{"env_info": "sys.platform: linux\nPython: 3.8.12 (default, Oct 12 2021, 13:49:34) [GCC 7.5.0]\nCUDA available: True\nGPU 0,1,2,3,4,5,6,7: Tesla PG503-216\nCUDA_HOME: /mnt/lustre/share/cuda-11.1\nNVCC: Build cuda_11.1.TC455_06.29069683_0\nGCC: gcc (GCC) 7.3.0\nPyTorch: 1.8.0\nPyTorch compiling details: PyTorch built with:\n  - GCC 7.3\n  - C++ Version: 201402\n  - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications\n  - Intel(R) MKL-DNN v1.7.0 (Git Hash 7aed236906b1f7a05c0917e5257a1af05e9ff683)\n  - OpenMP 201511 (a.k.a. OpenMP 4.5)\n  - NNPACK is enabled\n  - CPU capability usage: AVX2\n  - CUDA Runtime 11.1\n  - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37\n  - CuDNN 8.0.5\n  - Magma 2.5.2\n  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.8.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, \n\nTorchVision: 0.9.0\nOpenCV: 4.5.4-dev\nMMCV: 1.4.5\nMMCV Compiler: GCC 7.3\nMMCV CUDA Compiler: 11.1\nMMClassification: 0.20.1+d25b666", "seed": null, "hook_msgs": {}}
{"mode": "train", "epoch": 1, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 2.78376, "loss": 5.29444, "time": 3.50366}
{"mode": "train", "epoch": 1, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.0066, "loss": 5.30681, "time": 0.62819}
{"mode": "train", "epoch": 1, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00456, "loss": 5.29794, "time": 0.65661}
{"mode": "train", "epoch": 1, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00598, "loss": 5.29553, "time": 0.64648}
{"mode": "val", "epoch": 1, "iter": 91, "lr": 0.0, "accuracy_top-1": 0.58681, "accuracy_top-5": 3.14118}
{"mode": "train", "epoch": 2, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.18581, "loss": 5.28097, "time": 0.81919}
{"mode": "train", "epoch": 2, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01264, "loss": 5.27721, "time": 0.65378}
{"mode": "train", "epoch": 2, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.0078, "loss": 5.27408, "time": 0.64308}
{"mode": "train", "epoch": 2, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00394, "loss": 5.26981, "time": 0.63965}
{"mode": "val", "epoch": 2, "iter": 91, "lr": 0.0, "accuracy_top-1": 1.3117, "accuracy_top-5": 5.16051}
{"mode": "train", "epoch": 3, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.18401, "loss": 5.24518, "time": 0.81766}
{"mode": "train", "epoch": 3, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00581, "loss": 5.24189, "time": 0.64836}
{"mode": "train", "epoch": 3, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00548, "loss": 5.2212, "time": 0.6511}
{"mode": "train", "epoch": 3, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.0059, "loss": 5.20348, "time": 0.63873}
{"mode": "val", "epoch": 3, "iter": 91, "lr": 0.0, "accuracy_top-1": 3.52088, "accuracy_top-5": 12.7028}
{"mode": "train", "epoch": 4, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.17523, "loss": 5.16393, "time": 0.82332}
{"mode": "train", "epoch": 4, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00709, "loss": 5.12613, "time": 0.65061}
{"mode": "train", "epoch": 4, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00517, "loss": 5.08006, "time": 0.65399}
{"mode": "train", "epoch": 4, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00751, "loss": 5.01055, "time": 0.64451}
{"mode": "val", "epoch": 4, "iter": 91, "lr": 0.0, "accuracy_top-1": 14.75665, "accuracy_top-5": 38.00483}
{"mode": "train", "epoch": 5, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10622, "loss": 4.7617, "time": 0.74188}
{"mode": "train", "epoch": 5, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00665, "loss": 4.56362, "time": 0.63367}
{"mode": "train", "epoch": 5, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00375, "loss": 4.38688, "time": 0.65583}
{"mode": "train", "epoch": 5, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.0068, "loss": 4.25184, "time": 0.66464}
{"mode": "val", "epoch": 5, "iter": 91, "lr": 0.0, "accuracy_top-1": 55.5057, "accuracy_top-5": 85.29514}
{"mode": "train", "epoch": 6, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10577, "loss": 3.83237, "time": 0.74355}
{"mode": "train", "epoch": 6, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.02768, "loss": 3.64653, "time": 0.65707}
{"mode": "train", "epoch": 6, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00376, "loss": 3.45052, "time": 0.65637}
{"mode": "train", "epoch": 6, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00586, "loss": 3.31468, "time": 0.6476}
{"mode": "val", "epoch": 6, "iter": 91, "lr": 0.0, "accuracy_top-1": 73.11012, "accuracy_top-5": 95.49535}
{"mode": "train", "epoch": 7, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.1967, "loss": 2.93806, "time": 0.82902}
{"mode": "train", "epoch": 7, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00342, "loss": 2.75296, "time": 0.63189}
{"mode": "train", "epoch": 7, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00816, "loss": 2.66068, "time": 0.65786}
{"mode": "train", "epoch": 7, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00652, "loss": 2.54536, "time": 0.63894}
{"mode": "val", "epoch": 7, "iter": 91, "lr": 0.0, "accuracy_top-1": 79.56507, "accuracy_top-5": 97.10046}
{"mode": "train", "epoch": 8, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.17442, "loss": 2.27411, "time": 0.81019}
{"mode": "train", "epoch": 8, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00549, "loss": 2.15847, "time": 0.64515}
{"mode": "train", "epoch": 8, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00632, "loss": 2.06284, "time": 0.66149}
{"mode": "train", "epoch": 8, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00591, "loss": 1.94083, "time": 0.6359}
{"mode": "val", "epoch": 8, "iter": 91, "lr": 0.0, "accuracy_top-1": 83.67277, "accuracy_top-5": 97.82534}
{"mode": "train", "epoch": 9, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.16585, "loss": 1.75759, "time": 0.79835}
{"mode": "train", "epoch": 9, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00957, "loss": 1.65162, "time": 0.65276}
{"mode": "train", "epoch": 9, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00392, "loss": 1.6178, "time": 0.65279}
{"mode": "train", "epoch": 9, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00606, "loss": 1.56304, "time": 0.63654}
{"mode": "val", "epoch": 9, "iter": 91, "lr": 0.0, "accuracy_top-1": 86.65862, "accuracy_top-5": 98.3086}
{"mode": "train", "epoch": 10, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.17269, "loss": 1.40525, "time": 0.81329}
{"mode": "train", "epoch": 10, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01374, "loss": 1.38878, "time": 0.65033}
{"mode": "train", "epoch": 10, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00342, "loss": 1.26287, "time": 0.64117}
{"mode": "train", "epoch": 10, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00725, "loss": 1.32164, "time": 0.65502}
{"mode": "val", "epoch": 10, "iter": 91, "lr": 0.0, "accuracy_top-1": 88.57439, "accuracy_top-5": 98.56749}
{"mode": "train", "epoch": 11, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10541, "loss": 1.17655, "time": 0.74713}
{"mode": "train", "epoch": 11, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00656, "loss": 1.13001, "time": 0.64312}
{"mode": "train", "epoch": 11, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.0036, "loss": 1.12545, "time": 0.64366}
{"mode": "train", "epoch": 11, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00523, "loss": 1.07904, "time": 0.65473}
{"mode": "val", "epoch": 11, "iter": 91, "lr": 0.0, "accuracy_top-1": 89.26476, "accuracy_top-5": 98.65379}
{"mode": "train", "epoch": 12, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.18212, "loss": 1.03747, "time": 0.81537}
{"mode": "train", "epoch": 12, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01414, "loss": 0.98959, "time": 0.6605}
{"mode": "train", "epoch": 12, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00612, "loss": 0.98556, "time": 0.6556}
{"mode": "train", "epoch": 12, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00409, "loss": 0.93605, "time": 0.63715}
{"mode": "val", "epoch": 12, "iter": 91, "lr": 0.0, "accuracy_top-1": 89.81705, "accuracy_top-5": 98.67104}
{"mode": "train", "epoch": 13, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11386, "loss": 0.8854, "time": 0.74945}
{"mode": "train", "epoch": 13, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.04073, "loss": 0.84146, "time": 0.68915}
{"mode": "train", "epoch": 13, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00435, "loss": 0.86795, "time": 0.66179}
{"mode": "train", "epoch": 13, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00576, "loss": 0.83857, "time": 0.64524}
{"mode": "val", "epoch": 13, "iter": 91, "lr": 0.0, "accuracy_top-1": 90.33483, "accuracy_top-5": 98.70556}
{"mode": "train", "epoch": 14, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.18879, "loss": 0.76268, "time": 0.81876}
{"mode": "train", "epoch": 14, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00796, "loss": 0.78326, "time": 0.64238}
{"mode": "train", "epoch": 14, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00403, "loss": 0.79767, "time": 0.63895}
{"mode": "train", "epoch": 14, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00814, "loss": 0.7648, "time": 0.65633}
{"mode": "val", "epoch": 14, "iter": 91, "lr": 0.0, "accuracy_top-1": 90.86987, "accuracy_top-5": 98.65379}
{"mode": "train", "epoch": 15, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.20745, "loss": 0.70426, "time": 0.8536}
{"mode": "train", "epoch": 15, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00609, "loss": 0.72459, "time": 0.63605}
{"mode": "train", "epoch": 15, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00556, "loss": 0.69195, "time": 0.66188}
{"mode": "train", "epoch": 15, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00568, "loss": 0.70988, "time": 0.64851}
{"mode": "val", "epoch": 15, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.19779, "accuracy_top-5": 98.75734}
{"mode": "train", "epoch": 16, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.17893, "loss": 0.68607, "time": 0.81906}
{"mode": "train", "epoch": 16, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00538, "loss": 0.66054, "time": 0.67392}
{"mode": "train", "epoch": 16, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00611, "loss": 0.64561, "time": 0.64359}
{"mode": "train", "epoch": 16, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00401, "loss": 0.62818, "time": 0.63722}
{"mode": "val", "epoch": 16, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.07698, "accuracy_top-5": 98.7746}
{"mode": "train", "epoch": 17, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10842, "loss": 0.64237, "time": 0.74005}
{"mode": "train", "epoch": 17, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.02193, "loss": 0.59344, "time": 0.6726}
{"mode": "train", "epoch": 17, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00555, "loss": 0.56951, "time": 0.65208}
{"mode": "train", "epoch": 17, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00354, "loss": 0.59303, "time": 0.63561}
{"mode": "val", "epoch": 17, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.14602, "accuracy_top-5": 98.80912}
{"mode": "train", "epoch": 18, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11206, "loss": 0.56299, "time": 0.74477}
{"mode": "train", "epoch": 18, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01129, "loss": 0.57272, "time": 0.6514}
{"mode": "train", "epoch": 18, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00665, "loss": 0.52227, "time": 0.63786}
{"mode": "train", "epoch": 18, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00371, "loss": 0.52534, "time": 0.6322}
{"mode": "val", "epoch": 18, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.28409, "accuracy_top-5": 98.79185}
{"mode": "train", "epoch": 19, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.18352, "loss": 0.53422, "time": 0.81367}
{"mode": "train", "epoch": 19, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01176, "loss": 0.5261, "time": 0.65102}
{"mode": "train", "epoch": 19, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00713, "loss": 0.51988, "time": 0.63815}
{"mode": "train", "epoch": 19, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00462, "loss": 0.52672, "time": 0.6389}
{"mode": "val", "epoch": 19, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.37038, "accuracy_top-5": 98.74008}
{"mode": "train", "epoch": 20, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10658, "loss": 0.50369, "time": 0.74936}
{"mode": "train", "epoch": 20, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.04221, "loss": 0.50578, "time": 0.67014}
{"mode": "train", "epoch": 20, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00389, "loss": 0.47001, "time": 0.64276}
{"mode": "train", "epoch": 20, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00765, "loss": 0.44167, "time": 0.65512}
{"mode": "val", "epoch": 20, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.26683, "accuracy_top-5": 98.7746}
{"mode": "train", "epoch": 21, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11029, "loss": 0.48666, "time": 0.75444}
{"mode": "train", "epoch": 21, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00685, "loss": 0.47538, "time": 0.64697}
{"mode": "train", "epoch": 21, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00376, "loss": 0.46537, "time": 0.63344}
{"mode": "train", "epoch": 21, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00697, "loss": 0.4053, "time": 0.64741}
{"mode": "val", "epoch": 21, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.54298, "accuracy_top-5": 98.79185}
{"mode": "train", "epoch": 22, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10519, "loss": 0.41927, "time": 0.74277}
{"mode": "train", "epoch": 22, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00628, "loss": 0.43954, "time": 0.6382}
{"mode": "train", "epoch": 22, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00341, "loss": 0.41936, "time": 0.64067}
{"mode": "train", "epoch": 22, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00645, "loss": 0.45304, "time": 0.64248}
{"mode": "val", "epoch": 22, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.6638, "accuracy_top-5": 98.82638}
{"mode": "train", "epoch": 23, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.18148, "loss": 0.41721, "time": 0.82404}
{"mode": "train", "epoch": 23, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00317, "loss": 0.40642, "time": 0.65436}
{"mode": "train", "epoch": 23, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00594, "loss": 0.40109, "time": 0.6422}
{"mode": "train", "epoch": 23, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.0034, "loss": 0.41354, "time": 0.63676}
{"mode": "val", "epoch": 23, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.5775, "accuracy_top-5": 98.80912}
{"mode": "train", "epoch": 24, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10786, "loss": 0.39258, "time": 0.74035}
{"mode": "train", "epoch": 24, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01136, "loss": 0.40163, "time": 0.65228}
{"mode": "train", "epoch": 24, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.0058, "loss": 0.36151, "time": 0.64895}
{"mode": "train", "epoch": 24, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00315, "loss": 0.43397, "time": 0.63933}
{"mode": "val", "epoch": 24, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.69831, "accuracy_top-5": 98.80912}
{"mode": "train", "epoch": 25, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11625, "loss": 0.35911, "time": 0.74845}
{"mode": "train", "epoch": 25, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00531, "loss": 0.34661, "time": 0.64291}
{"mode": "train", "epoch": 25, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00548, "loss": 0.37505, "time": 0.65926}
{"mode": "train", "epoch": 25, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00568, "loss": 0.38748, "time": 0.63225}
{"mode": "val", "epoch": 25, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.47395, "accuracy_top-5": 98.7746}
{"mode": "train", "epoch": 26, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11618, "loss": 0.32925, "time": 0.75282}
{"mode": "train", "epoch": 26, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01078, "loss": 0.36506, "time": 0.66502}
{"mode": "train", "epoch": 26, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.0087, "loss": 0.36282, "time": 0.64532}
{"mode": "train", "epoch": 26, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00279, "loss": 0.36187, "time": 0.63779}
{"mode": "val", "epoch": 26, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.81913, "accuracy_top-5": 98.75734}
{"mode": "train", "epoch": 27, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.17352, "loss": 0.33145, "time": 0.81474}
{"mode": "train", "epoch": 27, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00877, "loss": 0.32384, "time": 0.65536}
{"mode": "train", "epoch": 27, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00515, "loss": 0.31936, "time": 0.65263}
{"mode": "train", "epoch": 27, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00654, "loss": 0.35681, "time": 0.63942}
{"mode": "val", "epoch": 27, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.59476, "accuracy_top-5": 98.7746}
{"mode": "train", "epoch": 28, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11264, "loss": 0.31029, "time": 0.74798}
{"mode": "train", "epoch": 28, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01211, "loss": 0.33303, "time": 0.65562}
{"mode": "train", "epoch": 28, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00601, "loss": 0.32063, "time": 0.65592}
{"mode": "train", "epoch": 28, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00601, "loss": 0.32948, "time": 0.6412}
{"mode": "val", "epoch": 28, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.80187, "accuracy_top-5": 98.75734}
{"mode": "train", "epoch": 29, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10753, "loss": 0.29528, "time": 0.74086}
{"mode": "train", "epoch": 29, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01188, "loss": 0.30185, "time": 0.66157}
{"mode": "train", "epoch": 29, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00764, "loss": 0.33242, "time": 0.65154}
{"mode": "train", "epoch": 29, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00354, "loss": 0.3055, "time": 0.6361}
{"mode": "val", "epoch": 29, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.83639, "accuracy_top-5": 98.72282}
{"mode": "train", "epoch": 30, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.12592, "loss": 0.2901, "time": 0.76372}
{"mode": "train", "epoch": 30, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00876, "loss": 0.28883, "time": 0.65749}
{"mode": "train", "epoch": 30, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00318, "loss": 0.29542, "time": 0.63002}
{"mode": "train", "epoch": 30, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00886, "loss": 0.28495, "time": 0.64434}
{"mode": "val", "epoch": 30, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.5775, "accuracy_top-5": 98.6883}
{"mode": "train", "epoch": 31, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11161, "loss": 0.27995, "time": 0.74434}
{"mode": "train", "epoch": 31, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01477, "loss": 0.27487, "time": 0.64964}
{"mode": "train", "epoch": 31, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00842, "loss": 0.25586, "time": 0.65355}
{"mode": "train", "epoch": 31, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00598, "loss": 0.27496, "time": 0.63965}
{"mode": "val", "epoch": 31, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.8709, "accuracy_top-5": 98.70556}
{"mode": "train", "epoch": 32, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10592, "loss": 0.26869, "time": 0.74881}
{"mode": "train", "epoch": 32, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00595, "loss": 0.28226, "time": 0.63725}
{"mode": "train", "epoch": 32, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00337, "loss": 0.24444, "time": 0.65986}
{"mode": "train", "epoch": 32, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00557, "loss": 0.25872, "time": 0.64954}
{"mode": "val", "epoch": 32, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.59476, "accuracy_top-5": 98.70556}
{"mode": "train", "epoch": 33, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11046, "loss": 0.25701, "time": 0.74224}
{"mode": "train", "epoch": 33, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00637, "loss": 0.24931, "time": 0.65707}
{"mode": "train", "epoch": 33, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00335, "loss": 0.24035, "time": 0.65238}
{"mode": "train", "epoch": 33, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00633, "loss": 0.24149, "time": 0.66277}
{"mode": "val", "epoch": 33, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.80187, "accuracy_top-5": 98.7746}
{"mode": "train", "epoch": 34, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10849, "loss": 0.23761, "time": 0.73945}
{"mode": "train", "epoch": 34, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00624, "loss": 0.23133, "time": 0.64445}
{"mode": "train", "epoch": 34, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00412, "loss": 0.25772, "time": 0.6552}
{"mode": "train", "epoch": 34, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00698, "loss": 0.26257, "time": 0.65848}
{"mode": "val", "epoch": 34, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.4912, "accuracy_top-5": 98.74008}
{"mode": "train", "epoch": 35, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10955, "loss": 0.24199, "time": 0.76768}
{"mode": "train", "epoch": 35, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00592, "loss": 0.23235, "time": 0.63798}
{"mode": "train", "epoch": 35, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00339, "loss": 0.23108, "time": 0.64857}
{"mode": "train", "epoch": 35, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00606, "loss": 0.23702, "time": 0.6454}
{"mode": "val", "epoch": 35, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.56024, "accuracy_top-5": 98.6883}
{"mode": "train", "epoch": 36, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.1164, "loss": 0.2178, "time": 0.76757}
{"mode": "train", "epoch": 36, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00577, "loss": 0.2097, "time": 0.64635}
{"mode": "train", "epoch": 36, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00406, "loss": 0.22107, "time": 0.65975}
{"mode": "train", "epoch": 36, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.0056, "loss": 0.21972, "time": 0.65549}
{"mode": "val", "epoch": 36, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.59476, "accuracy_top-5": 98.72282}
{"mode": "train", "epoch": 37, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11892, "loss": 0.21376, "time": 0.76778}
{"mode": "train", "epoch": 37, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00745, "loss": 0.21835, "time": 0.64976}
{"mode": "train", "epoch": 37, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00301, "loss": 0.21048, "time": 0.63582}
{"mode": "train", "epoch": 37, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.01191, "loss": 0.20764, "time": 0.64677}
{"mode": "val", "epoch": 37, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.59476, "accuracy_top-5": 98.72282}
{"mode": "train", "epoch": 38, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.1114, "loss": 0.2039, "time": 0.74342}
{"mode": "train", "epoch": 38, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01352, "loss": 0.21211, "time": 0.65733}
{"mode": "train", "epoch": 38, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.0032, "loss": 0.20373, "time": 0.64364}
{"mode": "train", "epoch": 38, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00681, "loss": 0.21995, "time": 0.66016}
{"mode": "val", "epoch": 38, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.45668, "accuracy_top-5": 98.72282}
{"mode": "train", "epoch": 39, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.12546, "loss": 0.19432, "time": 0.76343}
{"mode": "train", "epoch": 39, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00598, "loss": 0.20537, "time": 0.64491}
{"mode": "train", "epoch": 39, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00498, "loss": 0.21354, "time": 0.63284}
{"mode": "train", "epoch": 39, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00581, "loss": 0.17625, "time": 0.66008}
{"mode": "val", "epoch": 39, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.50846, "accuracy_top-5": 98.70556}
{"mode": "train", "epoch": 40, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10702, "loss": 0.19473, "time": 0.76302}
{"mode": "train", "epoch": 40, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00604, "loss": 0.17944, "time": 0.639}
{"mode": "train", "epoch": 40, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00319, "loss": 0.21108, "time": 0.64143}
{"mode": "train", "epoch": 40, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00585, "loss": 0.18687, "time": 0.64351}
{"mode": "val", "epoch": 40, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.45668, "accuracy_top-5": 98.70556}
{"mode": "train", "epoch": 41, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11381, "loss": 0.17274, "time": 0.75369}
{"mode": "train", "epoch": 41, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00597, "loss": 0.17886, "time": 0.63829}
{"mode": "train", "epoch": 41, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00409, "loss": 0.1846, "time": 0.64485}
{"mode": "train", "epoch": 41, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00625, "loss": 0.1818, "time": 0.64427}
{"mode": "val", "epoch": 41, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.62928, "accuracy_top-5": 98.74008}
{"mode": "train", "epoch": 42, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11213, "loss": 0.15597, "time": 0.74797}
{"mode": "train", "epoch": 42, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00678, "loss": 0.15259, "time": 0.65407}
{"mode": "train", "epoch": 42, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.01014, "loss": 0.17105, "time": 0.65194}
{"mode": "train", "epoch": 42, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00781, "loss": 0.18161, "time": 0.64582}
{"mode": "val", "epoch": 42, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.56024, "accuracy_top-5": 98.72282}
{"mode": "train", "epoch": 43, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11089, "loss": 0.1714, "time": 0.74328}
{"mode": "train", "epoch": 43, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01217, "loss": 0.16584, "time": 0.6657}
{"mode": "train", "epoch": 43, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00637, "loss": 0.16741, "time": 0.65983}
{"mode": "train", "epoch": 43, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00583, "loss": 0.171, "time": 0.6418}
{"mode": "val", "epoch": 43, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.64654, "accuracy_top-5": 98.70556}
{"mode": "train", "epoch": 44, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11175, "loss": 0.16658, "time": 0.74204}
{"mode": "train", "epoch": 44, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01129, "loss": 0.16728, "time": 0.65864}
{"mode": "train", "epoch": 44, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00674, "loss": 0.15967, "time": 0.65307}
{"mode": "train", "epoch": 44, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00585, "loss": 0.16524, "time": 0.63703}
{"mode": "val", "epoch": 44, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.59476, "accuracy_top-5": 98.74008}
{"mode": "train", "epoch": 45, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11045, "loss": 0.15487, "time": 0.74354}
{"mode": "train", "epoch": 45, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01241, "loss": 0.16064, "time": 0.65383}
{"mode": "train", "epoch": 45, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00715, "loss": 0.16129, "time": 0.64923}
{"mode": "train", "epoch": 45, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00593, "loss": 0.17731, "time": 0.63902}
{"mode": "val", "epoch": 45, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.40491, "accuracy_top-5": 98.72282}
{"mode": "train", "epoch": 46, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10961, "loss": 0.14468, "time": 0.74485}
{"mode": "train", "epoch": 46, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00546, "loss": 0.14795, "time": 0.65423}
{"mode": "train", "epoch": 46, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00583, "loss": 0.15017, "time": 0.64677}
{"mode": "train", "epoch": 46, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00317, "loss": 0.1336, "time": 0.63544}
{"mode": "val", "epoch": 46, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.61201, "accuracy_top-5": 98.6883}
{"mode": "train", "epoch": 47, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11007, "loss": 0.14609, "time": 0.7392}
{"mode": "train", "epoch": 47, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00621, "loss": 0.1549, "time": 0.65017}
{"mode": "train", "epoch": 47, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00622, "loss": 0.15105, "time": 0.64986}
{"mode": "train", "epoch": 47, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00586, "loss": 0.1437, "time": 0.63886}
{"mode": "val", "epoch": 47, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.54298, "accuracy_top-5": 98.63653}
{"mode": "train", "epoch": 48, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10921, "loss": 0.13822, "time": 0.74413}
{"mode": "train", "epoch": 48, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01141, "loss": 0.15628, "time": 0.65617}
{"mode": "train", "epoch": 48, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00601, "loss": 0.13331, "time": 0.65255}
{"mode": "train", "epoch": 48, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00654, "loss": 0.15101, "time": 0.64927}
{"mode": "val", "epoch": 48, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.50846, "accuracy_top-5": 98.65379}
{"mode": "train", "epoch": 49, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11065, "loss": 0.14362, "time": 0.74253}
{"mode": "train", "epoch": 49, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01278, "loss": 0.14541, "time": 0.64941}
{"mode": "train", "epoch": 49, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00314, "loss": 0.13609, "time": 0.65394}
{"mode": "train", "epoch": 49, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00718, "loss": 0.14536, "time": 0.6399}
{"mode": "val", "epoch": 49, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.40491, "accuracy_top-5": 98.70556}
{"mode": "train", "epoch": 50, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10977, "loss": 0.13968, "time": 0.742}
{"mode": "train", "epoch": 50, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.0066, "loss": 0.14296, "time": 0.64514}
{"mode": "train", "epoch": 50, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00403, "loss": 0.13755, "time": 0.63646}
{"mode": "train", "epoch": 50, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00628, "loss": 0.13347, "time": 0.66036}
{"mode": "val", "epoch": 50, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.56024, "accuracy_top-5": 98.70556}
{"mode": "train", "epoch": 51, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10539, "loss": 0.12235, "time": 0.74188}
{"mode": "train", "epoch": 51, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00648, "loss": 0.13281, "time": 0.6437}
{"mode": "train", "epoch": 51, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00365, "loss": 0.14225, "time": 0.64333}
{"mode": "train", "epoch": 51, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00689, "loss": 0.16257, "time": 0.65417}
{"mode": "val", "epoch": 51, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.47395, "accuracy_top-5": 98.74008}
{"mode": "train", "epoch": 52, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11048, "loss": 0.12764, "time": 0.7461}
{"mode": "train", "epoch": 52, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01147, "loss": 0.13009, "time": 0.66893}
{"mode": "train", "epoch": 52, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00545, "loss": 0.11364, "time": 0.65677}
{"mode": "train", "epoch": 52, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00545, "loss": 0.12281, "time": 0.63954}
{"mode": "val", "epoch": 52, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.68105, "accuracy_top-5": 98.63653}
{"mode": "train", "epoch": 53, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11038, "loss": 0.12621, "time": 0.74345}
{"mode": "train", "epoch": 53, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01523, "loss": 0.12014, "time": 0.65068}
{"mode": "train", "epoch": 53, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00362, "loss": 0.11418, "time": 0.6488}
{"mode": "train", "epoch": 53, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.01295, "loss": 0.1344, "time": 0.66111}
{"mode": "val", "epoch": 53, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.61201, "accuracy_top-5": 98.63653}
{"mode": "train", "epoch": 54, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11163, "loss": 0.12597, "time": 0.74472}
{"mode": "train", "epoch": 54, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01217, "loss": 0.13476, "time": 0.66583}
{"mode": "train", "epoch": 54, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00673, "loss": 0.11695, "time": 0.65476}
{"mode": "train", "epoch": 54, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.01207, "loss": 0.12369, "time": 0.64135}
{"mode": "val", "epoch": 54, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.64654, "accuracy_top-5": 98.65379}
{"mode": "train", "epoch": 55, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11241, "loss": 0.10773, "time": 0.74645}
{"mode": "train", "epoch": 55, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00643, "loss": 0.11589, "time": 0.6566}
{"mode": "train", "epoch": 55, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00325, "loss": 0.12945, "time": 0.65043}
{"mode": "train", "epoch": 55, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00552, "loss": 0.12391, "time": 0.63753}
{"mode": "val", "epoch": 55, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.61201, "accuracy_top-5": 98.70556}
{"mode": "train", "epoch": 56, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10794, "loss": 0.1404, "time": 0.7332}
{"mode": "train", "epoch": 56, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01068, "loss": 0.11136, "time": 0.64952}
{"mode": "train", "epoch": 56, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00581, "loss": 0.11809, "time": 0.671}
{"mode": "train", "epoch": 56, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00691, "loss": 0.11953, "time": 0.63818}
{"mode": "val", "epoch": 56, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.5775, "accuracy_top-5": 98.63653}
{"mode": "train", "epoch": 57, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10941, "loss": 0.11482, "time": 0.74187}
{"mode": "train", "epoch": 57, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01106, "loss": 0.11726, "time": 0.65928}
{"mode": "train", "epoch": 57, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00925, "loss": 0.13018, "time": 0.63599}
{"mode": "train", "epoch": 57, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00531, "loss": 0.11791, "time": 0.63883}
{"mode": "val", "epoch": 57, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.61201, "accuracy_top-5": 98.65379}
{"mode": "train", "epoch": 58, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11173, "loss": 0.1202, "time": 0.7425}
{"mode": "train", "epoch": 58, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01249, "loss": 0.10842, "time": 0.66869}
{"mode": "train", "epoch": 58, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00654, "loss": 0.11513, "time": 0.63384}
{"mode": "train", "epoch": 58, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00305, "loss": 0.11549, "time": 0.64093}
{"mode": "val", "epoch": 58, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.5775, "accuracy_top-5": 98.60201}
{"mode": "train", "epoch": 59, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11054, "loss": 0.10672, "time": 0.73849}
{"mode": "train", "epoch": 59, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00743, "loss": 0.10329, "time": 0.65109}
{"mode": "train", "epoch": 59, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00431, "loss": 0.11084, "time": 0.65523}
{"mode": "train", "epoch": 59, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00581, "loss": 0.10777, "time": 0.63581}
{"mode": "val", "epoch": 59, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.59476, "accuracy_top-5": 98.65379}
{"mode": "train", "epoch": 60, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10812, "loss": 0.12015, "time": 0.73821}
{"mode": "train", "epoch": 60, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00462, "loss": 0.11491, "time": 0.64091}
{"mode": "train", "epoch": 60, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00606, "loss": 0.10066, "time": 0.64682}
{"mode": "train", "epoch": 60, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00579, "loss": 0.11756, "time": 0.63725}
{"mode": "val", "epoch": 60, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.62928, "accuracy_top-5": 98.67104}
{"mode": "train", "epoch": 61, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11596, "loss": 0.10927, "time": 0.75363}
{"mode": "train", "epoch": 61, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01208, "loss": 0.10455, "time": 0.65425}
{"mode": "train", "epoch": 61, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.01005, "loss": 0.1093, "time": 0.65537}
{"mode": "train", "epoch": 61, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00581, "loss": 0.10828, "time": 0.64491}
{"mode": "val", "epoch": 61, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.71558, "accuracy_top-5": 98.65379}
{"mode": "train", "epoch": 62, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10606, "loss": 0.09681, "time": 0.7373}
{"mode": "train", "epoch": 62, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01334, "loss": 0.11415, "time": 0.65117}
{"mode": "train", "epoch": 62, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.004, "loss": 0.11188, "time": 0.64557}
{"mode": "train", "epoch": 62, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00724, "loss": 0.10388, "time": 0.65231}
{"mode": "val", "epoch": 62, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.62928, "accuracy_top-5": 98.63653}
{"mode": "train", "epoch": 63, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11051, "loss": 0.10611, "time": 0.74404}
{"mode": "train", "epoch": 63, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01138, "loss": 0.0985, "time": 0.65267}
{"mode": "train", "epoch": 63, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00997, "loss": 0.10133, "time": 0.65531}
{"mode": "train", "epoch": 63, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.0057, "loss": 0.10519, "time": 0.64394}
{"mode": "val", "epoch": 63, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.56024, "accuracy_top-5": 98.65379}
{"mode": "train", "epoch": 64, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11525, "loss": 0.09246, "time": 0.74867}
{"mode": "train", "epoch": 64, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01312, "loss": 0.10761, "time": 0.6621}
{"mode": "train", "epoch": 64, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00382, "loss": 0.10742, "time": 0.65027}
{"mode": "train", "epoch": 64, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00533, "loss": 0.10716, "time": 0.64296}
{"mode": "val", "epoch": 64, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.71558, "accuracy_top-5": 98.63653}
{"mode": "train", "epoch": 65, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11026, "loss": 0.10876, "time": 0.74186}
{"mode": "train", "epoch": 65, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01117, "loss": 0.11263, "time": 0.6541}
{"mode": "train", "epoch": 65, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00388, "loss": 0.10257, "time": 0.64587}
{"mode": "train", "epoch": 65, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00578, "loss": 0.10046, "time": 0.63734}
{"mode": "val", "epoch": 65, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.78461, "accuracy_top-5": 98.61926}
{"mode": "train", "epoch": 66, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10865, "loss": 0.08796, "time": 0.74493}
{"mode": "train", "epoch": 66, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01068, "loss": 0.10342, "time": 0.66729}
{"mode": "train", "epoch": 66, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00958, "loss": 0.08892, "time": 0.65811}
{"mode": "train", "epoch": 66, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00297, "loss": 0.10005, "time": 0.63346}
{"mode": "val", "epoch": 66, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.80187, "accuracy_top-5": 98.6883}
{"mode": "train", "epoch": 67, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11218, "loss": 0.10787, "time": 0.74649}
{"mode": "train", "epoch": 67, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00624, "loss": 0.09469, "time": 0.658}
{"mode": "train", "epoch": 67, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00342, "loss": 0.08699, "time": 0.65466}
{"mode": "train", "epoch": 67, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00557, "loss": 0.09557, "time": 0.63269}
{"mode": "val", "epoch": 67, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.73283, "accuracy_top-5": 98.65379}
{"mode": "train", "epoch": 68, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10905, "loss": 0.0909, "time": 0.73656}
{"mode": "train", "epoch": 68, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01084, "loss": 0.09667, "time": 0.63943}
{"mode": "train", "epoch": 68, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00433, "loss": 0.09259, "time": 0.6508}
{"mode": "train", "epoch": 68, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00849, "loss": 0.09399, "time": 0.64082}
{"mode": "val", "epoch": 68, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.76735, "accuracy_top-5": 98.6883}
{"mode": "train", "epoch": 69, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10806, "loss": 0.09602, "time": 0.73623}
{"mode": "train", "epoch": 69, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00572, "loss": 0.08278, "time": 0.63344}
{"mode": "train", "epoch": 69, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00331, "loss": 0.09688, "time": 0.64697}
{"mode": "train", "epoch": 69, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00556, "loss": 0.09112, "time": 0.63493}
{"mode": "val", "epoch": 69, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.64654, "accuracy_top-5": 98.60201}
{"mode": "train", "epoch": 70, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11135, "loss": 0.1006, "time": 0.74017}
{"mode": "train", "epoch": 70, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00746, "loss": 0.09238, "time": 0.64098}
{"mode": "train", "epoch": 70, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.0032, "loss": 0.08711, "time": 0.63054}
{"mode": "train", "epoch": 70, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00702, "loss": 0.09002, "time": 0.65882}
{"mode": "val", "epoch": 70, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.68105, "accuracy_top-5": 98.6883}
{"mode": "train", "epoch": 71, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.1125, "loss": 0.09594, "time": 0.74932}
{"mode": "train", "epoch": 71, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00763, "loss": 0.0829, "time": 0.64675}
{"mode": "train", "epoch": 71, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00461, "loss": 0.08789, "time": 0.64594}
{"mode": "train", "epoch": 71, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00608, "loss": 0.09853, "time": 0.65938}
{"mode": "val", "epoch": 71, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.61201, "accuracy_top-5": 98.67104}
{"mode": "train", "epoch": 72, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11044, "loss": 0.07828, "time": 0.74091}
{"mode": "train", "epoch": 72, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01191, "loss": 0.09577, "time": 0.6661}
{"mode": "train", "epoch": 72, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00382, "loss": 0.08755, "time": 0.64361}
{"mode": "train", "epoch": 72, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.0133, "loss": 0.08163, "time": 0.65111}
{"mode": "val", "epoch": 72, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.76735, "accuracy_top-5": 98.67104}
{"mode": "train", "epoch": 73, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10675, "loss": 0.08733, "time": 0.74327}
{"mode": "train", "epoch": 73, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00711, "loss": 0.09055, "time": 0.64811}
{"mode": "train", "epoch": 73, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00343, "loss": 0.08419, "time": 0.6344}
{"mode": "train", "epoch": 73, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.0065, "loss": 0.0807, "time": 0.64671}
{"mode": "val", "epoch": 73, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.50846, "accuracy_top-5": 98.65379}
{"mode": "train", "epoch": 74, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11386, "loss": 0.08319, "time": 0.76312}
{"mode": "train", "epoch": 74, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00605, "loss": 0.07349, "time": 0.65543}
{"mode": "train", "epoch": 74, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00326, "loss": 0.08322, "time": 0.6413}
{"mode": "train", "epoch": 74, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00724, "loss": 0.08186, "time": 0.65797}
{"mode": "val", "epoch": 74, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.71558, "accuracy_top-5": 98.6883}
{"mode": "train", "epoch": 75, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10717, "loss": 0.0848, "time": 0.73781}
{"mode": "train", "epoch": 75, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00548, "loss": 0.09171, "time": 0.639}
{"mode": "train", "epoch": 75, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00421, "loss": 0.09068, "time": 0.64638}
{"mode": "train", "epoch": 75, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00648, "loss": 0.07453, "time": 0.64853}
{"mode": "val", "epoch": 75, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.69831, "accuracy_top-5": 98.63653}
{"mode": "train", "epoch": 76, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11111, "loss": 0.08249, "time": 0.75613}
{"mode": "train", "epoch": 76, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01431, "loss": 0.09308, "time": 0.65293}
{"mode": "train", "epoch": 76, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00493, "loss": 0.09464, "time": 0.65473}
{"mode": "train", "epoch": 76, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00622, "loss": 0.09808, "time": 0.64925}
{"mode": "val", "epoch": 76, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.69831, "accuracy_top-5": 98.61926}
{"mode": "train", "epoch": 77, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10614, "loss": 0.08691, "time": 0.73434}
{"mode": "train", "epoch": 77, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01212, "loss": 0.08098, "time": 0.65155}
{"mode": "train", "epoch": 77, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00402, "loss": 0.10103, "time": 0.65737}
{"mode": "train", "epoch": 77, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00601, "loss": 0.08374, "time": 0.6431}
{"mode": "val", "epoch": 77, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.61201, "accuracy_top-5": 98.63653}
{"mode": "train", "epoch": 78, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10884, "loss": 0.09179, "time": 0.73916}
{"mode": "train", "epoch": 78, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01218, "loss": 0.07711, "time": 0.66363}
{"mode": "train", "epoch": 78, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00607, "loss": 0.08475, "time": 0.66685}
{"mode": "train", "epoch": 78, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00588, "loss": 0.08825, "time": 0.63838}
{"mode": "val", "epoch": 78, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.62928, "accuracy_top-5": 98.65379}
{"mode": "train", "epoch": 79, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11063, "loss": 0.08502, "time": 0.74215}
{"mode": "train", "epoch": 79, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00649, "loss": 0.08898, "time": 0.65337}
{"mode": "train", "epoch": 79, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00501, "loss": 0.08461, "time": 0.6622}
{"mode": "train", "epoch": 79, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00548, "loss": 0.08234, "time": 0.63739}
{"mode": "val", "epoch": 79, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.59476, "accuracy_top-5": 98.65379}
{"mode": "train", "epoch": 80, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11247, "loss": 0.07579, "time": 0.74098}
{"mode": "train", "epoch": 80, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01272, "loss": 0.09608, "time": 0.65034}
{"mode": "train", "epoch": 80, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00307, "loss": 0.0738, "time": 0.64824}
{"mode": "train", "epoch": 80, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00902, "loss": 0.08111, "time": 0.64777}
{"mode": "val", "epoch": 80, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.62928, "accuracy_top-5": 98.61926}
{"mode": "train", "epoch": 81, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.1059, "loss": 0.08495, "time": 0.74057}
{"mode": "train", "epoch": 81, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00682, "loss": 0.08417, "time": 0.64775}
{"mode": "train", "epoch": 81, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00311, "loss": 0.08224, "time": 0.64999}
{"mode": "train", "epoch": 81, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00681, "loss": 0.07628, "time": 0.65455}
{"mode": "val", "epoch": 81, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.62928, "accuracy_top-5": 98.61926}
{"mode": "train", "epoch": 82, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11726, "loss": 0.07893, "time": 0.76907}
{"mode": "train", "epoch": 82, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00623, "loss": 0.08952, "time": 0.6378}
{"mode": "train", "epoch": 82, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00339, "loss": 0.07915, "time": 0.66316}
{"mode": "train", "epoch": 82, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.0061, "loss": 0.0811, "time": 0.66337}
{"mode": "val", "epoch": 82, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.5775, "accuracy_top-5": 98.63653}
{"mode": "train", "epoch": 83, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10956, "loss": 0.08545, "time": 0.74601}
{"mode": "train", "epoch": 83, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00727, "loss": 0.0885, "time": 0.64364}
{"mode": "train", "epoch": 83, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00366, "loss": 0.08305, "time": 0.63064}
{"mode": "train", "epoch": 83, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00626, "loss": 0.07549, "time": 0.64641}
{"mode": "val", "epoch": 83, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.62928, "accuracy_top-5": 98.63653}
{"mode": "train", "epoch": 84, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11276, "loss": 0.07082, "time": 0.76045}
{"mode": "train", "epoch": 84, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00722, "loss": 0.08606, "time": 0.63851}
{"mode": "train", "epoch": 84, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00351, "loss": 0.06607, "time": 0.6414}
{"mode": "train", "epoch": 84, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.0071, "loss": 0.08159, "time": 0.64417}
{"mode": "val", "epoch": 84, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.61201, "accuracy_top-5": 98.61926}
{"mode": "train", "epoch": 85, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10759, "loss": 0.07797, "time": 0.75636}
{"mode": "train", "epoch": 85, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00844, "loss": 0.08843, "time": 0.63433}
{"mode": "train", "epoch": 85, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00297, "loss": 0.08735, "time": 0.65107}
{"mode": "train", "epoch": 85, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00628, "loss": 0.08368, "time": 0.6441}
{"mode": "val", "epoch": 85, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.59476, "accuracy_top-5": 98.63653}
{"mode": "train", "epoch": 86, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11114, "loss": 0.08064, "time": 0.75146}
{"mode": "train", "epoch": 86, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.007, "loss": 0.0741, "time": 0.65125}
{"mode": "train", "epoch": 86, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00355, "loss": 0.07174, "time": 0.63854}
{"mode": "train", "epoch": 86, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00661, "loss": 0.07935, "time": 0.65412}
{"mode": "val", "epoch": 86, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.6638, "accuracy_top-5": 98.63653}
{"mode": "train", "epoch": 87, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11709, "loss": 0.08654, "time": 0.76051}
{"mode": "train", "epoch": 87, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00656, "loss": 0.07967, "time": 0.64222}
{"mode": "train", "epoch": 87, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00605, "loss": 0.075, "time": 0.63956}
{"mode": "train", "epoch": 87, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.0035, "loss": 0.07176, "time": 0.6564}
{"mode": "val", "epoch": 87, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.56024, "accuracy_top-5": 98.63653}
{"mode": "train", "epoch": 88, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10944, "loss": 0.0844, "time": 0.74535}
{"mode": "train", "epoch": 88, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01281, "loss": 0.0789, "time": 0.65016}
{"mode": "train", "epoch": 88, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00375, "loss": 0.08705, "time": 0.64648}
{"mode": "train", "epoch": 88, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00844, "loss": 0.07584, "time": 0.65773}
{"mode": "val", "epoch": 88, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.62928, "accuracy_top-5": 98.63653}
{"mode": "train", "epoch": 89, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11005, "loss": 0.08741, "time": 0.74289}
{"mode": "train", "epoch": 89, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00708, "loss": 0.06832, "time": 0.64897}
{"mode": "train", "epoch": 89, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00381, "loss": 0.0745, "time": 0.64571}
{"mode": "train", "epoch": 89, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00629, "loss": 0.08581, "time": 0.66413}
{"mode": "val", "epoch": 89, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.59476, "accuracy_top-5": 98.63653}
{"mode": "train", "epoch": 90, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.1141, "loss": 0.07279, "time": 0.75234}
{"mode": "train", "epoch": 90, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01479, "loss": 0.07671, "time": 0.65633}
{"mode": "train", "epoch": 90, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00439, "loss": 0.08137, "time": 0.63737}
{"mode": "train", "epoch": 90, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.0068, "loss": 0.07621, "time": 0.66731}
{"mode": "val", "epoch": 90, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.6638, "accuracy_top-5": 98.63653}
{"mode": "train", "epoch": 91, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10843, "loss": 0.07365, "time": 0.73401}
{"mode": "train", "epoch": 91, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01171, "loss": 0.0842, "time": 0.66918}
{"mode": "train", "epoch": 91, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00871, "loss": 0.06538, "time": 0.66753}
{"mode": "train", "epoch": 91, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00577, "loss": 0.07063, "time": 0.63069}
{"mode": "val", "epoch": 91, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.6638, "accuracy_top-5": 98.61926}
{"mode": "train", "epoch": 92, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.1123, "loss": 0.06721, "time": 0.73767}
{"mode": "train", "epoch": 92, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00476, "loss": 0.07705, "time": 0.65226}
{"mode": "train", "epoch": 92, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.01232, "loss": 0.08701, "time": 0.6742}
{"mode": "train", "epoch": 92, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00604, "loss": 0.06713, "time": 0.6398}
{"mode": "val", "epoch": 92, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.68105, "accuracy_top-5": 98.61926}
{"mode": "train", "epoch": 93, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11049, "loss": 0.06848, "time": 0.74029}
{"mode": "train", "epoch": 93, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01159, "loss": 0.08081, "time": 0.67415}
{"mode": "train", "epoch": 93, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00612, "loss": 0.09853, "time": 0.63307}
{"mode": "train", "epoch": 93, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.0036, "loss": 0.07265, "time": 0.64896}
{"mode": "val", "epoch": 93, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.64654, "accuracy_top-5": 98.61926}
{"mode": "train", "epoch": 94, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10803, "loss": 0.07933, "time": 0.73842}
{"mode": "train", "epoch": 94, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00495, "loss": 0.06966, "time": 0.64293}
{"mode": "train", "epoch": 94, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00677, "loss": 0.07747, "time": 0.65373}
{"mode": "train", "epoch": 94, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00341, "loss": 0.08701, "time": 0.6429}
{"mode": "val", "epoch": 94, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.64654, "accuracy_top-5": 98.61926}
{"mode": "train", "epoch": 95, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10849, "loss": 0.08015, "time": 0.74167}
{"mode": "train", "epoch": 95, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01202, "loss": 0.07438, "time": 0.65835}
{"mode": "train", "epoch": 95, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00602, "loss": 0.08683, "time": 0.63811}
{"mode": "train", "epoch": 95, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00341, "loss": 0.09643, "time": 0.63668}
{"mode": "val", "epoch": 95, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.64654, "accuracy_top-5": 98.61926}
{"mode": "train", "epoch": 96, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11149, "loss": 0.07814, "time": 0.73978}
{"mode": "train", "epoch": 96, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01191, "loss": 0.08244, "time": 0.64618}
{"mode": "train", "epoch": 96, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00691, "loss": 0.07632, "time": 0.65739}
{"mode": "train", "epoch": 96, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00684, "loss": 0.07984, "time": 0.64587}
{"mode": "val", "epoch": 96, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.64654, "accuracy_top-5": 98.61926}
{"mode": "train", "epoch": 97, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11667, "loss": 0.07543, "time": 0.75141}
{"mode": "train", "epoch": 97, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00593, "loss": 0.07983, "time": 0.66044}
{"mode": "train", "epoch": 97, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00621, "loss": 0.07743, "time": 0.64374}
{"mode": "train", "epoch": 97, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00316, "loss": 0.07648, "time": 0.65417}
{"mode": "val", "epoch": 97, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.64654, "accuracy_top-5": 98.61926}
{"mode": "train", "epoch": 98, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.11292, "loss": 0.08595, "time": 0.74679}
{"mode": "train", "epoch": 98, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.01285, "loss": 0.07955, "time": 0.65496}
{"mode": "train", "epoch": 98, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00659, "loss": 0.07863, "time": 0.65046}
{"mode": "train", "epoch": 98, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00434, "loss": 0.07932, "time": 0.64218}
{"mode": "val", "epoch": 98, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.64654, "accuracy_top-5": 98.61926}
{"mode": "train", "epoch": 99, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.12408, "loss": 0.07219, "time": 0.76338}
{"mode": "train", "epoch": 99, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00625, "loss": 0.0834, "time": 0.63527}
{"mode": "train", "epoch": 99, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00296, "loss": 0.0892, "time": 0.64255}
{"mode": "train", "epoch": 99, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00563, "loss": 0.07798, "time": 0.63968}
{"mode": "val", "epoch": 99, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.64654, "accuracy_top-5": 98.61926}
{"mode": "train", "epoch": 100, "iter": 20, "lr": 0.0, "memory": 14615, "data_time": 0.10888, "loss": 0.07968, "time": 0.73876}
{"mode": "train", "epoch": 100, "iter": 40, "lr": 0.0, "memory": 14615, "data_time": 0.00573, "loss": 0.07552, "time": 0.6446}
{"mode": "train", "epoch": 100, "iter": 60, "lr": 0.0, "memory": 14615, "data_time": 0.00872, "loss": 0.07621, "time": 0.65073}
{"mode": "train", "epoch": 100, "iter": 80, "lr": 0.0, "memory": 14615, "data_time": 0.00587, "loss": 0.08251, "time": 0.63576}
{"mode": "val", "epoch": 100, "iter": 91, "lr": 0.0, "accuracy_top-1": 91.64654, "accuracy_top-5": 98.61926}