Namespace(batch_norm=False, batch_size=128, crop_ratio=0.875, data_dir='~/.mxnet/datasets/imagenet', dtype='float16', input_size=224, label_smoothing=True, last_gamma=True, log_interval=50, logging_file='resnext101_64x4d_best.log', lr=0.4, lr_decay=0.1, lr_decay_epoch='40,60', lr_decay_period=0, lr_mode='cosine', mixup=True, mixup_alpha=0.2, mixup_off_epoch=0, mode='hybrid', model='resnext101_64x4d', momentum=0.9, no_wd=True, num_epochs=200, num_gpus=8, num_workers=90, rec_train='/media/ramdisk/rec/train.rec', rec_train_idx='/media/ramdisk/rec/train.idx', rec_val='/media/ramdisk/rec/val.rec', rec_val_idx='/media/ramdisk/rec/val.idx', resume_epoch=0, resume_params='', resume_states='', save_dir='params_resnext101_64x4d_best', save_frequency=10, use_pretrained=False, use_rec=True, use_se=False, warmup_epochs=5, warmup_lr=0.0, wd=0.0001)
Epoch[0] Batch [49]	Speed: 670.297021 samples/sec	rmse=0.025786	lr=0.003133
Epoch[0] Batch [99]	Speed: 1026.391211 samples/sec	rmse=0.026015	lr=0.006331
Epoch[0] Batch [149]	Speed: 990.764129 samples/sec	rmse=0.026222	lr=0.009528
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Epoch[0] Batch [1099]	Speed: 1050.042162 samples/sec	rmse=0.026188	lr=0.070280
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Epoch[0] Batch [1249]	Speed: 1052.233658 samples/sec	rmse=0.026158	lr=0.079872
[Epoch 0] training: rmse=0.026157
[Epoch 0] speed: 1016 samples/sec	time cost: 1273.899175
[Epoch 0] validation: err-top1=0.920281 err-top5=0.787349
Epoch[1] Batch [49]	Speed: 1058.356287 samples/sec	rmse=0.025779	lr=0.083133
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Epoch[1] Batch [1099]	Speed: 1045.909569 samples/sec	rmse=0.025652	lr=0.150280
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Epoch[1] Batch [1199]	Speed: 1041.235685 samples/sec	rmse=0.025591	lr=0.156675
Epoch[1] Batch [1249]	Speed: 1052.412893 samples/sec	rmse=0.025556	lr=0.159872
[Epoch 1] training: rmse=0.025557
[Epoch 1] speed: 1049 samples/sec	time cost: 1233.788260
[Epoch 1] validation: err-top1=0.763931 err-top5=0.523119
Epoch[2] Batch [49]	Speed: 1062.070487 samples/sec	rmse=0.024868	lr=0.163133
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Epoch[2] Batch [1099]	Speed: 1049.275377 samples/sec	rmse=0.024393	lr=0.230280
Epoch[2] Batch [1149]	Speed: 1053.597586 samples/sec	rmse=0.024356	lr=0.233477
Epoch[2] Batch [1199]	Speed: 1050.378543 samples/sec	rmse=0.024324	lr=0.236675
Epoch[2] Batch [1249]	Speed: 1055.739502 samples/sec	rmse=0.024306	lr=0.239872
[Epoch 2] training: rmse=0.024307
[Epoch 2] speed: 1050 samples/sec	time cost: 1232.411539
[Epoch 2] validation: err-top1=0.679668 err-top5=0.421895
Epoch[3] Batch [49]	Speed: 1066.299046 samples/sec	rmse=0.023683	lr=0.243133
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Epoch[3] Batch [1099]	Speed: 1050.318904 samples/sec	rmse=0.023508	lr=0.310280
Epoch[3] Batch [1149]	Speed: 1053.388225 samples/sec	rmse=0.023512	lr=0.313477
Epoch[3] Batch [1199]	Speed: 1051.117153 samples/sec	rmse=0.023524	lr=0.316675
Epoch[3] Batch [1249]	Speed: 1054.525092 samples/sec	rmse=0.023506	lr=0.319872
[Epoch 3] training: rmse=0.023504
[Epoch 3] speed: 1049 samples/sec	time cost: 1233.397479
[Epoch 3] validation: err-top1=0.596500 err-top5=0.330377
Epoch[4] Batch [49]	Speed: 1058.566772 samples/sec	rmse=0.023178	lr=0.323133
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Epoch[4] Batch [1249]	Speed: 1051.666827 samples/sec	rmse=0.022861	lr=0.399872
[Epoch 4] training: rmse=0.022862
[Epoch 4] speed: 1046 samples/sec	time cost: 1236.332787
[Epoch 4] validation: err-top1=0.561902 err-top5=0.295719
Epoch[5] Batch [49]	Speed: 1053.910387 samples/sec	rmse=0.022543	lr=0.400000
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Epoch[5] Batch [1249]	Speed: 1050.190519 samples/sec	rmse=0.022431	lr=0.399974
[Epoch 5] training: rmse=0.022431
[Epoch 5] speed: 1048 samples/sec	time cost: 1233.628465
[Epoch 5] validation: err-top1=0.513814 err-top5=0.249471
Epoch[6] Batch [49]	Speed: 1060.099871 samples/sec	rmse=0.022132	lr=0.399972
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Epoch[6] Batch [1049]	Speed: 1051.243772 samples/sec	rmse=0.022037	lr=0.399912
Epoch[6] Batch [1099]	Speed: 1048.212637 samples/sec	rmse=0.022017	lr=0.399908
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Epoch[6] Batch [1249]	Speed: 1049.935816 samples/sec	rmse=0.021983	lr=0.399896
[Epoch 6] training: rmse=0.021982
[Epoch 6] speed: 1048 samples/sec	time cost: 1234.350694
[Epoch 6] validation: err-top1=0.510802 err-top5=0.251794
Epoch[7] Batch [49]	Speed: 1061.853745 samples/sec	rmse=0.021656	lr=0.399892
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Epoch[7] Batch [749]	Speed: 1049.580404 samples/sec	rmse=0.021696	lr=0.399825
Epoch[7] Batch [799]	Speed: 1048.031336 samples/sec	rmse=0.021709	lr=0.399819
Epoch[7] Batch [849]	Speed: 1029.531443 samples/sec	rmse=0.021714	lr=0.399814
Epoch[7] Batch [899]	Speed: 1048.673356 samples/sec	rmse=0.021712	lr=0.399808
Epoch[7] Batch [949]	Speed: 1050.444041 samples/sec	rmse=0.021697	lr=0.399803
Epoch[7] Batch [999]	Speed: 1048.329074 samples/sec	rmse=0.021714	lr=0.399797
Epoch[7] Batch [1049]	Speed: 1050.681231 samples/sec	rmse=0.021699	lr=0.399791
Epoch[7] Batch [1099]	Speed: 1049.568273 samples/sec	rmse=0.021682	lr=0.399785
Epoch[7] Batch [1149]	Speed: 1051.875963 samples/sec	rmse=0.021676	lr=0.399779
Epoch[7] Batch [1199]	Speed: 1049.114055 samples/sec	rmse=0.021679	lr=0.399773
Epoch[7] Batch [1249]	Speed: 1052.521862 samples/sec	rmse=0.021685	lr=0.399767
[Epoch 7] training: rmse=0.021684
[Epoch 7] speed: 1047 samples/sec	time cost: 1237.194004
[Epoch 7] validation: err-top1=0.466677 err-top5=0.214525
Epoch[8] Batch [49]	Speed: 1062.352623 samples/sec	rmse=0.021529	lr=0.399760
Epoch[8] Batch [99]	Speed: 1049.898595 samples/sec	rmse=0.021408	lr=0.399754
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Epoch[8] Batch [749]	Speed: 1040.124622 samples/sec	rmse=0.021576	lr=0.399664
Epoch[8] Batch [799]	Speed: 1042.860954 samples/sec	rmse=0.021577	lr=0.399656
Epoch[8] Batch [849]	Speed: 1043.410496 samples/sec	rmse=0.021588	lr=0.399649
Epoch[8] Batch [899]	Speed: 1049.383698 samples/sec	rmse=0.021588	lr=0.399641
Epoch[8] Batch [949]	Speed: 1047.783378 samples/sec	rmse=0.021597	lr=0.399633
Epoch[8] Batch [999]	Speed: 1040.194460 samples/sec	rmse=0.021588	lr=0.399626
Epoch[8] Batch [1049]	Speed: 1046.024706 samples/sec	rmse=0.021588	lr=0.399618
Epoch[8] Batch [1099]	Speed: 1048.007139 samples/sec	rmse=0.021577	lr=0.399610
Epoch[8] Batch [1149]	Speed: 1047.063224 samples/sec	rmse=0.021579	lr=0.399602
Epoch[8] Batch [1199]	Speed: 1045.737451 samples/sec	rmse=0.021581	lr=0.399593
Epoch[8] Batch [1249]	Speed: 1053.411803 samples/sec	rmse=0.021567	lr=0.399585
[Epoch 8] training: rmse=0.021567
[Epoch 8] speed: 1045 samples/sec	time cost: 1237.959727
[Epoch 8] validation: err-top1=0.473992 err-top5=0.223633
Epoch[9] Batch [49]	Speed: 1060.586594 samples/sec	rmse=0.021069	lr=0.399577
Epoch[9] Batch [99]	Speed: 1050.137906 samples/sec	rmse=0.021173	lr=0.399568
Epoch[9] Batch [149]	Speed: 1050.320912 samples/sec	rmse=0.021259	lr=0.399560
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Epoch[9] Batch [399]	Speed: 1049.747786 samples/sec	rmse=0.021271	lr=0.399516
Epoch[9] Batch [449]	Speed: 1046.627428 samples/sec	rmse=0.021301	lr=0.399507
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Epoch[9] Batch [749]	Speed: 1035.438904 samples/sec	rmse=0.021303	lr=0.399451
Epoch[9] Batch [799]	Speed: 1045.234455 samples/sec	rmse=0.021314	lr=0.399442
Epoch[9] Batch [849]	Speed: 1039.982303 samples/sec	rmse=0.021315	lr=0.399432
Epoch[9] Batch [899]	Speed: 1042.725799 samples/sec	rmse=0.021322	lr=0.399422
Epoch[9] Batch [949]	Speed: 1040.298137 samples/sec	rmse=0.021310	lr=0.399413
Epoch[9] Batch [999]	Speed: 1044.047952 samples/sec	rmse=0.021319	lr=0.399403
Epoch[9] Batch [1049]	Speed: 1045.796576 samples/sec	rmse=0.021330	lr=0.399393
Epoch[9] Batch [1099]	Speed: 1045.276825 samples/sec	rmse=0.021329	lr=0.399383
Epoch[9] Batch [1149]	Speed: 1042.580404 samples/sec	rmse=0.021327	lr=0.399372
Epoch[9] Batch [1199]	Speed: 1046.064643 samples/sec	rmse=0.021320	lr=0.399362
Epoch[9] Batch [1249]	Speed: 1051.242702 samples/sec	rmse=0.021322	lr=0.399352
[Epoch 9] training: rmse=0.021320
[Epoch 9] speed: 1045 samples/sec	time cost: 1238.382663
[Epoch 9] validation: err-top1=0.446648 err-top5=0.199219
Epoch[10] Batch [49]	Speed: 1054.277117 samples/sec	rmse=0.020870	lr=0.399341
Epoch[10] Batch [99]	Speed: 1048.817494 samples/sec	rmse=0.020781	lr=0.399331
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Epoch[10] Batch [449]	Speed: 1047.238506 samples/sec	rmse=0.021067	lr=0.399255
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Epoch[10] Batch [549]	Speed: 1047.098630 samples/sec	rmse=0.021081	lr=0.399233
Epoch[10] Batch [599]	Speed: 1046.958771 samples/sec	rmse=0.021101	lr=0.399221
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Epoch[10] Batch [699]	Speed: 1043.724247 samples/sec	rmse=0.021091	lr=0.399199
Epoch[10] Batch [749]	Speed: 1042.573930 samples/sec	rmse=0.021080	lr=0.399187
Epoch[10] Batch [799]	Speed: 1045.699917 samples/sec	rmse=0.021096	lr=0.399175
Epoch[10] Batch [849]	Speed: 1043.774535 samples/sec	rmse=0.021090	lr=0.399164
Epoch[10] Batch [899]	Speed: 1035.483654 samples/sec	rmse=0.021087	lr=0.399152
Epoch[10] Batch [949]	Speed: 1048.438357 samples/sec	rmse=0.021084	lr=0.399140
Epoch[10] Batch [999]	Speed: 1042.279456 samples/sec	rmse=0.021099	lr=0.399128
Epoch[10] Batch [1049]	Speed: 1048.142490 samples/sec	rmse=0.021102	lr=0.399116
Epoch[10] Batch [1099]	Speed: 1047.058409 samples/sec	rmse=0.021103	lr=0.399104
Epoch[10] Batch [1149]	Speed: 1045.329797 samples/sec	rmse=0.021098	lr=0.399092
Epoch[10] Batch [1199]	Speed: 1043.528699 samples/sec	rmse=0.021106	lr=0.399079
Epoch[10] Batch [1249]	Speed: 1042.102250 samples/sec	rmse=0.021109	lr=0.399067
[Epoch 10] training: rmse=0.021108
[Epoch 10] speed: 1045 samples/sec	time cost: 1238.647661
[Epoch 10] validation: err-top1=0.480827 err-top5=0.226463
Epoch[11] Batch [49]	Speed: 1049.206625 samples/sec	rmse=0.021177	lr=0.399054
Epoch[11] Batch [99]	Speed: 1043.540849 samples/sec	rmse=0.021096	lr=0.399042
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Epoch[11] Batch [299]	Speed: 1041.926803 samples/sec	rmse=0.021044	lr=0.398991
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Epoch[11] Batch [399]	Speed: 1043.725145 samples/sec	rmse=0.021055	lr=0.398965
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Epoch[11] Batch [699]	Speed: 1046.373598 samples/sec	rmse=0.021043	lr=0.398885
Epoch[11] Batch [749]	Speed: 1045.383191 samples/sec	rmse=0.021043	lr=0.398871
Epoch[11] Batch [799]	Speed: 1043.870499 samples/sec	rmse=0.021059	lr=0.398857
Epoch[11] Batch [849]	Speed: 1045.272668 samples/sec	rmse=0.021066	lr=0.398843
Epoch[11] Batch [899]	Speed: 1045.428841 samples/sec	rmse=0.021071	lr=0.398830
Epoch[11] Batch [949]	Speed: 1042.042773 samples/sec	rmse=0.021079	lr=0.398816
Epoch[11] Batch [999]	Speed: 1050.164040 samples/sec	rmse=0.021067	lr=0.398802
Epoch[11] Batch [1049]	Speed: 1043.295919 samples/sec	rmse=0.021068	lr=0.398787
Epoch[11] Batch [1099]	Speed: 1041.630542 samples/sec	rmse=0.021058	lr=0.398773
Epoch[11] Batch [1149]	Speed: 1041.472052 samples/sec	rmse=0.021062	lr=0.398759
Epoch[11] Batch [1199]	Speed: 1039.998128 samples/sec	rmse=0.021059	lr=0.398745
Epoch[11] Batch [1249]	Speed: 1040.504812 samples/sec	rmse=0.021060	lr=0.398730
[Epoch 11] training: rmse=0.021059
[Epoch 11] speed: 1043 samples/sec	time cost: 1240.953599
[Epoch 11] validation: err-top1=0.433818 err-top5=0.189901
Epoch[12] Batch [49]	Speed: 1049.228315 samples/sec	rmse=0.020778	lr=0.398715
Epoch[12] Batch [99]	Speed: 1040.643386 samples/sec	rmse=0.020796	lr=0.398701
Epoch[12] Batch [149]	Speed: 1042.510452 samples/sec	rmse=0.020846	lr=0.398686
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Epoch[12] Batch [399]	Speed: 1041.371327 samples/sec	rmse=0.020857	lr=0.398611
Epoch[12] Batch [449]	Speed: 1040.302033 samples/sec	rmse=0.020838	lr=0.398596
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Epoch[12] Batch [649]	Speed: 1040.415979 samples/sec	rmse=0.020844	lr=0.398534
Epoch[12] Batch [699]	Speed: 1043.583629 samples/sec	rmse=0.020856	lr=0.398519
Epoch[12] Batch [749]	Speed: 1035.528123 samples/sec	rmse=0.020871	lr=0.398503
Epoch[12] Batch [799]	Speed: 1043.625343 samples/sec	rmse=0.020886	lr=0.398487
Epoch[12] Batch [849]	Speed: 1042.025213 samples/sec	rmse=0.020895	lr=0.398472
Epoch[12] Batch [899]	Speed: 1045.250358 samples/sec	rmse=0.020911	lr=0.398456
Epoch[12] Batch [949]	Speed: 1045.185313 samples/sec	rmse=0.020912	lr=0.398440
Epoch[12] Batch [999]	Speed: 1045.727653 samples/sec	rmse=0.020900	lr=0.398424
Epoch[12] Batch [1049]	Speed: 1045.983631 samples/sec	rmse=0.020904	lr=0.398407
Epoch[12] Batch [1099]	Speed: 1046.230268 samples/sec	rmse=0.020913	lr=0.398391
Epoch[12] Batch [1149]	Speed: 1045.955020 samples/sec	rmse=0.020912	lr=0.398375
Epoch[12] Batch [1199]	Speed: 1044.119212 samples/sec	rmse=0.020917	lr=0.398358
Epoch[12] Batch [1249]	Speed: 1049.113922 samples/sec	rmse=0.020913	lr=0.398342
[Epoch 12] training: rmse=0.020913
[Epoch 12] speed: 1042 samples/sec	time cost: 1241.544562
[Epoch 12] validation: err-top1=0.435128 err-top5=0.190270
Epoch[13] Batch [49]	Speed: 1059.121442 samples/sec	rmse=0.020538	lr=0.398325
Epoch[13] Batch [99]	Speed: 1043.309939 samples/sec	rmse=0.020529	lr=0.398308
Epoch[13] Batch [149]	Speed: 1037.359956 samples/sec	rmse=0.020640	lr=0.398291
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Epoch[13] Batch [399]	Speed: 1040.570875 samples/sec	rmse=0.020688	lr=0.398206
Epoch[13] Batch [449]	Speed: 1044.348195 samples/sec	rmse=0.020692	lr=0.398189
Epoch[13] Batch [499]	Speed: 1043.388814 samples/sec	rmse=0.020713	lr=0.398172
Epoch[13] Batch [549]	Speed: 1037.169756 samples/sec	rmse=0.020721	lr=0.398154
Epoch[13] Batch [599]	Speed: 1041.024021 samples/sec	rmse=0.020729	lr=0.398137
Epoch[13] Batch [649]	Speed: 1046.431164 samples/sec	rmse=0.020735	lr=0.398119
Epoch[13] Batch [699]	Speed: 1041.983769 samples/sec	rmse=0.020746	lr=0.398102
Epoch[13] Batch [749]	Speed: 1034.083387 samples/sec	rmse=0.020768	lr=0.398084
Epoch[13] Batch [799]	Speed: 1044.196823 samples/sec	rmse=0.020770	lr=0.398066
Epoch[13] Batch [849]	Speed: 1043.707928 samples/sec	rmse=0.020776	lr=0.398048
Epoch[13] Batch [899]	Speed: 1045.861489 samples/sec	rmse=0.020776	lr=0.398030
Epoch[13] Batch [949]	Speed: 1042.169270 samples/sec	rmse=0.020779	lr=0.398012
Epoch[13] Batch [999]	Speed: 1043.626535 samples/sec	rmse=0.020789	lr=0.397994
Epoch[13] Batch [1049]	Speed: 1048.945221 samples/sec	rmse=0.020789	lr=0.397976
Epoch[13] Batch [1099]	Speed: 1040.546099 samples/sec	rmse=0.020809	lr=0.397957
Epoch[13] Batch [1149]	Speed: 1041.922420 samples/sec	rmse=0.020809	lr=0.397939
Epoch[13] Batch [1199]	Speed: 1042.180326 samples/sec	rmse=0.020809	lr=0.397921
Epoch[13] Batch [1249]	Speed: 1046.018627 samples/sec	rmse=0.020812	lr=0.397902
[Epoch 13] training: rmse=0.020811
[Epoch 13] speed: 1042 samples/sec	time cost: 1242.260804
[Epoch 13] validation: err-top1=0.431302 err-top5=0.188457
Epoch[14] Batch [49]	Speed: 1057.657154 samples/sec	rmse=0.020624	lr=0.397883
Epoch[14] Batch [99]	Speed: 1045.781496 samples/sec	rmse=0.020638	lr=0.397864
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Epoch[14] Batch [399]	Speed: 1044.871487 samples/sec	rmse=0.020729	lr=0.397750
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Epoch[14] Batch [849]	Speed: 1043.410360 samples/sec	rmse=0.020744	lr=0.397573
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Epoch[14] Batch [1099]	Speed: 1040.512914 samples/sec	rmse=0.020725	lr=0.397472
Epoch[14] Batch [1149]	Speed: 1045.137508 samples/sec	rmse=0.020726	lr=0.397452
Epoch[14] Batch [1199]	Speed: 1044.253311 samples/sec	rmse=0.020718	lr=0.397431
Epoch[14] Batch [1249]	Speed: 1035.786914 samples/sec	rmse=0.020710	lr=0.397411
[Epoch 14] training: rmse=0.020710
[Epoch 14] speed: 1042 samples/sec	time cost: 1242.545101
[Epoch 14] validation: err-top1=0.400331 err-top5=0.164919
Epoch[15] Batch [49]	Speed: 1053.783067 samples/sec	rmse=0.020601	lr=0.397390
Epoch[15] Batch [99]	Speed: 1041.124608 samples/sec	rmse=0.020478	lr=0.397369
Epoch[15] Batch [149]	Speed: 1044.317474 samples/sec	rmse=0.020522	lr=0.397348
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Epoch[15] Batch [399]	Speed: 1043.663053 samples/sec	rmse=0.020639	lr=0.397243
Epoch[15] Batch [449]	Speed: 1037.788117 samples/sec	rmse=0.020638	lr=0.397221
Epoch[15] Batch [499]	Speed: 1047.602676 samples/sec	rmse=0.020633	lr=0.397200
Epoch[15] Batch [549]	Speed: 1045.619338 samples/sec	rmse=0.020630	lr=0.397178
Epoch[15] Batch [599]	Speed: 1045.561174 samples/sec	rmse=0.020626	lr=0.397157
Epoch[15] Batch [649]	Speed: 1045.184590 samples/sec	rmse=0.020647	lr=0.397135
Epoch[15] Batch [699]	Speed: 1050.081123 samples/sec	rmse=0.020631	lr=0.397113
Epoch[15] Batch [749]	Speed: 1047.675792 samples/sec	rmse=0.020643	lr=0.397091
Epoch[15] Batch [799]	Speed: 1047.424350 samples/sec	rmse=0.020641	lr=0.397069
Epoch[15] Batch [849]	Speed: 1043.599645 samples/sec	rmse=0.020648	lr=0.397047
Epoch[15] Batch [899]	Speed: 1046.565562 samples/sec	rmse=0.020660	lr=0.397025
Epoch[15] Batch [949]	Speed: 1047.448157 samples/sec	rmse=0.020650	lr=0.397003
Epoch[15] Batch [999]	Speed: 1045.395822 samples/sec	rmse=0.020656	lr=0.396981
Epoch[15] Batch [1049]	Speed: 1045.922936 samples/sec	rmse=0.020658	lr=0.396959
Epoch[15] Batch [1099]	Speed: 1039.179559 samples/sec	rmse=0.020655	lr=0.396936
Epoch[15] Batch [1149]	Speed: 1041.343907 samples/sec	rmse=0.020649	lr=0.396914
Epoch[15] Batch [1199]	Speed: 1046.162180 samples/sec	rmse=0.020647	lr=0.396891
Epoch[15] Batch [1249]	Speed: 1044.506794 samples/sec	rmse=0.020642	lr=0.396868
[Epoch 15] training: rmse=0.020643
[Epoch 15] speed: 1044 samples/sec	time cost: 1239.623528
[Epoch 15] validation: err-top1=0.408203 err-top5=0.171716
Epoch[16] Batch [49]	Speed: 1049.292665 samples/sec	rmse=0.020533	lr=0.396845
Epoch[16] Batch [99]	Speed: 1045.912661 samples/sec	rmse=0.020447	lr=0.396822
Epoch[16] Batch [149]	Speed: 1041.537793 samples/sec	rmse=0.020381	lr=0.396800
Epoch[16] Batch [199]	Speed: 1049.762524 samples/sec	rmse=0.020412	lr=0.396777
Epoch[16] Batch [249]	Speed: 1038.802436 samples/sec	rmse=0.020468	lr=0.396754
Epoch[16] Batch [299]	Speed: 1045.839567 samples/sec	rmse=0.020496	lr=0.396730
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Epoch[16] Batch [399]	Speed: 1043.801038 samples/sec	rmse=0.020521	lr=0.396684
Epoch[16] Batch [449]	Speed: 1043.544931 samples/sec	rmse=0.020537	lr=0.396660
Epoch[16] Batch [499]	Speed: 1046.047507 samples/sec	rmse=0.020511	lr=0.396637
Epoch[16] Batch [549]	Speed: 1045.306538 samples/sec	rmse=0.020517	lr=0.396613
Epoch[16] Batch [599]	Speed: 1043.124913 samples/sec	rmse=0.020511	lr=0.396590
Epoch[16] Batch [649]	Speed: 1045.628624 samples/sec	rmse=0.020497	lr=0.396566
Epoch[16] Batch [699]	Speed: 1043.872625 samples/sec	rmse=0.020525	lr=0.396542
Epoch[16] Batch [749]	Speed: 1044.946739 samples/sec	rmse=0.020526	lr=0.396518
Epoch[16] Batch [799]	Speed: 1046.739157 samples/sec	rmse=0.020528	lr=0.396494
Epoch[16] Batch [849]	Speed: 1045.481645 samples/sec	rmse=0.020528	lr=0.396470
Epoch[16] Batch [899]	Speed: 1047.588024 samples/sec	rmse=0.020524	lr=0.396446
Epoch[16] Batch [949]	Speed: 1043.778391 samples/sec	rmse=0.020540	lr=0.396422
Epoch[16] Batch [999]	Speed: 1037.862858 samples/sec	rmse=0.020556	lr=0.396398
Epoch[16] Batch [1049]	Speed: 1041.173112 samples/sec	rmse=0.020560	lr=0.396373
Epoch[16] Batch [1099]	Speed: 1041.958379 samples/sec	rmse=0.020572	lr=0.396349
Epoch[16] Batch [1149]	Speed: 1046.633406 samples/sec	rmse=0.020573	lr=0.396324
Epoch[16] Batch [1199]	Speed: 1046.336340 samples/sec	rmse=0.020578	lr=0.396300
Epoch[16] Batch [1249]	Speed: 1048.807296 samples/sec	rmse=0.020583	lr=0.396275
[Epoch 16] training: rmse=0.020582
[Epoch 16] speed: 1043 samples/sec	time cost: 1240.284251
[Epoch 16] validation: err-top1=0.425044 err-top5=0.182757
Epoch[17] Batch [49]	Speed: 1057.805419 samples/sec	rmse=0.020268	lr=0.396250
Epoch[17] Batch [99]	Speed: 1046.122852 samples/sec	rmse=0.020407	lr=0.396225
Epoch[17] Batch [149]	Speed: 1042.316260 samples/sec	rmse=0.020497	lr=0.396200
Epoch[17] Batch [199]	Speed: 1044.770485 samples/sec	rmse=0.020435	lr=0.396175
Epoch[17] Batch [249]	Speed: 1043.963029 samples/sec	rmse=0.020487	lr=0.396150
Epoch[17] Batch [299]	Speed: 1044.337712 samples/sec	rmse=0.020487	lr=0.396125
Epoch[17] Batch [349]	Speed: 1039.942044 samples/sec	rmse=0.020489	lr=0.396099
Epoch[17] Batch [399]	Speed: 1042.890434 samples/sec	rmse=0.020491	lr=0.396074
Epoch[17] Batch [449]	Speed: 1040.686166 samples/sec	rmse=0.020481	lr=0.396049
Epoch[17] Batch [499]	Speed: 1043.027354 samples/sec	rmse=0.020485	lr=0.396023
Epoch[17] Batch [549]	Speed: 1040.324379 samples/sec	rmse=0.020489	lr=0.395997
Epoch[17] Batch [599]	Speed: 1045.638725 samples/sec	rmse=0.020508	lr=0.395972
Epoch[17] Batch [649]	Speed: 1046.848577 samples/sec	rmse=0.020515	lr=0.395946
Epoch[17] Batch [699]	Speed: 1044.602334 samples/sec	rmse=0.020499	lr=0.395920
Epoch[17] Batch [749]	Speed: 1040.233137 samples/sec	rmse=0.020507	lr=0.395894
Epoch[17] Batch [799]	Speed: 1033.052609 samples/sec	rmse=0.020511	lr=0.395868
Epoch[17] Batch [849]	Speed: 1043.513330 samples/sec	rmse=0.020524	lr=0.395842
Epoch[17] Batch [899]	Speed: 1031.888563 samples/sec	rmse=0.020524	lr=0.395816
Epoch[17] Batch [949]	Speed: 1046.583862 samples/sec	rmse=0.020520	lr=0.395790
Epoch[17] Batch [999]	Speed: 1043.589431 samples/sec	rmse=0.020531	lr=0.395763
Epoch[17] Batch [1049]	Speed: 1035.498189 samples/sec	rmse=0.020538	lr=0.395737
Epoch[17] Batch [1099]	Speed: 1036.527326 samples/sec	rmse=0.020536	lr=0.395711
Epoch[17] Batch [1149]	Speed: 1042.587850 samples/sec	rmse=0.020537	lr=0.395684
Epoch[17] Batch [1199]	Speed: 1048.828759 samples/sec	rmse=0.020527	lr=0.395657
Epoch[17] Batch [1249]	Speed: 1046.225043 samples/sec	rmse=0.020541	lr=0.395631
[Epoch 17] training: rmse=0.020540
[Epoch 17] speed: 1041 samples/sec	time cost: 1242.169981
[Epoch 17] validation: err-top1=0.395915 err-top5=0.159342
Epoch[18] Batch [49]	Speed: 1055.244273 samples/sec	rmse=0.020456	lr=0.395603
Epoch[18] Batch [99]	Speed: 1041.873493 samples/sec	rmse=0.020398	lr=0.395576
Epoch[18] Batch [149]	Speed: 1046.068643 samples/sec	rmse=0.020341	lr=0.395549
Epoch[18] Batch [199]	Speed: 1044.943144 samples/sec	rmse=0.020377	lr=0.395522
Epoch[18] Batch [249]	Speed: 1042.751753 samples/sec	rmse=0.020372	lr=0.395495
Epoch[18] Batch [299]	Speed: 1044.671987 samples/sec	rmse=0.020350	lr=0.395468
Epoch[18] Batch [349]	Speed: 1043.666421 samples/sec	rmse=0.020363	lr=0.395441
Epoch[18] Batch [399]	Speed: 1035.496491 samples/sec	rmse=0.020367	lr=0.395413
Epoch[18] Batch [449]	Speed: 1046.504866 samples/sec	rmse=0.020386	lr=0.395386
Epoch[18] Batch [499]	Speed: 1044.045942 samples/sec	rmse=0.020402	lr=0.395358
Epoch[18] Batch [549]	Speed: 1048.858029 samples/sec	rmse=0.020401	lr=0.395331
Epoch[18] Batch [599]	Speed: 1046.739973 samples/sec	rmse=0.020398	lr=0.395303
Epoch[18] Batch [649]	Speed: 1048.668347 samples/sec	rmse=0.020371	lr=0.395275
Epoch[18] Batch [699]	Speed: 1045.766437 samples/sec	rmse=0.020385	lr=0.395247
Epoch[18] Batch [749]	Speed: 1047.199817 samples/sec	rmse=0.020398	lr=0.395219
Epoch[18] Batch [799]	Speed: 1046.202928 samples/sec	rmse=0.020402	lr=0.395191
Epoch[18] Batch [849]	Speed: 1044.566238 samples/sec	rmse=0.020406	lr=0.395163
Epoch[18] Batch [899]	Speed: 1043.738527 samples/sec	rmse=0.020407	lr=0.395135
Epoch[18] Batch [949]	Speed: 1044.136031 samples/sec	rmse=0.020406	lr=0.395107
Epoch[18] Batch [999]	Speed: 1042.476909 samples/sec	rmse=0.020416	lr=0.395078
Epoch[18] Batch [1049]	Speed: 1045.251549 samples/sec	rmse=0.020423	lr=0.395050
Epoch[18] Batch [1099]	Speed: 1041.058142 samples/sec	rmse=0.020436	lr=0.395021
Epoch[18] Batch [1149]	Speed: 1042.785136 samples/sec	rmse=0.020434	lr=0.394993
Epoch[18] Batch [1199]	Speed: 1044.076474 samples/sec	rmse=0.020438	lr=0.394964
Epoch[18] Batch [1249]	Speed: 1046.814326 samples/sec	rmse=0.020442	lr=0.394935
[Epoch 18] training: rmse=0.020441
[Epoch 18] speed: 1044 samples/sec	time cost: 1239.983158
[Epoch 18] validation: err-top1=0.423928 err-top5=0.179767
Epoch[19] Batch [49]	Speed: 1055.410909 samples/sec	rmse=0.020146	lr=0.394906
Epoch[19] Batch [99]	Speed: 1046.472284 samples/sec	rmse=0.020188	lr=0.394877
Epoch[19] Batch [149]	Speed: 1040.782294 samples/sec	rmse=0.020219	lr=0.394848
Epoch[19] Batch [199]	Speed: 1038.812617 samples/sec	rmse=0.020283	lr=0.394819
Epoch[19] Batch [249]	Speed: 1041.305092 samples/sec	rmse=0.020320	lr=0.394790
Epoch[19] Batch [299]	Speed: 1037.116791 samples/sec	rmse=0.020329	lr=0.394761
Epoch[19] Batch [349]	Speed: 1042.226125 samples/sec	rmse=0.020333	lr=0.394731
Epoch[19] Batch [399]	Speed: 1044.062058 samples/sec	rmse=0.020397	lr=0.394702
Epoch[19] Batch [449]	Speed: 1041.531347 samples/sec	rmse=0.020423	lr=0.394672
Epoch[19] Batch [499]	Speed: 1044.683473 samples/sec	rmse=0.020422	lr=0.394643
Epoch[19] Batch [549]	Speed: 1043.027805 samples/sec	rmse=0.020425	lr=0.394613
Epoch[19] Batch [599]	Speed: 1044.505108 samples/sec	rmse=0.020423	lr=0.394583
Epoch[19] Batch [649]	Speed: 1046.877722 samples/sec	rmse=0.020415	lr=0.394554
Epoch[19] Batch [699]	Speed: 1044.707933 samples/sec	rmse=0.020425	lr=0.394524
Epoch[19] Batch [749]	Speed: 1046.126002 samples/sec	rmse=0.020422	lr=0.394494
Epoch[19] Batch [799]	Speed: 1042.636854 samples/sec	rmse=0.020423	lr=0.394464
Epoch[19] Batch [849]	Speed: 1041.187312 samples/sec	rmse=0.020409	lr=0.394434
Epoch[19] Batch [899]	Speed: 1042.994695 samples/sec	rmse=0.020405	lr=0.394403
Epoch[19] Batch [949]	Speed: 1040.561744 samples/sec	rmse=0.020403	lr=0.394373
Epoch[19] Batch [999]	Speed: 1040.487813 samples/sec	rmse=0.020403	lr=0.394343
Epoch[19] Batch [1049]	Speed: 1039.673859 samples/sec	rmse=0.020403	lr=0.394312
Epoch[19] Batch [1099]	Speed: 1044.664105 samples/sec	rmse=0.020412	lr=0.394282
Epoch[19] Batch [1149]	Speed: 1042.131409 samples/sec	rmse=0.020428	lr=0.394251
Epoch[19] Batch [1199]	Speed: 1046.336457 samples/sec	rmse=0.020428	lr=0.394220
Epoch[19] Batch [1249]	Speed: 1046.956020 samples/sec	rmse=0.020433	lr=0.394190
[Epoch 19] training: rmse=0.020432
[Epoch 19] speed: 1042 samples/sec	time cost: 1241.531070
[Epoch 19] validation: err-top1=0.421616 err-top5=0.183235
Epoch[20] Batch [49]	Speed: 1056.632181 samples/sec	rmse=0.020470	lr=0.394158
Epoch[20] Batch [99]	Speed: 1047.758472 samples/sec	rmse=0.020264	lr=0.394127
Epoch[20] Batch [149]	Speed: 1044.849276 samples/sec	rmse=0.020309	lr=0.394096
Epoch[20] Batch [199]	Speed: 1042.875271 samples/sec	rmse=0.020276	lr=0.394065
Epoch[20] Batch [249]	Speed: 1042.288587 samples/sec	rmse=0.020289	lr=0.394034
Epoch[20] Batch [299]	Speed: 1034.477950 samples/sec	rmse=0.020284	lr=0.394003
Epoch[20] Batch [349]	Speed: 1039.846166 samples/sec	rmse=0.020334	lr=0.393971
Epoch[20] Batch [399]	Speed: 1041.645598 samples/sec	rmse=0.020352	lr=0.393940
Epoch[20] Batch [449]	Speed: 1039.751837 samples/sec	rmse=0.020351	lr=0.393908
Epoch[20] Batch [499]	Speed: 1047.397999 samples/sec	rmse=0.020348	lr=0.393877
Epoch[20] Batch [549]	Speed: 1042.834367 samples/sec	rmse=0.020346	lr=0.393845
Epoch[20] Batch [599]	Speed: 1039.503223 samples/sec	rmse=0.020345	lr=0.393813
Epoch[20] Batch [649]	Speed: 1040.479933 samples/sec	rmse=0.020345	lr=0.393782
Epoch[20] Batch [699]	Speed: 1039.941676 samples/sec	rmse=0.020351	lr=0.393750
Epoch[20] Batch [749]	Speed: 1040.285574 samples/sec	rmse=0.020345	lr=0.393718
Epoch[20] Batch [799]	Speed: 1045.660201 samples/sec	rmse=0.020352	lr=0.393686
Epoch[20] Batch [849]	Speed: 1035.877962 samples/sec	rmse=0.020367	lr=0.393653
Epoch[20] Batch [899]	Speed: 1036.585630 samples/sec	rmse=0.020369	lr=0.393621
Epoch[20] Batch [949]	Speed: 1043.945282 samples/sec	rmse=0.020354	lr=0.393589
Epoch[20] Batch [999]	Speed: 1044.585779 samples/sec	rmse=0.020340	lr=0.393557
Epoch[20] Batch [1049]	Speed: 1045.055973 samples/sec	rmse=0.020342	lr=0.393524
Epoch[20] Batch [1099]	Speed: 1039.303102 samples/sec	rmse=0.020359	lr=0.393492
Epoch[20] Batch [1149]	Speed: 1045.831097 samples/sec	rmse=0.020366	lr=0.393459
Epoch[20] Batch [1199]	Speed: 1040.094431 samples/sec	rmse=0.020378	lr=0.393426
Epoch[20] Batch [1249]	Speed: 1044.305164 samples/sec	rmse=0.020386	lr=0.393393
[Epoch 20] training: rmse=0.020387
[Epoch 20] speed: 1041 samples/sec	time cost: 1242.920080
[Epoch 20] validation: err-top1=0.393834 err-top5=0.158422
Epoch[21] Batch [49]	Speed: 1049.484404 samples/sec	rmse=0.020383	lr=0.393360
Epoch[21] Batch [99]	Speed: 1044.744801 samples/sec	rmse=0.020370	lr=0.393327
Epoch[21] Batch [149]	Speed: 1047.373336 samples/sec	rmse=0.020290	lr=0.393294
Epoch[21] Batch [199]	Speed: 1042.159938 samples/sec	rmse=0.020313	lr=0.393261
Epoch[21] Batch [249]	Speed: 1041.286471 samples/sec	rmse=0.020331	lr=0.393228
Epoch[21] Batch [299]	Speed: 1043.557345 samples/sec	rmse=0.020373	lr=0.393194
Epoch[21] Batch [349]	Speed: 1044.794619 samples/sec	rmse=0.020379	lr=0.393161
Epoch[21] Batch [399]	Speed: 1044.467992 samples/sec	rmse=0.020397	lr=0.393128
Epoch[21] Batch [449]	Speed: 1044.880175 samples/sec	rmse=0.020393	lr=0.393094
Epoch[21] Batch [499]	Speed: 1043.506490 samples/sec	rmse=0.020392	lr=0.393060
Epoch[21] Batch [549]	Speed: 1035.740989 samples/sec	rmse=0.020393	lr=0.393027
Epoch[21] Batch [599]	Speed: 1044.787589 samples/sec	rmse=0.020380	lr=0.392993
Epoch[21] Batch [649]	Speed: 1042.312106 samples/sec	rmse=0.020365	lr=0.392959
Epoch[21] Batch [699]	Speed: 1043.778122 samples/sec	rmse=0.020371	lr=0.392925
Epoch[21] Batch [749]	Speed: 1043.755146 samples/sec	rmse=0.020376	lr=0.392891
Epoch[21] Batch [799]	Speed: 1038.201106 samples/sec	rmse=0.020368	lr=0.392857
Epoch[21] Batch [849]	Speed: 1036.544302 samples/sec	rmse=0.020363	lr=0.392823
Epoch[21] Batch [899]	Speed: 1040.194753 samples/sec	rmse=0.020368	lr=0.392789
Epoch[21] Batch [949]	Speed: 1039.644454 samples/sec	rmse=0.020377	lr=0.392755
Epoch[21] Batch [999]	Speed: 1043.036625 samples/sec	rmse=0.020385	lr=0.392720
Epoch[21] Batch [1049]	Speed: 1040.105740 samples/sec	rmse=0.020389	lr=0.392686
Epoch[21] Batch [1099]	Speed: 1037.590365 samples/sec	rmse=0.020389	lr=0.392651
Epoch[21] Batch [1149]	Speed: 1041.062568 samples/sec	rmse=0.020375	lr=0.392617
Epoch[21] Batch [1199]	Speed: 1037.090636 samples/sec	rmse=0.020372	lr=0.392582
Epoch[21] Batch [1249]	Speed: 1047.117924 samples/sec	rmse=0.020361	lr=0.392547
[Epoch 21] training: rmse=0.020358
[Epoch 21] speed: 1041 samples/sec	time cost: 1244.101467
[Epoch 21] validation: err-top1=0.413564 err-top5=0.173031
Epoch[22] Batch [49]	Speed: 1057.924863 samples/sec	rmse=0.020130	lr=0.392511
Epoch[22] Batch [99]	Speed: 1040.962230 samples/sec	rmse=0.020202	lr=0.392476
Epoch[22] Batch [149]	Speed: 1043.385955 samples/sec	rmse=0.020214	lr=0.392441
Epoch[22] Batch [199]	Speed: 1043.601735 samples/sec	rmse=0.020164	lr=0.392406
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Epoch[22] Batch [299]	Speed: 1040.768090 samples/sec	rmse=0.020225	lr=0.392336
Epoch[22] Batch [349]	Speed: 1037.337462 samples/sec	rmse=0.020213	lr=0.392301
Epoch[22] Batch [399]	Speed: 1039.070795 samples/sec	rmse=0.020203	lr=0.392265
Epoch[22] Batch [449]	Speed: 1040.503254 samples/sec	rmse=0.020225	lr=0.392230
Epoch[22] Batch [499]	Speed: 1045.738123 samples/sec	rmse=0.020220	lr=0.392194
Epoch[22] Batch [549]	Speed: 1040.455353 samples/sec	rmse=0.020246	lr=0.392158
Epoch[22] Batch [599]	Speed: 1042.492147 samples/sec	rmse=0.020262	lr=0.392123
Epoch[22] Batch [649]	Speed: 1047.295952 samples/sec	rmse=0.020256	lr=0.392087
Epoch[22] Batch [699]	Speed: 1044.093916 samples/sec	rmse=0.020272	lr=0.392051
Epoch[22] Batch [749]	Speed: 1046.020161 samples/sec	rmse=0.020283	lr=0.392015
Epoch[22] Batch [799]	Speed: 1043.724064 samples/sec	rmse=0.020292	lr=0.391979
Epoch[22] Batch [849]	Speed: 1045.609155 samples/sec	rmse=0.020290	lr=0.391943
Epoch[22] Batch [899]	Speed: 1044.058819 samples/sec	rmse=0.020304	lr=0.391906
Epoch[22] Batch [949]	Speed: 1044.903089 samples/sec	rmse=0.020296	lr=0.391870
Epoch[22] Batch [999]	Speed: 1043.948743 samples/sec	rmse=0.020292	lr=0.391834
Epoch[22] Batch [1049]	Speed: 1036.288998 samples/sec	rmse=0.020281	lr=0.391797
Epoch[22] Batch [1099]	Speed: 1033.810018 samples/sec	rmse=0.020286	lr=0.391761
Epoch[22] Batch [1149]	Speed: 1039.801361 samples/sec	rmse=0.020286	lr=0.391724
Epoch[22] Batch [1199]	Speed: 1044.059972 samples/sec	rmse=0.020289	lr=0.391687
Epoch[22] Batch [1249]	Speed: 1039.200282 samples/sec	rmse=0.020294	lr=0.391651
[Epoch 22] training: rmse=0.020292
[Epoch 22] speed: 1041 samples/sec	time cost: 1242.420637
[Epoch 22] validation: err-top1=0.411093 err-top5=0.170101
Epoch[23] Batch [49]	Speed: 1046.795522 samples/sec	rmse=0.019972	lr=0.391613
Epoch[23] Batch [99]	Speed: 1040.492410 samples/sec	rmse=0.019994	lr=0.391576
Epoch[23] Batch [149]	Speed: 1041.520942 samples/sec	rmse=0.020127	lr=0.391539
Epoch[23] Batch [199]	Speed: 1034.299346 samples/sec	rmse=0.020154	lr=0.391502
Epoch[23] Batch [249]	Speed: 1040.403836 samples/sec	rmse=0.020181	lr=0.391465
Epoch[23] Batch [299]	Speed: 1044.652966 samples/sec	rmse=0.020237	lr=0.391428
Epoch[23] Batch [349]	Speed: 1037.776025 samples/sec	rmse=0.020250	lr=0.391390
Epoch[23] Batch [399]	Speed: 1039.579898 samples/sec	rmse=0.020265	lr=0.391353
Epoch[23] Batch [449]	Speed: 1046.590452 samples/sec	rmse=0.020269	lr=0.391315
Epoch[23] Batch [499]	Speed: 1046.237954 samples/sec	rmse=0.020267	lr=0.391278
Epoch[23] Batch [549]	Speed: 1041.111924 samples/sec	rmse=0.020286	lr=0.391240
Epoch[23] Batch [599]	Speed: 1045.029630 samples/sec	rmse=0.020271	lr=0.391202
Epoch[23] Batch [649]	Speed: 1048.558997 samples/sec	rmse=0.020290	lr=0.391164
Epoch[23] Batch [699]	Speed: 1040.885695 samples/sec	rmse=0.020295	lr=0.391127
Epoch[23] Batch [749]	Speed: 1042.217714 samples/sec	rmse=0.020290	lr=0.391089
Epoch[23] Batch [799]	Speed: 1043.317735 samples/sec	rmse=0.020303	lr=0.391051
Epoch[23] Batch [849]	Speed: 1046.449521 samples/sec	rmse=0.020300	lr=0.391012
Epoch[23] Batch [899]	Speed: 1044.412999 samples/sec	rmse=0.020293	lr=0.390974
Epoch[23] Batch [949]	Speed: 1042.342406 samples/sec	rmse=0.020297	lr=0.390936
Epoch[23] Batch [999]	Speed: 1040.925931 samples/sec	rmse=0.020309	lr=0.390898
Epoch[23] Batch [1049]	Speed: 1046.334326 samples/sec	rmse=0.020315	lr=0.390859
Epoch[23] Batch [1099]	Speed: 1044.612120 samples/sec	rmse=0.020330	lr=0.390821
Epoch[23] Batch [1149]	Speed: 1043.069697 samples/sec	rmse=0.020330	lr=0.390782
Epoch[23] Batch [1199]	Speed: 1044.412502 samples/sec	rmse=0.020329	lr=0.390743
Epoch[23] Batch [1249]	Speed: 1046.391591 samples/sec	rmse=0.020324	lr=0.390705
[Epoch 23] training: rmse=0.020323
[Epoch 23] speed: 1042 samples/sec	time cost: 1241.809902
[Epoch 23] validation: err-top1=0.393677 err-top5=0.157817
Epoch[24] Batch [49]	Speed: 1059.544050 samples/sec	rmse=0.020161	lr=0.390665
Epoch[24] Batch [99]	Speed: 1045.395329 samples/sec	rmse=0.020193	lr=0.390626
Epoch[24] Batch [149]	Speed: 1044.270658 samples/sec	rmse=0.020208	lr=0.390587
Epoch[24] Batch [199]	Speed: 1044.186608 samples/sec	rmse=0.020169	lr=0.390548
Epoch[24] Batch [249]	Speed: 1041.875196 samples/sec	rmse=0.020180	lr=0.390509
Epoch[24] Batch [299]	Speed: 1036.600741 samples/sec	rmse=0.020190	lr=0.390469
Epoch[24] Batch [349]	Speed: 1042.697351 samples/sec	rmse=0.020187	lr=0.390430
Epoch[24] Batch [399]	Speed: 1040.759661 samples/sec	rmse=0.020194	lr=0.390391
Epoch[24] Batch [449]	Speed: 1040.103665 samples/sec	rmse=0.020199	lr=0.390351
Epoch[24] Batch [499]	Speed: 1033.631461 samples/sec	rmse=0.020204	lr=0.390312
Epoch[24] Batch [549]	Speed: 1045.741234 samples/sec	rmse=0.020200	lr=0.390272
Epoch[24] Batch [599]	Speed: 1041.710704 samples/sec	rmse=0.020209	lr=0.390232
Epoch[24] Batch [649]	Speed: 1037.158666 samples/sec	rmse=0.020206	lr=0.390193
Epoch[24] Batch [699]	Speed: 1042.559859 samples/sec	rmse=0.020209	lr=0.390153
Epoch[24] Batch [749]	Speed: 1043.086036 samples/sec	rmse=0.020217	lr=0.390113
Epoch[24] Batch [799]	Speed: 1044.252702 samples/sec	rmse=0.020203	lr=0.390073
Epoch[24] Batch [849]	Speed: 1038.945845 samples/sec	rmse=0.020205	lr=0.390033
Epoch[24] Batch [899]	Speed: 1045.506774 samples/sec	rmse=0.020202	lr=0.389992
Epoch[24] Batch [949]	Speed: 1041.906764 samples/sec	rmse=0.020214	lr=0.389952
Epoch[24] Batch [999]	Speed: 1044.450741 samples/sec	rmse=0.020218	lr=0.389912
Epoch[24] Batch [1049]	Speed: 1041.624312 samples/sec	rmse=0.020225	lr=0.389871
Epoch[24] Batch [1099]	Speed: 1046.719279 samples/sec	rmse=0.020238	lr=0.389831
Epoch[24] Batch [1149]	Speed: 1039.792827 samples/sec	rmse=0.020239	lr=0.389790
Epoch[24] Batch [1199]	Speed: 1043.280399 samples/sec	rmse=0.020241	lr=0.389750
Epoch[24] Batch [1249]	Speed: 1047.105277 samples/sec	rmse=0.020248	lr=0.389709
[Epoch 24] training: rmse=0.020248
[Epoch 24] speed: 1042 samples/sec	time cost: 1242.590092
[Epoch 24] validation: err-top1=0.410834 err-top5=0.170320
Epoch[25] Batch [49]	Speed: 1053.431791 samples/sec	rmse=0.020261	lr=0.389667
Epoch[25] Batch [99]	Speed: 1046.425493 samples/sec	rmse=0.020185	lr=0.389626
Epoch[25] Batch [149]	Speed: 1048.991222 samples/sec	rmse=0.020133	lr=0.389585
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Epoch[25] Batch [249]	Speed: 1046.190481 samples/sec	rmse=0.020147	lr=0.389503
Epoch[25] Batch [299]	Speed: 1044.468907 samples/sec	rmse=0.020185	lr=0.389462
Epoch[25] Batch [349]	Speed: 1044.435395 samples/sec	rmse=0.020174	lr=0.389421
Epoch[25] Batch [399]	Speed: 1046.802365 samples/sec	rmse=0.020189	lr=0.389379
Epoch[25] Batch [449]	Speed: 1049.151942 samples/sec	rmse=0.020169	lr=0.389338
Epoch[25] Batch [499]	Speed: 1046.316085 samples/sec	rmse=0.020159	lr=0.389296
Epoch[25] Batch [549]	Speed: 1043.439917 samples/sec	rmse=0.020176	lr=0.389255
Epoch[25] Batch [599]	Speed: 1044.077185 samples/sec	rmse=0.020193	lr=0.389213
Epoch[25] Batch [649]	Speed: 1043.383258 samples/sec	rmse=0.020186	lr=0.389171
Epoch[25] Batch [699]	Speed: 1045.550342 samples/sec	rmse=0.020176	lr=0.389129
Epoch[25] Batch [749]	Speed: 1035.414591 samples/sec	rmse=0.020185	lr=0.389088
Epoch[25] Batch [799]	Speed: 1036.235113 samples/sec	rmse=0.020200	lr=0.389046
Epoch[25] Batch [849]	Speed: 1041.945088 samples/sec	rmse=0.020201	lr=0.389003
Epoch[25] Batch [899]	Speed: 1044.255678 samples/sec	rmse=0.020209	lr=0.388961
Epoch[25] Batch [949]	Speed: 1039.747850 samples/sec	rmse=0.020210	lr=0.388919
Epoch[25] Batch [999]	Speed: 1039.217290 samples/sec	rmse=0.020213	lr=0.388877
Epoch[25] Batch [1049]	Speed: 1039.756041 samples/sec	rmse=0.020212	lr=0.388834
Epoch[25] Batch [1099]	Speed: 1044.899317 samples/sec	rmse=0.020214	lr=0.388792
Epoch[25] Batch [1149]	Speed: 1033.591134 samples/sec	rmse=0.020222	lr=0.388749
Epoch[25] Batch [1199]	Speed: 1042.556777 samples/sec	rmse=0.020232	lr=0.388707
Epoch[25] Batch [1249]	Speed: 1044.961459 samples/sec	rmse=0.020233	lr=0.388664
[Epoch 25] training: rmse=0.020233
[Epoch 25] speed: 1042 samples/sec	time cost: 1241.849972
[Epoch 25] validation: err-top1=0.417152 err-top5=0.175921
Epoch[26] Batch [49]	Speed: 1053.586674 samples/sec	rmse=0.020014	lr=0.388620
Epoch[26] Batch [99]	Speed: 1036.926936 samples/sec	rmse=0.020089	lr=0.388578
Epoch[26] Batch [149]	Speed: 1041.851889 samples/sec	rmse=0.020103	lr=0.388535
Epoch[26] Batch [199]	Speed: 1040.253323 samples/sec	rmse=0.020108	lr=0.388492
Epoch[26] Batch [249]	Speed: 1042.989346 samples/sec	rmse=0.020087	lr=0.388449
Epoch[26] Batch [299]	Speed: 1040.316229 samples/sec	rmse=0.020128	lr=0.388405
Epoch[26] Batch [349]	Speed: 1041.144051 samples/sec	rmse=0.020132	lr=0.388362
Epoch[26] Batch [399]	Speed: 1039.537848 samples/sec	rmse=0.020149	lr=0.388319
Epoch[26] Batch [449]	Speed: 1038.777870 samples/sec	rmse=0.020163	lr=0.388275
Epoch[26] Batch [499]	Speed: 1046.582582 samples/sec	rmse=0.020152	lr=0.388232
Epoch[26] Batch [549]	Speed: 1044.738560 samples/sec	rmse=0.020154	lr=0.388188
Epoch[26] Batch [599]	Speed: 1043.505830 samples/sec	rmse=0.020162	lr=0.388145
Epoch[26] Batch [649]	Speed: 1044.098662 samples/sec	rmse=0.020170	lr=0.388101
Epoch[26] Batch [699]	Speed: 1044.674579 samples/sec	rmse=0.020152	lr=0.388057
Epoch[26] Batch [749]	Speed: 1044.592080 samples/sec	rmse=0.020166	lr=0.388013
Epoch[26] Batch [799]	Speed: 1044.702876 samples/sec	rmse=0.020168	lr=0.387969
Epoch[26] Batch [849]	Speed: 1045.786691 samples/sec	rmse=0.020167	lr=0.387925
Epoch[26] Batch [899]	Speed: 1047.652444 samples/sec	rmse=0.020167	lr=0.387881
Epoch[26] Batch [949]	Speed: 1044.422046 samples/sec	rmse=0.020172	lr=0.387837
Epoch[26] Batch [999]	Speed: 1040.699889 samples/sec	rmse=0.020178	lr=0.387793
Epoch[26] Batch [1049]	Speed: 1037.402782 samples/sec	rmse=0.020176	lr=0.387748
Epoch[26] Batch [1099]	Speed: 1043.707487 samples/sec	rmse=0.020181	lr=0.387704
Epoch[26] Batch [1149]	Speed: 1041.661782 samples/sec	rmse=0.020183	lr=0.387659
Epoch[26] Batch [1199]	Speed: 1042.963355 samples/sec	rmse=0.020186	lr=0.387615
Epoch[26] Batch [1249]	Speed: 1047.784943 samples/sec	rmse=0.020185	lr=0.387570
[Epoch 26] training: rmse=0.020186
[Epoch 26] speed: 1042 samples/sec	time cost: 1242.609954
[Epoch 26] validation: err-top1=0.392319 err-top5=0.158701
Epoch[27] Batch [49]	Speed: 1050.581158 samples/sec	rmse=0.019896	lr=0.387525
Epoch[27] Batch [99]	Speed: 1047.174729 samples/sec	rmse=0.020016	lr=0.387480
Epoch[27] Batch [149]	Speed: 1040.261945 samples/sec	rmse=0.020030	lr=0.387435
Epoch[27] Batch [199]	Speed: 1045.423950 samples/sec	rmse=0.020079	lr=0.387390
Epoch[27] Batch [249]	Speed: 1042.114989 samples/sec	rmse=0.020073	lr=0.387345
Epoch[27] Batch [299]	Speed: 1042.105603 samples/sec	rmse=0.020085	lr=0.387300
Epoch[27] Batch [349]	Speed: 1042.466424 samples/sec	rmse=0.020115	lr=0.387255
Epoch[27] Batch [399]	Speed: 1045.730047 samples/sec	rmse=0.020112	lr=0.387209
Epoch[27] Batch [449]	Speed: 1046.006578 samples/sec	rmse=0.020110	lr=0.387164
Epoch[27] Batch [499]	Speed: 1044.923696 samples/sec	rmse=0.020126	lr=0.387119
Epoch[27] Batch [549]	Speed: 1039.574267 samples/sec	rmse=0.020133	lr=0.387073
Epoch[27] Batch [599]	Speed: 1039.732758 samples/sec	rmse=0.020145	lr=0.387027
Epoch[27] Batch [649]	Speed: 1038.592153 samples/sec	rmse=0.020137	lr=0.386982
Epoch[27] Batch [699]	Speed: 1044.882204 samples/sec	rmse=0.020145	lr=0.386936
Epoch[27] Batch [749]	Speed: 1043.191294 samples/sec	rmse=0.020160	lr=0.386890
Epoch[27] Batch [799]	Speed: 1043.124022 samples/sec	rmse=0.020168	lr=0.386844
Epoch[27] Batch [849]	Speed: 1040.644843 samples/sec	rmse=0.020186	lr=0.386798
Epoch[27] Batch [899]	Speed: 1046.587560 samples/sec	rmse=0.020181	lr=0.386752
Epoch[27] Batch [949]	Speed: 1042.550789 samples/sec	rmse=0.020175	lr=0.386706
Epoch[27] Batch [999]	Speed: 1041.271662 samples/sec	rmse=0.020181	lr=0.386660
Epoch[27] Batch [1049]	Speed: 1048.665690 samples/sec	rmse=0.020177	lr=0.386614
Epoch[27] Batch [1099]	Speed: 1044.283109 samples/sec	rmse=0.020187	lr=0.386567
Epoch[27] Batch [1149]	Speed: 1043.558638 samples/sec	rmse=0.020192	lr=0.386521
Epoch[27] Batch [1199]	Speed: 1043.853592 samples/sec	rmse=0.020189	lr=0.386474
Epoch[27] Batch [1249]	Speed: 1048.450959 samples/sec	rmse=0.020193	lr=0.386428
[Epoch 27] training: rmse=0.020192
[Epoch 27] speed: 1042 samples/sec	time cost: 1241.294274
[Epoch 27] validation: err-top1=0.380580 err-top5=0.150530
Epoch[28] Batch [49]	Speed: 1055.777049 samples/sec	rmse=0.020131	lr=0.386380
Epoch[28] Batch [99]	Speed: 1045.686932 samples/sec	rmse=0.020158	lr=0.386333
Epoch[28] Batch [149]	Speed: 1047.117521 samples/sec	rmse=0.020057	lr=0.386287
Epoch[28] Batch [199]	Speed: 1045.972850 samples/sec	rmse=0.020061	lr=0.386240
Epoch[28] Batch [249]	Speed: 1046.985196 samples/sec	rmse=0.020056	lr=0.386193
Epoch[28] Batch [299]	Speed: 1038.524041 samples/sec	rmse=0.020033	lr=0.386146
Epoch[28] Batch [349]	Speed: 1035.443687 samples/sec	rmse=0.020044	lr=0.386098
Epoch[28] Batch [399]	Speed: 1044.647645 samples/sec	rmse=0.020036	lr=0.386051
Epoch[28] Batch [449]	Speed: 1044.453296 samples/sec	rmse=0.020043	lr=0.386004
Epoch[28] Batch [499]	Speed: 1039.974054 samples/sec	rmse=0.020087	lr=0.385957
Epoch[28] Batch [549]	Speed: 1043.754420 samples/sec	rmse=0.020095	lr=0.385909
Epoch[28] Batch [599]	Speed: 1041.324886 samples/sec	rmse=0.020090	lr=0.385862
Epoch[28] Batch [649]	Speed: 1038.413632 samples/sec	rmse=0.020105	lr=0.385814
Epoch[28] Batch [699]	Speed: 1041.893722 samples/sec	rmse=0.020112	lr=0.385766
Epoch[28] Batch [749]	Speed: 1044.655060 samples/sec	rmse=0.020109	lr=0.385719
Epoch[28] Batch [799]	Speed: 1041.198822 samples/sec	rmse=0.020116	lr=0.385671
Epoch[28] Batch [849]	Speed: 1042.649216 samples/sec	rmse=0.020117	lr=0.385623
Epoch[28] Batch [899]	Speed: 1042.909893 samples/sec	rmse=0.020111	lr=0.385575
Epoch[28] Batch [949]	Speed: 1042.337240 samples/sec	rmse=0.020111	lr=0.385527
Epoch[28] Batch [999]	Speed: 1038.950977 samples/sec	rmse=0.020119	lr=0.385479
Epoch[28] Batch [1049]	Speed: 1045.541978 samples/sec	rmse=0.020135	lr=0.385430
Epoch[28] Batch [1099]	Speed: 1045.553981 samples/sec	rmse=0.020128	lr=0.385382
Epoch[28] Batch [1149]	Speed: 1046.296377 samples/sec	rmse=0.020132	lr=0.385334
Epoch[28] Batch [1199]	Speed: 1032.991940 samples/sec	rmse=0.020131	lr=0.385285
Epoch[28] Batch [1249]	Speed: 1049.247513 samples/sec	rmse=0.020135	lr=0.385237
[Epoch 28] training: rmse=0.020136
[Epoch 28] speed: 1042 samples/sec	time cost: 1242.829264
[Epoch 28] validation: err-top1=0.377392 err-top5=0.146484
Epoch[29] Batch [49]	Speed: 1055.453952 samples/sec	rmse=0.019959	lr=0.385187
Epoch[29] Batch [99]	Speed: 1044.021401 samples/sec	rmse=0.019931	lr=0.385139
Epoch[29] Batch [149]	Speed: 1042.914532 samples/sec	rmse=0.019918	lr=0.385090
Epoch[29] Batch [199]	Speed: 1038.009083 samples/sec	rmse=0.019958	lr=0.385041
Epoch[29] Batch [249]	Speed: 1040.844997 samples/sec	rmse=0.020017	lr=0.384992
Epoch[29] Batch [299]	Speed: 1043.285346 samples/sec	rmse=0.020056	lr=0.384943
Epoch[29] Batch [349]	Speed: 1042.370258 samples/sec	rmse=0.020042	lr=0.384894
Epoch[29] Batch [399]	Speed: 1042.079469 samples/sec	rmse=0.020036	lr=0.384845
Epoch[29] Batch [449]	Speed: 1045.559215 samples/sec	rmse=0.020027	lr=0.384796
Epoch[29] Batch [499]	Speed: 1043.203046 samples/sec	rmse=0.020040	lr=0.384746
Epoch[29] Batch [549]	Speed: 1042.952890 samples/sec	rmse=0.020050	lr=0.384697
Epoch[29] Batch [599]	Speed: 1043.854769 samples/sec	rmse=0.020061	lr=0.384648
Epoch[29] Batch [649]	Speed: 1041.278857 samples/sec	rmse=0.020066	lr=0.384598
Epoch[29] Batch [699]	Speed: 1043.554931 samples/sec	rmse=0.020078	lr=0.384549
Epoch[29] Batch [749]	Speed: 1042.648386 samples/sec	rmse=0.020093	lr=0.384499
Epoch[29] Batch [799]	Speed: 1044.922694 samples/sec	rmse=0.020077	lr=0.384449
Epoch[29] Batch [849]	Speed: 1044.838112 samples/sec	rmse=0.020087	lr=0.384399
Epoch[29] Batch [899]	Speed: 1045.016881 samples/sec	rmse=0.020076	lr=0.384349
Epoch[29] Batch [949]	Speed: 1045.908402 samples/sec	rmse=0.020080	lr=0.384299
Epoch[29] Batch [999]	Speed: 1044.686192 samples/sec	rmse=0.020081	lr=0.384249
Epoch[29] Batch [1049]	Speed: 1042.483331 samples/sec	rmse=0.020097	lr=0.384199
Epoch[29] Batch [1099]	Speed: 1043.348072 samples/sec	rmse=0.020095	lr=0.384149
Epoch[29] Batch [1149]	Speed: 1036.773163 samples/sec	rmse=0.020105	lr=0.384099
Epoch[29] Batch [1199]	Speed: 1039.477476 samples/sec	rmse=0.020104	lr=0.384048
Epoch[29] Batch [1249]	Speed: 1044.288787 samples/sec	rmse=0.020108	lr=0.383998
[Epoch 29] training: rmse=0.020108
[Epoch 29] speed: 1042 samples/sec	time cost: 1242.259186
[Epoch 29] validation: err-top1=0.370300 err-top5=0.141683
Epoch[30] Batch [49]	Speed: 1054.080068 samples/sec	rmse=0.020304	lr=0.383946
Epoch[30] Batch [99]	Speed: 1034.217855 samples/sec	rmse=0.020128	lr=0.383896
Epoch[30] Batch [149]	Speed: 1040.231691 samples/sec	rmse=0.020125	lr=0.383845
Epoch[30] Batch [199]	Speed: 1038.978758 samples/sec	rmse=0.020143	lr=0.383794
Epoch[30] Batch [249]	Speed: 1041.220413 samples/sec	rmse=0.020095	lr=0.383744
Epoch[30] Batch [299]	Speed: 1047.415103 samples/sec	rmse=0.020051	lr=0.383693
Epoch[30] Batch [349]	Speed: 1038.643098 samples/sec	rmse=0.020077	lr=0.383642
Epoch[30] Batch [399]	Speed: 1041.997066 samples/sec	rmse=0.020115	lr=0.383591
Epoch[30] Batch [449]	Speed: 1040.290508 samples/sec	rmse=0.020134	lr=0.383540
Epoch[30] Batch [499]	Speed: 1042.459107 samples/sec	rmse=0.020140	lr=0.383488
Epoch[30] Batch [549]	Speed: 1043.121980 samples/sec	rmse=0.020109	lr=0.383437
Epoch[30] Batch [599]	Speed: 1042.195251 samples/sec	rmse=0.020118	lr=0.383386
Epoch[30] Batch [649]	Speed: 1042.410554 samples/sec	rmse=0.020105	lr=0.383334
Epoch[30] Batch [699]	Speed: 1043.440773 samples/sec	rmse=0.020111	lr=0.383283
Epoch[30] Batch [749]	Speed: 1041.237427 samples/sec	rmse=0.020129	lr=0.383231
Epoch[30] Batch [799]	Speed: 1044.723577 samples/sec	rmse=0.020141	lr=0.383180
Epoch[30] Batch [849]	Speed: 1038.610537 samples/sec	rmse=0.020142	lr=0.383128
Epoch[30] Batch [899]	Speed: 1041.375130 samples/sec	rmse=0.020143	lr=0.383076
Epoch[30] Batch [949]	Speed: 1036.662801 samples/sec	rmse=0.020148	lr=0.383024
Epoch[30] Batch [999]	Speed: 1043.614226 samples/sec	rmse=0.020137	lr=0.382972
Epoch[30] Batch [1049]	Speed: 1042.819509 samples/sec	rmse=0.020134	lr=0.382920
Epoch[30] Batch [1099]	Speed: 1042.013548 samples/sec	rmse=0.020132	lr=0.382868
Epoch[30] Batch [1149]	Speed: 1042.913438 samples/sec	rmse=0.020135	lr=0.382816
Epoch[30] Batch [1199]	Speed: 1047.574160 samples/sec	rmse=0.020126	lr=0.382764
Epoch[30] Batch [1249]	Speed: 1047.802304 samples/sec	rmse=0.020123	lr=0.382711
[Epoch 30] training: rmse=0.020123
[Epoch 30] speed: 1041 samples/sec	time cost: 1242.877651
[Epoch 30] validation: err-top1=0.366590 err-top5=0.138253
Epoch[31] Batch [49]	Speed: 1056.446475 samples/sec	rmse=0.019880	lr=0.382658
Epoch[31] Batch [99]	Speed: 1043.818380 samples/sec	rmse=0.019872	lr=0.382605
Epoch[31] Batch [149]	Speed: 1040.466735 samples/sec	rmse=0.019928	lr=0.382553
Epoch[31] Batch [199]	Speed: 1038.362011 samples/sec	rmse=0.019912	lr=0.382500
Epoch[31] Batch [249]	Speed: 1042.936580 samples/sec	rmse=0.019926	lr=0.382447
Epoch[31] Batch [299]	Speed: 1043.476295 samples/sec	rmse=0.019943	lr=0.382395
Epoch[31] Batch [349]	Speed: 1038.641717 samples/sec	rmse=0.019928	lr=0.382342
Epoch[31] Batch [399]	Speed: 1046.379987 samples/sec	rmse=0.019940	lr=0.382289
Epoch[31] Batch [449]	Speed: 1036.439871 samples/sec	rmse=0.019950	lr=0.382236
Epoch[31] Batch [499]	Speed: 1033.374665 samples/sec	rmse=0.019974	lr=0.382183
Epoch[31] Batch [549]	Speed: 1031.955991 samples/sec	rmse=0.019992	lr=0.382129
Epoch[31] Batch [599]	Speed: 1041.073929 samples/sec	rmse=0.020013	lr=0.382076
Epoch[31] Batch [649]	Speed: 1037.687592 samples/sec	rmse=0.020007	lr=0.382023
Epoch[31] Batch [699]	Speed: 1042.500270 samples/sec	rmse=0.020010	lr=0.381969
Epoch[31] Batch [749]	Speed: 1042.350187 samples/sec	rmse=0.020010	lr=0.381916
Epoch[31] Batch [799]	Speed: 1040.561189 samples/sec	rmse=0.020026	lr=0.381862
Epoch[31] Batch [849]	Speed: 1043.507585 samples/sec	rmse=0.020031	lr=0.381809
Epoch[31] Batch [899]	Speed: 1040.392712 samples/sec	rmse=0.020031	lr=0.381755
Epoch[31] Batch [949]	Speed: 1042.763419 samples/sec	rmse=0.020041	lr=0.381701
Epoch[31] Batch [999]	Speed: 1035.505584 samples/sec	rmse=0.020046	lr=0.381647
Epoch[31] Batch [1049]	Speed: 1042.260203 samples/sec	rmse=0.020054	lr=0.381594
Epoch[31] Batch [1099]	Speed: 1037.317649 samples/sec	rmse=0.020054	lr=0.381540
Epoch[31] Batch [1149]	Speed: 1040.679136 samples/sec	rmse=0.020057	lr=0.381485
Epoch[31] Batch [1199]	Speed: 1041.036784 samples/sec	rmse=0.020067	lr=0.381431
Epoch[31] Batch [1249]	Speed: 1042.025107 samples/sec	rmse=0.020071	lr=0.381377
[Epoch 31] training: rmse=0.020072
[Epoch 31] speed: 1040 samples/sec	time cost: 1244.799031
[Epoch 31] validation: err-top1=0.371632 err-top5=0.142678
Epoch[32] Batch [49]	Speed: 1053.066496 samples/sec	rmse=0.019903	lr=0.381322
Epoch[32] Batch [99]	Speed: 1042.062661 samples/sec	rmse=0.019945	lr=0.381267
Epoch[32] Batch [149]	Speed: 1045.158424 samples/sec	rmse=0.019948	lr=0.381213
Epoch[32] Batch [199]	Speed: 1043.990339 samples/sec	rmse=0.019950	lr=0.381158
Epoch[32] Batch [249]	Speed: 1046.196118 samples/sec	rmse=0.019941	lr=0.381104
Epoch[32] Batch [299]	Speed: 1046.589279 samples/sec	rmse=0.019926	lr=0.381049
Epoch[32] Batch [349]	Speed: 1046.001427 samples/sec	rmse=0.019964	lr=0.380994
Epoch[32] Batch [399]	Speed: 1042.926977 samples/sec	rmse=0.019977	lr=0.380939
Epoch[32] Batch [449]	Speed: 1042.209970 samples/sec	rmse=0.019983	lr=0.380885
Epoch[32] Batch [499]	Speed: 1041.805071 samples/sec	rmse=0.020001	lr=0.380830
Epoch[32] Batch [549]	Speed: 1041.648554 samples/sec	rmse=0.020011	lr=0.380774
Epoch[32] Batch [599]	Speed: 1041.506611 samples/sec	rmse=0.020031	lr=0.380719
Epoch[32] Batch [649]	Speed: 1038.932520 samples/sec	rmse=0.020021	lr=0.380664
Epoch[32] Batch [699]	Speed: 1042.315870 samples/sec	rmse=0.020028	lr=0.380609
Epoch[32] Batch [749]	Speed: 1035.669805 samples/sec	rmse=0.020027	lr=0.380553
Epoch[32] Batch [799]	Speed: 1041.344543 samples/sec	rmse=0.020030	lr=0.380498
Epoch[32] Batch [849]	Speed: 1039.172831 samples/sec	rmse=0.020042	lr=0.380443
Epoch[32] Batch [899]	Speed: 1043.976798 samples/sec	rmse=0.020028	lr=0.380387
Epoch[32] Batch [949]	Speed: 1039.104899 samples/sec	rmse=0.020037	lr=0.380331
Epoch[32] Batch [999]	Speed: 1029.574124 samples/sec	rmse=0.020041	lr=0.380276
Epoch[32] Batch [1049]	Speed: 1027.220964 samples/sec	rmse=0.020056	lr=0.380220
Epoch[32] Batch [1099]	Speed: 1042.105436 samples/sec	rmse=0.020058	lr=0.380164
Epoch[32] Batch [1149]	Speed: 1040.528825 samples/sec	rmse=0.020063	lr=0.380108
Epoch[32] Batch [1199]	Speed: 1043.615022 samples/sec	rmse=0.020070	lr=0.380052
Epoch[32] Batch [1249]	Speed: 1042.687716 samples/sec	rmse=0.020066	lr=0.379996
[Epoch 32] training: rmse=0.020065
[Epoch 32] speed: 1040 samples/sec	time cost: 1243.996886
[Epoch 32] validation: err-top1=0.392698 err-top5=0.157545
Epoch[33] Batch [49]	Speed: 1052.919545 samples/sec	rmse=0.019958	lr=0.379939
Epoch[33] Batch [99]	Speed: 1044.650334 samples/sec	rmse=0.019876	lr=0.379882
Epoch[33] Batch [149]	Speed: 1043.348599 samples/sec	rmse=0.019911	lr=0.379826
Epoch[33] Batch [199]	Speed: 1039.105965 samples/sec	rmse=0.019947	lr=0.379770
Epoch[33] Batch [249]	Speed: 1045.511182 samples/sec	rmse=0.019943	lr=0.379713
Epoch[33] Batch [299]	Speed: 1040.213053 samples/sec	rmse=0.019961	lr=0.379657
Epoch[33] Batch [349]	Speed: 1041.201623 samples/sec	rmse=0.019958	lr=0.379600
Epoch[33] Batch [399]	Speed: 1040.669957 samples/sec	rmse=0.019964	lr=0.379543
Epoch[33] Batch [449]	Speed: 1035.138073 samples/sec	rmse=0.019988	lr=0.379486
Epoch[33] Batch [499]	Speed: 1034.172741 samples/sec	rmse=0.019987	lr=0.379430
Epoch[33] Batch [549]	Speed: 1043.617472 samples/sec	rmse=0.019971	lr=0.379373
Epoch[33] Batch [599]	Speed: 1042.085294 samples/sec	rmse=0.019964	lr=0.379316
Epoch[33] Batch [649]	Speed: 1045.120097 samples/sec	rmse=0.019970	lr=0.379259
Epoch[33] Batch [699]	Speed: 1044.567655 samples/sec	rmse=0.019971	lr=0.379201
Epoch[33] Batch [749]	Speed: 1046.143058 samples/sec	rmse=0.019985	lr=0.379144
Epoch[33] Batch [799]	Speed: 1043.390076 samples/sec	rmse=0.019990	lr=0.379087
Epoch[33] Batch [849]	Speed: 1043.690814 samples/sec	rmse=0.020000	lr=0.379030
Epoch[33] Batch [899]	Speed: 1044.966523 samples/sec	rmse=0.020005	lr=0.378972
Epoch[33] Batch [949]	Speed: 1040.632408 samples/sec	rmse=0.020017	lr=0.378915
Epoch[33] Batch [999]	Speed: 1040.644505 samples/sec	rmse=0.020015	lr=0.378857
Epoch[33] Batch [1049]	Speed: 1041.759753 samples/sec	rmse=0.020010	lr=0.378799
Epoch[33] Batch [1099]	Speed: 1038.302408 samples/sec	rmse=0.020019	lr=0.378742
Epoch[33] Batch [1149]	Speed: 1043.076263 samples/sec	rmse=0.020027	lr=0.378684
Epoch[33] Batch [1199]	Speed: 1036.876219 samples/sec	rmse=0.020025	lr=0.378626
Epoch[33] Batch [1249]	Speed: 1039.809472 samples/sec	rmse=0.020035	lr=0.378568
[Epoch 33] training: rmse=0.020035
[Epoch 33] speed: 1041 samples/sec	time cost: 1243.909461
[Epoch 33] validation: err-top1=0.373784 err-top5=0.142219
Epoch[34] Batch [49]	Speed: 1040.939605 samples/sec	rmse=0.019996	lr=0.378509
Epoch[34] Batch [99]	Speed: 1041.182627 samples/sec	rmse=0.019986	lr=0.378451
Epoch[34] Batch [149]	Speed: 1034.318396 samples/sec	rmse=0.020011	lr=0.378392
Epoch[34] Batch [199]	Speed: 1045.099829 samples/sec	rmse=0.019974	lr=0.378334
Epoch[34] Batch [249]	Speed: 1031.405015 samples/sec	rmse=0.019956	lr=0.378276
Epoch[34] Batch [299]	Speed: 1041.961023 samples/sec	rmse=0.019959	lr=0.378217
Epoch[34] Batch [349]	Speed: 1039.948208 samples/sec	rmse=0.019957	lr=0.378159
Epoch[34] Batch [399]	Speed: 1041.464006 samples/sec	rmse=0.019930	lr=0.378100
Epoch[34] Batch [449]	Speed: 1042.760836 samples/sec	rmse=0.019927	lr=0.378042
Epoch[34] Batch [499]	Speed: 1038.918195 samples/sec	rmse=0.019948	lr=0.377983
Epoch[34] Batch [549]	Speed: 1043.993831 samples/sec	rmse=0.019949	lr=0.377924
Epoch[34] Batch [599]	Speed: 1041.290596 samples/sec	rmse=0.019952	lr=0.377865
Epoch[34] Batch [649]	Speed: 1041.628546 samples/sec	rmse=0.019953	lr=0.377806
Epoch[34] Batch [699]	Speed: 1042.375773 samples/sec	rmse=0.019949	lr=0.377747
Epoch[34] Batch [749]	Speed: 1042.185095 samples/sec	rmse=0.019965	lr=0.377688
Epoch[34] Batch [799]	Speed: 1041.423122 samples/sec	rmse=0.019986	lr=0.377629
Epoch[34] Batch [849]	Speed: 1036.811090 samples/sec	rmse=0.019992	lr=0.377570
Epoch[34] Batch [899]	Speed: 1032.947286 samples/sec	rmse=0.019998	lr=0.377511
Epoch[34] Batch [949]	Speed: 1039.705686 samples/sec	rmse=0.020001	lr=0.377451
Epoch[34] Batch [999]	Speed: 1045.099422 samples/sec	rmse=0.019989	lr=0.377392
Epoch[34] Batch [1049]	Speed: 1043.553263 samples/sec	rmse=0.020002	lr=0.377332
Epoch[34] Batch [1099]	Speed: 1041.288990 samples/sec	rmse=0.020004	lr=0.377273
Epoch[34] Batch [1149]	Speed: 1043.496313 samples/sec	rmse=0.020005	lr=0.377213
Epoch[34] Batch [1199]	Speed: 1046.547032 samples/sec	rmse=0.019997	lr=0.377153
Epoch[34] Batch [1249]	Speed: 1048.188979 samples/sec	rmse=0.019996	lr=0.377094
[Epoch 34] training: rmse=0.019996
[Epoch 34] speed: 1040 samples/sec	time cost: 1244.084794
[Epoch 34] validation: err-top1=0.387899 err-top5=0.151815
Epoch[35] Batch [49]	Speed: 1058.536868 samples/sec	rmse=0.019510	lr=0.377033
Epoch[35] Batch [99]	Speed: 1043.389625 samples/sec	rmse=0.019652	lr=0.376973
Epoch[35] Batch [149]	Speed: 1043.260587 samples/sec	rmse=0.019677	lr=0.376913
Epoch[35] Batch [199]	Speed: 1044.744258 samples/sec	rmse=0.019743	lr=0.376852
Epoch[35] Batch [249]	Speed: 1042.140634 samples/sec	rmse=0.019724	lr=0.376792
Epoch[35] Batch [299]	Speed: 1043.313305 samples/sec	rmse=0.019745	lr=0.376732
Epoch[35] Batch [349]	Speed: 1047.209897 samples/sec	rmse=0.019785	lr=0.376672
Epoch[35] Batch [399]	Speed: 1039.167591 samples/sec	rmse=0.019816	lr=0.376611
Epoch[35] Batch [449]	Speed: 1040.468666 samples/sec	rmse=0.019830	lr=0.376551
Epoch[35] Batch [499]	Speed: 1037.241894 samples/sec	rmse=0.019831	lr=0.376490
Epoch[35] Batch [549]	Speed: 1041.391886 samples/sec	rmse=0.019848	lr=0.376430
Epoch[35] Batch [599]	Speed: 1036.625210 samples/sec	rmse=0.019876	lr=0.376369
Epoch[35] Batch [649]	Speed: 1039.171825 samples/sec	rmse=0.019883	lr=0.376308
Epoch[35] Batch [699]	Speed: 1040.527323 samples/sec	rmse=0.019892	lr=0.376247
Epoch[35] Batch [749]	Speed: 1043.770888 samples/sec	rmse=0.019898	lr=0.376186
Epoch[35] Batch [799]	Speed: 1040.427431 samples/sec	rmse=0.019911	lr=0.376125
Epoch[35] Batch [849]	Speed: 1043.284312 samples/sec	rmse=0.019908	lr=0.376064
Epoch[35] Batch [899]	Speed: 1041.779846 samples/sec	rmse=0.019900	lr=0.376003
Epoch[35] Batch [949]	Speed: 1045.021803 samples/sec	rmse=0.019905	lr=0.375942
Epoch[35] Batch [999]	Speed: 1045.236953 samples/sec	rmse=0.019904	lr=0.375881
Epoch[35] Batch [1049]	Speed: 1044.594976 samples/sec	rmse=0.019905	lr=0.375819
Epoch[35] Batch [1099]	Speed: 1045.831214 samples/sec	rmse=0.019917	lr=0.375758
Epoch[35] Batch [1149]	Speed: 1045.542472 samples/sec	rmse=0.019927	lr=0.375697
Epoch[35] Batch [1199]	Speed: 1042.120537 samples/sec	rmse=0.019929	lr=0.375635
Epoch[35] Batch [1249]	Speed: 1044.221301 samples/sec	rmse=0.019931	lr=0.375573
[Epoch 35] training: rmse=0.019931
[Epoch 35] speed: 1042 samples/sec	time cost: 1243.302418
[Epoch 35] validation: err-top1=0.374183 err-top5=0.143555
Epoch[36] Batch [49]	Speed: 1056.585907 samples/sec	rmse=0.019714	lr=0.375510
Epoch[36] Batch [99]	Speed: 1045.907837 samples/sec	rmse=0.019699	lr=0.375449
Epoch[36] Batch [149]	Speed: 1046.405251 samples/sec	rmse=0.019815	lr=0.375387
Epoch[36] Batch [199]	Speed: 1042.520190 samples/sec	rmse=0.019865	lr=0.375325
Epoch[36] Batch [249]	Speed: 1046.028272 samples/sec	rmse=0.019898	lr=0.375263
Epoch[36] Batch [299]	Speed: 1045.232206 samples/sec	rmse=0.019891	lr=0.375201
Epoch[36] Batch [349]	Speed: 1047.104910 samples/sec	rmse=0.019889	lr=0.375139
Epoch[36] Batch [399]	Speed: 1044.356087 samples/sec	rmse=0.019908	lr=0.375076
Epoch[36] Batch [449]	Speed: 1044.438245 samples/sec	rmse=0.019925	lr=0.375014
Epoch[36] Batch [499]	Speed: 1045.080080 samples/sec	rmse=0.019925	lr=0.374952
Epoch[36] Batch [549]	Speed: 1046.706846 samples/sec	rmse=0.019924	lr=0.374889
Epoch[36] Batch [599]	Speed: 1045.132360 samples/sec	rmse=0.019923	lr=0.374827
Epoch[36] Batch [649]	Speed: 1045.382438 samples/sec	rmse=0.019939	lr=0.374764
Epoch[36] Batch [699]	Speed: 1045.432205 samples/sec	rmse=0.019918	lr=0.374702
Epoch[36] Batch [749]	Speed: 1042.851620 samples/sec	rmse=0.019928	lr=0.374639
Epoch[36] Batch [799]	Speed: 1037.882877 samples/sec	rmse=0.019939	lr=0.374576
Epoch[36] Batch [849]	Speed: 1033.941826 samples/sec	rmse=0.019950	lr=0.374513
Epoch[36] Batch [899]	Speed: 1042.612997 samples/sec	rmse=0.019956	lr=0.374450
Epoch[36] Batch [949]	Speed: 1034.852197 samples/sec	rmse=0.019965	lr=0.374387
Epoch[36] Batch [999]	Speed: 1042.733130 samples/sec	rmse=0.019971	lr=0.374324
Epoch[36] Batch [1049]	Speed: 1044.369790 samples/sec	rmse=0.019970	lr=0.374261
Epoch[36] Batch [1099]	Speed: 1038.328233 samples/sec	rmse=0.019954	lr=0.374198
Epoch[36] Batch [1149]	Speed: 1038.589023 samples/sec	rmse=0.019960	lr=0.374134
Epoch[36] Batch [1199]	Speed: 1038.451825 samples/sec	rmse=0.019961	lr=0.374071
Epoch[36] Batch [1249]	Speed: 1044.240566 samples/sec	rmse=0.019954	lr=0.374008
[Epoch 36] training: rmse=0.019953
[Epoch 36] speed: 1042 samples/sec	time cost: 1242.009556
[Epoch 36] validation: err-top1=0.385104 err-top5=0.151287
Epoch[37] Batch [49]	Speed: 1046.287033 samples/sec	rmse=0.019574	lr=0.373943
Epoch[37] Batch [99]	Speed: 1042.458545 samples/sec	rmse=0.019799	lr=0.373879
Epoch[37] Batch [149]	Speed: 1042.320737 samples/sec	rmse=0.019806	lr=0.373815
Epoch[37] Batch [199]	Speed: 1047.112451 samples/sec	rmse=0.019801	lr=0.373752
Epoch[37] Batch [249]	Speed: 1045.211002 samples/sec	rmse=0.019825	lr=0.373688
Epoch[37] Batch [299]	Speed: 1044.800129 samples/sec	rmse=0.019814	lr=0.373624
Epoch[37] Batch [349]	Speed: 1047.457583 samples/sec	rmse=0.019832	lr=0.373560
Epoch[37] Batch [399]	Speed: 1035.868983 samples/sec	rmse=0.019852	lr=0.373496
Epoch[37] Batch [449]	Speed: 1046.139012 samples/sec	rmse=0.019842	lr=0.373432
Epoch[37] Batch [499]	Speed: 1044.731775 samples/sec	rmse=0.019842	lr=0.373368
Epoch[37] Batch [549]	Speed: 1043.709206 samples/sec	rmse=0.019830	lr=0.373304
Epoch[37] Batch [599]	Speed: 1042.686491 samples/sec	rmse=0.019855	lr=0.373239
Epoch[37] Batch [649]	Speed: 1041.965275 samples/sec	rmse=0.019860	lr=0.373175
Epoch[37] Batch [699]	Speed: 1044.230431 samples/sec	rmse=0.019885	lr=0.373110
Epoch[37] Batch [749]	Speed: 1047.638277 samples/sec	rmse=0.019885	lr=0.373046
Epoch[37] Batch [799]	Speed: 1044.300888 samples/sec	rmse=0.019891	lr=0.372981
Epoch[37] Batch [849]	Speed: 1043.305245 samples/sec	rmse=0.019889	lr=0.372917
Epoch[37] Batch [899]	Speed: 1043.633727 samples/sec	rmse=0.019897	lr=0.372852
Epoch[37] Batch [949]	Speed: 1045.324602 samples/sec	rmse=0.019913	lr=0.372787
Epoch[37] Batch [999]	Speed: 1043.464349 samples/sec	rmse=0.019920	lr=0.372722
Epoch[37] Batch [1049]	Speed: 1045.491529 samples/sec	rmse=0.019913	lr=0.372657
Epoch[37] Batch [1099]	Speed: 1046.601898 samples/sec	rmse=0.019912	lr=0.372592
Epoch[37] Batch [1149]	Speed: 1045.839603 samples/sec	rmse=0.019911	lr=0.372527
Epoch[37] Batch [1199]	Speed: 1046.504519 samples/sec	rmse=0.019916	lr=0.372462
Epoch[37] Batch [1249]	Speed: 1046.745381 samples/sec	rmse=0.019921	lr=0.372397
[Epoch 37] training: rmse=0.019921
[Epoch 37] speed: 1043 samples/sec	time cost: 1240.794447
[Epoch 37] validation: err-top1=0.369161 err-top5=0.141342
Epoch[38] Batch [49]	Speed: 1056.121166 samples/sec	rmse=0.019759	lr=0.372330
Epoch[38] Batch [99]	Speed: 1034.621009 samples/sec	rmse=0.019830	lr=0.372265
Epoch[38] Batch [149]	Speed: 1039.638782 samples/sec	rmse=0.019818	lr=0.372199
Epoch[38] Batch [199]	Speed: 1042.328564 samples/sec	rmse=0.019818	lr=0.372134
Epoch[38] Batch [249]	Speed: 1038.653572 samples/sec	rmse=0.019823	lr=0.372068
Epoch[38] Batch [299]	Speed: 1039.445074 samples/sec	rmse=0.019869	lr=0.372002
Epoch[38] Batch [349]	Speed: 1045.040686 samples/sec	rmse=0.019862	lr=0.371936
Epoch[38] Batch [399]	Speed: 1040.715443 samples/sec	rmse=0.019837	lr=0.371871
Epoch[38] Batch [449]	Speed: 1034.436381 samples/sec	rmse=0.019862	lr=0.371805
Epoch[38] Batch [499]	Speed: 1046.807754 samples/sec	rmse=0.019841	lr=0.371739
Epoch[38] Batch [549]	Speed: 1041.931019 samples/sec	rmse=0.019867	lr=0.371673
Epoch[38] Batch [599]	Speed: 1042.109315 samples/sec	rmse=0.019865	lr=0.371607
Epoch[38] Batch [649]	Speed: 1039.845446 samples/sec	rmse=0.019853	lr=0.371540
Epoch[38] Batch [699]	Speed: 1043.105781 samples/sec	rmse=0.019873	lr=0.371474
Epoch[38] Batch [749]	Speed: 1042.884139 samples/sec	rmse=0.019877	lr=0.371408
Epoch[38] Batch [799]	Speed: 1043.685437 samples/sec	rmse=0.019881	lr=0.371342
Epoch[38] Batch [849]	Speed: 1043.740850 samples/sec	rmse=0.019885	lr=0.371275
Epoch[38] Batch [899]	Speed: 1044.562717 samples/sec	rmse=0.019894	lr=0.371209
Epoch[38] Batch [949]	Speed: 1044.313447 samples/sec	rmse=0.019901	lr=0.371142
Epoch[38] Batch [999]	Speed: 1042.208371 samples/sec	rmse=0.019905	lr=0.371075
Epoch[38] Batch [1049]	Speed: 1045.378505 samples/sec	rmse=0.019901	lr=0.371009
Epoch[38] Batch [1099]	Speed: 1042.399771 samples/sec	rmse=0.019893	lr=0.370942
Epoch[38] Batch [1149]	Speed: 1043.660872 samples/sec	rmse=0.019894	lr=0.370875
Epoch[38] Batch [1199]	Speed: 1045.562193 samples/sec	rmse=0.019893	lr=0.370808
Epoch[38] Batch [1249]	Speed: 1043.079389 samples/sec	rmse=0.019894	lr=0.370741
[Epoch 38] training: rmse=0.019894
[Epoch 38] speed: 1041 samples/sec	time cost: 1242.463695
[Epoch 38] validation: err-top1=0.365254 err-top5=0.138273
Epoch[39] Batch [49]	Speed: 1058.222447 samples/sec	rmse=0.019824	lr=0.370672
Epoch[39] Batch [99]	Speed: 1044.403430 samples/sec	rmse=0.019870	lr=0.370605
Epoch[39] Batch [149]	Speed: 1048.588063 samples/sec	rmse=0.019842	lr=0.370538
Epoch[39] Batch [199]	Speed: 1046.023712 samples/sec	rmse=0.019769	lr=0.370471
Epoch[39] Batch [249]	Speed: 1044.986197 samples/sec	rmse=0.019713	lr=0.370403
Epoch[39] Batch [299]	Speed: 1045.217438 samples/sec	rmse=0.019761	lr=0.370336
Epoch[39] Batch [349]	Speed: 1046.338435 samples/sec	rmse=0.019788	lr=0.370268
Epoch[39] Batch [399]	Speed: 1045.608550 samples/sec	rmse=0.019780	lr=0.370201
Epoch[39] Batch [449]	Speed: 1044.452585 samples/sec	rmse=0.019796	lr=0.370133
Epoch[39] Batch [499]	Speed: 1042.620453 samples/sec	rmse=0.019796	lr=0.370065
Epoch[39] Batch [549]	Speed: 1043.236767 samples/sec	rmse=0.019787	lr=0.369997
Epoch[39] Batch [599]	Speed: 1042.710165 samples/sec	rmse=0.019799	lr=0.369930
Epoch[39] Batch [649]	Speed: 1032.898900 samples/sec	rmse=0.019815	lr=0.369862
Epoch[39] Batch [699]	Speed: 1043.773272 samples/sec	rmse=0.019823	lr=0.369794
Epoch[39] Batch [749]	Speed: 1037.918643 samples/sec	rmse=0.019808	lr=0.369726
Epoch[39] Batch [799]	Speed: 1041.303936 samples/sec	rmse=0.019817	lr=0.369657
Epoch[39] Batch [849]	Speed: 1036.110688 samples/sec	rmse=0.019832	lr=0.369589
Epoch[39] Batch [899]	Speed: 1039.991943 samples/sec	rmse=0.019828	lr=0.369521
Epoch[39] Batch [949]	Speed: 1035.027281 samples/sec	rmse=0.019841	lr=0.369452
Epoch[39] Batch [999]	Speed: 1041.115851 samples/sec	rmse=0.019851	lr=0.369384
Epoch[39] Batch [1049]	Speed: 1034.294439 samples/sec	rmse=0.019855	lr=0.369316
Epoch[39] Batch [1099]	Speed: 1040.954475 samples/sec	rmse=0.019859	lr=0.369247
Epoch[39] Batch [1149]	Speed: 1043.591840 samples/sec	rmse=0.019870	lr=0.369178
Epoch[39] Batch [1199]	Speed: 1042.139784 samples/sec	rmse=0.019869	lr=0.369110
Epoch[39] Batch [1249]	Speed: 1036.320978 samples/sec	rmse=0.019874	lr=0.369041
[Epoch 39] training: rmse=0.019873
[Epoch 39] speed: 1041 samples/sec	time cost: 1243.030654
[Epoch 39] validation: err-top1=0.383789 err-top5=0.157127
Epoch[40] Batch [49]	Speed: 1050.704934 samples/sec	rmse=0.019740	lr=0.368971
Epoch[40] Batch [99]	Speed: 1043.670910 samples/sec	rmse=0.019730	lr=0.368902
Epoch[40] Batch [149]	Speed: 1037.295808 samples/sec	rmse=0.019790	lr=0.368833
Epoch[40] Batch [199]	Speed: 1044.353350 samples/sec	rmse=0.019776	lr=0.368764
Epoch[40] Batch [249]	Speed: 1043.720919 samples/sec	rmse=0.019805	lr=0.368694
Epoch[40] Batch [299]	Speed: 1042.998504 samples/sec	rmse=0.019775	lr=0.368625
Epoch[40] Batch [349]	Speed: 1037.149414 samples/sec	rmse=0.019760	lr=0.368556
Epoch[40] Batch [399]	Speed: 1043.289026 samples/sec	rmse=0.019785	lr=0.368487
Epoch[40] Batch [449]	Speed: 1042.602337 samples/sec	rmse=0.019780	lr=0.368417
Epoch[40] Batch [499]	Speed: 1041.536773 samples/sec	rmse=0.019768	lr=0.368348
Epoch[40] Batch [549]	Speed: 1043.960390 samples/sec	rmse=0.019767	lr=0.368278
Epoch[40] Batch [599]	Speed: 1043.586221 samples/sec	rmse=0.019788	lr=0.368208
Epoch[40] Batch [649]	Speed: 1037.998933 samples/sec	rmse=0.019788	lr=0.368139
Epoch[40] Batch [699]	Speed: 1037.717046 samples/sec	rmse=0.019780	lr=0.368069
Epoch[40] Batch [749]	Speed: 1041.588164 samples/sec	rmse=0.019782	lr=0.367999
Epoch[40] Batch [799]	Speed: 1040.169647 samples/sec	rmse=0.019793	lr=0.367929
Epoch[40] Batch [849]	Speed: 1039.807982 samples/sec	rmse=0.019785	lr=0.367859
Epoch[40] Batch [899]	Speed: 1044.307912 samples/sec	rmse=0.019793	lr=0.367789
Epoch[40] Batch [949]	Speed: 1045.499042 samples/sec	rmse=0.019807	lr=0.367719
Epoch[40] Batch [999]	Speed: 1043.056849 samples/sec	rmse=0.019812	lr=0.367649
Epoch[40] Batch [1049]	Speed: 1044.077515 samples/sec	rmse=0.019824	lr=0.367579
Epoch[40] Batch [1099]	Speed: 1041.773812 samples/sec	rmse=0.019834	lr=0.367508
Epoch[40] Batch [1149]	Speed: 1043.158447 samples/sec	rmse=0.019839	lr=0.367438
Epoch[40] Batch [1199]	Speed: 1039.886680 samples/sec	rmse=0.019846	lr=0.367367
Epoch[40] Batch [1249]	Speed: 1048.126544 samples/sec	rmse=0.019865	lr=0.367297
[Epoch 40] training: rmse=0.019865
[Epoch 40] speed: 1041 samples/sec	time cost: 1242.808555
[Epoch 40] validation: err-top1=0.378560 err-top5=0.147135
Epoch[41] Batch [49]	Speed: 1050.853340 samples/sec	rmse=0.019618	lr=0.367225
Epoch[41] Batch [99]	Speed: 1043.144442 samples/sec	rmse=0.019604	lr=0.367154
Epoch[41] Batch [149]	Speed: 1034.497260 samples/sec	rmse=0.019583	lr=0.367083
Epoch[41] Batch [199]	Speed: 1033.758694 samples/sec	rmse=0.019645	lr=0.367013
Epoch[41] Batch [249]	Speed: 1034.477825 samples/sec	rmse=0.019672	lr=0.366942
Epoch[41] Batch [299]	Speed: 1036.630664 samples/sec	rmse=0.019693	lr=0.366871
Epoch[41] Batch [349]	Speed: 1040.316718 samples/sec	rmse=0.019718	lr=0.366800
Epoch[41] Batch [399]	Speed: 1041.109925 samples/sec	rmse=0.019725	lr=0.366729
Epoch[41] Batch [449]	Speed: 1044.196107 samples/sec	rmse=0.019722	lr=0.366657
Epoch[41] Batch [499]	Speed: 1040.662922 samples/sec	rmse=0.019752	lr=0.366586
Epoch[41] Batch [549]	Speed: 1036.397379 samples/sec	rmse=0.019769	lr=0.366515
Epoch[41] Batch [599]	Speed: 1044.506175 samples/sec	rmse=0.019751	lr=0.366444
Epoch[41] Batch [649]	Speed: 1043.907273 samples/sec	rmse=0.019761	lr=0.366372
Epoch[41] Batch [699]	Speed: 1036.443408 samples/sec	rmse=0.019774	lr=0.366301
Epoch[41] Batch [749]	Speed: 1039.194690 samples/sec	rmse=0.019773	lr=0.366229
Epoch[41] Batch [799]	Speed: 1045.166410 samples/sec	rmse=0.019787	lr=0.366157
Epoch[41] Batch [849]	Speed: 1042.439690 samples/sec	rmse=0.019791	lr=0.366086
Epoch[41] Batch [899]	Speed: 1040.141735 samples/sec	rmse=0.019786	lr=0.366014
Epoch[41] Batch [949]	Speed: 1046.544615 samples/sec	rmse=0.019788	lr=0.365942
Epoch[41] Batch [999]	Speed: 1042.699756 samples/sec	rmse=0.019792	lr=0.365870
Epoch[41] Batch [1049]	Speed: 1041.001530 samples/sec	rmse=0.019797	lr=0.365798
Epoch[41] Batch [1099]	Speed: 1042.030760 samples/sec	rmse=0.019804	lr=0.365726
Epoch[41] Batch [1149]	Speed: 1043.514466 samples/sec	rmse=0.019810	lr=0.365654
Epoch[41] Batch [1199]	Speed: 1039.904547 samples/sec	rmse=0.019814	lr=0.365582
Epoch[41] Batch [1249]	Speed: 1045.545475 samples/sec	rmse=0.019815	lr=0.365510
[Epoch 41] training: rmse=0.019814
[Epoch 41] speed: 1040 samples/sec	time cost: 1244.433327
[Epoch 41] validation: err-top1=0.394053 err-top5=0.158622
Epoch[42] Batch [49]	Speed: 1055.724876 samples/sec	rmse=0.019820	lr=0.365436
Epoch[42] Batch [99]	Speed: 1043.914529 samples/sec	rmse=0.019813	lr=0.365363
Epoch[42] Batch [149]	Speed: 1046.716371 samples/sec	rmse=0.019761	lr=0.365291
Epoch[42] Batch [199]	Speed: 1045.032478 samples/sec	rmse=0.019799	lr=0.365218
Epoch[42] Batch [249]	Speed: 1042.773622 samples/sec	rmse=0.019792	lr=0.365146
Epoch[42] Batch [299]	Speed: 1045.301064 samples/sec	rmse=0.019820	lr=0.365073
Epoch[42] Batch [349]	Speed: 1046.233260 samples/sec	rmse=0.019802	lr=0.365000
Epoch[42] Batch [399]	Speed: 1043.324866 samples/sec	rmse=0.019811	lr=0.364927
Epoch[42] Batch [449]	Speed: 1044.769097 samples/sec	rmse=0.019805	lr=0.364855
Epoch[42] Batch [499]	Speed: 1042.725151 samples/sec	rmse=0.019779	lr=0.364782
Epoch[42] Batch [549]	Speed: 1043.942668 samples/sec	rmse=0.019777	lr=0.364709
Epoch[42] Batch [599]	Speed: 1037.885611 samples/sec	rmse=0.019792	lr=0.364636
Epoch[42] Batch [649]	Speed: 1040.662630 samples/sec	rmse=0.019795	lr=0.364562
Epoch[42] Batch [699]	Speed: 1045.712983 samples/sec	rmse=0.019785	lr=0.364489
Epoch[42] Batch [749]	Speed: 1041.227067 samples/sec	rmse=0.019795	lr=0.364416
Epoch[42] Batch [799]	Speed: 1043.236113 samples/sec	rmse=0.019808	lr=0.364343
Epoch[42] Batch [849]	Speed: 1042.979275 samples/sec	rmse=0.019811	lr=0.364269
Epoch[42] Batch [899]	Speed: 1040.804524 samples/sec	rmse=0.019813	lr=0.364196
Epoch[42] Batch [949]	Speed: 1035.597091 samples/sec	rmse=0.019807	lr=0.364122
Epoch[42] Batch [999]	Speed: 1040.816318 samples/sec	rmse=0.019808	lr=0.364048
Epoch[42] Batch [1049]	Speed: 1046.310707 samples/sec	rmse=0.019815	lr=0.363975
Epoch[42] Batch [1099]	Speed: 1036.976627 samples/sec	rmse=0.019814	lr=0.363901
Epoch[42] Batch [1149]	Speed: 1042.203996 samples/sec	rmse=0.019814	lr=0.363827
Epoch[42] Batch [1199]	Speed: 1036.709628 samples/sec	rmse=0.019812	lr=0.363753
Epoch[42] Batch [1249]	Speed: 1040.821342 samples/sec	rmse=0.019804	lr=0.363679
[Epoch 42] training: rmse=0.019804
[Epoch 42] speed: 1042 samples/sec	time cost: 1243.871148
[Epoch 42] validation: err-top1=0.369659 err-top5=0.141123
Epoch[43] Batch [49]	Speed: 1052.353172 samples/sec	rmse=0.019508	lr=0.363604
Epoch[43] Batch [99]	Speed: 1039.662785 samples/sec	rmse=0.019580	lr=0.363530
Epoch[43] Batch [149]	Speed: 1037.060647 samples/sec	rmse=0.019611	lr=0.363455
Epoch[43] Batch [199]	Speed: 1042.847529 samples/sec	rmse=0.019670	lr=0.363381
Epoch[43] Batch [249]	Speed: 1041.680725 samples/sec	rmse=0.019651	lr=0.363307
Epoch[43] Batch [299]	Speed: 1040.537306 samples/sec	rmse=0.019653	lr=0.363232
Epoch[43] Batch [349]	Speed: 1036.525790 samples/sec	rmse=0.019674	lr=0.363158
Epoch[43] Batch [399]	Speed: 1038.140277 samples/sec	rmse=0.019675	lr=0.363084
Epoch[43] Batch [449]	Speed: 1044.005575 samples/sec	rmse=0.019671	lr=0.363009
Epoch[43] Batch [499]	Speed: 1044.548861 samples/sec	rmse=0.019668	lr=0.362934
Epoch[43] Batch [549]	Speed: 1041.802625 samples/sec	rmse=0.019668	lr=0.362860
Epoch[43] Batch [599]	Speed: 1042.354852 samples/sec	rmse=0.019696	lr=0.362785
Epoch[43] Batch [649]	Speed: 1044.642305 samples/sec	rmse=0.019711	lr=0.362710
Epoch[43] Batch [699]	Speed: 1043.759397 samples/sec	rmse=0.019729	lr=0.362635
Epoch[43] Batch [749]	Speed: 1045.260371 samples/sec	rmse=0.019730	lr=0.362560
Epoch[43] Batch [799]	Speed: 1044.234112 samples/sec	rmse=0.019736	lr=0.362485
Epoch[43] Batch [849]	Speed: 1044.241775 samples/sec	rmse=0.019729	lr=0.362410
Epoch[43] Batch [899]	Speed: 1043.814331 samples/sec	rmse=0.019740	lr=0.362335
Epoch[43] Batch [949]	Speed: 1040.771378 samples/sec	rmse=0.019747	lr=0.362259
Epoch[43] Batch [999]	Speed: 1044.468165 samples/sec	rmse=0.019757	lr=0.362184
Epoch[43] Batch [1049]	Speed: 1038.264879 samples/sec	rmse=0.019765	lr=0.362109
Epoch[43] Batch [1099]	Speed: 1034.357877 samples/sec	rmse=0.019756	lr=0.362033
Epoch[43] Batch [1149]	Speed: 1042.109780 samples/sec	rmse=0.019769	lr=0.361958
Epoch[43] Batch [1199]	Speed: 1039.395750 samples/sec	rmse=0.019774	lr=0.361882
Epoch[43] Batch [1249]	Speed: 1044.864364 samples/sec	rmse=0.019777	lr=0.361806
[Epoch 43] training: rmse=0.019777
[Epoch 43] speed: 1041 samples/sec	time cost: 1243.746197
[Epoch 43] validation: err-top1=0.367905 err-top5=0.140485
Epoch[44] Batch [49]	Speed: 1051.086120 samples/sec	rmse=0.019514	lr=0.361729
Epoch[44] Batch [99]	Speed: 1037.490570 samples/sec	rmse=0.019666	lr=0.361653
Epoch[44] Batch [149]	Speed: 1030.371721 samples/sec	rmse=0.019678	lr=0.361578
Epoch[44] Batch [199]	Speed: 1028.466684 samples/sec	rmse=0.019671	lr=0.361502
Epoch[44] Batch [249]	Speed: 1044.605581 samples/sec	rmse=0.019680	lr=0.361426
Epoch[44] Batch [299]	Speed: 1036.169114 samples/sec	rmse=0.019690	lr=0.361350
Epoch[44] Batch [349]	Speed: 1041.964567 samples/sec	rmse=0.019686	lr=0.361273
Epoch[44] Batch [399]	Speed: 1037.018985 samples/sec	rmse=0.019725	lr=0.361197
Epoch[44] Batch [449]	Speed: 1039.326200 samples/sec	rmse=0.019728	lr=0.361121
Epoch[44] Batch [499]	Speed: 1046.227378 samples/sec	rmse=0.019735	lr=0.361045
Epoch[44] Batch [549]	Speed: 1041.224255 samples/sec	rmse=0.019731	lr=0.360968
Epoch[44] Batch [599]	Speed: 1043.347682 samples/sec	rmse=0.019733	lr=0.360892
Epoch[44] Batch [649]	Speed: 1039.361532 samples/sec	rmse=0.019740	lr=0.360815
Epoch[44] Batch [699]	Speed: 1041.833531 samples/sec	rmse=0.019739	lr=0.360739
Epoch[44] Batch [749]	Speed: 1044.754479 samples/sec	rmse=0.019747	lr=0.360662
Epoch[44] Batch [799]	Speed: 1043.205240 samples/sec	rmse=0.019749	lr=0.360585
Epoch[44] Batch [849]	Speed: 1035.016580 samples/sec	rmse=0.019761	lr=0.360508
Epoch[44] Batch [899]	Speed: 1038.487675 samples/sec	rmse=0.019764	lr=0.360432
Epoch[44] Batch [949]	Speed: 1043.400646 samples/sec	rmse=0.019772	lr=0.360355
Epoch[44] Batch [999]	Speed: 1043.796777 samples/sec	rmse=0.019777	lr=0.360278
Epoch[44] Batch [1049]	Speed: 1042.782822 samples/sec	rmse=0.019783	lr=0.360201
Epoch[44] Batch [1099]	Speed: 1041.518229 samples/sec	rmse=0.019788	lr=0.360123
Epoch[44] Batch [1149]	Speed: 1045.080898 samples/sec	rmse=0.019791	lr=0.360046
Epoch[44] Batch [1199]	Speed: 1044.811531 samples/sec	rmse=0.019789	lr=0.359969
Epoch[44] Batch [1249]	Speed: 1049.041707 samples/sec	rmse=0.019791	lr=0.359892
[Epoch 44] training: rmse=0.019791
[Epoch 44] speed: 1040 samples/sec	time cost: 1244.314863
[Epoch 44] validation: err-top1=0.396126 err-top5=0.164322
Epoch[45] Batch [49]	Speed: 1053.677104 samples/sec	rmse=0.019594	lr=0.359813
Epoch[45] Batch [99]	Speed: 1042.483144 samples/sec	rmse=0.019677	lr=0.359735
Epoch[45] Batch [149]	Speed: 1043.665062 samples/sec	rmse=0.019699	lr=0.359658
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Epoch[45] Batch [449]	Speed: 1044.559795 samples/sec	rmse=0.019709	lr=0.359191
Epoch[45] Batch [499]	Speed: 1037.120393 samples/sec	rmse=0.019728	lr=0.359113
Epoch[45] Batch [549]	Speed: 1035.316083 samples/sec	rmse=0.019732	lr=0.359035
Epoch[45] Batch [599]	Speed: 1035.183276 samples/sec	rmse=0.019741	lr=0.358957
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Epoch[45] Batch [699]	Speed: 1040.578242 samples/sec	rmse=0.019766	lr=0.358801
Epoch[45] Batch [749]	Speed: 1035.942544 samples/sec	rmse=0.019777	lr=0.358722
Epoch[45] Batch [799]	Speed: 1043.275437 samples/sec	rmse=0.019769	lr=0.358644
Epoch[45] Batch [849]	Speed: 1034.541799 samples/sec	rmse=0.019777	lr=0.358565
Epoch[45] Batch [899]	Speed: 1042.932098 samples/sec	rmse=0.019777	lr=0.358487
Epoch[45] Batch [949]	Speed: 1038.166751 samples/sec	rmse=0.019786	lr=0.358408
Epoch[45] Batch [999]	Speed: 1039.261794 samples/sec	rmse=0.019793	lr=0.358330
Epoch[45] Batch [1049]	Speed: 1043.958081 samples/sec	rmse=0.019787	lr=0.358251
Epoch[45] Batch [1099]	Speed: 1040.390454 samples/sec	rmse=0.019791	lr=0.358172
Epoch[45] Batch [1149]	Speed: 1039.891308 samples/sec	rmse=0.019795	lr=0.358093
Epoch[45] Batch [1199]	Speed: 1036.004715 samples/sec	rmse=0.019807	lr=0.358014
Epoch[45] Batch [1249]	Speed: 1042.667198 samples/sec	rmse=0.019813	lr=0.357935
[Epoch 45] training: rmse=0.019813
[Epoch 45] speed: 1039 samples/sec	time cost: 1245.900789
[Epoch 45] validation: err-top1=0.361288 err-top5=0.138094
Epoch[46] Batch [49]	Speed: 1049.701051 samples/sec	rmse=0.019786	lr=0.357855
Epoch[46] Batch [99]	Speed: 1042.194159 samples/sec	rmse=0.019726	lr=0.357776
Epoch[46] Batch [149]	Speed: 1040.921284 samples/sec	rmse=0.019674	lr=0.357696
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Epoch[46] Batch [399]	Speed: 1042.289306 samples/sec	rmse=0.019702	lr=0.357300
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Epoch[46] Batch [599]	Speed: 1040.835513 samples/sec	rmse=0.019715	lr=0.356981
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Epoch[46] Batch [699]	Speed: 1042.166629 samples/sec	rmse=0.019719	lr=0.356821
Epoch[46] Batch [749]	Speed: 1033.749354 samples/sec	rmse=0.019725	lr=0.356741
Epoch[46] Batch [799]	Speed: 1041.519926 samples/sec	rmse=0.019729	lr=0.356661
Epoch[46] Batch [849]	Speed: 1041.600435 samples/sec	rmse=0.019742	lr=0.356581
Epoch[46] Batch [899]	Speed: 1031.817138 samples/sec	rmse=0.019751	lr=0.356501
Epoch[46] Batch [949]	Speed: 1041.532060 samples/sec	rmse=0.019760	lr=0.356421
Epoch[46] Batch [999]	Speed: 1041.156459 samples/sec	rmse=0.019761	lr=0.356340
Epoch[46] Batch [1049]	Speed: 1036.562869 samples/sec	rmse=0.019767	lr=0.356260
Epoch[46] Batch [1099]	Speed: 1039.204733 samples/sec	rmse=0.019770	lr=0.356180
Epoch[46] Batch [1149]	Speed: 1041.662646 samples/sec	rmse=0.019776	lr=0.356099
Epoch[46] Batch [1199]	Speed: 1032.666015 samples/sec	rmse=0.019780	lr=0.356019
Epoch[46] Batch [1249]	Speed: 1044.291580 samples/sec	rmse=0.019779	lr=0.355938
[Epoch 46] training: rmse=0.019779
[Epoch 46] speed: 1040 samples/sec	time cost: 1244.191856
[Epoch 46] validation: err-top1=0.362752 err-top5=0.138184
Epoch[47] Batch [49]	Speed: 1048.330431 samples/sec	rmse=0.019535	lr=0.355856
Epoch[47] Batch [99]	Speed: 1032.235416 samples/sec	rmse=0.019492	lr=0.355775
Epoch[47] Batch [149]	Speed: 1041.468203 samples/sec	rmse=0.019504	lr=0.355694
Epoch[47] Batch [199]	Speed: 1044.718698 samples/sec	rmse=0.019492	lr=0.355613
Epoch[47] Batch [249]	Speed: 1041.845020 samples/sec	rmse=0.019528	lr=0.355532
Epoch[47] Batch [299]	Speed: 1039.164860 samples/sec	rmse=0.019542	lr=0.355451
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Epoch[47] Batch [399]	Speed: 1040.168452 samples/sec	rmse=0.019616	lr=0.355289
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Epoch[47] Batch [499]	Speed: 1045.300300 samples/sec	rmse=0.019643	lr=0.355127
Epoch[47] Batch [549]	Speed: 1041.911485 samples/sec	rmse=0.019669	lr=0.355046
Epoch[47] Batch [599]	Speed: 1044.218544 samples/sec	rmse=0.019671	lr=0.354964
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Epoch[47] Batch [699]	Speed: 1041.244767 samples/sec	rmse=0.019701	lr=0.354801
Epoch[47] Batch [749]	Speed: 1039.004028 samples/sec	rmse=0.019709	lr=0.354720
Epoch[47] Batch [799]	Speed: 1041.514759 samples/sec	rmse=0.019715	lr=0.354638
Epoch[47] Batch [849]	Speed: 1041.659604 samples/sec	rmse=0.019725	lr=0.354556
Epoch[47] Batch [899]	Speed: 1041.049482 samples/sec	rmse=0.019734	lr=0.354475
Epoch[47] Batch [949]	Speed: 1042.184938 samples/sec	rmse=0.019739	lr=0.354393
Epoch[47] Batch [999]	Speed: 1044.878203 samples/sec	rmse=0.019745	lr=0.354311
Epoch[47] Batch [1049]	Speed: 1045.948392 samples/sec	rmse=0.019748	lr=0.354229
Epoch[47] Batch [1099]	Speed: 1044.329734 samples/sec	rmse=0.019741	lr=0.354147
Epoch[47] Batch [1149]	Speed: 1044.574123 samples/sec	rmse=0.019732	lr=0.354065
Epoch[47] Batch [1199]	Speed: 1045.754984 samples/sec	rmse=0.019739	lr=0.353983
Epoch[47] Batch [1249]	Speed: 1046.634564 samples/sec	rmse=0.019738	lr=0.353900
[Epoch 47] training: rmse=0.019739
[Epoch 47] speed: 1041 samples/sec	time cost: 1243.163636
[Epoch 47] validation: err-top1=0.392379 err-top5=0.162946
Epoch[48] Batch [49]	Speed: 1053.387083 samples/sec	rmse=0.019564	lr=0.353816
Epoch[48] Batch [99]	Speed: 1041.085476 samples/sec	rmse=0.019560	lr=0.353734
Epoch[48] Batch [149]	Speed: 1044.239683 samples/sec	rmse=0.019654	lr=0.353652
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Epoch[48] Batch [249]	Speed: 1041.839131 samples/sec	rmse=0.019713	lr=0.353487
Epoch[48] Batch [299]	Speed: 1037.553950 samples/sec	rmse=0.019672	lr=0.353404
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Epoch[48] Batch [399]	Speed: 1044.027390 samples/sec	rmse=0.019677	lr=0.353239
Epoch[48] Batch [449]	Speed: 1039.635238 samples/sec	rmse=0.019682	lr=0.353156
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Epoch[48] Batch [549]	Speed: 1037.186522 samples/sec	rmse=0.019705	lr=0.352990
Epoch[48] Batch [599]	Speed: 1042.142531 samples/sec	rmse=0.019718	lr=0.352907
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Epoch[48] Batch [699]	Speed: 1043.235936 samples/sec	rmse=0.019740	lr=0.352741
Epoch[48] Batch [749]	Speed: 1046.543003 samples/sec	rmse=0.019746	lr=0.352658
Epoch[48] Batch [799]	Speed: 1042.977259 samples/sec	rmse=0.019742	lr=0.352575
Epoch[48] Batch [849]	Speed: 1040.758158 samples/sec	rmse=0.019746	lr=0.352491
Epoch[48] Batch [899]	Speed: 1036.210437 samples/sec	rmse=0.019748	lr=0.352408
Epoch[48] Batch [949]	Speed: 1043.707000 samples/sec	rmse=0.019747	lr=0.352325
Epoch[48] Batch [999]	Speed: 1042.008406 samples/sec	rmse=0.019745	lr=0.352241
Epoch[48] Batch [1049]	Speed: 1041.732929 samples/sec	rmse=0.019749	lr=0.352157
Epoch[48] Batch [1099]	Speed: 1040.929322 samples/sec	rmse=0.019751	lr=0.352074
Epoch[48] Batch [1149]	Speed: 1039.787969 samples/sec	rmse=0.019751	lr=0.351990
Epoch[48] Batch [1199]	Speed: 1045.427517 samples/sec	rmse=0.019748	lr=0.351906
Epoch[48] Batch [1249]	Speed: 1045.111740 samples/sec	rmse=0.019756	lr=0.351823
[Epoch 48] training: rmse=0.019757
[Epoch 48] speed: 1041 samples/sec	time cost: 1243.204089
[Epoch 48] validation: err-top1=0.373685 err-top5=0.145588
Epoch[49] Batch [49]	Speed: 1055.845548 samples/sec	rmse=0.019494	lr=0.351737
Epoch[49] Batch [99]	Speed: 1045.490277 samples/sec	rmse=0.019507	lr=0.351653
Epoch[49] Batch [149]	Speed: 1045.227500 samples/sec	rmse=0.019538	lr=0.351569
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Epoch[49] Batch [399]	Speed: 1044.933544 samples/sec	rmse=0.019556	lr=0.351148
Epoch[49] Batch [449]	Speed: 1040.941613 samples/sec	rmse=0.019554	lr=0.351064
Epoch[49] Batch [499]	Speed: 1042.296737 samples/sec	rmse=0.019569	lr=0.350980
Epoch[49] Batch [549]	Speed: 1036.022853 samples/sec	rmse=0.019583	lr=0.350895
Epoch[49] Batch [599]	Speed: 1040.879393 samples/sec	rmse=0.019602	lr=0.350810
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Epoch[49] Batch [749]	Speed: 1039.315290 samples/sec	rmse=0.019635	lr=0.350556
Epoch[49] Batch [799]	Speed: 1038.780151 samples/sec	rmse=0.019637	lr=0.350472
Epoch[49] Batch [849]	Speed: 1042.856310 samples/sec	rmse=0.019649	lr=0.350387
Epoch[49] Batch [899]	Speed: 1038.315722 samples/sec	rmse=0.019654	lr=0.350302
Epoch[49] Batch [949]	Speed: 1030.806284 samples/sec	rmse=0.019670	lr=0.350217
Epoch[49] Batch [999]	Speed: 1038.427722 samples/sec	rmse=0.019681	lr=0.350132
Epoch[49] Batch [1049]	Speed: 1043.360694 samples/sec	rmse=0.019683	lr=0.350047
Epoch[49] Batch [1099]	Speed: 1038.793889 samples/sec	rmse=0.019689	lr=0.349961
Epoch[49] Batch [1149]	Speed: 1033.975837 samples/sec	rmse=0.019694	lr=0.349876
Epoch[49] Batch [1199]	Speed: 1035.868808 samples/sec	rmse=0.019694	lr=0.349791
Epoch[49] Batch [1249]	Speed: 1043.752158 samples/sec	rmse=0.019700	lr=0.349706
[Epoch 49] training: rmse=0.019699
[Epoch 49] speed: 1040 samples/sec	time cost: 1244.252162
[Epoch 49] validation: err-top1=0.357123 err-top5=0.133410
Epoch[50] Batch [49]	Speed: 1050.391079 samples/sec	rmse=0.019425	lr=0.349618
Epoch[50] Batch [99]	Speed: 1044.069053 samples/sec	rmse=0.019468	lr=0.349533
Epoch[50] Batch [149]	Speed: 1040.077359 samples/sec	rmse=0.019488	lr=0.349447
Epoch[50] Batch [199]	Speed: 1042.947156 samples/sec	rmse=0.019552	lr=0.349362
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Epoch[50] Batch [399]	Speed: 1040.030766 samples/sec	rmse=0.019579	lr=0.349019
Epoch[50] Batch [449]	Speed: 1040.178710 samples/sec	rmse=0.019593	lr=0.348933
Epoch[50] Batch [499]	Speed: 1039.272512 samples/sec	rmse=0.019602	lr=0.348847
Epoch[50] Batch [549]	Speed: 1043.067564 samples/sec	rmse=0.019599	lr=0.348761
Epoch[50] Batch [599]	Speed: 1045.041794 samples/sec	rmse=0.019608	lr=0.348675
Epoch[50] Batch [649]	Speed: 1046.116818 samples/sec	rmse=0.019613	lr=0.348588
Epoch[50] Batch [699]	Speed: 1042.601375 samples/sec	rmse=0.019608	lr=0.348502
Epoch[50] Batch [749]	Speed: 1047.317516 samples/sec	rmse=0.019602	lr=0.348416
Epoch[50] Batch [799]	Speed: 1041.193566 samples/sec	rmse=0.019611	lr=0.348330
Epoch[50] Batch [849]	Speed: 1040.341575 samples/sec	rmse=0.019620	lr=0.348243
Epoch[50] Batch [899]	Speed: 1043.984852 samples/sec	rmse=0.019629	lr=0.348157
Epoch[50] Batch [949]	Speed: 1040.883137 samples/sec	rmse=0.019629	lr=0.348070
Epoch[50] Batch [999]	Speed: 1042.850871 samples/sec	rmse=0.019627	lr=0.347984
Epoch[50] Batch [1049]	Speed: 1044.758687 samples/sec	rmse=0.019632	lr=0.347897
Epoch[50] Batch [1099]	Speed: 1044.994557 samples/sec	rmse=0.019635	lr=0.347810
Epoch[50] Batch [1149]	Speed: 1040.964123 samples/sec	rmse=0.019637	lr=0.347723
Epoch[50] Batch [1199]	Speed: 1042.281429 samples/sec	rmse=0.019634	lr=0.347637
Epoch[50] Batch [1249]	Speed: 1045.107519 samples/sec	rmse=0.019636	lr=0.347550
[Epoch 50] training: rmse=0.019636
[Epoch 50] speed: 1042 samples/sec	time cost: 1243.780250
[Epoch 50] validation: err-top1=0.362345 err-top5=0.140027
Epoch[51] Batch [49]	Speed: 1050.657045 samples/sec	rmse=0.019511	lr=0.347461
Epoch[51] Batch [99]	Speed: 1042.759398 samples/sec	rmse=0.019597	lr=0.347374
Epoch[51] Batch [149]	Speed: 1036.009143 samples/sec	rmse=0.019633	lr=0.347287
Epoch[51] Batch [199]	Speed: 1035.550669 samples/sec	rmse=0.019613	lr=0.347200
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Epoch[51] Batch [299]	Speed: 1037.218418 samples/sec	rmse=0.019654	lr=0.347025
Epoch[51] Batch [349]	Speed: 1036.702812 samples/sec	rmse=0.019647	lr=0.346938
Epoch[51] Batch [399]	Speed: 1041.423379 samples/sec	rmse=0.019652	lr=0.346850
Epoch[51] Batch [449]	Speed: 1041.109077 samples/sec	rmse=0.019640	lr=0.346763
Epoch[51] Batch [499]	Speed: 1038.735538 samples/sec	rmse=0.019654	lr=0.346675
Epoch[51] Batch [549]	Speed: 1038.871821 samples/sec	rmse=0.019666	lr=0.346588
Epoch[51] Batch [599]	Speed: 1043.000105 samples/sec	rmse=0.019667	lr=0.346500
Epoch[51] Batch [649]	Speed: 1040.351014 samples/sec	rmse=0.019674	lr=0.346413
Epoch[51] Batch [699]	Speed: 1041.869312 samples/sec	rmse=0.019673	lr=0.346325
Epoch[51] Batch [749]	Speed: 1039.729093 samples/sec	rmse=0.019682	lr=0.346237
Epoch[51] Batch [799]	Speed: 1040.113967 samples/sec	rmse=0.019671	lr=0.346149
Epoch[51] Batch [849]	Speed: 1037.767404 samples/sec	rmse=0.019671	lr=0.346061
Epoch[51] Batch [899]	Speed: 1037.751025 samples/sec	rmse=0.019677	lr=0.345973
Epoch[51] Batch [949]	Speed: 1034.036607 samples/sec	rmse=0.019677	lr=0.345885
Epoch[51] Batch [999]	Speed: 1039.803158 samples/sec	rmse=0.019687	lr=0.345797
Epoch[51] Batch [1049]	Speed: 1041.414334 samples/sec	rmse=0.019684	lr=0.345709
Epoch[51] Batch [1099]	Speed: 1042.847346 samples/sec	rmse=0.019686	lr=0.345620
Epoch[51] Batch [1149]	Speed: 1044.784504 samples/sec	rmse=0.019700	lr=0.345532
Epoch[51] Batch [1199]	Speed: 1041.079486 samples/sec	rmse=0.019701	lr=0.345444
Epoch[51] Batch [1249]	Speed: 1044.441882 samples/sec	rmse=0.019699	lr=0.345355
[Epoch 51] training: rmse=0.019698
[Epoch 51] speed: 1039 samples/sec	time cost: 1245.439579
[Epoch 51] validation: err-top1=0.358976 err-top5=0.134805
Epoch[52] Batch [49]	Speed: 1057.266196 samples/sec	rmse=0.019398	lr=0.345265
Epoch[52] Batch [99]	Speed: 1042.732675 samples/sec	rmse=0.019462	lr=0.345177
Epoch[52] Batch [149]	Speed: 1040.088054 samples/sec	rmse=0.019521	lr=0.345088
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Epoch[52] Batch [399]	Speed: 1041.491089 samples/sec	rmse=0.019529	lr=0.344644
Epoch[52] Batch [449]	Speed: 1036.483097 samples/sec	rmse=0.019543	lr=0.344555
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Epoch[52] Batch [649]	Speed: 1036.152861 samples/sec	rmse=0.019575	lr=0.344199
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Epoch[52] Batch [749]	Speed: 1036.966492 samples/sec	rmse=0.019591	lr=0.344020
Epoch[52] Batch [799]	Speed: 1039.313766 samples/sec	rmse=0.019597	lr=0.343931
Epoch[52] Batch [849]	Speed: 1039.074310 samples/sec	rmse=0.019597	lr=0.343841
Epoch[52] Batch [899]	Speed: 1042.822168 samples/sec	rmse=0.019588	lr=0.343752
Epoch[52] Batch [949]	Speed: 1038.441611 samples/sec	rmse=0.019597	lr=0.343662
Epoch[52] Batch [999]	Speed: 1040.742109 samples/sec	rmse=0.019611	lr=0.343572
Epoch[52] Batch [1049]	Speed: 1043.631039 samples/sec	rmse=0.019618	lr=0.343483
Epoch[52] Batch [1099]	Speed: 1039.954785 samples/sec	rmse=0.019615	lr=0.343393
Epoch[52] Batch [1149]	Speed: 1039.198663 samples/sec	rmse=0.019617	lr=0.343303
Epoch[52] Batch [1199]	Speed: 1040.978923 samples/sec	rmse=0.019619	lr=0.343213
Epoch[52] Batch [1249]	Speed: 1046.661050 samples/sec	rmse=0.019627	lr=0.343123
[Epoch 52] training: rmse=0.019628
[Epoch 52] speed: 1040 samples/sec	time cost: 1244.562843
[Epoch 52] validation: err-top1=0.384379 err-top5=0.153341
Epoch[53] Batch [49]	Speed: 1054.065121 samples/sec	rmse=0.019388	lr=0.343032
Epoch[53] Batch [99]	Speed: 1039.902361 samples/sec	rmse=0.019420	lr=0.342942
Epoch[53] Batch [149]	Speed: 1043.140515 samples/sec	rmse=0.019435	lr=0.342851
Epoch[53] Batch [199]	Speed: 1041.306637 samples/sec	rmse=0.019504	lr=0.342761
Epoch[53] Batch [249]	Speed: 1040.570174 samples/sec	rmse=0.019518	lr=0.342671
Epoch[53] Batch [299]	Speed: 1040.584993 samples/sec	rmse=0.019504	lr=0.342581
Epoch[53] Batch [349]	Speed: 1045.530016 samples/sec	rmse=0.019499	lr=0.342490
Epoch[53] Batch [399]	Speed: 1043.292878 samples/sec	rmse=0.019530	lr=0.342400
Epoch[53] Batch [449]	Speed: 1040.483770 samples/sec	rmse=0.019556	lr=0.342310
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Epoch[53] Batch [549]	Speed: 1044.962415 samples/sec	rmse=0.019562	lr=0.342129
Epoch[53] Batch [599]	Speed: 1037.566808 samples/sec	rmse=0.019564	lr=0.342038
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Epoch[53] Batch [749]	Speed: 1041.274959 samples/sec	rmse=0.019578	lr=0.341766
Epoch[53] Batch [799]	Speed: 1033.636869 samples/sec	rmse=0.019568	lr=0.341675
Epoch[53] Batch [849]	Speed: 1027.733303 samples/sec	rmse=0.019571	lr=0.341584
Epoch[53] Batch [899]	Speed: 1039.771285 samples/sec	rmse=0.019584	lr=0.341493
Epoch[53] Batch [949]	Speed: 1036.735774 samples/sec	rmse=0.019584	lr=0.341402
Epoch[53] Batch [999]	Speed: 1040.983454 samples/sec	rmse=0.019591	lr=0.341311
Epoch[53] Batch [1049]	Speed: 1040.936235 samples/sec	rmse=0.019594	lr=0.341220
Epoch[53] Batch [1099]	Speed: 1045.137050 samples/sec	rmse=0.019597	lr=0.341128
Epoch[53] Batch [1149]	Speed: 1034.066611 samples/sec	rmse=0.019600	lr=0.341037
Epoch[53] Batch [1199]	Speed: 1040.647163 samples/sec	rmse=0.019600	lr=0.340946
Epoch[53] Batch [1249]	Speed: 1047.664154 samples/sec	rmse=0.019607	lr=0.340854
[Epoch 53] training: rmse=0.019607
[Epoch 53] speed: 1039 samples/sec	time cost: 1244.681432
[Epoch 53] validation: err-top1=0.356665 err-top5=0.133231
Epoch[54] Batch [49]	Speed: 1057.156752 samples/sec	rmse=0.019519	lr=0.340761
Epoch[54] Batch [99]	Speed: 1043.840826 samples/sec	rmse=0.019476	lr=0.340669
Epoch[54] Batch [149]	Speed: 1044.601678 samples/sec	rmse=0.019454	lr=0.340578
Epoch[54] Batch [199]	Speed: 1044.840781 samples/sec	rmse=0.019492	lr=0.340486
Epoch[54] Batch [249]	Speed: 1036.021723 samples/sec	rmse=0.019467	lr=0.340395
Epoch[54] Batch [299]	Speed: 1044.972813 samples/sec	rmse=0.019480	lr=0.340303
Epoch[54] Batch [349]	Speed: 1038.343570 samples/sec	rmse=0.019478	lr=0.340211
Epoch[54] Batch [399]	Speed: 1037.753277 samples/sec	rmse=0.019496	lr=0.340119
Epoch[54] Batch [449]	Speed: 1045.262452 samples/sec	rmse=0.019477	lr=0.340027
Epoch[54] Batch [499]	Speed: 1045.113693 samples/sec	rmse=0.019492	lr=0.339935
Epoch[54] Batch [549]	Speed: 1041.688582 samples/sec	rmse=0.019521	lr=0.339843
Epoch[54] Batch [599]	Speed: 1044.330150 samples/sec	rmse=0.019535	lr=0.339751
Epoch[54] Batch [649]	Speed: 1043.334822 samples/sec	rmse=0.019537	lr=0.339659
Epoch[54] Batch [699]	Speed: 1031.488120 samples/sec	rmse=0.019539	lr=0.339567
Epoch[54] Batch [749]	Speed: 1044.501313 samples/sec	rmse=0.019548	lr=0.339474
Epoch[54] Batch [799]	Speed: 1042.245094 samples/sec	rmse=0.019547	lr=0.339382
Epoch[54] Batch [849]	Speed: 1046.847643 samples/sec	rmse=0.019549	lr=0.339290
Epoch[54] Batch [899]	Speed: 1041.464607 samples/sec	rmse=0.019559	lr=0.339197
Epoch[54] Batch [949]	Speed: 1041.885073 samples/sec	rmse=0.019577	lr=0.339105
Epoch[54] Batch [999]	Speed: 1043.203198 samples/sec	rmse=0.019579	lr=0.339012
Epoch[54] Batch [1049]	Speed: 1045.179509 samples/sec	rmse=0.019589	lr=0.338920
Epoch[54] Batch [1099]	Speed: 1046.163255 samples/sec	rmse=0.019595	lr=0.338827
Epoch[54] Batch [1149]	Speed: 1044.742418 samples/sec	rmse=0.019601	lr=0.338734
Epoch[54] Batch [1199]	Speed: 1041.967262 samples/sec	rmse=0.019614	lr=0.338641
Epoch[54] Batch [1249]	Speed: 1049.294070 samples/sec	rmse=0.019615	lr=0.338549
[Epoch 54] training: rmse=0.019615
[Epoch 54] speed: 1042 samples/sec	time cost: 1241.603740
[Epoch 54] validation: err-top1=0.339664 err-top5=0.124841
Epoch[55] Batch [49]	Speed: 1055.670113 samples/sec	rmse=0.019488	lr=0.338454
Epoch[55] Batch [99]	Speed: 1042.427778 samples/sec	rmse=0.019434	lr=0.338361
Epoch[55] Batch [149]	Speed: 1046.324298 samples/sec	rmse=0.019455	lr=0.338268
Epoch[55] Batch [199]	Speed: 1043.417868 samples/sec	rmse=0.019469	lr=0.338175
Epoch[55] Batch [249]	Speed: 1040.746128 samples/sec	rmse=0.019503	lr=0.338082
Epoch[55] Batch [299]	Speed: 1034.201433 samples/sec	rmse=0.019506	lr=0.337988
Epoch[55] Batch [349]	Speed: 1040.408433 samples/sec	rmse=0.019507	lr=0.337895
Epoch[55] Batch [399]	Speed: 1037.548636 samples/sec	rmse=0.019517	lr=0.337802
Epoch[55] Batch [449]	Speed: 1042.911509 samples/sec	rmse=0.019494	lr=0.337709
Epoch[55] Batch [499]	Speed: 1045.640212 samples/sec	rmse=0.019512	lr=0.337615
Epoch[55] Batch [549]	Speed: 1040.923050 samples/sec	rmse=0.019518	lr=0.337522
Epoch[55] Batch [599]	Speed: 1043.634523 samples/sec	rmse=0.019525	lr=0.337428
Epoch[55] Batch [649]	Speed: 1040.334065 samples/sec	rmse=0.019536	lr=0.337334
Epoch[55] Batch [699]	Speed: 1042.330835 samples/sec	rmse=0.019549	lr=0.337241
Epoch[55] Batch [749]	Speed: 1040.825787 samples/sec	rmse=0.019570	lr=0.337147
Epoch[55] Batch [799]	Speed: 1041.898984 samples/sec	rmse=0.019561	lr=0.337053
Epoch[55] Batch [849]	Speed: 1034.970539 samples/sec	rmse=0.019576	lr=0.336960
Epoch[55] Batch [899]	Speed: 1046.059894 samples/sec	rmse=0.019582	lr=0.336866
Epoch[55] Batch [949]	Speed: 1040.448542 samples/sec	rmse=0.019591	lr=0.336772
Epoch[55] Batch [999]	Speed: 1040.462677 samples/sec	rmse=0.019598	lr=0.336678
Epoch[55] Batch [1049]	Speed: 1041.875125 samples/sec	rmse=0.019608	lr=0.336584
Epoch[55] Batch [1099]	Speed: 1041.232873 samples/sec	rmse=0.019610	lr=0.336490
Epoch[55] Batch [1149]	Speed: 1039.700969 samples/sec	rmse=0.019618	lr=0.336395
Epoch[55] Batch [1199]	Speed: 1042.970558 samples/sec	rmse=0.019622	lr=0.336301
Epoch[55] Batch [1249]	Speed: 1044.801913 samples/sec	rmse=0.019624	lr=0.336207
[Epoch 55] training: rmse=0.019624
[Epoch 55] speed: 1041 samples/sec	time cost: 1243.212189
[Epoch 55] validation: err-top1=0.369519 err-top5=0.141801
Epoch[56] Batch [49]	Speed: 1050.620596 samples/sec	rmse=0.019302	lr=0.336111
Epoch[56] Batch [99]	Speed: 1045.664402 samples/sec	rmse=0.019297	lr=0.336016
Epoch[56] Batch [149]	Speed: 1046.306684 samples/sec	rmse=0.019316	lr=0.335922
Epoch[56] Batch [199]	Speed: 1044.744502 samples/sec	rmse=0.019326	lr=0.335827
Epoch[56] Batch [249]	Speed: 1045.579822 samples/sec	rmse=0.019345	lr=0.335733
Epoch[56] Batch [299]	Speed: 1044.203134 samples/sec	rmse=0.019358	lr=0.335638
Epoch[56] Batch [349]	Speed: 1044.211146 samples/sec	rmse=0.019366	lr=0.335544
Epoch[56] Batch [399]	Speed: 1045.818262 samples/sec	rmse=0.019391	lr=0.335449
Epoch[56] Batch [449]	Speed: 1044.550020 samples/sec	rmse=0.019407	lr=0.335354
Epoch[56] Batch [499]	Speed: 1043.393371 samples/sec	rmse=0.019422	lr=0.335259
Epoch[56] Batch [549]	Speed: 1044.277721 samples/sec	rmse=0.019438	lr=0.335164
Epoch[56] Batch [599]	Speed: 1039.508028 samples/sec	rmse=0.019437	lr=0.335069
Epoch[56] Batch [649]	Speed: 1037.536360 samples/sec	rmse=0.019439	lr=0.334974
Epoch[56] Batch [699]	Speed: 1038.868082 samples/sec	rmse=0.019447	lr=0.334879
Epoch[56] Batch [749]	Speed: 1039.601679 samples/sec	rmse=0.019449	lr=0.334784
Epoch[56] Batch [799]	Speed: 1032.932619 samples/sec	rmse=0.019468	lr=0.334689
Epoch[56] Batch [849]	Speed: 1039.564806 samples/sec	rmse=0.019472	lr=0.334594
Epoch[56] Batch [899]	Speed: 1040.671324 samples/sec	rmse=0.019472	lr=0.334499
Epoch[56] Batch [949]	Speed: 1044.310659 samples/sec	rmse=0.019479	lr=0.334403
Epoch[56] Batch [999]	Speed: 1036.991594 samples/sec	rmse=0.019492	lr=0.334308
Epoch[56] Batch [1049]	Speed: 1039.163503 samples/sec	rmse=0.019500	lr=0.334212
Epoch[56] Batch [1099]	Speed: 1042.604397 samples/sec	rmse=0.019504	lr=0.334117
Epoch[56] Batch [1149]	Speed: 1040.913716 samples/sec	rmse=0.019511	lr=0.334021
Epoch[56] Batch [1199]	Speed: 1041.780508 samples/sec	rmse=0.019518	lr=0.333926
Epoch[56] Batch [1249]	Speed: 1042.440763 samples/sec	rmse=0.019520	lr=0.333830
[Epoch 56] training: rmse=0.019519
[Epoch 56] speed: 1041 samples/sec	time cost: 1243.076721
[Epoch 56] validation: err-top1=0.352798 err-top5=0.132235
Epoch[57] Batch [49]	Speed: 1057.597446 samples/sec	rmse=0.019061	lr=0.333732
Epoch[57] Batch [99]	Speed: 1041.856473 samples/sec	rmse=0.019192	lr=0.333637
Epoch[57] Batch [149]	Speed: 1039.888856 samples/sec	rmse=0.019324	lr=0.333541
Epoch[57] Batch [199]	Speed: 1037.887301 samples/sec	rmse=0.019353	lr=0.333445
Epoch[57] Batch [249]	Speed: 1039.308655 samples/sec	rmse=0.019427	lr=0.333349
Epoch[57] Batch [299]	Speed: 1040.249952 samples/sec	rmse=0.019441	lr=0.333253
Epoch[57] Batch [349]	Speed: 1045.748053 samples/sec	rmse=0.019449	lr=0.333157
Epoch[57] Batch [399]	Speed: 1046.346770 samples/sec	rmse=0.019456	lr=0.333061
Epoch[57] Batch [449]	Speed: 1039.444782 samples/sec	rmse=0.019455	lr=0.332964
Epoch[57] Batch [499]	Speed: 1038.669226 samples/sec	rmse=0.019471	lr=0.332868
Epoch[57] Batch [549]	Speed: 1040.709194 samples/sec	rmse=0.019492	lr=0.332772
Epoch[57] Batch [599]	Speed: 1047.279710 samples/sec	rmse=0.019502	lr=0.332676
Epoch[57] Batch [649]	Speed: 1043.497363 samples/sec	rmse=0.019517	lr=0.332579
Epoch[57] Batch [699]	Speed: 1042.984599 samples/sec	rmse=0.019513	lr=0.332483
Epoch[57] Batch [749]	Speed: 1042.960493 samples/sec	rmse=0.019514	lr=0.332386
Epoch[57] Batch [799]	Speed: 1043.959715 samples/sec	rmse=0.019527	lr=0.332290
Epoch[57] Batch [849]	Speed: 1043.623761 samples/sec	rmse=0.019532	lr=0.332193
Epoch[57] Batch [899]	Speed: 1043.972839 samples/sec	rmse=0.019540	lr=0.332096
Epoch[57] Batch [949]	Speed: 1042.988186 samples/sec	rmse=0.019551	lr=0.332000
Epoch[57] Batch [999]	Speed: 1043.693269 samples/sec	rmse=0.019554	lr=0.331903
Epoch[57] Batch [1049]	Speed: 1041.200008 samples/sec	rmse=0.019549	lr=0.331806
Epoch[57] Batch [1099]	Speed: 1043.520353 samples/sec	rmse=0.019560	lr=0.331709
Epoch[57] Batch [1149]	Speed: 1040.466982 samples/sec	rmse=0.019567	lr=0.331612
Epoch[57] Batch [1199]	Speed: 1043.326164 samples/sec	rmse=0.019559	lr=0.331515
Epoch[57] Batch [1249]	Speed: 1049.919682 samples/sec	rmse=0.019546	lr=0.331418
[Epoch 57] training: rmse=0.019546
[Epoch 57] speed: 1042 samples/sec	time cost: 1243.806990
[Epoch 57] validation: err-top1=0.340063 err-top5=0.123087
Epoch[58] Batch [49]	Speed: 1042.743368 samples/sec	rmse=0.019483	lr=0.331319
Epoch[58] Batch [99]	Speed: 1037.758387 samples/sec	rmse=0.019369	lr=0.331222
Epoch[58] Batch [149]	Speed: 1038.098414 samples/sec	rmse=0.019437	lr=0.331125
Epoch[58] Batch [199]	Speed: 1034.193459 samples/sec	rmse=0.019440	lr=0.331028
Epoch[58] Batch [249]	Speed: 1030.868933 samples/sec	rmse=0.019458	lr=0.330930
Epoch[58] Batch [299]	Speed: 1030.040383 samples/sec	rmse=0.019436	lr=0.330833
Epoch[58] Batch [349]	Speed: 1038.888095 samples/sec	rmse=0.019449	lr=0.330735
Epoch[58] Batch [399]	Speed: 1042.783136 samples/sec	rmse=0.019465	lr=0.330638
Epoch[58] Batch [449]	Speed: 1041.171199 samples/sec	rmse=0.019462	lr=0.330540
Epoch[58] Batch [499]	Speed: 1043.550281 samples/sec	rmse=0.019450	lr=0.330443
Epoch[58] Batch [549]	Speed: 1044.885208 samples/sec	rmse=0.019479	lr=0.330345
Epoch[58] Batch [599]	Speed: 1039.594447 samples/sec	rmse=0.019487	lr=0.330247
Epoch[58] Batch [649]	Speed: 1042.743343 samples/sec	rmse=0.019491	lr=0.330150
Epoch[58] Batch [699]	Speed: 1039.996551 samples/sec	rmse=0.019511	lr=0.330052
Epoch[58] Batch [749]	Speed: 1041.843701 samples/sec	rmse=0.019500	lr=0.329954
Epoch[58] Batch [799]	Speed: 1034.685574 samples/sec	rmse=0.019494	lr=0.329856
Epoch[58] Batch [849]	Speed: 1042.585962 samples/sec	rmse=0.019497	lr=0.329758
Epoch[58] Batch [899]	Speed: 1042.509167 samples/sec	rmse=0.019509	lr=0.329660
Epoch[58] Batch [949]	Speed: 1040.612318 samples/sec	rmse=0.019520	lr=0.329562
Epoch[58] Batch [999]	Speed: 1043.940121 samples/sec	rmse=0.019524	lr=0.329464
Epoch[58] Batch [1049]	Speed: 1042.937006 samples/sec	rmse=0.019529	lr=0.329366
Epoch[58] Batch [1099]	Speed: 1031.915879 samples/sec	rmse=0.019523	lr=0.329267
Epoch[58] Batch [1149]	Speed: 1036.481701 samples/sec	rmse=0.019531	lr=0.329169
Epoch[58] Batch [1199]	Speed: 1043.355123 samples/sec	rmse=0.019533	lr=0.329071
Epoch[58] Batch [1249]	Speed: 1047.413739 samples/sec	rmse=0.019537	lr=0.328972
[Epoch 58] training: rmse=0.019537
[Epoch 58] speed: 1038 samples/sec	time cost: 1245.564138
[Epoch 58] validation: err-top1=0.346944 err-top5=0.127279
Epoch[59] Batch [49]	Speed: 1055.505159 samples/sec	rmse=0.019332	lr=0.328872
Epoch[59] Batch [99]	Speed: 1045.811315 samples/sec	rmse=0.019272	lr=0.328773
Epoch[59] Batch [149]	Speed: 1043.677818 samples/sec	rmse=0.019307	lr=0.328675
Epoch[59] Batch [199]	Speed: 1048.144193 samples/sec	rmse=0.019311	lr=0.328576
Epoch[59] Batch [249]	Speed: 1043.183303 samples/sec	rmse=0.019309	lr=0.328478
Epoch[59] Batch [299]	Speed: 1043.890461 samples/sec	rmse=0.019347	lr=0.328379
Epoch[59] Batch [349]	Speed: 1046.688567 samples/sec	rmse=0.019366	lr=0.328280
Epoch[59] Batch [399]	Speed: 1045.016128 samples/sec	rmse=0.019404	lr=0.328181
Epoch[59] Batch [449]	Speed: 1045.698058 samples/sec	rmse=0.019408	lr=0.328082
Epoch[59] Batch [499]	Speed: 1039.761488 samples/sec	rmse=0.019419	lr=0.327983
Epoch[59] Batch [549]	Speed: 1042.771885 samples/sec	rmse=0.019425	lr=0.327884
Epoch[59] Batch [599]	Speed: 1042.364146 samples/sec	rmse=0.019427	lr=0.327785
Epoch[59] Batch [649]	Speed: 1041.946761 samples/sec	rmse=0.019448	lr=0.327686
Epoch[59] Batch [699]	Speed: 1040.757765 samples/sec	rmse=0.019446	lr=0.327587
Epoch[59] Batch [749]	Speed: 1038.795396 samples/sec	rmse=0.019439	lr=0.327488
Epoch[59] Batch [799]	Speed: 1036.201558 samples/sec	rmse=0.019449	lr=0.327389
Epoch[59] Batch [849]	Speed: 1044.597395 samples/sec	rmse=0.019460	lr=0.327289
Epoch[59] Batch [899]	Speed: 1041.161385 samples/sec	rmse=0.019459	lr=0.327190
Epoch[59] Batch [949]	Speed: 1034.196976 samples/sec	rmse=0.019460	lr=0.327091
Epoch[59] Batch [999]	Speed: 1038.284025 samples/sec	rmse=0.019458	lr=0.326991
Epoch[59] Batch [1049]	Speed: 1044.750672 samples/sec	rmse=0.019461	lr=0.326892
Epoch[59] Batch [1099]	Speed: 1043.391308 samples/sec	rmse=0.019460	lr=0.326792
Epoch[59] Batch [1149]	Speed: 1047.044651 samples/sec	rmse=0.019469	lr=0.326692
Epoch[59] Batch [1199]	Speed: 1044.716100 samples/sec	rmse=0.019468	lr=0.326593
Epoch[59] Batch [1249]	Speed: 1046.554101 samples/sec	rmse=0.019475	lr=0.326493
[Epoch 59] training: rmse=0.019476
[Epoch 59] speed: 1042 samples/sec	time cost: 1241.660134
[Epoch 59] validation: err-top1=0.356963 err-top5=0.131059
Epoch[60] Batch [49]	Speed: 1055.413217 samples/sec	rmse=0.019271	lr=0.326391
Epoch[60] Batch [99]	Speed: 1044.507780 samples/sec	rmse=0.019230	lr=0.326291
Epoch[60] Batch [149]	Speed: 1041.015039 samples/sec	rmse=0.019315	lr=0.326192
Epoch[60] Batch [199]	Speed: 1041.595560 samples/sec	rmse=0.019321	lr=0.326092
Epoch[60] Batch [249]	Speed: 1044.731805 samples/sec	rmse=0.019356	lr=0.325992
Epoch[60] Batch [299]	Speed: 1044.088525 samples/sec	rmse=0.019385	lr=0.325892
Epoch[60] Batch [349]	Speed: 1040.257596 samples/sec	rmse=0.019377	lr=0.325792
Epoch[60] Batch [399]	Speed: 1034.724983 samples/sec	rmse=0.019415	lr=0.325691
Epoch[60] Batch [449]	Speed: 1039.171945 samples/sec	rmse=0.019421	lr=0.325591
Epoch[60] Batch [499]	Speed: 1043.536397 samples/sec	rmse=0.019449	lr=0.325491
Epoch[60] Batch [549]	Speed: 1046.881749 samples/sec	rmse=0.019423	lr=0.325391
Epoch[60] Batch [599]	Speed: 1048.177375 samples/sec	rmse=0.019415	lr=0.325290
Epoch[60] Batch [649]	Speed: 1043.430938 samples/sec	rmse=0.019430	lr=0.325190
Epoch[60] Batch [699]	Speed: 1048.448722 samples/sec	rmse=0.019441	lr=0.325089
Epoch[60] Batch [749]	Speed: 1046.790833 samples/sec	rmse=0.019443	lr=0.324989
Epoch[60] Batch [799]	Speed: 1044.419201 samples/sec	rmse=0.019439	lr=0.324888
Epoch[60] Batch [849]	Speed: 1048.368471 samples/sec	rmse=0.019437	lr=0.324788
Epoch[60] Batch [899]	Speed: 1046.328840 samples/sec	rmse=0.019440	lr=0.324687
Epoch[60] Batch [949]	Speed: 1046.068251 samples/sec	rmse=0.019446	lr=0.324586
Epoch[60] Batch [999]	Speed: 1043.020302 samples/sec	rmse=0.019453	lr=0.324486
Epoch[60] Batch [1049]	Speed: 1046.574579 samples/sec	rmse=0.019459	lr=0.324385
Epoch[60] Batch [1099]	Speed: 1045.436134 samples/sec	rmse=0.019470	lr=0.324284
Epoch[60] Batch [1149]	Speed: 1045.469409 samples/sec	rmse=0.019478	lr=0.324183
Epoch[60] Batch [1199]	Speed: 1042.103004 samples/sec	rmse=0.019475	lr=0.324082
Epoch[60] Batch [1249]	Speed: 1047.004522 samples/sec	rmse=0.019479	lr=0.323981
[Epoch 60] training: rmse=0.019479
[Epoch 60] speed: 1043 samples/sec	time cost: 1240.188300
[Epoch 60] validation: err-top1=0.343092 err-top5=0.125140
Epoch[61] Batch [49]	Speed: 1056.368892 samples/sec	rmse=0.019224	lr=0.323878
Epoch[61] Batch [99]	Speed: 1040.045323 samples/sec	rmse=0.019275	lr=0.323777
Epoch[61] Batch [149]	Speed: 1037.657352 samples/sec	rmse=0.019304	lr=0.323676
Epoch[61] Batch [199]	Speed: 1040.931083 samples/sec	rmse=0.019333	lr=0.323574
Epoch[61] Batch [249]	Speed: 1039.448671 samples/sec	rmse=0.019379	lr=0.323473
Epoch[61] Batch [299]	Speed: 1041.735789 samples/sec	rmse=0.019405	lr=0.323372
Epoch[61] Batch [349]	Speed: 1036.448360 samples/sec	rmse=0.019420	lr=0.323270
Epoch[61] Batch [399]	Speed: 1041.125830 samples/sec	rmse=0.019426	lr=0.323169
Epoch[61] Batch [449]	Speed: 1034.793466 samples/sec	rmse=0.019422	lr=0.323067
Epoch[61] Batch [499]	Speed: 1045.205976 samples/sec	rmse=0.019394	lr=0.322966
Epoch[61] Batch [549]	Speed: 1042.123637 samples/sec	rmse=0.019397	lr=0.322864
Epoch[61] Batch [599]	Speed: 1042.049969 samples/sec	rmse=0.019404	lr=0.322763
Epoch[61] Batch [649]	Speed: 1042.040336 samples/sec	rmse=0.019405	lr=0.322661
Epoch[61] Batch [699]	Speed: 1041.572160 samples/sec	rmse=0.019407	lr=0.322559
Epoch[61] Batch [749]	Speed: 1043.472685 samples/sec	rmse=0.019417	lr=0.322457
Epoch[61] Batch [799]	Speed: 1043.681668 samples/sec	rmse=0.019414	lr=0.322355
Epoch[61] Batch [849]	Speed: 1041.957641 samples/sec	rmse=0.019415	lr=0.322254
Epoch[61] Batch [899]	Speed: 1037.326082 samples/sec	rmse=0.019425	lr=0.322152
Epoch[61] Batch [949]	Speed: 1041.922597 samples/sec	rmse=0.019432	lr=0.322050
Epoch[61] Batch [999]	Speed: 1042.842814 samples/sec	rmse=0.019425	lr=0.321948
Epoch[61] Batch [1049]	Speed: 1042.785916 samples/sec	rmse=0.019436	lr=0.321845
Epoch[61] Batch [1099]	Speed: 1042.976079 samples/sec	rmse=0.019442	lr=0.321743
Epoch[61] Batch [1149]	Speed: 1036.772547 samples/sec	rmse=0.019449	lr=0.321641
Epoch[61] Batch [1199]	Speed: 1042.259470 samples/sec	rmse=0.019455	lr=0.321539
Epoch[61] Batch [1249]	Speed: 1045.638191 samples/sec	rmse=0.019454	lr=0.321437
[Epoch 61] training: rmse=0.019454
[Epoch 61] speed: 1040 samples/sec	time cost: 1243.738503
[Epoch 61] validation: err-top1=0.356107 err-top5=0.135682
Epoch[62] Batch [49]	Speed: 1059.057995 samples/sec	rmse=0.019179	lr=0.321332
Epoch[62] Batch [99]	Speed: 1045.143947 samples/sec	rmse=0.019289	lr=0.321230
Epoch[62] Batch [149]	Speed: 1045.100286 samples/sec	rmse=0.019314	lr=0.321127
Epoch[62] Batch [199]	Speed: 1045.950613 samples/sec	rmse=0.019338	lr=0.321025
Epoch[62] Batch [249]	Speed: 1044.695614 samples/sec	rmse=0.019391	lr=0.320922
Epoch[62] Batch [299]	Speed: 1044.148352 samples/sec	rmse=0.019421	lr=0.320820
Epoch[62] Batch [349]	Speed: 1046.916147 samples/sec	rmse=0.019403	lr=0.320717
Epoch[62] Batch [399]	Speed: 1040.585785 samples/sec	rmse=0.019420	lr=0.320614
Epoch[62] Batch [449]	Speed: 1040.067814 samples/sec	rmse=0.019425	lr=0.320512
Epoch[62] Batch [499]	Speed: 1044.404105 samples/sec	rmse=0.019443	lr=0.320409
Epoch[62] Batch [549]	Speed: 1040.872618 samples/sec	rmse=0.019443	lr=0.320306
Epoch[62] Batch [599]	Speed: 1043.251748 samples/sec	rmse=0.019451	lr=0.320203
Epoch[62] Batch [649]	Speed: 1038.098685 samples/sec	rmse=0.019467	lr=0.320100
Epoch[62] Batch [699]	Speed: 1041.919847 samples/sec	rmse=0.019464	lr=0.319997
Epoch[62] Batch [749]	Speed: 1042.075505 samples/sec	rmse=0.019477	lr=0.319894
Epoch[62] Batch [799]	Speed: 1040.907793 samples/sec	rmse=0.019478	lr=0.319791
Epoch[62] Batch [849]	Speed: 1038.249770 samples/sec	rmse=0.019486	lr=0.319688
Epoch[62] Batch [899]	Speed: 1032.348435 samples/sec	rmse=0.019496	lr=0.319585
Epoch[62] Batch [949]	Speed: 1042.542757 samples/sec	rmse=0.019503	lr=0.319481
Epoch[62] Batch [999]	Speed: 1040.486361 samples/sec	rmse=0.019499	lr=0.319378
Epoch[62] Batch [1049]	Speed: 1043.617101 samples/sec	rmse=0.019506	lr=0.319275
Epoch[62] Batch [1099]	Speed: 1042.220015 samples/sec	rmse=0.019510	lr=0.319171
Epoch[62] Batch [1149]	Speed: 1040.233001 samples/sec	rmse=0.019516	lr=0.319068
Epoch[62] Batch [1199]	Speed: 1043.583650 samples/sec	rmse=0.019516	lr=0.318964
Epoch[62] Batch [1249]	Speed: 1045.003608 samples/sec	rmse=0.019520	lr=0.318861
[Epoch 62] training: rmse=0.019519
[Epoch 62] speed: 1042 samples/sec	time cost: 1242.525454
[Epoch 62] validation: err-top1=0.376216 err-top5=0.149314
Epoch[63] Batch [49]	Speed: 1054.496348 samples/sec	rmse=0.019044	lr=0.318755
Epoch[63] Batch [99]	Speed: 1039.727538 samples/sec	rmse=0.019061	lr=0.318651
Epoch[63] Batch [149]	Speed: 1041.834148 samples/sec	rmse=0.019118	lr=0.318548
Epoch[63] Batch [199]	Speed: 1041.553150 samples/sec	rmse=0.019153	lr=0.318444
Epoch[63] Batch [249]	Speed: 1041.274545 samples/sec	rmse=0.019189	lr=0.318340
Epoch[63] Batch [299]	Speed: 1041.186651 samples/sec	rmse=0.019225	lr=0.318236
Epoch[63] Batch [349]	Speed: 1037.144220 samples/sec	rmse=0.019253	lr=0.318132
Epoch[63] Batch [399]	Speed: 1032.952746 samples/sec	rmse=0.019253	lr=0.318029
Epoch[63] Batch [449]	Speed: 1039.888282 samples/sec	rmse=0.019262	lr=0.317925
Epoch[63] Batch [499]	Speed: 1042.055809 samples/sec	rmse=0.019285	lr=0.317820
Epoch[63] Batch [549]	Speed: 1045.738006 samples/sec	rmse=0.019309	lr=0.317716
Epoch[63] Batch [599]	Speed: 1043.165425 samples/sec	rmse=0.019312	lr=0.317612
Epoch[63] Batch [649]	Speed: 1042.645328 samples/sec	rmse=0.019333	lr=0.317508
Epoch[63] Batch [699]	Speed: 1044.921525 samples/sec	rmse=0.019347	lr=0.317404
Epoch[63] Batch [749]	Speed: 1043.658108 samples/sec	rmse=0.019349	lr=0.317300
Epoch[63] Batch [799]	Speed: 1042.665153 samples/sec	rmse=0.019358	lr=0.317195
Epoch[63] Batch [849]	Speed: 1044.766119 samples/sec	rmse=0.019362	lr=0.317091
Epoch[63] Batch [899]	Speed: 1045.434887 samples/sec	rmse=0.019370	lr=0.316986
Epoch[63] Batch [949]	Speed: 1043.872371 samples/sec	rmse=0.019377	lr=0.316882
Epoch[63] Batch [999]	Speed: 1043.771679 samples/sec	rmse=0.019379	lr=0.316777
Epoch[63] Batch [1049]	Speed: 1040.579311 samples/sec	rmse=0.019378	lr=0.316673
Epoch[63] Batch [1099]	Speed: 1038.452101 samples/sec	rmse=0.019381	lr=0.316568
Epoch[63] Batch [1149]	Speed: 1042.931242 samples/sec	rmse=0.019393	lr=0.316464
Epoch[63] Batch [1199]	Speed: 1037.911184 samples/sec	rmse=0.019402	lr=0.316359
Epoch[63] Batch [1249]	Speed: 1043.228461 samples/sec	rmse=0.019403	lr=0.316254
[Epoch 63] training: rmse=0.019404
[Epoch 63] speed: 1041 samples/sec	time cost: 1243.263393
[Epoch 63] validation: err-top1=0.339844 err-top5=0.124064
Epoch[64] Batch [49]	Speed: 1052.375218 samples/sec	rmse=0.019052	lr=0.316147
Epoch[64] Batch [99]	Speed: 1041.980497 samples/sec	rmse=0.019194	lr=0.316042
Epoch[64] Batch [149]	Speed: 1037.249704 samples/sec	rmse=0.019260	lr=0.315937
Epoch[64] Batch [199]	Speed: 1033.742984 samples/sec	rmse=0.019251	lr=0.315832
Epoch[64] Batch [249]	Speed: 1042.104248 samples/sec	rmse=0.019280	lr=0.315727
Epoch[64] Batch [299]	Speed: 1038.439582 samples/sec	rmse=0.019284	lr=0.315622
Epoch[64] Batch [349]	Speed: 1036.861841 samples/sec	rmse=0.019314	lr=0.315517
Epoch[64] Batch [399]	Speed: 1040.022128 samples/sec	rmse=0.019326	lr=0.315412
Epoch[64] Batch [449]	Speed: 1034.658933 samples/sec	rmse=0.019338	lr=0.315307
Epoch[64] Batch [499]	Speed: 1041.125915 samples/sec	rmse=0.019352	lr=0.315202
Epoch[64] Batch [549]	Speed: 1039.678087 samples/sec	rmse=0.019369	lr=0.315096
Epoch[64] Batch [599]	Speed: 1045.299471 samples/sec	rmse=0.019386	lr=0.314991
Epoch[64] Batch [649]	Speed: 1035.530944 samples/sec	rmse=0.019396	lr=0.314886
Epoch[64] Batch [699]	Speed: 1040.473208 samples/sec	rmse=0.019393	lr=0.314780
Epoch[64] Batch [749]	Speed: 1032.108418 samples/sec	rmse=0.019385	lr=0.314675
Epoch[64] Batch [799]	Speed: 1043.503893 samples/sec	rmse=0.019393	lr=0.314569
Epoch[64] Batch [849]	Speed: 1044.312538 samples/sec	rmse=0.019401	lr=0.314464
Epoch[64] Batch [899]	Speed: 1044.478203 samples/sec	rmse=0.019406	lr=0.314358
Epoch[64] Batch [949]	Speed: 1041.459203 samples/sec	rmse=0.019408	lr=0.314252
Epoch[64] Batch [999]	Speed: 1041.302083 samples/sec	rmse=0.019402	lr=0.314147
Epoch[64] Batch [1049]	Speed: 1033.051555 samples/sec	rmse=0.019411	lr=0.314041
Epoch[64] Batch [1099]	Speed: 1044.198052 samples/sec	rmse=0.019405	lr=0.313935
Epoch[64] Batch [1149]	Speed: 1045.793449 samples/sec	rmse=0.019408	lr=0.313829
Epoch[64] Batch [1199]	Speed: 1047.870739 samples/sec	rmse=0.019413	lr=0.313723
Epoch[64] Batch [1249]	Speed: 1047.121983 samples/sec	rmse=0.019414	lr=0.313617
[Epoch 64] training: rmse=0.019414
[Epoch 64] speed: 1040 samples/sec	time cost: 1245.594907
[Epoch 64] validation: err-top1=0.365254 err-top5=0.141761
Epoch[65] Batch [49]	Speed: 1058.262669 samples/sec	rmse=0.019259	lr=0.313509
Epoch[65] Batch [99]	Speed: 1049.675869 samples/sec	rmse=0.019157	lr=0.313403
Epoch[65] Batch [149]	Speed: 1049.905443 samples/sec	rmse=0.019216	lr=0.313297
Epoch[65] Batch [199]	Speed: 1046.356146 samples/sec	rmse=0.019224	lr=0.313191
Epoch[65] Batch [249]	Speed: 1046.173622 samples/sec	rmse=0.019210	lr=0.313085
Epoch[65] Batch [299]	Speed: 1043.085155 samples/sec	rmse=0.019251	lr=0.312978
Epoch[65] Batch [349]	Speed: 1044.860419 samples/sec	rmse=0.019258	lr=0.312872
Epoch[65] Batch [399]	Speed: 1040.882284 samples/sec	rmse=0.019266	lr=0.312766
Epoch[65] Batch [449]	Speed: 1046.684720 samples/sec	rmse=0.019313	lr=0.312659
Epoch[65] Batch [499]	Speed: 1046.486068 samples/sec	rmse=0.019334	lr=0.312553
Epoch[65] Batch [549]	Speed: 1042.973182 samples/sec	rmse=0.019340	lr=0.312446
Epoch[65] Batch [599]	Speed: 1045.455820 samples/sec	rmse=0.019355	lr=0.312340
Epoch[65] Batch [649]	Speed: 1035.682436 samples/sec	rmse=0.019348	lr=0.312233
Epoch[65] Batch [699]	Speed: 1039.502126 samples/sec	rmse=0.019365	lr=0.312127
Epoch[65] Batch [749]	Speed: 1033.391269 samples/sec	rmse=0.019374	lr=0.312020
Epoch[65] Batch [799]	Speed: 1035.560896 samples/sec	rmse=0.019378	lr=0.311913
Epoch[65] Batch [849]	Speed: 1040.620784 samples/sec	rmse=0.019392	lr=0.311807
Epoch[65] Batch [899]	Speed: 1044.767715 samples/sec	rmse=0.019391	lr=0.311700
Epoch[65] Batch [949]	Speed: 1044.107216 samples/sec	rmse=0.019394	lr=0.311593
Epoch[65] Batch [999]	Speed: 1040.782082 samples/sec	rmse=0.019392	lr=0.311486
Epoch[65] Batch [1049]	Speed: 1035.772556 samples/sec	rmse=0.019398	lr=0.311379
Epoch[65] Batch [1099]	Speed: 1042.872161 samples/sec	rmse=0.019397	lr=0.311272
Epoch[65] Batch [1149]	Speed: 1044.724446 samples/sec	rmse=0.019397	lr=0.311165
Epoch[65] Batch [1199]	Speed: 1039.532146 samples/sec	rmse=0.019399	lr=0.311058
Epoch[65] Batch [1249]	Speed: 1046.168148 samples/sec	rmse=0.019402	lr=0.310951
[Epoch 65] training: rmse=0.019402
[Epoch 65] speed: 1042 samples/sec	time cost: 1241.826252
[Epoch 65] validation: err-top1=0.339166 err-top5=0.121393
Epoch[66] Batch [49]	Speed: 1053.769121 samples/sec	rmse=0.019092	lr=0.310842
Epoch[66] Batch [99]	Speed: 1042.834230 samples/sec	rmse=0.019054	lr=0.310734
Epoch[66] Batch [149]	Speed: 1039.269720 samples/sec	rmse=0.019080	lr=0.310627
Epoch[66] Batch [199]	Speed: 1041.338186 samples/sec	rmse=0.019145	lr=0.310520
Epoch[66] Batch [249]	Speed: 1044.215569 samples/sec	rmse=0.019183	lr=0.310412
Epoch[66] Batch [299]	Speed: 1038.021350 samples/sec	rmse=0.019204	lr=0.310305
Epoch[66] Batch [349]	Speed: 1041.478689 samples/sec	rmse=0.019225	lr=0.310198
Epoch[66] Batch [399]	Speed: 1042.890647 samples/sec	rmse=0.019223	lr=0.310090
Epoch[66] Batch [449]	Speed: 1046.203906 samples/sec	rmse=0.019210	lr=0.309982
Epoch[66] Batch [499]	Speed: 1041.693342 samples/sec	rmse=0.019243	lr=0.309875
Epoch[66] Batch [549]	Speed: 1044.370248 samples/sec	rmse=0.019244	lr=0.309767
Epoch[66] Batch [599]	Speed: 1044.947725 samples/sec	rmse=0.019262	lr=0.309660
Epoch[66] Batch [649]	Speed: 1043.938578 samples/sec	rmse=0.019273	lr=0.309552
Epoch[66] Batch [699]	Speed: 1043.506505 samples/sec	rmse=0.019279	lr=0.309444
Epoch[66] Batch [749]	Speed: 1045.047246 samples/sec	rmse=0.019278	lr=0.309336
Epoch[66] Batch [799]	Speed: 1045.874676 samples/sec	rmse=0.019295	lr=0.309228
Epoch[66] Batch [849]	Speed: 1046.288470 samples/sec	rmse=0.019307	lr=0.309121
Epoch[66] Batch [899]	Speed: 1040.036639 samples/sec	rmse=0.019310	lr=0.309013
Epoch[66] Batch [949]	Speed: 1041.814573 samples/sec	rmse=0.019316	lr=0.308905
Epoch[66] Batch [999]	Speed: 1043.546478 samples/sec	rmse=0.019321	lr=0.308797
Epoch[66] Batch [1049]	Speed: 1044.121791 samples/sec	rmse=0.019333	lr=0.308688
Epoch[66] Batch [1099]	Speed: 1040.924367 samples/sec	rmse=0.019332	lr=0.308580
Epoch[66] Batch [1149]	Speed: 1043.957442 samples/sec	rmse=0.019338	lr=0.308472
Epoch[66] Batch [1199]	Speed: 1040.981627 samples/sec	rmse=0.019338	lr=0.308364
Epoch[66] Batch [1249]	Speed: 1042.521667 samples/sec	rmse=0.019342	lr=0.308256
[Epoch 66] training: rmse=0.019341
[Epoch 66] speed: 1042 samples/sec	time cost: 1241.818968
[Epoch 66] validation: err-top1=0.349769 err-top5=0.130760
Epoch[67] Batch [49]	Speed: 1054.286206 samples/sec	rmse=0.019122	lr=0.308145
Epoch[67] Batch [99]	Speed: 1036.284027 samples/sec	rmse=0.019168	lr=0.308037
Epoch[67] Batch [149]	Speed: 1043.001635 samples/sec	rmse=0.019183	lr=0.307928
Epoch[67] Batch [199]	Speed: 1043.631759 samples/sec	rmse=0.019204	lr=0.307820
Epoch[67] Batch [249]	Speed: 1037.032552 samples/sec	rmse=0.019229	lr=0.307712
Epoch[67] Batch [299]	Speed: 1037.789054 samples/sec	rmse=0.019243	lr=0.307603
Epoch[67] Batch [349]	Speed: 1041.636155 samples/sec	rmse=0.019244	lr=0.307494
Epoch[67] Batch [399]	Speed: 1041.647740 samples/sec	rmse=0.019254	lr=0.307386
Epoch[67] Batch [449]	Speed: 1036.691396 samples/sec	rmse=0.019260	lr=0.307277
Epoch[67] Batch [499]	Speed: 1044.656523 samples/sec	rmse=0.019286	lr=0.307168
Epoch[67] Batch [549]	Speed: 1042.606543 samples/sec	rmse=0.019286	lr=0.307060
Epoch[67] Batch [599]	Speed: 1046.463279 samples/sec	rmse=0.019289	lr=0.306951
Epoch[67] Batch [649]	Speed: 1036.482671 samples/sec	rmse=0.019302	lr=0.306842
Epoch[67] Batch [699]	Speed: 1046.382903 samples/sec	rmse=0.019305	lr=0.306733
Epoch[67] Batch [749]	Speed: 1044.494175 samples/sec	rmse=0.019314	lr=0.306624
Epoch[67] Batch [799]	Speed: 1044.220372 samples/sec	rmse=0.019324	lr=0.306515
Epoch[67] Batch [849]	Speed: 1044.381010 samples/sec	rmse=0.019332	lr=0.306406
Epoch[67] Batch [899]	Speed: 1041.961346 samples/sec	rmse=0.019333	lr=0.306297
Epoch[67] Batch [949]	Speed: 1046.534675 samples/sec	rmse=0.019326	lr=0.306188
Epoch[67] Batch [999]	Speed: 1043.742007 samples/sec	rmse=0.019325	lr=0.306079
Epoch[67] Batch [1049]	Speed: 1041.996161 samples/sec	rmse=0.019330	lr=0.305970
Epoch[67] Batch [1099]	Speed: 1043.545976 samples/sec	rmse=0.019332	lr=0.305860
Epoch[67] Batch [1149]	Speed: 1042.849093 samples/sec	rmse=0.019340	lr=0.305751
Epoch[67] Batch [1199]	Speed: 1043.290668 samples/sec	rmse=0.019339	lr=0.305642
Epoch[67] Batch [1249]	Speed: 1047.938334 samples/sec	rmse=0.019344	lr=0.305532
[Epoch 67] training: rmse=0.019344
[Epoch 67] speed: 1042 samples/sec	time cost: 1242.463597
[Epoch 67] validation: err-top1=0.339844 err-top5=0.120356
Epoch[68] Batch [49]	Speed: 1059.579087 samples/sec	rmse=0.019128	lr=0.305421
Epoch[68] Batch [99]	Speed: 1039.631524 samples/sec	rmse=0.019169	lr=0.305311
Epoch[68] Batch [149]	Speed: 1042.508190 samples/sec	rmse=0.019165	lr=0.305202
Epoch[68] Batch [199]	Speed: 1041.569947 samples/sec	rmse=0.019163	lr=0.305092
Epoch[68] Batch [249]	Speed: 1041.584916 samples/sec	rmse=0.019177	lr=0.304983
Epoch[68] Batch [299]	Speed: 1042.027736 samples/sec	rmse=0.019208	lr=0.304873
Epoch[68] Batch [349]	Speed: 1043.240776 samples/sec	rmse=0.019245	lr=0.304763
Epoch[68] Batch [399]	Speed: 1034.262459 samples/sec	rmse=0.019255	lr=0.304654
Epoch[68] Batch [449]	Speed: 1039.272542 samples/sec	rmse=0.019272	lr=0.304544
Epoch[68] Batch [499]	Speed: 1035.684334 samples/sec	rmse=0.019275	lr=0.304434
Epoch[68] Batch [549]	Speed: 1036.863508 samples/sec	rmse=0.019268	lr=0.304324
Epoch[68] Batch [599]	Speed: 1040.178826 samples/sec	rmse=0.019277	lr=0.304214
Epoch[68] Batch [649]	Speed: 1039.433190 samples/sec	rmse=0.019285	lr=0.304104
Epoch[68] Batch [699]	Speed: 1037.816548 samples/sec	rmse=0.019289	lr=0.303994
Epoch[68] Batch [749]	Speed: 1038.859850 samples/sec	rmse=0.019288	lr=0.303884
Epoch[68] Batch [799]	Speed: 1042.346509 samples/sec	rmse=0.019288	lr=0.303774
Epoch[68] Batch [849]	Speed: 1043.134987 samples/sec	rmse=0.019287	lr=0.303664
Epoch[68] Batch [899]	Speed: 1042.959176 samples/sec	rmse=0.019300	lr=0.303554
Epoch[68] Batch [949]	Speed: 1044.689785 samples/sec	rmse=0.019312	lr=0.303444
Epoch[68] Batch [999]	Speed: 1042.101143 samples/sec	rmse=0.019312	lr=0.303334
Epoch[68] Batch [1049]	Speed: 1041.548376 samples/sec	rmse=0.019318	lr=0.303223
Epoch[68] Batch [1099]	Speed: 1038.741105 samples/sec	rmse=0.019330	lr=0.303113
Epoch[68] Batch [1149]	Speed: 1046.607677 samples/sec	rmse=0.019337	lr=0.303003
Epoch[68] Batch [1199]	Speed: 1041.699688 samples/sec	rmse=0.019344	lr=0.302892
Epoch[68] Batch [1249]	Speed: 1047.833680 samples/sec	rmse=0.019351	lr=0.302782
[Epoch 68] training: rmse=0.019351
[Epoch 68] speed: 1040 samples/sec	time cost: 1243.776394
[Epoch 68] validation: err-top1=0.356286 err-top5=0.133092
Epoch[69] Batch [49]	Speed: 1055.392314 samples/sec	rmse=0.019297	lr=0.302669
Epoch[69] Batch [99]	Speed: 1043.346764 samples/sec	rmse=0.019212	lr=0.302559
Epoch[69] Batch [149]	Speed: 1043.823875 samples/sec	rmse=0.019164	lr=0.302448
Epoch[69] Batch [199]	Speed: 1045.693893 samples/sec	rmse=0.019173	lr=0.302337
Epoch[69] Batch [249]	Speed: 1048.722345 samples/sec	rmse=0.019169	lr=0.302227
Epoch[69] Batch [299]	Speed: 1045.694265 samples/sec	rmse=0.019162	lr=0.302116
Epoch[69] Batch [349]	Speed: 1043.537436 samples/sec	rmse=0.019188	lr=0.302005
Epoch[69] Batch [399]	Speed: 1044.259181 samples/sec	rmse=0.019216	lr=0.301894
Epoch[69] Batch [449]	Speed: 1045.303353 samples/sec	rmse=0.019214	lr=0.301784
Epoch[69] Batch [499]	Speed: 1045.030693 samples/sec	rmse=0.019240	lr=0.301673
Epoch[69] Batch [549]	Speed: 1045.048527 samples/sec	rmse=0.019267	lr=0.301562
Epoch[69] Batch [599]	Speed: 1044.459834 samples/sec	rmse=0.019281	lr=0.301451
Epoch[69] Batch [649]	Speed: 1040.951680 samples/sec	rmse=0.019288	lr=0.301340
Epoch[69] Batch [699]	Speed: 1037.929484 samples/sec	rmse=0.019296	lr=0.301229
Epoch[69] Batch [749]	Speed: 1043.336819 samples/sec	rmse=0.019301	lr=0.301118
Epoch[69] Batch [799]	Speed: 1038.308779 samples/sec	rmse=0.019296	lr=0.301007
Epoch[69] Batch [849]	Speed: 1037.127320 samples/sec	rmse=0.019308	lr=0.300895
Epoch[69] Batch [899]	Speed: 1039.210541 samples/sec	rmse=0.019306	lr=0.300784
Epoch[69] Batch [949]	Speed: 1038.240639 samples/sec	rmse=0.019311	lr=0.300673
Epoch[69] Batch [999]	Speed: 1038.464153 samples/sec	rmse=0.019312	lr=0.300562
Epoch[69] Batch [1049]	Speed: 1040.084487 samples/sec	rmse=0.019319	lr=0.300450
Epoch[69] Batch [1099]	Speed: 1036.620106 samples/sec	rmse=0.019323	lr=0.300339
Epoch[69] Batch [1149]	Speed: 1033.167627 samples/sec	rmse=0.019321	lr=0.300227
Epoch[69] Batch [1199]	Speed: 1039.372871 samples/sec	rmse=0.019315	lr=0.300116
Epoch[69] Batch [1249]	Speed: 1047.732780 samples/sec	rmse=0.019318	lr=0.300004
[Epoch 69] training: rmse=0.019319
[Epoch 69] speed: 1041 samples/sec	time cost: 1242.871873
[Epoch 69] validation: err-top1=0.335775 err-top5=0.121745
Epoch[70] Batch [49]	Speed: 1055.248769 samples/sec	rmse=0.018999	lr=0.299891
Epoch[70] Batch [99]	Speed: 1046.378641 samples/sec	rmse=0.019045	lr=0.299779
Epoch[70] Batch [149]	Speed: 1045.692208 samples/sec	rmse=0.019091	lr=0.299667
Epoch[70] Batch [199]	Speed: 1042.058115 samples/sec	rmse=0.019140	lr=0.299556
Epoch[70] Batch [249]	Speed: 1042.450711 samples/sec	rmse=0.019134	lr=0.299444
Epoch[70] Batch [299]	Speed: 1041.076831 samples/sec	rmse=0.019177	lr=0.299332
Epoch[70] Batch [349]	Speed: 1041.589957 samples/sec	rmse=0.019176	lr=0.299221
Epoch[70] Batch [399]	Speed: 1046.058982 samples/sec	rmse=0.019162	lr=0.299109
Epoch[70] Batch [449]	Speed: 1045.956089 samples/sec	rmse=0.019183	lr=0.298997
Epoch[70] Batch [499]	Speed: 1034.641969 samples/sec	rmse=0.019193	lr=0.298885
Epoch[70] Batch [549]	Speed: 1040.811450 samples/sec	rmse=0.019208	lr=0.298773
Epoch[70] Batch [599]	Speed: 1045.779383 samples/sec	rmse=0.019221	lr=0.298661
Epoch[70] Batch [649]	Speed: 1044.519445 samples/sec	rmse=0.019231	lr=0.298549
Epoch[70] Batch [699]	Speed: 1044.106769 samples/sec	rmse=0.019234	lr=0.298437
Epoch[70] Batch [749]	Speed: 1049.314476 samples/sec	rmse=0.019245	lr=0.298325
Epoch[70] Batch [799]	Speed: 1048.000490 samples/sec	rmse=0.019252	lr=0.298213
Epoch[70] Batch [849]	Speed: 1046.148038 samples/sec	rmse=0.019254	lr=0.298100
Epoch[70] Batch [899]	Speed: 1044.250732 samples/sec	rmse=0.019251	lr=0.297988
Epoch[70] Batch [949]	Speed: 1048.307944 samples/sec	rmse=0.019247	lr=0.297876
Epoch[70] Batch [999]	Speed: 1042.759490 samples/sec	rmse=0.019252	lr=0.297763
Epoch[70] Batch [1049]	Speed: 1046.508293 samples/sec	rmse=0.019255	lr=0.297651
Epoch[70] Batch [1099]	Speed: 1046.701428 samples/sec	rmse=0.019264	lr=0.297539
Epoch[70] Batch [1149]	Speed: 1046.569163 samples/sec	rmse=0.019274	lr=0.297426
Epoch[70] Batch [1199]	Speed: 1047.204173 samples/sec	rmse=0.019275	lr=0.297314
Epoch[70] Batch [1249]	Speed: 1045.204516 samples/sec	rmse=0.019281	lr=0.297201
[Epoch 70] training: rmse=0.019280
[Epoch 70] speed: 1044 samples/sec	time cost: 1240.409135
[Epoch 70] validation: err-top1=0.347895 err-top5=0.128787
Epoch[71] Batch [49]	Speed: 1056.557539 samples/sec	rmse=0.019222	lr=0.297086
Epoch[71] Batch [99]	Speed: 1039.992880 samples/sec	rmse=0.019303	lr=0.296974
Epoch[71] Batch [149]	Speed: 1040.812242 samples/sec	rmse=0.019333	lr=0.296861
Epoch[71] Batch [199]	Speed: 1042.263699 samples/sec	rmse=0.019317	lr=0.296748
Epoch[71] Batch [249]	Speed: 1039.113150 samples/sec	rmse=0.019275	lr=0.296636
Epoch[71] Batch [299]	Speed: 1039.720450 samples/sec	rmse=0.019285	lr=0.296523
Epoch[71] Batch [349]	Speed: 1046.093673 samples/sec	rmse=0.019265	lr=0.296410
Epoch[71] Batch [399]	Speed: 1043.841262 samples/sec	rmse=0.019237	lr=0.296297
Epoch[71] Batch [449]	Speed: 1042.916761 samples/sec	rmse=0.019246	lr=0.296184
Epoch[71] Batch [499]	Speed: 1042.265242 samples/sec	rmse=0.019239	lr=0.296071
Epoch[71] Batch [549]	Speed: 1047.132394 samples/sec	rmse=0.019237	lr=0.295958
Epoch[71] Batch [599]	Speed: 1043.016376 samples/sec	rmse=0.019224	lr=0.295845
Epoch[71] Batch [649]	Speed: 1044.164126 samples/sec	rmse=0.019218	lr=0.295732
Epoch[71] Batch [699]	Speed: 1044.365544 samples/sec	rmse=0.019225	lr=0.295619
Epoch[71] Batch [749]	Speed: 1041.998239 samples/sec	rmse=0.019223	lr=0.295506
Epoch[71] Batch [799]	Speed: 1045.771937 samples/sec	rmse=0.019214	lr=0.295393
Epoch[71] Batch [849]	Speed: 1039.490025 samples/sec	rmse=0.019196	lr=0.295280
Epoch[71] Batch [899]	Speed: 1040.346307 samples/sec	rmse=0.019211	lr=0.295167
Epoch[71] Batch [949]	Speed: 1044.533172 samples/sec	rmse=0.019215	lr=0.295053
Epoch[71] Batch [999]	Speed: 1046.268589 samples/sec	rmse=0.019218	lr=0.294940
Epoch[71] Batch [1049]	Speed: 1042.574649 samples/sec	rmse=0.019222	lr=0.294827
Epoch[71] Batch [1099]	Speed: 1042.986818 samples/sec	rmse=0.019217	lr=0.294713
Epoch[71] Batch [1149]	Speed: 1029.987685 samples/sec	rmse=0.019232	lr=0.294600
Epoch[71] Batch [1199]	Speed: 1039.751893 samples/sec	rmse=0.019235	lr=0.294486
Epoch[71] Batch [1249]	Speed: 1048.660005 samples/sec	rmse=0.019234	lr=0.294373
[Epoch 71] training: rmse=0.019232
[Epoch 71] speed: 1042 samples/sec	time cost: 1243.289373
[Epoch 71] validation: err-top1=0.338229 err-top5=0.122190
Epoch[72] Batch [49]	Speed: 1057.070277 samples/sec	rmse=0.018902	lr=0.294257
Epoch[72] Batch [99]	Speed: 1047.285001 samples/sec	rmse=0.019020	lr=0.294143
Epoch[72] Batch [149]	Speed: 1047.873081 samples/sec	rmse=0.019010	lr=0.294030
Epoch[72] Batch [199]	Speed: 1046.486655 samples/sec	rmse=0.019033	lr=0.293916
Epoch[72] Batch [249]	Speed: 1044.217899 samples/sec	rmse=0.019047	lr=0.293802
Epoch[72] Batch [299]	Speed: 1045.999256 samples/sec	rmse=0.019064	lr=0.293688
Epoch[72] Batch [349]	Speed: 1042.715055 samples/sec	rmse=0.019089	lr=0.293575
Epoch[72] Batch [399]	Speed: 1044.687172 samples/sec	rmse=0.019114	lr=0.293461
Epoch[72] Batch [449]	Speed: 1043.982771 samples/sec	rmse=0.019127	lr=0.293347
Epoch[72] Batch [499]	Speed: 1044.671433 samples/sec	rmse=0.019118	lr=0.293233
Epoch[72] Batch [549]	Speed: 1044.532877 samples/sec	rmse=0.019132	lr=0.293119
Epoch[72] Batch [599]	Speed: 1042.527483 samples/sec	rmse=0.019144	lr=0.293005
Epoch[72] Batch [649]	Speed: 1035.834662 samples/sec	rmse=0.019148	lr=0.292891
Epoch[72] Batch [699]	Speed: 1045.480530 samples/sec	rmse=0.019163	lr=0.292777
Epoch[72] Batch [749]	Speed: 1039.908646 samples/sec	rmse=0.019180	lr=0.292663
Epoch[72] Batch [799]	Speed: 1043.474652 samples/sec	rmse=0.019196	lr=0.292549
Epoch[72] Batch [849]	Speed: 1036.108808 samples/sec	rmse=0.019200	lr=0.292435
Epoch[72] Batch [899]	Speed: 1044.079535 samples/sec	rmse=0.019216	lr=0.292320
Epoch[72] Batch [949]	Speed: 1033.262833 samples/sec	rmse=0.019224	lr=0.292206
Epoch[72] Batch [999]	Speed: 1040.770607 samples/sec	rmse=0.019229	lr=0.292092
Epoch[72] Batch [1049]	Speed: 1039.562596 samples/sec	rmse=0.019233	lr=0.291977
Epoch[72] Batch [1099]	Speed: 1043.819912 samples/sec	rmse=0.019240	lr=0.291863
Epoch[72] Batch [1149]	Speed: 1042.521814 samples/sec	rmse=0.019245	lr=0.291749
Epoch[72] Batch [1199]	Speed: 1042.249181 samples/sec	rmse=0.019261	lr=0.291634
Epoch[72] Batch [1249]	Speed: 1043.500958 samples/sec	rmse=0.019262	lr=0.291520
[Epoch 72] training: rmse=0.019262
[Epoch 72] speed: 1042 samples/sec	time cost: 1241.961625
[Epoch 72] validation: err-top1=0.333367 err-top5=0.120277
Epoch[73] Batch [49]	Speed: 1054.741660 samples/sec	rmse=0.019152	lr=0.291403
Epoch[73] Batch [99]	Speed: 1041.578555 samples/sec	rmse=0.019003	lr=0.291288
Epoch[73] Batch [149]	Speed: 1044.382097 samples/sec	rmse=0.018949	lr=0.291174
Epoch[73] Batch [199]	Speed: 1044.886413 samples/sec	rmse=0.018984	lr=0.291059
Epoch[73] Batch [249]	Speed: 1043.980224 samples/sec	rmse=0.018973	lr=0.290944
Epoch[73] Batch [299]	Speed: 1047.850916 samples/sec	rmse=0.018993	lr=0.290830
Epoch[73] Batch [349]	Speed: 1029.937189 samples/sec	rmse=0.019022	lr=0.290715
Epoch[73] Batch [399]	Speed: 1043.653162 samples/sec	rmse=0.019033	lr=0.290600
Epoch[73] Batch [449]	Speed: 1044.999418 samples/sec	rmse=0.019050	lr=0.290485
Epoch[73] Batch [499]	Speed: 1044.201982 samples/sec	rmse=0.019068	lr=0.290370
Epoch[73] Batch [549]	Speed: 1042.143502 samples/sec	rmse=0.019063	lr=0.290256
Epoch[73] Batch [599]	Speed: 1045.549171 samples/sec	rmse=0.019067	lr=0.290141
Epoch[73] Batch [649]	Speed: 1046.694755 samples/sec	rmse=0.019092	lr=0.290026
Epoch[73] Batch [699]	Speed: 1047.105762 samples/sec	rmse=0.019098	lr=0.289911
Epoch[73] Batch [749]	Speed: 1045.573092 samples/sec	rmse=0.019107	lr=0.289796
Epoch[73] Batch [799]	Speed: 1046.286237 samples/sec	rmse=0.019128	lr=0.289680
Epoch[73] Batch [849]	Speed: 1045.738744 samples/sec	rmse=0.019135	lr=0.289565
Epoch[73] Batch [899]	Speed: 1044.137122 samples/sec	rmse=0.019140	lr=0.289450
Epoch[73] Batch [949]	Speed: 1044.691858 samples/sec	rmse=0.019151	lr=0.289335
Epoch[73] Batch [999]	Speed: 1047.381913 samples/sec	rmse=0.019154	lr=0.289220
Epoch[73] Batch [1049]	Speed: 1048.360712 samples/sec	rmse=0.019167	lr=0.289104
Epoch[73] Batch [1099]	Speed: 1044.657834 samples/sec	rmse=0.019175	lr=0.288989
Epoch[73] Batch [1149]	Speed: 1043.608475 samples/sec	rmse=0.019175	lr=0.288874
Epoch[73] Batch [1199]	Speed: 1041.381271 samples/sec	rmse=0.019178	lr=0.288758
Epoch[73] Batch [1249]	Speed: 1045.645095 samples/sec	rmse=0.019186	lr=0.288643
[Epoch 73] training: rmse=0.019186
[Epoch 73] speed: 1043 samples/sec	time cost: 1240.356280
[Epoch 73] validation: err-top1=0.328364 err-top5=0.115713
Epoch[74] Batch [49]	Speed: 1048.055708 samples/sec	rmse=0.019159	lr=0.288525
Epoch[74] Batch [99]	Speed: 1032.981962 samples/sec	rmse=0.019025	lr=0.288410
Epoch[74] Batch [149]	Speed: 1047.165706 samples/sec	rmse=0.019028	lr=0.288294
Epoch[74] Batch [199]	Speed: 1040.266637 samples/sec	rmse=0.019002	lr=0.288179
Epoch[74] Batch [249]	Speed: 1045.548993 samples/sec	rmse=0.019061	lr=0.288063
Epoch[74] Batch [299]	Speed: 1040.624929 samples/sec	rmse=0.019051	lr=0.287947
Epoch[74] Batch [349]	Speed: 1042.916092 samples/sec	rmse=0.019066	lr=0.287832
Epoch[74] Batch [399]	Speed: 1039.748555 samples/sec	rmse=0.019077	lr=0.287716
Epoch[74] Batch [449]	Speed: 1044.704950 samples/sec	rmse=0.019092	lr=0.287600
Epoch[74] Batch [499]	Speed: 1029.879557 samples/sec	rmse=0.019089	lr=0.287484
Epoch[74] Batch [549]	Speed: 1045.075238 samples/sec	rmse=0.019115	lr=0.287369
Epoch[74] Batch [599]	Speed: 1044.210278 samples/sec	rmse=0.019107	lr=0.287253
Epoch[74] Batch [649]	Speed: 1044.232538 samples/sec	rmse=0.019137	lr=0.287137
Epoch[74] Batch [699]	Speed: 1042.909295 samples/sec	rmse=0.019139	lr=0.287021
Epoch[74] Batch [749]	Speed: 1042.665502 samples/sec	rmse=0.019142	lr=0.286905
Epoch[74] Batch [799]	Speed: 1043.673502 samples/sec	rmse=0.019151	lr=0.286789
Epoch[74] Batch [849]	Speed: 1042.502628 samples/sec	rmse=0.019159	lr=0.286673
Epoch[74] Batch [899]	Speed: 1039.419521 samples/sec	rmse=0.019172	lr=0.286557
Epoch[74] Batch [949]	Speed: 1046.181241 samples/sec	rmse=0.019173	lr=0.286441
Epoch[74] Batch [999]	Speed: 1045.896355 samples/sec	rmse=0.019180	lr=0.286324
Epoch[74] Batch [1049]	Speed: 1043.309706 samples/sec	rmse=0.019191	lr=0.286208
Epoch[74] Batch [1099]	Speed: 1042.219636 samples/sec	rmse=0.019196	lr=0.286092
Epoch[74] Batch [1149]	Speed: 1036.912181 samples/sec	rmse=0.019203	lr=0.285976
Epoch[74] Batch [1199]	Speed: 1038.433034 samples/sec	rmse=0.019204	lr=0.285859
Epoch[74] Batch [1249]	Speed: 1048.806527 samples/sec	rmse=0.019211	lr=0.285743
[Epoch 74] training: rmse=0.019211
[Epoch 74] speed: 1041 samples/sec	time cost: 1243.108172
[Epoch 74] validation: err-top1=0.334622 err-top5=0.118842
Epoch[75] Batch [49]	Speed: 1061.424266 samples/sec	rmse=0.018981	lr=0.285624
Epoch[75] Batch [99]	Speed: 1046.573427 samples/sec	rmse=0.019013	lr=0.285508
Epoch[75] Batch [149]	Speed: 1046.756070 samples/sec	rmse=0.019032	lr=0.285392
Epoch[75] Batch [199]	Speed: 1048.001314 samples/sec	rmse=0.019025	lr=0.285275
Epoch[75] Batch [249]	Speed: 1045.945519 samples/sec	rmse=0.019040	lr=0.285159
Epoch[75] Batch [299]	Speed: 1044.304301 samples/sec	rmse=0.019067	lr=0.285042
Epoch[75] Batch [349]	Speed: 1042.531572 samples/sec	rmse=0.019092	lr=0.284926
Epoch[75] Batch [399]	Speed: 1042.559510 samples/sec	rmse=0.019124	lr=0.284809
Epoch[75] Batch [449]	Speed: 1041.606831 samples/sec	rmse=0.019111	lr=0.284692
Epoch[75] Batch [499]	Speed: 1045.104589 samples/sec	rmse=0.019129	lr=0.284576
Epoch[75] Batch [549]	Speed: 1045.113276 samples/sec	rmse=0.019147	lr=0.284459
Epoch[75] Batch [599]	Speed: 1037.076883 samples/sec	rmse=0.019153	lr=0.284342
Epoch[75] Batch [649]	Speed: 1045.367060 samples/sec	rmse=0.019135	lr=0.284225
Epoch[75] Batch [699]	Speed: 1042.272212 samples/sec	rmse=0.019156	lr=0.284109
Epoch[75] Batch [749]	Speed: 1043.615250 samples/sec	rmse=0.019159	lr=0.283992
Epoch[75] Batch [799]	Speed: 1044.809874 samples/sec	rmse=0.019162	lr=0.283875
Epoch[75] Batch [849]	Speed: 1035.488357 samples/sec	rmse=0.019168	lr=0.283758
Epoch[75] Batch [899]	Speed: 1038.994005 samples/sec	rmse=0.019169	lr=0.283641
Epoch[75] Batch [949]	Speed: 1045.894068 samples/sec	rmse=0.019166	lr=0.283524
Epoch[75] Batch [999]	Speed: 1043.250932 samples/sec	rmse=0.019171	lr=0.283407
Epoch[75] Batch [1049]	Speed: 1042.395035 samples/sec	rmse=0.019168	lr=0.283290
Epoch[75] Batch [1099]	Speed: 1041.696424 samples/sec	rmse=0.019171	lr=0.283173
Epoch[75] Batch [1149]	Speed: 1046.926743 samples/sec	rmse=0.019170	lr=0.283056
Epoch[75] Batch [1199]	Speed: 1046.826037 samples/sec	rmse=0.019176	lr=0.282938
Epoch[75] Batch [1249]	Speed: 1045.560334 samples/sec	rmse=0.019182	lr=0.282821
[Epoch 75] training: rmse=0.019182
[Epoch 75] speed: 1043 samples/sec	time cost: 1240.508402
[Epoch 75] validation: err-top1=0.321513 err-top5=0.113180
Epoch[76] Batch [49]	Speed: 1055.558618 samples/sec	rmse=0.019003	lr=0.282702
Epoch[76] Batch [99]	Speed: 1042.517168 samples/sec	rmse=0.018906	lr=0.282584
Epoch[76] Batch [149]	Speed: 1044.922806 samples/sec	rmse=0.018986	lr=0.282467
Epoch[76] Batch [199]	Speed: 1037.426697 samples/sec	rmse=0.019039	lr=0.282350
Epoch[76] Batch [249]	Speed: 1038.418809 samples/sec	rmse=0.019031	lr=0.282232
Epoch[76] Batch [299]	Speed: 1045.178812 samples/sec	rmse=0.019046	lr=0.282115
Epoch[76] Batch [349]	Speed: 1048.068281 samples/sec	rmse=0.019070	lr=0.281997
Epoch[76] Batch [399]	Speed: 1047.580645 samples/sec	rmse=0.019072	lr=0.281880
Epoch[76] Batch [449]	Speed: 1043.167791 samples/sec	rmse=0.019085	lr=0.281762
Epoch[76] Batch [499]	Speed: 1048.257479 samples/sec	rmse=0.019089	lr=0.281645
Epoch[76] Batch [549]	Speed: 1045.298586 samples/sec	rmse=0.019111	lr=0.281527
Epoch[76] Batch [599]	Speed: 1045.930297 samples/sec	rmse=0.019119	lr=0.281410
Epoch[76] Batch [649]	Speed: 1045.357956 samples/sec	rmse=0.019122	lr=0.281292
Epoch[76] Batch [699]	Speed: 1044.648631 samples/sec	rmse=0.019115	lr=0.281174
Epoch[76] Batch [749]	Speed: 1045.930587 samples/sec	rmse=0.019103	lr=0.281057
Epoch[76] Batch [799]	Speed: 1043.618309 samples/sec	rmse=0.019123	lr=0.280939
Epoch[76] Batch [849]	Speed: 1042.770346 samples/sec	rmse=0.019129	lr=0.280821
Epoch[76] Batch [899]	Speed: 1043.147609 samples/sec	rmse=0.019133	lr=0.280703
Epoch[76] Batch [949]	Speed: 1041.355264 samples/sec	rmse=0.019147	lr=0.280585
Epoch[76] Batch [999]	Speed: 1037.967029 samples/sec	rmse=0.019160	lr=0.280468
Epoch[76] Batch [1049]	Speed: 1042.481226 samples/sec	rmse=0.019164	lr=0.280350
Epoch[76] Batch [1099]	Speed: 1036.523024 samples/sec	rmse=0.019164	lr=0.280232
Epoch[76] Batch [1149]	Speed: 1040.470723 samples/sec	rmse=0.019167	lr=0.280114
Epoch[76] Batch [1199]	Speed: 1039.488913 samples/sec	rmse=0.019161	lr=0.279996
Epoch[76] Batch [1249]	Speed: 1042.045195 samples/sec	rmse=0.019167	lr=0.279878
[Epoch 76] training: rmse=0.019167
[Epoch 76] speed: 1042 samples/sec	time cost: 1241.654848
[Epoch 76] validation: err-top1=0.329520 err-top5=0.115693
Epoch[77] Batch [49]	Speed: 1060.324457 samples/sec	rmse=0.018986	lr=0.279757
Epoch[77] Batch [99]	Speed: 1037.631781 samples/sec	rmse=0.018960	lr=0.279639
Epoch[77] Batch [149]	Speed: 1043.009877 samples/sec	rmse=0.018964	lr=0.279521
Epoch[77] Batch [199]	Speed: 1033.711307 samples/sec	rmse=0.018973	lr=0.279403
Epoch[77] Batch [249]	Speed: 1043.364430 samples/sec	rmse=0.019022	lr=0.279285
Epoch[77] Batch [299]	Speed: 1044.519414 samples/sec	rmse=0.019052	lr=0.279166
Epoch[77] Batch [349]	Speed: 1043.114704 samples/sec	rmse=0.019051	lr=0.279048
Epoch[77] Batch [399]	Speed: 1043.085403 samples/sec	rmse=0.019091	lr=0.278930
Epoch[77] Batch [449]	Speed: 1043.184681 samples/sec	rmse=0.019098	lr=0.278811
Epoch[77] Batch [499]	Speed: 1042.281536 samples/sec	rmse=0.019103	lr=0.278693
Epoch[77] Batch [549]	Speed: 1045.239929 samples/sec	rmse=0.019105	lr=0.278575
Epoch[77] Batch [599]	Speed: 1044.396481 samples/sec	rmse=0.019107	lr=0.278456
Epoch[77] Batch [649]	Speed: 1045.031638 samples/sec	rmse=0.019111	lr=0.278338
Epoch[77] Batch [699]	Speed: 1040.532309 samples/sec	rmse=0.019111	lr=0.278219
Epoch[77] Batch [749]	Speed: 1043.847113 samples/sec	rmse=0.019111	lr=0.278101
Epoch[77] Batch [799]	Speed: 1042.559257 samples/sec	rmse=0.019118	lr=0.277982
Epoch[77] Batch [849]	Speed: 1043.422248 samples/sec	rmse=0.019118	lr=0.277863
Epoch[77] Batch [899]	Speed: 1034.725582 samples/sec	rmse=0.019123	lr=0.277745
Epoch[77] Batch [949]	Speed: 1042.164657 samples/sec	rmse=0.019131	lr=0.277626
Epoch[77] Batch [999]	Speed: 1045.420413 samples/sec	rmse=0.019134	lr=0.277507
Epoch[77] Batch [1049]	Speed: 1044.539411 samples/sec	rmse=0.019142	lr=0.277389
Epoch[77] Batch [1099]	Speed: 1044.015269 samples/sec	rmse=0.019147	lr=0.277270
Epoch[77] Batch [1149]	Speed: 1044.296577 samples/sec	rmse=0.019139	lr=0.277151
Epoch[77] Batch [1199]	Speed: 1044.366068 samples/sec	rmse=0.019141	lr=0.277032
Epoch[77] Batch [1249]	Speed: 1049.047313 samples/sec	rmse=0.019146	lr=0.276913
[Epoch 77] training: rmse=0.019146
[Epoch 77] speed: 1042 samples/sec	time cost: 1241.644328
[Epoch 77] validation: err-top1=0.330297 err-top5=0.118762
Epoch[78] Batch [49]	Speed: 1056.151208 samples/sec	rmse=0.018988	lr=0.276792
Epoch[78] Batch [99]	Speed: 1046.442499 samples/sec	rmse=0.018979	lr=0.276673
Epoch[78] Batch [149]	Speed: 1040.548852 samples/sec	rmse=0.018956	lr=0.276554
Epoch[78] Batch [199]	Speed: 1042.347242 samples/sec	rmse=0.018917	lr=0.276435
Epoch[78] Batch [249]	Speed: 1039.228807 samples/sec	rmse=0.018963	lr=0.276316
Epoch[78] Batch [299]	Speed: 1035.511161 samples/sec	rmse=0.019003	lr=0.276197
Epoch[78] Batch [349]	Speed: 1035.090225 samples/sec	rmse=0.018998	lr=0.276078
Epoch[78] Batch [399]	Speed: 1038.146405 samples/sec	rmse=0.019012	lr=0.275959
Epoch[78] Batch [449]	Speed: 1044.217747 samples/sec	rmse=0.019008	lr=0.275840
Epoch[78] Batch [499]	Speed: 1043.108274 samples/sec	rmse=0.019018	lr=0.275721
Epoch[78] Batch [549]	Speed: 1043.268854 samples/sec	rmse=0.019032	lr=0.275601
Epoch[78] Batch [599]	Speed: 1029.261461 samples/sec	rmse=0.019041	lr=0.275482
Epoch[78] Batch [649]	Speed: 1038.585809 samples/sec	rmse=0.019043	lr=0.275363
Epoch[78] Batch [699]	Speed: 1040.731305 samples/sec	rmse=0.019043	lr=0.275244
Epoch[78] Batch [749]	Speed: 1041.169316 samples/sec	rmse=0.019041	lr=0.275124
Epoch[78] Batch [799]	Speed: 1044.672465 samples/sec	rmse=0.019039	lr=0.275005
Epoch[78] Batch [849]	Speed: 1037.139912 samples/sec	rmse=0.019044	lr=0.274885
Epoch[78] Batch [899]	Speed: 1043.272640 samples/sec	rmse=0.019042	lr=0.274766
Epoch[78] Batch [949]	Speed: 1046.545594 samples/sec	rmse=0.019048	lr=0.274647
Epoch[78] Batch [999]	Speed: 1031.698040 samples/sec	rmse=0.019055	lr=0.274527
Epoch[78] Batch [1049]	Speed: 1044.240551 samples/sec	rmse=0.019064	lr=0.274408
Epoch[78] Batch [1099]	Speed: 1042.356390 samples/sec	rmse=0.019066	lr=0.274288
Epoch[78] Batch [1149]	Speed: 1046.922011 samples/sec	rmse=0.019065	lr=0.274168
Epoch[78] Batch [1199]	Speed: 1047.014022 samples/sec	rmse=0.019070	lr=0.274049
Epoch[78] Batch [1249]	Speed: 1047.548277 samples/sec	rmse=0.019069	lr=0.273929
[Epoch 78] training: rmse=0.019069
[Epoch 78] speed: 1040 samples/sec	time cost: 1244.674604
[Epoch 78] validation: err-top1=0.334821 err-top5=0.119380
Epoch[79] Batch [49]	Speed: 1052.034713 samples/sec	rmse=0.018984	lr=0.273807
Epoch[79] Batch [99]	Speed: 1045.174498 samples/sec	rmse=0.018933	lr=0.273687
Epoch[79] Batch [149]	Speed: 1047.086397 samples/sec	rmse=0.018891	lr=0.273568
Epoch[79] Batch [199]	Speed: 1043.329905 samples/sec	rmse=0.018929	lr=0.273448
Epoch[79] Batch [249]	Speed: 1046.675910 samples/sec	rmse=0.018978	lr=0.273328
Epoch[79] Batch [299]	Speed: 1044.542424 samples/sec	rmse=0.018977	lr=0.273208
Epoch[79] Batch [349]	Speed: 1044.387323 samples/sec	rmse=0.019006	lr=0.273088
Epoch[79] Batch [399]	Speed: 1043.101667 samples/sec	rmse=0.019028	lr=0.272969
Epoch[79] Batch [449]	Speed: 1043.550332 samples/sec	rmse=0.019038	lr=0.272849
Epoch[79] Batch [499]	Speed: 1047.061998 samples/sec	rmse=0.019037	lr=0.272729
Epoch[79] Batch [549]	Speed: 1046.260449 samples/sec	rmse=0.019040	lr=0.272609
Epoch[79] Batch [599]	Speed: 1029.658079 samples/sec	rmse=0.019039	lr=0.272489
Epoch[79] Batch [649]	Speed: 1042.201832 samples/sec	rmse=0.019052	lr=0.272369
Epoch[79] Batch [699]	Speed: 1039.197144 samples/sec	rmse=0.019058	lr=0.272249
Epoch[79] Batch [749]	Speed: 1044.715592 samples/sec	rmse=0.019051	lr=0.272128
Epoch[79] Batch [799]	Speed: 1033.878324 samples/sec	rmse=0.019056	lr=0.272008
Epoch[79] Batch [849]	Speed: 1039.279231 samples/sec	rmse=0.019059	lr=0.271888
Epoch[79] Batch [899]	Speed: 1045.897583 samples/sec	rmse=0.019053	lr=0.271768
Epoch[79] Batch [949]	Speed: 1043.206983 samples/sec	rmse=0.019048	lr=0.271648
Epoch[79] Batch [999]	Speed: 1043.477035 samples/sec	rmse=0.019053	lr=0.271527
Epoch[79] Batch [1049]	Speed: 1043.417336 samples/sec	rmse=0.019060	lr=0.271407
Epoch[79] Batch [1099]	Speed: 1044.121781 samples/sec	rmse=0.019068	lr=0.271287
Epoch[79] Batch [1149]	Speed: 1043.787056 samples/sec	rmse=0.019066	lr=0.271167
Epoch[79] Batch [1199]	Speed: 1043.768797 samples/sec	rmse=0.019069	lr=0.271046
Epoch[79] Batch [1249]	Speed: 1044.481058 samples/sec	rmse=0.019066	lr=0.270926
[Epoch 79] training: rmse=0.019066
[Epoch 79] speed: 1042 samples/sec	time cost: 1242.052474
[Epoch 79] validation: err-top1=0.329121 err-top5=0.116749
Epoch[80] Batch [49]	Speed: 1048.395152 samples/sec	rmse=0.018682	lr=0.270803
Epoch[80] Batch [99]	Speed: 1043.008377 samples/sec	rmse=0.018812	lr=0.270683
Epoch[80] Batch [149]	Speed: 1039.701865 samples/sec	rmse=0.018878	lr=0.270562
Epoch[80] Batch [199]	Speed: 1043.741109 samples/sec	rmse=0.018907	lr=0.270441
Epoch[80] Batch [249]	Speed: 1043.535068 samples/sec	rmse=0.018930	lr=0.270321
Epoch[80] Batch [299]	Speed: 1042.419045 samples/sec	rmse=0.018931	lr=0.270200
Epoch[80] Batch [349]	Speed: 1041.255289 samples/sec	rmse=0.018977	lr=0.270080
Epoch[80] Batch [399]	Speed: 1042.269840 samples/sec	rmse=0.018998	lr=0.269959
Epoch[80] Batch [449]	Speed: 1043.023722 samples/sec	rmse=0.019004	lr=0.269838
Epoch[80] Batch [499]	Speed: 1042.638287 samples/sec	rmse=0.019009	lr=0.269718
Epoch[80] Batch [549]	Speed: 1046.076811 samples/sec	rmse=0.019010	lr=0.269597
Epoch[80] Batch [599]	Speed: 1044.319826 samples/sec	rmse=0.019014	lr=0.269476
Epoch[80] Batch [649]	Speed: 1044.843460 samples/sec	rmse=0.019019	lr=0.269356
Epoch[80] Batch [699]	Speed: 1045.344339 samples/sec	rmse=0.019013	lr=0.269235
Epoch[80] Batch [749]	Speed: 1046.963610 samples/sec	rmse=0.019023	lr=0.269114
Epoch[80] Batch [799]	Speed: 1044.371345 samples/sec	rmse=0.019039	lr=0.268993
Epoch[80] Batch [849]	Speed: 1045.121704 samples/sec	rmse=0.019046	lr=0.268872
Epoch[80] Batch [899]	Speed: 1046.306373 samples/sec	rmse=0.019053	lr=0.268751
Epoch[80] Batch [949]	Speed: 1046.395481 samples/sec	rmse=0.019054	lr=0.268630
Epoch[80] Batch [999]	Speed: 1045.424510 samples/sec	rmse=0.019063	lr=0.268509
Epoch[80] Batch [1049]	Speed: 1043.489123 samples/sec	rmse=0.019065	lr=0.268388
Epoch[80] Batch [1099]	Speed: 1044.170188 samples/sec	rmse=0.019070	lr=0.268267
Epoch[80] Batch [1149]	Speed: 1041.631749 samples/sec	rmse=0.019079	lr=0.268146
Epoch[80] Batch [1199]	Speed: 1036.945742 samples/sec	rmse=0.019083	lr=0.268025
Epoch[80] Batch [1249]	Speed: 1045.266568 samples/sec	rmse=0.019086	lr=0.267904
[Epoch 80] training: rmse=0.019085
[Epoch 80] speed: 1043 samples/sec	time cost: 1241.168145
[Epoch 80] validation: err-top1=0.326172 err-top5=0.116012
Epoch[81] Batch [49]	Speed: 1052.193099 samples/sec	rmse=0.018843	lr=0.267780
Epoch[81] Batch [99]	Speed: 1043.503168 samples/sec	rmse=0.018892	lr=0.267659
Epoch[81] Batch [149]	Speed: 1041.856595 samples/sec	rmse=0.018893	lr=0.267538
Epoch[81] Batch [199]	Speed: 1042.814400 samples/sec	rmse=0.018854	lr=0.267417
Epoch[81] Batch [249]	Speed: 1040.339191 samples/sec	rmse=0.018889	lr=0.267296
Epoch[81] Batch [299]	Speed: 1041.028674 samples/sec	rmse=0.018878	lr=0.267174
Epoch[81] Batch [349]	Speed: 1039.573200 samples/sec	rmse=0.018924	lr=0.267053
Epoch[81] Batch [399]	Speed: 1033.529407 samples/sec	rmse=0.018935	lr=0.266932
Epoch[81] Batch [449]	Speed: 1042.314282 samples/sec	rmse=0.018955	lr=0.266810
Epoch[81] Batch [499]	Speed: 1042.101138 samples/sec	rmse=0.018972	lr=0.266689
Epoch[81] Batch [549]	Speed: 1033.016164 samples/sec	rmse=0.018980	lr=0.266567
Epoch[81] Batch [599]	Speed: 1036.436565 samples/sec	rmse=0.018994	lr=0.266446
Epoch[81] Batch [649]	Speed: 1046.896661 samples/sec	rmse=0.018989	lr=0.266324
Epoch[81] Batch [699]	Speed: 1043.054356 samples/sec	rmse=0.019002	lr=0.266203
Epoch[81] Batch [749]	Speed: 1041.860785 samples/sec	rmse=0.019010	lr=0.266081
Epoch[81] Batch [799]	Speed: 1035.757160 samples/sec	rmse=0.019011	lr=0.265960
Epoch[81] Batch [849]	Speed: 1041.724692 samples/sec	rmse=0.019016	lr=0.265838
Epoch[81] Batch [899]	Speed: 1039.010267 samples/sec	rmse=0.019029	lr=0.265717
Epoch[81] Batch [949]	Speed: 1040.183774 samples/sec	rmse=0.019035	lr=0.265595
Epoch[81] Batch [999]	Speed: 1043.472736 samples/sec	rmse=0.019036	lr=0.265473
Epoch[81] Batch [1049]	Speed: 1044.644002 samples/sec	rmse=0.019034	lr=0.265352
Epoch[81] Batch [1099]	Speed: 1043.749048 samples/sec	rmse=0.019032	lr=0.265230
Epoch[81] Batch [1149]	Speed: 1043.953397 samples/sec	rmse=0.019031	lr=0.265108
Epoch[81] Batch [1199]	Speed: 1042.781197 samples/sec	rmse=0.019027	lr=0.264986
Epoch[81] Batch [1249]	Speed: 1047.730219 samples/sec	rmse=0.019036	lr=0.264865
[Epoch 81] training: rmse=0.019036
[Epoch 81] speed: 1040 samples/sec	time cost: 1243.672665
[Epoch 81] validation: err-top1=0.362325 err-top5=0.142049
Epoch[82] Batch [49]	Speed: 1054.728761 samples/sec	rmse=0.018683	lr=0.264740
Epoch[82] Batch [99]	Speed: 1046.533614 samples/sec	rmse=0.018772	lr=0.264618
Epoch[82] Batch [149]	Speed: 1045.787689 samples/sec	rmse=0.018811	lr=0.264497
Epoch[82] Batch [199]	Speed: 1042.560021 samples/sec	rmse=0.018847	lr=0.264375
Epoch[82] Batch [249]	Speed: 1044.917493 samples/sec	rmse=0.018877	lr=0.264253
Epoch[82] Batch [299]	Speed: 1045.968642 samples/sec	rmse=0.018878	lr=0.264131
Epoch[82] Batch [349]	Speed: 1043.898681 samples/sec	rmse=0.018890	lr=0.264009
Epoch[82] Batch [399]	Speed: 1041.952474 samples/sec	rmse=0.018893	lr=0.263887
Epoch[82] Batch [449]	Speed: 1046.610922 samples/sec	rmse=0.018909	lr=0.263765
Epoch[82] Batch [499]	Speed: 1043.657215 samples/sec	rmse=0.018933	lr=0.263643
Epoch[82] Batch [549]	Speed: 1043.598113 samples/sec	rmse=0.018948	lr=0.263520
Epoch[82] Batch [599]	Speed: 1044.329658 samples/sec	rmse=0.018949	lr=0.263398
Epoch[82] Batch [649]	Speed: 1038.580680 samples/sec	rmse=0.018960	lr=0.263276
Epoch[82] Batch [699]	Speed: 1045.715575 samples/sec	rmse=0.018958	lr=0.263154
Epoch[82] Batch [749]	Speed: 1038.817677 samples/sec	rmse=0.018955	lr=0.263032
Epoch[82] Batch [799]	Speed: 1044.177220 samples/sec	rmse=0.018957	lr=0.262910
Epoch[82] Batch [849]	Speed: 1035.198316 samples/sec	rmse=0.018964	lr=0.262787
Epoch[82] Batch [899]	Speed: 1039.051580 samples/sec	rmse=0.018969	lr=0.262665
Epoch[82] Batch [949]	Speed: 1043.176761 samples/sec	rmse=0.018969	lr=0.262543
Epoch[82] Batch [999]	Speed: 1044.693708 samples/sec	rmse=0.018965	lr=0.262420
Epoch[82] Batch [1049]	Speed: 1040.697125 samples/sec	rmse=0.018966	lr=0.262298
Epoch[82] Batch [1099]	Speed: 1034.749877 samples/sec	rmse=0.018981	lr=0.262176
Epoch[82] Batch [1149]	Speed: 1043.993577 samples/sec	rmse=0.018981	lr=0.262053
Epoch[82] Batch [1199]	Speed: 1038.745330 samples/sec	rmse=0.018980	lr=0.261931
Epoch[82] Batch [1249]	Speed: 1042.234385 samples/sec	rmse=0.018991	lr=0.261808
[Epoch 82] training: rmse=0.018991
[Epoch 82] speed: 1042 samples/sec	time cost: 1242.431087
[Epoch 82] validation: err-top1=0.338170 err-top5=0.121532
Epoch[83] Batch [49]	Speed: 1054.523585 samples/sec	rmse=0.018980	lr=0.261683
Epoch[83] Batch [99]	Speed: 1040.382193 samples/sec	rmse=0.018925	lr=0.261561
Epoch[83] Batch [149]	Speed: 1041.666496 samples/sec	rmse=0.018957	lr=0.261438
Epoch[83] Batch [199]	Speed: 1038.283658 samples/sec	rmse=0.018973	lr=0.261316
Epoch[83] Batch [249]	Speed: 1044.769280 samples/sec	rmse=0.018958	lr=0.261193
Epoch[83] Batch [299]	Speed: 1036.197038 samples/sec	rmse=0.018971	lr=0.261071
Epoch[83] Batch [349]	Speed: 1041.560429 samples/sec	rmse=0.018976	lr=0.260948
Epoch[83] Batch [399]	Speed: 1039.557745 samples/sec	rmse=0.018976	lr=0.260825
Epoch[83] Batch [449]	Speed: 1040.959919 samples/sec	rmse=0.018972	lr=0.260703
Epoch[83] Batch [499]	Speed: 1042.895296 samples/sec	rmse=0.018967	lr=0.260580
Epoch[83] Batch [549]	Speed: 1034.885890 samples/sec	rmse=0.018987	lr=0.260457
Epoch[83] Batch [599]	Speed: 1042.878634 samples/sec	rmse=0.018990	lr=0.260334
Epoch[83] Batch [649]	Speed: 1043.797791 samples/sec	rmse=0.018991	lr=0.260211
Epoch[83] Batch [699]	Speed: 1042.397773 samples/sec	rmse=0.018987	lr=0.260089
Epoch[83] Batch [749]	Speed: 1044.242303 samples/sec	rmse=0.018996	lr=0.259966
Epoch[83] Batch [799]	Speed: 1044.110561 samples/sec	rmse=0.018995	lr=0.259843
Epoch[83] Batch [849]	Speed: 1043.288119 samples/sec	rmse=0.018986	lr=0.259720
Epoch[83] Batch [899]	Speed: 1042.965908 samples/sec	rmse=0.018987	lr=0.259597
Epoch[83] Batch [949]	Speed: 1045.831693 samples/sec	rmse=0.018989	lr=0.259474
Epoch[83] Batch [999]	Speed: 1046.648307 samples/sec	rmse=0.018993	lr=0.259351
Epoch[83] Batch [1049]	Speed: 1044.753193 samples/sec	rmse=0.018982	lr=0.259228
Epoch[83] Batch [1099]	Speed: 1040.754683 samples/sec	rmse=0.018990	lr=0.259105
Epoch[83] Batch [1149]	Speed: 1041.597738 samples/sec	rmse=0.018996	lr=0.258982
Epoch[83] Batch [1199]	Speed: 1042.259020 samples/sec	rmse=0.019001	lr=0.258859
Epoch[83] Batch [1249]	Speed: 1044.255424 samples/sec	rmse=0.019010	lr=0.258736
[Epoch 83] training: rmse=0.019010
[Epoch 83] speed: 1041 samples/sec	time cost: 1243.034500
[Epoch 83] validation: err-top1=0.341000 err-top5=0.122987
Epoch[84] Batch [49]	Speed: 1054.567680 samples/sec	rmse=0.018944	lr=0.258610
Epoch[84] Batch [99]	Speed: 1037.557534 samples/sec	rmse=0.018934	lr=0.258487
Epoch[84] Batch [149]	Speed: 1036.404012 samples/sec	rmse=0.018923	lr=0.258364
Epoch[84] Batch [199]	Speed: 1034.220186 samples/sec	rmse=0.018906	lr=0.258241
Epoch[84] Batch [249]	Speed: 1035.719175 samples/sec	rmse=0.018917	lr=0.258118
Epoch[84] Batch [299]	Speed: 1038.484928 samples/sec	rmse=0.018911	lr=0.257994
Epoch[84] Batch [349]	Speed: 1042.449036 samples/sec	rmse=0.018924	lr=0.257871
Epoch[84] Batch [399]	Speed: 1034.970933 samples/sec	rmse=0.018934	lr=0.257748
Epoch[84] Batch [449]	Speed: 1042.890156 samples/sec	rmse=0.018941	lr=0.257625
Epoch[84] Batch [499]	Speed: 1028.314336 samples/sec	rmse=0.018949	lr=0.257501
Epoch[84] Batch [549]	Speed: 1035.999147 samples/sec	rmse=0.018957	lr=0.257378
Epoch[84] Batch [599]	Speed: 1041.887454 samples/sec	rmse=0.018960	lr=0.257255
Epoch[84] Batch [649]	Speed: 1042.792873 samples/sec	rmse=0.018969	lr=0.257131
Epoch[84] Batch [699]	Speed: 1042.629403 samples/sec	rmse=0.018982	lr=0.257008
Epoch[84] Batch [749]	Speed: 1038.896402 samples/sec	rmse=0.018978	lr=0.256884
Epoch[84] Batch [799]	Speed: 1038.284637 samples/sec	rmse=0.018971	lr=0.256761
Epoch[84] Batch [849]	Speed: 1043.865547 samples/sec	rmse=0.018967	lr=0.256637
Epoch[84] Batch [899]	Speed: 1044.194163 samples/sec	rmse=0.018970	lr=0.256514
Epoch[84] Batch [949]	Speed: 1036.826167 samples/sec	rmse=0.018982	lr=0.256390
Epoch[84] Batch [999]	Speed: 1042.465670 samples/sec	rmse=0.018981	lr=0.256267
Epoch[84] Batch [1049]	Speed: 1041.165404 samples/sec	rmse=0.018980	lr=0.256143
Epoch[84] Batch [1099]	Speed: 1034.806674 samples/sec	rmse=0.018988	lr=0.256019
Epoch[84] Batch [1149]	Speed: 1041.160351 samples/sec	rmse=0.018992	lr=0.255896
Epoch[84] Batch [1199]	Speed: 1043.336621 samples/sec	rmse=0.019003	lr=0.255772
Epoch[84] Batch [1249]	Speed: 1042.204674 samples/sec	rmse=0.019007	lr=0.255648
[Epoch 84] training: rmse=0.019008
[Epoch 84] speed: 1038 samples/sec	time cost: 1246.139595
[Epoch 84] validation: err-top1=0.313576 err-top5=0.106326
Epoch[85] Batch [49]	Speed: 1051.925881 samples/sec	rmse=0.018570	lr=0.255522
Epoch[85] Batch [99]	Speed: 1041.020403 samples/sec	rmse=0.018699	lr=0.255399
Epoch[85] Batch [149]	Speed: 1044.083702 samples/sec	rmse=0.018742	lr=0.255275
Epoch[85] Batch [199]	Speed: 1042.970340 samples/sec	rmse=0.018740	lr=0.255151
Epoch[85] Batch [249]	Speed: 1043.952290 samples/sec	rmse=0.018776	lr=0.255027
Epoch[85] Batch [299]	Speed: 1041.779139 samples/sec	rmse=0.018794	lr=0.254903
Epoch[85] Batch [349]	Speed: 1043.062164 samples/sec	rmse=0.018795	lr=0.254780
Epoch[85] Batch [399]	Speed: 1045.249254 samples/sec	rmse=0.018801	lr=0.254656
Epoch[85] Batch [449]	Speed: 1045.373446 samples/sec	rmse=0.018823	lr=0.254532
Epoch[85] Batch [499]	Speed: 1042.399488 samples/sec	rmse=0.018822	lr=0.254408
Epoch[85] Batch [549]	Speed: 1042.892369 samples/sec	rmse=0.018831	lr=0.254284
Epoch[85] Batch [599]	Speed: 1044.160643 samples/sec	rmse=0.018836	lr=0.254160
Epoch[85] Batch [649]	Speed: 1043.389184 samples/sec	rmse=0.018843	lr=0.254036
Epoch[85] Batch [699]	Speed: 1040.740192 samples/sec	rmse=0.018860	lr=0.253912
Epoch[85] Batch [749]	Speed: 1043.966658 samples/sec	rmse=0.018874	lr=0.253788
Epoch[85] Batch [799]	Speed: 1040.197307 samples/sec	rmse=0.018876	lr=0.253664
Epoch[85] Batch [849]	Speed: 1045.200899 samples/sec	rmse=0.018889	lr=0.253540
Epoch[85] Batch [899]	Speed: 1039.158067 samples/sec	rmse=0.018898	lr=0.253416
Epoch[85] Batch [949]	Speed: 1040.239557 samples/sec	rmse=0.018909	lr=0.253292
Epoch[85] Batch [999]	Speed: 1036.478399 samples/sec	rmse=0.018906	lr=0.253167
Epoch[85] Batch [1049]	Speed: 1038.300882 samples/sec	rmse=0.018905	lr=0.253043
Epoch[85] Batch [1099]	Speed: 1040.670280 samples/sec	rmse=0.018915	lr=0.252919
Epoch[85] Batch [1149]	Speed: 1041.311490 samples/sec	rmse=0.018929	lr=0.252795
Epoch[85] Batch [1199]	Speed: 1042.859830 samples/sec	rmse=0.018936	lr=0.252671
Epoch[85] Batch [1249]	Speed: 1043.971728 samples/sec	rmse=0.018941	lr=0.252546
[Epoch 85] training: rmse=0.018941
[Epoch 85] speed: 1041 samples/sec	time cost: 1243.792377
[Epoch 85] validation: err-top1=0.326212 err-top5=0.115254
Epoch[86] Batch [49]	Speed: 1050.667542 samples/sec	rmse=0.018651	lr=0.252420
Epoch[86] Batch [99]	Speed: 1039.749668 samples/sec	rmse=0.018755	lr=0.252295
Epoch[86] Batch [149]	Speed: 1042.042495 samples/sec	rmse=0.018699	lr=0.252171
Epoch[86] Batch [199]	Speed: 1043.652031 samples/sec	rmse=0.018674	lr=0.252047
Epoch[86] Batch [249]	Speed: 1041.102566 samples/sec	rmse=0.018706	lr=0.251922
Epoch[86] Batch [299]	Speed: 1042.260315 samples/sec	rmse=0.018720	lr=0.251798
Epoch[86] Batch [349]	Speed: 1040.652433 samples/sec	rmse=0.018726	lr=0.251674
Epoch[86] Batch [399]	Speed: 1042.899784 samples/sec	rmse=0.018736	lr=0.251549
Epoch[86] Batch [449]	Speed: 1041.177847 samples/sec	rmse=0.018759	lr=0.251425
Epoch[86] Batch [499]	Speed: 1037.842815 samples/sec	rmse=0.018771	lr=0.251300
Epoch[86] Batch [549]	Speed: 1041.730862 samples/sec	rmse=0.018781	lr=0.251176
Epoch[86] Batch [599]	Speed: 1033.599860 samples/sec	rmse=0.018788	lr=0.251051
Epoch[86] Batch [649]	Speed: 1042.782432 samples/sec	rmse=0.018782	lr=0.250927
Epoch[86] Batch [699]	Speed: 1040.822210 samples/sec	rmse=0.018786	lr=0.250802
Epoch[86] Batch [749]	Speed: 1043.157125 samples/sec	rmse=0.018798	lr=0.250678
Epoch[86] Batch [799]	Speed: 1039.046613 samples/sec	rmse=0.018809	lr=0.250553
Epoch[86] Batch [849]	Speed: 1044.710708 samples/sec	rmse=0.018814	lr=0.250428
Epoch[86] Batch [899]	Speed: 1042.480163 samples/sec	rmse=0.018822	lr=0.250304
Epoch[86] Batch [949]	Speed: 1045.890126 samples/sec	rmse=0.018830	lr=0.250179
Epoch[86] Batch [999]	Speed: 1044.293032 samples/sec	rmse=0.018834	lr=0.250054
Epoch[86] Batch [1049]	Speed: 1043.237259 samples/sec	rmse=0.018843	lr=0.249930
Epoch[86] Batch [1099]	Speed: 1042.310492 samples/sec	rmse=0.018848	lr=0.249805
Epoch[86] Batch [1149]	Speed: 1042.433269 samples/sec	rmse=0.018848	lr=0.249680
Epoch[86] Batch [1199]	Speed: 1043.780354 samples/sec	rmse=0.018854	lr=0.249556
Epoch[86] Batch [1249]	Speed: 1043.458275 samples/sec	rmse=0.018858	lr=0.249431
[Epoch 86] training: rmse=0.018857
[Epoch 86] speed: 1041 samples/sec	time cost: 1243.359687
[Epoch 86] validation: err-top1=0.313038 err-top5=0.105588
Epoch[87] Batch [49]	Speed: 1051.584837 samples/sec	rmse=0.018783	lr=0.249304
Epoch[87] Batch [99]	Speed: 1041.530337 samples/sec	rmse=0.018753	lr=0.249179
Epoch[87] Batch [149]	Speed: 1040.155076 samples/sec	rmse=0.018724	lr=0.249054
Epoch[87] Batch [199]	Speed: 1041.916278 samples/sec	rmse=0.018717	lr=0.248929
Epoch[87] Batch [249]	Speed: 1027.832897 samples/sec	rmse=0.018724	lr=0.248804
Epoch[87] Batch [299]	Speed: 1040.541944 samples/sec	rmse=0.018748	lr=0.248679
Epoch[87] Batch [349]	Speed: 1039.581554 samples/sec	rmse=0.018774	lr=0.248554
Epoch[87] Batch [399]	Speed: 1042.012153 samples/sec	rmse=0.018788	lr=0.248429
Epoch[87] Batch [449]	Speed: 1036.825141 samples/sec	rmse=0.018806	lr=0.248304
Epoch[87] Batch [499]	Speed: 1028.300470 samples/sec	rmse=0.018826	lr=0.248179
Epoch[87] Batch [549]	Speed: 1040.943016 samples/sec	rmse=0.018838	lr=0.248054
Epoch[87] Batch [599]	Speed: 1038.803255 samples/sec	rmse=0.018849	lr=0.247929
Epoch[87] Batch [649]	Speed: 1039.763381 samples/sec	rmse=0.018843	lr=0.247804
Epoch[87] Batch [699]	Speed: 1042.208887 samples/sec	rmse=0.018848	lr=0.247679
Epoch[87] Batch [749]	Speed: 1040.511724 samples/sec	rmse=0.018855	lr=0.247554
Epoch[87] Batch [799]	Speed: 1041.442475 samples/sec	rmse=0.018863	lr=0.247429
Epoch[87] Batch [849]	Speed: 1041.391138 samples/sec	rmse=0.018871	lr=0.247304
Epoch[87] Batch [899]	Speed: 1034.497405 samples/sec	rmse=0.018864	lr=0.247179
Epoch[87] Batch [949]	Speed: 1043.525084 samples/sec	rmse=0.018875	lr=0.247054
Epoch[87] Batch [999]	Speed: 1039.548773 samples/sec	rmse=0.018879	lr=0.246929
Epoch[87] Batch [1049]	Speed: 1031.606625 samples/sec	rmse=0.018893	lr=0.246803
Epoch[87] Batch [1099]	Speed: 1038.940024 samples/sec	rmse=0.018907	lr=0.246678
Epoch[87] Batch [1149]	Speed: 1042.415381 samples/sec	rmse=0.018906	lr=0.246553
Epoch[87] Batch [1199]	Speed: 1042.312724 samples/sec	rmse=0.018908	lr=0.246428
Epoch[87] Batch [1249]	Speed: 1046.040975 samples/sec	rmse=0.018911	lr=0.246302
[Epoch 87] training: rmse=0.018911
[Epoch 87] speed: 1038 samples/sec	time cost: 1246.014610
[Epoch 87] validation: err-top1=0.310832 err-top5=0.105835
Epoch[88] Batch [49]	Speed: 1052.362573 samples/sec	rmse=0.018717	lr=0.246175
Epoch[88] Batch [99]	Speed: 1043.508279 samples/sec	rmse=0.018711	lr=0.246049
Epoch[88] Batch [149]	Speed: 1043.943257 samples/sec	rmse=0.018690	lr=0.245924
Epoch[88] Batch [199]	Speed: 1045.362277 samples/sec	rmse=0.018681	lr=0.245799
Epoch[88] Batch [249]	Speed: 1046.428966 samples/sec	rmse=0.018669	lr=0.245673
Epoch[88] Batch [299]	Speed: 1043.270207 samples/sec	rmse=0.018689	lr=0.245548
Epoch[88] Batch [349]	Speed: 1046.198891 samples/sec	rmse=0.018699	lr=0.245422
Epoch[88] Batch [399]	Speed: 1044.764716 samples/sec	rmse=0.018697	lr=0.245297
Epoch[88] Batch [449]	Speed: 1041.761830 samples/sec	rmse=0.018713	lr=0.245172
Epoch[88] Batch [499]	Speed: 1045.907098 samples/sec	rmse=0.018726	lr=0.245046
Epoch[88] Batch [549]	Speed: 1040.187150 samples/sec	rmse=0.018747	lr=0.244921
Epoch[88] Batch [599]	Speed: 1039.496133 samples/sec	rmse=0.018752	lr=0.244795
Epoch[88] Batch [649]	Speed: 1034.410984 samples/sec	rmse=0.018749	lr=0.244670
Epoch[88] Batch [699]	Speed: 1038.031280 samples/sec	rmse=0.018746	lr=0.244544
Epoch[88] Batch [749]	Speed: 1036.361263 samples/sec	rmse=0.018752	lr=0.244418
Epoch[88] Batch [799]	Speed: 1031.469348 samples/sec	rmse=0.018753	lr=0.244293
Epoch[88] Batch [849]	Speed: 1039.117303 samples/sec	rmse=0.018766	lr=0.244167
Epoch[88] Batch [899]	Speed: 1038.850251 samples/sec	rmse=0.018767	lr=0.244042
Epoch[88] Batch [949]	Speed: 1028.282060 samples/sec	rmse=0.018785	lr=0.243916
Epoch[88] Batch [999]	Speed: 1037.826043 samples/sec	rmse=0.018809	lr=0.243790
Epoch[88] Batch [1049]	Speed: 1041.119853 samples/sec	rmse=0.018826	lr=0.243665
Epoch[88] Batch [1099]	Speed: 1034.613287 samples/sec	rmse=0.018833	lr=0.243539
Epoch[88] Batch [1149]	Speed: 1034.272297 samples/sec	rmse=0.018842	lr=0.243413
Epoch[88] Batch [1199]	Speed: 1041.173405 samples/sec	rmse=0.018848	lr=0.243288
Epoch[88] Batch [1249]	Speed: 1028.501794 samples/sec	rmse=0.018859	lr=0.243162
[Epoch 88] training: rmse=0.018859
[Epoch 88] speed: 1039 samples/sec	time cost: 1246.159017
[Epoch 88] validation: err-top1=0.323302 err-top5=0.114098
Epoch[89] Batch [49]	Speed: 1051.366969 samples/sec	rmse=0.018558	lr=0.243034
Epoch[89] Batch [99]	Speed: 1044.015787 samples/sec	rmse=0.018674	lr=0.242908
Epoch[89] Batch [149]	Speed: 1040.042824 samples/sec	rmse=0.018697	lr=0.242782
Epoch[89] Batch [199]	Speed: 1041.628738 samples/sec	rmse=0.018707	lr=0.242656
Epoch[89] Batch [249]	Speed: 1039.071509 samples/sec	rmse=0.018749	lr=0.242530
Epoch[89] Batch [299]	Speed: 1041.554913 samples/sec	rmse=0.018752	lr=0.242405
Epoch[89] Batch [349]	Speed: 1044.190837 samples/sec	rmse=0.018738	lr=0.242279
Epoch[89] Batch [399]	Speed: 1041.187176 samples/sec	rmse=0.018774	lr=0.242153
Epoch[89] Batch [449]	Speed: 1039.065461 samples/sec	rmse=0.018772	lr=0.242027
Epoch[89] Batch [499]	Speed: 1036.083279 samples/sec	rmse=0.018764	lr=0.241901
Epoch[89] Batch [549]	Speed: 1033.557446 samples/sec	rmse=0.018783	lr=0.241775
Epoch[89] Batch [599]	Speed: 1043.020409 samples/sec	rmse=0.018785	lr=0.241649
Epoch[89] Batch [649]	Speed: 1045.836205 samples/sec	rmse=0.018800	lr=0.241523
Epoch[89] Batch [699]	Speed: 1040.728480 samples/sec	rmse=0.018805	lr=0.241397
Epoch[89] Batch [749]	Speed: 1043.429777 samples/sec	rmse=0.018802	lr=0.241271
Epoch[89] Batch [799]	Speed: 1047.211256 samples/sec	rmse=0.018810	lr=0.241145
Epoch[89] Batch [849]	Speed: 1043.555733 samples/sec	rmse=0.018816	lr=0.241019
Epoch[89] Batch [899]	Speed: 1044.840771 samples/sec	rmse=0.018821	lr=0.240893
Epoch[89] Batch [949]	Speed: 1044.072931 samples/sec	rmse=0.018821	lr=0.240767
Epoch[89] Batch [999]	Speed: 1044.300604 samples/sec	rmse=0.018825	lr=0.240641
Epoch[89] Batch [1049]	Speed: 1044.814977 samples/sec	rmse=0.018829	lr=0.240515
Epoch[89] Batch [1099]	Speed: 1043.955523 samples/sec	rmse=0.018838	lr=0.240389
Epoch[89] Batch [1149]	Speed: 1043.359670 samples/sec	rmse=0.018848	lr=0.240263
Epoch[89] Batch [1199]	Speed: 1039.469984 samples/sec	rmse=0.018841	lr=0.240136
Epoch[89] Batch [1249]	Speed: 1046.603046 samples/sec	rmse=0.018844	lr=0.240010
[Epoch 89] training: rmse=0.018843
[Epoch 89] speed: 1041 samples/sec	time cost: 1242.814287
[Epoch 89] validation: err-top1=0.315968 err-top5=0.108737
Epoch[90] Batch [49]	Speed: 1053.114207 samples/sec	rmse=0.018659	lr=0.239881
Epoch[90] Batch [99]	Speed: 1041.137373 samples/sec	rmse=0.018651	lr=0.239755
Epoch[90] Batch [149]	Speed: 1034.056633 samples/sec	rmse=0.018691	lr=0.239629
Epoch[90] Batch [199]	Speed: 1028.877818 samples/sec	rmse=0.018712	lr=0.239503
Epoch[90] Batch [249]	Speed: 1044.201977 samples/sec	rmse=0.018731	lr=0.239377
Epoch[90] Batch [299]	Speed: 1034.388095 samples/sec	rmse=0.018741	lr=0.239250
Epoch[90] Batch [349]	Speed: 1035.796527 samples/sec	rmse=0.018731	lr=0.239124
Epoch[90] Batch [399]	Speed: 1040.695859 samples/sec	rmse=0.018726	lr=0.238998
Epoch[90] Batch [449]	Speed: 1039.382847 samples/sec	rmse=0.018756	lr=0.238871
Epoch[90] Batch [499]	Speed: 1035.037228 samples/sec	rmse=0.018774	lr=0.238745
Epoch[90] Batch [549]	Speed: 1045.470193 samples/sec	rmse=0.018784	lr=0.238619
Epoch[90] Batch [599]	Speed: 1038.635302 samples/sec	rmse=0.018793	lr=0.238492
Epoch[90] Batch [649]	Speed: 1038.764223 samples/sec	rmse=0.018797	lr=0.238366
Epoch[90] Batch [699]	Speed: 1042.248878 samples/sec	rmse=0.018807	lr=0.238240
Epoch[90] Batch [749]	Speed: 1042.249672 samples/sec	rmse=0.018813	lr=0.238113
Epoch[90] Batch [799]	Speed: 1040.009017 samples/sec	rmse=0.018811	lr=0.237987
Epoch[90] Batch [849]	Speed: 1045.934627 samples/sec	rmse=0.018811	lr=0.237860
Epoch[90] Batch [899]	Speed: 1043.499305 samples/sec	rmse=0.018809	lr=0.237734
Epoch[90] Batch [949]	Speed: 1035.185207 samples/sec	rmse=0.018814	lr=0.237607
Epoch[90] Batch [999]	Speed: 1042.372079 samples/sec	rmse=0.018810	lr=0.237481
Epoch[90] Batch [1049]	Speed: 1043.597155 samples/sec	rmse=0.018810	lr=0.237354
Epoch[90] Batch [1099]	Speed: 1044.033729 samples/sec	rmse=0.018814	lr=0.237228
Epoch[90] Batch [1149]	Speed: 1041.697763 samples/sec	rmse=0.018811	lr=0.237101
Epoch[90] Batch [1199]	Speed: 1042.625657 samples/sec	rmse=0.018806	lr=0.236975
Epoch[90] Batch [1249]	Speed: 1047.196339 samples/sec	rmse=0.018804	lr=0.236848
[Epoch 90] training: rmse=0.018804
[Epoch 90] speed: 1039 samples/sec	time cost: 1244.966858
[Epoch 90] validation: err-top1=0.334343 err-top5=0.122110
Epoch[91] Batch [49]	Speed: 1055.008435 samples/sec	rmse=0.018574	lr=0.236719
Epoch[91] Batch [99]	Speed: 1043.843916 samples/sec	rmse=0.018649	lr=0.236592
Epoch[91] Batch [149]	Speed: 1048.964716 samples/sec	rmse=0.018623	lr=0.236466
Epoch[91] Batch [199]	Speed: 1044.947634 samples/sec	rmse=0.018582	lr=0.236339
Epoch[91] Batch [249]	Speed: 1046.303350 samples/sec	rmse=0.018577	lr=0.236213
Epoch[91] Batch [299]	Speed: 1044.130223 samples/sec	rmse=0.018604	lr=0.236086
Epoch[91] Batch [349]	Speed: 1044.569556 samples/sec	rmse=0.018612	lr=0.235959
Epoch[91] Batch [399]	Speed: 1042.574548 samples/sec	rmse=0.018649	lr=0.235832
Epoch[91] Batch [449]	Speed: 1045.418438 samples/sec	rmse=0.018657	lr=0.235706
Epoch[91] Batch [499]	Speed: 1046.295999 samples/sec	rmse=0.018665	lr=0.235579
Epoch[91] Batch [549]	Speed: 1045.242142 samples/sec	rmse=0.018666	lr=0.235452
Epoch[91] Batch [599]	Speed: 1044.618594 samples/sec	rmse=0.018675	lr=0.235326
Epoch[91] Batch [649]	Speed: 1041.141356 samples/sec	rmse=0.018690	lr=0.235199
Epoch[91] Batch [699]	Speed: 1041.164752 samples/sec	rmse=0.018704	lr=0.235072
Epoch[91] Batch [749]	Speed: 1045.838217 samples/sec	rmse=0.018721	lr=0.234945
Epoch[91] Batch [799]	Speed: 1039.309581 samples/sec	rmse=0.018724	lr=0.234818
Epoch[91] Batch [849]	Speed: 1039.614498 samples/sec	rmse=0.018728	lr=0.234692
Epoch[91] Batch [899]	Speed: 1040.649513 samples/sec	rmse=0.018746	lr=0.234565
Epoch[91] Batch [949]	Speed: 1032.637969 samples/sec	rmse=0.018760	lr=0.234438
Epoch[91] Batch [999]	Speed: 1039.625167 samples/sec	rmse=0.018769	lr=0.234311
Epoch[91] Batch [1049]	Speed: 1039.085974 samples/sec	rmse=0.018783	lr=0.234184
Epoch[91] Batch [1099]	Speed: 1033.856488 samples/sec	rmse=0.018784	lr=0.234057
Epoch[91] Batch [1149]	Speed: 1041.639444 samples/sec	rmse=0.018788	lr=0.233930
Epoch[91] Batch [1199]	Speed: 1041.778623 samples/sec	rmse=0.018789	lr=0.233803
Epoch[91] Batch [1249]	Speed: 1038.926252 samples/sec	rmse=0.018792	lr=0.233676
[Epoch 91] training: rmse=0.018792
[Epoch 91] speed: 1041 samples/sec	time cost: 1242.696906
[Epoch 91] validation: err-top1=0.326272 err-top5=0.115573
Epoch[92] Batch [49]	Speed: 1060.027511 samples/sec	rmse=0.018378	lr=0.233547
Epoch[92] Batch [99]	Speed: 1041.814851 samples/sec	rmse=0.018456	lr=0.233420
Epoch[92] Batch [149]	Speed: 1047.294026 samples/sec	rmse=0.018505	lr=0.233293
Epoch[92] Batch [199]	Speed: 1045.630650 samples/sec	rmse=0.018538	lr=0.233166
Epoch[92] Batch [249]	Speed: 1039.611191 samples/sec	rmse=0.018566	lr=0.233039
Epoch[92] Batch [299]	Speed: 1040.624425 samples/sec	rmse=0.018570	lr=0.232912
Epoch[92] Batch [349]	Speed: 1043.070179 samples/sec	rmse=0.018585	lr=0.232785
Epoch[92] Batch [399]	Speed: 1044.629357 samples/sec	rmse=0.018605	lr=0.232658
Epoch[92] Batch [449]	Speed: 1045.590166 samples/sec	rmse=0.018608	lr=0.232531
Epoch[92] Batch [499]	Speed: 1040.330658 samples/sec	rmse=0.018624	lr=0.232404
Epoch[92] Batch [549]	Speed: 1044.067459 samples/sec	rmse=0.018648	lr=0.232277
Epoch[92] Batch [599]	Speed: 1044.017122 samples/sec	rmse=0.018657	lr=0.232150
Epoch[92] Batch [649]	Speed: 1043.417270 samples/sec	rmse=0.018667	lr=0.232023
Epoch[92] Batch [699]	Speed: 1043.438320 samples/sec	rmse=0.018680	lr=0.231895
Epoch[92] Batch [749]	Speed: 1045.162936 samples/sec	rmse=0.018684	lr=0.231768
Epoch[92] Batch [799]	Speed: 1045.217758 samples/sec	rmse=0.018694	lr=0.231641
Epoch[92] Batch [849]	Speed: 1047.179115 samples/sec	rmse=0.018695	lr=0.231514
Epoch[92] Batch [899]	Speed: 1043.977645 samples/sec	rmse=0.018703	lr=0.231387
Epoch[92] Batch [949]	Speed: 1047.067053 samples/sec	rmse=0.018712	lr=0.231260
Epoch[92] Batch [999]	Speed: 1043.715552 samples/sec	rmse=0.018717	lr=0.231132
Epoch[92] Batch [1049]	Speed: 1046.409009 samples/sec	rmse=0.018722	lr=0.231005
Epoch[92] Batch [1099]	Speed: 1046.319251 samples/sec	rmse=0.018726	lr=0.230878
Epoch[92] Batch [1149]	Speed: 1044.111389 samples/sec	rmse=0.018738	lr=0.230751
Epoch[92] Batch [1199]	Speed: 1047.271406 samples/sec	rmse=0.018747	lr=0.230623
Epoch[92] Batch [1249]	Speed: 1047.196109 samples/sec	rmse=0.018756	lr=0.230496
[Epoch 92] training: rmse=0.018755
[Epoch 92] speed: 1044 samples/sec	time cost: 1240.093144
[Epoch 92] validation: err-top1=0.303970 err-top5=0.100486
Epoch[93] Batch [49]	Speed: 1042.861779 samples/sec	rmse=0.018762	lr=0.230366
Epoch[93] Batch [99]	Speed: 1033.732117 samples/sec	rmse=0.018655	lr=0.230239
Epoch[93] Batch [149]	Speed: 1034.597322 samples/sec	rmse=0.018608	lr=0.230112
Epoch[93] Batch [199]	Speed: 1042.934412 samples/sec	rmse=0.018618	lr=0.229984
Epoch[93] Batch [249]	Speed: 1038.900157 samples/sec	rmse=0.018623	lr=0.229857
Epoch[93] Batch [299]	Speed: 1039.472626 samples/sec	rmse=0.018637	lr=0.229730
Epoch[93] Batch [349]	Speed: 1042.551311 samples/sec	rmse=0.018616	lr=0.229602
Epoch[93] Batch [399]	Speed: 1028.502055 samples/sec	rmse=0.018621	lr=0.229475
Epoch[93] Batch [449]	Speed: 1039.742288 samples/sec	rmse=0.018641	lr=0.229348
Epoch[93] Batch [499]	Speed: 1043.844317 samples/sec	rmse=0.018649	lr=0.229220
Epoch[93] Batch [549]	Speed: 1035.633035 samples/sec	rmse=0.018658	lr=0.229093
Epoch[93] Batch [599]	Speed: 1039.067814 samples/sec	rmse=0.018660	lr=0.228965
Epoch[93] Batch [649]	Speed: 1044.187232 samples/sec	rmse=0.018657	lr=0.228838
Epoch[93] Batch [699]	Speed: 1045.399608 samples/sec	rmse=0.018677	lr=0.228710
Epoch[93] Batch [749]	Speed: 1042.316270 samples/sec	rmse=0.018685	lr=0.228583
Epoch[93] Batch [799]	Speed: 1036.612079 samples/sec	rmse=0.018693	lr=0.228456
Epoch[93] Batch [849]	Speed: 1041.861619 samples/sec	rmse=0.018707	lr=0.228328
Epoch[93] Batch [899]	Speed: 1036.106964 samples/sec	rmse=0.018710	lr=0.228201
Epoch[93] Batch [949]	Speed: 1044.288396 samples/sec	rmse=0.018708	lr=0.228073
Epoch[93] Batch [999]	Speed: 1042.732634 samples/sec	rmse=0.018710	lr=0.227946
Epoch[93] Batch [1049]	Speed: 1044.086718 samples/sec	rmse=0.018718	lr=0.227818
Epoch[93] Batch [1099]	Speed: 1045.975953 samples/sec	rmse=0.018723	lr=0.227691
Epoch[93] Batch [1149]	Speed: 1044.364442 samples/sec	rmse=0.018726	lr=0.227563
Epoch[93] Batch [1199]	Speed: 1044.716726 samples/sec	rmse=0.018728	lr=0.227435
Epoch[93] Batch [1249]	Speed: 1046.036751 samples/sec	rmse=0.018734	lr=0.227308
[Epoch 93] training: rmse=0.018733
[Epoch 93] speed: 1039 samples/sec	time cost: 1245.624698
[Epoch 93] validation: err-top1=0.318380 err-top5=0.110026
Epoch[94] Batch [49]	Speed: 1058.454972 samples/sec	rmse=0.018594	lr=0.227178
Epoch[94] Batch [99]	Speed: 1043.270399 samples/sec	rmse=0.018549	lr=0.227050
Epoch[94] Batch [149]	Speed: 1044.733432 samples/sec	rmse=0.018600	lr=0.226922
Epoch[94] Batch [199]	Speed: 1043.185522 samples/sec	rmse=0.018641	lr=0.226795
Epoch[94] Batch [249]	Speed: 1048.299086 samples/sec	rmse=0.018616	lr=0.226667
Epoch[94] Batch [299]	Speed: 1047.262437 samples/sec	rmse=0.018590	lr=0.226540
Epoch[94] Batch [349]	Speed: 1047.244128 samples/sec	rmse=0.018595	lr=0.226412
Epoch[94] Batch [399]	Speed: 1044.411308 samples/sec	rmse=0.018612	lr=0.226284
Epoch[94] Batch [449]	Speed: 1046.307475 samples/sec	rmse=0.018609	lr=0.226157
Epoch[94] Batch [499]	Speed: 1047.325980 samples/sec	rmse=0.018625	lr=0.226029
Epoch[94] Batch [549]	Speed: 1045.369335 samples/sec	rmse=0.018630	lr=0.225901
Epoch[94] Batch [599]	Speed: 1042.908774 samples/sec	rmse=0.018638	lr=0.225774
Epoch[94] Batch [649]	Speed: 1041.869787 samples/sec	rmse=0.018637	lr=0.225646
Epoch[94] Batch [699]	Speed: 1045.005373 samples/sec	rmse=0.018648	lr=0.225518
Epoch[94] Batch [749]	Speed: 1040.859718 samples/sec	rmse=0.018656	lr=0.225390
Epoch[94] Batch [799]	Speed: 1044.111739 samples/sec	rmse=0.018665	lr=0.225263
Epoch[94] Batch [849]	Speed: 1042.890718 samples/sec	rmse=0.018674	lr=0.225135
Epoch[94] Batch [899]	Speed: 1037.285412 samples/sec	rmse=0.018680	lr=0.225007
Epoch[94] Batch [949]	Speed: 1039.456012 samples/sec	rmse=0.018685	lr=0.224879
Epoch[94] Batch [999]	Speed: 1043.096985 samples/sec	rmse=0.018689	lr=0.224752
Epoch[94] Batch [1049]	Speed: 1033.079207 samples/sec	rmse=0.018699	lr=0.224624
Epoch[94] Batch [1099]	Speed: 1036.164810 samples/sec	rmse=0.018701	lr=0.224496
Epoch[94] Batch [1149]	Speed: 1041.933455 samples/sec	rmse=0.018703	lr=0.224368
Epoch[94] Batch [1199]	Speed: 1038.820637 samples/sec	rmse=0.018706	lr=0.224240
Epoch[94] Batch [1249]	Speed: 1046.401488 samples/sec	rmse=0.018715	lr=0.224112
[Epoch 94] training: rmse=0.018715
[Epoch 94] speed: 1042 samples/sec	time cost: 1241.545176
[Epoch 94] validation: err-top1=0.317961 err-top5=0.109116
Epoch[95] Batch [49]	Speed: 1057.449655 samples/sec	rmse=0.018339	lr=0.223982
Epoch[95] Batch [99]	Speed: 1043.177718 samples/sec	rmse=0.018415	lr=0.223854
Epoch[95] Batch [149]	Speed: 1037.332371 samples/sec	rmse=0.018455	lr=0.223726
Epoch[95] Batch [199]	Speed: 1043.506525 samples/sec	rmse=0.018440	lr=0.223598
Epoch[95] Batch [249]	Speed: 1043.384393 samples/sec	rmse=0.018459	lr=0.223471
Epoch[95] Batch [299]	Speed: 1040.667042 samples/sec	rmse=0.018488	lr=0.223343
Epoch[95] Batch [349]	Speed: 1042.373719 samples/sec	rmse=0.018527	lr=0.223215
Epoch[95] Batch [399]	Speed: 1043.083128 samples/sec	rmse=0.018546	lr=0.223087
Epoch[95] Batch [449]	Speed: 1044.035014 samples/sec	rmse=0.018568	lr=0.222959
Epoch[95] Batch [499]	Speed: 1029.797265 samples/sec	rmse=0.018574	lr=0.222831
Epoch[95] Batch [549]	Speed: 1039.936746 samples/sec	rmse=0.018579	lr=0.222703
Epoch[95] Batch [599]	Speed: 1042.601233 samples/sec	rmse=0.018593	lr=0.222575
Epoch[95] Batch [649]	Speed: 1044.284226 samples/sec	rmse=0.018602	lr=0.222447
Epoch[95] Batch [699]	Speed: 1043.999779 samples/sec	rmse=0.018608	lr=0.222319
Epoch[95] Batch [749]	Speed: 1045.311489 samples/sec	rmse=0.018608	lr=0.222191
Epoch[95] Batch [799]	Speed: 1043.862598 samples/sec	rmse=0.018611	lr=0.222063
Epoch[95] Batch [849]	Speed: 1044.755750 samples/sec	rmse=0.018616	lr=0.221935
Epoch[95] Batch [899]	Speed: 1044.361395 samples/sec	rmse=0.018620	lr=0.221807
Epoch[95] Batch [949]	Speed: 1043.878354 samples/sec	rmse=0.018626	lr=0.221679
Epoch[95] Batch [999]	Speed: 1047.075538 samples/sec	rmse=0.018622	lr=0.221551
Epoch[95] Batch [1049]	Speed: 1043.554155 samples/sec	rmse=0.018627	lr=0.221423
Epoch[95] Batch [1099]	Speed: 1043.558648 samples/sec	rmse=0.018629	lr=0.221295
Epoch[95] Batch [1149]	Speed: 1041.208736 samples/sec	rmse=0.018635	lr=0.221167
Epoch[95] Batch [1199]	Speed: 1044.145057 samples/sec	rmse=0.018636	lr=0.221039
Epoch[95] Batch [1249]	Speed: 1045.542818 samples/sec	rmse=0.018634	lr=0.220911
[Epoch 95] training: rmse=0.018635
[Epoch 95] speed: 1042 samples/sec	time cost: 1242.205304
[Epoch 95] validation: err-top1=0.311105 err-top5=0.108040
Epoch[96] Batch [49]	Speed: 1056.807691 samples/sec	rmse=0.018291	lr=0.220780
Epoch[96] Batch [99]	Speed: 1043.161239 samples/sec	rmse=0.018388	lr=0.220652
Epoch[96] Batch [149]	Speed: 1036.020849 samples/sec	rmse=0.018485	lr=0.220524
Epoch[96] Batch [199]	Speed: 1028.881569 samples/sec	rmse=0.018453	lr=0.220396
Epoch[96] Batch [249]	Speed: 1044.113973 samples/sec	rmse=0.018474	lr=0.220268
Epoch[96] Batch [299]	Speed: 1034.075191 samples/sec	rmse=0.018474	lr=0.220140
Epoch[96] Batch [349]	Speed: 1042.386504 samples/sec	rmse=0.018467	lr=0.220012
Epoch[96] Batch [399]	Speed: 1040.258040 samples/sec	rmse=0.018462	lr=0.219883
Epoch[96] Batch [449]	Speed: 1040.417148 samples/sec	rmse=0.018462	lr=0.219755
Epoch[96] Batch [499]	Speed: 1042.891488 samples/sec	rmse=0.018463	lr=0.219627
Epoch[96] Batch [549]	Speed: 1039.716846 samples/sec	rmse=0.018466	lr=0.219499
Epoch[96] Batch [599]	Speed: 1041.387977 samples/sec	rmse=0.018479	lr=0.219371
Epoch[96] Batch [649]	Speed: 1038.552588 samples/sec	rmse=0.018486	lr=0.219243
Epoch[96] Batch [699]	Speed: 1038.232588 samples/sec	rmse=0.018494	lr=0.219114
Epoch[96] Batch [749]	Speed: 1043.896469 samples/sec	rmse=0.018504	lr=0.218986
Epoch[96] Batch [799]	Speed: 1042.328483 samples/sec	rmse=0.018522	lr=0.218858
Epoch[96] Batch [849]	Speed: 1047.241197 samples/sec	rmse=0.018528	lr=0.218730
Epoch[96] Batch [899]	Speed: 1039.504476 samples/sec	rmse=0.018530	lr=0.218602
Epoch[96] Batch [949]	Speed: 1044.407930 samples/sec	rmse=0.018544	lr=0.218473
Epoch[96] Batch [999]	Speed: 1033.528248 samples/sec	rmse=0.018547	lr=0.218345
Epoch[96] Batch [1049]	Speed: 1044.516193 samples/sec	rmse=0.018551	lr=0.218217
Epoch[96] Batch [1099]	Speed: 1043.084978 samples/sec	rmse=0.018560	lr=0.218089
Epoch[96] Batch [1149]	Speed: 1045.330733 samples/sec	rmse=0.018568	lr=0.217960
Epoch[96] Batch [1199]	Speed: 1041.274318 samples/sec	rmse=0.018578	lr=0.217832
Epoch[96] Batch [1249]	Speed: 1044.886164 samples/sec	rmse=0.018586	lr=0.217704
[Epoch 96] training: rmse=0.018586
[Epoch 96] speed: 1040 samples/sec	time cost: 1244.304751
[Epoch 96] validation: err-top1=0.310407 err-top5=0.105250
Epoch[97] Batch [49]	Speed: 1054.501526 samples/sec	rmse=0.018275	lr=0.217573
Epoch[97] Batch [99]	Speed: 1046.611156 samples/sec	rmse=0.018291	lr=0.217445
Epoch[97] Batch [149]	Speed: 1042.448156 samples/sec	rmse=0.018293	lr=0.217316
Epoch[97] Batch [199]	Speed: 1045.193630 samples/sec	rmse=0.018330	lr=0.217188
Epoch[97] Batch [249]	Speed: 1046.097281 samples/sec	rmse=0.018338	lr=0.217060
Epoch[97] Batch [299]	Speed: 1046.061198 samples/sec	rmse=0.018382	lr=0.216931
Epoch[97] Batch [349]	Speed: 1046.514504 samples/sec	rmse=0.018407	lr=0.216803
Epoch[97] Batch [399]	Speed: 1045.553651 samples/sec	rmse=0.018441	lr=0.216675
Epoch[97] Batch [449]	Speed: 1046.916152 samples/sec	rmse=0.018453	lr=0.216546
Epoch[97] Batch [499]	Speed: 1045.129700 samples/sec	rmse=0.018467	lr=0.216418
Epoch[97] Batch [549]	Speed: 1044.977263 samples/sec	rmse=0.018477	lr=0.216290
Epoch[97] Batch [599]	Speed: 1044.068306 samples/sec	rmse=0.018488	lr=0.216161
Epoch[97] Batch [649]	Speed: 1045.807073 samples/sec	rmse=0.018492	lr=0.216033
Epoch[97] Batch [699]	Speed: 1040.655111 samples/sec	rmse=0.018499	lr=0.215905
Epoch[97] Batch [749]	Speed: 1045.473761 samples/sec	rmse=0.018500	lr=0.215776
Epoch[97] Batch [799]	Speed: 1035.150612 samples/sec	rmse=0.018512	lr=0.215648
Epoch[97] Batch [849]	Speed: 1042.554221 samples/sec	rmse=0.018525	lr=0.215519
Epoch[97] Batch [899]	Speed: 1044.259872 samples/sec	rmse=0.018528	lr=0.215391
Epoch[97] Batch [949]	Speed: 1043.222952 samples/sec	rmse=0.018545	lr=0.215263
Epoch[97] Batch [999]	Speed: 1040.424820 samples/sec	rmse=0.018548	lr=0.215134
Epoch[97] Batch [1049]	Speed: 1042.257092 samples/sec	rmse=0.018554	lr=0.215006
Epoch[97] Batch [1099]	Speed: 1032.046758 samples/sec	rmse=0.018563	lr=0.214877
Epoch[97] Batch [1149]	Speed: 1034.941834 samples/sec	rmse=0.018573	lr=0.214749
Epoch[97] Batch [1199]	Speed: 1043.376850 samples/sec	rmse=0.018582	lr=0.214621
Epoch[97] Batch [1249]	Speed: 1047.222087 samples/sec	rmse=0.018592	lr=0.214492
[Epoch 97] training: rmse=0.018591
[Epoch 97] speed: 1042 samples/sec	time cost: 1241.671138
[Epoch 97] validation: err-top1=0.324976 err-top5=0.114915
Epoch[98] Batch [49]	Speed: 1059.394591 samples/sec	rmse=0.018347	lr=0.214361
Epoch[98] Batch [99]	Speed: 1041.745562 samples/sec	rmse=0.018310	lr=0.214233
Epoch[98] Batch [149]	Speed: 1042.424580 samples/sec	rmse=0.018381	lr=0.214104
Epoch[98] Batch [199]	Speed: 1046.013731 samples/sec	rmse=0.018454	lr=0.213976
Epoch[98] Batch [249]	Speed: 1041.640106 samples/sec	rmse=0.018475	lr=0.213847
Epoch[98] Batch [299]	Speed: 1044.152419 samples/sec	rmse=0.018468	lr=0.213719
Epoch[98] Batch [349]	Speed: 1044.409779 samples/sec	rmse=0.018480	lr=0.213590
Epoch[98] Batch [399]	Speed: 1044.121973 samples/sec	rmse=0.018498	lr=0.213462
Epoch[98] Batch [449]	Speed: 1042.862372 samples/sec	rmse=0.018506	lr=0.213333
Epoch[98] Batch [499]	Speed: 1042.756922 samples/sec	rmse=0.018515	lr=0.213205
Epoch[98] Batch [549]	Speed: 1034.422723 samples/sec	rmse=0.018505	lr=0.213076
Epoch[98] Batch [599]	Speed: 1041.587613 samples/sec	rmse=0.018498	lr=0.212948
Epoch[98] Batch [649]	Speed: 1044.403841 samples/sec	rmse=0.018498	lr=0.212819
Epoch[98] Batch [699]	Speed: 1041.287456 samples/sec	rmse=0.018500	lr=0.212691
Epoch[98] Batch [749]	Speed: 1046.182653 samples/sec	rmse=0.018507	lr=0.212562
Epoch[98] Batch [799]	Speed: 1043.259979 samples/sec	rmse=0.018520	lr=0.212434
Epoch[98] Batch [849]	Speed: 1047.482440 samples/sec	rmse=0.018522	lr=0.212305
Epoch[98] Batch [899]	Speed: 1046.411874 samples/sec	rmse=0.018537	lr=0.212177
Epoch[98] Batch [949]	Speed: 1045.565069 samples/sec	rmse=0.018545	lr=0.212048
Epoch[98] Batch [999]	Speed: 1046.583750 samples/sec	rmse=0.018555	lr=0.211920
Epoch[98] Batch [1049]	Speed: 1045.474646 samples/sec	rmse=0.018563	lr=0.211791
Epoch[98] Batch [1099]	Speed: 1046.560890 samples/sec	rmse=0.018563	lr=0.211662
Epoch[98] Batch [1149]	Speed: 1044.193391 samples/sec	rmse=0.018565	lr=0.211534
Epoch[98] Batch [1199]	Speed: 1044.778170 samples/sec	rmse=0.018571	lr=0.211405
Epoch[98] Batch [1249]	Speed: 1046.289688 samples/sec	rmse=0.018576	lr=0.211277
[Epoch 98] training: rmse=0.018575
[Epoch 98] speed: 1043 samples/sec	time cost: 1240.499548
[Epoch 98] validation: err-top1=0.302775 err-top5=0.101400
Epoch[99] Batch [49]	Speed: 1051.452688 samples/sec	rmse=0.018309	lr=0.211146
Epoch[99] Batch [99]	Speed: 1041.559798 samples/sec	rmse=0.018392	lr=0.211017
Epoch[99] Batch [149]	Speed: 1045.322388 samples/sec	rmse=0.018336	lr=0.210888
Epoch[99] Batch [199]	Speed: 1044.150814 samples/sec	rmse=0.018339	lr=0.210760
Epoch[99] Batch [249]	Speed: 1044.018741 samples/sec	rmse=0.018333	lr=0.210631
Epoch[99] Batch [299]	Speed: 1041.065354 samples/sec	rmse=0.018363	lr=0.210503
Epoch[99] Batch [349]	Speed: 1045.814717 samples/sec	rmse=0.018376	lr=0.210374
Epoch[99] Batch [399]	Speed: 1030.145574 samples/sec	rmse=0.018406	lr=0.210245
Epoch[99] Batch [449]	Speed: 1038.777719 samples/sec	rmse=0.018415	lr=0.210117
Epoch[99] Batch [499]	Speed: 1041.406324 samples/sec	rmse=0.018432	lr=0.209988
Epoch[99] Batch [549]	Speed: 1042.958821 samples/sec	rmse=0.018455	lr=0.209859
Epoch[99] Batch [599]	Speed: 1039.260733 samples/sec	rmse=0.018452	lr=0.209731
Epoch[99] Batch [649]	Speed: 1039.307403 samples/sec	rmse=0.018467	lr=0.209602
Epoch[99] Batch [699]	Speed: 1041.583774 samples/sec	rmse=0.018472	lr=0.209474
Epoch[99] Batch [749]	Speed: 1045.622382 samples/sec	rmse=0.018474	lr=0.209345
Epoch[99] Batch [799]	Speed: 1036.099575 samples/sec	rmse=0.018490	lr=0.209216
Epoch[99] Batch [849]	Speed: 1042.451035 samples/sec	rmse=0.018495	lr=0.209088
Epoch[99] Batch [899]	Speed: 1041.485649 samples/sec	rmse=0.018499	lr=0.208959
Epoch[99] Batch [949]	Speed: 1040.991099 samples/sec	rmse=0.018502	lr=0.208830
Epoch[99] Batch [999]	Speed: 1039.817215 samples/sec	rmse=0.018510	lr=0.208702
Epoch[99] Batch [1049]	Speed: 1041.244096 samples/sec	rmse=0.018521	lr=0.208573
Epoch[99] Batch [1099]	Speed: 1046.088689 samples/sec	rmse=0.018529	lr=0.208444
Epoch[99] Batch [1149]	Speed: 1044.699669 samples/sec	rmse=0.018537	lr=0.208316
Epoch[99] Batch [1199]	Speed: 1047.516510 samples/sec	rmse=0.018546	lr=0.208187
Epoch[99] Batch [1249]	Speed: 1042.128749 samples/sec	rmse=0.018565	lr=0.208058
[Epoch 99] training: rmse=0.018565
[Epoch 99] speed: 1041 samples/sec	time cost: 1243.087894
[Epoch 99] validation: err-top1=0.313178 err-top5=0.106684
Epoch[100] Batch [49]	Speed: 1051.632131 samples/sec	rmse=0.018401	lr=0.207927
Epoch[100] Batch [99]	Speed: 1043.177267 samples/sec	rmse=0.018374	lr=0.207798
Epoch[100] Batch [149]	Speed: 1042.415290 samples/sec	rmse=0.018338	lr=0.207670
Epoch[100] Batch [199]	Speed: 1044.150520 samples/sec	rmse=0.018383	lr=0.207541
Epoch[100] Batch [249]	Speed: 1041.709143 samples/sec	rmse=0.018415	lr=0.207412
Epoch[100] Batch [299]	Speed: 1043.871316 samples/sec	rmse=0.018445	lr=0.207284
Epoch[100] Batch [349]	Speed: 1044.958413 samples/sec	rmse=0.018457	lr=0.207155
Epoch[100] Batch [399]	Speed: 1045.308553 samples/sec	rmse=0.018460	lr=0.207026
Epoch[100] Batch [449]	Speed: 1044.070327 samples/sec	rmse=0.018459	lr=0.206898
Epoch[100] Batch [499]	Speed: 1042.184169 samples/sec	rmse=0.018454	lr=0.206769
Epoch[100] Batch [549]	Speed: 1041.445212 samples/sec	rmse=0.018450	lr=0.206640
Epoch[100] Batch [599]	Speed: 1038.600074 samples/sec	rmse=0.018454	lr=0.206511
Epoch[100] Batch [649]	Speed: 1032.011951 samples/sec	rmse=0.018465	lr=0.206383
Epoch[100] Batch [699]	Speed: 1039.873170 samples/sec	rmse=0.018481	lr=0.206254
Epoch[100] Batch [749]	Speed: 1039.151570 samples/sec	rmse=0.018483	lr=0.206125
Epoch[100] Batch [799]	Speed: 1039.226705 samples/sec	rmse=0.018501	lr=0.205997
Epoch[100] Batch [849]	Speed: 1039.673567 samples/sec	rmse=0.018504	lr=0.205868
Epoch[100] Batch [899]	Speed: 1034.473933 samples/sec	rmse=0.018505	lr=0.205739
Epoch[100] Batch [949]	Speed: 1042.539042 samples/sec	rmse=0.018503	lr=0.205610
Epoch[100] Batch [999]	Speed: 1037.873658 samples/sec	rmse=0.018507	lr=0.205482
Epoch[100] Batch [1049]	Speed: 1040.518752 samples/sec	rmse=0.018511	lr=0.205353
Epoch[100] Batch [1099]	Speed: 1028.510961 samples/sec	rmse=0.018513	lr=0.205224
Epoch[100] Batch [1149]	Speed: 1038.386714 samples/sec	rmse=0.018516	lr=0.205095
Epoch[100] Batch [1199]	Speed: 1039.981145 samples/sec	rmse=0.018521	lr=0.204967
Epoch[100] Batch [1249]	Speed: 1043.681237 samples/sec	rmse=0.018532	lr=0.204838
[Epoch 100] training: rmse=0.018533
[Epoch 100] speed: 1039 samples/sec	time cost: 1245.768018
[Epoch 100] validation: err-top1=0.315470 err-top5=0.113022
Epoch[101] Batch [49]	Speed: 1055.750910 samples/sec	rmse=0.018365	lr=0.204707
Epoch[101] Batch [99]	Speed: 1045.479181 samples/sec	rmse=0.018315	lr=0.204578
Epoch[101] Batch [149]	Speed: 1042.565154 samples/sec	rmse=0.018268	lr=0.204449
Epoch[101] Batch [199]	Speed: 1044.788789 samples/sec	rmse=0.018311	lr=0.204320
Epoch[101] Batch [249]	Speed: 1044.430280 samples/sec	rmse=0.018365	lr=0.204192
Epoch[101] Batch [299]	Speed: 1046.149903 samples/sec	rmse=0.018370	lr=0.204063
Epoch[101] Batch [349]	Speed: 1039.278406 samples/sec	rmse=0.018381	lr=0.203934
Epoch[101] Batch [399]	Speed: 1044.492849 samples/sec	rmse=0.018388	lr=0.203805
Epoch[101] Batch [449]	Speed: 1044.695263 samples/sec	rmse=0.018409	lr=0.203677
Epoch[101] Batch [499]	Speed: 1042.647100 samples/sec	rmse=0.018418	lr=0.203548
Epoch[101] Batch [549]	Speed: 1044.883297 samples/sec	rmse=0.018429	lr=0.203419
Epoch[101] Batch [599]	Speed: 1044.327372 samples/sec	rmse=0.018431	lr=0.203290
Epoch[101] Batch [649]	Speed: 1045.720041 samples/sec	rmse=0.018435	lr=0.203161
Epoch[101] Batch [699]	Speed: 1039.603732 samples/sec	rmse=0.018435	lr=0.203033
Epoch[101] Batch [749]	Speed: 1043.935188 samples/sec	rmse=0.018432	lr=0.202904
Epoch[101] Batch [799]	Speed: 1045.815323 samples/sec	rmse=0.018446	lr=0.202775
Epoch[101] Batch [849]	Speed: 1043.889543 samples/sec	rmse=0.018454	lr=0.202646
Epoch[101] Batch [899]	Speed: 1044.641009 samples/sec	rmse=0.018470	lr=0.202518
Epoch[101] Batch [949]	Speed: 1047.423691 samples/sec	rmse=0.018476	lr=0.202389
Epoch[101] Batch [999]	Speed: 1046.785511 samples/sec	rmse=0.018476	lr=0.202260
Epoch[101] Batch [1049]	Speed: 1044.780335 samples/sec	rmse=0.018480	lr=0.202131
Epoch[101] Batch [1099]	Speed: 1044.153977 samples/sec	rmse=0.018487	lr=0.202003
Epoch[101] Batch [1149]	Speed: 1045.510958 samples/sec	rmse=0.018484	lr=0.201874
Epoch[101] Batch [1199]	Speed: 1044.119430 samples/sec	rmse=0.018484	lr=0.201745
Epoch[101] Batch [1249]	Speed: 1048.403090 samples/sec	rmse=0.018484	lr=0.201616
[Epoch 101] training: rmse=0.018484
[Epoch 101] speed: 1044 samples/sec	time cost: 1240.309325
[Epoch 101] validation: err-top1=0.302555 err-top5=0.101483
Epoch[102] Batch [49]	Speed: 1049.446379 samples/sec	rmse=0.018342	lr=0.201485
Epoch[102] Batch [99]	Speed: 1037.585257 samples/sec	rmse=0.018365	lr=0.201356
Epoch[102] Batch [149]	Speed: 1042.782837 samples/sec	rmse=0.018323	lr=0.201227
Epoch[102] Batch [199]	Speed: 1040.790193 samples/sec	rmse=0.018334	lr=0.201099
Epoch[102] Batch [249]	Speed: 1039.647831 samples/sec	rmse=0.018373	lr=0.200970
Epoch[102] Batch [299]	Speed: 1035.598100 samples/sec	rmse=0.018379	lr=0.200841
Epoch[102] Batch [349]	Speed: 1045.488949 samples/sec	rmse=0.018388	lr=0.200712
Epoch[102] Batch [399]	Speed: 1031.821833 samples/sec	rmse=0.018405	lr=0.200583
Epoch[102] Batch [449]	Speed: 1040.524661 samples/sec	rmse=0.018399	lr=0.200455
Epoch[102] Batch [499]	Speed: 1033.947745 samples/sec	rmse=0.018392	lr=0.200326
Epoch[102] Batch [549]	Speed: 1040.940977 samples/sec	rmse=0.018410	lr=0.200197
Epoch[102] Batch [599]	Speed: 1044.457888 samples/sec	rmse=0.018422	lr=0.200068
Epoch[102] Batch [649]	Speed: 1041.182981 samples/sec	rmse=0.018420	lr=0.199939
Epoch[102] Batch [699]	Speed: 1042.898163 samples/sec	rmse=0.018434	lr=0.199811
Epoch[102] Batch [749]	Speed: 1036.612410 samples/sec	rmse=0.018455	lr=0.199682
Epoch[102] Batch [799]	Speed: 1038.788482 samples/sec	rmse=0.018461	lr=0.199553
Epoch[102] Batch [849]	Speed: 1043.098607 samples/sec	rmse=0.018464	lr=0.199424
Epoch[102] Batch [899]	Speed: 1046.690526 samples/sec	rmse=0.018465	lr=0.199296
Epoch[102] Batch [949]	Speed: 1043.378239 samples/sec	rmse=0.018470	lr=0.199167
Epoch[102] Batch [999]	Speed: 1044.062347 samples/sec	rmse=0.018471	lr=0.199038
Epoch[102] Batch [1049]	Speed: 1042.646776 samples/sec	rmse=0.018473	lr=0.198909
Epoch[102] Batch [1099]	Speed: 1042.685226 samples/sec	rmse=0.018480	lr=0.198780
Epoch[102] Batch [1149]	Speed: 1040.419568 samples/sec	rmse=0.018484	lr=0.198652
Epoch[102] Batch [1199]	Speed: 1039.140558 samples/sec	rmse=0.018488	lr=0.198523
Epoch[102] Batch [1249]	Speed: 1043.046458 samples/sec	rmse=0.018485	lr=0.198394
[Epoch 102] training: rmse=0.018485
[Epoch 102] speed: 1040 samples/sec	time cost: 1244.618246
[Epoch 102] validation: err-top1=0.302535 err-top5=0.102559
Epoch[103] Batch [49]	Speed: 1058.001163 samples/sec	rmse=0.018170	lr=0.198263
Epoch[103] Batch [99]	Speed: 1038.756299 samples/sec	rmse=0.018149	lr=0.198134
Epoch[103] Batch [149]	Speed: 1041.526134 samples/sec	rmse=0.018132	lr=0.198005
Epoch[103] Batch [199]	Speed: 1045.717398 samples/sec	rmse=0.018194	lr=0.197876
Epoch[103] Batch [249]	Speed: 1042.221528 samples/sec	rmse=0.018226	lr=0.197748
Epoch[103] Batch [299]	Speed: 1045.930934 samples/sec	rmse=0.018251	lr=0.197619
Epoch[103] Batch [349]	Speed: 1044.586531 samples/sec	rmse=0.018289	lr=0.197490
Epoch[103] Batch [399]	Speed: 1043.822363 samples/sec	rmse=0.018313	lr=0.197361
Epoch[103] Batch [449]	Speed: 1043.095192 samples/sec	rmse=0.018338	lr=0.197233
Epoch[103] Batch [499]	Speed: 1045.323050 samples/sec	rmse=0.018351	lr=0.197104
Epoch[103] Batch [549]	Speed: 1045.522930 samples/sec	rmse=0.018359	lr=0.196975
Epoch[103] Batch [599]	Speed: 1045.130748 samples/sec	rmse=0.018366	lr=0.196846
Epoch[103] Batch [649]	Speed: 1038.937471 samples/sec	rmse=0.018376	lr=0.196717
Epoch[103] Batch [699]	Speed: 1044.074489 samples/sec	rmse=0.018387	lr=0.196589
Epoch[103] Batch [749]	Speed: 1043.331106 samples/sec	rmse=0.018401	lr=0.196460
Epoch[103] Batch [799]	Speed: 1040.504434 samples/sec	rmse=0.018407	lr=0.196331
Epoch[103] Batch [849]	Speed: 1033.379324 samples/sec	rmse=0.018409	lr=0.196202
Epoch[103] Batch [899]	Speed: 1038.088523 samples/sec	rmse=0.018406	lr=0.196074
Epoch[103] Batch [949]	Speed: 1041.228900 samples/sec	rmse=0.018414	lr=0.195945
Epoch[103] Batch [999]	Speed: 1045.911505 samples/sec	rmse=0.018409	lr=0.195816
Epoch[103] Batch [1049]	Speed: 1036.489925 samples/sec	rmse=0.018418	lr=0.195687
Epoch[103] Batch [1099]	Speed: 1035.140608 samples/sec	rmse=0.018426	lr=0.195559
Epoch[103] Batch [1149]	Speed: 1033.057345 samples/sec	rmse=0.018431	lr=0.195430
Epoch[103] Batch [1199]	Speed: 1034.855903 samples/sec	rmse=0.018432	lr=0.195301
Epoch[103] Batch [1249]	Speed: 1042.653514 samples/sec	rmse=0.018438	lr=0.195172
[Epoch 103] training: rmse=0.018439
[Epoch 103] speed: 1041 samples/sec	time cost: 1243.706333
[Epoch 103] validation: err-top1=0.307737 err-top5=0.105907
Epoch[104] Batch [49]	Speed: 1051.551743 samples/sec	rmse=0.018144	lr=0.195041
Epoch[104] Batch [99]	Speed: 1040.474887 samples/sec	rmse=0.018219	lr=0.194912
Epoch[104] Batch [149]	Speed: 1040.193065 samples/sec	rmse=0.018215	lr=0.194784
Epoch[104] Batch [199]	Speed: 1036.642333 samples/sec	rmse=0.018217	lr=0.194655
Epoch[104] Batch [249]	Speed: 1043.372115 samples/sec	rmse=0.018236	lr=0.194526
Epoch[104] Batch [299]	Speed: 1039.325712 samples/sec	rmse=0.018244	lr=0.194397
Epoch[104] Batch [349]	Speed: 1039.182440 samples/sec	rmse=0.018260	lr=0.194269
Epoch[104] Batch [399]	Speed: 1040.463438 samples/sec	rmse=0.018268	lr=0.194140
Epoch[104] Batch [449]	Speed: 1033.412061 samples/sec	rmse=0.018277	lr=0.194011
Epoch[104] Batch [499]	Speed: 1037.992446 samples/sec	rmse=0.018286	lr=0.193882
Epoch[104] Batch [549]	Speed: 1043.232353 samples/sec	rmse=0.018291	lr=0.193754
Epoch[104] Batch [599]	Speed: 1042.219681 samples/sec	rmse=0.018304	lr=0.193625
Epoch[104] Batch [649]	Speed: 1040.155771 samples/sec	rmse=0.018312	lr=0.193496
Epoch[104] Batch [699]	Speed: 1041.523088 samples/sec	rmse=0.018322	lr=0.193368
Epoch[104] Batch [749]	Speed: 1044.901411 samples/sec	rmse=0.018338	lr=0.193239
Epoch[104] Batch [799]	Speed: 1042.850922 samples/sec	rmse=0.018353	lr=0.193110
Epoch[104] Batch [849]	Speed: 1040.721318 samples/sec	rmse=0.018362	lr=0.192981
Epoch[104] Batch [899]	Speed: 1041.675343 samples/sec	rmse=0.018371	lr=0.192853
Epoch[104] Batch [949]	Speed: 1041.000651 samples/sec	rmse=0.018377	lr=0.192724
Epoch[104] Batch [999]	Speed: 1041.264059 samples/sec	rmse=0.018388	lr=0.192595
Epoch[104] Batch [1049]	Speed: 1043.566965 samples/sec	rmse=0.018391	lr=0.192467
Epoch[104] Batch [1099]	Speed: 1040.533353 samples/sec	rmse=0.018397	lr=0.192338
Epoch[104] Batch [1149]	Speed: 1038.481287 samples/sec	rmse=0.018394	lr=0.192209
Epoch[104] Batch [1199]	Speed: 1035.116913 samples/sec	rmse=0.018398	lr=0.192081
Epoch[104] Batch [1249]	Speed: 1042.531537 samples/sec	rmse=0.018404	lr=0.191952
[Epoch 104] training: rmse=0.018405
[Epoch 104] speed: 1040 samples/sec	time cost: 1244.564325
[Epoch 104] validation: err-top1=0.298381 err-top5=0.100098
Epoch[105] Batch [49]	Speed: 1047.969667 samples/sec	rmse=0.018127	lr=0.191821
Epoch[105] Batch [99]	Speed: 1028.419254 samples/sec	rmse=0.018159	lr=0.191692
Epoch[105] Batch [149]	Speed: 1030.550811 samples/sec	rmse=0.018159	lr=0.191563
Epoch[105] Batch [199]	Speed: 1040.347456 samples/sec	rmse=0.018194	lr=0.191435
Epoch[105] Batch [249]	Speed: 1040.984372 samples/sec	rmse=0.018234	lr=0.191306
Epoch[105] Batch [299]	Speed: 1034.587368 samples/sec	rmse=0.018246	lr=0.191177
Epoch[105] Batch [349]	Speed: 1038.875621 samples/sec	rmse=0.018252	lr=0.191049
Epoch[105] Batch [399]	Speed: 1041.980958 samples/sec	rmse=0.018258	lr=0.190920
Epoch[105] Batch [449]	Speed: 1040.866175 samples/sec	rmse=0.018262	lr=0.190791
Epoch[105] Batch [499]	Speed: 1039.091545 samples/sec	rmse=0.018278	lr=0.190663
Epoch[105] Batch [549]	Speed: 1037.056520 samples/sec	rmse=0.018289	lr=0.190534
Epoch[105] Batch [599]	Speed: 1037.237731 samples/sec	rmse=0.018293	lr=0.190405
Epoch[105] Batch [649]	Speed: 1041.621786 samples/sec	rmse=0.018291	lr=0.190277
Epoch[105] Batch [699]	Speed: 1041.477224 samples/sec	rmse=0.018302	lr=0.190148
Epoch[105] Batch [749]	Speed: 1042.054166 samples/sec	rmse=0.018316	lr=0.190020
Epoch[105] Batch [799]	Speed: 1038.500286 samples/sec	rmse=0.018322	lr=0.189891
Epoch[105] Batch [849]	Speed: 1039.321260 samples/sec	rmse=0.018329	lr=0.189762
Epoch[105] Batch [899]	Speed: 1042.705542 samples/sec	rmse=0.018339	lr=0.189634
Epoch[105] Batch [949]	Speed: 1040.995787 samples/sec	rmse=0.018341	lr=0.189505
Epoch[105] Batch [999]	Speed: 1039.054255 samples/sec	rmse=0.018338	lr=0.189377
Epoch[105] Batch [1049]	Speed: 1038.662449 samples/sec	rmse=0.018341	lr=0.189248
Epoch[105] Batch [1099]	Speed: 1037.101420 samples/sec	rmse=0.018350	lr=0.189119
Epoch[105] Batch [1149]	Speed: 1041.892266 samples/sec	rmse=0.018350	lr=0.188991
Epoch[105] Batch [1199]	Speed: 1039.737762 samples/sec	rmse=0.018355	lr=0.188862
Epoch[105] Batch [1249]	Speed: 1039.574025 samples/sec	rmse=0.018356	lr=0.188734
[Epoch 105] training: rmse=0.018355
[Epoch 105] speed: 1038 samples/sec	time cost: 1246.906511
[Epoch 105] validation: err-top1=0.322086 err-top5=0.115852
Epoch[106] Batch [49]	Speed: 1052.022045 samples/sec	rmse=0.018150	lr=0.188602
Epoch[106] Batch [99]	Speed: 1044.136269 samples/sec	rmse=0.018066	lr=0.188474
Epoch[106] Batch [149]	Speed: 1044.183597 samples/sec	rmse=0.018057	lr=0.188345
Epoch[106] Batch [199]	Speed: 1041.668820 samples/sec	rmse=0.018082	lr=0.188217
Epoch[106] Batch [249]	Speed: 1042.124127 samples/sec	rmse=0.018124	lr=0.188088
Epoch[106] Batch [299]	Speed: 1040.583652 samples/sec	rmse=0.018130	lr=0.187960
Epoch[106] Batch [349]	Speed: 1043.714431 samples/sec	rmse=0.018168	lr=0.187831
Epoch[106] Batch [399]	Speed: 1042.315364 samples/sec	rmse=0.018195	lr=0.187703
Epoch[106] Batch [449]	Speed: 1037.833095 samples/sec	rmse=0.018214	lr=0.187574
Epoch[106] Batch [499]	Speed: 1042.720782 samples/sec	rmse=0.018231	lr=0.187445
Epoch[106] Batch [549]	Speed: 1036.176454 samples/sec	rmse=0.018247	lr=0.187317
Epoch[106] Batch [599]	Speed: 1035.323610 samples/sec	rmse=0.018272	lr=0.187188
Epoch[106] Batch [649]	Speed: 1031.803242 samples/sec	rmse=0.018275	lr=0.187060
Epoch[106] Batch [699]	Speed: 1029.328063 samples/sec	rmse=0.018283	lr=0.186931
Epoch[106] Batch [749]	Speed: 1040.058278 samples/sec	rmse=0.018282	lr=0.186803
Epoch[106] Batch [799]	Speed: 1040.303751 samples/sec	rmse=0.018277	lr=0.186674
Epoch[106] Batch [849]	Speed: 1038.247993 samples/sec	rmse=0.018281	lr=0.186546
Epoch[106] Batch [899]	Speed: 1038.124615 samples/sec	rmse=0.018288	lr=0.186417
Epoch[106] Batch [949]	Speed: 1039.506418 samples/sec	rmse=0.018296	lr=0.186289
Epoch[106] Batch [999]	Speed: 1037.294350 samples/sec	rmse=0.018298	lr=0.186160
Epoch[106] Batch [1049]	Speed: 1037.603696 samples/sec	rmse=0.018297	lr=0.186032
Epoch[106] Batch [1099]	Speed: 1043.806376 samples/sec	rmse=0.018301	lr=0.185904
Epoch[106] Batch [1149]	Speed: 1040.853336 samples/sec	rmse=0.018303	lr=0.185775
Epoch[106] Batch [1199]	Speed: 1041.329218 samples/sec	rmse=0.018308	lr=0.185647
Epoch[106] Batch [1249]	Speed: 1040.270723 samples/sec	rmse=0.018310	lr=0.185518
[Epoch 106] training: rmse=0.018310
[Epoch 106] speed: 1039 samples/sec	time cost: 1245.915402
[Epoch 106] validation: err-top1=0.294723 err-top5=0.096600
Epoch[107] Batch [49]	Speed: 1052.420335 samples/sec	rmse=0.018191	lr=0.185387
Epoch[107] Batch [99]	Speed: 1030.193964 samples/sec	rmse=0.018121	lr=0.185259
Epoch[107] Batch [149]	Speed: 1039.554530 samples/sec	rmse=0.018198	lr=0.185130
Epoch[107] Batch [199]	Speed: 1037.609857 samples/sec	rmse=0.018173	lr=0.185002
Epoch[107] Batch [249]	Speed: 1041.114125 samples/sec	rmse=0.018182	lr=0.184873
Epoch[107] Batch [299]	Speed: 1045.665033 samples/sec	rmse=0.018185	lr=0.184745
Epoch[107] Batch [349]	Speed: 1040.093051 samples/sec	rmse=0.018194	lr=0.184617
Epoch[107] Batch [399]	Speed: 1039.873357 samples/sec	rmse=0.018224	lr=0.184488
Epoch[107] Batch [449]	Speed: 1037.719072 samples/sec	rmse=0.018240	lr=0.184360
Epoch[107] Batch [499]	Speed: 1042.918680 samples/sec	rmse=0.018253	lr=0.184231
Epoch[107] Batch [549]	Speed: 1036.113207 samples/sec	rmse=0.018255	lr=0.184103
Epoch[107] Batch [599]	Speed: 1043.470190 samples/sec	rmse=0.018264	lr=0.183975
Epoch[107] Batch [649]	Speed: 1043.183019 samples/sec	rmse=0.018256	lr=0.183846
Epoch[107] Batch [699]	Speed: 1043.252767 samples/sec	rmse=0.018257	lr=0.183718
Epoch[107] Batch [749]	Speed: 1041.302406 samples/sec	rmse=0.018259	lr=0.183590
Epoch[107] Batch [799]	Speed: 1041.540208 samples/sec	rmse=0.018260	lr=0.183461
Epoch[107] Batch [849]	Speed: 1042.438885 samples/sec	rmse=0.018262	lr=0.183333
Epoch[107] Batch [899]	Speed: 1045.318165 samples/sec	rmse=0.018258	lr=0.183205
Epoch[107] Batch [949]	Speed: 1043.647167 samples/sec	rmse=0.018264	lr=0.183076
Epoch[107] Batch [999]	Speed: 1042.883055 samples/sec	rmse=0.018268	lr=0.182948
Epoch[107] Batch [1049]	Speed: 1046.749677 samples/sec	rmse=0.018275	lr=0.182820
Epoch[107] Batch [1099]	Speed: 1047.088046 samples/sec	rmse=0.018283	lr=0.182691
Epoch[107] Batch [1149]	Speed: 1044.368739 samples/sec	rmse=0.018284	lr=0.182563
Epoch[107] Batch [1199]	Speed: 1041.759970 samples/sec	rmse=0.018283	lr=0.182435
Epoch[107] Batch [1249]	Speed: 1037.272971 samples/sec	rmse=0.018287	lr=0.182307
[Epoch 107] training: rmse=0.018287
[Epoch 107] speed: 1041 samples/sec	time cost: 1245.239558
[Epoch 107] validation: err-top1=0.289939 err-top5=0.094288
Epoch[108] Batch [49]	Speed: 1040.794889 samples/sec	rmse=0.018055	lr=0.182176
Epoch[108] Batch [99]	Speed: 1037.565184 samples/sec	rmse=0.018054	lr=0.182047
Epoch[108] Batch [149]	Speed: 1038.475789 samples/sec	rmse=0.018075	lr=0.181919
Epoch[108] Batch [199]	Speed: 1029.557583 samples/sec	rmse=0.018064	lr=0.181791
Epoch[108] Batch [249]	Speed: 1036.877295 samples/sec	rmse=0.018074	lr=0.181663
Epoch[108] Batch [299]	Speed: 1042.540551 samples/sec	rmse=0.018109	lr=0.181534
Epoch[108] Batch [349]	Speed: 1035.857036 samples/sec	rmse=0.018128	lr=0.181406
Epoch[108] Batch [399]	Speed: 1036.027236 samples/sec	rmse=0.018147	lr=0.181278
Epoch[108] Batch [449]	Speed: 1034.524804 samples/sec	rmse=0.018143	lr=0.181150
Epoch[108] Batch [499]	Speed: 1036.942317 samples/sec	rmse=0.018141	lr=0.181022
Epoch[108] Batch [549]	Speed: 1038.970339 samples/sec	rmse=0.018159	lr=0.180893
Epoch[108] Batch [599]	Speed: 1042.453054 samples/sec	rmse=0.018174	lr=0.180765
Epoch[108] Batch [649]	Speed: 1041.580455 samples/sec	rmse=0.018180	lr=0.180637
Epoch[108] Batch [699]	Speed: 1040.751011 samples/sec	rmse=0.018193	lr=0.180509
Epoch[108] Batch [749]	Speed: 1038.439291 samples/sec	rmse=0.018195	lr=0.180381
Epoch[108] Batch [799]	Speed: 1030.272455 samples/sec	rmse=0.018214	lr=0.180252
Epoch[108] Batch [849]	Speed: 1043.917508 samples/sec	rmse=0.018221	lr=0.180124
Epoch[108] Batch [899]	Speed: 1044.135422 samples/sec	rmse=0.018227	lr=0.179996
Epoch[108] Batch [949]	Speed: 1045.696088 samples/sec	rmse=0.018229	lr=0.179868
Epoch[108] Batch [999]	Speed: 1037.581853 samples/sec	rmse=0.018236	lr=0.179740
Epoch[108] Batch [1049]	Speed: 1041.509965 samples/sec	rmse=0.018243	lr=0.179612
Epoch[108] Batch [1099]	Speed: 1032.194032 samples/sec	rmse=0.018249	lr=0.179484
Epoch[108] Batch [1149]	Speed: 1035.862982 samples/sec	rmse=0.018251	lr=0.179356
Epoch[108] Batch [1199]	Speed: 1040.034937 samples/sec	rmse=0.018252	lr=0.179228
Epoch[108] Batch [1249]	Speed: 1045.629571 samples/sec	rmse=0.018258	lr=0.179099
[Epoch 108] training: rmse=0.018258
[Epoch 108] speed: 1037 samples/sec	time cost: 1247.304065
[Epoch 108] validation: err-top1=0.298988 err-top5=0.098792
Epoch[109] Batch [49]	Speed: 1057.946868 samples/sec	rmse=0.017952	lr=0.178969
Epoch[109] Batch [99]	Speed: 1040.834403 samples/sec	rmse=0.018051	lr=0.178841
Epoch[109] Batch [149]	Speed: 1042.354128 samples/sec	rmse=0.018090	lr=0.178713
Epoch[109] Batch [199]	Speed: 1042.190279 samples/sec	rmse=0.018114	lr=0.178585
Epoch[109] Batch [249]	Speed: 1042.510447 samples/sec	rmse=0.018092	lr=0.178457
Epoch[109] Batch [299]	Speed: 1042.145671 samples/sec	rmse=0.018116	lr=0.178329
Epoch[109] Batch [349]	Speed: 1042.453920 samples/sec	rmse=0.018148	lr=0.178201
Epoch[109] Batch [399]	Speed: 1044.916720 samples/sec	rmse=0.018156	lr=0.178073
Epoch[109] Batch [449]	Speed: 1040.393881 samples/sec	rmse=0.018166	lr=0.177945
Epoch[109] Batch [499]	Speed: 1036.886542 samples/sec	rmse=0.018181	lr=0.177817
Epoch[109] Batch [549]	Speed: 1041.624595 samples/sec	rmse=0.018185	lr=0.177689
Epoch[109] Batch [599]	Speed: 1036.902558 samples/sec	rmse=0.018184	lr=0.177561
Epoch[109] Batch [649]	Speed: 1039.217089 samples/sec	rmse=0.018184	lr=0.177433
Epoch[109] Batch [699]	Speed: 1038.387959 samples/sec	rmse=0.018191	lr=0.177305
Epoch[109] Batch [749]	Speed: 1037.091403 samples/sec	rmse=0.018193	lr=0.177177
Epoch[109] Batch [799]	Speed: 1042.316634 samples/sec	rmse=0.018196	lr=0.177049
Epoch[109] Batch [849]	Speed: 1039.136440 samples/sec	rmse=0.018203	lr=0.176921
Epoch[109] Batch [899]	Speed: 1035.748637 samples/sec	rmse=0.018206	lr=0.176793
Epoch[109] Batch [949]	Speed: 1034.003657 samples/sec	rmse=0.018209	lr=0.176665
Epoch[109] Batch [999]	Speed: 1034.680489 samples/sec	rmse=0.018211	lr=0.176537
Epoch[109] Batch [1049]	Speed: 1043.650814 samples/sec	rmse=0.018220	lr=0.176409
Epoch[109] Batch [1099]	Speed: 1036.618204 samples/sec	rmse=0.018228	lr=0.176281
Epoch[109] Batch [1149]	Speed: 1029.901631 samples/sec	rmse=0.018233	lr=0.176153
Epoch[109] Batch [1199]	Speed: 1041.684459 samples/sec	rmse=0.018239	lr=0.176026
Epoch[109] Batch [1249]	Speed: 1045.235788 samples/sec	rmse=0.018240	lr=0.175898
[Epoch 109] training: rmse=0.018240
[Epoch 109] speed: 1039 samples/sec	time cost: 1245.605447
[Epoch 109] validation: err-top1=0.298370 err-top5=0.097756
Epoch[110] Batch [49]	Speed: 1054.904883 samples/sec	rmse=0.017851	lr=0.175767
Epoch[110] Batch [99]	Speed: 1039.679496 samples/sec	rmse=0.017948	lr=0.175640
Epoch[110] Batch [149]	Speed: 1042.974696 samples/sec	rmse=0.018007	lr=0.175512
Epoch[110] Batch [199]	Speed: 1043.603474 samples/sec	rmse=0.018035	lr=0.175384
Epoch[110] Batch [249]	Speed: 1041.576267 samples/sec	rmse=0.018063	lr=0.175256
Epoch[110] Batch [299]	Speed: 1041.635145 samples/sec	rmse=0.018074	lr=0.175128
Epoch[110] Batch [349]	Speed: 1045.297929 samples/sec	rmse=0.018096	lr=0.175001
Epoch[110] Batch [399]	Speed: 1038.704996 samples/sec	rmse=0.018090	lr=0.174873
Epoch[110] Batch [449]	Speed: 1035.144460 samples/sec	rmse=0.018085	lr=0.174745
Epoch[110] Batch [499]	Speed: 1041.852506 samples/sec	rmse=0.018090	lr=0.174617
Epoch[110] Batch [549]	Speed: 1041.241637 samples/sec	rmse=0.018090	lr=0.174490
Epoch[110] Batch [599]	Speed: 1045.109355 samples/sec	rmse=0.018111	lr=0.174362
Epoch[110] Batch [649]	Speed: 1040.579638 samples/sec	rmse=0.018127	lr=0.174234
Epoch[110] Batch [699]	Speed: 1044.322786 samples/sec	rmse=0.018136	lr=0.174106
Epoch[110] Batch [749]	Speed: 1044.396339 samples/sec	rmse=0.018156	lr=0.173979
Epoch[110] Batch [799]	Speed: 1042.827358 samples/sec	rmse=0.018164	lr=0.173851
Epoch[110] Batch [849]	Speed: 1044.570993 samples/sec	rmse=0.018173	lr=0.173723
Epoch[110] Batch [899]	Speed: 1046.692725 samples/sec	rmse=0.018181	lr=0.173596
Epoch[110] Batch [949]	Speed: 1045.787042 samples/sec	rmse=0.018181	lr=0.173468
Epoch[110] Batch [999]	Speed: 1044.970729 samples/sec	rmse=0.018180	lr=0.173340
Epoch[110] Batch [1049]	Speed: 1043.873736 samples/sec	rmse=0.018187	lr=0.173213
Epoch[110] Batch [1099]	Speed: 1043.222673 samples/sec	rmse=0.018191	lr=0.173085
Epoch[110] Batch [1149]	Speed: 1043.477203 samples/sec	rmse=0.018197	lr=0.172958
Epoch[110] Batch [1199]	Speed: 1041.150053 samples/sec	rmse=0.018200	lr=0.172830
Epoch[110] Batch [1249]	Speed: 1036.332696 samples/sec	rmse=0.018204	lr=0.172702
[Epoch 110] training: rmse=0.018204
[Epoch 110] speed: 1042 samples/sec	time cost: 1242.225782
[Epoch 110] validation: err-top1=0.291300 err-top5=0.094523
Epoch[111] Batch [49]	Speed: 1048.704190 samples/sec	rmse=0.018004	lr=0.172572
Epoch[111] Batch [99]	Speed: 1040.803858 samples/sec	rmse=0.018016	lr=0.172445
Epoch[111] Batch [149]	Speed: 1045.806589 samples/sec	rmse=0.017973	lr=0.172317
Epoch[111] Batch [199]	Speed: 1035.191844 samples/sec	rmse=0.018025	lr=0.172190
Epoch[111] Batch [249]	Speed: 1037.062855 samples/sec	rmse=0.018043	lr=0.172062
Epoch[111] Batch [299]	Speed: 1036.638350 samples/sec	rmse=0.018055	lr=0.171935
Epoch[111] Batch [349]	Speed: 1036.172539 samples/sec	rmse=0.018074	lr=0.171807
Epoch[111] Batch [399]	Speed: 1040.937819 samples/sec	rmse=0.018083	lr=0.171680
Epoch[111] Batch [449]	Speed: 1033.596671 samples/sec	rmse=0.018083	lr=0.171552
Epoch[111] Batch [499]	Speed: 1040.560226 samples/sec	rmse=0.018095	lr=0.171425
Epoch[111] Batch [549]	Speed: 1044.779964 samples/sec	rmse=0.018101	lr=0.171297
Epoch[111] Batch [599]	Speed: 1042.084359 samples/sec	rmse=0.018108	lr=0.171170
Epoch[111] Batch [649]	Speed: 1043.846245 samples/sec	rmse=0.018113	lr=0.171042
Epoch[111] Batch [699]	Speed: 1038.314000 samples/sec	rmse=0.018120	lr=0.170915
Epoch[111] Batch [749]	Speed: 1041.176761 samples/sec	rmse=0.018126	lr=0.170787
Epoch[111] Batch [799]	Speed: 1039.698432 samples/sec	rmse=0.018140	lr=0.170660
Epoch[111] Batch [849]	Speed: 1045.128551 samples/sec	rmse=0.018154	lr=0.170533
Epoch[111] Batch [899]	Speed: 1041.245399 samples/sec	rmse=0.018153	lr=0.170405
Epoch[111] Batch [949]	Speed: 1041.679982 samples/sec	rmse=0.018158	lr=0.170278
Epoch[111] Batch [999]	Speed: 1043.388150 samples/sec	rmse=0.018166	lr=0.170151
Epoch[111] Batch [1049]	Speed: 1033.536420 samples/sec	rmse=0.018168	lr=0.170023
Epoch[111] Batch [1099]	Speed: 1038.034832 samples/sec	rmse=0.018171	lr=0.169896
Epoch[111] Batch [1149]	Speed: 1044.669035 samples/sec	rmse=0.018173	lr=0.169769
Epoch[111] Batch [1199]	Speed: 1044.182673 samples/sec	rmse=0.018170	lr=0.169641
Epoch[111] Batch [1249]	Speed: 1049.656182 samples/sec	rmse=0.018171	lr=0.169514
[Epoch 111] training: rmse=0.018171
[Epoch 111] speed: 1040 samples/sec	time cost: 1244.847813
[Epoch 111] validation: err-top1=0.284937 err-top5=0.091139
Epoch[112] Batch [49]	Speed: 1055.283097 samples/sec	rmse=0.018042	lr=0.169384
Epoch[112] Batch [99]	Speed: 1042.922697 samples/sec	rmse=0.018024	lr=0.169257
Epoch[112] Batch [149]	Speed: 1039.313514 samples/sec	rmse=0.018029	lr=0.169130
Epoch[112] Batch [199]	Speed: 1043.476001 samples/sec	rmse=0.018028	lr=0.169003
Epoch[112] Batch [249]	Speed: 1045.666199 samples/sec	rmse=0.018010	lr=0.168875
Epoch[112] Batch [299]	Speed: 1043.608819 samples/sec	rmse=0.018009	lr=0.168748
Epoch[112] Batch [349]	Speed: 1044.604493 samples/sec	rmse=0.018022	lr=0.168621
Epoch[112] Batch [399]	Speed: 1041.630102 samples/sec	rmse=0.018027	lr=0.168494
Epoch[112] Batch [449]	Speed: 1037.965951 samples/sec	rmse=0.018039	lr=0.168367
Epoch[112] Batch [499]	Speed: 1042.777743 samples/sec	rmse=0.018057	lr=0.168239
Epoch[112] Batch [549]	Speed: 1042.006520 samples/sec	rmse=0.018062	lr=0.168112
Epoch[112] Batch [599]	Speed: 1042.059910 samples/sec	rmse=0.018059	lr=0.167985
Epoch[112] Batch [649]	Speed: 1040.872981 samples/sec	rmse=0.018067	lr=0.167858
Epoch[112] Batch [699]	Speed: 1044.508354 samples/sec	rmse=0.018067	lr=0.167731
Epoch[112] Batch [749]	Speed: 1039.228751 samples/sec	rmse=0.018082	lr=0.167604
Epoch[112] Batch [799]	Speed: 1040.944762 samples/sec	rmse=0.018088	lr=0.167477
Epoch[112] Batch [849]	Speed: 1039.293093 samples/sec	rmse=0.018103	lr=0.167350
Epoch[112] Batch [899]	Speed: 1036.356597 samples/sec	rmse=0.018109	lr=0.167223
Epoch[112] Batch [949]	Speed: 1040.301327 samples/sec	rmse=0.018109	lr=0.167096
Epoch[112] Batch [999]	Speed: 1042.504941 samples/sec	rmse=0.018120	lr=0.166969
Epoch[112] Batch [1049]	Speed: 1038.710316 samples/sec	rmse=0.018124	lr=0.166842
Epoch[112] Batch [1099]	Speed: 1046.599144 samples/sec	rmse=0.018126	lr=0.166715
Epoch[112] Batch [1149]	Speed: 1036.419863 samples/sec	rmse=0.018134	lr=0.166588
Epoch[112] Batch [1199]	Speed: 1040.490046 samples/sec	rmse=0.018131	lr=0.166461
Epoch[112] Batch [1249]	Speed: 1045.615387 samples/sec	rmse=0.018137	lr=0.166334
[Epoch 112] training: rmse=0.018137
[Epoch 112] speed: 1041 samples/sec	time cost: 1243.544263
[Epoch 112] validation: err-top1=0.295819 err-top5=0.098493
Epoch[113] Batch [49]	Speed: 1054.968185 samples/sec	rmse=0.017767	lr=0.166204
Epoch[113] Batch [99]	Speed: 1040.760095 samples/sec	rmse=0.017902	lr=0.166077
Epoch[113] Batch [149]	Speed: 1041.926474 samples/sec	rmse=0.017929	lr=0.165950
Epoch[113] Batch [199]	Speed: 1041.201285 samples/sec	rmse=0.017958	lr=0.165823
Epoch[113] Batch [249]	Speed: 1041.909195 samples/sec	rmse=0.017950	lr=0.165697
Epoch[113] Batch [299]	Speed: 1039.394603 samples/sec	rmse=0.017951	lr=0.165570
Epoch[113] Batch [349]	Speed: 1042.165122 samples/sec	rmse=0.017966	lr=0.165443
Epoch[113] Batch [399]	Speed: 1043.760163 samples/sec	rmse=0.017975	lr=0.165316
Epoch[113] Batch [449]	Speed: 1031.234161 samples/sec	rmse=0.017986	lr=0.165189
Epoch[113] Batch [499]	Speed: 1039.593093 samples/sec	rmse=0.017995	lr=0.165062
Epoch[113] Batch [549]	Speed: 1040.039193 samples/sec	rmse=0.018003	lr=0.164936
Epoch[113] Batch [599]	Speed: 1042.542013 samples/sec	rmse=0.018016	lr=0.164809
Epoch[113] Batch [649]	Speed: 1042.173948 samples/sec	rmse=0.018020	lr=0.164682
Epoch[113] Batch [699]	Speed: 1042.598287 samples/sec	rmse=0.018027	lr=0.164555
Epoch[113] Batch [749]	Speed: 1040.436973 samples/sec	rmse=0.018042	lr=0.164429
Epoch[113] Batch [799]	Speed: 1041.889845 samples/sec	rmse=0.018050	lr=0.164302
Epoch[113] Batch [849]	Speed: 1046.909553 samples/sec	rmse=0.018048	lr=0.164175
Epoch[113] Batch [899]	Speed: 1042.266274 samples/sec	rmse=0.018048	lr=0.164048
Epoch[113] Batch [949]	Speed: 1043.545149 samples/sec	rmse=0.018048	lr=0.163922
Epoch[113] Batch [999]	Speed: 1039.593888 samples/sec	rmse=0.018053	lr=0.163795
Epoch[113] Batch [1049]	Speed: 1042.897251 samples/sec	rmse=0.018064	lr=0.163668
Epoch[113] Batch [1099]	Speed: 1040.788216 samples/sec	rmse=0.018068	lr=0.163542
Epoch[113] Batch [1149]	Speed: 1044.867872 samples/sec	rmse=0.018075	lr=0.163415
Epoch[113] Batch [1199]	Speed: 1038.335362 samples/sec	rmse=0.018078	lr=0.163289
Epoch[113] Batch [1249]	Speed: 1040.795369 samples/sec	rmse=0.018081	lr=0.163162
[Epoch 113] training: rmse=0.018082
[Epoch 113] speed: 1041 samples/sec	time cost: 1244.196803
[Epoch 113] validation: err-top1=0.282904 err-top5=0.089425
Epoch[114] Batch [49]	Speed: 1050.667449 samples/sec	rmse=0.017678	lr=0.163033
Epoch[114] Batch [99]	Speed: 1033.647456 samples/sec	rmse=0.017705	lr=0.162906
Epoch[114] Batch [149]	Speed: 1037.261708 samples/sec	rmse=0.017803	lr=0.162780
Epoch[114] Batch [199]	Speed: 1043.143768 samples/sec	rmse=0.017812	lr=0.162653
Epoch[114] Batch [249]	Speed: 1036.346514 samples/sec	rmse=0.017858	lr=0.162527
Epoch[114] Batch [299]	Speed: 1031.271486 samples/sec	rmse=0.017885	lr=0.162400
Epoch[114] Batch [349]	Speed: 1042.295488 samples/sec	rmse=0.017909	lr=0.162274
Epoch[114] Batch [399]	Speed: 1042.228538 samples/sec	rmse=0.017931	lr=0.162147
Epoch[114] Batch [449]	Speed: 1036.474482 samples/sec	rmse=0.017945	lr=0.162021
Epoch[114] Batch [499]	Speed: 1040.898605 samples/sec	rmse=0.017965	lr=0.161894
Epoch[114] Batch [549]	Speed: 1042.242383 samples/sec	rmse=0.017982	lr=0.161768
Epoch[114] Batch [599]	Speed: 1032.989073 samples/sec	rmse=0.018001	lr=0.161642
Epoch[114] Batch [649]	Speed: 1040.779575 samples/sec	rmse=0.018008	lr=0.161515
Epoch[114] Batch [699]	Speed: 1033.259572 samples/sec	rmse=0.018021	lr=0.161389
Epoch[114] Batch [749]	Speed: 1033.670721 samples/sec	rmse=0.018025	lr=0.161263
Epoch[114] Batch [799]	Speed: 1043.141493 samples/sec	rmse=0.018040	lr=0.161136
Epoch[114] Batch [849]	Speed: 1040.998603 samples/sec	rmse=0.018048	lr=0.161010
Epoch[114] Batch [899]	Speed: 1040.772977 samples/sec	rmse=0.018052	lr=0.160884
Epoch[114] Batch [949]	Speed: 1038.413235 samples/sec	rmse=0.018053	lr=0.160757
Epoch[114] Batch [999]	Speed: 1034.157247 samples/sec	rmse=0.018055	lr=0.160631
Epoch[114] Batch [1049]	Speed: 1022.940916 samples/sec	rmse=0.018055	lr=0.160505
Epoch[114] Batch [1099]	Speed: 1040.434932 samples/sec	rmse=0.018058	lr=0.160379
Epoch[114] Batch [1149]	Speed: 1040.218449 samples/sec	rmse=0.018061	lr=0.160252
Epoch[114] Batch [1199]	Speed: 1045.925203 samples/sec	rmse=0.018066	lr=0.160126
Epoch[114] Batch [1249]	Speed: 1041.946519 samples/sec	rmse=0.018071	lr=0.160000
[Epoch 114] training: rmse=0.018071
[Epoch 114] speed: 1037 samples/sec	time cost: 1248.284599
[Epoch 114] validation: err-top1=0.295041 err-top5=0.097437
Epoch[115] Batch [49]	Speed: 1053.052940 samples/sec	rmse=0.017755	lr=0.159871
Epoch[115] Batch [99]	Speed: 1042.452376 samples/sec	rmse=0.017864	lr=0.159745
Epoch[115] Batch [149]	Speed: 1041.436733 samples/sec	rmse=0.017892	lr=0.159619
Epoch[115] Batch [199]	Speed: 1039.535030 samples/sec	rmse=0.017879	lr=0.159493
Epoch[115] Batch [249]	Speed: 1042.590269 samples/sec	rmse=0.017879	lr=0.159367
Epoch[115] Batch [299]	Speed: 1043.561072 samples/sec	rmse=0.017886	lr=0.159241
Epoch[115] Batch [349]	Speed: 1042.060299 samples/sec	rmse=0.017902	lr=0.159115
Epoch[115] Batch [399]	Speed: 1032.936499 samples/sec	rmse=0.017915	lr=0.158988
Epoch[115] Batch [449]	Speed: 1038.223879 samples/sec	rmse=0.017916	lr=0.158862
Epoch[115] Batch [499]	Speed: 1035.837970 samples/sec	rmse=0.017910	lr=0.158736
Epoch[115] Batch [549]	Speed: 1040.234664 samples/sec	rmse=0.017921	lr=0.158610
Epoch[115] Batch [599]	Speed: 1034.353518 samples/sec	rmse=0.017934	lr=0.158484
Epoch[115] Batch [649]	Speed: 1038.626003 samples/sec	rmse=0.017937	lr=0.158358
Epoch[115] Batch [699]	Speed: 1029.434026 samples/sec	rmse=0.017947	lr=0.158233
Epoch[115] Batch [749]	Speed: 1042.377306 samples/sec	rmse=0.017954	lr=0.158107
Epoch[115] Batch [799]	Speed: 1035.472770 samples/sec	rmse=0.017969	lr=0.157981
Epoch[115] Batch [849]	Speed: 1038.421199 samples/sec	rmse=0.017985	lr=0.157855
Epoch[115] Batch [899]	Speed: 1036.263610 samples/sec	rmse=0.017997	lr=0.157729
Epoch[115] Batch [949]	Speed: 1027.374030 samples/sec	rmse=0.018005	lr=0.157603
Epoch[115] Batch [999]	Speed: 1041.574478 samples/sec	rmse=0.018008	lr=0.157477
Epoch[115] Batch [1049]	Speed: 1041.167377 samples/sec	rmse=0.018015	lr=0.157351
Epoch[115] Batch [1099]	Speed: 1038.674887 samples/sec	rmse=0.018023	lr=0.157226
Epoch[115] Batch [1149]	Speed: 1044.043328 samples/sec	rmse=0.018026	lr=0.157100
Epoch[115] Batch [1199]	Speed: 1039.164860 samples/sec	rmse=0.018026	lr=0.156974
Epoch[115] Batch [1249]	Speed: 1043.211215 samples/sec	rmse=0.018031	lr=0.156848
[Epoch 115] training: rmse=0.018031
[Epoch 115] speed: 1038 samples/sec	time cost: 1246.882431
[Epoch 115] validation: err-top1=0.279018 err-top5=0.086894
Epoch[116] Batch [49]	Speed: 1046.179116 samples/sec	rmse=0.017839	lr=0.156720
Epoch[116] Batch [99]	Speed: 1043.930951 samples/sec	rmse=0.017880	lr=0.156594
Epoch[116] Batch [149]	Speed: 1043.409701 samples/sec	rmse=0.017877	lr=0.156469
Epoch[116] Batch [199]	Speed: 1039.086854 samples/sec	rmse=0.017864	lr=0.156343
Epoch[116] Batch [249]	Speed: 1040.163948 samples/sec	rmse=0.017860	lr=0.156217
Epoch[116] Batch [299]	Speed: 1040.078800 samples/sec	rmse=0.017874	lr=0.156092
Epoch[116] Batch [349]	Speed: 1042.542843 samples/sec	rmse=0.017888	lr=0.155966
Epoch[116] Batch [399]	Speed: 1039.764614 samples/sec	rmse=0.017892	lr=0.155840
Epoch[116] Batch [449]	Speed: 1045.598006 samples/sec	rmse=0.017904	lr=0.155715
Epoch[116] Batch [499]	Speed: 1040.767500 samples/sec	rmse=0.017911	lr=0.155589
Epoch[116] Batch [549]	Speed: 1043.796690 samples/sec	rmse=0.017914	lr=0.155464
Epoch[116] Batch [599]	Speed: 1041.672787 samples/sec	rmse=0.017914	lr=0.155338
Epoch[116] Batch [649]	Speed: 1042.406253 samples/sec	rmse=0.017918	lr=0.155212
Epoch[116] Batch [699]	Speed: 1045.099127 samples/sec	rmse=0.017926	lr=0.155087
Epoch[116] Batch [749]	Speed: 1043.270577 samples/sec	rmse=0.017929	lr=0.154961
Epoch[116] Batch [799]	Speed: 1044.816340 samples/sec	rmse=0.017936	lr=0.154836
Epoch[116] Batch [849]	Speed: 1043.478414 samples/sec	rmse=0.017939	lr=0.154711
Epoch[116] Batch [899]	Speed: 1045.763977 samples/sec	rmse=0.017939	lr=0.154585
Epoch[116] Batch [949]	Speed: 1042.522538 samples/sec	rmse=0.017945	lr=0.154460
Epoch[116] Batch [999]	Speed: 1043.724886 samples/sec	rmse=0.017948	lr=0.154334
Epoch[116] Batch [1049]	Speed: 1041.006293 samples/sec	rmse=0.017951	lr=0.154209
Epoch[116] Batch [1099]	Speed: 1044.178885 samples/sec	rmse=0.017964	lr=0.154084
Epoch[116] Batch [1149]	Speed: 1041.602679 samples/sec	rmse=0.017965	lr=0.153958
Epoch[116] Batch [1199]	Speed: 1042.086038 samples/sec	rmse=0.017970	lr=0.153833
Epoch[116] Batch [1249]	Speed: 1049.224239 samples/sec	rmse=0.017976	lr=0.153708
[Epoch 116] training: rmse=0.017976
[Epoch 116] speed: 1042 samples/sec	time cost: 1242.105520
[Epoch 116] validation: err-top1=0.285299 err-top5=0.091146
Epoch[117] Batch [49]	Speed: 1052.256225 samples/sec	rmse=0.017776	lr=0.153580
Epoch[117] Batch [99]	Speed: 1037.845122 samples/sec	rmse=0.017794	lr=0.153455
Epoch[117] Batch [149]	Speed: 1039.272341 samples/sec	rmse=0.017804	lr=0.153329
Epoch[117] Batch [199]	Speed: 1042.467563 samples/sec	rmse=0.017777	lr=0.153204
Epoch[117] Batch [249]	Speed: 1033.520030 samples/sec	rmse=0.017775	lr=0.153079
Epoch[117] Batch [299]	Speed: 1040.455327 samples/sec	rmse=0.017789	lr=0.152954
Epoch[117] Batch [349]	Speed: 1038.440732 samples/sec	rmse=0.017797	lr=0.152829
Epoch[117] Batch [399]	Speed: 1041.615067 samples/sec	rmse=0.017820	lr=0.152704
Epoch[117] Batch [449]	Speed: 1034.164110 samples/sec	rmse=0.017836	lr=0.152578
Epoch[117] Batch [499]	Speed: 1041.462001 samples/sec	rmse=0.017841	lr=0.152453
Epoch[117] Batch [549]	Speed: 1041.846142 samples/sec	rmse=0.017852	lr=0.152328
Epoch[117] Batch [599]	Speed: 1039.360974 samples/sec	rmse=0.017863	lr=0.152203
Epoch[117] Batch [649]	Speed: 1042.642580 samples/sec	rmse=0.017865	lr=0.152078
Epoch[117] Batch [699]	Speed: 1039.915278 samples/sec	rmse=0.017873	lr=0.151953
Epoch[117] Batch [749]	Speed: 1040.266238 samples/sec	rmse=0.017886	lr=0.151828
Epoch[117] Batch [799]	Speed: 1041.998537 samples/sec	rmse=0.017896	lr=0.151703
Epoch[117] Batch [849]	Speed: 1040.254371 samples/sec	rmse=0.017901	lr=0.151578
Epoch[117] Batch [899]	Speed: 1041.296680 samples/sec	rmse=0.017902	lr=0.151453
Epoch[117] Batch [949]	Speed: 1043.350419 samples/sec	rmse=0.017915	lr=0.151328
Epoch[117] Batch [999]	Speed: 1039.627518 samples/sec	rmse=0.017917	lr=0.151203
Epoch[117] Batch [1049]	Speed: 1040.001397 samples/sec	rmse=0.017921	lr=0.151078
Epoch[117] Batch [1099]	Speed: 1042.889654 samples/sec	rmse=0.017926	lr=0.150954
Epoch[117] Batch [1149]	Speed: 1042.072738 samples/sec	rmse=0.017934	lr=0.150829
Epoch[117] Batch [1199]	Speed: 1041.896224 samples/sec	rmse=0.017937	lr=0.150704
Epoch[117] Batch [1249]	Speed: 1038.816185 samples/sec	rmse=0.017939	lr=0.150579
[Epoch 117] training: rmse=0.017939
[Epoch 117] speed: 1039 samples/sec	time cost: 1244.809348
[Epoch 117] validation: err-top1=0.294862 err-top5=0.096201
Epoch[118] Batch [49]	Speed: 1053.594433 samples/sec	rmse=0.017807	lr=0.150452
Epoch[118] Batch [99]	Speed: 1042.735399 samples/sec	rmse=0.017820	lr=0.150327
Epoch[118] Batch [149]	Speed: 1043.899696 samples/sec	rmse=0.017785	lr=0.150202
Epoch[118] Batch [199]	Speed: 1044.861461 samples/sec	rmse=0.017751	lr=0.150078
Epoch[118] Batch [249]	Speed: 1042.609540 samples/sec	rmse=0.017764	lr=0.149953
Epoch[118] Batch [299]	Speed: 1043.876065 samples/sec	rmse=0.017761	lr=0.149828
Epoch[118] Batch [349]	Speed: 1043.562462 samples/sec	rmse=0.017777	lr=0.149704
Epoch[118] Batch [399]	Speed: 1043.656647 samples/sec	rmse=0.017803	lr=0.149579
Epoch[118] Batch [449]	Speed: 1043.149220 samples/sec	rmse=0.017828	lr=0.149454
Epoch[118] Batch [499]	Speed: 1040.207838 samples/sec	rmse=0.017831	lr=0.149330
Epoch[118] Batch [549]	Speed: 1042.222489 samples/sec	rmse=0.017840	lr=0.149205
Epoch[118] Batch [599]	Speed: 1033.766383 samples/sec	rmse=0.017847	lr=0.149081
Epoch[118] Batch [649]	Speed: 1039.298756 samples/sec	rmse=0.017849	lr=0.148956
Epoch[118] Batch [699]	Speed: 1035.028633 samples/sec	rmse=0.017859	lr=0.148832
Epoch[118] Batch [749]	Speed: 1040.356957 samples/sec	rmse=0.017860	lr=0.148707
Epoch[118] Batch [799]	Speed: 1030.575905 samples/sec	rmse=0.017864	lr=0.148583
Epoch[118] Batch [849]	Speed: 1041.882202 samples/sec	rmse=0.017867	lr=0.148458
Epoch[118] Batch [899]	Speed: 1035.674719 samples/sec	rmse=0.017877	lr=0.148334
Epoch[118] Batch [949]	Speed: 1034.971661 samples/sec	rmse=0.017877	lr=0.148209
Epoch[118] Batch [999]	Speed: 1039.013615 samples/sec	rmse=0.017889	lr=0.148085
Epoch[118] Batch [1049]	Speed: 1036.796533 samples/sec	rmse=0.017891	lr=0.147961
Epoch[118] Batch [1099]	Speed: 1031.418925 samples/sec	rmse=0.017899	lr=0.147836
Epoch[118] Batch [1149]	Speed: 1036.216802 samples/sec	rmse=0.017909	lr=0.147712
Epoch[118] Batch [1199]	Speed: 1038.793090 samples/sec	rmse=0.017919	lr=0.147588
Epoch[118] Batch [1249]	Speed: 1044.388862 samples/sec	rmse=0.017921	lr=0.147463
[Epoch 118] training: rmse=0.017921
[Epoch 118] speed: 1039 samples/sec	time cost: 1246.058174
[Epoch 118] validation: err-top1=0.274833 err-top5=0.086515
Epoch[119] Batch [49]	Speed: 1051.114678 samples/sec	rmse=0.017664	lr=0.147337
Epoch[119] Batch [99]	Speed: 1039.505653 samples/sec	rmse=0.017749	lr=0.147213
Epoch[119] Batch [149]	Speed: 1037.754621 samples/sec	rmse=0.017751	lr=0.147088
Epoch[119] Batch [199]	Speed: 1036.958475 samples/sec	rmse=0.017781	lr=0.146964
Epoch[119] Batch [249]	Speed: 1038.630449 samples/sec	rmse=0.017788	lr=0.146840
Epoch[119] Batch [299]	Speed: 1041.144314 samples/sec	rmse=0.017806	lr=0.146716
Epoch[119] Batch [349]	Speed: 1037.716279 samples/sec	rmse=0.017792	lr=0.146592
Epoch[119] Batch [399]	Speed: 1044.190157 samples/sec	rmse=0.017790	lr=0.146468
Epoch[119] Batch [449]	Speed: 1031.409568 samples/sec	rmse=0.017803	lr=0.146344
Epoch[119] Batch [499]	Speed: 1040.732626 samples/sec	rmse=0.017803	lr=0.146220
Epoch[119] Batch [549]	Speed: 1041.921859 samples/sec	rmse=0.017797	lr=0.146095
Epoch[119] Batch [599]	Speed: 1041.431202 samples/sec	rmse=0.017789	lr=0.145971
Epoch[119] Batch [649]	Speed: 1040.768019 samples/sec	rmse=0.017795	lr=0.145847
Epoch[119] Batch [699]	Speed: 1042.513772 samples/sec	rmse=0.017809	lr=0.145724
Epoch[119] Batch [749]	Speed: 1041.642107 samples/sec	rmse=0.017817	lr=0.145600
Epoch[119] Batch [799]	Speed: 1040.013298 samples/sec	rmse=0.017822	lr=0.145476
Epoch[119] Batch [849]	Speed: 1044.025923 samples/sec	rmse=0.017826	lr=0.145352
Epoch[119] Batch [899]	Speed: 1041.665455 samples/sec	rmse=0.017824	lr=0.145228
Epoch[119] Batch [949]	Speed: 1041.259545 samples/sec	rmse=0.017829	lr=0.145104
Epoch[119] Batch [999]	Speed: 1043.065006 samples/sec	rmse=0.017840	lr=0.144980
Epoch[119] Batch [1049]	Speed: 1044.920330 samples/sec	rmse=0.017844	lr=0.144856
Epoch[119] Batch [1099]	Speed: 1038.771498 samples/sec	rmse=0.017856	lr=0.144733
Epoch[119] Batch [1149]	Speed: 1038.060995 samples/sec	rmse=0.017858	lr=0.144609
Epoch[119] Batch [1199]	Speed: 1034.483227 samples/sec	rmse=0.017863	lr=0.144485
Epoch[119] Batch [1249]	Speed: 1039.651037 samples/sec	rmse=0.017867	lr=0.144361
[Epoch 119] training: rmse=0.017867
[Epoch 119] speed: 1039 samples/sec	time cost: 1245.827904
[Epoch 119] validation: err-top1=0.290956 err-top5=0.095843
Epoch[120] Batch [49]	Speed: 1045.164563 samples/sec	rmse=0.017588	lr=0.144235
Epoch[120] Batch [99]	Speed: 1036.585485 samples/sec	rmse=0.017643	lr=0.144112
Epoch[120] Batch [149]	Speed: 1039.081861 samples/sec	rmse=0.017685	lr=0.143988
Epoch[120] Batch [199]	Speed: 1041.052429 samples/sec	rmse=0.017708	lr=0.143864
Epoch[120] Batch [249]	Speed: 1039.468339 samples/sec	rmse=0.017697	lr=0.143741
Epoch[120] Batch [299]	Speed: 1035.466314 samples/sec	rmse=0.017717	lr=0.143617
Epoch[120] Batch [349]	Speed: 1037.168724 samples/sec	rmse=0.017717	lr=0.143494
Epoch[120] Batch [399]	Speed: 1035.446992 samples/sec	rmse=0.017732	lr=0.143370
Epoch[120] Batch [449]	Speed: 1037.591298 samples/sec	rmse=0.017742	lr=0.143247
Epoch[120] Batch [499]	Speed: 1038.741105 samples/sec	rmse=0.017763	lr=0.143123
Epoch[120] Batch [549]	Speed: 1038.524528 samples/sec	rmse=0.017773	lr=0.143000
Epoch[120] Batch [599]	Speed: 1040.044738 samples/sec	rmse=0.017786	lr=0.142876
Epoch[120] Batch [649]	Speed: 1039.865743 samples/sec	rmse=0.017779	lr=0.142753
Epoch[120] Batch [699]	Speed: 1038.372987 samples/sec	rmse=0.017789	lr=0.142629
Epoch[120] Batch [749]	Speed: 1039.089448 samples/sec	rmse=0.017793	lr=0.142506
Epoch[120] Batch [799]	Speed: 1038.594137 samples/sec	rmse=0.017798	lr=0.142383
Epoch[120] Batch [849]	Speed: 1041.364874 samples/sec	rmse=0.017805	lr=0.142259
Epoch[120] Batch [899]	Speed: 1041.286521 samples/sec	rmse=0.017816	lr=0.142136
Epoch[120] Batch [949]	Speed: 1038.353476 samples/sec	rmse=0.017824	lr=0.142013
Epoch[120] Batch [999]	Speed: 1037.740229 samples/sec	rmse=0.017827	lr=0.141890
Epoch[120] Batch [1049]	Speed: 1038.383812 samples/sec	rmse=0.017831	lr=0.141766
Epoch[120] Batch [1099]	Speed: 1040.529430 samples/sec	rmse=0.017828	lr=0.141643
Epoch[120] Batch [1149]	Speed: 1041.647048 samples/sec	rmse=0.017830	lr=0.141520
Epoch[120] Batch [1199]	Speed: 1042.913737 samples/sec	rmse=0.017836	lr=0.141397
Epoch[120] Batch [1249]	Speed: 1043.784530 samples/sec	rmse=0.017841	lr=0.141274
[Epoch 120] training: rmse=0.017840
[Epoch 120] speed: 1038 samples/sec	time cost: 1246.451630
[Epoch 120] validation: err-top1=0.291673 err-top5=0.096739
Epoch[121] Batch [49]	Speed: 1057.280678 samples/sec	rmse=0.017571	lr=0.141148
Epoch[121] Batch [99]	Speed: 1040.523501 samples/sec	rmse=0.017636	lr=0.141025
Epoch[121] Batch [149]	Speed: 1041.617456 samples/sec	rmse=0.017678	lr=0.140902
Epoch[121] Batch [199]	Speed: 1041.732858 samples/sec	rmse=0.017659	lr=0.140779
Epoch[121] Batch [249]	Speed: 1037.219540 samples/sec	rmse=0.017655	lr=0.140656
Epoch[121] Batch [299]	Speed: 1039.667869 samples/sec	rmse=0.017658	lr=0.140533
Epoch[121] Batch [349]	Speed: 1039.840940 samples/sec	rmse=0.017676	lr=0.140410
Epoch[121] Batch [399]	Speed: 1039.664376 samples/sec	rmse=0.017675	lr=0.140287
Epoch[121] Batch [449]	Speed: 1036.302015 samples/sec	rmse=0.017680	lr=0.140164
Epoch[121] Batch [499]	Speed: 1039.913787 samples/sec	rmse=0.017698	lr=0.140042
Epoch[121] Batch [549]	Speed: 1034.644068 samples/sec	rmse=0.017703	lr=0.139919
Epoch[121] Batch [599]	Speed: 1034.789711 samples/sec	rmse=0.017715	lr=0.139796
Epoch[121] Batch [649]	Speed: 1037.692180 samples/sec	rmse=0.017720	lr=0.139673
Epoch[121] Batch [699]	Speed: 1035.051620 samples/sec	rmse=0.017737	lr=0.139550
Epoch[121] Batch [749]	Speed: 1041.490311 samples/sec	rmse=0.017749	lr=0.139428
Epoch[121] Batch [799]	Speed: 1038.924619 samples/sec	rmse=0.017760	lr=0.139305
Epoch[121] Batch [849]	Speed: 1042.535945 samples/sec	rmse=0.017768	lr=0.139182
Epoch[121] Batch [899]	Speed: 1042.616652 samples/sec	rmse=0.017766	lr=0.139059
Epoch[121] Batch [949]	Speed: 1038.817331 samples/sec	rmse=0.017769	lr=0.138937
Epoch[121] Batch [999]	Speed: 1039.451715 samples/sec	rmse=0.017773	lr=0.138814
Epoch[121] Batch [1049]	Speed: 1040.436182 samples/sec	rmse=0.017780	lr=0.138692
Epoch[121] Batch [1099]	Speed: 1037.212857 samples/sec	rmse=0.017781	lr=0.138569
Epoch[121] Batch [1149]	Speed: 1038.095729 samples/sec	rmse=0.017786	lr=0.138447
Epoch[121] Batch [1199]	Speed: 1040.810487 samples/sec	rmse=0.017794	lr=0.138324
Epoch[121] Batch [1249]	Speed: 1041.319841 samples/sec	rmse=0.017804	lr=0.138202
[Epoch 121] training: rmse=0.017803
[Epoch 121] speed: 1039 samples/sec	time cost: 1247.562181
[Epoch 121] validation: err-top1=0.282685 err-top5=0.091717
Epoch[122] Batch [49]	Speed: 1050.664611 samples/sec	rmse=0.017590	lr=0.138077
Epoch[122] Batch [99]	Speed: 1040.943551 samples/sec	rmse=0.017569	lr=0.137954
Epoch[122] Batch [149]	Speed: 1042.137579 samples/sec	rmse=0.017631	lr=0.137832
Epoch[122] Batch [199]	Speed: 1041.730685 samples/sec	rmse=0.017621	lr=0.137709
Epoch[122] Batch [249]	Speed: 1041.495579 samples/sec	rmse=0.017621	lr=0.137587
Epoch[122] Batch [299]	Speed: 1041.986327 samples/sec	rmse=0.017625	lr=0.137465
Epoch[122] Batch [349]	Speed: 1041.145667 samples/sec	rmse=0.017638	lr=0.137342
Epoch[122] Batch [399]	Speed: 1039.689926 samples/sec	rmse=0.017657	lr=0.137220
Epoch[122] Batch [449]	Speed: 1041.532070 samples/sec	rmse=0.017661	lr=0.137098
Epoch[122] Batch [499]	Speed: 1039.991530 samples/sec	rmse=0.017674	lr=0.136976
Epoch[122] Batch [549]	Speed: 1039.501442 samples/sec	rmse=0.017674	lr=0.136853
Epoch[122] Batch [599]	Speed: 1034.422355 samples/sec	rmse=0.017687	lr=0.136731
Epoch[122] Batch [649]	Speed: 1039.775947 samples/sec	rmse=0.017681	lr=0.136609
Epoch[122] Batch [699]	Speed: 1030.590124 samples/sec	rmse=0.017690	lr=0.136487
Epoch[122] Batch [749]	Speed: 1035.064277 samples/sec	rmse=0.017696	lr=0.136365
Epoch[122] Batch [799]	Speed: 1038.802029 samples/sec	rmse=0.017699	lr=0.136243
Epoch[122] Batch [849]	Speed: 1033.356356 samples/sec	rmse=0.017707	lr=0.136121
Epoch[122] Batch [899]	Speed: 1036.744317 samples/sec	rmse=0.017713	lr=0.135999
Epoch[122] Batch [949]	Speed: 1042.993251 samples/sec	rmse=0.017723	lr=0.135877
Epoch[122] Batch [999]	Speed: 1037.099547 samples/sec	rmse=0.017735	lr=0.135755
Epoch[122] Batch [1049]	Speed: 1033.825725 samples/sec	rmse=0.017738	lr=0.135633
Epoch[122] Batch [1099]	Speed: 1040.890346 samples/sec	rmse=0.017740	lr=0.135511
Epoch[122] Batch [1149]	Speed: 1034.109968 samples/sec	rmse=0.017742	lr=0.135389
Epoch[122] Batch [1199]	Speed: 1041.852233 samples/sec	rmse=0.017752	lr=0.135267
Epoch[122] Batch [1249]	Speed: 1043.870113 samples/sec	rmse=0.017757	lr=0.135145
[Epoch 122] training: rmse=0.017758
[Epoch 122] speed: 1038 samples/sec	time cost: 1246.399336
[Epoch 122] validation: err-top1=0.269633 err-top5=0.082275
Epoch[123] Batch [49]	Speed: 1049.976324 samples/sec	rmse=0.017660	lr=0.135021
Epoch[123] Batch [99]	Speed: 1041.393285 samples/sec	rmse=0.017621	lr=0.134899
Epoch[123] Batch [149]	Speed: 1042.099226 samples/sec	rmse=0.017600	lr=0.134777
Epoch[123] Batch [199]	Speed: 1040.976364 samples/sec	rmse=0.017626	lr=0.134656
Epoch[123] Batch [249]	Speed: 1040.351342 samples/sec	rmse=0.017623	lr=0.134534
Epoch[123] Batch [299]	Speed: 1037.996414 samples/sec	rmse=0.017641	lr=0.134412
Epoch[123] Batch [349]	Speed: 1040.590560 samples/sec	rmse=0.017613	lr=0.134291
Epoch[123] Batch [399]	Speed: 1042.316386 samples/sec	rmse=0.017629	lr=0.134169
Epoch[123] Batch [449]	Speed: 1037.290933 samples/sec	rmse=0.017637	lr=0.134047
Epoch[123] Batch [499]	Speed: 1039.028239 samples/sec	rmse=0.017640	lr=0.133926
Epoch[123] Batch [549]	Speed: 1041.238457 samples/sec	rmse=0.017651	lr=0.133804
Epoch[123] Batch [599]	Speed: 1043.038043 samples/sec	rmse=0.017648	lr=0.133683
Epoch[123] Batch [649]	Speed: 1039.601473 samples/sec	rmse=0.017645	lr=0.133561
Epoch[123] Batch [699]	Speed: 1038.399106 samples/sec	rmse=0.017645	lr=0.133440
Epoch[123] Batch [749]	Speed: 1044.015518 samples/sec	rmse=0.017651	lr=0.133318
Epoch[123] Batch [799]	Speed: 1041.659841 samples/sec	rmse=0.017655	lr=0.133197
Epoch[123] Batch [849]	Speed: 1041.879058 samples/sec	rmse=0.017658	lr=0.133076
Epoch[123] Batch [899]	Speed: 1043.924293 samples/sec	rmse=0.017662	lr=0.132954
Epoch[123] Batch [949]	Speed: 1043.222536 samples/sec	rmse=0.017665	lr=0.132833
Epoch[123] Batch [999]	Speed: 1041.720876 samples/sec	rmse=0.017675	lr=0.132712
Epoch[123] Batch [1049]	Speed: 1044.233777 samples/sec	rmse=0.017685	lr=0.132590
Epoch[123] Batch [1099]	Speed: 1041.268694 samples/sec	rmse=0.017691	lr=0.132469
Epoch[123] Batch [1149]	Speed: 1041.584042 samples/sec	rmse=0.017689	lr=0.132348
Epoch[123] Batch [1199]	Speed: 1041.931176 samples/sec	rmse=0.017693	lr=0.132227
Epoch[123] Batch [1249]	Speed: 1043.659690 samples/sec	rmse=0.017697	lr=0.132106
[Epoch 123] training: rmse=0.017697
[Epoch 123] speed: 1040 samples/sec	time cost: 1243.710772
[Epoch 123] validation: err-top1=0.272361 err-top5=0.083885
Epoch[124] Batch [49]	Speed: 1050.024629 samples/sec	rmse=0.017496	lr=0.131982
Epoch[124] Batch [99]	Speed: 1035.523674 samples/sec	rmse=0.017512	lr=0.131861
Epoch[124] Batch [149]	Speed: 1040.944928 samples/sec	rmse=0.017530	lr=0.131740
Epoch[124] Batch [199]	Speed: 1037.789064 samples/sec	rmse=0.017515	lr=0.131619
Epoch[124] Batch [249]	Speed: 1039.309319 samples/sec	rmse=0.017530	lr=0.131498
Epoch[124] Batch [299]	Speed: 1042.399872 samples/sec	rmse=0.017523	lr=0.131377
Epoch[124] Batch [349]	Speed: 1037.066817 samples/sec	rmse=0.017509	lr=0.131256
Epoch[124] Batch [399]	Speed: 1040.146562 samples/sec	rmse=0.017511	lr=0.131135
Epoch[124] Batch [449]	Speed: 1038.666769 samples/sec	rmse=0.017529	lr=0.131014
Epoch[124] Batch [499]	Speed: 1040.018330 samples/sec	rmse=0.017544	lr=0.130893
Epoch[124] Batch [549]	Speed: 1041.281508 samples/sec	rmse=0.017568	lr=0.130773
Epoch[124] Batch [599]	Speed: 1031.804080 samples/sec	rmse=0.017591	lr=0.130652
Epoch[124] Batch [649]	Speed: 1041.523457 samples/sec	rmse=0.017591	lr=0.130531
Epoch[124] Batch [699]	Speed: 1033.003900 samples/sec	rmse=0.017596	lr=0.130410
Epoch[124] Batch [749]	Speed: 1039.331004 samples/sec	rmse=0.017602	lr=0.130289
Epoch[124] Batch [799]	Speed: 1039.329379 samples/sec	rmse=0.017616	lr=0.130169
Epoch[124] Batch [849]	Speed: 1041.843311 samples/sec	rmse=0.017627	lr=0.130048
Epoch[124] Batch [899]	Speed: 1040.394592 samples/sec	rmse=0.017626	lr=0.129927
Epoch[124] Batch [949]	Speed: 1036.391542 samples/sec	rmse=0.017637	lr=0.129807
Epoch[124] Batch [999]	Speed: 1043.506728 samples/sec	rmse=0.017639	lr=0.129686
Epoch[124] Batch [1049]	Speed: 1038.141196 samples/sec	rmse=0.017645	lr=0.129566
Epoch[124] Batch [1099]	Speed: 1039.940815 samples/sec	rmse=0.017653	lr=0.129445
Epoch[124] Batch [1149]	Speed: 1041.114715 samples/sec	rmse=0.017659	lr=0.129325
Epoch[124] Batch [1199]	Speed: 1043.634888 samples/sec	rmse=0.017663	lr=0.129204
Epoch[124] Batch [1249]	Speed: 1045.080212 samples/sec	rmse=0.017669	lr=0.129084
[Epoch 124] training: rmse=0.017669
[Epoch 124] speed: 1039 samples/sec	time cost: 1245.929350
[Epoch 124] validation: err-top1=0.281888 err-top5=0.091717
Epoch[125] Batch [49]	Speed: 1053.624916 samples/sec	rmse=0.017392	lr=0.128961
Epoch[125] Batch [99]	Speed: 1040.974159 samples/sec	rmse=0.017391	lr=0.128841
Epoch[125] Batch [149]	Speed: 1042.083342 samples/sec	rmse=0.017422	lr=0.128720
Epoch[125] Batch [199]	Speed: 1043.066252 samples/sec	rmse=0.017442	lr=0.128600
Epoch[125] Batch [249]	Speed: 1043.254201 samples/sec	rmse=0.017457	lr=0.128480
Epoch[125] Batch [299]	Speed: 1040.658217 samples/sec	rmse=0.017456	lr=0.128359
Epoch[125] Batch [349]	Speed: 1043.133907 samples/sec	rmse=0.017468	lr=0.128239
Epoch[125] Batch [399]	Speed: 1043.417457 samples/sec	rmse=0.017473	lr=0.128119
Epoch[125] Batch [449]	Speed: 1041.682104 samples/sec	rmse=0.017485	lr=0.127999
Epoch[125] Batch [499]	Speed: 1042.691939 samples/sec	rmse=0.017496	lr=0.127879
Epoch[125] Batch [549]	Speed: 1042.814744 samples/sec	rmse=0.017512	lr=0.127759
Epoch[125] Batch [599]	Speed: 1043.440084 samples/sec	rmse=0.017526	lr=0.127639
Epoch[125] Batch [649]	Speed: 1039.666797 samples/sec	rmse=0.017530	lr=0.127519
Epoch[125] Batch [699]	Speed: 1041.872153 samples/sec	rmse=0.017536	lr=0.127399
Epoch[125] Batch [749]	Speed: 1037.265992 samples/sec	rmse=0.017540	lr=0.127279
Epoch[125] Batch [799]	Speed: 1036.584459 samples/sec	rmse=0.017545	lr=0.127159
Epoch[125] Batch [849]	Speed: 1040.540633 samples/sec	rmse=0.017552	lr=0.127039
Epoch[125] Batch [899]	Speed: 1039.087603 samples/sec	rmse=0.017553	lr=0.126919
Epoch[125] Batch [949]	Speed: 1036.546924 samples/sec	rmse=0.017557	lr=0.126799
Epoch[125] Batch [999]	Speed: 1042.103100 samples/sec	rmse=0.017569	lr=0.126679
Epoch[125] Batch [1049]	Speed: 1032.727645 samples/sec	rmse=0.017572	lr=0.126559
Epoch[125] Batch [1099]	Speed: 1033.821793 samples/sec	rmse=0.017579	lr=0.126440
Epoch[125] Batch [1149]	Speed: 1040.597337 samples/sec	rmse=0.017582	lr=0.126320
Epoch[125] Batch [1199]	Speed: 1032.585680 samples/sec	rmse=0.017585	lr=0.126200
Epoch[125] Batch [1249]	Speed: 1029.275141 samples/sec	rmse=0.017591	lr=0.126080
[Epoch 125] training: rmse=0.017591
[Epoch 125] speed: 1039 samples/sec	time cost: 1246.043112
[Epoch 125] validation: err-top1=0.270647 err-top5=0.083905
Epoch[126] Batch [49]	Speed: 1050.705628 samples/sec	rmse=0.017384	lr=0.125958
Epoch[126] Batch [99]	Speed: 1039.782537 samples/sec	rmse=0.017361	lr=0.125839
Epoch[126] Batch [149]	Speed: 1042.146460 samples/sec	rmse=0.017370	lr=0.125719
Epoch[126] Batch [199]	Speed: 1043.126393 samples/sec	rmse=0.017402	lr=0.125600
Epoch[126] Batch [249]	Speed: 1043.161994 samples/sec	rmse=0.017396	lr=0.125480
Epoch[126] Batch [299]	Speed: 1041.256253 samples/sec	rmse=0.017418	lr=0.125361
Epoch[126] Batch [349]	Speed: 1045.043264 samples/sec	rmse=0.017439	lr=0.125241
Epoch[126] Batch [399]	Speed: 1043.346921 samples/sec	rmse=0.017441	lr=0.125122
Epoch[126] Batch [449]	Speed: 1040.729333 samples/sec	rmse=0.017442	lr=0.125002
Epoch[126] Batch [499]	Speed: 1041.703792 samples/sec	rmse=0.017449	lr=0.124883
Epoch[126] Batch [549]	Speed: 1044.648667 samples/sec	rmse=0.017462	lr=0.124764
Epoch[126] Batch [599]	Speed: 1041.776703 samples/sec	rmse=0.017461	lr=0.124644
Epoch[126] Batch [649]	Speed: 1038.525090 samples/sec	rmse=0.017475	lr=0.124525
Epoch[126] Batch [699]	Speed: 1033.146308 samples/sec	rmse=0.017486	lr=0.124406
Epoch[126] Batch [749]	Speed: 1038.757259 samples/sec	rmse=0.017498	lr=0.124287
Epoch[126] Batch [799]	Speed: 1039.252349 samples/sec	rmse=0.017513	lr=0.124167
Epoch[126] Batch [849]	Speed: 1044.439220 samples/sec	rmse=0.017524	lr=0.124048
Epoch[126] Batch [899]	Speed: 1042.306734 samples/sec	rmse=0.017528	lr=0.123929
Epoch[126] Batch [949]	Speed: 1043.349116 samples/sec	rmse=0.017533	lr=0.123810
Epoch[126] Batch [999]	Speed: 1041.684944 samples/sec	rmse=0.017542	lr=0.123691
Epoch[126] Batch [1049]	Speed: 1043.456262 samples/sec	rmse=0.017548	lr=0.123572
Epoch[126] Batch [1099]	Speed: 1041.134229 samples/sec	rmse=0.017552	lr=0.123453
Epoch[126] Batch [1149]	Speed: 1042.563797 samples/sec	rmse=0.017558	lr=0.123334
Epoch[126] Batch [1199]	Speed: 1040.848382 samples/sec	rmse=0.017567	lr=0.123215
Epoch[126] Batch [1249]	Speed: 1042.193774 samples/sec	rmse=0.017574	lr=0.123096
[Epoch 126] training: rmse=0.017574
[Epoch 126] speed: 1041 samples/sec	time cost: 1243.567197
[Epoch 126] validation: err-top1=0.278181 err-top5=0.086954
Epoch[127] Batch [49]	Speed: 1049.615873 samples/sec	rmse=0.017277	lr=0.122975
Epoch[127] Batch [99]	Speed: 1036.568058 samples/sec	rmse=0.017288	lr=0.122856
Epoch[127] Batch [149]	Speed: 1041.093269 samples/sec	rmse=0.017321	lr=0.122737
Epoch[127] Batch [199]	Speed: 1039.627065 samples/sec	rmse=0.017330	lr=0.122618
Epoch[127] Batch [249]	Speed: 1042.204573 samples/sec	rmse=0.017342	lr=0.122500
Epoch[127] Batch [299]	Speed: 1041.397704 samples/sec	rmse=0.017374	lr=0.122381
Epoch[127] Batch [349]	Speed: 1039.379154 samples/sec	rmse=0.017391	lr=0.122262
Epoch[127] Batch [399]	Speed: 1039.436103 samples/sec	rmse=0.017401	lr=0.122144
Epoch[127] Batch [449]	Speed: 1042.736275 samples/sec	rmse=0.017411	lr=0.122025
Epoch[127] Batch [499]	Speed: 1038.199872 samples/sec	rmse=0.017425	lr=0.121907
Epoch[127] Batch [549]	Speed: 1038.740839 samples/sec	rmse=0.017425	lr=0.121788
Epoch[127] Batch [599]	Speed: 1038.930364 samples/sec	rmse=0.017436	lr=0.121669
Epoch[127] Batch [649]	Speed: 1039.236537 samples/sec	rmse=0.017450	lr=0.121551
Epoch[127] Batch [699]	Speed: 1040.548685 samples/sec	rmse=0.017459	lr=0.121433
Epoch[127] Batch [749]	Speed: 1040.524868 samples/sec	rmse=0.017468	lr=0.121314
Epoch[127] Batch [799]	Speed: 1038.746421 samples/sec	rmse=0.017480	lr=0.121196
Epoch[127] Batch [849]	Speed: 1043.013119 samples/sec	rmse=0.017484	lr=0.121077
Epoch[127] Batch [899]	Speed: 1039.895085 samples/sec	rmse=0.017493	lr=0.120959
Epoch[127] Batch [949]	Speed: 1039.419989 samples/sec	rmse=0.017497	lr=0.120841
Epoch[127] Batch [999]	Speed: 1039.721920 samples/sec	rmse=0.017502	lr=0.120723
Epoch[127] Batch [1049]	Speed: 1043.605848 samples/sec	rmse=0.017504	lr=0.120604
Epoch[127] Batch [1099]	Speed: 1039.969964 samples/sec	rmse=0.017513	lr=0.120486
Epoch[127] Batch [1149]	Speed: 1039.883906 samples/sec	rmse=0.017518	lr=0.120368
Epoch[127] Batch [1199]	Speed: 1040.956660 samples/sec	rmse=0.017523	lr=0.120250
Epoch[127] Batch [1249]	Speed: 1044.960162 samples/sec	rmse=0.017528	lr=0.120132
[Epoch 127] training: rmse=0.017528
[Epoch 127] speed: 1039 samples/sec	time cost: 1244.843202
[Epoch 127] validation: err-top1=0.260050 err-top5=0.077209
Epoch[128] Batch [49]	Speed: 1048.990469 samples/sec	rmse=0.017243	lr=0.120011
Epoch[128] Batch [99]	Speed: 1040.350112 samples/sec	rmse=0.017286	lr=0.119893
Epoch[128] Batch [149]	Speed: 1043.583589 samples/sec	rmse=0.017299	lr=0.119775
Epoch[128] Batch [199]	Speed: 1044.253479 samples/sec	rmse=0.017320	lr=0.119657
Epoch[128] Batch [249]	Speed: 1042.081441 samples/sec	rmse=0.017330	lr=0.119540
Epoch[128] Batch [299]	Speed: 1042.181464 samples/sec	rmse=0.017357	lr=0.119422
Epoch[128] Batch [349]	Speed: 1040.934317 samples/sec	rmse=0.017372	lr=0.119304
Epoch[128] Batch [399]	Speed: 1043.929362 samples/sec	rmse=0.017376	lr=0.119186
Epoch[128] Batch [449]	Speed: 1043.496830 samples/sec	rmse=0.017387	lr=0.119068
Epoch[128] Batch [499]	Speed: 1040.252436 samples/sec	rmse=0.017409	lr=0.118950
Epoch[128] Batch [549]	Speed: 1039.971027 samples/sec	rmse=0.017416	lr=0.118833
Epoch[128] Batch [599]	Speed: 1042.892288 samples/sec	rmse=0.017422	lr=0.118715
Epoch[128] Batch [649]	Speed: 1040.720279 samples/sec	rmse=0.017436	lr=0.118597
Epoch[128] Batch [699]	Speed: 1037.480466 samples/sec	rmse=0.017434	lr=0.118480
Epoch[128] Batch [749]	Speed: 1041.003614 samples/sec	rmse=0.017438	lr=0.118362
Epoch[128] Batch [799]	Speed: 1035.710229 samples/sec	rmse=0.017441	lr=0.118245
Epoch[128] Batch [849]	Speed: 1042.147881 samples/sec	rmse=0.017448	lr=0.118127
Epoch[128] Batch [899]	Speed: 1034.247745 samples/sec	rmse=0.017450	lr=0.118010
Epoch[128] Batch [949]	Speed: 1039.199216 samples/sec	rmse=0.017451	lr=0.117892
Epoch[128] Batch [999]	Speed: 1041.777491 samples/sec	rmse=0.017458	lr=0.117775
Epoch[128] Batch [1049]	Speed: 1036.957324 samples/sec	rmse=0.017464	lr=0.117657
Epoch[128] Batch [1099]	Speed: 1034.909145 samples/sec	rmse=0.017469	lr=0.117540
Epoch[128] Batch [1149]	Speed: 1033.436081 samples/sec	rmse=0.017475	lr=0.117423
Epoch[128] Batch [1199]	Speed: 1037.869043 samples/sec	rmse=0.017483	lr=0.117305
Epoch[128] Batch [1249]	Speed: 1032.661079 samples/sec	rmse=0.017482	lr=0.117188
[Epoch 128] training: rmse=0.017482
[Epoch 128] speed: 1039 samples/sec	time cost: 1247.171030
[Epoch 128] validation: err-top1=0.267738 err-top5=0.081613
Epoch[129] Batch [49]	Speed: 1055.236293 samples/sec	rmse=0.017233	lr=0.117069
Epoch[129] Batch [99]	Speed: 1039.267764 samples/sec	rmse=0.017242	lr=0.116952
Epoch[129] Batch [149]	Speed: 1040.755732 samples/sec	rmse=0.017256	lr=0.116834
Epoch[129] Batch [199]	Speed: 1041.390295 samples/sec	rmse=0.017265	lr=0.116717
Epoch[129] Batch [249]	Speed: 1041.226986 samples/sec	rmse=0.017297	lr=0.116600
Epoch[129] Batch [299]	Speed: 1034.999076 samples/sec	rmse=0.017310	lr=0.116483
Epoch[129] Batch [349]	Speed: 1039.062359 samples/sec	rmse=0.017330	lr=0.116366
Epoch[129] Batch [399]	Speed: 1039.705022 samples/sec	rmse=0.017332	lr=0.116249
Epoch[129] Batch [449]	Speed: 1038.878837 samples/sec	rmse=0.017332	lr=0.116132
Epoch[129] Batch [499]	Speed: 1038.064161 samples/sec	rmse=0.017340	lr=0.116015
Epoch[129] Batch [549]	Speed: 1034.830306 samples/sec	rmse=0.017354	lr=0.115899
Epoch[129] Batch [599]	Speed: 1032.157881 samples/sec	rmse=0.017362	lr=0.115782
Epoch[129] Batch [649]	Speed: 1040.962952 samples/sec	rmse=0.017368	lr=0.115665
Epoch[129] Batch [699]	Speed: 1040.516247 samples/sec	rmse=0.017373	lr=0.115548
Epoch[129] Batch [749]	Speed: 1041.793836 samples/sec	rmse=0.017378	lr=0.115431
Epoch[129] Batch [799]	Speed: 1041.416995 samples/sec	rmse=0.017388	lr=0.115315
Epoch[129] Batch [849]	Speed: 1040.325719 samples/sec	rmse=0.017391	lr=0.115198
Epoch[129] Batch [899]	Speed: 1042.561054 samples/sec	rmse=0.017398	lr=0.115081
Epoch[129] Batch [949]	Speed: 1043.870438 samples/sec	rmse=0.017394	lr=0.114965
Epoch[129] Batch [999]	Speed: 1041.421162 samples/sec	rmse=0.017401	lr=0.114848
Epoch[129] Batch [1049]	Speed: 1039.952428 samples/sec	rmse=0.017402	lr=0.114732
Epoch[129] Batch [1099]	Speed: 1041.832222 samples/sec	rmse=0.017407	lr=0.114615
Epoch[129] Batch [1149]	Speed: 1040.216293 samples/sec	rmse=0.017412	lr=0.114499
Epoch[129] Batch [1199]	Speed: 1039.788699 samples/sec	rmse=0.017414	lr=0.114383
Epoch[129] Batch [1249]	Speed: 1044.497533 samples/sec	rmse=0.017418	lr=0.114266
[Epoch 129] training: rmse=0.017418
[Epoch 129] speed: 1039 samples/sec	time cost: 1245.247813
[Epoch 129] validation: err-top1=0.260822 err-top5=0.078125
Epoch[130] Batch [49]	Speed: 1051.038869 samples/sec	rmse=0.017138	lr=0.114147
Epoch[130] Batch [99]	Speed: 1042.432140 samples/sec	rmse=0.017194	lr=0.114031
Epoch[130] Batch [149]	Speed: 1031.121420 samples/sec	rmse=0.017188	lr=0.113915
Epoch[130] Batch [199]	Speed: 1038.415008 samples/sec	rmse=0.017200	lr=0.113799
Epoch[130] Batch [249]	Speed: 1032.682184 samples/sec	rmse=0.017219	lr=0.113683
Epoch[130] Batch [299]	Speed: 1044.538065 samples/sec	rmse=0.017225	lr=0.113566
Epoch[130] Batch [349]	Speed: 1039.182646 samples/sec	rmse=0.017246	lr=0.113450
Epoch[130] Batch [399]	Speed: 1039.941893 samples/sec	rmse=0.017274	lr=0.113334
Epoch[130] Batch [449]	Speed: 1041.166549 samples/sec	rmse=0.017296	lr=0.113218
Epoch[130] Batch [499]	Speed: 1036.327184 samples/sec	rmse=0.017312	lr=0.113102
Epoch[130] Batch [549]	Speed: 1033.827711 samples/sec	rmse=0.017330	lr=0.112986
Epoch[130] Batch [599]	Speed: 1040.023986 samples/sec	rmse=0.017338	lr=0.112870
Epoch[130] Batch [649]	Speed: 1038.908867 samples/sec	rmse=0.017347	lr=0.112754
Epoch[130] Batch [699]	Speed: 1036.062425 samples/sec	rmse=0.017348	lr=0.112638
Epoch[130] Batch [749]	Speed: 1035.368005 samples/sec	rmse=0.017358	lr=0.112523
Epoch[130] Batch [799]	Speed: 1036.833877 samples/sec	rmse=0.017367	lr=0.112407
Epoch[130] Batch [849]	Speed: 1035.946512 samples/sec	rmse=0.017371	lr=0.112291
Epoch[130] Batch [899]	Speed: 1040.869000 samples/sec	rmse=0.017369	lr=0.112175
Epoch[130] Batch [949]	Speed: 1040.983484 samples/sec	rmse=0.017374	lr=0.112060
Epoch[130] Batch [999]	Speed: 1041.840061 samples/sec	rmse=0.017387	lr=0.111944
Epoch[130] Batch [1049]	Speed: 1038.132258 samples/sec	rmse=0.017388	lr=0.111828
Epoch[130] Batch [1099]	Speed: 1038.443163 samples/sec	rmse=0.017390	lr=0.111713
Epoch[130] Batch [1149]	Speed: 1037.365969 samples/sec	rmse=0.017388	lr=0.111597
Epoch[130] Batch [1199]	Speed: 1039.227912 samples/sec	rmse=0.017389	lr=0.111482
Epoch[130] Batch [1249]	Speed: 1041.182228 samples/sec	rmse=0.017392	lr=0.111366
[Epoch 130] training: rmse=0.017392
[Epoch 130] speed: 1038 samples/sec	time cost: 1247.339699
[Epoch 130] validation: err-top1=0.276507 err-top5=0.087372
Epoch[131] Batch [49]	Speed: 1054.397536 samples/sec	rmse=0.017156	lr=0.111249
Epoch[131] Batch [99]	Speed: 1036.910268 samples/sec	rmse=0.017120	lr=0.111133
Epoch[131] Batch [149]	Speed: 1040.039883 samples/sec	rmse=0.017139	lr=0.111018
Epoch[131] Batch [199]	Speed: 1037.993193 samples/sec	rmse=0.017176	lr=0.110903
Epoch[131] Batch [249]	Speed: 1042.611569 samples/sec	rmse=0.017188	lr=0.110787
Epoch[131] Batch [299]	Speed: 1041.705909 samples/sec	rmse=0.017204	lr=0.110672
Epoch[131] Batch [349]	Speed: 1045.696531 samples/sec	rmse=0.017206	lr=0.110557
Epoch[131] Batch [399]	Speed: 1037.292767 samples/sec	rmse=0.017217	lr=0.110442
Epoch[131] Batch [449]	Speed: 1044.600413 samples/sec	rmse=0.017228	lr=0.110326
Epoch[131] Batch [499]	Speed: 1040.998396 samples/sec	rmse=0.017244	lr=0.110211
Epoch[131] Batch [549]	Speed: 1042.740685 samples/sec	rmse=0.017255	lr=0.110096
Epoch[131] Batch [599]	Speed: 1040.818714 samples/sec	rmse=0.017255	lr=0.109981
Epoch[131] Batch [649]	Speed: 1044.395603 samples/sec	rmse=0.017264	lr=0.109866
Epoch[131] Batch [699]	Speed: 1043.579349 samples/sec	rmse=0.017268	lr=0.109751
Epoch[131] Batch [749]	Speed: 1041.940017 samples/sec	rmse=0.017275	lr=0.109636
Epoch[131] Batch [799]	Speed: 1044.314178 samples/sec	rmse=0.017280	lr=0.109522
Epoch[131] Batch [849]	Speed: 1044.015518 samples/sec	rmse=0.017283	lr=0.109407
Epoch[131] Batch [899]	Speed: 1039.337266 samples/sec	rmse=0.017297	lr=0.109292
Epoch[131] Batch [949]	Speed: 1037.561865 samples/sec	rmse=0.017314	lr=0.109177
Epoch[131] Batch [999]	Speed: 1040.393619 samples/sec	rmse=0.017316	lr=0.109063
Epoch[131] Batch [1049]	Speed: 1043.950595 samples/sec	rmse=0.017323	lr=0.108948
Epoch[131] Batch [1099]	Speed: 1033.455641 samples/sec	rmse=0.017329	lr=0.108833
Epoch[131] Batch [1149]	Speed: 1043.820643 samples/sec	rmse=0.017331	lr=0.108719
Epoch[131] Batch [1199]	Speed: 1040.759828 samples/sec	rmse=0.017331	lr=0.108604
Epoch[131] Batch [1249]	Speed: 1041.772104 samples/sec	rmse=0.017338	lr=0.108489
[Epoch 131] training: rmse=0.017338
[Epoch 131] speed: 1040 samples/sec	time cost: 1244.002822
[Epoch 131] validation: err-top1=0.274115 err-top5=0.084981
Epoch[132] Batch [49]	Speed: 1052.739559 samples/sec	rmse=0.017091	lr=0.108373
Epoch[132] Batch [99]	Speed: 1043.328080 samples/sec	rmse=0.017130	lr=0.108258
Epoch[132] Batch [149]	Speed: 1039.865915 samples/sec	rmse=0.017158	lr=0.108144
Epoch[132] Batch [199]	Speed: 1038.924423 samples/sec	rmse=0.017164	lr=0.108029
Epoch[132] Batch [249]	Speed: 1039.074028 samples/sec	rmse=0.017166	lr=0.107915
Epoch[132] Batch [299]	Speed: 1038.950539 samples/sec	rmse=0.017181	lr=0.107801
Epoch[132] Batch [349]	Speed: 1041.956498 samples/sec	rmse=0.017186	lr=0.107687
Epoch[132] Batch [399]	Speed: 1037.434987 samples/sec	rmse=0.017199	lr=0.107572
Epoch[132] Batch [449]	Speed: 1040.295693 samples/sec	rmse=0.017203	lr=0.107458
Epoch[132] Batch [499]	Speed: 1034.516960 samples/sec	rmse=0.017203	lr=0.107344
Epoch[132] Batch [549]	Speed: 1039.927747 samples/sec	rmse=0.017214	lr=0.107230
Epoch[132] Batch [599]	Speed: 1041.244384 samples/sec	rmse=0.017222	lr=0.107116
Epoch[132] Batch [649]	Speed: 1039.575912 samples/sec	rmse=0.017230	lr=0.107002
Epoch[132] Batch [699]	Speed: 1041.640677 samples/sec	rmse=0.017249	lr=0.106888
Epoch[132] Batch [749]	Speed: 1042.096880 samples/sec	rmse=0.017250	lr=0.106774
Epoch[132] Batch [799]	Speed: 1038.568460 samples/sec	rmse=0.017253	lr=0.106660
Epoch[132] Batch [849]	Speed: 1035.096057 samples/sec	rmse=0.017255	lr=0.106546
Epoch[132] Batch [899]	Speed: 1039.390181 samples/sec	rmse=0.017266	lr=0.106432
Epoch[132] Batch [949]	Speed: 1044.025623 samples/sec	rmse=0.017272	lr=0.106318
Epoch[132] Batch [999]	Speed: 1045.112814 samples/sec	rmse=0.017274	lr=0.106205
Epoch[132] Batch [1049]	Speed: 1043.487769 samples/sec	rmse=0.017273	lr=0.106091
Epoch[132] Batch [1099]	Speed: 1044.990962 samples/sec	rmse=0.017280	lr=0.105977
Epoch[132] Batch [1149]	Speed: 1045.236230 samples/sec	rmse=0.017284	lr=0.105864
Epoch[132] Batch [1199]	Speed: 1042.132573 samples/sec	rmse=0.017292	lr=0.105750
Epoch[132] Batch [1249]	Speed: 1045.272653 samples/sec	rmse=0.017300	lr=0.105636
[Epoch 132] training: rmse=0.017300
[Epoch 132] speed: 1040 samples/sec	time cost: 1244.217025
[Epoch 132] validation: err-top1=0.268913 err-top5=0.082270
Epoch[133] Batch [49]	Speed: 1054.869787 samples/sec	rmse=0.017060	lr=0.105521
Epoch[133] Batch [99]	Speed: 1043.688551 samples/sec	rmse=0.017119	lr=0.105407
Epoch[133] Batch [149]	Speed: 1040.664496 samples/sec	rmse=0.017120	lr=0.105294
Epoch[133] Batch [199]	Speed: 1039.289763 samples/sec	rmse=0.017094	lr=0.105180
Epoch[133] Batch [249]	Speed: 1040.532521 samples/sec	rmse=0.017124	lr=0.105067
Epoch[133] Batch [299]	Speed: 1036.499991 samples/sec	rmse=0.017108	lr=0.104954
Epoch[133] Batch [349]	Speed: 1038.289838 samples/sec	rmse=0.017120	lr=0.104840
Epoch[133] Batch [399]	Speed: 1040.300884 samples/sec	rmse=0.017127	lr=0.104727
Epoch[133] Batch [449]	Speed: 1037.547418 samples/sec	rmse=0.017132	lr=0.104614
Epoch[133] Batch [499]	Speed: 1039.581136 samples/sec	rmse=0.017132	lr=0.104501
Epoch[133] Batch [549]	Speed: 1036.988930 samples/sec	rmse=0.017144	lr=0.104387
Epoch[133] Batch [599]	Speed: 1037.296765 samples/sec	rmse=0.017150	lr=0.104274
Epoch[133] Batch [649]	Speed: 1030.081026 samples/sec	rmse=0.017170	lr=0.104161
Epoch[133] Batch [699]	Speed: 1037.960768 samples/sec	rmse=0.017184	lr=0.104048
Epoch[133] Batch [749]	Speed: 1033.157323 samples/sec	rmse=0.017201	lr=0.103935
Epoch[133] Batch [799]	Speed: 1034.769208 samples/sec	rmse=0.017208	lr=0.103822
Epoch[133] Batch [849]	Speed: 1037.800750 samples/sec	rmse=0.017216	lr=0.103710
Epoch[133] Batch [899]	Speed: 1036.105449 samples/sec	rmse=0.017219	lr=0.103597
Epoch[133] Batch [949]	Speed: 1037.827608 samples/sec	rmse=0.017220	lr=0.103484
Epoch[133] Batch [999]	Speed: 1042.129306 samples/sec	rmse=0.017229	lr=0.103371
Epoch[133] Batch [1049]	Speed: 1042.016051 samples/sec	rmse=0.017234	lr=0.103258
Epoch[133] Batch [1099]	Speed: 1039.688139 samples/sec	rmse=0.017237	lr=0.103146
Epoch[133] Batch [1149]	Speed: 1034.177761 samples/sec	rmse=0.017242	lr=0.103033
Epoch[133] Batch [1199]	Speed: 1040.733509 samples/sec	rmse=0.017240	lr=0.102920
Epoch[133] Batch [1249]	Speed: 1045.201510 samples/sec	rmse=0.017243	lr=0.102808
[Epoch 133] training: rmse=0.017243
[Epoch 133] speed: 1038 samples/sec	time cost: 1246.616084
[Epoch 133] validation: err-top1=0.270813 err-top5=0.083293
Epoch[134] Batch [49]	Speed: 1051.783184 samples/sec	rmse=0.016902	lr=0.102693
Epoch[134] Batch [99]	Speed: 1042.776361 samples/sec	rmse=0.017017	lr=0.102581
Epoch[134] Batch [149]	Speed: 1042.355297 samples/sec	rmse=0.017029	lr=0.102468
Epoch[134] Batch [199]	Speed: 1036.272050 samples/sec	rmse=0.017015	lr=0.102356
Epoch[134] Batch [249]	Speed: 1039.569601 samples/sec	rmse=0.017031	lr=0.102243
Epoch[134] Batch [299]	Speed: 1040.569292 samples/sec	rmse=0.017033	lr=0.102131
Epoch[134] Batch [349]	Speed: 1040.483472 samples/sec	rmse=0.017051	lr=0.102019
Epoch[134] Batch [399]	Speed: 1044.798563 samples/sec	rmse=0.017073	lr=0.101906
Epoch[134] Batch [449]	Speed: 1039.431872 samples/sec	rmse=0.017092	lr=0.101794
Epoch[134] Batch [499]	Speed: 1043.397422 samples/sec	rmse=0.017098	lr=0.101682
Epoch[134] Batch [549]	Speed: 1045.987370 samples/sec	rmse=0.017106	lr=0.101570
Epoch[134] Batch [599]	Speed: 1042.890819 samples/sec	rmse=0.017108	lr=0.101458
Epoch[134] Batch [649]	Speed: 1043.864105 samples/sec	rmse=0.017115	lr=0.101346
Epoch[134] Batch [699]	Speed: 1046.237368 samples/sec	rmse=0.017113	lr=0.101234
Epoch[134] Batch [749]	Speed: 1043.763983 samples/sec	rmse=0.017118	lr=0.101122
Epoch[134] Batch [799]	Speed: 1040.237017 samples/sec	rmse=0.017120	lr=0.101010
Epoch[134] Batch [849]	Speed: 1044.575521 samples/sec	rmse=0.017129	lr=0.100898
Epoch[134] Batch [899]	Speed: 1041.677678 samples/sec	rmse=0.017132	lr=0.100786
Epoch[134] Batch [949]	Speed: 1041.246625 samples/sec	rmse=0.017140	lr=0.100674
Epoch[134] Batch [999]	Speed: 1040.270441 samples/sec	rmse=0.017146	lr=0.100563
Epoch[134] Batch [1049]	Speed: 1040.665988 samples/sec	rmse=0.017152	lr=0.100451
Epoch[134] Batch [1099]	Speed: 1041.500302 samples/sec	rmse=0.017159	lr=0.100339
Epoch[134] Batch [1149]	Speed: 1032.299287 samples/sec	rmse=0.017164	lr=0.100228
Epoch[134] Batch [1199]	Speed: 1038.580042 samples/sec	rmse=0.017169	lr=0.100116
Epoch[134] Batch [1249]	Speed: 1046.396190 samples/sec	rmse=0.017174	lr=0.100004
[Epoch 134] training: rmse=0.017174
[Epoch 134] speed: 1041 samples/sec	time cost: 1243.875571
[Epoch 134] validation: err-top1=0.254923 err-top5=0.074139
Epoch[135] Batch [49]	Speed: 1052.640297 samples/sec	rmse=0.017036	lr=0.099891
Epoch[135] Batch [99]	Speed: 1029.932482 samples/sec	rmse=0.017002	lr=0.099779
Epoch[135] Batch [149]	Speed: 1038.813979 samples/sec	rmse=0.017003	lr=0.099668
Epoch[135] Batch [199]	Speed: 1038.504931 samples/sec	rmse=0.017011	lr=0.099556
Epoch[135] Batch [249]	Speed: 1044.232183 samples/sec	rmse=0.017018	lr=0.099445
Epoch[135] Batch [299]	Speed: 1035.349222 samples/sec	rmse=0.017026	lr=0.099334
Epoch[135] Batch [349]	Speed: 1036.019099 samples/sec	rmse=0.017014	lr=0.099223
Epoch[135] Batch [399]	Speed: 1040.992285 samples/sec	rmse=0.017039	lr=0.099111
Epoch[135] Batch [449]	Speed: 1041.954572 samples/sec	rmse=0.017055	lr=0.099000
Epoch[135] Batch [499]	Speed: 1042.193886 samples/sec	rmse=0.017058	lr=0.098889
Epoch[135] Batch [549]	Speed: 1038.335728 samples/sec	rmse=0.017061	lr=0.098778
Epoch[135] Batch [599]	Speed: 1045.143383 samples/sec	rmse=0.017071	lr=0.098667
Epoch[135] Batch [649]	Speed: 1040.473470 samples/sec	rmse=0.017080	lr=0.098556
Epoch[135] Batch [699]	Speed: 1042.481636 samples/sec	rmse=0.017077	lr=0.098445
Epoch[135] Batch [749]	Speed: 1041.297655 samples/sec	rmse=0.017083	lr=0.098334
Epoch[135] Batch [799]	Speed: 1040.039984 samples/sec	rmse=0.017086	lr=0.098223
Epoch[135] Batch [849]	Speed: 1043.579111 samples/sec	rmse=0.017096	lr=0.098112
Epoch[135] Batch [899]	Speed: 1042.706687 samples/sec	rmse=0.017108	lr=0.098001
Epoch[135] Batch [949]	Speed: 1038.270125 samples/sec	rmse=0.017120	lr=0.097891
Epoch[135] Batch [999]	Speed: 1037.882947 samples/sec	rmse=0.017120	lr=0.097780
Epoch[135] Batch [1049]	Speed: 1043.995536 samples/sec	rmse=0.017128	lr=0.097669
Epoch[135] Batch [1099]	Speed: 1042.135673 samples/sec	rmse=0.017133	lr=0.097559
Epoch[135] Batch [1149]	Speed: 1041.091003 samples/sec	rmse=0.017140	lr=0.097448
Epoch[135] Batch [1199]	Speed: 1041.614870 samples/sec	rmse=0.017143	lr=0.097338
Epoch[135] Batch [1249]	Speed: 1047.662855 samples/sec	rmse=0.017149	lr=0.097227
[Epoch 135] training: rmse=0.017149
[Epoch 135] speed: 1040 samples/sec	time cost: 1244.622531
[Epoch 135] validation: err-top1=0.261958 err-top5=0.078842
Epoch[136] Batch [49]	Speed: 1057.619879 samples/sec	rmse=0.016875	lr=0.097114
Epoch[136] Batch [99]	Speed: 1041.523235 samples/sec	rmse=0.016889	lr=0.097004
Epoch[136] Batch [149]	Speed: 1040.857008 samples/sec	rmse=0.016875	lr=0.096894
Epoch[136] Batch [199]	Speed: 1041.013666 samples/sec	rmse=0.016876	lr=0.096783
Epoch[136] Batch [249]	Speed: 1040.694054 samples/sec	rmse=0.016917	lr=0.096673
Epoch[136] Batch [299]	Speed: 1033.251090 samples/sec	rmse=0.016943	lr=0.096563
Epoch[136] Batch [349]	Speed: 1038.081433 samples/sec	rmse=0.016948	lr=0.096453
Epoch[136] Batch [399]	Speed: 1038.699992 samples/sec	rmse=0.016957	lr=0.096342
Epoch[136] Batch [449]	Speed: 1039.126348 samples/sec	rmse=0.016981	lr=0.096232
Epoch[136] Batch [499]	Speed: 1040.842353 samples/sec	rmse=0.016994	lr=0.096122
Epoch[136] Batch [549]	Speed: 1039.504642 samples/sec	rmse=0.017003	lr=0.096012
Epoch[136] Batch [599]	Speed: 1039.007034 samples/sec	rmse=0.017019	lr=0.095902
Epoch[136] Batch [649]	Speed: 1037.520991 samples/sec	rmse=0.017033	lr=0.095792
Epoch[136] Batch [699]	Speed: 1037.767800 samples/sec	rmse=0.017051	lr=0.095682
Epoch[136] Batch [749]	Speed: 1034.841740 samples/sec	rmse=0.017060	lr=0.095572
Epoch[136] Batch [799]	Speed: 1040.444510 samples/sec	rmse=0.017064	lr=0.095463
Epoch[136] Batch [849]	Speed: 1033.375769 samples/sec	rmse=0.017070	lr=0.095353
Epoch[136] Batch [899]	Speed: 1041.046428 samples/sec	rmse=0.017076	lr=0.095243
Epoch[136] Batch [949]	Speed: 1044.637172 samples/sec	rmse=0.017088	lr=0.095134
Epoch[136] Batch [999]	Speed: 1041.526397 samples/sec	rmse=0.017098	lr=0.095024
Epoch[136] Batch [1049]	Speed: 1038.748873 samples/sec	rmse=0.017103	lr=0.094914
Epoch[136] Batch [1099]	Speed: 1038.322801 samples/sec	rmse=0.017106	lr=0.094805
Epoch[136] Batch [1149]	Speed: 1044.611907 samples/sec	rmse=0.017108	lr=0.094695
Epoch[136] Batch [1199]	Speed: 1040.486512 samples/sec	rmse=0.017114	lr=0.094586
Epoch[136] Batch [1249]	Speed: 1042.133281 samples/sec	rmse=0.017115	lr=0.094476
[Epoch 136] training: rmse=0.017115
[Epoch 136] speed: 1039 samples/sec	time cost: 1246.893075
[Epoch 136] validation: err-top1=0.261639 err-top5=0.080018
Epoch[137] Batch [49]	Speed: 1052.003121 samples/sec	rmse=0.016707	lr=0.094365
Epoch[137] Batch [99]	Speed: 1043.182102 samples/sec	rmse=0.016777	lr=0.094255
Epoch[137] Batch [149]	Speed: 1041.661938 samples/sec	rmse=0.016837	lr=0.094146
Epoch[137] Batch [199]	Speed: 1044.319668 samples/sec	rmse=0.016856	lr=0.094037
Epoch[137] Batch [249]	Speed: 1044.028019 samples/sec	rmse=0.016868	lr=0.093928
Epoch[137] Batch [299]	Speed: 1040.887385 samples/sec	rmse=0.016888	lr=0.093819
Epoch[137] Batch [349]	Speed: 1041.868721 samples/sec	rmse=0.016891	lr=0.093709
Epoch[137] Batch [399]	Speed: 1041.848118 samples/sec	rmse=0.016902	lr=0.093600
Epoch[137] Batch [449]	Speed: 1038.429379 samples/sec	rmse=0.016923	lr=0.093491
Epoch[137] Batch [499]	Speed: 1043.066318 samples/sec	rmse=0.016938	lr=0.093382
Epoch[137] Batch [549]	Speed: 1041.239850 samples/sec	rmse=0.016949	lr=0.093273
Epoch[137] Batch [599]	Speed: 1040.525634 samples/sec	rmse=0.016952	lr=0.093165
Epoch[137] Batch [649]	Speed: 1035.990496 samples/sec	rmse=0.016963	lr=0.093056
Epoch[137] Batch [699]	Speed: 1035.950875 samples/sec	rmse=0.016964	lr=0.092947
Epoch[137] Batch [749]	Speed: 1040.559540 samples/sec	rmse=0.016971	lr=0.092838
Epoch[137] Batch [799]	Speed: 1041.845394 samples/sec	rmse=0.016982	lr=0.092729
Epoch[137] Batch [849]	Speed: 1040.195770 samples/sec	rmse=0.016991	lr=0.092621
Epoch[137] Batch [899]	Speed: 1039.665050 samples/sec	rmse=0.016999	lr=0.092512
Epoch[137] Batch [949]	Speed: 1032.086994 samples/sec	rmse=0.017002	lr=0.092404
Epoch[137] Batch [999]	Speed: 1041.409243 samples/sec	rmse=0.017010	lr=0.092295
Epoch[137] Batch [1049]	Speed: 1034.778896 samples/sec	rmse=0.017018	lr=0.092187
Epoch[137] Batch [1099]	Speed: 1038.247275 samples/sec	rmse=0.017026	lr=0.092078
Epoch[137] Batch [1149]	Speed: 1038.731463 samples/sec	rmse=0.017034	lr=0.091970
Epoch[137] Batch [1199]	Speed: 1033.215436 samples/sec	rmse=0.017040	lr=0.091861
Epoch[137] Batch [1249]	Speed: 1046.501097 samples/sec	rmse=0.017045	lr=0.091753
[Epoch 137] training: rmse=0.017045
[Epoch 137] speed: 1039 samples/sec	time cost: 1245.372366
[Epoch 137] validation: err-top1=0.282645 err-top5=0.092654
Epoch[138] Batch [49]	Speed: 1054.367945 samples/sec	rmse=0.016678	lr=0.091643
Epoch[138] Batch [99]	Speed: 1040.963230 samples/sec	rmse=0.016746	lr=0.091534
Epoch[138] Batch [149]	Speed: 1033.766686 samples/sec	rmse=0.016758	lr=0.091426
Epoch[138] Batch [199]	Speed: 1036.967278 samples/sec	rmse=0.016788	lr=0.091318
Epoch[138] Batch [249]	Speed: 1028.178529 samples/sec	rmse=0.016812	lr=0.091210
Epoch[138] Batch [299]	Speed: 1039.756378 samples/sec	rmse=0.016831	lr=0.091102
Epoch[138] Batch [349]	Speed: 1037.492405 samples/sec	rmse=0.016840	lr=0.090994
Epoch[138] Batch [399]	Speed: 1039.308685 samples/sec	rmse=0.016854	lr=0.090886
Epoch[138] Batch [449]	Speed: 1040.705411 samples/sec	rmse=0.016867	lr=0.090778
Epoch[138] Batch [499]	Speed: 1038.162189 samples/sec	rmse=0.016863	lr=0.090670
Epoch[138] Batch [549]	Speed: 1039.346280 samples/sec	rmse=0.016886	lr=0.090562
Epoch[138] Batch [599]	Speed: 1039.299461 samples/sec	rmse=0.016905	lr=0.090455
Epoch[138] Batch [649]	Speed: 1037.743604 samples/sec	rmse=0.016911	lr=0.090347
Epoch[138] Batch [699]	Speed: 1042.806930 samples/sec	rmse=0.016921	lr=0.090239
Epoch[138] Batch [749]	Speed: 1038.346512 samples/sec	rmse=0.016934	lr=0.090132
Epoch[138] Batch [799]	Speed: 1041.797116 samples/sec	rmse=0.016939	lr=0.090024
Epoch[138] Batch [849]	Speed: 1041.865238 samples/sec	rmse=0.016949	lr=0.089916
Epoch[138] Batch [899]	Speed: 1040.221941 samples/sec	rmse=0.016963	lr=0.089809
Epoch[138] Batch [949]	Speed: 1038.989661 samples/sec	rmse=0.016971	lr=0.089701
Epoch[138] Batch [999]	Speed: 1041.649079 samples/sec	rmse=0.016975	lr=0.089594
Epoch[138] Batch [1049]	Speed: 1039.665397 samples/sec	rmse=0.016985	lr=0.089487
Epoch[138] Batch [1099]	Speed: 1044.298222 samples/sec	rmse=0.016990	lr=0.089379
Epoch[138] Batch [1149]	Speed: 1042.412274 samples/sec	rmse=0.016999	lr=0.089272
Epoch[138] Batch [1199]	Speed: 1043.232789 samples/sec	rmse=0.017001	lr=0.089165
Epoch[138] Batch [1249]	Speed: 1043.363913 samples/sec	rmse=0.017001	lr=0.089058
[Epoch 138] training: rmse=0.017000
[Epoch 138] speed: 1039 samples/sec	time cost: 1245.824093
[Epoch 138] validation: err-top1=0.267379 err-top5=0.082131
Epoch[139] Batch [49]	Speed: 1045.770491 samples/sec	rmse=0.016666	lr=0.088948
Epoch[139] Batch [99]	Speed: 1034.708541 samples/sec	rmse=0.016686	lr=0.088841
Epoch[139] Batch [149]	Speed: 1032.100149 samples/sec	rmse=0.016730	lr=0.088734
Epoch[139] Batch [199]	Speed: 1038.073956 samples/sec	rmse=0.016747	lr=0.088627
Epoch[139] Batch [249]	Speed: 1033.371930 samples/sec	rmse=0.016780	lr=0.088520
Epoch[139] Batch [299]	Speed: 1039.680291 samples/sec	rmse=0.016780	lr=0.088414
Epoch[139] Batch [349]	Speed: 1038.921854 samples/sec	rmse=0.016793	lr=0.088307
Epoch[139] Batch [399]	Speed: 1035.103396 samples/sec	rmse=0.016804	lr=0.088200
Epoch[139] Batch [449]	Speed: 1038.285792 samples/sec	rmse=0.016804	lr=0.088093
Epoch[139] Batch [499]	Speed: 1035.867304 samples/sec	rmse=0.016808	lr=0.087986
Epoch[139] Batch [549]	Speed: 1040.349240 samples/sec	rmse=0.016812	lr=0.087880
Epoch[139] Batch [599]	Speed: 1035.584022 samples/sec	rmse=0.016819	lr=0.087773
Epoch[139] Batch [649]	Speed: 1041.222382 samples/sec	rmse=0.016826	lr=0.087667
Epoch[139] Batch [699]	Speed: 1037.848844 samples/sec	rmse=0.016838	lr=0.087560
Epoch[139] Batch [749]	Speed: 1042.320423 samples/sec	rmse=0.016848	lr=0.087454
Epoch[139] Batch [799]	Speed: 1039.816561 samples/sec	rmse=0.016856	lr=0.087347
Epoch[139] Batch [849]	Speed: 1036.877676 samples/sec	rmse=0.016862	lr=0.087241
Epoch[139] Batch [899]	Speed: 1029.865565 samples/sec	rmse=0.016869	lr=0.087134
Epoch[139] Batch [949]	Speed: 1038.995488 samples/sec	rmse=0.016874	lr=0.087028
Epoch[139] Batch [999]	Speed: 1036.259169 samples/sec	rmse=0.016875	lr=0.086922
Epoch[139] Batch [1049]	Speed: 1039.040339 samples/sec	rmse=0.016881	lr=0.086816
Epoch[139] Batch [1099]	Speed: 1038.530580 samples/sec	rmse=0.016898	lr=0.086709
Epoch[139] Batch [1149]	Speed: 1041.427945 samples/sec	rmse=0.016904	lr=0.086603
Epoch[139] Batch [1199]	Speed: 1030.495454 samples/sec	rmse=0.016908	lr=0.086497
Epoch[139] Batch [1249]	Speed: 1037.335798 samples/sec	rmse=0.016909	lr=0.086391
[Epoch 139] training: rmse=0.016910
[Epoch 139] speed: 1036 samples/sec	time cost: 1248.514208
[Epoch 139] validation: err-top1=0.261434 err-top5=0.078186
Epoch[140] Batch [49]	Speed: 1052.196733 samples/sec	rmse=0.016717	lr=0.086283
Epoch[140] Batch [99]	Speed: 1042.159508 samples/sec	rmse=0.016733	lr=0.086177
Epoch[140] Batch [149]	Speed: 1042.270270 samples/sec	rmse=0.016691	lr=0.086071
Epoch[140] Batch [199]	Speed: 1040.231066 samples/sec	rmse=0.016697	lr=0.085966
Epoch[140] Batch [249]	Speed: 1040.186988 samples/sec	rmse=0.016748	lr=0.085860
Epoch[140] Batch [299]	Speed: 1041.565092 samples/sec	rmse=0.016768	lr=0.085754
Epoch[140] Batch [349]	Speed: 1044.369826 samples/sec	rmse=0.016781	lr=0.085648
Epoch[140] Batch [399]	Speed: 1042.045337 samples/sec	rmse=0.016788	lr=0.085543
Epoch[140] Batch [449]	Speed: 1040.597251 samples/sec	rmse=0.016801	lr=0.085437
Epoch[140] Batch [499]	Speed: 1043.351940 samples/sec	rmse=0.016799	lr=0.085332
Epoch[140] Batch [549]	Speed: 1040.682338 samples/sec	rmse=0.016802	lr=0.085226
Epoch[140] Batch [599]	Speed: 1038.520856 samples/sec	rmse=0.016813	lr=0.085121
Epoch[140] Batch [649]	Speed: 1039.286876 samples/sec	rmse=0.016813	lr=0.085015
Epoch[140] Batch [699]	Speed: 1040.853689 samples/sec	rmse=0.016816	lr=0.084910
Epoch[140] Batch [749]	Speed: 1039.301372 samples/sec	rmse=0.016826	lr=0.084805
Epoch[140] Batch [799]	Speed: 1035.376906 samples/sec	rmse=0.016828	lr=0.084699
Epoch[140] Batch [849]	Speed: 1041.153309 samples/sec	rmse=0.016828	lr=0.084594
Epoch[140] Batch [899]	Speed: 1037.177666 samples/sec	rmse=0.016824	lr=0.084489
Epoch[140] Batch [949]	Speed: 1039.681439 samples/sec	rmse=0.016828	lr=0.084384
Epoch[140] Batch [999]	Speed: 1034.677173 samples/sec	rmse=0.016834	lr=0.084279
Epoch[140] Batch [1049]	Speed: 1037.966618 samples/sec	rmse=0.016843	lr=0.084174
Epoch[140] Batch [1099]	Speed: 1040.564981 samples/sec	rmse=0.016848	lr=0.084069
Epoch[140] Batch [1149]	Speed: 1037.065920 samples/sec	rmse=0.016849	lr=0.083964
Epoch[140] Batch [1199]	Speed: 1039.413343 samples/sec	rmse=0.016857	lr=0.083859
Epoch[140] Batch [1249]	Speed: 1037.807150 samples/sec	rmse=0.016860	lr=0.083754
[Epoch 140] training: rmse=0.016861
[Epoch 140] speed: 1039 samples/sec	time cost: 1245.578537
[Epoch 140] validation: err-top1=0.257254 err-top5=0.074757
Epoch[141] Batch [49]	Speed: 1049.512352 samples/sec	rmse=0.016634	lr=0.083647
Epoch[141] Batch [99]	Speed: 1040.837339 samples/sec	rmse=0.016646	lr=0.083543
Epoch[141] Batch [149]	Speed: 1040.286300 samples/sec	rmse=0.016692	lr=0.083438
Epoch[141] Batch [199]	Speed: 1042.232964 samples/sec	rmse=0.016684	lr=0.083333
Epoch[141] Batch [249]	Speed: 1038.410810 samples/sec	rmse=0.016665	lr=0.083229
Epoch[141] Batch [299]	Speed: 1043.131825 samples/sec	rmse=0.016673	lr=0.083124
Epoch[141] Batch [349]	Speed: 1041.149831 samples/sec	rmse=0.016682	lr=0.083020
Epoch[141] Batch [399]	Speed: 1038.904660 samples/sec	rmse=0.016684	lr=0.082915
Epoch[141] Batch [449]	Speed: 1038.783206 samples/sec	rmse=0.016701	lr=0.082811
Epoch[141] Batch [499]	Speed: 1035.096531 samples/sec	rmse=0.016713	lr=0.082707
Epoch[141] Batch [549]	Speed: 1039.961060 samples/sec	rmse=0.016714	lr=0.082602
Epoch[141] Batch [599]	Speed: 1039.281736 samples/sec	rmse=0.016730	lr=0.082498
Epoch[141] Batch [649]	Speed: 1036.596077 samples/sec	rmse=0.016733	lr=0.082394
Epoch[141] Batch [699]	Speed: 1039.742041 samples/sec	rmse=0.016740	lr=0.082290
Epoch[141] Batch [749]	Speed: 1039.347935 samples/sec	rmse=0.016751	lr=0.082186
Epoch[141] Batch [799]	Speed: 1042.350526 samples/sec	rmse=0.016759	lr=0.082082
Epoch[141] Batch [849]	Speed: 1041.581041 samples/sec	rmse=0.016765	lr=0.081978
Epoch[141] Batch [899]	Speed: 1045.384647 samples/sec	rmse=0.016766	lr=0.081874
Epoch[141] Batch [949]	Speed: 1044.340318 samples/sec	rmse=0.016762	lr=0.081770
Epoch[141] Batch [999]	Speed: 1040.568304 samples/sec	rmse=0.016772	lr=0.081666
Epoch[141] Batch [1049]	Speed: 1041.223382 samples/sec	rmse=0.016779	lr=0.081562
Epoch[141] Batch [1099]	Speed: 1043.060659 samples/sec	rmse=0.016787	lr=0.081458
Epoch[141] Batch [1149]	Speed: 1040.492814 samples/sec	rmse=0.016801	lr=0.081355
Epoch[141] Batch [1199]	Speed: 1042.028034 samples/sec	rmse=0.016809	lr=0.081251
Epoch[141] Batch [1249]	Speed: 1041.310480 samples/sec	rmse=0.016815	lr=0.081148
[Epoch 141] training: rmse=0.016814
[Epoch 141] speed: 1040 samples/sec	time cost: 1244.549552
[Epoch 141] validation: err-top1=0.249043 err-top5=0.070751
Epoch[142] Batch [49]	Speed: 1048.446587 samples/sec	rmse=0.016547	lr=0.081042
Epoch[142] Batch [99]	Speed: 1031.894915 samples/sec	rmse=0.016517	lr=0.080938
Epoch[142] Batch [149]	Speed: 1038.325045 samples/sec	rmse=0.016558	lr=0.080835
Epoch[142] Batch [199]	Speed: 1039.068508 samples/sec	rmse=0.016585	lr=0.080732
Epoch[142] Batch [249]	Speed: 1038.119581 samples/sec	rmse=0.016595	lr=0.080628
Epoch[142] Batch [299]	Speed: 1036.640732 samples/sec	rmse=0.016624	lr=0.080525
Epoch[142] Batch [349]	Speed: 1037.660445 samples/sec	rmse=0.016616	lr=0.080422
Epoch[142] Batch [399]	Speed: 1039.989868 samples/sec	rmse=0.016628	lr=0.080318
Epoch[142] Batch [449]	Speed: 1038.578475 samples/sec	rmse=0.016645	lr=0.080215
Epoch[142] Batch [499]	Speed: 1038.142997 samples/sec	rmse=0.016647	lr=0.080112
Epoch[142] Batch [549]	Speed: 1036.980973 samples/sec	rmse=0.016659	lr=0.080009
Epoch[142] Batch [599]	Speed: 1041.619078 samples/sec	rmse=0.016666	lr=0.079906
Epoch[142] Batch [649]	Speed: 1030.709828 samples/sec	rmse=0.016678	lr=0.079803
Epoch[142] Batch [699]	Speed: 1035.497819 samples/sec	rmse=0.016683	lr=0.079700
Epoch[142] Batch [749]	Speed: 1041.128646 samples/sec	rmse=0.016698	lr=0.079597
Epoch[142] Batch [799]	Speed: 1039.336064 samples/sec	rmse=0.016704	lr=0.079495
Epoch[142] Batch [849]	Speed: 1043.019598 samples/sec	rmse=0.016714	lr=0.079392
Epoch[142] Batch [899]	Speed: 1040.077531 samples/sec	rmse=0.016723	lr=0.079289
Epoch[142] Batch [949]	Speed: 1043.971073 samples/sec	rmse=0.016726	lr=0.079186
Epoch[142] Batch [999]	Speed: 1039.034583 samples/sec	rmse=0.016731	lr=0.079084
Epoch[142] Batch [1049]	Speed: 1038.331521 samples/sec	rmse=0.016741	lr=0.078981
Epoch[142] Batch [1099]	Speed: 1039.750523 samples/sec	rmse=0.016748	lr=0.078879
Epoch[142] Batch [1149]	Speed: 1041.117163 samples/sec	rmse=0.016751	lr=0.078776
Epoch[142] Batch [1199]	Speed: 1039.039640 samples/sec	rmse=0.016756	lr=0.078674
Epoch[142] Batch [1249]	Speed: 1044.561787 samples/sec	rmse=0.016755	lr=0.078572
[Epoch 142] training: rmse=0.016755
[Epoch 142] speed: 1038 samples/sec	time cost: 1246.764039
[Epoch 142] validation: err-top1=0.245416 err-top5=0.070552
Epoch[143] Batch [49]	Speed: 1051.419057 samples/sec	rmse=0.016477	lr=0.078467
Epoch[143] Batch [99]	Speed: 1042.606573 samples/sec	rmse=0.016466	lr=0.078365
Epoch[143] Batch [149]	Speed: 1043.056287 samples/sec	rmse=0.016476	lr=0.078263
Epoch[143] Batch [199]	Speed: 1045.137533 samples/sec	rmse=0.016487	lr=0.078161
Epoch[143] Batch [249]	Speed: 1042.310250 samples/sec	rmse=0.016498	lr=0.078059
Epoch[143] Batch [299]	Speed: 1043.426218 samples/sec	rmse=0.016555	lr=0.077956
Epoch[143] Batch [349]	Speed: 1040.794662 samples/sec	rmse=0.016550	lr=0.077854
Epoch[143] Batch [399]	Speed: 1040.054556 samples/sec	rmse=0.016566	lr=0.077753
Epoch[143] Batch [449]	Speed: 1040.851283 samples/sec	rmse=0.016583	lr=0.077651
Epoch[143] Batch [499]	Speed: 1044.625871 samples/sec	rmse=0.016586	lr=0.077549
Epoch[143] Batch [549]	Speed: 1043.112186 samples/sec	rmse=0.016585	lr=0.077447
Epoch[143] Batch [599]	Speed: 1041.072066 samples/sec	rmse=0.016600	lr=0.077345
Epoch[143] Batch [649]	Speed: 1033.947511 samples/sec	rmse=0.016604	lr=0.077244
Epoch[143] Batch [699]	Speed: 1040.445881 samples/sec	rmse=0.016612	lr=0.077142
Epoch[143] Batch [749]	Speed: 1037.451270 samples/sec	rmse=0.016622	lr=0.077040
Epoch[143] Batch [799]	Speed: 1039.167591 samples/sec	rmse=0.016633	lr=0.076939
Epoch[143] Batch [849]	Speed: 1033.658785 samples/sec	rmse=0.016635	lr=0.076837
Epoch[143] Batch [899]	Speed: 1041.351896 samples/sec	rmse=0.016638	lr=0.076736
Epoch[143] Batch [949]	Speed: 1035.876103 samples/sec	rmse=0.016643	lr=0.076634
Epoch[143] Batch [999]	Speed: 1038.332184 samples/sec	rmse=0.016651	lr=0.076533
Epoch[143] Batch [1049]	Speed: 1034.330731 samples/sec	rmse=0.016656	lr=0.076432
Epoch[143] Batch [1099]	Speed: 1039.704372 samples/sec	rmse=0.016662	lr=0.076331
Epoch[143] Batch [1149]	Speed: 1038.922261 samples/sec	rmse=0.016660	lr=0.076229
Epoch[143] Batch [1199]	Speed: 1039.628887 samples/sec	rmse=0.016670	lr=0.076128
Epoch[143] Batch [1249]	Speed: 1036.752050 samples/sec	rmse=0.016675	lr=0.076027
[Epoch 143] training: rmse=0.016675
[Epoch 143] speed: 1039 samples/sec	time cost: 1246.539433
[Epoch 143] validation: err-top1=0.259865 err-top5=0.077009
Epoch[144] Batch [49]	Speed: 1051.522744 samples/sec	rmse=0.016388	lr=0.075924
Epoch[144] Batch [99]	Speed: 1043.863999 samples/sec	rmse=0.016390	lr=0.075823
Epoch[144] Batch [149]	Speed: 1038.299170 samples/sec	rmse=0.016398	lr=0.075722
Epoch[144] Batch [199]	Speed: 1046.081081 samples/sec	rmse=0.016394	lr=0.075621
Epoch[144] Batch [249]	Speed: 1039.979332 samples/sec	rmse=0.016434	lr=0.075521
Epoch[144] Batch [299]	Speed: 1040.600271 samples/sec	rmse=0.016464	lr=0.075420
Epoch[144] Batch [349]	Speed: 1039.889863 samples/sec	rmse=0.016476	lr=0.075319
Epoch[144] Batch [399]	Speed: 1039.532453 samples/sec	rmse=0.016501	lr=0.075218
Epoch[144] Batch [449]	Speed: 1039.727785 samples/sec	rmse=0.016518	lr=0.075118
Epoch[144] Batch [499]	Speed: 1042.024338 samples/sec	rmse=0.016528	lr=0.075017
Epoch[144] Batch [549]	Speed: 1041.145283 samples/sec	rmse=0.016545	lr=0.074917
Epoch[144] Batch [599]	Speed: 1036.496089 samples/sec	rmse=0.016548	lr=0.074816
Epoch[144] Batch [649]	Speed: 1043.225820 samples/sec	rmse=0.016551	lr=0.074716
Epoch[144] Batch [699]	Speed: 1039.608529 samples/sec	rmse=0.016556	lr=0.074615
Epoch[144] Batch [749]	Speed: 1042.982137 samples/sec	rmse=0.016567	lr=0.074515
Epoch[144] Batch [799]	Speed: 1041.606458 samples/sec	rmse=0.016580	lr=0.074415
Epoch[144] Batch [849]	Speed: 1042.379461 samples/sec	rmse=0.016583	lr=0.074315
Epoch[144] Batch [899]	Speed: 1039.598232 samples/sec	rmse=0.016584	lr=0.074215
Epoch[144] Batch [949]	Speed: 1044.945122 samples/sec	rmse=0.016588	lr=0.074114
Epoch[144] Batch [999]	Speed: 1041.470840 samples/sec	rmse=0.016598	lr=0.074014
Epoch[144] Batch [1049]	Speed: 1042.574032 samples/sec	rmse=0.016603	lr=0.073914
Epoch[144] Batch [1099]	Speed: 1041.159164 samples/sec	rmse=0.016609	lr=0.073814
Epoch[144] Batch [1149]	Speed: 1042.429893 samples/sec	rmse=0.016616	lr=0.073715
Epoch[144] Batch [1199]	Speed: 1040.514497 samples/sec	rmse=0.016619	lr=0.073615
Epoch[144] Batch [1249]	Speed: 1044.826547 samples/sec	rmse=0.016619	lr=0.073515
[Epoch 144] training: rmse=0.016619
[Epoch 144] speed: 1041 samples/sec	time cost: 1243.721705
[Epoch 144] validation: err-top1=0.247887 err-top5=0.072046
Epoch[145] Batch [49]	Speed: 1051.067276 samples/sec	rmse=0.016306	lr=0.073413
Epoch[145] Batch [99]	Speed: 1038.777382 samples/sec	rmse=0.016305	lr=0.073314
Epoch[145] Batch [149]	Speed: 1036.147707 samples/sec	rmse=0.016322	lr=0.073214
Epoch[145] Batch [199]	Speed: 1037.635988 samples/sec	rmse=0.016356	lr=0.073114
Epoch[145] Batch [249]	Speed: 1041.102142 samples/sec	rmse=0.016406	lr=0.073015
Epoch[145] Batch [299]	Speed: 1041.490927 samples/sec	rmse=0.016431	lr=0.072915
Epoch[145] Batch [349]	Speed: 1040.959617 samples/sec	rmse=0.016435	lr=0.072816
Epoch[145] Batch [399]	Speed: 1039.159515 samples/sec	rmse=0.016453	lr=0.072717
Epoch[145] Batch [449]	Speed: 1036.403342 samples/sec	rmse=0.016470	lr=0.072617
Epoch[145] Batch [499]	Speed: 1044.575068 samples/sec	rmse=0.016477	lr=0.072518
Epoch[145] Batch [549]	Speed: 1038.657199 samples/sec	rmse=0.016483	lr=0.072419
Epoch[145] Batch [599]	Speed: 1034.945056 samples/sec	rmse=0.016490	lr=0.072320
Epoch[145] Batch [649]	Speed: 1040.147318 samples/sec	rmse=0.016490	lr=0.072221
Epoch[145] Batch [699]	Speed: 1033.208233 samples/sec	rmse=0.016496	lr=0.072121
Epoch[145] Batch [749]	Speed: 1038.075110 samples/sec	rmse=0.016504	lr=0.072022
Epoch[145] Batch [799]	Speed: 1037.812852 samples/sec	rmse=0.016506	lr=0.071924
Epoch[145] Batch [849]	Speed: 1032.895526 samples/sec	rmse=0.016528	lr=0.071825
Epoch[145] Batch [899]	Speed: 1041.013151 samples/sec	rmse=0.016536	lr=0.071726
Epoch[145] Batch [949]	Speed: 1044.245913 samples/sec	rmse=0.016545	lr=0.071627
Epoch[145] Batch [999]	Speed: 1038.650015 samples/sec	rmse=0.016552	lr=0.071528
Epoch[145] Batch [1049]	Speed: 1042.766396 samples/sec	rmse=0.016559	lr=0.071430
Epoch[145] Batch [1099]	Speed: 1037.559996 samples/sec	rmse=0.016563	lr=0.071331
Epoch[145] Batch [1149]	Speed: 1039.023392 samples/sec	rmse=0.016568	lr=0.071232
Epoch[145] Batch [1199]	Speed: 1033.807579 samples/sec	rmse=0.016573	lr=0.071134
Epoch[145] Batch [1249]	Speed: 1041.806440 samples/sec	rmse=0.016580	lr=0.071035
[Epoch 145] training: rmse=0.016580
[Epoch 145] speed: 1038 samples/sec	time cost: 1246.741233
[Epoch 145] validation: err-top1=0.245300 err-top5=0.071330
Epoch[146] Batch [49]	Speed: 1051.774998 samples/sec	rmse=0.016310	lr=0.070935
Epoch[146] Batch [99]	Speed: 1042.986803 samples/sec	rmse=0.016341	lr=0.070837
Epoch[146] Batch [149]	Speed: 1040.287978 samples/sec	rmse=0.016339	lr=0.070738
Epoch[146] Batch [199]	Speed: 1040.234543 samples/sec	rmse=0.016351	lr=0.070640
Epoch[146] Batch [249]	Speed: 1042.271226 samples/sec	rmse=0.016371	lr=0.070542
Epoch[146] Batch [299]	Speed: 1043.402147 samples/sec	rmse=0.016395	lr=0.070444
Epoch[146] Batch [349]	Speed: 1041.981195 samples/sec	rmse=0.016407	lr=0.070346
Epoch[146] Batch [399]	Speed: 1039.528775 samples/sec	rmse=0.016406	lr=0.070248
Epoch[146] Batch [449]	Speed: 1041.309354 samples/sec	rmse=0.016423	lr=0.070150
Epoch[146] Batch [499]	Speed: 1040.750184 samples/sec	rmse=0.016431	lr=0.070052
Epoch[146] Batch [549]	Speed: 1040.052279 samples/sec	rmse=0.016436	lr=0.069954
Epoch[146] Batch [599]	Speed: 1040.159570 samples/sec	rmse=0.016450	lr=0.069856
Epoch[146] Batch [649]	Speed: 1039.675087 samples/sec	rmse=0.016454	lr=0.069758
Epoch[146] Batch [699]	Speed: 1039.031622 samples/sec	rmse=0.016461	lr=0.069661
Epoch[146] Batch [749]	Speed: 1034.320667 samples/sec	rmse=0.016466	lr=0.069563
Epoch[146] Batch [799]	Speed: 1039.833292 samples/sec	rmse=0.016466	lr=0.069465
Epoch[146] Batch [849]	Speed: 1041.979001 samples/sec	rmse=0.016477	lr=0.069368
Epoch[146] Batch [899]	Speed: 1037.001258 samples/sec	rmse=0.016484	lr=0.069270
Epoch[146] Batch [949]	Speed: 1032.580347 samples/sec	rmse=0.016486	lr=0.069173
Epoch[146] Batch [999]	Speed: 1034.265318 samples/sec	rmse=0.016491	lr=0.069076
Epoch[146] Batch [1049]	Speed: 1039.683946 samples/sec	rmse=0.016498	lr=0.068978
Epoch[146] Batch [1099]	Speed: 1033.787448 samples/sec	rmse=0.016506	lr=0.068881
Epoch[146] Batch [1149]	Speed: 1038.826818 samples/sec	rmse=0.016503	lr=0.068784
Epoch[146] Batch [1199]	Speed: 1032.863598 samples/sec	rmse=0.016507	lr=0.068687
Epoch[146] Batch [1249]	Speed: 1039.272089 samples/sec	rmse=0.016517	lr=0.068590
[Epoch 146] training: rmse=0.016516
[Epoch 146] speed: 1038 samples/sec	time cost: 1246.760935
[Epoch 146] validation: err-top1=0.240852 err-top5=0.067781
Epoch[147] Batch [49]	Speed: 1048.182865 samples/sec	rmse=0.016243	lr=0.068491
Epoch[147] Batch [99]	Speed: 1035.923065 samples/sec	rmse=0.016230	lr=0.068394
Epoch[147] Batch [149]	Speed: 1034.936901 samples/sec	rmse=0.016256	lr=0.068297
Epoch[147] Batch [199]	Speed: 1041.712554 samples/sec	rmse=0.016257	lr=0.068200
Epoch[147] Batch [249]	Speed: 1043.349410 samples/sec	rmse=0.016264	lr=0.068103
Epoch[147] Batch [299]	Speed: 1043.731749 samples/sec	rmse=0.016283	lr=0.068006
Epoch[147] Batch [349]	Speed: 1026.715488 samples/sec	rmse=0.016309	lr=0.067909
Epoch[147] Batch [399]	Speed: 1037.614104 samples/sec	rmse=0.016327	lr=0.067813
Epoch[147] Batch [449]	Speed: 1033.276962 samples/sec	rmse=0.016328	lr=0.067716
Epoch[147] Batch [499]	Speed: 1039.394140 samples/sec	rmse=0.016337	lr=0.067620
Epoch[147] Batch [549]	Speed: 1039.159626 samples/sec	rmse=0.016343	lr=0.067523
Epoch[147] Batch [599]	Speed: 1041.969769 samples/sec	rmse=0.016352	lr=0.067427
Epoch[147] Batch [649]	Speed: 1041.527857 samples/sec	rmse=0.016371	lr=0.067330
Epoch[147] Batch [699]	Speed: 1038.895664 samples/sec	rmse=0.016374	lr=0.067234
Epoch[147] Batch [749]	Speed: 1041.565931 samples/sec	rmse=0.016385	lr=0.067138
Epoch[147] Batch [799]	Speed: 1036.683839 samples/sec	rmse=0.016384	lr=0.067041
Epoch[147] Batch [849]	Speed: 1041.082221 samples/sec	rmse=0.016388	lr=0.066945
Epoch[147] Batch [899]	Speed: 1040.862185 samples/sec	rmse=0.016393	lr=0.066849
Epoch[147] Batch [949]	Speed: 1044.430310 samples/sec	rmse=0.016399	lr=0.066753
Epoch[147] Batch [999]	Speed: 1043.014887 samples/sec	rmse=0.016409	lr=0.066657
Epoch[147] Batch [1049]	Speed: 1039.674266 samples/sec	rmse=0.016411	lr=0.066561
Epoch[147] Batch [1099]	Speed: 1044.443340 samples/sec	rmse=0.016416	lr=0.066465
Epoch[147] Batch [1149]	Speed: 1041.959168 samples/sec	rmse=0.016421	lr=0.066369
Epoch[147] Batch [1199]	Speed: 1044.509141 samples/sec	rmse=0.016425	lr=0.066273
Epoch[147] Batch [1249]	Speed: 1046.130761 samples/sec	rmse=0.016430	lr=0.066178
[Epoch 147] training: rmse=0.016430
[Epoch 147] speed: 1039 samples/sec	time cost: 1245.461770
[Epoch 147] validation: err-top1=0.238301 err-top5=0.066287
Epoch[148] Batch [49]	Speed: 1055.360224 samples/sec	rmse=0.016098	lr=0.066080
Epoch[148] Batch [99]	Speed: 1042.275106 samples/sec	rmse=0.016159	lr=0.065984
Epoch[148] Batch [149]	Speed: 1034.522312 samples/sec	rmse=0.016172	lr=0.065889
Epoch[148] Batch [199]	Speed: 1044.296897 samples/sec	rmse=0.016208	lr=0.065793
Epoch[148] Batch [249]	Speed: 1033.240258 samples/sec	rmse=0.016212	lr=0.065698
Epoch[148] Batch [299]	Speed: 1039.414465 samples/sec	rmse=0.016227	lr=0.065603
Epoch[148] Batch [349]	Speed: 1035.524683 samples/sec	rmse=0.016241	lr=0.065507
Epoch[148] Batch [399]	Speed: 1042.836975 samples/sec	rmse=0.016253	lr=0.065412
Epoch[148] Batch [449]	Speed: 1038.654099 samples/sec	rmse=0.016247	lr=0.065317
Epoch[148] Batch [499]	Speed: 1031.503093 samples/sec	rmse=0.016259	lr=0.065222
Epoch[148] Batch [549]	Speed: 1040.622554 samples/sec	rmse=0.016283	lr=0.065126
Epoch[148] Batch [599]	Speed: 1039.873553 samples/sec	rmse=0.016292	lr=0.065031
Epoch[148] Batch [649]	Speed: 1041.207530 samples/sec	rmse=0.016296	lr=0.064936
Epoch[148] Batch [699]	Speed: 1034.143537 samples/sec	rmse=0.016300	lr=0.064841
Epoch[148] Batch [749]	Speed: 1038.568344 samples/sec	rmse=0.016305	lr=0.064746
Epoch[148] Batch [799]	Speed: 1043.595202 samples/sec	rmse=0.016303	lr=0.064652
Epoch[148] Batch [849]	Speed: 1032.490677 samples/sec	rmse=0.016305	lr=0.064557
Epoch[148] Batch [899]	Speed: 1040.894493 samples/sec	rmse=0.016313	lr=0.064462
Epoch[148] Batch [949]	Speed: 1039.074199 samples/sec	rmse=0.016322	lr=0.064367
Epoch[148] Batch [999]	Speed: 1038.018937 samples/sec	rmse=0.016320	lr=0.064273
Epoch[148] Batch [1049]	Speed: 1036.536687 samples/sec	rmse=0.016329	lr=0.064178
Epoch[148] Batch [1099]	Speed: 1043.374037 samples/sec	rmse=0.016340	lr=0.064084
Epoch[148] Batch [1149]	Speed: 1039.068779 samples/sec	rmse=0.016349	lr=0.063989
Epoch[148] Batch [1199]	Speed: 1041.018829 samples/sec	rmse=0.016352	lr=0.063895
Epoch[148] Batch [1249]	Speed: 1044.499809 samples/sec	rmse=0.016360	lr=0.063801
[Epoch 148] training: rmse=0.016360
[Epoch 148] speed: 1038 samples/sec	time cost: 1246.448318
[Epoch 148] validation: err-top1=0.238381 err-top5=0.067144
Epoch[149] Batch [49]	Speed: 1053.536904 samples/sec	rmse=0.016102	lr=0.063704
Epoch[149] Batch [99]	Speed: 1042.985096 samples/sec	rmse=0.016107	lr=0.063610
Epoch[149] Batch [149]	Speed: 1042.384814 samples/sec	rmse=0.016078	lr=0.063516
Epoch[149] Batch [199]	Speed: 1037.886855 samples/sec	rmse=0.016119	lr=0.063422
Epoch[149] Batch [249]	Speed: 1034.733379 samples/sec	rmse=0.016147	lr=0.063328
Epoch[149] Batch [299]	Speed: 1045.028572 samples/sec	rmse=0.016155	lr=0.063234
Epoch[149] Batch [349]	Speed: 1043.370448 samples/sec	rmse=0.016175	lr=0.063140
Epoch[149] Batch [399]	Speed: 1041.684484 samples/sec	rmse=0.016189	lr=0.063046
Epoch[149] Batch [449]	Speed: 1040.680018 samples/sec	rmse=0.016193	lr=0.062952
Epoch[149] Batch [499]	Speed: 1043.581292 samples/sec	rmse=0.016207	lr=0.062858
Epoch[149] Batch [549]	Speed: 1042.519167 samples/sec	rmse=0.016210	lr=0.062765
Epoch[149] Batch [599]	Speed: 1043.393904 samples/sec	rmse=0.016226	lr=0.062671
Epoch[149] Batch [649]	Speed: 1042.934134 samples/sec	rmse=0.016241	lr=0.062578
Epoch[149] Batch [699]	Speed: 1041.814568 samples/sec	rmse=0.016242	lr=0.062484
Epoch[149] Batch [749]	Speed: 1040.687941 samples/sec	rmse=0.016250	lr=0.062391
Epoch[149] Batch [799]	Speed: 1043.136907 samples/sec	rmse=0.016254	lr=0.062297
Epoch[149] Batch [849]	Speed: 1043.072970 samples/sec	rmse=0.016265	lr=0.062204
Epoch[149] Batch [899]	Speed: 1044.433790 samples/sec	rmse=0.016269	lr=0.062110
Epoch[149] Batch [949]	Speed: 1042.484748 samples/sec	rmse=0.016272	lr=0.062017
Epoch[149] Batch [999]	Speed: 1040.667148 samples/sec	rmse=0.016275	lr=0.061924
Epoch[149] Batch [1049]	Speed: 1041.472986 samples/sec	rmse=0.016289	lr=0.061831
Epoch[149] Batch [1099]	Speed: 1040.349482 samples/sec	rmse=0.016301	lr=0.061738
Epoch[149] Batch [1149]	Speed: 1036.892360 samples/sec	rmse=0.016305	lr=0.061645
Epoch[149] Batch [1199]	Speed: 1034.542836 samples/sec	rmse=0.016312	lr=0.061552
Epoch[149] Batch [1249]	Speed: 1046.088093 samples/sec	rmse=0.016317	lr=0.061459
[Epoch 149] training: rmse=0.016317
[Epoch 149] speed: 1041 samples/sec	time cost: 1243.755954
[Epoch 149] validation: err-top1=0.241689 err-top5=0.067622
Epoch[150] Batch [49]	Speed: 1049.954193 samples/sec	rmse=0.016144	lr=0.061364
Epoch[150] Batch [99]	Speed: 1037.620210 samples/sec	rmse=0.016104	lr=0.061271
Epoch[150] Batch [149]	Speed: 1032.521942 samples/sec	rmse=0.016075	lr=0.061179
Epoch[150] Batch [199]	Speed: 1039.908107 samples/sec	rmse=0.016115	lr=0.061086
Epoch[150] Batch [249]	Speed: 1040.123468 samples/sec	rmse=0.016109	lr=0.060993
Epoch[150] Batch [299]	Speed: 1027.282761 samples/sec	rmse=0.016126	lr=0.060901
Epoch[150] Batch [349]	Speed: 1036.698938 samples/sec	rmse=0.016130	lr=0.060808
Epoch[150] Batch [399]	Speed: 1044.185531 samples/sec	rmse=0.016146	lr=0.060716
Epoch[150] Batch [449]	Speed: 1043.659300 samples/sec	rmse=0.016157	lr=0.060623
Epoch[150] Batch [499]	Speed: 1040.999889 samples/sec	rmse=0.016153	lr=0.060531
Epoch[150] Batch [549]	Speed: 1040.020179 samples/sec	rmse=0.016164	lr=0.060439
Epoch[150] Batch [599]	Speed: 1042.195008 samples/sec	rmse=0.016169	lr=0.060347
Epoch[150] Batch [649]	Speed: 1034.854147 samples/sec	rmse=0.016176	lr=0.060254
Epoch[150] Batch [699]	Speed: 1038.586788 samples/sec	rmse=0.016190	lr=0.060162
Epoch[150] Batch [749]	Speed: 1036.948887 samples/sec	rmse=0.016190	lr=0.060070
Epoch[150] Batch [799]	Speed: 1041.004386 samples/sec	rmse=0.016198	lr=0.059978
Epoch[150] Batch [849]	Speed: 1040.235102 samples/sec	rmse=0.016206	lr=0.059886
Epoch[150] Batch [899]	Speed: 1040.178191 samples/sec	rmse=0.016221	lr=0.059794
Epoch[150] Batch [949]	Speed: 1039.536987 samples/sec	rmse=0.016224	lr=0.059703
Epoch[150] Batch [999]	Speed: 1039.405369 samples/sec	rmse=0.016227	lr=0.059611
Epoch[150] Batch [1049]	Speed: 1045.856676 samples/sec	rmse=0.016233	lr=0.059519
Epoch[150] Batch [1099]	Speed: 1040.951341 samples/sec	rmse=0.016237	lr=0.059428
Epoch[150] Batch [1149]	Speed: 1042.421013 samples/sec	rmse=0.016243	lr=0.059336
Epoch[150] Batch [1199]	Speed: 1043.241911 samples/sec	rmse=0.016250	lr=0.059245
Epoch[150] Batch [1249]	Speed: 1046.837748 samples/sec	rmse=0.016251	lr=0.059153
[Epoch 150] training: rmse=0.016250
[Epoch 150] speed: 1039 samples/sec	time cost: 1246.675606
[Epoch 150] validation: err-top1=0.240872 err-top5=0.067144
Epoch[151] Batch [49]	Speed: 1055.059495 samples/sec	rmse=0.015865	lr=0.059060
Epoch[151] Batch [99]	Speed: 1041.380958 samples/sec	rmse=0.015945	lr=0.058968
Epoch[151] Batch [149]	Speed: 1039.269967 samples/sec	rmse=0.015993	lr=0.058877
Epoch[151] Batch [199]	Speed: 1041.655158 samples/sec	rmse=0.016001	lr=0.058786
Epoch[151] Batch [249]	Speed: 1044.429406 samples/sec	rmse=0.016016	lr=0.058695
Epoch[151] Batch [299]	Speed: 1038.512434 samples/sec	rmse=0.016031	lr=0.058604
Epoch[151] Batch [349]	Speed: 1037.292982 samples/sec	rmse=0.016043	lr=0.058513
Epoch[151] Batch [399]	Speed: 1038.702780 samples/sec	rmse=0.016063	lr=0.058422
Epoch[151] Batch [449]	Speed: 1041.309813 samples/sec	rmse=0.016058	lr=0.058331
Epoch[151] Batch [499]	Speed: 1039.049484 samples/sec	rmse=0.016058	lr=0.058240
Epoch[151] Batch [549]	Speed: 1038.701383 samples/sec	rmse=0.016075	lr=0.058149
Epoch[151] Batch [599]	Speed: 1036.860925 samples/sec	rmse=0.016084	lr=0.058058
Epoch[151] Batch [649]	Speed: 1039.834772 samples/sec	rmse=0.016087	lr=0.057968
Epoch[151] Batch [699]	Speed: 1039.913374 samples/sec	rmse=0.016091	lr=0.057877
Epoch[151] Batch [749]	Speed: 1029.475840 samples/sec	rmse=0.016097	lr=0.057786
Epoch[151] Batch [799]	Speed: 1041.159816 samples/sec	rmse=0.016102	lr=0.057696
Epoch[151] Batch [849]	Speed: 1036.165800 samples/sec	rmse=0.016111	lr=0.057605
Epoch[151] Batch [899]	Speed: 1030.739348 samples/sec	rmse=0.016118	lr=0.057515
Epoch[151] Batch [949]	Speed: 1038.937702 samples/sec	rmse=0.016125	lr=0.057425
Epoch[151] Batch [999]	Speed: 1035.919572 samples/sec	rmse=0.016138	lr=0.057334
Epoch[151] Batch [1049]	Speed: 1041.602178 samples/sec	rmse=0.016144	lr=0.057244
Epoch[151] Batch [1099]	Speed: 1040.270965 samples/sec	rmse=0.016157	lr=0.057154
Epoch[151] Batch [1149]	Speed: 1032.169207 samples/sec	rmse=0.016163	lr=0.057064
Epoch[151] Batch [1199]	Speed: 1038.336778 samples/sec	rmse=0.016172	lr=0.056974
Epoch[151] Batch [1249]	Speed: 1042.628436 samples/sec	rmse=0.016176	lr=0.056884
[Epoch 151] training: rmse=0.016176
[Epoch 151] speed: 1038 samples/sec	time cost: 1246.715813
[Epoch 151] validation: err-top1=0.231547 err-top5=0.063273
Epoch[152] Batch [49]	Speed: 1050.143960 samples/sec	rmse=0.015753	lr=0.056792
Epoch[152] Batch [99]	Speed: 1040.710737 samples/sec	rmse=0.015869	lr=0.056702
Epoch[152] Batch [149]	Speed: 1036.621367 samples/sec	rmse=0.015914	lr=0.056612
Epoch[152] Batch [199]	Speed: 1035.672751 samples/sec	rmse=0.015901	lr=0.056523
Epoch[152] Batch [249]	Speed: 1034.681760 samples/sec	rmse=0.015900	lr=0.056433
Epoch[152] Batch [299]	Speed: 1037.387943 samples/sec	rmse=0.015955	lr=0.056343
Epoch[152] Batch [349]	Speed: 1040.115327 samples/sec	rmse=0.015986	lr=0.056254
Epoch[152] Batch [399]	Speed: 1038.849910 samples/sec	rmse=0.015988	lr=0.056164
Epoch[152] Batch [449]	Speed: 1039.118545 samples/sec	rmse=0.015981	lr=0.056075
Epoch[152] Batch [499]	Speed: 1037.679028 samples/sec	rmse=0.015989	lr=0.055985
Epoch[152] Batch [549]	Speed: 1041.041023 samples/sec	rmse=0.016013	lr=0.055896
Epoch[152] Batch [599]	Speed: 1040.864046 samples/sec	rmse=0.016030	lr=0.055807
Epoch[152] Batch [649]	Speed: 1039.178437 samples/sec	rmse=0.016032	lr=0.055718
Epoch[152] Batch [699]	Speed: 1041.759460 samples/sec	rmse=0.016042	lr=0.055628
Epoch[152] Batch [749]	Speed: 1042.125341 samples/sec	rmse=0.016041	lr=0.055539
Epoch[152] Batch [799]	Speed: 1040.268486 samples/sec	rmse=0.016040	lr=0.055450
Epoch[152] Batch [849]	Speed: 1041.120969 samples/sec	rmse=0.016044	lr=0.055361
Epoch[152] Batch [899]	Speed: 1037.441106 samples/sec	rmse=0.016055	lr=0.055272
Epoch[152] Batch [949]	Speed: 1038.176598 samples/sec	rmse=0.016067	lr=0.055184
Epoch[152] Batch [999]	Speed: 1036.001212 samples/sec	rmse=0.016067	lr=0.055095
Epoch[152] Batch [1049]	Speed: 1026.876957 samples/sec	rmse=0.016069	lr=0.055006
Epoch[152] Batch [1099]	Speed: 1033.400717 samples/sec	rmse=0.016076	lr=0.054917
Epoch[152] Batch [1149]	Speed: 1030.374450 samples/sec	rmse=0.016083	lr=0.054829
Epoch[152] Batch [1199]	Speed: 1033.829697 samples/sec	rmse=0.016091	lr=0.054740
Epoch[152] Batch [1249]	Speed: 1044.793124 samples/sec	rmse=0.016096	lr=0.054652
[Epoch 152] training: rmse=0.016095
[Epoch 152] speed: 1037 samples/sec	time cost: 1247.776104
[Epoch 152] validation: err-top1=0.234196 err-top5=0.065848
Epoch[153] Batch [49]	Speed: 1047.412431 samples/sec	rmse=0.015624	lr=0.054562
Epoch[153] Batch [99]	Speed: 1041.283871 samples/sec	rmse=0.015763	lr=0.054473
Epoch[153] Batch [149]	Speed: 1041.045631 samples/sec	rmse=0.015793	lr=0.054385
Epoch[153] Batch [199]	Speed: 1036.001067 samples/sec	rmse=0.015815	lr=0.054297
Epoch[153] Batch [249]	Speed: 1030.713677 samples/sec	rmse=0.015818	lr=0.054208
Epoch[153] Batch [299]	Speed: 1033.783910 samples/sec	rmse=0.015860	lr=0.054120
Epoch[153] Batch [349]	Speed: 1039.773414 samples/sec	rmse=0.015847	lr=0.054032
Epoch[153] Batch [399]	Speed: 1037.632393 samples/sec	rmse=0.015838	lr=0.053944
Epoch[153] Batch [449]	Speed: 1032.515236 samples/sec	rmse=0.015854	lr=0.053856
Epoch[153] Batch [499]	Speed: 1033.729519 samples/sec	rmse=0.015859	lr=0.053768
Epoch[153] Batch [549]	Speed: 1044.859896 samples/sec	rmse=0.015881	lr=0.053681
Epoch[153] Batch [599]	Speed: 1043.547021 samples/sec	rmse=0.015892	lr=0.053593
Epoch[153] Batch [649]	Speed: 1039.741799 samples/sec	rmse=0.015904	lr=0.053505
Epoch[153] Batch [699]	Speed: 1042.263593 samples/sec	rmse=0.015912	lr=0.053417
Epoch[153] Batch [749]	Speed: 1039.994345 samples/sec	rmse=0.015920	lr=0.053330
Epoch[153] Batch [799]	Speed: 1040.770244 samples/sec	rmse=0.015942	lr=0.053242
Epoch[153] Batch [849]	Speed: 1037.202623 samples/sec	rmse=0.015943	lr=0.053155
Epoch[153] Batch [899]	Speed: 1038.136694 samples/sec	rmse=0.015946	lr=0.053067
Epoch[153] Batch [949]	Speed: 1039.896203 samples/sec	rmse=0.015949	lr=0.052980
Epoch[153] Batch [999]	Speed: 1041.790086 samples/sec	rmse=0.015953	lr=0.052893
Epoch[153] Batch [1049]	Speed: 1039.825598 samples/sec	rmse=0.015961	lr=0.052806
Epoch[153] Batch [1099]	Speed: 1044.138239 samples/sec	rmse=0.015971	lr=0.052718
Epoch[153] Batch [1149]	Speed: 1041.005309 samples/sec	rmse=0.015982	lr=0.052631
Epoch[153] Batch [1199]	Speed: 1042.418544 samples/sec	rmse=0.015982	lr=0.052544
Epoch[153] Batch [1249]	Speed: 1043.680400 samples/sec	rmse=0.015991	lr=0.052457
[Epoch 153] training: rmse=0.015991
[Epoch 153] speed: 1038 samples/sec	time cost: 1246.159109
[Epoch 153] validation: err-top1=0.241211 err-top5=0.066426
Epoch[154] Batch [49]	Speed: 1052.760574 samples/sec	rmse=0.015712	lr=0.052369
Epoch[154] Batch [99]	Speed: 1041.897245 samples/sec	rmse=0.015782	lr=0.052282
Epoch[154] Batch [149]	Speed: 1043.484732 samples/sec	rmse=0.015790	lr=0.052195
Epoch[154] Batch [199]	Speed: 1039.617940 samples/sec	rmse=0.015790	lr=0.052108
Epoch[154] Batch [249]	Speed: 1041.936969 samples/sec	rmse=0.015816	lr=0.052022
Epoch[154] Batch [299]	Speed: 1046.152991 samples/sec	rmse=0.015803	lr=0.051935
Epoch[154] Batch [349]	Speed: 1040.817246 samples/sec	rmse=0.015815	lr=0.051849
Epoch[154] Batch [399]	Speed: 1043.170016 samples/sec	rmse=0.015837	lr=0.051762
Epoch[154] Batch [449]	Speed: 1036.055882 samples/sec	rmse=0.015853	lr=0.051676
Epoch[154] Batch [499]	Speed: 1033.905278 samples/sec	rmse=0.015872	lr=0.051589
Epoch[154] Batch [549]	Speed: 1044.081119 samples/sec	rmse=0.015880	lr=0.051503
Epoch[154] Batch [599]	Speed: 1039.745731 samples/sec	rmse=0.015881	lr=0.051417
Epoch[154] Batch [649]	Speed: 1039.171920 samples/sec	rmse=0.015884	lr=0.051331
Epoch[154] Batch [699]	Speed: 1037.736197 samples/sec	rmse=0.015897	lr=0.051244
Epoch[154] Batch [749]	Speed: 1040.397672 samples/sec	rmse=0.015906	lr=0.051158
Epoch[154] Batch [799]	Speed: 1033.277077 samples/sec	rmse=0.015920	lr=0.051072
Epoch[154] Batch [849]	Speed: 1039.473994 samples/sec	rmse=0.015929	lr=0.050986
Epoch[154] Batch [899]	Speed: 1038.501481 samples/sec	rmse=0.015931	lr=0.050901
Epoch[154] Batch [949]	Speed: 1040.098920 samples/sec	rmse=0.015936	lr=0.050815
Epoch[154] Batch [999]	Speed: 1035.716492 samples/sec	rmse=0.015941	lr=0.050729
Epoch[154] Batch [1049]	Speed: 1042.798681 samples/sec	rmse=0.015944	lr=0.050643
Epoch[154] Batch [1099]	Speed: 1040.424881 samples/sec	rmse=0.015944	lr=0.050558
Epoch[154] Batch [1149]	Speed: 1035.388168 samples/sec	rmse=0.015952	lr=0.050472
Epoch[154] Batch [1199]	Speed: 1037.309211 samples/sec	rmse=0.015958	lr=0.050387
Epoch[154] Batch [1249]	Speed: 1044.795575 samples/sec	rmse=0.015967	lr=0.050301
[Epoch 154] training: rmse=0.015967
[Epoch 154] speed: 1039 samples/sec	time cost: 1245.555946
[Epoch 154] validation: err-top1=0.233139 err-top5=0.066546
Epoch[155] Batch [49]	Speed: 1047.802509 samples/sec	rmse=0.015825	lr=0.050214
Epoch[155] Batch [99]	Speed: 1037.997588 samples/sec	rmse=0.015723	lr=0.050129
Epoch[155] Batch [149]	Speed: 1034.346249 samples/sec	rmse=0.015713	lr=0.050044
Epoch[155] Batch [199]	Speed: 1035.597915 samples/sec	rmse=0.015685	lr=0.049958
Epoch[155] Batch [249]	Speed: 1042.032312 samples/sec	rmse=0.015723	lr=0.049873
Epoch[155] Batch [299]	Speed: 1041.071577 samples/sec	rmse=0.015731	lr=0.049788
Epoch[155] Batch [349]	Speed: 1038.720138 samples/sec	rmse=0.015712	lr=0.049703
Epoch[155] Batch [399]	Speed: 1039.420296 samples/sec	rmse=0.015723	lr=0.049618
Epoch[155] Batch [449]	Speed: 1037.425905 samples/sec	rmse=0.015747	lr=0.049533
Epoch[155] Batch [499]	Speed: 1042.515184 samples/sec	rmse=0.015759	lr=0.049449
Epoch[155] Batch [549]	Speed: 1042.972498 samples/sec	rmse=0.015778	lr=0.049364
Epoch[155] Batch [599]	Speed: 1041.470047 samples/sec	rmse=0.015782	lr=0.049279
Epoch[155] Batch [649]	Speed: 1042.380817 samples/sec	rmse=0.015790	lr=0.049195
Epoch[155] Batch [699]	Speed: 1041.086859 samples/sec	rmse=0.015805	lr=0.049110
Epoch[155] Batch [749]	Speed: 1044.440912 samples/sec	rmse=0.015816	lr=0.049026
Epoch[155] Batch [799]	Speed: 1043.931301 samples/sec	rmse=0.015818	lr=0.048941
Epoch[155] Batch [849]	Speed: 1040.914342 samples/sec	rmse=0.015826	lr=0.048857
Epoch[155] Batch [899]	Speed: 1044.600591 samples/sec	rmse=0.015834	lr=0.048772
Epoch[155] Batch [949]	Speed: 1040.601794 samples/sec	rmse=0.015843	lr=0.048688
Epoch[155] Batch [999]	Speed: 1040.275097 samples/sec	rmse=0.015843	lr=0.048604
Epoch[155] Batch [1049]	Speed: 1042.250845 samples/sec	rmse=0.015851	lr=0.048520
Epoch[155] Batch [1099]	Speed: 1039.886741 samples/sec	rmse=0.015853	lr=0.048436
Epoch[155] Batch [1149]	Speed: 1033.379658 samples/sec	rmse=0.015859	lr=0.048352
Epoch[155] Batch [1199]	Speed: 1035.368694 samples/sec	rmse=0.015865	lr=0.048268
Epoch[155] Batch [1249]	Speed: 1036.434704 samples/sec	rmse=0.015874	lr=0.048184
[Epoch 155] training: rmse=0.015874
[Epoch 155] speed: 1039 samples/sec	time cost: 1245.724695
[Epoch 155] validation: err-top1=0.235232 err-top5=0.064732
Epoch[156] Batch [49]	Speed: 1051.208065 samples/sec	rmse=0.015639	lr=0.048099
Epoch[156] Batch [99]	Speed: 1043.423181 samples/sec	rmse=0.015614	lr=0.048015
Epoch[156] Batch [149]	Speed: 1036.484252 samples/sec	rmse=0.015596	lr=0.047931
Epoch[156] Batch [199]	Speed: 1039.632390 samples/sec	rmse=0.015627	lr=0.047848
Epoch[156] Batch [249]	Speed: 1029.830090 samples/sec	rmse=0.015654	lr=0.047764
Epoch[156] Batch [299]	Speed: 1039.526365 samples/sec	rmse=0.015675	lr=0.047680
Epoch[156] Batch [349]	Speed: 1038.743778 samples/sec	rmse=0.015699	lr=0.047597
Epoch[156] Batch [399]	Speed: 1034.065725 samples/sec	rmse=0.015703	lr=0.047514
Epoch[156] Batch [449]	Speed: 1039.882728 samples/sec	rmse=0.015700	lr=0.047430
Epoch[156] Batch [499]	Speed: 1037.184844 samples/sec	rmse=0.015716	lr=0.047347
Epoch[156] Batch [549]	Speed: 1040.744262 samples/sec	rmse=0.015723	lr=0.047264
Epoch[156] Batch [599]	Speed: 1041.940695 samples/sec	rmse=0.015719	lr=0.047181
Epoch[156] Batch [649]	Speed: 1042.768695 samples/sec	rmse=0.015723	lr=0.047098
Epoch[156] Batch [699]	Speed: 1037.997071 samples/sec	rmse=0.015731	lr=0.047015
Epoch[156] Batch [749]	Speed: 1038.372871 samples/sec	rmse=0.015728	lr=0.046932
Epoch[156] Batch [799]	Speed: 1032.496788 samples/sec	rmse=0.015726	lr=0.046849
Epoch[156] Batch [849]	Speed: 1040.845330 samples/sec	rmse=0.015728	lr=0.046766
Epoch[156] Batch [899]	Speed: 1036.769003 samples/sec	rmse=0.015741	lr=0.046684
Epoch[156] Batch [949]	Speed: 1037.635371 samples/sec	rmse=0.015744	lr=0.046601
Epoch[156] Batch [999]	Speed: 1038.528300 samples/sec	rmse=0.015748	lr=0.046518
Epoch[156] Batch [1049]	Speed: 1029.535658 samples/sec	rmse=0.015749	lr=0.046436
Epoch[156] Batch [1099]	Speed: 1040.011002 samples/sec	rmse=0.015757	lr=0.046353
Epoch[156] Batch [1149]	Speed: 1042.613609 samples/sec	rmse=0.015765	lr=0.046271
Epoch[156] Batch [1199]	Speed: 1042.353248 samples/sec	rmse=0.015772	lr=0.046189
Epoch[156] Batch [1249]	Speed: 1044.148200 samples/sec	rmse=0.015780	lr=0.046106
[Epoch 156] training: rmse=0.015780
[Epoch 156] speed: 1038 samples/sec	time cost: 1246.857968
[Epoch 156] validation: err-top1=0.230847 err-top5=0.062560
Epoch[157] Batch [49]	Speed: 1054.645335 samples/sec	rmse=0.015463	lr=0.046022
Epoch[157] Batch [99]	Speed: 1038.776614 samples/sec	rmse=0.015503	lr=0.045940
Epoch[157] Batch [149]	Speed: 1040.729403 samples/sec	rmse=0.015487	lr=0.045858
Epoch[157] Batch [199]	Speed: 1043.722268 samples/sec	rmse=0.015515	lr=0.045776
Epoch[157] Batch [249]	Speed: 1045.706709 samples/sec	rmse=0.015536	lr=0.045694
Epoch[157] Batch [299]	Speed: 1040.833126 samples/sec	rmse=0.015572	lr=0.045612
Epoch[157] Batch [349]	Speed: 1039.919453 samples/sec	rmse=0.015556	lr=0.045530
Epoch[157] Batch [399]	Speed: 1039.239614 samples/sec	rmse=0.015573	lr=0.045449
Epoch[157] Batch [449]	Speed: 1038.553487 samples/sec	rmse=0.015578	lr=0.045367
Epoch[157] Batch [499]	Speed: 1036.443183 samples/sec	rmse=0.015585	lr=0.045285
Epoch[157] Batch [549]	Speed: 1039.626053 samples/sec	rmse=0.015601	lr=0.045204
Epoch[157] Batch [599]	Speed: 1035.200961 samples/sec	rmse=0.015610	lr=0.045122
Epoch[157] Batch [649]	Speed: 1037.225617 samples/sec	rmse=0.015629	lr=0.045041
Epoch[157] Batch [699]	Speed: 1041.147413 samples/sec	rmse=0.015644	lr=0.044959
Epoch[157] Batch [749]	Speed: 1038.150897 samples/sec	rmse=0.015647	lr=0.044878
Epoch[157] Batch [799]	Speed: 1037.528425 samples/sec	rmse=0.015659	lr=0.044797
Epoch[157] Batch [849]	Speed: 1036.933410 samples/sec	rmse=0.015661	lr=0.044716
Epoch[157] Batch [899]	Speed: 1038.150159 samples/sec	rmse=0.015668	lr=0.044634
Epoch[157] Batch [949]	Speed: 1028.804980 samples/sec	rmse=0.015668	lr=0.044553
Epoch[157] Batch [999]	Speed: 1034.097335 samples/sec	rmse=0.015677	lr=0.044472
Epoch[157] Batch [1049]	Speed: 1034.297249 samples/sec	rmse=0.015684	lr=0.044391
Epoch[157] Batch [1099]	Speed: 1039.949175 samples/sec	rmse=0.015691	lr=0.044311
Epoch[157] Batch [1149]	Speed: 1043.060294 samples/sec	rmse=0.015699	lr=0.044230
Epoch[157] Batch [1199]	Speed: 1039.950207 samples/sec	rmse=0.015707	lr=0.044149
Epoch[157] Batch [1249]	Speed: 1046.279366 samples/sec	rmse=0.015711	lr=0.044068
[Epoch 157] training: rmse=0.015710
[Epoch 157] speed: 1038 samples/sec	time cost: 1247.188193
[Epoch 157] validation: err-top1=0.231262 err-top5=0.063090
Epoch[158] Batch [49]	Speed: 1057.442334 samples/sec	rmse=0.015328	lr=0.043986
Epoch[158] Batch [99]	Speed: 1034.159379 samples/sec	rmse=0.015359	lr=0.043906
Epoch[158] Batch [149]	Speed: 1039.109052 samples/sec	rmse=0.015387	lr=0.043825
Epoch[158] Batch [199]	Speed: 1039.542633 samples/sec	rmse=0.015406	lr=0.043745
Epoch[158] Batch [249]	Speed: 1039.924065 samples/sec	rmse=0.015412	lr=0.043664
Epoch[158] Batch [299]	Speed: 1040.725328 samples/sec	rmse=0.015434	lr=0.043584
Epoch[158] Batch [349]	Speed: 1039.015485 samples/sec	rmse=0.015454	lr=0.043504
Epoch[158] Batch [399]	Speed: 1040.456436 samples/sec	rmse=0.015468	lr=0.043424
Epoch[158] Batch [449]	Speed: 1038.743557 samples/sec	rmse=0.015475	lr=0.043344
Epoch[158] Batch [499]	Speed: 1036.582803 samples/sec	rmse=0.015491	lr=0.043264
Epoch[158] Batch [549]	Speed: 1042.393031 samples/sec	rmse=0.015489	lr=0.043184
Epoch[158] Batch [599]	Speed: 1041.474492 samples/sec	rmse=0.015499	lr=0.043104
Epoch[158] Batch [649]	Speed: 1039.319193 samples/sec	rmse=0.015501	lr=0.043024
Epoch[158] Batch [699]	Speed: 1038.614807 samples/sec	rmse=0.015505	lr=0.042944
Epoch[158] Batch [749]	Speed: 1044.442380 samples/sec	rmse=0.015520	lr=0.042864
Epoch[158] Batch [799]	Speed: 1040.390867 samples/sec	rmse=0.015519	lr=0.042785
Epoch[158] Batch [849]	Speed: 1044.259786 samples/sec	rmse=0.015534	lr=0.042705
Epoch[158] Batch [899]	Speed: 1040.736480 samples/sec	rmse=0.015551	lr=0.042626
Epoch[158] Batch [949]	Speed: 1044.486351 samples/sec	rmse=0.015563	lr=0.042546
Epoch[158] Batch [999]	Speed: 1043.112044 samples/sec	rmse=0.015577	lr=0.042467
Epoch[158] Batch [1049]	Speed: 1042.683216 samples/sec	rmse=0.015585	lr=0.042388
Epoch[158] Batch [1099]	Speed: 1039.592932 samples/sec	rmse=0.015592	lr=0.042308
Epoch[158] Batch [1149]	Speed: 1042.811847 samples/sec	rmse=0.015597	lr=0.042229
Epoch[158] Batch [1199]	Speed: 1039.195626 samples/sec	rmse=0.015599	lr=0.042150
Epoch[158] Batch [1249]	Speed: 1043.240553 samples/sec	rmse=0.015606	lr=0.042071
[Epoch 158] training: rmse=0.015606
[Epoch 158] speed: 1040 samples/sec	time cost: 1244.419968
[Epoch 158] validation: err-top1=0.226224 err-top5=0.060368
Epoch[159] Batch [49]	Speed: 1045.716369 samples/sec	rmse=0.015225	lr=0.041990
Epoch[159] Batch [99]	Speed: 1038.749742 samples/sec	rmse=0.015253	lr=0.041911
Epoch[159] Batch [149]	Speed: 1037.042588 samples/sec	rmse=0.015306	lr=0.041833
Epoch[159] Batch [199]	Speed: 1039.066809 samples/sec	rmse=0.015335	lr=0.041754
Epoch[159] Batch [249]	Speed: 1037.647881 samples/sec	rmse=0.015356	lr=0.041675
Epoch[159] Batch [299]	Speed: 1034.653430 samples/sec	rmse=0.015361	lr=0.041596
Epoch[159] Batch [349]	Speed: 1043.191659 samples/sec	rmse=0.015398	lr=0.041518
Epoch[159] Batch [399]	Speed: 1035.516444 samples/sec	rmse=0.015405	lr=0.041439
Epoch[159] Batch [449]	Speed: 1033.710471 samples/sec	rmse=0.015420	lr=0.041361
Epoch[159] Batch [499]	Speed: 1041.868630 samples/sec	rmse=0.015423	lr=0.041283
Epoch[159] Batch [549]	Speed: 1041.056078 samples/sec	rmse=0.015430	lr=0.041204
Epoch[159] Batch [599]	Speed: 1033.199693 samples/sec	rmse=0.015433	lr=0.041126
Epoch[159] Batch [649]	Speed: 1039.984278 samples/sec	rmse=0.015423	lr=0.041048
Epoch[159] Batch [699]	Speed: 1041.476956 samples/sec	rmse=0.015436	lr=0.040970
Epoch[159] Batch [749]	Speed: 1036.614576 samples/sec	rmse=0.015454	lr=0.040892
Epoch[159] Batch [799]	Speed: 1038.400401 samples/sec	rmse=0.015455	lr=0.040814
Epoch[159] Batch [849]	Speed: 1032.757926 samples/sec	rmse=0.015456	lr=0.040736
Epoch[159] Batch [899]	Speed: 1040.786223 samples/sec	rmse=0.015461	lr=0.040658
Epoch[159] Batch [949]	Speed: 1031.978421 samples/sec	rmse=0.015463	lr=0.040580
Epoch[159] Batch [999]	Speed: 1040.263361 samples/sec	rmse=0.015472	lr=0.040502
Epoch[159] Batch [1049]	Speed: 1042.181904 samples/sec	rmse=0.015482	lr=0.040425
Epoch[159] Batch [1099]	Speed: 1041.882030 samples/sec	rmse=0.015493	lr=0.040347
Epoch[159] Batch [1149]	Speed: 1042.046687 samples/sec	rmse=0.015504	lr=0.040269
Epoch[159] Batch [1199]	Speed: 1038.041456 samples/sec	rmse=0.015508	lr=0.040192
Epoch[159] Batch [1249]	Speed: 1037.764099 samples/sec	rmse=0.015513	lr=0.040115
[Epoch 159] training: rmse=0.015513
[Epoch 159] speed: 1037 samples/sec	time cost: 1247.430816
[Epoch 159] validation: err-top1=0.223254 err-top5=0.059291
Epoch[160] Batch [49]	Speed: 1054.932022 samples/sec	rmse=0.015308	lr=0.040036
Epoch[160] Batch [99]	Speed: 1042.109279 samples/sec	rmse=0.015265	lr=0.039958
Epoch[160] Batch [149]	Speed: 1046.110499 samples/sec	rmse=0.015347	lr=0.039881
Epoch[160] Batch [199]	Speed: 1041.805030 samples/sec	rmse=0.015321	lr=0.039804
Epoch[160] Batch [249]	Speed: 1040.654853 samples/sec	rmse=0.015350	lr=0.039727
Epoch[160] Batch [299]	Speed: 1041.721351 samples/sec	rmse=0.015334	lr=0.039650
Epoch[160] Batch [349]	Speed: 1043.779832 samples/sec	rmse=0.015349	lr=0.039573
Epoch[160] Batch [399]	Speed: 1040.397228 samples/sec	rmse=0.015346	lr=0.039496
Epoch[160] Batch [449]	Speed: 1039.828066 samples/sec	rmse=0.015345	lr=0.039419
Epoch[160] Batch [499]	Speed: 1038.178445 samples/sec	rmse=0.015349	lr=0.039343
Epoch[160] Batch [549]	Speed: 1037.750293 samples/sec	rmse=0.015348	lr=0.039266
Epoch[160] Batch [599]	Speed: 1041.241339 samples/sec	rmse=0.015351	lr=0.039189
Epoch[160] Batch [649]	Speed: 1025.945202 samples/sec	rmse=0.015360	lr=0.039113
Epoch[160] Batch [699]	Speed: 1040.419175 samples/sec	rmse=0.015373	lr=0.039036
Epoch[160] Batch [749]	Speed: 1036.252419 samples/sec	rmse=0.015372	lr=0.038960
Epoch[160] Batch [799]	Speed: 1038.805441 samples/sec	rmse=0.015387	lr=0.038884
Epoch[160] Batch [849]	Speed: 1037.877791 samples/sec	rmse=0.015392	lr=0.038807
Epoch[160] Batch [899]	Speed: 1033.467751 samples/sec	rmse=0.015394	lr=0.038731
Epoch[160] Batch [949]	Speed: 1039.056859 samples/sec	rmse=0.015403	lr=0.038655
Epoch[160] Batch [999]	Speed: 1039.754838 samples/sec	rmse=0.015414	lr=0.038579
Epoch[160] Batch [1049]	Speed: 1039.467101 samples/sec	rmse=0.015418	lr=0.038503
Epoch[160] Batch [1099]	Speed: 1038.093366 samples/sec	rmse=0.015423	lr=0.038427
Epoch[160] Batch [1149]	Speed: 1041.886448 samples/sec	rmse=0.015431	lr=0.038351
Epoch[160] Batch [1199]	Speed: 1041.570023 samples/sec	rmse=0.015430	lr=0.038275
Epoch[160] Batch [1249]	Speed: 1047.426700 samples/sec	rmse=0.015447	lr=0.038200
[Epoch 160] training: rmse=0.015447
[Epoch 160] speed: 1039 samples/sec	time cost: 1245.583555
[Epoch 160] validation: err-top1=0.229273 err-top5=0.062958
Epoch[161] Batch [49]	Speed: 1056.445659 samples/sec	rmse=0.015134	lr=0.038122
Epoch[161] Batch [99]	Speed: 1039.568912 samples/sec	rmse=0.015235	lr=0.038047
Epoch[161] Batch [149]	Speed: 1043.956117 samples/sec	rmse=0.015223	lr=0.037971
Epoch[161] Batch [199]	Speed: 1038.713537 samples/sec	rmse=0.015206	lr=0.037896
Epoch[161] Batch [249]	Speed: 1041.243223 samples/sec	rmse=0.015209	lr=0.037820
Epoch[161] Batch [299]	Speed: 1040.423666 samples/sec	rmse=0.015235	lr=0.037745
Epoch[161] Batch [349]	Speed: 1042.758259 samples/sec	rmse=0.015264	lr=0.037670
Epoch[161] Batch [399]	Speed: 1041.777860 samples/sec	rmse=0.015247	lr=0.037595
Epoch[161] Batch [449]	Speed: 1041.532701 samples/sec	rmse=0.015253	lr=0.037520
Epoch[161] Batch [499]	Speed: 1034.607346 samples/sec	rmse=0.015267	lr=0.037444
Epoch[161] Batch [549]	Speed: 1040.170856 samples/sec	rmse=0.015275	lr=0.037370
Epoch[161] Batch [599]	Speed: 1040.731315 samples/sec	rmse=0.015279	lr=0.037295
Epoch[161] Batch [649]	Speed: 1042.433127 samples/sec	rmse=0.015285	lr=0.037220
Epoch[161] Batch [699]	Speed: 1040.925508 samples/sec	rmse=0.015281	lr=0.037145
Epoch[161] Batch [749]	Speed: 1044.024004 samples/sec	rmse=0.015278	lr=0.037070
Epoch[161] Batch [799]	Speed: 1044.435766 samples/sec	rmse=0.015276	lr=0.036996
Epoch[161] Batch [849]	Speed: 1043.180242 samples/sec	rmse=0.015295	lr=0.036921
Epoch[161] Batch [899]	Speed: 1044.841106 samples/sec	rmse=0.015294	lr=0.036846
Epoch[161] Batch [949]	Speed: 1042.419879 samples/sec	rmse=0.015307	lr=0.036772
Epoch[161] Batch [999]	Speed: 1043.105680 samples/sec	rmse=0.015310	lr=0.036698
Epoch[161] Batch [1049]	Speed: 1040.064963 samples/sec	rmse=0.015313	lr=0.036623
Epoch[161] Batch [1099]	Speed: 1040.711700 samples/sec	rmse=0.015315	lr=0.036549
Epoch[161] Batch [1149]	Speed: 1039.825714 samples/sec	rmse=0.015319	lr=0.036475
Epoch[161] Batch [1199]	Speed: 1039.294662 samples/sec	rmse=0.015318	lr=0.036401
Epoch[161] Batch [1249]	Speed: 1035.603454 samples/sec	rmse=0.015327	lr=0.036327
[Epoch 161] training: rmse=0.015326
[Epoch 161] speed: 1040 samples/sec	time cost: 1243.933232
[Epoch 161] validation: err-top1=0.223154 err-top5=0.059849
Epoch[162] Batch [49]	Speed: 1045.705706 samples/sec	rmse=0.015058	lr=0.036251
Epoch[162] Batch [99]	Speed: 1040.092013 samples/sec	rmse=0.015032	lr=0.036177
Epoch[162] Batch [149]	Speed: 1034.549245 samples/sec	rmse=0.015024	lr=0.036104
Epoch[162] Batch [199]	Speed: 1040.550389 samples/sec	rmse=0.015034	lr=0.036030
Epoch[162] Batch [249]	Speed: 1036.050554 samples/sec	rmse=0.015011	lr=0.035956
Epoch[162] Batch [299]	Speed: 1040.400726 samples/sec	rmse=0.015038	lr=0.035882
Epoch[162] Batch [349]	Speed: 1046.312659 samples/sec	rmse=0.015071	lr=0.035809
Epoch[162] Batch [399]	Speed: 1034.774059 samples/sec	rmse=0.015117	lr=0.035735
Epoch[162] Batch [449]	Speed: 1029.786806 samples/sec	rmse=0.015136	lr=0.035662
Epoch[162] Batch [499]	Speed: 1045.212590 samples/sec	rmse=0.015161	lr=0.035589
Epoch[162] Batch [549]	Speed: 1035.941844 samples/sec	rmse=0.015154	lr=0.035515
Epoch[162] Batch [599]	Speed: 1036.773433 samples/sec	rmse=0.015162	lr=0.035442
Epoch[162] Batch [649]	Speed: 1038.123691 samples/sec	rmse=0.015172	lr=0.035369
Epoch[162] Batch [699]	Speed: 1040.889983 samples/sec	rmse=0.015179	lr=0.035296
Epoch[162] Batch [749]	Speed: 1043.653776 samples/sec	rmse=0.015200	lr=0.035223
Epoch[162] Batch [799]	Speed: 1035.725604 samples/sec	rmse=0.015200	lr=0.035150
Epoch[162] Batch [849]	Speed: 1042.842611 samples/sec	rmse=0.015197	lr=0.035077
Epoch[162] Batch [899]	Speed: 1040.012623 samples/sec	rmse=0.015191	lr=0.035004
Epoch[162] Batch [949]	Speed: 1036.019479 samples/sec	rmse=0.015195	lr=0.034931
Epoch[162] Batch [999]	Speed: 1043.652113 samples/sec	rmse=0.015203	lr=0.034859
Epoch[162] Batch [1049]	Speed: 1042.774371 samples/sec	rmse=0.015210	lr=0.034786
Epoch[162] Batch [1099]	Speed: 1041.053872 samples/sec	rmse=0.015214	lr=0.034713
Epoch[162] Batch [1149]	Speed: 1044.249422 samples/sec	rmse=0.015219	lr=0.034641
Epoch[162] Batch [1199]	Speed: 1033.407923 samples/sec	rmse=0.015227	lr=0.034569
Epoch[162] Batch [1249]	Speed: 1039.696353 samples/sec	rmse=0.015235	lr=0.034496
[Epoch 162] training: rmse=0.015236
[Epoch 162] speed: 1038 samples/sec	time cost: 1246.127683
[Epoch 162] validation: err-top1=0.217306 err-top5=0.056112
Epoch[163] Batch [49]	Speed: 1051.310140 samples/sec	rmse=0.014898	lr=0.034423
Epoch[163] Batch [99]	Speed: 1041.240072 samples/sec	rmse=0.014988	lr=0.034350
Epoch[163] Batch [149]	Speed: 1045.096970 samples/sec	rmse=0.014973	lr=0.034278
Epoch[163] Batch [199]	Speed: 1044.018736 samples/sec	rmse=0.014979	lr=0.034206
Epoch[163] Batch [249]	Speed: 1042.971708 samples/sec	rmse=0.014991	lr=0.034134
Epoch[163] Batch [299]	Speed: 1041.608564 samples/sec	rmse=0.015008	lr=0.034062
Epoch[163] Batch [349]	Speed: 1044.005108 samples/sec	rmse=0.015054	lr=0.033990
Epoch[163] Batch [399]	Speed: 1043.997282 samples/sec	rmse=0.015068	lr=0.033919
Epoch[163] Batch [449]	Speed: 1042.474273 samples/sec	rmse=0.015073	lr=0.033847
Epoch[163] Batch [499]	Speed: 1044.369176 samples/sec	rmse=0.015091	lr=0.033775
Epoch[163] Batch [549]	Speed: 1039.717994 samples/sec	rmse=0.015093	lr=0.033704
Epoch[163] Batch [599]	Speed: 1032.265802 samples/sec	rmse=0.015099	lr=0.033632
Epoch[163] Batch [649]	Speed: 1035.627286 samples/sec	rmse=0.015115	lr=0.033561
Epoch[163] Batch [699]	Speed: 1036.623348 samples/sec	rmse=0.015106	lr=0.033489
Epoch[163] Batch [749]	Speed: 1031.374244 samples/sec	rmse=0.015108	lr=0.033418
Epoch[163] Batch [799]	Speed: 1035.388457 samples/sec	rmse=0.015112	lr=0.033347
Epoch[163] Batch [849]	Speed: 1043.632900 samples/sec	rmse=0.015117	lr=0.033276
Epoch[163] Batch [899]	Speed: 1037.337948 samples/sec	rmse=0.015118	lr=0.033205
Epoch[163] Batch [949]	Speed: 1035.481867 samples/sec	rmse=0.015133	lr=0.033134
Epoch[163] Batch [999]	Speed: 1041.500105 samples/sec	rmse=0.015139	lr=0.033063
Epoch[163] Batch [1049]	Speed: 1034.028855 samples/sec	rmse=0.015152	lr=0.032992
Epoch[163] Batch [1099]	Speed: 1042.586792 samples/sec	rmse=0.015167	lr=0.032921
Epoch[163] Batch [1149]	Speed: 1040.393140 samples/sec	rmse=0.015166	lr=0.032850
Epoch[163] Batch [1199]	Speed: 1038.707201 samples/sec	rmse=0.015180	lr=0.032779
Epoch[163] Batch [1249]	Speed: 1042.051253 samples/sec	rmse=0.015188	lr=0.032709
[Epoch 163] training: rmse=0.015187
[Epoch 163] speed: 1039 samples/sec	time cost: 1245.330676
[Epoch 163] validation: err-top1=0.216677 err-top5=0.057199
Epoch[164] Batch [49]	Speed: 1057.061302 samples/sec	rmse=0.014863	lr=0.032637
Epoch[164] Batch [99]	Speed: 1041.270547 samples/sec	rmse=0.014837	lr=0.032566
Epoch[164] Batch [149]	Speed: 1041.862499 samples/sec	rmse=0.014997	lr=0.032496
Epoch[164] Batch [199]	Speed: 1040.664929 samples/sec	rmse=0.014986	lr=0.032426
Epoch[164] Batch [249]	Speed: 1043.564830 samples/sec	rmse=0.015014	lr=0.032355
Epoch[164] Batch [299]	Speed: 1041.200563 samples/sec	rmse=0.015006	lr=0.032285
Epoch[164] Batch [349]	Speed: 1040.652518 samples/sec	rmse=0.015024	lr=0.032215
Epoch[164] Batch [399]	Speed: 1043.794620 samples/sec	rmse=0.015022	lr=0.032145
Epoch[164] Batch [449]	Speed: 1040.963381 samples/sec	rmse=0.015027	lr=0.032075
Epoch[164] Batch [499]	Speed: 1032.260979 samples/sec	rmse=0.015027	lr=0.032005
Epoch[164] Batch [549]	Speed: 1042.967549 samples/sec	rmse=0.015029	lr=0.031935
Epoch[164] Batch [599]	Speed: 1042.829232 samples/sec	rmse=0.015025	lr=0.031865
Epoch[164] Batch [649]	Speed: 1044.041511 samples/sec	rmse=0.015033	lr=0.031796
Epoch[164] Batch [699]	Speed: 1045.159019 samples/sec	rmse=0.015026	lr=0.031726
Epoch[164] Batch [749]	Speed: 1044.844395 samples/sec	rmse=0.015043	lr=0.031657
Epoch[164] Batch [799]	Speed: 1045.387069 samples/sec	rmse=0.015045	lr=0.031587
Epoch[164] Batch [849]	Speed: 1043.294414 samples/sec	rmse=0.015046	lr=0.031518
Epoch[164] Batch [899]	Speed: 1043.346891 samples/sec	rmse=0.015049	lr=0.031448
Epoch[164] Batch [949]	Speed: 1046.565649 samples/sec	rmse=0.015060	lr=0.031379
Epoch[164] Batch [999]	Speed: 1042.980820 samples/sec	rmse=0.015069	lr=0.031310
Epoch[164] Batch [1049]	Speed: 1041.274030 samples/sec	rmse=0.015071	lr=0.031241
Epoch[164] Batch [1099]	Speed: 1042.940637 samples/sec	rmse=0.015072	lr=0.031172
Epoch[164] Batch [1149]	Speed: 1044.743277 samples/sec	rmse=0.015077	lr=0.031103
Epoch[164] Batch [1199]	Speed: 1046.225619 samples/sec	rmse=0.015079	lr=0.031034
Epoch[164] Batch [1249]	Speed: 1044.493794 samples/sec	rmse=0.015091	lr=0.030965
[Epoch 164] training: rmse=0.015091
[Epoch 164] speed: 1042 samples/sec	time cost: 1242.648597
[Epoch 164] validation: err-top1=0.218710 err-top5=0.058016
Epoch[165] Batch [49]	Speed: 1048.596255 samples/sec	rmse=0.014810	lr=0.030895
Epoch[165] Batch [99]	Speed: 1039.887990 samples/sec	rmse=0.014787	lr=0.030826
Epoch[165] Batch [149]	Speed: 1040.898943 samples/sec	rmse=0.014851	lr=0.030757
Epoch[165] Batch [199]	Speed: 1043.396520 samples/sec	rmse=0.014888	lr=0.030689
Epoch[165] Batch [249]	Speed: 1040.943995 samples/sec	rmse=0.014882	lr=0.030620
Epoch[165] Batch [299]	Speed: 1038.595980 samples/sec	rmse=0.014848	lr=0.030552
Epoch[165] Batch [349]	Speed: 1041.996757 samples/sec	rmse=0.014826	lr=0.030483
Epoch[165] Batch [399]	Speed: 1041.386068 samples/sec	rmse=0.014852	lr=0.030415
Epoch[165] Batch [449]	Speed: 1039.395479 samples/sec	rmse=0.014860	lr=0.030347
Epoch[165] Batch [499]	Speed: 1040.389355 samples/sec	rmse=0.014890	lr=0.030279
Epoch[165] Batch [549]	Speed: 1040.638999 samples/sec	rmse=0.014918	lr=0.030210
Epoch[165] Batch [599]	Speed: 1045.538975 samples/sec	rmse=0.014923	lr=0.030142
Epoch[165] Batch [649]	Speed: 1043.145344 samples/sec	rmse=0.014922	lr=0.030074
Epoch[165] Batch [699]	Speed: 1037.626246 samples/sec	rmse=0.014927	lr=0.030007
Epoch[165] Batch [749]	Speed: 1040.787136 samples/sec	rmse=0.014933	lr=0.029939
Epoch[165] Batch [799]	Speed: 1044.749716 samples/sec	rmse=0.014940	lr=0.029871
Epoch[165] Batch [849]	Speed: 1036.902323 samples/sec	rmse=0.014939	lr=0.029803
Epoch[165] Batch [899]	Speed: 1045.036749 samples/sec	rmse=0.014941	lr=0.029736
Epoch[165] Batch [949]	Speed: 1044.723561 samples/sec	rmse=0.014953	lr=0.029668
Epoch[165] Batch [999]	Speed: 1041.057728 samples/sec	rmse=0.014961	lr=0.029601
Epoch[165] Batch [1049]	Speed: 1041.130514 samples/sec	rmse=0.014962	lr=0.029533
Epoch[165] Batch [1099]	Speed: 1041.442263 samples/sec	rmse=0.014968	lr=0.029466
Epoch[165] Batch [1149]	Speed: 1040.078976 samples/sec	rmse=0.014974	lr=0.029399
Epoch[165] Batch [1199]	Speed: 1041.700830 samples/sec	rmse=0.014981	lr=0.029332
Epoch[165] Batch [1249]	Speed: 1041.518997 samples/sec	rmse=0.014988	lr=0.029265
[Epoch 165] training: rmse=0.014988
[Epoch 165] speed: 1040 samples/sec	time cost: 1243.855334
[Epoch 165] validation: err-top1=0.215900 err-top5=0.056900
Epoch[166] Batch [49]	Speed: 1051.060233 samples/sec	rmse=0.014563	lr=0.029196
Epoch[166] Batch [99]	Speed: 1041.568300 samples/sec	rmse=0.014564	lr=0.029129
Epoch[166] Batch [149]	Speed: 1041.117355 samples/sec	rmse=0.014618	lr=0.029062
Epoch[166] Batch [199]	Speed: 1041.838651 samples/sec	rmse=0.014607	lr=0.028995
Epoch[166] Batch [249]	Speed: 1043.297850 samples/sec	rmse=0.014629	lr=0.028929
Epoch[166] Batch [299]	Speed: 1042.424312 samples/sec	rmse=0.014653	lr=0.028862
Epoch[166] Batch [349]	Speed: 1041.767333 samples/sec	rmse=0.014667	lr=0.028795
Epoch[166] Batch [399]	Speed: 1043.999063 samples/sec	rmse=0.014660	lr=0.028729
Epoch[166] Batch [449]	Speed: 1042.474693 samples/sec	rmse=0.014662	lr=0.028662
Epoch[166] Batch [499]	Speed: 1042.934215 samples/sec	rmse=0.014684	lr=0.028596
Epoch[166] Batch [549]	Speed: 1040.446849 samples/sec	rmse=0.014693	lr=0.028530
Epoch[166] Batch [599]	Speed: 1035.868513 samples/sec	rmse=0.014702	lr=0.028463
Epoch[166] Batch [649]	Speed: 1043.693654 samples/sec	rmse=0.014715	lr=0.028397
Epoch[166] Batch [699]	Speed: 1042.430900 samples/sec	rmse=0.014731	lr=0.028331
Epoch[166] Batch [749]	Speed: 1038.153261 samples/sec	rmse=0.014747	lr=0.028265
Epoch[166] Batch [799]	Speed: 1039.412508 samples/sec	rmse=0.014746	lr=0.028199
Epoch[166] Batch [849]	Speed: 1036.487574 samples/sec	rmse=0.014753	lr=0.028133
Epoch[166] Batch [899]	Speed: 1041.964425 samples/sec	rmse=0.014765	lr=0.028067
Epoch[166] Batch [949]	Speed: 1041.004022 samples/sec	rmse=0.014768	lr=0.028002
Epoch[166] Batch [999]	Speed: 1034.505911 samples/sec	rmse=0.014788	lr=0.027936
Epoch[166] Batch [1049]	Speed: 1034.502737 samples/sec	rmse=0.014797	lr=0.027870
Epoch[166] Batch [1099]	Speed: 1034.973352 samples/sec	rmse=0.014808	lr=0.027805
Epoch[166] Batch [1149]	Speed: 1042.927620 samples/sec	rmse=0.014818	lr=0.027739
Epoch[166] Batch [1199]	Speed: 1037.426006 samples/sec	rmse=0.014829	lr=0.027674
Epoch[166] Batch [1249]	Speed: 1043.602921 samples/sec	rmse=0.014842	lr=0.027609
[Epoch 166] training: rmse=0.014842
[Epoch 166] speed: 1039 samples/sec	time cost: 1245.162694
[Epoch 166] validation: err-top1=0.218830 err-top5=0.056262
Epoch[167] Batch [49]	Speed: 1055.378543 samples/sec	rmse=0.014544	lr=0.027542
Epoch[167] Batch [99]	Speed: 1040.914276 samples/sec	rmse=0.014572	lr=0.027477
Epoch[167] Batch [149]	Speed: 1039.607462 samples/sec	rmse=0.014608	lr=0.027412
Epoch[167] Batch [199]	Speed: 1042.966865 samples/sec	rmse=0.014651	lr=0.027347
Epoch[167] Batch [249]	Speed: 1039.997030 samples/sec	rmse=0.014631	lr=0.027282
Epoch[167] Batch [299]	Speed: 1044.018721 samples/sec	rmse=0.014663	lr=0.027217
Epoch[167] Batch [349]	Speed: 1043.675490 samples/sec	rmse=0.014673	lr=0.027152
Epoch[167] Batch [399]	Speed: 1040.162578 samples/sec	rmse=0.014683	lr=0.027087
Epoch[167] Batch [449]	Speed: 1042.097426 samples/sec	rmse=0.014679	lr=0.027023
Epoch[167] Batch [499]	Speed: 1039.415401 samples/sec	rmse=0.014690	lr=0.026958
Epoch[167] Batch [549]	Speed: 1035.958446 samples/sec	rmse=0.014702	lr=0.026894
Epoch[167] Batch [599]	Speed: 1043.001351 samples/sec	rmse=0.014699	lr=0.026829
Epoch[167] Batch [649]	Speed: 1039.080061 samples/sec	rmse=0.014699	lr=0.026765
Epoch[167] Batch [699]	Speed: 1042.485654 samples/sec	rmse=0.014703	lr=0.026700
Epoch[167] Batch [749]	Speed: 1043.710967 samples/sec	rmse=0.014711	lr=0.026636
Epoch[167] Batch [799]	Speed: 1041.938703 samples/sec	rmse=0.014716	lr=0.026572
Epoch[167] Batch [849]	Speed: 1041.724338 samples/sec	rmse=0.014714	lr=0.026508
Epoch[167] Batch [899]	Speed: 1044.230573 samples/sec	rmse=0.014712	lr=0.026444
Epoch[167] Batch [949]	Speed: 1042.821043 samples/sec	rmse=0.014708	lr=0.026380
Epoch[167] Batch [999]	Speed: 1045.013138 samples/sec	rmse=0.014710	lr=0.026316
Epoch[167] Batch [1049]	Speed: 1043.239950 samples/sec	rmse=0.014721	lr=0.026252
Epoch[167] Batch [1099]	Speed: 1041.639212 samples/sec	rmse=0.014732	lr=0.026188
Epoch[167] Batch [1149]	Speed: 1043.361799 samples/sec	rmse=0.014740	lr=0.026125
Epoch[167] Batch [1199]	Speed: 1044.966569 samples/sec	rmse=0.014741	lr=0.026061
Epoch[167] Batch [1249]	Speed: 1044.356072 samples/sec	rmse=0.014750	lr=0.025998
[Epoch 167] training: rmse=0.014749
[Epoch 167] speed: 1041 samples/sec	time cost: 1242.876174
[Epoch 167] validation: err-top1=0.212054 err-top5=0.053990
Epoch[168] Batch [49]	Speed: 1052.509590 samples/sec	rmse=0.014286	lr=0.025933
Epoch[168] Batch [99]	Speed: 1043.056094 samples/sec	rmse=0.014370	lr=0.025869
Epoch[168] Batch [149]	Speed: 1041.556024 samples/sec	rmse=0.014354	lr=0.025806
Epoch[168] Batch [199]	Speed: 1040.450599 samples/sec	rmse=0.014325	lr=0.025743
Epoch[168] Batch [249]	Speed: 1039.476928 samples/sec	rmse=0.014394	lr=0.025680
Epoch[168] Batch [299]	Speed: 1041.706414 samples/sec	rmse=0.014451	lr=0.025617
Epoch[168] Batch [349]	Speed: 1042.898669 samples/sec	rmse=0.014447	lr=0.025554
Epoch[168] Batch [399]	Speed: 1041.875873 samples/sec	rmse=0.014457	lr=0.025491
Epoch[168] Batch [449]	Speed: 1029.748951 samples/sec	rmse=0.014476	lr=0.025428
Epoch[168] Batch [499]	Speed: 1041.556661 samples/sec	rmse=0.014478	lr=0.025365
Epoch[168] Batch [549]	Speed: 1038.615003 samples/sec	rmse=0.014504	lr=0.025302
Epoch[168] Batch [599]	Speed: 1029.338226 samples/sec	rmse=0.014505	lr=0.025240
Epoch[168] Batch [649]	Speed: 1040.753129 samples/sec	rmse=0.014506	lr=0.025177
Epoch[168] Batch [699]	Speed: 1042.843158 samples/sec	rmse=0.014525	lr=0.025114
Epoch[168] Batch [749]	Speed: 1040.084769 samples/sec	rmse=0.014543	lr=0.025052
Epoch[168] Batch [799]	Speed: 1041.051455 samples/sec	rmse=0.014552	lr=0.024990
Epoch[168] Batch [849]	Speed: 1041.459965 samples/sec	rmse=0.014559	lr=0.024927
Epoch[168] Batch [899]	Speed: 1040.854925 samples/sec	rmse=0.014565	lr=0.024865
Epoch[168] Batch [949]	Speed: 1044.295825 samples/sec	rmse=0.014579	lr=0.024803
Epoch[168] Batch [999]	Speed: 1043.017896 samples/sec	rmse=0.014582	lr=0.024741
Epoch[168] Batch [1049]	Speed: 1040.672216 samples/sec	rmse=0.014596	lr=0.024679
Epoch[168] Batch [1099]	Speed: 1039.714762 samples/sec	rmse=0.014597	lr=0.024617
Epoch[168] Batch [1149]	Speed: 1028.134714 samples/sec	rmse=0.014593	lr=0.024555
Epoch[168] Batch [1199]	Speed: 1042.773211 samples/sec	rmse=0.014609	lr=0.024493
Epoch[168] Batch [1249]	Speed: 1043.187681 samples/sec	rmse=0.014612	lr=0.024432
[Epoch 168] training: rmse=0.014612
[Epoch 168] speed: 1039 samples/sec	time cost: 1245.348166
[Epoch 168] validation: err-top1=0.215861 err-top5=0.057373
Epoch[169] Batch [49]	Speed: 1052.038578 samples/sec	rmse=0.014439	lr=0.024369
Epoch[169] Batch [99]	Speed: 1039.976305 samples/sec	rmse=0.014319	lr=0.024307
Epoch[169] Batch [149]	Speed: 1042.977432 samples/sec	rmse=0.014351	lr=0.024246
Epoch[169] Batch [199]	Speed: 1038.930052 samples/sec	rmse=0.014371	lr=0.024184
Epoch[169] Batch [249]	Speed: 1042.994285 samples/sec	rmse=0.014368	lr=0.024123
Epoch[169] Batch [299]	Speed: 1043.942486 samples/sec	rmse=0.014387	lr=0.024062
Epoch[169] Batch [349]	Speed: 1042.150182 samples/sec	rmse=0.014363	lr=0.024000
Epoch[169] Batch [399]	Speed: 1043.154282 samples/sec	rmse=0.014375	lr=0.023939
Epoch[169] Batch [449]	Speed: 1040.095434 samples/sec	rmse=0.014393	lr=0.023878
Epoch[169] Batch [499]	Speed: 1040.973493 samples/sec	rmse=0.014402	lr=0.023817
Epoch[169] Batch [549]	Speed: 1046.930321 samples/sec	rmse=0.014419	lr=0.023756
Epoch[169] Batch [599]	Speed: 1046.713530 samples/sec	rmse=0.014420	lr=0.023695
Epoch[169] Batch [649]	Speed: 1043.094812 samples/sec	rmse=0.014438	lr=0.023635
Epoch[169] Batch [699]	Speed: 1041.453455 samples/sec	rmse=0.014430	lr=0.023574
Epoch[169] Batch [749]	Speed: 1040.415757 samples/sec	rmse=0.014425	lr=0.023513
Epoch[169] Batch [799]	Speed: 1041.059944 samples/sec	rmse=0.014442	lr=0.023453
Epoch[169] Batch [849]	Speed: 1039.209128 samples/sec	rmse=0.014444	lr=0.023392
Epoch[169] Batch [899]	Speed: 1038.693255 samples/sec	rmse=0.014446	lr=0.023332
Epoch[169] Batch [949]	Speed: 1036.687433 samples/sec	rmse=0.014453	lr=0.023272
Epoch[169] Batch [999]	Speed: 1032.734175 samples/sec	rmse=0.014460	lr=0.023211
Epoch[169] Batch [1049]	Speed: 1040.712311 samples/sec	rmse=0.014471	lr=0.023151
Epoch[169] Batch [1099]	Speed: 1041.324128 samples/sec	rmse=0.014473	lr=0.023091
Epoch[169] Batch [1149]	Speed: 1042.092172 samples/sec	rmse=0.014474	lr=0.023031
Epoch[169] Batch [1199]	Speed: 1040.692026 samples/sec	rmse=0.014478	lr=0.022971
Epoch[169] Batch [1249]	Speed: 1036.389887 samples/sec	rmse=0.014480	lr=0.022911
[Epoch 169] training: rmse=0.014480
[Epoch 169] speed: 1040 samples/sec	time cost: 1244.298680
[Epoch 169] validation: err-top1=0.211814 err-top5=0.055086
Epoch[170] Batch [49]	Speed: 1047.080076 samples/sec	rmse=0.014115	lr=0.022850
Epoch[170] Batch [99]	Speed: 1039.317085 samples/sec	rmse=0.014285	lr=0.022790
Epoch[170] Batch [149]	Speed: 1037.957944 samples/sec	rmse=0.014292	lr=0.022731
Epoch[170] Batch [199]	Speed: 1031.009907 samples/sec	rmse=0.014313	lr=0.022671
Epoch[170] Batch [249]	Speed: 1038.223984 samples/sec	rmse=0.014295	lr=0.022612
Epoch[170] Batch [299]	Speed: 1027.524762 samples/sec	rmse=0.014297	lr=0.022552
Epoch[170] Batch [349]	Speed: 1036.542456 samples/sec	rmse=0.014328	lr=0.022493
Epoch[170] Batch [399]	Speed: 1039.917202 samples/sec	rmse=0.014322	lr=0.022434
Epoch[170] Batch [449]	Speed: 1038.656988 samples/sec	rmse=0.014331	lr=0.022374
Epoch[170] Batch [499]	Speed: 1044.643331 samples/sec	rmse=0.014339	lr=0.022315
Epoch[170] Batch [549]	Speed: 1041.111202 samples/sec	rmse=0.014337	lr=0.022256
Epoch[170] Batch [599]	Speed: 1038.980106 samples/sec	rmse=0.014330	lr=0.022197
Epoch[170] Batch [649]	Speed: 1040.152310 samples/sec	rmse=0.014346	lr=0.022138
Epoch[170] Batch [699]	Speed: 1038.636608 samples/sec	rmse=0.014351	lr=0.022079
Epoch[170] Batch [749]	Speed: 1039.158328 samples/sec	rmse=0.014345	lr=0.022021
Epoch[170] Batch [799]	Speed: 1041.497236 samples/sec	rmse=0.014346	lr=0.021962
Epoch[170] Batch [849]	Speed: 1039.632017 samples/sec	rmse=0.014347	lr=0.021903
Epoch[170] Batch [899]	Speed: 1041.640536 samples/sec	rmse=0.014355	lr=0.021845
Epoch[170] Batch [949]	Speed: 1036.750789 samples/sec	rmse=0.014361	lr=0.021786
Epoch[170] Batch [999]	Speed: 1035.877412 samples/sec	rmse=0.014364	lr=0.021728
Epoch[170] Batch [1049]	Speed: 1029.767532 samples/sec	rmse=0.014385	lr=0.021669
Epoch[170] Batch [1099]	Speed: 1038.733478 samples/sec	rmse=0.014382	lr=0.021611
Epoch[170] Batch [1149]	Speed: 1040.781320 samples/sec	rmse=0.014390	lr=0.021553
Epoch[170] Batch [1199]	Speed: 1041.414864 samples/sec	rmse=0.014394	lr=0.021495
Epoch[170] Batch [1249]	Speed: 1046.863443 samples/sec	rmse=0.014400	lr=0.021437
[Epoch 170] training: rmse=0.014400
[Epoch 170] speed: 1038 samples/sec	time cost: 1247.225559
[Epoch 170] validation: err-top1=0.218072 err-top5=0.057019
Epoch[171] Batch [49]	Speed: 1052.151311 samples/sec	rmse=0.013967	lr=0.021378
Epoch[171] Batch [99]	Speed: 1039.670094 samples/sec	rmse=0.014036	lr=0.021320
Epoch[171] Batch [149]	Speed: 1041.074656 samples/sec	rmse=0.014121	lr=0.021262
Epoch[171] Batch [199]	Speed: 1039.684358 samples/sec	rmse=0.014162	lr=0.021204
Epoch[171] Batch [249]	Speed: 1040.603120 samples/sec	rmse=0.014153	lr=0.021146
Epoch[171] Batch [299]	Speed: 1037.005139 samples/sec	rmse=0.014184	lr=0.021089
Epoch[171] Batch [349]	Speed: 1035.497000 samples/sec	rmse=0.014150	lr=0.021031
Epoch[171] Batch [399]	Speed: 1037.200058 samples/sec	rmse=0.014166	lr=0.020974
Epoch[171] Batch [449]	Speed: 1036.005135 samples/sec	rmse=0.014178	lr=0.020917
Epoch[171] Batch [499]	Speed: 1033.432490 samples/sec	rmse=0.014195	lr=0.020859
Epoch[171] Batch [549]	Speed: 1039.497099 samples/sec	rmse=0.014216	lr=0.020802
Epoch[171] Batch [599]	Speed: 1037.354504 samples/sec	rmse=0.014225	lr=0.020745
Epoch[171] Batch [649]	Speed: 1034.853679 samples/sec	rmse=0.014242	lr=0.020688
Epoch[171] Batch [699]	Speed: 1038.958758 samples/sec	rmse=0.014240	lr=0.020631
Epoch[171] Batch [749]	Speed: 1032.795897 samples/sec	rmse=0.014252	lr=0.020574
Epoch[171] Batch [799]	Speed: 1036.212037 samples/sec	rmse=0.014268	lr=0.020517
Epoch[171] Batch [849]	Speed: 1035.408391 samples/sec	rmse=0.014271	lr=0.020460
Epoch[171] Batch [899]	Speed: 1038.743577 samples/sec	rmse=0.014283	lr=0.020404
Epoch[171] Batch [949]	Speed: 1039.809573 samples/sec	rmse=0.014284	lr=0.020347
Epoch[171] Batch [999]	Speed: 1036.366509 samples/sec	rmse=0.014287	lr=0.020290
Epoch[171] Batch [1049]	Speed: 1032.499539 samples/sec	rmse=0.014293	lr=0.020234
Epoch[171] Batch [1099]	Speed: 1038.600385 samples/sec	rmse=0.014302	lr=0.020177
Epoch[171] Batch [1149]	Speed: 1039.074119 samples/sec	rmse=0.014316	lr=0.020121
Epoch[171] Batch [1199]	Speed: 1041.426990 samples/sec	rmse=0.014317	lr=0.020065
Epoch[171] Batch [1249]	Speed: 1042.659619 samples/sec	rmse=0.014318	lr=0.020009
[Epoch 171] training: rmse=0.014317
[Epoch 171] speed: 1037 samples/sec	time cost: 1248.840113
[Epoch 171] validation: err-top1=0.210280 err-top5=0.055943
Epoch[172] Batch [49]	Speed: 1049.670138 samples/sec	rmse=0.014131	lr=0.019951
Epoch[172] Batch [99]	Speed: 1042.336926 samples/sec	rmse=0.014044	lr=0.019895
Epoch[172] Batch [149]	Speed: 1031.160450 samples/sec	rmse=0.014145	lr=0.019839
Epoch[172] Batch [199]	Speed: 1040.131796 samples/sec	rmse=0.014102	lr=0.019784
Epoch[172] Batch [249]	Speed: 1040.604739 samples/sec	rmse=0.014096	lr=0.019728
Epoch[172] Batch [299]	Speed: 1039.723964 samples/sec	rmse=0.014108	lr=0.019672
Epoch[172] Batch [349]	Speed: 1038.588054 samples/sec	rmse=0.014108	lr=0.019616
Epoch[172] Batch [399]	Speed: 1041.191805 samples/sec	rmse=0.014134	lr=0.019561
Epoch[172] Batch [449]	Speed: 1041.117971 samples/sec	rmse=0.014152	lr=0.019505
Epoch[172] Batch [499]	Speed: 1037.997929 samples/sec	rmse=0.014142	lr=0.019450
Epoch[172] Batch [549]	Speed: 1034.290539 samples/sec	rmse=0.014133	lr=0.019394
Epoch[172] Batch [599]	Speed: 1040.505574 samples/sec	rmse=0.014131	lr=0.019339
Epoch[172] Batch [649]	Speed: 1043.146119 samples/sec	rmse=0.014136	lr=0.019284
Epoch[172] Batch [699]	Speed: 1044.456344 samples/sec	rmse=0.014155	lr=0.019229
Epoch[172] Batch [749]	Speed: 1041.723509 samples/sec	rmse=0.014158	lr=0.019174
Epoch[172] Batch [799]	Speed: 1041.826152 samples/sec	rmse=0.014156	lr=0.019119
Epoch[172] Batch [849]	Speed: 1042.975319 samples/sec	rmse=0.014172	lr=0.019064
Epoch[172] Batch [899]	Speed: 1043.039391 samples/sec	rmse=0.014173	lr=0.019009
Epoch[172] Batch [949]	Speed: 1042.384450 samples/sec	rmse=0.014174	lr=0.018954
Epoch[172] Batch [999]	Speed: 1042.707380 samples/sec	rmse=0.014169	lr=0.018900
Epoch[172] Batch [1049]	Speed: 1042.616004 samples/sec	rmse=0.014164	lr=0.018845
Epoch[172] Batch [1099]	Speed: 1046.410273 samples/sec	rmse=0.014171	lr=0.018790
Epoch[172] Batch [1149]	Speed: 1039.096276 samples/sec	rmse=0.014178	lr=0.018736
Epoch[172] Batch [1199]	Speed: 1039.697003 samples/sec	rmse=0.014182	lr=0.018682
Epoch[172] Batch [1249]	Speed: 1044.163065 samples/sec	rmse=0.014183	lr=0.018627
[Epoch 172] training: rmse=0.014182
[Epoch 172] speed: 1040 samples/sec	time cost: 1244.270428
[Epoch 172] validation: err-top1=0.206374 err-top5=0.054927
Epoch[173] Batch [49]	Speed: 1051.318663 samples/sec	rmse=0.013816	lr=0.018572
Epoch[173] Batch [99]	Speed: 1040.235112 samples/sec	rmse=0.013893	lr=0.018518
Epoch[173] Batch [149]	Speed: 1038.551498 samples/sec	rmse=0.013891	lr=0.018464
Epoch[173] Batch [199]	Speed: 1037.727456 samples/sec	rmse=0.013937	lr=0.018410
Epoch[173] Batch [249]	Speed: 1041.151209 samples/sec	rmse=0.013893	lr=0.018356
Epoch[173] Batch [299]	Speed: 1040.613538 samples/sec	rmse=0.013902	lr=0.018302
Epoch[173] Batch [349]	Speed: 1041.790677 samples/sec	rmse=0.013932	lr=0.018248
Epoch[173] Batch [399]	Speed: 1039.674911 samples/sec	rmse=0.013951	lr=0.018194
Epoch[173] Batch [449]	Speed: 1041.118359 samples/sec	rmse=0.013961	lr=0.018141
Epoch[173] Batch [499]	Speed: 1035.755087 samples/sec	rmse=0.013968	lr=0.018087
Epoch[173] Batch [549]	Speed: 1039.929887 samples/sec	rmse=0.013988	lr=0.018034
Epoch[173] Batch [599]	Speed: 1035.073701 samples/sec	rmse=0.014002	lr=0.017980
Epoch[173] Batch [649]	Speed: 1042.390669 samples/sec	rmse=0.014014	lr=0.017927
Epoch[173] Batch [699]	Speed: 1036.130919 samples/sec	rmse=0.014029	lr=0.017874
Epoch[173] Batch [749]	Speed: 1044.020573 samples/sec	rmse=0.014031	lr=0.017821
Epoch[173] Batch [799]	Speed: 1039.627452 samples/sec	rmse=0.014024	lr=0.017768
Epoch[173] Batch [849]	Speed: 1044.428477 samples/sec	rmse=0.014027	lr=0.017714
Epoch[173] Batch [899]	Speed: 1043.441919 samples/sec	rmse=0.014041	lr=0.017662
Epoch[173] Batch [949]	Speed: 1034.363691 samples/sec	rmse=0.014049	lr=0.017609
Epoch[173] Batch [999]	Speed: 1040.560579 samples/sec	rmse=0.014044	lr=0.017556
Epoch[173] Batch [1049]	Speed: 1041.468814 samples/sec	rmse=0.014052	lr=0.017503
Epoch[173] Batch [1099]	Speed: 1043.238703 samples/sec	rmse=0.014066	lr=0.017450
Epoch[173] Batch [1149]	Speed: 1041.940978 samples/sec	rmse=0.014070	lr=0.017398
Epoch[173] Batch [1199]	Speed: 1042.127920 samples/sec	rmse=0.014075	lr=0.017345
Epoch[173] Batch [1249]	Speed: 1045.060626 samples/sec	rmse=0.014088	lr=0.017293
[Epoch 173] training: rmse=0.014088
[Epoch 173] speed: 1040 samples/sec	time cost: 1244.837305
[Epoch 173] validation: err-top1=0.210200 err-top5=0.054269
Epoch[174] Batch [49]	Speed: 1052.669631 samples/sec	rmse=0.014146	lr=0.017240
Epoch[174] Batch [99]	Speed: 1042.711805 samples/sec	rmse=0.014010	lr=0.017187
Epoch[174] Batch [149]	Speed: 1038.305988 samples/sec	rmse=0.013897	lr=0.017135
Epoch[174] Batch [199]	Speed: 1042.944461 samples/sec	rmse=0.013854	lr=0.017083
Epoch[174] Batch [249]	Speed: 1042.024515 samples/sec	rmse=0.013894	lr=0.017031
Epoch[174] Batch [299]	Speed: 1035.314636 samples/sec	rmse=0.013903	lr=0.016979
Epoch[174] Batch [349]	Speed: 1041.941544 samples/sec	rmse=0.013921	lr=0.016927
Epoch[174] Batch [399]	Speed: 1038.913003 samples/sec	rmse=0.013934	lr=0.016875
Epoch[174] Batch [449]	Speed: 1038.396324 samples/sec	rmse=0.013924	lr=0.016824
Epoch[174] Batch [499]	Speed: 1043.534059 samples/sec	rmse=0.013898	lr=0.016772
Epoch[174] Batch [549]	Speed: 1041.073777 samples/sec	rmse=0.013903	lr=0.016720
Epoch[174] Batch [599]	Speed: 1041.171234 samples/sec	rmse=0.013922	lr=0.016669
Epoch[174] Batch [649]	Speed: 1041.196136 samples/sec	rmse=0.013933	lr=0.016617
Epoch[174] Batch [699]	Speed: 1042.150521 samples/sec	rmse=0.013940	lr=0.016566
Epoch[174] Batch [749]	Speed: 1042.639193 samples/sec	rmse=0.013951	lr=0.016515
Epoch[174] Batch [799]	Speed: 1041.291409 samples/sec	rmse=0.013968	lr=0.016464
Epoch[174] Batch [849]	Speed: 1040.653149 samples/sec	rmse=0.013985	lr=0.016412
Epoch[174] Batch [899]	Speed: 1043.301008 samples/sec	rmse=0.013992	lr=0.016361
Epoch[174] Batch [949]	Speed: 1043.976235 samples/sec	rmse=0.013996	lr=0.016310
Epoch[174] Batch [999]	Speed: 1044.428019 samples/sec	rmse=0.013992	lr=0.016259
Epoch[174] Batch [1049]	Speed: 1042.634085 samples/sec	rmse=0.013999	lr=0.016209
Epoch[174] Batch [1099]	Speed: 1043.002841 samples/sec	rmse=0.014003	lr=0.016158
Epoch[174] Batch [1149]	Speed: 1042.277823 samples/sec	rmse=0.014016	lr=0.016107
Epoch[174] Batch [1199]	Speed: 1041.635609 samples/sec	rmse=0.014013	lr=0.016057
Epoch[174] Batch [1249]	Speed: 1044.232523 samples/sec	rmse=0.014014	lr=0.016006
[Epoch 174] training: rmse=0.014015
[Epoch 174] speed: 1041 samples/sec	time cost: 1243.435511
[Epoch 174] validation: err-top1=0.211548 err-top5=0.056071
Epoch[175] Batch [49]	Speed: 1055.287277 samples/sec	rmse=0.013684	lr=0.015955
Epoch[175] Batch [99]	Speed: 1037.851196 samples/sec	rmse=0.013711	lr=0.015904
Epoch[175] Batch [149]	Speed: 1030.472975 samples/sec	rmse=0.013781	lr=0.015854
Epoch[175] Batch [199]	Speed: 1044.739378 samples/sec	rmse=0.013771	lr=0.015804
Epoch[175] Batch [249]	Speed: 1039.461038 samples/sec	rmse=0.013770	lr=0.015754
Epoch[175] Batch [299]	Speed: 1040.946225 samples/sec	rmse=0.013802	lr=0.015704
Epoch[175] Batch [349]	Speed: 1038.353908 samples/sec	rmse=0.013795	lr=0.015654
Epoch[175] Batch [399]	Speed: 1032.056653 samples/sec	rmse=0.013802	lr=0.015604
Epoch[175] Batch [449]	Speed: 1040.779156 samples/sec	rmse=0.013796	lr=0.015554
Epoch[175] Batch [499]	Speed: 1043.259361 samples/sec	rmse=0.013810	lr=0.015504
Epoch[175] Batch [549]	Speed: 1043.810511 samples/sec	rmse=0.013831	lr=0.015454
Epoch[175] Batch [599]	Speed: 1032.526991 samples/sec	rmse=0.013823	lr=0.015405
Epoch[175] Batch [649]	Speed: 1042.852583 samples/sec	rmse=0.013808	lr=0.015355
Epoch[175] Batch [699]	Speed: 1038.097250 samples/sec	rmse=0.013802	lr=0.015306
Epoch[175] Batch [749]	Speed: 1044.337580 samples/sec	rmse=0.013801	lr=0.015257
Epoch[175] Batch [799]	Speed: 1042.227992 samples/sec	rmse=0.013811	lr=0.015207
Epoch[175] Batch [849]	Speed: 1042.506358 samples/sec	rmse=0.013815	lr=0.015158
Epoch[175] Batch [899]	Speed: 1042.352752 samples/sec	rmse=0.013812	lr=0.015109
Epoch[175] Batch [949]	Speed: 1039.355365 samples/sec	rmse=0.013803	lr=0.015060
Epoch[175] Batch [999]	Speed: 1044.325107 samples/sec	rmse=0.013813	lr=0.015011
Epoch[175] Batch [1049]	Speed: 1043.101398 samples/sec	rmse=0.013821	lr=0.014962
Epoch[175] Batch [1099]	Speed: 1042.088799 samples/sec	rmse=0.013834	lr=0.014913
Epoch[175] Batch [1149]	Speed: 1044.487520 samples/sec	rmse=0.013830	lr=0.014864
Epoch[175] Batch [1199]	Speed: 1040.775540 samples/sec	rmse=0.013840	lr=0.014816
Epoch[175] Batch [1249]	Speed: 1044.083850 samples/sec	rmse=0.013847	lr=0.014767
[Epoch 175] training: rmse=0.013846
[Epoch 175] speed: 1040 samples/sec	time cost: 1244.502272
[Epoch 175] validation: err-top1=0.207769 err-top5=0.054747
Epoch[176] Batch [49]	Speed: 1052.407534 samples/sec	rmse=0.013562	lr=0.014718
Epoch[176] Batch [99]	Speed: 1039.028756 samples/sec	rmse=0.013420	lr=0.014669
Epoch[176] Batch [149]	Speed: 1041.662984 samples/sec	rmse=0.013510	lr=0.014621
Epoch[176] Batch [199]	Speed: 1041.463824 samples/sec	rmse=0.013522	lr=0.014572
Epoch[176] Batch [249]	Speed: 1041.016669 samples/sec	rmse=0.013526	lr=0.014524
Epoch[176] Batch [299]	Speed: 1046.029144 samples/sec	rmse=0.013571	lr=0.014476
Epoch[176] Batch [349]	Speed: 1039.056185 samples/sec	rmse=0.013576	lr=0.014428
Epoch[176] Batch [399]	Speed: 1042.820699 samples/sec	rmse=0.013594	lr=0.014380
Epoch[176] Batch [449]	Speed: 1045.542151 samples/sec	rmse=0.013607	lr=0.014332
Epoch[176] Batch [499]	Speed: 1039.787022 samples/sec	rmse=0.013625	lr=0.014284
Epoch[176] Batch [549]	Speed: 1040.173990 samples/sec	rmse=0.013626	lr=0.014236
Epoch[176] Batch [599]	Speed: 1041.628587 samples/sec	rmse=0.013630	lr=0.014189
Epoch[176] Batch [649]	Speed: 1040.366608 samples/sec	rmse=0.013617	lr=0.014141
Epoch[176] Batch [699]	Speed: 1036.463042 samples/sec	rmse=0.013617	lr=0.014094
Epoch[176] Batch [749]	Speed: 1035.921216 samples/sec	rmse=0.013631	lr=0.014046
Epoch[176] Batch [799]	Speed: 1041.455935 samples/sec	rmse=0.013630	lr=0.013999
Epoch[176] Batch [849]	Speed: 1041.738053 samples/sec	rmse=0.013640	lr=0.013952
Epoch[176] Batch [899]	Speed: 1037.730365 samples/sec	rmse=0.013653	lr=0.013904
Epoch[176] Batch [949]	Speed: 1033.499732 samples/sec	rmse=0.013668	lr=0.013857
Epoch[176] Batch [999]	Speed: 1033.515539 samples/sec	rmse=0.013669	lr=0.013810
Epoch[176] Batch [1049]	Speed: 1036.886627 samples/sec	rmse=0.013685	lr=0.013763
Epoch[176] Batch [1099]	Speed: 1036.853045 samples/sec	rmse=0.013672	lr=0.013716
Epoch[176] Batch [1149]	Speed: 1038.154676 samples/sec	rmse=0.013674	lr=0.013669
Epoch[176] Batch [1199]	Speed: 1043.489265 samples/sec	rmse=0.013682	lr=0.013623
Epoch[176] Batch [1249]	Speed: 1041.087601 samples/sec	rmse=0.013677	lr=0.013576
[Epoch 176] training: rmse=0.013676
[Epoch 176] speed: 1039 samples/sec	time cost: 1245.838231
[Epoch 176] validation: err-top1=0.207191 err-top5=0.052734
Epoch[177] Batch [49]	Speed: 1044.125877 samples/sec	rmse=0.013444	lr=0.013528
Epoch[177] Batch [99]	Speed: 1030.700963 samples/sec	rmse=0.013602	lr=0.013482
Epoch[177] Batch [149]	Speed: 1043.332799 samples/sec	rmse=0.013610	lr=0.013435
Epoch[177] Batch [199]	Speed: 1041.587629 samples/sec	rmse=0.013523	lr=0.013389
Epoch[177] Batch [249]	Speed: 1040.684184 samples/sec	rmse=0.013531	lr=0.013343
Epoch[177] Batch [299]	Speed: 1040.266072 samples/sec	rmse=0.013538	lr=0.013297
Epoch[177] Batch [349]	Speed: 1043.738288 samples/sec	rmse=0.013488	lr=0.013250
Epoch[177] Batch [399]	Speed: 1043.424144 samples/sec	rmse=0.013496	lr=0.013204
Epoch[177] Batch [449]	Speed: 1037.818138 samples/sec	rmse=0.013526	lr=0.013158
Epoch[177] Batch [499]	Speed: 1041.372984 samples/sec	rmse=0.013531	lr=0.013113
Epoch[177] Batch [549]	Speed: 1039.457828 samples/sec	rmse=0.013524	lr=0.013067
Epoch[177] Batch [599]	Speed: 1040.448754 samples/sec	rmse=0.013541	lr=0.013021
Epoch[177] Batch [649]	Speed: 1041.737204 samples/sec	rmse=0.013553	lr=0.012975
Epoch[177] Batch [699]	Speed: 1042.199616 samples/sec	rmse=0.013556	lr=0.012930
Epoch[177] Batch [749]	Speed: 1042.063192 samples/sec	rmse=0.013564	lr=0.012884
Epoch[177] Batch [799]	Speed: 1041.206808 samples/sec	rmse=0.013564	lr=0.012839
Epoch[177] Batch [849]	Speed: 1037.624823 samples/sec	rmse=0.013556	lr=0.012793
Epoch[177] Batch [899]	Speed: 1040.797099 samples/sec	rmse=0.013564	lr=0.012748
Epoch[177] Batch [949]	Speed: 1041.872790 samples/sec	rmse=0.013557	lr=0.012703
Epoch[177] Batch [999]	Speed: 1043.327168 samples/sec	rmse=0.013549	lr=0.012658
Epoch[177] Batch [1049]	Speed: 1042.093825 samples/sec	rmse=0.013552	lr=0.012613
Epoch[177] Batch [1099]	Speed: 1040.625353 samples/sec	rmse=0.013546	lr=0.012568
Epoch[177] Batch [1149]	Speed: 1043.696652 samples/sec	rmse=0.013557	lr=0.012523
Epoch[177] Batch [1199]	Speed: 1043.286365 samples/sec	rmse=0.013561	lr=0.012478
Epoch[177] Batch [1249]	Speed: 1046.192974 samples/sec	rmse=0.013560	lr=0.012433
[Epoch 177] training: rmse=0.013561
[Epoch 177] speed: 1040 samples/sec	time cost: 1244.177087
[Epoch 177] validation: err-top1=0.203344 err-top5=0.052156
Epoch[178] Batch [49]	Speed: 1057.485887 samples/sec	rmse=0.013483	lr=0.012388
Epoch[178] Batch [99]	Speed: 1042.106994 samples/sec	rmse=0.013318	lr=0.012343
Epoch[178] Batch [149]	Speed: 1043.739024 samples/sec	rmse=0.013428	lr=0.012299
Epoch[178] Batch [199]	Speed: 1043.025688 samples/sec	rmse=0.013417	lr=0.012254
Epoch[178] Batch [249]	Speed: 1040.188369 samples/sec	rmse=0.013353	lr=0.012210
Epoch[178] Batch [299]	Speed: 1040.684214 samples/sec	rmse=0.013360	lr=0.012166
Epoch[178] Batch [349]	Speed: 1040.851257 samples/sec	rmse=0.013358	lr=0.012121
Epoch[178] Batch [399]	Speed: 1037.199987 samples/sec	rmse=0.013342	lr=0.012077
Epoch[178] Batch [449]	Speed: 1037.264148 samples/sec	rmse=0.013343	lr=0.012033
Epoch[178] Batch [499]	Speed: 1035.662942 samples/sec	rmse=0.013326	lr=0.011989
Epoch[178] Batch [549]	Speed: 1037.896045 samples/sec	rmse=0.013354	lr=0.011945
Epoch[178] Batch [599]	Speed: 1037.546872 samples/sec	rmse=0.013393	lr=0.011902
Epoch[178] Batch [649]	Speed: 1041.220237 samples/sec	rmse=0.013437	lr=0.011858
Epoch[178] Batch [699]	Speed: 1041.392214 samples/sec	rmse=0.013441	lr=0.011814
Epoch[178] Batch [749]	Speed: 1037.288553 samples/sec	rmse=0.013448	lr=0.011771
Epoch[178] Batch [799]	Speed: 1041.806734 samples/sec	rmse=0.013476	lr=0.011727
Epoch[178] Batch [849]	Speed: 1037.061944 samples/sec	rmse=0.013472	lr=0.011684
Epoch[178] Batch [899]	Speed: 1036.040612 samples/sec	rmse=0.013475	lr=0.011640
Epoch[178] Batch [949]	Speed: 1038.540178 samples/sec	rmse=0.013472	lr=0.011597
Epoch[178] Batch [999]	Speed: 1039.398386 samples/sec	rmse=0.013472	lr=0.011554
Epoch[178] Batch [1049]	Speed: 1043.238222 samples/sec	rmse=0.013490	lr=0.011511
Epoch[178] Batch [1099]	Speed: 1041.578848 samples/sec	rmse=0.013494	lr=0.011468
Epoch[178] Batch [1149]	Speed: 1041.481255 samples/sec	rmse=0.013510	lr=0.011425
Epoch[178] Batch [1199]	Speed: 1037.847575 samples/sec	rmse=0.013505	lr=0.011382
Epoch[178] Batch [1249]	Speed: 1043.727270 samples/sec	rmse=0.013502	lr=0.011339
[Epoch 178] training: rmse=0.013502
[Epoch 178] speed: 1039 samples/sec	time cost: 1245.182376
[Epoch 178] validation: err-top1=0.203743 err-top5=0.052256
Epoch[179] Batch [49]	Speed: 1052.388818 samples/sec	rmse=0.013419	lr=0.011296
Epoch[179] Batch [99]	Speed: 1042.116081 samples/sec	rmse=0.013250	lr=0.011253
Epoch[179] Batch [149]	Speed: 1043.526595 samples/sec	rmse=0.013329	lr=0.011211
Epoch[179] Batch [199]	Speed: 1040.085077 samples/sec	rmse=0.013271	lr=0.011168
Epoch[179] Batch [249]	Speed: 1038.542413 samples/sec	rmse=0.013233	lr=0.011126
Epoch[179] Batch [299]	Speed: 1041.505071 samples/sec	rmse=0.013244	lr=0.011083
Epoch[179] Batch [349]	Speed: 1040.232230 samples/sec	rmse=0.013253	lr=0.011041
Epoch[179] Batch [399]	Speed: 1039.718598 samples/sec	rmse=0.013284	lr=0.010999
Epoch[179] Batch [449]	Speed: 1039.410787 samples/sec	rmse=0.013283	lr=0.010957
Epoch[179] Batch [499]	Speed: 1039.637146 samples/sec	rmse=0.013271	lr=0.010915
Epoch[179] Batch [549]	Speed: 1043.152047 samples/sec	rmse=0.013280	lr=0.010873
Epoch[179] Batch [599]	Speed: 1041.587558 samples/sec	rmse=0.013302	lr=0.010831
Epoch[179] Batch [649]	Speed: 1037.397310 samples/sec	rmse=0.013284	lr=0.010789
Epoch[179] Batch [699]	Speed: 1037.112073 samples/sec	rmse=0.013280	lr=0.010748
Epoch[179] Batch [749]	Speed: 1041.344846 samples/sec	rmse=0.013293	lr=0.010706
Epoch[179] Batch [799]	Speed: 1041.489094 samples/sec	rmse=0.013296	lr=0.010665
Epoch[179] Batch [849]	Speed: 1041.039782 samples/sec	rmse=0.013294	lr=0.010623
Epoch[179] Batch [899]	Speed: 1040.170674 samples/sec	rmse=0.013299	lr=0.010582
Epoch[179] Batch [949]	Speed: 1041.887363 samples/sec	rmse=0.013307	lr=0.010540
Epoch[179] Batch [999]	Speed: 1044.273303 samples/sec	rmse=0.013305	lr=0.010499
Epoch[179] Batch [1049]	Speed: 1042.325791 samples/sec	rmse=0.013311	lr=0.010458
Epoch[179] Batch [1099]	Speed: 1043.560915 samples/sec	rmse=0.013308	lr=0.010417
Epoch[179] Batch [1149]	Speed: 1041.744198 samples/sec	rmse=0.013301	lr=0.010376
Epoch[179] Batch [1199]	Speed: 1041.835245 samples/sec	rmse=0.013303	lr=0.010335
Epoch[179] Batch [1249]	Speed: 1045.169421 samples/sec	rmse=0.013303	lr=0.010294
[Epoch 179] training: rmse=0.013301
[Epoch 179] speed: 1040 samples/sec	time cost: 1245.033162
[Epoch 179] validation: err-top1=0.201869 err-top5=0.052037
Epoch[180] Batch [49]	Speed: 1055.692813 samples/sec	rmse=0.013282	lr=0.010253
Epoch[180] Batch [99]	Speed: 1043.151227 samples/sec	rmse=0.013279	lr=0.010212
Epoch[180] Batch [149]	Speed: 1042.872830 samples/sec	rmse=0.013150	lr=0.010172
Epoch[180] Batch [199]	Speed: 1041.043986 samples/sec	rmse=0.013179	lr=0.010131
Epoch[180] Batch [249]	Speed: 1037.577165 samples/sec	rmse=0.013161	lr=0.010091
Epoch[180] Batch [299]	Speed: 1040.510227 samples/sec	rmse=0.013180	lr=0.010050
Epoch[180] Batch [349]	Speed: 1045.034603 samples/sec	rmse=0.013156	lr=0.010010
Epoch[180] Batch [399]	Speed: 1038.621432 samples/sec	rmse=0.013179	lr=0.009970
Epoch[180] Batch [449]	Speed: 1030.102554 samples/sec	rmse=0.013172	lr=0.009930
Epoch[180] Batch [499]	Speed: 1032.106250 samples/sec	rmse=0.013149	lr=0.009890
Epoch[180] Batch [549]	Speed: 1038.301846 samples/sec	rmse=0.013162	lr=0.009850
Epoch[180] Batch [599]	Speed: 1041.385715 samples/sec	rmse=0.013184	lr=0.009810
Epoch[180] Batch [649]	Speed: 1034.838628 samples/sec	rmse=0.013197	lr=0.009770
Epoch[180] Batch [699]	Speed: 1039.360753 samples/sec	rmse=0.013197	lr=0.009730
Epoch[180] Batch [749]	Speed: 1036.412920 samples/sec	rmse=0.013179	lr=0.009691
Epoch[180] Batch [799]	Speed: 1029.818134 samples/sec	rmse=0.013193	lr=0.009651
Epoch[180] Batch [849]	Speed: 1040.080301 samples/sec	rmse=0.013179	lr=0.009612
Epoch[180] Batch [899]	Speed: 1035.640301 samples/sec	rmse=0.013202	lr=0.009572
Epoch[180] Batch [949]	Speed: 1042.437681 samples/sec	rmse=0.013215	lr=0.009533
Epoch[180] Batch [999]	Speed: 1039.778887 samples/sec	rmse=0.013209	lr=0.009494
Epoch[180] Batch [1049]	Speed: 1033.642048 samples/sec	rmse=0.013231	lr=0.009454
Epoch[180] Batch [1099]	Speed: 1036.397755 samples/sec	rmse=0.013229	lr=0.009415
Epoch[180] Batch [1149]	Speed: 1044.573839 samples/sec	rmse=0.013223	lr=0.009376
Epoch[180] Batch [1199]	Speed: 1039.828438 samples/sec	rmse=0.013224	lr=0.009337
Epoch[180] Batch [1249]	Speed: 1045.426047 samples/sec	rmse=0.013226	lr=0.009299
[Epoch 180] training: rmse=0.013225
[Epoch 180] speed: 1038 samples/sec	time cost: 1246.597117
[Epoch 180] validation: err-top1=0.203186 err-top5=0.052856
Epoch[181] Batch [49]	Speed: 1051.480494 samples/sec	rmse=0.012903	lr=0.009259
Epoch[181] Batch [99]	Speed: 1039.309943 samples/sec	rmse=0.012987	lr=0.009220
Epoch[181] Batch [149]	Speed: 1044.131137 samples/sec	rmse=0.012976	lr=0.009182
Epoch[181] Batch [199]	Speed: 1040.373085 samples/sec	rmse=0.012972	lr=0.009143
Epoch[181] Batch [249]	Speed: 1039.285458 samples/sec	rmse=0.012983	lr=0.009105
Epoch[181] Batch [299]	Speed: 1041.911127 samples/sec	rmse=0.013006	lr=0.009066
Epoch[181] Batch [349]	Speed: 1042.818172 samples/sec	rmse=0.013026	lr=0.009028
Epoch[181] Batch [399]	Speed: 1041.024960 samples/sec	rmse=0.013020	lr=0.008990
Epoch[181] Batch [449]	Speed: 1039.156352 samples/sec	rmse=0.013030	lr=0.008952
Epoch[181] Batch [499]	Speed: 1039.161627 samples/sec	rmse=0.013026	lr=0.008914
Epoch[181] Batch [549]	Speed: 1041.666248 samples/sec	rmse=0.013061	lr=0.008876
Epoch[181] Batch [599]	Speed: 1033.253387 samples/sec	rmse=0.013084	lr=0.008838
Epoch[181] Batch [649]	Speed: 1034.393461 samples/sec	rmse=0.013049	lr=0.008800
Epoch[181] Batch [699]	Speed: 1041.285426 samples/sec	rmse=0.013058	lr=0.008762
Epoch[181] Batch [749]	Speed: 1043.054838 samples/sec	rmse=0.013076	lr=0.008725
Epoch[181] Batch [799]	Speed: 1043.104788 samples/sec	rmse=0.013063	lr=0.008687
Epoch[181] Batch [849]	Speed: 1041.865880 samples/sec	rmse=0.013068	lr=0.008649
Epoch[181] Batch [899]	Speed: 1040.455464 samples/sec	rmse=0.013066	lr=0.008612
Epoch[181] Batch [949]	Speed: 1042.379699 samples/sec	rmse=0.013076	lr=0.008575
Epoch[181] Batch [999]	Speed: 1042.297835 samples/sec	rmse=0.013087	lr=0.008537
Epoch[181] Batch [1049]	Speed: 1040.834781 samples/sec	rmse=0.013093	lr=0.008500
Epoch[181] Batch [1099]	Speed: 1043.808973 samples/sec	rmse=0.013102	lr=0.008463
Epoch[181] Batch [1149]	Speed: 1044.774200 samples/sec	rmse=0.013095	lr=0.008426
Epoch[181] Batch [1199]	Speed: 1044.824387 samples/sec	rmse=0.013096	lr=0.008389
Epoch[181] Batch [1249]	Speed: 1045.683949 samples/sec	rmse=0.013096	lr=0.008352
[Epoch 181] training: rmse=0.013096
[Epoch 181] speed: 1040 samples/sec	time cost: 1244.181303
[Epoch 181] validation: err-top1=0.201670 err-top5=0.051977
Epoch[182] Batch [49]	Speed: 1053.968267 samples/sec	rmse=0.012841	lr=0.008315
Epoch[182] Batch [99]	Speed: 1040.333097 samples/sec	rmse=0.012804	lr=0.008278
Epoch[182] Batch [149]	Speed: 1038.994970 samples/sec	rmse=0.012826	lr=0.008241
Epoch[182] Batch [199]	Speed: 1037.244549 samples/sec	rmse=0.012828	lr=0.008205
Epoch[182] Batch [249]	Speed: 1039.204567 samples/sec	rmse=0.012828	lr=0.008168
Epoch[182] Batch [299]	Speed: 1036.382794 samples/sec	rmse=0.012880	lr=0.008132
Epoch[182] Batch [349]	Speed: 1031.016936 samples/sec	rmse=0.012893	lr=0.008096
Epoch[182] Batch [399]	Speed: 1041.791743 samples/sec	rmse=0.012892	lr=0.008060
Epoch[182] Batch [449]	Speed: 1038.087926 samples/sec	rmse=0.012866	lr=0.008023
Epoch[182] Batch [499]	Speed: 1040.171027 samples/sec	rmse=0.012857	lr=0.007987
Epoch[182] Batch [549]	Speed: 1043.494173 samples/sec	rmse=0.012884	lr=0.007951
Epoch[182] Batch [599]	Speed: 1029.189024 samples/sec	rmse=0.012871	lr=0.007915
Epoch[182] Batch [649]	Speed: 1043.900473 samples/sec	rmse=0.012877	lr=0.007880
Epoch[182] Batch [699]	Speed: 1032.113815 samples/sec	rmse=0.012889	lr=0.007844
Epoch[182] Batch [749]	Speed: 1042.024829 samples/sec	rmse=0.012893	lr=0.007808
Epoch[182] Batch [799]	Speed: 1042.624513 samples/sec	rmse=0.012887	lr=0.007773
Epoch[182] Batch [849]	Speed: 1038.039454 samples/sec	rmse=0.012893	lr=0.007737
Epoch[182] Batch [899]	Speed: 1036.051598 samples/sec	rmse=0.012913	lr=0.007702
Epoch[182] Batch [949]	Speed: 1044.375621 samples/sec	rmse=0.012923	lr=0.007666
Epoch[182] Batch [999]	Speed: 1045.992664 samples/sec	rmse=0.012944	lr=0.007631
Epoch[182] Batch [1049]	Speed: 1042.253896 samples/sec	rmse=0.012943	lr=0.007596
Epoch[182] Batch [1099]	Speed: 1039.503691 samples/sec	rmse=0.012937	lr=0.007561
Epoch[182] Batch [1149]	Speed: 1041.973060 samples/sec	rmse=0.012935	lr=0.007526
Epoch[182] Batch [1199]	Speed: 1045.383146 samples/sec	rmse=0.012937	lr=0.007491
Epoch[182] Batch [1249]	Speed: 1041.698744 samples/sec	rmse=0.012943	lr=0.007456
[Epoch 182] training: rmse=0.012945
[Epoch 182] speed: 1039 samples/sec	time cost: 1245.491938
[Epoch 182] validation: err-top1=0.199817 err-top5=0.051299
Epoch[183] Batch [49]	Speed: 1056.844071 samples/sec	rmse=0.012925	lr=0.007420
Epoch[183] Batch [99]	Speed: 1040.773749 samples/sec	rmse=0.012682	lr=0.007386
Epoch[183] Batch [149]	Speed: 1042.314312 samples/sec	rmse=0.012598	lr=0.007351
Epoch[183] Batch [199]	Speed: 1043.874066 samples/sec	rmse=0.012715	lr=0.007316
Epoch[183] Batch [249]	Speed: 1041.487639 samples/sec	rmse=0.012749	lr=0.007282
Epoch[183] Batch [299]	Speed: 1045.445478 samples/sec	rmse=0.012791	lr=0.007248
Epoch[183] Batch [349]	Speed: 1040.731517 samples/sec	rmse=0.012837	lr=0.007213
Epoch[183] Batch [399]	Speed: 1039.914734 samples/sec	rmse=0.012796	lr=0.007179
Epoch[183] Batch [449]	Speed: 1043.064636 samples/sec	rmse=0.012806	lr=0.007145
Epoch[183] Batch [499]	Speed: 1045.054956 samples/sec	rmse=0.012844	lr=0.007111
Epoch[183] Batch [549]	Speed: 1044.040440 samples/sec	rmse=0.012803	lr=0.007077
Epoch[183] Batch [599]	Speed: 1042.205099 samples/sec	rmse=0.012827	lr=0.007043
Epoch[183] Batch [649]	Speed: 1043.862030 samples/sec	rmse=0.012826	lr=0.007009
Epoch[183] Batch [699]	Speed: 1042.819144 samples/sec	rmse=0.012796	lr=0.006975
Epoch[183] Batch [749]	Speed: 1043.963207 samples/sec	rmse=0.012802	lr=0.006942
Epoch[183] Batch [799]	Speed: 1042.116010 samples/sec	rmse=0.012795	lr=0.006908
Epoch[183] Batch [849]	Speed: 1043.921750 samples/sec	rmse=0.012790	lr=0.006874
Epoch[183] Batch [899]	Speed: 1043.506429 samples/sec	rmse=0.012809	lr=0.006841
Epoch[183] Batch [949]	Speed: 1043.685944 samples/sec	rmse=0.012801	lr=0.006808
Epoch[183] Batch [999]	Speed: 1041.572064 samples/sec	rmse=0.012793	lr=0.006774
Epoch[183] Batch [1049]	Speed: 1044.287258 samples/sec	rmse=0.012792	lr=0.006741
Epoch[183] Batch [1099]	Speed: 1043.813646 samples/sec	rmse=0.012792	lr=0.006708
Epoch[183] Batch [1149]	Speed: 1041.405117 samples/sec	rmse=0.012804	lr=0.006675
Epoch[183] Batch [1199]	Speed: 1036.317738 samples/sec	rmse=0.012801	lr=0.006642
Epoch[183] Batch [1249]	Speed: 1046.275313 samples/sec	rmse=0.012808	lr=0.006609
[Epoch 183] training: rmse=0.012808
[Epoch 183] speed: 1042 samples/sec	time cost: 1242.200462
[Epoch 183] validation: err-top1=0.197983 err-top5=0.051060
Epoch[184] Batch [49]	Speed: 1049.498657 samples/sec	rmse=0.012667	lr=0.006576
Epoch[184] Batch [99]	Speed: 1040.267322 samples/sec	rmse=0.012664	lr=0.006543
Epoch[184] Batch [149]	Speed: 1037.537167 samples/sec	rmse=0.012790	lr=0.006510
Epoch[184] Batch [199]	Speed: 1039.105271 samples/sec	rmse=0.012775	lr=0.006478
Epoch[184] Batch [249]	Speed: 1040.490717 samples/sec	rmse=0.012800	lr=0.006445
Epoch[184] Batch [299]	Speed: 1042.203541 samples/sec	rmse=0.012771	lr=0.006413
Epoch[184] Batch [349]	Speed: 1040.032398 samples/sec	rmse=0.012713	lr=0.006381
Epoch[184] Batch [399]	Speed: 1041.307758 samples/sec	rmse=0.012692	lr=0.006348
Epoch[184] Batch [449]	Speed: 1041.454400 samples/sec	rmse=0.012699	lr=0.006316
Epoch[184] Batch [499]	Speed: 1041.346508 samples/sec	rmse=0.012738	lr=0.006284
Epoch[184] Batch [549]	Speed: 1037.958897 samples/sec	rmse=0.012737	lr=0.006252
Epoch[184] Batch [599]	Speed: 1042.859723 samples/sec	rmse=0.012719	lr=0.006220
Epoch[184] Batch [649]	Speed: 1043.488479 samples/sec	rmse=0.012745	lr=0.006189
Epoch[184] Batch [699]	Speed: 1040.896885 samples/sec	rmse=0.012737	lr=0.006157
Epoch[184] Batch [749]	Speed: 1043.676652 samples/sec	rmse=0.012733	lr=0.006125
Epoch[184] Batch [799]	Speed: 1044.406767 samples/sec	rmse=0.012722	lr=0.006094
Epoch[184] Batch [849]	Speed: 1045.214645 samples/sec	rmse=0.012734	lr=0.006062
Epoch[184] Batch [899]	Speed: 1042.179117 samples/sec	rmse=0.012741	lr=0.006031
Epoch[184] Batch [949]	Speed: 1037.506134 samples/sec	rmse=0.012746	lr=0.005999
Epoch[184] Batch [999]	Speed: 1040.020813 samples/sec	rmse=0.012742	lr=0.005968
Epoch[184] Batch [1049]	Speed: 1043.622386 samples/sec	rmse=0.012745	lr=0.005937
Epoch[184] Batch [1099]	Speed: 1042.359324 samples/sec	rmse=0.012733	lr=0.005906
Epoch[184] Batch [1149]	Speed: 1039.339761 samples/sec	rmse=0.012741	lr=0.005875
Epoch[184] Batch [1199]	Speed: 1043.568862 samples/sec	rmse=0.012753	lr=0.005844
Epoch[184] Batch [1249]	Speed: 1043.087977 samples/sec	rmse=0.012758	lr=0.005813
[Epoch 184] training: rmse=0.012757
[Epoch 184] speed: 1040 samples/sec	time cost: 1243.742869
[Epoch 184] validation: err-top1=0.198461 err-top5=0.050343
Epoch[185] Batch [49]	Speed: 1053.444839 samples/sec	rmse=0.012116	lr=0.005781
Epoch[185] Batch [99]	Speed: 1042.363761 samples/sec	rmse=0.012281	lr=0.005751
Epoch[185] Batch [149]	Speed: 1042.181115 samples/sec	rmse=0.012376	lr=0.005720
Epoch[185] Batch [199]	Speed: 1043.303309 samples/sec	rmse=0.012434	lr=0.005690
Epoch[185] Batch [249]	Speed: 1040.711489 samples/sec	rmse=0.012440	lr=0.005659
Epoch[185] Batch [299]	Speed: 1040.486845 samples/sec	rmse=0.012457	lr=0.005629
Epoch[185] Batch [349]	Speed: 1039.309158 samples/sec	rmse=0.012458	lr=0.005598
Epoch[185] Batch [399]	Speed: 1041.172567 samples/sec	rmse=0.012492	lr=0.005568
Epoch[185] Batch [449]	Speed: 1042.815017 samples/sec	rmse=0.012494	lr=0.005538
Epoch[185] Batch [499]	Speed: 1041.309672 samples/sec	rmse=0.012512	lr=0.005508
Epoch[185] Batch [549]	Speed: 1042.066832 samples/sec	rmse=0.012491	lr=0.005478
Epoch[185] Batch [599]	Speed: 1040.943344 samples/sec	rmse=0.012463	lr=0.005448
Epoch[185] Batch [649]	Speed: 1040.453397 samples/sec	rmse=0.012498	lr=0.005418
Epoch[185] Batch [699]	Speed: 1037.530545 samples/sec	rmse=0.012518	lr=0.005389
Epoch[185] Batch [749]	Speed: 1041.763563 samples/sec	rmse=0.012533	lr=0.005359
Epoch[185] Batch [799]	Speed: 1040.731592 samples/sec	rmse=0.012526	lr=0.005329
Epoch[185] Batch [849]	Speed: 1041.292414 samples/sec	rmse=0.012529	lr=0.005300
Epoch[185] Batch [899]	Speed: 1040.366754 samples/sec	rmse=0.012526	lr=0.005271
Epoch[185] Batch [949]	Speed: 1028.093737 samples/sec	rmse=0.012550	lr=0.005241
Epoch[185] Batch [999]	Speed: 1044.898549 samples/sec	rmse=0.012559	lr=0.005212
Epoch[185] Batch [1049]	Speed: 1031.288419 samples/sec	rmse=0.012552	lr=0.005183
Epoch[185] Batch [1099]	Speed: 1040.805523 samples/sec	rmse=0.012555	lr=0.005154
Epoch[185] Batch [1149]	Speed: 1033.714522 samples/sec	rmse=0.012558	lr=0.005125
Epoch[185] Batch [1199]	Speed: 1037.851247 samples/sec	rmse=0.012562	lr=0.005096
Epoch[185] Batch [1249]	Speed: 1034.305737 samples/sec	rmse=0.012553	lr=0.005067
[Epoch 185] training: rmse=0.012556
[Epoch 185] speed: 1039 samples/sec	time cost: 1245.902506
[Epoch 185] validation: err-top1=0.197883 err-top5=0.050642
Epoch[186] Batch [49]	Speed: 1045.375212 samples/sec	rmse=0.012421	lr=0.005038
Epoch[186] Batch [99]	Speed: 1043.654928 samples/sec	rmse=0.012522	lr=0.005009
Epoch[186] Batch [149]	Speed: 1035.271458 samples/sec	rmse=0.012517	lr=0.004980
Epoch[186] Batch [199]	Speed: 1036.069773 samples/sec	rmse=0.012564	lr=0.004952
Epoch[186] Batch [249]	Speed: 1036.474117 samples/sec	rmse=0.012514	lr=0.004923
Epoch[186] Batch [299]	Speed: 1039.676446 samples/sec	rmse=0.012493	lr=0.004895
Epoch[186] Batch [349]	Speed: 1042.050717 samples/sec	rmse=0.012475	lr=0.004867
Epoch[186] Batch [399]	Speed: 1043.929657 samples/sec	rmse=0.012490	lr=0.004839
Epoch[186] Batch [449]	Speed: 1041.116250 samples/sec	rmse=0.012494	lr=0.004810
Epoch[186] Batch [499]	Speed: 1039.839722 samples/sec	rmse=0.012467	lr=0.004782
Epoch[186] Batch [549]	Speed: 1035.752599 samples/sec	rmse=0.012463	lr=0.004754
Epoch[186] Batch [599]	Speed: 1041.391916 samples/sec	rmse=0.012473	lr=0.004727
Epoch[186] Batch [649]	Speed: 1034.780566 samples/sec	rmse=0.012466	lr=0.004699
Epoch[186] Batch [699]	Speed: 1036.758182 samples/sec	rmse=0.012449	lr=0.004671
Epoch[186] Batch [749]	Speed: 1040.703167 samples/sec	rmse=0.012451	lr=0.004643
Epoch[186] Batch [799]	Speed: 1041.148034 samples/sec	rmse=0.012446	lr=0.004616
Epoch[186] Batch [849]	Speed: 1039.853699 samples/sec	rmse=0.012445	lr=0.004588
Epoch[186] Batch [899]	Speed: 1042.581006 samples/sec	rmse=0.012434	lr=0.004561
Epoch[186] Batch [949]	Speed: 1040.813770 samples/sec	rmse=0.012440	lr=0.004534
Epoch[186] Batch [999]	Speed: 1046.337196 samples/sec	rmse=0.012452	lr=0.004506
Epoch[186] Batch [1049]	Speed: 1042.722513 samples/sec	rmse=0.012469	lr=0.004479
Epoch[186] Batch [1099]	Speed: 1043.292969 samples/sec	rmse=0.012461	lr=0.004452
Epoch[186] Batch [1149]	Speed: 1041.676041 samples/sec	rmse=0.012459	lr=0.004425
Epoch[186] Batch [1199]	Speed: 1040.776004 samples/sec	rmse=0.012452	lr=0.004398
Epoch[186] Batch [1249]	Speed: 1043.611112 samples/sec	rmse=0.012453	lr=0.004372
[Epoch 186] training: rmse=0.012454
[Epoch 186] speed: 1039 samples/sec	time cost: 1245.783817
[Epoch 186] validation: err-top1=0.197774 err-top5=0.049886
Epoch[187] Batch [49]	Speed: 1052.862311 samples/sec	rmse=0.012494	lr=0.004344
Epoch[187] Batch [99]	Speed: 1036.164590 samples/sec	rmse=0.012477	lr=0.004318
Epoch[187] Batch [149]	Speed: 1040.508699 samples/sec	rmse=0.012459	lr=0.004291
Epoch[187] Batch [199]	Speed: 1033.314450 samples/sec	rmse=0.012485	lr=0.004265
Epoch[187] Batch [249]	Speed: 1033.589915 samples/sec	rmse=0.012458	lr=0.004238
Epoch[187] Batch [299]	Speed: 1031.276126 samples/sec	rmse=0.012413	lr=0.004212
Epoch[187] Batch [349]	Speed: 1035.201714 samples/sec	rmse=0.012414	lr=0.004186
Epoch[187] Batch [399]	Speed: 1038.280516 samples/sec	rmse=0.012408	lr=0.004159
Epoch[187] Batch [449]	Speed: 1040.241023 samples/sec	rmse=0.012397	lr=0.004133
Epoch[187] Batch [499]	Speed: 1038.546546 samples/sec	rmse=0.012408	lr=0.004107
Epoch[187] Batch [549]	Speed: 1028.615195 samples/sec	rmse=0.012428	lr=0.004081
Epoch[187] Batch [599]	Speed: 1033.331519 samples/sec	rmse=0.012426	lr=0.004056
Epoch[187] Batch [649]	Speed: 1041.208969 samples/sec	rmse=0.012446	lr=0.004030
Epoch[187] Batch [699]	Speed: 1041.431228 samples/sec	rmse=0.012416	lr=0.004004
Epoch[187] Batch [749]	Speed: 1037.360322 samples/sec	rmse=0.012400	lr=0.003978
Epoch[187] Batch [799]	Speed: 1043.047836 samples/sec	rmse=0.012427	lr=0.003953
Epoch[187] Batch [849]	Speed: 1044.101170 samples/sec	rmse=0.012429	lr=0.003928
Epoch[187] Batch [899]	Speed: 1031.445597 samples/sec	rmse=0.012416	lr=0.003902
Epoch[187] Batch [949]	Speed: 1036.174594 samples/sec	rmse=0.012414	lr=0.003877
Epoch[187] Batch [999]	Speed: 1034.950029 samples/sec	rmse=0.012411	lr=0.003852
Epoch[187] Batch [1049]	Speed: 1038.324126 samples/sec	rmse=0.012405	lr=0.003827
Epoch[187] Batch [1099]	Speed: 1040.504016 samples/sec	rmse=0.012407	lr=0.003802
Epoch[187] Batch [1149]	Speed: 1040.233097 samples/sec	rmse=0.012408	lr=0.003777
Epoch[187] Batch [1199]	Speed: 1041.570558 samples/sec	rmse=0.012395	lr=0.003752
Epoch[187] Batch [1249]	Speed: 1043.556275 samples/sec	rmse=0.012393	lr=0.003727
[Epoch 187] training: rmse=0.012392
[Epoch 187] speed: 1037 samples/sec	time cost: 1248.103141
[Epoch 187] validation: err-top1=0.196528 err-top5=0.050044
Epoch[188] Batch [49]	Speed: 1050.593113 samples/sec	rmse=0.012399	lr=0.003702
Epoch[188] Batch [99]	Speed: 1041.698728 samples/sec	rmse=0.012356	lr=0.003677
Epoch[188] Batch [149]	Speed: 1037.907311 samples/sec	rmse=0.012320	lr=0.003653
Epoch[188] Batch [199]	Speed: 1038.889964 samples/sec	rmse=0.012200	lr=0.003628
Epoch[188] Batch [249]	Speed: 1043.842277 samples/sec	rmse=0.012225	lr=0.003604
Epoch[188] Batch [299]	Speed: 1037.167246 samples/sec	rmse=0.012246	lr=0.003579
Epoch[188] Batch [349]	Speed: 1025.811260 samples/sec	rmse=0.012321	lr=0.003555
Epoch[188] Batch [399]	Speed: 1029.024376 samples/sec	rmse=0.012297	lr=0.003531
Epoch[188] Batch [449]	Speed: 1037.603199 samples/sec	rmse=0.012293	lr=0.003507
Epoch[188] Batch [499]	Speed: 1039.841006 samples/sec	rmse=0.012291	lr=0.003483
Epoch[188] Batch [549]	Speed: 1042.084516 samples/sec	rmse=0.012319	lr=0.003459
Epoch[188] Batch [599]	Speed: 1043.226657 samples/sec	rmse=0.012308	lr=0.003435
Epoch[188] Batch [649]	Speed: 1042.654218 samples/sec	rmse=0.012324	lr=0.003412
Epoch[188] Batch [699]	Speed: 1041.843114 samples/sec	rmse=0.012311	lr=0.003388
Epoch[188] Batch [749]	Speed: 1042.141853 samples/sec	rmse=0.012304	lr=0.003364
Epoch[188] Batch [799]	Speed: 1042.022326 samples/sec	rmse=0.012310	lr=0.003341
Epoch[188] Batch [849]	Speed: 1042.673075 samples/sec	rmse=0.012308	lr=0.003318
Epoch[188] Batch [899]	Speed: 1042.428805 samples/sec	rmse=0.012288	lr=0.003294
Epoch[188] Batch [949]	Speed: 1042.078023 samples/sec	rmse=0.012298	lr=0.003271
Epoch[188] Batch [999]	Speed: 1042.272040 samples/sec	rmse=0.012287	lr=0.003248
Epoch[188] Batch [1049]	Speed: 1040.031834 samples/sec	rmse=0.012296	lr=0.003225
Epoch[188] Batch [1099]	Speed: 1043.299893 samples/sec	rmse=0.012316	lr=0.003202
Epoch[188] Batch [1149]	Speed: 1040.036468 samples/sec	rmse=0.012318	lr=0.003179
Epoch[188] Batch [1199]	Speed: 1038.591932 samples/sec	rmse=0.012311	lr=0.003156
Epoch[188] Batch [1249]	Speed: 1042.807062 samples/sec	rmse=0.012308	lr=0.003133
[Epoch 188] training: rmse=0.012311
[Epoch 188] speed: 1039 samples/sec	time cost: 1245.682014
[Epoch 188] validation: err-top1=0.196369 err-top5=0.050542
Epoch[189] Batch [49]	Speed: 1046.562395 samples/sec	rmse=0.011961	lr=0.003110
Epoch[189] Batch [99]	Speed: 1042.287571 samples/sec	rmse=0.011911	lr=0.003088
Epoch[189] Batch [149]	Speed: 1030.010093 samples/sec	rmse=0.011963	lr=0.003065
Epoch[189] Batch [199]	Speed: 1038.738583 samples/sec	rmse=0.011911	lr=0.003043
Epoch[189] Batch [249]	Speed: 1036.947945 samples/sec	rmse=0.011979	lr=0.003020
Epoch[189] Batch [299]	Speed: 1036.375492 samples/sec	rmse=0.012006	lr=0.002998
Epoch[189] Batch [349]	Speed: 1038.284165 samples/sec	rmse=0.011993	lr=0.002976
Epoch[189] Batch [399]	Speed: 1033.598248 samples/sec	rmse=0.012073	lr=0.002954
Epoch[189] Batch [449]	Speed: 1041.461304 samples/sec	rmse=0.012072	lr=0.002932
Epoch[189] Batch [499]	Speed: 1035.251609 samples/sec	rmse=0.012112	lr=0.002910
Epoch[189] Batch [549]	Speed: 1034.522118 samples/sec	rmse=0.012116	lr=0.002888
Epoch[189] Batch [599]	Speed: 1030.888233 samples/sec	rmse=0.012113	lr=0.002866
Epoch[189] Batch [649]	Speed: 1040.683675 samples/sec	rmse=0.012111	lr=0.002845
Epoch[189] Batch [699]	Speed: 1036.601727 samples/sec	rmse=0.012120	lr=0.002823
Epoch[189] Batch [749]	Speed: 1041.788574 samples/sec	rmse=0.012122	lr=0.002801
Epoch[189] Batch [799]	Speed: 1030.116162 samples/sec	rmse=0.012131	lr=0.002780
Epoch[189] Batch [849]	Speed: 1035.763569 samples/sec	rmse=0.012139	lr=0.002759
Epoch[189] Batch [899]	Speed: 1034.206514 samples/sec	rmse=0.012116	lr=0.002737
Epoch[189] Batch [949]	Speed: 1036.536287 samples/sec	rmse=0.012114	lr=0.002716
Epoch[189] Batch [999]	Speed: 1036.915330 samples/sec	rmse=0.012117	lr=0.002695
Epoch[189] Batch [1049]	Speed: 1040.919841 samples/sec	rmse=0.012125	lr=0.002674
Epoch[189] Batch [1099]	Speed: 1035.674075 samples/sec	rmse=0.012137	lr=0.002653
Epoch[189] Batch [1149]	Speed: 1037.635682 samples/sec	rmse=0.012132	lr=0.002632
Epoch[189] Batch [1199]	Speed: 1039.748902 samples/sec	rmse=0.012139	lr=0.002611
Epoch[189] Batch [1249]	Speed: 1035.657922 samples/sec	rmse=0.012124	lr=0.002591
[Epoch 189] training: rmse=0.012124
[Epoch 189] speed: 1036 samples/sec	time cost: 1249.719339
[Epoch 189] validation: err-top1=0.196468 err-top5=0.049725
Epoch[190] Batch [49]	Speed: 1055.576467 samples/sec	rmse=0.012085	lr=0.002570
Epoch[190] Batch [99]	Speed: 1040.653961 samples/sec	rmse=0.011959	lr=0.002549
Epoch[190] Batch [149]	Speed: 1044.923294 samples/sec	rmse=0.011992	lr=0.002529
Epoch[190] Batch [199]	Speed: 1039.698573 samples/sec	rmse=0.012062	lr=0.002508
Epoch[190] Batch [249]	Speed: 1042.036458 samples/sec	rmse=0.012042	lr=0.002488
Epoch[190] Batch [299]	Speed: 1040.492602 samples/sec	rmse=0.012062	lr=0.002468
Epoch[190] Batch [349]	Speed: 1039.234500 samples/sec	rmse=0.012063	lr=0.002448
Epoch[190] Batch [399]	Speed: 1041.201603 samples/sec	rmse=0.012053	lr=0.002428
Epoch[190] Batch [449]	Speed: 1039.856796 samples/sec	rmse=0.012012	lr=0.002408
Epoch[190] Batch [499]	Speed: 1039.244000 samples/sec	rmse=0.012021	lr=0.002388
Epoch[190] Batch [549]	Speed: 1042.988034 samples/sec	rmse=0.012039	lr=0.002368
Epoch[190] Batch [599]	Speed: 1042.802525 samples/sec	rmse=0.012069	lr=0.002348
Epoch[190] Batch [649]	Speed: 1042.505265 samples/sec	rmse=0.012067	lr=0.002329
Epoch[190] Batch [699]	Speed: 1041.665218 samples/sec	rmse=0.012078	lr=0.002309
Epoch[190] Batch [749]	Speed: 1041.800118 samples/sec	rmse=0.012088	lr=0.002290
Epoch[190] Batch [799]	Speed: 1037.356393 samples/sec	rmse=0.012081	lr=0.002270
Epoch[190] Batch [849]	Speed: 1039.670084 samples/sec	rmse=0.012075	lr=0.002251
Epoch[190] Batch [899]	Speed: 1038.379920 samples/sec	rmse=0.012070	lr=0.002232
Epoch[190] Batch [949]	Speed: 1041.823898 samples/sec	rmse=0.012075	lr=0.002213
Epoch[190] Batch [999]	Speed: 1035.164703 samples/sec	rmse=0.012058	lr=0.002194
Epoch[190] Batch [1049]	Speed: 1042.210334 samples/sec	rmse=0.012067	lr=0.002175
Epoch[190] Batch [1099]	Speed: 1036.213082 samples/sec	rmse=0.012077	lr=0.002156
Epoch[190] Batch [1149]	Speed: 1038.583182 samples/sec	rmse=0.012072	lr=0.002137
Epoch[190] Batch [1199]	Speed: 1039.059252 samples/sec	rmse=0.012072	lr=0.002118
Epoch[190] Batch [1249]	Speed: 1042.480609 samples/sec	rmse=0.012097	lr=0.002099
[Epoch 190] training: rmse=0.012096
[Epoch 190] speed: 1039 samples/sec	time cost: 1244.936718
[Epoch 190] validation: err-top1=0.195552 err-top5=0.049805
Epoch[191] Batch [49]	Speed: 1053.513785 samples/sec	rmse=0.011896	lr=0.002081
Epoch[191] Batch [99]	Speed: 1038.856865 samples/sec	rmse=0.012092	lr=0.002062
Epoch[191] Batch [149]	Speed: 1039.139960 samples/sec	rmse=0.011960	lr=0.002044
Epoch[191] Batch [199]	Speed: 1040.759444 samples/sec	rmse=0.012003	lr=0.002025
Epoch[191] Batch [249]	Speed: 1037.478526 samples/sec	rmse=0.011986	lr=0.002007
Epoch[191] Batch [299]	Speed: 1035.639228 samples/sec	rmse=0.011958	lr=0.001989
Epoch[191] Batch [349]	Speed: 1039.961005 samples/sec	rmse=0.011935	lr=0.001971
Epoch[191] Batch [399]	Speed: 1042.271514 samples/sec	rmse=0.011970	lr=0.001953
Epoch[191] Batch [449]	Speed: 1038.807758 samples/sec	rmse=0.011946	lr=0.001935
Epoch[191] Batch [499]	Speed: 1031.735795 samples/sec	rmse=0.011967	lr=0.001917
Epoch[191] Batch [549]	Speed: 1038.147861 samples/sec	rmse=0.011939	lr=0.001899
Epoch[191] Batch [599]	Speed: 1042.848769 samples/sec	rmse=0.011977	lr=0.001882
Epoch[191] Batch [649]	Speed: 1036.948376 samples/sec	rmse=0.011965	lr=0.001864
Epoch[191] Batch [699]	Speed: 1040.359860 samples/sec	rmse=0.011971	lr=0.001847
Epoch[191] Batch [749]	Speed: 1038.438764 samples/sec	rmse=0.011970	lr=0.001829
Epoch[191] Batch [799]	Speed: 1041.431339 samples/sec	rmse=0.012022	lr=0.001812
Epoch[191] Batch [849]	Speed: 1042.952814 samples/sec	rmse=0.012024	lr=0.001795
Epoch[191] Batch [899]	Speed: 1039.191603 samples/sec	rmse=0.012034	lr=0.001777
Epoch[191] Batch [949]	Speed: 1038.053985 samples/sec	rmse=0.012015	lr=0.001760
Epoch[191] Batch [999]	Speed: 1033.354899 samples/sec	rmse=0.012023	lr=0.001743
Epoch[191] Batch [1049]	Speed: 1026.171181 samples/sec	rmse=0.012024	lr=0.001726
Epoch[191] Batch [1099]	Speed: 1037.855736 samples/sec	rmse=0.012028	lr=0.001710
Epoch[191] Batch [1149]	Speed: 1043.306148 samples/sec	rmse=0.012008	lr=0.001693
Epoch[191] Batch [1199]	Speed: 1041.953849 samples/sec	rmse=0.012008	lr=0.001676
Epoch[191] Batch [1249]	Speed: 1044.588701 samples/sec	rmse=0.012014	lr=0.001660
[Epoch 191] training: rmse=0.012013
[Epoch 191] speed: 1038 samples/sec	time cost: 1246.314543
[Epoch 191] validation: err-top1=0.194132 err-top5=0.049540
Epoch[192] Batch [49]	Speed: 1054.969330 samples/sec	rmse=0.011703	lr=0.001643
Epoch[192] Batch [99]	Speed: 1044.200606 samples/sec	rmse=0.011603	lr=0.001626
Epoch[192] Batch [149]	Speed: 1040.657017 samples/sec	rmse=0.011630	lr=0.001610
Epoch[192] Batch [199]	Speed: 1040.047605 samples/sec	rmse=0.011749	lr=0.001594
Epoch[192] Batch [249]	Speed: 1041.799592 samples/sec	rmse=0.011799	lr=0.001577
Epoch[192] Batch [299]	Speed: 1037.409352 samples/sec	rmse=0.011847	lr=0.001561
Epoch[192] Batch [349]	Speed: 1031.065121 samples/sec	rmse=0.011860	lr=0.001545
Epoch[192] Batch [399]	Speed: 1035.873730 samples/sec	rmse=0.011881	lr=0.001529
Epoch[192] Batch [449]	Speed: 1038.975290 samples/sec	rmse=0.011860	lr=0.001514
Epoch[192] Batch [499]	Speed: 1024.792992 samples/sec	rmse=0.011882	lr=0.001498
Epoch[192] Batch [549]	Speed: 1036.668446 samples/sec	rmse=0.011911	lr=0.001482
Epoch[192] Batch [599]	Speed: 1037.641287 samples/sec	rmse=0.011900	lr=0.001466
Epoch[192] Batch [649]	Speed: 1038.996247 samples/sec	rmse=0.011868	lr=0.001451
Epoch[192] Batch [699]	Speed: 1026.527031 samples/sec	rmse=0.011872	lr=0.001435
Epoch[192] Batch [749]	Speed: 1037.139802 samples/sec	rmse=0.011890	lr=0.001420
Epoch[192] Batch [799]	Speed: 1043.271672 samples/sec	rmse=0.011882	lr=0.001405
Epoch[192] Batch [849]	Speed: 1041.998739 samples/sec	rmse=0.011924	lr=0.001390
Epoch[192] Batch [899]	Speed: 1040.926643 samples/sec	rmse=0.011913	lr=0.001375
Epoch[192] Batch [949]	Speed: 1044.234351 samples/sec	rmse=0.011917	lr=0.001360
Epoch[192] Batch [999]	Speed: 1036.155506 samples/sec	rmse=0.011940	lr=0.001345
Epoch[192] Batch [1049]	Speed: 1039.779692 samples/sec	rmse=0.011950	lr=0.001330
Epoch[192] Batch [1099]	Speed: 1037.425765 samples/sec	rmse=0.011963	lr=0.001315
Epoch[192] Batch [1149]	Speed: 1031.799797 samples/sec	rmse=0.011953	lr=0.001300
Epoch[192] Batch [1199]	Speed: 1041.167872 samples/sec	rmse=0.011957	lr=0.001286
Epoch[192] Batch [1249]	Speed: 1043.585536 samples/sec	rmse=0.011973	lr=0.001271
[Epoch 192] training: rmse=0.011972
[Epoch 192] speed: 1037 samples/sec	time cost: 1247.472766
[Epoch 192] validation: err-top1=0.194316 err-top5=0.049566
Epoch[193] Batch [49]	Speed: 1053.064192 samples/sec	rmse=0.011865	lr=0.001256
Epoch[193] Batch [99]	Speed: 1041.153243 samples/sec	rmse=0.012003	lr=0.001242
Epoch[193] Batch [149]	Speed: 1043.980300 samples/sec	rmse=0.012038	lr=0.001228
Epoch[193] Batch [199]	Speed: 1042.058084 samples/sec	rmse=0.012054	lr=0.001213
Epoch[193] Batch [249]	Speed: 1041.260363 samples/sec	rmse=0.012062	lr=0.001199
Epoch[193] Batch [299]	Speed: 1043.236073 samples/sec	rmse=0.012063	lr=0.001185
Epoch[193] Batch [349]	Speed: 1037.639222 samples/sec	rmse=0.012006	lr=0.001171
Epoch[193] Batch [399]	Speed: 1042.093350 samples/sec	rmse=0.012010	lr=0.001157
Epoch[193] Batch [449]	Speed: 1044.471706 samples/sec	rmse=0.011999	lr=0.001144
Epoch[193] Batch [499]	Speed: 1040.180353 samples/sec	rmse=0.011977	lr=0.001130
Epoch[193] Batch [549]	Speed: 1040.969421 samples/sec	rmse=0.011967	lr=0.001116
Epoch[193] Batch [599]	Speed: 1040.769966 samples/sec	rmse=0.011969	lr=0.001103
Epoch[193] Batch [649]	Speed: 1041.626616 samples/sec	rmse=0.011954	lr=0.001089
Epoch[193] Batch [699]	Speed: 1043.102549 samples/sec	rmse=0.011954	lr=0.001076
Epoch[193] Batch [749]	Speed: 1041.451652 samples/sec	rmse=0.011953	lr=0.001063
Epoch[193] Batch [799]	Speed: 1045.152752 samples/sec	rmse=0.011943	lr=0.001049
Epoch[193] Batch [849]	Speed: 1040.429952 samples/sec	rmse=0.011953	lr=0.001036
Epoch[193] Batch [899]	Speed: 1041.068892 samples/sec	rmse=0.011969	lr=0.001023
Epoch[193] Batch [949]	Speed: 1043.114395 samples/sec	rmse=0.011983	lr=0.001010
Epoch[193] Batch [999]	Speed: 1041.103101 samples/sec	rmse=0.011993	lr=0.000997
Epoch[193] Batch [1049]	Speed: 1043.046018 samples/sec	rmse=0.011993	lr=0.000985
Epoch[193] Batch [1099]	Speed: 1043.909059 samples/sec	rmse=0.012002	lr=0.000972
Epoch[193] Batch [1149]	Speed: 1045.747401 samples/sec	rmse=0.012004	lr=0.000959
Epoch[193] Batch [1199]	Speed: 1044.245314 samples/sec	rmse=0.012008	lr=0.000947
Epoch[193] Batch [1249]	Speed: 1044.549710 samples/sec	rmse=0.011998	lr=0.000934
[Epoch 193] training: rmse=0.011999
[Epoch 193] speed: 1041 samples/sec	time cost: 1243.563828
[Epoch 193] validation: err-top1=0.194017 err-top5=0.049625
Epoch[194] Batch [49]	Speed: 1054.928762 samples/sec	rmse=0.011693	lr=0.000922
Epoch[194] Batch [99]	Speed: 1042.788184 samples/sec	rmse=0.011648	lr=0.000909
Epoch[194] Batch [149]	Speed: 1041.049895 samples/sec	rmse=0.011777	lr=0.000897
Epoch[194] Batch [199]	Speed: 1041.906739 samples/sec	rmse=0.011750	lr=0.000885
Epoch[194] Batch [249]	Speed: 1042.946660 samples/sec	rmse=0.011805	lr=0.000873
Epoch[194] Batch [299]	Speed: 1042.417648 samples/sec	rmse=0.011767	lr=0.000861
Epoch[194] Batch [349]	Speed: 1043.563010 samples/sec	rmse=0.011801	lr=0.000849
Epoch[194] Batch [399]	Speed: 1042.065669 samples/sec	rmse=0.011808	lr=0.000837
Epoch[194] Batch [449]	Speed: 1043.215665 samples/sec	rmse=0.011814	lr=0.000825
Epoch[194] Batch [499]	Speed: 1037.008449 samples/sec	rmse=0.011790	lr=0.000814
Epoch[194] Batch [549]	Speed: 1042.011551 samples/sec	rmse=0.011808	lr=0.000802
Epoch[194] Batch [599]	Speed: 1043.433594 samples/sec	rmse=0.011795	lr=0.000791
Epoch[194] Batch [649]	Speed: 1041.953510 samples/sec	rmse=0.011814	lr=0.000779
Epoch[194] Batch [699]	Speed: 1043.445276 samples/sec	rmse=0.011812	lr=0.000768
Epoch[194] Batch [749]	Speed: 1043.721604 samples/sec	rmse=0.011813	lr=0.000757
Epoch[194] Batch [799]	Speed: 1044.740247 samples/sec	rmse=0.011805	lr=0.000746
Epoch[194] Batch [849]	Speed: 1040.916335 samples/sec	rmse=0.011832	lr=0.000735
Epoch[194] Batch [899]	Speed: 1034.536207 samples/sec	rmse=0.011826	lr=0.000724
Epoch[194] Batch [949]	Speed: 1041.392765 samples/sec	rmse=0.011831	lr=0.000713
Epoch[194] Batch [999]	Speed: 1040.629039 samples/sec	rmse=0.011824	lr=0.000702
Epoch[194] Batch [1049]	Speed: 1040.937602 samples/sec	rmse=0.011867	lr=0.000691
Epoch[194] Batch [1099]	Speed: 1040.158406 samples/sec	rmse=0.011879	lr=0.000680
Epoch[194] Batch [1149]	Speed: 1034.854087 samples/sec	rmse=0.011862	lr=0.000670
Epoch[194] Batch [1199]	Speed: 1043.826954 samples/sec	rmse=0.011855	lr=0.000659
Epoch[194] Batch [1249]	Speed: 1043.219785 samples/sec	rmse=0.011866	lr=0.000649
[Epoch 194] training: rmse=0.011866
[Epoch 194] speed: 1041 samples/sec	time cost: 1243.633000
[Epoch 194] validation: err-top1=0.193459 err-top5=0.048768
Epoch[195] Batch [49]	Speed: 1049.761610 samples/sec	rmse=0.011981	lr=0.000638
Epoch[195] Batch [99]	Speed: 1040.098189 samples/sec	rmse=0.011930	lr=0.000628
Epoch[195] Batch [149]	Speed: 1037.411813 samples/sec	rmse=0.011877	lr=0.000618
Epoch[195] Batch [199]	Speed: 1039.745761 samples/sec	rmse=0.011860	lr=0.000608
Epoch[195] Batch [249]	Speed: 1038.027010 samples/sec	rmse=0.011815	lr=0.000598
Epoch[195] Batch [299]	Speed: 1038.393778 samples/sec	rmse=0.011800	lr=0.000588
Epoch[195] Batch [349]	Speed: 1040.856035 samples/sec	rmse=0.011849	lr=0.000578
Epoch[195] Batch [399]	Speed: 1039.612344 samples/sec	rmse=0.011821	lr=0.000568
Epoch[195] Batch [449]	Speed: 1041.423551 samples/sec	rmse=0.011813	lr=0.000559
Epoch[195] Batch [499]	Speed: 1037.118144 samples/sec	rmse=0.011835	lr=0.000549
Epoch[195] Batch [549]	Speed: 1038.808205 samples/sec	rmse=0.011847	lr=0.000540
Epoch[195] Batch [599]	Speed: 1039.350430 samples/sec	rmse=0.011833	lr=0.000530
Epoch[195] Batch [649]	Speed: 1042.066205 samples/sec	rmse=0.011845	lr=0.000521
Epoch[195] Batch [699]	Speed: 1043.450194 samples/sec	rmse=0.011817	lr=0.000512
Epoch[195] Batch [749]	Speed: 1040.795081 samples/sec	rmse=0.011813	lr=0.000503
Epoch[195] Batch [799]	Speed: 1040.278388 samples/sec	rmse=0.011803	lr=0.000493
Epoch[195] Batch [849]	Speed: 1043.118803 samples/sec	rmse=0.011820	lr=0.000484
Epoch[195] Batch [899]	Speed: 1042.716782 samples/sec	rmse=0.011830	lr=0.000476
Epoch[195] Batch [949]	Speed: 1041.867781 samples/sec	rmse=0.011818	lr=0.000467
Epoch[195] Batch [999]	Speed: 1040.752938 samples/sec	rmse=0.011828	lr=0.000458
Epoch[195] Batch [1049]	Speed: 1041.431859 samples/sec	rmse=0.011829	lr=0.000449
Epoch[195] Batch [1099]	Speed: 1041.773650 samples/sec	rmse=0.011806	lr=0.000441
Epoch[195] Batch [1149]	Speed: 1042.206975 samples/sec	rmse=0.011836	lr=0.000432
Epoch[195] Batch [1199]	Speed: 1043.515424 samples/sec	rmse=0.011840	lr=0.000424
Epoch[195] Batch [1249]	Speed: 1044.175605 samples/sec	rmse=0.011847	lr=0.000415
[Epoch 195] training: rmse=0.011847
[Epoch 195] speed: 1040 samples/sec	time cost: 1244.500925
[Epoch 195] validation: err-top1=0.193399 err-top5=0.048768
Epoch[196] Batch [49]	Speed: 1055.886067 samples/sec	rmse=0.011806	lr=0.000407
Epoch[196] Batch [99]	Speed: 1040.635358 samples/sec	rmse=0.012082	lr=0.000399
Epoch[196] Batch [149]	Speed: 1040.081409 samples/sec	rmse=0.012059	lr=0.000391
Epoch[196] Batch [199]	Speed: 1042.471171 samples/sec	rmse=0.012006	lr=0.000383
Epoch[196] Batch [249]	Speed: 1032.903286 samples/sec	rmse=0.011967	lr=0.000375
Epoch[196] Batch [299]	Speed: 1034.691476 samples/sec	rmse=0.011928	lr=0.000367
Epoch[196] Batch [349]	Speed: 1042.338034 samples/sec	rmse=0.011859	lr=0.000359
Epoch[196] Batch [399]	Speed: 1039.474377 samples/sec	rmse=0.011856	lr=0.000352
Epoch[196] Batch [449]	Speed: 1037.173578 samples/sec	rmse=0.011816	lr=0.000344
Epoch[196] Batch [499]	Speed: 1035.114922 samples/sec	rmse=0.011833	lr=0.000336
Epoch[196] Batch [549]	Speed: 1038.786990 samples/sec	rmse=0.011820	lr=0.000329
Epoch[196] Batch [599]	Speed: 1035.190167 samples/sec	rmse=0.011823	lr=0.000322
Epoch[196] Batch [649]	Speed: 1037.028786 samples/sec	rmse=0.011813	lr=0.000314
Epoch[196] Batch [699]	Speed: 1037.198930 samples/sec	rmse=0.011792	lr=0.000307
Epoch[196] Batch [749]	Speed: 1040.502740 samples/sec	rmse=0.011811	lr=0.000300
Epoch[196] Batch [799]	Speed: 1028.236459 samples/sec	rmse=0.011803	lr=0.000293
Epoch[196] Batch [849]	Speed: 1041.087717 samples/sec	rmse=0.011784	lr=0.000286
Epoch[196] Batch [899]	Speed: 1044.327083 samples/sec	rmse=0.011785	lr=0.000279
Epoch[196] Batch [949]	Speed: 1039.833141 samples/sec	rmse=0.011782	lr=0.000273
Epoch[196] Batch [999]	Speed: 1041.880443 samples/sec	rmse=0.011778	lr=0.000266
Epoch[196] Batch [1049]	Speed: 1040.000918 samples/sec	rmse=0.011786	lr=0.000259
Epoch[196] Batch [1099]	Speed: 1040.193513 samples/sec	rmse=0.011795	lr=0.000253
Epoch[196] Batch [1149]	Speed: 1039.163231 samples/sec	rmse=0.011799	lr=0.000246
Epoch[196] Batch [1199]	Speed: 1036.375282 samples/sec	rmse=0.011804	lr=0.000240
Epoch[196] Batch [1249]	Speed: 1042.728072 samples/sec	rmse=0.011796	lr=0.000234
[Epoch 196] training: rmse=0.011794
[Epoch 196] speed: 1038 samples/sec	time cost: 1246.832676
[Epoch 196] validation: err-top1=0.193479 err-top5=0.048868
Epoch[197] Batch [49]	Speed: 1053.374341 samples/sec	rmse=0.011905	lr=0.000227
Epoch[197] Batch [99]	Speed: 1041.462986 samples/sec	rmse=0.011721	lr=0.000221
Epoch[197] Batch [149]	Speed: 1041.761451 samples/sec	rmse=0.011744	lr=0.000215
Epoch[197] Batch [199]	Speed: 1043.238870 samples/sec	rmse=0.011753	lr=0.000209
Epoch[197] Batch [249]	Speed: 1043.852542 samples/sec	rmse=0.011763	lr=0.000204
Epoch[197] Batch [299]	Speed: 1044.371817 samples/sec	rmse=0.011813	lr=0.000198
Epoch[197] Batch [349]	Speed: 1040.142612 samples/sec	rmse=0.011818	lr=0.000192
Epoch[197] Batch [399]	Speed: 1042.228579 samples/sec	rmse=0.011814	lr=0.000187
Epoch[197] Batch [449]	Speed: 1041.523412 samples/sec	rmse=0.011809	lr=0.000181
Epoch[197] Batch [499]	Speed: 1043.178458 samples/sec	rmse=0.011829	lr=0.000176
Epoch[197] Batch [549]	Speed: 1040.626493 samples/sec	rmse=0.011803	lr=0.000170
Epoch[197] Batch [599]	Speed: 1041.541531 samples/sec	rmse=0.011821	lr=0.000165
Epoch[197] Batch [649]	Speed: 1039.505603 samples/sec	rmse=0.011805	lr=0.000160
Epoch[197] Batch [699]	Speed: 1041.179800 samples/sec	rmse=0.011826	lr=0.000155
Epoch[197] Batch [749]	Speed: 1033.977092 samples/sec	rmse=0.011829	lr=0.000150
Epoch[197] Batch [799]	Speed: 1038.401973 samples/sec	rmse=0.011833	lr=0.000145
Epoch[197] Batch [849]	Speed: 1038.344399 samples/sec	rmse=0.011825	lr=0.000140
Epoch[197] Batch [899]	Speed: 1031.837579 samples/sec	rmse=0.011847	lr=0.000135
Epoch[197] Batch [949]	Speed: 1038.816577 samples/sec	rmse=0.011838	lr=0.000130
Epoch[197] Batch [999]	Speed: 1037.950870 samples/sec	rmse=0.011848	lr=0.000126
Epoch[197] Batch [1049]	Speed: 1034.403660 samples/sec	rmse=0.011849	lr=0.000121
Epoch[197] Batch [1099]	Speed: 1044.085342 samples/sec	rmse=0.011843	lr=0.000117
Epoch[197] Batch [1149]	Speed: 1041.522386 samples/sec	rmse=0.011834	lr=0.000112
Epoch[197] Batch [1199]	Speed: 1031.973006 samples/sec	rmse=0.011851	lr=0.000108
Epoch[197] Batch [1249]	Speed: 1041.958328 samples/sec	rmse=0.011849	lr=0.000104
[Epoch 197] training: rmse=0.011848
[Epoch 197] speed: 1039 samples/sec	time cost: 1245.036075
[Epoch 197] validation: err-top1=0.193237 err-top5=0.048747
Epoch[198] Batch [49]	Speed: 1049.848542 samples/sec	rmse=0.011528	lr=0.000100
Epoch[198] Batch [99]	Speed: 1032.746999 samples/sec	rmse=0.011749	lr=0.000096
Epoch[198] Batch [149]	Speed: 1041.313020 samples/sec	rmse=0.012014	lr=0.000092
Epoch[198] Batch [199]	Speed: 1043.931666 samples/sec	rmse=0.011891	lr=0.000088
Epoch[198] Batch [249]	Speed: 1041.109476 samples/sec	rmse=0.011867	lr=0.000084
Epoch[198] Batch [299]	Speed: 1037.715948 samples/sec	rmse=0.011860	lr=0.000080
Epoch[198] Batch [349]	Speed: 1044.933854 samples/sec	rmse=0.011809	lr=0.000077
Epoch[198] Batch [399]	Speed: 1037.570954 samples/sec	rmse=0.011791	lr=0.000073
Epoch[198] Batch [449]	Speed: 1039.349580 samples/sec	rmse=0.011811	lr=0.000070
Epoch[198] Batch [499]	Speed: 1040.351710 samples/sec	rmse=0.011825	lr=0.000067
Epoch[198] Batch [549]	Speed: 1042.479242 samples/sec	rmse=0.011859	lr=0.000063
Epoch[198] Batch [599]	Speed: 1038.806688 samples/sec	rmse=0.011874	lr=0.000060
Epoch[198] Batch [649]	Speed: 1039.434936 samples/sec	rmse=0.011858	lr=0.000057
Epoch[198] Batch [699]	Speed: 1040.661616 samples/sec	rmse=0.011843	lr=0.000054
Epoch[198] Batch [749]	Speed: 1038.428816 samples/sec	rmse=0.011845	lr=0.000051
Epoch[198] Batch [799]	Speed: 1024.536365 samples/sec	rmse=0.011821	lr=0.000048
Epoch[198] Batch [849]	Speed: 1036.962601 samples/sec	rmse=0.011816	lr=0.000045
Epoch[198] Batch [899]	Speed: 1038.731307 samples/sec	rmse=0.011812	lr=0.000043
Epoch[198] Batch [949]	Speed: 1040.328688 samples/sec	rmse=0.011790	lr=0.000040
Epoch[198] Batch [999]	Speed: 1037.853719 samples/sec	rmse=0.011798	lr=0.000037
Epoch[198] Batch [1049]	Speed: 1040.140914 samples/sec	rmse=0.011783	lr=0.000035
Epoch[198] Batch [1099]	Speed: 1046.581297 samples/sec	rmse=0.011796	lr=0.000033
Epoch[198] Batch [1149]	Speed: 1041.109900 samples/sec	rmse=0.011792	lr=0.000030
Epoch[198] Batch [1199]	Speed: 1040.209118 samples/sec	rmse=0.011790	lr=0.000028
Epoch[198] Batch [1249]	Speed: 1043.277597 samples/sec	rmse=0.011792	lr=0.000026
[Epoch 198] training: rmse=0.011791
[Epoch 198] speed: 1039 samples/sec	time cost: 1245.809179
[Epoch 198] validation: err-top1=0.193678 err-top5=0.048250
Epoch[199] Batch [49]	Speed: 1056.830881 samples/sec	rmse=0.011538	lr=0.000024
Epoch[199] Batch [99]	Speed: 1038.702127 samples/sec	rmse=0.011689	lr=0.000022
Epoch[199] Batch [149]	Speed: 1039.072977 samples/sec	rmse=0.011593	lr=0.000020
Epoch[199] Batch [199]	Speed: 1037.350280 samples/sec	rmse=0.011683	lr=0.000018
Epoch[199] Batch [249]	Speed: 1034.194436 samples/sec	rmse=0.011663	lr=0.000017
Epoch[199] Batch [299]	Speed: 1042.401011 samples/sec	rmse=0.011669	lr=0.000015
Epoch[199] Batch [349]	Speed: 1040.108642 samples/sec	rmse=0.011710	lr=0.000013
Epoch[199] Batch [399]	Speed: 1031.580118 samples/sec	rmse=0.011725	lr=0.000012
Epoch[199] Batch [449]	Speed: 1032.642974 samples/sec	rmse=0.011766	lr=0.000011
Epoch[199] Batch [499]	Speed: 1028.600685 samples/sec	rmse=0.011810	lr=0.000009
Epoch[199] Batch [549]	Speed: 1041.826369 samples/sec	rmse=0.011762	lr=0.000008
Epoch[199] Batch [599]	Speed: 1037.992536 samples/sec	rmse=0.011758	lr=0.000007
Epoch[199] Batch [649]	Speed: 1036.294543 samples/sec	rmse=0.011786	lr=0.000006
Epoch[199] Batch [699]	Speed: 1032.541125 samples/sec	rmse=0.011784	lr=0.000005
Epoch[199] Batch [749]	Speed: 1035.883494 samples/sec	rmse=0.011784	lr=0.000004
Epoch[199] Batch [799]	Speed: 1038.737457 samples/sec	rmse=0.011779	lr=0.000003
Epoch[199] Batch [849]	Speed: 1039.312991 samples/sec	rmse=0.011784	lr=0.000003
Epoch[199] Batch [899]	Speed: 1040.306019 samples/sec	rmse=0.011801	lr=0.000002
Epoch[199] Batch [949]	Speed: 1037.596331 samples/sec	rmse=0.011781	lr=0.000002
Epoch[199] Batch [999]	Speed: 1036.555129 samples/sec	rmse=0.011771	lr=0.000001
Epoch[199] Batch [1049]	Speed: 1039.406722 samples/sec	rmse=0.011765	lr=0.000001
Epoch[199] Batch [1099]	Speed: 1039.697355 samples/sec	rmse=0.011770	lr=0.000000
Epoch[199] Batch [1149]	Speed: 1039.412553 samples/sec	rmse=0.011761	lr=0.000000
Epoch[199] Batch [1199]	Speed: 1042.328619 samples/sec	rmse=0.011753	lr=0.000000
Epoch[199] Batch [1249]	Speed: 1042.927975 samples/sec	rmse=0.011747	lr=0.000000
[Epoch 199] training: rmse=0.011749
[Epoch 199] speed: 1037 samples/sec	time cost: 1247.326614
[Epoch 199] validation: err-top1=0.193100 err-top5=0.048489