pytorch-image-models/wandb/run-20250121_195907-qgb5973b/files/output.log

Scheduled epochs: 150 (epochs + cooldown_epochs). Warmup within epochs when warmup_prefix=False. LR stepped per epoch.
Train: 0 [   0/78 (  1%)]  Loss: 6.93 (6.93)  Time: 4.235s,  241.77/s  (4.235s,  241.77/s)  LR: 1.000e-05  Data: 1.700 (1.700)
Train: 0 [  50/78 ( 65%)]  Loss: 6.94 (6.94)  Time: 0.381s, 2686.19/s  (0.457s, 2242.77/s)  LR: 1.000e-05  Data: 0.027 (0.059)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.684 (1.684)  Loss:   6.946 ( 6.946)  Acc@1:   0.098 (  0.098)  Acc@5:   0.488 (  0.488)
Test: [  48/48]  Time: 0.666 (0.347)  Loss:   6.940 ( 6.939)  Acc@1:   0.118 (  0.070)  Acc@5:   0.354 (  0.490)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-0.pth.tar', 0.0699999999666214)

Train: 1 [   0/78 (  1%)]  Loss: 6.95 (6.95)  Time: 1.519s,  674.04/s  (1.519s,  674.04/s)  LR: 8.001e-02  Data: 1.056 (1.056)
Train: 1 [  50/78 ( 65%)]  Loss: 6.87 (6.90)  Time: 0.389s, 2630.62/s  (0.413s, 2481.61/s)  LR: 8.001e-02  Data: 0.027 (0.048)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.436 (1.436)  Loss:   6.771 ( 6.771)  Acc@1:   0.098 (  0.098)  Acc@5:   1.660 (  1.660)
Test: [  48/48]  Time: 0.087 (0.326)  Loss:   6.718 ( 6.759)  Acc@1:   0.472 (  0.602)  Acc@5:   3.302 (  2.366)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-1.pth.tar', 0.6019999998664856)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-0.pth.tar', 0.0699999999666214)

Train: 2 [   0/78 (  1%)]  Loss: 6.85 (6.85)  Time: 1.619s,  632.46/s  (1.619s,  632.46/s)  LR: 1.600e-01  Data: 1.259 (1.259)
Train: 2 [  50/78 ( 65%)]  Loss: 6.75 (6.80)  Time: 0.396s, 2586.24/s  (0.418s, 2450.49/s)  LR: 1.600e-01  Data: 0.027 (0.051)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.443 (1.443)  Loss:   6.603 ( 6.603)  Acc@1:   1.172 (  1.172)  Acc@5:   3.516 (  3.516)
Test: [  48/48]  Time: 0.087 (0.327)  Loss:   6.528 ( 6.576)  Acc@1:   0.825 (  1.056)  Acc@5:   4.599 (  3.930)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-2.pth.tar', 1.0559999990081788)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-1.pth.tar', 0.6019999998664856)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-0.pth.tar', 0.0699999999666214)

Train: 3 [   0/78 (  1%)]  Loss: 6.71 (6.71)  Time: 1.733s,  590.92/s  (1.733s,  590.92/s)  LR: 2.400e-01  Data: 1.287 (1.287)
Train: 3 [  50/78 ( 65%)]  Loss: 6.70 (6.72)  Time: 0.396s, 2587.38/s  (0.423s, 2423.14/s)  LR: 2.400e-01  Data: 0.024 (0.052)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.421 (1.421)  Loss:   6.469 ( 6.469)  Acc@1:   0.684 (  0.684)  Acc@5:   3.223 (  3.223)
Test: [  48/48]  Time: 0.088 (0.326)  Loss:   6.371 ( 6.453)  Acc@1:   1.533 (  1.324)  Acc@5:   6.368 (  4.918)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-3.pth.tar', 1.3239999993133544)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-2.pth.tar', 1.0559999990081788)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-1.pth.tar', 0.6019999998664856)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-0.pth.tar', 0.0699999999666214)

Train: 4 [   0/78 (  1%)]  Loss: 6.66 (6.66)  Time: 1.938s,  528.30/s  (1.938s,  528.30/s)  LR: 3.200e-01  Data: 1.158 (1.158)
Train: 4 [  50/78 ( 65%)]  Loss: 6.67 (6.66)  Time: 0.401s, 2555.99/s  (0.437s, 2345.49/s)  LR: 3.200e-01  Data: 0.028 (0.056)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.406 (1.406)  Loss:   6.355 ( 6.355)  Acc@1:   1.367 (  1.367)  Acc@5:   5.176 (  5.176)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   6.282 ( 6.338)  Acc@1:   2.358 (  1.804)  Acc@5:   6.958 (  6.182)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-4.pth.tar', 1.8040000023651124)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-3.pth.tar', 1.3239999993133544)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-2.pth.tar', 1.0559999990081788)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-1.pth.tar', 0.6019999998664856)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-0.pth.tar', 0.0699999999666214)

Train: 5 [   0/78 (  1%)]  Loss: 6.60 (6.60)  Time: 1.586s,  645.45/s  (1.586s,  645.45/s)  LR: 3.989e-01  Data: 1.215 (1.215)
Train: 5 [  50/78 ( 65%)]  Loss: 6.56 (6.58)  Time: 0.400s, 2560.53/s  (0.426s, 2403.66/s)  LR: 3.989e-01  Data: 0.027 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.415 (1.415)  Loss:   6.437 ( 6.437)  Acc@1:   1.562 (  1.562)  Acc@5:   5.078 (  5.078)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   6.393 ( 6.429)  Acc@1:   1.297 (  1.660)  Acc@5:   6.014 (  5.570)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-4.pth.tar', 1.8040000023651124)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-5.pth.tar', 1.659999999885559)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-3.pth.tar', 1.3239999993133544)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-2.pth.tar', 1.0559999990081788)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-1.pth.tar', 0.6019999998664856)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-0.pth.tar', 0.0699999999666214)

Train: 6 [   0/78 (  1%)]  Loss: 6.46 (6.46)  Time: 1.706s,  600.24/s  (1.706s,  600.24/s)  LR: 3.984e-01  Data: 1.339 (1.339)
Train: 6 [  50/78 ( 65%)]  Loss: 6.54 (6.49)  Time: 0.400s, 2559.43/s  (0.425s, 2407.14/s)  LR: 3.984e-01  Data: 0.027 (0.053)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.417 (1.417)  Loss:   6.099 ( 6.099)  Acc@1:   2.637 (  2.637)  Acc@5:   9.473 (  9.473)
Test: [  48/48]  Time: 0.089 (0.323)  Loss:   6.059 ( 6.101)  Acc@1:   2.948 (  2.662)  Acc@5:   9.670 (  8.726)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-6.pth.tar', 2.661999999923706)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-4.pth.tar', 1.8040000023651124)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-5.pth.tar', 1.659999999885559)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-3.pth.tar', 1.3239999993133544)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-2.pth.tar', 1.0559999990081788)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-1.pth.tar', 0.6019999998664856)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-0.pth.tar', 0.0699999999666214)

Train: 7 [   0/78 (  1%)]  Loss: 6.43 (6.43)  Time: 1.649s,  620.89/s  (1.649s,  620.89/s)  LR: 3.979e-01  Data: 1.100 (1.100)
Train: 7 [  50/78 ( 65%)]  Loss: 6.39 (6.41)  Time: 0.410s, 2499.40/s  (0.432s, 2372.36/s)  LR: 3.979e-01  Data: 0.027 (0.048)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.406 (1.406)  Loss:   6.073 ( 6.073)  Acc@1:   3.418 (  3.418)  Acc@5:   9.961 (  9.961)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   5.939 ( 6.020)  Acc@1:   2.948 (  3.154)  Acc@5:  10.377 (  9.612)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-7.pth.tar', 3.1539999999237063)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-6.pth.tar', 2.661999999923706)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-4.pth.tar', 1.8040000023651124)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-5.pth.tar', 1.659999999885559)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-3.pth.tar', 1.3239999993133544)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-2.pth.tar', 1.0559999990081788)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-1.pth.tar', 0.6019999998664856)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-0.pth.tar', 0.0699999999666214)

Train: 8 [   0/78 (  1%)]  Loss: 6.31 (6.31)  Time: 1.744s,  587.28/s  (1.744s,  587.28/s)  LR: 3.972e-01  Data: 1.374 (1.374)
Train: 8 [  50/78 ( 65%)]  Loss: 6.29 (6.32)  Time: 0.400s, 2561.26/s  (0.426s, 2402.18/s)  LR: 3.972e-01  Data: 0.029 (0.054)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.415 (1.415)  Loss:   5.859 ( 5.859)  Acc@1:   3.320 (  3.320)  Acc@5:  10.645 ( 10.645)
Test: [  48/48]  Time: 0.088 (0.326)  Loss:   5.724 ( 5.820)  Acc@1:   4.599 (  4.178)  Acc@5:  15.802 ( 13.050)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-8.pth.tar', 4.1780000019836425)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-7.pth.tar', 3.1539999999237063)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-6.pth.tar', 2.661999999923706)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-4.pth.tar', 1.8040000023651124)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-5.pth.tar', 1.659999999885559)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-3.pth.tar', 1.3239999993133544)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-2.pth.tar', 1.0559999990081788)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-1.pth.tar', 0.6019999998664856)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-0.pth.tar', 0.0699999999666214)

Train: 9 [   0/78 (  1%)]  Loss: 6.21 (6.21)  Time: 1.515s,  675.89/s  (1.515s,  675.89/s)  LR: 3.965e-01  Data: 1.115 (1.115)
Train: 9 [  50/78 ( 65%)]  Loss: 6.19 (6.23)  Time: 0.405s, 2530.15/s  (0.425s, 2407.01/s)  LR: 3.965e-01  Data: 0.028 (0.049)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.409 (1.409)  Loss:   5.624 ( 5.624)  Acc@1:   5.273 (  5.273)  Acc@5:  16.016 ( 16.016)
Test: [  48/48]  Time: 0.089 (0.324)  Loss:   5.492 ( 5.583)  Acc@1:   6.250 (  5.564)  Acc@5:  19.340 ( 15.714)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-9.pth.tar', 5.564)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-8.pth.tar', 4.1780000019836425)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-7.pth.tar', 3.1539999999237063)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-6.pth.tar', 2.661999999923706)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-4.pth.tar', 1.8040000023651124)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-5.pth.tar', 1.659999999885559)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-3.pth.tar', 1.3239999993133544)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-2.pth.tar', 1.0559999990081788)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-1.pth.tar', 0.6019999998664856)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-0.pth.tar', 0.0699999999666214)

Train: 10 [   0/78 (  1%)]  Loss: 6.15 (6.15)  Time: 1.670s,  613.29/s  (1.670s,  613.29/s)  LR: 3.956e-01  Data: 1.109 (1.109)
Train: 10 [  50/78 ( 65%)]  Loss: 6.17 (6.16)  Time: 0.404s, 2533.33/s  (0.433s, 2366.90/s)  LR: 3.956e-01  Data: 0.027 (0.048)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.414 (1.414)  Loss:   5.721 ( 5.721)  Acc@1:   4.883 (  4.883)  Acc@5:  13.770 ( 13.770)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   5.540 ( 5.669)  Acc@1:   6.014 (  4.838)  Acc@5:  16.627 ( 14.100)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-9.pth.tar', 5.564)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-10.pth.tar', 4.838000002593994)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-8.pth.tar', 4.1780000019836425)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-7.pth.tar', 3.1539999999237063)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-6.pth.tar', 2.661999999923706)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-4.pth.tar', 1.8040000023651124)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-5.pth.tar', 1.659999999885559)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-3.pth.tar', 1.3239999993133544)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-2.pth.tar', 1.0559999990081788)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-1.pth.tar', 0.6019999998664856)

Train: 11 [   0/78 (  1%)]  Loss: 6.10 (6.10)  Time: 1.866s,  548.73/s  (1.866s,  548.73/s)  LR: 3.947e-01  Data: 1.497 (1.497)
Train: 11 [  50/78 ( 65%)]  Loss: 6.06 (6.07)  Time: 0.406s, 2522.78/s  (0.432s, 2369.65/s)  LR: 3.947e-01  Data: 0.028 (0.056)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.412 (1.412)  Loss:   5.513 ( 5.513)  Acc@1:   5.371 (  5.371)  Acc@5:  16.992 ( 16.992)
Test: [  48/48]  Time: 0.089 (0.325)  Loss:   5.363 ( 5.459)  Acc@1:   6.368 (  6.596)  Acc@5:  20.283 ( 18.118)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-11.pth.tar', 6.596000002746582)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-9.pth.tar', 5.564)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-10.pth.tar', 4.838000002593994)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-8.pth.tar', 4.1780000019836425)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-7.pth.tar', 3.1539999999237063)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-6.pth.tar', 2.661999999923706)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-4.pth.tar', 1.8040000023651124)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-5.pth.tar', 1.659999999885559)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-3.pth.tar', 1.3239999993133544)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-2.pth.tar', 1.0559999990081788)

Train: 12 [   0/78 (  1%)]  Loss: 5.99 (5.99)  Time: 1.661s,  616.51/s  (1.661s,  616.51/s)  LR: 3.937e-01  Data: 1.152 (1.152)
Train: 12 [  50/78 ( 65%)]  Loss: 6.01 (6.01)  Time: 0.407s, 2517.08/s  (0.433s, 2367.30/s)  LR: 3.937e-01  Data: 0.028 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.424 (1.424)  Loss:   5.520 ( 5.520)  Acc@1:   5.957 (  5.957)  Acc@5:  17.090 ( 17.090)
Test: [  48/48]  Time: 0.088 (0.322)  Loss:   5.399 ( 5.484)  Acc@1:   6.840 (  6.358)  Acc@5:  19.929 ( 17.518)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-11.pth.tar', 6.596000002746582)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-12.pth.tar', 6.3580000137329105)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-9.pth.tar', 5.564)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-10.pth.tar', 4.838000002593994)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-8.pth.tar', 4.1780000019836425)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-7.pth.tar', 3.1539999999237063)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-6.pth.tar', 2.661999999923706)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-4.pth.tar', 1.8040000023651124)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-5.pth.tar', 1.659999999885559)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-3.pth.tar', 1.3239999993133544)

Train: 13 [   0/78 (  1%)]  Loss: 5.90 (5.90)  Time: 1.796s,  570.06/s  (1.796s,  570.06/s)  LR: 3.926e-01  Data: 1.261 (1.261)
Train: 13 [  50/78 ( 65%)]  Loss: 5.96 (5.93)  Time: 0.402s, 2548.49/s  (0.429s, 2385.34/s)  LR: 3.926e-01  Data: 0.027 (0.052)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.443 (1.443)  Loss:   5.300 ( 5.300)  Acc@1:   7.324 (  7.324)  Acc@5:  19.141 ( 19.141)
Test: [  48/48]  Time: 0.089 (0.323)  Loss:   5.186 ( 5.274)  Acc@1:   9.080 (  8.284)  Acc@5:  24.764 ( 21.138)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-13.pth.tar', 8.284000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-11.pth.tar', 6.596000002746582)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-12.pth.tar', 6.3580000137329105)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-9.pth.tar', 5.564)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-10.pth.tar', 4.838000002593994)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-8.pth.tar', 4.1780000019836425)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-7.pth.tar', 3.1539999999237063)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-6.pth.tar', 2.661999999923706)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-4.pth.tar', 1.8040000023651124)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-5.pth.tar', 1.659999999885559)

Train: 14 [   0/78 (  1%)]  Loss: 5.85 (5.85)  Time: 1.863s,  549.79/s  (1.863s,  549.79/s)  LR: 3.915e-01  Data: 1.488 (1.488)
Train: 14 [  50/78 ( 65%)]  Loss: 5.87 (5.85)  Time: 0.410s, 2499.24/s  (0.439s, 2332.33/s)  LR: 3.915e-01  Data: 0.028 (0.056)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.413 (1.413)  Loss:   5.441 ( 5.441)  Acc@1:   6.934 (  6.934)  Acc@5:  19.336 ( 19.336)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   5.304 ( 5.369)  Acc@1:   7.311 (  7.198)  Acc@5:  21.462 ( 19.212)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-13.pth.tar', 8.284000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-14.pth.tar', 7.198000000457764)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-11.pth.tar', 6.596000002746582)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-12.pth.tar', 6.3580000137329105)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-9.pth.tar', 5.564)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-10.pth.tar', 4.838000002593994)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-8.pth.tar', 4.1780000019836425)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-7.pth.tar', 3.1539999999237063)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-6.pth.tar', 2.661999999923706)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-4.pth.tar', 1.8040000023651124)

Train: 15 [   0/78 (  1%)]  Loss: 5.74 (5.74)  Time: 1.745s,  586.97/s  (1.745s,  586.97/s)  LR: 3.902e-01  Data: 1.374 (1.374)
Train: 15 [  50/78 ( 65%)]  Loss: 5.72 (5.78)  Time: 0.401s, 2556.21/s  (0.427s, 2396.58/s)  LR: 3.902e-01  Data: 0.027 (0.054)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.418 (1.418)  Loss:   5.283 ( 5.283)  Acc@1:   8.301 (  8.301)  Acc@5:  20.605 ( 20.605)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   5.181 ( 5.265)  Acc@1:   9.080 (  8.206)  Acc@5:  23.113 ( 21.326)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-13.pth.tar', 8.284000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-15.pth.tar', 8.206000001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-14.pth.tar', 7.198000000457764)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-11.pth.tar', 6.596000002746582)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-12.pth.tar', 6.3580000137329105)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-9.pth.tar', 5.564)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-10.pth.tar', 4.838000002593994)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-8.pth.tar', 4.1780000019836425)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-7.pth.tar', 3.1539999999237063)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-6.pth.tar', 2.661999999923706)

Train: 16 [   0/78 (  1%)]  Loss: 5.75 (5.75)  Time: 1.818s,  563.38/s  (1.818s,  563.38/s)  LR: 3.889e-01  Data: 1.443 (1.443)
Train: 16 [  50/78 ( 65%)]  Loss: 5.84 (5.72)  Time: 0.410s, 2498.48/s  (0.437s, 2341.23/s)  LR: 3.889e-01  Data: 0.028 (0.055)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.435 (1.435)  Loss:   5.055 ( 5.055)  Acc@1:   9.473 (  9.473)  Acc@5:  26.562 ( 26.562)
Test: [  48/48]  Time: 0.089 (0.324)  Loss:   4.933 ( 5.001)  Acc@1:  12.146 ( 11.124)  Acc@5:  30.425 ( 26.590)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-16.pth.tar', 11.124000007934571)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-13.pth.tar', 8.284000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-15.pth.tar', 8.206000001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-14.pth.tar', 7.198000000457764)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-11.pth.tar', 6.596000002746582)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-12.pth.tar', 6.3580000137329105)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-9.pth.tar', 5.564)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-10.pth.tar', 4.838000002593994)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-8.pth.tar', 4.1780000019836425)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-7.pth.tar', 3.1539999999237063)

Train: 17 [   0/78 (  1%)]  Loss: 5.58 (5.58)  Time: 1.590s,  644.14/s  (1.590s,  644.14/s)  LR: 3.875e-01  Data: 1.215 (1.215)
Train: 17 [  50/78 ( 65%)]  Loss: 5.68 (5.65)  Time: 0.407s, 2516.29/s  (0.431s, 2375.45/s)  LR: 3.875e-01  Data: 0.025 (0.051)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.439 (1.439)  Loss:   5.121 ( 5.121)  Acc@1:  10.449 ( 10.449)  Acc@5:  24.805 ( 24.805)
Test: [  48/48]  Time: 0.088 (0.325)  Loss:   5.059 ( 5.095)  Acc@1:   9.670 ( 10.306)  Acc@5:  27.241 ( 25.178)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-16.pth.tar', 11.124000007934571)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-17.pth.tar', 10.306000014953613)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-13.pth.tar', 8.284000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-15.pth.tar', 8.206000001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-14.pth.tar', 7.198000000457764)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-11.pth.tar', 6.596000002746582)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-12.pth.tar', 6.3580000137329105)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-9.pth.tar', 5.564)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-10.pth.tar', 4.838000002593994)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-8.pth.tar', 4.1780000019836425)

Train: 18 [   0/78 (  1%)]  Loss: 5.62 (5.62)  Time: 1.645s,  622.67/s  (1.645s,  622.67/s)  LR: 3.860e-01  Data: 1.136 (1.136)
Train: 18 [  50/78 ( 65%)]  Loss: 5.56 (5.59)  Time: 0.412s, 2487.23/s  (0.433s, 2365.56/s)  LR: 3.860e-01  Data: 0.028 (0.049)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.426 (1.426)  Loss:   4.939 ( 4.939)  Acc@1:  11.426 ( 11.426)  Acc@5:  27.148 ( 27.148)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   4.852 ( 4.947)  Acc@1:  13.443 ( 11.442)  Acc@5:  29.127 ( 27.240)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-18.pth.tar', 11.44200000579834)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-16.pth.tar', 11.124000007934571)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-17.pth.tar', 10.306000014953613)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-13.pth.tar', 8.284000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-15.pth.tar', 8.206000001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-14.pth.tar', 7.198000000457764)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-11.pth.tar', 6.596000002746582)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-12.pth.tar', 6.3580000137329105)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-9.pth.tar', 5.564)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-10.pth.tar', 4.838000002593994)

Train: 19 [   0/78 (  1%)]  Loss: 5.52 (5.52)  Time: 1.598s,  640.95/s  (1.598s,  640.95/s)  LR: 3.844e-01  Data: 1.227 (1.227)
Train: 19 [  50/78 ( 65%)]  Loss: 5.61 (5.53)  Time: 0.398s, 2570.68/s  (0.426s, 2406.34/s)  LR: 3.844e-01  Data: 0.028 (0.053)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.430 (1.430)  Loss:   4.720 ( 4.720)  Acc@1:  14.648 ( 14.648)  Acc@5:  31.445 ( 31.445)
Test: [  48/48]  Time: 0.087 (0.325)  Loss:   4.589 ( 4.693)  Acc@1:  14.623 ( 13.792)  Acc@5:  34.080 ( 31.950)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-19.pth.tar', 13.792000017089844)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-18.pth.tar', 11.44200000579834)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-16.pth.tar', 11.124000007934571)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-17.pth.tar', 10.306000014953613)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-13.pth.tar', 8.284000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-15.pth.tar', 8.206000001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-14.pth.tar', 7.198000000457764)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-11.pth.tar', 6.596000002746582)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-12.pth.tar', 6.3580000137329105)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-9.pth.tar', 5.564)

Train: 20 [   0/78 (  1%)]  Loss: 5.33 (5.33)  Time: 1.568s,  653.22/s  (1.568s,  653.22/s)  LR: 3.827e-01  Data: 1.202 (1.202)
Train: 20 [  50/78 ( 65%)]  Loss: 5.53 (5.45)  Time: 0.399s, 2564.83/s  (0.420s, 2437.67/s)  LR: 3.827e-01  Data: 0.026 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.424 (1.424)  Loss:   5.014 ( 5.014)  Acc@1:  11.426 ( 11.426)  Acc@5:  25.879 ( 25.879)
Test: [  48/48]  Time: 0.088 (0.322)  Loss:   4.894 ( 5.009)  Acc@1:  14.033 ( 11.566)  Acc@5:  31.014 ( 27.256)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-19.pth.tar', 13.792000017089844)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-20.pth.tar', 11.565999987182618)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-18.pth.tar', 11.44200000579834)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-16.pth.tar', 11.124000007934571)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-17.pth.tar', 10.306000014953613)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-13.pth.tar', 8.284000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-15.pth.tar', 8.206000001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-14.pth.tar', 7.198000000457764)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-11.pth.tar', 6.596000002746582)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-12.pth.tar', 6.3580000137329105)

Train: 21 [   0/78 (  1%)]  Loss: 5.45 (5.45)  Time: 1.744s,  587.30/s  (1.744s,  587.30/s)  LR: 3.810e-01  Data: 1.373 (1.373)
Train: 21 [  50/78 ( 65%)]  Loss: 5.45 (5.41)  Time: 0.407s, 2517.97/s  (0.431s, 2374.36/s)  LR: 3.810e-01  Data: 0.029 (0.054)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.406 (1.406)  Loss:   4.738 ( 4.738)  Acc@1:  12.891 ( 12.891)  Acc@5:  30.078 ( 30.078)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.613 ( 4.724)  Acc@1:  15.448 ( 13.666)  Acc@5:  34.788 ( 31.292)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-19.pth.tar', 13.792000017089844)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-21.pth.tar', 13.666000003967286)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-20.pth.tar', 11.565999987182618)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-18.pth.tar', 11.44200000579834)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-16.pth.tar', 11.124000007934571)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-17.pth.tar', 10.306000014953613)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-13.pth.tar', 8.284000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-15.pth.tar', 8.206000001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-14.pth.tar', 7.198000000457764)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-11.pth.tar', 6.596000002746582)

Train: 22 [   0/78 (  1%)]  Loss: 5.29 (5.29)  Time: 1.601s,  639.64/s  (1.601s,  639.64/s)  LR: 3.791e-01  Data: 1.231 (1.231)
Train: 22 [  50/78 ( 65%)]  Loss: 5.43 (5.35)  Time: 0.404s, 2536.68/s  (0.427s, 2400.49/s)  LR: 3.791e-01  Data: 0.028 (0.051)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.425 (1.425)  Loss:   4.599 ( 4.599)  Acc@1:  16.797 ( 16.797)  Acc@5:  33.691 ( 33.691)
Test: [  48/48]  Time: 0.089 (0.323)  Loss:   4.396 ( 4.573)  Acc@1:  17.689 ( 15.520)  Acc@5:  37.854 ( 34.514)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-22.pth.tar', 15.519999991455078)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-19.pth.tar', 13.792000017089844)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-21.pth.tar', 13.666000003967286)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-20.pth.tar', 11.565999987182618)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-18.pth.tar', 11.44200000579834)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-16.pth.tar', 11.124000007934571)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-17.pth.tar', 10.306000014953613)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-13.pth.tar', 8.284000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-15.pth.tar', 8.206000001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-14.pth.tar', 7.198000000457764)

Train: 23 [   0/78 (  1%)]  Loss: 5.25 (5.25)  Time: 1.581s,  647.63/s  (1.581s,  647.63/s)  LR: 3.772e-01  Data: 1.206 (1.206)
Train: 23 [  50/78 ( 65%)]  Loss: 5.37 (5.29)  Time: 0.409s, 2506.64/s  (0.431s, 2375.12/s)  LR: 3.772e-01  Data: 0.027 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.424 (1.424)  Loss:   4.680 ( 4.680)  Acc@1:  14.648 ( 14.648)  Acc@5:  33.887 ( 33.887)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.513 ( 4.635)  Acc@1:  16.156 ( 15.188)  Acc@5:  36.675 ( 34.018)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-22.pth.tar', 15.519999991455078)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-23.pth.tar', 15.18800000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-19.pth.tar', 13.792000017089844)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-21.pth.tar', 13.666000003967286)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-20.pth.tar', 11.565999987182618)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-18.pth.tar', 11.44200000579834)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-16.pth.tar', 11.124000007934571)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-17.pth.tar', 10.306000014953613)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-13.pth.tar', 8.284000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-15.pth.tar', 8.206000001220703)

Train: 24 [   0/78 (  1%)]  Loss: 5.20 (5.20)  Time: 1.713s,  597.82/s  (1.713s,  597.82/s)  LR: 3.753e-01  Data: 1.344 (1.344)
Train: 24 [  50/78 ( 65%)]  Loss: 5.30 (5.22)  Time: 0.405s, 2525.90/s  (0.426s, 2400.99/s)  LR: 3.753e-01  Data: 0.033 (0.053)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.440 (1.440)  Loss:   4.484 ( 4.484)  Acc@1:  17.969 ( 17.969)  Acc@5:  37.695 ( 37.695)
Test: [  48/48]  Time: 0.088 (0.325)  Loss:   4.340 ( 4.490)  Acc@1:  19.458 ( 17.048)  Acc@5:  40.330 ( 37.056)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-24.pth.tar', 17.04800001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-22.pth.tar', 15.519999991455078)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-23.pth.tar', 15.18800000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-19.pth.tar', 13.792000017089844)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-21.pth.tar', 13.666000003967286)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-20.pth.tar', 11.565999987182618)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-18.pth.tar', 11.44200000579834)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-16.pth.tar', 11.124000007934571)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-17.pth.tar', 10.306000014953613)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-13.pth.tar', 8.284000001220702)

Train: 25 [   0/78 (  1%)]  Loss: 5.08 (5.08)  Time: 1.587s,  645.12/s  (1.587s,  645.12/s)  LR: 3.732e-01  Data: 1.217 (1.217)
Train: 25 [  50/78 ( 65%)]  Loss: 5.21 (5.17)  Time: 0.404s, 2534.55/s  (0.426s, 2403.58/s)  LR: 3.732e-01  Data: 0.027 (0.051)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.431 (1.431)  Loss:   4.429 ( 4.429)  Acc@1:  16.699 ( 16.699)  Acc@5:  37.402 ( 37.402)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   4.230 ( 4.366)  Acc@1:  21.698 ( 17.962)  Acc@5:  40.920 ( 38.670)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-25.pth.tar', 17.962000020141602)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-24.pth.tar', 17.04800001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-22.pth.tar', 15.519999991455078)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-23.pth.tar', 15.18800000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-19.pth.tar', 13.792000017089844)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-21.pth.tar', 13.666000003967286)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-20.pth.tar', 11.565999987182618)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-18.pth.tar', 11.44200000579834)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-16.pth.tar', 11.124000007934571)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-17.pth.tar', 10.306000014953613)

Train: 26 [   0/78 (  1%)]  Loss: 5.08 (5.08)  Time: 1.580s,  647.97/s  (1.580s,  647.97/s)  LR: 3.711e-01  Data: 1.206 (1.206)
Train: 26 [  50/78 ( 65%)]  Loss: 5.20 (5.13)  Time: 0.411s, 2491.29/s  (0.432s, 2370.02/s)  LR: 3.711e-01  Data: 0.027 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.415 (1.415)  Loss:   4.535 ( 4.535)  Acc@1:  15.430 ( 15.430)  Acc@5:  36.035 ( 36.035)
Test: [  48/48]  Time: 0.087 (0.323)  Loss:   4.323 ( 4.466)  Acc@1:  18.986 ( 16.616)  Acc@5:  39.976 ( 36.386)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-25.pth.tar', 17.962000020141602)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-24.pth.tar', 17.04800001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-26.pth.tar', 16.616000005493163)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-22.pth.tar', 15.519999991455078)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-23.pth.tar', 15.18800000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-19.pth.tar', 13.792000017089844)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-21.pth.tar', 13.666000003967286)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-20.pth.tar', 11.565999987182618)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-18.pth.tar', 11.44200000579834)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-16.pth.tar', 11.124000007934571)

Train: 27 [   0/78 (  1%)]  Loss: 5.01 (5.01)  Time: 1.556s,  658.03/s  (1.556s,  658.03/s)  LR: 3.689e-01  Data: 1.189 (1.189)
Train: 27 [  50/78 ( 65%)]  Loss: 5.20 (5.08)  Time: 0.399s, 2564.00/s  (0.422s, 2423.71/s)  LR: 3.689e-01  Data: 0.027 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.418 (1.418)  Loss:   4.601 ( 4.601)  Acc@1:  16.797 ( 16.797)  Acc@5:  33.984 ( 33.984)
Test: [  48/48]  Time: 0.088 (0.325)  Loss:   4.443 ( 4.547)  Acc@1:  18.278 ( 16.168)  Acc@5:  37.382 ( 35.216)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-25.pth.tar', 17.962000020141602)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-24.pth.tar', 17.04800001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-26.pth.tar', 16.616000005493163)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-27.pth.tar', 16.167999989013673)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-22.pth.tar', 15.519999991455078)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-23.pth.tar', 15.18800000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-19.pth.tar', 13.792000017089844)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-21.pth.tar', 13.666000003967286)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-20.pth.tar', 11.565999987182618)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-18.pth.tar', 11.44200000579834)

Train: 28 [   0/78 (  1%)]  Loss: 4.96 (4.96)  Time: 1.655s,  618.58/s  (1.655s,  618.58/s)  LR: 3.666e-01  Data: 1.287 (1.287)
Train: 28 [  50/78 ( 65%)]  Loss: 5.05 (5.01)  Time: 0.402s, 2547.07/s  (0.427s, 2398.09/s)  LR: 3.666e-01  Data: 0.027 (0.052)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.436 (1.436)  Loss:   4.378 ( 4.378)  Acc@1:  16.895 ( 16.895)  Acc@5:  38.574 ( 38.574)
Test: [  48/48]  Time: 0.088 (0.326)  Loss:   4.199 ( 4.345)  Acc@1:  20.401 ( 18.046)  Acc@5:  41.038 ( 38.514)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-28.pth.tar', 18.046000006103515)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-25.pth.tar', 17.962000020141602)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-24.pth.tar', 17.04800001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-26.pth.tar', 16.616000005493163)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-27.pth.tar', 16.167999989013673)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-22.pth.tar', 15.519999991455078)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-23.pth.tar', 15.18800000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-19.pth.tar', 13.792000017089844)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-21.pth.tar', 13.666000003967286)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-20.pth.tar', 11.565999987182618)

Train: 29 [   0/78 (  1%)]  Loss: 4.87 (4.87)  Time: 1.546s,  662.41/s  (1.546s,  662.41/s)  LR: 3.642e-01  Data: 1.161 (1.161)
Train: 29 [  50/78 ( 65%)]  Loss: 5.04 (4.96)  Time: 0.404s, 2532.75/s  (0.436s, 2345.96/s)  LR: 3.642e-01  Data: 0.027 (0.054)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.423 (1.423)  Loss:   4.452 ( 4.452)  Acc@1:  19.043 ( 19.043)  Acc@5:  37.695 ( 37.695)
Test: [  48/48]  Time: 0.087 (0.324)  Loss:   4.262 ( 4.407)  Acc@1:  19.340 ( 18.172)  Acc@5:  39.623 ( 38.302)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-29.pth.tar', 18.171999997558594)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-28.pth.tar', 18.046000006103515)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-25.pth.tar', 17.962000020141602)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-24.pth.tar', 17.04800001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-26.pth.tar', 16.616000005493163)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-27.pth.tar', 16.167999989013673)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-22.pth.tar', 15.519999991455078)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-23.pth.tar', 15.18800000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-19.pth.tar', 13.792000017089844)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-21.pth.tar', 13.666000003967286)

Train: 30 [   0/78 (  1%)]  Loss: 4.92 (4.92)  Time: 1.666s,  614.80/s  (1.666s,  614.80/s)  LR: 3.618e-01  Data: 1.170 (1.170)
Train: 30 [  50/78 ( 65%)]  Loss: 4.98 (4.91)  Time: 0.394s, 2597.45/s  (0.421s, 2434.14/s)  LR: 3.618e-01  Data: 0.026 (0.051)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.424 (1.424)  Loss:   4.354 ( 4.354)  Acc@1:  17.871 ( 17.871)  Acc@5:  41.406 ( 41.406)
Test: [  48/48]  Time: 0.087 (0.324)  Loss:   4.139 ( 4.351)  Acc@1:  21.226 ( 18.748)  Acc@5:  42.807 ( 39.382)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-30.pth.tar', 18.748000009155273)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-29.pth.tar', 18.171999997558594)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-28.pth.tar', 18.046000006103515)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-25.pth.tar', 17.962000020141602)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-24.pth.tar', 17.04800001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-26.pth.tar', 16.616000005493163)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-27.pth.tar', 16.167999989013673)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-22.pth.tar', 15.519999991455078)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-23.pth.tar', 15.18800000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-19.pth.tar', 13.792000017089844)

Train: 31 [   0/78 (  1%)]  Loss: 4.72 (4.72)  Time: 1.488s,  688.34/s  (1.488s,  688.34/s)  LR: 3.593e-01  Data: 1.124 (1.124)
Train: 31 [  50/78 ( 65%)]  Loss: 4.86 (4.85)  Time: 0.396s, 2584.14/s  (0.417s, 2456.93/s)  LR: 3.593e-01  Data: 0.028 (0.049)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.443 (1.443)  Loss:   4.330 ( 4.330)  Acc@1:  18.066 ( 18.066)  Acc@5:  41.113 ( 41.113)
Test: [  48/48]  Time: 0.087 (0.324)  Loss:   4.098 ( 4.256)  Acc@1:  22.877 ( 19.558)  Acc@5:  44.222 ( 41.380)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-31.pth.tar', 19.558000015258788)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-30.pth.tar', 18.748000009155273)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-29.pth.tar', 18.171999997558594)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-28.pth.tar', 18.046000006103515)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-25.pth.tar', 17.962000020141602)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-24.pth.tar', 17.04800001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-26.pth.tar', 16.616000005493163)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-27.pth.tar', 16.167999989013673)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-22.pth.tar', 15.519999991455078)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-23.pth.tar', 15.18800000427246)

Train: 32 [   0/78 (  1%)]  Loss: 4.78 (4.78)  Time: 1.967s,  520.47/s  (1.967s,  520.47/s)  LR: 3.567e-01  Data: 1.600 (1.600)
Train: 32 [  50/78 ( 65%)]  Loss: 4.95 (4.81)  Time: 0.401s, 2556.72/s  (0.431s, 2378.02/s)  LR: 3.567e-01  Data: 0.027 (0.058)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.447 (1.447)  Loss:   4.240 ( 4.240)  Acc@1:  19.336 ( 19.336)  Acc@5:  39.355 ( 39.355)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.044 ( 4.207)  Acc@1:  22.524 ( 20.044)  Acc@5:  45.283 ( 41.578)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-32.pth.tar', 20.04400002319336)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-31.pth.tar', 19.558000015258788)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-30.pth.tar', 18.748000009155273)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-29.pth.tar', 18.171999997558594)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-28.pth.tar', 18.046000006103515)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-25.pth.tar', 17.962000020141602)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-24.pth.tar', 17.04800001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-26.pth.tar', 16.616000005493163)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-27.pth.tar', 16.167999989013673)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-22.pth.tar', 15.519999991455078)

Train: 33 [   0/78 (  1%)]  Loss: 4.67 (4.67)  Time: 1.704s,  600.80/s  (1.704s,  600.80/s)  LR: 3.541e-01  Data: 1.333 (1.333)
Train: 33 [  50/78 ( 65%)]  Loss: 4.86 (4.76)  Time: 0.405s, 2528.79/s  (0.429s, 2388.67/s)  LR: 3.541e-01  Data: 0.029 (0.053)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.426 (1.426)  Loss:   4.203 ( 4.203)  Acc@1:  19.824 ( 19.824)  Acc@5:  41.309 ( 41.309)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.031 ( 4.203)  Acc@1:  21.462 ( 19.824)  Acc@5:  45.165 ( 41.664)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-32.pth.tar', 20.04400002319336)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-33.pth.tar', 19.824000014648437)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-31.pth.tar', 19.558000015258788)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-30.pth.tar', 18.748000009155273)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-29.pth.tar', 18.171999997558594)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-28.pth.tar', 18.046000006103515)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-25.pth.tar', 17.962000020141602)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-24.pth.tar', 17.04800001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-26.pth.tar', 16.616000005493163)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-27.pth.tar', 16.167999989013673)

Train: 34 [   0/78 (  1%)]  Loss: 4.61 (4.61)  Time: 2.041s,  501.81/s  (2.041s,  501.81/s)  LR: 3.514e-01  Data: 1.666 (1.666)
Train: 34 [  50/78 ( 65%)]  Loss: 4.66 (4.70)  Time: 0.414s, 2471.35/s  (0.441s, 2320.13/s)  LR: 3.514e-01  Data: 0.027 (0.060)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.441 (1.441)  Loss:   4.112 ( 4.112)  Acc@1:  21.973 ( 21.973)  Acc@5:  42.676 ( 42.676)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   3.974 ( 4.139)  Acc@1:  23.821 ( 20.902)  Acc@5:  46.226 ( 43.210)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-34.pth.tar', 20.90200000488281)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-32.pth.tar', 20.04400002319336)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-33.pth.tar', 19.824000014648437)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-31.pth.tar', 19.558000015258788)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-30.pth.tar', 18.748000009155273)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-29.pth.tar', 18.171999997558594)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-28.pth.tar', 18.046000006103515)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-25.pth.tar', 17.962000020141602)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-24.pth.tar', 17.04800001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-26.pth.tar', 16.616000005493163)

Train: 35 [   0/78 (  1%)]  Loss: 4.59 (4.59)  Time: 1.628s,  628.80/s  (1.628s,  628.80/s)  LR: 3.486e-01  Data: 1.080 (1.080)
Train: 35 [  50/78 ( 65%)]  Loss: 4.67 (4.65)  Time: 0.408s, 2510.51/s  (0.432s, 2370.84/s)  LR: 3.486e-01  Data: 0.028 (0.049)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.475 (1.475)  Loss:   4.093 ( 4.093)  Acc@1:  23.340 ( 23.340)  Acc@5:  44.531 ( 44.531)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   3.854 ( 4.058)  Acc@1:  26.297 ( 22.492)  Acc@5:  49.410 ( 45.178)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-35.pth.tar', 22.491999981689453)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-34.pth.tar', 20.90200000488281)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-32.pth.tar', 20.04400002319336)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-33.pth.tar', 19.824000014648437)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-31.pth.tar', 19.558000015258788)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-30.pth.tar', 18.748000009155273)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-29.pth.tar', 18.171999997558594)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-28.pth.tar', 18.046000006103515)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-25.pth.tar', 17.962000020141602)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-24.pth.tar', 17.04800001647949)

Train: 36 [   0/78 (  1%)]  Loss: 4.62 (4.62)  Time: 1.585s,  645.90/s  (1.585s,  645.90/s)  LR: 3.458e-01  Data: 1.220 (1.220)
Train: 36 [  50/78 ( 65%)]  Loss: 4.67 (4.61)  Time: 0.398s, 2576.05/s  (0.421s, 2434.86/s)  LR: 3.458e-01  Data: 0.027 (0.051)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.439 (1.439)  Loss:   4.136 ( 4.136)  Acc@1:  20.801 ( 20.801)  Acc@5:  43.848 ( 43.848)
Test: [  48/48]  Time: 0.087 (0.326)  Loss:   3.970 ( 4.155)  Acc@1:  26.297 ( 21.044)  Acc@5:  45.991 ( 42.928)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-35.pth.tar', 22.491999981689453)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-36.pth.tar', 21.044000014038087)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-34.pth.tar', 20.90200000488281)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-32.pth.tar', 20.04400002319336)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-33.pth.tar', 19.824000014648437)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-31.pth.tar', 19.558000015258788)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-30.pth.tar', 18.748000009155273)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-29.pth.tar', 18.171999997558594)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-28.pth.tar', 18.046000006103515)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-25.pth.tar', 17.962000020141602)

Train: 37 [   0/78 (  1%)]  Loss: 4.46 (4.46)  Time: 1.756s,  583.14/s  (1.756s,  583.14/s)  LR: 3.429e-01  Data: 1.123 (1.123)
Train: 37 [  50/78 ( 65%)]  Loss: 4.61 (4.55)  Time: 0.402s, 2548.00/s  (0.424s, 2413.48/s)  LR: 3.429e-01  Data: 0.027 (0.049)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.439 (1.439)  Loss:   4.161 ( 4.161)  Acc@1:  22.363 ( 22.363)  Acc@5:  42.676 ( 42.676)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.008 ( 4.194)  Acc@1:  22.877 ( 21.104)  Acc@5:  46.816 ( 42.888)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-35.pth.tar', 22.491999981689453)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-37.pth.tar', 21.10400001525879)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-36.pth.tar', 21.044000014038087)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-34.pth.tar', 20.90200000488281)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-32.pth.tar', 20.04400002319336)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-33.pth.tar', 19.824000014648437)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-31.pth.tar', 19.558000015258788)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-30.pth.tar', 18.748000009155273)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-29.pth.tar', 18.171999997558594)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-28.pth.tar', 18.046000006103515)

Train: 38 [   0/78 (  1%)]  Loss: 4.43 (4.43)  Time: 1.444s,  709.06/s  (1.444s,  709.06/s)  LR: 3.399e-01  Data: 1.057 (1.057)
Train: 38 [  50/78 ( 65%)]  Loss: 4.46 (4.49)  Time: 0.404s, 2531.82/s  (0.426s, 2401.05/s)  LR: 3.399e-01  Data: 0.027 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.459 (1.459)  Loss:   4.126 ( 4.126)  Acc@1:  23.926 ( 23.926)  Acc@5:  45.410 ( 45.410)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   3.887 ( 4.101)  Acc@1:  25.708 ( 22.492)  Acc@5:  48.939 ( 44.724)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-38.pth.tar', 22.49200001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-35.pth.tar', 22.491999981689453)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-37.pth.tar', 21.10400001525879)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-36.pth.tar', 21.044000014038087)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-34.pth.tar', 20.90200000488281)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-32.pth.tar', 20.04400002319336)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-33.pth.tar', 19.824000014648437)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-31.pth.tar', 19.558000015258788)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-30.pth.tar', 18.748000009155273)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-29.pth.tar', 18.171999997558594)

Train: 39 [   0/78 (  1%)]  Loss: 4.42 (4.42)  Time: 1.574s,  650.43/s  (1.574s,  650.43/s)  LR: 3.369e-01  Data: 1.201 (1.201)
Train: 39 [  50/78 ( 65%)]  Loss: 4.58 (4.46)  Time: 0.412s, 2486.39/s  (0.430s, 2381.94/s)  LR: 3.369e-01  Data: 0.029 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.412 (1.412)  Loss:   4.251 ( 4.251)  Acc@1:  20.898 ( 20.898)  Acc@5:  41.797 ( 41.797)
Test: [  48/48]  Time: 0.088 (0.322)  Loss:   4.021 ( 4.179)  Acc@1:  24.764 ( 21.418)  Acc@5:  46.580 ( 42.790)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-38.pth.tar', 22.49200001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-35.pth.tar', 22.491999981689453)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-39.pth.tar', 21.41800002685547)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-37.pth.tar', 21.10400001525879)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-36.pth.tar', 21.044000014038087)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-34.pth.tar', 20.90200000488281)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-32.pth.tar', 20.04400002319336)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-33.pth.tar', 19.824000014648437)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-31.pth.tar', 19.558000015258788)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-30.pth.tar', 18.748000009155273)

Train: 40 [   0/78 (  1%)]  Loss: 4.24 (4.24)  Time: 1.670s,  613.35/s  (1.670s,  613.35/s)  LR: 3.338e-01  Data: 1.299 (1.299)
Train: 40 [  50/78 ( 65%)]  Loss: 4.50 (4.41)  Time: 0.401s, 2555.70/s  (0.426s, 2402.41/s)  LR: 3.338e-01  Data: 0.027 (0.054)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.453 (1.453)  Loss:   4.068 ( 4.068)  Acc@1:  21.680 ( 21.680)  Acc@5:  45.703 ( 45.703)
Test: [  48/48]  Time: 0.088 (0.325)  Loss:   3.813 ( 4.070)  Acc@1:  25.825 ( 22.800)  Acc@5:  50.590 ( 44.802)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-40.pth.tar', 22.800000003051757)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-38.pth.tar', 22.49200001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-35.pth.tar', 22.491999981689453)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-39.pth.tar', 21.41800002685547)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-37.pth.tar', 21.10400001525879)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-36.pth.tar', 21.044000014038087)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-34.pth.tar', 20.90200000488281)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-32.pth.tar', 20.04400002319336)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-33.pth.tar', 19.824000014648437)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-31.pth.tar', 19.558000015258788)

Train: 41 [   0/78 (  1%)]  Loss: 4.26 (4.26)  Time: 1.809s,  565.98/s  (1.809s,  565.98/s)  LR: 3.307e-01  Data: 1.303 (1.303)
Train: 41 [  50/78 ( 65%)]  Loss: 4.46 (4.35)  Time: 0.408s, 2507.79/s  (0.432s, 2368.33/s)  LR: 3.307e-01  Data: 0.028 (0.052)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.426 (1.426)  Loss:   4.256 ( 4.256)  Acc@1:  21.582 ( 21.582)  Acc@5:  42.773 ( 42.773)
Test: [  48/48]  Time: 0.089 (0.326)  Loss:   4.034 ( 4.232)  Acc@1:  21.816 ( 21.356)  Acc@5:  45.519 ( 42.840)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-40.pth.tar', 22.800000003051757)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-38.pth.tar', 22.49200001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-35.pth.tar', 22.491999981689453)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-39.pth.tar', 21.41800002685547)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-41.pth.tar', 21.355999974365233)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-37.pth.tar', 21.10400001525879)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-36.pth.tar', 21.044000014038087)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-34.pth.tar', 20.90200000488281)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-32.pth.tar', 20.04400002319336)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-33.pth.tar', 19.824000014648437)

Train: 42 [   0/78 (  1%)]  Loss: 4.15 (4.15)  Time: 1.867s,  548.53/s  (1.867s,  548.53/s)  LR: 3.275e-01  Data: 1.493 (1.493)
Train: 42 [  50/78 ( 65%)]  Loss: 4.33 (4.29)  Time: 0.413s, 2479.94/s  (0.437s, 2345.58/s)  LR: 3.275e-01  Data: 0.034 (0.057)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.409 (1.409)  Loss:   3.971 ( 3.971)  Acc@1:  24.512 ( 24.512)  Acc@5:  46.875 ( 46.875)
Test: [  48/48]  Time: 0.089 (0.322)  Loss:   3.797 ( 4.019)  Acc@1:  27.358 ( 23.596)  Acc@5:  51.297 ( 45.874)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-42.pth.tar', 23.595999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-40.pth.tar', 22.800000003051757)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-38.pth.tar', 22.49200001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-35.pth.tar', 22.491999981689453)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-39.pth.tar', 21.41800002685547)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-41.pth.tar', 21.355999974365233)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-37.pth.tar', 21.10400001525879)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-36.pth.tar', 21.044000014038087)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-34.pth.tar', 20.90200000488281)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-32.pth.tar', 20.04400002319336)

Train: 43 [   0/78 (  1%)]  Loss: 4.14 (4.14)  Time: 1.753s,  584.23/s  (1.753s,  584.23/s)  LR: 3.242e-01  Data: 1.381 (1.381)
Train: 43 [  50/78 ( 65%)]  Loss: 4.30 (4.26)  Time: 0.408s, 2507.23/s  (0.436s, 2348.30/s)  LR: 3.242e-01  Data: 0.028 (0.054)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.426 (1.426)  Loss:   4.027 ( 4.027)  Acc@1:  24.609 ( 24.609)  Acc@5:  46.094 ( 46.094)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   3.843 ( 4.043)  Acc@1:  27.476 ( 23.366)  Acc@5:  48.349 ( 45.558)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-42.pth.tar', 23.595999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-43.pth.tar', 23.36599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-40.pth.tar', 22.800000003051757)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-38.pth.tar', 22.49200001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-35.pth.tar', 22.491999981689453)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-39.pth.tar', 21.41800002685547)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-41.pth.tar', 21.355999974365233)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-37.pth.tar', 21.10400001525879)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-36.pth.tar', 21.044000014038087)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-34.pth.tar', 20.90200000488281)

Train: 44 [   0/78 (  1%)]  Loss: 4.09 (4.09)  Time: 1.567s,  653.52/s  (1.567s,  653.52/s)  LR: 3.209e-01  Data: 1.195 (1.195)
Train: 44 [  50/78 ( 65%)]  Loss: 4.09 (4.20)  Time: 0.407s, 2516.00/s  (0.428s, 2395.11/s)  LR: 3.209e-01  Data: 0.027 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.415 (1.415)  Loss:   4.326 ( 4.326)  Acc@1:  22.070 ( 22.070)  Acc@5:  41.113 ( 41.113)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   4.048 ( 4.307)  Acc@1:  25.118 ( 20.670)  Acc@5:  45.755 ( 41.508)
Train: 45 [   0/78 (  1%)]  Loss: 4.19 (4.19)  Time: 1.551s,  660.16/s  (1.551s,  660.16/s)  LR: 3.176e-01  Data: 1.179 (1.179)
Train: 45 [  50/78 ( 65%)]  Loss: 4.21 (4.17)  Time: 0.408s, 2507.00/s  (0.435s, 2352.38/s)  LR: 3.176e-01  Data: 0.028 (0.054)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.424 (1.424)  Loss:   4.101 ( 4.101)  Acc@1:  23.926 ( 23.926)  Acc@5:  44.727 ( 44.727)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   3.925 ( 4.108)  Acc@1:  25.708 ( 23.202)  Acc@5:  48.939 ( 44.878)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-42.pth.tar', 23.595999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-43.pth.tar', 23.36599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-45.pth.tar', 23.202000048828126)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-40.pth.tar', 22.800000003051757)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-38.pth.tar', 22.49200001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-35.pth.tar', 22.491999981689453)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-39.pth.tar', 21.41800002685547)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-41.pth.tar', 21.355999974365233)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-37.pth.tar', 21.10400001525879)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-36.pth.tar', 21.044000014038087)

Train: 46 [   0/78 (  1%)]  Loss: 3.99 (3.99)  Time: 1.722s,  594.72/s  (1.722s,  594.72/s)  LR: 3.141e-01  Data: 1.166 (1.166)
Train: 46 [  50/78 ( 65%)]  Loss: 4.23 (4.11)  Time: 0.400s, 2560.07/s  (0.425s, 2407.00/s)  LR: 3.141e-01  Data: 0.028 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.422 (1.422)  Loss:   4.076 ( 4.076)  Acc@1:  24.512 ( 24.512)  Acc@5:  46.777 ( 46.777)
Test: [  48/48]  Time: 0.087 (0.324)  Loss:   3.793 ( 4.009)  Acc@1:  25.943 ( 23.922)  Acc@5:  51.651 ( 46.490)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-46.pth.tar', 23.922000021972657)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-42.pth.tar', 23.595999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-43.pth.tar', 23.36599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-45.pth.tar', 23.202000048828126)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-40.pth.tar', 22.800000003051757)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-38.pth.tar', 22.49200001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-35.pth.tar', 22.491999981689453)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-39.pth.tar', 21.41800002685547)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-41.pth.tar', 21.355999974365233)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-37.pth.tar', 21.10400001525879)

Train: 47 [   0/78 (  1%)]  Loss: 4.09 (4.09)  Time: 1.696s,  603.89/s  (1.696s,  603.89/s)  LR: 3.107e-01  Data: 1.186 (1.186)
Train: 47 [  50/78 ( 65%)]  Loss: 4.09 (4.06)  Time: 0.405s, 2529.77/s  (0.428s, 2393.85/s)  LR: 3.107e-01  Data: 0.028 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.417 (1.417)  Loss:   4.275 ( 4.275)  Acc@1:  22.461 ( 22.461)  Acc@5:  44.238 ( 44.238)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   3.991 ( 4.240)  Acc@1:  25.118 ( 22.018)  Acc@5:  47.877 ( 43.008)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-46.pth.tar', 23.922000021972657)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-42.pth.tar', 23.595999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-43.pth.tar', 23.36599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-45.pth.tar', 23.202000048828126)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-40.pth.tar', 22.800000003051757)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-38.pth.tar', 22.49200001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-35.pth.tar', 22.491999981689453)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-47.pth.tar', 22.018000018920898)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-39.pth.tar', 21.41800002685547)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-41.pth.tar', 21.355999974365233)

Train: 48 [   0/78 (  1%)]  Loss: 3.85 (3.85)  Time: 1.489s,  687.67/s  (1.489s,  687.67/s)  LR: 3.072e-01  Data: 1.108 (1.108)
Train: 48 [  50/78 ( 65%)]  Loss: 4.06 (4.01)  Time: 0.404s, 2535.82/s  (0.429s, 2384.21/s)  LR: 3.072e-01  Data: 0.027 (0.049)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.445 (1.445)  Loss:   4.085 ( 4.085)  Acc@1:  25.000 ( 25.000)  Acc@5:  46.191 ( 46.191)
Test: [  48/48]  Time: 0.086 (0.324)  Loss:   3.793 ( 4.040)  Acc@1:  27.358 ( 24.378)  Acc@5:  50.590 ( 46.562)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-46.pth.tar', 23.922000021972657)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-42.pth.tar', 23.595999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-43.pth.tar', 23.36599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-45.pth.tar', 23.202000048828126)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-40.pth.tar', 22.800000003051757)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-38.pth.tar', 22.49200001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-35.pth.tar', 22.491999981689453)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-47.pth.tar', 22.018000018920898)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-39.pth.tar', 21.41800002685547)

Train: 49 [   0/78 (  1%)]  Loss: 3.84 (3.84)  Time: 1.984s,  516.05/s  (1.984s,  516.05/s)  LR: 3.036e-01  Data: 1.623 (1.623)
Train: 49 [  50/78 ( 65%)]  Loss: 4.04 (3.96)  Time: 0.393s, 2608.78/s  (0.425s, 2408.63/s)  LR: 3.036e-01  Data: 0.027 (0.059)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.446 (1.446)  Loss:   4.065 ( 4.065)  Acc@1:  24.609 ( 24.609)  Acc@5:  47.168 ( 47.168)
Test: [  48/48]  Time: 0.087 (0.325)  Loss:   3.832 ( 4.075)  Acc@1:  28.302 ( 24.126)  Acc@5:  50.590 ( 46.202)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-49.pth.tar', 24.12600001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-46.pth.tar', 23.922000021972657)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-42.pth.tar', 23.595999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-43.pth.tar', 23.36599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-45.pth.tar', 23.202000048828126)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-40.pth.tar', 22.800000003051757)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-38.pth.tar', 22.49200001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-35.pth.tar', 22.491999981689453)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-47.pth.tar', 22.018000018920898)

Train: 50 [   0/78 (  1%)]  Loss: 3.82 (3.82)  Time: 1.815s,  564.29/s  (1.815s,  564.29/s)  LR: 3.000e-01  Data: 1.200 (1.200)
Train: 50 [  50/78 ( 65%)]  Loss: 4.06 (3.91)  Time: 0.392s, 2610.14/s  (0.421s, 2433.37/s)  LR: 3.000e-01  Data: 0.026 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.423 (1.423)  Loss:   4.187 ( 4.187)  Acc@1:  24.023 ( 24.023)  Acc@5:  43.652 ( 43.652)
Test: [  48/48]  Time: 0.087 (0.322)  Loss:   3.902 ( 4.160)  Acc@1:  25.943 ( 23.142)  Acc@5:  48.703 ( 44.912)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-49.pth.tar', 24.12600001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-46.pth.tar', 23.922000021972657)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-42.pth.tar', 23.595999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-43.pth.tar', 23.36599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-45.pth.tar', 23.202000048828126)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-50.pth.tar', 23.142000021972656)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-40.pth.tar', 22.800000003051757)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-38.pth.tar', 22.49200001647949)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-35.pth.tar', 22.491999981689453)

Train: 51 [   0/78 (  1%)]  Loss: 3.77 (3.77)  Time: 1.632s,  627.50/s  (1.632s,  627.50/s)  LR: 2.964e-01  Data: 1.268 (1.268)
Train: 51 [  50/78 ( 65%)]  Loss: 3.98 (3.85)  Time: 0.398s, 2570.11/s  (0.422s, 2429.17/s)  LR: 2.964e-01  Data: 0.027 (0.052)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.417 (1.417)  Loss:   4.279 ( 4.279)  Acc@1:  24.414 ( 24.414)  Acc@5:  45.215 ( 45.215)
Test: [  48/48]  Time: 0.087 (0.323)  Loss:   3.968 ( 4.191)  Acc@1:  25.236 ( 23.636)  Acc@5:  48.349 ( 44.688)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-49.pth.tar', 24.12600001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-46.pth.tar', 23.922000021972657)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-51.pth.tar', 23.636000005493162)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-42.pth.tar', 23.595999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-43.pth.tar', 23.36599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-45.pth.tar', 23.202000048828126)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-50.pth.tar', 23.142000021972656)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-40.pth.tar', 22.800000003051757)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-38.pth.tar', 22.49200001647949)

Train: 52 [   0/78 (  1%)]  Loss: 3.83 (3.83)  Time: 1.587s,  645.11/s  (1.587s,  645.11/s)  LR: 2.927e-01  Data: 1.186 (1.186)
Train: 52 [  50/78 ( 65%)]  Loss: 3.84 (3.80)  Time: 0.406s, 2522.01/s  (0.428s, 2393.27/s)  LR: 2.927e-01  Data: 0.027 (0.052)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.411 (1.411)  Loss:   4.111 ( 4.111)  Acc@1:  24.609 ( 24.609)  Acc@5:  47.461 ( 47.461)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   3.797 ( 4.081)  Acc@1:  26.887 ( 24.716)  Acc@5:  50.000 ( 46.574)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-49.pth.tar', 24.12600001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-46.pth.tar', 23.922000021972657)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-51.pth.tar', 23.636000005493162)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-42.pth.tar', 23.595999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-43.pth.tar', 23.36599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-45.pth.tar', 23.202000048828126)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-50.pth.tar', 23.142000021972656)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-40.pth.tar', 22.800000003051757)

Train: 53 [   0/78 (  1%)]  Loss: 3.53 (3.53)  Time: 1.723s,  594.42/s  (1.723s,  594.42/s)  LR: 2.889e-01  Data: 1.348 (1.348)
Train: 53 [  50/78 ( 65%)]  Loss: 3.77 (3.75)  Time: 0.406s, 2523.32/s  (0.435s, 2355.97/s)  LR: 2.889e-01  Data: 0.028 (0.053)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.430 (1.430)  Loss:   4.181 ( 4.181)  Acc@1:  22.754 ( 22.754)  Acc@5:  44.727 ( 44.727)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.022 ( 4.179)  Acc@1:  24.410 ( 23.462)  Acc@5:  46.816 ( 45.026)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-49.pth.tar', 24.12600001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-46.pth.tar', 23.922000021972657)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-51.pth.tar', 23.636000005493162)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-42.pth.tar', 23.595999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-53.pth.tar', 23.462000002441407)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-43.pth.tar', 23.36599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-45.pth.tar', 23.202000048828126)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-50.pth.tar', 23.142000021972656)

Train: 54 [   0/78 (  1%)]  Loss: 3.72 (3.72)  Time: 1.787s,  572.93/s  (1.787s,  572.93/s)  LR: 2.852e-01  Data: 1.201 (1.201)
Train: 54 [  50/78 ( 65%)]  Loss: 3.81 (3.72)  Time: 0.403s, 2538.66/s  (0.428s, 2390.76/s)  LR: 2.852e-01  Data: 0.029 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.437 (1.437)  Loss:   4.262 ( 4.262)  Acc@1:  23.926 ( 23.926)  Acc@5:  46.094 ( 46.094)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.003 ( 4.193)  Acc@1:  23.939 ( 23.942)  Acc@5:  47.877 ( 45.300)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-49.pth.tar', 24.12600001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-54.pth.tar', 23.941999991455077)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-46.pth.tar', 23.922000021972657)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-51.pth.tar', 23.636000005493162)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-42.pth.tar', 23.595999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-53.pth.tar', 23.462000002441407)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-43.pth.tar', 23.36599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-45.pth.tar', 23.202000048828126)

Train: 55 [   0/78 (  1%)]  Loss: 3.49 (3.49)  Time: 1.649s,  620.84/s  (1.649s,  620.84/s)  LR: 2.813e-01  Data: 1.277 (1.277)
Train: 55 [  50/78 ( 65%)]  Loss: 3.76 (3.67)  Time: 0.406s, 2524.48/s  (0.433s, 2364.15/s)  LR: 2.813e-01  Data: 0.027 (0.052)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.424 (1.424)  Loss:   4.227 ( 4.227)  Acc@1:  24.121 ( 24.121)  Acc@5:  46.094 ( 46.094)
Test: [  48/48]  Time: 0.088 (0.325)  Loss:   3.983 ( 4.223)  Acc@1:  24.764 ( 23.128)  Acc@5:  48.231 ( 44.282)
Train: 56 [   0/78 (  1%)]  Loss: 3.48 (3.48)  Time: 1.811s,  565.48/s  (1.811s,  565.48/s)  LR: 2.775e-01  Data: 1.442 (1.442)
Train: 56 [  50/78 ( 65%)]  Loss: 3.68 (3.61)  Time: 0.400s, 2560.24/s  (0.428s, 2393.48/s)  LR: 2.775e-01  Data: 0.027 (0.055)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.411 (1.411)  Loss:   4.288 ( 4.288)  Acc@1:  24.219 ( 24.219)  Acc@5:  42.578 ( 42.578)
Test: [  48/48]  Time: 0.088 (0.322)  Loss:   4.003 ( 4.233)  Acc@1:  26.533 ( 23.772)  Acc@5:  48.467 ( 44.722)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-49.pth.tar', 24.12600001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-54.pth.tar', 23.941999991455077)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-46.pth.tar', 23.922000021972657)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-56.pth.tar', 23.77200001953125)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-51.pth.tar', 23.636000005493162)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-42.pth.tar', 23.595999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-53.pth.tar', 23.462000002441407)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-43.pth.tar', 23.36599997680664)

Train: 57 [   0/78 (  1%)]  Loss: 3.37 (3.37)  Time: 1.517s,  674.95/s  (1.517s,  674.95/s)  LR: 2.736e-01  Data: 1.108 (1.108)
Train: 57 [  50/78 ( 65%)]  Loss: 3.75 (3.57)  Time: 0.408s, 2508.49/s  (0.428s, 2389.95/s)  LR: 2.736e-01  Data: 0.030 (0.049)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.414 (1.414)  Loss:   4.294 ( 4.294)  Acc@1:  24.414 ( 24.414)  Acc@5:  43.359 ( 43.359)
Test: [  48/48]  Time: 0.087 (0.323)  Loss:   4.062 ( 4.283)  Acc@1:  26.179 ( 23.500)  Acc@5:  46.934 ( 43.928)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-49.pth.tar', 24.12600001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-54.pth.tar', 23.941999991455077)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-46.pth.tar', 23.922000021972657)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-56.pth.tar', 23.77200001953125)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-51.pth.tar', 23.636000005493162)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-42.pth.tar', 23.595999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-57.pth.tar', 23.50000002746582)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-53.pth.tar', 23.462000002441407)

Train: 58 [   0/78 (  1%)]  Loss: 3.46 (3.46)  Time: 1.619s,  632.33/s  (1.619s,  632.33/s)  LR: 2.697e-01  Data: 1.252 (1.252)
Train: 58 [  50/78 ( 65%)]  Loss: 3.64 (3.51)  Time: 0.397s, 2582.05/s  (0.422s, 2429.19/s)  LR: 2.697e-01  Data: 0.027 (0.052)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.425 (1.425)  Loss:   4.189 ( 4.189)  Acc@1:  25.098 ( 25.098)  Acc@5:  45.996 ( 45.996)
Test: [  48/48]  Time: 0.087 (0.322)  Loss:   3.954 ( 4.242)  Acc@1:  26.769 ( 23.962)  Acc@5:  47.288 ( 44.998)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-49.pth.tar', 24.12600001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-58.pth.tar', 23.961999992675782)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-54.pth.tar', 23.941999991455077)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-46.pth.tar', 23.922000021972657)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-56.pth.tar', 23.77200001953125)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-51.pth.tar', 23.636000005493162)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-42.pth.tar', 23.595999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-57.pth.tar', 23.50000002746582)

Train: 59 [   0/78 (  1%)]  Loss: 3.32 (3.32)  Time: 1.617s,  633.45/s  (1.617s,  633.45/s)  LR: 2.658e-01  Data: 1.253 (1.253)
Train: 59 [  50/78 ( 65%)]  Loss: 3.58 (3.47)  Time: 0.398s, 2573.64/s  (0.421s, 2434.37/s)  LR: 2.658e-01  Data: 0.028 (0.052)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.428 (1.428)  Loss:   4.306 ( 4.306)  Acc@1:  23.828 ( 23.828)  Acc@5:  43.555 ( 43.555)
Test: [  48/48]  Time: 0.087 (0.323)  Loss:   4.087 ( 4.318)  Acc@1:  27.358 ( 23.314)  Acc@5:  48.349 ( 43.928)
Train: 60 [   0/78 (  1%)]  Loss: 3.30 (3.30)  Time: 1.842s,  555.95/s  (1.842s,  555.95/s)  LR: 2.618e-01  Data: 1.192 (1.192)
Train: 60 [  50/78 ( 65%)]  Loss: 3.46 (3.41)  Time: 0.409s, 2505.35/s  (0.430s, 2379.90/s)  LR: 2.618e-01  Data: 0.032 (0.051)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.424 (1.424)  Loss:   4.314 ( 4.314)  Acc@1:  25.098 ( 25.098)  Acc@5:  46.094 ( 46.094)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.077 ( 4.273)  Acc@1:  23.113 ( 23.576)  Acc@5:  46.816 ( 44.794)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-49.pth.tar', 24.12600001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-58.pth.tar', 23.961999992675782)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-54.pth.tar', 23.941999991455077)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-46.pth.tar', 23.922000021972657)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-56.pth.tar', 23.77200001953125)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-51.pth.tar', 23.636000005493162)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-42.pth.tar', 23.595999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-60.pth.tar', 23.57599998840332)

Train: 61 [   0/78 (  1%)]  Loss: 3.27 (3.27)  Time: 1.645s,  622.44/s  (1.645s,  622.44/s)  LR: 2.578e-01  Data: 1.255 (1.255)
Train: 61 [  50/78 ( 65%)]  Loss: 3.40 (3.37)  Time: 0.401s, 2552.17/s  (0.429s, 2387.37/s)  LR: 2.578e-01  Data: 0.027 (0.051)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.448 (1.448)  Loss:   4.330 ( 4.330)  Acc@1:  23.828 ( 23.828)  Acc@5:  44.336 ( 44.336)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   4.079 ( 4.320)  Acc@1:  25.118 ( 23.514)  Acc@5:  48.821 ( 44.038)
Train: 62 [   0/78 (  1%)]  Loss: 3.18 (3.18)  Time: 1.817s,  563.60/s  (1.817s,  563.60/s)  LR: 2.538e-01  Data: 1.448 (1.448)
Train: 62 [  50/78 ( 65%)]  Loss: 3.42 (3.32)  Time: 0.400s, 2561.73/s  (0.427s, 2396.39/s)  LR: 2.538e-01  Data: 0.027 (0.055)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.428 (1.428)  Loss:   4.281 ( 4.281)  Acc@1:  25.488 ( 25.488)  Acc@5:  45.801 ( 45.801)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.061 ( 4.339)  Acc@1:  26.415 ( 24.196)  Acc@5:  48.349 ( 44.478)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-62.pth.tar', 24.19600000061035)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-49.pth.tar', 24.12600001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-58.pth.tar', 23.961999992675782)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-54.pth.tar', 23.941999991455077)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-46.pth.tar', 23.922000021972657)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-56.pth.tar', 23.77200001953125)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-51.pth.tar', 23.636000005493162)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-42.pth.tar', 23.595999990234375)

Train: 63 [   0/78 (  1%)]  Loss: 3.11 (3.11)  Time: 1.444s,  709.28/s  (1.444s,  709.28/s)  LR: 2.497e-01  Data: 1.072 (1.072)
Train: 63 [  50/78 ( 65%)]  Loss: 3.40 (3.28)  Time: 0.407s, 2518.00/s  (0.427s, 2397.16/s)  LR: 2.497e-01  Data: 0.028 (0.048)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.417 (1.417)  Loss:   4.331 ( 4.331)  Acc@1:  25.000 ( 25.000)  Acc@5:  44.922 ( 44.922)
Test: [  48/48]  Time: 0.089 (0.323)  Loss:   4.133 ( 4.426)  Acc@1:  25.118 ( 23.274)  Acc@5:  46.934 ( 43.404)
Train: 64 [   0/78 (  1%)]  Loss: 3.12 (3.12)  Time: 1.862s,  549.85/s  (1.862s,  549.85/s)  LR: 2.457e-01  Data: 1.209 (1.209)
Train: 64 [  50/78 ( 65%)]  Loss: 3.42 (3.23)  Time: 0.405s, 2527.55/s  (0.435s, 2353.50/s)  LR: 2.457e-01  Data: 0.027 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.422 (1.422)  Loss:   4.339 ( 4.339)  Acc@1:  24.512 ( 24.512)  Acc@5:  44.629 ( 44.629)
Test: [  48/48]  Time: 0.088 (0.325)  Loss:   4.104 ( 4.345)  Acc@1:  26.297 ( 24.266)  Acc@5:  46.934 ( 44.234)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-64.pth.tar', 24.266000014038084)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-62.pth.tar', 24.19600000061035)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-49.pth.tar', 24.12600001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-58.pth.tar', 23.961999992675782)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-54.pth.tar', 23.941999991455077)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-46.pth.tar', 23.922000021972657)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-56.pth.tar', 23.77200001953125)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-51.pth.tar', 23.636000005493162)

Train: 65 [   0/78 (  1%)]  Loss: 3.12 (3.12)  Time: 1.720s,  595.44/s  (1.720s,  595.44/s)  LR: 2.416e-01  Data: 1.353 (1.353)
Train: 65 [  50/78 ( 65%)]  Loss: 3.32 (3.19)  Time: 0.401s, 2554.07/s  (0.425s, 2409.53/s)  LR: 2.416e-01  Data: 0.028 (0.054)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.416 (1.416)  Loss:   4.493 ( 4.493)  Acc@1:  23.828 ( 23.828)  Acc@5:  44.531 ( 44.531)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.198 ( 4.471)  Acc@1:  24.882 ( 23.200)  Acc@5:  45.283 ( 42.754)
Train: 66 [   0/78 (  1%)]  Loss: 3.12 (3.12)  Time: 1.939s,  528.19/s  (1.939s,  528.19/s)  LR: 2.375e-01  Data: 1.570 (1.570)
Train: 66 [  50/78 ( 65%)]  Loss: 3.20 (3.15)  Time: 0.404s, 2535.62/s  (0.431s, 2376.54/s)  LR: 2.375e-01  Data: 0.027 (0.057)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.449 (1.449)  Loss:   4.296 ( 4.296)  Acc@1:  25.391 ( 25.391)  Acc@5:  46.289 ( 46.289)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   4.032 ( 4.314)  Acc@1:  26.297 ( 24.654)  Acc@5:  48.231 ( 45.090)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-66.pth.tar', 24.65400004638672)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-64.pth.tar', 24.266000014038084)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-62.pth.tar', 24.19600000061035)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-49.pth.tar', 24.12600001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-58.pth.tar', 23.961999992675782)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-54.pth.tar', 23.941999991455077)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-46.pth.tar', 23.922000021972657)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-56.pth.tar', 23.77200001953125)

Train: 67 [   0/78 (  1%)]  Loss: 2.92 (2.92)  Time: 1.694s,  604.43/s  (1.694s,  604.43/s)  LR: 2.334e-01  Data: 1.189 (1.189)
Train: 67 [  50/78 ( 65%)]  Loss: 3.21 (3.09)  Time: 0.405s, 2528.63/s  (0.432s, 2371.76/s)  LR: 2.334e-01  Data: 0.028 (0.051)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.411 (1.411)  Loss:   4.492 ( 4.492)  Acc@1:  23.242 ( 23.242)  Acc@5:  44.531 ( 44.531)
Test: [  48/48]  Time: 0.088 (0.322)  Loss:   4.217 ( 4.455)  Acc@1:  25.825 ( 23.544)  Acc@5:  45.047 ( 43.684)
Train: 68 [   0/78 (  1%)]  Loss: 2.97 (2.97)  Time: 1.526s,  671.23/s  (1.526s,  671.23/s)  LR: 2.292e-01  Data: 1.154 (1.154)
Train: 68 [  50/78 ( 65%)]  Loss: 3.07 (3.05)  Time: 0.405s, 2525.88/s  (0.429s, 2385.44/s)  LR: 2.292e-01  Data: 0.027 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.422 (1.422)  Loss:   4.429 ( 4.429)  Acc@1:  26.172 ( 26.172)  Acc@5:  44.336 ( 44.336)
Test: [  48/48]  Time: 0.087 (0.322)  Loss:   4.153 ( 4.396)  Acc@1:  25.354 ( 24.478)  Acc@5:  46.816 ( 44.558)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-66.pth.tar', 24.65400004638672)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-68.pth.tar', 24.47799999206543)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-64.pth.tar', 24.266000014038084)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-62.pth.tar', 24.19600000061035)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-49.pth.tar', 24.12600001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-58.pth.tar', 23.961999992675782)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-54.pth.tar', 23.941999991455077)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-46.pth.tar', 23.922000021972657)

Train: 69 [   0/78 (  1%)]  Loss: 2.94 (2.94)  Time: 1.539s,  665.18/s  (1.539s,  665.18/s)  LR: 2.251e-01  Data: 1.174 (1.174)
Train: 69 [  50/78 ( 65%)]  Loss: 3.16 (3.02)  Time: 0.396s, 2588.98/s  (0.421s, 2432.21/s)  LR: 2.251e-01  Data: 0.027 (0.052)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.473 (1.473)  Loss:   4.621 ( 4.621)  Acc@1:  21.484 ( 21.484)  Acc@5:  41.211 ( 41.211)
Test: [  48/48]  Time: 0.087 (0.324)  Loss:   4.377 ( 4.568)  Acc@1:  24.882 ( 22.122)  Acc@5:  43.514 ( 41.124)
Train: 70 [   0/78 (  1%)]  Loss: 2.89 (2.89)  Time: 1.555s,  658.39/s  (1.555s,  658.39/s)  LR: 2.209e-01  Data: 1.188 (1.188)
Train: 70 [  50/78 ( 65%)]  Loss: 3.01 (2.97)  Time: 0.401s, 2554.77/s  (0.423s, 2418.45/s)  LR: 2.209e-01  Data: 0.027 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.415 (1.415)  Loss:   4.654 ( 4.654)  Acc@1:  22.266 ( 22.266)  Acc@5:  41.699 ( 41.699)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   4.332 ( 4.561)  Acc@1:  24.057 ( 22.754)  Acc@5:  45.637 ( 42.086)
Train: 71 [   0/78 (  1%)]  Loss: 2.86 (2.86)  Time: 1.664s,  615.49/s  (1.664s,  615.49/s)  LR: 2.167e-01  Data: 1.288 (1.288)
Train: 71 [  50/78 ( 65%)]  Loss: 2.94 (2.93)  Time: 0.408s, 2511.68/s  (0.432s, 2371.47/s)  LR: 2.167e-01  Data: 0.029 (0.052)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.414 (1.414)  Loss:   4.546 ( 4.546)  Acc@1:  24.512 ( 24.512)  Acc@5:  43.945 ( 43.945)
Test: [  48/48]  Time: 0.088 (0.322)  Loss:   4.287 ( 4.526)  Acc@1:  25.354 ( 23.478)  Acc@5:  44.458 ( 43.016)
Train: 72 [   0/78 (  1%)]  Loss: 2.81 (2.81)  Time: 1.686s,  607.26/s  (1.686s,  607.26/s)  LR: 2.126e-01  Data: 1.312 (1.312)
Train: 72 [  50/78 ( 65%)]  Loss: 2.93 (2.90)  Time: 0.410s, 2498.51/s  (0.434s, 2357.62/s)  LR: 2.126e-01  Data: 0.027 (0.052)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.425 (1.425)  Loss:   4.554 ( 4.554)  Acc@1:  21.973 ( 21.973)  Acc@5:  43.945 ( 43.945)
Test: [  48/48]  Time: 0.089 (0.322)  Loss:   4.243 ( 4.527)  Acc@1:  25.000 ( 23.396)  Acc@5:  46.580 ( 43.112)
Train: 73 [   0/78 (  1%)]  Loss: 2.75 (2.75)  Time: 1.490s,  687.21/s  (1.490s,  687.21/s)  LR: 2.084e-01  Data: 1.118 (1.118)
Train: 73 [  50/78 ( 65%)]  Loss: 2.90 (2.85)  Time: 0.407s, 2515.10/s  (0.435s, 2352.39/s)  LR: 2.084e-01  Data: 0.027 (0.055)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.426 (1.426)  Loss:   4.523 ( 4.523)  Acc@1:  23.438 ( 23.438)  Acc@5:  44.043 ( 44.043)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   4.283 ( 4.531)  Acc@1:  25.118 ( 23.468)  Acc@5:  46.108 ( 42.766)
Train: 74 [   0/78 (  1%)]  Loss: 2.76 (2.76)  Time: 1.609s,  636.41/s  (1.609s,  636.41/s)  LR: 2.042e-01  Data: 1.089 (1.089)
Train: 74 [  50/78 ( 65%)]  Loss: 2.86 (2.82)  Time: 0.409s, 2501.96/s  (0.434s, 2358.62/s)  LR: 2.042e-01  Data: 0.027 (0.048)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.408 (1.408)  Loss:   4.610 ( 4.610)  Acc@1:  22.949 ( 22.949)  Acc@5:  42.676 ( 42.676)
Test: [  48/48]  Time: 0.087 (0.323)  Loss:   4.314 ( 4.604)  Acc@1:  25.118 ( 22.878)  Acc@5:  47.406 ( 41.950)
Train: 75 [   0/78 (  1%)]  Loss: 2.71 (2.71)  Time: 1.485s,  689.52/s  (1.485s,  689.52/s)  LR: 2.000e-01  Data: 1.119 (1.119)
Train: 75 [  50/78 ( 65%)]  Loss: 2.91 (2.78)  Time: 0.398s, 2573.66/s  (0.420s, 2440.79/s)  LR: 2.000e-01  Data: 0.027 (0.049)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.412 (1.412)  Loss:   4.474 ( 4.474)  Acc@1:  24.805 ( 24.805)  Acc@5:  44.727 ( 44.727)
Test: [  48/48]  Time: 0.087 (0.324)  Loss:   4.326 ( 4.508)  Acc@1:  25.000 ( 23.682)  Acc@5:  45.637 ( 43.568)
Train: 76 [   0/78 (  1%)]  Loss: 2.73 (2.73)  Time: 1.627s,  629.37/s  (1.627s,  629.37/s)  LR: 1.958e-01  Data: 1.258 (1.258)
Train: 76 [  50/78 ( 65%)]  Loss: 2.85 (2.75)  Time: 0.404s, 2531.63/s  (0.426s, 2402.52/s)  LR: 1.958e-01  Data: 0.029 (0.053)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.409 (1.409)  Loss:   4.557 ( 4.557)  Acc@1:  25.586 ( 25.586)  Acc@5:  45.020 ( 45.020)
Test: [  48/48]  Time: 0.088 (0.322)  Loss:   4.316 ( 4.507)  Acc@1:  24.764 ( 24.250)  Acc@5:  47.759 ( 43.694)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-66.pth.tar', 24.65400004638672)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-68.pth.tar', 24.47799999206543)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-64.pth.tar', 24.266000014038084)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-76.pth.tar', 24.249999994506837)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-62.pth.tar', 24.19600000061035)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-49.pth.tar', 24.12600001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-58.pth.tar', 23.961999992675782)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-54.pth.tar', 23.941999991455077)

Train: 77 [   0/78 (  1%)]  Loss: 2.65 (2.65)  Time: 1.806s,  566.89/s  (1.806s,  566.89/s)  LR: 1.916e-01  Data: 1.432 (1.432)
Train: 77 [  50/78 ( 65%)]  Loss: 2.84 (2.73)  Time: 0.404s, 2534.24/s  (0.435s, 2356.10/s)  LR: 1.916e-01  Data: 0.027 (0.055)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.410 (1.410)  Loss:   4.675 ( 4.675)  Acc@1:  24.512 ( 24.512)  Acc@5:  43.652 ( 43.652)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.283 ( 4.543)  Acc@1:  26.415 ( 23.912)  Acc@5:  46.344 ( 43.210)
Train: 78 [   0/78 (  1%)]  Loss: 2.64 (2.64)  Time: 1.707s,  599.81/s  (1.707s,  599.81/s)  LR: 1.874e-01  Data: 1.155 (1.155)
Train: 78 [  50/78 ( 65%)]  Loss: 2.59 (2.68)  Time: 0.403s, 2540.35/s  (0.427s, 2400.49/s)  LR: 1.874e-01  Data: 0.028 (0.049)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.491 (1.491)  Loss:   4.459 ( 4.459)  Acc@1:  24.219 ( 24.219)  Acc@5:  45.801 ( 45.801)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.252 ( 4.479)  Acc@1:  27.830 ( 24.056)  Acc@5:  46.580 ( 43.344)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-66.pth.tar', 24.65400004638672)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-68.pth.tar', 24.47799999206543)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-64.pth.tar', 24.266000014038084)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-76.pth.tar', 24.249999994506837)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-62.pth.tar', 24.19600000061035)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-49.pth.tar', 24.12600001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-78.pth.tar', 24.056000001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-58.pth.tar', 23.961999992675782)

Train: 79 [   0/78 (  1%)]  Loss: 2.64 (2.64)  Time: 1.768s,  579.02/s  (1.768s,  579.02/s)  LR: 1.833e-01  Data: 1.395 (1.395)
Train: 79 [  50/78 ( 65%)]  Loss: 2.71 (2.67)  Time: 0.408s, 2510.55/s  (0.435s, 2351.76/s)  LR: 1.833e-01  Data: 0.027 (0.054)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.612 (1.612)  Loss:   4.530 ( 4.530)  Acc@1:  24.512 ( 24.512)  Acc@5:  44.922 ( 44.922)
Test: [  48/48]  Time: 0.088 (0.328)  Loss:   4.287 ( 4.501)  Acc@1:  26.179 ( 24.210)  Acc@5:  45.165 ( 43.914)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-66.pth.tar', 24.65400004638672)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-68.pth.tar', 24.47799999206543)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-64.pth.tar', 24.266000014038084)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-76.pth.tar', 24.249999994506837)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-79.pth.tar', 24.209999995117187)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-62.pth.tar', 24.19600000061035)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-49.pth.tar', 24.12600001220703)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-78.pth.tar', 24.056000001220703)

Train: 80 [   0/78 (  1%)]  Loss: 2.57 (2.57)  Time: 1.666s,  614.57/s  (1.666s,  614.57/s)  LR: 1.791e-01  Data: 1.297 (1.297)
Train: 80 [  50/78 ( 65%)]  Loss: 2.64 (2.62)  Time: 0.403s, 2541.43/s  (0.426s, 2403.41/s)  LR: 1.791e-01  Data: 0.028 (0.053)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.418 (1.418)  Loss:   4.711 ( 4.711)  Acc@1:  22.461 ( 22.461)  Acc@5:  41.699 ( 41.699)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   4.563 ( 4.699)  Acc@1:  22.877 ( 22.668)  Acc@5:  42.099 ( 41.814)
Train: 81 [   0/78 (  1%)]  Loss: 2.45 (2.45)  Time: 1.578s,  648.73/s  (1.578s,  648.73/s)  LR: 1.749e-01  Data: 1.205 (1.205)
Train: 81 [  50/78 ( 65%)]  Loss: 2.59 (2.58)  Time: 0.405s, 2530.40/s  (0.433s, 2365.04/s)  LR: 1.749e-01  Data: 0.027 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.420 (1.420)  Loss:   4.592 ( 4.592)  Acc@1:  23.535 ( 23.535)  Acc@5:  44.043 ( 44.043)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.300 ( 4.566)  Acc@1:  24.882 ( 23.590)  Acc@5:  45.873 ( 42.830)
Train: 82 [   0/78 (  1%)]  Loss: 2.65 (2.65)  Time: 1.670s,  613.35/s  (1.670s,  613.35/s)  LR: 1.708e-01  Data: 1.303 (1.303)
Train: 82 [  50/78 ( 65%)]  Loss: 2.70 (2.56)  Time: 0.403s, 2540.05/s  (0.426s, 2402.69/s)  LR: 1.708e-01  Data: 0.028 (0.053)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.485 (1.485)  Loss:   4.701 ( 4.701)  Acc@1:  22.949 ( 22.949)  Acc@5:  41.895 ( 41.895)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.441 ( 4.704)  Acc@1:  24.882 ( 22.934)  Acc@5:  44.575 ( 41.558)
Train: 83 [   0/78 (  1%)]  Loss: 2.48 (2.48)  Time: 1.600s,  640.03/s  (1.600s,  640.03/s)  LR: 1.666e-01  Data: 1.057 (1.057)
Train: 83 [  50/78 ( 65%)]  Loss: 2.63 (2.53)  Time: 0.405s, 2525.72/s  (0.431s, 2376.69/s)  LR: 1.666e-01  Data: 0.026 (0.048)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.423 (1.423)  Loss:   4.630 ( 4.630)  Acc@1:  24.023 ( 24.023)  Acc@5:  44.141 ( 44.141)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.228 ( 4.540)  Acc@1:  25.708 ( 23.924)  Acc@5:  45.991 ( 43.100)
Train: 84 [   0/78 (  1%)]  Loss: 2.44 (2.44)  Time: 2.030s,  504.46/s  (2.030s,  504.46/s)  LR: 1.625e-01  Data: 1.289 (1.289)
Train: 84 [  50/78 ( 65%)]  Loss: 2.55 (2.51)  Time: 0.402s, 2544.60/s  (0.433s, 2365.63/s)  LR: 1.625e-01  Data: 0.026 (0.053)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.413 (1.413)  Loss:   4.705 ( 4.705)  Acc@1:  23.926 ( 23.926)  Acc@5:  42.383 ( 42.383)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   4.381 ( 4.642)  Acc@1:  24.410 ( 23.364)  Acc@5:  46.934 ( 42.646)
Train: 85 [   0/78 (  1%)]  Loss: 2.46 (2.46)  Time: 1.644s,  622.92/s  (1.644s,  622.92/s)  LR: 1.584e-01  Data: 1.272 (1.272)
Train: 85 [  50/78 ( 65%)]  Loss: 2.50 (2.50)  Time: 0.406s, 2519.85/s  (0.431s, 2374.04/s)  LR: 1.584e-01  Data: 0.027 (0.052)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.421 (1.421)  Loss:   4.659 ( 4.659)  Acc@1:  23.730 ( 23.730)  Acc@5:  43.359 ( 43.359)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   4.256 ( 4.551)  Acc@1:  25.000 ( 24.290)  Acc@5:  44.693 ( 43.376)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-66.pth.tar', 24.65400004638672)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-68.pth.tar', 24.47799999206543)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-85.pth.tar', 24.29)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-64.pth.tar', 24.266000014038084)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-76.pth.tar', 24.249999994506837)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-79.pth.tar', 24.209999995117187)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-62.pth.tar', 24.19600000061035)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-49.pth.tar', 24.12600001220703)

Train: 86 [   0/78 (  1%)]  Loss: 2.29 (2.29)  Time: 1.560s,  656.27/s  (1.560s,  656.27/s)  LR: 1.543e-01  Data: 1.193 (1.193)
Train: 86 [  50/78 ( 65%)]  Loss: 2.53 (2.47)  Time: 0.401s, 2551.62/s  (0.425s, 2408.32/s)  LR: 1.543e-01  Data: 0.027 (0.051)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.429 (1.429)  Loss:   4.738 ( 4.738)  Acc@1:  23.047 ( 23.047)  Acc@5:  42.188 ( 42.188)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   4.415 ( 4.690)  Acc@1:  23.585 ( 23.144)  Acc@5:  44.811 ( 41.814)
Train: 87 [   0/78 (  1%)]  Loss: 2.40 (2.40)  Time: 1.508s,  678.91/s  (1.508s,  678.91/s)  LR: 1.503e-01  Data: 1.139 (1.139)
Train: 87 [  50/78 ( 65%)]  Loss: 2.47 (2.43)  Time: 0.412s, 2487.71/s  (0.427s, 2399.73/s)  LR: 1.503e-01  Data: 0.032 (0.049)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.435 (1.435)  Loss:   4.566 ( 4.566)  Acc@1:  26.367 ( 26.367)  Acc@5:  44.141 ( 44.141)
Test: [  48/48]  Time: 0.088 (0.326)  Loss:   4.301 ( 4.568)  Acc@1:  26.297 ( 23.894)  Acc@5:  47.524 ( 42.766)
Train: 88 [   0/78 (  1%)]  Loss: 2.29 (2.29)  Time: 1.653s,  619.36/s  (1.653s,  619.36/s)  LR: 1.462e-01  Data: 1.281 (1.281)
Train: 88 [  50/78 ( 65%)]  Loss: 2.48 (2.41)  Time: 0.409s, 2504.08/s  (0.433s, 2366.43/s)  LR: 1.462e-01  Data: 0.029 (0.052)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.435 (1.435)  Loss:   4.652 ( 4.652)  Acc@1:  23.047 ( 23.047)  Acc@5:  44.727 ( 44.727)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   4.270 ( 4.570)  Acc@1:  26.651 ( 24.342)  Acc@5:  48.349 ( 43.446)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-66.pth.tar', 24.65400004638672)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-68.pth.tar', 24.47799999206543)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-88.pth.tar', 24.342000006103515)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-85.pth.tar', 24.29)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-64.pth.tar', 24.266000014038084)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-76.pth.tar', 24.249999994506837)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-79.pth.tar', 24.209999995117187)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-62.pth.tar', 24.19600000061035)

Train: 89 [   0/78 (  1%)]  Loss: 2.43 (2.43)  Time: 1.581s,  647.81/s  (1.581s,  647.81/s)  LR: 1.422e-01  Data: 1.208 (1.208)
Train: 89 [  50/78 ( 65%)]  Loss: 2.48 (2.39)  Time: 0.410s, 2500.49/s  (0.430s, 2380.78/s)  LR: 1.422e-01  Data: 0.027 (0.051)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.417 (1.417)  Loss:   4.667 ( 4.667)  Acc@1:  24.219 ( 24.219)  Acc@5:  41.797 ( 41.797)
Test: [  48/48]  Time: 0.088 (0.322)  Loss:   4.264 ( 4.557)  Acc@1:  26.651 ( 24.408)  Acc@5:  47.170 ( 43.236)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-66.pth.tar', 24.65400004638672)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-68.pth.tar', 24.47799999206543)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-89.pth.tar', 24.408000006103517)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-88.pth.tar', 24.342000006103515)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-85.pth.tar', 24.29)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-64.pth.tar', 24.266000014038084)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-76.pth.tar', 24.249999994506837)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-79.pth.tar', 24.209999995117187)

Train: 90 [   0/78 (  1%)]  Loss: 2.28 (2.28)  Time: 1.723s,  594.26/s  (1.723s,  594.26/s)  LR: 1.382e-01  Data: 1.350 (1.350)
Train: 90 [  50/78 ( 65%)]  Loss: 2.42 (2.37)  Time: 0.406s, 2519.19/s  (0.434s, 2359.75/s)  LR: 1.382e-01  Data: 0.027 (0.054)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.404 (1.404)  Loss:   4.541 ( 4.541)  Acc@1:  25.000 ( 25.000)  Acc@5:  45.312 ( 45.312)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   4.210 ( 4.529)  Acc@1:  28.302 ( 24.248)  Acc@5:  47.170 ( 43.422)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-66.pth.tar', 24.65400004638672)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-68.pth.tar', 24.47799999206543)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-89.pth.tar', 24.408000006103517)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-88.pth.tar', 24.342000006103515)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-85.pth.tar', 24.29)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-64.pth.tar', 24.266000014038084)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-76.pth.tar', 24.249999994506837)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-90.pth.tar', 24.248000012207033)

Train: 91 [   0/78 (  1%)]  Loss: 2.23 (2.23)  Time: 1.454s,  704.09/s  (1.454s,  704.09/s)  LR: 1.342e-01  Data: 1.083 (1.083)
Train: 91 [  50/78 ( 65%)]  Loss: 2.39 (2.35)  Time: 0.409s, 2500.79/s  (0.427s, 2400.58/s)  LR: 1.342e-01  Data: 0.029 (0.048)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.427 (1.427)  Loss:   4.543 ( 4.543)  Acc@1:  25.000 ( 25.000)  Acc@5:  44.043 ( 44.043)
Test: [  48/48]  Time: 0.087 (0.324)  Loss:   4.248 ( 4.567)  Acc@1:  27.476 ( 24.486)  Acc@5:  46.344 ( 43.094)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-66.pth.tar', 24.65400004638672)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-91.pth.tar', 24.486000009155273)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-68.pth.tar', 24.47799999206543)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-89.pth.tar', 24.408000006103517)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-88.pth.tar', 24.342000006103515)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-85.pth.tar', 24.29)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-64.pth.tar', 24.266000014038084)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-76.pth.tar', 24.249999994506837)

Train: 92 [   0/78 (  1%)]  Loss: 2.18 (2.18)  Time: 1.557s,  657.76/s  (1.557s,  657.76/s)  LR: 1.303e-01  Data: 1.126 (1.126)
Train: 92 [  50/78 ( 65%)]  Loss: 2.35 (2.32)  Time: 0.395s, 2590.93/s  (0.418s, 2447.87/s)  LR: 1.303e-01  Data: 0.028 (0.049)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.407 (1.407)  Loss:   4.650 ( 4.650)  Acc@1:  24.219 ( 24.219)  Acc@5:  43.164 ( 43.164)
Test: [  48/48]  Time: 0.086 (0.322)  Loss:   4.345 ( 4.633)  Acc@1:  26.533 ( 23.516)  Acc@5:  45.991 ( 42.230)
Train: 93 [   0/78 (  1%)]  Loss: 2.21 (2.21)  Time: 1.736s,  589.70/s  (1.736s,  589.70/s)  LR: 1.264e-01  Data: 1.376 (1.376)
Train: 93 [  50/78 ( 65%)]  Loss: 2.35 (2.31)  Time: 0.393s, 2605.97/s  (0.419s, 2446.19/s)  LR: 1.264e-01  Data: 0.027 (0.054)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.428 (1.428)  Loss:   4.630 ( 4.630)  Acc@1:  23.828 ( 23.828)  Acc@5:  43.652 ( 43.652)
Test: [  48/48]  Time: 0.086 (0.323)  Loss:   4.260 ( 4.543)  Acc@1:  27.712 ( 24.062)  Acc@5:  45.283 ( 42.950)
Train: 94 [   0/78 (  1%)]  Loss: 2.23 (2.23)  Time: 1.961s,  522.28/s  (1.961s,  522.28/s)  LR: 1.225e-01  Data: 1.598 (1.598)
Train: 94 [  50/78 ( 65%)]  Loss: 2.33 (2.28)  Time: 0.397s, 2581.30/s  (0.426s, 2401.08/s)  LR: 1.225e-01  Data: 0.027 (0.058)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.445 (1.445)  Loss:   4.567 ( 4.567)  Acc@1:  25.098 ( 25.098)  Acc@5:  44.531 ( 44.531)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.259 ( 4.484)  Acc@1:  26.179 ( 25.022)  Acc@5:  48.231 ( 43.944)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-94.pth.tar', 25.021999995117188)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-66.pth.tar', 24.65400004638672)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-91.pth.tar', 24.486000009155273)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-68.pth.tar', 24.47799999206543)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-89.pth.tar', 24.408000006103517)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-88.pth.tar', 24.342000006103515)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-85.pth.tar', 24.29)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-64.pth.tar', 24.266000014038084)

Train: 95 [   0/78 (  1%)]  Loss: 2.19 (2.19)  Time: 1.841s,  556.35/s  (1.841s,  556.35/s)  LR: 1.187e-01  Data: 1.473 (1.473)
Train: 95 [  50/78 ( 65%)]  Loss: 2.26 (2.27)  Time: 0.401s, 2550.81/s  (0.429s, 2384.74/s)  LR: 1.187e-01  Data: 0.028 (0.056)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.419 (1.419)  Loss:   4.608 ( 4.608)  Acc@1:  24.805 ( 24.805)  Acc@5:  45.801 ( 45.801)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   4.268 ( 4.549)  Acc@1:  26.769 ( 24.422)  Acc@5:  47.759 ( 43.000)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-94.pth.tar', 25.021999995117188)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-66.pth.tar', 24.65400004638672)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-91.pth.tar', 24.486000009155273)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-68.pth.tar', 24.47799999206543)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-95.pth.tar', 24.422000025024413)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-89.pth.tar', 24.408000006103517)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-88.pth.tar', 24.342000006103515)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-85.pth.tar', 24.29)

Train: 96 [   0/78 (  1%)]  Loss: 2.26 (2.26)  Time: 2.274s,  450.35/s  (2.274s,  450.35/s)  LR: 1.148e-01  Data: 1.902 (1.902)
Train: 96 [  50/78 ( 65%)]  Loss: 2.30 (2.26)  Time: 0.407s, 2515.25/s  (0.444s, 2308.74/s)  LR: 1.148e-01  Data: 0.028 (0.064)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.417 (1.417)  Loss:   4.543 ( 4.543)  Acc@1:  25.195 ( 25.195)  Acc@5:  43.457 ( 43.457)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.169 ( 4.461)  Acc@1:  28.656 ( 25.200)  Acc@5:  45.991 ( 44.240)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-96.pth.tar', 25.20000000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-94.pth.tar', 25.021999995117188)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-66.pth.tar', 24.65400004638672)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-91.pth.tar', 24.486000009155273)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-68.pth.tar', 24.47799999206543)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-95.pth.tar', 24.422000025024413)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-89.pth.tar', 24.408000006103517)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-88.pth.tar', 24.342000006103515)

Train: 97 [   0/78 (  1%)]  Loss: 2.22 (2.22)  Time: 1.836s,  557.65/s  (1.836s,  557.65/s)  LR: 1.111e-01  Data: 1.464 (1.464)
Train: 97 [  50/78 ( 65%)]  Loss: 2.25 (2.24)  Time: 0.408s, 2512.11/s  (0.435s, 2355.23/s)  LR: 1.111e-01  Data: 0.027 (0.056)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.421 (1.421)  Loss:   4.571 ( 4.571)  Acc@1:  24.023 ( 24.023)  Acc@5:  45.898 ( 45.898)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   4.229 ( 4.486)  Acc@1:  26.887 ( 25.278)  Acc@5:  48.349 ( 44.096)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-97.pth.tar', 25.27800001159668)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-96.pth.tar', 25.20000000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-94.pth.tar', 25.021999995117188)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-66.pth.tar', 24.65400004638672)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-91.pth.tar', 24.486000009155273)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-68.pth.tar', 24.47799999206543)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-95.pth.tar', 24.422000025024413)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-89.pth.tar', 24.408000006103517)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-48.pth.tar', 24.377999990234375)

Train: 98 [   0/78 (  1%)]  Loss: 2.15 (2.15)  Time: 1.949s,  525.42/s  (1.949s,  525.42/s)  LR: 1.073e-01  Data: 1.581 (1.581)
Train: 98 [  50/78 ( 65%)]  Loss: 2.25 (2.22)  Time: 0.401s, 2552.09/s  (0.431s, 2374.32/s)  LR: 1.073e-01  Data: 0.028 (0.058)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.419 (1.419)  Loss:   4.604 ( 4.604)  Acc@1:  25.781 ( 25.781)  Acc@5:  44.238 ( 44.238)
Test: [  48/48]  Time: 0.088 (0.326)  Loss:   4.246 ( 4.521)  Acc@1:  26.769 ( 24.818)  Acc@5:  47.877 ( 43.652)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-97.pth.tar', 25.27800001159668)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-96.pth.tar', 25.20000000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-94.pth.tar', 25.021999995117188)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-98.pth.tar', 24.81799999267578)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-66.pth.tar', 24.65400004638672)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-91.pth.tar', 24.486000009155273)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-68.pth.tar', 24.47799999206543)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-95.pth.tar', 24.422000025024413)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-89.pth.tar', 24.408000006103517)

Train: 99 [   0/78 (  1%)]  Loss: 2.16 (2.16)  Time: 1.597s,  641.31/s  (1.597s,  641.31/s)  LR: 1.036e-01  Data: 1.225 (1.225)
Train: 99 [  50/78 ( 65%)]  Loss: 2.25 (2.20)  Time: 0.409s, 2504.05/s  (0.429s, 2384.84/s)  LR: 1.036e-01  Data: 0.031 (0.051)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.431 (1.431)  Loss:   4.520 ( 4.520)  Acc@1:  25.977 ( 25.977)  Acc@5:  45.215 ( 45.215)
Test: [  48/48]  Time: 0.088 (0.321)  Loss:   4.180 ( 4.464)  Acc@1:  26.651 ( 25.108)  Acc@5:  48.585 ( 43.836)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-97.pth.tar', 25.27800001159668)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-96.pth.tar', 25.20000000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-99.pth.tar', 25.108000006103516)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-94.pth.tar', 25.021999995117188)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-98.pth.tar', 24.81799999267578)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-66.pth.tar', 24.65400004638672)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-91.pth.tar', 24.486000009155273)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-68.pth.tar', 24.47799999206543)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-95.pth.tar', 24.422000025024413)

Train: 100 [   0/78 (  1%)]  Loss: 2.24 (2.24)  Time: 2.137s,  479.19/s  (2.137s,  479.19/s)  LR: 1.000e-01  Data: 1.765 (1.765)
Train: 100 [  50/78 ( 65%)]  Loss: 2.20 (2.19)  Time: 0.404s, 2531.69/s  (0.440s, 2325.71/s)  LR: 1.000e-01  Data: 0.027 (0.061)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.455 (1.455)  Loss:   4.581 ( 4.581)  Acc@1:  24.707 ( 24.707)  Acc@5:  44.043 ( 44.043)
Test: [  48/48]  Time: 0.087 (0.324)  Loss:   4.177 ( 4.478)  Acc@1:  26.179 ( 24.588)  Acc@5:  46.934 ( 43.462)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-97.pth.tar', 25.27800001159668)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-96.pth.tar', 25.20000000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-99.pth.tar', 25.108000006103516)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-94.pth.tar', 25.021999995117188)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-98.pth.tar', 24.81799999267578)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-66.pth.tar', 24.65400004638672)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-100.pth.tar', 24.587999995117187)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-91.pth.tar', 24.486000009155273)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-68.pth.tar', 24.47799999206543)

Train: 101 [   0/78 (  1%)]  Loss: 2.11 (2.11)  Time: 1.550s,  660.60/s  (1.550s,  660.60/s)  LR: 9.639e-02  Data: 1.077 (1.077)
Train: 101 [  50/78 ( 65%)]  Loss: 2.18 (2.17)  Time: 0.398s, 2575.24/s  (0.421s, 2433.08/s)  LR: 9.639e-02  Data: 0.027 (0.048)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.414 (1.414)  Loss:   4.525 ( 4.525)  Acc@1:  25.977 ( 25.977)  Acc@5:  44.238 ( 44.238)
Test: [  48/48]  Time: 0.087 (0.323)  Loss:   4.175 ( 4.459)  Acc@1:  27.594 ( 25.082)  Acc@5:  46.816 ( 43.790)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-97.pth.tar', 25.27800001159668)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-96.pth.tar', 25.20000000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-99.pth.tar', 25.108000006103516)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-101.pth.tar', 25.082000028076173)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-94.pth.tar', 25.021999995117188)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-98.pth.tar', 24.81799999267578)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-66.pth.tar', 24.65400004638672)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-100.pth.tar', 24.587999995117187)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-91.pth.tar', 24.486000009155273)

Train: 102 [   0/78 (  1%)]  Loss: 2.12 (2.12)  Time: 1.804s,  567.54/s  (1.804s,  567.54/s)  LR: 9.283e-02  Data: 1.435 (1.435)
Train: 102 [  50/78 ( 65%)]  Loss: 2.30 (2.14)  Time: 0.406s, 2521.65/s  (0.430s, 2383.20/s)  LR: 9.283e-02  Data: 0.029 (0.055)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.418 (1.418)  Loss:   4.519 ( 4.519)  Acc@1:  25.879 ( 25.879)  Acc@5:  45.605 ( 45.605)
Test: [  48/48]  Time: 0.089 (0.322)  Loss:   4.175 ( 4.465)  Acc@1:  27.123 ( 24.986)  Acc@5:  47.170 ( 43.674)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-97.pth.tar', 25.27800001159668)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-96.pth.tar', 25.20000000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-99.pth.tar', 25.108000006103516)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-101.pth.tar', 25.082000028076173)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-94.pth.tar', 25.021999995117188)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-102.pth.tar', 24.986000017089843)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-98.pth.tar', 24.81799999267578)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-66.pth.tar', 24.65400004638672)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-100.pth.tar', 24.587999995117187)

Train: 103 [   0/78 (  1%)]  Loss: 2.10 (2.10)  Time: 1.657s,  618.02/s  (1.657s,  618.02/s)  LR: 8.932e-02  Data: 1.281 (1.281)
Train: 103 [  50/78 ( 65%)]  Loss: 2.19 (2.14)  Time: 0.405s, 2531.49/s  (0.430s, 2381.34/s)  LR: 8.932e-02  Data: 0.027 (0.052)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.433 (1.433)  Loss:   4.540 ( 4.540)  Acc@1:  24.902 ( 24.902)  Acc@5:  45.215 ( 45.215)
Test: [  48/48]  Time: 0.088 (0.325)  Loss:   4.183 ( 4.483)  Acc@1:  27.594 ( 25.056)  Acc@5:  49.175 ( 43.844)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-97.pth.tar', 25.27800001159668)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-96.pth.tar', 25.20000000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-99.pth.tar', 25.108000006103516)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-101.pth.tar', 25.082000028076173)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-103.pth.tar', 25.055999963378905)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-94.pth.tar', 25.021999995117188)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-102.pth.tar', 24.986000017089843)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-98.pth.tar', 24.81799999267578)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-66.pth.tar', 24.65400004638672)

Train: 104 [   0/78 (  1%)]  Loss: 2.10 (2.10)  Time: 1.576s,  649.86/s  (1.576s,  649.86/s)  LR: 8.586e-02  Data: 1.202 (1.202)
Train: 104 [  50/78 ( 65%)]  Loss: 2.17 (2.14)  Time: 0.405s, 2527.13/s  (0.430s, 2381.98/s)  LR: 8.586e-02  Data: 0.027 (0.051)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.421 (1.421)  Loss:   4.584 ( 4.584)  Acc@1:  25.000 ( 25.000)  Acc@5:  44.043 ( 44.043)
Test: [  48/48]  Time: 0.087 (0.323)  Loss:   4.113 ( 4.472)  Acc@1:  28.538 ( 24.922)  Acc@5:  47.877 ( 43.808)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-97.pth.tar', 25.27800001159668)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-96.pth.tar', 25.20000000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-99.pth.tar', 25.108000006103516)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-101.pth.tar', 25.082000028076173)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-103.pth.tar', 25.055999963378905)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-94.pth.tar', 25.021999995117188)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-102.pth.tar', 24.986000017089843)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-104.pth.tar', 24.922000017700196)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-98.pth.tar', 24.81799999267578)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-52.pth.tar', 24.715999979248046)

Train: 105 [   0/78 (  1%)]  Loss: 2.16 (2.16)  Time: 1.656s,  618.23/s  (1.656s,  618.23/s)  LR: 8.244e-02  Data: 1.286 (1.286)
Train: 105 [  50/78 ( 65%)]  Loss: 2.18 (2.12)  Time: 0.412s, 2488.39/s  (0.430s, 2382.02/s)  LR: 8.244e-02  Data: 0.029 (0.052)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.425 (1.425)  Loss:   4.586 ( 4.586)  Acc@1:  25.098 ( 25.098)  Acc@5:  44.434 ( 44.434)
Test: [  48/48]  Time: 0.087 (0.322)  Loss:   4.187 ( 4.470)  Acc@1:  27.123 ( 25.118)  Acc@5:  47.052 ( 43.724)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-97.pth.tar', 25.27800001159668)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-96.pth.tar', 25.20000000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-105.pth.tar', 25.118000017089845)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-99.pth.tar', 25.108000006103516)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-101.pth.tar', 25.082000028076173)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-103.pth.tar', 25.055999963378905)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-94.pth.tar', 25.021999995117188)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-102.pth.tar', 24.986000017089843)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-104.pth.tar', 24.922000017700196)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-98.pth.tar', 24.81799999267578)

Train: 106 [   0/78 (  1%)]  Loss: 2.09 (2.09)  Time: 1.526s,  670.86/s  (1.526s,  670.86/s)  LR: 7.908e-02  Data: 1.156 (1.156)
Train: 106 [  50/78 ( 65%)]  Loss: 2.11 (2.09)  Time: 0.407s, 2516.53/s  (0.426s, 2402.31/s)  LR: 7.908e-02  Data: 0.033 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.419 (1.419)  Loss:   4.558 ( 4.558)  Acc@1:  25.000 ( 25.000)  Acc@5:  42.383 ( 42.383)
Test: [  48/48]  Time: 0.088 (0.325)  Loss:   4.144 ( 4.438)  Acc@1:  28.184 ( 25.278)  Acc@5:  48.231 ( 44.038)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-106.pth.tar', 25.278000025634764)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-97.pth.tar', 25.27800001159668)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-96.pth.tar', 25.20000000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-105.pth.tar', 25.118000017089845)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-99.pth.tar', 25.108000006103516)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-101.pth.tar', 25.082000028076173)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-103.pth.tar', 25.055999963378905)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-94.pth.tar', 25.021999995117188)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-102.pth.tar', 24.986000017089843)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-104.pth.tar', 24.922000017700196)

Train: 107 [   0/78 (  1%)]  Loss: 2.09 (2.09)  Time: 1.898s,  539.44/s  (1.898s,  539.44/s)  LR: 7.577e-02  Data: 1.527 (1.527)
Train: 107 [  50/78 ( 65%)]  Loss: 2.05 (2.08)  Time: 0.407s, 2518.55/s  (0.434s, 2358.53/s)  LR: 7.577e-02  Data: 0.029 (0.057)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.429 (1.429)  Loss:   4.506 ( 4.506)  Acc@1:  25.684 ( 25.684)  Acc@5:  44.141 ( 44.141)
Test: [  48/48]  Time: 0.088 (0.328)  Loss:   4.196 ( 4.434)  Acc@1:  26.179 ( 25.240)  Acc@5:  48.113 ( 44.016)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-106.pth.tar', 25.278000025634764)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-97.pth.tar', 25.27800001159668)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-107.pth.tar', 25.240000027465822)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-96.pth.tar', 25.20000000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-105.pth.tar', 25.118000017089845)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-99.pth.tar', 25.108000006103516)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-101.pth.tar', 25.082000028076173)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-103.pth.tar', 25.055999963378905)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-94.pth.tar', 25.021999995117188)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-102.pth.tar', 24.986000017089843)

Train: 108 [   0/78 (  1%)]  Loss: 2.04 (2.04)  Time: 1.520s,  673.90/s  (1.520s,  673.90/s)  LR: 7.252e-02  Data: 1.144 (1.144)
Train: 108 [  50/78 ( 65%)]  Loss: 2.09 (2.08)  Time: 0.406s, 2523.08/s  (0.430s, 2381.94/s)  LR: 7.252e-02  Data: 0.027 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.485 (1.485)  Loss:   4.557 ( 4.557)  Acc@1:  24.121 ( 24.121)  Acc@5:  44.922 ( 44.922)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.157 ( 4.450)  Acc@1:  27.241 ( 24.992)  Acc@5:  47.995 ( 43.816)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-106.pth.tar', 25.278000025634764)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-97.pth.tar', 25.27800001159668)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-107.pth.tar', 25.240000027465822)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-96.pth.tar', 25.20000000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-105.pth.tar', 25.118000017089845)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-99.pth.tar', 25.108000006103516)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-101.pth.tar', 25.082000028076173)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-103.pth.tar', 25.055999963378905)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-94.pth.tar', 25.021999995117188)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-108.pth.tar', 24.99200000366211)

Train: 109 [   0/78 (  1%)]  Loss: 2.04 (2.04)  Time: 1.587s,  645.13/s  (1.587s,  645.13/s)  LR: 6.932e-02  Data: 1.215 (1.215)
Train: 109 [  50/78 ( 65%)]  Loss: 2.04 (2.06)  Time: 0.409s, 2506.06/s  (0.432s, 2370.64/s)  LR: 6.932e-02  Data: 0.027 (0.053)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.417 (1.417)  Loss:   4.521 ( 4.521)  Acc@1:  25.000 ( 25.000)  Acc@5:  44.336 ( 44.336)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   4.112 ( 4.412)  Acc@1:  27.476 ( 25.406)  Acc@5:  48.113 ( 44.404)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-109.pth.tar', 25.40599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-106.pth.tar', 25.278000025634764)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-97.pth.tar', 25.27800001159668)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-107.pth.tar', 25.240000027465822)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-96.pth.tar', 25.20000000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-105.pth.tar', 25.118000017089845)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-99.pth.tar', 25.108000006103516)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-101.pth.tar', 25.082000028076173)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-103.pth.tar', 25.055999963378905)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-94.pth.tar', 25.021999995117188)

Train: 110 [   0/78 (  1%)]  Loss: 2.00 (2.00)  Time: 1.499s,  682.99/s  (1.499s,  682.99/s)  LR: 6.617e-02  Data: 1.103 (1.103)
Train: 110 [  50/78 ( 65%)]  Loss: 2.04 (2.05)  Time: 0.400s, 2562.94/s  (0.421s, 2430.09/s)  LR: 6.617e-02  Data: 0.027 (0.049)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.417 (1.417)  Loss:   4.534 ( 4.534)  Acc@1:  25.684 ( 25.684)  Acc@5:  44.434 ( 44.434)
Test: [  48/48]  Time: 0.087 (0.323)  Loss:   4.168 ( 4.441)  Acc@1:  27.241 ( 25.458)  Acc@5:  47.288 ( 43.880)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-110.pth.tar', 25.45800000366211)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-109.pth.tar', 25.40599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-106.pth.tar', 25.278000025634764)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-97.pth.tar', 25.27800001159668)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-107.pth.tar', 25.240000027465822)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-96.pth.tar', 25.20000000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-105.pth.tar', 25.118000017089845)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-99.pth.tar', 25.108000006103516)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-101.pth.tar', 25.082000028076173)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-103.pth.tar', 25.055999963378905)

Train: 111 [   0/78 (  1%)]  Loss: 2.04 (2.04)  Time: 1.647s,  621.82/s  (1.647s,  621.82/s)  LR: 6.309e-02  Data: 1.277 (1.277)
Train: 111 [  50/78 ( 65%)]  Loss: 2.00 (2.03)  Time: 0.408s, 2509.13/s  (0.428s, 2392.52/s)  LR: 6.309e-02  Data: 0.027 (0.052)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.423 (1.423)  Loss:   4.531 ( 4.531)  Acc@1:  25.488 ( 25.488)  Acc@5:  44.336 ( 44.336)
Test: [  48/48]  Time: 0.088 (0.326)  Loss:   4.141 ( 4.402)  Acc@1:  26.297 ( 25.500)  Acc@5:  47.642 ( 44.372)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-111.pth.tar', 25.500000014038086)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-110.pth.tar', 25.45800000366211)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-109.pth.tar', 25.40599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-106.pth.tar', 25.278000025634764)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-97.pth.tar', 25.27800001159668)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-107.pth.tar', 25.240000027465822)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-96.pth.tar', 25.20000000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-105.pth.tar', 25.118000017089845)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-99.pth.tar', 25.108000006103516)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-101.pth.tar', 25.082000028076173)

Train: 112 [   0/78 (  1%)]  Loss: 2.01 (2.01)  Time: 1.667s,  614.24/s  (1.667s,  614.24/s)  LR: 6.007e-02  Data: 1.086 (1.086)
Train: 112 [  50/78 ( 65%)]  Loss: 2.03 (2.03)  Time: 0.410s, 2495.49/s  (0.434s, 2361.39/s)  LR: 6.007e-02  Data: 0.029 (0.048)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.422 (1.422)  Loss:   4.499 ( 4.499)  Acc@1:  25.586 ( 25.586)  Acc@5:  44.238 ( 44.238)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.160 ( 4.422)  Acc@1:  27.005 ( 25.288)  Acc@5:  47.642 ( 44.156)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-111.pth.tar', 25.500000014038086)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-110.pth.tar', 25.45800000366211)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-109.pth.tar', 25.40599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-112.pth.tar', 25.287999998168946)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-106.pth.tar', 25.278000025634764)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-97.pth.tar', 25.27800001159668)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-107.pth.tar', 25.240000027465822)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-96.pth.tar', 25.20000000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-105.pth.tar', 25.118000017089845)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-99.pth.tar', 25.108000006103516)

Train: 113 [   0/78 (  1%)]  Loss: 2.08 (2.08)  Time: 1.589s,  644.44/s  (1.589s,  644.44/s)  LR: 5.711e-02  Data: 1.135 (1.135)
Train: 113 [  50/78 ( 65%)]  Loss: 1.99 (2.02)  Time: 0.408s, 2509.69/s  (0.434s, 2358.61/s)  LR: 5.711e-02  Data: 0.028 (0.049)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.434 (1.434)  Loss:   4.479 ( 4.479)  Acc@1:  25.098 ( 25.098)  Acc@5:  44.824 ( 44.824)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   4.105 ( 4.387)  Acc@1:  26.769 ( 25.772)  Acc@5:  47.524 ( 44.748)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-113.pth.tar', 25.77199999267578)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-111.pth.tar', 25.500000014038086)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-110.pth.tar', 25.45800000366211)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-109.pth.tar', 25.40599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-112.pth.tar', 25.287999998168946)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-106.pth.tar', 25.278000025634764)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-97.pth.tar', 25.27800001159668)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-107.pth.tar', 25.240000027465822)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-96.pth.tar', 25.20000000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-105.pth.tar', 25.118000017089845)

Train: 114 [   0/78 (  1%)]  Loss: 2.02 (2.02)  Time: 1.529s,  669.58/s  (1.529s,  669.58/s)  LR: 5.421e-02  Data: 1.156 (1.156)
Train: 114 [  50/78 ( 65%)]  Loss: 2.07 (2.01)  Time: 0.406s, 2519.11/s  (0.437s, 2344.62/s)  LR: 5.421e-02  Data: 0.028 (0.049)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.448 (1.448)  Loss:   4.461 ( 4.461)  Acc@1:  26.855 ( 26.855)  Acc@5:  44.238 ( 44.238)
Test: [  48/48]  Time: 0.087 (0.325)  Loss:   4.099 ( 4.403)  Acc@1:  27.948 ( 25.544)  Acc@5:  50.118 ( 44.332)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-113.pth.tar', 25.77199999267578)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-114.pth.tar', 25.544000020141603)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-111.pth.tar', 25.500000014038086)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-110.pth.tar', 25.45800000366211)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-109.pth.tar', 25.40599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-112.pth.tar', 25.287999998168946)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-106.pth.tar', 25.278000025634764)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-97.pth.tar', 25.27800001159668)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-107.pth.tar', 25.240000027465822)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-96.pth.tar', 25.20000000427246)

Train: 115 [   0/78 (  1%)]  Loss: 1.98 (1.98)  Time: 1.478s,  692.70/s  (1.478s,  692.70/s)  LR: 5.137e-02  Data: 1.114 (1.114)
Train: 115 [  50/78 ( 65%)]  Loss: 1.99 (2.00)  Time: 0.394s, 2596.86/s  (0.416s, 2460.59/s)  LR: 5.137e-02  Data: 0.027 (0.049)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.464 (1.464)  Loss:   4.478 ( 4.478)  Acc@1:  25.195 ( 25.195)  Acc@5:  43.848 ( 43.848)
Test: [  48/48]  Time: 0.087 (0.324)  Loss:   4.102 ( 4.386)  Acc@1:  28.420 ( 25.848)  Acc@5:  48.113 ( 44.506)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-115.pth.tar', 25.847999998779297)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-113.pth.tar', 25.77199999267578)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-114.pth.tar', 25.544000020141603)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-111.pth.tar', 25.500000014038086)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-110.pth.tar', 25.45800000366211)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-109.pth.tar', 25.40599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-112.pth.tar', 25.287999998168946)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-106.pth.tar', 25.278000025634764)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-97.pth.tar', 25.27800001159668)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-107.pth.tar', 25.240000027465822)

Train: 116 [   0/78 (  1%)]  Loss: 1.95 (1.95)  Time: 1.494s,  685.59/s  (1.494s,  685.59/s)  LR: 4.860e-02  Data: 1.131 (1.131)
Train: 116 [  50/78 ( 65%)]  Loss: 1.95 (1.99)  Time: 0.398s, 2575.88/s  (0.417s, 2453.08/s)  LR: 4.860e-02  Data: 0.029 (0.049)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.404 (1.404)  Loss:   4.498 ( 4.498)  Acc@1:  25.195 ( 25.195)  Acc@5:  43.652 ( 43.652)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.127 ( 4.394)  Acc@1:  27.830 ( 25.666)  Acc@5:  48.467 ( 44.406)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-115.pth.tar', 25.847999998779297)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-113.pth.tar', 25.77199999267578)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-116.pth.tar', 25.666000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-114.pth.tar', 25.544000020141603)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-111.pth.tar', 25.500000014038086)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-110.pth.tar', 25.45800000366211)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-109.pth.tar', 25.40599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-112.pth.tar', 25.287999998168946)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-106.pth.tar', 25.278000025634764)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-97.pth.tar', 25.27800001159668)

Train: 117 [   0/78 (  1%)]  Loss: 2.04 (2.04)  Time: 1.731s,  591.64/s  (1.731s,  591.64/s)  LR: 4.590e-02  Data: 1.363 (1.363)
Train: 117 [  50/78 ( 65%)]  Loss: 2.04 (1.98)  Time: 0.406s, 2523.72/s  (0.428s, 2393.67/s)  LR: 4.590e-02  Data: 0.028 (0.054)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.414 (1.414)  Loss:   4.425 ( 4.425)  Acc@1:  27.246 ( 27.246)  Acc@5:  45.410 ( 45.410)
Test: [  48/48]  Time: 0.088 (0.321)  Loss:   4.098 ( 4.377)  Acc@1:  28.420 ( 25.728)  Acc@5:  48.939 ( 44.622)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-115.pth.tar', 25.847999998779297)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-113.pth.tar', 25.77199999267578)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-117.pth.tar', 25.727999998779296)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-116.pth.tar', 25.666000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-114.pth.tar', 25.544000020141603)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-111.pth.tar', 25.500000014038086)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-110.pth.tar', 25.45800000366211)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-109.pth.tar', 25.40599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-112.pth.tar', 25.287999998168946)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-106.pth.tar', 25.278000025634764)

Train: 118 [   0/78 (  1%)]  Loss: 1.92 (1.92)  Time: 1.919s,  533.73/s  (1.919s,  533.73/s)  LR: 4.326e-02  Data: 1.545 (1.545)
Train: 118 [  50/78 ( 65%)]  Loss: 1.96 (1.97)  Time: 0.404s, 2534.00/s  (0.438s, 2338.42/s)  LR: 4.326e-02  Data: 0.027 (0.057)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.439 (1.439)  Loss:   4.531 ( 4.531)  Acc@1:  25.977 ( 25.977)  Acc@5:  44.531 ( 44.531)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.147 ( 4.408)  Acc@1:  28.066 ( 25.504)  Acc@5:  47.170 ( 44.216)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-115.pth.tar', 25.847999998779297)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-113.pth.tar', 25.77199999267578)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-117.pth.tar', 25.727999998779296)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-116.pth.tar', 25.666000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-114.pth.tar', 25.544000020141603)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-118.pth.tar', 25.504000006713866)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-111.pth.tar', 25.500000014038086)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-110.pth.tar', 25.45800000366211)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-109.pth.tar', 25.40599997680664)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-112.pth.tar', 25.287999998168946)

Train: 119 [   0/78 (  1%)]  Loss: 1.98 (1.98)  Time: 1.899s,  539.14/s  (1.899s,  539.14/s)  LR: 4.069e-02  Data: 1.529 (1.529)
Train: 119 [  50/78 ( 65%)]  Loss: 2.00 (1.96)  Time: 0.407s, 2515.48/s  (0.434s, 2360.33/s)  LR: 4.069e-02  Data: 0.028 (0.057)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.449 (1.449)  Loss:   4.468 ( 4.468)  Acc@1:  27.246 ( 27.246)  Acc@5:  45.215 ( 45.215)
Test: [  48/48]  Time: 0.088 (0.325)  Loss:   4.105 ( 4.374)  Acc@1:  27.830 ( 25.954)  Acc@5:  48.467 ( 44.666)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-119.pth.tar', 25.954000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-115.pth.tar', 25.847999998779297)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-113.pth.tar', 25.77199999267578)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-117.pth.tar', 25.727999998779296)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-116.pth.tar', 25.666000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-114.pth.tar', 25.544000020141603)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-118.pth.tar', 25.504000006713866)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-111.pth.tar', 25.500000014038086)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-110.pth.tar', 25.45800000366211)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-109.pth.tar', 25.40599997680664)

Train: 120 [   0/78 (  1%)]  Loss: 1.98 (1.98)  Time: 1.792s,  571.58/s  (1.792s,  571.58/s)  LR: 3.820e-02  Data: 1.186 (1.186)
Train: 120 [  50/78 ( 65%)]  Loss: 1.94 (1.95)  Time: 0.410s, 2499.53/s  (0.435s, 2354.67/s)  LR: 3.820e-02  Data: 0.026 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.414 (1.414)  Loss:   4.498 ( 4.498)  Acc@1:  25.977 ( 25.977)  Acc@5:  44.629 ( 44.629)
Test: [  48/48]  Time: 0.088 (0.322)  Loss:   4.057 ( 4.374)  Acc@1:  27.712 ( 26.114)  Acc@5:  48.821 ( 44.866)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-120.pth.tar', 26.114000014648436)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-119.pth.tar', 25.954000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-115.pth.tar', 25.847999998779297)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-113.pth.tar', 25.77199999267578)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-117.pth.tar', 25.727999998779296)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-116.pth.tar', 25.666000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-114.pth.tar', 25.544000020141603)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-118.pth.tar', 25.504000006713866)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-111.pth.tar', 25.500000014038086)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-110.pth.tar', 25.45800000366211)

Train: 121 [   0/78 (  1%)]  Loss: 1.91 (1.91)  Time: 1.491s,  686.63/s  (1.491s,  686.63/s)  LR: 3.577e-02  Data: 1.123 (1.123)
Train: 121 [  50/78 ( 65%)]  Loss: 1.89 (1.95)  Time: 0.398s, 2571.36/s  (0.421s, 2432.36/s)  LR: 3.577e-02  Data: 0.028 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.434 (1.434)  Loss:   4.389 ( 4.389)  Acc@1:  28.027 ( 28.027)  Acc@5:  45.117 ( 45.117)
Test: [  48/48]  Time: 0.087 (0.325)  Loss:   4.070 ( 4.354)  Acc@1:  28.892 ( 26.168)  Acc@5:  48.231 ( 44.774)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-121.pth.tar', 26.168000009765624)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-120.pth.tar', 26.114000014648436)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-119.pth.tar', 25.954000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-115.pth.tar', 25.847999998779297)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-113.pth.tar', 25.77199999267578)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-117.pth.tar', 25.727999998779296)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-116.pth.tar', 25.666000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-114.pth.tar', 25.544000020141603)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-118.pth.tar', 25.504000006713866)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-111.pth.tar', 25.500000014038086)

Train: 122 [   0/78 (  1%)]  Loss: 2.00 (2.00)  Time: 1.704s,  600.78/s  (1.704s,  600.78/s)  LR: 3.342e-02  Data: 1.184 (1.184)
Train: 122 [  50/78 ( 65%)]  Loss: 1.92 (1.95)  Time: 0.403s, 2541.23/s  (0.427s, 2400.07/s)  LR: 3.342e-02  Data: 0.028 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.411 (1.411)  Loss:   4.441 ( 4.441)  Acc@1:  26.562 ( 26.562)  Acc@5:  44.922 ( 44.922)
Test: [  48/48]  Time: 0.089 (0.324)  Loss:   4.089 ( 4.370)  Acc@1:  28.066 ( 25.938)  Acc@5:  47.642 ( 44.800)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-121.pth.tar', 26.168000009765624)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-120.pth.tar', 26.114000014648436)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-119.pth.tar', 25.954000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-122.pth.tar', 25.9380000390625)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-115.pth.tar', 25.847999998779297)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-113.pth.tar', 25.77199999267578)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-117.pth.tar', 25.727999998779296)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-116.pth.tar', 25.666000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-114.pth.tar', 25.544000020141603)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-118.pth.tar', 25.504000006713866)

Train: 123 [   0/78 (  1%)]  Loss: 1.97 (1.97)  Time: 1.703s,  601.33/s  (1.703s,  601.33/s)  LR: 3.113e-02  Data: 1.184 (1.184)
Train: 123 [  50/78 ( 65%)]  Loss: 1.87 (1.93)  Time: 0.408s, 2510.69/s  (0.435s, 2355.63/s)  LR: 3.113e-02  Data: 0.029 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.430 (1.430)  Loss:   4.401 ( 4.401)  Acc@1:  26.660 ( 26.660)  Acc@5:  44.727 ( 44.727)
Test: [  48/48]  Time: 0.088 (0.325)  Loss:   4.035 ( 4.328)  Acc@1:  29.009 ( 26.556)  Acc@5:  48.821 ( 45.284)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-123.pth.tar', 26.555999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-121.pth.tar', 26.168000009765624)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-120.pth.tar', 26.114000014648436)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-119.pth.tar', 25.954000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-122.pth.tar', 25.9380000390625)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-115.pth.tar', 25.847999998779297)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-113.pth.tar', 25.77199999267578)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-117.pth.tar', 25.727999998779296)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-116.pth.tar', 25.666000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-114.pth.tar', 25.544000020141603)

Train: 124 [   0/78 (  1%)]  Loss: 1.93 (1.93)  Time: 1.808s,  566.34/s  (1.808s,  566.34/s)  LR: 2.893e-02  Data: 1.440 (1.440)
Train: 124 [  50/78 ( 65%)]  Loss: 1.93 (1.92)  Time: 0.402s, 2549.60/s  (0.428s, 2391.57/s)  LR: 2.893e-02  Data: 0.027 (0.055)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.438 (1.438)  Loss:   4.450 ( 4.450)  Acc@1:  25.879 ( 25.879)  Acc@5:  45.117 ( 45.117)
Test: [  48/48]  Time: 0.088 (0.325)  Loss:   4.017 ( 4.333)  Acc@1:  29.245 ( 26.388)  Acc@5:  50.590 ( 45.214)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-123.pth.tar', 26.555999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-124.pth.tar', 26.388000001831056)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-121.pth.tar', 26.168000009765624)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-120.pth.tar', 26.114000014648436)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-119.pth.tar', 25.954000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-122.pth.tar', 25.9380000390625)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-115.pth.tar', 25.847999998779297)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-113.pth.tar', 25.77199999267578)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-117.pth.tar', 25.727999998779296)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-116.pth.tar', 25.666000001220702)

Train: 125 [   0/78 (  1%)]  Loss: 1.91 (1.91)  Time: 1.599s,  640.35/s  (1.599s,  640.35/s)  LR: 2.679e-02  Data: 1.226 (1.226)
Train: 125 [  50/78 ( 65%)]  Loss: 1.89 (1.91)  Time: 0.405s, 2531.03/s  (0.431s, 2377.02/s)  LR: 2.679e-02  Data: 0.028 (0.052)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.432 (1.432)  Loss:   4.425 ( 4.425)  Acc@1:  27.148 ( 27.148)  Acc@5:  45.312 ( 45.312)
Test: [  48/48]  Time: 0.088 (0.325)  Loss:   4.049 ( 4.329)  Acc@1:  28.302 ( 26.384)  Acc@5:  49.528 ( 45.348)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-123.pth.tar', 26.555999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-124.pth.tar', 26.388000001831056)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-125.pth.tar', 26.384000012207032)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-121.pth.tar', 26.168000009765624)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-120.pth.tar', 26.114000014648436)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-119.pth.tar', 25.954000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-122.pth.tar', 25.9380000390625)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-115.pth.tar', 25.847999998779297)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-113.pth.tar', 25.77199999267578)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-117.pth.tar', 25.727999998779296)

Train: 126 [   0/78 (  1%)]  Loss: 1.89 (1.89)  Time: 1.494s,  685.47/s  (1.494s,  685.47/s)  LR: 2.474e-02  Data: 1.106 (1.106)
Train: 126 [  50/78 ( 65%)]  Loss: 1.92 (1.91)  Time: 0.405s, 2526.36/s  (0.426s, 2405.73/s)  LR: 2.474e-02  Data: 0.026 (0.049)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.428 (1.428)  Loss:   4.408 ( 4.408)  Acc@1:  26.074 ( 26.074)  Acc@5:  45.117 ( 45.117)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.030 ( 4.326)  Acc@1:  29.009 ( 26.416)  Acc@5:  49.410 ( 45.336)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-123.pth.tar', 26.555999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-126.pth.tar', 26.416000028686522)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-124.pth.tar', 26.388000001831056)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-125.pth.tar', 26.384000012207032)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-121.pth.tar', 26.168000009765624)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-120.pth.tar', 26.114000014648436)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-119.pth.tar', 25.954000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-122.pth.tar', 25.9380000390625)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-115.pth.tar', 25.847999998779297)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-113.pth.tar', 25.77199999267578)

Train: 127 [   0/78 (  1%)]  Loss: 1.88 (1.88)  Time: 1.810s,  565.66/s  (1.810s,  565.66/s)  LR: 2.276e-02  Data: 1.437 (1.437)
Train: 127 [  50/78 ( 65%)]  Loss: 1.92 (1.91)  Time: 0.411s, 2493.07/s  (0.435s, 2355.86/s)  LR: 2.276e-02  Data: 0.028 (0.054)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.447 (1.447)  Loss:   4.426 ( 4.426)  Acc@1:  26.465 ( 26.465)  Acc@5:  45.020 ( 45.020)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.034 ( 4.333)  Acc@1:  29.363 ( 26.376)  Acc@5:  49.410 ( 45.192)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-123.pth.tar', 26.555999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-126.pth.tar', 26.416000028686522)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-124.pth.tar', 26.388000001831056)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-125.pth.tar', 26.384000012207032)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-127.pth.tar', 26.376000020751952)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-121.pth.tar', 26.168000009765624)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-120.pth.tar', 26.114000014648436)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-119.pth.tar', 25.954000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-122.pth.tar', 25.9380000390625)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-115.pth.tar', 25.847999998779297)

Train: 128 [   0/78 (  1%)]  Loss: 1.88 (1.88)  Time: 1.821s,  562.43/s  (1.821s,  562.43/s)  LR: 2.086e-02  Data: 1.366 (1.366)
Train: 128 [  50/78 ( 65%)]  Loss: 1.83 (1.90)  Time: 0.406s, 2520.94/s  (0.435s, 2356.50/s)  LR: 2.086e-02  Data: 0.029 (0.054)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.416 (1.416)  Loss:   4.404 ( 4.404)  Acc@1:  26.953 ( 26.953)  Acc@5:  45.703 ( 45.703)
Test: [  48/48]  Time: 0.088 (0.325)  Loss:   4.044 ( 4.326)  Acc@1:  29.127 ( 26.402)  Acc@5:  48.821 ( 45.106)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-123.pth.tar', 26.555999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-126.pth.tar', 26.416000028686522)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-128.pth.tar', 26.401999982910155)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-124.pth.tar', 26.388000001831056)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-125.pth.tar', 26.384000012207032)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-127.pth.tar', 26.376000020751952)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-121.pth.tar', 26.168000009765624)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-120.pth.tar', 26.114000014648436)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-119.pth.tar', 25.954000001220702)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-122.pth.tar', 25.9380000390625)

Train: 129 [   0/78 (  1%)]  Loss: 1.89 (1.89)  Time: 1.659s,  617.34/s  (1.659s,  617.34/s)  LR: 1.903e-02  Data: 1.182 (1.182)
Train: 129 [  50/78 ( 65%)]  Loss: 1.97 (1.90)  Time: 0.404s, 2534.30/s  (0.428s, 2395.30/s)  LR: 1.903e-02  Data: 0.027 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.432 (1.432)  Loss:   4.411 ( 4.411)  Acc@1:  25.879 ( 25.879)  Acc@5:  45.898 ( 45.898)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   4.029 ( 4.322)  Acc@1:  30.071 ( 26.516)  Acc@5:  49.175 ( 45.464)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-123.pth.tar', 26.555999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-129.pth.tar', 26.516000004882812)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-126.pth.tar', 26.416000028686522)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-128.pth.tar', 26.401999982910155)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-124.pth.tar', 26.388000001831056)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-125.pth.tar', 26.384000012207032)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-127.pth.tar', 26.376000020751952)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-121.pth.tar', 26.168000009765624)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-120.pth.tar', 26.114000014648436)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-119.pth.tar', 25.954000001220702)

Train: 130 [   0/78 (  1%)]  Loss: 1.92 (1.92)  Time: 1.754s,  583.79/s  (1.754s,  583.79/s)  LR: 1.729e-02  Data: 1.169 (1.169)
Train: 130 [  50/78 ( 65%)]  Loss: 1.89 (1.88)  Time: 0.397s, 2580.17/s  (0.429s, 2387.37/s)  LR: 1.729e-02  Data: 0.029 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.436 (1.436)  Loss:   4.420 ( 4.420)  Acc@1:  26.758 ( 26.758)  Acc@5:  45.020 ( 45.020)
Test: [  48/48]  Time: 0.087 (0.323)  Loss:   4.046 ( 4.324)  Acc@1:  29.363 ( 26.436)  Acc@5:  48.703 ( 45.308)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-123.pth.tar', 26.555999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-129.pth.tar', 26.516000004882812)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-130.pth.tar', 26.436000020751955)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-126.pth.tar', 26.416000028686522)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-128.pth.tar', 26.401999982910155)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-124.pth.tar', 26.388000001831056)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-125.pth.tar', 26.384000012207032)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-127.pth.tar', 26.376000020751952)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-121.pth.tar', 26.168000009765624)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-120.pth.tar', 26.114000014648436)

Train: 131 [   0/78 (  1%)]  Loss: 1.92 (1.92)  Time: 1.799s,  569.25/s  (1.799s,  569.25/s)  LR: 1.563e-02  Data: 1.129 (1.129)
Train: 131 [  50/78 ( 65%)]  Loss: 1.96 (1.88)  Time: 0.393s, 2606.58/s  (0.421s, 2431.62/s)  LR: 1.563e-02  Data: 0.027 (0.049)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.417 (1.417)  Loss:   4.395 ( 4.395)  Acc@1:  26.953 ( 26.953)  Acc@5:  44.727 ( 44.727)
Test: [  48/48]  Time: 0.087 (0.324)  Loss:   4.021 ( 4.305)  Acc@1:  28.066 ( 26.694)  Acc@5:  48.939 ( 45.542)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-131.pth.tar', 26.694000006713868)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-123.pth.tar', 26.555999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-129.pth.tar', 26.516000004882812)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-130.pth.tar', 26.436000020751955)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-126.pth.tar', 26.416000028686522)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-128.pth.tar', 26.401999982910155)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-124.pth.tar', 26.388000001831056)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-125.pth.tar', 26.384000012207032)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-127.pth.tar', 26.376000020751952)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-121.pth.tar', 26.168000009765624)

Train: 132 [   0/78 (  1%)]  Loss: 1.86 (1.86)  Time: 1.635s,  626.15/s  (1.635s,  626.15/s)  LR: 1.404e-02  Data: 1.155 (1.155)
Train: 132 [  50/78 ( 65%)]  Loss: 1.93 (1.89)  Time: 0.395s, 2592.59/s  (0.427s, 2397.84/s)  LR: 1.404e-02  Data: 0.025 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.460 (1.460)  Loss:   4.408 ( 4.408)  Acc@1:  27.441 ( 27.441)  Acc@5:  45.605 ( 45.605)
Test: [  48/48]  Time: 0.088 (0.323)  Loss:   4.036 ( 4.321)  Acc@1:  28.656 ( 26.592)  Acc@5:  48.939 ( 45.158)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-131.pth.tar', 26.694000006713868)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-132.pth.tar', 26.59200000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-123.pth.tar', 26.555999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-129.pth.tar', 26.516000004882812)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-130.pth.tar', 26.436000020751955)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-126.pth.tar', 26.416000028686522)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-128.pth.tar', 26.401999982910155)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-124.pth.tar', 26.388000001831056)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-125.pth.tar', 26.384000012207032)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-127.pth.tar', 26.376000020751952)

Train: 133 [   0/78 (  1%)]  Loss: 1.83 (1.83)  Time: 2.027s,  505.18/s  (2.027s,  505.18/s)  LR: 1.254e-02  Data: 1.658 (1.658)
Train: 133 [  50/78 ( 65%)]  Loss: 1.83 (1.88)  Time: 0.404s, 2534.81/s  (0.434s, 2358.93/s)  LR: 1.254e-02  Data: 0.026 (0.059)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.423 (1.423)  Loss:   4.397 ( 4.397)  Acc@1:  27.051 ( 27.051)  Acc@5:  45.410 ( 45.410)
Test: [  48/48]  Time: 0.089 (0.322)  Loss:   4.024 ( 4.303)  Acc@1:  28.538 ( 26.766)  Acc@5:  49.410 ( 45.540)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-133.pth.tar', 26.765999985351563)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-131.pth.tar', 26.694000006713868)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-132.pth.tar', 26.59200000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-123.pth.tar', 26.555999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-129.pth.tar', 26.516000004882812)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-130.pth.tar', 26.436000020751955)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-126.pth.tar', 26.416000028686522)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-128.pth.tar', 26.401999982910155)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-124.pth.tar', 26.388000001831056)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-125.pth.tar', 26.384000012207032)

Train: 134 [   0/78 (  1%)]  Loss: 1.86 (1.86)  Time: 1.497s,  684.26/s  (1.497s,  684.26/s)  LR: 1.112e-02  Data: 1.080 (1.080)
Train: 134 [  50/78 ( 65%)]  Loss: 1.89 (1.87)  Time: 0.408s, 2507.29/s  (0.430s, 2379.75/s)  LR: 1.112e-02  Data: 0.027 (0.048)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.412 (1.412)  Loss:   4.415 ( 4.415)  Acc@1:  26.465 ( 26.465)  Acc@5:  44.336 ( 44.336)
Test: [  48/48]  Time: 0.087 (0.324)  Loss:   4.037 ( 4.317)  Acc@1:  28.184 ( 26.568)  Acc@5:  50.118 ( 45.210)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-133.pth.tar', 26.765999985351563)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-131.pth.tar', 26.694000006713868)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-132.pth.tar', 26.59200000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-134.pth.tar', 26.567999993286133)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-123.pth.tar', 26.555999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-129.pth.tar', 26.516000004882812)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-130.pth.tar', 26.436000020751955)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-126.pth.tar', 26.416000028686522)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-128.pth.tar', 26.401999982910155)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-124.pth.tar', 26.388000001831056)

Train: 135 [   0/78 (  1%)]  Loss: 1.91 (1.91)  Time: 1.598s,  640.66/s  (1.598s,  640.66/s)  LR: 9.789e-03  Data: 1.232 (1.232)
Train: 135 [  50/78 ( 65%)]  Loss: 1.90 (1.86)  Time: 0.397s, 2577.12/s  (0.420s, 2436.57/s)  LR: 9.789e-03  Data: 0.027 (0.051)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.420 (1.420)  Loss:   4.423 ( 4.423)  Acc@1:  27.148 ( 27.148)  Acc@5:  45.020 ( 45.020)
Test: [  48/48]  Time: 0.087 (0.323)  Loss:   4.030 ( 4.321)  Acc@1:  28.420 ( 26.674)  Acc@5:  50.354 ( 45.264)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-133.pth.tar', 26.765999985351563)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-131.pth.tar', 26.694000006713868)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-135.pth.tar', 26.673999998779298)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-132.pth.tar', 26.59200000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-134.pth.tar', 26.567999993286133)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-123.pth.tar', 26.555999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-129.pth.tar', 26.516000004882812)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-130.pth.tar', 26.436000020751955)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-126.pth.tar', 26.416000028686522)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-128.pth.tar', 26.401999982910155)

Train: 136 [   0/78 (  1%)]  Loss: 1.87 (1.87)  Time: 1.460s,  701.57/s  (1.460s,  701.57/s)  LR: 8.536e-03  Data: 1.084 (1.084)
Train: 136 [  50/78 ( 65%)]  Loss: 1.92 (1.87)  Time: 0.405s, 2531.32/s  (0.421s, 2430.92/s)  LR: 8.536e-03  Data: 0.026 (0.048)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.427 (1.427)  Loss:   4.408 ( 4.408)  Acc@1:  27.539 ( 27.539)  Acc@5:  45.508 ( 45.508)
Test: [  48/48]  Time: 0.088 (0.325)  Loss:   4.039 ( 4.313)  Acc@1:  28.774 ( 26.584)  Acc@5:  50.118 ( 45.460)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-133.pth.tar', 26.765999985351563)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-131.pth.tar', 26.694000006713868)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-135.pth.tar', 26.673999998779298)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-132.pth.tar', 26.59200000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-136.pth.tar', 26.584000023193358)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-134.pth.tar', 26.567999993286133)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-123.pth.tar', 26.555999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-129.pth.tar', 26.516000004882812)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-130.pth.tar', 26.436000020751955)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-126.pth.tar', 26.416000028686522)

Train: 137 [   0/78 (  1%)]  Loss: 1.84 (1.84)  Time: 1.606s,  637.57/s  (1.606s,  637.57/s)  LR: 7.367e-03  Data: 1.233 (1.233)
Train: 137 [  50/78 ( 65%)]  Loss: 1.90 (1.86)  Time: 0.409s, 2506.20/s  (0.431s, 2375.13/s)  LR: 7.367e-03  Data: 0.027 (0.051)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.409 (1.409)  Loss:   4.415 ( 4.415)  Acc@1:  27.441 ( 27.441)  Acc@5:  45.215 ( 45.215)
Test: [  48/48]  Time: 0.089 (0.323)  Loss:   4.028 ( 4.320)  Acc@1:  29.481 ( 26.570)  Acc@5:  50.118 ( 45.326)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-133.pth.tar', 26.765999985351563)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-131.pth.tar', 26.694000006713868)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-135.pth.tar', 26.673999998779298)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-132.pth.tar', 26.59200000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-136.pth.tar', 26.584000023193358)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-137.pth.tar', 26.570000007324218)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-134.pth.tar', 26.567999993286133)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-123.pth.tar', 26.555999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-129.pth.tar', 26.516000004882812)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-130.pth.tar', 26.436000020751955)

Train: 138 [   0/78 (  1%)]  Loss: 1.86 (1.86)  Time: 1.657s,  618.06/s  (1.657s,  618.06/s)  LR: 6.283e-03  Data: 1.283 (1.283)
Train: 138 [  50/78 ( 65%)]  Loss: 1.85 (1.86)  Time: 0.407s, 2515.22/s  (0.432s, 2369.91/s)  LR: 6.283e-03  Data: 0.027 (0.052)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.409 (1.409)  Loss:   4.415 ( 4.415)  Acc@1:  27.441 ( 27.441)  Acc@5:  45.215 ( 45.215)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.033 ( 4.319)  Acc@1:  29.127 ( 26.632)  Acc@5:  49.175 ( 45.218)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-133.pth.tar', 26.765999985351563)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-131.pth.tar', 26.694000006713868)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-135.pth.tar', 26.673999998779298)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-138.pth.tar', 26.631999982910155)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-132.pth.tar', 26.59200000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-136.pth.tar', 26.584000023193358)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-137.pth.tar', 26.570000007324218)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-134.pth.tar', 26.567999993286133)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-123.pth.tar', 26.555999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-129.pth.tar', 26.516000004882812)

Train: 139 [   0/78 (  1%)]  Loss: 1.89 (1.89)  Time: 1.553s,  659.42/s  (1.553s,  659.42/s)  LR: 5.284e-03  Data: 1.099 (1.099)
Train: 139 [  50/78 ( 65%)]  Loss: 1.80 (1.86)  Time: 0.405s, 2528.99/s  (0.430s, 2383.81/s)  LR: 5.284e-03  Data: 0.028 (0.048)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.429 (1.429)  Loss:   4.396 ( 4.396)  Acc@1:  27.441 ( 27.441)  Acc@5:  45.312 ( 45.312)
Test: [  48/48]  Time: 0.088 (0.325)  Loss:   4.010 ( 4.307)  Acc@1:  29.363 ( 26.742)  Acc@5:  50.118 ( 45.512)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-133.pth.tar', 26.765999985351563)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-139.pth.tar', 26.742000020751952)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-131.pth.tar', 26.694000006713868)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-135.pth.tar', 26.673999998779298)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-138.pth.tar', 26.631999982910155)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-132.pth.tar', 26.59200000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-136.pth.tar', 26.584000023193358)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-137.pth.tar', 26.570000007324218)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-134.pth.tar', 26.567999993286133)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-123.pth.tar', 26.555999996337892)

Train: 140 [   0/78 (  1%)]  Loss: 1.91 (1.91)  Time: 1.727s,  592.95/s  (1.727s,  592.95/s)  LR: 4.370e-03  Data: 1.211 (1.211)
Train: 140 [  50/78 ( 65%)]  Loss: 1.77 (1.86)  Time: 0.406s, 2524.15/s  (0.435s, 2355.63/s)  LR: 4.370e-03  Data: 0.027 (0.051)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.415 (1.415)  Loss:   4.404 ( 4.404)  Acc@1:  27.441 ( 27.441)  Acc@5:  45.508 ( 45.508)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.017 ( 4.305)  Acc@1:  29.363 ( 26.734)  Acc@5:  49.764 ( 45.496)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-133.pth.tar', 26.765999985351563)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-139.pth.tar', 26.742000020751952)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-140.pth.tar', 26.734000020751953)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-131.pth.tar', 26.694000006713868)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-135.pth.tar', 26.673999998779298)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-138.pth.tar', 26.631999982910155)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-132.pth.tar', 26.59200000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-136.pth.tar', 26.584000023193358)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-137.pth.tar', 26.570000007324218)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-134.pth.tar', 26.567999993286133)

Train: 141 [   0/78 (  1%)]  Loss: 1.91 (1.91)  Time: 1.587s,  645.23/s  (1.587s,  645.23/s)  LR: 3.543e-03  Data: 1.217 (1.217)
Train: 141 [  50/78 ( 65%)]  Loss: 1.88 (1.86)  Time: 0.403s, 2541.97/s  (0.426s, 2402.53/s)  LR: 3.543e-03  Data: 0.026 (0.051)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.409 (1.409)  Loss:   4.407 ( 4.407)  Acc@1:  27.344 ( 27.344)  Acc@5:  45.312 ( 45.312)
Test: [  48/48]  Time: 0.089 (0.322)  Loss:   4.025 ( 4.311)  Acc@1:  29.127 ( 26.720)  Acc@5:  49.882 ( 45.398)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-133.pth.tar', 26.765999985351563)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-139.pth.tar', 26.742000020751952)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-140.pth.tar', 26.734000020751953)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-141.pth.tar', 26.72000001525879)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-131.pth.tar', 26.694000006713868)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-135.pth.tar', 26.673999998779298)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-138.pth.tar', 26.631999982910155)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-132.pth.tar', 26.59200000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-136.pth.tar', 26.584000023193358)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-137.pth.tar', 26.570000007324218)

Train: 142 [   0/78 (  1%)]  Loss: 1.86 (1.86)  Time: 1.864s,  549.28/s  (1.864s,  549.28/s)  LR: 2.801e-03  Data: 1.192 (1.192)
Train: 142 [  50/78 ( 65%)]  Loss: 1.88 (1.85)  Time: 0.404s, 2536.12/s  (0.434s, 2357.31/s)  LR: 2.801e-03  Data: 0.027 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.418 (1.418)  Loss:   4.407 ( 4.407)  Acc@1:  27.539 ( 27.539)  Acc@5:  45.215 ( 45.215)
Test: [  48/48]  Time: 0.087 (0.324)  Loss:   4.034 ( 4.313)  Acc@1:  29.481 ( 26.674)  Acc@5:  50.472 ( 45.324)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-133.pth.tar', 26.765999985351563)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-139.pth.tar', 26.742000020751952)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-140.pth.tar', 26.734000020751953)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-141.pth.tar', 26.72000001525879)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-131.pth.tar', 26.694000006713868)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-142.pth.tar', 26.674000007324217)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-135.pth.tar', 26.673999998779298)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-138.pth.tar', 26.631999982910155)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-132.pth.tar', 26.59200000427246)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-136.pth.tar', 26.584000023193358)

Train: 143 [   0/78 (  1%)]  Loss: 1.79 (1.79)  Time: 1.653s,  619.57/s  (1.653s,  619.57/s)  LR: 2.146e-03  Data: 1.252 (1.252)
Train: 143 [  50/78 ( 65%)]  Loss: 1.87 (1.85)  Time: 0.403s, 2544.07/s  (0.424s, 2412.87/s)  LR: 2.146e-03  Data: 0.028 (0.051)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.413 (1.413)  Loss:   4.400 ( 4.400)  Acc@1:  27.734 ( 27.734)  Acc@5:  45.801 ( 45.801)
Test: [  48/48]  Time: 0.088 (0.322)  Loss:   4.015 ( 4.306)  Acc@1:  29.481 ( 26.726)  Acc@5:  50.354 ( 45.454)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-133.pth.tar', 26.765999985351563)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-139.pth.tar', 26.742000020751952)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-140.pth.tar', 26.734000020751953)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-143.pth.tar', 26.72600000732422)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-141.pth.tar', 26.72000001525879)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-131.pth.tar', 26.694000006713868)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-142.pth.tar', 26.674000007324217)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-135.pth.tar', 26.673999998779298)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-138.pth.tar', 26.631999982910155)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-132.pth.tar', 26.59200000427246)

Train: 144 [   0/78 (  1%)]  Loss: 1.85 (1.85)  Time: 1.653s,  619.58/s  (1.653s,  619.58/s)  LR: 1.577e-03  Data: 1.206 (1.206)
Train: 144 [  50/78 ( 65%)]  Loss: 1.81 (1.85)  Time: 0.411s, 2489.33/s  (0.433s, 2367.52/s)  LR: 1.577e-03  Data: 0.028 (0.051)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.458 (1.458)  Loss:   4.407 ( 4.407)  Acc@1:  27.539 ( 27.539)  Acc@5:  45.117 ( 45.117)
Test: [  48/48]  Time: 0.088 (0.327)  Loss:   4.033 ( 4.310)  Acc@1:  29.009 ( 26.780)  Acc@5:  49.882 ( 45.430)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-144.pth.tar', 26.779999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-133.pth.tar', 26.765999985351563)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-139.pth.tar', 26.742000020751952)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-140.pth.tar', 26.734000020751953)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-143.pth.tar', 26.72600000732422)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-141.pth.tar', 26.72000001525879)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-131.pth.tar', 26.694000006713868)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-142.pth.tar', 26.674000007324217)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-135.pth.tar', 26.673999998779298)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-138.pth.tar', 26.631999982910155)

Train: 145 [   0/78 (  1%)]  Loss: 1.88 (1.88)  Time: 1.782s,  574.68/s  (1.782s,  574.68/s)  LR: 1.096e-03  Data: 1.409 (1.409)
Train: 145 [  50/78 ( 65%)]  Loss: 1.78 (1.84)  Time: 0.406s, 2524.41/s  (0.433s, 2364.24/s)  LR: 1.096e-03  Data: 0.027 (0.055)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.455 (1.455)  Loss:   4.401 ( 4.401)  Acc@1:  27.246 ( 27.246)  Acc@5:  45.020 ( 45.020)
Test: [  48/48]  Time: 0.088 (0.326)  Loss:   4.017 ( 4.304)  Acc@1:  29.363 ( 26.752)  Acc@5:  49.882 ( 45.456)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-144.pth.tar', 26.779999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-133.pth.tar', 26.765999985351563)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-145.pth.tar', 26.752000020751954)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-139.pth.tar', 26.742000020751952)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-140.pth.tar', 26.734000020751953)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-143.pth.tar', 26.72600000732422)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-141.pth.tar', 26.72000001525879)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-131.pth.tar', 26.694000006713868)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-142.pth.tar', 26.674000007324217)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-135.pth.tar', 26.673999998779298)

Train: 146 [   0/78 (  1%)]  Loss: 1.84 (1.84)  Time: 1.769s,  578.91/s  (1.769s,  578.91/s)  LR: 7.014e-04  Data: 1.400 (1.400)
Train: 146 [  50/78 ( 65%)]  Loss: 1.83 (1.85)  Time: 0.402s, 2550.30/s  (0.428s, 2390.27/s)  LR: 7.014e-04  Data: 0.028 (0.054)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.416 (1.416)  Loss:   4.399 ( 4.399)  Acc@1:  27.441 ( 27.441)  Acc@5:  45.312 ( 45.312)
Test: [  48/48]  Time: 0.089 (0.326)  Loss:   4.015 ( 4.302)  Acc@1:  29.363 ( 26.700)  Acc@5:  49.764 ( 45.542)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-144.pth.tar', 26.779999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-133.pth.tar', 26.765999985351563)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-145.pth.tar', 26.752000020751954)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-139.pth.tar', 26.742000020751952)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-140.pth.tar', 26.734000020751953)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-143.pth.tar', 26.72600000732422)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-141.pth.tar', 26.72000001525879)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-146.pth.tar', 26.700000020751954)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-131.pth.tar', 26.694000006713868)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-142.pth.tar', 26.674000007324217)

Train: 147 [   0/78 (  1%)]  Loss: 1.91 (1.91)  Time: 1.744s,  587.02/s  (1.744s,  587.02/s)  LR: 3.947e-04  Data: 1.148 (1.148)
Train: 147 [  50/78 ( 65%)]  Loss: 1.85 (1.86)  Time: 0.411s, 2494.39/s  (0.434s, 2357.38/s)  LR: 3.947e-04  Data: 0.033 (0.050)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.449 (1.449)  Loss:   4.401 ( 4.401)  Acc@1:  27.246 ( 27.246)  Acc@5:  45.605 ( 45.605)
Test: [  48/48]  Time: 0.087 (0.322)  Loss:   4.021 ( 4.306)  Acc@1:  29.717 ( 26.760)  Acc@5:  50.000 ( 45.486)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-144.pth.tar', 26.779999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-133.pth.tar', 26.765999985351563)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-147.pth.tar', 26.760000045166016)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-145.pth.tar', 26.752000020751954)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-139.pth.tar', 26.742000020751952)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-140.pth.tar', 26.734000020751953)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-143.pth.tar', 26.72600000732422)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-141.pth.tar', 26.72000001525879)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-146.pth.tar', 26.700000020751954)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-131.pth.tar', 26.694000006713868)

Train: 148 [   0/78 (  1%)]  Loss: 1.76 (1.76)  Time: 1.553s,  659.40/s  (1.553s,  659.40/s)  LR: 1.754e-04  Data: 1.024 (1.024)
Train: 148 [  50/78 ( 65%)]  Loss: 1.78 (1.85)  Time: 0.401s, 2553.98/s  (0.423s, 2422.58/s)  LR: 1.754e-04  Data: 0.027 (0.047)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.432 (1.432)  Loss:   4.396 ( 4.396)  Acc@1:  27.246 ( 27.246)  Acc@5:  45.605 ( 45.605)
Test: [  48/48]  Time: 0.088 (0.325)  Loss:   4.019 ( 4.304)  Acc@1:  29.599 ( 26.722)  Acc@5:  50.118 ( 45.542)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-144.pth.tar', 26.779999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-133.pth.tar', 26.765999985351563)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-147.pth.tar', 26.760000045166016)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-145.pth.tar', 26.752000020751954)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-139.pth.tar', 26.742000020751952)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-140.pth.tar', 26.734000020751953)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-143.pth.tar', 26.72600000732422)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-148.pth.tar', 26.722000026245116)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-141.pth.tar', 26.72000001525879)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-146.pth.tar', 26.700000020751954)

Train: 149 [   0/78 (  1%)]  Loss: 1.92 (1.92)  Time: 1.777s,  576.30/s  (1.777s,  576.30/s)  LR: 4.386e-05  Data: 1.404 (1.404)
Train: 149 [  50/78 ( 65%)]  Loss: 1.84 (1.85)  Time: 0.409s, 2505.82/s  (0.433s, 2363.72/s)  LR: 4.386e-05  Data: 0.028 (0.054)
Distributing BatchNorm running means and vars
Test: [   0/48]  Time: 1.443 (1.443)  Loss:   4.403 ( 4.403)  Acc@1:  27.148 ( 27.148)  Acc@5:  45.312 ( 45.312)
Test: [  48/48]  Time: 0.088 (0.324)  Loss:   4.021 ( 4.306)  Acc@1:  29.599 ( 26.706)  Acc@5:  49.646 ( 45.504)
Current checkpoints:
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-144.pth.tar', 26.779999996337892)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-133.pth.tar', 26.765999985351563)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-147.pth.tar', 26.760000045166016)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-145.pth.tar', 26.752000020751954)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-139.pth.tar', 26.742000020751952)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-140.pth.tar', 26.734000020751953)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-143.pth.tar', 26.72600000732422)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-148.pth.tar', 26.722000026245116)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-141.pth.tar', 26.72000001525879)
 ('./output/train/ImageNetTraining20.0-frac-1over16/checkpoint-149.pth.tar', 26.705999993896484)

*** Best metric: 26.779999996337892 (epoch 144)
--result
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