训练:Epoch[000/200] Iteration[200/800] Loss: 31.4417 Acc: 0.0150
训练:Epoch[000/200] Iteration[400/800] Loss: 30.3688 Acc: 0.0366
训练:Epoch[000/200] Iteration[600/800] Loss: 29.5197 Acc: 0.0711
训练:Epoch[000/200] Iteration[800/800] Loss: 28.7108 Acc: 0.1163
训练:Epoch[001/200] Iteration[200/800] Loss: 24.0601 Acc: 0.4041
训练:Epoch[001/200] Iteration[400/800] Loss: 22.7299 Acc: 0.4772
训练:Epoch[001/200] Iteration[600/800] Loss: 20.7830 Acc: 0.5585
训练:Epoch[001/200] Iteration[800/800] Loss: 18.5926 Acc: 0.6326
训练:Epoch[002/200] Iteration[200/800] Loss: 6.6024 Acc: 0.9447
训练:Epoch[002/200] Iteration[400/800] Loss: 5.5441 Acc: 0.9561
训练:Epoch[002/200] Iteration[600/800] Loss: 4.7737 Acc: 0.9620
训练:Epoch[002/200] Iteration[800/800] Loss: 4.2458 Acc: 0.9663
训练:Epoch[003/200] Iteration[200/800] Loss: 1.1113 Acc: 0.9941
训练:Epoch[003/200] Iteration[400/800] Loss: 0.9910 Acc: 0.9945
训练:Epoch[003/200] Iteration[600/800] Loss: 0.9948 Acc: 0.9935
训练:Epoch[003/200] Iteration[800/800] Loss: 0.9916 Acc: 0.9935
训练:Epoch[004/200] Iteration[200/800] Loss: 0.4172 Acc: 0.9991
训练:Epoch[004/200] Iteration[400/800] Loss: 0.5114 Acc: 0.9980
训练:Epoch[004/200] Iteration[600/800] Loss: 0.5832 Acc: 0.9970
训练:Epoch[004/200] Iteration[800/800] Loss: 0.5862 Acc: 0.9970
训练:Epoch[005/200] Iteration[200/800] Loss: 0.4569 Acc: 0.9975
训练:Epoch[005/200] Iteration[400/800] Loss: 0.4856 Acc: 0.9978
训练:Epoch[005/200] Iteration[600/800] Loss: 0.5017 Acc: 0.9981
训练:Epoch[005/200] Iteration[800/800] Loss: 0.5256 Acc: 0.9980
训练:Epoch[006/200] Iteration[200/800] Loss: 0.3760 Acc: 0.9978
训练:Epoch[006/200] Iteration[400/800] Loss: 0.3846 Acc: 0.9984
训练:Epoch[006/200] Iteration[600/800] Loss: 0.4201 Acc: 0.9986
训练:Epoch[006/200] Iteration[800/800] Loss: 0.4582 Acc: 0.9987
训练:Epoch[007/200] Iteration[200/800] Loss: 0.3485 Acc: 0.9984
训练:Epoch[007/200] Iteration[400/800] Loss: 0.3223 Acc: 0.9989
训练:Epoch[007/200] Iteration[600/800] Loss: 0.3400 Acc: 0.9986
训练:Epoch[007/200] Iteration[800/800] Loss: 0.3661 Acc: 0.9986
训练:Epoch[008/200] Iteration[200/800] Loss: 0.3281 Acc: 0.9988
训练:Epoch[008/200] Iteration[400/800] Loss: 0.2747 Acc: 0.9992
训练:Epoch[008/200] Iteration[600/800] Loss: 0.2884 Acc: 0.9991
训练:Epoch[008/200] Iteration[800/800] Loss: 0.2979 Acc: 0.9989
训练:Epoch[009/200] Iteration[200/800] Loss: 0.2443 Acc: 0.9997
训练:Epoch[009/200] Iteration[400/800] Loss: 0.2673 Acc: 0.9994
训练:Epoch[009/200] Iteration[600/800] Loss: 0.2489 Acc: 0.9991
训练:Epoch[009/200] Iteration[800/800] Loss: 0.2690 Acc: 0.9991
测试:	Epoch[009/200] Iteration[200/200] Loss: 70.5247 Acc: 0.0034
训练:Epoch[010/200] Iteration[200/800] Loss: 0.2986 Acc: 0.9984
训练:Epoch[010/200] Iteration[400/800] Loss: 0.2786 Acc: 0.9989
训练:Epoch[010/200] Iteration[600/800] Loss: 0.3012 Acc: 0.9988
训练:Epoch[010/200] Iteration[800/800] Loss: 0.3132 Acc: 0.9988
训练:Epoch[011/200] Iteration[200/800] Loss: 0.2164 Acc: 0.9997
训练:Epoch[011/200] Iteration[400/800] Loss: 0.1939 Acc: 0.9997
训练:Epoch[011/200] Iteration[600/800] Loss: 0.2011 Acc: 0.9996
训练:Epoch[011/200] Iteration[800/800] Loss: 0.2359 Acc: 0.9994
训练:Epoch[012/200] Iteration[200/800] Loss: 0.1740 Acc: 0.9994
训练:Epoch[012/200] Iteration[400/800] Loss: 0.1731 Acc: 0.9992
训练:Epoch[012/200] Iteration[600/800] Loss: 0.1818 Acc: 0.9990
训练:Epoch[012/200] Iteration[800/800] Loss: 0.1747 Acc: 0.9992
训练:Epoch[013/200] Iteration[200/800] Loss: 0.0872 Acc: 1.0000
训练:Epoch[013/200] Iteration[400/800] Loss: 0.1794 Acc: 0.9991
训练:Epoch[013/200] Iteration[600/800] Loss: 0.2314 Acc: 0.9989
训练:Epoch[013/200] Iteration[800/800] Loss: 0.2535 Acc: 0.9985
训练:Epoch[014/200] Iteration[200/800] Loss: 0.1489 Acc: 1.0000
训练:Epoch[014/200] Iteration[400/800] Loss: 0.1403 Acc: 1.0000
训练:Epoch[014/200] Iteration[600/800] Loss: 0.1464 Acc: 0.9997
训练:Epoch[014/200] Iteration[800/800] Loss: 0.1737 Acc: 0.9995
训练:Epoch[015/200] Iteration[200/800] Loss: 0.1882 Acc: 0.9991
训练:Epoch[015/200] Iteration[400/800] Loss: 0.1619 Acc: 0.9995
训练:Epoch[015/200] Iteration[600/800] Loss: 0.1531 Acc: 0.9995
训练:Epoch[015/200] Iteration[800/800] Loss: 0.1638 Acc: 0.9995
训练:Epoch[016/200] Iteration[200/800] Loss: 0.1699 Acc: 0.9991
训练:Epoch[016/200] Iteration[400/800] Loss: 0.1597 Acc: 0.9994
训练:Epoch[016/200] Iteration[600/800] Loss: 0.1357 Acc: 0.9996
训练:Epoch[016/200] Iteration[800/800] Loss: 0.1217 Acc: 0.9997
训练:Epoch[017/200] Iteration[200/800] Loss: 0.1125 Acc: 1.0000
训练:Epoch[017/200] Iteration[400/800] Loss: 0.1356 Acc: 1.0000
训练:Epoch[017/200] Iteration[600/800] Loss: 0.1202 Acc: 1.0000
训练:Epoch[017/200] Iteration[800/800] Loss: 0.1256 Acc: 0.9999
训练:Epoch[018/200] Iteration[200/800] Loss: 0.1875 Acc: 1.0000
训练:Epoch[018/200] Iteration[400/800] Loss: 0.1626 Acc: 0.9998
训练:Epoch[018/200] Iteration[600/800] Loss: 0.1328 Acc: 0.9999
训练:Epoch[018/200] Iteration[800/800] Loss: 0.1550 Acc: 0.9996
训练:Epoch[019/200] Iteration[200/800] Loss: 0.2137 Acc: 0.9988
训练:Epoch[019/200] Iteration[400/800] Loss: 0.2267 Acc: 0.9986
训练:Epoch[019/200] Iteration[600/800] Loss: 0.2214 Acc: 0.9988
训练:Epoch[019/200] Iteration[800/800] Loss: 0.1992 Acc: 0.9990
测试:	Epoch[019/200] Iteration[200/200] Loss: 73.0272 Acc: 0.0034
训练:Epoch[020/200] Iteration[200/800] Loss: 0.0703 Acc: 1.0000
训练:Epoch[020/200] Iteration[400/800] Loss: 0.0830 Acc: 0.9998
训练:Epoch[020/200] Iteration[600/800] Loss: 0.0951 Acc: 0.9997
训练:Epoch[020/200] Iteration[800/800] Loss: 0.1079 Acc: 0.9996
训练:Epoch[021/200] Iteration[200/800] Loss: 0.1066 Acc: 0.9997
训练:Epoch[021/200] Iteration[400/800] Loss: 0.0669 Acc: 0.9998
训练:Epoch[021/200] Iteration[600/800] Loss: 0.0569 Acc: 0.9999
训练:Epoch[021/200] Iteration[800/800] Loss: 0.0621 Acc: 0.9999
训练:Epoch[022/200] Iteration[200/800] Loss: 0.0686 Acc: 0.9997
训练:Epoch[022/200] Iteration[400/800] Loss: 0.0897 Acc: 0.9997
训练:Epoch[022/200] Iteration[600/800] Loss: 0.1279 Acc: 0.9996
训练:Epoch[022/200] Iteration[800/800] Loss: 0.1492 Acc: 0.9995
训练:Epoch[023/200] Iteration[200/800] Loss: 0.1204 Acc: 0.9994
训练:Epoch[023/200] Iteration[400/800] Loss: 0.1009 Acc: 0.9997
训练:Epoch[023/200] Iteration[600/800] Loss: 0.0889 Acc: 0.9998
训练:Epoch[023/200] Iteration[800/800] Loss: 0.1059 Acc: 0.9995
训练:Epoch[024/200] Iteration[200/800] Loss: 0.0472 Acc: 0.9997
训练:Epoch[024/200] Iteration[400/800] Loss: 0.0737 Acc: 0.9997
训练:Epoch[024/200] Iteration[600/800] Loss: 0.1199 Acc: 0.9994
训练:Epoch[024/200] Iteration[800/800] Loss: 0.1226 Acc: 0.9994
训练:Epoch[025/200] Iteration[200/800] Loss: 0.0767 Acc: 0.9994
训练:Epoch[025/200] Iteration[400/800] Loss: 0.0576 Acc: 0.9997
训练:Epoch[025/200] Iteration[600/800] Loss: 0.0554 Acc: 0.9998
训练:Epoch[025/200] Iteration[800/800] Loss: 0.0558 Acc: 0.9998
训练:Epoch[026/200] Iteration[200/800] Loss: 0.0938 Acc: 0.9994
训练:Epoch[026/200] Iteration[400/800] Loss: 0.1182 Acc: 0.9995
训练:Epoch[026/200] Iteration[600/800] Loss: 0.1350 Acc: 0.9995
训练:Epoch[026/200] Iteration[800/800] Loss: 0.1123 Acc: 0.9996
训练:Epoch[027/200] Iteration[200/800] Loss: 0.0320 Acc: 1.0000
训练:Epoch[027/200] Iteration[400/800] Loss: 0.0683 Acc: 0.9997
训练:Epoch[027/200] Iteration[600/800] Loss: 0.0746 Acc: 0.9997
训练:Epoch[027/200] Iteration[800/800] Loss: 0.0952 Acc: 0.9995
训练:Epoch[028/200] Iteration[200/800] Loss: 0.0627 Acc: 1.0000
训练:Epoch[028/200] Iteration[400/800] Loss: 0.0870 Acc: 0.9998
训练:Epoch[028/200] Iteration[600/800] Loss: 0.0757 Acc: 0.9999
训练:Epoch[028/200] Iteration[800/800] Loss: 0.0756 Acc: 0.9999
训练:Epoch[029/200] Iteration[200/800] Loss: 0.0888 Acc: 0.9997
训练:Epoch[029/200] Iteration[400/800] Loss: 0.0957 Acc: 0.9995
训练:Epoch[029/200] Iteration[600/800] Loss: 0.1026 Acc: 0.9997
训练:Epoch[029/200] Iteration[800/800] Loss: 0.1089 Acc: 0.9998
测试:	Epoch[029/200] Iteration[200/200] Loss: 73.7379 Acc: 0.0034
训练:Epoch[030/200] Iteration[200/800] Loss: 0.0408 Acc: 1.0000
训练:Epoch[030/200] Iteration[400/800] Loss: 0.0562 Acc: 1.0000
训练:Epoch[030/200] Iteration[600/800] Loss: 0.0768 Acc: 0.9998
训练:Epoch[030/200] Iteration[800/800] Loss: 0.0777 Acc: 0.9998
训练:Epoch[031/200] Iteration[200/800] Loss: 0.0432 Acc: 0.9997
训练:Epoch[031/200] Iteration[400/800] Loss: 0.0441 Acc: 0.9997
训练:Epoch[031/200] Iteration[600/800] Loss: 0.0489 Acc: 0.9997
训练:Epoch[031/200] Iteration[800/800] Loss: 0.0485 Acc: 0.9997
训练:Epoch[032/200] Iteration[200/800] Loss: 0.0065 Acc: 1.0000
训练:Epoch[032/200] Iteration[400/800] Loss: 0.0216 Acc: 0.9998
训练:Epoch[032/200] Iteration[600/800] Loss: 0.0501 Acc: 0.9998
训练:Epoch[032/200] Iteration[800/800] Loss: 0.0555 Acc: 0.9998
训练:Epoch[033/200] Iteration[200/800] Loss: 0.1007 Acc: 1.0000
训练:Epoch[033/200] Iteration[400/800] Loss: 0.1087 Acc: 1.0000
训练:Epoch[033/200] Iteration[600/800] Loss: 0.0891 Acc: 1.0000
训练:Epoch[033/200] Iteration[800/800] Loss: 0.0773 Acc: 1.0000
训练:Epoch[034/200] Iteration[200/800] Loss: 0.0621 Acc: 1.0000
训练:Epoch[034/200] Iteration[400/800] Loss: 0.0874 Acc: 0.9995
训练:Epoch[034/200] Iteration[600/800] Loss: 0.0809 Acc: 0.9997
训练:Epoch[034/200] Iteration[800/800] Loss: 0.0950 Acc: 0.9997
训练:Epoch[035/200] Iteration[200/800] Loss: 0.0426 Acc: 1.0000
训练:Epoch[035/200] Iteration[400/800] Loss: 0.0439 Acc: 1.0000
训练:Epoch[035/200] Iteration[600/800] Loss: 0.0395 Acc: 1.0000
训练:Epoch[035/200] Iteration[800/800] Loss: 0.0367 Acc: 1.0000
训练:Epoch[036/200] Iteration[200/800] Loss: 0.0140 Acc: 1.0000
训练:Epoch[036/200] Iteration[400/800] Loss: 0.0125 Acc: 1.0000
训练:Epoch[036/200] Iteration[600/800] Loss: 0.0145 Acc: 1.0000
训练:Epoch[036/200] Iteration[800/800] Loss: 0.0395 Acc: 0.9999
训练:Epoch[037/200] Iteration[200/800] Loss: 0.1151 Acc: 0.9991
训练:Epoch[037/200] Iteration[400/800] Loss: 0.1243 Acc: 0.9992
训练:Epoch[037/200] Iteration[600/800] Loss: 0.1126 Acc: 0.9994
训练:Epoch[037/200] Iteration[800/800] Loss: 0.1137 Acc: 0.9993
训练:Epoch[038/200] Iteration[200/800] Loss: 0.0593 Acc: 1.0000
训练:Epoch[038/200] Iteration[400/800] Loss: 0.0621 Acc: 1.0000
训练:Epoch[038/200] Iteration[600/800] Loss: 0.0576 Acc: 0.9999
训练:Epoch[038/200] Iteration[800/800] Loss: 0.0627 Acc: 0.9998
训练:Epoch[039/200] Iteration[200/800] Loss: 0.0179 Acc: 1.0000
训练:Epoch[039/200] Iteration[400/800] Loss: 0.0116 Acc: 1.0000
训练:Epoch[039/200] Iteration[600/800] Loss: 0.0158 Acc: 1.0000
训练:Epoch[039/200] Iteration[800/800] Loss: 0.0161 Acc: 1.0000
测试:	Epoch[039/200] Iteration[200/200] Loss: 74.7128 Acc: 0.0041
训练:Epoch[040/200] Iteration[200/800] Loss: 0.0158 Acc: 1.0000
训练:Epoch[040/200] Iteration[400/800] Loss: 0.0835 Acc: 0.9994
训练:Epoch[040/200] Iteration[600/800] Loss: 0.1307 Acc: 0.9990
训练:Epoch[040/200] Iteration[800/800] Loss: 0.1188 Acc: 0.9992
训练:Epoch[041/200] Iteration[200/800] Loss: 0.0349 Acc: 1.0000
训练:Epoch[041/200] Iteration[400/800] Loss: 0.0376 Acc: 1.0000
训练:Epoch[041/200] Iteration[600/800] Loss: 0.0339 Acc: 1.0000
训练:Epoch[041/200] Iteration[800/800] Loss: 0.0319 Acc: 1.0000
训练:Epoch[042/200] Iteration[200/800] Loss: 0.0827 Acc: 0.9994
训练:Epoch[042/200] Iteration[400/800] Loss: 0.0621 Acc: 0.9995
训练:Epoch[042/200] Iteration[600/800] Loss: 0.0523 Acc: 0.9997
训练:Epoch[042/200] Iteration[800/800] Loss: 0.0752 Acc: 0.9995
训练:Epoch[043/200] Iteration[200/800] Loss: 0.0566 Acc: 0.9997
训练:Epoch[043/200] Iteration[400/800] Loss: 0.0759 Acc: 0.9997
训练:Epoch[043/200] Iteration[600/800] Loss: 0.0858 Acc: 0.9998
训练:Epoch[043/200] Iteration[800/800] Loss: 0.0756 Acc: 0.9998
训练:Epoch[044/200] Iteration[200/800] Loss: 0.0690 Acc: 0.9991
训练:Epoch[044/200] Iteration[400/800] Loss: 0.0487 Acc: 0.9995
训练:Epoch[044/200] Iteration[600/800] Loss: 0.0423 Acc: 0.9997
训练:Epoch[044/200] Iteration[800/800] Loss: 0.0363 Acc: 0.9998
训练:Epoch[045/200] Iteration[200/800] Loss: 0.0282 Acc: 1.0000
训练:Epoch[045/200] Iteration[400/800] Loss: 0.0563 Acc: 0.9995
训练:Epoch[045/200] Iteration[600/800] Loss: 0.0599 Acc: 0.9996
训练:Epoch[045/200] Iteration[800/800] Loss: 0.0628 Acc: 0.9996
训练:Epoch[046/200] Iteration[200/800] Loss: 0.0459 Acc: 0.9997
训练:Epoch[046/200] Iteration[400/800] Loss: 0.0483 Acc: 0.9997
训练:Epoch[046/200] Iteration[600/800] Loss: 0.0371 Acc: 0.9998
训练:Epoch[046/200] Iteration[800/800] Loss: 0.0299 Acc: 0.9998
训练:Epoch[047/200] Iteration[200/800] Loss: 0.0024 Acc: 1.0000
训练:Epoch[047/200] Iteration[400/800] Loss: 0.0113 Acc: 1.0000
训练:Epoch[047/200] Iteration[600/800] Loss: 0.0364 Acc: 0.9998
训练:Epoch[047/200] Iteration[800/800] Loss: 0.0658 Acc: 0.9995
训练:Epoch[048/200] Iteration[200/800] Loss: 0.0521 Acc: 0.9997
训练:Epoch[048/200] Iteration[400/800] Loss: 0.0485 Acc: 0.9997
训练:Epoch[048/200] Iteration[600/800] Loss: 0.0434 Acc: 0.9998
训练:Epoch[048/200] Iteration[800/800] Loss: 0.0376 Acc: 0.9998
训练:Epoch[049/200] Iteration[200/800] Loss: 0.0072 Acc: 1.0000
训练:Epoch[049/200] Iteration[400/800] Loss: 0.0114 Acc: 1.0000
训练:Epoch[049/200] Iteration[600/800] Loss: 0.0176 Acc: 0.9998
训练:Epoch[049/200] Iteration[800/800] Loss: 0.0211 Acc: 0.9998
测试:	Epoch[049/200] Iteration[200/200] Loss: 74.1192 Acc: 0.0034
训练:Epoch[050/200] Iteration[200/800] Loss: 0.0243 Acc: 1.0000
训练:Epoch[050/200] Iteration[400/800] Loss: 0.0382 Acc: 0.9998
训练:Epoch[050/200] Iteration[600/800] Loss: 0.0511 Acc: 0.9999
训练:Epoch[050/200] Iteration[800/800] Loss: 0.0549 Acc: 0.9998
训练:Epoch[051/200] Iteration[200/800] Loss: 0.0950 Acc: 1.0000
训练:Epoch[051/200] Iteration[400/800] Loss: 0.0863 Acc: 0.9997
训练:Epoch[051/200] Iteration[600/800] Loss: 0.0802 Acc: 0.9998
训练:Epoch[051/200] Iteration[800/800] Loss: 0.0867 Acc: 0.9997
训练:Epoch[052/200] Iteration[200/800] Loss: 0.0533 Acc: 0.9997
训练:Epoch[052/200] Iteration[400/800] Loss: 0.0414 Acc: 0.9998
训练:Epoch[052/200] Iteration[600/800] Loss: 0.0542 Acc: 0.9999
训练:Epoch[052/200] Iteration[800/800] Loss: 0.0598 Acc: 0.9998
训练:Epoch[053/200] Iteration[200/800] Loss: 0.0211 Acc: 1.0000
训练:Epoch[053/200] Iteration[400/800] Loss: 0.0439 Acc: 0.9997
训练:Epoch[053/200] Iteration[600/800] Loss: 0.0369 Acc: 0.9997
训练:Epoch[053/200] Iteration[800/800] Loss: 0.0357 Acc: 0.9998
训练:Epoch[054/200] Iteration[200/800] Loss: 0.0410 Acc: 0.9997
训练:Epoch[054/200] Iteration[400/800] Loss: 0.0326 Acc: 0.9998
训练:Epoch[054/200] Iteration[600/800] Loss: 0.0308 Acc: 0.9999
训练:Epoch[054/200] Iteration[800/800] Loss: 0.0447 Acc: 0.9998
训练:Epoch[055/200] Iteration[200/800] Loss: 0.0540 Acc: 0.9997
训练:Epoch[055/200] Iteration[400/800] Loss: 0.0342 Acc: 0.9998
训练:Epoch[055/200] Iteration[600/800] Loss: 0.0364 Acc: 0.9998
训练:Epoch[055/200] Iteration[800/800] Loss: 0.0324 Acc: 0.9998
训练:Epoch[056/200] Iteration[200/800] Loss: 0.0293 Acc: 0.9997
训练:Epoch[056/200] Iteration[400/800] Loss: 0.0329 Acc: 0.9998
训练:Epoch[056/200] Iteration[600/800] Loss: 0.0258 Acc: 0.9999
训练:Epoch[056/200] Iteration[800/800] Loss: 0.0212 Acc: 0.9999
训练:Epoch[057/200] Iteration[200/800] Loss: 0.0240 Acc: 0.9997
训练:Epoch[057/200] Iteration[400/800] Loss: 0.0377 Acc: 0.9995
训练:Epoch[057/200] Iteration[600/800] Loss: 0.0495 Acc: 0.9996
训练:Epoch[057/200] Iteration[800/800] Loss: 0.0658 Acc: 0.9995
训练:Epoch[058/200] Iteration[200/800] Loss: 0.0438 Acc: 0.9997
训练:Epoch[058/200] Iteration[400/800] Loss: 0.0378 Acc: 0.9998
训练:Epoch[058/200] Iteration[600/800] Loss: 0.0481 Acc: 0.9999
训练:Epoch[058/200] Iteration[800/800] Loss: 0.0401 Acc: 0.9999
训练:Epoch[059/200] Iteration[200/800] Loss: 0.0160 Acc: 1.0000
训练:Epoch[059/200] Iteration[400/800] Loss: 0.0153 Acc: 1.0000
训练:Epoch[059/200] Iteration[600/800] Loss: 0.0424 Acc: 0.9999
训练:Epoch[059/200] Iteration[800/800] Loss: 0.0506 Acc: 0.9999
测试:	Epoch[059/200] Iteration[200/200] Loss: 74.4417 Acc: 0.0034
训练:Epoch[060/200] Iteration[200/800] Loss: 0.0420 Acc: 0.9997
训练:Epoch[060/200] Iteration[400/800] Loss: 0.0256 Acc: 0.9998
训练:Epoch[060/200] Iteration[600/800] Loss: 0.0291 Acc: 0.9998
训练:Epoch[060/200] Iteration[800/800] Loss: 0.0347 Acc: 0.9998
训练:Epoch[061/200] Iteration[200/800] Loss: 0.0302 Acc: 1.0000
训练:Epoch[061/200] Iteration[400/800] Loss: 0.0213 Acc: 1.0000
训练:Epoch[061/200] Iteration[600/800] Loss: 0.0265 Acc: 0.9999
训练:Epoch[061/200] Iteration[800/800] Loss: 0.0281 Acc: 0.9998
训练:Epoch[062/200] Iteration[200/800] Loss: 0.0327 Acc: 0.9997
训练:Epoch[062/200] Iteration[400/800] Loss: 0.0312 Acc: 0.9998
训练:Epoch[062/200] Iteration[600/800] Loss: 0.0391 Acc: 0.9997
训练:Epoch[062/200] Iteration[800/800] Loss: 0.0451 Acc: 0.9998
训练:Epoch[063/200] Iteration[200/800] Loss: 0.0801 Acc: 1.0000
训练:Epoch[063/200] Iteration[400/800] Loss: 0.0649 Acc: 1.0000
训练:Epoch[063/200] Iteration[600/800] Loss: 0.0479 Acc: 1.0000
训练:Epoch[063/200] Iteration[800/800] Loss: 0.0397 Acc: 1.0000
训练:Epoch[064/200] Iteration[200/800] Loss: 0.0234 Acc: 1.0000
训练:Epoch[064/200] Iteration[400/800] Loss: 0.0312 Acc: 1.0000
训练:Epoch[064/200] Iteration[600/800] Loss: 0.0352 Acc: 0.9999
训练:Epoch[064/200] Iteration[800/800] Loss: 0.0370 Acc: 0.9998
训练:Epoch[065/200] Iteration[200/800] Loss: 0.0192 Acc: 1.0000
训练:Epoch[065/200] Iteration[400/800] Loss: 0.0213 Acc: 1.0000
训练:Epoch[065/200] Iteration[600/800] Loss: 0.0238 Acc: 0.9999
训练:Epoch[065/200] Iteration[800/800] Loss: 0.0215 Acc: 0.9998
训练:Epoch[066/200] Iteration[200/800] Loss: 0.0555 Acc: 0.9997
训练:Epoch[066/200] Iteration[400/800] Loss: 0.0325 Acc: 0.9998
训练:Epoch[066/200] Iteration[600/800] Loss: 0.0388 Acc: 0.9998
训练:Epoch[066/200] Iteration[800/800] Loss: 0.0340 Acc: 0.9998
训练:Epoch[067/200] Iteration[200/800] Loss: 0.0072 Acc: 1.0000
训练:Epoch[067/200] Iteration[400/800] Loss: 0.0176 Acc: 1.0000
训练:Epoch[067/200] Iteration[600/800] Loss: 0.0275 Acc: 1.0000
训练:Epoch[067/200] Iteration[800/800] Loss: 0.0505 Acc: 0.9997
训练:Epoch[068/200] Iteration[200/800] Loss: 0.0465 Acc: 1.0000
训练:Epoch[068/200] Iteration[400/800] Loss: 0.0290 Acc: 1.0000
训练:Epoch[068/200] Iteration[600/800] Loss: 0.0353 Acc: 0.9999
训练:Epoch[068/200] Iteration[800/800] Loss: 0.0316 Acc: 0.9999
训练:Epoch[069/200] Iteration[200/800] Loss: 0.0431 Acc: 0.9997
训练:Epoch[069/200] Iteration[400/800] Loss: 0.0323 Acc: 0.9998
训练:Epoch[069/200] Iteration[600/800] Loss: 0.0247 Acc: 0.9999
训练:Epoch[069/200] Iteration[800/800] Loss: 0.0240 Acc: 0.9999
测试:	Epoch[069/200] Iteration[200/200] Loss: 74.9472 Acc: 0.0037
训练:Epoch[070/200] Iteration[200/800] Loss: 0.0028 Acc: 1.0000
训练:Epoch[070/200] Iteration[400/800] Loss: 0.0024 Acc: 1.0000
训练:Epoch[070/200] Iteration[600/800] Loss: 0.0027 Acc: 1.0000
训练:Epoch[070/200] Iteration[800/800] Loss: 0.0049 Acc: 1.0000
训练:Epoch[071/200] Iteration[200/800] Loss: 0.0018 Acc: 1.0000
训练:Epoch[071/200] Iteration[400/800] Loss: 0.0212 Acc: 0.9998
训练:Epoch[071/200] Iteration[600/800] Loss: 0.0457 Acc: 0.9998
训练:Epoch[071/200] Iteration[800/800] Loss: 0.0470 Acc: 0.9998
训练:Epoch[072/200] Iteration[200/800] Loss: 0.0619 Acc: 0.9994
训练:Epoch[072/200] Iteration[400/800] Loss: 0.0746 Acc: 0.9995
训练:Epoch[072/200] Iteration[600/800] Loss: 0.0555 Acc: 0.9997
训练:Epoch[072/200] Iteration[800/800] Loss: 0.0478 Acc: 0.9997
训练:Epoch[073/200] Iteration[200/800] Loss: 0.0126 Acc: 1.0000
训练:Epoch[073/200] Iteration[400/800] Loss: 0.0163 Acc: 1.0000
训练:Epoch[073/200] Iteration[600/800] Loss: 0.0155 Acc: 1.0000
训练:Epoch[073/200] Iteration[800/800] Loss: 0.0227 Acc: 0.9999
训练:Epoch[074/200] Iteration[200/800] Loss: 0.0760 Acc: 0.9988
训练:Epoch[074/200] Iteration[400/800] Loss: 0.0542 Acc: 0.9994
训练:Epoch[074/200] Iteration[600/800] Loss: 0.0456 Acc: 0.9996
训练:Epoch[074/200] Iteration[800/800] Loss: 0.0394 Acc: 0.9997
训练:Epoch[075/200] Iteration[200/800] Loss: 0.0036 Acc: 1.0000
训练:Epoch[075/200] Iteration[400/800] Loss: 0.0199 Acc: 1.0000
训练:Epoch[075/200] Iteration[600/800] Loss: 0.0221 Acc: 1.0000
训练:Epoch[075/200] Iteration[800/800] Loss: 0.0206 Acc: 1.0000
训练:Epoch[076/200] Iteration[200/800] Loss: 0.0257 Acc: 0.9997
训练:Epoch[076/200] Iteration[400/800] Loss: 0.0406 Acc: 0.9997
训练:Epoch[076/200] Iteration[600/800] Loss: 0.0323 Acc: 0.9998
训练:Epoch[076/200] Iteration[800/800] Loss: 0.0328 Acc: 0.9997
训练:Epoch[077/200] Iteration[200/800] Loss: 0.0439 Acc: 0.9997
训练:Epoch[077/200] Iteration[400/800] Loss: 0.0290 Acc: 0.9998
训练:Epoch[077/200] Iteration[600/800] Loss: 0.0258 Acc: 0.9998
训练:Epoch[077/200] Iteration[800/800] Loss: 0.0301 Acc: 0.9998
训练:Epoch[078/200] Iteration[200/800] Loss: 0.0466 Acc: 0.9997
训练:Epoch[078/200] Iteration[400/800] Loss: 0.0493 Acc: 0.9997
训练:Epoch[078/200] Iteration[600/800] Loss: 0.0367 Acc: 0.9998
训练:Epoch[078/200] Iteration[800/800] Loss: 0.0302 Acc: 0.9998
训练:Epoch[079/200] Iteration[200/800] Loss: 0.0038 Acc: 1.0000
训练:Epoch[079/200] Iteration[400/800] Loss: 0.0036 Acc: 1.0000
训练:Epoch[079/200] Iteration[600/800] Loss: 0.0123 Acc: 1.0000
训练:Epoch[079/200] Iteration[800/800] Loss: 0.0169 Acc: 1.0000
测试:	Epoch[079/200] Iteration[200/200] Loss: 74.2859 Acc: 0.0037
训练:Epoch[080/200] Iteration[200/800] Loss: 0.0255 Acc: 1.0000
训练:Epoch[080/200] Iteration[400/800] Loss: 0.0292 Acc: 1.0000
训练:Epoch[080/200] Iteration[600/800] Loss: 0.0273 Acc: 1.0000
训练:Epoch[080/200] Iteration[800/800] Loss: 0.0315 Acc: 0.9999
训练:Epoch[081/200] Iteration[200/800] Loss: 0.0138 Acc: 1.0000
训练:Epoch[081/200] Iteration[400/800] Loss: 0.0132 Acc: 1.0000
训练:Epoch[081/200] Iteration[600/800] Loss: 0.0283 Acc: 0.9998
训练:Epoch[081/200] Iteration[800/800] Loss: 0.0385 Acc: 0.9997
训练:Epoch[082/200] Iteration[200/800] Loss: 0.0357 Acc: 1.0000
训练:Epoch[082/200] Iteration[400/800] Loss: 0.0368 Acc: 0.9998
训练:Epoch[082/200] Iteration[600/800] Loss: 0.0314 Acc: 0.9998
训练:Epoch[082/200] Iteration[800/800] Loss: 0.0322 Acc: 0.9998
训练:Epoch[083/200] Iteration[200/800] Loss: 0.0147 Acc: 1.0000
训练:Epoch[083/200] Iteration[400/800] Loss: 0.0321 Acc: 0.9998
训练:Epoch[083/200] Iteration[600/800] Loss: 0.0335 Acc: 0.9998
训练:Epoch[083/200] Iteration[800/800] Loss: 0.0316 Acc: 0.9998
训练:Epoch[084/200] Iteration[200/800] Loss: 0.0153 Acc: 1.0000
训练:Epoch[084/200] Iteration[400/800] Loss: 0.0210 Acc: 0.9998
训练:Epoch[084/200] Iteration[600/800] Loss: 0.0183 Acc: 0.9998
训练:Epoch[084/200] Iteration[800/800] Loss: 0.0151 Acc: 0.9998
训练:Epoch[085/200] Iteration[200/800] Loss: 0.0116 Acc: 1.0000
训练:Epoch[085/200] Iteration[400/800] Loss: 0.0114 Acc: 1.0000
训练:Epoch[085/200] Iteration[600/800] Loss: 0.0090 Acc: 1.0000
训练:Epoch[085/200] Iteration[800/800] Loss: 0.0103 Acc: 1.0000
训练:Epoch[086/200] Iteration[200/800] Loss: 0.0436 Acc: 0.9997
训练:Epoch[086/200] Iteration[400/800] Loss: 0.0248 Acc: 0.9998
训练:Epoch[086/200] Iteration[600/800] Loss: 0.0305 Acc: 0.9998
训练:Epoch[086/200] Iteration[800/800] Loss: 0.0320 Acc: 0.9998
训练:Epoch[087/200] Iteration[200/800] Loss: 0.0324 Acc: 1.0000
训练:Epoch[087/200] Iteration[400/800] Loss: 0.0206 Acc: 1.0000
训练:Epoch[087/200] Iteration[600/800] Loss: 0.0181 Acc: 1.0000
训练:Epoch[087/200] Iteration[800/800] Loss: 0.0206 Acc: 1.0000
训练:Epoch[088/200] Iteration[200/800] Loss: 0.0106 Acc: 1.0000
训练:Epoch[088/200] Iteration[400/800] Loss: 0.0171 Acc: 1.0000
训练:Epoch[088/200] Iteration[600/800] Loss: 0.0222 Acc: 1.0000
训练:Epoch[088/200] Iteration[800/800] Loss: 0.0214 Acc: 1.0000
训练:Epoch[089/200] Iteration[200/800] Loss: 0.0185 Acc: 1.0000
训练:Epoch[089/200] Iteration[400/800] Loss: 0.0135 Acc: 1.0000
训练:Epoch[089/200] Iteration[600/800] Loss: 0.0196 Acc: 0.9999
训练:Epoch[089/200] Iteration[800/800] Loss: 0.0385 Acc: 0.9998
测试:	Epoch[089/200] Iteration[200/200] Loss: 73.7336 Acc: 0.0034
训练:Epoch[090/200] Iteration[200/800] Loss: 0.0218 Acc: 1.0000
训练:Epoch[090/200] Iteration[400/800] Loss: 0.0214 Acc: 1.0000
训练:Epoch[090/200] Iteration[600/800] Loss: 0.0265 Acc: 1.0000
训练:Epoch[090/200] Iteration[800/800] Loss: 0.0282 Acc: 0.9998
训练:Epoch[091/200] Iteration[200/800] Loss: 0.0085 Acc: 1.0000
训练:Epoch[091/200] Iteration[400/800] Loss: 0.0097 Acc: 0.9998
训练:Epoch[091/200] Iteration[600/800] Loss: 0.0136 Acc: 0.9999
训练:Epoch[091/200] Iteration[800/800] Loss: 0.0143 Acc: 0.9999
训练:Epoch[092/200] Iteration[200/800] Loss: 0.0235 Acc: 1.0000
训练:Epoch[092/200] Iteration[400/800] Loss: 0.0319 Acc: 0.9998
训练:Epoch[092/200] Iteration[600/800] Loss: 0.0340 Acc: 0.9999
训练:Epoch[092/200] Iteration[800/800] Loss: 0.0299 Acc: 0.9999
训练:Epoch[093/200] Iteration[200/800] Loss: 0.0198 Acc: 0.9997
训练:Epoch[093/200] Iteration[400/800] Loss: 0.0374 Acc: 0.9997
训练:Epoch[093/200] Iteration[600/800] Loss: 0.0368 Acc: 0.9998
训练:Epoch[093/200] Iteration[800/800] Loss: 0.0343 Acc: 0.9998
训练:Epoch[094/200] Iteration[200/800] Loss: 0.0142 Acc: 1.0000
训练:Epoch[094/200] Iteration[400/800] Loss: 0.0101 Acc: 1.0000
训练:Epoch[094/200] Iteration[600/800] Loss: 0.0115 Acc: 1.0000
训练:Epoch[094/200] Iteration[800/800] Loss: 0.0150 Acc: 0.9999
训练:Epoch[095/200] Iteration[200/800] Loss: 0.0274 Acc: 1.0000
训练:Epoch[095/200] Iteration[400/800] Loss: 0.0367 Acc: 0.9998
训练:Epoch[095/200] Iteration[600/800] Loss: 0.0436 Acc: 0.9999
训练:Epoch[095/200] Iteration[800/800] Loss: 0.0426 Acc: 0.9998
训练:Epoch[096/200] Iteration[200/800] Loss: 0.0131 Acc: 1.0000
训练:Epoch[096/200] Iteration[400/800] Loss: 0.0143 Acc: 1.0000
训练:Epoch[096/200] Iteration[600/800] Loss: 0.0168 Acc: 1.0000
训练:Epoch[096/200] Iteration[800/800] Loss: 0.0158 Acc: 1.0000
训练:Epoch[097/200] Iteration[200/800] Loss: 0.0055 Acc: 1.0000
训练:Epoch[097/200] Iteration[400/800] Loss: 0.0055 Acc: 1.0000
训练:Epoch[097/200] Iteration[600/800] Loss: 0.0068 Acc: 1.0000
训练:Epoch[097/200] Iteration[800/800] Loss: 0.0097 Acc: 0.9999
训练:Epoch[098/200] Iteration[200/800] Loss: 0.0070 Acc: 1.0000
训练:Epoch[098/200] Iteration[400/800] Loss: 0.0105 Acc: 1.0000
训练:Epoch[098/200] Iteration[600/800] Loss: 0.0101 Acc: 1.0000
训练:Epoch[098/200] Iteration[800/800] Loss: 0.0105 Acc: 1.0000
训练:Epoch[099/200] Iteration[200/800] Loss: 0.0274 Acc: 1.0000
训练:Epoch[099/200] Iteration[400/800] Loss: 0.0197 Acc: 1.0000
训练:Epoch[099/200] Iteration[600/800] Loss: 0.0288 Acc: 0.9999
训练:Epoch[099/200] Iteration[800/800] Loss: 0.0308 Acc: 0.9999
测试:	Epoch[099/200] Iteration[200/200] Loss: 74.2267 Acc: 0.0037
训练:Epoch[100/200] Iteration[200/800] Loss: 0.0212 Acc: 1.0000
训练:Epoch[100/200] Iteration[400/800] Loss: 0.0213 Acc: 1.0000
训练:Epoch[100/200] Iteration[600/800] Loss: 0.0204 Acc: 1.0000
训练:Epoch[100/200] Iteration[800/800] Loss: 0.0185 Acc: 1.0000
训练:Epoch[101/200] Iteration[200/800] Loss: 0.0207 Acc: 1.0000
训练:Epoch[101/200] Iteration[400/800] Loss: 0.0167 Acc: 1.0000
训练:Epoch[101/200] Iteration[600/800] Loss: 0.0147 Acc: 1.0000
训练:Epoch[101/200] Iteration[800/800] Loss: 0.0141 Acc: 1.0000
训练:Epoch[102/200] Iteration[200/800] Loss: 0.0148 Acc: 0.9997
训练:Epoch[102/200] Iteration[400/800] Loss: 0.0126 Acc: 0.9998
训练:Epoch[102/200] Iteration[600/800] Loss: 0.0245 Acc: 0.9998
训练:Epoch[102/200] Iteration[800/800] Loss: 0.0365 Acc: 0.9998
训练:Epoch[103/200] Iteration[200/800] Loss: 0.0401 Acc: 0.9997
训练:Epoch[103/200] Iteration[400/800] Loss: 0.0374 Acc: 0.9998
训练:Epoch[103/200] Iteration[600/800] Loss: 0.0276 Acc: 0.9999
训练:Epoch[103/200] Iteration[800/800] Loss: 0.0219 Acc: 0.9999
训练:Epoch[104/200] Iteration[200/800] Loss: 0.0163 Acc: 0.9997
训练:Epoch[104/200] Iteration[400/800] Loss: 0.0162 Acc: 0.9998
训练:Epoch[104/200] Iteration[600/800] Loss: 0.0128 Acc: 0.9999
训练:Epoch[104/200] Iteration[800/800] Loss: 0.0128 Acc: 0.9998
训练:Epoch[105/200] Iteration[200/800] Loss: 0.0204 Acc: 1.0000
训练:Epoch[105/200] Iteration[400/800] Loss: 0.0149 Acc: 1.0000
训练:Epoch[105/200] Iteration[600/800] Loss: 0.0161 Acc: 1.0000
训练:Epoch[105/200] Iteration[800/800] Loss: 0.0236 Acc: 1.0000
训练:Epoch[106/200] Iteration[200/800] Loss: 0.0463 Acc: 0.9997
训练:Epoch[106/200] Iteration[400/800] Loss: 0.0291 Acc: 0.9998
训练:Epoch[106/200] Iteration[600/800] Loss: 0.0211 Acc: 0.9999
训练:Epoch[106/200] Iteration[800/800] Loss: 0.0199 Acc: 0.9999
训练:Epoch[107/200] Iteration[200/800] Loss: 0.0036 Acc: 1.0000
训练:Epoch[107/200] Iteration[400/800] Loss: 0.0171 Acc: 1.0000
训练:Epoch[107/200] Iteration[600/800] Loss: 0.0253 Acc: 0.9999
训练:Epoch[107/200] Iteration[800/800] Loss: 0.0219 Acc: 0.9999
训练:Epoch[108/200] Iteration[200/800] Loss: 0.0224 Acc: 1.0000
训练:Epoch[108/200] Iteration[400/800] Loss: 0.0134 Acc: 1.0000
训练:Epoch[108/200] Iteration[600/800] Loss: 0.0107 Acc: 1.0000
训练:Epoch[108/200] Iteration[800/800] Loss: 0.0133 Acc: 0.9999
训练:Epoch[109/200] Iteration[200/800] Loss: 0.0032 Acc: 1.0000
训练:Epoch[109/200] Iteration[400/800] Loss: 0.0065 Acc: 1.0000
训练:Epoch[109/200] Iteration[600/800] Loss: 0.0132 Acc: 0.9999
训练:Epoch[109/200] Iteration[800/800] Loss: 0.0135 Acc: 0.9999
测试:	Epoch[109/200] Iteration[200/200] Loss: 75.0695 Acc: 0.0037
训练:Epoch[110/200] Iteration[200/800] Loss: 0.0030 Acc: 1.0000
训练:Epoch[110/200] Iteration[400/800] Loss: 0.0044 Acc: 1.0000
训练:Epoch[110/200] Iteration[600/800] Loss: 0.0098 Acc: 1.0000
训练:Epoch[110/200] Iteration[800/800] Loss: 0.0199 Acc: 0.9999
训练:Epoch[111/200] Iteration[200/800] Loss: 0.0143 Acc: 1.0000
训练:Epoch[111/200] Iteration[400/800] Loss: 0.0120 Acc: 1.0000
训练:Epoch[111/200] Iteration[600/800] Loss: 0.0132 Acc: 1.0000
训练:Epoch[111/200] Iteration[800/800] Loss: 0.0175 Acc: 1.0000
训练:Epoch[112/200] Iteration[200/800] Loss: 0.0123 Acc: 1.0000
训练:Epoch[112/200] Iteration[400/800] Loss: 0.0105 Acc: 1.0000
训练:Epoch[112/200] Iteration[600/800] Loss: 0.0120 Acc: 1.0000
训练:Epoch[112/200] Iteration[800/800] Loss: 0.0154 Acc: 0.9999
训练:Epoch[113/200] Iteration[200/800] Loss: 0.0025 Acc: 1.0000
训练:Epoch[113/200] Iteration[400/800] Loss: 0.0132 Acc: 1.0000
训练:Epoch[113/200] Iteration[600/800] Loss: 0.0131 Acc: 1.0000
训练:Epoch[113/200] Iteration[800/800] Loss: 0.0130 Acc: 1.0000
训练:Epoch[114/200] Iteration[200/800] Loss: 0.0017 Acc: 1.0000
训练:Epoch[114/200] Iteration[400/800] Loss: 0.0143 Acc: 0.9998
训练:Epoch[114/200] Iteration[600/800] Loss: 0.0194 Acc: 0.9999
训练:Epoch[114/200] Iteration[800/800] Loss: 0.0176 Acc: 0.9999
训练:Epoch[115/200] Iteration[200/800] Loss: 0.0279 Acc: 0.9997
训练:Epoch[115/200] Iteration[400/800] Loss: 0.0160 Acc: 0.9998
训练:Epoch[115/200] Iteration[600/800] Loss: 0.0149 Acc: 0.9999
训练:Epoch[115/200] Iteration[800/800] Loss: 0.0133 Acc: 0.9999
训练:Epoch[116/200] Iteration[200/800] Loss: 0.0040 Acc: 1.0000
训练:Epoch[116/200] Iteration[400/800] Loss: 0.0038 Acc: 1.0000
训练:Epoch[116/200] Iteration[600/800] Loss: 0.0037 Acc: 1.0000
训练:Epoch[116/200] Iteration[800/800] Loss: 0.0036 Acc: 1.0000
训练:Epoch[117/200] Iteration[200/800] Loss: 0.0103 Acc: 1.0000
训练:Epoch[117/200] Iteration[400/800] Loss: 0.0107 Acc: 1.0000
训练:Epoch[117/200] Iteration[600/800] Loss: 0.0242 Acc: 1.0000
训练:Epoch[117/200] Iteration[800/800] Loss: 0.0256 Acc: 1.0000
训练:Epoch[118/200] Iteration[200/800] Loss: 0.0039 Acc: 1.0000
训练:Epoch[118/200] Iteration[400/800] Loss: 0.0053 Acc: 1.0000
训练:Epoch[118/200] Iteration[600/800] Loss: 0.0056 Acc: 1.0000
训练:Epoch[118/200] Iteration[800/800] Loss: 0.0064 Acc: 1.0000
训练:Epoch[119/200] Iteration[200/800] Loss: 0.0050 Acc: 1.0000
训练:Epoch[119/200] Iteration[400/800] Loss: 0.0048 Acc: 1.0000
训练:Epoch[119/200] Iteration[600/800] Loss: 0.0045 Acc: 1.0000
训练:Epoch[119/200] Iteration[800/800] Loss: 0.0055 Acc: 1.0000
测试:	Epoch[119/200] Iteration[200/200] Loss: 75.0591 Acc: 0.0034
训练:Epoch[120/200] Iteration[200/800] Loss: 0.0142 Acc: 1.0000
训练:Epoch[120/200] Iteration[400/800] Loss: 0.0303 Acc: 1.0000
训练:Epoch[120/200] Iteration[600/800] Loss: 0.0328 Acc: 1.0000
训练:Epoch[120/200] Iteration[800/800] Loss: 0.0304 Acc: 1.0000
训练:Epoch[121/200] Iteration[200/800] Loss: 0.0125 Acc: 1.0000
训练:Epoch[121/200] Iteration[400/800] Loss: 0.0087 Acc: 1.0000
训练:Epoch[121/200] Iteration[600/800] Loss: 0.0091 Acc: 1.0000
训练:Epoch[121/200] Iteration[800/800] Loss: 0.0125 Acc: 0.9999
训练:Epoch[122/200] Iteration[200/800] Loss: 0.0329 Acc: 0.9997
训练:Epoch[122/200] Iteration[400/800] Loss: 0.0326 Acc: 0.9998
训练:Epoch[122/200] Iteration[600/800] Loss: 0.0316 Acc: 0.9998
训练:Epoch[122/200] Iteration[800/800] Loss: 0.0250 Acc: 0.9998
训练:Epoch[123/200] Iteration[200/800] Loss: 0.0074 Acc: 1.0000
训练:Epoch[123/200] Iteration[400/800] Loss: 0.0175 Acc: 0.9998
训练:Epoch[123/200] Iteration[600/800] Loss: 0.0339 Acc: 0.9997
训练:Epoch[123/200] Iteration[800/800] Loss: 0.0356 Acc: 0.9998
训练:Epoch[124/200] Iteration[200/800] Loss: 0.0300 Acc: 1.0000
训练:Epoch[124/200] Iteration[400/800] Loss: 0.0258 Acc: 1.0000
训练:Epoch[124/200] Iteration[600/800] Loss: 0.0198 Acc: 1.0000
训练:Epoch[124/200] Iteration[800/800] Loss: 0.0178 Acc: 1.0000
训练:Epoch[125/200] Iteration[200/800] Loss: 0.0072 Acc: 1.0000
训练:Epoch[125/200] Iteration[400/800] Loss: 0.0196 Acc: 0.9998
训练:Epoch[125/200] Iteration[600/800] Loss: 0.0161 Acc: 0.9999
训练:Epoch[125/200] Iteration[800/800] Loss: 0.0203 Acc: 0.9998
训练:Epoch[126/200] Iteration[200/800] Loss: 0.0109 Acc: 1.0000
训练:Epoch[126/200] Iteration[400/800] Loss: 0.0140 Acc: 1.0000
训练:Epoch[126/200] Iteration[600/800] Loss: 0.0183 Acc: 0.9999
训练:Epoch[126/200] Iteration[800/800] Loss: 0.0155 Acc: 0.9999
训练:Epoch[127/200] Iteration[200/800] Loss: 0.0042 Acc: 1.0000
训练:Epoch[127/200] Iteration[400/800] Loss: 0.0030 Acc: 1.0000
训练:Epoch[127/200] Iteration[600/800] Loss: 0.0040 Acc: 1.0000
训练:Epoch[127/200] Iteration[800/800] Loss: 0.0080 Acc: 1.0000
训练:Epoch[128/200] Iteration[200/800] Loss: 0.0265 Acc: 0.9997
训练:Epoch[128/200] Iteration[400/800] Loss: 0.0189 Acc: 0.9998
训练:Epoch[128/200] Iteration[600/800] Loss: 0.0213 Acc: 0.9999
训练:Epoch[128/200] Iteration[800/800] Loss: 0.0216 Acc: 0.9998
训练:Epoch[129/200] Iteration[200/800] Loss: 0.0404 Acc: 0.9997
训练:Epoch[129/200] Iteration[400/800] Loss: 0.0473 Acc: 0.9997
训练:Epoch[129/200] Iteration[600/800] Loss: 0.0338 Acc: 0.9998
训练:Epoch[129/200] Iteration[800/800] Loss: 0.0272 Acc: 0.9998
测试:	Epoch[129/200] Iteration[200/200] Loss: 75.5677 Acc: 0.0034
训练:Epoch[130/200] Iteration[200/800] Loss: 0.0020 Acc: 1.0000
训练:Epoch[130/200] Iteration[400/800] Loss: 0.0038 Acc: 1.0000
训练:Epoch[130/200] Iteration[600/800] Loss: 0.0148 Acc: 0.9998
训练:Epoch[130/200] Iteration[800/800] Loss: 0.0288 Acc: 0.9997
训练:Epoch[131/200] Iteration[200/800] Loss: 0.0359 Acc: 1.0000
训练:Epoch[131/200] Iteration[400/800] Loss: 0.0296 Acc: 0.9998
训练:Epoch[131/200] Iteration[600/800] Loss: 0.0225 Acc: 0.9999
训练:Epoch[131/200] Iteration[800/800] Loss: 0.0201 Acc: 0.9999
训练:Epoch[132/200] Iteration[200/800] Loss: 0.0061 Acc: 1.0000
训练:Epoch[132/200] Iteration[400/800] Loss: 0.0122 Acc: 1.0000
训练:Epoch[132/200] Iteration[600/800] Loss: 0.0105 Acc: 1.0000
训练:Epoch[132/200] Iteration[800/800] Loss: 0.0089 Acc: 1.0000
训练:Epoch[133/200] Iteration[200/800] Loss: 0.0023 Acc: 1.0000
训练:Epoch[133/200] Iteration[400/800] Loss: 0.0013 Acc: 1.0000
训练:Epoch[133/200] Iteration[600/800] Loss: 0.0009 Acc: 1.0000
训练:Epoch[133/200] Iteration[800/800] Loss: 0.0012 Acc: 1.0000
训练:Epoch[134/200] Iteration[200/800] Loss: 0.0041 Acc: 1.0000
训练:Epoch[134/200] Iteration[400/800] Loss: 0.0035 Acc: 1.0000
训练:Epoch[134/200] Iteration[600/800] Loss: 0.0037 Acc: 1.0000
训练:Epoch[134/200] Iteration[800/800] Loss: 0.0138 Acc: 1.0000
训练:Epoch[135/200] Iteration[200/800] Loss: 0.0103 Acc: 1.0000
训练:Epoch[135/200] Iteration[400/800] Loss: 0.0165 Acc: 0.9998
训练:Epoch[135/200] Iteration[600/800] Loss: 0.0275 Acc: 0.9999
训练:Epoch[135/200] Iteration[800/800] Loss: 0.0252 Acc: 0.9999
训练:Epoch[136/200] Iteration[200/800] Loss: 0.0070 Acc: 1.0000
训练:Epoch[136/200] Iteration[400/800] Loss: 0.0131 Acc: 1.0000
训练:Epoch[136/200] Iteration[600/800] Loss: 0.0110 Acc: 1.0000
训练:Epoch[136/200] Iteration[800/800] Loss: 0.0119 Acc: 1.0000
训练:Epoch[137/200] Iteration[200/800] Loss: 0.0166 Acc: 1.0000
训练:Epoch[137/200] Iteration[400/800] Loss: 0.0175 Acc: 1.0000
训练:Epoch[137/200] Iteration[600/800] Loss: 0.0144 Acc: 1.0000
训练:Epoch[137/200] Iteration[800/800] Loss: 0.0120 Acc: 1.0000
训练:Epoch[138/200] Iteration[200/800] Loss: 0.0146 Acc: 1.0000
训练:Epoch[138/200] Iteration[400/800] Loss: 0.0103 Acc: 1.0000
训练:Epoch[138/200] Iteration[600/800] Loss: 0.0157 Acc: 0.9999
训练:Epoch[138/200] Iteration[800/800] Loss: 0.0195 Acc: 0.9998
训练:Epoch[139/200] Iteration[200/800] Loss: 0.0190 Acc: 1.0000
训练:Epoch[139/200] Iteration[400/800] Loss: 0.0105 Acc: 1.0000
训练:Epoch[139/200] Iteration[600/800] Loss: 0.0077 Acc: 1.0000
训练:Epoch[139/200] Iteration[800/800] Loss: 0.0095 Acc: 1.0000
测试:	Epoch[139/200] Iteration[200/200] Loss: 75.1082 Acc: 0.0037
训练:Epoch[140/200] Iteration[200/800] Loss: 0.0115 Acc: 1.0000
训练:Epoch[140/200] Iteration[400/800] Loss: 0.0155 Acc: 1.0000
训练:Epoch[140/200] Iteration[600/800] Loss: 0.0159 Acc: 1.0000
训练:Epoch[140/200] Iteration[800/800] Loss: 0.0147 Acc: 1.0000
训练:Epoch[141/200] Iteration[200/800] Loss: 0.0028 Acc: 1.0000
训练:Epoch[141/200] Iteration[400/800] Loss: 0.0074 Acc: 1.0000
训练:Epoch[141/200] Iteration[600/800] Loss: 0.0071 Acc: 1.0000
训练:Epoch[141/200] Iteration[800/800] Loss: 0.0068 Acc: 1.0000
训练:Epoch[142/200] Iteration[200/800] Loss: 0.0025 Acc: 1.0000
训练:Epoch[142/200] Iteration[400/800] Loss: 0.0239 Acc: 0.9997
训练:Epoch[142/200] Iteration[600/800] Loss: 0.0312 Acc: 0.9997
训练:Epoch[142/200] Iteration[800/800] Loss: 0.0256 Acc: 0.9998
训练:Epoch[143/200] Iteration[200/800] Loss: 0.0077 Acc: 1.0000
训练:Epoch[143/200] Iteration[400/800] Loss: 0.0053 Acc: 1.0000
训练:Epoch[143/200] Iteration[600/800] Loss: 0.0059 Acc: 1.0000
训练:Epoch[143/200] Iteration[800/800] Loss: 0.0050 Acc: 1.0000
训练:Epoch[144/200] Iteration[200/800] Loss: 0.0005 Acc: 1.0000
训练:Epoch[144/200] Iteration[400/800] Loss: 0.0007 Acc: 1.0000
训练:Epoch[144/200] Iteration[600/800] Loss: 0.0109 Acc: 1.0000
训练:Epoch[144/200] Iteration[800/800] Loss: 0.0159 Acc: 1.0000
训练:Epoch[145/200] Iteration[200/800] Loss: 0.0109 Acc: 1.0000
训练:Epoch[145/200] Iteration[400/800] Loss: 0.0073 Acc: 1.0000
训练:Epoch[145/200] Iteration[600/800] Loss: 0.0058 Acc: 1.0000
训练:Epoch[145/200] Iteration[800/800] Loss: 0.0106 Acc: 0.9999
训练:Epoch[146/200] Iteration[200/800] Loss: 0.0111 Acc: 1.0000
训练:Epoch[146/200] Iteration[400/800] Loss: 0.0062 Acc: 1.0000
训练:Epoch[146/200] Iteration[600/800] Loss: 0.0088 Acc: 1.0000
训练:Epoch[146/200] Iteration[800/800] Loss: 0.0075 Acc: 1.0000
训练:Epoch[147/200] Iteration[200/800] Loss: 0.0208 Acc: 0.9997
训练:Epoch[147/200] Iteration[400/800] Loss: 0.0288 Acc: 0.9998
训练:Epoch[147/200] Iteration[600/800] Loss: 0.0225 Acc: 0.9999
训练:Epoch[147/200] Iteration[800/800] Loss: 0.0223 Acc: 0.9998
训练:Epoch[148/200] Iteration[200/800] Loss: 0.0012 Acc: 1.0000
训练:Epoch[148/200] Iteration[400/800] Loss: 0.0144 Acc: 1.0000
训练:Epoch[148/200] Iteration[600/800] Loss: 0.0151 Acc: 1.0000
训练:Epoch[148/200] Iteration[800/800] Loss: 0.0166 Acc: 1.0000
训练:Epoch[149/200] Iteration[200/800] Loss: 0.0147 Acc: 1.0000
训练:Epoch[149/200] Iteration[400/800] Loss: 0.0117 Acc: 1.0000
训练:Epoch[149/200] Iteration[600/800] Loss: 0.0088 Acc: 1.0000
训练:Epoch[149/200] Iteration[800/800] Loss: 0.0099 Acc: 0.9999
测试:	Epoch[149/200] Iteration[200/200] Loss: 75.7124 Acc: 0.0037
训练:Epoch[150/200] Iteration[200/800] Loss: 0.0040 Acc: 1.0000
训练:Epoch[150/200] Iteration[400/800] Loss: 0.0026 Acc: 1.0000
训练:Epoch[150/200] Iteration[600/800] Loss: 0.0058 Acc: 1.0000
训练:Epoch[150/200] Iteration[800/800] Loss: 0.0050 Acc: 1.0000
训练:Epoch[151/200] Iteration[200/800] Loss: 0.0145 Acc: 1.0000
训练:Epoch[151/200] Iteration[400/800] Loss: 0.0105 Acc: 1.0000
训练:Epoch[151/200] Iteration[600/800] Loss: 0.0214 Acc: 1.0000
训练:Epoch[151/200] Iteration[800/800] Loss: 0.0205 Acc: 1.0000
训练:Epoch[152/200] Iteration[200/800] Loss: 0.0284 Acc: 0.9997
训练:Epoch[152/200] Iteration[400/800] Loss: 0.0178 Acc: 0.9998
训练:Epoch[152/200] Iteration[600/800] Loss: 0.0204 Acc: 0.9999
训练:Epoch[152/200] Iteration[800/800] Loss: 0.0178 Acc: 0.9999
训练:Epoch[153/200] Iteration[200/800] Loss: 0.0048 Acc: 1.0000
训练:Epoch[153/200] Iteration[400/800] Loss: 0.0028 Acc: 1.0000
训练:Epoch[153/200] Iteration[600/800] Loss: 0.0036 Acc: 1.0000
训练:Epoch[153/200] Iteration[800/800] Loss: 0.0082 Acc: 1.0000
训练:Epoch[154/200] Iteration[200/800] Loss: 0.0039 Acc: 1.0000
训练:Epoch[154/200] Iteration[400/800] Loss: 0.0050 Acc: 1.0000
训练:Epoch[154/200] Iteration[600/800] Loss: 0.0114 Acc: 0.9999
训练:Epoch[154/200] Iteration[800/800] Loss: 0.0110 Acc: 0.9999
训练:Epoch[155/200] Iteration[200/800] Loss: 0.0112 Acc: 1.0000
训练:Epoch[155/200] Iteration[400/800] Loss: 0.0075 Acc: 1.0000
训练:Epoch[155/200] Iteration[600/800] Loss: 0.0092 Acc: 1.0000
训练:Epoch[155/200] Iteration[800/800] Loss: 0.0091 Acc: 1.0000
训练:Epoch[156/200] Iteration[200/800] Loss: 0.0011 Acc: 1.0000
训练:Epoch[156/200] Iteration[400/800] Loss: 0.0117 Acc: 1.0000
训练:Epoch[156/200] Iteration[600/800] Loss: 0.0134 Acc: 1.0000
训练:Epoch[156/200] Iteration[800/800] Loss: 0.0106 Acc: 1.0000
训练:Epoch[157/200] Iteration[200/800] Loss: 0.0096 Acc: 1.0000
训练:Epoch[157/200] Iteration[400/800] Loss: 0.0140 Acc: 1.0000
训练:Epoch[157/200] Iteration[600/800] Loss: 0.0133 Acc: 1.0000
训练:Epoch[157/200] Iteration[800/800] Loss: 0.0128 Acc: 1.0000
训练:Epoch[158/200] Iteration[200/800] Loss: 0.0300 Acc: 0.9997
训练:Epoch[158/200] Iteration[400/800] Loss: 0.0343 Acc: 0.9997
训练:Epoch[158/200] Iteration[600/800] Loss: 0.0262 Acc: 0.9998
训练:Epoch[158/200] Iteration[800/800] Loss: 0.0294 Acc: 0.9998
训练:Epoch[159/200] Iteration[200/800] Loss: 0.0094 Acc: 1.0000
训练:Epoch[159/200] Iteration[400/800] Loss: 0.0075 Acc: 1.0000
训练:Epoch[159/200] Iteration[600/800] Loss: 0.0106 Acc: 0.9999
训练:Epoch[159/200] Iteration[800/800] Loss: 0.0084 Acc: 0.9999
测试:	Epoch[159/200] Iteration[200/200] Loss: 75.9307 Acc: 0.0034
训练:Epoch[160/200] Iteration[200/800] Loss: 0.0033 Acc: 1.0000
训练:Epoch[160/200] Iteration[400/800] Loss: 0.0063 Acc: 1.0000
训练:Epoch[160/200] Iteration[600/800] Loss: 0.0074 Acc: 1.0000
训练:Epoch[160/200] Iteration[800/800] Loss: 0.0073 Acc: 1.0000
训练:Epoch[161/200] Iteration[200/800] Loss: 0.0009 Acc: 1.0000
训练:Epoch[161/200] Iteration[400/800] Loss: 0.0027 Acc: 1.0000
训练:Epoch[161/200] Iteration[600/800] Loss: 0.0020 Acc: 1.0000
训练:Epoch[161/200] Iteration[800/800] Loss: 0.0020 Acc: 1.0000
训练:Epoch[162/200] Iteration[200/800] Loss: 0.0171 Acc: 1.0000
训练:Epoch[162/200] Iteration[400/800] Loss: 0.0243 Acc: 0.9998
训练:Epoch[162/200] Iteration[600/800] Loss: 0.0217 Acc: 0.9998
训练:Epoch[162/200] Iteration[800/800] Loss: 0.0217 Acc: 0.9998
训练:Epoch[163/200] Iteration[200/800] Loss: 0.0178 Acc: 1.0000
训练:Epoch[163/200] Iteration[400/800] Loss: 0.0112 Acc: 1.0000
训练:Epoch[163/200] Iteration[600/800] Loss: 0.0106 Acc: 1.0000
训练:Epoch[163/200] Iteration[800/800] Loss: 0.0116 Acc: 1.0000
训练:Epoch[164/200] Iteration[200/800] Loss: 0.0091 Acc: 1.0000
训练:Epoch[164/200] Iteration[400/800] Loss: 0.0094 Acc: 1.0000
训练:Epoch[164/200] Iteration[600/800] Loss: 0.0077 Acc: 1.0000
训练:Epoch[164/200] Iteration[800/800] Loss: 0.0060 Acc: 1.0000
训练:Epoch[165/200] Iteration[200/800] Loss: 0.0020 Acc: 1.0000
训练:Epoch[165/200] Iteration[400/800] Loss: 0.0013 Acc: 1.0000
训练:Epoch[165/200] Iteration[600/800] Loss: 0.0071 Acc: 1.0000
训练:Epoch[165/200] Iteration[800/800] Loss: 0.0066 Acc: 1.0000
训练:Epoch[166/200] Iteration[200/800] Loss: 0.0019 Acc: 1.0000
训练:Epoch[166/200] Iteration[400/800] Loss: 0.0078 Acc: 1.0000
训练:Epoch[166/200] Iteration[600/800] Loss: 0.0087 Acc: 1.0000
训练:Epoch[166/200] Iteration[800/800] Loss: 0.0075 Acc: 1.0000
训练:Epoch[167/200] Iteration[200/800] Loss: 0.0039 Acc: 1.0000
训练:Epoch[167/200] Iteration[400/800] Loss: 0.0035 Acc: 1.0000
训练:Epoch[167/200] Iteration[600/800] Loss: 0.0040 Acc: 1.0000
训练:Epoch[167/200] Iteration[800/800] Loss: 0.0054 Acc: 1.0000
训练:Epoch[168/200] Iteration[200/800] Loss: 0.0176 Acc: 1.0000
训练:Epoch[168/200] Iteration[400/800] Loss: 0.0135 Acc: 1.0000
训练:Epoch[168/200] Iteration[600/800] Loss: 0.0156 Acc: 1.0000
训练:Epoch[168/200] Iteration[800/800] Loss: 0.0151 Acc: 0.9999
训练:Epoch[169/200] Iteration[200/800] Loss: 0.0036 Acc: 1.0000
训练:Epoch[169/200] Iteration[400/800] Loss: 0.0127 Acc: 0.9998
训练:Epoch[169/200] Iteration[600/800] Loss: 0.0108 Acc: 0.9999
训练:Epoch[169/200] Iteration[800/800] Loss: 0.0099 Acc: 0.9999
测试:	Epoch[169/200] Iteration[200/200] Loss: 75.6970 Acc: 0.0037
训练:Epoch[170/200] Iteration[200/800] Loss: 0.0125 Acc: 1.0000
训练:Epoch[170/200] Iteration[400/800] Loss: 0.0075 Acc: 1.0000
训练:Epoch[170/200] Iteration[600/800] Loss: 0.0066 Acc: 1.0000
训练:Epoch[170/200] Iteration[800/800] Loss: 0.0061 Acc: 1.0000
训练:Epoch[171/200] Iteration[200/800] Loss: 0.0061 Acc: 1.0000
训练:Epoch[171/200] Iteration[400/800] Loss: 0.0063 Acc: 1.0000
训练:Epoch[171/200] Iteration[600/800] Loss: 0.0171 Acc: 0.9997
训练:Epoch[171/200] Iteration[800/800] Loss: 0.0179 Acc: 0.9998
训练:Epoch[172/200] Iteration[200/800] Loss: 0.0194 Acc: 0.9997
训练:Epoch[172/200] Iteration[400/800] Loss: 0.0129 Acc: 0.9998
训练:Epoch[172/200] Iteration[600/800] Loss: 0.0165 Acc: 0.9998
训练:Epoch[172/200] Iteration[800/800] Loss: 0.0173 Acc: 0.9998
训练:Epoch[173/200] Iteration[200/800] Loss: 0.0014 Acc: 1.0000
训练:Epoch[173/200] Iteration[400/800] Loss: 0.0018 Acc: 1.0000
训练:Epoch[173/200] Iteration[600/800] Loss: 0.0017 Acc: 1.0000
训练:Epoch[173/200] Iteration[800/800] Loss: 0.0014 Acc: 1.0000
训练:Epoch[174/200] Iteration[200/800] Loss: 0.0018 Acc: 1.0000
训练:Epoch[174/200] Iteration[400/800] Loss: 0.0027 Acc: 1.0000
训练:Epoch[174/200] Iteration[600/800] Loss: 0.0054 Acc: 1.0000
训练:Epoch[174/200] Iteration[800/800] Loss: 0.0107 Acc: 1.0000
训练:Epoch[175/200] Iteration[200/800] Loss: 0.0052 Acc: 1.0000
训练:Epoch[175/200] Iteration[400/800] Loss: 0.0056 Acc: 1.0000
训练:Epoch[175/200] Iteration[600/800] Loss: 0.0048 Acc: 1.0000
训练:Epoch[175/200] Iteration[800/800] Loss: 0.0108 Acc: 1.0000
训练:Epoch[176/200] Iteration[200/800] Loss: 0.0065 Acc: 1.0000
训练:Epoch[176/200] Iteration[400/800] Loss: 0.0070 Acc: 1.0000
训练:Epoch[176/200] Iteration[600/800] Loss: 0.0077 Acc: 1.0000
训练:Epoch[176/200] Iteration[800/800] Loss: 0.0062 Acc: 1.0000
训练:Epoch[177/200] Iteration[200/800] Loss: 0.0008 Acc: 1.0000
训练:Epoch[177/200] Iteration[400/800] Loss: 0.0025 Acc: 1.0000
训练:Epoch[177/200] Iteration[600/800] Loss: 0.0079 Acc: 0.9999
训练:Epoch[177/200] Iteration[800/800] Loss: 0.0128 Acc: 0.9999
训练:Epoch[178/200] Iteration[200/800] Loss: 0.0151 Acc: 1.0000
训练:Epoch[178/200] Iteration[400/800] Loss: 0.0185 Acc: 1.0000
训练:Epoch[178/200] Iteration[600/800] Loss: 0.0166 Acc: 0.9999
训练:Epoch[178/200] Iteration[800/800] Loss: 0.0129 Acc: 0.9999
训练:Epoch[179/200] Iteration[200/800] Loss: 0.0004 Acc: 1.0000
训练:Epoch[179/200] Iteration[400/800] Loss: 0.0056 Acc: 1.0000
训练:Epoch[179/200] Iteration[600/800] Loss: 0.0087 Acc: 1.0000
训练:Epoch[179/200] Iteration[800/800] Loss: 0.0131 Acc: 0.9998
测试:	Epoch[179/200] Iteration[200/200] Loss: 75.4841 Acc: 0.0034
训练:Epoch[180/200] Iteration[200/800] Loss: 0.0252 Acc: 1.0000
训练:Epoch[180/200] Iteration[400/800] Loss: 0.0211 Acc: 1.0000
训练:Epoch[180/200] Iteration[600/800] Loss: 0.0183 Acc: 1.0000
训练:Epoch[180/200] Iteration[800/800] Loss: 0.0143 Acc: 1.0000
训练:Epoch[181/200] Iteration[200/800] Loss: 0.0054 Acc: 1.0000
训练:Epoch[181/200] Iteration[400/800] Loss: 0.0033 Acc: 1.0000
训练:Epoch[181/200] Iteration[600/800] Loss: 0.0025 Acc: 1.0000
训练:Epoch[181/200] Iteration[800/800] Loss: 0.0022 Acc: 1.0000
训练:Epoch[182/200] Iteration[200/800] Loss: 0.0100 Acc: 0.9997
训练:Epoch[182/200] Iteration[400/800] Loss: 0.0065 Acc: 0.9998
训练:Epoch[182/200] Iteration[600/800] Loss: 0.0063 Acc: 0.9999
训练:Epoch[182/200] Iteration[800/800] Loss: 0.0062 Acc: 0.9999
训练:Epoch[183/200] Iteration[200/800] Loss: 0.0005 Acc: 1.0000
训练:Epoch[183/200] Iteration[400/800] Loss: 0.0006 Acc: 1.0000
训练:Epoch[183/200] Iteration[600/800] Loss: 0.0010 Acc: 1.0000
训练:Epoch[183/200] Iteration[800/800] Loss: 0.0028 Acc: 1.0000
训练:Epoch[184/200] Iteration[200/800] Loss: 0.0082 Acc: 1.0000
训练:Epoch[184/200] Iteration[400/800] Loss: 0.0237 Acc: 0.9998
训练:Epoch[184/200] Iteration[600/800] Loss: 0.0222 Acc: 0.9999
训练:Epoch[184/200] Iteration[800/800] Loss: 0.0224 Acc: 0.9998
训练:Epoch[185/200] Iteration[200/800] Loss: 0.0097 Acc: 1.0000
训练:Epoch[185/200] Iteration[400/800] Loss: 0.0140 Acc: 1.0000
训练:Epoch[185/200] Iteration[600/800] Loss: 0.0125 Acc: 1.0000
训练:Epoch[185/200] Iteration[800/800] Loss: 0.0159 Acc: 1.0000
训练:Epoch[186/200] Iteration[200/800] Loss: 0.0099 Acc: 1.0000
训练:Epoch[186/200] Iteration[400/800] Loss: 0.0069 Acc: 1.0000
训练:Epoch[186/200] Iteration[600/800] Loss: 0.0066 Acc: 1.0000
训练:Epoch[186/200] Iteration[800/800] Loss: 0.0065 Acc: 1.0000
训练:Epoch[187/200] Iteration[200/800] Loss: 0.0157 Acc: 1.0000
训练:Epoch[187/200] Iteration[400/800] Loss: 0.0103 Acc: 1.0000
训练:Epoch[187/200] Iteration[600/800] Loss: 0.0097 Acc: 1.0000
训练:Epoch[187/200] Iteration[800/800] Loss: 0.0087 Acc: 1.0000
训练:Epoch[188/200] Iteration[200/800] Loss: 0.0133 Acc: 1.0000
训练:Epoch[188/200] Iteration[400/800] Loss: 0.0103 Acc: 1.0000
训练:Epoch[188/200] Iteration[600/800] Loss: 0.0094 Acc: 1.0000
训练:Epoch[188/200] Iteration[800/800] Loss: 0.0104 Acc: 1.0000
训练:Epoch[189/200] Iteration[200/800] Loss: 0.0042 Acc: 1.0000
训练:Epoch[189/200] Iteration[400/800] Loss: 0.0039 Acc: 1.0000
训练:Epoch[189/200] Iteration[600/800] Loss: 0.0050 Acc: 1.0000
训练:Epoch[189/200] Iteration[800/800] Loss: 0.0096 Acc: 0.9999
测试:	Epoch[189/200] Iteration[200/200] Loss: 75.7902 Acc: 0.0034
训练:Epoch[190/200] Iteration[200/800] Loss: 0.0146 Acc: 0.9997
训练:Epoch[190/200] Iteration[400/800] Loss: 0.0121 Acc: 0.9998
训练:Epoch[190/200] Iteration[600/800] Loss: 0.0101 Acc: 0.9999
训练:Epoch[190/200] Iteration[800/800] Loss: 0.0132 Acc: 0.9999
训练:Epoch[191/200] Iteration[200/800] Loss: 0.0166 Acc: 0.9997
训练:Epoch[191/200] Iteration[400/800] Loss: 0.0131 Acc: 0.9998
训练:Epoch[191/200] Iteration[600/800] Loss: 0.0096 Acc: 0.9999
训练:Epoch[191/200] Iteration[800/800] Loss: 0.0105 Acc: 0.9999
训练:Epoch[192/200] Iteration[200/800] Loss: 0.0008 Acc: 1.0000
训练:Epoch[192/200] Iteration[400/800] Loss: 0.0160 Acc: 0.9998
训练:Epoch[192/200] Iteration[600/800] Loss: 0.0180 Acc: 0.9998
训练:Epoch[192/200] Iteration[800/800] Loss: 0.0166 Acc: 0.9998
训练:Epoch[193/200] Iteration[200/800] Loss: 0.0053 Acc: 1.0000
训练:Epoch[193/200] Iteration[400/800] Loss: 0.0105 Acc: 1.0000
训练:Epoch[193/200] Iteration[600/800] Loss: 0.0087 Acc: 1.0000
训练:Epoch[193/200] Iteration[800/800] Loss: 0.0105 Acc: 1.0000
训练:Epoch[194/200] Iteration[200/800] Loss: 0.0006 Acc: 1.0000
训练:Epoch[194/200] Iteration[400/800] Loss: 0.0015 Acc: 1.0000
训练:Epoch[194/200] Iteration[600/800] Loss: 0.0058 Acc: 1.0000
训练:Epoch[194/200] Iteration[800/800] Loss: 0.0107 Acc: 0.9999
训练:Epoch[195/200] Iteration[200/800] Loss: 0.0080 Acc: 1.0000
训练:Epoch[195/200] Iteration[400/800] Loss: 0.0103 Acc: 1.0000
训练:Epoch[195/200] Iteration[600/800] Loss: 0.0139 Acc: 0.9999
训练:Epoch[195/200] Iteration[800/800] Loss: 0.0109 Acc: 0.9999
训练:Epoch[196/200] Iteration[200/800] Loss: 0.0091 Acc: 1.0000
训练:Epoch[196/200] Iteration[400/800] Loss: 0.0061 Acc: 1.0000
训练:Epoch[196/200] Iteration[600/800] Loss: 0.0054 Acc: 1.0000
训练:Epoch[196/200] Iteration[800/800] Loss: 0.0070 Acc: 1.0000
训练:Epoch[197/200] Iteration[200/800] Loss: 0.0117 Acc: 1.0000
训练:Epoch[197/200] Iteration[400/800] Loss: 0.0159 Acc: 1.0000
训练:Epoch[197/200] Iteration[600/800] Loss: 0.0122 Acc: 1.0000
训练:Epoch[197/200] Iteration[800/800] Loss: 0.0105 Acc: 1.0000
训练:Epoch[198/200] Iteration[200/800] Loss: 0.0116 Acc: 0.9997
训练:Epoch[198/200] Iteration[400/800] Loss: 0.0088 Acc: 0.9998
训练:Epoch[198/200] Iteration[600/800] Loss: 0.0065 Acc: 0.9999
训练:Epoch[198/200] Iteration[800/800] Loss: 0.0084 Acc: 0.9999
训练:Epoch[199/200] Iteration[200/800] Loss: 0.0253 Acc: 0.9997
训练:Epoch[199/200] Iteration[400/800] Loss: 0.0252 Acc: 0.9995
训练:Epoch[199/200] Iteration[600/800] Loss: 0.0234 Acc: 0.9997
训练:Epoch[199/200] Iteration[800/800] Loss: 0.0179 Acc: 0.9998
测试:	Epoch[199/200] Iteration[200/200] Loss: 75.8464 Acc: 0.0034
