训练:Epoch[000/200] Iteration[200/800] Loss: 37.0641 Acc: 0.6450
训练:Epoch[000/200] Iteration[400/800] Loss: 35.0635 Acc: 0.7253
训练:Epoch[000/200] Iteration[600/800] Loss: 32.9099 Acc: 0.7583
训练:Epoch[000/200] Iteration[800/800] Loss: 29.6997 Acc: 0.7676
训练:Epoch[001/200] Iteration[200/800] Loss: 11.6002 Acc: 0.8497
训练:Epoch[001/200] Iteration[400/800] Loss: 10.0606 Acc: 0.8694
训练:Epoch[001/200] Iteration[600/800] Loss: 9.1608 Acc: 0.8877
训练:Epoch[001/200] Iteration[800/800] Loss: 8.6479 Acc: 0.8975
训练:Epoch[002/200] Iteration[200/800] Loss: 6.4268 Acc: 0.9666
训练:Epoch[002/200] Iteration[400/800] Loss: 6.3988 Acc: 0.9641
训练:Epoch[002/200] Iteration[600/800] Loss: 6.3986 Acc: 0.9635
训练:Epoch[002/200] Iteration[800/800] Loss: 6.4466 Acc: 0.9602
训练:Epoch[003/200] Iteration[200/800] Loss: 6.3294 Acc: 0.9644
训练:Epoch[003/200] Iteration[400/800] Loss: 6.4079 Acc: 0.9605
训练:Epoch[003/200] Iteration[600/800] Loss: 6.4365 Acc: 0.9606
训练:Epoch[003/200] Iteration[800/800] Loss: 6.3998 Acc: 0.9623
训练:Epoch[004/200] Iteration[200/800] Loss: 6.1792 Acc: 0.9794
训练:Epoch[004/200] Iteration[400/800] Loss: 6.1699 Acc: 0.9802
训练:Epoch[004/200] Iteration[600/800] Loss: 6.1510 Acc: 0.9830
训练:Epoch[004/200] Iteration[800/800] Loss: 6.1662 Acc: 0.9829
训练:Epoch[005/200] Iteration[200/800] Loss: 6.3300 Acc: 0.9719
训练:Epoch[005/200] Iteration[400/800] Loss: 6.4314 Acc: 0.9663
训练:Epoch[005/200] Iteration[600/800] Loss: 6.4290 Acc: 0.9654
训练:Epoch[005/200] Iteration[800/800] Loss: 6.3744 Acc: 0.9676
训练:Epoch[006/200] Iteration[200/800] Loss: 6.0769 Acc: 0.9838
训练:Epoch[006/200] Iteration[400/800] Loss: 6.0560 Acc: 0.9847
训练:Epoch[006/200] Iteration[600/800] Loss: 6.0572 Acc: 0.9867
训练:Epoch[006/200] Iteration[800/800] Loss: 6.1111 Acc: 0.9832
训练:Epoch[007/200] Iteration[200/800] Loss: 6.2896 Acc: 0.9775
训练:Epoch[007/200] Iteration[400/800] Loss: 6.2384 Acc: 0.9788
训练:Epoch[007/200] Iteration[600/800] Loss: 6.2180 Acc: 0.9799
训练:Epoch[007/200] Iteration[800/800] Loss: 6.1949 Acc: 0.9806
训练:Epoch[008/200] Iteration[200/800] Loss: 6.1122 Acc: 0.9884
训练:Epoch[008/200] Iteration[400/800] Loss: 6.0700 Acc: 0.9897
训练:Epoch[008/200] Iteration[600/800] Loss: 6.0414 Acc: 0.9917
训练:Epoch[008/200] Iteration[800/800] Loss: 6.0242 Acc: 0.9920
训练:Epoch[009/200] Iteration[200/800] Loss: 5.9827 Acc: 0.9944
训练:Epoch[009/200] Iteration[400/800] Loss: 5.9847 Acc: 0.9938
训练:Epoch[009/200] Iteration[600/800] Loss: 6.0768 Acc: 0.9906
训练:Epoch[009/200] Iteration[800/800] Loss: 6.1310 Acc: 0.9863
测试:	Epoch[009/200] Iteration[200/200] Loss: 77.3049 Acc: 0.9597
训练:Epoch[010/200] Iteration[200/800] Loss: 6.1870 Acc: 0.9819
训练:Epoch[010/200] Iteration[400/800] Loss: 6.1313 Acc: 0.9827
训练:Epoch[010/200] Iteration[600/800] Loss: 6.0853 Acc: 0.9867
训练:Epoch[010/200] Iteration[800/800] Loss: 6.0530 Acc: 0.9882
训练:Epoch[011/200] Iteration[200/800] Loss: 5.9493 Acc: 0.9953
训练:Epoch[011/200] Iteration[400/800] Loss: 5.9979 Acc: 0.9944
训练:Epoch[011/200] Iteration[600/800] Loss: 6.0005 Acc: 0.9938
训练:Epoch[011/200] Iteration[800/800] Loss: 6.0097 Acc: 0.9924
训练:Epoch[012/200] Iteration[200/800] Loss: 6.0747 Acc: 0.9875
训练:Epoch[012/200] Iteration[400/800] Loss: 6.0928 Acc: 0.9869
训练:Epoch[012/200] Iteration[600/800] Loss: 6.0476 Acc: 0.9888
训练:Epoch[012/200] Iteration[800/800] Loss: 6.0325 Acc: 0.9899
训练:Epoch[013/200] Iteration[200/800] Loss: 6.0439 Acc: 0.9897
训练:Epoch[013/200] Iteration[400/800] Loss: 6.0151 Acc: 0.9912
训练:Epoch[013/200] Iteration[600/800] Loss: 6.0125 Acc: 0.9906
训练:Epoch[013/200] Iteration[800/800] Loss: 6.0000 Acc: 0.9921
训练:Epoch[014/200] Iteration[200/800] Loss: 5.9138 Acc: 0.9953
训练:Epoch[014/200] Iteration[400/800] Loss: 5.9240 Acc: 0.9956
训练:Epoch[014/200] Iteration[600/800] Loss: 5.9240 Acc: 0.9954
训练:Epoch[014/200] Iteration[800/800] Loss: 5.9266 Acc: 0.9954
训练:Epoch[015/200] Iteration[200/800] Loss: 5.8646 Acc: 0.9988
训练:Epoch[015/200] Iteration[400/800] Loss: 5.9005 Acc: 0.9975
训练:Epoch[015/200] Iteration[600/800] Loss: 5.9221 Acc: 0.9960
训练:Epoch[015/200] Iteration[800/800] Loss: 5.9177 Acc: 0.9961
训练:Epoch[016/200] Iteration[200/800] Loss: 5.8917 Acc: 0.9972
训练:Epoch[016/200] Iteration[400/800] Loss: 5.8845 Acc: 0.9973
训练:Epoch[016/200] Iteration[600/800] Loss: 5.8921 Acc: 0.9970
训练:Epoch[016/200] Iteration[800/800] Loss: 5.8823 Acc: 0.9972
训练:Epoch[017/200] Iteration[200/800] Loss: 5.8335 Acc: 0.9991
训练:Epoch[017/200] Iteration[400/800] Loss: 5.8205 Acc: 0.9989
训练:Epoch[017/200] Iteration[600/800] Loss: 5.8931 Acc: 0.9968
训练:Epoch[017/200] Iteration[800/800] Loss: 5.9380 Acc: 0.9947
训练:Epoch[018/200] Iteration[200/800] Loss: 5.9155 Acc: 0.9978
训练:Epoch[018/200] Iteration[400/800] Loss: 5.8961 Acc: 0.9972
训练:Epoch[018/200] Iteration[600/800] Loss: 5.8935 Acc: 0.9971
训练:Epoch[018/200] Iteration[800/800] Loss: 5.8973 Acc: 0.9970
训练:Epoch[019/200] Iteration[200/800] Loss: 5.9032 Acc: 0.9938
训练:Epoch[019/200] Iteration[400/800] Loss: 5.8671 Acc: 0.9959
训练:Epoch[019/200] Iteration[600/800] Loss: 5.8758 Acc: 0.9961
训练:Epoch[019/200] Iteration[800/800] Loss: 5.8597 Acc: 0.9970
测试:	Epoch[019/200] Iteration[200/200] Loss: 77.2525 Acc: 0.9872
训练:Epoch[020/200] Iteration[200/800] Loss: 5.7835 Acc: 1.0000
训练:Epoch[020/200] Iteration[400/800] Loss: 5.7736 Acc: 1.0000
训练:Epoch[020/200] Iteration[600/800] Loss: 5.7686 Acc: 1.0000
训练:Epoch[020/200] Iteration[800/800] Loss: 5.7628 Acc: 0.9998
训练:Epoch[021/200] Iteration[200/800] Loss: 5.7435 Acc: 0.9994
训练:Epoch[021/200] Iteration[400/800] Loss: 5.7949 Acc: 0.9986
训练:Epoch[021/200] Iteration[600/800] Loss: 5.9408 Acc: 0.9942
训练:Epoch[021/200] Iteration[800/800] Loss: 5.9496 Acc: 0.9935
训练:Epoch[022/200] Iteration[200/800] Loss: 5.8565 Acc: 0.9972
训练:Epoch[022/200] Iteration[400/800] Loss: 5.8368 Acc: 0.9977
训练:Epoch[022/200] Iteration[600/800] Loss: 5.8268 Acc: 0.9977
训练:Epoch[022/200] Iteration[800/800] Loss: 5.8144 Acc: 0.9983
训练:Epoch[023/200] Iteration[200/800] Loss: 5.7526 Acc: 1.0000
训练:Epoch[023/200] Iteration[400/800] Loss: 5.7492 Acc: 0.9998
训练:Epoch[023/200] Iteration[600/800] Loss: 5.7424 Acc: 0.9999
训练:Epoch[023/200] Iteration[800/800] Loss: 5.7357 Acc: 0.9999
训练:Epoch[024/200] Iteration[200/800] Loss: 5.7071 Acc: 1.0000
训练:Epoch[024/200] Iteration[400/800] Loss: 5.7025 Acc: 0.9998
训练:Epoch[024/200] Iteration[600/800] Loss: 5.6987 Acc: 0.9999
训练:Epoch[024/200] Iteration[800/800] Loss: 5.6952 Acc: 0.9999
训练:Epoch[025/200] Iteration[200/800] Loss: 5.6769 Acc: 1.0000
训练:Epoch[025/200] Iteration[400/800] Loss: 5.6765 Acc: 1.0000
训练:Epoch[025/200] Iteration[600/800] Loss: 5.6747 Acc: 0.9999
训练:Epoch[025/200] Iteration[800/800] Loss: 5.6788 Acc: 0.9999
训练:Epoch[026/200] Iteration[200/800] Loss: 5.6821 Acc: 1.0000
训练:Epoch[026/200] Iteration[400/800] Loss: 5.6834 Acc: 1.0000
训练:Epoch[026/200] Iteration[600/800] Loss: 5.8723 Acc: 0.9960
训练:Epoch[026/200] Iteration[800/800] Loss: 5.9224 Acc: 0.9942
训练:Epoch[027/200] Iteration[200/800] Loss: 5.8814 Acc: 0.9962
训练:Epoch[027/200] Iteration[400/800] Loss: 5.8481 Acc: 0.9970
训练:Epoch[027/200] Iteration[600/800] Loss: 5.8340 Acc: 0.9976
训练:Epoch[027/200] Iteration[800/800] Loss: 5.8194 Acc: 0.9981
训练:Epoch[028/200] Iteration[200/800] Loss: 5.7725 Acc: 0.9991
训练:Epoch[028/200] Iteration[400/800] Loss: 5.7664 Acc: 0.9981
训练:Epoch[028/200] Iteration[600/800] Loss: 5.7756 Acc: 0.9980
训练:Epoch[028/200] Iteration[800/800] Loss: 5.7731 Acc: 0.9984
训练:Epoch[029/200] Iteration[200/800] Loss: 5.7245 Acc: 1.0000
训练:Epoch[029/200] Iteration[400/800] Loss: 5.7288 Acc: 0.9997
训练:Epoch[029/200] Iteration[600/800] Loss: 5.7390 Acc: 0.9995
训练:Epoch[029/200] Iteration[800/800] Loss: 5.7415 Acc: 0.9994
测试:	Epoch[029/200] Iteration[200/200] Loss: 74.5639 Acc: 0.9788
训练:Epoch[030/200] Iteration[200/800] Loss: 5.8050 Acc: 0.9991
训练:Epoch[030/200] Iteration[400/800] Loss: 5.8439 Acc: 0.9973
训练:Epoch[030/200] Iteration[600/800] Loss: 5.8221 Acc: 0.9979
训练:Epoch[030/200] Iteration[800/800] Loss: 5.8043 Acc: 0.9982
训练:Epoch[031/200] Iteration[200/800] Loss: 5.7240 Acc: 0.9997
训练:Epoch[031/200] Iteration[400/800] Loss: 5.7429 Acc: 0.9994
训练:Epoch[031/200] Iteration[600/800] Loss: 5.7475 Acc: 0.9992
训练:Epoch[031/200] Iteration[800/800] Loss: 5.7387 Acc: 0.9994
训练:Epoch[032/200] Iteration[200/800] Loss: 5.7097 Acc: 0.9997
训练:Epoch[032/200] Iteration[400/800] Loss: 5.7030 Acc: 0.9995
训练:Epoch[032/200] Iteration[600/800] Loss: 5.7054 Acc: 0.9996
训练:Epoch[032/200] Iteration[800/800] Loss: 5.6982 Acc: 0.9997
训练:Epoch[033/200] Iteration[200/800] Loss: 5.6654 Acc: 1.0000
训练:Epoch[033/200] Iteration[400/800] Loss: 5.7203 Acc: 0.9991
训练:Epoch[033/200] Iteration[600/800] Loss: 5.8036 Acc: 0.9974
训练:Epoch[033/200] Iteration[800/800] Loss: 5.7941 Acc: 0.9976
训练:Epoch[034/200] Iteration[200/800] Loss: 5.7557 Acc: 0.9997
训练:Epoch[034/200] Iteration[400/800] Loss: 5.7472 Acc: 0.9992
训练:Epoch[034/200] Iteration[600/800] Loss: 5.7740 Acc: 0.9984
训练:Epoch[034/200] Iteration[800/800] Loss: 5.7633 Acc: 0.9986
训练:Epoch[035/200] Iteration[200/800] Loss: 5.7073 Acc: 0.9988
训练:Epoch[035/200] Iteration[400/800] Loss: 5.7053 Acc: 0.9992
训练:Epoch[035/200] Iteration[600/800] Loss: 5.6993 Acc: 0.9994
训练:Epoch[035/200] Iteration[800/800] Loss: 5.6949 Acc: 0.9995
训练:Epoch[036/200] Iteration[200/800] Loss: 5.6698 Acc: 1.0000
训练:Epoch[036/200] Iteration[400/800] Loss: 5.6654 Acc: 1.0000
训练:Epoch[036/200] Iteration[600/800] Loss: 5.6657 Acc: 1.0000
训练:Epoch[036/200] Iteration[800/800] Loss: 5.6820 Acc: 1.0000
训练:Epoch[037/200] Iteration[200/800] Loss: 5.7336 Acc: 0.9994
训练:Epoch[037/200] Iteration[400/800] Loss: 5.7381 Acc: 0.9994
训练:Epoch[037/200] Iteration[600/800] Loss: 5.7601 Acc: 0.9989
训练:Epoch[037/200] Iteration[800/800] Loss: 5.7454 Acc: 0.9991
训练:Epoch[038/200] Iteration[200/800] Loss: 5.6770 Acc: 1.0000
训练:Epoch[038/200] Iteration[400/800] Loss: 5.6731 Acc: 1.0000
训练:Epoch[038/200] Iteration[600/800] Loss: 5.6686 Acc: 1.0000
训练:Epoch[038/200] Iteration[800/800] Loss: 5.6672 Acc: 0.9999
训练:Epoch[039/200] Iteration[200/800] Loss: 5.6553 Acc: 1.0000
训练:Epoch[039/200] Iteration[400/800] Loss: 5.6524 Acc: 0.9998
训练:Epoch[039/200] Iteration[600/800] Loss: 5.6490 Acc: 0.9999
训练:Epoch[039/200] Iteration[800/800] Loss: 5.6464 Acc: 0.9998
测试:	Epoch[039/200] Iteration[200/200] Loss: 71.5412 Acc: 0.9828
训练:Epoch[040/200] Iteration[200/800] Loss: 5.6326 Acc: 1.0000
训练:Epoch[040/200] Iteration[400/800] Loss: 5.6315 Acc: 1.0000
训练:Epoch[040/200] Iteration[600/800] Loss: 5.6298 Acc: 1.0000
训练:Epoch[040/200] Iteration[800/800] Loss: 5.6290 Acc: 0.9999
训练:Epoch[041/200] Iteration[200/800] Loss: 5.6239 Acc: 1.0000
训练:Epoch[041/200] Iteration[400/800] Loss: 5.6238 Acc: 0.9998
训练:Epoch[041/200] Iteration[600/800] Loss: 5.6234 Acc: 0.9999
训练:Epoch[041/200] Iteration[800/800] Loss: 5.6249 Acc: 0.9998
训练:Epoch[042/200] Iteration[200/800] Loss: 6.0084 Acc: 0.9928
训练:Epoch[042/200] Iteration[400/800] Loss: 5.8929 Acc: 0.9956
训练:Epoch[042/200] Iteration[600/800] Loss: 5.8344 Acc: 0.9969
训练:Epoch[042/200] Iteration[800/800] Loss: 5.8016 Acc: 0.9975
训练:Epoch[043/200] Iteration[200/800] Loss: 5.7151 Acc: 1.0000
训练:Epoch[043/200] Iteration[400/800] Loss: 5.7127 Acc: 0.9998
训练:Epoch[043/200] Iteration[600/800] Loss: 5.7004 Acc: 0.9998
训练:Epoch[043/200] Iteration[800/800] Loss: 5.6928 Acc: 0.9996
训练:Epoch[044/200] Iteration[200/800] Loss: 5.6844 Acc: 0.9984
训练:Epoch[044/200] Iteration[400/800] Loss: 5.6729 Acc: 0.9991
训练:Epoch[044/200] Iteration[600/800] Loss: 5.6628 Acc: 0.9994
训练:Epoch[044/200] Iteration[800/800] Loss: 5.6562 Acc: 0.9995
训练:Epoch[045/200] Iteration[200/800] Loss: 5.6309 Acc: 1.0000
训练:Epoch[045/200] Iteration[400/800] Loss: 5.6300 Acc: 1.0000
训练:Epoch[045/200] Iteration[600/800] Loss: 5.6286 Acc: 1.0000
训练:Epoch[045/200] Iteration[800/800] Loss: 5.6318 Acc: 1.0000
训练:Epoch[046/200] Iteration[200/800] Loss: 5.6223 Acc: 1.0000
训练:Epoch[046/200] Iteration[400/800] Loss: 5.6209 Acc: 1.0000
训练:Epoch[046/200] Iteration[600/800] Loss: 5.6193 Acc: 1.0000
训练:Epoch[046/200] Iteration[800/800] Loss: 5.6180 Acc: 1.0000
训练:Epoch[047/200] Iteration[200/800] Loss: 5.6131 Acc: 1.0000
训练:Epoch[047/200] Iteration[400/800] Loss: 5.6136 Acc: 1.0000
训练:Epoch[047/200] Iteration[600/800] Loss: 5.6138 Acc: 1.0000
训练:Epoch[047/200] Iteration[800/800] Loss: 5.6131 Acc: 1.0000
训练:Epoch[048/200] Iteration[200/800] Loss: 5.6114 Acc: 1.0000
训练:Epoch[048/200] Iteration[400/800] Loss: 5.6094 Acc: 1.0000
训练:Epoch[048/200] Iteration[600/800] Loss: 5.6089 Acc: 1.0000
训练:Epoch[048/200] Iteration[800/800] Loss: 5.6082 Acc: 1.0000
训练:Epoch[049/200] Iteration[200/800] Loss: 5.6061 Acc: 1.0000
训练:Epoch[049/200] Iteration[400/800] Loss: 5.6059 Acc: 1.0000
训练:Epoch[049/200] Iteration[600/800] Loss: 5.6069 Acc: 1.0000
训练:Epoch[049/200] Iteration[800/800] Loss: 5.6066 Acc: 1.0000
测试:	Epoch[049/200] Iteration[200/200] Loss: 70.8069 Acc: 0.9866
训练:Epoch[050/200] Iteration[200/800] Loss: 5.6076 Acc: 1.0000
训练:Epoch[050/200] Iteration[400/800] Loss: 5.6056 Acc: 1.0000
训练:Epoch[050/200] Iteration[600/800] Loss: 5.6047 Acc: 1.0000
训练:Epoch[050/200] Iteration[800/800] Loss: 5.6038 Acc: 1.0000
训练:Epoch[051/200] Iteration[200/800] Loss: 5.5998 Acc: 1.0000
训练:Epoch[051/200] Iteration[400/800] Loss: 5.5973 Acc: 1.0000
训练:Epoch[051/200] Iteration[600/800] Loss: 5.5968 Acc: 1.0000
训练:Epoch[051/200] Iteration[800/800] Loss: 5.5963 Acc: 1.0000
训练:Epoch[052/200] Iteration[200/800] Loss: 5.5967 Acc: 1.0000
训练:Epoch[052/200] Iteration[400/800] Loss: 5.5957 Acc: 1.0000
训练:Epoch[052/200] Iteration[600/800] Loss: 5.5954 Acc: 1.0000
训练:Epoch[052/200] Iteration[800/800] Loss: 5.5951 Acc: 1.0000
训练:Epoch[053/200] Iteration[200/800] Loss: 5.5945 Acc: 1.0000
训练:Epoch[053/200] Iteration[400/800] Loss: 5.5927 Acc: 1.0000
训练:Epoch[053/200] Iteration[600/800] Loss: 5.5919 Acc: 1.0000
训练:Epoch[053/200] Iteration[800/800] Loss: 5.6467 Acc: 0.9994
训练:Epoch[054/200] Iteration[200/800] Loss: 5.8738 Acc: 0.9953
训练:Epoch[054/200] Iteration[400/800] Loss: 5.8021 Acc: 0.9969
训练:Epoch[054/200] Iteration[600/800] Loss: 5.7645 Acc: 0.9977
训练:Epoch[054/200] Iteration[800/800] Loss: 5.7440 Acc: 0.9982
训练:Epoch[055/200] Iteration[200/800] Loss: 5.6463 Acc: 1.0000
训练:Epoch[055/200] Iteration[400/800] Loss: 5.6401 Acc: 1.0000
训练:Epoch[055/200] Iteration[600/800] Loss: 5.6353 Acc: 1.0000
训练:Epoch[055/200] Iteration[800/800] Loss: 5.6320 Acc: 1.0000
训练:Epoch[056/200] Iteration[200/800] Loss: 5.6131 Acc: 1.0000
训练:Epoch[056/200] Iteration[400/800] Loss: 5.6107 Acc: 1.0000
训练:Epoch[056/200] Iteration[600/800] Loss: 5.6084 Acc: 1.0000
训练:Epoch[056/200] Iteration[800/800] Loss: 5.6062 Acc: 1.0000
训练:Epoch[057/200] Iteration[200/800] Loss: 5.5975 Acc: 1.0000
训练:Epoch[057/200] Iteration[400/800] Loss: 5.5969 Acc: 1.0000
训练:Epoch[057/200] Iteration[600/800] Loss: 5.5957 Acc: 1.0000
训练:Epoch[057/200] Iteration[800/800] Loss: 5.5948 Acc: 1.0000
训练:Epoch[058/200] Iteration[200/800] Loss: 5.5910 Acc: 1.0000
训练:Epoch[058/200] Iteration[400/800] Loss: 5.5902 Acc: 1.0000
训练:Epoch[058/200] Iteration[600/800] Loss: 5.5900 Acc: 1.0000
训练:Epoch[058/200] Iteration[800/800] Loss: 5.5896 Acc: 1.0000
训练:Epoch[059/200] Iteration[200/800] Loss: 5.5876 Acc: 1.0000
训练:Epoch[059/200] Iteration[400/800] Loss: 5.5866 Acc: 1.0000
训练:Epoch[059/200] Iteration[600/800] Loss: 5.5869 Acc: 1.0000
训练:Epoch[059/200] Iteration[800/800] Loss: 5.5871 Acc: 1.0000
测试:	Epoch[059/200] Iteration[200/200] Loss: 69.6087 Acc: 0.9844
训练:Epoch[060/200] Iteration[200/800] Loss: 5.5867 Acc: 1.0000
训练:Epoch[060/200] Iteration[400/800] Loss: 5.5864 Acc: 1.0000
训练:Epoch[060/200] Iteration[600/800] Loss: 5.5865 Acc: 1.0000
训练:Epoch[060/200] Iteration[800/800] Loss: 5.5863 Acc: 1.0000
训练:Epoch[061/200] Iteration[200/800] Loss: 5.5848 Acc: 1.0000
训练:Epoch[061/200] Iteration[400/800] Loss: 5.5855 Acc: 1.0000
训练:Epoch[061/200] Iteration[600/800] Loss: 5.5852 Acc: 1.0000
训练:Epoch[061/200] Iteration[800/800] Loss: 5.5847 Acc: 1.0000
训练:Epoch[062/200] Iteration[200/800] Loss: 5.5835 Acc: 1.0000
训练:Epoch[062/200] Iteration[400/800] Loss: 5.5832 Acc: 1.0000
训练:Epoch[062/200] Iteration[600/800] Loss: 5.5836 Acc: 1.0000
训练:Epoch[062/200] Iteration[800/800] Loss: 5.5835 Acc: 1.0000
训练:Epoch[063/200] Iteration[200/800] Loss: 5.5834 Acc: 1.0000
训练:Epoch[063/200] Iteration[400/800] Loss: 5.5831 Acc: 1.0000
训练:Epoch[063/200] Iteration[600/800] Loss: 5.5837 Acc: 1.0000
训练:Epoch[063/200] Iteration[800/800] Loss: 5.6671 Acc: 0.9992
训练:Epoch[064/200] Iteration[200/800] Loss: 5.7613 Acc: 0.9975
训练:Epoch[064/200] Iteration[400/800] Loss: 5.7314 Acc: 0.9988
训练:Epoch[064/200] Iteration[600/800] Loss: 5.7038 Acc: 0.9992
训练:Epoch[064/200] Iteration[800/800] Loss: 5.7030 Acc: 0.9989
训练:Epoch[065/200] Iteration[200/800] Loss: 5.6388 Acc: 0.9997
训练:Epoch[065/200] Iteration[400/800] Loss: 5.6621 Acc: 0.9994
训练:Epoch[065/200] Iteration[600/800] Loss: 5.6482 Acc: 0.9996
训练:Epoch[065/200] Iteration[800/800] Loss: 5.6396 Acc: 0.9997
训练:Epoch[066/200] Iteration[200/800] Loss: 5.6038 Acc: 1.0000
训练:Epoch[066/200] Iteration[400/800] Loss: 5.6024 Acc: 1.0000
训练:Epoch[066/200] Iteration[600/800] Loss: 5.6004 Acc: 1.0000
训练:Epoch[066/200] Iteration[800/800] Loss: 5.5986 Acc: 1.0000
训练:Epoch[067/200] Iteration[200/800] Loss: 5.5903 Acc: 1.0000
训练:Epoch[067/200] Iteration[400/800] Loss: 5.5903 Acc: 1.0000
训练:Epoch[067/200] Iteration[600/800] Loss: 5.5894 Acc: 1.0000
训练:Epoch[067/200] Iteration[800/800] Loss: 5.5887 Acc: 1.0000
训练:Epoch[068/200] Iteration[200/800] Loss: 5.5851 Acc: 1.0000
训练:Epoch[068/200] Iteration[400/800] Loss: 5.5845 Acc: 1.0000
训练:Epoch[068/200] Iteration[600/800] Loss: 5.5844 Acc: 1.0000
训练:Epoch[068/200] Iteration[800/800] Loss: 5.5841 Acc: 1.0000
训练:Epoch[069/200] Iteration[200/800] Loss: 5.5832 Acc: 1.0000
训练:Epoch[069/200] Iteration[400/800] Loss: 5.5827 Acc: 1.0000
训练:Epoch[069/200] Iteration[600/800] Loss: 5.5822 Acc: 1.0000
训练:Epoch[069/200] Iteration[800/800] Loss: 5.5821 Acc: 1.0000
测试:	Epoch[069/200] Iteration[200/200] Loss: 69.3057 Acc: 0.9850
训练:Epoch[070/200] Iteration[200/800] Loss: 5.5797 Acc: 1.0000
训练:Epoch[070/200] Iteration[400/800] Loss: 5.5796 Acc: 1.0000
训练:Epoch[070/200] Iteration[600/800] Loss: 5.5796 Acc: 1.0000
训练:Epoch[070/200] Iteration[800/800] Loss: 5.5801 Acc: 1.0000
训练:Epoch[071/200] Iteration[200/800] Loss: 5.5788 Acc: 1.0000
训练:Epoch[071/200] Iteration[400/800] Loss: 5.5799 Acc: 1.0000
训练:Epoch[071/200] Iteration[600/800] Loss: 5.5800 Acc: 1.0000
训练:Epoch[071/200] Iteration[800/800] Loss: 5.5798 Acc: 1.0000
训练:Epoch[072/200] Iteration[200/800] Loss: 5.5790 Acc: 1.0000
训练:Epoch[072/200] Iteration[400/800] Loss: 5.5794 Acc: 1.0000
训练:Epoch[072/200] Iteration[600/800] Loss: 5.5799 Acc: 1.0000
训练:Epoch[072/200] Iteration[800/800] Loss: 5.5799 Acc: 1.0000
训练:Epoch[073/200] Iteration[200/800] Loss: 5.5797 Acc: 1.0000
训练:Epoch[073/200] Iteration[400/800] Loss: 5.5798 Acc: 1.0000
训练:Epoch[073/200] Iteration[600/800] Loss: 5.5797 Acc: 1.0000
训练:Epoch[073/200] Iteration[800/800] Loss: 5.5800 Acc: 1.0000
训练:Epoch[074/200] Iteration[200/800] Loss: 5.5821 Acc: 1.0000
训练:Epoch[074/200] Iteration[400/800] Loss: 5.5814 Acc: 1.0000
训练:Epoch[074/200] Iteration[600/800] Loss: 5.5802 Acc: 1.0000
训练:Epoch[074/200] Iteration[800/800] Loss: 5.5796 Acc: 1.0000
训练:Epoch[075/200] Iteration[200/800] Loss: 5.5780 Acc: 1.0000
训练:Epoch[075/200] Iteration[400/800] Loss: 5.5780 Acc: 1.0000
训练:Epoch[075/200] Iteration[600/800] Loss: 5.5781 Acc: 1.0000
训练:Epoch[075/200] Iteration[800/800] Loss: 5.5778 Acc: 1.0000
训练:Epoch[076/200] Iteration[200/800] Loss: 5.5777 Acc: 1.0000
训练:Epoch[076/200] Iteration[400/800] Loss: 5.5779 Acc: 1.0000
训练:Epoch[076/200] Iteration[600/800] Loss: 5.5781 Acc: 1.0000
训练:Epoch[076/200] Iteration[800/800] Loss: 5.5779 Acc: 1.0000
训练:Epoch[077/200] Iteration[200/800] Loss: 5.5771 Acc: 1.0000
训练:Epoch[077/200] Iteration[400/800] Loss: 5.5780 Acc: 1.0000
训练:Epoch[077/200] Iteration[600/800] Loss: 5.5777 Acc: 1.0000
训练:Epoch[077/200] Iteration[800/800] Loss: 5.5775 Acc: 1.0000
训练:Epoch[078/200] Iteration[200/800] Loss: 5.5774 Acc: 1.0000
训练:Epoch[078/200] Iteration[400/800] Loss: 5.5766 Acc: 1.0000
训练:Epoch[078/200] Iteration[600/800] Loss: 5.5768 Acc: 1.0000
训练:Epoch[078/200] Iteration[800/800] Loss: 5.5773 Acc: 1.0000
训练:Epoch[079/200] Iteration[200/800] Loss: 5.5764 Acc: 1.0000
训练:Epoch[079/200] Iteration[400/800] Loss: 5.5760 Acc: 1.0000
训练:Epoch[079/200] Iteration[600/800] Loss: 5.5770 Acc: 1.0000
训练:Epoch[079/200] Iteration[800/800] Loss: 5.5767 Acc: 1.0000
测试:	Epoch[079/200] Iteration[200/200] Loss: 69.2733 Acc: 0.9900
训练:Epoch[080/200] Iteration[200/800] Loss: 5.5767 Acc: 1.0000
训练:Epoch[080/200] Iteration[400/800] Loss: 5.5765 Acc: 1.0000
训练:Epoch[080/200] Iteration[600/800] Loss: 5.5763 Acc: 1.0000
训练:Epoch[080/200] Iteration[800/800] Loss: 5.6479 Acc: 0.9991
训练:Epoch[081/200] Iteration[200/800] Loss: 5.7147 Acc: 0.9994
训练:Epoch[081/200] Iteration[400/800] Loss: 5.6934 Acc: 0.9989
训练:Epoch[081/200] Iteration[600/800] Loss: 5.6924 Acc: 0.9990
训练:Epoch[081/200] Iteration[800/800] Loss: 5.6749 Acc: 0.9992
训练:Epoch[082/200] Iteration[200/800] Loss: 5.6161 Acc: 0.9997
训练:Epoch[082/200] Iteration[400/800] Loss: 5.6077 Acc: 0.9998
训练:Epoch[082/200] Iteration[600/800] Loss: 5.6033 Acc: 0.9999
训练:Epoch[082/200] Iteration[800/800] Loss: 5.6009 Acc: 0.9999
训练:Epoch[083/200] Iteration[200/800] Loss: 5.5936 Acc: 0.9997
训练:Epoch[083/200] Iteration[400/800] Loss: 5.5893 Acc: 0.9998
训练:Epoch[083/200] Iteration[600/800] Loss: 5.6001 Acc: 0.9995
训练:Epoch[083/200] Iteration[800/800] Loss: 5.6416 Acc: 0.9987
训练:Epoch[084/200] Iteration[200/800] Loss: 5.6351 Acc: 0.9994
训练:Epoch[084/200] Iteration[400/800] Loss: 5.6187 Acc: 0.9997
训练:Epoch[084/200] Iteration[600/800] Loss: 5.6136 Acc: 0.9998
训练:Epoch[084/200] Iteration[800/800] Loss: 5.6079 Acc: 0.9998
训练:Epoch[085/200] Iteration[200/800] Loss: 5.5861 Acc: 1.0000
训练:Epoch[085/200] Iteration[400/800] Loss: 5.5851 Acc: 1.0000
训练:Epoch[085/200] Iteration[600/800] Loss: 5.5844 Acc: 1.0000
训练:Epoch[085/200] Iteration[800/800] Loss: 5.5833 Acc: 1.0000
训练:Epoch[086/200] Iteration[200/800] Loss: 5.5781 Acc: 1.0000
训练:Epoch[086/200] Iteration[400/800] Loss: 5.5788 Acc: 1.0000
训练:Epoch[086/200] Iteration[600/800] Loss: 5.5788 Acc: 1.0000
训练:Epoch[086/200] Iteration[800/800] Loss: 5.5782 Acc: 1.0000
训练:Epoch[087/200] Iteration[200/800] Loss: 5.5781 Acc: 1.0000
训练:Epoch[087/200] Iteration[400/800] Loss: 5.5771 Acc: 1.0000
训练:Epoch[087/200] Iteration[600/800] Loss: 5.5766 Acc: 1.0000
训练:Epoch[087/200] Iteration[800/800] Loss: 5.5766 Acc: 1.0000
训练:Epoch[088/200] Iteration[200/800] Loss: 5.5751 Acc: 1.0000
训练:Epoch[088/200] Iteration[400/800] Loss: 5.5750 Acc: 1.0000
训练:Epoch[088/200] Iteration[600/800] Loss: 5.5754 Acc: 1.0000
训练:Epoch[088/200] Iteration[800/800] Loss: 5.5752 Acc: 1.0000
训练:Epoch[089/200] Iteration[200/800] Loss: 5.5737 Acc: 1.0000
训练:Epoch[089/200] Iteration[400/800] Loss: 5.5749 Acc: 1.0000
训练:Epoch[089/200] Iteration[600/800] Loss: 5.5746 Acc: 1.0000
训练:Epoch[089/200] Iteration[800/800] Loss: 5.5744 Acc: 1.0000
测试:	Epoch[089/200] Iteration[200/200] Loss: 69.0913 Acc: 0.9800
训练:Epoch[090/200] Iteration[200/800] Loss: 5.5740 Acc: 1.0000
训练:Epoch[090/200] Iteration[400/800] Loss: 5.5746 Acc: 1.0000
训练:Epoch[090/200] Iteration[600/800] Loss: 5.5749 Acc: 1.0000
训练:Epoch[090/200] Iteration[800/800] Loss: 5.5748 Acc: 1.0000
训练:Epoch[091/200] Iteration[200/800] Loss: 5.5767 Acc: 1.0000
训练:Epoch[091/200] Iteration[400/800] Loss: 5.5759 Acc: 1.0000
训练:Epoch[091/200] Iteration[600/800] Loss: 5.5753 Acc: 1.0000
训练:Epoch[091/200] Iteration[800/800] Loss: 5.5749 Acc: 1.0000
训练:Epoch[092/200] Iteration[200/800] Loss: 5.5756 Acc: 1.0000
训练:Epoch[092/200] Iteration[400/800] Loss: 5.5758 Acc: 1.0000
训练:Epoch[092/200] Iteration[600/800] Loss: 5.5749 Acc: 1.0000
训练:Epoch[092/200] Iteration[800/800] Loss: 5.5751 Acc: 1.0000
训练:Epoch[093/200] Iteration[200/800] Loss: 5.5746 Acc: 1.0000
训练:Epoch[093/200] Iteration[400/800] Loss: 5.5745 Acc: 1.0000
训练:Epoch[093/200] Iteration[600/800] Loss: 5.5742 Acc: 1.0000
训练:Epoch[093/200] Iteration[800/800] Loss: 5.5744 Acc: 1.0000
训练:Epoch[094/200] Iteration[200/800] Loss: 5.5740 Acc: 1.0000
训练:Epoch[094/200] Iteration[400/800] Loss: 5.5742 Acc: 1.0000
训练:Epoch[094/200] Iteration[600/800] Loss: 5.5744 Acc: 1.0000
训练:Epoch[094/200] Iteration[800/800] Loss: 5.5738 Acc: 1.0000
训练:Epoch[095/200] Iteration[200/800] Loss: 5.5743 Acc: 1.0000
训练:Epoch[095/200] Iteration[400/800] Loss: 5.5743 Acc: 1.0000
训练:Epoch[095/200] Iteration[600/800] Loss: 5.5749 Acc: 1.0000
训练:Epoch[095/200] Iteration[800/800] Loss: 5.5746 Acc: 1.0000
训练:Epoch[096/200] Iteration[200/800] Loss: 5.5746 Acc: 1.0000
训练:Epoch[096/200] Iteration[400/800] Loss: 5.5751 Acc: 1.0000
训练:Epoch[096/200] Iteration[600/800] Loss: 5.5743 Acc: 1.0000
训练:Epoch[096/200] Iteration[800/800] Loss: 5.5739 Acc: 1.0000
训练:Epoch[097/200] Iteration[200/800] Loss: 5.5740 Acc: 1.0000
训练:Epoch[097/200] Iteration[400/800] Loss: 5.5732 Acc: 1.0000
训练:Epoch[097/200] Iteration[600/800] Loss: 5.5733 Acc: 1.0000
训练:Epoch[097/200] Iteration[800/800] Loss: 5.5732 Acc: 1.0000
训练:Epoch[098/200] Iteration[200/800] Loss: 5.8290 Acc: 0.9962
训练:Epoch[098/200] Iteration[400/800] Loss: 5.7417 Acc: 0.9980
训练:Epoch[098/200] Iteration[600/800] Loss: 5.7139 Acc: 0.9984
训练:Epoch[098/200] Iteration[800/800] Loss: 5.6902 Acc: 0.9988
训练:Epoch[099/200] Iteration[200/800] Loss: 5.6096 Acc: 1.0000
训练:Epoch[099/200] Iteration[400/800] Loss: 5.6026 Acc: 1.0000
训练:Epoch[099/200] Iteration[600/800] Loss: 5.5980 Acc: 1.0000
训练:Epoch[099/200] Iteration[800/800] Loss: 5.6070 Acc: 0.9999
测试:	Epoch[099/200] Iteration[200/200] Loss: 69.6819 Acc: 0.9850
训练:Epoch[100/200] Iteration[200/800] Loss: 5.5867 Acc: 1.0000
训练:Epoch[100/200] Iteration[400/800] Loss: 5.5868 Acc: 1.0000
训练:Epoch[100/200] Iteration[600/800] Loss: 5.5855 Acc: 1.0000
训练:Epoch[100/200] Iteration[800/800] Loss: 5.5843 Acc: 1.0000
训练:Epoch[101/200] Iteration[200/800] Loss: 5.5787 Acc: 1.0000
训练:Epoch[101/200] Iteration[400/800] Loss: 5.5779 Acc: 1.0000
训练:Epoch[101/200] Iteration[600/800] Loss: 5.5777 Acc: 1.0000
训练:Epoch[101/200] Iteration[800/800] Loss: 5.5771 Acc: 1.0000
训练:Epoch[102/200] Iteration[200/800] Loss: 5.5742 Acc: 1.0000
训练:Epoch[102/200] Iteration[400/800] Loss: 5.5737 Acc: 1.0000
训练:Epoch[102/200] Iteration[600/800] Loss: 5.5742 Acc: 1.0000
训练:Epoch[102/200] Iteration[800/800] Loss: 5.5743 Acc: 1.0000
训练:Epoch[103/200] Iteration[200/800] Loss: 5.5743 Acc: 1.0000
训练:Epoch[103/200] Iteration[400/800] Loss: 5.5739 Acc: 1.0000
训练:Epoch[103/200] Iteration[600/800] Loss: 5.5728 Acc: 1.0000
训练:Epoch[103/200] Iteration[800/800] Loss: 5.5731 Acc: 1.0000
训练:Epoch[104/200] Iteration[200/800] Loss: 5.5739 Acc: 1.0000
训练:Epoch[104/200] Iteration[400/800] Loss: 5.5721 Acc: 1.0000
训练:Epoch[104/200] Iteration[600/800] Loss: 5.5726 Acc: 1.0000
训练:Epoch[104/200] Iteration[800/800] Loss: 5.5727 Acc: 1.0000
训练:Epoch[105/200] Iteration[200/800] Loss: 5.5725 Acc: 1.0000
训练:Epoch[105/200] Iteration[400/800] Loss: 5.5727 Acc: 1.0000
训练:Epoch[105/200] Iteration[600/800] Loss: 5.5727 Acc: 1.0000
训练:Epoch[105/200] Iteration[800/800] Loss: 5.5726 Acc: 1.0000
训练:Epoch[106/200] Iteration[200/800] Loss: 5.5723 Acc: 1.0000
训练:Epoch[106/200] Iteration[400/800] Loss: 5.5725 Acc: 1.0000
训练:Epoch[106/200] Iteration[600/800] Loss: 5.5728 Acc: 1.0000
训练:Epoch[106/200] Iteration[800/800] Loss: 5.5725 Acc: 1.0000
训练:Epoch[107/200] Iteration[200/800] Loss: 5.5712 Acc: 1.0000
训练:Epoch[107/200] Iteration[400/800] Loss: 5.5726 Acc: 1.0000
训练:Epoch[107/200] Iteration[600/800] Loss: 5.5731 Acc: 1.0000
训练:Epoch[107/200] Iteration[800/800] Loss: 5.5732 Acc: 1.0000
训练:Epoch[108/200] Iteration[200/800] Loss: 5.5735 Acc: 1.0000
训练:Epoch[108/200] Iteration[400/800] Loss: 5.5736 Acc: 1.0000
训练:Epoch[108/200] Iteration[600/800] Loss: 5.5732 Acc: 1.0000
训练:Epoch[108/200] Iteration[800/800] Loss: 5.5732 Acc: 1.0000
训练:Epoch[109/200] Iteration[200/800] Loss: 5.5706 Acc: 1.0000
训练:Epoch[109/200] Iteration[400/800] Loss: 5.5724 Acc: 1.0000
训练:Epoch[109/200] Iteration[600/800] Loss: 5.5727 Acc: 1.0000
训练:Epoch[109/200] Iteration[800/800] Loss: 5.5726 Acc: 1.0000
测试:	Epoch[109/200] Iteration[200/200] Loss: 68.9062 Acc: 0.9834
训练:Epoch[110/200] Iteration[200/800] Loss: 5.5746 Acc: 1.0000
训练:Epoch[110/200] Iteration[400/800] Loss: 5.5731 Acc: 1.0000
训练:Epoch[110/200] Iteration[600/800] Loss: 5.5728 Acc: 1.0000
训练:Epoch[110/200] Iteration[800/800] Loss: 5.5724 Acc: 1.0000
训练:Epoch[111/200] Iteration[200/800] Loss: 5.5718 Acc: 1.0000
训练:Epoch[111/200] Iteration[400/800] Loss: 5.5718 Acc: 1.0000
训练:Epoch[111/200] Iteration[600/800] Loss: 5.5726 Acc: 1.0000
训练:Epoch[111/200] Iteration[800/800] Loss: 5.5725 Acc: 1.0000
训练:Epoch[112/200] Iteration[200/800] Loss: 5.5722 Acc: 1.0000
训练:Epoch[112/200] Iteration[400/800] Loss: 5.5729 Acc: 1.0000
训练:Epoch[112/200] Iteration[600/800] Loss: 5.5727 Acc: 1.0000
训练:Epoch[112/200] Iteration[800/800] Loss: 5.5725 Acc: 1.0000
训练:Epoch[113/200] Iteration[200/800] Loss: 5.5731 Acc: 1.0000
训练:Epoch[113/200] Iteration[400/800] Loss: 5.5729 Acc: 1.0000
训练:Epoch[113/200] Iteration[600/800] Loss: 5.5724 Acc: 1.0000
训练:Epoch[113/200] Iteration[800/800] Loss: 5.5721 Acc: 1.0000
训练:Epoch[114/200] Iteration[200/800] Loss: 5.5723 Acc: 1.0000
训练:Epoch[114/200] Iteration[400/800] Loss: 5.5718 Acc: 1.0000
训练:Epoch[114/200] Iteration[600/800] Loss: 5.5719 Acc: 1.0000
训练:Epoch[114/200] Iteration[800/800] Loss: 5.5722 Acc: 1.0000
训练:Epoch[115/200] Iteration[200/800] Loss: 5.5715 Acc: 1.0000
训练:Epoch[115/200] Iteration[400/800] Loss: 5.5722 Acc: 1.0000
训练:Epoch[115/200] Iteration[600/800] Loss: 5.5723 Acc: 1.0000
训练:Epoch[115/200] Iteration[800/800] Loss: 5.5720 Acc: 1.0000
训练:Epoch[116/200] Iteration[200/800] Loss: 5.5707 Acc: 1.0000
训练:Epoch[116/200] Iteration[400/800] Loss: 5.5712 Acc: 1.0000
训练:Epoch[116/200] Iteration[600/800] Loss: 5.5718 Acc: 1.0000
训练:Epoch[116/200] Iteration[800/800] Loss: 5.5720 Acc: 1.0000
训练:Epoch[117/200] Iteration[200/800] Loss: 5.5716 Acc: 1.0000
训练:Epoch[117/200] Iteration[400/800] Loss: 5.5712 Acc: 1.0000
训练:Epoch[117/200] Iteration[600/800] Loss: 5.5714 Acc: 1.0000
训练:Epoch[117/200] Iteration[800/800] Loss: 5.5712 Acc: 1.0000
训练:Epoch[118/200] Iteration[200/800] Loss: 5.5721 Acc: 1.0000
训练:Epoch[118/200] Iteration[400/800] Loss: 5.5718 Acc: 1.0000
训练:Epoch[118/200] Iteration[600/800] Loss: 5.5718 Acc: 1.0000
训练:Epoch[118/200] Iteration[800/800] Loss: 5.5718 Acc: 1.0000
训练:Epoch[119/200] Iteration[200/800] Loss: 5.5728 Acc: 1.0000
训练:Epoch[119/200] Iteration[400/800] Loss: 5.5717 Acc: 1.0000
训练:Epoch[119/200] Iteration[600/800] Loss: 5.5713 Acc: 1.0000
训练:Epoch[119/200] Iteration[800/800] Loss: 5.5717 Acc: 1.0000
测试:	Epoch[119/200] Iteration[200/200] Loss: 69.0509 Acc: 0.9878
训练:Epoch[120/200] Iteration[200/800] Loss: 5.7851 Acc: 0.9966
训练:Epoch[120/200] Iteration[400/800] Loss: 5.7194 Acc: 0.9977
训练:Epoch[120/200] Iteration[600/800] Loss: 5.6851 Acc: 0.9984
训练:Epoch[120/200] Iteration[800/800] Loss: 5.6629 Acc: 0.9988
训练:Epoch[121/200] Iteration[200/800] Loss: 5.5880 Acc: 1.0000
训练:Epoch[121/200] Iteration[400/800] Loss: 5.5865 Acc: 1.0000
训练:Epoch[121/200] Iteration[600/800] Loss: 5.5844 Acc: 1.0000
训练:Epoch[121/200] Iteration[800/800] Loss: 5.5829 Acc: 1.0000
训练:Epoch[122/200] Iteration[200/800] Loss: 5.5762 Acc: 1.0000
训练:Epoch[122/200] Iteration[400/800] Loss: 5.5755 Acc: 1.0000
训练:Epoch[122/200] Iteration[600/800] Loss: 5.5754 Acc: 1.0000
训练:Epoch[122/200] Iteration[800/800] Loss: 5.5752 Acc: 1.0000
训练:Epoch[123/200] Iteration[200/800] Loss: 5.5734 Acc: 1.0000
训练:Epoch[123/200] Iteration[400/800] Loss: 5.5735 Acc: 1.0000
训练:Epoch[123/200] Iteration[600/800] Loss: 5.5723 Acc: 1.0000
训练:Epoch[123/200] Iteration[800/800] Loss: 5.5723 Acc: 1.0000
训练:Epoch[124/200] Iteration[200/800] Loss: 5.5707 Acc: 1.0000
训练:Epoch[124/200] Iteration[400/800] Loss: 5.5712 Acc: 1.0000
训练:Epoch[124/200] Iteration[600/800] Loss: 5.5714 Acc: 1.0000
训练:Epoch[124/200] Iteration[800/800] Loss: 5.5710 Acc: 1.0000
训练:Epoch[125/200] Iteration[200/800] Loss: 5.5716 Acc: 1.0000
训练:Epoch[125/200] Iteration[400/800] Loss: 5.5716 Acc: 1.0000
训练:Epoch[125/200] Iteration[600/800] Loss: 5.5716 Acc: 1.0000
训练:Epoch[125/200] Iteration[800/800] Loss: 5.5711 Acc: 1.0000
训练:Epoch[126/200] Iteration[200/800] Loss: 5.5699 Acc: 1.0000
训练:Epoch[126/200] Iteration[400/800] Loss: 5.5697 Acc: 1.0000
训练:Epoch[126/200] Iteration[600/800] Loss: 5.5705 Acc: 1.0000
训练:Epoch[126/200] Iteration[800/800] Loss: 5.5704 Acc: 1.0000
训练:Epoch[127/200] Iteration[200/800] Loss: 5.5715 Acc: 1.0000
训练:Epoch[127/200] Iteration[400/800] Loss: 5.5719 Acc: 1.0000
训练:Epoch[127/200] Iteration[600/800] Loss: 5.5710 Acc: 1.0000
训练:Epoch[127/200] Iteration[800/800] Loss: 5.5707 Acc: 1.0000
训练:Epoch[128/200] Iteration[200/800] Loss: 5.5717 Acc: 1.0000
训练:Epoch[128/200] Iteration[400/800] Loss: 5.5715 Acc: 1.0000
训练:Epoch[128/200] Iteration[600/800] Loss: 5.5711 Acc: 1.0000
训练:Epoch[128/200] Iteration[800/800] Loss: 5.5711 Acc: 1.0000
训练:Epoch[129/200] Iteration[200/800] Loss: 5.5707 Acc: 1.0000
训练:Epoch[129/200] Iteration[400/800] Loss: 5.5707 Acc: 1.0000
训练:Epoch[129/200] Iteration[600/800] Loss: 5.5709 Acc: 1.0000
训练:Epoch[129/200] Iteration[800/800] Loss: 5.5709 Acc: 1.0000
测试:	Epoch[129/200] Iteration[200/200] Loss: 68.9716 Acc: 0.9831
训练:Epoch[130/200] Iteration[200/800] Loss: 5.5706 Acc: 1.0000
训练:Epoch[130/200] Iteration[400/800] Loss: 5.5707 Acc: 1.0000
训练:Epoch[130/200] Iteration[600/800] Loss: 5.5708 Acc: 1.0000
训练:Epoch[130/200] Iteration[800/800] Loss: 5.5708 Acc: 1.0000
训练:Epoch[131/200] Iteration[200/800] Loss: 5.5701 Acc: 1.0000
训练:Epoch[131/200] Iteration[400/800] Loss: 5.5716 Acc: 1.0000
训练:Epoch[131/200] Iteration[600/800] Loss: 5.5709 Acc: 1.0000
训练:Epoch[131/200] Iteration[800/800] Loss: 5.5710 Acc: 1.0000
训练:Epoch[132/200] Iteration[200/800] Loss: 5.5722 Acc: 1.0000
训练:Epoch[132/200] Iteration[400/800] Loss: 5.5715 Acc: 1.0000
训练:Epoch[132/200] Iteration[600/800] Loss: 5.5711 Acc: 1.0000
训练:Epoch[132/200] Iteration[800/800] Loss: 5.5708 Acc: 1.0000
训练:Epoch[133/200] Iteration[200/800] Loss: 5.5712 Acc: 1.0000
训练:Epoch[133/200] Iteration[400/800] Loss: 5.5707 Acc: 1.0000
训练:Epoch[133/200] Iteration[600/800] Loss: 5.5708 Acc: 1.0000
训练:Epoch[133/200] Iteration[800/800] Loss: 5.5712 Acc: 1.0000
训练:Epoch[134/200] Iteration[200/800] Loss: 5.5706 Acc: 1.0000
训练:Epoch[134/200] Iteration[400/800] Loss: 5.5711 Acc: 1.0000
训练:Epoch[134/200] Iteration[600/800] Loss: 5.5709 Acc: 1.0000
训练:Epoch[134/200] Iteration[800/800] Loss: 5.5708 Acc: 1.0000
训练:Epoch[135/200] Iteration[200/800] Loss: 5.5729 Acc: 1.0000
训练:Epoch[135/200] Iteration[400/800] Loss: 5.5713 Acc: 1.0000
训练:Epoch[135/200] Iteration[600/800] Loss: 5.5705 Acc: 1.0000
训练:Epoch[135/200] Iteration[800/800] Loss: 5.5707 Acc: 1.0000
训练:Epoch[136/200] Iteration[200/800] Loss: 5.5698 Acc: 1.0000
训练:Epoch[136/200] Iteration[400/800] Loss: 5.5708 Acc: 1.0000
训练:Epoch[136/200] Iteration[600/800] Loss: 5.5709 Acc: 1.0000
训练:Epoch[136/200] Iteration[800/800] Loss: 5.5710 Acc: 1.0000
训练:Epoch[137/200] Iteration[200/800] Loss: 5.5713 Acc: 1.0000
训练:Epoch[137/200] Iteration[400/800] Loss: 5.5710 Acc: 1.0000
训练:Epoch[137/200] Iteration[600/800] Loss: 5.5709 Acc: 1.0000
训练:Epoch[137/200] Iteration[800/800] Loss: 5.5710 Acc: 1.0000
训练:Epoch[138/200] Iteration[200/800] Loss: 5.5711 Acc: 1.0000
训练:Epoch[138/200] Iteration[400/800] Loss: 5.5707 Acc: 1.0000
训练:Epoch[138/200] Iteration[600/800] Loss: 5.5710 Acc: 1.0000
训练:Epoch[138/200] Iteration[800/800] Loss: 5.5707 Acc: 1.0000
训练:Epoch[139/200] Iteration[200/800] Loss: 5.5704 Acc: 1.0000
训练:Epoch[139/200] Iteration[400/800] Loss: 5.5710 Acc: 1.0000
训练:Epoch[139/200] Iteration[600/800] Loss: 5.5703 Acc: 1.0000
训练:Epoch[139/200] Iteration[800/800] Loss: 5.5706 Acc: 1.0000
测试:	Epoch[139/200] Iteration[200/200] Loss: 69.1973 Acc: 0.9900
训练:Epoch[140/200] Iteration[200/800] Loss: 5.5706 Acc: 1.0000
训练:Epoch[140/200] Iteration[400/800] Loss: 5.5709 Acc: 1.0000
训练:Epoch[140/200] Iteration[600/800] Loss: 5.5709 Acc: 1.0000
训练:Epoch[140/200] Iteration[800/800] Loss: 5.5707 Acc: 1.0000
训练:Epoch[141/200] Iteration[200/800] Loss: 5.5694 Acc: 1.0000
训练:Epoch[141/200] Iteration[400/800] Loss: 5.5700 Acc: 1.0000
训练:Epoch[141/200] Iteration[600/800] Loss: 5.5702 Acc: 1.0000
训练:Epoch[141/200] Iteration[800/800] Loss: 5.5703 Acc: 1.0000
训练:Epoch[142/200] Iteration[200/800] Loss: 5.5698 Acc: 1.0000
训练:Epoch[142/200] Iteration[400/800] Loss: 5.5694 Acc: 1.0000
训练:Epoch[142/200] Iteration[600/800] Loss: 5.5701 Acc: 1.0000
训练:Epoch[142/200] Iteration[800/800] Loss: 5.5709 Acc: 0.9999
训练:Epoch[143/200] Iteration[200/800] Loss: 5.7562 Acc: 0.9975
训练:Epoch[143/200] Iteration[400/800] Loss: 5.7059 Acc: 0.9980
训练:Epoch[143/200] Iteration[600/800] Loss: 5.6688 Acc: 0.9986
训练:Epoch[143/200] Iteration[800/800] Loss: 5.6483 Acc: 0.9990
训练:Epoch[144/200] Iteration[200/800] Loss: 5.5810 Acc: 1.0000
训练:Epoch[144/200] Iteration[400/800] Loss: 5.5794 Acc: 1.0000
训练:Epoch[144/200] Iteration[600/800] Loss: 5.5787 Acc: 1.0000
训练:Epoch[144/200] Iteration[800/800] Loss: 5.5777 Acc: 1.0000
训练:Epoch[145/200] Iteration[200/800] Loss: 5.5736 Acc: 1.0000
训练:Epoch[145/200] Iteration[400/800] Loss: 5.5733 Acc: 1.0000
训练:Epoch[145/200] Iteration[600/800] Loss: 5.5728 Acc: 1.0000
训练:Epoch[145/200] Iteration[800/800] Loss: 5.5724 Acc: 1.0000
训练:Epoch[146/200] Iteration[200/800] Loss: 5.5710 Acc: 1.0000
训练:Epoch[146/200] Iteration[400/800] Loss: 5.5711 Acc: 1.0000
训练:Epoch[146/200] Iteration[600/800] Loss: 5.5708 Acc: 1.0000
训练:Epoch[146/200] Iteration[800/800] Loss: 5.5708 Acc: 1.0000
训练:Epoch[147/200] Iteration[200/800] Loss: 5.5689 Acc: 1.0000
训练:Epoch[147/200] Iteration[400/800] Loss: 5.5696 Acc: 1.0000
训练:Epoch[147/200] Iteration[600/800] Loss: 5.5700 Acc: 1.0000
训练:Epoch[147/200] Iteration[800/800] Loss: 5.5701 Acc: 1.0000
训练:Epoch[148/200] Iteration[200/800] Loss: 5.5703 Acc: 1.0000
训练:Epoch[148/200] Iteration[400/800] Loss: 5.5693 Acc: 1.0000
训练:Epoch[148/200] Iteration[600/800] Loss: 5.5700 Acc: 1.0000
训练:Epoch[148/200] Iteration[800/800] Loss: 5.5699 Acc: 1.0000
训练:Epoch[149/200] Iteration[200/800] Loss: 5.5707 Acc: 1.0000
训练:Epoch[149/200] Iteration[400/800] Loss: 5.5702 Acc: 1.0000
训练:Epoch[149/200] Iteration[600/800] Loss: 5.5703 Acc: 1.0000
训练:Epoch[149/200] Iteration[800/800] Loss: 5.5698 Acc: 1.0000
测试:	Epoch[149/200] Iteration[200/200] Loss: 69.0837 Acc: 0.9841
训练:Epoch[150/200] Iteration[200/800] Loss: 5.5698 Acc: 1.0000
训练:Epoch[150/200] Iteration[400/800] Loss: 5.5703 Acc: 1.0000
训练:Epoch[150/200] Iteration[600/800] Loss: 5.5702 Acc: 1.0000
训练:Epoch[150/200] Iteration[800/800] Loss: 5.5700 Acc: 1.0000
训练:Epoch[151/200] Iteration[200/800] Loss: 5.5693 Acc: 1.0000
训练:Epoch[151/200] Iteration[400/800] Loss: 5.5697 Acc: 1.0000
训练:Epoch[151/200] Iteration[600/800] Loss: 5.5700 Acc: 1.0000
训练:Epoch[151/200] Iteration[800/800] Loss: 5.5704 Acc: 1.0000
训练:Epoch[152/200] Iteration[200/800] Loss: 5.5707 Acc: 1.0000
训练:Epoch[152/200] Iteration[400/800] Loss: 5.5697 Acc: 1.0000
训练:Epoch[152/200] Iteration[600/800] Loss: 5.5699 Acc: 1.0000
训练:Epoch[152/200] Iteration[800/800] Loss: 5.5704 Acc: 1.0000
训练:Epoch[153/200] Iteration[200/800] Loss: 5.5692 Acc: 1.0000
训练:Epoch[153/200] Iteration[400/800] Loss: 5.5691 Acc: 1.0000
训练:Epoch[153/200] Iteration[600/800] Loss: 5.5695 Acc: 1.0000
训练:Epoch[153/200] Iteration[800/800] Loss: 5.5701 Acc: 1.0000
训练:Epoch[154/200] Iteration[200/800] Loss: 5.5708 Acc: 1.0000
训练:Epoch[154/200] Iteration[400/800] Loss: 5.5703 Acc: 1.0000
训练:Epoch[154/200] Iteration[600/800] Loss: 5.5698 Acc: 1.0000
训练:Epoch[154/200] Iteration[800/800] Loss: 5.5703 Acc: 1.0000
训练:Epoch[155/200] Iteration[200/800] Loss: 5.5693 Acc: 1.0000
训练:Epoch[155/200] Iteration[400/800] Loss: 5.5703 Acc: 1.0000
训练:Epoch[155/200] Iteration[600/800] Loss: 5.5703 Acc: 1.0000
训练:Epoch[155/200] Iteration[800/800] Loss: 5.5701 Acc: 1.0000
训练:Epoch[156/200] Iteration[200/800] Loss: 5.5714 Acc: 1.0000
训练:Epoch[156/200] Iteration[400/800] Loss: 5.5703 Acc: 1.0000
训练:Epoch[156/200] Iteration[600/800] Loss: 5.5703 Acc: 1.0000
训练:Epoch[156/200] Iteration[800/800] Loss: 5.5706 Acc: 1.0000
训练:Epoch[157/200] Iteration[200/800] Loss: 5.5709 Acc: 1.0000
训练:Epoch[157/200] Iteration[400/800] Loss: 5.5700 Acc: 1.0000
训练:Epoch[157/200] Iteration[600/800] Loss: 5.5695 Acc: 1.0000
训练:Epoch[157/200] Iteration[800/800] Loss: 5.5698 Acc: 1.0000
训练:Epoch[158/200] Iteration[200/800] Loss: 5.5719 Acc: 1.0000
训练:Epoch[158/200] Iteration[400/800] Loss: 5.5706 Acc: 1.0000
训练:Epoch[158/200] Iteration[600/800] Loss: 5.5708 Acc: 1.0000
训练:Epoch[158/200] Iteration[800/800] Loss: 5.5708 Acc: 1.0000
训练:Epoch[159/200] Iteration[200/800] Loss: 5.5694 Acc: 1.0000
训练:Epoch[159/200] Iteration[400/800] Loss: 5.5700 Acc: 1.0000
训练:Epoch[159/200] Iteration[600/800] Loss: 5.5700 Acc: 1.0000
训练:Epoch[159/200] Iteration[800/800] Loss: 5.5697 Acc: 1.0000
测试:	Epoch[159/200] Iteration[200/200] Loss: 69.0026 Acc: 0.9875
训练:Epoch[160/200] Iteration[200/800] Loss: 5.5716 Acc: 1.0000
训练:Epoch[160/200] Iteration[400/800] Loss: 5.5704 Acc: 1.0000
训练:Epoch[160/200] Iteration[600/800] Loss: 5.5699 Acc: 1.0000
训练:Epoch[160/200] Iteration[800/800] Loss: 5.5701 Acc: 1.0000
训练:Epoch[161/200] Iteration[200/800] Loss: 5.5701 Acc: 1.0000
训练:Epoch[161/200] Iteration[400/800] Loss: 5.5701 Acc: 1.0000
训练:Epoch[161/200] Iteration[600/800] Loss: 5.5700 Acc: 1.0000
训练:Epoch[161/200] Iteration[800/800] Loss: 5.5698 Acc: 1.0000
训练:Epoch[162/200] Iteration[200/800] Loss: 5.5716 Acc: 1.0000
训练:Epoch[162/200] Iteration[400/800] Loss: 5.5705 Acc: 1.0000
训练:Epoch[162/200] Iteration[600/800] Loss: 5.5702 Acc: 1.0000
训练:Epoch[162/200] Iteration[800/800] Loss: 5.5703 Acc: 1.0000
训练:Epoch[163/200] Iteration[200/800] Loss: 5.5681 Acc: 1.0000
训练:Epoch[163/200] Iteration[400/800] Loss: 5.5686 Acc: 1.0000
训练:Epoch[163/200] Iteration[600/800] Loss: 5.5694 Acc: 1.0000
训练:Epoch[163/200] Iteration[800/800] Loss: 5.5698 Acc: 1.0000
训练:Epoch[164/200] Iteration[200/800] Loss: 5.5700 Acc: 1.0000
训练:Epoch[164/200] Iteration[400/800] Loss: 5.5700 Acc: 1.0000
训练:Epoch[164/200] Iteration[600/800] Loss: 5.5699 Acc: 1.0000
训练:Epoch[164/200] Iteration[800/800] Loss: 5.5701 Acc: 1.0000
训练:Epoch[165/200] Iteration[200/800] Loss: 5.5709 Acc: 1.0000
训练:Epoch[165/200] Iteration[400/800] Loss: 5.5700 Acc: 1.0000
训练:Epoch[165/200] Iteration[600/800] Loss: 5.5698 Acc: 1.0000
训练:Epoch[165/200] Iteration[800/800] Loss: 5.5697 Acc: 1.0000
训练:Epoch[166/200] Iteration[200/800] Loss: 5.5702 Acc: 1.0000
训练:Epoch[166/200] Iteration[400/800] Loss: 5.5697 Acc: 1.0000
训练:Epoch[166/200] Iteration[600/800] Loss: 5.5697 Acc: 1.0000
训练:Epoch[166/200] Iteration[800/800] Loss: 5.5699 Acc: 1.0000
训练:Epoch[167/200] Iteration[200/800] Loss: 5.5697 Acc: 1.0000
训练:Epoch[167/200] Iteration[400/800] Loss: 5.5698 Acc: 1.0000
训练:Epoch[167/200] Iteration[600/800] Loss: 5.5699 Acc: 1.0000
训练:Epoch[167/200] Iteration[800/800] Loss: 5.5698 Acc: 1.0000
训练:Epoch[168/200] Iteration[200/800] Loss: 5.5692 Acc: 1.0000
训练:Epoch[168/200] Iteration[400/800] Loss: 5.5699 Acc: 1.0000
训练:Epoch[168/200] Iteration[600/800] Loss: 5.5871 Acc: 0.9998
训练:Epoch[168/200] Iteration[800/800] Loss: 5.6069 Acc: 0.9998
训练:Epoch[169/200] Iteration[200/800] Loss: 5.5996 Acc: 0.9997
训练:Epoch[169/200] Iteration[400/800] Loss: 5.6033 Acc: 0.9994
训练:Epoch[169/200] Iteration[600/800] Loss: 5.5967 Acc: 0.9996
训练:Epoch[169/200] Iteration[800/800] Loss: 5.5935 Acc: 0.9996
测试:	Epoch[169/200] Iteration[200/200] Loss: 69.2056 Acc: 0.9775
训练:Epoch[170/200] Iteration[200/800] Loss: 5.6236 Acc: 0.9994
训练:Epoch[170/200] Iteration[400/800] Loss: 5.6018 Acc: 0.9997
训练:Epoch[170/200] Iteration[600/800] Loss: 5.5930 Acc: 0.9998
训练:Epoch[170/200] Iteration[800/800] Loss: 5.5883 Acc: 0.9998
训练:Epoch[171/200] Iteration[200/800] Loss: 5.5733 Acc: 1.0000
训练:Epoch[171/200] Iteration[400/800] Loss: 5.5730 Acc: 1.0000
训练:Epoch[171/200] Iteration[600/800] Loss: 5.5720 Acc: 1.0000
训练:Epoch[171/200] Iteration[800/800] Loss: 5.5716 Acc: 1.0000
训练:Epoch[172/200] Iteration[200/800] Loss: 5.5699 Acc: 1.0000
训练:Epoch[172/200] Iteration[400/800] Loss: 5.5702 Acc: 1.0000
训练:Epoch[172/200] Iteration[600/800] Loss: 5.5703 Acc: 1.0000
训练:Epoch[172/200] Iteration[800/800] Loss: 5.5702 Acc: 1.0000
训练:Epoch[173/200] Iteration[200/800] Loss: 5.5705 Acc: 1.0000
训练:Epoch[173/200] Iteration[400/800] Loss: 5.5696 Acc: 1.0000
训练:Epoch[173/200] Iteration[600/800] Loss: 5.5696 Acc: 1.0000
训练:Epoch[173/200] Iteration[800/800] Loss: 5.5696 Acc: 1.0000
训练:Epoch[174/200] Iteration[200/800] Loss: 5.5703 Acc: 1.0000
训练:Epoch[174/200] Iteration[400/800] Loss: 5.5702 Acc: 1.0000
训练:Epoch[174/200] Iteration[600/800] Loss: 5.5699 Acc: 1.0000
训练:Epoch[174/200] Iteration[800/800] Loss: 5.5697 Acc: 1.0000
训练:Epoch[175/200] Iteration[200/800] Loss: 5.5692 Acc: 1.0000
训练:Epoch[175/200] Iteration[400/800] Loss: 5.5679 Acc: 1.0000
训练:Epoch[175/200] Iteration[600/800] Loss: 5.5686 Acc: 1.0000
训练:Epoch[175/200] Iteration[800/800] Loss: 5.5691 Acc: 1.0000
训练:Epoch[176/200] Iteration[200/800] Loss: 5.5687 Acc: 1.0000
训练:Epoch[176/200] Iteration[400/800] Loss: 5.5683 Acc: 1.0000
训练:Epoch[176/200] Iteration[600/800] Loss: 5.5688 Acc: 1.0000
训练:Epoch[176/200] Iteration[800/800] Loss: 5.5691 Acc: 1.0000
训练:Epoch[177/200] Iteration[200/800] Loss: 5.5692 Acc: 1.0000
训练:Epoch[177/200] Iteration[400/800] Loss: 5.5701 Acc: 1.0000
训练:Epoch[177/200] Iteration[600/800] Loss: 5.5697 Acc: 1.0000
训练:Epoch[177/200] Iteration[800/800] Loss: 5.5695 Acc: 1.0000
训练:Epoch[178/200] Iteration[200/800] Loss: 5.5683 Acc: 1.0000
训练:Epoch[178/200] Iteration[400/800] Loss: 5.5685 Acc: 1.0000
训练:Epoch[178/200] Iteration[600/800] Loss: 5.5691 Acc: 1.0000
训练:Epoch[178/200] Iteration[800/800] Loss: 5.5695 Acc: 1.0000
训练:Epoch[179/200] Iteration[200/800] Loss: 5.5686 Acc: 1.0000
训练:Epoch[179/200] Iteration[400/800] Loss: 5.5697 Acc: 1.0000
训练:Epoch[179/200] Iteration[600/800] Loss: 5.5699 Acc: 1.0000
训练:Epoch[179/200] Iteration[800/800] Loss: 5.5696 Acc: 1.0000
测试:	Epoch[179/200] Iteration[200/200] Loss: 69.1231 Acc: 0.9847
训练:Epoch[180/200] Iteration[200/800] Loss: 5.5693 Acc: 1.0000
训练:Epoch[180/200] Iteration[400/800] Loss: 5.5697 Acc: 1.0000
训练:Epoch[180/200] Iteration[600/800] Loss: 5.5694 Acc: 1.0000
训练:Epoch[180/200] Iteration[800/800] Loss: 5.5697 Acc: 1.0000
训练:Epoch[181/200] Iteration[200/800] Loss: 5.5689 Acc: 1.0000
