{"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": 0.0005, "memory": 3660, "data_time": 2.61124, "loss": 5.3017, "time": 2.80587}
{"mode": "train", "epoch": 1, "iter": 40, "lr": 0.00092, "memory": 3660, "data_time": 0.0044, "loss": 5.3013, "time": 0.12943}
{"mode": "train", "epoch": 1, "iter": 60, "lr": 0.00134, "memory": 3660, "data_time": 0.00193, "loss": 5.2949, "time": 0.14209}
{"mode": "train", "epoch": 1, "iter": 80, "lr": 0.00176, "memory": 3660, "data_time": 0.00296, "loss": 5.29529, "time": 0.13201}
{"mode": "val", "epoch": 1, "iter": 91, "lr": 0.00206, "accuracy_top-1": 0.98378, "accuracy_top-5": 5.19503}
{"mode": "train", "epoch": 2, "iter": 20, "lr": 0.00248, "memory": 3660, "data_time": 0.10663, "loss": 5.27256, "time": 0.22779}
{"mode": "train", "epoch": 2, "iter": 40, "lr": 0.0029, "memory": 3660, "data_time": 0.00852, "loss": 5.25759, "time": 0.12971}
{"mode": "train", "epoch": 2, "iter": 60, "lr": 0.00332, "memory": 3660, "data_time": 0.00184, "loss": 5.24394, "time": 0.12503}
{"mode": "train", "epoch": 2, "iter": 80, "lr": 0.00374, "memory": 3660, "data_time": 0.00226, "loss": 5.22974, "time": 0.12886}
{"mode": "val", "epoch": 2, "iter": 91, "lr": 0.00404, "accuracy_top-1": 10.06213, "accuracy_top-5": 28.27063}
{"mode": "train", "epoch": 3, "iter": 20, "lr": 0.00446, "memory": 3660, "data_time": 0.10595, "loss": 5.14598, "time": 0.22605}
{"mode": "train", "epoch": 3, "iter": 40, "lr": 0.00488, "memory": 3660, "data_time": 0.00136, "loss": 5.10008, "time": 0.13312}
{"mode": "train", "epoch": 3, "iter": 60, "lr": 0.0053, "memory": 3660, "data_time": 0.00227, "loss": 5.05803, "time": 0.12639}
{"mode": "train", "epoch": 3, "iter": 80, "lr": 0.00572, "memory": 3660, "data_time": 0.00118, "loss": 4.96425, "time": 0.12714}
{"mode": "val", "epoch": 3, "iter": 91, "lr": 0.00601, "accuracy_top-1": 22.55782, "accuracy_top-5": 52.45081}
{"mode": "train", "epoch": 4, "iter": 20, "lr": 0.00643, "memory": 3660, "data_time": 0.10611, "loss": 4.68236, "time": 0.23934}
{"mode": "train", "epoch": 4, "iter": 40, "lr": 0.00685, "memory": 3660, "data_time": 0.00081, "loss": 4.49371, "time": 0.13099}
{"mode": "train", "epoch": 4, "iter": 60, "lr": 0.00727, "memory": 3660, "data_time": 0.00102, "loss": 4.27993, "time": 0.13065}
{"mode": "train", "epoch": 4, "iter": 80, "lr": 0.00769, "memory": 3660, "data_time": 0.00368, "loss": 3.96306, "time": 0.12967}
{"mode": "val", "epoch": 4, "iter": 91, "lr": 0.00798, "accuracy_top-1": 42.54401, "accuracy_top-5": 76.02693}
{"mode": "train", "epoch": 5, "iter": 20, "lr": 0.00839, "memory": 3660, "data_time": 0.10626, "loss": 3.31042, "time": 0.22774}
{"mode": "train", "epoch": 5, "iter": 40, "lr": 0.00881, "memory": 3660, "data_time": 0.00166, "loss": 2.98813, "time": 0.13572}
{"mode": "train", "epoch": 5, "iter": 60, "lr": 0.00923, "memory": 3660, "data_time": 0.00117, "loss": 2.74813, "time": 0.12589}
{"mode": "train", "epoch": 5, "iter": 80, "lr": 0.00965, "memory": 3660, "data_time": 0.00355, "loss": 2.43425, "time": 0.12672}
{"mode": "val", "epoch": 5, "iter": 91, "lr": 0.00994, "accuracy_top-1": 61.78806, "accuracy_top-5": 89.19572}
{"mode": "train", "epoch": 6, "iter": 20, "lr": 0.00994, "memory": 3660, "data_time": 0.10616, "loss": 2.00825, "time": 0.23143}
{"mode": "train", "epoch": 6, "iter": 40, "lr": 0.00994, "memory": 3660, "data_time": 0.00141, "loss": 1.83109, "time": 0.12909}
{"mode": "train", "epoch": 6, "iter": 60, "lr": 0.00994, "memory": 3660, "data_time": 0.00148, "loss": 1.67941, "time": 0.1245}
{"mode": "train", "epoch": 6, "iter": 80, "lr": 0.00994, "memory": 3660, "data_time": 0.00122, "loss": 1.65732, "time": 0.12813}
{"mode": "val", "epoch": 6, "iter": 91, "lr": 0.00994, "accuracy_top-1": 72.33345, "accuracy_top-5": 94.3735}
{"mode": "train", "epoch": 7, "iter": 20, "lr": 0.00991, "memory": 3660, "data_time": 0.1062, "loss": 1.32502, "time": 0.22559}
{"mode": "train", "epoch": 7, "iter": 40, "lr": 0.00991, "memory": 3660, "data_time": 0.00128, "loss": 1.29166, "time": 0.12567}
{"mode": "train", "epoch": 7, "iter": 60, "lr": 0.00991, "memory": 3660, "data_time": 0.00129, "loss": 1.2996, "time": 0.12588}
{"mode": "train", "epoch": 7, "iter": 80, "lr": 0.00991, "memory": 3660, "data_time": 0.00188, "loss": 1.1985, "time": 0.12575}
{"mode": "val", "epoch": 7, "iter": 91, "lr": 0.00991, "accuracy_top-1": 77.52848, "accuracy_top-5": 96.01312}
{"mode": "train", "epoch": 8, "iter": 20, "lr": 0.00988, "memory": 3660, "data_time": 0.10609, "loss": 1.04723, "time": 0.23133}
{"mode": "train", "epoch": 8, "iter": 40, "lr": 0.00988, "memory": 3660, "data_time": 0.00162, "loss": 1.01238, "time": 0.12651}
{"mode": "train", "epoch": 8, "iter": 60, "lr": 0.00988, "memory": 3660, "data_time": 0.00185, "loss": 1.00957, "time": 0.12272}
{"mode": "train", "epoch": 8, "iter": 80, "lr": 0.00988, "memory": 3660, "data_time": 0.00133, "loss": 0.96524, "time": 0.12906}
{"mode": "val", "epoch": 8, "iter": 91, "lr": 0.00988, "accuracy_top-1": 79.13359, "accuracy_top-5": 96.75527}
{"mode": "train", "epoch": 9, "iter": 20, "lr": 0.00984, "memory": 3660, "data_time": 0.10629, "loss": 0.90138, "time": 0.2262}
{"mode": "train", "epoch": 9, "iter": 40, "lr": 0.00984, "memory": 3660, "data_time": 0.00158, "loss": 0.8281, "time": 0.12375}
{"mode": "train", "epoch": 9, "iter": 60, "lr": 0.00984, "memory": 3660, "data_time": 0.00129, "loss": 0.83452, "time": 0.12496}
{"mode": "train", "epoch": 9, "iter": 80, "lr": 0.00984, "memory": 3660, "data_time": 0.00278, "loss": 0.87982, "time": 0.13953}
{"mode": "val", "epoch": 9, "iter": 91, "lr": 0.00984, "accuracy_top-1": 80.46255, "accuracy_top-5": 96.94512}
{"mode": "train", "epoch": 10, "iter": 20, "lr": 0.0098, "memory": 3660, "data_time": 0.10596, "loss": 0.73498, "time": 0.22668}
{"mode": "train", "epoch": 10, "iter": 40, "lr": 0.0098, "memory": 3660, "data_time": 0.00166, "loss": 0.71833, "time": 0.12475}
{"mode": "train", "epoch": 10, "iter": 60, "lr": 0.0098, "memory": 3660, "data_time": 0.00108, "loss": 0.6951, "time": 0.12933}
{"mode": "train", "epoch": 10, "iter": 80, "lr": 0.0098, "memory": 3660, "data_time": 0.00198, "loss": 0.76547, "time": 0.12131}
{"mode": "val", "epoch": 10, "iter": 91, "lr": 0.0098, "accuracy_top-1": 81.27374, "accuracy_top-5": 97.03142}
{"mode": "train", "epoch": 11, "iter": 20, "lr": 0.00976, "memory": 3660, "data_time": 0.10621, "loss": 0.69084, "time": 0.22918}
{"mode": "train", "epoch": 11, "iter": 40, "lr": 0.00976, "memory": 3660, "data_time": 0.00125, "loss": 0.66207, "time": 0.12266}
{"mode": "train", "epoch": 11, "iter": 60, "lr": 0.00976, "memory": 3660, "data_time": 0.00152, "loss": 0.66275, "time": 0.12841}
{"mode": "train", "epoch": 11, "iter": 80, "lr": 0.00976, "memory": 3660, "data_time": 0.00141, "loss": 0.64463, "time": 0.12589}
{"mode": "val", "epoch": 11, "iter": 91, "lr": 0.00976, "accuracy_top-1": 82.43011, "accuracy_top-5": 97.48016}
{"mode": "train", "epoch": 12, "iter": 20, "lr": 0.0097, "memory": 3660, "data_time": 0.10596, "loss": 0.59105, "time": 0.22823}
{"mode": "train", "epoch": 12, "iter": 40, "lr": 0.0097, "memory": 3660, "data_time": 0.0026, "loss": 0.55977, "time": 0.12899}
{"mode": "train", "epoch": 12, "iter": 60, "lr": 0.0097, "memory": 3660, "data_time": 0.00187, "loss": 0.58111, "time": 0.1227}
{"mode": "train", "epoch": 12, "iter": 80, "lr": 0.0097, "memory": 3660, "data_time": 0.00099, "loss": 0.57654, "time": 0.1275}
{"mode": "val", "epoch": 12, "iter": 91, "lr": 0.0097, "accuracy_top-1": 83.56921, "accuracy_top-5": 97.63549}
{"mode": "train", "epoch": 13, "iter": 20, "lr": 0.00965, "memory": 3660, "data_time": 0.10595, "loss": 0.5231, "time": 0.22587}
{"mode": "train", "epoch": 13, "iter": 40, "lr": 0.00965, "memory": 3660, "data_time": 0.00151, "loss": 0.48427, "time": 0.12196}
{"mode": "train", "epoch": 13, "iter": 60, "lr": 0.00965, "memory": 3660, "data_time": 0.00114, "loss": 0.51979, "time": 0.13191}
{"mode": "train", "epoch": 13, "iter": 80, "lr": 0.00965, "memory": 3660, "data_time": 0.00151, "loss": 0.57264, "time": 0.12417}
{"mode": "val", "epoch": 13, "iter": 91, "lr": 0.00965, "accuracy_top-1": 84.98447, "accuracy_top-5": 97.67001}
{"mode": "train", "epoch": 14, "iter": 20, "lr": 0.00959, "memory": 3660, "data_time": 0.10602, "loss": 0.45368, "time": 0.23383}
{"mode": "train", "epoch": 14, "iter": 40, "lr": 0.00959, "memory": 3660, "data_time": 0.00183, "loss": 0.46582, "time": 0.122}
{"mode": "train", "epoch": 14, "iter": 60, "lr": 0.00959, "memory": 3660, "data_time": 0.00192, "loss": 0.47358, "time": 0.12972}
{"mode": "train", "epoch": 14, "iter": 80, "lr": 0.00959, "memory": 3660, "data_time": 0.00103, "loss": 0.52728, "time": 0.132}
{"mode": "val", "epoch": 14, "iter": 91, "lr": 0.00959, "accuracy_top-1": 85.1398, "accuracy_top-5": 97.98067}
{"mode": "train", "epoch": 15, "iter": 20, "lr": 0.00952, "memory": 3660, "data_time": 0.11201, "loss": 0.42506, "time": 0.23152}
{"mode": "train", "epoch": 15, "iter": 40, "lr": 0.00952, "memory": 3660, "data_time": 0.00123, "loss": 0.46178, "time": 0.12273}
{"mode": "train", "epoch": 15, "iter": 60, "lr": 0.00952, "memory": 3660, "data_time": 0.00151, "loss": 0.43448, "time": 0.12425}
{"mode": "train", "epoch": 15, "iter": 80, "lr": 0.00952, "memory": 3660, "data_time": 0.00224, "loss": 0.45881, "time": 0.12252}
{"mode": "val", "epoch": 15, "iter": 91, "lr": 0.00952, "accuracy_top-1": 84.98447, "accuracy_top-5": 97.99793}
{"mode": "train", "epoch": 16, "iter": 20, "lr": 0.00946, "memory": 3660, "data_time": 0.11148, "loss": 0.41618, "time": 0.23194}
{"mode": "train", "epoch": 16, "iter": 40, "lr": 0.00946, "memory": 3660, "data_time": 0.00128, "loss": 0.3921, "time": 0.12431}
{"mode": "train", "epoch": 16, "iter": 60, "lr": 0.00946, "memory": 3660, "data_time": 0.001, "loss": 0.40406, "time": 0.12699}
{"mode": "train", "epoch": 16, "iter": 80, "lr": 0.00946, "memory": 3660, "data_time": 0.00374, "loss": 0.42786, "time": 0.12381}
{"mode": "val", "epoch": 16, "iter": 91, "lr": 0.00946, "accuracy_top-1": 85.6921, "accuracy_top-5": 97.8426}
{"mode": "train", "epoch": 17, "iter": 20, "lr": 0.00938, "memory": 3660, "data_time": 0.10621, "loss": 0.3955, "time": 0.2284}
{"mode": "train", "epoch": 17, "iter": 40, "lr": 0.00938, "memory": 3660, "data_time": 0.0016, "loss": 0.37142, "time": 0.12242}
{"mode": "train", "epoch": 17, "iter": 60, "lr": 0.00938, "memory": 3660, "data_time": 0.00188, "loss": 0.36878, "time": 0.12608}
{"mode": "train", "epoch": 17, "iter": 80, "lr": 0.00938, "memory": 3660, "data_time": 0.00116, "loss": 0.37165, "time": 0.12521}
{"mode": "val", "epoch": 17, "iter": 91, "lr": 0.00938, "accuracy_top-1": 85.81291, "accuracy_top-5": 98.06697}
{"mode": "train", "epoch": 18, "iter": 20, "lr": 0.0093, "memory": 3660, "data_time": 0.10576, "loss": 0.36336, "time": 0.2256}
{"mode": "train", "epoch": 18, "iter": 40, "lr": 0.0093, "memory": 3660, "data_time": 0.00128, "loss": 0.37414, "time": 0.12352}
{"mode": "train", "epoch": 18, "iter": 60, "lr": 0.0093, "memory": 3660, "data_time": 0.00158, "loss": 0.34549, "time": 0.12595}
{"mode": "train", "epoch": 18, "iter": 80, "lr": 0.0093, "memory": 3660, "data_time": 0.00123, "loss": 0.36376, "time": 0.12497}
{"mode": "val", "epoch": 18, "iter": 91, "lr": 0.0093, "accuracy_top-1": 86.39973, "accuracy_top-5": 97.94616}
{"mode": "train", "epoch": 19, "iter": 20, "lr": 0.00922, "memory": 3660, "data_time": 0.10593, "loss": 0.34676, "time": 0.23831}
{"mode": "train", "epoch": 19, "iter": 40, "lr": 0.00922, "memory": 3660, "data_time": 0.00168, "loss": 0.30653, "time": 0.12434}
{"mode": "train", "epoch": 19, "iter": 60, "lr": 0.00922, "memory": 3660, "data_time": 0.00117, "loss": 0.30807, "time": 0.12529}
{"mode": "train", "epoch": 19, "iter": 80, "lr": 0.00922, "memory": 3660, "data_time": 0.00303, "loss": 0.34352, "time": 0.1236}
{"mode": "val", "epoch": 19, "iter": 91, "lr": 0.00922, "accuracy_top-1": 86.93476, "accuracy_top-5": 98.08423}
{"mode": "train", "epoch": 20, "iter": 20, "lr": 0.00914, "memory": 3660, "data_time": 0.10597, "loss": 0.31919, "time": 0.22606}
{"mode": "train", "epoch": 20, "iter": 40, "lr": 0.00914, "memory": 3660, "data_time": 0.00177, "loss": 0.32518, "time": 0.12398}
{"mode": "train", "epoch": 20, "iter": 60, "lr": 0.00914, "memory": 3660, "data_time": 0.00099, "loss": 0.28491, "time": 0.12549}
{"mode": "train", "epoch": 20, "iter": 80, "lr": 0.00914, "memory": 3660, "data_time": 0.00159, "loss": 0.29536, "time": 0.12485}
{"mode": "val", "epoch": 20, "iter": 91, "lr": 0.00914, "accuracy_top-1": 86.50328, "accuracy_top-5": 97.99793}
{"mode": "train", "epoch": 21, "iter": 20, "lr": 0.00905, "memory": 3660, "data_time": 0.10784, "loss": 0.26473, "time": 0.23202}
{"mode": "train", "epoch": 21, "iter": 40, "lr": 0.00905, "memory": 3660, "data_time": 0.00126, "loss": 0.28359, "time": 0.12661}
{"mode": "train", "epoch": 21, "iter": 60, "lr": 0.00905, "memory": 3660, "data_time": 0.00145, "loss": 0.28757, "time": 0.12989}
{"mode": "train", "epoch": 21, "iter": 80, "lr": 0.00905, "memory": 3660, "data_time": 0.00233, "loss": 0.27633, "time": 0.12668}
{"mode": "val", "epoch": 21, "iter": 91, "lr": 0.00905, "accuracy_top-1": 86.98654, "accuracy_top-5": 97.94616}
{"mode": "train", "epoch": 22, "iter": 20, "lr": 0.00895, "memory": 3660, "data_time": 0.1051, "loss": 0.26226, "time": 0.22561}
{"mode": "train", "epoch": 22, "iter": 40, "lr": 0.00895, "memory": 3660, "data_time": 0.00239, "loss": 0.26643, "time": 0.12451}
{"mode": "train", "epoch": 22, "iter": 60, "lr": 0.00895, "memory": 3660, "data_time": 0.00178, "loss": 0.27507, "time": 0.13169}
{"mode": "train", "epoch": 22, "iter": 80, "lr": 0.00895, "memory": 3660, "data_time": 0.00106, "loss": 0.27895, "time": 0.12298}
{"mode": "val", "epoch": 22, "iter": 91, "lr": 0.00895, "accuracy_top-1": 87.48706, "accuracy_top-5": 98.01519}
{"mode": "train", "epoch": 23, "iter": 20, "lr": 0.00885, "memory": 3660, "data_time": 0.10637, "loss": 0.25405, "time": 0.22818}
{"mode": "train", "epoch": 23, "iter": 40, "lr": 0.00885, "memory": 3660, "data_time": 0.00156, "loss": 0.24887, "time": 0.12157}
{"mode": "train", "epoch": 23, "iter": 60, "lr": 0.00885, "memory": 3660, "data_time": 0.00107, "loss": 0.26717, "time": 0.13315}
{"mode": "train", "epoch": 23, "iter": 80, "lr": 0.00885, "memory": 3660, "data_time": 0.0017, "loss": 0.26369, "time": 0.12083}
{"mode": "val", "epoch": 23, "iter": 91, "lr": 0.00885, "accuracy_top-1": 86.64136, "accuracy_top-5": 97.8426}
{"mode": "train", "epoch": 24, "iter": 20, "lr": 0.00875, "memory": 3660, "data_time": 0.10889, "loss": 0.23679, "time": 0.23622}
{"mode": "train", "epoch": 24, "iter": 40, "lr": 0.00875, "memory": 3660, "data_time": 0.00137, "loss": 0.24578, "time": 0.12499}
{"mode": "train", "epoch": 24, "iter": 60, "lr": 0.00875, "memory": 3660, "data_time": 0.00115, "loss": 0.22593, "time": 0.12272}
{"mode": "train", "epoch": 24, "iter": 80, "lr": 0.00875, "memory": 3660, "data_time": 0.00246, "loss": 0.24188, "time": 0.12948}
{"mode": "val", "epoch": 24, "iter": 91, "lr": 0.00875, "accuracy_top-1": 86.65862, "accuracy_top-5": 97.79082}
{"mode": "train", "epoch": 25, "iter": 20, "lr": 0.00864, "memory": 3660, "data_time": 0.1053, "loss": 0.22927, "time": 0.2279}
{"mode": "train", "epoch": 25, "iter": 40, "lr": 0.00864, "memory": 3660, "data_time": 0.00251, "loss": 0.22036, "time": 0.13133}
{"mode": "train", "epoch": 25, "iter": 60, "lr": 0.00864, "memory": 3660, "data_time": 0.00235, "loss": 0.2419, "time": 0.1224}
{"mode": "train", "epoch": 25, "iter": 80, "lr": 0.00864, "memory": 3660, "data_time": 0.00107, "loss": 0.238, "time": 0.1321}
{"mode": "val", "epoch": 25, "iter": 91, "lr": 0.00864, "accuracy_top-1": 87.15913, "accuracy_top-5": 97.87712}
{"mode": "train", "epoch": 26, "iter": 20, "lr": 0.00854, "memory": 3660, "data_time": 0.10993, "loss": 0.20654, "time": 0.2336}
{"mode": "train", "epoch": 26, "iter": 40, "lr": 0.00854, "memory": 3660, "data_time": 0.00137, "loss": 0.20808, "time": 0.13308}
{"mode": "train", "epoch": 26, "iter": 60, "lr": 0.00854, "memory": 3660, "data_time": 0.00105, "loss": 0.21232, "time": 0.12608}
{"mode": "train", "epoch": 26, "iter": 80, "lr": 0.00854, "memory": 3660, "data_time": 0.0025, "loss": 0.2241, "time": 0.12676}
{"mode": "val", "epoch": 26, "iter": 91, "lr": 0.00854, "accuracy_top-1": 87.41802, "accuracy_top-5": 97.99793}
{"mode": "train", "epoch": 27, "iter": 20, "lr": 0.00842, "memory": 3660, "data_time": 0.11291, "loss": 0.1888, "time": 0.2347}
{"mode": "train", "epoch": 27, "iter": 40, "lr": 0.00842, "memory": 3660, "data_time": 0.00196, "loss": 0.20338, "time": 0.1236}
{"mode": "train", "epoch": 27, "iter": 60, "lr": 0.00842, "memory": 3660, "data_time": 0.00242, "loss": 0.20315, "time": 0.12356}
{"mode": "train", "epoch": 27, "iter": 80, "lr": 0.00842, "memory": 3660, "data_time": 0.00105, "loss": 0.21742, "time": 0.12639}
{"mode": "val", "epoch": 27, "iter": 91, "lr": 0.00842, "accuracy_top-1": 87.03832, "accuracy_top-5": 98.10149}
{"mode": "train", "epoch": 28, "iter": 20, "lr": 0.00831, "memory": 3660, "data_time": 0.11074, "loss": 0.19643, "time": 0.2335}
{"mode": "train", "epoch": 28, "iter": 40, "lr": 0.00831, "memory": 3660, "data_time": 0.00124, "loss": 0.19036, "time": 0.12297}
{"mode": "train", "epoch": 28, "iter": 60, "lr": 0.00831, "memory": 3660, "data_time": 0.00096, "loss": 0.19721, "time": 0.13228}
{"mode": "train", "epoch": 28, "iter": 80, "lr": 0.00831, "memory": 3660, "data_time": 0.00213, "loss": 0.21486, "time": 0.1216}
{"mode": "val", "epoch": 28, "iter": 91, "lr": 0.00831, "accuracy_top-1": 87.14188, "accuracy_top-5": 98.04971}
{"mode": "train", "epoch": 29, "iter": 20, "lr": 0.00819, "memory": 3660, "data_time": 0.10898, "loss": 0.19016, "time": 0.23885}
{"mode": "train", "epoch": 29, "iter": 40, "lr": 0.00819, "memory": 3660, "data_time": 0.00126, "loss": 0.18911, "time": 0.12726}
{"mode": "train", "epoch": 29, "iter": 60, "lr": 0.00819, "memory": 3660, "data_time": 0.00318, "loss": 0.18723, "time": 0.12369}
{"mode": "train", "epoch": 29, "iter": 80, "lr": 0.00819, "memory": 3660, "data_time": 0.00104, "loss": 0.18838, "time": 0.12757}
{"mode": "val", "epoch": 29, "iter": 91, "lr": 0.00819, "accuracy_top-1": 87.24543, "accuracy_top-5": 98.06697}
{"mode": "train", "epoch": 30, "iter": 20, "lr": 0.00806, "memory": 3660, "data_time": 0.11211, "loss": 0.17877, "time": 0.23296}
{"mode": "train", "epoch": 30, "iter": 40, "lr": 0.00806, "memory": 3660, "data_time": 0.00184, "loss": 0.17431, "time": 0.12957}
{"mode": "train", "epoch": 30, "iter": 60, "lr": 0.00806, "memory": 3660, "data_time": 0.00104, "loss": 0.18009, "time": 0.12178}
{"mode": "train", "epoch": 30, "iter": 80, "lr": 0.00806, "memory": 3660, "data_time": 0.0029, "loss": 0.17115, "time": 0.12532}
{"mode": "val", "epoch": 30, "iter": 91, "lr": 0.00806, "accuracy_top-1": 87.45255, "accuracy_top-5": 97.92889}
{"mode": "train", "epoch": 31, "iter": 20, "lr": 0.00794, "memory": 3660, "data_time": 0.11102, "loss": 0.16549, "time": 0.23908}
{"mode": "train", "epoch": 31, "iter": 40, "lr": 0.00794, "memory": 3660, "data_time": 0.0015, "loss": 0.17701, "time": 0.12192}
{"mode": "train", "epoch": 31, "iter": 60, "lr": 0.00794, "memory": 3660, "data_time": 0.00245, "loss": 0.1591, "time": 0.12316}
{"mode": "train", "epoch": 31, "iter": 80, "lr": 0.00794, "memory": 3660, "data_time": 0.00097, "loss": 0.1801, "time": 0.12671}
{"mode": "val", "epoch": 31, "iter": 91, "lr": 0.00794, "accuracy_top-1": 87.45255, "accuracy_top-5": 98.06697}
{"mode": "train", "epoch": 32, "iter": 20, "lr": 0.00781, "memory": 3660, "data_time": 0.11131, "loss": 0.16059, "time": 0.23847}
{"mode": "train", "epoch": 32, "iter": 40, "lr": 0.00781, "memory": 3660, "data_time": 0.0019, "loss": 0.15907, "time": 0.12473}
{"mode": "train", "epoch": 32, "iter": 60, "lr": 0.00781, "memory": 3660, "data_time": 0.00095, "loss": 0.16047, "time": 0.13081}
{"mode": "train", "epoch": 32, "iter": 80, "lr": 0.00781, "memory": 3660, "data_time": 0.00166, "loss": 0.15632, "time": 0.12048}
{"mode": "val", "epoch": 32, "iter": 91, "lr": 0.00781, "accuracy_top-1": 87.36625, "accuracy_top-5": 98.13601}
{"mode": "train", "epoch": 33, "iter": 20, "lr": 0.00768, "memory": 3660, "data_time": 0.11097, "loss": 0.15424, "time": 0.24698}
{"mode": "train", "epoch": 33, "iter": 40, "lr": 0.00768, "memory": 3660, "data_time": 0.00239, "loss": 0.15567, "time": 0.12191}
{"mode": "train", "epoch": 33, "iter": 60, "lr": 0.00768, "memory": 3660, "data_time": 0.00109, "loss": 0.16183, "time": 0.12562}
{"mode": "train", "epoch": 33, "iter": 80, "lr": 0.00768, "memory": 3660, "data_time": 0.00352, "loss": 0.14627, "time": 0.13231}
{"mode": "val", "epoch": 33, "iter": 91, "lr": 0.00768, "accuracy_top-1": 87.50432, "accuracy_top-5": 97.99793}
{"mode": "train", "epoch": 34, "iter": 20, "lr": 0.00755, "memory": 3660, "data_time": 0.10557, "loss": 0.13153, "time": 0.22822}
{"mode": "train", "epoch": 34, "iter": 40, "lr": 0.00755, "memory": 3660, "data_time": 0.00151, "loss": 0.13474, "time": 0.12269}
{"mode": "train", "epoch": 34, "iter": 60, "lr": 0.00755, "memory": 3660, "data_time": 0.00149, "loss": 0.16921, "time": 0.1252}
{"mode": "train", "epoch": 34, "iter": 80, "lr": 0.00755, "memory": 3660, "data_time": 0.00156, "loss": 0.17242, "time": 0.12071}
{"mode": "val", "epoch": 34, "iter": 91, "lr": 0.00755, "accuracy_top-1": 87.33173, "accuracy_top-5": 97.92889}
{"mode": "train", "epoch": 35, "iter": 20, "lr": 0.00741, "memory": 3660, "data_time": 0.11002, "loss": 0.14948, "time": 0.23322}
{"mode": "train", "epoch": 35, "iter": 40, "lr": 0.00741, "memory": 3660, "data_time": 0.00149, "loss": 0.13566, "time": 0.12363}
{"mode": "train", "epoch": 35, "iter": 60, "lr": 0.00741, "memory": 3660, "data_time": 0.00137, "loss": 0.12276, "time": 0.12168}
{"mode": "train", "epoch": 35, "iter": 80, "lr": 0.00741, "memory": 3660, "data_time": 0.0032, "loss": 0.15337, "time": 0.12345}
{"mode": "val", "epoch": 35, "iter": 91, "lr": 0.00741, "accuracy_top-1": 87.03832, "accuracy_top-5": 97.96342}
{"mode": "train", "epoch": 36, "iter": 20, "lr": 0.00727, "memory": 3660, "data_time": 0.11072, "loss": 0.14217, "time": 0.23144}
{"mode": "train", "epoch": 36, "iter": 40, "lr": 0.00727, "memory": 3660, "data_time": 0.0015, "loss": 0.13505, "time": 0.12222}
{"mode": "train", "epoch": 36, "iter": 60, "lr": 0.00727, "memory": 3660, "data_time": 0.00116, "loss": 0.13131, "time": 0.12999}
{"mode": "train", "epoch": 36, "iter": 80, "lr": 0.00727, "memory": 3660, "data_time": 0.00242, "loss": 0.13478, "time": 0.12479}
{"mode": "val", "epoch": 36, "iter": 91, "lr": 0.00727, "accuracy_top-1": 87.69417, "accuracy_top-5": 97.89438}
{"mode": "train", "epoch": 37, "iter": 20, "lr": 0.00713, "memory": 3660, "data_time": 0.10564, "loss": 0.12807, "time": 0.23087}
{"mode": "train", "epoch": 37, "iter": 40, "lr": 0.00713, "memory": 3660, "data_time": 0.00173, "loss": 0.13507, "time": 0.12219}
{"mode": "train", "epoch": 37, "iter": 60, "lr": 0.00713, "memory": 3660, "data_time": 0.00111, "loss": 0.1252, "time": 0.1252}
{"mode": "train", "epoch": 37, "iter": 80, "lr": 0.00713, "memory": 3660, "data_time": 0.00168, "loss": 0.13789, "time": 0.12953}
{"mode": "val", "epoch": 37, "iter": 91, "lr": 0.00713, "accuracy_top-1": 87.15913, "accuracy_top-5": 97.94616}
{"mode": "train", "epoch": 38, "iter": 20, "lr": 0.00699, "memory": 3660, "data_time": 0.10988, "loss": 0.12183, "time": 0.23114}
{"mode": "train", "epoch": 38, "iter": 40, "lr": 0.00699, "memory": 3660, "data_time": 0.0014, "loss": 0.11763, "time": 0.12925}
{"mode": "train", "epoch": 38, "iter": 60, "lr": 0.00699, "memory": 3660, "data_time": 0.00126, "loss": 0.14036, "time": 0.12238}
{"mode": "train", "epoch": 38, "iter": 80, "lr": 0.00699, "memory": 3660, "data_time": 0.00247, "loss": 0.12453, "time": 0.12631}
{"mode": "val", "epoch": 38, "iter": 91, "lr": 0.00699, "accuracy_top-1": 87.4698, "accuracy_top-5": 98.03246}
{"mode": "train", "epoch": 39, "iter": 20, "lr": 0.00684, "memory": 3660, "data_time": 0.10949, "loss": 0.12141, "time": 0.22841}
{"mode": "train", "epoch": 39, "iter": 40, "lr": 0.00684, "memory": 3660, "data_time": 0.00136, "loss": 0.12522, "time": 0.12567}
{"mode": "train", "epoch": 39, "iter": 60, "lr": 0.00684, "memory": 3660, "data_time": 0.00098, "loss": 0.12586, "time": 0.12846}
{"mode": "train", "epoch": 39, "iter": 80, "lr": 0.00684, "memory": 3660, "data_time": 0.00322, "loss": 0.12905, "time": 0.12251}
{"mode": "val", "epoch": 39, "iter": 91, "lr": 0.00684, "accuracy_top-1": 87.86676, "accuracy_top-5": 97.87712}
{"mode": "train", "epoch": 40, "iter": 20, "lr": 0.00669, "memory": 3660, "data_time": 0.1052, "loss": 0.10805, "time": 0.23046}
{"mode": "train", "epoch": 40, "iter": 40, "lr": 0.00669, "memory": 3660, "data_time": 0.00194, "loss": 0.10997, "time": 0.12243}
{"mode": "train", "epoch": 40, "iter": 60, "lr": 0.00669, "memory": 3660, "data_time": 0.00194, "loss": 0.11464, "time": 0.12165}
{"mode": "train", "epoch": 40, "iter": 80, "lr": 0.00669, "memory": 3660, "data_time": 0.00115, "loss": 0.11601, "time": 0.12267}
{"mode": "val", "epoch": 40, "iter": 91, "lr": 0.00669, "accuracy_top-1": 87.59061, "accuracy_top-5": 97.92889}
{"mode": "train", "epoch": 41, "iter": 20, "lr": 0.00655, "memory": 3660, "data_time": 0.10752, "loss": 0.10355, "time": 0.23231}
{"mode": "train", "epoch": 41, "iter": 40, "lr": 0.00655, "memory": 3660, "data_time": 0.00227, "loss": 0.11129, "time": 0.12924}
{"mode": "train", "epoch": 41, "iter": 60, "lr": 0.00655, "memory": 3660, "data_time": 0.00125, "loss": 0.10939, "time": 0.12185}
{"mode": "train", "epoch": 41, "iter": 80, "lr": 0.00655, "memory": 3660, "data_time": 0.00319, "loss": 0.11917, "time": 0.12939}
{"mode": "val", "epoch": 41, "iter": 91, "lr": 0.00655, "accuracy_top-1": 87.9358, "accuracy_top-5": 97.96342}
{"mode": "train", "epoch": 42, "iter": 20, "lr": 0.00639, "memory": 3660, "data_time": 0.12397, "loss": 0.11197, "time": 0.2527}
{"mode": "train", "epoch": 42, "iter": 40, "lr": 0.00639, "memory": 3660, "data_time": 0.00139, "loss": 0.10673, "time": 0.12066}
{"mode": "train", "epoch": 42, "iter": 60, "lr": 0.00639, "memory": 3660, "data_time": 0.00285, "loss": 0.11375, "time": 0.12639}
{"mode": "train", "epoch": 42, "iter": 80, "lr": 0.00639, "memory": 3660, "data_time": 0.00148, "loss": 0.12384, "time": 0.12905}
{"mode": "val", "epoch": 42, "iter": 91, "lr": 0.00639, "accuracy_top-1": 87.52158, "accuracy_top-5": 97.92889}
{"mode": "train", "epoch": 43, "iter": 20, "lr": 0.00624, "memory": 3660, "data_time": 0.11176, "loss": 0.10696, "time": 0.23326}
{"mode": "train", "epoch": 43, "iter": 40, "lr": 0.00624, "memory": 3660, "data_time": 0.00138, "loss": 0.10587, "time": 0.12539}
{"mode": "train", "epoch": 43, "iter": 60, "lr": 0.00624, "memory": 3660, "data_time": 0.00131, "loss": 0.1005, "time": 0.12478}
{"mode": "train", "epoch": 43, "iter": 80, "lr": 0.00624, "memory": 3660, "data_time": 0.00314, "loss": 0.11551, "time": 0.12406}
{"mode": "val", "epoch": 43, "iter": 91, "lr": 0.00624, "accuracy_top-1": 87.34898, "accuracy_top-5": 97.94616}
{"mode": "train", "epoch": 44, "iter": 20, "lr": 0.00609, "memory": 3660, "data_time": 0.11358, "loss": 0.11065, "time": 0.23632}
{"mode": "train", "epoch": 44, "iter": 40, "lr": 0.00609, "memory": 3660, "data_time": 0.00124, "loss": 0.1048, "time": 0.12123}
{"mode": "train", "epoch": 44, "iter": 60, "lr": 0.00609, "memory": 3660, "data_time": 0.00258, "loss": 0.10372, "time": 0.12592}
{"mode": "train", "epoch": 44, "iter": 80, "lr": 0.00609, "memory": 3660, "data_time": 0.00108, "loss": 0.10962, "time": 0.12396}
{"mode": "val", "epoch": 44, "iter": 91, "lr": 0.00609, "accuracy_top-1": 87.31447, "accuracy_top-5": 97.98067}
{"mode": "train", "epoch": 45, "iter": 20, "lr": 0.00594, "memory": 3660, "data_time": 0.11026, "loss": 0.1002, "time": 0.2302}
{"mode": "train", "epoch": 45, "iter": 40, "lr": 0.00594, "memory": 3660, "data_time": 0.00203, "loss": 0.09778, "time": 0.12168}
{"mode": "train", "epoch": 45, "iter": 60, "lr": 0.00594, "memory": 3660, "data_time": 0.00133, "loss": 0.10068, "time": 0.1298}
{"mode": "train", "epoch": 45, "iter": 80, "lr": 0.00594, "memory": 3660, "data_time": 0.00233, "loss": 0.10539, "time": 0.12308}
{"mode": "val", "epoch": 45, "iter": 91, "lr": 0.00594, "accuracy_top-1": 87.67691, "accuracy_top-5": 97.73904}
{"mode": "train", "epoch": 46, "iter": 20, "lr": 0.00578, "memory": 3660, "data_time": 0.108, "loss": 0.09981, "time": 0.22947}
{"mode": "train", "epoch": 46, "iter": 40, "lr": 0.00578, "memory": 3660, "data_time": 0.00184, "loss": 0.09718, "time": 0.12743}
{"mode": "train", "epoch": 46, "iter": 60, "lr": 0.00578, "memory": 3660, "data_time": 0.00104, "loss": 0.09058, "time": 0.12419}
{"mode": "train", "epoch": 46, "iter": 80, "lr": 0.00578, "memory": 3660, "data_time": 0.0031, "loss": 0.10168, "time": 0.12536}
{"mode": "val", "epoch": 46, "iter": 91, "lr": 0.00578, "accuracy_top-1": 87.8495, "accuracy_top-5": 97.87712}
{"mode": "train", "epoch": 47, "iter": 20, "lr": 0.00563, "memory": 3660, "data_time": 0.10815, "loss": 0.09429, "time": 0.22778}
{"mode": "train", "epoch": 47, "iter": 40, "lr": 0.00563, "memory": 3660, "data_time": 0.0013, "loss": 0.0996, "time": 0.13217}
{"mode": "train", "epoch": 47, "iter": 60, "lr": 0.00563, "memory": 3660, "data_time": 0.00227, "loss": 0.09543, "time": 0.12442}
{"mode": "train", "epoch": 47, "iter": 80, "lr": 0.00563, "memory": 3660, "data_time": 0.00141, "loss": 0.09261, "time": 0.12568}
{"mode": "val", "epoch": 47, "iter": 91, "lr": 0.00563, "accuracy_top-1": 87.81499, "accuracy_top-5": 97.8426}
{"mode": "train", "epoch": 48, "iter": 20, "lr": 0.00547, "memory": 3660, "data_time": 0.11029, "loss": 0.09504, "time": 0.23491}
{"mode": "train", "epoch": 48, "iter": 40, "lr": 0.00547, "memory": 3660, "data_time": 0.00152, "loss": 0.09197, "time": 0.12318}
{"mode": "train", "epoch": 48, "iter": 60, "lr": 0.00547, "memory": 3660, "data_time": 0.00102, "loss": 0.09304, "time": 0.12516}
{"mode": "train", "epoch": 48, "iter": 80, "lr": 0.00547, "memory": 3660, "data_time": 0.00268, "loss": 0.09279, "time": 0.13206}
{"mode": "val", "epoch": 48, "iter": 91, "lr": 0.00547, "accuracy_top-1": 87.91854, "accuracy_top-5": 97.98067}
{"mode": "train", "epoch": 49, "iter": 20, "lr": 0.00531, "memory": 3660, "data_time": 0.1118, "loss": 0.09037, "time": 0.23234}
{"mode": "train", "epoch": 49, "iter": 40, "lr": 0.00531, "memory": 3660, "data_time": 0.00119, "loss": 0.08344, "time": 0.12648}
{"mode": "train", "epoch": 49, "iter": 60, "lr": 0.00531, "memory": 3660, "data_time": 0.00113, "loss": 0.08257, "time": 0.12723}
{"mode": "train", "epoch": 49, "iter": 80, "lr": 0.00531, "memory": 3660, "data_time": 0.00257, "loss": 0.1046, "time": 0.12609}
{"mode": "val", "epoch": 49, "iter": 91, "lr": 0.00531, "accuracy_top-1": 87.91854, "accuracy_top-5": 97.94616}
{"mode": "train", "epoch": 50, "iter": 20, "lr": 0.00516, "memory": 3660, "data_time": 0.11152, "loss": 0.08638, "time": 0.25123}
{"mode": "train", "epoch": 50, "iter": 40, "lr": 0.00516, "memory": 3660, "data_time": 0.00213, "loss": 0.08361, "time": 0.12425}
{"mode": "train", "epoch": 50, "iter": 60, "lr": 0.00516, "memory": 3660, "data_time": 0.00104, "loss": 0.09193, "time": 0.12461}
{"mode": "train", "epoch": 50, "iter": 80, "lr": 0.00516, "memory": 3660, "data_time": 0.0039, "loss": 0.08959, "time": 0.12566}
{"mode": "val", "epoch": 50, "iter": 91, "lr": 0.00516, "accuracy_top-1": 87.83224, "accuracy_top-5": 97.85986}
{"mode": "train", "epoch": 51, "iter": 20, "lr": 0.005, "memory": 3660, "data_time": 0.10903, "loss": 0.08095, "time": 0.22968}
{"mode": "train", "epoch": 51, "iter": 40, "lr": 0.005, "memory": 3660, "data_time": 0.00162, "loss": 0.10569, "time": 0.12464}
{"mode": "train", "epoch": 51, "iter": 60, "lr": 0.005, "memory": 3660, "data_time": 0.0012, "loss": 0.08825, "time": 0.1255}
{"mode": "train", "epoch": 51, "iter": 80, "lr": 0.005, "memory": 3660, "data_time": 0.00316, "loss": 0.09554, "time": 0.12257}
{"mode": "val", "epoch": 51, "iter": 91, "lr": 0.005, "accuracy_top-1": 87.97032, "accuracy_top-5": 97.96342}
{"mode": "train", "epoch": 52, "iter": 20, "lr": 0.00484, "memory": 3660, "data_time": 0.10667, "loss": 0.07959, "time": 0.22651}
{"mode": "train", "epoch": 52, "iter": 40, "lr": 0.00484, "memory": 3660, "data_time": 0.00172, "loss": 0.08392, "time": 0.12753}
{"mode": "train", "epoch": 52, "iter": 60, "lr": 0.00484, "memory": 3660, "data_time": 0.00103, "loss": 0.08456, "time": 0.12233}
{"mode": "train", "epoch": 52, "iter": 80, "lr": 0.00484, "memory": 3660, "data_time": 0.0023, "loss": 0.08554, "time": 0.12354}
{"mode": "val", "epoch": 52, "iter": 91, "lr": 0.00484, "accuracy_top-1": 87.91854, "accuracy_top-5": 97.80808}
{"mode": "train", "epoch": 53, "iter": 20, "lr": 0.00469, "memory": 3660, "data_time": 0.10828, "loss": 0.07916, "time": 0.23212}
{"mode": "train", "epoch": 53, "iter": 40, "lr": 0.00469, "memory": 3660, "data_time": 0.00129, "loss": 0.07719, "time": 0.12339}
{"mode": "train", "epoch": 53, "iter": 60, "lr": 0.00469, "memory": 3660, "data_time": 0.00094, "loss": 0.08666, "time": 0.12327}
{"mode": "train", "epoch": 53, "iter": 80, "lr": 0.00469, "memory": 3660, "data_time": 0.00247, "loss": 0.08379, "time": 0.12283}
{"mode": "val", "epoch": 53, "iter": 91, "lr": 0.00469, "accuracy_top-1": 88.05662, "accuracy_top-5": 97.91164}
{"mode": "train", "epoch": 54, "iter": 20, "lr": 0.00453, "memory": 3660, "data_time": 0.10586, "loss": 0.08249, "time": 0.22761}
{"mode": "train", "epoch": 54, "iter": 40, "lr": 0.00453, "memory": 3660, "data_time": 0.00125, "loss": 0.08644, "time": 0.12106}
{"mode": "train", "epoch": 54, "iter": 60, "lr": 0.00453, "memory": 3660, "data_time": 0.00091, "loss": 0.0782, "time": 0.12311}
{"mode": "train", "epoch": 54, "iter": 80, "lr": 0.00453, "memory": 3660, "data_time": 0.00184, "loss": 0.08521, "time": 0.12468}
{"mode": "val", "epoch": 54, "iter": 91, "lr": 0.00453, "accuracy_top-1": 88.00484, "accuracy_top-5": 97.99793}
{"mode": "train", "epoch": 55, "iter": 20, "lr": 0.00437, "memory": 3660, "data_time": 0.10831, "loss": 0.07461, "time": 0.22992}
{"mode": "train", "epoch": 55, "iter": 40, "lr": 0.00437, "memory": 3660, "data_time": 0.00125, "loss": 0.07525, "time": 0.12268}
{"mode": "train", "epoch": 55, "iter": 60, "lr": 0.00437, "memory": 3660, "data_time": 0.00698, "loss": 0.08912, "time": 0.12795}
{"mode": "train", "epoch": 55, "iter": 80, "lr": 0.00437, "memory": 3660, "data_time": 0.00239, "loss": 0.0913, "time": 0.12333}
{"mode": "val", "epoch": 55, "iter": 91, "lr": 0.00437, "accuracy_top-1": 87.65965, "accuracy_top-5": 97.98067}
{"mode": "train", "epoch": 56, "iter": 20, "lr": 0.00422, "memory": 3660, "data_time": 0.11247, "loss": 0.08009, "time": 0.23209}
{"mode": "train", "epoch": 56, "iter": 40, "lr": 0.00422, "memory": 3660, "data_time": 0.0013, "loss": 0.08935, "time": 0.12397}
{"mode": "train", "epoch": 56, "iter": 60, "lr": 0.00422, "memory": 3660, "data_time": 0.00101, "loss": 0.07599, "time": 0.12615}
{"mode": "train", "epoch": 56, "iter": 80, "lr": 0.00422, "memory": 3660, "data_time": 0.0022, "loss": 0.07532, "time": 0.12534}
{"mode": "val", "epoch": 56, "iter": 91, "lr": 0.00422, "accuracy_top-1": 87.67691, "accuracy_top-5": 97.91164}
{"mode": "train", "epoch": 57, "iter": 20, "lr": 0.00406, "memory": 3660, "data_time": 0.11315, "loss": 0.07493, "time": 0.24017}
{"mode": "train", "epoch": 57, "iter": 40, "lr": 0.00406, "memory": 3660, "data_time": 0.00202, "loss": 0.07484, "time": 0.12247}
{"mode": "train", "epoch": 57, "iter": 60, "lr": 0.00406, "memory": 3660, "data_time": 0.00102, "loss": 0.08157, "time": 0.12667}
{"mode": "train", "epoch": 57, "iter": 80, "lr": 0.00406, "memory": 3660, "data_time": 0.00347, "loss": 0.07561, "time": 0.12538}
{"mode": "val", "epoch": 57, "iter": 91, "lr": 0.00406, "accuracy_top-1": 88.17743, "accuracy_top-5": 97.99793}
{"mode": "train", "epoch": 58, "iter": 20, "lr": 0.00391, "memory": 3660, "data_time": 0.10571, "loss": 0.08099, "time": 0.23099}
{"mode": "train", "epoch": 58, "iter": 40, "lr": 0.00391, "memory": 3660, "data_time": 0.00199, "loss": 0.07201, "time": 0.1236}
{"mode": "train", "epoch": 58, "iter": 60, "lr": 0.00391, "memory": 3660, "data_time": 0.00103, "loss": 0.07619, "time": 0.12412}
{"mode": "train", "epoch": 58, "iter": 80, "lr": 0.00391, "memory": 3660, "data_time": 0.00218, "loss": 0.08674, "time": 0.12796}
{"mode": "val", "epoch": 58, "iter": 91, "lr": 0.00391, "accuracy_top-1": 88.26373, "accuracy_top-5": 97.92889}
{"mode": "train", "epoch": 59, "iter": 20, "lr": 0.00376, "memory": 3660, "data_time": 0.10538, "loss": 0.0821, "time": 0.22534}
{"mode": "train", "epoch": 59, "iter": 40, "lr": 0.00376, "memory": 3660, "data_time": 0.00164, "loss": 0.08166, "time": 0.12197}
{"mode": "train", "epoch": 59, "iter": 60, "lr": 0.00376, "memory": 3660, "data_time": 0.00112, "loss": 0.07878, "time": 0.13433}
{"mode": "train", "epoch": 59, "iter": 80, "lr": 0.00376, "memory": 3660, "data_time": 0.00165, "loss": 0.07428, "time": 0.12176}
{"mode": "val", "epoch": 59, "iter": 91, "lr": 0.00376, "accuracy_top-1": 88.05662, "accuracy_top-5": 97.82534}
{"mode": "train", "epoch": 60, "iter": 20, "lr": 0.00361, "memory": 3660, "data_time": 0.10838, "loss": 0.07885, "time": 0.22994}
{"mode": "train", "epoch": 60, "iter": 40, "lr": 0.00361, "memory": 3660, "data_time": 0.00144, "loss": 0.07503, "time": 0.12358}
{"mode": "train", "epoch": 60, "iter": 60, "lr": 0.00361, "memory": 3660, "data_time": 0.00097, "loss": 0.08102, "time": 0.12622}
{"mode": "train", "epoch": 60, "iter": 80, "lr": 0.00361, "memory": 3660, "data_time": 0.003, "loss": 0.07833, "time": 0.12186}
{"mode": "val", "epoch": 60, "iter": 91, "lr": 0.00361, "accuracy_top-1": 88.07388, "accuracy_top-5": 97.87712}
{"mode": "train", "epoch": 61, "iter": 20, "lr": 0.00345, "memory": 3660, "data_time": 0.10921, "loss": 0.07748, "time": 0.23118}
{"mode": "train", "epoch": 61, "iter": 40, "lr": 0.00345, "memory": 3660, "data_time": 0.00121, "loss": 0.07075, "time": 0.13167}
{"mode": "train", "epoch": 61, "iter": 60, "lr": 0.00345, "memory": 3660, "data_time": 0.00236, "loss": 0.06825, "time": 0.1223}
{"mode": "train", "epoch": 61, "iter": 80, "lr": 0.00345, "memory": 3660, "data_time": 0.00098, "loss": 0.08609, "time": 0.12592}
{"mode": "val", "epoch": 61, "iter": 91, "lr": 0.00345, "accuracy_top-1": 88.12565, "accuracy_top-5": 97.8426}
{"mode": "train", "epoch": 62, "iter": 20, "lr": 0.00331, "memory": 3660, "data_time": 0.10955, "loss": 0.07251, "time": 0.23045}
{"mode": "train", "epoch": 62, "iter": 40, "lr": 0.00331, "memory": 3660, "data_time": 0.00153, "loss": 0.08176, "time": 0.13042}
{"mode": "train", "epoch": 62, "iter": 60, "lr": 0.00331, "memory": 3660, "data_time": 0.00125, "loss": 0.06652, "time": 0.12745}
{"mode": "train", "epoch": 62, "iter": 80, "lr": 0.00331, "memory": 3660, "data_time": 0.00306, "loss": 0.07874, "time": 0.12244}
{"mode": "val", "epoch": 62, "iter": 91, "lr": 0.00331, "accuracy_top-1": 88.16017, "accuracy_top-5": 97.92889}
{"mode": "train", "epoch": 63, "iter": 20, "lr": 0.00316, "memory": 3660, "data_time": 0.11375, "loss": 0.07004, "time": 0.25365}
{"mode": "train", "epoch": 63, "iter": 40, "lr": 0.00316, "memory": 3660, "data_time": 0.00201, "loss": 0.07587, "time": 0.13161}
{"mode": "train", "epoch": 63, "iter": 60, "lr": 0.00316, "memory": 3660, "data_time": 0.00106, "loss": 0.08225, "time": 0.12148}
{"mode": "train", "epoch": 63, "iter": 80, "lr": 0.00316, "memory": 3660, "data_time": 0.00411, "loss": 0.07717, "time": 0.12572}
{"mode": "val", "epoch": 63, "iter": 91, "lr": 0.00316, "accuracy_top-1": 88.22921, "accuracy_top-5": 97.92889}
{"mode": "train", "epoch": 64, "iter": 20, "lr": 0.00301, "memory": 3660, "data_time": 0.11108, "loss": 0.07537, "time": 0.23682}
{"mode": "train", "epoch": 64, "iter": 40, "lr": 0.00301, "memory": 3660, "data_time": 0.00247, "loss": 0.07304, "time": 0.12199}
{"mode": "train", "epoch": 64, "iter": 60, "lr": 0.00301, "memory": 3660, "data_time": 0.00231, "loss": 0.06253, "time": 0.12417}
{"mode": "train", "epoch": 64, "iter": 80, "lr": 0.00301, "memory": 3660, "data_time": 0.00098, "loss": 0.06689, "time": 0.12602}
{"mode": "val", "epoch": 64, "iter": 91, "lr": 0.00301, "accuracy_top-1": 88.10839, "accuracy_top-5": 97.79082}
{"mode": "train", "epoch": 65, "iter": 20, "lr": 0.00287, "memory": 3660, "data_time": 0.10891, "loss": 0.06577, "time": 0.2338}
{"mode": "train", "epoch": 65, "iter": 40, "lr": 0.00287, "memory": 3660, "data_time": 0.00139, "loss": 0.07164, "time": 0.12781}
{"mode": "train", "epoch": 65, "iter": 60, "lr": 0.00287, "memory": 3660, "data_time": 0.00094, "loss": 0.06721, "time": 0.12278}
{"mode": "train", "epoch": 65, "iter": 80, "lr": 0.00287, "memory": 3660, "data_time": 0.0024, "loss": 0.07544, "time": 0.12487}
{"mode": "val", "epoch": 65, "iter": 91, "lr": 0.00287, "accuracy_top-1": 88.10839, "accuracy_top-5": 97.89438}
{"mode": "train", "epoch": 66, "iter": 20, "lr": 0.00273, "memory": 3660, "data_time": 0.11128, "loss": 0.06631, "time": 0.23192}
{"mode": "train", "epoch": 66, "iter": 40, "lr": 0.00273, "memory": 3660, "data_time": 0.00136, "loss": 0.07159, "time": 0.12461}
{"mode": "train", "epoch": 66, "iter": 60, "lr": 0.00273, "memory": 3660, "data_time": 0.00103, "loss": 0.07124, "time": 0.12524}
{"mode": "train", "epoch": 66, "iter": 80, "lr": 0.00273, "memory": 3660, "data_time": 0.00225, "loss": 0.07424, "time": 0.12216}
{"mode": "val", "epoch": 66, "iter": 91, "lr": 0.00273, "accuracy_top-1": 87.98758, "accuracy_top-5": 97.89438}
{"mode": "train", "epoch": 67, "iter": 20, "lr": 0.00259, "memory": 3660, "data_time": 0.11406, "loss": 0.06908, "time": 0.25509}
{"mode": "train", "epoch": 67, "iter": 40, "lr": 0.00259, "memory": 3660, "data_time": 0.00169, "loss": 0.06804, "time": 0.12854}
{"mode": "train", "epoch": 67, "iter": 60, "lr": 0.00259, "memory": 3660, "data_time": 0.00105, "loss": 0.06652, "time": 0.12194}
{"mode": "train", "epoch": 67, "iter": 80, "lr": 0.00259, "memory": 3660, "data_time": 0.00397, "loss": 0.06347, "time": 0.12426}
{"mode": "val", "epoch": 67, "iter": 91, "lr": 0.00259, "accuracy_top-1": 87.9358, "accuracy_top-5": 97.89438}
{"mode": "train", "epoch": 68, "iter": 20, "lr": 0.00245, "memory": 3660, "data_time": 0.1225, "loss": 0.07583, "time": 0.24725}
{"mode": "train", "epoch": 68, "iter": 40, "lr": 0.00245, "memory": 3660, "data_time": 0.00119, "loss": 0.06334, "time": 0.13128}
{"mode": "train", "epoch": 68, "iter": 60, "lr": 0.00245, "memory": 3660, "data_time": 0.00519, "loss": 0.06611, "time": 0.12565}
{"mode": "train", "epoch": 68, "iter": 80, "lr": 0.00245, "memory": 3660, "data_time": 0.00458, "loss": 0.07308, "time": 0.14074}
{"mode": "val", "epoch": 68, "iter": 91, "lr": 0.00245, "accuracy_top-1": 88.12565, "accuracy_top-5": 97.91164}
{"mode": "train", "epoch": 69, "iter": 20, "lr": 0.00232, "memory": 3660, "data_time": 0.10917, "loss": 0.05937, "time": 0.24209}
{"mode": "train", "epoch": 69, "iter": 40, "lr": 0.00232, "memory": 3660, "data_time": 0.00125, "loss": 0.06111, "time": 0.12904}
{"mode": "train", "epoch": 69, "iter": 60, "lr": 0.00232, "memory": 3660, "data_time": 0.00102, "loss": 0.06687, "time": 0.12486}
{"mode": "train", "epoch": 69, "iter": 80, "lr": 0.00232, "memory": 3660, "data_time": 0.00315, "loss": 0.06556, "time": 0.13371}
{"mode": "val", "epoch": 69, "iter": 91, "lr": 0.00232, "accuracy_top-1": 87.97032, "accuracy_top-5": 97.94616}
{"mode": "train", "epoch": 70, "iter": 20, "lr": 0.00219, "memory": 3660, "data_time": 0.11266, "loss": 0.07021, "time": 0.233}
{"mode": "train", "epoch": 70, "iter": 40, "lr": 0.00219, "memory": 3660, "data_time": 0.00143, "loss": 0.06791, "time": 0.13249}
{"mode": "train", "epoch": 70, "iter": 60, "lr": 0.00219, "memory": 3660, "data_time": 0.00101, "loss": 0.08558, "time": 0.12719}
{"mode": "train", "epoch": 70, "iter": 80, "lr": 0.00219, "memory": 3660, "data_time": 0.00235, "loss": 0.07743, "time": 0.12354}
{"mode": "val", "epoch": 70, "iter": 91, "lr": 0.00219, "accuracy_top-1": 88.09113, "accuracy_top-5": 97.89438}
{"mode": "train", "epoch": 71, "iter": 20, "lr": 0.00206, "memory": 3660, "data_time": 0.10778, "loss": 0.06979, "time": 0.23505}
{"mode": "train", "epoch": 71, "iter": 40, "lr": 0.00206, "memory": 3660, "data_time": 0.00138, "loss": 0.07207, "time": 0.12224}
{"mode": "train", "epoch": 71, "iter": 60, "lr": 0.00206, "memory": 3660, "data_time": 0.0019, "loss": 0.06602, "time": 0.12994}
{"mode": "train", "epoch": 71, "iter": 80, "lr": 0.00206, "memory": 3660, "data_time": 0.00239, "loss": 0.06957, "time": 0.12342}
{"mode": "val", "epoch": 71, "iter": 91, "lr": 0.00206, "accuracy_top-1": 88.43632, "accuracy_top-5": 97.91164}
{"mode": "train", "epoch": 72, "iter": 20, "lr": 0.00194, "memory": 3660, "data_time": 0.10639, "loss": 0.0644, "time": 0.23491}
{"mode": "train", "epoch": 72, "iter": 40, "lr": 0.00194, "memory": 3660, "data_time": 0.00101, "loss": 0.06728, "time": 0.12124}
{"mode": "train", "epoch": 72, "iter": 60, "lr": 0.00194, "memory": 3660, "data_time": 0.00112, "loss": 0.05708, "time": 0.12447}
{"mode": "train", "epoch": 72, "iter": 80, "lr": 0.00194, "memory": 3660, "data_time": 0.00328, "loss": 0.07005, "time": 0.13127}
{"mode": "val", "epoch": 72, "iter": 91, "lr": 0.00194, "accuracy_top-1": 88.03935, "accuracy_top-5": 97.85986}
{"mode": "train", "epoch": 73, "iter": 20, "lr": 0.00181, "memory": 3660, "data_time": 0.11022, "loss": 0.07234, "time": 0.23081}
{"mode": "train", "epoch": 73, "iter": 40, "lr": 0.00181, "memory": 3660, "data_time": 0.0015, "loss": 0.06553, "time": 0.12108}
{"mode": "train", "epoch": 73, "iter": 60, "lr": 0.00181, "memory": 3660, "data_time": 0.00112, "loss": 0.06704, "time": 0.12514}
{"mode": "train", "epoch": 73, "iter": 80, "lr": 0.00181, "memory": 3660, "data_time": 0.00308, "loss": 0.05748, "time": 0.1249}
{"mode": "val", "epoch": 73, "iter": 91, "lr": 0.00181, "accuracy_top-1": 87.97032, "accuracy_top-5": 97.99793}
{"mode": "train", "epoch": 74, "iter": 20, "lr": 0.00169, "memory": 3660, "data_time": 0.1102, "loss": 0.05691, "time": 0.23199}
{"mode": "train", "epoch": 74, "iter": 40, "lr": 0.00169, "memory": 3660, "data_time": 0.00117, "loss": 0.06252, "time": 0.12228}
{"mode": "train", "epoch": 74, "iter": 60, "lr": 0.00169, "memory": 3660, "data_time": 0.0028, "loss": 0.06396, "time": 0.12344}
{"mode": "train", "epoch": 74, "iter": 80, "lr": 0.00169, "memory": 3660, "data_time": 0.0011, "loss": 0.06856, "time": 0.12106}
{"mode": "val", "epoch": 74, "iter": 91, "lr": 0.00169, "accuracy_top-1": 88.29824, "accuracy_top-5": 98.01519}
{"mode": "train", "epoch": 75, "iter": 20, "lr": 0.00158, "memory": 3660, "data_time": 0.10961, "loss": 0.07143, "time": 0.233}
{"mode": "train", "epoch": 75, "iter": 40, "lr": 0.00158, "memory": 3660, "data_time": 0.00149, "loss": 0.05983, "time": 0.12305}
{"mode": "train", "epoch": 75, "iter": 60, "lr": 0.00158, "memory": 3660, "data_time": 0.00248, "loss": 0.05888, "time": 0.12485}
{"mode": "train", "epoch": 75, "iter": 80, "lr": 0.00158, "memory": 3660, "data_time": 0.00101, "loss": 0.0627, "time": 0.12587}
{"mode": "val", "epoch": 75, "iter": 91, "lr": 0.00158, "accuracy_top-1": 88.09113, "accuracy_top-5": 97.89438}
{"mode": "train", "epoch": 76, "iter": 20, "lr": 0.00146, "memory": 3660, "data_time": 0.10707, "loss": 0.06719, "time": 0.23526}
{"mode": "train", "epoch": 76, "iter": 40, "lr": 0.00146, "memory": 3660, "data_time": 0.00135, "loss": 0.0706, "time": 0.1252}
{"mode": "train", "epoch": 76, "iter": 60, "lr": 0.00146, "memory": 3660, "data_time": 0.00101, "loss": 0.06581, "time": 0.12546}
{"mode": "train", "epoch": 76, "iter": 80, "lr": 0.00146, "memory": 3660, "data_time": 0.00239, "loss": 0.06866, "time": 0.12786}
{"mode": "val", "epoch": 76, "iter": 91, "lr": 0.00146, "accuracy_top-1": 88.17743, "accuracy_top-5": 97.82534}
{"mode": "train", "epoch": 77, "iter": 20, "lr": 0.00136, "memory": 3660, "data_time": 0.10711, "loss": 0.05924, "time": 0.22903}
{"mode": "train", "epoch": 77, "iter": 40, "lr": 0.00136, "memory": 3660, "data_time": 0.00138, "loss": 0.06435, "time": 0.12398}
{"mode": "train", "epoch": 77, "iter": 60, "lr": 0.00136, "memory": 3660, "data_time": 0.00128, "loss": 0.05905, "time": 0.12786}
{"mode": "train", "epoch": 77, "iter": 80, "lr": 0.00136, "memory": 3660, "data_time": 0.00246, "loss": 0.0639, "time": 0.13086}
{"mode": "val", "epoch": 77, "iter": 91, "lr": 0.00136, "accuracy_top-1": 88.24647, "accuracy_top-5": 98.01519}
{"mode": "train", "epoch": 78, "iter": 20, "lr": 0.00125, "memory": 3660, "data_time": 0.10993, "loss": 0.06177, "time": 0.23012}
{"mode": "train", "epoch": 78, "iter": 40, "lr": 0.00125, "memory": 3660, "data_time": 0.00225, "loss": 0.06464, "time": 0.12164}
{"mode": "train", "epoch": 78, "iter": 60, "lr": 0.00125, "memory": 3660, "data_time": 0.00398, "loss": 0.05695, "time": 0.13031}
{"mode": "train", "epoch": 78, "iter": 80, "lr": 0.00125, "memory": 3660, "data_time": 0.00274, "loss": 0.06273, "time": 0.12307}
{"mode": "val", "epoch": 78, "iter": 91, "lr": 0.00125, "accuracy_top-1": 88.12565, "accuracy_top-5": 98.01519}
{"mode": "train", "epoch": 79, "iter": 20, "lr": 0.00115, "memory": 3660, "data_time": 0.11076, "loss": 0.07117, "time": 0.23334}
{"mode": "train", "epoch": 79, "iter": 40, "lr": 0.00115, "memory": 3660, "data_time": 0.00136, "loss": 0.06459, "time": 0.12468}
{"mode": "train", "epoch": 79, "iter": 60, "lr": 0.00115, "memory": 3660, "data_time": 0.00206, "loss": 0.06629, "time": 0.12169}
{"mode": "train", "epoch": 79, "iter": 80, "lr": 0.00115, "memory": 3660, "data_time": 0.0012, "loss": 0.0589, "time": 0.12261}
{"mode": "val", "epoch": 79, "iter": 91, "lr": 0.00115, "accuracy_top-1": 88.24647, "accuracy_top-5": 97.91164}
{"mode": "train", "epoch": 80, "iter": 20, "lr": 0.00105, "memory": 3660, "data_time": 0.1062, "loss": 0.06057, "time": 0.23026}
{"mode": "train", "epoch": 80, "iter": 40, "lr": 0.00105, "memory": 3660, "data_time": 0.00137, "loss": 0.06475, "time": 0.12233}
{"mode": "train", "epoch": 80, "iter": 60, "lr": 0.00105, "memory": 3660, "data_time": 0.0013, "loss": 0.07121, "time": 0.12495}
{"mode": "train", "epoch": 80, "iter": 80, "lr": 0.00105, "memory": 3660, "data_time": 0.00375, "loss": 0.0618, "time": 0.13007}
{"mode": "val", "epoch": 80, "iter": 91, "lr": 0.00105, "accuracy_top-1": 88.36728, "accuracy_top-5": 97.87712}
{"mode": "train", "epoch": 81, "iter": 20, "lr": 0.00095, "memory": 3660, "data_time": 0.11418, "loss": 0.05906, "time": 0.24702}
{"mode": "train", "epoch": 81, "iter": 40, "lr": 0.00095, "memory": 3660, "data_time": 0.00127, "loss": 0.05357, "time": 0.12759}
{"mode": "train", "epoch": 81, "iter": 60, "lr": 0.00095, "memory": 3660, "data_time": 0.00259, "loss": 0.05988, "time": 0.12399}
{"mode": "train", "epoch": 81, "iter": 80, "lr": 0.00095, "memory": 3660, "data_time": 0.00181, "loss": 0.06517, "time": 0.12657}
{"mode": "val", "epoch": 81, "iter": 91, "lr": 0.00095, "accuracy_top-1": 88.45358, "accuracy_top-5": 97.79082}
{"mode": "train", "epoch": 82, "iter": 20, "lr": 0.00086, "memory": 3660, "data_time": 0.10539, "loss": 0.05867, "time": 0.22497}
{"mode": "train", "epoch": 82, "iter": 40, "lr": 0.00086, "memory": 3660, "data_time": 0.00159, "loss": 0.05704, "time": 0.1282}
{"mode": "train", "epoch": 82, "iter": 60, "lr": 0.00086, "memory": 3660, "data_time": 0.00101, "loss": 0.06416, "time": 0.12312}
{"mode": "train", "epoch": 82, "iter": 80, "lr": 0.00086, "memory": 3660, "data_time": 0.00176, "loss": 0.06565, "time": 0.1232}
{"mode": "val", "epoch": 82, "iter": 91, "lr": 0.00086, "accuracy_top-1": 88.07388, "accuracy_top-5": 97.87712}
{"mode": "train", "epoch": 83, "iter": 20, "lr": 0.00078, "memory": 3660, "data_time": 0.11319, "loss": 0.06053, "time": 0.2423}
{"mode": "train", "epoch": 83, "iter": 40, "lr": 0.00078, "memory": 3660, "data_time": 0.0013, "loss": 0.06785, "time": 0.12053}
{"mode": "train", "epoch": 83, "iter": 60, "lr": 0.00078, "memory": 3660, "data_time": 0.00238, "loss": 0.06131, "time": 0.12666}
{"mode": "train", "epoch": 83, "iter": 80, "lr": 0.00078, "memory": 3660, "data_time": 0.00131, "loss": 0.0642, "time": 0.12742}
{"mode": "val", "epoch": 83, "iter": 91, "lr": 0.00078, "accuracy_top-1": 88.17743, "accuracy_top-5": 97.82534}
{"mode": "train", "epoch": 84, "iter": 20, "lr": 0.0007, "memory": 3660, "data_time": 0.11032, "loss": 0.06477, "time": 0.2307}
{"mode": "train", "epoch": 84, "iter": 40, "lr": 0.0007, "memory": 3660, "data_time": 0.00196, "loss": 0.06214, "time": 0.12204}
{"mode": "train", "epoch": 84, "iter": 60, "lr": 0.0007, "memory": 3660, "data_time": 0.00105, "loss": 0.0589, "time": 0.13202}
{"mode": "train", "epoch": 84, "iter": 80, "lr": 0.0007, "memory": 3660, "data_time": 0.00166, "loss": 0.06516, "time": 0.12134}
{"mode": "val", "epoch": 84, "iter": 91, "lr": 0.0007, "accuracy_top-1": 88.16017, "accuracy_top-5": 97.72179}
{"mode": "train", "epoch": 85, "iter": 20, "lr": 0.00062, "memory": 3660, "data_time": 0.11237, "loss": 0.06134, "time": 0.24126}
{"mode": "train", "epoch": 85, "iter": 40, "lr": 0.00062, "memory": 3660, "data_time": 0.00188, "loss": 0.06115, "time": 0.12394}
{"mode": "train", "epoch": 85, "iter": 60, "lr": 0.00062, "memory": 3660, "data_time": 0.00092, "loss": 0.06625, "time": 0.12035}
{"mode": "train", "epoch": 85, "iter": 80, "lr": 0.00062, "memory": 3660, "data_time": 0.00289, "loss": 0.06282, "time": 0.12893}
{"mode": "val", "epoch": 85, "iter": 91, "lr": 0.00062, "accuracy_top-1": 88.26373, "accuracy_top-5": 97.89438}
{"mode": "train", "epoch": 86, "iter": 20, "lr": 0.00054, "memory": 3660, "data_time": 0.11321, "loss": 0.06382, "time": 0.23419}
{"mode": "train", "epoch": 86, "iter": 40, "lr": 0.00054, "memory": 3660, "data_time": 0.00144, "loss": 0.07042, "time": 0.12884}
{"mode": "train", "epoch": 86, "iter": 60, "lr": 0.00054, "memory": 3660, "data_time": 0.00133, "loss": 0.06326, "time": 0.12362}
{"mode": "train", "epoch": 86, "iter": 80, "lr": 0.00054, "memory": 3660, "data_time": 0.0034, "loss": 0.06783, "time": 0.12565}
{"mode": "val", "epoch": 86, "iter": 91, "lr": 0.00054, "accuracy_top-1": 88.07388, "accuracy_top-5": 97.94616}
{"mode": "train", "epoch": 87, "iter": 20, "lr": 0.00048, "memory": 3660, "data_time": 0.11073, "loss": 0.06645, "time": 0.23287}
{"mode": "train", "epoch": 87, "iter": 40, "lr": 0.00048, "memory": 3660, "data_time": 0.00123, "loss": 0.0549, "time": 0.12514}
{"mode": "train", "epoch": 87, "iter": 60, "lr": 0.00048, "memory": 3660, "data_time": 0.00149, "loss": 0.05632, "time": 0.12337}
{"mode": "train", "epoch": 87, "iter": 80, "lr": 0.00048, "memory": 3660, "data_time": 0.00262, "loss": 0.0573, "time": 0.12258}
{"mode": "val", "epoch": 87, "iter": 91, "lr": 0.00048, "accuracy_top-1": 88.14291, "accuracy_top-5": 97.80808}
{"mode": "train", "epoch": 88, "iter": 20, "lr": 0.00041, "memory": 3660, "data_time": 0.11051, "loss": 0.05707, "time": 0.23239}
{"mode": "train", "epoch": 88, "iter": 40, "lr": 0.00041, "memory": 3660, "data_time": 0.00137, "loss": 0.06006, "time": 0.12388}
{"mode": "train", "epoch": 88, "iter": 60, "lr": 0.00041, "memory": 3660, "data_time": 0.00126, "loss": 0.06271, "time": 0.12295}
{"mode": "train", "epoch": 88, "iter": 80, "lr": 0.00041, "memory": 3660, "data_time": 0.00328, "loss": 0.06072, "time": 0.12619}
{"mode": "val", "epoch": 88, "iter": 91, "lr": 0.00041, "accuracy_top-1": 88.43632, "accuracy_top-5": 97.91164}
{"mode": "train", "epoch": 89, "iter": 20, "lr": 0.00035, "memory": 3660, "data_time": 0.11082, "loss": 0.06217, "time": 0.25417}
{"mode": "train", "epoch": 89, "iter": 40, "lr": 0.00035, "memory": 3660, "data_time": 0.00201, "loss": 0.06007, "time": 0.12158}
{"mode": "train", "epoch": 89, "iter": 60, "lr": 0.00035, "memory": 3660, "data_time": 0.00162, "loss": 0.06555, "time": 0.12537}
{"mode": "train", "epoch": 89, "iter": 80, "lr": 0.00035, "memory": 3660, "data_time": 0.00413, "loss": 0.05985, "time": 0.12789}
{"mode": "val", "epoch": 89, "iter": 91, "lr": 0.00035, "accuracy_top-1": 88.29824, "accuracy_top-5": 97.79082}
{"mode": "train", "epoch": 90, "iter": 20, "lr": 0.0003, "memory": 3660, "data_time": 0.10868, "loss": 0.05572, "time": 0.23026}
{"mode": "train", "epoch": 90, "iter": 40, "lr": 0.0003, "memory": 3660, "data_time": 0.00124, "loss": 0.06054, "time": 0.12908}
{"mode": "train", "epoch": 90, "iter": 60, "lr": 0.0003, "memory": 3660, "data_time": 0.00105, "loss": 0.06111, "time": 0.12757}
{"mode": "train", "epoch": 90, "iter": 80, "lr": 0.0003, "memory": 3660, "data_time": 0.0027, "loss": 0.06351, "time": 0.12397}
{"mode": "val", "epoch": 90, "iter": 91, "lr": 0.0003, "accuracy_top-1": 88.16017, "accuracy_top-5": 97.85986}
{"mode": "train", "epoch": 91, "iter": 20, "lr": 0.00024, "memory": 3660, "data_time": 0.11198, "loss": 0.06272, "time": 0.23391}
{"mode": "train", "epoch": 91, "iter": 40, "lr": 0.00024, "memory": 3660, "data_time": 0.00217, "loss": 0.05919, "time": 0.12799}
{"mode": "train", "epoch": 91, "iter": 60, "lr": 0.00024, "memory": 3660, "data_time": 0.00108, "loss": 0.06474, "time": 0.12347}
{"mode": "train", "epoch": 91, "iter": 80, "lr": 0.00024, "memory": 3660, "data_time": 0.00307, "loss": 0.05785, "time": 0.12544}
{"mode": "val", "epoch": 91, "iter": 91, "lr": 0.00024, "accuracy_top-1": 88.12565, "accuracy_top-5": 97.85986}
{"mode": "train", "epoch": 92, "iter": 20, "lr": 0.0002, "memory": 3660, "data_time": 0.1086, "loss": 0.05836, "time": 0.23059}
{"mode": "train", "epoch": 92, "iter": 40, "lr": 0.0002, "memory": 3660, "data_time": 0.00125, "loss": 0.05958, "time": 0.12165}
{"mode": "train", "epoch": 92, "iter": 60, "lr": 0.0002, "memory": 3660, "data_time": 0.0011, "loss": 0.06684, "time": 0.13387}
{"mode": "train", "epoch": 92, "iter": 80, "lr": 0.0002, "memory": 3660, "data_time": 0.00325, "loss": 0.06567, "time": 0.13151}
{"mode": "val", "epoch": 92, "iter": 91, "lr": 0.0002, "accuracy_top-1": 88.17743, "accuracy_top-5": 97.87712}
{"mode": "train", "epoch": 93, "iter": 20, "lr": 0.00016, "memory": 3660, "data_time": 0.11354, "loss": 0.06515, "time": 0.25595}
{"mode": "train", "epoch": 93, "iter": 40, "lr": 0.00016, "memory": 3660, "data_time": 0.0016, "loss": 0.06836, "time": 0.1243}
{"mode": "train", "epoch": 93, "iter": 60, "lr": 0.00016, "memory": 3660, "data_time": 0.00139, "loss": 0.06406, "time": 0.1263}
{"mode": "train", "epoch": 93, "iter": 80, "lr": 0.00016, "memory": 3660, "data_time": 0.00379, "loss": 0.06264, "time": 0.12301}
{"mode": "val", "epoch": 93, "iter": 91, "lr": 0.00016, "accuracy_top-1": 88.10839, "accuracy_top-5": 97.85986}
{"mode": "train", "epoch": 94, "iter": 20, "lr": 0.00012, "memory": 3660, "data_time": 0.10903, "loss": 0.06138, "time": 0.23404}
{"mode": "train", "epoch": 94, "iter": 40, "lr": 0.00012, "memory": 3660, "data_time": 0.00192, "loss": 0.06354, "time": 0.1219}
{"mode": "train", "epoch": 94, "iter": 60, "lr": 0.00012, "memory": 3660, "data_time": 0.00319, "loss": 0.05998, "time": 0.12436}
{"mode": "train", "epoch": 94, "iter": 80, "lr": 0.00012, "memory": 3660, "data_time": 0.00105, "loss": 0.06052, "time": 0.12349}
{"mode": "val", "epoch": 94, "iter": 91, "lr": 0.00012, "accuracy_top-1": 88.16017, "accuracy_top-5": 97.99793}
{"mode": "train", "epoch": 95, "iter": 20, "lr": 9e-05, "memory": 3660, "data_time": 0.10851, "loss": 0.05698, "time": 0.2273}
{"mode": "train", "epoch": 95, "iter": 40, "lr": 9e-05, "memory": 3660, "data_time": 0.00123, "loss": 0.05859, "time": 0.12355}
{"mode": "train", "epoch": 95, "iter": 60, "lr": 9e-05, "memory": 3660, "data_time": 0.00146, "loss": 0.06563, "time": 0.12355}
{"mode": "train", "epoch": 95, "iter": 80, "lr": 9e-05, "memory": 3660, "data_time": 0.00198, "loss": 0.05567, "time": 0.12447}
{"mode": "val", "epoch": 95, "iter": 91, "lr": 9e-05, "accuracy_top-1": 87.90128, "accuracy_top-5": 97.82534}
{"mode": "train", "epoch": 96, "iter": 20, "lr": 6e-05, "memory": 3660, "data_time": 0.10788, "loss": 0.06082, "time": 0.2319}
{"mode": "train", "epoch": 96, "iter": 40, "lr": 6e-05, "memory": 3660, "data_time": 0.00195, "loss": 0.06317, "time": 0.12585}
{"mode": "train", "epoch": 96, "iter": 60, "lr": 6e-05, "memory": 3660, "data_time": 0.00259, "loss": 0.05808, "time": 0.12214}
{"mode": "train", "epoch": 96, "iter": 80, "lr": 6e-05, "memory": 3660, "data_time": 0.0012, "loss": 0.05806, "time": 0.1243}
{"mode": "val", "epoch": 96, "iter": 91, "lr": 6e-05, "accuracy_top-1": 88.33276, "accuracy_top-5": 97.82534}
{"mode": "train", "epoch": 97, "iter": 20, "lr": 4e-05, "memory": 3660, "data_time": 0.11246, "loss": 0.06618, "time": 0.2331}
{"mode": "train", "epoch": 97, "iter": 40, "lr": 4e-05, "memory": 3660, "data_time": 0.00186, "loss": 0.05725, "time": 0.12192}
{"mode": "train", "epoch": 97, "iter": 60, "lr": 4e-05, "memory": 3660, "data_time": 0.00112, "loss": 0.06719, "time": 0.12631}
{"mode": "train", "epoch": 97, "iter": 80, "lr": 4e-05, "memory": 3660, "data_time": 0.00246, "loss": 0.05988, "time": 0.12745}
{"mode": "val", "epoch": 97, "iter": 91, "lr": 4e-05, "accuracy_top-1": 88.38454, "accuracy_top-5": 97.8426}
{"mode": "train", "epoch": 98, "iter": 20, "lr": 2e-05, "memory": 3660, "data_time": 0.10945, "loss": 0.05997, "time": 0.23315}
{"mode": "train", "epoch": 98, "iter": 40, "lr": 2e-05, "memory": 3660, "data_time": 0.00134, "loss": 0.06282, "time": 0.12836}
{"mode": "train", "epoch": 98, "iter": 60, "lr": 2e-05, "memory": 3660, "data_time": 0.00111, "loss": 0.0627, "time": 0.12272}
{"mode": "train", "epoch": 98, "iter": 80, "lr": 2e-05, "memory": 3660, "data_time": 0.00308, "loss": 0.05586, "time": 0.12975}
{"mode": "val", "epoch": 98, "iter": 91, "lr": 2e-05, "accuracy_top-1": 88.21194, "accuracy_top-5": 97.89438}
{"mode": "train", "epoch": 99, "iter": 20, "lr": 1e-05, "memory": 3660, "data_time": 0.10689, "loss": 0.06041, "time": 0.2268}
{"mode": "train", "epoch": 99, "iter": 40, "lr": 1e-05, "memory": 3660, "data_time": 0.00129, "loss": 0.06434, "time": 0.12502}
{"mode": "train", "epoch": 99, "iter": 60, "lr": 1e-05, "memory": 3660, "data_time": 0.00233, "loss": 0.06359, "time": 0.1262}
{"mode": "train", "epoch": 99, "iter": 80, "lr": 1e-05, "memory": 3660, "data_time": 0.00107, "loss": 0.05933, "time": 0.1231}
{"mode": "val", "epoch": 99, "iter": 91, "lr": 1e-05, "accuracy_top-1": 88.12565, "accuracy_top-5": 97.85986}
{"mode": "train", "epoch": 100, "iter": 20, "lr": 0.0, "memory": 3660, "data_time": 0.1081, "loss": 0.0601, "time": 0.23639}
{"mode": "train", "epoch": 100, "iter": 40, "lr": 0.0, "memory": 3660, "data_time": 0.00124, "loss": 0.05536, "time": 0.12106}
{"mode": "train", "epoch": 100, "iter": 60, "lr": 0.0, "memory": 3660, "data_time": 0.00102, "loss": 0.06396, "time": 0.12493}
{"mode": "train", "epoch": 100, "iter": 80, "lr": 0.0, "memory": 3660, "data_time": 0.0028, "loss": 0.06892, "time": 0.12418}
{"mode": "val", "epoch": 100, "iter": 91, "lr": 0.0, "accuracy_top-1": 88.19469, "accuracy_top-5": 97.8426}
