diff --git "a/Segmentation_Models/231029_1622_gengta2cs_daformer_s0_49f77/20231029_162300.log.json" "b/Segmentation_Models/231029_1622_gengta2cs_daformer_s0_49f77/20231029_162300.log.json" new file mode 100644--- /dev/null +++ "b/Segmentation_Models/231029_1622_gengta2cs_daformer_s0_49f77/20231029_162300.log.json" @@ -0,0 +1,801 @@ +{"env_info": "sys.platform: linux\nPython: 3.8.5 (default, Oct 6 2020, 10:04:29) [GCC 6.3.0]\nCUDA available: True\nGPU 0: NVIDIA TITAN RTX\nCUDA_HOME: /cluster/apps/gcc-6.3.0/cuda-11.0.3-qdlibd2luz2fy7izfefao4c5yitxwjus\nNVCC: Build cuda_11.0_bu.TC445_37.28845127_0\nGCC: gcc (GCC) 6.3.0\nPyTorch: 1.7.1+cu110\nPyTorch compiling details: PyTorch built with:\n - GCC 7.3\n - C++ Version: 201402\n - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications\n - Intel(R) MKL-DNN v1.6.0 (Git Hash 5ef631a030a6f73131c77892041042805a06064f)\n - OpenMP 201511 (a.k.a. OpenMP 4.5)\n - NNPACK is enabled\n - CPU capability usage: AVX2\n - CUDA Runtime 11.0\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_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80\n - CuDNN 8.0.5\n - Magma 2.5.2\n - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_VULKAN_WRAPPER -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, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=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: 0.8.2+cu110\nOpenCV: 4.4.0\nMMCV: 1.3.7\nMMCV Compiler: GCC 6.3\nMMCV CUDA Compiler: 11.0\nMMSegmentation: 0.16.0+8eb19e7", "seed": 0, "exp_name": "231029_1622_gengta3mix2cs_dgdacs_fdthings_srconly_daformer_sepaspp_sl_mitb5_poly10warm_w1_s0_49f77", "mmseg_version": "0.16.0+8eb19e7", "config": "log_config = dict(\n interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])\ndist_params = dict(backend='nccl')\nlog_level = 'INFO'\nload_from = None\nresume_from = None\nworkflow = [('train', 1)]\ncudnn_benchmark = True\nnorm_cfg = dict(type='BN', requires_grad=True)\nfind_unused_parameters = True\nmodel = dict(\n type='EncoderDecoder',\n pretrained='pretrained/mit_b5.pth',\n backbone=dict(type='mit_b5', style='pytorch'),\n decode_head=dict(\n type='DAFormerHead',\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=19,\n norm_cfg=dict(type='BN', requires_grad=True),\n align_corners=False,\n decoder_params=dict(\n embed_dims=256,\n embed_cfg=dict(type='mlp', act_cfg=None, norm_cfg=None),\n embed_neck_cfg=dict(type='mlp', act_cfg=None, norm_cfg=None),\n fusion_cfg=dict(\n type='aspp',\n sep=True,\n dilations=(1, 6, 12, 18),\n pool=False,\n act_cfg=dict(type='ReLU'),\n norm_cfg=dict(type='BN', requires_grad=True))),\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),\n train_cfg=dict(\n work_dir=\n 'work_dirs/local-exp523/231029_1622_gengta3mix2cs_dgdacs_fdthings_srconly_daformer_sepaspp_sl_mitb5_poly10warm_w1_s0_49f77'\n ),\n test_cfg=dict(\n mode='slide',\n batched_slide=True,\n stride=[256, 256],\n crop_size=[512, 512]))\ndataset_type = 'CityscapesDataset'\ndata_root = 'data/cityscapes/'\nimg_norm_cfg = dict(\n mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)\ncrop_size = (512, 512)\ngen_train_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations'),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ngta_train_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations'),\n dict(type='Resize', img_scale=(1280, 720)),\n dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=255),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n]\ntest_pipeline = [\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(1024, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n]\ndata = dict(\n samples_per_gpu=2,\n workers_per_gpu=1,\n train=dict(\n type='DGDataset',\n source2=dict(\n type='GTADataset',\n data_root='data/gen1/',\n img_dir='images',\n ann_dir='labels',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations'),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ]),\n source=dict(\n type='GTADataset',\n data_root='data/dg/rcs1e-2_gta6000/',\n img_dir='images',\n ann_dir='labels',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(type='LoadAnnotations'),\n dict(type='Resize', img_scale=(1280, 720)),\n dict(\n type='RandomCrop',\n crop_size=(512, 512),\n cat_max_ratio=0.75),\n dict(type='RandomFlip', prob=0.5),\n dict(type='PhotoMetricDistortion'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=255),\n dict(type='DefaultFormatBundle'),\n dict(type='Collect', keys=['img', 'gt_semantic_seg'])\n ])),\n val=dict(\n type='CityscapesDataset',\n data_root='data/cityscapes/',\n img_dir='leftImg8bit/val',\n ann_dir='gtFine/val',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(1024, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]),\n test=dict(\n type='CityscapesDataset',\n data_root='data/cityscapes/',\n img_dir='leftImg8bit/val',\n ann_dir='gtFine/val',\n pipeline=[\n dict(type='LoadImageFromFile'),\n dict(\n type='MultiScaleFlipAug',\n img_scale=(1024, 512),\n flip=False,\n transforms=[\n dict(type='Resize', keep_ratio=True),\n dict(type='RandomFlip'),\n dict(\n type='Normalize',\n mean=[123.675, 116.28, 103.53],\n std=[58.395, 57.12, 57.375],\n to_rgb=True),\n dict(type='ImageToTensor', keys=['img']),\n dict(type='Collect', keys=['img'])\n ])\n ]))\nuda = dict(\n type='DACS',\n source_only=True,\n alpha=0.99,\n pseudo_threshold=0.968,\n pseudo_weight_ignore_top=0,\n pseudo_weight_ignore_bottom=0,\n share_src_backward=False,\n imnet_feature_dist_lambda=0.005,\n imnet_feature_dist_classes=[6, 7, 11, 12, 13, 14, 15, 16, 17, 18],\n imnet_feature_dist_scale_min_ratio=0.75,\n mix='class',\n blur=True,\n color_jitter_strength=0.2,\n color_jitter_probability=0.2,\n style_consistency_lambda=0,\n svmin_lambda=0,\n svmin_scale_ratio=(0.8, 1.2),\n svmin_domain='mixed',\n debug_img_interval=1000,\n print_grad_magnitude=False,\n imnet_feature_dist_scale_method='ratio',\n model=dict(\n type='EncoderDecoder',\n pretrained='pretrained/mit_b5.pth',\n backbone=dict(type='mit_b5', style='pytorch'),\n decode_head=dict(\n type='DAFormerHead',\n in_channels=[64, 128, 320, 512],\n in_index=[0, 1, 2, 3],\n channels=256,\n dropout_ratio=0.1,\n num_classes=19,\n norm_cfg=dict(type='BN', requires_grad=True),\n align_corners=False,\n decoder_params=dict(\n embed_dims=256,\n embed_cfg=dict(type='mlp', act_cfg=None, norm_cfg=None),\n embed_neck_cfg=dict(type='mlp', act_cfg=None, norm_cfg=None),\n fusion_cfg=dict(\n type='aspp',\n sep=True,\n dilations=(1, 6, 12, 18),\n pool=False,\n act_cfg=dict(type='ReLU'),\n norm_cfg=dict(type='BN', requires_grad=True))),\n loss_decode=dict(\n type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),\n train_cfg=dict(\n work_dir=\n 'work_dirs/local-exp523/231029_1622_gengta3mix2cs_dgdacs_fdthings_srconly_daformer_sepaspp_sl_mitb5_poly10warm_w1_s0_49f77'\n ),\n test_cfg=dict(\n mode='slide',\n batched_slide=True,\n stride=[256, 256],\n crop_size=[512, 512])),\n max_iters=40000)\nuse_ddp_wrapper = True\noptimizer = dict(\n type='AdamW',\n lr=6e-05,\n betas=(0.9, 0.999),\n weight_decay=0.01,\n paramwise_cfg=dict(\n custom_keys=dict(\n head=dict(lr_mult=10.0),\n pos_block=dict(decay_mult=0.0),\n norm=dict(decay_mult=0.0))))\noptimizer_config = None\nlr_config = dict(\n policy='poly',\n warmup='linear',\n warmup_iters=1500,\n warmup_ratio=1e-06,\n power=1.0,\n min_lr=0.0,\n by_epoch=False)\ngpu_model = 'NVIDIAGeForceRTX2080Ti'\nn_gpus = 1\nseed = 0\nrunner = dict(type='IterBasedRunner', max_iters=40000)\ncheckpoint_config = dict(by_epoch=False, interval=40000, max_keep_ckpts=1)\nevaluation = dict(interval=40000, metric='mIoU')\nname = '231029_1622_gengta3mix2cs_dgdacs_fdthings_srconly_daformer_sepaspp_sl_mitb5_poly10warm_w1_s0_49f77'\nexp = 523\nname_dataset = 'gengta3mix2cityscapes'\nname_architecture = 'daformer_sepaspp_sl_mitb5'\nname_encoder = 'mitb5'\nname_decoder = 'daformer_sepaspp_sl'\nname_uda = 'dgdacs_fdthings_srconly'\nname_opt = 'adamw_6e-05_pmTrue_poly10warm_1x2_40k'\nwork_dir = 'work_dirs/local-exp523/231029_1622_gengta3mix2cs_dgdacs_fdthings_srconly_daformer_sepaspp_sl_mitb5_poly10warm_w1_s0_49f77'\ngit_rev = '8eb19e7d4501b621afe5f4f10d44d1df1f151ba8'\ngpu_ids = range(0, 1)\n", "CLASSES": ["road", "sidewalk", "building", "wall", "fence", "pole", "traffic light", "traffic sign", "vegetation", "terrain", "sky", "person", "rider", "car", "truck", "bus", "train", "motorcycle", "bicycle"], "PALETTE": [[128, 64, 128], [244, 35, 232], [70, 70, 70], [102, 102, 156], [190, 153, 153], [153, 153, 153], [250, 170, 30], [220, 220, 0], [107, 142, 35], [152, 251, 152], [70, 130, 180], [220, 20, 60], [255, 0, 0], [0, 0, 142], [0, 0, 70], [0, 60, 100], [0, 80, 100], [0, 0, 230], [119, 11, 32]]} +{"mode": "train", "epoch": 1, "iter": 50, "lr": 0.0, "memory": 9476, "data_time": 0.03643, "decode.loss_seg": 2.77584, "decode.acc_seg": 5.75789, "src.loss_imnet_feat_dist": 0.05836, "time": 0.75153} +{"mode": "train", "epoch": 1, "iter": 100, "lr": 0.0, "memory": 9476, "data_time": 0.01289, "decode.loss_seg": 2.62018, "decode.acc_seg": 36.71172, "src.loss_imnet_feat_dist": NaN, "time": 0.71121} +{"mode": "train", "epoch": 1, "iter": 150, "lr": 1e-05, "memory": 9476, "data_time": 0.01251, "decode.loss_seg": 2.27539, "decode.acc_seg": 53.16047, "src.loss_imnet_feat_dist": NaN, "time": 0.71275} +{"mode": "train", "epoch": 1, "iter": 200, "lr": 1e-05, "memory": 9476, "data_time": 0.01262, "decode.loss_seg": 1.92366, "decode.acc_seg": 55.88359, "src.loss_imnet_feat_dist": NaN, "time": 0.71384} +{"mode": "train", "epoch": 1, "iter": 250, "lr": 1e-05, "memory": 9476, "data_time": 0.01726, "decode.loss_seg": 1.58465, "decode.acc_seg": 62.22178, "src.loss_imnet_feat_dist": NaN, "time": 0.71978} +{"mode": "train", "epoch": 1, "iter": 300, "lr": 1e-05, "memory": 9476, "data_time": 0.01273, "decode.loss_seg": 1.38848, "decode.acc_seg": 63.84382, "src.loss_imnet_feat_dist": NaN, "time": 0.71688} +{"mode": "train", "epoch": 1, "iter": 350, "lr": 1e-05, "memory": 9476, "data_time": 0.01369, "decode.loss_seg": 1.24933, "decode.acc_seg": 64.06844, "src.loss_imnet_feat_dist": NaN, "time": 0.71716} +{"mode": "train", "epoch": 1, "iter": 400, "lr": 2e-05, "memory": 9476, "data_time": 0.01302, "decode.loss_seg": 1.13369, "decode.acc_seg": 64.8724, "src.loss_imnet_feat_dist": NaN, "time": 0.71681} +{"mode": "train", "epoch": 1, "iter": 450, "lr": 2e-05, "memory": 9476, "data_time": 0.013, "decode.loss_seg": 0.96172, "decode.acc_seg": 67.72075, "src.loss_imnet_feat_dist": NaN, "time": 0.71717} +{"mode": "train", "epoch": 1, "iter": 500, "lr": 2e-05, "memory": 9476, "data_time": 0.01306, "decode.loss_seg": 1.06129, "decode.acc_seg": 65.06202, "src.loss_imnet_feat_dist": NaN, "time": 0.71772} +{"mode": "train", "epoch": 1, "iter": 550, "lr": 2e-05, "memory": 9476, "data_time": 0.01952, "decode.loss_seg": 0.88388, "decode.acc_seg": 70.61682, "src.loss_imnet_feat_dist": NaN, "time": 0.72569} +{"mode": "train", "epoch": 1, "iter": 600, "lr": 2e-05, "memory": 9476, "data_time": 0.01326, "decode.loss_seg": 0.86941, "decode.acc_seg": 70.05336, "src.loss_imnet_feat_dist": NaN, "time": 0.71964} +{"mode": "train", "epoch": 1, "iter": 650, "lr": 3e-05, "memory": 9476, "data_time": 0.01292, "decode.loss_seg": 0.8098, "decode.acc_seg": 73.04859, "src.loss_imnet_feat_dist": NaN, "time": 0.71719} +{"mode": "train", "epoch": 1, "iter": 700, "lr": 3e-05, "memory": 9476, "data_time": 0.01297, "decode.loss_seg": 0.81024, "decode.acc_seg": 71.65834, "src.loss_imnet_feat_dist": NaN, "time": 0.71797} +{"mode": "train", "epoch": 1, "iter": 750, "lr": 3e-05, "memory": 9476, "data_time": 0.03199, "decode.loss_seg": 0.77132, "decode.acc_seg": 72.59812, "src.loss_imnet_feat_dist": NaN, "time": 0.73832} +{"mode": "train", "epoch": 1, "iter": 800, "lr": 3e-05, "memory": 9476, "data_time": 0.0286, "decode.loss_seg": 0.64415, "decode.acc_seg": 74.41018, "src.loss_imnet_feat_dist": NaN, "time": 0.73663} +{"mode": "train", "epoch": 1, "iter": 850, "lr": 3e-05, "memory": 9476, "data_time": 0.02278, "decode.loss_seg": 0.68031, "decode.acc_seg": 74.05381, "src.loss_imnet_feat_dist": NaN, "time": 0.72954} +{"mode": "train", "epoch": 1, "iter": 900, "lr": 4e-05, "memory": 9476, "data_time": 0.01783, "decode.loss_seg": 0.66833, "decode.acc_seg": 75.05804, "src.loss_imnet_feat_dist": NaN, "time": 0.72289} +{"mode": "train", "epoch": 1, "iter": 950, "lr": 4e-05, "memory": 9476, "data_time": 0.01283, "decode.loss_seg": 0.63165, "decode.acc_seg": 75.91402, "src.loss_imnet_feat_dist": NaN, "time": 0.71787} +{"mode": "train", "epoch": 1, "iter": 1000, "lr": 4e-05, "memory": 9476, "data_time": 0.01309, "decode.loss_seg": 0.69359, "decode.acc_seg": 73.8341, "src.loss_imnet_feat_dist": NaN, "time": 0.71991} +{"mode": "train", "epoch": 1, "iter": 1050, "lr": 4e-05, "memory": 9476, "data_time": 0.01416, "decode.loss_seg": 0.5927, "decode.acc_seg": 77.31388, "src.loss_imnet_feat_dist": NaN, "time": 0.72063} +{"mode": "train", "epoch": 1, "iter": 1100, "lr": 4e-05, "memory": 9476, "data_time": 0.01304, "decode.loss_seg": 0.58497, "decode.acc_seg": 78.74736, "src.loss_imnet_feat_dist": NaN, "time": 0.72005} +{"mode": "train", "epoch": 1, "iter": 1150, "lr": 4e-05, "memory": 9476, "data_time": 0.01295, "decode.loss_seg": 0.61355, "decode.acc_seg": 76.24735, "src.loss_imnet_feat_dist": NaN, "time": 0.71941} +{"mode": "train", "epoch": 1, "iter": 1200, "lr": 5e-05, "memory": 9476, "data_time": 0.01313, "decode.loss_seg": 0.56372, "decode.acc_seg": 78.76381, "src.loss_imnet_feat_dist": NaN, "time": 0.71861} +{"mode": "train", "epoch": 1, "iter": 1250, "lr": 5e-05, "memory": 9476, "data_time": 0.01299, "decode.loss_seg": 0.53773, "decode.acc_seg": 78.20735, "src.loss_imnet_feat_dist": NaN, "time": 0.71864} +{"mode": "train", "epoch": 1, "iter": 1300, "lr": 5e-05, "memory": 9476, "data_time": 0.01306, "decode.loss_seg": 0.53746, "decode.acc_seg": 77.53559, "src.loss_imnet_feat_dist": NaN, "time": 0.71813} +{"mode": "train", "epoch": 1, "iter": 1350, "lr": 5e-05, "memory": 9476, "data_time": 0.0164, "decode.loss_seg": 0.59937, "decode.acc_seg": 77.30255, "src.loss_imnet_feat_dist": NaN, "time": 0.72194} +{"mode": "train", "epoch": 1, "iter": 1400, "lr": 5e-05, "memory": 9476, "data_time": 0.01299, "decode.loss_seg": 0.61245, "decode.acc_seg": 76.59234, "src.loss_imnet_feat_dist": NaN, "time": 0.71801} +{"mode": "train", "epoch": 1, "iter": 1450, "lr": 6e-05, "memory": 9476, "data_time": 0.01328, "decode.loss_seg": 0.61114, "decode.acc_seg": 78.00565, "src.loss_imnet_feat_dist": NaN, "time": 0.71912} +{"mode": "train", "epoch": 1, "iter": 1500, "lr": 6e-05, "memory": 9476, "data_time": 0.01698, "decode.loss_seg": 0.66754, "decode.acc_seg": 76.13931, "src.loss_imnet_feat_dist": 0.11853, "time": 0.72333} +{"mode": "train", "epoch": 1, "iter": 1550, "lr": 6e-05, "memory": 9476, "data_time": 0.01302, "decode.loss_seg": 0.66367, "decode.acc_seg": 75.01801, "src.loss_imnet_feat_dist": NaN, "time": 0.71955} +{"mode": "train", "epoch": 1, "iter": 1600, "lr": 6e-05, "memory": 9476, "data_time": 0.01279, "decode.loss_seg": 0.50743, "decode.acc_seg": 80.03852, "src.loss_imnet_feat_dist": NaN, "time": 0.71891} +{"mode": "train", "epoch": 1, "iter": 1650, "lr": 6e-05, "memory": 9476, "data_time": 0.01282, "decode.loss_seg": 0.50808, "decode.acc_seg": 78.44131, "src.loss_imnet_feat_dist": NaN, "time": 0.71914} +{"mode": "train", "epoch": 1, "iter": 1700, "lr": 6e-05, "memory": 9476, "data_time": 0.01306, "decode.loss_seg": 0.62886, "decode.acc_seg": 75.81644, "src.loss_imnet_feat_dist": NaN, "time": 0.7199} +{"mode": "train", "epoch": 1, "iter": 1750, "lr": 6e-05, "memory": 9476, "data_time": 0.01255, "decode.loss_seg": 0.50294, "decode.acc_seg": 78.74464, "src.loss_imnet_feat_dist": NaN, "time": 0.71874} +{"mode": "train", "epoch": 1, "iter": 1800, "lr": 6e-05, "memory": 9476, "data_time": 0.0126, "decode.loss_seg": 0.49082, "decode.acc_seg": 78.99366, "src.loss_imnet_feat_dist": 0.11794, "time": 0.7186} +{"mode": "train", "epoch": 1, "iter": 1850, "lr": 6e-05, "memory": 9476, "data_time": 0.01248, "decode.loss_seg": 0.50074, "decode.acc_seg": 80.33004, "src.loss_imnet_feat_dist": NaN, "time": 0.71862} +{"mode": "train", "epoch": 1, "iter": 1900, "lr": 6e-05, "memory": 9476, "data_time": 0.01258, "decode.loss_seg": 0.49016, "decode.acc_seg": 81.45089, "src.loss_imnet_feat_dist": NaN, "time": 0.71877} +{"mode": "train", "epoch": 1, "iter": 1950, "lr": 6e-05, "memory": 9476, "data_time": 0.01988, "decode.loss_seg": 0.41647, "decode.acc_seg": 81.53584, "src.loss_imnet_feat_dist": NaN, "time": 0.72664} +{"mode": "train", "epoch": 1, "iter": 2000, "lr": 6e-05, "memory": 9476, "data_time": 0.01614, "decode.loss_seg": 0.49442, "decode.acc_seg": 80.7241, "src.loss_imnet_feat_dist": NaN, "time": 0.72154} +{"mode": "train", "epoch": 1, "iter": 2050, "lr": 6e-05, "memory": 9476, "data_time": 0.01537, "decode.loss_seg": 0.49394, "decode.acc_seg": 79.80526, "src.loss_imnet_feat_dist": NaN, "time": 0.72159} +{"mode": "train", "epoch": 1, "iter": 2100, "lr": 6e-05, "memory": 9476, "data_time": 0.01271, "decode.loss_seg": 0.47541, "decode.acc_seg": 79.65928, "src.loss_imnet_feat_dist": NaN, "time": 0.71786} +{"mode": "train", "epoch": 1, "iter": 2150, "lr": 6e-05, "memory": 9476, "data_time": 0.01264, "decode.loss_seg": 0.44313, "decode.acc_seg": 80.12164, "src.loss_imnet_feat_dist": NaN, "time": 0.7186} +{"mode": "train", "epoch": 1, "iter": 2200, "lr": 6e-05, "memory": 9476, "data_time": 0.01247, "decode.loss_seg": 0.58244, "decode.acc_seg": 77.22969, "src.loss_imnet_feat_dist": NaN, "time": 0.71783} +{"mode": "train", "epoch": 1, "iter": 2250, "lr": 6e-05, "memory": 9476, "data_time": 0.01236, "decode.loss_seg": 0.45821, "decode.acc_seg": 80.61839, "src.loss_imnet_feat_dist": 0.11498, "time": 0.71853} +{"mode": "train", "epoch": 1, "iter": 2300, "lr": 6e-05, "memory": 9476, "data_time": 0.01228, "decode.loss_seg": 0.46407, "decode.acc_seg": 80.29751, "src.loss_imnet_feat_dist": 0.11564, "time": 0.71731} +{"mode": "train", "epoch": 1, "iter": 2350, "lr": 6e-05, "memory": 9476, "data_time": 0.02258, "decode.loss_seg": 0.40552, "decode.acc_seg": 81.26847, "src.loss_imnet_feat_dist": NaN, "time": 0.72922} +{"mode": "train", "epoch": 1, "iter": 2400, "lr": 6e-05, "memory": 9476, "data_time": 0.01216, "decode.loss_seg": 0.39546, "decode.acc_seg": 83.47966, "src.loss_imnet_feat_dist": NaN, "time": 0.71622} +{"mode": "train", "epoch": 1, "iter": 2450, "lr": 6e-05, "memory": 9476, "data_time": 0.01252, "decode.loss_seg": 0.42748, "decode.acc_seg": 82.42243, "src.loss_imnet_feat_dist": NaN, "time": 0.71828} +{"mode": "train", "epoch": 1, "iter": 2500, "lr": 6e-05, "memory": 9476, "data_time": 0.01301, "decode.loss_seg": 0.45657, "decode.acc_seg": 82.42678, "src.loss_imnet_feat_dist": NaN, "time": 0.71885} +{"mode": "train", "epoch": 1, "iter": 2550, "lr": 6e-05, "memory": 9476, "data_time": 0.02567, "decode.loss_seg": 0.45377, "decode.acc_seg": 81.9533, "src.loss_imnet_feat_dist": NaN, "time": 0.73171} +{"mode": "train", "epoch": 1, "iter": 2600, "lr": 6e-05, "memory": 9476, "data_time": 0.01284, "decode.loss_seg": 0.46924, "decode.acc_seg": 81.05887, "src.loss_imnet_feat_dist": 0.1231, "time": 0.7192} +{"mode": "train", "epoch": 1, "iter": 2650, "lr": 6e-05, "memory": 9476, "data_time": 0.01579, "decode.loss_seg": 0.49355, "decode.acc_seg": 79.85191, "src.loss_imnet_feat_dist": NaN, "time": 0.72113} +{"mode": "train", "epoch": 1, "iter": 2700, "lr": 6e-05, "memory": 9476, "data_time": 0.01986, "decode.loss_seg": 0.53065, "decode.acc_seg": 80.94107, "src.loss_imnet_feat_dist": NaN, "time": 0.72431} +{"mode": "train", "epoch": 1, "iter": 2750, "lr": 6e-05, "memory": 9476, "data_time": 0.0125, "decode.loss_seg": 0.39845, "decode.acc_seg": 81.90447, "src.loss_imnet_feat_dist": NaN, "time": 0.71581} +{"mode": "train", "epoch": 1, "iter": 2800, "lr": 6e-05, "memory": 9476, "data_time": 0.01282, "decode.loss_seg": 0.49824, "decode.acc_seg": 80.52995, "src.loss_imnet_feat_dist": NaN, "time": 0.71661} +{"mode": "train", "epoch": 1, "iter": 2850, "lr": 6e-05, "memory": 9476, "data_time": 0.01357, "decode.loss_seg": 0.486, "decode.acc_seg": 79.61047, "src.loss_imnet_feat_dist": NaN, "time": 0.71836} +{"mode": "train", "epoch": 1, "iter": 2900, "lr": 6e-05, "memory": 9476, "data_time": 0.0129, "decode.loss_seg": 0.40881, "decode.acc_seg": 81.8511, "src.loss_imnet_feat_dist": NaN, "time": 0.71894} +{"mode": "train", "epoch": 1, "iter": 2950, "lr": 6e-05, "memory": 9476, "data_time": 0.01486, "decode.loss_seg": 0.51273, "decode.acc_seg": 79.82657, "src.loss_imnet_feat_dist": NaN, "time": 0.72044} +{"mode": "train", "epoch": 1, "iter": 3000, "lr": 6e-05, "memory": 9476, "data_time": 0.01996, "decode.loss_seg": 0.47692, "decode.acc_seg": 79.65606, "src.loss_imnet_feat_dist": NaN, "time": 0.72501} +{"mode": "train", "epoch": 1, "iter": 3050, "lr": 6e-05, "memory": 9476, "data_time": 0.0254, "decode.loss_seg": 0.53911, "decode.acc_seg": 77.98642, "src.loss_imnet_feat_dist": 0.12358, "time": 0.73092} +{"mode": "train", "epoch": 1, "iter": 3100, "lr": 6e-05, "memory": 9476, "data_time": 0.01327, "decode.loss_seg": 0.46084, "decode.acc_seg": 81.57595, "src.loss_imnet_feat_dist": NaN, "time": 0.72013} +{"mode": "train", "epoch": 1, "iter": 3150, "lr": 6e-05, "memory": 9476, "data_time": 0.017, "decode.loss_seg": 0.47051, "decode.acc_seg": 82.06542, "src.loss_imnet_feat_dist": NaN, "time": 0.72382} +{"mode": "train", "epoch": 1, "iter": 3200, "lr": 6e-05, "memory": 9476, "data_time": 0.01344, "decode.loss_seg": 0.4478, "decode.acc_seg": 82.83065, "src.loss_imnet_feat_dist": NaN, "time": 0.71997} +{"mode": "train", "epoch": 1, "iter": 3250, "lr": 6e-05, "memory": 9476, "data_time": 0.01258, "decode.loss_seg": 0.40342, "decode.acc_seg": 79.69091, "src.loss_imnet_feat_dist": NaN, "time": 0.71826} +{"mode": "train", "epoch": 1, "iter": 3300, "lr": 6e-05, "memory": 9476, "data_time": 0.01243, "decode.loss_seg": 0.40441, "decode.acc_seg": 82.57431, "src.loss_imnet_feat_dist": 0.1225, "time": 0.71697} +{"mode": "train", "epoch": 1, "iter": 3350, "lr": 5e-05, "memory": 9476, "data_time": 0.01291, "decode.loss_seg": 0.40058, "decode.acc_seg": 82.97068, "src.loss_imnet_feat_dist": NaN, "time": 0.71742} +{"mode": "train", "epoch": 1, "iter": 3400, "lr": 5e-05, "memory": 9476, "data_time": 0.01299, "decode.loss_seg": 0.36119, "decode.acc_seg": 83.55536, "src.loss_imnet_feat_dist": NaN, "time": 0.71811} +{"mode": "train", "epoch": 1, "iter": 3450, "lr": 5e-05, "memory": 9476, "data_time": 0.01709, "decode.loss_seg": 0.3969, "decode.acc_seg": 82.20932, "src.loss_imnet_feat_dist": NaN, "time": 0.72095} +{"mode": "train", "epoch": 1, "iter": 3500, "lr": 5e-05, "memory": 9476, "data_time": 0.01736, "decode.loss_seg": 0.50397, "decode.acc_seg": 81.69577, "src.loss_imnet_feat_dist": NaN, "time": 0.72288} +{"mode": "train", "epoch": 1, "iter": 3550, "lr": 5e-05, "memory": 9476, "data_time": 0.01305, "decode.loss_seg": 0.42063, "decode.acc_seg": 79.75466, "src.loss_imnet_feat_dist": NaN, "time": 0.71756} +{"mode": "train", "epoch": 1, "iter": 3600, "lr": 5e-05, "memory": 9476, "data_time": 0.01323, "decode.loss_seg": 0.3947, "decode.acc_seg": 82.69085, "src.loss_imnet_feat_dist": NaN, "time": 0.71879} +{"mode": "train", "epoch": 1, "iter": 3650, "lr": 5e-05, "memory": 9476, "data_time": 0.01427, "decode.loss_seg": 0.41152, "decode.acc_seg": 82.20146, "src.loss_imnet_feat_dist": NaN, "time": 0.71932} +{"mode": "train", "epoch": 1, "iter": 3700, "lr": 5e-05, "memory": 9476, "data_time": 0.01295, "decode.loss_seg": 0.37793, "decode.acc_seg": 82.70616, "src.loss_imnet_feat_dist": NaN, "time": 0.71632} +{"mode": "train", "epoch": 1, "iter": 3750, "lr": 5e-05, "memory": 9476, "data_time": 0.01714, "decode.loss_seg": 0.39431, "decode.acc_seg": 83.40318, "src.loss_imnet_feat_dist": NaN, "time": 0.72166} +{"mode": "train", "epoch": 1, "iter": 3800, "lr": 5e-05, "memory": 9476, "data_time": 0.01287, "decode.loss_seg": 0.45316, "decode.acc_seg": 81.22517, "src.loss_imnet_feat_dist": NaN, "time": 0.71699} +{"mode": "train", "epoch": 1, "iter": 3850, "lr": 5e-05, "memory": 9476, "data_time": 0.01287, "decode.loss_seg": 0.36904, "decode.acc_seg": 82.66888, "src.loss_imnet_feat_dist": NaN, "time": 0.71789} +{"mode": "train", "epoch": 1, "iter": 3900, "lr": 5e-05, "memory": 9476, "data_time": 0.01275, "decode.loss_seg": 0.40059, "decode.acc_seg": 82.22957, "src.loss_imnet_feat_dist": NaN, "time": 0.7172} +{"mode": "train", "epoch": 1, "iter": 3950, "lr": 5e-05, "memory": 9476, "data_time": 0.01287, "decode.loss_seg": 0.44136, "decode.acc_seg": 81.1125, "src.loss_imnet_feat_dist": NaN, "time": 0.71677} +{"mode": "train", "epoch": 1, "iter": 4000, "lr": 5e-05, "memory": 9476, "data_time": 0.02075, "decode.loss_seg": 0.44107, "decode.acc_seg": 80.04068, "src.loss_imnet_feat_dist": NaN, "time": 0.7256} +{"mode": "train", "epoch": 1, "iter": 4050, "lr": 5e-05, "memory": 9476, "data_time": 0.01502, "decode.loss_seg": 0.39239, "decode.acc_seg": 81.93271, "src.loss_imnet_feat_dist": NaN, "time": 0.71873} +{"mode": "train", "epoch": 1, "iter": 4100, "lr": 5e-05, "memory": 9476, "data_time": 0.01674, "decode.loss_seg": 0.36709, "decode.acc_seg": 83.86768, "src.loss_imnet_feat_dist": NaN, "time": 0.72189} +{"mode": "train", "epoch": 1, "iter": 4150, "lr": 5e-05, "memory": 9476, "data_time": 0.01716, "decode.loss_seg": 0.35486, "decode.acc_seg": 83.14181, "src.loss_imnet_feat_dist": NaN, "time": 0.72157} +{"mode": "train", "epoch": 1, "iter": 4200, "lr": 5e-05, "memory": 9476, "data_time": 0.01316, "decode.loss_seg": 0.42233, "decode.acc_seg": 80.18721, "src.loss_imnet_feat_dist": NaN, "time": 0.71871} +{"mode": "train", "epoch": 1, "iter": 4250, "lr": 5e-05, "memory": 9476, "data_time": 0.01251, "decode.loss_seg": 0.41216, "decode.acc_seg": 82.13367, "src.loss_imnet_feat_dist": NaN, "time": 0.71574} +{"mode": "train", "epoch": 1, "iter": 4300, "lr": 5e-05, "memory": 9476, "data_time": 0.01841, "decode.loss_seg": 0.36873, "decode.acc_seg": 82.39422, "src.loss_imnet_feat_dist": NaN, "time": 0.72375} +{"mode": "train", "epoch": 1, "iter": 4350, "lr": 5e-05, "memory": 9476, "data_time": 0.01633, "decode.loss_seg": 0.38356, "decode.acc_seg": 83.39918, "src.loss_imnet_feat_dist": NaN, "time": 0.72133} +{"mode": "train", "epoch": 1, "iter": 4400, "lr": 5e-05, "memory": 9476, "data_time": 0.01293, "decode.loss_seg": 0.39276, "decode.acc_seg": 83.47664, "src.loss_imnet_feat_dist": NaN, "time": 0.7174} +{"mode": "train", "epoch": 1, "iter": 4450, "lr": 5e-05, "memory": 9476, "data_time": 0.01611, "decode.loss_seg": 0.398, "decode.acc_seg": 81.35349, "src.loss_imnet_feat_dist": NaN, "time": 0.721} +{"mode": "train", "epoch": 1, "iter": 4500, "lr": 5e-05, "memory": 9476, "data_time": 0.01258, "decode.loss_seg": 0.44813, "decode.acc_seg": 81.59265, "src.loss_imnet_feat_dist": NaN, "time": 0.71603} +{"mode": "train", "epoch": 1, "iter": 4550, "lr": 5e-05, "memory": 9476, "data_time": 0.01284, "decode.loss_seg": 0.38274, "decode.acc_seg": 83.16568, "src.loss_imnet_feat_dist": NaN, "time": 0.7167} +{"mode": "train", "epoch": 1, "iter": 4600, "lr": 5e-05, "memory": 9476, "data_time": 0.0127, "decode.loss_seg": 0.37421, "decode.acc_seg": 82.85904, "src.loss_imnet_feat_dist": 0.12105, "time": 0.71691} +{"mode": "train", "epoch": 1, "iter": 4650, "lr": 5e-05, "memory": 9476, "data_time": 0.02698, "decode.loss_seg": 0.42533, "decode.acc_seg": 80.84113, "src.loss_imnet_feat_dist": NaN, "time": 0.731} +{"mode": "train", "epoch": 1, "iter": 4700, "lr": 5e-05, "memory": 9476, "data_time": 0.01286, "decode.loss_seg": 0.35552, "decode.acc_seg": 83.24551, "src.loss_imnet_feat_dist": NaN, "time": 0.71843} +{"mode": "train", "epoch": 1, "iter": 4750, "lr": 5e-05, "memory": 9476, "data_time": 0.01278, "decode.loss_seg": 0.47153, "decode.acc_seg": 80.8686, "src.loss_imnet_feat_dist": 0.11391, "time": 0.71825} +{"mode": "train", "epoch": 1, "iter": 4800, "lr": 5e-05, "memory": 9476, "data_time": 0.01272, "decode.loss_seg": 0.40624, "decode.acc_seg": 81.77343, "src.loss_imnet_feat_dist": NaN, "time": 0.71668} +{"mode": "train", "epoch": 1, "iter": 4850, "lr": 5e-05, "memory": 9476, "data_time": 0.01297, "decode.loss_seg": 0.38213, "decode.acc_seg": 82.28293, "src.loss_imnet_feat_dist": 0.11567, "time": 0.71583} +{"mode": "train", "epoch": 1, "iter": 4900, "lr": 5e-05, "memory": 9476, "data_time": 0.01285, "decode.loss_seg": 0.3135, "decode.acc_seg": 85.08343, "src.loss_imnet_feat_dist": NaN, "time": 0.71866} +{"mode": "train", "epoch": 1, "iter": 4950, "lr": 5e-05, "memory": 9476, "data_time": 0.01284, "decode.loss_seg": 0.36667, "decode.acc_seg": 83.24411, "src.loss_imnet_feat_dist": NaN, "time": 0.71833} +{"mode": "train", "epoch": 1, "iter": 5000, "lr": 5e-05, "memory": 9476, "data_time": 0.0131, "decode.loss_seg": 0.38694, "decode.acc_seg": 82.90458, "src.loss_imnet_feat_dist": NaN, "time": 0.71818} +{"mode": "train", "epoch": 1, "iter": 5050, "lr": 5e-05, "memory": 9476, "data_time": 0.01335, "decode.loss_seg": 0.5009, "decode.acc_seg": 79.74347, "src.loss_imnet_feat_dist": NaN, "time": 0.7184} +{"mode": "train", "epoch": 1, "iter": 5100, "lr": 5e-05, "memory": 9476, "data_time": 0.01563, "decode.loss_seg": 0.43126, "decode.acc_seg": 82.55833, "src.loss_imnet_feat_dist": NaN, "time": 0.7199} +{"mode": "train", "epoch": 1, "iter": 5150, "lr": 5e-05, "memory": 9476, "data_time": 0.01294, "decode.loss_seg": 0.4227, "decode.acc_seg": 80.50739, "src.loss_imnet_feat_dist": NaN, "time": 0.71941} +{"mode": "train", "epoch": 1, "iter": 5200, "lr": 5e-05, "memory": 9476, "data_time": 0.01303, "decode.loss_seg": 0.41615, "decode.acc_seg": 82.99853, "src.loss_imnet_feat_dist": NaN, "time": 0.71864} +{"mode": "train", "epoch": 1, "iter": 5250, "lr": 5e-05, "memory": 9476, "data_time": 0.0174, "decode.loss_seg": 0.41673, "decode.acc_seg": 84.00134, "src.loss_imnet_feat_dist": NaN, "time": 0.7243} +{"mode": "train", "epoch": 1, "iter": 5300, "lr": 5e-05, "memory": 9476, "data_time": 0.01271, "decode.loss_seg": 0.38951, "decode.acc_seg": 83.29535, "src.loss_imnet_feat_dist": NaN, "time": 0.71847} +{"mode": "train", "epoch": 1, "iter": 5350, "lr": 5e-05, "memory": 9476, "data_time": 0.01311, "decode.loss_seg": 0.50656, "decode.acc_seg": 80.03321, "src.loss_imnet_feat_dist": NaN, "time": 0.71751} +{"mode": "train", "epoch": 1, "iter": 5400, "lr": 5e-05, "memory": 9476, "data_time": 0.01581, "decode.loss_seg": 0.45205, "decode.acc_seg": 80.83884, "src.loss_imnet_feat_dist": NaN, "time": 0.72302} +{"mode": "train", "epoch": 1, "iter": 5450, "lr": 5e-05, "memory": 9476, "data_time": 0.01266, "decode.loss_seg": 0.47553, "decode.acc_seg": 81.53251, "src.loss_imnet_feat_dist": NaN, "time": 0.71832} +{"mode": "train", "epoch": 1, "iter": 5500, "lr": 5e-05, "memory": 9476, "data_time": 0.017, "decode.loss_seg": 0.40058, "decode.acc_seg": 83.12456, "src.loss_imnet_feat_dist": NaN, "time": 0.72198} +{"mode": "train", "epoch": 1, "iter": 5550, "lr": 5e-05, "memory": 9476, "data_time": 0.03856, "decode.loss_seg": 0.42616, "decode.acc_seg": 81.94792, "src.loss_imnet_feat_dist": NaN, "time": 0.74365} +{"mode": "train", "epoch": 1, "iter": 5600, "lr": 5e-05, "memory": 9476, "data_time": 0.01242, "decode.loss_seg": 0.38267, "decode.acc_seg": 83.23872, "src.loss_imnet_feat_dist": 0.11679, "time": 0.71728} +{"mode": "train", "epoch": 1, "iter": 5650, "lr": 5e-05, "memory": 9476, "data_time": 0.01228, "decode.loss_seg": 0.4302, "decode.acc_seg": 81.09845, "src.loss_imnet_feat_dist": NaN, "time": 0.71612} +{"mode": "train", "epoch": 1, "iter": 5700, "lr": 5e-05, "memory": 9476, "data_time": 0.02219, "decode.loss_seg": 0.48181, "decode.acc_seg": 79.71001, "src.loss_imnet_feat_dist": 0.11968, "time": 0.72696} +{"mode": "train", "epoch": 1, "iter": 5750, "lr": 5e-05, "memory": 9476, "data_time": 0.01275, "decode.loss_seg": 0.42175, "decode.acc_seg": 81.30395, "src.loss_imnet_feat_dist": NaN, "time": 0.71682} +{"mode": "train", "epoch": 1, "iter": 5800, "lr": 5e-05, "memory": 9476, "data_time": 0.0186, "decode.loss_seg": 0.38001, "decode.acc_seg": 82.00088, "src.loss_imnet_feat_dist": NaN, "time": 0.72235} +{"mode": "train", "epoch": 1, "iter": 5850, "lr": 5e-05, "memory": 9476, "data_time": 0.01841, "decode.loss_seg": 0.4111, "decode.acc_seg": 82.39103, "src.loss_imnet_feat_dist": NaN, "time": 0.72368} +{"mode": "train", "epoch": 1, "iter": 5900, "lr": 5e-05, "memory": 9476, "data_time": 0.01254, "decode.loss_seg": 0.46152, "decode.acc_seg": 80.63509, "src.loss_imnet_feat_dist": NaN, "time": 0.71648} +{"mode": "train", "epoch": 1, "iter": 5950, "lr": 5e-05, "memory": 9476, "data_time": 0.01234, "decode.loss_seg": 0.40462, "decode.acc_seg": 81.78363, "src.loss_imnet_feat_dist": 0.12617, "time": 0.71748} +{"mode": "train", "epoch": 1, "iter": 6000, "lr": 5e-05, "memory": 9476, "data_time": 0.01232, "decode.loss_seg": 0.39926, "decode.acc_seg": 81.94878, "src.loss_imnet_feat_dist": NaN, "time": 0.71697} +{"mode": "train", "epoch": 1, "iter": 6050, "lr": 5e-05, "memory": 9476, "data_time": 0.01265, "decode.loss_seg": 0.32945, "decode.acc_seg": 84.70057, "src.loss_imnet_feat_dist": NaN, "time": 0.71667} +{"mode": "train", "epoch": 1, "iter": 6100, "lr": 5e-05, "memory": 9476, "data_time": 0.01274, "decode.loss_seg": 0.35395, "decode.acc_seg": 84.0661, "src.loss_imnet_feat_dist": NaN, "time": 0.71716} +{"mode": "train", "epoch": 1, "iter": 6150, "lr": 5e-05, "memory": 9476, "data_time": 0.02263, "decode.loss_seg": 0.35001, "decode.acc_seg": 85.39391, "src.loss_imnet_feat_dist": NaN, "time": 0.72695} +{"mode": "train", "epoch": 1, "iter": 6200, "lr": 5e-05, "memory": 9476, "data_time": 0.01327, "decode.loss_seg": 0.36042, "decode.acc_seg": 82.94137, "src.loss_imnet_feat_dist": NaN, "time": 0.71823} +{"mode": "train", "epoch": 1, "iter": 6250, "lr": 5e-05, "memory": 9476, "data_time": 0.01243, "decode.loss_seg": 0.3473, "decode.acc_seg": 85.15578, "src.loss_imnet_feat_dist": NaN, "time": 0.71694} +{"mode": "train", "epoch": 1, "iter": 6300, "lr": 5e-05, "memory": 9476, "data_time": 0.01237, "decode.loss_seg": 0.42285, "decode.acc_seg": 82.81609, "src.loss_imnet_feat_dist": NaN, "time": 0.71749} +{"mode": "train", "epoch": 1, "iter": 6350, "lr": 5e-05, "memory": 9476, "data_time": 0.01258, "decode.loss_seg": 0.43504, "decode.acc_seg": 80.63558, "src.loss_imnet_feat_dist": NaN, "time": 0.717} +{"mode": "train", "epoch": 1, "iter": 6400, "lr": 5e-05, "memory": 9476, "data_time": 0.0158, "decode.loss_seg": 0.45602, "decode.acc_seg": 81.04662, "src.loss_imnet_feat_dist": NaN, "time": 0.71975} +{"mode": "train", "epoch": 1, "iter": 6450, "lr": 5e-05, "memory": 9476, "data_time": 0.01558, "decode.loss_seg": 0.29024, "decode.acc_seg": 85.19592, "src.loss_imnet_feat_dist": NaN, "time": 0.7204} +{"mode": "train", "epoch": 1, "iter": 6500, "lr": 5e-05, "memory": 9476, "data_time": 0.01247, "decode.loss_seg": 0.26872, "decode.acc_seg": 86.66896, "src.loss_imnet_feat_dist": NaN, "time": 0.71606} +{"mode": "train", "epoch": 2, "iter": 6550, "lr": 5e-05, "memory": 9476, "data_time": 0.02724, "decode.loss_seg": 0.31863, "decode.acc_seg": 83.78373, "src.loss_imnet_feat_dist": 0.10817, "time": 0.73091} +{"mode": "train", "epoch": 2, "iter": 6600, "lr": 5e-05, "memory": 9476, "data_time": 0.0124, "decode.loss_seg": 0.32121, "decode.acc_seg": 86.39452, "src.loss_imnet_feat_dist": NaN, "time": 0.71592} +{"mode": "train", "epoch": 2, "iter": 6650, "lr": 5e-05, "memory": 9476, "data_time": 0.0125, "decode.loss_seg": 0.28776, "decode.acc_seg": 84.84517, "src.loss_imnet_feat_dist": NaN, "time": 0.71671} +{"mode": "train", "epoch": 2, "iter": 6700, "lr": 5e-05, "memory": 9476, "data_time": 0.01473, "decode.loss_seg": 0.3359, "decode.acc_seg": 84.93425, "src.loss_imnet_feat_dist": NaN, "time": 0.71921} +{"mode": "train", "epoch": 2, "iter": 6750, "lr": 5e-05, "memory": 9476, "data_time": 0.01269, "decode.loss_seg": 0.29799, "decode.acc_seg": 85.86273, "src.loss_imnet_feat_dist": 0.11571, "time": 0.71726} +{"mode": "train", "epoch": 2, "iter": 6800, "lr": 5e-05, "memory": 9476, "data_time": 0.0171, "decode.loss_seg": 0.29227, "decode.acc_seg": 85.94477, "src.loss_imnet_feat_dist": NaN, "time": 0.72165} +{"mode": "train", "epoch": 2, "iter": 6850, "lr": 5e-05, "memory": 9476, "data_time": 0.01231, "decode.loss_seg": 0.34199, "decode.acc_seg": 84.08314, "src.loss_imnet_feat_dist": NaN, "time": 0.71479} +{"mode": "train", "epoch": 2, "iter": 6900, "lr": 5e-05, "memory": 9476, "data_time": 0.0123, "decode.loss_seg": 0.36203, "decode.acc_seg": 82.45834, "src.loss_imnet_feat_dist": NaN, "time": 0.71546} +{"mode": "train", "epoch": 2, "iter": 6950, "lr": 5e-05, "memory": 9476, "data_time": 0.0125, "decode.loss_seg": 0.36828, "decode.acc_seg": 83.71065, "src.loss_imnet_feat_dist": NaN, "time": 0.71503} +{"mode": "train", "epoch": 2, "iter": 7000, "lr": 5e-05, "memory": 9476, "data_time": 0.01241, "decode.loss_seg": 0.35631, "decode.acc_seg": 83.93481, "src.loss_imnet_feat_dist": NaN, "time": 0.71646} +{"mode": "train", "epoch": 2, "iter": 7050, "lr": 5e-05, "memory": 9476, "data_time": 0.01239, "decode.loss_seg": 0.4317, "decode.acc_seg": 82.02748, "src.loss_imnet_feat_dist": NaN, "time": 0.71701} +{"mode": "train", "epoch": 2, "iter": 7100, "lr": 5e-05, "memory": 9476, "data_time": 0.01455, "decode.loss_seg": 0.39376, "decode.acc_seg": 81.35781, "src.loss_imnet_feat_dist": NaN, "time": 0.71873} +{"mode": "train", "epoch": 2, "iter": 7150, "lr": 5e-05, "memory": 9476, "data_time": 0.01225, "decode.loss_seg": 0.32872, "decode.acc_seg": 85.55986, "src.loss_imnet_feat_dist": NaN, "time": 0.71593} +{"mode": "train", "epoch": 2, "iter": 7200, "lr": 5e-05, "memory": 9476, "data_time": 0.01848, "decode.loss_seg": 0.28399, "decode.acc_seg": 85.22308, "src.loss_imnet_feat_dist": NaN, "time": 0.72303} +{"mode": "train", "epoch": 2, "iter": 7250, "lr": 5e-05, "memory": 9476, "data_time": 0.01229, "decode.loss_seg": 0.33637, "decode.acc_seg": 84.64806, "src.loss_imnet_feat_dist": 0.11535, "time": 0.71603} +{"mode": "train", "epoch": 2, "iter": 7300, "lr": 5e-05, "memory": 9476, "data_time": 0.01476, "decode.loss_seg": 0.36728, "decode.acc_seg": 84.42928, "src.loss_imnet_feat_dist": NaN, "time": 0.71934} +{"mode": "train", "epoch": 2, "iter": 7350, "lr": 5e-05, "memory": 9476, "data_time": 0.01228, "decode.loss_seg": 0.35294, "decode.acc_seg": 83.25226, "src.loss_imnet_feat_dist": NaN, "time": 0.7177} +{"mode": "train", "epoch": 2, "iter": 7400, "lr": 5e-05, "memory": 9476, "data_time": 0.0158, "decode.loss_seg": 0.35666, "decode.acc_seg": 84.29309, "src.loss_imnet_feat_dist": NaN, "time": 0.72068} +{"mode": "train", "epoch": 2, "iter": 7450, "lr": 5e-05, "memory": 9476, "data_time": 0.027, "decode.loss_seg": 0.30998, "decode.acc_seg": 84.60468, "src.loss_imnet_feat_dist": NaN, "time": 0.73325} +{"mode": "train", "epoch": 2, "iter": 7500, "lr": 5e-05, "memory": 9476, "data_time": 0.01215, "decode.loss_seg": 0.30392, "decode.acc_seg": 85.5122, "src.loss_imnet_feat_dist": NaN, "time": 0.71496} +{"mode": "train", "epoch": 2, "iter": 7550, "lr": 5e-05, "memory": 9476, "data_time": 0.01722, "decode.loss_seg": 0.375, "decode.acc_seg": 84.46754, "src.loss_imnet_feat_dist": NaN, "time": 0.72143} +{"mode": "train", "epoch": 2, "iter": 7600, "lr": 5e-05, "memory": 9476, "data_time": 0.01684, "decode.loss_seg": 0.36116, "decode.acc_seg": 84.30313, "src.loss_imnet_feat_dist": NaN, "time": 0.7213} +{"mode": "train", "epoch": 2, "iter": 7650, "lr": 5e-05, "memory": 9476, "data_time": 0.01956, "decode.loss_seg": 0.38155, "decode.acc_seg": 83.10786, "src.loss_imnet_feat_dist": NaN, "time": 0.72378} +{"mode": "train", "epoch": 2, "iter": 7700, "lr": 5e-05, "memory": 9476, "data_time": 0.01323, "decode.loss_seg": 0.4016, "decode.acc_seg": 83.57625, "src.loss_imnet_feat_dist": NaN, "time": 0.71745} +{"mode": "train", "epoch": 2, "iter": 7750, "lr": 5e-05, "memory": 9476, "data_time": 0.01252, "decode.loss_seg": 0.47219, "decode.acc_seg": 80.31348, "src.loss_imnet_feat_dist": NaN, "time": 0.71663} +{"mode": "train", "epoch": 2, "iter": 7800, "lr": 5e-05, "memory": 9476, "data_time": 0.02301, "decode.loss_seg": 0.31885, "decode.acc_seg": 84.8795, "src.loss_imnet_feat_dist": NaN, "time": 0.72793} +{"mode": "train", "epoch": 2, "iter": 7850, "lr": 5e-05, "memory": 9476, "data_time": 0.01256, "decode.loss_seg": 0.35572, "decode.acc_seg": 84.97429, "src.loss_imnet_feat_dist": NaN, "time": 0.71576} +{"mode": "train", "epoch": 2, "iter": 7900, "lr": 5e-05, "memory": 9476, "data_time": 0.01243, "decode.loss_seg": 0.37899, "decode.acc_seg": 83.62927, "src.loss_imnet_feat_dist": NaN, "time": 0.7169} +{"mode": "train", "epoch": 2, "iter": 7950, "lr": 5e-05, "memory": 9476, "data_time": 0.01253, "decode.loss_seg": 0.31876, "decode.acc_seg": 84.94994, "src.loss_imnet_feat_dist": NaN, "time": 0.71694} +{"mode": "train", "epoch": 2, "iter": 8000, "lr": 5e-05, "memory": 9476, "data_time": 0.0124, "decode.loss_seg": 0.32129, "decode.acc_seg": 85.2631, "src.loss_imnet_feat_dist": NaN, "time": 0.7165} +{"mode": "train", "epoch": 2, "iter": 8050, "lr": 5e-05, "memory": 9476, "data_time": 0.01244, "decode.loss_seg": 0.29883, "decode.acc_seg": 85.57132, "src.loss_imnet_feat_dist": NaN, "time": 0.71634} +{"mode": "train", "epoch": 2, "iter": 8100, "lr": 5e-05, "memory": 9476, "data_time": 0.01341, "decode.loss_seg": 0.32198, "decode.acc_seg": 84.54065, "src.loss_imnet_feat_dist": NaN, "time": 0.71771} +{"mode": "train", "epoch": 2, "iter": 8150, "lr": 5e-05, "memory": 9476, "data_time": 0.01253, "decode.loss_seg": 0.40242, "decode.acc_seg": 84.59773, "src.loss_imnet_feat_dist": NaN, "time": 0.71702} +{"mode": "train", "epoch": 2, "iter": 8200, "lr": 5e-05, "memory": 9476, "data_time": 0.01258, "decode.loss_seg": 0.35252, "decode.acc_seg": 84.85802, "src.loss_imnet_feat_dist": NaN, "time": 0.71762} +{"mode": "train", "epoch": 2, "iter": 8250, "lr": 5e-05, "memory": 9476, "data_time": 0.01421, "decode.loss_seg": 0.30598, "decode.acc_seg": 84.79559, "src.loss_imnet_feat_dist": NaN, "time": 0.71928} +{"mode": "train", "epoch": 2, "iter": 8300, "lr": 5e-05, "memory": 9476, "data_time": 0.0125, "decode.loss_seg": 0.32486, "decode.acc_seg": 84.32289, "src.loss_imnet_feat_dist": NaN, "time": 0.71615} +{"mode": "train", "epoch": 2, "iter": 8350, "lr": 5e-05, "memory": 9476, "data_time": 0.0124, "decode.loss_seg": 0.31279, "decode.acc_seg": 84.66364, "src.loss_imnet_feat_dist": NaN, "time": 0.71696} +{"mode": "train", "epoch": 2, "iter": 8400, "lr": 5e-05, "memory": 9476, "data_time": 0.01242, "decode.loss_seg": 0.34269, "decode.acc_seg": 85.2473, "src.loss_imnet_feat_dist": NaN, "time": 0.71669} +{"mode": "train", "epoch": 2, "iter": 8450, "lr": 5e-05, "memory": 9476, "data_time": 0.01234, "decode.loss_seg": 0.2887, "decode.acc_seg": 83.88539, "src.loss_imnet_feat_dist": NaN, "time": 0.71723} +{"mode": "train", "epoch": 2, "iter": 8500, "lr": 5e-05, "memory": 9476, "data_time": 0.01853, "decode.loss_seg": 0.30643, "decode.acc_seg": 84.95833, "src.loss_imnet_feat_dist": NaN, "time": 0.72418} +{"mode": "train", "epoch": 2, "iter": 8550, "lr": 5e-05, "memory": 9476, "data_time": 0.01771, "decode.loss_seg": 0.30923, "decode.acc_seg": 85.45243, "src.loss_imnet_feat_dist": NaN, "time": 0.72272} +{"mode": "train", "epoch": 2, "iter": 8600, "lr": 5e-05, "memory": 9476, "data_time": 0.04719, "decode.loss_seg": 0.27967, "decode.acc_seg": 85.40024, "src.loss_imnet_feat_dist": NaN, "time": 0.75372} +{"mode": "train", "epoch": 2, "iter": 8650, "lr": 5e-05, "memory": 9476, "data_time": 0.01461, "decode.loss_seg": 0.34133, "decode.acc_seg": 84.96016, "src.loss_imnet_feat_dist": 0.10314, "time": 0.71789} +{"mode": "train", "epoch": 2, "iter": 8700, "lr": 5e-05, "memory": 9476, "data_time": 0.01211, "decode.loss_seg": 0.34286, "decode.acc_seg": 82.81023, "src.loss_imnet_feat_dist": NaN, "time": 0.7159} +{"mode": "train", "epoch": 2, "iter": 8750, "lr": 5e-05, "memory": 9476, "data_time": 0.01344, "decode.loss_seg": 0.34359, "decode.acc_seg": 82.59263, "src.loss_imnet_feat_dist": NaN, "time": 0.7171} +{"mode": "train", "epoch": 2, "iter": 8800, "lr": 5e-05, "memory": 9476, "data_time": 0.01591, "decode.loss_seg": 0.30667, "decode.acc_seg": 84.1073, "src.loss_imnet_feat_dist": NaN, "time": 0.72022} +{"mode": "train", "epoch": 2, "iter": 8850, "lr": 5e-05, "memory": 9476, "data_time": 0.01213, "decode.loss_seg": 0.31631, "decode.acc_seg": 84.67297, "src.loss_imnet_feat_dist": NaN, "time": 0.71651} +{"mode": "train", "epoch": 2, "iter": 8900, "lr": 5e-05, "memory": 9476, "data_time": 0.01203, "decode.loss_seg": 0.33408, "decode.acc_seg": 83.90347, "src.loss_imnet_feat_dist": NaN, "time": 0.71684} +{"mode": "train", "epoch": 2, "iter": 8950, "lr": 5e-05, "memory": 9476, "data_time": 0.01211, "decode.loss_seg": 0.31955, "decode.acc_seg": 84.81924, "src.loss_imnet_feat_dist": NaN, "time": 0.71625} +{"mode": "train", "epoch": 2, "iter": 9000, "lr": 5e-05, "memory": 9476, "data_time": 0.01459, "decode.loss_seg": 0.32872, "decode.acc_seg": 84.60128, "src.loss_imnet_feat_dist": NaN, "time": 0.71962} +{"mode": "train", "epoch": 2, "iter": 9050, "lr": 5e-05, "memory": 9476, "data_time": 0.01243, "decode.loss_seg": 0.28275, "decode.acc_seg": 86.15944, "src.loss_imnet_feat_dist": NaN, "time": 0.71716} +{"mode": "train", "epoch": 2, "iter": 9100, "lr": 5e-05, "memory": 9476, "data_time": 0.01223, "decode.loss_seg": 0.31669, "decode.acc_seg": 85.48246, "src.loss_imnet_feat_dist": NaN, "time": 0.71633} +{"mode": "train", "epoch": 2, "iter": 9150, "lr": 5e-05, "memory": 9476, "data_time": 0.01235, "decode.loss_seg": 0.29037, "decode.acc_seg": 85.1247, "src.loss_imnet_feat_dist": NaN, "time": 0.71878} +{"mode": "train", "epoch": 2, "iter": 9200, "lr": 5e-05, "memory": 9476, "data_time": 0.01244, "decode.loss_seg": 0.41468, "decode.acc_seg": 81.27702, "src.loss_imnet_feat_dist": NaN, "time": 0.71809} +{"mode": "train", "epoch": 2, "iter": 9250, "lr": 5e-05, "memory": 9476, "data_time": 0.02288, "decode.loss_seg": 0.31702, "decode.acc_seg": 85.51205, "src.loss_imnet_feat_dist": NaN, "time": 0.72976} +{"mode": "train", "epoch": 2, "iter": 9300, "lr": 5e-05, "memory": 9476, "data_time": 0.0122, "decode.loss_seg": 0.32921, "decode.acc_seg": 82.019, "src.loss_imnet_feat_dist": NaN, "time": 0.71691} +{"mode": "train", "epoch": 2, "iter": 9350, "lr": 5e-05, "memory": 9476, "data_time": 0.01618, "decode.loss_seg": 0.32435, "decode.acc_seg": 85.35484, "src.loss_imnet_feat_dist": NaN, "time": 0.71984} +{"mode": "train", "epoch": 2, "iter": 9400, "lr": 5e-05, "memory": 9476, "data_time": 0.01562, "decode.loss_seg": 0.30207, "decode.acc_seg": 85.87703, "src.loss_imnet_feat_dist": NaN, "time": 0.72206} +{"mode": "train", "epoch": 2, "iter": 9450, "lr": 5e-05, "memory": 9476, "data_time": 0.0126, "decode.loss_seg": 0.38055, "decode.acc_seg": 81.81023, "src.loss_imnet_feat_dist": 0.11161, "time": 0.71874} +{"mode": "train", "epoch": 2, "iter": 9500, "lr": 5e-05, "memory": 9476, "data_time": 0.01294, "decode.loss_seg": 0.38094, "decode.acc_seg": 83.64844, "src.loss_imnet_feat_dist": NaN, "time": 0.71784} +{"mode": "train", "epoch": 2, "iter": 9550, "lr": 5e-05, "memory": 9476, "data_time": 0.01243, "decode.loss_seg": 0.28275, "decode.acc_seg": 86.22435, "src.loss_imnet_feat_dist": NaN, "time": 0.72029} +{"mode": "train", "epoch": 2, "iter": 9600, "lr": 5e-05, "memory": 9476, "data_time": 0.01532, "decode.loss_seg": 0.30565, "decode.acc_seg": 86.33561, "src.loss_imnet_feat_dist": NaN, "time": 0.72019} +{"mode": "train", "epoch": 2, "iter": 9650, "lr": 5e-05, "memory": 9476, "data_time": 0.01559, "decode.loss_seg": 0.3271, "decode.acc_seg": 83.84469, "src.loss_imnet_feat_dist": NaN, "time": 0.72059} +{"mode": "train", "epoch": 2, "iter": 9700, "lr": 5e-05, "memory": 9476, "data_time": 0.01222, "decode.loss_seg": 0.30776, "decode.acc_seg": 85.50578, "src.loss_imnet_feat_dist": 0.1098, "time": 0.71634} +{"mode": "train", "epoch": 2, "iter": 9750, "lr": 5e-05, "memory": 9476, "data_time": 0.01232, "decode.loss_seg": 0.32442, "decode.acc_seg": 84.55324, "src.loss_imnet_feat_dist": NaN, "time": 0.71726} +{"mode": "train", "epoch": 2, "iter": 9800, "lr": 5e-05, "memory": 9476, "data_time": 0.01241, "decode.loss_seg": 0.37044, "decode.acc_seg": 83.64886, "src.loss_imnet_feat_dist": NaN, "time": 0.71702} +{"mode": "train", "epoch": 2, "iter": 9850, "lr": 5e-05, "memory": 9476, "data_time": 0.01248, "decode.loss_seg": 0.39163, "decode.acc_seg": 82.73791, "src.loss_imnet_feat_dist": NaN, "time": 0.71715} +{"mode": "train", "epoch": 2, "iter": 9900, "lr": 5e-05, "memory": 9476, "data_time": 0.01594, "decode.loss_seg": 0.33316, "decode.acc_seg": 84.59415, "src.loss_imnet_feat_dist": NaN, "time": 0.72163} +{"mode": "train", "epoch": 2, "iter": 9950, "lr": 5e-05, "memory": 9476, "data_time": 0.01247, "decode.loss_seg": 0.3271, "decode.acc_seg": 84.77929, "src.loss_imnet_feat_dist": NaN, "time": 0.7173} +{"mode": "train", "epoch": 2, "iter": 10000, "lr": 5e-05, "memory": 9476, "data_time": 0.01542, "decode.loss_seg": 0.29523, "decode.acc_seg": 84.91383, "src.loss_imnet_feat_dist": NaN, "time": 0.71964} +{"mode": "train", "epoch": 2, "iter": 10050, "lr": 4e-05, "memory": 9476, "data_time": 0.02328, "decode.loss_seg": 0.31879, "decode.acc_seg": 85.1356, "src.loss_imnet_feat_dist": NaN, "time": 0.72886} +{"mode": "train", "epoch": 2, "iter": 10100, "lr": 4e-05, "memory": 9476, "data_time": 0.01657, "decode.loss_seg": 0.30856, "decode.acc_seg": 86.09374, "src.loss_imnet_feat_dist": NaN, "time": 0.72067} +{"mode": "train", "epoch": 2, "iter": 10150, "lr": 4e-05, "memory": 9476, "data_time": 0.01327, "decode.loss_seg": 0.3524, "decode.acc_seg": 84.44201, "src.loss_imnet_feat_dist": NaN, "time": 0.71729} +{"mode": "train", "epoch": 2, "iter": 10200, "lr": 4e-05, "memory": 9476, "data_time": 0.01577, "decode.loss_seg": 0.32919, "decode.acc_seg": 83.5517, "src.loss_imnet_feat_dist": 0.11472, "time": 0.72026} +{"mode": "train", "epoch": 2, "iter": 10250, "lr": 4e-05, "memory": 9476, "data_time": 0.01562, "decode.loss_seg": 0.30774, "decode.acc_seg": 84.98594, "src.loss_imnet_feat_dist": NaN, "time": 0.72125} +{"mode": "train", "epoch": 2, "iter": 10300, "lr": 4e-05, "memory": 9476, "data_time": 0.01253, "decode.loss_seg": 0.36926, "decode.acc_seg": 83.70021, "src.loss_imnet_feat_dist": NaN, "time": 0.71775} +{"mode": "train", "epoch": 2, "iter": 10350, "lr": 4e-05, "memory": 9476, "data_time": 0.01251, "decode.loss_seg": 0.33804, "decode.acc_seg": 85.5733, "src.loss_imnet_feat_dist": NaN, "time": 0.71714} +{"mode": "train", "epoch": 2, "iter": 10400, "lr": 4e-05, "memory": 9476, "data_time": 0.01451, "decode.loss_seg": 0.28788, "decode.acc_seg": 86.96075, "src.loss_imnet_feat_dist": NaN, "time": 0.71904} +{"mode": "train", "epoch": 2, "iter": 10450, "lr": 4e-05, "memory": 9476, "data_time": 0.01308, "decode.loss_seg": 0.35391, "decode.acc_seg": 85.37398, "src.loss_imnet_feat_dist": NaN, "time": 0.71825} +{"mode": "train", "epoch": 2, "iter": 10500, "lr": 4e-05, "memory": 9476, "data_time": 0.01712, "decode.loss_seg": 0.31754, "decode.acc_seg": 84.4027, "src.loss_imnet_feat_dist": NaN, "time": 0.72174} +{"mode": "train", "epoch": 2, "iter": 10550, "lr": 4e-05, "memory": 9476, "data_time": 0.01253, "decode.loss_seg": 0.31486, "decode.acc_seg": 85.76188, "src.loss_imnet_feat_dist": NaN, "time": 0.71721} +{"mode": "train", "epoch": 2, "iter": 10600, "lr": 4e-05, "memory": 9476, "data_time": 0.01245, "decode.loss_seg": 0.36931, "decode.acc_seg": 83.69032, "src.loss_imnet_feat_dist": NaN, "time": 0.7171} +{"mode": "train", "epoch": 2, "iter": 10650, "lr": 4e-05, "memory": 9476, "data_time": 0.0125, "decode.loss_seg": 0.31576, "decode.acc_seg": 84.62559, "src.loss_imnet_feat_dist": 0.11403, "time": 0.71661} +{"mode": "train", "epoch": 2, "iter": 10700, "lr": 4e-05, "memory": 9476, "data_time": 0.01633, "decode.loss_seg": 0.33086, "decode.acc_seg": 85.13686, "src.loss_imnet_feat_dist": NaN, "time": 0.72166} +{"mode": "train", "epoch": 2, "iter": 10750, "lr": 4e-05, "memory": 9476, "data_time": 0.0235, "decode.loss_seg": 0.26095, "decode.acc_seg": 86.32637, "src.loss_imnet_feat_dist": NaN, "time": 0.72914} +{"mode": "train", "epoch": 2, "iter": 10800, "lr": 4e-05, "memory": 9476, "data_time": 0.01907, "decode.loss_seg": 0.27455, "decode.acc_seg": 84.96405, "src.loss_imnet_feat_dist": NaN, "time": 0.72442} +{"mode": "train", "epoch": 2, "iter": 10850, "lr": 4e-05, "memory": 9476, "data_time": 0.01243, "decode.loss_seg": 0.3864, "decode.acc_seg": 84.07899, "src.loss_imnet_feat_dist": NaN, "time": 0.71531} +{"mode": "train", "epoch": 2, "iter": 10900, "lr": 4e-05, "memory": 9476, "data_time": 0.01245, "decode.loss_seg": 0.32054, "decode.acc_seg": 83.99849, "src.loss_imnet_feat_dist": NaN, "time": 0.71753} +{"mode": "train", "epoch": 2, "iter": 10950, "lr": 4e-05, "memory": 9476, "data_time": 0.02129, "decode.loss_seg": 0.31094, "decode.acc_seg": 83.91151, "src.loss_imnet_feat_dist": NaN, "time": 0.72528} +{"mode": "train", "epoch": 2, "iter": 11000, "lr": 4e-05, "memory": 9476, "data_time": 0.01669, "decode.loss_seg": 0.28535, "decode.acc_seg": 85.46889, "src.loss_imnet_feat_dist": NaN, "time": 0.72264} +{"mode": "train", "epoch": 2, "iter": 11050, "lr": 4e-05, "memory": 9476, "data_time": 0.0126, "decode.loss_seg": 0.35233, "decode.acc_seg": 84.81721, "src.loss_imnet_feat_dist": NaN, "time": 0.71745} +{"mode": "train", "epoch": 2, "iter": 11100, "lr": 4e-05, "memory": 9476, "data_time": 0.0126, "decode.loss_seg": 0.27221, "decode.acc_seg": 85.75458, "src.loss_imnet_feat_dist": NaN, "time": 0.71641} +{"mode": "train", "epoch": 2, "iter": 11150, "lr": 4e-05, "memory": 9476, "data_time": 0.01274, "decode.loss_seg": 0.35283, "decode.acc_seg": 84.48971, "src.loss_imnet_feat_dist": NaN, "time": 0.71587} +{"mode": "train", "epoch": 2, "iter": 11200, "lr": 4e-05, "memory": 9476, "data_time": 0.01259, "decode.loss_seg": 0.29897, "decode.acc_seg": 86.01682, "src.loss_imnet_feat_dist": NaN, "time": 0.71735} +{"mode": "train", "epoch": 2, "iter": 11250, "lr": 4e-05, "memory": 9476, "data_time": 0.01244, "decode.loss_seg": 0.33904, "decode.acc_seg": 82.64808, "src.loss_imnet_feat_dist": NaN, "time": 0.71596} +{"mode": "train", "epoch": 2, "iter": 11300, "lr": 4e-05, "memory": 9476, "data_time": 0.02198, "decode.loss_seg": 0.31061, "decode.acc_seg": 84.67276, "src.loss_imnet_feat_dist": NaN, "time": 0.72638} +{"mode": "train", "epoch": 2, "iter": 11350, "lr": 4e-05, "memory": 9476, "data_time": 0.01467, "decode.loss_seg": 0.33641, "decode.acc_seg": 84.55405, "src.loss_imnet_feat_dist": NaN, "time": 0.71845} +{"mode": "train", "epoch": 2, "iter": 11400, "lr": 4e-05, "memory": 9476, "data_time": 0.04435, "decode.loss_seg": 0.33378, "decode.acc_seg": 84.31976, "src.loss_imnet_feat_dist": 0.11727, "time": 0.74838} +{"mode": "train", "epoch": 2, "iter": 11450, "lr": 4e-05, "memory": 9476, "data_time": 0.01652, "decode.loss_seg": 0.29657, "decode.acc_seg": 86.11692, "src.loss_imnet_feat_dist": 0.11562, "time": 0.71927} +{"mode": "train", "epoch": 2, "iter": 11500, "lr": 4e-05, "memory": 9476, "data_time": 0.01262, "decode.loss_seg": 0.35205, "decode.acc_seg": 82.88408, "src.loss_imnet_feat_dist": NaN, "time": 0.71616} +{"mode": "train", "epoch": 2, "iter": 11550, "lr": 4e-05, "memory": 9476, "data_time": 0.02963, "decode.loss_seg": 0.32292, "decode.acc_seg": 85.36089, "src.loss_imnet_feat_dist": NaN, "time": 0.73658} +{"mode": "train", "epoch": 2, "iter": 11600, "lr": 4e-05, "memory": 9476, "data_time": 0.01294, "decode.loss_seg": 0.29663, "decode.acc_seg": 86.64699, "src.loss_imnet_feat_dist": NaN, "time": 0.71745} +{"mode": "train", "epoch": 2, "iter": 11650, "lr": 4e-05, "memory": 9476, "data_time": 0.0142, "decode.loss_seg": 0.35208, "decode.acc_seg": 83.51745, "src.loss_imnet_feat_dist": 0.10764, "time": 0.71946} +{"mode": "train", "epoch": 2, "iter": 11700, "lr": 4e-05, "memory": 9476, "data_time": 0.01261, "decode.loss_seg": 0.29488, "decode.acc_seg": 85.55074, "src.loss_imnet_feat_dist": NaN, "time": 0.71763} +{"mode": "train", "epoch": 2, "iter": 11750, "lr": 4e-05, "memory": 9476, "data_time": 0.01259, "decode.loss_seg": 0.31127, "decode.acc_seg": 85.41859, "src.loss_imnet_feat_dist": NaN, "time": 0.71856} +{"mode": "train", "epoch": 2, "iter": 11800, "lr": 4e-05, "memory": 9476, "data_time": 0.01244, "decode.loss_seg": 0.40032, "decode.acc_seg": 83.34342, "src.loss_imnet_feat_dist": NaN, "time": 0.71735} +{"mode": "train", "epoch": 2, "iter": 11850, "lr": 4e-05, "memory": 9476, "data_time": 0.01515, "decode.loss_seg": 0.31214, "decode.acc_seg": 85.96311, "src.loss_imnet_feat_dist": NaN, "time": 0.72031} +{"mode": "train", "epoch": 2, "iter": 11900, "lr": 4e-05, "memory": 9476, "data_time": 0.01253, "decode.loss_seg": 0.37159, "decode.acc_seg": 83.59607, "src.loss_imnet_feat_dist": NaN, "time": 0.71838} +{"mode": "train", "epoch": 2, "iter": 11950, "lr": 4e-05, "memory": 9476, "data_time": 0.01747, "decode.loss_seg": 0.3226, "decode.acc_seg": 85.25796, "src.loss_imnet_feat_dist": NaN, "time": 0.72273} +{"mode": "train", "epoch": 2, "iter": 12000, "lr": 4e-05, "memory": 9476, "data_time": 0.01245, "decode.loss_seg": 0.26693, "decode.acc_seg": 86.25517, "src.loss_imnet_feat_dist": NaN, "time": 0.71781} +{"mode": "train", "epoch": 2, "iter": 12050, "lr": 4e-05, "memory": 9476, "data_time": 0.01253, "decode.loss_seg": 0.29161, "decode.acc_seg": 85.00127, "src.loss_imnet_feat_dist": NaN, "time": 0.71762} +{"mode": "train", "epoch": 2, "iter": 12100, "lr": 4e-05, "memory": 9476, "data_time": 0.01255, "decode.loss_seg": 0.37346, "decode.acc_seg": 83.957, "src.loss_imnet_feat_dist": NaN, "time": 0.71728} +{"mode": "train", "epoch": 2, "iter": 12150, "lr": 4e-05, "memory": 9476, "data_time": 0.01249, "decode.loss_seg": 0.31764, "decode.acc_seg": 84.61834, "src.loss_imnet_feat_dist": NaN, "time": 0.71695} +{"mode": "train", "epoch": 2, "iter": 12200, "lr": 4e-05, "memory": 9476, "data_time": 0.01257, "decode.loss_seg": 0.36825, "decode.acc_seg": 83.02565, "src.loss_imnet_feat_dist": NaN, "time": 0.71647} +{"mode": "train", "epoch": 2, "iter": 12250, "lr": 4e-05, "memory": 9476, "data_time": 0.01248, "decode.loss_seg": 0.32743, "decode.acc_seg": 84.01288, "src.loss_imnet_feat_dist": NaN, "time": 0.71805} +{"mode": "train", "epoch": 2, "iter": 12300, "lr": 4e-05, "memory": 9476, "data_time": 0.01256, "decode.loss_seg": 0.33623, "decode.acc_seg": 84.53103, "src.loss_imnet_feat_dist": NaN, "time": 0.71714} +{"mode": "train", "epoch": 2, "iter": 12350, "lr": 4e-05, "memory": 9476, "data_time": 0.01254, "decode.loss_seg": 0.31467, "decode.acc_seg": 85.48038, "src.loss_imnet_feat_dist": NaN, "time": 0.71794} +{"mode": "train", "epoch": 2, "iter": 12400, "lr": 4e-05, "memory": 9476, "data_time": 0.01286, "decode.loss_seg": 0.25784, "decode.acc_seg": 86.8118, "src.loss_imnet_feat_dist": NaN, "time": 0.71743} +{"mode": "train", "epoch": 2, "iter": 12450, "lr": 4e-05, "memory": 9476, "data_time": 0.01514, "decode.loss_seg": 0.36954, "decode.acc_seg": 85.05065, "src.loss_imnet_feat_dist": NaN, "time": 0.72038} +{"mode": "train", "epoch": 2, "iter": 12500, "lr": 4e-05, "memory": 9476, "data_time": 0.01257, "decode.loss_seg": 0.32921, "decode.acc_seg": 84.93086, "src.loss_imnet_feat_dist": NaN, "time": 0.7177} +{"mode": "train", "epoch": 2, "iter": 12550, "lr": 4e-05, "memory": 9476, "data_time": 0.0126, "decode.loss_seg": 0.30756, "decode.acc_seg": 86.02206, "src.loss_imnet_feat_dist": 0.10928, "time": 0.71636} +{"mode": "train", "epoch": 2, "iter": 12600, "lr": 4e-05, "memory": 9476, "data_time": 0.01253, "decode.loss_seg": 0.40501, "decode.acc_seg": 83.53862, "src.loss_imnet_feat_dist": NaN, "time": 0.71715} +{"mode": "train", "epoch": 2, "iter": 12650, "lr": 4e-05, "memory": 9476, "data_time": 0.01258, "decode.loss_seg": 0.3324, "decode.acc_seg": 85.61162, "src.loss_imnet_feat_dist": NaN, "time": 0.71786} +{"mode": "train", "epoch": 2, "iter": 12700, "lr": 4e-05, "memory": 9476, "data_time": 0.01245, "decode.loss_seg": 0.34378, "decode.acc_seg": 84.39814, "src.loss_imnet_feat_dist": NaN, "time": 0.71709} +{"mode": "train", "epoch": 2, "iter": 12750, "lr": 4e-05, "memory": 9476, "data_time": 0.01549, "decode.loss_seg": 0.33688, "decode.acc_seg": 85.89505, "src.loss_imnet_feat_dist": 0.11559, "time": 0.72119} +{"mode": "train", "epoch": 2, "iter": 12800, "lr": 4e-05, "memory": 9476, "data_time": 0.01957, "decode.loss_seg": 0.30681, "decode.acc_seg": 85.10994, "src.loss_imnet_feat_dist": NaN, "time": 0.72429} +{"mode": "train", "epoch": 2, "iter": 12850, "lr": 4e-05, "memory": 9476, "data_time": 0.02161, "decode.loss_seg": 0.25811, "decode.acc_seg": 85.52578, "src.loss_imnet_feat_dist": NaN, "time": 0.72638} +{"mode": "train", "epoch": 2, "iter": 12900, "lr": 4e-05, "memory": 9476, "data_time": 0.01495, "decode.loss_seg": 0.29502, "decode.acc_seg": 84.28008, "src.loss_imnet_feat_dist": NaN, "time": 0.71948} +{"mode": "train", "epoch": 2, "iter": 12950, "lr": 4e-05, "memory": 9476, "data_time": 0.01645, "decode.loss_seg": 0.2843, "decode.acc_seg": 84.5761, "src.loss_imnet_feat_dist": NaN, "time": 0.72129} +{"mode": "train", "epoch": 2, "iter": 13000, "lr": 4e-05, "memory": 9476, "data_time": 0.01257, "decode.loss_seg": 0.30454, "decode.acc_seg": 84.47194, "src.loss_imnet_feat_dist": NaN, "time": 0.71632} +{"mode": "train", "epoch": 3, "iter": 13050, "lr": 4e-05, "memory": 9476, "data_time": 0.03031, "decode.loss_seg": 0.29226, "decode.acc_seg": 85.44493, "src.loss_imnet_feat_dist": NaN, "time": 0.73467} +{"mode": "train", "epoch": 3, "iter": 13100, "lr": 4e-05, "memory": 9476, "data_time": 0.01283, "decode.loss_seg": 0.39869, "decode.acc_seg": 85.24636, "src.loss_imnet_feat_dist": NaN, "time": 0.71737} +{"mode": "train", "epoch": 3, "iter": 13150, "lr": 4e-05, "memory": 9476, "data_time": 0.01237, "decode.loss_seg": 0.31922, "decode.acc_seg": 84.19741, "src.loss_imnet_feat_dist": NaN, "time": 0.71534} +{"mode": "train", "epoch": 3, "iter": 13200, "lr": 4e-05, "memory": 9476, "data_time": 0.01242, "decode.loss_seg": 0.32631, "decode.acc_seg": 84.26285, "src.loss_imnet_feat_dist": NaN, "time": 0.71529} +{"mode": "train", "epoch": 3, "iter": 13250, "lr": 4e-05, "memory": 9476, "data_time": 0.0188, "decode.loss_seg": 0.27544, "decode.acc_seg": 84.49658, "src.loss_imnet_feat_dist": NaN, "time": 0.72301} +{"mode": "train", "epoch": 3, "iter": 13300, "lr": 4e-05, "memory": 9476, "data_time": 0.0125, "decode.loss_seg": 0.25393, "decode.acc_seg": 84.57816, "src.loss_imnet_feat_dist": NaN, "time": 0.71516} +{"mode": "train", "epoch": 3, "iter": 13350, "lr": 4e-05, "memory": 9476, "data_time": 0.01254, "decode.loss_seg": 0.24858, "decode.acc_seg": 88.25375, "src.loss_imnet_feat_dist": NaN, "time": 0.7153} +{"mode": "train", "epoch": 3, "iter": 13400, "lr": 4e-05, "memory": 9476, "data_time": 0.01588, "decode.loss_seg": 0.34514, "decode.acc_seg": 84.5541, "src.loss_imnet_feat_dist": NaN, "time": 0.71902} +{"mode": "train", "epoch": 3, "iter": 13450, "lr": 4e-05, "memory": 9476, "data_time": 0.01243, "decode.loss_seg": 0.31581, "decode.acc_seg": 85.55637, "src.loss_imnet_feat_dist": NaN, "time": 0.71561} +{"mode": "train", "epoch": 3, "iter": 13500, "lr": 4e-05, "memory": 9476, "data_time": 0.02073, "decode.loss_seg": 0.26324, "decode.acc_seg": 87.83935, "src.loss_imnet_feat_dist": NaN, "time": 0.72394} +{"mode": "train", "epoch": 3, "iter": 13550, "lr": 4e-05, "memory": 9476, "data_time": 0.01246, "decode.loss_seg": 0.21308, "decode.acc_seg": 87.86256, "src.loss_imnet_feat_dist": NaN, "time": 0.71579} +{"mode": "train", "epoch": 3, "iter": 13600, "lr": 4e-05, "memory": 9476, "data_time": 0.01647, "decode.loss_seg": 0.26182, "decode.acc_seg": 86.13336, "src.loss_imnet_feat_dist": NaN, "time": 0.72043} +{"mode": "train", "epoch": 3, "iter": 13650, "lr": 4e-05, "memory": 9476, "data_time": 0.02108, "decode.loss_seg": 0.30334, "decode.acc_seg": 84.60517, "src.loss_imnet_feat_dist": NaN, "time": 0.7238} +{"mode": "train", "epoch": 3, "iter": 13700, "lr": 4e-05, "memory": 9476, "data_time": 0.01278, "decode.loss_seg": 0.298, "decode.acc_seg": 85.40799, "src.loss_imnet_feat_dist": NaN, "time": 0.7163} +{"mode": "train", "epoch": 3, "iter": 13750, "lr": 4e-05, "memory": 9476, "data_time": 0.01963, "decode.loss_seg": 0.24676, "decode.acc_seg": 86.26859, "src.loss_imnet_feat_dist": NaN, "time": 0.72471} +{"mode": "train", "epoch": 3, "iter": 13800, "lr": 4e-05, "memory": 9476, "data_time": 0.0128, "decode.loss_seg": 0.267, "decode.acc_seg": 86.45623, "src.loss_imnet_feat_dist": NaN, "time": 0.7175} +{"mode": "train", "epoch": 3, "iter": 13850, "lr": 4e-05, "memory": 9476, "data_time": 0.01562, "decode.loss_seg": 0.30018, "decode.acc_seg": 86.28299, "src.loss_imnet_feat_dist": NaN, "time": 0.72052} +{"mode": "train", "epoch": 3, "iter": 13900, "lr": 4e-05, "memory": 9476, "data_time": 0.01225, "decode.loss_seg": 0.2726, "decode.acc_seg": 84.86926, "src.loss_imnet_feat_dist": NaN, "time": 0.71685} +{"mode": "train", "epoch": 3, "iter": 13950, "lr": 4e-05, "memory": 9476, "data_time": 0.01258, "decode.loss_seg": 0.2375, "decode.acc_seg": 86.69965, "src.loss_imnet_feat_dist": NaN, "time": 0.71751} +{"mode": "train", "epoch": 3, "iter": 14000, "lr": 4e-05, "memory": 9476, "data_time": 0.01252, "decode.loss_seg": 0.28767, "decode.acc_seg": 83.75044, "src.loss_imnet_feat_dist": 0.10354, "time": 0.71683} +{"mode": "train", "epoch": 3, "iter": 14050, "lr": 4e-05, "memory": 9476, "data_time": 0.01927, "decode.loss_seg": 0.25662, "decode.acc_seg": 86.02453, "src.loss_imnet_feat_dist": 0.10613, "time": 0.7237} +{"mode": "train", "epoch": 3, "iter": 14100, "lr": 4e-05, "memory": 9476, "data_time": 0.01473, "decode.loss_seg": 0.24781, "decode.acc_seg": 87.02384, "src.loss_imnet_feat_dist": NaN, "time": 0.71892} +{"mode": "train", "epoch": 3, "iter": 14150, "lr": 4e-05, "memory": 9476, "data_time": 0.0125, "decode.loss_seg": 0.3087, "decode.acc_seg": 84.00072, "src.loss_imnet_feat_dist": NaN, "time": 0.7171} +{"mode": "train", "epoch": 3, "iter": 14200, "lr": 4e-05, "memory": 9476, "data_time": 0.01224, "decode.loss_seg": 0.31419, "decode.acc_seg": 86.54317, "src.loss_imnet_feat_dist": NaN, "time": 0.7174} +{"mode": "train", "epoch": 3, "iter": 14250, "lr": 4e-05, "memory": 9476, "data_time": 0.01253, "decode.loss_seg": 0.33113, "decode.acc_seg": 83.79293, "src.loss_imnet_feat_dist": NaN, "time": 0.7167} +{"mode": "train", "epoch": 3, "iter": 14300, "lr": 4e-05, "memory": 9476, "data_time": 0.0179, "decode.loss_seg": 0.26033, "decode.acc_seg": 87.30094, "src.loss_imnet_feat_dist": NaN, "time": 0.72162} +{"mode": "train", "epoch": 3, "iter": 14350, "lr": 4e-05, "memory": 9476, "data_time": 0.01283, "decode.loss_seg": 0.31262, "decode.acc_seg": 84.73112, "src.loss_imnet_feat_dist": 0.10505, "time": 0.71694} +{"mode": "train", "epoch": 3, "iter": 14400, "lr": 4e-05, "memory": 9476, "data_time": 0.01708, "decode.loss_seg": 0.27622, "decode.acc_seg": 86.79258, "src.loss_imnet_feat_dist": NaN, "time": 0.72237} +{"mode": "train", "epoch": 3, "iter": 14450, "lr": 4e-05, "memory": 9476, "data_time": 0.01248, "decode.loss_seg": 0.23785, "decode.acc_seg": 87.6007, "src.loss_imnet_feat_dist": 0.10276, "time": 0.71685} +{"mode": "train", "epoch": 3, "iter": 14500, "lr": 4e-05, "memory": 9476, "data_time": 0.01588, "decode.loss_seg": 0.24995, "decode.acc_seg": 87.71537, "src.loss_imnet_feat_dist": NaN, "time": 0.72044} +{"mode": "train", "epoch": 3, "iter": 14550, "lr": 4e-05, "memory": 9476, "data_time": 0.02073, "decode.loss_seg": 0.22649, "decode.acc_seg": 86.73663, "src.loss_imnet_feat_dist": NaN, "time": 0.7251} +{"mode": "train", "epoch": 3, "iter": 14600, "lr": 4e-05, "memory": 9476, "data_time": 0.01549, "decode.loss_seg": 0.24201, "decode.acc_seg": 86.30746, "src.loss_imnet_feat_dist": NaN, "time": 0.72056} +{"mode": "train", "epoch": 3, "iter": 14650, "lr": 4e-05, "memory": 9476, "data_time": 0.01249, "decode.loss_seg": 0.27681, "decode.acc_seg": 86.33027, "src.loss_imnet_feat_dist": 0.10676, "time": 0.71754} +{"mode": "train", "epoch": 3, "iter": 14700, "lr": 4e-05, "memory": 9476, "data_time": 0.01231, "decode.loss_seg": 0.27999, "decode.acc_seg": 85.95996, "src.loss_imnet_feat_dist": 0.10168, "time": 0.71749} +{"mode": "train", "epoch": 3, "iter": 14750, "lr": 4e-05, "memory": 9476, "data_time": 0.0144, "decode.loss_seg": 0.27979, "decode.acc_seg": 86.75294, "src.loss_imnet_feat_dist": NaN, "time": 0.7197} +{"mode": "train", "epoch": 3, "iter": 14800, "lr": 4e-05, "memory": 9476, "data_time": 0.01249, "decode.loss_seg": 0.30635, "decode.acc_seg": 86.05862, "src.loss_imnet_feat_dist": NaN, "time": 0.71669} +{"mode": "train", "epoch": 3, "iter": 14850, "lr": 4e-05, "memory": 9476, "data_time": 0.01273, "decode.loss_seg": 0.3225, "decode.acc_seg": 84.92771, "src.loss_imnet_feat_dist": NaN, "time": 0.71672} +{"mode": "train", "epoch": 3, "iter": 14900, "lr": 4e-05, "memory": 9476, "data_time": 0.01263, "decode.loss_seg": 0.2618, "decode.acc_seg": 85.29283, "src.loss_imnet_feat_dist": NaN, "time": 0.71611} +{"mode": "train", "epoch": 3, "iter": 14950, "lr": 4e-05, "memory": 9476, "data_time": 0.01246, "decode.loss_seg": 0.2718, "decode.acc_seg": 85.84772, "src.loss_imnet_feat_dist": NaN, "time": 0.71828} +{"mode": "train", "epoch": 3, "iter": 15000, "lr": 4e-05, "memory": 9476, "data_time": 0.01564, "decode.loss_seg": 0.29422, "decode.acc_seg": 84.94151, "src.loss_imnet_feat_dist": 0.11159, "time": 0.71999} +{"mode": "train", "epoch": 3, "iter": 15050, "lr": 4e-05, "memory": 9476, "data_time": 0.01351, "decode.loss_seg": 0.2576, "decode.acc_seg": 88.51194, "src.loss_imnet_feat_dist": NaN, "time": 0.71701} +{"mode": "train", "epoch": 3, "iter": 15100, "lr": 4e-05, "memory": 9476, "data_time": 0.01959, "decode.loss_seg": 0.31482, "decode.acc_seg": 85.85656, "src.loss_imnet_feat_dist": NaN, "time": 0.72326} +{"mode": "train", "epoch": 3, "iter": 15150, "lr": 4e-05, "memory": 9476, "data_time": 0.01706, "decode.loss_seg": 0.27721, "decode.acc_seg": 87.87905, "src.loss_imnet_feat_dist": 0.10238, "time": 0.72275} +{"mode": "train", "epoch": 3, "iter": 15200, "lr": 4e-05, "memory": 9476, "data_time": 0.01268, "decode.loss_seg": 0.31198, "decode.acc_seg": 85.65663, "src.loss_imnet_feat_dist": NaN, "time": 0.71629} +{"mode": "train", "epoch": 3, "iter": 15250, "lr": 4e-05, "memory": 9476, "data_time": 0.0193, "decode.loss_seg": 0.24844, "decode.acc_seg": 86.47067, "src.loss_imnet_feat_dist": NaN, "time": 0.72526} +{"mode": "train", "epoch": 3, "iter": 15300, "lr": 4e-05, "memory": 9476, "data_time": 0.0124, "decode.loss_seg": 0.28202, "decode.acc_seg": 85.6771, "src.loss_imnet_feat_dist": NaN, "time": 0.71607} +{"mode": "train", "epoch": 3, "iter": 15350, "lr": 4e-05, "memory": 9476, "data_time": 0.01239, "decode.loss_seg": 0.24582, "decode.acc_seg": 86.49078, "src.loss_imnet_feat_dist": NaN, "time": 0.71532} +{"mode": "train", "epoch": 3, "iter": 15400, "lr": 4e-05, "memory": 9476, "data_time": 0.01285, "decode.loss_seg": 0.28868, "decode.acc_seg": 84.75435, "src.loss_imnet_feat_dist": 0.11197, "time": 0.71636} +{"mode": "train", "epoch": 3, "iter": 15450, "lr": 4e-05, "memory": 9476, "data_time": 0.01266, "decode.loss_seg": 0.2622, "decode.acc_seg": 86.71326, "src.loss_imnet_feat_dist": NaN, "time": 0.71603} +{"mode": "train", "epoch": 3, "iter": 15500, "lr": 4e-05, "memory": 9476, "data_time": 0.01266, "decode.loss_seg": 0.25601, "decode.acc_seg": 86.66397, "src.loss_imnet_feat_dist": NaN, "time": 0.71596} +{"mode": "train", "epoch": 3, "iter": 15550, "lr": 4e-05, "memory": 9476, "data_time": 0.01625, "decode.loss_seg": 0.28773, "decode.acc_seg": 86.30954, "src.loss_imnet_feat_dist": NaN, "time": 0.72113} +{"mode": "train", "epoch": 3, "iter": 15600, "lr": 4e-05, "memory": 9476, "data_time": 0.01227, "decode.loss_seg": 0.26386, "decode.acc_seg": 86.0245, "src.loss_imnet_feat_dist": NaN, "time": 0.71495} +{"mode": "train", "epoch": 3, "iter": 15650, "lr": 4e-05, "memory": 9476, "data_time": 0.01548, "decode.loss_seg": 0.3403, "decode.acc_seg": 84.61757, "src.loss_imnet_feat_dist": NaN, "time": 0.7189} +{"mode": "train", "epoch": 3, "iter": 15700, "lr": 4e-05, "memory": 9476, "data_time": 0.02179, "decode.loss_seg": 0.29504, "decode.acc_seg": 85.94511, "src.loss_imnet_feat_dist": NaN, "time": 0.72528} +{"mode": "train", "epoch": 3, "iter": 15750, "lr": 4e-05, "memory": 9476, "data_time": 0.01299, "decode.loss_seg": 0.25932, "decode.acc_seg": 84.42632, "src.loss_imnet_feat_dist": 0.11139, "time": 0.71752} +{"mode": "train", "epoch": 3, "iter": 15800, "lr": 4e-05, "memory": 9476, "data_time": 0.0134, "decode.loss_seg": 0.29532, "decode.acc_seg": 85.99881, "src.loss_imnet_feat_dist": NaN, "time": 0.71539} +{"mode": "train", "epoch": 3, "iter": 15850, "lr": 4e-05, "memory": 9476, "data_time": 0.01699, "decode.loss_seg": 0.30217, "decode.acc_seg": 84.67411, "src.loss_imnet_feat_dist": NaN, "time": 0.72015} +{"mode": "train", "epoch": 3, "iter": 15900, "lr": 4e-05, "memory": 9476, "data_time": 0.0124, "decode.loss_seg": 0.24068, "decode.acc_seg": 87.53975, "src.loss_imnet_feat_dist": NaN, "time": 0.71727} +{"mode": "train", "epoch": 3, "iter": 15950, "lr": 4e-05, "memory": 9476, "data_time": 0.01262, "decode.loss_seg": 0.29994, "decode.acc_seg": 85.43853, "src.loss_imnet_feat_dist": NaN, "time": 0.71612} +{"mode": "train", "epoch": 3, "iter": 16000, "lr": 4e-05, "memory": 9476, "data_time": 0.01282, "decode.loss_seg": 0.29416, "decode.acc_seg": 84.39097, "src.loss_imnet_feat_dist": NaN, "time": 0.71627} +{"mode": "train", "epoch": 3, "iter": 16050, "lr": 4e-05, "memory": 9476, "data_time": 0.01812, "decode.loss_seg": 0.257, "decode.acc_seg": 87.09827, "src.loss_imnet_feat_dist": NaN, "time": 0.72179} +{"mode": "train", "epoch": 3, "iter": 16100, "lr": 4e-05, "memory": 9476, "data_time": 0.01284, "decode.loss_seg": 0.24967, "decode.acc_seg": 86.77523, "src.loss_imnet_feat_dist": NaN, "time": 0.71542} +{"mode": "train", "epoch": 3, "iter": 16150, "lr": 4e-05, "memory": 9476, "data_time": 0.01611, "decode.loss_seg": 0.26153, "decode.acc_seg": 85.58769, "src.loss_imnet_feat_dist": NaN, "time": 0.71981} +{"mode": "train", "epoch": 3, "iter": 16200, "lr": 4e-05, "memory": 9476, "data_time": 0.01684, "decode.loss_seg": 0.26026, "decode.acc_seg": 87.04738, "src.loss_imnet_feat_dist": 0.10691, "time": 0.72002} +{"mode": "train", "epoch": 3, "iter": 16250, "lr": 4e-05, "memory": 9476, "data_time": 0.01361, "decode.loss_seg": 0.28755, "decode.acc_seg": 87.00764, "src.loss_imnet_feat_dist": NaN, "time": 0.71679} +{"mode": "train", "epoch": 3, "iter": 16300, "lr": 4e-05, "memory": 9476, "data_time": 0.01266, "decode.loss_seg": 0.30364, "decode.acc_seg": 86.79994, "src.loss_imnet_feat_dist": 0.11492, "time": 0.71683} +{"mode": "train", "epoch": 3, "iter": 16350, "lr": 4e-05, "memory": 9476, "data_time": 0.01254, "decode.loss_seg": 0.26078, "decode.acc_seg": 85.0923, "src.loss_imnet_feat_dist": NaN, "time": 0.71653} +{"mode": "train", "epoch": 3, "iter": 16400, "lr": 4e-05, "memory": 9476, "data_time": 0.01276, "decode.loss_seg": 0.25075, "decode.acc_seg": 87.84082, "src.loss_imnet_feat_dist": NaN, "time": 0.71665} +{"mode": "train", "epoch": 3, "iter": 16450, "lr": 4e-05, "memory": 9476, "data_time": 0.01346, "decode.loss_seg": 0.25525, "decode.acc_seg": 86.97587, "src.loss_imnet_feat_dist": NaN, "time": 0.7168} +{"mode": "train", "epoch": 3, "iter": 16500, "lr": 4e-05, "memory": 9476, "data_time": 0.01504, "decode.loss_seg": 0.31007, "decode.acc_seg": 84.30483, "src.loss_imnet_feat_dist": NaN, "time": 0.71906} +{"mode": "train", "epoch": 3, "iter": 16550, "lr": 4e-05, "memory": 9476, "data_time": 0.0128, "decode.loss_seg": 0.2363, "decode.acc_seg": 85.60477, "src.loss_imnet_feat_dist": 0.11098, "time": 0.71548} +{"mode": "train", "epoch": 3, "iter": 16600, "lr": 4e-05, "memory": 9476, "data_time": 0.01314, "decode.loss_seg": 0.26386, "decode.acc_seg": 85.7582, "src.loss_imnet_feat_dist": NaN, "time": 0.71717} +{"mode": "train", "epoch": 3, "iter": 16650, "lr": 4e-05, "memory": 9476, "data_time": 0.01338, "decode.loss_seg": 0.27351, "decode.acc_seg": 85.47271, "src.loss_imnet_feat_dist": NaN, "time": 0.71739} +{"mode": "train", "epoch": 3, "iter": 16700, "lr": 3e-05, "memory": 9476, "data_time": 0.0129, "decode.loss_seg": 0.30688, "decode.acc_seg": 85.3613, "src.loss_imnet_feat_dist": NaN, "time": 0.71549} +{"mode": "train", "epoch": 3, "iter": 16750, "lr": 3e-05, "memory": 9476, "data_time": 0.0129, "decode.loss_seg": 0.25965, "decode.acc_seg": 84.61568, "src.loss_imnet_feat_dist": NaN, "time": 0.71775} +{"mode": "train", "epoch": 3, "iter": 16800, "lr": 3e-05, "memory": 9476, "data_time": 0.01268, "decode.loss_seg": 0.23796, "decode.acc_seg": 86.89153, "src.loss_imnet_feat_dist": NaN, "time": 0.71635} +{"mode": "train", "epoch": 3, "iter": 16850, "lr": 3e-05, "memory": 9476, "data_time": 0.01266, "decode.loss_seg": 0.2593, "decode.acc_seg": 86.01809, "src.loss_imnet_feat_dist": NaN, "time": 0.71772} +{"mode": "train", "epoch": 3, "iter": 16900, "lr": 3e-05, "memory": 9476, "data_time": 0.01602, "decode.loss_seg": 0.26141, "decode.acc_seg": 85.45991, "src.loss_imnet_feat_dist": NaN, "time": 0.7211} +{"mode": "train", "epoch": 3, "iter": 16950, "lr": 3e-05, "memory": 9476, "data_time": 0.0144, "decode.loss_seg": 0.25599, "decode.acc_seg": 87.58421, "src.loss_imnet_feat_dist": NaN, "time": 0.71832} +{"mode": "train", "epoch": 3, "iter": 17000, "lr": 3e-05, "memory": 9476, "data_time": 0.01284, "decode.loss_seg": 0.25409, "decode.acc_seg": 86.97393, "src.loss_imnet_feat_dist": 0.10946, "time": 0.71513} +{"mode": "train", "epoch": 3, "iter": 17050, "lr": 3e-05, "memory": 9476, "data_time": 0.01653, "decode.loss_seg": 0.32389, "decode.acc_seg": 85.76086, "src.loss_imnet_feat_dist": NaN, "time": 0.72059} +{"mode": "train", "epoch": 3, "iter": 17100, "lr": 3e-05, "memory": 9476, "data_time": 0.01283, "decode.loss_seg": 0.32385, "decode.acc_seg": 86.33722, "src.loss_imnet_feat_dist": NaN, "time": 0.71492} +{"mode": "train", "epoch": 3, "iter": 17150, "lr": 3e-05, "memory": 9476, "data_time": 0.01279, "decode.loss_seg": 0.2286, "decode.acc_seg": 88.05181, "src.loss_imnet_feat_dist": NaN, "time": 0.71515} +{"mode": "train", "epoch": 3, "iter": 17200, "lr": 3e-05, "memory": 9476, "data_time": 0.01302, "decode.loss_seg": 0.32348, "decode.acc_seg": 83.73681, "src.loss_imnet_feat_dist": NaN, "time": 0.7162} +{"mode": "train", "epoch": 3, "iter": 17250, "lr": 3e-05, "memory": 9476, "data_time": 0.01832, "decode.loss_seg": 0.38575, "decode.acc_seg": 83.58696, "src.loss_imnet_feat_dist": NaN, "time": 0.7228} +{"mode": "train", "epoch": 3, "iter": 17300, "lr": 3e-05, "memory": 9476, "data_time": 0.02408, "decode.loss_seg": 0.28084, "decode.acc_seg": 87.10015, "src.loss_imnet_feat_dist": NaN, "time": 0.72855} +{"mode": "train", "epoch": 3, "iter": 17350, "lr": 3e-05, "memory": 9476, "data_time": 0.01253, "decode.loss_seg": 0.26453, "decode.acc_seg": 87.18955, "src.loss_imnet_feat_dist": NaN, "time": 0.71642} +{"mode": "train", "epoch": 3, "iter": 17400, "lr": 3e-05, "memory": 9476, "data_time": 0.01626, "decode.loss_seg": 0.22523, "decode.acc_seg": 87.11473, "src.loss_imnet_feat_dist": NaN, "time": 0.71952} +{"mode": "train", "epoch": 3, "iter": 17450, "lr": 3e-05, "memory": 9476, "data_time": 0.01678, "decode.loss_seg": 0.26969, "decode.acc_seg": 85.78597, "src.loss_imnet_feat_dist": 0.10561, "time": 0.71896} +{"mode": "train", "epoch": 3, "iter": 17500, "lr": 3e-05, "memory": 9476, "data_time": 0.01252, "decode.loss_seg": 0.29566, "decode.acc_seg": 84.32913, "src.loss_imnet_feat_dist": NaN, "time": 0.71444} +{"mode": "train", "epoch": 3, "iter": 17550, "lr": 3e-05, "memory": 9476, "data_time": 0.0126, "decode.loss_seg": 0.2629, "decode.acc_seg": 85.79109, "src.loss_imnet_feat_dist": NaN, "time": 0.71476} +{"mode": "train", "epoch": 3, "iter": 17600, "lr": 3e-05, "memory": 9476, "data_time": 0.01352, "decode.loss_seg": 0.34089, "decode.acc_seg": 83.33324, "src.loss_imnet_feat_dist": NaN, "time": 0.71585} +{"mode": "train", "epoch": 3, "iter": 17650, "lr": 3e-05, "memory": 9476, "data_time": 0.01258, "decode.loss_seg": 0.26865, "decode.acc_seg": 86.54652, "src.loss_imnet_feat_dist": NaN, "time": 0.71541} +{"mode": "train", "epoch": 3, "iter": 17700, "lr": 3e-05, "memory": 9476, "data_time": 0.01263, "decode.loss_seg": 0.27884, "decode.acc_seg": 85.72871, "src.loss_imnet_feat_dist": NaN, "time": 0.7157} +{"mode": "train", "epoch": 3, "iter": 17750, "lr": 3e-05, "memory": 9476, "data_time": 0.02002, "decode.loss_seg": 0.24253, "decode.acc_seg": 88.59781, "src.loss_imnet_feat_dist": NaN, "time": 0.72592} +{"mode": "train", "epoch": 3, "iter": 17800, "lr": 3e-05, "memory": 9476, "data_time": 0.01774, "decode.loss_seg": 0.27454, "decode.acc_seg": 85.91511, "src.loss_imnet_feat_dist": NaN, "time": 0.72316} +{"mode": "train", "epoch": 3, "iter": 17850, "lr": 3e-05, "memory": 9476, "data_time": 0.0127, "decode.loss_seg": 0.2953, "decode.acc_seg": 83.86139, "src.loss_imnet_feat_dist": 0.11267, "time": 0.72038} +{"mode": "train", "epoch": 3, "iter": 17900, "lr": 3e-05, "memory": 9476, "data_time": 0.01285, "decode.loss_seg": 0.24824, "decode.acc_seg": 86.61703, "src.loss_imnet_feat_dist": NaN, "time": 0.71775} +{"mode": "train", "epoch": 3, "iter": 17950, "lr": 3e-05, "memory": 9476, "data_time": 0.01331, "decode.loss_seg": 0.28825, "decode.acc_seg": 83.78096, "src.loss_imnet_feat_dist": NaN, "time": 0.71726} +{"mode": "train", "epoch": 3, "iter": 18000, "lr": 3e-05, "memory": 9476, "data_time": 0.27279, "decode.loss_seg": 0.28771, "decode.acc_seg": 85.46093, "src.loss_imnet_feat_dist": NaN, "time": 0.97763} +{"mode": "train", "epoch": 3, "iter": 18050, "lr": 3e-05, "memory": 9476, "data_time": 0.67562, "decode.loss_seg": 0.23822, "decode.acc_seg": 85.27013, "src.loss_imnet_feat_dist": NaN, "time": 1.38187} +{"mode": "train", "epoch": 3, "iter": 18100, "lr": 3e-05, "memory": 9476, "data_time": 0.01419, "decode.loss_seg": 0.25702, "decode.acc_seg": 88.061, "src.loss_imnet_feat_dist": NaN, "time": 0.71341} +{"mode": "train", "epoch": 3, "iter": 18150, "lr": 3e-05, "memory": 9476, "data_time": 0.01246, "decode.loss_seg": 0.21334, "decode.acc_seg": 87.70247, "src.loss_imnet_feat_dist": NaN, "time": 0.71341} +{"mode": "train", "epoch": 3, "iter": 18200, "lr": 3e-05, "memory": 9476, "data_time": 0.01537, "decode.loss_seg": 0.23659, "decode.acc_seg": 86.04534, "src.loss_imnet_feat_dist": NaN, "time": 0.71741} +{"mode": "train", "epoch": 3, "iter": 18250, "lr": 3e-05, "memory": 9476, "data_time": 0.0125, "decode.loss_seg": 0.29507, "decode.acc_seg": 84.81062, "src.loss_imnet_feat_dist": NaN, "time": 0.71489} +{"mode": "train", "epoch": 3, "iter": 18300, "lr": 3e-05, "memory": 9476, "data_time": 0.0124, "decode.loss_seg": 0.24967, "decode.acc_seg": 87.55827, "src.loss_imnet_feat_dist": 0.10358, "time": 0.71526} +{"mode": "train", "epoch": 3, "iter": 18350, "lr": 3e-05, "memory": 9476, "data_time": 0.01586, "decode.loss_seg": 0.2623, "decode.acc_seg": 86.41875, "src.loss_imnet_feat_dist": NaN, "time": 0.71871} +{"mode": "train", "epoch": 3, "iter": 18400, "lr": 3e-05, "memory": 9476, "data_time": 0.01239, "decode.loss_seg": 0.27196, "decode.acc_seg": 86.23708, "src.loss_imnet_feat_dist": NaN, "time": 0.71493} +{"mode": "train", "epoch": 3, "iter": 18450, "lr": 3e-05, "memory": 9476, "data_time": 0.01242, "decode.loss_seg": 0.24087, "decode.acc_seg": 87.25018, "src.loss_imnet_feat_dist": NaN, "time": 0.71498} +{"mode": "train", "epoch": 3, "iter": 18500, "lr": 3e-05, "memory": 9476, "data_time": 0.0126, "decode.loss_seg": 0.28288, "decode.acc_seg": 84.41309, "src.loss_imnet_feat_dist": NaN, "time": 0.71602} +{"mode": "train", "epoch": 3, "iter": 18550, "lr": 3e-05, "memory": 9476, "data_time": 0.0125, "decode.loss_seg": 0.27138, "decode.acc_seg": 85.90507, "src.loss_imnet_feat_dist": NaN, "time": 0.715} +{"mode": "train", "epoch": 3, "iter": 18600, "lr": 3e-05, "memory": 9476, "data_time": 0.01273, "decode.loss_seg": 0.38602, "decode.acc_seg": 83.72152, "src.loss_imnet_feat_dist": NaN, "time": 0.71524} +{"mode": "train", "epoch": 3, "iter": 18650, "lr": 3e-05, "memory": 9476, "data_time": 0.01282, "decode.loss_seg": 0.32363, "decode.acc_seg": 83.63309, "src.loss_imnet_feat_dist": NaN, "time": 0.71618} +{"mode": "train", "epoch": 3, "iter": 18700, "lr": 3e-05, "memory": 9476, "data_time": 0.01257, "decode.loss_seg": 0.26818, "decode.acc_seg": 86.48852, "src.loss_imnet_feat_dist": 0.10907, "time": 0.71537} +{"mode": "train", "epoch": 3, "iter": 18750, "lr": 3e-05, "memory": 9476, "data_time": 0.01265, "decode.loss_seg": 0.29071, "decode.acc_seg": 85.57565, "src.loss_imnet_feat_dist": NaN, "time": 0.71564} +{"mode": "train", "epoch": 3, "iter": 18800, "lr": 3e-05, "memory": 9476, "data_time": 0.01266, "decode.loss_seg": 0.30126, "decode.acc_seg": 85.03589, "src.loss_imnet_feat_dist": NaN, "time": 0.71564} +{"mode": "train", "epoch": 3, "iter": 18850, "lr": 3e-05, "memory": 9476, "data_time": 0.01281, "decode.loss_seg": 0.26698, "decode.acc_seg": 85.01498, "src.loss_imnet_feat_dist": NaN, "time": 0.71641} +{"mode": "train", "epoch": 3, "iter": 18900, "lr": 3e-05, "memory": 9476, "data_time": 0.02225, "decode.loss_seg": 0.265, "decode.acc_seg": 87.24441, "src.loss_imnet_feat_dist": NaN, "time": 0.72534} +{"mode": "train", "epoch": 3, "iter": 18950, "lr": 3e-05, "memory": 9476, "data_time": 0.01261, "decode.loss_seg": 0.27314, "decode.acc_seg": 85.20838, "src.loss_imnet_feat_dist": NaN, "time": 0.71557} +{"mode": "train", "epoch": 3, "iter": 19000, "lr": 3e-05, "memory": 9476, "data_time": 0.01902, "decode.loss_seg": 0.24618, "decode.acc_seg": 87.86984, "src.loss_imnet_feat_dist": NaN, "time": 0.72338} +{"mode": "train", "epoch": 3, "iter": 19050, "lr": 3e-05, "memory": 9476, "data_time": 0.01243, "decode.loss_seg": 0.25804, "decode.acc_seg": 86.4222, "src.loss_imnet_feat_dist": 0.10761, "time": 0.71538} +{"mode": "train", "epoch": 3, "iter": 19100, "lr": 3e-05, "memory": 9476, "data_time": 0.01285, "decode.loss_seg": 0.21842, "decode.acc_seg": 88.56756, "src.loss_imnet_feat_dist": NaN, "time": 0.71573} +{"mode": "train", "epoch": 3, "iter": 19150, "lr": 3e-05, "memory": 9476, "data_time": 0.0236, "decode.loss_seg": 0.28888, "decode.acc_seg": 86.37039, "src.loss_imnet_feat_dist": 0.10685, "time": 0.7269} +{"mode": "train", "epoch": 3, "iter": 19200, "lr": 3e-05, "memory": 9476, "data_time": 0.0125, "decode.loss_seg": 0.23302, "decode.acc_seg": 87.98427, "src.loss_imnet_feat_dist": NaN, "time": 0.71532} +{"mode": "train", "epoch": 3, "iter": 19250, "lr": 3e-05, "memory": 9476, "data_time": 0.01249, "decode.loss_seg": 0.24858, "decode.acc_seg": 86.76658, "src.loss_imnet_feat_dist": NaN, "time": 0.71444} +{"mode": "train", "epoch": 3, "iter": 19300, "lr": 3e-05, "memory": 9476, "data_time": 0.01267, "decode.loss_seg": 0.2945, "decode.acc_seg": 85.70528, "src.loss_imnet_feat_dist": NaN, "time": 0.71504} +{"mode": "train", "epoch": 3, "iter": 19350, "lr": 3e-05, "memory": 9476, "data_time": 0.01267, "decode.loss_seg": 0.23719, "decode.acc_seg": 87.42494, "src.loss_imnet_feat_dist": NaN, "time": 0.71572} +{"mode": "train", "epoch": 3, "iter": 19400, "lr": 3e-05, "memory": 9476, "data_time": 0.01256, "decode.loss_seg": 0.30849, "decode.acc_seg": 86.13221, "src.loss_imnet_feat_dist": 0.09544, "time": 0.71481} +{"mode": "train", "epoch": 3, "iter": 19450, "lr": 3e-05, "memory": 9476, "data_time": 0.01285, "decode.loss_seg": 0.29703, "decode.acc_seg": 85.86079, "src.loss_imnet_feat_dist": NaN, "time": 0.71591} +{"mode": "train", "epoch": 3, "iter": 19500, "lr": 3e-05, "memory": 9476, "data_time": 0.01248, "decode.loss_seg": 0.28008, "decode.acc_seg": 85.17735, "src.loss_imnet_feat_dist": NaN, "time": 0.71408} +{"mode": "train", "epoch": 4, "iter": 19550, "lr": 3e-05, "memory": 9476, "data_time": 0.03265, "decode.loss_seg": 0.23838, "decode.acc_seg": 87.62552, "src.loss_imnet_feat_dist": NaN, "time": 0.73496} +{"mode": "train", "epoch": 4, "iter": 19600, "lr": 3e-05, "memory": 9476, "data_time": 0.01257, "decode.loss_seg": 0.25416, "decode.acc_seg": 85.87048, "src.loss_imnet_feat_dist": 0.10586, "time": 0.71485} +{"mode": "train", "epoch": 4, "iter": 19650, "lr": 3e-05, "memory": 9476, "data_time": 0.01376, "decode.loss_seg": 0.22533, "decode.acc_seg": 87.76184, "src.loss_imnet_feat_dist": NaN, "time": 0.71851} +{"mode": "train", "epoch": 4, "iter": 19700, "lr": 3e-05, "memory": 9476, "data_time": 0.01274, "decode.loss_seg": 0.25413, "decode.acc_seg": 86.5225, "src.loss_imnet_feat_dist": NaN, "time": 0.71586} +{"mode": "train", "epoch": 4, "iter": 19750, "lr": 3e-05, "memory": 9476, "data_time": 0.01857, "decode.loss_seg": 0.22937, "decode.acc_seg": 86.65216, "src.loss_imnet_feat_dist": 0.10937, "time": 0.72153} +{"mode": "train", "epoch": 4, "iter": 19800, "lr": 3e-05, "memory": 9476, "data_time": 0.01259, "decode.loss_seg": 0.24086, "decode.acc_seg": 86.35898, "src.loss_imnet_feat_dist": 0.1055, "time": 0.71512} +{"mode": "train", "epoch": 4, "iter": 19850, "lr": 3e-05, "memory": 9476, "data_time": 0.01295, "decode.loss_seg": 0.23519, "decode.acc_seg": 87.59482, "src.loss_imnet_feat_dist": NaN, "time": 0.71695} +{"mode": "train", "epoch": 4, "iter": 19900, "lr": 3e-05, "memory": 9476, "data_time": 0.01925, "decode.loss_seg": 0.2719, "decode.acc_seg": 84.35111, "src.loss_imnet_feat_dist": NaN, "time": 0.72475} +{"mode": "train", "epoch": 4, "iter": 19950, "lr": 3e-05, "memory": 9476, "data_time": 0.01842, "decode.loss_seg": 0.23448, "decode.acc_seg": 87.8064, "src.loss_imnet_feat_dist": NaN, "time": 0.72386} +{"mode": "train", "epoch": 4, "iter": 20000, "lr": 3e-05, "memory": 9476, "data_time": 0.01289, "decode.loss_seg": 0.25827, "decode.acc_seg": 85.54899, "src.loss_imnet_feat_dist": NaN, "time": 0.71847} +{"mode": "train", "epoch": 4, "iter": 20050, "lr": 3e-05, "memory": 9476, "data_time": 0.01348, "decode.loss_seg": 0.29637, "decode.acc_seg": 86.49118, "src.loss_imnet_feat_dist": NaN, "time": 0.71841} +{"mode": "train", "epoch": 4, "iter": 20100, "lr": 3e-05, "memory": 9476, "data_time": 0.01271, "decode.loss_seg": 0.29009, "decode.acc_seg": 86.17878, "src.loss_imnet_feat_dist": NaN, "time": 0.7184} +{"mode": "train", "epoch": 4, "iter": 20150, "lr": 3e-05, "memory": 9476, "data_time": 0.01263, "decode.loss_seg": 0.227, "decode.acc_seg": 86.75422, "src.loss_imnet_feat_dist": NaN, "time": 0.71788} +{"mode": "train", "epoch": 4, "iter": 20200, "lr": 3e-05, "memory": 9476, "data_time": 0.0177, "decode.loss_seg": 0.22684, "decode.acc_seg": 86.40421, "src.loss_imnet_feat_dist": NaN, "time": 0.72334} +{"mode": "train", "epoch": 4, "iter": 20250, "lr": 3e-05, "memory": 9476, "data_time": 0.01255, "decode.loss_seg": 0.23181, "decode.acc_seg": 88.16747, "src.loss_imnet_feat_dist": NaN, "time": 0.71688} +{"mode": "train", "epoch": 4, "iter": 20300, "lr": 3e-05, "memory": 9476, "data_time": 0.01265, "decode.loss_seg": 0.25914, "decode.acc_seg": 86.91623, "src.loss_imnet_feat_dist": NaN, "time": 0.71673} +{"mode": "train", "epoch": 4, "iter": 20350, "lr": 3e-05, "memory": 9476, "data_time": 0.0127, "decode.loss_seg": 0.24555, "decode.acc_seg": 85.76069, "src.loss_imnet_feat_dist": NaN, "time": 0.71652} +{"mode": "train", "epoch": 4, "iter": 20400, "lr": 3e-05, "memory": 9476, "data_time": 0.01265, "decode.loss_seg": 0.22757, "decode.acc_seg": 88.48819, "src.loss_imnet_feat_dist": NaN, "time": 0.71647} +{"mode": "train", "epoch": 4, "iter": 20450, "lr": 3e-05, "memory": 9476, "data_time": 0.01278, "decode.loss_seg": 0.25508, "decode.acc_seg": 86.26355, "src.loss_imnet_feat_dist": NaN, "time": 0.71749} +{"mode": "train", "epoch": 4, "iter": 20500, "lr": 3e-05, "memory": 9476, "data_time": 0.01277, "decode.loss_seg": 0.25015, "decode.acc_seg": 86.19542, "src.loss_imnet_feat_dist": NaN, "time": 0.71603} +{"mode": "train", "epoch": 4, "iter": 20550, "lr": 3e-05, "memory": 9476, "data_time": 0.01716, "decode.loss_seg": 0.24516, "decode.acc_seg": 87.06345, "src.loss_imnet_feat_dist": NaN, "time": 0.72162} +{"mode": "train", "epoch": 4, "iter": 20600, "lr": 3e-05, "memory": 9476, "data_time": 0.01295, "decode.loss_seg": 0.23585, "decode.acc_seg": 86.73863, "src.loss_imnet_feat_dist": NaN, "time": 0.71841} +{"mode": "train", "epoch": 4, "iter": 20650, "lr": 3e-05, "memory": 9476, "data_time": 0.01592, "decode.loss_seg": 0.2503, "decode.acc_seg": 86.09754, "src.loss_imnet_feat_dist": 0.10255, "time": 0.72081} +{"mode": "train", "epoch": 4, "iter": 20700, "lr": 3e-05, "memory": 9476, "data_time": 0.0124, "decode.loss_seg": 0.24055, "decode.acc_seg": 87.3404, "src.loss_imnet_feat_dist": NaN, "time": 0.71716} +{"mode": "train", "epoch": 4, "iter": 20750, "lr": 3e-05, "memory": 9476, "data_time": 0.01256, "decode.loss_seg": 0.24271, "decode.acc_seg": 86.92067, "src.loss_imnet_feat_dist": NaN, "time": 0.71722} +{"mode": "train", "epoch": 4, "iter": 20800, "lr": 3e-05, "memory": 9476, "data_time": 0.02223, "decode.loss_seg": 0.21002, "decode.acc_seg": 88.42855, "src.loss_imnet_feat_dist": NaN, "time": 0.72701} +{"mode": "train", "epoch": 4, "iter": 20850, "lr": 3e-05, "memory": 9476, "data_time": 0.01248, "decode.loss_seg": 0.26932, "decode.acc_seg": 85.83259, "src.loss_imnet_feat_dist": NaN, "time": 0.71733} +{"mode": "train", "epoch": 4, "iter": 20900, "lr": 3e-05, "memory": 9476, "data_time": 0.0128, "decode.loss_seg": 0.24604, "decode.acc_seg": 86.86677, "src.loss_imnet_feat_dist": NaN, "time": 0.71608} +{"mode": "train", "epoch": 4, "iter": 20950, "lr": 3e-05, "memory": 9476, "data_time": 0.01446, "decode.loss_seg": 0.25475, "decode.acc_seg": 87.32425, "src.loss_imnet_feat_dist": NaN, "time": 0.71918} +{"mode": "train", "epoch": 4, "iter": 21000, "lr": 3e-05, "memory": 9476, "data_time": 0.02071, "decode.loss_seg": 0.22417, "decode.acc_seg": 87.7534, "src.loss_imnet_feat_dist": NaN, "time": 0.72509} +{"mode": "train", "epoch": 4, "iter": 21050, "lr": 3e-05, "memory": 9476, "data_time": 0.01262, "decode.loss_seg": 0.23835, "decode.acc_seg": 86.74778, "src.loss_imnet_feat_dist": NaN, "time": 0.71724} +{"mode": "train", "epoch": 4, "iter": 21100, "lr": 3e-05, "memory": 9476, "data_time": 0.01567, "decode.loss_seg": 0.23839, "decode.acc_seg": 86.77519, "src.loss_imnet_feat_dist": NaN, "time": 0.7201} +{"mode": "train", "epoch": 4, "iter": 21150, "lr": 3e-05, "memory": 9476, "data_time": 0.01249, "decode.loss_seg": 0.25963, "decode.acc_seg": 86.95789, "src.loss_imnet_feat_dist": NaN, "time": 0.7166} +{"mode": "train", "epoch": 4, "iter": 21200, "lr": 3e-05, "memory": 9476, "data_time": 0.02857, "decode.loss_seg": 0.23728, "decode.acc_seg": 85.93915, "src.loss_imnet_feat_dist": NaN, "time": 0.73323} +{"mode": "train", "epoch": 4, "iter": 21250, "lr": 3e-05, "memory": 9476, "data_time": 0.02127, "decode.loss_seg": 0.25798, "decode.acc_seg": 86.41809, "src.loss_imnet_feat_dist": NaN, "time": 0.72647} +{"mode": "train", "epoch": 4, "iter": 21300, "lr": 3e-05, "memory": 9476, "data_time": 0.01326, "decode.loss_seg": 0.22331, "decode.acc_seg": 86.79044, "src.loss_imnet_feat_dist": 0.10646, "time": 0.71557} +{"mode": "train", "epoch": 4, "iter": 21350, "lr": 3e-05, "memory": 9476, "data_time": 0.01259, "decode.loss_seg": 0.23286, "decode.acc_seg": 87.8061, "src.loss_imnet_feat_dist": NaN, "time": 0.71519} +{"mode": "train", "epoch": 4, "iter": 21400, "lr": 3e-05, "memory": 9476, "data_time": 0.01287, "decode.loss_seg": 0.22974, "decode.acc_seg": 89.16518, "src.loss_imnet_feat_dist": NaN, "time": 0.71628} +{"mode": "train", "epoch": 4, "iter": 21450, "lr": 3e-05, "memory": 9476, "data_time": 0.01269, "decode.loss_seg": 0.23266, "decode.acc_seg": 86.57116, "src.loss_imnet_feat_dist": NaN, "time": 0.71719} +{"mode": "train", "epoch": 4, "iter": 21500, "lr": 3e-05, "memory": 9476, "data_time": 0.01267, "decode.loss_seg": 0.25438, "decode.acc_seg": 86.11344, "src.loss_imnet_feat_dist": 0.10798, "time": 0.71762} +{"mode": "train", "epoch": 4, "iter": 21550, "lr": 3e-05, "memory": 9476, "data_time": 0.01268, "decode.loss_seg": 0.21324, "decode.acc_seg": 88.46223, "src.loss_imnet_feat_dist": NaN, "time": 0.71744} +{"mode": "train", "epoch": 4, "iter": 21600, "lr": 3e-05, "memory": 9476, "data_time": 0.01276, "decode.loss_seg": 0.29691, "decode.acc_seg": 85.81742, "src.loss_imnet_feat_dist": NaN, "time": 0.71653} +{"mode": "train", "epoch": 4, "iter": 21650, "lr": 3e-05, "memory": 9476, "data_time": 0.01264, "decode.loss_seg": 0.24579, "decode.acc_seg": 87.69455, "src.loss_imnet_feat_dist": 0.10446, "time": 0.71596} +{"mode": "train", "epoch": 4, "iter": 21700, "lr": 3e-05, "memory": 9476, "data_time": 0.01268, "decode.loss_seg": 0.23668, "decode.acc_seg": 86.80141, "src.loss_imnet_feat_dist": NaN, "time": 0.71961} +{"mode": "train", "epoch": 4, "iter": 21750, "lr": 3e-05, "memory": 9476, "data_time": 0.01306, "decode.loss_seg": 0.20343, "decode.acc_seg": 87.85753, "src.loss_imnet_feat_dist": NaN, "time": 0.71951} +{"mode": "train", "epoch": 4, "iter": 21800, "lr": 3e-05, "memory": 9476, "data_time": 0.01531, "decode.loss_seg": 0.23646, "decode.acc_seg": 86.54019, "src.loss_imnet_feat_dist": 0.10188, "time": 0.7226} +{"mode": "train", "epoch": 4, "iter": 21850, "lr": 3e-05, "memory": 9476, "data_time": 0.01296, "decode.loss_seg": 0.22402, "decode.acc_seg": 86.05967, "src.loss_imnet_feat_dist": NaN, "time": 0.71888} +{"mode": "train", "epoch": 4, "iter": 21900, "lr": 3e-05, "memory": 9476, "data_time": 0.01289, "decode.loss_seg": 0.18873, "decode.acc_seg": 88.19438, "src.loss_imnet_feat_dist": NaN, "time": 0.71746} +{"mode": "train", "epoch": 4, "iter": 21950, "lr": 3e-05, "memory": 9476, "data_time": 0.01271, "decode.loss_seg": 0.21176, "decode.acc_seg": 86.46277, "src.loss_imnet_feat_dist": NaN, "time": 0.71703} +{"mode": "train", "epoch": 4, "iter": 22000, "lr": 3e-05, "memory": 9476, "data_time": 0.01523, "decode.loss_seg": 0.21937, "decode.acc_seg": 86.42719, "src.loss_imnet_feat_dist": NaN, "time": 0.72282} +{"mode": "train", "epoch": 4, "iter": 22050, "lr": 3e-05, "memory": 9476, "data_time": 0.02079, "decode.loss_seg": 0.2308, "decode.acc_seg": 87.75953, "src.loss_imnet_feat_dist": NaN, "time": 0.72777} +{"mode": "train", "epoch": 4, "iter": 22100, "lr": 3e-05, "memory": 9476, "data_time": 0.01284, "decode.loss_seg": 0.22019, "decode.acc_seg": 87.79938, "src.loss_imnet_feat_dist": NaN, "time": 0.71867} +{"mode": "train", "epoch": 4, "iter": 22150, "lr": 3e-05, "memory": 9476, "data_time": 0.01297, "decode.loss_seg": 0.2344, "decode.acc_seg": 88.18885, "src.loss_imnet_feat_dist": 0.10272, "time": 0.72047} +{"mode": "train", "epoch": 4, "iter": 22200, "lr": 3e-05, "memory": 9476, "data_time": 0.01802, "decode.loss_seg": 0.24708, "decode.acc_seg": 86.20366, "src.loss_imnet_feat_dist": NaN, "time": 0.72286} +{"mode": "train", "epoch": 4, "iter": 22250, "lr": 3e-05, "memory": 9476, "data_time": 0.01275, "decode.loss_seg": 0.21239, "decode.acc_seg": 86.68679, "src.loss_imnet_feat_dist": NaN, "time": 0.71781} +{"mode": "train", "epoch": 4, "iter": 22300, "lr": 3e-05, "memory": 9476, "data_time": 0.01269, "decode.loss_seg": 0.25094, "decode.acc_seg": 86.95146, "src.loss_imnet_feat_dist": NaN, "time": 0.71674} +{"mode": "train", "epoch": 4, "iter": 22350, "lr": 3e-05, "memory": 9476, "data_time": 0.0126, "decode.loss_seg": 0.23027, "decode.acc_seg": 86.9415, "src.loss_imnet_feat_dist": NaN, "time": 0.71827} +{"mode": "train", "epoch": 4, "iter": 22400, "lr": 3e-05, "memory": 9476, "data_time": 0.01257, "decode.loss_seg": 0.2203, "decode.acc_seg": 87.04816, "src.loss_imnet_feat_dist": NaN, "time": 0.71756} +{"mode": "train", "epoch": 4, "iter": 22450, "lr": 3e-05, "memory": 9476, "data_time": 0.01265, "decode.loss_seg": 0.24086, "decode.acc_seg": 87.33636, "src.loss_imnet_feat_dist": NaN, "time": 0.71662} +{"mode": "train", "epoch": 4, "iter": 22500, "lr": 3e-05, "memory": 9476, "data_time": 0.01575, "decode.loss_seg": 0.21706, "decode.acc_seg": 88.61774, "src.loss_imnet_feat_dist": NaN, "time": 0.71958} +{"mode": "train", "epoch": 4, "iter": 22550, "lr": 3e-05, "memory": 9476, "data_time": 0.01309, "decode.loss_seg": 0.21531, "decode.acc_seg": 88.03115, "src.loss_imnet_feat_dist": NaN, "time": 0.71837} +{"mode": "train", "epoch": 4, "iter": 22600, "lr": 3e-05, "memory": 9476, "data_time": 0.01701, "decode.loss_seg": 0.21364, "decode.acc_seg": 86.83313, "src.loss_imnet_feat_dist": NaN, "time": 0.72264} +{"mode": "train", "epoch": 4, "iter": 22650, "lr": 3e-05, "memory": 9476, "data_time": 0.01295, "decode.loss_seg": 0.21085, "decode.acc_seg": 87.079, "src.loss_imnet_feat_dist": NaN, "time": 0.71765} +{"mode": "train", "epoch": 4, "iter": 22700, "lr": 3e-05, "memory": 9476, "data_time": 0.01256, "decode.loss_seg": 0.2186, "decode.acc_seg": 85.48887, "src.loss_imnet_feat_dist": NaN, "time": 0.71738} +{"mode": "train", "epoch": 4, "iter": 22750, "lr": 3e-05, "memory": 9476, "data_time": 0.0128, "decode.loss_seg": 0.2263, "decode.acc_seg": 87.28208, "src.loss_imnet_feat_dist": NaN, "time": 0.71804} +{"mode": "train", "epoch": 4, "iter": 22800, "lr": 3e-05, "memory": 9476, "data_time": 0.0129, "decode.loss_seg": 0.23958, "decode.acc_seg": 87.53031, "src.loss_imnet_feat_dist": NaN, "time": 0.71834} +{"mode": "train", "epoch": 4, "iter": 22850, "lr": 3e-05, "memory": 9476, "data_time": 0.01515, "decode.loss_seg": 0.24225, "decode.acc_seg": 86.34893, "src.loss_imnet_feat_dist": NaN, "time": 0.72123} +{"mode": "train", "epoch": 4, "iter": 22900, "lr": 3e-05, "memory": 9476, "data_time": 0.0169, "decode.loss_seg": 0.25471, "decode.acc_seg": 86.0702, "src.loss_imnet_feat_dist": NaN, "time": 0.72167} +{"mode": "train", "epoch": 4, "iter": 22950, "lr": 3e-05, "memory": 9476, "data_time": 0.01296, "decode.loss_seg": 0.25109, "decode.acc_seg": 87.54139, "src.loss_imnet_feat_dist": 0.10701, "time": 0.71792} +{"mode": "train", "epoch": 4, "iter": 23000, "lr": 3e-05, "memory": 9476, "data_time": 0.01851, "decode.loss_seg": 0.22091, "decode.acc_seg": 86.1721, "src.loss_imnet_feat_dist": NaN, "time": 0.72335} +{"mode": "train", "epoch": 4, "iter": 23050, "lr": 3e-05, "memory": 9476, "data_time": 0.01255, "decode.loss_seg": 0.2635, "decode.acc_seg": 87.73774, "src.loss_imnet_feat_dist": NaN, "time": 0.718} +{"mode": "train", "epoch": 4, "iter": 23100, "lr": 3e-05, "memory": 9476, "data_time": 0.01551, "decode.loss_seg": 0.22626, "decode.acc_seg": 87.6978, "src.loss_imnet_feat_dist": NaN, "time": 0.72035} +{"mode": "train", "epoch": 4, "iter": 23150, "lr": 3e-05, "memory": 9476, "data_time": 0.01276, "decode.loss_seg": 0.21205, "decode.acc_seg": 87.60307, "src.loss_imnet_feat_dist": NaN, "time": 0.71698} +{"mode": "train", "epoch": 4, "iter": 23200, "lr": 3e-05, "memory": 9476, "data_time": 0.01326, "decode.loss_seg": 0.30543, "decode.acc_seg": 84.88868, "src.loss_imnet_feat_dist": NaN, "time": 0.71858} +{"mode": "train", "epoch": 4, "iter": 23250, "lr": 3e-05, "memory": 9476, "data_time": 0.01587, "decode.loss_seg": 0.30111, "decode.acc_seg": 85.66911, "src.loss_imnet_feat_dist": NaN, "time": 0.72007} +{"mode": "train", "epoch": 4, "iter": 23300, "lr": 3e-05, "memory": 9476, "data_time": 0.01267, "decode.loss_seg": 0.21536, "decode.acc_seg": 88.25849, "src.loss_imnet_feat_dist": NaN, "time": 0.71749} +{"mode": "train", "epoch": 4, "iter": 23350, "lr": 2e-05, "memory": 9476, "data_time": 0.01284, "decode.loss_seg": 0.25128, "decode.acc_seg": 86.70044, "src.loss_imnet_feat_dist": NaN, "time": 0.71834} +{"mode": "train", "epoch": 4, "iter": 23400, "lr": 2e-05, "memory": 9476, "data_time": 0.02025, "decode.loss_seg": 0.23104, "decode.acc_seg": 88.06765, "src.loss_imnet_feat_dist": NaN, "time": 0.7259} +{"mode": "train", "epoch": 4, "iter": 23450, "lr": 2e-05, "memory": 9476, "data_time": 0.0126, "decode.loss_seg": 0.23332, "decode.acc_seg": 87.72795, "src.loss_imnet_feat_dist": NaN, "time": 0.71695} +{"mode": "train", "epoch": 4, "iter": 23500, "lr": 2e-05, "memory": 9476, "data_time": 0.01264, "decode.loss_seg": 0.25195, "decode.acc_seg": 86.97691, "src.loss_imnet_feat_dist": NaN, "time": 0.71579} +{"mode": "train", "epoch": 4, "iter": 23550, "lr": 2e-05, "memory": 9476, "data_time": 0.01437, "decode.loss_seg": 0.2387, "decode.acc_seg": 86.38728, "src.loss_imnet_feat_dist": NaN, "time": 0.71811} +{"mode": "train", "epoch": 4, "iter": 23600, "lr": 2e-05, "memory": 9476, "data_time": 0.01277, "decode.loss_seg": 0.27534, "decode.acc_seg": 84.28314, "src.loss_imnet_feat_dist": NaN, "time": 0.71758} +{"mode": "train", "epoch": 4, "iter": 23650, "lr": 2e-05, "memory": 9476, "data_time": 0.01256, "decode.loss_seg": 0.22268, "decode.acc_seg": 87.31637, "src.loss_imnet_feat_dist": NaN, "time": 0.71778} +{"mode": "train", "epoch": 4, "iter": 23700, "lr": 2e-05, "memory": 9476, "data_time": 0.02571, "decode.loss_seg": 0.25125, "decode.acc_seg": 87.71478, "src.loss_imnet_feat_dist": NaN, "time": 0.7309} +{"mode": "train", "epoch": 4, "iter": 23750, "lr": 2e-05, "memory": 9476, "data_time": 0.01299, "decode.loss_seg": 0.26851, "decode.acc_seg": 85.19649, "src.loss_imnet_feat_dist": NaN, "time": 0.71845} +{"mode": "train", "epoch": 4, "iter": 23800, "lr": 2e-05, "memory": 9476, "data_time": 0.01259, "decode.loss_seg": 0.22938, "decode.acc_seg": 87.07907, "src.loss_imnet_feat_dist": NaN, "time": 0.71978} +{"mode": "train", "epoch": 4, "iter": 23850, "lr": 2e-05, "memory": 9476, "data_time": 0.01564, "decode.loss_seg": 0.23352, "decode.acc_seg": 86.86219, "src.loss_imnet_feat_dist": NaN, "time": 0.72347} +{"mode": "train", "epoch": 4, "iter": 23900, "lr": 2e-05, "memory": 9476, "data_time": 0.02252, "decode.loss_seg": 0.27454, "decode.acc_seg": 86.20531, "src.loss_imnet_feat_dist": NaN, "time": 0.72921} +{"mode": "train", "epoch": 4, "iter": 23950, "lr": 2e-05, "memory": 9476, "data_time": 0.01301, "decode.loss_seg": 0.21967, "decode.acc_seg": 88.4818, "src.loss_imnet_feat_dist": NaN, "time": 0.71902} +{"mode": "train", "epoch": 4, "iter": 24000, "lr": 2e-05, "memory": 9476, "data_time": 0.01499, "decode.loss_seg": 0.20264, "decode.acc_seg": 87.1004, "src.loss_imnet_feat_dist": NaN, "time": 0.71976} +{"mode": "train", "epoch": 4, "iter": 24050, "lr": 2e-05, "memory": 9476, "data_time": 0.01273, "decode.loss_seg": 0.21626, "decode.acc_seg": 87.73649, "src.loss_imnet_feat_dist": NaN, "time": 0.71872} +{"mode": "train", "epoch": 4, "iter": 24100, "lr": 2e-05, "memory": 9476, "data_time": 0.01452, "decode.loss_seg": 0.2478, "decode.acc_seg": 87.43767, "src.loss_imnet_feat_dist": NaN, "time": 0.72046} +{"mode": "train", "epoch": 4, "iter": 24150, "lr": 2e-05, "memory": 9476, "data_time": 0.01274, "decode.loss_seg": 0.21603, "decode.acc_seg": 88.02159, "src.loss_imnet_feat_dist": NaN, "time": 0.71836} +{"mode": "train", "epoch": 4, "iter": 24200, "lr": 2e-05, "memory": 9476, "data_time": 0.01267, "decode.loss_seg": 0.23739, "decode.acc_seg": 86.60405, "src.loss_imnet_feat_dist": 0.09975, "time": 0.72029} +{"mode": "train", "epoch": 4, "iter": 24250, "lr": 2e-05, "memory": 9476, "data_time": 0.01283, "decode.loss_seg": 0.2059, "decode.acc_seg": 88.84448, "src.loss_imnet_feat_dist": NaN, "time": 0.72068} +{"mode": "train", "epoch": 4, "iter": 24300, "lr": 2e-05, "memory": 9476, "data_time": 0.01291, "decode.loss_seg": 0.23875, "decode.acc_seg": 88.29295, "src.loss_imnet_feat_dist": NaN, "time": 0.71895} +{"mode": "train", "epoch": 4, "iter": 24350, "lr": 2e-05, "memory": 9476, "data_time": 0.01283, "decode.loss_seg": 0.23424, "decode.acc_seg": 84.83313, "src.loss_imnet_feat_dist": NaN, "time": 0.7179} +{"mode": "train", "epoch": 4, "iter": 24400, "lr": 2e-05, "memory": 9476, "data_time": 0.01288, "decode.loss_seg": 0.2189, "decode.acc_seg": 88.03307, "src.loss_imnet_feat_dist": NaN, "time": 0.7185} +{"mode": "train", "epoch": 4, "iter": 24450, "lr": 2e-05, "memory": 9476, "data_time": 0.01315, "decode.loss_seg": 0.23737, "decode.acc_seg": 85.06704, "src.loss_imnet_feat_dist": NaN, "time": 0.7185} +{"mode": "train", "epoch": 4, "iter": 24500, "lr": 2e-05, "memory": 9476, "data_time": 0.01262, "decode.loss_seg": 0.22972, "decode.acc_seg": 86.55463, "src.loss_imnet_feat_dist": NaN, "time": 0.71692} +{"mode": "train", "epoch": 4, "iter": 24550, "lr": 2e-05, "memory": 9476, "data_time": 0.01278, "decode.loss_seg": 0.25249, "decode.acc_seg": 85.23515, "src.loss_imnet_feat_dist": NaN, "time": 0.71713} +{"mode": "train", "epoch": 4, "iter": 24600, "lr": 2e-05, "memory": 9476, "data_time": 0.01299, "decode.loss_seg": 0.2163, "decode.acc_seg": 87.7558, "src.loss_imnet_feat_dist": NaN, "time": 0.71865} +{"mode": "train", "epoch": 4, "iter": 24650, "lr": 2e-05, "memory": 9476, "data_time": 0.01279, "decode.loss_seg": 0.23004, "decode.acc_seg": 88.19873, "src.loss_imnet_feat_dist": NaN, "time": 0.71777} +{"mode": "train", "epoch": 4, "iter": 24700, "lr": 2e-05, "memory": 9476, "data_time": 0.01278, "decode.loss_seg": 0.22666, "decode.acc_seg": 87.4321, "src.loss_imnet_feat_dist": NaN, "time": 0.7167} +{"mode": "train", "epoch": 4, "iter": 24750, "lr": 2e-05, "memory": 9476, "data_time": 0.01273, "decode.loss_seg": 0.24904, "decode.acc_seg": 85.31073, "src.loss_imnet_feat_dist": 0.10437, "time": 0.71842} +{"mode": "train", "epoch": 4, "iter": 24800, "lr": 2e-05, "memory": 9476, "data_time": 0.01258, "decode.loss_seg": 0.26783, "decode.acc_seg": 86.65897, "src.loss_imnet_feat_dist": NaN, "time": 0.71823} +{"mode": "train", "epoch": 4, "iter": 24850, "lr": 2e-05, "memory": 9476, "data_time": 0.0165, "decode.loss_seg": 0.22008, "decode.acc_seg": 87.54963, "src.loss_imnet_feat_dist": NaN, "time": 0.72241} +{"mode": "train", "epoch": 4, "iter": 24900, "lr": 2e-05, "memory": 9476, "data_time": 0.01277, "decode.loss_seg": 0.24846, "decode.acc_seg": 87.04942, "src.loss_imnet_feat_dist": NaN, "time": 0.71784} +{"mode": "train", "epoch": 4, "iter": 24950, "lr": 2e-05, "memory": 9476, "data_time": 0.02529, "decode.loss_seg": 0.22563, "decode.acc_seg": 87.69524, "src.loss_imnet_feat_dist": NaN, "time": 0.73027} +{"mode": "train", "epoch": 4, "iter": 25000, "lr": 2e-05, "memory": 9476, "data_time": 0.01268, "decode.loss_seg": 0.22767, "decode.acc_seg": 88.00558, "src.loss_imnet_feat_dist": 0.10091, "time": 0.71671} +{"mode": "train", "epoch": 4, "iter": 25050, "lr": 2e-05, "memory": 9476, "data_time": 0.01249, "decode.loss_seg": 0.25277, "decode.acc_seg": 86.15865, "src.loss_imnet_feat_dist": NaN, "time": 0.71788} +{"mode": "train", "epoch": 4, "iter": 25100, "lr": 2e-05, "memory": 9476, "data_time": 0.02149, "decode.loss_seg": 0.19829, "decode.acc_seg": 89.64563, "src.loss_imnet_feat_dist": NaN, "time": 0.72673} +{"mode": "train", "epoch": 4, "iter": 25150, "lr": 2e-05, "memory": 9476, "data_time": 0.01283, "decode.loss_seg": 0.24771, "decode.acc_seg": 85.86364, "src.loss_imnet_feat_dist": NaN, "time": 0.71649} +{"mode": "train", "epoch": 4, "iter": 25200, "lr": 2e-05, "memory": 9476, "data_time": 0.01401, "decode.loss_seg": 0.23069, "decode.acc_seg": 86.53033, "src.loss_imnet_feat_dist": NaN, "time": 0.71891} +{"mode": "train", "epoch": 4, "iter": 25250, "lr": 2e-05, "memory": 9476, "data_time": 0.01552, "decode.loss_seg": 0.24847, "decode.acc_seg": 87.73925, "src.loss_imnet_feat_dist": NaN, "time": 0.71967} +{"mode": "train", "epoch": 4, "iter": 25300, "lr": 2e-05, "memory": 9476, "data_time": 0.01377, "decode.loss_seg": 0.19224, "decode.acc_seg": 87.52787, "src.loss_imnet_feat_dist": NaN, "time": 0.71918} +{"mode": "train", "epoch": 4, "iter": 25350, "lr": 2e-05, "memory": 9476, "data_time": 0.01786, "decode.loss_seg": 0.2285, "decode.acc_seg": 87.65219, "src.loss_imnet_feat_dist": NaN, "time": 0.72383} +{"mode": "train", "epoch": 4, "iter": 25400, "lr": 2e-05, "memory": 9476, "data_time": 0.01277, "decode.loss_seg": 0.21731, "decode.acc_seg": 88.75551, "src.loss_imnet_feat_dist": NaN, "time": 0.71844} +{"mode": "train", "epoch": 4, "iter": 25450, "lr": 2e-05, "memory": 9476, "data_time": 0.01285, "decode.loss_seg": 0.24176, "decode.acc_seg": 86.23585, "src.loss_imnet_feat_dist": NaN, "time": 0.71808} +{"mode": "train", "epoch": 4, "iter": 25500, "lr": 2e-05, "memory": 9476, "data_time": 0.01281, "decode.loss_seg": 0.25401, "decode.acc_seg": 87.10168, "src.loss_imnet_feat_dist": NaN, "time": 0.71778} +{"mode": "train", "epoch": 4, "iter": 25550, "lr": 2e-05, "memory": 9476, "data_time": 0.01264, "decode.loss_seg": 0.20024, "decode.acc_seg": 87.47715, "src.loss_imnet_feat_dist": NaN, "time": 0.71661} +{"mode": "train", "epoch": 4, "iter": 25600, "lr": 2e-05, "memory": 9476, "data_time": 0.02189, "decode.loss_seg": 0.22285, "decode.acc_seg": 87.11953, "src.loss_imnet_feat_dist": NaN, "time": 0.7259} +{"mode": "train", "epoch": 4, "iter": 25650, "lr": 2e-05, "memory": 9476, "data_time": 0.01268, "decode.loss_seg": 0.20796, "decode.acc_seg": 87.83725, "src.loss_imnet_feat_dist": NaN, "time": 0.71735} +{"mode": "train", "epoch": 4, "iter": 25700, "lr": 2e-05, "memory": 9476, "data_time": 0.01258, "decode.loss_seg": 0.25013, "decode.acc_seg": 86.66704, "src.loss_imnet_feat_dist": NaN, "time": 0.71776} +{"mode": "train", "epoch": 4, "iter": 25750, "lr": 2e-05, "memory": 9476, "data_time": 0.01338, "decode.loss_seg": 0.27644, "decode.acc_seg": 85.38926, "src.loss_imnet_feat_dist": NaN, "time": 0.71763} +{"mode": "train", "epoch": 4, "iter": 25800, "lr": 2e-05, "memory": 9476, "data_time": 0.01318, "decode.loss_seg": 0.21462, "decode.acc_seg": 87.69352, "src.loss_imnet_feat_dist": NaN, "time": 0.71802} +{"mode": "train", "epoch": 4, "iter": 25850, "lr": 2e-05, "memory": 9476, "data_time": 0.01266, "decode.loss_seg": 0.24686, "decode.acc_seg": 87.09338, "src.loss_imnet_feat_dist": NaN, "time": 0.71628} +{"mode": "train", "epoch": 4, "iter": 25900, "lr": 2e-05, "memory": 9476, "data_time": 0.01265, "decode.loss_seg": 0.22049, "decode.acc_seg": 87.12081, "src.loss_imnet_feat_dist": NaN, "time": 0.71805} +{"mode": "train", "epoch": 4, "iter": 25950, "lr": 2e-05, "memory": 9476, "data_time": 0.0126, "decode.loss_seg": 0.20835, "decode.acc_seg": 87.90989, "src.loss_imnet_feat_dist": NaN, "time": 0.71732} +{"mode": "train", "epoch": 4, "iter": 26000, "lr": 2e-05, "memory": 9476, "data_time": 0.01279, "decode.loss_seg": 0.23635, "decode.acc_seg": 87.46927, "src.loss_imnet_feat_dist": 0.1003, "time": 0.7196} +{"mode": "train", "epoch": 5, "iter": 26050, "lr": 2e-05, "memory": 9476, "data_time": 0.05687, "decode.loss_seg": 0.22857, "decode.acc_seg": 88.46754, "src.loss_imnet_feat_dist": NaN, "time": 0.76328} +{"mode": "train", "epoch": 5, "iter": 26100, "lr": 2e-05, "memory": 9476, "data_time": 0.01264, "decode.loss_seg": 0.21045, "decode.acc_seg": 88.29933, "src.loss_imnet_feat_dist": 0.10309, "time": 0.7188} +{"mode": "train", "epoch": 5, "iter": 26150, "lr": 2e-05, "memory": 9476, "data_time": 0.01604, "decode.loss_seg": 0.20337, "decode.acc_seg": 87.07652, "src.loss_imnet_feat_dist": NaN, "time": 0.72116} +{"mode": "train", "epoch": 5, "iter": 26200, "lr": 2e-05, "memory": 9476, "data_time": 0.01743, "decode.loss_seg": 0.21174, "decode.acc_seg": 87.77223, "src.loss_imnet_feat_dist": NaN, "time": 0.72352} +{"mode": "train", "epoch": 5, "iter": 26250, "lr": 2e-05, "memory": 9476, "data_time": 0.01293, "decode.loss_seg": 0.23866, "decode.acc_seg": 87.45229, "src.loss_imnet_feat_dist": NaN, "time": 0.71885} +{"mode": "train", "epoch": 5, "iter": 26300, "lr": 2e-05, "memory": 9476, "data_time": 0.01341, "decode.loss_seg": 0.19934, "decode.acc_seg": 87.91243, "src.loss_imnet_feat_dist": 0.09749, "time": 0.72012} +{"mode": "train", "epoch": 5, "iter": 26350, "lr": 2e-05, "memory": 9476, "data_time": 0.01298, "decode.loss_seg": 0.22297, "decode.acc_seg": 88.11171, "src.loss_imnet_feat_dist": NaN, "time": 0.72032} +{"mode": "train", "epoch": 5, "iter": 26400, "lr": 2e-05, "memory": 9476, "data_time": 0.01275, "decode.loss_seg": 0.21974, "decode.acc_seg": 85.93275, "src.loss_imnet_feat_dist": NaN, "time": 0.71797} +{"mode": "train", "epoch": 5, "iter": 26450, "lr": 2e-05, "memory": 9476, "data_time": 0.01473, "decode.loss_seg": 0.259, "decode.acc_seg": 86.48382, "src.loss_imnet_feat_dist": NaN, "time": 0.72027} +{"mode": "train", "epoch": 5, "iter": 26500, "lr": 2e-05, "memory": 9476, "data_time": 0.01262, "decode.loss_seg": 0.2083, "decode.acc_seg": 87.18816, "src.loss_imnet_feat_dist": NaN, "time": 0.71703} +{"mode": "train", "epoch": 5, "iter": 26550, "lr": 2e-05, "memory": 9476, "data_time": 0.01263, "decode.loss_seg": 0.24968, "decode.acc_seg": 86.60246, "src.loss_imnet_feat_dist": NaN, "time": 0.71851} +{"mode": "train", "epoch": 5, "iter": 26600, "lr": 2e-05, "memory": 9476, "data_time": 0.01605, "decode.loss_seg": 0.19081, "decode.acc_seg": 87.86012, "src.loss_imnet_feat_dist": NaN, "time": 0.72205} +{"mode": "train", "epoch": 5, "iter": 26650, "lr": 2e-05, "memory": 9476, "data_time": 0.01347, "decode.loss_seg": 0.20364, "decode.acc_seg": 87.95894, "src.loss_imnet_feat_dist": NaN, "time": 0.71868} +{"mode": "train", "epoch": 5, "iter": 26700, "lr": 2e-05, "memory": 9476, "data_time": 0.01314, "decode.loss_seg": 0.21728, "decode.acc_seg": 88.03967, "src.loss_imnet_feat_dist": NaN, "time": 0.71804} +{"mode": "train", "epoch": 5, "iter": 26750, "lr": 2e-05, "memory": 9476, "data_time": 0.01754, "decode.loss_seg": 0.20392, "decode.acc_seg": 88.71358, "src.loss_imnet_feat_dist": NaN, "time": 0.72242} +{"mode": "train", "epoch": 5, "iter": 26800, "lr": 2e-05, "memory": 9476, "data_time": 0.0126, "decode.loss_seg": 0.19211, "decode.acc_seg": 87.92691, "src.loss_imnet_feat_dist": NaN, "time": 0.71761} +{"mode": "train", "epoch": 5, "iter": 26850, "lr": 2e-05, "memory": 9476, "data_time": 0.01467, "decode.loss_seg": 0.22557, "decode.acc_seg": 86.30573, "src.loss_imnet_feat_dist": NaN, "time": 0.72104} +{"mode": "train", "epoch": 5, "iter": 26900, "lr": 2e-05, "memory": 9476, "data_time": 0.01274, "decode.loss_seg": 0.22131, "decode.acc_seg": 87.65494, "src.loss_imnet_feat_dist": NaN, "time": 0.71681} +{"mode": "train", "epoch": 5, "iter": 26950, "lr": 2e-05, "memory": 9476, "data_time": 0.01323, "decode.loss_seg": 0.20392, "decode.acc_seg": 88.32959, "src.loss_imnet_feat_dist": NaN, "time": 0.71795} +{"mode": "train", "epoch": 5, "iter": 27000, "lr": 2e-05, "memory": 9476, "data_time": 0.01471, "decode.loss_seg": 0.20477, "decode.acc_seg": 89.13823, "src.loss_imnet_feat_dist": NaN, "time": 0.71929} +{"mode": "train", "epoch": 5, "iter": 27050, "lr": 2e-05, "memory": 9476, "data_time": 0.01346, "decode.loss_seg": 0.25373, "decode.acc_seg": 87.2055, "src.loss_imnet_feat_dist": NaN, "time": 0.71922} +{"mode": "train", "epoch": 5, "iter": 27100, "lr": 2e-05, "memory": 9476, "data_time": 0.01462, "decode.loss_seg": 0.20468, "decode.acc_seg": 87.78122, "src.loss_imnet_feat_dist": NaN, "time": 0.72078} +{"mode": "train", "epoch": 5, "iter": 27150, "lr": 2e-05, "memory": 9476, "data_time": 0.01409, "decode.loss_seg": 0.22593, "decode.acc_seg": 87.0723, "src.loss_imnet_feat_dist": NaN, "time": 0.71954} +{"mode": "train", "epoch": 5, "iter": 27200, "lr": 2e-05, "memory": 9476, "data_time": 0.01505, "decode.loss_seg": 0.23953, "decode.acc_seg": 87.72643, "src.loss_imnet_feat_dist": NaN, "time": 0.72004} +{"mode": "train", "epoch": 5, "iter": 27250, "lr": 2e-05, "memory": 9476, "data_time": 0.01247, "decode.loss_seg": 0.20727, "decode.acc_seg": 88.45036, "src.loss_imnet_feat_dist": NaN, "time": 0.71686} +{"mode": "train", "epoch": 5, "iter": 27300, "lr": 2e-05, "memory": 9476, "data_time": 0.0127, "decode.loss_seg": 0.17492, "decode.acc_seg": 88.16006, "src.loss_imnet_feat_dist": NaN, "time": 0.7172} +{"mode": "train", "epoch": 5, "iter": 27350, "lr": 2e-05, "memory": 9476, "data_time": 0.01284, "decode.loss_seg": 0.21629, "decode.acc_seg": 87.07525, "src.loss_imnet_feat_dist": NaN, "time": 0.71764} +{"mode": "train", "epoch": 5, "iter": 27400, "lr": 2e-05, "memory": 9476, "data_time": 0.01307, "decode.loss_seg": 0.22147, "decode.acc_seg": 86.24127, "src.loss_imnet_feat_dist": NaN, "time": 0.71836} +{"mode": "train", "epoch": 5, "iter": 27450, "lr": 2e-05, "memory": 9476, "data_time": 0.01282, "decode.loss_seg": 0.2036, "decode.acc_seg": 88.40902, "src.loss_imnet_feat_dist": NaN, "time": 0.71854} +{"mode": "train", "epoch": 5, "iter": 27500, "lr": 2e-05, "memory": 9476, "data_time": 0.01314, "decode.loss_seg": 0.19938, "decode.acc_seg": 88.90259, "src.loss_imnet_feat_dist": NaN, "time": 0.71762} +{"mode": "train", "epoch": 5, "iter": 27550, "lr": 2e-05, "memory": 9476, "data_time": 0.01282, "decode.loss_seg": 0.22899, "decode.acc_seg": 87.91316, "src.loss_imnet_feat_dist": NaN, "time": 0.71739} +{"mode": "train", "epoch": 5, "iter": 27600, "lr": 2e-05, "memory": 9476, "data_time": 0.01291, "decode.loss_seg": 0.19438, "decode.acc_seg": 87.94637, "src.loss_imnet_feat_dist": NaN, "time": 0.71808} +{"mode": "train", "epoch": 5, "iter": 27650, "lr": 2e-05, "memory": 9476, "data_time": 0.01265, "decode.loss_seg": 0.21861, "decode.acc_seg": 88.0555, "src.loss_imnet_feat_dist": NaN, "time": 0.71809} +{"mode": "train", "epoch": 5, "iter": 27700, "lr": 2e-05, "memory": 9476, "data_time": 0.01262, "decode.loss_seg": 0.25908, "decode.acc_seg": 87.36695, "src.loss_imnet_feat_dist": NaN, "time": 0.71721} +{"mode": "train", "epoch": 5, "iter": 27750, "lr": 2e-05, "memory": 9476, "data_time": 0.01255, "decode.loss_seg": 0.21398, "decode.acc_seg": 87.74197, "src.loss_imnet_feat_dist": NaN, "time": 0.71648} +{"mode": "train", "epoch": 5, "iter": 27800, "lr": 2e-05, "memory": 9476, "data_time": 0.01268, "decode.loss_seg": 0.21052, "decode.acc_seg": 87.83242, "src.loss_imnet_feat_dist": NaN, "time": 0.71644} +{"mode": "train", "epoch": 5, "iter": 27850, "lr": 2e-05, "memory": 9476, "data_time": 0.01283, "decode.loss_seg": 0.21686, "decode.acc_seg": 88.26171, "src.loss_imnet_feat_dist": NaN, "time": 0.71718} +{"mode": "train", "epoch": 5, "iter": 27900, "lr": 2e-05, "memory": 9476, "data_time": 0.01331, "decode.loss_seg": 0.21813, "decode.acc_seg": 87.35153, "src.loss_imnet_feat_dist": NaN, "time": 0.71843} +{"mode": "train", "epoch": 5, "iter": 27950, "lr": 2e-05, "memory": 9476, "data_time": 0.01293, "decode.loss_seg": 0.20094, "decode.acc_seg": 87.91234, "src.loss_imnet_feat_dist": NaN, "time": 0.71798} +{"mode": "train", "epoch": 5, "iter": 28000, "lr": 2e-05, "memory": 9476, "data_time": 0.01251, "decode.loss_seg": 0.25187, "decode.acc_seg": 87.50237, "src.loss_imnet_feat_dist": NaN, "time": 0.71628} +{"mode": "train", "epoch": 5, "iter": 28050, "lr": 2e-05, "memory": 9476, "data_time": 0.01764, "decode.loss_seg": 0.21314, "decode.acc_seg": 87.8029, "src.loss_imnet_feat_dist": 0.09453, "time": 0.72308} +{"mode": "train", "epoch": 5, "iter": 28100, "lr": 2e-05, "memory": 9476, "data_time": 0.01287, "decode.loss_seg": 0.19506, "decode.acc_seg": 88.65208, "src.loss_imnet_feat_dist": NaN, "time": 0.71804} +{"mode": "train", "epoch": 5, "iter": 28150, "lr": 2e-05, "memory": 9476, "data_time": 0.01296, "decode.loss_seg": 0.21401, "decode.acc_seg": 87.50062, "src.loss_imnet_feat_dist": NaN, "time": 0.72021} +{"mode": "train", "epoch": 5, "iter": 28200, "lr": 2e-05, "memory": 9476, "data_time": 0.01268, "decode.loss_seg": 0.25718, "decode.acc_seg": 86.51181, "src.loss_imnet_feat_dist": NaN, "time": 0.71869} +{"mode": "train", "epoch": 5, "iter": 28250, "lr": 2e-05, "memory": 9476, "data_time": 0.0178, "decode.loss_seg": 0.22724, "decode.acc_seg": 87.98208, "src.loss_imnet_feat_dist": NaN, "time": 0.72502} +{"mode": "train", "epoch": 5, "iter": 28300, "lr": 2e-05, "memory": 9476, "data_time": 0.0152, "decode.loss_seg": 0.26629, "decode.acc_seg": 86.99929, "src.loss_imnet_feat_dist": NaN, "time": 0.72041} +{"mode": "train", "epoch": 5, "iter": 28350, "lr": 2e-05, "memory": 9476, "data_time": 0.01303, "decode.loss_seg": 0.22319, "decode.acc_seg": 87.78878, "src.loss_imnet_feat_dist": NaN, "time": 0.7176} +{"mode": "train", "epoch": 5, "iter": 28400, "lr": 2e-05, "memory": 9476, "data_time": 0.01346, "decode.loss_seg": 0.20591, "decode.acc_seg": 87.02037, "src.loss_imnet_feat_dist": NaN, "time": 0.71988} +{"mode": "train", "epoch": 5, "iter": 28450, "lr": 2e-05, "memory": 9476, "data_time": 0.01629, "decode.loss_seg": 0.2138, "decode.acc_seg": 85.22639, "src.loss_imnet_feat_dist": NaN, "time": 0.72357} +{"mode": "train", "epoch": 5, "iter": 28500, "lr": 2e-05, "memory": 9476, "data_time": 0.01566, "decode.loss_seg": 0.20284, "decode.acc_seg": 87.78827, "src.loss_imnet_feat_dist": NaN, "time": 0.72288} +{"mode": "train", "epoch": 5, "iter": 28550, "lr": 2e-05, "memory": 9476, "data_time": 0.01271, "decode.loss_seg": 0.21205, "decode.acc_seg": 87.08528, "src.loss_imnet_feat_dist": NaN, "time": 0.71859} +{"mode": "train", "epoch": 5, "iter": 28600, "lr": 2e-05, "memory": 9476, "data_time": 0.01232, "decode.loss_seg": 0.25797, "decode.acc_seg": 85.34687, "src.loss_imnet_feat_dist": NaN, "time": 0.71732} +{"mode": "train", "epoch": 5, "iter": 28650, "lr": 2e-05, "memory": 9476, "data_time": 0.01484, "decode.loss_seg": 0.23987, "decode.acc_seg": 88.03674, "src.loss_imnet_feat_dist": NaN, "time": 0.71975} +{"mode": "train", "epoch": 5, "iter": 28700, "lr": 2e-05, "memory": 9476, "data_time": 0.01359, "decode.loss_seg": 0.20763, "decode.acc_seg": 86.557, "src.loss_imnet_feat_dist": 0.09785, "time": 0.71925} +{"mode": "train", "epoch": 5, "iter": 28750, "lr": 2e-05, "memory": 9476, "data_time": 0.02315, "decode.loss_seg": 0.19986, "decode.acc_seg": 87.90823, "src.loss_imnet_feat_dist": NaN, "time": 0.72885} +{"mode": "train", "epoch": 5, "iter": 28800, "lr": 2e-05, "memory": 9476, "data_time": 0.01294, "decode.loss_seg": 0.24128, "decode.acc_seg": 86.90197, "src.loss_imnet_feat_dist": NaN, "time": 0.7185} +{"mode": "train", "epoch": 5, "iter": 28850, "lr": 2e-05, "memory": 9476, "data_time": 0.01257, "decode.loss_seg": 0.23726, "decode.acc_seg": 87.92062, "src.loss_imnet_feat_dist": NaN, "time": 0.7166} +{"mode": "train", "epoch": 5, "iter": 28900, "lr": 2e-05, "memory": 9476, "data_time": 0.02153, "decode.loss_seg": 0.22454, "decode.acc_seg": 88.63146, "src.loss_imnet_feat_dist": NaN, "time": 0.72711} +{"mode": "train", "epoch": 5, "iter": 28950, "lr": 2e-05, "memory": 9476, "data_time": 0.01729, "decode.loss_seg": 0.20457, "decode.acc_seg": 87.42359, "src.loss_imnet_feat_dist": NaN, "time": 0.72282} +{"mode": "train", "epoch": 5, "iter": 29000, "lr": 2e-05, "memory": 9476, "data_time": 0.01826, "decode.loss_seg": 0.21147, "decode.acc_seg": 88.44556, "src.loss_imnet_feat_dist": NaN, "time": 0.72297} +{"mode": "train", "epoch": 5, "iter": 29050, "lr": 2e-05, "memory": 9476, "data_time": 0.01243, "decode.loss_seg": 0.1995, "decode.acc_seg": 88.41241, "src.loss_imnet_feat_dist": 0.1008, "time": 0.71733} +{"mode": "train", "epoch": 5, "iter": 29100, "lr": 2e-05, "memory": 9476, "data_time": 0.01213, "decode.loss_seg": 0.20388, "decode.acc_seg": 87.22067, "src.loss_imnet_feat_dist": 0.09273, "time": 0.71664} +{"mode": "train", "epoch": 5, "iter": 29150, "lr": 2e-05, "memory": 9476, "data_time": 0.01726, "decode.loss_seg": 0.24296, "decode.acc_seg": 85.52452, "src.loss_imnet_feat_dist": NaN, "time": 0.72271} +{"mode": "train", "epoch": 5, "iter": 29200, "lr": 2e-05, "memory": 9476, "data_time": 0.03287, "decode.loss_seg": 0.23301, "decode.acc_seg": 87.17868, "src.loss_imnet_feat_dist": NaN, "time": 0.73854} +{"mode": "train", "epoch": 5, "iter": 29250, "lr": 2e-05, "memory": 9476, "data_time": 0.01237, "decode.loss_seg": 0.22432, "decode.acc_seg": 87.96754, "src.loss_imnet_feat_dist": NaN, "time": 0.71746} +{"mode": "train", "epoch": 5, "iter": 29300, "lr": 2e-05, "memory": 9476, "data_time": 0.01239, "decode.loss_seg": 0.2279, "decode.acc_seg": 87.17891, "src.loss_imnet_feat_dist": NaN, "time": 0.7172} +{"mode": "train", "epoch": 5, "iter": 29350, "lr": 2e-05, "memory": 9476, "data_time": 0.01242, "decode.loss_seg": 0.18471, "decode.acc_seg": 88.43589, "src.loss_imnet_feat_dist": NaN, "time": 0.71669} +{"mode": "train", "epoch": 5, "iter": 29400, "lr": 2e-05, "memory": 9476, "data_time": 0.01248, "decode.loss_seg": 0.2046, "decode.acc_seg": 87.37785, "src.loss_imnet_feat_dist": NaN, "time": 0.71621} +{"mode": "train", "epoch": 5, "iter": 29450, "lr": 2e-05, "memory": 9476, "data_time": 0.01272, "decode.loss_seg": 0.21739, "decode.acc_seg": 87.96604, "src.loss_imnet_feat_dist": NaN, "time": 0.71878} +{"mode": "train", "epoch": 5, "iter": 29500, "lr": 2e-05, "memory": 9476, "data_time": 0.01268, "decode.loss_seg": 0.21232, "decode.acc_seg": 88.12364, "src.loss_imnet_feat_dist": NaN, "time": 0.71664} +{"mode": "train", "epoch": 5, "iter": 29550, "lr": 2e-05, "memory": 9476, "data_time": 0.01257, "decode.loss_seg": 0.20519, "decode.acc_seg": 87.74435, "src.loss_imnet_feat_dist": NaN, "time": 0.71664} +{"mode": "train", "epoch": 5, "iter": 29600, "lr": 2e-05, "memory": 9476, "data_time": 0.01265, "decode.loss_seg": 0.19958, "decode.acc_seg": 87.97744, "src.loss_imnet_feat_dist": NaN, "time": 0.71671} +{"mode": "train", "epoch": 5, "iter": 29650, "lr": 2e-05, "memory": 9476, "data_time": 0.01662, "decode.loss_seg": 0.19926, "decode.acc_seg": 87.42425, "src.loss_imnet_feat_dist": 0.09712, "time": 0.72183} +{"mode": "train", "epoch": 5, "iter": 29700, "lr": 2e-05, "memory": 9476, "data_time": 0.01239, "decode.loss_seg": 0.21509, "decode.acc_seg": 87.47587, "src.loss_imnet_feat_dist": 0.09597, "time": 0.71747} +{"mode": "train", "epoch": 5, "iter": 29750, "lr": 2e-05, "memory": 9476, "data_time": 0.01231, "decode.loss_seg": 0.21762, "decode.acc_seg": 87.40313, "src.loss_imnet_feat_dist": NaN, "time": 0.71757} +{"mode": "train", "epoch": 5, "iter": 29800, "lr": 2e-05, "memory": 9476, "data_time": 0.01214, "decode.loss_seg": 0.21693, "decode.acc_seg": 87.52724, "src.loss_imnet_feat_dist": NaN, "time": 0.71737} +{"mode": "train", "epoch": 5, "iter": 29850, "lr": 2e-05, "memory": 9476, "data_time": 0.01286, "decode.loss_seg": 0.2225, "decode.acc_seg": 88.36953, "src.loss_imnet_feat_dist": NaN, "time": 0.71793} +{"mode": "train", "epoch": 5, "iter": 29900, "lr": 2e-05, "memory": 9476, "data_time": 0.02497, "decode.loss_seg": 0.21281, "decode.acc_seg": 87.51744, "src.loss_imnet_feat_dist": NaN, "time": 0.73034} +{"mode": "train", "epoch": 5, "iter": 29950, "lr": 2e-05, "memory": 9476, "data_time": 0.01229, "decode.loss_seg": 0.20122, "decode.acc_seg": 89.15143, "src.loss_imnet_feat_dist": NaN, "time": 0.71561} +{"mode": "train", "epoch": 5, "iter": 30000, "lr": 2e-05, "memory": 9476, "data_time": 0.01729, "decode.loss_seg": 0.23218, "decode.acc_seg": 88.28052, "src.loss_imnet_feat_dist": NaN, "time": 0.72162} +{"mode": "train", "epoch": 5, "iter": 30050, "lr": 1e-05, "memory": 9476, "data_time": 0.01267, "decode.loss_seg": 0.1935, "decode.acc_seg": 87.94455, "src.loss_imnet_feat_dist": NaN, "time": 0.71704} +{"mode": "train", "epoch": 5, "iter": 30100, "lr": 1e-05, "memory": 9476, "data_time": 0.01514, "decode.loss_seg": 0.23256, "decode.acc_seg": 86.60972, "src.loss_imnet_feat_dist": NaN, "time": 0.72105} +{"mode": "train", "epoch": 5, "iter": 30150, "lr": 1e-05, "memory": 9476, "data_time": 0.01245, "decode.loss_seg": 0.18646, "decode.acc_seg": 88.85375, "src.loss_imnet_feat_dist": NaN, "time": 0.71766} +{"mode": "train", "epoch": 5, "iter": 30200, "lr": 1e-05, "memory": 9476, "data_time": 0.01245, "decode.loss_seg": 0.2358, "decode.acc_seg": 87.03143, "src.loss_imnet_feat_dist": NaN, "time": 0.71788} +{"mode": "train", "epoch": 5, "iter": 30250, "lr": 1e-05, "memory": 9476, "data_time": 0.01602, "decode.loss_seg": 0.16502, "decode.acc_seg": 89.53276, "src.loss_imnet_feat_dist": 0.09305, "time": 0.72143} +{"mode": "train", "epoch": 5, "iter": 30300, "lr": 1e-05, "memory": 9476, "data_time": 0.03671, "decode.loss_seg": 0.21907, "decode.acc_seg": 88.25883, "src.loss_imnet_feat_dist": NaN, "time": 0.7435} +{"mode": "train", "epoch": 5, "iter": 30350, "lr": 1e-05, "memory": 9476, "data_time": 0.01356, "decode.loss_seg": 0.20718, "decode.acc_seg": 88.99923, "src.loss_imnet_feat_dist": NaN, "time": 0.7196} +{"mode": "train", "epoch": 5, "iter": 30400, "lr": 1e-05, "memory": 9476, "data_time": 0.02088, "decode.loss_seg": 0.21231, "decode.acc_seg": 88.8448, "src.loss_imnet_feat_dist": NaN, "time": 0.72685} +{"mode": "train", "epoch": 5, "iter": 30450, "lr": 1e-05, "memory": 9476, "data_time": 0.01883, "decode.loss_seg": 0.22377, "decode.acc_seg": 87.64648, "src.loss_imnet_feat_dist": NaN, "time": 0.72508} +{"mode": "train", "epoch": 5, "iter": 30500, "lr": 1e-05, "memory": 9476, "data_time": 0.01274, "decode.loss_seg": 0.24267, "decode.acc_seg": 87.74318, "src.loss_imnet_feat_dist": 0.10113, "time": 0.71734} +{"mode": "train", "epoch": 5, "iter": 30550, "lr": 1e-05, "memory": 9476, "data_time": 0.01712, "decode.loss_seg": 0.19375, "decode.acc_seg": 87.57854, "src.loss_imnet_feat_dist": NaN, "time": 0.7223} +{"mode": "train", "epoch": 5, "iter": 30600, "lr": 1e-05, "memory": 9476, "data_time": 0.01268, "decode.loss_seg": 0.21184, "decode.acc_seg": 88.13139, "src.loss_imnet_feat_dist": NaN, "time": 0.71863} +{"mode": "train", "epoch": 5, "iter": 30650, "lr": 1e-05, "memory": 9476, "data_time": 0.0126, "decode.loss_seg": 0.2193, "decode.acc_seg": 87.52043, "src.loss_imnet_feat_dist": NaN, "time": 0.71775} +{"mode": "train", "epoch": 5, "iter": 30700, "lr": 1e-05, "memory": 9476, "data_time": 0.01679, "decode.loss_seg": 0.21321, "decode.acc_seg": 88.3368, "src.loss_imnet_feat_dist": NaN, "time": 0.72467} +{"mode": "train", "epoch": 5, "iter": 30750, "lr": 1e-05, "memory": 9476, "data_time": 0.01272, "decode.loss_seg": 0.21633, "decode.acc_seg": 89.49149, "src.loss_imnet_feat_dist": NaN, "time": 0.71643} +{"mode": "train", "epoch": 5, "iter": 30800, "lr": 1e-05, "memory": 9476, "data_time": 0.01264, "decode.loss_seg": 0.19432, "decode.acc_seg": 88.19246, "src.loss_imnet_feat_dist": NaN, "time": 0.71798} +{"mode": "train", "epoch": 5, "iter": 30850, "lr": 1e-05, "memory": 9476, "data_time": 0.01229, "decode.loss_seg": 0.22047, "decode.acc_seg": 86.36846, "src.loss_imnet_feat_dist": NaN, "time": 0.71778} +{"mode": "train", "epoch": 5, "iter": 30900, "lr": 1e-05, "memory": 9476, "data_time": 0.02395, "decode.loss_seg": 0.22573, "decode.acc_seg": 87.17475, "src.loss_imnet_feat_dist": NaN, "time": 0.7291} +{"mode": "train", "epoch": 5, "iter": 30950, "lr": 1e-05, "memory": 9476, "data_time": 0.01736, "decode.loss_seg": 0.221, "decode.acc_seg": 86.66128, "src.loss_imnet_feat_dist": NaN, "time": 0.72231} +{"mode": "train", "epoch": 5, "iter": 31000, "lr": 1e-05, "memory": 9476, "data_time": 0.01601, "decode.loss_seg": 0.28445, "decode.acc_seg": 85.23513, "src.loss_imnet_feat_dist": NaN, "time": 0.7202} +{"mode": "train", "epoch": 5, "iter": 31050, "lr": 1e-05, "memory": 9476, "data_time": 0.01234, "decode.loss_seg": 0.2152, "decode.acc_seg": 89.02111, "src.loss_imnet_feat_dist": NaN, "time": 0.71724} +{"mode": "train", "epoch": 5, "iter": 31100, "lr": 1e-05, "memory": 9476, "data_time": 0.01253, "decode.loss_seg": 0.22447, "decode.acc_seg": 87.40378, "src.loss_imnet_feat_dist": NaN, "time": 0.71688} +{"mode": "train", "epoch": 5, "iter": 31150, "lr": 1e-05, "memory": 9476, "data_time": 0.01289, "decode.loss_seg": 0.22389, "decode.acc_seg": 88.16228, "src.loss_imnet_feat_dist": NaN, "time": 0.71827} +{"mode": "train", "epoch": 5, "iter": 31200, "lr": 1e-05, "memory": 9476, "data_time": 0.01252, "decode.loss_seg": 0.18888, "decode.acc_seg": 89.93385, "src.loss_imnet_feat_dist": NaN, "time": 0.71633} +{"mode": "train", "epoch": 5, "iter": 31250, "lr": 1e-05, "memory": 9476, "data_time": 0.01264, "decode.loss_seg": 0.22621, "decode.acc_seg": 87.94318, "src.loss_imnet_feat_dist": NaN, "time": 0.7177} +{"mode": "train", "epoch": 5, "iter": 31300, "lr": 1e-05, "memory": 9476, "data_time": 0.01289, "decode.loss_seg": 0.19681, "decode.acc_seg": 88.64702, "src.loss_imnet_feat_dist": NaN, "time": 0.71786} +{"mode": "train", "epoch": 5, "iter": 31350, "lr": 1e-05, "memory": 9476, "data_time": 0.01261, "decode.loss_seg": 0.21067, "decode.acc_seg": 86.97128, "src.loss_imnet_feat_dist": NaN, "time": 0.71661} +{"mode": "train", "epoch": 5, "iter": 31400, "lr": 1e-05, "memory": 9476, "data_time": 0.0145, "decode.loss_seg": 0.20242, "decode.acc_seg": 84.60185, "src.loss_imnet_feat_dist": NaN, "time": 0.71949} +{"mode": "train", "epoch": 5, "iter": 31450, "lr": 1e-05, "memory": 9476, "data_time": 0.01327, "decode.loss_seg": 0.23257, "decode.acc_seg": 86.9991, "src.loss_imnet_feat_dist": NaN, "time": 0.71852} +{"mode": "train", "epoch": 5, "iter": 31500, "lr": 1e-05, "memory": 9476, "data_time": 0.01244, "decode.loss_seg": 0.19546, "decode.acc_seg": 89.40435, "src.loss_imnet_feat_dist": 0.10171, "time": 0.71914} +{"mode": "train", "epoch": 5, "iter": 31550, "lr": 1e-05, "memory": 9476, "data_time": 0.0125, "decode.loss_seg": 0.16565, "decode.acc_seg": 88.55521, "src.loss_imnet_feat_dist": NaN, "time": 0.71802} +{"mode": "train", "epoch": 5, "iter": 31600, "lr": 1e-05, "memory": 9476, "data_time": 0.01515, "decode.loss_seg": 0.17921, "decode.acc_seg": 87.72782, "src.loss_imnet_feat_dist": 0.09402, "time": 0.71952} +{"mode": "train", "epoch": 5, "iter": 31650, "lr": 1e-05, "memory": 9476, "data_time": 0.01249, "decode.loss_seg": 0.19279, "decode.acc_seg": 88.33593, "src.loss_imnet_feat_dist": NaN, "time": 0.71689} +{"mode": "train", "epoch": 5, "iter": 31700, "lr": 1e-05, "memory": 9476, "data_time": 0.01968, "decode.loss_seg": 0.23379, "decode.acc_seg": 86.67238, "src.loss_imnet_feat_dist": NaN, "time": 0.7244} +{"mode": "train", "epoch": 5, "iter": 31750, "lr": 1e-05, "memory": 9476, "data_time": 0.01288, "decode.loss_seg": 0.21409, "decode.acc_seg": 87.43327, "src.loss_imnet_feat_dist": NaN, "time": 0.71866} +{"mode": "train", "epoch": 5, "iter": 31800, "lr": 1e-05, "memory": 9476, "data_time": 0.01275, "decode.loss_seg": 0.21629, "decode.acc_seg": 87.25863, "src.loss_imnet_feat_dist": NaN, "time": 0.71661} +{"mode": "train", "epoch": 5, "iter": 31850, "lr": 1e-05, "memory": 9476, "data_time": 0.01293, "decode.loss_seg": 0.20223, "decode.acc_seg": 87.29444, "src.loss_imnet_feat_dist": NaN, "time": 0.71777} +{"mode": "train", "epoch": 5, "iter": 31900, "lr": 1e-05, "memory": 9476, "data_time": 0.01258, "decode.loss_seg": 0.20624, "decode.acc_seg": 88.35253, "src.loss_imnet_feat_dist": 0.09671, "time": 0.71711} +{"mode": "train", "epoch": 5, "iter": 31950, "lr": 1e-05, "memory": 9476, "data_time": 0.01276, "decode.loss_seg": 0.2334, "decode.acc_seg": 87.95599, "src.loss_imnet_feat_dist": NaN, "time": 0.71774} +{"mode": "train", "epoch": 5, "iter": 32000, "lr": 1e-05, "memory": 9476, "data_time": 0.01858, "decode.loss_seg": 0.19905, "decode.acc_seg": 88.83895, "src.loss_imnet_feat_dist": NaN, "time": 0.72388} +{"mode": "train", "epoch": 5, "iter": 32050, "lr": 1e-05, "memory": 9476, "data_time": 0.01287, "decode.loss_seg": 0.20577, "decode.acc_seg": 87.88218, "src.loss_imnet_feat_dist": NaN, "time": 0.71813} +{"mode": "train", "epoch": 5, "iter": 32100, "lr": 1e-05, "memory": 9476, "data_time": 0.01328, "decode.loss_seg": 0.20345, "decode.acc_seg": 87.6833, "src.loss_imnet_feat_dist": NaN, "time": 0.71734} +{"mode": "train", "epoch": 5, "iter": 32150, "lr": 1e-05, "memory": 9476, "data_time": 0.01777, "decode.loss_seg": 0.18735, "decode.acc_seg": 88.99545, "src.loss_imnet_feat_dist": NaN, "time": 0.72205} +{"mode": "train", "epoch": 5, "iter": 32200, "lr": 1e-05, "memory": 9476, "data_time": 0.01292, "decode.loss_seg": 0.20179, "decode.acc_seg": 87.9147, "src.loss_imnet_feat_dist": NaN, "time": 0.7161} +{"mode": "train", "epoch": 5, "iter": 32250, "lr": 1e-05, "memory": 9476, "data_time": 0.01635, "decode.loss_seg": 0.18092, "decode.acc_seg": 88.54195, "src.loss_imnet_feat_dist": NaN, "time": 0.72146} +{"mode": "train", "epoch": 5, "iter": 32300, "lr": 1e-05, "memory": 9476, "data_time": 0.01557, "decode.loss_seg": 0.20128, "decode.acc_seg": 89.1413, "src.loss_imnet_feat_dist": NaN, "time": 0.72018} +{"mode": "train", "epoch": 5, "iter": 32350, "lr": 1e-05, "memory": 9476, "data_time": 0.01527, "decode.loss_seg": 0.25052, "decode.acc_seg": 86.74997, "src.loss_imnet_feat_dist": NaN, "time": 0.71957} +{"mode": "train", "epoch": 5, "iter": 32400, "lr": 1e-05, "memory": 9476, "data_time": 0.01314, "decode.loss_seg": 0.22493, "decode.acc_seg": 89.29835, "src.loss_imnet_feat_dist": NaN, "time": 0.71669} +{"mode": "train", "epoch": 5, "iter": 32450, "lr": 1e-05, "memory": 9476, "data_time": 0.013, "decode.loss_seg": 0.1821, "decode.acc_seg": 87.44281, "src.loss_imnet_feat_dist": NaN, "time": 0.71887} +{"mode": "train", "epoch": 5, "iter": 32500, "lr": 1e-05, "memory": 9476, "data_time": 0.01548, "decode.loss_seg": 0.20342, "decode.acc_seg": 88.10369, "src.loss_imnet_feat_dist": NaN, "time": 0.72172} +{"mode": "train", "epoch": 6, "iter": 32550, "lr": 1e-05, "memory": 9476, "data_time": 0.03218, "decode.loss_seg": 0.1982, "decode.acc_seg": 88.5878, "src.loss_imnet_feat_dist": NaN, "time": 0.73838} +{"mode": "train", "epoch": 6, "iter": 32600, "lr": 1e-05, "memory": 9476, "data_time": 0.01464, "decode.loss_seg": 0.22476, "decode.acc_seg": 86.45364, "src.loss_imnet_feat_dist": NaN, "time": 0.72038} +{"mode": "train", "epoch": 6, "iter": 32650, "lr": 1e-05, "memory": 9476, "data_time": 0.0129, "decode.loss_seg": 0.20375, "decode.acc_seg": 88.48402, "src.loss_imnet_feat_dist": NaN, "time": 0.71769} +{"mode": "train", "epoch": 6, "iter": 32700, "lr": 1e-05, "memory": 9476, "data_time": 0.01276, "decode.loss_seg": 0.18931, "decode.acc_seg": 88.14021, "src.loss_imnet_feat_dist": NaN, "time": 0.71608} +{"mode": "train", "epoch": 6, "iter": 32750, "lr": 1e-05, "memory": 9476, "data_time": 0.01292, "decode.loss_seg": 0.20305, "decode.acc_seg": 90.72746, "src.loss_imnet_feat_dist": NaN, "time": 0.71747} +{"mode": "train", "epoch": 6, "iter": 32800, "lr": 1e-05, "memory": 9476, "data_time": 0.01294, "decode.loss_seg": 0.21913, "decode.acc_seg": 87.37913, "src.loss_imnet_feat_dist": 0.09214, "time": 0.71826} +{"mode": "train", "epoch": 6, "iter": 32850, "lr": 1e-05, "memory": 9476, "data_time": 0.01298, "decode.loss_seg": 0.18309, "decode.acc_seg": 89.71055, "src.loss_imnet_feat_dist": 0.09086, "time": 0.71833} +{"mode": "train", "epoch": 6, "iter": 32900, "lr": 1e-05, "memory": 9476, "data_time": 0.01294, "decode.loss_seg": 0.21532, "decode.acc_seg": 87.56614, "src.loss_imnet_feat_dist": 0.08735, "time": 0.7191} +{"mode": "train", "epoch": 6, "iter": 32950, "lr": 1e-05, "memory": 9476, "data_time": 0.0129, "decode.loss_seg": 0.20464, "decode.acc_seg": 88.12796, "src.loss_imnet_feat_dist": NaN, "time": 0.71815} +{"mode": "train", "epoch": 6, "iter": 33000, "lr": 1e-05, "memory": 9476, "data_time": 0.01319, "decode.loss_seg": 0.1771, "decode.acc_seg": 87.42496, "src.loss_imnet_feat_dist": NaN, "time": 0.71824} +{"mode": "train", "epoch": 6, "iter": 33050, "lr": 1e-05, "memory": 9476, "data_time": 0.01267, "decode.loss_seg": 0.25207, "decode.acc_seg": 85.55291, "src.loss_imnet_feat_dist": NaN, "time": 0.71855} +{"mode": "train", "epoch": 6, "iter": 33100, "lr": 1e-05, "memory": 9476, "data_time": 0.01551, "decode.loss_seg": 0.19659, "decode.acc_seg": 87.56742, "src.loss_imnet_feat_dist": NaN, "time": 0.72104} +{"mode": "train", "epoch": 6, "iter": 33150, "lr": 1e-05, "memory": 9476, "data_time": 0.01291, "decode.loss_seg": 0.19616, "decode.acc_seg": 88.78751, "src.loss_imnet_feat_dist": NaN, "time": 0.72023} +{"mode": "train", "epoch": 6, "iter": 33200, "lr": 1e-05, "memory": 9476, "data_time": 0.01276, "decode.loss_seg": 0.18725, "decode.acc_seg": 88.16465, "src.loss_imnet_feat_dist": NaN, "time": 0.71744} +{"mode": "train", "epoch": 6, "iter": 33250, "lr": 1e-05, "memory": 9476, "data_time": 0.01476, "decode.loss_seg": 0.22278, "decode.acc_seg": 87.50528, "src.loss_imnet_feat_dist": NaN, "time": 0.71918} +{"mode": "train", "epoch": 6, "iter": 33300, "lr": 1e-05, "memory": 9476, "data_time": 0.01299, "decode.loss_seg": 0.20217, "decode.acc_seg": 87.14222, "src.loss_imnet_feat_dist": NaN, "time": 0.71774} +{"mode": "train", "epoch": 6, "iter": 33350, "lr": 1e-05, "memory": 9476, "data_time": 0.02353, "decode.loss_seg": 0.18412, "decode.acc_seg": 90.54654, "src.loss_imnet_feat_dist": NaN, "time": 0.72855} +{"mode": "train", "epoch": 6, "iter": 33400, "lr": 1e-05, "memory": 9476, "data_time": 0.01299, "decode.loss_seg": 0.19346, "decode.acc_seg": 88.70845, "src.loss_imnet_feat_dist": NaN, "time": 0.71704} +{"mode": "train", "epoch": 6, "iter": 33450, "lr": 1e-05, "memory": 9476, "data_time": 0.02579, "decode.loss_seg": 0.18937, "decode.acc_seg": 89.15416, "src.loss_imnet_feat_dist": NaN, "time": 0.73196} +{"mode": "train", "epoch": 6, "iter": 33500, "lr": 1e-05, "memory": 9476, "data_time": 0.01289, "decode.loss_seg": 0.19377, "decode.acc_seg": 88.96063, "src.loss_imnet_feat_dist": NaN, "time": 0.7175} +{"mode": "train", "epoch": 6, "iter": 33550, "lr": 1e-05, "memory": 9476, "data_time": 0.0129, "decode.loss_seg": 0.20522, "decode.acc_seg": 86.84186, "src.loss_imnet_feat_dist": NaN, "time": 0.71794} +{"mode": "train", "epoch": 6, "iter": 33600, "lr": 1e-05, "memory": 9476, "data_time": 0.01299, "decode.loss_seg": 0.2322, "decode.acc_seg": 88.48856, "src.loss_imnet_feat_dist": NaN, "time": 0.71798} +{"mode": "train", "epoch": 6, "iter": 33650, "lr": 1e-05, "memory": 9476, "data_time": 0.01517, "decode.loss_seg": 0.21347, "decode.acc_seg": 87.84339, "src.loss_imnet_feat_dist": NaN, "time": 0.7211} +{"mode": "train", "epoch": 6, "iter": 33700, "lr": 1e-05, "memory": 9476, "data_time": 0.01299, "decode.loss_seg": 0.19972, "decode.acc_seg": 88.75023, "src.loss_imnet_feat_dist": NaN, "time": 0.71798} +{"mode": "train", "epoch": 6, "iter": 33750, "lr": 1e-05, "memory": 9476, "data_time": 0.0233, "decode.loss_seg": 0.23358, "decode.acc_seg": 88.12616, "src.loss_imnet_feat_dist": NaN, "time": 0.72896} +{"mode": "train", "epoch": 6, "iter": 33800, "lr": 1e-05, "memory": 9476, "data_time": 0.01394, "decode.loss_seg": 0.22461, "decode.acc_seg": 86.02606, "src.loss_imnet_feat_dist": NaN, "time": 0.71983} +{"mode": "train", "epoch": 6, "iter": 33850, "lr": 1e-05, "memory": 9476, "data_time": 0.01322, "decode.loss_seg": 0.20179, "decode.acc_seg": 87.13873, "src.loss_imnet_feat_dist": NaN, "time": 0.71866} +{"mode": "train", "epoch": 6, "iter": 33900, "lr": 1e-05, "memory": 9476, "data_time": 0.01288, "decode.loss_seg": 0.19208, "decode.acc_seg": 87.22933, "src.loss_imnet_feat_dist": NaN, "time": 0.71759} +{"mode": "train", "epoch": 6, "iter": 33950, "lr": 1e-05, "memory": 9476, "data_time": 0.01319, "decode.loss_seg": 0.19071, "decode.acc_seg": 87.26104, "src.loss_imnet_feat_dist": NaN, "time": 0.71842} +{"mode": "train", "epoch": 6, "iter": 34000, "lr": 1e-05, "memory": 9476, "data_time": 0.01291, "decode.loss_seg": 0.18282, "decode.acc_seg": 89.08738, "src.loss_imnet_feat_dist": NaN, "time": 0.71821} +{"mode": "train", "epoch": 6, "iter": 34050, "lr": 1e-05, "memory": 9476, "data_time": 0.01489, "decode.loss_seg": 0.19551, "decode.acc_seg": 87.29603, "src.loss_imnet_feat_dist": NaN, "time": 0.72052} +{"mode": "train", "epoch": 6, "iter": 34100, "lr": 1e-05, "memory": 9476, "data_time": 0.01289, "decode.loss_seg": 0.19299, "decode.acc_seg": 87.53376, "src.loss_imnet_feat_dist": NaN, "time": 0.71662} +{"mode": "train", "epoch": 6, "iter": 34150, "lr": 1e-05, "memory": 9476, "data_time": 0.01283, "decode.loss_seg": 0.18758, "decode.acc_seg": 87.93535, "src.loss_imnet_feat_dist": NaN, "time": 0.71745} +{"mode": "train", "epoch": 6, "iter": 34200, "lr": 1e-05, "memory": 9476, "data_time": 0.01285, "decode.loss_seg": 0.22234, "decode.acc_seg": 88.59073, "src.loss_imnet_feat_dist": NaN, "time": 0.71741} +{"mode": "train", "epoch": 6, "iter": 34250, "lr": 1e-05, "memory": 9476, "data_time": 0.01273, "decode.loss_seg": 0.18859, "decode.acc_seg": 88.57517, "src.loss_imnet_feat_dist": NaN, "time": 0.71713} +{"mode": "train", "epoch": 6, "iter": 34300, "lr": 1e-05, "memory": 9476, "data_time": 0.01292, "decode.loss_seg": 0.21529, "decode.acc_seg": 87.35106, "src.loss_imnet_feat_dist": NaN, "time": 0.71687} +{"mode": "train", "epoch": 6, "iter": 34350, "lr": 1e-05, "memory": 9476, "data_time": 0.01297, "decode.loss_seg": 0.2251, "decode.acc_seg": 88.04062, "src.loss_imnet_feat_dist": NaN, "time": 0.71779} +{"mode": "train", "epoch": 6, "iter": 34400, "lr": 1e-05, "memory": 9476, "data_time": 0.01266, "decode.loss_seg": 0.17838, "decode.acc_seg": 88.08099, "src.loss_imnet_feat_dist": NaN, "time": 0.71698} +{"mode": "train", "epoch": 6, "iter": 34450, "lr": 1e-05, "memory": 9476, "data_time": 0.01401, "decode.loss_seg": 0.20782, "decode.acc_seg": 87.94426, "src.loss_imnet_feat_dist": NaN, "time": 0.72021} +{"mode": "train", "epoch": 6, "iter": 34500, "lr": 1e-05, "memory": 9476, "data_time": 0.01512, "decode.loss_seg": 0.19888, "decode.acc_seg": 87.6715, "src.loss_imnet_feat_dist": NaN, "time": 0.71959} +{"mode": "train", "epoch": 6, "iter": 34550, "lr": 1e-05, "memory": 9476, "data_time": 0.01301, "decode.loss_seg": 0.24006, "decode.acc_seg": 87.79032, "src.loss_imnet_feat_dist": NaN, "time": 0.71666} +{"mode": "train", "epoch": 6, "iter": 34600, "lr": 1e-05, "memory": 9476, "data_time": 0.01291, "decode.loss_seg": 0.18716, "decode.acc_seg": 88.90323, "src.loss_imnet_feat_dist": 0.09321, "time": 0.71702} +{"mode": "train", "epoch": 6, "iter": 34650, "lr": 1e-05, "memory": 9476, "data_time": 0.01687, "decode.loss_seg": 0.2322, "decode.acc_seg": 87.44006, "src.loss_imnet_feat_dist": NaN, "time": 0.72219} +{"mode": "train", "epoch": 6, "iter": 34700, "lr": 1e-05, "memory": 9476, "data_time": 0.01768, "decode.loss_seg": 0.21304, "decode.acc_seg": 86.40024, "src.loss_imnet_feat_dist": NaN, "time": 0.72559} +{"mode": "train", "epoch": 6, "iter": 34750, "lr": 1e-05, "memory": 9476, "data_time": 0.01368, "decode.loss_seg": 0.18986, "decode.acc_seg": 88.75953, "src.loss_imnet_feat_dist": NaN, "time": 0.71934} +{"mode": "train", "epoch": 6, "iter": 34800, "lr": 1e-05, "memory": 9476, "data_time": 0.0222, "decode.loss_seg": 0.20983, "decode.acc_seg": 88.49425, "src.loss_imnet_feat_dist": NaN, "time": 0.72832} +{"mode": "train", "epoch": 6, "iter": 34850, "lr": 1e-05, "memory": 9476, "data_time": 0.01268, "decode.loss_seg": 0.19193, "decode.acc_seg": 86.53759, "src.loss_imnet_feat_dist": NaN, "time": 0.71696} +{"mode": "train", "epoch": 6, "iter": 34900, "lr": 1e-05, "memory": 9476, "data_time": 0.01969, "decode.loss_seg": 0.19176, "decode.acc_seg": 87.79728, "src.loss_imnet_feat_dist": NaN, "time": 0.72542} +{"mode": "train", "epoch": 6, "iter": 34950, "lr": 1e-05, "memory": 9476, "data_time": 0.013, "decode.loss_seg": 0.21367, "decode.acc_seg": 86.86596, "src.loss_imnet_feat_dist": NaN, "time": 0.71949} +{"mode": "train", "epoch": 6, "iter": 35000, "lr": 1e-05, "memory": 9476, "data_time": 0.01675, "decode.loss_seg": 0.22351, "decode.acc_seg": 87.09327, "src.loss_imnet_feat_dist": 0.09853, "time": 0.72446} +{"mode": "train", "epoch": 6, "iter": 35050, "lr": 1e-05, "memory": 9476, "data_time": 0.01315, "decode.loss_seg": 0.19345, "decode.acc_seg": 88.16303, "src.loss_imnet_feat_dist": NaN, "time": 0.72013} +{"mode": "train", "epoch": 6, "iter": 35100, "lr": 1e-05, "memory": 9476, "data_time": 0.01314, "decode.loss_seg": 0.19416, "decode.acc_seg": 89.50809, "src.loss_imnet_feat_dist": NaN, "time": 0.71847} +{"mode": "train", "epoch": 6, "iter": 35150, "lr": 1e-05, "memory": 9476, "data_time": 0.01295, "decode.loss_seg": 0.21392, "decode.acc_seg": 86.55732, "src.loss_imnet_feat_dist": NaN, "time": 0.71872} +{"mode": "train", "epoch": 6, "iter": 35200, "lr": 1e-05, "memory": 9476, "data_time": 0.01822, "decode.loss_seg": 0.2122, "decode.acc_seg": 87.82618, "src.loss_imnet_feat_dist": NaN, "time": 0.72404} +{"mode": "train", "epoch": 6, "iter": 35250, "lr": 1e-05, "memory": 9476, "data_time": 0.01299, "decode.loss_seg": 0.19832, "decode.acc_seg": 87.62837, "src.loss_imnet_feat_dist": NaN, "time": 0.71857} +{"mode": "train", "epoch": 6, "iter": 35300, "lr": 1e-05, "memory": 9476, "data_time": 0.02633, "decode.loss_seg": 0.18883, "decode.acc_seg": 88.56025, "src.loss_imnet_feat_dist": NaN, "time": 0.73146} +{"mode": "train", "epoch": 6, "iter": 35350, "lr": 1e-05, "memory": 9476, "data_time": 0.01307, "decode.loss_seg": 0.23054, "decode.acc_seg": 86.54139, "src.loss_imnet_feat_dist": NaN, "time": 0.71801} +{"mode": "train", "epoch": 6, "iter": 35400, "lr": 1e-05, "memory": 9476, "data_time": 0.01294, "decode.loss_seg": 0.19287, "decode.acc_seg": 88.31531, "src.loss_imnet_feat_dist": NaN, "time": 0.71838} +{"mode": "train", "epoch": 6, "iter": 35450, "lr": 1e-05, "memory": 9476, "data_time": 0.01302, "decode.loss_seg": 0.20077, "decode.acc_seg": 88.58293, "src.loss_imnet_feat_dist": NaN, "time": 0.71774} +{"mode": "train", "epoch": 6, "iter": 35500, "lr": 1e-05, "memory": 9476, "data_time": 0.0152, "decode.loss_seg": 0.17731, "decode.acc_seg": 89.02275, "src.loss_imnet_feat_dist": NaN, "time": 0.72222} +{"mode": "train", "epoch": 6, "iter": 35550, "lr": 1e-05, "memory": 9476, "data_time": 0.01295, "decode.loss_seg": 0.1957, "decode.acc_seg": 86.89058, "src.loss_imnet_feat_dist": 0.09921, "time": 0.71889} +{"mode": "train", "epoch": 6, "iter": 35600, "lr": 1e-05, "memory": 9476, "data_time": 0.01595, "decode.loss_seg": 0.20238, "decode.acc_seg": 87.65927, "src.loss_imnet_feat_dist": NaN, "time": 0.72083} +{"mode": "train", "epoch": 6, "iter": 35650, "lr": 1e-05, "memory": 9476, "data_time": 0.01405, "decode.loss_seg": 0.20725, "decode.acc_seg": 88.58397, "src.loss_imnet_feat_dist": 0.09272, "time": 0.71945} +{"mode": "train", "epoch": 6, "iter": 35700, "lr": 1e-05, "memory": 9476, "data_time": 0.01805, "decode.loss_seg": 0.19387, "decode.acc_seg": 88.45987, "src.loss_imnet_feat_dist": NaN, "time": 0.72356} +{"mode": "train", "epoch": 6, "iter": 35750, "lr": 1e-05, "memory": 9476, "data_time": 0.01245, "decode.loss_seg": 0.20654, "decode.acc_seg": 87.65363, "src.loss_imnet_feat_dist": NaN, "time": 0.71776} +{"mode": "train", "epoch": 6, "iter": 35800, "lr": 1e-05, "memory": 9476, "data_time": 0.01529, "decode.loss_seg": 0.24268, "decode.acc_seg": 87.80135, "src.loss_imnet_feat_dist": NaN, "time": 0.72041} +{"mode": "train", "epoch": 6, "iter": 35850, "lr": 1e-05, "memory": 9476, "data_time": 0.01293, "decode.loss_seg": 0.18602, "decode.acc_seg": 86.76837, "src.loss_imnet_feat_dist": NaN, "time": 0.71862} +{"mode": "train", "epoch": 6, "iter": 35900, "lr": 1e-05, "memory": 9476, "data_time": 0.03568, "decode.loss_seg": 0.1783, "decode.acc_seg": 88.73797, "src.loss_imnet_feat_dist": NaN, "time": 0.74076} +{"mode": "train", "epoch": 6, "iter": 35950, "lr": 1e-05, "memory": 9476, "data_time": 0.0186, "decode.loss_seg": 0.16004, "decode.acc_seg": 89.49514, "src.loss_imnet_feat_dist": NaN, "time": 0.72402} +{"mode": "train", "epoch": 6, "iter": 36000, "lr": 1e-05, "memory": 9476, "data_time": 0.01696, "decode.loss_seg": 0.21316, "decode.acc_seg": 87.39378, "src.loss_imnet_feat_dist": 0.09014, "time": 0.72232} +{"mode": "train", "epoch": 6, "iter": 36050, "lr": 1e-05, "memory": 9476, "data_time": 0.01286, "decode.loss_seg": 0.18385, "decode.acc_seg": 89.95674, "src.loss_imnet_feat_dist": NaN, "time": 0.71893} +{"mode": "train", "epoch": 6, "iter": 36100, "lr": 1e-05, "memory": 9476, "data_time": 0.01653, "decode.loss_seg": 0.21334, "decode.acc_seg": 86.98125, "src.loss_imnet_feat_dist": NaN, "time": 0.72183} +{"mode": "train", "epoch": 6, "iter": 36150, "lr": 1e-05, "memory": 9476, "data_time": 0.01308, "decode.loss_seg": 0.18688, "decode.acc_seg": 87.37692, "src.loss_imnet_feat_dist": NaN, "time": 0.71898} +{"mode": "train", "epoch": 6, "iter": 36200, "lr": 1e-05, "memory": 9476, "data_time": 0.01678, "decode.loss_seg": 0.19314, "decode.acc_seg": 87.44331, "src.loss_imnet_feat_dist": 0.09548, "time": 0.7215} +{"mode": "train", "epoch": 6, "iter": 36250, "lr": 1e-05, "memory": 9476, "data_time": 0.01289, "decode.loss_seg": 0.19778, "decode.acc_seg": 88.49055, "src.loss_imnet_feat_dist": NaN, "time": 0.71769} +{"mode": "train", "epoch": 6, "iter": 36300, "lr": 1e-05, "memory": 9476, "data_time": 0.03061, "decode.loss_seg": 0.21307, "decode.acc_seg": 86.21292, "src.loss_imnet_feat_dist": 0.09307, "time": 0.73521} +{"mode": "train", "epoch": 6, "iter": 36350, "lr": 1e-05, "memory": 9476, "data_time": 0.02399, "decode.loss_seg": 0.20579, "decode.acc_seg": 87.96225, "src.loss_imnet_feat_dist": NaN, "time": 0.72938} +{"mode": "train", "epoch": 6, "iter": 36400, "lr": 1e-05, "memory": 9476, "data_time": 0.01465, "decode.loss_seg": 0.19025, "decode.acc_seg": 89.61953, "src.loss_imnet_feat_dist": NaN, "time": 0.71984} +{"mode": "train", "epoch": 6, "iter": 36450, "lr": 1e-05, "memory": 9476, "data_time": 0.01551, "decode.loss_seg": 0.18982, "decode.acc_seg": 88.86726, "src.loss_imnet_feat_dist": NaN, "time": 0.71985} +{"mode": "train", "epoch": 6, "iter": 36500, "lr": 1e-05, "memory": 9476, "data_time": 0.01804, "decode.loss_seg": 0.19096, "decode.acc_seg": 88.36306, "src.loss_imnet_feat_dist": NaN, "time": 0.72347} +{"mode": "train", "epoch": 6, "iter": 36550, "lr": 1e-05, "memory": 9476, "data_time": 0.01264, "decode.loss_seg": 0.19783, "decode.acc_seg": 87.94262, "src.loss_imnet_feat_dist": NaN, "time": 0.71771} +{"mode": "train", "epoch": 6, "iter": 36600, "lr": 1e-05, "memory": 9476, "data_time": 0.01253, "decode.loss_seg": 0.20471, "decode.acc_seg": 88.58443, "src.loss_imnet_feat_dist": 0.08549, "time": 0.71741} +{"mode": "train", "epoch": 6, "iter": 36650, "lr": 1e-05, "memory": 9476, "data_time": 0.01259, "decode.loss_seg": 0.18292, "decode.acc_seg": 89.7511, "src.loss_imnet_feat_dist": 0.09182, "time": 0.71763} +{"mode": "train", "epoch": 6, "iter": 36700, "lr": 0.0, "memory": 9476, "data_time": 0.01258, "decode.loss_seg": 0.19021, "decode.acc_seg": 87.94641, "src.loss_imnet_feat_dist": NaN, "time": 0.71735} +{"mode": "train", "epoch": 6, "iter": 36750, "lr": 0.0, "memory": 9476, "data_time": 0.01945, "decode.loss_seg": 0.21911, "decode.acc_seg": 87.66804, "src.loss_imnet_feat_dist": NaN, "time": 0.72469} +{"mode": "train", "epoch": 6, "iter": 36800, "lr": 0.0, "memory": 9476, "data_time": 0.02162, "decode.loss_seg": 0.22645, "decode.acc_seg": 88.79653, "src.loss_imnet_feat_dist": NaN, "time": 0.72762} +{"mode": "train", "epoch": 6, "iter": 36850, "lr": 0.0, "memory": 9476, "data_time": 0.01285, "decode.loss_seg": 0.21655, "decode.acc_seg": 87.9213, "src.loss_imnet_feat_dist": NaN, "time": 0.71853} +{"mode": "train", "epoch": 6, "iter": 36900, "lr": 0.0, "memory": 9476, "data_time": 0.01597, "decode.loss_seg": 0.1778, "decode.acc_seg": 89.55442, "src.loss_imnet_feat_dist": NaN, "time": 0.72295} +{"mode": "train", "epoch": 6, "iter": 36950, "lr": 0.0, "memory": 9476, "data_time": 0.01289, "decode.loss_seg": 0.16824, "decode.acc_seg": 89.75919, "src.loss_imnet_feat_dist": NaN, "time": 0.71929} +{"mode": "train", "epoch": 6, "iter": 37000, "lr": 0.0, "memory": 9476, "data_time": 0.01258, "decode.loss_seg": 0.1851, "decode.acc_seg": 89.82961, "src.loss_imnet_feat_dist": 0.09057, "time": 0.71631} +{"mode": "train", "epoch": 6, "iter": 37050, "lr": 0.0, "memory": 9476, "data_time": 0.02532, "decode.loss_seg": 0.17697, "decode.acc_seg": 89.38562, "src.loss_imnet_feat_dist": NaN, "time": 0.73187} +{"mode": "train", "epoch": 6, "iter": 37100, "lr": 0.0, "memory": 9476, "data_time": 0.01283, "decode.loss_seg": 0.20106, "decode.acc_seg": 88.45415, "src.loss_imnet_feat_dist": NaN, "time": 0.71889} +{"mode": "train", "epoch": 6, "iter": 37150, "lr": 0.0, "memory": 9476, "data_time": 0.04215, "decode.loss_seg": 0.18218, "decode.acc_seg": 87.19811, "src.loss_imnet_feat_dist": NaN, "time": 0.74977} +{"mode": "train", "epoch": 6, "iter": 37200, "lr": 0.0, "memory": 9476, "data_time": 0.01848, "decode.loss_seg": 0.17673, "decode.acc_seg": 88.13609, "src.loss_imnet_feat_dist": NaN, "time": 0.72501} +{"mode": "train", "epoch": 6, "iter": 37250, "lr": 0.0, "memory": 9476, "data_time": 0.01252, "decode.loss_seg": 0.18938, "decode.acc_seg": 89.58084, "src.loss_imnet_feat_dist": NaN, "time": 0.71816} +{"mode": "train", "epoch": 6, "iter": 37300, "lr": 0.0, "memory": 9476, "data_time": 0.01416, "decode.loss_seg": 0.19733, "decode.acc_seg": 88.9438, "src.loss_imnet_feat_dist": NaN, "time": 0.71921} +{"mode": "train", "epoch": 6, "iter": 37350, "lr": 0.0, "memory": 9476, "data_time": 0.01232, "decode.loss_seg": 0.17752, "decode.acc_seg": 89.41634, "src.loss_imnet_feat_dist": 0.09524, "time": 0.7167} +{"mode": "train", "epoch": 6, "iter": 37400, "lr": 0.0, "memory": 9476, "data_time": 0.01251, "decode.loss_seg": 0.20036, "decode.acc_seg": 87.48885, "src.loss_imnet_feat_dist": NaN, "time": 0.71792} +{"mode": "train", "epoch": 6, "iter": 37450, "lr": 0.0, "memory": 9476, "data_time": 0.01255, "decode.loss_seg": 0.18903, "decode.acc_seg": 90.06479, "src.loss_imnet_feat_dist": NaN, "time": 0.71733} +{"mode": "train", "epoch": 6, "iter": 37500, "lr": 0.0, "memory": 9476, "data_time": 0.01269, "decode.loss_seg": 0.22137, "decode.acc_seg": 86.52251, "src.loss_imnet_feat_dist": 0.09118, "time": 0.71856} +{"mode": "train", "epoch": 6, "iter": 37550, "lr": 0.0, "memory": 9476, "data_time": 0.01553, "decode.loss_seg": 0.17996, "decode.acc_seg": 90.1497, "src.loss_imnet_feat_dist": NaN, "time": 0.72049} +{"mode": "train", "epoch": 6, "iter": 37600, "lr": 0.0, "memory": 9476, "data_time": 0.01277, "decode.loss_seg": 0.18305, "decode.acc_seg": 88.86933, "src.loss_imnet_feat_dist": NaN, "time": 0.71781} +{"mode": "train", "epoch": 6, "iter": 37650, "lr": 0.0, "memory": 9476, "data_time": 0.01843, "decode.loss_seg": 0.20085, "decode.acc_seg": 88.0967, "src.loss_imnet_feat_dist": NaN, "time": 0.72294} +{"mode": "train", "epoch": 6, "iter": 37700, "lr": 0.0, "memory": 9476, "data_time": 0.01261, "decode.loss_seg": 0.1978, "decode.acc_seg": 88.3649, "src.loss_imnet_feat_dist": 0.09625, "time": 0.71805} +{"mode": "train", "epoch": 6, "iter": 37750, "lr": 0.0, "memory": 9476, "data_time": 0.01626, "decode.loss_seg": 0.1638, "decode.acc_seg": 89.81215, "src.loss_imnet_feat_dist": NaN, "time": 0.72139} +{"mode": "train", "epoch": 6, "iter": 37800, "lr": 0.0, "memory": 9476, "data_time": 0.01259, "decode.loss_seg": 0.18675, "decode.acc_seg": 88.28714, "src.loss_imnet_feat_dist": NaN, "time": 0.71671} +{"mode": "train", "epoch": 6, "iter": 37850, "lr": 0.0, "memory": 9476, "data_time": 0.0171, "decode.loss_seg": 0.19092, "decode.acc_seg": 88.57597, "src.loss_imnet_feat_dist": NaN, "time": 0.72327} +{"mode": "train", "epoch": 6, "iter": 37900, "lr": 0.0, "memory": 9476, "data_time": 0.0131, "decode.loss_seg": 0.19905, "decode.acc_seg": 88.25588, "src.loss_imnet_feat_dist": NaN, "time": 0.72762} +{"mode": "train", "epoch": 6, "iter": 37950, "lr": 0.0, "memory": 9476, "data_time": 0.01246, "decode.loss_seg": 0.19856, "decode.acc_seg": 88.66468, "src.loss_imnet_feat_dist": NaN, "time": 0.7172} +{"mode": "train", "epoch": 6, "iter": 38000, "lr": 0.0, "memory": 9476, "data_time": 0.0125, "decode.loss_seg": 0.19473, "decode.acc_seg": 87.93436, "src.loss_imnet_feat_dist": NaN, "time": 0.71764} +{"mode": "train", "epoch": 6, "iter": 38050, "lr": 0.0, "memory": 9476, "data_time": 0.01488, "decode.loss_seg": 0.21464, "decode.acc_seg": 86.04983, "src.loss_imnet_feat_dist": NaN, "time": 0.7206} +{"mode": "train", "epoch": 6, "iter": 38100, "lr": 0.0, "memory": 9476, "data_time": 0.01294, "decode.loss_seg": 0.19309, "decode.acc_seg": 89.93553, "src.loss_imnet_feat_dist": NaN, "time": 0.71731} +{"mode": "train", "epoch": 6, "iter": 38150, "lr": 0.0, "memory": 9476, "data_time": 0.01254, "decode.loss_seg": 0.18095, "decode.acc_seg": 88.54309, "src.loss_imnet_feat_dist": 0.09261, "time": 0.71884} +{"mode": "train", "epoch": 6, "iter": 38200, "lr": 0.0, "memory": 9476, "data_time": 0.01393, "decode.loss_seg": 0.18149, "decode.acc_seg": 88.63232, "src.loss_imnet_feat_dist": NaN, "time": 0.72028} +{"mode": "train", "epoch": 6, "iter": 38250, "lr": 0.0, "memory": 9476, "data_time": 0.01263, "decode.loss_seg": 0.21982, "decode.acc_seg": 87.77141, "src.loss_imnet_feat_dist": NaN, "time": 0.71888} +{"mode": "train", "epoch": 6, "iter": 38300, "lr": 0.0, "memory": 9476, "data_time": 0.01259, "decode.loss_seg": 0.19244, "decode.acc_seg": 87.44167, "src.loss_imnet_feat_dist": 0.1, "time": 0.71749} +{"mode": "train", "epoch": 6, "iter": 38350, "lr": 0.0, "memory": 9476, "data_time": 0.01287, "decode.loss_seg": 0.1702, "decode.acc_seg": 88.21527, "src.loss_imnet_feat_dist": 0.09355, "time": 0.71821} +{"mode": "train", "epoch": 6, "iter": 38400, "lr": 0.0, "memory": 9476, "data_time": 0.01264, "decode.loss_seg": 0.17338, "decode.acc_seg": 88.02229, "src.loss_imnet_feat_dist": NaN, "time": 0.71865} +{"mode": "train", "epoch": 6, "iter": 38450, "lr": 0.0, "memory": 9476, "data_time": 0.01255, "decode.loss_seg": 0.19601, "decode.acc_seg": 87.76149, "src.loss_imnet_feat_dist": NaN, "time": 0.71763} +{"mode": "train", "epoch": 6, "iter": 38500, "lr": 0.0, "memory": 9476, "data_time": 0.01248, "decode.loss_seg": 0.18448, "decode.acc_seg": 87.4536, "src.loss_imnet_feat_dist": NaN, "time": 0.71749} +{"mode": "train", "epoch": 6, "iter": 38550, "lr": 0.0, "memory": 9476, "data_time": 0.01265, "decode.loss_seg": 0.18623, "decode.acc_seg": 88.37755, "src.loss_imnet_feat_dist": NaN, "time": 0.71709} +{"mode": "train", "epoch": 6, "iter": 38600, "lr": 0.0, "memory": 9476, "data_time": 0.01251, "decode.loss_seg": 0.21151, "decode.acc_seg": 87.43337, "src.loss_imnet_feat_dist": NaN, "time": 0.71654} +{"mode": "train", "epoch": 6, "iter": 38650, "lr": 0.0, "memory": 9476, "data_time": 0.01238, "decode.loss_seg": 0.18423, "decode.acc_seg": 89.56461, "src.loss_imnet_feat_dist": NaN, "time": 0.71628} +{"mode": "train", "epoch": 6, "iter": 38700, "lr": 0.0, "memory": 9476, "data_time": 0.0163, "decode.loss_seg": 0.18843, "decode.acc_seg": 88.29881, "src.loss_imnet_feat_dist": NaN, "time": 0.72162} +{"mode": "train", "epoch": 6, "iter": 38750, "lr": 0.0, "memory": 9476, "data_time": 0.01265, "decode.loss_seg": 0.18855, "decode.acc_seg": 90.07443, "src.loss_imnet_feat_dist": NaN, "time": 0.71786} +{"mode": "train", "epoch": 6, "iter": 38800, "lr": 0.0, "memory": 9476, "data_time": 0.01257, "decode.loss_seg": 0.18194, "decode.acc_seg": 88.69426, "src.loss_imnet_feat_dist": NaN, "time": 0.71866} +{"mode": "train", "epoch": 6, "iter": 38850, "lr": 0.0, "memory": 9476, "data_time": 0.01244, "decode.loss_seg": 0.19504, "decode.acc_seg": 88.51665, "src.loss_imnet_feat_dist": NaN, "time": 0.71702} +{"mode": "train", "epoch": 6, "iter": 38900, "lr": 0.0, "memory": 9476, "data_time": 0.01267, "decode.loss_seg": 0.19756, "decode.acc_seg": 86.59832, "src.loss_imnet_feat_dist": NaN, "time": 0.71608} +{"mode": "train", "epoch": 6, "iter": 38950, "lr": 0.0, "memory": 9476, "data_time": 0.01674, "decode.loss_seg": 0.21064, "decode.acc_seg": 86.82969, "src.loss_imnet_feat_dist": NaN, "time": 0.72118} +{"mode": "train", "epoch": 6, "iter": 39000, "lr": 0.0, "memory": 9476, "data_time": 0.01262, "decode.loss_seg": 0.23443, "decode.acc_seg": 86.19763, "src.loss_imnet_feat_dist": NaN, "time": 0.71828} +{"mode": "train", "epoch": 7, "iter": 39050, "lr": 0.0, "memory": 9476, "data_time": 0.03381, "decode.loss_seg": 0.20542, "decode.acc_seg": 87.84324, "src.loss_imnet_feat_dist": NaN, "time": 0.73849} +{"mode": "train", "epoch": 7, "iter": 39100, "lr": 0.0, "memory": 9476, "data_time": 0.01297, "decode.loss_seg": 0.17662, "decode.acc_seg": 88.52264, "src.loss_imnet_feat_dist": NaN, "time": 0.71795} +{"mode": "train", "epoch": 7, "iter": 39150, "lr": 0.0, "memory": 9476, "data_time": 0.01247, "decode.loss_seg": 0.19461, "decode.acc_seg": 89.82767, "src.loss_imnet_feat_dist": NaN, "time": 0.71715} +{"mode": "train", "epoch": 7, "iter": 39200, "lr": 0.0, "memory": 9476, "data_time": 0.01825, "decode.loss_seg": 0.17739, "decode.acc_seg": 88.32268, "src.loss_imnet_feat_dist": NaN, "time": 0.72367} +{"mode": "train", "epoch": 7, "iter": 39250, "lr": 0.0, "memory": 9476, "data_time": 0.0142, "decode.loss_seg": 0.17946, "decode.acc_seg": 89.33823, "src.loss_imnet_feat_dist": NaN, "time": 0.7212} +{"mode": "train", "epoch": 7, "iter": 39300, "lr": 0.0, "memory": 9476, "data_time": 0.01264, "decode.loss_seg": 0.18518, "decode.acc_seg": 89.34179, "src.loss_imnet_feat_dist": 0.09005, "time": 0.71731} +{"mode": "train", "epoch": 7, "iter": 39350, "lr": 0.0, "memory": 9476, "data_time": 0.01269, "decode.loss_seg": 0.19059, "decode.acc_seg": 89.92059, "src.loss_imnet_feat_dist": NaN, "time": 0.71746} +{"mode": "train", "epoch": 7, "iter": 39400, "lr": 0.0, "memory": 9476, "data_time": 0.01281, "decode.loss_seg": 0.18361, "decode.acc_seg": 89.37217, "src.loss_imnet_feat_dist": NaN, "time": 0.71819} +{"mode": "train", "epoch": 7, "iter": 39450, "lr": 0.0, "memory": 9476, "data_time": 0.01251, "decode.loss_seg": 0.18419, "decode.acc_seg": 88.5966, "src.loss_imnet_feat_dist": NaN, "time": 0.71617} +{"mode": "train", "epoch": 7, "iter": 39500, "lr": 0.0, "memory": 9476, "data_time": 0.01471, "decode.loss_seg": 0.23378, "decode.acc_seg": 88.37119, "src.loss_imnet_feat_dist": NaN, "time": 0.71899} +{"mode": "train", "epoch": 7, "iter": 39550, "lr": 0.0, "memory": 9476, "data_time": 0.01252, "decode.loss_seg": 0.17911, "decode.acc_seg": 87.85291, "src.loss_imnet_feat_dist": NaN, "time": 0.71738} +{"mode": "train", "epoch": 7, "iter": 39600, "lr": 0.0, "memory": 9476, "data_time": 0.03828, "decode.loss_seg": 0.17674, "decode.acc_seg": 87.93077, "src.loss_imnet_feat_dist": NaN, "time": 0.74252} +{"mode": "train", "epoch": 7, "iter": 39650, "lr": 0.0, "memory": 9476, "data_time": 0.01267, "decode.loss_seg": 0.22314, "decode.acc_seg": 86.10127, "src.loss_imnet_feat_dist": 0.08971, "time": 0.71686} +{"mode": "train", "epoch": 7, "iter": 39700, "lr": 0.0, "memory": 9476, "data_time": 0.01927, "decode.loss_seg": 0.18339, "decode.acc_seg": 87.36671, "src.loss_imnet_feat_dist": NaN, "time": 0.72327} +{"mode": "train", "epoch": 7, "iter": 39750, "lr": 0.0, "memory": 9476, "data_time": 0.01258, "decode.loss_seg": 0.17189, "decode.acc_seg": 89.13406, "src.loss_imnet_feat_dist": NaN, "time": 0.7165} +{"mode": "train", "epoch": 7, "iter": 39800, "lr": 0.0, "memory": 9476, "data_time": 0.01254, "decode.loss_seg": 0.16838, "decode.acc_seg": 89.9044, "src.loss_imnet_feat_dist": NaN, "time": 0.71663} +{"mode": "train", "epoch": 7, "iter": 39850, "lr": 0.0, "memory": 9476, "data_time": 0.01248, "decode.loss_seg": 0.18165, "decode.acc_seg": 88.46111, "src.loss_imnet_feat_dist": NaN, "time": 0.71729} +{"mode": "train", "epoch": 7, "iter": 39900, "lr": 0.0, "memory": 9476, "data_time": 0.01243, "decode.loss_seg": 0.19068, "decode.acc_seg": 89.29797, "src.loss_imnet_feat_dist": NaN, "time": 0.71557} +{"mode": "train", "epoch": 7, "iter": 39950, "lr": 0.0, "memory": 9476, "data_time": 0.01958, "decode.loss_seg": 0.18808, "decode.acc_seg": 88.81551, "src.loss_imnet_feat_dist": NaN, "time": 0.72359} +{"mode": "train", "epoch": 7, "iter": 500, "lr": 0.0, "memory": 9476, "aAcc": 0.8958, "mIoU": 0.5619, "mAcc": 0.6777, "IoU.road": 0.8933, "IoU.sidewalk": 0.4397, "IoU.building": 0.8656, "IoU.wall": 0.4881, "IoU.fence": 0.3346, "IoU.pole": 0.3894, "IoU.traffic light": 0.4616, "IoU.traffic sign": 0.3572, "IoU.vegetation": 0.8764, "IoU.terrain": 0.3742, "IoU.sky": 0.8891, "IoU.person": 0.6612, "IoU.rider": 0.3759, "IoU.car": 0.8865, "IoU.truck": 0.5115, "IoU.bus": 0.6522, "IoU.train": 0.4731, "IoU.motorcycle": 0.4151, "IoU.bicycle": 0.3317, "Acc.road": 0.9373, "Acc.sidewalk": 0.6344, "Acc.building": 0.9407, "Acc.wall": 0.6487, "Acc.fence": 0.4491, "Acc.pole": 0.4426, "Acc.traffic light": 0.5077, "Acc.traffic sign": 0.367, "Acc.vegetation": 0.9545, "Acc.terrain": 0.7119, "Acc.sky": 0.9698, "Acc.person": 0.7622, "Acc.rider": 0.5773, "Acc.car": 0.9212, "Acc.truck": 0.8818, "Acc.bus": 0.7384, "Acc.train": 0.5131, "Acc.motorcycle": 0.5694, "Acc.bicycle": 0.3484, "data_time": 0.01254, "decode.loss_seg": 0.21853, "decode.acc_seg": 87.57619, "src.loss_imnet_feat_dist": NaN, "time": 0.716}