训练:Epoch[000/200] Iteration[200/800] Loss: 30.6006 Acc: 0.5681
训练:Epoch[000/200] Iteration[400/800] Loss: 28.6951 Acc: 0.6734
训练:Epoch[000/200] Iteration[600/800] Loss: 26.4062 Acc: 0.7262
训练:Epoch[000/200] Iteration[800/800] Loss: 22.9348 Acc: 0.7443
训练:Epoch[001/200] Iteration[200/800] Loss: 4.7514 Acc: 0.8572
训练:Epoch[001/200] Iteration[400/800] Loss: 3.4966 Acc: 0.8722
训练:Epoch[001/200] Iteration[600/800] Loss: 2.7881 Acc: 0.8862
训练:Epoch[001/200] Iteration[800/800] Loss: 2.3033 Acc: 0.8997
训练:Epoch[002/200] Iteration[200/800] Loss: 0.5231 Acc: 0.9531
训练:Epoch[002/200] Iteration[400/800] Loss: 0.4784 Acc: 0.9506
训练:Epoch[002/200] Iteration[600/800] Loss: 0.4625 Acc: 0.9509
训练:Epoch[002/200] Iteration[800/800] Loss: 0.4375 Acc: 0.9525
训练:Epoch[003/200] Iteration[200/800] Loss: 0.2905 Acc: 0.9628
训练:Epoch[003/200] Iteration[400/800] Loss: 0.2935 Acc: 0.9613
训练:Epoch[003/200] Iteration[600/800] Loss: 0.3411 Acc: 0.9569
训练:Epoch[003/200] Iteration[800/800] Loss: 0.3549 Acc: 0.9549
训练:Epoch[004/200] Iteration[200/800] Loss: 0.2776 Acc: 0.9672
训练:Epoch[004/200] Iteration[400/800] Loss: 0.2221 Acc: 0.9675
训练:Epoch[004/200] Iteration[600/800] Loss: 0.2351 Acc: 0.9663
训练:Epoch[004/200] Iteration[800/800] Loss: 0.2510 Acc: 0.9655
训练:Epoch[005/200] Iteration[200/800] Loss: 0.1667 Acc: 0.9691
训练:Epoch[005/200] Iteration[400/800] Loss: 0.1891 Acc: 0.9680
训练:Epoch[005/200] Iteration[600/800] Loss: 0.2155 Acc: 0.9688
训练:Epoch[005/200] Iteration[800/800] Loss: 0.2186 Acc: 0.9701
训练:Epoch[006/200] Iteration[200/800] Loss: 0.2988 Acc: 0.9572
训练:Epoch[006/200] Iteration[400/800] Loss: 0.2212 Acc: 0.9677
训练:Epoch[006/200] Iteration[600/800] Loss: 0.2281 Acc: 0.9689
训练:Epoch[006/200] Iteration[800/800] Loss: 0.2362 Acc: 0.9702
训练:Epoch[007/200] Iteration[200/800] Loss: 0.1253 Acc: 0.9834
训练:Epoch[007/200] Iteration[400/800] Loss: 0.1762 Acc: 0.9775
训练:Epoch[007/200] Iteration[600/800] Loss: 0.1506 Acc: 0.9789
训练:Epoch[007/200] Iteration[800/800] Loss: 0.1835 Acc: 0.9768
训练:Epoch[008/200] Iteration[200/800] Loss: 0.2433 Acc: 0.9688
训练:Epoch[008/200] Iteration[400/800] Loss: 0.2062 Acc: 0.9714
训练:Epoch[008/200] Iteration[600/800] Loss: 0.1921 Acc: 0.9728
训练:Epoch[008/200] Iteration[800/800] Loss: 0.1674 Acc: 0.9762
训练:Epoch[009/200] Iteration[200/800] Loss: 0.0647 Acc: 0.9878
训练:Epoch[009/200] Iteration[400/800] Loss: 0.1083 Acc: 0.9844
训练:Epoch[009/200] Iteration[600/800] Loss: 0.1204 Acc: 0.9834
训练:Epoch[009/200] Iteration[800/800] Loss: 0.1333 Acc: 0.9819
测试:	Epoch[009/200] Iteration[200/200] Loss: 72.9870 Acc: 0.9613
训练:Epoch[010/200] Iteration[200/800] Loss: 0.1584 Acc: 0.9778
训练:Epoch[010/200] Iteration[400/800] Loss: 0.1890 Acc: 0.9762
训练:Epoch[010/200] Iteration[600/800] Loss: 0.1833 Acc: 0.9753
训练:Epoch[010/200] Iteration[800/800] Loss: 0.1775 Acc: 0.9773
训练:Epoch[011/200] Iteration[200/800] Loss: 0.1218 Acc: 0.9797
训练:Epoch[011/200] Iteration[400/800] Loss: 0.0910 Acc: 0.9820
训练:Epoch[011/200] Iteration[600/800] Loss: 0.0803 Acc: 0.9833
训练:Epoch[011/200] Iteration[800/800] Loss: 0.0865 Acc: 0.9835
训练:Epoch[012/200] Iteration[200/800] Loss: 0.0814 Acc: 0.9853
训练:Epoch[012/200] Iteration[400/800] Loss: 0.0994 Acc: 0.9841
训练:Epoch[012/200] Iteration[600/800] Loss: 0.1019 Acc: 0.9845
训练:Epoch[012/200] Iteration[800/800] Loss: 0.1072 Acc: 0.9845
训练:Epoch[013/200] Iteration[200/800] Loss: 0.0873 Acc: 0.9850
训练:Epoch[013/200] Iteration[400/800] Loss: 0.1368 Acc: 0.9808
训练:Epoch[013/200] Iteration[600/800] Loss: 0.1286 Acc: 0.9808
训练:Epoch[013/200] Iteration[800/800] Loss: 0.1081 Acc: 0.9834
训练:Epoch[014/200] Iteration[200/800] Loss: 0.0912 Acc: 0.9866
训练:Epoch[014/200] Iteration[400/800] Loss: 0.0773 Acc: 0.9878
训练:Epoch[014/200] Iteration[600/800] Loss: 0.0707 Acc: 0.9894
训练:Epoch[014/200] Iteration[800/800] Loss: 0.0757 Acc: 0.9891
训练:Epoch[015/200] Iteration[200/800] Loss: 0.2022 Acc: 0.9756
训练:Epoch[015/200] Iteration[400/800] Loss: 0.1574 Acc: 0.9792
训练:Epoch[015/200] Iteration[600/800] Loss: 0.1303 Acc: 0.9822
训练:Epoch[015/200] Iteration[800/800] Loss: 0.1325 Acc: 0.9821
训练:Epoch[016/200] Iteration[200/800] Loss: 0.0900 Acc: 0.9878
训练:Epoch[016/200] Iteration[400/800] Loss: 0.0840 Acc: 0.9872
训练:Epoch[016/200] Iteration[600/800] Loss: 0.0776 Acc: 0.9891
训练:Epoch[016/200] Iteration[800/800] Loss: 0.0665 Acc: 0.9888
训练:Epoch[017/200] Iteration[200/800] Loss: 0.0153 Acc: 0.9944
训练:Epoch[017/200] Iteration[400/800] Loss: 0.0308 Acc: 0.9927
训练:Epoch[017/200] Iteration[600/800] Loss: 0.0469 Acc: 0.9906
训练:Epoch[017/200] Iteration[800/800] Loss: 0.0645 Acc: 0.9891
训练:Epoch[018/200] Iteration[200/800] Loss: 0.1036 Acc: 0.9891
训练:Epoch[018/200] Iteration[400/800] Loss: 0.0960 Acc: 0.9881
训练:Epoch[018/200] Iteration[600/800] Loss: 0.1043 Acc: 0.9871
训练:Epoch[018/200] Iteration[800/800] Loss: 0.0976 Acc: 0.9868
训练:Epoch[019/200] Iteration[200/800] Loss: 0.0496 Acc: 0.9906
训练:Epoch[019/200] Iteration[400/800] Loss: 0.0763 Acc: 0.9883
训练:Epoch[019/200] Iteration[600/800] Loss: 0.0617 Acc: 0.9896
训练:Epoch[019/200] Iteration[800/800] Loss: 0.0564 Acc: 0.9903
测试:	Epoch[019/200] Iteration[200/200] Loss: 74.4454 Acc: 0.9825
训练:Epoch[020/200] Iteration[200/800] Loss: 0.0859 Acc: 0.9891
训练:Epoch[020/200] Iteration[400/800] Loss: 0.1115 Acc: 0.9869
训练:Epoch[020/200] Iteration[600/800] Loss: 0.0965 Acc: 0.9872
训练:Epoch[020/200] Iteration[800/800] Loss: 0.0897 Acc: 0.9882
训练:Epoch[021/200] Iteration[200/800] Loss: 0.0174 Acc: 0.9931
训练:Epoch[021/200] Iteration[400/800] Loss: 0.0359 Acc: 0.9911
训练:Epoch[021/200] Iteration[600/800] Loss: 0.0627 Acc: 0.9896
训练:Epoch[021/200] Iteration[800/800] Loss: 0.0619 Acc: 0.9898
训练:Epoch[022/200] Iteration[200/800] Loss: 0.0393 Acc: 0.9925
训练:Epoch[022/200] Iteration[400/800] Loss: 0.0660 Acc: 0.9905
训练:Epoch[022/200] Iteration[600/800] Loss: 0.0701 Acc: 0.9896
训练:Epoch[022/200] Iteration[800/800] Loss: 0.0658 Acc: 0.9891
训练:Epoch[023/200] Iteration[200/800] Loss: 0.0796 Acc: 0.9891
训练:Epoch[023/200] Iteration[400/800] Loss: 0.0747 Acc: 0.9883
训练:Epoch[023/200] Iteration[600/800] Loss: 0.0606 Acc: 0.9895
训练:Epoch[023/200] Iteration[800/800] Loss: 0.0655 Acc: 0.9895
训练:Epoch[024/200] Iteration[200/800] Loss: 0.0344 Acc: 0.9934
训练:Epoch[024/200] Iteration[400/800] Loss: 0.0301 Acc: 0.9942
训练:Epoch[024/200] Iteration[600/800] Loss: 0.0264 Acc: 0.9947
训练:Epoch[024/200] Iteration[800/800] Loss: 0.0317 Acc: 0.9947
训练:Epoch[025/200] Iteration[200/800] Loss: 0.0406 Acc: 0.9919
训练:Epoch[025/200] Iteration[400/800] Loss: 0.0380 Acc: 0.9936
训练:Epoch[025/200] Iteration[600/800] Loss: 0.0468 Acc: 0.9930
训练:Epoch[025/200] Iteration[800/800] Loss: 0.0517 Acc: 0.9922
训练:Epoch[026/200] Iteration[200/800] Loss: 0.0680 Acc: 0.9909
训练:Epoch[026/200] Iteration[400/800] Loss: 0.0531 Acc: 0.9912
训练:Epoch[026/200] Iteration[600/800] Loss: 0.0421 Acc: 0.9921
训练:Epoch[026/200] Iteration[800/800] Loss: 0.0351 Acc: 0.9935
训练:Epoch[027/200] Iteration[200/800] Loss: 0.0221 Acc: 0.9947
训练:Epoch[027/200] Iteration[400/800] Loss: 0.0345 Acc: 0.9942
训练:Epoch[027/200] Iteration[600/800] Loss: 0.0495 Acc: 0.9922
训练:Epoch[027/200] Iteration[800/800] Loss: 0.0455 Acc: 0.9926
训练:Epoch[028/200] Iteration[200/800] Loss: 0.0680 Acc: 0.9928
训练:Epoch[028/200] Iteration[400/800] Loss: 0.0868 Acc: 0.9894
训练:Epoch[028/200] Iteration[600/800] Loss: 0.0895 Acc: 0.9879
训练:Epoch[028/200] Iteration[800/800] Loss: 0.0834 Acc: 0.9882
训练:Epoch[029/200] Iteration[200/800] Loss: 0.0177 Acc: 0.9931
训练:Epoch[029/200] Iteration[400/800] Loss: 0.0183 Acc: 0.9941
训练:Epoch[029/200] Iteration[600/800] Loss: 0.0205 Acc: 0.9939
训练:Epoch[029/200] Iteration[800/800] Loss: 0.0311 Acc: 0.9935
测试:	Epoch[029/200] Iteration[200/200] Loss: 73.4203 Acc: 0.9681
训练:Epoch[030/200] Iteration[200/800] Loss: 0.0469 Acc: 0.9900
训练:Epoch[030/200] Iteration[400/800] Loss: 0.0660 Acc: 0.9902
训练:Epoch[030/200] Iteration[600/800] Loss: 0.0666 Acc: 0.9905
训练:Epoch[030/200] Iteration[800/800] Loss: 0.0682 Acc: 0.9904
训练:Epoch[031/200] Iteration[200/800] Loss: 0.0213 Acc: 0.9931
训练:Epoch[031/200] Iteration[400/800] Loss: 0.0265 Acc: 0.9936
训练:Epoch[031/200] Iteration[600/800] Loss: 0.0302 Acc: 0.9932
训练:Epoch[031/200] Iteration[800/800] Loss: 0.0272 Acc: 0.9938
训练:Epoch[032/200] Iteration[200/800] Loss: 0.0139 Acc: 0.9956
训练:Epoch[032/200] Iteration[400/800] Loss: 0.0140 Acc: 0.9953
训练:Epoch[032/200] Iteration[600/800] Loss: 0.0167 Acc: 0.9952
训练:Epoch[032/200] Iteration[800/800] Loss: 0.0192 Acc: 0.9947
训练:Epoch[033/200] Iteration[200/800] Loss: 0.0627 Acc: 0.9894
训练:Epoch[033/200] Iteration[400/800] Loss: 0.0390 Acc: 0.9911
训练:Epoch[033/200] Iteration[600/800] Loss: 0.0313 Acc: 0.9928
训练:Epoch[033/200] Iteration[800/800] Loss: 0.0319 Acc: 0.9928
训练:Epoch[034/200] Iteration[200/800] Loss: 0.0762 Acc: 0.9903
训练:Epoch[034/200] Iteration[400/800] Loss: 0.0697 Acc: 0.9895
训练:Epoch[034/200] Iteration[600/800] Loss: 0.0574 Acc: 0.9907
训练:Epoch[034/200] Iteration[800/800] Loss: 0.0701 Acc: 0.9899
训练:Epoch[035/200] Iteration[200/800] Loss: 0.0374 Acc: 0.9906
训练:Epoch[035/200] Iteration[400/800] Loss: 0.0278 Acc: 0.9930
训练:Epoch[035/200] Iteration[600/800] Loss: 0.0253 Acc: 0.9934
训练:Epoch[035/200] Iteration[800/800] Loss: 0.0421 Acc: 0.9922
训练:Epoch[036/200] Iteration[200/800] Loss: 0.0298 Acc: 0.9919
训练:Epoch[036/200] Iteration[400/800] Loss: 0.0387 Acc: 0.9909
训练:Epoch[036/200] Iteration[600/800] Loss: 0.0352 Acc: 0.9925
训练:Epoch[036/200] Iteration[800/800] Loss: 0.0312 Acc: 0.9934
训练:Epoch[037/200] Iteration[200/800] Loss: 0.0145 Acc: 0.9947
训练:Epoch[037/200] Iteration[400/800] Loss: 0.0187 Acc: 0.9953
训练:Epoch[037/200] Iteration[600/800] Loss: 0.0192 Acc: 0.9945
训练:Epoch[037/200] Iteration[800/800] Loss: 0.0172 Acc: 0.9943
训练:Epoch[038/200] Iteration[200/800] Loss: 0.0144 Acc: 0.9978
训练:Epoch[038/200] Iteration[400/800] Loss: 0.0348 Acc: 0.9952
训练:Epoch[038/200] Iteration[600/800] Loss: 0.0339 Acc: 0.9954
训练:Epoch[038/200] Iteration[800/800] Loss: 0.0564 Acc: 0.9929
训练:Epoch[039/200] Iteration[200/800] Loss: 0.0739 Acc: 0.9931
训练:Epoch[039/200] Iteration[400/800] Loss: 0.0537 Acc: 0.9931
训练:Epoch[039/200] Iteration[600/800] Loss: 0.0494 Acc: 0.9939
训练:Epoch[039/200] Iteration[800/800] Loss: 0.0433 Acc: 0.9940
测试:	Epoch[039/200] Iteration[200/200] Loss: 75.2203 Acc: 0.9759
训练:Epoch[040/200] Iteration[200/800] Loss: 0.0098 Acc: 0.9978
训练:Epoch[040/200] Iteration[400/800] Loss: 0.0107 Acc: 0.9978
训练:Epoch[040/200] Iteration[600/800] Loss: 0.0264 Acc: 0.9962
训练:Epoch[040/200] Iteration[800/800] Loss: 0.0251 Acc: 0.9962
训练:Epoch[041/200] Iteration[200/800] Loss: 0.0170 Acc: 0.9950
训练:Epoch[041/200] Iteration[400/800] Loss: 0.0174 Acc: 0.9961
训练:Epoch[041/200] Iteration[600/800] Loss: 0.0285 Acc: 0.9949
训练:Epoch[041/200] Iteration[800/800] Loss: 0.0284 Acc: 0.9949
训练:Epoch[042/200] Iteration[200/800] Loss: 0.0400 Acc: 0.9894
训练:Epoch[042/200] Iteration[400/800] Loss: 0.0334 Acc: 0.9911
训练:Epoch[042/200] Iteration[600/800] Loss: 0.0241 Acc: 0.9930
训练:Epoch[042/200] Iteration[800/800] Loss: 0.0217 Acc: 0.9939
训练:Epoch[043/200] Iteration[200/800] Loss: 0.0544 Acc: 0.9928
训练:Epoch[043/200] Iteration[400/800] Loss: 0.0438 Acc: 0.9933
训练:Epoch[043/200] Iteration[600/800] Loss: 0.0399 Acc: 0.9932
训练:Epoch[043/200] Iteration[800/800] Loss: 0.0350 Acc: 0.9938
训练:Epoch[044/200] Iteration[200/800] Loss: 0.0357 Acc: 0.9912
训练:Epoch[044/200] Iteration[400/800] Loss: 0.0353 Acc: 0.9916
训练:Epoch[044/200] Iteration[600/800] Loss: 0.0320 Acc: 0.9917
训练:Epoch[044/200] Iteration[800/800] Loss: 0.0260 Acc: 0.9927
训练:Epoch[045/200] Iteration[200/800] Loss: 0.0147 Acc: 0.9959
训练:Epoch[045/200] Iteration[400/800] Loss: 0.0382 Acc: 0.9944
训练:Epoch[045/200] Iteration[600/800] Loss: 0.0320 Acc: 0.9946
训练:Epoch[045/200] Iteration[800/800] Loss: 0.0294 Acc: 0.9940
训练:Epoch[046/200] Iteration[200/800] Loss: 0.0474 Acc: 0.9900
训练:Epoch[046/200] Iteration[400/800] Loss: 0.0301 Acc: 0.9916
训练:Epoch[046/200] Iteration[600/800] Loss: 0.0271 Acc: 0.9931
训练:Epoch[046/200] Iteration[800/800] Loss: 0.0249 Acc: 0.9940
训练:Epoch[047/200] Iteration[200/800] Loss: 0.0277 Acc: 0.9944
训练:Epoch[047/200] Iteration[400/800] Loss: 0.0171 Acc: 0.9962
训练:Epoch[047/200] Iteration[600/800] Loss: 0.0134 Acc: 0.9966
训练:Epoch[047/200] Iteration[800/800] Loss: 0.0156 Acc: 0.9961
训练:Epoch[048/200] Iteration[200/800] Loss: 0.0073 Acc: 0.9953
训练:Epoch[048/200] Iteration[400/800] Loss: 0.0132 Acc: 0.9952
训练:Epoch[048/200] Iteration[600/800] Loss: 0.0123 Acc: 0.9949
训练:Epoch[048/200] Iteration[800/800] Loss: 0.0158 Acc: 0.9949
训练:Epoch[049/200] Iteration[200/800] Loss: 0.0517 Acc: 0.9938
训练:Epoch[049/200] Iteration[400/800] Loss: 0.0301 Acc: 0.9947
训练:Epoch[049/200] Iteration[600/800] Loss: 0.0301 Acc: 0.9944
训练:Epoch[049/200] Iteration[800/800] Loss: 0.0509 Acc: 0.9929
测试:	Epoch[049/200] Iteration[200/200] Loss: 74.6634 Acc: 0.9747
训练:Epoch[050/200] Iteration[200/800] Loss: 0.0150 Acc: 0.9925
训练:Epoch[050/200] Iteration[400/800] Loss: 0.0228 Acc: 0.9931
训练:Epoch[050/200] Iteration[600/800] Loss: 0.0265 Acc: 0.9938
训练:Epoch[050/200] Iteration[800/800] Loss: 0.0229 Acc: 0.9941
训练:Epoch[051/200] Iteration[200/800] Loss: 0.0210 Acc: 0.9916
训练:Epoch[051/200] Iteration[400/800] Loss: 0.0204 Acc: 0.9931
训练:Epoch[051/200] Iteration[600/800] Loss: 0.0151 Acc: 0.9945
训练:Epoch[051/200] Iteration[800/800] Loss: 0.0185 Acc: 0.9950
训练:Epoch[052/200] Iteration[200/800] Loss: 0.0352 Acc: 0.9944
训练:Epoch[052/200] Iteration[400/800] Loss: 0.0300 Acc: 0.9941
训练:Epoch[052/200] Iteration[600/800] Loss: 0.0292 Acc: 0.9943
训练:Epoch[052/200] Iteration[800/800] Loss: 0.0236 Acc: 0.9944
训练:Epoch[053/200] Iteration[200/800] Loss: 0.0042 Acc: 0.9953
训练:Epoch[053/200] Iteration[400/800] Loss: 0.0219 Acc: 0.9927
训练:Epoch[053/200] Iteration[600/800] Loss: 0.0556 Acc: 0.9904
训练:Epoch[053/200] Iteration[800/800] Loss: 0.0502 Acc: 0.9912
训练:Epoch[054/200] Iteration[200/800] Loss: 0.0355 Acc: 0.9922
训练:Epoch[054/200] Iteration[400/800] Loss: 0.0396 Acc: 0.9920
训练:Epoch[054/200] Iteration[600/800] Loss: 0.0348 Acc: 0.9929
训练:Epoch[054/200] Iteration[800/800] Loss: 0.0278 Acc: 0.9939
训练:Epoch[055/200] Iteration[200/800] Loss: 0.0157 Acc: 0.9953
训练:Epoch[055/200] Iteration[400/800] Loss: 0.0086 Acc: 0.9967
训练:Epoch[055/200] Iteration[600/800] Loss: 0.0126 Acc: 0.9968
训练:Epoch[055/200] Iteration[800/800] Loss: 0.0214 Acc: 0.9959
训练:Epoch[056/200] Iteration[200/800] Loss: 0.0373 Acc: 0.9947
训练:Epoch[056/200] Iteration[400/800] Loss: 0.0236 Acc: 0.9947
训练:Epoch[056/200] Iteration[600/800] Loss: 0.0209 Acc: 0.9948
训练:Epoch[056/200] Iteration[800/800] Loss: 0.0176 Acc: 0.9956
训练:Epoch[057/200] Iteration[200/800] Loss: 0.0208 Acc: 0.9959
训练:Epoch[057/200] Iteration[400/800] Loss: 0.0146 Acc: 0.9962
训练:Epoch[057/200] Iteration[600/800] Loss: 0.0125 Acc: 0.9966
训练:Epoch[057/200] Iteration[800/800] Loss: 0.0244 Acc: 0.9955
训练:Epoch[058/200] Iteration[200/800] Loss: 0.0349 Acc: 0.9944
训练:Epoch[058/200] Iteration[400/800] Loss: 0.0619 Acc: 0.9939
训练:Epoch[058/200] Iteration[600/800] Loss: 0.0538 Acc: 0.9940
训练:Epoch[058/200] Iteration[800/800] Loss: 0.0448 Acc: 0.9942
训练:Epoch[059/200] Iteration[200/800] Loss: 0.0150 Acc: 0.9931
训练:Epoch[059/200] Iteration[400/800] Loss: 0.0205 Acc: 0.9945
训练:Epoch[059/200] Iteration[600/800] Loss: 0.0196 Acc: 0.9957
训练:Epoch[059/200] Iteration[800/800] Loss: 0.0168 Acc: 0.9961
测试:	Epoch[059/200] Iteration[200/200] Loss: 74.9458 Acc: 0.9734
训练:Epoch[060/200] Iteration[200/800] Loss: 0.0022 Acc: 0.9984
训练:Epoch[060/200] Iteration[400/800] Loss: 0.0094 Acc: 0.9973
训练:Epoch[060/200] Iteration[600/800] Loss: 0.0160 Acc: 0.9966
训练:Epoch[060/200] Iteration[800/800] Loss: 0.0142 Acc: 0.9962
训练:Epoch[061/200] Iteration[200/800] Loss: 0.0295 Acc: 0.9966
训练:Epoch[061/200] Iteration[400/800] Loss: 0.0277 Acc: 0.9955
训练:Epoch[061/200] Iteration[600/800] Loss: 0.0265 Acc: 0.9955
训练:Epoch[061/200] Iteration[800/800] Loss: 0.0280 Acc: 0.9953
训练:Epoch[062/200] Iteration[200/800] Loss: 0.0170 Acc: 0.9956
训练:Epoch[062/200] Iteration[400/800] Loss: 0.0148 Acc: 0.9967
训练:Epoch[062/200] Iteration[600/800] Loss: 0.0114 Acc: 0.9971
训练:Epoch[062/200] Iteration[800/800] Loss: 0.0118 Acc: 0.9969
训练:Epoch[063/200] Iteration[200/800] Loss: 0.0104 Acc: 0.9956
训练:Epoch[063/200] Iteration[400/800] Loss: 0.0066 Acc: 0.9975
训练:Epoch[063/200] Iteration[600/800] Loss: 0.0076 Acc: 0.9978
训练:Epoch[063/200] Iteration[800/800] Loss: 0.0188 Acc: 0.9970
训练:Epoch[064/200] Iteration[200/800] Loss: 0.0261 Acc: 0.9938
训练:Epoch[064/200] Iteration[400/800] Loss: 0.0272 Acc: 0.9925
训练:Epoch[064/200] Iteration[600/800] Loss: 0.0240 Acc: 0.9929
训练:Epoch[064/200] Iteration[800/800] Loss: 0.0195 Acc: 0.9941
训练:Epoch[065/200] Iteration[200/800] Loss: 0.0082 Acc: 0.9962
训练:Epoch[065/200] Iteration[400/800] Loss: 0.0123 Acc: 0.9967
训练:Epoch[065/200] Iteration[600/800] Loss: 0.0192 Acc: 0.9967
训练:Epoch[065/200] Iteration[800/800] Loss: 0.0160 Acc: 0.9967
训练:Epoch[066/200] Iteration[200/800] Loss: 0.0095 Acc: 0.9981
训练:Epoch[066/200] Iteration[400/800] Loss: 0.0172 Acc: 0.9969
训练:Epoch[066/200] Iteration[600/800] Loss: 0.0148 Acc: 0.9971
训练:Epoch[066/200] Iteration[800/800] Loss: 0.0133 Acc: 0.9974
训练:Epoch[067/200] Iteration[200/800] Loss: 0.0149 Acc: 0.9972
训练:Epoch[067/200] Iteration[400/800] Loss: 0.0263 Acc: 0.9938
训练:Epoch[067/200] Iteration[600/800] Loss: 0.0277 Acc: 0.9941
训练:Epoch[067/200] Iteration[800/800] Loss: 0.0233 Acc: 0.9945
训练:Epoch[068/200] Iteration[200/800] Loss: 0.0025 Acc: 0.9988
训练:Epoch[068/200] Iteration[400/800] Loss: 0.0079 Acc: 0.9972
训练:Epoch[068/200] Iteration[600/800] Loss: 0.0198 Acc: 0.9956
训练:Epoch[068/200] Iteration[800/800] Loss: 0.0203 Acc: 0.9947
训练:Epoch[069/200] Iteration[200/800] Loss: 0.0169 Acc: 0.9938
训练:Epoch[069/200] Iteration[400/800] Loss: 0.0176 Acc: 0.9952
训练:Epoch[069/200] Iteration[600/800] Loss: 0.0155 Acc: 0.9955
训练:Epoch[069/200] Iteration[800/800] Loss: 0.0167 Acc: 0.9949
测试:	Epoch[069/200] Iteration[200/200] Loss: 74.9490 Acc: 0.9719
训练:Epoch[070/200] Iteration[200/800] Loss: 0.0184 Acc: 0.9947
训练:Epoch[070/200] Iteration[400/800] Loss: 0.0119 Acc: 0.9961
训练:Epoch[070/200] Iteration[600/800] Loss: 0.0101 Acc: 0.9971
训练:Epoch[070/200] Iteration[800/800] Loss: 0.0097 Acc: 0.9971
训练:Epoch[071/200] Iteration[200/800] Loss: 0.0033 Acc: 0.9984
训练:Epoch[071/200] Iteration[400/800] Loss: 0.0023 Acc: 0.9986
训练:Epoch[071/200] Iteration[600/800] Loss: 0.0026 Acc: 0.9983
训练:Epoch[071/200] Iteration[800/800] Loss: 0.0037 Acc: 0.9985
训练:Epoch[072/200] Iteration[200/800] Loss: 0.0011 Acc: 1.0000
训练:Epoch[072/200] Iteration[400/800] Loss: 0.0009 Acc: 0.9984
训练:Epoch[072/200] Iteration[600/800] Loss: 0.0019 Acc: 0.9984
训练:Epoch[072/200] Iteration[800/800] Loss: 0.0191 Acc: 0.9958
训练:Epoch[073/200] Iteration[200/800] Loss: 0.0374 Acc: 0.9906
训练:Epoch[073/200] Iteration[400/800] Loss: 0.0519 Acc: 0.9909
训练:Epoch[073/200] Iteration[600/800] Loss: 0.0363 Acc: 0.9923
训练:Epoch[073/200] Iteration[800/800] Loss: 0.0292 Acc: 0.9935
训练:Epoch[074/200] Iteration[200/800] Loss: 0.0120 Acc: 0.9975
训练:Epoch[074/200] Iteration[400/800] Loss: 0.0102 Acc: 0.9983
训练:Epoch[074/200] Iteration[600/800] Loss: 0.0111 Acc: 0.9981
训练:Epoch[074/200] Iteration[800/800] Loss: 0.0126 Acc: 0.9977
训练:Epoch[075/200] Iteration[200/800] Loss: 0.0194 Acc: 0.9956
训练:Epoch[075/200] Iteration[400/800] Loss: 0.0192 Acc: 0.9955
训练:Epoch[075/200] Iteration[600/800] Loss: 0.0172 Acc: 0.9961
训练:Epoch[075/200] Iteration[800/800] Loss: 0.0259 Acc: 0.9962
训练:Epoch[076/200] Iteration[200/800] Loss: 0.0356 Acc: 0.9925
训练:Epoch[076/200] Iteration[400/800] Loss: 0.0261 Acc: 0.9942
训练:Epoch[076/200] Iteration[600/800] Loss: 0.0216 Acc: 0.9949
训练:Epoch[076/200] Iteration[800/800] Loss: 0.0186 Acc: 0.9954
训练:Epoch[077/200] Iteration[200/800] Loss: 0.0127 Acc: 0.9962
训练:Epoch[077/200] Iteration[400/800] Loss: 0.0113 Acc: 0.9964
训练:Epoch[077/200] Iteration[600/800] Loss: 0.0083 Acc: 0.9970
训练:Epoch[077/200] Iteration[800/800] Loss: 0.0074 Acc: 0.9973
训练:Epoch[078/200] Iteration[200/800] Loss: 0.0342 Acc: 0.9950
训练:Epoch[078/200] Iteration[400/800] Loss: 0.0333 Acc: 0.9950
训练:Epoch[078/200] Iteration[600/800] Loss: 0.0308 Acc: 0.9945
训练:Epoch[078/200] Iteration[800/800] Loss: 0.0276 Acc: 0.9943
训练:Epoch[079/200] Iteration[200/800] Loss: 0.0155 Acc: 0.9959
训练:Epoch[079/200] Iteration[400/800] Loss: 0.0127 Acc: 0.9958
训练:Epoch[079/200] Iteration[600/800] Loss: 0.0128 Acc: 0.9961
训练:Epoch[079/200] Iteration[800/800] Loss: 0.0155 Acc: 0.9952
测试:	Epoch[079/200] Iteration[200/200] Loss: 75.1064 Acc: 0.9797
训练:Epoch[080/200] Iteration[200/800] Loss: 0.0028 Acc: 0.9981
训练:Epoch[080/200] Iteration[400/800] Loss: 0.0077 Acc: 0.9972
训练:Epoch[080/200] Iteration[600/800] Loss: 0.0112 Acc: 0.9958
训练:Epoch[080/200] Iteration[800/800] Loss: 0.0200 Acc: 0.9957
训练:Epoch[081/200] Iteration[200/800] Loss: 0.0219 Acc: 0.9947
训练:Epoch[081/200] Iteration[400/800] Loss: 0.0133 Acc: 0.9961
训练:Epoch[081/200] Iteration[600/800] Loss: 0.0110 Acc: 0.9956
训练:Epoch[081/200] Iteration[800/800] Loss: 0.0118 Acc: 0.9956
训练:Epoch[082/200] Iteration[200/800] Loss: 0.0070 Acc: 0.9956
训练:Epoch[082/200] Iteration[400/800] Loss: 0.0082 Acc: 0.9959
训练:Epoch[082/200] Iteration[600/800] Loss: 0.0093 Acc: 0.9964
训练:Epoch[082/200] Iteration[800/800] Loss: 0.0102 Acc: 0.9962
训练:Epoch[083/200] Iteration[200/800] Loss: 0.0130 Acc: 0.9972
训练:Epoch[083/200] Iteration[400/800] Loss: 0.0072 Acc: 0.9967
训练:Epoch[083/200] Iteration[600/800] Loss: 0.0054 Acc: 0.9969
训练:Epoch[083/200] Iteration[800/800] Loss: 0.0041 Acc: 0.9972
训练:Epoch[084/200] Iteration[200/800] Loss: 0.0014 Acc: 0.9988
训练:Epoch[084/200] Iteration[400/800] Loss: 0.0016 Acc: 0.9989
训练:Epoch[084/200] Iteration[600/800] Loss: 0.0014 Acc: 0.9985
训练:Epoch[084/200] Iteration[800/800] Loss: 0.0012 Acc: 0.9986
训练:Epoch[085/200] Iteration[200/800] Loss: 0.0012 Acc: 0.9994
训练:Epoch[085/200] Iteration[400/800] Loss: 0.0417 Acc: 0.9970
训练:Epoch[085/200] Iteration[600/800] Loss: 0.0409 Acc: 0.9952
训练:Epoch[085/200] Iteration[800/800] Loss: 0.0435 Acc: 0.9942
训练:Epoch[086/200] Iteration[200/800] Loss: 0.0088 Acc: 0.9962
训练:Epoch[086/200] Iteration[400/800] Loss: 0.0052 Acc: 0.9980
训练:Epoch[086/200] Iteration[600/800] Loss: 0.0047 Acc: 0.9979
训练:Epoch[086/200] Iteration[800/800] Loss: 0.0041 Acc: 0.9983
训练:Epoch[087/200] Iteration[200/800] Loss: 0.0020 Acc: 0.9978
训练:Epoch[087/200] Iteration[400/800] Loss: 0.0023 Acc: 0.9984
训练:Epoch[087/200] Iteration[600/800] Loss: 0.0093 Acc: 0.9976
训练:Epoch[087/200] Iteration[800/800] Loss: 0.0210 Acc: 0.9965
训练:Epoch[088/200] Iteration[200/800] Loss: 0.0053 Acc: 0.9981
训练:Epoch[088/200] Iteration[400/800] Loss: 0.0049 Acc: 0.9977
训练:Epoch[088/200] Iteration[600/800] Loss: 0.0067 Acc: 0.9979
训练:Epoch[088/200] Iteration[800/800] Loss: 0.0132 Acc: 0.9973
训练:Epoch[089/200] Iteration[200/800] Loss: 0.0148 Acc: 0.9950
训练:Epoch[089/200] Iteration[400/800] Loss: 0.0110 Acc: 0.9958
训练:Epoch[089/200] Iteration[600/800] Loss: 0.0127 Acc: 0.9958
训练:Epoch[089/200] Iteration[800/800] Loss: 0.0143 Acc: 0.9962
测试:	Epoch[089/200] Iteration[200/200] Loss: 75.2459 Acc: 0.9697
训练:Epoch[090/200] Iteration[200/800] Loss: 0.0153 Acc: 0.9975
训练:Epoch[090/200] Iteration[400/800] Loss: 0.0123 Acc: 0.9970
训练:Epoch[090/200] Iteration[600/800] Loss: 0.0180 Acc: 0.9956
训练:Epoch[090/200] Iteration[800/800] Loss: 0.0143 Acc: 0.9959
训练:Epoch[091/200] Iteration[200/800] Loss: 0.0023 Acc: 0.9994
训练:Epoch[091/200] Iteration[400/800] Loss: 0.0071 Acc: 0.9981
训练:Epoch[091/200] Iteration[600/800] Loss: 0.0050 Acc: 0.9976
训练:Epoch[091/200] Iteration[800/800] Loss: 0.0054 Acc: 0.9975
训练:Epoch[092/200] Iteration[200/800] Loss: 0.0089 Acc: 0.9978
训练:Epoch[092/200] Iteration[400/800] Loss: 0.0217 Acc: 0.9970
训练:Epoch[092/200] Iteration[600/800] Loss: 0.0314 Acc: 0.9955
训练:Epoch[092/200] Iteration[800/800] Loss: 0.0276 Acc: 0.9957
训练:Epoch[093/200] Iteration[200/800] Loss: 0.0034 Acc: 0.9991
训练:Epoch[093/200] Iteration[400/800] Loss: 0.0136 Acc: 0.9967
训练:Epoch[093/200] Iteration[600/800] Loss: 0.0135 Acc: 0.9970
训练:Epoch[093/200] Iteration[800/800] Loss: 0.0107 Acc: 0.9974
训练:Epoch[094/200] Iteration[200/800] Loss: 0.0021 Acc: 0.9984
训练:Epoch[094/200] Iteration[400/800] Loss: 0.0082 Acc: 0.9980
训练:Epoch[094/200] Iteration[600/800] Loss: 0.0117 Acc: 0.9979
训练:Epoch[094/200] Iteration[800/800] Loss: 0.0127 Acc: 0.9979
训练:Epoch[095/200] Iteration[200/800] Loss: 0.0091 Acc: 0.9981
训练:Epoch[095/200] Iteration[400/800] Loss: 0.0128 Acc: 0.9970
训练:Epoch[095/200] Iteration[600/800] Loss: 0.0171 Acc: 0.9968
训练:Epoch[095/200] Iteration[800/800] Loss: 0.0179 Acc: 0.9958
训练:Epoch[096/200] Iteration[200/800] Loss: 0.0029 Acc: 0.9975
训练:Epoch[096/200] Iteration[400/800] Loss: 0.0022 Acc: 0.9977
训练:Epoch[096/200] Iteration[600/800] Loss: 0.0022 Acc: 0.9979
训练:Epoch[096/200] Iteration[800/800] Loss: 0.0051 Acc: 0.9977
训练:Epoch[097/200] Iteration[200/800] Loss: 0.0130 Acc: 0.9972
训练:Epoch[097/200] Iteration[400/800] Loss: 0.0117 Acc: 0.9972
训练:Epoch[097/200] Iteration[600/800] Loss: 0.0117 Acc: 0.9975
训练:Epoch[097/200] Iteration[800/800] Loss: 0.0103 Acc: 0.9973
训练:Epoch[098/200] Iteration[200/800] Loss: 0.0039 Acc: 0.9984
训练:Epoch[098/200] Iteration[400/800] Loss: 0.0055 Acc: 0.9981
训练:Epoch[098/200] Iteration[600/800] Loss: 0.0080 Acc: 0.9972
训练:Epoch[098/200] Iteration[800/800] Loss: 0.0085 Acc: 0.9968
训练:Epoch[099/200] Iteration[200/800] Loss: 0.0044 Acc: 0.9978
训练:Epoch[099/200] Iteration[400/800] Loss: 0.0099 Acc: 0.9966
训练:Epoch[099/200] Iteration[600/800] Loss: 0.0176 Acc: 0.9953
训练:Epoch[099/200] Iteration[800/800] Loss: 0.0163 Acc: 0.9956
测试:	Epoch[099/200] Iteration[200/200] Loss: 75.7316 Acc: 0.9756
训练:Epoch[100/200] Iteration[200/800] Loss: 0.0027 Acc: 0.9981
训练:Epoch[100/200] Iteration[400/800] Loss: 0.0087 Acc: 0.9977
训练:Epoch[100/200] Iteration[600/800] Loss: 0.0099 Acc: 0.9972
训练:Epoch[100/200] Iteration[800/800] Loss: 0.0087 Acc: 0.9973
训练:Epoch[101/200] Iteration[200/800] Loss: 0.0055 Acc: 0.9966
训练:Epoch[101/200] Iteration[400/800] Loss: 0.0037 Acc: 0.9973
训练:Epoch[101/200] Iteration[600/800] Loss: 0.0086 Acc: 0.9972
训练:Epoch[101/200] Iteration[800/800] Loss: 0.0078 Acc: 0.9973
训练:Epoch[102/200] Iteration[200/800] Loss: 0.0132 Acc: 0.9956
训练:Epoch[102/200] Iteration[400/800] Loss: 0.0148 Acc: 0.9958
训练:Epoch[102/200] Iteration[600/800] Loss: 0.0140 Acc: 0.9956
训练:Epoch[102/200] Iteration[800/800] Loss: 0.0124 Acc: 0.9959
训练:Epoch[103/200] Iteration[200/800] Loss: 0.0196 Acc: 0.9947
训练:Epoch[103/200] Iteration[400/800] Loss: 0.0189 Acc: 0.9958
训练:Epoch[103/200] Iteration[600/800] Loss: 0.0161 Acc: 0.9959
训练:Epoch[103/200] Iteration[800/800] Loss: 0.0145 Acc: 0.9964
训练:Epoch[104/200] Iteration[200/800] Loss: 0.0144 Acc: 0.9944
训练:Epoch[104/200] Iteration[400/800] Loss: 0.0100 Acc: 0.9956
训练:Epoch[104/200] Iteration[600/800] Loss: 0.0074 Acc: 0.9968
训练:Epoch[104/200] Iteration[800/800] Loss: 0.0066 Acc: 0.9970
训练:Epoch[105/200] Iteration[200/800] Loss: 0.0230 Acc: 0.9950
训练:Epoch[105/200] Iteration[400/800] Loss: 0.0162 Acc: 0.9962
训练:Epoch[105/200] Iteration[600/800] Loss: 0.0143 Acc: 0.9967
训练:Epoch[105/200] Iteration[800/800] Loss: 0.0114 Acc: 0.9969
训练:Epoch[106/200] Iteration[200/800] Loss: 0.0012 Acc: 0.9988
训练:Epoch[106/200] Iteration[400/800] Loss: 0.0014 Acc: 0.9988
训练:Epoch[106/200] Iteration[600/800] Loss: 0.0032 Acc: 0.9986
训练:Epoch[106/200] Iteration[800/800] Loss: 0.0094 Acc: 0.9973
训练:Epoch[107/200] Iteration[200/800] Loss: 0.0178 Acc: 0.9947
训练:Epoch[107/200] Iteration[400/800] Loss: 0.0102 Acc: 0.9967
训练:Epoch[107/200] Iteration[600/800] Loss: 0.0072 Acc: 0.9969
训练:Epoch[107/200] Iteration[800/800] Loss: 0.0058 Acc: 0.9973
训练:Epoch[108/200] Iteration[200/800] Loss: 0.0058 Acc: 0.9966
训练:Epoch[108/200] Iteration[400/800] Loss: 0.0083 Acc: 0.9966
训练:Epoch[108/200] Iteration[600/800] Loss: 0.0105 Acc: 0.9964
训练:Epoch[108/200] Iteration[800/800] Loss: 0.0109 Acc: 0.9958
训练:Epoch[109/200] Iteration[200/800] Loss: 0.0192 Acc: 0.9966
训练:Epoch[109/200] Iteration[400/800] Loss: 0.0128 Acc: 0.9969
训练:Epoch[109/200] Iteration[600/800] Loss: 0.0216 Acc: 0.9961
训练:Epoch[109/200] Iteration[800/800] Loss: 0.0186 Acc: 0.9962
测试:	Epoch[109/200] Iteration[200/200] Loss: 76.1727 Acc: 0.9819
训练:Epoch[110/200] Iteration[200/800] Loss: 0.0049 Acc: 0.9984
训练:Epoch[110/200] Iteration[400/800] Loss: 0.0062 Acc: 0.9989
训练:Epoch[110/200] Iteration[600/800] Loss: 0.0056 Acc: 0.9988
训练:Epoch[110/200] Iteration[800/800] Loss: 0.0054 Acc: 0.9987
训练:Epoch[111/200] Iteration[200/800] Loss: 0.0033 Acc: 0.9984
训练:Epoch[111/200] Iteration[400/800] Loss: 0.0022 Acc: 0.9984
训练:Epoch[111/200] Iteration[600/800] Loss: 0.0024 Acc: 0.9981
训练:Epoch[111/200] Iteration[800/800] Loss: 0.0106 Acc: 0.9971
训练:Epoch[112/200] Iteration[200/800] Loss: 0.0121 Acc: 0.9962
训练:Epoch[112/200] Iteration[400/800] Loss: 0.0106 Acc: 0.9966
训练:Epoch[112/200] Iteration[600/800] Loss: 0.0090 Acc: 0.9966
训练:Epoch[112/200] Iteration[800/800] Loss: 0.0070 Acc: 0.9970
训练:Epoch[113/200] Iteration[200/800] Loss: 0.0178 Acc: 0.9984
训练:Epoch[113/200] Iteration[400/800] Loss: 0.0131 Acc: 0.9973
训练:Epoch[113/200] Iteration[600/800] Loss: 0.0105 Acc: 0.9974
训练:Epoch[113/200] Iteration[800/800] Loss: 0.0111 Acc: 0.9970
训练:Epoch[114/200] Iteration[200/800] Loss: 0.0014 Acc: 0.9984
训练:Epoch[114/200] Iteration[400/800] Loss: 0.0131 Acc: 0.9981
训练:Epoch[114/200] Iteration[600/800] Loss: 0.0174 Acc: 0.9972
训练:Epoch[114/200] Iteration[800/800] Loss: 0.0181 Acc: 0.9967
训练:Epoch[115/200] Iteration[200/800] Loss: 0.0096 Acc: 0.9966
训练:Epoch[115/200] Iteration[400/800] Loss: 0.0084 Acc: 0.9969
训练:Epoch[115/200] Iteration[600/800] Loss: 0.0080 Acc: 0.9976
训练:Epoch[115/200] Iteration[800/800] Loss: 0.0106 Acc: 0.9975
训练:Epoch[116/200] Iteration[200/800] Loss: 0.0040 Acc: 0.9969
训练:Epoch[116/200] Iteration[400/800] Loss: 0.0021 Acc: 0.9977
训练:Epoch[116/200] Iteration[600/800] Loss: 0.0015 Acc: 0.9979
训练:Epoch[116/200] Iteration[800/800] Loss: 0.0062 Acc: 0.9979
训练:Epoch[117/200] Iteration[200/800] Loss: 0.0099 Acc: 0.9978
训练:Epoch[117/200] Iteration[400/800] Loss: 0.0058 Acc: 0.9983
训练:Epoch[117/200] Iteration[600/800] Loss: 0.0048 Acc: 0.9980
训练:Epoch[117/200] Iteration[800/800] Loss: 0.0063 Acc: 0.9980
训练:Epoch[118/200] Iteration[200/800] Loss: 0.0126 Acc: 0.9981
训练:Epoch[118/200] Iteration[400/800] Loss: 0.0104 Acc: 0.9972
训练:Epoch[118/200] Iteration[600/800] Loss: 0.0142 Acc: 0.9966
训练:Epoch[118/200] Iteration[800/800] Loss: 0.0139 Acc: 0.9968
训练:Epoch[119/200] Iteration[200/800] Loss: 0.0132 Acc: 0.9972
训练:Epoch[119/200] Iteration[400/800] Loss: 0.0070 Acc: 0.9980
训练:Epoch[119/200] Iteration[600/800] Loss: 0.0065 Acc: 0.9982
训练:Epoch[119/200] Iteration[800/800] Loss: 0.0080 Acc: 0.9977
测试:	Epoch[119/200] Iteration[200/200] Loss: 75.5123 Acc: 0.9744
训练:Epoch[120/200] Iteration[200/800] Loss: 0.0220 Acc: 0.9959
训练:Epoch[120/200] Iteration[400/800] Loss: 0.0221 Acc: 0.9956
训练:Epoch[120/200] Iteration[600/800] Loss: 0.0237 Acc: 0.9957
训练:Epoch[120/200] Iteration[800/800] Loss: 0.0192 Acc: 0.9963
训练:Epoch[121/200] Iteration[200/800] Loss: 0.0019 Acc: 0.9972
训练:Epoch[121/200] Iteration[400/800] Loss: 0.0011 Acc: 0.9983
训练:Epoch[121/200] Iteration[600/800] Loss: 0.0009 Acc: 0.9985
训练:Epoch[121/200] Iteration[800/800] Loss: 0.0012 Acc: 0.9987
训练:Epoch[122/200] Iteration[200/800] Loss: 0.0027 Acc: 0.9994
训练:Epoch[122/200] Iteration[400/800] Loss: 0.0025 Acc: 0.9986
训练:Epoch[122/200] Iteration[600/800] Loss: 0.0067 Acc: 0.9972
训练:Epoch[122/200] Iteration[800/800] Loss: 0.0058 Acc: 0.9975
训练:Epoch[123/200] Iteration[200/800] Loss: 0.0095 Acc: 0.9966
训练:Epoch[123/200] Iteration[400/800] Loss: 0.0131 Acc: 0.9970
训练:Epoch[123/200] Iteration[600/800] Loss: 0.0116 Acc: 0.9968
训练:Epoch[123/200] Iteration[800/800] Loss: 0.0141 Acc: 0.9965
训练:Epoch[124/200] Iteration[200/800] Loss: 0.0056 Acc: 0.9959
训练:Epoch[124/200] Iteration[400/800] Loss: 0.0046 Acc: 0.9962
训练:Epoch[124/200] Iteration[600/800] Loss: 0.0037 Acc: 0.9971
训练:Epoch[124/200] Iteration[800/800] Loss: 0.0036 Acc: 0.9973
训练:Epoch[125/200] Iteration[200/800] Loss: 0.0109 Acc: 0.9984
训练:Epoch[125/200] Iteration[400/800] Loss: 0.0103 Acc: 0.9973
训练:Epoch[125/200] Iteration[600/800] Loss: 0.0118 Acc: 0.9973
训练:Epoch[125/200] Iteration[800/800] Loss: 0.0111 Acc: 0.9972
训练:Epoch[126/200] Iteration[200/800] Loss: 0.0120 Acc: 0.9981
训练:Epoch[126/200] Iteration[400/800] Loss: 0.0067 Acc: 0.9983
训练:Epoch[126/200] Iteration[600/800] Loss: 0.0050 Acc: 0.9983
训练:Epoch[126/200] Iteration[800/800] Loss: 0.0042 Acc: 0.9984
训练:Epoch[127/200] Iteration[200/800] Loss: 0.0015 Acc: 0.9991
训练:Epoch[127/200] Iteration[400/800] Loss: 0.0010 Acc: 0.9991
训练:Epoch[127/200] Iteration[600/800] Loss: 0.0014 Acc: 0.9989
训练:Epoch[127/200] Iteration[800/800] Loss: 0.0017 Acc: 0.9988
训练:Epoch[128/200] Iteration[200/800] Loss: 0.0004 Acc: 0.9988
训练:Epoch[128/200] Iteration[400/800] Loss: 0.0069 Acc: 0.9975
训练:Epoch[128/200] Iteration[600/800] Loss: 0.0165 Acc: 0.9959
训练:Epoch[128/200] Iteration[800/800] Loss: 0.0160 Acc: 0.9959
训练:Epoch[129/200] Iteration[200/800] Loss: 0.0205 Acc: 0.9959
训练:Epoch[129/200] Iteration[400/800] Loss: 0.0220 Acc: 0.9959
训练:Epoch[129/200] Iteration[600/800] Loss: 0.0180 Acc: 0.9964
训练:Epoch[129/200] Iteration[800/800] Loss: 0.0159 Acc: 0.9969
测试:	Epoch[129/200] Iteration[200/200] Loss: 75.6418 Acc: 0.9762
训练:Epoch[130/200] Iteration[200/800] Loss: 0.0028 Acc: 0.9988
训练:Epoch[130/200] Iteration[400/800] Loss: 0.0045 Acc: 0.9989
训练:Epoch[130/200] Iteration[600/800] Loss: 0.0046 Acc: 0.9986
训练:Epoch[130/200] Iteration[800/800] Loss: 0.0045 Acc: 0.9985
训练:Epoch[131/200] Iteration[200/800] Loss: 0.0085 Acc: 0.9984
训练:Epoch[131/200] Iteration[400/800] Loss: 0.0082 Acc: 0.9981
训练:Epoch[131/200] Iteration[600/800] Loss: 0.0060 Acc: 0.9981
训练:Epoch[131/200] Iteration[800/800] Loss: 0.0056 Acc: 0.9983
训练:Epoch[132/200] Iteration[200/800] Loss: 0.0015 Acc: 0.9988
训练:Epoch[132/200] Iteration[400/800] Loss: 0.0051 Acc: 0.9991
训练:Epoch[132/200] Iteration[600/800] Loss: 0.0110 Acc: 0.9981
训练:Epoch[132/200] Iteration[800/800] Loss: 0.0096 Acc: 0.9979
训练:Epoch[133/200] Iteration[200/800] Loss: 0.0086 Acc: 0.9969
训练:Epoch[133/200] Iteration[400/800] Loss: 0.0129 Acc: 0.9972
训练:Epoch[133/200] Iteration[600/800] Loss: 0.0104 Acc: 0.9975
训练:Epoch[133/200] Iteration[800/800] Loss: 0.0134 Acc: 0.9973
训练:Epoch[134/200] Iteration[200/800] Loss: 0.0042 Acc: 0.9978
训练:Epoch[134/200] Iteration[400/800] Loss: 0.0033 Acc: 0.9983
训练:Epoch[134/200] Iteration[600/800] Loss: 0.0024 Acc: 0.9988
训练:Epoch[134/200] Iteration[800/800] Loss: 0.0024 Acc: 0.9984
训练:Epoch[135/200] Iteration[200/800] Loss: 0.0131 Acc: 0.9981
训练:Epoch[135/200] Iteration[400/800] Loss: 0.0206 Acc: 0.9970
训练:Epoch[135/200] Iteration[600/800] Loss: 0.0145 Acc: 0.9975
训练:Epoch[135/200] Iteration[800/800] Loss: 0.0112 Acc: 0.9976
训练:Epoch[136/200] Iteration[200/800] Loss: 0.0084 Acc: 0.9988
训练:Epoch[136/200] Iteration[400/800] Loss: 0.0052 Acc: 0.9988
训练:Epoch[136/200] Iteration[600/800] Loss: 0.0047 Acc: 0.9986
训练:Epoch[136/200] Iteration[800/800] Loss: 0.0065 Acc: 0.9985
训练:Epoch[137/200] Iteration[200/800] Loss: 0.0151 Acc: 0.9962
训练:Epoch[137/200] Iteration[400/800] Loss: 0.0158 Acc: 0.9967
训练:Epoch[137/200] Iteration[600/800] Loss: 0.0194 Acc: 0.9964
训练:Epoch[137/200] Iteration[800/800] Loss: 0.0159 Acc: 0.9965
训练:Epoch[138/200] Iteration[200/800] Loss: 0.0094 Acc: 0.9981
训练:Epoch[138/200] Iteration[400/800] Loss: 0.0054 Acc: 0.9984
训练:Epoch[138/200] Iteration[600/800] Loss: 0.0064 Acc: 0.9982
训练:Epoch[138/200] Iteration[800/800] Loss: 0.0073 Acc: 0.9981
训练:Epoch[139/200] Iteration[200/800] Loss: 0.0139 Acc: 0.9988
训练:Epoch[139/200] Iteration[400/800] Loss: 0.0093 Acc: 0.9989
训练:Epoch[139/200] Iteration[600/800] Loss: 0.0088 Acc: 0.9986
训练:Epoch[139/200] Iteration[800/800] Loss: 0.0079 Acc: 0.9979
测试:	Epoch[139/200] Iteration[200/200] Loss: 76.2330 Acc: 0.9797
训练:Epoch[140/200] Iteration[200/800] Loss: 0.0041 Acc: 0.9984
训练:Epoch[140/200] Iteration[400/800] Loss: 0.0040 Acc: 0.9984
训练:Epoch[140/200] Iteration[600/800] Loss: 0.0028 Acc: 0.9988
训练:Epoch[140/200] Iteration[800/800] Loss: 0.0021 Acc: 0.9986
训练:Epoch[141/200] Iteration[200/800] Loss: 0.0067 Acc: 0.9975
训练:Epoch[141/200] Iteration[400/800] Loss: 0.0072 Acc: 0.9978
训练:Epoch[141/200] Iteration[600/800] Loss: 0.0064 Acc: 0.9982
训练:Epoch[141/200] Iteration[800/800] Loss: 0.0055 Acc: 0.9985
训练:Epoch[142/200] Iteration[200/800] Loss: 0.0080 Acc: 0.9988
训练:Epoch[142/200] Iteration[400/800] Loss: 0.0049 Acc: 0.9983
训练:Epoch[142/200] Iteration[600/800] Loss: 0.0034 Acc: 0.9985
训练:Epoch[142/200] Iteration[800/800] Loss: 0.0033 Acc: 0.9985
训练:Epoch[143/200] Iteration[200/800] Loss: 0.0074 Acc: 0.9975
训练:Epoch[143/200] Iteration[400/800] Loss: 0.0043 Acc: 0.9983
训练:Epoch[143/200] Iteration[600/800] Loss: 0.0033 Acc: 0.9982
训练:Epoch[143/200] Iteration[800/800] Loss: 0.0031 Acc: 0.9983
训练:Epoch[144/200] Iteration[200/800] Loss: 0.0312 Acc: 0.9944
训练:Epoch[144/200] Iteration[400/800] Loss: 0.0262 Acc: 0.9953
训练:Epoch[144/200] Iteration[600/800] Loss: 0.0200 Acc: 0.9958
训练:Epoch[144/200] Iteration[800/800] Loss: 0.0166 Acc: 0.9965
训练:Epoch[145/200] Iteration[200/800] Loss: 0.0018 Acc: 0.9981
训练:Epoch[145/200] Iteration[400/800] Loss: 0.0053 Acc: 0.9975
训练:Epoch[145/200] Iteration[600/800] Loss: 0.0054 Acc: 0.9974
训练:Epoch[145/200] Iteration[800/800] Loss: 0.0055 Acc: 0.9977
训练:Epoch[146/200] Iteration[200/800] Loss: 0.0016 Acc: 0.9984
训练:Epoch[146/200] Iteration[400/800] Loss: 0.0016 Acc: 0.9989
训练:Epoch[146/200] Iteration[600/800] Loss: 0.0012 Acc: 0.9991
训练:Epoch[146/200] Iteration[800/800] Loss: 0.0011 Acc: 0.9992
训练:Epoch[147/200] Iteration[200/800] Loss: 0.0268 Acc: 0.9988
训练:Epoch[147/200] Iteration[400/800] Loss: 0.0170 Acc: 0.9977
训练:Epoch[147/200] Iteration[600/800] Loss: 0.0125 Acc: 0.9975
训练:Epoch[147/200] Iteration[800/800] Loss: 0.0113 Acc: 0.9974
训练:Epoch[148/200] Iteration[200/800] Loss: 0.0060 Acc: 0.9988
训练:Epoch[148/200] Iteration[400/800] Loss: 0.0036 Acc: 0.9984
训练:Epoch[148/200] Iteration[600/800] Loss: 0.0035 Acc: 0.9985
训练:Epoch[148/200] Iteration[800/800] Loss: 0.0027 Acc: 0.9987
训练:Epoch[149/200] Iteration[200/800] Loss: 0.0024 Acc: 0.9978
训练:Epoch[149/200] Iteration[400/800] Loss: 0.0016 Acc: 0.9983
训练:Epoch[149/200] Iteration[600/800] Loss: 0.0021 Acc: 0.9980
训练:Epoch[149/200] Iteration[800/800] Loss: 0.0044 Acc: 0.9978
测试:	Epoch[149/200] Iteration[200/200] Loss: 75.4309 Acc: 0.9750
训练:Epoch[150/200] Iteration[200/800] Loss: 0.0213 Acc: 0.9956
训练:Epoch[150/200] Iteration[400/800] Loss: 0.0211 Acc: 0.9962
训练:Epoch[150/200] Iteration[600/800] Loss: 0.0194 Acc: 0.9961
训练:Epoch[150/200] Iteration[800/800] Loss: 0.0147 Acc: 0.9967
训练:Epoch[151/200] Iteration[200/800] Loss: 0.0262 Acc: 0.9941
训练:Epoch[151/200] Iteration[400/800] Loss: 0.0190 Acc: 0.9958
训练:Epoch[151/200] Iteration[600/800] Loss: 0.0150 Acc: 0.9966
训练:Epoch[151/200] Iteration[800/800] Loss: 0.0118 Acc: 0.9966
训练:Epoch[152/200] Iteration[200/800] Loss: 0.0122 Acc: 0.9981
训练:Epoch[152/200] Iteration[400/800] Loss: 0.0099 Acc: 0.9983
训练:Epoch[152/200] Iteration[600/800] Loss: 0.0152 Acc: 0.9976
训练:Epoch[152/200] Iteration[800/800] Loss: 0.0129 Acc: 0.9974
训练:Epoch[153/200] Iteration[200/800] Loss: 0.0060 Acc: 0.9984
训练:Epoch[153/200] Iteration[400/800] Loss: 0.0053 Acc: 0.9983
训练:Epoch[153/200] Iteration[600/800] Loss: 0.0045 Acc: 0.9986
训练:Epoch[153/200] Iteration[800/800] Loss: 0.0041 Acc: 0.9988
训练:Epoch[154/200] Iteration[200/800] Loss: 0.0124 Acc: 0.9972
训练:Epoch[154/200] Iteration[400/800] Loss: 0.0085 Acc: 0.9981
训练:Epoch[154/200] Iteration[600/800] Loss: 0.0062 Acc: 0.9983
训练:Epoch[154/200] Iteration[800/800] Loss: 0.0060 Acc: 0.9983
训练:Epoch[155/200] Iteration[200/800] Loss: 0.0036 Acc: 0.9975
训练:Epoch[155/200] Iteration[400/800] Loss: 0.0039 Acc: 0.9978
训练:Epoch[155/200] Iteration[600/800] Loss: 0.0044 Acc: 0.9978
训练:Epoch[155/200] Iteration[800/800] Loss: 0.0043 Acc: 0.9978
训练:Epoch[156/200] Iteration[200/800] Loss: 0.0008 Acc: 0.9975
训练:Epoch[156/200] Iteration[400/800] Loss: 0.0008 Acc: 0.9981
训练:Epoch[156/200] Iteration[600/800] Loss: 0.0057 Acc: 0.9972
训练:Epoch[156/200] Iteration[800/800] Loss: 0.0072 Acc: 0.9968
训练:Epoch[157/200] Iteration[200/800] Loss: 0.0028 Acc: 0.9938
训练:Epoch[157/200] Iteration[400/800] Loss: 0.0037 Acc: 0.9956
训练:Epoch[157/200] Iteration[600/800] Loss: 0.0033 Acc: 0.9968
训练:Epoch[157/200] Iteration[800/800] Loss: 0.0027 Acc: 0.9968
训练:Epoch[158/200] Iteration[200/800] Loss: 0.0066 Acc: 0.9962
训练:Epoch[158/200] Iteration[400/800] Loss: 0.0086 Acc: 0.9966
训练:Epoch[158/200] Iteration[600/800] Loss: 0.0068 Acc: 0.9972
训练:Epoch[158/200] Iteration[800/800] Loss: 0.0058 Acc: 0.9972
训练:Epoch[159/200] Iteration[200/800] Loss: 0.0039 Acc: 0.9981
训练:Epoch[159/200] Iteration[400/800] Loss: 0.0071 Acc: 0.9978
训练:Epoch[159/200] Iteration[600/800] Loss: 0.0071 Acc: 0.9978
训练:Epoch[159/200] Iteration[800/800] Loss: 0.0058 Acc: 0.9977
测试:	Epoch[159/200] Iteration[200/200] Loss: 76.1474 Acc: 0.9759
训练:Epoch[160/200] Iteration[200/800] Loss: 0.0027 Acc: 0.9994
训练:Epoch[160/200] Iteration[400/800] Loss: 0.0024 Acc: 0.9988
训练:Epoch[160/200] Iteration[600/800] Loss: 0.0027 Acc: 0.9985
训练:Epoch[160/200] Iteration[800/800] Loss: 0.0058 Acc: 0.9979
训练:Epoch[161/200] Iteration[200/800] Loss: 0.0113 Acc: 0.9966
训练:Epoch[161/200] Iteration[400/800] Loss: 0.0121 Acc: 0.9973
训练:Epoch[161/200] Iteration[600/800] Loss: 0.0091 Acc: 0.9978
训练:Epoch[161/200] Iteration[800/800] Loss: 0.0072 Acc: 0.9978
训练:Epoch[162/200] Iteration[200/800] Loss: 0.0013 Acc: 0.9984
训练:Epoch[162/200] Iteration[400/800] Loss: 0.0028 Acc: 0.9984
训练:Epoch[162/200] Iteration[600/800] Loss: 0.0077 Acc: 0.9977
训练:Epoch[162/200] Iteration[800/800] Loss: 0.0062 Acc: 0.9981
训练:Epoch[163/200] Iteration[200/800] Loss: 0.0011 Acc: 0.9981
训练:Epoch[163/200] Iteration[400/800] Loss: 0.0010 Acc: 0.9988
训练:Epoch[163/200] Iteration[600/800] Loss: 0.0008 Acc: 0.9991
训练:Epoch[163/200] Iteration[800/800] Loss: 0.0006 Acc: 0.9991
训练:Epoch[164/200] Iteration[200/800] Loss: 0.0034 Acc: 0.9975
训练:Epoch[164/200] Iteration[400/800] Loss: 0.0122 Acc: 0.9959
训练:Epoch[164/200] Iteration[600/800] Loss: 0.0118 Acc: 0.9964
训练:Epoch[164/200] Iteration[800/800] Loss: 0.0129 Acc: 0.9962
训练:Epoch[165/200] Iteration[200/800] Loss: 0.0121 Acc: 0.9972
训练:Epoch[165/200] Iteration[400/800] Loss: 0.0074 Acc: 0.9980
训练:Epoch[165/200] Iteration[600/800] Loss: 0.0058 Acc: 0.9984
训练:Epoch[165/200] Iteration[800/800] Loss: 0.0047 Acc: 0.9988
训练:Epoch[166/200] Iteration[200/800] Loss: 0.0004 Acc: 0.9991
训练:Epoch[166/200] Iteration[400/800] Loss: 0.0003 Acc: 0.9989
训练:Epoch[166/200] Iteration[600/800] Loss: 0.0003 Acc: 0.9991
训练:Epoch[166/200] Iteration[800/800] Loss: 0.0003 Acc: 0.9993
训练:Epoch[167/200] Iteration[200/800] Loss: 0.0038 Acc: 0.9991
训练:Epoch[167/200] Iteration[400/800] Loss: 0.0024 Acc: 0.9989
训练:Epoch[167/200] Iteration[600/800] Loss: 0.0028 Acc: 0.9984
训练:Epoch[167/200] Iteration[800/800] Loss: 0.0025 Acc: 0.9986
训练:Epoch[168/200] Iteration[200/800] Loss: 0.0112 Acc: 0.9991
训练:Epoch[168/200] Iteration[400/800] Loss: 0.0155 Acc: 0.9978
训练:Epoch[168/200] Iteration[600/800] Loss: 0.0133 Acc: 0.9976
训练:Epoch[168/200] Iteration[800/800] Loss: 0.0107 Acc: 0.9980
训练:Epoch[169/200] Iteration[200/800] Loss: 0.0038 Acc: 0.9972
训练:Epoch[169/200] Iteration[400/800] Loss: 0.0031 Acc: 0.9978
训练:Epoch[169/200] Iteration[600/800] Loss: 0.0033 Acc: 0.9977
训练:Epoch[169/200] Iteration[800/800] Loss: 0.0029 Acc: 0.9978
测试:	Epoch[169/200] Iteration[200/200] Loss: 75.8078 Acc: 0.9797
训练:Epoch[170/200] Iteration[200/800] Loss: 0.0006 Acc: 0.9981
训练:Epoch[170/200] Iteration[400/800] Loss: 0.0030 Acc: 0.9984
训练:Epoch[170/200] Iteration[600/800] Loss: 0.0040 Acc: 0.9985
训练:Epoch[170/200] Iteration[800/800] Loss: 0.0039 Acc: 0.9986
训练:Epoch[171/200] Iteration[200/800] Loss: 0.0054 Acc: 0.9988
训练:Epoch[171/200] Iteration[400/800] Loss: 0.0045 Acc: 0.9980
训练:Epoch[171/200] Iteration[600/800] Loss: 0.0050 Acc: 0.9983
训练:Epoch[171/200] Iteration[800/800] Loss: 0.0044 Acc: 0.9983
训练:Epoch[172/200] Iteration[200/800] Loss: 0.0010 Acc: 0.9994
训练:Epoch[172/200] Iteration[400/800] Loss: 0.0010 Acc: 0.9991
训练:Epoch[172/200] Iteration[600/800] Loss: 0.0007 Acc: 0.9990
训练:Epoch[172/200] Iteration[800/800] Loss: 0.0008 Acc: 0.9989
训练:Epoch[173/200] Iteration[200/800] Loss: 0.0002 Acc: 0.9994
训练:Epoch[173/200] Iteration[400/800] Loss: 0.0001 Acc: 0.9984
训练:Epoch[173/200] Iteration[600/800] Loss: 0.0004 Acc: 0.9984
训练:Epoch[173/200] Iteration[800/800] Loss: 0.0037 Acc: 0.9977
训练:Epoch[174/200] Iteration[200/800] Loss: 0.0133 Acc: 0.9950
训练:Epoch[174/200] Iteration[400/800] Loss: 0.0119 Acc: 0.9950
训练:Epoch[174/200] Iteration[600/800] Loss: 0.0095 Acc: 0.9954
训练:Epoch[174/200] Iteration[800/800] Loss: 0.0087 Acc: 0.9955
训练:Epoch[175/200] Iteration[200/800] Loss: 0.0038 Acc: 0.9984
训练:Epoch[175/200] Iteration[400/800] Loss: 0.0028 Acc: 0.9983
训练:Epoch[175/200] Iteration[600/800] Loss: 0.0029 Acc: 0.9980
训练:Epoch[175/200] Iteration[800/800] Loss: 0.0029 Acc: 0.9980
训练:Epoch[176/200] Iteration[200/800] Loss: 0.0096 Acc: 0.9950
训练:Epoch[176/200] Iteration[400/800] Loss: 0.0055 Acc: 0.9959
训练:Epoch[176/200] Iteration[600/800] Loss: 0.0079 Acc: 0.9960
训练:Epoch[176/200] Iteration[800/800] Loss: 0.0095 Acc: 0.9959
训练:Epoch[177/200] Iteration[200/800] Loss: 0.0056 Acc: 0.9959
训练:Epoch[177/200] Iteration[400/800] Loss: 0.0038 Acc: 0.9969
训练:Epoch[177/200] Iteration[600/800] Loss: 0.0028 Acc: 0.9972
训练:Epoch[177/200] Iteration[800/800] Loss: 0.0023 Acc: 0.9977
训练:Epoch[178/200] Iteration[200/800] Loss: 0.0009 Acc: 0.9988
训练:Epoch[178/200] Iteration[400/800] Loss: 0.0008 Acc: 0.9989
训练:Epoch[178/200] Iteration[600/800] Loss: 0.0012 Acc: 0.9989
训练:Epoch[178/200] Iteration[800/800] Loss: 0.0028 Acc: 0.9989
训练:Epoch[179/200] Iteration[200/800] Loss: 0.0078 Acc: 0.9984
训练:Epoch[179/200] Iteration[400/800] Loss: 0.0043 Acc: 0.9981
训练:Epoch[179/200] Iteration[600/800] Loss: 0.0053 Acc: 0.9979
训练:Epoch[179/200] Iteration[800/800] Loss: 0.0044 Acc: 0.9979
测试:	Epoch[179/200] Iteration[200/200] Loss: 76.1876 Acc: 0.9788
训练:Epoch[180/200] Iteration[200/800] Loss: 0.0034 Acc: 0.9988
训练:Epoch[180/200] Iteration[400/800] Loss: 0.0117 Acc: 0.9973
训练:Epoch[180/200] Iteration[600/800] Loss: 0.0094 Acc: 0.9973
训练:Epoch[180/200] Iteration[800/800] Loss: 0.0073 Acc: 0.9975
训练:Epoch[181/200] Iteration[200/800] Loss: 0.0022 Acc: 0.9984
训练:Epoch[181/200] Iteration[400/800] Loss: 0.0014 Acc: 0.9984
训练:Epoch[181/200] Iteration[600/800] Loss: 0.0020 Acc: 0.9983
训练:Epoch[181/200] Iteration[800/800] Loss: 0.0024 Acc: 0.9985
训练:Epoch[182/200] Iteration[200/800] Loss: 0.0114 Acc: 0.9975
训练:Epoch[182/200] Iteration[400/800] Loss: 0.0066 Acc: 0.9970
训练:Epoch[182/200] Iteration[600/800] Loss: 0.0057 Acc: 0.9971
训练:Epoch[182/200] Iteration[800/800] Loss: 0.0070 Acc: 0.9976
训练:Epoch[183/200] Iteration[200/800] Loss: 0.0099 Acc: 0.9959
训练:Epoch[183/200] Iteration[400/800] Loss: 0.0065 Acc: 0.9969
训练:Epoch[183/200] Iteration[600/800] Loss: 0.0054 Acc: 0.9975
训练:Epoch[183/200] Iteration[800/800] Loss: 0.0043 Acc: 0.9980
训练:Epoch[184/200] Iteration[200/800] Loss: 0.0009 Acc: 0.9988
训练:Epoch[184/200] Iteration[400/800] Loss: 0.0006 Acc: 0.9988
训练:Epoch[184/200] Iteration[600/800] Loss: 0.0005 Acc: 0.9988
训练:Epoch[184/200] Iteration[800/800] Loss: 0.0013 Acc: 0.9986
训练:Epoch[185/200] Iteration[200/800] Loss: 0.0070 Acc: 0.9972
训练:Epoch[185/200] Iteration[400/800] Loss: 0.0056 Acc: 0.9981
训练:Epoch[185/200] Iteration[600/800] Loss: 0.0068 Acc: 0.9979
训练:Epoch[185/200] Iteration[800/800] Loss: 0.0096 Acc: 0.9975
训练:Epoch[186/200] Iteration[200/800] Loss: 0.0084 Acc: 0.9975
训练:Epoch[186/200] Iteration[400/800] Loss: 0.0084 Acc: 0.9978
训练:Epoch[186/200] Iteration[600/800] Loss: 0.0073 Acc: 0.9978
训练:Epoch[186/200] Iteration[800/800] Loss: 0.0057 Acc: 0.9981
训练:Epoch[187/200] Iteration[200/800] Loss: 0.0007 Acc: 0.9991
训练:Epoch[187/200] Iteration[400/800] Loss: 0.0007 Acc: 0.9995
训练:Epoch[187/200] Iteration[600/800] Loss: 0.0005 Acc: 0.9994
训练:Epoch[187/200] Iteration[800/800] Loss: 0.0013 Acc: 0.9993
训练:Epoch[188/200] Iteration[200/800] Loss: 0.0013 Acc: 0.9978
训练:Epoch[188/200] Iteration[400/800] Loss: 0.0009 Acc: 0.9984
训练:Epoch[188/200] Iteration[600/800] Loss: 0.0024 Acc: 0.9980
训练:Epoch[188/200] Iteration[800/800] Loss: 0.0063 Acc: 0.9977
训练:Epoch[189/200] Iteration[200/800] Loss: 0.0058 Acc: 0.9975
训练:Epoch[189/200] Iteration[400/800] Loss: 0.0045 Acc: 0.9978
训练:Epoch[189/200] Iteration[600/800] Loss: 0.0042 Acc: 0.9980
训练:Epoch[189/200] Iteration[800/800] Loss: 0.0051 Acc: 0.9983
测试:	Epoch[189/200] Iteration[200/200] Loss: 76.2382 Acc: 0.9781
训练:Epoch[190/200] Iteration[200/800] Loss: 0.0040 Acc: 0.9975
训练:Epoch[190/200] Iteration[400/800] Loss: 0.0034 Acc: 0.9983
训练:Epoch[190/200] Iteration[600/800] Loss: 0.0047 Acc: 0.9985
训练:Epoch[190/200] Iteration[800/800] Loss: 0.0041 Acc: 0.9982
训练:Epoch[191/200] Iteration[200/800] Loss: 0.0002 Acc: 1.0000
训练:Epoch[191/200] Iteration[400/800] Loss: 0.0041 Acc: 0.9995
训练:Epoch[191/200] Iteration[600/800] Loss: 0.0064 Acc: 0.9979
训练:Epoch[191/200] Iteration[800/800] Loss: 0.0053 Acc: 0.9977
训练:Epoch[192/200] Iteration[200/800] Loss: 0.0003 Acc: 0.9994
训练:Epoch[192/200] Iteration[400/800] Loss: 0.0010 Acc: 0.9991
训练:Epoch[192/200] Iteration[600/800] Loss: 0.0077 Acc: 0.9985
训练:Epoch[192/200] Iteration[800/800] Loss: 0.0069 Acc: 0.9984
训练:Epoch[193/200] Iteration[200/800] Loss: 0.0032 Acc: 0.9975
训练:Epoch[193/200] Iteration[400/800] Loss: 0.0074 Acc: 0.9969
训练:Epoch[193/200] Iteration[600/800] Loss: 0.0063 Acc: 0.9979
训练:Epoch[193/200] Iteration[800/800] Loss: 0.0070 Acc: 0.9980
训练:Epoch[194/200] Iteration[200/800] Loss: 0.0092 Acc: 0.9959
训练:Epoch[194/200] Iteration[400/800] Loss: 0.0102 Acc: 0.9970
训练:Epoch[194/200] Iteration[600/800] Loss: 0.0077 Acc: 0.9975
训练:Epoch[194/200] Iteration[800/800] Loss: 0.0065 Acc: 0.9976
训练:Epoch[195/200] Iteration[200/800] Loss: 0.0028 Acc: 0.9975
训练:Epoch[195/200] Iteration[400/800] Loss: 0.0045 Acc: 0.9980
训练:Epoch[195/200] Iteration[600/800] Loss: 0.0042 Acc: 0.9982
训练:Epoch[195/200] Iteration[800/800] Loss: 0.0044 Acc: 0.9982
训练:Epoch[196/200] Iteration[200/800] Loss: 0.0009 Acc: 0.9988
训练:Epoch[196/200] Iteration[400/800] Loss: 0.0009 Acc: 0.9991
训练:Epoch[196/200] Iteration[600/800] Loss: 0.0009 Acc: 0.9993
训练:Epoch[196/200] Iteration[800/800] Loss: 0.0025 Acc: 0.9994
训练:Epoch[197/200] Iteration[200/800] Loss: 0.0008 Acc: 0.9991
训练:Epoch[197/200] Iteration[400/800] Loss: 0.0014 Acc: 0.9988
训练:Epoch[197/200] Iteration[600/800] Loss: 0.0016 Acc: 0.9986
训练:Epoch[197/200] Iteration[800/800] Loss: 0.0034 Acc: 0.9986
训练:Epoch[198/200] Iteration[200/800] Loss: 0.0303 Acc: 0.9944
训练:Epoch[198/200] Iteration[400/800] Loss: 0.0238 Acc: 0.9962
训练:Epoch[198/200] Iteration[600/800] Loss: 0.0183 Acc: 0.9973
训练:Epoch[198/200] Iteration[800/800] Loss: 0.0141 Acc: 0.9977
训练:Epoch[199/200] Iteration[200/800] Loss: 0.0002 Acc: 0.9994
训练:Epoch[199/200] Iteration[400/800] Loss: 0.0004 Acc: 0.9994
训练:Epoch[199/200] Iteration[600/800] Loss: 0.0006 Acc: 0.9993
训练:Epoch[199/200] Iteration[800/800] Loss: 0.0022 Acc: 0.9994
测试:	Epoch[199/200] Iteration[200/200] Loss: 76.4280 Acc: 0.9800
