gy20073 / compact_bilinear_pooling Goto Github PK

MatConvNet and Caffe repo with compact bilinear and bilinear pooling functionality added

MATLAB 4.27% M 0.02% Python 4.30% Makefile 0.36% CMake 1.03% Shell 0.52% HTML 0.07% CSS 0.12% Jupyter Notebook 51.89% C++ 31.23% C 0.32% Cuda 4.76% TeX 1.09% JavaScript 0.01% Dockerfile 0.03%

compact_bilinear_pooling's People

Contributors

Stargazers

Watchers

Forkers

geshiming shaoli-huang trantorznh liaoyue1994 cvwer xuguozhi hyzcn omar-florez xhhong caomw benjamesbabala datouwawa rongchangzhao htyao89 martin-velas ucasqcz zhunzhong07 pchank liangzimei zhangleuestc yangjingyi lightbillow 3dmm-icme2023 zhangshaohua melody86 dreadlord1984 jizhihang lzh990711 chenbinghui1 sandareka medivhgu billhhh lji72 kyleisthename tianshuichen daaiyiyejian dzzhou0409 dengshuo wangzhe0623 q512624756 myqlee xupiepie jryongithub sunting78 zhaoluo mygit007hub december-boy mqchen1993 tqdavid arqlalala jnulzl wolfworld6 yanyan8672 klqulei caidonkey mathpopo keepersecond zbn123 xiechoah fatejzz mubasharaak

compact_bilinear_pooling's Issues

CompactBilinearParameter not defined

Hello I had changed caffe as readme described
But still get error when I compile caffe
CompactBilinearParameter is not defined

parameters memory

hi ,@gy20073, I want to know why the parameters memory of full bilinear model is 0? And how do you get cbp's parameter computational complexity?

it's difficult to train the model ,is the any trick to train the model

I have trained the cbp for a week ,but the loss doesn't decline much ,it's difficult to
converge。Below it's the log

I0517 21:02:28.022853 6025 solver.cpp:237] Train net output #0: loss = 2.74113 (* 1 = 2.74113 loss)
I0517 21:02:28.023331 6025 sgd_solver.cpp:105] Iteration 1000, lr = 0.001
I0517 21:03:35.350664 6025 solver.cpp:218] Iteration 1100 (1.48531 iter/s, 67.3258s/100 iters), loss = 3.62911
I0517 21:03:35.350899 6025 solver.cpp:237] Train net output #0: loss = 4.84189 (* 1 = 4.84189 loss)
I0517 21:03:35.350949 6025 sgd_solver.cpp:105] Iteration 1100, lr = 0.001
I0517 21:04:42.122076 6025 solver.cpp:218] Iteration 1200 (1.49771 iter/s, 66.7687s/100 iters), loss = 3.51651
I0517 21:04:42.127246 6025 solver.cpp:237] Train net output #0: loss = 3.34224 (* 1 = 3.34224 loss)
I0517 21:04:42.127270 6025 sgd_solver.cpp:105] Iteration 1200, lr = 0.001
I0517 21:05:48.625386 6025 solver.cpp:218] Iteration 1300 (1.50386 iter/s, 66.4956s/100 iters), loss = 3.39798
I0517 21:05:48.625576 6025 solver.cpp:237] Train net output #0: loss = 4.84876 (* 1 = 4.84876 loss)
I0517 21:05:48.625605 6025 sgd_solver.cpp:105] Iteration 1300, lr = 0.001
I0517 21:06:55.527065 6025 solver.cpp:218] Iteration 1400 (1.49479 iter/s, 66.8989s/100 iters), loss = 3.56018
I0517 21:06:55.534672 6025 solver.cpp:237] Train net output #0: loss = 4.94847 (* 1 = 4.94847 loss)
I0517 21:06:55.534696 6025 sgd_solver.cpp:105] Iteration 1400, lr = 0.001
I0517 21:08:01.465716 6025 solver.cpp:218] Iteration 1500 (1.51679 iter/s, 65.9285s/100 iters), loss = 4.79013
I0517 21:08:01.466507 6025 solver.cpp:237] Train net output #0: loss = 4.79039 (* 1 = 4.79039 loss)
I0517 21:08:01.466547 6025 sgd_solver.cpp:105] Iteration 1500, lr = 0.001
I0517 21:09:07.543509 6025 solver.cpp:218] Iteration 1600 (1.51344 iter/s, 66.0745s/100 iters), loss = 4.78602
I0517 21:09:07.544680 6025 solver.cpp:237] Train net output #0: loss = 4.77603 (* 1 = 4.77603 loss)
I0517 21:09:07.544710 6025 sgd_solver.cpp:105] Iteration 1600, lr = 0.001
I0517 21:10:13.097491 6025 solver.cpp:218] Iteration 1700 (1.52555 iter/s, 65.5503s/100 iters), loss = 4.77572
I0517 21:10:13.097759 6025 solver.cpp:237] Train net output #0: loss = 4.68407 (* 1 = 4.68407 loss)
I0517 21:10:13.097817 6025 sgd_solver.cpp:105] Iteration 1700, lr = 0.001
I0517 21:11:18.895445 6025 solver.cpp:218] Iteration 1800 (1.51987 iter/s, 65.7952s/100 iters), loss = 4.77867
I0517 21:11:18.900264 6025 solver.cpp:237] Train net output #0: loss = 4.7705 (* 1 = 4.7705 loss)
I0517 21:11:18.900295 6025 sgd_solver.cpp:105] Iteration 1800, lr = 0.001
I0517 21:12:24.416342 6025 solver.cpp:218] Iteration 1900 (1.5264 iter/s, 65.5136s/100 iters), loss = 4.77963
I0517 21:12:24.417492 6025 solver.cpp:237] Train net output #0: loss = 4.83421 (* 1 = 4.83421 loss)
I0517 21:12:24.417538 6025 sgd_solver.cpp:105] Iteration 1900, lr = 0.001
I0517 21:13:30.443998 6025 solver.cpp:218] Iteration 2000 (1.5146 iter/s, 66.024s/100 iters), loss = 4.78162
I0517 21:13:30.444273 6025 solver.cpp:237] Train net output #0: loss = 4.75936 (* 1 = 4.75936 loss)
I0517 21:13:30.444360 6025 sgd_solver.cpp:105] Iteration 2000, lr = 0.001
I0517 21:14:35.907934 6025 solver.cpp:218] Iteration 2100 (1.52762 iter/s, 65.4612s/100 iters), loss = 4.76932
I0517 21:14:35.910881 6025 solver.cpp:237] Train net output #0: loss = 4.69919 (* 1 = 4.69919 loss)
I0517 21:14:35.910919 6025 sgd_solver.cpp:105] Iteration 2100, lr = 0.001
I0517 21:15:42.023610 6025 solver.cpp:218] Iteration 2200 (1.51263 iter/s, 66.1102s/100 iters), loss = 4.77528
I0517 21:15:42.023779 6025 solver.cpp:237] Train net output #0: loss = 4.82816 (* 1 = 4.82816 loss)
I0517 21:15:42.023797 6025 sgd_solver.cpp:105] Iteration 2200, lr = 0.001
I0517 21:16:48.724581 6025 solver.cpp:218] Iteration 2300 (1.49929 iter/s, 66.6983s/100 iters), loss = 4.76881
I0517 21:16:48.724853 6025 solver.cpp:237] Train net output #0: loss = 4.76838 (* 1 = 4.76838 loss)
I0517 21:16:48.724918 6025 sgd_solver.cpp:105] Iteration 2300, lr = 0.001
I0517 21:17:55.300076 6025 solver.cpp:218] Iteration 2400 (1.50212 iter/s, 66.5727s/100 iters), loss = 4.75244
I0517 21:17:55.302453 6025 solver.cpp:237] Train net output #0: loss = 4.74546 (* 1 = 4.74546 loss)
I0517 21:17:55.302477 6025 sgd_solver.cpp:105] Iteration 2400, lr = 0.001
I0517 21:19:01.597388 6025 solver.cpp:218] Iteration 2500 (1.50847 iter/s, 66.2924s/100 iters), loss = 4.78662
I0517 21:19:01.597606 6025 solver.cpp:237] Train net output #0: loss = 4.54109 (* 1 = 4.54109 loss)
I0517 21:19:01.597633 6025 sgd_solver.cpp:105] Iteration 2500, lr = 0.001
I0517 21:20:08.125231 6025 solver.cpp:218] Iteration 2600 (1.5032 iter/s, 66.5245s/100 iters), loss = 4.775
I0517 21:20:08.131747 6025 solver.cpp:237] Train net output #0: loss = 4.7183 (* 1 = 4.7183 loss)
I0517 21:20:08.131855 6025 sgd_solver.cpp:105] Iteration 2600, lr = 0.001
I0517 21:21:15.106114 6025 solver.cpp:218] Iteration 2700 (1.49316 iter/s, 66.9719s/100 iters), loss = 4.763
I0517 21:21:15.106360 6025 solver.cpp:237] Train net output #0: loss = 4.69659 (* 1 = 4.69659 loss)
I0517 21:21:15.106426 6025 sgd_solver.cpp:105] Iteration 2700, lr = 0.001
I0517 21:22:22.260056 6025 solver.cpp:218] Iteration 2800 (1.48918 iter/s, 67.1512s/100 iters), loss = 4.76991
I0517 21:22:22.261179 6025 solver.cpp:237] Train net output #0: loss = 4.77244 (* 1 = 4.77244 loss)
I0517 21:22:22.261564 6025 sgd_solver.cpp:105] Iteration 2800, lr = 0.001
I0517 21:23:29.050506 6025 solver.cpp:218] Iteration 2900 (1.49729 iter/s, 66.7872s/100 iters), loss = 4.76239
I0517 21:23:29.051960 6025 solver.cpp:237] Train net output #0: loss = 4.77343 (* 1 = 4.77343 loss)
I0517 21:23:29.051998 6025 sgd_solver.cpp:105] Iteration 2900, lr = 0.001
I0517 21:24:35.661375 6025 solver.cpp:218] Iteration 3000 (1.50135 iter/s, 66.6069s/100 iters), loss = 4.76915
I0517 21:24:35.661665 6025 solver.cpp:237] Train net output #0: loss = 4.87487 (* 1 = 4.87487 loss)
I0517 21:24:35.661726 6025 sgd_solver.cpp:105] Iteration 3000, lr = 0.001
I0517 21:25:42.402055 6025 solver.cpp:218] Iteration 3100 (1.4984 iter/s, 66.7379s/100 iters), loss = 4.75966
I0517 21:25:42.403443 6025 solver.cpp:237] Train net output #0: loss = 4.78583 (* 1 = 4.78583 loss)
I0517 21:25:42.403486 6025 sgd_solver.cpp:105] Iteration 3100, lr = 0.001
I0517 21:26:49.208724 6025 solver.cpp:218] Iteration 3200 (1.49694 iter/s, 66.8027s/100 iters), loss = 4.75783
I0517 21:26:49.208987 6025 solver.cpp:237] Train net output #0: loss = 4.91651 (* 1 = 4.91651 loss)
I0517 21:26:49.209055 6025 sgd_solver.cpp:105] Iteration 3200, lr = 0.001
I0517 21:27:55.976080 6025 solver.cpp:218] Iteration 3300 (1.4978 iter/s, 66.7646s/100 iters), loss = 4.78163
I0517 21:27:55.976384 6025 solver.cpp:237] Train net output #0: loss = 4.89519 (* 1 = 4.89519 loss)
I0517 21:27:55.976425 6025 sgd_solver.cpp:105] Iteration 3300, lr = 0.001
I0517 21:29:02.560109 6025 solver.cpp:218] Iteration 3400 (1.50193 iter/s, 66.5812s/100 iters), loss = 4.76347
I0517 21:29:02.560386 6025 solver.cpp:237] Train net output #0: loss = 4.72571 (* 1 = 4.72571 loss)
I0517 21:29:02.560430 6025 sgd_solver.cpp:105] Iteration 3400, lr = 0.001
I0517 21:30:09.554574 6025 solver.cpp:218] Iteration 3500 (1.49272 iter/s, 66.9916s/100 iters), loss = 4.7739
I0517 21:30:09.554782 6025 solver.cpp:237] Train net output #0: loss = 4.72011 (* 1 = 4.72011 loss)
I0517 21:30:09.554798 6025 sgd_solver.cpp:105] Iteration 3500, lr = 0.001
I0517 21:31:16.506851 6025 solver.cpp:218] Iteration 3600 (1.49366 iter/s, 66.9495s/100 iters), loss = 4.75893
I0517 21:31:16.507097 6025 solver.cpp:237] Train net output #0: loss = 4.63814 (* 1 = 4.63814 loss)
I0517 21:31:16.507146 6025 sgd_solver.cpp:105] Iteration 3600, lr = 0.001
I0517 21:32:23.143195 6025 solver.cpp:218] Iteration 3700 (1.50075 iter/s, 66.6336s/100 iters), loss = 4.74489
I0517 21:32:23.143467 6025 solver.cpp:237] Train net output #0: loss = 4.72554 (* 1 = 4.72554 loss)
I0517 21:32:23.143509 6025 sgd_solver.cpp:105] Iteration 3700, lr = 0.001
I0517 21:33:30.126099 6025 solver.cpp:218] Iteration 3800 (1.49298 iter/s, 66.9801s/100 iters), loss = 4.76619
I0517 21:33:30.131217 6025 solver.cpp:237] Train net output #0: loss = 4.84041 (* 1 = 4.84041 loss)
I0517 21:33:30.131237 6025 sgd_solver.cpp:105] Iteration 3800, lr = 0.001
I0517 21:34:36.960521 6025 solver.cpp:218] Iteration 3900 (1.49641 iter/s, 66.8267s/100 iters), loss = 4.78254
I0517 21:34:36.960817 6025 solver.cpp:237] Train net output #0: loss = 4.86405 (* 1 = 4.86405 loss)
I0517 21:34:36.960865 6025 sgd_solver.cpp:105] Iteration 3900, lr = 0.001
I0517 21:35:44.036911 6025 solver.cpp:218] Iteration 4000 (1.4909 iter/s, 67.0735s/100 iters), loss = 4.76714
I0517 21:35:44.038916 6025 solver.cpp:237] Train net output #0: loss = 4.74748 (* 1 = 4.74748 loss)
I0517 21:35:44.039106 6025 sgd_solver.cpp:105] Iteration 4000, lr = 0.001
I0517 21:36:50.167572 6025 solver.cpp:218] Iteration 4100 (1.51226 iter/s, 66.1262s/100 iters), loss = 4.7582
I0517 21:36:50.168534 6025 solver.cpp:237] Train net output #0: loss = 4.63008 (* 1 = 4.63008 loss)
I0517 21:36:50.168553 6025 sgd_solver.cpp:105] Iteration 4100, lr = 0.001
I0517 21:37:57.021471 6025 solver.cpp:218] Iteration 4200 (1.49588 iter/s, 66.8504s/100 iters), loss = 4.76263
I0517 21:37:57.021639 6025 solver.cpp:237] Train net output #0: loss = 4.68375 (* 1 = 4.68375 loss)
I0517 21:37:57.021654 6025 sgd_solver.cpp:105] Iteration 4200, lr = 0.001
I0517 21:39:03.723187 6025 solver.cpp:218] Iteration 4300 (1.49927 iter/s, 66.699s/100 iters), loss = 4.77736
I0517 21:39:03.725101 6025 solver.cpp:237] Train net output #0: loss = 4.85659 (* 1 = 4.85659 loss)
I0517 21:39:03.725145 6025 sgd_solver.cpp:105] Iteration 4300, lr = 0.001
I0517 21:40:10.223778 6025 solver.cpp:218] Iteration 4400 (1.50385 iter/s, 66.4962s/100 iters), loss = 4.76349
I0517 21:40:10.224074 6025 solver.cpp:237] Train net output #0: loss = 4.70148 (* 1 = 4.70148 loss)
I0517 21:40:10.224114 6025 sgd_solver.cpp:105] Iteration 4400, lr = 0.001
I0517 21:41:16.438141 6025 solver.cpp:218] Iteration 4500 (1.51031 iter/s, 66.2116s/100 iters), loss = 4.78151
I0517 21:41:16.438380 6025 solver.cpp:237] Train net output #0: loss = 4.68532 (* 1 = 4.68532 loss)
I0517 21:41:16.438398 6025 sgd_solver.cpp:105] Iteration 4500, lr = 0.001
I0517 21:42:23.674629 6025 solver.cpp:218] Iteration 4600 (1.48735 iter/s, 67.2337s/100 iters), loss = 4.76364
I0517 21:42:23.676034 6025 solver.cpp:237] Train net output #0: loss = 4.7079 (* 1 = 4.7079 loss)
I0517 21:42:23.676089 6025 sgd_solver.cpp:105] Iteration 4600, lr = 0.001
I0517 21:43:30.174650 6025 solver.cpp:218] Iteration 4700 (1.50385 iter/s, 66.4961s/100 iters), loss = 4.77719
I0517 21:43:30.174855 6025 solver.cpp:237] Train net output #0: loss = 4.88832 (* 1 = 4.88832 loss)
I0517 21:43:30.174881 6025 sgd_solver.cpp:105] Iteration 4700, lr = 0.001
I0517 21:44:36.236011 6025 solver.cpp:218] Iteration 4800 (1.51381 iter/s, 66.0586s/100 iters), loss = 4.7638
I0517 21:44:36.236675 6025 solver.cpp:237] Train net output #0: loss = 4.7446 (* 1 = 4.7446 loss)
I0517 21:44:36.236699 6025 sgd_solver.cpp:105] Iteration 4800, lr = 0.001
I0517 21:45:42.284719 6025 solver.cpp:218] Iteration 4900 (1.51411 iter/s, 66.0455s/100 iters), loss = 4.7623
I0517 21:45:42.285006 6025 solver.cpp:237] Train net output #0: loss = 4.74164 (* 1 = 4.74164 loss)
I0517 21:45:42.285060 6025 sgd_solver.cpp:105] Iteration 4900, lr = 0.001
I0517 21:46:48.224020 6025 solver.cpp:218] Iteration 5000 (1.51661 iter/s, 65.9365s/100 iters), loss = 4.76963
I0517 21:46:48.224299 6025 solver.cpp:237] Train net output #0: loss = 4.94372 (* 1 = 4.94372 loss)
I0517 21:46:48.224344 6025 sgd_solver.cpp:105] Iteration 5000, lr = 0.001
I0517 21:47:54.870535 6025 solver.cpp:218] Iteration 5100 (1.50052 iter/s, 66.6437s/100 iters), loss = 4.76512
I0517 21:47:54.870924 6025 solver.cpp:237] Train net output #0: loss = 4.69793 (* 1 = 4.69793 loss)
I0517 21:47:54.878793 6025 sgd_solver.cpp:105] Iteration 5100, lr = 0.001
I0517 21:49:01.387296 6025 solver.cpp:218] Iteration 5200 (1.50345 iter/s, 66.5138s/100 iters), loss = 4.77869
I0517 21:49:01.387548 6025 solver.cpp:237] Train net output #0: loss = 4.74136 (* 1 = 4.74136 loss)
I0517 21:49:01.387596 6025 sgd_solver.cpp:105] Iteration 5200, lr = 0.001
I0517 21:50:06.807353 6025 solver.cpp:218] Iteration 5300 (1.52865 iter/s, 65.4173s/100 iters), loss = 4.76152
I0517 21:50:06.807534 6025 solver.cpp:237] Train net output #0: loss = 4.83403 (* 1 = 4.83403 loss)
I0517 21:50:06.807549 6025 sgd_solver.cpp:105] Iteration 5300, lr = 0.001
I0517 21:51:11.584451 6025 solver.cpp:218] Iteration 5400 (1.54382 iter/s, 64.7744s/100 iters), loss = 4.76781
I0517 21:51:11.584727 6025 solver.cpp:237] Train net output #0: loss = 4.77887 (* 1 = 4.77887 loss)
I0517 21:51:11.584767 6025 sgd_solver.cpp:105] Iteration 5400, lr = 0.001
I0517 21:52:16.337908 6025 solver.cpp:218] Iteration 5500 (1.54438 iter/s, 64.7507s/100 iters), loss = 4.77386
I0517 21:52:16.338520 6025 solver.cpp:237] Train net output #0: loss = 4.60444 (* 1 = 4.60444 loss)
I0517 21:52:16.338538 6025 sgd_solver.cpp:105] Iteration 5500, lr = 0.001
I0517 21:53:21.346473 6025 solver.cpp:218] Iteration 5600 (1.53833 iter/s, 65.0055s/100 iters), loss = 4.75854
I0517 21:53:21.346760 6025 solver.cpp:237] Train net output #0: loss = 4.86209 (* 1 = 4.86209 loss)
I0517 21:53:21.346799 6025 sgd_solver.cpp:105] Iteration 5600, lr = 0.001
I0517 21:54:26.649902 6025 solver.cpp:218] Iteration 5700 (1.53138 iter/s, 65.3007s/100 iters), loss = 4.77016
I0517 21:54:26.651562 6025 solver.cpp:237] Train net output #0: loss = 4.75624 (* 1 = 4.75624 loss)
I0517 21:54:26.651585 6025 sgd_solver.cpp:105] Iteration 5700, lr = 0.001
I0517 21:55:31.689452 6025 solver.cpp:218] Iteration 5800 (1.53762 iter/s, 65.0354s/100 iters), loss = 4.77733
I0517 21:55:31.689772 6025 solver.cpp:237] Train net output #0: loss = 4.75331 (* 1 = 4.75331 loss)
I0517 21:55:31.689790 6025 sgd_solver.cpp:105] Iteration 5800, lr = 0.001
I0517 21:56:35.471518 6025 solver.cpp:218] Iteration 5900 (1.56791 iter/s, 63.7793s/100 iters), loss = 4.7791
I0517 21:56:35.471789 6025 solver.cpp:237] Train net output #0: loss = 4.89209 (* 1 = 4.89209 loss)
I0517 21:56:35.471828 6025 sgd_solver.cpp:105] Iteration 5900, lr = 0.001
I0517 21:57:39.507894 6025 solver.cpp:218] Iteration 6000 (1.56168 iter/s, 64.0336s/100 iters), loss = 4.77786
I0517 21:57:39.511237 6025 solver.cpp:237] Train net output #0: loss = 4.78359 (* 1 = 4.78359 loss)
I0517 21:57:39.511274 6025 sgd_solver.cpp:105] Iteration 6000, lr = 0.001
I0517 21:58:43.365152 6025 solver.cpp:218] Iteration 6100 (1.56613 iter/s, 63.8515s/100 iters), loss = 4.76377
I0517 21:58:43.365450 6025 solver.cpp:237] Train net output #0: loss = 4.78122 (* 1 = 4.78122 loss)
I0517 21:58:43.365469 6025 sgd_solver.cpp:105] Iteration 6100, lr = 0.001
I0517 21:59:47.221570 6025 solver.cpp:218] Iteration 6200 (1.56608 iter/s, 63.8537s/100 iters), loss = 4.75914
I0517 21:59:47.221901 6025 solver.cpp:237] Train net output #0: loss = 4.74128 (* 1 = 4.74128 loss)
I0517 21:59:47.221938 6025 sgd_solver.cpp:105] Iteration 6200, lr = 0.001
I0517 22:00:51.197142 6025 solver.cpp:218] Iteration 6300 (1.56316 iter/s, 63.9728s/100 iters), loss = 4.78234
I0517 22:00:51.197441 6025 solver.cpp:237] Train net output #0: loss = 4.63772 (* 1 = 4.63772 loss)
I0517 22:00:51.197479 6025 sgd_solver.cpp:105] Iteration 6300, lr = 0.001
I0517 22:01:55.433130 6025 solver.cpp:218] Iteration 6400 (1.55683 iter/s, 64.2333s/100 iters), loss = 4.76873
I0517 22:01:55.433367 6025 solver.cpp:237] Train net output #0: loss = 4.74328 (* 1 = 4.74328 loss)
I0517 22:01:55.433387 6025 sgd_solver.cpp:105] Iteration 6400, lr = 0.001
I0517 22:02:59.799677 6025 solver.cpp:218] Iteration 6500 (1.55367 iter/s, 64.3639s/100 iters), loss = 4.76797
I0517 22:02:59.799999 6025 solver.cpp:237] Train net output #0: loss = 4.74942 (* 1 = 4.74942 loss)
I0517 22:02:59.800040 6025 sgd_solver.cpp:105] Iteration 6500, lr = 0.001
I0517 22:04:04.075055 6025 solver.cpp:218] Iteration 6600 (1.55587 iter/s, 64.2726s/100 iters), loss = 4.76113
I0517 22:04:04.075990 6025 solver.cpp:237] Train net output #0: loss = 4.62469 (* 1 = 4.62469 loss)
I0517 22:04:04.076040 6025 sgd_solver.cpp:105] Iteration 6600, lr = 0.001
I0517 22:05:08.392052 6025 solver.cpp:218] Iteration 6700 (1.55488 iter/s, 64.3136s/100 iters), loss = 4.74803
I0517 22:05:08.392400 6025 solver.cpp:237] Train net output #0: loss = 4.62779 (* 1 = 4.62779 loss)
I0517 22:05:08.392443 6025 sgd_solver.cpp:105] Iteration 6700, lr = 0.001
I0517 22:06:13.402623 6025 solver.cpp:218] Iteration 6800 (1.53828 iter/s, 65.0077s/100 iters), loss = 4.75259
I0517 22:06:13.405975 6025 solver.cpp:237] Train net output #0: loss = 4.71957 (* 1 = 4.71957 loss)
I0517 22:06:13.406023 6025 sgd_solver.cpp:105] Iteration 6800, lr = 0.001
I0517 22:07:18.150101 6025 solver.cpp:218] Iteration 6900 (1.5446 iter/s, 64.7417s/100 iters), loss = 4.75693
I0517 22:07:18.151036 6025 solver.cpp:237] Train net output #0: loss = 4.60697 (* 1 = 4.60697 loss)
I0517 22:07:18.151060 6025 sgd_solver.cpp:105] Iteration 6900, lr = 0.001
I0517 22:08:23.232893 6025 solver.cpp:218] Iteration 7000 (1.53658 iter/s, 65.0794s/100 iters), loss = 4.76864
I0517 22:08:23.233211 6025 solver.cpp:237] Train net output #0: loss = 4.62785 (* 1 = 4.62785 loss)
I0517 22:08:23.233264 6025 sgd_solver.cpp:105] Iteration 7000, lr = 0.001
I0517 22:09:28.671509 6025 solver.cpp:218] Iteration 7100 (1.52821 iter/s, 65.4358s/100 iters), loss = 4.75963
I0517 22:09:28.671815 6025 solver.cpp:237] Train net output #0: loss = 4.85621 (* 1 = 4.85621 loss)
I0517 22:09:28.671871 6025 sgd_solver.cpp:105] Iteration 7100, lr = 0.001
I0517 22:10:33.426254 6025 solver.cpp:218] Iteration 7200 (1.54435 iter/s, 64.752s/100 iters), loss = 4.76602
I0517 22:10:33.426466 6025 solver.cpp:237] Train net output #0: loss = 4.87215 (* 1 = 4.87215 loss)
I0517 22:10:33.426483 6025 sgd_solver.cpp:105] Iteration 7200, lr = 0.001
I0517 22:11:39.221565 6025 solver.cpp:218] Iteration 7300 (1.51993 iter/s, 65.7926s/100 iters), loss = 4.75125
I0517 22:11:39.222826 6025 solver.cpp:237] Train net output #0: loss = 4.81893 (* 1 = 4.81893 loss)
I0517 22:11:39.222843 6025 sgd_solver.cpp:105] Iteration 7300, lr = 0.001
I0517 22:12:45.398074 6025 solver.cpp:218] Iteration 7400 (1.5112 iter/s, 66.1727s/100 iters), loss = 4.75966
I0517 22:12:45.400502 6025 solver.cpp:237] Train net output #0: loss = 4.80437 (* 1 = 4.80437 loss)
I0517 22:12:45.400526 6025 sgd_solver.cpp:105] Iteration 7400, lr = 0.001
I0517 22:13:51.473611 6025 solver.cpp:218] Iteration 7500 (1.51353 iter/s, 66.0705s/100 iters), loss = 4.77137
I0517 22:13:51.473942 6025 solver.cpp:237] Train net output #0: loss = 4.86267 (* 1 = 4.86267 loss)
I0517 22:13:51.473981 6025 sgd_solver.cpp:105] Iteration 7500, lr = 0.001
I0517 22:14:57.021775 6025 solver.cpp:218] Iteration 7600 (1.52566 iter/s, 65.5453s/100 iters), loss = 4.75657
I0517 22:14:57.022034 6025 solver.cpp:237] Train net output #0: loss = 4.85254 (* 1 = 4.85254 loss)
I0517 22:14:57.022073 6025 sgd_solver.cpp:105] Iteration 7600, lr = 0.001
I0517 22:16:02.927376 6025 solver.cpp:218] Iteration 7700 (1.51739 iter/s, 65.9028s/100 iters), loss = 4.76273
I0517 22:16:02.927626 6025 solver.cpp:237] Train net output #0: loss = 4.98846 (* 1 = 4.98846 loss)
I0517 22:16:02.927664 6025 sgd_solver.cpp:105] Iteration 7700, lr = 0.001
I0517 22:17:08.388470 6025 solver.cpp:218] Iteration 7800 (1.52769 iter/s, 65.4584s/100 iters), loss = 4.76898
I0517 22:17:08.388767 6025 solver.cpp:237] Train net output #0: loss = 4.66703 (* 1 = 4.66703 loss)
I0517 22:17:08.388800 6025 sgd_solver.cpp:105] Iteration 7800, lr = 0.001
I0517 22:18:13.933204 6025 solver.cpp:218] Iteration 7900 (1.52574 iter/s, 65.5419s/100 iters), loss = 4.75424
I0517 22:18:13.933519 6025 solver.cpp:237] Train net output #0: loss = 4.72516 (* 1 = 4.72516 loss)
I0517 22:18:13.933567 6025 sgd_solver.cpp:105] Iteration 7900, lr = 0.001
I0517 22:19:19.778102 6025 solver.cpp:218] Iteration 8000 (1.51878 iter/s, 65.8421s/100 iters), loss = 4.75107
I0517 22:19:19.778406 6025 solver.cpp:237] Train net output #0: loss = 4.33486 (* 1 = 4.33486 loss)
I0517 22:19:19.778445 6025 sgd_solver.cpp:105] Iteration 8000, lr = 0.001
I0517 22:19:23.861281 6025 solver.cpp:447] Snapshotting to binary proto file snapshot/ft_all_iter_8007.caffemodel
I0517 22:19:24.960904 6025 sgd_solver.cpp:273] Snapshotting solver state to binary proto file snapshot/ft_all_iter_8007.solverstate
I0517 22:19:25.075279 6025 solver.cpp:330] Iteration 8007, Testing net (#0)
I0517 22:19:33.800148 6025 blocking_queue.cpp:49] Waiting for data
I0517 22:21:29.036217 6073 data_layer.cpp:73] Restarting data prefetching from start.
I0517 22:21:29.290035 6025 solver.cpp:397] Test net output #0: accuracy = 0.00871909
I0517 22:21:29.290088 6025 solver.cpp:397] Test net output #1: loss = 4.90557 (* 1 = 4.90557 loss)
I0517 22:22:29.959524 6025 solver.cpp:218] Iteration 8100 (0.525835 iter/s, 190.174s/100 iters), loss = 4.74942
I0517 22:22:29.959769 6025 solver.cpp:237] Train net output #0: loss = 4.73923 (* 1 = 4.73923 loss)
I0517 22:22:29.959818 6025 sgd_solver.cpp:105] Iteration 8100, lr = 0.001
I0517 22:23:35.288177 6025 solver.cpp:218] Iteration 8200 (1.53079 iter/s, 65.3259s/100 iters), loss = 4.76603
I0517 22:23:35.291108 6025 solver.cpp:237] Train net output #0: loss = 4.87825 (* 1 = 4.87825 loss)
I0517 22:23:35.291142 6025 sgd_solver.cpp:105] Iteration 8200, lr = 0.001
I0517 22:24:40.330870 6025 solver.cpp:218] Iteration 8300 (1.53758 iter/s, 65.0373s/100 iters), loss = 4.75115
I0517 22:24:40.331143 6025 solver.cpp:237] Train net output #0: loss = 4.75752 (* 1 = 4.75752 loss)
I0517 22:24:40.331192 6025 sgd_solver.cpp:105] Iteration 8300, lr = 0.001
I0517 22:25:45.467588 6025 solver.cpp:218] Iteration 8400 (1.5353 iter/s, 65.134s/100 iters), loss = 4.7603
I0517 22:25:45.467787 6025 solver.cpp:237] Train net output #0: loss = 4.83137 (* 1 = 4.83137 loss)
I0517 22:25:45.467808 6025 sgd_solver.cpp:105] Iteration 8400, lr = 0.001
I0517 22:26:51.008313 6025 solver.cpp:218] Iteration 8500 (1.52583 iter/s, 65.538s/100 iters), loss = 4.74287
I0517 22:26:51.008563 6025 solver.cpp:237] Train net output #0: loss = 4.82977 (* 1 = 4.82977 loss)
I0517 22:26:51.008601 6025 sgd_solver.cpp:105] Iteration 8500, lr = 0.001
I0517 22:27:56.176342 6025 solver.cpp:218] Iteration 8600 (1.53456 iter/s, 65.1653s/100 iters), loss = 4.78191
I0517 22:27:56.176607 6025 solver.cpp:237] Train net output #0: loss = 4.70949 (* 1 = 4.70949 loss)
I0517 22:27:56.176647 6025 sgd_solver.cpp:105] Iteration 8600, lr = 0.001
I0517 22:29:01.446753 6025 solver.cpp:218] Iteration 8700 (1.53215 iter/s, 65.2676s/100 iters), loss = 4.77505
I0517 22:29:01.447958 6025 solver.cpp:237] Train net output #0: loss = 4.847 (* 1 = 4.847 loss)
I0517 22:29:01.447979 6025 sgd_solver.cpp:105] Iteration 8700, lr = 0.001
I0517 22:30:07.094270 6025 solver.cpp:218] Iteration 8800 (1.52337 iter/s, 65.6438s/100 iters), loss = 4.75323
I0517 22:30:07.094655 6025 solver.cpp:237] Train net output #0: loss = 4.68545 (* 1 = 4.68545 loss)
I0517 22:30:07.094681 6025 sgd_solver.cpp:105] Iteration 8800, lr = 0.001
I0517 22:31:12.967664 6025 solver.cpp:218] Iteration 8900 (1.51813 iter/s, 65.8705s/100 iters), loss = 4.75117
I0517 22:31:12.968248 6025 solver.cpp:237] Train net output #0: loss = 4.75988 (* 1 = 4.75988 loss)
I0517 22:31:12.968271 6025 sgd_solver.cpp:105] Iteration 8900, lr = 0.001
I0517 22:32:18.194238 6025 solver.cpp:218] Iteration 9000 (1.53319 iter/s, 65.2235s/100 iters), loss = 4.74628
I0517 22:32:18.194474 6025 solver.cpp:237] Train net output #0: loss = 4.68883 (* 1 = 4.68883 loss)
I0517 22:32:18.194527 6025 sgd_solver.cpp:105] Iteration 9000, lr = 0.001
I0517 22:33:23.311630 6025 solver.cpp:218] Iteration 9100 (1.53575 iter/s, 65.1147s/100 iters), loss = 4.755
I0517 22:33:23.314177 6025 solver.cpp:237] Train net output #0: loss = 4.92759 (* 1 = 4.92759 loss)
I0517 22:33:23.314194 6025 sgd_solver.cpp:105] Iteration 9100, lr = 0.001
I0517 22:34:28.655092 6025 solver.cpp:218] Iteration 9200 (1.53049 iter/s, 65.3384s/100 iters), loss = 4.76248
I0517 22:34:28.655313 6025 solver.cpp:237] Train net output #0: loss = 4.80086 (* 1 = 4.80086 loss)
I0517 22:34:28.655331 6025 sgd_solver.cpp:105] Iteration 9200, lr = 0.001
I0517 22:35:34.262325 6025 solver.cpp:218] Iteration 9300 (1.52429 iter/s, 65.6045s/100 iters), loss = 4.75301
I0517 22:35:34.263154 6025 solver.cpp:237] Train net output #0: loss = 4.61131 (* 1 = 4.61131 loss)
I0517 22:35:34.263175 6025 sgd_solver.cpp:105] Iteration 9300, lr = 0.001
I0517 22:36:40.132117 6025 solver.cpp:218] Iteration 9400 (1.51822 iter/s, 65.8665s/100 iters), loss = 4.76082
I0517 22:36:40.136680 6025 solver.cpp:237] Train net output #0: loss = 4.70572 (* 1 = 4.70572 loss)
I0517 22:36:40.136699 6025 sgd_solver.cpp:105] Iteration 9400, lr = 0.001
I0517 22:37:45.704735 6025 solver.cpp:218] Iteration 9500 (1.52519 iter/s, 65.5655s/100 iters), loss = 4.76598
I0517 22:37:45.705029 6025 solver.cpp:237] Train net output #0: loss = 4.77392 (* 1 = 4.77392 loss)
I0517 22:37:45.705080 6025 sgd_solver.cpp:105] Iteration 9500, lr = 0.001
I0517 22:38:51.294816 6025 solver.cpp:218] Iteration 9600 (1.52469 iter/s, 65.5873s/100 iters), loss = 4.76177
I0517 22:38:51.295075 6025 solver.cpp:237] Train net output #0: loss = 4.87079 (* 1 = 4.87079 loss)
I0517 22:38:51.295104 6025 sgd_solver.cpp:105] Iteration 9600, lr = 0.001
I0517 22:39:56.307381 6025 solver.cpp:218] Iteration 9700 (1.53823 iter/s, 65.0098s/100 iters), loss = 4.77005
I0517 22:39:56.310106 6025 solver.cpp:237] Train net output #0: loss = 4.98256 (* 1 = 4.98256 loss)
I0517 22:39:56.310132 6025 sgd_solver.cpp:105] Iteration 9700, lr = 0.001
I0517 22:41:01.482292 6025 solver.cpp:218] Iteration 9800 (1.53446 iter/s, 65.1697s/100 iters), loss = 4.77068
I0517 22:41:01.482566 6025 solver.cpp:237] Train net output #0: loss = 4.79957 (* 1 = 4.79957 loss)
I0517 22:41:01.482617 6025 sgd_solver.cpp:105] Iteration 9800, lr = 0.001
I0517 22:42:06.650928 6025 solver.cpp:218] Iteration 9900 (1.53455 iter/s, 65.1658s/100 iters), loss = 4.74882
I0517 22:42:06.653131 6025 solver.cpp:237] Train net output #0: loss = 4.7938 (* 1 = 4.7938 loss)
I0517 22:42:06.653173 6025 sgd_solver.cpp:105] Iteration 9900, lr = 0.001
I0517 22:43:11.617278 6025 solver.cpp:218] Iteration 10000 (1.53937 iter/s, 64.9616s/100 iters), loss = 4.74818
I0517 22:43:11.617550 6025 solver.cpp:237] Train net output #0: loss = 4.65955 (* 1 = 4.65955 loss)
I0517 22:43:11.617580 6025 sgd_solver.cpp:105] Iteration 10000, lr = 0.001
I0517 22:44:16.424712 6025 solver.cpp:218] Iteration 10100 (1.5431 iter/s, 64.8047s/100 iters), loss = 4.74337
I0517 22:44:16.425021 6025 solver.cpp:237] Train net output #0: loss = 4.84298 (* 1 = 4.84298 loss)
I0517 22:44:16.425040 6025 sgd_solver.cpp:105] Iteration 10100, lr = 0.001
I0517 22:45:21.281559 6025 solver.cpp:218] Iteration 10200 (1.54192 iter/s, 64.854s/100 iters), loss = 4.75286
I0517 22:45:21.281818 6025 solver.cpp:237] Train net output #0: loss = 4.65246 (* 1 = 4.65246 loss)
I0517 22:45:21.281836 6025 sgd_solver.cpp:105] Iteration 10200, lr = 0.001
I0517 22:46:26.670912 6025 solver.cpp:218] Iteration 10300 (1.52937 iter/s, 65.3866s/100 iters), loss = 4.71623
I0517 22:46:26.671231 6025 solver.cpp:237] Train net output #0: loss = 5.00418 (* 1 = 5.00418 loss)
I0517 22:46:26.671285 6025 sgd_solver.cpp:105] Iteration 10300, lr = 0.001
I0517 22:47:32.119334 6025 solver.cpp:218] Iteration 10400 (1.52799 iter/s, 65.4456s/100 iters), loss = 4.11274
I0517 22:47:32.120586 6025 solver.cpp:237] Train net output #0: loss = 3.43777 (* 1 = 3.43777 loss)
I0517 22:47:32.120607 6025 sgd_solver.cpp:105] Iteration 10400, lr = 0.001
I0517 22:48:37.612660 6025 solver.cpp:218] Iteration 10500 (1.52696 iter/s, 65.4896s/100 iters), loss = 3.61201
I0517 22:48:37.614925 6025 solver.cpp:237] Train net output #0: loss = 3.00702 (* 1 = 3.00702 loss)
I0517 22:48:37.614945 6025 sgd_solver.cpp:105] Iteration 10500, lr = 0.001
I0517 22:49:43.550202 6025 solver.cpp:218] Iteration 10600 (1.5167 iter/s, 65.9327s/100 iters), loss = 3.46729
I0517 22:49:43.552474 6025 solver.cpp:237] Train net output #0: loss = 4.79538 (* 1 = 4.79538 loss)
I0517 22:49:43.552503 6025 sgd_solver.cpp:105] Iteration 10600, lr = 0.001
I0517 22:50:48.944758 6025 solver.cpp:218] Iteration 10700 (1.52929 iter/s, 65.3898s/100 iters), loss = 3.34718
I0517 22:50:48.944998 6025 solver.cpp:237] Train net output #0: loss = 3.41176 (* 1 = 3.41176 loss)
I0517 22:50:48.945029 6025 sgd_solver.cpp:105] Iteration 10700, lr = 0.001
I0517 22:51:54.621816 6025 solver.cpp:218] Iteration 10800 (1.52267 iter/s, 65.6743s/100 iters), loss = 3.43143
I0517 22:51:54.623606 6025 solver.cpp:237] Train net output #0: loss = 2.75237 (* 1 = 2.75237 loss)
I0517 22:51:54.623648 6025 sgd_solver.cpp:105] Iteration 10800, lr = 0.001
I0517 22:53:00.695581 6025 solver.cpp:218] Iteration 10900 (1.51356 iter/s, 66.0695s/100 iters), loss = 3.40874
I0517 22:53:00.695778 6025 solver.cpp:237] Train net output #0: loss = 4.60402 (* 1 = 4.60402 loss)
I0517 22:53:00.695804 6025 sgd_solver.cpp:105] Iteration 10900, lr = 0.001
I0517 22:54:06.646797 6025 solver.cpp:218] Iteration 11000 (1.51633 iter/s, 65.9485s/100 iters), loss = 3.3901
I0517 22:54:06.647060 6025 solver.cpp:237] Train net output #0: loss = 4.70937 (* 1 = 4.70937 loss)
I0517 22:54:06.647097 6025 sgd_solver.cpp:105] Iteration 11000, lr = 0.001
I0517 22:55:12.773983 6025 solver.cpp:218] Iteration 11100 (1.5123 iter/s, 66.1244s/100 iters), loss = 3.58696
I0517 22:55:12.774225 6025 solver.cpp:237] Train net output #0: loss = 2.42954 (* 1 = 2.42954 loss)
I0517 22:55:12.774243 6025 sgd_solver.cpp:105] Iteration 11100, lr = 0.001
I0517 22:56:18.588591 6025 solver.cpp:218] Iteration 11200 (1.51948 iter/s, 65.8119s/100 iters), loss = 3.4162
I0517 22:56:18.588778 6025 solver.cpp:237] Train net output #0: loss = 2.77677 (* 1 = 2.77677 loss)
I0517 22:56:18.588795 6025 sgd_solver.cpp:105] Iteration 11200, lr = 0.001
I0517 22:57:24.111481 6025 solver.cpp:218] Iteration 11300 (1.52625 iter/s, 65.5202s/100 iters), loss = 3.30082
I0517 22:57:24.112581 6025 solver.cpp:237] Train net output #0: loss = 2.31249 (* 1 = 2.31249 loss)
I0517 22:57:24.112609 6025 sgd_solver.cpp:105] Iteration 11300, lr = 0.001
I0517 22:58:29.773551 6025 solver.cpp:218] Iteration 11400 (1.52303 iter/s, 65.6585s/100 iters), loss = 3.38017
I0517 22:58:29.773850 6025 solver.cpp:237] Train net output #0: loss = 2.5492 (* 1 = 2.5492 loss)
I0517 22:58:29.773906 6025 sgd_solver.cpp:105] Iteration 11400, lr = 0.001
I0517 22:59:35.210564 6025 solver.cpp:218] Iteration 11500 (1.52825 iter/s, 65.4342s/100 iters), loss = 3.36807
I0517 22:59:35.211913 6025 solver.cpp:237] Train net output #0: loss = 3.09331 (* 1 = 3.09331 loss)
I0517 22:59:35.211946 6025 sgd_solver.cpp:105] Iteration 11500, lr = 0.001
I0517 23:00:40.307010 6025 solver.cpp:218] Iteration 11600 (1.53627 iter/s, 65.0926s/100 iters), loss = 3.2646
I0517 23:00:40.307278 6025 solver.cpp:237] Train net output #0: loss = 2.65821 (* 1 = 2.65821 loss)
I0517 23:00:40.307320 6025 sgd_solver.cpp:105] Iteration 11600, lr = 0.001
I0517 23:01:46.239675 6025 solver.cpp:218] Iteration 11700 (1.51676 iter/s, 65.9299s/100 iters), loss = 3.48112
I0517 23:01:46.240396 6025 solver.cpp:237] Train net output #0: loss = 4.81663 (* 1 = 4.81663 loss)
I0517 23:01:46.240437 6025 sgd_solver.cpp:105] Iteration 11700, lr = 0.001
I0517 23:02:51.552649 6025 solver.cpp:218] Iteration 11800 (1.53117 iter/s, 65.3097s/100 iters), loss = 3.49411
I0517 23:02:51.552914 6025 solver.cpp:237] Train net output #0: loss = 2.95214 (* 1 = 2.95214 loss)
I0517 23:02:51.552951 6025 sgd_solver.cpp:105] Iteration 11800, lr = 0.001
I0517 23:03:57.021647 6025 solver.cpp:218] Iteration 11900 (1.5275 iter/s, 65.4663s/100 iters), loss = 3.45475
I0517 23:03:57.021922 6025 solver.cpp:237] Train net output #0: loss = 3.37416 (* 1 = 3.37416 loss)
I0517 23:03:57.021956 6025 sgd_solver.cpp:105] Iteration 11900, lr = 0.001
I0517 23:05:02.568994 6025 solver.cpp:218] Iteration 12000 (1.52568 iter/s, 65.5446s/100 iters), loss = 3.32655
I0517 23:05:02.569211 6025 solver.cpp:237] Train net output #0: loss = 2.54317 (* 1 = 2.54317 loss)
I0517 23:05:02.569232 6025 sgd_solver.cpp:105] Iteration 12000, lr = 0.001
I0517 23:06:08.245167 6025 solver.cpp:218] Iteration 12100 (1.52269 iter/s, 65.6734s/100 iters), loss = 3.43784
I0517 23:06:08.245375 6025 solver.cpp:237] Train net output #0: loss = 2.93618 (* 1 = 2.93618 loss)
I0517 23:06:08.245393 6025 sgd_solver.cpp:105] Iteration 12100, lr = 0.001
I0517 23:07:13.861057 6025 solver.cpp:218] Iteration 12200 (1.52408 iter/s, 65.6132s/100 iters), loss = 3.27365
I0517 23:07:13.861304 6025 solver.cpp:237] Train net output #0: loss = 2.97703 (* 1 = 2.97703 loss)
I0517 23:07:13.861344 6025 sgd_solver.cpp:105] Iteration 12200, lr = 0.001
I0517 23:08:19.294258 6025 solver.cpp:218] Iteration 12300 (1.52834 iter/s, 65.4305s/100 iters), loss = 3.34229
I0517 23:08:19.294541 6025 solver.cpp:237] Train net output #0: loss = 2.69241 (* 1 = 2.69241 loss)
I0517 23:08:19.294581 6025 sgd_solver.cpp:105] Iteration 12300, lr = 0.001
I0517 23:09:24.900455 6025 solver.cpp:218] Iteration 12400 (1.52431 iter/s, 65.6034s/100 iters), loss = 3.39789
I0517 23:09:24.902118 6025 solver.cpp:237] Train net output #0: loss = 2.05714 (* 1 = 2.05714 loss)
I0517 23:09:24.902158 6025 sgd_solver.cpp:105] Iteration 12400, lr = 0.001
I0517 23:10:30.869390 6025 solver.cpp:218] Iteration 12500 (1.51596 iter/s, 65.9648s/100 iters), loss = 3.41722
I0517 23:10:30.869657 6025 solver.cpp:237] Train net output #0: loss = 3.37034 (* 1 = 3.37034 loss)
I0517 23:10:30.869705 6025 sgd_solver.cpp:105] Iteration 12500, lr = 0.001
I0517 23:11:36.691269 6025 solver.cpp:218] Iteration 12600 (1.51932 iter/s, 65.8191s/100 iters), loss = 3.46906
I0517 23:11:36.691583 6025 solver.cpp:237] Train net output #0: loss = 2.20286 (* 1 = 2.20286 loss)
I0517 23:11:36.691632 6025 sgd_solver.cpp:105] Iteration 12600, lr = 0.001
I0517 23:12:42.587487 6025 solver.cpp:218] Iteration 12700 (1.5176 iter/s, 65.8934s/100 iters), loss = 3.34106
I0517 23:12:42.587730 6025 solver.cpp:237] Train net output #0: loss = 2.91866 (* 1 = 2.91866 loss)
I0517 23:12:42.587775 6025 sgd_solver.cpp:105] Iteration 12700, lr = 0.001
I0517 23:13:46.336787 6025 solver.cpp:218] Iteration 12800 (1.56871 iter/s, 63.7467s/100 iters), loss = 3.34755
I0517 23:13:46.336982 6025 solver.cpp:237] Train net output #0: loss = 4.90908 (* 1 = 4.90908 loss)
I0517 23:13:46.336998 6025 sgd_solver.cpp:105] Iteration 12800, lr = 0.001
I0517 23:14:50.583560 6025 solver.cpp:218] Iteration 12900 (1.55656 iter/s, 64.2441s/100 iters), loss = 3.30053
I0517 23:14:50.583937 6025 solver.cpp:237] Train net output #0: loss = 3.20113 (* 1 = 3.20113 loss)
I0517 23:14:50.583990 6025 sgd_solver.cpp:105] Iteration 12900, lr = 0.001
I0517 23:15:54.969624 6025 solver.cpp:218] Iteration 13000 (1.5532 iter/s, 64.3833s/100 iters), loss = 3.28712
I0517 23:15:54.969831 6025 solver.cpp:237] Train net output #0: loss = 2.34797 (* 1 = 2.34797 loss)
I0517 23:15:54.969847 6025 sgd_solver.cpp:105] Iteration 13000, lr = 0.001
I0517 23:16:59.032174 6025 solver.cpp:218] Iteration 13100 (1.56104 iter/s, 64.0599s/100 iters), loss = 3.24084
I0517 23:16:59.033949 6025 solver.cpp:237] Train net output #0: loss = 4.873 (* 1 = 4.873 loss)
I0517 23:16:59.033979 6025 sgd_solver.cpp:105] Iteration 13100, lr = 0.001
I0517 23:18:03.158993 6025 solver.cpp:218] Iteration 13200 (1.55951 iter/s, 64.1225s/100 iters), loss = 3.21582
I0517 23:18:03.162693 6025 solver.cpp:237] Train net output #0: loss = 3.03411 (* 1 = 3.03411 loss)
I0517 23:18:03.162756 6025 sgd_solver.cpp:105] Iteration 13200, lr = 0.001
I0517 23:19:07.322590 6025 solver.cpp:218] Iteration 13300 (1.55867 iter/s, 64.1574s/100 iters), loss = 3.31504
I0517 23:19:07.323536 6025 solver.cpp:237] Train net output #0: loss = 2.3967 (* 1 = 2.3967 loss)
I0517 23:19:07.323557 6025 sgd_solver.cpp:105] Iteration 13300, lr = 0.001
I0517 23:20:12.348613 6025 solver.cpp:218] Iteration 13400 (1.53793 iter/s, 65.0225s/100 iters), loss = 3.25999
I0517 23:20:12.356217 6025 solver.cpp:237] Train net output #0: loss = 3.28045 (* 1 = 3.28045 loss)
I0517 23:20:12.356259 6025 sgd_solver.cpp:105] Iteration 13400, lr = 0.001
I0517 23:21:18.214679 6025 solver.cpp:218] Iteration 13500 (1.51847 iter/s, 65.8559s/100 iters), loss = 3.24529
I0517 23:21:18.216342 6025 solver.cpp:237] Train net output #0: loss = 2.84466 (* 1 = 2.84466 loss)
I0517 23:21:18.216367 6025 sgd_solver.cpp:105] Iteration 13500, lr = 0.001
I0517 23:22:23.222949 6025 solver.cpp:218] Iteration 13600 (1.53836 iter/s, 65.0041s/100 iters), loss = 3.23078
I0517 23:22:23.227466 6025 solver.cpp:237] Train net output #0: loss = 2.89547 (* 1 = 2.89547 loss)
I0517 23:22:23.227505 6025 sgd_solver.cpp:105] Iteration 13600, lr = 0.001
I0517 23:23:28.214581 6025 solver.cpp:218] Iteration 13700 (1.53883 iter/s, 64.9846s/100 iters), loss = 3.38365
I0517 23:23:28.214773 6025 solver.cpp:237] Train net output #0: loss = 4.84459 (* 1 = 4.84459 loss)
I0517 23:23:28.214790 6025 sgd_solver.cpp:105] Iteration 13700, lr = 0.001
I0517 23:24:33.874332 6025 solver.cpp:218] Iteration 13800 (1.52307 iter/s, 65.657s/100 iters), loss = 3.39941
I0517 23:24:33.877414 6025 solver.cpp:237] Train net output #0: loss = 3.22044 (* 1 = 3.22044 loss)
I0517 23:24:33.877460 6025 sgd_solver.cpp:105] Iteration 13800, lr = 0.001
I0517 23:25:39.109887 6025 solver.cpp:218] Iteration 13900 (1.53304 iter/s, 65.23s/100 iters), loss = 3.43851
I0517 23:25:39.110141 6025 solver.cpp:237] Train net output #0: loss = 4.92805 (* 1 = 4.92805 loss)
I0517 23:25:39.110159 6025 sgd_solver.cpp:105] Iteration 13900, lr = 0.001
I0517 23:26:44.660658 6025 solver.cpp:218] Iteration 14000 (1.5256 iter/s, 65.548s/100 iters), loss = 3.21649
I0517 23:26:44.663007 6025 solver.cpp:237] Train net output #0: loss = 4.79477 (* 1 = 4.79477 loss)
I0517 23:26:44.663033 6025 sgd_solver.cpp:105] Iteration 14000, lr = 0.001
I0517 23:27:50.621316 6025 solver.cpp:218] Iteration 14100 (1.51617 iter/s, 65.9558s/100 iters), loss = 3.24996
I0517 23:27:50.621592 6025 solver.cpp:237] Train net output #0: loss = 3.30129 (* 1 = 3.30129 loss)
I0517 23:27:50.621636 6025 sgd_solver.cpp:105] Iteration 14100, lr = 0.001
I0517 23:28:56.822623 6025 solver.cpp:218] Iteration 14200 (1.51061 iter/s, 66.1985s/100 iters), loss = 3.41097
I0517 23:28:56.822947 6025 solver.cpp:237] Train net output #0: loss = 4.65195 (* 1 = 4.65195 loss)
I0517 23:28:56.823004 6025 sgd_solver.cpp:105] Iteration 14200, lr = 0.001
I0517 23:30:03.730206 6025 solver.cpp:218] Iteration 14300 (1.49466 iter/s, 66.9048s/100 iters), loss = 3.29885
I0517 23:30:03.730501 6025 solver.cpp:237] Train net output #0: loss = 4.7709 (* 1 = 4.7709 loss)
I0517 23:30:03.730541 6025 sgd_solver.cpp:105] Iteration 14300, lr = 0.001
I0517 23:31:09.867079 6025 solver.cpp:218] Iteration 14400 (1.51208 iter/s, 66.1341s/100 iters), loss = 3.35262
I0517 23:31:09.867408 6025 solver.cpp:237] Train net output #0: loss = 4.89925 (* 1 = 4.89925 loss)
I0517 23:31:09.867465 6025 sgd_solver.cpp:105] Iteration 14400, lr = 0.001
I0517 23:32:16.924651 6025 solver.cpp:218] Iteration 14500 (1.49132 iter/s, 67.0547s/100 iters), loss = 3.09137
I0517 23:32:16.924885 6025 solver.cpp:237] Train net output #0: loss = 2.76907 (* 1 = 2.76907 loss)
I0517 23:32:16.924916 6025 sgd_solver.cpp:105] Iteration 14500, lr = 0.001
I0517 23:33:23.167138 6025 solver.cpp:218] Iteration 14600 (1.50967 iter/s, 66.2397s/100 iters), loss = 3.14406
I0517 23:33:23.167986 6025 solver.cpp:237] Train net output #0: loss = 2.97673 (* 1 = 2.97673 loss)
I0517 23:33:23.168004 6025 sgd_solver.cpp:105] Iteration 14600, lr = 0.001
I0517 23:34:28.899629 6025 solver.cpp:218] Iteration 14700 (1.5214 iter/s, 65.7291s/100 iters), loss = 3.36
I0517 23:34:28.901726 6025 solver.cpp:237] Train net output #0: loss = 4.63357 (* 1 = 4.63357 loss)
I0517 23:34:28.901748 6025 sgd_solver.cpp:105] Iteration 14700, lr = 0.001
I0517 23:35:35.107949 6025 solver.cpp:218] Iteration 14800 (1.51049 iter/s, 66.2037s/100 iters), loss = 3.26042
I0517 23:35:35.108412 6025 solver.cpp:237] Train net output #0: loss = 2.56092 (* 1 = 2.56092 loss)
I0517 23:35:35.108438 6025 sgd_solver.cpp:105] Iteration 14800, lr = 0.001
I0517 23:36:40.630734 6025 solver.cpp:218] Iteration 14900 (1.52626 iter/s, 65.5198s/100 iters), loss = 3.20806
I0517 23:36:40.631074 6025 solver.cpp:237] Train net output #0: loss = 4.74836 (* 1 = 4.74836 loss)
I0517 23:36:40.631155 6025 sgd_solver.cpp:105] Iteration 14900, lr = 0.001
I0517 23:37:45.862624 6025 solver.cpp:218] Iteration 15000 (1.53306 iter/s, 65.2291s/100 iters), loss = 3.21925
I0517 23:37:45.862831 6025 solver.cpp:237] Train net output #0: loss = 2.46631 (* 1 = 2.46631 loss)
I0517 23:37:45.862859 6025 sgd_solver.cpp:105] Iteration 15000, lr = 0.001
I0517 23:38:51.457794 6025 solver.cpp:218] Iteration 15100 (1.52457 iter/s, 65.5925s/100 iters), loss = 3.3912
I0517 23:38:51.458031 6025 solver.cpp:237] Train net output #0: loss = 2.7772 (* 1 = 2.7772 loss)
I0517 23:38:51.458075 6025 sgd_solver.cpp:105] Iteration 15100, lr = 0.001
I0517 23:39:57.375890 6025 solver.cpp:218] Iteration 15200 (1.5171 iter/s, 65.9153s/100 iters), loss = 3.2865
I0517 23:39:57.376178 6025 solver.cpp:237] Train net output #0: loss = 3.03518 (* 1 = 3.03518 loss)
I0517 23:39:57.376227 6025 sgd_solver.cpp:105] Iteration 15200, lr = 0.001
I0517 23:41:02.829159 6025 solver.cpp:218] Iteration 15300 (1.52787 iter/s, 65.4505s/100 iters), loss = 3.18247
I0517 23:41:02.829435 6025 solver.cpp:237] Train net output #0: loss = 2.53768 (* 1 = 2.53768 loss)
I0517 23:41:02.829476 6025 sgd_solver.cpp:105] Iteration 15300, lr = 0.001
I0517 23:42:08.379819 6025 solver.cpp:218] Iteration 15400 (1.5256 iter/s, 65.5479s/100 iters), loss = 3.39127
I0517 23:42:08.380100 6025 solver.cpp:237] Train net output #0: loss = 2.91923 (* 1 = 2.91923 loss)
I0517 23:42:08.380143 6025 sgd_solver.cpp:105] Iteration 15400, lr = 0.001
I0517 23:43:13.950414 6025 solver.cpp:218] Iteration 15500 (1.52514 iter/s, 65.5678s/100 iters), loss = 3.30596
I0517 23:43:13.952946 6025 solver.cpp:237] Train net output #0: loss = 2.89298 (* 1 = 2.89298 loss)
I0517 23:43:13.952986 6025 sgd_solver.cpp:105] Iteration 15500, lr = 0.001
I0517 23:44:19.562738 6025 solver.cpp:218] Iteration 15600 (1.52422 iter/s, 65.6073s/100 iters), loss = 3.15373
I0517 23:44:19.563055 6025 solver.cpp:237] Train net output #0: loss = 2.68992 (* 1 = 2.68992 loss)
I0517 23:44:19.563073 6025 sgd_solver.cpp:105] Iteration 15600, lr = 0.001
I0517 23:45:25.562948 6025 solver.cpp:218] Iteration 15700 (1.51521 iter/s, 65.9974s/100 iters), loss = 3.34555
I0517 23:45:25.563222 6025 solver.cpp:237] Train net output #0: loss = 2.00049 (* 1 = 2.00049 loss)
I0517 23:45:25.563266 6025 sgd_solver.cpp:105] Iteration 15700, lr = 0.001
I0517 23:46:31.937836 6025 solver.cpp:218] Iteration 15800 (1.50666 iter/s, 66.3721s/100 iters), loss = 3.2193
I0517 23:46:31.938109 6025 solver.cpp:237] Train net output #0: loss = 2.73462 (* 1 = 2.73462 loss)
I0517 23:46:31.938150 6025 sgd_solver.cpp:105] Iteration 15800, lr = 0.001
I0517 23:47:38.658743 6025 solver.cpp:218] Iteration 15900 (1.49884 iter/s, 66.7181s/100 iters), loss = 3.25329
I0517 23:47:38.659808 6025 solver.cpp:237] Train net output #0: loss = 3.6281 (* 1 = 3.6281 loss)
I0517 23:47:38.659847 6025 sgd_solver.cpp:105] Iteration 15900, lr = 0.001
I0517 23:48:45.985926 6025 solver.cpp:218] Iteration 16000 (1.48536 iter/s, 67.3236s/100 iters), loss = 3.26715
I0517 23:48:45.986165 6025 solver.cpp:237] Train net output #0: loss = 4.75522 (* 1 = 4.75522 loss)
I0517 23:48:45.986181 6025 sgd_solver.cpp:105] Iteration 16000, lr = 0.001
I0517 23:48:54.708519 6025 solver.cpp:447] Snapshotting to binary proto file snapshot/ft_all_iter_16014.caffemodel
I0517 23:48:55.651166 6025 sgd_solver.cpp:273] Snapshotting solver state to binary proto file snapshot/ft_all_iter_16014.solverstate
I0517 23:48:55.771153 6025 solver.cpp:330] Iteration 16014, Testing net (#0)
I0517 23:51:02.715945 6073 data_layer.cpp:73] Restarting data prefetching from start.
I0517 23:51:02.982607 6025 solver.cpp:397] Test net output #0: accuracy = 0.301363
I0517 23:51:02.982686 6025 solver.cpp:397] Test net output #1: loss = 3.15939 (* 1 = 3.15939 loss)
I0517 23:51:59.937142 6025 solver.cpp:218] Iteration 16100 (0.515614 iter/s, 193.944s/100 iters), loss = 3.28241
I0517 23:51:59.941325 6025 solver.cpp:237] Train net output #0: loss = 4.8074 (* 1 = 4.8074 loss)
I0517 23:51:59.941371 6025 sgd_solver.cpp:105] Iteration 16100, lr = 0.001
I0517 23:53:05.737179 6025 solver.cpp:218] Iteration 16200 (1.51991 iter/s, 65.7934s/100 iters), loss = 3.13233
I0517 23:53:05.737480 6025 solver.cpp:237] Train net output #0: loss = 2.7204 (* 1 = 2.7204 loss)
I0517 23:53:05.737531 6025 sgd_solver.cpp:105] Iteration 16200, lr = 0.001
I0517 23:54:11.025419 6025 solver.cpp:218] Iteration 16300 (1.53173 iter/s, 65.2855s/100 iters), loss = 3.24558
I0517 23:54:11.025682 6025 solver.cpp:237] Train net output #0: loss = 3.46103 (* 1 = 3.46103 loss)
I0517 23:54:11.025714 6025 sgd_solver.cpp:105] Iteration 16300, lr = 0.001
I0517 23:55:16.612893 6025 solver.cpp:218] Iteration 16400 (1.52475 iter/s, 65.5847s/100 iters), loss = 3.19004
I0517 23:55:16.614573 6025 solver.cpp:237] Train net output #0: loss = 3.14081 (* 1 = 3.14081 loss)
I0517 23:55:16.614594 6025 sgd_solver.cpp:105] Iteration 16400, lr = 0.001
I0517 23:56:22.323063 6025 solver.cpp:218] Iteration 16500 (1.52193 iter/s, 65.706s/100 iters), loss = 3.17876
I0517 23:56:22.324175 6025 solver.cpp:237] Train net output #0: loss = 2.38872 (* 1 = 2.38872 loss)
I0517 23:56:22.324206 6025 sgd_solver.cpp:105] Iteration 16500, lr = 0.001
I0517 23:57:28.245656 6025 solver.cpp:218] Iteration 16600 (1.51702 iter/s, 65.9189s/100 iters), loss = 3.12817
I0517 23:57:28.246795 6025 solver.cpp:237] Train net output #0: loss = 2.65556 (* 1 = 2.65556 loss)
I0517 23:57:28.246822 6025 sgd_solver.cpp:105] Iteration 16600, lr = 0.001
I0517 23:58:33.528709 6025 solver.cpp:218] Iteration 16700 (1.53188 iter/s, 65.2794s/100 iters), loss = 3.32004
I0517 23:58:33.528942 6025 solver.cpp:237] Train net output #0: loss = 2.7714 (* 1 = 2.7714 loss)
I0517 23:58:33.528971 6025 sgd_solver.cpp:105] Iteration 16700, lr = 0.001
I0517 23:59:39.335624 6025 solver.cpp:218] Iteration 16800 (1.51966 iter/s, 65.8041s/100 iters), loss = 3.21562
I0517 23:59:39.337035 6025 solver.cpp:237] Train net output #0: loss = 3.35142 (* 1 = 3.35142 loss)
I0517 23:59:39.337077 6025 sgd_solver.cpp:105] Iteration 16800, lr = 0.001
I0518 00:00:44.475838 6025 solver.cpp:218] Iteration 16900 (1.53524 iter/s, 65.1363s/100 iters), loss = 3.25742
I0518 00:00:44.476052 6025 solver.cpp:237] Train net output #0: loss = 2.4652 (* 1 = 2.4652 loss)
I0518 00:00:44.476084 6025 sgd_solver.cpp:105] Iteration 16900, lr = 0.001
I0518 00:01:49.865896 6025 solver.cpp:218] Iteration 17000 (1.52935 iter/s, 65.3873s/100 iters), loss = 3.18296
I0518 00:01:49.869823 6025 solver.cpp:237] Train net output #0: loss = 2.99331 (* 1 = 2.99331 loss)
I0518 00:01:49.869845 6025 sgd_solver.cpp:105] Iteration 17000, lr = 0.001
I0518 00:02:55.655383 6025 solver.cpp:218] Iteration 17100 (1.52015 iter/s, 65.7831s/100 iters), loss = 3.10279
I0518 00:02:55.656808 6025 solver.cpp:237] Train net output #0: loss = 2.62399 (* 1 = 2.62399 loss)
I0518 00:02:55.656831 6025 sgd_solver.cpp:105] Iteration 17100, lr = 0.001
I0518 00:04:01.347654 6025 solver.cpp:218] Iteration 17200 (1.52234 iter/s, 65.6883s/100 iters), loss = 3.31907
I0518 00:04:01.349073 6025 solver.cpp:237] Train net output #0: loss = 3.42974 (* 1 = 3.42974 loss)
I0518 00:04:01.349107 6025 sgd_solver.cpp:105] Iteration 17200, lr = 0.001
I0518 00:05:07.614161 6025 solver.cpp:218] Iteration 17300 (1.50915 iter/s, 66.2626s/100 iters), loss = 3.28902
I0518 00:05:07.614692 6025 solver.cpp:237] Train net output #0: loss = 3.29192 (* 1 = 3.29192 loss)
I0518 00:05:07.614707 6025 sgd_solver.cpp:105] Iteration 17300, lr = 0.001
I0518 00:06:14.243191 6025 solver.cpp:218] Iteration 17400 (1.50092 iter/s, 66.626s/100 iters), loss = 3.31151
I0518 00:06:14.243484 6025 solver.cpp:237] Train net output #0: loss = 4.88809 (* 1 = 4.88809 loss)
I0518 00:06:14.243520 6025 sgd_solver.cpp:105] Iteration 17400, lr = 0.001
I0518 00:07:20.891865 6025 solver.cpp:218] Iteration 17500 (1.50047 iter/s, 66.6459s/100 iters), loss = 3.27083
I0518 00:07:20.892145 6025 solver.cpp:237] Train net output #0: loss = 4.69463 (* 1 = 4.69463 loss)
I0518 00:07:20.892210 6025 sgd_solver.cpp:105] Iteration 17500, lr = 0.001
I0518 00:08:27.516322 6025 solver.cpp:218] Iteration 17600 (1.50101 iter/s, 66.6217s/100 iters), loss = 3.33938
I0518 00:08:27.516628 6025 solver.cpp:237] Train net output #0: loss = 2.32217 (* 1 = 2.32217 loss)
I0518 00:08:27.516674 6025 sgd_solver.cpp:105] Iteration 17600, lr = 0.001
I0518 00:09:33.830814 6025 solver.cpp:218] Iteration 17700 (1.50803 iter/s, 66.3117s/100 iters), loss = 3.244
I0518 00:09:33.831856 6025 solver.cpp:237] Train net output #0: loss = 2.325 (* 1 = 2.325 loss)
I0518 00:09:33.831885 6025 sgd_solver.cpp:105] Iteration 17700, lr = 0.001
I0518 00:10:39.648632 6025 solver.cpp:218] Iteration 17800 (1.51943 iter/s, 65.8143s/100 iters), loss = 3.17872
I0518 00:10:39.650249 6025 solver.cpp:237] Train net output #0: loss = 2.08341 (* 1 = 2.08341 loss)
I0518 00:10:39.650264 6025 sgd_solver.cpp:105] Iteration 17800, lr = 0.001
I0518 00:11:45.871610 6025 solver.cpp:218] Iteration 17900 (1.51014 iter/s, 66.2188s/100 iters), loss = 3.13501
I0518 00:11:45.872572 6025 solver.cpp:237] Train net output #0: loss = 3.02421 (* 1 = 3.02421 loss)
I0518 00:11:45.872602 6025 sgd_solver.cpp:105] Iteration 17900, lr = 0.001
I0518 00:12:51.491927 6025 solver.cpp:218] Iteration 18000 (1.524 iter/s, 65.6169s/100 iters), loss = 3.26607
I0518 00:12:51.492195 6025 solver.cpp:237] Train net output #0: loss = 2.44312 (* 1 = 2.44312 loss)
I0518 00:12:51.492238 6025 sgd_solver.cpp:105] Iteration 18000, lr = 0.001
I0518 00:13:57.407050 6025 solver.cpp:218] Iteration 18100 (1.51717 iter/s, 65.9124s/100 iters), loss = 3.27034
I0518 00:13:57.408053 6025 solver.cpp:237] Train net output #0: loss = 4.79642 (* 1 = 4.79642 loss)
I0518 00:13:57.408090 6025 sgd_solver.cpp:105] Iteration 18100, lr = 0.001
I0518 00:15:03.383880 6025 solver.cpp:218] Iteration 18200 (1.51576 iter/s, 65.9733s/100 iters), loss = 3.40747
I0518 00:15:03.385550 6025 solver.cpp:237] Train net output #0: loss = 2.78496 (* 1 = 2.78496 loss)
I0518 00:15:03.385587 6025 sgd_solver.cpp:105] Iteration 18200, lr = 0.001
I0518 00:16:09.398579 6025 solver.cpp:218] Iteration 18300 (1.51491 iter/s, 66.0105s/100 iters), loss = 3.26282
I0518 00:16:09.399368 6025 solver.cpp:237] Train net output #0: loss = 2.98686 (* 1 = 2.98686 loss)
I0518 00:16:09.399461 6025 sgd_solver.cpp:105] Iteration 18300, lr = 0.001
I0518 00:17:14.369243 6025 solver.cpp:218] Iteration 18400 (1.53923 iter/s, 64.9674s/100 iters), loss = 3.53952
I0518 00:17:14.369868 6025 solver.cpp:237] Train net output #0: loss = 4.94464 (* 1 = 4.94464 loss)
I0518 00:17:14.369897 6025 sgd_solver.cpp:105] Iteration 18400, lr = 0.001
I0518 00:18:19.906430 6025 solver.cpp:218] Iteration 18500 (1.52592 iter/s, 65.5341s/100 iters), loss = 3.38734
I0518 00:18:19.906687 6025 solver.cpp:237] Train net output #0: loss = 4.5784 (* 1 = 4.5784 loss)
I0518 00:18:19.906734 6025 sgd_solver.cpp:105] Iteration 18500, lr = 0.001
I0518 00:19:25.609131 6025 solver.cpp:218] Iteration 18600 (1.52207 iter/s, 65.6999s/100 iters), loss = 3.3244
I0518 00:19:25.609509 6025 solver.cpp:237] Train net output #0: loss = 3.01102 (* 1 = 3.01102 loss)
I0518 00:19:25.609556 6025 sgd_solver.cpp:105] Iteration 18600, lr = 0.001
I0518 00:20:31.215303 6025 solver.cpp:218] Iteration 18700 (1.52431 iter/s, 65.6033s/100 iters), loss = 3.28955
I0518 00:20:31.219250 6025 solver.cpp:237] Train net output #0: loss = 2.24339 (* 1 = 2.24339 loss)
I0518 00:20:31.219295 6025 sgd_solver.cpp:105] Iteration 18700, lr = 0.001
I0518 00:21:36.928256 6025 solver.cpp:218] Iteration 18800 (1.52192 iter/s, 65.7065s/100 iters), loss = 3.32384
I0518 00:21:36.928712 6025 solver.cpp:237] Train net output #0: loss = 4.77703 (* 1 = 4.77703 loss)
I0518 00:21:36.928740 6025 sgd_solver.cpp:105] Iteration 18800, lr = 0.001
I0518 00:22:42.563158 6025 solver.cpp:218] Iteration 18900 (1.52365 iter/s, 65.6319s/100 iters), loss = 3.40108
I0518 00:22:42.563452 6025 solver.cpp:237] Train net output #0: loss = 3.30896 (* 1 = 3.30896 loss)
I0518 00:22:42.563506 6025 sgd_solver.cpp:105] Iteration 18900, lr = 0.001
I0518 00:23:48.607393 6025 solver.cpp:218] Iteration 19000 (1.5142 iter/s, 66.0414s/100 iters), loss = 3.33411
I0518 00:23:48.609195 6025 solver.cpp:237] Train net output #0: loss = 2.71973 (* 1 = 2.71973 loss)
I0518 00:23:48.609217 6025 sgd_solver.cpp:105] Iteration 19000, lr = 0.001
I0518 00:24:55.354874 6025 solver.cpp:218] Iteration 19100 (1.49828 iter/s, 66.7431s/100 iters), loss = 3.23834
I0518 00:24:55.355151 6025 solver.cpp:237] Train net output #0: loss = 2.58764 (* 1 = 2.58764 loss)
I0518 00:24:55.355196 6025 sgd_solver.cpp:105] Iteration 19100, lr = 0.001
I0518 00:26:01.839617 6025 solver.cpp:218] Iteration 19200 (1.50417 iter/s, 66.482s/100 iters), loss = 3.17727
I0518 00:26:01.841382 6025 solver.cpp:237] Train net output #0: loss = 3.24658 (* 1 = 3.24658 loss)
I0518 00:26:01.841426 6025 sgd_solver.cpp:105] Iteration 19200, lr = 0.001
I0518 00:27:08.504207 6025 solver.cpp:218] Iteration 19300 (1.50014 iter/s, 66.6603s/100 iters), loss = 3.35184
I0518 00:27:08.504544 6025 solver.cpp:237] Train net output #0: loss = 4.68137 (* 1 = 4.68137 loss)
I0518 00:27:08.504590 6025 sgd_solver.cpp:105] Iteration 19300, lr = 0.001
I0518 00:28:14.988909 6025 solver.cpp:218] Iteration 19400 (1.50417 iter/s, 66.4819s/100 iters), loss = 3.1752
I0518 00:28:14.989130 6025 solver.cpp:237] Train net output #0: loss = 2.25611 (* 1 = 2.25611 loss)
I0518 00:28:14.989164 6025 sgd_solver.cpp:105] Iteration 19400, lr = 0.001
I0518 00:29:21.033922 6025 solver.cpp:218] Iteration 19500 (1.51418 iter/s, 66.0423s/100 iters), loss = 3.38093
I0518 00:29:21.041787 6025 solver.cpp:237] Train net output #0: loss = 2.6032 (* 1 = 2.6032 loss)
I0518 00:29:21.041826 6025 sgd_solver.cpp:105] Iteration 19500, lr = 0.001
I0518 00:30:26.557373 6025 solver.cpp:218] Iteration 19600 (1.52641 iter/s, 65.5131s/100 iters), loss = 3.35732
I0518 00:30:26.561064 6025 solver.cpp:237] Train net output #0: loss = 2.2306 (* 1 = 2.2306 loss)
I0518 00:30:26.561084 6025 sgd_solver.cpp:105] Iteration 19600, lr = 0.001
I0518 00:31:30.999297 6025 solver.cpp:218] Iteration 19700 (1.55193 iter/s, 64.4358s/100 iters), loss = 3.26113
I0518 00:31:30.999593 6025 solver.cpp:237] Train net output #0: loss = 3.65456 (* 1 = 3.65456 loss)
I0518 00:31:30.999644 6025 sgd_solver.cpp:105] Iteration 19700, lr = 0.001
I0518 00:32:35.002965 6025 solver.cpp:218] Iteration 19800 (1.56248 iter/s, 64.001s/100 iters), loss = 3.28403
I0518 00:32:35.003288 6025 solver.cpp:237] Train net output #0: loss = 2.27347 (* 1 = 2.27347 loss)
I0518 00:32:35.003340 6025 sgd_solver.cpp:105] Iteration 19800, lr = 0.001
I0518 00:33:39.350858 6025 solver.cpp:218] Iteration 19900 (1.55412 iter/s, 64.3451s/100 iters), loss = 3.13961
I0518 00:33:39.351065 6025 solver.cpp:237] Train net output #0: loss = 2.72955 (* 1 = 2.72955 loss)
I0518 00:33:39.351083 6025 sgd_solver.cpp:105] Iteration 19900, lr = 0.001
I0518 00:34:43.420694 6025 solver.cpp:218] Iteration 20000 (1.56086 iter/s, 64.0672s/100 iters), loss = 3.11589
I0518 00:34:43.420979 6025 solver.cpp:237] Train net output #0: loss = 4.68077 (* 1 = 4.68077 loss)
I0518 00:34:43.421018 6025 sgd_solver.cpp:105] Iteration 20000, lr = 0.001
I0518 00:35:47.311122 6025 solver.cpp:218] Iteration 20100 (1.56525 iter/s, 63.8877s/100 iters), loss = 3.20457
I0518 00:35:47.311415 6025 solver.cpp:237] Train net output #0: loss = 3.05761 (* 1 = 3.05761 loss)
I0518 00:35:47.311468 6025 sgd_solver.cpp:105] Iteration 20100, lr = 0.001
I0518 00:36:51.633469 6025 solver.cpp:218] Iteration 20200 (1.55474 iter/s, 64.3196s/100 iters), loss = 3.282
I0518 00:36:51.633682 6025 solver.cpp:237] Train net output #0: loss = 2.97429 (* 1 = 2.97429 loss)
I0518 00:36:51.633697 6025 sgd_solver.cpp:105] Iteration 20200, lr = 0.001
I0518 00:37:56.373124 6025 solver.cpp:218] Iteration 20300 (1.54471 iter/s, 64.7369s/100 iters), loss = 3.28443
I0518 00:37:56.374200 6025 solver.cpp:237] Train net output #0: loss = 4.75623 (* 1 = 4.75623 loss)
I0518 00:37:56.374251 6025 sgd_solver.cpp:105] Iteration 20300, lr = 0.001
I0518 00:39:02.071547 6025 solver.cpp:218] Iteration 20400 (1.52219 iter/s, 65.6949s/100 iters), loss = 3.20863
I0518 00:39:02.071792 6025 solver.cpp:237] Train net output #0: loss = 2.76407 (* 1 = 2.76407 loss)
I0518 00:39:02.071825 6025 sgd_solver.cpp:105] Iteration 20400, lr = 0.001
I0518 00:40:07.606811 6025 solver.cpp:218] Iteration 20500 (1.52596 iter/s, 65.5325s/100 iters), loss = 3.32871
I0518 00:40:07.607074 6025 solver.cpp:237] Train net output #0: loss = 2.68253 (* 1 = 2.68253 loss)
I0518 00:40:07.607095 6025 sgd_solver.cpp:105] Iteration 20500, lr = 0.001
I0518 00:41:13.115551 6025 solver.cpp:218] Iteration 20600 (1.52658 iter/s, 65.5059s/100 iters), loss = 3.40368
I0518 00:41:13.116250 6025 solver.cpp:237] Train net output #0: loss = 4.64271 (* 1 = 4.64271 loss)
I0518 00:41:13.116279 6025 sgd_solver.cpp:105] Iteration 20600, lr = 0.001
I0518 00:42:18.654151 6025 solver.cpp:218] Iteration 20700 (1.52589 iter/s, 65.5353s/100 iters), loss = 3.32216
I0518 00:42:18.654460 6025 solver.cpp:237] Train net output #0: loss = 2.9968 (* 1 = 2.9968 loss)
I0518 00:42:18.654530 6025 sgd_solver.cpp:105] Iteration 20700, lr = 0.001
I0518 00:43:23.978193 6025 solver.cpp:218] Iteration 20800 (1.53089 iter/s, 65.3213s/100 iters), loss = 3.27252
I0518 00:43:23.978503 6025 solver.cpp:237] Train net output #0: loss = 2.10341 (* 1 = 2.10341 loss)
I0518 00:43:23.978559 6025 sgd_solver.cpp:105] Iteration 20800, lr = 0.001
I0518 00:44:30.129482 6025 solver.cpp:218] Iteration 20900 (1.51175 iter/s, 66.1485s/100 iters), loss = 3.22278
I0518 00:44:30.131305 6025 solver.cpp:237] Train net output #0: loss = 3.41018 (* 1 = 3.41018 loss)
I0518 00:44:30.131327 6025 sgd_solver.cpp:105] Iteration 20900, lr = 0.001
I0518 00:45:35.923247 6025 solver.cpp:218] Iteration 21000 (1.52 iter/s, 65.7894s/100 iters), loss = 3.30129
I0518 00:45:35.924690 6025 solver.cpp:237] Train net output #0: loss = 2.42414 (* 1 = 2.42414 loss)
I0518 00:45:35.924739 6025 sgd_solver.cpp:105] Iteration 21000, lr = 0.001
I0518 00:46:42.374395 6025 solver.cpp:218] Iteration 21100 (1.50495 iter/s, 66.4472s/100 iters), loss = 3.29982
I0518 00:46:42.376497 6025 solver.cpp:237] Train net output #0: loss = 5.07168 (* 1 = 5.07168 loss)
I0518 00:46:42.376530 6025 sgd_solver.cpp:105] Iteration 21100, lr = 0.001
I0518 00:47:48.037338 6025 solver.cpp:218] Iteration 21200 (1.52304 iter/s, 65.6583s/100 iters), loss = 3.19565
I0518 00:47:48.040406 6025 solver.cpp:237] Train net output #0: loss = 2.52236 (* 1 = 2.52236 loss)
I0518 00:47:48.040442 6025 sgd_solver.cpp:105] Iteration 21200, lr = 0.001
I0518 00:48:53.611297 6025 solver.cpp:218] Iteration 21300 (1.52512 iter/s, 65.5684s/100 iters), loss = 3.20112
I0518 00:48:53.611563 6025 solver.cpp:237] Train net output #0: loss = 2.81963 (* 1 = 2.81963 loss)
I0518 00:48:53.611609 6025 sgd_solver.cpp:105] Iteration 21300, lr = 0.001
I0518 00:49:58.673970 6025 solver.cpp:218] Iteration 21400 (1.53704 iter/s, 65.06s/100 iters), loss = 3.30751
I0518 00:49:58.674618 6025 solver.cpp:237] Train net output #0: loss = 2.29276 (* 1 = 2.29276 loss)
I0518 00:49:58.674651 6025 sgd_solver.cpp:105] Iteration 21400, lr = 0.001
I0518 00:51:04.149359 6025 solver.cpp:218] Iteration 21500 (1.52736 iter/s, 65.4722s/100 iters), loss = 3.15332
I0518 00:51:04.150365 6025 solver.cpp:237] Train net output #0: loss = 2.06507 (* 1 = 2.06507 loss)
I0518 00:51:04.150387 6025 sgd_solver.cpp:105] Iteration 21500, lr = 0.001
I0518 00:52:09.800161 6025 solver.cpp:218] Iteration 21600 (1.52329 iter/s, 65.6473s/100 iters), loss = 3.16391
I0518 00:52:09.801009 6025 solver.cpp:237] Train net output #0: loss = 4.56668 (* 1 = 4.56668 loss)
I0518 00:52:09.801030 6025 sgd_solver.cpp:105] Iteration 21600, lr = 0.001
I0518 00:53:15.040366 6025 solver.cpp:218] Iteration 21700 (1.53288 iter/s, 65.2368s/100 iters), loss = 3.25173
I0518 00:53:15.047258 6025 solver.cpp:237] Train net output #0: loss = 2.79132 (* 1 = 2.79132 loss)
I0518 00:53:15.047293 6025 sgd_solver.cpp:105] Iteration 21700, lr = 0.001
I0518 00:54:20.781628 6025 solver.cpp:218] Iteration 21800 (1.52133 iter/s, 65.7319s/100 iters), loss = 3.22517
I0518 00:54:20.784745 6025 solver.cpp:237] Train net output #0: loss = 4.65922 (* 1 = 4.65922 loss)
I0518 00:54:20.784806 6025 sgd_solver.cpp:105] Iteration 21800, lr = 0.001
I0518 00:55:25.974685 6025 solver.cpp:218] Iteration 21900 (1.53404 iter/s, 65.1875s/100 iters), loss = 3.07221
I0518 00:55:25.974934 6025 solver.cpp:237] Train net output #0: loss = 2.76034 (* 1 = 2.76034 loss)
I0518 00:55:25.974978 6025 sgd_solver.cpp:105] Iteration 21900, lr = 0.001
I0518 00:56:31.423637 6025 solver.cpp:218] Iteration 22000 (1.52797 iter/s, 65.4462s/100 iters), loss = 3.14869
I0518 00:56:31.423873 6025 solver.cpp:237] Train net output #0: loss = 3.65577 (* 1 = 3.65577 loss)
I0518 00:56:31.423894 6025 sgd_solver.cpp:105] Iteration 22000, lr = 0.001
I0518 00:57:36.830154 6025 solver.cpp:218] Iteration 22100 (1.52896 iter/s, 65.4038s/100 iters), loss = 3.17913
I0518 00:57:36.830399 6025 solver.cpp:237] Train net output #0: loss = 3.19776 (* 1 = 3.19776 loss)
I0518 00:57:36.830426 6025 sgd_solver.cpp:105] Iteration 22100, lr = 0.001
I0518 00:58:42.229933 6025 solver.cpp:218] Iteration 22200 (1.52912 iter/s, 65.397s/100 iters), loss = 3.21631
I0518 00:58:42.230206 6025 solver.cpp:237] Train net output #0: loss = 2.91574 (* 1 = 2.91574 loss)
I0518 00:58:42.230262 6025 sgd_solver.cpp:105] Iteration 22200, lr = 0.001
I0518 00:59:47.618665 6025 solver.cpp:218] Iteration 22300 (1.52938 iter/s, 65.386s/100 iters), loss = 3.23448
I0518 00:59:47.620259 6025 solver.cpp:237] Train net output #0: loss = 2.81821 (* 1 = 2.81821 loss)
I0518 00:59:47.620280 6025 sgd_solver.cpp:105] Iteration 22300, lr = 0.001
I0518 01:00:53.565273 6025 solver.cpp:218] Iteration 22400 (1.51647 iter/s, 65.9425s/100 iters), loss = 3.14083
I0518 01:00:53.565608 6025 solver.cpp:237] Train net output #0: loss = 4.91902 (* 1 = 4.91902 loss)
I0518 01:00:53.565652 6025 sgd_solver.cpp:105] Iteration 22400, lr = 0.001
I0518 01:02:00.286890 6025 solver.cpp:218] Iteration 22500 (1.49883 iter/s, 66.7188s/100 iters), loss = 3.21708
I0518 01:02:00.287204 6025 solver.cpp:237] Train net output #0: loss = 4.74118 (* 1 = 4.74118 loss)
I0518 01:02:00.287264 6025 sgd_solver.cpp:105] Iteration 22500, lr = 0.001
I0518 01:03:06.583576 6025 solver.cpp:218] Iteration 22600 (1.50843 iter/s, 66.2939s/100 iters), loss = 3.15351
I0518 01:03:06.583814 6025 solver.cpp:237] Train net output #0: loss = 4.85575 (* 1 = 4.85575 loss)
I0518 01:03:06.583858 6025 sgd_solver.cpp:105] Iteration 22600, lr = 0.001
I0518 01:04:12.469537 6025 solver.cpp:218] Iteration 22700 (1.51784 iter/s, 65.8832s/100 iters), loss = 3.22127
I0518 01:04:12.469743 6025 solver.cpp:237] Train net output #0: loss = 2.1156 (* 1 = 2.1156 loss)
I0518 01:04:12.469774 6025 sgd_solver.cpp:105] Iteration 22700, lr = 0.001
I0518 01:05:18.090705 6025 solver.cpp:218] Iteration 22800 (1.52396 iter/s, 65.6185s/100 iters), loss = 3.26426
I0518 01:05:18.090868 6025 solver.cpp:237] Train net output #0: loss = 2.82325 (* 1 = 2.82325 loss)
I0518 01:05:18.090884 6025 sgd_solver.cpp:105] Iteration 22800, lr = 0.001
I0518 01:06:23.818228 6025 solver.cpp:218] Iteration 22900 (1.52149 iter/s, 65.7248s/100 iters), loss = 3.18714
I0518 01:06:23.823251 6025 solver.cpp:237] Train net output #0: loss = 2.94678 (* 1 = 2.94678 loss)
I0518 01:06:23.823282 6025 sgd_solver.cpp:105] Iteration 22900, lr = 0.001
I0518 01:07:29.867378 6025 solver.cpp:218] Iteration 23000 (1.5142 iter/s, 66.0416s/100 iters), loss = 3.26551
I0518 01:07:29.868263 6025 solver.cpp:237] Train net output #0: loss = 4.71723 (* 1 = 4.71723 loss)
I0518 01:07:29.868290 6025 sgd_solver.cpp:105] Iteration 23000, lr = 0.001
I0518 01:08:35.656791 6025 solver.cpp:218] Iteration 23100 (1.52008 iter/s, 65.786s/100 iters), loss = 3.32161
I0518 01:08:35.657133 6025 solver.cpp:237] Train net output #0: loss = 3.21475 (* 1 = 3.21475 loss)
I0518 01:08:35.657173 6025 sgd_solver.cpp:105] Iteration 23100, lr = 0.001
I0518 01:09:40.779387 6025 solver.cpp:218] Iteration 23200 (1.53563 iter/s, 65.1198s/100 iters), loss = 3.29364
I0518 01:09:40.782951 6025 solver.cpp:237] Train net output #0: loss = 2.80262 (* 1 = 2.80262 loss)
I0518 01:09:40.782994 6025 sgd_solver.cpp:105] Iteration 23200, lr = 0.001
I0518 01:10:46.063959 6025 solver.cpp:218] Iteration 23300 (1.5319 iter/s, 65.2785s/100 iters), loss = 3.27062
I0518 01:10:46.065439 6025 solver.cpp:237] Train net output #0: loss = 3.12498 (* 1 = 3.12498 loss)
I0518 01:10:46.065479 6025 sgd_solver.cpp:105] Iteration 23300, lr = 0.001
I0518 01:11:51.549978 6025 solver.cpp:218] Iteration 23400 (1.52714 iter/s, 65.482s/100 iters), loss = 3.098
I0518 01:11:51.550925 6025 solver.cpp:237] Train net output #0: loss = 2.54254 (* 1 = 2.54254 loss)
I0518 01:11:51.550941 6025 sgd_solver.cpp:105] Iteration 23400, lr = 0.001
I0518 01:12:56.448999 6025 solver.cpp:218] Iteration 23500 (1.54094 iter/s, 64.8955s/100 iters), loss = 3.17379
I0518 01:12:56.449239 6025 solver.cpp:237] Train net output #0: loss = 4.68911 (* 1 = 4.68911 loss)
I0518 01:12:56.449271 6025 sgd_solver.cpp:105] Iteration 23500, lr = 0.001
I0518 01:14:01.789089 6025 solver.cpp:218] Iteration 23600 (1.53052 iter/s, 65.3373s/100 iters), loss = 3.14374
I0518 01:14:01.790097 6025 solver.cpp:237] Train net output #0: loss = 2.20563 (* 1 = 2.20563 loss)
I0518 01:14:01.790130 6025 sgd_solver.cpp:105] Iteration 23600, lr = 0.001
I0518 01:15:07.021960 6025 solver.cpp:218] Iteration 23700 (1.53305 iter/s, 65.2294s/100 iters), loss = 3.1901
I0518 01:15:07.022181 6025 solver.cpp:237] Train net output #0: loss = 2.72775 (* 1 = 2.72775 loss)
I0518 01:15:07.022205 6025 sgd_solver.cpp:105] Iteration 23700, lr = 0.001
I0518 01:16:12.358774 6025 solver.cpp:218] Iteration 23800 (1.53059 iter/s, 65.3341s/100 iters), loss = 3.2137
I0518 01:16:12.359001 6025 solver.cpp:237] Train net output #0: loss = 4.74047 (* 1 = 4.74047 loss)
I0518 01:16:12.359019 6025 sgd_solver.cpp:105] Iteration 23800, lr = 0.001
I0518 01:17:17.922597 6025 solver.cpp:218] Iteration 23900 (1.5253 iter/s, 65.5611s/100 iters), loss = 3.18481
I0518 01:17:17.923849 6025 solver.cpp:237] Train net output #0: loss = 2.74744 (* 1 = 2.74744 loss)
I0518 01:17:17.923871 6025 sgd_solver.cpp:105] Iteration 23900, lr = 0.001
I0518 01:18:23.982712 6025 solver.cpp:218] Iteration 24000 (1.51386 iter/s, 66.0564s/100 iters), loss = 3.24698
I0518 01:18:23.983216 6025 solver.cpp:237] Train net output #0: loss = 4.85557 (* 1 = 4.85557 loss)
I0518 01:18:23.983278 6025 sgd_solver.cpp:105] Iteration 24000, lr = 0.001
I0518 01:18:37.171524 6025 solver.cpp:447] Snapshotting to binary proto file snapshot/ft_all_iter_24021.caffemodel
I0518 01:18:38.180245 6025 sgd_solver.cpp:273] Snapshotting solver state to binary proto file snapshot/ft_all_iter_24021.solverstate
I0518 01:18:38.408649 6025 solver.cpp:330] Iteration 24021, Testing net (#0)
I0518 01:20:45.687688 6073 data_layer.cpp:73] Restarting data prefetching from start.
I0518 01:20:45.959369 6025 solver.cpp:397] Test net output #0: accuracy = 0.317375
I0518 01:20:45.959447 6025 solver.cpp:397] Test net output #1: loss = 3.08232 (* 1 = 3.08232 loss)
I0518 01:21:38.807727 6025 solver.cpp:218] Iteration 24100 (0.513302 iter/s, 194.817s/100 iters), loss = 3.24526
I0518 01:21:38.808004 6025 solver.cpp:237] Train net output #0: loss = 2.70192 (* 1 = 2.70192 loss)
I0518 01:21:38.808049 6025 sgd_solver.cpp:105] Iteration 24100, lr = 0.001
I0518 01:22:44.758752 6025 solver.cpp:218] Iteration 24200 (1.51634 iter/s, 65.9482s/100 iters), loss = 3.19317
I0518 01:22:44.763188 6025 solver.cpp:237] Train net output #0: loss = 2.66276 (* 1 = 2.66276 loss)
I0518 01:22:44.763214 6025 sgd_solver.cpp:105] Iteration 24200, lr = 0.001
I0518 01:23:50.185889 6025 solver.cpp:218] Iteration 24300 (1.52858 iter/s, 65.4202s/100 iters), loss = 3.30495
I0518 01:23:50.188880 6025 solver.cpp:237] Train net output #0: loss = 2.66628 (* 1 = 2.66628 loss)
I0518 01:23:50.188900 6025 sgd_solver.cpp:105] Iteration 24300, lr = 0.001
I0518 01:24:55.650738 6025 solver.cpp:218] Iteration 24400 (1.52767 iter/s, 65.4594s/100 iters), loss = 3.1542
I0518 01:24:55.651033 6025 solver.cpp:237] Train net output #0: loss = 2.23681 (* 1 = 2.23681 loss)
I0518 01:24:55.651080 6025 sgd_solver.cpp:105] Iteration 24400, lr = 0.001
I0518 01:26:01.509201 6025 solver.cpp:218] Iteration 24500 (1.51847 iter/s, 65.8557s/100 iters), loss = 3.02828
I0518 01:26:01.509450 6025 solver.cpp:237] Train net output #0: loss = 2.5685 (* 1 = 2.5685 loss)
I0518 01:26:01.509487 6025 sgd_solver.cpp:105] Iteration 24500, lr = 0.001
I0518 01:27:06.933101 6025 solver.cpp:218] Iteration 24600 (1.52856 iter/s, 65.4212s/100 iters), loss = 3.10665
I0518 01:27:06.933339 6025 solver.cpp:237] Train net output #0: loss = 2.1645 (* 1 = 2.1645 loss)
I0518 01:27:06.933380 6025 sgd_solver.cpp:105] Iteration 24600, lr = 0.001
I0518 01:28:12.175870 6025 solver.cpp:218] Iteration 24700 (1.5328 iter/s, 65.24s/100 iters), loss = 3.14315
I0518 01:28:12.176154 6025 solver.cpp:237] Train net output #0: loss = 2.46689 (* 1 = 2.46689 loss)
I0518 01:28:12.176194 6025 sgd_solver.cpp:105] Iteration 24700, lr = 0.001
I0518 01:29:17.629515 6025 solver.cpp:218] Iteration 24800 (1.52786 iter/s, 65.4509s/100 iters), loss = 3.132
I0518 01:29:17.629725 6025 solver.cpp:237] Train net output #0: loss = 2.70367 (* 1 = 2.70367 loss)
I0518 01:29:17.629758 6025 sgd_solver.cpp:105] Iteration 24800, lr = 0.001
I0518 01:30:22.726042 6025 solver.cpp:218] Iteration 24900 (1.53624 iter/s, 65.0938s/100 iters), loss = 3.20777
I0518 01:30:22.726269 6025 solver.cpp:237] Train net output #0: loss = 1.95443 (* 1 = 1.95443 loss)
I0518 01:30:22.726287 6025 sgd_solver.cpp:105] Iteration 24900, lr = 0.001
I0518 01:31:28.565286 6025 solver.cpp:218] Iteration 25000 (1.51891 iter/s, 65.8365s/100 iters), loss = 3.2295
I0518 01:31:28.566655 6025 solver.cpp:237] Train net output #0: loss = 2.66114 (* 1 = 2.66114 loss)
I0518 01:31:28.566680 6025 sgd_solver.cpp:105] Iteration 25000, lr = 0.001
I0518 01:32:33.581425 6025 solver.cpp:218] Iteration 25100 (1.53817 iter/s, 65.0122s/100 iters), loss = 3.17127
I0518 01:32:33.584059 6025 solver.cpp:237] Train net output #0: loss = 2.98275 (* 1 = 2.98275 loss)
I0518 01:32:33.584086 6025 sgd_solver.cpp:105] Iteration 25100, lr = 0.001
I0518 01:33:39.153466 6025 solver.cpp:218] Iteration 25200 (1.52516 iter/s, 65.5669s/100 iters), loss = 3.13271
I0518 01:33:39.153959 6025 solver.cpp:237] Train net output #0: loss = 2.11327 (* 1 = 2.11327 loss)
I0518 01:33:39.153980 6025 sgd_solver.cpp:105] Iteration 25200, lr = 0.001
I0518 01:34:44.685307 6025 solver.cpp:218] Iteration 25300 (1.52605 iter/s, 65.5288s/100 iters), loss = 3.41135
I0518 01:34:44.685597 6025 solver.cpp:237] Train net output #0: loss = 2.13634 (* 1 = 2.13634 loss)
I0518 01:34:44.685614 6025 sgd_solver.cpp:105] Iteration 25300, lr = 0.001
I0518 01:35:50.285393 6025 solver.cpp:218] Iteration 25400 (1.52445 iter/s, 65.5973s/100 iters), loss = 3.27815
I0518 01:35:50.285699 6025 solver.cpp:237] Train net output #0: loss = 4.6886 (* 1 = 4.6886 loss)
I0518 01:35:50.285742 6025 sgd_solver.cpp:105] Iteration 25400, lr = 0.001
I0518 01:36:56.289207 6025 solver.cpp:218] Iteration 25500 (1.51513 iter/s, 66.001s/100 iters), loss = 3.2845
I0518 01:36:56.289575 6025 solver.cpp:237] Train net output #0: loss = 2.74899 (* 1 = 2.74899 loss)
I0518 01:36:56.289624 6025 sgd_solver.cpp:105] Iteration 25500, lr = 0.001
I0518 01:38:02.671180 6025 solver.cpp:218] Iteration 25600 (1.5065 iter/s, 66.3791s/100 iters), loss = 3.25371
I0518 01:38:02.671408 6025 solver.cpp:237] Train net output #0: loss = 2.81151 (* 1 = 2.81151 loss)
I0518 01:38:02.671443 6025 sgd_solver.cpp:105] Iteration 25600, lr = 0.001
I0518 01:39:08.989193 6025 solver.cpp:218] Iteration 25700 (1.50795 iter/s, 66.3153s/100 iters), loss = 3.30307
I0518 01:39:08.991163 6025 solver.cpp:237] Train net output #0: loss = 2.29322 (* 1 = 2.29322 loss)
I0518 01:39:08.991189 6025 sgd_solver.cpp:105] Iteration 25700, lr = 0.001
I0518 01:40:15.037704 6025 solver.cpp:218] Iteration 25800 (1.51414 iter/s, 66.0441s/100 iters), loss = 3.59289
I0518 01:40:15.037981 6025 solver.cpp:237] Train net output #0: loss = 2.78388 (* 1 = 2.78388 loss)
I0518 01:40:15.038022 6025 sgd_solver.cpp:105] Iteration 25800, lr = 0.001
I0518 01:41:21.542526 6025 solver.cpp:218] Iteration 25900 (1.50371 iter/s, 66.502s/100 iters), loss = 3.5386
I0518 01:41:21.545152 6025 solver.cpp:237] Train net output #0: loss = 2.50647 (* 1 = 2.50647 loss)
I0518 01:41:21.545182 6025 sgd_solver.cpp:105] Iteration 25900, lr = 0.001
I0518 01:42:27.482180 6025 solver.cpp:218] Iteration 26000 (1.51666 iter/s, 65.9345s/100 iters), loss = 3.30102
I0518 01:42:27.482424 6025 solver.cpp:237] Train net output #0: loss = 4.80016 (* 1 = 4.80016 loss)
I0518 01:42:27.482445 6025 sgd_solver.cpp:105] Iteration 26000, lr = 0.001
I0518 01:43:32.901214 6025 solver.cpp:218] Iteration 26100 (1.52867 iter/s, 65.4163s/100 iters), loss = 3.50451
I0518 01:43:32.901458 6025 solver.cpp:237] Train net output #0: loss = 4.80442 (* 1 = 4.80442 loss)
I0518 01:43:32.901489 6025 sgd_solver.cpp:105] Iteration 26100, lr = 0.001
I0518 01:44:38.113611 6025 solver.cpp:218] Iteration 26200 (1.53351 iter/s, 65.2097s/100 iters), loss = 3.25188
I0518 01:44:38.114253 6025 solver.cpp:237] Train net output #0: loss = 4.75166 (* 1 = 4.75166 loss)
I0518 01:44:38.114313 6025 sgd_solver.cpp:105] Iteration 26200, lr = 0.001
I0518 01:45:43.567207 6025 solver.cpp:218] Iteration 26300 (1.52787 iter/s, 65.4505s/100 iters), loss = 3.40547
I0518 01:45:43.567467 6025 solver.cpp:237] Train net output #0: loss = 2.4405 (* 1 = 2.4405 loss)
I0518 01:45:43.567499 6025 sgd_solver.cpp:105] Iteration 26300, lr = 0.001
I0518 01:46:48.597705 6025 solver.cpp:218] Iteration 26400 (1.5378 iter/s, 65.0278s/100 iters), loss = 3.20948
I0518 01:46:48.603248 6025 solver.cpp:237] Train net output #0: loss = 3.42622 (* 1 = 3.42622 loss)
I0518 01:46:48.603271 6025 sgd_solver.cpp:105] Iteration 26400, lr = 0.001
I0518 01:47:53.911473 6025 solver.cpp:218] Iteration 26500 (1.53126 iter/s, 65.3057s/100 iters), loss = 3.18749
I0518 01:47:53.914754 6025 solver.cpp:237] Train net output #0: loss = 2.60129 (* 1 = 2.60129 loss)
I0518 01:47:53.914772 6025 sgd_solver.cpp:105] Iteration 26500, lr = 0.001
I0518 01:48:58.692330 6025 solver.cpp:218] Iteration 26600 (1.5438 iter/s, 64.775s/100 iters), loss = 3.3746
I0518 01:48:58.695586 6025 solver.cpp:237] Train net output #0: loss = 3.67799 (* 1 = 3.67799 loss)
I0518 01:48:58.695637 6025 sgd_solver.cpp:105] Iteration 26600, lr = 0.001
I0518 01:50:02.621285 6025 solver.cpp:218] Iteration 26700 (1.56438 iter/s, 63.9233s/100 iters), loss = 3.18608
I0518 01:50:02.621556 6025 solver.cpp:237] Train net output #0: loss = 2.57932 (* 1 = 2.57932 loss)
I0518 01:50:02.621600 6025 sgd_solver.cpp:105] Iteration 26700, lr = 0.001
I0518 01:51:06.538259 6025 solver.cpp:218] Iteration 26800 (1.5646 iter/s, 63.9143s/100 iters), loss = 3.12756
I0518 01:51:06.538552 6025 solver.cpp:237] Train net output #0: loss = 3.26582 (* 1 = 3.26582 loss)
I0518 01:51:06.538599 6025 sgd_solver.cpp:105] Iteration 26800, lr = 0.001
I0518 01:52:10.771597 6025 solver.cpp:218] Iteration 26900 (1.55689 iter/s, 64.2306s/100 iters), loss = 3.12205
I0518 01:52:10.773396 6025 solver.cpp:237] Train net output #0: loss = 4.73682 (* 1 = 4.73682 loss)
I0518 01:52:10.773427 6025 sgd_solver.cpp:105] Iteration 26900, lr = 0.001
I0518 01:53:14.662941 6025 solver.cpp:218] Iteration 27000 (1.56526 iter/s, 63.8871s/100 iters), loss = 3.16105
I0518 01:53:14.663180 6025 solver.cpp:237] Train net output #0: loss = 3.00823 (* 1 = 3.00823 loss)
I0518 01:53:14.663208 6025 sgd_solver.cpp:105] Iteration 27000, lr = 0.001
I0518 01:54:18.650220 6025 solver.cpp:218] Iteration 27100 (1.56288 iter/s, 63.9846s/100 iters), loss = 3.16095
I0518 01:54:18.650472 6025 solver.cpp:237] Train net output #0: loss = 2.89827 (* 1 = 2.89827 loss)
I0518 01:54:18.650498 6025 sgd_solver.cpp:105] Iteration 27100, lr = 0.001
I0518 01:55:23.247377 6025 solver.cpp:218] Iteration 27200 (1.54812 iter/s, 64.5944s/100 iters), loss = 3.12181
I0518 01:55:23.247562 6025 solver.cpp:237] Train net output #0: loss = 2.35118 (* 1 = 2.35118 loss)
I0518 01:55:23.247582 6025 sgd_solver.cpp:105] Iteration 27200, lr = 0.001
I0518 01:56:28.801092 6025 solver.cpp:218] Iteration 27300 (1.52553 iter/s, 65.551s/100 iters), loss = 3.16395
I0518 01:56:28.801371 6025 solver.cpp:237] Train net output #0: loss = 2.12317 (* 1 = 2.12317 loss)
I0518 01:56:28.801415 6025 sgd_solver.cpp:105] Iteration 27300, lr = 0.001
I0518 01:57:34.270993 6025 solver.cpp:218] Iteration 27400 (1.52748 iter/s, 65.4672s/100 iters), loss = 3.33397
I0518 01:57:34.271265 6025 solver.cpp:237] Train net output #0: loss = 3.05807 (* 1 = 3.05807 loss)
I0518 01:57:34.271315 6025 sgd_solver.cpp:105] Iteration 27400, lr = 0.001
I0518 01:58:39.447856 6025 solver.cpp:218] Iteration 27500 (1.53435 iter/s, 65.1741s/100 iters), loss = 3.27408
I0518 01:58:39.449409 6025 solver.cpp:237] Train net output #0: loss = 2.77536 (* 1 = 2.77536 loss)
I0518 01:58:39.449434 6025 sgd_solver.cpp:105] Iteration 27500, lr = 0.001
I0518 01:59:44.431848 6025 solver.cpp:218] Iteration 27600 (1.53894 iter/s, 64.9799s/100 iters), loss = 3.2868
I0518 01:59:44.432111 6025 solver.cpp:237] Train net output #0: loss = 2.39698 (* 1 = 2.39698 loss)
I0518 01:59:44.432149 6025 sgd_solver.cpp:105] Iteration 27600, lr = 0.001
I0518 02:00:49.554847 6025 solver.cpp:218] Iteration 27700 (1.53562 iter/s, 65.1203s/100 iters), loss = 3.20395
I0518 02:00:49.555778 6025 solver.cpp:237] Train net output #0: loss = 3.08534 (* 1 = 3.08534 loss)
I0518 02:00:49.555794 6025 sgd_solver.cpp:105] Iteration 27700, lr = 0.001
I0518 02:01:54.373867 6025 solver.cpp:218] Iteration 27800 (1.54284 iter/s, 64.8156s/100 iters), loss = 3.21731
I0518 02:01:54.374217 6025 solver.cpp:237] Train net output #0: loss = 2.20622 (* 1 = 2.20622 loss)
I0518 02:01:54.374264 6025 sgd_solver.cpp:105] Iteration 27800, lr = 0.001
I0518 02:02:59.948513 6025 solver.cpp:218] Iteration 27900 (1.52505 iter/s, 65.5718s/100 iters), loss = 3.40442
I0518 02:02:59.948755 6025 solver.cpp:237] Train net output #0: loss = 2.57856 (* 1 = 2.57856 loss)
I0518 02:02:59.948792 6025 sgd_solver.cpp:105] Iteration 27900, lr = 0.001
I0518 02:04:05.086508 6025 solver.cpp:218] Iteration 28000 (1.53527 iter/s, 65.1353s/100 iters), loss = 3.38267
I0518 02:04:05.086756 6025 solver.cpp:237] Train net output #0: loss = 3.53573 (* 1 = 3.53573 loss)
I0518 02:04:05.086793 6025 sgd_solver.cpp:105] Iteration 28000, lr = 0.001
I0518 02:05:10.360281 6025 solver.cpp:218] Iteration 28100 (1.53207 iter/s, 65.271s/100 iters), loss = 3.27116
I0518 02:05:10.360517 6025 solver.cpp:237] Train net output #0: loss = 4.66329 (* 1 = 4.66329 loss)
I0518 02:05:10.360536 6025 sgd_solver.cpp:105] Iteration 28100, lr = 0.001
I0518 02:06:15.733062 6025 solver.cpp:218] Iteration 28200 (1.52975 iter/s, 65.37s/100 iters), loss = 3.12107
I0518 02:06:15.733718 6025 solver.cpp:237] Train net output #0: loss = 2.54282 (* 1 = 2.54282 loss)
I0518 02:06:15.733754 6025 sgd_solver.cpp:105] Iteration 28200, lr = 0.001
I0518 02:07:20.974529 6025 solver.cpp:218] Iteration 28300 (1.53284 iter/s, 65.2383s/100 iters), loss = 3.25634
I0518 02:07:20.974787 6025 solver.cpp:237] Train net output #0: loss = 4.28192 (* 1 = 4.28192 loss)
I0518 02:07:20.974833 6025 sgd_solver.cpp:105] Iteration 28300, lr = 0.001
I0518 02:08:25.767737 6025 solver.cpp:218] Iteration 28400 (1.54344 iter/s, 64.7905s/100 iters), loss = 3.15536
I0518 02:08:25.767972 6025 solver.cpp:237] Train net output #0: loss = 2.01816 (* 1 = 2.01816 loss)
I0518 02:08:25.768004 6025 sgd_solver.cpp:105] Iteration 28400, lr = 0.001
I0518 02:09:30.757331 6025 solver.cpp:218] Iteration 28500 (1.53877 iter/s, 64.9869s/100 iters), loss = 3.00324
I0518 02:09:30.757597 6025 solver.cpp:237] Train net output #0: loss = 2.4456 (* 1 = 2.4456 loss)
I0518 02:09:30.757640 6025 sgd_solver.cpp:105] Iteration 28500, lr = 0.001
I0518 02:10:35.839905 6025 solver.cpp:218] Iteration 28600 (1.53657 iter/s, 65.0798s/100 iters), loss = 3.04117
I0518 02:10:35.840142 6025 solver.cpp:237] Train net output #0: loss = 2.07941 (* 1 = 2.07941 loss)
I0518 02:10:35.840164 6025 sgd_solver.cpp:105] Iteration 28600, lr = 0.001
I0518 02:11:41.640033 6025 solver.cpp:218] Iteration 28700 (1.51982 iter/s, 65.7974s/100 iters), loss = 3.11507
I0518 02:11:41.641691 6025 solver.cpp:237] Train net output #0: loss = 2.81039 (* 1 = 2.81039 loss)
I0518 02:11:41.641715 6025 sgd_solver.cpp:105] Iteration 28700, lr = 0.001
I0518 02:12:47.231950 6025 solver.cpp:218] Iteration 28800 (1.52467 iter/s, 65.5878s/100 iters), loss = 3.29917
I0518 02:12:47.234202 6025 solver.cpp:237] Train net output #0: loss = 2.56029 (* 1 = 2.56029 loss)
I0518 02:12:47.234223 6025 sgd_solver.cpp:105] Iteration 28800, lr = 0.001
I0518 02:13:53.141908 6025 solver.cpp:218] Iteration 28900 (1.51733 iter/s, 65.9052s/100 iters), loss = 3.31047
I0518 02:13:53.143597 6025 solver.cpp:237] Train net output #0: loss = 4.7313 (* 1 = 4.7313 loss)
I0518 02:13:53.143642 6025 sgd_solver.cpp:105] Iteration 28900, lr = 0.001
I0518 02:14:59.250988 6025 solver.cpp:218] Iteration 29000 (1.51275 iter/s, 66.1049s/100 iters), loss = 3.33182
I0518 02:14:59.251233 6025 solver.cpp:237] Train net output #0: loss = 4.84828 (* 1 = 4.84828 loss)
I0518 02:14:59.251250 6025 sgd_solver.cpp:105] Iteration 29000, lr = 0.001
I0518 02:16:05.134785 6025 solver.cpp:218] Iteration 29100 (1.51789 iter/s, 65.8811s/100 iters), loss = 3.25454
I0518 02:16:05.135042 6025 solver.cpp:237] Train net output #0: loss = 2.45243 (* 1 = 2.45243 loss)
I0518 02:16:05.135076 6025 sgd_solver.cpp:105] Iteration 29100, lr = 0.001
I0518 02:17:11.517846 6025 solver.cpp:218] Iteration 29200 (1.50647 iter/s, 66.3803s/100 iters), loss = 3.3962
I0518 02:17:11.518507 6025 solver.cpp:237] Train net output #0: loss = 4.77255 (* 1 = 4.77255 loss)
I0518 02:17:11.518528 6025 sgd_solver.cpp:105] Iteration 29200, lr = 0.001
I0518 02:18:17.678962 6025 solver.cpp:218] Iteration 29300 (1.51153 iter/s, 66.1579s/100 iters), loss = 3.39988
I0518 02:18:17.680841 6025 solver.cpp:237] Train net output #0: loss = 4.81894 (* 1 = 4.81894 loss)
I0518 02:18:17.680882 6025 sgd_solver.cpp:105] Iteration 29300, lr = 0.001
I0518 02:19:23.125936 6025 solver.cpp:218] Iteration 29400 (1.52806 iter/s, 65.4426s/100 iters), loss = 3.37365
I0518 02:19:23.126194 6025 solver.cpp:237] Train net output #0: loss = 2.7102 (* 1 = 2.7102 loss)
I0518 02:19:23.126225 6025 sgd_solver.cpp:105] Iteration 29400, lr = 0.001
I0518 02:20:28.145377 6025 solver.cpp:218] Iteration 29500 (1.53807 iter/s, 65.0167s/100 iters), loss = 3.12639
I0518 02:20:28.151281 6025 solver.cpp:237] Train net output #0: loss = 4.7017 (* 1 = 4.7017 loss)
I0518 02:20:28.151306 6025 sgd_solver.cpp:105] Iteration 29500, lr = 0.001
I0518 02:21:33.778079 6025 solver.cpp:218] Iteration 29600 (1.52383 iter/s, 65.6243s/100 iters), loss = 3.28384
I0518 02:21:33.779453 6025 solver.cpp:237] Train net output #0: loss = 2.56474 (* 1 = 2.56474 loss)
I0518 02:21:33.779474 6025 sgd_solver.cpp:105] Iteration 29600, lr = 0.001
I0518 02:22:39.149689 6025 solver.cpp:218] Iteration 29700 (1.52981 iter/s, 65.3677s/100 iters), loss = 3.23122
I0518 02:22:39.151026 6025 solver.cpp:237] Train net output #0: loss = 3.06812 (* 1 = 3.06812 loss)
I0518 02:22:39.151059 6025 sgd_solver.cpp:105] Iteration 29700, lr = 0.001
I0518 02:23:44.680431 6025 solver.cpp:218] Iteration 29800 (1.52609 iter/s, 65.5269s/100 iters), loss = 3.17298
I0518 02:23:44.682219 6025 solver.cpp:237] Train net output #0: loss = 3.02047 (* 1 = 3.02047 loss)
I0518 02:23:44.682240 6025 sgd_solver.cpp:105] Iteration 29800, lr = 0.001
I0518 02:24:50.141414 6025 solver.cpp:218] Iteration 29900 (1.52773 iter/s, 65.4567s/100 iters), loss = 3.2263
I0518 02:24:50.142263 6025 solver.cpp:237] Train net output #0: loss = 2.34542 (* 1 = 2.34542 loss)
I0518 02:24:50.142308 6025 sgd_solver.cpp:105] Iteration 29900, lr = 0.001
I0518 02:25:55.141271 6025 solver.cpp:218] Iteration 30000 (1.53855 iter/s, 64.9965s/100 iters), loss = 3.1916
I0518 02:25:55.141571 6025 solver.cpp:237] Train net output #0: loss = 2.21378 (* 1 = 2.21378 loss)
I0518 02:25:55.141611 6025 sgd_solver.cpp:105] Iteration 30000, lr = 0.001
I0518 02:27:00.446363 6025 solver.cpp:218] Iteration 30100 (1.53134 iter/s, 65.3023s/100 iters), loss = 3.16767
I0518 02:27:00.446584 6025 solver.cpp:237] Train net output #0: loss = 3.28257 (* 1 = 3.28257 loss)
I0518 02:27:00.446604 6025 sgd_solver.cpp:105] Iteration 30100, lr = 0.001
I0518 02:28:05.861163 6025 solver.cpp:218] Iteration 30200 (1.52877 iter/s, 65.4121s/100 iters), loss = 3.24947
I0518 02:28:05.861479 6025 solver.cpp:237] Train net output #0: loss = 2.64214 (* 1 = 2.64214 loss)
I0518 02:28:05.861521 6025 sgd_solver.cpp:105] Iteration 30200, lr = 0.001
I0518 02:29:11.532876 6025 solver.cpp:218] Iteration 30300 (1.52279 iter/s, 65.6689s/100 iters), loss = 3.37344
I0518 02:29:11.533112 6025 solver.cpp:237] Train net output #0: loss = 2.79929 (* 1 = 2.79929 loss)
I0518 02:29:11.533143 6025 sgd_solver.cpp:105] Iteration 30300, lr = 0.001
I0518 02:30:17.574137 6025 solver.cpp:218] Iteration 30400 (1.51427 iter/s, 66.0385s/100 iters), loss = 3.31214
I0518 02:30:17.574419 6025 solver.cpp:237] Train net output #0: loss = 3.05276 (* 1 = 3.05276 loss)
I0518 02:30:17.574460 6025 sgd_solver.cpp:105] Iteration 30400, lr = 0.001
I0518 02:31:23.739621 6025 solver.cpp:218] Iteration 30500 (1.51143 iter/s, 66.1627s/100 iters), loss = 3.00762
I0518 02:31:23.739867 6025 solver.cpp:237] Train net output #0: loss = 2.49647 (* 1 = 2.49647 loss)
I0518 02:31:23.739907 6025 sgd_solver.cpp:105] Iteration 30500, lr = 0.001
I0518 02:32:30.194720 6025 solver.cpp:218] Iteration 30600 (1.50484 iter/s, 66.4523s/100 iters), loss = 3.1652
I0518 02:32:30.199524 6025 solver.cpp:237] Train net output #0: loss = 2.98162 (* 1 = 2.98162 loss)
I0518 02:32:30.199545 6025 sgd_solver.cpp:105] Iteration 30600, lr = 0.001
I0518 02:33:36.676494 6025 solver.cpp:218] Iteration 30700 (1.50434 iter/s, 66.4745s/100 iters), loss = 3.26601
I0518 02:33:36.682396 6025 solver.cpp:237] Train net output #0: loss = 2.3656 (* 1 = 2.3656 loss)
I0518 02:33:36.682436 6025 sgd_solver.cpp:105] Iteration 30700, lr = 0.001
I0518 02:34:43.215435 6025 solver.cpp:218] Iteration 30800 (1.50307 iter/s, 66.5305s/100 iters), loss = 3.15847
I0518 02:34:43.215795 6025 solver.cpp:237] Train net output #0: loss = 2.09681 (* 1 = 2.09681 loss)
I0518 02:34:43.215813 6025 sgd_solver.cpp:105] Iteration 30800, lr = 0.001
I0518 02:35:49.033143 6025 solver.cpp:218] Iteration 30900 (1.51941 iter/s, 65.8148s/100 iters), loss = 3.18168
I0518 02:35:49.033491 6025 solver.cpp:237] Train net output #0: loss = 3.40342 (* 1 = 3.40342 loss)
I0518 02:35:49.033514 6025 sgd_solver.cpp:105] Iteration 30900, lr = 0.001
I0518 02:36:54.508775 6025 solver.cpp:218] Iteration 31000 (1.52735 iter/s, 65.4728s/100 iters), loss = 3.23528
I0518 02:36:54.509608 6025 solver.cpp:237] Train net output #0: loss = 4.73054 (* 1 = 4.73054 loss)
I0518 02:36:54.509634 6025 sgd_solver.cpp:105] Iteration 31000, lr = 0.001
I0518 02:37:59.290951 6025 solver.cpp:218] Iteration 31100 (1.54371 iter/s, 64.7788s/100 iters), loss = 3.12182
I0518 02:37:59.291208 6025 solver.cpp:237] Train net output #0: loss = 2.40345 (* 1 = 2.40345 loss)
I0518 02:37:59.291239 6025 sgd_solver.cpp:105] Iteration 31100, lr = 0.001
I0518 02:39:04.535531 6025 solver.cpp:218] Iteration 31200 (1.53276 iter/s, 65.2418s/100 iters), loss = 3.30696
I0518 02:39:04.535835 6025 solver.cpp:237] Train net output #0: loss = 2.2275 (* 1 = 2.2275 loss)
I0518 02:39:04.535871 6025 sgd_solver.cpp:105] Iteration 31200, lr = 0.001
I0518 02:40:10.184589 6025 solver.cpp:218] Iteration 31300 (1.52332 iter/s, 65.6462s/100 iters), loss = 3.19447
I0518 02:40:10.184873 6025 solver.cpp:237] Train net output #0: loss = 2.88095 (* 1 = 2.88095 loss)
I0518 02:40:10.184909 6025 sgd_solver.cpp:105] Iteration 31300, lr = 0.001
I0518 02:41:15.832453 6025 solver.cpp:218] Iteration 31400 (1.52334 iter/s, 65.6451s/100 iters), loss = 3.38579
I0518 02:41:15.834719 6025 solver.cpp:237] Train net output #0: loss = 2.40057 (* 1 = 2.40057 loss)
I0518 02:41:15.834739 6025 sgd_solver.cpp:105] Iteration 31400, lr = 0.001
I0518 02:42:21.248459 6025 solver.cpp:218] Iteration 31500 (1.52879 iter/s, 65.4112s/100 iters), loss = 3.16298
I0518 02:42:21.248656 6025 solver.cpp:237] Train net output #0: loss = 4.72449 (* 1 = 4.72449 loss)
I0518 02:42:21.248673 6025 sgd_solver.cpp:105] Iteration 31500, lr = 0.001
I0518 02:43:26.748354 6025 solver.cpp:218] Iteration 31600 (1.52678 iter/s, 65.4971s/100 iters), loss = 3.26337
I0518 02:43:26.750788 6025 solver.cpp:237] Train net output #0: loss = 4.79416 (* 1 = 4.79416 loss)
I0518 02:43:26.750826 6025 sgd_solver.cpp:105] Iteration 31600, lr = 0.001
I0518 02:44:31.992142 6025 solver.cpp:218] Iteration 31700 (1.53283 iter/s, 65.2389s/100 iters), loss = 3.25124
I0518 02:44:31.992373 6025 solver.cpp:237] Train net output #0: loss = 3.09924 (* 1 = 3.09924 loss)
I0518 02:44:31.992389 6025 sgd_solver.cpp:105] Iteration 31700, lr = 0.001
I0518 02:45:37.481815 6025 solver.cpp:218] Iteration 31800 (1.52702 iter/s, 65.4869s/100 iters), loss = 3.1635
I0518 02:45:37.482787 6025 solver.cpp:237] Train net output #0: loss = 4.73129 (* 1 = 4.73129 loss)
I0518 02:45:37.482822 6025 sgd_solver.cpp:105] Iteration 31800, lr = 0.001
I0518 02:46:42.782490 6025 solver.cpp:218] Iteration 31900 (1.53146 iter/s, 65.2972s/100 iters), loss = 3.17234
I0518 02:46:42.782799 6025 solver.cpp:237] Train net output #0: loss = 4.01243 (* 1 = 4.01243 loss)
I0518 02:46:42.782838 6025 sgd_solver.cpp:105] Iteration 31900, lr = 0.001
I0518 02:47:48.597282 6025 solver.cpp:218] Iteration 32000 (1.51948 iter/s, 65.812s/100 iters), loss = 3.2396
I0518 02:47:48.598439 6025 solver.cpp:237] Train net output #0: loss = 2.39203 (* 1 = 2.39203 loss)
I0518 02:47:48.598460 6025 sgd_solver.cpp:105] Iteration 32000, lr = 0.001
I0518 02:48:06.329357 6025 solver.cpp:447] Snapshotting to binary proto file snapshot/ft_all_iter_32028.caffemodel
I0518 02:48:06.920795 6025 sgd_solver.cpp:273] Snapshotting solver state to binary proto file snapshot/ft_all_iter_32028.solverstate
I0518 02:48:07.046247 6025 solver.cpp:330] Iteration 32028, Testing net (#0)
I0518 02:50:16.420089 6073 data_layer.cpp:73] Restarting data prefetching from start.
I0518 02:50:16.672447 6025 solver.cpp:397] Test net output #0: accuracy = 0.326728
I0518 02:50:16.672521 6025 solver.cpp:397] Test net output #1: loss = 3.03501 (* 1 = 3.03501 loss)
I0518 02:51:04.362376 6025 solver.cpp:218] Iteration 32100 (0.510839 iter/s, 195.757s/100 iters), loss = 3.26754
I0518 02:51:04.362634 6025 solver.cpp:237] Train net output #0: loss = 2.75018 (* 1 = 2.75018 loss)
I0518 02:51:04.362668 6025 sgd_solver.cpp:105] Iteration 32100, lr = 0.001
I0518 02:52:09.812216 6025 solver.cpp:218] Iteration 32200 (1.52795 iter/s, 65.4471s/100 iters), loss = 3.18642
I0518 02:52:09.812475 6025 solver.cpp:237] Train net output #0: loss = 4.69073 (* 1 = 4.69073 loss)
I0518 02:52:09.812515 6025 sgd_solver.cpp:105] Iteration 32200, lr = 0.001
I0518 02:53:15.652360 6025 solver.cpp:218] Iteration 32300 (1.51889 iter/s, 65.8374s/100 iters), loss = 3.23746
I0518 02:53:15.652622 6025 solver.cpp:237] Train net output #0: loss = 1.65111 (* 1 = 1.65111 loss)
I0518 02:53:15.652647 6025 sgd_solver.cpp:105] Iteration 32300, lr = 0.001
I0518 02:54:20.855090 6025 solver.cpp:218] Iteration 32400 (1.53374 iter/s, 65.2s/100 iters), loss = 3.18528
I0518 02:54:20.856307 6025 solver.cpp:237] Train net output #0: loss = 2.5788 (* 1 = 2.5788 loss)
I0518 02:54:20.856323 6025 sgd_solver.cpp:105] Iteration 32400, lr = 0.001
I0518 02:55:25.949605 6025 solver.cpp:218] Iteration 32500 (1.53632 iter/s, 65.0908s/100 iters), loss = 3.1409
I0518 02:55:25.950561 6025 solver.cpp:237] Train net output #0: loss = 4.75557 (* 1 = 4.75557 loss)
I0518 02:55:25.950593 6025 sgd_solver.cpp:105] Iteration 32500, lr = 0.001
I0518 02:56:30.987597 6025 solver.cpp:218] Iteration 32600 (1.53764 iter/s, 65.0346s/100 iters), loss = 3.11382
I0518 02:56:30.988437 6025 solver.cpp:237] Train net output #0: loss = 2.37815 (* 1 = 2.37815 loss)
I0518 02:56:30.988468 6025 sgd_solver.cpp:105] Iteration 32600, lr = 0.001
I0518 02:57:35.849172 6025 solver.cpp:218] Iteration 32700 (1.54182 iter/s, 64.8583s/100 iters), loss = 3.15533
I0518 02:57:35.851946 6025 solver.cpp:237] Train net output #0: loss = 2.91683 (* 1 = 2.91683 loss)
I0518 02:57:35.851989 6025 sgd_solver.cpp:105] Iteration 32700, lr = 0.001
I0518 02:58:41.067719 6025 solver.cpp:218] Iteration 32800 (1.53343 iter/s, 65.2133s/100 iters), loss = 3.24295
I0518 02:58:41.068001 6025 solver.cpp:237] Train net output #0: loss = 3.03192 (* 1 = 3.03192 loss)
I0518 02:58:41.068053 6025 sgd_solver.cpp:105] Iteration 32800, lr = 0.001
I0518 02:59:46.321434 6025 solver.cpp:218] Iteration 32900 (1.53255 iter/s, 65.2509s/100 iters), loss = 3.33763
I0518 02:59:46.321687 6025 solver.cpp:237] Train net output #0: loss = 4.6528 (* 1 = 4.6528 loss)
I0518 02:59:46.321720 6025 sgd_solver.cpp:105] Iteration 32900, lr = 0.001
I0518 03:00:52.100822 6025 solver.cpp:218] Iteration 33000 (1.5203 iter/s, 65.7766s/100 iters), loss = 3.26707
I0518 03:00:52.102200 6025 solver.cpp:237] Train net output #0: loss = 4.8004 (* 1 = 4.8004 loss)
I0518 03:00:52.102221 6025 sgd_solver.cpp:105] Iteration 33000, lr = 0.001
I0518 03:01:57.706310 6025 solver.cpp:218] Iteration 33100 (1.52435 iter/s, 65.6016s/100 iters), loss = 3.31648
I0518 03:01:57.706959 6025 solver.cpp:237] Train net output #0: loss = 3.14938 (* 1 = 3.14938 loss)
I0518 03:01:57.706986 6025 sgd_solver.cpp:105] Iteration 33100, lr = 0.001
I0518 03:03:02.691195 6025 solver.cpp:218] Iteration 33200 (1.53889 iter/s, 64.9818s/100 iters), loss = 3.26327
I0518 03:03:02.691494 6025 solver.cpp:237] Train net output #0: loss = 2.67161 (* 1 = 2.67161 loss)
I0518 03:03:02.691535 6025 sgd_solver.cpp:105] Iteration 33200, lr = 0.001
I0518 03:04:07.855413 6025 solver.cpp:218] Iteration 33300 (1.53465 iter/s, 65.1614s/100 iters), loss = 3.29397
I0518 03:04:07.856637 6025 solver.cpp:237] Train net output #0: loss = 2.20571 (* 1 = 2.20571 loss)
I0518 03:04:07.856653 6025 sgd_solver.cpp:105] Iteration 33300, lr = 0.001
I0518 03:05:13.583191 6025 solver.cpp:218] Iteration 33400 (1.52151 iter/s, 65.724s/100 iters), loss = 3.31302
I0518 03:05:13.587425 6025 solver.cpp:237] Train net output #0: loss = 2.67297 (* 1 = 2.67297 loss)
I0518 03:05:13.587460 6025 sgd_solver.cpp:105] Iteration 33400, lr = 0.001
I0518 03:06:19.428004 6025 solver.cpp:218] Iteration 33500 (1.51888 iter/s, 65.838s/100 iters), loss = 3.29915
I0518 03:06:19.428346 6025 solver.cpp:237] Train net output #0: loss = 4.84037 (* 1 = 4.84037 loss)
I0518 03:06:19.428385 6025 sgd_solver.cpp:105] Iteration 33500, lr = 0.001
I0518 03:07:24.027621 6025 solver.cpp:218] Iteration 33600 (1.54806 iter/s, 64.5968s/100 iters), loss = 3.11719
I0518 03:07:24.027935 6025 solver.cpp:237] Train net output #0: loss = 2.39158 (* 1 = 2.39158 loss)
I0518 03:07:24.027984 6025 sgd_solver.cpp:105] Iteration 33600, lr = 0.001
I0518 03:08:28.321741 6025 solver.cpp:218] Iteration 33700 (1.55542 iter/s, 64.2914s/100 iters), loss = 3.21263
I0518 03:08:28.322779 6025 solver.cpp:237] Train net output #0: loss = 2.94955 (* 1 = 2.94955 loss)
I0518 03:08:28.322826 6025 sgd_solver.cpp:105] Iteration 33700, lr = 0.001
I0518 03:09:32.741669 6025 solver.cpp:218] Iteration 33800 (1.5524 iter/s, 64.4164s/100 iters), loss = 3.29423
I0518 03:09:32.744408 6025 solver.cpp:237] Train net output #0: loss = 2.30158 (* 1 = 2.30158 loss)
I0518 03:09:32.744431 6025 sgd_solver.cpp:105] Iteration 33800, lr = 0.001
I0518 03:10:36.913899 6025 solver.cpp:218] Iteration 33900 (1.55843 iter/s, 64.1671s/100 iters), loss = 3.26157
I0518 03:10:36.914165 6025 solver.cpp:237] Train net output #0: loss = 2.74588 (* 1 = 2.74588 loss)
I0518 03:10:36.914209 6025 sgd_solver.cpp:105] Iteration 33900, lr = 0.001
I0518 03:11:41.035933 6025 solver.cpp:218] Iteration 34000 (1.55959 iter/s, 64.1193s/100 iters), loss = 3.20567
I0518 03:11:41.036147 6025 solver.cpp:237] Train net output #0: loss = 2.75983 (* 1 = 2.75983 loss)
I0518 03:11:41.036166 6025 sgd_solver.cpp:105] Iteration 34000, lr = 0.001
I0518 03:12:44.667402 6025 solver.cpp:218] Iteration 34100 (1.57161 iter/s, 63.6288s/100 iters), loss = 2.94132
I0518 03:12:44.667681 6025 solver.cpp:237] Train net output #0: loss = 2.61645 (* 1 = 2.61645 loss)
I0518 03:12:44.667718 6025 sgd_solver.cpp:105] Iteration 34100, lr = 0.001
I0518 03:13:49.144642 6025 solver.cpp:218] Iteration 34200 (1.551 iter/s, 64.4745s/100 iters), loss = 3.23956
I0518 03:13:49.144872 6025 solver.cpp:237] Train net output #0: loss = 3.06078 (* 1 = 3.06078 loss)
I0518 03:13:49.144908 6025 sgd_solver.cpp:105] Iteration 34200, lr = 0.001
I0518 03:14:53.709944 6025 solver.cpp:218] Iteration 34300 (1.54888 iter/s, 64.5626s/100 iters), loss = 3.34641
I0518 03:14:53.710168 6025 solver.cpp:237] Train net output #0: loss = 4.69632 (* 1 = 4.69632 loss)
I0518 03:14:53.710201 6025 sgd_solver.cpp:105] Iteration 34300, lr = 0.001
I0518 03:15:58.518260 6025 solver.cpp:218] Iteration 34400 (1.54308 iter/s, 64.8056s/100 iters), loss = 3.4043
I0518 03:15:58.518532 6025 solver.cpp:237] Train net output #0: loss = 2.59654 (* 1 = 2.59654 loss)
I0518 03:15:58.518579 6025 sgd_solver.cpp:105] Iteration 34400, lr = 0.001
I0518 03:17:03.136843 6025 solver.cpp:218] Iteration 34500 (1.54761 iter/s, 64.6158s/100 iters), loss = 3.28669
I0518 03:17:03.137099 6025 solver.cpp:237] Train net output #0: loss = 3.12311 (* 1 = 3.12311 loss)
I0518 03:17:03.137130 6025 sgd_solver.cpp:105] Iteration 34500, lr = 0.001
I0518 03:18:08.076185 6025 solver.cpp:218] Iteration 34600 (1.53996 iter/s, 64.9366s/100 iters), loss = 3.28893
I0518 03:18:08.076493 6025 solver.cpp:237] Train net output #0: loss = 3.07763 (* 1 = 3.07763 loss)
I0518 03:18:08.076539 6025 sgd_solver.cpp:105] Iteration 34600, lr = 0.001
I0518 03:19:13.059892 6025 solver.cpp:218] Iteration 34700 (1.53891 iter/s, 64.9809s/100 iters), loss = 3.0493
I0518 03:19:13.060201 6025 solver.cpp:237] Train net output #0: loss = 2.33917 (* 1 = 2.33917 loss)
I0518 03:19:13.060254 6025 sgd_solver.cpp:105] Iteration 34700, lr = 0.001
I0518 03:20:18.006531 6025 solver.cpp:218] Iteration 34800 (1.53979 iter/s, 64.9439s/100 iters), loss = 3.23474
I0518 03:20:18.006829 6025 solver.cpp:237] Train net output #0: loss = 2.32388 (* 1 = 2.32388 loss)
I0518 03:20:18.006875 6025 sgd_solver.cpp:105] Iteration 34800, lr = 0.001
I0518 03:21:22.865602 6025 solver.cpp:218] Iteration 34900 (1.54187 iter/s, 64.8563s/100 iters), loss = 3.20783
I0518 03:21:22.867198 6025 solver.cpp:237] Train net output #0: loss = 4.56894 (* 1 = 4.56894 loss)
I0518 03:21:22.867223 6025 sgd_solver.cpp:105] Iteration 34900, lr = 0.001
I0518 03:22:28.266687 6025 solver.cpp:218] Iteration 35000 (1.52912 iter/s, 65.397s/100 iters), loss = 3.15954
I0518 03:22:28.266927 6025 solver.cpp:237] Train net output #0: loss = 2.42335 (* 1 = 2.42335 loss)
I0518 03:22:28.266958 6025 sgd_solver.cpp:105] Iteration 35000, lr = 0.001
I0518 03:23:33.900957 6025 solver.cpp:218] Iteration 35100 (1.52366 iter/s, 65.6315s/100 iters), loss = 3.1637
I0518 03:23:33.901283 6025 solver.cpp:237] Train net output #0: loss = 2.6436 (* 1 = 2.6436 loss)
I0518 03:23:33.901325 6025 sgd_solver.cpp:105] Iteration 35100, lr = 0.001
I0518 03:24:39.322217 6025 solver.cpp:218] Iteration 35200 (1.52862 iter/s, 65.4185s/100 iters), loss = 3.24177
I0518 03:24:39.322468 6025 solver.cpp:237] Train net output #0: loss = 4.82919 (* 1 = 4.82919 loss)
I0518 03:24:39.322508 6025 sgd_solver.cpp:105] Iteration 35200, lr = 0.001
I0518 03:25:45.244798 6025 solver.cpp:218] Iteration 35300 (1.51699 iter/s, 65.9198s/100 iters), loss = 3.4326
I0518 03:25:45.247900 6025 solver.cpp:237] Train net output #0: loss = 4.42272 (* 1 = 4.42272 loss)
I0518 03:25:45.247920 6025 sgd_solver.cpp:105] Iteration 35300, lr = 0.001
I0518 03:26:51.297231 6025 solver.cpp:218] Iteration 35400 (1.51408 iter/s, 66.0468s/100 iters), loss = 3.29526
I0518 03:26:51.298316 6025 solver.cpp:237] Train net output #0: loss = 2.77846 (* 1 = 2.77846 loss)
I0518 03:26:51.298365 6025 sgd_solver.cpp:105] Iteration 35400, lr = 0.001
I0518 03:27:57.531219 6025 solver.cpp:218] Iteration 35500 (1.50988 iter/s, 66.2304s/100 iters), loss = 3.21031
I0518 03:27:57.531496 6025 solver.cpp:237] Train net output #0: loss = 2.6223 (* 1 = 2.6223 loss)
I0518 03:27:57.531523 6025 sgd_solver.cpp:105] Iteration 35500, lr = 0.001
I0518 03:29:03.194010 6025 solver.cpp:218] Iteration 35600 (1.523 iter/s, 65.66s/100 iters), loss = 3.12723
I0518 03:29:03.195013 6025 solver.cpp:237] Train net output #0: loss = 4.75477 (* 1 = 4.75477 loss)
I0518 03:29:03.195063 6025 sgd_solver.cpp:105] Iteration 35600, lr = 0.001
I0518 03:30:08.583853 6025 solver.cpp:218] Iteration 35700 (1.52937 iter/s, 65.3863s/100 iters), loss = 3.23476
I0518 03:30:08.585459 6025 solver.cpp:237] Train net output #0: loss = 2.24113 (* 1 = 2.24113 loss)
I0518 03:30:08.585499 6025 sgd_solver.cpp:105] Iteration 35700, lr = 0.001
I0518 03:31:13.903257 6025 solver.cpp:218] Iteration 35800 (1.53103 iter/s, 65.3153s/100 iters), loss = 3.17186
I0518 03:31:13.903574 6025 solver.cpp:237] Train net output #0: loss = 1.9963 (* 1 = 1.9963 loss)
I0518 03:31:13.903625 6025 sgd_solver.cpp:105] Iteration 35800, lr = 0.001
I0518 03:32:18.860435 6025 solver.cpp:218] Iteration 35900 (1.53954 iter/s, 64.9544s/100 iters), loss = 3.21454
I0518 03:32:18.860757 6025 solver.cpp:237] Train net output #0: loss = 2.05628 (* 1 = 2.05628 loss)
I0518 03:32:18.860798 6025 sgd_solver.cpp:105] Iteration 35900, lr = 0.001
I0518 03:33:23.946516 6025 solver.cpp:218] Iteration 36000 (1.53649 iter/s, 65.0833s/100 iters), loss = 3.12966
I0518 03:33:23.946851 6025 solver.cpp:237] Train net output #0: loss = 2.82909 (* 1 = 2.82909 loss)
I0518 03:33:23.946890 6025 sgd_solver.cpp:105] Iteration 36000, lr = 0.001
I0518 03:34:29.183825 6025 solver.cpp:218] Iteration 36100 (1.53293 iter/s, 65.2345s/100 iters), loss = 3.17457
I0518 03:34:29.184099 6025 solver.cpp:237] Train net output #0: loss = 4.71741 (* 1 = 4.71741 loss)
I0518 03:34:29.184150 6025 sgd_solver.cpp:105] Iteration 36100, lr = 0.001
I0518 03:35:34.607764 6025 solver.cpp:218] Iteration 36200 (1.52856 iter/s, 65.4211s/100 iters), loss = 3.17681
I0518 03:35:34.610319 6025 solver.cpp:237] Train net output #0: loss = 2.66895 (* 1 = 2.66895 loss)
I0518 03:35:34.610342 6025 sgd_solver.cpp:105] Iteration 36200, lr = 0.001
I0518 03:36:39.826282 6025 solver.cpp:218] Iteration 36300 (1.53343 iter/s, 65.2134s/100 iters), loss = 3.25671
I0518 03:36:39.826889 6025 solver.cpp:237] Train net output #0: loss = 2.93993 (* 1 = 2.93993 loss)
I0518 03:36:39.826931 6025 sgd_solver.cpp:105] Iteration 36300, lr = 0.001
I0518 03:37:45.068596 6025 solver.cpp:218] Iteration 36400 (1.53282 iter/s, 65.2392s/100 iters), loss = 3.13286
I0518 03:37:45.069541 6025 solver.cpp:237] Train net output #0: loss = 2.45384 (* 1 = 2.45384 loss)
I0518 03:37:45.069563 6025 sgd_solver.cpp:105] Iteration 36400, lr = 0.001
I0518 03:38:50.321117 6025 solver.cpp:218] Iteration 36500 (1.53259 iter/s, 65.2491s/100 iters), loss = 3.13213
I0518 03:38:50.321400 6025 solver.cpp:237] Train net output #0: loss = 2.75573 (* 1 = 2.75573 loss)
I0518 03:38:50.321426 6025 sgd_solver.cpp:105] Iteration 36500, lr = 0.001
I0518 03:39:55.607393 6025 solver.cpp:218] Iteration 36600 (1.53178 iter/s, 65.2835s/100 iters), loss = 3.09121
I0518 03:39:55.608819 6025 solver.cpp:237] Train net output #0: loss = 2.82431 (* 1 = 2.82431 loss)
I0518 03:39:55.608856 6025 sgd_solver.cpp:105] Iteration 36600, lr = 0.001
I0518 03:41:00.987922 6025 solver.cpp:218] Iteration 36700 (1.5296 iter/s, 65.3766s/100 iters), loss = 3.41153
I0518 03:41:00.988133 6025 solver.cpp:237] Train net output #0: loss = 2.46685 (* 1 = 2.46685 loss)
I0518 03:41:00.988152 6025 sgd_solver.cpp:105] Iteration 36700, lr = 0.001
I0518 03:42:06.682127 6025 solver.cpp:218] Iteration 36800 (1.52227 iter/s, 65.6915s/100 iters), loss = 3.41307
I0518 03:42:06.682407 6025 solver.cpp:237] Train net output #0: loss = 2.64087 (* 1 = 2.64087 loss)
I0518 03:42:06.682451 6025 sgd_solver.cpp:105] Iteration 36800, lr = 0.001
I0518 03:43:12.900282 6025 solver.cpp:218] Iteration 36900 (1.51022 iter/s, 66.2153s/100 iters), loss = 3.19655
I0518 03:43:12.900657 6025 solver.cpp:237] Train net output #0: loss = 2.434 (* 1 = 2.434 loss)
I0518 03:43:12.900697 6025 sgd_solver.cpp:105] Iteration 36900, lr = 0.001
I0518 03:44:18.656823 6025 solver.cpp:218] Iteration 37000 (1.52083 iter/s, 65.7536s/100 iters), loss = 3.13128
I0518 03:44:18.657120 6025 solver.cpp:237] Train net output #0: loss = 3.11932 (* 1 = 3.11932 loss)
I0518 03:44:18.657147 6025 sgd_solver.cpp:105] Iteration 37000, lr = 0.001
I0518 03:45:24.427040 6025 solver.cpp:218] Iteration 37100 (1.52051 iter/s, 65.7674s/100 iters), loss = 3.25904
I0518 03:45:24.427868 6025 solver.cpp:237] Train net output #0: loss = 3.01122 (* 1 = 3.01122 loss)
I0518 03:45:24.427893 6025 sgd_solver.cpp:105] Iteration 37100, lr = 0.001
I0518 03:46:30.307674 6025 solver.cpp:218] Iteration 37200 (1.51797 iter/s, 65.8773s/100 iters), loss = 3.24471
I0518 03:46:30.307924 6025 solver.cpp:237] Train net output #0: loss = 2.97389 (* 1 = 2.97389 loss)
I0518 03:46:30.307938 6025 sgd_solver.cpp:105] Iteration 37200, lr = 0.001
I0518 03:47:35.550118 6025 solver.cpp:218] Iteration 37300 (1.53281 iter/s, 65.2397s/100 iters), loss = 3.37653
I0518 03:47:35.550427 6025 solver.cpp:237] Train net output #0: loss = 2.36024 (* 1 = 2.36024 loss)
I0518 03:47:35.550485 6025 sgd_solver.cpp:105] Iteration 37300, lr = 0.001
I0518 03:48:40.782572 6025 solver.cpp:218] Iteration 37400 (1.53304 iter/s, 65.2297s/100 iters), loss = 3.09178
I0518 03:48:40.782800 6025 solver.cpp:237] Train net output #0: loss = 3.04555 (* 1 = 3.04555 loss)
I0518 03:48:40.782829 6025 sgd_solver.cpp:105] Iteration 37400, lr = 0.001
I0518 03:49:46.345695 6025 solver.cpp:218] Iteration 37500 (1.52531 iter/s, 65.5604s/100 iters), loss = 3.0773
I0518 03:49:46.345985 6025 solver.cpp:237] Train net output #0: loss = 2.55199 (* 1 = 2.55199 loss)
I0518 03:49:46.346025 6025 sgd_solver.cpp:105] Iteration 37500, lr = 0.001
I0518 03:50:51.338745 6025 solver.cpp:218] Iteration 37600 (1.53869 iter/s, 64.9903s/100 iters), loss = 3.2231
I0518 03:50:51.339900 6025 solver.cpp:237] Train net output #0: loss = 3.52503 (* 1 = 3.52503 loss)
I0518 03:50:51.339934 6025 sgd_solver.cpp:105] Iteration 37600, lr = 0.001
I0518 03:51:56.580550 6025 solver.cpp:218] Iteration 37700 (1.53285 iter/s, 65.2382s/100 iters), loss = 3.02264
I0518 03:51:56.582819 6025 solver.cpp:237] Train net output #0: loss = 2.20583 (* 1 = 2.20583 loss)
I0518 03:51:56.582841 6025 sgd_solver.cpp:105] Iteration 37700, lr = 0.001
I0518 03:53:02.214412 6025 solver.cpp:218] Iteration 37800 (1.52371 iter/s, 65.6291s/100 iters), loss = 3.18728
I0518 03:53:02.214644 6025 solver.cpp:237] Train net output #0: loss = 2.69643 (* 1 = 2.69643 loss)
I0518 03:53:02.214674 6025 sgd_solver.cpp:105] Iteration 37800, lr = 0.001
I0518 03:54:07.276659 6025 solver.cpp:218] Iteration 37900 (1.53705 iter/s, 65.0595s/100 iters), loss = 3.25535
I0518 03:54:07.276878 6025 solver.cpp:237] Train net output #0: loss = 4.73758 (* 1 = 4.73758 loss)
I0518 03:54:07.276896 6025 sgd_solver.cpp:105] Iteration 37900, lr = 0.001
I0518 03:55:12.773382 6025 solver.cpp:218] Iteration 38000 (1.52686 iter/s, 65.494s/100 iters), loss = 3.20819
I0518 03:55:12.774369 6025 solver.cpp:237] Train net output #0: loss = 4.76884 (* 1 = 4.76884 loss)
I0518 03:55:12.774389 6025 sgd_solver.cpp:105] Iteration 38000, lr = 0.001
I0518 03:56:18.141896 6025 solver.cpp:218] Iteration 38100 (1.52987 iter/s, 65.365s/100 iters), loss = 3.23116
I0518 03:56:18.144186 6025 solver.cpp:237] Train net output #0: loss = 1.98823 (* 1 = 1.98823 loss)
I0518 03:56:18.144212 6025 sgd_solver.cpp:105] Iteration 38100, lr = 0.001
I0518 03:57:23.325786 6025 solver.cpp:218] Iteration 38200 (1.53423 iter/s, 65.1791s/100 iters), loss = 3.22682
I0518 03:57:23.326630 6025 solver.cpp:237] Train net output #0: loss = 2.63227 (* 1 = 2.63227 loss)
I0518 03:57:23.326653 6025 sgd_solver.cpp:105] Iteration 38200, lr = 0.001
I0518 03:58:28.807667 6025 solver.cpp:218] Iteration 38300 (1.52722 iter/s, 65.4785s/100 iters), loss = 3.16375
I0518 03:58:28.807950 6025 solver.cpp:237] Train net output #0: loss = 2.32722 (* 1 = 2.32722 loss)
I0518 03:58:28.807992 6025 sgd_solver.cpp:105] Iteration 38300, lr = 0.001
I0518 03:59:34.350239 6025 solver.cpp:218] Iteration 38400 (1.52579 iter/s, 65.5397s/100 iters), loss = 3.11322
I0518 03:59:34.350869 6025 solver.cpp:237] Train net output #0: loss = 4.90898 (* 1 = 4.90898 loss)
I0518 03:59:34.350919 6025 sgd_solver.cpp:105] Iteration 38400, lr = 0.001
I0518 04:00:40.263689 6025 solver.cpp:218] Iteration 38500 (1.51721 iter/s, 65.9103s/100 iters), loss = 3.15578
I0518 04:00:40.263967 6025 solver.cpp:237] Train net output #0: loss = 3.07439 (* 1 = 3.07439 loss)
I0518 04:00:40.264019 6025 sgd_solver.cpp:105] Iteration 38500, lr = 0.001
I0518 04:01:46.288527 6025 solver.cpp:218] Iteration 38600 (1.51464 iter/s, 66.0221s/100 iters), loss = 3.37488
I0518 04:01:46.288779 6025 solver.cpp:237] Train net output #0: loss = 2.35442 (* 1 = 2.35442 loss)
I0518 04:01:46.288808 6025 sgd_solver.cpp:105] Iteration 38600, lr = 0.001
I0518 04:02:52.192548 6025 solver.cpp:218] Iteration 38700 (1.51742 iter/s, 65.9012s/100 iters), loss = 3.34376
I0518 04:02:52.195992 6025 solver.cpp:237] Train net output #0: loss = 3.83508 (* 1 = 3.83508 loss)
I0518 04:02:52.196033 6025 sgd_solver.cpp:105] Iteration 38700, lr = 0.001
I0518 04:03:58.292014 6025 solver.cpp:218] Iteration 38800 (1.51301 iter/s, 66.0935s/100 iters), loss = 3.40732
I0518 04:03:58.292317 6025 solver.cpp:237] Train net output #0: loss = 2.67113 (* 1 = 2.67113 loss)
I0518 04:03:58.292335 6025 sgd_solver.cpp:105] Iteration 38800, lr = 0.001
I0518 04:05:04.338536 6025 solver.cpp:218] Iteration 38900 (1.51415 iter/s, 66.0437s/100 iters), loss = 3.13076
I0518 04:05:04.338805 6025 solver.cpp:237] Train net output #0: loss = 2.12341 (* 1 = 2.12341 loss)
I0518 04:05:04.338846 6025 sgd_solver.cpp:105] Iteration 38900, lr = 0.001
I0518 04:06:09.850981 6025 solver.cpp:218] Iteration 39000 (1.52649 iter/s, 65.5097s/100 iters), loss = 3.28544
I0518 04:06:09.851260 6025 solver.cpp:237] Train net output #0: loss = 3.29449 (* 1 = 3.29449 loss)
I0518 04:06:09.851299 6025 sgd_solver.cpp:105] Iteration 39000, lr = 0.001
I0518 04:07:15.074473 6025 solver.cpp:218] Iteration 39100 (1.53325 iter/s, 65.2207s/100 iters), loss = 3.07476
I0518 04:07:15.074735 6025 solver.cpp:237] Train net output #0: loss = 4.83225 (* 1 = 4.83225 loss)
I0518 04:07:15.074764 6025 sgd_solver.cpp:105] Iteration 39100, lr = 0.001
I0518 04:08:20.417879 6025 solver.cpp:218] Iteration 39200 (1.53044 iter/s, 65.3406s/100 iters), loss = 3.24299
I0518 04:08:20.418916 6025 solver.cpp:237] Train net output #0: loss = 2.59771 (* 1 = 2.59771 loss)
I0518 04:08:20.418954 6025 sgd_solver.cpp:105] Iteration 39200, lr = 0.001
I0518 04:09:25.940351 6025 solver.cpp:218] Iteration 39300 (1.52628 iter/s, 65.5189s/100 iters), loss = 3.11808
I0518 04:09:25.940626 6025 solver.cpp:237] Train net output #0: loss = 2.52681 (* 1 = 2.52681 loss)
I0518 04:09:25.940677 6025 sgd_solver.cpp:105] Iteration 39300, lr = 0.001
I0518 04:10:31.128062 6025 solver.cpp:218] Iteration 39400 (1.5341 iter/s, 65.1849s/100 iters), loss = 3.29222
I0518 04:10:31.128351 6025 solver.cpp:237] Train net output #0: loss = 2.72516 (* 1 = 2.72516 loss)
I0518 04:10:31.128399 6025 sgd_solver.cpp:105] Iteration 39400, lr = 0.001
I0518 04:11:36.673995 6025 solver.cpp:218] Iteration 39500 (1.52571 iter/s, 65.5432s/100 iters), loss = 3.1401
I0518 04:11:36.674211 6025 solver.cpp:237] Train net output #0: loss = 4.79074 (* 1 = 4.79074 loss)
I0518 04:11:36.674237 6025 sgd_solver.cpp:105] Iteration 39500, lr = 0.001
I0518 04:12:42.217905 6025 solver.cpp:218] Iteration 39600 (1.52576 iter/s, 65.5412s/100 iters), loss = 3.28701
I0518 04:12:42.218171 6025 solver.cpp:237] Train net output #0: loss = 4.77176 (* 1 = 4.77176 loss)
I0518 04:12:42.218199 6025 sgd_solver.cpp:105] Iteration 39600, lr = 0.001
I0518 04:13:47.693143 6025 solver.cpp:218] Iteration 39700 (1.52736 iter/s, 65.4725s/100 iters), loss = 3.18924
I0518 04:13:47.693441 6025 solver.cpp:237] Train net output #0: loss = 2.44073 (* 1 = 2.44073 loss)
I0518 04:13:47.693477 6025 sgd_solver.cpp:105] Iteration 39700, lr = 0.001
I0518 04:14:52.688925 6025 solver.cpp:218] Iteration 39800 (1.53863 iter/s, 64.993s/100 iters), loss = 3.20708
I0518 04:14:52.689157 6025 solver.cpp:237] Train net output #0: loss = 2.21201 (* 1 = 2.21201 loss)
I0518 04:14:52.689177 6025 sgd_solver.cpp:105] Iteration 39800, lr = 0.001
I0518 04:15:58.016537 6025 solver.cpp:218] Iteration 39900 (1.53081 iter/s, 65.3249s/100 iters), loss = 3.30086
I0518 04:15:58.016788 6025 solver.cpp:237] Train net output #0: loss = 4.67295 (* 1 = 4.67295 loss)
I0518 04:15:58.016815 6025 sgd_solver.cpp:105] Iteration 39900, lr = 0.001
I0518 04:17:03.571956 6025 solver.cpp:218] Iteration 40000 (1.52549 iter/s, 65.5527s/100 iters), loss = 3.20809
I0518 04:17:03.572253 6025 solver.cpp:237] Train net output #0: loss = 4.78094 (* 1 = 4.78094 loss)
I0518 04:17:03.572298 6025 sgd_solver.cpp:105] Iteration 40000, lr = 0.001
I0518 04:17:25.889022 6025 solver.cpp:447] Snapshotting to binary proto file snapshot/ft_all_iter_40035.caffemodel
I0518 04:17:26.650264 6025 sgd_solver.cpp:273] Snapshotting solver state to binary proto file snapshot/ft_all_iter_40035.solverstate
I0518 04:17:26.755697 6025 solver.cpp:330] Iteration 40035, Testing net (#0)
I0518 04:19:34.391247 6073 data_layer.cpp:73] Restarting data prefetching from start.
I0518 04:19:34.634670 6025 solver.cpp:397] Test net output #0: accuracy = 0.331008
I0518 04:19:34.634748 6025 solver.cpp:397] Test net output #1: loss = 2.99412 (* 1 = 2.99412 loss)
I0518 04:20:17.901821 6025 solver.cpp:218] Iteration 40100 (0.514609 iter/s, 194.322s/100 iters), loss = 3.46605
I0518 04:20:17.903470 6025 solver.cpp:237] Train net output #0: loss = 4.97745 (* 1 = 4.97745 loss)
I0518 04:20:17.903491 6025 sgd_solver.cpp:105] Iteration 40100, lr = 0.001
I0518 04:21:23.576261 6025 solver.cpp:218] Iteration 40200 (1.52276 iter/s, 65.6703s/100 iters), loss = 3.23482
I0518 04:21:23.576468 6025 solver.cpp:237] Train net output #0: loss = 4.83277 (* 1 = 4.83277 loss)
I0518 04:21:23.576485 6025 sgd_solver.cpp:105] Iteration 40200, lr = 0.001
I0518 04:22:29.633585 6025 solver.cpp:218] Iteration 40300 (1.5139 iter/s, 66.0546s/100 iters), loss = 3.14203
I0518 04:22:29.633857 6025 solver.cpp:237] Train net output #0: loss = 2.45175 (* 1 = 2.45175 loss)
I0518 04:22:29.633905 6025 sgd_solver.cpp:105] Iteration 40300, lr = 0.001
I0518 04:23:34.884243 6025 solver.cpp:218] Iteration 40400 (1.53262 iter/s, 65.2479s/100 iters), loss = 3.41046
I0518 04:23:34.884727 6025 solver.cpp:237] Train net output #0: loss = 2.37725 (* 1 = 2.37725 loss)
I0518 04:23:34.884749 6025 sgd_solver.cpp:105] Iteration 40400, lr = 0.001
I0518 04:24:40.313563 6025 solver.cpp:218] Iteration 40500 (1.52844 iter/s, 65.4263s/100 iters), loss = 3.28618
I0518 04:24:40.313833 6025 solver.cpp:237] Train net output #0: loss = 3.11276 (* 1 = 3.11276 loss)
I0518 04:24:40.313869 6025 sgd_solver.cpp:105] Iteration 40500, lr = 0.001
I0518 04:25:43.940241 6025 solver.cpp:218] Iteration 40600 (1.57173 iter/s, 63.624s/100 iters), loss = 3.3948
I0518 04:25:43.940521 6025 solver.cpp:237] Train net output #0: loss = 4.75382 (* 1 = 4.75382 loss)
I0518 04:25:43.940560 6025 sgd_solver.cpp:105] Iteration 40600, lr = 0.001
I0518 04:26:47.939507 6025 solver.cpp:218] Iteration 40700 (1.56258 iter/s, 63.9965s/100 iters), loss = 3.53329
I0518 04:26:47.941169 6025 solver.cpp:237] Train net output #0: loss = 4.70946 (* 1 = 4.70946 loss)
I0518 04:26:47.941197 6025 sgd_solver.cpp:105] Iteration 40700, lr = 0.001
I0518 04:27:51.612398 6025 solver.cpp:218] Iteration 40800 (1.57063 iter/s, 63.6688s/100 iters), loss = 3.36492
I0518 04:27:51.612664 6025 solver.cpp:237] Train net output #0: loss = 2.99625 (* 1 = 2.99625 loss)
I0518 04:27:51.612722 6025 sgd_solver.cpp:105] Iteration 40800, lr = 0.001
I0518 04:28:55.518851 6025 solver.cpp:218] Iteration 40900 (1.56486 iter/s, 63.9037s/100 iters), loss = 3.42243
I0518 04:28:55.519102 6025 solver.cpp:237] Train net output #0: loss = 4.90243 (* 1 = 4.90243 loss)
I0518 04:28:55.519165 6025 sgd_solver.cpp:105] Iteration 40900, lr = 0.001
I0518 04:29:59.354545 6025 solver.cpp:218] Iteration 41000 (1.56659 iter/s, 63.833s/100 iters), loss = 3.41003
I0518 04:29:59.354837 6025 solver.cpp:237] Train net output #0: loss = 3.01046 (* 1 = 3.01046 loss)
I0518 04:29:59.354890 6025 sgd_solver.cpp:105] Iteration 41000, lr = 0.001
I0518 04:31:03.219867 6025 solver.cpp:218] Iteration 41100 (1.56586 iter/s, 63.8626s/100 iters), loss = 3.37738
I0518 04:31:03.220818 6025 solver.cpp:237] Train net output #0: loss = 3.03783 (* 1 = 3.03783 loss)
I0518 04:31:03.220854 6025 sgd_solver.cpp:105] Iteration 41100, lr = 0.001
I0518 04:32:08.454685 6025 solver.cpp:218] Iteration 41200 (1.533 iter/s, 65.2314s/100 iters), loss = 3.31634
I0518 04:32:08.455085 6025 solver.cpp:237] Train net output #0: loss = 1.72052 (* 1 = 1.72052 loss)
I0518 04:32:08.455101 6025 sgd_solver.cpp:105] Iteration 41200, lr = 0.001
I0518 04:33:12.900157 6025 solver.cpp:218] Iteration 41300 (1.55177 iter/s, 64.4426s/100 iters), loss = 3.41173
I0518 04:33:12.900439 6025 solver.cpp:237] Train net output #0: loss = 2.56907 (* 1 = 2.56907 loss)
I0518 04:33:12.900460 6025 sgd_solver.cpp:105] Iteration 41300, lr = 0.001
I0518 04:34:17.502909 6025 solver.cpp:218] Iteration 41400 (1.54799 iter/s, 64.6s/100 iters), loss = 3.26028
I0518 04:34:17.503166 6025 solver.cpp:237] Train net output #0: loss = 2.71117 (* 1 = 2.71117 loss)
I0518 04:34:17.503203 6025 sgd_solver.cpp:105] Iteration 41400, lr = 0.001
I0518 04:35:22.173830 6025 solver.cpp:218] Iteration 41500 (1.54636 iter/s, 64.6682s/100 iters), loss = 3.23219
I0518 04:35:22.174088 6025 solver.cpp:237] Train net output #0: loss = 2.60678 (* 1 = 2.60678 loss)
I0518 04:35:22.174129 6025 sgd_solver.cpp:105] Iteration 41500, lr = 0.001
I0518 04:36:27.367501 6025 solver.cpp:218] Iteration 41600 (1.53396 iter/s, 65.1909s/100 iters), loss = 3.45199
I0518 04:36:27.367765 6025 solver.cpp:237] Train net output #0: loss = 2.3198 (* 1 = 2.3198 loss)
I0518 04:36:27.367810 6025 sgd_solver.cpp:105] Iteration 41600, lr = 0.001
I0518 04:37:32.960402 6025 solver.cpp:218] Iteration 41700 (1.52462 iter/s, 65.5901s/100 iters), loss = 3.18878
I0518 04:37:32.962254 6025 solver.cpp:237] Train net output #0: loss = 4.65671 (* 1 = 4.65671 loss)
I0518 04:37:32.962277 6025 sgd_solver.cpp:105] Iteration 41700, lr = 0.001
I0518 04:38:38.732362 6025 solver.cpp:218] Iteration 41800 (1.52051 iter/s, 65.7676s/100 iters), loss = 3.08966
I0518 04:38:38.732614 6025 solver.cpp:237] Train net output #0: loss = 2.61625 (* 1 = 2.61625 loss)
I0518 04:38:38.732646 6025 sgd_solver.cpp:105] Iteration 41800, lr = 0.001
I0518 04:39:44.317983 6025 solver.cpp:218] Iteration 41900 (1.52479 iter/s, 65.5829s/100 iters), loss = 3.28307
I0518 04:39:44.319972 6025 solver.cpp:237] Train net output #0: loss = 4.73585 (* 1 = 4.73585 loss)
I0518 04:39:44.320020 6025 sgd_solver.cpp:105] Iteration 41900, lr = 0.001
I0518 04:40:49.830629 6025 solver.cpp:218] Iteration 42000 (1.52653 iter/s, 65.5082s/100 iters), loss = 3.08474
I0518 04:40:49.832860 6025 solver.cpp:237] Train net output #0: loss = 4.74127 (* 1 = 4.74127 loss)
I0518 04:40:49.832906 6025 sgd_solver.cpp:105] Iteration 42000, lr = 0.001
I0518 04:41:55.434937 6025 solver.cpp:218] Iteration 42100 (1.5244 iter/s, 65.5995s/100 iters), loss = 3.10279
I0518 04:41:55.435227 6025 solver.cpp:237] Train net output #0: loss = 2.12849 (* 1 = 2.12849 loss)
I0518 04:41:55.435269 6025 sgd_solver.cpp:105] Iteration 42100, lr = 0.001
I0518 04:43:00.629284 6025 solver.cpp:218] Iteration 42200 (1.53394 iter/s, 65.1916s/100 iters), loss = 3.08922
I0518 04:43:00.629556 6025 solver.cpp:237] Train net output #0: loss = 2.45731 (* 1 = 2.45731 loss)
I0518 04:43:00.629608 6025 sgd_solver.cpp:105] Iteration 42200, lr = 0.001
I0518 04:44:05.912103 6025 solver.cpp:218] Iteration 42300 (1.53186 iter/s, 65.2801s/100 iters), loss = 3.0797
I0518 04:44:05.913421 6025 solver.cpp:237] Train net output #0: loss = 2.51911 (* 1 = 2.51911 loss)
I0518 04:44:05.913470 6025 sgd_solver.cpp:105] Iteration 42300, lr = 0.001
I0518 04:45:11.064286 6025 solver.cpp:218] Iteration 42400 (1.53496 iter/s, 65.1484s/100 iters), loss = 3.21575
I0518 04:45:11.065646 6025 solver.cpp:237] Train net output #0: loss = 2.4479 (* 1 = 2.4479 loss)
I0518 04:45:11.065662 6025 sgd_solver.cpp:105] Iteration 42400, lr = 0.001
I0518 04:46:16.547163 6025 solver.cpp:218] Iteration 42500 (1.52721 iter/s, 65.479s/100 iters), loss = 3.35741
I0518 04:46:16.547976 6025 solver.cpp:237] Train net output #0: loss = 2.55748 (* 1 = 2.55748 loss)
I0518 04:46:16.547996 6025 sgd_solver.cpp:105] Iteration 42500, lr = 0.001
I0518 04:47:21.604058 6025 solver.cpp:218] Iteration 42600 (1.53719 iter/s, 65.0536s/100 iters), loss = 3.10762
I0518 04:47:21.604346 6025 solver.cpp:237] Train net output #0: loss = 2.53269 (* 1 = 2.53269 loss)
I0518 04:47:21.604401 6025 sgd_solver.cpp:105] Iteration 42600, lr = 0.001
I0518 04:48:26.589736 6025 solver.cpp:218] Iteration 42700 (1.53887 iter/s, 64.9829s/100 iters), loss = 3.04119
I0518 04:48:26.590008 6025 solver.cpp:237] Train net output #0: loss = 2.26253 (* 1 = 2.26253 loss)
I0518 04:48:26.590039 6025 sgd_solver.cpp:105] Iteration 42700, lr = 0.001
I0518 04:49:31.843484 6025 solver.cpp:218] Iteration 42800 (1.53255 iter/s, 65.2509s/100 iters), loss = 3.22276
I0518 04:49:31.843787 6025 solver.cpp:237] Train net output #0: loss = 3.36317 (* 1 = 3.36317 loss)
I0518 04:49:31.843824 6025 sgd_solver.cpp:105] Iteration 42800, lr = 0.001
I0518 04:50:37.539758 6025 solver.cpp:218] Iteration 42900 (1.52222 iter/s, 65.6935s/100 iters), loss = 3.14213
I0518 04:50:37.539997 6025 solver.cpp:237] Train net output #0: loss = 2.60361 (* 1 = 2.60361 loss)
I0518 04:50:37.540016 6025 sgd_solver.cpp:105] Iteration 42900, lr = 0.001
I0518 04:51:42.992599 6025 solver.cpp:218] Iteration 43000 (1.52788 iter/s, 65.4501s/100 iters), loss = 3.07442
I0518 04:51:42.992866 6025 solver.cpp:237] Train net output #0: loss = 2.62545 (* 1 = 2.62545 loss)
I0518 04:51:42.992909 6025 sgd_solver.cpp:105] Iteration 43000, lr = 0.001
I0518 04:52:49.147871 6025 solver.cpp:218] Iteration 43100 (1.51166 iter/s, 66.1525s/100 iters), loss = 3.25282
I0518 04:52:49.148126 6025 solver.cpp:237] Train net output #0: loss = 2.2048 (* 1 = 2.2048 loss)
I0518 04:52:49.148169 6025 sgd_solver.cpp:105] Iteration 43100, lr = 0.001
I0518 04:53:54.724257 6025 solver.cpp:218] Iteration 43200 (1.525 iter/s, 65.5736s/100 iters), loss = 3.21657
I0518 04:53:54.727727 6025 solver.cpp:237] Train net output #0: loss = 4.67434 (* 1 = 4.67434 loss)
I0518 04:53:54.727754 6025 sgd_solver.cpp:105] Iteration 43200, lr = 0.001
I0518 04:55:01.087415 6025 solver.cpp:218] Iteration 43300 (1.507 iter/s, 66.3572s/100 iters), loss = 3.13187
I0518 04:55:01.090261 6025 solver.cpp:237] Train net output #0: loss = 3.61602 (* 1 = 3.61602 loss)
I0518 04:55:01.090293 6025 sgd_solver.cpp:105] Iteration 43300, lr = 0.001
I0518 04:56:07.260942 6025 solver.cpp:218] Iteration 43400 (1.5113 iter/s, 66.1682s/100 iters), loss = 3.17866
I0518 04:56:07.262346 6025 solver.cpp:237] Train net output #0: loss = 2.41612 (* 1 = 2.41612 loss)
I0518 04:56:07.262362 6025 sgd_solver.cpp:105] Iteration 43400, lr = 0.001
I0518 04:57:13.171066 6025 solver.cpp:218] Iteration 43500 (1.51731 iter/s, 65.9062s/100 iters), loss = 3.32162
I0518 04:57:13.171859 6025 solver.cpp:237] Train net output #0: loss = 4.73072 (* 1 = 4.73072 loss)
I0518 04:57:13.171885 6025 sgd_solver.cpp:105] Iteration 43500, lr = 0.001
I0518 04:58:18.854745 6025 solver.cpp:218] Iteration 43600 (1.52253 iter/s, 65.6804s/100 iters), loss = 3.14299
I0518 04:58:18.855079 6025 solver.cpp:237] Train net output #0: loss = 2.13825 (* 1 = 2.13825 loss)
I0518 04:58:18.855124 6025 sgd_solver.cpp:105] Iteration 43600, lr = 0.001
I0518 04:59:24.885594 6025 solver.cpp:218] Iteration 43700 (1.51451 iter/s, 66.028s/100 iters), loss = 3.18223
I0518 04:59:24.886899 6025 solver.cpp:237] Train net output #0: loss = 2.70107 (* 1 = 2.70107 loss)
I0518 04:59:24.886947 6025 sgd_solver.cpp:105] Iteration 43700, lr = 0.001
I0518 05:00:30.172211 6025 solver.cpp:218] Iteration 43800 (1.5318 iter/s, 65.2828s/100 iters), loss = 3.21197
I0518 05:00:30.172487 6025 solver.cpp:237] Train net output #0: loss = 2.97531 (* 1 = 2.97531 loss)
I0518 05:00:30.172516 6025 sgd_solver.cpp:105] Iteration 43800, lr = 0.001
I0518 05:01:35.963809 6025 solver.cpp:218] Iteration 43900 (1.52002 iter/s, 65.7888s/100 iters), loss = 3.2772
I0518 05:01:35.964874 6025 solver.cpp:237] Train net output #0: loss = 2.62818 (* 1 = 2.62818 loss)
I0518 05:01:35.964906 6025 sgd_solver.cpp:105] Iteration 43900, lr = 0.001
I0518 05:02:41.547036 6025 solver.cpp:218] Iteration 44000 (1.52486 iter/s, 65.5797s/100 iters), loss = 3.18563
I0518 05:02:41.547765 6025 solver.cpp:237] Train net output #0: loss = 4.75277 (* 1 = 4.75277 loss)
I0518 05:02:41.547788 6025 sgd_solver.cpp:105] Iteration 44000, lr = 0.001
I0518 05:03:46.814098 6025 solver.cpp:218] Iteration 44100 (1.53224 iter/s, 65.2638s/100 iters), loss = 2.99431
I0518 05:03:46.814390 6025 solver.cpp:237] Train net output #0: loss = 3.17076 (* 1 = 3.17076 loss)
I0518 05:03:46.814433 6025 sgd_solver.cpp:105] Iteration 44100, lr = 0.001
I0518 05:04:52.390700 6025 solver.cpp:218] Iteration 44200 (1.525 iter/s, 65.5738s/100 iters), loss = 3.1466
I0518 05:04:52.391008 6025 solver.cpp:237] Train net output #0: loss = 3.05926 (* 1 = 3.05926 loss)
I0518 05:04:52.391052 6025 sgd_solver.cpp:105] Iteration 44200, lr = 0.001
I0518 05:05:57.747028 6025 solver.cpp:218] Iteration 44300 (1.53014 iter/s, 65.3535s/100 iters), loss = 3.26753
I0518 05:05:57.747277 6025 solver.cpp:237] Train net output #0: loss = 2.42349 (* 1 = 2.42349 loss)
I0518 05:05:57.747305 6025 sgd_solver.cpp:105] Iteration 44300, lr = 0.001
I0518 05:07:03.111274 6025 solver.cpp:218] Iteration 44400 (1.52995 iter/s, 65.3615s/100 iters), loss = 3.22274
I0518 05:07:03.114224 6025 solver.cpp:237] Train net output #0: loss = 4.55758 (* 1 = 4.55758 loss)
I0518 05:07:03.114265 6025 sgd_solver.cpp:105] Iteration 44400, lr = 0.001
I0518 05:08:07.840556 6025 solver.cpp:218] Iteration 44500 (1.54503 iter/s, 64.7239s/100 iters), loss = 3.25409
I0518 05:08:07.840859 6025 solver.cpp:237] Train net output #0: loss = 2.85688 (* 1 = 2.85688 loss)
I0518 05:08:07.840907 6025 sgd_solver.cpp:105] Iteration 44500, lr = 0.001
I0518 05:09:13.337028 6025 solver.cpp:218] Iteration 44600 (1.52686 iter/s, 65.4937s/100 iters), loss = 3.14121
I0518 05:09:13.337270 6025 solver.cpp:237] Train net output #0: loss = 4.79206 (* 1 = 4.79206 loss)
I0518 05:09:13.337291 6025 sgd_solver.cpp:105] Iteration 44600, lr = 0.001
I0518 05:10:18.224072 6025 solver.cpp:218] Iteration 44700 (1.54121 iter/s, 64.8843s/100 iters), loss = 2.85276
I0518 05:10:18.224375 6025 solver.cpp:237] Train net output #0: loss = 2.10795 (* 1 = 2.10795 loss)
I0518 05:10:18.224419 6025 sgd_solver.cpp:105] Iteration 44700, lr = 0.001
I0518 05:11:23.682051 6025 solver.cpp:218] Iteration 44800 (1.52776 iter/s, 65.4552s/100 iters), loss = 3.11896
I0518 05:11:23.686347 6025 solver.cpp:237] Train net output #0: loss = 2.59436 (* 1 = 2.59436 loss)
I0518 05:11:23.686375 6025 sgd_solver.cpp:105] Iteration 44800, lr = 0.001
I0518 05:12:29.521405 6025 solver.cpp:218] Iteration 44900 (1.51901 iter/s, 65.8325s/100 iters), loss = 2.96657
I0518 05:12:29.522362 6025 solver.cpp:237] Train net output #0: loss = 2.66501 (* 1 = 2.66501 loss)
I0518 05:12:29.522397 6025 sgd_solver.cpp:105] Iteration 44900, lr = 0.001
I0518 05:13:35.522352 6025 solver.cpp:218] Iteration 45000 (1.51521 iter/s, 65.9975s/100 iters), loss = 3.1869
I0518 05:13:35.522622 6025 solver.cpp:237] Train net output #0: loss = 4.87921 (* 1 = 4.87921 loss)
I0518 05:13:35.522662 6025 sgd_solver.cpp:105] Iteration 45000, lr = 0.001
I0518 05:14:42.122488 6025 solver.cpp:218] Iteration 45100 (1.50156 iter/s, 66.5973s/100 iters), loss = 3.42736
I0518 05:14:42.123147 6025 solver.cpp:237] Train net output #0: loss = 3.35081 (* 1 = 3.35081 loss)
I0518 05:14:42.123210 6025 sgd_solver.cpp:105] Iteration 45100, lr = 0.001
I0518 05:15:48.381155 6025 solver.cpp:218] Iteration 45200 (1.50931 iter/s, 66.2555s/100 iters), loss = 3.32027
I0518 05:15:48.381444 6025 solver.cpp:237] Train net output #0: loss = 2.60274 (* 1 = 2.60274 loss)
I0518 05:15:48.381481 6025 sgd_solver.cpp:105] Iteration 45200, lr = 0.001
I0518 05:16:54.081812 6025 solver.cpp:218] Iteration 45300 (1.52212 iter/s, 65.6979s/100 iters), loss = 3.24749
I0518 05:16:54.082073 6025 solver.cpp:237] Train net output #0: loss = 4.73534 (* 1 = 4.73534 loss)
I0518 05:16:54.082118 6025 sgd_solver.cpp:105] Iteration 45300, lr = 0.001
I0518 05:17:59.766048 6025 solver.cpp:218] Iteration 45400 (1.5225 iter/s, 65.6815s/100 iters), loss = 3.19908
I0518 05:17:59.767554 6025 solver.cpp:237] Train net output #0: loss = 3.08066 (* 1 = 3.08066 loss)
I0518 05:17:59.767573 6025 sgd_solver.cpp:105] Iteration 45400, lr = 0.001
I0518 05:19:04.912017 6025 solver.cpp:218] Iteration 45500 (1.53511 iter/s, 65.142s/100 iters), loss = 3.02985
I0518 05:19:04.914503 6025 solver.cpp:237] Train net output #0: loss = 2.1105 (* 1 = 2.1105 loss)
I0518 05:19:04.914525 6025 sgd_solver.cpp:105] Iteration 45500, lr = 0.001
I0518 05:20:10.332718 6025 solver.cpp:218] Iteration 45600 (1.52868 iter/s, 65.4157s/100 iters), loss = 3.25092
I0518 05:20:10.332940 6025 solver.cpp:237] Train net output #0: loss = 4.68822 (* 1 = 4.68822 loss)
I0518 05:20:10.332965 6025 sgd_solver.cpp:105] Iteration 45600, lr = 0.001
I0518 05:21:15.742252 6025 solver.cpp:218] Iteration 45700 (1.52889 iter/s, 65.4068s/100 iters), loss = 3.13829
I0518 05:21:15.742481 6025 solver.cpp:237] Train net output #0: loss = 2.24246 (* 1 = 2.24246 loss)
I0518 05:21:15.742501 6025 sgd_solver.cpp:105] Iteration 45700, lr = 0.001
I0518 05:22:21.179673 6025 solver.cpp:218] Iteration 45800 (1.52824 iter/s, 65.4347s/100 iters), loss = 3.10722
I0518 05:22:21.179885 6025 solver.cpp:237] Train net output #0: loss = 2.63003 (* 1 = 2.63003 loss)
I0518 05:22:21.179913 6025 sgd_solver.cpp:105] Iteration 45800, lr = 0.001
I0518 05:23:26.740438 6025 solver.cpp:218] Iteration 45900 (1.52537 iter/s, 65.5581s/100 iters), loss = 3.14201
I0518 05:23:26.740706 6025 solver.cpp:237] Train net output #0: loss = 2.22447 (* 1 = 2.22447 loss)
I0518 05:23:26.740742 6025 sgd_solver.cpp:105] Iteration 45900, lr = 0.001
I0518 05:24:32.105128 6025 solver.cpp:218] Iteration 46000 (1.52994 iter/s, 65.3619s/100 iters), loss = 3.13654
I0518 05:24:32.105412 6025 solver.cpp:237] Train net output #0: loss = 4.57708 (* 1 = 4.57708 loss)
I0518 05:24:32.105445 6025 sgd_solver.cpp:105] Iteration 46000, lr = 0.001
I0518 05:25:37.339479 6025 solver.cpp:218] Iteration 46100 (1.533 iter/s, 65.2316s/100 iters), loss = 3.03402
I0518 05:25:37.339749 6025 solver.cpp:237] Train net output #0: loss = 2.79089 (* 1 = 2.79089 loss)
I0518 05:25:37.339807 6025 sgd_solver.cpp:105] Iteration 46100, lr = 0.001
I0518 05:26:42.226548 6025 solver.cpp:218] Iteration 46200 (1.5412 iter/s, 64.8843s/100 iters), loss = 3.24361
I0518 05:26:42.226850 6025 solver.cpp:237] Train net output #0: loss = 2.25655 (* 1 = 2.25655 loss)
I0518 05:26:42.226879 6025 sgd_solver.cpp:105] Iteration 46200, lr = 0.001
I0518 05:27:47.550168 6025 solver.cpp:218] Iteration 46300 (1.53091 iter/s, 65.3208s/100 iters), loss = 3.21382
I0518 05:27:47.550972 6025 solver.cpp:237] Train net output #0: loss = 1.94509 (* 1 = 1.94509 loss)
I0518 05:27:47.550992 6025 sgd_solver.cpp:105] Iteration 46300, lr = 0.001
I0518 05:28:52.916713 6025 solver.cpp:218] Iteration 46400 (1.52991 iter/s, 65.3633s/100 iters), loss = 2.91017
I0518 05:28:52.916996 6025 solver.cpp:237] Train net output #0: loss = 2.63945 (* 1 = 2.63945 loss)
I0518 05:28:52.917026 6025 sgd_solver.cpp:105] Iteration 46400, lr = 0.001
I0518 05:29:58.370411 6025 solver.cpp:218] Iteration 46500 (1.52786 iter/s, 65.4509s/100 iters), loss = 3.15165
I0518 05:29:58.370779 6025 solver.cpp:237] Train net output #0: loss = 1.90504 (* 1 = 1.90504 loss)
I0518 05:29:58.370796 6025 sgd_solver.cpp:105] Iteration 46500, lr = 0.001
I0518 05:31:04.356081 6025 solver.cpp:218] Iteration 46600 (1.51555 iter/s, 65.9828s/100 iters), loss = 3.02149
I0518 05:31:04.356350 6025 solver.cpp:237] Train net output #0: loss = 2.74091 (* 1 = 2.74091 loss)
I0518 05:31:04.356395 6025 sgd_solver.cpp:105] Iteration 46600, lr = 0.001
I0518 05:32:10.722584 6025 solver.cpp:218] Iteration 46700 (1.50685 iter/s, 66.3637s/100 iters), loss = 2.9248
I0518 05:32:10.722887 6025 solver.cpp:237] Train net output #0: loss = 2.8939 (* 1 = 2.8939 loss)
I0518 05:32:10.722913 6025 sgd_solver.cpp:105] Iteration 46700, lr = 0.001
I0518 05:33:16.545507 6025 solver.cpp:218] Iteration 46800 (1.51929 iter/s, 65.8201s/100 iters), loss = 3.09722
I0518 05:33:16.545789 6025 solver.cpp:237] Train net output #0: loss = 4.78776 (* 1 = 4.78776 loss)
I0518 05:33:16.545835 6025 sgd_solver.cpp:105] Iteration 46800, lr = 0.001
I0518 05:34:22.496696 6025 solver.cpp:218] Iteration 46900 (1.51634 iter/s, 65.9484s/100 iters), loss = 3.26441
I0518 05:34:22.497009 6025 solver.cpp:237] Train net output #0: loss = 2.4213 (* 1 = 2.4213 loss)
I0518 05:34:22.497038 6025 sgd_solver.cpp:105] Iteration 46900, lr = 0.001
I0518 05:35:27.777130 6025 solver.cpp:218] Iteration 47000 (1.53192 iter/s, 65.2777s/100 iters), loss = 3.14474
I0518 05:35:27.777474 6025 solver.cpp:237] Train net output #0: loss = 2.9348 (* 1 = 2.9348 loss)
I0518 05:35:27.777513 6025 sgd_solver.cpp:105] Iteration 47000, lr = 0.001
I0518 05:36:32.901571 6025 solver.cpp:218] Iteration 47100 (1.53559 iter/s, 65.1216s/100 iters), loss = 3.24707
I0518 05:36:32.901840 6025 solver.cpp:237] Train net output #0: loss = 4.63673 (* 1 = 4.63673 loss)
I0518 05:36:32.901873 6025 sgd_solver.cpp:105] Iteration 47100, lr = 0.001
I0518 05:37:37.819144 6025 solver.cpp:218] Iteration 47200 (1.54048 iter/s, 64.9148s/100 iters), loss = 3.17929
I0518 05:37:37.821660 6025 solver.cpp:237] Train net output #0: loss = 4.84631 (* 1 = 4.84631 loss)
I0518 05:37:37.821686 6025 sgd_solver.cpp:105] Iteration 47200, lr = 0.001
I0518 05:38:42.695262 6025 solver.cpp:218] Iteration 47300 (1.54152 iter/s, 64.8711s/100 iters), loss = 3.27415
I0518 05:38:42.695493 6025 solver.cpp:237] Train net output #0: loss = 4.35079 (* 1 = 4.35079 loss)
I0518 05:38:42.696542 6025 sgd_solver.cpp:105] Iteration 47300, lr = 0.001
I0518 05:39:47.784014 6025 solver.cpp:218] Iteration 47400 (1.53643 iter/s, 65.086s/100 iters), loss = 3.10124
I0518 05:39:47.784282 6025 solver.cpp:237] Train net output #0: loss = 2.71472 (* 1 = 2.71472 loss)
I0518 05:39:47.784317 6025 sgd_solver.cpp:105] Iteration 47400, lr = 0.001
I0518 05:40:52.254228 6025 solver.cpp:218] Iteration 47500 (1.55117 iter/s, 64.4675s/100 iters), loss = 3.09065
I0518 05:40:52.255370 6025 solver.cpp:237] Train net output #0: loss = 2.74517 (* 1 = 2.74517 loss)
I0518 05:40:52.255403 6025 sgd_solver.cpp:105] Iteration 47500, lr = 0.001
I0518 05:41:57.411569 6025 solver.cpp:218] Iteration 47600 (1.53483 iter/s, 65.1537s/100 iters), loss = 3.02087
I0518 05:41:57.411852 6025 solver.cpp:237] Train net output #0: loss = 2.87238 (* 1 = 2.87238 loss)
I0518 05:41:57.411904 6025 sgd_solver.cpp:105] Iteration 47600, lr = 0.001
I0518 05:43:01.500869 6025 solver.cpp:218] Iteration 47700 (1.56039 iter/s, 64.0866s/100 iters), loss = 3.16874
I0518 05:43:01.501111 6025 solver.cpp:237] Train net output #0: loss = 4.79999 (* 1 = 4.79999 loss)
I0518 05:43:01.501142 6025 sgd_solver.cpp:105] Iteration 47700, lr = 0.001
I0518 05:44:05.190563 6025 solver.cpp:218] Iteration 47800 (1.57018 iter/s, 63.687s/100 iters), loss = 3.41506
I0518 05:44:05.192250 6025 solver.cpp:237] Train net output #0: loss = 4.83848 (* 1 = 4.83848 loss)
I0518 05:44:05.192301 6025 sgd_solver.cpp:105] Iteration 47800, lr = 0.001
I0518 05:45:08.933120 6025 solver.cpp:218] Iteration 47900 (1.56891 iter/s, 63.7384s/100 iters), loss = 3.61467
I0518 05:45:08.933362 6025 solver.cpp:237] Train net output #0: loss = 4.78984 (* 1 = 4.78984 loss)
I0518 05:45:08.933387 6025 sgd_solver.cpp:105] Iteration 47900, lr = 0.001
I0518 05:46:12.803166 6025 solver.cpp:218] Iteration 48000 (1.56575 iter/s, 63.8674s/100 iters), loss = 3.37595
I0518 05:46:12.803463 6025 solver.cpp:237] Train net output #0: loss = 4.77674 (* 1 = 4.77674 loss)
I0518 05:46:12.803511 6025 sgd_solver.cpp:105] Iteration 48000, lr = 0.001
I0518 05:46:38.993914 6025 solver.cpp:447] Snapshotting to binary proto file snapshot/ft_all_iter_48042.caffemodel
I0518 05:46:39.293725 6025 sgd_solver.cpp:273] Snapshotting solver state to binary proto file snapshot/ft_all_iter_48042.solverstate
I0518 05:46:39.403152 6025 solver.cpp:330] Iteration 48042, Testing net (#0)
I0518 05:48:41.676537 6073 data_layer.cpp:73] Restarting data prefetching from start.
I0518 05:48:41.938985 6025 solver.cpp:397] Test net output #0: accuracy = 0.345117
I0518 05:48:41.939060 6025 solver.cpp:397] Test net output #1: loss = 2.95368 (* 1 = 2.95368 loss)
I0518 05:49:20.103260 6025 solver.cpp:218] Iteration 48100 (0.533924 iter/s, 187.293s/100 iters), loss = 3.15954
I0518 05:49:20.103525 6025 solver.cpp:237] Train net output #0: loss = 4.8267 (* 1 = 4.8267 loss)
I0518 05:49:20.103546 6025 sgd_solver.cpp:105] Iteration 48100, lr = 0.001
I0518 05:50:24.911442 6025 solver.cpp:218] Iteration 48200 (1.54308 iter/s, 64.8055s/100 iters), loss = 3.18748
I0518 05:50:24.911685 6025 solver.cpp:237] Train net output #0: loss = 2.10547 (* 1 = 2.10547 loss)
I0518 05:50:24.911734 6025 sgd_solver.cpp:105] Iteration 48200, lr = 0.001
I0518 05:51:30.212436 6025 solver.cpp:218] Iteration 48300 (1.53143 iter/s, 65.2983s/100 iters), loss = 3.15556
I0518 05:51:30.212662 6025 solver.cpp:237] Train net output #0: loss = 2.03149 (* 1 = 2.03149 loss)
I0518 05:51:30.212682 6025 sgd_solver.cpp:105] Iteration 48300, lr = 0.001
I0518 05:52:35.027323 6025 solver.cpp:218] Iteration 48400 (1.54292 iter/s, 64.8122s/100 iters), loss = 3.28286
I0518 05:52:35.027576 6025 solver.cpp:237] Train net output #0: loss = 2.73296 (* 1 = 2.73296 loss)
I0518 05:52:35.027591 6025 sgd_solver.cpp:105] Iteration 48400, lr = 0.001
I0518 05:53:40.315081 6025 solver.cpp:218] Iteration 48500 (1.53175 iter/s, 65.285s/100 iters), loss = 3.13429
I0518 05:53:40.315356 6025 solver.cpp:237] Train net output #0: loss = 2.38386 (* 1 = 2.38386 loss)
I0518 05:53:40.315382 6025 sgd_solver.cpp:105] Iteration 48500, lr = 0.001
I0518 05:54:45.429910 6025 solver.cpp:218] Iteration 48600 (1.53581 iter/s, 65.1121s/100 iters), loss = 3.29893
I0518 05:54:45.430140 6025 solver.cpp:237] Train net output #0: loss = 1.99494 (* 1 = 1.99494 loss)
I0518 05:54:45.430155 6025 sgd_solver.cpp:105] Iteration 48600, lr = 0.001
I0518 05:55:50.251183 6025 solver.cpp:218] Iteration 48700 (1.54277 iter/s, 64.8186s/100 iters), loss = 3.32037
I0518 05:55:50.251435 6025 solver.cpp:237] Train net output #0: loss = 2.85562 (* 1 = 2.85562 loss)
I0518 05:55:50.251468 6025 sgd_solver.cpp:105] Iteration 48700, lr = 0.001
I0518 05:56:55.232609 6025 solver.cpp:218] Iteration 48800 (1.53897 iter/s, 64.9787s/100 iters), loss = 3.04447
I0518 05:56:55.232877 6025 solver.cpp:237] Train net output #0: loss = 2.5759 (* 1 = 2.5759 loss)
I0518 05:56:55.232924 6025 sgd_solver.cpp:105] Iteration 48800, lr = 0.001
I0518 05:57:59.925160 6025 solver.cpp:218] Iteration 48900 (1.54584 iter/s, 64.6898s/100 iters), loss = 3.12015
I0518 05:57:59.925467 6025 solver.cpp:237] Train net output #0: loss = 2.07687 (* 1 = 2.07687 loss)
I0518 05:57:59.925492 6025 sgd_solver.cpp:105] Iteration 48900, lr = 0.001
I0518 05:59:05.027794 6025 solver.cpp:218] Iteration 49000 (1.5361 iter/s, 65.0998s/100 iters), loss = 3.03435
I0518 05:59:05.028086 6025 solver.cpp:237] Train net output #0: loss = 2.71066 (* 1 = 2.71066 loss)
I0518 05:59:05.028116 6025 sgd_solver.cpp:105] Iteration 49000, lr = 0.001
I0518 06:00:09.957717 6025 solver.cpp:218] Iteration 49100 (1.54019 iter/s, 64.9271s/100 iters), loss = 3.3144
I0518 06:00:09.958320 6025 solver.cpp:237] Train net output #0: loss = 2.63791 (* 1 = 2.63791 loss)
I0518 06:00:09.958340 6025 sgd_solver.cpp:105] Iteration 49100, lr = 0.001
I0518 06:01:14.916121 6025 solver.cpp:218] Iteration 49200 (1.53952 iter/s, 64.9553s/100 iters), loss = 3.11602
I0518 06:01:14.917191 6025 solver.cpp:237] Train net output #0: loss = 1.85068 (* 1 = 1.85068 loss)
I0518 06:01:14.917212 6025 sgd_solver.cpp:105] Iteration 49200, lr = 0.001
I0518 06:02:19.804843 6025 solver.cpp:218] Iteration 49300 (1.54118 iter/s, 64.8852s/100 iters), loss = 3.2513
I0518 06:02:19.805125 6025 solver.cpp:237] Train net output #0: loss = 4.74243 (* 1 = 4.74243 loss)
I0518 06:02:19.805142 6025 sgd_solver.cpp:105] Iteration 49300, lr = 0.001
I0518 06:03:24.010542 6025 solver.cpp:218] Iteration 49400 (1.55756 iter/s, 64.2029s/100 iters), loss = 3.04347
I0518 06:03:24.010816 6025 solver.cpp:237] Train net output #0: loss = 2.58188 (* 1 = 2.58188 loss)
I0518 06:03:24.010854 6025 sgd_solver.cpp:105] Iteration 49400, lr = 0.001
I0518 06:04:29.014183 6025 solver.cpp:218] Iteration 49500 (1.53844 iter/s, 65.0009s/100 iters), loss = 3.06489
I0518 06:04:29.014468 6025 solver.cpp:237] Train net output #0: loss = 3.04935 (* 1 = 3.04935 loss)
I0518 06:04:29.014503 6025 sgd_solver.cpp:105] Iteration 49500, lr = 0.001
I0518 06:05:34.278051 6025 solver.cpp:218] Iteration 49600 (1.53231 iter/s, 65.2611s/100 iters), loss = 3.26205
I0518 06:05:34.280628 6025 solver.cpp:237] Train net output #0: loss = 2.75723 (* 1 = 2.75723 loss)
I0518 06:05:34.280668 6025 sgd_solver.cpp:105] Iteration 49600, lr = 0.001
I0518 06:06:39.941531 6025 solver.cpp:218] Iteration 49700 (1.52303 iter/s, 65.6584s/100 iters), loss = 3.0755
I0518 06:06:39.941819 6025 solver.cpp:237] Train net output #0: loss = 3.01317 (* 1 = 3.01317 loss)
I0518 06:06:39.941864 6025 sgd_solver.cpp:105] Iteration 49700, lr = 0.001
I0518 06:07:45.788501 6025 solver.cpp:218] Iteration 49800 (1.51874 iter/s, 65.8442s/100 iters), loss = 3.04241
I0518 06:07:45.788765 6025 solver.cpp:237] Train net output #0: loss = 2.27065 (* 1 = 2.27065 loss)
I0518 06:07:45.788792 6025 sgd_solver.cpp:105] Iteration 49800, lr = 0.001
I0518 06:08:51.894390 6025 solver.cpp:218] Iteration 49900 (1.51279 iter/s, 66.1031s/100 iters), loss = 3.1117
I0518 06:08:51.894711 6025 solver.cpp:237] Train net output #0: loss = 2.46783 (* 1 = 2.46783 loss)
I0518 06:08:51.894752 6025 sgd_solver.cpp:105] Iteration 49900, lr = 0.001
I0518 06:09:57.710536 6025 solver.cpp:218] Iteration 50000 (1.51945 iter/s, 65.8133s/100 iters), loss = 3.12544
I0518 06:09:57.710822 6025 solver.cpp:237] Train net output #0: loss = 2.55544 (* 1 = 2.55544 loss)
I0518 06:09:57.710849 6025 sgd_solver.cpp:105] Iteration 50000, lr = 0.001
I0518 06:11:03.611449 6025 solver.cpp:218] Iteration 50100 (1.51749 iter/s, 65.8982s/100 iters), loss = 3.18147
I0518 06:11:03.612592 6025 solver.cpp:237] Train net output #0: loss = 4.78562 (* 1 = 4.78562 loss)
I0518 06:11:03.612617 6025 sgd_solver.cpp:105] Iteration 50100, lr = 0.001
I0518 06:12:09.486534 6025 solver.cpp:218] Iteration 50200 (1.51811 iter/s, 65.8715s/100 iters), loss = 3.12969
I0518 06:12:09.487069 6025 solver.cpp:237] Train net output #0: loss = 2.31802 (* 1 = 2.31802 loss)
I0518 06:12:09.487090 6025 sgd_solver.cpp:105] Iteration 50200, lr = 0.001
I0518 06:13:14.908510 6025 solver.cpp:218] Iteration 50300 (1.52861 iter/s, 65.419s/100 iters), loss = 3.13322
I0518 06:13:14.911460 6025 solver.cpp:237] Train net output #0: loss = 2.5406 (* 1 = 2.5406 loss)
I0518 06:13:14.911481 6025 sgd_solver.cpp:105] Iteration 50300, lr = 0.001
I0518 06:14:20.221561 6025 solver.cpp:218] Iteration 50400 (1.53122 iter/s, 65.3076s/100 iters), loss = 3.15775
I0518 06:14:20.221778 6025 solver.cpp:237] Train net output #0: loss = 4.85065 (* 1 = 4.85065 loss)
I0518 06:14:20.221806 6025 sgd_solver.cpp:105] Iteration 50400, lr = 0.001
I0518 06:15:25.350364 6025 solver.cpp:218] Iteration 50500 (1.53548 iter/s, 65.1261s/100 iters), loss = 3.03725
I0518 06:15:25.351230 6025 solver.cpp:237] Train net output #0: loss = 2.93944 (* 1 = 2.93944 loss)
I0518 06:15:25.351248 6025 sgd_solver.cpp:105] Iteration 50500, lr = 0.001
I0518 06:16:30.370329 6025 solver.cpp:218] Iteration 50600 (1.53807 iter/s, 65.0166s/100 iters), loss = 3.07033
I0518 06:16:30.372788 6025 solver.cpp:237] Train net output #0: loss = 2.89153 (* 1 = 2.89153 loss)
I0518 06:16:30.372840 6025 sgd_solver.cpp:105] Iteration 50600, lr = 0.001
I0518 06:17:35.300168 6025 solver.cpp:218] Iteration 50700 (1.54024 iter/s, 64.9249s/100 iters), loss = 3.37836
I0518 06:17:35.300523 6025 solver.cpp:237] Train net output #0: loss = 4.6964 (* 1 = 4.6964 loss)
I0518 06:17:35.300559 6025 sgd_solver.cpp:105] Iteration 50700, lr = 0.001
I0518 06:18:39.948427 6025 solver.cpp:218] Iteration 50800 (1.5469 iter/s, 64.6454s/100 iters), loss = 3.34481
I0518 06:18:39.949090 6025 solver.cpp:237] Train net output #0: loss = 3.12524 (* 1 = 3.12524 loss)
I0518 06:18:39.949192 6025 sgd_solver.cpp:105] Iteration 50800, lr = 0.001
I0518 06:19:45.415155 6025 solver.cpp:218] Iteration 50900 (1.52757 iter/s, 65.4635s/100 iters), loss = 3.06125
I0518 06:19:45.415472 6025 solver.cpp:237] Train net output #0: loss = 2.52094 (* 1 = 2.52094 loss)
I0518 06:19:45.415513 6025 sgd_solver.cpp:105] Iteration 50900, lr = 0.001
I0518 06:20:50.256178 6025 solver.cpp:218] Iteration 51000 (1.5423 iter/s, 64.8382s/100 iters), loss = 3.07503
I0518 06:20:50.256912 6025 solver.cpp:237] Train net output #0: loss = 2.02181 (* 1 = 2.02181 loss)
I0518 06:20:50.256938 6025 sgd_solver.cpp:105] Iteration 51000, lr = 0.001
I0518 06:21:55.210373 6025 solver.cpp:218] Iteration 51100 (1.53962 iter/s, 64.951s/100 iters), loss = 3.14135
I0518 06:21:55.211144 6025 solver.cpp:237] Train net output #0: loss = 4.87181 (* 1 = 4.87181 loss)
I0518 06:21:55.211165 6025 sgd_solver.cpp:105] Iteration 51100, lr = 0.001
I0518 06:23:00.298435 6025 solver.cpp:218] Iteration 51200 (1.53646 iter/s, 65.0848s/100 iters), loss = 3.02497
I0518 06:23:00.298699 6025 solver.cpp:237] Train net output #0: loss = 4.72667 (* 1 = 4.72667 loss)
I0518 06:23:00.298738 6025 sgd_solver.cpp:105] Iteration 51200, lr = 0.001
I0518 06:24:05.267006 6025 solver.cpp:218] Iteration 51300 (1.53927 iter/s, 64.9658s/100 iters), loss = 3.01652
I0518 06:24:05.267307 6025 solver.cpp:237] Train net output #0: loss = 2.47727 (* 1 = 2.47727 loss)
I0518 06:24:05.267345 6025 sgd_solver.cpp:105] Iteration 51300, lr = 0.001
I0518 06:25:10.921377 6025 solver.cpp:218] Iteration 51400 (1.52319 iter/s, 65.6516s/100 iters), loss = 3.0956
I0518 06:25:10.921658 6025 solver.cpp:237] Train net output #0: loss = 4.78956 (* 1 = 4.78956 loss)
I0518 06:25:10.921705 6025 sgd_solver.cpp:105] Iteration 51400, lr = 0.001
I0518 06:26:16.372434 6025 solver.cpp:218] Iteration 51500 (1.52792 iter/s, 65.4483s/100 iters), loss = 3.03713
I0518 06:26:16.376910 6025 solver.cpp:237] Train net output #0: loss = 2.18389 (* 1 = 2.18389 loss)
I0518 06:26:16.376929 6025 sgd_solver.cpp:105] Iteration 51500, lr = 0.001
I0518 06:27:22.344032 6025 solver.cpp:218] Iteration 51600 (1.51596 iter/s, 65.9646s/100 iters), loss = 3.27186
I0518 06:27:22.344319 6025 solver.cpp:237] Train net output #0: loss = 1.91202 (* 1 = 1.91202 loss)
I0518 06:27:22.344365 6025 sgd_solver.cpp:105] Iteration 51600, lr = 0.001
I0518 06:28:28.220722 6025 solver.cpp:218] Iteration 51700 (1.51805 iter/s, 65.8739s/100 iters), loss = 3.248
I0518 06:28:28.222201 6025 solver.cpp:237] Train net output #0: loss = 4.9113 (* 1 = 4.9113 loss)
I0518 06:28:28.222244 6025 sgd_solver.cpp:105] Iteration 51700, lr = 0.001
I0518 06:29:33.829115 6025 solver.cpp:218] Iteration 51800 (1.52429 iter/s, 65.6044s/100 iters), loss = 3.08988
I0518 06:29:33.829437 6025 solver.cpp:237] Train net output #0: loss = 2.87647 (* 1 = 2.87647 loss)
I0518 06:29:33.829485 6025 sgd_solver.cpp:105] Iteration 51800, lr = 0.001
I0518 06:30:39.855180 6025 solver.cpp:218] Iteration 51900 (1.51462 iter/s, 66.0233s/100 iters), loss = 3.2268
I0518 06:30:39.855423 6025 solver.cpp:237] Train net output #0: loss = 2.40747 (* 1 = 2.40747 loss)
I0518 06:30:39.855458 6025 sgd_solver.cpp:105] Iteration 51900, lr = 0.001
I0518 06:31:45.341303 6025 solver.cpp:218] Iteration 52000 (1.5271 iter/s, 65.4834s/100 iters), loss = 3.15398
I0518 06:31:45.341540 6025 solver.cpp:237] Train net output #0: loss = 2.39723 (* 1 = 2.39723 loss)
I0518 06:31:45.341557 6025 sgd_solver.cpp:105] Iteration 52000, lr = 0.001
I0518 06:32:50.657498 6025 solver.cpp:218] Iteration 52100 (1.53108 iter/s, 65.3135s/100 iters), loss = 3.18997
I0518 06:32:50.659432 6025 solver.cpp:237] Train net output #0: loss = 2.86222 (* 1 = 2.86222 loss)
I0518 06:32:50.659476 6025 sgd_solver.cpp:105] Iteration 52100, lr = 0.001
I0518 06:33:55.786064 6025 solver.cpp:218] Iteration 52200 (1.53553 iter/s, 65.1242s/100 iters), loss = 3.16416
I0518 06:33:55.786321 6025 solver.cpp:237] Train net output #0: loss = 2.52041 (* 1 = 2.52041 loss)
I0518 06:33:55.786353 6025 sgd_solver.cpp:105] Iteration 52200, lr = 0.001
I0518 06:35:00.440264 6025 solver.cpp:218] Iteration 52300 (1.54676 iter/s, 64.6515s/100 iters), loss = 3.28008
I0518 06:35:00.440590 6025 solver.cpp:237] Train net output #0: loss = 4.8214 (* 1 = 4.8214 loss)
I0518 06:35:00.440616 6025 sgd_solver.cpp:105] Iteration 52300, lr = 0.001
I0518 06:36:05.518218 6025 solver.cpp:218] Iteration 52400 (1.53668 iter/s, 65.0751s/100 iters), loss = 3.22439
I0518 06:36:05.521306 6025 solver.cpp:237] Train net output #0: loss = 4.33237 (* 1 = 4.33237 loss)
I0518 06:36:05.521328 6025 sgd_solver.cpp:105] Iteration 52400, lr = 0.001
I0518 06:37:10.300936 6025 solver.cpp:218] Iteration 52500 (1.54376 iter/s, 64.7771s/100 iters), loss = 3.19985
I0518 06:37:10.301203 6025 solver.cpp:237] Train net output #0: loss = 4.79769 (* 1 = 4.79769 loss)
I0518 06:37:10.301239 6025 sgd_solver.cpp:105] Iteration 52500, lr = 0.001
I0518 06:38:15.421113 6025 solver.cpp:218] Iteration 52600 (1.53569 iter/s, 65.1174s/100 iters), loss = 3.20812
I0518 06:38:15.421377 6025 solver.cpp:237] Train net output #0: loss = 3.04133 (* 1 = 3.04133 loss)
I0518 06:38:15.421418 6025 sgd_solver.cpp:105] Iteration 52600, lr = 0.001
I0518 06:39:20.423458 6025 solver.cpp:218] Iteration 52700 (1.53847 iter/s, 64.9996s/100 iters), loss = 3.1417
I0518 06:39:20.426563 6025 solver.cpp:237] Train net output #0: loss = 2.72482 (* 1 = 2.72482 loss)
I0518 06:39:20.426607 6025 sgd_solver.cpp:105] Iteration 52700, lr = 0.001
I0518 06:40:25.209229 6025 solver.cpp:218] Iteration 52800 (1.54368 iter/s, 64.7802s/100 iters), loss = 3.05106
I0518 06:40:25.209538 6025 solver.cpp:237] Train net output #0: loss = 2.87374 (* 1 = 2.87374 loss)
I0518 06:40:25.209581 6025 sgd_solver.cpp:105] Iteration 52800, lr = 0.001
I0518 06:41:30.103962 6025 solver.cpp:218] Iteration 52900 (1.54102 iter/s, 64.892s/100 iters), loss = 3.10648
I0518 06:41:30.104230 6025 solver.cpp:237] Train net output #0: loss = 4.7323 (* 1 = 4.7323 loss)
I0518 06:41:30.104264 6025 sgd_solver.cpp:105] Iteration 52900, lr = 0.001
I0518 06:42:35.070986 6025 solver.cpp:218] Iteration 53000 (1.53931 iter/s, 64.9643s/100 iters), loss = 2.98814
I0518 06:42:35.072619 6025 solver.cpp:237] Train net output #0: loss = 2.42686 (* 1 = 2.42686 loss)
I0518 06:42:35.072639 6025 sgd_solver.cpp:105] Iteration 53000, lr = 0.001
I0518 06:43:40.413085 6025 solver.cpp:218] Iteration 53100 (1.5305 iter/s, 65.338s/100 iters), loss = 3.09805
I0518 06:43:40.413301 6025 solver.cpp:237] Train net output #0: loss = 2.56326 (* 1 = 2.56326 loss)
I0518 06:43:40.413319 6025 sgd_solver.cpp:105] Iteration 53100, lr = 0.001
I0518 06:44:46.081838 6025 solver.cpp:218] Iteration 53200 (1.52286 iter/s, 65.666s/100 iters), loss = 3.01929
I0518 06:44:46.082996 6025 solver.cpp:237] Train net output #0: loss = 2.54438 (* 1 = 2.54438 loss)
I0518 06:44:46.083036 6025 sgd_solver.cpp:105] Iteration 53200, lr = 0.001
I0518 06:45:51.875385 6025 solver.cpp:218] Iteration 53300 (1.51999 iter/s, 65.7899s/100 iters), loss = 3.27546
I0518 06:45:51.875627 6025 solver.cpp:237] Train net output #0: loss = 4.95391 (* 1 = 4.95391 loss)
I0518 06:45:51.875644 6025 sgd_solver.cpp:105] Iteration 53300, lr = 0.001
I0518 06:46:58.158931 6025 solver.cpp:218] Iteration 53400 (1.50873 iter/s, 66.2808s/100 iters), loss = 3.22651
I0518 06:46:58.159188 6025 solver.cpp:237] Train net output #0: loss = 2.90575 (* 1 = 2.90575 loss)
I0518 06:46:58.159216 6025 sgd_solver.cpp:105] Iteration 53400, lr = 0.001
I0518 06:48:04.360586 6025 solver.cpp:218] Iteration 53500 (1.5106 iter/s, 66.1989s/100 iters), loss = 3.38637
I0518 06:48:04.360852 6025 solver.cpp:237] Train net output #0: loss = 3.08142 (* 1 = 3.08142 loss)
I0518 06:48:04.360880 6025 sgd_solver.cpp:105] Iteration 53500, lr = 0.001
I0518 06:49:10.658191 6025 solver.cpp:218] Iteration 53600 (1.50841 iter/s, 66.2948s/100 iters), loss = 3.10653
I0518 06:49:10.658474 6025 solver.cpp:237] Train net output #0: loss = 2.93062 (* 1 = 2.93062 loss)
I0518 06:49:10.658516 6025 sgd_solver.cpp:105] Iteration 53600, lr = 0.001
I0518 06:50:16.731075 6025 solver.cpp:218] Iteration 53700 (1.51354 iter/s, 66.0701s/100 iters), loss = 3.21914
I0518 06:50:16.731441 6025 solver.cpp:237] Train net output #0: loss = 2.33619 (* 1 = 2.33619 loss)
I0518 06:50:16.731459 6025 sgd_solver.cpp:105] Iteration 53700, lr = 0.001
I0518 06:51:22.456962 6025 solver.cpp:218] Iteration 53800 (1.52154 iter/s, 65.723s/100 iters), loss = 3.29693
I0518 06:51:22.460343 6025 solver.cpp:237] Train net output #0: loss = 2.4671 (* 1 = 2.4671 loss)
I0518 06:51:22.460379 6025 sgd_solver.cpp:105] Iteration 53800, lr = 0.001
I0518 06:52:28.285056 6025 solver.cpp:218] Iteration 53900 (1.51924 iter/s, 65.8222s/100 iters), loss = 2.96304
I0518 06:52:28.285662 6025 solver.cpp:237] Train net output #0: loss = 2.31444 (* 1 = 2.31444 loss)
I0518 06:52:28.285684 6025 sgd_solver.cpp:105] Iteration 53900, lr = 0.001
I0518 06:53:34.118208 6025 solver.cpp:218] Iteration 54000 (1.51906 iter/s, 65.83s/100 iters), loss = 3.40248
I0518 06:53:34.118522 6025 solver.cpp:237] Train net output #0: loss = 4.92014 (* 1 = 4.92014 loss)
I0518 06:53:34.118566 6025 sgd_solver.cpp:105] Iteration 54000, lr = 0.001
I0518 06:54:40.159505 6025 solver.cpp:218] Iteration 54100 (1.51427 iter/s, 66.0385s/100 iters), loss = 3.29458
I0518 06:54:40.159754 6025 solver.cpp:237] Train net output #0: loss = 5.14816 (* 1 = 5.14816 loss)
I0518 06:54:40.159787 6025 sgd_solver.cpp:105] Iteration 54100, lr = 0.001
I0518 06:55:45.878907 6025 solver.cpp:218] Iteration 54200 (1.52168 iter/s, 65.7167s/100 iters), loss = 3.12699
I0518 06:55:45.879139 6025 solver.cpp:237] Train net output #0: loss = 2.47271 (* 1 = 2.47271 loss)
I0518 06:55:45.879156 6025 sgd_solver.cpp:105] Iteration 54200, lr = 0.001
I0518 06:56:51.556565 6025 solver.cpp:218] Iteration 54300 (1.52265 iter/s, 65.6749s/100 iters), loss = 3.2395
I0518 06:56:51.556833 6025 solver.cpp:237] Train net output #0: loss = 2.23961 (* 1 = 2.23961 loss)
I0518 06:56:51.556867 6025 sgd_solver.cpp:105] Iteration 54300, lr = 0.001
I0518 06:57:56.632661 6025 solver.cpp:218] Iteration 54400 (1.53673 iter/s, 65.0734s/100 iters), loss = 3.21917
I0518 06:57:56.643288 6025 solver.cpp:237] Train net output #0: loss = 2.56461 (* 1 = 2.56461 loss)
I0518 06:57:56.643309 6025 sgd_solver.cpp:105] Iteration 54400, lr = 0.001
I0518 06:59:02.138578 6025 solver.cpp:218] Iteration 54500 (1.52689 iter/s, 65.4928s/100 iters), loss = 3.24817
I0518 06:59:02.141289 6025 solver.cpp:237] Train net output #0: loss = 4.70456 (* 1 = 4.70456 loss)
I0518 06:59:02.141314 6025 sgd_solver.cpp:105] Iteration 54500, lr = 0.001
I0518 07:00:07.955235 6025 solver.cpp:218] Iteration 54600 (1.51949 iter/s, 65.8114s/100 iters), loss = 3.18017
I0518 07:00:07.955484 6025 solver.cpp:237] Train net output #0: loss = 4.86419 (* 1 = 4.86419 loss)
I0518 07:00:07.955503 6025 sgd_solver.cpp:105] Iteration 54600, lr = 0.001
I0518 07:01:11.585299 6025 solver.cpp:218] Iteration 54700 (1.57165 iter/s, 63.6274s/100 iters), loss = 3.50066
I0518 07:01:11.586949 6025 solver.cpp:237] Train net output #0: loss = 4.89044 (* 1 = 4.89044 loss)
I0518 07:01:11.586992 6025 sgd_solver.cpp:105] Iteration 54700, lr = 0.001
I0518 07:02:15.765450 6025 solver.cpp:218] Iteration 54800 (1.55821 iter/s, 64.1761s/100 iters), loss = 3.25637
I0518 07:02:15.765743 6025 solver.cpp:237] Train net output #0: loss = 4.78794 (* 1 = 4.78794 loss)
I0518 07:02:15.765785 6025 sgd_solver.cpp:105] Iteration 54800, lr = 0.001
I0518 07:03:20.065078 6025 solver.cpp:218] Iteration 54900 (1.55528 iter/s, 64.2969s/100 iters), loss = 3.01988
I0518 07:03:20.065291 6025 solver.cpp:237] Train net output #0: loss = 2.66312 (* 1 = 2.66312 loss)
I0518 07:03:20.065310 6025 sgd_solver.cpp:105] Iteration 54900, lr = 0.001
I0518 07:04:24.198051 6025 solver.cpp:218] Iteration 55000 (1.55932 iter/s, 64.1303s/100 iters), loss = 3.23273
I0518 07:04:24.198359 6025 solver.cpp:237] Train net output #0: loss = 4.78503 (* 1 = 4.78503 loss)
I0518 07:04:24.198406 6025 sgd_solver.cpp:105] Iteration 55000, lr = 0.001
I0518 07:05:28.294172 6025 solver.cpp:218] Iteration 55100 (1.56022 iter/s, 64.0934s/100 iters), loss = 3.41446
I0518 07:05:28.294471 6025 solver.cpp:237] Train net output #0: loss = 2.16553 (* 1 = 2.16553 loss)
I0518 07:05:28.294499 6025 sgd_solver.cpp:105] Iteration 55100, lr = 0.001
I0518 07:06:32.933807 6025 solver.cpp:218] Iteration 55200 (1.5471 iter/s, 64.6369s/100 iters), loss = 3.00144
I0518 07:06:32.935233 6025 solver.cpp:237] Train net output #0: loss = 4.74895 (* 1 = 4.74895 loss)
I0518 07:06:32.935251 6025 sgd_solver.cpp:105] Iteration 55200, lr = 0.001
I0518 07:07:38.861699 6025 solver.cpp:218] Iteration 55300 (1.5169 iter/s, 65.9239s/100 iters), loss = 3.21969
I0518 07:07:38.862112 6025 solver.cpp:237] Train net output #0: loss = 2.60431 (* 1 = 2.60431 loss)
I0518 07:07:38.862129 6025 sgd_solver.cpp:105] Iteration 55300, lr = 0.001
I0518 07:08:44.707134 6025 solver.cpp:218] Iteration 55400 (1.51878 iter/s, 65.8425s/100 iters), loss = 3.0807
I0518 07:08:44.707407 6025 solver.cpp:237] Train net output #0: loss = 2.4592 (* 1 = 2.4592 loss)
I0518 07:08:44.707435 6025 sgd_solver.cpp:105] Iteration 55400, lr = 0.001
I0518 07:09:49.870940 6025 solver.cpp:218] Iteration 55500 (1.53466 iter/s, 65.161s/100 iters), loss = 3.26007
I0518 07:09:49.871155 6025 solver.cpp:237] Train net output #0: loss = 3.10291 (* 1 = 3.10291 loss)
I0518 07:09:49.871173 6025 sgd_solver.cpp:105] Iteration 55500, lr = 0.001
I0518 07:10:55.176976 6025 solver.cpp:218] Iteration 55600 (1.53132 iter/s, 65.3033s/100 iters), loss = 3.18861
I0518 07:10:55.177223 6025 solver.cpp:237] Train net output #0: loss = 2.71022 (* 1 = 2.71022 loss)
I0518 07:10:55.177259 6025 sgd_solver.cpp:105] Iteration 55600, lr = 0.001
I0518 07:12:00.570933 6025 solver.cpp:218] Iteration 55700 (1.52926 iter/s, 65.3912s/100 iters), loss = 3.08392
I0518 07:12:00.571283 6025 solver.cpp:237] Train net output #0: loss = 2.25133 (* 1 = 2.25133 loss)
I0518 07:12:00.571328 6025 sgd_solver.cpp:105] Iteration 55700, lr = 0.001
I0518 07:13:05.832243 6025 solver.cpp:218] Iteration 55800 (1.53237 iter/s, 65.2585s/100 iters), loss = 2.93846
I0518 07:13:05.832512 6025 solver.cpp:237] Train net output #0: loss = 2.76653 (* 1 = 2.76653 loss)
I0518 07:13:05.832547 6025 sgd_solver.cpp:105] Iteration 55800, lr = 0.001
I0518 07:14:11.261970 6025 solver.cpp:218] Iteration 55900 (1.52842 iter/s, 65.4269s/100 iters), loss = 3.03061
I0518 07:14:11.262257 6025 solver.cpp:237] Train net output #0: loss = 3.13333 (* 1 = 3.13333 loss)
I0518 07:14:11.262286 6025 sgd_solver.cpp:105] Iteration 55900, lr = 0.001
I0518 07:15:16.947162 6025 solver.cpp:218] Iteration 56000 (1.52248 iter/s, 65.6824s/100 iters), loss = 3.03938
I0518 07:15:16.947401 6025 solver.cpp:237] Train net output #0: loss = 2.34714 (* 1 = 2.34714 loss)
I0518 07:15:16.947454 6025 sgd_solver.cpp:105] Iteration 56000, lr = 0.001
I0518 07:15:48.434798 6025 solver.cpp:447] Snapshotting to binary proto file snapshot/ft_all_iter_56049.caffemodel
I0518 07:15:49.006031 6025 sgd_solver.cpp:273] Snapshotting solver state to binary proto file snapshot/ft_all_iter_56049.solverstate
I0518 07:15:49.084513 6025 solver.cpp:330] Iteration 56049, Testing net (#0)
I0518 07:17:56.585341 6073 data_layer.cpp:73] Restarting data prefetching from start.
I0518 07:17:56.868494 6025 solver.cpp:397] Test net output #0: accuracy = 0.348605
I0518 07:17:56.868574 6025 solver.cpp:397] Test net output #1: loss = 2.9323 (* 1 = 2.9323 loss)
I0518 07:18:30.848475 6025 solver.cpp:218] Iteration 56100 (0.515746 iter/s, 193.894s/100 iters), loss = 3.0893
I0518 07:18:30.848767 6025 solver.cpp:237] Train net output #0: loss = 2.30835 (* 1 = 2.30835 loss)
I0518 07:18:30.848819 6025 sgd_solver.cpp:105] Iteration 56100, lr = 0.001
I0518 07:19:36.079150 6025 solver.cpp:218] Iteration 56200 (1.53309 iter/s, 65.2279s/100 iters), loss = 3.16772
I0518 07:19:36.079488 6025 solver.cpp:237] Train net output #0: loss = 2.49606 (* 1 = 2.49606 loss)
I0518 07:19:36.079520 6025 sgd_solver.cpp:105] Iteration 56200, lr = 0.001
I0518 07:20:42.159222 6025 solver.cpp:218] Iteration 56300 (1.51338 iter/s, 66.0772s/100 iters), loss = 3.13958
I0518 07:20:42.159515 6025 solver.cpp:237] Train net output #0: loss = 2.62208 (* 1 = 2.62208 loss)
I0518 07:20:42.159548 6025 sgd_solver.cpp:105] Iteration 56300, lr = 0.001
I0518 07:21:48.034443 6025 solver.cpp:218] Iteration 56400 (1.51809 iter/s, 65.8724s/100 iters), loss = 3.1437
I0518 07:21:48.034713 6025 solver.cpp:237] Train net output #0: loss = 2.44021 (* 1 = 2.44021 loss)
I0518 07:21:48.034732 6025 sgd_solver.cpp:105] Iteration 56400, lr = 0.001
I0518 07:22:54.007081 6025 solver.cpp:218] Iteration 56500 (1.51584 iter/s, 65.9698s/100 iters), loss = 3.25652
I0518 07:22:54.007414 6025 solver.cpp:237] Train net output #0: loss = 2.26181 (* 1 = 2.26181 loss)
I0518 07:22:54.007462 6025 sgd_solver.cpp:105] Iteration 56500, lr = 0.001
I0518 07:23:59.726887 6025 solver.cpp:218] Iteration 56600 (1.52168 iter/s, 65.717s/100 iters), loss = 3.17791
I0518 07:23:59.727946 6025 solver.cpp:237] Train net output #0: loss = 2.96799 (* 1 = 2.96799 loss)
I0518 07:23:59.727980 6025 sgd_solver.cpp:105] Iteration 56600, lr = 0.001
I0518 07:25:06.035326 6025 solver.cpp:218] Iteration 56700 (1.50818 iter/s, 66.3049s/100 iters), loss = 3.13358
I0518 07:25:06.035678 6025 solver.cpp:237] Train net output #0: loss = 2.23507 (* 1 = 2.23507 loss)
I0518 07:25:06.035699 6025 sgd_solver.cpp:105] Iteration 56700, lr = 0.001
I0518 07:26:12.442219 6025 solver.cpp:218] Iteration 56800 (1.50593 iter/s, 66.404s/100 iters), loss = 3.08158
I0518 07:26:12.443691 6025 solver.cpp:237] Train net output #0: loss = 2.06841 (* 1 = 2.06841 loss)
I0518 07:26:12.443733 6025 sgd_solver.cpp:105] Iteration 56800, lr = 0.001
I0518 07:27:18.660615 6025 solver.cpp:218] Iteration 56900 (1.51024 iter/s, 66.2144s/100 iters), loss = 3.21879
I0518 07:27:18.660935 6025 solver.cpp:237] Train net output #0: loss = 2.58691 (* 1 = 2.58691 loss)
I0518 07:27:18.660990 6025 sgd_solver.cpp:105] Iteration 56900, lr = 0.001
I0518 07:28:24.320199 6025 solver.cpp:218] Iteration 57000 (1.52307 iter/s, 65.6568s/100 iters), loss = 3.06402
I0518 07:28:24.320528 6025 solver.cpp:237] Train net output #0: loss = 4.90857 (* 1 = 4.90857 loss)
I0518 07:28:24.320582 6025 sgd_solver.cpp:105] Iteration 57000, lr = 0.001
I0518 07:29:29.908665 6025 solver.cpp:218] Iteration 57100 (1.52472 iter/s, 65.5857s/100 iters), loss = 3.17915
I0518 07:29:29.908891 6025 solver.cpp:237] Train net output #0: loss = 2.22861 (* 1 = 2.22861 loss)
I0518 07:29:29.908918 6025 sgd_solver.cpp:105] Iteration 57100, lr = 0.001
I0518 07:30:36.047763 6025 solver.cpp:218] Iteration 57200 (1.51203 iter/s, 66.1363s/100 iters), loss = 3.21936
I0518 07:30:36.049651 6025 solver.cpp:237] Train net output #0: loss = 4.79979 (* 1 = 4.79979 loss)
I0518 07:30:36.049695 6025 sgd_solver.cpp:105] Iteration 57200, lr = 0.001
I0518 07:31:41.990473 6025 solver.cpp:218] Iteration 57300 (1.51657 iter/s, 65.9383s/100 iters), loss = 3.18357
I0518 07:31:41.990789 6025 solver.cpp:237] Train net output #0: loss = 2.92056 (* 1 = 2.92056 loss)
I0518 07:31:41.990805 6025 sgd_solver.cpp:105] Iteration 57300, lr = 0.001
I0518 07:32:47.597810 6025 solver.cpp:218] Iteration 57400 (1.52429 iter/s, 65.6045s/100 iters), loss = 3.22769
I0518 07:32:47.598839 6025 solver.cpp:237] Train net output #0: loss = 2.68787 (* 1 = 2.68787 loss)
I0518 07:32:47.598858 6025 sgd_solver.cpp:105] Iteration 57400, lr = 0.001
I0518 07:33:52.732136 6025 solver.cpp:218] Iteration 57500 (1.53537 iter/s, 65.1308s/100 iters), loss = 3.14382
I0518 07:33:52.732385 6025 solver.cpp:237] Train net output #0: loss = 2.37936 (* 1 = 2.37936 loss)
I0518 07:33:52.732404 6025 sgd_solver.cpp:105] Iteration 57500, lr = 0.001
I0518 07:34:58.166215 6025 solver.cpp:218] Iteration 57600 (1.52832 iter/s, 65.4313s/100 iters), loss = 3.33798
I0518 07:34:58.166417 6025 solver.cpp:237] Train net output #0: loss = 2.28895 (* 1 = 2.28895 loss)
I0518 07:34:58.166441 6025 sgd_solver.cpp:105] Iteration 57600, lr = 0.001
I0518 07:36:03.774029 6025 solver.cpp:218] Iteration 57700 (1.52427 iter/s, 65.605s/100 iters), loss = 3.18169
I0518 07:36:03.774358 6025 solver.cpp:237] Train net output #0: loss = 4.84211 (* 1 = 4.84211 loss)
I0518 07:36:03.774392 6025 sgd_solver.cpp:105] Iteration 57700, lr = 0.001
I0518 07:37:09.171485 6025 solver.cpp:218] Iteration 57800 (1.52918 iter/s, 65.3946s/100 iters), loss = 3.18785
I0518 07:37:09.173475 6025 solver.cpp:237] Train net output #0: loss = 2.38185 (* 1 = 2.38185 loss)
I0518 07:37:09.173508 6025 sgd_solver.cpp:105] Iteration 57800, lr = 0.001
I0518 07:38:14.931903 6025 solver.cpp:218] Iteration 57900 (1.52078 iter/s, 65.7559s/100 iters), loss = 3.22406
I0518 07:38:14.932142 6025 solver.cpp:237] Train net output #0: loss = 2.25206 (* 1 = 2.25206 loss)
I0518 07:38:14.932168 6025 sgd_solver.cpp:105] Iteration 57900, lr = 0.001
I0518 07:39:20.500572 6025 solver.cpp:218] Iteration 58000 (1.52518 iter/s, 65.566s/100 iters), loss = 3.38238
I0518 07:39:20.501730 6025 solver.cpp:237] Train net output #0: loss = 2.09144 (* 1 = 2.09144 loss)
I0518 07:39:20.501765 6025 sgd_solver.cpp:105] Iteration 58000, lr = 0.001
I0518 07:40:26.589535 6025 solver.cpp:218] Iteration 58100 (1.5132 iter/s, 66.0853s/100 iters), loss = 3.413
I0518 07:40:26.591475 6025 solver.cpp:237] Train net output #0: loss = 4.80917 (* 1 = 4.80917 loss)
I0518 07:40:26.591508 6025 sgd_solver.cpp:105] Iteration 58100, lr = 0.001
I0518 07:41:32.828560 6025 solver.cpp:218] Iteration 58200 (1.50979 iter/s, 66.2346s/100 iters), loss = 3.38993
I0518 07:41:32.828814 6025 solver.cpp:237] Train net output #0: loss = 4.7352 (* 1 = 4.7352 loss)
I0518 07:41:32.828845 6025 sgd_solver.cpp:105] Iteration 58200, lr = 0.001
I0518 07:42:39.428035 6025 solver.cpp:218] Iteration 58300 (1.50158 iter/s, 66.5967s/100 iters), loss = 3.27386
I0518 07:42:39.428339 6025 solver.cpp:237] Train net output #0: loss = 4.65927 (* 1 = 4.65927 loss)
I0518 07:42:39.428386 6025 sgd_solver.cpp:105] Iteration 58300, lr = 0.001
I0518 07:43:45.944707 6025 solver.cpp:218] Iteration 58400 (1.50345 iter/s, 66.5139s/100 iters), loss = 3.08755
I0518 07:43:45.944986 6025 solver.cpp:237] Train net output #0: loss = 4.70846 (* 1 = 4.70846 loss)
I0518 07:43:45.945029 6025 sgd_solver.cpp:105] Iteration 58400, lr = 0.001
I0518 07:44:52.602763 6025 solver.cpp:218] Iteration 58500 (1.50026 iter/s, 66.6553s/100 iters), loss = 3.18114
I0518 07:44:52.603065 6025 solver.cpp:237] Train net output #0: loss = 2.76661 (* 1 = 2.76661 loss)
I0518 07:44:52.603108 6025 sgd_solver.cpp:105] Iteration 58500, lr = 0.001
I0518 07:45:58.255625 6025 solver.cpp:218] Iteration 58600 (1.52323 iter/s, 65.6501s/100 iters), loss = 3.11408
I0518 07:45:58.255949 6025 solver.cpp:237] Train net output #0: loss = 2.21117 (* 1 = 2.21117 loss)
I0518 07:45:58.255988 6025 sgd_solver.cpp:105] Iteration 58600, lr = 0.001
I0518 07:47:04.447069 6025 solver.cpp:218] Iteration 58700 (1.51083 iter/s, 66.1886s/100 iters), loss = 3.03841
I0518 07:47:04.447373 6025 solver.cpp:237] Train net output #0: loss = 2.23144 (* 1 = 2.23144 loss)
I0518 07:47:04.447417 6025 sgd_solver.cpp:105] Iteration 58700, lr = 0.001
I0518 07:48:10.122187 6025 solver.cpp:218] Iteration 58800 (1.52271 iter/s, 65.6723s/100 iters), loss = 3.23895
I0518 07:48:10.122439 6025 solver.cpp:237] Train net output #0: loss = 4.82486 (* 1 = 4.82486 loss)
I0518 07:48:10.122474 6025 sgd_solver.cpp:105] Iteration 58800, lr = 0.001
I0518 07:49:15.906250 6025 solver.cpp:218] Iteration 58900 (1.52019 iter/s, 65.7813s/100 iters), loss = 3.15339
I0518 07:49:15.906553 6025 solver.cpp:237] Train net output #0: loss = 2.25876 (* 1 = 2.25876 loss)
I0518 07:49:15.906595 6025 sgd_solver.cpp:105] Iteration 58900, lr = 0.001
I0518 07:50:21.453076 6025 solver.cpp:218] Iteration 59000 (1.52569 iter/s, 65.544s/100 iters), loss = 3.05583
I0518 07:50:21.453330 6025 solver.cpp:237] Train net output #0: loss = 2.2535 (* 1 = 2.2535 loss)
I0518 07:50:21.453366 6025 sgd_solver.cpp:105] Iteration 59000, lr = 0.001
I0518 07:51:27.364167 6025 solver.cpp:218] Iteration 59100 (1.51726 iter/s, 65.9083s/100 iters), loss = 3.0873
I0518 07:51:27.364522 6025 solver.cpp:237] Train net output #0: loss = 3.0375 (* 1 = 3.0375 loss)
I0518 07:51:27.364558 6025 sgd_solver.cpp:105] Iteration 59100, lr = 0.001
I0518 07:52:33.330950 6025 solver.cpp:218] Iteration 59200 (1.51598 iter/s, 65.9639s/100 iters), loss = 3.06508
I0518 07:52:33.331207 6025 solver.cpp:237] Train net output #0: loss = 4.76009 (* 1 = 4.76009 loss)
I0518 07:52:33.331252 6025 sgd_solver.cpp:105] Iteration 59200, lr = 0.001
I0518 07:53:38.609949 6025 solver.cpp:218] Iteration 59300 (1.53195 iter/s, 65.2763s/100 iters), loss = 2.9571
I0518 07:53:38.610198 6025 solver.cpp:237] Train net output #0: loss = 2.91073 (* 1 = 2.91073 loss)
I0518 07:53:38.610225 6025 sgd_solver.cpp:105] Iteration 59300, lr = 0.001
I0518 07:54:44.043547 6025 solver.cpp:218] Iteration 59400 (1.52833 iter/s, 65.4309s/100 iters), loss = 3.20997
I0518 07:54:44.048264 6025 solver.cpp:237] Train net output #0: loss = 4.81587 (* 1 = 4.81587 loss)
I0518 07:54:44.048285 6025 sgd_solver.cpp:105] Iteration 59400, lr = 0.001
I0518 07:55:49.480218 6025 solver.cpp:218] Iteration 59500 (1.52836 iter/s, 65.4295s/100 iters), loss = 3.10766
I0518 07:55:49.480521 6025 solver.cpp:237] Train net output #0: loss = 2.95135 (* 1 = 2.95135 loss)
I0518 07:55:49.480567 6025 sgd_solver.cpp:105] Iteration 59500, lr = 0.001
I0518 07:56:55.553694 6025 solver.cpp:218] Iteration 59600 (1.51353 iter/s, 66.0707s/100 iters), loss = 3.09845
I0518 07:56:55.554407 6025 solver.cpp:237] Train net output #0: loss = 4.7217 (* 1 = 4.7217 loss)
I0518 07:56:55.554438 6025 sgd_solver.cpp:105] Iteration 59600, lr = 0.001
I0518 07:58:01.705258 6025 solver.cpp:218] Iteration 59700 (1.51175 iter/s, 66.1484s/100 iters), loss = 3.0292
I0518 07:58:01.707814 6025 solver.cpp:237] Train net output #0: loss = 2.54641 (* 1 = 2.54641 loss)
I0518 07:58:01.707840 6025 sgd_solver.cpp:105] Iteration 59700, lr = 0.001
I0518 07:59:07.653393 6025 solver.cpp:218] Iteration 59800 (1.51646 iter/s, 65.943s/100 iters), loss = 3.05957
I0518 07:59:07.653653 6025 solver.cpp:237] Train net output #0: loss = 2.72451 (* 1 = 2.72451 loss)
I0518 07:59:07.653679 6025 sgd_solver.cpp:105] Iteration 59800, lr = 0.001
I0518 08:00:13.687566 6025 solver.cpp:218] Iteration 59900 (1.51443 iter/s, 66.0314s/100 iters), loss = 3.11754
I0518 08:00:13.687762 6025 solver.cpp:237] Train net output #0: loss = 2.35515 (* 1 = 2.35515 loss)
I0518 08:00:13.687778 6025 sgd_solver.cpp:105] Iteration 59900, lr = 0.001
I0518 08:01:20.121376 6025 solver.cpp:218] Iteration 60000 (1.50532 iter/s, 66.4311s/100 iters), loss = 3.02113
I0518 08:01:20.122611 6025 solver.cpp:237] Train net output #0: loss = 2.49742 (* 1 = 2.49742 loss)
I0518 08:01:20.122629 6025 sgd_solver.cpp:105] Iteration 60000, lr = 0.001
I0518 08:02:25.921602 6025 solver.cpp:218] Iteration 60100 (1.51984 iter/s, 65.7965s/100 iters), loss = 3.15554
I0518 08:02:25.923647 6025 solver.cpp:237] Train net output #0: loss = 4.79886 (* 1 = 4.79886 loss)
I0518 08:02:25.923667 6025 sgd_solver.cpp:105] Iteration 60100, lr = 0.001
I0518 08:03:31.423799 6025 solver.cpp:218] Iteration 60200 (1.52677 iter/s, 65.4977s/100 iters), loss = 3.23115
I0518 08:03:31.424016 6025 solver.cpp:237] Train net output #0: loss = 4.65579 (* 1 = 4.65579 loss)
I0518 08:03:31.424036 6025 sgd_solver.cpp:105] Iteration 60200, lr = 0.001
I0518 08:04:37.407040 6025 solver.cpp:218] Iteration 60300 (1.5156 iter/s, 65.9805s/100 iters), loss = 3.32886
I0518 08:04:37.407765 6025 solver.cpp:237] Train net output #0: loss = 2.63293 (* 1 = 2.63293 loss)
I0518 08:04:37.407788 6025 sgd_solver.cpp:105] Iteration 60300, lr = 0.001
I0518 08:05:42.793206 6025 solver.cpp:218] Iteration 60400 (1.52945 iter/s, 65.383s/100 iters), loss = 3.15416
I0518 08:05:42.794273 6025 solver.cpp:237] Train net output #0: loss = 2.10304 (* 1 = 2.10304 loss)
I0518 08:05:42.794301 6025 sgd_solver.cpp:105] Iteration 60400, lr = 0.001
I0518 08:06:48.032780 6025 solver.cpp:218] Iteration 60500 (1.5329 iter/s, 65.236s/100 iters), loss = 3.07426
I0518 08:06:48.033083 6025 solver.cpp:237] Train net output #0: loss = 2.75796 (* 1 = 2.75796 loss)
I0518 08:06:48.033112 6025 sgd_solver.cpp:105] Iteration 60500, lr = 0.001
I0518 08:07:53.289889 6025 solver.cpp:218] Iteration 60600 (1.53247 iter/s, 65.2543s/100 iters), loss = 3.12022
I0518 08:07:53.293718 6025 solver.cpp:237] Train net output #0: loss = 2.51208 (* 1 = 2.51208 loss)
I0518 08:07:53.293761 6025 sgd_solver.cpp:105] Iteration 60600, lr = 0.001
I0518 08:08:58.434794 6025 solver.cpp:218] Iteration 60700 (1.53519 iter/s, 65.1386s/100 iters), loss = 3.21904
I0518 08:08:58.435004 6025 solver.cpp:237] Train net output #0: loss = 2.97182 (* 1 = 2.97182 loss)
I0518 08:08:58.435020 6025 sgd_solver.cpp:105] Iteration 60700, lr = 0.001
I0518 08:10:03.914722 6025 solver.cpp:218] Iteration 60800 (1.52725 iter/s, 65.4772s/100 iters), loss = 2.95571
I0518 08:10:03.915143 6025 solver.cpp:237] Train net output #0: loss = 2.07424 (* 1 = 2.07424 loss)
I0518 08:10:03.915184 6025 sgd_solver.cpp:105] Iteration 60800, lr = 0.001
I0518 08:11:09.523294 6025 solver.cpp:218] Iteration 60900 (1.52426 iter/s, 65.6057s/100 iters), loss = 2.97799
I0518 08:11:09.524212 6025 solver.cpp:237] Train net output #0: loss = 4.90731 (* 1 = 4.90731 loss)
I0518 08:11:09.524264 6025 sgd_solver.cpp:105] Iteration 60900, lr = 0.001
I0518 08:12:15.051818 6025 solver.cpp:218] Iteration 61000 (1.52613 iter/s, 65.5251s/100 iters), loss = 2.9778
I0518 08:12:15.054543 6025 solver.cpp:237] Train net output #0: loss = 4.85969 (* 1 = 4.85969 loss)
I0518 08:12:15.054564 6025 sgd_solver.cpp:105] Iteration 61000, lr = 0.001
I0518 08:13:20.287194 6025 solver.cpp:218] Iteration 61100 (1.53303 iter/s, 65.2301s/100 iters), loss = 3.17451
I0518 08:13:20.287467 6025 solver.cpp:237] Train net output #0: loss = 2.80928 (* 1 = 2.80928 loss)
I0518 08:13:20.287497 6025 sgd_solver.cpp:105] Iteration 61100, lr = 0.001
I0518 08:14:25.700968 6025 solver.cpp:218] Iteration 61200 (1.52879 iter/s, 65.411s/100 iters), loss = 3.13409
I0518 08:14:25.702276 6025 solver.cpp:237] Train net output #0: loss = 4.69633 (* 1 = 4.69633 loss)
I0518 08:14:25.702316 6025 sgd_solver.cpp:105] Iteration 61200, lr = 0.001
I0518 08:15:31.372936 6025 solver.cpp:218] Iteration 61300 (1.52281 iter/s, 65.6681s/100 iters), loss = 3.15835
I0518 08:15:31.374203 6025 solver.cpp:237] Train net output #0: loss = 2.66679 (* 1 = 2.66679 loss)
I0518 08:15:31.374245 6025 sgd_solver.cpp:105] Iteration 61300, lr = 0.001
I0518 08:16:36.667443 6025 solver.cpp:218] Iteration 61400 (1.53161 iter/s, 65.2908s/100 iters), loss = 3.06106
I0518 08:16:36.667800 6025 solver.cpp:237] Train net output #0: loss = 2.66811 (* 1 = 2.66811 loss)
I0518 08:16:36.667819 6025 sgd_solver.cpp:105] Iteration 61400, lr = 0.001
I0518 08:17:42.089200 6025 solver.cpp:218] Iteration 61500 (1.52861 iter/s, 65.4189s/100 iters), loss = 3.16432
I0518 08:17:42.090199 6025 solver.cpp:237] Train net output #0: loss = 2.20209 (* 1 = 2.20209 loss)
I0518 08:17:42.090232 6025 sgd_solver.cpp:105] Iteration 61500, lr = 0.001
I0518 08:18:46.790515 6025 solver.cpp:218] Iteration 61600 (1.54565 iter/s, 64.6978s/100 iters), loss = 3.15758
I0518 08:18:46.790789 6025 solver.cpp:237] Train net output #0: loss = 1.77969 (* 1 = 1.77969 loss)
I0518 08:18:46.790828 6025 sgd_solver.cpp:105] Iteration 61600, lr = 0.001
I0518 08:19:50.813262 6025 solver.cpp:218] Iteration 61700 (1.56201 iter/s, 64.0201s/100 iters), loss = 3.01622
I0518 08:19:50.813573 6025 solver.cpp:237] Train net output #0: loss = 2.43197 (* 1 = 2.43197 loss)
I0518 08:19:50.813623 6025 sgd_solver.cpp:105] Iteration 61700, lr = 0.001
I0518 08:20:55.237603 6025 solver.cpp:218] Iteration 61800 (1.55227 iter/s, 64.4216s/100 iters), loss = 2.98273
I0518 08:20:55.237809 6025 solver.cpp:237] Train net output #0: loss = 4.68043 (* 1 = 4.68043 loss)
I0518 08:20:55.237828 6025 sgd_solver.cpp:105] Iteration 61800, lr = 0.001
I0518 08:21:59.739744 6025 solver.cpp:218] Iteration 61900 (1.5504 iter/s, 64.4995s/100 iters), loss = 3.31174
I0518 08:21:59.740046 6025 solver.cpp:237] Train net output #0: loss = 4.96327 (* 1 = 4.96327 loss)
I0518 08:21:59.740085 6025 sgd_solver.cpp:105] Iteration 61900, lr = 0.001
I0518 08:23:03.879195 6025 solver.cpp:218] Iteration 62000 (1.55917 iter/s, 64.1367s/100 iters), loss = 3.03773
I0518 08:23:03.879426 6025 solver.cpp:237] Train net output #0: loss = 2.30513 (* 1 = 2.30513 loss)
I0518 08:23:03.879457 6025 sgd_solver.cpp:105] Iteration 62000, lr = 0.001
I0518 08:24:07.823294 6025 solver.cpp:218] Iteration 62100 (1.56393 iter/s, 63.9414s/100 iters), loss = 3.01512
I0518 08:24:07.823554 6025 solver.cpp:237] Train net output #0: loss = 2.75891 (* 1 = 2.75891 loss)
I0518 08:24:07.823592 6025 sgd_solver.cpp:105] Iteration 62100, lr = 0.001
I0518 08:25:12.799258 6025 solver.cpp:218] Iteration 62200 (1.5391 iter/s, 64.9732s/100 iters), loss = 3.05772
I0518 08:25:12.799475 6025 solver.cpp:237] Train net output #0: loss = 4.90275 (* 1 = 4.90275 loss)
I0518 08:25:12.799491 6025 sgd_solver.cpp:105] Iteration 62200, lr = 0.001
I0518 08:26:18.551193 6025 solver.cpp:218] Iteration 62300 (1.52093 iter/s, 65.7492s/100 iters), loss = 3.36763
I0518 08:26:18.552042 6025 solver.cpp:237] Train net output #0: loss = 4.9371 (* 1 = 4.9371 loss)
I0518 08:26:18.552074 6025 sgd_solver.cpp:105] Iteration 62300, lr = 0.001
I0518 08:27:23.820039 6025 solver.cpp:218] Iteration 62400 (1.5322 iter/s, 65.2655s/100 iters), loss = 3.01457
I0518 08:27:23.824892 6025 solver.cpp:237] Train net output #0: loss = 4.74137 (* 1 = 4.74137 loss)
I0518 08:27:23.824921 6025 sgd_solver.cpp:105] Iteration 62400, lr = 0.001
I0518 08:28:29.141487 6025 solver.cpp:218] Iteration 62500 (1.53106 iter/s, 65.3141s/100 iters), loss = 2.98517
I0518 08:28:29.141737 6025 solver.cpp:237] Train net output #0: loss = 2.66217 (* 1 = 2.66217 loss)
I0518 08:28:29.141768 6025 sgd_solver.cpp:105] Iteration 62500, lr = 0.001
I0518 08:29:34.555963 6025 solver.cpp:218] Iteration 62600 (1.52878 iter/s, 65.4117s/100 iters), loss = 3.05137
I0518 08:29:34.560875 6025 solver.cpp:237] Train net output #0: loss = 2.20713 (* 1 = 2.20713 loss)
I0518 08:29:34.560923 6025 sgd_solver.cpp:105] Iteration 62600, lr = 0.001
I0518 08:30:39.857403 6025 solver.cpp:218] Iteration 62700 (1.53153 iter/s, 65.294s/100 iters), loss = 3.20591
I0518 08:30:39.859360 6025 solver.cpp:237] Train net output #0: loss = 4.88954 (* 1 = 4.88954 loss)
I0518 08:30:39.859377 6025 sgd_solver.cpp:105] Iteration 62700, lr = 0.001
I0518 08:31:45.341634 6025 solver.cpp:218] Iteration 62800 (1.52719 iter/s, 65.4797s/100 iters), loss = 3.05505
I0518 08:31:45.341930 6025 solver.cpp:237] Train net output #0: loss = 2.78559 (* 1 = 2.78559 loss)
I0518 08:31:45.341979 6025 sgd_solver.cpp:105] Iteration 62800, lr = 0.001
I0518 08:32:50.663374 6025 solver.cpp:218] Iteration 62900 (1.53095 iter/s, 65.3189s/100 iters), loss = 3.18059
I0518 08:32:50.663646 6025 solver.cpp:237] Train net output #0: loss = 4.72495 (* 1 = 4.72495 loss)
I0518 08:32:50.663687 6025 sgd_solver.cpp:105] Iteration 62900, lr = 0.001
I0518 08:33:55.663923 6025 solver.cpp:218] Iteration 63000 (1.53851 iter/s, 64.9978s/100 iters), loss = 2.96505
I0518 08:33:55.664674 6025 solver.cpp:237] Train net output #0: loss = 3.30993 (* 1 = 3.30993 loss)
I0518 08:33:55.664698 6025 sgd_solver.cpp:105] Iteration 63000, lr = 0.001
I0518 08:35:01.134758 6025 solver.cpp:218] Iteration 63100 (1.52747 iter/s, 65.4676s/100 iters), loss = 2.94949
I0518 08:35:01.135007 6025 solver.cpp:237] Train net output #0: loss = 2.07503 (* 1 = 2.07503 loss)
I0518 08:35:01.135048 6025 sgd_solver.cpp:105] Iteration 63100, lr = 0.001
I0518 08:36:06.902632 6025 solver.cpp:218] Iteration 63200 (1.52056 iter/s, 65.7652s/100 iters), loss = 3.27769
I0518 08:36:06.904976 6025 solver.cpp:237] Train net output #0: loss = 2.80285 (* 1 = 2.80285 loss)
I0518 08:36:06.905014 6025 sgd_solver.cpp:105] Iteration 63200, lr = 0.001
I0518 08:37:12.818902 6025 solver.cpp:218] Iteration 63300 (1.51719 iter/s, 65.9114s/100 iters), loss = 3.10455
I0518 08:37:12.819185 6025 solver.cpp:237] Train net output #0: loss = 2.70807 (* 1 = 2.70807 loss)
I0518 08:37:12.819202 6025 sgd_solver.cpp:105] Iteration 63300, lr = 0.001
I0518 08:38:19.393152 6025 solver.cpp:218] Iteration 63400 (1.50215 iter/s, 66.5714s/100 iters), loss = 3.25066
I0518 08:38:19.393427 6025 solver.cpp:237] Train net output #0: loss = 2.57473 (* 1 = 2.57473 loss)
I0518 08:38:19.393476 6025 sgd_solver.cpp:105] Iteration 63400, lr = 0.001
I0518 08:39:25.872824 6025 solver.cpp:218] Iteration 63500 (1.50428 iter/s, 66.4769s/100 iters), loss = 3.02719
I0518 08:39:25.873059 6025 solver.cpp:237] Train net output #0: loss = 2.64075 (* 1 = 2.64075 loss)
I0518 08:39:25.873085 6025 sgd_solver.cpp:105] Iteration 63500, lr = 0.001
I0518 08:40:31.812362 6025 solver.cpp:218] Iteration 63600 (1.5166 iter/s, 65.9368s/100 iters), loss = 3.1573
I0518 08:40:31.812602 6025 solver.cpp:237] Train net output #0: loss = 4.68536 (* 1 = 4.68536 loss)
I0518 08:40:31.812639 6025 sgd_solver.cpp:105] Iteration 63600, lr = 0.001
I0518 08:41:37.695550 6025 solver.cpp:218] Iteration 63700 (1.5179 iter/s, 65.8805s/100 iters), loss = 3.14077
I0518 08:41:37.695806 6025 solver.cpp:237] Train net output #0: loss = 3.29128 (* 1 = 3.29128 loss)
I0518 08:41:37.695832 6025 sgd_solver.cpp:105] Iteration 63700, lr = 0.001
I0518 08:42:43.846451 6025 solver.cpp:218] Iteration 63800 (1.51176 iter/s, 66.1481s/100 iters), loss = 3.15721
I0518 08:42:43.846698 6025 solver.cpp:237] Train net output #0: loss = 4.71083 (* 1 = 4.71083 loss)
I0518 08:42:43.846726 6025 sgd_solver.cpp:105] Iteration 63800, lr = 0.001
I0518 08:43:49.293720 6025 solver.cpp:218] Iteration 63900 (1.52801 iter/s, 65.4445s/100 iters), loss = 3.29968
I0518 08:43:49.293941 6025 solver.cpp:237] Train net output #0: loss = 2.8916 (* 1 = 2.8916 loss)
I0518 08:43:49.293961 6025 sgd_solver.cpp:105] Iteration 63900, lr = 0.001
I0518 08:44:55.005551 6025 solver.cpp:218] Iteration 64000 (1.52186 iter/s, 65.7091s/100 iters), loss = 3.18328
I0518 08:44:55.005841 6025 solver.cpp:237] Train net output #0: loss = 3.22215 (* 1 = 3.22215 loss)
I0518 08:44:55.005888 6025 sgd_solver.cpp:105] Iteration 64000, lr = 0.001
I0518 08:45:31.099018 6025 solver.cpp:447] Snapshotting to binary proto file snapshot/ft_all_iter_64056.caffemodel
I0518 08:45:31.660981 6025 sgd_solver.cpp:273] Snapshotting solver state to binary proto file snapshot/ft_all_iter_64056.solverstate
I0518 08:45:31.764318 6025 solver.cpp:330] Iteration 64056, Testing net (#0)
I0518 08:47:26.433591 6073 data_layer.cpp:73] Restarting data prefetching from start.
I0518 08:47:26.674834 6025 solver.cpp:397] Test net output #0: accuracy = 0.353519
I0518 08:47:26.674993 6025 solver.cpp:397] Test net output #1: loss = 2.90882 (* 1 = 2.90882 loss)
I0518 08:47:54.295511 6025 solver.cpp:218] Iteration 64100 (0.557778 iter/s, 179.283s/100 iters), loss = 3.30392
I0518 08:47:54.295569 6025 solver.cpp:237] Train net output #0: loss = 1.88664 (* 1 = 1.88664 loss)
I0518 08:47:54.295584 6025 sgd_solver.cpp:105] Iteration 64100, lr = 0.001
I0518 08:48:56.028128 6025 solver.cpp:218] Iteration 64200 (1.61995 iter/s, 61.7302s/100 iters), loss = 3.20442
I0518 08:48:56.028887 6025 solver.cpp:237] Train net output #0: loss = 4.81156 (* 1 = 4.81156 loss)
I0518 08:48:56.028908 6025 sgd_solver.cpp:105] Iteration 64200, lr = 0.001
I0518 08:49:58.114765 6025 solver.cpp:218] Iteration 64300 (1.61073 iter/s, 62.0835s/100 iters), loss = 3.37671
I0518 08:49:58.115029 6025 solver.cpp:237] Train net output #0: loss = 4.71078 (* 1 = 4.71078 loss)
I0518 08:49:58.115082 6025 sgd_solver.cpp:105] Iteration 64300, lr = 0.001
I0518 08:51:03.152052 6025 solver.cpp:218] Iteration 64400 (1.53764 iter/s, 65.0345s/100 iters), loss = 3.29729
I0518 08:51:03.153038 6025 solver.cpp:237] Train net output #0: loss = 2.57506 (* 1 = 2.57506 loss)
I0518 08:51:03.153074 6025 sgd_solver.cpp:105] Iteration 64400, lr = 0.001
I0518 08:52:08.661008 6025 solver.cpp:218] Iteration 64500 (1.52659 iter/s, 65.5055s/100 iters), loss = 3.54958
I0518 08:52:08.661275 6025 solver.cpp:237] Train net output #0: loss = 4.81752 (* 1 = 4.81752 loss)
I0518 08:52:08.661321 6025 sgd_solver.cpp:105] Iteration 64500, lr = 0.001
I0518 08:53:14.394531 6025 solver.cpp:218] Iteration 64600 (1.52136 iter/s, 65.7308s/100 iters), loss = 3.27129
I0518 08:53:14.394780 6025 solver.cpp:237] Train net output #0: loss = 2.59 (* 1 = 2.59 loss)
I0518 08:53:14.394817 6025 sgd_solver.cpp:105] Iteration 64600, lr = 0.001
I0518 08:54:19.851338 6025 solver.cpp:218] Iteration 64700 (1.52779 iter/s, 65.4541s/100 iters), loss = 3.37879
I0518 08:54:19.851620 6025 solver.cpp:237] Train net output #0: loss = 3.01459 (* 1 = 3.01459 loss)
I0518 08:54:19.851671 6025 sgd_solver.cpp:105] Iteration 64700, lr = 0.001
I0518 08:55:25.966174 6025 solver.cpp:218] Iteration 64800 (1.51258 iter/s, 66.112s/100 iters), loss = 3.42243
I0518 08:55:25.966414 6025 solver.cpp:237] Train net output #0: loss = 2.94089 (* 1 = 2.94089 loss)
I0518 08:55:25.966430 6025 sgd_solver.cpp:105] Iteration 64800, lr = 0.001
I0518 08:56:32.100131 6025 solver.cpp:218] Iteration 64900 (1.51215 iter/s, 66.1312s/100 iters), loss = 3.29025
I0518 08:56:32.100325 6025 solver.cpp:237] Train net output #0: loss = 4.75028 (* 1 = 4.75028 loss)
I0518 08:56:32.100340 6025 sgd_solver.cpp:105] Iteration 64900, lr = 0.001
I0518 08:57:38.391062 6025 solver.cpp:218] Iteration 65000 (1.50856 iter/s, 66.2882s/100 iters), loss = 3.42049
I0518 08:57:38.391280 6025 solver.cpp:237] Train net output #0: loss = 2.55798 (* 1 = 2.55798 loss)
I0518 08:57:38.391305 6025 sgd_solver.cpp:105] Iteration 65000, lr = 0.001
I0518 08:58:44.908603 6025 solver.cpp:218] Iteration 65100 (1.50342 iter/s, 66.5148s/100 iters), loss = 3.50918
I0518 08:58:44.908782 6025 solver.cpp:237] Train net output #0: loss = 2.80493 (* 1 = 2.80493 loss)
I0518 08:58:44.908797 6025 sgd_solver.cpp:105] Iteration 65100, lr = 0.001
I0518 08:59:51.516017 6025 solver.cpp:218] Iteration 65200 (1.5014 iter/s, 66.6047s/100 iters), loss = 3.42587
I0518 08:59:51.516310 6025 solver.cpp:237] Train net output #0: loss = 2.41809 (* 1 = 2.41809 loss)
I0518 08:59:51.516343 6025 sgd_solver.cpp:105] Iteration 65200, lr = 0.001
I0518 09:00:57.681689 6025 solver.cpp:218] Iteration 65300 (1.51142 iter/s, 66.1629s/100 iters), loss = 3.47745
I0518 09:00:57.682905 6025 solver.cpp:237] Train net output #0: loss = 2.52599 (* 1 = 2.52599 loss)
I0518 09:00:57.682957 6025 sgd_solver.cpp:105] Iteration 65300, lr = 0.001
I0518 09:02:03.694931 6025 solver.cpp:218] Iteration 65400 (1.51493 iter/s, 66.0096s/100 iters), loss = 3.59458
I0518 09:02:03.695247 6025 solver.cpp:237] Train net output #0: loss = 4.82489 (* 1 = 4.82489 loss)
I0518 09:02:03.695294 6025 sgd_solver.cpp:105] Iteration 65400, lr = 0.001
I0518 09:03:09.919821 6025 solver.cpp:218] Iteration 65500 (1.51007 iter/s, 66.2221s/100 iters), loss = 3.41258
I0518 09:03:09.921265 6025 solver.cpp:237] Train net output #0: loss = 2.99601 (* 1 = 2.99601 loss)
I0518 09:03:09.921288 6025 sgd_solver.cpp:105] Iteration 65500, lr = 0.001
I0518 09:04:15.827786 6025 solver.cpp:218] Iteration 65600 (1.51736 iter/s, 65.904s/100 iters), loss = 3.58733
I0518 09:04:15.831953 6025 solver.cpp:237] Train net output #0: loss = 2.54387 (* 1 = 2.54387 loss)
I0518 09:04:15.831974 6025 sgd_solver.cpp:105] Iteration 65600, lr = 0.001
I0518 09:05:21.806381 6025 solver.cpp:218] Iteration 65700 (1.5158 iter/s, 65.9719s/100 iters), loss = 3.33884
I0518 09:05:21.806574 6025 solver.cpp:237] Train net output #0: loss = 4.69715 (* 1 = 4.69715 loss)
I0518 09:05:21.806591 6025 sgd_solver.cpp:105] Iteration 65700, lr = 0.001
I0518 09:06:27.960194 6025 solver.cpp:218] Iteration 65800 (1.51169 iter/s, 66.1511s/100 iters), loss = 3.5935
I0518 09:06:27.962021 6025 solver.cpp:237] Train net output #0: loss = 4.84012 (* 1 = 4.84012 loss)
I0518 09:06:27.962061 6025 sgd_solver.cpp:105] Iteration 65800, lr = 0.001
I0518 09:07:33.939441 6025 solver.cpp:218] Iteration 65900 (1.51573 iter/s, 65.9749s/100 iters), loss = 3.58143
I0518 09:07:33.939790 6025 solver.cpp:237] Train net output #0: loss = 2.69444 (* 1 = 2.69444 loss)
I0518 09:07:33.939846 6025 sgd_solver.cpp:105] Iteration 65900, lr = 0.001
I0518 09:08:40.134766 6025 solver.cpp:218] Iteration 66000 (1.51075 iter/s, 66.1925s/100 iters), loss = 3.53408
I0518 09:08:40.134954 6025 solver.cpp:237] Train net output #0: loss = 4.85084 (* 1 = 4.85084 loss)
I0518 09:08:40.134970 6025 sgd_solver.cpp:105] Iteration 66000, lr = 0.001
I0518 09:09:45.926209 6025 solver.cpp:218] Iteration 66100 (1.52002 iter/s, 65.7887s/100 iters), loss = 3.43742
I0518 09:09:45.927199 6025 solver.cpp:237] Train net output #0: loss = 2.04598 (* 1 = 2.04598 loss)
I0518 09:09:45.927242 6025 sgd_solver.cpp:105] Iteration 66100, lr = 0.001
I0518 09:10:51.917224 6025 solver.cpp:218] Iteration 66200 (1.51544 iter/s, 65.9876s/100 iters), loss = 3.58687
I0518 09:10:51.917488 6025 solver.cpp:237] Train net output #0: loss = 2.12754 (* 1 = 2.12754 loss)
I0518 09:10:51.917520 6025 sgd_solver.cpp:105] Iteration 66200, lr = 0.001
I0518 09:11:58.640908 6025 solver.cpp:218] Iteration 66300 (1.49878 iter/s, 66.7209s/100 iters), loss = 3.59247
I0518 09:11:58.641098 6025 solver.cpp:237] Train net output #0: loss = 4.99241 (* 1 = 4.99241 loss)
I0518 09:11:58.641114 6025 sgd_solver.cpp:105] Iteration 66300, lr = 0.001
I0518 09:13:05.300848 6025 solver.cpp:218] Iteration 66400 (1.50021 iter/s, 66.6572s/100 iters), loss = 3.60598
I0518 09:13:05.301131 6025 solver.cpp:237] Train net output #0: loss = 4.89829 (* 1 = 4.89829 loss)
I0518 09:13:05.301182 6025 sgd_solver.cpp:105] Iteration 66400, lr = 0.001
I0518 09:14:12.289484 6025 solver.cpp:218] Iteration 66500 (1.49285 iter/s, 66.9859s/100 iters), loss = 3.48007
I0518 09:14:12.293725 6025 solver.cpp:237] Train net output #0: loss = 1.85019 (* 1 = 1.85019 loss)
I0518 09:14:12.293746 6025 sgd_solver.cpp:105] Iteration 66500, lr = 0.001
I0518 09:15:19.201714 6025 solver.cpp:218] Iteration 66600 (1.49465 iter/s, 66.9055s/100 iters), loss = 3.62919
I0518 09:15:19.203120 6025 solver.cpp:237] Train net output #0: loss = 4.72913 (* 1 = 4.72913 loss)
I0518 09:15:19.203166 6025 sgd_solver.cpp:105] Iteration 66600, lr = 0.001
I0518 09:16:25.478132 6025 solver.cpp:218] Iteration 66700 (1.50892 iter/s, 66.2725s/100 iters), loss = 3.38857
I0518 09:16:25.478428 6025 solver.cpp:237] Train net output #0: loss = 2.08601 (* 1 = 2.08601 loss)
I0518 09:16:25.478487 6025 sgd_solver.cpp:105] Iteration 66700, lr = 0.001
I0518 09:17:32.466624 6025 solver.cpp:218] Iteration 66800 (1.49286 iter/s, 66.9857s/100 iters), loss = 3.62174
I0518 09:17:32.466923 6025 solver.cpp:237] Train net output #0: loss = 2.89249 (* 1 = 2.89249 loss)
I0518 09:17:32.466979 6025 sgd_solver.cpp:105] Iteration 66800, lr = 0.001
I0518 09:40:18.139200 6025 solver.cpp:218] Iteration 66900 (0.0732265 iter/s, 1365.63s/100 iters), loss = 3.80606
I0518 09:40:18.139366 6025 solver.cpp:237] Train net output #0: loss = 4.86286 (* 1 = 4.86286 loss)
I0518 09:40:18.139381 6025 sgd_solver.cpp:105] Iteration 66900, lr = 0.001
I0518 09:41:22.377724 6025 solver.cpp:218] Iteration 67000 (1.55676 iter/s, 64.2359s/100 iters), loss = 3.7224
I0518 09:41:22.378413 6025 solver.cpp:237] Train net output #0: loss = 4.75459 (* 1 = 4.75459 loss)
I0518 09:41:22.378463 6025 sgd_solver.cpp:105] Iteration 67000, lr = 0.001
I0518 09:42:27.214447 6025 solver.cpp:218] Iteration 67100 (1.54241 iter/s, 64.8335s/100 iters), loss = 3.55902
I0518 09:42:27.214732 6025 solver.cpp:237] Train net output #0: loss = 4.82034 (* 1 = 4.82034 loss)
I0518 09:42:27.214768 6025 sgd_solver.cpp:105] Iteration 67100, lr = 0.001
I0518 09:43:32.395990 6025 solver.cpp:218] Iteration 67200 (1.53424 iter/s, 65.1788s/100 iters), loss = 3.57113
I0518 09:43:32.396234 6025 solver.cpp:237] Train net output #0: loss = 4.73432 (* 1 = 4.73432 loss)
I0518 09:43:32.396250 6025 sgd_solver.cpp:105] Iteration 67200, lr = 0.001
I0518 09:44:37.341358 6025 solver.cpp:218] Iteration 67300 (1.53982 iter/s, 64.9426s/100 iters), loss = 3.63789
I0518 09:44:37.341645 6025 solver.cpp:237] Train net output #0: loss = 4.65313 (* 1 = 4.65313 loss)
I0518 09:44:37.341696 6025 sgd_solver.cpp:105] Iteration 67300, lr = 0.001
I0518 09:45:42.477759 6025 solver.cpp:218] Iteration 67400 (1.5353 iter/s, 65.1336s/100 iters), loss = 3.78248
I0518 09:45:42.478068 6025 solver.cpp:237] Train net output #0: loss = 4.77927 (* 1 = 4.77927 loss)
I0518 09:45:42.478116 6025 sgd_solver.cpp:105] Iteration 67400, lr = 0.001
I0518 09:46:46.202466 6025 solver.cpp:218] Iteration 67500 (1.56932 iter/s, 63.722s/100 iters), loss = 3.62314
I0518 09:46:46.202694 6025 solver.cpp:237] Train net output #0: loss = 3.48438 (* 1 = 3.48438 loss)
I0518 09:46:46.202709 6025 sgd_solver.cpp:105] Iteration 67500, lr = 0.001
I0518 09:47:50.730386 6025 solver.cpp:218] Iteration 67600 (1.54978 iter/s, 64.5252s/100 iters), loss = 3.45173
I0518 09:47:50.730638 6025 solver.cpp:237] Train net output #0: loss = 2.45736 (* 1 = 2.45736 loss)
I0518 09:47:50.730654 6025 sgd_solver.cpp:105] Iteration 67600, lr = 0.001
I0518 09:48:55.596827 6025 solver.cpp:218] Iteration 67700 (1.54169 iter/s, 64.8637s/100 iters), loss = 3.60882
I0518 09:48:55.597115 6025 solver.cpp:237] Train net output #0: loss = 2.23639 (* 1 = 2.23639 loss)
I0518 09:48:55.597159 6025 sgd_solver.cpp:105] Iteration 67700, lr = 0.001
I0518 09:50:01.310952 6025 solver.cpp:218] Iteration 67800 (1.52181 iter/s, 65.7114s/100 iters), loss = 3.46777
I0518 09:50:01.311244 6025 solver.cpp:237] Train net output #0: loss = 4.92179 (* 1 = 4.92179 loss)
I0518 09:50:01.311285 6025 sgd_solver.cpp:105] Iteration 67800, lr = 0.001
I0518 09:51:06.908063 6025 solver.cpp:218] Iteration 67900 (1.52452 iter/s, 65.5944s/100 iters), loss = 3.47461
I0518 09:51:06.908298 6025 solver.cpp:237] Train net output #0: loss = 2.10631 (* 1 = 2.10631 loss)
I0518 09:51:06.908313 6025 sgd_solver.cpp:105] Iteration 67900, lr = 0.001
I0518 09:52:11.483938 6025 solver.cpp:218] Iteration 68000 (1.54863 iter/s, 64.5732s/100 iters), loss = 3.49424
I0518 09:52:11.486455 6025 solver.cpp:237] Train net output #0: loss = 4.82656 (* 1 = 4.82656 loss)
I0518 09:52:11.486475 6025 sgd_solver.cpp:105] Iteration 68000, lr = 0.001
I0518 09:53:15.970288 6025 solver.cpp:218] Iteration 68100 (1.55084 iter/s, 64.4814s/100 iters), loss = 3.5
I0518 09:53:15.970808 6025 solver.cpp:237] Train net output #0: loss = 4.90826 (* 1 = 4.90826 loss)
I0518 09:53:15.970827 6025 sgd_solver.cpp:105] Iteration 68100, lr = 0.001
I0518 09:54:20.761286 6025 solver.cpp:218] Iteration 68200 (1.5435 iter/s, 64.788s/100 iters), loss = 3.56934
I0518 09:54:20.761484 6025 solver.cpp:237] Train net output #0: loss = 3.40857 (* 1 = 3.40857 loss)
I0518 09:54:20.761508 6025 sgd_solver.cpp:105] Iteration 68200, lr = 0.001
I0518 09:55:25.426901 6025 solver.cpp:218] Iteration 68300 (1.54648 iter/s, 64.6629s/100 iters), loss = 3.44097
I0518 09:55:25.427141 6025 solver.cpp:237] Train net output #0: loss = 4.65835 (* 1 = 4.65835 loss)
I0518 09:55:25.427175 6025 sgd_solver.cpp:105] Iteration 68300, lr = 0.001
I0518 09:56:30.239207 6025 solver.cpp:218] Iteration 68400 (1.54298 iter/s, 64.8096s/100 iters), loss = 3.25073
I0518 09:56:30.241216 6025 solver.cpp:237] Train net output #0: loss = 2.39216 (* 1 = 2.39216 loss)
I0518 09:56:30.241245 6025 sgd_solver.cpp:105] Iteration 68400, lr = 0.001
I0518 09:57:34.845899 6025 solver.cpp:218] Iteration 68500 (1.54793 iter/s, 64.6022s/100 iters), loss = 3.43684
I0518 09:57:34.846082 6025 solver.cpp:237] Train net output #0: loss = 4.91044 (* 1 = 4.91044 loss)
I0518 09:57:34.846104 6025 sgd_solver.cpp:105] Iteration 68500, lr = 0.001
I0518 09:58:38.979638 6025 solver.cpp:218] Iteration 68600 (1.55931 iter/s, 64.1311s/100 iters), loss = 3.45702
I0518 09:58:38.979873 6025 solver.cpp:237] Train net output #0: loss = 4.77228 (* 1 = 4.77228 loss)
I0518 09:58:38.979898 6025 sgd_solver.cpp:105] Iteration 68600, lr = 0.001
I0518 09:59:43.301100 6025 solver.cpp:218] Iteration 68700 (1.55476 iter/s, 64.3188s/100 iters), loss = 3.69345
I0518 09:59:43.301291 6025 solver.cpp:237] Train net output #0: loss = 2.57041 (* 1 = 2.57041 loss)
I0518 09:59:43.301307 6025 sgd_solver.cpp:105] Iteration 68700, lr = 0.001
I0518 10:00:47.326081 6025 solver.cpp:218] Iteration 68800 (1.56195 iter/s, 64.0224s/100 iters), loss = 3.38711
I0518 10:00:47.327412 6025 solver.cpp:237] Train net output #0: loss = 3.09182 (* 1 = 3.09182 loss)
I0518 10:00:47.327435 6025 sgd_solver.cpp:105] Iteration 68800, lr = 0.001
I0518 10:01:49.982570 6025 solver.cpp:218] Iteration 68900 (1.5961 iter/s, 62.6528s/100 iters), loss = 3.53516
I0518 10:01:49.982940 6025 solver.cpp:237] Train net output #0: loss = 2.20931 (* 1 = 2.20931 loss)
I0518 10:01:49.982995 6025 sgd_solver.cpp:105] Iteration 68900, lr = 0.001
I0518 10:02:52.705389 6025 solver.cpp:218] Iteration 69000 (1.59438 iter/s, 62.7201s/100 iters), loss = 3.79246
I0518 10:02:52.705690 6025 solver.cpp:237] Train net output #0: loss = 4.78992 (* 1 = 4.78992 loss)
I0518 10:02:52.705746 6025 sgd_solver.cpp:105] Iteration 69000, lr = 0.001
I0518 10:03:55.698412 6025 solver.cpp:218] Iteration 69100 (1.58755 iter/s, 62.9903s/100 iters), loss = 3.64736
I0518 10:03:55.698746 6025 solver.cpp:237] Train net output #0: loss = 4.68934 (* 1 = 4.68934 loss)
I0518 10:03:55.698788 6025 sgd_solver.cpp:105] Iteration 69100, lr = 0.001
I0518 10:04:58.451942 6025 solver.cpp:218] Iteration 69200 (1.59361 iter/s, 62.7508s/100 iters), loss = 3.6636
I0518 10:04:58.453649 6025 solver.cpp:237] Train net output #0: loss = 4.74518 (* 1 = 4.74518 loss)
I0518 10:04:58.453687 6025 sgd_solver.cpp:105] Iteration 69200, lr = 0.001
I0518 10:06:01.127353 6025 solver.cpp:218] Iteration 69300 (1.59563 iter/s, 62.6713s/100 iters), loss = 3.43285
I0518 10:06:01.127660 6025 solver.cpp:237] Train net output #0: loss = 2.45908 (* 1 = 2.45908 loss)
I0518 10:06:01.127705 6025 sgd_solver.cpp:105] Iteration 69300, lr = 0.001
I0518 10:07:04.113917 6025 solver.cpp:218] Iteration 69400 (1.58771 iter/s, 62.9839s/100 iters), loss = 3.60163
I0518 10:07:04.114194 6025 solver.cpp:237] Train net output #0: loss = 2.33594 (* 1 = 2.33594 loss)
I0518 10:07:04.114243 6025 sgd_solver.cpp:105] Iteration 69400, lr = 0.001
I0518 10:08:08.908468 6025 solver.cpp:218] Iteration 69500 (1.5434 iter/s, 64.7918s/100 iters), loss = 3.5538
I0518 10:08:08.908658 6025 solver.cpp:237] Train net output #0: loss = 4.8756 (* 1 = 4.8756 loss)
I0518 10:08:08.908677 6025 sgd_solver.cpp:105] Iteration 69500, lr = 0.001
I0518 10:09:12.756386 6025 solver.cpp:218] Iteration 69600 (1.56629 iter/s, 63.8453s/100 iters), loss = 3.49081
I0518 10:09:12.756587 6025 solver.cpp:237] Train net output #0: loss = 4.58026 (* 1 = 4.58026 loss)
I0518 10:09:12.756610 6025 sgd_solver.cpp:105] Iteration 69600, lr = 0.001
I0518 10:10:18.160346 6025 solver.cpp:218] Iteration 69700 (1.52902 iter/s, 65.4013s/100 iters), loss = 3.76125
I0518 10:10:18.163226 6025 solver.cpp:237] Train net output #0: loss = 4.70585 (* 1 = 4.70585 loss)
I0518 10:10:18.163246 6025 sgd_solver.cpp:105] Iteration 69700, lr = 0.001
I0518 10:11:22.708528 6025 solver.cpp:218] Iteration 69800 (1.54936 iter/s, 64.5428s/100 iters), loss = 3.39642
I0518 10:11:22.712657 6025 solver.cpp:237] Train net output #0: loss = 4.64734 (* 1 = 4.64734 loss)
I0518 10:11:22.712678 6025 sgd_solver.cpp:105] Iteration 69800, lr = 0.001
I0518 10:12:27.245242 6025 solver.cpp:218] Iteration 69900 (1.54966 iter/s, 64.5301s/100 iters), loss = 3.37873
I0518 10:12:27.246415 6025 solver.cpp:237] Train net output #0: loss = 4.87108 (* 1 = 4.87108 loss)
I0518 10:12:27.246434 6025 sgd_solver.cpp:105] Iteration 69900, lr = 0.001
I0518 10:13:31.798430 6025 solver.cpp:218] Iteration 70000 (1.5492 iter/s, 64.5496s/100 iters), loss = 3.41425
I0518 10:13:31.799367 6025 solver.cpp:237] Train net output #0: loss = 2.38691 (* 1 = 2.38691 loss)
I0518 10:13:31.799424 6025 sgd_solver.cpp:105] Iteration 70000, lr = 0.001
I0518 10:14:36.225392 6025 solver.cpp:218] Iteration 70100 (1.55223 iter/s, 64.4236s/100 iters), loss = 3.53939
I0518 10:14:36.225651 6025 solver.cpp:237] Train net output #0: loss = 2.63899 (* 1 = 2.63899 loss)
I0518 10:14:36.225674 6025 sgd_solver.cpp:105] Iteration 70100, lr = 0.001
I0518 10:15:40.731650 6025 solver.cpp:218] Iteration 70200 (1.5503 iter/s, 64.5035s/100 iters), loss = 3.41467
I0518 10:15:40.731956 6025 solver.cpp:237] Train net output #0: loss = 4.66116 (* 1 = 4.66116 loss)
I0518 10:15:40.731994 6025 sgd_solver.cpp:105] Iteration 70200, lr = 0.001
I0518 10:16:45.272426 6025 solver.cpp:218] Iteration 70300 (1.54947 iter/s, 64.538s/100 iters), loss = 3.31965
I0518 10:16:45.272697 6025 solver.cpp:237] Train net output #0: loss = 4.87424 (* 1 = 4.87424 loss)
I0518 10:16:45.272737 6025 sgd_solver.cpp:105] Iteration 70300, lr = 0.001
I0518 10:17:50.305701 6025 solver.cpp:218] Iteration 70400 (1.53774 iter/s, 65.0306s/100 iters), loss = 3.62425
I0518 10:17:50.305985 6025 solver.cpp:237] Train net output #0: loss = 4.70004 (* 1 = 4.70004 loss)
I0518 10:17:50.306030 6025 sgd_solver.cpp:105] Iteration 70400, lr = 0.001
I0518 10:18:56.060981 6025 solver.cpp:218] Iteration 70500 (1.52085 iter/s, 65.7525s/100 iters), loss = 3.56564
I0518 10:18:56.061205 6025 solver.cpp:237] Train net output #0: loss = 2.11332 (* 1 = 2.11332 loss)
I0518 10:18:56.061223 6025 sgd_solver.cpp:105] Iteration 70500, lr = 0.001
I0518 10:20:01.398869 6025 solver.cpp:218] Iteration 70600 (1.53057 iter/s, 65.3352s/100 iters), loss = 3.43358
I0518 10:20:01.399055 6025 solver.cpp:237] Train net output #0: loss = 2.57439 (* 1 = 2.57439 loss)
I0518 10:20:01.399071 6025 sgd_solver.cpp:105] Iteration 70600, lr = 0.001
I0518 10:21:06.221837 6025 solver.cpp:218] Iteration 70700 (1.54273 iter/s, 64.8203s/100 iters), loss = 3.74333
I0518 10:21:06.223165 6025 solver.cpp:237] Train net output #0: loss = 4.76559 (* 1 = 4.76559 loss)
I0518 10:21:06.223197 6025 sgd_solver.cpp:105] Iteration 70700, lr = 0.001
I0518 10:22:11.860607 6025 solver.cpp:218] Iteration 70800 (1.52358 iter/s, 65.635s/100 iters), loss = 3.56313
I0518 10:22:11.860925 6025 solver.cpp:237] Train net output #0: loss = 4.94229 (* 1 = 4.94229 loss)
I0518 10:22:11.860965 6025 sgd_solver.cpp:105] Iteration 70800, lr = 0.001
I0518 10:23:16.922346 6025 solver.cpp:218] Iteration 70900 (1.53707 iter/s, 65.059s/100 iters), loss = 3.42733
I0518 10:23:16.922621 6025 solver.cpp:237] Train net output #0: loss = 2.23976 (* 1 = 2.23976 loss)
I0518 10:23:16.922674 6025 sgd_solver.cpp:105] Iteration 70900, lr = 0.001
I0518 10:24:22.352193 6025 solver.cpp:218] Iteration 71000 (1.52842 iter/s, 65.4271s/100 iters), loss = 3.47958
I0518 10:24:22.352427 6025 solver.cpp:237] Train net output #0: loss = 2.13507 (* 1 = 2.13507 loss)
I0518 10:24:22.352455 6025 sgd_solver.cpp:105] Iteration 71000, lr = 0.001
I0518 10:25:27.482075 6025 solver.cpp:218] Iteration 71100 (1.53546 iter/s, 65.1271s/100 iters), loss = 3.37725
I0518 10:25:27.487205 6025 solver.cpp:237] Train net output #0: loss = 2.24507 (* 1 = 2.24507 loss)
I0518 10:25:27.487229 6025 sgd_solver.cpp:105] Iteration 71100, lr = 0.001
I0518 10:26:32.513355 6025 solver.cpp:218] Iteration 71200 (1.5379 iter/s, 65.0237s/100 iters), loss = 3.32812
I0518 10:26:32.513561 6025 solver.cpp:237] Train net output #0: loss = 2.73423 (* 1 = 2.73423 loss)
I0518 10:26:32.513583 6025 sgd_solver.cpp:105] Iteration 71200, lr = 0.001
I0518 10:27:37.028384 6025 solver.cpp:218] Iteration 71300 (1.55009 iter/s, 64.5124s/100 iters), loss = 3.56075
I0518 10:27:37.028663 6025 solver.cpp:237] Train net output #0: loss = 2.54121 (* 1 = 2.54121 loss)
I0518 10:27:37.028713 6025 sgd_solver.cpp:105] Iteration 71300, lr = 0.001
I0518 10:28:41.352540 6025 solver.cpp:218] Iteration 71400 (1.55469 iter/s, 64.3215s/100 iters), loss = 3.534
I0518 10:28:41.353677 6025 solver.cpp:237] Train net output #0: loss = 3.07645 (* 1 = 3.07645 loss)
I0518 10:28:41.353710 6025 sgd_solver.cpp:105] Iteration 71400, lr = 0.001
I0518 10:29:46.403195 6025 solver.cpp:218] Iteration 71500 (1.53735 iter/s, 65.0471s/100 iters), loss = 3.44162
I0518 10:29:46.404064 6025 solver.cpp:237] Train net output #0: loss = 1.97487 (* 1 = 1.97487 loss)
I0518 10:29:46.404088 6025 sgd_solver.cpp:105] Iteration 71500, lr = 0.001
I0518 10:30:51.855074 6025 solver.cpp:218] Iteration 71600 (1.52792 iter/s, 65.4485s/100 iters), loss = 3.40917
I0518 10:30:51.856472 6025 solver.cpp:237] Train net output #0: loss = 1.88878 (* 1 = 1.88878 loss)
I0518 10:30:51.856487 6025 sgd_solver.cpp:105] Iteration 71600, lr = 0.001
I0518 10:31:56.245553 6025 solver.cpp:218] Iteration 71700 (1.55312 iter/s, 64.3866s/100 iters), loss = 3.54146
I0518 10:31:56.245759 6025 solver.cpp:237] Train net output #0: loss = 4.90905 (* 1 = 4.90905 loss)
I0518 10:31:56.245772 6025 sgd_solver.cpp:105] Iteration 71700, lr = 0.001
I0518 10:33:00.939954 6025 solver.cpp:218] Iteration 71800 (1.54579 iter/s, 64.6917s/100 iters), loss = 3.45186
I0518 10:33:00.940145 6025 solver.cpp:237] Train net output #0: loss = 4.83605 (* 1 = 4.83605 loss)
I0518 10:33:00.940160 6025 sgd_solver.cpp:105] Iteration 71800, lr = 0.001
I0518 10:34:06.006219 6025 solver.cpp:218] Iteration 71900 (1.53696 iter/s, 65.0636s/100 iters), loss = 3.47015
I0518 10:34:06.007192 6025 solver.cpp:237] Train net output #0: loss = 4.87136 (* 1 = 4.87136 loss)
I0518 10:34:06.007232 6025 sgd_solver.cpp:105] Iteration 71900, lr = 0.001
I0518 10:35:10.528093 6025 solver.cpp:218] Iteration 72000 (1.54994 iter/s, 64.5185s/100 iters), loss = 3.56311
I0518 10:35:10.528292 6025 solver.cpp:237] Train net output #0: loss = 4.72473 (* 1 = 4.72473 loss)
I0518 10:35:10.528308 6025 sgd_solver.cpp:105] Iteration 72000, lr = 0.001
I0518 10:35:50.858763 6025 solver.cpp:447] Snapshotting to binary proto file snapshot/ft_all_iter_72063.caffemodel
I0518 10:35:51.771277 6025 sgd_solver.cpp:273] Snapshotting solver state to binary proto file snapshot/ft_all_iter_72063.solverstate
I0518 10:35:51.863917 6025 solver.cpp:330] Iteration 72063, Testing net (#0)
I0518 10:37:54.355728 6073 data_layer.cpp:73] Restarting data prefetching from start.
I0518 10:37:54.607580 6025 solver.cpp:397] Test net output #0: accuracy = 0.350666
I0518 10:37:54.607646 6025 solver.cpp:397] Test net output #1: loss = 2.89561 (* 1 = 2.89561 loss)
I0518 10:38:18.791867 6025 solver.cpp:218] Iteration 72100 (0.53119 iter/s, 188.256s/100 iters), loss = 3.5437
I0518 10:38:18.791931 6025 solver.cpp:237] Train net output #0: loss = 2.95141 (* 1 = 2.95141 loss)
I0518 10:38:18.791942 6025 sgd_solver.cpp:105] Iteration 72100, lr = 0.001
I0518 10:39:23.015599 6025 solver.cpp:218] Iteration 72200 (1.55712 iter/s, 64.2212s/100 iters), loss = 3.56569
I0518 10:39:23.015797 6025 solver.cpp:237] Train net output #0: loss = 4.70955 (* 1 = 4.70955 loss)
I0518 10:39:23.015815 6025 sgd_solver.cpp:105] Iteration 72200, lr = 0.001
I0518 10:40:28.308641 6025 solver.cpp:218] Iteration 72300 (1.53162 iter/s, 65.2904s/100 iters), loss = 3.55173
I0518 10:40:28.309222 6025 solver.cpp:237] Train net output #0: loss = 4.70547 (* 1 = 4.70547 loss)
I0518 10:40:28.309258 6025 sgd_solver.cpp:105] Iteration 72300, lr = 0.001
I0518 10:41:33.732795 6025 solver.cpp:218] Iteration 72400 (1.52856 iter/s, 65.4211s/100 iters), loss = 3.64894
I0518 10:41:33.735913 6025 solver.cpp:237] Train net output #0: loss = 4.60344 (* 1 = 4.60344 loss)
I0518 10:41:33.735939 6025 sgd_solver.cpp:105] Iteration 72400, lr = 0.001
I0518 10:42:39.009219 6025 solver.cpp:218] Iteration 72500 (1.53208 iter/s, 65.2709s/100 iters), loss = 3.42857
I0518 10:42:39.011942 6025 solver.cpp:237] Train net output #0: loss = 2.2054 (* 1 = 2.2054 loss)
I0518 10:42:39.011965 6025 sgd_solver.cpp:105] Iteration 72500, lr = 0.001
I0518 10:43:43.479477 6025 solver.cpp:218] Iteration 72600 (1.55123 iter/s, 64.4651s/100 iters), loss = 3.51949
I0518 10:43:43.479821 6025 solver.cpp:237] Train net output #0: loss = 2.21322 (* 1 = 2.21322 loss)
I0518 10:43:43.479874 6025 sgd_solver.cpp:105] Iteration 72600, lr = 0.001
I0518 10:44:48.115870 6025 solver.cpp:218] Iteration 72700 (1.54718 iter/s, 64.6336s/100 iters), loss = 3.41596
I0518 10:44:48.116081 6025 solver.cpp:237] Train net output #0: loss = 1.98586 (* 1 = 1.98586 loss)
I0518 10:44:48.116096 6025 sgd_solver.cpp:105] Iteration 72700, lr = 0.001
I0518 10:45:52.708359 6025 solver.cpp:218] Iteration 72800 (1.54823 iter/s, 64.5898s/100 iters), loss = 3.45163
I0518 10:45:52.708525 6025 solver.cpp:237] Train net output #0: loss = 2.37503 (* 1 = 2.37503 loss)
I0518 10:45:52.708540 6025 sgd_solver.cpp:105] Iteration 72800, lr = 0.001
I0518 10:46:56.842085 6025 solver.cpp:218] Iteration 72900 (1.55931 iter/s, 64.1311s/100 iters), loss = 3.49783
I0518 10:46:56.842278 6025 solver.cpp:237] Train net output #0: loss = 2.26976 (* 1 = 2.26976 loss)
I0518 10:46:56.842293 6025 sgd_solver.cpp:105] Iteration 72900, lr = 0.001
I0518 10:48:01.352833 6025 solver.cpp:218] Iteration 73000 (1.55019 iter/s, 64.5081s/100 iters), loss = 3.53123
I0518 10:48:01.353137 6025 solver.cpp:237] Train net output #0: loss = 3.5391 (* 1 = 3.5391 loss)
I0518 10:48:01.353193 6025 sgd_solver.cpp:105] Iteration 73000, lr = 0.001
I0518 10:49:06.218933 6025 solver.cpp:218] Iteration 73100 (1.5417 iter/s, 64.8634s/100 iters), loss = 3.75999
I0518 10:49:06.219184 6025 solver.cpp:237] Train net output #0: loss = 2.62307 (* 1 = 2.62307 loss)
I0518 10:49:06.219200 6025 sgd_solver.cpp:105] Iteration 73100, lr = 0.001
I0518 10:50:10.791869 6025 solver.cpp:218] Iteration 73200 (1.5487 iter/s, 64.5702s/100 iters), loss = 3.42914
I0518 10:50:10.792419 6025 solver.cpp:237] Train net output #0: loss = 4.44152 (* 1 = 4.44152 loss)
I0518 10:50:10.792446 6025 sgd_solver.cpp:105] Iteration 73200, lr = 0.001
I0518 10:51:15.987118 6025 solver.cpp:218] Iteration 73300 (1.53393 iter/s, 65.1922s/100 iters), loss = 3.26467
I0518 10:51:15.987401 6025 solver.cpp:237] Train net output #0: loss = 2.58216 (* 1 = 2.58216 loss)
I0518 10:51:15.987447 6025 sgd_solver.cpp:105] Iteration 73300, lr = 0.001
I0518 10:52:20.719432 6025 solver.cpp:218] Iteration 73400 (1.54489 iter/s, 64.7296s/100 iters), loss = 3.3902
I0518 10:52:20.719871 6025 solver.cpp:237] Train net output #0: loss = 4.63733 (* 1 = 4.63733 loss)
I0518 10:52:20.719920 6025 sgd_solver.cpp:105] Iteration 73400, lr = 0.001
I0518 10:53:26.587883 6025 solver.cpp:218] Iteration 73500 (1.51824 iter/s, 65.8655s/100 iters), loss = 3.44581
I0518 10:53:26.590132 6025 solver.cpp:237] Train net output #0: loss = 2.04584 (* 1 = 2.04584 loss)
I0518 10:53:26.590149 6025 sgd_solver.cpp:105] Iteration 73500, lr = 0.001
I0518 10:54:31.608597 6025 solver.cpp:218] Iteration 73600 (1.53808 iter/s, 65.016s/100 iters), loss = 3.57255
I0518 10:54:31.611795 6025 solver.cpp:237] Train net output #0: loss = 2.7051 (* 1 = 2.7051 loss)
I0518 10:54:31.611815 6025 sgd_solver.cpp:105] Iteration 73600, lr = 0.001
I0518 10:55:35.696743 6025 solver.cpp:218] Iteration 73700 (1.56049 iter/s, 64.0825s/100 iters), loss = 3.5021
I0518 10:55:35.697015 6025 solver.cpp:237] Train net output #0: loss = 3.50743 (* 1 = 3.50743 loss)
I0518 10:55:35.697049 6025 sgd_solver.cpp:105] Iteration 73700, lr = 0.001
I0518 10:56:40.108052 6025 solver.cpp:218] Iteration 73800 (1.55259 iter/s, 64.4086s/100 iters), loss = 3.40819
I0518 10:56:40.108299 6025 solver.cpp:237] Train net output #0: loss = 3.52902 (* 1 = 3.52902 loss)
I0518 10:56:40.108336 6025 sgd_solver.cpp:105] Iteration 73800, lr = 0.001
I0518 10:57:45.689155 6025 solver.cpp:218] Iteration 73900 (1.52489 iter/s, 65.5784s/100 iters), loss = 3.38772
I0518 10:57:45.689368 6025 solver.cpp:237] Train net output #0: loss = 4.72107 (* 1 = 4.72107 loss)
I0518 10:57:45.689383 6025 sgd_solver.cpp:105] Iteration 73900, lr = 0.001
I0518 10:58:47.908757 6025 solver.cpp:218] Iteration 74000 (1.60728 iter/s, 62.217s/100 iters), loss = 3.27156
I0518 10:58:47.909063 6025 solver.cpp:237] Train net output #0: loss = 2.53129 (* 1 = 2.53129 loss)
I0518 10:58:47.909091 6025 sgd_solver.cpp:105] Iteration 74000, lr = 0.001
I0518 10:59:55.157254 6025 solver.cpp:218] Iteration 74100 (1.48708 iter/s, 67.2457s/100 iters), loss = 3.02218
I0518 10:59:55.157542 6025 solver.cpp:237] Train net output #0: loss = 2.55414 (* 1 = 2.55414 loss)
I0518 10:59:55.157582 6025 sgd_solver.cpp:105] Iteration 74100, lr = 0.001
I0518 11:01:04.282793 6025 solver.cpp:218] Iteration 74200 (1.4467 iter/s, 69.1226s/100 iters), loss = 3.47767
I0518 11:01:04.287222 6025 solver.cpp:237] Train net output #0: loss = 4.42657 (* 1 = 4.42657 loss)
I0518 11:01:04.287267 6025 sgd_solver.cpp:105] Iteration 74200, lr = 0.001
I0518 11:02:16.801992 6025 solver.cpp:218] Iteration 74300 (1.37908 iter/s, 72.512s/100 iters), loss = 3.38295
I0518 11:02:16.803506 6025 solver.cpp:237] Train net output #0: loss = 4.79766 (* 1 = 4.79766 loss)
I0518 11:02:16.803539 6025 sgd_solver.cpp:105] Iteration 74300, lr = 0.001
I0518 11:03:23.329543 6025 solver.cpp:218] Iteration 74400 (1.50323 iter/s, 66.5235s/100 iters), loss = 3.42037
I0518 11:03:23.329733 6025 solver.cpp:237] Train net output #0: loss = 2.13076 (* 1 = 2.13076 loss)
I0518 11:03:23.329751 6025 sgd_solver.cpp:105] Iteration 74400, lr = 0.001
I0518 11:04:27.881245 6025 solver.cpp:218] Iteration 74500 (1.54921 iter/s, 64.5491s/100 iters), loss = 3.69333
I0518 11:04:27.882160 6025 solver.cpp:237] Train net output #0: loss = 2.70799 (* 1 = 2.70799 loss)
I0518 11:04:27.882179 6025 sgd_solver.cpp:105] Iteration 74500, lr = 0.001
I0518 11:05:33.249228 6025 solver.cpp:218] Iteration 74600 (1.52988 iter/s, 65.3646s/100 iters), loss = 3.37189
I0518 11:05:33.249493 6025 solver.cpp:237] Train net output #0: loss = 3.01883 (* 1 = 3.01883 loss)
I0518 11:05:33.249533 6025 sgd_solver.cpp:105] Iteration 74600, lr = 0.001
I0518 11:06:43.920392 6025 solver.cpp:218] Iteration 74700 (1.41506 iter/s, 70.6683s/100 iters), loss = 3.41137
I0518 11:06:43.920974 6025 solver.cpp:237] Train net output #0: loss = 2.20018 (* 1 = 2.20018 loss)
I0518 11:06:43.921010 6025 sgd_solver.cpp:105] Iteration 74700, lr = 0.001
I0518 11:07:54.115289 6025 solver.cpp:218] Iteration 74800 (1.42467 iter/s, 70.1917s/100 iters), loss = 3.48135
I0518 11:07:54.115737 6025 solver.cpp:237] Train net output #0: loss = 2.08928 (* 1 = 2.08928 loss)
I0518 11:07:54.115888 6025 sgd_solver.cpp:105] Iteration 74800, lr = 0.001
I0518 11:08:57.826205 6025 solver.cpp:218] Iteration 74900 (1.56966 iter/s, 63.7081s/100 iters), loss = 3.49482
I0518 11:08:57.829232 6025 solver.cpp:237] Train net output #0: loss = 4.75328 (* 1 = 4.75328 loss)
I0518 11:08:57.829253 6025 sgd_solver.cpp:105] Iteration 74900, lr = 0.001
I0518 11:10:06.194715 6025 solver.cpp:218] Iteration 75000 (1.46278 iter/s, 68.3629s/100 iters), loss = 3.58282
I0518 11:10:06.194918 6025 solver.cpp:237] Train net output #0: loss = 2.42279 (* 1 = 2.42279 loss)
I0518 11:10:06.194934 6025 sgd_solver.cpp:105] Iteration 75000, lr = 0.001
I0518 11:11:13.070658 6025 solver.cpp:218] Iteration 75100 (1.49537 iter/s, 66.8732s/100 iters), loss = 3.41828
I0518 11:11:13.070852 6025 solver.cpp:237] Train net output #0: loss = 4.7609 (* 1 = 4.7609 loss)
I0518 11:11:13.070873 6025 sgd_solver.cpp:105] Iteration 75100, lr = 0.001
I0518 11:12:16.996927 6025 solver.cpp:218] Iteration 75200 (1.56437 iter/s, 63.9237s/100 iters), loss = 3.38752
I0518 11:12:16.997221 6025 solver.cpp:237] Train net output #0: loss = 4.68288 (* 1 = 4.68288 loss)
I0518 11:12:16.997272 6025 sgd_solver.cpp:105] Iteration 75200, lr = 0.001
I0518 11:13:22.583691 6025 solver.cpp:218] Iteration 75300 (1.52476 iter/s, 65.584s/100 iters), loss = 3.39866
I0518 11:13:22.587265 6025 solver.cpp:237] Train net output #0: loss = 3.07072 (* 1 = 3.07072 loss)
I0518 11:13:22.587296 6025 sgd_solver.cpp:105] Iteration 75300, lr = 0.001
I0518 11:14:29.191315 6025 solver.cpp:218] Iteration 75400 (1.50147 iter/s, 66.6015s/100 iters), loss = 3.36562
I0518 11:14:29.191551 6025 solver.cpp:237] Train net output #0: loss = 2.35158 (* 1 = 2.35158 loss)
I0518 11:14:29.191568 6025 sgd_solver.cpp:105] Iteration 75400, lr = 0.001
I0518 11:15:39.272359 6025 solver.cpp:218] Iteration 75500 (1.42698 iter/s, 70.0782s/100 iters), loss = 3.29311
I0518 11:15:39.275200 6025 solver.cpp:237] Train net output #0: loss = 4.95438 (* 1 = 4.95438 loss)
I0518 11:15:39.275226 6025 sgd_solver.cpp:105] Iteration 75500, lr = 0.001
I0518 11:16:48.367261 6025 solver.cpp:218] Iteration 75600 (1.4474 iter/s, 69.0895s/100 iters), loss = 3.52555
I0518 11:16:48.368075 6025 solver.cpp:237] Train net output #0: loss = 2.2315 (* 1 = 2.2315 loss)
I0518 11:16:48.368115 6025 sgd_solver.cpp:105] Iteration 75600, lr = 0.001
I0518 11:17:56.227331 6025 solver.cpp:218] Iteration 75700 (1.47369 iter/s, 67.8567s/100 iters), loss = 3.61011
I0518 11:17:56.230161 6025 solver.cpp:237] Train net output #0: loss = 4.83827 (* 1 = 4.83827 loss)
I0518 11:17:56.230204 6025 sgd_solver.cpp:105] Iteration 75700, lr = 0.001
I0518 11:19:06.496426 6025 solver.cpp:218] Iteration 75800 (1.42321 iter/s, 70.2636s/100 iters), loss = 3.48462
I0518 11:19:06.496677 6025 solver.cpp:237] Train net output #0: loss = 2.23482 (* 1 = 2.23482 loss)
I0518 11:19:06.496716 6025 sgd_solver.cpp:105] Iteration 75800, lr = 0.001
I0518 11:20:14.353642 6025 solver.cpp:218] Iteration 75900 (1.47374 iter/s, 67.8544s/100 iters), loss = 3.34686
I0518 11:20:14.353829 6025 solver.cpp:237] Train net output #0: loss = 4.67864 (* 1 = 4.67864 loss)
I0518 11:20:14.353844 6025 sgd_solver.cpp:105] Iteration 75900, lr = 0.001
I0518 11:21:19.877522 6025 solver.cpp:218] Iteration 76000 (1.52622 iter/s, 65.5212s/100 iters), loss = 3.44308
I0518 11:21:19.877812 6025 solver.cpp:237] Train net output #0: loss = 2.56631 (* 1 = 2.56631 loss)
I0518 11:21:19.877851 6025 sgd_solver.cpp:105] Iteration 76000, lr = 0.001
I0518 11:22:25.522742 6025 solver.cpp:218] Iteration 76100 (1.5234 iter/s, 65.6425s/100 iters), loss = 3.32169
I0518 11:22:25.524080 6025 solver.cpp:237] Train net output #0: loss = 4.74351 (* 1 = 4.74351 loss)
I0518 11:22:25.524113 6025 sgd_solver.cpp:105] Iteration 76100, lr = 0.001
I0518 11:23:37.901441 6025 solver.cpp:218] Iteration 76200 (1.3817 iter/s, 72.3746s/100 iters), loss = 3.6173
I0518 11:23:37.902336 6025 solver.cpp:237] Train net output #0: loss = 4.74929 (* 1 = 4.74929 loss)
I0518 11:23:37.902354 6025 sgd_solver.cpp:105] Iteration 76200, lr = 0.001
I0518 11:24:43.268555 6025 solver.cpp:218] Iteration 76300 (1.5299 iter/s, 65.3637s/100 iters), loss = 3.55248
I0518 11:24:43.268824 6025 solver.cpp:237] Train net output #0: loss = 4.90074 (* 1 = 4.90074 loss)
I0518 11:24:43.268877 6025 sgd_solver.cpp:105] Iteration 76300, lr = 0.001
I0518 11:25:52.010259 6025 solver.cpp:218] Iteration 76400 (1.45478 iter/s, 68.7389s/100 iters), loss = 3.51156
I0518 11:25:52.012022 6025 solver.cpp:237] Train net output #0: loss = 4.98795 (* 1 = 4.98795 loss)
I0518 11:25:52.012059 6025 sgd_solver.cpp:105] Iteration 76400, lr = 0.001
I0518 11:27:00.900280 6025 solver.cpp:218] Iteration 76500 (1.45168 iter/s, 68.8857s/100 iters), loss = 3.52472
I0518 11:27:00.901723 6025 solver.cpp:237] Train net output #0: loss = 2.53618 (* 1 = 2.53618 loss)
I0518 11:27:00.901758 6025 sgd_solver.cpp:105] Iteration 76500, lr = 0.001
I0518 11:28:06.331604 6025 solver.cpp:218] Iteration 76600 (1.52841 iter/s, 65.4274s/100 iters), loss = 3.51709
I0518 11:28:06.331930 6025 solver.cpp:237] Train net output #0: loss = 4.8074 (* 1 = 4.8074 loss)
I0518 11:28:06.331975 6025 sgd_solver.cpp:105] Iteration 76600, lr = 0.001
I0518 11:29:11.095789 6025 solver.cpp:218] Iteration 76700 (1.54413 iter/s, 64.7614s/100 iters), loss = 3.31876
I0518 11:29:11.096065 6025 solver.cpp:237] Train net output #0: loss = 2.73227 (* 1 = 2.73227 loss)
I0518 11:29:11.096109 6025 sgd_solver.cpp:105] Iteration 76700, lr = 0.001
I0518 11:30:15.567731 6025 solver.cpp:218] Iteration 76800 (1.55113 iter/s, 64.4692s/100 iters), loss = 3.14858
I0518 11:30:15.570950 6025 solver.cpp:237] Train net output #0: loss = 2.76372 (* 1 = 2.76372 loss)
I0518 11:30:15.570972 6025 sgd_solver.cpp:105] Iteration 76800, lr = 0.001
I0518 11:31:21.783411 6025 solver.cpp:218] Iteration 76900 (1.51035 iter/s, 66.21s/100 iters), loss = 3.47341
I0518 11:31:21.783579 6025 solver.cpp:237] Train net output #0: loss = 4.78115 (* 1 = 4.78115 loss)
I0518 11:31:21.783597 6025 sgd_solver.cpp:105] Iteration 76900, lr = 0.001
I0518 11:32:26.169822 6025 solver.cpp:218] Iteration 77000 (1.55319 iter/s, 64.3838s/100 iters), loss = 3.48316
I0518 11:32:26.170187 6025 solver.cpp:237] Train net output #0: loss = 2.18691 (* 1 = 2.18691 loss)
I0518 11:32:26.170244 6025 sgd_solver.cpp:105] Iteration 77000, lr = 0.001
I0518 11:33:34.637270 6025 solver.cpp:218] Iteration 77100 (1.46061 iter/s, 68.4645s/100 iters), loss = 3.52702
I0518 11:33:34.637550 6025 solver.cpp:237] Train net output #0: loss = 4.73432 (* 1 = 4.73432 loss)
I0518 11:33:34.637600 6025 sgd_solver.cpp:105] Iteration 77100, lr = 0.001
I0518 11:34:42.378237 6025 solver.cpp:218] Iteration 77200 (1.47627 iter/s, 67.7381s/100 iters), loss = 3.53728
I0518 11:34:42.383210 6025 solver.cpp:237] Train net output #0: loss = 2.16828 (* 1 = 2.16828 loss)
I0518 11:34:42.383247 6025 sgd_solver.cpp:105] Iteration 77200, lr = 0.001
I0518 11:35:48.177697 6025 solver.cpp:218] Iteration 77300 (1.51994 iter/s, 65.792s/100 iters), loss = 3.33991
I0518 11:35:48.177897 6025 solver.cpp:237] Train net output #0: loss = 2.74442 (* 1 = 2.74442 loss)
I0518 11:35:48.177913 6025 sgd_solver.cpp:105] Iteration 77300, lr = 0.001
I0518 11:36:52.575752 6025 solver.cpp:218] Iteration 77400 (1.55291 iter/s, 64.3954s/100 iters), loss = 3.38508
I0518 11:36:52.575995 6025 solver.cpp:237] Train net output #0: loss = 4.84134 (* 1 = 4.84134 loss)
I0518 11:36:52.576035 6025 sgd_solver.cpp:105] Iteration 77400, lr = 0.001
I0518 11:37:58.355520 6025 solver.cpp:218] Iteration 77500 (1.52029 iter/s, 65.7771s/100 iters), loss = 3.41791
I0518 11:37:58.355725 6025 solver.cpp:237] Train net output #0: loss = 2.57481 (* 1 = 2.57481 loss)
I0518 11:37:58.355748 6025 sgd_solver.cpp:105] Iteration 77500, lr = 0.001
I0518 11:39:02.886163 6025 solver.cpp:218] Iteration 77600 (1.54972 iter/s, 64.5279s/100 iters), loss = 3.39283
I0518 11:39:02.886427 6025 solver.cpp:237] Train net output #0: loss = 4.7765 (* 1 = 4.7765 loss)
I0518 11:39:02.886457 6025 sgd_solver.cpp:105] Iteration 77600, lr = 0.001
I0518 11:40:07.486554 6025 solver.cpp:218] Iteration 77700 (1.54804 iter/s, 64.5977s/100 iters), loss = 3.38111
I0518 11:40:07.489349 6025 solver.cpp:237] Train net output #0: loss = 4.78459 (* 1 = 4.78459 loss)
I0518 11:40:07.489369 6025 sgd_solver.cpp:105] Iteration 77700, lr = 0.001
I0518 11:41:14.571151 6025 solver.cpp:218] Iteration 77800 (1.49077 iter/s, 67.0792s/100 iters), loss = 3.60441
I0518 11:41:14.575209 6025 solver.cpp:237] Train net output #0: loss = 2.28931 (* 1 = 2.28931 loss)
I0518 11:41:14.575237 6025 sgd_solver.cpp:105] Iteration 77800, lr = 0.001
I0518 11:42:22.096063 6025 solver.cpp:218] Iteration 77900 (1.48108 iter/s, 67.5183s/100 iters), loss = 3.1803
I0518 11:42:22.096658 6025 solver.cpp:237] Train net output #0: loss = 2.54464 (* 1 = 2.54464 loss)
I0518 11:42:22.096674 6025 sgd_solver.cpp:105] Iteration 77900, lr = 0.001
I0518 11:43:26.443871 6025 solver.cpp:218] Iteration 78000 (1.55413 iter/s, 64.3447s/100 iters), loss = 3.559
I0518 11:43:26.447276 6025 solver.cpp:237] Train net output #0: loss = 2.59491 (* 1 = 2.59491 loss)
I0518 11:43:26.447317 6025 sgd_solver.cpp:105] Iteration 78000, lr = 0.001
I0518 11:44:31.436600 6025 solver.cpp:218] Iteration 78100 (1.53877 iter/s, 64.9869s/100 iters), loss = 3.62247
I0518 11:44:31.438252 6025 solver.cpp:237] Train net output #0: loss = 1.81941 (* 1 = 1.81941 loss)
I0518 11:44:31.438271 6025 sgd_solver.cpp:105] Iteration 78100, lr = 0.001
I0518 11:45:36.054239 6025 solver.cpp:218] Iteration 78200 (1.54766 iter/s, 64.6135s/100 iters), loss = 3.66769
I0518 11:45:36.057853 6025 solver.cpp:237] Train net output #0: loss = 2.71732 (* 1 = 2.71732 loss)
I0518 11:45:36.057881 6025 sgd_solver.cpp:105] Iteration 78200, lr = 0.001
I0518 11:46:41.919312 6025 solver.cpp:218] Iteration 78300 (1.5184 iter/s, 65.859s/100 iters), loss = 3.46038
I0518 11:46:41.919587 6025 solver.cpp:237] Train net output #0: loss = 4.78797 (* 1 = 4.78797 loss)
I0518 11:46:41.919626 6025 sgd_solver.cpp:105] Iteration 78300, lr = 0.001
I0518 11:47:47.525414 6025 solver.cpp:218] Iteration 78400 (1.52431 iter/s, 65.6034s/100 iters), loss = 3.36048
I0518 11:47:47.525734 6025 solver.cpp:237] Train net output #0: loss = 2.48724 (* 1 = 2.48724 loss)
I0518 11:47:47.525749 6025 sgd_solver.cpp:105] Iteration 78400, lr = 0.001
I0518 11:48:54.692062 6025 solver.cpp:218] Iteration 78500 (1.4889 iter/s, 67.1638s/100 iters), loss = 3.60629
I0518 11:48:54.694169 6025 solver.cpp:237] Train net output #0: loss = 4.78497 (* 1 = 4.78497 loss)
I0518 11:48:54.694201 6025 sgd_solver.cpp:105] Iteration 78500, lr = 0.001
I0518 11:49:59.851240 6025 solver.cpp:218] Iteration 78600 (1.53481 iter/s, 65.1546s/100 iters), loss = 3.2989
I0518 11:49:59.851460 6025 solver.cpp:237] Train net output #0: loss = 4.68259 (* 1 = 4.68259 loss)
I0518 11:49:59.851476 6025 sgd_solver.cpp:105] Iteration 78600, lr = 0.001
I0518 11:51:04.886284 6025 solver.cpp:218] Iteration 78700 (1.5377 iter/s, 65.0324s/100 iters), loss = 3.56483
I0518 11:51:04.887282 6025 solver.cpp:237] Train net output #0: loss = 4.88062 (* 1 = 4.88062 loss)
I0518 11:51:04.887315 6025 sgd_solver.cpp:105] Iteration 78700, lr = 0.001
I0518 11:52:11.548192 6025 solver.cpp:218] Iteration 78800 (1.50019 iter/s, 66.6584s/100 iters), loss = 3.69593
I0518 11:52:11.551923 6025 solver.cpp:237] Train net output #0: loss = 2.73975 (* 1 = 2.73975 loss)
I0518 11:52:11.551962 6025 sgd_solver.cpp:105] Iteration 78800, lr = 0.001
I0518 11:53:17.292114 6025 solver.cpp:218] Iteration 78900 (1.5212 iter/s, 65.7377s/100 iters), loss = 3.44169
I0518 11:53:17.292304 6025 solver.cpp:237] Train net output #0: loss = 4.72787 (* 1 = 4.72787 loss)
I0518 11:53:17.292320 6025 sgd_solver.cpp:105] Iteration 78900, lr = 0.001
I0518 11:54:21.425189 6025 solver.cpp:218] Iteration 79000 (1.55932 iter/s, 64.1305s/100 iters), loss = 3.40983
I0518 11:54:21.425513 6025 solver.cpp:237] Train net output #0: loss = 4.70499 (* 1 = 4.70499 loss)
I0518 11:54:21.425565 6025 sgd_solver.cpp:105] Iteration 79000, lr = 0.001
I0518 11:55:25.903024 6025 solver.cpp:218] Iteration 79100 (1.55099 iter/s, 64.4751s/100 iters), loss = 3.4105
I0518 11:55:25.903244 6025 solver.cpp:237] Train net output #0: loss = 4.64562 (* 1 = 4.64562 loss)
I0518 11:55:25.903268 6025 sgd_solver.cpp:105] Iteration 79100, lr = 0.001
I0518 11:56:31.501556 6025 solver.cpp:218] Iteration 79200 (1.52449 iter/s, 65.5958s/100 iters), loss = 3.51577
I0518 11:56:31.502219 6025 solver.cpp:237] Train net output #0: loss = 4.67391 (* 1 = 4.67391 loss)
I0518 11:56:31.502238 6025 sgd_solver.cpp:105] Iteration 79200, lr = 0.001
I0518 11:57:36.280730 6025 solver.cpp:218] Iteration 79300 (1.54378 iter/s, 64.7761s/100 iters), loss = 3.45515
I0518 11:57:36.283869 6025 solver.cpp:237] Train net output #0: loss = 2.63337 (* 1 = 2.63337 loss)
I0518 11:57:36.283921 6025 sgd_solver.cpp:105] Iteration 79300, lr = 0.001
I0518 11:58:40.152806 6025 solver.cpp:218] Iteration 79400 (1.56576 iter/s, 63.8666s/100 iters), loss = 3.39822
I0518 11:58:40.152986 6025 solver.cpp:237] Train net output #0: loss = 4.51419 (* 1 = 4.51419 loss)
I0518 11:58:40.153002 6025 sgd_solver.cpp:105] Iteration 79400, lr = 0.001
I0518 11:59:45.808447 6025 solver.cpp:218] Iteration 79500 (1.52316 iter/s, 65.653s/100 iters), loss = 3.13256
I0518 11:59:45.815618 6025 solver.cpp:237] Train net output #0: loss = 4.99081 (* 1 = 4.99081 loss)
I0518 11:59:45.815651 6025 sgd_solver.cpp:105] Iteration 79500, lr = 0.001
I0518 12:00:50.888370 6025 solver.cpp:218] Iteration 79600 (1.5368 iter/s, 65.0703s/100 iters), loss = 3.3643
I0518 12:00:50.890342 6025 solver.cpp:237] Train net output #0: loss = 2.63513 (* 1 = 2.63513 loss)
I0518 12:00:50.890362 6025 sgd_solver.cpp:105] Iteration 79600, lr = 0.001
I0518 12:01:58.321856 6025 solver.cpp:218] Iteration 79700 (1.48304 iter/s, 67.429s/100 iters), loss = 3.49087
I0518 12:01:58.322510 6025 solver.cpp:237] Train net output #0: loss = 4.72281 (* 1 = 4.72281 loss)
I0518 12:01:58.322563 6025 sgd_solver.cpp:105] Iteration 79700, lr = 0.001
I0518 12:03:03.973676 6025 solver.cpp:218] Iteration 79800 (1.52326 iter/s, 65.6487s/100 iters), loss = 3.31277
I0518 12:03:03.973970 6025 solver.cpp:237] Train net output #0: loss = 1.82893 (* 1 = 1.82893 loss)
I0518 12:03:03.974030 6025 sgd_solver.cpp:105] Iteration 79800, lr = 0.001
I0518 12:04:10.810400 6025 solver.cpp:218] Iteration 79900 (1.49625 iter/s, 66.8339s/100 iters), loss = 3.07607
I0518 12:04:10.812896 6025 solver.cpp:237] Train net output #0: loss = 2.76159 (* 1 = 2.76159 loss)
I0518 12:04:10.812914 6025 sgd_solver.cpp:105] Iteration 79900, lr = 0.001
I0518 12:05:14.646481 6025 solver.cpp:218] Iteration 80000 (1.56663 iter/s, 63.8312s/100 iters), loss = 3.332
I0518 12:05:14.646790 6025 solver.cpp:237] Train net output #0: loss = 1.82248 (* 1 = 1.82248 loss)
I0518 12:05:14.646828 6025 sgd_solver.cpp:105] Iteration 80000, lr = 0.001
I0518 12:05:58.995232 6025 solver.cpp:447] Snapshotting to binary proto file snapshot/ft_all_iter_80070.caffemodel
I0518 12:06:01.114764 6025 sgd_solver.cpp:273] Snapshotting solver state to binary proto file snapshot/ft_all_iter_80070.solverstate
I0518 12:06:01.213770 6025 solver.cpp:330] Iteration 80070, Testing net (#0)
I0518 12:08:02.923024 6073 data_layer.cpp:73] Restarting data prefetching from start.
I0518 12:08:03.174274 6025 solver.cpp:397] Test net output #0: accuracy = 0.364933
I0518 12:08:03.174340 6025 solver.cpp:397] Test net output #1: loss = 2.87924 (* 1 = 2.87924 loss)
I0518 12:08:22.784250 6025 solver.cpp:218] Iteration 80100 (0.531546 iter/s, 188.13s/100 iters), loss = 3.25652
I0518 12:08:22.784322 6025 solver.cpp:237] Train net output #0: loss = 4.69631 (* 1 = 4.69631 loss)
I0518 12:08:22.784334 6025 sgd_solver.cpp:105] Iteration 80100, lr = 0.001
I0518 12:09:28.354343 6025 solver.cpp:218] Iteration 80200 (1.52515 iter/s, 65.5675s/100 iters), loss = 3.48788
I0518 12:09:28.354655 6025 solver.cpp:237] Train net output #0: loss = 4.77758 (* 1 = 4.77758 loss)
I0518 12:09:28.354704 6025 sgd_solver.cpp:105] Iteration 80200, lr = 0.001
I0518 12:10:36.092537 6025 solver.cpp:218] Iteration 80300 (1.47633 iter/s, 67.7353s/100 iters), loss = 3.43984
I0518 12:10:36.095302 6025 solver.cpp:237] Train net output #0: loss = 4.75606 (* 1 = 4.75606 loss)
I0518 12:10:36.095348 6025 sgd_solver.cpp:105] Iteration 80300, lr = 0.001
I0518 12:11:45.352927 6025 solver.cpp:218] Iteration 80400 (1.44394 iter/s, 69.255s/100 iters), loss = 3.45756
I0518 12:11:45.353217 6025 solver.cpp:237] Train net output #0: loss = 4.83305 (* 1 = 4.83305 loss)
I0518 12:11:45.353278 6025 sgd_solver.cpp:105] Iteration 80400, lr = 0.001
I0518 12:12:50.688261 6025 solver.cpp:218] Iteration 80500 (1.53063 iter/s, 65.3325s/100 iters), loss = 3.2381
I0518 12:12:50.688562 6025 solver.cpp:237] Train net output #0: loss = 4.77757 (* 1 = 4.77757 loss)
I0518 12:12:50.688609 6025 sgd_solver.cpp:105] Iteration 80500, lr = 0.001
I0518 12:13:54.459022 6025 solver.cpp:218] Iteration 80600 (1.56818 iter/s, 63.7681s/100 iters), loss = 3.46694
I0518 12:13:54.459369 6025 solver.cpp:237] Train net output #0: loss = 3.32304 (* 1 = 3.32304 loss)
I0518 12:13:54.459412 6025 sgd_solver.cpp:105] Iteration 80600, lr = 0.001
I0518 12:15:02.890470 6025 solver.cpp:218] Iteration 80700 (1.46138 iter/s, 68.4285s/100 iters), loss = 3.35215
I0518 12:15:02.893034 6025 solver.cpp:237] Train net output #0: loss = 2.35957 (* 1 = 2.35957 loss)
I0518 12:15:02.893075 6025 sgd_solver.cpp:105] Iteration 80700, lr = 0.001
I0518 12:16:09.142194 6025 solver.cpp:218] Iteration 80800 (1.50951 iter/s, 66.2466s/100 iters), loss = 3.27012
I0518 12:16:09.145869 6025 solver.cpp:237] Train net output #0: loss = 4.71563 (* 1 = 4.71563 loss)
I0518 12:16:09.145925 6025 sgd_solver.cpp:105] Iteration 80800, lr = 0.001
I0518 12:17:13.942400 6025 solver.cpp:218] Iteration 80900 (1.54335 iter/s, 64.7941s/100 iters), loss = 3.05342
I0518 12:17:13.944008 6025 solver.cpp:237] Train net output #0: loss = 2.78642 (* 1 = 2.78642 loss)
I0518 12:17:13.944041 6025 sgd_solver.cpp:105] Iteration 80900, lr = 0.001
I0518 12:18:18.206642 6025 solver.cpp:218] Iteration 81000 (1.55617 iter/s, 64.2602s/100 iters), loss = 3.48406
I0518 12:18:18.206923 6025 solver.cpp:237] Train net output #0: loss = 2.97289 (* 1 = 2.97289 loss)
I0518 12:18:18.206957 6025 sgd_solver.cpp:105] Iteration 81000, lr = 0.001
I0518 12:19:22.723104 6025 solver.cpp:218] Iteration 81100 (1.55006 iter/s, 64.5137s/100 iters), loss = 3.62425
I0518 12:19:22.724277 6025 solver.cpp:237] Train net output #0: loss = 2.4556 (* 1 = 2.4556 loss)
I0518 12:19:22.724308 6025 sgd_solver.cpp:105] Iteration 81100, lr = 0.001
I0518 12:20:27.774626 6025 solver.cpp:218] Iteration 81200 (1.53733 iter/s, 65.0479s/100 iters), loss = 3.54776
I0518 12:20:27.775956 6025 solver.cpp:237] Train net output #0: loss = 1.96145 (* 1 = 1.96145 loss)
I0518 12:20:27.775975 6025 sgd_solver.cpp:105] Iteration 81200, lr = 0.001
I0518 12:21:31.823349 6025 solver.cpp:218] Iteration 81300 (1.5614 iter/s, 64.045s/100 iters), loss = 3.55653
I0518 12:21:31.823616 6025 solver.cpp:237] Train net output #0: loss = 3.05216 (* 1 = 3.05216 loss)
I0518 12:21:31.823662 6025 sgd_solver.cpp:105] Iteration 81300, lr = 0.001
I0518 12:22:36.980067 6025 solver.cpp:218] Iteration 81400 (1.53483 iter/s, 65.154s/100 iters), loss = 3.51022
I0518 12:22:36.985425 6025 solver.cpp:237] Train net output #0: loss = 2.81075 (* 1 = 2.81075 loss)
I0518 12:22:36.985491 6025 sgd_solver.cpp:105] Iteration 81400, lr = 0.001
I0518 12:23:41.861994 6025 solver.cpp:218] Iteration 81500 (1.54145 iter/s, 64.8741s/100 iters), loss = 3.38703
I0518 12:23:41.867566 6025 solver.cpp:237] Train net output #0: loss = 4.72896 (* 1 = 4.72896 loss)
I0518 12:23:41.867586 6025 sgd_solver.cpp:105] Iteration 81500, lr = 0.001
I0518 12:24:46.313839 6025 solver.cpp:218] Iteration 81600 (1.55174 iter/s, 64.4438s/100 iters), loss = 3.56675
I0518 12:24:46.314819 6025 solver.cpp:237] Train net output #0: loss = 2.0207 (* 1 = 2.0207 loss)
I0518 12:24:46.314841 6025 sgd_solver.cpp:105] Iteration 81600, lr = 0.001
I0518 12:25:51.627678 6025 solver.cpp:218] Iteration 81700 (1.53115 iter/s, 65.3104s/100 iters), loss = 3.47688
I0518 12:25:51.628654 6025 solver.cpp:237] Train net output #0: loss = 2.49563 (* 1 = 2.49563 loss)
I0518 12:25:51.628674 6025 sgd_solver.cpp:105] Iteration 81700, lr = 0.001
I0518 12:26:55.938781 6025 solver.cpp:218] Iteration 81800 (1.55503 iter/s, 64.3076s/100 iters), loss = 3.40084
I0518 12:26:55.939074 6025 solver.cpp:237] Train net output #0: loss = 3.18758 (* 1 = 3.18758 loss)
I0518 12:26:55.939106 6025 sgd_solver.cpp:105] Iteration 81800, lr = 0.001
I0518 12:28:00.206181 6025 solver.cpp:218] Iteration 81900 (1.55606 iter/s, 64.2647s/100 iters), loss = 3.29215
I0518 12:28:00.211068 6025 solver.cpp:237] Train net output #0: loss = 2.71996 (* 1 = 2.71996 loss)
I0518 12:28:00.211110 6025 sgd_solver.cpp:105] Iteration 81900, lr = 0.001
I0518 12:29:05.277510 6025 solver.cpp:218] Iteration 82000 (1.53695 iter/s, 65.064s/100 iters), loss = 3.42975
I0518 12:29:05.277735 6025 solver.cpp:237] Train net output #0: loss = 4.71777 (* 1 = 4.71777 loss)
I0518 12:29:05.277750 6025 sgd_solver.cpp:105] Iteration 82000, lr = 0.001
I0518 12:30:10.222105 6025 solver.cpp:218] Iteration 82100 (1.53984 iter/s, 64.9419s/100 iters), loss = 3.51198
I0518 12:30:10.222389 6025 solver.cpp:237] Train net output #0: loss = 4.97889 (* 1 = 4.97889 loss)
I0518 12:30:10.222431 6025 sgd_solver.cpp:105] Iteration 82100, lr = 0.001
I0518 12:31:15.273679 6025 solver.cpp:218] Iteration 82200 (1.53731 iter/s, 65.0489s/100 iters), loss = 3.44593
I0518 12:31:15.279305 6025 solver.cpp:237] Train net output #0: loss = 4.59454 (* 1 = 4.59454 loss)
I0518 12:31:15.279350 6025 sgd_solver.cpp:105] Iteration 82200, lr = 0.001
I0518 12:32:20.331487 6025 solver.cpp:218] Iteration 82300 (1.53729 iter/s, 65.0497s/100 iters), loss = 3.43986
I0518 12:32:20.334805 6025 solver.cpp:237] Train net output #0: loss = 2.55328 (* 1 = 2.55328 loss)
I0518 12:32:20.334831 6025 sgd_solver.cpp:105] Iteration 82300, lr = 0.001
I0518 12:33:24.665477 6025 solver.cpp:218] Iteration 82400 (1.55453 iter/s, 64.3282s/100 iters), loss = 3.31613
I0518 12:33:24.669193 6025 solver.cpp:237] Train net output #0: loss = 2.42322 (* 1 = 2.42322 loss)
I0518 12:33:24.669214 6025 sgd_solver.cpp:105] Iteration 82400, lr = 0.001
I0518 12:34:29.122349 6025 solver.cpp:218] Iteration 82500 (1.55157 iter/s, 64.4506s/100 iters), loss = 3.41188
I0518 12:34:29.122591 6025 solver.cpp:237] Train net output #0: loss = 4.69689 (* 1 = 4.69689 loss)
I0518 12:34:29.122619 6025 sgd_solver.cpp:105] Iteration 82500, lr = 0.001
I0518 12:35:33.036200 6025 solver.cpp:218] Iteration 82600 (1.56467 iter/s, 63.9112s/100 iters), loss = 3.13716
I0518 12:35:33.037194 6025 solver.cpp:237] Train net output #0: loss = 2.65733 (* 1 = 2.65733 loss)
I0518 12:35:33.037214 6025 sgd_solver.cpp:105] Iteration 82600, lr = 0.001
I0518 12:36:36.480218 6025 solver.cpp:218] Iteration 82700 (1.57628 iter/s, 63.4406s/100 iters), loss = 3.22049
I0518 12:36:36.480458 6025 solver.cpp:237] Train net output #0: loss = 4.63265 (* 1 = 4.63265 loss)
I0518 12:36:36.480473 6025 sgd_solver.cpp:105] Iteration 82700, lr = 0.001
I0518 12:37:40.934878 6025 solver.cpp:218] Iteration 82800 (1.55154 iter/s, 64.452s/100 iters), loss = 3.45164
I0518 12:37:40.937691 6025 solver.cpp:237] Train net output #0: loss = 2.50737 (* 1 = 2.50737 loss)
I0518 12:37:40.937731 6025 sgd_solver.cpp:105] Iteration 82800, lr = 0.001
I0518 12:38:45.579572 6025 solver.cpp:218] Iteration 82900 (1.54704 iter/s, 64.6394s/100 iters), loss = 3.37856
I0518 12:38:45.579876 6025 solver.cpp:237] Train net output #0: loss = 4.81012 (* 1 = 4.81012 loss)
I0518 12:38:45.579931 6025 sgd_solver.cpp:105] Iteration 82900, lr = 0.001
I0518 12:39:50.134189 6025 solver.cpp:218] Iteration 83000 (1.54914 iter/s, 64.5518s/100 iters), loss = 3.48313
I0518 12:39:50.136333 6025 solver.cpp:237] Train net output #0: loss = 4.69032 (* 1 = 4.69032 loss)
I0518 12:39:50.136374 6025 sgd_solver.cpp:105] Iteration 83000, lr = 0.001
I0518 12:40:55.874899 6025 solver.cpp:218] Iteration 83100 (1.52123 iter/s, 65.7361s/100 iters), loss = 3.41304
I0518 12:40:55.876283 6025 solver.cpp:237] Train net output #0: loss = 4.731 (* 1 = 4.731 loss)
I0518 12:40:55.876317 6025 sgd_solver.cpp:105] Iteration 83100, lr = 0.001
I0518 12:42:00.755770 6025 solver.cpp:218] Iteration 83200 (1.54138 iter/s, 64.877s/100 iters), loss = 3.65709
I0518 12:42:00.756033 6025 solver.cpp:237] Train net output #0: loss = 2.96749 (* 1 = 2.96749 loss)
I0518 12:42:00.756085 6025 sgd_solver.cpp:105] Iteration 83200, lr = 0.001
I0518 12:43:06.325783 6025 solver.cpp:218] Iteration 83300 (1.52515 iter/s, 65.5673s/100 iters), loss = 3.5335
I0518 12:43:06.326712 6025 solver.cpp:237] Train net output #0: loss = 2.32699 (* 1 = 2.32699 loss)
I0518 12:43:06.326753 6025 sgd_solver.cpp:105] Iteration 83300, lr = 0.001
I0518 12:44:10.795500 6025 solver.cpp:218] Iteration 83400 (1.5512 iter/s, 64.4664s/100 iters), loss = 3.48134
I0518 12:44:10.799281 6025 solver.cpp:237] Train net output #0: loss = 4.95362 (* 1 = 4.95362 loss)
I0518 12:44:10.799319 6025 sgd_solver.cpp:105] Iteration 83400, lr = 0.001
I0518 12:45:15.593282 6025 solver.cpp:218] Iteration 83500 (1.54341 iter/s, 64.7916s/100 iters), loss = 3.44379
I0518 12:45:15.593631 6025 solver.cpp:237] Train net output #0: loss = 4.80294 (* 1 = 4.80294 loss)
I0518 12:45:15.593650 6025 sgd_solver.cpp:105] Iteration 83500, lr = 0.001
I0518 12:46:20.377254 6025 solver.cpp:218] Iteration 83600 (1.54366 iter/s, 64.7812s/100 iters), loss = 3.43641
I0518 12:46:20.381281 6025 solver.cpp:237] Train net output #0: loss = 4.81818 (* 1 = 4.81818 loss)
I0518 12:46:20.381314 6025 sgd_solver.cpp:105] Iteration 83600, lr = 0.001
I0518 12:47:24.830832 6025 solver.cpp:218] Iteration 83700 (1.55166 iter/s, 64.4471s/100 iters), loss = 3.38359
I0518 12:47:24.831126 6025 solver.cpp:237] Train net output #0: loss = 4.95172 (* 1 = 4.95172 loss)
I0518 12:47:24.831185 6025 sgd_solver.cpp:105] Iteration 83700, lr = 0.001
I0518 12:48:28.800626 6025 solver.cpp:218] Iteration 83800 (1.5633 iter/s, 63.9671s/100 iters), loss = 3.36106
I0518 12:48:28.801620 6025 solver.cpp:237] Train net output #0: loss = 2.97246 (* 1 = 2.97246 loss)
I0518 12:48:28.801640 6025 sgd_solver.cpp:105] Iteration 83800, lr = 0.001
I0518 12:49:33.273116 6025 solver.cpp:218] Iteration 83900 (1.55113 iter/s, 64.469s/100 iters), loss = 3.35943
I0518 12:49:33.274379 6025 solver.cpp:237] Train net output #0: loss = 2.14261 (* 1 = 2.14261 loss)
I0518 12:49:33.274400 6025 sgd_solver.cpp:105] Iteration 83900, lr = 0.001
I0518 12:50:38.978660 6025 solver.cpp:218] Iteration 84000 (1.52203 iter/s, 65.7018s/100 iters), loss = 3.48038
I0518 12:50:38.978998 6025 solver.cpp:237] Train net output #0: loss = 2.55406 (* 1 = 2.55406 loss)
I0518 12:50:38.979055 6025 sgd_solver.cpp:105] Iteration 84000, lr = 0.001
I0518 12:51:44.745276 6025 solver.cpp:218] Iteration 84100 (1.52059 iter/s, 65.7638s/100 iters), loss = 3.62424
I0518 12:51:44.745537 6025 solver.cpp:237] Train net output #0: loss = 4.79396 (* 1 = 4.79396 loss)
I0518 12:51:44.745573 6025 sgd_solver.cpp:105] Iteration 84100, lr = 0.001
I0518 12:52:55.997025 6025 solver.cpp:218] Iteration 84200 (1.40353 iter/s, 71.2488s/100 iters), loss = 3.82691
I0518 12:52:55.999231 6025 solver.cpp:237] Train net output #0: loss = 3.13865 (* 1 = 3.13865 loss)
I0518 12:52:55.999270 6025 sgd_solver.cpp:105] Iteration 84200, lr = 0.001
I0518 12:54:01.149623 6025 solver.cpp:218] Iteration 84300 (1.53497 iter/s, 65.1479s/100 iters), loss = 3.45161
I0518 12:54:01.149924 6025 solver.cpp:237] Train net output #0: loss = 2.41914 (* 1 = 2.41914 loss)
I0518 12:54:01.149966 6025 sgd_solver.cpp:105] Iteration 84300, lr = 0.001
I0518 12:55:12.050648 6025 solver.cpp:218] Iteration 84400 (1.41048 iter/s, 70.8981s/100 iters), loss = 3.46211
I0518 12:55:12.052343 6025 solver.cpp:237] Train net output #0: loss = 3.14211 (* 1 = 3.14211 loss)
I0518 12:55:12.052383 6025 sgd_solver.cpp:105] Iteration 84400, lr = 0.001
I0518 12:56:16.927431 6025 solver.cpp:218] Iteration 84500 (1.54148 iter/s, 64.8727s/100 iters), loss = 3.37834
I0518 12:56:16.927752 6025 solver.cpp:237] Train net output #0: loss = 2.44226 (* 1 = 2.44226 loss)
I0518 12:56:16.927799 6025 sgd_solver.cpp:105] Iteration 84500, lr = 0.001
I0518 12:57:26.856290 6025 solver.cpp:218] Iteration 84600 (1.43008 iter/s, 69.9259s/100 iters), loss = 3.44965
I0518 12:57:26.856532 6025 solver.cpp:237] Train net output #0: loss = 2.09484 (* 1 = 2.09484 loss)
I0518 12:57:26.856570 6025 sgd_solver.cpp:105] Iteration 84600, lr = 0.001
I0518 12:58:36.173959 6025 solver.cpp:218] Iteration 84700 (1.44269 iter/s, 69.3148s/100 iters), loss = 3.47833
I0518 12:58:36.175104 6025 solver.cpp:237] Train net output #0: loss = 2.99465 (* 1 = 2.99465 loss)
I0518 12:58:36.175158 6025 sgd_solver.cpp:105] Iteration 84700, lr = 0.001
I0518 12:59:41.902495 6025 solver.cpp:218] Iteration 84800 (1.52149 iter/s, 65.7249s/100 iters), loss = 3.49517
I0518 12:59:41.903457 6025 solver.cpp:237] Train net output #0: loss = 2.30763 (* 1 = 2.30763 loss)
I0518 12:59:41.903512 6025 sgd_solver.cpp:105] Iteration 84800, lr = 0.001
I0518 13:00:50.401916 6025 solver.cpp:218] Iteration 84900 (1.45994 iter/s, 68.4959s/100 iters), loss = 3.63545
I0518 13:00:50.403784 6025 solver.cpp:237] Train net output #0: loss = 4.68186 (* 1 = 4.68186 loss)
I0518 13:00:50.403805 6025 sgd_solver.cpp:105] Iteration 84900, lr = 0.001
I0518 13:02:00.696588 6025 solver.cpp:218] Iteration 85000 (1.42267 iter/s, 70.2901s/100 iters), loss = 3.18205
I0518 13:02:00.696900 6025 solver.cpp:237] Train net output #0: loss = 2.37997 (* 1 = 2.37997 loss)
I0518 13:02:00.696936 6025 sgd_solver.cpp:105] Iteration 85000, lr = 0.001
I0518 13:03:09.190042 6025 solver.cpp:218] Iteration 85100 (1.46006 iter/s, 68.4905s/100 iters), loss = 3.49161
I0518 13:03:09.192178 6025 solver.cpp:237] Train net output #0: loss = 4.78961 (* 1 = 4.78961 loss)
I0518 13:03:09.192204 6025 sgd_solver.cpp:105] Iteration 85100, lr = 0.001
I0518 13:04:19.580426 6025 solver.cpp:218] Iteration 85200 (1.42075 iter/s, 70.3856s/100 iters), loss = 3.49954
I0518 13:04:19.580740 6025 solver.cpp:237] Train net output #0: loss = 4.84053 (* 1 = 4.84053 loss)
I0518 13:04:19.580798 6025 sgd_solver.cpp:105] Iteration 85200, lr = 0.001

caffe version compact bilinear can not converge

I fine-tuning on the cifar10 example, but it almost can not converge or converge quite slowly. Would you give some examples for using the compace bilinear layer. Thank you

About applying CBP to other networks

Hi @gy20073 ,I can only find the Compact Bilinear Pooling applying in VGG16 network. So have you ever tried other networks. I try to use ResNet18 with learning rate of conv bn and scale layer setting to 0 before cbp layer during the 1st step of finetuning. But it seems not converge. So I wonder whether the lr of bn and scale layer should be fixed during the first step. Or this method cannot be applied to ResNet?

Cudnn v5 is not supported

I tried making with cudnn v5 but got the following error "error: too few arguments to function ‘cudnnStatus_t cudnnSetPooling2dDescriptor"

This page tells me cudnn v5 is not supported. Switching to cudnn v4 solves the problem.

It will be better if we add a note in the readme page...

compile error, 145 has already be used in newest ver of caffe

so I changed bilinear from 145 to 150, compile passed. Is that working?

在ubuntu16.04环境下编译不成功

敬爱的作者，您好，首先很感谢您做出的贡献。但是我在ubuntu16.04的环境下编译通不过，请问您能写一个在ubuntu16.04环境下编译通过的不。

Test cbp issue

Hi @gy20073 ,

I am trying to test the output of the compact bilinear layer but can't get the result right. I have used this for training and the result is very good. This means the layer should work well. It must be something wrong about my code. It seems this is the best place to ask such questions, sorry if this causes any trouble...

As the paper says, the <psi(x), psi(y)> should approximate <x, y>^2. So my code is below:

import os
import caffe
import numpy as np

caffe.set_mode_gpu()
caffe.set_device(1)

model_prefix = 'only-cbp'

model_def = './' + model_prefix + '.prototxt'
model_weights = './' + model_prefix + '.caffemodel'

input2 = np.random.rand(1, 512, 1, 1)
input1 = np.random.rand(1, 512, 1, 1)

input2_ = np.outer(input2.squeeze(), input2.squeeze()).reshape(1,-1)
input1_ = np.outer(input1.squeeze(), input1.squeeze()).reshape(1,-1)

inner = np.inner(input2_, input1_)[0,0]

for i in range(0, 10):
    net = caffe.Net(model_def, model_weights, caffe.TEST)
    
    net.blobs['data'].data[...] = input2
    output = net.forward()
    output2 = output['bilinear'].squeeze().copy()

    net.blobs['data'].data[...] = input1
    output = net.forward()
    output1 = output['bilinear'].squeeze().copy()

    inner_ = np.inner(output2, output1)
    print(inner_, inner)

The prototxt file is as below:

name: "CUBCompactBilinearNet"
layer {
  name: "data"
  type: "Input"
  top: "data"
  input_param { shape: { dim: 1 dim: 512 dim: 1 dim: 1 } } 
}

layer {
  name: "bilinear_layer"
  type: "CompactBilinear"
  bottom: "data"
  bottom: "data"
  top: "bilinear"
  compact_bilinear_param {
    num_output: 8192
    sum_pool: true
  }
}

I have to pass something as model_def, so I just use a plain VGG net. No weight will be loaded though. A typical print result is as follows:

(1.0636638e+12, 16276.614808319961)
(1.0636638e+12, 16276.614808319961)
(1.0636638e+12, 16276.614808319961)
(1.0636638e+12, 16276.614808319961)
(1.0636638e+12, 16276.614808319961)
(1.0636638e+12, 16276.614808319961)
(1.0636638e+12, 16276.614808319961)
(1.0636638e+12, 16276.614808319961)
(1.0636638e+12, 16276.614808319961)
(1.0636638e+12, 16276.614808319961)

The inner product of cbp output seems to be higher than what it should be. I guess something must be wrong, my goal was to initialize the Net every iteration, but it doesn't seem to do so.

CUB Dataset mismatch in link provided and train_images and test_images

@gy20073 I tried to run the caffe compact bilinear CNN experiment on CUB dataset but there seems to be a disparity between the link provided to download data and the image file names that have been given in train_images.txt and test_images.txt. Could you pls check this. And if possible add a google drive link to the dataset you have used [train and test] for this experiment.

Why I get "Segmentation Fault" when I run "make runtest"?

Error in Training

Hi,

Thanks for releasing your code.
I want to use your compact bilinear feature to do birds classification as described in examples/compact_bilinear

I hope to use CompactBilinear layers with my exisitng Caffe version, so as described in the readme I added all the layer files to respective folders of my Caffe installation. Caffe was built successfully. Then I tried to train VGG with bilinear layers as given in examples/compact_bilieaner. However, I'm getting following error.

I0913 13:31:49.494161 5988 solver.cpp:87] Creating training net from net file: examples/compact_bilinear/ft_all.prototxt [libprotobuf ERROR C:\Users\guillaume\work\caffe-builder\build_v140_x64\packages\protobuf\protobuf_download-prefix\src\protobuf_download\src\google\protobuf\text_format.cc:298] Error parsing text-format caffe.NetParameter: 425:26: Message type "caffe.LayerParameter" has no field named "compact_bilinear_param". F0913 13:31:49.494161 5988 upgrade_proto.cpp:88] Check failed: ReadProtoFromTextFile(param_file, param) Failed to parse NetParameter file: examples/compact_bilinear/ft_all.prototxt *** Check failure stack trace: ***

Where am I doing wrong? Do I have to change layer_factory file as well? Really appreciate if you can help me.

Thank you in advance!

Minor typo in the readme

There is a small typo in the caffe layer example:
The type should be "L2Normalize" instead of "L2Normalization".
layer {
name: "l2_normalization_layer"
type: "L2Normalize"
bottom: "in"
top: "out"
}

How can I solve the issue???

C:\Users\000>E:

E:>cd project\caffe-windows\caffe-windows\examples\SRCNN

E:\Project\caffe-windows\caffe-windows\examples\SRCNN>E:\Project\caffe-windows\c
affe-windows\build\tools\Release\caffe train --solver=E:\Project\caffe-windows\c
affe-windows\examples\SRCNN\SRCNN_solver.prototxt
[libprotobuf ERROR C:\Users\guillaume\work\caffe-builder\build_v140_x64\packages
\protobuf\protobuf_download-prefix\src\protobuf_download\src\google\protobuf\tex
t_format.cc:298] Error parsing text-format caffe.SolverParameter: 18:28: Invalid
escape sequence in string literal.
F0403 10:45:57.559684 10424 upgrade_proto.cpp:1101] Check failed: ReadProtoFromT
extFile(param_file, param) Failed to parse SolverParameter file: E:\Project\caff
e-windows\caffe-windows\examples\SRCNN\SRCNN_solver.prototxt
*** Check failure stack trace: ***

E:\Project\caffe-windows\caffe-windows\examples\SRCNN>
"
How can I solve the issue

Maybe too many labels (30K+), it can not converge

Thanks for your sharing!

I have now applying your code for clothing classification, when I pretrain the network ( ft_last_layer.prototxt) using the script (ft_last_layer.sh ), and the number of training data is about 220K with ID 30K+, it can not converge. The initial loss is about 10, but after a lot of iterations about 100k+, the loss is still about 9. At the mean time , I have made another experiment, all the environment keeps the same as previous experiment except the number of training data become small(about 7K with 800ID) ,which is extracted from the previous training data, now it converge quickly.

So my question is, when the training data is large, why does it not converged? are there existing some tricks to make its convergence?

Thank you very much!

compact bilinear with googlenet and resnet

Hello, Thanks for opening your source code!
I consider about replace VGG net with googlenet or resnet because they have better performance. But the combined net doesn't converge. Have you tried this? What is the performance?

Getting Could not load the image error

@gy20073 I am experimenting with caffe based implementation of compact bilinear CNNs on CUB200 dataset. It runs good for 100 iterations but then I get this error:

Error while training on CUB200-2011 dataset
I1026 13:34:55.142565 28844 sgd_solver.cpp:105] Iteration 100, lr = 1
E1026 13:36:29.419924 28884 io.cpp:80] Could not open or find file examples/compact_bilinear/cub/images/001.black_foote
d_Albatross/Black_Footed_Albatross_0009_34.jpg
F1026 13:36:29.420157 28884 image_data_layer.cpp:148] Check failed: cv_img.data Could not load 001.black_footed_Albatro
ss/Black_Footed_Albatross_0009_34.jpg
*** Check failure stack trace: ***
@ 0x7f02107f35cd google::LogMessage::Fail()
@ 0x7f02107f5433 google::LogMessage::SendToLog()
@ 0x7f02107f315b google::LogMessage::Flush()
@ 0x7f02107f5e1e google::LogMessageFatal::~LogMessageFatal()
@ 0x7f0210e7923c caffe::ImageDataLayer<>::load_batch()
@ 0x7f0210ef83a7 caffe::BasePrefetchingDataLayer<>::InternalThreadEntry()
@ 0x7f0210feab65 caffe::InternalThread::entry()
@ 0x7f0210feba8e boost::detail::thread_data<>::run()
@ 0x7f01f8de85d5 (unknown)
@ 0x7f01ef1346ba start_thread
@ 0x7f020f0703dd clone
@ (nil) (unknown)
./examples/compact_bilinear/ft_last_layer.sh: line 9: 28844 Aborted (core dumped) ./build/tools/caffe t
rain -model "examples/compact_bilinear/ft_last_layer.prototxt" -solver "examples/compact_bilinear/ft_last_layer.solver"
-weights "examples/compact_bilinear/VGG_ILSVRC_16_layers.caffemodel" -gpu 0

I have checked this image does exist in the folder and is totally fine. Could you help in understanding possible reasons why this error could be coming. Can it be due to memory issues ?

Compilation issue

Hi, when i build caffe with the added layers (linked to compact bilinear pooling) as you explain there is and error:
AR -o .build_release/lib/libcaffe.a
LD -o .build_release/lib/libcaffe.so.1.0.0
.build_release/src/caffe/util/kiss_fftr.o: In function kiss_fft_alloc': kiss_fftr.cpp:(.text+0xaa0): multiple definition of kiss_fft_alloc'
.build_release/src/caffe/util/kiss_fft.o:kiss_fft.cpp:(.text+0xaa0): first defined here
.build_release/src/caffe/util/kiss_fftr.o: In function kiss_fft_stride': kiss_fftr.cpp:(.text+0xd20): multiple definition of kiss_fft_stride'
.build_release/src/caffe/util/kiss_fft.o:kiss_fft.cpp:(.text+0xd20): first defined here
.build_release/src/caffe/util/kiss_fftr.o: In function kiss_fft': kiss_fftr.cpp:(.text+0xda0): multiple definition of kiss_fft'
.build_release/src/caffe/util/kiss_fft.o:kiss_fft.cpp:(.text+0xda0): first defined here
.build_release/src/caffe/util/kiss_fftr.o: In function kiss_fft_cleanup': kiss_fftr.cpp:(.text+0xdb0): multiple definition of kiss_fft_cleanup'
.build_release/src/caffe/util/kiss_fft.o:kiss_fft.cpp:(.text+0xdb0): first defined here
.build_release/src/caffe/util/kiss_fftr.o: In function kiss_fft_next_fast_size': kiss_fftr.cpp:(.text+0xdc0): multiple definition of kiss_fft_next_fast_size'
.build_release/src/caffe/util/kiss_fft.o:kiss_fft.cpp:(.text+0xdc0): first defined here
collect2: error: ld returned 1 exit status
Makefile:572: recipe for target '.build_release/lib/libcaffe.so.1.0.0' failed
make: *** [.build_release/lib/libcaffe.so.1.0.0] Error 1

This is related to Kiss_fft module. Has anyboby faced the same error?
I'm using ubuntu 16.04 cuda 8.0

Error on signed_sqrt_layer

Hi.
I am trying to use this version of caffe. I have followed the instructions from BVLC caffe version for the installation.
I am getting this error when I use the command make all:

I am using python 3.6.9 and I tried to install this version of caffe for cpu.

Any ideas on how to fix this?

Thanks!

About the num_output of CompactBilinear layer

Thank you for the code, it really helps me a lot on my project.
And I have a question that how to determine the num_output of CompactBilinear layer ?

Error: Unknown layer type lrn

Hello, thanks for your code.
Now I am trying to run your code but get error 'Unknown layer type lrn' in vl_simplenn;
May I ask about the reason?

About applying

Bird classification example loss does not converge

Hi, Thanks for your code. I followed your instructions to test run the fy_last_layer.sh provided in the example for bird classification. However, the performance does not quite make sense (keeps showing close to 0 mean accuracy).

I guess the main problem might be the VGG model I downloaded was trained with 224 by 224 input while your ft_last_layer.pt is 512 by 512. I have one following question:
Does image input size 512 vs 224 affect the performance by a huge margin?

Many thanks!

CUFFT error

When I train my model on cars dataset, I encountered this error, it seems like fft's error:
Check failed: (cufftPlanMany(&plan_noinv_1 , 1, &n, __null, 0, 0, __null, 0, 0, CUFFT_R2C, hw)) == CUFFT_SUCCESS (2 vs. 0) ...
How could i solve this problem? Does it have any relationship with my cuda or cudnn?

make runtest error

Hi @gy20073!
Thank you for opening your code!
I want to implement using caffe.
I use latest version caffe, cudnn v5 and cuda 8.0 in ubuntu 14.04.
So, to use your compact bilinear pooling with my latest versions, I followed your instructions.
But I have an error when run 'make runtest'.

[----------] 1 test from LayerFactoryTest/1, where TypeParam = caffe::CPUDevice
[ RUN ] LayerFactoryTest/1.TestCreateLayer
*** Aborted at 1499260043 (unix time) try "date -d @1499260043" if you are using GNU date ***
PC: @ 0x2adac607ad1c (unknown)
*** SIGSEGV (@0x418) received by PID 8499 (TID 0x2adabeccec80) from PID 1048; stack trace: ***
@ 0x2adac5dea330 (unknown)
@ 0x2adac607ad1c (unknown)
@ 0x2adac53eceb7 caffe::CompactBilinearLayer<>::~CompactBilinearLayer()
@ 0x2adac53ed309 caffe::CompactBilinearLayer<>::~CompactBilinearLayer()
@ 0x4e8d8b caffe::LayerFactoryTest_TestCreateLayer_Test<>::TestBody()
@ 0x916273 testing::internal::HandleExceptionsInMethodIfSupported<>()
@ 0x90cf57 testing::Test::Run()
@ 0x90cffe testing::TestInfo::Run()
@ 0x90d105 testing::TestCase::Run()
@ 0x910448 testing::internal::UnitTestImpl::RunAllTests()
@ 0x9106d7 testing::UnitTest::Run()
@ 0x47063f main
@ 0x2adac6019f45 (unknown)
@ 0x478599 (unknown)
@ 0x0 (unknown)

Could you help me to solve this problem?

some image paths don't exist in train_images.txt or test_images.txt file

hi @gy20073 since i want to run $CAFFE_ROOT/examples/compact_bilinear/ft_all.sh, i found some image paths don't exist (i download the images from $CAFFE_ROOT/examples/compact_bilinear/readme.txt). can you please verify it? thanks.

Cannot reach the stated 84.9% accuraccy

Hi, I run the example and only get 83.1% accuracy after all done. I think it's a good result but far from what it suppose to be. I don't know what is going wrong?
appreciate a lot.

could not link with cufft

append CUDA_cufft_LIBRARY to Caffe_LINKER_LIBS in Cuda.cmake file

Test accuracy is low on cub

I download the provided trained model from the website
(https://drive.google.com/open?id=0B0ldy05JZFSaS1pIUjBaSUxMTUU)
and test the cub dataset. But I get only 0.003 test accuracy and high loss up to 5.29.
And, I used the script in the folder(examples/compact_bilinear) and I didn't modify anything.
Could you help me to solve this problem?

Recommend Projects

React

A declarative, efficient, and flexible JavaScript library for building user interfaces.
Vue.js

🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript

TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
TensorFlow

An Open Source Machine Learning Framework for Everyone
Django

The Web framework for perfectionists with deadlines.
Laravel

A PHP framework for web artisans
D3

Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

javascript

JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
web

Some thing interesting about web. New door for the world.
server

A server is a program made to process requests and deliver data to clients.
Machine learning

Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Visualization

Some thing interesting about visualization, use data art
Game

Some thing interesting about game, make everyone happy.

Recommend Org

Facebook

We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft

Open source projects and samples from Microsoft.
Google

Google ❤️ Open Source for everyone.
Alibaba

Alibaba Open Source for everyone
D3

Data-Driven Documents codes.
Tencent

China tencent open source team.