2024-03-04 09:23:58,477 - mmseg - INFO - Multi-processing start method is `None` 2024-03-04 09:23:58,477 - mmseg - INFO - OpenCV num_threads is ` 2024-03-04 09:23:58,477 - mmseg - INFO - OMP num threads is 1 2024-03-04 09:23:58,674 - mmseg - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.9.18 (main, Sep 11 2023, 13:41:44) [GCC 11.2.0] CUDA available: True GPU 0,1,2,3: Tesla V100-SXM2-32GB CUDA_HOME: /usr/local/cuda NVCC: Build cuda_12.1.r12.1/compiler.32688072_0 GCC: gcc (Ubuntu 11.3.0-1ubuntu1~22.04.1) 11.3.0 PyTorch: 1.11.0 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.3 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 - CuDNN 8.2 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -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-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.12.0 OpenCV: 4.8.1 MMCV: 1.4.8 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.3 MMSegmentation: 0.22.1+ ------------------------------------------------------------ 2024-03-04 09:23:58,675 - mmseg - INFO - Distributed training: True 2024-03-04 09:23:59,113 - mmseg - INFO - Config: norm_cfg = dict(type='SyncBN', requires_grad=True) model = dict( type='EncoderDecoder', pretrained=None, backbone=dict( type='RDNetBackbone', model_name='rdnet_base', features_only=True, pretrained=True, drop_path_rate=0.2), decode_head=dict( type='UPerHead', in_channels=[408, 584, 1000, 1760], in_index=[0, 1, 2, 3], pool_scales=(1, 2, 3, 6), channels=512, dropout_ratio=0.1, num_classes=150, norm_cfg=dict(type='SyncBN', requires_grad=True), align_corners=False, loss_decode=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)), auxiliary_head=dict( type='FCNHead', in_channels=1000, in_index=2, channels=256, num_convs=1, concat_input=False, dropout_ratio=0.1, num_classes=150, norm_cfg=dict(type='SyncBN', requires_grad=True), align_corners=False, loss_decode=dict( type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.4)), train_cfg=dict(), test_cfg=dict(mode='slide', crop_size=(512, 512), stride=(341, 341))) dataset_type = 'ADE20KDataset' data_root = '/mnt/tmp/ADEChallengeData2016/' img_norm_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) crop_size = (512, 512) train_pipeline = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', reduce_zero_label=True), dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), dict(type='RandomFlip', prob=0.5), dict(type='PhotoMetricDistortion'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=255), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_semantic_seg']) ] test_pipeline = [ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2048, 512), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ] data = dict( samples_per_gpu=4, workers_per_gpu=4, train=dict( type='ADE20KDataset', data_root='/mnt/tmp/ADEChallengeData2016/', img_dir='images/training', ann_dir='annotations/training', pipeline=[ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', reduce_zero_label=True), dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), dict(type='RandomFlip', prob=0.5), dict(type='PhotoMetricDistortion'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=255), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_semantic_seg']) ]), val=dict( type='ADE20KDataset', data_root='/mnt/tmp/ADEChallengeData2016/', img_dir='images/validation', ann_dir='annotations/validation', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2048, 512), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ]), test=dict( type='ADE20KDataset', data_root='/mnt/tmp/ADEChallengeData2016/', img_dir='images/validation', ann_dir='annotations/validation', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(2048, 512), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ])) log_config = dict( interval=50, hooks=[ dict(type='TextLoggerHook', by_epoch=False), dict( type='WandbLoggerHook', init_kwargs=dict( project='mmsegmentation', name='dp02_lr8e-5_wd001_noema_nonorm_ld09'), interval=50, log_artifact=False) ]) custom_hooks = [dict(type='UnfreezeDNetIterBasedHook')] dist_params = dict(backend='nccl') log_level = 'INFO' load_from = None resume_from = None workflow = [('train', 1)] cudnn_benchmark = True optimizer = dict( constructor='DNetLearningRateDecayOptimizerConstructor', type='AdamW', lr=8e-05, betas=(0.9, 0.999), weight_decay=0.01, paramwise_cfg=dict( decay_rate=0.9, decay_type='stage_wise', num_layers=7, model_name='dnet_tiny')) optimizer_config = dict(type='Fp16OptimizerHook', loss_scale='dynamic') lr_config = dict( policy='poly', warmup='linear', warmup_iters=1500, warmup_ratio=6e-06, power=1.0, min_lr=0.0, by_epoch=False) runner = dict(type='IterBasedRunner', max_iters=160000) checkpoint_config = dict(by_epoch=False, interval=80000) evaluation = dict(interval=16000, metric='mIoU', pre_eval=True) fp16 = dict() work_dir = '/mnt/cmlssd004/public/donghyun/dnet_exps/mmseg/dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9_390_0' gpu_ids = range(0, 4) auto_resume = False 2024-03-04 09:24:02,751 - mmseg - INFO - Set random seed to 125733464, deterministic: False 2024-03-04 10:01:29,533 - mmseg - INFO - initialize UPerHead with init_cfg {'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} 2024-03-04 10:01:29,770 - mmseg - INFO - initialize FCNHead with init_cfg {'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} Name of parameter - Initialization information backbone.timm_model.stem.stem.0.weight - torch.Size([120, 3, 4, 4]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.stem.stem.0.bias - torch.Size([120]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.stem.stem.1.weight - torch.Size([120]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.stem.stem.1.bias - torch.Size([120]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block0.gamma - torch.Size([96]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.0.weight - torch.Size([120, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.0.bias - torch.Size([120]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.1.weight - torch.Size([120]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.1.bias - torch.Size([120]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.2.weight - torch.Size([480, 120, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.2.bias - torch.Size([480]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.4.weight - torch.Size([96, 480, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.4.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block1.gamma - torch.Size([96]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.0.weight - torch.Size([216, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.0.bias - torch.Size([216]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.1.weight - torch.Size([216]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.1.bias - torch.Size([216]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.2.weight - torch.Size([864, 216, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.2.bias - torch.Size([864]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.4.weight - torch.Size([96, 864, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.4.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block2.gamma - torch.Size([96]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.0.weight - torch.Size([312, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.0.bias - torch.Size([312]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.1.weight - torch.Size([312]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.1.bias - torch.Size([312]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.2.weight - torch.Size([1248, 312, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.2.bias - torch.Size([1248]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.4.weight - torch.Size([96, 1248, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.4.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.0.weight - torch.Size([408]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.0.bias - torch.Size([408]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.1.weight - torch.Size([200, 408, 2, 2]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.1.bias - torch.Size([200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block0.gamma - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.0.weight - torch.Size([200, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.0.bias - torch.Size([200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.1.weight - torch.Size([200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.1.bias - torch.Size([200]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.2.weight - torch.Size([800, 200, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.2.bias - torch.Size([800]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.4.weight - torch.Size([128, 800, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.4.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block1.gamma - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.0.weight - torch.Size([328, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.0.bias - torch.Size([328]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.1.weight - torch.Size([328]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.1.bias - torch.Size([328]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.2.weight - torch.Size([1312, 328, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.2.bias - torch.Size([1312]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.4.weight - torch.Size([128, 1312, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.4.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block2.gamma - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.0.weight - torch.Size([456, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.0.bias - torch.Size([456]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.1.weight - torch.Size([456]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.1.bias - torch.Size([456]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.2.weight - torch.Size([1824, 456, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.2.bias - torch.Size([1824]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.4.weight - torch.Size([128, 1824, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.4.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.0.weight - torch.Size([584]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.0.bias - torch.Size([584]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.1.weight - torch.Size([288, 584, 2, 2]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.1.bias - torch.Size([288]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block0.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.0.weight - torch.Size([288, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.0.bias - torch.Size([288]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.1.weight - torch.Size([288]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.1.bias - torch.Size([288]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.2.weight - torch.Size([1152, 288, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.2.bias - torch.Size([1152]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.4.weight - torch.Size([168, 1152, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block1.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.0.weight - torch.Size([456, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.0.bias - torch.Size([456]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.1.weight - torch.Size([456]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.1.bias - torch.Size([456]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.2.weight - torch.Size([1824, 456, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.2.bias - torch.Size([1824]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.4.weight - torch.Size([168, 1824, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block2.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.0.weight - torch.Size([624, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.0.bias - torch.Size([624]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.1.weight - torch.Size([624]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.1.bias - torch.Size([624]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.2.weight - torch.Size([2496, 624, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.2.bias - torch.Size([2496]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.4.weight - torch.Size([168, 2496, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.0.weight - torch.Size([792]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.0.bias - torch.Size([792]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.1.weight - torch.Size([392, 792, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.1.bias - torch.Size([392]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block0.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.0.weight - torch.Size([392, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.0.bias - torch.Size([392]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.1.weight - torch.Size([392]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.1.bias - torch.Size([392]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.2.weight - torch.Size([1568, 392, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.2.bias - torch.Size([1568]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.4.weight - torch.Size([168, 1568, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block1.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.0.weight - torch.Size([560, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.0.bias - torch.Size([560]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.1.weight - torch.Size([560]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.1.bias - torch.Size([560]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.2.weight - torch.Size([2240, 560, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.2.bias - torch.Size([2240]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.4.weight - torch.Size([168, 2240, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block2.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.0.weight - torch.Size([728, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.0.bias - torch.Size([728]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.1.weight - torch.Size([728]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.1.bias - torch.Size([728]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.2.weight - torch.Size([2912, 728, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.2.bias - torch.Size([2912]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.4.weight - torch.Size([168, 2912, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.0.weight - torch.Size([896]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.0.bias - torch.Size([896]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.1.weight - torch.Size([448, 896, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.1.bias - torch.Size([448]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block0.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.0.weight - torch.Size([448, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.0.bias - torch.Size([448]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.1.weight - torch.Size([448]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.1.bias - torch.Size([448]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.2.weight - torch.Size([1792, 448, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.2.bias - torch.Size([1792]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.4.weight - torch.Size([168, 1792, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block1.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.0.weight - torch.Size([616, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.0.bias - torch.Size([616]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.1.weight - torch.Size([616]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.1.bias - torch.Size([616]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.2.weight - torch.Size([2464, 616, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.2.bias - torch.Size([2464]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.4.weight - torch.Size([168, 2464, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block2.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.0.weight - torch.Size([784, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.0.bias - torch.Size([784]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.1.weight - torch.Size([784]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.1.bias - torch.Size([784]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.2.weight - torch.Size([3136, 784, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.2.bias - torch.Size([3136]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.4.weight - torch.Size([168, 3136, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.0.weight - torch.Size([952]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.0.bias - torch.Size([952]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.1.weight - torch.Size([472, 952, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.1.bias - torch.Size([472]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block0.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.0.weight - torch.Size([472, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.0.bias - torch.Size([472]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.1.weight - torch.Size([472]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.1.bias - torch.Size([472]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.2.weight - torch.Size([1888, 472, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.2.bias - torch.Size([1888]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.4.weight - torch.Size([168, 1888, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block1.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.0.weight - torch.Size([640, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.0.bias - torch.Size([640]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.1.weight - torch.Size([640]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.1.bias - torch.Size([640]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.2.weight - torch.Size([2560, 640, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.2.bias - torch.Size([2560]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.4.weight - torch.Size([168, 2560, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block2.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.0.weight - torch.Size([808, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.0.bias - torch.Size([808]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.1.weight - torch.Size([808]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.1.bias - torch.Size([808]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.2.weight - torch.Size([3232, 808, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.2.bias - torch.Size([3232]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.4.weight - torch.Size([168, 3232, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.0.weight - torch.Size([976]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.0.bias - torch.Size([976]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.1.weight - torch.Size([488, 976, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.1.bias - torch.Size([488]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block0.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.0.weight - torch.Size([488, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.0.bias - torch.Size([488]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.1.weight - torch.Size([488]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.1.bias - torch.Size([488]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.2.weight - torch.Size([1952, 488, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.2.bias - torch.Size([1952]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.4.weight - torch.Size([168, 1952, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block1.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.0.weight - torch.Size([656, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.0.bias - torch.Size([656]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.1.weight - torch.Size([656]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.1.bias - torch.Size([656]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.2.weight - torch.Size([2624, 656, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.2.bias - torch.Size([2624]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.4.weight - torch.Size([168, 2624, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block2.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.0.weight - torch.Size([824, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.0.bias - torch.Size([824]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.1.weight - torch.Size([824]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.1.bias - torch.Size([824]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.2.weight - torch.Size([3296, 824, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.2.bias - torch.Size([3296]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.4.weight - torch.Size([168, 3296, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.0.weight - torch.Size([992]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.0.bias - torch.Size([992]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.1.weight - torch.Size([496, 992, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.1.bias - torch.Size([496]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block0.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.0.weight - torch.Size([496, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.0.bias - torch.Size([496]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.1.weight - torch.Size([496]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.1.bias - torch.Size([496]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.2.weight - torch.Size([1984, 496, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.2.bias - torch.Size([1984]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.4.weight - torch.Size([168, 1984, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block1.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.0.weight - torch.Size([664, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.0.bias - torch.Size([664]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.1.weight - torch.Size([664]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.1.bias - torch.Size([664]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.2.weight - torch.Size([2656, 664, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.2.bias - torch.Size([2656]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.4.weight - torch.Size([168, 2656, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block2.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.0.weight - torch.Size([832, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.0.bias - torch.Size([832]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.1.weight - torch.Size([832]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.1.bias - torch.Size([832]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.2.weight - torch.Size([3328, 832, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.2.bias - torch.Size([3328]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.4.weight - torch.Size([168, 3328, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.0.weight - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.0.bias - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.1.weight - torch.Size([496, 1000, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.1.bias - torch.Size([496]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block0.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.0.weight - torch.Size([496, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.0.bias - torch.Size([496]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.1.weight - torch.Size([496]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.1.bias - torch.Size([496]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.2.weight - torch.Size([1984, 496, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.2.bias - torch.Size([1984]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.4.weight - torch.Size([168, 1984, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block1.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.0.weight - torch.Size([664, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.0.bias - torch.Size([664]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.1.weight - torch.Size([664]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.1.bias - torch.Size([664]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.2.weight - torch.Size([2656, 664, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.2.bias - torch.Size([2656]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.4.weight - torch.Size([168, 2656, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block2.gamma - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.0.weight - torch.Size([832, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.0.bias - torch.Size([832]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.1.weight - torch.Size([832]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.1.bias - torch.Size([832]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.2.weight - torch.Size([3328, 832, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.2.bias - torch.Size([3328]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.4.weight - torch.Size([168, 3328, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.4.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.5.fc.weight - torch.Size([168, 168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.5.fc.bias - torch.Size([168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.0.weight - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.0.bias - torch.Size([1000]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.1.weight - torch.Size([496, 1000, 2, 2]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.1.bias - torch.Size([496]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block0.gamma - torch.Size([336]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.0.weight - torch.Size([496, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.0.bias - torch.Size([496]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.1.weight - torch.Size([496]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.1.bias - torch.Size([496]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.2.weight - torch.Size([1984, 496, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.2.bias - torch.Size([1984]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.4.weight - torch.Size([336, 1984, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.4.bias - torch.Size([336]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.5.fc.weight - torch.Size([336, 336, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.5.fc.bias - torch.Size([336]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block1.gamma - torch.Size([336]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.0.weight - torch.Size([832, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.0.bias - torch.Size([832]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.1.weight - torch.Size([832]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.1.bias - torch.Size([832]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.2.weight - torch.Size([3328, 832, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.2.bias - torch.Size([3328]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.4.weight - torch.Size([336, 3328, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.4.bias - torch.Size([336]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.5.fc.weight - torch.Size([336, 336, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.5.fc.bias - torch.Size([336]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block2.gamma - torch.Size([336]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.0.weight - torch.Size([1168, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.0.bias - torch.Size([1168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.1.weight - torch.Size([1168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.1.bias - torch.Size([1168]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.2.weight - torch.Size([4672, 1168, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.2.bias - torch.Size([4672]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.4.weight - torch.Size([336, 4672, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.4.bias - torch.Size([336]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.5.fc.weight - torch.Size([336, 336, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.5.fc.bias - torch.Size([336]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.0.weight - torch.Size([1504]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.0.bias - torch.Size([1504]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.1.weight - torch.Size([752, 1504, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.1.bias - torch.Size([752]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block0.gamma - torch.Size([336]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.0.weight - torch.Size([752, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.0.bias - torch.Size([752]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.1.weight - torch.Size([752]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.1.bias - torch.Size([752]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.2.weight - torch.Size([3008, 752, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.2.bias - torch.Size([3008]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.4.weight - torch.Size([336, 3008, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.4.bias - torch.Size([336]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.5.fc.weight - torch.Size([336, 336, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.5.fc.bias - torch.Size([336]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block1.gamma - torch.Size([336]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.0.weight - torch.Size([1088, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.0.bias - torch.Size([1088]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.1.weight - torch.Size([1088]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.1.bias - torch.Size([1088]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.2.weight - torch.Size([4352, 1088, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.2.bias - torch.Size([4352]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.4.weight - torch.Size([336, 4352, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.4.bias - torch.Size([336]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.5.fc.weight - torch.Size([336, 336, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.5.fc.bias - torch.Size([336]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block2.gamma - torch.Size([336]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.0.weight - torch.Size([1424, 1, 7, 7]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.0.bias - torch.Size([1424]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.1.weight - torch.Size([1424]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.1.bias - torch.Size([1424]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.2.weight - torch.Size([5696, 1424, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.2.bias - torch.Size([5696]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.4.weight - torch.Size([336, 5696, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.4.bias - torch.Size([336]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.5.fc.weight - torch.Size([336, 336, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.5.fc.bias - torch.Size([336]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.conv_seg.weight - torch.Size([150, 512, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 decode_head.conv_seg.bias - torch.Size([150]): NormalInit: mean=0, std=0.01, bias=0 decode_head.psp_modules.0.1.conv.weight - torch.Size([512, 1760, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.psp_modules.0.1.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.psp_modules.0.1.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.psp_modules.1.1.conv.weight - torch.Size([512, 1760, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.psp_modules.1.1.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.psp_modules.1.1.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.psp_modules.2.1.conv.weight - torch.Size([512, 1760, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.psp_modules.2.1.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.psp_modules.2.1.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.psp_modules.3.1.conv.weight - torch.Size([512, 1760, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.psp_modules.3.1.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.psp_modules.3.1.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.bottleneck.conv.weight - torch.Size([512, 3808, 3, 3]): Initialized by user-defined `init_weights` in ConvModule decode_head.bottleneck.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.bottleneck.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.lateral_convs.0.conv.weight - torch.Size([512, 408, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.lateral_convs.0.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.lateral_convs.0.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.lateral_convs.1.conv.weight - torch.Size([512, 584, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.lateral_convs.1.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.lateral_convs.1.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.lateral_convs.2.conv.weight - torch.Size([512, 1000, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.lateral_convs.2.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.lateral_convs.2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fpn_convs.0.conv.weight - torch.Size([512, 512, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fpn_convs.0.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fpn_convs.0.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fpn_convs.1.conv.weight - torch.Size([512, 512, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fpn_convs.1.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fpn_convs.1.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fpn_convs.2.conv.weight - torch.Size([512, 512, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fpn_convs.2.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fpn_convs.2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fpn_bottleneck.conv.weight - torch.Size([512, 2048, 3, 3]): Initialized by user-defined `init_weights` in ConvModule decode_head.fpn_bottleneck.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder decode_head.fpn_bottleneck.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder auxiliary_head.conv_seg.weight - torch.Size([150, 256, 1, 1]): NormalInit: mean=0, std=0.01, bias=0 auxiliary_head.conv_seg.bias - torch.Size([150]): NormalInit: mean=0, std=0.01, bias=0 auxiliary_head.convs.0.conv.weight - torch.Size([256, 1000, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder auxiliary_head.convs.0.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder auxiliary_head.convs.0.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder 2024-03-04 10:01:29,778 - mmseg - INFO - EncoderDecoder( (backbone): DNetBackbone( (timm_model): FeatureListNet( (stem): PatchifyStem2( (stem): Sequential( (0): Conv2d(3, 120, kernel_size=(4, 4), stride=(4, 4)) (1): LayerNorm2d((120,), eps=1e-06, elementwise_affine=True) ) ) (dense_stages_0): Sequential( (0): DenseStage( (dense_block0): DenseBlock( (drop_path): Identity() (layers): DNFAF( (layers): Sequential( (0): Conv2d(120, 120, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=120) (1): LayerNorm2d((120,), eps=1e-06, elementwise_affine=True) (2): Conv2d(120, 480, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(480, 96, kernel_size=(1, 1), stride=(1, 1)) ) ) ) (dense_block1): DenseBlock( (drop_path): DropPath(drop_prob=0.006) (layers): DNFAF( (layers): Sequential( (0): Conv2d(216, 216, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=216) (1): LayerNorm2d((216,), eps=1e-06, elementwise_affine=True) (2): Conv2d(216, 864, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(864, 96, kernel_size=(1, 1), stride=(1, 1)) ) ) ) (dense_block2): DenseBlock( (drop_path): DropPath(drop_prob=0.013) (layers): DNFAF( (layers): Sequential( (0): Conv2d(312, 312, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=312) (1): LayerNorm2d((312,), eps=1e-06, elementwise_affine=True) (2): Conv2d(312, 1248, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(1248, 96, kernel_size=(1, 1), stride=(1, 1)) ) ) ) ) (1): Identity() ) (dense_stages_1): Sequential( (0): LayerNorm2d((408,), eps=1e-06, elementwise_affine=True) (1): Conv2d(408, 200, kernel_size=(2, 2), stride=(2, 2)) (2): DenseStage( (dense_block0): DenseBlock( (drop_path): DropPath(drop_prob=0.019) (layers): DNFAF( (layers): Sequential( (0): Conv2d(200, 200, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=200) (1): LayerNorm2d((200,), eps=1e-06, elementwise_affine=True) (2): Conv2d(200, 800, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(800, 128, kernel_size=(1, 1), stride=(1, 1)) ) ) ) (dense_block1): DenseBlock( (drop_path): DropPath(drop_prob=0.025) (layers): DNFAF( (layers): Sequential( (0): Conv2d(328, 328, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=328) (1): LayerNorm2d((328,), eps=1e-06, elementwise_affine=True) (2): Conv2d(328, 1312, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(1312, 128, kernel_size=(1, 1), stride=(1, 1)) ) ) ) (dense_block2): DenseBlock( (drop_path): DropPath(drop_prob=0.031) (layers): DNFAF( (layers): Sequential( (0): Conv2d(456, 456, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=456) (1): LayerNorm2d((456,), eps=1e-06, elementwise_affine=True) (2): Conv2d(456, 1824, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(1824, 128, kernel_size=(1, 1), stride=(1, 1)) ) ) ) ) (3): Identity() ) (dense_stages_2): Sequential( (0): LayerNorm2d((584,), eps=1e-06, elementwise_affine=True) (1): Conv2d(584, 288, kernel_size=(2, 2), stride=(2, 2)) (2): DenseStage( (dense_block0): DenseBlock( (drop_path): DropPath(drop_prob=0.038) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(288, 288, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=288) (1): LayerNorm2d((288,), eps=1e-06, elementwise_affine=True) (2): Conv2d(288, 1152, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(1152, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) (dense_block1): DenseBlock( (drop_path): DropPath(drop_prob=0.044) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(456, 456, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=456) (1): LayerNorm2d((456,), eps=1e-06, elementwise_affine=True) (2): Conv2d(456, 1824, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(1824, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) (dense_block2): DenseBlock( (drop_path): DropPath(drop_prob=0.050) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(624, 624, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=624) (1): LayerNorm2d((624,), eps=1e-06, elementwise_affine=True) (2): Conv2d(624, 2496, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(2496, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) ) (3): Identity() ) (dense_stages_3): Sequential( (0): LayerNorm2d((792,), eps=1e-06, elementwise_affine=True) (1): Conv2d(792, 392, kernel_size=(1, 1), stride=(1, 1)) (2): DenseStage( (dense_block0): DenseBlock( (drop_path): DropPath(drop_prob=0.056) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(392, 392, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=392) (1): LayerNorm2d((392,), eps=1e-06, elementwise_affine=True) (2): Conv2d(392, 1568, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(1568, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) (dense_block1): DenseBlock( (drop_path): DropPath(drop_prob=0.062) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(560, 560, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=560) (1): LayerNorm2d((560,), eps=1e-06, elementwise_affine=True) (2): Conv2d(560, 2240, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(2240, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) (dense_block2): DenseBlock( (drop_path): DropPath(drop_prob=0.069) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(728, 728, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=728) (1): LayerNorm2d((728,), eps=1e-06, elementwise_affine=True) (2): Conv2d(728, 2912, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(2912, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) ) (3): Identity() ) (dense_stages_4): Sequential( (0): LayerNorm2d((896,), eps=1e-06, elementwise_affine=True) (1): Conv2d(896, 448, kernel_size=(1, 1), stride=(1, 1)) (2): DenseStage( (dense_block0): DenseBlock( (drop_path): DropPath(drop_prob=0.075) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(448, 448, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=448) (1): LayerNorm2d((448,), eps=1e-06, elementwise_affine=True) (2): Conv2d(448, 1792, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(1792, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) (dense_block1): DenseBlock( (drop_path): DropPath(drop_prob=0.081) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(616, 616, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=616) (1): LayerNorm2d((616,), eps=1e-06, elementwise_affine=True) (2): Conv2d(616, 2464, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(2464, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) (dense_block2): DenseBlock( (drop_path): DropPath(drop_prob=0.088) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(784, 784, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=784) (1): LayerNorm2d((784,), eps=1e-06, elementwise_affine=True) (2): Conv2d(784, 3136, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(3136, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) ) (3): Identity() ) (dense_stages_5): Sequential( (0): LayerNorm2d((952,), eps=1e-06, elementwise_affine=True) (1): Conv2d(952, 472, kernel_size=(1, 1), stride=(1, 1)) (2): DenseStage( (dense_block0): DenseBlock( (drop_path): DropPath(drop_prob=0.094) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(472, 472, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=472) (1): LayerNorm2d((472,), eps=1e-06, elementwise_affine=True) (2): Conv2d(472, 1888, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(1888, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) (dense_block1): DenseBlock( (drop_path): DropPath(drop_prob=0.100) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(640, 640, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=640) (1): LayerNorm2d((640,), eps=1e-06, elementwise_affine=True) (2): Conv2d(640, 2560, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(2560, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) (dense_block2): DenseBlock( (drop_path): DropPath(drop_prob=0.106) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(808, 808, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=808) (1): LayerNorm2d((808,), eps=1e-06, elementwise_affine=True) (2): Conv2d(808, 3232, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(3232, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) ) (3): Identity() ) (dense_stages_6): Sequential( (0): LayerNorm2d((976,), eps=1e-06, elementwise_affine=True) (1): Conv2d(976, 488, kernel_size=(1, 1), stride=(1, 1)) (2): DenseStage( (dense_block0): DenseBlock( (drop_path): DropPath(drop_prob=0.113) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(488, 488, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=488) (1): LayerNorm2d((488,), eps=1e-06, elementwise_affine=True) (2): Conv2d(488, 1952, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(1952, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) (dense_block1): DenseBlock( (drop_path): DropPath(drop_prob=0.119) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(656, 656, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=656) (1): LayerNorm2d((656,), eps=1e-06, elementwise_affine=True) (2): Conv2d(656, 2624, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(2624, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) (dense_block2): DenseBlock( (drop_path): DropPath(drop_prob=0.125) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(824, 824, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=824) (1): LayerNorm2d((824,), eps=1e-06, elementwise_affine=True) (2): Conv2d(824, 3296, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(3296, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) ) (3): Identity() ) (dense_stages_7): Sequential( (0): LayerNorm2d((992,), eps=1e-06, elementwise_affine=True) (1): Conv2d(992, 496, kernel_size=(1, 1), stride=(1, 1)) (2): DenseStage( (dense_block0): DenseBlock( (drop_path): DropPath(drop_prob=0.131) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(496, 496, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=496) (1): LayerNorm2d((496,), eps=1e-06, elementwise_affine=True) (2): Conv2d(496, 1984, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(1984, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) (dense_block1): DenseBlock( (drop_path): DropPath(drop_prob=0.138) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(664, 664, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=664) (1): LayerNorm2d((664,), eps=1e-06, elementwise_affine=True) (2): Conv2d(664, 2656, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(2656, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) (dense_block2): DenseBlock( (drop_path): DropPath(drop_prob=0.144) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(832, 832, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=832) (1): LayerNorm2d((832,), eps=1e-06, elementwise_affine=True) (2): Conv2d(832, 3328, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(3328, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) ) (3): Identity() ) (dense_stages_8): Sequential( (0): LayerNorm2d((1000,), eps=1e-06, elementwise_affine=True) (1): Conv2d(1000, 496, kernel_size=(1, 1), stride=(1, 1)) (2): DenseStage( (dense_block0): DenseBlock( (drop_path): DropPath(drop_prob=0.150) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(496, 496, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=496) (1): LayerNorm2d((496,), eps=1e-06, elementwise_affine=True) (2): Conv2d(496, 1984, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(1984, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) (dense_block1): DenseBlock( (drop_path): DropPath(drop_prob=0.156) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(664, 664, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=664) (1): LayerNorm2d((664,), eps=1e-06, elementwise_affine=True) (2): Conv2d(664, 2656, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(2656, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) (dense_block2): DenseBlock( (drop_path): DropPath(drop_prob=0.163) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(832, 832, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=832) (1): LayerNorm2d((832,), eps=1e-06, elementwise_affine=True) (2): Conv2d(832, 3328, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(3328, 168, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(168, 168, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) ) (3): Identity() ) (dense_stages_9): Sequential( (0): LayerNorm2d((1000,), eps=1e-06, elementwise_affine=True) (1): Conv2d(1000, 496, kernel_size=(2, 2), stride=(2, 2)) (2): DenseStage( (dense_block0): DenseBlock( (drop_path): DropPath(drop_prob=0.169) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(496, 496, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=496) (1): LayerNorm2d((496,), eps=1e-06, elementwise_affine=True) (2): Conv2d(496, 1984, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(1984, 336, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(336, 336, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) (dense_block1): DenseBlock( (drop_path): DropPath(drop_prob=0.175) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(832, 832, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=832) (1): LayerNorm2d((832,), eps=1e-06, elementwise_affine=True) (2): Conv2d(832, 3328, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(3328, 336, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(336, 336, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) (dense_block2): DenseBlock( (drop_path): DropPath(drop_prob=0.181) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(1168, 1168, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=1168) (1): LayerNorm2d((1168,), eps=1e-06, elementwise_affine=True) (2): Conv2d(1168, 4672, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(4672, 336, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(336, 336, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) ) (3): Identity() ) (dense_stages_10): Sequential( (0): LayerNorm2d((1504,), eps=1e-06, elementwise_affine=True) (1): Conv2d(1504, 752, kernel_size=(1, 1), stride=(1, 1)) (2): DenseStage( (dense_block0): DenseBlock( (drop_path): DropPath(drop_prob=0.188) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(752, 752, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=752) (1): LayerNorm2d((752,), eps=1e-06, elementwise_affine=True) (2): Conv2d(752, 3008, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(3008, 336, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(336, 336, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) (dense_block1): DenseBlock( (drop_path): DropPath(drop_prob=0.194) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(1088, 1088, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=1088) (1): LayerNorm2d((1088,), eps=1e-06, elementwise_affine=True) (2): Conv2d(1088, 4352, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(4352, 336, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(336, 336, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) (dense_block2): DenseBlock( (drop_path): DropPath(drop_prob=0.200) (layers): DNFAF_ESE( (layers): Sequential( (0): Conv2d(1424, 1424, kernel_size=(7, 7), stride=(1, 1), padding=(3, 3), groups=1424) (1): LayerNorm2d((1424,), eps=1e-06, elementwise_affine=True) (2): Conv2d(1424, 5696, kernel_size=(1, 1), stride=(1, 1)) (3): GELU() (4): Conv2d(5696, 336, kernel_size=(1, 1), stride=(1, 1)) (5): EffectiveSEModule( (fc): Conv2d(336, 336, kernel_size=(1, 1), stride=(1, 1)) (gate): Hardsigmoid() ) ) ) ) ) (3): Identity() ) ) ) (decode_head): UPerHead( input_transform=multiple_select, ignore_index=255, align_corners=False (loss_decode): CrossEntropyLoss() (conv_seg): Conv2d(512, 150, kernel_size=(1, 1), stride=(1, 1)) (dropout): Dropout2d(p=0.1, inplace=False) (psp_modules): PPM( (0): Sequential( (0): AdaptiveAvgPool2d(output_size=1) (1): ConvModule( (conv): Conv2d(1760, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) ) (1): Sequential( (0): AdaptiveAvgPool2d(output_size=2) (1): ConvModule( (conv): Conv2d(1760, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) ) (2): Sequential( (0): AdaptiveAvgPool2d(output_size=3) (1): ConvModule( (conv): Conv2d(1760, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) ) (3): Sequential( (0): AdaptiveAvgPool2d(output_size=6) (1): ConvModule( (conv): Conv2d(1760, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) ) ) (bottleneck): ConvModule( (conv): Conv2d(3808, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) (lateral_convs): ModuleList( (0): ConvModule( (conv): Conv2d(408, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU() ) (1): ConvModule( (conv): Conv2d(584, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU() ) (2): ConvModule( (conv): Conv2d(1000, 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU() ) ) (fpn_convs): ModuleList( (0): ConvModule( (conv): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU() ) (1): ConvModule( (conv): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU() ) (2): ConvModule( (conv): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU() ) ) (fpn_bottleneck): ConvModule( (conv): Conv2d(2048, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn): SyncBatchNorm(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) ) init_cfg={'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} (auxiliary_head): FCNHead( input_transform=None, ignore_index=255, align_corners=False (loss_decode): CrossEntropyLoss() (conv_seg): Conv2d(256, 150, kernel_size=(1, 1), stride=(1, 1)) (dropout): Dropout2d(p=0.1, inplace=False) (convs): Sequential( (0): ConvModule( (conv): Conv2d(1000, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (activate): ReLU(inplace=True) ) ) ) init_cfg={'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} ) 2024-03-04 10:01:30,020 - mmseg - INFO - Loaded 20210 images 2024-03-04 10:01:31,334 - mmseg - INFO - self.paramwise_cfg is {'decay_rate': 0.9, 'decay_type': 'stage_wise', 'num_layers': 7, 'model_name': 'dnet_tiny'} 2024-03-04 10:01:31,335 - mmseg - INFO - Build LearningRateDecayOptimizerConstructor stage_wise 0.9 - 9 2024-03-04 10:01:31,335 - mmseg - INFO - set param backbone.timm_model.stem.stem.0.weight as id 0 2024-03-04 10:01:31,335 - mmseg - INFO - set param backbone.timm_model.stem.stem.0.bias as id 0 2024-03-04 10:01:31,335 - mmseg - INFO - set param backbone.timm_model.stem.stem.1.weight as id 0 2024-03-04 10:01:31,335 - mmseg - INFO - set param backbone.timm_model.stem.stem.1.bias as id 0 2024-03-04 10:01:31,335 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block0.gamma as id 1 2024-03-04 10:01:31,335 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.0.weight as id 1 2024-03-04 10:01:31,335 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.0.bias as id 1 2024-03-04 10:01:31,335 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.1.weight as id 1 2024-03-04 10:01:31,335 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.1.bias as id 1 2024-03-04 10:01:31,335 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.2.weight as id 1 2024-03-04 10:01:31,335 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.2.bias as id 1 2024-03-04 10:01:31,335 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.4.weight as id 1 2024-03-04 10:01:31,335 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.4.bias as id 1 2024-03-04 10:01:31,335 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block1.gamma as id 1 2024-03-04 10:01:31,335 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.0.weight as id 1 2024-03-04 10:01:31,335 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.0.bias as id 1 2024-03-04 10:01:31,335 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.1.weight as id 1 2024-03-04 10:01:31,335 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.1.bias as id 1 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.2.weight as id 1 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.2.bias as id 1 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.4.weight as id 1 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.4.bias as id 1 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block2.gamma as id 1 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.0.weight as id 1 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.0.bias as id 1 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.1.weight as id 1 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.1.bias as id 1 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.2.weight as id 1 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.2.bias as id 1 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.4.weight as id 1 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.4.bias as id 1 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.0.weight as id 2 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.0.bias as id 2 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.1.weight as id 2 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.1.bias as id 2 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block0.gamma as id 2 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.0.weight as id 2 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.0.bias as id 2 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.1.weight as id 2 2024-03-04 10:01:31,336 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.1.bias as id 2 2024-03-04 10:01:31,337 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.2.weight as id 2 2024-03-04 10:01:31,337 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.2.bias as id 2 2024-03-04 10:01:31,337 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.4.weight as id 2 2024-03-04 10:01:31,337 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.4.bias as id 2 2024-03-04 10:01:31,337 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block1.gamma as id 2 2024-03-04 10:01:31,337 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.0.weight as id 2 2024-03-04 10:01:31,337 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.0.bias as id 2 2024-03-04 10:01:31,337 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.1.weight as id 2 2024-03-04 10:01:31,337 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.1.bias as id 2 2024-03-04 10:01:31,337 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.2.weight as id 2 2024-03-04 10:01:31,337 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.2.bias as id 2 2024-03-04 10:01:31,337 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.4.weight as id 2 2024-03-04 10:01:31,337 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.4.bias as id 2 2024-03-04 10:01:31,337 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block2.gamma as id 2 2024-03-04 10:01:31,337 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.0.weight as id 2 2024-03-04 10:01:31,337 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.0.bias as id 2 2024-03-04 10:01:31,337 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.1.weight as id 2 2024-03-04 10:01:31,337 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.1.bias as id 2 2024-03-04 10:01:31,337 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.2.weight as id 2 2024-03-04 10:01:31,337 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.2.bias as id 2 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.4.weight as id 2 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.4.bias as id 2 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.0.weight as id 3 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.0.bias as id 3 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.1.weight as id 3 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.1.bias as id 3 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block0.gamma as id 3 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.0.weight as id 3 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.0.bias as id 3 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.1.weight as id 3 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.1.bias as id 3 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.2.weight as id 3 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.2.bias as id 3 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.4.weight as id 3 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.4.bias as id 3 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.5.fc.weight as id 3 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.5.fc.bias as id 3 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block1.gamma as id 3 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.0.weight as id 3 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.0.bias as id 3 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.1.weight as id 3 2024-03-04 10:01:31,338 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.1.bias as id 3 2024-03-04 10:01:31,339 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.2.weight as id 3 2024-03-04 10:01:31,339 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.2.bias as id 3 2024-03-04 10:01:31,339 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.4.weight as id 3 2024-03-04 10:01:31,339 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.4.bias as id 3 2024-03-04 10:01:31,339 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.5.fc.weight as id 3 2024-03-04 10:01:31,339 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.5.fc.bias as id 3 2024-03-04 10:01:31,339 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block2.gamma as id 3 2024-03-04 10:01:31,339 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.0.weight as id 3 2024-03-04 10:01:31,339 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.0.bias as id 3 2024-03-04 10:01:31,339 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.1.weight as id 3 2024-03-04 10:01:31,339 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.1.bias as id 3 2024-03-04 10:01:31,339 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.2.weight as id 3 2024-03-04 10:01:31,339 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.2.bias as id 3 2024-03-04 10:01:31,339 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.4.weight as id 3 2024-03-04 10:01:31,339 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.4.bias as id 3 2024-03-04 10:01:31,339 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.5.fc.weight as id 3 2024-03-04 10:01:31,339 - mmseg - INFO - set param backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.5.fc.bias as id 3 2024-03-04 10:01:31,339 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.0.weight as id 4 2024-03-04 10:01:31,339 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.0.bias as id 4 2024-03-04 10:01:31,339 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.1.weight as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.1.bias as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block0.gamma as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.0.weight as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.0.bias as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.1.weight as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.1.bias as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.2.weight as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.2.bias as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.4.weight as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.4.bias as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.5.fc.weight as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.5.fc.bias as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block1.gamma as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.0.weight as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.0.bias as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.1.weight as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.1.bias as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.2.weight as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.2.bias as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.4.weight as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.4.bias as id 4 2024-03-04 10:01:31,340 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.5.fc.weight as id 4 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.5.fc.bias as id 4 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block2.gamma as id 4 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.0.weight as id 4 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.0.bias as id 4 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.1.weight as id 4 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.1.bias as id 4 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.2.weight as id 4 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.2.bias as id 4 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.4.weight as id 4 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.4.bias as id 4 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.5.fc.weight as id 4 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.5.fc.bias as id 4 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.0.weight as id 5 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.0.bias as id 5 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.1.weight as id 5 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.1.bias as id 5 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block0.gamma as id 5 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.0.weight as id 5 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.0.bias as id 5 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.1.weight as id 5 2024-03-04 10:01:31,341 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.1.bias as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.2.weight as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.2.bias as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.4.weight as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.4.bias as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.5.fc.weight as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.5.fc.bias as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block1.gamma as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.0.weight as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.0.bias as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.1.weight as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.1.bias as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.2.weight as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.2.bias as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.4.weight as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.4.bias as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.5.fc.weight as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.5.fc.bias as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block2.gamma as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.0.weight as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.0.bias as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.1.weight as id 5 2024-03-04 10:01:31,342 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.1.bias as id 5 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.2.weight as id 5 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.2.bias as id 5 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.4.weight as id 5 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.4.bias as id 5 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.5.fc.weight as id 5 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.5.fc.bias as id 5 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.0.weight as id 6 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.0.bias as id 6 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.1.weight as id 6 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.1.bias as id 6 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block0.gamma as id 6 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.0.weight as id 6 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.0.bias as id 6 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.1.weight as id 6 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.1.bias as id 6 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.2.weight as id 6 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.2.bias as id 6 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.4.weight as id 6 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.4.bias as id 6 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.5.fc.weight as id 6 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.5.fc.bias as id 6 2024-03-04 10:01:31,343 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block1.gamma as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.0.weight as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.0.bias as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.1.weight as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.1.bias as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.2.weight as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.2.bias as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.4.weight as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.4.bias as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.5.fc.weight as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.5.fc.bias as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block2.gamma as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.0.weight as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.0.bias as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.1.weight as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.1.bias as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.2.weight as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.2.bias as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.4.weight as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.4.bias as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.5.fc.weight as id 6 2024-03-04 10:01:31,344 - mmseg - INFO - set param backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.5.fc.bias as id 6 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.0.weight as id 7 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.0.bias as id 7 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.1.weight as id 7 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.1.bias as id 7 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block0.gamma as id 7 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.0.weight as id 7 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.0.bias as id 7 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.1.weight as id 7 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.1.bias as id 7 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.2.weight as id 7 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.2.bias as id 7 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.4.weight as id 7 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.4.bias as id 7 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.5.fc.weight as id 7 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.5.fc.bias as id 7 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block1.gamma as id 7 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.0.weight as id 7 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.0.bias as id 7 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.1.weight as id 7 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.1.bias as id 7 2024-03-04 10:01:31,345 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.2.weight as id 7 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.2.bias as id 7 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.4.weight as id 7 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.4.bias as id 7 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.5.fc.weight as id 7 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.5.fc.bias as id 7 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block2.gamma as id 7 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.0.weight as id 7 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.0.bias as id 7 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.1.weight as id 7 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.1.bias as id 7 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.2.weight as id 7 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.2.bias as id 7 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.4.weight as id 7 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.4.bias as id 7 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.5.fc.weight as id 7 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.5.fc.bias as id 7 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.0.weight as id 8 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.0.bias as id 8 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.1.weight as id 8 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.1.bias as id 8 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block0.gamma as id 8 2024-03-04 10:01:31,346 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.0.weight as id 8 2024-03-04 10:01:31,347 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.0.bias as id 8 2024-03-04 10:01:31,347 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.1.weight as id 8 2024-03-04 10:01:31,347 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.1.bias as id 8 2024-03-04 10:01:31,347 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.2.weight as id 8 2024-03-04 10:01:31,347 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.2.bias as id 8 2024-03-04 10:01:31,347 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.4.weight as id 8 2024-03-04 10:01:31,347 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.4.bias as id 8 2024-03-04 10:01:31,347 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.5.fc.weight as id 8 2024-03-04 10:01:31,347 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.5.fc.bias as id 8 2024-03-04 10:01:31,347 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block1.gamma as id 8 2024-03-04 10:01:31,347 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.0.weight as id 8 2024-03-04 10:01:31,347 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.0.bias as id 8 2024-03-04 10:01:31,347 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.1.weight as id 8 2024-03-04 10:01:31,347 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.1.bias as id 8 2024-03-04 10:01:31,347 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.2.weight as id 8 2024-03-04 10:01:31,347 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.2.bias as id 8 2024-03-04 10:01:31,347 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.4.weight as id 8 2024-03-04 10:01:31,347 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.4.bias as id 8 2024-03-04 10:01:31,347 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.5.fc.weight as id 8 2024-03-04 10:01:31,347 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.5.fc.bias as id 8 2024-03-04 10:01:31,348 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block2.gamma as id 8 2024-03-04 10:01:31,348 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.0.weight as id 8 2024-03-04 10:01:31,348 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.0.bias as id 8 2024-03-04 10:01:31,348 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.1.weight as id 8 2024-03-04 10:01:31,348 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.1.bias as id 8 2024-03-04 10:01:31,348 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.2.weight as id 8 2024-03-04 10:01:31,348 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.2.bias as id 8 2024-03-04 10:01:31,348 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.4.weight as id 8 2024-03-04 10:01:31,348 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.4.bias as id 8 2024-03-04 10:01:31,348 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.5.fc.weight as id 8 2024-03-04 10:01:31,348 - mmseg - INFO - set param backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.5.fc.bias as id 8 2024-03-04 10:01:31,348 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.0.weight as id 9 2024-03-04 10:01:31,348 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.0.bias as id 9 2024-03-04 10:01:31,348 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.1.weight as id 9 2024-03-04 10:01:31,348 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.1.bias as id 9 2024-03-04 10:01:31,348 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block0.gamma as id 9 2024-03-04 10:01:31,348 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.0.weight as id 9 2024-03-04 10:01:31,348 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.0.bias as id 9 2024-03-04 10:01:31,348 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.1.weight as id 9 2024-03-04 10:01:31,349 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.1.bias as id 9 2024-03-04 10:01:31,349 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.2.weight as id 9 2024-03-04 10:01:31,349 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.2.bias as id 9 2024-03-04 10:01:31,349 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.4.weight as id 9 2024-03-04 10:01:31,349 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.4.bias as id 9 2024-03-04 10:01:31,349 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.5.fc.weight as id 9 2024-03-04 10:01:31,349 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.5.fc.bias as id 9 2024-03-04 10:01:31,349 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block1.gamma as id 9 2024-03-04 10:01:31,349 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.0.weight as id 9 2024-03-04 10:01:31,349 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.0.bias as id 9 2024-03-04 10:01:31,349 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.1.weight as id 9 2024-03-04 10:01:31,349 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.1.bias as id 9 2024-03-04 10:01:31,349 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.2.weight as id 9 2024-03-04 10:01:31,349 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.2.bias as id 9 2024-03-04 10:01:31,349 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.4.weight as id 9 2024-03-04 10:01:31,349 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.4.bias as id 9 2024-03-04 10:01:31,349 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.5.fc.weight as id 9 2024-03-04 10:01:31,349 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.5.fc.bias as id 9 2024-03-04 10:01:31,349 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block2.gamma as id 9 2024-03-04 10:01:31,349 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.0.weight as id 9 2024-03-04 10:01:31,350 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.0.bias as id 9 2024-03-04 10:01:31,350 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.1.weight as id 9 2024-03-04 10:01:31,350 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.1.bias as id 9 2024-03-04 10:01:31,350 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.2.weight as id 9 2024-03-04 10:01:31,350 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.2.bias as id 9 2024-03-04 10:01:31,350 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.4.weight as id 9 2024-03-04 10:01:31,350 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.4.bias as id 9 2024-03-04 10:01:31,350 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.5.fc.weight as id 9 2024-03-04 10:01:31,350 - mmseg - INFO - set param backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.5.fc.bias as id 9 2024-03-04 10:01:31,350 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.0.weight as id 10 2024-03-04 10:01:31,350 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.0.bias as id 10 2024-03-04 10:01:31,350 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.1.weight as id 10 2024-03-04 10:01:31,350 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.1.bias as id 10 2024-03-04 10:01:31,350 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block0.gamma as id 10 2024-03-04 10:01:31,350 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.0.weight as id 10 2024-03-04 10:01:31,350 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.0.bias as id 10 2024-03-04 10:01:31,350 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.1.weight as id 10 2024-03-04 10:01:31,350 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.1.bias as id 10 2024-03-04 10:01:31,350 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.2.weight as id 10 2024-03-04 10:01:31,350 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.2.bias as id 10 2024-03-04 10:01:31,351 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.4.weight as id 10 2024-03-04 10:01:31,351 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.4.bias as id 10 2024-03-04 10:01:31,351 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.5.fc.weight as id 10 2024-03-04 10:01:31,351 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.5.fc.bias as id 10 2024-03-04 10:01:31,351 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block1.gamma as id 10 2024-03-04 10:01:31,351 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.0.weight as id 10 2024-03-04 10:01:31,351 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.0.bias as id 10 2024-03-04 10:01:31,351 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.1.weight as id 10 2024-03-04 10:01:31,351 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.1.bias as id 10 2024-03-04 10:01:31,351 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.2.weight as id 10 2024-03-04 10:01:31,351 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.2.bias as id 10 2024-03-04 10:01:31,351 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.4.weight as id 10 2024-03-04 10:01:31,351 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.4.bias as id 10 2024-03-04 10:01:31,351 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.5.fc.weight as id 10 2024-03-04 10:01:31,351 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.5.fc.bias as id 10 2024-03-04 10:01:31,351 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block2.gamma as id 10 2024-03-04 10:01:31,351 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.0.weight as id 10 2024-03-04 10:01:31,351 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.0.bias as id 10 2024-03-04 10:01:31,351 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.1.weight as id 10 2024-03-04 10:01:31,352 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.1.bias as id 10 2024-03-04 10:01:31,352 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.2.weight as id 10 2024-03-04 10:01:31,352 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.2.bias as id 10 2024-03-04 10:01:31,352 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.4.weight as id 10 2024-03-04 10:01:31,352 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.4.bias as id 10 2024-03-04 10:01:31,352 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.5.fc.weight as id 10 2024-03-04 10:01:31,352 - mmseg - INFO - set param backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.5.fc.bias as id 10 2024-03-04 10:01:31,352 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.0.weight as id 11 2024-03-04 10:01:31,352 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.0.bias as id 11 2024-03-04 10:01:31,352 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.1.weight as id 11 2024-03-04 10:01:31,352 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.1.bias as id 11 2024-03-04 10:01:31,352 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block0.gamma as id 11 2024-03-04 10:01:31,352 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.0.weight as id 11 2024-03-04 10:01:31,352 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.0.bias as id 11 2024-03-04 10:01:31,352 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.1.weight as id 11 2024-03-04 10:01:31,352 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.1.bias as id 11 2024-03-04 10:01:31,352 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.2.weight as id 11 2024-03-04 10:01:31,352 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.2.bias as id 11 2024-03-04 10:01:31,353 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.4.weight as id 11 2024-03-04 10:01:31,353 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.4.bias as id 11 2024-03-04 10:01:31,353 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.5.fc.weight as id 11 2024-03-04 10:01:31,353 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.5.fc.bias as id 11 2024-03-04 10:01:31,353 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block1.gamma as id 11 2024-03-04 10:01:31,353 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.0.weight as id 11 2024-03-04 10:01:31,353 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.0.bias as id 11 2024-03-04 10:01:31,353 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.1.weight as id 11 2024-03-04 10:01:31,353 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.1.bias as id 11 2024-03-04 10:01:31,353 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.2.weight as id 11 2024-03-04 10:01:31,353 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.2.bias as id 11 2024-03-04 10:01:31,353 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.4.weight as id 11 2024-03-04 10:01:31,353 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.4.bias as id 11 2024-03-04 10:01:31,353 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.5.fc.weight as id 11 2024-03-04 10:01:31,353 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.5.fc.bias as id 11 2024-03-04 10:01:31,353 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block2.gamma as id 11 2024-03-04 10:01:31,353 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.0.weight as id 11 2024-03-04 10:01:31,353 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.0.bias as id 11 2024-03-04 10:01:31,353 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.1.weight as id 11 2024-03-04 10:01:31,353 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.1.bias as id 11 2024-03-04 10:01:31,354 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.2.weight as id 11 2024-03-04 10:01:31,354 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.2.bias as id 11 2024-03-04 10:01:31,354 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.4.weight as id 11 2024-03-04 10:01:31,354 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.4.bias as id 11 2024-03-04 10:01:31,354 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.5.fc.weight as id 11 2024-03-04 10:01:31,354 - mmseg - INFO - set param backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.5.fc.bias as id 11 2024-03-04 10:01:31,354 - mmseg - INFO - set param decode_head.conv_seg.weight as id 10 2024-03-04 10:01:31,354 - mmseg - INFO - set param decode_head.conv_seg.bias as id 10 2024-03-04 10:01:31,354 - mmseg - INFO - set param decode_head.psp_modules.0.1.conv.weight as id 10 2024-03-04 10:01:31,354 - mmseg - INFO - set param decode_head.psp_modules.0.1.bn.weight as id 10 2024-03-04 10:01:31,354 - mmseg - INFO - set param decode_head.psp_modules.0.1.bn.bias as id 10 2024-03-04 10:01:31,354 - mmseg - INFO - set param decode_head.psp_modules.1.1.conv.weight as id 10 2024-03-04 10:01:31,354 - mmseg - INFO - set param decode_head.psp_modules.1.1.bn.weight as id 10 2024-03-04 10:01:31,354 - mmseg - INFO - set param decode_head.psp_modules.1.1.bn.bias as id 10 2024-03-04 10:01:31,354 - mmseg - INFO - set param decode_head.psp_modules.2.1.conv.weight as id 10 2024-03-04 10:01:31,354 - mmseg - INFO - set param decode_head.psp_modules.2.1.bn.weight as id 10 2024-03-04 10:01:31,354 - mmseg - INFO - set param decode_head.psp_modules.2.1.bn.bias as id 10 2024-03-04 10:01:31,354 - mmseg - INFO - set param decode_head.psp_modules.3.1.conv.weight as id 10 2024-03-04 10:01:31,354 - mmseg - INFO - set param decode_head.psp_modules.3.1.bn.weight as id 10 2024-03-04 10:01:31,354 - mmseg - INFO - set param decode_head.psp_modules.3.1.bn.bias as id 10 2024-03-04 10:01:31,355 - mmseg - INFO - set param decode_head.bottleneck.conv.weight as id 10 2024-03-04 10:01:31,355 - mmseg - INFO - set param decode_head.bottleneck.bn.weight as id 10 2024-03-04 10:01:31,355 - mmseg - INFO - set param decode_head.bottleneck.bn.bias as id 10 2024-03-04 10:01:31,355 - mmseg - INFO - set param decode_head.lateral_convs.0.conv.weight as id 10 2024-03-04 10:01:31,355 - mmseg - INFO - set param decode_head.lateral_convs.0.bn.weight as id 10 2024-03-04 10:01:31,355 - mmseg - INFO - set param decode_head.lateral_convs.0.bn.bias as id 10 2024-03-04 10:01:31,355 - mmseg - INFO - set param decode_head.lateral_convs.1.conv.weight as id 10 2024-03-04 10:01:31,355 - mmseg - INFO - set param decode_head.lateral_convs.1.bn.weight as id 10 2024-03-04 10:01:31,355 - mmseg - INFO - set param decode_head.lateral_convs.1.bn.bias as id 10 2024-03-04 10:01:31,355 - mmseg - INFO - set param decode_head.lateral_convs.2.conv.weight as id 10 2024-03-04 10:01:31,355 - mmseg - INFO - set param decode_head.lateral_convs.2.bn.weight as id 10 2024-03-04 10:01:31,355 - mmseg - INFO - set param decode_head.lateral_convs.2.bn.bias as id 10 2024-03-04 10:01:31,355 - mmseg - INFO - set param decode_head.fpn_convs.0.conv.weight as id 10 2024-03-04 10:01:31,355 - mmseg - INFO - set param decode_head.fpn_convs.0.bn.weight as id 10 2024-03-04 10:01:31,355 - mmseg - INFO - set param decode_head.fpn_convs.0.bn.bias as id 10 2024-03-04 10:01:31,355 - mmseg - INFO - set param decode_head.fpn_convs.1.conv.weight as id 10 2024-03-04 10:01:31,355 - mmseg - INFO - set param decode_head.fpn_convs.1.bn.weight as id 10 2024-03-04 10:01:31,355 - mmseg - INFO - set param decode_head.fpn_convs.1.bn.bias as id 10 2024-03-04 10:01:31,355 - mmseg - INFO - set param decode_head.fpn_convs.2.conv.weight as id 10 2024-03-04 10:01:31,356 - mmseg - INFO - set param decode_head.fpn_convs.2.bn.weight as id 10 2024-03-04 10:01:31,356 - mmseg - INFO - set param decode_head.fpn_convs.2.bn.bias as id 10 2024-03-04 10:01:31,356 - mmseg - INFO - set param decode_head.fpn_bottleneck.conv.weight as id 10 2024-03-04 10:01:31,356 - mmseg - INFO - set param decode_head.fpn_bottleneck.bn.weight as id 10 2024-03-04 10:01:31,356 - mmseg - INFO - set param decode_head.fpn_bottleneck.bn.bias as id 10 2024-03-04 10:01:31,356 - mmseg - INFO - set param auxiliary_head.conv_seg.weight as id 10 2024-03-04 10:01:31,356 - mmseg - INFO - set param auxiliary_head.conv_seg.bias as id 10 2024-03-04 10:01:31,356 - mmseg - INFO - set param auxiliary_head.convs.0.conv.weight as id 10 2024-03-04 10:01:31,356 - mmseg - INFO - set param auxiliary_head.convs.0.bn.weight as id 10 2024-03-04 10:01:31,356 - mmseg - INFO - set param auxiliary_head.convs.0.bn.bias as id 10 2024-03-04 10:01:31,357 - mmseg - INFO - Param groups = { "layer_0_decay": { "param_names": [ "backbone.timm_model.stem.stem.0.weight" ], "lr_scale": 0.4304672100000001, "lr": 3.443737680000001e-05, "weight_decay": 0.01 }, "layer_0_no_decay": { "param_names": [ "backbone.timm_model.stem.stem.0.bias", "backbone.timm_model.stem.stem.1.weight", "backbone.timm_model.stem.stem.1.bias" ], "lr_scale": 0.4304672100000001, "lr": 3.443737680000001e-05, "weight_decay": 0.0 }, "layer_1_no_decay": { "param_names": [ "backbone.timm_model.dense_stages_0.0.dense_block0.gamma", "backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.0.bias", "backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.1.weight", "backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.1.bias", "backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.2.bias", "backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.4.bias", "backbone.timm_model.dense_stages_0.0.dense_block1.gamma", "backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.0.bias", "backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.1.weight", "backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.1.bias", "backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.2.bias", "backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.4.bias", "backbone.timm_model.dense_stages_0.0.dense_block2.gamma", "backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.0.bias", "backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.1.weight", "backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.1.bias", "backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.2.bias", "backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.4.bias" ], "lr_scale": 0.4782969000000001, "lr": 3.8263752000000007e-05, "weight_decay": 0.0 }, "layer_1_decay": { "param_names": [ "backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.0.weight", "backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.2.weight", "backbone.timm_model.dense_stages_0.0.dense_block0.layers.layers.4.weight", "backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.0.weight", "backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.2.weight", "backbone.timm_model.dense_stages_0.0.dense_block1.layers.layers.4.weight", "backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.0.weight", "backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.2.weight", "backbone.timm_model.dense_stages_0.0.dense_block2.layers.layers.4.weight" ], "lr_scale": 0.4782969000000001, "lr": 3.8263752000000007e-05, "weight_decay": 0.01 }, "layer_2_no_decay": { "param_names": [ "backbone.timm_model.dense_stages_1.0.weight", "backbone.timm_model.dense_stages_1.0.bias", "backbone.timm_model.dense_stages_1.1.bias", "backbone.timm_model.dense_stages_1.2.dense_block0.gamma", "backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.0.bias", "backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.1.weight", "backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.1.bias", "backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.2.bias", "backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.4.bias", "backbone.timm_model.dense_stages_1.2.dense_block1.gamma", "backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.0.bias", "backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.1.weight", "backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.1.bias", "backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.2.bias", "backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.4.bias", "backbone.timm_model.dense_stages_1.2.dense_block2.gamma", "backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.0.bias", "backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.1.weight", "backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.1.bias", "backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.2.bias", "backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.4.bias" ], "lr_scale": 0.531441, "lr": 4.251528000000001e-05, "weight_decay": 0.0 }, "layer_2_decay": { "param_names": [ "backbone.timm_model.dense_stages_1.1.weight", "backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.0.weight", "backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.2.weight", "backbone.timm_model.dense_stages_1.2.dense_block0.layers.layers.4.weight", "backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.0.weight", "backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.2.weight", "backbone.timm_model.dense_stages_1.2.dense_block1.layers.layers.4.weight", "backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.0.weight", "backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.2.weight", "backbone.timm_model.dense_stages_1.2.dense_block2.layers.layers.4.weight" ], "lr_scale": 0.531441, "lr": 4.251528000000001e-05, "weight_decay": 0.01 }, "layer_3_no_decay": { "param_names": [ "backbone.timm_model.dense_stages_2.0.weight", "backbone.timm_model.dense_stages_2.0.bias", "backbone.timm_model.dense_stages_2.1.bias", "backbone.timm_model.dense_stages_2.2.dense_block0.gamma", "backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.0.bias", "backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.1.weight", "backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.1.bias", "backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.2.bias", "backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.4.bias", "backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.5.fc.bias", "backbone.timm_model.dense_stages_2.2.dense_block1.gamma", "backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.0.bias", "backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.1.weight", "backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.1.bias", "backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.2.bias", "backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.4.bias", "backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.5.fc.bias", "backbone.timm_model.dense_stages_2.2.dense_block2.gamma", "backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.0.bias", "backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.1.weight", "backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.1.bias", "backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.2.bias", "backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.4.bias", "backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.5.fc.bias" ], "lr_scale": 0.5904900000000001, "lr": 4.723920000000001e-05, "weight_decay": 0.0 }, "layer_3_decay": { "param_names": [ "backbone.timm_model.dense_stages_2.1.weight", "backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.0.weight", "backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.2.weight", "backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.4.weight", "backbone.timm_model.dense_stages_2.2.dense_block0.layers.layers.5.fc.weight", "backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.0.weight", "backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.2.weight", "backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.4.weight", "backbone.timm_model.dense_stages_2.2.dense_block1.layers.layers.5.fc.weight", "backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.0.weight", "backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.2.weight", "backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.4.weight", "backbone.timm_model.dense_stages_2.2.dense_block2.layers.layers.5.fc.weight" ], "lr_scale": 0.5904900000000001, "lr": 4.723920000000001e-05, "weight_decay": 0.01 }, "layer_4_no_decay": { "param_names": [ "backbone.timm_model.dense_stages_3.0.weight", "backbone.timm_model.dense_stages_3.0.bias", "backbone.timm_model.dense_stages_3.1.bias", "backbone.timm_model.dense_stages_3.2.dense_block0.gamma", "backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.0.bias", "backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.1.weight", "backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.1.bias", "backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.2.bias", "backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.4.bias", "backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.5.fc.bias", "backbone.timm_model.dense_stages_3.2.dense_block1.gamma", "backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.0.bias", "backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.1.weight", "backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.1.bias", "backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.2.bias", "backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.4.bias", "backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.5.fc.bias", "backbone.timm_model.dense_stages_3.2.dense_block2.gamma", "backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.0.bias", "backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.1.weight", "backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.1.bias", "backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.2.bias", "backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.4.bias", "backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.5.fc.bias" ], "lr_scale": 0.6561, "lr": 5.2488e-05, "weight_decay": 0.0 }, "layer_4_decay": { "param_names": [ "backbone.timm_model.dense_stages_3.1.weight", "backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.0.weight", "backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.2.weight", "backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.4.weight", "backbone.timm_model.dense_stages_3.2.dense_block0.layers.layers.5.fc.weight", "backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.0.weight", "backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.2.weight", "backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.4.weight", "backbone.timm_model.dense_stages_3.2.dense_block1.layers.layers.5.fc.weight", "backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.0.weight", "backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.2.weight", "backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.4.weight", "backbone.timm_model.dense_stages_3.2.dense_block2.layers.layers.5.fc.weight" ], "lr_scale": 0.6561, "lr": 5.2488e-05, "weight_decay": 0.01 }, "layer_5_no_decay": { "param_names": [ "backbone.timm_model.dense_stages_4.0.weight", "backbone.timm_model.dense_stages_4.0.bias", "backbone.timm_model.dense_stages_4.1.bias", "backbone.timm_model.dense_stages_4.2.dense_block0.gamma", "backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.0.bias", "backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.1.weight", "backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.1.bias", "backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.2.bias", "backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.4.bias", "backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.5.fc.bias", "backbone.timm_model.dense_stages_4.2.dense_block1.gamma", "backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.0.bias", "backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.1.weight", "backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.1.bias", "backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.2.bias", "backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.4.bias", "backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.5.fc.bias", "backbone.timm_model.dense_stages_4.2.dense_block2.gamma", "backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.0.bias", "backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.1.weight", "backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.1.bias", "backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.2.bias", "backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.4.bias", "backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.5.fc.bias" ], "lr_scale": 0.7290000000000001, "lr": 5.832000000000001e-05, "weight_decay": 0.0 }, "layer_5_decay": { "param_names": [ "backbone.timm_model.dense_stages_4.1.weight", "backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.0.weight", "backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.2.weight", "backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.4.weight", "backbone.timm_model.dense_stages_4.2.dense_block0.layers.layers.5.fc.weight", "backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.0.weight", "backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.2.weight", "backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.4.weight", "backbone.timm_model.dense_stages_4.2.dense_block1.layers.layers.5.fc.weight", "backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.0.weight", "backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.2.weight", "backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.4.weight", "backbone.timm_model.dense_stages_4.2.dense_block2.layers.layers.5.fc.weight" ], "lr_scale": 0.7290000000000001, "lr": 5.832000000000001e-05, "weight_decay": 0.01 }, "layer_6_no_decay": { "param_names": [ "backbone.timm_model.dense_stages_5.0.weight", "backbone.timm_model.dense_stages_5.0.bias", "backbone.timm_model.dense_stages_5.1.bias", "backbone.timm_model.dense_stages_5.2.dense_block0.gamma", "backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.0.bias", "backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.1.weight", "backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.1.bias", "backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.2.bias", "backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.4.bias", "backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.5.fc.bias", "backbone.timm_model.dense_stages_5.2.dense_block1.gamma", "backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.0.bias", "backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.1.weight", "backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.1.bias", "backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.2.bias", "backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.4.bias", "backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.5.fc.bias", "backbone.timm_model.dense_stages_5.2.dense_block2.gamma", "backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.0.bias", "backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.1.weight", "backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.1.bias", "backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.2.bias", "backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.4.bias", "backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.5.fc.bias" ], "lr_scale": 0.81, "lr": 6.48e-05, "weight_decay": 0.0 }, "layer_6_decay": { "param_names": [ "backbone.timm_model.dense_stages_5.1.weight", "backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.0.weight", "backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.2.weight", "backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.4.weight", "backbone.timm_model.dense_stages_5.2.dense_block0.layers.layers.5.fc.weight", "backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.0.weight", "backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.2.weight", "backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.4.weight", "backbone.timm_model.dense_stages_5.2.dense_block1.layers.layers.5.fc.weight", "backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.0.weight", "backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.2.weight", "backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.4.weight", "backbone.timm_model.dense_stages_5.2.dense_block2.layers.layers.5.fc.weight" ], "lr_scale": 0.81, "lr": 6.48e-05, "weight_decay": 0.01 }, "layer_7_no_decay": { "param_names": [ "backbone.timm_model.dense_stages_6.0.weight", "backbone.timm_model.dense_stages_6.0.bias", "backbone.timm_model.dense_stages_6.1.bias", "backbone.timm_model.dense_stages_6.2.dense_block0.gamma", "backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.0.bias", "backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.1.weight", "backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.1.bias", "backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.2.bias", "backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.4.bias", "backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.5.fc.bias", "backbone.timm_model.dense_stages_6.2.dense_block1.gamma", "backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.0.bias", "backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.1.weight", "backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.1.bias", "backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.2.bias", "backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.4.bias", "backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.5.fc.bias", "backbone.timm_model.dense_stages_6.2.dense_block2.gamma", "backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.0.bias", "backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.1.weight", "backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.1.bias", "backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.2.bias", "backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.4.bias", "backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.5.fc.bias" ], "lr_scale": 0.9, "lr": 7.2e-05, "weight_decay": 0.0 }, "layer_7_decay": { "param_names": [ "backbone.timm_model.dense_stages_6.1.weight", "backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.0.weight", "backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.2.weight", "backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.4.weight", "backbone.timm_model.dense_stages_6.2.dense_block0.layers.layers.5.fc.weight", "backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.0.weight", "backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.2.weight", "backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.4.weight", "backbone.timm_model.dense_stages_6.2.dense_block1.layers.layers.5.fc.weight", "backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.0.weight", "backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.2.weight", "backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.4.weight", "backbone.timm_model.dense_stages_6.2.dense_block2.layers.layers.5.fc.weight" ], "lr_scale": 0.9, "lr": 7.2e-05, "weight_decay": 0.01 }, "layer_8_no_decay": { "param_names": [ "backbone.timm_model.dense_stages_7.0.weight", "backbone.timm_model.dense_stages_7.0.bias", "backbone.timm_model.dense_stages_7.1.bias", "backbone.timm_model.dense_stages_7.2.dense_block0.gamma", "backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.0.bias", "backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.1.weight", "backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.1.bias", "backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.2.bias", "backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.4.bias", "backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.5.fc.bias", "backbone.timm_model.dense_stages_7.2.dense_block1.gamma", "backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.0.bias", "backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.1.weight", "backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.1.bias", "backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.2.bias", "backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.4.bias", "backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.5.fc.bias", "backbone.timm_model.dense_stages_7.2.dense_block2.gamma", "backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.0.bias", "backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.1.weight", "backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.1.bias", "backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.2.bias", "backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.4.bias", "backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.5.fc.bias" ], "lr_scale": 1.0, "lr": 8e-05, "weight_decay": 0.0 }, "layer_8_decay": { "param_names": [ "backbone.timm_model.dense_stages_7.1.weight", "backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.0.weight", "backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.2.weight", "backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.4.weight", "backbone.timm_model.dense_stages_7.2.dense_block0.layers.layers.5.fc.weight", "backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.0.weight", "backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.2.weight", "backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.4.weight", "backbone.timm_model.dense_stages_7.2.dense_block1.layers.layers.5.fc.weight", "backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.0.weight", "backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.2.weight", "backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.4.weight", "backbone.timm_model.dense_stages_7.2.dense_block2.layers.layers.5.fc.weight" ], "lr_scale": 1.0, "lr": 8e-05, "weight_decay": 0.01 }, "layer_9_no_decay": { "param_names": [ "backbone.timm_model.dense_stages_8.0.weight", "backbone.timm_model.dense_stages_8.0.bias", "backbone.timm_model.dense_stages_8.1.bias", "backbone.timm_model.dense_stages_8.2.dense_block0.gamma", "backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.0.bias", "backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.1.weight", "backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.1.bias", "backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.2.bias", "backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.4.bias", "backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.5.fc.bias", "backbone.timm_model.dense_stages_8.2.dense_block1.gamma", "backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.0.bias", "backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.1.weight", "backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.1.bias", "backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.2.bias", "backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.4.bias", "backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.5.fc.bias", "backbone.timm_model.dense_stages_8.2.dense_block2.gamma", "backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.0.bias", "backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.1.weight", "backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.1.bias", "backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.2.bias", "backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.4.bias", "backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.5.fc.bias" ], "lr_scale": 1.1111111111111112, "lr": 8.88888888888889e-05, "weight_decay": 0.0 }, "layer_9_decay": { "param_names": [ "backbone.timm_model.dense_stages_8.1.weight", "backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.0.weight", "backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.2.weight", "backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.4.weight", "backbone.timm_model.dense_stages_8.2.dense_block0.layers.layers.5.fc.weight", "backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.0.weight", "backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.2.weight", "backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.4.weight", "backbone.timm_model.dense_stages_8.2.dense_block1.layers.layers.5.fc.weight", "backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.0.weight", "backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.2.weight", "backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.4.weight", "backbone.timm_model.dense_stages_8.2.dense_block2.layers.layers.5.fc.weight" ], "lr_scale": 1.1111111111111112, "lr": 8.88888888888889e-05, "weight_decay": 0.01 }, "layer_10_no_decay": { "param_names": [ "backbone.timm_model.dense_stages_9.0.weight", "backbone.timm_model.dense_stages_9.0.bias", "backbone.timm_model.dense_stages_9.1.bias", "backbone.timm_model.dense_stages_9.2.dense_block0.gamma", "backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.0.bias", "backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.1.weight", "backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.1.bias", "backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.2.bias", "backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.4.bias", "backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.5.fc.bias", "backbone.timm_model.dense_stages_9.2.dense_block1.gamma", "backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.0.bias", "backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.1.weight", "backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.1.bias", "backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.2.bias", "backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.4.bias", "backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.5.fc.bias", "backbone.timm_model.dense_stages_9.2.dense_block2.gamma", "backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.0.bias", "backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.1.weight", "backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.1.bias", "backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.2.bias", "backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.4.bias", "backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.5.fc.bias", "decode_head.conv_seg.bias", "decode_head.psp_modules.0.1.bn.weight", "decode_head.psp_modules.0.1.bn.bias", "decode_head.psp_modules.1.1.bn.weight", "decode_head.psp_modules.1.1.bn.bias", "decode_head.psp_modules.2.1.bn.weight", "decode_head.psp_modules.2.1.bn.bias", "decode_head.psp_modules.3.1.bn.weight", "decode_head.psp_modules.3.1.bn.bias", "decode_head.bottleneck.bn.weight", "decode_head.bottleneck.bn.bias", "decode_head.lateral_convs.0.bn.weight", "decode_head.lateral_convs.0.bn.bias", "decode_head.lateral_convs.1.bn.weight", "decode_head.lateral_convs.1.bn.bias", "decode_head.lateral_convs.2.bn.weight", "decode_head.lateral_convs.2.bn.bias", "decode_head.fpn_convs.0.bn.weight", "decode_head.fpn_convs.0.bn.bias", "decode_head.fpn_convs.1.bn.weight", "decode_head.fpn_convs.1.bn.bias", "decode_head.fpn_convs.2.bn.weight", "decode_head.fpn_convs.2.bn.bias", "decode_head.fpn_bottleneck.bn.weight", "decode_head.fpn_bottleneck.bn.bias", "auxiliary_head.conv_seg.bias", "auxiliary_head.convs.0.bn.weight", "auxiliary_head.convs.0.bn.bias" ], "lr_scale": 1.2345679012345678, "lr": 9.876543209876544e-05, "weight_decay": 0.0 }, "layer_10_decay": { "param_names": [ "backbone.timm_model.dense_stages_9.1.weight", "backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.0.weight", "backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.2.weight", "backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.4.weight", "backbone.timm_model.dense_stages_9.2.dense_block0.layers.layers.5.fc.weight", "backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.0.weight", "backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.2.weight", "backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.4.weight", "backbone.timm_model.dense_stages_9.2.dense_block1.layers.layers.5.fc.weight", "backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.0.weight", "backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.2.weight", "backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.4.weight", "backbone.timm_model.dense_stages_9.2.dense_block2.layers.layers.5.fc.weight", "decode_head.conv_seg.weight", "decode_head.psp_modules.0.1.conv.weight", "decode_head.psp_modules.1.1.conv.weight", "decode_head.psp_modules.2.1.conv.weight", "decode_head.psp_modules.3.1.conv.weight", "decode_head.bottleneck.conv.weight", "decode_head.lateral_convs.0.conv.weight", "decode_head.lateral_convs.1.conv.weight", "decode_head.lateral_convs.2.conv.weight", "decode_head.fpn_convs.0.conv.weight", "decode_head.fpn_convs.1.conv.weight", "decode_head.fpn_convs.2.conv.weight", "decode_head.fpn_bottleneck.conv.weight", "auxiliary_head.conv_seg.weight", "auxiliary_head.convs.0.conv.weight" ], "lr_scale": 1.2345679012345678, "lr": 9.876543209876544e-05, "weight_decay": 0.01 }, "layer_11_no_decay": { "param_names": [ "backbone.timm_model.dense_stages_10.0.weight", "backbone.timm_model.dense_stages_10.0.bias", "backbone.timm_model.dense_stages_10.1.bias", "backbone.timm_model.dense_stages_10.2.dense_block0.gamma", "backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.0.bias", "backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.1.weight", "backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.1.bias", "backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.2.bias", "backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.4.bias", "backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.5.fc.bias", "backbone.timm_model.dense_stages_10.2.dense_block1.gamma", "backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.0.bias", "backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.1.weight", "backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.1.bias", "backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.2.bias", "backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.4.bias", "backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.5.fc.bias", "backbone.timm_model.dense_stages_10.2.dense_block2.gamma", "backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.0.bias", "backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.1.weight", "backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.1.bias", "backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.2.bias", "backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.4.bias", "backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.5.fc.bias" ], "lr_scale": 1.371742112482853, "lr": 0.00010973936899862826, "weight_decay": 0.0 }, "layer_11_decay": { "param_names": [ "backbone.timm_model.dense_stages_10.1.weight", "backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.0.weight", "backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.2.weight", "backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.4.weight", "backbone.timm_model.dense_stages_10.2.dense_block0.layers.layers.5.fc.weight", "backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.0.weight", "backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.2.weight", "backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.4.weight", "backbone.timm_model.dense_stages_10.2.dense_block1.layers.layers.5.fc.weight", "backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.0.weight", "backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.2.weight", "backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.4.weight", "backbone.timm_model.dense_stages_10.2.dense_block2.layers.layers.5.fc.weight" ], "lr_scale": 1.371742112482853, "lr": 0.00010973936899862826, "weight_decay": 0.01 } } 2024-03-04 10:01:32,691 - mmseg - INFO - Loaded 2000 images 2024-03-04 10:01:32,692 - mmseg - INFO - Start running, host: root@node0, work_dir: /mnt/cmlssd004/public/donghyun/dnet_exps/mmseg/dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9_390_0 2024-03-04 10:01:32,692 - mmseg - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) PolyLrUpdaterHook (ABOVE_NORMAL) Fp16OptimizerHook (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook (VERY_LOW ) WandbLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) PolyLrUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook (VERY_LOW ) WandbLoggerHook -------------------- before_train_iter: (VERY_HIGH ) PolyLrUpdaterHook (NORMAL ) UnfreezeDNetIterBasedHook (LOW ) IterTimerHook (LOW ) DistEvalHook -------------------- after_train_iter: (ABOVE_NORMAL) Fp16OptimizerHook (NORMAL ) CheckpointHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook (VERY_LOW ) WandbLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook (VERY_LOW ) WandbLoggerHook -------------------- before_val_epoch: (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook (VERY_LOW ) WandbLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (VERY_LOW ) TextLoggerHook (VERY_LOW ) WandbLoggerHook -------------------- after_run: (VERY_LOW ) TextLoggerHook (VERY_LOW ) WandbLoggerHook -------------------- 2024-03-04 10:01:32,692 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters 2024-03-04 10:01:32,695 - mmseg - INFO - Checkpoints will be saved to /mnt/cmlssd004/public/donghyun/dnet_exps/mmseg/dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9_390_0 by HardDiskBackend. 2024-03-04 10:04:11,422 - mmseg - INFO - Iter [50/160000] lr: 1.125e-06, eta: 5 days, 0:04:13, time: 2.702, data_time: 0.010, memory: 9361, decode.loss_ce: 4.0895, decode.acc_seg: 0.8400, aux.loss_ce: 1.6277, aux.acc_seg: 1.0479, loss: 5.7173 2024-03-04 10:04:47,861 - mmseg - INFO - Iter [100/160000] lr: 2.272e-06, eta: 3 days, 4:12:03, time: 0.729, data_time: 0.033, memory: 9361, decode.loss_ce: 3.9263, decode.acc_seg: 10.3054, aux.loss_ce: 1.6036, aux.acc_seg: 1.5960, loss: 5.5299 2024-03-04 10:05:24,130 - mmseg - INFO - Iter [150/160000] lr: 3.418e-06, eta: 2 days, 13:31:14, time: 0.725, data_time: 0.031, memory: 9361, decode.loss_ce: 3.6285, decode.acc_seg: 36.2725, aux.loss_ce: 1.5853, aux.acc_seg: 5.5892, loss: 5.2138 2024-03-04 10:06:00,117 - mmseg - INFO - Iter [200/160000] lr: 4.563e-06, eta: 2 days, 6:06:46, time: 0.720, data_time: 0.031, memory: 9361, decode.loss_ce: 3.0895, decode.acc_seg: 47.3782, aux.loss_ce: 1.5278, aux.acc_seg: 22.9478, loss: 4.6173 2024-03-04 10:06:36,280 - mmseg - INFO - Iter [250/160000] lr: 5.708e-06, eta: 2 days, 1:41:44, time: 0.723, data_time: 0.031, memory: 9361, decode.loss_ce: 2.8171, decode.acc_seg: 52.0872, aux.loss_ce: 1.5194, aux.acc_seg: 40.1913, loss: 4.3365 2024-03-04 10:07:12,207 - mmseg - INFO - Iter [300/160000] lr: 6.852e-06, eta: 1 day, 22:42:45, time: 0.719, data_time: 0.031, memory: 9361, decode.loss_ce: 2.5401, decode.acc_seg: 53.8005, aux.loss_ce: 1.4191, aux.acc_seg: 44.5610, loss: 3.9592 2024-03-04 10:07:48,123 - mmseg - INFO - Iter [350/160000] lr: 7.995e-06, eta: 1 day, 20:34:39, time: 0.718, data_time: 0.030, memory: 9361, decode.loss_ce: 2.3074, decode.acc_seg: 56.4288, aux.loss_ce: 1.3115, aux.acc_seg: 47.5157, loss: 3.6189 2024-03-04 10:08:23,940 - mmseg - INFO - Iter [400/160000] lr: 9.138e-06, eta: 1 day, 18:57:45, time: 0.716, data_time: 0.031, memory: 9361, decode.loss_ce: 2.1426, decode.acc_seg: 57.9012, aux.loss_ce: 1.2408, aux.acc_seg: 48.4449, loss: 3.3835 2024-03-04 10:08:59,832 - mmseg - INFO - Iter [450/160000] lr: 1.028e-05, eta: 1 day, 17:42:43, time: 0.718, data_time: 0.031, memory: 9361, decode.loss_ce: 1.9913, decode.acc_seg: 59.0436, aux.loss_ce: 1.1620, aux.acc_seg: 49.7102, loss: 3.1533 2024-03-04 10:09:35,615 - mmseg - INFO - Iter [500/160000] lr: 1.142e-05, eta: 1 day, 16:41:58, time: 0.716, data_time: 0.031, memory: 9361, decode.loss_ce: 1.8525, decode.acc_seg: 59.3761, aux.loss_ce: 1.0933, aux.acc_seg: 50.4204, loss: 2.9459 2024-03-04 10:10:11,216 - mmseg - INFO - Iter [550/160000] lr: 1.256e-05, eta: 1 day, 15:51:18, time: 0.712, data_time: 0.031, memory: 9361, decode.loss_ce: 1.7756, decode.acc_seg: 60.0560, aux.loss_ce: 1.0460, aux.acc_seg: 50.4564, loss: 2.8216 2024-03-04 10:10:46,921 - mmseg - INFO - Iter [600/160000] lr: 1.370e-05, eta: 1 day, 15:09:25, time: 0.714, data_time: 0.032, memory: 9361, decode.loss_ce: 1.6241, decode.acc_seg: 61.5607, aux.loss_ce: 0.9702, aux.acc_seg: 52.5149, loss: 2.5943 2024-03-04 10:11:22,765 - mmseg - INFO - Iter [650/160000] lr: 1.484e-05, eta: 1 day, 14:34:28, time: 0.717, data_time: 0.031, memory: 9361, decode.loss_ce: 1.5952, decode.acc_seg: 60.6375, aux.loss_ce: 0.9382, aux.acc_seg: 52.1673, loss: 2.5334 2024-03-04 10:11:58,607 - mmseg - INFO - Iter [700/160000] lr: 1.598e-05, eta: 1 day, 14:04:25, time: 0.717, data_time: 0.031, memory: 9361, decode.loss_ce: 1.5441, decode.acc_seg: 62.1105, aux.loss_ce: 0.9073, aux.acc_seg: 52.4817, loss: 2.4514 2024-03-04 10:12:34,550 - mmseg - INFO - Iter [750/160000] lr: 1.712e-05, eta: 1 day, 13:38:39, time: 0.719, data_time: 0.031, memory: 9361, decode.loss_ce: 1.4398, decode.acc_seg: 63.7190, aux.loss_ce: 0.8426, aux.acc_seg: 54.4915, loss: 2.2825 2024-03-04 10:13:10,455 - mmseg - INFO - Iter [800/160000] lr: 1.825e-05, eta: 1 day, 13:15:54, time: 0.718, data_time: 0.031, memory: 9361, decode.loss_ce: 1.4153, decode.acc_seg: 63.5699, aux.loss_ce: 0.8053, aux.acc_seg: 54.6464, loss: 2.2205 2024-03-04 10:13:45,783 - mmseg - INFO - Iter [850/160000] lr: 1.939e-05, eta: 1 day, 12:53:57, time: 0.707, data_time: 0.025, memory: 9361, decode.loss_ce: 1.4038, decode.acc_seg: 62.7636, aux.loss_ce: 0.7813, aux.acc_seg: 54.9994, loss: 2.1851 2024-03-04 10:14:21,003 - mmseg - INFO - Iter [900/160000] lr: 2.052e-05, eta: 1 day, 12:34:04, time: 0.704, data_time: 0.018, memory: 9361, decode.loss_ce: 1.3335, decode.acc_seg: 63.5295, aux.loss_ce: 0.7442, aux.acc_seg: 55.9241, loss: 2.0777 2024-03-04 10:14:56,213 - mmseg - INFO - Iter [950/160000] lr: 2.166e-05, eta: 1 day, 12:16:11, time: 0.704, data_time: 0.019, memory: 9361, decode.loss_ce: 1.2821, decode.acc_seg: 64.3373, aux.loss_ce: 0.7089, aux.acc_seg: 56.8577, loss: 1.9910 2024-03-04 10:15:31,360 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 10:15:31,361 - mmseg - INFO - Iter [1000/160000] lr: 2.279e-05, eta: 1 day, 11:59:52, time: 0.703, data_time: 0.017, memory: 9361, decode.loss_ce: 1.3005, decode.acc_seg: 63.2007, aux.loss_ce: 0.7077, aux.acc_seg: 55.4880, loss: 2.0082 2024-03-04 10:16:06,380 - mmseg - INFO - Iter [1050/160000] lr: 2.393e-05, eta: 1 day, 11:44:43, time: 0.700, data_time: 0.015, memory: 9361, decode.loss_ce: 1.3271, decode.acc_seg: 62.2730, aux.loss_ce: 0.6987, aux.acc_seg: 55.3987, loss: 2.0258 2024-03-04 10:16:41,579 - mmseg - INFO - Iter [1100/160000] lr: 2.506e-05, eta: 1 day, 11:31:20, time: 0.704, data_time: 0.018, memory: 9361, decode.loss_ce: 1.2205, decode.acc_seg: 65.1489, aux.loss_ce: 0.6572, aux.acc_seg: 58.1269, loss: 1.8778 2024-03-04 10:17:16,732 - mmseg - INFO - Iter [1150/160000] lr: 2.619e-05, eta: 1 day, 11:18:55, time: 0.703, data_time: 0.013, memory: 9361, decode.loss_ce: 1.1902, decode.acc_seg: 65.1508, aux.loss_ce: 0.6356, aux.acc_seg: 58.5212, loss: 1.8258 2024-03-04 10:17:52,417 - mmseg - INFO - Iter [1200/160000] lr: 2.732e-05, eta: 1 day, 11:08:44, time: 0.714, data_time: 0.025, memory: 9361, decode.loss_ce: 1.1484, decode.acc_seg: 66.4209, aux.loss_ce: 0.6181, aux.acc_seg: 58.8493, loss: 1.7665 2024-03-04 10:18:27,950 - mmseg - INFO - Iter [1250/160000] lr: 2.845e-05, eta: 1 day, 10:58:57, time: 0.711, data_time: 0.019, memory: 9361, decode.loss_ce: 1.1584, decode.acc_seg: 65.6113, aux.loss_ce: 0.6073, aux.acc_seg: 59.1229, loss: 1.7657 2024-03-04 10:19:06,231 - mmseg - INFO - Iter [1300/160000] lr: 2.958e-05, eta: 1 day, 10:55:28, time: 0.766, data_time: 0.073, memory: 9361, decode.loss_ce: 1.1109, decode.acc_seg: 66.8661, aux.loss_ce: 0.5875, aux.acc_seg: 60.4306, loss: 1.6984 2024-03-04 10:19:41,454 - mmseg - INFO - Iter [1350/160000] lr: 3.071e-05, eta: 1 day, 10:46:13, time: 0.704, data_time: 0.017, memory: 9361, decode.loss_ce: 1.1190, decode.acc_seg: 65.9485, aux.loss_ce: 0.5822, aux.acc_seg: 59.7551, loss: 1.7013 2024-03-04 10:20:16,766 - mmseg - INFO - Iter [1400/160000] lr: 3.184e-05, eta: 1 day, 10:37:45, time: 0.706, data_time: 0.017, memory: 9361, decode.loss_ce: 1.1064, decode.acc_seg: 66.2485, aux.loss_ce: 0.5769, aux.acc_seg: 60.6373, loss: 1.6833 2024-03-04 10:20:52,166 - mmseg - INFO - Iter [1450/160000] lr: 3.297e-05, eta: 1 day, 10:29:59, time: 0.708, data_time: 0.019, memory: 9361, decode.loss_ce: 1.0467, decode.acc_seg: 67.9562, aux.loss_ce: 0.5539, aux.acc_seg: 62.2889, loss: 1.6007 2024-03-04 10:21:27,690 - mmseg - INFO - Iter [1500/160000] lr: 3.409e-05, eta: 1 day, 10:22:55, time: 0.710, data_time: 0.018, memory: 9361, decode.loss_ce: 1.1315, decode.acc_seg: 65.5912, aux.loss_ce: 0.5765, aux.acc_seg: 61.3270, loss: 1.7080 2024-03-04 10:22:03,398 - mmseg - INFO - Iter [1550/160000] lr: 3.410e-05, eta: 1 day, 10:16:33, time: 0.714, data_time: 0.023, memory: 9361, decode.loss_ce: 1.0399, decode.acc_seg: 67.5420, aux.loss_ce: 0.5385, aux.acc_seg: 62.1434, loss: 1.5784 2024-03-04 10:22:39,123 - mmseg - INFO - Iter [1600/160000] lr: 3.409e-05, eta: 1 day, 10:10:37, time: 0.715, data_time: 0.021, memory: 9361, decode.loss_ce: 1.0773, decode.acc_seg: 67.6225, aux.loss_ce: 0.5518, aux.acc_seg: 63.0136, loss: 1.6291 2024-03-04 10:23:15,161 - mmseg - INFO - Iter [1650/160000] lr: 3.408e-05, eta: 1 day, 10:05:30, time: 0.721, data_time: 0.029, memory: 9361, decode.loss_ce: 1.0784, decode.acc_seg: 66.6584, aux.loss_ce: 0.5550, aux.acc_seg: 61.8618, loss: 1.6334 2024-03-04 10:23:50,655 - mmseg - INFO - Iter [1700/160000] lr: 3.407e-05, eta: 1 day, 9:59:47, time: 0.710, data_time: 0.023, memory: 9361, decode.loss_ce: 1.0396, decode.acc_seg: 66.6401, aux.loss_ce: 0.5356, aux.acc_seg: 62.1032, loss: 1.5751 2024-03-04 10:24:25,952 - mmseg - INFO - Iter [1750/160000] lr: 3.406e-05, eta: 1 day, 9:54:05, time: 0.706, data_time: 0.018, memory: 9361, decode.loss_ce: 1.0625, decode.acc_seg: 66.5911, aux.loss_ce: 0.5400, aux.acc_seg: 62.5163, loss: 1.6026 2024-03-04 10:25:01,239 - mmseg - INFO - Iter [1800/160000] lr: 3.405e-05, eta: 1 day, 9:48:37, time: 0.705, data_time: 0.016, memory: 9361, decode.loss_ce: 0.9780, decode.acc_seg: 69.0388, aux.loss_ce: 0.5028, aux.acc_seg: 64.4356, loss: 1.4808 2024-03-04 10:25:36,842 - mmseg - INFO - Iter [1850/160000] lr: 3.404e-05, eta: 1 day, 9:43:55, time: 0.712, data_time: 0.020, memory: 9361, decode.loss_ce: 0.9243, decode.acc_seg: 70.3639, aux.loss_ce: 0.4974, aux.acc_seg: 64.5944, loss: 1.4217 2024-03-04 10:26:11,688 - mmseg - INFO - Iter [1900/160000] lr: 3.403e-05, eta: 1 day, 9:38:21, time: 0.697, data_time: 0.009, memory: 9361, decode.loss_ce: 1.0053, decode.acc_seg: 68.3323, aux.loss_ce: 0.5199, aux.acc_seg: 63.1785, loss: 1.5252 2024-03-04 10:26:46,583 - mmseg - INFO - Iter [1950/160000] lr: 3.402e-05, eta: 1 day, 9:33:07, time: 0.698, data_time: 0.010, memory: 9361, decode.loss_ce: 0.9734, decode.acc_seg: 68.6340, aux.loss_ce: 0.4998, aux.acc_seg: 63.8297, loss: 1.4732 2024-03-04 10:27:21,497 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 10:27:21,497 - mmseg - INFO - Iter [2000/160000] lr: 3.401e-05, eta: 1 day, 9:28:08, time: 0.698, data_time: 0.009, memory: 9361, decode.loss_ce: 0.9808, decode.acc_seg: 68.6131, aux.loss_ce: 0.5002, aux.acc_seg: 63.9419, loss: 1.4810 2024-03-04 10:27:56,442 - mmseg - INFO - Iter [2050/160000] lr: 3.400e-05, eta: 1 day, 9:23:25, time: 0.699, data_time: 0.009, memory: 9361, decode.loss_ce: 0.9475, decode.acc_seg: 69.8773, aux.loss_ce: 0.4884, aux.acc_seg: 64.6274, loss: 1.4359 2024-03-04 10:28:31,529 - mmseg - INFO - Iter [2100/160000] lr: 3.399e-05, eta: 1 day, 9:19:04, time: 0.702, data_time: 0.011, memory: 9361, decode.loss_ce: 1.0053, decode.acc_seg: 68.1702, aux.loss_ce: 0.5213, aux.acc_seg: 62.6506, loss: 1.5266 2024-03-04 10:29:06,467 - mmseg - INFO - Iter [2150/160000] lr: 3.397e-05, eta: 1 day, 9:14:42, time: 0.699, data_time: 0.013, memory: 9361, decode.loss_ce: 0.9474, decode.acc_seg: 69.4715, aux.loss_ce: 0.4802, aux.acc_seg: 65.2073, loss: 1.4276 2024-03-04 10:29:41,510 - mmseg - INFO - Iter [2200/160000] lr: 3.396e-05, eta: 1 day, 9:10:39, time: 0.701, data_time: 0.010, memory: 9361, decode.loss_ce: 0.9591, decode.acc_seg: 69.0255, aux.loss_ce: 0.4862, aux.acc_seg: 64.7095, loss: 1.4453 2024-03-04 10:30:17,336 - mmseg - INFO - Iter [2250/160000] lr: 3.395e-05, eta: 1 day, 9:07:39, time: 0.717, data_time: 0.027, memory: 9361, decode.loss_ce: 0.9259, decode.acc_seg: 69.7630, aux.loss_ce: 0.4735, aux.acc_seg: 65.2973, loss: 1.3995 2024-03-04 10:30:52,087 - mmseg - INFO - Iter [2300/160000] lr: 3.394e-05, eta: 1 day, 9:03:32, time: 0.695, data_time: 0.009, memory: 9361, decode.loss_ce: 0.9620, decode.acc_seg: 69.0288, aux.loss_ce: 0.4910, aux.acc_seg: 63.8916, loss: 1.4530 2024-03-04 10:31:27,059 - mmseg - INFO - Iter [2350/160000] lr: 3.393e-05, eta: 1 day, 8:59:49, time: 0.699, data_time: 0.012, memory: 9361, decode.loss_ce: 0.8692, decode.acc_seg: 71.8502, aux.loss_ce: 0.4559, aux.acc_seg: 66.5844, loss: 1.3252 2024-03-04 10:32:01,806 - mmseg - INFO - Iter [2400/160000] lr: 3.392e-05, eta: 1 day, 8:55:59, time: 0.695, data_time: 0.009, memory: 9361, decode.loss_ce: 0.8545, decode.acc_seg: 70.5335, aux.loss_ce: 0.4504, aux.acc_seg: 65.7299, loss: 1.3049 2024-03-04 10:32:36,777 - mmseg - INFO - Iter [2450/160000] lr: 3.391e-05, eta: 1 day, 8:52:31, time: 0.699, data_time: 0.009, memory: 9361, decode.loss_ce: 0.8553, decode.acc_seg: 71.9805, aux.loss_ce: 0.4532, aux.acc_seg: 66.0659, loss: 1.3085 2024-03-04 10:33:11,688 - mmseg - INFO - Iter [2500/160000] lr: 3.390e-05, eta: 1 day, 8:49:07, time: 0.699, data_time: 0.011, memory: 9361, decode.loss_ce: 0.9029, decode.acc_seg: 69.7496, aux.loss_ce: 0.4600, aux.acc_seg: 64.6448, loss: 1.3630 2024-03-04 10:33:50,470 - mmseg - INFO - Iter [2550/160000] lr: 3.389e-05, eta: 1 day, 8:49:48, time: 0.776, data_time: 0.079, memory: 9361, decode.loss_ce: 0.8322, decode.acc_seg: 71.4390, aux.loss_ce: 0.4377, aux.acc_seg: 66.1703, loss: 1.2699 2024-03-04 10:34:26,167 - mmseg - INFO - Iter [2600/160000] lr: 3.388e-05, eta: 1 day, 8:47:20, time: 0.714, data_time: 0.026, memory: 9361, decode.loss_ce: 0.8776, decode.acc_seg: 69.9054, aux.loss_ce: 0.4592, aux.acc_seg: 65.0321, loss: 1.3369 2024-03-04 10:35:01,654 - mmseg - INFO - Iter [2650/160000] lr: 3.387e-05, eta: 1 day, 8:44:43, time: 0.710, data_time: 0.022, memory: 9361, decode.loss_ce: 0.8150, decode.acc_seg: 72.4175, aux.loss_ce: 0.4253, aux.acc_seg: 67.7631, loss: 1.2403 2024-03-04 10:35:37,055 - mmseg - INFO - Iter [2700/160000] lr: 3.386e-05, eta: 1 day, 8:42:05, time: 0.708, data_time: 0.023, memory: 9361, decode.loss_ce: 0.8465, decode.acc_seg: 70.7802, aux.loss_ce: 0.4363, aux.acc_seg: 66.1735, loss: 1.2828 2024-03-04 10:36:12,384 - mmseg - INFO - Iter [2750/160000] lr: 3.385e-05, eta: 1 day, 8:39:28, time: 0.707, data_time: 0.026, memory: 9361, decode.loss_ce: 0.7950, decode.acc_seg: 73.2876, aux.loss_ce: 0.4309, aux.acc_seg: 67.1888, loss: 1.2259 2024-03-04 10:36:47,453 - mmseg - INFO - Iter [2800/160000] lr: 3.383e-05, eta: 1 day, 8:36:41, time: 0.701, data_time: 0.016, memory: 9361, decode.loss_ce: 0.8251, decode.acc_seg: 71.7374, aux.loss_ce: 0.4374, aux.acc_seg: 65.9902, loss: 1.2625 2024-03-04 10:37:22,887 - mmseg - INFO - Iter [2850/160000] lr: 3.382e-05, eta: 1 day, 8:34:19, time: 0.709, data_time: 0.025, memory: 9361, decode.loss_ce: 0.8357, decode.acc_seg: 71.6962, aux.loss_ce: 0.4408, aux.acc_seg: 66.4643, loss: 1.2765 2024-03-04 10:37:58,179 - mmseg - INFO - Iter [2900/160000] lr: 3.381e-05, eta: 1 day, 8:31:52, time: 0.706, data_time: 0.021, memory: 9361, decode.loss_ce: 0.8456, decode.acc_seg: 70.9890, aux.loss_ce: 0.4353, aux.acc_seg: 65.7204, loss: 1.2808 2024-03-04 10:38:33,499 - mmseg - INFO - Iter [2950/160000] lr: 3.380e-05, eta: 1 day, 8:29:31, time: 0.706, data_time: 0.020, memory: 9361, decode.loss_ce: 0.8152, decode.acc_seg: 71.5717, aux.loss_ce: 0.4269, aux.acc_seg: 66.2762, loss: 1.2421 2024-03-04 10:39:08,836 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 10:39:08,836 - mmseg - INFO - Iter [3000/160000] lr: 3.379e-05, eta: 1 day, 8:27:14, time: 0.707, data_time: 0.017, memory: 9361, decode.loss_ce: 0.7831, decode.acc_seg: 73.3241, aux.loss_ce: 0.4109, aux.acc_seg: 68.1660, loss: 1.1940 2024-03-04 10:39:43,882 - mmseg - INFO - Iter [3050/160000] lr: 3.378e-05, eta: 1 day, 8:24:45, time: 0.701, data_time: 0.011, memory: 9361, decode.loss_ce: 0.8210, decode.acc_seg: 72.2538, aux.loss_ce: 0.4295, aux.acc_seg: 67.0415, loss: 1.2505 2024-03-04 10:40:18,721 - mmseg - INFO - Iter [3100/160000] lr: 3.377e-05, eta: 1 day, 8:22:10, time: 0.697, data_time: 0.010, memory: 9361, decode.loss_ce: 0.8457, decode.acc_seg: 70.9766, aux.loss_ce: 0.4329, aux.acc_seg: 65.9329, loss: 1.2786 2024-03-04 10:40:53,733 - mmseg - INFO - Iter [3150/160000] lr: 3.376e-05, eta: 1 day, 8:19:47, time: 0.700, data_time: 0.010, memory: 9361, decode.loss_ce: 0.8238, decode.acc_seg: 71.8345, aux.loss_ce: 0.4106, aux.acc_seg: 67.7502, loss: 1.2344 2024-03-04 10:41:28,726 - mmseg - INFO - Iter [3200/160000] lr: 3.375e-05, eta: 1 day, 8:17:27, time: 0.700, data_time: 0.012, memory: 9361, decode.loss_ce: 0.7912, decode.acc_seg: 73.4436, aux.loss_ce: 0.4091, aux.acc_seg: 68.5392, loss: 1.2003 2024-03-04 10:42:03,749 - mmseg - INFO - Iter [3250/160000] lr: 3.374e-05, eta: 1 day, 8:15:11, time: 0.700, data_time: 0.012, memory: 9361, decode.loss_ce: 0.7523, decode.acc_seg: 73.2948, aux.loss_ce: 0.3936, aux.acc_seg: 67.8813, loss: 1.1459 2024-03-04 10:42:38,581 - mmseg - INFO - Iter [3300/160000] lr: 3.373e-05, eta: 1 day, 8:12:49, time: 0.697, data_time: 0.010, memory: 9361, decode.loss_ce: 0.7810, decode.acc_seg: 72.6996, aux.loss_ce: 0.4065, aux.acc_seg: 67.6732, loss: 1.1874 2024-03-04 10:43:13,491 - mmseg - INFO - Iter [3350/160000] lr: 3.372e-05, eta: 1 day, 8:10:34, time: 0.698, data_time: 0.010, memory: 9361, decode.loss_ce: 0.7843, decode.acc_seg: 73.3370, aux.loss_ce: 0.4056, aux.acc_seg: 68.0994, loss: 1.1899 2024-03-04 10:43:48,253 - mmseg - INFO - Iter [3400/160000] lr: 3.371e-05, eta: 1 day, 8:08:15, time: 0.695, data_time: 0.009, memory: 9361, decode.loss_ce: 0.7774, decode.acc_seg: 73.1423, aux.loss_ce: 0.3943, aux.acc_seg: 69.0774, loss: 1.1717 2024-03-04 10:44:23,101 - mmseg - INFO - Iter [3450/160000] lr: 3.370e-05, eta: 1 day, 8:06:04, time: 0.697, data_time: 0.011, memory: 9361, decode.loss_ce: 0.8314, decode.acc_seg: 71.5537, aux.loss_ce: 0.4277, aux.acc_seg: 66.8045, loss: 1.2591 2024-03-04 10:44:58,078 - mmseg - INFO - Iter [3500/160000] lr: 3.368e-05, eta: 1 day, 8:04:00, time: 0.700, data_time: 0.010, memory: 9361, decode.loss_ce: 0.8200, decode.acc_seg: 72.2231, aux.loss_ce: 0.4177, aux.acc_seg: 67.4877, loss: 1.2377 2024-03-04 10:45:33,000 - mmseg - INFO - Iter [3550/160000] lr: 3.367e-05, eta: 1 day, 8:01:57, time: 0.698, data_time: 0.011, memory: 9361, decode.loss_ce: 0.7889, decode.acc_seg: 72.1979, aux.loss_ce: 0.3956, aux.acc_seg: 68.6452, loss: 1.1845 2024-03-04 10:46:07,952 - mmseg - INFO - Iter [3600/160000] lr: 3.366e-05, eta: 1 day, 7:59:57, time: 0.699, data_time: 0.012, memory: 9361, decode.loss_ce: 0.7980, decode.acc_seg: 72.5560, aux.loss_ce: 0.4086, aux.acc_seg: 67.3538, loss: 1.2066 2024-03-04 10:46:42,674 - mmseg - INFO - Iter [3650/160000] lr: 3.365e-05, eta: 1 day, 7:57:50, time: 0.695, data_time: 0.010, memory: 9361, decode.loss_ce: 0.7711, decode.acc_seg: 72.9948, aux.loss_ce: 0.3929, aux.acc_seg: 68.5570, loss: 1.1640 2024-03-04 10:47:17,642 - mmseg - INFO - Iter [3700/160000] lr: 3.364e-05, eta: 1 day, 7:55:56, time: 0.699, data_time: 0.013, memory: 9361, decode.loss_ce: 0.7807, decode.acc_seg: 72.4644, aux.loss_ce: 0.4124, aux.acc_seg: 67.4430, loss: 1.1931 2024-03-04 10:47:52,498 - mmseg - INFO - Iter [3750/160000] lr: 3.363e-05, eta: 1 day, 7:53:59, time: 0.697, data_time: 0.011, memory: 9361, decode.loss_ce: 0.7590, decode.acc_seg: 73.4651, aux.loss_ce: 0.3926, aux.acc_seg: 69.1303, loss: 1.1517 2024-03-04 10:48:30,395 - mmseg - INFO - Iter [3800/160000] lr: 3.362e-05, eta: 1 day, 7:54:09, time: 0.758, data_time: 0.068, memory: 9361, decode.loss_ce: 0.7485, decode.acc_seg: 73.5981, aux.loss_ce: 0.3908, aux.acc_seg: 68.6074, loss: 1.1393 2024-03-04 10:49:05,063 - mmseg - INFO - Iter [3850/160000] lr: 3.361e-05, eta: 1 day, 7:52:08, time: 0.694, data_time: 0.010, memory: 9361, decode.loss_ce: 0.7230, decode.acc_seg: 73.6738, aux.loss_ce: 0.3793, aux.acc_seg: 68.7074, loss: 1.1023 2024-03-04 10:49:39,973 - mmseg - INFO - Iter [3900/160000] lr: 3.360e-05, eta: 1 day, 7:50:18, time: 0.698, data_time: 0.010, memory: 9361, decode.loss_ce: 0.7766, decode.acc_seg: 73.2886, aux.loss_ce: 0.3992, aux.acc_seg: 68.0741, loss: 1.1758 2024-03-04 10:50:14,808 - mmseg - INFO - Iter [3950/160000] lr: 3.359e-05, eta: 1 day, 7:48:27, time: 0.696, data_time: 0.010, memory: 9361, decode.loss_ce: 0.7344, decode.acc_seg: 74.9140, aux.loss_ce: 0.3816, aux.acc_seg: 69.3773, loss: 1.1160 2024-03-04 10:50:49,565 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 10:50:49,566 - mmseg - INFO - Iter [4000/160000] lr: 3.358e-05, eta: 1 day, 7:46:35, time: 0.695, data_time: 0.010, memory: 9361, decode.loss_ce: 0.7189, decode.acc_seg: 74.5783, aux.loss_ce: 0.3711, aux.acc_seg: 70.1353, loss: 1.0901 2024-03-04 10:51:24,342 - mmseg - INFO - Iter [4050/160000] lr: 3.357e-05, eta: 1 day, 7:44:46, time: 0.696, data_time: 0.011, memory: 9361, decode.loss_ce: 0.7066, decode.acc_seg: 74.9898, aux.loss_ce: 0.3773, aux.acc_seg: 69.4432, loss: 1.0839 2024-03-04 10:51:59,020 - mmseg - INFO - Iter [4100/160000] lr: 3.356e-05, eta: 1 day, 7:42:55, time: 0.694, data_time: 0.010, memory: 9361, decode.loss_ce: 0.7211, decode.acc_seg: 74.5208, aux.loss_ce: 0.3693, aux.acc_seg: 69.8271, loss: 1.0904 2024-03-04 10:52:33,846 - mmseg - INFO - Iter [4150/160000] lr: 3.354e-05, eta: 1 day, 7:41:11, time: 0.697, data_time: 0.008, memory: 9361, decode.loss_ce: 0.7149, decode.acc_seg: 75.1193, aux.loss_ce: 0.3660, aux.acc_seg: 70.5173, loss: 1.0809 2024-03-04 10:53:08,616 - mmseg - INFO - Iter [4200/160000] lr: 3.353e-05, eta: 1 day, 7:39:26, time: 0.695, data_time: 0.009, memory: 9361, decode.loss_ce: 0.7457, decode.acc_seg: 73.9321, aux.loss_ce: 0.3767, aux.acc_seg: 70.0381, loss: 1.1224 2024-03-04 10:53:43,408 - mmseg - INFO - Iter [4250/160000] lr: 3.352e-05, eta: 1 day, 7:37:44, time: 0.696, data_time: 0.009, memory: 9361, decode.loss_ce: 0.7325, decode.acc_seg: 74.4673, aux.loss_ce: 0.3784, aux.acc_seg: 69.9959, loss: 1.1109 2024-03-04 10:54:18,171 - mmseg - INFO - Iter [4300/160000] lr: 3.351e-05, eta: 1 day, 7:36:03, time: 0.695, data_time: 0.009, memory: 9361, decode.loss_ce: 0.7416, decode.acc_seg: 74.5466, aux.loss_ce: 0.3765, aux.acc_seg: 70.1050, loss: 1.1181 2024-03-04 10:54:53,069 - mmseg - INFO - Iter [4350/160000] lr: 3.350e-05, eta: 1 day, 7:34:28, time: 0.698, data_time: 0.008, memory: 9361, decode.loss_ce: 0.7104, decode.acc_seg: 74.5929, aux.loss_ce: 0.3698, aux.acc_seg: 69.6528, loss: 1.0802 2024-03-04 10:55:27,954 - mmseg - INFO - Iter [4400/160000] lr: 3.349e-05, eta: 1 day, 7:32:54, time: 0.698, data_time: 0.010, memory: 9361, decode.loss_ce: 0.7343, decode.acc_seg: 73.9582, aux.loss_ce: 0.3738, aux.acc_seg: 69.4762, loss: 1.1081 2024-03-04 10:56:02,633 - mmseg - INFO - Iter [4450/160000] lr: 3.348e-05, eta: 1 day, 7:31:13, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.7236, decode.acc_seg: 73.6319, aux.loss_ce: 0.3655, aux.acc_seg: 69.7553, loss: 1.0891 2024-03-04 10:56:37,461 - mmseg - INFO - Iter [4500/160000] lr: 3.347e-05, eta: 1 day, 7:29:40, time: 0.697, data_time: 0.014, memory: 9361, decode.loss_ce: 0.7326, decode.acc_seg: 74.2554, aux.loss_ce: 0.3682, aux.acc_seg: 69.7466, loss: 1.1008 2024-03-04 10:57:12,328 - mmseg - INFO - Iter [4550/160000] lr: 3.346e-05, eta: 1 day, 7:28:09, time: 0.697, data_time: 0.011, memory: 9361, decode.loss_ce: 0.6795, decode.acc_seg: 75.1726, aux.loss_ce: 0.3574, aux.acc_seg: 70.2120, loss: 1.0369 2024-03-04 10:57:47,145 - mmseg - INFO - Iter [4600/160000] lr: 3.345e-05, eta: 1 day, 7:26:38, time: 0.696, data_time: 0.012, memory: 9361, decode.loss_ce: 0.7433, decode.acc_seg: 74.1966, aux.loss_ce: 0.3818, aux.acc_seg: 69.2020, loss: 1.1251 2024-03-04 10:58:21,921 - mmseg - INFO - Iter [4650/160000] lr: 3.344e-05, eta: 1 day, 7:25:07, time: 0.696, data_time: 0.011, memory: 9361, decode.loss_ce: 0.7215, decode.acc_seg: 75.0026, aux.loss_ce: 0.3720, aux.acc_seg: 69.9587, loss: 1.0935 2024-03-04 10:58:56,723 - mmseg - INFO - Iter [4700/160000] lr: 3.343e-05, eta: 1 day, 7:23:37, time: 0.696, data_time: 0.012, memory: 9361, decode.loss_ce: 0.7267, decode.acc_seg: 74.3361, aux.loss_ce: 0.3694, aux.acc_seg: 69.9686, loss: 1.0961 2024-03-04 10:59:31,612 - mmseg - INFO - Iter [4750/160000] lr: 3.342e-05, eta: 1 day, 7:22:12, time: 0.698, data_time: 0.014, memory: 9361, decode.loss_ce: 0.6992, decode.acc_seg: 75.5666, aux.loss_ce: 0.3599, aux.acc_seg: 70.4042, loss: 1.0591 2024-03-04 11:00:06,463 - mmseg - INFO - Iter [4800/160000] lr: 3.340e-05, eta: 1 day, 7:20:46, time: 0.697, data_time: 0.010, memory: 9361, decode.loss_ce: 0.7286, decode.acc_seg: 73.9753, aux.loss_ce: 0.3674, aux.acc_seg: 69.3803, loss: 1.0960 2024-03-04 11:00:41,115 - mmseg - INFO - Iter [4850/160000] lr: 3.339e-05, eta: 1 day, 7:19:16, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.7050, decode.acc_seg: 75.1462, aux.loss_ce: 0.3574, aux.acc_seg: 70.5264, loss: 1.0624 2024-03-04 11:01:15,903 - mmseg - INFO - Iter [4900/160000] lr: 3.338e-05, eta: 1 day, 7:17:50, time: 0.696, data_time: 0.011, memory: 9361, decode.loss_ce: 0.7191, decode.acc_seg: 74.1645, aux.loss_ce: 0.3654, aux.acc_seg: 69.3095, loss: 1.0844 2024-03-04 11:01:50,607 - mmseg - INFO - Iter [4950/160000] lr: 3.337e-05, eta: 1 day, 7:16:23, time: 0.694, data_time: 0.009, memory: 9361, decode.loss_ce: 0.6914, decode.acc_seg: 74.8863, aux.loss_ce: 0.3524, aux.acc_seg: 70.6528, loss: 1.0438 2024-03-04 11:02:25,363 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 11:02:25,363 - mmseg - INFO - Iter [5000/160000] lr: 3.336e-05, eta: 1 day, 7:14:58, time: 0.695, data_time: 0.010, memory: 9361, decode.loss_ce: 0.7394, decode.acc_seg: 74.2806, aux.loss_ce: 0.3749, aux.acc_seg: 69.4015, loss: 1.1143 2024-03-04 11:03:00,194 - mmseg - INFO - Iter [5050/160000] lr: 3.335e-05, eta: 1 day, 7:13:38, time: 0.697, data_time: 0.010, memory: 9361, decode.loss_ce: 0.7071, decode.acc_seg: 74.8643, aux.loss_ce: 0.3554, aux.acc_seg: 70.9980, loss: 1.0625 2024-03-04 11:03:38,055 - mmseg - INFO - Iter [5100/160000] lr: 3.334e-05, eta: 1 day, 7:13:50, time: 0.757, data_time: 0.069, memory: 9361, decode.loss_ce: 0.6785, decode.acc_seg: 74.9351, aux.loss_ce: 0.3436, aux.acc_seg: 70.9864, loss: 1.0221 2024-03-04 11:04:12,872 - mmseg - INFO - Iter [5150/160000] lr: 3.333e-05, eta: 1 day, 7:12:29, time: 0.696, data_time: 0.012, memory: 9361, decode.loss_ce: 0.6600, decode.acc_seg: 75.6677, aux.loss_ce: 0.3405, aux.acc_seg: 70.6079, loss: 1.0005 2024-03-04 11:04:47,379 - mmseg - INFO - Iter [5200/160000] lr: 3.332e-05, eta: 1 day, 7:11:00, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.6644, decode.acc_seg: 76.5459, aux.loss_ce: 0.3467, aux.acc_seg: 71.2310, loss: 1.0111 2024-03-04 11:05:22,039 - mmseg - INFO - Iter [5250/160000] lr: 3.331e-05, eta: 1 day, 7:09:37, time: 0.693, data_time: 0.010, memory: 9361, decode.loss_ce: 0.6703, decode.acc_seg: 75.9202, aux.loss_ce: 0.3447, aux.acc_seg: 71.1901, loss: 1.0149 2024-03-04 11:05:56,784 - mmseg - INFO - Iter [5300/160000] lr: 3.330e-05, eta: 1 day, 7:08:17, time: 0.695, data_time: 0.014, memory: 9361, decode.loss_ce: 0.6733, decode.acc_seg: 75.2426, aux.loss_ce: 0.3488, aux.acc_seg: 70.6437, loss: 1.0221 2024-03-04 11:06:31,545 - mmseg - INFO - Iter [5350/160000] lr: 3.329e-05, eta: 1 day, 7:06:57, time: 0.695, data_time: 0.010, memory: 9361, decode.loss_ce: 0.6669, decode.acc_seg: 76.2856, aux.loss_ce: 0.3336, aux.acc_seg: 72.4177, loss: 1.0005 2024-03-04 11:07:06,487 - mmseg - INFO - Iter [5400/160000] lr: 3.328e-05, eta: 1 day, 7:05:45, time: 0.699, data_time: 0.010, memory: 9361, decode.loss_ce: 0.6924, decode.acc_seg: 75.0102, aux.loss_ce: 0.3601, aux.acc_seg: 69.6778, loss: 1.0525 2024-03-04 11:07:41,233 - mmseg - INFO - Iter [5450/160000] lr: 3.326e-05, eta: 1 day, 7:04:28, time: 0.695, data_time: 0.013, memory: 9361, decode.loss_ce: 0.6523, decode.acc_seg: 76.1573, aux.loss_ce: 0.3389, aux.acc_seg: 71.6041, loss: 0.9912 2024-03-04 11:08:15,872 - mmseg - INFO - Iter [5500/160000] lr: 3.325e-05, eta: 1 day, 7:03:08, time: 0.693, data_time: 0.008, memory: 9361, decode.loss_ce: 0.6908, decode.acc_seg: 75.4415, aux.loss_ce: 0.3502, aux.acc_seg: 71.0534, loss: 1.0410 2024-03-04 11:08:50,699 - mmseg - INFO - Iter [5550/160000] lr: 3.324e-05, eta: 1 day, 7:01:54, time: 0.697, data_time: 0.012, memory: 9361, decode.loss_ce: 0.6462, decode.acc_seg: 76.0852, aux.loss_ce: 0.3370, aux.acc_seg: 71.0232, loss: 0.9832 2024-03-04 11:09:25,278 - mmseg - INFO - Iter [5600/160000] lr: 3.323e-05, eta: 1 day, 7:00:34, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.6713, decode.acc_seg: 75.8972, aux.loss_ce: 0.3448, aux.acc_seg: 71.8273, loss: 1.0162 2024-03-04 11:10:00,091 - mmseg - INFO - Iter [5650/160000] lr: 3.322e-05, eta: 1 day, 6:59:21, time: 0.696, data_time: 0.012, memory: 9361, decode.loss_ce: 0.6764, decode.acc_seg: 75.4588, aux.loss_ce: 0.3385, aux.acc_seg: 71.5245, loss: 1.0149 2024-03-04 11:10:34,807 - mmseg - INFO - Iter [5700/160000] lr: 3.321e-05, eta: 1 day, 6:58:07, time: 0.694, data_time: 0.009, memory: 9361, decode.loss_ce: 0.6885, decode.acc_seg: 75.2917, aux.loss_ce: 0.3441, aux.acc_seg: 71.0081, loss: 1.0326 2024-03-04 11:11:09,525 - mmseg - INFO - Iter [5750/160000] lr: 3.320e-05, eta: 1 day, 6:56:53, time: 0.694, data_time: 0.011, memory: 9361, decode.loss_ce: 0.7199, decode.acc_seg: 74.1466, aux.loss_ce: 0.3624, aux.acc_seg: 69.8104, loss: 1.0823 2024-03-04 11:11:43,997 - mmseg - INFO - Iter [5800/160000] lr: 3.319e-05, eta: 1 day, 6:55:33, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.7015, decode.acc_seg: 75.4218, aux.loss_ce: 0.3445, aux.acc_seg: 71.5013, loss: 1.0460 2024-03-04 11:12:18,599 - mmseg - INFO - Iter [5850/160000] lr: 3.318e-05, eta: 1 day, 6:54:17, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.6330, decode.acc_seg: 76.2841, aux.loss_ce: 0.3230, aux.acc_seg: 72.0679, loss: 0.9559 2024-03-04 11:12:53,328 - mmseg - INFO - Iter [5900/160000] lr: 3.317e-05, eta: 1 day, 6:53:06, time: 0.695, data_time: 0.011, memory: 9361, decode.loss_ce: 0.6835, decode.acc_seg: 75.2144, aux.loss_ce: 0.3417, aux.acc_seg: 71.2963, loss: 1.0252 2024-03-04 11:13:28,141 - mmseg - INFO - Iter [5950/160000] lr: 3.316e-05, eta: 1 day, 6:51:57, time: 0.696, data_time: 0.013, memory: 9361, decode.loss_ce: 0.6648, decode.acc_seg: 75.5636, aux.loss_ce: 0.3323, aux.acc_seg: 71.5285, loss: 0.9972 2024-03-04 11:14:02,912 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 11:14:02,912 - mmseg - INFO - Iter [6000/160000] lr: 3.315e-05, eta: 1 day, 6:50:48, time: 0.695, data_time: 0.013, memory: 9361, decode.loss_ce: 0.6770, decode.acc_seg: 75.7150, aux.loss_ce: 0.3343, aux.acc_seg: 71.8191, loss: 1.0113 2024-03-04 11:14:37,737 - mmseg - INFO - Iter [6050/160000] lr: 3.314e-05, eta: 1 day, 6:49:40, time: 0.696, data_time: 0.015, memory: 9361, decode.loss_ce: 0.6551, decode.acc_seg: 75.8287, aux.loss_ce: 0.3273, aux.acc_seg: 71.8742, loss: 0.9824 2024-03-04 11:15:12,443 - mmseg - INFO - Iter [6100/160000] lr: 3.312e-05, eta: 1 day, 6:48:31, time: 0.694, data_time: 0.013, memory: 9361, decode.loss_ce: 0.6867, decode.acc_seg: 75.0760, aux.loss_ce: 0.3398, aux.acc_seg: 71.0190, loss: 1.0265 2024-03-04 11:15:47,042 - mmseg - INFO - Iter [6150/160000] lr: 3.311e-05, eta: 1 day, 6:47:19, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.6381, decode.acc_seg: 76.6515, aux.loss_ce: 0.3232, aux.acc_seg: 72.2874, loss: 0.9612 2024-03-04 11:16:21,901 - mmseg - INFO - Iter [6200/160000] lr: 3.310e-05, eta: 1 day, 6:46:14, time: 0.697, data_time: 0.011, memory: 9361, decode.loss_ce: 0.6540, decode.acc_seg: 76.0847, aux.loss_ce: 0.3321, aux.acc_seg: 71.5565, loss: 0.9861 2024-03-04 11:16:56,434 - mmseg - INFO - Iter [6250/160000] lr: 3.309e-05, eta: 1 day, 6:45:01, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.6694, decode.acc_seg: 75.3926, aux.loss_ce: 0.3279, aux.acc_seg: 71.8020, loss: 0.9973 2024-03-04 11:17:30,946 - mmseg - INFO - Iter [6300/160000] lr: 3.308e-05, eta: 1 day, 6:43:49, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.6309, decode.acc_seg: 76.4232, aux.loss_ce: 0.3144, aux.acc_seg: 72.6061, loss: 0.9453 2024-03-04 11:18:08,601 - mmseg - INFO - Iter [6350/160000] lr: 3.307e-05, eta: 1 day, 6:43:53, time: 0.753, data_time: 0.066, memory: 9361, decode.loss_ce: 0.6525, decode.acc_seg: 75.6549, aux.loss_ce: 0.3343, aux.acc_seg: 71.4668, loss: 0.9868 2024-03-04 11:18:43,265 - mmseg - INFO - Iter [6400/160000] lr: 3.306e-05, eta: 1 day, 6:42:45, time: 0.693, data_time: 0.012, memory: 9361, decode.loss_ce: 0.6401, decode.acc_seg: 77.2973, aux.loss_ce: 0.3342, aux.acc_seg: 72.4320, loss: 0.9744 2024-03-04 11:19:18,051 - mmseg - INFO - Iter [6450/160000] lr: 3.305e-05, eta: 1 day, 6:41:40, time: 0.696, data_time: 0.010, memory: 9361, decode.loss_ce: 0.6380, decode.acc_seg: 76.2677, aux.loss_ce: 0.3289, aux.acc_seg: 71.9725, loss: 0.9668 2024-03-04 11:19:52,593 - mmseg - INFO - Iter [6500/160000] lr: 3.304e-05, eta: 1 day, 6:40:31, time: 0.691, data_time: 0.011, memory: 9361, decode.loss_ce: 0.6520, decode.acc_seg: 75.5255, aux.loss_ce: 0.3300, aux.acc_seg: 71.4320, loss: 0.9820 2024-03-04 11:20:27,346 - mmseg - INFO - Iter [6550/160000] lr: 3.303e-05, eta: 1 day, 6:39:26, time: 0.695, data_time: 0.010, memory: 9361, decode.loss_ce: 0.6439, decode.acc_seg: 76.6277, aux.loss_ce: 0.3242, aux.acc_seg: 72.6643, loss: 0.9681 2024-03-04 11:21:02,018 - mmseg - INFO - Iter [6600/160000] lr: 3.302e-05, eta: 1 day, 6:38:20, time: 0.693, data_time: 0.011, memory: 9361, decode.loss_ce: 0.6255, decode.acc_seg: 77.3363, aux.loss_ce: 0.3141, aux.acc_seg: 73.5258, loss: 0.9396 2024-03-04 11:21:36,697 - mmseg - INFO - Iter [6650/160000] lr: 3.301e-05, eta: 1 day, 6:37:15, time: 0.694, data_time: 0.011, memory: 9361, decode.loss_ce: 0.6291, decode.acc_seg: 77.2642, aux.loss_ce: 0.3236, aux.acc_seg: 72.7695, loss: 0.9528 2024-03-04 11:22:11,014 - mmseg - INFO - Iter [6700/160000] lr: 3.300e-05, eta: 1 day, 6:36:02, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.6420, decode.acc_seg: 76.6609, aux.loss_ce: 0.3248, aux.acc_seg: 72.3218, loss: 0.9668 2024-03-04 11:22:45,424 - mmseg - INFO - Iter [6750/160000] lr: 3.298e-05, eta: 1 day, 6:34:51, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.6332, decode.acc_seg: 75.9248, aux.loss_ce: 0.3201, aux.acc_seg: 71.5698, loss: 0.9533 2024-03-04 11:23:20,096 - mmseg - INFO - Iter [6800/160000] lr: 3.297e-05, eta: 1 day, 6:33:47, time: 0.693, data_time: 0.010, memory: 9361, decode.loss_ce: 0.6050, decode.acc_seg: 77.9254, aux.loss_ce: 0.3051, aux.acc_seg: 73.7652, loss: 0.9101 2024-03-04 11:23:54,551 - mmseg - INFO - Iter [6850/160000] lr: 3.296e-05, eta: 1 day, 6:32:39, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.6009, decode.acc_seg: 77.4435, aux.loss_ce: 0.3035, aux.acc_seg: 73.7422, loss: 0.9045 2024-03-04 11:24:29,085 - mmseg - INFO - Iter [6900/160000] lr: 3.295e-05, eta: 1 day, 6:31:32, time: 0.691, data_time: 0.012, memory: 9361, decode.loss_ce: 0.6668, decode.acc_seg: 75.3873, aux.loss_ce: 0.3316, aux.acc_seg: 71.2585, loss: 0.9984 2024-03-04 11:25:03,711 - mmseg - INFO - Iter [6950/160000] lr: 3.294e-05, eta: 1 day, 6:30:29, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.6226, decode.acc_seg: 76.3904, aux.loss_ce: 0.3160, aux.acc_seg: 72.2701, loss: 0.9387 2024-03-04 11:25:38,734 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 11:25:38,735 - mmseg - INFO - Iter [7000/160000] lr: 3.293e-05, eta: 1 day, 6:29:34, time: 0.700, data_time: 0.015, memory: 9361, decode.loss_ce: 0.6556, decode.acc_seg: 76.0265, aux.loss_ce: 0.3297, aux.acc_seg: 71.6249, loss: 0.9854 2024-03-04 11:26:13,200 - mmseg - INFO - Iter [7050/160000] lr: 3.292e-05, eta: 1 day, 6:28:28, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.6356, decode.acc_seg: 76.4829, aux.loss_ce: 0.3167, aux.acc_seg: 72.5426, loss: 0.9523 2024-03-04 11:26:47,855 - mmseg - INFO - Iter [7100/160000] lr: 3.291e-05, eta: 1 day, 6:27:26, time: 0.693, data_time: 0.014, memory: 9361, decode.loss_ce: 0.5958, decode.acc_seg: 77.5762, aux.loss_ce: 0.3007, aux.acc_seg: 73.2327, loss: 0.8965 2024-03-04 11:27:22,405 - mmseg - INFO - Iter [7150/160000] lr: 3.290e-05, eta: 1 day, 6:26:22, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.6101, decode.acc_seg: 76.9679, aux.loss_ce: 0.3043, aux.acc_seg: 73.4083, loss: 0.9144 2024-03-04 11:27:57,091 - mmseg - INFO - Iter [7200/160000] lr: 3.289e-05, eta: 1 day, 6:25:22, time: 0.694, data_time: 0.010, memory: 9361, decode.loss_ce: 0.6201, decode.acc_seg: 76.5417, aux.loss_ce: 0.3118, aux.acc_seg: 72.6624, loss: 0.9319 2024-03-04 11:28:32,081 - mmseg - INFO - Iter [7250/160000] lr: 3.288e-05, eta: 1 day, 6:24:28, time: 0.700, data_time: 0.013, memory: 9361, decode.loss_ce: 0.6348, decode.acc_seg: 76.2508, aux.loss_ce: 0.3135, aux.acc_seg: 72.3595, loss: 0.9483 2024-03-04 11:29:06,887 - mmseg - INFO - Iter [7300/160000] lr: 3.287e-05, eta: 1 day, 6:23:30, time: 0.696, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5906, decode.acc_seg: 78.3532, aux.loss_ce: 0.2991, aux.acc_seg: 74.7050, loss: 0.8897 2024-03-04 11:29:41,671 - mmseg - INFO - Iter [7350/160000] lr: 3.286e-05, eta: 1 day, 6:22:33, time: 0.696, data_time: 0.013, memory: 9361, decode.loss_ce: 0.6212, decode.acc_seg: 77.6803, aux.loss_ce: 0.3196, aux.acc_seg: 72.9150, loss: 0.9408 2024-03-04 11:30:16,475 - mmseg - INFO - Iter [7400/160000] lr: 3.284e-05, eta: 1 day, 6:21:36, time: 0.696, data_time: 0.012, memory: 9361, decode.loss_ce: 0.6513, decode.acc_seg: 76.6454, aux.loss_ce: 0.3189, aux.acc_seg: 72.7549, loss: 0.9702 2024-03-04 11:30:51,370 - mmseg - INFO - Iter [7450/160000] lr: 3.283e-05, eta: 1 day, 6:20:42, time: 0.698, data_time: 0.013, memory: 9361, decode.loss_ce: 0.6780, decode.acc_seg: 75.9888, aux.loss_ce: 0.3324, aux.acc_seg: 72.2832, loss: 1.0104 2024-03-04 11:31:26,074 - mmseg - INFO - Iter [7500/160000] lr: 3.282e-05, eta: 1 day, 6:19:43, time: 0.694, data_time: 0.011, memory: 9361, decode.loss_ce: 0.6537, decode.acc_seg: 76.3281, aux.loss_ce: 0.3177, aux.acc_seg: 72.8159, loss: 0.9714 2024-03-04 11:32:00,924 - mmseg - INFO - Iter [7550/160000] lr: 3.281e-05, eta: 1 day, 6:18:49, time: 0.697, data_time: 0.011, memory: 9361, decode.loss_ce: 0.6556, decode.acc_seg: 75.8030, aux.loss_ce: 0.3233, aux.acc_seg: 71.8474, loss: 0.9789 2024-03-04 11:32:38,712 - mmseg - INFO - Iter [7600/160000] lr: 3.280e-05, eta: 1 day, 6:18:52, time: 0.755, data_time: 0.066, memory: 9361, decode.loss_ce: 0.5995, decode.acc_seg: 77.4755, aux.loss_ce: 0.3017, aux.acc_seg: 73.4533, loss: 0.9011 2024-03-04 11:33:13,328 - mmseg - INFO - Iter [7650/160000] lr: 3.279e-05, eta: 1 day, 6:17:53, time: 0.693, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5713, decode.acc_seg: 78.7289, aux.loss_ce: 0.2972, aux.acc_seg: 74.4071, loss: 0.8685 2024-03-04 11:33:48,069 - mmseg - INFO - Iter [7700/160000] lr: 3.278e-05, eta: 1 day, 6:16:57, time: 0.695, data_time: 0.012, memory: 9361, decode.loss_ce: 0.5924, decode.acc_seg: 78.0579, aux.loss_ce: 0.2952, aux.acc_seg: 74.5069, loss: 0.8877 2024-03-04 11:34:22,745 - mmseg - INFO - Iter [7750/160000] lr: 3.277e-05, eta: 1 day, 6:15:59, time: 0.694, data_time: 0.015, memory: 9361, decode.loss_ce: 0.6325, decode.acc_seg: 76.6507, aux.loss_ce: 0.3288, aux.acc_seg: 71.9821, loss: 0.9613 2024-03-04 11:34:57,333 - mmseg - INFO - Iter [7800/160000] lr: 3.276e-05, eta: 1 day, 6:15:00, time: 0.692, data_time: 0.013, memory: 9361, decode.loss_ce: 0.5837, decode.acc_seg: 77.7697, aux.loss_ce: 0.3047, aux.acc_seg: 73.4156, loss: 0.8883 2024-03-04 11:35:31,754 - mmseg - INFO - Iter [7850/160000] lr: 3.275e-05, eta: 1 day, 6:13:58, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5880, decode.acc_seg: 77.9516, aux.loss_ce: 0.2959, aux.acc_seg: 73.6782, loss: 0.8838 2024-03-04 11:36:06,558 - mmseg - INFO - Iter [7900/160000] lr: 3.274e-05, eta: 1 day, 6:13:03, time: 0.696, data_time: 0.010, memory: 9361, decode.loss_ce: 0.6107, decode.acc_seg: 77.4832, aux.loss_ce: 0.3127, aux.acc_seg: 72.9120, loss: 0.9234 2024-03-04 11:36:41,253 - mmseg - INFO - Iter [7950/160000] lr: 3.273e-05, eta: 1 day, 6:12:07, time: 0.694, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5617, decode.acc_seg: 78.8199, aux.loss_ce: 0.2876, aux.acc_seg: 74.5979, loss: 0.8493 2024-03-04 11:37:15,918 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 11:37:15,918 - mmseg - INFO - Iter [8000/160000] lr: 3.272e-05, eta: 1 day, 6:11:11, time: 0.693, data_time: 0.012, memory: 9361, decode.loss_ce: 0.5750, decode.acc_seg: 77.6096, aux.loss_ce: 0.2879, aux.acc_seg: 73.6204, loss: 0.8629 2024-03-04 11:37:50,608 - mmseg - INFO - Iter [8050/160000] lr: 3.270e-05, eta: 1 day, 6:10:15, time: 0.694, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5827, decode.acc_seg: 78.5115, aux.loss_ce: 0.2982, aux.acc_seg: 74.4696, loss: 0.8809 2024-03-04 11:38:25,377 - mmseg - INFO - Iter [8100/160000] lr: 3.269e-05, eta: 1 day, 6:09:21, time: 0.695, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5682, decode.acc_seg: 78.4459, aux.loss_ce: 0.2970, aux.acc_seg: 74.1019, loss: 0.8652 2024-03-04 11:38:59,824 - mmseg - INFO - Iter [8150/160000] lr: 3.268e-05, eta: 1 day, 6:08:21, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5742, decode.acc_seg: 78.4559, aux.loss_ce: 0.2991, aux.acc_seg: 74.2169, loss: 0.8733 2024-03-04 11:39:34,711 - mmseg - INFO - Iter [8200/160000] lr: 3.267e-05, eta: 1 day, 6:07:30, time: 0.698, data_time: 0.015, memory: 9361, decode.loss_ce: 0.5745, decode.acc_seg: 78.9341, aux.loss_ce: 0.2880, aux.acc_seg: 74.9993, loss: 0.8625 2024-03-04 11:40:09,329 - mmseg - INFO - Iter [8250/160000] lr: 3.266e-05, eta: 1 day, 6:06:34, time: 0.692, data_time: 0.011, memory: 9361, decode.loss_ce: 0.5794, decode.acc_seg: 78.5195, aux.loss_ce: 0.2964, aux.acc_seg: 74.0961, loss: 0.8758 2024-03-04 11:40:43,900 - mmseg - INFO - Iter [8300/160000] lr: 3.265e-05, eta: 1 day, 6:05:37, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.6139, decode.acc_seg: 77.5158, aux.loss_ce: 0.3167, aux.acc_seg: 72.7009, loss: 0.9306 2024-03-04 11:41:18,355 - mmseg - INFO - Iter [8350/160000] lr: 3.264e-05, eta: 1 day, 6:04:39, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.6024, decode.acc_seg: 77.1024, aux.loss_ce: 0.2999, aux.acc_seg: 73.5042, loss: 0.9023 2024-03-04 11:41:53,027 - mmseg - INFO - Iter [8400/160000] lr: 3.263e-05, eta: 1 day, 6:03:45, time: 0.693, data_time: 0.012, memory: 9361, decode.loss_ce: 0.5900, decode.acc_seg: 78.3228, aux.loss_ce: 0.2961, aux.acc_seg: 74.6661, loss: 0.8861 2024-03-04 11:42:27,754 - mmseg - INFO - Iter [8450/160000] lr: 3.262e-05, eta: 1 day, 6:02:52, time: 0.695, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5968, decode.acc_seg: 78.0197, aux.loss_ce: 0.2946, aux.acc_seg: 74.3535, loss: 0.8914 2024-03-04 11:43:02,293 - mmseg - INFO - Iter [8500/160000] lr: 3.261e-05, eta: 1 day, 6:01:56, time: 0.691, data_time: 0.011, memory: 9361, decode.loss_ce: 0.6155, decode.acc_seg: 77.1626, aux.loss_ce: 0.2993, aux.acc_seg: 74.1423, loss: 0.9148 2024-03-04 11:43:36,926 - mmseg - INFO - Iter [8550/160000] lr: 3.260e-05, eta: 1 day, 6:01:01, time: 0.693, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5603, decode.acc_seg: 78.2926, aux.loss_ce: 0.2812, aux.acc_seg: 74.8449, loss: 0.8414 2024-03-04 11:44:11,283 - mmseg - INFO - Iter [8600/160000] lr: 3.259e-05, eta: 1 day, 6:00:02, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.5902, decode.acc_seg: 77.8325, aux.loss_ce: 0.2967, aux.acc_seg: 73.9530, loss: 0.8869 2024-03-04 11:44:45,700 - mmseg - INFO - Iter [8650/160000] lr: 3.258e-05, eta: 1 day, 5:59:05, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.6093, decode.acc_seg: 77.4521, aux.loss_ce: 0.3025, aux.acc_seg: 73.6045, loss: 0.9117 2024-03-04 11:45:20,216 - mmseg - INFO - Iter [8700/160000] lr: 3.257e-05, eta: 1 day, 5:58:09, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.6065, decode.acc_seg: 77.6804, aux.loss_ce: 0.3026, aux.acc_seg: 73.5931, loss: 0.9091 2024-03-04 11:45:54,737 - mmseg - INFO - Iter [8750/160000] lr: 3.255e-05, eta: 1 day, 5:57:14, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.6036, decode.acc_seg: 76.8767, aux.loss_ce: 0.3007, aux.acc_seg: 73.4337, loss: 0.9042 2024-03-04 11:46:29,212 - mmseg - INFO - Iter [8800/160000] lr: 3.254e-05, eta: 1 day, 5:56:18, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5724, decode.acc_seg: 77.8945, aux.loss_ce: 0.2871, aux.acc_seg: 73.9075, loss: 0.8595 2024-03-04 11:47:06,792 - mmseg - INFO - Iter [8850/160000] lr: 3.253e-05, eta: 1 day, 5:56:16, time: 0.752, data_time: 0.066, memory: 9361, decode.loss_ce: 0.5827, decode.acc_seg: 78.6251, aux.loss_ce: 0.3015, aux.acc_seg: 74.3593, loss: 0.8842 2024-03-04 11:47:41,246 - mmseg - INFO - Iter [8900/160000] lr: 3.252e-05, eta: 1 day, 5:55:20, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5491, decode.acc_seg: 79.4241, aux.loss_ce: 0.2864, aux.acc_seg: 74.9977, loss: 0.8355 2024-03-04 11:48:15,728 - mmseg - INFO - Iter [8950/160000] lr: 3.251e-05, eta: 1 day, 5:54:24, time: 0.690, data_time: 0.012, memory: 9361, decode.loss_ce: 0.5329, decode.acc_seg: 79.6682, aux.loss_ce: 0.2745, aux.acc_seg: 75.5893, loss: 0.8073 2024-03-04 11:48:50,106 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 11:48:50,107 - mmseg - INFO - Iter [9000/160000] lr: 3.250e-05, eta: 1 day, 5:53:28, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.5496, decode.acc_seg: 79.3204, aux.loss_ce: 0.2796, aux.acc_seg: 75.5085, loss: 0.8291 2024-03-04 11:49:24,719 - mmseg - INFO - Iter [9050/160000] lr: 3.249e-05, eta: 1 day, 5:52:35, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5696, decode.acc_seg: 78.8589, aux.loss_ce: 0.2989, aux.acc_seg: 74.1664, loss: 0.8685 2024-03-04 11:49:59,168 - mmseg - INFO - Iter [9100/160000] lr: 3.248e-05, eta: 1 day, 5:51:40, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.5684, decode.acc_seg: 78.4671, aux.loss_ce: 0.2878, aux.acc_seg: 74.5657, loss: 0.8561 2024-03-04 11:50:33,869 - mmseg - INFO - Iter [9150/160000] lr: 3.247e-05, eta: 1 day, 5:50:49, time: 0.694, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5538, decode.acc_seg: 78.8450, aux.loss_ce: 0.2926, aux.acc_seg: 74.0984, loss: 0.8464 2024-03-04 11:51:08,220 - mmseg - INFO - Iter [9200/160000] lr: 3.246e-05, eta: 1 day, 5:49:53, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.5843, decode.acc_seg: 78.0687, aux.loss_ce: 0.2959, aux.acc_seg: 74.1595, loss: 0.8802 2024-03-04 11:51:42,549 - mmseg - INFO - Iter [9250/160000] lr: 3.245e-05, eta: 1 day, 5:48:56, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.5836, decode.acc_seg: 78.7133, aux.loss_ce: 0.3019, aux.acc_seg: 73.5937, loss: 0.8855 2024-03-04 11:52:17,110 - mmseg - INFO - Iter [9300/160000] lr: 3.244e-05, eta: 1 day, 5:48:03, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.5504, decode.acc_seg: 79.4235, aux.loss_ce: 0.2758, aux.acc_seg: 75.4597, loss: 0.8262 2024-03-04 11:52:51,589 - mmseg - INFO - Iter [9350/160000] lr: 3.243e-05, eta: 1 day, 5:47:10, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5631, decode.acc_seg: 78.6018, aux.loss_ce: 0.2832, aux.acc_seg: 75.3010, loss: 0.8463 2024-03-04 11:53:26,077 - mmseg - INFO - Iter [9400/160000] lr: 3.241e-05, eta: 1 day, 5:46:17, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5758, decode.acc_seg: 78.2556, aux.loss_ce: 0.2900, aux.acc_seg: 74.5988, loss: 0.8658 2024-03-04 11:54:00,416 - mmseg - INFO - Iter [9450/160000] lr: 3.240e-05, eta: 1 day, 5:45:21, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.5673, decode.acc_seg: 78.7172, aux.loss_ce: 0.2842, aux.acc_seg: 75.1920, loss: 0.8515 2024-03-04 11:54:34,968 - mmseg - INFO - Iter [9500/160000] lr: 3.239e-05, eta: 1 day, 5:44:30, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5947, decode.acc_seg: 77.3690, aux.loss_ce: 0.2992, aux.acc_seg: 73.8163, loss: 0.8939 2024-03-04 11:55:09,199 - mmseg - INFO - Iter [9550/160000] lr: 3.238e-05, eta: 1 day, 5:43:33, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5882, decode.acc_seg: 77.9838, aux.loss_ce: 0.2955, aux.acc_seg: 73.6540, loss: 0.8837 2024-03-04 11:55:43,530 - mmseg - INFO - Iter [9600/160000] lr: 3.237e-05, eta: 1 day, 5:42:38, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5948, decode.acc_seg: 77.5207, aux.loss_ce: 0.3007, aux.acc_seg: 73.5133, loss: 0.8956 2024-03-04 11:56:18,018 - mmseg - INFO - Iter [9650/160000] lr: 3.236e-05, eta: 1 day, 5:41:46, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5585, decode.acc_seg: 80.0286, aux.loss_ce: 0.2823, aux.acc_seg: 75.5383, loss: 0.8408 2024-03-04 11:56:52,501 - mmseg - INFO - Iter [9700/160000] lr: 3.235e-05, eta: 1 day, 5:40:54, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.5417, decode.acc_seg: 79.5590, aux.loss_ce: 0.2749, aux.acc_seg: 75.3313, loss: 0.8166 2024-03-04 11:57:26,949 - mmseg - INFO - Iter [9750/160000] lr: 3.234e-05, eta: 1 day, 5:40:01, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5298, decode.acc_seg: 79.2942, aux.loss_ce: 0.2674, aux.acc_seg: 75.7436, loss: 0.7972 2024-03-04 11:58:01,489 - mmseg - INFO - Iter [9800/160000] lr: 3.233e-05, eta: 1 day, 5:39:10, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.6041, decode.acc_seg: 77.7296, aux.loss_ce: 0.2964, aux.acc_seg: 74.2312, loss: 0.9005 2024-03-04 11:58:36,044 - mmseg - INFO - Iter [9850/160000] lr: 3.232e-05, eta: 1 day, 5:38:20, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5562, decode.acc_seg: 79.4563, aux.loss_ce: 0.2757, aux.acc_seg: 76.1297, loss: 0.8319 2024-03-04 11:59:10,580 - mmseg - INFO - Iter [9900/160000] lr: 3.231e-05, eta: 1 day, 5:37:29, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.6081, decode.acc_seg: 77.7499, aux.loss_ce: 0.3061, aux.acc_seg: 73.5090, loss: 0.9142 2024-03-04 11:59:45,192 - mmseg - INFO - Iter [9950/160000] lr: 3.230e-05, eta: 1 day, 5:36:40, time: 0.692, data_time: 0.012, memory: 9361, decode.loss_ce: 0.5734, decode.acc_seg: 78.3544, aux.loss_ce: 0.2940, aux.acc_seg: 74.5312, loss: 0.8674 2024-03-04 12:00:19,605 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 12:00:19,606 - mmseg - INFO - Iter [10000/160000] lr: 3.229e-05, eta: 1 day, 5:35:48, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5693, decode.acc_seg: 78.5346, aux.loss_ce: 0.2901, aux.acc_seg: 74.4862, loss: 0.8594 2024-03-04 12:00:54,127 - mmseg - INFO - Iter [10050/160000] lr: 3.227e-05, eta: 1 day, 5:34:57, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5508, decode.acc_seg: 79.3546, aux.loss_ce: 0.2785, aux.acc_seg: 75.2032, loss: 0.8293 2024-03-04 12:01:28,658 - mmseg - INFO - Iter [10100/160000] lr: 3.226e-05, eta: 1 day, 5:34:07, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5558, decode.acc_seg: 78.7966, aux.loss_ce: 0.2783, aux.acc_seg: 75.3216, loss: 0.8342 2024-03-04 12:02:06,197 - mmseg - INFO - Iter [10150/160000] lr: 3.225e-05, eta: 1 day, 5:34:02, time: 0.751, data_time: 0.064, memory: 9361, decode.loss_ce: 0.5039, decode.acc_seg: 81.0800, aux.loss_ce: 0.2622, aux.acc_seg: 76.5968, loss: 0.7660 2024-03-04 12:02:40,637 - mmseg - INFO - Iter [10200/160000] lr: 3.224e-05, eta: 1 day, 5:33:10, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4978, decode.acc_seg: 81.5103, aux.loss_ce: 0.2615, aux.acc_seg: 76.8913, loss: 0.7594 2024-03-04 12:03:15,225 - mmseg - INFO - Iter [10250/160000] lr: 3.223e-05, eta: 1 day, 5:32:21, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5349, decode.acc_seg: 80.2415, aux.loss_ce: 0.2736, aux.acc_seg: 75.9618, loss: 0.8085 2024-03-04 12:03:49,634 - mmseg - INFO - Iter [10300/160000] lr: 3.222e-05, eta: 1 day, 5:31:30, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5381, decode.acc_seg: 79.2531, aux.loss_ce: 0.2739, aux.acc_seg: 75.0694, loss: 0.8120 2024-03-04 12:04:24,051 - mmseg - INFO - Iter [10350/160000] lr: 3.221e-05, eta: 1 day, 5:30:39, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5074, decode.acc_seg: 79.9630, aux.loss_ce: 0.2626, aux.acc_seg: 76.1277, loss: 0.7700 2024-03-04 12:04:58,353 - mmseg - INFO - Iter [10400/160000] lr: 3.220e-05, eta: 1 day, 5:29:46, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5317, decode.acc_seg: 80.4777, aux.loss_ce: 0.2761, aux.acc_seg: 75.9979, loss: 0.8078 2024-03-04 12:05:32,964 - mmseg - INFO - Iter [10450/160000] lr: 3.219e-05, eta: 1 day, 5:28:58, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5168, decode.acc_seg: 80.1426, aux.loss_ce: 0.2639, aux.acc_seg: 75.9006, loss: 0.7807 2024-03-04 12:06:07,344 - mmseg - INFO - Iter [10500/160000] lr: 3.218e-05, eta: 1 day, 5:28:07, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5236, decode.acc_seg: 79.6460, aux.loss_ce: 0.2713, aux.acc_seg: 75.7955, loss: 0.7949 2024-03-04 12:06:41,725 - mmseg - INFO - Iter [10550/160000] lr: 3.217e-05, eta: 1 day, 5:27:16, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5269, decode.acc_seg: 79.8690, aux.loss_ce: 0.2654, aux.acc_seg: 76.2355, loss: 0.7923 2024-03-04 12:07:16,114 - mmseg - INFO - Iter [10600/160000] lr: 3.216e-05, eta: 1 day, 5:26:25, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5782, decode.acc_seg: 78.3021, aux.loss_ce: 0.2892, aux.acc_seg: 74.3283, loss: 0.8673 2024-03-04 12:07:50,591 - mmseg - INFO - Iter [10650/160000] lr: 3.215e-05, eta: 1 day, 5:25:35, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5338, decode.acc_seg: 79.4528, aux.loss_ce: 0.2724, aux.acc_seg: 75.4430, loss: 0.8062 2024-03-04 12:08:25,239 - mmseg - INFO - Iter [10700/160000] lr: 3.213e-05, eta: 1 day, 5:24:49, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5804, decode.acc_seg: 78.3900, aux.loss_ce: 0.2871, aux.acc_seg: 74.8640, loss: 0.8675 2024-03-04 12:08:59,456 - mmseg - INFO - Iter [10750/160000] lr: 3.212e-05, eta: 1 day, 5:23:56, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5566, decode.acc_seg: 79.4884, aux.loss_ce: 0.2835, aux.acc_seg: 75.3120, loss: 0.8401 2024-03-04 12:09:33,864 - mmseg - INFO - Iter [10800/160000] lr: 3.211e-05, eta: 1 day, 5:23:06, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5507, decode.acc_seg: 78.9599, aux.loss_ce: 0.2738, aux.acc_seg: 75.4399, loss: 0.8244 2024-03-04 12:10:08,481 - mmseg - INFO - Iter [10850/160000] lr: 3.210e-05, eta: 1 day, 5:22:19, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5455, decode.acc_seg: 79.2975, aux.loss_ce: 0.2708, aux.acc_seg: 75.8971, loss: 0.8164 2024-03-04 12:10:42,872 - mmseg - INFO - Iter [10900/160000] lr: 3.209e-05, eta: 1 day, 5:21:29, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5705, decode.acc_seg: 79.1136, aux.loss_ce: 0.2908, aux.acc_seg: 74.8813, loss: 0.8613 2024-03-04 12:11:17,445 - mmseg - INFO - Iter [10950/160000] lr: 3.208e-05, eta: 1 day, 5:20:42, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5707, decode.acc_seg: 78.4165, aux.loss_ce: 0.2867, aux.acc_seg: 74.5455, loss: 0.8574 2024-03-04 12:11:52,012 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 12:11:52,013 - mmseg - INFO - Iter [11000/160000] lr: 3.207e-05, eta: 1 day, 5:19:55, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5510, decode.acc_seg: 78.5581, aux.loss_ce: 0.2724, aux.acc_seg: 75.1512, loss: 0.8234 2024-03-04 12:12:26,377 - mmseg - INFO - Iter [11050/160000] lr: 3.206e-05, eta: 1 day, 5:19:05, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5322, decode.acc_seg: 79.4060, aux.loss_ce: 0.2740, aux.acc_seg: 75.2506, loss: 0.8062 2024-03-04 12:13:00,783 - mmseg - INFO - Iter [11100/160000] lr: 3.205e-05, eta: 1 day, 5:18:16, time: 0.688, data_time: 0.011, memory: 9361, decode.loss_ce: 0.5458, decode.acc_seg: 79.4900, aux.loss_ce: 0.2765, aux.acc_seg: 75.5384, loss: 0.8222 2024-03-04 12:13:35,338 - mmseg - INFO - Iter [11150/160000] lr: 3.204e-05, eta: 1 day, 5:17:29, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5724, decode.acc_seg: 78.1886, aux.loss_ce: 0.2861, aux.acc_seg: 74.6476, loss: 0.8585 2024-03-04 12:14:09,824 - mmseg - INFO - Iter [11200/160000] lr: 3.203e-05, eta: 1 day, 5:16:41, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5433, decode.acc_seg: 79.9266, aux.loss_ce: 0.2782, aux.acc_seg: 75.6984, loss: 0.8215 2024-03-04 12:14:44,156 - mmseg - INFO - Iter [11250/160000] lr: 3.202e-05, eta: 1 day, 5:15:51, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5265, decode.acc_seg: 79.6491, aux.loss_ce: 0.2683, aux.acc_seg: 75.7545, loss: 0.7949 2024-03-04 12:15:18,417 - mmseg - INFO - Iter [11300/160000] lr: 3.201e-05, eta: 1 day, 5:15:00, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5459, decode.acc_seg: 79.1315, aux.loss_ce: 0.2823, aux.acc_seg: 74.7473, loss: 0.8282 2024-03-04 12:15:52,912 - mmseg - INFO - Iter [11350/160000] lr: 3.199e-05, eta: 1 day, 5:14:13, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.5022, decode.acc_seg: 80.9564, aux.loss_ce: 0.2520, aux.acc_seg: 77.1446, loss: 0.7543 2024-03-04 12:16:30,450 - mmseg - INFO - Iter [11400/160000] lr: 3.198e-05, eta: 1 day, 5:14:05, time: 0.751, data_time: 0.064, memory: 9361, decode.loss_ce: 0.5180, decode.acc_seg: 80.4362, aux.loss_ce: 0.2632, aux.acc_seg: 76.2619, loss: 0.7812 2024-03-04 12:17:04,646 - mmseg - INFO - Iter [11450/160000] lr: 3.197e-05, eta: 1 day, 5:13:14, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4727, decode.acc_seg: 81.7607, aux.loss_ce: 0.2485, aux.acc_seg: 77.7167, loss: 0.7212 2024-03-04 12:17:39,007 - mmseg - INFO - Iter [11500/160000] lr: 3.196e-05, eta: 1 day, 5:12:25, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4822, decode.acc_seg: 81.3410, aux.loss_ce: 0.2502, aux.acc_seg: 77.4647, loss: 0.7325 2024-03-04 12:18:13,338 - mmseg - INFO - Iter [11550/160000] lr: 3.195e-05, eta: 1 day, 5:11:36, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.5043, decode.acc_seg: 81.3817, aux.loss_ce: 0.2584, aux.acc_seg: 77.0347, loss: 0.7628 2024-03-04 12:18:47,493 - mmseg - INFO - Iter [11600/160000] lr: 3.194e-05, eta: 1 day, 5:10:45, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5043, decode.acc_seg: 81.0527, aux.loss_ce: 0.2588, aux.acc_seg: 77.1497, loss: 0.7631 2024-03-04 12:19:21,963 - mmseg - INFO - Iter [11650/160000] lr: 3.193e-05, eta: 1 day, 5:09:58, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5051, decode.acc_seg: 80.5594, aux.loss_ce: 0.2662, aux.acc_seg: 76.1604, loss: 0.7713 2024-03-04 12:19:56,571 - mmseg - INFO - Iter [11700/160000] lr: 3.192e-05, eta: 1 day, 5:09:12, time: 0.692, data_time: 0.011, memory: 9361, decode.loss_ce: 0.5467, decode.acc_seg: 79.8359, aux.loss_ce: 0.2781, aux.acc_seg: 75.3323, loss: 0.8248 2024-03-04 12:20:31,188 - mmseg - INFO - Iter [11750/160000] lr: 3.191e-05, eta: 1 day, 5:08:27, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5017, decode.acc_seg: 81.0354, aux.loss_ce: 0.2621, aux.acc_seg: 76.9257, loss: 0.7638 2024-03-04 12:21:05,558 - mmseg - INFO - Iter [11800/160000] lr: 3.190e-05, eta: 1 day, 5:07:39, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5362, decode.acc_seg: 79.5914, aux.loss_ce: 0.2773, aux.acc_seg: 74.7754, loss: 0.8135 2024-03-04 12:21:40,013 - mmseg - INFO - Iter [11850/160000] lr: 3.189e-05, eta: 1 day, 5:06:52, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5147, decode.acc_seg: 80.7185, aux.loss_ce: 0.2622, aux.acc_seg: 76.6177, loss: 0.7769 2024-03-04 12:22:14,356 - mmseg - INFO - Iter [11900/160000] lr: 3.188e-05, eta: 1 day, 5:06:04, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5350, decode.acc_seg: 80.1281, aux.loss_ce: 0.2676, aux.acc_seg: 76.5717, loss: 0.8026 2024-03-04 12:22:48,814 - mmseg - INFO - Iter [11950/160000] lr: 3.187e-05, eta: 1 day, 5:05:17, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4943, decode.acc_seg: 81.1300, aux.loss_ce: 0.2586, aux.acc_seg: 76.8879, loss: 0.7529 2024-03-04 12:23:23,480 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 12:23:23,480 - mmseg - INFO - Iter [12000/160000] lr: 3.185e-05, eta: 1 day, 5:04:33, time: 0.693, data_time: 0.012, memory: 9361, decode.loss_ce: 0.4757, decode.acc_seg: 82.0044, aux.loss_ce: 0.2454, aux.acc_seg: 78.0595, loss: 0.7211 2024-03-04 12:23:57,858 - mmseg - INFO - Iter [12050/160000] lr: 3.184e-05, eta: 1 day, 5:03:46, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.5256, decode.acc_seg: 80.3129, aux.loss_ce: 0.2668, aux.acc_seg: 76.1765, loss: 0.7924 2024-03-04 12:24:32,277 - mmseg - INFO - Iter [12100/160000] lr: 3.183e-05, eta: 1 day, 5:02:59, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.5364, decode.acc_seg: 79.6519, aux.loss_ce: 0.2742, aux.acc_seg: 75.8825, loss: 0.8106 2024-03-04 12:25:06,790 - mmseg - INFO - Iter [12150/160000] lr: 3.182e-05, eta: 1 day, 5:02:13, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4991, decode.acc_seg: 80.6137, aux.loss_ce: 0.2599, aux.acc_seg: 76.4474, loss: 0.7590 2024-03-04 12:25:41,214 - mmseg - INFO - Iter [12200/160000] lr: 3.181e-05, eta: 1 day, 5:01:27, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4845, decode.acc_seg: 81.4036, aux.loss_ce: 0.2478, aux.acc_seg: 77.5020, loss: 0.7323 2024-03-04 12:26:15,443 - mmseg - INFO - Iter [12250/160000] lr: 3.180e-05, eta: 1 day, 5:00:38, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.5180, decode.acc_seg: 80.3131, aux.loss_ce: 0.2610, aux.acc_seg: 76.5788, loss: 0.7790 2024-03-04 12:26:49,842 - mmseg - INFO - Iter [12300/160000] lr: 3.179e-05, eta: 1 day, 4:59:51, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5315, decode.acc_seg: 79.5844, aux.loss_ce: 0.2743, aux.acc_seg: 75.3957, loss: 0.8058 2024-03-04 12:27:24,160 - mmseg - INFO - Iter [12350/160000] lr: 3.178e-05, eta: 1 day, 4:59:04, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5588, decode.acc_seg: 79.2776, aux.loss_ce: 0.2748, aux.acc_seg: 75.4963, loss: 0.8335 2024-03-04 12:27:58,513 - mmseg - INFO - Iter [12400/160000] lr: 3.177e-05, eta: 1 day, 4:58:17, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5073, decode.acc_seg: 80.8088, aux.loss_ce: 0.2563, aux.acc_seg: 77.1393, loss: 0.7637 2024-03-04 12:28:33,013 - mmseg - INFO - Iter [12450/160000] lr: 3.176e-05, eta: 1 day, 4:57:32, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5297, decode.acc_seg: 79.3838, aux.loss_ce: 0.2641, aux.acc_seg: 76.0319, loss: 0.7937 2024-03-04 12:29:07,364 - mmseg - INFO - Iter [12500/160000] lr: 3.175e-05, eta: 1 day, 4:56:45, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5277, decode.acc_seg: 79.1153, aux.loss_ce: 0.2733, aux.acc_seg: 74.8351, loss: 0.8011 2024-03-04 12:29:41,862 - mmseg - INFO - Iter [12550/160000] lr: 3.174e-05, eta: 1 day, 4:56:00, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5229, decode.acc_seg: 79.5946, aux.loss_ce: 0.2672, aux.acc_seg: 75.7713, loss: 0.7901 2024-03-04 12:30:16,295 - mmseg - INFO - Iter [12600/160000] lr: 3.173e-05, eta: 1 day, 4:55:14, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5118, decode.acc_seg: 80.4812, aux.loss_ce: 0.2618, aux.acc_seg: 76.4800, loss: 0.7737 2024-03-04 12:30:53,664 - mmseg - INFO - Iter [12650/160000] lr: 3.171e-05, eta: 1 day, 4:55:03, time: 0.747, data_time: 0.066, memory: 9361, decode.loss_ce: 0.4896, decode.acc_seg: 81.2561, aux.loss_ce: 0.2546, aux.acc_seg: 77.0271, loss: 0.7442 2024-03-04 12:31:28,001 - mmseg - INFO - Iter [12700/160000] lr: 3.170e-05, eta: 1 day, 4:54:16, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4795, decode.acc_seg: 81.1754, aux.loss_ce: 0.2480, aux.acc_seg: 77.4157, loss: 0.7275 2024-03-04 12:32:02,303 - mmseg - INFO - Iter [12750/160000] lr: 3.169e-05, eta: 1 day, 4:53:29, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4954, decode.acc_seg: 81.3250, aux.loss_ce: 0.2655, aux.acc_seg: 76.5173, loss: 0.7609 2024-03-04 12:32:36,600 - mmseg - INFO - Iter [12800/160000] lr: 3.168e-05, eta: 1 day, 4:52:42, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4837, decode.acc_seg: 81.4863, aux.loss_ce: 0.2490, aux.acc_seg: 77.8477, loss: 0.7327 2024-03-04 12:33:11,075 - mmseg - INFO - Iter [12850/160000] lr: 3.167e-05, eta: 1 day, 4:51:57, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4921, decode.acc_seg: 80.8697, aux.loss_ce: 0.2572, aux.acc_seg: 76.5954, loss: 0.7493 2024-03-04 12:33:45,354 - mmseg - INFO - Iter [12900/160000] lr: 3.166e-05, eta: 1 day, 4:51:10, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5108, decode.acc_seg: 80.5468, aux.loss_ce: 0.2660, aux.acc_seg: 76.0263, loss: 0.7768 2024-03-04 12:34:19,690 - mmseg - INFO - Iter [12950/160000] lr: 3.165e-05, eta: 1 day, 4:50:23, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4996, decode.acc_seg: 80.1606, aux.loss_ce: 0.2559, aux.acc_seg: 76.0621, loss: 0.7555 2024-03-04 12:34:54,139 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 12:34:54,140 - mmseg - INFO - Iter [13000/160000] lr: 3.164e-05, eta: 1 day, 4:49:38, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4832, decode.acc_seg: 81.4169, aux.loss_ce: 0.2508, aux.acc_seg: 77.3396, loss: 0.7340 2024-03-04 12:35:28,544 - mmseg - INFO - Iter [13050/160000] lr: 3.163e-05, eta: 1 day, 4:48:53, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4867, decode.acc_seg: 81.6742, aux.loss_ce: 0.2532, aux.acc_seg: 77.2626, loss: 0.7399 2024-03-04 12:36:02,929 - mmseg - INFO - Iter [13100/160000] lr: 3.162e-05, eta: 1 day, 4:48:08, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4849, decode.acc_seg: 81.3036, aux.loss_ce: 0.2479, aux.acc_seg: 77.5949, loss: 0.7327 2024-03-04 12:36:37,457 - mmseg - INFO - Iter [13150/160000] lr: 3.161e-05, eta: 1 day, 4:47:24, time: 0.691, data_time: 0.012, memory: 9361, decode.loss_ce: 0.5072, decode.acc_seg: 80.3557, aux.loss_ce: 0.2600, aux.acc_seg: 76.5399, loss: 0.7672 2024-03-04 12:37:11,787 - mmseg - INFO - Iter [13200/160000] lr: 3.160e-05, eta: 1 day, 4:46:38, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4911, decode.acc_seg: 80.8999, aux.loss_ce: 0.2507, aux.acc_seg: 76.9314, loss: 0.7419 2024-03-04 12:37:46,328 - mmseg - INFO - Iter [13250/160000] lr: 3.159e-05, eta: 1 day, 4:45:54, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4955, decode.acc_seg: 80.7971, aux.loss_ce: 0.2508, aux.acc_seg: 77.3874, loss: 0.7463 2024-03-04 12:38:20,784 - mmseg - INFO - Iter [13300/160000] lr: 3.157e-05, eta: 1 day, 4:45:10, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.5204, decode.acc_seg: 80.2449, aux.loss_ce: 0.2676, aux.acc_seg: 76.1568, loss: 0.7879 2024-03-04 12:38:55,209 - mmseg - INFO - Iter [13350/160000] lr: 3.156e-05, eta: 1 day, 4:44:25, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.5096, decode.acc_seg: 80.8234, aux.loss_ce: 0.2590, aux.acc_seg: 77.0152, loss: 0.7686 2024-03-04 12:39:29,591 - mmseg - INFO - Iter [13400/160000] lr: 3.155e-05, eta: 1 day, 4:43:40, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5182, decode.acc_seg: 79.5351, aux.loss_ce: 0.2659, aux.acc_seg: 75.3850, loss: 0.7842 2024-03-04 12:40:03,905 - mmseg - INFO - Iter [13450/160000] lr: 3.154e-05, eta: 1 day, 4:42:54, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5116, decode.acc_seg: 80.2343, aux.loss_ce: 0.2644, aux.acc_seg: 76.3796, loss: 0.7759 2024-03-04 12:40:38,184 - mmseg - INFO - Iter [13500/160000] lr: 3.153e-05, eta: 1 day, 4:42:08, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4679, decode.acc_seg: 82.0130, aux.loss_ce: 0.2394, aux.acc_seg: 78.1575, loss: 0.7072 2024-03-04 12:41:12,631 - mmseg - INFO - Iter [13550/160000] lr: 3.152e-05, eta: 1 day, 4:41:24, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4775, decode.acc_seg: 82.1722, aux.loss_ce: 0.2446, aux.acc_seg: 78.1356, loss: 0.7221 2024-03-04 12:41:46,954 - mmseg - INFO - Iter [13600/160000] lr: 3.151e-05, eta: 1 day, 4:40:39, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.5236, decode.acc_seg: 79.4793, aux.loss_ce: 0.2671, aux.acc_seg: 75.3651, loss: 0.7907 2024-03-04 12:42:21,355 - mmseg - INFO - Iter [13650/160000] lr: 3.150e-05, eta: 1 day, 4:39:54, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.5278, decode.acc_seg: 80.0033, aux.loss_ce: 0.2720, aux.acc_seg: 75.6798, loss: 0.7998 2024-03-04 12:42:55,796 - mmseg - INFO - Iter [13700/160000] lr: 3.149e-05, eta: 1 day, 4:39:10, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4787, decode.acc_seg: 81.5045, aux.loss_ce: 0.2505, aux.acc_seg: 77.2580, loss: 0.7292 2024-03-04 12:43:30,033 - mmseg - INFO - Iter [13750/160000] lr: 3.148e-05, eta: 1 day, 4:38:24, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5253, decode.acc_seg: 80.6415, aux.loss_ce: 0.2643, aux.acc_seg: 76.7860, loss: 0.7896 2024-03-04 12:44:04,188 - mmseg - INFO - Iter [13800/160000] lr: 3.147e-05, eta: 1 day, 4:37:37, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.5072, decode.acc_seg: 80.3518, aux.loss_ce: 0.2550, aux.acc_seg: 76.7602, loss: 0.7622 2024-03-04 12:44:38,522 - mmseg - INFO - Iter [13850/160000] lr: 3.146e-05, eta: 1 day, 4:36:53, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5022, decode.acc_seg: 80.9213, aux.loss_ce: 0.2631, aux.acc_seg: 76.3666, loss: 0.7653 2024-03-04 12:45:15,911 - mmseg - INFO - Iter [13900/160000] lr: 3.145e-05, eta: 1 day, 4:36:40, time: 0.748, data_time: 0.056, memory: 9361, decode.loss_ce: 0.5147, decode.acc_seg: 80.3685, aux.loss_ce: 0.2626, aux.acc_seg: 76.5938, loss: 0.7773 2024-03-04 12:45:50,202 - mmseg - INFO - Iter [13950/160000] lr: 3.144e-05, eta: 1 day, 4:35:55, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4918, decode.acc_seg: 81.1794, aux.loss_ce: 0.2565, aux.acc_seg: 76.6337, loss: 0.7483 2024-03-04 12:46:24,640 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 12:46:24,640 - mmseg - INFO - Iter [14000/160000] lr: 3.142e-05, eta: 1 day, 4:35:11, time: 0.689, data_time: 0.013, memory: 9361, decode.loss_ce: 0.4697, decode.acc_seg: 81.9866, aux.loss_ce: 0.2422, aux.acc_seg: 78.1952, loss: 0.7118 2024-03-04 12:46:59,044 - mmseg - INFO - Iter [14050/160000] lr: 3.141e-05, eta: 1 day, 4:34:27, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4994, decode.acc_seg: 80.7296, aux.loss_ce: 0.2544, aux.acc_seg: 76.9518, loss: 0.7537 2024-03-04 12:47:33,505 - mmseg - INFO - Iter [14100/160000] lr: 3.140e-05, eta: 1 day, 4:33:44, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4817, decode.acc_seg: 81.0252, aux.loss_ce: 0.2523, aux.acc_seg: 76.8982, loss: 0.7340 2024-03-04 12:48:07,892 - mmseg - INFO - Iter [14150/160000] lr: 3.139e-05, eta: 1 day, 4:33:00, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4833, decode.acc_seg: 81.2867, aux.loss_ce: 0.2521, aux.acc_seg: 76.9221, loss: 0.7355 2024-03-04 12:48:42,086 - mmseg - INFO - Iter [14200/160000] lr: 3.138e-05, eta: 1 day, 4:32:14, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4576, decode.acc_seg: 82.7162, aux.loss_ce: 0.2431, aux.acc_seg: 78.3063, loss: 0.7007 2024-03-04 12:49:16,341 - mmseg - INFO - Iter [14250/160000] lr: 3.137e-05, eta: 1 day, 4:31:28, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4731, decode.acc_seg: 81.8097, aux.loss_ce: 0.2441, aux.acc_seg: 78.0865, loss: 0.7172 2024-03-04 12:49:50,560 - mmseg - INFO - Iter [14300/160000] lr: 3.136e-05, eta: 1 day, 4:30:43, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4802, decode.acc_seg: 81.1738, aux.loss_ce: 0.2494, aux.acc_seg: 77.2767, loss: 0.7296 2024-03-04 12:50:24,832 - mmseg - INFO - Iter [14350/160000] lr: 3.135e-05, eta: 1 day, 4:29:58, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5050, decode.acc_seg: 80.6482, aux.loss_ce: 0.2574, aux.acc_seg: 76.7494, loss: 0.7624 2024-03-04 12:50:59,149 - mmseg - INFO - Iter [14400/160000] lr: 3.134e-05, eta: 1 day, 4:29:14, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4909, decode.acc_seg: 81.0505, aux.loss_ce: 0.2477, aux.acc_seg: 77.3606, loss: 0.7386 2024-03-04 12:51:33,498 - mmseg - INFO - Iter [14450/160000] lr: 3.133e-05, eta: 1 day, 4:28:30, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4483, decode.acc_seg: 82.2910, aux.loss_ce: 0.2283, aux.acc_seg: 78.5580, loss: 0.6766 2024-03-04 12:52:07,783 - mmseg - INFO - Iter [14500/160000] lr: 3.132e-05, eta: 1 day, 4:27:45, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4801, decode.acc_seg: 82.0679, aux.loss_ce: 0.2512, aux.acc_seg: 78.0134, loss: 0.7313 2024-03-04 12:52:42,106 - mmseg - INFO - Iter [14550/160000] lr: 3.131e-05, eta: 1 day, 4:27:01, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4828, decode.acc_seg: 81.4092, aux.loss_ce: 0.2499, aux.acc_seg: 77.4474, loss: 0.7327 2024-03-04 12:53:16,718 - mmseg - INFO - Iter [14600/160000] lr: 3.130e-05, eta: 1 day, 4:26:20, time: 0.692, data_time: 0.014, memory: 9361, decode.loss_ce: 0.4975, decode.acc_seg: 81.4927, aux.loss_ce: 0.2589, aux.acc_seg: 77.5173, loss: 0.7565 2024-03-04 12:53:51,103 - mmseg - INFO - Iter [14650/160000] lr: 3.128e-05, eta: 1 day, 4:25:37, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4851, decode.acc_seg: 80.8300, aux.loss_ce: 0.2464, aux.acc_seg: 77.0604, loss: 0.7315 2024-03-04 12:54:25,600 - mmseg - INFO - Iter [14700/160000] lr: 3.127e-05, eta: 1 day, 4:24:54, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.4711, decode.acc_seg: 81.9233, aux.loss_ce: 0.2394, aux.acc_seg: 78.3786, loss: 0.7104 2024-03-04 12:54:59,937 - mmseg - INFO - Iter [14750/160000] lr: 3.126e-05, eta: 1 day, 4:24:11, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4767, decode.acc_seg: 81.7363, aux.loss_ce: 0.2474, aux.acc_seg: 77.4921, loss: 0.7240 2024-03-04 12:55:34,345 - mmseg - INFO - Iter [14800/160000] lr: 3.125e-05, eta: 1 day, 4:23:28, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4776, decode.acc_seg: 81.4896, aux.loss_ce: 0.2501, aux.acc_seg: 77.2744, loss: 0.7277 2024-03-04 12:56:08,868 - mmseg - INFO - Iter [14850/160000] lr: 3.124e-05, eta: 1 day, 4:22:46, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5095, decode.acc_seg: 80.9431, aux.loss_ce: 0.2633, aux.acc_seg: 76.7390, loss: 0.7728 2024-03-04 12:56:43,106 - mmseg - INFO - Iter [14900/160000] lr: 3.123e-05, eta: 1 day, 4:22:01, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4672, decode.acc_seg: 82.0142, aux.loss_ce: 0.2438, aux.acc_seg: 78.2536, loss: 0.7110 2024-03-04 12:57:17,352 - mmseg - INFO - Iter [14950/160000] lr: 3.122e-05, eta: 1 day, 4:21:17, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.5062, decode.acc_seg: 80.8424, aux.loss_ce: 0.2564, aux.acc_seg: 76.9518, loss: 0.7626 2024-03-04 12:57:51,699 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 12:57:51,700 - mmseg - INFO - Iter [15000/160000] lr: 3.121e-05, eta: 1 day, 4:20:34, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4992, decode.acc_seg: 80.8661, aux.loss_ce: 0.2568, aux.acc_seg: 76.9524, loss: 0.7560 2024-03-04 12:58:26,098 - mmseg - INFO - Iter [15050/160000] lr: 3.120e-05, eta: 1 day, 4:19:51, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4713, decode.acc_seg: 81.4791, aux.loss_ce: 0.2415, aux.acc_seg: 77.7521, loss: 0.7128 2024-03-04 12:59:00,649 - mmseg - INFO - Iter [15100/160000] lr: 3.119e-05, eta: 1 day, 4:19:10, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4709, decode.acc_seg: 82.0625, aux.loss_ce: 0.2492, aux.acc_seg: 77.6851, loss: 0.7201 2024-03-04 12:59:35,143 - mmseg - INFO - Iter [15150/160000] lr: 3.118e-05, eta: 1 day, 4:18:28, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.4663, decode.acc_seg: 81.8426, aux.loss_ce: 0.2433, aux.acc_seg: 77.4388, loss: 0.7096 2024-03-04 13:00:12,730 - mmseg - INFO - Iter [15200/160000] lr: 3.117e-05, eta: 1 day, 4:18:16, time: 0.752, data_time: 0.059, memory: 9361, decode.loss_ce: 0.4270, decode.acc_seg: 83.3553, aux.loss_ce: 0.2268, aux.acc_seg: 78.9356, loss: 0.6538 2024-03-04 13:00:47,218 - mmseg - INFO - Iter [15250/160000] lr: 3.116e-05, eta: 1 day, 4:17:34, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4538, decode.acc_seg: 82.3917, aux.loss_ce: 0.2394, aux.acc_seg: 78.1305, loss: 0.6932 2024-03-04 13:01:21,426 - mmseg - INFO - Iter [15300/160000] lr: 3.114e-05, eta: 1 day, 4:16:50, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4589, decode.acc_seg: 81.7512, aux.loss_ce: 0.2355, aux.acc_seg: 78.1342, loss: 0.6944 2024-03-04 13:01:55,756 - mmseg - INFO - Iter [15350/160000] lr: 3.113e-05, eta: 1 day, 4:16:06, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4519, decode.acc_seg: 82.2489, aux.loss_ce: 0.2418, aux.acc_seg: 77.8504, loss: 0.6937 2024-03-04 13:02:30,184 - mmseg - INFO - Iter [15400/160000] lr: 3.112e-05, eta: 1 day, 4:15:24, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.4366, decode.acc_seg: 83.3436, aux.loss_ce: 0.2326, aux.acc_seg: 78.6994, loss: 0.6692 2024-03-04 13:03:04,584 - mmseg - INFO - Iter [15450/160000] lr: 3.111e-05, eta: 1 day, 4:14:42, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4544, decode.acc_seg: 82.3974, aux.loss_ce: 0.2378, aux.acc_seg: 78.3352, loss: 0.6923 2024-03-04 13:03:38,912 - mmseg - INFO - Iter [15500/160000] lr: 3.110e-05, eta: 1 day, 4:13:59, time: 0.687, data_time: 0.011, memory: 9361, decode.loss_ce: 0.4910, decode.acc_seg: 81.2213, aux.loss_ce: 0.2535, aux.acc_seg: 76.7448, loss: 0.7445 2024-03-04 13:04:13,699 - mmseg - INFO - Iter [15550/160000] lr: 3.109e-05, eta: 1 day, 4:13:20, time: 0.696, data_time: 0.020, memory: 9361, decode.loss_ce: 0.4557, decode.acc_seg: 82.5569, aux.loss_ce: 0.2412, aux.acc_seg: 78.1549, loss: 0.6969 2024-03-04 13:04:48,604 - mmseg - INFO - Iter [15600/160000] lr: 3.108e-05, eta: 1 day, 4:12:42, time: 0.698, data_time: 0.022, memory: 9361, decode.loss_ce: 0.4619, decode.acc_seg: 82.2544, aux.loss_ce: 0.2424, aux.acc_seg: 78.3515, loss: 0.7043 2024-03-04 13:05:23,545 - mmseg - INFO - Iter [15650/160000] lr: 3.107e-05, eta: 1 day, 4:12:05, time: 0.699, data_time: 0.022, memory: 9361, decode.loss_ce: 0.4556, decode.acc_seg: 82.5192, aux.loss_ce: 0.2395, aux.acc_seg: 78.0001, loss: 0.6951 2024-03-04 13:05:58,254 - mmseg - INFO - Iter [15700/160000] lr: 3.106e-05, eta: 1 day, 4:11:26, time: 0.694, data_time: 0.019, memory: 9361, decode.loss_ce: 0.4457, decode.acc_seg: 82.5681, aux.loss_ce: 0.2315, aux.acc_seg: 78.5832, loss: 0.6773 2024-03-04 13:06:33,387 - mmseg - INFO - Iter [15750/160000] lr: 3.105e-05, eta: 1 day, 4:10:50, time: 0.703, data_time: 0.024, memory: 9361, decode.loss_ce: 0.4316, decode.acc_seg: 83.1523, aux.loss_ce: 0.2334, aux.acc_seg: 78.4977, loss: 0.6650 2024-03-04 13:07:08,333 - mmseg - INFO - Iter [15800/160000] lr: 3.104e-05, eta: 1 day, 4:10:13, time: 0.699, data_time: 0.020, memory: 9361, decode.loss_ce: 0.4388, decode.acc_seg: 82.2675, aux.loss_ce: 0.2232, aux.acc_seg: 79.1117, loss: 0.6620 2024-03-04 13:07:43,027 - mmseg - INFO - Iter [15850/160000] lr: 3.103e-05, eta: 1 day, 4:09:34, time: 0.694, data_time: 0.018, memory: 9361, decode.loss_ce: 0.4571, decode.acc_seg: 82.2273, aux.loss_ce: 0.2356, aux.acc_seg: 78.3957, loss: 0.6927 2024-03-04 13:08:18,223 - mmseg - INFO - Iter [15900/160000] lr: 3.102e-05, eta: 1 day, 4:08:59, time: 0.704, data_time: 0.022, memory: 9361, decode.loss_ce: 0.4767, decode.acc_seg: 81.9237, aux.loss_ce: 0.2526, aux.acc_seg: 77.2332, loss: 0.7293 2024-03-04 13:08:53,172 - mmseg - INFO - Iter [15950/160000] lr: 3.100e-05, eta: 1 day, 4:08:22, time: 0.699, data_time: 0.021, memory: 9361, decode.loss_ce: 0.4829, decode.acc_seg: 81.7313, aux.loss_ce: 0.2491, aux.acc_seg: 78.1381, loss: 0.7321 2024-03-04 13:09:28,007 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 13:09:28,008 - mmseg - INFO - Iter [16000/160000] lr: 3.099e-05, eta: 1 day, 4:07:44, time: 0.697, data_time: 0.019, memory: 9361, decode.loss_ce: 0.4815, decode.acc_seg: 81.5384, aux.loss_ce: 0.2423, aux.acc_seg: 78.1273, loss: 0.7238 2024-03-04 13:13:02,925 - mmseg - INFO - per class results: 2024-03-04 13:13:02,934 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 74.61 | 85.09 | | building | 81.92 | 90.72 | | sky | 93.97 | 97.39 | | floor | 79.48 | 89.0 | | tree | 71.7 | 90.16 | | ceiling | 80.57 | 92.59 | | road | 80.87 | 88.91 | | bed | 87.5 | 94.2 | | windowpane | 57.28 | 70.76 | | grass | 70.41 | 87.97 | | cabinet | 56.07 | 69.67 | | sidewalk | 60.05 | 76.23 | | person | 79.36 | 91.61 | | earth | 30.7 | 41.0 | | door | 38.06 | 48.29 | | table | 51.45 | 69.6 | | mountain | 55.13 | 71.31 | | plant | 41.51 | 48.0 | | curtain | 68.8 | 87.37 | | chair | 52.1 | 70.01 | | car | 83.02 | 91.23 | | water | 46.12 | 58.88 | | painting | 68.59 | 87.81 | | sofa | 58.07 | 68.8 | | shelf | 42.95 | 62.54 | | house | 47.23 | 59.64 | | sea | 62.75 | 86.62 | | mirror | 58.8 | 69.83 | | rug | 54.15 | 61.48 | | field | 26.19 | 43.97 | | armchair | 36.91 | 74.22 | | seat | 53.64 | 82.84 | | fence | 40.53 | 63.0 | | desk | 45.18 | 69.65 | | rock | 39.62 | 58.91 | | wardrobe | 46.11 | 76.54 | | lamp | 57.77 | 71.51 | | bathtub | 74.65 | 83.25 | | railing | 28.35 | 33.84 | | cushion | 51.04 | 66.35 | | base | 17.3 | 26.3 | | box | 19.59 | 26.61 | | column | 43.21 | 56.4 | | signboard | 35.75 | 44.95 | | chest of drawers | 41.27 | 67.5 | | counter | 30.22 | 38.78 | | sand | 28.39 | 37.87 | | sink | 60.03 | 66.86 | | skyscraper | 56.43 | 83.19 | | fireplace | 61.08 | 91.92 | | refrigerator | 67.1 | 78.62 | | grandstand | 36.66 | 79.11 | | path | 21.49 | 27.13 | | stairs | 27.28 | 33.19 | | runway | 68.71 | 94.59 | | case | 51.27 | 54.97 | | pool table | 92.2 | 95.96 | | pillow | 53.26 | 64.63 | | screen door | 62.83 | 79.5 | | stairway | 33.66 | 40.35 | | river | 14.89 | 45.0 | | bridge | 54.09 | 67.51 | | bookcase | 34.77 | 51.06 | | blind | 42.15 | 53.09 | | coffee table | 48.35 | 81.71 | | toilet | 70.6 | 92.3 | | flower | 27.08 | 44.22 | | book | 44.11 | 58.41 | | hill | 6.48 | 10.64 | | bench | 35.46 | 48.52 | | countertop | 45.34 | 65.62 | | stove | 63.02 | 70.42 | | palm | 50.98 | 71.11 | | kitchen island | 30.01 | 54.95 | | computer | 55.12 | 68.42 | | swivel chair | 43.87 | 65.31 | | boat | 70.48 | 81.5 | | bar | 38.13 | 53.19 | | arcade machine | 44.58 | 49.98 | | hovel | 37.14 | 46.86 | | bus | 81.09 | 94.2 | | towel | 49.3 | 62.21 | | light | 40.9 | 45.62 | | truck | 19.57 | 23.83 | | tower | 36.38 | 66.34 | | chandelier | 61.9 | 80.64 | | awning | 19.87 | 29.32 | | streetlight | 18.52 | 22.5 | | booth | 37.37 | 68.93 | | television receiver | 60.94 | 80.89 | | airplane | 42.69 | 67.85 | | dirt track | 3.1 | 6.23 | | apparel | 38.5 | 62.06 | | pole | 14.95 | 18.5 | | land | 0.03 | 0.06 | | bannister | 7.1 | 8.05 | | escalator | 47.93 | 70.59 | | ottoman | 37.57 | 65.67 | | bottle | 31.88 | 50.99 | | buffet | 46.5 | 54.95 | | poster | 12.04 | 13.19 | | stage | 9.97 | 17.67 | | van | 38.88 | 50.9 | | ship | 20.84 | 22.73 | | fountain | 19.01 | 19.93 | | conveyer belt | 59.74 | 87.49 | | canopy | 11.33 | 17.54 | | washer | 67.77 | 72.05 | | plaything | 23.97 | 37.74 | | swimming pool | 40.48 | 91.03 | | stool | 29.1 | 42.31 | | barrel | 23.86 | 65.12 | | basket | 25.82 | 34.68 | | waterfall | 60.04 | 84.8 | | tent | 87.05 | 99.08 | | bag | 14.5 | 17.46 | | minibike | 43.88 | 91.19 | | cradle | 69.77 | 95.07 | | oven | 24.16 | 55.01 | | ball | 47.11 | 65.96 | | food | 50.7 | 67.01 | | step | 1.36 | 1.4 | | tank | 42.97 | 44.6 | | trade name | 22.59 | 25.58 | | microwave | 42.88 | 48.43 | | pot | 41.27 | 50.61 | | animal | 53.25 | 54.88 | | bicycle | 46.17 | 60.45 | | lake | 0.0 | 0.0 | | dishwasher | 53.13 | 62.19 | | screen | 64.25 | 90.04 | | blanket | 4.58 | 5.34 | | sculpture | 43.05 | 65.61 | | hood | 56.86 | 63.9 | | sconce | 29.96 | 37.16 | | vase | 33.17 | 50.25 | | traffic light | 23.64 | 43.88 | | tray | 6.92 | 10.91 | | ashcan | 29.75 | 47.32 | | fan | 48.19 | 58.13 | | pier | 14.42 | 15.65 | | crt screen | 2.89 | 4.7 | | plate | 41.24 | 60.63 | | monitor | 30.94 | 40.93 | | bulletin board | 40.4 | 42.7 | | shower | 0.0 | 0.0 | | radiator | 50.66 | 58.42 | | glass | 7.98 | 8.54 | | clock | 26.9 | 33.58 | | flag | 34.6 | 35.9 | +---------------------+-------+-------+ 2024-03-04 13:13:02,934 - mmseg - INFO - Summary: 2024-03-04 13:13:02,934 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 80.74 | 43.12 | 56.99 | +-------+-------+-------+ 2024-03-04 13:13:02,948 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 13:13:02,948 - mmseg - INFO - Iter(val) [500] aAcc: 0.8074, mIoU: 0.4312, mAcc: 0.5699, IoU.wall: 0.7461, IoU.building: 0.8192, IoU.sky: 0.9397, IoU.floor: 0.7948, IoU.tree: 0.7170, IoU.ceiling: 0.8057, IoU.road: 0.8087, IoU.bed : 0.8750, IoU.windowpane: 0.5728, IoU.grass: 0.7041, IoU.cabinet: 0.5607, IoU.sidewalk: 0.6005, IoU.person: 0.7936, IoU.earth: 0.3070, IoU.door: 0.3806, IoU.table: 0.5145, IoU.mountain: 0.5513, IoU.plant: 0.4151, IoU.curtain: 0.6880, IoU.chair: 0.5210, IoU.car: 0.8302, IoU.water: 0.4612, IoU.painting: 0.6859, IoU.sofa: 0.5807, IoU.shelf: 0.4295, IoU.house: 0.4723, IoU.sea: 0.6275, IoU.mirror: 0.5880, IoU.rug: 0.5415, IoU.field: 0.2619, IoU.armchair: 0.3691, IoU.seat: 0.5364, IoU.fence: 0.4053, IoU.desk: 0.4518, IoU.rock: 0.3962, IoU.wardrobe: 0.4611, IoU.lamp: 0.5777, IoU.bathtub: 0.7465, IoU.railing: 0.2835, IoU.cushion: 0.5104, IoU.base: 0.1730, IoU.box: 0.1959, IoU.column: 0.4321, IoU.signboard: 0.3575, IoU.chest of drawers: 0.4127, IoU.counter: 0.3022, IoU.sand: 0.2839, IoU.sink: 0.6003, IoU.skyscraper: 0.5643, IoU.fireplace: 0.6108, IoU.refrigerator: 0.6710, IoU.grandstand: 0.3666, IoU.path: 0.2149, IoU.stairs: 0.2728, IoU.runway: 0.6871, IoU.case: 0.5127, IoU.pool table: 0.9220, IoU.pillow: 0.5326, IoU.screen door: 0.6283, IoU.stairway: 0.3366, IoU.river: 0.1489, IoU.bridge: 0.5409, IoU.bookcase: 0.3477, IoU.blind: 0.4215, IoU.coffee table: 0.4835, IoU.toilet: 0.7060, IoU.flower: 0.2708, IoU.book: 0.4411, IoU.hill: 0.0648, IoU.bench: 0.3546, IoU.countertop: 0.4534, IoU.stove: 0.6302, IoU.palm: 0.5098, IoU.kitchen island: 0.3001, IoU.computer: 0.5512, IoU.swivel chair: 0.4387, IoU.boat: 0.7048, IoU.bar: 0.3813, IoU.arcade machine: 0.4458, IoU.hovel: 0.3714, IoU.bus: 0.8109, IoU.towel: 0.4930, IoU.light: 0.4090, IoU.truck: 0.1957, IoU.tower: 0.3638, IoU.chandelier: 0.6190, IoU.awning: 0.1987, IoU.streetlight: 0.1852, IoU.booth: 0.3737, IoU.television receiver: 0.6094, IoU.airplane: 0.4269, IoU.dirt track: 0.0310, IoU.apparel: 0.3850, IoU.pole: 0.1495, IoU.land: 0.0003, IoU.bannister: 0.0710, IoU.escalator: 0.4793, IoU.ottoman: 0.3757, IoU.bottle: 0.3188, IoU.buffet: 0.4650, IoU.poster: 0.1204, IoU.stage: 0.0997, IoU.van: 0.3888, IoU.ship: 0.2084, IoU.fountain: 0.1901, IoU.conveyer belt: 0.5974, IoU.canopy: 0.1133, IoU.washer: 0.6777, IoU.plaything: 0.2397, IoU.swimming pool: 0.4048, IoU.stool: 0.2910, IoU.barrel: 0.2386, IoU.basket: 0.2582, IoU.waterfall: 0.6004, IoU.tent: 0.8705, IoU.bag: 0.1450, IoU.minibike: 0.4388, IoU.cradle: 0.6977, IoU.oven: 0.2416, IoU.ball: 0.4711, IoU.food: 0.5070, IoU.step: 0.0136, IoU.tank: 0.4297, IoU.trade name: 0.2259, IoU.microwave: 0.4288, IoU.pot: 0.4127, IoU.animal: 0.5325, IoU.bicycle: 0.4617, IoU.lake: 0.0000, IoU.dishwasher: 0.5313, IoU.screen: 0.6425, IoU.blanket: 0.0458, IoU.sculpture: 0.4305, IoU.hood: 0.5686, IoU.sconce: 0.2996, IoU.vase: 0.3317, IoU.traffic light: 0.2364, IoU.tray: 0.0692, IoU.ashcan: 0.2975, IoU.fan: 0.4819, IoU.pier: 0.1442, IoU.crt screen: 0.0289, IoU.plate: 0.4124, IoU.monitor: 0.3094, IoU.bulletin board: 0.4040, IoU.shower: 0.0000, IoU.radiator: 0.5066, IoU.glass: 0.0798, IoU.clock: 0.2690, IoU.flag: 0.3460, Acc.wall: 0.8509, Acc.building: 0.9072, Acc.sky: 0.9739, Acc.floor: 0.8900, Acc.tree: 0.9016, Acc.ceiling: 0.9259, Acc.road: 0.8891, Acc.bed : 0.9420, Acc.windowpane: 0.7076, Acc.grass: 0.8797, Acc.cabinet: 0.6967, Acc.sidewalk: 0.7623, Acc.person: 0.9161, Acc.earth: 0.4100, Acc.door: 0.4829, Acc.table: 0.6960, Acc.mountain: 0.7131, Acc.plant: 0.4800, Acc.curtain: 0.8737, Acc.chair: 0.7001, Acc.car: 0.9123, Acc.water: 0.5888, Acc.painting: 0.8781, Acc.sofa: 0.6880, Acc.shelf: 0.6254, Acc.house: 0.5964, Acc.sea: 0.8662, Acc.mirror: 0.6983, Acc.rug: 0.6148, Acc.field: 0.4397, Acc.armchair: 0.7422, Acc.seat: 0.8284, Acc.fence: 0.6300, Acc.desk: 0.6965, Acc.rock: 0.5891, Acc.wardrobe: 0.7654, Acc.lamp: 0.7151, Acc.bathtub: 0.8325, Acc.railing: 0.3384, Acc.cushion: 0.6635, Acc.base: 0.2630, Acc.box: 0.2661, Acc.column: 0.5640, Acc.signboard: 0.4495, Acc.chest of drawers: 0.6750, Acc.counter: 0.3878, Acc.sand: 0.3787, Acc.sink: 0.6686, Acc.skyscraper: 0.8319, Acc.fireplace: 0.9192, Acc.refrigerator: 0.7862, Acc.grandstand: 0.7911, Acc.path: 0.2713, Acc.stairs: 0.3319, Acc.runway: 0.9459, Acc.case: 0.5497, Acc.pool table: 0.9596, Acc.pillow: 0.6463, Acc.screen door: 0.7950, Acc.stairway: 0.4035, Acc.river: 0.4500, Acc.bridge: 0.6751, Acc.bookcase: 0.5106, Acc.blind: 0.5309, Acc.coffee table: 0.8171, Acc.toilet: 0.9230, Acc.flower: 0.4422, Acc.book: 0.5841, Acc.hill: 0.1064, Acc.bench: 0.4852, Acc.countertop: 0.6562, Acc.stove: 0.7042, Acc.palm: 0.7111, Acc.kitchen island: 0.5495, Acc.computer: 0.6842, Acc.swivel chair: 0.6531, Acc.boat: 0.8150, Acc.bar: 0.5319, Acc.arcade machine: 0.4998, Acc.hovel: 0.4686, Acc.bus: 0.9420, Acc.towel: 0.6221, Acc.light: 0.4562, Acc.truck: 0.2383, Acc.tower: 0.6634, Acc.chandelier: 0.8064, Acc.awning: 0.2932, Acc.streetlight: 0.2250, Acc.booth: 0.6893, Acc.television receiver: 0.8089, Acc.airplane: 0.6785, Acc.dirt track: 0.0623, Acc.apparel: 0.6206, Acc.pole: 0.1850, Acc.land: 0.0006, Acc.bannister: 0.0805, Acc.escalator: 0.7059, Acc.ottoman: 0.6567, Acc.bottle: 0.5099, Acc.buffet: 0.5495, Acc.poster: 0.1319, Acc.stage: 0.1767, Acc.van: 0.5090, Acc.ship: 0.2273, Acc.fountain: 0.1993, Acc.conveyer belt: 0.8749, Acc.canopy: 0.1754, Acc.washer: 0.7205, Acc.plaything: 0.3774, Acc.swimming pool: 0.9103, Acc.stool: 0.4231, Acc.barrel: 0.6512, Acc.basket: 0.3468, Acc.waterfall: 0.8480, Acc.tent: 0.9908, Acc.bag: 0.1746, Acc.minibike: 0.9119, Acc.cradle: 0.9507, Acc.oven: 0.5501, Acc.ball: 0.6596, Acc.food: 0.6701, Acc.step: 0.0140, Acc.tank: 0.4460, Acc.trade name: 0.2558, Acc.microwave: 0.4843, Acc.pot: 0.5061, Acc.animal: 0.5488, Acc.bicycle: 0.6045, Acc.lake: 0.0000, Acc.dishwasher: 0.6219, Acc.screen: 0.9004, Acc.blanket: 0.0534, Acc.sculpture: 0.6561, Acc.hood: 0.6390, Acc.sconce: 0.3716, Acc.vase: 0.5025, Acc.traffic light: 0.4388, Acc.tray: 0.1091, Acc.ashcan: 0.4732, Acc.fan: 0.5813, Acc.pier: 0.1565, Acc.crt screen: 0.0470, Acc.plate: 0.6063, Acc.monitor: 0.4093, Acc.bulletin board: 0.4270, Acc.shower: 0.0000, Acc.radiator: 0.5842, Acc.glass: 0.0854, Acc.clock: 0.3358, Acc.flag: 0.3590 2024-03-04 13:13:37,548 - mmseg - INFO - Iter [16050/160000] lr: 3.098e-05, eta: 1 day, 4:39:11, time: 4.991, data_time: 4.312, memory: 9361, decode.loss_ce: 0.4909, decode.acc_seg: 81.3060, aux.loss_ce: 0.2552, aux.acc_seg: 77.0888, loss: 0.7461 2024-03-04 13:14:12,509 - mmseg - INFO - Iter [16100/160000] lr: 3.097e-05, eta: 1 day, 4:38:28, time: 0.699, data_time: 0.019, memory: 9361, decode.loss_ce: 0.4872, decode.acc_seg: 81.3926, aux.loss_ce: 0.2476, aux.acc_seg: 77.5276, loss: 0.7348 2024-03-04 13:14:47,533 - mmseg - INFO - Iter [16150/160000] lr: 3.096e-05, eta: 1 day, 4:37:45, time: 0.700, data_time: 0.019, memory: 9361, decode.loss_ce: 0.4617, decode.acc_seg: 82.4419, aux.loss_ce: 0.2397, aux.acc_seg: 78.5454, loss: 0.7014 2024-03-04 13:15:22,564 - mmseg - INFO - Iter [16200/160000] lr: 3.095e-05, eta: 1 day, 4:37:02, time: 0.701, data_time: 0.022, memory: 9361, decode.loss_ce: 0.4703, decode.acc_seg: 81.9141, aux.loss_ce: 0.2419, aux.acc_seg: 78.0566, loss: 0.7122 2024-03-04 13:15:57,571 - mmseg - INFO - Iter [16250/160000] lr: 3.094e-05, eta: 1 day, 4:36:19, time: 0.700, data_time: 0.019, memory: 9361, decode.loss_ce: 0.4382, decode.acc_seg: 83.1740, aux.loss_ce: 0.2266, aux.acc_seg: 79.5268, loss: 0.6649 2024-03-04 13:16:32,499 - mmseg - INFO - Iter [16300/160000] lr: 3.093e-05, eta: 1 day, 4:35:35, time: 0.699, data_time: 0.018, memory: 9361, decode.loss_ce: 0.4908, decode.acc_seg: 81.3990, aux.loss_ce: 0.2550, aux.acc_seg: 77.1727, loss: 0.7458 2024-03-04 13:17:07,467 - mmseg - INFO - Iter [16350/160000] lr: 3.092e-05, eta: 1 day, 4:34:52, time: 0.699, data_time: 0.021, memory: 9361, decode.loss_ce: 0.4748, decode.acc_seg: 81.9560, aux.loss_ce: 0.2413, aux.acc_seg: 78.2787, loss: 0.7162 2024-03-04 13:17:42,472 - mmseg - INFO - Iter [16400/160000] lr: 3.091e-05, eta: 1 day, 4:34:09, time: 0.700, data_time: 0.022, memory: 9361, decode.loss_ce: 0.4599, decode.acc_seg: 82.5249, aux.loss_ce: 0.2371, aux.acc_seg: 78.6974, loss: 0.6970 2024-03-04 13:18:20,588 - mmseg - INFO - Iter [16450/160000] lr: 3.090e-05, eta: 1 day, 4:33:53, time: 0.763, data_time: 0.068, memory: 9361, decode.loss_ce: 0.4685, decode.acc_seg: 82.1943, aux.loss_ce: 0.2442, aux.acc_seg: 78.1537, loss: 0.7127 2024-03-04 13:18:55,585 - mmseg - INFO - Iter [16500/160000] lr: 3.089e-05, eta: 1 day, 4:33:10, time: 0.700, data_time: 0.024, memory: 9361, decode.loss_ce: 0.4452, decode.acc_seg: 83.1352, aux.loss_ce: 0.2393, aux.acc_seg: 78.8177, loss: 0.6846 2024-03-04 13:19:30,474 - mmseg - INFO - Iter [16550/160000] lr: 3.088e-05, eta: 1 day, 4:32:26, time: 0.698, data_time: 0.018, memory: 9361, decode.loss_ce: 0.4548, decode.acc_seg: 82.2881, aux.loss_ce: 0.2342, aux.acc_seg: 78.3690, loss: 0.6890 2024-03-04 13:20:05,270 - mmseg - INFO - Iter [16600/160000] lr: 3.086e-05, eta: 1 day, 4:31:42, time: 0.696, data_time: 0.018, memory: 9361, decode.loss_ce: 0.4404, decode.acc_seg: 82.6800, aux.loss_ce: 0.2339, aux.acc_seg: 78.5621, loss: 0.6743 2024-03-04 13:20:40,281 - mmseg - INFO - Iter [16650/160000] lr: 3.085e-05, eta: 1 day, 4:30:59, time: 0.700, data_time: 0.020, memory: 9361, decode.loss_ce: 0.4509, decode.acc_seg: 82.8529, aux.loss_ce: 0.2360, aux.acc_seg: 78.5062, loss: 0.6868 2024-03-04 13:21:14,742 - mmseg - INFO - Iter [16700/160000] lr: 3.084e-05, eta: 1 day, 4:30:12, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.4500, decode.acc_seg: 82.1658, aux.loss_ce: 0.2449, aux.acc_seg: 77.3718, loss: 0.6950 2024-03-04 13:21:49,155 - mmseg - INFO - Iter [16750/160000] lr: 3.083e-05, eta: 1 day, 4:29:24, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4197, decode.acc_seg: 83.4435, aux.loss_ce: 0.2221, aux.acc_seg: 79.2817, loss: 0.6418 2024-03-04 13:22:23,666 - mmseg - INFO - Iter [16800/160000] lr: 3.082e-05, eta: 1 day, 4:28:37, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.4527, decode.acc_seg: 82.6490, aux.loss_ce: 0.2345, aux.acc_seg: 78.5426, loss: 0.6872 2024-03-04 13:22:58,059 - mmseg - INFO - Iter [16850/160000] lr: 3.081e-05, eta: 1 day, 4:27:49, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4513, decode.acc_seg: 82.5185, aux.loss_ce: 0.2377, aux.acc_seg: 78.2452, loss: 0.6890 2024-03-04 13:23:32,578 - mmseg - INFO - Iter [16900/160000] lr: 3.080e-05, eta: 1 day, 4:27:03, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4516, decode.acc_seg: 82.9326, aux.loss_ce: 0.2265, aux.acc_seg: 79.4179, loss: 0.6781 2024-03-04 13:24:06,976 - mmseg - INFO - Iter [16950/160000] lr: 3.079e-05, eta: 1 day, 4:26:15, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4625, decode.acc_seg: 82.7765, aux.loss_ce: 0.2444, aux.acc_seg: 78.3455, loss: 0.7069 2024-03-04 13:24:41,357 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 13:24:41,357 - mmseg - INFO - Iter [17000/160000] lr: 3.078e-05, eta: 1 day, 4:25:28, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4438, decode.acc_seg: 82.3390, aux.loss_ce: 0.2377, aux.acc_seg: 78.0218, loss: 0.6815 2024-03-04 13:25:15,944 - mmseg - INFO - Iter [17050/160000] lr: 3.077e-05, eta: 1 day, 4:24:42, time: 0.692, data_time: 0.011, memory: 9361, decode.loss_ce: 0.4241, decode.acc_seg: 83.8501, aux.loss_ce: 0.2241, aux.acc_seg: 79.5548, loss: 0.6483 2024-03-04 13:25:50,349 - mmseg - INFO - Iter [17100/160000] lr: 3.076e-05, eta: 1 day, 4:23:55, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4848, decode.acc_seg: 80.7708, aux.loss_ce: 0.2449, aux.acc_seg: 77.3508, loss: 0.7297 2024-03-04 13:26:24,738 - mmseg - INFO - Iter [17150/160000] lr: 3.075e-05, eta: 1 day, 4:23:08, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4345, decode.acc_seg: 83.2437, aux.loss_ce: 0.2282, aux.acc_seg: 79.3710, loss: 0.6627 2024-03-04 13:26:59,182 - mmseg - INFO - Iter [17200/160000] lr: 3.074e-05, eta: 1 day, 4:22:21, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4601, decode.acc_seg: 82.4698, aux.loss_ce: 0.2414, aux.acc_seg: 78.6193, loss: 0.7015 2024-03-04 13:27:33,750 - mmseg - INFO - Iter [17250/160000] lr: 3.072e-05, eta: 1 day, 4:21:35, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4443, decode.acc_seg: 83.0225, aux.loss_ce: 0.2341, aux.acc_seg: 78.7598, loss: 0.6785 2024-03-04 13:28:08,219 - mmseg - INFO - Iter [17300/160000] lr: 3.071e-05, eta: 1 day, 4:20:49, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4630, decode.acc_seg: 82.2349, aux.loss_ce: 0.2403, aux.acc_seg: 77.7010, loss: 0.7033 2024-03-04 13:28:42,900 - mmseg - INFO - Iter [17350/160000] lr: 3.070e-05, eta: 1 day, 4:20:04, time: 0.694, data_time: 0.012, memory: 9361, decode.loss_ce: 0.4533, decode.acc_seg: 82.7971, aux.loss_ce: 0.2320, aux.acc_seg: 78.8249, loss: 0.6853 2024-03-04 13:29:17,407 - mmseg - INFO - Iter [17400/160000] lr: 3.069e-05, eta: 1 day, 4:19:18, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4445, decode.acc_seg: 82.6890, aux.loss_ce: 0.2304, aux.acc_seg: 78.9143, loss: 0.6749 2024-03-04 13:29:51,824 - mmseg - INFO - Iter [17450/160000] lr: 3.068e-05, eta: 1 day, 4:18:31, time: 0.688, data_time: 0.011, memory: 9361, decode.loss_ce: 0.4867, decode.acc_seg: 81.2267, aux.loss_ce: 0.2494, aux.acc_seg: 77.3969, loss: 0.7360 2024-03-04 13:30:26,281 - mmseg - INFO - Iter [17500/160000] lr: 3.067e-05, eta: 1 day, 4:17:45, time: 0.689, data_time: 0.012, memory: 9361, decode.loss_ce: 0.4427, decode.acc_seg: 82.3613, aux.loss_ce: 0.2314, aux.acc_seg: 78.3721, loss: 0.6741 2024-03-04 13:31:00,847 - mmseg - INFO - Iter [17550/160000] lr: 3.066e-05, eta: 1 day, 4:17:00, time: 0.691, data_time: 0.012, memory: 9361, decode.loss_ce: 0.4578, decode.acc_seg: 82.2953, aux.loss_ce: 0.2344, aux.acc_seg: 78.6130, loss: 0.6922 2024-03-04 13:31:35,369 - mmseg - INFO - Iter [17600/160000] lr: 3.065e-05, eta: 1 day, 4:16:14, time: 0.690, data_time: 0.012, memory: 9361, decode.loss_ce: 0.4390, decode.acc_seg: 82.9679, aux.loss_ce: 0.2280, aux.acc_seg: 78.9993, loss: 0.6670 2024-03-04 13:32:10,025 - mmseg - INFO - Iter [17650/160000] lr: 3.064e-05, eta: 1 day, 4:15:30, time: 0.693, data_time: 0.013, memory: 9361, decode.loss_ce: 0.4585, decode.acc_seg: 82.4327, aux.loss_ce: 0.2380, aux.acc_seg: 78.7483, loss: 0.6966 2024-03-04 13:32:47,680 - mmseg - INFO - Iter [17700/160000] lr: 3.063e-05, eta: 1 day, 4:15:10, time: 0.753, data_time: 0.070, memory: 9361, decode.loss_ce: 0.4551, decode.acc_seg: 82.5580, aux.loss_ce: 0.2374, aux.acc_seg: 78.3470, loss: 0.6925 2024-03-04 13:33:21,956 - mmseg - INFO - Iter [17750/160000] lr: 3.062e-05, eta: 1 day, 4:14:22, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4194, decode.acc_seg: 83.4272, aux.loss_ce: 0.2261, aux.acc_seg: 78.9023, loss: 0.6455 2024-03-04 13:33:56,645 - mmseg - INFO - Iter [17800/160000] lr: 3.061e-05, eta: 1 day, 4:13:38, time: 0.694, data_time: 0.017, memory: 9361, decode.loss_ce: 0.4009, decode.acc_seg: 83.9436, aux.loss_ce: 0.2196, aux.acc_seg: 79.5964, loss: 0.6205 2024-03-04 13:34:31,239 - mmseg - INFO - Iter [17850/160000] lr: 3.060e-05, eta: 1 day, 4:12:53, time: 0.692, data_time: 0.012, memory: 9361, decode.loss_ce: 0.4248, decode.acc_seg: 83.4072, aux.loss_ce: 0.2244, aux.acc_seg: 79.2751, loss: 0.6492 2024-03-04 13:35:05,507 - mmseg - INFO - Iter [17900/160000] lr: 3.058e-05, eta: 1 day, 4:12:06, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4013, decode.acc_seg: 83.9967, aux.loss_ce: 0.2140, aux.acc_seg: 79.8832, loss: 0.6153 2024-03-04 13:35:39,960 - mmseg - INFO - Iter [17950/160000] lr: 3.057e-05, eta: 1 day, 4:11:20, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4418, decode.acc_seg: 83.2127, aux.loss_ce: 0.2386, aux.acc_seg: 78.5972, loss: 0.6803 2024-03-04 13:36:14,246 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 13:36:14,246 - mmseg - INFO - Iter [18000/160000] lr: 3.056e-05, eta: 1 day, 4:10:33, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4661, decode.acc_seg: 81.9776, aux.loss_ce: 0.2442, aux.acc_seg: 77.4363, loss: 0.7104 2024-03-04 13:36:48,656 - mmseg - INFO - Iter [18050/160000] lr: 3.055e-05, eta: 1 day, 4:09:47, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4238, decode.acc_seg: 83.7474, aux.loss_ce: 0.2287, aux.acc_seg: 79.2814, loss: 0.6525 2024-03-04 13:37:22,914 - mmseg - INFO - Iter [18100/160000] lr: 3.054e-05, eta: 1 day, 4:09:00, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4041, decode.acc_seg: 84.1024, aux.loss_ce: 0.2124, aux.acc_seg: 80.6250, loss: 0.6164 2024-03-04 13:37:57,304 - mmseg - INFO - Iter [18150/160000] lr: 3.053e-05, eta: 1 day, 4:08:14, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4151, decode.acc_seg: 83.9543, aux.loss_ce: 0.2232, aux.acc_seg: 79.8057, loss: 0.6383 2024-03-04 13:38:31,785 - mmseg - INFO - Iter [18200/160000] lr: 3.052e-05, eta: 1 day, 4:07:29, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4404, decode.acc_seg: 82.9385, aux.loss_ce: 0.2316, aux.acc_seg: 78.6029, loss: 0.6720 2024-03-04 13:39:06,195 - mmseg - INFO - Iter [18250/160000] lr: 3.051e-05, eta: 1 day, 4:06:43, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4237, decode.acc_seg: 83.4046, aux.loss_ce: 0.2189, aux.acc_seg: 79.7854, loss: 0.6425 2024-03-04 13:39:40,457 - mmseg - INFO - Iter [18300/160000] lr: 3.050e-05, eta: 1 day, 4:05:56, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4396, decode.acc_seg: 82.9708, aux.loss_ce: 0.2314, aux.acc_seg: 78.9262, loss: 0.6710 2024-03-04 13:40:14,965 - mmseg - INFO - Iter [18350/160000] lr: 3.049e-05, eta: 1 day, 4:05:11, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4531, decode.acc_seg: 82.5206, aux.loss_ce: 0.2320, aux.acc_seg: 78.7116, loss: 0.6851 2024-03-04 13:40:49,235 - mmseg - INFO - Iter [18400/160000] lr: 3.048e-05, eta: 1 day, 4:04:25, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4309, decode.acc_seg: 83.0568, aux.loss_ce: 0.2243, aux.acc_seg: 79.3564, loss: 0.6552 2024-03-04 13:41:23,616 - mmseg - INFO - Iter [18450/160000] lr: 3.047e-05, eta: 1 day, 4:03:39, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4337, decode.acc_seg: 83.2513, aux.loss_ce: 0.2246, aux.acc_seg: 79.6649, loss: 0.6583 2024-03-04 13:41:57,991 - mmseg - INFO - Iter [18500/160000] lr: 3.046e-05, eta: 1 day, 4:02:53, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4226, decode.acc_seg: 83.5446, aux.loss_ce: 0.2253, aux.acc_seg: 78.9515, loss: 0.6479 2024-03-04 13:42:32,468 - mmseg - INFO - Iter [18550/160000] lr: 3.045e-05, eta: 1 day, 4:02:08, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4520, decode.acc_seg: 82.4537, aux.loss_ce: 0.2357, aux.acc_seg: 78.3659, loss: 0.6877 2024-03-04 13:43:06,908 - mmseg - INFO - Iter [18600/160000] lr: 3.043e-05, eta: 1 day, 4:01:23, time: 0.689, data_time: 0.014, memory: 9361, decode.loss_ce: 0.4359, decode.acc_seg: 82.7542, aux.loss_ce: 0.2238, aux.acc_seg: 79.3792, loss: 0.6597 2024-03-04 13:43:41,268 - mmseg - INFO - Iter [18650/160000] lr: 3.042e-05, eta: 1 day, 4:00:38, time: 0.687, data_time: 0.011, memory: 9361, decode.loss_ce: 0.4492, decode.acc_seg: 82.6912, aux.loss_ce: 0.2323, aux.acc_seg: 78.7770, loss: 0.6815 2024-03-04 13:44:15,827 - mmseg - INFO - Iter [18700/160000] lr: 3.041e-05, eta: 1 day, 3:59:54, time: 0.691, data_time: 0.014, memory: 9361, decode.loss_ce: 0.4706, decode.acc_seg: 81.7089, aux.loss_ce: 0.2417, aux.acc_seg: 77.6308, loss: 0.7123 2024-03-04 13:44:50,212 - mmseg - INFO - Iter [18750/160000] lr: 3.040e-05, eta: 1 day, 3:59:08, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4464, decode.acc_seg: 82.5613, aux.loss_ce: 0.2366, aux.acc_seg: 78.0838, loss: 0.6830 2024-03-04 13:45:24,484 - mmseg - INFO - Iter [18800/160000] lr: 3.039e-05, eta: 1 day, 3:58:22, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4924, decode.acc_seg: 81.8234, aux.loss_ce: 0.2540, aux.acc_seg: 77.9595, loss: 0.7464 2024-03-04 13:45:58,964 - mmseg - INFO - Iter [18850/160000] lr: 3.038e-05, eta: 1 day, 3:57:38, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4626, decode.acc_seg: 82.2103, aux.loss_ce: 0.2378, aux.acc_seg: 77.8242, loss: 0.7004 2024-03-04 13:46:33,424 - mmseg - INFO - Iter [18900/160000] lr: 3.037e-05, eta: 1 day, 3:56:53, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4418, decode.acc_seg: 82.5757, aux.loss_ce: 0.2332, aux.acc_seg: 78.0849, loss: 0.6750 2024-03-04 13:47:10,772 - mmseg - INFO - Iter [18950/160000] lr: 3.036e-05, eta: 1 day, 3:56:30, time: 0.747, data_time: 0.061, memory: 9361, decode.loss_ce: 0.4548, decode.acc_seg: 82.4758, aux.loss_ce: 0.2332, aux.acc_seg: 78.8888, loss: 0.6879 2024-03-04 13:47:45,071 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 13:47:45,071 - mmseg - INFO - Iter [19000/160000] lr: 3.035e-05, eta: 1 day, 3:55:44, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4101, decode.acc_seg: 84.0734, aux.loss_ce: 0.2192, aux.acc_seg: 80.2912, loss: 0.6293 2024-03-04 13:48:19,523 - mmseg - INFO - Iter [19050/160000] lr: 3.034e-05, eta: 1 day, 3:55:00, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4171, decode.acc_seg: 83.5329, aux.loss_ce: 0.2195, aux.acc_seg: 79.5776, loss: 0.6366 2024-03-04 13:48:53,823 - mmseg - INFO - Iter [19100/160000] lr: 3.033e-05, eta: 1 day, 3:54:14, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3999, decode.acc_seg: 84.3253, aux.loss_ce: 0.2095, aux.acc_seg: 80.5267, loss: 0.6093 2024-03-04 13:49:28,081 - mmseg - INFO - Iter [19150/160000] lr: 3.032e-05, eta: 1 day, 3:53:28, time: 0.685, data_time: 0.011, memory: 9361, decode.loss_ce: 0.4349, decode.acc_seg: 83.2940, aux.loss_ce: 0.2381, aux.acc_seg: 78.2904, loss: 0.6730 2024-03-04 13:50:02,428 - mmseg - INFO - Iter [19200/160000] lr: 3.031e-05, eta: 1 day, 3:52:43, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4340, decode.acc_seg: 83.2063, aux.loss_ce: 0.2297, aux.acc_seg: 79.2291, loss: 0.6637 2024-03-04 13:50:36,760 - mmseg - INFO - Iter [19250/160000] lr: 3.029e-05, eta: 1 day, 3:51:58, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4137, decode.acc_seg: 84.0638, aux.loss_ce: 0.2271, aux.acc_seg: 79.5345, loss: 0.6408 2024-03-04 13:51:11,280 - mmseg - INFO - Iter [19300/160000] lr: 3.028e-05, eta: 1 day, 3:51:14, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4368, decode.acc_seg: 83.5302, aux.loss_ce: 0.2343, aux.acc_seg: 78.8847, loss: 0.6711 2024-03-04 13:51:45,754 - mmseg - INFO - Iter [19350/160000] lr: 3.027e-05, eta: 1 day, 3:50:30, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3892, decode.acc_seg: 84.6043, aux.loss_ce: 0.2137, aux.acc_seg: 80.4666, loss: 0.6029 2024-03-04 13:52:20,290 - mmseg - INFO - Iter [19400/160000] lr: 3.026e-05, eta: 1 day, 3:49:47, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3978, decode.acc_seg: 84.8699, aux.loss_ce: 0.2115, aux.acc_seg: 80.9011, loss: 0.6094 2024-03-04 13:52:54,724 - mmseg - INFO - Iter [19450/160000] lr: 3.025e-05, eta: 1 day, 3:49:02, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4391, decode.acc_seg: 83.1694, aux.loss_ce: 0.2291, aux.acc_seg: 79.2551, loss: 0.6682 2024-03-04 13:53:29,279 - mmseg - INFO - Iter [19500/160000] lr: 3.024e-05, eta: 1 day, 3:48:19, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3945, decode.acc_seg: 84.4329, aux.loss_ce: 0.2090, aux.acc_seg: 80.6845, loss: 0.6035 2024-03-04 13:54:03,744 - mmseg - INFO - Iter [19550/160000] lr: 3.023e-05, eta: 1 day, 3:47:35, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.4322, decode.acc_seg: 83.2211, aux.loss_ce: 0.2274, aux.acc_seg: 79.3217, loss: 0.6596 2024-03-04 13:54:38,282 - mmseg - INFO - Iter [19600/160000] lr: 3.022e-05, eta: 1 day, 3:46:52, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4248, decode.acc_seg: 83.2241, aux.loss_ce: 0.2200, aux.acc_seg: 79.3064, loss: 0.6448 2024-03-04 13:55:12,660 - mmseg - INFO - Iter [19650/160000] lr: 3.021e-05, eta: 1 day, 3:46:07, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4244, decode.acc_seg: 83.6070, aux.loss_ce: 0.2235, aux.acc_seg: 79.4745, loss: 0.6479 2024-03-04 13:55:47,070 - mmseg - INFO - Iter [19700/160000] lr: 3.020e-05, eta: 1 day, 3:45:23, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4030, decode.acc_seg: 84.0524, aux.loss_ce: 0.2097, aux.acc_seg: 80.4427, loss: 0.6127 2024-03-04 13:56:21,500 - mmseg - INFO - Iter [19750/160000] lr: 3.019e-05, eta: 1 day, 3:44:39, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4107, decode.acc_seg: 84.1515, aux.loss_ce: 0.2198, aux.acc_seg: 79.8652, loss: 0.6305 2024-03-04 13:56:56,030 - mmseg - INFO - Iter [19800/160000] lr: 3.018e-05, eta: 1 day, 3:43:56, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4252, decode.acc_seg: 83.2860, aux.loss_ce: 0.2246, aux.acc_seg: 79.4445, loss: 0.6498 2024-03-04 13:57:30,480 - mmseg - INFO - Iter [19850/160000] lr: 3.017e-05, eta: 1 day, 3:43:12, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4268, decode.acc_seg: 83.3678, aux.loss_ce: 0.2244, aux.acc_seg: 79.1511, loss: 0.6512 2024-03-04 13:58:04,989 - mmseg - INFO - Iter [19900/160000] lr: 3.015e-05, eta: 1 day, 3:42:29, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4303, decode.acc_seg: 82.9262, aux.loss_ce: 0.2277, aux.acc_seg: 79.0834, loss: 0.6580 2024-03-04 13:58:39,418 - mmseg - INFO - Iter [19950/160000] lr: 3.014e-05, eta: 1 day, 3:41:45, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.3998, decode.acc_seg: 84.2681, aux.loss_ce: 0.2123, aux.acc_seg: 80.1131, loss: 0.6122 2024-03-04 13:59:13,858 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 13:59:13,858 - mmseg - INFO - Iter [20000/160000] lr: 3.013e-05, eta: 1 day, 3:41:01, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4233, decode.acc_seg: 83.0762, aux.loss_ce: 0.2202, aux.acc_seg: 79.2368, loss: 0.6435 2024-03-04 13:59:48,135 - mmseg - INFO - Iter [20050/160000] lr: 3.012e-05, eta: 1 day, 3:40:16, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3993, decode.acc_seg: 84.4757, aux.loss_ce: 0.2159, aux.acc_seg: 80.2349, loss: 0.6152 2024-03-04 14:00:22,757 - mmseg - INFO - Iter [20100/160000] lr: 3.011e-05, eta: 1 day, 3:39:34, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4106, decode.acc_seg: 83.7952, aux.loss_ce: 0.2093, aux.acc_seg: 80.2751, loss: 0.6200 2024-03-04 14:00:57,244 - mmseg - INFO - Iter [20150/160000] lr: 3.010e-05, eta: 1 day, 3:38:51, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4530, decode.acc_seg: 82.4394, aux.loss_ce: 0.2326, aux.acc_seg: 78.9675, loss: 0.6856 2024-03-04 14:01:31,560 - mmseg - INFO - Iter [20200/160000] lr: 3.009e-05, eta: 1 day, 3:38:06, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4296, decode.acc_seg: 83.0290, aux.loss_ce: 0.2298, aux.acc_seg: 78.5727, loss: 0.6594 2024-03-04 14:02:09,081 - mmseg - INFO - Iter [20250/160000] lr: 3.008e-05, eta: 1 day, 3:37:44, time: 0.750, data_time: 0.066, memory: 9361, decode.loss_ce: 0.4019, decode.acc_seg: 83.5451, aux.loss_ce: 0.2117, aux.acc_seg: 79.2833, loss: 0.6136 2024-03-04 14:02:43,595 - mmseg - INFO - Iter [20300/160000] lr: 3.007e-05, eta: 1 day, 3:37:01, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4146, decode.acc_seg: 83.7550, aux.loss_ce: 0.2242, aux.acc_seg: 79.3952, loss: 0.6388 2024-03-04 14:03:17,892 - mmseg - INFO - Iter [20350/160000] lr: 3.006e-05, eta: 1 day, 3:36:17, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4145, decode.acc_seg: 83.9970, aux.loss_ce: 0.2172, aux.acc_seg: 80.4166, loss: 0.6318 2024-03-04 14:03:52,105 - mmseg - INFO - Iter [20400/160000] lr: 3.005e-05, eta: 1 day, 3:35:32, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3942, decode.acc_seg: 84.1977, aux.loss_ce: 0.2112, aux.acc_seg: 79.9716, loss: 0.6054 2024-03-04 14:04:26,291 - mmseg - INFO - Iter [20450/160000] lr: 3.004e-05, eta: 1 day, 3:34:47, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3848, decode.acc_seg: 84.9161, aux.loss_ce: 0.2053, aux.acc_seg: 80.7509, loss: 0.5901 2024-03-04 14:05:00,539 - mmseg - INFO - Iter [20500/160000] lr: 3.003e-05, eta: 1 day, 3:34:02, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4170, decode.acc_seg: 84.3147, aux.loss_ce: 0.2243, aux.acc_seg: 79.7167, loss: 0.6413 2024-03-04 14:05:34,882 - mmseg - INFO - Iter [20550/160000] lr: 3.001e-05, eta: 1 day, 3:33:18, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4326, decode.acc_seg: 83.4605, aux.loss_ce: 0.2298, aux.acc_seg: 79.4190, loss: 0.6624 2024-03-04 14:06:09,201 - mmseg - INFO - Iter [20600/160000] lr: 3.000e-05, eta: 1 day, 3:32:34, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3971, decode.acc_seg: 84.1018, aux.loss_ce: 0.2082, aux.acc_seg: 80.2913, loss: 0.6053 2024-03-04 14:06:43,664 - mmseg - INFO - Iter [20650/160000] lr: 2.999e-05, eta: 1 day, 3:31:51, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4188, decode.acc_seg: 83.8021, aux.loss_ce: 0.2221, aux.acc_seg: 79.8780, loss: 0.6409 2024-03-04 14:07:17,952 - mmseg - INFO - Iter [20700/160000] lr: 2.998e-05, eta: 1 day, 3:31:07, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4147, decode.acc_seg: 83.6178, aux.loss_ce: 0.2195, aux.acc_seg: 80.0289, loss: 0.6343 2024-03-04 14:07:52,376 - mmseg - INFO - Iter [20750/160000] lr: 2.997e-05, eta: 1 day, 3:30:24, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3887, decode.acc_seg: 84.6296, aux.loss_ce: 0.2090, aux.acc_seg: 80.6489, loss: 0.5977 2024-03-04 14:08:26,750 - mmseg - INFO - Iter [20800/160000] lr: 2.996e-05, eta: 1 day, 3:29:41, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4123, decode.acc_seg: 83.7026, aux.loss_ce: 0.2183, aux.acc_seg: 79.6419, loss: 0.6306 2024-03-04 14:09:01,281 - mmseg - INFO - Iter [20850/160000] lr: 2.995e-05, eta: 1 day, 3:28:58, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4226, decode.acc_seg: 83.4856, aux.loss_ce: 0.2191, aux.acc_seg: 80.3942, loss: 0.6417 2024-03-04 14:09:35,743 - mmseg - INFO - Iter [20900/160000] lr: 2.994e-05, eta: 1 day, 3:28:15, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.4164, decode.acc_seg: 83.5062, aux.loss_ce: 0.2177, aux.acc_seg: 79.6326, loss: 0.6341 2024-03-04 14:10:10,191 - mmseg - INFO - Iter [20950/160000] lr: 2.993e-05, eta: 1 day, 3:27:32, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4011, decode.acc_seg: 84.3717, aux.loss_ce: 0.2129, aux.acc_seg: 80.4186, loss: 0.6140 2024-03-04 14:10:44,775 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 14:10:44,776 - mmseg - INFO - Iter [21000/160000] lr: 2.992e-05, eta: 1 day, 3:26:51, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3909, decode.acc_seg: 84.6906, aux.loss_ce: 0.2084, aux.acc_seg: 80.5057, loss: 0.5993 2024-03-04 14:11:18,971 - mmseg - INFO - Iter [21050/160000] lr: 2.991e-05, eta: 1 day, 3:26:06, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4227, decode.acc_seg: 83.6680, aux.loss_ce: 0.2186, aux.acc_seg: 79.7524, loss: 0.6413 2024-03-04 14:11:53,406 - mmseg - INFO - Iter [21100/160000] lr: 2.990e-05, eta: 1 day, 3:25:23, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4345, decode.acc_seg: 83.5589, aux.loss_ce: 0.2303, aux.acc_seg: 79.2516, loss: 0.6648 2024-03-04 14:12:27,900 - mmseg - INFO - Iter [21150/160000] lr: 2.989e-05, eta: 1 day, 3:24:41, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4086, decode.acc_seg: 84.1827, aux.loss_ce: 0.2229, aux.acc_seg: 79.4766, loss: 0.6315 2024-03-04 14:13:02,299 - mmseg - INFO - Iter [21200/160000] lr: 2.987e-05, eta: 1 day, 3:23:58, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4092, decode.acc_seg: 83.6348, aux.loss_ce: 0.2210, aux.acc_seg: 79.3151, loss: 0.6302 2024-03-04 14:13:36,890 - mmseg - INFO - Iter [21250/160000] lr: 2.986e-05, eta: 1 day, 3:23:16, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4472, decode.acc_seg: 82.8093, aux.loss_ce: 0.2334, aux.acc_seg: 79.0427, loss: 0.6806 2024-03-04 14:14:11,181 - mmseg - INFO - Iter [21300/160000] lr: 2.985e-05, eta: 1 day, 3:22:33, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4252, decode.acc_seg: 83.7905, aux.loss_ce: 0.2165, aux.acc_seg: 80.3059, loss: 0.6418 2024-03-04 14:14:45,389 - mmseg - INFO - Iter [21350/160000] lr: 2.984e-05, eta: 1 day, 3:21:49, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4072, decode.acc_seg: 84.5906, aux.loss_ce: 0.2116, aux.acc_seg: 80.8043, loss: 0.6188 2024-03-04 14:15:19,697 - mmseg - INFO - Iter [21400/160000] lr: 2.983e-05, eta: 1 day, 3:21:05, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3855, decode.acc_seg: 84.2646, aux.loss_ce: 0.2029, aux.acc_seg: 80.7405, loss: 0.5884 2024-03-04 14:15:54,090 - mmseg - INFO - Iter [21450/160000] lr: 2.982e-05, eta: 1 day, 3:20:22, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4097, decode.acc_seg: 84.1658, aux.loss_ce: 0.2251, aux.acc_seg: 79.3550, loss: 0.6348 2024-03-04 14:16:31,453 - mmseg - INFO - Iter [21500/160000] lr: 2.981e-05, eta: 1 day, 3:19:59, time: 0.747, data_time: 0.057, memory: 9361, decode.loss_ce: 0.4220, decode.acc_seg: 83.4290, aux.loss_ce: 0.2207, aux.acc_seg: 79.5999, loss: 0.6427 2024-03-04 14:17:05,964 - mmseg - INFO - Iter [21550/160000] lr: 2.980e-05, eta: 1 day, 3:19:17, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4295, decode.acc_seg: 83.9871, aux.loss_ce: 0.2235, aux.acc_seg: 80.0566, loss: 0.6531 2024-03-04 14:17:40,520 - mmseg - INFO - Iter [21600/160000] lr: 2.979e-05, eta: 1 day, 3:18:35, time: 0.691, data_time: 0.011, memory: 9361, decode.loss_ce: 0.3994, decode.acc_seg: 83.9408, aux.loss_ce: 0.2140, aux.acc_seg: 79.9118, loss: 0.6134 2024-03-04 14:18:14,852 - mmseg - INFO - Iter [21650/160000] lr: 2.978e-05, eta: 1 day, 3:17:52, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3712, decode.acc_seg: 85.0820, aux.loss_ce: 0.1988, aux.acc_seg: 81.1813, loss: 0.5700 2024-03-04 14:18:49,435 - mmseg - INFO - Iter [21700/160000] lr: 2.977e-05, eta: 1 day, 3:17:10, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4053, decode.acc_seg: 84.0621, aux.loss_ce: 0.2212, aux.acc_seg: 79.1183, loss: 0.6265 2024-03-04 14:19:23,756 - mmseg - INFO - Iter [21750/160000] lr: 2.976e-05, eta: 1 day, 3:16:27, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3965, decode.acc_seg: 84.4927, aux.loss_ce: 0.2108, aux.acc_seg: 80.8025, loss: 0.6073 2024-03-04 14:19:57,959 - mmseg - INFO - Iter [21800/160000] lr: 2.975e-05, eta: 1 day, 3:15:43, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4081, decode.acc_seg: 83.9559, aux.loss_ce: 0.2191, aux.acc_seg: 79.8764, loss: 0.6273 2024-03-04 14:20:32,406 - mmseg - INFO - Iter [21850/160000] lr: 2.973e-05, eta: 1 day, 3:15:01, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3879, decode.acc_seg: 84.6798, aux.loss_ce: 0.2072, aux.acc_seg: 80.7947, loss: 0.5951 2024-03-04 14:21:06,845 - mmseg - INFO - Iter [21900/160000] lr: 2.972e-05, eta: 1 day, 3:14:19, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3957, decode.acc_seg: 84.6465, aux.loss_ce: 0.2165, aux.acc_seg: 79.7491, loss: 0.6122 2024-03-04 14:21:40,941 - mmseg - INFO - Iter [21950/160000] lr: 2.971e-05, eta: 1 day, 3:13:35, time: 0.682, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3790, decode.acc_seg: 85.2393, aux.loss_ce: 0.2087, aux.acc_seg: 80.9169, loss: 0.5877 2024-03-04 14:22:15,270 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 14:22:15,271 - mmseg - INFO - Iter [22000/160000] lr: 2.970e-05, eta: 1 day, 3:12:52, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3857, decode.acc_seg: 84.6457, aux.loss_ce: 0.2041, aux.acc_seg: 80.8588, loss: 0.5898 2024-03-04 14:22:49,755 - mmseg - INFO - Iter [22050/160000] lr: 2.969e-05, eta: 1 day, 3:12:10, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3865, decode.acc_seg: 84.5404, aux.loss_ce: 0.2071, aux.acc_seg: 80.3977, loss: 0.5936 2024-03-04 14:23:24,171 - mmseg - INFO - Iter [22100/160000] lr: 2.968e-05, eta: 1 day, 3:11:28, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4147, decode.acc_seg: 83.9615, aux.loss_ce: 0.2126, aux.acc_seg: 80.4795, loss: 0.6273 2024-03-04 14:23:58,520 - mmseg - INFO - Iter [22150/160000] lr: 2.967e-05, eta: 1 day, 3:10:45, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.4039, decode.acc_seg: 84.2570, aux.loss_ce: 0.2217, aux.acc_seg: 79.9097, loss: 0.6257 2024-03-04 14:24:32,904 - mmseg - INFO - Iter [22200/160000] lr: 2.966e-05, eta: 1 day, 3:10:03, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3995, decode.acc_seg: 84.1646, aux.loss_ce: 0.2067, aux.acc_seg: 80.5059, loss: 0.6062 2024-03-04 14:25:07,319 - mmseg - INFO - Iter [22250/160000] lr: 2.965e-05, eta: 1 day, 3:09:21, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4008, decode.acc_seg: 84.2768, aux.loss_ce: 0.2157, aux.acc_seg: 80.1741, loss: 0.6164 2024-03-04 14:25:41,647 - mmseg - INFO - Iter [22300/160000] lr: 2.964e-05, eta: 1 day, 3:08:38, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3951, decode.acc_seg: 84.7102, aux.loss_ce: 0.2144, aux.acc_seg: 80.4553, loss: 0.6095 2024-03-04 14:26:16,251 - mmseg - INFO - Iter [22350/160000] lr: 2.963e-05, eta: 1 day, 3:07:57, time: 0.692, data_time: 0.012, memory: 9361, decode.loss_ce: 0.4057, decode.acc_seg: 83.4518, aux.loss_ce: 0.2176, aux.acc_seg: 79.3918, loss: 0.6233 2024-03-04 14:26:50,404 - mmseg - INFO - Iter [22400/160000] lr: 2.962e-05, eta: 1 day, 3:07:13, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3992, decode.acc_seg: 84.4154, aux.loss_ce: 0.2173, aux.acc_seg: 80.1041, loss: 0.6165 2024-03-04 14:27:24,621 - mmseg - INFO - Iter [22450/160000] lr: 2.961e-05, eta: 1 day, 3:06:30, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3985, decode.acc_seg: 84.8299, aux.loss_ce: 0.2128, aux.acc_seg: 80.7143, loss: 0.6113 2024-03-04 14:27:59,212 - mmseg - INFO - Iter [22500/160000] lr: 2.959e-05, eta: 1 day, 3:05:49, time: 0.692, data_time: 0.011, memory: 9361, decode.loss_ce: 0.3913, decode.acc_seg: 84.4449, aux.loss_ce: 0.2127, aux.acc_seg: 79.8403, loss: 0.6040 2024-03-04 14:28:33,719 - mmseg - INFO - Iter [22550/160000] lr: 2.958e-05, eta: 1 day, 3:05:08, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4163, decode.acc_seg: 84.0474, aux.loss_ce: 0.2267, aux.acc_seg: 79.8557, loss: 0.6430 2024-03-04 14:29:08,010 - mmseg - INFO - Iter [22600/160000] lr: 2.957e-05, eta: 1 day, 3:04:25, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3751, decode.acc_seg: 85.0866, aux.loss_ce: 0.2008, aux.acc_seg: 81.3170, loss: 0.5760 2024-03-04 14:29:42,346 - mmseg - INFO - Iter [22650/160000] lr: 2.956e-05, eta: 1 day, 3:03:43, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3952, decode.acc_seg: 84.6168, aux.loss_ce: 0.2086, aux.acc_seg: 80.7422, loss: 0.6039 2024-03-04 14:30:16,752 - mmseg - INFO - Iter [22700/160000] lr: 2.955e-05, eta: 1 day, 3:03:01, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3888, decode.acc_seg: 84.4310, aux.loss_ce: 0.2065, aux.acc_seg: 80.5615, loss: 0.5953 2024-03-04 14:30:54,128 - mmseg - INFO - Iter [22750/160000] lr: 2.954e-05, eta: 1 day, 3:02:37, time: 0.748, data_time: 0.061, memory: 9361, decode.loss_ce: 0.3887, decode.acc_seg: 84.7948, aux.loss_ce: 0.2091, aux.acc_seg: 80.2975, loss: 0.5978 2024-03-04 14:31:28,524 - mmseg - INFO - Iter [22800/160000] lr: 2.953e-05, eta: 1 day, 3:01:55, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3618, decode.acc_seg: 85.7302, aux.loss_ce: 0.1986, aux.acc_seg: 81.3824, loss: 0.5603 2024-03-04 14:32:02,970 - mmseg - INFO - Iter [22850/160000] lr: 2.952e-05, eta: 1 day, 3:01:14, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3884, decode.acc_seg: 84.5984, aux.loss_ce: 0.2126, aux.acc_seg: 80.3544, loss: 0.6010 2024-03-04 14:32:37,173 - mmseg - INFO - Iter [22900/160000] lr: 2.951e-05, eta: 1 day, 3:00:31, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3697, decode.acc_seg: 84.8765, aux.loss_ce: 0.2043, aux.acc_seg: 80.5514, loss: 0.5741 2024-03-04 14:33:11,384 - mmseg - INFO - Iter [22950/160000] lr: 2.950e-05, eta: 1 day, 2:59:48, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3590, decode.acc_seg: 85.5392, aux.loss_ce: 0.1913, aux.acc_seg: 82.2478, loss: 0.5502 2024-03-04 14:33:45,657 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 14:33:45,658 - mmseg - INFO - Iter [23000/160000] lr: 2.949e-05, eta: 1 day, 2:59:05, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3872, decode.acc_seg: 84.6904, aux.loss_ce: 0.2082, aux.acc_seg: 80.4209, loss: 0.5954 2024-03-04 14:34:20,118 - mmseg - INFO - Iter [23050/160000] lr: 2.948e-05, eta: 1 day, 2:58:24, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3738, decode.acc_seg: 85.0154, aux.loss_ce: 0.2058, aux.acc_seg: 80.9028, loss: 0.5795 2024-03-04 14:34:54,458 - mmseg - INFO - Iter [23100/160000] lr: 2.947e-05, eta: 1 day, 2:57:42, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3736, decode.acc_seg: 85.6515, aux.loss_ce: 0.1977, aux.acc_seg: 81.8190, loss: 0.5713 2024-03-04 14:35:29,157 - mmseg - INFO - Iter [23150/160000] lr: 2.945e-05, eta: 1 day, 2:57:02, time: 0.694, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3871, decode.acc_seg: 84.7510, aux.loss_ce: 0.2095, aux.acc_seg: 80.7844, loss: 0.5966 2024-03-04 14:36:03,542 - mmseg - INFO - Iter [23200/160000] lr: 2.944e-05, eta: 1 day, 2:56:20, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3941, decode.acc_seg: 84.5119, aux.loss_ce: 0.2087, aux.acc_seg: 80.7290, loss: 0.6027 2024-03-04 14:36:37,916 - mmseg - INFO - Iter [23250/160000] lr: 2.943e-05, eta: 1 day, 2:55:39, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3892, decode.acc_seg: 84.7857, aux.loss_ce: 0.2117, aux.acc_seg: 80.4752, loss: 0.6009 2024-03-04 14:37:12,393 - mmseg - INFO - Iter [23300/160000] lr: 2.942e-05, eta: 1 day, 2:54:57, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3677, decode.acc_seg: 85.4005, aux.loss_ce: 0.2023, aux.acc_seg: 81.0752, loss: 0.5700 2024-03-04 14:37:46,784 - mmseg - INFO - Iter [23350/160000] lr: 2.941e-05, eta: 1 day, 2:54:16, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3842, decode.acc_seg: 84.2574, aux.loss_ce: 0.2034, aux.acc_seg: 80.3317, loss: 0.5876 2024-03-04 14:38:21,267 - mmseg - INFO - Iter [23400/160000] lr: 2.940e-05, eta: 1 day, 2:53:35, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.4110, decode.acc_seg: 83.8193, aux.loss_ce: 0.2244, aux.acc_seg: 79.4161, loss: 0.6354 2024-03-04 14:38:55,640 - mmseg - INFO - Iter [23450/160000] lr: 2.939e-05, eta: 1 day, 2:52:53, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3928, decode.acc_seg: 84.5577, aux.loss_ce: 0.2176, aux.acc_seg: 79.4591, loss: 0.6104 2024-03-04 14:39:30,120 - mmseg - INFO - Iter [23500/160000] lr: 2.938e-05, eta: 1 day, 2:52:12, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4016, decode.acc_seg: 84.3952, aux.loss_ce: 0.2186, aux.acc_seg: 79.6532, loss: 0.6202 2024-03-04 14:40:04,350 - mmseg - INFO - Iter [23550/160000] lr: 2.937e-05, eta: 1 day, 2:51:30, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3816, decode.acc_seg: 85.0723, aux.loss_ce: 0.2025, aux.acc_seg: 81.0455, loss: 0.5840 2024-03-04 14:40:38,697 - mmseg - INFO - Iter [23600/160000] lr: 2.936e-05, eta: 1 day, 2:50:48, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4056, decode.acc_seg: 84.2666, aux.loss_ce: 0.2160, aux.acc_seg: 80.0627, loss: 0.6217 2024-03-04 14:41:12,993 - mmseg - INFO - Iter [23650/160000] lr: 2.935e-05, eta: 1 day, 2:50:06, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3723, decode.acc_seg: 85.0532, aux.loss_ce: 0.2057, aux.acc_seg: 80.5080, loss: 0.5780 2024-03-04 14:41:47,378 - mmseg - INFO - Iter [23700/160000] lr: 2.934e-05, eta: 1 day, 2:49:25, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3930, decode.acc_seg: 84.0126, aux.loss_ce: 0.2075, aux.acc_seg: 80.5722, loss: 0.6005 2024-03-04 14:42:22,022 - mmseg - INFO - Iter [23750/160000] lr: 2.933e-05, eta: 1 day, 2:48:45, time: 0.693, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3761, decode.acc_seg: 85.1368, aux.loss_ce: 0.2012, aux.acc_seg: 80.8302, loss: 0.5773 2024-03-04 14:42:56,404 - mmseg - INFO - Iter [23800/160000] lr: 2.932e-05, eta: 1 day, 2:48:03, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4087, decode.acc_seg: 83.8677, aux.loss_ce: 0.2168, aux.acc_seg: 79.9603, loss: 0.6255 2024-03-04 14:43:31,039 - mmseg - INFO - Iter [23850/160000] lr: 2.930e-05, eta: 1 day, 2:47:24, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4052, decode.acc_seg: 84.3237, aux.loss_ce: 0.2178, aux.acc_seg: 79.6943, loss: 0.6230 2024-03-04 14:44:05,483 - mmseg - INFO - Iter [23900/160000] lr: 2.929e-05, eta: 1 day, 2:46:43, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3987, decode.acc_seg: 84.5032, aux.loss_ce: 0.2143, aux.acc_seg: 80.4276, loss: 0.6130 2024-03-04 14:44:39,672 - mmseg - INFO - Iter [23950/160000] lr: 2.928e-05, eta: 1 day, 2:46:00, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3900, decode.acc_seg: 84.3874, aux.loss_ce: 0.2113, aux.acc_seg: 79.9896, loss: 0.6013 2024-03-04 14:45:16,942 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 14:45:16,943 - mmseg - INFO - Iter [24000/160000] lr: 2.927e-05, eta: 1 day, 2:45:35, time: 0.745, data_time: 0.055, memory: 9361, decode.loss_ce: 0.3957, decode.acc_seg: 84.1260, aux.loss_ce: 0.2099, aux.acc_seg: 79.9478, loss: 0.6056 2024-03-04 14:45:51,378 - mmseg - INFO - Iter [24050/160000] lr: 2.926e-05, eta: 1 day, 2:44:54, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3499, decode.acc_seg: 86.0805, aux.loss_ce: 0.1923, aux.acc_seg: 82.3512, loss: 0.5422 2024-03-04 14:46:25,537 - mmseg - INFO - Iter [24100/160000] lr: 2.925e-05, eta: 1 day, 2:44:12, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3554, decode.acc_seg: 85.5351, aux.loss_ce: 0.1943, aux.acc_seg: 81.2363, loss: 0.5497 2024-03-04 14:46:59,644 - mmseg - INFO - Iter [24150/160000] lr: 2.924e-05, eta: 1 day, 2:43:29, time: 0.682, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3510, decode.acc_seg: 85.7084, aux.loss_ce: 0.1932, aux.acc_seg: 81.5430, loss: 0.5442 2024-03-04 14:47:34,093 - mmseg - INFO - Iter [24200/160000] lr: 2.923e-05, eta: 1 day, 2:42:48, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3553, decode.acc_seg: 85.7302, aux.loss_ce: 0.1962, aux.acc_seg: 81.2794, loss: 0.5515 2024-03-04 14:48:08,406 - mmseg - INFO - Iter [24250/160000] lr: 2.922e-05, eta: 1 day, 2:42:07, time: 0.686, data_time: 0.011, memory: 9361, decode.loss_ce: 0.3827, decode.acc_seg: 85.2408, aux.loss_ce: 0.2123, aux.acc_seg: 80.7150, loss: 0.5950 2024-03-04 14:48:42,688 - mmseg - INFO - Iter [24300/160000] lr: 2.921e-05, eta: 1 day, 2:41:25, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3660, decode.acc_seg: 85.6156, aux.loss_ce: 0.2041, aux.acc_seg: 81.3436, loss: 0.5701 2024-03-04 14:49:16,850 - mmseg - INFO - Iter [24350/160000] lr: 2.920e-05, eta: 1 day, 2:40:43, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3648, decode.acc_seg: 85.3581, aux.loss_ce: 0.1997, aux.acc_seg: 81.1216, loss: 0.5645 2024-03-04 14:49:51,225 - mmseg - INFO - Iter [24400/160000] lr: 2.919e-05, eta: 1 day, 2:40:02, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3863, decode.acc_seg: 85.2044, aux.loss_ce: 0.2022, aux.acc_seg: 81.9039, loss: 0.5885 2024-03-04 14:50:25,477 - mmseg - INFO - Iter [24450/160000] lr: 2.918e-05, eta: 1 day, 2:39:20, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3780, decode.acc_seg: 84.5940, aux.loss_ce: 0.2011, aux.acc_seg: 80.5520, loss: 0.5791 2024-03-04 14:50:59,703 - mmseg - INFO - Iter [24500/160000] lr: 2.916e-05, eta: 1 day, 2:38:38, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3768, decode.acc_seg: 85.1836, aux.loss_ce: 0.2092, aux.acc_seg: 80.7496, loss: 0.5860 2024-03-04 14:51:33,997 - mmseg - INFO - Iter [24550/160000] lr: 2.915e-05, eta: 1 day, 2:37:56, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3733, decode.acc_seg: 84.9180, aux.loss_ce: 0.1972, aux.acc_seg: 81.5506, loss: 0.5705 2024-03-04 14:52:08,424 - mmseg - INFO - Iter [24600/160000] lr: 2.914e-05, eta: 1 day, 2:37:16, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3838, decode.acc_seg: 84.7162, aux.loss_ce: 0.2028, aux.acc_seg: 80.7928, loss: 0.5866 2024-03-04 14:52:42,620 - mmseg - INFO - Iter [24650/160000] lr: 2.913e-05, eta: 1 day, 2:36:34, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3761, decode.acc_seg: 85.6559, aux.loss_ce: 0.2033, aux.acc_seg: 81.2358, loss: 0.5794 2024-03-04 14:53:16,835 - mmseg - INFO - Iter [24700/160000] lr: 2.912e-05, eta: 1 day, 2:35:52, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3548, decode.acc_seg: 85.7411, aux.loss_ce: 0.1892, aux.acc_seg: 81.8982, loss: 0.5440 2024-03-04 14:53:50,985 - mmseg - INFO - Iter [24750/160000] lr: 2.911e-05, eta: 1 day, 2:35:10, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3571, decode.acc_seg: 85.9454, aux.loss_ce: 0.1947, aux.acc_seg: 81.9610, loss: 0.5518 2024-03-04 14:54:25,482 - mmseg - INFO - Iter [24800/160000] lr: 2.910e-05, eta: 1 day, 2:34:30, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3884, decode.acc_seg: 85.0538, aux.loss_ce: 0.2063, aux.acc_seg: 80.6665, loss: 0.5947 2024-03-04 14:54:59,996 - mmseg - INFO - Iter [24850/160000] lr: 2.909e-05, eta: 1 day, 2:33:50, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4008, decode.acc_seg: 84.0882, aux.loss_ce: 0.2175, aux.acc_seg: 79.9097, loss: 0.6182 2024-03-04 14:55:34,433 - mmseg - INFO - Iter [24900/160000] lr: 2.908e-05, eta: 1 day, 2:33:09, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.4091, decode.acc_seg: 84.1303, aux.loss_ce: 0.2181, aux.acc_seg: 80.0094, loss: 0.6272 2024-03-04 14:56:08,589 - mmseg - INFO - Iter [24950/160000] lr: 2.907e-05, eta: 1 day, 2:32:27, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3905, decode.acc_seg: 84.0585, aux.loss_ce: 0.2028, aux.acc_seg: 80.7265, loss: 0.5933 2024-03-04 14:56:42,939 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 14:56:42,939 - mmseg - INFO - Iter [25000/160000] lr: 2.906e-05, eta: 1 day, 2:31:46, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3988, decode.acc_seg: 83.9518, aux.loss_ce: 0.2154, aux.acc_seg: 79.9687, loss: 0.6142 2024-03-04 14:57:17,457 - mmseg - INFO - Iter [25050/160000] lr: 2.905e-05, eta: 1 day, 2:31:06, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3890, decode.acc_seg: 84.3121, aux.loss_ce: 0.2109, aux.acc_seg: 80.3542, loss: 0.5999 2024-03-04 14:57:51,905 - mmseg - INFO - Iter [25100/160000] lr: 2.904e-05, eta: 1 day, 2:30:26, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3697, decode.acc_seg: 85.1364, aux.loss_ce: 0.1968, aux.acc_seg: 81.2234, loss: 0.5665 2024-03-04 14:58:26,165 - mmseg - INFO - Iter [25150/160000] lr: 2.902e-05, eta: 1 day, 2:29:45, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3937, decode.acc_seg: 84.4174, aux.loss_ce: 0.2113, aux.acc_seg: 80.3082, loss: 0.6050 2024-03-04 14:59:00,686 - mmseg - INFO - Iter [25200/160000] lr: 2.901e-05, eta: 1 day, 2:29:05, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3631, decode.acc_seg: 85.4935, aux.loss_ce: 0.1938, aux.acc_seg: 81.9090, loss: 0.5569 2024-03-04 14:59:35,088 - mmseg - INFO - Iter [25250/160000] lr: 2.900e-05, eta: 1 day, 2:28:24, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3799, decode.acc_seg: 85.1403, aux.loss_ce: 0.2042, aux.acc_seg: 80.9704, loss: 0.5841 2024-03-04 15:00:12,551 - mmseg - INFO - Iter [25300/160000] lr: 2.899e-05, eta: 1 day, 2:28:00, time: 0.749, data_time: 0.052, memory: 9361, decode.loss_ce: 0.3716, decode.acc_seg: 85.3979, aux.loss_ce: 0.2021, aux.acc_seg: 81.4410, loss: 0.5737 2024-03-04 15:00:46,771 - mmseg - INFO - Iter [25350/160000] lr: 2.898e-05, eta: 1 day, 2:27:18, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3553, decode.acc_seg: 85.7379, aux.loss_ce: 0.1995, aux.acc_seg: 81.5491, loss: 0.5549 2024-03-04 15:01:21,066 - mmseg - INFO - Iter [25400/160000] lr: 2.897e-05, eta: 1 day, 2:26:37, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3649, decode.acc_seg: 85.3894, aux.loss_ce: 0.2014, aux.acc_seg: 80.8465, loss: 0.5663 2024-03-04 15:01:55,240 - mmseg - INFO - Iter [25450/160000] lr: 2.896e-05, eta: 1 day, 2:25:56, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3547, decode.acc_seg: 85.9781, aux.loss_ce: 0.1921, aux.acc_seg: 82.2165, loss: 0.5468 2024-03-04 15:02:29,324 - mmseg - INFO - Iter [25500/160000] lr: 2.895e-05, eta: 1 day, 2:25:14, time: 0.682, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3766, decode.acc_seg: 85.4854, aux.loss_ce: 0.2042, aux.acc_seg: 81.6600, loss: 0.5808 2024-03-04 15:03:03,586 - mmseg - INFO - Iter [25550/160000] lr: 2.894e-05, eta: 1 day, 2:24:33, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3519, decode.acc_seg: 85.8105, aux.loss_ce: 0.1958, aux.acc_seg: 81.4056, loss: 0.5477 2024-03-04 15:03:37,947 - mmseg - INFO - Iter [25600/160000] lr: 2.893e-05, eta: 1 day, 2:23:52, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3454, decode.acc_seg: 86.3617, aux.loss_ce: 0.1915, aux.acc_seg: 81.9324, loss: 0.5369 2024-03-04 15:04:12,663 - mmseg - INFO - Iter [25650/160000] lr: 2.892e-05, eta: 1 day, 2:23:13, time: 0.694, data_time: 0.012, memory: 9361, decode.loss_ce: 0.3738, decode.acc_seg: 84.9740, aux.loss_ce: 0.2022, aux.acc_seg: 81.1967, loss: 0.5760 2024-03-04 15:04:46,911 - mmseg - INFO - Iter [25700/160000] lr: 2.891e-05, eta: 1 day, 2:22:32, time: 0.685, data_time: 0.011, memory: 9361, decode.loss_ce: 0.3690, decode.acc_seg: 85.5119, aux.loss_ce: 0.2054, aux.acc_seg: 81.1220, loss: 0.5744 2024-03-04 15:05:21,347 - mmseg - INFO - Iter [25750/160000] lr: 2.890e-05, eta: 1 day, 2:21:52, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.3512, decode.acc_seg: 86.2561, aux.loss_ce: 0.1938, aux.acc_seg: 81.9319, loss: 0.5451 2024-03-04 15:05:55,828 - mmseg - INFO - Iter [25800/160000] lr: 2.888e-05, eta: 1 day, 2:21:12, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.3649, decode.acc_seg: 85.5720, aux.loss_ce: 0.1984, aux.acc_seg: 81.1628, loss: 0.5633 2024-03-04 15:06:29,969 - mmseg - INFO - Iter [25850/160000] lr: 2.887e-05, eta: 1 day, 2:20:31, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3691, decode.acc_seg: 85.3357, aux.loss_ce: 0.1966, aux.acc_seg: 81.7767, loss: 0.5657 2024-03-04 15:07:04,280 - mmseg - INFO - Iter [25900/160000] lr: 2.886e-05, eta: 1 day, 2:19:50, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3634, decode.acc_seg: 85.4091, aux.loss_ce: 0.2004, aux.acc_seg: 81.1074, loss: 0.5638 2024-03-04 15:07:38,611 - mmseg - INFO - Iter [25950/160000] lr: 2.885e-05, eta: 1 day, 2:19:09, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3646, decode.acc_seg: 85.3242, aux.loss_ce: 0.2024, aux.acc_seg: 80.9180, loss: 0.5670 2024-03-04 15:08:12,930 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 15:08:12,930 - mmseg - INFO - Iter [26000/160000] lr: 2.884e-05, eta: 1 day, 2:18:29, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3670, decode.acc_seg: 85.3448, aux.loss_ce: 0.2072, aux.acc_seg: 80.9518, loss: 0.5742 2024-03-04 15:08:47,381 - mmseg - INFO - Iter [26050/160000] lr: 2.883e-05, eta: 1 day, 2:17:49, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3802, decode.acc_seg: 85.0153, aux.loss_ce: 0.2067, aux.acc_seg: 80.2362, loss: 0.5869 2024-03-04 15:09:21,649 - mmseg - INFO - Iter [26100/160000] lr: 2.882e-05, eta: 1 day, 2:17:08, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3697, decode.acc_seg: 85.6181, aux.loss_ce: 0.1937, aux.acc_seg: 82.1630, loss: 0.5634 2024-03-04 15:09:55,815 - mmseg - INFO - Iter [26150/160000] lr: 2.881e-05, eta: 1 day, 2:16:27, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3832, decode.acc_seg: 84.8236, aux.loss_ce: 0.2046, aux.acc_seg: 80.8583, loss: 0.5878 2024-03-04 15:10:30,190 - mmseg - INFO - Iter [26200/160000] lr: 2.880e-05, eta: 1 day, 2:15:46, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3813, decode.acc_seg: 84.9706, aux.loss_ce: 0.1986, aux.acc_seg: 81.1197, loss: 0.5798 2024-03-04 15:11:04,701 - mmseg - INFO - Iter [26250/160000] lr: 2.879e-05, eta: 1 day, 2:15:07, time: 0.690, data_time: 0.013, memory: 9361, decode.loss_ce: 0.3749, decode.acc_seg: 85.3130, aux.loss_ce: 0.2013, aux.acc_seg: 81.5703, loss: 0.5762 2024-03-04 15:11:39,254 - mmseg - INFO - Iter [26300/160000] lr: 2.878e-05, eta: 1 day, 2:14:28, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3539, decode.acc_seg: 86.1631, aux.loss_ce: 0.1913, aux.acc_seg: 82.0534, loss: 0.5452 2024-03-04 15:12:13,441 - mmseg - INFO - Iter [26350/160000] lr: 2.877e-05, eta: 1 day, 2:13:46, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3512, decode.acc_seg: 85.9362, aux.loss_ce: 0.1914, aux.acc_seg: 81.7019, loss: 0.5426 2024-03-04 15:12:47,792 - mmseg - INFO - Iter [26400/160000] lr: 2.876e-05, eta: 1 day, 2:13:06, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3571, decode.acc_seg: 85.3159, aux.loss_ce: 0.1919, aux.acc_seg: 81.9628, loss: 0.5490 2024-03-04 15:13:22,141 - mmseg - INFO - Iter [26450/160000] lr: 2.874e-05, eta: 1 day, 2:12:26, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3959, decode.acc_seg: 84.1096, aux.loss_ce: 0.2122, aux.acc_seg: 79.8170, loss: 0.6080 2024-03-04 15:13:56,385 - mmseg - INFO - Iter [26500/160000] lr: 2.873e-05, eta: 1 day, 2:11:45, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3746, decode.acc_seg: 85.3172, aux.loss_ce: 0.2027, aux.acc_seg: 80.7081, loss: 0.5772 2024-03-04 15:14:33,505 - mmseg - INFO - Iter [26550/160000] lr: 2.872e-05, eta: 1 day, 2:11:19, time: 0.742, data_time: 0.062, memory: 9361, decode.loss_ce: 0.3577, decode.acc_seg: 85.7989, aux.loss_ce: 0.1935, aux.acc_seg: 81.7748, loss: 0.5512 2024-03-04 15:15:07,873 - mmseg - INFO - Iter [26600/160000] lr: 2.871e-05, eta: 1 day, 2:10:39, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3571, decode.acc_seg: 85.8137, aux.loss_ce: 0.1971, aux.acc_seg: 81.1607, loss: 0.5542 2024-03-04 15:15:42,237 - mmseg - INFO - Iter [26650/160000] lr: 2.870e-05, eta: 1 day, 2:09:59, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3466, decode.acc_seg: 85.8496, aux.loss_ce: 0.1875, aux.acc_seg: 81.8118, loss: 0.5340 2024-03-04 15:16:16,521 - mmseg - INFO - Iter [26700/160000] lr: 2.869e-05, eta: 1 day, 2:09:18, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3660, decode.acc_seg: 85.2903, aux.loss_ce: 0.2028, aux.acc_seg: 80.6099, loss: 0.5688 2024-03-04 15:16:51,092 - mmseg - INFO - Iter [26750/160000] lr: 2.868e-05, eta: 1 day, 2:08:39, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3283, decode.acc_seg: 86.7158, aux.loss_ce: 0.1858, aux.acc_seg: 82.6225, loss: 0.5141 2024-03-04 15:17:25,461 - mmseg - INFO - Iter [26800/160000] lr: 2.867e-05, eta: 1 day, 2:07:59, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3435, decode.acc_seg: 86.1418, aux.loss_ce: 0.1907, aux.acc_seg: 81.6518, loss: 0.5342 2024-03-04 15:17:59,663 - mmseg - INFO - Iter [26850/160000] lr: 2.866e-05, eta: 1 day, 2:07:18, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3509, decode.acc_seg: 86.0734, aux.loss_ce: 0.1956, aux.acc_seg: 81.7528, loss: 0.5465 2024-03-04 15:18:33,798 - mmseg - INFO - Iter [26900/160000] lr: 2.865e-05, eta: 1 day, 2:06:37, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3458, decode.acc_seg: 86.3732, aux.loss_ce: 0.1905, aux.acc_seg: 82.0881, loss: 0.5363 2024-03-04 15:19:08,097 - mmseg - INFO - Iter [26950/160000] lr: 2.864e-05, eta: 1 day, 2:05:57, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3703, decode.acc_seg: 85.3770, aux.loss_ce: 0.2023, aux.acc_seg: 81.0122, loss: 0.5727 2024-03-04 15:19:42,484 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 15:19:42,484 - mmseg - INFO - Iter [27000/160000] lr: 2.863e-05, eta: 1 day, 2:05:17, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3569, decode.acc_seg: 85.8328, aux.loss_ce: 0.1964, aux.acc_seg: 81.4381, loss: 0.5534 2024-03-04 15:20:17,023 - mmseg - INFO - Iter [27050/160000] lr: 2.862e-05, eta: 1 day, 2:04:38, time: 0.691, data_time: 0.011, memory: 9361, decode.loss_ce: 0.3647, decode.acc_seg: 85.7122, aux.loss_ce: 0.1976, aux.acc_seg: 80.9972, loss: 0.5623 2024-03-04 15:20:51,396 - mmseg - INFO - Iter [27100/160000] lr: 2.860e-05, eta: 1 day, 2:03:58, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3833, decode.acc_seg: 84.8461, aux.loss_ce: 0.2080, aux.acc_seg: 80.5922, loss: 0.5913 2024-03-04 15:21:25,619 - mmseg - INFO - Iter [27150/160000] lr: 2.859e-05, eta: 1 day, 2:03:17, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3848, decode.acc_seg: 85.0820, aux.loss_ce: 0.2162, aux.acc_seg: 80.1772, loss: 0.6011 2024-03-04 15:22:00,157 - mmseg - INFO - Iter [27200/160000] lr: 2.858e-05, eta: 1 day, 2:02:38, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3487, decode.acc_seg: 85.9414, aux.loss_ce: 0.1881, aux.acc_seg: 81.9473, loss: 0.5368 2024-03-04 15:22:34,538 - mmseg - INFO - Iter [27250/160000] lr: 2.857e-05, eta: 1 day, 2:01:59, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3688, decode.acc_seg: 85.7398, aux.loss_ce: 0.1984, aux.acc_seg: 81.6359, loss: 0.5673 2024-03-04 15:23:08,764 - mmseg - INFO - Iter [27300/160000] lr: 2.856e-05, eta: 1 day, 2:01:18, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3447, decode.acc_seg: 86.1954, aux.loss_ce: 0.1833, aux.acc_seg: 82.4986, loss: 0.5280 2024-03-04 15:23:43,209 - mmseg - INFO - Iter [27350/160000] lr: 2.855e-05, eta: 1 day, 2:00:39, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.3808, decode.acc_seg: 84.9909, aux.loss_ce: 0.2005, aux.acc_seg: 81.5177, loss: 0.5813 2024-03-04 15:24:17,490 - mmseg - INFO - Iter [27400/160000] lr: 2.854e-05, eta: 1 day, 1:59:58, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3590, decode.acc_seg: 85.8599, aux.loss_ce: 0.1954, aux.acc_seg: 81.7153, loss: 0.5544 2024-03-04 15:24:51,856 - mmseg - INFO - Iter [27450/160000] lr: 2.853e-05, eta: 1 day, 1:59:19, time: 0.687, data_time: 0.011, memory: 9361, decode.loss_ce: 0.3556, decode.acc_seg: 85.7733, aux.loss_ce: 0.1956, aux.acc_seg: 81.5568, loss: 0.5513 2024-03-04 15:25:26,208 - mmseg - INFO - Iter [27500/160000] lr: 2.852e-05, eta: 1 day, 1:58:39, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3681, decode.acc_seg: 85.3091, aux.loss_ce: 0.1986, aux.acc_seg: 81.2622, loss: 0.5668 2024-03-04 15:26:00,543 - mmseg - INFO - Iter [27550/160000] lr: 2.851e-05, eta: 1 day, 1:57:59, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3512, decode.acc_seg: 85.9744, aux.loss_ce: 0.1881, aux.acc_seg: 82.3481, loss: 0.5394 2024-03-04 15:26:34,914 - mmseg - INFO - Iter [27600/160000] lr: 2.850e-05, eta: 1 day, 1:57:19, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3895, decode.acc_seg: 84.7288, aux.loss_ce: 0.2100, aux.acc_seg: 80.7668, loss: 0.5995 2024-03-04 15:27:09,202 - mmseg - INFO - Iter [27650/160000] lr: 2.849e-05, eta: 1 day, 1:56:39, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3494, decode.acc_seg: 85.9662, aux.loss_ce: 0.1950, aux.acc_seg: 81.4099, loss: 0.5444 2024-03-04 15:27:43,704 - mmseg - INFO - Iter [27700/160000] lr: 2.848e-05, eta: 1 day, 1:56:00, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.3484, decode.acc_seg: 86.2734, aux.loss_ce: 0.1874, aux.acc_seg: 82.5239, loss: 0.5358 2024-03-04 15:28:18,088 - mmseg - INFO - Iter [27750/160000] lr: 2.846e-05, eta: 1 day, 1:55:21, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3621, decode.acc_seg: 85.5110, aux.loss_ce: 0.1914, aux.acc_seg: 82.0864, loss: 0.5535 2024-03-04 15:28:55,469 - mmseg - INFO - Iter [27800/160000] lr: 2.845e-05, eta: 1 day, 1:54:55, time: 0.748, data_time: 0.064, memory: 9361, decode.loss_ce: 0.3375, decode.acc_seg: 86.8825, aux.loss_ce: 0.1842, aux.acc_seg: 82.8680, loss: 0.5216 2024-03-04 15:29:29,882 - mmseg - INFO - Iter [27850/160000] lr: 2.844e-05, eta: 1 day, 1:54:16, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3572, decode.acc_seg: 86.1125, aux.loss_ce: 0.1903, aux.acc_seg: 82.5071, loss: 0.5475 2024-03-04 15:30:04,470 - mmseg - INFO - Iter [27900/160000] lr: 2.843e-05, eta: 1 day, 1:53:37, time: 0.692, data_time: 0.011, memory: 9361, decode.loss_ce: 0.3496, decode.acc_seg: 86.4692, aux.loss_ce: 0.1971, aux.acc_seg: 81.5827, loss: 0.5467 2024-03-04 15:30:38,852 - mmseg - INFO - Iter [27950/160000] lr: 2.842e-05, eta: 1 day, 1:52:58, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3272, decode.acc_seg: 86.8090, aux.loss_ce: 0.1819, aux.acc_seg: 82.4368, loss: 0.5091 2024-03-04 15:31:13,251 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 15:31:13,251 - mmseg - INFO - Iter [28000/160000] lr: 2.841e-05, eta: 1 day, 1:52:18, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3331, decode.acc_seg: 87.0888, aux.loss_ce: 0.1844, aux.acc_seg: 82.8731, loss: 0.5175 2024-03-04 15:31:47,683 - mmseg - INFO - Iter [28050/160000] lr: 2.840e-05, eta: 1 day, 1:51:39, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3461, decode.acc_seg: 86.5017, aux.loss_ce: 0.1917, aux.acc_seg: 82.4212, loss: 0.5378 2024-03-04 15:32:21,813 - mmseg - INFO - Iter [28100/160000] lr: 2.839e-05, eta: 1 day, 1:50:58, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3253, decode.acc_seg: 87.0063, aux.loss_ce: 0.1849, aux.acc_seg: 81.9738, loss: 0.5102 2024-03-04 15:32:56,218 - mmseg - INFO - Iter [28150/160000] lr: 2.838e-05, eta: 1 day, 1:50:19, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3494, decode.acc_seg: 86.2892, aux.loss_ce: 0.1945, aux.acc_seg: 81.8525, loss: 0.5439 2024-03-04 15:33:30,411 - mmseg - INFO - Iter [28200/160000] lr: 2.837e-05, eta: 1 day, 1:49:39, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3267, decode.acc_seg: 87.0720, aux.loss_ce: 0.1788, aux.acc_seg: 82.8539, loss: 0.5056 2024-03-04 15:34:04,520 - mmseg - INFO - Iter [28250/160000] lr: 2.836e-05, eta: 1 day, 1:48:58, time: 0.682, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3530, decode.acc_seg: 85.9748, aux.loss_ce: 0.1966, aux.acc_seg: 81.8579, loss: 0.5497 2024-03-04 15:34:38,754 - mmseg - INFO - Iter [28300/160000] lr: 2.835e-05, eta: 1 day, 1:48:18, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3464, decode.acc_seg: 85.7897, aux.loss_ce: 0.1846, aux.acc_seg: 82.4413, loss: 0.5310 2024-03-04 15:35:13,241 - mmseg - INFO - Iter [28350/160000] lr: 2.834e-05, eta: 1 day, 1:47:39, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3575, decode.acc_seg: 85.6210, aux.loss_ce: 0.1962, aux.acc_seg: 81.3360, loss: 0.5537 2024-03-04 15:35:47,504 - mmseg - INFO - Iter [28400/160000] lr: 2.832e-05, eta: 1 day, 1:46:59, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3409, decode.acc_seg: 86.8066, aux.loss_ce: 0.1928, aux.acc_seg: 82.0519, loss: 0.5337 2024-03-04 15:36:21,595 - mmseg - INFO - Iter [28450/160000] lr: 2.831e-05, eta: 1 day, 1:46:18, time: 0.682, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3521, decode.acc_seg: 86.3332, aux.loss_ce: 0.1940, aux.acc_seg: 82.0200, loss: 0.5461 2024-03-04 15:36:55,862 - mmseg - INFO - Iter [28500/160000] lr: 2.830e-05, eta: 1 day, 1:45:38, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3560, decode.acc_seg: 86.1144, aux.loss_ce: 0.2006, aux.acc_seg: 81.4195, loss: 0.5565 2024-03-04 15:37:29,991 - mmseg - INFO - Iter [28550/160000] lr: 2.829e-05, eta: 1 day, 1:44:58, time: 0.682, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3462, decode.acc_seg: 86.0933, aux.loss_ce: 0.1893, aux.acc_seg: 82.0914, loss: 0.5356 2024-03-04 15:38:04,393 - mmseg - INFO - Iter [28600/160000] lr: 2.828e-05, eta: 1 day, 1:44:19, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3401, decode.acc_seg: 86.5362, aux.loss_ce: 0.1802, aux.acc_seg: 83.1492, loss: 0.5204 2024-03-04 15:38:38,618 - mmseg - INFO - Iter [28650/160000] lr: 2.827e-05, eta: 1 day, 1:43:39, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3363, decode.acc_seg: 86.5001, aux.loss_ce: 0.1868, aux.acc_seg: 82.1953, loss: 0.5231 2024-03-04 15:39:12,907 - mmseg - INFO - Iter [28700/160000] lr: 2.826e-05, eta: 1 day, 1:42:59, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3605, decode.acc_seg: 85.5425, aux.loss_ce: 0.1938, aux.acc_seg: 81.8794, loss: 0.5543 2024-03-04 15:39:47,333 - mmseg - INFO - Iter [28750/160000] lr: 2.825e-05, eta: 1 day, 1:42:20, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3586, decode.acc_seg: 86.1290, aux.loss_ce: 0.1901, aux.acc_seg: 82.3761, loss: 0.5487 2024-03-04 15:40:21,803 - mmseg - INFO - Iter [28800/160000] lr: 2.824e-05, eta: 1 day, 1:41:41, time: 0.690, data_time: 0.012, memory: 9361, decode.loss_ce: 0.3397, decode.acc_seg: 85.9221, aux.loss_ce: 0.1870, aux.acc_seg: 81.7603, loss: 0.5267 2024-03-04 15:40:56,174 - mmseg - INFO - Iter [28850/160000] lr: 2.823e-05, eta: 1 day, 1:41:02, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3698, decode.acc_seg: 85.3066, aux.loss_ce: 0.1962, aux.acc_seg: 81.5548, loss: 0.5660 2024-03-04 15:41:30,686 - mmseg - INFO - Iter [28900/160000] lr: 2.822e-05, eta: 1 day, 1:40:23, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.3677, decode.acc_seg: 85.7614, aux.loss_ce: 0.1957, aux.acc_seg: 81.8226, loss: 0.5635 2024-03-04 15:42:05,105 - mmseg - INFO - Iter [28950/160000] lr: 2.821e-05, eta: 1 day, 1:39:44, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3601, decode.acc_seg: 85.7095, aux.loss_ce: 0.1978, aux.acc_seg: 81.6152, loss: 0.5579 2024-03-04 15:42:39,435 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 15:42:39,436 - mmseg - INFO - Iter [29000/160000] lr: 2.820e-05, eta: 1 day, 1:39:05, time: 0.687, data_time: 0.011, memory: 9361, decode.loss_ce: 0.3648, decode.acc_seg: 85.6385, aux.loss_ce: 0.1930, aux.acc_seg: 81.9878, loss: 0.5578 2024-03-04 15:43:16,947 - mmseg - INFO - Iter [29050/160000] lr: 2.819e-05, eta: 1 day, 1:38:40, time: 0.750, data_time: 0.060, memory: 9361, decode.loss_ce: 0.3671, decode.acc_seg: 85.4717, aux.loss_ce: 0.2009, aux.acc_seg: 81.3692, loss: 0.5680 2024-03-04 15:43:51,412 - mmseg - INFO - Iter [29100/160000] lr: 2.817e-05, eta: 1 day, 1:38:01, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3209, decode.acc_seg: 86.9935, aux.loss_ce: 0.1805, aux.acc_seg: 82.6296, loss: 0.5014 2024-03-04 15:44:25,605 - mmseg - INFO - Iter [29150/160000] lr: 2.816e-05, eta: 1 day, 1:37:21, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3319, decode.acc_seg: 87.0087, aux.loss_ce: 0.1857, aux.acc_seg: 83.0780, loss: 0.5176 2024-03-04 15:44:59,815 - mmseg - INFO - Iter [29200/160000] lr: 2.815e-05, eta: 1 day, 1:36:41, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3348, decode.acc_seg: 86.7893, aux.loss_ce: 0.1824, aux.acc_seg: 82.8482, loss: 0.5172 2024-03-04 15:45:34,026 - mmseg - INFO - Iter [29250/160000] lr: 2.814e-05, eta: 1 day, 1:36:01, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3143, decode.acc_seg: 87.4445, aux.loss_ce: 0.1745, aux.acc_seg: 83.4616, loss: 0.4887 2024-03-04 15:46:08,185 - mmseg - INFO - Iter [29300/160000] lr: 2.813e-05, eta: 1 day, 1:35:21, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3289, decode.acc_seg: 86.8037, aux.loss_ce: 0.1863, aux.acc_seg: 82.1394, loss: 0.5152 2024-03-04 15:46:42,322 - mmseg - INFO - Iter [29350/160000] lr: 2.812e-05, eta: 1 day, 1:34:41, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3378, decode.acc_seg: 86.2356, aux.loss_ce: 0.1901, aux.acc_seg: 81.8495, loss: 0.5279 2024-03-04 15:47:16,695 - mmseg - INFO - Iter [29400/160000] lr: 2.811e-05, eta: 1 day, 1:34:02, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3254, decode.acc_seg: 86.6587, aux.loss_ce: 0.1768, aux.acc_seg: 82.9084, loss: 0.5023 2024-03-04 15:47:51,076 - mmseg - INFO - Iter [29450/160000] lr: 2.810e-05, eta: 1 day, 1:33:23, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3448, decode.acc_seg: 86.6346, aux.loss_ce: 0.1917, aux.acc_seg: 82.4977, loss: 0.5365 2024-03-04 15:48:25,441 - mmseg - INFO - Iter [29500/160000] lr: 2.809e-05, eta: 1 day, 1:32:44, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3379, decode.acc_seg: 86.6428, aux.loss_ce: 0.1899, aux.acc_seg: 82.1885, loss: 0.5278 2024-03-04 15:48:59,763 - mmseg - INFO - Iter [29550/160000] lr: 2.808e-05, eta: 1 day, 1:32:05, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3268, decode.acc_seg: 87.0872, aux.loss_ce: 0.1817, aux.acc_seg: 83.0381, loss: 0.5085 2024-03-04 15:49:34,042 - mmseg - INFO - Iter [29600/160000] lr: 2.807e-05, eta: 1 day, 1:31:25, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3236, decode.acc_seg: 87.0357, aux.loss_ce: 0.1780, aux.acc_seg: 83.0888, loss: 0.5016 2024-03-04 15:50:08,445 - mmseg - INFO - Iter [29650/160000] lr: 2.806e-05, eta: 1 day, 1:30:46, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3484, decode.acc_seg: 86.4420, aux.loss_ce: 0.1935, aux.acc_seg: 82.3615, loss: 0.5419 2024-03-04 15:50:42,841 - mmseg - INFO - Iter [29700/160000] lr: 2.805e-05, eta: 1 day, 1:30:07, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3434, decode.acc_seg: 86.2060, aux.loss_ce: 0.1876, aux.acc_seg: 82.0937, loss: 0.5309 2024-03-04 15:51:17,091 - mmseg - INFO - Iter [29750/160000] lr: 2.803e-05, eta: 1 day, 1:29:28, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3500, decode.acc_seg: 86.0848, aux.loss_ce: 0.1871, aux.acc_seg: 82.4887, loss: 0.5371 2024-03-04 15:51:51,222 - mmseg - INFO - Iter [29800/160000] lr: 2.802e-05, eta: 1 day, 1:28:48, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3548, decode.acc_seg: 86.2638, aux.loss_ce: 0.1967, aux.acc_seg: 82.1827, loss: 0.5515 2024-03-04 15:52:25,382 - mmseg - INFO - Iter [29850/160000] lr: 2.801e-05, eta: 1 day, 1:28:08, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3436, decode.acc_seg: 86.2112, aux.loss_ce: 0.1903, aux.acc_seg: 82.0969, loss: 0.5340 2024-03-04 15:52:59,650 - mmseg - INFO - Iter [29900/160000] lr: 2.800e-05, eta: 1 day, 1:27:29, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3666, decode.acc_seg: 85.9418, aux.loss_ce: 0.1990, aux.acc_seg: 81.8195, loss: 0.5656 2024-03-04 15:53:33,916 - mmseg - INFO - Iter [29950/160000] lr: 2.799e-05, eta: 1 day, 1:26:49, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3465, decode.acc_seg: 86.2884, aux.loss_ce: 0.1874, aux.acc_seg: 82.6561, loss: 0.5340 2024-03-04 15:54:08,384 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 15:54:08,384 - mmseg - INFO - Iter [30000/160000] lr: 2.798e-05, eta: 1 day, 1:26:11, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3636, decode.acc_seg: 85.6602, aux.loss_ce: 0.1926, aux.acc_seg: 82.0859, loss: 0.5561 2024-03-04 15:54:42,659 - mmseg - INFO - Iter [30050/160000] lr: 2.797e-05, eta: 1 day, 1:25:31, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3448, decode.acc_seg: 85.9107, aux.loss_ce: 0.1849, aux.acc_seg: 82.1820, loss: 0.5297 2024-03-04 15:55:17,156 - mmseg - INFO - Iter [30100/160000] lr: 2.796e-05, eta: 1 day, 1:24:53, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3402, decode.acc_seg: 86.4764, aux.loss_ce: 0.1894, aux.acc_seg: 82.3269, loss: 0.5296 2024-03-04 15:55:51,516 - mmseg - INFO - Iter [30150/160000] lr: 2.795e-05, eta: 1 day, 1:24:14, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3666, decode.acc_seg: 85.7854, aux.loss_ce: 0.1945, aux.acc_seg: 81.7395, loss: 0.5610 2024-03-04 15:56:25,677 - mmseg - INFO - Iter [30200/160000] lr: 2.794e-05, eta: 1 day, 1:23:34, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3423, decode.acc_seg: 86.5259, aux.loss_ce: 0.1944, aux.acc_seg: 81.7555, loss: 0.5367 2024-03-04 15:57:00,120 - mmseg - INFO - Iter [30250/160000] lr: 2.793e-05, eta: 1 day, 1:22:56, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3486, decode.acc_seg: 85.5039, aux.loss_ce: 0.1906, aux.acc_seg: 81.3026, loss: 0.5391 2024-03-04 15:57:34,535 - mmseg - INFO - Iter [30300/160000] lr: 2.792e-05, eta: 1 day, 1:22:17, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3631, decode.acc_seg: 85.4330, aux.loss_ce: 0.1997, aux.acc_seg: 81.3057, loss: 0.5628 2024-03-04 15:58:11,877 - mmseg - INFO - Iter [30350/160000] lr: 2.791e-05, eta: 1 day, 1:21:51, time: 0.747, data_time: 0.061, memory: 9361, decode.loss_ce: 0.3191, decode.acc_seg: 87.1662, aux.loss_ce: 0.1749, aux.acc_seg: 83.2910, loss: 0.4939 2024-03-04 15:58:46,020 - mmseg - INFO - Iter [30400/160000] lr: 2.789e-05, eta: 1 day, 1:21:11, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3377, decode.acc_seg: 87.1367, aux.loss_ce: 0.1812, aux.acc_seg: 83.1210, loss: 0.5190 2024-03-04 15:59:20,087 - mmseg - INFO - Iter [30450/160000] lr: 2.788e-05, eta: 1 day, 1:20:31, time: 0.681, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3217, decode.acc_seg: 86.6530, aux.loss_ce: 0.1767, aux.acc_seg: 82.3756, loss: 0.4985 2024-03-04 15:59:54,693 - mmseg - INFO - Iter [30500/160000] lr: 2.787e-05, eta: 1 day, 1:19:54, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3470, decode.acc_seg: 86.4015, aux.loss_ce: 0.1918, aux.acc_seg: 82.3174, loss: 0.5388 2024-03-04 16:00:28,978 - mmseg - INFO - Iter [30550/160000] lr: 2.786e-05, eta: 1 day, 1:19:14, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3560, decode.acc_seg: 85.4320, aux.loss_ce: 0.1935, aux.acc_seg: 81.4763, loss: 0.5495 2024-03-04 16:01:03,621 - mmseg - INFO - Iter [30600/160000] lr: 2.785e-05, eta: 1 day, 1:18:37, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3307, decode.acc_seg: 86.5037, aux.loss_ce: 0.1839, aux.acc_seg: 82.2729, loss: 0.5147 2024-03-04 16:01:38,036 - mmseg - INFO - Iter [30650/160000] lr: 2.784e-05, eta: 1 day, 1:17:58, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3236, decode.acc_seg: 86.8770, aux.loss_ce: 0.1754, aux.acc_seg: 83.2177, loss: 0.4990 2024-03-04 16:02:12,311 - mmseg - INFO - Iter [30700/160000] lr: 2.783e-05, eta: 1 day, 1:17:19, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3322, decode.acc_seg: 86.3081, aux.loss_ce: 0.1812, aux.acc_seg: 82.4501, loss: 0.5133 2024-03-04 16:02:46,831 - mmseg - INFO - Iter [30750/160000] lr: 2.782e-05, eta: 1 day, 1:16:41, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3542, decode.acc_seg: 86.0434, aux.loss_ce: 0.1913, aux.acc_seg: 82.0964, loss: 0.5455 2024-03-04 16:03:21,159 - mmseg - INFO - Iter [30800/160000] lr: 2.781e-05, eta: 1 day, 1:16:02, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3535, decode.acc_seg: 86.5663, aux.loss_ce: 0.1948, aux.acc_seg: 82.2115, loss: 0.5482 2024-03-04 16:03:55,473 - mmseg - INFO - Iter [30850/160000] lr: 2.780e-05, eta: 1 day, 1:15:23, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3397, decode.acc_seg: 86.5992, aux.loss_ce: 0.1951, aux.acc_seg: 81.9709, loss: 0.5348 2024-03-04 16:04:29,875 - mmseg - INFO - Iter [30900/160000] lr: 2.779e-05, eta: 1 day, 1:14:45, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3345, decode.acc_seg: 86.7240, aux.loss_ce: 0.1840, aux.acc_seg: 82.9040, loss: 0.5185 2024-03-04 16:05:04,396 - mmseg - INFO - Iter [30950/160000] lr: 2.778e-05, eta: 1 day, 1:14:07, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3229, decode.acc_seg: 87.1613, aux.loss_ce: 0.1790, aux.acc_seg: 82.9064, loss: 0.5019 2024-03-04 16:05:38,747 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 16:05:38,748 - mmseg - INFO - Iter [31000/160000] lr: 2.777e-05, eta: 1 day, 1:13:28, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3429, decode.acc_seg: 86.8657, aux.loss_ce: 0.1882, aux.acc_seg: 82.8154, loss: 0.5311 2024-03-04 16:06:13,105 - mmseg - INFO - Iter [31050/160000] lr: 2.775e-05, eta: 1 day, 1:12:49, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3368, decode.acc_seg: 86.9296, aux.loss_ce: 0.1903, aux.acc_seg: 82.7297, loss: 0.5271 2024-03-04 16:06:47,291 - mmseg - INFO - Iter [31100/160000] lr: 2.774e-05, eta: 1 day, 1:12:10, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3531, decode.acc_seg: 86.3173, aux.loss_ce: 0.1930, aux.acc_seg: 82.5183, loss: 0.5462 2024-03-04 16:07:21,600 - mmseg - INFO - Iter [31150/160000] lr: 2.773e-05, eta: 1 day, 1:11:31, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3227, decode.acc_seg: 86.8299, aux.loss_ce: 0.1780, aux.acc_seg: 82.7272, loss: 0.5007 2024-03-04 16:07:55,797 - mmseg - INFO - Iter [31200/160000] lr: 2.772e-05, eta: 1 day, 1:10:52, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3449, decode.acc_seg: 86.2439, aux.loss_ce: 0.1873, aux.acc_seg: 82.4401, loss: 0.5322 2024-03-04 16:08:30,021 - mmseg - INFO - Iter [31250/160000] lr: 2.771e-05, eta: 1 day, 1:10:13, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3170, decode.acc_seg: 87.1900, aux.loss_ce: 0.1803, aux.acc_seg: 82.8893, loss: 0.4973 2024-03-04 16:09:04,151 - mmseg - INFO - Iter [31300/160000] lr: 2.770e-05, eta: 1 day, 1:09:33, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3257, decode.acc_seg: 86.5743, aux.loss_ce: 0.1811, aux.acc_seg: 82.4834, loss: 0.5068 2024-03-04 16:09:38,108 - mmseg - INFO - Iter [31350/160000] lr: 2.769e-05, eta: 1 day, 1:08:53, time: 0.679, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3244, decode.acc_seg: 87.0488, aux.loss_ce: 0.1800, aux.acc_seg: 83.0511, loss: 0.5044 2024-03-04 16:10:12,595 - mmseg - INFO - Iter [31400/160000] lr: 2.768e-05, eta: 1 day, 1:08:15, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.3260, decode.acc_seg: 86.5610, aux.loss_ce: 0.1791, aux.acc_seg: 82.6623, loss: 0.5051 2024-03-04 16:10:46,940 - mmseg - INFO - Iter [31450/160000] lr: 2.767e-05, eta: 1 day, 1:07:36, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3283, decode.acc_seg: 87.0079, aux.loss_ce: 0.1779, aux.acc_seg: 83.5387, loss: 0.5062 2024-03-04 16:11:21,364 - mmseg - INFO - Iter [31500/160000] lr: 2.766e-05, eta: 1 day, 1:06:58, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3690, decode.acc_seg: 85.3424, aux.loss_ce: 0.1980, aux.acc_seg: 81.4914, loss: 0.5670 2024-03-04 16:11:55,682 - mmseg - INFO - Iter [31550/160000] lr: 2.765e-05, eta: 1 day, 1:06:19, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3450, decode.acc_seg: 86.2864, aux.loss_ce: 0.1960, aux.acc_seg: 81.6346, loss: 0.5410 2024-03-04 16:12:33,160 - mmseg - INFO - Iter [31600/160000] lr: 2.764e-05, eta: 1 day, 1:05:53, time: 0.750, data_time: 0.066, memory: 9361, decode.loss_ce: 0.3255, decode.acc_seg: 87.0701, aux.loss_ce: 0.1807, aux.acc_seg: 83.0241, loss: 0.5062 2024-03-04 16:13:07,783 - mmseg - INFO - Iter [31650/160000] lr: 2.763e-05, eta: 1 day, 1:05:16, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3115, decode.acc_seg: 87.2701, aux.loss_ce: 0.1738, aux.acc_seg: 83.1427, loss: 0.4853 2024-03-04 16:13:42,065 - mmseg - INFO - Iter [31700/160000] lr: 2.761e-05, eta: 1 day, 1:04:37, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3313, decode.acc_seg: 86.6829, aux.loss_ce: 0.1762, aux.acc_seg: 83.2411, loss: 0.5075 2024-03-04 16:14:16,587 - mmseg - INFO - Iter [31750/160000] lr: 2.760e-05, eta: 1 day, 1:03:59, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3249, decode.acc_seg: 87.0611, aux.loss_ce: 0.1826, aux.acc_seg: 82.6644, loss: 0.5076 2024-03-04 16:14:50,949 - mmseg - INFO - Iter [31800/160000] lr: 2.759e-05, eta: 1 day, 1:03:21, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3107, decode.acc_seg: 87.5589, aux.loss_ce: 0.1745, aux.acc_seg: 83.4097, loss: 0.4852 2024-03-04 16:15:25,147 - mmseg - INFO - Iter [31850/160000] lr: 2.758e-05, eta: 1 day, 1:02:41, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3159, decode.acc_seg: 87.1855, aux.loss_ce: 0.1776, aux.acc_seg: 83.0996, loss: 0.4935 2024-03-04 16:15:59,434 - mmseg - INFO - Iter [31900/160000] lr: 2.757e-05, eta: 1 day, 1:02:03, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3153, decode.acc_seg: 87.2779, aux.loss_ce: 0.1772, aux.acc_seg: 82.8671, loss: 0.4925 2024-03-04 16:16:33,833 - mmseg - INFO - Iter [31950/160000] lr: 2.756e-05, eta: 1 day, 1:01:24, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3485, decode.acc_seg: 86.4005, aux.loss_ce: 0.1869, aux.acc_seg: 82.6796, loss: 0.5354 2024-03-04 16:17:08,190 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 16:17:08,190 - mmseg - INFO - Iter [32000/160000] lr: 2.755e-05, eta: 1 day, 1:00:46, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3334, decode.acc_seg: 86.8739, aux.loss_ce: 0.1834, aux.acc_seg: 82.9890, loss: 0.5169 2024-03-04 16:20:18,014 - mmseg - INFO - per class results: 2024-03-04 16:20:18,022 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 75.27 | 84.34 | | building | 81.7 | 91.71 | | sky | 93.87 | 97.24 | | floor | 79.28 | 88.9 | | tree | 73.08 | 88.4 | | ceiling | 80.53 | 93.0 | | road | 82.48 | 90.2 | | bed | 88.14 | 96.14 | | windowpane | 58.18 | 74.65 | | grass | 65.96 | 75.26 | | cabinet | 56.23 | 75.87 | | sidewalk | 61.91 | 75.41 | | person | 80.88 | 89.25 | | earth | 33.92 | 49.65 | | door | 47.4 | 67.62 | | table | 56.54 | 68.87 | | mountain | 57.37 | 68.48 | | plant | 48.71 | 57.37 | | curtain | 74.45 | 83.79 | | chair | 55.37 | 70.88 | | car | 81.39 | 92.08 | | water | 48.35 | 55.69 | | painting | 70.41 | 87.03 | | sofa | 67.91 | 85.48 | | shelf | 42.5 | 63.52 | | house | 47.62 | 70.84 | | sea | 53.17 | 77.24 | | mirror | 59.66 | 67.25 | | rug | 53.21 | 64.69 | | field | 27.84 | 57.89 | | armchair | 39.99 | 52.94 | | seat | 58.25 | 79.19 | | fence | 44.41 | 60.04 | | desk | 52.82 | 70.13 | | rock | 45.66 | 80.7 | | wardrobe | 47.14 | 66.69 | | lamp | 59.47 | 76.3 | | bathtub | 74.15 | 83.67 | | railing | 31.09 | 48.77 | | cushion | 55.72 | 68.75 | | base | 24.52 | 31.84 | | box | 20.24 | 25.45 | | column | 41.95 | 48.59 | | signboard | 35.52 | 50.21 | | chest of drawers | 41.73 | 56.04 | | counter | 25.64 | 32.23 | | sand | 35.55 | 55.21 | | sink | 69.28 | 78.97 | | skyscraper | 53.65 | 66.99 | | fireplace | 67.46 | 91.3 | | refrigerator | 64.52 | 82.97 | | grandstand | 35.12 | 78.84 | | path | 22.64 | 33.72 | | stairs | 29.51 | 33.54 | | runway | 67.79 | 89.75 | | case | 58.13 | 77.05 | | pool table | 88.85 | 98.12 | | pillow | 51.14 | 57.34 | | screen door | 61.23 | 84.64 | | stairway | 28.41 | 33.87 | | river | 8.81 | 27.48 | | bridge | 47.85 | 56.04 | | bookcase | 32.61 | 46.6 | | blind | 40.63 | 50.98 | | coffee table | 52.8 | 79.12 | | toilet | 83.04 | 91.2 | | flower | 33.89 | 43.51 | | book | 46.02 | 70.16 | | hill | 6.29 | 11.26 | | bench | 33.89 | 55.24 | | countertop | 50.44 | 59.66 | | stove | 71.72 | 85.54 | | palm | 49.74 | 71.43 | | kitchen island | 28.23 | 75.93 | | computer | 62.22 | 82.89 | | swivel chair | 38.95 | 53.61 | | boat | 60.93 | 72.89 | | bar | 36.62 | 54.96 | | arcade machine | 34.59 | 39.53 | | hovel | 26.75 | 30.04 | | bus | 83.33 | 96.75 | | towel | 56.61 | 75.77 | | light | 52.39 | 67.9 | | truck | 21.39 | 34.19 | | tower | 32.11 | 41.61 | | chandelier | 58.59 | 82.41 | | awning | 23.35 | 30.86 | | streetlight | 20.73 | 26.17 | | booth | 45.66 | 62.51 | | television receiver | 64.7 | 74.72 | | airplane | 41.9 | 61.71 | | dirt track | 11.63 | 23.21 | | apparel | 33.5 | 52.16 | | pole | 10.77 | 13.24 | | land | 0.0 | 0.0 | | bannister | 13.58 | 18.38 | | escalator | 31.5 | 36.72 | | ottoman | 39.12 | 47.71 | | bottle | 35.13 | 56.26 | | buffet | 35.06 | 38.97 | | poster | 22.07 | 29.33 | | stage | 8.96 | 34.84 | | van | 36.31 | 40.38 | | ship | 15.66 | 18.21 | | fountain | 7.05 | 7.07 | | conveyer belt | 66.0 | 89.52 | | canopy | 16.13 | 21.16 | | washer | 71.51 | 72.81 | | plaything | 23.81 | 39.17 | | swimming pool | 31.6 | 46.75 | | stool | 38.03 | 56.95 | | barrel | 30.87 | 65.12 | | basket | 26.58 | 36.85 | | waterfall | 57.13 | 85.62 | | tent | 96.43 | 98.41 | | bag | 16.0 | 18.14 | | minibike | 70.4 | 83.48 | | cradle | 70.43 | 96.93 | | oven | 26.47 | 72.52 | | ball | 34.41 | 67.47 | | food | 51.21 | 64.8 | | step | 12.47 | 15.43 | | tank | 39.01 | 42.43 | | trade name | 24.72 | 30.23 | | microwave | 41.02 | 45.44 | | pot | 43.45 | 53.03 | | animal | 57.67 | 60.34 | | bicycle | 51.28 | 72.84 | | lake | 42.13 | 55.36 | | dishwasher | 52.6 | 80.67 | | screen | 53.39 | 80.05 | | blanket | 4.6 | 5.14 | | sculpture | 42.12 | 71.82 | | hood | 56.16 | 67.65 | | sconce | 36.87 | 43.92 | | vase | 32.14 | 45.95 | | traffic light | 24.33 | 60.28 | | tray | 3.22 | 4.55 | | ashcan | 44.27 | 64.34 | | fan | 52.48 | 69.98 | | pier | 31.53 | 46.04 | | crt screen | 3.06 | 8.78 | | plate | 37.45 | 56.53 | | monitor | 22.59 | 29.38 | | bulletin board | 41.16 | 50.95 | | shower | 0.0 | 0.0 | | radiator | 49.44 | 54.65 | | glass | 12.19 | 13.27 | | clock | 28.84 | 43.01 | | flag | 35.23 | 41.02 | +---------------------+-------+-------+ 2024-03-04 16:20:18,023 - mmseg - INFO - Summary: 2024-03-04 16:20:18,023 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 81.31 | 44.56 | 58.4 | +-------+-------+------+ 2024-03-04 16:20:18,033 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 16:20:18,034 - mmseg - INFO - Iter(val) [500] aAcc: 0.8131, mIoU: 0.4456, mAcc: 0.5840, IoU.wall: 0.7527, IoU.building: 0.8170, IoU.sky: 0.9387, IoU.floor: 0.7928, IoU.tree: 0.7308, IoU.ceiling: 0.8053, IoU.road: 0.8248, IoU.bed : 0.8814, IoU.windowpane: 0.5818, IoU.grass: 0.6596, IoU.cabinet: 0.5623, IoU.sidewalk: 0.6191, IoU.person: 0.8088, IoU.earth: 0.3392, IoU.door: 0.4740, IoU.table: 0.5654, IoU.mountain: 0.5737, IoU.plant: 0.4871, IoU.curtain: 0.7445, IoU.chair: 0.5537, IoU.car: 0.8139, IoU.water: 0.4835, IoU.painting: 0.7041, IoU.sofa: 0.6791, IoU.shelf: 0.4250, IoU.house: 0.4762, IoU.sea: 0.5317, IoU.mirror: 0.5966, IoU.rug: 0.5321, IoU.field: 0.2784, IoU.armchair: 0.3999, IoU.seat: 0.5825, IoU.fence: 0.4441, IoU.desk: 0.5282, IoU.rock: 0.4566, IoU.wardrobe: 0.4714, IoU.lamp: 0.5947, IoU.bathtub: 0.7415, IoU.railing: 0.3109, IoU.cushion: 0.5572, IoU.base: 0.2452, IoU.box: 0.2024, IoU.column: 0.4195, IoU.signboard: 0.3552, IoU.chest of drawers: 0.4173, IoU.counter: 0.2564, IoU.sand: 0.3555, IoU.sink: 0.6928, IoU.skyscraper: 0.5365, IoU.fireplace: 0.6746, IoU.refrigerator: 0.6452, IoU.grandstand: 0.3512, IoU.path: 0.2264, IoU.stairs: 0.2951, IoU.runway: 0.6779, IoU.case: 0.5813, IoU.pool table: 0.8885, IoU.pillow: 0.5114, IoU.screen door: 0.6123, IoU.stairway: 0.2841, IoU.river: 0.0881, IoU.bridge: 0.4785, IoU.bookcase: 0.3261, IoU.blind: 0.4063, IoU.coffee table: 0.5280, IoU.toilet: 0.8304, IoU.flower: 0.3389, IoU.book: 0.4602, IoU.hill: 0.0629, IoU.bench: 0.3389, IoU.countertop: 0.5044, IoU.stove: 0.7172, IoU.palm: 0.4974, IoU.kitchen island: 0.2823, IoU.computer: 0.6222, IoU.swivel chair: 0.3895, IoU.boat: 0.6093, IoU.bar: 0.3662, IoU.arcade machine: 0.3459, IoU.hovel: 0.2675, IoU.bus: 0.8333, IoU.towel: 0.5661, IoU.light: 0.5239, IoU.truck: 0.2139, IoU.tower: 0.3211, IoU.chandelier: 0.5859, IoU.awning: 0.2335, IoU.streetlight: 0.2073, IoU.booth: 0.4566, IoU.television receiver: 0.6470, IoU.airplane: 0.4190, IoU.dirt track: 0.1163, IoU.apparel: 0.3350, IoU.pole: 0.1077, IoU.land: 0.0000, IoU.bannister: 0.1358, IoU.escalator: 0.3150, IoU.ottoman: 0.3912, IoU.bottle: 0.3513, IoU.buffet: 0.3506, IoU.poster: 0.2207, IoU.stage: 0.0896, IoU.van: 0.3631, IoU.ship: 0.1566, IoU.fountain: 0.0705, IoU.conveyer belt: 0.6600, IoU.canopy: 0.1613, IoU.washer: 0.7151, IoU.plaything: 0.2381, IoU.swimming pool: 0.3160, IoU.stool: 0.3803, IoU.barrel: 0.3087, IoU.basket: 0.2658, IoU.waterfall: 0.5713, IoU.tent: 0.9643, IoU.bag: 0.1600, IoU.minibike: 0.7040, IoU.cradle: 0.7043, IoU.oven: 0.2647, IoU.ball: 0.3441, IoU.food: 0.5121, IoU.step: 0.1247, IoU.tank: 0.3901, IoU.trade name: 0.2472, IoU.microwave: 0.4102, IoU.pot: 0.4345, IoU.animal: 0.5767, IoU.bicycle: 0.5128, IoU.lake: 0.4213, IoU.dishwasher: 0.5260, IoU.screen: 0.5339, IoU.blanket: 0.0460, IoU.sculpture: 0.4212, IoU.hood: 0.5616, IoU.sconce: 0.3687, IoU.vase: 0.3214, IoU.traffic light: 0.2433, IoU.tray: 0.0322, IoU.ashcan: 0.4427, IoU.fan: 0.5248, IoU.pier: 0.3153, IoU.crt screen: 0.0306, IoU.plate: 0.3745, IoU.monitor: 0.2259, IoU.bulletin board: 0.4116, IoU.shower: 0.0000, IoU.radiator: 0.4944, IoU.glass: 0.1219, IoU.clock: 0.2884, IoU.flag: 0.3523, Acc.wall: 0.8434, Acc.building: 0.9171, Acc.sky: 0.9724, Acc.floor: 0.8890, Acc.tree: 0.8840, Acc.ceiling: 0.9300, Acc.road: 0.9020, Acc.bed : 0.9614, Acc.windowpane: 0.7465, Acc.grass: 0.7526, Acc.cabinet: 0.7587, Acc.sidewalk: 0.7541, Acc.person: 0.8925, Acc.earth: 0.4965, Acc.door: 0.6762, Acc.table: 0.6887, Acc.mountain: 0.6848, Acc.plant: 0.5737, Acc.curtain: 0.8379, Acc.chair: 0.7088, Acc.car: 0.9208, Acc.water: 0.5569, Acc.painting: 0.8703, Acc.sofa: 0.8548, Acc.shelf: 0.6352, Acc.house: 0.7084, Acc.sea: 0.7724, Acc.mirror: 0.6725, Acc.rug: 0.6469, Acc.field: 0.5789, Acc.armchair: 0.5294, Acc.seat: 0.7919, Acc.fence: 0.6004, Acc.desk: 0.7013, Acc.rock: 0.8070, Acc.wardrobe: 0.6669, Acc.lamp: 0.7630, Acc.bathtub: 0.8367, Acc.railing: 0.4877, Acc.cushion: 0.6875, Acc.base: 0.3184, Acc.box: 0.2545, Acc.column: 0.4859, Acc.signboard: 0.5021, Acc.chest of drawers: 0.5604, Acc.counter: 0.3223, Acc.sand: 0.5521, Acc.sink: 0.7897, Acc.skyscraper: 0.6699, Acc.fireplace: 0.9130, Acc.refrigerator: 0.8297, Acc.grandstand: 0.7884, Acc.path: 0.3372, Acc.stairs: 0.3354, Acc.runway: 0.8975, Acc.case: 0.7705, Acc.pool table: 0.9812, Acc.pillow: 0.5734, Acc.screen door: 0.8464, Acc.stairway: 0.3387, Acc.river: 0.2748, Acc.bridge: 0.5604, Acc.bookcase: 0.4660, Acc.blind: 0.5098, Acc.coffee table: 0.7912, Acc.toilet: 0.9120, Acc.flower: 0.4351, Acc.book: 0.7016, Acc.hill: 0.1126, Acc.bench: 0.5524, Acc.countertop: 0.5966, Acc.stove: 0.8554, Acc.palm: 0.7143, Acc.kitchen island: 0.7593, Acc.computer: 0.8289, Acc.swivel chair: 0.5361, Acc.boat: 0.7289, Acc.bar: 0.5496, Acc.arcade machine: 0.3953, Acc.hovel: 0.3004, Acc.bus: 0.9675, Acc.towel: 0.7577, Acc.light: 0.6790, Acc.truck: 0.3419, Acc.tower: 0.4161, Acc.chandelier: 0.8241, Acc.awning: 0.3086, Acc.streetlight: 0.2617, Acc.booth: 0.6251, Acc.television receiver: 0.7472, Acc.airplane: 0.6171, Acc.dirt track: 0.2321, Acc.apparel: 0.5216, Acc.pole: 0.1324, Acc.land: 0.0000, Acc.bannister: 0.1838, Acc.escalator: 0.3672, Acc.ottoman: 0.4771, Acc.bottle: 0.5626, Acc.buffet: 0.3897, Acc.poster: 0.2933, Acc.stage: 0.3484, Acc.van: 0.4038, Acc.ship: 0.1821, Acc.fountain: 0.0707, Acc.conveyer belt: 0.8952, Acc.canopy: 0.2116, Acc.washer: 0.7281, Acc.plaything: 0.3917, Acc.swimming pool: 0.4675, Acc.stool: 0.5695, Acc.barrel: 0.6512, Acc.basket: 0.3685, Acc.waterfall: 0.8562, Acc.tent: 0.9841, Acc.bag: 0.1814, Acc.minibike: 0.8348, Acc.cradle: 0.9693, Acc.oven: 0.7252, Acc.ball: 0.6747, Acc.food: 0.6480, Acc.step: 0.1543, Acc.tank: 0.4243, Acc.trade name: 0.3023, Acc.microwave: 0.4544, Acc.pot: 0.5303, Acc.animal: 0.6034, Acc.bicycle: 0.7284, Acc.lake: 0.5536, Acc.dishwasher: 0.8067, Acc.screen: 0.8005, Acc.blanket: 0.0514, Acc.sculpture: 0.7182, Acc.hood: 0.6765, Acc.sconce: 0.4392, Acc.vase: 0.4595, Acc.traffic light: 0.6028, Acc.tray: 0.0455, Acc.ashcan: 0.6434, Acc.fan: 0.6998, Acc.pier: 0.4604, Acc.crt screen: 0.0878, Acc.plate: 0.5653, Acc.monitor: 0.2938, Acc.bulletin board: 0.5095, Acc.shower: 0.0000, Acc.radiator: 0.5465, Acc.glass: 0.1327, Acc.clock: 0.4301, Acc.flag: 0.4102 2024-03-04 16:20:52,709 - mmseg - INFO - Iter [32050/160000] lr: 2.754e-05, eta: 1 day, 1:12:47, time: 4.490, data_time: 3.805, memory: 9361, decode.loss_ce: 0.3071, decode.acc_seg: 87.5200, aux.loss_ce: 0.1731, aux.acc_seg: 83.5070, loss: 0.4802 2024-03-04 16:21:26,868 - mmseg - INFO - Iter [32100/160000] lr: 2.753e-05, eta: 1 day, 1:12:06, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3092, decode.acc_seg: 87.3654, aux.loss_ce: 0.1774, aux.acc_seg: 83.1080, loss: 0.4866 2024-03-04 16:22:01,319 - mmseg - INFO - Iter [32150/160000] lr: 2.752e-05, eta: 1 day, 1:11:26, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3051, decode.acc_seg: 87.4645, aux.loss_ce: 0.1735, aux.acc_seg: 83.1572, loss: 0.4787 2024-03-04 16:22:35,675 - mmseg - INFO - Iter [32200/160000] lr: 2.751e-05, eta: 1 day, 1:10:47, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3186, decode.acc_seg: 87.0253, aux.loss_ce: 0.1896, aux.acc_seg: 82.2732, loss: 0.5082 2024-03-04 16:23:10,097 - mmseg - INFO - Iter [32250/160000] lr: 2.750e-05, eta: 1 day, 1:10:07, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3240, decode.acc_seg: 87.1003, aux.loss_ce: 0.1776, aux.acc_seg: 83.0565, loss: 0.5016 2024-03-04 16:23:44,298 - mmseg - INFO - Iter [32300/160000] lr: 2.749e-05, eta: 1 day, 1:09:27, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3045, decode.acc_seg: 88.0875, aux.loss_ce: 0.1710, aux.acc_seg: 83.7283, loss: 0.4755 2024-03-04 16:24:18,698 - mmseg - INFO - Iter [32350/160000] lr: 2.747e-05, eta: 1 day, 1:08:47, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3300, decode.acc_seg: 86.8970, aux.loss_ce: 0.1816, aux.acc_seg: 82.8235, loss: 0.5116 2024-03-04 16:24:52,961 - mmseg - INFO - Iter [32400/160000] lr: 2.746e-05, eta: 1 day, 1:08:07, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3308, decode.acc_seg: 86.8256, aux.loss_ce: 0.1810, aux.acc_seg: 82.7929, loss: 0.5118 2024-03-04 16:25:27,358 - mmseg - INFO - Iter [32450/160000] lr: 2.745e-05, eta: 1 day, 1:07:27, time: 0.688, data_time: 0.011, memory: 9361, decode.loss_ce: 0.3409, decode.acc_seg: 86.3184, aux.loss_ce: 0.1862, aux.acc_seg: 82.1986, loss: 0.5271 2024-03-04 16:26:01,698 - mmseg - INFO - Iter [32500/160000] lr: 2.744e-05, eta: 1 day, 1:06:47, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3355, decode.acc_seg: 86.6135, aux.loss_ce: 0.1825, aux.acc_seg: 82.9121, loss: 0.5180 2024-03-04 16:26:36,215 - mmseg - INFO - Iter [32550/160000] lr: 2.743e-05, eta: 1 day, 1:06:08, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3253, decode.acc_seg: 86.9087, aux.loss_ce: 0.1782, aux.acc_seg: 83.2251, loss: 0.5036 2024-03-04 16:27:10,570 - mmseg - INFO - Iter [32600/160000] lr: 2.742e-05, eta: 1 day, 1:05:28, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3444, decode.acc_seg: 86.5415, aux.loss_ce: 0.1838, aux.acc_seg: 82.7557, loss: 0.5282 2024-03-04 16:27:44,916 - mmseg - INFO - Iter [32650/160000] lr: 2.741e-05, eta: 1 day, 1:04:49, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3386, decode.acc_seg: 86.5967, aux.loss_ce: 0.1857, aux.acc_seg: 82.3201, loss: 0.5243 2024-03-04 16:28:19,229 - mmseg - INFO - Iter [32700/160000] lr: 2.740e-05, eta: 1 day, 1:04:09, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3540, decode.acc_seg: 86.3693, aux.loss_ce: 0.1940, aux.acc_seg: 82.0683, loss: 0.5480 2024-03-04 16:28:53,654 - mmseg - INFO - Iter [32750/160000] lr: 2.739e-05, eta: 1 day, 1:03:29, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3150, decode.acc_seg: 87.1020, aux.loss_ce: 0.1780, aux.acc_seg: 82.7884, loss: 0.4930 2024-03-04 16:29:27,647 - mmseg - INFO - Iter [32800/160000] lr: 2.738e-05, eta: 1 day, 1:02:48, time: 0.680, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3139, decode.acc_seg: 87.1325, aux.loss_ce: 0.1723, aux.acc_seg: 83.3098, loss: 0.4862 2024-03-04 16:30:04,908 - mmseg - INFO - Iter [32850/160000] lr: 2.737e-05, eta: 1 day, 1:02:20, time: 0.745, data_time: 0.052, memory: 9361, decode.loss_ce: 0.3384, decode.acc_seg: 86.7118, aux.loss_ce: 0.1822, aux.acc_seg: 82.9260, loss: 0.5205 2024-03-04 16:30:39,202 - mmseg - INFO - Iter [32900/160000] lr: 2.736e-05, eta: 1 day, 1:01:40, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3072, decode.acc_seg: 87.5223, aux.loss_ce: 0.1729, aux.acc_seg: 83.6591, loss: 0.4801 2024-03-04 16:31:13,655 - mmseg - INFO - Iter [32950/160000] lr: 2.735e-05, eta: 1 day, 1:01:01, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3114, decode.acc_seg: 87.2690, aux.loss_ce: 0.1714, aux.acc_seg: 83.3336, loss: 0.4828 2024-03-04 16:31:48,077 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 16:31:48,077 - mmseg - INFO - Iter [33000/160000] lr: 2.733e-05, eta: 1 day, 1:00:21, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3079, decode.acc_seg: 87.7014, aux.loss_ce: 0.1722, aux.acc_seg: 83.8463, loss: 0.4801 2024-03-04 16:32:22,396 - mmseg - INFO - Iter [33050/160000] lr: 2.732e-05, eta: 1 day, 0:59:42, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3214, decode.acc_seg: 87.2675, aux.loss_ce: 0.1714, aux.acc_seg: 83.9086, loss: 0.4928 2024-03-04 16:32:56,783 - mmseg - INFO - Iter [33100/160000] lr: 2.731e-05, eta: 1 day, 0:59:02, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3162, decode.acc_seg: 87.2224, aux.loss_ce: 0.1749, aux.acc_seg: 83.0423, loss: 0.4911 2024-03-04 16:33:31,222 - mmseg - INFO - Iter [33150/160000] lr: 2.730e-05, eta: 1 day, 0:58:23, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3211, decode.acc_seg: 87.1966, aux.loss_ce: 0.1798, aux.acc_seg: 83.1935, loss: 0.5009 2024-03-04 16:34:05,735 - mmseg - INFO - Iter [33200/160000] lr: 2.729e-05, eta: 1 day, 0:57:44, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3090, decode.acc_seg: 87.4898, aux.loss_ce: 0.1737, aux.acc_seg: 83.4151, loss: 0.4827 2024-03-04 16:34:40,166 - mmseg - INFO - Iter [33250/160000] lr: 2.728e-05, eta: 1 day, 0:57:05, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3138, decode.acc_seg: 87.7603, aux.loss_ce: 0.1783, aux.acc_seg: 83.2067, loss: 0.4921 2024-03-04 16:35:14,616 - mmseg - INFO - Iter [33300/160000] lr: 2.727e-05, eta: 1 day, 0:56:25, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2991, decode.acc_seg: 87.8143, aux.loss_ce: 0.1720, aux.acc_seg: 83.2594, loss: 0.4711 2024-03-04 16:35:48,787 - mmseg - INFO - Iter [33350/160000] lr: 2.726e-05, eta: 1 day, 0:55:45, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3232, decode.acc_seg: 87.3219, aux.loss_ce: 0.1752, aux.acc_seg: 83.5129, loss: 0.4983 2024-03-04 16:36:23,196 - mmseg - INFO - Iter [33400/160000] lr: 2.725e-05, eta: 1 day, 0:55:06, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3320, decode.acc_seg: 86.5292, aux.loss_ce: 0.1802, aux.acc_seg: 82.6735, loss: 0.5122 2024-03-04 16:36:57,491 - mmseg - INFO - Iter [33450/160000] lr: 2.724e-05, eta: 1 day, 0:54:26, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3156, decode.acc_seg: 87.3481, aux.loss_ce: 0.1754, aux.acc_seg: 83.2373, loss: 0.4911 2024-03-04 16:37:31,951 - mmseg - INFO - Iter [33500/160000] lr: 2.723e-05, eta: 1 day, 0:53:47, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3298, decode.acc_seg: 86.7541, aux.loss_ce: 0.1840, aux.acc_seg: 82.2409, loss: 0.5139 2024-03-04 16:38:06,156 - mmseg - INFO - Iter [33550/160000] lr: 2.722e-05, eta: 1 day, 0:53:07, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3312, decode.acc_seg: 87.0320, aux.loss_ce: 0.1761, aux.acc_seg: 83.5838, loss: 0.5073 2024-03-04 16:38:40,347 - mmseg - INFO - Iter [33600/160000] lr: 2.721e-05, eta: 1 day, 0:52:27, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3010, decode.acc_seg: 87.9559, aux.loss_ce: 0.1688, aux.acc_seg: 83.9060, loss: 0.4698 2024-03-04 16:39:14,601 - mmseg - INFO - Iter [33650/160000] lr: 2.719e-05, eta: 1 day, 0:51:47, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3199, decode.acc_seg: 86.9649, aux.loss_ce: 0.1791, aux.acc_seg: 82.9515, loss: 0.4990 2024-03-04 16:39:49,088 - mmseg - INFO - Iter [33700/160000] lr: 2.718e-05, eta: 1 day, 0:51:08, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3188, decode.acc_seg: 87.0104, aux.loss_ce: 0.1806, aux.acc_seg: 82.6683, loss: 0.4994 2024-03-04 16:40:23,471 - mmseg - INFO - Iter [33750/160000] lr: 2.717e-05, eta: 1 day, 0:50:29, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3182, decode.acc_seg: 87.0919, aux.loss_ce: 0.1742, aux.acc_seg: 83.5930, loss: 0.4924 2024-03-04 16:40:57,704 - mmseg - INFO - Iter [33800/160000] lr: 2.716e-05, eta: 1 day, 0:49:49, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3123, decode.acc_seg: 87.2809, aux.loss_ce: 0.1715, aux.acc_seg: 83.2197, loss: 0.4837 2024-03-04 16:41:32,259 - mmseg - INFO - Iter [33850/160000] lr: 2.715e-05, eta: 1 day, 0:49:10, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3273, decode.acc_seg: 86.8987, aux.loss_ce: 0.1813, aux.acc_seg: 83.0413, loss: 0.5085 2024-03-04 16:42:06,632 - mmseg - INFO - Iter [33900/160000] lr: 2.714e-05, eta: 1 day, 0:48:31, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3167, decode.acc_seg: 87.4467, aux.loss_ce: 0.1826, aux.acc_seg: 83.0873, loss: 0.4993 2024-03-04 16:42:40,894 - mmseg - INFO - Iter [33950/160000] lr: 2.713e-05, eta: 1 day, 0:47:51, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3180, decode.acc_seg: 87.1336, aux.loss_ce: 0.1707, aux.acc_seg: 83.7042, loss: 0.4887 2024-03-04 16:43:15,211 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 16:43:15,211 - mmseg - INFO - Iter [34000/160000] lr: 2.712e-05, eta: 1 day, 0:47:12, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3277, decode.acc_seg: 86.7365, aux.loss_ce: 0.1818, aux.acc_seg: 82.5692, loss: 0.5095 2024-03-04 16:43:49,365 - mmseg - INFO - Iter [34050/160000] lr: 2.711e-05, eta: 1 day, 0:46:32, time: 0.683, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3379, decode.acc_seg: 86.4785, aux.loss_ce: 0.1849, aux.acc_seg: 82.7148, loss: 0.5228 2024-03-04 16:44:23,651 - mmseg - INFO - Iter [34100/160000] lr: 2.710e-05, eta: 1 day, 0:45:52, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3121, decode.acc_seg: 87.6481, aux.loss_ce: 0.1725, aux.acc_seg: 83.6730, loss: 0.4846 2024-03-04 16:45:01,071 - mmseg - INFO - Iter [34150/160000] lr: 2.709e-05, eta: 1 day, 0:45:24, time: 0.748, data_time: 0.063, memory: 9361, decode.loss_ce: 0.2875, decode.acc_seg: 88.1299, aux.loss_ce: 0.1670, aux.acc_seg: 84.0938, loss: 0.4545 2024-03-04 16:45:35,367 - mmseg - INFO - Iter [34200/160000] lr: 2.708e-05, eta: 1 day, 0:44:45, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3018, decode.acc_seg: 88.0897, aux.loss_ce: 0.1696, aux.acc_seg: 84.0181, loss: 0.4714 2024-03-04 16:46:09,659 - mmseg - INFO - Iter [34250/160000] lr: 2.707e-05, eta: 1 day, 0:44:05, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2872, decode.acc_seg: 88.3846, aux.loss_ce: 0.1672, aux.acc_seg: 84.0386, loss: 0.4544 2024-03-04 16:46:43,835 - mmseg - INFO - Iter [34300/160000] lr: 2.706e-05, eta: 1 day, 0:43:25, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3100, decode.acc_seg: 87.9634, aux.loss_ce: 0.1700, aux.acc_seg: 84.2845, loss: 0.4800 2024-03-04 16:47:17,925 - mmseg - INFO - Iter [34350/160000] lr: 2.704e-05, eta: 1 day, 0:42:45, time: 0.682, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2844, decode.acc_seg: 88.3107, aux.loss_ce: 0.1615, aux.acc_seg: 84.5758, loss: 0.4459 2024-03-04 16:47:52,149 - mmseg - INFO - Iter [34400/160000] lr: 2.703e-05, eta: 1 day, 0:42:06, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3391, decode.acc_seg: 86.4029, aux.loss_ce: 0.1872, aux.acc_seg: 82.5976, loss: 0.5262 2024-03-04 16:48:26,333 - mmseg - INFO - Iter [34450/160000] lr: 2.702e-05, eta: 1 day, 0:41:26, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3004, decode.acc_seg: 87.7405, aux.loss_ce: 0.1720, aux.acc_seg: 83.1950, loss: 0.4723 2024-03-04 16:49:00,700 - mmseg - INFO - Iter [34500/160000] lr: 2.701e-05, eta: 1 day, 0:40:47, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3191, decode.acc_seg: 87.1548, aux.loss_ce: 0.1802, aux.acc_seg: 82.9701, loss: 0.4993 2024-03-04 16:49:35,035 - mmseg - INFO - Iter [34550/160000] lr: 2.700e-05, eta: 1 day, 0:40:07, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3070, decode.acc_seg: 87.5240, aux.loss_ce: 0.1740, aux.acc_seg: 83.6484, loss: 0.4810 2024-03-04 16:50:09,435 - mmseg - INFO - Iter [34600/160000] lr: 2.699e-05, eta: 1 day, 0:39:28, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3146, decode.acc_seg: 87.2496, aux.loss_ce: 0.1754, aux.acc_seg: 83.2033, loss: 0.4900 2024-03-04 16:50:43,734 - mmseg - INFO - Iter [34650/160000] lr: 2.698e-05, eta: 1 day, 0:38:49, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3080, decode.acc_seg: 87.6225, aux.loss_ce: 0.1740, aux.acc_seg: 83.7616, loss: 0.4820 2024-03-04 16:51:18,170 - mmseg - INFO - Iter [34700/160000] lr: 2.697e-05, eta: 1 day, 0:38:10, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3105, decode.acc_seg: 87.7324, aux.loss_ce: 0.1783, aux.acc_seg: 83.4529, loss: 0.4888 2024-03-04 16:51:52,586 - mmseg - INFO - Iter [34750/160000] lr: 2.696e-05, eta: 1 day, 0:37:31, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3296, decode.acc_seg: 86.9894, aux.loss_ce: 0.1852, aux.acc_seg: 82.5486, loss: 0.5148 2024-03-04 16:52:26,948 - mmseg - INFO - Iter [34800/160000] lr: 2.695e-05, eta: 1 day, 0:36:52, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2924, decode.acc_seg: 88.2307, aux.loss_ce: 0.1680, aux.acc_seg: 83.9627, loss: 0.4603 2024-03-04 16:53:01,377 - mmseg - INFO - Iter [34850/160000] lr: 2.694e-05, eta: 1 day, 0:36:13, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3118, decode.acc_seg: 87.9147, aux.loss_ce: 0.1724, aux.acc_seg: 84.0734, loss: 0.4841 2024-03-04 16:53:35,724 - mmseg - INFO - Iter [34900/160000] lr: 2.693e-05, eta: 1 day, 0:35:34, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3299, decode.acc_seg: 86.7298, aux.loss_ce: 0.1858, aux.acc_seg: 82.3187, loss: 0.5158 2024-03-04 16:54:10,006 - mmseg - INFO - Iter [34950/160000] lr: 2.692e-05, eta: 1 day, 0:34:55, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3277, decode.acc_seg: 87.3236, aux.loss_ce: 0.1836, aux.acc_seg: 83.2771, loss: 0.5113 2024-03-04 16:54:44,275 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 16:54:44,276 - mmseg - INFO - Iter [35000/160000] lr: 2.690e-05, eta: 1 day, 0:34:15, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3231, decode.acc_seg: 87.0547, aux.loss_ce: 0.1787, aux.acc_seg: 83.4883, loss: 0.5018 2024-03-04 16:55:18,805 - mmseg - INFO - Iter [35050/160000] lr: 2.689e-05, eta: 1 day, 0:33:37, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3297, decode.acc_seg: 87.0564, aux.loss_ce: 0.1793, aux.acc_seg: 83.3894, loss: 0.5090 2024-03-04 16:55:53,130 - mmseg - INFO - Iter [35100/160000] lr: 2.688e-05, eta: 1 day, 0:32:58, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3117, decode.acc_seg: 87.8351, aux.loss_ce: 0.1755, aux.acc_seg: 83.8563, loss: 0.4872 2024-03-04 16:56:27,473 - mmseg - INFO - Iter [35150/160000] lr: 2.687e-05, eta: 1 day, 0:32:19, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3253, decode.acc_seg: 87.1253, aux.loss_ce: 0.1806, aux.acc_seg: 83.1337, loss: 0.5060 2024-03-04 16:57:01,671 - mmseg - INFO - Iter [35200/160000] lr: 2.686e-05, eta: 1 day, 0:31:39, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3180, decode.acc_seg: 87.0981, aux.loss_ce: 0.1819, aux.acc_seg: 82.6989, loss: 0.4999 2024-03-04 16:57:35,891 - mmseg - INFO - Iter [35250/160000] lr: 2.685e-05, eta: 1 day, 0:31:00, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3162, decode.acc_seg: 87.1938, aux.loss_ce: 0.1756, aux.acc_seg: 82.9122, loss: 0.4918 2024-03-04 16:58:10,057 - mmseg - INFO - Iter [35300/160000] lr: 2.684e-05, eta: 1 day, 0:30:20, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3148, decode.acc_seg: 87.2224, aux.loss_ce: 0.1715, aux.acc_seg: 83.6715, loss: 0.4864 2024-03-04 16:58:44,469 - mmseg - INFO - Iter [35350/160000] lr: 2.683e-05, eta: 1 day, 0:29:41, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3265, decode.acc_seg: 86.6780, aux.loss_ce: 0.1777, aux.acc_seg: 82.4482, loss: 0.5042 2024-03-04 16:59:21,718 - mmseg - INFO - Iter [35400/160000] lr: 2.682e-05, eta: 1 day, 0:29:13, time: 0.745, data_time: 0.061, memory: 9361, decode.loss_ce: 0.3042, decode.acc_seg: 87.8577, aux.loss_ce: 0.1731, aux.acc_seg: 83.4346, loss: 0.4774 2024-03-04 16:59:56,131 - mmseg - INFO - Iter [35450/160000] lr: 2.681e-05, eta: 1 day, 0:28:34, time: 0.688, data_time: 0.011, memory: 9361, decode.loss_ce: 0.3077, decode.acc_seg: 87.6126, aux.loss_ce: 0.1698, aux.acc_seg: 83.7885, loss: 0.4775 2024-03-04 17:00:30,366 - mmseg - INFO - Iter [35500/160000] lr: 2.680e-05, eta: 1 day, 0:27:54, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2937, decode.acc_seg: 88.1543, aux.loss_ce: 0.1683, aux.acc_seg: 83.7308, loss: 0.4619 2024-03-04 17:01:04,877 - mmseg - INFO - Iter [35550/160000] lr: 2.679e-05, eta: 1 day, 0:27:16, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2948, decode.acc_seg: 88.0154, aux.loss_ce: 0.1679, aux.acc_seg: 84.1359, loss: 0.4627 2024-03-04 17:01:39,061 - mmseg - INFO - Iter [35600/160000] lr: 2.678e-05, eta: 1 day, 0:26:37, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3034, decode.acc_seg: 87.7773, aux.loss_ce: 0.1713, aux.acc_seg: 84.0997, loss: 0.4747 2024-03-04 17:02:13,424 - mmseg - INFO - Iter [35650/160000] lr: 2.676e-05, eta: 1 day, 0:25:58, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2875, decode.acc_seg: 88.6284, aux.loss_ce: 0.1623, aux.acc_seg: 85.1044, loss: 0.4498 2024-03-04 17:02:47,840 - mmseg - INFO - Iter [35700/160000] lr: 2.675e-05, eta: 1 day, 0:25:19, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2980, decode.acc_seg: 87.8912, aux.loss_ce: 0.1704, aux.acc_seg: 83.9321, loss: 0.4684 2024-03-04 17:03:22,122 - mmseg - INFO - Iter [35750/160000] lr: 2.674e-05, eta: 1 day, 0:24:40, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3065, decode.acc_seg: 87.4232, aux.loss_ce: 0.1770, aux.acc_seg: 83.0488, loss: 0.4835 2024-03-04 17:03:56,329 - mmseg - INFO - Iter [35800/160000] lr: 2.673e-05, eta: 1 day, 0:24:00, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3131, decode.acc_seg: 87.5300, aux.loss_ce: 0.1815, aux.acc_seg: 83.2252, loss: 0.4946 2024-03-04 17:04:30,609 - mmseg - INFO - Iter [35850/160000] lr: 2.672e-05, eta: 1 day, 0:23:21, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3025, decode.acc_seg: 87.9518, aux.loss_ce: 0.1728, aux.acc_seg: 83.7834, loss: 0.4753 2024-03-04 17:05:04,876 - mmseg - INFO - Iter [35900/160000] lr: 2.671e-05, eta: 1 day, 0:22:42, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2954, decode.acc_seg: 88.1518, aux.loss_ce: 0.1651, aux.acc_seg: 84.3391, loss: 0.4605 2024-03-04 17:05:39,266 - mmseg - INFO - Iter [35950/160000] lr: 2.670e-05, eta: 1 day, 0:22:04, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2779, decode.acc_seg: 88.6386, aux.loss_ce: 0.1553, aux.acc_seg: 85.0318, loss: 0.4332 2024-03-04 17:06:13,736 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 17:06:13,737 - mmseg - INFO - Iter [36000/160000] lr: 2.669e-05, eta: 1 day, 0:21:25, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2780, decode.acc_seg: 88.6322, aux.loss_ce: 0.1566, aux.acc_seg: 84.9663, loss: 0.4346 2024-03-04 17:06:48,214 - mmseg - INFO - Iter [36050/160000] lr: 2.668e-05, eta: 1 day, 0:20:47, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3085, decode.acc_seg: 87.1692, aux.loss_ce: 0.1724, aux.acc_seg: 83.3297, loss: 0.4809 2024-03-04 17:07:22,554 - mmseg - INFO - Iter [36100/160000] lr: 2.667e-05, eta: 1 day, 0:20:08, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3234, decode.acc_seg: 87.1784, aux.loss_ce: 0.1783, aux.acc_seg: 83.3966, loss: 0.5016 2024-03-04 17:07:56,630 - mmseg - INFO - Iter [36150/160000] lr: 2.666e-05, eta: 1 day, 0:19:28, time: 0.682, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2846, decode.acc_seg: 88.1606, aux.loss_ce: 0.1626, aux.acc_seg: 84.1675, loss: 0.4472 2024-03-04 17:08:31,045 - mmseg - INFO - Iter [36200/160000] lr: 2.665e-05, eta: 1 day, 0:18:50, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3308, decode.acc_seg: 86.4837, aux.loss_ce: 0.1873, aux.acc_seg: 82.4451, loss: 0.5181 2024-03-04 17:09:05,502 - mmseg - INFO - Iter [36250/160000] lr: 2.664e-05, eta: 1 day, 0:18:11, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3033, decode.acc_seg: 87.7461, aux.loss_ce: 0.1676, aux.acc_seg: 83.8948, loss: 0.4709 2024-03-04 17:09:39,961 - mmseg - INFO - Iter [36300/160000] lr: 2.662e-05, eta: 1 day, 0:17:33, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3154, decode.acc_seg: 87.4204, aux.loss_ce: 0.1751, aux.acc_seg: 83.4034, loss: 0.4906 2024-03-04 17:10:14,384 - mmseg - INFO - Iter [36350/160000] lr: 2.661e-05, eta: 1 day, 0:16:54, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3121, decode.acc_seg: 87.5957, aux.loss_ce: 0.1709, aux.acc_seg: 84.0263, loss: 0.4831 2024-03-04 17:10:48,709 - mmseg - INFO - Iter [36400/160000] lr: 2.660e-05, eta: 1 day, 0:16:15, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2887, decode.acc_seg: 88.3677, aux.loss_ce: 0.1603, aux.acc_seg: 84.6381, loss: 0.4490 2024-03-04 17:11:23,208 - mmseg - INFO - Iter [36450/160000] lr: 2.659e-05, eta: 1 day, 0:15:37, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3013, decode.acc_seg: 87.9543, aux.loss_ce: 0.1690, aux.acc_seg: 83.9632, loss: 0.4703 2024-03-04 17:11:57,559 - mmseg - INFO - Iter [36500/160000] lr: 2.658e-05, eta: 1 day, 0:14:59, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3195, decode.acc_seg: 86.9717, aux.loss_ce: 0.1816, aux.acc_seg: 82.9796, loss: 0.5011 2024-03-04 17:12:31,780 - mmseg - INFO - Iter [36550/160000] lr: 2.657e-05, eta: 1 day, 0:14:19, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3138, decode.acc_seg: 87.6228, aux.loss_ce: 0.1760, aux.acc_seg: 83.5438, loss: 0.4898 2024-03-04 17:13:06,024 - mmseg - INFO - Iter [36600/160000] lr: 2.656e-05, eta: 1 day, 0:13:40, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3263, decode.acc_seg: 87.3476, aux.loss_ce: 0.1766, aux.acc_seg: 83.7146, loss: 0.5030 2024-03-04 17:13:43,180 - mmseg - INFO - Iter [36650/160000] lr: 2.655e-05, eta: 1 day, 0:13:11, time: 0.743, data_time: 0.060, memory: 9361, decode.loss_ce: 0.3077, decode.acc_seg: 87.7123, aux.loss_ce: 0.1735, aux.acc_seg: 83.7361, loss: 0.4812 2024-03-04 17:14:17,476 - mmseg - INFO - Iter [36700/160000] lr: 2.654e-05, eta: 1 day, 0:12:32, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2864, decode.acc_seg: 88.5322, aux.loss_ce: 0.1563, aux.acc_seg: 85.2885, loss: 0.4426 2024-03-04 17:14:51,741 - mmseg - INFO - Iter [36750/160000] lr: 2.653e-05, eta: 1 day, 0:11:53, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3028, decode.acc_seg: 88.0609, aux.loss_ce: 0.1710, aux.acc_seg: 84.2768, loss: 0.4739 2024-03-04 17:15:25,957 - mmseg - INFO - Iter [36800/160000] lr: 2.652e-05, eta: 1 day, 0:11:14, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2719, decode.acc_seg: 88.6855, aux.loss_ce: 0.1535, aux.acc_seg: 85.3498, loss: 0.4254 2024-03-04 17:16:00,296 - mmseg - INFO - Iter [36850/160000] lr: 2.651e-05, eta: 1 day, 0:10:36, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2931, decode.acc_seg: 88.3950, aux.loss_ce: 0.1675, aux.acc_seg: 84.1199, loss: 0.4606 2024-03-04 17:16:34,712 - mmseg - INFO - Iter [36900/160000] lr: 2.650e-05, eta: 1 day, 0:09:57, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3047, decode.acc_seg: 87.6968, aux.loss_ce: 0.1689, aux.acc_seg: 84.0169, loss: 0.4736 2024-03-04 17:17:09,042 - mmseg - INFO - Iter [36950/160000] lr: 2.648e-05, eta: 1 day, 0:09:18, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3122, decode.acc_seg: 87.4623, aux.loss_ce: 0.1723, aux.acc_seg: 83.6944, loss: 0.4845 2024-03-04 17:17:43,325 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 17:17:43,325 - mmseg - INFO - Iter [37000/160000] lr: 2.647e-05, eta: 1 day, 0:08:40, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3114, decode.acc_seg: 87.5019, aux.loss_ce: 0.1764, aux.acc_seg: 83.3139, loss: 0.4878 2024-03-04 17:18:17,802 - mmseg - INFO - Iter [37050/160000] lr: 2.646e-05, eta: 1 day, 0:08:01, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2868, decode.acc_seg: 88.5446, aux.loss_ce: 0.1634, aux.acc_seg: 84.6150, loss: 0.4502 2024-03-04 17:18:51,952 - mmseg - INFO - Iter [37100/160000] lr: 2.645e-05, eta: 1 day, 0:07:22, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2873, decode.acc_seg: 88.4790, aux.loss_ce: 0.1611, aux.acc_seg: 84.7831, loss: 0.4484 2024-03-04 17:19:26,374 - mmseg - INFO - Iter [37150/160000] lr: 2.644e-05, eta: 1 day, 0:06:44, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3116, decode.acc_seg: 87.4819, aux.loss_ce: 0.1785, aux.acc_seg: 82.9879, loss: 0.4902 2024-03-04 17:20:00,809 - mmseg - INFO - Iter [37200/160000] lr: 2.643e-05, eta: 1 day, 0:06:06, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.3042, decode.acc_seg: 87.9097, aux.loss_ce: 0.1761, aux.acc_seg: 83.3681, loss: 0.4803 2024-03-04 17:20:34,993 - mmseg - INFO - Iter [37250/160000] lr: 2.642e-05, eta: 1 day, 0:05:26, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3092, decode.acc_seg: 87.5226, aux.loss_ce: 0.1750, aux.acc_seg: 83.3919, loss: 0.4842 2024-03-04 17:21:09,215 - mmseg - INFO - Iter [37300/160000] lr: 2.641e-05, eta: 1 day, 0:04:48, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3088, decode.acc_seg: 87.5327, aux.loss_ce: 0.1759, aux.acc_seg: 83.6994, loss: 0.4847 2024-03-04 17:21:43,505 - mmseg - INFO - Iter [37350/160000] lr: 2.640e-05, eta: 1 day, 0:04:09, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3055, decode.acc_seg: 87.7181, aux.loss_ce: 0.1673, aux.acc_seg: 84.1617, loss: 0.4727 2024-03-04 17:22:17,848 - mmseg - INFO - Iter [37400/160000] lr: 2.639e-05, eta: 1 day, 0:03:30, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3041, decode.acc_seg: 87.7471, aux.loss_ce: 0.1700, aux.acc_seg: 84.1311, loss: 0.4741 2024-03-04 17:22:52,468 - mmseg - INFO - Iter [37450/160000] lr: 2.638e-05, eta: 1 day, 0:02:53, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2984, decode.acc_seg: 87.9840, aux.loss_ce: 0.1665, aux.acc_seg: 84.3959, loss: 0.4648 2024-03-04 17:23:26,862 - mmseg - INFO - Iter [37500/160000] lr: 2.637e-05, eta: 1 day, 0:02:14, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2963, decode.acc_seg: 87.9251, aux.loss_ce: 0.1649, aux.acc_seg: 84.1909, loss: 0.4612 2024-03-04 17:24:01,327 - mmseg - INFO - Iter [37550/160000] lr: 2.636e-05, eta: 1 day, 0:01:36, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2771, decode.acc_seg: 88.5307, aux.loss_ce: 0.1545, aux.acc_seg: 85.1151, loss: 0.4315 2024-03-04 17:24:35,655 - mmseg - INFO - Iter [37600/160000] lr: 2.634e-05, eta: 1 day, 0:00:58, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3116, decode.acc_seg: 87.4275, aux.loss_ce: 0.1707, aux.acc_seg: 83.4538, loss: 0.4823 2024-03-04 17:25:10,184 - mmseg - INFO - Iter [37650/160000] lr: 2.633e-05, eta: 1 day, 0:00:20, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3199, decode.acc_seg: 87.1905, aux.loss_ce: 0.1752, aux.acc_seg: 83.4518, loss: 0.4951 2024-03-04 17:25:44,515 - mmseg - INFO - Iter [37700/160000] lr: 2.632e-05, eta: 23:59:41, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2989, decode.acc_seg: 87.9560, aux.loss_ce: 0.1730, aux.acc_seg: 83.6296, loss: 0.4718 2024-03-04 17:26:18,819 - mmseg - INFO - Iter [37750/160000] lr: 2.631e-05, eta: 23:59:03, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2898, decode.acc_seg: 88.1973, aux.loss_ce: 0.1637, aux.acc_seg: 84.2533, loss: 0.4535 2024-03-04 17:26:53,189 - mmseg - INFO - Iter [37800/160000] lr: 2.630e-05, eta: 23:58:24, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2952, decode.acc_seg: 88.2169, aux.loss_ce: 0.1707, aux.acc_seg: 83.7211, loss: 0.4659 2024-03-04 17:27:27,545 - mmseg - INFO - Iter [37850/160000] lr: 2.629e-05, eta: 23:57:46, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3096, decode.acc_seg: 87.4671, aux.loss_ce: 0.1742, aux.acc_seg: 83.5511, loss: 0.4839 2024-03-04 17:28:04,882 - mmseg - INFO - Iter [37900/160000] lr: 2.628e-05, eta: 23:57:17, time: 0.746, data_time: 0.059, memory: 9361, decode.loss_ce: 0.3145, decode.acc_seg: 87.4409, aux.loss_ce: 0.1774, aux.acc_seg: 83.4737, loss: 0.4918 2024-03-04 17:28:39,263 - mmseg - INFO - Iter [37950/160000] lr: 2.627e-05, eta: 23:56:39, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2998, decode.acc_seg: 87.8895, aux.loss_ce: 0.1736, aux.acc_seg: 83.7985, loss: 0.4734 2024-03-04 17:29:13,559 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 17:29:13,560 - mmseg - INFO - Iter [38000/160000] lr: 2.626e-05, eta: 23:56:00, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3065, decode.acc_seg: 87.7473, aux.loss_ce: 0.1737, aux.acc_seg: 83.7894, loss: 0.4802 2024-03-04 17:29:47,897 - mmseg - INFO - Iter [38050/160000] lr: 2.625e-05, eta: 23:55:22, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2822, decode.acc_seg: 88.6657, aux.loss_ce: 0.1584, aux.acc_seg: 85.1152, loss: 0.4406 2024-03-04 17:30:22,124 - mmseg - INFO - Iter [38100/160000] lr: 2.624e-05, eta: 23:54:43, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2875, decode.acc_seg: 88.4541, aux.loss_ce: 0.1597, aux.acc_seg: 85.0737, loss: 0.4473 2024-03-04 17:30:56,353 - mmseg - INFO - Iter [38150/160000] lr: 2.623e-05, eta: 23:54:04, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2933, decode.acc_seg: 88.2235, aux.loss_ce: 0.1701, aux.acc_seg: 83.8639, loss: 0.4634 2024-03-04 17:31:30,574 - mmseg - INFO - Iter [38200/160000] lr: 2.622e-05, eta: 23:53:25, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2819, decode.acc_seg: 88.7082, aux.loss_ce: 0.1591, aux.acc_seg: 84.8814, loss: 0.4411 2024-03-04 17:32:05,000 - mmseg - INFO - Iter [38250/160000] lr: 2.620e-05, eta: 23:52:47, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2992, decode.acc_seg: 88.0911, aux.loss_ce: 0.1691, aux.acc_seg: 84.2003, loss: 0.4683 2024-03-04 17:32:39,405 - mmseg - INFO - Iter [38300/160000] lr: 2.619e-05, eta: 23:52:09, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3033, decode.acc_seg: 88.0797, aux.loss_ce: 0.1682, aux.acc_seg: 84.2612, loss: 0.4715 2024-03-04 17:33:13,752 - mmseg - INFO - Iter [38350/160000] lr: 2.618e-05, eta: 23:51:31, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3205, decode.acc_seg: 87.9434, aux.loss_ce: 0.1743, aux.acc_seg: 84.0211, loss: 0.4948 2024-03-04 17:33:47,979 - mmseg - INFO - Iter [38400/160000] lr: 2.617e-05, eta: 23:50:52, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2998, decode.acc_seg: 87.9581, aux.loss_ce: 0.1654, aux.acc_seg: 84.2091, loss: 0.4652 2024-03-04 17:34:22,221 - mmseg - INFO - Iter [38450/160000] lr: 2.616e-05, eta: 23:50:13, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2857, decode.acc_seg: 88.5014, aux.loss_ce: 0.1571, aux.acc_seg: 84.9337, loss: 0.4429 2024-03-04 17:34:56,597 - mmseg - INFO - Iter [38500/160000] lr: 2.615e-05, eta: 23:49:35, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2878, decode.acc_seg: 88.1272, aux.loss_ce: 0.1595, aux.acc_seg: 84.5907, loss: 0.4473 2024-03-04 17:35:30,954 - mmseg - INFO - Iter [38550/160000] lr: 2.614e-05, eta: 23:48:57, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2794, decode.acc_seg: 88.3396, aux.loss_ce: 0.1575, aux.acc_seg: 84.7894, loss: 0.4369 2024-03-04 17:36:05,443 - mmseg - INFO - Iter [38600/160000] lr: 2.613e-05, eta: 23:48:19, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2924, decode.acc_seg: 88.3106, aux.loss_ce: 0.1634, aux.acc_seg: 84.4423, loss: 0.4558 2024-03-04 17:36:39,974 - mmseg - INFO - Iter [38650/160000] lr: 2.612e-05, eta: 23:47:41, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2893, decode.acc_seg: 88.4763, aux.loss_ce: 0.1642, aux.acc_seg: 84.4489, loss: 0.4535 2024-03-04 17:37:14,527 - mmseg - INFO - Iter [38700/160000] lr: 2.611e-05, eta: 23:47:04, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3120, decode.acc_seg: 87.5363, aux.loss_ce: 0.1705, aux.acc_seg: 83.7737, loss: 0.4825 2024-03-04 17:37:49,020 - mmseg - INFO - Iter [38750/160000] lr: 2.610e-05, eta: 23:46:26, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2993, decode.acc_seg: 87.8663, aux.loss_ce: 0.1693, aux.acc_seg: 83.5936, loss: 0.4686 2024-03-04 17:38:23,388 - mmseg - INFO - Iter [38800/160000] lr: 2.609e-05, eta: 23:45:48, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3210, decode.acc_seg: 87.1417, aux.loss_ce: 0.1803, aux.acc_seg: 83.1153, loss: 0.5013 2024-03-04 17:38:57,764 - mmseg - INFO - Iter [38850/160000] lr: 2.608e-05, eta: 23:45:10, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3009, decode.acc_seg: 87.9463, aux.loss_ce: 0.1717, aux.acc_seg: 83.9171, loss: 0.4726 2024-03-04 17:39:32,179 - mmseg - INFO - Iter [38900/160000] lr: 2.607e-05, eta: 23:44:32, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3211, decode.acc_seg: 86.9133, aux.loss_ce: 0.1772, aux.acc_seg: 83.0599, loss: 0.4983 2024-03-04 17:40:06,525 - mmseg - INFO - Iter [38950/160000] lr: 2.605e-05, eta: 23:43:53, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2907, decode.acc_seg: 88.0516, aux.loss_ce: 0.1662, aux.acc_seg: 84.1817, loss: 0.4569 2024-03-04 17:40:40,901 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 17:40:40,901 - mmseg - INFO - Iter [39000/160000] lr: 2.604e-05, eta: 23:43:15, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2924, decode.acc_seg: 88.0468, aux.loss_ce: 0.1677, aux.acc_seg: 83.7960, loss: 0.4602 2024-03-04 17:41:15,237 - mmseg - INFO - Iter [39050/160000] lr: 2.603e-05, eta: 23:42:37, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3399, decode.acc_seg: 86.8760, aux.loss_ce: 0.1833, aux.acc_seg: 83.1539, loss: 0.5232 2024-03-04 17:41:49,806 - mmseg - INFO - Iter [39100/160000] lr: 2.602e-05, eta: 23:42:00, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2944, decode.acc_seg: 88.0610, aux.loss_ce: 0.1665, aux.acc_seg: 84.2582, loss: 0.4610 2024-03-04 17:42:24,305 - mmseg - INFO - Iter [39150/160000] lr: 2.601e-05, eta: 23:41:22, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2967, decode.acc_seg: 88.2137, aux.loss_ce: 0.1714, aux.acc_seg: 83.7357, loss: 0.4681 2024-03-04 17:43:01,854 - mmseg - INFO - Iter [39200/160000] lr: 2.600e-05, eta: 23:40:54, time: 0.751, data_time: 0.057, memory: 9361, decode.loss_ce: 0.2882, decode.acc_seg: 88.6073, aux.loss_ce: 0.1618, aux.acc_seg: 84.6671, loss: 0.4499 2024-03-04 17:43:36,172 - mmseg - INFO - Iter [39250/160000] lr: 2.599e-05, eta: 23:40:15, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3022, decode.acc_seg: 87.4063, aux.loss_ce: 0.1705, aux.acc_seg: 83.2837, loss: 0.4728 2024-03-04 17:44:10,770 - mmseg - INFO - Iter [39300/160000] lr: 2.598e-05, eta: 23:39:38, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2743, decode.acc_seg: 88.8603, aux.loss_ce: 0.1563, aux.acc_seg: 85.1135, loss: 0.4307 2024-03-04 17:44:45,094 - mmseg - INFO - Iter [39350/160000] lr: 2.597e-05, eta: 23:39:00, time: 0.687, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2792, decode.acc_seg: 88.5702, aux.loss_ce: 0.1588, aux.acc_seg: 84.4164, loss: 0.4379 2024-03-04 17:45:19,590 - mmseg - INFO - Iter [39400/160000] lr: 2.596e-05, eta: 23:38:22, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.3014, decode.acc_seg: 87.6051, aux.loss_ce: 0.1673, aux.acc_seg: 83.6100, loss: 0.4687 2024-03-04 17:45:54,099 - mmseg - INFO - Iter [39450/160000] lr: 2.595e-05, eta: 23:37:44, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2718, decode.acc_seg: 88.9215, aux.loss_ce: 0.1566, aux.acc_seg: 84.9109, loss: 0.4284 2024-03-04 17:46:28,324 - mmseg - INFO - Iter [39500/160000] lr: 2.594e-05, eta: 23:37:06, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2880, decode.acc_seg: 88.4681, aux.loss_ce: 0.1593, aux.acc_seg: 84.8538, loss: 0.4473 2024-03-04 17:47:02,753 - mmseg - INFO - Iter [39550/160000] lr: 2.593e-05, eta: 23:36:28, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2855, decode.acc_seg: 88.4690, aux.loss_ce: 0.1647, aux.acc_seg: 84.2792, loss: 0.4502 2024-03-04 17:47:37,122 - mmseg - INFO - Iter [39600/160000] lr: 2.591e-05, eta: 23:35:50, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2870, decode.acc_seg: 88.5830, aux.loss_ce: 0.1630, aux.acc_seg: 84.7464, loss: 0.4500 2024-03-04 17:48:11,358 - mmseg - INFO - Iter [39650/160000] lr: 2.590e-05, eta: 23:35:11, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2755, decode.acc_seg: 89.2533, aux.loss_ce: 0.1564, aux.acc_seg: 85.3034, loss: 0.4319 2024-03-04 17:48:45,767 - mmseg - INFO - Iter [39700/160000] lr: 2.589e-05, eta: 23:34:33, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2874, decode.acc_seg: 88.3092, aux.loss_ce: 0.1604, aux.acc_seg: 84.7643, loss: 0.4478 2024-03-04 17:49:19,990 - mmseg - INFO - Iter [39750/160000] lr: 2.588e-05, eta: 23:33:55, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2810, decode.acc_seg: 88.9238, aux.loss_ce: 0.1561, aux.acc_seg: 85.2945, loss: 0.4371 2024-03-04 17:49:54,290 - mmseg - INFO - Iter [39800/160000] lr: 2.587e-05, eta: 23:33:17, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2907, decode.acc_seg: 88.1901, aux.loss_ce: 0.1645, aux.acc_seg: 83.9045, loss: 0.4552 2024-03-04 17:50:28,739 - mmseg - INFO - Iter [39850/160000] lr: 2.586e-05, eta: 23:32:39, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2983, decode.acc_seg: 88.0110, aux.loss_ce: 0.1691, aux.acc_seg: 83.8833, loss: 0.4674 2024-03-04 17:51:03,080 - mmseg - INFO - Iter [39900/160000] lr: 2.585e-05, eta: 23:32:01, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3070, decode.acc_seg: 87.7152, aux.loss_ce: 0.1718, aux.acc_seg: 84.0235, loss: 0.4788 2024-03-04 17:51:37,703 - mmseg - INFO - Iter [39950/160000] lr: 2.584e-05, eta: 23:31:24, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2981, decode.acc_seg: 88.2441, aux.loss_ce: 0.1650, aux.acc_seg: 84.4293, loss: 0.4632 2024-03-04 17:52:11,823 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 17:52:11,823 - mmseg - INFO - Iter [40000/160000] lr: 2.583e-05, eta: 23:30:45, time: 0.682, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2958, decode.acc_seg: 88.0210, aux.loss_ce: 0.1630, aux.acc_seg: 84.0936, loss: 0.4588 2024-03-04 17:52:46,101 - mmseg - INFO - Iter [40050/160000] lr: 2.582e-05, eta: 23:30:07, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2962, decode.acc_seg: 88.0327, aux.loss_ce: 0.1637, aux.acc_seg: 84.2297, loss: 0.4599 2024-03-04 17:53:20,365 - mmseg - INFO - Iter [40100/160000] lr: 2.581e-05, eta: 23:29:29, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2882, decode.acc_seg: 88.3555, aux.loss_ce: 0.1624, aux.acc_seg: 84.6638, loss: 0.4506 2024-03-04 17:53:54,860 - mmseg - INFO - Iter [40150/160000] lr: 2.580e-05, eta: 23:28:51, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2708, decode.acc_seg: 89.1830, aux.loss_ce: 0.1530, aux.acc_seg: 85.4485, loss: 0.4237 2024-03-04 17:54:29,260 - mmseg - INFO - Iter [40200/160000] lr: 2.579e-05, eta: 23:28:13, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2729, decode.acc_seg: 88.7682, aux.loss_ce: 0.1601, aux.acc_seg: 84.6437, loss: 0.4330 2024-03-04 17:55:03,528 - mmseg - INFO - Iter [40250/160000] lr: 2.577e-05, eta: 23:27:35, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2949, decode.acc_seg: 87.9733, aux.loss_ce: 0.1676, aux.acc_seg: 84.0169, loss: 0.4625 2024-03-04 17:55:37,987 - mmseg - INFO - Iter [40300/160000] lr: 2.576e-05, eta: 23:26:57, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3013, decode.acc_seg: 87.6936, aux.loss_ce: 0.1640, aux.acc_seg: 84.1761, loss: 0.4653 2024-03-04 17:56:12,606 - mmseg - INFO - Iter [40350/160000] lr: 2.575e-05, eta: 23:26:20, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3049, decode.acc_seg: 87.9619, aux.loss_ce: 0.1712, aux.acc_seg: 84.0527, loss: 0.4761 2024-03-04 17:56:47,099 - mmseg - INFO - Iter [40400/160000] lr: 2.574e-05, eta: 23:25:43, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2962, decode.acc_seg: 88.0836, aux.loss_ce: 0.1658, aux.acc_seg: 84.0675, loss: 0.4621 2024-03-04 17:57:24,890 - mmseg - INFO - Iter [40450/160000] lr: 2.573e-05, eta: 23:25:15, time: 0.756, data_time: 0.073, memory: 9361, decode.loss_ce: 0.2976, decode.acc_seg: 87.9812, aux.loss_ce: 0.1681, aux.acc_seg: 84.1451, loss: 0.4656 2024-03-04 17:57:59,271 - mmseg - INFO - Iter [40500/160000] lr: 2.572e-05, eta: 23:24:37, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2934, decode.acc_seg: 88.2468, aux.loss_ce: 0.1648, aux.acc_seg: 84.7457, loss: 0.4582 2024-03-04 17:58:33,524 - mmseg - INFO - Iter [40550/160000] lr: 2.571e-05, eta: 23:23:59, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2744, decode.acc_seg: 88.9574, aux.loss_ce: 0.1540, aux.acc_seg: 85.4720, loss: 0.4284 2024-03-04 17:59:07,834 - mmseg - INFO - Iter [40600/160000] lr: 2.570e-05, eta: 23:23:21, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2669, decode.acc_seg: 89.1408, aux.loss_ce: 0.1574, aux.acc_seg: 85.1287, loss: 0.4243 2024-03-04 17:59:42,168 - mmseg - INFO - Iter [40650/160000] lr: 2.569e-05, eta: 23:22:43, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2755, decode.acc_seg: 88.7336, aux.loss_ce: 0.1625, aux.acc_seg: 84.5372, loss: 0.4381 2024-03-04 18:00:16,482 - mmseg - INFO - Iter [40700/160000] lr: 2.568e-05, eta: 23:22:05, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2722, decode.acc_seg: 88.7182, aux.loss_ce: 0.1576, aux.acc_seg: 84.6373, loss: 0.4299 2024-03-04 18:00:50,668 - mmseg - INFO - Iter [40750/160000] lr: 2.567e-05, eta: 23:21:26, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2805, decode.acc_seg: 88.7296, aux.loss_ce: 0.1588, aux.acc_seg: 84.8959, loss: 0.4392 2024-03-04 18:01:25,057 - mmseg - INFO - Iter [40800/160000] lr: 2.566e-05, eta: 23:20:48, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2652, decode.acc_seg: 89.0579, aux.loss_ce: 0.1514, aux.acc_seg: 85.1313, loss: 0.4167 2024-03-04 18:01:59,395 - mmseg - INFO - Iter [40850/160000] lr: 2.565e-05, eta: 23:20:10, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2808, decode.acc_seg: 88.3454, aux.loss_ce: 0.1558, aux.acc_seg: 84.8264, loss: 0.4366 2024-03-04 18:02:33,753 - mmseg - INFO - Iter [40900/160000] lr: 2.563e-05, eta: 23:19:33, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2825, decode.acc_seg: 88.5224, aux.loss_ce: 0.1629, aux.acc_seg: 84.3690, loss: 0.4454 2024-03-04 18:03:08,155 - mmseg - INFO - Iter [40950/160000] lr: 2.562e-05, eta: 23:18:55, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2707, decode.acc_seg: 89.1295, aux.loss_ce: 0.1515, aux.acc_seg: 85.3586, loss: 0.4222 2024-03-04 18:03:42,474 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 18:03:42,475 - mmseg - INFO - Iter [41000/160000] lr: 2.561e-05, eta: 23:18:17, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2583, decode.acc_seg: 89.2149, aux.loss_ce: 0.1472, aux.acc_seg: 85.6634, loss: 0.4055 2024-03-04 18:04:16,796 - mmseg - INFO - Iter [41050/160000] lr: 2.560e-05, eta: 23:17:39, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2777, decode.acc_seg: 88.5290, aux.loss_ce: 0.1568, aux.acc_seg: 84.7218, loss: 0.4345 2024-03-04 18:04:51,190 - mmseg - INFO - Iter [41100/160000] lr: 2.559e-05, eta: 23:17:01, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2797, decode.acc_seg: 88.9349, aux.loss_ce: 0.1612, aux.acc_seg: 85.0613, loss: 0.4410 2024-03-04 18:05:25,671 - mmseg - INFO - Iter [41150/160000] lr: 2.558e-05, eta: 23:16:24, time: 0.690, data_time: 0.013, memory: 9361, decode.loss_ce: 0.2964, decode.acc_seg: 88.1290, aux.loss_ce: 0.1682, aux.acc_seg: 84.0856, loss: 0.4646 2024-03-04 18:05:59,990 - mmseg - INFO - Iter [41200/160000] lr: 2.557e-05, eta: 23:15:46, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2819, decode.acc_seg: 88.8982, aux.loss_ce: 0.1510, aux.acc_seg: 85.5637, loss: 0.4329 2024-03-04 18:06:34,278 - mmseg - INFO - Iter [41250/160000] lr: 2.556e-05, eta: 23:15:08, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2771, decode.acc_seg: 88.5383, aux.loss_ce: 0.1625, aux.acc_seg: 84.1808, loss: 0.4396 2024-03-04 18:07:08,659 - mmseg - INFO - Iter [41300/160000] lr: 2.555e-05, eta: 23:14:30, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2772, decode.acc_seg: 88.7076, aux.loss_ce: 0.1592, aux.acc_seg: 84.9810, loss: 0.4364 2024-03-04 18:07:43,079 - mmseg - INFO - Iter [41350/160000] lr: 2.554e-05, eta: 23:13:52, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2714, decode.acc_seg: 89.0226, aux.loss_ce: 0.1575, aux.acc_seg: 84.7747, loss: 0.4289 2024-03-04 18:08:17,573 - mmseg - INFO - Iter [41400/160000] lr: 2.553e-05, eta: 23:13:15, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2938, decode.acc_seg: 87.7972, aux.loss_ce: 0.1695, aux.acc_seg: 83.4998, loss: 0.4633 2024-03-04 18:08:52,013 - mmseg - INFO - Iter [41450/160000] lr: 2.552e-05, eta: 23:12:38, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3028, decode.acc_seg: 87.9184, aux.loss_ce: 0.1700, aux.acc_seg: 83.9857, loss: 0.4728 2024-03-04 18:09:26,305 - mmseg - INFO - Iter [41500/160000] lr: 2.551e-05, eta: 23:12:00, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3071, decode.acc_seg: 87.5245, aux.loss_ce: 0.1774, aux.acc_seg: 83.5174, loss: 0.4845 2024-03-04 18:10:00,652 - mmseg - INFO - Iter [41550/160000] lr: 2.549e-05, eta: 23:11:22, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3002, decode.acc_seg: 87.7869, aux.loss_ce: 0.1645, aux.acc_seg: 84.2548, loss: 0.4647 2024-03-04 18:10:35,036 - mmseg - INFO - Iter [41600/160000] lr: 2.548e-05, eta: 23:10:44, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3137, decode.acc_seg: 87.3243, aux.loss_ce: 0.1814, aux.acc_seg: 82.6770, loss: 0.4950 2024-03-04 18:11:09,417 - mmseg - INFO - Iter [41650/160000] lr: 2.547e-05, eta: 23:10:06, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2903, decode.acc_seg: 88.3039, aux.loss_ce: 0.1611, aux.acc_seg: 84.6084, loss: 0.4514 2024-03-04 18:11:46,676 - mmseg - INFO - Iter [41700/160000] lr: 2.546e-05, eta: 23:09:37, time: 0.745, data_time: 0.066, memory: 9361, decode.loss_ce: 0.2892, decode.acc_seg: 88.3593, aux.loss_ce: 0.1656, aux.acc_seg: 84.4003, loss: 0.4548 2024-03-04 18:12:21,244 - mmseg - INFO - Iter [41750/160000] lr: 2.545e-05, eta: 23:09:00, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2876, decode.acc_seg: 88.4961, aux.loss_ce: 0.1605, aux.acc_seg: 84.9127, loss: 0.4481 2024-03-04 18:12:55,586 - mmseg - INFO - Iter [41800/160000] lr: 2.544e-05, eta: 23:08:22, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2779, decode.acc_seg: 88.7618, aux.loss_ce: 0.1547, aux.acc_seg: 84.9644, loss: 0.4327 2024-03-04 18:13:30,014 - mmseg - INFO - Iter [41850/160000] lr: 2.543e-05, eta: 23:07:44, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2786, decode.acc_seg: 88.7095, aux.loss_ce: 0.1560, aux.acc_seg: 85.0773, loss: 0.4347 2024-03-04 18:14:04,519 - mmseg - INFO - Iter [41900/160000] lr: 2.542e-05, eta: 23:07:07, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2795, decode.acc_seg: 88.3751, aux.loss_ce: 0.1585, aux.acc_seg: 84.5840, loss: 0.4380 2024-03-04 18:14:38,840 - mmseg - INFO - Iter [41950/160000] lr: 2.541e-05, eta: 23:06:29, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2818, decode.acc_seg: 88.7954, aux.loss_ce: 0.1604, aux.acc_seg: 84.9668, loss: 0.4422 2024-03-04 18:15:12,963 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 18:15:12,964 - mmseg - INFO - Iter [42000/160000] lr: 2.540e-05, eta: 23:05:51, time: 0.682, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2762, decode.acc_seg: 88.5577, aux.loss_ce: 0.1553, aux.acc_seg: 84.7688, loss: 0.4315 2024-03-04 18:15:47,418 - mmseg - INFO - Iter [42050/160000] lr: 2.539e-05, eta: 23:05:14, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2734, decode.acc_seg: 89.0719, aux.loss_ce: 0.1547, aux.acc_seg: 85.1582, loss: 0.4282 2024-03-04 18:16:21,838 - mmseg - INFO - Iter [42100/160000] lr: 2.538e-05, eta: 23:04:36, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2794, decode.acc_seg: 88.7142, aux.loss_ce: 0.1512, aux.acc_seg: 85.5895, loss: 0.4307 2024-03-04 18:16:56,049 - mmseg - INFO - Iter [42150/160000] lr: 2.537e-05, eta: 23:03:58, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2849, decode.acc_seg: 88.4277, aux.loss_ce: 0.1605, aux.acc_seg: 84.5997, loss: 0.4454 2024-03-04 18:17:30,402 - mmseg - INFO - Iter [42200/160000] lr: 2.535e-05, eta: 23:03:20, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2923, decode.acc_seg: 88.4578, aux.loss_ce: 0.1667, aux.acc_seg: 84.3532, loss: 0.4590 2024-03-04 18:18:04,875 - mmseg - INFO - Iter [42250/160000] lr: 2.534e-05, eta: 23:02:43, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3049, decode.acc_seg: 87.7941, aux.loss_ce: 0.1696, aux.acc_seg: 83.8466, loss: 0.4745 2024-03-04 18:18:39,273 - mmseg - INFO - Iter [42300/160000] lr: 2.533e-05, eta: 23:02:05, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2988, decode.acc_seg: 87.8701, aux.loss_ce: 0.1678, aux.acc_seg: 83.7358, loss: 0.4666 2024-03-04 18:19:13,623 - mmseg - INFO - Iter [42350/160000] lr: 2.532e-05, eta: 23:01:28, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2849, decode.acc_seg: 88.2806, aux.loss_ce: 0.1650, aux.acc_seg: 84.0018, loss: 0.4499 2024-03-04 18:19:48,030 - mmseg - INFO - Iter [42400/160000] lr: 2.531e-05, eta: 23:00:50, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2677, decode.acc_seg: 89.0610, aux.loss_ce: 0.1547, aux.acc_seg: 85.0269, loss: 0.4225 2024-03-04 18:20:22,235 - mmseg - INFO - Iter [42450/160000] lr: 2.530e-05, eta: 23:00:12, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2785, decode.acc_seg: 88.6072, aux.loss_ce: 0.1549, aux.acc_seg: 85.0439, loss: 0.4334 2024-03-04 18:20:56,652 - mmseg - INFO - Iter [42500/160000] lr: 2.529e-05, eta: 22:59:35, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2717, decode.acc_seg: 88.6865, aux.loss_ce: 0.1545, aux.acc_seg: 85.0712, loss: 0.4262 2024-03-04 18:21:31,031 - mmseg - INFO - Iter [42550/160000] lr: 2.528e-05, eta: 22:58:57, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2739, decode.acc_seg: 88.8657, aux.loss_ce: 0.1531, aux.acc_seg: 85.2437, loss: 0.4271 2024-03-04 18:22:05,441 - mmseg - INFO - Iter [42600/160000] lr: 2.527e-05, eta: 22:58:20, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2540, decode.acc_seg: 89.6243, aux.loss_ce: 0.1475, aux.acc_seg: 85.6941, loss: 0.4016 2024-03-04 18:22:39,748 - mmseg - INFO - Iter [42650/160000] lr: 2.526e-05, eta: 22:57:42, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2846, decode.acc_seg: 88.2972, aux.loss_ce: 0.1617, aux.acc_seg: 84.2817, loss: 0.4463 2024-03-04 18:23:13,979 - mmseg - INFO - Iter [42700/160000] lr: 2.525e-05, eta: 22:57:04, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2762, decode.acc_seg: 88.8873, aux.loss_ce: 0.1596, aux.acc_seg: 84.7909, loss: 0.4358 2024-03-04 18:23:48,182 - mmseg - INFO - Iter [42750/160000] lr: 2.524e-05, eta: 22:56:26, time: 0.684, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2787, decode.acc_seg: 88.8465, aux.loss_ce: 0.1563, aux.acc_seg: 85.0750, loss: 0.4349 2024-03-04 18:24:22,528 - mmseg - INFO - Iter [42800/160000] lr: 2.523e-05, eta: 22:55:48, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2736, decode.acc_seg: 88.8386, aux.loss_ce: 0.1592, aux.acc_seg: 84.5529, loss: 0.4328 2024-03-04 18:24:57,049 - mmseg - INFO - Iter [42850/160000] lr: 2.521e-05, eta: 22:55:11, time: 0.690, data_time: 0.016, memory: 9361, decode.loss_ce: 0.2570, decode.acc_seg: 89.3492, aux.loss_ce: 0.1462, aux.acc_seg: 85.7778, loss: 0.4032 2024-03-04 18:25:31,514 - mmseg - INFO - Iter [42900/160000] lr: 2.520e-05, eta: 22:54:34, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2899, decode.acc_seg: 88.2811, aux.loss_ce: 0.1663, aux.acc_seg: 84.6589, loss: 0.4562 2024-03-04 18:26:08,964 - mmseg - INFO - Iter [42950/160000] lr: 2.519e-05, eta: 22:54:05, time: 0.749, data_time: 0.063, memory: 9361, decode.loss_ce: 0.2784, decode.acc_seg: 88.8146, aux.loss_ce: 0.1569, aux.acc_seg: 84.9527, loss: 0.4353 2024-03-04 18:26:43,256 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 18:26:43,256 - mmseg - INFO - Iter [43000/160000] lr: 2.518e-05, eta: 22:53:27, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2750, decode.acc_seg: 88.9906, aux.loss_ce: 0.1508, aux.acc_seg: 85.5983, loss: 0.4259 2024-03-04 18:27:17,496 - mmseg - INFO - Iter [43050/160000] lr: 2.517e-05, eta: 22:52:49, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2729, decode.acc_seg: 88.7487, aux.loss_ce: 0.1549, aux.acc_seg: 84.9090, loss: 0.4278 2024-03-04 18:27:51,847 - mmseg - INFO - Iter [43100/160000] lr: 2.516e-05, eta: 22:52:12, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2637, decode.acc_seg: 89.1163, aux.loss_ce: 0.1499, aux.acc_seg: 85.5001, loss: 0.4136 2024-03-04 18:28:26,168 - mmseg - INFO - Iter [43150/160000] lr: 2.515e-05, eta: 22:51:34, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2632, decode.acc_seg: 89.0977, aux.loss_ce: 0.1512, aux.acc_seg: 85.4780, loss: 0.4144 2024-03-04 18:29:00,345 - mmseg - INFO - Iter [43200/160000] lr: 2.514e-05, eta: 22:50:56, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2757, decode.acc_seg: 88.9174, aux.loss_ce: 0.1610, aux.acc_seg: 84.5961, loss: 0.4368 2024-03-04 18:29:34,642 - mmseg - INFO - Iter [43250/160000] lr: 2.513e-05, eta: 22:50:18, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2730, decode.acc_seg: 88.8131, aux.loss_ce: 0.1552, aux.acc_seg: 84.9473, loss: 0.4282 2024-03-04 18:30:09,022 - mmseg - INFO - Iter [43300/160000] lr: 2.512e-05, eta: 22:49:41, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2740, decode.acc_seg: 89.0195, aux.loss_ce: 0.1580, aux.acc_seg: 85.1952, loss: 0.4320 2024-03-04 18:30:43,266 - mmseg - INFO - Iter [43350/160000] lr: 2.511e-05, eta: 22:49:03, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2568, decode.acc_seg: 89.2467, aux.loss_ce: 0.1516, aux.acc_seg: 85.1013, loss: 0.4084 2024-03-04 18:31:17,571 - mmseg - INFO - Iter [43400/160000] lr: 2.510e-05, eta: 22:48:25, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2801, decode.acc_seg: 88.6085, aux.loss_ce: 0.1551, aux.acc_seg: 85.1612, loss: 0.4353 2024-03-04 18:31:51,922 - mmseg - INFO - Iter [43450/160000] lr: 2.509e-05, eta: 22:47:48, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2713, decode.acc_seg: 89.0004, aux.loss_ce: 0.1569, aux.acc_seg: 84.9438, loss: 0.4282 2024-03-04 18:32:26,428 - mmseg - INFO - Iter [43500/160000] lr: 2.507e-05, eta: 22:47:11, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2815, decode.acc_seg: 88.7139, aux.loss_ce: 0.1630, aux.acc_seg: 84.5192, loss: 0.4445 2024-03-04 18:33:00,780 - mmseg - INFO - Iter [43550/160000] lr: 2.506e-05, eta: 22:46:33, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2647, decode.acc_seg: 89.3290, aux.loss_ce: 0.1584, aux.acc_seg: 85.0384, loss: 0.4230 2024-03-04 18:33:35,084 - mmseg - INFO - Iter [43600/160000] lr: 2.505e-05, eta: 22:45:56, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2738, decode.acc_seg: 88.8435, aux.loss_ce: 0.1582, aux.acc_seg: 85.0430, loss: 0.4319 2024-03-04 18:34:09,279 - mmseg - INFO - Iter [43650/160000] lr: 2.504e-05, eta: 22:45:18, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2565, decode.acc_seg: 89.3663, aux.loss_ce: 0.1484, aux.acc_seg: 85.4476, loss: 0.4049 2024-03-04 18:34:43,625 - mmseg - INFO - Iter [43700/160000] lr: 2.503e-05, eta: 22:44:40, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2754, decode.acc_seg: 88.8805, aux.loss_ce: 0.1522, aux.acc_seg: 85.2610, loss: 0.4276 2024-03-04 18:35:18,311 - mmseg - INFO - Iter [43750/160000] lr: 2.502e-05, eta: 22:44:04, time: 0.694, data_time: 0.008, memory: 9361, decode.loss_ce: 0.3153, decode.acc_seg: 87.8252, aux.loss_ce: 0.1723, aux.acc_seg: 83.8865, loss: 0.4876 2024-03-04 18:35:52,616 - mmseg - INFO - Iter [43800/160000] lr: 2.501e-05, eta: 22:43:26, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2979, decode.acc_seg: 88.3769, aux.loss_ce: 0.1661, aux.acc_seg: 84.9117, loss: 0.4640 2024-03-04 18:36:26,877 - mmseg - INFO - Iter [43850/160000] lr: 2.500e-05, eta: 22:42:49, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2812, decode.acc_seg: 88.6460, aux.loss_ce: 0.1588, aux.acc_seg: 84.6123, loss: 0.4400 2024-03-04 18:37:01,132 - mmseg - INFO - Iter [43900/160000] lr: 2.499e-05, eta: 22:42:11, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.3023, decode.acc_seg: 88.1916, aux.loss_ce: 0.1671, aux.acc_seg: 84.6390, loss: 0.4694 2024-03-04 18:37:35,390 - mmseg - INFO - Iter [43950/160000] lr: 2.498e-05, eta: 22:41:33, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2780, decode.acc_seg: 88.9476, aux.loss_ce: 0.1571, aux.acc_seg: 85.0645, loss: 0.4351 2024-03-04 18:38:09,802 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 18:38:09,803 - mmseg - INFO - Iter [44000/160000] lr: 2.497e-05, eta: 22:40:56, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2659, decode.acc_seg: 89.0617, aux.loss_ce: 0.1529, aux.acc_seg: 85.3543, loss: 0.4188 2024-03-04 18:38:44,149 - mmseg - INFO - Iter [44050/160000] lr: 2.496e-05, eta: 22:40:18, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2768, decode.acc_seg: 88.8444, aux.loss_ce: 0.1540, aux.acc_seg: 85.4026, loss: 0.4308 2024-03-04 18:39:18,545 - mmseg - INFO - Iter [44100/160000] lr: 2.495e-05, eta: 22:39:41, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2660, decode.acc_seg: 89.2956, aux.loss_ce: 0.1464, aux.acc_seg: 85.8082, loss: 0.4123 2024-03-04 18:39:53,027 - mmseg - INFO - Iter [44150/160000] lr: 2.494e-05, eta: 22:39:04, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2907, decode.acc_seg: 87.8033, aux.loss_ce: 0.1628, aux.acc_seg: 83.8187, loss: 0.4535 2024-03-04 18:40:27,493 - mmseg - INFO - Iter [44200/160000] lr: 2.492e-05, eta: 22:38:27, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2775, decode.acc_seg: 89.0301, aux.loss_ce: 0.1537, aux.acc_seg: 85.4929, loss: 0.4312 2024-03-04 18:41:05,091 - mmseg - INFO - Iter [44250/160000] lr: 2.491e-05, eta: 22:37:58, time: 0.752, data_time: 0.062, memory: 9361, decode.loss_ce: 0.2515, decode.acc_seg: 89.7657, aux.loss_ce: 0.1491, aux.acc_seg: 85.6102, loss: 0.4007 2024-03-04 18:41:39,340 - mmseg - INFO - Iter [44300/160000] lr: 2.490e-05, eta: 22:37:20, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2630, decode.acc_seg: 89.3742, aux.loss_ce: 0.1506, aux.acc_seg: 85.5828, loss: 0.4136 2024-03-04 18:42:13,901 - mmseg - INFO - Iter [44350/160000] lr: 2.489e-05, eta: 22:36:44, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2732, decode.acc_seg: 88.9458, aux.loss_ce: 0.1566, aux.acc_seg: 85.1406, loss: 0.4298 2024-03-04 18:42:48,225 - mmseg - INFO - Iter [44400/160000] lr: 2.488e-05, eta: 22:36:06, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2825, decode.acc_seg: 88.5987, aux.loss_ce: 0.1594, aux.acc_seg: 84.7260, loss: 0.4418 2024-03-04 18:43:22,512 - mmseg - INFO - Iter [44450/160000] lr: 2.487e-05, eta: 22:35:29, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2671, decode.acc_seg: 89.1081, aux.loss_ce: 0.1588, aux.acc_seg: 85.0732, loss: 0.4259 2024-03-04 18:43:56,958 - mmseg - INFO - Iter [44500/160000] lr: 2.486e-05, eta: 22:34:51, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2736, decode.acc_seg: 88.8211, aux.loss_ce: 0.1573, aux.acc_seg: 85.0435, loss: 0.4309 2024-03-04 18:44:31,294 - mmseg - INFO - Iter [44550/160000] lr: 2.485e-05, eta: 22:34:14, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2676, decode.acc_seg: 88.8653, aux.loss_ce: 0.1520, aux.acc_seg: 85.2199, loss: 0.4196 2024-03-04 18:45:05,779 - mmseg - INFO - Iter [44600/160000] lr: 2.484e-05, eta: 22:33:37, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2562, decode.acc_seg: 89.2831, aux.loss_ce: 0.1501, aux.acc_seg: 85.3616, loss: 0.4063 2024-03-04 18:45:40,244 - mmseg - INFO - Iter [44650/160000] lr: 2.483e-05, eta: 22:33:00, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2669, decode.acc_seg: 88.9370, aux.loss_ce: 0.1530, aux.acc_seg: 85.3422, loss: 0.4198 2024-03-04 18:46:14,631 - mmseg - INFO - Iter [44700/160000] lr: 2.482e-05, eta: 22:32:23, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2802, decode.acc_seg: 88.4663, aux.loss_ce: 0.1568, aux.acc_seg: 84.8679, loss: 0.4371 2024-03-04 18:46:48,747 - mmseg - INFO - Iter [44750/160000] lr: 2.481e-05, eta: 22:31:45, time: 0.682, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2802, decode.acc_seg: 88.7508, aux.loss_ce: 0.1576, aux.acc_seg: 85.1064, loss: 0.4378 2024-03-04 18:47:23,141 - mmseg - INFO - Iter [44800/160000] lr: 2.480e-05, eta: 22:31:08, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2729, decode.acc_seg: 88.9765, aux.loss_ce: 0.1524, aux.acc_seg: 85.4327, loss: 0.4253 2024-03-04 18:47:57,621 - mmseg - INFO - Iter [44850/160000] lr: 2.478e-05, eta: 22:30:31, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2672, decode.acc_seg: 89.0479, aux.loss_ce: 0.1497, aux.acc_seg: 85.3274, loss: 0.4169 2024-03-04 18:48:31,939 - mmseg - INFO - Iter [44900/160000] lr: 2.477e-05, eta: 22:29:53, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2685, decode.acc_seg: 89.1282, aux.loss_ce: 0.1507, aux.acc_seg: 85.3749, loss: 0.4192 2024-03-04 18:49:06,402 - mmseg - INFO - Iter [44950/160000] lr: 2.476e-05, eta: 22:29:16, time: 0.689, data_time: 0.012, memory: 9361, decode.loss_ce: 0.2611, decode.acc_seg: 89.1178, aux.loss_ce: 0.1491, aux.acc_seg: 85.5148, loss: 0.4103 2024-03-04 18:49:40,760 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 18:49:40,760 - mmseg - INFO - Iter [45000/160000] lr: 2.475e-05, eta: 22:28:39, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2569, decode.acc_seg: 89.4384, aux.loss_ce: 0.1440, aux.acc_seg: 85.8155, loss: 0.4009 2024-03-04 18:50:15,248 - mmseg - INFO - Iter [45050/160000] lr: 2.474e-05, eta: 22:28:02, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2721, decode.acc_seg: 89.1729, aux.loss_ce: 0.1564, aux.acc_seg: 85.1297, loss: 0.4286 2024-03-04 18:50:49,583 - mmseg - INFO - Iter [45100/160000] lr: 2.473e-05, eta: 22:27:24, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2774, decode.acc_seg: 88.5888, aux.loss_ce: 0.1617, aux.acc_seg: 84.5479, loss: 0.4391 2024-03-04 18:51:24,099 - mmseg - INFO - Iter [45150/160000] lr: 2.472e-05, eta: 22:26:48, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2725, decode.acc_seg: 89.1129, aux.loss_ce: 0.1533, aux.acc_seg: 85.7087, loss: 0.4258 2024-03-04 18:51:58,574 - mmseg - INFO - Iter [45200/160000] lr: 2.471e-05, eta: 22:26:11, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2592, decode.acc_seg: 89.7020, aux.loss_ce: 0.1483, aux.acc_seg: 85.9191, loss: 0.4075 2024-03-04 18:52:32,861 - mmseg - INFO - Iter [45250/160000] lr: 2.470e-05, eta: 22:25:33, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2622, decode.acc_seg: 89.3613, aux.loss_ce: 0.1540, aux.acc_seg: 85.2035, loss: 0.4162 2024-03-04 18:53:07,293 - mmseg - INFO - Iter [45300/160000] lr: 2.469e-05, eta: 22:24:56, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2623, decode.acc_seg: 89.1461, aux.loss_ce: 0.1545, aux.acc_seg: 84.9507, loss: 0.4168 2024-03-04 18:53:41,720 - mmseg - INFO - Iter [45350/160000] lr: 2.468e-05, eta: 22:24:19, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2729, decode.acc_seg: 88.8002, aux.loss_ce: 0.1578, aux.acc_seg: 85.1845, loss: 0.4307 2024-03-04 18:54:16,086 - mmseg - INFO - Iter [45400/160000] lr: 2.467e-05, eta: 22:23:42, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2792, decode.acc_seg: 89.2677, aux.loss_ce: 0.1579, aux.acc_seg: 85.1952, loss: 0.4371 2024-03-04 18:54:50,563 - mmseg - INFO - Iter [45450/160000] lr: 2.466e-05, eta: 22:23:05, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2565, decode.acc_seg: 89.0938, aux.loss_ce: 0.1455, aux.acc_seg: 85.4708, loss: 0.4020 2024-03-04 18:55:27,960 - mmseg - INFO - Iter [45500/160000] lr: 2.464e-05, eta: 22:22:35, time: 0.748, data_time: 0.059, memory: 9361, decode.loss_ce: 0.2614, decode.acc_seg: 89.3315, aux.loss_ce: 0.1489, aux.acc_seg: 85.3829, loss: 0.4102 2024-03-04 18:56:02,263 - mmseg - INFO - Iter [45550/160000] lr: 2.463e-05, eta: 22:21:58, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2408, decode.acc_seg: 89.9645, aux.loss_ce: 0.1429, aux.acc_seg: 86.0651, loss: 0.3837 2024-03-04 18:56:36,775 - mmseg - INFO - Iter [45600/160000] lr: 2.462e-05, eta: 22:21:21, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2581, decode.acc_seg: 89.5775, aux.loss_ce: 0.1465, aux.acc_seg: 85.9119, loss: 0.4045 2024-03-04 18:57:10,961 - mmseg - INFO - Iter [45650/160000] lr: 2.461e-05, eta: 22:20:43, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2595, decode.acc_seg: 89.2644, aux.loss_ce: 0.1504, aux.acc_seg: 85.6261, loss: 0.4099 2024-03-04 18:57:45,267 - mmseg - INFO - Iter [45700/160000] lr: 2.460e-05, eta: 22:20:06, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2553, decode.acc_seg: 89.4893, aux.loss_ce: 0.1464, aux.acc_seg: 86.1324, loss: 0.4017 2024-03-04 18:58:19,521 - mmseg - INFO - Iter [45750/160000] lr: 2.459e-05, eta: 22:19:29, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2427, decode.acc_seg: 90.0503, aux.loss_ce: 0.1405, aux.acc_seg: 86.3390, loss: 0.3833 2024-03-04 18:58:53,741 - mmseg - INFO - Iter [45800/160000] lr: 2.458e-05, eta: 22:18:51, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2531, decode.acc_seg: 89.5757, aux.loss_ce: 0.1434, aux.acc_seg: 85.9726, loss: 0.3965 2024-03-04 18:59:28,121 - mmseg - INFO - Iter [45850/160000] lr: 2.457e-05, eta: 22:18:14, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2575, decode.acc_seg: 89.5769, aux.loss_ce: 0.1509, aux.acc_seg: 85.5462, loss: 0.4084 2024-03-04 19:00:02,361 - mmseg - INFO - Iter [45900/160000] lr: 2.456e-05, eta: 22:17:36, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2613, decode.acc_seg: 89.1497, aux.loss_ce: 0.1472, aux.acc_seg: 85.7363, loss: 0.4085 2024-03-04 19:00:36,968 - mmseg - INFO - Iter [45950/160000] lr: 2.455e-05, eta: 22:17:00, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2708, decode.acc_seg: 88.7341, aux.loss_ce: 0.1499, aux.acc_seg: 85.4205, loss: 0.4207 2024-03-04 19:01:11,296 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 19:01:11,296 - mmseg - INFO - Iter [46000/160000] lr: 2.454e-05, eta: 22:16:23, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2803, decode.acc_seg: 88.8313, aux.loss_ce: 0.1593, aux.acc_seg: 85.1843, loss: 0.4397 2024-03-04 19:01:45,420 - mmseg - INFO - Iter [46050/160000] lr: 2.453e-05, eta: 22:15:45, time: 0.682, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2696, decode.acc_seg: 89.1925, aux.loss_ce: 0.1512, aux.acc_seg: 85.8401, loss: 0.4208 2024-03-04 19:02:19,533 - mmseg - INFO - Iter [46100/160000] lr: 2.452e-05, eta: 22:15:07, time: 0.682, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2648, decode.acc_seg: 89.2605, aux.loss_ce: 0.1483, aux.acc_seg: 85.8270, loss: 0.4131 2024-03-04 19:02:53,870 - mmseg - INFO - Iter [46150/160000] lr: 2.450e-05, eta: 22:14:30, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2706, decode.acc_seg: 88.9705, aux.loss_ce: 0.1540, aux.acc_seg: 85.3124, loss: 0.4246 2024-03-04 19:03:28,264 - mmseg - INFO - Iter [46200/160000] lr: 2.449e-05, eta: 22:13:53, time: 0.688, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2747, decode.acc_seg: 88.7679, aux.loss_ce: 0.1534, aux.acc_seg: 85.3530, loss: 0.4281 2024-03-04 19:04:02,549 - mmseg - INFO - Iter [46250/160000] lr: 2.448e-05, eta: 22:13:16, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2589, decode.acc_seg: 89.4814, aux.loss_ce: 0.1506, aux.acc_seg: 85.2475, loss: 0.4095 2024-03-04 19:04:36,901 - mmseg - INFO - Iter [46300/160000] lr: 2.447e-05, eta: 22:12:38, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2669, decode.acc_seg: 89.2539, aux.loss_ce: 0.1551, aux.acc_seg: 85.4309, loss: 0.4220 2024-03-04 19:05:11,228 - mmseg - INFO - Iter [46350/160000] lr: 2.446e-05, eta: 22:12:01, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2736, decode.acc_seg: 89.1366, aux.loss_ce: 0.1538, aux.acc_seg: 85.3547, loss: 0.4274 2024-03-04 19:05:45,605 - mmseg - INFO - Iter [46400/160000] lr: 2.445e-05, eta: 22:11:24, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2785, decode.acc_seg: 88.5053, aux.loss_ce: 0.1554, aux.acc_seg: 84.8736, loss: 0.4339 2024-03-04 19:06:19,853 - mmseg - INFO - Iter [46450/160000] lr: 2.444e-05, eta: 22:10:47, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2543, decode.acc_seg: 89.6437, aux.loss_ce: 0.1450, aux.acc_seg: 86.2216, loss: 0.3993 2024-03-04 19:06:54,490 - mmseg - INFO - Iter [46500/160000] lr: 2.443e-05, eta: 22:10:10, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2768, decode.acc_seg: 88.9411, aux.loss_ce: 0.1581, aux.acc_seg: 85.2116, loss: 0.4349 2024-03-04 19:07:28,894 - mmseg - INFO - Iter [46550/160000] lr: 2.442e-05, eta: 22:09:33, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2814, decode.acc_seg: 88.4997, aux.loss_ce: 0.1571, aux.acc_seg: 85.0455, loss: 0.4385 2024-03-04 19:08:03,136 - mmseg - INFO - Iter [46600/160000] lr: 2.441e-05, eta: 22:08:56, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2641, decode.acc_seg: 89.4062, aux.loss_ce: 0.1541, aux.acc_seg: 85.3442, loss: 0.4181 2024-03-04 19:08:37,362 - mmseg - INFO - Iter [46650/160000] lr: 2.440e-05, eta: 22:08:18, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2460, decode.acc_seg: 89.9143, aux.loss_ce: 0.1464, aux.acc_seg: 85.8283, loss: 0.3924 2024-03-04 19:09:11,715 - mmseg - INFO - Iter [46700/160000] lr: 2.439e-05, eta: 22:07:41, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2614, decode.acc_seg: 89.3145, aux.loss_ce: 0.1531, aux.acc_seg: 85.4324, loss: 0.4145 2024-03-04 19:09:49,112 - mmseg - INFO - Iter [46750/160000] lr: 2.438e-05, eta: 22:07:12, time: 0.748, data_time: 0.053, memory: 9361, decode.loss_ce: 0.2692, decode.acc_seg: 89.1365, aux.loss_ce: 0.1560, aux.acc_seg: 85.0471, loss: 0.4252 2024-03-04 19:10:23,537 - mmseg - INFO - Iter [46800/160000] lr: 2.436e-05, eta: 22:06:35, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2849, decode.acc_seg: 88.2173, aux.loss_ce: 0.1631, aux.acc_seg: 84.2616, loss: 0.4480 2024-03-04 19:10:57,955 - mmseg - INFO - Iter [46850/160000] lr: 2.435e-05, eta: 22:05:58, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2397, decode.acc_seg: 89.8892, aux.loss_ce: 0.1405, aux.acc_seg: 86.2623, loss: 0.3801 2024-03-04 19:11:32,430 - mmseg - INFO - Iter [46900/160000] lr: 2.434e-05, eta: 22:05:21, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2450, decode.acc_seg: 90.0810, aux.loss_ce: 0.1400, aux.acc_seg: 86.4696, loss: 0.3849 2024-03-04 19:12:06,957 - mmseg - INFO - Iter [46950/160000] lr: 2.433e-05, eta: 22:04:44, time: 0.691, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2431, decode.acc_seg: 89.9652, aux.loss_ce: 0.1413, aux.acc_seg: 86.2806, loss: 0.3845 2024-03-04 19:12:41,408 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 19:12:41,408 - mmseg - INFO - Iter [47000/160000] lr: 2.432e-05, eta: 22:04:07, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2515, decode.acc_seg: 89.3652, aux.loss_ce: 0.1428, aux.acc_seg: 85.9902, loss: 0.3943 2024-03-04 19:13:15,810 - mmseg - INFO - Iter [47050/160000] lr: 2.431e-05, eta: 22:03:30, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2491, decode.acc_seg: 89.7507, aux.loss_ce: 0.1471, aux.acc_seg: 85.8615, loss: 0.3962 2024-03-04 19:13:50,188 - mmseg - INFO - Iter [47100/160000] lr: 2.430e-05, eta: 22:02:53, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2523, decode.acc_seg: 89.5777, aux.loss_ce: 0.1438, aux.acc_seg: 85.9373, loss: 0.3962 2024-03-04 19:14:24,581 - mmseg - INFO - Iter [47150/160000] lr: 2.429e-05, eta: 22:02:16, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2587, decode.acc_seg: 89.5882, aux.loss_ce: 0.1508, aux.acc_seg: 86.1730, loss: 0.4095 2024-03-04 19:14:58,914 - mmseg - INFO - Iter [47200/160000] lr: 2.428e-05, eta: 22:01:39, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2623, decode.acc_seg: 89.3436, aux.loss_ce: 0.1528, aux.acc_seg: 85.4598, loss: 0.4151 2024-03-04 19:15:33,308 - mmseg - INFO - Iter [47250/160000] lr: 2.427e-05, eta: 22:01:02, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2642, decode.acc_seg: 89.1088, aux.loss_ce: 0.1532, aux.acc_seg: 85.4617, loss: 0.4174 2024-03-04 19:16:07,841 - mmseg - INFO - Iter [47300/160000] lr: 2.426e-05, eta: 22:00:26, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2598, decode.acc_seg: 89.3017, aux.loss_ce: 0.1455, aux.acc_seg: 85.6445, loss: 0.4053 2024-03-04 19:16:42,306 - mmseg - INFO - Iter [47350/160000] lr: 2.425e-05, eta: 21:59:49, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2805, decode.acc_seg: 88.5352, aux.loss_ce: 0.1559, aux.acc_seg: 85.1335, loss: 0.4363 2024-03-04 19:17:16,653 - mmseg - INFO - Iter [47400/160000] lr: 2.424e-05, eta: 21:59:12, time: 0.687, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2819, decode.acc_seg: 88.6517, aux.loss_ce: 0.1638, aux.acc_seg: 84.6252, loss: 0.4457 2024-03-04 19:17:50,911 - mmseg - INFO - Iter [47450/160000] lr: 2.422e-05, eta: 21:58:35, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2756, decode.acc_seg: 88.4985, aux.loss_ce: 0.1554, aux.acc_seg: 85.0422, loss: 0.4310 2024-03-04 19:18:25,256 - mmseg - INFO - Iter [47500/160000] lr: 2.421e-05, eta: 21:57:58, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2751, decode.acc_seg: 88.8335, aux.loss_ce: 0.1561, aux.acc_seg: 85.0316, loss: 0.4312 2024-03-04 19:18:59,481 - mmseg - INFO - Iter [47550/160000] lr: 2.420e-05, eta: 21:57:20, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2544, decode.acc_seg: 89.6726, aux.loss_ce: 0.1477, aux.acc_seg: 85.8649, loss: 0.4021 2024-03-04 19:19:33,829 - mmseg - INFO - Iter [47600/160000] lr: 2.419e-05, eta: 21:56:43, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2528, decode.acc_seg: 89.6859, aux.loss_ce: 0.1474, aux.acc_seg: 85.6652, loss: 0.4002 2024-03-04 19:20:08,280 - mmseg - INFO - Iter [47650/160000] lr: 2.418e-05, eta: 21:56:06, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2562, decode.acc_seg: 89.3600, aux.loss_ce: 0.1504, aux.acc_seg: 85.2404, loss: 0.4067 2024-03-04 19:20:42,661 - mmseg - INFO - Iter [47700/160000] lr: 2.417e-05, eta: 21:55:30, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2731, decode.acc_seg: 88.8224, aux.loss_ce: 0.1557, aux.acc_seg: 85.0514, loss: 0.4288 2024-03-04 19:21:17,177 - mmseg - INFO - Iter [47750/160000] lr: 2.416e-05, eta: 21:54:53, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2632, decode.acc_seg: 89.2562, aux.loss_ce: 0.1540, aux.acc_seg: 85.2268, loss: 0.4172 2024-03-04 19:21:51,740 - mmseg - INFO - Iter [47800/160000] lr: 2.415e-05, eta: 21:54:16, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2558, decode.acc_seg: 89.4067, aux.loss_ce: 0.1449, aux.acc_seg: 85.9259, loss: 0.4007 2024-03-04 19:22:26,245 - mmseg - INFO - Iter [47850/160000] lr: 2.414e-05, eta: 21:53:40, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2783, decode.acc_seg: 89.0011, aux.loss_ce: 0.1614, aux.acc_seg: 84.9771, loss: 0.4398 2024-03-04 19:23:00,699 - mmseg - INFO - Iter [47900/160000] lr: 2.413e-05, eta: 21:53:03, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2488, decode.acc_seg: 89.7167, aux.loss_ce: 0.1429, aux.acc_seg: 86.2030, loss: 0.3917 2024-03-04 19:23:35,188 - mmseg - INFO - Iter [47950/160000] lr: 2.412e-05, eta: 21:52:26, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2418, decode.acc_seg: 90.1233, aux.loss_ce: 0.1408, aux.acc_seg: 86.3308, loss: 0.3826 2024-03-04 19:24:12,659 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 19:24:12,660 - mmseg - INFO - Iter [48000/160000] lr: 2.411e-05, eta: 21:51:57, time: 0.749, data_time: 0.064, memory: 9361, decode.loss_ce: 0.2806, decode.acc_seg: 88.5892, aux.loss_ce: 0.1557, aux.acc_seg: 85.0747, loss: 0.4363 2024-03-04 19:27:23,728 - mmseg - INFO - per class results: 2024-03-04 19:27:23,736 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 76.34 | 86.47 | | building | 81.12 | 90.78 | | sky | 94.23 | 97.69 | | floor | 81.06 | 88.64 | | tree | 73.38 | 86.53 | | ceiling | 81.68 | 89.14 | | road | 82.33 | 91.18 | | bed | 88.67 | 94.79 | | windowpane | 61.83 | 78.88 | | grass | 66.72 | 77.92 | | cabinet | 58.36 | 67.43 | | sidewalk | 60.11 | 77.37 | | person | 80.61 | 92.93 | | earth | 35.09 | 48.04 | | door | 46.07 | 61.72 | | table | 54.38 | 76.28 | | mountain | 56.46 | 81.38 | | plant | 52.47 | 67.7 | | curtain | 72.72 | 86.05 | | chair | 55.06 | 68.54 | | car | 84.57 | 92.6 | | water | 48.99 | 58.03 | | painting | 68.03 | 87.31 | | sofa | 63.1 | 75.78 | | shelf | 46.39 | 65.84 | | house | 45.45 | 72.34 | | sea | 56.22 | 79.49 | | mirror | 62.64 | 73.08 | | rug | 55.21 | 67.81 | | field | 29.67 | 46.68 | | armchair | 44.9 | 73.94 | | seat | 59.02 | 83.61 | | fence | 45.77 | 57.22 | | desk | 47.51 | 74.74 | | rock | 40.55 | 64.43 | | wardrobe | 44.09 | 62.33 | | lamp | 61.23 | 81.29 | | bathtub | 76.29 | 82.23 | | railing | 35.26 | 48.4 | | cushion | 56.11 | 73.56 | | base | 28.33 | 44.88 | | box | 22.29 | 25.92 | | column | 43.25 | 61.95 | | signboard | 34.89 | 57.07 | | chest of drawers | 43.69 | 57.28 | | counter | 23.28 | 27.2 | | sand | 31.97 | 45.01 | | sink | 67.47 | 81.21 | | skyscraper | 34.43 | 36.37 | | fireplace | 68.48 | 91.2 | | refrigerator | 68.95 | 80.43 | | grandstand | 41.84 | 61.29 | | path | 13.03 | 20.25 | | stairs | 33.28 | 40.43 | | runway | 69.94 | 95.11 | | case | 49.88 | 54.49 | | pool table | 91.45 | 96.18 | | pillow | 54.53 | 67.24 | | screen door | 64.93 | 72.86 | | stairway | 32.21 | 38.93 | | river | 7.51 | 21.63 | | bridge | 63.11 | 80.89 | | bookcase | 33.66 | 46.21 | | blind | 42.01 | 45.71 | | coffee table | 51.25 | 80.65 | | toilet | 84.23 | 91.46 | | flower | 31.75 | 44.06 | | book | 44.84 | 72.19 | | hill | 4.91 | 5.46 | | bench | 39.51 | 48.03 | | countertop | 55.71 | 72.98 | | stove | 70.09 | 86.08 | | palm | 47.96 | 75.82 | | kitchen island | 35.04 | 73.97 | | computer | 65.6 | 78.32 | | swivel chair | 39.56 | 62.45 | | boat | 56.46 | 85.49 | | bar | 25.44 | 36.87 | | arcade machine | 49.85 | 55.17 | | hovel | 37.17 | 42.38 | | bus | 77.96 | 97.58 | | towel | 60.38 | 70.19 | | light | 55.5 | 67.58 | | truck | 29.81 | 40.29 | | tower | 18.9 | 31.86 | | chandelier | 65.51 | 79.69 | | awning | 29.14 | 39.66 | | streetlight | 26.91 | 35.88 | | booth | 36.8 | 43.9 | | television receiver | 60.34 | 88.39 | | airplane | 46.95 | 70.0 | | dirt track | 12.3 | 40.73 | | apparel | 32.68 | 59.8 | | pole | 19.66 | 30.6 | | land | 10.36 | 13.56 | | bannister | 15.25 | 23.82 | | escalator | 27.52 | 31.85 | | ottoman | 40.57 | 71.72 | | bottle | 28.83 | 38.7 | | buffet | 44.32 | 53.0 | | poster | 27.99 | 35.49 | | stage | 15.87 | 25.6 | | van | 39.68 | 50.73 | | ship | 79.45 | 95.58 | | fountain | 24.98 | 29.65 | | conveyer belt | 63.82 | 90.15 | | canopy | 7.04 | 9.01 | | washer | 73.34 | 74.69 | | plaything | 19.07 | 31.66 | | swimming pool | 55.34 | 81.77 | | stool | 38.91 | 60.6 | | barrel | 59.08 | 66.23 | | basket | 30.24 | 37.87 | | waterfall | 59.57 | 94.12 | | tent | 85.49 | 98.31 | | bag | 17.99 | 23.78 | | minibike | 69.29 | 85.37 | | cradle | 69.69 | 82.88 | | oven | 37.74 | 60.27 | | ball | 49.68 | 64.42 | | food | 51.84 | 62.05 | | step | 13.0 | 15.4 | | tank | 46.68 | 47.91 | | trade name | 18.17 | 20.85 | | microwave | 59.28 | 66.92 | | pot | 40.59 | 51.59 | | animal | 56.89 | 59.58 | | bicycle | 55.16 | 75.74 | | lake | 50.6 | 60.12 | | dishwasher | 63.67 | 72.62 | | screen | 66.43 | 88.3 | | blanket | 15.4 | 18.3 | | sculpture | 42.31 | 74.68 | | hood | 57.58 | 71.96 | | sconce | 43.07 | 55.9 | | vase | 34.34 | 55.47 | | traffic light | 27.4 | 53.46 | | tray | 9.72 | 26.58 | | ashcan | 34.32 | 54.52 | | fan | 54.99 | 72.78 | | pier | 30.23 | 52.39 | | crt screen | 4.05 | 7.91 | | plate | 45.77 | 68.95 | | monitor | 27.72 | 39.46 | | bulletin board | 41.32 | 49.02 | | shower | 0.34 | 0.43 | | radiator | 56.37 | 62.06 | | glass | 14.6 | 16.16 | | clock | 32.18 | 44.94 | | flag | 29.56 | 33.64 | +---------------------+-------+-------+ 2024-03-04 19:27:23,737 - mmseg - INFO - Summary: 2024-03-04 19:27:23,737 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 81.87 | 46.81 | 60.65 | +-------+-------+-------+ 2024-03-04 19:27:23,749 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 19:27:23,749 - mmseg - INFO - Iter(val) [500] aAcc: 0.8187, mIoU: 0.4681, mAcc: 0.6065, IoU.wall: 0.7634, IoU.building: 0.8112, IoU.sky: 0.9423, IoU.floor: 0.8106, IoU.tree: 0.7338, IoU.ceiling: 0.8168, IoU.road: 0.8233, IoU.bed : 0.8867, IoU.windowpane: 0.6183, IoU.grass: 0.6672, IoU.cabinet: 0.5836, IoU.sidewalk: 0.6011, IoU.person: 0.8061, IoU.earth: 0.3509, IoU.door: 0.4607, IoU.table: 0.5438, IoU.mountain: 0.5646, IoU.plant: 0.5247, IoU.curtain: 0.7272, IoU.chair: 0.5506, IoU.car: 0.8457, IoU.water: 0.4899, IoU.painting: 0.6803, IoU.sofa: 0.6310, IoU.shelf: 0.4639, IoU.house: 0.4545, IoU.sea: 0.5622, IoU.mirror: 0.6264, IoU.rug: 0.5521, IoU.field: 0.2967, IoU.armchair: 0.4490, IoU.seat: 0.5902, IoU.fence: 0.4577, IoU.desk: 0.4751, IoU.rock: 0.4055, IoU.wardrobe: 0.4409, IoU.lamp: 0.6123, IoU.bathtub: 0.7629, IoU.railing: 0.3526, IoU.cushion: 0.5611, IoU.base: 0.2833, IoU.box: 0.2229, IoU.column: 0.4325, IoU.signboard: 0.3489, IoU.chest of drawers: 0.4369, IoU.counter: 0.2328, IoU.sand: 0.3197, IoU.sink: 0.6747, IoU.skyscraper: 0.3443, IoU.fireplace: 0.6848, IoU.refrigerator: 0.6895, IoU.grandstand: 0.4184, IoU.path: 0.1303, IoU.stairs: 0.3328, IoU.runway: 0.6994, IoU.case: 0.4988, IoU.pool table: 0.9145, IoU.pillow: 0.5453, IoU.screen door: 0.6493, IoU.stairway: 0.3221, IoU.river: 0.0751, IoU.bridge: 0.6311, IoU.bookcase: 0.3366, IoU.blind: 0.4201, IoU.coffee table: 0.5125, IoU.toilet: 0.8423, IoU.flower: 0.3175, IoU.book: 0.4484, IoU.hill: 0.0491, IoU.bench: 0.3951, IoU.countertop: 0.5571, IoU.stove: 0.7009, IoU.palm: 0.4796, IoU.kitchen island: 0.3504, IoU.computer: 0.6560, IoU.swivel chair: 0.3956, IoU.boat: 0.5646, IoU.bar: 0.2544, IoU.arcade machine: 0.4985, IoU.hovel: 0.3717, IoU.bus: 0.7796, IoU.towel: 0.6038, IoU.light: 0.5550, IoU.truck: 0.2981, IoU.tower: 0.1890, IoU.chandelier: 0.6551, IoU.awning: 0.2914, IoU.streetlight: 0.2691, IoU.booth: 0.3680, IoU.television receiver: 0.6034, IoU.airplane: 0.4695, IoU.dirt track: 0.1230, IoU.apparel: 0.3268, IoU.pole: 0.1966, IoU.land: 0.1036, IoU.bannister: 0.1525, IoU.escalator: 0.2752, IoU.ottoman: 0.4057, IoU.bottle: 0.2883, IoU.buffet: 0.4432, IoU.poster: 0.2799, IoU.stage: 0.1587, IoU.van: 0.3968, IoU.ship: 0.7945, IoU.fountain: 0.2498, IoU.conveyer belt: 0.6382, IoU.canopy: 0.0704, IoU.washer: 0.7334, IoU.plaything: 0.1907, IoU.swimming pool: 0.5534, IoU.stool: 0.3891, IoU.barrel: 0.5908, IoU.basket: 0.3024, IoU.waterfall: 0.5957, IoU.tent: 0.8549, IoU.bag: 0.1799, IoU.minibike: 0.6929, IoU.cradle: 0.6969, IoU.oven: 0.3774, IoU.ball: 0.4968, IoU.food: 0.5184, IoU.step: 0.1300, IoU.tank: 0.4668, IoU.trade name: 0.1817, IoU.microwave: 0.5928, IoU.pot: 0.4059, IoU.animal: 0.5689, IoU.bicycle: 0.5516, IoU.lake: 0.5060, IoU.dishwasher: 0.6367, IoU.screen: 0.6643, IoU.blanket: 0.1540, IoU.sculpture: 0.4231, IoU.hood: 0.5758, IoU.sconce: 0.4307, IoU.vase: 0.3434, IoU.traffic light: 0.2740, IoU.tray: 0.0972, IoU.ashcan: 0.3432, IoU.fan: 0.5499, IoU.pier: 0.3023, IoU.crt screen: 0.0405, IoU.plate: 0.4577, IoU.monitor: 0.2772, IoU.bulletin board: 0.4132, IoU.shower: 0.0034, IoU.radiator: 0.5637, IoU.glass: 0.1460, IoU.clock: 0.3218, IoU.flag: 0.2956, Acc.wall: 0.8647, Acc.building: 0.9078, Acc.sky: 0.9769, Acc.floor: 0.8864, Acc.tree: 0.8653, Acc.ceiling: 0.8914, Acc.road: 0.9118, Acc.bed : 0.9479, Acc.windowpane: 0.7888, Acc.grass: 0.7792, Acc.cabinet: 0.6743, Acc.sidewalk: 0.7737, Acc.person: 0.9293, Acc.earth: 0.4804, Acc.door: 0.6172, Acc.table: 0.7628, Acc.mountain: 0.8138, Acc.plant: 0.6770, Acc.curtain: 0.8605, Acc.chair: 0.6854, Acc.car: 0.9260, Acc.water: 0.5803, Acc.painting: 0.8731, Acc.sofa: 0.7578, Acc.shelf: 0.6584, Acc.house: 0.7234, Acc.sea: 0.7949, Acc.mirror: 0.7308, Acc.rug: 0.6781, Acc.field: 0.4668, Acc.armchair: 0.7394, Acc.seat: 0.8361, Acc.fence: 0.5722, Acc.desk: 0.7474, Acc.rock: 0.6443, Acc.wardrobe: 0.6233, Acc.lamp: 0.8129, Acc.bathtub: 0.8223, Acc.railing: 0.4840, Acc.cushion: 0.7356, Acc.base: 0.4488, Acc.box: 0.2592, Acc.column: 0.6195, Acc.signboard: 0.5707, Acc.chest of drawers: 0.5728, Acc.counter: 0.2720, Acc.sand: 0.4501, Acc.sink: 0.8121, Acc.skyscraper: 0.3637, Acc.fireplace: 0.9120, Acc.refrigerator: 0.8043, Acc.grandstand: 0.6129, Acc.path: 0.2025, Acc.stairs: 0.4043, Acc.runway: 0.9511, Acc.case: 0.5449, Acc.pool table: 0.9618, Acc.pillow: 0.6724, Acc.screen door: 0.7286, Acc.stairway: 0.3893, Acc.river: 0.2163, Acc.bridge: 0.8089, Acc.bookcase: 0.4621, Acc.blind: 0.4571, Acc.coffee table: 0.8065, Acc.toilet: 0.9146, Acc.flower: 0.4406, Acc.book: 0.7219, Acc.hill: 0.0546, Acc.bench: 0.4803, Acc.countertop: 0.7298, Acc.stove: 0.8608, Acc.palm: 0.7582, Acc.kitchen island: 0.7397, Acc.computer: 0.7832, Acc.swivel chair: 0.6245, Acc.boat: 0.8549, Acc.bar: 0.3687, Acc.arcade machine: 0.5517, Acc.hovel: 0.4238, Acc.bus: 0.9758, Acc.towel: 0.7019, Acc.light: 0.6758, Acc.truck: 0.4029, Acc.tower: 0.3186, Acc.chandelier: 0.7969, Acc.awning: 0.3966, Acc.streetlight: 0.3588, Acc.booth: 0.4390, Acc.television receiver: 0.8839, Acc.airplane: 0.7000, Acc.dirt track: 0.4073, Acc.apparel: 0.5980, Acc.pole: 0.3060, Acc.land: 0.1356, Acc.bannister: 0.2382, Acc.escalator: 0.3185, Acc.ottoman: 0.7172, Acc.bottle: 0.3870, Acc.buffet: 0.5300, Acc.poster: 0.3549, Acc.stage: 0.2560, Acc.van: 0.5073, Acc.ship: 0.9558, Acc.fountain: 0.2965, Acc.conveyer belt: 0.9015, Acc.canopy: 0.0901, Acc.washer: 0.7469, Acc.plaything: 0.3166, Acc.swimming pool: 0.8177, Acc.stool: 0.6060, Acc.barrel: 0.6623, Acc.basket: 0.3787, Acc.waterfall: 0.9412, Acc.tent: 0.9831, Acc.bag: 0.2378, Acc.minibike: 0.8537, Acc.cradle: 0.8288, Acc.oven: 0.6027, Acc.ball: 0.6442, Acc.food: 0.6205, Acc.step: 0.1540, Acc.tank: 0.4791, Acc.trade name: 0.2085, Acc.microwave: 0.6692, Acc.pot: 0.5159, Acc.animal: 0.5958, Acc.bicycle: 0.7574, Acc.lake: 0.6012, Acc.dishwasher: 0.7262, Acc.screen: 0.8830, Acc.blanket: 0.1830, Acc.sculpture: 0.7468, Acc.hood: 0.7196, Acc.sconce: 0.5590, Acc.vase: 0.5547, Acc.traffic light: 0.5346, Acc.tray: 0.2658, Acc.ashcan: 0.5452, Acc.fan: 0.7278, Acc.pier: 0.5239, Acc.crt screen: 0.0791, Acc.plate: 0.6895, Acc.monitor: 0.3946, Acc.bulletin board: 0.4902, Acc.shower: 0.0043, Acc.radiator: 0.6206, Acc.glass: 0.1616, Acc.clock: 0.4494, Acc.flag: 0.3364 2024-03-04 19:27:57,947 - mmseg - INFO - Iter [48050/160000] lr: 2.410e-05, eta: 21:58:45, time: 4.506, data_time: 3.830, memory: 9361, decode.loss_ce: 0.2372, decode.acc_seg: 90.2516, aux.loss_ce: 0.1386, aux.acc_seg: 86.5393, loss: 0.3758 2024-03-04 19:28:32,168 - mmseg - INFO - Iter [48100/160000] lr: 2.408e-05, eta: 21:58:07, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2394, decode.acc_seg: 90.2537, aux.loss_ce: 0.1421, aux.acc_seg: 86.5318, loss: 0.3815 2024-03-04 19:29:06,453 - mmseg - INFO - Iter [48150/160000] lr: 2.407e-05, eta: 21:57:29, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2558, decode.acc_seg: 89.4135, aux.loss_ce: 0.1475, aux.acc_seg: 85.6501, loss: 0.4033 2024-03-04 19:29:40,765 - mmseg - INFO - Iter [48200/160000] lr: 2.406e-05, eta: 21:56:51, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2468, decode.acc_seg: 89.9161, aux.loss_ce: 0.1469, aux.acc_seg: 85.7615, loss: 0.3936 2024-03-04 19:30:15,302 - mmseg - INFO - Iter [48250/160000] lr: 2.405e-05, eta: 21:56:14, time: 0.691, data_time: 0.012, memory: 9361, decode.loss_ce: 0.2610, decode.acc_seg: 89.1323, aux.loss_ce: 0.1516, aux.acc_seg: 85.2740, loss: 0.4126 2024-03-04 19:30:49,669 - mmseg - INFO - Iter [48300/160000] lr: 2.404e-05, eta: 21:55:36, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2451, decode.acc_seg: 89.7425, aux.loss_ce: 0.1424, aux.acc_seg: 86.2313, loss: 0.3875 2024-03-04 19:31:23,830 - mmseg - INFO - Iter [48350/160000] lr: 2.403e-05, eta: 21:54:58, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2626, decode.acc_seg: 89.6043, aux.loss_ce: 0.1515, aux.acc_seg: 85.8522, loss: 0.4141 2024-03-04 19:31:58,349 - mmseg - INFO - Iter [48400/160000] lr: 2.402e-05, eta: 21:54:21, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2428, decode.acc_seg: 90.1218, aux.loss_ce: 0.1429, aux.acc_seg: 86.3106, loss: 0.3857 2024-03-04 19:32:32,575 - mmseg - INFO - Iter [48450/160000] lr: 2.401e-05, eta: 21:53:43, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2439, decode.acc_seg: 89.9850, aux.loss_ce: 0.1399, aux.acc_seg: 86.4328, loss: 0.3838 2024-03-04 19:33:07,061 - mmseg - INFO - Iter [48500/160000] lr: 2.400e-05, eta: 21:53:06, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2507, decode.acc_seg: 89.6112, aux.loss_ce: 0.1365, aux.acc_seg: 86.5872, loss: 0.3872 2024-03-04 19:33:41,534 - mmseg - INFO - Iter [48550/160000] lr: 2.399e-05, eta: 21:52:29, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2636, decode.acc_seg: 89.2274, aux.loss_ce: 0.1519, aux.acc_seg: 84.9692, loss: 0.4155 2024-03-04 19:34:15,897 - mmseg - INFO - Iter [48600/160000] lr: 2.398e-05, eta: 21:51:51, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2503, decode.acc_seg: 90.0043, aux.loss_ce: 0.1458, aux.acc_seg: 86.1717, loss: 0.3961 2024-03-04 19:34:50,336 - mmseg - INFO - Iter [48650/160000] lr: 2.397e-05, eta: 21:51:14, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2620, decode.acc_seg: 89.0400, aux.loss_ce: 0.1461, aux.acc_seg: 85.7697, loss: 0.4081 2024-03-04 19:35:24,700 - mmseg - INFO - Iter [48700/160000] lr: 2.396e-05, eta: 21:50:36, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2618, decode.acc_seg: 89.5275, aux.loss_ce: 0.1507, aux.acc_seg: 85.6258, loss: 0.4126 2024-03-04 19:35:59,037 - mmseg - INFO - Iter [48750/160000] lr: 2.394e-05, eta: 21:49:59, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2445, decode.acc_seg: 90.2183, aux.loss_ce: 0.1424, aux.acc_seg: 86.5344, loss: 0.3869 2024-03-04 19:36:33,443 - mmseg - INFO - Iter [48800/160000] lr: 2.393e-05, eta: 21:49:21, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2562, decode.acc_seg: 89.4659, aux.loss_ce: 0.1473, aux.acc_seg: 85.8004, loss: 0.4035 2024-03-04 19:37:07,806 - mmseg - INFO - Iter [48850/160000] lr: 2.392e-05, eta: 21:48:44, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2455, decode.acc_seg: 90.0112, aux.loss_ce: 0.1428, aux.acc_seg: 86.2760, loss: 0.3883 2024-03-04 19:37:42,207 - mmseg - INFO - Iter [48900/160000] lr: 2.391e-05, eta: 21:48:06, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2391, decode.acc_seg: 89.9366, aux.loss_ce: 0.1375, aux.acc_seg: 86.4460, loss: 0.3766 2024-03-04 19:38:16,399 - mmseg - INFO - Iter [48950/160000] lr: 2.390e-05, eta: 21:47:28, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2525, decode.acc_seg: 89.5803, aux.loss_ce: 0.1495, aux.acc_seg: 85.6916, loss: 0.4020 2024-03-04 19:38:50,811 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 19:38:50,812 - mmseg - INFO - Iter [49000/160000] lr: 2.389e-05, eta: 21:46:51, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2574, decode.acc_seg: 89.5511, aux.loss_ce: 0.1468, aux.acc_seg: 85.8000, loss: 0.4042 2024-03-04 19:39:25,250 - mmseg - INFO - Iter [49050/160000] lr: 2.388e-05, eta: 21:46:14, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2689, decode.acc_seg: 89.2191, aux.loss_ce: 0.1589, aux.acc_seg: 85.2070, loss: 0.4278 2024-03-04 19:39:59,757 - mmseg - INFO - Iter [49100/160000] lr: 2.387e-05, eta: 21:45:37, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2587, decode.acc_seg: 89.2721, aux.loss_ce: 0.1523, aux.acc_seg: 85.3664, loss: 0.4110 2024-03-04 19:40:34,220 - mmseg - INFO - Iter [49150/160000] lr: 2.386e-05, eta: 21:44:59, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2509, decode.acc_seg: 89.7083, aux.loss_ce: 0.1457, aux.acc_seg: 86.0914, loss: 0.3966 2024-03-04 19:41:08,515 - mmseg - INFO - Iter [49200/160000] lr: 2.385e-05, eta: 21:44:22, time: 0.686, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2709, decode.acc_seg: 89.1409, aux.loss_ce: 0.1526, aux.acc_seg: 85.3438, loss: 0.4236 2024-03-04 19:41:43,124 - mmseg - INFO - Iter [49250/160000] lr: 2.384e-05, eta: 21:43:45, time: 0.692, data_time: 0.012, memory: 9361, decode.loss_ce: 0.2615, decode.acc_seg: 89.3375, aux.loss_ce: 0.1519, aux.acc_seg: 85.3516, loss: 0.4134 2024-03-04 19:42:20,640 - mmseg - INFO - Iter [49300/160000] lr: 2.383e-05, eta: 21:43:14, time: 0.750, data_time: 0.067, memory: 9361, decode.loss_ce: 0.2544, decode.acc_seg: 89.6127, aux.loss_ce: 0.1454, aux.acc_seg: 86.0466, loss: 0.3998 2024-03-04 19:42:54,997 - mmseg - INFO - Iter [49350/160000] lr: 2.382e-05, eta: 21:42:37, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2413, decode.acc_seg: 90.2052, aux.loss_ce: 0.1370, aux.acc_seg: 86.7483, loss: 0.3783 2024-03-04 19:43:29,570 - mmseg - INFO - Iter [49400/160000] lr: 2.381e-05, eta: 21:42:00, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2425, decode.acc_seg: 90.2940, aux.loss_ce: 0.1381, aux.acc_seg: 86.6033, loss: 0.3806 2024-03-04 19:44:04,024 - mmseg - INFO - Iter [49450/160000] lr: 2.379e-05, eta: 21:41:23, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2518, decode.acc_seg: 89.8585, aux.loss_ce: 0.1452, aux.acc_seg: 85.8792, loss: 0.3970 2024-03-04 19:44:38,362 - mmseg - INFO - Iter [49500/160000] lr: 2.378e-05, eta: 21:40:45, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2496, decode.acc_seg: 89.7143, aux.loss_ce: 0.1463, aux.acc_seg: 85.7887, loss: 0.3959 2024-03-04 19:45:12,711 - mmseg - INFO - Iter [49550/160000] lr: 2.377e-05, eta: 21:40:08, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2438, decode.acc_seg: 89.7351, aux.loss_ce: 0.1395, aux.acc_seg: 86.1729, loss: 0.3833 2024-03-04 19:45:46,907 - mmseg - INFO - Iter [49600/160000] lr: 2.376e-05, eta: 21:39:30, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2350, decode.acc_seg: 90.3749, aux.loss_ce: 0.1351, aux.acc_seg: 87.1135, loss: 0.3701 2024-03-04 19:46:21,311 - mmseg - INFO - Iter [49650/160000] lr: 2.375e-05, eta: 21:38:53, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2383, decode.acc_seg: 90.1647, aux.loss_ce: 0.1355, aux.acc_seg: 86.8903, loss: 0.3738 2024-03-04 19:46:55,796 - mmseg - INFO - Iter [49700/160000] lr: 2.374e-05, eta: 21:38:15, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2611, decode.acc_seg: 89.3708, aux.loss_ce: 0.1456, aux.acc_seg: 85.7897, loss: 0.4068 2024-03-04 19:47:30,111 - mmseg - INFO - Iter [49750/160000] lr: 2.373e-05, eta: 21:37:38, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2380, decode.acc_seg: 90.2927, aux.loss_ce: 0.1402, aux.acc_seg: 86.3907, loss: 0.3781 2024-03-04 19:48:04,302 - mmseg - INFO - Iter [49800/160000] lr: 2.372e-05, eta: 21:37:00, time: 0.684, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2600, decode.acc_seg: 89.4117, aux.loss_ce: 0.1470, aux.acc_seg: 85.9588, loss: 0.4070 2024-03-04 19:48:38,664 - mmseg - INFO - Iter [49850/160000] lr: 2.371e-05, eta: 21:36:23, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2516, decode.acc_seg: 89.9040, aux.loss_ce: 0.1430, aux.acc_seg: 86.1595, loss: 0.3946 2024-03-04 19:49:13,148 - mmseg - INFO - Iter [49900/160000] lr: 2.370e-05, eta: 21:35:46, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2538, decode.acc_seg: 89.6201, aux.loss_ce: 0.1504, aux.acc_seg: 85.5711, loss: 0.4042 2024-03-04 19:49:47,454 - mmseg - INFO - Iter [49950/160000] lr: 2.369e-05, eta: 21:35:08, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2436, decode.acc_seg: 89.8960, aux.loss_ce: 0.1421, aux.acc_seg: 86.2408, loss: 0.3857 2024-03-04 19:50:21,785 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 19:50:21,785 - mmseg - INFO - Iter [50000/160000] lr: 2.368e-05, eta: 21:34:31, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2569, decode.acc_seg: 89.4848, aux.loss_ce: 0.1455, aux.acc_seg: 86.0097, loss: 0.4024 2024-03-04 19:50:56,007 - mmseg - INFO - Iter [50050/160000] lr: 2.367e-05, eta: 21:33:53, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2629, decode.acc_seg: 89.3070, aux.loss_ce: 0.1520, aux.acc_seg: 85.5797, loss: 0.4149 2024-03-04 19:51:30,002 - mmseg - INFO - Iter [50100/160000] lr: 2.365e-05, eta: 21:33:15, time: 0.680, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2482, decode.acc_seg: 89.8548, aux.loss_ce: 0.1464, aux.acc_seg: 85.7605, loss: 0.3946 2024-03-04 19:52:04,144 - mmseg - INFO - Iter [50150/160000] lr: 2.364e-05, eta: 21:32:37, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2377, decode.acc_seg: 90.3652, aux.loss_ce: 0.1399, aux.acc_seg: 86.5906, loss: 0.3775 2024-03-04 19:52:38,532 - mmseg - INFO - Iter [50200/160000] lr: 2.363e-05, eta: 21:32:00, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2351, decode.acc_seg: 90.0753, aux.loss_ce: 0.1360, aux.acc_seg: 86.5875, loss: 0.3711 2024-03-04 19:53:12,804 - mmseg - INFO - Iter [50250/160000] lr: 2.362e-05, eta: 21:31:22, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2518, decode.acc_seg: 89.6966, aux.loss_ce: 0.1439, aux.acc_seg: 86.0977, loss: 0.3957 2024-03-04 19:53:47,201 - mmseg - INFO - Iter [50300/160000] lr: 2.361e-05, eta: 21:30:45, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2565, decode.acc_seg: 89.3448, aux.loss_ce: 0.1506, aux.acc_seg: 85.5354, loss: 0.4071 2024-03-04 19:54:21,616 - mmseg - INFO - Iter [50350/160000] lr: 2.360e-05, eta: 21:30:08, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2561, decode.acc_seg: 89.6253, aux.loss_ce: 0.1454, aux.acc_seg: 86.0010, loss: 0.4014 2024-03-04 19:54:55,919 - mmseg - INFO - Iter [50400/160000] lr: 2.359e-05, eta: 21:29:30, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2497, decode.acc_seg: 89.3149, aux.loss_ce: 0.1459, aux.acc_seg: 85.4934, loss: 0.3956 2024-03-04 19:55:30,184 - mmseg - INFO - Iter [50450/160000] lr: 2.358e-05, eta: 21:28:53, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2561, decode.acc_seg: 89.5745, aux.loss_ce: 0.1441, aux.acc_seg: 86.1792, loss: 0.4002 2024-03-04 19:56:04,584 - mmseg - INFO - Iter [50500/160000] lr: 2.357e-05, eta: 21:28:15, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2747, decode.acc_seg: 88.8899, aux.loss_ce: 0.1587, aux.acc_seg: 85.0903, loss: 0.4334 2024-03-04 19:56:41,951 - mmseg - INFO - Iter [50550/160000] lr: 2.356e-05, eta: 21:27:45, time: 0.747, data_time: 0.062, memory: 9361, decode.loss_ce: 0.2645, decode.acc_seg: 89.3856, aux.loss_ce: 0.1457, aux.acc_seg: 86.2020, loss: 0.4102 2024-03-04 19:57:16,265 - mmseg - INFO - Iter [50600/160000] lr: 2.355e-05, eta: 21:27:07, time: 0.686, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2590, decode.acc_seg: 89.5824, aux.loss_ce: 0.1490, aux.acc_seg: 85.8535, loss: 0.4080 2024-03-04 19:57:50,618 - mmseg - INFO - Iter [50650/160000] lr: 2.354e-05, eta: 21:26:30, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2474, decode.acc_seg: 90.0166, aux.loss_ce: 0.1396, aux.acc_seg: 86.5006, loss: 0.3870 2024-03-04 19:58:24,924 - mmseg - INFO - Iter [50700/160000] lr: 2.353e-05, eta: 21:25:52, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2354, decode.acc_seg: 90.1552, aux.loss_ce: 0.1344, aux.acc_seg: 86.7035, loss: 0.3699 2024-03-04 19:58:59,361 - mmseg - INFO - Iter [50750/160000] lr: 2.351e-05, eta: 21:25:15, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2316, decode.acc_seg: 90.6770, aux.loss_ce: 0.1400, aux.acc_seg: 86.7832, loss: 0.3717 2024-03-04 19:59:33,592 - mmseg - INFO - Iter [50800/160000] lr: 2.350e-05, eta: 21:24:38, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2256, decode.acc_seg: 90.6489, aux.loss_ce: 0.1359, aux.acc_seg: 86.6307, loss: 0.3615 2024-03-04 20:00:07,924 - mmseg - INFO - Iter [50850/160000] lr: 2.349e-05, eta: 21:24:00, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2373, decode.acc_seg: 90.2217, aux.loss_ce: 0.1362, aux.acc_seg: 86.8863, loss: 0.3735 2024-03-04 20:00:42,518 - mmseg - INFO - Iter [50900/160000] lr: 2.348e-05, eta: 21:23:23, time: 0.692, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2444, decode.acc_seg: 89.8408, aux.loss_ce: 0.1383, aux.acc_seg: 86.5046, loss: 0.3827 2024-03-04 20:01:16,957 - mmseg - INFO - Iter [50950/160000] lr: 2.347e-05, eta: 21:22:46, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2473, decode.acc_seg: 89.4539, aux.loss_ce: 0.1379, aux.acc_seg: 85.9939, loss: 0.3852 2024-03-04 20:01:51,247 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 20:01:51,248 - mmseg - INFO - Iter [51000/160000] lr: 2.346e-05, eta: 21:22:09, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2567, decode.acc_seg: 89.6536, aux.loss_ce: 0.1459, aux.acc_seg: 86.2592, loss: 0.4026 2024-03-04 20:02:25,560 - mmseg - INFO - Iter [51050/160000] lr: 2.345e-05, eta: 21:21:32, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2474, decode.acc_seg: 89.6676, aux.loss_ce: 0.1451, aux.acc_seg: 85.8912, loss: 0.3926 2024-03-04 20:02:59,804 - mmseg - INFO - Iter [51100/160000] lr: 2.344e-05, eta: 21:20:54, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2340, decode.acc_seg: 90.0468, aux.loss_ce: 0.1402, aux.acc_seg: 86.0185, loss: 0.3741 2024-03-04 20:03:33,971 - mmseg - INFO - Iter [51150/160000] lr: 2.343e-05, eta: 21:20:16, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2360, decode.acc_seg: 90.1189, aux.loss_ce: 0.1352, aux.acc_seg: 86.7045, loss: 0.3712 2024-03-04 20:04:08,219 - mmseg - INFO - Iter [51200/160000] lr: 2.342e-05, eta: 21:19:39, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2561, decode.acc_seg: 89.3524, aux.loss_ce: 0.1519, aux.acc_seg: 85.3681, loss: 0.4080 2024-03-04 20:04:42,580 - mmseg - INFO - Iter [51250/160000] lr: 2.341e-05, eta: 21:19:02, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2505, decode.acc_seg: 89.7668, aux.loss_ce: 0.1454, aux.acc_seg: 86.0188, loss: 0.3959 2024-03-04 20:05:16,851 - mmseg - INFO - Iter [51300/160000] lr: 2.340e-05, eta: 21:18:24, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2545, decode.acc_seg: 89.5082, aux.loss_ce: 0.1510, aux.acc_seg: 85.3046, loss: 0.4054 2024-03-04 20:05:51,129 - mmseg - INFO - Iter [51350/160000] lr: 2.339e-05, eta: 21:17:47, time: 0.686, data_time: 0.012, memory: 9361, decode.loss_ce: 0.2443, decode.acc_seg: 89.9631, aux.loss_ce: 0.1435, aux.acc_seg: 85.8744, loss: 0.3878 2024-03-04 20:06:25,581 - mmseg - INFO - Iter [51400/160000] lr: 2.337e-05, eta: 21:17:10, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2657, decode.acc_seg: 89.0491, aux.loss_ce: 0.1478, aux.acc_seg: 85.6185, loss: 0.4135 2024-03-04 20:07:00,257 - mmseg - INFO - Iter [51450/160000] lr: 2.336e-05, eta: 21:16:33, time: 0.694, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2527, decode.acc_seg: 89.8111, aux.loss_ce: 0.1434, aux.acc_seg: 86.3371, loss: 0.3960 2024-03-04 20:07:34,589 - mmseg - INFO - Iter [51500/160000] lr: 2.335e-05, eta: 21:15:56, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2580, decode.acc_seg: 89.5805, aux.loss_ce: 0.1489, aux.acc_seg: 85.6670, loss: 0.4069 2024-03-04 20:08:08,798 - mmseg - INFO - Iter [51550/160000] lr: 2.334e-05, eta: 21:15:18, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2627, decode.acc_seg: 89.4060, aux.loss_ce: 0.1492, aux.acc_seg: 85.6486, loss: 0.4119 2024-03-04 20:08:43,428 - mmseg - INFO - Iter [51600/160000] lr: 2.333e-05, eta: 21:14:42, time: 0.693, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2589, decode.acc_seg: 89.7088, aux.loss_ce: 0.1553, aux.acc_seg: 85.4280, loss: 0.4141 2024-03-04 20:09:17,781 - mmseg - INFO - Iter [51650/160000] lr: 2.332e-05, eta: 21:14:05, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2655, decode.acc_seg: 89.0464, aux.loss_ce: 0.1535, aux.acc_seg: 85.1793, loss: 0.4190 2024-03-04 20:09:52,051 - mmseg - INFO - Iter [51700/160000] lr: 2.331e-05, eta: 21:13:27, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2514, decode.acc_seg: 89.3914, aux.loss_ce: 0.1468, aux.acc_seg: 85.6131, loss: 0.3982 2024-03-04 20:10:26,388 - mmseg - INFO - Iter [51750/160000] lr: 2.330e-05, eta: 21:12:50, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2594, decode.acc_seg: 89.4454, aux.loss_ce: 0.1455, aux.acc_seg: 85.9932, loss: 0.4050 2024-03-04 20:11:03,691 - mmseg - INFO - Iter [51800/160000] lr: 2.329e-05, eta: 21:12:19, time: 0.746, data_time: 0.056, memory: 9361, decode.loss_ce: 0.2530, decode.acc_seg: 89.5627, aux.loss_ce: 0.1443, aux.acc_seg: 85.9920, loss: 0.3973 2024-03-04 20:11:38,300 - mmseg - INFO - Iter [51850/160000] lr: 2.328e-05, eta: 21:11:42, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2463, decode.acc_seg: 89.9229, aux.loss_ce: 0.1410, aux.acc_seg: 86.2735, loss: 0.3874 2024-03-04 20:12:12,730 - mmseg - INFO - Iter [51900/160000] lr: 2.327e-05, eta: 21:11:05, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2405, decode.acc_seg: 89.9956, aux.loss_ce: 0.1413, aux.acc_seg: 86.1422, loss: 0.3818 2024-03-04 20:12:46,963 - mmseg - INFO - Iter [51950/160000] lr: 2.326e-05, eta: 21:10:28, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2557, decode.acc_seg: 89.7882, aux.loss_ce: 0.1435, aux.acc_seg: 86.4429, loss: 0.3992 2024-03-04 20:13:21,377 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 20:13:21,377 - mmseg - INFO - Iter [52000/160000] lr: 2.325e-05, eta: 21:09:51, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2234, decode.acc_seg: 90.8520, aux.loss_ce: 0.1268, aux.acc_seg: 87.5809, loss: 0.3503 2024-03-04 20:13:55,742 - mmseg - INFO - Iter [52050/160000] lr: 2.323e-05, eta: 21:09:13, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2492, decode.acc_seg: 90.0290, aux.loss_ce: 0.1452, aux.acc_seg: 86.2432, loss: 0.3943 2024-03-04 20:14:29,959 - mmseg - INFO - Iter [52100/160000] lr: 2.322e-05, eta: 21:08:36, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2474, decode.acc_seg: 89.9254, aux.loss_ce: 0.1388, aux.acc_seg: 86.5430, loss: 0.3861 2024-03-04 20:15:04,285 - mmseg - INFO - Iter [52150/160000] lr: 2.321e-05, eta: 21:07:59, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2398, decode.acc_seg: 90.2433, aux.loss_ce: 0.1429, aux.acc_seg: 86.3638, loss: 0.3827 2024-03-04 20:15:38,685 - mmseg - INFO - Iter [52200/160000] lr: 2.320e-05, eta: 21:07:22, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2410, decode.acc_seg: 89.8581, aux.loss_ce: 0.1370, aux.acc_seg: 86.5922, loss: 0.3780 2024-03-04 20:16:13,080 - mmseg - INFO - Iter [52250/160000] lr: 2.319e-05, eta: 21:06:45, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2465, decode.acc_seg: 89.9366, aux.loss_ce: 0.1428, aux.acc_seg: 86.4123, loss: 0.3893 2024-03-04 20:16:47,350 - mmseg - INFO - Iter [52300/160000] lr: 2.318e-05, eta: 21:06:07, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2378, decode.acc_seg: 90.0154, aux.loss_ce: 0.1385, aux.acc_seg: 86.2892, loss: 0.3764 2024-03-04 20:17:21,782 - mmseg - INFO - Iter [52350/160000] lr: 2.317e-05, eta: 21:05:30, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2382, decode.acc_seg: 90.0943, aux.loss_ce: 0.1365, aux.acc_seg: 86.8427, loss: 0.3748 2024-03-04 20:17:56,013 - mmseg - INFO - Iter [52400/160000] lr: 2.316e-05, eta: 21:04:53, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2221, decode.acc_seg: 90.8120, aux.loss_ce: 0.1337, aux.acc_seg: 87.4776, loss: 0.3558 2024-03-04 20:18:30,258 - mmseg - INFO - Iter [52450/160000] lr: 2.315e-05, eta: 21:04:16, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2553, decode.acc_seg: 89.6705, aux.loss_ce: 0.1434, aux.acc_seg: 86.2473, loss: 0.3988 2024-03-04 20:19:04,521 - mmseg - INFO - Iter [52500/160000] lr: 2.314e-05, eta: 21:03:38, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2419, decode.acc_seg: 90.0446, aux.loss_ce: 0.1435, aux.acc_seg: 86.0408, loss: 0.3854 2024-03-04 20:19:38,879 - mmseg - INFO - Iter [52550/160000] lr: 2.313e-05, eta: 21:03:01, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2373, decode.acc_seg: 90.2360, aux.loss_ce: 0.1386, aux.acc_seg: 86.5974, loss: 0.3759 2024-03-04 20:20:13,103 - mmseg - INFO - Iter [52600/160000] lr: 2.312e-05, eta: 21:02:24, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2408, decode.acc_seg: 90.0611, aux.loss_ce: 0.1376, aux.acc_seg: 86.6314, loss: 0.3784 2024-03-04 20:20:47,338 - mmseg - INFO - Iter [52650/160000] lr: 2.311e-05, eta: 21:01:46, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2546, decode.acc_seg: 89.9053, aux.loss_ce: 0.1494, aux.acc_seg: 86.0680, loss: 0.4041 2024-03-04 20:21:21,620 - mmseg - INFO - Iter [52700/160000] lr: 2.309e-05, eta: 21:01:09, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2620, decode.acc_seg: 89.3861, aux.loss_ce: 0.1481, aux.acc_seg: 85.9393, loss: 0.4101 2024-03-04 20:21:55,895 - mmseg - INFO - Iter [52750/160000] lr: 2.308e-05, eta: 21:00:32, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2485, decode.acc_seg: 89.7472, aux.loss_ce: 0.1413, aux.acc_seg: 86.2472, loss: 0.3898 2024-03-04 20:22:30,100 - mmseg - INFO - Iter [52800/160000] lr: 2.307e-05, eta: 20:59:54, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2602, decode.acc_seg: 89.3958, aux.loss_ce: 0.1530, aux.acc_seg: 85.4754, loss: 0.4132 2024-03-04 20:23:04,522 - mmseg - INFO - Iter [52850/160000] lr: 2.306e-05, eta: 20:59:17, time: 0.688, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2432, decode.acc_seg: 89.9241, aux.loss_ce: 0.1403, aux.acc_seg: 86.3657, loss: 0.3835 2024-03-04 20:23:38,806 - mmseg - INFO - Iter [52900/160000] lr: 2.305e-05, eta: 20:58:40, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2428, decode.acc_seg: 89.9430, aux.loss_ce: 0.1378, aux.acc_seg: 86.6654, loss: 0.3807 2024-03-04 20:24:13,378 - mmseg - INFO - Iter [52950/160000] lr: 2.304e-05, eta: 20:58:04, time: 0.691, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2296, decode.acc_seg: 90.6201, aux.loss_ce: 0.1317, aux.acc_seg: 87.4353, loss: 0.3613 2024-03-04 20:24:47,789 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 20:24:47,789 - mmseg - INFO - Iter [53000/160000] lr: 2.303e-05, eta: 20:57:27, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2518, decode.acc_seg: 89.8806, aux.loss_ce: 0.1438, aux.acc_seg: 86.3985, loss: 0.3957 2024-03-04 20:25:25,172 - mmseg - INFO - Iter [53050/160000] lr: 2.302e-05, eta: 20:56:56, time: 0.748, data_time: 0.064, memory: 9361, decode.loss_ce: 0.2433, decode.acc_seg: 89.7943, aux.loss_ce: 0.1415, aux.acc_seg: 86.0044, loss: 0.3847 2024-03-04 20:25:59,630 - mmseg - INFO - Iter [53100/160000] lr: 2.301e-05, eta: 20:56:19, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2339, decode.acc_seg: 90.4160, aux.loss_ce: 0.1336, aux.acc_seg: 86.9993, loss: 0.3675 2024-03-04 20:26:34,204 - mmseg - INFO - Iter [53150/160000] lr: 2.300e-05, eta: 20:55:42, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2310, decode.acc_seg: 90.5182, aux.loss_ce: 0.1351, aux.acc_seg: 86.7796, loss: 0.3660 2024-03-04 20:27:08,665 - mmseg - INFO - Iter [53200/160000] lr: 2.299e-05, eta: 20:55:05, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2415, decode.acc_seg: 90.3936, aux.loss_ce: 0.1358, aux.acc_seg: 86.9057, loss: 0.3773 2024-03-04 20:27:43,163 - mmseg - INFO - Iter [53250/160000] lr: 2.298e-05, eta: 20:54:29, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2505, decode.acc_seg: 89.8438, aux.loss_ce: 0.1460, aux.acc_seg: 85.9852, loss: 0.3965 2024-03-04 20:28:17,750 - mmseg - INFO - Iter [53300/160000] lr: 2.297e-05, eta: 20:53:52, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2388, decode.acc_seg: 89.9483, aux.loss_ce: 0.1377, aux.acc_seg: 86.3816, loss: 0.3766 2024-03-04 20:28:52,159 - mmseg - INFO - Iter [53350/160000] lr: 2.295e-05, eta: 20:53:15, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2363, decode.acc_seg: 90.3020, aux.loss_ce: 0.1404, aux.acc_seg: 86.3546, loss: 0.3767 2024-03-04 20:29:26,400 - mmseg - INFO - Iter [53400/160000] lr: 2.294e-05, eta: 20:52:38, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2505, decode.acc_seg: 89.5441, aux.loss_ce: 0.1487, aux.acc_seg: 85.6753, loss: 0.3992 2024-03-04 20:30:00,916 - mmseg - INFO - Iter [53450/160000] lr: 2.293e-05, eta: 20:52:01, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2360, decode.acc_seg: 90.4562, aux.loss_ce: 0.1363, aux.acc_seg: 86.8352, loss: 0.3723 2024-03-04 20:30:35,275 - mmseg - INFO - Iter [53500/160000] lr: 2.292e-05, eta: 20:51:24, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2463, decode.acc_seg: 89.5754, aux.loss_ce: 0.1426, aux.acc_seg: 85.8709, loss: 0.3889 2024-03-04 20:31:09,748 - mmseg - INFO - Iter [53550/160000] lr: 2.291e-05, eta: 20:50:47, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2574, decode.acc_seg: 89.5081, aux.loss_ce: 0.1445, aux.acc_seg: 86.0445, loss: 0.4020 2024-03-04 20:31:44,112 - mmseg - INFO - Iter [53600/160000] lr: 2.290e-05, eta: 20:50:10, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2541, decode.acc_seg: 89.5063, aux.loss_ce: 0.1454, aux.acc_seg: 85.8852, loss: 0.3995 2024-03-04 20:32:18,266 - mmseg - INFO - Iter [53650/160000] lr: 2.289e-05, eta: 20:49:33, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2353, decode.acc_seg: 90.2024, aux.loss_ce: 0.1385, aux.acc_seg: 86.5209, loss: 0.3738 2024-03-04 20:32:52,776 - mmseg - INFO - Iter [53700/160000] lr: 2.288e-05, eta: 20:48:56, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2538, decode.acc_seg: 89.6892, aux.loss_ce: 0.1512, aux.acc_seg: 85.5653, loss: 0.4051 2024-03-04 20:33:27,200 - mmseg - INFO - Iter [53750/160000] lr: 2.287e-05, eta: 20:48:19, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2412, decode.acc_seg: 90.2579, aux.loss_ce: 0.1347, aux.acc_seg: 87.0718, loss: 0.3760 2024-03-04 20:34:01,512 - mmseg - INFO - Iter [53800/160000] lr: 2.286e-05, eta: 20:47:42, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2330, decode.acc_seg: 90.3450, aux.loss_ce: 0.1368, aux.acc_seg: 86.5154, loss: 0.3698 2024-03-04 20:34:35,703 - mmseg - INFO - Iter [53850/160000] lr: 2.285e-05, eta: 20:47:05, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2428, decode.acc_seg: 89.7502, aux.loss_ce: 0.1397, aux.acc_seg: 86.1762, loss: 0.3826 2024-03-04 20:35:10,090 - mmseg - INFO - Iter [53900/160000] lr: 2.284e-05, eta: 20:46:28, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2479, decode.acc_seg: 89.7335, aux.loss_ce: 0.1434, aux.acc_seg: 85.8435, loss: 0.3913 2024-03-04 20:35:44,599 - mmseg - INFO - Iter [53950/160000] lr: 2.283e-05, eta: 20:45:51, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2344, decode.acc_seg: 90.1157, aux.loss_ce: 0.1345, aux.acc_seg: 86.7936, loss: 0.3689 2024-03-04 20:36:19,075 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 20:36:19,076 - mmseg - INFO - Iter [54000/160000] lr: 2.281e-05, eta: 20:45:14, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2499, decode.acc_seg: 89.8175, aux.loss_ce: 0.1388, aux.acc_seg: 86.6435, loss: 0.3887 2024-03-04 20:36:53,519 - mmseg - INFO - Iter [54050/160000] lr: 2.280e-05, eta: 20:44:38, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2568, decode.acc_seg: 89.3991, aux.loss_ce: 0.1471, aux.acc_seg: 85.7516, loss: 0.4039 2024-03-04 20:37:28,043 - mmseg - INFO - Iter [54100/160000] lr: 2.279e-05, eta: 20:44:01, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2319, decode.acc_seg: 90.2934, aux.loss_ce: 0.1325, aux.acc_seg: 86.8538, loss: 0.3644 2024-03-04 20:38:02,505 - mmseg - INFO - Iter [54150/160000] lr: 2.278e-05, eta: 20:43:24, time: 0.689, data_time: 0.012, memory: 9361, decode.loss_ce: 0.2425, decode.acc_seg: 90.1952, aux.loss_ce: 0.1397, aux.acc_seg: 86.8477, loss: 0.3822 2024-03-04 20:38:36,855 - mmseg - INFO - Iter [54200/160000] lr: 2.277e-05, eta: 20:42:47, time: 0.687, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2349, decode.acc_seg: 90.2077, aux.loss_ce: 0.1373, aux.acc_seg: 86.6427, loss: 0.3722 2024-03-04 20:39:11,422 - mmseg - INFO - Iter [54250/160000] lr: 2.276e-05, eta: 20:42:11, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2442, decode.acc_seg: 90.0826, aux.loss_ce: 0.1409, aux.acc_seg: 86.6518, loss: 0.3851 2024-03-04 20:39:45,823 - mmseg - INFO - Iter [54300/160000] lr: 2.275e-05, eta: 20:41:34, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2430, decode.acc_seg: 89.9986, aux.loss_ce: 0.1417, aux.acc_seg: 86.4086, loss: 0.3847 2024-03-04 20:40:23,285 - mmseg - INFO - Iter [54350/160000] lr: 2.274e-05, eta: 20:41:03, time: 0.749, data_time: 0.065, memory: 9361, decode.loss_ce: 0.2364, decode.acc_seg: 90.3069, aux.loss_ce: 0.1428, aux.acc_seg: 86.3862, loss: 0.3792 2024-03-04 20:40:57,682 - mmseg - INFO - Iter [54400/160000] lr: 2.273e-05, eta: 20:40:26, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2398, decode.acc_seg: 90.0011, aux.loss_ce: 0.1398, aux.acc_seg: 86.1698, loss: 0.3796 2024-03-04 20:41:31,854 - mmseg - INFO - Iter [54450/160000] lr: 2.272e-05, eta: 20:39:49, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2320, decode.acc_seg: 90.5219, aux.loss_ce: 0.1335, aux.acc_seg: 87.0245, loss: 0.3655 2024-03-04 20:42:06,299 - mmseg - INFO - Iter [54500/160000] lr: 2.271e-05, eta: 20:39:12, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2372, decode.acc_seg: 90.4019, aux.loss_ce: 0.1337, aux.acc_seg: 87.1586, loss: 0.3709 2024-03-04 20:42:40,801 - mmseg - INFO - Iter [54550/160000] lr: 2.270e-05, eta: 20:38:35, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2291, decode.acc_seg: 90.5976, aux.loss_ce: 0.1326, aux.acc_seg: 87.2708, loss: 0.3617 2024-03-04 20:43:15,339 - mmseg - INFO - Iter [54600/160000] lr: 2.269e-05, eta: 20:37:59, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2357, decode.acc_seg: 90.2321, aux.loss_ce: 0.1349, aux.acc_seg: 86.6949, loss: 0.3706 2024-03-04 20:43:49,721 - mmseg - INFO - Iter [54650/160000] lr: 2.268e-05, eta: 20:37:22, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2359, decode.acc_seg: 90.1989, aux.loss_ce: 0.1393, aux.acc_seg: 86.5133, loss: 0.3753 2024-03-04 20:44:24,202 - mmseg - INFO - Iter [54700/160000] lr: 2.266e-05, eta: 20:36:45, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2309, decode.acc_seg: 90.4059, aux.loss_ce: 0.1366, aux.acc_seg: 86.6791, loss: 0.3676 2024-03-04 20:44:58,634 - mmseg - INFO - Iter [54750/160000] lr: 2.265e-05, eta: 20:36:08, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2390, decode.acc_seg: 90.0018, aux.loss_ce: 0.1371, aux.acc_seg: 86.2722, loss: 0.3761 2024-03-04 20:45:32,997 - mmseg - INFO - Iter [54800/160000] lr: 2.264e-05, eta: 20:35:31, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2369, decode.acc_seg: 90.2268, aux.loss_ce: 0.1374, aux.acc_seg: 86.6570, loss: 0.3743 2024-03-04 20:46:07,614 - mmseg - INFO - Iter [54850/160000] lr: 2.263e-05, eta: 20:34:55, time: 0.692, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2391, decode.acc_seg: 90.2145, aux.loss_ce: 0.1404, aux.acc_seg: 86.5865, loss: 0.3795 2024-03-04 20:46:42,130 - mmseg - INFO - Iter [54900/160000] lr: 2.262e-05, eta: 20:34:18, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2478, decode.acc_seg: 89.9188, aux.loss_ce: 0.1418, aux.acc_seg: 86.2422, loss: 0.3896 2024-03-04 20:47:16,559 - mmseg - INFO - Iter [54950/160000] lr: 2.261e-05, eta: 20:33:42, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2274, decode.acc_seg: 90.5630, aux.loss_ce: 0.1340, aux.acc_seg: 86.8011, loss: 0.3614 2024-03-04 20:47:51,079 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 20:47:51,079 - mmseg - INFO - Iter [55000/160000] lr: 2.260e-05, eta: 20:33:05, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2307, decode.acc_seg: 90.5421, aux.loss_ce: 0.1362, aux.acc_seg: 86.8356, loss: 0.3669 2024-03-04 20:48:25,417 - mmseg - INFO - Iter [55050/160000] lr: 2.259e-05, eta: 20:32:28, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2535, decode.acc_seg: 89.6536, aux.loss_ce: 0.1434, aux.acc_seg: 85.9504, loss: 0.3969 2024-03-04 20:48:59,928 - mmseg - INFO - Iter [55100/160000] lr: 2.258e-05, eta: 20:31:51, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2509, decode.acc_seg: 89.8057, aux.loss_ce: 0.1458, aux.acc_seg: 85.9875, loss: 0.3968 2024-03-04 20:49:34,293 - mmseg - INFO - Iter [55150/160000] lr: 2.257e-05, eta: 20:31:15, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2495, decode.acc_seg: 89.9670, aux.loss_ce: 0.1385, aux.acc_seg: 86.6585, loss: 0.3880 2024-03-04 20:50:08,827 - mmseg - INFO - Iter [55200/160000] lr: 2.256e-05, eta: 20:30:38, time: 0.691, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2398, decode.acc_seg: 90.1763, aux.loss_ce: 0.1369, aux.acc_seg: 86.7700, loss: 0.3767 2024-03-04 20:50:43,233 - mmseg - INFO - Iter [55250/160000] lr: 2.255e-05, eta: 20:30:01, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2407, decode.acc_seg: 90.0053, aux.loss_ce: 0.1395, aux.acc_seg: 86.7307, loss: 0.3803 2024-03-04 20:51:17,692 - mmseg - INFO - Iter [55300/160000] lr: 2.254e-05, eta: 20:29:25, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2527, decode.acc_seg: 89.7227, aux.loss_ce: 0.1432, aux.acc_seg: 86.0714, loss: 0.3959 2024-03-04 20:51:52,124 - mmseg - INFO - Iter [55350/160000] lr: 2.252e-05, eta: 20:28:48, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2533, decode.acc_seg: 90.2135, aux.loss_ce: 0.1440, aux.acc_seg: 86.7627, loss: 0.3973 2024-03-04 20:52:26,587 - mmseg - INFO - Iter [55400/160000] lr: 2.251e-05, eta: 20:28:11, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2518, decode.acc_seg: 89.7438, aux.loss_ce: 0.1410, aux.acc_seg: 86.7280, loss: 0.3928 2024-03-04 20:53:00,977 - mmseg - INFO - Iter [55450/160000] lr: 2.250e-05, eta: 20:27:34, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2368, decode.acc_seg: 90.4143, aux.loss_ce: 0.1383, aux.acc_seg: 86.7361, loss: 0.3751 2024-03-04 20:53:35,508 - mmseg - INFO - Iter [55500/160000] lr: 2.249e-05, eta: 20:26:58, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2235, decode.acc_seg: 90.7334, aux.loss_ce: 0.1299, aux.acc_seg: 87.5401, loss: 0.3534 2024-03-04 20:54:10,119 - mmseg - INFO - Iter [55550/160000] lr: 2.248e-05, eta: 20:26:21, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2330, decode.acc_seg: 90.3530, aux.loss_ce: 0.1333, aux.acc_seg: 87.2084, loss: 0.3663 2024-03-04 20:54:47,813 - mmseg - INFO - Iter [55600/160000] lr: 2.247e-05, eta: 20:25:51, time: 0.754, data_time: 0.064, memory: 9361, decode.loss_ce: 0.2378, decode.acc_seg: 90.1912, aux.loss_ce: 0.1405, aux.acc_seg: 86.3501, loss: 0.3783 2024-03-04 20:55:22,047 - mmseg - INFO - Iter [55650/160000] lr: 2.246e-05, eta: 20:25:14, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2228, decode.acc_seg: 90.6615, aux.loss_ce: 0.1341, aux.acc_seg: 86.7660, loss: 0.3569 2024-03-04 20:55:56,535 - mmseg - INFO - Iter [55700/160000] lr: 2.245e-05, eta: 20:24:37, time: 0.690, data_time: 0.012, memory: 9361, decode.loss_ce: 0.2205, decode.acc_seg: 90.8635, aux.loss_ce: 0.1316, aux.acc_seg: 87.2217, loss: 0.3521 2024-03-04 20:56:30,938 - mmseg - INFO - Iter [55750/160000] lr: 2.244e-05, eta: 20:24:00, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2208, decode.acc_seg: 90.6547, aux.loss_ce: 0.1294, aux.acc_seg: 87.3413, loss: 0.3502 2024-03-04 20:57:05,326 - mmseg - INFO - Iter [55800/160000] lr: 2.243e-05, eta: 20:23:24, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2338, decode.acc_seg: 90.2980, aux.loss_ce: 0.1315, aux.acc_seg: 86.9962, loss: 0.3654 2024-03-04 20:57:39,742 - mmseg - INFO - Iter [55850/160000] lr: 2.242e-05, eta: 20:22:47, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2343, decode.acc_seg: 90.4732, aux.loss_ce: 0.1349, aux.acc_seg: 87.1243, loss: 0.3692 2024-03-04 20:58:14,123 - mmseg - INFO - Iter [55900/160000] lr: 2.241e-05, eta: 20:22:10, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2716, decode.acc_seg: 89.2356, aux.loss_ce: 0.1553, aux.acc_seg: 85.6047, loss: 0.4269 2024-03-04 20:58:48,435 - mmseg - INFO - Iter [55950/160000] lr: 2.240e-05, eta: 20:21:33, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2428, decode.acc_seg: 89.8554, aux.loss_ce: 0.1444, aux.acc_seg: 85.8334, loss: 0.3872 2024-03-04 20:59:22,620 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 20:59:22,621 - mmseg - INFO - Iter [56000/160000] lr: 2.238e-05, eta: 20:20:56, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2347, decode.acc_seg: 90.3386, aux.loss_ce: 0.1366, aux.acc_seg: 86.7846, loss: 0.3713 2024-03-04 20:59:56,901 - mmseg - INFO - Iter [56050/160000] lr: 2.237e-05, eta: 20:20:19, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2317, decode.acc_seg: 90.5767, aux.loss_ce: 0.1335, aux.acc_seg: 87.1756, loss: 0.3652 2024-03-04 21:00:31,321 - mmseg - INFO - Iter [56100/160000] lr: 2.236e-05, eta: 20:19:42, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2255, decode.acc_seg: 90.7200, aux.loss_ce: 0.1329, aux.acc_seg: 87.0112, loss: 0.3584 2024-03-04 21:01:05,804 - mmseg - INFO - Iter [56150/160000] lr: 2.235e-05, eta: 20:19:06, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2290, decode.acc_seg: 90.4131, aux.loss_ce: 0.1286, aux.acc_seg: 87.2594, loss: 0.3576 2024-03-04 21:01:40,368 - mmseg - INFO - Iter [56200/160000] lr: 2.234e-05, eta: 20:18:29, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2473, decode.acc_seg: 89.8664, aux.loss_ce: 0.1413, aux.acc_seg: 86.4609, loss: 0.3887 2024-03-04 21:02:14,749 - mmseg - INFO - Iter [56250/160000] lr: 2.233e-05, eta: 20:17:53, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2350, decode.acc_seg: 90.3455, aux.loss_ce: 0.1347, aux.acc_seg: 87.0613, loss: 0.3696 2024-03-04 21:02:49,257 - mmseg - INFO - Iter [56300/160000] lr: 2.232e-05, eta: 20:17:16, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2294, decode.acc_seg: 90.4178, aux.loss_ce: 0.1354, aux.acc_seg: 86.6997, loss: 0.3648 2024-03-04 21:03:23,708 - mmseg - INFO - Iter [56350/160000] lr: 2.231e-05, eta: 20:16:39, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2295, decode.acc_seg: 90.5829, aux.loss_ce: 0.1373, aux.acc_seg: 86.8381, loss: 0.3668 2024-03-04 21:03:58,096 - mmseg - INFO - Iter [56400/160000] lr: 2.230e-05, eta: 20:16:03, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2299, decode.acc_seg: 90.2384, aux.loss_ce: 0.1357, aux.acc_seg: 86.7041, loss: 0.3656 2024-03-04 21:04:32,712 - mmseg - INFO - Iter [56450/160000] lr: 2.229e-05, eta: 20:15:26, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2414, decode.acc_seg: 89.9868, aux.loss_ce: 0.1407, aux.acc_seg: 86.4394, loss: 0.3821 2024-03-04 21:05:07,150 - mmseg - INFO - Iter [56500/160000] lr: 2.228e-05, eta: 20:14:50, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2326, decode.acc_seg: 90.2095, aux.loss_ce: 0.1328, aux.acc_seg: 87.1493, loss: 0.3653 2024-03-04 21:05:41,349 - mmseg - INFO - Iter [56550/160000] lr: 2.227e-05, eta: 20:14:13, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2489, decode.acc_seg: 89.4808, aux.loss_ce: 0.1395, aux.acc_seg: 86.1021, loss: 0.3884 2024-03-04 21:06:15,972 - mmseg - INFO - Iter [56600/160000] lr: 2.226e-05, eta: 20:13:36, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2446, decode.acc_seg: 90.1495, aux.loss_ce: 0.1448, aux.acc_seg: 86.3795, loss: 0.3894 2024-03-04 21:06:50,412 - mmseg - INFO - Iter [56650/160000] lr: 2.224e-05, eta: 20:13:00, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2519, decode.acc_seg: 89.8763, aux.loss_ce: 0.1413, aux.acc_seg: 86.4528, loss: 0.3932 2024-03-04 21:07:24,807 - mmseg - INFO - Iter [56700/160000] lr: 2.223e-05, eta: 20:12:23, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2343, decode.acc_seg: 90.3338, aux.loss_ce: 0.1396, aux.acc_seg: 86.4761, loss: 0.3739 2024-03-04 21:07:59,209 - mmseg - INFO - Iter [56750/160000] lr: 2.222e-05, eta: 20:11:46, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2502, decode.acc_seg: 89.8528, aux.loss_ce: 0.1462, aux.acc_seg: 86.0862, loss: 0.3965 2024-03-04 21:08:33,659 - mmseg - INFO - Iter [56800/160000] lr: 2.221e-05, eta: 20:11:10, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2416, decode.acc_seg: 90.1168, aux.loss_ce: 0.1387, aux.acc_seg: 86.5312, loss: 0.3803 2024-03-04 21:09:11,017 - mmseg - INFO - Iter [56850/160000] lr: 2.220e-05, eta: 20:10:39, time: 0.747, data_time: 0.067, memory: 9361, decode.loss_ce: 0.2282, decode.acc_seg: 90.7234, aux.loss_ce: 0.1371, aux.acc_seg: 86.7266, loss: 0.3653 2024-03-04 21:09:45,522 - mmseg - INFO - Iter [56900/160000] lr: 2.219e-05, eta: 20:10:02, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2271, decode.acc_seg: 90.5151, aux.loss_ce: 0.1319, aux.acc_seg: 87.1690, loss: 0.3589 2024-03-04 21:10:19,920 - mmseg - INFO - Iter [56950/160000] lr: 2.218e-05, eta: 20:09:25, time: 0.688, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2269, decode.acc_seg: 90.6293, aux.loss_ce: 0.1305, aux.acc_seg: 87.2091, loss: 0.3573 2024-03-04 21:10:54,394 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 21:10:54,395 - mmseg - INFO - Iter [57000/160000] lr: 2.217e-05, eta: 20:08:49, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2218, decode.acc_seg: 90.6237, aux.loss_ce: 0.1274, aux.acc_seg: 87.5166, loss: 0.3492 2024-03-04 21:11:28,910 - mmseg - INFO - Iter [57050/160000] lr: 2.216e-05, eta: 20:08:12, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2382, decode.acc_seg: 90.4960, aux.loss_ce: 0.1378, aux.acc_seg: 86.7821, loss: 0.3760 2024-03-04 21:12:03,461 - mmseg - INFO - Iter [57100/160000] lr: 2.215e-05, eta: 20:07:36, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2295, decode.acc_seg: 90.4580, aux.loss_ce: 0.1338, aux.acc_seg: 86.7113, loss: 0.3634 2024-03-04 21:12:37,835 - mmseg - INFO - Iter [57150/160000] lr: 2.214e-05, eta: 20:06:59, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2235, decode.acc_seg: 90.6084, aux.loss_ce: 0.1350, aux.acc_seg: 87.0039, loss: 0.3585 2024-03-04 21:13:12,093 - mmseg - INFO - Iter [57200/160000] lr: 2.213e-05, eta: 20:06:22, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2337, decode.acc_seg: 90.1592, aux.loss_ce: 0.1331, aux.acc_seg: 86.9121, loss: 0.3668 2024-03-04 21:13:46,350 - mmseg - INFO - Iter [57250/160000] lr: 2.212e-05, eta: 20:05:45, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2342, decode.acc_seg: 90.6302, aux.loss_ce: 0.1341, aux.acc_seg: 87.0137, loss: 0.3683 2024-03-04 21:14:20,551 - mmseg - INFO - Iter [57300/160000] lr: 2.210e-05, eta: 20:05:08, time: 0.684, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2351, decode.acc_seg: 90.2190, aux.loss_ce: 0.1345, aux.acc_seg: 86.9716, loss: 0.3696 2024-03-04 21:14:54,850 - mmseg - INFO - Iter [57350/160000] lr: 2.209e-05, eta: 20:04:32, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2286, decode.acc_seg: 90.4444, aux.loss_ce: 0.1340, aux.acc_seg: 86.9509, loss: 0.3626 2024-03-04 21:15:29,377 - mmseg - INFO - Iter [57400/160000] lr: 2.208e-05, eta: 20:03:55, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2296, decode.acc_seg: 90.3731, aux.loss_ce: 0.1341, aux.acc_seg: 86.8322, loss: 0.3637 2024-03-04 21:16:03,816 - mmseg - INFO - Iter [57450/160000] lr: 2.207e-05, eta: 20:03:19, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2243, decode.acc_seg: 90.5617, aux.loss_ce: 0.1321, aux.acc_seg: 87.0673, loss: 0.3564 2024-03-04 21:16:38,200 - mmseg - INFO - Iter [57500/160000] lr: 2.206e-05, eta: 20:02:42, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2234, decode.acc_seg: 90.5902, aux.loss_ce: 0.1302, aux.acc_seg: 87.0959, loss: 0.3536 2024-03-04 21:17:12,504 - mmseg - INFO - Iter [57550/160000] lr: 2.205e-05, eta: 20:02:05, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2293, decode.acc_seg: 90.6591, aux.loss_ce: 0.1335, aux.acc_seg: 87.1766, loss: 0.3628 2024-03-04 21:17:47,158 - mmseg - INFO - Iter [57600/160000] lr: 2.204e-05, eta: 20:01:29, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2362, decode.acc_seg: 90.1793, aux.loss_ce: 0.1358, aux.acc_seg: 86.3904, loss: 0.3720 2024-03-04 21:18:21,703 - mmseg - INFO - Iter [57650/160000] lr: 2.203e-05, eta: 20:00:53, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2350, decode.acc_seg: 90.7111, aux.loss_ce: 0.1375, aux.acc_seg: 87.0966, loss: 0.3725 2024-03-04 21:18:56,234 - mmseg - INFO - Iter [57700/160000] lr: 2.202e-05, eta: 20:00:16, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2230, decode.acc_seg: 91.0490, aux.loss_ce: 0.1306, aux.acc_seg: 87.5517, loss: 0.3536 2024-03-04 21:19:30,737 - mmseg - INFO - Iter [57750/160000] lr: 2.201e-05, eta: 19:59:40, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2247, decode.acc_seg: 90.5650, aux.loss_ce: 0.1356, aux.acc_seg: 86.7147, loss: 0.3603 2024-03-04 21:20:05,160 - mmseg - INFO - Iter [57800/160000] lr: 2.200e-05, eta: 19:59:03, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2066, decode.acc_seg: 91.0143, aux.loss_ce: 0.1235, aux.acc_seg: 87.4132, loss: 0.3301 2024-03-04 21:20:39,596 - mmseg - INFO - Iter [57850/160000] lr: 2.199e-05, eta: 19:58:27, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2223, decode.acc_seg: 90.7044, aux.loss_ce: 0.1294, aux.acc_seg: 87.5165, loss: 0.3517 2024-03-04 21:21:14,018 - mmseg - INFO - Iter [57900/160000] lr: 2.198e-05, eta: 19:57:50, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2286, decode.acc_seg: 90.2866, aux.loss_ce: 0.1325, aux.acc_seg: 86.9183, loss: 0.3611 2024-03-04 21:21:48,462 - mmseg - INFO - Iter [57950/160000] lr: 2.196e-05, eta: 19:57:14, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2317, decode.acc_seg: 90.3272, aux.loss_ce: 0.1340, aux.acc_seg: 86.9936, loss: 0.3657 2024-03-04 21:22:23,039 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 21:22:23,039 - mmseg - INFO - Iter [58000/160000] lr: 2.195e-05, eta: 19:56:37, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2273, decode.acc_seg: 90.4326, aux.loss_ce: 0.1321, aux.acc_seg: 86.7856, loss: 0.3594 2024-03-04 21:22:57,628 - mmseg - INFO - Iter [58050/160000] lr: 2.194e-05, eta: 19:56:01, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2268, decode.acc_seg: 90.6964, aux.loss_ce: 0.1318, aux.acc_seg: 86.9237, loss: 0.3586 2024-03-04 21:23:34,876 - mmseg - INFO - Iter [58100/160000] lr: 2.193e-05, eta: 19:55:30, time: 0.745, data_time: 0.066, memory: 9361, decode.loss_ce: 0.2243, decode.acc_seg: 90.7769, aux.loss_ce: 0.1361, aux.acc_seg: 86.8718, loss: 0.3604 2024-03-04 21:24:09,591 - mmseg - INFO - Iter [58150/160000] lr: 2.192e-05, eta: 19:54:53, time: 0.694, data_time: 0.014, memory: 9361, decode.loss_ce: 0.2126, decode.acc_seg: 91.1314, aux.loss_ce: 0.1251, aux.acc_seg: 87.7971, loss: 0.3377 2024-03-04 21:24:44,374 - mmseg - INFO - Iter [58200/160000] lr: 2.191e-05, eta: 19:54:18, time: 0.696, data_time: 0.016, memory: 9361, decode.loss_ce: 0.2225, decode.acc_seg: 90.7294, aux.loss_ce: 0.1263, aux.acc_seg: 87.7392, loss: 0.3488 2024-03-04 21:25:18,841 - mmseg - INFO - Iter [58250/160000] lr: 2.190e-05, eta: 19:53:41, time: 0.689, data_time: 0.015, memory: 9361, decode.loss_ce: 0.2230, decode.acc_seg: 90.7918, aux.loss_ce: 0.1289, aux.acc_seg: 87.5221, loss: 0.3519 2024-03-04 21:25:53,252 - mmseg - INFO - Iter [58300/160000] lr: 2.189e-05, eta: 19:53:05, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2140, decode.acc_seg: 91.0960, aux.loss_ce: 0.1313, aux.acc_seg: 87.2235, loss: 0.3453 2024-03-04 21:26:27,630 - mmseg - INFO - Iter [58350/160000] lr: 2.188e-05, eta: 19:52:28, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2393, decode.acc_seg: 90.1416, aux.loss_ce: 0.1430, aux.acc_seg: 86.2763, loss: 0.3823 2024-03-04 21:27:02,097 - mmseg - INFO - Iter [58400/160000] lr: 2.187e-05, eta: 19:51:51, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2187, decode.acc_seg: 90.9772, aux.loss_ce: 0.1312, aux.acc_seg: 87.2199, loss: 0.3498 2024-03-04 21:27:36,614 - mmseg - INFO - Iter [58450/160000] lr: 2.186e-05, eta: 19:51:15, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2206, decode.acc_seg: 90.8114, aux.loss_ce: 0.1290, aux.acc_seg: 87.6048, loss: 0.3496 2024-03-04 21:28:11,073 - mmseg - INFO - Iter [58500/160000] lr: 2.185e-05, eta: 19:50:39, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2083, decode.acc_seg: 91.1326, aux.loss_ce: 0.1207, aux.acc_seg: 88.0593, loss: 0.3291 2024-03-04 21:28:45,520 - mmseg - INFO - Iter [58550/160000] lr: 2.184e-05, eta: 19:50:02, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2180, decode.acc_seg: 90.9313, aux.loss_ce: 0.1320, aux.acc_seg: 87.1320, loss: 0.3501 2024-03-04 21:29:20,013 - mmseg - INFO - Iter [58600/160000] lr: 2.182e-05, eta: 19:49:26, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2221, decode.acc_seg: 90.7118, aux.loss_ce: 0.1273, aux.acc_seg: 87.7366, loss: 0.3493 2024-03-04 21:29:54,437 - mmseg - INFO - Iter [58650/160000] lr: 2.181e-05, eta: 19:48:49, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2336, decode.acc_seg: 90.1638, aux.loss_ce: 0.1326, aux.acc_seg: 86.8175, loss: 0.3661 2024-03-04 21:30:28,955 - mmseg - INFO - Iter [58700/160000] lr: 2.180e-05, eta: 19:48:13, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2125, decode.acc_seg: 91.1399, aux.loss_ce: 0.1214, aux.acc_seg: 88.1378, loss: 0.3339 2024-03-04 21:31:03,322 - mmseg - INFO - Iter [58750/160000] lr: 2.179e-05, eta: 19:47:36, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2254, decode.acc_seg: 90.5905, aux.loss_ce: 0.1302, aux.acc_seg: 87.2146, loss: 0.3556 2024-03-04 21:31:37,562 - mmseg - INFO - Iter [58800/160000] lr: 2.178e-05, eta: 19:46:59, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2315, decode.acc_seg: 90.7898, aux.loss_ce: 0.1289, aux.acc_seg: 87.8422, loss: 0.3604 2024-03-04 21:32:12,082 - mmseg - INFO - Iter [58850/160000] lr: 2.177e-05, eta: 19:46:23, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2449, decode.acc_seg: 89.9931, aux.loss_ce: 0.1402, aux.acc_seg: 86.5295, loss: 0.3851 2024-03-04 21:32:46,479 - mmseg - INFO - Iter [58900/160000] lr: 2.176e-05, eta: 19:45:47, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2211, decode.acc_seg: 90.7674, aux.loss_ce: 0.1289, aux.acc_seg: 87.3491, loss: 0.3499 2024-03-04 21:33:20,983 - mmseg - INFO - Iter [58950/160000] lr: 2.175e-05, eta: 19:45:10, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2227, decode.acc_seg: 90.6951, aux.loss_ce: 0.1299, aux.acc_seg: 87.1862, loss: 0.3525 2024-03-04 21:33:55,408 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 21:33:55,408 - mmseg - INFO - Iter [59000/160000] lr: 2.174e-05, eta: 19:44:34, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2100, decode.acc_seg: 91.3600, aux.loss_ce: 0.1253, aux.acc_seg: 87.8944, loss: 0.3353 2024-03-04 21:34:29,709 - mmseg - INFO - Iter [59050/160000] lr: 2.173e-05, eta: 19:43:57, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2146, decode.acc_seg: 91.1730, aux.loss_ce: 0.1295, aux.acc_seg: 87.4970, loss: 0.3441 2024-03-04 21:35:04,235 - mmseg - INFO - Iter [59100/160000] lr: 2.172e-05, eta: 19:43:21, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2189, decode.acc_seg: 90.7759, aux.loss_ce: 0.1300, aux.acc_seg: 87.2878, loss: 0.3490 2024-03-04 21:35:38,623 - mmseg - INFO - Iter [59150/160000] lr: 2.171e-05, eta: 19:42:44, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2320, decode.acc_seg: 90.3941, aux.loss_ce: 0.1384, aux.acc_seg: 86.3021, loss: 0.3704 2024-03-04 21:36:12,887 - mmseg - INFO - Iter [59200/160000] lr: 2.170e-05, eta: 19:42:07, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2235, decode.acc_seg: 90.9537, aux.loss_ce: 0.1292, aux.acc_seg: 87.6063, loss: 0.3527 2024-03-04 21:36:47,242 - mmseg - INFO - Iter [59250/160000] lr: 2.169e-05, eta: 19:41:31, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2339, decode.acc_seg: 90.2793, aux.loss_ce: 0.1346, aux.acc_seg: 86.8409, loss: 0.3685 2024-03-04 21:37:21,717 - mmseg - INFO - Iter [59300/160000] lr: 2.167e-05, eta: 19:40:54, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2374, decode.acc_seg: 90.0977, aux.loss_ce: 0.1402, aux.acc_seg: 86.3872, loss: 0.3776 2024-03-04 21:37:56,363 - mmseg - INFO - Iter [59350/160000] lr: 2.166e-05, eta: 19:40:18, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2047, decode.acc_seg: 91.4808, aux.loss_ce: 0.1233, aux.acc_seg: 88.0035, loss: 0.3280 2024-03-04 21:38:33,818 - mmseg - INFO - Iter [59400/160000] lr: 2.165e-05, eta: 19:39:47, time: 0.749, data_time: 0.061, memory: 9361, decode.loss_ce: 0.2410, decode.acc_seg: 90.1352, aux.loss_ce: 0.1446, aux.acc_seg: 86.1665, loss: 0.3856 2024-03-04 21:39:08,243 - mmseg - INFO - Iter [59450/160000] lr: 2.164e-05, eta: 19:39:11, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2087, decode.acc_seg: 91.4172, aux.loss_ce: 0.1205, aux.acc_seg: 88.1096, loss: 0.3292 2024-03-04 21:39:42,536 - mmseg - INFO - Iter [59500/160000] lr: 2.163e-05, eta: 19:38:34, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2085, decode.acc_seg: 91.3410, aux.loss_ce: 0.1293, aux.acc_seg: 87.5698, loss: 0.3378 2024-03-04 21:40:17,155 - mmseg - INFO - Iter [59550/160000] lr: 2.162e-05, eta: 19:37:58, time: 0.692, data_time: 0.012, memory: 9361, decode.loss_ce: 0.2055, decode.acc_seg: 91.2857, aux.loss_ce: 0.1198, aux.acc_seg: 88.2609, loss: 0.3254 2024-03-04 21:40:51,427 - mmseg - INFO - Iter [59600/160000] lr: 2.161e-05, eta: 19:37:21, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2234, decode.acc_seg: 90.8327, aux.loss_ce: 0.1294, aux.acc_seg: 87.6561, loss: 0.3527 2024-03-04 21:41:25,839 - mmseg - INFO - Iter [59650/160000] lr: 2.160e-05, eta: 19:36:45, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2195, decode.acc_seg: 90.8393, aux.loss_ce: 0.1304, aux.acc_seg: 87.3377, loss: 0.3499 2024-03-04 21:42:00,105 - mmseg - INFO - Iter [59700/160000] lr: 2.159e-05, eta: 19:36:08, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2126, decode.acc_seg: 91.1778, aux.loss_ce: 0.1218, aux.acc_seg: 88.0854, loss: 0.3344 2024-03-04 21:42:34,303 - mmseg - INFO - Iter [59750/160000] lr: 2.158e-05, eta: 19:35:31, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2091, decode.acc_seg: 91.2875, aux.loss_ce: 0.1196, aux.acc_seg: 88.2780, loss: 0.3287 2024-03-04 21:43:08,700 - mmseg - INFO - Iter [59800/160000] lr: 2.157e-05, eta: 19:34:55, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2174, decode.acc_seg: 90.9791, aux.loss_ce: 0.1256, aux.acc_seg: 87.6335, loss: 0.3429 2024-03-04 21:43:42,981 - mmseg - INFO - Iter [59850/160000] lr: 2.156e-05, eta: 19:34:18, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2440, decode.acc_seg: 90.2111, aux.loss_ce: 0.1349, aux.acc_seg: 87.0555, loss: 0.3788 2024-03-04 21:44:17,265 - mmseg - INFO - Iter [59900/160000] lr: 2.155e-05, eta: 19:33:41, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2463, decode.acc_seg: 89.8762, aux.loss_ce: 0.1450, aux.acc_seg: 86.0580, loss: 0.3913 2024-03-04 21:44:51,817 - mmseg - INFO - Iter [59950/160000] lr: 2.153e-05, eta: 19:33:05, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2210, decode.acc_seg: 90.8069, aux.loss_ce: 0.1354, aux.acc_seg: 87.0392, loss: 0.3564 2024-03-04 21:45:26,267 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 21:45:26,268 - mmseg - INFO - Iter [60000/160000] lr: 2.152e-05, eta: 19:32:29, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2242, decode.acc_seg: 90.7134, aux.loss_ce: 0.1296, aux.acc_seg: 87.4665, loss: 0.3538 2024-03-04 21:46:00,802 - mmseg - INFO - Iter [60050/160000] lr: 2.151e-05, eta: 19:31:52, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2387, decode.acc_seg: 90.0969, aux.loss_ce: 0.1409, aux.acc_seg: 86.3690, loss: 0.3796 2024-03-04 21:46:35,256 - mmseg - INFO - Iter [60100/160000] lr: 2.150e-05, eta: 19:31:16, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2184, decode.acc_seg: 91.1305, aux.loss_ce: 0.1226, aux.acc_seg: 88.1954, loss: 0.3410 2024-03-04 21:47:09,643 - mmseg - INFO - Iter [60150/160000] lr: 2.149e-05, eta: 19:30:39, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2273, decode.acc_seg: 90.5228, aux.loss_ce: 0.1336, aux.acc_seg: 86.7836, loss: 0.3610 2024-03-04 21:47:43,779 - mmseg - INFO - Iter [60200/160000] lr: 2.148e-05, eta: 19:30:03, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2191, decode.acc_seg: 90.8714, aux.loss_ce: 0.1275, aux.acc_seg: 87.3444, loss: 0.3466 2024-03-04 21:48:18,036 - mmseg - INFO - Iter [60250/160000] lr: 2.147e-05, eta: 19:29:26, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2415, decode.acc_seg: 90.0061, aux.loss_ce: 0.1371, aux.acc_seg: 86.4962, loss: 0.3786 2024-03-04 21:48:52,372 - mmseg - INFO - Iter [60300/160000] lr: 2.146e-05, eta: 19:28:49, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2139, decode.acc_seg: 91.3715, aux.loss_ce: 0.1272, aux.acc_seg: 87.5567, loss: 0.3412 2024-03-04 21:49:26,689 - mmseg - INFO - Iter [60350/160000] lr: 2.145e-05, eta: 19:28:13, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2292, decode.acc_seg: 90.4806, aux.loss_ce: 0.1341, aux.acc_seg: 87.0962, loss: 0.3634 2024-03-04 21:50:01,016 - mmseg - INFO - Iter [60400/160000] lr: 2.144e-05, eta: 19:27:36, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2312, decode.acc_seg: 90.5806, aux.loss_ce: 0.1334, aux.acc_seg: 87.1414, loss: 0.3646 2024-03-04 21:50:35,542 - mmseg - INFO - Iter [60450/160000] lr: 2.143e-05, eta: 19:27:00, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2347, decode.acc_seg: 90.3363, aux.loss_ce: 0.1375, aux.acc_seg: 86.8494, loss: 0.3722 2024-03-04 21:51:09,894 - mmseg - INFO - Iter [60500/160000] lr: 2.142e-05, eta: 19:26:23, time: 0.687, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2238, decode.acc_seg: 90.6618, aux.loss_ce: 0.1292, aux.acc_seg: 87.4282, loss: 0.3529 2024-03-04 21:51:44,098 - mmseg - INFO - Iter [60550/160000] lr: 2.141e-05, eta: 19:25:47, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2275, decode.acc_seg: 90.6430, aux.loss_ce: 0.1323, aux.acc_seg: 86.7991, loss: 0.3597 2024-03-04 21:52:18,440 - mmseg - INFO - Iter [60600/160000] lr: 2.139e-05, eta: 19:25:10, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2290, decode.acc_seg: 90.6370, aux.loss_ce: 0.1316, aux.acc_seg: 87.3119, loss: 0.3606 2024-03-04 21:52:55,766 - mmseg - INFO - Iter [60650/160000] lr: 2.138e-05, eta: 19:24:39, time: 0.746, data_time: 0.065, memory: 9361, decode.loss_ce: 0.2100, decode.acc_seg: 91.2436, aux.loss_ce: 0.1235, aux.acc_seg: 87.9213, loss: 0.3335 2024-03-04 21:53:30,007 - mmseg - INFO - Iter [60700/160000] lr: 2.137e-05, eta: 19:24:02, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2068, decode.acc_seg: 91.3815, aux.loss_ce: 0.1240, aux.acc_seg: 87.8961, loss: 0.3308 2024-03-04 21:54:04,178 - mmseg - INFO - Iter [60750/160000] lr: 2.136e-05, eta: 19:23:25, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2185, decode.acc_seg: 90.9243, aux.loss_ce: 0.1284, aux.acc_seg: 87.5259, loss: 0.3470 2024-03-04 21:54:38,716 - mmseg - INFO - Iter [60800/160000] lr: 2.135e-05, eta: 19:22:49, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2064, decode.acc_seg: 91.1101, aux.loss_ce: 0.1255, aux.acc_seg: 87.2801, loss: 0.3318 2024-03-04 21:55:13,220 - mmseg - INFO - Iter [60850/160000] lr: 2.134e-05, eta: 19:22:13, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2285, decode.acc_seg: 90.4486, aux.loss_ce: 0.1310, aux.acc_seg: 87.2116, loss: 0.3596 2024-03-04 21:55:47,552 - mmseg - INFO - Iter [60900/160000] lr: 2.133e-05, eta: 19:21:36, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2344, decode.acc_seg: 90.4542, aux.loss_ce: 0.1394, aux.acc_seg: 86.7806, loss: 0.3738 2024-03-04 21:56:21,992 - mmseg - INFO - Iter [60950/160000] lr: 2.132e-05, eta: 19:21:00, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2257, decode.acc_seg: 90.4771, aux.loss_ce: 0.1372, aux.acc_seg: 86.2215, loss: 0.3629 2024-03-04 21:56:56,318 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 21:56:56,319 - mmseg - INFO - Iter [61000/160000] lr: 2.131e-05, eta: 19:20:23, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2241, decode.acc_seg: 90.8726, aux.loss_ce: 0.1334, aux.acc_seg: 87.2619, loss: 0.3575 2024-03-04 21:57:30,811 - mmseg - INFO - Iter [61050/160000] lr: 2.130e-05, eta: 19:19:47, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2274, decode.acc_seg: 90.7731, aux.loss_ce: 0.1284, aux.acc_seg: 87.7007, loss: 0.3558 2024-03-04 21:58:05,009 - mmseg - INFO - Iter [61100/160000] lr: 2.129e-05, eta: 19:19:10, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2186, decode.acc_seg: 91.1757, aux.loss_ce: 0.1217, aux.acc_seg: 88.4731, loss: 0.3403 2024-03-04 21:58:39,671 - mmseg - INFO - Iter [61150/160000] lr: 2.128e-05, eta: 19:18:34, time: 0.693, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2247, decode.acc_seg: 90.7335, aux.loss_ce: 0.1296, aux.acc_seg: 87.2549, loss: 0.3544 2024-03-04 21:59:13,989 - mmseg - INFO - Iter [61200/160000] lr: 2.127e-05, eta: 19:17:58, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2244, decode.acc_seg: 90.5978, aux.loss_ce: 0.1271, aux.acc_seg: 87.5279, loss: 0.3515 2024-03-04 21:59:48,487 - mmseg - INFO - Iter [61250/160000] lr: 2.125e-05, eta: 19:17:22, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2152, decode.acc_seg: 91.0047, aux.loss_ce: 0.1282, aux.acc_seg: 87.5287, loss: 0.3434 2024-03-04 22:00:22,967 - mmseg - INFO - Iter [61300/160000] lr: 2.124e-05, eta: 19:16:45, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2163, decode.acc_seg: 91.0404, aux.loss_ce: 0.1261, aux.acc_seg: 87.6475, loss: 0.3424 2024-03-04 22:00:57,384 - mmseg - INFO - Iter [61350/160000] lr: 2.123e-05, eta: 19:16:09, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2271, decode.acc_seg: 90.4472, aux.loss_ce: 0.1376, aux.acc_seg: 86.5689, loss: 0.3646 2024-03-04 22:01:31,616 - mmseg - INFO - Iter [61400/160000] lr: 2.122e-05, eta: 19:15:32, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2226, decode.acc_seg: 90.8015, aux.loss_ce: 0.1277, aux.acc_seg: 87.5723, loss: 0.3503 2024-03-04 22:02:05,914 - mmseg - INFO - Iter [61450/160000] lr: 2.121e-05, eta: 19:14:56, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2222, decode.acc_seg: 90.7418, aux.loss_ce: 0.1288, aux.acc_seg: 87.3286, loss: 0.3510 2024-03-04 22:02:40,135 - mmseg - INFO - Iter [61500/160000] lr: 2.120e-05, eta: 19:14:19, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2315, decode.acc_seg: 90.2871, aux.loss_ce: 0.1327, aux.acc_seg: 87.0916, loss: 0.3643 2024-03-04 22:03:14,669 - mmseg - INFO - Iter [61550/160000] lr: 2.119e-05, eta: 19:13:43, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2281, decode.acc_seg: 90.6948, aux.loss_ce: 0.1331, aux.acc_seg: 87.1806, loss: 0.3612 2024-03-04 22:03:48,978 - mmseg - INFO - Iter [61600/160000] lr: 2.118e-05, eta: 19:13:06, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2242, decode.acc_seg: 90.5680, aux.loss_ce: 0.1304, aux.acc_seg: 87.1857, loss: 0.3546 2024-03-04 22:04:23,242 - mmseg - INFO - Iter [61650/160000] lr: 2.117e-05, eta: 19:12:30, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2210, decode.acc_seg: 90.8822, aux.loss_ce: 0.1324, aux.acc_seg: 87.2175, loss: 0.3534 2024-03-04 22:04:57,719 - mmseg - INFO - Iter [61700/160000] lr: 2.116e-05, eta: 19:11:54, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2190, decode.acc_seg: 90.8048, aux.loss_ce: 0.1263, aux.acc_seg: 87.7371, loss: 0.3453 2024-03-04 22:05:32,070 - mmseg - INFO - Iter [61750/160000] lr: 2.115e-05, eta: 19:11:17, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2220, decode.acc_seg: 90.7164, aux.loss_ce: 0.1309, aux.acc_seg: 86.9772, loss: 0.3529 2024-03-04 22:06:06,270 - mmseg - INFO - Iter [61800/160000] lr: 2.114e-05, eta: 19:10:41, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2228, decode.acc_seg: 90.8960, aux.loss_ce: 0.1295, aux.acc_seg: 87.6008, loss: 0.3523 2024-03-04 22:06:40,665 - mmseg - INFO - Iter [61850/160000] lr: 2.113e-05, eta: 19:10:04, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2380, decode.acc_seg: 90.1463, aux.loss_ce: 0.1355, aux.acc_seg: 86.8656, loss: 0.3734 2024-03-04 22:07:18,235 - mmseg - INFO - Iter [61900/160000] lr: 2.111e-05, eta: 19:09:33, time: 0.752, data_time: 0.070, memory: 9361, decode.loss_ce: 0.2401, decode.acc_seg: 90.0477, aux.loss_ce: 0.1357, aux.acc_seg: 87.0500, loss: 0.3758 2024-03-04 22:07:52,468 - mmseg - INFO - Iter [61950/160000] lr: 2.110e-05, eta: 19:08:56, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2245, decode.acc_seg: 90.6455, aux.loss_ce: 0.1279, aux.acc_seg: 87.4183, loss: 0.3524 2024-03-04 22:08:26,863 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 22:08:26,863 - mmseg - INFO - Iter [62000/160000] lr: 2.109e-05, eta: 19:08:20, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2078, decode.acc_seg: 91.2740, aux.loss_ce: 0.1237, aux.acc_seg: 87.7425, loss: 0.3315 2024-03-04 22:09:01,200 - mmseg - INFO - Iter [62050/160000] lr: 2.108e-05, eta: 19:07:43, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2253, decode.acc_seg: 90.5728, aux.loss_ce: 0.1329, aux.acc_seg: 87.0576, loss: 0.3582 2024-03-04 22:09:35,532 - mmseg - INFO - Iter [62100/160000] lr: 2.107e-05, eta: 19:07:07, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2219, decode.acc_seg: 90.7012, aux.loss_ce: 0.1288, aux.acc_seg: 87.3553, loss: 0.3507 2024-03-04 22:10:09,969 - mmseg - INFO - Iter [62150/160000] lr: 2.106e-05, eta: 19:06:31, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2140, decode.acc_seg: 90.9196, aux.loss_ce: 0.1244, aux.acc_seg: 87.7071, loss: 0.3384 2024-03-04 22:10:44,253 - mmseg - INFO - Iter [62200/160000] lr: 2.105e-05, eta: 19:05:54, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2349, decode.acc_seg: 90.4089, aux.loss_ce: 0.1370, aux.acc_seg: 86.8830, loss: 0.3718 2024-03-04 22:11:18,567 - mmseg - INFO - Iter [62250/160000] lr: 2.104e-05, eta: 19:05:18, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2169, decode.acc_seg: 90.8916, aux.loss_ce: 0.1278, aux.acc_seg: 87.5834, loss: 0.3447 2024-03-04 22:11:52,952 - mmseg - INFO - Iter [62300/160000] lr: 2.103e-05, eta: 19:04:41, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2201, decode.acc_seg: 90.8726, aux.loss_ce: 0.1286, aux.acc_seg: 87.5868, loss: 0.3487 2024-03-04 22:12:27,251 - mmseg - INFO - Iter [62350/160000] lr: 2.102e-05, eta: 19:04:05, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2249, decode.acc_seg: 90.5782, aux.loss_ce: 0.1324, aux.acc_seg: 87.0524, loss: 0.3573 2024-03-04 22:13:01,720 - mmseg - INFO - Iter [62400/160000] lr: 2.101e-05, eta: 19:03:29, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2068, decode.acc_seg: 91.4988, aux.loss_ce: 0.1206, aux.acc_seg: 88.4443, loss: 0.3274 2024-03-04 22:13:36,015 - mmseg - INFO - Iter [62450/160000] lr: 2.100e-05, eta: 19:02:52, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2256, decode.acc_seg: 90.7917, aux.loss_ce: 0.1292, aux.acc_seg: 87.3240, loss: 0.3547 2024-03-04 22:14:10,381 - mmseg - INFO - Iter [62500/160000] lr: 2.099e-05, eta: 19:02:16, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2081, decode.acc_seg: 91.1799, aux.loss_ce: 0.1215, aux.acc_seg: 87.9428, loss: 0.3296 2024-03-04 22:14:44,777 - mmseg - INFO - Iter [62550/160000] lr: 2.097e-05, eta: 19:01:39, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2221, decode.acc_seg: 90.9439, aux.loss_ce: 0.1298, aux.acc_seg: 87.5419, loss: 0.3519 2024-03-04 22:15:18,999 - mmseg - INFO - Iter [62600/160000] lr: 2.096e-05, eta: 19:01:03, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2076, decode.acc_seg: 91.2882, aux.loss_ce: 0.1218, aux.acc_seg: 88.0610, loss: 0.3294 2024-03-04 22:15:53,370 - mmseg - INFO - Iter [62650/160000] lr: 2.095e-05, eta: 19:00:27, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2279, decode.acc_seg: 90.6509, aux.loss_ce: 0.1328, aux.acc_seg: 87.2373, loss: 0.3607 2024-03-04 22:16:27,789 - mmseg - INFO - Iter [62700/160000] lr: 2.094e-05, eta: 18:59:50, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2164, decode.acc_seg: 90.9386, aux.loss_ce: 0.1278, aux.acc_seg: 87.4480, loss: 0.3442 2024-03-04 22:17:02,261 - mmseg - INFO - Iter [62750/160000] lr: 2.093e-05, eta: 18:59:14, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2121, decode.acc_seg: 90.8880, aux.loss_ce: 0.1245, aux.acc_seg: 87.7174, loss: 0.3367 2024-03-04 22:17:36,512 - mmseg - INFO - Iter [62800/160000] lr: 2.092e-05, eta: 18:58:38, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2217, decode.acc_seg: 90.6695, aux.loss_ce: 0.1307, aux.acc_seg: 86.9930, loss: 0.3524 2024-03-04 22:18:10,980 - mmseg - INFO - Iter [62850/160000] lr: 2.091e-05, eta: 18:58:01, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2240, decode.acc_seg: 90.7006, aux.loss_ce: 0.1299, aux.acc_seg: 87.3396, loss: 0.3540 2024-03-04 22:18:45,504 - mmseg - INFO - Iter [62900/160000] lr: 2.090e-05, eta: 18:57:25, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2072, decode.acc_seg: 91.3763, aux.loss_ce: 0.1279, aux.acc_seg: 87.5687, loss: 0.3350 2024-03-04 22:19:20,024 - mmseg - INFO - Iter [62950/160000] lr: 2.089e-05, eta: 18:56:49, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2164, decode.acc_seg: 90.9607, aux.loss_ce: 0.1273, aux.acc_seg: 87.4559, loss: 0.3437 2024-03-04 22:19:54,392 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 22:19:54,393 - mmseg - INFO - Iter [63000/160000] lr: 2.088e-05, eta: 18:56:13, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2087, decode.acc_seg: 91.1593, aux.loss_ce: 0.1261, aux.acc_seg: 87.8092, loss: 0.3348 2024-03-04 22:20:28,845 - mmseg - INFO - Iter [63050/160000] lr: 2.087e-05, eta: 18:55:37, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2258, decode.acc_seg: 90.8846, aux.loss_ce: 0.1329, aux.acc_seg: 87.0938, loss: 0.3587 2024-03-04 22:21:03,322 - mmseg - INFO - Iter [63100/160000] lr: 2.086e-05, eta: 18:55:00, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2209, decode.acc_seg: 90.9564, aux.loss_ce: 0.1288, aux.acc_seg: 87.6189, loss: 0.3497 2024-03-04 22:21:37,611 - mmseg - INFO - Iter [63150/160000] lr: 2.085e-05, eta: 18:54:24, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2250, decode.acc_seg: 90.9009, aux.loss_ce: 0.1287, aux.acc_seg: 87.3467, loss: 0.3537 2024-03-04 22:22:15,152 - mmseg - INFO - Iter [63200/160000] lr: 2.083e-05, eta: 18:53:53, time: 0.751, data_time: 0.067, memory: 9361, decode.loss_ce: 0.2046, decode.acc_seg: 91.5286, aux.loss_ce: 0.1250, aux.acc_seg: 87.7720, loss: 0.3295 2024-03-04 22:22:49,732 - mmseg - INFO - Iter [63250/160000] lr: 2.082e-05, eta: 18:53:17, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2083, decode.acc_seg: 91.3689, aux.loss_ce: 0.1242, aux.acc_seg: 88.0147, loss: 0.3325 2024-03-04 22:23:23,991 - mmseg - INFO - Iter [63300/160000] lr: 2.081e-05, eta: 18:52:40, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2170, decode.acc_seg: 91.0271, aux.loss_ce: 0.1235, aux.acc_seg: 88.1271, loss: 0.3405 2024-03-04 22:23:58,376 - mmseg - INFO - Iter [63350/160000] lr: 2.080e-05, eta: 18:52:04, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2134, decode.acc_seg: 91.2855, aux.loss_ce: 0.1247, aux.acc_seg: 87.8162, loss: 0.3381 2024-03-04 22:24:33,003 - mmseg - INFO - Iter [63400/160000] lr: 2.079e-05, eta: 18:51:28, time: 0.693, data_time: 0.013, memory: 9361, decode.loss_ce: 0.2166, decode.acc_seg: 91.0985, aux.loss_ce: 0.1258, aux.acc_seg: 87.9270, loss: 0.3424 2024-03-04 22:25:07,338 - mmseg - INFO - Iter [63450/160000] lr: 2.078e-05, eta: 18:50:52, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2043, decode.acc_seg: 91.2565, aux.loss_ce: 0.1186, aux.acc_seg: 88.1106, loss: 0.3230 2024-03-04 22:25:41,587 - mmseg - INFO - Iter [63500/160000] lr: 2.077e-05, eta: 18:50:15, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2176, decode.acc_seg: 90.6957, aux.loss_ce: 0.1202, aux.acc_seg: 87.9673, loss: 0.3377 2024-03-04 22:26:15,875 - mmseg - INFO - Iter [63550/160000] lr: 2.076e-05, eta: 18:49:39, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2350, decode.acc_seg: 90.8449, aux.loss_ce: 0.1366, aux.acc_seg: 87.4563, loss: 0.3717 2024-03-04 22:26:50,077 - mmseg - INFO - Iter [63600/160000] lr: 2.075e-05, eta: 18:49:02, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2067, decode.acc_seg: 91.7264, aux.loss_ce: 0.1221, aux.acc_seg: 88.3839, loss: 0.3288 2024-03-04 22:27:24,437 - mmseg - INFO - Iter [63650/160000] lr: 2.074e-05, eta: 18:48:26, time: 0.687, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2153, decode.acc_seg: 91.1198, aux.loss_ce: 0.1284, aux.acc_seg: 87.4139, loss: 0.3437 2024-03-04 22:27:58,715 - mmseg - INFO - Iter [63700/160000] lr: 2.073e-05, eta: 18:47:49, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2174, decode.acc_seg: 91.0700, aux.loss_ce: 0.1306, aux.acc_seg: 87.1208, loss: 0.3480 2024-03-04 22:28:33,027 - mmseg - INFO - Iter [63750/160000] lr: 2.072e-05, eta: 18:47:13, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2247, decode.acc_seg: 90.9226, aux.loss_ce: 0.1272, aux.acc_seg: 87.8147, loss: 0.3519 2024-03-04 22:29:07,466 - mmseg - INFO - Iter [63800/160000] lr: 2.071e-05, eta: 18:46:37, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2305, decode.acc_seg: 90.4922, aux.loss_ce: 0.1305, aux.acc_seg: 87.2667, loss: 0.3610 2024-03-04 22:29:41,823 - mmseg - INFO - Iter [63850/160000] lr: 2.069e-05, eta: 18:46:00, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2196, decode.acc_seg: 90.7125, aux.loss_ce: 0.1248, aux.acc_seg: 87.4607, loss: 0.3444 2024-03-04 22:30:16,183 - mmseg - INFO - Iter [63900/160000] lr: 2.068e-05, eta: 18:45:24, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2147, decode.acc_seg: 91.0037, aux.loss_ce: 0.1245, aux.acc_seg: 87.7241, loss: 0.3391 2024-03-04 22:30:50,702 - mmseg - INFO - Iter [63950/160000] lr: 2.067e-05, eta: 18:44:48, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2074, decode.acc_seg: 91.4369, aux.loss_ce: 0.1209, aux.acc_seg: 88.2399, loss: 0.3283 2024-03-04 22:31:25,184 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 22:31:25,185 - mmseg - INFO - Iter [64000/160000] lr: 2.066e-05, eta: 18:44:12, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2310, decode.acc_seg: 90.3237, aux.loss_ce: 0.1378, aux.acc_seg: 86.3876, loss: 0.3688 2024-03-04 22:34:35,783 - mmseg - INFO - per class results: 2024-03-04 22:34:35,792 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 76.41 | 86.44 | | building | 80.2 | 92.02 | | sky | 93.8 | 97.55 | | floor | 81.0 | 89.25 | | tree | 74.03 | 86.29 | | ceiling | 81.26 | 92.82 | | road | 81.62 | 91.51 | | bed | 89.98 | 95.27 | | windowpane | 62.49 | 77.79 | | grass | 66.77 | 80.58 | | cabinet | 61.66 | 75.32 | | sidewalk | 60.24 | 74.95 | | person | 80.46 | 93.17 | | earth | 33.22 | 45.39 | | door | 47.35 | 62.59 | | table | 58.71 | 76.67 | | mountain | 56.76 | 74.7 | | plant | 51.3 | 65.27 | | curtain | 75.25 | 85.6 | | chair | 55.36 | 65.69 | | car | 83.99 | 91.72 | | water | 53.45 | 73.17 | | painting | 72.53 | 85.79 | | sofa | 68.48 | 83.37 | | shelf | 44.51 | 61.73 | | house | 42.49 | 63.76 | | sea | 51.23 | 70.28 | | mirror | 63.97 | 71.65 | | rug | 57.16 | 72.61 | | field | 26.85 | 41.04 | | armchair | 44.72 | 66.43 | | seat | 64.15 | 81.06 | | fence | 43.2 | 61.48 | | desk | 51.01 | 69.16 | | rock | 42.69 | 61.11 | | wardrobe | 52.67 | 68.1 | | lamp | 64.14 | 76.32 | | bathtub | 77.86 | 82.82 | | railing | 30.6 | 42.95 | | cushion | 57.16 | 75.49 | | base | 27.0 | 37.41 | | box | 25.34 | 31.75 | | column | 40.29 | 48.16 | | signboard | 36.24 | 47.69 | | chest of drawers | 40.31 | 50.86 | | counter | 30.17 | 41.94 | | sand | 37.49 | 64.72 | | sink | 71.05 | 79.7 | | skyscraper | 39.85 | 49.92 | | fireplace | 68.0 | 87.98 | | refrigerator | 65.71 | 82.01 | | grandstand | 36.7 | 72.27 | | path | 12.21 | 17.93 | | stairs | 26.77 | 32.21 | | runway | 69.15 | 95.85 | | case | 60.36 | 74.0 | | pool table | 92.33 | 95.65 | | pillow | 56.05 | 65.17 | | screen door | 67.08 | 80.4 | | stairway | 29.28 | 39.04 | | river | 14.07 | 24.34 | | bridge | 53.4 | 57.11 | | bookcase | 32.7 | 43.94 | | blind | 44.82 | 50.82 | | coffee table | 57.91 | 82.51 | | toilet | 85.44 | 91.38 | | flower | 36.81 | 49.29 | | book | 46.63 | 66.73 | | hill | 6.35 | 9.97 | | bench | 39.2 | 52.59 | | countertop | 55.93 | 70.4 | | stove | 73.02 | 83.88 | | palm | 46.14 | 83.92 | | kitchen island | 41.26 | 70.31 | | computer | 68.08 | 81.02 | | swivel chair | 41.88 | 67.87 | | boat | 60.59 | 77.69 | | bar | 24.35 | 32.97 | | arcade machine | 73.41 | 79.5 | | hovel | 14.59 | 15.99 | | bus | 81.17 | 96.71 | | towel | 56.64 | 75.47 | | light | 52.69 | 62.71 | | truck | 34.03 | 44.77 | | tower | 19.85 | 32.73 | | chandelier | 64.24 | 79.27 | | awning | 24.56 | 28.75 | | streetlight | 26.79 | 34.27 | | booth | 55.39 | 79.48 | | television receiver | 68.49 | 77.66 | | airplane | 38.42 | 63.73 | | dirt track | 13.1 | 49.67 | | apparel | 36.85 | 54.45 | | pole | 18.98 | 24.83 | | land | 5.68 | 11.86 | | bannister | 15.93 | 21.8 | | escalator | 25.58 | 31.67 | | ottoman | 50.98 | 62.5 | | bottle | 20.08 | 23.53 | | buffet | 42.87 | 48.3 | | poster | 32.86 | 54.04 | | stage | 16.63 | 25.55 | | van | 39.33 | 55.69 | | ship | 85.35 | 93.97 | | fountain | 20.58 | 21.37 | | conveyer belt | 71.04 | 87.84 | | canopy | 10.78 | 13.73 | | washer | 74.8 | 76.7 | | plaything | 19.48 | 23.49 | | swimming pool | 49.29 | 76.26 | | stool | 38.82 | 63.86 | | barrel | 46.26 | 71.54 | | basket | 28.42 | 34.0 | | waterfall | 49.76 | 57.95 | | tent | 96.27 | 98.59 | | bag | 14.96 | 18.39 | | minibike | 69.46 | 80.24 | | cradle | 68.45 | 92.53 | | oven | 34.52 | 74.42 | | ball | 48.3 | 66.13 | | food | 40.23 | 48.42 | | step | 7.9 | 10.56 | | tank | 46.98 | 52.53 | | trade name | 29.26 | 35.74 | | microwave | 47.8 | 52.07 | | pot | 39.7 | 47.42 | | animal | 57.5 | 59.26 | | bicycle | 52.71 | 75.82 | | lake | 52.71 | 54.95 | | dishwasher | 63.64 | 71.72 | | screen | 70.63 | 82.61 | | blanket | 12.13 | 14.0 | | sculpture | 45.62 | 72.51 | | hood | 56.28 | 68.32 | | sconce | 47.61 | 58.03 | | vase | 37.73 | 53.0 | | traffic light | 30.13 | 49.33 | | tray | 4.73 | 9.84 | | ashcan | 44.23 | 62.37 | | fan | 54.78 | 65.48 | | pier | 30.45 | 44.41 | | crt screen | 6.67 | 13.15 | | plate | 50.54 | 70.09 | | monitor | 24.93 | 33.57 | | bulletin board | 43.69 | 49.54 | | shower | 1.97 | 2.01 | | radiator | 56.43 | 64.1 | | glass | 13.35 | 14.46 | | clock | 38.18 | 44.88 | | flag | 33.21 | 38.39 | +---------------------+-------+-------+ 2024-03-04 22:34:35,792 - mmseg - INFO - Summary: 2024-03-04 22:34:35,792 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 82.17 | 47.45 | 60.03 | +-------+-------+-------+ 2024-03-04 22:34:35,803 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 22:34:35,804 - mmseg - INFO - Iter(val) [500] aAcc: 0.8217, mIoU: 0.4745, mAcc: 0.6003, IoU.wall: 0.7641, IoU.building: 0.8020, IoU.sky: 0.9380, IoU.floor: 0.8100, IoU.tree: 0.7403, IoU.ceiling: 0.8126, IoU.road: 0.8162, IoU.bed : 0.8998, IoU.windowpane: 0.6249, IoU.grass: 0.6677, IoU.cabinet: 0.6166, IoU.sidewalk: 0.6024, IoU.person: 0.8046, IoU.earth: 0.3322, IoU.door: 0.4735, IoU.table: 0.5871, IoU.mountain: 0.5676, IoU.plant: 0.5130, IoU.curtain: 0.7525, IoU.chair: 0.5536, IoU.car: 0.8399, IoU.water: 0.5345, IoU.painting: 0.7253, IoU.sofa: 0.6848, IoU.shelf: 0.4451, IoU.house: 0.4249, IoU.sea: 0.5123, IoU.mirror: 0.6397, IoU.rug: 0.5716, IoU.field: 0.2685, IoU.armchair: 0.4472, IoU.seat: 0.6415, IoU.fence: 0.4320, IoU.desk: 0.5101, IoU.rock: 0.4269, IoU.wardrobe: 0.5267, IoU.lamp: 0.6414, IoU.bathtub: 0.7786, IoU.railing: 0.3060, IoU.cushion: 0.5716, IoU.base: 0.2700, IoU.box: 0.2534, IoU.column: 0.4029, IoU.signboard: 0.3624, IoU.chest of drawers: 0.4031, IoU.counter: 0.3017, IoU.sand: 0.3749, IoU.sink: 0.7105, IoU.skyscraper: 0.3985, IoU.fireplace: 0.6800, IoU.refrigerator: 0.6571, IoU.grandstand: 0.3670, IoU.path: 0.1221, IoU.stairs: 0.2677, IoU.runway: 0.6915, IoU.case: 0.6036, IoU.pool table: 0.9233, IoU.pillow: 0.5605, IoU.screen door: 0.6708, IoU.stairway: 0.2928, IoU.river: 0.1407, IoU.bridge: 0.5340, IoU.bookcase: 0.3270, IoU.blind: 0.4482, IoU.coffee table: 0.5791, IoU.toilet: 0.8544, IoU.flower: 0.3681, IoU.book: 0.4663, IoU.hill: 0.0635, IoU.bench: 0.3920, IoU.countertop: 0.5593, IoU.stove: 0.7302, IoU.palm: 0.4614, IoU.kitchen island: 0.4126, IoU.computer: 0.6808, IoU.swivel chair: 0.4188, IoU.boat: 0.6059, IoU.bar: 0.2435, IoU.arcade machine: 0.7341, IoU.hovel: 0.1459, IoU.bus: 0.8117, IoU.towel: 0.5664, IoU.light: 0.5269, IoU.truck: 0.3403, IoU.tower: 0.1985, IoU.chandelier: 0.6424, IoU.awning: 0.2456, IoU.streetlight: 0.2679, IoU.booth: 0.5539, IoU.television receiver: 0.6849, IoU.airplane: 0.3842, IoU.dirt track: 0.1310, IoU.apparel: 0.3685, IoU.pole: 0.1898, IoU.land: 0.0568, IoU.bannister: 0.1593, IoU.escalator: 0.2558, IoU.ottoman: 0.5098, IoU.bottle: 0.2008, IoU.buffet: 0.4287, IoU.poster: 0.3286, IoU.stage: 0.1663, IoU.van: 0.3933, IoU.ship: 0.8535, IoU.fountain: 0.2058, IoU.conveyer belt: 0.7104, IoU.canopy: 0.1078, IoU.washer: 0.7480, IoU.plaything: 0.1948, IoU.swimming pool: 0.4929, IoU.stool: 0.3882, IoU.barrel: 0.4626, IoU.basket: 0.2842, IoU.waterfall: 0.4976, IoU.tent: 0.9627, IoU.bag: 0.1496, IoU.minibike: 0.6946, IoU.cradle: 0.6845, IoU.oven: 0.3452, IoU.ball: 0.4830, IoU.food: 0.4023, IoU.step: 0.0790, IoU.tank: 0.4698, IoU.trade name: 0.2926, IoU.microwave: 0.4780, IoU.pot: 0.3970, IoU.animal: 0.5750, IoU.bicycle: 0.5271, IoU.lake: 0.5271, IoU.dishwasher: 0.6364, IoU.screen: 0.7063, IoU.blanket: 0.1213, IoU.sculpture: 0.4562, IoU.hood: 0.5628, IoU.sconce: 0.4761, IoU.vase: 0.3773, IoU.traffic light: 0.3013, IoU.tray: 0.0473, IoU.ashcan: 0.4423, IoU.fan: 0.5478, IoU.pier: 0.3045, IoU.crt screen: 0.0667, IoU.plate: 0.5054, IoU.monitor: 0.2493, IoU.bulletin board: 0.4369, IoU.shower: 0.0197, IoU.radiator: 0.5643, IoU.glass: 0.1335, IoU.clock: 0.3818, IoU.flag: 0.3321, Acc.wall: 0.8644, Acc.building: 0.9202, Acc.sky: 0.9755, Acc.floor: 0.8925, Acc.tree: 0.8629, Acc.ceiling: 0.9282, Acc.road: 0.9151, Acc.bed : 0.9527, Acc.windowpane: 0.7779, Acc.grass: 0.8058, Acc.cabinet: 0.7532, Acc.sidewalk: 0.7495, Acc.person: 0.9317, Acc.earth: 0.4539, Acc.door: 0.6259, Acc.table: 0.7667, Acc.mountain: 0.7470, Acc.plant: 0.6527, Acc.curtain: 0.8560, Acc.chair: 0.6569, Acc.car: 0.9172, Acc.water: 0.7317, Acc.painting: 0.8579, Acc.sofa: 0.8337, Acc.shelf: 0.6173, Acc.house: 0.6376, Acc.sea: 0.7028, Acc.mirror: 0.7165, Acc.rug: 0.7261, Acc.field: 0.4104, Acc.armchair: 0.6643, Acc.seat: 0.8106, Acc.fence: 0.6148, Acc.desk: 0.6916, Acc.rock: 0.6111, Acc.wardrobe: 0.6810, Acc.lamp: 0.7632, Acc.bathtub: 0.8282, Acc.railing: 0.4295, Acc.cushion: 0.7549, Acc.base: 0.3741, Acc.box: 0.3175, Acc.column: 0.4816, Acc.signboard: 0.4769, Acc.chest of drawers: 0.5086, Acc.counter: 0.4194, Acc.sand: 0.6472, Acc.sink: 0.7970, Acc.skyscraper: 0.4992, Acc.fireplace: 0.8798, Acc.refrigerator: 0.8201, Acc.grandstand: 0.7227, Acc.path: 0.1793, Acc.stairs: 0.3221, Acc.runway: 0.9585, Acc.case: 0.7400, Acc.pool table: 0.9565, Acc.pillow: 0.6517, Acc.screen door: 0.8040, Acc.stairway: 0.3904, Acc.river: 0.2434, Acc.bridge: 0.5711, Acc.bookcase: 0.4394, Acc.blind: 0.5082, Acc.coffee table: 0.8251, Acc.toilet: 0.9138, Acc.flower: 0.4929, Acc.book: 0.6673, Acc.hill: 0.0997, Acc.bench: 0.5259, Acc.countertop: 0.7040, Acc.stove: 0.8388, Acc.palm: 0.8392, Acc.kitchen island: 0.7031, Acc.computer: 0.8102, Acc.swivel chair: 0.6787, Acc.boat: 0.7769, Acc.bar: 0.3297, Acc.arcade machine: 0.7950, Acc.hovel: 0.1599, Acc.bus: 0.9671, Acc.towel: 0.7547, Acc.light: 0.6271, Acc.truck: 0.4477, Acc.tower: 0.3273, Acc.chandelier: 0.7927, Acc.awning: 0.2875, Acc.streetlight: 0.3427, Acc.booth: 0.7948, Acc.television receiver: 0.7766, Acc.airplane: 0.6373, Acc.dirt track: 0.4967, Acc.apparel: 0.5445, Acc.pole: 0.2483, Acc.land: 0.1186, Acc.bannister: 0.2180, Acc.escalator: 0.3167, Acc.ottoman: 0.6250, Acc.bottle: 0.2353, Acc.buffet: 0.4830, Acc.poster: 0.5404, Acc.stage: 0.2555, Acc.van: 0.5569, Acc.ship: 0.9397, Acc.fountain: 0.2137, Acc.conveyer belt: 0.8784, Acc.canopy: 0.1373, Acc.washer: 0.7670, Acc.plaything: 0.2349, Acc.swimming pool: 0.7626, Acc.stool: 0.6386, Acc.barrel: 0.7154, Acc.basket: 0.3400, Acc.waterfall: 0.5795, Acc.tent: 0.9859, Acc.bag: 0.1839, Acc.minibike: 0.8024, Acc.cradle: 0.9253, Acc.oven: 0.7442, Acc.ball: 0.6613, Acc.food: 0.4842, Acc.step: 0.1056, Acc.tank: 0.5253, Acc.trade name: 0.3574, Acc.microwave: 0.5207, Acc.pot: 0.4742, Acc.animal: 0.5926, Acc.bicycle: 0.7582, Acc.lake: 0.5495, Acc.dishwasher: 0.7172, Acc.screen: 0.8261, Acc.blanket: 0.1400, Acc.sculpture: 0.7251, Acc.hood: 0.6832, Acc.sconce: 0.5803, Acc.vase: 0.5300, Acc.traffic light: 0.4933, Acc.tray: 0.0984, Acc.ashcan: 0.6237, Acc.fan: 0.6548, Acc.pier: 0.4441, Acc.crt screen: 0.1315, Acc.plate: 0.7009, Acc.monitor: 0.3357, Acc.bulletin board: 0.4954, Acc.shower: 0.0201, Acc.radiator: 0.6410, Acc.glass: 0.1446, Acc.clock: 0.4488, Acc.flag: 0.3839 2024-03-04 22:35:10,130 - mmseg - INFO - Iter [64050/160000] lr: 2.065e-05, eta: 18:48:21, time: 4.499, data_time: 3.821, memory: 9361, decode.loss_ce: 0.2174, decode.acc_seg: 90.9106, aux.loss_ce: 0.1271, aux.acc_seg: 87.5305, loss: 0.3445 2024-03-04 22:35:44,400 - mmseg - INFO - Iter [64100/160000] lr: 2.064e-05, eta: 18:47:44, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2234, decode.acc_seg: 90.4548, aux.loss_ce: 0.1304, aux.acc_seg: 87.1913, loss: 0.3538 2024-03-04 22:36:18,778 - mmseg - INFO - Iter [64150/160000] lr: 2.063e-05, eta: 18:47:08, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2136, decode.acc_seg: 91.1075, aux.loss_ce: 0.1253, aux.acc_seg: 87.8911, loss: 0.3389 2024-03-04 22:36:53,230 - mmseg - INFO - Iter [64200/160000] lr: 2.062e-05, eta: 18:46:31, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2216, decode.acc_seg: 90.9501, aux.loss_ce: 0.1334, aux.acc_seg: 87.1021, loss: 0.3550 2024-03-04 22:37:27,557 - mmseg - INFO - Iter [64250/160000] lr: 2.061e-05, eta: 18:45:55, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2115, decode.acc_seg: 90.8294, aux.loss_ce: 0.1241, aux.acc_seg: 87.6127, loss: 0.3356 2024-03-04 22:38:02,026 - mmseg - INFO - Iter [64300/160000] lr: 2.060e-05, eta: 18:45:18, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2240, decode.acc_seg: 90.5965, aux.loss_ce: 0.1278, aux.acc_seg: 87.2988, loss: 0.3518 2024-03-04 22:38:36,471 - mmseg - INFO - Iter [64350/160000] lr: 2.059e-05, eta: 18:44:42, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2272, decode.acc_seg: 90.8001, aux.loss_ce: 0.1340, aux.acc_seg: 87.2504, loss: 0.3612 2024-03-04 22:39:10,873 - mmseg - INFO - Iter [64400/160000] lr: 2.058e-05, eta: 18:44:05, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2173, decode.acc_seg: 90.9443, aux.loss_ce: 0.1282, aux.acc_seg: 87.5522, loss: 0.3454 2024-03-04 22:39:48,313 - mmseg - INFO - Iter [64450/160000] lr: 2.057e-05, eta: 18:43:33, time: 0.749, data_time: 0.064, memory: 9361, decode.loss_ce: 0.2214, decode.acc_seg: 90.8100, aux.loss_ce: 0.1281, aux.acc_seg: 87.6108, loss: 0.3495 2024-03-04 22:40:22,719 - mmseg - INFO - Iter [64500/160000] lr: 2.056e-05, eta: 18:42:56, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2248, decode.acc_seg: 90.5500, aux.loss_ce: 0.1319, aux.acc_seg: 87.1878, loss: 0.3566 2024-03-04 22:40:57,171 - mmseg - INFO - Iter [64550/160000] lr: 2.054e-05, eta: 18:42:20, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2039, decode.acc_seg: 91.6149, aux.loss_ce: 0.1220, aux.acc_seg: 88.1625, loss: 0.3259 2024-03-04 22:41:31,508 - mmseg - INFO - Iter [64600/160000] lr: 2.053e-05, eta: 18:41:43, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2106, decode.acc_seg: 91.1644, aux.loss_ce: 0.1276, aux.acc_seg: 87.3508, loss: 0.3382 2024-03-04 22:42:05,955 - mmseg - INFO - Iter [64650/160000] lr: 2.052e-05, eta: 18:41:07, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2153, decode.acc_seg: 90.6986, aux.loss_ce: 0.1261, aux.acc_seg: 87.2843, loss: 0.3414 2024-03-04 22:42:40,375 - mmseg - INFO - Iter [64700/160000] lr: 2.051e-05, eta: 18:40:30, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2153, decode.acc_seg: 90.9242, aux.loss_ce: 0.1261, aux.acc_seg: 87.5245, loss: 0.3414 2024-03-04 22:43:14,833 - mmseg - INFO - Iter [64750/160000] lr: 2.050e-05, eta: 18:39:54, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2128, decode.acc_seg: 91.2130, aux.loss_ce: 0.1233, aux.acc_seg: 88.0502, loss: 0.3361 2024-03-04 22:43:49,052 - mmseg - INFO - Iter [64800/160000] lr: 2.049e-05, eta: 18:39:17, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2101, decode.acc_seg: 90.9335, aux.loss_ce: 0.1214, aux.acc_seg: 87.9113, loss: 0.3315 2024-03-04 22:44:23,530 - mmseg - INFO - Iter [64850/160000] lr: 2.048e-05, eta: 18:38:40, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2099, decode.acc_seg: 91.2891, aux.loss_ce: 0.1201, aux.acc_seg: 88.2012, loss: 0.3301 2024-03-04 22:44:57,874 - mmseg - INFO - Iter [64900/160000] lr: 2.047e-05, eta: 18:38:04, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2060, decode.acc_seg: 91.5250, aux.loss_ce: 0.1195, aux.acc_seg: 88.3324, loss: 0.3255 2024-03-04 22:45:32,189 - mmseg - INFO - Iter [64950/160000] lr: 2.046e-05, eta: 18:37:27, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2180, decode.acc_seg: 91.1439, aux.loss_ce: 0.1334, aux.acc_seg: 87.1086, loss: 0.3514 2024-03-04 22:46:06,652 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 22:46:06,652 - mmseg - INFO - Iter [65000/160000] lr: 2.045e-05, eta: 18:36:51, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2045, decode.acc_seg: 91.5343, aux.loss_ce: 0.1192, aux.acc_seg: 88.5288, loss: 0.3238 2024-03-04 22:46:41,125 - mmseg - INFO - Iter [65050/160000] lr: 2.044e-05, eta: 18:36:14, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2135, decode.acc_seg: 91.1739, aux.loss_ce: 0.1223, aux.acc_seg: 88.2024, loss: 0.3358 2024-03-04 22:47:15,560 - mmseg - INFO - Iter [65100/160000] lr: 2.043e-05, eta: 18:35:38, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2111, decode.acc_seg: 91.0786, aux.loss_ce: 0.1245, aux.acc_seg: 87.7674, loss: 0.3356 2024-03-04 22:47:50,210 - mmseg - INFO - Iter [65150/160000] lr: 2.042e-05, eta: 18:35:02, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1999, decode.acc_seg: 91.6467, aux.loss_ce: 0.1122, aux.acc_seg: 88.7613, loss: 0.3121 2024-03-04 22:48:24,599 - mmseg - INFO - Iter [65200/160000] lr: 2.040e-05, eta: 18:34:25, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2147, decode.acc_seg: 91.1050, aux.loss_ce: 0.1234, aux.acc_seg: 87.9833, loss: 0.3381 2024-03-04 22:48:59,027 - mmseg - INFO - Iter [65250/160000] lr: 2.039e-05, eta: 18:33:49, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2199, decode.acc_seg: 90.8548, aux.loss_ce: 0.1319, aux.acc_seg: 87.1864, loss: 0.3518 2024-03-04 22:49:33,191 - mmseg - INFO - Iter [65300/160000] lr: 2.038e-05, eta: 18:33:12, time: 0.683, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2295, decode.acc_seg: 90.6968, aux.loss_ce: 0.1329, aux.acc_seg: 87.3727, loss: 0.3623 2024-03-04 22:50:07,428 - mmseg - INFO - Iter [65350/160000] lr: 2.037e-05, eta: 18:32:35, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2191, decode.acc_seg: 90.7632, aux.loss_ce: 0.1311, aux.acc_seg: 87.0483, loss: 0.3502 2024-03-04 22:50:41,885 - mmseg - INFO - Iter [65400/160000] lr: 2.036e-05, eta: 18:31:59, time: 0.689, data_time: 0.012, memory: 9361, decode.loss_ce: 0.2081, decode.acc_seg: 91.2948, aux.loss_ce: 0.1301, aux.acc_seg: 87.3247, loss: 0.3382 2024-03-04 22:51:16,068 - mmseg - INFO - Iter [65450/160000] lr: 2.035e-05, eta: 18:31:22, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2121, decode.acc_seg: 91.3443, aux.loss_ce: 0.1216, aux.acc_seg: 88.1380, loss: 0.3337 2024-03-04 22:51:50,404 - mmseg - INFO - Iter [65500/160000] lr: 2.034e-05, eta: 18:30:45, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2109, decode.acc_seg: 91.1847, aux.loss_ce: 0.1312, aux.acc_seg: 87.6218, loss: 0.3421 2024-03-04 22:52:24,723 - mmseg - INFO - Iter [65550/160000] lr: 2.033e-05, eta: 18:30:09, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2057, decode.acc_seg: 91.6823, aux.loss_ce: 0.1218, aux.acc_seg: 88.3003, loss: 0.3275 2024-03-04 22:52:59,181 - mmseg - INFO - Iter [65600/160000] lr: 2.032e-05, eta: 18:29:32, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2005, decode.acc_seg: 91.4767, aux.loss_ce: 0.1228, aux.acc_seg: 87.8419, loss: 0.3234 2024-03-04 22:53:33,305 - mmseg - INFO - Iter [65650/160000] lr: 2.031e-05, eta: 18:28:55, time: 0.682, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2181, decode.acc_seg: 90.6258, aux.loss_ce: 0.1256, aux.acc_seg: 87.4685, loss: 0.3437 2024-03-04 22:54:10,863 - mmseg - INFO - Iter [65700/160000] lr: 2.030e-05, eta: 18:28:23, time: 0.751, data_time: 0.054, memory: 9361, decode.loss_ce: 0.2159, decode.acc_seg: 91.0407, aux.loss_ce: 0.1248, aux.acc_seg: 87.7638, loss: 0.3408 2024-03-04 22:54:45,304 - mmseg - INFO - Iter [65750/160000] lr: 2.029e-05, eta: 18:27:47, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2109, decode.acc_seg: 91.1888, aux.loss_ce: 0.1298, aux.acc_seg: 87.2590, loss: 0.3407 2024-03-04 22:55:19,824 - mmseg - INFO - Iter [65800/160000] lr: 2.028e-05, eta: 18:27:10, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1936, decode.acc_seg: 91.7070, aux.loss_ce: 0.1181, aux.acc_seg: 88.3791, loss: 0.3117 2024-03-04 22:55:54,257 - mmseg - INFO - Iter [65850/160000] lr: 2.026e-05, eta: 18:26:34, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2133, decode.acc_seg: 91.0422, aux.loss_ce: 0.1283, aux.acc_seg: 87.4909, loss: 0.3416 2024-03-04 22:56:28,710 - mmseg - INFO - Iter [65900/160000] lr: 2.025e-05, eta: 18:25:58, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2098, decode.acc_seg: 91.2306, aux.loss_ce: 0.1238, aux.acc_seg: 87.9721, loss: 0.3335 2024-03-04 22:57:03,022 - mmseg - INFO - Iter [65950/160000] lr: 2.024e-05, eta: 18:25:21, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2113, decode.acc_seg: 91.3475, aux.loss_ce: 0.1218, aux.acc_seg: 88.3247, loss: 0.3331 2024-03-04 22:57:37,546 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 22:57:37,546 - mmseg - INFO - Iter [66000/160000] lr: 2.023e-05, eta: 18:24:45, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2155, decode.acc_seg: 91.0085, aux.loss_ce: 0.1218, aux.acc_seg: 87.9342, loss: 0.3373 2024-03-04 22:58:11,980 - mmseg - INFO - Iter [66050/160000] lr: 2.022e-05, eta: 18:24:08, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2329, decode.acc_seg: 90.5618, aux.loss_ce: 0.1352, aux.acc_seg: 87.2101, loss: 0.3681 2024-03-04 22:58:46,345 - mmseg - INFO - Iter [66100/160000] lr: 2.021e-05, eta: 18:23:32, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2020, decode.acc_seg: 91.5705, aux.loss_ce: 0.1174, aux.acc_seg: 88.6246, loss: 0.3194 2024-03-04 22:59:20,875 - mmseg - INFO - Iter [66150/160000] lr: 2.020e-05, eta: 18:22:55, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2095, decode.acc_seg: 91.2028, aux.loss_ce: 0.1175, aux.acc_seg: 88.3299, loss: 0.3269 2024-03-04 22:59:55,199 - mmseg - INFO - Iter [66200/160000] lr: 2.019e-05, eta: 18:22:19, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2283, decode.acc_seg: 90.5135, aux.loss_ce: 0.1380, aux.acc_seg: 86.8229, loss: 0.3662 2024-03-04 23:00:29,469 - mmseg - INFO - Iter [66250/160000] lr: 2.018e-05, eta: 18:21:42, time: 0.685, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2046, decode.acc_seg: 91.5209, aux.loss_ce: 0.1192, aux.acc_seg: 88.3355, loss: 0.3237 2024-03-04 23:01:03,813 - mmseg - INFO - Iter [66300/160000] lr: 2.017e-05, eta: 18:21:06, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2038, decode.acc_seg: 91.3482, aux.loss_ce: 0.1229, aux.acc_seg: 87.7665, loss: 0.3267 2024-03-04 23:01:38,158 - mmseg - INFO - Iter [66350/160000] lr: 2.016e-05, eta: 18:20:29, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2060, decode.acc_seg: 91.3597, aux.loss_ce: 0.1233, aux.acc_seg: 87.7653, loss: 0.3293 2024-03-04 23:02:12,696 - mmseg - INFO - Iter [66400/160000] lr: 2.015e-05, eta: 18:19:53, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1990, decode.acc_seg: 91.5714, aux.loss_ce: 0.1184, aux.acc_seg: 88.1360, loss: 0.3174 2024-03-04 23:02:47,002 - mmseg - INFO - Iter [66450/160000] lr: 2.014e-05, eta: 18:19:16, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2042, decode.acc_seg: 91.6790, aux.loss_ce: 0.1186, aux.acc_seg: 88.4225, loss: 0.3229 2024-03-04 23:03:21,434 - mmseg - INFO - Iter [66500/160000] lr: 2.012e-05, eta: 18:18:40, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2132, decode.acc_seg: 91.1501, aux.loss_ce: 0.1277, aux.acc_seg: 87.6212, loss: 0.3409 2024-03-04 23:03:56,051 - mmseg - INFO - Iter [66550/160000] lr: 2.011e-05, eta: 18:18:04, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2088, decode.acc_seg: 91.2961, aux.loss_ce: 0.1257, aux.acc_seg: 87.6411, loss: 0.3345 2024-03-04 23:04:30,365 - mmseg - INFO - Iter [66600/160000] lr: 2.010e-05, eta: 18:17:27, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2096, decode.acc_seg: 91.3084, aux.loss_ce: 0.1289, aux.acc_seg: 87.5605, loss: 0.3385 2024-03-04 23:05:05,065 - mmseg - INFO - Iter [66650/160000] lr: 2.009e-05, eta: 18:16:51, time: 0.694, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2074, decode.acc_seg: 91.4614, aux.loss_ce: 0.1235, aux.acc_seg: 88.0964, loss: 0.3308 2024-03-04 23:05:39,517 - mmseg - INFO - Iter [66700/160000] lr: 2.008e-05, eta: 18:16:15, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2006, decode.acc_seg: 91.5138, aux.loss_ce: 0.1164, aux.acc_seg: 88.2791, loss: 0.3170 2024-03-04 23:06:13,890 - mmseg - INFO - Iter [66750/160000] lr: 2.007e-05, eta: 18:15:38, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2067, decode.acc_seg: 91.3646, aux.loss_ce: 0.1186, aux.acc_seg: 88.2596, loss: 0.3254 2024-03-04 23:06:48,343 - mmseg - INFO - Iter [66800/160000] lr: 2.006e-05, eta: 18:15:02, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2141, decode.acc_seg: 91.0947, aux.loss_ce: 0.1241, aux.acc_seg: 87.7570, loss: 0.3382 2024-03-04 23:07:22,614 - mmseg - INFO - Iter [66850/160000] lr: 2.005e-05, eta: 18:14:25, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2069, decode.acc_seg: 91.4494, aux.loss_ce: 0.1230, aux.acc_seg: 87.8946, loss: 0.3299 2024-03-04 23:07:57,070 - mmseg - INFO - Iter [66900/160000] lr: 2.004e-05, eta: 18:13:49, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2025, decode.acc_seg: 91.4814, aux.loss_ce: 0.1221, aux.acc_seg: 87.8658, loss: 0.3247 2024-03-04 23:08:34,642 - mmseg - INFO - Iter [66950/160000] lr: 2.003e-05, eta: 18:13:17, time: 0.751, data_time: 0.066, memory: 9361, decode.loss_ce: 0.2104, decode.acc_seg: 91.1455, aux.loss_ce: 0.1221, aux.acc_seg: 87.9381, loss: 0.3325 2024-03-04 23:09:09,209 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 23:09:09,210 - mmseg - INFO - Iter [67000/160000] lr: 2.002e-05, eta: 18:12:41, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2039, decode.acc_seg: 91.5056, aux.loss_ce: 0.1216, aux.acc_seg: 88.1756, loss: 0.3255 2024-03-04 23:09:43,597 - mmseg - INFO - Iter [67050/160000] lr: 2.001e-05, eta: 18:12:04, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2044, decode.acc_seg: 91.5239, aux.loss_ce: 0.1168, aux.acc_seg: 88.7314, loss: 0.3212 2024-03-04 23:10:17,942 - mmseg - INFO - Iter [67100/160000] lr: 2.000e-05, eta: 18:11:28, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2005, decode.acc_seg: 91.3777, aux.loss_ce: 0.1184, aux.acc_seg: 88.1005, loss: 0.3189 2024-03-04 23:10:52,222 - mmseg - INFO - Iter [67150/160000] lr: 1.998e-05, eta: 18:10:51, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2035, decode.acc_seg: 91.4798, aux.loss_ce: 0.1207, aux.acc_seg: 88.3066, loss: 0.3241 2024-03-04 23:11:26,704 - mmseg - INFO - Iter [67200/160000] lr: 1.997e-05, eta: 18:10:15, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2006, decode.acc_seg: 91.5667, aux.loss_ce: 0.1214, aux.acc_seg: 88.0714, loss: 0.3220 2024-03-04 23:12:01,082 - mmseg - INFO - Iter [67250/160000] lr: 1.996e-05, eta: 18:09:39, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2008, decode.acc_seg: 91.4102, aux.loss_ce: 0.1165, aux.acc_seg: 88.5128, loss: 0.3174 2024-03-04 23:12:35,555 - mmseg - INFO - Iter [67300/160000] lr: 1.995e-05, eta: 18:09:02, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2063, decode.acc_seg: 91.4448, aux.loss_ce: 0.1171, aux.acc_seg: 88.8095, loss: 0.3235 2024-03-04 23:13:10,052 - mmseg - INFO - Iter [67350/160000] lr: 1.994e-05, eta: 18:08:26, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1995, decode.acc_seg: 91.5278, aux.loss_ce: 0.1193, aux.acc_seg: 88.2582, loss: 0.3187 2024-03-04 23:13:44,588 - mmseg - INFO - Iter [67400/160000] lr: 1.993e-05, eta: 18:07:50, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1880, decode.acc_seg: 91.9852, aux.loss_ce: 0.1134, aux.acc_seg: 88.6691, loss: 0.3014 2024-03-04 23:14:19,048 - mmseg - INFO - Iter [67450/160000] lr: 1.992e-05, eta: 18:07:13, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2024, decode.acc_seg: 91.5795, aux.loss_ce: 0.1178, aux.acc_seg: 88.4405, loss: 0.3202 2024-03-04 23:14:53,661 - mmseg - INFO - Iter [67500/160000] lr: 1.991e-05, eta: 18:06:37, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1983, decode.acc_seg: 91.8241, aux.loss_ce: 0.1178, aux.acc_seg: 88.7501, loss: 0.3161 2024-03-04 23:15:28,357 - mmseg - INFO - Iter [67550/160000] lr: 1.990e-05, eta: 18:06:01, time: 0.694, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1978, decode.acc_seg: 91.7845, aux.loss_ce: 0.1179, aux.acc_seg: 88.4697, loss: 0.3157 2024-03-04 23:16:02,591 - mmseg - INFO - Iter [67600/160000] lr: 1.989e-05, eta: 18:05:25, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1932, decode.acc_seg: 91.9910, aux.loss_ce: 0.1129, aux.acc_seg: 88.9312, loss: 0.3061 2024-03-04 23:16:37,306 - mmseg - INFO - Iter [67650/160000] lr: 1.988e-05, eta: 18:04:49, time: 0.694, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2077, decode.acc_seg: 91.2991, aux.loss_ce: 0.1197, aux.acc_seg: 88.2640, loss: 0.3274 2024-03-04 23:17:11,504 - mmseg - INFO - Iter [67700/160000] lr: 1.987e-05, eta: 18:04:12, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2026, decode.acc_seg: 91.5353, aux.loss_ce: 0.1248, aux.acc_seg: 87.8726, loss: 0.3274 2024-03-04 23:17:46,089 - mmseg - INFO - Iter [67750/160000] lr: 1.986e-05, eta: 18:03:36, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2081, decode.acc_seg: 91.1185, aux.loss_ce: 0.1222, aux.acc_seg: 87.8526, loss: 0.3303 2024-03-04 23:18:20,452 - mmseg - INFO - Iter [67800/160000] lr: 1.984e-05, eta: 18:02:59, time: 0.687, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1986, decode.acc_seg: 91.8566, aux.loss_ce: 0.1181, aux.acc_seg: 88.7073, loss: 0.3166 2024-03-04 23:18:55,032 - mmseg - INFO - Iter [67850/160000] lr: 1.983e-05, eta: 18:02:23, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2095, decode.acc_seg: 91.1301, aux.loss_ce: 0.1195, aux.acc_seg: 88.1782, loss: 0.3290 2024-03-04 23:19:29,536 - mmseg - INFO - Iter [67900/160000] lr: 1.982e-05, eta: 18:01:47, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2133, decode.acc_seg: 91.0322, aux.loss_ce: 0.1242, aux.acc_seg: 87.9047, loss: 0.3376 2024-03-04 23:20:03,867 - mmseg - INFO - Iter [67950/160000] lr: 1.981e-05, eta: 18:01:11, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2020, decode.acc_seg: 91.5165, aux.loss_ce: 0.1206, aux.acc_seg: 88.1983, loss: 0.3226 2024-03-04 23:20:38,523 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 23:20:38,523 - mmseg - INFO - Iter [68000/160000] lr: 1.980e-05, eta: 18:00:35, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2020, decode.acc_seg: 91.5443, aux.loss_ce: 0.1155, aux.acc_seg: 88.7207, loss: 0.3175 2024-03-04 23:21:13,244 - mmseg - INFO - Iter [68050/160000] lr: 1.979e-05, eta: 17:59:59, time: 0.695, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2114, decode.acc_seg: 90.9872, aux.loss_ce: 0.1273, aux.acc_seg: 87.4165, loss: 0.3386 2024-03-04 23:21:47,762 - mmseg - INFO - Iter [68100/160000] lr: 1.978e-05, eta: 17:59:22, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2160, decode.acc_seg: 90.9447, aux.loss_ce: 0.1294, aux.acc_seg: 87.3713, loss: 0.3454 2024-03-04 23:22:22,337 - mmseg - INFO - Iter [68150/160000] lr: 1.977e-05, eta: 17:58:46, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2269, decode.acc_seg: 90.4651, aux.loss_ce: 0.1343, aux.acc_seg: 86.8090, loss: 0.3612 2024-03-04 23:22:56,518 - mmseg - INFO - Iter [68200/160000] lr: 1.976e-05, eta: 17:58:10, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2265, decode.acc_seg: 90.9392, aux.loss_ce: 0.1281, aux.acc_seg: 87.4624, loss: 0.3546 2024-03-04 23:23:33,875 - mmseg - INFO - Iter [68250/160000] lr: 1.975e-05, eta: 17:57:37, time: 0.747, data_time: 0.064, memory: 9361, decode.loss_ce: 0.2097, decode.acc_seg: 91.1488, aux.loss_ce: 0.1223, aux.acc_seg: 88.2251, loss: 0.3320 2024-03-04 23:24:08,370 - mmseg - INFO - Iter [68300/160000] lr: 1.974e-05, eta: 17:57:01, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2011, decode.acc_seg: 91.6338, aux.loss_ce: 0.1185, aux.acc_seg: 88.4591, loss: 0.3196 2024-03-04 23:24:42,752 - mmseg - INFO - Iter [68350/160000] lr: 1.973e-05, eta: 17:56:25, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2044, decode.acc_seg: 91.3788, aux.loss_ce: 0.1207, aux.acc_seg: 88.0477, loss: 0.3251 2024-03-04 23:25:17,011 - mmseg - INFO - Iter [68400/160000] lr: 1.972e-05, eta: 17:55:48, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2074, decode.acc_seg: 91.4863, aux.loss_ce: 0.1204, aux.acc_seg: 88.2982, loss: 0.3278 2024-03-04 23:25:51,522 - mmseg - INFO - Iter [68450/160000] lr: 1.970e-05, eta: 17:55:12, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2155, decode.acc_seg: 91.2510, aux.loss_ce: 0.1255, aux.acc_seg: 88.0179, loss: 0.3410 2024-03-04 23:26:25,940 - mmseg - INFO - Iter [68500/160000] lr: 1.969e-05, eta: 17:54:36, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2092, decode.acc_seg: 91.3395, aux.loss_ce: 0.1198, aux.acc_seg: 88.3928, loss: 0.3290 2024-03-04 23:27:00,116 - mmseg - INFO - Iter [68550/160000] lr: 1.968e-05, eta: 17:53:59, time: 0.684, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1904, decode.acc_seg: 91.8471, aux.loss_ce: 0.1124, aux.acc_seg: 88.6156, loss: 0.3027 2024-03-04 23:27:34,371 - mmseg - INFO - Iter [68600/160000] lr: 1.967e-05, eta: 17:53:22, time: 0.685, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1995, decode.acc_seg: 91.4969, aux.loss_ce: 0.1199, aux.acc_seg: 88.0934, loss: 0.3194 2024-03-04 23:28:08,729 - mmseg - INFO - Iter [68650/160000] lr: 1.966e-05, eta: 17:52:46, time: 0.687, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1934, decode.acc_seg: 91.7973, aux.loss_ce: 0.1109, aux.acc_seg: 88.9056, loss: 0.3044 2024-03-04 23:28:43,181 - mmseg - INFO - Iter [68700/160000] lr: 1.965e-05, eta: 17:52:10, time: 0.689, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1994, decode.acc_seg: 91.4175, aux.loss_ce: 0.1184, aux.acc_seg: 88.0788, loss: 0.3178 2024-03-04 23:29:17,578 - mmseg - INFO - Iter [68750/160000] lr: 1.964e-05, eta: 17:51:33, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2078, decode.acc_seg: 91.4075, aux.loss_ce: 0.1211, aux.acc_seg: 88.3096, loss: 0.3289 2024-03-04 23:29:52,102 - mmseg - INFO - Iter [68800/160000] lr: 1.963e-05, eta: 17:50:57, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2055, decode.acc_seg: 91.3118, aux.loss_ce: 0.1237, aux.acc_seg: 87.7070, loss: 0.3291 2024-03-04 23:30:26,754 - mmseg - INFO - Iter [68850/160000] lr: 1.962e-05, eta: 17:50:21, time: 0.693, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1960, decode.acc_seg: 91.7036, aux.loss_ce: 0.1151, aux.acc_seg: 88.5499, loss: 0.3112 2024-03-04 23:31:01,204 - mmseg - INFO - Iter [68900/160000] lr: 1.961e-05, eta: 17:49:45, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2123, decode.acc_seg: 91.3748, aux.loss_ce: 0.1227, aux.acc_seg: 88.1799, loss: 0.3350 2024-03-04 23:31:35,646 - mmseg - INFO - Iter [68950/160000] lr: 1.960e-05, eta: 17:49:09, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2074, decode.acc_seg: 91.2353, aux.loss_ce: 0.1240, aux.acc_seg: 87.8102, loss: 0.3315 2024-03-04 23:32:10,045 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 23:32:10,045 - mmseg - INFO - Iter [69000/160000] lr: 1.959e-05, eta: 17:48:32, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2077, decode.acc_seg: 91.1189, aux.loss_ce: 0.1215, aux.acc_seg: 88.0166, loss: 0.3292 2024-03-04 23:32:44,583 - mmseg - INFO - Iter [69050/160000] lr: 1.958e-05, eta: 17:47:56, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2152, decode.acc_seg: 90.9411, aux.loss_ce: 0.1238, aux.acc_seg: 87.7053, loss: 0.3390 2024-03-04 23:33:19,006 - mmseg - INFO - Iter [69100/160000] lr: 1.956e-05, eta: 17:47:20, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1968, decode.acc_seg: 91.6707, aux.loss_ce: 0.1139, aux.acc_seg: 88.5557, loss: 0.3107 2024-03-04 23:33:53,436 - mmseg - INFO - Iter [69150/160000] lr: 1.955e-05, eta: 17:46:44, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2006, decode.acc_seg: 91.6156, aux.loss_ce: 0.1210, aux.acc_seg: 87.9184, loss: 0.3216 2024-03-04 23:34:27,804 - mmseg - INFO - Iter [69200/160000] lr: 1.954e-05, eta: 17:46:07, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1985, decode.acc_seg: 91.6667, aux.loss_ce: 0.1148, aux.acc_seg: 88.5276, loss: 0.3134 2024-03-04 23:35:02,290 - mmseg - INFO - Iter [69250/160000] lr: 1.953e-05, eta: 17:45:31, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2003, decode.acc_seg: 91.6965, aux.loss_ce: 0.1194, aux.acc_seg: 88.3184, loss: 0.3196 2024-03-04 23:35:36,878 - mmseg - INFO - Iter [69300/160000] lr: 1.952e-05, eta: 17:44:55, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2024, decode.acc_seg: 91.5055, aux.loss_ce: 0.1245, aux.acc_seg: 87.9286, loss: 0.3270 2024-03-04 23:36:11,249 - mmseg - INFO - Iter [69350/160000] lr: 1.951e-05, eta: 17:44:19, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2045, decode.acc_seg: 91.2673, aux.loss_ce: 0.1199, aux.acc_seg: 88.0852, loss: 0.3244 2024-03-04 23:36:45,490 - mmseg - INFO - Iter [69400/160000] lr: 1.950e-05, eta: 17:43:42, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2114, decode.acc_seg: 91.2187, aux.loss_ce: 0.1273, aux.acc_seg: 87.8262, loss: 0.3387 2024-03-04 23:37:19,774 - mmseg - INFO - Iter [69450/160000] lr: 1.949e-05, eta: 17:43:06, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2023, decode.acc_seg: 91.5158, aux.loss_ce: 0.1140, aux.acc_seg: 88.6541, loss: 0.3163 2024-03-04 23:37:57,247 - mmseg - INFO - Iter [69500/160000] lr: 1.948e-05, eta: 17:42:34, time: 0.749, data_time: 0.065, memory: 9361, decode.loss_ce: 0.2039, decode.acc_seg: 91.2411, aux.loss_ce: 0.1187, aux.acc_seg: 88.1557, loss: 0.3227 2024-03-04 23:38:31,888 - mmseg - INFO - Iter [69550/160000] lr: 1.947e-05, eta: 17:41:58, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1915, decode.acc_seg: 92.1011, aux.loss_ce: 0.1135, aux.acc_seg: 88.8400, loss: 0.3051 2024-03-04 23:39:06,233 - mmseg - INFO - Iter [69600/160000] lr: 1.946e-05, eta: 17:41:21, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1923, decode.acc_seg: 92.1102, aux.loss_ce: 0.1161, aux.acc_seg: 88.7843, loss: 0.3084 2024-03-04 23:39:40,700 - mmseg - INFO - Iter [69650/160000] lr: 1.945e-05, eta: 17:40:45, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1995, decode.acc_seg: 91.6318, aux.loss_ce: 0.1186, aux.acc_seg: 88.3738, loss: 0.3181 2024-03-04 23:40:15,318 - mmseg - INFO - Iter [69700/160000] lr: 1.944e-05, eta: 17:40:09, time: 0.692, data_time: 0.012, memory: 9361, decode.loss_ce: 0.2044, decode.acc_seg: 91.3722, aux.loss_ce: 0.1207, aux.acc_seg: 88.1614, loss: 0.3251 2024-03-04 23:40:49,766 - mmseg - INFO - Iter [69750/160000] lr: 1.943e-05, eta: 17:39:33, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1981, decode.acc_seg: 91.5776, aux.loss_ce: 0.1131, aux.acc_seg: 88.5875, loss: 0.3112 2024-03-04 23:41:24,321 - mmseg - INFO - Iter [69800/160000] lr: 1.941e-05, eta: 17:38:57, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1930, decode.acc_seg: 91.9365, aux.loss_ce: 0.1167, aux.acc_seg: 88.5507, loss: 0.3097 2024-03-04 23:41:59,167 - mmseg - INFO - Iter [69850/160000] lr: 1.940e-05, eta: 17:38:21, time: 0.697, data_time: 0.016, memory: 9361, decode.loss_ce: 0.1857, decode.acc_seg: 91.9939, aux.loss_ce: 0.1110, aux.acc_seg: 88.8285, loss: 0.2968 2024-03-04 23:42:33,724 - mmseg - INFO - Iter [69900/160000] lr: 1.939e-05, eta: 17:37:45, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2004, decode.acc_seg: 91.6181, aux.loss_ce: 0.1226, aux.acc_seg: 88.1039, loss: 0.3230 2024-03-04 23:43:08,234 - mmseg - INFO - Iter [69950/160000] lr: 1.938e-05, eta: 17:37:09, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1990, decode.acc_seg: 91.4207, aux.loss_ce: 0.1203, aux.acc_seg: 87.9937, loss: 0.3193 2024-03-04 23:43:42,751 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 23:43:42,751 - mmseg - INFO - Iter [70000/160000] lr: 1.937e-05, eta: 17:36:33, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2079, decode.acc_seg: 91.2942, aux.loss_ce: 0.1235, aux.acc_seg: 87.8639, loss: 0.3314 2024-03-04 23:44:17,205 - mmseg - INFO - Iter [70050/160000] lr: 1.936e-05, eta: 17:35:57, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1980, decode.acc_seg: 91.6602, aux.loss_ce: 0.1176, aux.acc_seg: 88.2420, loss: 0.3156 2024-03-04 23:44:51,782 - mmseg - INFO - Iter [70100/160000] lr: 1.935e-05, eta: 17:35:20, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1987, decode.acc_seg: 91.7525, aux.loss_ce: 0.1169, aux.acc_seg: 88.6756, loss: 0.3156 2024-03-04 23:45:26,358 - mmseg - INFO - Iter [70150/160000] lr: 1.934e-05, eta: 17:34:44, time: 0.692, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1961, decode.acc_seg: 91.8726, aux.loss_ce: 0.1161, aux.acc_seg: 88.6637, loss: 0.3122 2024-03-04 23:46:00,734 - mmseg - INFO - Iter [70200/160000] lr: 1.933e-05, eta: 17:34:08, time: 0.687, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1976, decode.acc_seg: 91.6631, aux.loss_ce: 0.1210, aux.acc_seg: 88.0793, loss: 0.3186 2024-03-04 23:46:35,361 - mmseg - INFO - Iter [70250/160000] lr: 1.932e-05, eta: 17:33:32, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2188, decode.acc_seg: 90.9377, aux.loss_ce: 0.1256, aux.acc_seg: 87.7172, loss: 0.3444 2024-03-04 23:47:09,671 - mmseg - INFO - Iter [70300/160000] lr: 1.931e-05, eta: 17:32:56, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2016, decode.acc_seg: 91.4425, aux.loss_ce: 0.1191, aux.acc_seg: 88.2568, loss: 0.3207 2024-03-04 23:47:44,190 - mmseg - INFO - Iter [70350/160000] lr: 1.930e-05, eta: 17:32:20, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1960, decode.acc_seg: 91.8247, aux.loss_ce: 0.1176, aux.acc_seg: 88.4421, loss: 0.3136 2024-03-04 23:48:18,970 - mmseg - INFO - Iter [70400/160000] lr: 1.929e-05, eta: 17:31:44, time: 0.696, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1899, decode.acc_seg: 91.9267, aux.loss_ce: 0.1120, aux.acc_seg: 88.8146, loss: 0.3019 2024-03-04 23:48:53,525 - mmseg - INFO - Iter [70450/160000] lr: 1.927e-05, eta: 17:31:08, time: 0.691, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1943, decode.acc_seg: 91.6897, aux.loss_ce: 0.1174, aux.acc_seg: 88.4656, loss: 0.3116 2024-03-04 23:49:27,977 - mmseg - INFO - Iter [70500/160000] lr: 1.926e-05, eta: 17:30:32, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1993, decode.acc_seg: 91.3954, aux.loss_ce: 0.1215, aux.acc_seg: 87.7839, loss: 0.3208 2024-03-04 23:50:02,305 - mmseg - INFO - Iter [70550/160000] lr: 1.925e-05, eta: 17:29:55, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2007, decode.acc_seg: 91.7083, aux.loss_ce: 0.1213, aux.acc_seg: 88.2893, loss: 0.3220 2024-03-04 23:50:36,572 - mmseg - INFO - Iter [70600/160000] lr: 1.924e-05, eta: 17:29:19, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1916, decode.acc_seg: 91.9469, aux.loss_ce: 0.1150, aux.acc_seg: 88.9602, loss: 0.3066 2024-03-04 23:51:10,920 - mmseg - INFO - Iter [70650/160000] lr: 1.923e-05, eta: 17:28:43, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1903, decode.acc_seg: 91.9317, aux.loss_ce: 0.1138, aux.acc_seg: 88.6160, loss: 0.3041 2024-03-04 23:51:45,316 - mmseg - INFO - Iter [70700/160000] lr: 1.922e-05, eta: 17:28:06, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1980, decode.acc_seg: 91.5182, aux.loss_ce: 0.1170, aux.acc_seg: 88.3113, loss: 0.3150 2024-03-04 23:52:22,639 - mmseg - INFO - Iter [70750/160000] lr: 1.921e-05, eta: 17:27:34, time: 0.747, data_time: 0.062, memory: 9361, decode.loss_ce: 0.2026, decode.acc_seg: 91.5414, aux.loss_ce: 0.1211, aux.acc_seg: 88.2696, loss: 0.3237 2024-03-04 23:52:57,175 - mmseg - INFO - Iter [70800/160000] lr: 1.920e-05, eta: 17:26:58, time: 0.691, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2120, decode.acc_seg: 91.2794, aux.loss_ce: 0.1224, aux.acc_seg: 88.3645, loss: 0.3344 2024-03-04 23:53:31,488 - mmseg - INFO - Iter [70850/160000] lr: 1.919e-05, eta: 17:26:21, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1996, decode.acc_seg: 91.5872, aux.loss_ce: 0.1175, aux.acc_seg: 88.4729, loss: 0.3171 2024-03-04 23:54:05,959 - mmseg - INFO - Iter [70900/160000] lr: 1.918e-05, eta: 17:25:45, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1891, decode.acc_seg: 92.0088, aux.loss_ce: 0.1115, aux.acc_seg: 89.0497, loss: 0.3006 2024-03-04 23:54:40,396 - mmseg - INFO - Iter [70950/160000] lr: 1.917e-05, eta: 17:25:09, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1960, decode.acc_seg: 91.6883, aux.loss_ce: 0.1195, aux.acc_seg: 88.1301, loss: 0.3155 2024-03-04 23:55:14,642 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-04 23:55:14,642 - mmseg - INFO - Iter [71000/160000] lr: 1.916e-05, eta: 17:24:33, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1914, decode.acc_seg: 91.8444, aux.loss_ce: 0.1139, aux.acc_seg: 88.7403, loss: 0.3054 2024-03-04 23:55:49,110 - mmseg - INFO - Iter [71050/160000] lr: 1.915e-05, eta: 17:23:57, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1928, decode.acc_seg: 91.6816, aux.loss_ce: 0.1173, aux.acc_seg: 88.2230, loss: 0.3100 2024-03-04 23:56:23,473 - mmseg - INFO - Iter [71100/160000] lr: 1.913e-05, eta: 17:23:20, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1923, decode.acc_seg: 91.8176, aux.loss_ce: 0.1155, aux.acc_seg: 88.6172, loss: 0.3078 2024-03-04 23:56:57,994 - mmseg - INFO - Iter [71150/160000] lr: 1.912e-05, eta: 17:22:44, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2116, decode.acc_seg: 91.1971, aux.loss_ce: 0.1237, aux.acc_seg: 88.0025, loss: 0.3353 2024-03-04 23:57:32,330 - mmseg - INFO - Iter [71200/160000] lr: 1.911e-05, eta: 17:22:08, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2000, decode.acc_seg: 91.5028, aux.loss_ce: 0.1174, aux.acc_seg: 88.2562, loss: 0.3175 2024-03-04 23:58:06,767 - mmseg - INFO - Iter [71250/160000] lr: 1.910e-05, eta: 17:21:32, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2055, decode.acc_seg: 91.5506, aux.loss_ce: 0.1227, aux.acc_seg: 88.0145, loss: 0.3283 2024-03-04 23:58:41,273 - mmseg - INFO - Iter [71300/160000] lr: 1.909e-05, eta: 17:20:56, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2018, decode.acc_seg: 91.6941, aux.loss_ce: 0.1203, aux.acc_seg: 88.0285, loss: 0.3221 2024-03-04 23:59:15,814 - mmseg - INFO - Iter [71350/160000] lr: 1.908e-05, eta: 17:20:20, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1923, decode.acc_seg: 91.8286, aux.loss_ce: 0.1116, aux.acc_seg: 88.9193, loss: 0.3039 2024-03-04 23:59:50,252 - mmseg - INFO - Iter [71400/160000] lr: 1.907e-05, eta: 17:19:43, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2090, decode.acc_seg: 91.3281, aux.loss_ce: 0.1229, aux.acc_seg: 87.9919, loss: 0.3319 2024-03-05 00:00:24,683 - mmseg - INFO - Iter [71450/160000] lr: 1.906e-05, eta: 17:19:07, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2103, decode.acc_seg: 91.1636, aux.loss_ce: 0.1231, aux.acc_seg: 88.0658, loss: 0.3334 2024-03-05 00:00:59,306 - mmseg - INFO - Iter [71500/160000] lr: 1.905e-05, eta: 17:18:31, time: 0.692, data_time: 0.012, memory: 9361, decode.loss_ce: 0.2011, decode.acc_seg: 91.3681, aux.loss_ce: 0.1170, aux.acc_seg: 88.4285, loss: 0.3181 2024-03-05 00:01:33,882 - mmseg - INFO - Iter [71550/160000] lr: 1.904e-05, eta: 17:17:55, time: 0.692, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1994, decode.acc_seg: 91.7887, aux.loss_ce: 0.1183, aux.acc_seg: 88.4551, loss: 0.3177 2024-03-05 00:02:08,573 - mmseg - INFO - Iter [71600/160000] lr: 1.903e-05, eta: 17:17:20, time: 0.694, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1961, decode.acc_seg: 91.7255, aux.loss_ce: 0.1182, aux.acc_seg: 88.4671, loss: 0.3143 2024-03-05 00:02:43,055 - mmseg - INFO - Iter [71650/160000] lr: 1.902e-05, eta: 17:16:43, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1919, decode.acc_seg: 91.8952, aux.loss_ce: 0.1141, aux.acc_seg: 88.7691, loss: 0.3060 2024-03-05 00:03:17,776 - mmseg - INFO - Iter [71700/160000] lr: 1.901e-05, eta: 17:16:08, time: 0.695, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1922, decode.acc_seg: 92.0685, aux.loss_ce: 0.1166, aux.acc_seg: 88.7589, loss: 0.3089 2024-03-05 00:03:52,125 - mmseg - INFO - Iter [71750/160000] lr: 1.899e-05, eta: 17:15:31, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1872, decode.acc_seg: 91.9741, aux.loss_ce: 0.1099, aux.acc_seg: 88.9547, loss: 0.2971 2024-03-05 00:04:26,550 - mmseg - INFO - Iter [71800/160000] lr: 1.898e-05, eta: 17:14:55, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2091, decode.acc_seg: 91.2255, aux.loss_ce: 0.1247, aux.acc_seg: 87.7080, loss: 0.3338 2024-03-05 00:05:01,015 - mmseg - INFO - Iter [71850/160000] lr: 1.897e-05, eta: 17:14:19, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2005, decode.acc_seg: 91.5641, aux.loss_ce: 0.1192, aux.acc_seg: 88.3325, loss: 0.3197 2024-03-05 00:05:35,290 - mmseg - INFO - Iter [71900/160000] lr: 1.896e-05, eta: 17:13:43, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1917, decode.acc_seg: 91.8004, aux.loss_ce: 0.1116, aux.acc_seg: 88.8233, loss: 0.3032 2024-03-05 00:06:09,619 - mmseg - INFO - Iter [71950/160000] lr: 1.895e-05, eta: 17:13:07, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2020, decode.acc_seg: 91.4449, aux.loss_ce: 0.1202, aux.acc_seg: 88.0468, loss: 0.3222 2024-03-05 00:06:46,928 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 00:06:46,928 - mmseg - INFO - Iter [72000/160000] lr: 1.894e-05, eta: 17:12:34, time: 0.746, data_time: 0.059, memory: 9361, decode.loss_ce: 0.1944, decode.acc_seg: 92.0371, aux.loss_ce: 0.1146, aux.acc_seg: 88.8584, loss: 0.3090 2024-03-05 00:07:21,273 - mmseg - INFO - Iter [72050/160000] lr: 1.893e-05, eta: 17:11:58, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1915, decode.acc_seg: 91.8043, aux.loss_ce: 0.1153, aux.acc_seg: 88.5178, loss: 0.3068 2024-03-05 00:07:55,722 - mmseg - INFO - Iter [72100/160000] lr: 1.892e-05, eta: 17:11:22, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1895, decode.acc_seg: 91.9357, aux.loss_ce: 0.1189, aux.acc_seg: 88.1994, loss: 0.3084 2024-03-05 00:08:30,337 - mmseg - INFO - Iter [72150/160000] lr: 1.891e-05, eta: 17:10:46, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1958, decode.acc_seg: 91.7190, aux.loss_ce: 0.1168, aux.acc_seg: 88.4274, loss: 0.3125 2024-03-05 00:09:04,689 - mmseg - INFO - Iter [72200/160000] lr: 1.890e-05, eta: 17:10:09, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1942, decode.acc_seg: 91.6251, aux.loss_ce: 0.1147, aux.acc_seg: 88.6566, loss: 0.3089 2024-03-05 00:09:39,021 - mmseg - INFO - Iter [72250/160000] lr: 1.889e-05, eta: 17:09:33, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1871, decode.acc_seg: 91.9399, aux.loss_ce: 0.1099, aux.acc_seg: 89.0556, loss: 0.2971 2024-03-05 00:10:13,339 - mmseg - INFO - Iter [72300/160000] lr: 1.888e-05, eta: 17:08:57, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2093, decode.acc_seg: 91.5832, aux.loss_ce: 0.1231, aux.acc_seg: 88.2143, loss: 0.3324 2024-03-05 00:10:47,761 - mmseg - INFO - Iter [72350/160000] lr: 1.887e-05, eta: 17:08:21, time: 0.688, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1866, decode.acc_seg: 92.0699, aux.loss_ce: 0.1118, aux.acc_seg: 88.8135, loss: 0.2984 2024-03-05 00:11:22,256 - mmseg - INFO - Iter [72400/160000] lr: 1.885e-05, eta: 17:07:45, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1919, decode.acc_seg: 91.8795, aux.loss_ce: 0.1115, aux.acc_seg: 88.8234, loss: 0.3034 2024-03-05 00:11:56,719 - mmseg - INFO - Iter [72450/160000] lr: 1.884e-05, eta: 17:07:09, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1973, decode.acc_seg: 91.4428, aux.loss_ce: 0.1161, aux.acc_seg: 88.3485, loss: 0.3134 2024-03-05 00:12:31,399 - mmseg - INFO - Iter [72500/160000] lr: 1.883e-05, eta: 17:06:33, time: 0.694, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1862, decode.acc_seg: 91.9531, aux.loss_ce: 0.1151, aux.acc_seg: 88.3251, loss: 0.3013 2024-03-05 00:13:05,968 - mmseg - INFO - Iter [72550/160000] lr: 1.882e-05, eta: 17:05:57, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2091, decode.acc_seg: 91.4381, aux.loss_ce: 0.1225, aux.acc_seg: 88.1491, loss: 0.3315 2024-03-05 00:13:40,458 - mmseg - INFO - Iter [72600/160000] lr: 1.881e-05, eta: 17:05:21, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2012, decode.acc_seg: 91.6348, aux.loss_ce: 0.1219, aux.acc_seg: 88.1937, loss: 0.3230 2024-03-05 00:14:14,945 - mmseg - INFO - Iter [72650/160000] lr: 1.880e-05, eta: 17:04:45, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1961, decode.acc_seg: 91.6169, aux.loss_ce: 0.1167, aux.acc_seg: 88.5039, loss: 0.3128 2024-03-05 00:14:49,450 - mmseg - INFO - Iter [72700/160000] lr: 1.879e-05, eta: 17:04:09, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1978, decode.acc_seg: 91.5527, aux.loss_ce: 0.1171, aux.acc_seg: 88.3994, loss: 0.3149 2024-03-05 00:15:23,707 - mmseg - INFO - Iter [72750/160000] lr: 1.878e-05, eta: 17:03:32, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1871, decode.acc_seg: 91.9236, aux.loss_ce: 0.1094, aux.acc_seg: 89.0614, loss: 0.2965 2024-03-05 00:15:58,033 - mmseg - INFO - Iter [72800/160000] lr: 1.877e-05, eta: 17:02:56, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2094, decode.acc_seg: 91.3739, aux.loss_ce: 0.1228, aux.acc_seg: 87.9523, loss: 0.3322 2024-03-05 00:16:32,380 - mmseg - INFO - Iter [72850/160000] lr: 1.876e-05, eta: 17:02:20, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1899, decode.acc_seg: 92.0921, aux.loss_ce: 0.1146, aux.acc_seg: 88.8010, loss: 0.3045 2024-03-05 00:17:06,883 - mmseg - INFO - Iter [72900/160000] lr: 1.875e-05, eta: 17:01:44, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1892, decode.acc_seg: 91.9462, aux.loss_ce: 0.1128, aux.acc_seg: 88.7152, loss: 0.3021 2024-03-05 00:17:41,288 - mmseg - INFO - Iter [72950/160000] lr: 1.874e-05, eta: 17:01:08, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2030, decode.acc_seg: 91.4990, aux.loss_ce: 0.1162, aux.acc_seg: 88.6381, loss: 0.3191 2024-03-05 00:18:15,804 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 00:18:15,804 - mmseg - INFO - Iter [73000/160000] lr: 1.873e-05, eta: 17:00:32, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1893, decode.acc_seg: 92.1819, aux.loss_ce: 0.1117, aux.acc_seg: 89.0439, loss: 0.3010 2024-03-05 00:18:50,367 - mmseg - INFO - Iter [73050/160000] lr: 1.871e-05, eta: 16:59:56, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1987, decode.acc_seg: 91.7770, aux.loss_ce: 0.1156, aux.acc_seg: 88.6438, loss: 0.3143 2024-03-05 00:19:24,740 - mmseg - INFO - Iter [73100/160000] lr: 1.870e-05, eta: 16:59:20, time: 0.688, data_time: 0.012, memory: 9361, decode.loss_ce: 0.2014, decode.acc_seg: 91.4106, aux.loss_ce: 0.1163, aux.acc_seg: 88.2773, loss: 0.3177 2024-03-05 00:19:59,135 - mmseg - INFO - Iter [73150/160000] lr: 1.869e-05, eta: 16:58:44, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2112, decode.acc_seg: 91.2442, aux.loss_ce: 0.1254, aux.acc_seg: 87.7420, loss: 0.3366 2024-03-05 00:20:33,560 - mmseg - INFO - Iter [73200/160000] lr: 1.868e-05, eta: 16:58:08, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2089, decode.acc_seg: 91.2079, aux.loss_ce: 0.1245, aux.acc_seg: 87.9110, loss: 0.3334 2024-03-05 00:21:08,047 - mmseg - INFO - Iter [73250/160000] lr: 1.867e-05, eta: 16:57:31, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1832, decode.acc_seg: 92.3233, aux.loss_ce: 0.1116, aux.acc_seg: 89.0097, loss: 0.2948 2024-03-05 00:21:45,578 - mmseg - INFO - Iter [73300/160000] lr: 1.866e-05, eta: 16:56:59, time: 0.751, data_time: 0.066, memory: 9361, decode.loss_ce: 0.1808, decode.acc_seg: 92.5262, aux.loss_ce: 0.1092, aux.acc_seg: 89.4728, loss: 0.2900 2024-03-05 00:22:20,041 - mmseg - INFO - Iter [73350/160000] lr: 1.865e-05, eta: 16:56:23, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1938, decode.acc_seg: 91.9106, aux.loss_ce: 0.1161, aux.acc_seg: 88.6231, loss: 0.3099 2024-03-05 00:22:54,436 - mmseg - INFO - Iter [73400/160000] lr: 1.864e-05, eta: 16:55:47, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1933, decode.acc_seg: 91.9000, aux.loss_ce: 0.1114, aux.acc_seg: 89.0670, loss: 0.3048 2024-03-05 00:23:28,611 - mmseg - INFO - Iter [73450/160000] lr: 1.863e-05, eta: 16:55:11, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1833, decode.acc_seg: 92.0457, aux.loss_ce: 0.1114, aux.acc_seg: 88.5939, loss: 0.2947 2024-03-05 00:24:02,684 - mmseg - INFO - Iter [73500/160000] lr: 1.862e-05, eta: 16:54:34, time: 0.681, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1888, decode.acc_seg: 91.8882, aux.loss_ce: 0.1119, aux.acc_seg: 88.8769, loss: 0.3007 2024-03-05 00:24:37,207 - mmseg - INFO - Iter [73550/160000] lr: 1.861e-05, eta: 16:53:58, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1967, decode.acc_seg: 91.4494, aux.loss_ce: 0.1174, aux.acc_seg: 88.2428, loss: 0.3141 2024-03-05 00:25:11,587 - mmseg - INFO - Iter [73600/160000] lr: 1.860e-05, eta: 16:53:22, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1893, decode.acc_seg: 91.9882, aux.loss_ce: 0.1113, aux.acc_seg: 88.7942, loss: 0.3006 2024-03-05 00:25:46,012 - mmseg - INFO - Iter [73650/160000] lr: 1.859e-05, eta: 16:52:46, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1972, decode.acc_seg: 91.4539, aux.loss_ce: 0.1178, aux.acc_seg: 88.3896, loss: 0.3150 2024-03-05 00:26:20,597 - mmseg - INFO - Iter [73700/160000] lr: 1.857e-05, eta: 16:52:10, time: 0.692, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1974, decode.acc_seg: 91.8827, aux.loss_ce: 0.1170, aux.acc_seg: 88.6701, loss: 0.3145 2024-03-05 00:26:54,958 - mmseg - INFO - Iter [73750/160000] lr: 1.856e-05, eta: 16:51:34, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1940, decode.acc_seg: 91.9563, aux.loss_ce: 0.1167, aux.acc_seg: 88.7145, loss: 0.3107 2024-03-05 00:27:29,223 - mmseg - INFO - Iter [73800/160000] lr: 1.855e-05, eta: 16:50:58, time: 0.685, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1908, decode.acc_seg: 91.9729, aux.loss_ce: 0.1126, aux.acc_seg: 88.8941, loss: 0.3034 2024-03-05 00:28:03,429 - mmseg - INFO - Iter [73850/160000] lr: 1.854e-05, eta: 16:50:21, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1865, decode.acc_seg: 92.1145, aux.loss_ce: 0.1109, aux.acc_seg: 89.0984, loss: 0.2974 2024-03-05 00:28:37,921 - mmseg - INFO - Iter [73900/160000] lr: 1.853e-05, eta: 16:49:45, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1934, decode.acc_seg: 91.9418, aux.loss_ce: 0.1127, aux.acc_seg: 89.0718, loss: 0.3062 2024-03-05 00:29:12,452 - mmseg - INFO - Iter [73950/160000] lr: 1.852e-05, eta: 16:49:09, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1982, decode.acc_seg: 91.7644, aux.loss_ce: 0.1193, aux.acc_seg: 88.4920, loss: 0.3175 2024-03-05 00:29:46,894 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 00:29:46,894 - mmseg - INFO - Iter [74000/160000] lr: 1.851e-05, eta: 16:48:33, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1893, decode.acc_seg: 92.1504, aux.loss_ce: 0.1082, aux.acc_seg: 89.3101, loss: 0.2975 2024-03-05 00:30:21,211 - mmseg - INFO - Iter [74050/160000] lr: 1.850e-05, eta: 16:47:57, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1944, decode.acc_seg: 91.8297, aux.loss_ce: 0.1139, aux.acc_seg: 88.7456, loss: 0.3084 2024-03-05 00:30:55,681 - mmseg - INFO - Iter [74100/160000] lr: 1.849e-05, eta: 16:47:21, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1888, decode.acc_seg: 92.0522, aux.loss_ce: 0.1136, aux.acc_seg: 88.8421, loss: 0.3024 2024-03-05 00:31:30,169 - mmseg - INFO - Iter [74150/160000] lr: 1.848e-05, eta: 16:46:45, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1922, decode.acc_seg: 91.8374, aux.loss_ce: 0.1112, aux.acc_seg: 88.8364, loss: 0.3035 2024-03-05 00:32:04,569 - mmseg - INFO - Iter [74200/160000] lr: 1.847e-05, eta: 16:46:09, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2023, decode.acc_seg: 91.4758, aux.loss_ce: 0.1211, aux.acc_seg: 88.2395, loss: 0.3234 2024-03-05 00:32:38,862 - mmseg - INFO - Iter [74250/160000] lr: 1.846e-05, eta: 16:45:33, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1915, decode.acc_seg: 91.9494, aux.loss_ce: 0.1139, aux.acc_seg: 88.8643, loss: 0.3054 2024-03-05 00:33:13,389 - mmseg - INFO - Iter [74300/160000] lr: 1.845e-05, eta: 16:44:57, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2103, decode.acc_seg: 91.2191, aux.loss_ce: 0.1232, aux.acc_seg: 87.7754, loss: 0.3335 2024-03-05 00:33:48,130 - mmseg - INFO - Iter [74350/160000] lr: 1.843e-05, eta: 16:44:21, time: 0.695, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1900, decode.acc_seg: 92.0760, aux.loss_ce: 0.1096, aux.acc_seg: 89.2444, loss: 0.2996 2024-03-05 00:34:22,360 - mmseg - INFO - Iter [74400/160000] lr: 1.842e-05, eta: 16:43:45, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1920, decode.acc_seg: 91.7185, aux.loss_ce: 0.1137, aux.acc_seg: 88.3097, loss: 0.3057 2024-03-05 00:34:56,891 - mmseg - INFO - Iter [74450/160000] lr: 1.841e-05, eta: 16:43:09, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1912, decode.acc_seg: 91.9497, aux.loss_ce: 0.1135, aux.acc_seg: 89.0079, loss: 0.3047 2024-03-05 00:35:31,475 - mmseg - INFO - Iter [74500/160000] lr: 1.840e-05, eta: 16:42:33, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1923, decode.acc_seg: 91.8977, aux.loss_ce: 0.1131, aux.acc_seg: 88.8333, loss: 0.3054 2024-03-05 00:36:09,041 - mmseg - INFO - Iter [74550/160000] lr: 1.839e-05, eta: 16:42:01, time: 0.752, data_time: 0.068, memory: 9361, decode.loss_ce: 0.1895, decode.acc_seg: 92.2678, aux.loss_ce: 0.1129, aux.acc_seg: 89.2354, loss: 0.3024 2024-03-05 00:36:43,568 - mmseg - INFO - Iter [74600/160000] lr: 1.838e-05, eta: 16:41:25, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1889, decode.acc_seg: 92.1001, aux.loss_ce: 0.1122, aux.acc_seg: 88.8569, loss: 0.3010 2024-03-05 00:37:18,049 - mmseg - INFO - Iter [74650/160000] lr: 1.837e-05, eta: 16:40:49, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1891, decode.acc_seg: 92.0186, aux.loss_ce: 0.1114, aux.acc_seg: 88.8870, loss: 0.3005 2024-03-05 00:37:52,452 - mmseg - INFO - Iter [74700/160000] lr: 1.836e-05, eta: 16:40:13, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1873, decode.acc_seg: 92.0481, aux.loss_ce: 0.1135, aux.acc_seg: 88.8955, loss: 0.3008 2024-03-05 00:38:26,789 - mmseg - INFO - Iter [74750/160000] lr: 1.835e-05, eta: 16:39:37, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1858, decode.acc_seg: 91.8045, aux.loss_ce: 0.1101, aux.acc_seg: 88.7620, loss: 0.2958 2024-03-05 00:39:01,148 - mmseg - INFO - Iter [74800/160000] lr: 1.834e-05, eta: 16:39:00, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1897, decode.acc_seg: 92.0250, aux.loss_ce: 0.1134, aux.acc_seg: 88.8779, loss: 0.3030 2024-03-05 00:39:35,586 - mmseg - INFO - Iter [74850/160000] lr: 1.833e-05, eta: 16:38:24, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1967, decode.acc_seg: 91.7306, aux.loss_ce: 0.1147, aux.acc_seg: 88.5826, loss: 0.3114 2024-03-05 00:40:10,113 - mmseg - INFO - Iter [74900/160000] lr: 1.832e-05, eta: 16:37:48, time: 0.691, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1930, decode.acc_seg: 91.9430, aux.loss_ce: 0.1136, aux.acc_seg: 88.9999, loss: 0.3066 2024-03-05 00:40:44,554 - mmseg - INFO - Iter [74950/160000] lr: 1.831e-05, eta: 16:37:12, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1844, decode.acc_seg: 92.0134, aux.loss_ce: 0.1117, aux.acc_seg: 88.8155, loss: 0.2961 2024-03-05 00:41:19,187 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 00:41:19,188 - mmseg - INFO - Iter [75000/160000] lr: 1.830e-05, eta: 16:36:37, time: 0.692, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1987, decode.acc_seg: 91.5800, aux.loss_ce: 0.1176, aux.acc_seg: 88.1380, loss: 0.3164 2024-03-05 00:41:53,570 - mmseg - INFO - Iter [75050/160000] lr: 1.828e-05, eta: 16:36:01, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1851, decode.acc_seg: 92.3303, aux.loss_ce: 0.1104, aux.acc_seg: 89.2380, loss: 0.2954 2024-03-05 00:42:27,965 - mmseg - INFO - Iter [75100/160000] lr: 1.827e-05, eta: 16:35:25, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.2001, decode.acc_seg: 91.6831, aux.loss_ce: 0.1181, aux.acc_seg: 88.3592, loss: 0.3183 2024-03-05 00:43:02,205 - mmseg - INFO - Iter [75150/160000] lr: 1.826e-05, eta: 16:34:48, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1991, decode.acc_seg: 91.5887, aux.loss_ce: 0.1162, aux.acc_seg: 88.6174, loss: 0.3153 2024-03-05 00:43:36,579 - mmseg - INFO - Iter [75200/160000] lr: 1.825e-05, eta: 16:34:12, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1926, decode.acc_seg: 91.8981, aux.loss_ce: 0.1151, aux.acc_seg: 88.6306, loss: 0.3077 2024-03-05 00:44:10,894 - mmseg - INFO - Iter [75250/160000] lr: 1.824e-05, eta: 16:33:36, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1908, decode.acc_seg: 91.9366, aux.loss_ce: 0.1144, aux.acc_seg: 88.7780, loss: 0.3052 2024-03-05 00:44:45,292 - mmseg - INFO - Iter [75300/160000] lr: 1.823e-05, eta: 16:33:00, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1981, decode.acc_seg: 91.7487, aux.loss_ce: 0.1184, aux.acc_seg: 88.3399, loss: 0.3165 2024-03-05 00:45:19,913 - mmseg - INFO - Iter [75350/160000] lr: 1.822e-05, eta: 16:32:24, time: 0.693, data_time: 0.012, memory: 9361, decode.loss_ce: 0.2015, decode.acc_seg: 91.6143, aux.loss_ce: 0.1186, aux.acc_seg: 88.5236, loss: 0.3201 2024-03-05 00:45:54,577 - mmseg - INFO - Iter [75400/160000] lr: 1.821e-05, eta: 16:31:49, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2088, decode.acc_seg: 91.2538, aux.loss_ce: 0.1203, aux.acc_seg: 88.0139, loss: 0.3291 2024-03-05 00:46:28,996 - mmseg - INFO - Iter [75450/160000] lr: 1.820e-05, eta: 16:31:13, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1964, decode.acc_seg: 91.8558, aux.loss_ce: 0.1154, aux.acc_seg: 88.7925, loss: 0.3118 2024-03-05 00:47:03,615 - mmseg - INFO - Iter [75500/160000] lr: 1.819e-05, eta: 16:30:37, time: 0.692, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1981, decode.acc_seg: 91.5295, aux.loss_ce: 0.1172, aux.acc_seg: 88.2830, loss: 0.3153 2024-03-05 00:47:38,143 - mmseg - INFO - Iter [75550/160000] lr: 1.818e-05, eta: 16:30:01, time: 0.691, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2167, decode.acc_seg: 90.8739, aux.loss_ce: 0.1276, aux.acc_seg: 87.6326, loss: 0.3443 2024-03-05 00:48:12,666 - mmseg - INFO - Iter [75600/160000] lr: 1.817e-05, eta: 16:29:25, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1931, decode.acc_seg: 91.8742, aux.loss_ce: 0.1113, aux.acc_seg: 89.0026, loss: 0.3044 2024-03-05 00:48:47,312 - mmseg - INFO - Iter [75650/160000] lr: 1.816e-05, eta: 16:28:49, time: 0.693, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1987, decode.acc_seg: 91.7458, aux.loss_ce: 0.1180, aux.acc_seg: 88.4392, loss: 0.3167 2024-03-05 00:49:21,729 - mmseg - INFO - Iter [75700/160000] lr: 1.814e-05, eta: 16:28:13, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1871, decode.acc_seg: 91.8859, aux.loss_ce: 0.1109, aux.acc_seg: 88.7758, loss: 0.2980 2024-03-05 00:49:56,179 - mmseg - INFO - Iter [75750/160000] lr: 1.813e-05, eta: 16:27:37, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2014, decode.acc_seg: 91.4060, aux.loss_ce: 0.1204, aux.acc_seg: 88.1783, loss: 0.3219 2024-03-05 00:50:33,581 - mmseg - INFO - Iter [75800/160000] lr: 1.812e-05, eta: 16:27:05, time: 0.748, data_time: 0.052, memory: 9361, decode.loss_ce: 0.1828, decode.acc_seg: 92.2733, aux.loss_ce: 0.1107, aux.acc_seg: 89.0076, loss: 0.2935 2024-03-05 00:51:08,070 - mmseg - INFO - Iter [75850/160000] lr: 1.811e-05, eta: 16:26:29, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1790, decode.acc_seg: 92.5305, aux.loss_ce: 0.1101, aux.acc_seg: 89.4071, loss: 0.2891 2024-03-05 00:51:42,721 - mmseg - INFO - Iter [75900/160000] lr: 1.810e-05, eta: 16:25:53, time: 0.693, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1884, decode.acc_seg: 92.2043, aux.loss_ce: 0.1064, aux.acc_seg: 89.5820, loss: 0.2947 2024-03-05 00:52:17,173 - mmseg - INFO - Iter [75950/160000] lr: 1.809e-05, eta: 16:25:17, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1893, decode.acc_seg: 91.8089, aux.loss_ce: 0.1152, aux.acc_seg: 88.5178, loss: 0.3045 2024-03-05 00:52:51,548 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 00:52:51,548 - mmseg - INFO - Iter [76000/160000] lr: 1.808e-05, eta: 16:24:41, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1937, decode.acc_seg: 91.6836, aux.loss_ce: 0.1154, aux.acc_seg: 88.4223, loss: 0.3091 2024-03-05 00:53:26,055 - mmseg - INFO - Iter [76050/160000] lr: 1.807e-05, eta: 16:24:05, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1817, decode.acc_seg: 92.3554, aux.loss_ce: 0.1101, aux.acc_seg: 89.3124, loss: 0.2918 2024-03-05 00:54:00,545 - mmseg - INFO - Iter [76100/160000] lr: 1.806e-05, eta: 16:23:29, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1849, decode.acc_seg: 92.1653, aux.loss_ce: 0.1092, aux.acc_seg: 89.1085, loss: 0.2941 2024-03-05 00:54:34,950 - mmseg - INFO - Iter [76150/160000] lr: 1.805e-05, eta: 16:22:53, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1926, decode.acc_seg: 91.7749, aux.loss_ce: 0.1102, aux.acc_seg: 89.1157, loss: 0.3028 2024-03-05 00:55:09,384 - mmseg - INFO - Iter [76200/160000] lr: 1.804e-05, eta: 16:22:17, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1912, decode.acc_seg: 91.9419, aux.loss_ce: 0.1114, aux.acc_seg: 88.7851, loss: 0.3026 2024-03-05 00:55:43,915 - mmseg - INFO - Iter [76250/160000] lr: 1.803e-05, eta: 16:21:41, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1931, decode.acc_seg: 91.8333, aux.loss_ce: 0.1111, aux.acc_seg: 89.1321, loss: 0.3042 2024-03-05 00:56:18,413 - mmseg - INFO - Iter [76300/160000] lr: 1.802e-05, eta: 16:21:05, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2058, decode.acc_seg: 91.5239, aux.loss_ce: 0.1187, aux.acc_seg: 88.3481, loss: 0.3245 2024-03-05 00:56:52,884 - mmseg - INFO - Iter [76350/160000] lr: 1.800e-05, eta: 16:20:29, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1926, decode.acc_seg: 91.8342, aux.loss_ce: 0.1161, aux.acc_seg: 88.4938, loss: 0.3087 2024-03-05 00:57:27,312 - mmseg - INFO - Iter [76400/160000] lr: 1.799e-05, eta: 16:19:53, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2034, decode.acc_seg: 91.5253, aux.loss_ce: 0.1170, aux.acc_seg: 88.4969, loss: 0.3204 2024-03-05 00:58:01,916 - mmseg - INFO - Iter [76450/160000] lr: 1.798e-05, eta: 16:19:18, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1953, decode.acc_seg: 91.8110, aux.loss_ce: 0.1173, aux.acc_seg: 88.4236, loss: 0.3126 2024-03-05 00:58:36,288 - mmseg - INFO - Iter [76500/160000] lr: 1.797e-05, eta: 16:18:42, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2039, decode.acc_seg: 91.5749, aux.loss_ce: 0.1233, aux.acc_seg: 87.9837, loss: 0.3273 2024-03-05 00:59:10,784 - mmseg - INFO - Iter [76550/160000] lr: 1.796e-05, eta: 16:18:06, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1943, decode.acc_seg: 91.5830, aux.loss_ce: 0.1161, aux.acc_seg: 88.4408, loss: 0.3104 2024-03-05 00:59:45,266 - mmseg - INFO - Iter [76600/160000] lr: 1.795e-05, eta: 16:17:30, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1931, decode.acc_seg: 91.9042, aux.loss_ce: 0.1140, aux.acc_seg: 88.6830, loss: 0.3071 2024-03-05 01:00:19,813 - mmseg - INFO - Iter [76650/160000] lr: 1.794e-05, eta: 16:16:54, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1871, decode.acc_seg: 92.0617, aux.loss_ce: 0.1124, aux.acc_seg: 88.7315, loss: 0.2996 2024-03-05 01:00:54,097 - mmseg - INFO - Iter [76700/160000] lr: 1.793e-05, eta: 16:16:18, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1888, decode.acc_seg: 91.9975, aux.loss_ce: 0.1156, aux.acc_seg: 88.4254, loss: 0.3044 2024-03-05 01:01:28,435 - mmseg - INFO - Iter [76750/160000] lr: 1.792e-05, eta: 16:15:42, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1858, decode.acc_seg: 92.2568, aux.loss_ce: 0.1070, aux.acc_seg: 89.4810, loss: 0.2928 2024-03-05 01:02:02,748 - mmseg - INFO - Iter [76800/160000] lr: 1.791e-05, eta: 16:15:06, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1881, decode.acc_seg: 92.1049, aux.loss_ce: 0.1110, aux.acc_seg: 88.9048, loss: 0.2990 2024-03-05 01:02:37,219 - mmseg - INFO - Iter [76850/160000] lr: 1.790e-05, eta: 16:14:30, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1877, decode.acc_seg: 92.0160, aux.loss_ce: 0.1116, aux.acc_seg: 88.8772, loss: 0.2993 2024-03-05 01:03:11,546 - mmseg - INFO - Iter [76900/160000] lr: 1.789e-05, eta: 16:13:54, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1906, decode.acc_seg: 91.8963, aux.loss_ce: 0.1148, aux.acc_seg: 88.4571, loss: 0.3054 2024-03-05 01:03:46,193 - mmseg - INFO - Iter [76950/160000] lr: 1.788e-05, eta: 16:13:18, time: 0.693, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1999, decode.acc_seg: 91.6625, aux.loss_ce: 0.1169, aux.acc_seg: 88.5717, loss: 0.3168 2024-03-05 01:04:20,531 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 01:04:20,532 - mmseg - INFO - Iter [77000/160000] lr: 1.786e-05, eta: 16:12:42, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1872, decode.acc_seg: 92.0038, aux.loss_ce: 0.1148, aux.acc_seg: 88.5824, loss: 0.3020 2024-03-05 01:04:57,791 - mmseg - INFO - Iter [77050/160000] lr: 1.785e-05, eta: 16:12:09, time: 0.745, data_time: 0.066, memory: 9361, decode.loss_ce: 0.1894, decode.acc_seg: 92.0598, aux.loss_ce: 0.1112, aux.acc_seg: 89.1756, loss: 0.3005 2024-03-05 01:05:32,103 - mmseg - INFO - Iter [77100/160000] lr: 1.784e-05, eta: 16:11:33, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1872, decode.acc_seg: 91.8926, aux.loss_ce: 0.1117, aux.acc_seg: 88.7055, loss: 0.2989 2024-03-05 01:06:06,456 - mmseg - INFO - Iter [77150/160000] lr: 1.783e-05, eta: 16:10:57, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1931, decode.acc_seg: 91.8110, aux.loss_ce: 0.1128, aux.acc_seg: 88.7795, loss: 0.3059 2024-03-05 01:06:40,675 - mmseg - INFO - Iter [77200/160000] lr: 1.782e-05, eta: 16:10:21, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1892, decode.acc_seg: 91.9789, aux.loss_ce: 0.1129, aux.acc_seg: 88.8443, loss: 0.3020 2024-03-05 01:07:14,966 - mmseg - INFO - Iter [77250/160000] lr: 1.781e-05, eta: 16:09:45, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1813, decode.acc_seg: 92.1591, aux.loss_ce: 0.1087, aux.acc_seg: 89.2084, loss: 0.2900 2024-03-05 01:07:49,483 - mmseg - INFO - Iter [77300/160000] lr: 1.780e-05, eta: 16:09:09, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1771, decode.acc_seg: 92.3419, aux.loss_ce: 0.1068, aux.acc_seg: 89.2700, loss: 0.2840 2024-03-05 01:08:23,923 - mmseg - INFO - Iter [77350/160000] lr: 1.779e-05, eta: 16:08:33, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1790, decode.acc_seg: 92.6283, aux.loss_ce: 0.1062, aux.acc_seg: 89.7168, loss: 0.2853 2024-03-05 01:08:58,171 - mmseg - INFO - Iter [77400/160000] lr: 1.778e-05, eta: 16:07:57, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1908, decode.acc_seg: 91.9520, aux.loss_ce: 0.1129, aux.acc_seg: 88.7405, loss: 0.3037 2024-03-05 01:09:32,575 - mmseg - INFO - Iter [77450/160000] lr: 1.777e-05, eta: 16:07:21, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1841, decode.acc_seg: 92.1168, aux.loss_ce: 0.1117, aux.acc_seg: 88.9272, loss: 0.2958 2024-03-05 01:10:07,126 - mmseg - INFO - Iter [77500/160000] lr: 1.776e-05, eta: 16:06:45, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1766, decode.acc_seg: 92.5121, aux.loss_ce: 0.1083, aux.acc_seg: 89.2906, loss: 0.2849 2024-03-05 01:10:41,384 - mmseg - INFO - Iter [77550/160000] lr: 1.775e-05, eta: 16:06:09, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1915, decode.acc_seg: 92.1707, aux.loss_ce: 0.1141, aux.acc_seg: 88.9877, loss: 0.3057 2024-03-05 01:11:15,754 - mmseg - INFO - Iter [77600/160000] lr: 1.774e-05, eta: 16:05:33, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.2004, decode.acc_seg: 91.8964, aux.loss_ce: 0.1164, aux.acc_seg: 88.7045, loss: 0.3168 2024-03-05 01:11:50,107 - mmseg - INFO - Iter [77650/160000] lr: 1.772e-05, eta: 16:04:57, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1956, decode.acc_seg: 91.6425, aux.loss_ce: 0.1156, aux.acc_seg: 88.4815, loss: 0.3112 2024-03-05 01:12:24,511 - mmseg - INFO - Iter [77700/160000] lr: 1.771e-05, eta: 16:04:21, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1889, decode.acc_seg: 91.8084, aux.loss_ce: 0.1110, aux.acc_seg: 88.6556, loss: 0.2999 2024-03-05 01:12:58,673 - mmseg - INFO - Iter [77750/160000] lr: 1.770e-05, eta: 16:03:45, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1984, decode.acc_seg: 91.7650, aux.loss_ce: 0.1170, aux.acc_seg: 88.6388, loss: 0.3154 2024-03-05 01:13:32,941 - mmseg - INFO - Iter [77800/160000] lr: 1.769e-05, eta: 16:03:09, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1907, decode.acc_seg: 91.9957, aux.loss_ce: 0.1147, aux.acc_seg: 88.8182, loss: 0.3054 2024-03-05 01:14:07,256 - mmseg - INFO - Iter [77850/160000] lr: 1.768e-05, eta: 16:02:33, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1918, decode.acc_seg: 91.8804, aux.loss_ce: 0.1191, aux.acc_seg: 88.1151, loss: 0.3109 2024-03-05 01:14:41,966 - mmseg - INFO - Iter [77900/160000] lr: 1.767e-05, eta: 16:01:57, time: 0.694, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1926, decode.acc_seg: 92.0297, aux.loss_ce: 0.1151, aux.acc_seg: 88.7396, loss: 0.3077 2024-03-05 01:15:16,638 - mmseg - INFO - Iter [77950/160000] lr: 1.766e-05, eta: 16:01:21, time: 0.694, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1843, decode.acc_seg: 92.0708, aux.loss_ce: 0.1112, aux.acc_seg: 88.9417, loss: 0.2955 2024-03-05 01:15:51,050 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 01:15:51,050 - mmseg - INFO - Iter [78000/160000] lr: 1.765e-05, eta: 16:00:46, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1895, decode.acc_seg: 91.8443, aux.loss_ce: 0.1151, aux.acc_seg: 88.4029, loss: 0.3046 2024-03-05 01:16:25,600 - mmseg - INFO - Iter [78050/160000] lr: 1.764e-05, eta: 16:00:10, time: 0.691, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1920, decode.acc_seg: 91.7233, aux.loss_ce: 0.1138, aux.acc_seg: 88.4413, loss: 0.3058 2024-03-05 01:17:00,297 - mmseg - INFO - Iter [78100/160000] lr: 1.763e-05, eta: 15:59:34, time: 0.694, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1932, decode.acc_seg: 91.8980, aux.loss_ce: 0.1141, aux.acc_seg: 88.7853, loss: 0.3073 2024-03-05 01:17:34,994 - mmseg - INFO - Iter [78150/160000] lr: 1.762e-05, eta: 15:58:59, time: 0.694, data_time: 0.011, memory: 9361, decode.loss_ce: 0.2015, decode.acc_seg: 91.4484, aux.loss_ce: 0.1217, aux.acc_seg: 88.0839, loss: 0.3232 2024-03-05 01:18:09,514 - mmseg - INFO - Iter [78200/160000] lr: 1.761e-05, eta: 15:58:23, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1898, decode.acc_seg: 91.9583, aux.loss_ce: 0.1153, aux.acc_seg: 88.7014, loss: 0.3051 2024-03-05 01:18:44,039 - mmseg - INFO - Iter [78250/160000] lr: 1.760e-05, eta: 15:57:47, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1978, decode.acc_seg: 91.7779, aux.loss_ce: 0.1191, aux.acc_seg: 88.2213, loss: 0.3169 2024-03-05 01:19:18,535 - mmseg - INFO - Iter [78300/160000] lr: 1.758e-05, eta: 15:57:11, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1834, decode.acc_seg: 91.9943, aux.loss_ce: 0.1077, aux.acc_seg: 88.9859, loss: 0.2911 2024-03-05 01:19:56,159 - mmseg - INFO - Iter [78350/160000] lr: 1.757e-05, eta: 15:56:39, time: 0.752, data_time: 0.070, memory: 9361, decode.loss_ce: 0.1933, decode.acc_seg: 91.9461, aux.loss_ce: 0.1151, aux.acc_seg: 88.6764, loss: 0.3083 2024-03-05 01:20:30,702 - mmseg - INFO - Iter [78400/160000] lr: 1.756e-05, eta: 15:56:03, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1878, decode.acc_seg: 92.0219, aux.loss_ce: 0.1100, aux.acc_seg: 89.1756, loss: 0.2979 2024-03-05 01:21:05,189 - mmseg - INFO - Iter [78450/160000] lr: 1.755e-05, eta: 15:55:27, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1821, decode.acc_seg: 92.3475, aux.loss_ce: 0.1121, aux.acc_seg: 89.0936, loss: 0.2942 2024-03-05 01:21:39,572 - mmseg - INFO - Iter [78500/160000] lr: 1.754e-05, eta: 15:54:51, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1857, decode.acc_seg: 92.2273, aux.loss_ce: 0.1139, aux.acc_seg: 88.7674, loss: 0.2996 2024-03-05 01:22:14,083 - mmseg - INFO - Iter [78550/160000] lr: 1.753e-05, eta: 15:54:15, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1821, decode.acc_seg: 92.1167, aux.loss_ce: 0.1069, aux.acc_seg: 89.3864, loss: 0.2891 2024-03-05 01:22:48,619 - mmseg - INFO - Iter [78600/160000] lr: 1.752e-05, eta: 15:53:39, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1886, decode.acc_seg: 92.2772, aux.loss_ce: 0.1100, aux.acc_seg: 89.0350, loss: 0.2985 2024-03-05 01:23:23,243 - mmseg - INFO - Iter [78650/160000] lr: 1.751e-05, eta: 15:53:04, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1842, decode.acc_seg: 92.3931, aux.loss_ce: 0.1071, aux.acc_seg: 89.6246, loss: 0.2913 2024-03-05 01:23:57,757 - mmseg - INFO - Iter [78700/160000] lr: 1.750e-05, eta: 15:52:28, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1867, decode.acc_seg: 91.9972, aux.loss_ce: 0.1094, aux.acc_seg: 89.0689, loss: 0.2960 2024-03-05 01:24:32,144 - mmseg - INFO - Iter [78750/160000] lr: 1.749e-05, eta: 15:51:52, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1852, decode.acc_seg: 92.4201, aux.loss_ce: 0.1111, aux.acc_seg: 89.3134, loss: 0.2963 2024-03-05 01:25:06,557 - mmseg - INFO - Iter [78800/160000] lr: 1.748e-05, eta: 15:51:16, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1793, decode.acc_seg: 92.1587, aux.loss_ce: 0.1074, aux.acc_seg: 89.0394, loss: 0.2867 2024-03-05 01:25:41,012 - mmseg - INFO - Iter [78850/160000] lr: 1.747e-05, eta: 15:50:40, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1771, decode.acc_seg: 92.3310, aux.loss_ce: 0.1036, aux.acc_seg: 89.6396, loss: 0.2807 2024-03-05 01:26:15,336 - mmseg - INFO - Iter [78900/160000] lr: 1.746e-05, eta: 15:50:04, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1928, decode.acc_seg: 92.0781, aux.loss_ce: 0.1104, aux.acc_seg: 89.2329, loss: 0.3032 2024-03-05 01:26:49,590 - mmseg - INFO - Iter [78950/160000] lr: 1.744e-05, eta: 15:49:28, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1840, decode.acc_seg: 92.1918, aux.loss_ce: 0.1076, aux.acc_seg: 89.3123, loss: 0.2915 2024-03-05 01:27:23,910 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 01:27:23,911 - mmseg - INFO - Iter [79000/160000] lr: 1.743e-05, eta: 15:48:52, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1877, decode.acc_seg: 92.0293, aux.loss_ce: 0.1098, aux.acc_seg: 89.1905, loss: 0.2976 2024-03-05 01:27:58,402 - mmseg - INFO - Iter [79050/160000] lr: 1.742e-05, eta: 15:48:16, time: 0.690, data_time: 0.014, memory: 9361, decode.loss_ce: 0.1954, decode.acc_seg: 91.8676, aux.loss_ce: 0.1121, aux.acc_seg: 89.1432, loss: 0.3075 2024-03-05 01:28:32,785 - mmseg - INFO - Iter [79100/160000] lr: 1.741e-05, eta: 15:47:40, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1868, decode.acc_seg: 91.9325, aux.loss_ce: 0.1110, aux.acc_seg: 88.9189, loss: 0.2977 2024-03-05 01:29:07,464 - mmseg - INFO - Iter [79150/160000] lr: 1.740e-05, eta: 15:47:05, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1831, decode.acc_seg: 92.2209, aux.loss_ce: 0.1127, aux.acc_seg: 88.8002, loss: 0.2958 2024-03-05 01:29:41,784 - mmseg - INFO - Iter [79200/160000] lr: 1.739e-05, eta: 15:46:29, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1917, decode.acc_seg: 91.9149, aux.loss_ce: 0.1173, aux.acc_seg: 88.4603, loss: 0.3090 2024-03-05 01:30:16,211 - mmseg - INFO - Iter [79250/160000] lr: 1.738e-05, eta: 15:45:53, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1925, decode.acc_seg: 91.6856, aux.loss_ce: 0.1135, aux.acc_seg: 88.7060, loss: 0.3060 2024-03-05 01:30:50,684 - mmseg - INFO - Iter [79300/160000] lr: 1.737e-05, eta: 15:45:17, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1823, decode.acc_seg: 92.2914, aux.loss_ce: 0.1071, aux.acc_seg: 89.2687, loss: 0.2893 2024-03-05 01:31:25,050 - mmseg - INFO - Iter [79350/160000] lr: 1.736e-05, eta: 15:44:41, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1849, decode.acc_seg: 92.2171, aux.loss_ce: 0.1100, aux.acc_seg: 89.0859, loss: 0.2950 2024-03-05 01:31:59,394 - mmseg - INFO - Iter [79400/160000] lr: 1.735e-05, eta: 15:44:05, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1888, decode.acc_seg: 91.8844, aux.loss_ce: 0.1126, aux.acc_seg: 88.9135, loss: 0.3015 2024-03-05 01:32:33,982 - mmseg - INFO - Iter [79450/160000] lr: 1.734e-05, eta: 15:43:30, time: 0.692, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1817, decode.acc_seg: 92.3567, aux.loss_ce: 0.1096, aux.acc_seg: 89.1331, loss: 0.2913 2024-03-05 01:33:08,382 - mmseg - INFO - Iter [79500/160000] lr: 1.733e-05, eta: 15:42:54, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1791, decode.acc_seg: 92.3998, aux.loss_ce: 0.1089, aux.acc_seg: 89.2372, loss: 0.2880 2024-03-05 01:33:42,842 - mmseg - INFO - Iter [79550/160000] lr: 1.732e-05, eta: 15:42:18, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1904, decode.acc_seg: 91.9602, aux.loss_ce: 0.1108, aux.acc_seg: 89.1508, loss: 0.3012 2024-03-05 01:34:20,283 - mmseg - INFO - Iter [79600/160000] lr: 1.730e-05, eta: 15:41:45, time: 0.749, data_time: 0.057, memory: 9361, decode.loss_ce: 0.1792, decode.acc_seg: 92.3432, aux.loss_ce: 0.1088, aux.acc_seg: 89.1798, loss: 0.2880 2024-03-05 01:34:54,846 - mmseg - INFO - Iter [79650/160000] lr: 1.729e-05, eta: 15:41:09, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1726, decode.acc_seg: 92.6465, aux.loss_ce: 0.1032, aux.acc_seg: 89.5725, loss: 0.2758 2024-03-05 01:35:29,333 - mmseg - INFO - Iter [79700/160000] lr: 1.728e-05, eta: 15:40:34, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1885, decode.acc_seg: 91.9883, aux.loss_ce: 0.1122, aux.acc_seg: 88.7464, loss: 0.3006 2024-03-05 01:36:03,906 - mmseg - INFO - Iter [79750/160000] lr: 1.727e-05, eta: 15:39:58, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1725, decode.acc_seg: 92.5719, aux.loss_ce: 0.1055, aux.acc_seg: 89.3295, loss: 0.2780 2024-03-05 01:36:38,271 - mmseg - INFO - Iter [79800/160000] lr: 1.726e-05, eta: 15:39:22, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1803, decode.acc_seg: 92.2888, aux.loss_ce: 0.1118, aux.acc_seg: 89.0062, loss: 0.2920 2024-03-05 01:37:12,873 - mmseg - INFO - Iter [79850/160000] lr: 1.725e-05, eta: 15:38:46, time: 0.692, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1818, decode.acc_seg: 92.3798, aux.loss_ce: 0.1096, aux.acc_seg: 89.2703, loss: 0.2914 2024-03-05 01:37:47,397 - mmseg - INFO - Iter [79900/160000] lr: 1.724e-05, eta: 15:38:10, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1801, decode.acc_seg: 92.4358, aux.loss_ce: 0.1074, aux.acc_seg: 89.5068, loss: 0.2875 2024-03-05 01:38:21,886 - mmseg - INFO - Iter [79950/160000] lr: 1.723e-05, eta: 15:37:35, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1830, decode.acc_seg: 92.2741, aux.loss_ce: 0.1105, aux.acc_seg: 89.1476, loss: 0.2935 2024-03-05 01:38:56,310 - mmseg - INFO - Saving checkpoint at 80000 iterations 2024-03-05 01:39:35,067 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 01:39:35,067 - mmseg - INFO - Iter [80000/160000] lr: 1.722e-05, eta: 15:37:38, time: 1.464, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1723, decode.acc_seg: 92.6769, aux.loss_ce: 0.1037, aux.acc_seg: 89.7057, loss: 0.2759 2024-03-05 01:42:46,505 - mmseg - INFO - per class results: 2024-03-05 01:42:46,514 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.48 | 88.7 | | building | 82.14 | 90.68 | | sky | 94.31 | 97.5 | | floor | 80.79 | 89.87 | | tree | 74.3 | 89.05 | | ceiling | 82.88 | 93.09 | | road | 84.27 | 91.04 | | bed | 90.29 | 95.18 | | windowpane | 61.3 | 77.86 | | grass | 66.12 | 81.63 | | cabinet | 59.12 | 69.78 | | sidewalk | 65.6 | 81.64 | | person | 81.69 | 92.57 | | earth | 35.51 | 52.0 | | door | 47.14 | 64.52 | | table | 60.2 | 76.69 | | mountain | 54.84 | 67.68 | | plant | 51.67 | 63.48 | | curtain | 74.6 | 84.18 | | chair | 57.32 | 73.6 | | car | 84.03 | 90.77 | | water | 52.85 | 70.05 | | painting | 72.98 | 86.53 | | sofa | 68.36 | 85.71 | | shelf | 41.3 | 61.01 | | house | 41.14 | 50.43 | | sea | 51.12 | 71.13 | | mirror | 65.87 | 73.18 | | rug | 56.77 | 70.74 | | field | 23.1 | 37.17 | | armchair | 40.92 | 54.79 | | seat | 65.81 | 81.48 | | fence | 41.71 | 61.51 | | desk | 50.2 | 67.95 | | rock | 41.93 | 64.77 | | wardrobe | 45.18 | 66.01 | | lamp | 64.96 | 77.35 | | bathtub | 77.45 | 87.85 | | railing | 32.42 | 51.84 | | cushion | 59.88 | 73.56 | | base | 26.02 | 31.46 | | box | 23.47 | 34.29 | | column | 41.23 | 48.62 | | signboard | 35.98 | 49.37 | | chest of drawers | 46.39 | 60.56 | | counter | 35.25 | 48.94 | | sand | 37.11 | 53.46 | | sink | 71.99 | 78.52 | | skyscraper | 56.7 | 75.33 | | fireplace | 72.49 | 86.43 | | refrigerator | 66.93 | 88.21 | | grandstand | 45.06 | 73.9 | | path | 16.01 | 23.79 | | stairs | 31.76 | 39.38 | | runway | 71.06 | 93.18 | | case | 46.38 | 60.54 | | pool table | 92.59 | 95.02 | | pillow | 60.94 | 72.52 | | screen door | 66.33 | 79.82 | | stairway | 30.54 | 35.43 | | river | 8.34 | 15.14 | | bridge | 38.06 | 41.51 | | bookcase | 36.12 | 53.59 | | blind | 46.24 | 50.07 | | coffee table | 56.73 | 79.94 | | toilet | 84.92 | 89.47 | | flower | 34.06 | 48.31 | | book | 45.89 | 64.15 | | hill | 5.53 | 7.36 | | bench | 42.21 | 52.26 | | countertop | 47.91 | 76.8 | | stove | 74.93 | 82.38 | | palm | 49.44 | 67.24 | | kitchen island | 41.46 | 71.6 | | computer | 63.95 | 74.95 | | swivel chair | 42.28 | 61.69 | | boat | 72.74 | 86.21 | | bar | 29.35 | 37.88 | | arcade machine | 37.63 | 39.29 | | hovel | 34.37 | 43.44 | | bus | 82.27 | 97.22 | | towel | 61.51 | 74.48 | | light | 54.8 | 62.89 | | truck | 31.55 | 50.81 | | tower | 32.51 | 53.72 | | chandelier | 64.31 | 83.31 | | awning | 23.95 | 30.3 | | streetlight | 26.94 | 35.04 | | booth | 59.82 | 82.49 | | television receiver | 67.1 | 79.36 | | airplane | 48.74 | 65.72 | | dirt track | 15.21 | 21.67 | | apparel | 40.49 | 61.36 | | pole | 18.09 | 23.2 | | land | 5.84 | 7.77 | | bannister | 11.47 | 14.65 | | escalator | 24.49 | 28.76 | | ottoman | 49.21 | 65.36 | | bottle | 38.46 | 62.76 | | buffet | 30.64 | 35.31 | | poster | 39.6 | 51.16 | | stage | 16.56 | 22.63 | | van | 42.89 | 54.99 | | ship | 82.92 | 91.33 | | fountain | 14.21 | 14.35 | | conveyer belt | 77.19 | 83.46 | | canopy | 27.93 | 33.03 | | washer | 70.48 | 70.86 | | plaything | 19.72 | 28.99 | | swimming pool | 42.18 | 54.89 | | stool | 43.26 | 60.1 | | barrel | 55.53 | 72.91 | | basket | 28.58 | 37.17 | | waterfall | 52.67 | 68.62 | | tent | 87.86 | 98.05 | | bag | 13.63 | 15.69 | | minibike | 74.53 | 84.52 | | cradle | 62.4 | 94.9 | | oven | 55.66 | 69.07 | | ball | 48.93 | 57.66 | | food | 44.51 | 51.46 | | step | 10.29 | 15.23 | | tank | 42.48 | 48.41 | | trade name | 25.34 | 30.88 | | microwave | 55.21 | 59.06 | | pot | 40.87 | 48.4 | | animal | 59.87 | 62.96 | | bicycle | 50.45 | 80.48 | | lake | 43.02 | 59.38 | | dishwasher | 65.14 | 71.64 | | screen | 51.85 | 68.59 | | blanket | 13.22 | 16.08 | | sculpture | 49.07 | 67.22 | | hood | 58.72 | 65.86 | | sconce | 45.38 | 56.73 | | vase | 35.29 | 52.59 | | traffic light | 29.34 | 46.51 | | tray | 6.84 | 17.12 | | ashcan | 38.15 | 53.89 | | fan | 61.56 | 77.35 | | pier | 52.19 | 76.93 | | crt screen | 2.09 | 4.98 | | plate | 47.33 | 64.03 | | monitor | 34.81 | 40.67 | | bulletin board | 43.01 | 58.36 | | shower | 0.98 | 0.98 | | radiator | 59.29 | 62.59 | | glass | 15.28 | 17.73 | | clock | 36.07 | 41.58 | | flag | 32.71 | 35.52 | +---------------------+-------+-------+ 2024-03-05 01:42:46,514 - mmseg - INFO - Summary: 2024-03-05 01:42:46,514 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 82.63 | 48.14 | 60.2 | +-------+-------+------+ 2024-03-05 01:42:46,525 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 01:42:46,541 - mmseg - INFO - Iter(val) [500] aAcc: 0.8263, mIoU: 0.4814, mAcc: 0.6020, IoU.wall: 0.7748, IoU.building: 0.8214, IoU.sky: 0.9431, IoU.floor: 0.8079, IoU.tree: 0.7430, IoU.ceiling: 0.8288, IoU.road: 0.8427, IoU.bed : 0.9029, IoU.windowpane: 0.6130, IoU.grass: 0.6612, IoU.cabinet: 0.5912, IoU.sidewalk: 0.6560, IoU.person: 0.8169, IoU.earth: 0.3551, IoU.door: 0.4714, IoU.table: 0.6020, IoU.mountain: 0.5484, IoU.plant: 0.5167, IoU.curtain: 0.7460, IoU.chair: 0.5732, IoU.car: 0.8403, IoU.water: 0.5285, IoU.painting: 0.7298, IoU.sofa: 0.6836, IoU.shelf: 0.4130, IoU.house: 0.4114, IoU.sea: 0.5112, IoU.mirror: 0.6587, IoU.rug: 0.5677, IoU.field: 0.2310, IoU.armchair: 0.4092, IoU.seat: 0.6581, IoU.fence: 0.4171, IoU.desk: 0.5020, IoU.rock: 0.4193, IoU.wardrobe: 0.4518, IoU.lamp: 0.6496, IoU.bathtub: 0.7745, IoU.railing: 0.3242, IoU.cushion: 0.5988, IoU.base: 0.2602, IoU.box: 0.2347, IoU.column: 0.4123, IoU.signboard: 0.3598, IoU.chest of drawers: 0.4639, IoU.counter: 0.3525, IoU.sand: 0.3711, IoU.sink: 0.7199, IoU.skyscraper: 0.5670, IoU.fireplace: 0.7249, IoU.refrigerator: 0.6693, IoU.grandstand: 0.4506, IoU.path: 0.1601, IoU.stairs: 0.3176, IoU.runway: 0.7106, IoU.case: 0.4638, IoU.pool table: 0.9259, IoU.pillow: 0.6094, IoU.screen door: 0.6633, IoU.stairway: 0.3054, IoU.river: 0.0834, IoU.bridge: 0.3806, IoU.bookcase: 0.3612, IoU.blind: 0.4624, IoU.coffee table: 0.5673, IoU.toilet: 0.8492, IoU.flower: 0.3406, IoU.book: 0.4589, IoU.hill: 0.0553, IoU.bench: 0.4221, IoU.countertop: 0.4791, IoU.stove: 0.7493, IoU.palm: 0.4944, IoU.kitchen island: 0.4146, IoU.computer: 0.6395, IoU.swivel chair: 0.4228, IoU.boat: 0.7274, IoU.bar: 0.2935, IoU.arcade machine: 0.3763, IoU.hovel: 0.3437, IoU.bus: 0.8227, IoU.towel: 0.6151, IoU.light: 0.5480, IoU.truck: 0.3155, IoU.tower: 0.3251, IoU.chandelier: 0.6431, IoU.awning: 0.2395, IoU.streetlight: 0.2694, IoU.booth: 0.5982, IoU.television receiver: 0.6710, IoU.airplane: 0.4874, IoU.dirt track: 0.1521, IoU.apparel: 0.4049, IoU.pole: 0.1809, IoU.land: 0.0584, IoU.bannister: 0.1147, IoU.escalator: 0.2449, IoU.ottoman: 0.4921, IoU.bottle: 0.3846, IoU.buffet: 0.3064, IoU.poster: 0.3960, IoU.stage: 0.1656, IoU.van: 0.4289, IoU.ship: 0.8292, IoU.fountain: 0.1421, IoU.conveyer belt: 0.7719, IoU.canopy: 0.2793, IoU.washer: 0.7048, IoU.plaything: 0.1972, IoU.swimming pool: 0.4218, IoU.stool: 0.4326, IoU.barrel: 0.5553, IoU.basket: 0.2858, IoU.waterfall: 0.5267, IoU.tent: 0.8786, IoU.bag: 0.1363, IoU.minibike: 0.7453, IoU.cradle: 0.6240, IoU.oven: 0.5566, IoU.ball: 0.4893, IoU.food: 0.4451, IoU.step: 0.1029, IoU.tank: 0.4248, IoU.trade name: 0.2534, IoU.microwave: 0.5521, IoU.pot: 0.4087, IoU.animal: 0.5987, IoU.bicycle: 0.5045, IoU.lake: 0.4302, IoU.dishwasher: 0.6514, IoU.screen: 0.5185, IoU.blanket: 0.1322, IoU.sculpture: 0.4907, IoU.hood: 0.5872, IoU.sconce: 0.4538, IoU.vase: 0.3529, IoU.traffic light: 0.2934, IoU.tray: 0.0684, IoU.ashcan: 0.3815, IoU.fan: 0.6156, IoU.pier: 0.5219, IoU.crt screen: 0.0209, IoU.plate: 0.4733, IoU.monitor: 0.3481, IoU.bulletin board: 0.4301, IoU.shower: 0.0098, IoU.radiator: 0.5929, IoU.glass: 0.1528, IoU.clock: 0.3607, IoU.flag: 0.3271, Acc.wall: 0.8870, Acc.building: 0.9068, Acc.sky: 0.9750, Acc.floor: 0.8987, Acc.tree: 0.8905, Acc.ceiling: 0.9309, Acc.road: 0.9104, Acc.bed : 0.9518, Acc.windowpane: 0.7786, Acc.grass: 0.8163, Acc.cabinet: 0.6978, Acc.sidewalk: 0.8164, Acc.person: 0.9257, Acc.earth: 0.5200, Acc.door: 0.6452, Acc.table: 0.7669, Acc.mountain: 0.6768, Acc.plant: 0.6348, Acc.curtain: 0.8418, Acc.chair: 0.7360, Acc.car: 0.9077, Acc.water: 0.7005, Acc.painting: 0.8653, Acc.sofa: 0.8571, Acc.shelf: 0.6101, Acc.house: 0.5043, Acc.sea: 0.7113, Acc.mirror: 0.7318, Acc.rug: 0.7074, Acc.field: 0.3717, Acc.armchair: 0.5479, Acc.seat: 0.8148, Acc.fence: 0.6151, Acc.desk: 0.6795, Acc.rock: 0.6477, Acc.wardrobe: 0.6601, Acc.lamp: 0.7735, Acc.bathtub: 0.8785, Acc.railing: 0.5184, Acc.cushion: 0.7356, Acc.base: 0.3146, Acc.box: 0.3429, Acc.column: 0.4862, Acc.signboard: 0.4937, Acc.chest of drawers: 0.6056, Acc.counter: 0.4894, Acc.sand: 0.5346, Acc.sink: 0.7852, Acc.skyscraper: 0.7533, Acc.fireplace: 0.8643, Acc.refrigerator: 0.8821, Acc.grandstand: 0.7390, Acc.path: 0.2379, Acc.stairs: 0.3938, Acc.runway: 0.9318, Acc.case: 0.6054, Acc.pool table: 0.9502, Acc.pillow: 0.7252, Acc.screen door: 0.7982, Acc.stairway: 0.3543, Acc.river: 0.1514, Acc.bridge: 0.4151, Acc.bookcase: 0.5359, Acc.blind: 0.5007, Acc.coffee table: 0.7994, Acc.toilet: 0.8947, Acc.flower: 0.4831, Acc.book: 0.6415, Acc.hill: 0.0736, Acc.bench: 0.5226, Acc.countertop: 0.7680, Acc.stove: 0.8238, Acc.palm: 0.6724, Acc.kitchen island: 0.7160, Acc.computer: 0.7495, Acc.swivel chair: 0.6169, Acc.boat: 0.8621, Acc.bar: 0.3788, Acc.arcade machine: 0.3929, Acc.hovel: 0.4344, Acc.bus: 0.9722, Acc.towel: 0.7448, Acc.light: 0.6289, Acc.truck: 0.5081, Acc.tower: 0.5372, Acc.chandelier: 0.8331, Acc.awning: 0.3030, Acc.streetlight: 0.3504, Acc.booth: 0.8249, Acc.television receiver: 0.7936, Acc.airplane: 0.6572, Acc.dirt track: 0.2167, Acc.apparel: 0.6136, Acc.pole: 0.2320, Acc.land: 0.0777, Acc.bannister: 0.1465, Acc.escalator: 0.2876, Acc.ottoman: 0.6536, Acc.bottle: 0.6276, Acc.buffet: 0.3531, Acc.poster: 0.5116, Acc.stage: 0.2263, Acc.van: 0.5499, Acc.ship: 0.9133, Acc.fountain: 0.1435, Acc.conveyer belt: 0.8346, Acc.canopy: 0.3303, Acc.washer: 0.7086, Acc.plaything: 0.2899, Acc.swimming pool: 0.5489, Acc.stool: 0.6010, Acc.barrel: 0.7291, Acc.basket: 0.3717, Acc.waterfall: 0.6862, Acc.tent: 0.9805, Acc.bag: 0.1569, Acc.minibike: 0.8452, Acc.cradle: 0.9490, Acc.oven: 0.6907, Acc.ball: 0.5766, Acc.food: 0.5146, Acc.step: 0.1523, Acc.tank: 0.4841, Acc.trade name: 0.3088, Acc.microwave: 0.5906, Acc.pot: 0.4840, Acc.animal: 0.6296, Acc.bicycle: 0.8048, Acc.lake: 0.5938, Acc.dishwasher: 0.7164, Acc.screen: 0.6859, Acc.blanket: 0.1608, Acc.sculpture: 0.6722, Acc.hood: 0.6586, Acc.sconce: 0.5673, Acc.vase: 0.5259, Acc.traffic light: 0.4651, Acc.tray: 0.1712, Acc.ashcan: 0.5389, Acc.fan: 0.7735, Acc.pier: 0.7693, Acc.crt screen: 0.0498, Acc.plate: 0.6403, Acc.monitor: 0.4067, Acc.bulletin board: 0.5836, Acc.shower: 0.0098, Acc.radiator: 0.6259, Acc.glass: 0.1773, Acc.clock: 0.4158, Acc.flag: 0.3552 2024-03-05 01:43:20,764 - mmseg - INFO - Iter [80050/160000] lr: 1.721e-05, eta: 15:40:13, time: 4.514, data_time: 3.838, memory: 9361, decode.loss_ce: 0.1922, decode.acc_seg: 91.9698, aux.loss_ce: 0.1092, aux.acc_seg: 89.1790, loss: 0.3013 2024-03-05 01:43:55,259 - mmseg - INFO - Iter [80100/160000] lr: 1.720e-05, eta: 15:39:37, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1812, decode.acc_seg: 92.4340, aux.loss_ce: 0.1084, aux.acc_seg: 89.4793, loss: 0.2895 2024-03-05 01:44:29,675 - mmseg - INFO - Iter [80150/160000] lr: 1.719e-05, eta: 15:39:00, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1763, decode.acc_seg: 92.4514, aux.loss_ce: 0.1058, aux.acc_seg: 89.3487, loss: 0.2821 2024-03-05 01:45:03,963 - mmseg - INFO - Iter [80200/160000] lr: 1.718e-05, eta: 15:38:24, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1773, decode.acc_seg: 92.4016, aux.loss_ce: 0.1055, aux.acc_seg: 89.6231, loss: 0.2828 2024-03-05 01:45:38,473 - mmseg - INFO - Iter [80250/160000] lr: 1.717e-05, eta: 15:37:48, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1774, decode.acc_seg: 92.5260, aux.loss_ce: 0.1054, aux.acc_seg: 89.4371, loss: 0.2829 2024-03-05 01:46:12,933 - mmseg - INFO - Iter [80300/160000] lr: 1.715e-05, eta: 15:37:12, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1801, decode.acc_seg: 92.3589, aux.loss_ce: 0.1064, aux.acc_seg: 89.4786, loss: 0.2865 2024-03-05 01:46:47,311 - mmseg - INFO - Iter [80350/160000] lr: 1.714e-05, eta: 15:36:36, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1878, decode.acc_seg: 91.9968, aux.loss_ce: 0.1114, aux.acc_seg: 89.1177, loss: 0.2991 2024-03-05 01:47:21,600 - mmseg - INFO - Iter [80400/160000] lr: 1.713e-05, eta: 15:36:00, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1898, decode.acc_seg: 91.9405, aux.loss_ce: 0.1136, aux.acc_seg: 88.7012, loss: 0.3035 2024-03-05 01:47:55,889 - mmseg - INFO - Iter [80450/160000] lr: 1.712e-05, eta: 15:35:23, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1845, decode.acc_seg: 92.0941, aux.loss_ce: 0.1103, aux.acc_seg: 89.3120, loss: 0.2948 2024-03-05 01:48:30,290 - mmseg - INFO - Iter [80500/160000] lr: 1.711e-05, eta: 15:34:47, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1848, decode.acc_seg: 92.1962, aux.loss_ce: 0.1090, aux.acc_seg: 89.2034, loss: 0.2937 2024-03-05 01:49:04,998 - mmseg - INFO - Iter [80550/160000] lr: 1.710e-05, eta: 15:34:11, time: 0.694, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1761, decode.acc_seg: 92.3318, aux.loss_ce: 0.1079, aux.acc_seg: 89.2368, loss: 0.2840 2024-03-05 01:49:39,392 - mmseg - INFO - Iter [80600/160000] lr: 1.709e-05, eta: 15:33:35, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1783, decode.acc_seg: 92.1214, aux.loss_ce: 0.1068, aux.acc_seg: 89.1496, loss: 0.2851 2024-03-05 01:50:13,880 - mmseg - INFO - Iter [80650/160000] lr: 1.708e-05, eta: 15:32:59, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1925, decode.acc_seg: 91.8446, aux.loss_ce: 0.1113, aux.acc_seg: 88.9515, loss: 0.3038 2024-03-05 01:50:48,511 - mmseg - INFO - Iter [80700/160000] lr: 1.707e-05, eta: 15:32:23, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1893, decode.acc_seg: 92.0095, aux.loss_ce: 0.1102, aux.acc_seg: 89.1887, loss: 0.2995 2024-03-05 01:51:22,894 - mmseg - INFO - Iter [80750/160000] lr: 1.706e-05, eta: 15:31:47, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1800, decode.acc_seg: 92.2511, aux.loss_ce: 0.1041, aux.acc_seg: 89.5115, loss: 0.2841 2024-03-05 01:51:57,334 - mmseg - INFO - Iter [80800/160000] lr: 1.705e-05, eta: 15:31:11, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1809, decode.acc_seg: 92.3421, aux.loss_ce: 0.1108, aux.acc_seg: 89.0212, loss: 0.2917 2024-03-05 01:52:34,640 - mmseg - INFO - Iter [80850/160000] lr: 1.704e-05, eta: 15:30:38, time: 0.746, data_time: 0.063, memory: 9361, decode.loss_ce: 0.1762, decode.acc_seg: 92.5737, aux.loss_ce: 0.1033, aux.acc_seg: 89.8948, loss: 0.2796 2024-03-05 01:53:09,064 - mmseg - INFO - Iter [80900/160000] lr: 1.703e-05, eta: 15:30:02, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1837, decode.acc_seg: 92.0817, aux.loss_ce: 0.1087, aux.acc_seg: 89.1837, loss: 0.2924 2024-03-05 01:53:43,357 - mmseg - INFO - Iter [80950/160000] lr: 1.701e-05, eta: 15:29:25, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1804, decode.acc_seg: 92.5753, aux.loss_ce: 0.1073, aux.acc_seg: 89.4853, loss: 0.2877 2024-03-05 01:54:17,785 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 01:54:17,785 - mmseg - INFO - Iter [81000/160000] lr: 1.700e-05, eta: 15:28:49, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1788, decode.acc_seg: 92.4614, aux.loss_ce: 0.1104, aux.acc_seg: 89.3001, loss: 0.2892 2024-03-05 01:54:52,153 - mmseg - INFO - Iter [81050/160000] lr: 1.699e-05, eta: 15:28:13, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1683, decode.acc_seg: 92.7101, aux.loss_ce: 0.1029, aux.acc_seg: 89.7320, loss: 0.2713 2024-03-05 01:55:26,672 - mmseg - INFO - Iter [81100/160000] lr: 1.698e-05, eta: 15:27:37, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1728, decode.acc_seg: 92.7614, aux.loss_ce: 0.1045, aux.acc_seg: 89.8190, loss: 0.2773 2024-03-05 01:56:01,230 - mmseg - INFO - Iter [81150/160000] lr: 1.697e-05, eta: 15:27:01, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1813, decode.acc_seg: 92.3860, aux.loss_ce: 0.1095, aux.acc_seg: 89.1928, loss: 0.2908 2024-03-05 01:56:35,879 - mmseg - INFO - Iter [81200/160000] lr: 1.696e-05, eta: 15:26:25, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1746, decode.acc_seg: 92.5285, aux.loss_ce: 0.1066, aux.acc_seg: 89.4582, loss: 0.2812 2024-03-05 01:57:10,582 - mmseg - INFO - Iter [81250/160000] lr: 1.695e-05, eta: 15:25:50, time: 0.694, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1814, decode.acc_seg: 92.1121, aux.loss_ce: 0.1073, aux.acc_seg: 89.2328, loss: 0.2887 2024-03-05 01:57:45,075 - mmseg - INFO - Iter [81300/160000] lr: 1.694e-05, eta: 15:25:14, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.2065, decode.acc_seg: 91.8265, aux.loss_ce: 0.1185, aux.acc_seg: 88.5126, loss: 0.3250 2024-03-05 01:58:19,826 - mmseg - INFO - Iter [81350/160000] lr: 1.693e-05, eta: 15:24:38, time: 0.695, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1806, decode.acc_seg: 92.2566, aux.loss_ce: 0.1073, aux.acc_seg: 89.3776, loss: 0.2879 2024-03-05 01:58:54,332 - mmseg - INFO - Iter [81400/160000] lr: 1.692e-05, eta: 15:24:02, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1869, decode.acc_seg: 91.8829, aux.loss_ce: 0.1151, aux.acc_seg: 88.6090, loss: 0.3021 2024-03-05 01:59:28,757 - mmseg - INFO - Iter [81450/160000] lr: 1.691e-05, eta: 15:23:26, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1805, decode.acc_seg: 92.5016, aux.loss_ce: 0.1079, aux.acc_seg: 89.4929, loss: 0.2884 2024-03-05 02:00:03,231 - mmseg - INFO - Iter [81500/160000] lr: 1.690e-05, eta: 15:22:50, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1782, decode.acc_seg: 92.3679, aux.loss_ce: 0.1087, aux.acc_seg: 89.1984, loss: 0.2869 2024-03-05 02:00:37,449 - mmseg - INFO - Iter [81550/160000] lr: 1.689e-05, eta: 15:22:13, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1792, decode.acc_seg: 92.5668, aux.loss_ce: 0.1088, aux.acc_seg: 89.5215, loss: 0.2880 2024-03-05 02:01:11,953 - mmseg - INFO - Iter [81600/160000] lr: 1.687e-05, eta: 15:21:37, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1853, decode.acc_seg: 92.1360, aux.loss_ce: 0.1079, aux.acc_seg: 89.5063, loss: 0.2933 2024-03-05 02:01:46,053 - mmseg - INFO - Iter [81650/160000] lr: 1.686e-05, eta: 15:21:01, time: 0.682, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1857, decode.acc_seg: 92.1144, aux.loss_ce: 0.1107, aux.acc_seg: 89.1456, loss: 0.2964 2024-03-05 02:02:20,292 - mmseg - INFO - Iter [81700/160000] lr: 1.685e-05, eta: 15:20:25, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1897, decode.acc_seg: 92.2388, aux.loss_ce: 0.1102, aux.acc_seg: 89.3687, loss: 0.2999 2024-03-05 02:02:54,711 - mmseg - INFO - Iter [81750/160000] lr: 1.684e-05, eta: 15:19:49, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1964, decode.acc_seg: 91.6808, aux.loss_ce: 0.1197, aux.acc_seg: 88.0458, loss: 0.3161 2024-03-05 02:03:28,981 - mmseg - INFO - Iter [81800/160000] lr: 1.683e-05, eta: 15:19:12, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1707, decode.acc_seg: 92.8143, aux.loss_ce: 0.1062, aux.acc_seg: 89.3301, loss: 0.2769 2024-03-05 02:04:03,172 - mmseg - INFO - Iter [81850/160000] lr: 1.682e-05, eta: 15:18:36, time: 0.684, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1748, decode.acc_seg: 92.4651, aux.loss_ce: 0.1047, aux.acc_seg: 89.3858, loss: 0.2795 2024-03-05 02:04:37,622 - mmseg - INFO - Iter [81900/160000] lr: 1.681e-05, eta: 15:18:00, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1867, decode.acc_seg: 91.9759, aux.loss_ce: 0.1102, aux.acc_seg: 89.1569, loss: 0.2969 2024-03-05 02:05:12,245 - mmseg - INFO - Iter [81950/160000] lr: 1.680e-05, eta: 15:17:24, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1762, decode.acc_seg: 92.4384, aux.loss_ce: 0.1059, aux.acc_seg: 89.3688, loss: 0.2821 2024-03-05 02:05:46,593 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 02:05:46,594 - mmseg - INFO - Iter [82000/160000] lr: 1.679e-05, eta: 15:16:48, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1806, decode.acc_seg: 92.3165, aux.loss_ce: 0.1085, aux.acc_seg: 89.3406, loss: 0.2891 2024-03-05 02:06:21,084 - mmseg - INFO - Iter [82050/160000] lr: 1.678e-05, eta: 15:16:12, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1802, decode.acc_seg: 92.1627, aux.loss_ce: 0.1088, aux.acc_seg: 89.4017, loss: 0.2889 2024-03-05 02:06:58,362 - mmseg - INFO - Iter [82100/160000] lr: 1.677e-05, eta: 15:15:39, time: 0.746, data_time: 0.061, memory: 9361, decode.loss_ce: 0.1756, decode.acc_seg: 92.6021, aux.loss_ce: 0.1016, aux.acc_seg: 89.8433, loss: 0.2773 2024-03-05 02:07:32,815 - mmseg - INFO - Iter [82150/160000] lr: 1.676e-05, eta: 15:15:03, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1675, decode.acc_seg: 92.8314, aux.loss_ce: 0.1009, aux.acc_seg: 89.9793, loss: 0.2683 2024-03-05 02:08:07,278 - mmseg - INFO - Iter [82200/160000] lr: 1.675e-05, eta: 15:14:27, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1817, decode.acc_seg: 92.1277, aux.loss_ce: 0.1121, aux.acc_seg: 88.8731, loss: 0.2937 2024-03-05 02:08:41,730 - mmseg - INFO - Iter [82250/160000] lr: 1.673e-05, eta: 15:13:51, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1670, decode.acc_seg: 92.7798, aux.loss_ce: 0.0989, aux.acc_seg: 90.0844, loss: 0.2659 2024-03-05 02:09:16,182 - mmseg - INFO - Iter [82300/160000] lr: 1.672e-05, eta: 15:13:15, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1679, decode.acc_seg: 92.8199, aux.loss_ce: 0.1010, aux.acc_seg: 89.8550, loss: 0.2688 2024-03-05 02:09:50,710 - mmseg - INFO - Iter [82350/160000] lr: 1.671e-05, eta: 15:12:39, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1717, decode.acc_seg: 92.5458, aux.loss_ce: 0.1055, aux.acc_seg: 89.3290, loss: 0.2772 2024-03-05 02:10:25,189 - mmseg - INFO - Iter [82400/160000] lr: 1.670e-05, eta: 15:12:03, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1678, decode.acc_seg: 92.8211, aux.loss_ce: 0.1024, aux.acc_seg: 89.7480, loss: 0.2701 2024-03-05 02:10:59,698 - mmseg - INFO - Iter [82450/160000] lr: 1.669e-05, eta: 15:11:27, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1633, decode.acc_seg: 92.7996, aux.loss_ce: 0.1011, aux.acc_seg: 89.7176, loss: 0.2644 2024-03-05 02:11:34,386 - mmseg - INFO - Iter [82500/160000] lr: 1.668e-05, eta: 15:10:51, time: 0.694, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1698, decode.acc_seg: 92.7618, aux.loss_ce: 0.1024, aux.acc_seg: 89.8251, loss: 0.2723 2024-03-05 02:12:08,840 - mmseg - INFO - Iter [82550/160000] lr: 1.667e-05, eta: 15:10:15, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1872, decode.acc_seg: 92.1735, aux.loss_ce: 0.1075, aux.acc_seg: 89.2196, loss: 0.2948 2024-03-05 02:12:43,288 - mmseg - INFO - Iter [82600/160000] lr: 1.666e-05, eta: 15:09:39, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1745, decode.acc_seg: 92.5556, aux.loss_ce: 0.1021, aux.acc_seg: 89.8288, loss: 0.2767 2024-03-05 02:13:17,714 - mmseg - INFO - Iter [82650/160000] lr: 1.665e-05, eta: 15:09:03, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1857, decode.acc_seg: 92.0752, aux.loss_ce: 0.1075, aux.acc_seg: 89.2443, loss: 0.2932 2024-03-05 02:13:52,249 - mmseg - INFO - Iter [82700/160000] lr: 1.664e-05, eta: 15:08:27, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1730, decode.acc_seg: 92.5888, aux.loss_ce: 0.1013, aux.acc_seg: 89.8668, loss: 0.2743 2024-03-05 02:14:26,682 - mmseg - INFO - Iter [82750/160000] lr: 1.663e-05, eta: 15:07:51, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1834, decode.acc_seg: 92.2399, aux.loss_ce: 0.1115, aux.acc_seg: 89.0195, loss: 0.2949 2024-03-05 02:15:01,139 - mmseg - INFO - Iter [82800/160000] lr: 1.662e-05, eta: 15:07:15, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1850, decode.acc_seg: 92.0326, aux.loss_ce: 0.1128, aux.acc_seg: 88.8373, loss: 0.2978 2024-03-05 02:15:35,720 - mmseg - INFO - Iter [82850/160000] lr: 1.661e-05, eta: 15:06:39, time: 0.692, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1794, decode.acc_seg: 92.3373, aux.loss_ce: 0.1057, aux.acc_seg: 89.5373, loss: 0.2852 2024-03-05 02:16:10,155 - mmseg - INFO - Iter [82900/160000] lr: 1.659e-05, eta: 15:06:03, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1781, decode.acc_seg: 92.4060, aux.loss_ce: 0.1095, aux.acc_seg: 89.2548, loss: 0.2875 2024-03-05 02:16:44,693 - mmseg - INFO - Iter [82950/160000] lr: 1.658e-05, eta: 15:05:27, time: 0.691, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1815, decode.acc_seg: 92.2927, aux.loss_ce: 0.1067, aux.acc_seg: 89.5640, loss: 0.2882 2024-03-05 02:17:19,098 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 02:17:19,099 - mmseg - INFO - Iter [83000/160000] lr: 1.657e-05, eta: 15:04:51, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1852, decode.acc_seg: 92.0503, aux.loss_ce: 0.1133, aux.acc_seg: 88.7217, loss: 0.2984 2024-03-05 02:17:53,667 - mmseg - INFO - Iter [83050/160000] lr: 1.656e-05, eta: 15:04:15, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1870, decode.acc_seg: 92.0551, aux.loss_ce: 0.1117, aux.acc_seg: 88.9510, loss: 0.2987 2024-03-05 02:18:27,996 - mmseg - INFO - Iter [83100/160000] lr: 1.655e-05, eta: 15:03:39, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1802, decode.acc_seg: 92.3012, aux.loss_ce: 0.1122, aux.acc_seg: 88.8274, loss: 0.2923 2024-03-05 02:19:02,366 - mmseg - INFO - Iter [83150/160000] lr: 1.654e-05, eta: 15:03:03, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1779, decode.acc_seg: 92.2365, aux.loss_ce: 0.1061, aux.acc_seg: 89.2179, loss: 0.2841 2024-03-05 02:19:36,781 - mmseg - INFO - Iter [83200/160000] lr: 1.653e-05, eta: 15:02:27, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1758, decode.acc_seg: 92.3052, aux.loss_ce: 0.1050, aux.acc_seg: 89.3368, loss: 0.2808 2024-03-05 02:20:11,250 - mmseg - INFO - Iter [83250/160000] lr: 1.652e-05, eta: 15:01:51, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1844, decode.acc_seg: 92.3173, aux.loss_ce: 0.1112, aux.acc_seg: 89.1729, loss: 0.2956 2024-03-05 02:20:45,601 - mmseg - INFO - Iter [83300/160000] lr: 1.651e-05, eta: 15:01:15, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1870, decode.acc_seg: 91.9683, aux.loss_ce: 0.1078, aux.acc_seg: 89.1645, loss: 0.2949 2024-03-05 02:21:20,086 - mmseg - INFO - Iter [83350/160000] lr: 1.650e-05, eta: 15:00:39, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1874, decode.acc_seg: 92.1081, aux.loss_ce: 0.1132, aux.acc_seg: 88.9697, loss: 0.3006 2024-03-05 02:21:57,365 - mmseg - INFO - Iter [83400/160000] lr: 1.649e-05, eta: 15:00:06, time: 0.746, data_time: 0.064, memory: 9361, decode.loss_ce: 0.1773, decode.acc_seg: 92.4318, aux.loss_ce: 0.1078, aux.acc_seg: 89.2522, loss: 0.2851 2024-03-05 02:22:31,696 - mmseg - INFO - Iter [83450/160000] lr: 1.648e-05, eta: 14:59:29, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1864, decode.acc_seg: 92.1584, aux.loss_ce: 0.1103, aux.acc_seg: 89.1646, loss: 0.2967 2024-03-05 02:23:05,986 - mmseg - INFO - Iter [83500/160000] lr: 1.647e-05, eta: 14:58:53, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1717, decode.acc_seg: 92.6564, aux.loss_ce: 0.1056, aux.acc_seg: 89.4391, loss: 0.2773 2024-03-05 02:23:40,298 - mmseg - INFO - Iter [83550/160000] lr: 1.645e-05, eta: 14:58:17, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1718, decode.acc_seg: 92.5338, aux.loss_ce: 0.1044, aux.acc_seg: 89.5231, loss: 0.2762 2024-03-05 02:24:14,631 - mmseg - INFO - Iter [83600/160000] lr: 1.644e-05, eta: 14:57:41, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1773, decode.acc_seg: 92.4601, aux.loss_ce: 0.1086, aux.acc_seg: 89.5068, loss: 0.2859 2024-03-05 02:24:49,135 - mmseg - INFO - Iter [83650/160000] lr: 1.643e-05, eta: 14:57:05, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1728, decode.acc_seg: 92.5880, aux.loss_ce: 0.1032, aux.acc_seg: 89.6388, loss: 0.2761 2024-03-05 02:25:23,694 - mmseg - INFO - Iter [83700/160000] lr: 1.642e-05, eta: 14:56:29, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1828, decode.acc_seg: 92.3321, aux.loss_ce: 0.1071, aux.acc_seg: 89.5462, loss: 0.2900 2024-03-05 02:25:58,375 - mmseg - INFO - Iter [83750/160000] lr: 1.641e-05, eta: 14:55:54, time: 0.694, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1742, decode.acc_seg: 92.4054, aux.loss_ce: 0.1060, aux.acc_seg: 89.2350, loss: 0.2802 2024-03-05 02:26:32,848 - mmseg - INFO - Iter [83800/160000] lr: 1.640e-05, eta: 14:55:18, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1640, decode.acc_seg: 92.8344, aux.loss_ce: 0.1003, aux.acc_seg: 89.7832, loss: 0.2643 2024-03-05 02:27:07,446 - mmseg - INFO - Iter [83850/160000] lr: 1.639e-05, eta: 14:54:42, time: 0.692, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1651, decode.acc_seg: 92.9852, aux.loss_ce: 0.0986, aux.acc_seg: 90.2653, loss: 0.2637 2024-03-05 02:27:42,069 - mmseg - INFO - Iter [83900/160000] lr: 1.638e-05, eta: 14:54:06, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1727, decode.acc_seg: 92.6735, aux.loss_ce: 0.1035, aux.acc_seg: 89.9400, loss: 0.2762 2024-03-05 02:28:16,573 - mmseg - INFO - Iter [83950/160000] lr: 1.637e-05, eta: 14:53:30, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1729, decode.acc_seg: 92.5854, aux.loss_ce: 0.1051, aux.acc_seg: 89.6510, loss: 0.2780 2024-03-05 02:28:50,968 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 02:28:50,968 - mmseg - INFO - Iter [84000/160000] lr: 1.636e-05, eta: 14:52:54, time: 0.688, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1793, decode.acc_seg: 92.3870, aux.loss_ce: 0.1070, aux.acc_seg: 89.6191, loss: 0.2863 2024-03-05 02:29:25,516 - mmseg - INFO - Iter [84050/160000] lr: 1.635e-05, eta: 14:52:18, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1850, decode.acc_seg: 92.2502, aux.loss_ce: 0.1100, aux.acc_seg: 89.0377, loss: 0.2950 2024-03-05 02:30:00,114 - mmseg - INFO - Iter [84100/160000] lr: 1.634e-05, eta: 14:51:42, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1723, decode.acc_seg: 92.5575, aux.loss_ce: 0.1066, aux.acc_seg: 89.3039, loss: 0.2790 2024-03-05 02:30:34,610 - mmseg - INFO - Iter [84150/160000] lr: 1.633e-05, eta: 14:51:06, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1698, decode.acc_seg: 92.8938, aux.loss_ce: 0.1049, aux.acc_seg: 89.7923, loss: 0.2748 2024-03-05 02:31:09,024 - mmseg - INFO - Iter [84200/160000] lr: 1.631e-05, eta: 14:50:30, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1830, decode.acc_seg: 92.1260, aux.loss_ce: 0.1100, aux.acc_seg: 89.0633, loss: 0.2931 2024-03-05 02:31:43,507 - mmseg - INFO - Iter [84250/160000] lr: 1.630e-05, eta: 14:49:54, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1756, decode.acc_seg: 92.4199, aux.loss_ce: 0.1060, aux.acc_seg: 89.4834, loss: 0.2816 2024-03-05 02:32:17,853 - mmseg - INFO - Iter [84300/160000] lr: 1.629e-05, eta: 14:49:18, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1718, decode.acc_seg: 92.5815, aux.loss_ce: 0.0987, aux.acc_seg: 90.0355, loss: 0.2705 2024-03-05 02:32:52,308 - mmseg - INFO - Iter [84350/160000] lr: 1.628e-05, eta: 14:48:42, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1840, decode.acc_seg: 92.2527, aux.loss_ce: 0.1100, aux.acc_seg: 89.3584, loss: 0.2941 2024-03-05 02:33:26,705 - mmseg - INFO - Iter [84400/160000] lr: 1.627e-05, eta: 14:48:06, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1819, decode.acc_seg: 92.2842, aux.loss_ce: 0.1096, aux.acc_seg: 89.0601, loss: 0.2914 2024-03-05 02:34:01,245 - mmseg - INFO - Iter [84450/160000] lr: 1.626e-05, eta: 14:47:31, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1752, decode.acc_seg: 92.5035, aux.loss_ce: 0.1049, aux.acc_seg: 89.4938, loss: 0.2801 2024-03-05 02:34:35,595 - mmseg - INFO - Iter [84500/160000] lr: 1.625e-05, eta: 14:46:55, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1756, decode.acc_seg: 92.2927, aux.loss_ce: 0.1062, aux.acc_seg: 89.2050, loss: 0.2818 2024-03-05 02:35:10,063 - mmseg - INFO - Iter [84550/160000] lr: 1.624e-05, eta: 14:46:19, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1779, decode.acc_seg: 92.6177, aux.loss_ce: 0.1116, aux.acc_seg: 89.1870, loss: 0.2895 2024-03-05 02:35:44,459 - mmseg - INFO - Iter [84600/160000] lr: 1.623e-05, eta: 14:45:43, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1684, decode.acc_seg: 92.9065, aux.loss_ce: 0.1037, aux.acc_seg: 89.6879, loss: 0.2721 2024-03-05 02:36:21,829 - mmseg - INFO - Iter [84650/160000] lr: 1.622e-05, eta: 14:45:09, time: 0.747, data_time: 0.056, memory: 9361, decode.loss_ce: 0.1687, decode.acc_seg: 92.7704, aux.loss_ce: 0.1052, aux.acc_seg: 89.5803, loss: 0.2739 2024-03-05 02:36:56,284 - mmseg - INFO - Iter [84700/160000] lr: 1.621e-05, eta: 14:44:33, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1656, decode.acc_seg: 93.0133, aux.loss_ce: 0.0987, aux.acc_seg: 90.3973, loss: 0.2643 2024-03-05 02:37:30,646 - mmseg - INFO - Iter [84750/160000] lr: 1.620e-05, eta: 14:43:57, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1791, decode.acc_seg: 92.2829, aux.loss_ce: 0.1048, aux.acc_seg: 89.5596, loss: 0.2839 2024-03-05 02:38:04,964 - mmseg - INFO - Iter [84800/160000] lr: 1.619e-05, eta: 14:43:21, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1694, decode.acc_seg: 92.6069, aux.loss_ce: 0.1030, aux.acc_seg: 89.5626, loss: 0.2725 2024-03-05 02:38:39,362 - mmseg - INFO - Iter [84850/160000] lr: 1.618e-05, eta: 14:42:45, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1596, decode.acc_seg: 93.1816, aux.loss_ce: 0.0974, aux.acc_seg: 90.4435, loss: 0.2570 2024-03-05 02:39:13,707 - mmseg - INFO - Iter [84900/160000] lr: 1.616e-05, eta: 14:42:09, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1743, decode.acc_seg: 92.4323, aux.loss_ce: 0.1030, aux.acc_seg: 89.5686, loss: 0.2773 2024-03-05 02:39:48,139 - mmseg - INFO - Iter [84950/160000] lr: 1.615e-05, eta: 14:41:33, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1777, decode.acc_seg: 92.4810, aux.loss_ce: 0.1038, aux.acc_seg: 89.7133, loss: 0.2815 2024-03-05 02:40:22,540 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 02:40:22,540 - mmseg - INFO - Iter [85000/160000] lr: 1.614e-05, eta: 14:40:57, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1757, decode.acc_seg: 92.6732, aux.loss_ce: 0.1023, aux.acc_seg: 89.9548, loss: 0.2779 2024-03-05 02:40:57,164 - mmseg - INFO - Iter [85050/160000] lr: 1.613e-05, eta: 14:40:22, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1543, decode.acc_seg: 93.3331, aux.loss_ce: 0.0930, aux.acc_seg: 90.5986, loss: 0.2473 2024-03-05 02:41:31,394 - mmseg - INFO - Iter [85100/160000] lr: 1.612e-05, eta: 14:39:45, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1670, decode.acc_seg: 92.9555, aux.loss_ce: 0.1042, aux.acc_seg: 89.7379, loss: 0.2711 2024-03-05 02:42:05,714 - mmseg - INFO - Iter [85150/160000] lr: 1.611e-05, eta: 14:39:09, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1698, decode.acc_seg: 92.7106, aux.loss_ce: 0.1007, aux.acc_seg: 89.9463, loss: 0.2704 2024-03-05 02:42:40,223 - mmseg - INFO - Iter [85200/160000] lr: 1.610e-05, eta: 14:38:33, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1690, decode.acc_seg: 92.7871, aux.loss_ce: 0.1018, aux.acc_seg: 89.7861, loss: 0.2709 2024-03-05 02:43:14,441 - mmseg - INFO - Iter [85250/160000] lr: 1.609e-05, eta: 14:37:57, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1697, decode.acc_seg: 92.7753, aux.loss_ce: 0.1013, aux.acc_seg: 89.9711, loss: 0.2710 2024-03-05 02:43:48,586 - mmseg - INFO - Iter [85300/160000] lr: 1.608e-05, eta: 14:37:21, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1642, decode.acc_seg: 93.1165, aux.loss_ce: 0.0982, aux.acc_seg: 90.5134, loss: 0.2625 2024-03-05 02:44:23,006 - mmseg - INFO - Iter [85350/160000] lr: 1.607e-05, eta: 14:36:45, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1618, decode.acc_seg: 93.1059, aux.loss_ce: 0.0991, aux.acc_seg: 90.1507, loss: 0.2609 2024-03-05 02:44:57,447 - mmseg - INFO - Iter [85400/160000] lr: 1.606e-05, eta: 14:36:09, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1770, decode.acc_seg: 92.4084, aux.loss_ce: 0.1036, aux.acc_seg: 89.7212, loss: 0.2806 2024-03-05 02:45:31,972 - mmseg - INFO - Iter [85450/160000] lr: 1.605e-05, eta: 14:35:33, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1819, decode.acc_seg: 92.2867, aux.loss_ce: 0.1058, aux.acc_seg: 89.5402, loss: 0.2878 2024-03-05 02:46:06,520 - mmseg - INFO - Iter [85500/160000] lr: 1.604e-05, eta: 14:34:58, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1770, decode.acc_seg: 92.3482, aux.loss_ce: 0.1082, aux.acc_seg: 89.0396, loss: 0.2852 2024-03-05 02:46:40,958 - mmseg - INFO - Iter [85550/160000] lr: 1.602e-05, eta: 14:34:22, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1658, decode.acc_seg: 92.8531, aux.loss_ce: 0.1043, aux.acc_seg: 89.5313, loss: 0.2702 2024-03-05 02:47:15,528 - mmseg - INFO - Iter [85600/160000] lr: 1.601e-05, eta: 14:33:46, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1735, decode.acc_seg: 92.5050, aux.loss_ce: 0.1015, aux.acc_seg: 89.6675, loss: 0.2750 2024-03-05 02:47:50,086 - mmseg - INFO - Iter [85650/160000] lr: 1.600e-05, eta: 14:33:10, time: 0.691, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1797, decode.acc_seg: 92.2670, aux.loss_ce: 0.1059, aux.acc_seg: 89.3869, loss: 0.2857 2024-03-05 02:48:24,485 - mmseg - INFO - Iter [85700/160000] lr: 1.599e-05, eta: 14:32:34, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1791, decode.acc_seg: 92.3055, aux.loss_ce: 0.1076, aux.acc_seg: 89.3297, loss: 0.2867 2024-03-05 02:48:58,994 - mmseg - INFO - Iter [85750/160000] lr: 1.598e-05, eta: 14:31:58, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1749, decode.acc_seg: 92.3291, aux.loss_ce: 0.1061, aux.acc_seg: 89.2707, loss: 0.2811 2024-03-05 02:49:33,443 - mmseg - INFO - Iter [85800/160000] lr: 1.597e-05, eta: 14:31:22, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1780, decode.acc_seg: 92.2584, aux.loss_ce: 0.1054, aux.acc_seg: 89.4651, loss: 0.2834 2024-03-05 02:50:07,804 - mmseg - INFO - Iter [85850/160000] lr: 1.596e-05, eta: 14:30:46, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1829, decode.acc_seg: 92.1788, aux.loss_ce: 0.1081, aux.acc_seg: 89.2631, loss: 0.2910 2024-03-05 02:50:45,234 - mmseg - INFO - Iter [85900/160000] lr: 1.595e-05, eta: 14:30:13, time: 0.749, data_time: 0.061, memory: 9361, decode.loss_ce: 0.1776, decode.acc_seg: 92.2788, aux.loss_ce: 0.1060, aux.acc_seg: 89.4485, loss: 0.2836 2024-03-05 02:51:19,718 - mmseg - INFO - Iter [85950/160000] lr: 1.594e-05, eta: 14:29:37, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1652, decode.acc_seg: 92.9170, aux.loss_ce: 0.0959, aux.acc_seg: 90.3103, loss: 0.2611 2024-03-05 02:51:54,057 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 02:51:54,058 - mmseg - INFO - Iter [86000/160000] lr: 1.593e-05, eta: 14:29:01, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1724, decode.acc_seg: 92.7376, aux.loss_ce: 0.1028, aux.acc_seg: 89.8317, loss: 0.2752 2024-03-05 02:52:28,437 - mmseg - INFO - Iter [86050/160000] lr: 1.592e-05, eta: 14:28:25, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1767, decode.acc_seg: 92.6376, aux.loss_ce: 0.1058, aux.acc_seg: 89.6795, loss: 0.2824 2024-03-05 02:53:02,845 - mmseg - INFO - Iter [86100/160000] lr: 1.591e-05, eta: 14:27:49, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1812, decode.acc_seg: 92.0341, aux.loss_ce: 0.1088, aux.acc_seg: 88.9823, loss: 0.2900 2024-03-05 02:53:37,139 - mmseg - INFO - Iter [86150/160000] lr: 1.590e-05, eta: 14:27:13, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1757, decode.acc_seg: 92.3201, aux.loss_ce: 0.1063, aux.acc_seg: 89.2266, loss: 0.2820 2024-03-05 02:54:11,600 - mmseg - INFO - Iter [86200/160000] lr: 1.588e-05, eta: 14:26:37, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1906, decode.acc_seg: 92.1866, aux.loss_ce: 0.1075, aux.acc_seg: 89.5268, loss: 0.2981 2024-03-05 02:54:45,964 - mmseg - INFO - Iter [86250/160000] lr: 1.587e-05, eta: 14:26:01, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1942, decode.acc_seg: 91.8563, aux.loss_ce: 0.1130, aux.acc_seg: 88.6867, loss: 0.3072 2024-03-05 02:55:20,389 - mmseg - INFO - Iter [86300/160000] lr: 1.586e-05, eta: 14:25:25, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1921, decode.acc_seg: 91.8341, aux.loss_ce: 0.1123, aux.acc_seg: 88.8599, loss: 0.3044 2024-03-05 02:55:54,856 - mmseg - INFO - Iter [86350/160000] lr: 1.585e-05, eta: 14:24:50, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1776, decode.acc_seg: 92.2780, aux.loss_ce: 0.1068, aux.acc_seg: 89.1227, loss: 0.2844 2024-03-05 02:56:29,155 - mmseg - INFO - Iter [86400/160000] lr: 1.584e-05, eta: 14:24:14, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1814, decode.acc_seg: 92.2077, aux.loss_ce: 0.1081, aux.acc_seg: 89.3745, loss: 0.2895 2024-03-05 02:57:03,659 - mmseg - INFO - Iter [86450/160000] lr: 1.583e-05, eta: 14:23:38, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1722, decode.acc_seg: 92.4772, aux.loss_ce: 0.1039, aux.acc_seg: 89.5682, loss: 0.2762 2024-03-05 02:57:38,115 - mmseg - INFO - Iter [86500/160000] lr: 1.582e-05, eta: 14:23:02, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1817, decode.acc_seg: 92.2051, aux.loss_ce: 0.1084, aux.acc_seg: 89.2297, loss: 0.2901 2024-03-05 02:58:12,375 - mmseg - INFO - Iter [86550/160000] lr: 1.581e-05, eta: 14:22:26, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1709, decode.acc_seg: 92.4280, aux.loss_ce: 0.1040, aux.acc_seg: 89.3768, loss: 0.2749 2024-03-05 02:58:46,606 - mmseg - INFO - Iter [86600/160000] lr: 1.580e-05, eta: 14:21:50, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1800, decode.acc_seg: 92.3099, aux.loss_ce: 0.1066, aux.acc_seg: 89.4753, loss: 0.2866 2024-03-05 02:59:21,143 - mmseg - INFO - Iter [86650/160000] lr: 1.579e-05, eta: 14:21:14, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1820, decode.acc_seg: 92.0840, aux.loss_ce: 0.1129, aux.acc_seg: 88.8967, loss: 0.2948 2024-03-05 02:59:55,596 - mmseg - INFO - Iter [86700/160000] lr: 1.578e-05, eta: 14:20:38, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1696, decode.acc_seg: 92.6368, aux.loss_ce: 0.1003, aux.acc_seg: 89.8067, loss: 0.2699 2024-03-05 03:00:30,199 - mmseg - INFO - Iter [86750/160000] lr: 1.577e-05, eta: 14:20:02, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1826, decode.acc_seg: 92.2070, aux.loss_ce: 0.1105, aux.acc_seg: 89.0531, loss: 0.2931 2024-03-05 03:01:04,826 - mmseg - INFO - Iter [86800/160000] lr: 1.576e-05, eta: 14:19:27, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1730, decode.acc_seg: 92.6278, aux.loss_ce: 0.1005, aux.acc_seg: 90.0887, loss: 0.2735 2024-03-05 03:01:39,120 - mmseg - INFO - Iter [86850/160000] lr: 1.574e-05, eta: 14:18:50, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1757, decode.acc_seg: 92.5139, aux.loss_ce: 0.1018, aux.acc_seg: 89.8370, loss: 0.2776 2024-03-05 03:02:13,599 - mmseg - INFO - Iter [86900/160000] lr: 1.573e-05, eta: 14:18:15, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1786, decode.acc_seg: 92.2325, aux.loss_ce: 0.1036, aux.acc_seg: 89.5816, loss: 0.2822 2024-03-05 03:02:48,052 - mmseg - INFO - Iter [86950/160000] lr: 1.572e-05, eta: 14:17:39, time: 0.689, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1785, decode.acc_seg: 92.5563, aux.loss_ce: 0.1095, aux.acc_seg: 89.3702, loss: 0.2880 2024-03-05 03:03:22,319 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 03:03:22,320 - mmseg - INFO - Iter [87000/160000] lr: 1.571e-05, eta: 14:17:03, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1682, decode.acc_seg: 92.8444, aux.loss_ce: 0.1006, aux.acc_seg: 90.0339, loss: 0.2688 2024-03-05 03:03:56,819 - mmseg - INFO - Iter [87050/160000] lr: 1.570e-05, eta: 14:16:27, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1771, decode.acc_seg: 92.5397, aux.loss_ce: 0.1060, aux.acc_seg: 89.6890, loss: 0.2831 2024-03-05 03:04:31,486 - mmseg - INFO - Iter [87100/160000] lr: 1.569e-05, eta: 14:15:51, time: 0.693, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1746, decode.acc_seg: 92.5095, aux.loss_ce: 0.1036, aux.acc_seg: 89.5094, loss: 0.2781 2024-03-05 03:05:08,913 - mmseg - INFO - Iter [87150/160000] lr: 1.568e-05, eta: 14:15:18, time: 0.749, data_time: 0.060, memory: 9361, decode.loss_ce: 0.1648, decode.acc_seg: 93.0163, aux.loss_ce: 0.0994, aux.acc_seg: 90.1558, loss: 0.2642 2024-03-05 03:05:43,304 - mmseg - INFO - Iter [87200/160000] lr: 1.567e-05, eta: 14:14:42, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1706, decode.acc_seg: 92.7186, aux.loss_ce: 0.1018, aux.acc_seg: 89.8787, loss: 0.2724 2024-03-05 03:06:17,650 - mmseg - INFO - Iter [87250/160000] lr: 1.566e-05, eta: 14:14:06, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1609, decode.acc_seg: 93.0274, aux.loss_ce: 0.0986, aux.acc_seg: 90.1975, loss: 0.2595 2024-03-05 03:06:52,104 - mmseg - INFO - Iter [87300/160000] lr: 1.565e-05, eta: 14:13:30, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1735, decode.acc_seg: 92.5607, aux.loss_ce: 0.1027, aux.acc_seg: 89.9029, loss: 0.2762 2024-03-05 03:07:26,648 - mmseg - INFO - Iter [87350/160000] lr: 1.564e-05, eta: 14:12:54, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1659, decode.acc_seg: 92.9177, aux.loss_ce: 0.0973, aux.acc_seg: 90.2982, loss: 0.2632 2024-03-05 03:08:01,303 - mmseg - INFO - Iter [87400/160000] lr: 1.563e-05, eta: 14:12:19, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1770, decode.acc_seg: 92.6159, aux.loss_ce: 0.1051, aux.acc_seg: 89.6331, loss: 0.2821 2024-03-05 03:08:35,709 - mmseg - INFO - Iter [87450/160000] lr: 1.562e-05, eta: 14:11:43, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1755, decode.acc_seg: 92.5013, aux.loss_ce: 0.1061, aux.acc_seg: 89.3172, loss: 0.2816 2024-03-05 03:09:10,275 - mmseg - INFO - Iter [87500/160000] lr: 1.560e-05, eta: 14:11:07, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1726, decode.acc_seg: 92.7520, aux.loss_ce: 0.1031, aux.acc_seg: 89.9210, loss: 0.2757 2024-03-05 03:09:44,517 - mmseg - INFO - Iter [87550/160000] lr: 1.559e-05, eta: 14:10:31, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1694, decode.acc_seg: 92.8955, aux.loss_ce: 0.1019, aux.acc_seg: 90.0108, loss: 0.2713 2024-03-05 03:10:18,904 - mmseg - INFO - Iter [87600/160000] lr: 1.558e-05, eta: 14:09:55, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1646, decode.acc_seg: 93.0189, aux.loss_ce: 0.1018, aux.acc_seg: 89.8960, loss: 0.2664 2024-03-05 03:10:53,471 - mmseg - INFO - Iter [87650/160000] lr: 1.557e-05, eta: 14:09:19, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1760, decode.acc_seg: 92.6140, aux.loss_ce: 0.1041, aux.acc_seg: 89.6398, loss: 0.2801 2024-03-05 03:11:27,976 - mmseg - INFO - Iter [87700/160000] lr: 1.556e-05, eta: 14:08:44, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1703, decode.acc_seg: 92.8060, aux.loss_ce: 0.1059, aux.acc_seg: 89.8023, loss: 0.2762 2024-03-05 03:12:02,409 - mmseg - INFO - Iter [87750/160000] lr: 1.555e-05, eta: 14:08:08, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1757, decode.acc_seg: 92.5820, aux.loss_ce: 0.1049, aux.acc_seg: 89.8198, loss: 0.2806 2024-03-05 03:12:36,747 - mmseg - INFO - Iter [87800/160000] lr: 1.554e-05, eta: 14:07:32, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1733, decode.acc_seg: 92.5560, aux.loss_ce: 0.1059, aux.acc_seg: 89.4775, loss: 0.2792 2024-03-05 03:13:11,141 - mmseg - INFO - Iter [87850/160000] lr: 1.553e-05, eta: 14:06:56, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1765, decode.acc_seg: 92.5212, aux.loss_ce: 0.1037, aux.acc_seg: 89.6096, loss: 0.2802 2024-03-05 03:13:45,720 - mmseg - INFO - Iter [87900/160000] lr: 1.552e-05, eta: 14:06:20, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1793, decode.acc_seg: 92.2336, aux.loss_ce: 0.1131, aux.acc_seg: 88.7633, loss: 0.2924 2024-03-05 03:14:20,172 - mmseg - INFO - Iter [87950/160000] lr: 1.551e-05, eta: 14:05:44, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1771, decode.acc_seg: 92.3855, aux.loss_ce: 0.1070, aux.acc_seg: 89.2114, loss: 0.2841 2024-03-05 03:14:54,722 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 03:14:54,723 - mmseg - INFO - Iter [88000/160000] lr: 1.550e-05, eta: 14:05:08, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1899, decode.acc_seg: 91.8449, aux.loss_ce: 0.1108, aux.acc_seg: 88.9126, loss: 0.3007 2024-03-05 03:15:29,305 - mmseg - INFO - Iter [88050/160000] lr: 1.549e-05, eta: 14:04:33, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1763, decode.acc_seg: 92.3262, aux.loss_ce: 0.1060, aux.acc_seg: 89.3383, loss: 0.2823 2024-03-05 03:16:03,938 - mmseg - INFO - Iter [88100/160000] lr: 1.548e-05, eta: 14:03:57, time: 0.693, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1781, decode.acc_seg: 92.2472, aux.loss_ce: 0.1086, aux.acc_seg: 88.9744, loss: 0.2867 2024-03-05 03:16:38,298 - mmseg - INFO - Iter [88150/160000] lr: 1.546e-05, eta: 14:03:21, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1738, decode.acc_seg: 92.5038, aux.loss_ce: 0.1034, aux.acc_seg: 89.6090, loss: 0.2772 2024-03-05 03:17:12,820 - mmseg - INFO - Iter [88200/160000] lr: 1.545e-05, eta: 14:02:45, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1768, decode.acc_seg: 92.6032, aux.loss_ce: 0.1035, aux.acc_seg: 89.8994, loss: 0.2803 2024-03-05 03:17:47,253 - mmseg - INFO - Iter [88250/160000] lr: 1.544e-05, eta: 14:02:10, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1761, decode.acc_seg: 92.4412, aux.loss_ce: 0.1068, aux.acc_seg: 89.4195, loss: 0.2829 2024-03-05 03:18:21,731 - mmseg - INFO - Iter [88300/160000] lr: 1.543e-05, eta: 14:01:34, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1636, decode.acc_seg: 93.0831, aux.loss_ce: 0.0989, aux.acc_seg: 90.1035, loss: 0.2625 2024-03-05 03:18:56,189 - mmseg - INFO - Iter [88350/160000] lr: 1.542e-05, eta: 14:00:58, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1700, decode.acc_seg: 92.7019, aux.loss_ce: 0.1038, aux.acc_seg: 89.7054, loss: 0.2739 2024-03-05 03:19:30,665 - mmseg - INFO - Iter [88400/160000] lr: 1.541e-05, eta: 14:00:22, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1654, decode.acc_seg: 92.7206, aux.loss_ce: 0.1015, aux.acc_seg: 89.7143, loss: 0.2670 2024-03-05 03:20:08,318 - mmseg - INFO - Iter [88450/160000] lr: 1.540e-05, eta: 13:59:49, time: 0.753, data_time: 0.062, memory: 9361, decode.loss_ce: 0.1621, decode.acc_seg: 92.9920, aux.loss_ce: 0.1016, aux.acc_seg: 89.8295, loss: 0.2638 2024-03-05 03:20:42,788 - mmseg - INFO - Iter [88500/160000] lr: 1.539e-05, eta: 13:59:13, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1712, decode.acc_seg: 92.6763, aux.loss_ce: 0.1023, aux.acc_seg: 89.8692, loss: 0.2735 2024-03-05 03:21:17,232 - mmseg - INFO - Iter [88550/160000] lr: 1.538e-05, eta: 13:58:37, time: 0.689, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1685, decode.acc_seg: 92.6538, aux.loss_ce: 0.1014, aux.acc_seg: 89.6862, loss: 0.2699 2024-03-05 03:21:51,568 - mmseg - INFO - Iter [88600/160000] lr: 1.537e-05, eta: 13:58:01, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1709, decode.acc_seg: 92.7676, aux.loss_ce: 0.0994, aux.acc_seg: 89.9335, loss: 0.2703 2024-03-05 03:22:26,009 - mmseg - INFO - Iter [88650/160000] lr: 1.536e-05, eta: 13:57:25, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1762, decode.acc_seg: 92.5027, aux.loss_ce: 0.1033, aux.acc_seg: 89.7110, loss: 0.2795 2024-03-05 03:23:00,597 - mmseg - INFO - Iter [88700/160000] lr: 1.535e-05, eta: 13:56:50, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1696, decode.acc_seg: 92.7427, aux.loss_ce: 0.1029, aux.acc_seg: 89.6947, loss: 0.2725 2024-03-05 03:23:35,132 - mmseg - INFO - Iter [88750/160000] lr: 1.534e-05, eta: 13:56:14, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1886, decode.acc_seg: 92.2077, aux.loss_ce: 0.1105, aux.acc_seg: 89.3216, loss: 0.2991 2024-03-05 03:24:09,502 - mmseg - INFO - Iter [88800/160000] lr: 1.532e-05, eta: 13:55:38, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1773, decode.acc_seg: 92.6037, aux.loss_ce: 0.1062, aux.acc_seg: 89.7414, loss: 0.2836 2024-03-05 03:24:44,213 - mmseg - INFO - Iter [88850/160000] lr: 1.531e-05, eta: 13:55:02, time: 0.695, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1744, decode.acc_seg: 92.6203, aux.loss_ce: 0.1060, aux.acc_seg: 89.4304, loss: 0.2804 2024-03-05 03:25:18,692 - mmseg - INFO - Iter [88900/160000] lr: 1.530e-05, eta: 13:54:27, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1624, decode.acc_seg: 93.0124, aux.loss_ce: 0.0999, aux.acc_seg: 89.9997, loss: 0.2623 2024-03-05 03:25:53,174 - mmseg - INFO - Iter [88950/160000] lr: 1.529e-05, eta: 13:53:51, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1709, decode.acc_seg: 92.6672, aux.loss_ce: 0.1049, aux.acc_seg: 89.5243, loss: 0.2758 2024-03-05 03:26:27,424 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 03:26:27,424 - mmseg - INFO - Iter [89000/160000] lr: 1.528e-05, eta: 13:53:15, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1774, decode.acc_seg: 92.2895, aux.loss_ce: 0.1076, aux.acc_seg: 89.2283, loss: 0.2850 2024-03-05 03:27:02,110 - mmseg - INFO - Iter [89050/160000] lr: 1.527e-05, eta: 13:52:39, time: 0.694, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1773, decode.acc_seg: 92.5068, aux.loss_ce: 0.1069, aux.acc_seg: 89.3582, loss: 0.2842 2024-03-05 03:27:36,539 - mmseg - INFO - Iter [89100/160000] lr: 1.526e-05, eta: 13:52:03, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1725, decode.acc_seg: 92.6119, aux.loss_ce: 0.1057, aux.acc_seg: 89.6456, loss: 0.2782 2024-03-05 03:28:10,992 - mmseg - INFO - Iter [89150/160000] lr: 1.525e-05, eta: 13:51:28, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1731, decode.acc_seg: 92.4809, aux.loss_ce: 0.1057, aux.acc_seg: 89.3928, loss: 0.2788 2024-03-05 03:28:45,343 - mmseg - INFO - Iter [89200/160000] lr: 1.524e-05, eta: 13:50:52, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1691, decode.acc_seg: 92.7018, aux.loss_ce: 0.0997, aux.acc_seg: 89.9485, loss: 0.2688 2024-03-05 03:29:19,758 - mmseg - INFO - Iter [89250/160000] lr: 1.523e-05, eta: 13:50:16, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1947, decode.acc_seg: 91.8822, aux.loss_ce: 0.1120, aux.acc_seg: 88.9710, loss: 0.3067 2024-03-05 03:29:54,087 - mmseg - INFO - Iter [89300/160000] lr: 1.522e-05, eta: 13:49:40, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1854, decode.acc_seg: 92.1747, aux.loss_ce: 0.1123, aux.acc_seg: 88.9567, loss: 0.2977 2024-03-05 03:30:28,261 - mmseg - INFO - Iter [89350/160000] lr: 1.521e-05, eta: 13:49:04, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1641, decode.acc_seg: 92.9445, aux.loss_ce: 0.0966, aux.acc_seg: 90.5137, loss: 0.2607 2024-03-05 03:31:02,812 - mmseg - INFO - Iter [89400/160000] lr: 1.520e-05, eta: 13:48:28, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1611, decode.acc_seg: 92.9867, aux.loss_ce: 0.0975, aux.acc_seg: 90.1858, loss: 0.2585 2024-03-05 03:31:37,266 - mmseg - INFO - Iter [89450/160000] lr: 1.518e-05, eta: 13:47:53, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1675, decode.acc_seg: 92.6482, aux.loss_ce: 0.1026, aux.acc_seg: 89.4577, loss: 0.2702 2024-03-05 03:32:11,772 - mmseg - INFO - Iter [89500/160000] lr: 1.517e-05, eta: 13:47:17, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1714, decode.acc_seg: 92.5508, aux.loss_ce: 0.1005, aux.acc_seg: 89.9613, loss: 0.2719 2024-03-05 03:32:46,119 - mmseg - INFO - Iter [89550/160000] lr: 1.516e-05, eta: 13:46:41, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1675, decode.acc_seg: 92.9862, aux.loss_ce: 0.1080, aux.acc_seg: 89.4778, loss: 0.2755 2024-03-05 03:33:20,424 - mmseg - INFO - Iter [89600/160000] lr: 1.515e-05, eta: 13:46:05, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1713, decode.acc_seg: 92.6689, aux.loss_ce: 0.1053, aux.acc_seg: 89.6000, loss: 0.2766 2024-03-05 03:33:54,682 - mmseg - INFO - Iter [89650/160000] lr: 1.514e-05, eta: 13:45:29, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1588, decode.acc_seg: 93.1695, aux.loss_ce: 0.0955, aux.acc_seg: 90.4382, loss: 0.2543 2024-03-05 03:34:32,050 - mmseg - INFO - Iter [89700/160000] lr: 1.513e-05, eta: 13:44:56, time: 0.747, data_time: 0.058, memory: 9361, decode.loss_ce: 0.1708, decode.acc_seg: 92.8317, aux.loss_ce: 0.1019, aux.acc_seg: 89.9569, loss: 0.2727 2024-03-05 03:35:06,508 - mmseg - INFO - Iter [89750/160000] lr: 1.512e-05, eta: 13:44:20, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1631, decode.acc_seg: 93.0609, aux.loss_ce: 0.0999, aux.acc_seg: 89.8722, loss: 0.2630 2024-03-05 03:35:41,204 - mmseg - INFO - Iter [89800/160000] lr: 1.511e-05, eta: 13:43:44, time: 0.694, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1645, decode.acc_seg: 92.9281, aux.loss_ce: 0.0976, aux.acc_seg: 90.2587, loss: 0.2621 2024-03-05 03:36:15,681 - mmseg - INFO - Iter [89850/160000] lr: 1.510e-05, eta: 13:43:08, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1699, decode.acc_seg: 92.7905, aux.loss_ce: 0.0986, aux.acc_seg: 90.0490, loss: 0.2685 2024-03-05 03:36:50,032 - mmseg - INFO - Iter [89900/160000] lr: 1.509e-05, eta: 13:42:32, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1623, decode.acc_seg: 92.8409, aux.loss_ce: 0.0981, aux.acc_seg: 90.1331, loss: 0.2604 2024-03-05 03:37:24,357 - mmseg - INFO - Iter [89950/160000] lr: 1.508e-05, eta: 13:41:57, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1668, decode.acc_seg: 92.8529, aux.loss_ce: 0.0982, aux.acc_seg: 90.0650, loss: 0.2651 2024-03-05 03:37:58,853 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 03:37:58,854 - mmseg - INFO - Iter [90000/160000] lr: 1.507e-05, eta: 13:41:21, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1652, decode.acc_seg: 92.8553, aux.loss_ce: 0.0991, aux.acc_seg: 89.9926, loss: 0.2643 2024-03-05 03:38:33,292 - mmseg - INFO - Iter [90050/160000] lr: 1.506e-05, eta: 13:40:45, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1633, decode.acc_seg: 93.0887, aux.loss_ce: 0.0994, aux.acc_seg: 90.1291, loss: 0.2627 2024-03-05 03:39:07,559 - mmseg - INFO - Iter [90100/160000] lr: 1.505e-05, eta: 13:40:09, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1797, decode.acc_seg: 92.3903, aux.loss_ce: 0.1080, aux.acc_seg: 89.2222, loss: 0.2878 2024-03-05 03:39:42,111 - mmseg - INFO - Iter [90150/160000] lr: 1.503e-05, eta: 13:39:33, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1619, decode.acc_seg: 93.0369, aux.loss_ce: 0.0955, aux.acc_seg: 90.3940, loss: 0.2574 2024-03-05 03:40:16,451 - mmseg - INFO - Iter [90200/160000] lr: 1.502e-05, eta: 13:38:58, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1686, decode.acc_seg: 92.6941, aux.loss_ce: 0.1001, aux.acc_seg: 89.9484, loss: 0.2687 2024-03-05 03:40:50,976 - mmseg - INFO - Iter [90250/160000] lr: 1.501e-05, eta: 13:38:22, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1685, decode.acc_seg: 92.6334, aux.loss_ce: 0.1014, aux.acc_seg: 89.5388, loss: 0.2699 2024-03-05 03:41:25,470 - mmseg - INFO - Iter [90300/160000] lr: 1.500e-05, eta: 13:37:46, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1642, decode.acc_seg: 92.7356, aux.loss_ce: 0.0991, aux.acc_seg: 89.7229, loss: 0.2633 2024-03-05 03:42:00,035 - mmseg - INFO - Iter [90350/160000] lr: 1.499e-05, eta: 13:37:10, time: 0.691, data_time: 0.014, memory: 9361, decode.loss_ce: 0.1607, decode.acc_seg: 93.0530, aux.loss_ce: 0.0961, aux.acc_seg: 90.3207, loss: 0.2567 2024-03-05 03:42:34,259 - mmseg - INFO - Iter [90400/160000] lr: 1.498e-05, eta: 13:36:34, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1500, decode.acc_seg: 93.3858, aux.loss_ce: 0.0956, aux.acc_seg: 90.2636, loss: 0.2456 2024-03-05 03:43:08,646 - mmseg - INFO - Iter [90450/160000] lr: 1.497e-05, eta: 13:35:59, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1722, decode.acc_seg: 92.4746, aux.loss_ce: 0.1016, aux.acc_seg: 89.8047, loss: 0.2738 2024-03-05 03:43:43,182 - mmseg - INFO - Iter [90500/160000] lr: 1.496e-05, eta: 13:35:23, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1757, decode.acc_seg: 92.6118, aux.loss_ce: 0.1049, aux.acc_seg: 89.6438, loss: 0.2806 2024-03-05 03:44:17,640 - mmseg - INFO - Iter [90550/160000] lr: 1.495e-05, eta: 13:34:47, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1567, decode.acc_seg: 93.1578, aux.loss_ce: 0.0945, aux.acc_seg: 90.3423, loss: 0.2512 2024-03-05 03:44:52,107 - mmseg - INFO - Iter [90600/160000] lr: 1.494e-05, eta: 13:34:11, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1753, decode.acc_seg: 92.7317, aux.loss_ce: 0.1032, aux.acc_seg: 89.7915, loss: 0.2785 2024-03-05 03:45:26,627 - mmseg - INFO - Iter [90650/160000] lr: 1.493e-05, eta: 13:33:36, time: 0.690, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1651, decode.acc_seg: 92.9321, aux.loss_ce: 0.1006, aux.acc_seg: 90.0383, loss: 0.2657 2024-03-05 03:46:01,045 - mmseg - INFO - Iter [90700/160000] lr: 1.492e-05, eta: 13:33:00, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1687, decode.acc_seg: 92.8355, aux.loss_ce: 0.1026, aux.acc_seg: 89.8774, loss: 0.2714 2024-03-05 03:46:35,431 - mmseg - INFO - Iter [90750/160000] lr: 1.491e-05, eta: 13:32:24, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1671, decode.acc_seg: 92.8136, aux.loss_ce: 0.0996, aux.acc_seg: 90.0358, loss: 0.2667 2024-03-05 03:47:09,885 - mmseg - INFO - Iter [90800/160000] lr: 1.489e-05, eta: 13:31:48, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1619, decode.acc_seg: 93.0714, aux.loss_ce: 0.0983, aux.acc_seg: 90.1448, loss: 0.2602 2024-03-05 03:47:44,340 - mmseg - INFO - Iter [90850/160000] lr: 1.488e-05, eta: 13:31:13, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1658, decode.acc_seg: 92.9646, aux.loss_ce: 0.1006, aux.acc_seg: 89.9260, loss: 0.2664 2024-03-05 03:48:18,721 - mmseg - INFO - Iter [90900/160000] lr: 1.487e-05, eta: 13:30:37, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1661, decode.acc_seg: 92.9733, aux.loss_ce: 0.1049, aux.acc_seg: 89.7001, loss: 0.2711 2024-03-05 03:48:56,059 - mmseg - INFO - Iter [90950/160000] lr: 1.486e-05, eta: 13:30:03, time: 0.747, data_time: 0.056, memory: 9361, decode.loss_ce: 0.1642, decode.acc_seg: 92.9030, aux.loss_ce: 0.0977, aux.acc_seg: 90.1523, loss: 0.2619 2024-03-05 03:49:30,640 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 03:49:30,641 - mmseg - INFO - Iter [91000/160000] lr: 1.485e-05, eta: 13:29:28, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1713, decode.acc_seg: 92.7637, aux.loss_ce: 0.1011, aux.acc_seg: 89.8495, loss: 0.2724 2024-03-05 03:50:05,140 - mmseg - INFO - Iter [91050/160000] lr: 1.484e-05, eta: 13:28:52, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1605, decode.acc_seg: 93.0867, aux.loss_ce: 0.0978, aux.acc_seg: 90.1192, loss: 0.2583 2024-03-05 03:50:39,529 - mmseg - INFO - Iter [91100/160000] lr: 1.483e-05, eta: 13:28:16, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1652, decode.acc_seg: 92.8103, aux.loss_ce: 0.1011, aux.acc_seg: 89.8292, loss: 0.2664 2024-03-05 03:51:14,035 - mmseg - INFO - Iter [91150/160000] lr: 1.482e-05, eta: 13:27:40, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1573, decode.acc_seg: 93.1442, aux.loss_ce: 0.0960, aux.acc_seg: 90.1280, loss: 0.2533 2024-03-05 03:51:48,438 - mmseg - INFO - Iter [91200/160000] lr: 1.481e-05, eta: 13:27:05, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1669, decode.acc_seg: 92.9023, aux.loss_ce: 0.0973, aux.acc_seg: 90.3950, loss: 0.2642 2024-03-05 03:52:22,827 - mmseg - INFO - Iter [91250/160000] lr: 1.480e-05, eta: 13:26:29, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1571, decode.acc_seg: 93.3024, aux.loss_ce: 0.0950, aux.acc_seg: 90.5605, loss: 0.2521 2024-03-05 03:52:57,194 - mmseg - INFO - Iter [91300/160000] lr: 1.479e-05, eta: 13:25:53, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1710, decode.acc_seg: 92.6351, aux.loss_ce: 0.1084, aux.acc_seg: 89.3303, loss: 0.2795 2024-03-05 03:53:31,647 - mmseg - INFO - Iter [91350/160000] lr: 1.478e-05, eta: 13:25:17, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1604, decode.acc_seg: 93.1876, aux.loss_ce: 0.1007, aux.acc_seg: 90.1268, loss: 0.2611 2024-03-05 03:54:06,028 - mmseg - INFO - Iter [91400/160000] lr: 1.477e-05, eta: 13:24:41, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1644, decode.acc_seg: 92.7911, aux.loss_ce: 0.1061, aux.acc_seg: 89.3790, loss: 0.2705 2024-03-05 03:54:40,339 - mmseg - INFO - Iter [91450/160000] lr: 1.475e-05, eta: 13:24:06, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1545, decode.acc_seg: 93.3706, aux.loss_ce: 0.0955, aux.acc_seg: 90.4823, loss: 0.2500 2024-03-05 03:55:14,574 - mmseg - INFO - Iter [91500/160000] lr: 1.474e-05, eta: 13:23:30, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1682, decode.acc_seg: 92.9562, aux.loss_ce: 0.1011, aux.acc_seg: 90.0426, loss: 0.2692 2024-03-05 03:55:48,864 - mmseg - INFO - Iter [91550/160000] lr: 1.473e-05, eta: 13:22:54, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1612, decode.acc_seg: 92.9416, aux.loss_ce: 0.1010, aux.acc_seg: 89.7931, loss: 0.2622 2024-03-05 03:56:23,149 - mmseg - INFO - Iter [91600/160000] lr: 1.472e-05, eta: 13:22:18, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1656, decode.acc_seg: 92.5642, aux.loss_ce: 0.1001, aux.acc_seg: 89.7094, loss: 0.2657 2024-03-05 03:56:57,400 - mmseg - INFO - Iter [91650/160000] lr: 1.471e-05, eta: 13:21:42, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1716, decode.acc_seg: 92.6740, aux.loss_ce: 0.1067, aux.acc_seg: 89.4163, loss: 0.2784 2024-03-05 03:57:31,869 - mmseg - INFO - Iter [91700/160000] lr: 1.470e-05, eta: 13:21:06, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1730, decode.acc_seg: 92.5589, aux.loss_ce: 0.1011, aux.acc_seg: 89.8271, loss: 0.2741 2024-03-05 03:58:06,126 - mmseg - INFO - Iter [91750/160000] lr: 1.469e-05, eta: 13:20:30, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1700, decode.acc_seg: 92.6456, aux.loss_ce: 0.1023, aux.acc_seg: 89.8253, loss: 0.2723 2024-03-05 03:58:40,508 - mmseg - INFO - Iter [91800/160000] lr: 1.468e-05, eta: 13:19:55, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1596, decode.acc_seg: 93.0792, aux.loss_ce: 0.0974, aux.acc_seg: 90.1438, loss: 0.2569 2024-03-05 03:59:14,891 - mmseg - INFO - Iter [91850/160000] lr: 1.467e-05, eta: 13:19:19, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1665, decode.acc_seg: 92.9506, aux.loss_ce: 0.0950, aux.acc_seg: 90.6347, loss: 0.2614 2024-03-05 03:59:49,332 - mmseg - INFO - Iter [91900/160000] lr: 1.466e-05, eta: 13:18:43, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1670, decode.acc_seg: 92.9512, aux.loss_ce: 0.1011, aux.acc_seg: 90.0118, loss: 0.2681 2024-03-05 04:00:23,849 - mmseg - INFO - Iter [91950/160000] lr: 1.465e-05, eta: 13:18:07, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1633, decode.acc_seg: 93.0612, aux.loss_ce: 0.0989, aux.acc_seg: 90.3321, loss: 0.2623 2024-03-05 04:00:58,423 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 04:00:58,423 - mmseg - INFO - Iter [92000/160000] lr: 1.464e-05, eta: 13:17:32, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1649, decode.acc_seg: 92.8940, aux.loss_ce: 0.0997, aux.acc_seg: 90.1270, loss: 0.2646 2024-03-05 04:01:32,874 - mmseg - INFO - Iter [92050/160000] lr: 1.463e-05, eta: 13:16:56, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1706, decode.acc_seg: 92.6265, aux.loss_ce: 0.0997, aux.acc_seg: 89.9287, loss: 0.2703 2024-03-05 04:02:07,345 - mmseg - INFO - Iter [92100/160000] lr: 1.461e-05, eta: 13:16:20, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1658, decode.acc_seg: 92.8761, aux.loss_ce: 0.1012, aux.acc_seg: 89.9439, loss: 0.2670 2024-03-05 04:02:41,912 - mmseg - INFO - Iter [92150/160000] lr: 1.460e-05, eta: 13:15:45, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1740, decode.acc_seg: 92.5504, aux.loss_ce: 0.0998, aux.acc_seg: 89.9355, loss: 0.2738 2024-03-05 04:03:19,373 - mmseg - INFO - Iter [92200/160000] lr: 1.459e-05, eta: 13:15:11, time: 0.749, data_time: 0.057, memory: 9361, decode.loss_ce: 0.1709, decode.acc_seg: 92.7221, aux.loss_ce: 0.1017, aux.acc_seg: 89.9485, loss: 0.2726 2024-03-05 04:03:53,776 - mmseg - INFO - Iter [92250/160000] lr: 1.458e-05, eta: 13:14:35, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1708, decode.acc_seg: 92.7806, aux.loss_ce: 0.1019, aux.acc_seg: 89.9147, loss: 0.2727 2024-03-05 04:04:28,174 - mmseg - INFO - Iter [92300/160000] lr: 1.457e-05, eta: 13:14:00, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1668, decode.acc_seg: 92.7698, aux.loss_ce: 0.1013, aux.acc_seg: 89.8039, loss: 0.2680 2024-03-05 04:05:02,557 - mmseg - INFO - Iter [92350/160000] lr: 1.456e-05, eta: 13:13:24, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1595, decode.acc_seg: 93.2552, aux.loss_ce: 0.0969, aux.acc_seg: 90.3694, loss: 0.2564 2024-03-05 04:05:36,734 - mmseg - INFO - Iter [92400/160000] lr: 1.455e-05, eta: 13:12:48, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1591, decode.acc_seg: 92.9143, aux.loss_ce: 0.0986, aux.acc_seg: 89.8943, loss: 0.2577 2024-03-05 04:06:11,432 - mmseg - INFO - Iter [92450/160000] lr: 1.454e-05, eta: 13:12:12, time: 0.694, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1609, decode.acc_seg: 93.0880, aux.loss_ce: 0.0975, aux.acc_seg: 90.3087, loss: 0.2584 2024-03-05 04:06:45,701 - mmseg - INFO - Iter [92500/160000] lr: 1.453e-05, eta: 13:11:37, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1658, decode.acc_seg: 92.9059, aux.loss_ce: 0.1063, aux.acc_seg: 89.6686, loss: 0.2721 2024-03-05 04:07:20,130 - mmseg - INFO - Iter [92550/160000] lr: 1.452e-05, eta: 13:11:01, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1662, decode.acc_seg: 92.8456, aux.loss_ce: 0.1041, aux.acc_seg: 89.7851, loss: 0.2702 2024-03-05 04:07:54,524 - mmseg - INFO - Iter [92600/160000] lr: 1.451e-05, eta: 13:10:25, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1619, decode.acc_seg: 92.9719, aux.loss_ce: 0.0968, aux.acc_seg: 90.3234, loss: 0.2587 2024-03-05 04:08:28,717 - mmseg - INFO - Iter [92650/160000] lr: 1.450e-05, eta: 13:09:49, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1611, decode.acc_seg: 92.9450, aux.loss_ce: 0.1007, aux.acc_seg: 89.8340, loss: 0.2618 2024-03-05 04:09:02,995 - mmseg - INFO - Iter [92700/160000] lr: 1.449e-05, eta: 13:09:13, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1698, decode.acc_seg: 92.9164, aux.loss_ce: 0.0989, aux.acc_seg: 90.2932, loss: 0.2687 2024-03-05 04:09:37,339 - mmseg - INFO - Iter [92750/160000] lr: 1.447e-05, eta: 13:08:38, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1719, decode.acc_seg: 92.7394, aux.loss_ce: 0.1007, aux.acc_seg: 90.0540, loss: 0.2727 2024-03-05 04:10:11,957 - mmseg - INFO - Iter [92800/160000] lr: 1.446e-05, eta: 13:08:02, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1775, decode.acc_seg: 92.4590, aux.loss_ce: 0.1041, aux.acc_seg: 89.7019, loss: 0.2816 2024-03-05 04:10:46,311 - mmseg - INFO - Iter [92850/160000] lr: 1.445e-05, eta: 13:07:26, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1691, decode.acc_seg: 92.7688, aux.loss_ce: 0.0988, aux.acc_seg: 90.1084, loss: 0.2679 2024-03-05 04:11:20,524 - mmseg - INFO - Iter [92900/160000] lr: 1.444e-05, eta: 13:06:50, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1793, decode.acc_seg: 92.3283, aux.loss_ce: 0.1078, aux.acc_seg: 89.2341, loss: 0.2871 2024-03-05 04:11:54,922 - mmseg - INFO - Iter [92950/160000] lr: 1.443e-05, eta: 13:06:15, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1696, decode.acc_seg: 92.7472, aux.loss_ce: 0.1000, aux.acc_seg: 89.9210, loss: 0.2695 2024-03-05 04:12:29,537 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 04:12:29,538 - mmseg - INFO - Iter [93000/160000] lr: 1.442e-05, eta: 13:05:39, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1642, decode.acc_seg: 92.9754, aux.loss_ce: 0.1034, aux.acc_seg: 89.8778, loss: 0.2675 2024-03-05 04:13:03,976 - mmseg - INFO - Iter [93050/160000] lr: 1.441e-05, eta: 13:05:03, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1602, decode.acc_seg: 93.0515, aux.loss_ce: 0.0955, aux.acc_seg: 90.4173, loss: 0.2557 2024-03-05 04:13:38,514 - mmseg - INFO - Iter [93100/160000] lr: 1.440e-05, eta: 13:04:28, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1635, decode.acc_seg: 93.0413, aux.loss_ce: 0.0975, aux.acc_seg: 90.4199, loss: 0.2610 2024-03-05 04:14:12,870 - mmseg - INFO - Iter [93150/160000] lr: 1.439e-05, eta: 13:03:52, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1716, decode.acc_seg: 92.7991, aux.loss_ce: 0.1030, aux.acc_seg: 89.8829, loss: 0.2747 2024-03-05 04:14:47,174 - mmseg - INFO - Iter [93200/160000] lr: 1.438e-05, eta: 13:03:16, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1680, decode.acc_seg: 92.9054, aux.loss_ce: 0.1013, aux.acc_seg: 89.8695, loss: 0.2694 2024-03-05 04:15:21,634 - mmseg - INFO - Iter [93250/160000] lr: 1.437e-05, eta: 13:02:40, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1560, decode.acc_seg: 93.2305, aux.loss_ce: 0.0939, aux.acc_seg: 90.4844, loss: 0.2499 2024-03-05 04:15:56,016 - mmseg - INFO - Iter [93300/160000] lr: 1.436e-05, eta: 13:02:05, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1669, decode.acc_seg: 92.9096, aux.loss_ce: 0.1015, aux.acc_seg: 89.9864, loss: 0.2683 2024-03-05 04:16:30,551 - mmseg - INFO - Iter [93350/160000] lr: 1.435e-05, eta: 13:01:29, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1643, decode.acc_seg: 92.9467, aux.loss_ce: 0.0986, aux.acc_seg: 90.1510, loss: 0.2629 2024-03-05 04:17:05,097 - mmseg - INFO - Iter [93400/160000] lr: 1.433e-05, eta: 13:00:53, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1668, decode.acc_seg: 92.7741, aux.loss_ce: 0.1002, aux.acc_seg: 89.9225, loss: 0.2670 2024-03-05 04:17:39,492 - mmseg - INFO - Iter [93450/160000] lr: 1.432e-05, eta: 13:00:18, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1619, decode.acc_seg: 92.9462, aux.loss_ce: 0.1013, aux.acc_seg: 89.6747, loss: 0.2632 2024-03-05 04:18:16,736 - mmseg - INFO - Iter [93500/160000] lr: 1.431e-05, eta: 12:59:44, time: 0.745, data_time: 0.063, memory: 9361, decode.loss_ce: 0.1685, decode.acc_seg: 92.8623, aux.loss_ce: 0.1026, aux.acc_seg: 89.8339, loss: 0.2711 2024-03-05 04:18:51,095 - mmseg - INFO - Iter [93550/160000] lr: 1.430e-05, eta: 12:59:08, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1586, decode.acc_seg: 93.1225, aux.loss_ce: 0.0986, aux.acc_seg: 90.2198, loss: 0.2571 2024-03-05 04:19:25,413 - mmseg - INFO - Iter [93600/160000] lr: 1.429e-05, eta: 12:58:32, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1595, decode.acc_seg: 93.3344, aux.loss_ce: 0.0961, aux.acc_seg: 90.5728, loss: 0.2557 2024-03-05 04:19:59,867 - mmseg - INFO - Iter [93650/160000] lr: 1.428e-05, eta: 12:57:57, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1593, decode.acc_seg: 93.1784, aux.loss_ce: 0.0936, aux.acc_seg: 90.6869, loss: 0.2528 2024-03-05 04:20:34,276 - mmseg - INFO - Iter [93700/160000] lr: 1.427e-05, eta: 12:57:21, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1650, decode.acc_seg: 93.1071, aux.loss_ce: 0.1017, aux.acc_seg: 90.2023, loss: 0.2666 2024-03-05 04:21:08,745 - mmseg - INFO - Iter [93750/160000] lr: 1.426e-05, eta: 12:56:45, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1629, decode.acc_seg: 92.9629, aux.loss_ce: 0.1000, aux.acc_seg: 89.9753, loss: 0.2629 2024-03-05 04:21:43,268 - mmseg - INFO - Iter [93800/160000] lr: 1.425e-05, eta: 12:56:10, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1578, decode.acc_seg: 93.1786, aux.loss_ce: 0.0946, aux.acc_seg: 90.5472, loss: 0.2524 2024-03-05 04:22:17,766 - mmseg - INFO - Iter [93850/160000] lr: 1.424e-05, eta: 12:55:34, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1623, decode.acc_seg: 92.9346, aux.loss_ce: 0.0996, aux.acc_seg: 89.8400, loss: 0.2618 2024-03-05 04:22:52,223 - mmseg - INFO - Iter [93900/160000] lr: 1.423e-05, eta: 12:54:58, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1587, decode.acc_seg: 93.2307, aux.loss_ce: 0.0966, aux.acc_seg: 90.1951, loss: 0.2554 2024-03-05 04:23:26,843 - mmseg - INFO - Iter [93950/160000] lr: 1.422e-05, eta: 12:54:23, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1632, decode.acc_seg: 92.8613, aux.loss_ce: 0.1006, aux.acc_seg: 89.8767, loss: 0.2639 2024-03-05 04:24:01,273 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 04:24:01,273 - mmseg - INFO - Iter [94000/160000] lr: 1.421e-05, eta: 12:53:47, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1607, decode.acc_seg: 93.1905, aux.loss_ce: 0.0939, aux.acc_seg: 90.7448, loss: 0.2546 2024-03-05 04:24:35,638 - mmseg - INFO - Iter [94050/160000] lr: 1.419e-05, eta: 12:53:11, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1515, decode.acc_seg: 93.3949, aux.loss_ce: 0.0945, aux.acc_seg: 90.5541, loss: 0.2460 2024-03-05 04:25:09,936 - mmseg - INFO - Iter [94100/160000] lr: 1.418e-05, eta: 12:52:36, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1669, decode.acc_seg: 92.7890, aux.loss_ce: 0.1021, aux.acc_seg: 89.7568, loss: 0.2690 2024-03-05 04:25:44,703 - mmseg - INFO - Iter [94150/160000] lr: 1.417e-05, eta: 12:52:00, time: 0.695, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1629, decode.acc_seg: 93.0122, aux.loss_ce: 0.1004, aux.acc_seg: 90.0655, loss: 0.2633 2024-03-05 04:26:19,229 - mmseg - INFO - Iter [94200/160000] lr: 1.416e-05, eta: 12:51:24, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1649, decode.acc_seg: 92.7634, aux.loss_ce: 0.0963, aux.acc_seg: 90.2232, loss: 0.2613 2024-03-05 04:26:53,730 - mmseg - INFO - Iter [94250/160000] lr: 1.415e-05, eta: 12:50:49, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1724, decode.acc_seg: 92.8354, aux.loss_ce: 0.1026, aux.acc_seg: 89.9708, loss: 0.2750 2024-03-05 04:27:28,038 - mmseg - INFO - Iter [94300/160000] lr: 1.414e-05, eta: 12:50:13, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1503, decode.acc_seg: 93.5290, aux.loss_ce: 0.0919, aux.acc_seg: 90.8349, loss: 0.2422 2024-03-05 04:28:02,345 - mmseg - INFO - Iter [94350/160000] lr: 1.413e-05, eta: 12:49:37, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1676, decode.acc_seg: 92.6894, aux.loss_ce: 0.1018, aux.acc_seg: 89.6616, loss: 0.2694 2024-03-05 04:28:36,788 - mmseg - INFO - Iter [94400/160000] lr: 1.412e-05, eta: 12:49:02, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1655, decode.acc_seg: 93.0323, aux.loss_ce: 0.0994, aux.acc_seg: 90.1782, loss: 0.2649 2024-03-05 04:29:11,022 - mmseg - INFO - Iter [94450/160000] lr: 1.411e-05, eta: 12:48:26, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1544, decode.acc_seg: 93.2105, aux.loss_ce: 0.0941, aux.acc_seg: 90.1456, loss: 0.2485 2024-03-05 04:29:45,558 - mmseg - INFO - Iter [94500/160000] lr: 1.410e-05, eta: 12:47:50, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1628, decode.acc_seg: 93.1603, aux.loss_ce: 0.0961, aux.acc_seg: 90.4255, loss: 0.2589 2024-03-05 04:30:20,128 - mmseg - INFO - Iter [94550/160000] lr: 1.409e-05, eta: 12:47:15, time: 0.691, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1756, decode.acc_seg: 92.4948, aux.loss_ce: 0.1050, aux.acc_seg: 89.5670, loss: 0.2806 2024-03-05 04:30:54,474 - mmseg - INFO - Iter [94600/160000] lr: 1.408e-05, eta: 12:46:39, time: 0.687, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1594, decode.acc_seg: 92.9597, aux.loss_ce: 0.0980, aux.acc_seg: 89.8059, loss: 0.2574 2024-03-05 04:31:28,651 - mmseg - INFO - Iter [94650/160000] lr: 1.407e-05, eta: 12:46:03, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1743, decode.acc_seg: 92.4454, aux.loss_ce: 0.1024, aux.acc_seg: 89.7617, loss: 0.2766 2024-03-05 04:32:02,915 - mmseg - INFO - Iter [94700/160000] lr: 1.405e-05, eta: 12:45:27, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1680, decode.acc_seg: 92.6987, aux.loss_ce: 0.1028, aux.acc_seg: 89.6780, loss: 0.2709 2024-03-05 04:32:40,339 - mmseg - INFO - Iter [94750/160000] lr: 1.404e-05, eta: 12:44:54, time: 0.748, data_time: 0.071, memory: 9361, decode.loss_ce: 0.1592, decode.acc_seg: 93.1844, aux.loss_ce: 0.0972, aux.acc_seg: 90.4059, loss: 0.2563 2024-03-05 04:33:14,704 - mmseg - INFO - Iter [94800/160000] lr: 1.403e-05, eta: 12:44:18, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1679, decode.acc_seg: 92.8267, aux.loss_ce: 0.1057, aux.acc_seg: 89.4127, loss: 0.2736 2024-03-05 04:33:49,161 - mmseg - INFO - Iter [94850/160000] lr: 1.402e-05, eta: 12:43:42, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1673, decode.acc_seg: 92.5196, aux.loss_ce: 0.1021, aux.acc_seg: 89.3694, loss: 0.2694 2024-03-05 04:34:23,388 - mmseg - INFO - Iter [94900/160000] lr: 1.401e-05, eta: 12:43:06, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1647, decode.acc_seg: 92.9968, aux.loss_ce: 0.1002, aux.acc_seg: 90.1245, loss: 0.2649 2024-03-05 04:34:57,773 - mmseg - INFO - Iter [94950/160000] lr: 1.400e-05, eta: 12:42:31, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1550, decode.acc_seg: 93.2966, aux.loss_ce: 0.0949, aux.acc_seg: 90.4488, loss: 0.2499 2024-03-05 04:35:32,190 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 04:35:32,191 - mmseg - INFO - Iter [95000/160000] lr: 1.399e-05, eta: 12:41:55, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1661, decode.acc_seg: 92.7996, aux.loss_ce: 0.1020, aux.acc_seg: 89.7353, loss: 0.2681 2024-03-05 04:36:06,522 - mmseg - INFO - Iter [95050/160000] lr: 1.398e-05, eta: 12:41:19, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1596, decode.acc_seg: 93.0726, aux.loss_ce: 0.0969, aux.acc_seg: 90.2660, loss: 0.2564 2024-03-05 04:36:40,864 - mmseg - INFO - Iter [95100/160000] lr: 1.397e-05, eta: 12:40:44, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1624, decode.acc_seg: 93.0615, aux.loss_ce: 0.0974, aux.acc_seg: 90.1805, loss: 0.2597 2024-03-05 04:37:15,090 - mmseg - INFO - Iter [95150/160000] lr: 1.396e-05, eta: 12:40:08, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1634, decode.acc_seg: 93.2633, aux.loss_ce: 0.0997, aux.acc_seg: 90.4904, loss: 0.2631 2024-03-05 04:37:49,658 - mmseg - INFO - Iter [95200/160000] lr: 1.395e-05, eta: 12:39:32, time: 0.691, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1608, decode.acc_seg: 93.1562, aux.loss_ce: 0.0963, aux.acc_seg: 90.4163, loss: 0.2571 2024-03-05 04:38:24,161 - mmseg - INFO - Iter [95250/160000] lr: 1.394e-05, eta: 12:38:57, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1607, decode.acc_seg: 93.0521, aux.loss_ce: 0.0976, aux.acc_seg: 90.1189, loss: 0.2583 2024-03-05 04:38:58,705 - mmseg - INFO - Iter [95300/160000] lr: 1.393e-05, eta: 12:38:21, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1589, decode.acc_seg: 93.1568, aux.loss_ce: 0.0992, aux.acc_seg: 90.1125, loss: 0.2581 2024-03-05 04:39:33,182 - mmseg - INFO - Iter [95350/160000] lr: 1.392e-05, eta: 12:37:45, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1544, decode.acc_seg: 93.2676, aux.loss_ce: 0.0920, aux.acc_seg: 90.7226, loss: 0.2464 2024-03-05 04:40:07,831 - mmseg - INFO - Iter [95400/160000] lr: 1.390e-05, eta: 12:37:10, time: 0.693, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1603, decode.acc_seg: 92.9094, aux.loss_ce: 0.0958, aux.acc_seg: 90.2039, loss: 0.2561 2024-03-05 04:40:42,404 - mmseg - INFO - Iter [95450/160000] lr: 1.389e-05, eta: 12:36:34, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1577, decode.acc_seg: 93.1857, aux.loss_ce: 0.0953, aux.acc_seg: 90.4568, loss: 0.2530 2024-03-05 04:41:17,039 - mmseg - INFO - Iter [95500/160000] lr: 1.388e-05, eta: 12:35:59, time: 0.693, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1535, decode.acc_seg: 93.2198, aux.loss_ce: 0.0933, aux.acc_seg: 90.4900, loss: 0.2468 2024-03-05 04:41:51,475 - mmseg - INFO - Iter [95550/160000] lr: 1.387e-05, eta: 12:35:23, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1584, decode.acc_seg: 93.2713, aux.loss_ce: 0.0970, aux.acc_seg: 90.3191, loss: 0.2554 2024-03-05 04:42:25,859 - mmseg - INFO - Iter [95600/160000] lr: 1.386e-05, eta: 12:34:47, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1603, decode.acc_seg: 93.1374, aux.loss_ce: 0.0978, aux.acc_seg: 90.2239, loss: 0.2581 2024-03-05 04:43:00,240 - mmseg - INFO - Iter [95650/160000] lr: 1.385e-05, eta: 12:34:12, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1588, decode.acc_seg: 93.2147, aux.loss_ce: 0.1002, aux.acc_seg: 90.2056, loss: 0.2590 2024-03-05 04:43:34,850 - mmseg - INFO - Iter [95700/160000] lr: 1.384e-05, eta: 12:33:36, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1659, decode.acc_seg: 92.8787, aux.loss_ce: 0.0976, aux.acc_seg: 90.1591, loss: 0.2635 2024-03-05 04:44:09,139 - mmseg - INFO - Iter [95750/160000] lr: 1.383e-05, eta: 12:33:00, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1574, decode.acc_seg: 93.3106, aux.loss_ce: 0.0951, aux.acc_seg: 90.5428, loss: 0.2525 2024-03-05 04:44:43,470 - mmseg - INFO - Iter [95800/160000] lr: 1.382e-05, eta: 12:32:25, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1622, decode.acc_seg: 93.0824, aux.loss_ce: 0.0981, aux.acc_seg: 90.2269, loss: 0.2603 2024-03-05 04:45:18,114 - mmseg - INFO - Iter [95850/160000] lr: 1.381e-05, eta: 12:31:49, time: 0.693, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1525, decode.acc_seg: 93.4840, aux.loss_ce: 0.0955, aux.acc_seg: 90.5736, loss: 0.2480 2024-03-05 04:45:52,788 - mmseg - INFO - Iter [95900/160000] lr: 1.380e-05, eta: 12:31:14, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1589, decode.acc_seg: 93.1265, aux.loss_ce: 0.0976, aux.acc_seg: 90.1209, loss: 0.2565 2024-03-05 04:46:27,210 - mmseg - INFO - Iter [95950/160000] lr: 1.379e-05, eta: 12:30:38, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1582, decode.acc_seg: 93.1386, aux.loss_ce: 0.0956, aux.acc_seg: 90.4233, loss: 0.2538 2024-03-05 04:47:04,742 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 04:47:04,742 - mmseg - INFO - Iter [96000/160000] lr: 1.378e-05, eta: 12:30:05, time: 0.751, data_time: 0.063, memory: 9361, decode.loss_ce: 0.1574, decode.acc_seg: 93.1755, aux.loss_ce: 0.0988, aux.acc_seg: 90.0584, loss: 0.2562 2024-03-05 04:50:15,075 - mmseg - INFO - per class results: 2024-03-05 04:50:15,083 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.47 | 87.96 | | building | 82.23 | 91.94 | | sky | 94.33 | 97.78 | | floor | 81.02 | 91.2 | | tree | 74.44 | 87.9 | | ceiling | 82.49 | 93.13 | | road | 83.56 | 92.96 | | bed | 89.29 | 95.88 | | windowpane | 62.6 | 77.66 | | grass | 67.91 | 83.14 | | cabinet | 61.33 | 74.71 | | sidewalk | 63.71 | 76.29 | | person | 80.86 | 91.1 | | earth | 36.16 | 49.04 | | door | 49.49 | 64.32 | | table | 61.78 | 77.18 | | mountain | 57.51 | 70.9 | | plant | 49.31 | 62.52 | | curtain | 74.47 | 86.62 | | chair | 58.35 | 71.1 | | car | 84.2 | 90.8 | | water | 44.85 | 57.32 | | painting | 73.51 | 86.71 | | sofa | 68.11 | 84.27 | | shelf | 43.85 | 66.26 | | house | 35.43 | 42.39 | | sea | 49.89 | 77.96 | | mirror | 63.38 | 70.52 | | rug | 50.73 | 61.16 | | field | 27.15 | 45.47 | | armchair | 44.36 | 61.59 | | seat | 61.65 | 83.16 | | fence | 44.62 | 60.55 | | desk | 52.42 | 71.93 | | rock | 43.24 | 68.36 | | wardrobe | 43.49 | 59.26 | | lamp | 66.1 | 77.91 | | bathtub | 76.38 | 81.44 | | railing | 29.73 | 37.92 | | cushion | 58.78 | 68.97 | | base | 28.39 | 34.7 | | box | 27.67 | 35.94 | | column | 44.76 | 53.71 | | signboard | 37.56 | 53.16 | | chest of drawers | 42.98 | 55.84 | | counter | 34.85 | 48.05 | | sand | 47.74 | 65.11 | | sink | 69.26 | 81.86 | | skyscraper | 59.63 | 84.39 | | fireplace | 70.67 | 88.3 | | refrigerator | 74.82 | 81.3 | | grandstand | 39.66 | 75.41 | | path | 13.8 | 19.56 | | stairs | 29.96 | 37.92 | | runway | 68.68 | 92.56 | | case | 54.65 | 67.1 | | pool table | 91.96 | 95.62 | | pillow | 57.12 | 68.92 | | screen door | 71.97 | 81.78 | | stairway | 31.88 | 38.45 | | river | 9.18 | 20.1 | | bridge | 68.33 | 78.69 | | bookcase | 37.41 | 57.1 | | blind | 45.13 | 50.81 | | coffee table | 59.46 | 82.56 | | toilet | 86.83 | 91.48 | | flower | 34.32 | 49.66 | | book | 44.4 | 67.89 | | hill | 7.48 | 13.2 | | bench | 43.31 | 51.24 | | countertop | 52.13 | 66.98 | | stove | 77.52 | 83.41 | | palm | 51.45 | 73.53 | | kitchen island | 38.5 | 68.04 | | computer | 66.36 | 79.09 | | swivel chair | 40.72 | 57.49 | | boat | 45.59 | 66.87 | | bar | 35.95 | 44.3 | | arcade machine | 35.48 | 37.49 | | hovel | 31.72 | 36.8 | | bus | 84.61 | 96.84 | | towel | 65.3 | 75.72 | | light | 54.33 | 63.48 | | truck | 26.66 | 47.99 | | tower | 38.54 | 53.65 | | chandelier | 66.24 | 85.71 | | awning | 24.16 | 32.59 | | streetlight | 28.5 | 38.65 | | booth | 43.36 | 51.63 | | television receiver | 71.51 | 83.79 | | airplane | 43.67 | 65.96 | | dirt track | 7.67 | 10.86 | | apparel | 40.74 | 65.18 | | pole | 21.95 | 30.9 | | land | 2.52 | 3.2 | | bannister | 17.8 | 25.46 | | escalator | 34.16 | 44.21 | | ottoman | 49.52 | 67.82 | | bottle | 36.63 | 55.35 | | buffet | 35.64 | 39.96 | | poster | 35.82 | 45.27 | | stage | 19.06 | 26.82 | | van | 42.94 | 62.47 | | ship | 36.85 | 45.97 | | fountain | 9.34 | 9.54 | | conveyer belt | 45.54 | 92.22 | | canopy | 27.86 | 38.07 | | washer | 69.59 | 71.13 | | plaything | 21.63 | 30.53 | | swimming pool | 39.64 | 60.4 | | stool | 37.1 | 50.17 | | barrel | 53.46 | 73.08 | | basket | 29.33 | 37.25 | | waterfall | 58.52 | 63.74 | | tent | 93.71 | 98.07 | | bag | 13.28 | 16.66 | | minibike | 66.39 | 84.37 | | cradle | 67.53 | 81.22 | | oven | 57.51 | 73.04 | | ball | 46.74 | 62.15 | | food | 49.71 | 59.03 | | step | 13.98 | 18.28 | | tank | 45.16 | 49.43 | | trade name | 27.64 | 34.68 | | microwave | 37.54 | 40.98 | | pot | 43.96 | 53.28 | | animal | 59.15 | 61.08 | | bicycle | 52.36 | 75.81 | | lake | 41.29 | 61.6 | | dishwasher | 69.5 | 73.96 | | screen | 46.87 | 60.83 | | blanket | 16.73 | 19.37 | | sculpture | 59.3 | 78.23 | | hood | 56.89 | 67.69 | | sconce | 47.65 | 58.92 | | vase | 38.51 | 53.8 | | traffic light | 34.12 | 51.98 | | tray | 8.16 | 17.05 | | ashcan | 45.7 | 59.46 | | fan | 60.17 | 73.95 | | pier | 57.09 | 74.89 | | crt screen | 6.5 | 10.56 | | plate | 48.06 | 63.8 | | monitor | 43.75 | 71.53 | | bulletin board | 45.7 | 52.23 | | shower | 7.34 | 10.27 | | radiator | 55.32 | 65.71 | | glass | 15.83 | 17.54 | | clock | 36.15 | 45.85 | | flag | 34.68 | 40.17 | +---------------------+-------+-------+ 2024-03-05 04:50:15,083 - mmseg - INFO - Summary: 2024-03-05 04:50:15,084 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 82.74 | 48.2 | 60.65 | +-------+------+-------+ 2024-03-05 04:50:15,094 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 04:50:15,094 - mmseg - INFO - Iter(val) [500] aAcc: 0.8274, mIoU: 0.4820, mAcc: 0.6065, IoU.wall: 0.7747, IoU.building: 0.8223, IoU.sky: 0.9433, IoU.floor: 0.8102, IoU.tree: 0.7444, IoU.ceiling: 0.8249, IoU.road: 0.8356, IoU.bed : 0.8929, IoU.windowpane: 0.6260, IoU.grass: 0.6791, IoU.cabinet: 0.6133, IoU.sidewalk: 0.6371, IoU.person: 0.8086, IoU.earth: 0.3616, IoU.door: 0.4949, IoU.table: 0.6178, IoU.mountain: 0.5751, IoU.plant: 0.4931, IoU.curtain: 0.7447, IoU.chair: 0.5835, IoU.car: 0.8420, IoU.water: 0.4485, IoU.painting: 0.7351, IoU.sofa: 0.6811, IoU.shelf: 0.4385, IoU.house: 0.3543, IoU.sea: 0.4989, IoU.mirror: 0.6338, IoU.rug: 0.5073, IoU.field: 0.2715, IoU.armchair: 0.4436, IoU.seat: 0.6165, IoU.fence: 0.4462, IoU.desk: 0.5242, IoU.rock: 0.4324, IoU.wardrobe: 0.4349, IoU.lamp: 0.6610, IoU.bathtub: 0.7638, IoU.railing: 0.2973, IoU.cushion: 0.5878, IoU.base: 0.2839, IoU.box: 0.2767, IoU.column: 0.4476, IoU.signboard: 0.3756, IoU.chest of drawers: 0.4298, IoU.counter: 0.3485, IoU.sand: 0.4774, IoU.sink: 0.6926, IoU.skyscraper: 0.5963, IoU.fireplace: 0.7067, IoU.refrigerator: 0.7482, IoU.grandstand: 0.3966, IoU.path: 0.1380, IoU.stairs: 0.2996, IoU.runway: 0.6868, IoU.case: 0.5465, IoU.pool table: 0.9196, IoU.pillow: 0.5712, IoU.screen door: 0.7197, IoU.stairway: 0.3188, IoU.river: 0.0918, IoU.bridge: 0.6833, IoU.bookcase: 0.3741, IoU.blind: 0.4513, IoU.coffee table: 0.5946, IoU.toilet: 0.8683, IoU.flower: 0.3432, IoU.book: 0.4440, IoU.hill: 0.0748, IoU.bench: 0.4331, IoU.countertop: 0.5213, IoU.stove: 0.7752, IoU.palm: 0.5145, IoU.kitchen island: 0.3850, IoU.computer: 0.6636, IoU.swivel chair: 0.4072, IoU.boat: 0.4559, IoU.bar: 0.3595, IoU.arcade machine: 0.3548, IoU.hovel: 0.3172, IoU.bus: 0.8461, IoU.towel: 0.6530, IoU.light: 0.5433, IoU.truck: 0.2666, IoU.tower: 0.3854, IoU.chandelier: 0.6624, IoU.awning: 0.2416, IoU.streetlight: 0.2850, IoU.booth: 0.4336, IoU.television receiver: 0.7151, IoU.airplane: 0.4367, IoU.dirt track: 0.0767, IoU.apparel: 0.4074, IoU.pole: 0.2195, IoU.land: 0.0252, IoU.bannister: 0.1780, IoU.escalator: 0.3416, IoU.ottoman: 0.4952, IoU.bottle: 0.3663, IoU.buffet: 0.3564, IoU.poster: 0.3582, IoU.stage: 0.1906, IoU.van: 0.4294, IoU.ship: 0.3685, IoU.fountain: 0.0934, IoU.conveyer belt: 0.4554, IoU.canopy: 0.2786, IoU.washer: 0.6959, IoU.plaything: 0.2163, IoU.swimming pool: 0.3964, IoU.stool: 0.3710, IoU.barrel: 0.5346, IoU.basket: 0.2933, IoU.waterfall: 0.5852, IoU.tent: 0.9371, IoU.bag: 0.1328, IoU.minibike: 0.6639, IoU.cradle: 0.6753, IoU.oven: 0.5751, IoU.ball: 0.4674, IoU.food: 0.4971, IoU.step: 0.1398, IoU.tank: 0.4516, IoU.trade name: 0.2764, IoU.microwave: 0.3754, IoU.pot: 0.4396, IoU.animal: 0.5915, IoU.bicycle: 0.5236, IoU.lake: 0.4129, IoU.dishwasher: 0.6950, IoU.screen: 0.4687, IoU.blanket: 0.1673, IoU.sculpture: 0.5930, IoU.hood: 0.5689, IoU.sconce: 0.4765, IoU.vase: 0.3851, IoU.traffic light: 0.3412, IoU.tray: 0.0816, IoU.ashcan: 0.4570, IoU.fan: 0.6017, IoU.pier: 0.5709, IoU.crt screen: 0.0650, IoU.plate: 0.4806, IoU.monitor: 0.4375, IoU.bulletin board: 0.4570, IoU.shower: 0.0734, IoU.radiator: 0.5532, IoU.glass: 0.1583, IoU.clock: 0.3615, IoU.flag: 0.3468, Acc.wall: 0.8796, Acc.building: 0.9194, Acc.sky: 0.9778, Acc.floor: 0.9120, Acc.tree: 0.8790, Acc.ceiling: 0.9313, Acc.road: 0.9296, Acc.bed : 0.9588, Acc.windowpane: 0.7766, Acc.grass: 0.8314, Acc.cabinet: 0.7471, Acc.sidewalk: 0.7629, Acc.person: 0.9110, Acc.earth: 0.4904, Acc.door: 0.6432, Acc.table: 0.7718, Acc.mountain: 0.7090, Acc.plant: 0.6252, Acc.curtain: 0.8662, Acc.chair: 0.7110, Acc.car: 0.9080, Acc.water: 0.5732, Acc.painting: 0.8671, Acc.sofa: 0.8427, Acc.shelf: 0.6626, Acc.house: 0.4239, Acc.sea: 0.7796, Acc.mirror: 0.7052, Acc.rug: 0.6116, Acc.field: 0.4547, Acc.armchair: 0.6159, Acc.seat: 0.8316, Acc.fence: 0.6055, Acc.desk: 0.7193, Acc.rock: 0.6836, Acc.wardrobe: 0.5926, Acc.lamp: 0.7791, Acc.bathtub: 0.8144, Acc.railing: 0.3792, Acc.cushion: 0.6897, Acc.base: 0.3470, Acc.box: 0.3594, Acc.column: 0.5371, Acc.signboard: 0.5316, Acc.chest of drawers: 0.5584, Acc.counter: 0.4805, Acc.sand: 0.6511, Acc.sink: 0.8186, Acc.skyscraper: 0.8439, Acc.fireplace: 0.8830, Acc.refrigerator: 0.8130, Acc.grandstand: 0.7541, Acc.path: 0.1956, Acc.stairs: 0.3792, Acc.runway: 0.9256, Acc.case: 0.6710, Acc.pool table: 0.9562, Acc.pillow: 0.6892, Acc.screen door: 0.8178, Acc.stairway: 0.3845, Acc.river: 0.2010, Acc.bridge: 0.7869, Acc.bookcase: 0.5710, Acc.blind: 0.5081, Acc.coffee table: 0.8256, Acc.toilet: 0.9148, Acc.flower: 0.4966, Acc.book: 0.6789, Acc.hill: 0.1320, Acc.bench: 0.5124, Acc.countertop: 0.6698, Acc.stove: 0.8341, Acc.palm: 0.7353, Acc.kitchen island: 0.6804, Acc.computer: 0.7909, Acc.swivel chair: 0.5749, Acc.boat: 0.6687, Acc.bar: 0.4430, Acc.arcade machine: 0.3749, Acc.hovel: 0.3680, Acc.bus: 0.9684, Acc.towel: 0.7572, Acc.light: 0.6348, Acc.truck: 0.4799, Acc.tower: 0.5365, Acc.chandelier: 0.8571, Acc.awning: 0.3259, Acc.streetlight: 0.3865, Acc.booth: 0.5163, Acc.television receiver: 0.8379, Acc.airplane: 0.6596, Acc.dirt track: 0.1086, Acc.apparel: 0.6518, Acc.pole: 0.3090, Acc.land: 0.0320, Acc.bannister: 0.2546, Acc.escalator: 0.4421, Acc.ottoman: 0.6782, Acc.bottle: 0.5535, Acc.buffet: 0.3996, Acc.poster: 0.4527, Acc.stage: 0.2682, Acc.van: 0.6247, Acc.ship: 0.4597, Acc.fountain: 0.0954, Acc.conveyer belt: 0.9222, Acc.canopy: 0.3807, Acc.washer: 0.7113, Acc.plaything: 0.3053, Acc.swimming pool: 0.6040, Acc.stool: 0.5017, Acc.barrel: 0.7308, Acc.basket: 0.3725, Acc.waterfall: 0.6374, Acc.tent: 0.9807, Acc.bag: 0.1666, Acc.minibike: 0.8437, Acc.cradle: 0.8122, Acc.oven: 0.7304, Acc.ball: 0.6215, Acc.food: 0.5903, Acc.step: 0.1828, Acc.tank: 0.4943, Acc.trade name: 0.3468, Acc.microwave: 0.4098, Acc.pot: 0.5328, Acc.animal: 0.6108, Acc.bicycle: 0.7581, Acc.lake: 0.6160, Acc.dishwasher: 0.7396, Acc.screen: 0.6083, Acc.blanket: 0.1937, Acc.sculpture: 0.7823, Acc.hood: 0.6769, Acc.sconce: 0.5892, Acc.vase: 0.5380, Acc.traffic light: 0.5198, Acc.tray: 0.1705, Acc.ashcan: 0.5946, Acc.fan: 0.7395, Acc.pier: 0.7489, Acc.crt screen: 0.1056, Acc.plate: 0.6380, Acc.monitor: 0.7153, Acc.bulletin board: 0.5223, Acc.shower: 0.1027, Acc.radiator: 0.6571, Acc.glass: 0.1754, Acc.clock: 0.4585, Acc.flag: 0.4017 2024-03-05 04:50:49,488 - mmseg - INFO - Iter [96050/160000] lr: 1.376e-05, eta: 12:31:36, time: 4.495, data_time: 3.815, memory: 9361, decode.loss_ce: 0.1573, decode.acc_seg: 93.1750, aux.loss_ce: 0.0961, aux.acc_seg: 90.3452, loss: 0.2535 2024-03-05 04:51:23,878 - mmseg - INFO - Iter [96100/160000] lr: 1.375e-05, eta: 12:31:00, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1564, decode.acc_seg: 93.2097, aux.loss_ce: 0.0954, aux.acc_seg: 90.4378, loss: 0.2518 2024-03-05 04:51:58,421 - mmseg - INFO - Iter [96150/160000] lr: 1.374e-05, eta: 12:30:24, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1614, decode.acc_seg: 93.0507, aux.loss_ce: 0.1001, aux.acc_seg: 90.1416, loss: 0.2615 2024-03-05 04:52:32,844 - mmseg - INFO - Iter [96200/160000] lr: 1.373e-05, eta: 12:29:48, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1628, decode.acc_seg: 92.9190, aux.loss_ce: 0.0983, aux.acc_seg: 90.0322, loss: 0.2610 2024-03-05 04:53:07,195 - mmseg - INFO - Iter [96250/160000] lr: 1.372e-05, eta: 12:29:12, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1583, decode.acc_seg: 92.9996, aux.loss_ce: 0.0955, aux.acc_seg: 90.2483, loss: 0.2538 2024-03-05 04:53:41,622 - mmseg - INFO - Iter [96300/160000] lr: 1.371e-05, eta: 12:28:37, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1534, decode.acc_seg: 93.3133, aux.loss_ce: 0.0893, aux.acc_seg: 90.8440, loss: 0.2427 2024-03-05 04:54:16,109 - mmseg - INFO - Iter [96350/160000] lr: 1.370e-05, eta: 12:28:01, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1587, decode.acc_seg: 93.0536, aux.loss_ce: 0.0965, aux.acc_seg: 90.2602, loss: 0.2552 2024-03-05 04:54:50,348 - mmseg - INFO - Iter [96400/160000] lr: 1.369e-05, eta: 12:27:25, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1567, decode.acc_seg: 93.1739, aux.loss_ce: 0.0956, aux.acc_seg: 90.3871, loss: 0.2523 2024-03-05 04:55:24,733 - mmseg - INFO - Iter [96450/160000] lr: 1.368e-05, eta: 12:26:49, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1625, decode.acc_seg: 92.8604, aux.loss_ce: 0.0988, aux.acc_seg: 89.9138, loss: 0.2613 2024-03-05 04:55:59,055 - mmseg - INFO - Iter [96500/160000] lr: 1.367e-05, eta: 12:26:13, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1627, decode.acc_seg: 92.9470, aux.loss_ce: 0.0947, aux.acc_seg: 90.3633, loss: 0.2574 2024-03-05 04:56:33,447 - mmseg - INFO - Iter [96550/160000] lr: 1.366e-05, eta: 12:25:37, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1563, decode.acc_seg: 93.1199, aux.loss_ce: 0.0958, aux.acc_seg: 90.1840, loss: 0.2521 2024-03-05 04:57:07,834 - mmseg - INFO - Iter [96600/160000] lr: 1.365e-05, eta: 12:25:02, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1608, decode.acc_seg: 92.9603, aux.loss_ce: 0.0991, aux.acc_seg: 89.9821, loss: 0.2599 2024-03-05 04:57:42,211 - mmseg - INFO - Iter [96650/160000] lr: 1.364e-05, eta: 12:24:26, time: 0.687, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1575, decode.acc_seg: 93.1191, aux.loss_ce: 0.0994, aux.acc_seg: 90.0809, loss: 0.2569 2024-03-05 04:58:16,562 - mmseg - INFO - Iter [96700/160000] lr: 1.362e-05, eta: 12:23:50, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1573, decode.acc_seg: 93.0040, aux.loss_ce: 0.0957, aux.acc_seg: 90.3440, loss: 0.2530 2024-03-05 04:58:50,788 - mmseg - INFO - Iter [96750/160000] lr: 1.361e-05, eta: 12:23:14, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1608, decode.acc_seg: 93.2064, aux.loss_ce: 0.0960, aux.acc_seg: 90.3640, loss: 0.2568 2024-03-05 04:59:24,860 - mmseg - INFO - Iter [96800/160000] lr: 1.360e-05, eta: 12:22:38, time: 0.681, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1646, decode.acc_seg: 93.1600, aux.loss_ce: 0.0945, aux.acc_seg: 90.4854, loss: 0.2591 2024-03-05 04:59:59,448 - mmseg - INFO - Iter [96850/160000] lr: 1.359e-05, eta: 12:22:02, time: 0.692, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1688, decode.acc_seg: 92.6635, aux.loss_ce: 0.1009, aux.acc_seg: 89.8542, loss: 0.2697 2024-03-05 05:00:34,004 - mmseg - INFO - Iter [96900/160000] lr: 1.358e-05, eta: 12:21:27, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1581, decode.acc_seg: 93.0813, aux.loss_ce: 0.0951, aux.acc_seg: 90.2888, loss: 0.2532 2024-03-05 05:01:08,449 - mmseg - INFO - Iter [96950/160000] lr: 1.357e-05, eta: 12:20:51, time: 0.689, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1529, decode.acc_seg: 93.4890, aux.loss_ce: 0.0974, aux.acc_seg: 90.2204, loss: 0.2502 2024-03-05 05:01:42,870 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 05:01:42,871 - mmseg - INFO - Iter [97000/160000] lr: 1.356e-05, eta: 12:20:15, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1607, decode.acc_seg: 93.0083, aux.loss_ce: 0.0966, aux.acc_seg: 90.2244, loss: 0.2573 2024-03-05 05:02:17,214 - mmseg - INFO - Iter [97050/160000] lr: 1.355e-05, eta: 12:19:39, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1656, decode.acc_seg: 92.9860, aux.loss_ce: 0.0965, aux.acc_seg: 90.4188, loss: 0.2621 2024-03-05 05:02:51,581 - mmseg - INFO - Iter [97100/160000] lr: 1.354e-05, eta: 12:19:03, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1692, decode.acc_seg: 92.7348, aux.loss_ce: 0.0998, aux.acc_seg: 90.1979, loss: 0.2690 2024-03-05 05:03:26,012 - mmseg - INFO - Iter [97150/160000] lr: 1.353e-05, eta: 12:18:28, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1585, decode.acc_seg: 93.1772, aux.loss_ce: 0.0969, aux.acc_seg: 90.3087, loss: 0.2553 2024-03-05 05:04:00,429 - mmseg - INFO - Iter [97200/160000] lr: 1.352e-05, eta: 12:17:52, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1557, decode.acc_seg: 93.2472, aux.loss_ce: 0.0974, aux.acc_seg: 90.3287, loss: 0.2531 2024-03-05 05:04:34,717 - mmseg - INFO - Iter [97250/160000] lr: 1.351e-05, eta: 12:17:16, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1639, decode.acc_seg: 93.1012, aux.loss_ce: 0.0964, aux.acc_seg: 90.3428, loss: 0.2603 2024-03-05 05:05:12,159 - mmseg - INFO - Iter [97300/160000] lr: 1.350e-05, eta: 12:16:42, time: 0.749, data_time: 0.057, memory: 9361, decode.loss_ce: 0.1558, decode.acc_seg: 93.3854, aux.loss_ce: 0.0949, aux.acc_seg: 90.7015, loss: 0.2507 2024-03-05 05:05:46,489 - mmseg - INFO - Iter [97350/160000] lr: 1.348e-05, eta: 12:16:06, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1506, decode.acc_seg: 93.4122, aux.loss_ce: 0.0932, aux.acc_seg: 90.5734, loss: 0.2438 2024-03-05 05:06:21,013 - mmseg - INFO - Iter [97400/160000] lr: 1.347e-05, eta: 12:15:30, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1730, decode.acc_seg: 92.5341, aux.loss_ce: 0.1019, aux.acc_seg: 89.6522, loss: 0.2749 2024-03-05 05:06:55,333 - mmseg - INFO - Iter [97450/160000] lr: 1.346e-05, eta: 12:14:55, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1517, decode.acc_seg: 93.3122, aux.loss_ce: 0.0946, aux.acc_seg: 90.3682, loss: 0.2463 2024-03-05 05:07:29,916 - mmseg - INFO - Iter [97500/160000] lr: 1.345e-05, eta: 12:14:19, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1522, decode.acc_seg: 93.2704, aux.loss_ce: 0.0940, aux.acc_seg: 90.3554, loss: 0.2462 2024-03-05 05:08:04,407 - mmseg - INFO - Iter [97550/160000] lr: 1.344e-05, eta: 12:13:43, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1589, decode.acc_seg: 93.0907, aux.loss_ce: 0.0947, aux.acc_seg: 90.4185, loss: 0.2535 2024-03-05 05:08:38,640 - mmseg - INFO - Iter [97600/160000] lr: 1.343e-05, eta: 12:13:07, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1629, decode.acc_seg: 92.9072, aux.loss_ce: 0.1008, aux.acc_seg: 89.8509, loss: 0.2637 2024-03-05 05:09:13,182 - mmseg - INFO - Iter [97650/160000] lr: 1.342e-05, eta: 12:12:32, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1582, decode.acc_seg: 93.0676, aux.loss_ce: 0.0976, aux.acc_seg: 90.2222, loss: 0.2559 2024-03-05 05:09:48,336 - mmseg - INFO - Iter [97700/160000] lr: 1.341e-05, eta: 12:11:56, time: 0.703, data_time: 0.019, memory: 9361, decode.loss_ce: 0.1655, decode.acc_seg: 92.9771, aux.loss_ce: 0.0988, aux.acc_seg: 90.0509, loss: 0.2643 2024-03-05 05:10:23,435 - mmseg - INFO - Iter [97750/160000] lr: 1.340e-05, eta: 12:11:21, time: 0.702, data_time: 0.022, memory: 9361, decode.loss_ce: 0.1501, decode.acc_seg: 93.5813, aux.loss_ce: 0.0916, aux.acc_seg: 90.7508, loss: 0.2417 2024-03-05 05:10:58,434 - mmseg - INFO - Iter [97800/160000] lr: 1.339e-05, eta: 12:10:46, time: 0.700, data_time: 0.016, memory: 9361, decode.loss_ce: 0.1544, decode.acc_seg: 93.2836, aux.loss_ce: 0.0936, aux.acc_seg: 90.4895, loss: 0.2480 2024-03-05 05:11:33,514 - mmseg - INFO - Iter [97850/160000] lr: 1.338e-05, eta: 12:10:10, time: 0.701, data_time: 0.018, memory: 9361, decode.loss_ce: 0.1545, decode.acc_seg: 93.3300, aux.loss_ce: 0.0970, aux.acc_seg: 90.4321, loss: 0.2514 2024-03-05 05:12:08,700 - mmseg - INFO - Iter [97900/160000] lr: 1.337e-05, eta: 12:09:35, time: 0.704, data_time: 0.021, memory: 9361, decode.loss_ce: 0.1490, decode.acc_seg: 93.5192, aux.loss_ce: 0.0904, aux.acc_seg: 90.8605, loss: 0.2394 2024-03-05 05:12:43,561 - mmseg - INFO - Iter [97950/160000] lr: 1.336e-05, eta: 12:08:59, time: 0.697, data_time: 0.017, memory: 9361, decode.loss_ce: 0.1578, decode.acc_seg: 93.0516, aux.loss_ce: 0.0951, aux.acc_seg: 90.2626, loss: 0.2530 2024-03-05 05:13:18,598 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 05:13:18,599 - mmseg - INFO - Iter [98000/160000] lr: 1.334e-05, eta: 12:08:24, time: 0.701, data_time: 0.021, memory: 9361, decode.loss_ce: 0.1646, decode.acc_seg: 92.9230, aux.loss_ce: 0.1014, aux.acc_seg: 90.0665, loss: 0.2660 2024-03-05 05:13:53,272 - mmseg - INFO - Iter [98050/160000] lr: 1.333e-05, eta: 12:07:48, time: 0.693, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1641, decode.acc_seg: 92.9496, aux.loss_ce: 0.0969, aux.acc_seg: 90.1750, loss: 0.2610 2024-03-05 05:14:27,861 - mmseg - INFO - Iter [98100/160000] lr: 1.332e-05, eta: 12:07:13, time: 0.692, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1570, decode.acc_seg: 93.1852, aux.loss_ce: 0.0955, aux.acc_seg: 90.4061, loss: 0.2524 2024-03-05 05:15:02,422 - mmseg - INFO - Iter [98150/160000] lr: 1.331e-05, eta: 12:06:37, time: 0.691, data_time: 0.014, memory: 9361, decode.loss_ce: 0.1577, decode.acc_seg: 93.1799, aux.loss_ce: 0.0916, aux.acc_seg: 90.7749, loss: 0.2493 2024-03-05 05:15:37,121 - mmseg - INFO - Iter [98200/160000] lr: 1.330e-05, eta: 12:06:02, time: 0.694, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1726, decode.acc_seg: 92.4832, aux.loss_ce: 0.1030, aux.acc_seg: 89.6803, loss: 0.2756 2024-03-05 05:16:11,760 - mmseg - INFO - Iter [98250/160000] lr: 1.329e-05, eta: 12:05:26, time: 0.693, data_time: 0.015, memory: 9361, decode.loss_ce: 0.1744, decode.acc_seg: 92.5406, aux.loss_ce: 0.1024, aux.acc_seg: 89.9110, loss: 0.2768 2024-03-05 05:16:46,459 - mmseg - INFO - Iter [98300/160000] lr: 1.328e-05, eta: 12:04:50, time: 0.694, data_time: 0.018, memory: 9361, decode.loss_ce: 0.1589, decode.acc_seg: 92.9846, aux.loss_ce: 0.0975, aux.acc_seg: 90.0766, loss: 0.2563 2024-03-05 05:17:20,768 - mmseg - INFO - Iter [98350/160000] lr: 1.327e-05, eta: 12:04:15, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1564, decode.acc_seg: 93.1843, aux.loss_ce: 0.0959, aux.acc_seg: 90.3317, loss: 0.2522 2024-03-05 05:17:55,210 - mmseg - INFO - Iter [98400/160000] lr: 1.326e-05, eta: 12:03:39, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1560, decode.acc_seg: 93.2419, aux.loss_ce: 0.0909, aux.acc_seg: 90.7426, loss: 0.2469 2024-03-05 05:18:29,588 - mmseg - INFO - Iter [98450/160000] lr: 1.325e-05, eta: 12:03:03, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1534, decode.acc_seg: 93.2623, aux.loss_ce: 0.0954, aux.acc_seg: 90.3960, loss: 0.2488 2024-03-05 05:19:04,021 - mmseg - INFO - Iter [98500/160000] lr: 1.324e-05, eta: 12:02:27, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1572, decode.acc_seg: 93.1505, aux.loss_ce: 0.0956, aux.acc_seg: 90.3510, loss: 0.2528 2024-03-05 05:19:41,814 - mmseg - INFO - Iter [98550/160000] lr: 1.323e-05, eta: 12:01:54, time: 0.756, data_time: 0.076, memory: 9361, decode.loss_ce: 0.1540, decode.acc_seg: 93.1758, aux.loss_ce: 0.0969, aux.acc_seg: 90.1107, loss: 0.2510 2024-03-05 05:20:16,292 - mmseg - INFO - Iter [98600/160000] lr: 1.322e-05, eta: 12:01:18, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1571, decode.acc_seg: 93.3500, aux.loss_ce: 0.0951, aux.acc_seg: 90.4467, loss: 0.2523 2024-03-05 05:20:51,070 - mmseg - INFO - Iter [98650/160000] lr: 1.320e-05, eta: 12:00:42, time: 0.696, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1481, decode.acc_seg: 93.4669, aux.loss_ce: 0.0921, aux.acc_seg: 90.6207, loss: 0.2403 2024-03-05 05:21:25,586 - mmseg - INFO - Iter [98700/160000] lr: 1.319e-05, eta: 12:00:07, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1440, decode.acc_seg: 93.7522, aux.loss_ce: 0.0893, aux.acc_seg: 90.8930, loss: 0.2334 2024-03-05 05:21:59,883 - mmseg - INFO - Iter [98750/160000] lr: 1.318e-05, eta: 11:59:31, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1541, decode.acc_seg: 93.3302, aux.loss_ce: 0.0909, aux.acc_seg: 90.8192, loss: 0.2450 2024-03-05 05:22:34,150 - mmseg - INFO - Iter [98800/160000] lr: 1.317e-05, eta: 11:58:55, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1529, decode.acc_seg: 93.3632, aux.loss_ce: 0.0938, aux.acc_seg: 90.4093, loss: 0.2467 2024-03-05 05:23:08,515 - mmseg - INFO - Iter [98850/160000] lr: 1.316e-05, eta: 11:58:19, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1491, decode.acc_seg: 93.5288, aux.loss_ce: 0.0926, aux.acc_seg: 90.7280, loss: 0.2417 2024-03-05 05:23:42,847 - mmseg - INFO - Iter [98900/160000] lr: 1.315e-05, eta: 11:57:43, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1531, decode.acc_seg: 93.3873, aux.loss_ce: 0.0967, aux.acc_seg: 90.4120, loss: 0.2498 2024-03-05 05:24:17,295 - mmseg - INFO - Iter [98950/160000] lr: 1.314e-05, eta: 11:57:08, time: 0.689, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1579, decode.acc_seg: 93.1397, aux.loss_ce: 0.0991, aux.acc_seg: 90.0841, loss: 0.2570 2024-03-05 05:24:51,619 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 05:24:51,619 - mmseg - INFO - Iter [99000/160000] lr: 1.313e-05, eta: 11:56:32, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1547, decode.acc_seg: 93.2465, aux.loss_ce: 0.0933, aux.acc_seg: 90.5891, loss: 0.2480 2024-03-05 05:25:26,097 - mmseg - INFO - Iter [99050/160000] lr: 1.312e-05, eta: 11:55:56, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1523, decode.acc_seg: 93.2481, aux.loss_ce: 0.0957, aux.acc_seg: 90.1815, loss: 0.2480 2024-03-05 05:26:00,277 - mmseg - INFO - Iter [99100/160000] lr: 1.311e-05, eta: 11:55:20, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1584, decode.acc_seg: 93.3508, aux.loss_ce: 0.0966, aux.acc_seg: 90.4288, loss: 0.2550 2024-03-05 05:26:34,420 - mmseg - INFO - Iter [99150/160000] lr: 1.310e-05, eta: 11:54:44, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1684, decode.acc_seg: 92.8518, aux.loss_ce: 0.1025, aux.acc_seg: 89.8795, loss: 0.2709 2024-03-05 05:27:08,717 - mmseg - INFO - Iter [99200/160000] lr: 1.309e-05, eta: 11:54:09, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1637, decode.acc_seg: 92.8915, aux.loss_ce: 0.0994, aux.acc_seg: 90.0316, loss: 0.2630 2024-03-05 05:27:42,912 - mmseg - INFO - Iter [99250/160000] lr: 1.308e-05, eta: 11:53:33, time: 0.684, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1598, decode.acc_seg: 93.0493, aux.loss_ce: 0.0958, aux.acc_seg: 90.3837, loss: 0.2556 2024-03-05 05:28:17,376 - mmseg - INFO - Iter [99300/160000] lr: 1.306e-05, eta: 11:52:57, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1658, decode.acc_seg: 92.8326, aux.loss_ce: 0.0962, aux.acc_seg: 90.2676, loss: 0.2620 2024-03-05 05:28:51,757 - mmseg - INFO - Iter [99350/160000] lr: 1.305e-05, eta: 11:52:21, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1608, decode.acc_seg: 93.1157, aux.loss_ce: 0.0935, aux.acc_seg: 90.5030, loss: 0.2543 2024-03-05 05:29:26,038 - mmseg - INFO - Iter [99400/160000] lr: 1.304e-05, eta: 11:51:45, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1621, decode.acc_seg: 92.9593, aux.loss_ce: 0.0989, aux.acc_seg: 90.0414, loss: 0.2610 2024-03-05 05:30:00,461 - mmseg - INFO - Iter [99450/160000] lr: 1.303e-05, eta: 11:51:10, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1503, decode.acc_seg: 93.5919, aux.loss_ce: 0.0907, aux.acc_seg: 90.8729, loss: 0.2410 2024-03-05 05:30:34,879 - mmseg - INFO - Iter [99500/160000] lr: 1.302e-05, eta: 11:50:34, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1637, decode.acc_seg: 93.0321, aux.loss_ce: 0.0986, aux.acc_seg: 90.1710, loss: 0.2623 2024-03-05 05:31:09,379 - mmseg - INFO - Iter [99550/160000] lr: 1.301e-05, eta: 11:49:58, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1535, decode.acc_seg: 93.2214, aux.loss_ce: 0.0927, aux.acc_seg: 90.6244, loss: 0.2462 2024-03-05 05:31:43,663 - mmseg - INFO - Iter [99600/160000] lr: 1.300e-05, eta: 11:49:22, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1639, decode.acc_seg: 93.1141, aux.loss_ce: 0.1030, aux.acc_seg: 89.9709, loss: 0.2669 2024-03-05 05:32:18,031 - mmseg - INFO - Iter [99650/160000] lr: 1.299e-05, eta: 11:48:47, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1680, decode.acc_seg: 92.8084, aux.loss_ce: 0.1065, aux.acc_seg: 89.5036, loss: 0.2745 2024-03-05 05:32:52,453 - mmseg - INFO - Iter [99700/160000] lr: 1.298e-05, eta: 11:48:11, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1695, decode.acc_seg: 92.8183, aux.loss_ce: 0.0995, aux.acc_seg: 89.8375, loss: 0.2690 2024-03-05 05:33:27,005 - mmseg - INFO - Iter [99750/160000] lr: 1.297e-05, eta: 11:47:35, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1542, decode.acc_seg: 93.2005, aux.loss_ce: 0.0959, aux.acc_seg: 90.2449, loss: 0.2501 2024-03-05 05:34:04,509 - mmseg - INFO - Iter [99800/160000] lr: 1.296e-05, eta: 11:47:01, time: 0.750, data_time: 0.060, memory: 9361, decode.loss_ce: 0.1573, decode.acc_seg: 93.3959, aux.loss_ce: 0.0961, aux.acc_seg: 90.6654, loss: 0.2534 2024-03-05 05:34:39,129 - mmseg - INFO - Iter [99850/160000] lr: 1.295e-05, eta: 11:46:26, time: 0.692, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1534, decode.acc_seg: 93.3742, aux.loss_ce: 0.0935, aux.acc_seg: 90.6084, loss: 0.2469 2024-03-05 05:35:13,637 - mmseg - INFO - Iter [99900/160000] lr: 1.294e-05, eta: 11:45:50, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1589, decode.acc_seg: 92.9778, aux.loss_ce: 0.1007, aux.acc_seg: 89.6694, loss: 0.2595 2024-03-05 05:35:48,116 - mmseg - INFO - Iter [99950/160000] lr: 1.292e-05, eta: 11:45:14, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1577, decode.acc_seg: 92.8936, aux.loss_ce: 0.0936, aux.acc_seg: 90.2697, loss: 0.2512 2024-03-05 05:36:22,556 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 05:36:22,557 - mmseg - INFO - Iter [100000/160000] lr: 1.291e-05, eta: 11:44:39, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1487, decode.acc_seg: 93.6380, aux.loss_ce: 0.0910, aux.acc_seg: 90.8908, loss: 0.2397 2024-03-05 05:36:56,763 - mmseg - INFO - Iter [100050/160000] lr: 1.290e-05, eta: 11:44:03, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1518, decode.acc_seg: 93.4970, aux.loss_ce: 0.0949, aux.acc_seg: 90.5918, loss: 0.2467 2024-03-05 05:37:31,314 - mmseg - INFO - Iter [100100/160000] lr: 1.289e-05, eta: 11:43:27, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1487, decode.acc_seg: 93.4516, aux.loss_ce: 0.0871, aux.acc_seg: 91.0704, loss: 0.2358 2024-03-05 05:38:05,788 - mmseg - INFO - Iter [100150/160000] lr: 1.288e-05, eta: 11:42:52, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1580, decode.acc_seg: 93.2882, aux.loss_ce: 0.0978, aux.acc_seg: 90.4604, loss: 0.2558 2024-03-05 05:38:40,004 - mmseg - INFO - Iter [100200/160000] lr: 1.287e-05, eta: 11:42:16, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1603, decode.acc_seg: 92.9743, aux.loss_ce: 0.0977, aux.acc_seg: 90.0447, loss: 0.2580 2024-03-05 05:39:14,270 - mmseg - INFO - Iter [100250/160000] lr: 1.286e-05, eta: 11:41:40, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1505, decode.acc_seg: 93.3173, aux.loss_ce: 0.0941, aux.acc_seg: 90.4136, loss: 0.2446 2024-03-05 05:39:48,439 - mmseg - INFO - Iter [100300/160000] lr: 1.285e-05, eta: 11:41:04, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1442, decode.acc_seg: 93.7264, aux.loss_ce: 0.0901, aux.acc_seg: 91.0290, loss: 0.2344 2024-03-05 05:40:22,891 - mmseg - INFO - Iter [100350/160000] lr: 1.284e-05, eta: 11:40:28, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1526, decode.acc_seg: 93.4735, aux.loss_ce: 0.0933, aux.acc_seg: 90.8999, loss: 0.2460 2024-03-05 05:40:57,364 - mmseg - INFO - Iter [100400/160000] lr: 1.283e-05, eta: 11:39:53, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1496, decode.acc_seg: 93.4341, aux.loss_ce: 0.0895, aux.acc_seg: 90.7249, loss: 0.2391 2024-03-05 05:41:31,743 - mmseg - INFO - Iter [100450/160000] lr: 1.282e-05, eta: 11:39:17, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1569, decode.acc_seg: 93.2962, aux.loss_ce: 0.0946, aux.acc_seg: 90.5762, loss: 0.2515 2024-03-05 05:42:06,097 - mmseg - INFO - Iter [100500/160000] lr: 1.281e-05, eta: 11:38:41, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1660, decode.acc_seg: 92.8328, aux.loss_ce: 0.1007, aux.acc_seg: 89.9201, loss: 0.2666 2024-03-05 05:42:40,296 - mmseg - INFO - Iter [100550/160000] lr: 1.280e-05, eta: 11:38:05, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1588, decode.acc_seg: 93.0139, aux.loss_ce: 0.0969, aux.acc_seg: 89.9416, loss: 0.2557 2024-03-05 05:43:14,692 - mmseg - INFO - Iter [100600/160000] lr: 1.279e-05, eta: 11:37:30, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1660, decode.acc_seg: 92.9357, aux.loss_ce: 0.1024, aux.acc_seg: 89.8784, loss: 0.2684 2024-03-05 05:43:49,095 - mmseg - INFO - Iter [100650/160000] lr: 1.277e-05, eta: 11:36:54, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1427, decode.acc_seg: 93.6192, aux.loss_ce: 0.0870, aux.acc_seg: 90.9551, loss: 0.2297 2024-03-05 05:44:23,454 - mmseg - INFO - Iter [100700/160000] lr: 1.276e-05, eta: 11:36:18, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1531, decode.acc_seg: 93.2070, aux.loss_ce: 0.0942, aux.acc_seg: 90.4069, loss: 0.2473 2024-03-05 05:44:57,838 - mmseg - INFO - Iter [100750/160000] lr: 1.275e-05, eta: 11:35:42, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1535, decode.acc_seg: 93.3639, aux.loss_ce: 0.0946, aux.acc_seg: 90.7477, loss: 0.2481 2024-03-05 05:45:32,108 - mmseg - INFO - Iter [100800/160000] lr: 1.274e-05, eta: 11:35:07, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1515, decode.acc_seg: 93.3716, aux.loss_ce: 0.0938, aux.acc_seg: 90.3411, loss: 0.2453 2024-03-05 05:46:06,500 - mmseg - INFO - Iter [100850/160000] lr: 1.273e-05, eta: 11:34:31, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1561, decode.acc_seg: 93.2942, aux.loss_ce: 0.0966, aux.acc_seg: 90.3536, loss: 0.2527 2024-03-05 05:46:41,550 - mmseg - INFO - Iter [100900/160000] lr: 1.272e-05, eta: 11:33:56, time: 0.701, data_time: 0.020, memory: 9361, decode.loss_ce: 0.1554, decode.acc_seg: 93.3509, aux.loss_ce: 0.0951, aux.acc_seg: 90.5886, loss: 0.2505 2024-03-05 05:47:16,138 - mmseg - INFO - Iter [100950/160000] lr: 1.271e-05, eta: 11:33:20, time: 0.692, data_time: 0.015, memory: 9361, decode.loss_ce: 0.1482, decode.acc_seg: 93.4929, aux.loss_ce: 0.0911, aux.acc_seg: 90.8887, loss: 0.2393 2024-03-05 05:47:50,938 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 05:47:50,938 - mmseg - INFO - Iter [101000/160000] lr: 1.270e-05, eta: 11:32:45, time: 0.696, data_time: 0.014, memory: 9361, decode.loss_ce: 0.1494, decode.acc_seg: 93.4724, aux.loss_ce: 0.0914, aux.acc_seg: 90.6142, loss: 0.2408 2024-03-05 05:48:28,326 - mmseg - INFO - Iter [101050/160000] lr: 1.269e-05, eta: 11:32:11, time: 0.748, data_time: 0.068, memory: 9361, decode.loss_ce: 0.1523, decode.acc_seg: 93.3788, aux.loss_ce: 0.0939, aux.acc_seg: 90.5385, loss: 0.2462 2024-03-05 05:49:03,317 - mmseg - INFO - Iter [101100/160000] lr: 1.268e-05, eta: 11:31:35, time: 0.700, data_time: 0.018, memory: 9361, decode.loss_ce: 0.1529, decode.acc_seg: 93.3516, aux.loss_ce: 0.0957, aux.acc_seg: 90.2535, loss: 0.2486 2024-03-05 05:49:38,126 - mmseg - INFO - Iter [101150/160000] lr: 1.267e-05, eta: 11:31:00, time: 0.696, data_time: 0.020, memory: 9361, decode.loss_ce: 0.1620, decode.acc_seg: 93.0148, aux.loss_ce: 0.0957, aux.acc_seg: 90.4109, loss: 0.2578 2024-03-05 05:50:12,683 - mmseg - INFO - Iter [101200/160000] lr: 1.266e-05, eta: 11:30:24, time: 0.691, data_time: 0.016, memory: 9361, decode.loss_ce: 0.1447, decode.acc_seg: 93.5755, aux.loss_ce: 0.0903, aux.acc_seg: 90.7117, loss: 0.2350 2024-03-05 05:50:47,002 - mmseg - INFO - Iter [101250/160000] lr: 1.265e-05, eta: 11:29:48, time: 0.686, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1549, decode.acc_seg: 93.4097, aux.loss_ce: 0.0960, aux.acc_seg: 90.4066, loss: 0.2509 2024-03-05 05:51:21,605 - mmseg - INFO - Iter [101300/160000] lr: 1.263e-05, eta: 11:29:13, time: 0.692, data_time: 0.016, memory: 9361, decode.loss_ce: 0.1493, decode.acc_seg: 93.4832, aux.loss_ce: 0.0901, aux.acc_seg: 90.8072, loss: 0.2394 2024-03-05 05:51:56,298 - mmseg - INFO - Iter [101350/160000] lr: 1.262e-05, eta: 11:28:37, time: 0.694, data_time: 0.016, memory: 9361, decode.loss_ce: 0.1628, decode.acc_seg: 92.9748, aux.loss_ce: 0.1013, aux.acc_seg: 89.9279, loss: 0.2641 2024-03-05 05:52:31,105 - mmseg - INFO - Iter [101400/160000] lr: 1.261e-05, eta: 11:28:02, time: 0.696, data_time: 0.015, memory: 9361, decode.loss_ce: 0.1514, decode.acc_seg: 93.5103, aux.loss_ce: 0.0943, aux.acc_seg: 90.5753, loss: 0.2456 2024-03-05 05:53:05,764 - mmseg - INFO - Iter [101450/160000] lr: 1.260e-05, eta: 11:27:26, time: 0.693, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1530, decode.acc_seg: 93.4950, aux.loss_ce: 0.0932, aux.acc_seg: 90.8390, loss: 0.2462 2024-03-05 05:53:40,536 - mmseg - INFO - Iter [101500/160000] lr: 1.259e-05, eta: 11:26:51, time: 0.695, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1494, decode.acc_seg: 93.6646, aux.loss_ce: 0.0951, aux.acc_seg: 90.6970, loss: 0.2445 2024-03-05 05:54:15,385 - mmseg - INFO - Iter [101550/160000] lr: 1.258e-05, eta: 11:26:15, time: 0.697, data_time: 0.016, memory: 9361, decode.loss_ce: 0.1599, decode.acc_seg: 92.9625, aux.loss_ce: 0.0977, aux.acc_seg: 89.9990, loss: 0.2576 2024-03-05 05:54:49,739 - mmseg - INFO - Iter [101600/160000] lr: 1.257e-05, eta: 11:25:40, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1599, decode.acc_seg: 93.0298, aux.loss_ce: 0.0991, aux.acc_seg: 89.9431, loss: 0.2591 2024-03-05 05:55:24,080 - mmseg - INFO - Iter [101650/160000] lr: 1.256e-05, eta: 11:25:04, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1467, decode.acc_seg: 93.6362, aux.loss_ce: 0.0909, aux.acc_seg: 90.8131, loss: 0.2376 2024-03-05 05:55:58,609 - mmseg - INFO - Iter [101700/160000] lr: 1.255e-05, eta: 11:24:28, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1476, decode.acc_seg: 93.5959, aux.loss_ce: 0.0915, aux.acc_seg: 90.8151, loss: 0.2391 2024-03-05 05:56:33,100 - mmseg - INFO - Iter [101750/160000] lr: 1.254e-05, eta: 11:23:53, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1554, decode.acc_seg: 93.2974, aux.loss_ce: 0.0983, aux.acc_seg: 90.1394, loss: 0.2537 2024-03-05 05:57:07,365 - mmseg - INFO - Iter [101800/160000] lr: 1.253e-05, eta: 11:23:17, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1635, decode.acc_seg: 93.0020, aux.loss_ce: 0.1028, aux.acc_seg: 89.8546, loss: 0.2662 2024-03-05 05:57:41,795 - mmseg - INFO - Iter [101850/160000] lr: 1.252e-05, eta: 11:22:41, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1669, decode.acc_seg: 93.1894, aux.loss_ce: 0.1001, aux.acc_seg: 90.2306, loss: 0.2671 2024-03-05 05:58:16,238 - mmseg - INFO - Iter [101900/160000] lr: 1.251e-05, eta: 11:22:06, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1538, decode.acc_seg: 93.4585, aux.loss_ce: 0.0948, aux.acc_seg: 90.6569, loss: 0.2486 2024-03-05 05:58:50,398 - mmseg - INFO - Iter [101950/160000] lr: 1.249e-05, eta: 11:21:30, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1484, decode.acc_seg: 93.4927, aux.loss_ce: 0.0896, aux.acc_seg: 90.9042, loss: 0.2380 2024-03-05 05:59:24,590 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 05:59:24,590 - mmseg - INFO - Iter [102000/160000] lr: 1.248e-05, eta: 11:20:54, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1531, decode.acc_seg: 93.3853, aux.loss_ce: 0.0932, aux.acc_seg: 90.6132, loss: 0.2462 2024-03-05 05:59:58,805 - mmseg - INFO - Iter [102050/160000] lr: 1.247e-05, eta: 11:20:18, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1509, decode.acc_seg: 93.5222, aux.loss_ce: 0.0938, aux.acc_seg: 90.6993, loss: 0.2447 2024-03-05 06:00:33,189 - mmseg - INFO - Iter [102100/160000] lr: 1.246e-05, eta: 11:19:42, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1580, decode.acc_seg: 93.1056, aux.loss_ce: 0.0930, aux.acc_seg: 90.4022, loss: 0.2510 2024-03-05 06:01:07,517 - mmseg - INFO - Iter [102150/160000] lr: 1.245e-05, eta: 11:19:07, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1539, decode.acc_seg: 93.1903, aux.loss_ce: 0.0966, aux.acc_seg: 89.9838, loss: 0.2505 2024-03-05 06:01:41,885 - mmseg - INFO - Iter [102200/160000] lr: 1.244e-05, eta: 11:18:31, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1515, decode.acc_seg: 93.4740, aux.loss_ce: 0.0958, aux.acc_seg: 90.5560, loss: 0.2473 2024-03-05 06:02:16,235 - mmseg - INFO - Iter [102250/160000] lr: 1.243e-05, eta: 11:17:55, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1553, decode.acc_seg: 93.3339, aux.loss_ce: 0.0958, aux.acc_seg: 90.4850, loss: 0.2511 2024-03-05 06:02:50,860 - mmseg - INFO - Iter [102300/160000] lr: 1.242e-05, eta: 11:17:20, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1476, decode.acc_seg: 93.5507, aux.loss_ce: 0.0879, aux.acc_seg: 91.1047, loss: 0.2355 2024-03-05 06:03:28,250 - mmseg - INFO - Iter [102350/160000] lr: 1.241e-05, eta: 11:16:46, time: 0.747, data_time: 0.066, memory: 9361, decode.loss_ce: 0.1496, decode.acc_seg: 93.3540, aux.loss_ce: 0.0893, aux.acc_seg: 90.9069, loss: 0.2389 2024-03-05 06:04:02,583 - mmseg - INFO - Iter [102400/160000] lr: 1.240e-05, eta: 11:16:10, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1413, decode.acc_seg: 93.7489, aux.loss_ce: 0.0888, aux.acc_seg: 90.8647, loss: 0.2301 2024-03-05 06:04:37,171 - mmseg - INFO - Iter [102450/160000] lr: 1.239e-05, eta: 11:15:34, time: 0.692, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1448, decode.acc_seg: 93.6885, aux.loss_ce: 0.0923, aux.acc_seg: 90.6134, loss: 0.2371 2024-03-05 06:05:11,631 - mmseg - INFO - Iter [102500/160000] lr: 1.238e-05, eta: 11:14:59, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1504, decode.acc_seg: 93.4222, aux.loss_ce: 0.0923, aux.acc_seg: 90.5577, loss: 0.2428 2024-03-05 06:05:45,941 - mmseg - INFO - Iter [102550/160000] lr: 1.237e-05, eta: 11:14:23, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1512, decode.acc_seg: 93.6020, aux.loss_ce: 0.0895, aux.acc_seg: 91.1429, loss: 0.2407 2024-03-05 06:06:20,462 - mmseg - INFO - Iter [102600/160000] lr: 1.235e-05, eta: 11:13:47, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1533, decode.acc_seg: 93.3769, aux.loss_ce: 0.0928, aux.acc_seg: 90.6808, loss: 0.2461 2024-03-05 06:06:54,838 - mmseg - INFO - Iter [102650/160000] lr: 1.234e-05, eta: 11:13:12, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1470, decode.acc_seg: 93.6329, aux.loss_ce: 0.0917, aux.acc_seg: 90.6861, loss: 0.2387 2024-03-05 06:07:29,322 - mmseg - INFO - Iter [102700/160000] lr: 1.233e-05, eta: 11:12:36, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1523, decode.acc_seg: 93.3117, aux.loss_ce: 0.0923, aux.acc_seg: 90.6090, loss: 0.2445 2024-03-05 06:08:03,717 - mmseg - INFO - Iter [102750/160000] lr: 1.232e-05, eta: 11:12:01, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1606, decode.acc_seg: 93.0959, aux.loss_ce: 0.0978, aux.acc_seg: 90.2406, loss: 0.2584 2024-03-05 06:08:38,256 - mmseg - INFO - Iter [102800/160000] lr: 1.231e-05, eta: 11:11:25, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1455, decode.acc_seg: 93.5942, aux.loss_ce: 0.0914, aux.acc_seg: 90.7556, loss: 0.2369 2024-03-05 06:09:12,591 - mmseg - INFO - Iter [102850/160000] lr: 1.230e-05, eta: 11:10:49, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1498, decode.acc_seg: 93.6324, aux.loss_ce: 0.0920, aux.acc_seg: 90.7762, loss: 0.2418 2024-03-05 06:09:47,135 - mmseg - INFO - Iter [102900/160000] lr: 1.229e-05, eta: 11:10:14, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1488, decode.acc_seg: 93.4916, aux.loss_ce: 0.0920, aux.acc_seg: 90.6845, loss: 0.2407 2024-03-05 06:10:21,567 - mmseg - INFO - Iter [102950/160000] lr: 1.228e-05, eta: 11:09:38, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1443, decode.acc_seg: 93.7703, aux.loss_ce: 0.0903, aux.acc_seg: 90.9230, loss: 0.2346 2024-03-05 06:10:55,957 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 06:10:55,958 - mmseg - INFO - Iter [103000/160000] lr: 1.227e-05, eta: 11:09:02, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1561, decode.acc_seg: 93.4567, aux.loss_ce: 0.0965, aux.acc_seg: 90.6453, loss: 0.2526 2024-03-05 06:11:30,392 - mmseg - INFO - Iter [103050/160000] lr: 1.226e-05, eta: 11:08:27, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1515, decode.acc_seg: 93.3516, aux.loss_ce: 0.0901, aux.acc_seg: 90.8231, loss: 0.2416 2024-03-05 06:12:05,000 - mmseg - INFO - Iter [103100/160000] lr: 1.225e-05, eta: 11:07:51, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1578, decode.acc_seg: 93.1418, aux.loss_ce: 0.0956, aux.acc_seg: 90.4906, loss: 0.2534 2024-03-05 06:12:39,570 - mmseg - INFO - Iter [103150/160000] lr: 1.224e-05, eta: 11:07:16, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1641, decode.acc_seg: 93.0562, aux.loss_ce: 0.1004, aux.acc_seg: 90.1260, loss: 0.2646 2024-03-05 06:13:13,904 - mmseg - INFO - Iter [103200/160000] lr: 1.223e-05, eta: 11:06:40, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1524, decode.acc_seg: 93.2785, aux.loss_ce: 0.0930, aux.acc_seg: 90.6267, loss: 0.2454 2024-03-05 06:13:48,175 - mmseg - INFO - Iter [103250/160000] lr: 1.221e-05, eta: 11:06:04, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1465, decode.acc_seg: 93.5568, aux.loss_ce: 0.0913, aux.acc_seg: 90.8229, loss: 0.2379 2024-03-05 06:14:22,609 - mmseg - INFO - Iter [103300/160000] lr: 1.220e-05, eta: 11:05:28, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1473, decode.acc_seg: 93.5693, aux.loss_ce: 0.0918, aux.acc_seg: 90.8259, loss: 0.2390 2024-03-05 06:14:56,988 - mmseg - INFO - Iter [103350/160000] lr: 1.219e-05, eta: 11:04:53, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1518, decode.acc_seg: 93.2892, aux.loss_ce: 0.0935, aux.acc_seg: 90.4702, loss: 0.2453 2024-03-05 06:15:31,352 - mmseg - INFO - Iter [103400/160000] lr: 1.218e-05, eta: 11:04:17, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1654, decode.acc_seg: 92.9233, aux.loss_ce: 0.1006, aux.acc_seg: 90.0255, loss: 0.2660 2024-03-05 06:16:05,645 - mmseg - INFO - Iter [103450/160000] lr: 1.217e-05, eta: 11:03:41, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1540, decode.acc_seg: 93.3375, aux.loss_ce: 0.0939, aux.acc_seg: 90.5235, loss: 0.2479 2024-03-05 06:16:39,893 - mmseg - INFO - Iter [103500/160000] lr: 1.216e-05, eta: 11:03:06, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1560, decode.acc_seg: 93.1722, aux.loss_ce: 0.0942, aux.acc_seg: 90.5420, loss: 0.2503 2024-03-05 06:17:14,113 - mmseg - INFO - Iter [103550/160000] lr: 1.215e-05, eta: 11:02:30, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1583, decode.acc_seg: 93.0461, aux.loss_ce: 0.0960, aux.acc_seg: 90.1609, loss: 0.2542 2024-03-05 06:17:51,655 - mmseg - INFO - Iter [103600/160000] lr: 1.214e-05, eta: 11:01:56, time: 0.751, data_time: 0.065, memory: 9361, decode.loss_ce: 0.1533, decode.acc_seg: 93.3736, aux.loss_ce: 0.0944, aux.acc_seg: 90.5289, loss: 0.2476 2024-03-05 06:18:26,017 - mmseg - INFO - Iter [103650/160000] lr: 1.213e-05, eta: 11:01:20, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1480, decode.acc_seg: 93.4869, aux.loss_ce: 0.0909, aux.acc_seg: 90.7673, loss: 0.2389 2024-03-05 06:19:00,035 - mmseg - INFO - Iter [103700/160000] lr: 1.212e-05, eta: 11:00:44, time: 0.680, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1613, decode.acc_seg: 93.1179, aux.loss_ce: 0.0971, aux.acc_seg: 90.5404, loss: 0.2585 2024-03-05 06:19:34,491 - mmseg - INFO - Iter [103750/160000] lr: 1.211e-05, eta: 11:00:09, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1592, decode.acc_seg: 93.1804, aux.loss_ce: 0.0955, aux.acc_seg: 90.5461, loss: 0.2548 2024-03-05 06:20:09,043 - mmseg - INFO - Iter [103800/160000] lr: 1.210e-05, eta: 10:59:33, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1612, decode.acc_seg: 93.0849, aux.loss_ce: 0.0948, aux.acc_seg: 90.2971, loss: 0.2561 2024-03-05 06:20:43,420 - mmseg - INFO - Iter [103850/160000] lr: 1.209e-05, eta: 10:58:58, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1623, decode.acc_seg: 92.9915, aux.loss_ce: 0.0997, aux.acc_seg: 90.0916, loss: 0.2619 2024-03-05 06:21:17,734 - mmseg - INFO - Iter [103900/160000] lr: 1.207e-05, eta: 10:58:22, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1574, decode.acc_seg: 93.2871, aux.loss_ce: 0.0933, aux.acc_seg: 90.6819, loss: 0.2507 2024-03-05 06:21:52,137 - mmseg - INFO - Iter [103950/160000] lr: 1.206e-05, eta: 10:57:46, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1543, decode.acc_seg: 93.2916, aux.loss_ce: 0.0933, aux.acc_seg: 90.5352, loss: 0.2477 2024-03-05 06:22:26,678 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 06:22:26,678 - mmseg - INFO - Iter [104000/160000] lr: 1.205e-05, eta: 10:57:11, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1451, decode.acc_seg: 93.8251, aux.loss_ce: 0.0875, aux.acc_seg: 91.2967, loss: 0.2326 2024-03-05 06:23:01,167 - mmseg - INFO - Iter [104050/160000] lr: 1.204e-05, eta: 10:56:35, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1566, decode.acc_seg: 93.3012, aux.loss_ce: 0.0971, aux.acc_seg: 90.4175, loss: 0.2537 2024-03-05 06:23:35,552 - mmseg - INFO - Iter [104100/160000] lr: 1.203e-05, eta: 10:56:00, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1531, decode.acc_seg: 93.2584, aux.loss_ce: 0.0957, aux.acc_seg: 90.3610, loss: 0.2489 2024-03-05 06:24:10,048 - mmseg - INFO - Iter [104150/160000] lr: 1.202e-05, eta: 10:55:24, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1532, decode.acc_seg: 93.2875, aux.loss_ce: 0.0936, aux.acc_seg: 90.5378, loss: 0.2468 2024-03-05 06:24:44,330 - mmseg - INFO - Iter [104200/160000] lr: 1.201e-05, eta: 10:54:48, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1604, decode.acc_seg: 93.0428, aux.loss_ce: 0.0966, aux.acc_seg: 90.4011, loss: 0.2570 2024-03-05 06:25:18,641 - mmseg - INFO - Iter [104250/160000] lr: 1.200e-05, eta: 10:54:13, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1529, decode.acc_seg: 93.4008, aux.loss_ce: 0.0933, aux.acc_seg: 90.5548, loss: 0.2463 2024-03-05 06:25:52,994 - mmseg - INFO - Iter [104300/160000] lr: 1.199e-05, eta: 10:53:37, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1495, decode.acc_seg: 93.4749, aux.loss_ce: 0.0913, aux.acc_seg: 90.6942, loss: 0.2407 2024-03-05 06:26:27,397 - mmseg - INFO - Iter [104350/160000] lr: 1.198e-05, eta: 10:53:01, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1566, decode.acc_seg: 93.3328, aux.loss_ce: 0.0950, aux.acc_seg: 90.6439, loss: 0.2515 2024-03-05 06:27:02,078 - mmseg - INFO - Iter [104400/160000] lr: 1.197e-05, eta: 10:52:26, time: 0.694, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1608, decode.acc_seg: 93.1312, aux.loss_ce: 0.1014, aux.acc_seg: 89.9411, loss: 0.2622 2024-03-05 06:27:36,576 - mmseg - INFO - Iter [104450/160000] lr: 1.196e-05, eta: 10:51:50, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1499, decode.acc_seg: 93.5072, aux.loss_ce: 0.0915, aux.acc_seg: 90.8362, loss: 0.2414 2024-03-05 06:28:10,877 - mmseg - INFO - Iter [104500/160000] lr: 1.195e-05, eta: 10:51:15, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1526, decode.acc_seg: 93.3735, aux.loss_ce: 0.0940, aux.acc_seg: 90.4513, loss: 0.2466 2024-03-05 06:28:45,420 - mmseg - INFO - Iter [104550/160000] lr: 1.193e-05, eta: 10:50:39, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1510, decode.acc_seg: 93.4934, aux.loss_ce: 0.0916, aux.acc_seg: 90.8236, loss: 0.2426 2024-03-05 06:29:19,993 - mmseg - INFO - Iter [104600/160000] lr: 1.192e-05, eta: 10:50:03, time: 0.691, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1487, decode.acc_seg: 93.3824, aux.loss_ce: 0.0909, aux.acc_seg: 90.7703, loss: 0.2396 2024-03-05 06:29:54,482 - mmseg - INFO - Iter [104650/160000] lr: 1.191e-05, eta: 10:49:28, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1542, decode.acc_seg: 93.3044, aux.loss_ce: 0.0944, aux.acc_seg: 90.4625, loss: 0.2486 2024-03-05 06:30:28,700 - mmseg - INFO - Iter [104700/160000] lr: 1.190e-05, eta: 10:48:52, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1526, decode.acc_seg: 93.5101, aux.loss_ce: 0.0941, aux.acc_seg: 90.6329, loss: 0.2467 2024-03-05 06:31:03,313 - mmseg - INFO - Iter [104750/160000] lr: 1.189e-05, eta: 10:48:17, time: 0.692, data_time: 0.015, memory: 9361, decode.loss_ce: 0.1500, decode.acc_seg: 93.4845, aux.loss_ce: 0.0895, aux.acc_seg: 90.9261, loss: 0.2395 2024-03-05 06:31:38,264 - mmseg - INFO - Iter [104800/160000] lr: 1.188e-05, eta: 10:47:41, time: 0.699, data_time: 0.018, memory: 9361, decode.loss_ce: 0.1491, decode.acc_seg: 93.4931, aux.loss_ce: 0.0915, aux.acc_seg: 90.7551, loss: 0.2407 2024-03-05 06:32:15,949 - mmseg - INFO - Iter [104850/160000] lr: 1.187e-05, eta: 10:47:07, time: 0.754, data_time: 0.071, memory: 9361, decode.loss_ce: 0.1578, decode.acc_seg: 93.2789, aux.loss_ce: 0.0952, aux.acc_seg: 90.5814, loss: 0.2530 2024-03-05 06:32:50,350 - mmseg - INFO - Iter [104900/160000] lr: 1.186e-05, eta: 10:46:32, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1462, decode.acc_seg: 93.7047, aux.loss_ce: 0.0892, aux.acc_seg: 91.0495, loss: 0.2354 2024-03-05 06:33:25,016 - mmseg - INFO - Iter [104950/160000] lr: 1.185e-05, eta: 10:45:56, time: 0.693, data_time: 0.014, memory: 9361, decode.loss_ce: 0.1429, decode.acc_seg: 93.8085, aux.loss_ce: 0.0893, aux.acc_seg: 91.0132, loss: 0.2322 2024-03-05 06:33:59,520 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 06:33:59,520 - mmseg - INFO - Iter [105000/160000] lr: 1.184e-05, eta: 10:45:21, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1575, decode.acc_seg: 93.1872, aux.loss_ce: 0.0941, aux.acc_seg: 90.4759, loss: 0.2516 2024-03-05 06:34:33,919 - mmseg - INFO - Iter [105050/160000] lr: 1.183e-05, eta: 10:44:45, time: 0.688, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1456, decode.acc_seg: 93.6399, aux.loss_ce: 0.0916, aux.acc_seg: 90.7486, loss: 0.2372 2024-03-05 06:35:08,233 - mmseg - INFO - Iter [105100/160000] lr: 1.182e-05, eta: 10:44:09, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1574, decode.acc_seg: 93.0019, aux.loss_ce: 0.0964, aux.acc_seg: 90.1701, loss: 0.2538 2024-03-05 06:35:42,404 - mmseg - INFO - Iter [105150/160000] lr: 1.181e-05, eta: 10:43:34, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1508, decode.acc_seg: 93.3352, aux.loss_ce: 0.0929, aux.acc_seg: 90.5491, loss: 0.2436 2024-03-05 06:36:16,885 - mmseg - INFO - Iter [105200/160000] lr: 1.180e-05, eta: 10:42:58, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1507, decode.acc_seg: 93.4748, aux.loss_ce: 0.0891, aux.acc_seg: 90.9789, loss: 0.2398 2024-03-05 06:36:51,199 - mmseg - INFO - Iter [105250/160000] lr: 1.178e-05, eta: 10:42:22, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1388, decode.acc_seg: 93.9090, aux.loss_ce: 0.0831, aux.acc_seg: 91.4286, loss: 0.2219 2024-03-05 06:37:25,674 - mmseg - INFO - Iter [105300/160000] lr: 1.177e-05, eta: 10:41:47, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1512, decode.acc_seg: 93.4418, aux.loss_ce: 0.0928, aux.acc_seg: 90.6877, loss: 0.2440 2024-03-05 06:38:00,287 - mmseg - INFO - Iter [105350/160000] lr: 1.176e-05, eta: 10:41:11, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1619, decode.acc_seg: 93.0608, aux.loss_ce: 0.0965, aux.acc_seg: 90.3750, loss: 0.2584 2024-03-05 06:38:34,797 - mmseg - INFO - Iter [105400/160000] lr: 1.175e-05, eta: 10:40:36, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1553, decode.acc_seg: 93.2121, aux.loss_ce: 0.0911, aux.acc_seg: 90.8630, loss: 0.2464 2024-03-05 06:39:09,483 - mmseg - INFO - Iter [105450/160000] lr: 1.174e-05, eta: 10:40:00, time: 0.693, data_time: 0.014, memory: 9361, decode.loss_ce: 0.1507, decode.acc_seg: 93.4364, aux.loss_ce: 0.0886, aux.acc_seg: 91.0263, loss: 0.2393 2024-03-05 06:39:44,099 - mmseg - INFO - Iter [105500/160000] lr: 1.173e-05, eta: 10:39:25, time: 0.693, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1439, decode.acc_seg: 93.6176, aux.loss_ce: 0.0879, aux.acc_seg: 90.9814, loss: 0.2318 2024-03-05 06:40:19,032 - mmseg - INFO - Iter [105550/160000] lr: 1.172e-05, eta: 10:38:50, time: 0.699, data_time: 0.018, memory: 9361, decode.loss_ce: 0.1475, decode.acc_seg: 93.5490, aux.loss_ce: 0.0902, aux.acc_seg: 90.7981, loss: 0.2377 2024-03-05 06:40:53,715 - mmseg - INFO - Iter [105600/160000] lr: 1.171e-05, eta: 10:38:14, time: 0.694, data_time: 0.014, memory: 9361, decode.loss_ce: 0.1505, decode.acc_seg: 93.4415, aux.loss_ce: 0.0934, aux.acc_seg: 90.6862, loss: 0.2439 2024-03-05 06:41:28,657 - mmseg - INFO - Iter [105650/160000] lr: 1.170e-05, eta: 10:37:39, time: 0.699, data_time: 0.017, memory: 9361, decode.loss_ce: 0.1498, decode.acc_seg: 93.5491, aux.loss_ce: 0.0930, aux.acc_seg: 90.6745, loss: 0.2428 2024-03-05 06:42:03,183 - mmseg - INFO - Iter [105700/160000] lr: 1.169e-05, eta: 10:37:03, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1470, decode.acc_seg: 93.4807, aux.loss_ce: 0.0878, aux.acc_seg: 90.9923, loss: 0.2349 2024-03-05 06:42:37,489 - mmseg - INFO - Iter [105750/160000] lr: 1.168e-05, eta: 10:36:28, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1463, decode.acc_seg: 93.5686, aux.loss_ce: 0.0876, aux.acc_seg: 90.9908, loss: 0.2339 2024-03-05 06:43:11,902 - mmseg - INFO - Iter [105800/160000] lr: 1.167e-05, eta: 10:35:52, time: 0.688, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1453, decode.acc_seg: 93.5530, aux.loss_ce: 0.0903, aux.acc_seg: 90.7752, loss: 0.2356 2024-03-05 06:43:46,409 - mmseg - INFO - Iter [105850/160000] lr: 1.166e-05, eta: 10:35:16, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1441, decode.acc_seg: 93.5491, aux.loss_ce: 0.0894, aux.acc_seg: 90.7824, loss: 0.2335 2024-03-05 06:44:20,962 - mmseg - INFO - Iter [105900/160000] lr: 1.164e-05, eta: 10:34:41, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1521, decode.acc_seg: 93.3344, aux.loss_ce: 0.0945, aux.acc_seg: 90.6064, loss: 0.2466 2024-03-05 06:44:55,187 - mmseg - INFO - Iter [105950/160000] lr: 1.163e-05, eta: 10:34:05, time: 0.684, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1398, decode.acc_seg: 94.0338, aux.loss_ce: 0.0867, aux.acc_seg: 91.2445, loss: 0.2265 2024-03-05 06:45:29,592 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 06:45:29,593 - mmseg - INFO - Iter [106000/160000] lr: 1.162e-05, eta: 10:33:30, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1475, decode.acc_seg: 93.4990, aux.loss_ce: 0.0898, aux.acc_seg: 90.9091, loss: 0.2374 2024-03-05 06:46:03,866 - mmseg - INFO - Iter [106050/160000] lr: 1.161e-05, eta: 10:32:54, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1465, decode.acc_seg: 93.6562, aux.loss_ce: 0.0886, aux.acc_seg: 91.2126, loss: 0.2351 2024-03-05 06:46:41,114 - mmseg - INFO - Iter [106100/160000] lr: 1.160e-05, eta: 10:32:20, time: 0.745, data_time: 0.060, memory: 9361, decode.loss_ce: 0.1563, decode.acc_seg: 93.2823, aux.loss_ce: 0.0941, aux.acc_seg: 90.6164, loss: 0.2504 2024-03-05 06:47:15,758 - mmseg - INFO - Iter [106150/160000] lr: 1.159e-05, eta: 10:31:44, time: 0.693, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1518, decode.acc_seg: 93.3389, aux.loss_ce: 0.0941, aux.acc_seg: 90.5445, loss: 0.2459 2024-03-05 06:47:50,355 - mmseg - INFO - Iter [106200/160000] lr: 1.158e-05, eta: 10:31:09, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1441, decode.acc_seg: 93.6429, aux.loss_ce: 0.0875, aux.acc_seg: 91.0956, loss: 0.2317 2024-03-05 06:48:24,740 - mmseg - INFO - Iter [106250/160000] lr: 1.157e-05, eta: 10:30:33, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1526, decode.acc_seg: 93.2127, aux.loss_ce: 0.0932, aux.acc_seg: 90.5410, loss: 0.2458 2024-03-05 06:48:59,269 - mmseg - INFO - Iter [106300/160000] lr: 1.156e-05, eta: 10:29:58, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1481, decode.acc_seg: 93.6576, aux.loss_ce: 0.0896, aux.acc_seg: 91.0234, loss: 0.2377 2024-03-05 06:49:33,620 - mmseg - INFO - Iter [106350/160000] lr: 1.155e-05, eta: 10:29:22, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1542, decode.acc_seg: 93.3572, aux.loss_ce: 0.0965, aux.acc_seg: 90.3382, loss: 0.2507 2024-03-05 06:50:08,112 - mmseg - INFO - Iter [106400/160000] lr: 1.154e-05, eta: 10:28:46, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1505, decode.acc_seg: 93.5468, aux.loss_ce: 0.0910, aux.acc_seg: 90.9376, loss: 0.2416 2024-03-05 06:50:42,555 - mmseg - INFO - Iter [106450/160000] lr: 1.153e-05, eta: 10:28:11, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1431, decode.acc_seg: 93.7352, aux.loss_ce: 0.0856, aux.acc_seg: 91.2280, loss: 0.2287 2024-03-05 06:51:17,076 - mmseg - INFO - Iter [106500/160000] lr: 1.152e-05, eta: 10:27:35, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1522, decode.acc_seg: 93.4640, aux.loss_ce: 0.0929, aux.acc_seg: 90.8634, loss: 0.2450 2024-03-05 06:51:51,659 - mmseg - INFO - Iter [106550/160000] lr: 1.150e-05, eta: 10:27:00, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1494, decode.acc_seg: 93.6008, aux.loss_ce: 0.0895, aux.acc_seg: 91.0765, loss: 0.2389 2024-03-05 06:52:26,303 - mmseg - INFO - Iter [106600/160000] lr: 1.149e-05, eta: 10:26:24, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1375, decode.acc_seg: 94.0602, aux.loss_ce: 0.0840, aux.acc_seg: 91.5087, loss: 0.2215 2024-03-05 06:53:00,664 - mmseg - INFO - Iter [106650/160000] lr: 1.148e-05, eta: 10:25:49, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1437, decode.acc_seg: 93.4957, aux.loss_ce: 0.0883, aux.acc_seg: 90.8666, loss: 0.2320 2024-03-05 06:53:34,907 - mmseg - INFO - Iter [106700/160000] lr: 1.147e-05, eta: 10:25:13, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1486, decode.acc_seg: 93.6507, aux.loss_ce: 0.0891, aux.acc_seg: 91.0509, loss: 0.2377 2024-03-05 06:54:09,189 - mmseg - INFO - Iter [106750/160000] lr: 1.146e-05, eta: 10:24:38, time: 0.686, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1459, decode.acc_seg: 93.6887, aux.loss_ce: 0.0888, aux.acc_seg: 91.1594, loss: 0.2347 2024-03-05 06:54:43,492 - mmseg - INFO - Iter [106800/160000] lr: 1.145e-05, eta: 10:24:02, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1558, decode.acc_seg: 93.3114, aux.loss_ce: 0.0952, aux.acc_seg: 90.4119, loss: 0.2510 2024-03-05 06:55:17,882 - mmseg - INFO - Iter [106850/160000] lr: 1.144e-05, eta: 10:23:26, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1468, decode.acc_seg: 93.4877, aux.loss_ce: 0.0896, aux.acc_seg: 90.7871, loss: 0.2365 2024-03-05 06:55:52,225 - mmseg - INFO - Iter [106900/160000] lr: 1.143e-05, eta: 10:22:51, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1452, decode.acc_seg: 93.6781, aux.loss_ce: 0.0877, aux.acc_seg: 91.0649, loss: 0.2329 2024-03-05 06:56:26,473 - mmseg - INFO - Iter [106950/160000] lr: 1.142e-05, eta: 10:22:15, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1511, decode.acc_seg: 93.5652, aux.loss_ce: 0.0922, aux.acc_seg: 90.9924, loss: 0.2433 2024-03-05 06:57:00,911 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 06:57:00,911 - mmseg - INFO - Iter [107000/160000] lr: 1.141e-05, eta: 10:21:39, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1479, decode.acc_seg: 93.6563, aux.loss_ce: 0.0895, aux.acc_seg: 91.0366, loss: 0.2374 2024-03-05 06:57:35,425 - mmseg - INFO - Iter [107050/160000] lr: 1.140e-05, eta: 10:21:04, time: 0.690, data_time: 0.015, memory: 9361, decode.loss_ce: 0.1560, decode.acc_seg: 93.2668, aux.loss_ce: 0.0939, aux.acc_seg: 90.6536, loss: 0.2498 2024-03-05 06:58:10,038 - mmseg - INFO - Iter [107100/160000] lr: 1.139e-05, eta: 10:20:28, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1514, decode.acc_seg: 93.3161, aux.loss_ce: 0.0933, aux.acc_seg: 90.3873, loss: 0.2447 2024-03-05 06:58:44,550 - mmseg - INFO - Iter [107150/160000] lr: 1.138e-05, eta: 10:19:53, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1549, decode.acc_seg: 93.4502, aux.loss_ce: 0.0976, aux.acc_seg: 90.4171, loss: 0.2525 2024-03-05 06:59:18,865 - mmseg - INFO - Iter [107200/160000] lr: 1.136e-05, eta: 10:19:17, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1516, decode.acc_seg: 93.4687, aux.loss_ce: 0.0924, aux.acc_seg: 90.6824, loss: 0.2440 2024-03-05 06:59:53,313 - mmseg - INFO - Iter [107250/160000] lr: 1.135e-05, eta: 10:18:42, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1460, decode.acc_seg: 93.7363, aux.loss_ce: 0.0932, aux.acc_seg: 90.8270, loss: 0.2392 2024-03-05 07:00:27,725 - mmseg - INFO - Iter [107300/160000] lr: 1.134e-05, eta: 10:18:06, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1489, decode.acc_seg: 93.6067, aux.loss_ce: 0.0891, aux.acc_seg: 91.3003, loss: 0.2380 2024-03-05 07:01:02,075 - mmseg - INFO - Iter [107350/160000] lr: 1.133e-05, eta: 10:17:31, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1514, decode.acc_seg: 93.4862, aux.loss_ce: 0.0928, aux.acc_seg: 90.7721, loss: 0.2441 2024-03-05 07:01:39,554 - mmseg - INFO - Iter [107400/160000] lr: 1.132e-05, eta: 10:16:57, time: 0.750, data_time: 0.061, memory: 9361, decode.loss_ce: 0.1441, decode.acc_seg: 93.5720, aux.loss_ce: 0.0889, aux.acc_seg: 90.7960, loss: 0.2329 2024-03-05 07:02:14,014 - mmseg - INFO - Iter [107450/160000] lr: 1.131e-05, eta: 10:16:21, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1498, decode.acc_seg: 93.4075, aux.loss_ce: 0.0896, aux.acc_seg: 90.8130, loss: 0.2395 2024-03-05 07:02:48,327 - mmseg - INFO - Iter [107500/160000] lr: 1.130e-05, eta: 10:15:45, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1517, decode.acc_seg: 93.4540, aux.loss_ce: 0.0931, aux.acc_seg: 90.7938, loss: 0.2447 2024-03-05 07:03:22,736 - mmseg - INFO - Iter [107550/160000] lr: 1.129e-05, eta: 10:15:10, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1461, decode.acc_seg: 93.5867, aux.loss_ce: 0.0862, aux.acc_seg: 91.1165, loss: 0.2323 2024-03-05 07:03:56,969 - mmseg - INFO - Iter [107600/160000] lr: 1.128e-05, eta: 10:14:34, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1437, decode.acc_seg: 93.7700, aux.loss_ce: 0.0870, aux.acc_seg: 91.1966, loss: 0.2307 2024-03-05 07:04:31,446 - mmseg - INFO - Iter [107650/160000] lr: 1.127e-05, eta: 10:13:59, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1556, decode.acc_seg: 93.0970, aux.loss_ce: 0.0976, aux.acc_seg: 89.9817, loss: 0.2532 2024-03-05 07:05:05,793 - mmseg - INFO - Iter [107700/160000] lr: 1.126e-05, eta: 10:13:23, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1489, decode.acc_seg: 93.4215, aux.loss_ce: 0.0900, aux.acc_seg: 90.9443, loss: 0.2390 2024-03-05 07:05:40,228 - mmseg - INFO - Iter [107750/160000] lr: 1.125e-05, eta: 10:12:47, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1398, decode.acc_seg: 93.9740, aux.loss_ce: 0.0874, aux.acc_seg: 91.1901, loss: 0.2273 2024-03-05 07:06:14,757 - mmseg - INFO - Iter [107800/160000] lr: 1.124e-05, eta: 10:12:12, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1505, decode.acc_seg: 93.3684, aux.loss_ce: 0.0937, aux.acc_seg: 90.4900, loss: 0.2442 2024-03-05 07:06:49,196 - mmseg - INFO - Iter [107850/160000] lr: 1.122e-05, eta: 10:11:36, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1476, decode.acc_seg: 93.4844, aux.loss_ce: 0.0910, aux.acc_seg: 90.7661, loss: 0.2386 2024-03-05 07:07:23,545 - mmseg - INFO - Iter [107900/160000] lr: 1.121e-05, eta: 10:11:01, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1451, decode.acc_seg: 93.8908, aux.loss_ce: 0.0892, aux.acc_seg: 91.2273, loss: 0.2343 2024-03-05 07:07:58,081 - mmseg - INFO - Iter [107950/160000] lr: 1.120e-05, eta: 10:10:25, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1571, decode.acc_seg: 93.2100, aux.loss_ce: 0.0956, aux.acc_seg: 90.7131, loss: 0.2527 2024-03-05 07:08:32,345 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 07:08:32,345 - mmseg - INFO - Iter [108000/160000] lr: 1.119e-05, eta: 10:09:50, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1457, decode.acc_seg: 93.4267, aux.loss_ce: 0.0904, aux.acc_seg: 90.6296, loss: 0.2361 2024-03-05 07:09:06,628 - mmseg - INFO - Iter [108050/160000] lr: 1.118e-05, eta: 10:09:14, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1511, decode.acc_seg: 93.3162, aux.loss_ce: 0.0938, aux.acc_seg: 90.4305, loss: 0.2450 2024-03-05 07:09:40,716 - mmseg - INFO - Iter [108100/160000] lr: 1.117e-05, eta: 10:08:38, time: 0.682, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1430, decode.acc_seg: 93.7992, aux.loss_ce: 0.0890, aux.acc_seg: 91.0979, loss: 0.2320 2024-03-05 07:10:14,905 - mmseg - INFO - Iter [108150/160000] lr: 1.116e-05, eta: 10:08:03, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1436, decode.acc_seg: 93.7115, aux.loss_ce: 0.0882, aux.acc_seg: 91.0257, loss: 0.2318 2024-03-05 07:10:49,236 - mmseg - INFO - Iter [108200/160000] lr: 1.115e-05, eta: 10:07:27, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1506, decode.acc_seg: 93.4117, aux.loss_ce: 0.0956, aux.acc_seg: 90.2290, loss: 0.2461 2024-03-05 07:11:23,668 - mmseg - INFO - Iter [108250/160000] lr: 1.114e-05, eta: 10:06:52, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1430, decode.acc_seg: 93.7856, aux.loss_ce: 0.0879, aux.acc_seg: 91.2274, loss: 0.2309 2024-03-05 07:11:57,826 - mmseg - INFO - Iter [108300/160000] lr: 1.113e-05, eta: 10:06:16, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1421, decode.acc_seg: 93.8323, aux.loss_ce: 0.0872, aux.acc_seg: 91.2051, loss: 0.2294 2024-03-05 07:12:32,037 - mmseg - INFO - Iter [108350/160000] lr: 1.112e-05, eta: 10:05:40, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1390, decode.acc_seg: 93.9889, aux.loss_ce: 0.0862, aux.acc_seg: 91.3024, loss: 0.2252 2024-03-05 07:13:06,489 - mmseg - INFO - Iter [108400/160000] lr: 1.111e-05, eta: 10:05:05, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1444, decode.acc_seg: 93.6349, aux.loss_ce: 0.0902, aux.acc_seg: 90.7569, loss: 0.2346 2024-03-05 07:13:40,750 - mmseg - INFO - Iter [108450/160000] lr: 1.110e-05, eta: 10:04:29, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1450, decode.acc_seg: 93.7440, aux.loss_ce: 0.0901, aux.acc_seg: 91.1893, loss: 0.2351 2024-03-05 07:14:15,323 - mmseg - INFO - Iter [108500/160000] lr: 1.108e-05, eta: 10:03:54, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1469, decode.acc_seg: 93.6110, aux.loss_ce: 0.0890, aux.acc_seg: 91.1513, loss: 0.2359 2024-03-05 07:14:49,780 - mmseg - INFO - Iter [108550/160000] lr: 1.107e-05, eta: 10:03:18, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1538, decode.acc_seg: 93.4883, aux.loss_ce: 0.0911, aux.acc_seg: 90.9987, loss: 0.2449 2024-03-05 07:15:24,261 - mmseg - INFO - Iter [108600/160000] lr: 1.106e-05, eta: 10:02:43, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1415, decode.acc_seg: 93.8747, aux.loss_ce: 0.0879, aux.acc_seg: 91.0695, loss: 0.2294 2024-03-05 07:16:01,597 - mmseg - INFO - Iter [108650/160000] lr: 1.105e-05, eta: 10:02:09, time: 0.747, data_time: 0.056, memory: 9361, decode.loss_ce: 0.1436, decode.acc_seg: 93.8435, aux.loss_ce: 0.0909, aux.acc_seg: 90.9794, loss: 0.2344 2024-03-05 07:16:35,969 - mmseg - INFO - Iter [108700/160000] lr: 1.104e-05, eta: 10:01:33, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1558, decode.acc_seg: 93.3072, aux.loss_ce: 0.0956, aux.acc_seg: 90.5190, loss: 0.2514 2024-03-05 07:17:10,463 - mmseg - INFO - Iter [108750/160000] lr: 1.103e-05, eta: 10:00:57, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1505, decode.acc_seg: 93.4794, aux.loss_ce: 0.0936, aux.acc_seg: 90.6828, loss: 0.2440 2024-03-05 07:17:44,878 - mmseg - INFO - Iter [108800/160000] lr: 1.102e-05, eta: 10:00:22, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1432, decode.acc_seg: 93.6899, aux.loss_ce: 0.0857, aux.acc_seg: 91.2200, loss: 0.2288 2024-03-05 07:18:19,170 - mmseg - INFO - Iter [108850/160000] lr: 1.101e-05, eta: 9:59:46, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1479, decode.acc_seg: 93.5869, aux.loss_ce: 0.0903, aux.acc_seg: 90.9327, loss: 0.2383 2024-03-05 07:18:53,636 - mmseg - INFO - Iter [108900/160000] lr: 1.100e-05, eta: 9:59:11, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1528, decode.acc_seg: 93.6805, aux.loss_ce: 0.0923, aux.acc_seg: 90.9530, loss: 0.2451 2024-03-05 07:19:28,181 - mmseg - INFO - Iter [108950/160000] lr: 1.099e-05, eta: 9:58:35, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1420, decode.acc_seg: 93.6533, aux.loss_ce: 0.0859, aux.acc_seg: 91.1213, loss: 0.2278 2024-03-05 07:20:02,514 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 07:20:02,514 - mmseg - INFO - Iter [109000/160000] lr: 1.098e-05, eta: 9:58:00, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1437, decode.acc_seg: 93.7940, aux.loss_ce: 0.0896, aux.acc_seg: 91.0395, loss: 0.2333 2024-03-05 07:20:36,786 - mmseg - INFO - Iter [109050/160000] lr: 1.097e-05, eta: 9:57:24, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1451, decode.acc_seg: 93.6363, aux.loss_ce: 0.0881, aux.acc_seg: 91.1917, loss: 0.2331 2024-03-05 07:21:11,252 - mmseg - INFO - Iter [109100/160000] lr: 1.096e-05, eta: 9:56:49, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1454, decode.acc_seg: 93.6645, aux.loss_ce: 0.0899, aux.acc_seg: 90.8896, loss: 0.2353 2024-03-05 07:21:45,675 - mmseg - INFO - Iter [109150/160000] lr: 1.094e-05, eta: 9:56:13, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1388, decode.acc_seg: 93.9240, aux.loss_ce: 0.0861, aux.acc_seg: 91.3440, loss: 0.2250 2024-03-05 07:22:19,999 - mmseg - INFO - Iter [109200/160000] lr: 1.093e-05, eta: 9:55:38, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1454, decode.acc_seg: 93.5847, aux.loss_ce: 0.0854, aux.acc_seg: 91.1858, loss: 0.2308 2024-03-05 07:22:54,498 - mmseg - INFO - Iter [109250/160000] lr: 1.092e-05, eta: 9:55:02, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1369, decode.acc_seg: 94.0058, aux.loss_ce: 0.0838, aux.acc_seg: 91.4482, loss: 0.2206 2024-03-05 07:23:28,964 - mmseg - INFO - Iter [109300/160000] lr: 1.091e-05, eta: 9:54:27, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1375, decode.acc_seg: 93.9720, aux.loss_ce: 0.0840, aux.acc_seg: 91.3539, loss: 0.2216 2024-03-05 07:24:03,433 - mmseg - INFO - Iter [109350/160000] lr: 1.090e-05, eta: 9:53:51, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1486, decode.acc_seg: 93.7004, aux.loss_ce: 0.0913, aux.acc_seg: 90.9176, loss: 0.2398 2024-03-05 07:24:37,612 - mmseg - INFO - Iter [109400/160000] lr: 1.089e-05, eta: 9:53:15, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1403, decode.acc_seg: 93.7686, aux.loss_ce: 0.0859, aux.acc_seg: 91.1925, loss: 0.2261 2024-03-05 07:25:11,951 - mmseg - INFO - Iter [109450/160000] lr: 1.088e-05, eta: 9:52:40, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1465, decode.acc_seg: 93.5782, aux.loss_ce: 0.0879, aux.acc_seg: 91.1925, loss: 0.2344 2024-03-05 07:25:46,246 - mmseg - INFO - Iter [109500/160000] lr: 1.087e-05, eta: 9:52:04, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1429, decode.acc_seg: 93.7840, aux.loss_ce: 0.0893, aux.acc_seg: 90.9454, loss: 0.2322 2024-03-05 07:26:20,404 - mmseg - INFO - Iter [109550/160000] lr: 1.086e-05, eta: 9:51:29, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1423, decode.acc_seg: 93.7561, aux.loss_ce: 0.0877, aux.acc_seg: 91.0978, loss: 0.2299 2024-03-05 07:26:54,465 - mmseg - INFO - Iter [109600/160000] lr: 1.085e-05, eta: 9:50:53, time: 0.681, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1455, decode.acc_seg: 93.5921, aux.loss_ce: 0.0859, aux.acc_seg: 91.1959, loss: 0.2314 2024-03-05 07:27:28,457 - mmseg - INFO - Iter [109650/160000] lr: 1.084e-05, eta: 9:50:17, time: 0.680, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1484, decode.acc_seg: 93.5190, aux.loss_ce: 0.0949, aux.acc_seg: 90.4751, loss: 0.2434 2024-03-05 07:28:02,820 - mmseg - INFO - Iter [109700/160000] lr: 1.083e-05, eta: 9:49:42, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1446, decode.acc_seg: 93.6605, aux.loss_ce: 0.0890, aux.acc_seg: 90.8254, loss: 0.2336 2024-03-05 07:28:37,266 - mmseg - INFO - Iter [109750/160000] lr: 1.082e-05, eta: 9:49:06, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1501, decode.acc_seg: 93.4596, aux.loss_ce: 0.0939, aux.acc_seg: 90.6976, loss: 0.2440 2024-03-05 07:29:11,677 - mmseg - INFO - Iter [109800/160000] lr: 1.080e-05, eta: 9:48:31, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1478, decode.acc_seg: 93.6277, aux.loss_ce: 0.0914, aux.acc_seg: 90.9312, loss: 0.2392 2024-03-05 07:29:46,196 - mmseg - INFO - Iter [109850/160000] lr: 1.079e-05, eta: 9:47:55, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1501, decode.acc_seg: 93.5002, aux.loss_ce: 0.0931, aux.acc_seg: 90.5024, loss: 0.2432 2024-03-05 07:30:23,286 - mmseg - INFO - Iter [109900/160000] lr: 1.078e-05, eta: 9:47:21, time: 0.742, data_time: 0.060, memory: 9361, decode.loss_ce: 0.1554, decode.acc_seg: 93.2654, aux.loss_ce: 0.0927, aux.acc_seg: 90.6158, loss: 0.2481 2024-03-05 07:30:57,644 - mmseg - INFO - Iter [109950/160000] lr: 1.077e-05, eta: 9:46:45, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1461, decode.acc_seg: 93.6537, aux.loss_ce: 0.0911, aux.acc_seg: 90.7971, loss: 0.2372 2024-03-05 07:31:31,844 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 07:31:31,844 - mmseg - INFO - Iter [110000/160000] lr: 1.076e-05, eta: 9:46:10, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1465, decode.acc_seg: 93.6354, aux.loss_ce: 0.0894, aux.acc_seg: 90.9971, loss: 0.2358 2024-03-05 07:32:06,393 - mmseg - INFO - Iter [110050/160000] lr: 1.075e-05, eta: 9:45:34, time: 0.691, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1413, decode.acc_seg: 93.6111, aux.loss_ce: 0.0855, aux.acc_seg: 91.0609, loss: 0.2267 2024-03-05 07:32:40,853 - mmseg - INFO - Iter [110100/160000] lr: 1.074e-05, eta: 9:44:59, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1406, decode.acc_seg: 93.7789, aux.loss_ce: 0.0867, aux.acc_seg: 91.1561, loss: 0.2273 2024-03-05 07:33:15,248 - mmseg - INFO - Iter [110150/160000] lr: 1.073e-05, eta: 9:44:23, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1371, decode.acc_seg: 94.1169, aux.loss_ce: 0.0853, aux.acc_seg: 91.4983, loss: 0.2224 2024-03-05 07:33:49,815 - mmseg - INFO - Iter [110200/160000] lr: 1.072e-05, eta: 9:43:48, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1423, decode.acc_seg: 93.6039, aux.loss_ce: 0.0868, aux.acc_seg: 91.1036, loss: 0.2291 2024-03-05 07:34:24,087 - mmseg - INFO - Iter [110250/160000] lr: 1.071e-05, eta: 9:43:12, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1457, decode.acc_seg: 93.7169, aux.loss_ce: 0.0896, aux.acc_seg: 91.1010, loss: 0.2353 2024-03-05 07:34:58,516 - mmseg - INFO - Iter [110300/160000] lr: 1.070e-05, eta: 9:42:37, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1544, decode.acc_seg: 93.3160, aux.loss_ce: 0.0954, aux.acc_seg: 90.5839, loss: 0.2498 2024-03-05 07:35:33,036 - mmseg - INFO - Iter [110350/160000] lr: 1.069e-05, eta: 9:42:01, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1424, decode.acc_seg: 93.7584, aux.loss_ce: 0.0864, aux.acc_seg: 91.2305, loss: 0.2288 2024-03-05 07:36:07,393 - mmseg - INFO - Iter [110400/160000] lr: 1.068e-05, eta: 9:41:26, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1467, decode.acc_seg: 93.7190, aux.loss_ce: 0.0903, aux.acc_seg: 91.0907, loss: 0.2369 2024-03-05 07:36:41,968 - mmseg - INFO - Iter [110450/160000] lr: 1.067e-05, eta: 9:40:50, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1431, decode.acc_seg: 93.7909, aux.loss_ce: 0.0895, aux.acc_seg: 90.9956, loss: 0.2326 2024-03-05 07:37:16,274 - mmseg - INFO - Iter [110500/160000] lr: 1.065e-05, eta: 9:40:15, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1405, decode.acc_seg: 93.9024, aux.loss_ce: 0.0849, aux.acc_seg: 91.5494, loss: 0.2253 2024-03-05 07:37:50,599 - mmseg - INFO - Iter [110550/160000] lr: 1.064e-05, eta: 9:39:39, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1457, decode.acc_seg: 93.5453, aux.loss_ce: 0.0869, aux.acc_seg: 91.0791, loss: 0.2326 2024-03-05 07:38:25,013 - mmseg - INFO - Iter [110600/160000] lr: 1.063e-05, eta: 9:39:04, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1369, decode.acc_seg: 94.0554, aux.loss_ce: 0.0837, aux.acc_seg: 91.5469, loss: 0.2206 2024-03-05 07:38:59,302 - mmseg - INFO - Iter [110650/160000] lr: 1.062e-05, eta: 9:38:28, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1457, decode.acc_seg: 93.6517, aux.loss_ce: 0.0880, aux.acc_seg: 91.0579, loss: 0.2338 2024-03-05 07:39:33,676 - mmseg - INFO - Iter [110700/160000] lr: 1.061e-05, eta: 9:37:53, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1423, decode.acc_seg: 93.9332, aux.loss_ce: 0.0891, aux.acc_seg: 91.2161, loss: 0.2315 2024-03-05 07:40:07,822 - mmseg - INFO - Iter [110750/160000] lr: 1.060e-05, eta: 9:37:17, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1383, decode.acc_seg: 93.8189, aux.loss_ce: 0.0856, aux.acc_seg: 91.1732, loss: 0.2239 2024-03-05 07:40:42,104 - mmseg - INFO - Iter [110800/160000] lr: 1.059e-05, eta: 9:36:42, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1433, decode.acc_seg: 93.7928, aux.loss_ce: 0.0899, aux.acc_seg: 90.9043, loss: 0.2333 2024-03-05 07:41:16,485 - mmseg - INFO - Iter [110850/160000] lr: 1.058e-05, eta: 9:36:06, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1445, decode.acc_seg: 93.5832, aux.loss_ce: 0.0925, aux.acc_seg: 90.6836, loss: 0.2370 2024-03-05 07:41:50,897 - mmseg - INFO - Iter [110900/160000] lr: 1.057e-05, eta: 9:35:30, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1460, decode.acc_seg: 93.5338, aux.loss_ce: 0.0907, aux.acc_seg: 90.6914, loss: 0.2367 2024-03-05 07:42:25,138 - mmseg - INFO - Iter [110950/160000] lr: 1.056e-05, eta: 9:34:55, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1434, decode.acc_seg: 93.7774, aux.loss_ce: 0.0894, aux.acc_seg: 90.9894, loss: 0.2328 2024-03-05 07:42:59,756 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 07:42:59,756 - mmseg - INFO - Iter [111000/160000] lr: 1.055e-05, eta: 9:34:20, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1435, decode.acc_seg: 93.8006, aux.loss_ce: 0.0892, aux.acc_seg: 90.9085, loss: 0.2327 2024-03-05 07:43:34,268 - mmseg - INFO - Iter [111050/160000] lr: 1.054e-05, eta: 9:33:44, time: 0.690, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1393, decode.acc_seg: 93.7729, aux.loss_ce: 0.0866, aux.acc_seg: 91.1426, loss: 0.2260 2024-03-05 07:44:08,782 - mmseg - INFO - Iter [111100/160000] lr: 1.053e-05, eta: 9:33:09, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1391, decode.acc_seg: 93.8075, aux.loss_ce: 0.0852, aux.acc_seg: 91.2249, loss: 0.2243 2024-03-05 07:44:46,140 - mmseg - INFO - Iter [111150/160000] lr: 1.051e-05, eta: 9:32:34, time: 0.747, data_time: 0.068, memory: 9361, decode.loss_ce: 0.1421, decode.acc_seg: 93.8245, aux.loss_ce: 0.0878, aux.acc_seg: 91.1832, loss: 0.2299 2024-03-05 07:45:20,581 - mmseg - INFO - Iter [111200/160000] lr: 1.050e-05, eta: 9:31:59, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1441, decode.acc_seg: 93.5708, aux.loss_ce: 0.0850, aux.acc_seg: 91.1977, loss: 0.2292 2024-03-05 07:45:55,251 - mmseg - INFO - Iter [111250/160000] lr: 1.049e-05, eta: 9:31:24, time: 0.693, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1409, decode.acc_seg: 93.7819, aux.loss_ce: 0.0902, aux.acc_seg: 90.7984, loss: 0.2311 2024-03-05 07:46:29,846 - mmseg - INFO - Iter [111300/160000] lr: 1.048e-05, eta: 9:30:48, time: 0.692, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1415, decode.acc_seg: 93.8905, aux.loss_ce: 0.0873, aux.acc_seg: 91.2552, loss: 0.2288 2024-03-05 07:47:04,323 - mmseg - INFO - Iter [111350/160000] lr: 1.047e-05, eta: 9:30:13, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1436, decode.acc_seg: 93.7544, aux.loss_ce: 0.0890, aux.acc_seg: 90.9708, loss: 0.2326 2024-03-05 07:47:38,910 - mmseg - INFO - Iter [111400/160000] lr: 1.046e-05, eta: 9:29:37, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1434, decode.acc_seg: 93.7219, aux.loss_ce: 0.0884, aux.acc_seg: 91.0261, loss: 0.2318 2024-03-05 07:48:13,623 - mmseg - INFO - Iter [111450/160000] lr: 1.045e-05, eta: 9:29:02, time: 0.694, data_time: 0.014, memory: 9361, decode.loss_ce: 0.1408, decode.acc_seg: 93.8975, aux.loss_ce: 0.0881, aux.acc_seg: 91.0897, loss: 0.2289 2024-03-05 07:48:48,342 - mmseg - INFO - Iter [111500/160000] lr: 1.044e-05, eta: 9:28:27, time: 0.694, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1435, decode.acc_seg: 93.7362, aux.loss_ce: 0.0922, aux.acc_seg: 90.6689, loss: 0.2357 2024-03-05 07:49:22,939 - mmseg - INFO - Iter [111550/160000] lr: 1.043e-05, eta: 9:27:51, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1412, decode.acc_seg: 93.8753, aux.loss_ce: 0.0872, aux.acc_seg: 91.2408, loss: 0.2283 2024-03-05 07:49:57,758 - mmseg - INFO - Iter [111600/160000] lr: 1.042e-05, eta: 9:27:16, time: 0.696, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1445, decode.acc_seg: 93.7108, aux.loss_ce: 0.0898, aux.acc_seg: 91.0080, loss: 0.2343 2024-03-05 07:50:32,401 - mmseg - INFO - Iter [111650/160000] lr: 1.041e-05, eta: 9:26:40, time: 0.693, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1393, decode.acc_seg: 93.8952, aux.loss_ce: 0.0877, aux.acc_seg: 91.1013, loss: 0.2270 2024-03-05 07:51:06,701 - mmseg - INFO - Iter [111700/160000] lr: 1.040e-05, eta: 9:26:05, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1377, decode.acc_seg: 93.9140, aux.loss_ce: 0.0851, aux.acc_seg: 91.2923, loss: 0.2228 2024-03-05 07:51:41,259 - mmseg - INFO - Iter [111750/160000] lr: 1.039e-05, eta: 9:25:29, time: 0.691, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1406, decode.acc_seg: 93.8443, aux.loss_ce: 0.0884, aux.acc_seg: 91.0796, loss: 0.2290 2024-03-05 07:52:15,844 - mmseg - INFO - Iter [111800/160000] lr: 1.037e-05, eta: 9:24:54, time: 0.692, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1418, decode.acc_seg: 93.6651, aux.loss_ce: 0.0863, aux.acc_seg: 91.0050, loss: 0.2280 2024-03-05 07:52:50,638 - mmseg - INFO - Iter [111850/160000] lr: 1.036e-05, eta: 9:24:19, time: 0.696, data_time: 0.016, memory: 9361, decode.loss_ce: 0.1370, decode.acc_seg: 94.0042, aux.loss_ce: 0.0854, aux.acc_seg: 91.3000, loss: 0.2224 2024-03-05 07:53:25,435 - mmseg - INFO - Iter [111900/160000] lr: 1.035e-05, eta: 9:23:43, time: 0.696, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1411, decode.acc_seg: 93.7801, aux.loss_ce: 0.0894, aux.acc_seg: 90.9574, loss: 0.2304 2024-03-05 07:53:59,778 - mmseg - INFO - Iter [111950/160000] lr: 1.034e-05, eta: 9:23:08, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1421, decode.acc_seg: 93.7847, aux.loss_ce: 0.0878, aux.acc_seg: 91.1514, loss: 0.2300 2024-03-05 07:54:34,331 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 07:54:34,332 - mmseg - INFO - Iter [112000/160000] lr: 1.033e-05, eta: 9:22:33, time: 0.691, data_time: 0.014, memory: 9361, decode.loss_ce: 0.1355, decode.acc_seg: 94.0787, aux.loss_ce: 0.0818, aux.acc_seg: 91.6855, loss: 0.2173 2024-03-05 07:57:46,337 - mmseg - INFO - per class results: 2024-03-05 07:57:46,345 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.57 | 88.79 | | building | 82.18 | 91.52 | | sky | 94.27 | 97.48 | | floor | 81.04 | 91.54 | | tree | 73.59 | 88.15 | | ceiling | 82.84 | 92.32 | | road | 84.6 | 89.95 | | bed | 89.83 | 95.06 | | windowpane | 62.53 | 78.5 | | grass | 66.51 | 82.63 | | cabinet | 60.0 | 72.93 | | sidewalk | 64.91 | 83.79 | | person | 80.81 | 93.32 | | earth | 34.7 | 46.2 | | door | 48.95 | 64.39 | | table | 61.2 | 77.95 | | mountain | 59.15 | 72.77 | | plant | 49.6 | 63.19 | | curtain | 73.33 | 86.69 | | chair | 58.1 | 69.99 | | car | 84.25 | 91.67 | | water | 48.27 | 64.02 | | painting | 73.5 | 86.28 | | sofa | 69.14 | 83.85 | | shelf | 44.34 | 61.12 | | house | 48.08 | 62.59 | | sea | 50.15 | 79.65 | | mirror | 67.07 | 75.51 | | rug | 52.73 | 62.99 | | field | 31.29 | 48.53 | | armchair | 47.3 | 68.08 | | seat | 61.66 | 80.09 | | fence | 42.89 | 53.82 | | desk | 54.02 | 76.69 | | rock | 44.13 | 75.62 | | wardrobe | 44.88 | 60.97 | | lamp | 66.45 | 77.45 | | bathtub | 74.76 | 81.48 | | railing | 33.47 | 43.71 | | cushion | 58.21 | 72.0 | | base | 26.41 | 35.57 | | box | 26.24 | 31.41 | | column | 45.33 | 58.6 | | signboard | 35.78 | 51.32 | | chest of drawers | 41.88 | 56.24 | | counter | 33.05 | 41.68 | | sand | 36.84 | 49.67 | | sink | 70.32 | 82.4 | | skyscraper | 52.31 | 66.64 | | fireplace | 73.76 | 86.07 | | refrigerator | 73.81 | 82.77 | | grandstand | 43.26 | 67.08 | | path | 14.14 | 20.51 | | stairs | 29.68 | 36.35 | | runway | 69.52 | 92.73 | | case | 43.74 | 49.39 | | pool table | 92.55 | 95.88 | | pillow | 59.81 | 72.52 | | screen door | 71.02 | 72.06 | | stairway | 31.25 | 37.51 | | river | 8.83 | 12.23 | | bridge | 50.27 | 55.46 | | bookcase | 39.06 | 47.32 | | blind | 36.15 | 38.92 | | coffee table | 60.71 | 82.81 | | toilet | 86.29 | 91.2 | | flower | 37.38 | 47.57 | | book | 48.39 | 70.29 | | hill | 5.9 | 9.42 | | bench | 43.65 | 54.55 | | countertop | 53.92 | 69.71 | | stove | 75.24 | 85.3 | | palm | 50.9 | 76.64 | | kitchen island | 41.69 | 60.42 | | computer | 69.29 | 77.4 | | swivel chair | 40.7 | 57.6 | | boat | 72.76 | 87.39 | | bar | 44.33 | 58.41 | | arcade machine | 39.73 | 42.57 | | hovel | 28.48 | 31.08 | | bus | 81.57 | 97.24 | | towel | 65.72 | 75.23 | | light | 53.58 | 61.39 | | truck | 31.21 | 47.41 | | tower | 28.47 | 41.26 | | chandelier | 67.16 | 80.14 | | awning | 21.14 | 26.69 | | streetlight | 28.2 | 38.53 | | booth | 56.6 | 73.72 | | television receiver | 66.86 | 81.16 | | airplane | 48.03 | 68.98 | | dirt track | 16.27 | 18.56 | | apparel | 39.85 | 60.36 | | pole | 22.2 | 30.45 | | land | 4.25 | 6.37 | | bannister | 16.47 | 22.45 | | escalator | 32.43 | 40.83 | | ottoman | 52.27 | 68.29 | | bottle | 37.27 | 58.38 | | buffet | 27.72 | 31.29 | | poster | 34.12 | 45.66 | | stage | 18.35 | 27.15 | | van | 42.52 | 56.6 | | ship | 83.02 | 93.73 | | fountain | 15.9 | 16.39 | | conveyer belt | 58.2 | 91.46 | | canopy | 29.03 | 32.04 | | washer | 64.26 | 64.49 | | plaything | 24.13 | 36.84 | | swimming pool | 45.99 | 59.15 | | stool | 41.79 | 63.86 | | barrel | 56.13 | 72.72 | | basket | 33.63 | 39.45 | | waterfall | 50.0 | 63.48 | | tent | 93.26 | 98.75 | | bag | 16.26 | 19.73 | | minibike | 69.24 | 82.83 | | cradle | 67.67 | 81.85 | | oven | 34.65 | 64.18 | | ball | 49.51 | 66.62 | | food | 52.94 | 69.24 | | step | 16.51 | 22.13 | | tank | 44.23 | 54.02 | | trade name | 19.01 | 21.09 | | microwave | 39.49 | 43.01 | | pot | 43.13 | 50.55 | | animal | 57.22 | 60.4 | | bicycle | 54.22 | 76.12 | | lake | 46.92 | 62.72 | | dishwasher | 72.23 | 74.85 | | screen | 51.93 | 71.34 | | blanket | 16.19 | 18.02 | | sculpture | 57.78 | 77.68 | | hood | 56.91 | 68.04 | | sconce | 47.24 | 57.85 | | vase | 38.24 | 56.95 | | traffic light | 32.98 | 51.63 | | tray | 9.24 | 26.59 | | ashcan | 47.61 | 60.14 | | fan | 61.96 | 75.16 | | pier | 46.58 | 62.28 | | crt screen | 7.18 | 15.0 | | plate | 51.88 | 71.64 | | monitor | 28.88 | 42.86 | | bulletin board | 46.04 | 55.22 | | shower | 10.23 | 12.15 | | radiator | 59.41 | 70.7 | | glass | 15.95 | 17.64 | | clock | 38.82 | 47.47 | | flag | 31.06 | 33.56 | +---------------------+-------+-------+ 2024-03-05 07:57:46,345 - mmseg - INFO - Summary: 2024-03-05 07:57:46,346 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 82.89 | 48.76 | 60.72 | +-------+-------+-------+ 2024-03-05 07:57:46,358 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 07:57:46,358 - mmseg - INFO - Iter(val) [500] aAcc: 0.8289, mIoU: 0.4876, mAcc: 0.6072, IoU.wall: 0.7757, IoU.building: 0.8218, IoU.sky: 0.9427, IoU.floor: 0.8104, IoU.tree: 0.7359, IoU.ceiling: 0.8284, IoU.road: 0.8460, IoU.bed : 0.8983, IoU.windowpane: 0.6253, IoU.grass: 0.6651, IoU.cabinet: 0.6000, IoU.sidewalk: 0.6491, IoU.person: 0.8081, IoU.earth: 0.3470, IoU.door: 0.4895, IoU.table: 0.6120, IoU.mountain: 0.5915, IoU.plant: 0.4960, IoU.curtain: 0.7333, IoU.chair: 0.5810, IoU.car: 0.8425, IoU.water: 0.4827, IoU.painting: 0.7350, IoU.sofa: 0.6914, IoU.shelf: 0.4434, IoU.house: 0.4808, IoU.sea: 0.5015, IoU.mirror: 0.6707, IoU.rug: 0.5273, IoU.field: 0.3129, IoU.armchair: 0.4730, IoU.seat: 0.6166, IoU.fence: 0.4289, IoU.desk: 0.5402, IoU.rock: 0.4413, IoU.wardrobe: 0.4488, IoU.lamp: 0.6645, IoU.bathtub: 0.7476, IoU.railing: 0.3347, IoU.cushion: 0.5821, IoU.base: 0.2641, IoU.box: 0.2624, IoU.column: 0.4533, IoU.signboard: 0.3578, IoU.chest of drawers: 0.4188, IoU.counter: 0.3305, IoU.sand: 0.3684, IoU.sink: 0.7032, IoU.skyscraper: 0.5231, IoU.fireplace: 0.7376, IoU.refrigerator: 0.7381, IoU.grandstand: 0.4326, IoU.path: 0.1414, IoU.stairs: 0.2968, IoU.runway: 0.6952, IoU.case: 0.4374, IoU.pool table: 0.9255, IoU.pillow: 0.5981, IoU.screen door: 0.7102, IoU.stairway: 0.3125, IoU.river: 0.0883, IoU.bridge: 0.5027, IoU.bookcase: 0.3906, IoU.blind: 0.3615, IoU.coffee table: 0.6071, IoU.toilet: 0.8629, IoU.flower: 0.3738, IoU.book: 0.4839, IoU.hill: 0.0590, IoU.bench: 0.4365, IoU.countertop: 0.5392, IoU.stove: 0.7524, IoU.palm: 0.5090, IoU.kitchen island: 0.4169, IoU.computer: 0.6929, IoU.swivel chair: 0.4070, IoU.boat: 0.7276, IoU.bar: 0.4433, IoU.arcade machine: 0.3973, IoU.hovel: 0.2848, IoU.bus: 0.8157, IoU.towel: 0.6572, IoU.light: 0.5358, IoU.truck: 0.3121, IoU.tower: 0.2847, IoU.chandelier: 0.6716, IoU.awning: 0.2114, IoU.streetlight: 0.2820, IoU.booth: 0.5660, IoU.television receiver: 0.6686, IoU.airplane: 0.4803, IoU.dirt track: 0.1627, IoU.apparel: 0.3985, IoU.pole: 0.2220, IoU.land: 0.0425, IoU.bannister: 0.1647, IoU.escalator: 0.3243, IoU.ottoman: 0.5227, IoU.bottle: 0.3727, IoU.buffet: 0.2772, IoU.poster: 0.3412, IoU.stage: 0.1835, IoU.van: 0.4252, IoU.ship: 0.8302, IoU.fountain: 0.1590, IoU.conveyer belt: 0.5820, IoU.canopy: 0.2903, IoU.washer: 0.6426, IoU.plaything: 0.2413, IoU.swimming pool: 0.4599, IoU.stool: 0.4179, IoU.barrel: 0.5613, IoU.basket: 0.3363, IoU.waterfall: 0.5000, IoU.tent: 0.9326, IoU.bag: 0.1626, IoU.minibike: 0.6924, IoU.cradle: 0.6767, IoU.oven: 0.3465, IoU.ball: 0.4951, IoU.food: 0.5294, IoU.step: 0.1651, IoU.tank: 0.4423, IoU.trade name: 0.1901, IoU.microwave: 0.3949, IoU.pot: 0.4313, IoU.animal: 0.5722, IoU.bicycle: 0.5422, IoU.lake: 0.4692, IoU.dishwasher: 0.7223, IoU.screen: 0.5193, IoU.blanket: 0.1619, IoU.sculpture: 0.5778, IoU.hood: 0.5691, IoU.sconce: 0.4724, IoU.vase: 0.3824, IoU.traffic light: 0.3298, IoU.tray: 0.0924, IoU.ashcan: 0.4761, IoU.fan: 0.6196, IoU.pier: 0.4658, IoU.crt screen: 0.0718, IoU.plate: 0.5188, IoU.monitor: 0.2888, IoU.bulletin board: 0.4604, IoU.shower: 0.1023, IoU.radiator: 0.5941, IoU.glass: 0.1595, IoU.clock: 0.3882, IoU.flag: 0.3106, Acc.wall: 0.8879, Acc.building: 0.9152, Acc.sky: 0.9748, Acc.floor: 0.9154, Acc.tree: 0.8815, Acc.ceiling: 0.9232, Acc.road: 0.8995, Acc.bed : 0.9506, Acc.windowpane: 0.7850, Acc.grass: 0.8263, Acc.cabinet: 0.7293, Acc.sidewalk: 0.8379, Acc.person: 0.9332, Acc.earth: 0.4620, Acc.door: 0.6439, Acc.table: 0.7795, Acc.mountain: 0.7277, Acc.plant: 0.6319, Acc.curtain: 0.8669, Acc.chair: 0.6999, Acc.car: 0.9167, Acc.water: 0.6402, Acc.painting: 0.8628, Acc.sofa: 0.8385, Acc.shelf: 0.6112, Acc.house: 0.6259, Acc.sea: 0.7965, Acc.mirror: 0.7551, Acc.rug: 0.6299, Acc.field: 0.4853, Acc.armchair: 0.6808, Acc.seat: 0.8009, Acc.fence: 0.5382, Acc.desk: 0.7669, Acc.rock: 0.7562, Acc.wardrobe: 0.6097, Acc.lamp: 0.7745, Acc.bathtub: 0.8148, Acc.railing: 0.4371, Acc.cushion: 0.7200, Acc.base: 0.3557, Acc.box: 0.3141, Acc.column: 0.5860, Acc.signboard: 0.5132, Acc.chest of drawers: 0.5624, Acc.counter: 0.4168, Acc.sand: 0.4967, Acc.sink: 0.8240, Acc.skyscraper: 0.6664, Acc.fireplace: 0.8607, Acc.refrigerator: 0.8277, Acc.grandstand: 0.6708, Acc.path: 0.2051, Acc.stairs: 0.3635, Acc.runway: 0.9273, Acc.case: 0.4939, Acc.pool table: 0.9588, Acc.pillow: 0.7252, Acc.screen door: 0.7206, Acc.stairway: 0.3751, Acc.river: 0.1223, Acc.bridge: 0.5546, Acc.bookcase: 0.4732, Acc.blind: 0.3892, Acc.coffee table: 0.8281, Acc.toilet: 0.9120, Acc.flower: 0.4757, Acc.book: 0.7029, Acc.hill: 0.0942, Acc.bench: 0.5455, Acc.countertop: 0.6971, Acc.stove: 0.8530, Acc.palm: 0.7664, Acc.kitchen island: 0.6042, Acc.computer: 0.7740, Acc.swivel chair: 0.5760, Acc.boat: 0.8739, Acc.bar: 0.5841, Acc.arcade machine: 0.4257, Acc.hovel: 0.3108, Acc.bus: 0.9724, Acc.towel: 0.7523, Acc.light: 0.6139, Acc.truck: 0.4741, Acc.tower: 0.4126, Acc.chandelier: 0.8014, Acc.awning: 0.2669, Acc.streetlight: 0.3853, Acc.booth: 0.7372, Acc.television receiver: 0.8116, Acc.airplane: 0.6898, Acc.dirt track: 0.1856, Acc.apparel: 0.6036, Acc.pole: 0.3045, Acc.land: 0.0637, Acc.bannister: 0.2245, Acc.escalator: 0.4083, Acc.ottoman: 0.6829, Acc.bottle: 0.5838, Acc.buffet: 0.3129, Acc.poster: 0.4566, Acc.stage: 0.2715, Acc.van: 0.5660, Acc.ship: 0.9373, Acc.fountain: 0.1639, Acc.conveyer belt: 0.9146, Acc.canopy: 0.3204, Acc.washer: 0.6449, Acc.plaything: 0.3684, Acc.swimming pool: 0.5915, Acc.stool: 0.6386, Acc.barrel: 0.7272, Acc.basket: 0.3945, Acc.waterfall: 0.6348, Acc.tent: 0.9875, Acc.bag: 0.1973, Acc.minibike: 0.8283, Acc.cradle: 0.8185, Acc.oven: 0.6418, Acc.ball: 0.6662, Acc.food: 0.6924, Acc.step: 0.2213, Acc.tank: 0.5402, Acc.trade name: 0.2109, Acc.microwave: 0.4301, Acc.pot: 0.5055, Acc.animal: 0.6040, Acc.bicycle: 0.7612, Acc.lake: 0.6272, Acc.dishwasher: 0.7485, Acc.screen: 0.7134, Acc.blanket: 0.1802, Acc.sculpture: 0.7768, Acc.hood: 0.6804, Acc.sconce: 0.5785, Acc.vase: 0.5695, Acc.traffic light: 0.5163, Acc.tray: 0.2659, Acc.ashcan: 0.6014, Acc.fan: 0.7516, Acc.pier: 0.6228, Acc.crt screen: 0.1500, Acc.plate: 0.7164, Acc.monitor: 0.4286, Acc.bulletin board: 0.5522, Acc.shower: 0.1215, Acc.radiator: 0.7070, Acc.glass: 0.1764, Acc.clock: 0.4747, Acc.flag: 0.3356 2024-03-05 07:58:20,796 - mmseg - INFO - Iter [112050/160000] lr: 1.032e-05, eta: 9:23:19, time: 4.529, data_time: 3.851, memory: 9361, decode.loss_ce: 0.1371, decode.acc_seg: 93.9576, aux.loss_ce: 0.0848, aux.acc_seg: 91.2794, loss: 0.2219 2024-03-05 07:58:55,431 - mmseg - INFO - Iter [112100/160000] lr: 1.031e-05, eta: 9:22:44, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1349, decode.acc_seg: 94.0336, aux.loss_ce: 0.0849, aux.acc_seg: 91.3980, loss: 0.2198 2024-03-05 07:59:30,002 - mmseg - INFO - Iter [112150/160000] lr: 1.030e-05, eta: 9:22:08, time: 0.691, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1406, decode.acc_seg: 93.7856, aux.loss_ce: 0.0861, aux.acc_seg: 91.2463, loss: 0.2267 2024-03-05 08:00:04,357 - mmseg - INFO - Iter [112200/160000] lr: 1.029e-05, eta: 9:21:33, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1447, decode.acc_seg: 93.7395, aux.loss_ce: 0.0878, aux.acc_seg: 91.1471, loss: 0.2324 2024-03-05 08:00:38,601 - mmseg - INFO - Iter [112250/160000] lr: 1.028e-05, eta: 9:20:57, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1526, decode.acc_seg: 93.3170, aux.loss_ce: 0.0913, aux.acc_seg: 90.7973, loss: 0.2439 2024-03-05 08:01:12,815 - mmseg - INFO - Iter [112300/160000] lr: 1.027e-05, eta: 9:20:21, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1452, decode.acc_seg: 93.7695, aux.loss_ce: 0.0883, aux.acc_seg: 91.1042, loss: 0.2334 2024-03-05 08:01:47,047 - mmseg - INFO - Iter [112350/160000] lr: 1.026e-05, eta: 9:19:46, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1450, decode.acc_seg: 93.5713, aux.loss_ce: 0.0908, aux.acc_seg: 90.9263, loss: 0.2357 2024-03-05 08:02:21,320 - mmseg - INFO - Iter [112400/160000] lr: 1.025e-05, eta: 9:19:10, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1456, decode.acc_seg: 93.5589, aux.loss_ce: 0.0921, aux.acc_seg: 90.5735, loss: 0.2377 2024-03-05 08:02:58,694 - mmseg - INFO - Iter [112450/160000] lr: 1.023e-05, eta: 9:18:36, time: 0.747, data_time: 0.062, memory: 9361, decode.loss_ce: 0.1401, decode.acc_seg: 94.0135, aux.loss_ce: 0.0832, aux.acc_seg: 91.4963, loss: 0.2233 2024-03-05 08:03:32,922 - mmseg - INFO - Iter [112500/160000] lr: 1.022e-05, eta: 9:18:00, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1432, decode.acc_seg: 93.7499, aux.loss_ce: 0.0908, aux.acc_seg: 91.1478, loss: 0.2340 2024-03-05 08:04:07,232 - mmseg - INFO - Iter [112550/160000] lr: 1.021e-05, eta: 9:17:24, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1422, decode.acc_seg: 93.8805, aux.loss_ce: 0.0872, aux.acc_seg: 91.3375, loss: 0.2294 2024-03-05 08:04:41,690 - mmseg - INFO - Iter [112600/160000] lr: 1.020e-05, eta: 9:16:49, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1418, decode.acc_seg: 93.6309, aux.loss_ce: 0.0879, aux.acc_seg: 90.9012, loss: 0.2297 2024-03-05 08:05:16,077 - mmseg - INFO - Iter [112650/160000] lr: 1.019e-05, eta: 9:16:13, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1396, decode.acc_seg: 93.8344, aux.loss_ce: 0.0869, aux.acc_seg: 91.1657, loss: 0.2265 2024-03-05 08:05:50,562 - mmseg - INFO - Iter [112700/160000] lr: 1.018e-05, eta: 9:15:38, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1459, decode.acc_seg: 93.7613, aux.loss_ce: 0.0879, aux.acc_seg: 91.3482, loss: 0.2338 2024-03-05 08:06:25,039 - mmseg - INFO - Iter [112750/160000] lr: 1.017e-05, eta: 9:15:02, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1398, decode.acc_seg: 93.9076, aux.loss_ce: 0.0873, aux.acc_seg: 91.1484, loss: 0.2272 2024-03-05 08:06:59,509 - mmseg - INFO - Iter [112800/160000] lr: 1.016e-05, eta: 9:14:26, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1401, decode.acc_seg: 93.9854, aux.loss_ce: 0.0833, aux.acc_seg: 91.5111, loss: 0.2234 2024-03-05 08:07:33,784 - mmseg - INFO - Iter [112850/160000] lr: 1.015e-05, eta: 9:13:51, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1418, decode.acc_seg: 93.8601, aux.loss_ce: 0.0896, aux.acc_seg: 91.1733, loss: 0.2315 2024-03-05 08:08:08,230 - mmseg - INFO - Iter [112900/160000] lr: 1.014e-05, eta: 9:13:15, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1511, decode.acc_seg: 93.4089, aux.loss_ce: 0.0960, aux.acc_seg: 90.4329, loss: 0.2471 2024-03-05 08:08:42,832 - mmseg - INFO - Iter [112950/160000] lr: 1.013e-05, eta: 9:12:40, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1375, decode.acc_seg: 94.0393, aux.loss_ce: 0.0849, aux.acc_seg: 91.3501, loss: 0.2223 2024-03-05 08:09:17,479 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 08:09:17,479 - mmseg - INFO - Iter [113000/160000] lr: 1.012e-05, eta: 9:12:04, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1424, decode.acc_seg: 93.8026, aux.loss_ce: 0.0858, aux.acc_seg: 91.3277, loss: 0.2282 2024-03-05 08:09:52,007 - mmseg - INFO - Iter [113050/160000] lr: 1.011e-05, eta: 9:11:29, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1417, decode.acc_seg: 93.7162, aux.loss_ce: 0.0867, aux.acc_seg: 91.1020, loss: 0.2284 2024-03-05 08:10:26,427 - mmseg - INFO - Iter [113100/160000] lr: 1.009e-05, eta: 9:10:53, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1366, decode.acc_seg: 94.0122, aux.loss_ce: 0.0849, aux.acc_seg: 91.4300, loss: 0.2214 2024-03-05 08:11:00,977 - mmseg - INFO - Iter [113150/160000] lr: 1.008e-05, eta: 9:10:18, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1362, decode.acc_seg: 93.9662, aux.loss_ce: 0.0852, aux.acc_seg: 91.2937, loss: 0.2214 2024-03-05 08:11:35,428 - mmseg - INFO - Iter [113200/160000] lr: 1.007e-05, eta: 9:09:42, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1436, decode.acc_seg: 93.6881, aux.loss_ce: 0.0889, aux.acc_seg: 90.8678, loss: 0.2325 2024-03-05 08:12:10,067 - mmseg - INFO - Iter [113250/160000] lr: 1.006e-05, eta: 9:09:06, time: 0.693, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1408, decode.acc_seg: 93.7744, aux.loss_ce: 0.0848, aux.acc_seg: 91.2021, loss: 0.2255 2024-03-05 08:12:44,511 - mmseg - INFO - Iter [113300/160000] lr: 1.005e-05, eta: 9:08:31, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1530, decode.acc_seg: 93.3132, aux.loss_ce: 0.0924, aux.acc_seg: 90.5565, loss: 0.2454 2024-03-05 08:13:19,171 - mmseg - INFO - Iter [113350/160000] lr: 1.004e-05, eta: 9:07:55, time: 0.694, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1400, decode.acc_seg: 93.8137, aux.loss_ce: 0.0831, aux.acc_seg: 91.6139, loss: 0.2230 2024-03-05 08:13:53,731 - mmseg - INFO - Iter [113400/160000] lr: 1.003e-05, eta: 9:07:20, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1430, decode.acc_seg: 93.7311, aux.loss_ce: 0.0869, aux.acc_seg: 91.2304, loss: 0.2299 2024-03-05 08:14:28,021 - mmseg - INFO - Iter [113450/160000] lr: 1.002e-05, eta: 9:06:44, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1415, decode.acc_seg: 93.7962, aux.loss_ce: 0.0858, aux.acc_seg: 91.3122, loss: 0.2273 2024-03-05 08:15:02,291 - mmseg - INFO - Iter [113500/160000] lr: 1.001e-05, eta: 9:06:09, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1418, decode.acc_seg: 93.6851, aux.loss_ce: 0.0862, aux.acc_seg: 91.1324, loss: 0.2280 2024-03-05 08:15:36,884 - mmseg - INFO - Iter [113550/160000] lr: 9.998e-06, eta: 9:05:33, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1567, decode.acc_seg: 93.2220, aux.loss_ce: 0.0984, aux.acc_seg: 90.2278, loss: 0.2552 2024-03-05 08:16:11,409 - mmseg - INFO - Iter [113600/160000] lr: 9.987e-06, eta: 9:04:58, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1513, decode.acc_seg: 93.4473, aux.loss_ce: 0.0900, aux.acc_seg: 90.9057, loss: 0.2413 2024-03-05 08:16:45,825 - mmseg - INFO - Iter [113650/160000] lr: 9.976e-06, eta: 9:04:22, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1389, decode.acc_seg: 93.8662, aux.loss_ce: 0.0842, aux.acc_seg: 91.4520, loss: 0.2232 2024-03-05 08:17:23,051 - mmseg - INFO - Iter [113700/160000] lr: 9.966e-06, eta: 9:03:48, time: 0.745, data_time: 0.060, memory: 9361, decode.loss_ce: 0.1511, decode.acc_seg: 93.3687, aux.loss_ce: 0.0903, aux.acc_seg: 90.8384, loss: 0.2414 2024-03-05 08:17:57,457 - mmseg - INFO - Iter [113750/160000] lr: 9.955e-06, eta: 9:03:12, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1414, decode.acc_seg: 93.7112, aux.loss_ce: 0.0899, aux.acc_seg: 90.7281, loss: 0.2313 2024-03-05 08:18:31,827 - mmseg - INFO - Iter [113800/160000] lr: 9.944e-06, eta: 9:02:36, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1471, decode.acc_seg: 93.6348, aux.loss_ce: 0.0908, aux.acc_seg: 90.8787, loss: 0.2379 2024-03-05 08:19:06,194 - mmseg - INFO - Iter [113850/160000] lr: 9.933e-06, eta: 9:02:01, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1339, decode.acc_seg: 94.0404, aux.loss_ce: 0.0829, aux.acc_seg: 91.3669, loss: 0.2168 2024-03-05 08:19:40,552 - mmseg - INFO - Iter [113900/160000] lr: 9.922e-06, eta: 9:01:25, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1420, decode.acc_seg: 93.8674, aux.loss_ce: 0.0891, aux.acc_seg: 91.0353, loss: 0.2311 2024-03-05 08:20:14,956 - mmseg - INFO - Iter [113950/160000] lr: 9.912e-06, eta: 9:00:50, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1457, decode.acc_seg: 93.6959, aux.loss_ce: 0.0874, aux.acc_seg: 91.1544, loss: 0.2331 2024-03-05 08:20:49,381 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 08:20:49,382 - mmseg - INFO - Iter [114000/160000] lr: 9.901e-06, eta: 9:00:14, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1443, decode.acc_seg: 93.7240, aux.loss_ce: 0.0881, aux.acc_seg: 91.0367, loss: 0.2324 2024-03-05 08:21:23,675 - mmseg - INFO - Iter [114050/160000] lr: 9.890e-06, eta: 8:59:39, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1361, decode.acc_seg: 94.0309, aux.loss_ce: 0.0854, aux.acc_seg: 91.3283, loss: 0.2215 2024-03-05 08:21:58,057 - mmseg - INFO - Iter [114100/160000] lr: 9.879e-06, eta: 8:59:03, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1429, decode.acc_seg: 93.8585, aux.loss_ce: 0.0885, aux.acc_seg: 91.2036, loss: 0.2313 2024-03-05 08:22:32,288 - mmseg - INFO - Iter [114150/160000] lr: 9.869e-06, eta: 8:58:27, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1390, decode.acc_seg: 93.9589, aux.loss_ce: 0.0888, aux.acc_seg: 91.1345, loss: 0.2279 2024-03-05 08:23:06,543 - mmseg - INFO - Iter [114200/160000] lr: 9.858e-06, eta: 8:57:52, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1374, decode.acc_seg: 94.0130, aux.loss_ce: 0.0856, aux.acc_seg: 91.5631, loss: 0.2230 2024-03-05 08:23:41,044 - mmseg - INFO - Iter [114250/160000] lr: 9.847e-06, eta: 8:57:16, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1441, decode.acc_seg: 93.7544, aux.loss_ce: 0.0881, aux.acc_seg: 91.1765, loss: 0.2322 2024-03-05 08:24:15,421 - mmseg - INFO - Iter [114300/160000] lr: 9.836e-06, eta: 8:56:41, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1387, decode.acc_seg: 93.8570, aux.loss_ce: 0.0863, aux.acc_seg: 91.1588, loss: 0.2249 2024-03-05 08:24:49,767 - mmseg - INFO - Iter [114350/160000] lr: 9.826e-06, eta: 8:56:05, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1383, decode.acc_seg: 93.9974, aux.loss_ce: 0.0844, aux.acc_seg: 91.4604, loss: 0.2227 2024-03-05 08:25:24,298 - mmseg - INFO - Iter [114400/160000] lr: 9.815e-06, eta: 8:55:30, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1409, decode.acc_seg: 93.7488, aux.loss_ce: 0.0867, aux.acc_seg: 91.1494, loss: 0.2276 2024-03-05 08:25:58,645 - mmseg - INFO - Iter [114450/160000] lr: 9.804e-06, eta: 8:54:54, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1396, decode.acc_seg: 94.0204, aux.loss_ce: 0.0854, aux.acc_seg: 91.4501, loss: 0.2251 2024-03-05 08:26:33,213 - mmseg - INFO - Iter [114500/160000] lr: 9.793e-06, eta: 8:54:18, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1474, decode.acc_seg: 93.5544, aux.loss_ce: 0.0911, aux.acc_seg: 90.8314, loss: 0.2385 2024-03-05 08:27:07,768 - mmseg - INFO - Iter [114550/160000] lr: 9.783e-06, eta: 8:53:43, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1375, decode.acc_seg: 93.9040, aux.loss_ce: 0.0828, aux.acc_seg: 91.5177, loss: 0.2204 2024-03-05 08:27:42,124 - mmseg - INFO - Iter [114600/160000] lr: 9.772e-06, eta: 8:53:07, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1432, decode.acc_seg: 93.8294, aux.loss_ce: 0.0884, aux.acc_seg: 91.1706, loss: 0.2316 2024-03-05 08:28:16,355 - mmseg - INFO - Iter [114650/160000] lr: 9.761e-06, eta: 8:52:32, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1367, decode.acc_seg: 93.8603, aux.loss_ce: 0.0854, aux.acc_seg: 91.2594, loss: 0.2221 2024-03-05 08:28:50,860 - mmseg - INFO - Iter [114700/160000] lr: 9.750e-06, eta: 8:51:56, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1397, decode.acc_seg: 93.7723, aux.loss_ce: 0.0860, aux.acc_seg: 91.1607, loss: 0.2256 2024-03-05 08:29:25,396 - mmseg - INFO - Iter [114750/160000] lr: 9.740e-06, eta: 8:51:21, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1397, decode.acc_seg: 93.9034, aux.loss_ce: 0.0860, aux.acc_seg: 91.3978, loss: 0.2257 2024-03-05 08:29:59,755 - mmseg - INFO - Iter [114800/160000] lr: 9.729e-06, eta: 8:50:45, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1459, decode.acc_seg: 93.5445, aux.loss_ce: 0.0893, aux.acc_seg: 90.9459, loss: 0.2352 2024-03-05 08:30:34,084 - mmseg - INFO - Iter [114850/160000] lr: 9.718e-06, eta: 8:50:10, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1422, decode.acc_seg: 93.7559, aux.loss_ce: 0.0882, aux.acc_seg: 90.9390, loss: 0.2304 2024-03-05 08:31:08,605 - mmseg - INFO - Iter [114900/160000] lr: 9.707e-06, eta: 8:49:34, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1430, decode.acc_seg: 93.8035, aux.loss_ce: 0.0885, aux.acc_seg: 91.1626, loss: 0.2316 2024-03-05 08:31:45,960 - mmseg - INFO - Iter [114950/160000] lr: 9.696e-06, eta: 8:49:00, time: 0.747, data_time: 0.061, memory: 9361, decode.loss_ce: 0.1422, decode.acc_seg: 93.7880, aux.loss_ce: 0.0869, aux.acc_seg: 91.2376, loss: 0.2291 2024-03-05 08:32:20,326 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 08:32:20,326 - mmseg - INFO - Iter [115000/160000] lr: 9.686e-06, eta: 8:48:24, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1294, decode.acc_seg: 94.3142, aux.loss_ce: 0.0799, aux.acc_seg: 91.8558, loss: 0.2093 2024-03-05 08:32:54,826 - mmseg - INFO - Iter [115050/160000] lr: 9.675e-06, eta: 8:47:49, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1377, decode.acc_seg: 93.9103, aux.loss_ce: 0.0856, aux.acc_seg: 91.2983, loss: 0.2233 2024-03-05 08:33:29,103 - mmseg - INFO - Iter [115100/160000] lr: 9.664e-06, eta: 8:47:13, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1340, decode.acc_seg: 94.1500, aux.loss_ce: 0.0832, aux.acc_seg: 91.5836, loss: 0.2172 2024-03-05 08:34:03,629 - mmseg - INFO - Iter [115150/160000] lr: 9.653e-06, eta: 8:46:38, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1347, decode.acc_seg: 94.1139, aux.loss_ce: 0.0841, aux.acc_seg: 91.6118, loss: 0.2189 2024-03-05 08:34:38,247 - mmseg - INFO - Iter [115200/160000] lr: 9.643e-06, eta: 8:46:02, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1462, decode.acc_seg: 93.6412, aux.loss_ce: 0.0908, aux.acc_seg: 90.9627, loss: 0.2370 2024-03-05 08:35:12,538 - mmseg - INFO - Iter [115250/160000] lr: 9.632e-06, eta: 8:45:26, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1386, decode.acc_seg: 93.9430, aux.loss_ce: 0.0875, aux.acc_seg: 91.1608, loss: 0.2262 2024-03-05 08:35:46,812 - mmseg - INFO - Iter [115300/160000] lr: 9.621e-06, eta: 8:44:51, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1450, decode.acc_seg: 93.6590, aux.loss_ce: 0.0853, aux.acc_seg: 91.3785, loss: 0.2303 2024-03-05 08:36:21,356 - mmseg - INFO - Iter [115350/160000] lr: 9.610e-06, eta: 8:44:15, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1459, decode.acc_seg: 93.7714, aux.loss_ce: 0.0876, aux.acc_seg: 91.2314, loss: 0.2335 2024-03-05 08:36:55,917 - mmseg - INFO - Iter [115400/160000] lr: 9.600e-06, eta: 8:43:40, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1524, decode.acc_seg: 93.2826, aux.loss_ce: 0.0938, aux.acc_seg: 90.4229, loss: 0.2462 2024-03-05 08:37:30,543 - mmseg - INFO - Iter [115450/160000] lr: 9.589e-06, eta: 8:43:04, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1539, decode.acc_seg: 93.3567, aux.loss_ce: 0.0922, aux.acc_seg: 90.7201, loss: 0.2462 2024-03-05 08:38:04,918 - mmseg - INFO - Iter [115500/160000] lr: 9.578e-06, eta: 8:42:29, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1369, decode.acc_seg: 93.9471, aux.loss_ce: 0.0850, aux.acc_seg: 91.2377, loss: 0.2219 2024-03-05 08:38:39,276 - mmseg - INFO - Iter [115550/160000] lr: 9.567e-06, eta: 8:41:53, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1325, decode.acc_seg: 94.0524, aux.loss_ce: 0.0829, aux.acc_seg: 91.4502, loss: 0.2155 2024-03-05 08:39:13,665 - mmseg - INFO - Iter [115600/160000] lr: 9.557e-06, eta: 8:41:18, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1402, decode.acc_seg: 93.7385, aux.loss_ce: 0.0870, aux.acc_seg: 90.9416, loss: 0.2272 2024-03-05 08:39:48,108 - mmseg - INFO - Iter [115650/160000] lr: 9.546e-06, eta: 8:40:42, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1322, decode.acc_seg: 94.1799, aux.loss_ce: 0.0829, aux.acc_seg: 91.6104, loss: 0.2150 2024-03-05 08:40:22,549 - mmseg - INFO - Iter [115700/160000] lr: 9.535e-06, eta: 8:40:07, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1430, decode.acc_seg: 93.6185, aux.loss_ce: 0.0879, aux.acc_seg: 90.9135, loss: 0.2309 2024-03-05 08:40:57,035 - mmseg - INFO - Iter [115750/160000] lr: 9.524e-06, eta: 8:39:31, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1526, decode.acc_seg: 93.6291, aux.loss_ce: 0.0950, aux.acc_seg: 90.7199, loss: 0.2476 2024-03-05 08:41:31,374 - mmseg - INFO - Iter [115800/160000] lr: 9.514e-06, eta: 8:38:56, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1389, decode.acc_seg: 93.8289, aux.loss_ce: 0.0848, aux.acc_seg: 91.3119, loss: 0.2237 2024-03-05 08:42:05,653 - mmseg - INFO - Iter [115850/160000] lr: 9.503e-06, eta: 8:38:20, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1463, decode.acc_seg: 93.5002, aux.loss_ce: 0.0916, aux.acc_seg: 90.7461, loss: 0.2379 2024-03-05 08:42:40,032 - mmseg - INFO - Iter [115900/160000] lr: 9.492e-06, eta: 8:37:45, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1413, decode.acc_seg: 93.9161, aux.loss_ce: 0.0848, aux.acc_seg: 91.4637, loss: 0.2261 2024-03-05 08:43:14,350 - mmseg - INFO - Iter [115950/160000] lr: 9.481e-06, eta: 8:37:09, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1447, decode.acc_seg: 93.7503, aux.loss_ce: 0.0904, aux.acc_seg: 90.9289, loss: 0.2351 2024-03-05 08:43:48,957 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 08:43:48,957 - mmseg - INFO - Iter [116000/160000] lr: 9.470e-06, eta: 8:36:34, time: 0.692, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1358, decode.acc_seg: 94.2039, aux.loss_ce: 0.0833, aux.acc_seg: 91.7418, loss: 0.2191 2024-03-05 08:44:23,427 - mmseg - INFO - Iter [116050/160000] lr: 9.460e-06, eta: 8:35:58, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1397, decode.acc_seg: 93.8480, aux.loss_ce: 0.0840, aux.acc_seg: 91.3696, loss: 0.2237 2024-03-05 08:44:57,766 - mmseg - INFO - Iter [116100/160000] lr: 9.449e-06, eta: 8:35:23, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1456, decode.acc_seg: 93.6811, aux.loss_ce: 0.0866, aux.acc_seg: 91.2159, loss: 0.2322 2024-03-05 08:45:32,211 - mmseg - INFO - Iter [116150/160000] lr: 9.438e-06, eta: 8:34:47, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1395, decode.acc_seg: 94.0031, aux.loss_ce: 0.0875, aux.acc_seg: 91.1915, loss: 0.2270 2024-03-05 08:46:09,362 - mmseg - INFO - Iter [116200/160000] lr: 9.427e-06, eta: 8:34:13, time: 0.743, data_time: 0.065, memory: 9361, decode.loss_ce: 0.1478, decode.acc_seg: 93.6012, aux.loss_ce: 0.0911, aux.acc_seg: 90.7961, loss: 0.2389 2024-03-05 08:46:43,604 - mmseg - INFO - Iter [116250/160000] lr: 9.417e-06, eta: 8:33:37, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1335, decode.acc_seg: 94.0124, aux.loss_ce: 0.0840, aux.acc_seg: 91.3643, loss: 0.2175 2024-03-05 08:47:17,805 - mmseg - INFO - Iter [116300/160000] lr: 9.406e-06, eta: 8:33:01, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1326, decode.acc_seg: 94.1135, aux.loss_ce: 0.0813, aux.acc_seg: 91.5319, loss: 0.2139 2024-03-05 08:47:52,317 - mmseg - INFO - Iter [116350/160000] lr: 9.395e-06, eta: 8:32:26, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1288, decode.acc_seg: 94.3573, aux.loss_ce: 0.0815, aux.acc_seg: 91.7427, loss: 0.2103 2024-03-05 08:48:26,732 - mmseg - INFO - Iter [116400/160000] lr: 9.384e-06, eta: 8:31:50, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1323, decode.acc_seg: 94.1404, aux.loss_ce: 0.0836, aux.acc_seg: 91.6086, loss: 0.2159 2024-03-05 08:49:01,206 - mmseg - INFO - Iter [116450/160000] lr: 9.374e-06, eta: 8:31:15, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1416, decode.acc_seg: 93.8084, aux.loss_ce: 0.0869, aux.acc_seg: 91.2135, loss: 0.2285 2024-03-05 08:49:35,520 - mmseg - INFO - Iter [116500/160000] lr: 9.363e-06, eta: 8:30:39, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1418, decode.acc_seg: 94.0542, aux.loss_ce: 0.0877, aux.acc_seg: 91.4749, loss: 0.2295 2024-03-05 08:50:09,818 - mmseg - INFO - Iter [116550/160000] lr: 9.352e-06, eta: 8:30:04, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1334, decode.acc_seg: 94.1878, aux.loss_ce: 0.0848, aux.acc_seg: 91.5529, loss: 0.2182 2024-03-05 08:50:44,152 - mmseg - INFO - Iter [116600/160000] lr: 9.341e-06, eta: 8:29:28, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1434, decode.acc_seg: 93.7841, aux.loss_ce: 0.0888, aux.acc_seg: 91.1124, loss: 0.2322 2024-03-05 08:51:18,621 - mmseg - INFO - Iter [116650/160000] lr: 9.331e-06, eta: 8:28:53, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1378, decode.acc_seg: 93.7738, aux.loss_ce: 0.0853, aux.acc_seg: 91.0108, loss: 0.2232 2024-03-05 08:51:53,192 - mmseg - INFO - Iter [116700/160000] lr: 9.320e-06, eta: 8:28:17, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1392, decode.acc_seg: 93.9607, aux.loss_ce: 0.0861, aux.acc_seg: 91.3609, loss: 0.2252 2024-03-05 08:52:27,547 - mmseg - INFO - Iter [116750/160000] lr: 9.309e-06, eta: 8:27:42, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1423, decode.acc_seg: 93.8667, aux.loss_ce: 0.0878, aux.acc_seg: 91.1602, loss: 0.2301 2024-03-05 08:53:01,878 - mmseg - INFO - Iter [116800/160000] lr: 9.298e-06, eta: 8:27:06, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1384, decode.acc_seg: 93.8936, aux.loss_ce: 0.0875, aux.acc_seg: 91.0791, loss: 0.2259 2024-03-05 08:53:36,147 - mmseg - INFO - Iter [116850/160000] lr: 9.288e-06, eta: 8:26:31, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1430, decode.acc_seg: 93.6767, aux.loss_ce: 0.0894, aux.acc_seg: 90.8387, loss: 0.2324 2024-03-05 08:54:10,686 - mmseg - INFO - Iter [116900/160000] lr: 9.277e-06, eta: 8:25:55, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1421, decode.acc_seg: 93.7039, aux.loss_ce: 0.0876, aux.acc_seg: 90.9594, loss: 0.2297 2024-03-05 08:54:44,902 - mmseg - INFO - Iter [116950/160000] lr: 9.266e-06, eta: 8:25:20, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1247, decode.acc_seg: 94.4016, aux.loss_ce: 0.0787, aux.acc_seg: 91.9562, loss: 0.2034 2024-03-05 08:55:19,367 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 08:55:19,368 - mmseg - INFO - Iter [117000/160000] lr: 9.255e-06, eta: 8:24:44, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1312, decode.acc_seg: 94.1709, aux.loss_ce: 0.0831, aux.acc_seg: 91.4992, loss: 0.2144 2024-03-05 08:55:53,650 - mmseg - INFO - Iter [117050/160000] lr: 9.244e-06, eta: 8:24:08, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1390, decode.acc_seg: 94.0371, aux.loss_ce: 0.0891, aux.acc_seg: 91.1332, loss: 0.2280 2024-03-05 08:56:28,118 - mmseg - INFO - Iter [117100/160000] lr: 9.234e-06, eta: 8:23:33, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1319, decode.acc_seg: 94.1776, aux.loss_ce: 0.0794, aux.acc_seg: 91.8993, loss: 0.2112 2024-03-05 08:57:02,440 - mmseg - INFO - Iter [117150/160000] lr: 9.223e-06, eta: 8:22:57, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1336, decode.acc_seg: 94.1220, aux.loss_ce: 0.0815, aux.acc_seg: 91.7913, loss: 0.2151 2024-03-05 08:57:37,072 - mmseg - INFO - Iter [117200/160000] lr: 9.212e-06, eta: 8:22:22, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1407, decode.acc_seg: 93.9933, aux.loss_ce: 0.0838, aux.acc_seg: 91.3871, loss: 0.2245 2024-03-05 08:58:11,598 - mmseg - INFO - Iter [117250/160000] lr: 9.201e-06, eta: 8:21:47, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1376, decode.acc_seg: 93.9038, aux.loss_ce: 0.0859, aux.acc_seg: 91.1812, loss: 0.2235 2024-03-05 08:58:45,796 - mmseg - INFO - Iter [117300/160000] lr: 9.191e-06, eta: 8:21:11, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1519, decode.acc_seg: 93.5835, aux.loss_ce: 0.0951, aux.acc_seg: 90.7792, loss: 0.2470 2024-03-05 08:59:19,967 - mmseg - INFO - Iter [117350/160000] lr: 9.180e-06, eta: 8:20:35, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1423, decode.acc_seg: 93.8577, aux.loss_ce: 0.0868, aux.acc_seg: 91.2342, loss: 0.2292 2024-03-05 08:59:54,260 - mmseg - INFO - Iter [117400/160000] lr: 9.169e-06, eta: 8:20:00, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1401, decode.acc_seg: 93.9222, aux.loss_ce: 0.0840, aux.acc_seg: 91.5680, loss: 0.2242 2024-03-05 09:00:28,690 - mmseg - INFO - Iter [117450/160000] lr: 9.158e-06, eta: 8:19:24, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1393, decode.acc_seg: 93.8529, aux.loss_ce: 0.0862, aux.acc_seg: 91.1574, loss: 0.2255 2024-03-05 09:01:05,795 - mmseg - INFO - Iter [117500/160000] lr: 9.148e-06, eta: 8:18:50, time: 0.742, data_time: 0.062, memory: 9361, decode.loss_ce: 0.1367, decode.acc_seg: 94.1785, aux.loss_ce: 0.0863, aux.acc_seg: 91.3881, loss: 0.2230 2024-03-05 09:01:40,246 - mmseg - INFO - Iter [117550/160000] lr: 9.137e-06, eta: 8:18:14, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1403, decode.acc_seg: 93.8662, aux.loss_ce: 0.0900, aux.acc_seg: 90.9673, loss: 0.2303 2024-03-05 09:02:14,734 - mmseg - INFO - Iter [117600/160000] lr: 9.126e-06, eta: 8:17:39, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1361, decode.acc_seg: 94.0318, aux.loss_ce: 0.0819, aux.acc_seg: 91.5899, loss: 0.2180 2024-03-05 09:02:48,996 - mmseg - INFO - Iter [117650/160000] lr: 9.115e-06, eta: 8:17:03, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1344, decode.acc_seg: 94.0506, aux.loss_ce: 0.0860, aux.acc_seg: 91.1807, loss: 0.2205 2024-03-05 09:03:23,357 - mmseg - INFO - Iter [117700/160000] lr: 9.105e-06, eta: 8:16:28, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1396, decode.acc_seg: 93.7989, aux.loss_ce: 0.0843, aux.acc_seg: 91.3145, loss: 0.2239 2024-03-05 09:03:57,881 - mmseg - INFO - Iter [117750/160000] lr: 9.094e-06, eta: 8:15:52, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1389, decode.acc_seg: 93.8167, aux.loss_ce: 0.0843, aux.acc_seg: 91.2820, loss: 0.2231 2024-03-05 09:04:32,392 - mmseg - INFO - Iter [117800/160000] lr: 9.083e-06, eta: 8:15:17, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1491, decode.acc_seg: 93.4049, aux.loss_ce: 0.0954, aux.acc_seg: 90.4400, loss: 0.2445 2024-03-05 09:05:06,719 - mmseg - INFO - Iter [117850/160000] lr: 9.072e-06, eta: 8:14:41, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1437, decode.acc_seg: 93.7205, aux.loss_ce: 0.0906, aux.acc_seg: 90.7924, loss: 0.2342 2024-03-05 09:05:41,137 - mmseg - INFO - Iter [117900/160000] lr: 9.062e-06, eta: 8:14:06, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1380, decode.acc_seg: 94.2052, aux.loss_ce: 0.0874, aux.acc_seg: 91.4750, loss: 0.2254 2024-03-05 09:06:15,536 - mmseg - INFO - Iter [117950/160000] lr: 9.051e-06, eta: 8:13:30, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1372, decode.acc_seg: 93.9932, aux.loss_ce: 0.0849, aux.acc_seg: 91.3867, loss: 0.2221 2024-03-05 09:06:49,736 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 09:06:49,736 - mmseg - INFO - Iter [118000/160000] lr: 9.040e-06, eta: 8:12:55, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1361, decode.acc_seg: 94.0502, aux.loss_ce: 0.0834, aux.acc_seg: 91.4984, loss: 0.2195 2024-03-05 09:07:23,984 - mmseg - INFO - Iter [118050/160000] lr: 9.029e-06, eta: 8:12:19, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1323, decode.acc_seg: 94.1244, aux.loss_ce: 0.0828, aux.acc_seg: 91.5155, loss: 0.2151 2024-03-05 09:07:58,264 - mmseg - INFO - Iter [118100/160000] lr: 9.019e-06, eta: 8:11:44, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1459, decode.acc_seg: 93.6523, aux.loss_ce: 0.0886, aux.acc_seg: 91.1420, loss: 0.2345 2024-03-05 09:08:32,711 - mmseg - INFO - Iter [118150/160000] lr: 9.008e-06, eta: 8:11:08, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1439, decode.acc_seg: 93.7180, aux.loss_ce: 0.0886, aux.acc_seg: 91.0598, loss: 0.2325 2024-03-05 09:09:07,171 - mmseg - INFO - Iter [118200/160000] lr: 8.997e-06, eta: 8:10:33, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1352, decode.acc_seg: 94.1092, aux.loss_ce: 0.0842, aux.acc_seg: 91.5155, loss: 0.2195 2024-03-05 09:09:41,517 - mmseg - INFO - Iter [118250/160000] lr: 8.986e-06, eta: 8:09:57, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1478, decode.acc_seg: 93.5619, aux.loss_ce: 0.0924, aux.acc_seg: 90.7776, loss: 0.2402 2024-03-05 09:10:15,909 - mmseg - INFO - Iter [118300/160000] lr: 8.975e-06, eta: 8:09:22, time: 0.688, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1339, decode.acc_seg: 94.1267, aux.loss_ce: 0.0808, aux.acc_seg: 91.8288, loss: 0.2147 2024-03-05 09:10:50,358 - mmseg - INFO - Iter [118350/160000] lr: 8.965e-06, eta: 8:08:46, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1363, decode.acc_seg: 94.1697, aux.loss_ce: 0.0832, aux.acc_seg: 91.7350, loss: 0.2196 2024-03-05 09:11:24,778 - mmseg - INFO - Iter [118400/160000] lr: 8.954e-06, eta: 8:08:11, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1359, decode.acc_seg: 94.0969, aux.loss_ce: 0.0828, aux.acc_seg: 91.7412, loss: 0.2186 2024-03-05 09:11:59,263 - mmseg - INFO - Iter [118450/160000] lr: 8.943e-06, eta: 8:07:35, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1407, decode.acc_seg: 93.8470, aux.loss_ce: 0.0847, aux.acc_seg: 91.4370, loss: 0.2254 2024-03-05 09:12:33,699 - mmseg - INFO - Iter [118500/160000] lr: 8.932e-06, eta: 8:07:00, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1428, decode.acc_seg: 93.8235, aux.loss_ce: 0.0824, aux.acc_seg: 91.6026, loss: 0.2252 2024-03-05 09:13:08,081 - mmseg - INFO - Iter [118550/160000] lr: 8.922e-06, eta: 8:06:24, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1378, decode.acc_seg: 93.9391, aux.loss_ce: 0.0846, aux.acc_seg: 91.4055, loss: 0.2224 2024-03-05 09:13:42,483 - mmseg - INFO - Iter [118600/160000] lr: 8.911e-06, eta: 8:05:49, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1427, decode.acc_seg: 93.8504, aux.loss_ce: 0.0872, aux.acc_seg: 91.2162, loss: 0.2299 2024-03-05 09:14:16,870 - mmseg - INFO - Iter [118650/160000] lr: 8.900e-06, eta: 8:05:13, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1397, decode.acc_seg: 93.7750, aux.loss_ce: 0.0876, aux.acc_seg: 90.9174, loss: 0.2274 2024-03-05 09:14:51,342 - mmseg - INFO - Iter [118700/160000] lr: 8.889e-06, eta: 8:04:38, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1351, decode.acc_seg: 93.8546, aux.loss_ce: 0.0808, aux.acc_seg: 91.5803, loss: 0.2159 2024-03-05 09:15:28,753 - mmseg - INFO - Iter [118750/160000] lr: 8.879e-06, eta: 8:04:03, time: 0.748, data_time: 0.057, memory: 9361, decode.loss_ce: 0.1339, decode.acc_seg: 94.0971, aux.loss_ce: 0.0813, aux.acc_seg: 91.5574, loss: 0.2152 2024-03-05 09:16:03,259 - mmseg - INFO - Iter [118800/160000] lr: 8.868e-06, eta: 8:03:28, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1397, decode.acc_seg: 93.8559, aux.loss_ce: 0.0860, aux.acc_seg: 91.2647, loss: 0.2256 2024-03-05 09:16:37,768 - mmseg - INFO - Iter [118850/160000] lr: 8.857e-06, eta: 8:02:53, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1424, decode.acc_seg: 93.7889, aux.loss_ce: 0.0865, aux.acc_seg: 91.2371, loss: 0.2289 2024-03-05 09:17:12,167 - mmseg - INFO - Iter [118900/160000] lr: 8.846e-06, eta: 8:02:17, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1444, decode.acc_seg: 93.5189, aux.loss_ce: 0.0896, aux.acc_seg: 90.8629, loss: 0.2339 2024-03-05 09:17:46,483 - mmseg - INFO - Iter [118950/160000] lr: 8.836e-06, eta: 8:01:42, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1342, decode.acc_seg: 93.9013, aux.loss_ce: 0.0799, aux.acc_seg: 91.6774, loss: 0.2141 2024-03-05 09:18:20,767 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 09:18:20,767 - mmseg - INFO - Iter [119000/160000] lr: 8.825e-06, eta: 8:01:06, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1344, decode.acc_seg: 93.9768, aux.loss_ce: 0.0839, aux.acc_seg: 91.3594, loss: 0.2183 2024-03-05 09:18:55,123 - mmseg - INFO - Iter [119050/160000] lr: 8.814e-06, eta: 8:00:31, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1430, decode.acc_seg: 93.8002, aux.loss_ce: 0.0870, aux.acc_seg: 91.4520, loss: 0.2300 2024-03-05 09:19:29,527 - mmseg - INFO - Iter [119100/160000] lr: 8.803e-06, eta: 7:59:55, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1396, decode.acc_seg: 93.8966, aux.loss_ce: 0.0848, aux.acc_seg: 91.3774, loss: 0.2244 2024-03-05 09:20:03,788 - mmseg - INFO - Iter [119150/160000] lr: 8.793e-06, eta: 7:59:20, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1378, decode.acc_seg: 93.8668, aux.loss_ce: 0.0860, aux.acc_seg: 91.0968, loss: 0.2238 2024-03-05 09:20:38,064 - mmseg - INFO - Iter [119200/160000] lr: 8.782e-06, eta: 7:58:44, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1334, decode.acc_seg: 93.9474, aux.loss_ce: 0.0817, aux.acc_seg: 91.4355, loss: 0.2151 2024-03-05 09:21:12,558 - mmseg - INFO - Iter [119250/160000] lr: 8.771e-06, eta: 7:58:09, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1315, decode.acc_seg: 94.3079, aux.loss_ce: 0.0833, aux.acc_seg: 91.5918, loss: 0.2148 2024-03-05 09:21:46,887 - mmseg - INFO - Iter [119300/160000] lr: 8.760e-06, eta: 7:57:33, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1402, decode.acc_seg: 93.8794, aux.loss_ce: 0.0875, aux.acc_seg: 91.2428, loss: 0.2277 2024-03-05 09:22:21,263 - mmseg - INFO - Iter [119350/160000] lr: 8.749e-06, eta: 7:56:58, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1361, decode.acc_seg: 94.1446, aux.loss_ce: 0.0837, aux.acc_seg: 91.6643, loss: 0.2199 2024-03-05 09:22:55,497 - mmseg - INFO - Iter [119400/160000] lr: 8.739e-06, eta: 7:56:22, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1332, decode.acc_seg: 94.0417, aux.loss_ce: 0.0849, aux.acc_seg: 91.2844, loss: 0.2181 2024-03-05 09:23:29,600 - mmseg - INFO - Iter [119450/160000] lr: 8.728e-06, eta: 7:55:47, time: 0.682, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1321, decode.acc_seg: 94.2247, aux.loss_ce: 0.0815, aux.acc_seg: 91.7570, loss: 0.2136 2024-03-05 09:24:04,172 - mmseg - INFO - Iter [119500/160000] lr: 8.717e-06, eta: 7:55:11, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1361, decode.acc_seg: 94.0640, aux.loss_ce: 0.0844, aux.acc_seg: 91.5147, loss: 0.2205 2024-03-05 09:24:38,469 - mmseg - INFO - Iter [119550/160000] lr: 8.706e-06, eta: 7:54:36, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1411, decode.acc_seg: 93.6535, aux.loss_ce: 0.0871, aux.acc_seg: 90.9705, loss: 0.2283 2024-03-05 09:25:12,927 - mmseg - INFO - Iter [119600/160000] lr: 8.696e-06, eta: 7:54:00, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1375, decode.acc_seg: 94.0888, aux.loss_ce: 0.0854, aux.acc_seg: 91.5239, loss: 0.2229 2024-03-05 09:25:47,297 - mmseg - INFO - Iter [119650/160000] lr: 8.685e-06, eta: 7:53:25, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1369, decode.acc_seg: 93.9956, aux.loss_ce: 0.0846, aux.acc_seg: 91.3770, loss: 0.2215 2024-03-05 09:26:21,951 - mmseg - INFO - Iter [119700/160000] lr: 8.674e-06, eta: 7:52:49, time: 0.693, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1329, decode.acc_seg: 93.9698, aux.loss_ce: 0.0814, aux.acc_seg: 91.5061, loss: 0.2144 2024-03-05 09:26:56,336 - mmseg - INFO - Iter [119750/160000] lr: 8.663e-06, eta: 7:52:14, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1297, decode.acc_seg: 94.3065, aux.loss_ce: 0.0810, aux.acc_seg: 91.7134, loss: 0.2107 2024-03-05 09:27:30,651 - mmseg - INFO - Iter [119800/160000] lr: 8.653e-06, eta: 7:51:38, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1373, decode.acc_seg: 94.0220, aux.loss_ce: 0.0862, aux.acc_seg: 91.3465, loss: 0.2234 2024-03-05 09:28:04,853 - mmseg - INFO - Iter [119850/160000] lr: 8.642e-06, eta: 7:51:03, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1378, decode.acc_seg: 93.9773, aux.loss_ce: 0.0818, aux.acc_seg: 91.6929, loss: 0.2195 2024-03-05 09:28:39,258 - mmseg - INFO - Iter [119900/160000] lr: 8.631e-06, eta: 7:50:27, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1368, decode.acc_seg: 93.9929, aux.loss_ce: 0.0864, aux.acc_seg: 91.2703, loss: 0.2232 2024-03-05 09:29:13,433 - mmseg - INFO - Iter [119950/160000] lr: 8.620e-06, eta: 7:49:52, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1412, decode.acc_seg: 93.9296, aux.loss_ce: 0.0881, aux.acc_seg: 91.3043, loss: 0.2293 2024-03-05 09:29:50,844 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 09:29:50,845 - mmseg - INFO - Iter [120000/160000] lr: 8.610e-06, eta: 7:49:17, time: 0.748, data_time: 0.072, memory: 9361, decode.loss_ce: 0.1259, decode.acc_seg: 94.3951, aux.loss_ce: 0.0780, aux.acc_seg: 91.9551, loss: 0.2040 2024-03-05 09:30:25,304 - mmseg - INFO - Iter [120050/160000] lr: 8.599e-06, eta: 7:48:42, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1400, decode.acc_seg: 93.8053, aux.loss_ce: 0.0865, aux.acc_seg: 91.1538, loss: 0.2265 2024-03-05 09:30:59,727 - mmseg - INFO - Iter [120100/160000] lr: 8.588e-06, eta: 7:48:06, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1358, decode.acc_seg: 94.0616, aux.loss_ce: 0.0857, aux.acc_seg: 91.3069, loss: 0.2215 2024-03-05 09:31:33,957 - mmseg - INFO - Iter [120150/160000] lr: 8.577e-06, eta: 7:47:31, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1357, decode.acc_seg: 94.0246, aux.loss_ce: 0.0844, aux.acc_seg: 91.3807, loss: 0.2202 2024-03-05 09:32:08,210 - mmseg - INFO - Iter [120200/160000] lr: 8.567e-06, eta: 7:46:55, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1352, decode.acc_seg: 94.1066, aux.loss_ce: 0.0838, aux.acc_seg: 91.6039, loss: 0.2191 2024-03-05 09:32:42,627 - mmseg - INFO - Iter [120250/160000] lr: 8.556e-06, eta: 7:46:20, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1382, decode.acc_seg: 93.9820, aux.loss_ce: 0.0875, aux.acc_seg: 91.2570, loss: 0.2257 2024-03-05 09:33:16,898 - mmseg - INFO - Iter [120300/160000] lr: 8.545e-06, eta: 7:45:44, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1381, decode.acc_seg: 94.0264, aux.loss_ce: 0.0840, aux.acc_seg: 91.6251, loss: 0.2221 2024-03-05 09:33:51,159 - mmseg - INFO - Iter [120350/160000] lr: 8.534e-06, eta: 7:45:09, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1324, decode.acc_seg: 94.1007, aux.loss_ce: 0.0794, aux.acc_seg: 91.8441, loss: 0.2118 2024-03-05 09:34:25,612 - mmseg - INFO - Iter [120400/160000] lr: 8.523e-06, eta: 7:44:34, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1393, decode.acc_seg: 94.0165, aux.loss_ce: 0.0843, aux.acc_seg: 91.5439, loss: 0.2237 2024-03-05 09:35:00,098 - mmseg - INFO - Iter [120450/160000] lr: 8.513e-06, eta: 7:43:58, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1317, decode.acc_seg: 94.2821, aux.loss_ce: 0.0811, aux.acc_seg: 91.8178, loss: 0.2128 2024-03-05 09:35:34,561 - mmseg - INFO - Iter [120500/160000] lr: 8.502e-06, eta: 7:43:23, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1297, decode.acc_seg: 94.3161, aux.loss_ce: 0.0824, aux.acc_seg: 91.6234, loss: 0.2120 2024-03-05 09:36:09,054 - mmseg - INFO - Iter [120550/160000] lr: 8.491e-06, eta: 7:42:47, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1495, decode.acc_seg: 93.9322, aux.loss_ce: 0.0900, aux.acc_seg: 91.3884, loss: 0.2396 2024-03-05 09:36:43,413 - mmseg - INFO - Iter [120600/160000] lr: 8.480e-06, eta: 7:42:12, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1293, decode.acc_seg: 94.2332, aux.loss_ce: 0.0784, aux.acc_seg: 91.7512, loss: 0.2077 2024-03-05 09:37:17,820 - mmseg - INFO - Iter [120650/160000] lr: 8.470e-06, eta: 7:41:36, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1347, decode.acc_seg: 94.1250, aux.loss_ce: 0.0838, aux.acc_seg: 91.4851, loss: 0.2184 2024-03-05 09:37:52,365 - mmseg - INFO - Iter [120700/160000] lr: 8.459e-06, eta: 7:41:01, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1445, decode.acc_seg: 93.8236, aux.loss_ce: 0.0906, aux.acc_seg: 90.9506, loss: 0.2351 2024-03-05 09:38:26,719 - mmseg - INFO - Iter [120750/160000] lr: 8.448e-06, eta: 7:40:25, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1413, decode.acc_seg: 93.8543, aux.loss_ce: 0.0892, aux.acc_seg: 91.1212, loss: 0.2305 2024-03-05 09:39:01,339 - mmseg - INFO - Iter [120800/160000] lr: 8.437e-06, eta: 7:39:50, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1378, decode.acc_seg: 94.0336, aux.loss_ce: 0.0837, aux.acc_seg: 91.5512, loss: 0.2215 2024-03-05 09:39:35,690 - mmseg - INFO - Iter [120850/160000] lr: 8.427e-06, eta: 7:39:15, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1413, decode.acc_seg: 93.6862, aux.loss_ce: 0.0901, aux.acc_seg: 90.6087, loss: 0.2314 2024-03-05 09:40:10,135 - mmseg - INFO - Iter [120900/160000] lr: 8.416e-06, eta: 7:38:39, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1442, decode.acc_seg: 93.7016, aux.loss_ce: 0.0885, aux.acc_seg: 91.0620, loss: 0.2327 2024-03-05 09:40:44,601 - mmseg - INFO - Iter [120950/160000] lr: 8.405e-06, eta: 7:38:04, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1312, decode.acc_seg: 94.2124, aux.loss_ce: 0.0797, aux.acc_seg: 91.7880, loss: 0.2109 2024-03-05 09:41:19,060 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 09:41:19,060 - mmseg - INFO - Iter [121000/160000] lr: 8.394e-06, eta: 7:37:28, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1392, decode.acc_seg: 93.7331, aux.loss_ce: 0.0841, aux.acc_seg: 91.2676, loss: 0.2233 2024-03-05 09:41:53,477 - mmseg - INFO - Iter [121050/160000] lr: 8.384e-06, eta: 7:36:53, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1421, decode.acc_seg: 93.6847, aux.loss_ce: 0.0862, aux.acc_seg: 91.2406, loss: 0.2283 2024-03-05 09:42:27,782 - mmseg - INFO - Iter [121100/160000] lr: 8.373e-06, eta: 7:36:17, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1271, decode.acc_seg: 94.3118, aux.loss_ce: 0.0805, aux.acc_seg: 91.5758, loss: 0.2076 2024-03-05 09:43:02,142 - mmseg - INFO - Iter [121150/160000] lr: 8.362e-06, eta: 7:35:42, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1343, decode.acc_seg: 93.9090, aux.loss_ce: 0.0848, aux.acc_seg: 91.1564, loss: 0.2191 2024-03-05 09:43:36,412 - mmseg - INFO - Iter [121200/160000] lr: 8.351e-06, eta: 7:35:06, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1370, decode.acc_seg: 93.8976, aux.loss_ce: 0.0814, aux.acc_seg: 91.7118, loss: 0.2183 2024-03-05 09:44:13,627 - mmseg - INFO - Iter [121250/160000] lr: 8.341e-06, eta: 7:34:32, time: 0.744, data_time: 0.068, memory: 9361, decode.loss_ce: 0.1313, decode.acc_seg: 94.1518, aux.loss_ce: 0.0821, aux.acc_seg: 91.6249, loss: 0.2134 2024-03-05 09:44:47,934 - mmseg - INFO - Iter [121300/160000] lr: 8.330e-06, eta: 7:33:56, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1308, decode.acc_seg: 94.1769, aux.loss_ce: 0.0790, aux.acc_seg: 91.8699, loss: 0.2098 2024-03-05 09:45:22,332 - mmseg - INFO - Iter [121350/160000] lr: 8.319e-06, eta: 7:33:21, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1353, decode.acc_seg: 93.9808, aux.loss_ce: 0.0833, aux.acc_seg: 91.5129, loss: 0.2186 2024-03-05 09:45:56,702 - mmseg - INFO - Iter [121400/160000] lr: 8.308e-06, eta: 7:32:46, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1289, decode.acc_seg: 94.2847, aux.loss_ce: 0.0822, aux.acc_seg: 91.5732, loss: 0.2111 2024-03-05 09:46:31,086 - mmseg - INFO - Iter [121450/160000] lr: 8.297e-06, eta: 7:32:10, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1414, decode.acc_seg: 93.8895, aux.loss_ce: 0.0883, aux.acc_seg: 91.1630, loss: 0.2297 2024-03-05 09:47:05,521 - mmseg - INFO - Iter [121500/160000] lr: 8.287e-06, eta: 7:31:35, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1384, decode.acc_seg: 93.8747, aux.loss_ce: 0.0836, aux.acc_seg: 91.3573, loss: 0.2221 2024-03-05 09:47:39,934 - mmseg - INFO - Iter [121550/160000] lr: 8.276e-06, eta: 7:30:59, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1327, decode.acc_seg: 94.1403, aux.loss_ce: 0.0823, aux.acc_seg: 91.6815, loss: 0.2150 2024-03-05 09:48:14,354 - mmseg - INFO - Iter [121600/160000] lr: 8.265e-06, eta: 7:30:24, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1329, decode.acc_seg: 94.2414, aux.loss_ce: 0.0832, aux.acc_seg: 91.5680, loss: 0.2161 2024-03-05 09:48:48,777 - mmseg - INFO - Iter [121650/160000] lr: 8.254e-06, eta: 7:29:48, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1318, decode.acc_seg: 94.2538, aux.loss_ce: 0.0824, aux.acc_seg: 91.5931, loss: 0.2142 2024-03-05 09:49:23,413 - mmseg - INFO - Iter [121700/160000] lr: 8.244e-06, eta: 7:29:13, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1385, decode.acc_seg: 93.9266, aux.loss_ce: 0.0881, aux.acc_seg: 91.1835, loss: 0.2266 2024-03-05 09:49:57,946 - mmseg - INFO - Iter [121750/160000] lr: 8.233e-06, eta: 7:28:38, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1312, decode.acc_seg: 94.2608, aux.loss_ce: 0.0812, aux.acc_seg: 91.6965, loss: 0.2125 2024-03-05 09:50:32,371 - mmseg - INFO - Iter [121800/160000] lr: 8.222e-06, eta: 7:28:02, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1260, decode.acc_seg: 94.4964, aux.loss_ce: 0.0802, aux.acc_seg: 91.9216, loss: 0.2062 2024-03-05 09:51:06,893 - mmseg - INFO - Iter [121850/160000] lr: 8.211e-06, eta: 7:27:27, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1417, decode.acc_seg: 93.8119, aux.loss_ce: 0.0845, aux.acc_seg: 91.4808, loss: 0.2262 2024-03-05 09:51:41,273 - mmseg - INFO - Iter [121900/160000] lr: 8.201e-06, eta: 7:26:51, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1380, decode.acc_seg: 93.9631, aux.loss_ce: 0.0850, aux.acc_seg: 91.3666, loss: 0.2230 2024-03-05 09:52:15,764 - mmseg - INFO - Iter [121950/160000] lr: 8.190e-06, eta: 7:26:16, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1312, decode.acc_seg: 94.2083, aux.loss_ce: 0.0829, aux.acc_seg: 91.4711, loss: 0.2141 2024-03-05 09:52:50,090 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 09:52:50,090 - mmseg - INFO - Iter [122000/160000] lr: 8.179e-06, eta: 7:25:41, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1381, decode.acc_seg: 93.9784, aux.loss_ce: 0.0876, aux.acc_seg: 91.2460, loss: 0.2257 2024-03-05 09:53:24,527 - mmseg - INFO - Iter [122050/160000] lr: 8.168e-06, eta: 7:25:05, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1326, decode.acc_seg: 94.2254, aux.loss_ce: 0.0860, aux.acc_seg: 91.5170, loss: 0.2186 2024-03-05 09:53:58,904 - mmseg - INFO - Iter [122100/160000] lr: 8.158e-06, eta: 7:24:30, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1372, decode.acc_seg: 93.9392, aux.loss_ce: 0.0838, aux.acc_seg: 91.4078, loss: 0.2210 2024-03-05 09:54:33,473 - mmseg - INFO - Iter [122150/160000] lr: 8.147e-06, eta: 7:23:54, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1371, decode.acc_seg: 94.0267, aux.loss_ce: 0.0860, aux.acc_seg: 91.2816, loss: 0.2231 2024-03-05 09:55:07,925 - mmseg - INFO - Iter [122200/160000] lr: 8.136e-06, eta: 7:23:19, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1319, decode.acc_seg: 94.1878, aux.loss_ce: 0.0813, aux.acc_seg: 91.7682, loss: 0.2132 2024-03-05 09:55:42,140 - mmseg - INFO - Iter [122250/160000] lr: 8.125e-06, eta: 7:22:43, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1324, decode.acc_seg: 93.9850, aux.loss_ce: 0.0808, aux.acc_seg: 91.6194, loss: 0.2132 2024-03-05 09:56:16,450 - mmseg - INFO - Iter [122300/160000] lr: 8.115e-06, eta: 7:22:08, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1330, decode.acc_seg: 94.0426, aux.loss_ce: 0.0833, aux.acc_seg: 91.4944, loss: 0.2163 2024-03-05 09:56:51,002 - mmseg - INFO - Iter [122350/160000] lr: 8.104e-06, eta: 7:21:33, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1299, decode.acc_seg: 94.2086, aux.loss_ce: 0.0825, aux.acc_seg: 91.4784, loss: 0.2124 2024-03-05 09:57:25,513 - mmseg - INFO - Iter [122400/160000] lr: 8.093e-06, eta: 7:20:57, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1452, decode.acc_seg: 93.6303, aux.loss_ce: 0.0889, aux.acc_seg: 91.0539, loss: 0.2340 2024-03-05 09:57:59,879 - mmseg - INFO - Iter [122450/160000] lr: 8.082e-06, eta: 7:20:22, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1391, decode.acc_seg: 93.8336, aux.loss_ce: 0.0886, aux.acc_seg: 91.0929, loss: 0.2277 2024-03-05 09:58:34,144 - mmseg - INFO - Iter [122500/160000] lr: 8.071e-06, eta: 7:19:46, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1287, decode.acc_seg: 94.1883, aux.loss_ce: 0.0785, aux.acc_seg: 91.7767, loss: 0.2073 2024-03-05 09:59:11,553 - mmseg - INFO - Iter [122550/160000] lr: 8.061e-06, eta: 7:19:12, time: 0.748, data_time: 0.067, memory: 9361, decode.loss_ce: 0.1341, decode.acc_seg: 94.1977, aux.loss_ce: 0.0823, aux.acc_seg: 91.7135, loss: 0.2164 2024-03-05 09:59:45,711 - mmseg - INFO - Iter [122600/160000] lr: 8.050e-06, eta: 7:18:36, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1307, decode.acc_seg: 94.2939, aux.loss_ce: 0.0830, aux.acc_seg: 91.6809, loss: 0.2137 2024-03-05 10:00:20,149 - mmseg - INFO - Iter [122650/160000] lr: 8.039e-06, eta: 7:18:01, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1339, decode.acc_seg: 94.2037, aux.loss_ce: 0.0815, aux.acc_seg: 91.7489, loss: 0.2154 2024-03-05 10:00:54,456 - mmseg - INFO - Iter [122700/160000] lr: 8.028e-06, eta: 7:17:25, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1356, decode.acc_seg: 94.0193, aux.loss_ce: 0.0867, aux.acc_seg: 91.1986, loss: 0.2223 2024-03-05 10:01:28,735 - mmseg - INFO - Iter [122750/160000] lr: 8.018e-06, eta: 7:16:50, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1405, decode.acc_seg: 93.7735, aux.loss_ce: 0.0868, aux.acc_seg: 91.1364, loss: 0.2274 2024-03-05 10:02:03,171 - mmseg - INFO - Iter [122800/160000] lr: 8.007e-06, eta: 7:16:15, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1373, decode.acc_seg: 93.8885, aux.loss_ce: 0.0840, aux.acc_seg: 91.2546, loss: 0.2213 2024-03-05 10:02:37,578 - mmseg - INFO - Iter [122850/160000] lr: 7.996e-06, eta: 7:15:39, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1374, decode.acc_seg: 93.9975, aux.loss_ce: 0.0868, aux.acc_seg: 91.2629, loss: 0.2242 2024-03-05 10:03:11,840 - mmseg - INFO - Iter [122900/160000] lr: 7.985e-06, eta: 7:15:04, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1318, decode.acc_seg: 94.2390, aux.loss_ce: 0.0810, aux.acc_seg: 91.7884, loss: 0.2128 2024-03-05 10:03:46,240 - mmseg - INFO - Iter [122950/160000] lr: 7.975e-06, eta: 7:14:28, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1292, decode.acc_seg: 94.2842, aux.loss_ce: 0.0814, aux.acc_seg: 91.8190, loss: 0.2106 2024-03-05 10:04:20,612 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 10:04:20,612 - mmseg - INFO - Iter [123000/160000] lr: 7.964e-06, eta: 7:13:53, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1354, decode.acc_seg: 93.9929, aux.loss_ce: 0.0835, aux.acc_seg: 91.4317, loss: 0.2189 2024-03-05 10:04:55,180 - mmseg - INFO - Iter [123050/160000] lr: 7.953e-06, eta: 7:13:17, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1276, decode.acc_seg: 94.2493, aux.loss_ce: 0.0795, aux.acc_seg: 91.6829, loss: 0.2072 2024-03-05 10:05:29,577 - mmseg - INFO - Iter [123100/160000] lr: 7.942e-06, eta: 7:12:42, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1353, decode.acc_seg: 94.0329, aux.loss_ce: 0.0859, aux.acc_seg: 91.4150, loss: 0.2212 2024-03-05 10:06:04,218 - mmseg - INFO - Iter [123150/160000] lr: 7.932e-06, eta: 7:12:07, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1368, decode.acc_seg: 94.0135, aux.loss_ce: 0.0851, aux.acc_seg: 91.3912, loss: 0.2219 2024-03-05 10:06:38,575 - mmseg - INFO - Iter [123200/160000] lr: 7.921e-06, eta: 7:11:31, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1403, decode.acc_seg: 93.9417, aux.loss_ce: 0.0874, aux.acc_seg: 91.2132, loss: 0.2278 2024-03-05 10:07:12,951 - mmseg - INFO - Iter [123250/160000] lr: 7.910e-06, eta: 7:10:56, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1337, decode.acc_seg: 94.1804, aux.loss_ce: 0.0805, aux.acc_seg: 91.8146, loss: 0.2142 2024-03-05 10:07:47,239 - mmseg - INFO - Iter [123300/160000] lr: 7.899e-06, eta: 7:10:20, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1364, decode.acc_seg: 94.0855, aux.loss_ce: 0.0833, aux.acc_seg: 91.5486, loss: 0.2197 2024-03-05 10:08:21,869 - mmseg - INFO - Iter [123350/160000] lr: 7.889e-06, eta: 7:09:45, time: 0.693, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1357, decode.acc_seg: 94.1320, aux.loss_ce: 0.0829, aux.acc_seg: 91.6494, loss: 0.2187 2024-03-05 10:08:56,114 - mmseg - INFO - Iter [123400/160000] lr: 7.878e-06, eta: 7:09:10, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1368, decode.acc_seg: 93.9357, aux.loss_ce: 0.0879, aux.acc_seg: 91.0688, loss: 0.2247 2024-03-05 10:09:30,523 - mmseg - INFO - Iter [123450/160000] lr: 7.867e-06, eta: 7:08:34, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1378, decode.acc_seg: 93.9274, aux.loss_ce: 0.0838, aux.acc_seg: 91.3447, loss: 0.2217 2024-03-05 10:10:04,742 - mmseg - INFO - Iter [123500/160000] lr: 7.856e-06, eta: 7:07:59, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1367, decode.acc_seg: 93.9524, aux.loss_ce: 0.0858, aux.acc_seg: 91.3167, loss: 0.2224 2024-03-05 10:10:39,200 - mmseg - INFO - Iter [123550/160000] lr: 7.845e-06, eta: 7:07:23, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1274, decode.acc_seg: 94.4434, aux.loss_ce: 0.0804, aux.acc_seg: 91.8468, loss: 0.2078 2024-03-05 10:11:13,663 - mmseg - INFO - Iter [123600/160000] lr: 7.835e-06, eta: 7:06:48, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1270, decode.acc_seg: 94.1929, aux.loss_ce: 0.0813, aux.acc_seg: 91.5082, loss: 0.2083 2024-03-05 10:11:47,923 - mmseg - INFO - Iter [123650/160000] lr: 7.824e-06, eta: 7:06:13, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1297, decode.acc_seg: 94.1668, aux.loss_ce: 0.0822, aux.acc_seg: 91.5332, loss: 0.2119 2024-03-05 10:12:22,274 - mmseg - INFO - Iter [123700/160000] lr: 7.813e-06, eta: 7:05:37, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1398, decode.acc_seg: 93.8662, aux.loss_ce: 0.0870, aux.acc_seg: 91.2938, loss: 0.2268 2024-03-05 10:12:56,686 - mmseg - INFO - Iter [123750/160000] lr: 7.802e-06, eta: 7:05:02, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1285, decode.acc_seg: 94.4184, aux.loss_ce: 0.0805, aux.acc_seg: 91.8771, loss: 0.2089 2024-03-05 10:13:34,026 - mmseg - INFO - Iter [123800/160000] lr: 7.792e-06, eta: 7:04:27, time: 0.747, data_time: 0.069, memory: 9361, decode.loss_ce: 0.1350, decode.acc_seg: 94.0087, aux.loss_ce: 0.0849, aux.acc_seg: 91.2566, loss: 0.2199 2024-03-05 10:14:08,371 - mmseg - INFO - Iter [123850/160000] lr: 7.781e-06, eta: 7:03:52, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1322, decode.acc_seg: 93.8831, aux.loss_ce: 0.0812, aux.acc_seg: 91.4212, loss: 0.2134 2024-03-05 10:14:42,947 - mmseg - INFO - Iter [123900/160000] lr: 7.770e-06, eta: 7:03:16, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1318, decode.acc_seg: 94.1432, aux.loss_ce: 0.0821, aux.acc_seg: 91.5112, loss: 0.2139 2024-03-05 10:15:17,430 - mmseg - INFO - Iter [123950/160000] lr: 7.759e-06, eta: 7:02:41, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1233, decode.acc_seg: 94.4695, aux.loss_ce: 0.0801, aux.acc_seg: 91.6264, loss: 0.2034 2024-03-05 10:15:52,063 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 10:15:52,064 - mmseg - INFO - Iter [124000/160000] lr: 7.749e-06, eta: 7:02:06, time: 0.693, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1338, decode.acc_seg: 94.1670, aux.loss_ce: 0.0835, aux.acc_seg: 91.5885, loss: 0.2173 2024-03-05 10:16:26,306 - mmseg - INFO - Iter [124050/160000] lr: 7.738e-06, eta: 7:01:30, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1288, decode.acc_seg: 94.3821, aux.loss_ce: 0.0796, aux.acc_seg: 92.0100, loss: 0.2084 2024-03-05 10:17:00,779 - mmseg - INFO - Iter [124100/160000] lr: 7.727e-06, eta: 7:00:55, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1361, decode.acc_seg: 93.8689, aux.loss_ce: 0.0836, aux.acc_seg: 91.4530, loss: 0.2197 2024-03-05 10:17:35,367 - mmseg - INFO - Iter [124150/160000] lr: 7.716e-06, eta: 7:00:20, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1361, decode.acc_seg: 94.0023, aux.loss_ce: 0.0816, aux.acc_seg: 91.6934, loss: 0.2177 2024-03-05 10:18:09,810 - mmseg - INFO - Iter [124200/160000] lr: 7.706e-06, eta: 6:59:44, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1370, decode.acc_seg: 94.1265, aux.loss_ce: 0.0848, aux.acc_seg: 91.5305, loss: 0.2218 2024-03-05 10:18:44,345 - mmseg - INFO - Iter [124250/160000] lr: 7.695e-06, eta: 6:59:09, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1304, decode.acc_seg: 94.2960, aux.loss_ce: 0.0824, aux.acc_seg: 91.6151, loss: 0.2128 2024-03-05 10:19:18,704 - mmseg - INFO - Iter [124300/160000] lr: 7.684e-06, eta: 6:58:33, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1311, decode.acc_seg: 94.2444, aux.loss_ce: 0.0828, aux.acc_seg: 91.6288, loss: 0.2139 2024-03-05 10:19:53,212 - mmseg - INFO - Iter [124350/160000] lr: 7.673e-06, eta: 6:57:58, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1263, decode.acc_seg: 94.3943, aux.loss_ce: 0.0786, aux.acc_seg: 91.8881, loss: 0.2049 2024-03-05 10:20:27,459 - mmseg - INFO - Iter [124400/160000] lr: 7.663e-06, eta: 6:57:23, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1326, decode.acc_seg: 94.1179, aux.loss_ce: 0.0811, aux.acc_seg: 91.6045, loss: 0.2137 2024-03-05 10:21:02,041 - mmseg - INFO - Iter [124450/160000] lr: 7.652e-06, eta: 6:56:47, time: 0.692, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1333, decode.acc_seg: 94.1086, aux.loss_ce: 0.0843, aux.acc_seg: 91.5052, loss: 0.2177 2024-03-05 10:21:36,544 - mmseg - INFO - Iter [124500/160000] lr: 7.641e-06, eta: 6:56:12, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1292, decode.acc_seg: 94.2489, aux.loss_ce: 0.0799, aux.acc_seg: 91.7988, loss: 0.2091 2024-03-05 10:22:10,986 - mmseg - INFO - Iter [124550/160000] lr: 7.630e-06, eta: 6:55:36, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1268, decode.acc_seg: 94.3543, aux.loss_ce: 0.0795, aux.acc_seg: 91.8796, loss: 0.2063 2024-03-05 10:22:45,527 - mmseg - INFO - Iter [124600/160000] lr: 7.619e-06, eta: 6:55:01, time: 0.691, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1333, decode.acc_seg: 94.0469, aux.loss_ce: 0.0832, aux.acc_seg: 91.3403, loss: 0.2165 2024-03-05 10:23:19,845 - mmseg - INFO - Iter [124650/160000] lr: 7.609e-06, eta: 6:54:26, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1294, decode.acc_seg: 94.1235, aux.loss_ce: 0.0811, aux.acc_seg: 91.6657, loss: 0.2105 2024-03-05 10:23:54,247 - mmseg - INFO - Iter [124700/160000] lr: 7.598e-06, eta: 6:53:50, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1276, decode.acc_seg: 94.2977, aux.loss_ce: 0.0796, aux.acc_seg: 91.7519, loss: 0.2072 2024-03-05 10:24:28,744 - mmseg - INFO - Iter [124750/160000] lr: 7.587e-06, eta: 6:53:15, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1373, decode.acc_seg: 93.9269, aux.loss_ce: 0.0845, aux.acc_seg: 91.4174, loss: 0.2218 2024-03-05 10:25:03,047 - mmseg - INFO - Iter [124800/160000] lr: 7.576e-06, eta: 6:52:40, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1268, decode.acc_seg: 94.2753, aux.loss_ce: 0.0797, aux.acc_seg: 91.6737, loss: 0.2065 2024-03-05 10:25:37,429 - mmseg - INFO - Iter [124850/160000] lr: 7.566e-06, eta: 6:52:04, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1340, decode.acc_seg: 94.0541, aux.loss_ce: 0.0839, aux.acc_seg: 91.4523, loss: 0.2179 2024-03-05 10:26:12,027 - mmseg - INFO - Iter [124900/160000] lr: 7.555e-06, eta: 6:51:29, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1304, decode.acc_seg: 94.2182, aux.loss_ce: 0.0837, aux.acc_seg: 91.5259, loss: 0.2141 2024-03-05 10:26:46,397 - mmseg - INFO - Iter [124950/160000] lr: 7.544e-06, eta: 6:50:53, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1284, decode.acc_seg: 94.1158, aux.loss_ce: 0.0803, aux.acc_seg: 91.5993, loss: 0.2087 2024-03-05 10:27:20,930 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 10:27:20,930 - mmseg - INFO - Iter [125000/160000] lr: 7.533e-06, eta: 6:50:18, time: 0.691, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1207, decode.acc_seg: 94.5066, aux.loss_ce: 0.0756, aux.acc_seg: 91.9423, loss: 0.1963 2024-03-05 10:27:58,504 - mmseg - INFO - Iter [125050/160000] lr: 7.523e-06, eta: 6:49:44, time: 0.751, data_time: 0.067, memory: 9361, decode.loss_ce: 0.1383, decode.acc_seg: 93.9646, aux.loss_ce: 0.0886, aux.acc_seg: 91.1540, loss: 0.2269 2024-03-05 10:28:32,836 - mmseg - INFO - Iter [125100/160000] lr: 7.512e-06, eta: 6:49:08, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1347, decode.acc_seg: 94.0345, aux.loss_ce: 0.0827, aux.acc_seg: 91.5481, loss: 0.2174 2024-03-05 10:29:07,278 - mmseg - INFO - Iter [125150/160000] lr: 7.501e-06, eta: 6:48:33, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1383, decode.acc_seg: 93.8939, aux.loss_ce: 0.0858, aux.acc_seg: 91.3305, loss: 0.2241 2024-03-05 10:29:41,655 - mmseg - INFO - Iter [125200/160000] lr: 7.490e-06, eta: 6:47:57, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1304, decode.acc_seg: 94.2876, aux.loss_ce: 0.0795, aux.acc_seg: 91.9101, loss: 0.2099 2024-03-05 10:30:16,058 - mmseg - INFO - Iter [125250/160000] lr: 7.480e-06, eta: 6:47:22, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1224, decode.acc_seg: 94.6607, aux.loss_ce: 0.0805, aux.acc_seg: 91.9886, loss: 0.2029 2024-03-05 10:30:50,362 - mmseg - INFO - Iter [125300/160000] lr: 7.469e-06, eta: 6:46:47, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1320, decode.acc_seg: 94.1285, aux.loss_ce: 0.0823, aux.acc_seg: 91.6339, loss: 0.2143 2024-03-05 10:31:24,769 - mmseg - INFO - Iter [125350/160000] lr: 7.458e-06, eta: 6:46:11, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1310, decode.acc_seg: 94.1061, aux.loss_ce: 0.0795, aux.acc_seg: 91.6587, loss: 0.2105 2024-03-05 10:31:59,200 - mmseg - INFO - Iter [125400/160000] lr: 7.447e-06, eta: 6:45:36, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1392, decode.acc_seg: 94.2593, aux.loss_ce: 0.0814, aux.acc_seg: 92.1335, loss: 0.2206 2024-03-05 10:32:33,674 - mmseg - INFO - Iter [125450/160000] lr: 7.437e-06, eta: 6:45:01, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1240, decode.acc_seg: 94.5096, aux.loss_ce: 0.0759, aux.acc_seg: 92.2020, loss: 0.1999 2024-03-05 10:33:07,930 - mmseg - INFO - Iter [125500/160000] lr: 7.426e-06, eta: 6:44:25, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1325, decode.acc_seg: 94.0430, aux.loss_ce: 0.0828, aux.acc_seg: 91.3292, loss: 0.2153 2024-03-05 10:33:42,671 - mmseg - INFO - Iter [125550/160000] lr: 7.415e-06, eta: 6:43:50, time: 0.695, data_time: 0.018, memory: 9361, decode.loss_ce: 0.1302, decode.acc_seg: 94.2865, aux.loss_ce: 0.0842, aux.acc_seg: 91.4727, loss: 0.2144 2024-03-05 10:34:17,148 - mmseg - INFO - Iter [125600/160000] lr: 7.404e-06, eta: 6:43:14, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1390, decode.acc_seg: 93.9266, aux.loss_ce: 0.0843, aux.acc_seg: 91.6156, loss: 0.2233 2024-03-05 10:34:51,818 - mmseg - INFO - Iter [125650/160000] lr: 7.393e-06, eta: 6:42:39, time: 0.693, data_time: 0.018, memory: 9361, decode.loss_ce: 0.1338, decode.acc_seg: 94.0929, aux.loss_ce: 0.0845, aux.acc_seg: 91.5737, loss: 0.2183 2024-03-05 10:35:26,723 - mmseg - INFO - Iter [125700/160000] lr: 7.383e-06, eta: 6:42:04, time: 0.698, data_time: 0.016, memory: 9361, decode.loss_ce: 0.1318, decode.acc_seg: 94.2063, aux.loss_ce: 0.0839, aux.acc_seg: 91.6190, loss: 0.2156 2024-03-05 10:36:01,371 - mmseg - INFO - Iter [125750/160000] lr: 7.372e-06, eta: 6:41:29, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1250, decode.acc_seg: 94.3724, aux.loss_ce: 0.0799, aux.acc_seg: 91.7701, loss: 0.2049 2024-03-05 10:36:35,842 - mmseg - INFO - Iter [125800/160000] lr: 7.361e-06, eta: 6:40:53, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1265, decode.acc_seg: 94.3178, aux.loss_ce: 0.0787, aux.acc_seg: 91.8069, loss: 0.2052 2024-03-05 10:37:10,670 - mmseg - INFO - Iter [125850/160000] lr: 7.350e-06, eta: 6:40:18, time: 0.697, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1359, decode.acc_seg: 93.8780, aux.loss_ce: 0.0853, aux.acc_seg: 91.2100, loss: 0.2212 2024-03-05 10:37:45,474 - mmseg - INFO - Iter [125900/160000] lr: 7.340e-06, eta: 6:39:43, time: 0.696, data_time: 0.015, memory: 9361, decode.loss_ce: 0.1360, decode.acc_seg: 93.9853, aux.loss_ce: 0.0847, aux.acc_seg: 91.2028, loss: 0.2207 2024-03-05 10:38:20,162 - mmseg - INFO - Iter [125950/160000] lr: 7.329e-06, eta: 6:39:07, time: 0.694, data_time: 0.016, memory: 9361, decode.loss_ce: 0.1243, decode.acc_seg: 94.5129, aux.loss_ce: 0.0777, aux.acc_seg: 91.9869, loss: 0.2020 2024-03-05 10:38:54,603 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 10:38:54,604 - mmseg - INFO - Iter [126000/160000] lr: 7.318e-06, eta: 6:38:32, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1401, decode.acc_seg: 93.9157, aux.loss_ce: 0.0837, aux.acc_seg: 91.4443, loss: 0.2239 2024-03-05 10:39:29,285 - mmseg - INFO - Iter [126050/160000] lr: 7.307e-06, eta: 6:37:57, time: 0.694, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1282, decode.acc_seg: 94.3046, aux.loss_ce: 0.0805, aux.acc_seg: 91.7139, loss: 0.2087 2024-03-05 10:40:03,955 - mmseg - INFO - Iter [126100/160000] lr: 7.297e-06, eta: 6:37:21, time: 0.693, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1225, decode.acc_seg: 94.5170, aux.loss_ce: 0.0758, aux.acc_seg: 92.1392, loss: 0.1983 2024-03-05 10:40:38,541 - mmseg - INFO - Iter [126150/160000] lr: 7.286e-06, eta: 6:36:46, time: 0.692, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1355, decode.acc_seg: 94.0503, aux.loss_ce: 0.0845, aux.acc_seg: 91.2618, loss: 0.2201 2024-03-05 10:41:13,214 - mmseg - INFO - Iter [126200/160000] lr: 7.275e-06, eta: 6:36:11, time: 0.693, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1273, decode.acc_seg: 94.3258, aux.loss_ce: 0.0784, aux.acc_seg: 91.8840, loss: 0.2056 2024-03-05 10:41:47,888 - mmseg - INFO - Iter [126250/160000] lr: 7.264e-06, eta: 6:35:36, time: 0.693, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1338, decode.acc_seg: 94.0284, aux.loss_ce: 0.0819, aux.acc_seg: 91.5416, loss: 0.2158 2024-03-05 10:42:22,378 - mmseg - INFO - Iter [126300/160000] lr: 7.254e-06, eta: 6:35:00, time: 0.690, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1398, decode.acc_seg: 93.8575, aux.loss_ce: 0.0873, aux.acc_seg: 91.1378, loss: 0.2271 2024-03-05 10:42:59,987 - mmseg - INFO - Iter [126350/160000] lr: 7.243e-06, eta: 6:34:26, time: 0.752, data_time: 0.067, memory: 9361, decode.loss_ce: 0.1329, decode.acc_seg: 94.0296, aux.loss_ce: 0.0835, aux.acc_seg: 91.4235, loss: 0.2164 2024-03-05 10:43:34,409 - mmseg - INFO - Iter [126400/160000] lr: 7.232e-06, eta: 6:33:50, time: 0.688, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1226, decode.acc_seg: 94.5110, aux.loss_ce: 0.0762, aux.acc_seg: 91.9950, loss: 0.1988 2024-03-05 10:44:08,775 - mmseg - INFO - Iter [126450/160000] lr: 7.221e-06, eta: 6:33:15, time: 0.687, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1245, decode.acc_seg: 94.5355, aux.loss_ce: 0.0820, aux.acc_seg: 91.6484, loss: 0.2065 2024-03-05 10:44:43,262 - mmseg - INFO - Iter [126500/160000] lr: 7.211e-06, eta: 6:32:40, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1296, decode.acc_seg: 94.3700, aux.loss_ce: 0.0812, aux.acc_seg: 91.7938, loss: 0.2108 2024-03-05 10:45:17,842 - mmseg - INFO - Iter [126550/160000] lr: 7.200e-06, eta: 6:32:04, time: 0.692, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1308, decode.acc_seg: 94.1644, aux.loss_ce: 0.0812, aux.acc_seg: 91.6780, loss: 0.2120 2024-03-05 10:45:52,431 - mmseg - INFO - Iter [126600/160000] lr: 7.189e-06, eta: 6:31:29, time: 0.692, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1280, decode.acc_seg: 94.4851, aux.loss_ce: 0.0799, aux.acc_seg: 91.9705, loss: 0.2079 2024-03-05 10:46:27,045 - mmseg - INFO - Iter [126650/160000] lr: 7.178e-06, eta: 6:30:54, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1319, decode.acc_seg: 94.1510, aux.loss_ce: 0.0834, aux.acc_seg: 91.4594, loss: 0.2153 2024-03-05 10:47:01,447 - mmseg - INFO - Iter [126700/160000] lr: 7.167e-06, eta: 6:30:18, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1304, decode.acc_seg: 94.1902, aux.loss_ce: 0.0804, aux.acc_seg: 91.7585, loss: 0.2108 2024-03-05 10:47:35,982 - mmseg - INFO - Iter [126750/160000] lr: 7.157e-06, eta: 6:29:43, time: 0.691, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1419, decode.acc_seg: 93.8379, aux.loss_ce: 0.0837, aux.acc_seg: 91.4045, loss: 0.2256 2024-03-05 10:48:10,220 - mmseg - INFO - Iter [126800/160000] lr: 7.146e-06, eta: 6:29:08, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1333, decode.acc_seg: 94.1150, aux.loss_ce: 0.0837, aux.acc_seg: 91.4164, loss: 0.2169 2024-03-05 10:48:44,576 - mmseg - INFO - Iter [126850/160000] lr: 7.135e-06, eta: 6:28:32, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1303, decode.acc_seg: 94.1093, aux.loss_ce: 0.0794, aux.acc_seg: 91.7112, loss: 0.2098 2024-03-05 10:49:19,054 - mmseg - INFO - Iter [126900/160000] lr: 7.124e-06, eta: 6:27:57, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1339, decode.acc_seg: 94.0791, aux.loss_ce: 0.0850, aux.acc_seg: 91.3665, loss: 0.2188 2024-03-05 10:49:53,164 - mmseg - INFO - Iter [126950/160000] lr: 7.114e-06, eta: 6:27:21, time: 0.682, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1388, decode.acc_seg: 93.8833, aux.loss_ce: 0.0834, aux.acc_seg: 91.4759, loss: 0.2223 2024-03-05 10:50:27,647 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 10:50:27,648 - mmseg - INFO - Iter [127000/160000] lr: 7.103e-06, eta: 6:26:46, time: 0.690, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1326, decode.acc_seg: 94.1664, aux.loss_ce: 0.0812, aux.acc_seg: 91.7159, loss: 0.2137 2024-03-05 10:51:01,979 - mmseg - INFO - Iter [127050/160000] lr: 7.092e-06, eta: 6:26:11, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1356, decode.acc_seg: 93.9868, aux.loss_ce: 0.0861, aux.acc_seg: 91.3151, loss: 0.2217 2024-03-05 10:51:36,255 - mmseg - INFO - Iter [127100/160000] lr: 7.081e-06, eta: 6:25:35, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1335, decode.acc_seg: 94.1500, aux.loss_ce: 0.0832, aux.acc_seg: 91.5163, loss: 0.2167 2024-03-05 10:52:10,561 - mmseg - INFO - Iter [127150/160000] lr: 7.071e-06, eta: 6:25:00, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1276, decode.acc_seg: 94.3467, aux.loss_ce: 0.0804, aux.acc_seg: 91.7599, loss: 0.2080 2024-03-05 10:52:45,034 - mmseg - INFO - Iter [127200/160000] lr: 7.060e-06, eta: 6:24:25, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1244, decode.acc_seg: 94.4687, aux.loss_ce: 0.0764, aux.acc_seg: 92.0259, loss: 0.2008 2024-03-05 10:53:19,528 - mmseg - INFO - Iter [127250/160000] lr: 7.049e-06, eta: 6:23:49, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1395, decode.acc_seg: 94.0873, aux.loss_ce: 0.0863, aux.acc_seg: 91.5364, loss: 0.2258 2024-03-05 10:53:54,044 - mmseg - INFO - Iter [127300/160000] lr: 7.038e-06, eta: 6:23:14, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1330, decode.acc_seg: 94.1185, aux.loss_ce: 0.0837, aux.acc_seg: 91.4524, loss: 0.2166 2024-03-05 10:54:28,437 - mmseg - INFO - Iter [127350/160000] lr: 7.028e-06, eta: 6:22:39, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1240, decode.acc_seg: 94.4243, aux.loss_ce: 0.0805, aux.acc_seg: 91.6939, loss: 0.2045 2024-03-05 10:55:02,819 - mmseg - INFO - Iter [127400/160000] lr: 7.017e-06, eta: 6:22:03, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1302, decode.acc_seg: 94.3018, aux.loss_ce: 0.0827, aux.acc_seg: 91.4897, loss: 0.2129 2024-03-05 10:55:37,037 - mmseg - INFO - Iter [127450/160000] lr: 7.006e-06, eta: 6:21:28, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1346, decode.acc_seg: 94.1424, aux.loss_ce: 0.0816, aux.acc_seg: 91.6988, loss: 0.2162 2024-03-05 10:56:11,255 - mmseg - INFO - Iter [127500/160000] lr: 6.995e-06, eta: 6:20:52, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1291, decode.acc_seg: 94.3216, aux.loss_ce: 0.0800, aux.acc_seg: 91.8620, loss: 0.2091 2024-03-05 10:56:45,558 - mmseg - INFO - Iter [127550/160000] lr: 6.985e-06, eta: 6:20:17, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1271, decode.acc_seg: 94.4060, aux.loss_ce: 0.0829, aux.acc_seg: 91.6944, loss: 0.2100 2024-03-05 10:57:23,081 - mmseg - INFO - Iter [127600/160000] lr: 6.974e-06, eta: 6:19:43, time: 0.750, data_time: 0.057, memory: 9361, decode.loss_ce: 0.1275, decode.acc_seg: 94.4238, aux.loss_ce: 0.0778, aux.acc_seg: 92.1399, loss: 0.2053 2024-03-05 10:57:57,628 - mmseg - INFO - Iter [127650/160000] lr: 6.963e-06, eta: 6:19:07, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1268, decode.acc_seg: 94.4599, aux.loss_ce: 0.0791, aux.acc_seg: 91.9231, loss: 0.2059 2024-03-05 10:58:32,097 - mmseg - INFO - Iter [127700/160000] lr: 6.952e-06, eta: 6:18:32, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1297, decode.acc_seg: 94.2530, aux.loss_ce: 0.0793, aux.acc_seg: 91.8646, loss: 0.2090 2024-03-05 10:59:06,420 - mmseg - INFO - Iter [127750/160000] lr: 6.941e-06, eta: 6:17:56, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1288, decode.acc_seg: 94.3776, aux.loss_ce: 0.0809, aux.acc_seg: 91.8122, loss: 0.2097 2024-03-05 10:59:40,725 - mmseg - INFO - Iter [127800/160000] lr: 6.931e-06, eta: 6:17:21, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1197, decode.acc_seg: 94.7785, aux.loss_ce: 0.0748, aux.acc_seg: 92.4938, loss: 0.1945 2024-03-05 11:00:15,088 - mmseg - INFO - Iter [127850/160000] lr: 6.920e-06, eta: 6:16:46, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1415, decode.acc_seg: 93.9471, aux.loss_ce: 0.0856, aux.acc_seg: 91.3061, loss: 0.2271 2024-03-05 11:00:49,481 - mmseg - INFO - Iter [127900/160000] lr: 6.909e-06, eta: 6:16:10, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1304, decode.acc_seg: 94.3001, aux.loss_ce: 0.0807, aux.acc_seg: 91.7966, loss: 0.2111 2024-03-05 11:01:23,842 - mmseg - INFO - Iter [127950/160000] lr: 6.898e-06, eta: 6:15:35, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1308, decode.acc_seg: 94.2393, aux.loss_ce: 0.0809, aux.acc_seg: 91.8230, loss: 0.2117 2024-03-05 11:01:58,215 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 11:01:58,216 - mmseg - INFO - Iter [128000/160000] lr: 6.888e-06, eta: 6:15:00, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1199, decode.acc_seg: 94.5797, aux.loss_ce: 0.0756, aux.acc_seg: 92.0716, loss: 0.1956 2024-03-05 11:05:07,888 - mmseg - INFO - per class results: 2024-03-05 11:05:07,897 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.85 | 89.11 | | building | 82.38 | 91.64 | | sky | 94.42 | 97.72 | | floor | 80.95 | 91.47 | | tree | 74.14 | 86.89 | | ceiling | 83.04 | 92.2 | | road | 84.0 | 90.97 | | bed | 89.43 | 95.83 | | windowpane | 63.09 | 79.26 | | grass | 65.5 | 82.59 | | cabinet | 60.18 | 71.91 | | sidewalk | 65.0 | 81.69 | | person | 80.78 | 93.47 | | earth | 35.95 | 48.0 | | door | 49.09 | 61.56 | | table | 63.44 | 77.81 | | mountain | 60.02 | 73.78 | | plant | 51.15 | 62.45 | | curtain | 74.2 | 85.73 | | chair | 58.75 | 72.44 | | car | 85.2 | 92.85 | | water | 49.71 | 64.06 | | painting | 73.63 | 86.65 | | sofa | 70.28 | 84.96 | | shelf | 43.49 | 61.04 | | house | 46.95 | 62.98 | | sea | 54.7 | 82.38 | | mirror | 64.54 | 72.64 | | rug | 51.69 | 61.3 | | field | 26.8 | 46.08 | | armchair | 45.08 | 62.33 | | seat | 62.15 | 81.31 | | fence | 46.08 | 59.61 | | desk | 54.1 | 75.63 | | rock | 41.4 | 67.28 | | wardrobe | 46.15 | 66.95 | | lamp | 67.25 | 78.04 | | bathtub | 75.26 | 82.68 | | railing | 31.65 | 41.43 | | cushion | 57.68 | 70.8 | | base | 29.84 | 42.46 | | box | 29.06 | 35.62 | | column | 44.73 | 56.62 | | signboard | 37.3 | 52.53 | | chest of drawers | 44.89 | 63.76 | | counter | 29.99 | 36.89 | | sand | 43.69 | 60.23 | | sink | 70.85 | 81.09 | | skyscraper | 59.08 | 76.67 | | fireplace | 71.49 | 85.73 | | refrigerator | 75.32 | 83.36 | | grandstand | 43.77 | 69.74 | | path | 10.48 | 14.08 | | stairs | 29.76 | 38.65 | | runway | 68.48 | 92.07 | | case | 48.12 | 58.04 | | pool table | 92.1 | 96.65 | | pillow | 56.02 | 65.97 | | screen door | 74.29 | 80.19 | | stairway | 30.31 | 37.55 | | river | 11.73 | 20.4 | | bridge | 55.86 | 61.96 | | bookcase | 37.21 | 57.42 | | blind | 44.87 | 49.37 | | coffee table | 63.32 | 78.94 | | toilet | 86.94 | 91.64 | | flower | 41.15 | 57.26 | | book | 48.3 | 66.34 | | hill | 6.45 | 9.7 | | bench | 44.38 | 56.06 | | countertop | 52.54 | 66.55 | | stove | 76.78 | 82.69 | | palm | 49.29 | 74.19 | | kitchen island | 49.51 | 75.24 | | computer | 67.16 | 75.78 | | swivel chair | 40.41 | 54.35 | | boat | 52.35 | 65.5 | | bar | 32.67 | 44.91 | | arcade machine | 38.89 | 41.18 | | hovel | 37.28 | 40.94 | | bus | 83.75 | 96.49 | | towel | 64.01 | 74.63 | | light | 56.52 | 66.61 | | truck | 36.59 | 45.68 | | tower | 39.57 | 59.11 | | chandelier | 66.62 | 84.35 | | awning | 21.84 | 27.86 | | streetlight | 29.52 | 38.23 | | booth | 53.41 | 61.86 | | television receiver | 64.93 | 83.61 | | airplane | 47.19 | 64.65 | | dirt track | 12.13 | 22.56 | | apparel | 38.79 | 55.25 | | pole | 25.63 | 36.7 | | land | 3.82 | 4.99 | | bannister | 14.87 | 19.88 | | escalator | 34.2 | 43.86 | | ottoman | 47.63 | 63.69 | | bottle | 37.17 | 58.03 | | buffet | 34.67 | 39.57 | | poster | 33.03 | 39.92 | | stage | 21.86 | 28.09 | | van | 46.54 | 62.06 | | ship | 57.91 | 97.67 | | fountain | 18.49 | 18.74 | | conveyer belt | 55.71 | 91.02 | | canopy | 20.79 | 25.85 | | washer | 68.34 | 68.99 | | plaything | 24.48 | 31.75 | | swimming pool | 37.53 | 57.13 | | stool | 36.69 | 55.39 | | barrel | 62.33 | 75.03 | | basket | 33.04 | 40.05 | | waterfall | 57.98 | 71.12 | | tent | 95.12 | 98.59 | | bag | 15.87 | 18.82 | | minibike | 68.88 | 85.11 | | cradle | 67.92 | 82.61 | | oven | 40.56 | 74.57 | | ball | 48.0 | 59.5 | | food | 50.78 | 62.86 | | step | 15.68 | 18.07 | | tank | 46.53 | 49.17 | | trade name | 26.92 | 31.44 | | microwave | 39.96 | 42.69 | | pot | 42.53 | 49.86 | | animal | 59.29 | 61.44 | | bicycle | 53.57 | 76.32 | | lake | 46.63 | 62.92 | | dishwasher | 71.83 | 76.22 | | screen | 55.75 | 69.89 | | blanket | 16.48 | 18.59 | | sculpture | 61.3 | 75.29 | | hood | 56.4 | 68.44 | | sconce | 47.54 | 58.57 | | vase | 38.1 | 57.17 | | traffic light | 34.0 | 49.48 | | tray | 11.47 | 27.72 | | ashcan | 46.86 | 60.07 | | fan | 64.06 | 79.03 | | pier | 41.89 | 66.62 | | crt screen | 3.03 | 6.81 | | plate | 52.54 | 70.4 | | monitor | 19.19 | 26.76 | | bulletin board | 51.39 | 59.92 | | shower | 10.12 | 11.15 | | radiator | 58.68 | 67.04 | | glass | 16.35 | 19.1 | | clock | 39.28 | 46.59 | | flag | 29.34 | 31.49 | +---------------------+-------+-------+ 2024-03-05 11:05:07,897 - mmseg - INFO - Summary: 2024-03-05 11:05:07,897 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.05 | 48.97 | 61.04 | +-------+-------+-------+ 2024-03-05 11:05:07,908 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 11:05:07,908 - mmseg - INFO - Iter(val) [500] aAcc: 0.8305, mIoU: 0.4897, mAcc: 0.6104, IoU.wall: 0.7785, IoU.building: 0.8238, IoU.sky: 0.9442, IoU.floor: 0.8095, IoU.tree: 0.7414, IoU.ceiling: 0.8304, IoU.road: 0.8400, IoU.bed : 0.8943, IoU.windowpane: 0.6309, IoU.grass: 0.6550, IoU.cabinet: 0.6018, IoU.sidewalk: 0.6500, IoU.person: 0.8078, IoU.earth: 0.3595, IoU.door: 0.4909, IoU.table: 0.6344, IoU.mountain: 0.6002, IoU.plant: 0.5115, IoU.curtain: 0.7420, IoU.chair: 0.5875, IoU.car: 0.8520, IoU.water: 0.4971, IoU.painting: 0.7363, IoU.sofa: 0.7028, IoU.shelf: 0.4349, IoU.house: 0.4695, IoU.sea: 0.5470, IoU.mirror: 0.6454, IoU.rug: 0.5169, IoU.field: 0.2680, IoU.armchair: 0.4508, IoU.seat: 0.6215, IoU.fence: 0.4608, IoU.desk: 0.5410, IoU.rock: 0.4140, IoU.wardrobe: 0.4615, IoU.lamp: 0.6725, IoU.bathtub: 0.7526, IoU.railing: 0.3165, IoU.cushion: 0.5768, IoU.base: 0.2984, IoU.box: 0.2906, IoU.column: 0.4473, IoU.signboard: 0.3730, IoU.chest of drawers: 0.4489, IoU.counter: 0.2999, IoU.sand: 0.4369, IoU.sink: 0.7085, IoU.skyscraper: 0.5908, IoU.fireplace: 0.7149, IoU.refrigerator: 0.7532, IoU.grandstand: 0.4377, IoU.path: 0.1048, IoU.stairs: 0.2976, IoU.runway: 0.6848, IoU.case: 0.4812, IoU.pool table: 0.9210, IoU.pillow: 0.5602, IoU.screen door: 0.7429, IoU.stairway: 0.3031, IoU.river: 0.1173, IoU.bridge: 0.5586, IoU.bookcase: 0.3721, IoU.blind: 0.4487, IoU.coffee table: 0.6332, IoU.toilet: 0.8694, IoU.flower: 0.4115, IoU.book: 0.4830, IoU.hill: 0.0645, IoU.bench: 0.4438, IoU.countertop: 0.5254, IoU.stove: 0.7678, IoU.palm: 0.4929, IoU.kitchen island: 0.4951, IoU.computer: 0.6716, IoU.swivel chair: 0.4041, IoU.boat: 0.5235, IoU.bar: 0.3267, IoU.arcade machine: 0.3889, IoU.hovel: 0.3728, IoU.bus: 0.8375, IoU.towel: 0.6401, IoU.light: 0.5652, IoU.truck: 0.3659, IoU.tower: 0.3957, IoU.chandelier: 0.6662, IoU.awning: 0.2184, IoU.streetlight: 0.2952, IoU.booth: 0.5341, IoU.television receiver: 0.6493, IoU.airplane: 0.4719, IoU.dirt track: 0.1213, IoU.apparel: 0.3879, IoU.pole: 0.2563, IoU.land: 0.0382, IoU.bannister: 0.1487, IoU.escalator: 0.3420, IoU.ottoman: 0.4763, IoU.bottle: 0.3717, IoU.buffet: 0.3467, IoU.poster: 0.3303, IoU.stage: 0.2186, IoU.van: 0.4654, IoU.ship: 0.5791, IoU.fountain: 0.1849, IoU.conveyer belt: 0.5571, IoU.canopy: 0.2079, IoU.washer: 0.6834, IoU.plaything: 0.2448, IoU.swimming pool: 0.3753, IoU.stool: 0.3669, IoU.barrel: 0.6233, IoU.basket: 0.3304, IoU.waterfall: 0.5798, IoU.tent: 0.9512, IoU.bag: 0.1587, IoU.minibike: 0.6888, IoU.cradle: 0.6792, IoU.oven: 0.4056, IoU.ball: 0.4800, IoU.food: 0.5078, IoU.step: 0.1568, IoU.tank: 0.4653, IoU.trade name: 0.2692, IoU.microwave: 0.3996, IoU.pot: 0.4253, IoU.animal: 0.5929, IoU.bicycle: 0.5357, IoU.lake: 0.4663, IoU.dishwasher: 0.7183, IoU.screen: 0.5575, IoU.blanket: 0.1648, IoU.sculpture: 0.6130, IoU.hood: 0.5640, IoU.sconce: 0.4754, IoU.vase: 0.3810, IoU.traffic light: 0.3400, IoU.tray: 0.1147, IoU.ashcan: 0.4686, IoU.fan: 0.6406, IoU.pier: 0.4189, IoU.crt screen: 0.0303, IoU.plate: 0.5254, IoU.monitor: 0.1919, IoU.bulletin board: 0.5139, IoU.shower: 0.1012, IoU.radiator: 0.5868, IoU.glass: 0.1635, IoU.clock: 0.3928, IoU.flag: 0.2934, Acc.wall: 0.8911, Acc.building: 0.9164, Acc.sky: 0.9772, Acc.floor: 0.9147, Acc.tree: 0.8689, Acc.ceiling: 0.9220, Acc.road: 0.9097, Acc.bed : 0.9583, Acc.windowpane: 0.7926, Acc.grass: 0.8259, Acc.cabinet: 0.7191, Acc.sidewalk: 0.8169, Acc.person: 0.9347, Acc.earth: 0.4800, Acc.door: 0.6156, Acc.table: 0.7781, Acc.mountain: 0.7378, Acc.plant: 0.6245, Acc.curtain: 0.8573, Acc.chair: 0.7244, Acc.car: 0.9285, Acc.water: 0.6406, Acc.painting: 0.8665, Acc.sofa: 0.8496, Acc.shelf: 0.6104, Acc.house: 0.6298, Acc.sea: 0.8238, Acc.mirror: 0.7264, Acc.rug: 0.6130, Acc.field: 0.4608, Acc.armchair: 0.6233, Acc.seat: 0.8131, Acc.fence: 0.5961, Acc.desk: 0.7563, Acc.rock: 0.6728, Acc.wardrobe: 0.6695, Acc.lamp: 0.7804, Acc.bathtub: 0.8268, Acc.railing: 0.4143, Acc.cushion: 0.7080, Acc.base: 0.4246, Acc.box: 0.3562, Acc.column: 0.5662, Acc.signboard: 0.5253, Acc.chest of drawers: 0.6376, Acc.counter: 0.3689, Acc.sand: 0.6023, Acc.sink: 0.8109, Acc.skyscraper: 0.7667, Acc.fireplace: 0.8573, Acc.refrigerator: 0.8336, Acc.grandstand: 0.6974, Acc.path: 0.1408, Acc.stairs: 0.3865, Acc.runway: 0.9207, Acc.case: 0.5804, Acc.pool table: 0.9665, Acc.pillow: 0.6597, Acc.screen door: 0.8019, Acc.stairway: 0.3755, Acc.river: 0.2040, Acc.bridge: 0.6196, Acc.bookcase: 0.5742, Acc.blind: 0.4937, Acc.coffee table: 0.7894, Acc.toilet: 0.9164, Acc.flower: 0.5726, Acc.book: 0.6634, Acc.hill: 0.0970, Acc.bench: 0.5606, Acc.countertop: 0.6655, Acc.stove: 0.8269, Acc.palm: 0.7419, Acc.kitchen island: 0.7524, Acc.computer: 0.7578, Acc.swivel chair: 0.5435, Acc.boat: 0.6550, Acc.bar: 0.4491, Acc.arcade machine: 0.4118, Acc.hovel: 0.4094, Acc.bus: 0.9649, Acc.towel: 0.7463, Acc.light: 0.6661, Acc.truck: 0.4568, Acc.tower: 0.5911, Acc.chandelier: 0.8435, Acc.awning: 0.2786, Acc.streetlight: 0.3823, Acc.booth: 0.6186, Acc.television receiver: 0.8361, Acc.airplane: 0.6465, Acc.dirt track: 0.2256, Acc.apparel: 0.5525, Acc.pole: 0.3670, Acc.land: 0.0499, Acc.bannister: 0.1988, Acc.escalator: 0.4386, Acc.ottoman: 0.6369, Acc.bottle: 0.5803, Acc.buffet: 0.3957, Acc.poster: 0.3992, Acc.stage: 0.2809, Acc.van: 0.6206, Acc.ship: 0.9767, Acc.fountain: 0.1874, Acc.conveyer belt: 0.9102, Acc.canopy: 0.2585, Acc.washer: 0.6899, Acc.plaything: 0.3175, Acc.swimming pool: 0.5713, Acc.stool: 0.5539, Acc.barrel: 0.7503, Acc.basket: 0.4005, Acc.waterfall: 0.7112, Acc.tent: 0.9859, Acc.bag: 0.1882, Acc.minibike: 0.8511, Acc.cradle: 0.8261, Acc.oven: 0.7457, Acc.ball: 0.5950, Acc.food: 0.6286, Acc.step: 0.1807, Acc.tank: 0.4917, Acc.trade name: 0.3144, Acc.microwave: 0.4269, Acc.pot: 0.4986, Acc.animal: 0.6144, Acc.bicycle: 0.7632, Acc.lake: 0.6292, Acc.dishwasher: 0.7622, Acc.screen: 0.6989, Acc.blanket: 0.1859, Acc.sculpture: 0.7529, Acc.hood: 0.6844, Acc.sconce: 0.5857, Acc.vase: 0.5717, Acc.traffic light: 0.4948, Acc.tray: 0.2772, Acc.ashcan: 0.6007, Acc.fan: 0.7903, Acc.pier: 0.6662, Acc.crt screen: 0.0681, Acc.plate: 0.7040, Acc.monitor: 0.2676, Acc.bulletin board: 0.5992, Acc.shower: 0.1115, Acc.radiator: 0.6704, Acc.glass: 0.1910, Acc.clock: 0.4659, Acc.flag: 0.3149 2024-03-05 11:05:42,302 - mmseg - INFO - Iter [128050/160000] lr: 6.877e-06, eta: 6:15:12, time: 4.482, data_time: 3.802, memory: 9361, decode.loss_ce: 0.1305, decode.acc_seg: 94.2882, aux.loss_ce: 0.0817, aux.acc_seg: 91.7935, loss: 0.2122 2024-03-05 11:06:16,575 - mmseg - INFO - Iter [128100/160000] lr: 6.866e-06, eta: 6:14:36, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1257, decode.acc_seg: 94.5339, aux.loss_ce: 0.0785, aux.acc_seg: 92.0013, loss: 0.2042 2024-03-05 11:06:51,032 - mmseg - INFO - Iter [128150/160000] lr: 6.855e-06, eta: 6:14:01, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1373, decode.acc_seg: 93.9436, aux.loss_ce: 0.0871, aux.acc_seg: 91.1467, loss: 0.2244 2024-03-05 11:07:25,391 - mmseg - INFO - Iter [128200/160000] lr: 6.845e-06, eta: 6:13:25, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1384, decode.acc_seg: 93.9020, aux.loss_ce: 0.0874, aux.acc_seg: 91.1591, loss: 0.2258 2024-03-05 11:07:59,707 - mmseg - INFO - Iter [128250/160000] lr: 6.834e-06, eta: 6:12:50, time: 0.686, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1234, decode.acc_seg: 94.4515, aux.loss_ce: 0.0768, aux.acc_seg: 92.0333, loss: 0.2001 2024-03-05 11:08:33,905 - mmseg - INFO - Iter [128300/160000] lr: 6.823e-06, eta: 6:12:14, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1298, decode.acc_seg: 94.1958, aux.loss_ce: 0.0811, aux.acc_seg: 91.6524, loss: 0.2109 2024-03-05 11:09:08,237 - mmseg - INFO - Iter [128350/160000] lr: 6.812e-06, eta: 6:11:39, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1293, decode.acc_seg: 94.4074, aux.loss_ce: 0.0844, aux.acc_seg: 91.6003, loss: 0.2137 2024-03-05 11:09:42,622 - mmseg - INFO - Iter [128400/160000] lr: 6.802e-06, eta: 6:11:04, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1286, decode.acc_seg: 94.1584, aux.loss_ce: 0.0813, aux.acc_seg: 91.6014, loss: 0.2099 2024-03-05 11:10:17,004 - mmseg - INFO - Iter [128450/160000] lr: 6.791e-06, eta: 6:10:28, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1297, decode.acc_seg: 94.2466, aux.loss_ce: 0.0786, aux.acc_seg: 91.9676, loss: 0.2083 2024-03-05 11:10:51,375 - mmseg - INFO - Iter [128500/160000] lr: 6.780e-06, eta: 6:09:53, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1305, decode.acc_seg: 94.2705, aux.loss_ce: 0.0828, aux.acc_seg: 91.6503, loss: 0.2133 2024-03-05 11:11:25,852 - mmseg - INFO - Iter [128550/160000] lr: 6.769e-06, eta: 6:09:17, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1289, decode.acc_seg: 94.3585, aux.loss_ce: 0.0793, aux.acc_seg: 91.9316, loss: 0.2082 2024-03-05 11:12:00,193 - mmseg - INFO - Iter [128600/160000] lr: 6.759e-06, eta: 6:08:42, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1413, decode.acc_seg: 93.8186, aux.loss_ce: 0.0873, aux.acc_seg: 91.0812, loss: 0.2286 2024-03-05 11:12:34,537 - mmseg - INFO - Iter [128650/160000] lr: 6.748e-06, eta: 6:08:06, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1269, decode.acc_seg: 94.2314, aux.loss_ce: 0.0820, aux.acc_seg: 91.4027, loss: 0.2089 2024-03-05 11:13:08,966 - mmseg - INFO - Iter [128700/160000] lr: 6.737e-06, eta: 6:07:31, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1333, decode.acc_seg: 94.2005, aux.loss_ce: 0.0870, aux.acc_seg: 91.2958, loss: 0.2204 2024-03-05 11:13:43,438 - mmseg - INFO - Iter [128750/160000] lr: 6.726e-06, eta: 6:06:56, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1313, decode.acc_seg: 94.1450, aux.loss_ce: 0.0804, aux.acc_seg: 91.7765, loss: 0.2117 2024-03-05 11:14:17,858 - mmseg - INFO - Iter [128800/160000] lr: 6.716e-06, eta: 6:06:20, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1314, decode.acc_seg: 94.1900, aux.loss_ce: 0.0809, aux.acc_seg: 91.7506, loss: 0.2123 2024-03-05 11:14:55,262 - mmseg - INFO - Iter [128850/160000] lr: 6.705e-06, eta: 6:05:45, time: 0.748, data_time: 0.067, memory: 9361, decode.loss_ce: 0.1405, decode.acc_seg: 93.8153, aux.loss_ce: 0.0861, aux.acc_seg: 91.1900, loss: 0.2266 2024-03-05 11:15:29,723 - mmseg - INFO - Iter [128900/160000] lr: 6.694e-06, eta: 6:05:10, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1243, decode.acc_seg: 94.4723, aux.loss_ce: 0.0772, aux.acc_seg: 91.9076, loss: 0.2015 2024-03-05 11:16:04,195 - mmseg - INFO - Iter [128950/160000] lr: 6.683e-06, eta: 6:04:35, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1311, decode.acc_seg: 94.1553, aux.loss_ce: 0.0815, aux.acc_seg: 91.6795, loss: 0.2126 2024-03-05 11:16:38,586 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 11:16:38,587 - mmseg - INFO - Iter [129000/160000] lr: 6.672e-06, eta: 6:03:59, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1320, decode.acc_seg: 94.1668, aux.loss_ce: 0.0836, aux.acc_seg: 91.4140, loss: 0.2156 2024-03-05 11:17:12,930 - mmseg - INFO - Iter [129050/160000] lr: 6.662e-06, eta: 6:03:24, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1243, decode.acc_seg: 94.3849, aux.loss_ce: 0.0785, aux.acc_seg: 91.8734, loss: 0.2029 2024-03-05 11:17:47,370 - mmseg - INFO - Iter [129100/160000] lr: 6.651e-06, eta: 6:02:48, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1283, decode.acc_seg: 94.3662, aux.loss_ce: 0.0802, aux.acc_seg: 91.8220, loss: 0.2085 2024-03-05 11:18:21,816 - mmseg - INFO - Iter [129150/160000] lr: 6.640e-06, eta: 6:02:13, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1251, decode.acc_seg: 94.5189, aux.loss_ce: 0.0793, aux.acc_seg: 92.0176, loss: 0.2043 2024-03-05 11:18:56,104 - mmseg - INFO - Iter [129200/160000] lr: 6.629e-06, eta: 6:01:37, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1286, decode.acc_seg: 94.2506, aux.loss_ce: 0.0786, aux.acc_seg: 91.8572, loss: 0.2072 2024-03-05 11:19:30,327 - mmseg - INFO - Iter [129250/160000] lr: 6.619e-06, eta: 6:01:02, time: 0.684, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1328, decode.acc_seg: 94.1345, aux.loss_ce: 0.0820, aux.acc_seg: 91.5779, loss: 0.2147 2024-03-05 11:20:04,786 - mmseg - INFO - Iter [129300/160000] lr: 6.608e-06, eta: 6:00:27, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1266, decode.acc_seg: 94.3846, aux.loss_ce: 0.0790, aux.acc_seg: 91.8183, loss: 0.2056 2024-03-05 11:20:39,243 - mmseg - INFO - Iter [129350/160000] lr: 6.597e-06, eta: 5:59:51, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1309, decode.acc_seg: 94.2863, aux.loss_ce: 0.0807, aux.acc_seg: 91.6687, loss: 0.2117 2024-03-05 11:21:13,706 - mmseg - INFO - Iter [129400/160000] lr: 6.586e-06, eta: 5:59:16, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1314, decode.acc_seg: 94.2773, aux.loss_ce: 0.0811, aux.acc_seg: 91.8045, loss: 0.2126 2024-03-05 11:21:48,130 - mmseg - INFO - Iter [129450/160000] lr: 6.576e-06, eta: 5:58:40, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1264, decode.acc_seg: 94.3535, aux.loss_ce: 0.0766, aux.acc_seg: 92.1201, loss: 0.2030 2024-03-05 11:22:22,615 - mmseg - INFO - Iter [129500/160000] lr: 6.565e-06, eta: 5:58:05, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1332, decode.acc_seg: 94.1989, aux.loss_ce: 0.0807, aux.acc_seg: 91.8022, loss: 0.2139 2024-03-05 11:22:56,872 - mmseg - INFO - Iter [129550/160000] lr: 6.554e-06, eta: 5:57:30, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1256, decode.acc_seg: 94.2990, aux.loss_ce: 0.0762, aux.acc_seg: 92.1056, loss: 0.2018 2024-03-05 11:23:31,238 - mmseg - INFO - Iter [129600/160000] lr: 6.543e-06, eta: 5:56:54, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1423, decode.acc_seg: 94.0084, aux.loss_ce: 0.0881, aux.acc_seg: 91.5331, loss: 0.2304 2024-03-05 11:24:05,742 - mmseg - INFO - Iter [129650/160000] lr: 6.533e-06, eta: 5:56:19, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1269, decode.acc_seg: 94.4753, aux.loss_ce: 0.0799, aux.acc_seg: 91.9423, loss: 0.2068 2024-03-05 11:24:39,983 - mmseg - INFO - Iter [129700/160000] lr: 6.522e-06, eta: 5:55:43, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1305, decode.acc_seg: 94.0571, aux.loss_ce: 0.0835, aux.acc_seg: 91.4060, loss: 0.2140 2024-03-05 11:25:14,278 - mmseg - INFO - Iter [129750/160000] lr: 6.511e-06, eta: 5:55:08, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1239, decode.acc_seg: 94.4365, aux.loss_ce: 0.0785, aux.acc_seg: 91.6865, loss: 0.2024 2024-03-05 11:25:48,664 - mmseg - INFO - Iter [129800/160000] lr: 6.500e-06, eta: 5:54:32, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1298, decode.acc_seg: 94.3490, aux.loss_ce: 0.0811, aux.acc_seg: 91.8480, loss: 0.2109 2024-03-05 11:26:22,974 - mmseg - INFO - Iter [129850/160000] lr: 6.490e-06, eta: 5:53:57, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1289, decode.acc_seg: 94.2421, aux.loss_ce: 0.0823, aux.acc_seg: 91.4810, loss: 0.2112 2024-03-05 11:26:57,440 - mmseg - INFO - Iter [129900/160000] lr: 6.479e-06, eta: 5:53:22, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1296, decode.acc_seg: 94.2977, aux.loss_ce: 0.0792, aux.acc_seg: 91.8646, loss: 0.2088 2024-03-05 11:27:31,933 - mmseg - INFO - Iter [129950/160000] lr: 6.468e-06, eta: 5:52:46, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1321, decode.acc_seg: 94.2609, aux.loss_ce: 0.0808, aux.acc_seg: 91.9148, loss: 0.2130 2024-03-05 11:28:06,237 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 11:28:06,237 - mmseg - INFO - Iter [130000/160000] lr: 6.457e-06, eta: 5:52:11, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1319, decode.acc_seg: 94.2587, aux.loss_ce: 0.0839, aux.acc_seg: 91.6218, loss: 0.2158 2024-03-05 11:28:40,452 - mmseg - INFO - Iter [130050/160000] lr: 6.446e-06, eta: 5:51:35, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1193, decode.acc_seg: 94.6720, aux.loss_ce: 0.0749, aux.acc_seg: 92.2301, loss: 0.1942 2024-03-05 11:29:18,017 - mmseg - INFO - Iter [130100/160000] lr: 6.436e-06, eta: 5:51:01, time: 0.751, data_time: 0.060, memory: 9361, decode.loss_ce: 0.1318, decode.acc_seg: 94.1787, aux.loss_ce: 0.0810, aux.acc_seg: 91.7467, loss: 0.2128 2024-03-05 11:29:52,461 - mmseg - INFO - Iter [130150/160000] lr: 6.425e-06, eta: 5:50:25, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1309, decode.acc_seg: 94.1962, aux.loss_ce: 0.0815, aux.acc_seg: 91.6381, loss: 0.2123 2024-03-05 11:30:26,866 - mmseg - INFO - Iter [130200/160000] lr: 6.414e-06, eta: 5:49:50, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1336, decode.acc_seg: 94.1279, aux.loss_ce: 0.0822, aux.acc_seg: 91.7367, loss: 0.2158 2024-03-05 11:31:01,295 - mmseg - INFO - Iter [130250/160000] lr: 6.403e-06, eta: 5:49:14, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1350, decode.acc_seg: 93.9422, aux.loss_ce: 0.0822, aux.acc_seg: 91.5537, loss: 0.2172 2024-03-05 11:31:35,912 - mmseg - INFO - Iter [130300/160000] lr: 6.393e-06, eta: 5:48:39, time: 0.692, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1302, decode.acc_seg: 94.2873, aux.loss_ce: 0.0814, aux.acc_seg: 91.7461, loss: 0.2116 2024-03-05 11:32:10,322 - mmseg - INFO - Iter [130350/160000] lr: 6.382e-06, eta: 5:48:04, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1314, decode.acc_seg: 94.1000, aux.loss_ce: 0.0814, aux.acc_seg: 91.7031, loss: 0.2128 2024-03-05 11:32:44,872 - mmseg - INFO - Iter [130400/160000] lr: 6.371e-06, eta: 5:47:28, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1256, decode.acc_seg: 94.4771, aux.loss_ce: 0.0777, aux.acc_seg: 92.0693, loss: 0.2032 2024-03-05 11:33:19,415 - mmseg - INFO - Iter [130450/160000] lr: 6.360e-06, eta: 5:46:53, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1271, decode.acc_seg: 94.4201, aux.loss_ce: 0.0807, aux.acc_seg: 91.7295, loss: 0.2078 2024-03-05 11:33:53,847 - mmseg - INFO - Iter [130500/160000] lr: 6.350e-06, eta: 5:46:18, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1237, decode.acc_seg: 94.3730, aux.loss_ce: 0.0799, aux.acc_seg: 91.6185, loss: 0.2036 2024-03-05 11:34:28,175 - mmseg - INFO - Iter [130550/160000] lr: 6.339e-06, eta: 5:45:42, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1260, decode.acc_seg: 94.4690, aux.loss_ce: 0.0778, aux.acc_seg: 92.0400, loss: 0.2038 2024-03-05 11:35:02,615 - mmseg - INFO - Iter [130600/160000] lr: 6.328e-06, eta: 5:45:07, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1306, decode.acc_seg: 94.2422, aux.loss_ce: 0.0807, aux.acc_seg: 91.7777, loss: 0.2113 2024-03-05 11:35:37,050 - mmseg - INFO - Iter [130650/160000] lr: 6.317e-06, eta: 5:44:31, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1274, decode.acc_seg: 94.2980, aux.loss_ce: 0.0796, aux.acc_seg: 91.7554, loss: 0.2069 2024-03-05 11:36:11,565 - mmseg - INFO - Iter [130700/160000] lr: 6.307e-06, eta: 5:43:56, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1267, decode.acc_seg: 94.3246, aux.loss_ce: 0.0795, aux.acc_seg: 91.7822, loss: 0.2062 2024-03-05 11:36:46,023 - mmseg - INFO - Iter [130750/160000] lr: 6.296e-06, eta: 5:43:21, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1264, decode.acc_seg: 94.3522, aux.loss_ce: 0.0801, aux.acc_seg: 91.8355, loss: 0.2065 2024-03-05 11:37:20,345 - mmseg - INFO - Iter [130800/160000] lr: 6.285e-06, eta: 5:42:45, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1209, decode.acc_seg: 94.4855, aux.loss_ce: 0.0780, aux.acc_seg: 91.8990, loss: 0.1988 2024-03-05 11:37:54,757 - mmseg - INFO - Iter [130850/160000] lr: 6.274e-06, eta: 5:42:10, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1339, decode.acc_seg: 93.9636, aux.loss_ce: 0.0826, aux.acc_seg: 91.3599, loss: 0.2165 2024-03-05 11:38:29,074 - mmseg - INFO - Iter [130900/160000] lr: 6.264e-06, eta: 5:41:34, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1253, decode.acc_seg: 94.5059, aux.loss_ce: 0.0774, aux.acc_seg: 92.0339, loss: 0.2028 2024-03-05 11:39:03,261 - mmseg - INFO - Iter [130950/160000] lr: 6.253e-06, eta: 5:40:59, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1307, decode.acc_seg: 94.2243, aux.loss_ce: 0.0827, aux.acc_seg: 91.5637, loss: 0.2134 2024-03-05 11:39:37,784 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 11:39:37,785 - mmseg - INFO - Iter [131000/160000] lr: 6.242e-06, eta: 5:40:24, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1324, decode.acc_seg: 94.2170, aux.loss_ce: 0.0801, aux.acc_seg: 91.8464, loss: 0.2125 2024-03-05 11:40:12,288 - mmseg - INFO - Iter [131050/160000] lr: 6.231e-06, eta: 5:39:48, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1338, decode.acc_seg: 94.1582, aux.loss_ce: 0.0809, aux.acc_seg: 91.7487, loss: 0.2148 2024-03-05 11:40:46,652 - mmseg - INFO - Iter [131100/160000] lr: 6.220e-06, eta: 5:39:13, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1216, decode.acc_seg: 94.6076, aux.loss_ce: 0.0761, aux.acc_seg: 92.1621, loss: 0.1976 2024-03-05 11:41:21,180 - mmseg - INFO - Iter [131150/160000] lr: 6.210e-06, eta: 5:38:37, time: 0.691, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1312, decode.acc_seg: 94.1951, aux.loss_ce: 0.0842, aux.acc_seg: 91.5366, loss: 0.2153 2024-03-05 11:41:55,691 - mmseg - INFO - Iter [131200/160000] lr: 6.199e-06, eta: 5:38:02, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1246, decode.acc_seg: 94.5350, aux.loss_ce: 0.0770, aux.acc_seg: 92.1321, loss: 0.2016 2024-03-05 11:42:30,181 - mmseg - INFO - Iter [131250/160000] lr: 6.188e-06, eta: 5:37:27, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1318, decode.acc_seg: 94.0629, aux.loss_ce: 0.0822, aux.acc_seg: 91.4713, loss: 0.2140 2024-03-05 11:43:04,440 - mmseg - INFO - Iter [131300/160000] lr: 6.177e-06, eta: 5:36:51, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1264, decode.acc_seg: 94.4625, aux.loss_ce: 0.0785, aux.acc_seg: 91.9298, loss: 0.2049 2024-03-05 11:43:38,871 - mmseg - INFO - Iter [131350/160000] lr: 6.167e-06, eta: 5:36:16, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1255, decode.acc_seg: 94.4671, aux.loss_ce: 0.0766, aux.acc_seg: 92.2207, loss: 0.2022 2024-03-05 11:44:16,256 - mmseg - INFO - Iter [131400/160000] lr: 6.156e-06, eta: 5:35:41, time: 0.748, data_time: 0.066, memory: 9361, decode.loss_ce: 0.1297, decode.acc_seg: 94.3174, aux.loss_ce: 0.0816, aux.acc_seg: 91.7928, loss: 0.2113 2024-03-05 11:44:50,563 - mmseg - INFO - Iter [131450/160000] lr: 6.145e-06, eta: 5:35:06, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1236, decode.acc_seg: 94.5318, aux.loss_ce: 0.0787, aux.acc_seg: 91.9701, loss: 0.2024 2024-03-05 11:45:24,738 - mmseg - INFO - Iter [131500/160000] lr: 6.134e-06, eta: 5:34:30, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1293, decode.acc_seg: 94.3619, aux.loss_ce: 0.0806, aux.acc_seg: 91.7986, loss: 0.2099 2024-03-05 11:45:58,995 - mmseg - INFO - Iter [131550/160000] lr: 6.124e-06, eta: 5:33:55, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1250, decode.acc_seg: 94.4095, aux.loss_ce: 0.0783, aux.acc_seg: 91.8934, loss: 0.2033 2024-03-05 11:46:33,321 - mmseg - INFO - Iter [131600/160000] lr: 6.113e-06, eta: 5:33:19, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1325, decode.acc_seg: 94.1628, aux.loss_ce: 0.0816, aux.acc_seg: 91.6694, loss: 0.2141 2024-03-05 11:47:07,602 - mmseg - INFO - Iter [131650/160000] lr: 6.102e-06, eta: 5:32:44, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1304, decode.acc_seg: 94.4790, aux.loss_ce: 0.0821, aux.acc_seg: 91.7885, loss: 0.2125 2024-03-05 11:47:42,015 - mmseg - INFO - Iter [131700/160000] lr: 6.091e-06, eta: 5:32:09, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1308, decode.acc_seg: 94.3830, aux.loss_ce: 0.0817, aux.acc_seg: 91.8293, loss: 0.2124 2024-03-05 11:48:16,489 - mmseg - INFO - Iter [131750/160000] lr: 6.081e-06, eta: 5:31:33, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1294, decode.acc_seg: 94.2918, aux.loss_ce: 0.0810, aux.acc_seg: 91.6756, loss: 0.2105 2024-03-05 11:48:50,892 - mmseg - INFO - Iter [131800/160000] lr: 6.070e-06, eta: 5:30:58, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1299, decode.acc_seg: 94.2160, aux.loss_ce: 0.0828, aux.acc_seg: 91.4690, loss: 0.2127 2024-03-05 11:49:25,495 - mmseg - INFO - Iter [131850/160000] lr: 6.059e-06, eta: 5:30:23, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1259, decode.acc_seg: 94.3119, aux.loss_ce: 0.0792, aux.acc_seg: 91.8310, loss: 0.2051 2024-03-05 11:50:00,153 - mmseg - INFO - Iter [131900/160000] lr: 6.048e-06, eta: 5:29:47, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1242, decode.acc_seg: 94.6011, aux.loss_ce: 0.0765, aux.acc_seg: 92.3216, loss: 0.2007 2024-03-05 11:50:34,510 - mmseg - INFO - Iter [131950/160000] lr: 6.038e-06, eta: 5:29:12, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1333, decode.acc_seg: 94.0935, aux.loss_ce: 0.0834, aux.acc_seg: 91.6636, loss: 0.2167 2024-03-05 11:51:08,860 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 11:51:08,861 - mmseg - INFO - Iter [132000/160000] lr: 6.027e-06, eta: 5:28:36, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1231, decode.acc_seg: 94.4915, aux.loss_ce: 0.0761, aux.acc_seg: 92.1184, loss: 0.1991 2024-03-05 11:51:43,145 - mmseg - INFO - Iter [132050/160000] lr: 6.016e-06, eta: 5:28:01, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1304, decode.acc_seg: 94.3087, aux.loss_ce: 0.0833, aux.acc_seg: 91.6235, loss: 0.2137 2024-03-05 11:52:17,613 - mmseg - INFO - Iter [132100/160000] lr: 6.005e-06, eta: 5:27:26, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1290, decode.acc_seg: 94.1842, aux.loss_ce: 0.0844, aux.acc_seg: 91.3831, loss: 0.2134 2024-03-05 11:52:51,909 - mmseg - INFO - Iter [132150/160000] lr: 5.994e-06, eta: 5:26:50, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1268, decode.acc_seg: 94.4025, aux.loss_ce: 0.0805, aux.acc_seg: 91.8752, loss: 0.2073 2024-03-05 11:53:26,196 - mmseg - INFO - Iter [132200/160000] lr: 5.984e-06, eta: 5:26:15, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1229, decode.acc_seg: 94.4691, aux.loss_ce: 0.0767, aux.acc_seg: 92.1461, loss: 0.1996 2024-03-05 11:54:00,769 - mmseg - INFO - Iter [132250/160000] lr: 5.973e-06, eta: 5:25:40, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1212, decode.acc_seg: 94.5321, aux.loss_ce: 0.0776, aux.acc_seg: 91.9446, loss: 0.1988 2024-03-05 11:54:35,094 - mmseg - INFO - Iter [132300/160000] lr: 5.962e-06, eta: 5:25:04, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1283, decode.acc_seg: 94.3675, aux.loss_ce: 0.0833, aux.acc_seg: 91.5462, loss: 0.2116 2024-03-05 11:55:09,590 - mmseg - INFO - Iter [132350/160000] lr: 5.951e-06, eta: 5:24:29, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1218, decode.acc_seg: 94.6749, aux.loss_ce: 0.0772, aux.acc_seg: 92.1833, loss: 0.1989 2024-03-05 11:55:44,199 - mmseg - INFO - Iter [132400/160000] lr: 5.941e-06, eta: 5:23:53, time: 0.692, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1203, decode.acc_seg: 94.6893, aux.loss_ce: 0.0743, aux.acc_seg: 92.4183, loss: 0.1947 2024-03-05 11:56:18,725 - mmseg - INFO - Iter [132450/160000] lr: 5.930e-06, eta: 5:23:18, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1267, decode.acc_seg: 94.2236, aux.loss_ce: 0.0796, aux.acc_seg: 91.7869, loss: 0.2063 2024-03-05 11:56:53,055 - mmseg - INFO - Iter [132500/160000] lr: 5.919e-06, eta: 5:22:43, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1202, decode.acc_seg: 94.4988, aux.loss_ce: 0.0756, aux.acc_seg: 92.0545, loss: 0.1958 2024-03-05 11:57:27,658 - mmseg - INFO - Iter [132550/160000] lr: 5.908e-06, eta: 5:22:07, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1320, decode.acc_seg: 94.1411, aux.loss_ce: 0.0806, aux.acc_seg: 91.7460, loss: 0.2126 2024-03-05 11:58:01,978 - mmseg - INFO - Iter [132600/160000] lr: 5.898e-06, eta: 5:21:32, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1264, decode.acc_seg: 94.4326, aux.loss_ce: 0.0796, aux.acc_seg: 91.9500, loss: 0.2060 2024-03-05 11:58:39,393 - mmseg - INFO - Iter [132650/160000] lr: 5.887e-06, eta: 5:20:57, time: 0.748, data_time: 0.066, memory: 9361, decode.loss_ce: 0.1323, decode.acc_seg: 94.1301, aux.loss_ce: 0.0793, aux.acc_seg: 91.7804, loss: 0.2117 2024-03-05 11:59:13,794 - mmseg - INFO - Iter [132700/160000] lr: 5.876e-06, eta: 5:20:22, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1191, decode.acc_seg: 94.7578, aux.loss_ce: 0.0762, aux.acc_seg: 92.2743, loss: 0.1953 2024-03-05 11:59:48,211 - mmseg - INFO - Iter [132750/160000] lr: 5.865e-06, eta: 5:19:47, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1276, decode.acc_seg: 94.2835, aux.loss_ce: 0.0799, aux.acc_seg: 91.8322, loss: 0.2075 2024-03-05 12:00:22,535 - mmseg - INFO - Iter [132800/160000] lr: 5.855e-06, eta: 5:19:11, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1266, decode.acc_seg: 94.1596, aux.loss_ce: 0.0751, aux.acc_seg: 91.9206, loss: 0.2017 2024-03-05 12:00:56,996 - mmseg - INFO - Iter [132850/160000] lr: 5.844e-06, eta: 5:18:36, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1282, decode.acc_seg: 94.2191, aux.loss_ce: 0.0796, aux.acc_seg: 91.8375, loss: 0.2078 2024-03-05 12:01:31,509 - mmseg - INFO - Iter [132900/160000] lr: 5.833e-06, eta: 5:18:00, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1332, decode.acc_seg: 94.2127, aux.loss_ce: 0.0834, aux.acc_seg: 91.5784, loss: 0.2166 2024-03-05 12:02:06,012 - mmseg - INFO - Iter [132950/160000] lr: 5.822e-06, eta: 5:17:25, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1239, decode.acc_seg: 94.4479, aux.loss_ce: 0.0780, aux.acc_seg: 91.8664, loss: 0.2020 2024-03-05 12:02:40,401 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 12:02:40,401 - mmseg - INFO - Iter [133000/160000] lr: 5.812e-06, eta: 5:16:50, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1197, decode.acc_seg: 94.6174, aux.loss_ce: 0.0761, aux.acc_seg: 92.1805, loss: 0.1958 2024-03-05 12:03:14,818 - mmseg - INFO - Iter [133050/160000] lr: 5.801e-06, eta: 5:16:14, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1242, decode.acc_seg: 94.4856, aux.loss_ce: 0.0764, aux.acc_seg: 92.0358, loss: 0.2006 2024-03-05 12:03:49,359 - mmseg - INFO - Iter [133100/160000] lr: 5.790e-06, eta: 5:15:39, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1293, decode.acc_seg: 94.4403, aux.loss_ce: 0.0807, aux.acc_seg: 91.9295, loss: 0.2100 2024-03-05 12:04:23,846 - mmseg - INFO - Iter [133150/160000] lr: 5.779e-06, eta: 5:15:04, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1264, decode.acc_seg: 94.3904, aux.loss_ce: 0.0779, aux.acc_seg: 91.9893, loss: 0.2044 2024-03-05 12:04:58,119 - mmseg - INFO - Iter [133200/160000] lr: 5.768e-06, eta: 5:14:28, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1241, decode.acc_seg: 94.4852, aux.loss_ce: 0.0770, aux.acc_seg: 92.1852, loss: 0.2010 2024-03-05 12:05:32,606 - mmseg - INFO - Iter [133250/160000] lr: 5.758e-06, eta: 5:13:53, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1229, decode.acc_seg: 94.5358, aux.loss_ce: 0.0757, aux.acc_seg: 92.2006, loss: 0.1985 2024-03-05 12:06:07,252 - mmseg - INFO - Iter [133300/160000] lr: 5.747e-06, eta: 5:13:18, time: 0.693, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1251, decode.acc_seg: 94.4063, aux.loss_ce: 0.0781, aux.acc_seg: 92.0039, loss: 0.2032 2024-03-05 12:06:41,823 - mmseg - INFO - Iter [133350/160000] lr: 5.736e-06, eta: 5:12:42, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1269, decode.acc_seg: 94.2150, aux.loss_ce: 0.0771, aux.acc_seg: 91.9548, loss: 0.2040 2024-03-05 12:07:16,257 - mmseg - INFO - Iter [133400/160000] lr: 5.725e-06, eta: 5:12:07, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1276, decode.acc_seg: 94.1584, aux.loss_ce: 0.0809, aux.acc_seg: 91.4195, loss: 0.2085 2024-03-05 12:07:50,656 - mmseg - INFO - Iter [133450/160000] lr: 5.715e-06, eta: 5:11:32, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1285, decode.acc_seg: 94.4254, aux.loss_ce: 0.0780, aux.acc_seg: 92.0873, loss: 0.2065 2024-03-05 12:08:25,257 - mmseg - INFO - Iter [133500/160000] lr: 5.704e-06, eta: 5:10:56, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1310, decode.acc_seg: 94.3018, aux.loss_ce: 0.0801, aux.acc_seg: 91.8957, loss: 0.2112 2024-03-05 12:08:59,736 - mmseg - INFO - Iter [133550/160000] lr: 5.693e-06, eta: 5:10:21, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1282, decode.acc_seg: 94.3713, aux.loss_ce: 0.0780, aux.acc_seg: 92.0249, loss: 0.2063 2024-03-05 12:09:34,267 - mmseg - INFO - Iter [133600/160000] lr: 5.682e-06, eta: 5:09:46, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1312, decode.acc_seg: 94.2077, aux.loss_ce: 0.0813, aux.acc_seg: 91.6838, loss: 0.2124 2024-03-05 12:10:08,792 - mmseg - INFO - Iter [133650/160000] lr: 5.672e-06, eta: 5:09:10, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1250, decode.acc_seg: 94.3636, aux.loss_ce: 0.0805, aux.acc_seg: 91.6173, loss: 0.2055 2024-03-05 12:10:43,071 - mmseg - INFO - Iter [133700/160000] lr: 5.661e-06, eta: 5:08:35, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1247, decode.acc_seg: 94.4834, aux.loss_ce: 0.0770, aux.acc_seg: 92.0348, loss: 0.2017 2024-03-05 12:11:17,717 - mmseg - INFO - Iter [133750/160000] lr: 5.650e-06, eta: 5:08:00, time: 0.693, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1279, decode.acc_seg: 94.3086, aux.loss_ce: 0.0802, aux.acc_seg: 91.8940, loss: 0.2081 2024-03-05 12:11:52,410 - mmseg - INFO - Iter [133800/160000] lr: 5.639e-06, eta: 5:07:24, time: 0.694, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1227, decode.acc_seg: 94.4612, aux.loss_ce: 0.0759, aux.acc_seg: 92.0209, loss: 0.1987 2024-03-05 12:12:26,960 - mmseg - INFO - Iter [133850/160000] lr: 5.629e-06, eta: 5:06:49, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1264, decode.acc_seg: 94.3147, aux.loss_ce: 0.0773, aux.acc_seg: 91.9580, loss: 0.2038 2024-03-05 12:13:04,399 - mmseg - INFO - Iter [133900/160000] lr: 5.618e-06, eta: 5:06:14, time: 0.749, data_time: 0.056, memory: 9361, decode.loss_ce: 0.1282, decode.acc_seg: 94.3437, aux.loss_ce: 0.0784, aux.acc_seg: 92.0005, loss: 0.2066 2024-03-05 12:13:38,840 - mmseg - INFO - Iter [133950/160000] lr: 5.607e-06, eta: 5:05:39, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1291, decode.acc_seg: 94.2230, aux.loss_ce: 0.0822, aux.acc_seg: 91.4872, loss: 0.2113 2024-03-05 12:14:13,001 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 12:14:13,001 - mmseg - INFO - Iter [134000/160000] lr: 5.596e-06, eta: 5:05:03, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1221, decode.acc_seg: 94.4404, aux.loss_ce: 0.0754, aux.acc_seg: 92.0264, loss: 0.1974 2024-03-05 12:14:47,126 - mmseg - INFO - Iter [134050/160000] lr: 5.586e-06, eta: 5:04:28, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1262, decode.acc_seg: 94.5108, aux.loss_ce: 0.0779, aux.acc_seg: 92.1010, loss: 0.2040 2024-03-05 12:15:21,251 - mmseg - INFO - Iter [134100/160000] lr: 5.575e-06, eta: 5:03:53, time: 0.682, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1296, decode.acc_seg: 94.2974, aux.loss_ce: 0.0835, aux.acc_seg: 91.5733, loss: 0.2131 2024-03-05 12:15:55,630 - mmseg - INFO - Iter [134150/160000] lr: 5.564e-06, eta: 5:03:17, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1184, decode.acc_seg: 94.6718, aux.loss_ce: 0.0732, aux.acc_seg: 92.4584, loss: 0.1916 2024-03-05 12:16:30,108 - mmseg - INFO - Iter [134200/160000] lr: 5.553e-06, eta: 5:02:42, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1290, decode.acc_seg: 94.3747, aux.loss_ce: 0.0799, aux.acc_seg: 91.8822, loss: 0.2089 2024-03-05 12:17:04,528 - mmseg - INFO - Iter [134250/160000] lr: 5.542e-06, eta: 5:02:07, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1179, decode.acc_seg: 94.6498, aux.loss_ce: 0.0730, aux.acc_seg: 92.3834, loss: 0.1909 2024-03-05 12:17:38,967 - mmseg - INFO - Iter [134300/160000] lr: 5.532e-06, eta: 5:01:31, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1329, decode.acc_seg: 94.1121, aux.loss_ce: 0.0777, aux.acc_seg: 92.0289, loss: 0.2105 2024-03-05 12:18:13,498 - mmseg - INFO - Iter [134350/160000] lr: 5.521e-06, eta: 5:00:56, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1276, decode.acc_seg: 94.2448, aux.loss_ce: 0.0791, aux.acc_seg: 91.7692, loss: 0.2067 2024-03-05 12:18:48,126 - mmseg - INFO - Iter [134400/160000] lr: 5.510e-06, eta: 5:00:21, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1285, decode.acc_seg: 94.3249, aux.loss_ce: 0.0786, aux.acc_seg: 91.8526, loss: 0.2072 2024-03-05 12:19:22,631 - mmseg - INFO - Iter [134450/160000] lr: 5.499e-06, eta: 4:59:45, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1227, decode.acc_seg: 94.5510, aux.loss_ce: 0.0764, aux.acc_seg: 92.1355, loss: 0.1991 2024-03-05 12:19:57,121 - mmseg - INFO - Iter [134500/160000] lr: 5.489e-06, eta: 4:59:10, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1274, decode.acc_seg: 94.3694, aux.loss_ce: 0.0786, aux.acc_seg: 91.9355, loss: 0.2060 2024-03-05 12:20:31,754 - mmseg - INFO - Iter [134550/160000] lr: 5.478e-06, eta: 4:58:35, time: 0.693, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1252, decode.acc_seg: 94.3414, aux.loss_ce: 0.0769, aux.acc_seg: 92.0297, loss: 0.2021 2024-03-05 12:21:06,117 - mmseg - INFO - Iter [134600/160000] lr: 5.467e-06, eta: 4:57:59, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1240, decode.acc_seg: 94.6124, aux.loss_ce: 0.0790, aux.acc_seg: 92.0945, loss: 0.2030 2024-03-05 12:21:40,726 - mmseg - INFO - Iter [134650/160000] lr: 5.456e-06, eta: 4:57:24, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1247, decode.acc_seg: 94.4669, aux.loss_ce: 0.0760, aux.acc_seg: 92.2116, loss: 0.2007 2024-03-05 12:22:15,014 - mmseg - INFO - Iter [134700/160000] lr: 5.446e-06, eta: 4:56:49, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1268, decode.acc_seg: 94.4304, aux.loss_ce: 0.0832, aux.acc_seg: 91.7572, loss: 0.2100 2024-03-05 12:22:49,492 - mmseg - INFO - Iter [134750/160000] lr: 5.435e-06, eta: 4:56:13, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1206, decode.acc_seg: 94.7700, aux.loss_ce: 0.0782, aux.acc_seg: 92.2460, loss: 0.1988 2024-03-05 12:23:24,019 - mmseg - INFO - Iter [134800/160000] lr: 5.424e-06, eta: 4:55:38, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1330, decode.acc_seg: 94.2075, aux.loss_ce: 0.0805, aux.acc_seg: 91.7376, loss: 0.2135 2024-03-05 12:23:58,643 - mmseg - INFO - Iter [134850/160000] lr: 5.413e-06, eta: 4:55:03, time: 0.693, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1262, decode.acc_seg: 94.4091, aux.loss_ce: 0.0797, aux.acc_seg: 91.7848, loss: 0.2059 2024-03-05 12:24:32,895 - mmseg - INFO - Iter [134900/160000] lr: 5.403e-06, eta: 4:54:27, time: 0.685, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1257, decode.acc_seg: 94.4481, aux.loss_ce: 0.0773, aux.acc_seg: 92.0614, loss: 0.2030 2024-03-05 12:25:07,344 - mmseg - INFO - Iter [134950/160000] lr: 5.392e-06, eta: 4:53:52, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1186, decode.acc_seg: 94.7844, aux.loss_ce: 0.0745, aux.acc_seg: 92.3763, loss: 0.1931 2024-03-05 12:25:41,816 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 12:25:41,817 - mmseg - INFO - Iter [135000/160000] lr: 5.381e-06, eta: 4:53:17, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1238, decode.acc_seg: 94.5248, aux.loss_ce: 0.0795, aux.acc_seg: 91.8405, loss: 0.2033 2024-03-05 12:26:16,212 - mmseg - INFO - Iter [135050/160000] lr: 5.370e-06, eta: 4:52:41, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1248, decode.acc_seg: 94.4179, aux.loss_ce: 0.0805, aux.acc_seg: 91.6550, loss: 0.2053 2024-03-05 12:26:50,811 - mmseg - INFO - Iter [135100/160000] lr: 5.360e-06, eta: 4:52:06, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1246, decode.acc_seg: 94.6450, aux.loss_ce: 0.0775, aux.acc_seg: 92.1967, loss: 0.2022 2024-03-05 12:27:28,425 - mmseg - INFO - Iter [135150/160000] lr: 5.349e-06, eta: 4:51:31, time: 0.753, data_time: 0.056, memory: 9361, decode.loss_ce: 0.1270, decode.acc_seg: 94.4068, aux.loss_ce: 0.0786, aux.acc_seg: 92.0386, loss: 0.2056 2024-03-05 12:28:02,786 - mmseg - INFO - Iter [135200/160000] lr: 5.338e-06, eta: 4:50:56, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1281, decode.acc_seg: 94.2740, aux.loss_ce: 0.0788, aux.acc_seg: 91.7821, loss: 0.2068 2024-03-05 12:28:37,050 - mmseg - INFO - Iter [135250/160000] lr: 5.327e-06, eta: 4:50:20, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1267, decode.acc_seg: 94.3559, aux.loss_ce: 0.0789, aux.acc_seg: 91.9633, loss: 0.2056 2024-03-05 12:29:11,427 - mmseg - INFO - Iter [135300/160000] lr: 5.316e-06, eta: 4:49:45, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1266, decode.acc_seg: 94.4037, aux.loss_ce: 0.0783, aux.acc_seg: 92.0042, loss: 0.2049 2024-03-05 12:29:45,927 - mmseg - INFO - Iter [135350/160000] lr: 5.306e-06, eta: 4:49:10, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1211, decode.acc_seg: 94.5181, aux.loss_ce: 0.0761, aux.acc_seg: 92.1410, loss: 0.1972 2024-03-05 12:30:20,464 - mmseg - INFO - Iter [135400/160000] lr: 5.295e-06, eta: 4:48:35, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1239, decode.acc_seg: 94.4351, aux.loss_ce: 0.0761, aux.acc_seg: 92.0546, loss: 0.2000 2024-03-05 12:30:55,069 - mmseg - INFO - Iter [135450/160000] lr: 5.284e-06, eta: 4:47:59, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1229, decode.acc_seg: 94.5850, aux.loss_ce: 0.0774, aux.acc_seg: 92.0963, loss: 0.2003 2024-03-05 12:31:29,453 - mmseg - INFO - Iter [135500/160000] lr: 5.273e-06, eta: 4:47:24, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1280, decode.acc_seg: 94.3306, aux.loss_ce: 0.0802, aux.acc_seg: 91.7719, loss: 0.2082 2024-03-05 12:32:03,897 - mmseg - INFO - Iter [135550/160000] lr: 5.263e-06, eta: 4:46:49, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1285, decode.acc_seg: 94.2870, aux.loss_ce: 0.0800, aux.acc_seg: 91.6874, loss: 0.2085 2024-03-05 12:32:38,275 - mmseg - INFO - Iter [135600/160000] lr: 5.252e-06, eta: 4:46:13, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1218, decode.acc_seg: 94.4914, aux.loss_ce: 0.0764, aux.acc_seg: 92.0616, loss: 0.1982 2024-03-05 12:33:12,672 - mmseg - INFO - Iter [135650/160000] lr: 5.241e-06, eta: 4:45:38, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1195, decode.acc_seg: 94.6555, aux.loss_ce: 0.0735, aux.acc_seg: 92.4231, loss: 0.1931 2024-03-05 12:33:47,059 - mmseg - INFO - Iter [135700/160000] lr: 5.230e-06, eta: 4:45:03, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1204, decode.acc_seg: 94.6291, aux.loss_ce: 0.0741, aux.acc_seg: 92.4149, loss: 0.1945 2024-03-05 12:34:21,663 - mmseg - INFO - Iter [135750/160000] lr: 5.220e-06, eta: 4:44:27, time: 0.692, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1263, decode.acc_seg: 94.3777, aux.loss_ce: 0.0788, aux.acc_seg: 91.7811, loss: 0.2051 2024-03-05 12:34:56,320 - mmseg - INFO - Iter [135800/160000] lr: 5.209e-06, eta: 4:43:52, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1332, decode.acc_seg: 94.0332, aux.loss_ce: 0.0851, aux.acc_seg: 91.2930, loss: 0.2183 2024-03-05 12:35:30,735 - mmseg - INFO - Iter [135850/160000] lr: 5.198e-06, eta: 4:43:17, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1259, decode.acc_seg: 94.5933, aux.loss_ce: 0.0797, aux.acc_seg: 92.1232, loss: 0.2056 2024-03-05 12:36:05,061 - mmseg - INFO - Iter [135900/160000] lr: 5.187e-06, eta: 4:42:41, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1245, decode.acc_seg: 94.4881, aux.loss_ce: 0.0807, aux.acc_seg: 91.7358, loss: 0.2052 2024-03-05 12:36:39,622 - mmseg - INFO - Iter [135950/160000] lr: 5.177e-06, eta: 4:42:06, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1273, decode.acc_seg: 94.2959, aux.loss_ce: 0.0780, aux.acc_seg: 91.9590, loss: 0.2053 2024-03-05 12:37:14,158 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 12:37:14,159 - mmseg - INFO - Iter [136000/160000] lr: 5.166e-06, eta: 4:41:31, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1298, decode.acc_seg: 94.2597, aux.loss_ce: 0.0796, aux.acc_seg: 91.8220, loss: 0.2094 2024-03-05 12:37:48,246 - mmseg - INFO - Iter [136050/160000] lr: 5.155e-06, eta: 4:40:55, time: 0.682, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1239, decode.acc_seg: 94.4860, aux.loss_ce: 0.0790, aux.acc_seg: 91.9391, loss: 0.2029 2024-03-05 12:38:22,955 - mmseg - INFO - Iter [136100/160000] lr: 5.144e-06, eta: 4:40:20, time: 0.694, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1219, decode.acc_seg: 94.5528, aux.loss_ce: 0.0762, aux.acc_seg: 92.1040, loss: 0.1980 2024-03-05 12:38:57,388 - mmseg - INFO - Iter [136150/160000] lr: 5.134e-06, eta: 4:39:45, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1211, decode.acc_seg: 94.7355, aux.loss_ce: 0.0773, aux.acc_seg: 92.1743, loss: 0.1984 2024-03-05 12:39:31,779 - mmseg - INFO - Iter [136200/160000] lr: 5.123e-06, eta: 4:39:09, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1178, decode.acc_seg: 94.6340, aux.loss_ce: 0.0751, aux.acc_seg: 92.1143, loss: 0.1928 2024-03-05 12:40:06,239 - mmseg - INFO - Iter [136250/160000] lr: 5.112e-06, eta: 4:38:34, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1288, decode.acc_seg: 94.3533, aux.loss_ce: 0.0803, aux.acc_seg: 91.9009, loss: 0.2090 2024-03-05 12:40:40,598 - mmseg - INFO - Iter [136300/160000] lr: 5.101e-06, eta: 4:37:59, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1237, decode.acc_seg: 94.4233, aux.loss_ce: 0.0786, aux.acc_seg: 91.8694, loss: 0.2023 2024-03-05 12:41:14,994 - mmseg - INFO - Iter [136350/160000] lr: 5.090e-06, eta: 4:37:23, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1304, decode.acc_seg: 94.2165, aux.loss_ce: 0.0803, aux.acc_seg: 91.7148, loss: 0.2107 2024-03-05 12:41:49,470 - mmseg - INFO - Iter [136400/160000] lr: 5.080e-06, eta: 4:36:48, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1285, decode.acc_seg: 94.3217, aux.loss_ce: 0.0803, aux.acc_seg: 91.8064, loss: 0.2088 2024-03-05 12:42:26,955 - mmseg - INFO - Iter [136450/160000] lr: 5.069e-06, eta: 4:36:13, time: 0.750, data_time: 0.071, memory: 9361, decode.loss_ce: 0.1255, decode.acc_seg: 94.5057, aux.loss_ce: 0.0797, aux.acc_seg: 91.8698, loss: 0.2052 2024-03-05 12:43:01,269 - mmseg - INFO - Iter [136500/160000] lr: 5.058e-06, eta: 4:35:38, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1231, decode.acc_seg: 94.5149, aux.loss_ce: 0.0783, aux.acc_seg: 91.9863, loss: 0.2014 2024-03-05 12:43:35,703 - mmseg - INFO - Iter [136550/160000] lr: 5.047e-06, eta: 4:35:03, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1238, decode.acc_seg: 94.4353, aux.loss_ce: 0.0794, aux.acc_seg: 91.8087, loss: 0.2032 2024-03-05 12:44:10,151 - mmseg - INFO - Iter [136600/160000] lr: 5.037e-06, eta: 4:34:27, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1263, decode.acc_seg: 94.3192, aux.loss_ce: 0.0798, aux.acc_seg: 91.8472, loss: 0.2061 2024-03-05 12:44:44,466 - mmseg - INFO - Iter [136650/160000] lr: 5.026e-06, eta: 4:33:52, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1224, decode.acc_seg: 94.6474, aux.loss_ce: 0.0781, aux.acc_seg: 92.1357, loss: 0.2005 2024-03-05 12:45:18,832 - mmseg - INFO - Iter [136700/160000] lr: 5.015e-06, eta: 4:33:17, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1197, decode.acc_seg: 94.5438, aux.loss_ce: 0.0750, aux.acc_seg: 92.2272, loss: 0.1947 2024-03-05 12:45:53,145 - mmseg - INFO - Iter [136750/160000] lr: 5.004e-06, eta: 4:32:41, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1223, decode.acc_seg: 94.6970, aux.loss_ce: 0.0797, aux.acc_seg: 92.0482, loss: 0.2020 2024-03-05 12:46:27,519 - mmseg - INFO - Iter [136800/160000] lr: 4.994e-06, eta: 4:32:06, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1196, decode.acc_seg: 94.6806, aux.loss_ce: 0.0736, aux.acc_seg: 92.4496, loss: 0.1932 2024-03-05 12:47:01,855 - mmseg - INFO - Iter [136850/160000] lr: 4.983e-06, eta: 4:31:31, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1253, decode.acc_seg: 94.3949, aux.loss_ce: 0.0788, aux.acc_seg: 91.8118, loss: 0.2041 2024-03-05 12:47:36,351 - mmseg - INFO - Iter [136900/160000] lr: 4.972e-06, eta: 4:30:55, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1246, decode.acc_seg: 94.4267, aux.loss_ce: 0.0781, aux.acc_seg: 91.9527, loss: 0.2027 2024-03-05 12:48:10,897 - mmseg - INFO - Iter [136950/160000] lr: 4.961e-06, eta: 4:30:20, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1263, decode.acc_seg: 94.3337, aux.loss_ce: 0.0761, aux.acc_seg: 91.9356, loss: 0.2024 2024-03-05 12:48:45,437 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 12:48:45,438 - mmseg - INFO - Iter [137000/160000] lr: 4.951e-06, eta: 4:29:45, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1185, decode.acc_seg: 94.7943, aux.loss_ce: 0.0740, aux.acc_seg: 92.3588, loss: 0.1925 2024-03-05 12:49:19,983 - mmseg - INFO - Iter [137050/160000] lr: 4.940e-06, eta: 4:29:09, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1193, decode.acc_seg: 94.6681, aux.loss_ce: 0.0762, aux.acc_seg: 92.1315, loss: 0.1955 2024-03-05 12:49:54,576 - mmseg - INFO - Iter [137100/160000] lr: 4.929e-06, eta: 4:28:34, time: 0.692, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1227, decode.acc_seg: 94.5565, aux.loss_ce: 0.0782, aux.acc_seg: 91.9905, loss: 0.2009 2024-03-05 12:50:29,227 - mmseg - INFO - Iter [137150/160000] lr: 4.918e-06, eta: 4:27:59, time: 0.693, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1223, decode.acc_seg: 94.5308, aux.loss_ce: 0.0769, aux.acc_seg: 92.1458, loss: 0.1992 2024-03-05 12:51:03,734 - mmseg - INFO - Iter [137200/160000] lr: 4.908e-06, eta: 4:27:24, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1281, decode.acc_seg: 94.3562, aux.loss_ce: 0.0768, aux.acc_seg: 92.1962, loss: 0.2049 2024-03-05 12:51:38,198 - mmseg - INFO - Iter [137250/160000] lr: 4.897e-06, eta: 4:26:48, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1261, decode.acc_seg: 94.4529, aux.loss_ce: 0.0804, aux.acc_seg: 91.9127, loss: 0.2065 2024-03-05 12:52:12,521 - mmseg - INFO - Iter [137300/160000] lr: 4.886e-06, eta: 4:26:13, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1244, decode.acc_seg: 94.4668, aux.loss_ce: 0.0764, aux.acc_seg: 92.0498, loss: 0.2008 2024-03-05 12:52:47,066 - mmseg - INFO - Iter [137350/160000] lr: 4.875e-06, eta: 4:25:38, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1236, decode.acc_seg: 94.5567, aux.loss_ce: 0.0777, aux.acc_seg: 92.1028, loss: 0.2013 2024-03-05 12:53:21,451 - mmseg - INFO - Iter [137400/160000] lr: 4.864e-06, eta: 4:25:02, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1255, decode.acc_seg: 94.3225, aux.loss_ce: 0.0779, aux.acc_seg: 91.8671, loss: 0.2034 2024-03-05 12:53:55,930 - mmseg - INFO - Iter [137450/160000] lr: 4.854e-06, eta: 4:24:27, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1257, decode.acc_seg: 94.4952, aux.loss_ce: 0.0786, aux.acc_seg: 92.0579, loss: 0.2043 2024-03-05 12:54:30,538 - mmseg - INFO - Iter [137500/160000] lr: 4.843e-06, eta: 4:23:52, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1229, decode.acc_seg: 94.4307, aux.loss_ce: 0.0779, aux.acc_seg: 91.8678, loss: 0.2007 2024-03-05 12:55:05,067 - mmseg - INFO - Iter [137550/160000] lr: 4.832e-06, eta: 4:23:17, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1219, decode.acc_seg: 94.5446, aux.loss_ce: 0.0758, aux.acc_seg: 92.2294, loss: 0.1977 2024-03-05 12:55:39,631 - mmseg - INFO - Iter [137600/160000] lr: 4.821e-06, eta: 4:22:41, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1224, decode.acc_seg: 94.5457, aux.loss_ce: 0.0766, aux.acc_seg: 92.2944, loss: 0.1990 2024-03-05 12:56:14,003 - mmseg - INFO - Iter [137650/160000] lr: 4.811e-06, eta: 4:22:06, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1246, decode.acc_seg: 94.4851, aux.loss_ce: 0.0781, aux.acc_seg: 92.1205, loss: 0.2026 2024-03-05 12:56:51,344 - mmseg - INFO - Iter [137700/160000] lr: 4.800e-06, eta: 4:21:31, time: 0.747, data_time: 0.058, memory: 9361, decode.loss_ce: 0.1294, decode.acc_seg: 94.3539, aux.loss_ce: 0.0771, aux.acc_seg: 92.1744, loss: 0.2065 2024-03-05 12:57:25,622 - mmseg - INFO - Iter [137750/160000] lr: 4.789e-06, eta: 4:20:56, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1214, decode.acc_seg: 94.6048, aux.loss_ce: 0.0798, aux.acc_seg: 91.9404, loss: 0.2012 2024-03-05 12:58:00,075 - mmseg - INFO - Iter [137800/160000] lr: 4.778e-06, eta: 4:20:20, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1271, decode.acc_seg: 94.3357, aux.loss_ce: 0.0798, aux.acc_seg: 91.8708, loss: 0.2069 2024-03-05 12:58:34,492 - mmseg - INFO - Iter [137850/160000] lr: 4.768e-06, eta: 4:19:45, time: 0.688, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1215, decode.acc_seg: 94.6004, aux.loss_ce: 0.0793, aux.acc_seg: 91.8550, loss: 0.2008 2024-03-05 12:59:08,742 - mmseg - INFO - Iter [137900/160000] lr: 4.757e-06, eta: 4:19:10, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1196, decode.acc_seg: 94.7236, aux.loss_ce: 0.0753, aux.acc_seg: 92.3832, loss: 0.1950 2024-03-05 12:59:43,060 - mmseg - INFO - Iter [137950/160000] lr: 4.746e-06, eta: 4:18:35, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1206, decode.acc_seg: 94.5580, aux.loss_ce: 0.0747, aux.acc_seg: 92.1390, loss: 0.1954 2024-03-05 13:00:17,222 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 13:00:17,222 - mmseg - INFO - Iter [138000/160000] lr: 4.735e-06, eta: 4:17:59, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1279, decode.acc_seg: 94.4149, aux.loss_ce: 0.0777, aux.acc_seg: 92.0836, loss: 0.2056 2024-03-05 13:00:51,444 - mmseg - INFO - Iter [138050/160000] lr: 4.725e-06, eta: 4:17:24, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1205, decode.acc_seg: 94.6215, aux.loss_ce: 0.0758, aux.acc_seg: 92.1309, loss: 0.1963 2024-03-05 13:01:25,841 - mmseg - INFO - Iter [138100/160000] lr: 4.714e-06, eta: 4:16:49, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1246, decode.acc_seg: 94.5373, aux.loss_ce: 0.0782, aux.acc_seg: 92.1044, loss: 0.2028 2024-03-05 13:02:00,236 - mmseg - INFO - Iter [138150/160000] lr: 4.703e-06, eta: 4:16:13, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1204, decode.acc_seg: 94.5387, aux.loss_ce: 0.0746, aux.acc_seg: 92.1898, loss: 0.1950 2024-03-05 13:02:34,619 - mmseg - INFO - Iter [138200/160000] lr: 4.692e-06, eta: 4:15:38, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1308, decode.acc_seg: 94.2751, aux.loss_ce: 0.0809, aux.acc_seg: 91.9103, loss: 0.2116 2024-03-05 13:03:09,037 - mmseg - INFO - Iter [138250/160000] lr: 4.682e-06, eta: 4:15:03, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1177, decode.acc_seg: 94.7682, aux.loss_ce: 0.0737, aux.acc_seg: 92.4368, loss: 0.1914 2024-03-05 13:03:43,522 - mmseg - INFO - Iter [138300/160000] lr: 4.671e-06, eta: 4:14:27, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1299, decode.acc_seg: 94.3692, aux.loss_ce: 0.0817, aux.acc_seg: 91.7912, loss: 0.2116 2024-03-05 13:04:17,971 - mmseg - INFO - Iter [138350/160000] lr: 4.660e-06, eta: 4:13:52, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1311, decode.acc_seg: 94.4275, aux.loss_ce: 0.0805, aux.acc_seg: 91.9916, loss: 0.2117 2024-03-05 13:04:52,683 - mmseg - INFO - Iter [138400/160000] lr: 4.649e-06, eta: 4:13:17, time: 0.694, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1275, decode.acc_seg: 94.3951, aux.loss_ce: 0.0769, aux.acc_seg: 92.1282, loss: 0.2044 2024-03-05 13:05:27,182 - mmseg - INFO - Iter [138450/160000] lr: 4.638e-06, eta: 4:12:41, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1232, decode.acc_seg: 94.5982, aux.loss_ce: 0.0759, aux.acc_seg: 92.2224, loss: 0.1990 2024-03-05 13:06:01,538 - mmseg - INFO - Iter [138500/160000] lr: 4.628e-06, eta: 4:12:06, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1266, decode.acc_seg: 94.4147, aux.loss_ce: 0.0801, aux.acc_seg: 91.8251, loss: 0.2067 2024-03-05 13:06:35,766 - mmseg - INFO - Iter [138550/160000] lr: 4.617e-06, eta: 4:11:31, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1149, decode.acc_seg: 94.8674, aux.loss_ce: 0.0732, aux.acc_seg: 92.4839, loss: 0.1882 2024-03-05 13:07:10,239 - mmseg - INFO - Iter [138600/160000] lr: 4.606e-06, eta: 4:10:56, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1207, decode.acc_seg: 94.5273, aux.loss_ce: 0.0759, aux.acc_seg: 91.9636, loss: 0.1966 2024-03-05 13:07:44,751 - mmseg - INFO - Iter [138650/160000] lr: 4.595e-06, eta: 4:10:20, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1246, decode.acc_seg: 94.5140, aux.loss_ce: 0.0791, aux.acc_seg: 92.1916, loss: 0.2037 2024-03-05 13:08:19,446 - mmseg - INFO - Iter [138700/160000] lr: 4.585e-06, eta: 4:09:45, time: 0.694, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1224, decode.acc_seg: 94.4543, aux.loss_ce: 0.0763, aux.acc_seg: 92.0291, loss: 0.1987 2024-03-05 13:08:54,053 - mmseg - INFO - Iter [138750/160000] lr: 4.574e-06, eta: 4:09:10, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1260, decode.acc_seg: 94.2778, aux.loss_ce: 0.0798, aux.acc_seg: 91.7332, loss: 0.2057 2024-03-05 13:09:28,555 - mmseg - INFO - Iter [138800/160000] lr: 4.563e-06, eta: 4:08:35, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1316, decode.acc_seg: 94.2520, aux.loss_ce: 0.0822, aux.acc_seg: 91.6686, loss: 0.2138 2024-03-05 13:10:03,008 - mmseg - INFO - Iter [138850/160000] lr: 4.552e-06, eta: 4:07:59, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1240, decode.acc_seg: 94.4900, aux.loss_ce: 0.0788, aux.acc_seg: 91.9565, loss: 0.2028 2024-03-05 13:10:37,349 - mmseg - INFO - Iter [138900/160000] lr: 4.542e-06, eta: 4:07:24, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1221, decode.acc_seg: 94.4918, aux.loss_ce: 0.0764, aux.acc_seg: 92.0874, loss: 0.1985 2024-03-05 13:11:14,903 - mmseg - INFO - Iter [138950/160000] lr: 4.531e-06, eta: 4:06:49, time: 0.751, data_time: 0.061, memory: 9361, decode.loss_ce: 0.1237, decode.acc_seg: 94.4146, aux.loss_ce: 0.0768, aux.acc_seg: 92.0768, loss: 0.2005 2024-03-05 13:11:49,233 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 13:11:49,234 - mmseg - INFO - Iter [139000/160000] lr: 4.520e-06, eta: 4:06:14, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1239, decode.acc_seg: 94.5325, aux.loss_ce: 0.0761, aux.acc_seg: 92.2264, loss: 0.2000 2024-03-05 13:12:23,548 - mmseg - INFO - Iter [139050/160000] lr: 4.509e-06, eta: 4:05:38, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1286, decode.acc_seg: 94.2907, aux.loss_ce: 0.0813, aux.acc_seg: 91.5965, loss: 0.2099 2024-03-05 13:12:57,747 - mmseg - INFO - Iter [139100/160000] lr: 4.499e-06, eta: 4:05:03, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1294, decode.acc_seg: 94.3840, aux.loss_ce: 0.0827, aux.acc_seg: 91.7436, loss: 0.2121 2024-03-05 13:13:32,169 - mmseg - INFO - Iter [139150/160000] lr: 4.488e-06, eta: 4:04:28, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1222, decode.acc_seg: 94.4949, aux.loss_ce: 0.0756, aux.acc_seg: 92.1355, loss: 0.1979 2024-03-05 13:14:06,391 - mmseg - INFO - Iter [139200/160000] lr: 4.477e-06, eta: 4:03:53, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1169, decode.acc_seg: 94.7969, aux.loss_ce: 0.0749, aux.acc_seg: 92.2422, loss: 0.1918 2024-03-05 13:14:40,870 - mmseg - INFO - Iter [139250/160000] lr: 4.466e-06, eta: 4:03:17, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1249, decode.acc_seg: 94.5188, aux.loss_ce: 0.0788, aux.acc_seg: 91.9828, loss: 0.2036 2024-03-05 13:15:15,266 - mmseg - INFO - Iter [139300/160000] lr: 4.456e-06, eta: 4:02:42, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1184, decode.acc_seg: 94.7928, aux.loss_ce: 0.0753, aux.acc_seg: 92.3310, loss: 0.1937 2024-03-05 13:15:49,816 - mmseg - INFO - Iter [139350/160000] lr: 4.445e-06, eta: 4:02:07, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1247, decode.acc_seg: 94.5883, aux.loss_ce: 0.0791, aux.acc_seg: 92.1539, loss: 0.2038 2024-03-05 13:16:24,480 - mmseg - INFO - Iter [139400/160000] lr: 4.434e-06, eta: 4:01:31, time: 0.693, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1181, decode.acc_seg: 94.6199, aux.loss_ce: 0.0726, aux.acc_seg: 92.3446, loss: 0.1906 2024-03-05 13:16:58,764 - mmseg - INFO - Iter [139450/160000] lr: 4.423e-06, eta: 4:00:56, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1251, decode.acc_seg: 94.3522, aux.loss_ce: 0.0780, aux.acc_seg: 91.7652, loss: 0.2031 2024-03-05 13:17:33,269 - mmseg - INFO - Iter [139500/160000] lr: 4.413e-06, eta: 4:00:21, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1182, decode.acc_seg: 94.6663, aux.loss_ce: 0.0726, aux.acc_seg: 92.3848, loss: 0.1908 2024-03-05 13:18:07,780 - mmseg - INFO - Iter [139550/160000] lr: 4.402e-06, eta: 3:59:46, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1195, decode.acc_seg: 94.6695, aux.loss_ce: 0.0755, aux.acc_seg: 92.2328, loss: 0.1950 2024-03-05 13:18:42,250 - mmseg - INFO - Iter [139600/160000] lr: 4.391e-06, eta: 3:59:10, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1258, decode.acc_seg: 94.3781, aux.loss_ce: 0.0786, aux.acc_seg: 91.8292, loss: 0.2045 2024-03-05 13:19:16,820 - mmseg - INFO - Iter [139650/160000] lr: 4.380e-06, eta: 3:58:35, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1218, decode.acc_seg: 94.4776, aux.loss_ce: 0.0789, aux.acc_seg: 91.9348, loss: 0.2008 2024-03-05 13:19:51,411 - mmseg - INFO - Iter [139700/160000] lr: 4.369e-06, eta: 3:58:00, time: 0.692, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1336, decode.acc_seg: 94.3665, aux.loss_ce: 0.0811, aux.acc_seg: 91.8415, loss: 0.2147 2024-03-05 13:20:26,026 - mmseg - INFO - Iter [139750/160000] lr: 4.359e-06, eta: 3:57:25, time: 0.692, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1239, decode.acc_seg: 94.5745, aux.loss_ce: 0.0763, aux.acc_seg: 92.2863, loss: 0.2001 2024-03-05 13:21:00,684 - mmseg - INFO - Iter [139800/160000] lr: 4.348e-06, eta: 3:56:49, time: 0.693, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1164, decode.acc_seg: 94.8042, aux.loss_ce: 0.0768, aux.acc_seg: 92.2032, loss: 0.1932 2024-03-05 13:21:35,140 - mmseg - INFO - Iter [139850/160000] lr: 4.337e-06, eta: 3:56:14, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1291, decode.acc_seg: 94.1812, aux.loss_ce: 0.0809, aux.acc_seg: 91.7250, loss: 0.2101 2024-03-05 13:22:09,519 - mmseg - INFO - Iter [139900/160000] lr: 4.326e-06, eta: 3:55:39, time: 0.688, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1275, decode.acc_seg: 94.3448, aux.loss_ce: 0.0789, aux.acc_seg: 91.8963, loss: 0.2063 2024-03-05 13:22:43,982 - mmseg - INFO - Iter [139950/160000] lr: 4.316e-06, eta: 3:55:03, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1219, decode.acc_seg: 94.6340, aux.loss_ce: 0.0772, aux.acc_seg: 92.1916, loss: 0.1991 2024-03-05 13:23:18,639 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 13:23:18,640 - mmseg - INFO - Iter [140000/160000] lr: 4.305e-06, eta: 3:54:28, time: 0.693, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1249, decode.acc_seg: 94.5854, aux.loss_ce: 0.0783, aux.acc_seg: 92.1449, loss: 0.2031 2024-03-05 13:23:53,082 - mmseg - INFO - Iter [140050/160000] lr: 4.294e-06, eta: 3:53:53, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1211, decode.acc_seg: 94.6068, aux.loss_ce: 0.0768, aux.acc_seg: 92.1227, loss: 0.1979 2024-03-05 13:24:27,645 - mmseg - INFO - Iter [140100/160000] lr: 4.283e-06, eta: 3:53:18, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1199, decode.acc_seg: 94.5797, aux.loss_ce: 0.0744, aux.acc_seg: 92.2245, loss: 0.1943 2024-03-05 13:25:02,224 - mmseg - INFO - Iter [140150/160000] lr: 4.273e-06, eta: 3:52:42, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1211, decode.acc_seg: 94.6181, aux.loss_ce: 0.0743, aux.acc_seg: 92.3472, loss: 0.1954 2024-03-05 13:25:39,653 - mmseg - INFO - Iter [140200/160000] lr: 4.262e-06, eta: 3:52:08, time: 0.749, data_time: 0.067, memory: 9361, decode.loss_ce: 0.1212, decode.acc_seg: 94.6779, aux.loss_ce: 0.0750, aux.acc_seg: 92.3612, loss: 0.1962 2024-03-05 13:26:14,060 - mmseg - INFO - Iter [140250/160000] lr: 4.251e-06, eta: 3:51:32, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1194, decode.acc_seg: 94.5738, aux.loss_ce: 0.0753, aux.acc_seg: 92.1468, loss: 0.1947 2024-03-05 13:26:48,641 - mmseg - INFO - Iter [140300/160000] lr: 4.240e-06, eta: 3:50:57, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1171, decode.acc_seg: 94.7755, aux.loss_ce: 0.0706, aux.acc_seg: 92.7494, loss: 0.1878 2024-03-05 13:27:23,145 - mmseg - INFO - Iter [140350/160000] lr: 4.230e-06, eta: 3:50:22, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1205, decode.acc_seg: 94.6222, aux.loss_ce: 0.0755, aux.acc_seg: 92.1803, loss: 0.1960 2024-03-05 13:27:57,535 - mmseg - INFO - Iter [140400/160000] lr: 4.219e-06, eta: 3:49:47, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1257, decode.acc_seg: 94.4463, aux.loss_ce: 0.0764, aux.acc_seg: 92.2221, loss: 0.2021 2024-03-05 13:28:31,963 - mmseg - INFO - Iter [140450/160000] lr: 4.208e-06, eta: 3:49:11, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1169, decode.acc_seg: 94.7025, aux.loss_ce: 0.0751, aux.acc_seg: 92.1601, loss: 0.1920 2024-03-05 13:29:06,532 - mmseg - INFO - Iter [140500/160000] lr: 4.197e-06, eta: 3:48:36, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1274, decode.acc_seg: 94.4738, aux.loss_ce: 0.0790, aux.acc_seg: 92.0963, loss: 0.2064 2024-03-05 13:29:40,917 - mmseg - INFO - Iter [140550/160000] lr: 4.187e-06, eta: 3:48:01, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1167, decode.acc_seg: 94.7602, aux.loss_ce: 0.0720, aux.acc_seg: 92.5786, loss: 0.1887 2024-03-05 13:30:15,064 - mmseg - INFO - Iter [140600/160000] lr: 4.176e-06, eta: 3:47:25, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1212, decode.acc_seg: 94.5885, aux.loss_ce: 0.0769, aux.acc_seg: 92.1054, loss: 0.1980 2024-03-05 13:30:49,441 - mmseg - INFO - Iter [140650/160000] lr: 4.165e-06, eta: 3:46:50, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1188, decode.acc_seg: 94.5781, aux.loss_ce: 0.0765, aux.acc_seg: 92.0328, loss: 0.1953 2024-03-05 13:31:23,741 - mmseg - INFO - Iter [140700/160000] lr: 4.154e-06, eta: 3:46:15, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1201, decode.acc_seg: 94.6114, aux.loss_ce: 0.0765, aux.acc_seg: 92.0627, loss: 0.1966 2024-03-05 13:31:58,385 - mmseg - INFO - Iter [140750/160000] lr: 4.143e-06, eta: 3:45:40, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1251, decode.acc_seg: 94.4948, aux.loss_ce: 0.0769, aux.acc_seg: 92.1328, loss: 0.2019 2024-03-05 13:32:33,005 - mmseg - INFO - Iter [140800/160000] lr: 4.133e-06, eta: 3:45:04, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1194, decode.acc_seg: 94.6666, aux.loss_ce: 0.0737, aux.acc_seg: 92.4192, loss: 0.1931 2024-03-05 13:33:07,606 - mmseg - INFO - Iter [140850/160000] lr: 4.122e-06, eta: 3:44:29, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1315, decode.acc_seg: 94.3706, aux.loss_ce: 0.0813, aux.acc_seg: 91.8840, loss: 0.2128 2024-03-05 13:33:42,208 - mmseg - INFO - Iter [140900/160000] lr: 4.111e-06, eta: 3:43:54, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1149, decode.acc_seg: 94.8538, aux.loss_ce: 0.0720, aux.acc_seg: 92.5819, loss: 0.1869 2024-03-05 13:34:16,856 - mmseg - INFO - Iter [140950/160000] lr: 4.100e-06, eta: 3:43:19, time: 0.693, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1239, decode.acc_seg: 94.5009, aux.loss_ce: 0.0790, aux.acc_seg: 91.9263, loss: 0.2029 2024-03-05 13:34:51,195 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 13:34:51,195 - mmseg - INFO - Iter [141000/160000] lr: 4.090e-06, eta: 3:42:43, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1302, decode.acc_seg: 94.3363, aux.loss_ce: 0.0837, aux.acc_seg: 91.5394, loss: 0.2139 2024-03-05 13:35:25,672 - mmseg - INFO - Iter [141050/160000] lr: 4.079e-06, eta: 3:42:08, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1202, decode.acc_seg: 94.5825, aux.loss_ce: 0.0738, aux.acc_seg: 92.4337, loss: 0.1940 2024-03-05 13:36:00,230 - mmseg - INFO - Iter [141100/160000] lr: 4.068e-06, eta: 3:41:33, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1211, decode.acc_seg: 94.5820, aux.loss_ce: 0.0752, aux.acc_seg: 92.3160, loss: 0.1962 2024-03-05 13:36:34,462 - mmseg - INFO - Iter [141150/160000] lr: 4.057e-06, eta: 3:40:58, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1206, decode.acc_seg: 94.4765, aux.loss_ce: 0.0750, aux.acc_seg: 92.0130, loss: 0.1956 2024-03-05 13:37:08,714 - mmseg - INFO - Iter [141200/160000] lr: 4.047e-06, eta: 3:40:22, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1197, decode.acc_seg: 94.6808, aux.loss_ce: 0.0766, aux.acc_seg: 92.1258, loss: 0.1963 2024-03-05 13:37:42,983 - mmseg - INFO - Iter [141250/160000] lr: 4.036e-06, eta: 3:39:47, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1277, decode.acc_seg: 94.1546, aux.loss_ce: 0.0796, aux.acc_seg: 91.6624, loss: 0.2073 2024-03-05 13:38:17,347 - mmseg - INFO - Iter [141300/160000] lr: 4.025e-06, eta: 3:39:12, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1238, decode.acc_seg: 94.4759, aux.loss_ce: 0.0768, aux.acc_seg: 92.1538, loss: 0.2006 2024-03-05 13:38:51,766 - mmseg - INFO - Iter [141350/160000] lr: 4.014e-06, eta: 3:38:36, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1242, decode.acc_seg: 94.4955, aux.loss_ce: 0.0799, aux.acc_seg: 91.6972, loss: 0.2041 2024-03-05 13:39:26,282 - mmseg - INFO - Iter [141400/160000] lr: 4.004e-06, eta: 3:38:01, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1205, decode.acc_seg: 94.6029, aux.loss_ce: 0.0762, aux.acc_seg: 92.1662, loss: 0.1967 2024-03-05 13:40:00,807 - mmseg - INFO - Iter [141450/160000] lr: 3.993e-06, eta: 3:37:26, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1273, decode.acc_seg: 94.4607, aux.loss_ce: 0.0803, aux.acc_seg: 91.9401, loss: 0.2076 2024-03-05 13:40:38,107 - mmseg - INFO - Iter [141500/160000] lr: 3.982e-06, eta: 3:36:51, time: 0.746, data_time: 0.055, memory: 9361, decode.loss_ce: 0.1217, decode.acc_seg: 94.5347, aux.loss_ce: 0.0773, aux.acc_seg: 92.0428, loss: 0.1990 2024-03-05 13:41:12,619 - mmseg - INFO - Iter [141550/160000] lr: 3.971e-06, eta: 3:36:16, time: 0.691, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1211, decode.acc_seg: 94.5617, aux.loss_ce: 0.0768, aux.acc_seg: 92.0491, loss: 0.1979 2024-03-05 13:41:47,066 - mmseg - INFO - Iter [141600/160000] lr: 3.961e-06, eta: 3:35:41, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1164, decode.acc_seg: 94.7192, aux.loss_ce: 0.0729, aux.acc_seg: 92.3572, loss: 0.1893 2024-03-05 13:42:21,657 - mmseg - INFO - Iter [141650/160000] lr: 3.950e-06, eta: 3:35:05, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1192, decode.acc_seg: 94.6062, aux.loss_ce: 0.0765, aux.acc_seg: 91.9271, loss: 0.1957 2024-03-05 13:42:56,104 - mmseg - INFO - Iter [141700/160000] lr: 3.939e-06, eta: 3:34:30, time: 0.689, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1226, decode.acc_seg: 94.5636, aux.loss_ce: 0.0787, aux.acc_seg: 92.1843, loss: 0.2012 2024-03-05 13:43:30,534 - mmseg - INFO - Iter [141750/160000] lr: 3.928e-06, eta: 3:33:55, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1200, decode.acc_seg: 94.6231, aux.loss_ce: 0.0733, aux.acc_seg: 92.4991, loss: 0.1934 2024-03-05 13:44:05,007 - mmseg - INFO - Iter [141800/160000] lr: 3.917e-06, eta: 3:33:19, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1253, decode.acc_seg: 94.3393, aux.loss_ce: 0.0797, aux.acc_seg: 91.9014, loss: 0.2049 2024-03-05 13:44:39,497 - mmseg - INFO - Iter [141850/160000] lr: 3.907e-06, eta: 3:32:44, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1199, decode.acc_seg: 94.6261, aux.loss_ce: 0.0771, aux.acc_seg: 92.0941, loss: 0.1970 2024-03-05 13:45:14,014 - mmseg - INFO - Iter [141900/160000] lr: 3.896e-06, eta: 3:32:09, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1194, decode.acc_seg: 94.6552, aux.loss_ce: 0.0763, aux.acc_seg: 92.1512, loss: 0.1957 2024-03-05 13:45:48,420 - mmseg - INFO - Iter [141950/160000] lr: 3.885e-06, eta: 3:31:34, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1248, decode.acc_seg: 94.4749, aux.loss_ce: 0.0799, aux.acc_seg: 91.7789, loss: 0.2047 2024-03-05 13:46:22,932 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 13:46:22,932 - mmseg - INFO - Iter [142000/160000] lr: 3.874e-06, eta: 3:30:58, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1195, decode.acc_seg: 94.7347, aux.loss_ce: 0.0778, aux.acc_seg: 92.1681, loss: 0.1973 2024-03-05 13:46:57,521 - mmseg - INFO - Iter [142050/160000] lr: 3.864e-06, eta: 3:30:23, time: 0.692, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1243, decode.acc_seg: 94.5385, aux.loss_ce: 0.0799, aux.acc_seg: 91.9694, loss: 0.2043 2024-03-05 13:47:32,134 - mmseg - INFO - Iter [142100/160000] lr: 3.853e-06, eta: 3:29:48, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1171, decode.acc_seg: 94.7572, aux.loss_ce: 0.0732, aux.acc_seg: 92.4438, loss: 0.1903 2024-03-05 13:48:06,507 - mmseg - INFO - Iter [142150/160000] lr: 3.842e-06, eta: 3:29:13, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1273, decode.acc_seg: 94.2620, aux.loss_ce: 0.0783, aux.acc_seg: 91.8695, loss: 0.2056 2024-03-05 13:48:41,037 - mmseg - INFO - Iter [142200/160000] lr: 3.831e-06, eta: 3:28:38, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1272, decode.acc_seg: 94.3355, aux.loss_ce: 0.0805, aux.acc_seg: 91.7473, loss: 0.2077 2024-03-05 13:49:15,700 - mmseg - INFO - Iter [142250/160000] lr: 3.821e-06, eta: 3:28:02, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1142, decode.acc_seg: 94.7541, aux.loss_ce: 0.0725, aux.acc_seg: 92.3329, loss: 0.1867 2024-03-05 13:49:50,246 - mmseg - INFO - Iter [142300/160000] lr: 3.810e-06, eta: 3:27:27, time: 0.691, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1159, decode.acc_seg: 94.9128, aux.loss_ce: 0.0719, aux.acc_seg: 92.6824, loss: 0.1879 2024-03-05 13:50:24,801 - mmseg - INFO - Iter [142350/160000] lr: 3.799e-06, eta: 3:26:52, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1189, decode.acc_seg: 94.6175, aux.loss_ce: 0.0744, aux.acc_seg: 92.3302, loss: 0.1933 2024-03-05 13:50:59,054 - mmseg - INFO - Iter [142400/160000] lr: 3.788e-06, eta: 3:26:17, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1263, decode.acc_seg: 94.4094, aux.loss_ce: 0.0792, aux.acc_seg: 91.8867, loss: 0.2055 2024-03-05 13:51:33,714 - mmseg - INFO - Iter [142450/160000] lr: 3.778e-06, eta: 3:25:41, time: 0.693, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1273, decode.acc_seg: 94.2136, aux.loss_ce: 0.0805, aux.acc_seg: 91.6105, loss: 0.2078 2024-03-05 13:52:08,125 - mmseg - INFO - Iter [142500/160000] lr: 3.767e-06, eta: 3:25:06, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1174, decode.acc_seg: 94.8310, aux.loss_ce: 0.0762, aux.acc_seg: 92.2988, loss: 0.1937 2024-03-05 13:52:42,545 - mmseg - INFO - Iter [142550/160000] lr: 3.756e-06, eta: 3:24:31, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1207, decode.acc_seg: 94.5317, aux.loss_ce: 0.0756, aux.acc_seg: 92.1617, loss: 0.1963 2024-03-05 13:53:17,181 - mmseg - INFO - Iter [142600/160000] lr: 3.745e-06, eta: 3:23:56, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1186, decode.acc_seg: 94.7149, aux.loss_ce: 0.0733, aux.acc_seg: 92.5130, loss: 0.1919 2024-03-05 13:53:51,730 - mmseg - INFO - Iter [142650/160000] lr: 3.735e-06, eta: 3:23:20, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1209, decode.acc_seg: 94.6171, aux.loss_ce: 0.0767, aux.acc_seg: 92.0820, loss: 0.1976 2024-03-05 13:54:26,360 - mmseg - INFO - Iter [142700/160000] lr: 3.724e-06, eta: 3:22:45, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1189, decode.acc_seg: 94.6791, aux.loss_ce: 0.0761, aux.acc_seg: 92.0214, loss: 0.1950 2024-03-05 13:55:03,691 - mmseg - INFO - Iter [142750/160000] lr: 3.713e-06, eta: 3:22:10, time: 0.747, data_time: 0.062, memory: 9361, decode.loss_ce: 0.1249, decode.acc_seg: 94.4179, aux.loss_ce: 0.0768, aux.acc_seg: 92.1076, loss: 0.2017 2024-03-05 13:55:37,972 - mmseg - INFO - Iter [142800/160000] lr: 3.702e-06, eta: 3:21:35, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1198, decode.acc_seg: 94.5985, aux.loss_ce: 0.0758, aux.acc_seg: 92.1244, loss: 0.1956 2024-03-05 13:56:12,313 - mmseg - INFO - Iter [142850/160000] lr: 3.691e-06, eta: 3:21:00, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1178, decode.acc_seg: 94.7411, aux.loss_ce: 0.0742, aux.acc_seg: 92.4127, loss: 0.1920 2024-03-05 13:56:46,910 - mmseg - INFO - Iter [142900/160000] lr: 3.681e-06, eta: 3:20:24, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1158, decode.acc_seg: 94.8979, aux.loss_ce: 0.0736, aux.acc_seg: 92.5034, loss: 0.1894 2024-03-05 13:57:21,428 - mmseg - INFO - Iter [142950/160000] lr: 3.670e-06, eta: 3:19:49, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1253, decode.acc_seg: 94.3531, aux.loss_ce: 0.0807, aux.acc_seg: 91.5791, loss: 0.2060 2024-03-05 13:57:55,935 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 13:57:55,936 - mmseg - INFO - Iter [143000/160000] lr: 3.659e-06, eta: 3:19:14, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1181, decode.acc_seg: 94.6771, aux.loss_ce: 0.0755, aux.acc_seg: 92.2002, loss: 0.1936 2024-03-05 13:58:30,596 - mmseg - INFO - Iter [143050/160000] lr: 3.648e-06, eta: 3:18:39, time: 0.693, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1207, decode.acc_seg: 94.6113, aux.loss_ce: 0.0747, aux.acc_seg: 92.1789, loss: 0.1953 2024-03-05 13:59:05,196 - mmseg - INFO - Iter [143100/160000] lr: 3.638e-06, eta: 3:18:04, time: 0.692, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1250, decode.acc_seg: 94.5536, aux.loss_ce: 0.0758, aux.acc_seg: 92.2710, loss: 0.2008 2024-03-05 13:59:39,622 - mmseg - INFO - Iter [143150/160000] lr: 3.627e-06, eta: 3:17:28, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1163, decode.acc_seg: 94.6345, aux.loss_ce: 0.0752, aux.acc_seg: 92.0221, loss: 0.1915 2024-03-05 14:00:14,129 - mmseg - INFO - Iter [143200/160000] lr: 3.616e-06, eta: 3:16:53, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1206, decode.acc_seg: 94.6070, aux.loss_ce: 0.0766, aux.acc_seg: 92.0582, loss: 0.1972 2024-03-05 14:00:48,494 - mmseg - INFO - Iter [143250/160000] lr: 3.605e-06, eta: 3:16:18, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1182, decode.acc_seg: 94.6249, aux.loss_ce: 0.0726, aux.acc_seg: 92.4220, loss: 0.1908 2024-03-05 14:01:22,894 - mmseg - INFO - Iter [143300/160000] lr: 3.595e-06, eta: 3:15:43, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1195, decode.acc_seg: 94.7748, aux.loss_ce: 0.0752, aux.acc_seg: 92.3428, loss: 0.1948 2024-03-05 14:01:57,220 - mmseg - INFO - Iter [143350/160000] lr: 3.584e-06, eta: 3:15:07, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1220, decode.acc_seg: 94.6734, aux.loss_ce: 0.0763, aux.acc_seg: 92.3852, loss: 0.1983 2024-03-05 14:02:31,526 - mmseg - INFO - Iter [143400/160000] lr: 3.573e-06, eta: 3:14:32, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1286, decode.acc_seg: 94.2830, aux.loss_ce: 0.0806, aux.acc_seg: 91.7935, loss: 0.2091 2024-03-05 14:03:05,840 - mmseg - INFO - Iter [143450/160000] lr: 3.562e-06, eta: 3:13:57, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1167, decode.acc_seg: 94.6706, aux.loss_ce: 0.0741, aux.acc_seg: 92.2934, loss: 0.1907 2024-03-05 14:03:40,598 - mmseg - INFO - Iter [143500/160000] lr: 3.552e-06, eta: 3:13:22, time: 0.695, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1169, decode.acc_seg: 94.7329, aux.loss_ce: 0.0750, aux.acc_seg: 92.2394, loss: 0.1919 2024-03-05 14:04:14,965 - mmseg - INFO - Iter [143550/160000] lr: 3.541e-06, eta: 3:12:46, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1258, decode.acc_seg: 94.4116, aux.loss_ce: 0.0745, aux.acc_seg: 92.2228, loss: 0.2003 2024-03-05 14:04:49,471 - mmseg - INFO - Iter [143600/160000] lr: 3.530e-06, eta: 3:12:11, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1180, decode.acc_seg: 94.5978, aux.loss_ce: 0.0734, aux.acc_seg: 92.3642, loss: 0.1914 2024-03-05 14:05:24,004 - mmseg - INFO - Iter [143650/160000] lr: 3.519e-06, eta: 3:11:36, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1156, decode.acc_seg: 94.8371, aux.loss_ce: 0.0738, aux.acc_seg: 92.3630, loss: 0.1893 2024-03-05 14:05:58,475 - mmseg - INFO - Iter [143700/160000] lr: 3.509e-06, eta: 3:11:01, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1260, decode.acc_seg: 94.5306, aux.loss_ce: 0.0783, aux.acc_seg: 92.2148, loss: 0.2042 2024-03-05 14:06:32,995 - mmseg - INFO - Iter [143750/160000] lr: 3.498e-06, eta: 3:10:25, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1175, decode.acc_seg: 94.7403, aux.loss_ce: 0.0740, aux.acc_seg: 92.3801, loss: 0.1915 2024-03-05 14:07:07,372 - mmseg - INFO - Iter [143800/160000] lr: 3.487e-06, eta: 3:09:50, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1186, decode.acc_seg: 94.6444, aux.loss_ce: 0.0752, aux.acc_seg: 92.2637, loss: 0.1938 2024-03-05 14:07:41,558 - mmseg - INFO - Iter [143850/160000] lr: 3.476e-06, eta: 3:09:15, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1201, decode.acc_seg: 94.5977, aux.loss_ce: 0.0774, aux.acc_seg: 91.9231, loss: 0.1975 2024-03-05 14:08:16,097 - mmseg - INFO - Iter [143900/160000] lr: 3.465e-06, eta: 3:08:40, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1240, decode.acc_seg: 94.4720, aux.loss_ce: 0.0772, aux.acc_seg: 92.0808, loss: 0.2012 2024-03-05 14:08:50,683 - mmseg - INFO - Iter [143950/160000] lr: 3.455e-06, eta: 3:08:04, time: 0.692, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1222, decode.acc_seg: 94.5221, aux.loss_ce: 0.0775, aux.acc_seg: 91.9849, loss: 0.1997 2024-03-05 14:09:28,258 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 14:09:28,258 - mmseg - INFO - Iter [144000/160000] lr: 3.444e-06, eta: 3:07:30, time: 0.751, data_time: 0.073, memory: 9361, decode.loss_ce: 0.1224, decode.acc_seg: 94.5031, aux.loss_ce: 0.0763, aux.acc_seg: 92.1368, loss: 0.1987 2024-03-05 14:12:38,585 - mmseg - INFO - per class results: 2024-03-05 14:12:38,594 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.08 | 89.42 | | building | 82.56 | 92.49 | | sky | 94.4 | 97.6 | | floor | 81.01 | 91.52 | | tree | 74.24 | 87.2 | | ceiling | 83.2 | 92.1 | | road | 83.9 | 90.49 | | bed | 89.6 | 95.83 | | windowpane | 63.79 | 79.54 | | grass | 66.96 | 82.27 | | cabinet | 60.62 | 72.91 | | sidewalk | 64.69 | 82.36 | | person | 81.49 | 93.31 | | earth | 38.36 | 52.46 | | door | 48.23 | 59.76 | | table | 63.22 | 78.9 | | mountain | 59.93 | 74.9 | | plant | 50.31 | 63.17 | | curtain | 74.74 | 86.62 | | chair | 59.14 | 72.28 | | car | 85.5 | 92.14 | | water | 50.29 | 66.56 | | painting | 74.01 | 87.69 | | sofa | 70.51 | 85.98 | | shelf | 45.47 | 66.22 | | house | 42.19 | 55.89 | | sea | 49.32 | 71.9 | | mirror | 65.43 | 73.7 | | rug | 51.69 | 61.35 | | field | 27.26 | 42.96 | | armchair | 45.43 | 63.45 | | seat | 62.61 | 81.68 | | fence | 45.17 | 57.92 | | desk | 55.37 | 74.68 | | rock | 41.4 | 66.02 | | wardrobe | 46.76 | 64.54 | | lamp | 66.97 | 78.7 | | bathtub | 78.4 | 85.05 | | railing | 33.57 | 45.48 | | cushion | 57.68 | 71.22 | | base | 26.31 | 33.1 | | box | 27.29 | 33.16 | | column | 43.97 | 53.21 | | signboard | 36.53 | 51.25 | | chest of drawers | 43.08 | 55.86 | | counter | 32.91 | 42.53 | | sand | 44.33 | 57.95 | | sink | 73.43 | 81.0 | | skyscraper | 55.41 | 71.19 | | fireplace | 74.6 | 86.39 | | refrigerator | 72.7 | 81.69 | | grandstand | 42.9 | 67.47 | | path | 11.94 | 17.36 | | stairs | 30.54 | 38.2 | | runway | 69.68 | 93.12 | | case | 47.89 | 58.2 | | pool table | 92.66 | 95.84 | | pillow | 55.48 | 65.2 | | screen door | 75.86 | 78.52 | | stairway | 31.01 | 37.22 | | river | 11.52 | 20.47 | | bridge | 56.59 | 62.84 | | bookcase | 40.88 | 52.75 | | blind | 46.38 | 49.25 | | coffee table | 62.3 | 80.09 | | toilet | 86.39 | 91.69 | | flower | 40.92 | 58.49 | | book | 46.97 | 68.98 | | hill | 5.6 | 8.55 | | bench | 44.41 | 53.09 | | countertop | 50.62 | 64.93 | | stove | 77.54 | 83.44 | | palm | 51.0 | 80.42 | | kitchen island | 48.09 | 69.96 | | computer | 70.18 | 78.34 | | swivel chair | 44.42 | 61.92 | | boat | 73.76 | 85.64 | | bar | 30.85 | 38.72 | | arcade machine | 45.61 | 47.94 | | hovel | 38.09 | 44.02 | | bus | 87.27 | 96.62 | | towel | 64.32 | 73.76 | | light | 56.49 | 65.16 | | truck | 37.87 | 45.69 | | tower | 42.86 | 62.78 | | chandelier | 67.27 | 85.27 | | awning | 18.6 | 22.18 | | streetlight | 29.96 | 38.29 | | booth | 53.54 | 63.05 | | television receiver | 71.35 | 82.28 | | airplane | 47.25 | 68.52 | | dirt track | 12.99 | 18.97 | | apparel | 40.96 | 56.8 | | pole | 25.16 | 36.24 | | land | 4.58 | 5.74 | | bannister | 15.71 | 21.51 | | escalator | 29.05 | 33.28 | | ottoman | 48.01 | 64.14 | | bottle | 35.02 | 52.22 | | buffet | 35.43 | 40.98 | | poster | 31.6 | 37.44 | | stage | 22.14 | 29.28 | | van | 44.21 | 60.92 | | ship | 78.67 | 81.4 | | fountain | 20.59 | 20.72 | | conveyer belt | 59.4 | 90.55 | | canopy | 20.81 | 27.22 | | washer | 69.57 | 70.29 | | plaything | 25.4 | 35.38 | | swimming pool | 33.59 | 49.98 | | stool | 37.76 | 55.78 | | barrel | 46.74 | 75.21 | | basket | 32.49 | 40.7 | | waterfall | 59.32 | 75.52 | | tent | 95.16 | 98.37 | | bag | 16.48 | 19.26 | | minibike | 69.52 | 84.07 | | cradle | 66.96 | 82.25 | | oven | 51.46 | 68.9 | | ball | 47.81 | 67.29 | | food | 44.85 | 54.22 | | step | 17.68 | 23.05 | | tank | 51.71 | 55.46 | | trade name | 23.28 | 27.02 | | microwave | 38.08 | 41.36 | | pot | 39.96 | 46.84 | | animal | 60.38 | 62.46 | | bicycle | 53.33 | 73.96 | | lake | 53.13 | 63.34 | | dishwasher | 72.73 | 76.69 | | screen | 58.15 | 73.15 | | blanket | 16.3 | 18.31 | | sculpture | 62.99 | 75.64 | | hood | 57.3 | 70.34 | | sconce | 47.86 | 59.66 | | vase | 39.0 | 55.71 | | traffic light | 34.59 | 49.88 | | tray | 9.5 | 23.03 | | ashcan | 43.43 | 58.74 | | fan | 62.79 | 76.92 | | pier | 37.38 | 49.41 | | crt screen | 6.54 | 15.75 | | plate | 49.97 | 71.15 | | monitor | 17.79 | 27.94 | | bulletin board | 51.42 | 61.08 | | shower | 10.8 | 12.38 | | radiator | 59.63 | 67.55 | | glass | 16.65 | 18.12 | | clock | 39.65 | 46.45 | | flag | 31.35 | 34.23 | +---------------------+-------+-------+ 2024-03-05 14:12:38,594 - mmseg - INFO - Summary: 2024-03-05 14:12:38,595 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.22 | 49.44 | 60.81 | +-------+-------+-------+ 2024-03-05 14:12:38,605 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 14:12:38,606 - mmseg - INFO - Iter(val) [500] aAcc: 0.8322, mIoU: 0.4944, mAcc: 0.6081, IoU.wall: 0.7808, IoU.building: 0.8256, IoU.sky: 0.9440, IoU.floor: 0.8101, IoU.tree: 0.7424, IoU.ceiling: 0.8320, IoU.road: 0.8390, IoU.bed : 0.8960, IoU.windowpane: 0.6379, IoU.grass: 0.6696, IoU.cabinet: 0.6062, IoU.sidewalk: 0.6469, IoU.person: 0.8149, IoU.earth: 0.3836, IoU.door: 0.4823, IoU.table: 0.6322, IoU.mountain: 0.5993, IoU.plant: 0.5031, IoU.curtain: 0.7474, IoU.chair: 0.5914, IoU.car: 0.8550, IoU.water: 0.5029, IoU.painting: 0.7401, IoU.sofa: 0.7051, IoU.shelf: 0.4547, IoU.house: 0.4219, IoU.sea: 0.4932, IoU.mirror: 0.6543, IoU.rug: 0.5169, IoU.field: 0.2726, IoU.armchair: 0.4543, IoU.seat: 0.6261, IoU.fence: 0.4517, IoU.desk: 0.5537, IoU.rock: 0.4140, IoU.wardrobe: 0.4676, IoU.lamp: 0.6697, IoU.bathtub: 0.7840, IoU.railing: 0.3357, IoU.cushion: 0.5768, IoU.base: 0.2631, IoU.box: 0.2729, IoU.column: 0.4397, IoU.signboard: 0.3653, IoU.chest of drawers: 0.4308, IoU.counter: 0.3291, IoU.sand: 0.4433, IoU.sink: 0.7343, IoU.skyscraper: 0.5541, IoU.fireplace: 0.7460, IoU.refrigerator: 0.7270, IoU.grandstand: 0.4290, IoU.path: 0.1194, IoU.stairs: 0.3054, IoU.runway: 0.6968, IoU.case: 0.4789, IoU.pool table: 0.9266, IoU.pillow: 0.5548, IoU.screen door: 0.7586, IoU.stairway: 0.3101, IoU.river: 0.1152, IoU.bridge: 0.5659, IoU.bookcase: 0.4088, IoU.blind: 0.4638, IoU.coffee table: 0.6230, IoU.toilet: 0.8639, IoU.flower: 0.4092, IoU.book: 0.4697, IoU.hill: 0.0560, IoU.bench: 0.4441, IoU.countertop: 0.5062, IoU.stove: 0.7754, IoU.palm: 0.5100, IoU.kitchen island: 0.4809, IoU.computer: 0.7018, IoU.swivel chair: 0.4442, IoU.boat: 0.7376, IoU.bar: 0.3085, IoU.arcade machine: 0.4561, IoU.hovel: 0.3809, IoU.bus: 0.8727, IoU.towel: 0.6432, IoU.light: 0.5649, IoU.truck: 0.3787, IoU.tower: 0.4286, IoU.chandelier: 0.6727, IoU.awning: 0.1860, IoU.streetlight: 0.2996, IoU.booth: 0.5354, IoU.television receiver: 0.7135, IoU.airplane: 0.4725, IoU.dirt track: 0.1299, IoU.apparel: 0.4096, IoU.pole: 0.2516, IoU.land: 0.0458, IoU.bannister: 0.1571, IoU.escalator: 0.2905, IoU.ottoman: 0.4801, IoU.bottle: 0.3502, IoU.buffet: 0.3543, IoU.poster: 0.3160, IoU.stage: 0.2214, IoU.van: 0.4421, IoU.ship: 0.7867, IoU.fountain: 0.2059, IoU.conveyer belt: 0.5940, IoU.canopy: 0.2081, IoU.washer: 0.6957, IoU.plaything: 0.2540, IoU.swimming pool: 0.3359, IoU.stool: 0.3776, IoU.barrel: 0.4674, IoU.basket: 0.3249, IoU.waterfall: 0.5932, IoU.tent: 0.9516, IoU.bag: 0.1648, IoU.minibike: 0.6952, IoU.cradle: 0.6696, IoU.oven: 0.5146, IoU.ball: 0.4781, IoU.food: 0.4485, IoU.step: 0.1768, IoU.tank: 0.5171, IoU.trade name: 0.2328, IoU.microwave: 0.3808, IoU.pot: 0.3996, IoU.animal: 0.6038, IoU.bicycle: 0.5333, IoU.lake: 0.5313, IoU.dishwasher: 0.7273, IoU.screen: 0.5815, IoU.blanket: 0.1630, IoU.sculpture: 0.6299, IoU.hood: 0.5730, IoU.sconce: 0.4786, IoU.vase: 0.3900, IoU.traffic light: 0.3459, IoU.tray: 0.0950, IoU.ashcan: 0.4343, IoU.fan: 0.6279, IoU.pier: 0.3738, IoU.crt screen: 0.0654, IoU.plate: 0.4997, IoU.monitor: 0.1779, IoU.bulletin board: 0.5142, IoU.shower: 0.1080, IoU.radiator: 0.5963, IoU.glass: 0.1665, IoU.clock: 0.3965, IoU.flag: 0.3135, Acc.wall: 0.8942, Acc.building: 0.9249, Acc.sky: 0.9760, Acc.floor: 0.9152, Acc.tree: 0.8720, Acc.ceiling: 0.9210, Acc.road: 0.9049, Acc.bed : 0.9583, Acc.windowpane: 0.7954, Acc.grass: 0.8227, Acc.cabinet: 0.7291, Acc.sidewalk: 0.8236, Acc.person: 0.9331, Acc.earth: 0.5246, Acc.door: 0.5976, Acc.table: 0.7890, Acc.mountain: 0.7490, Acc.plant: 0.6317, Acc.curtain: 0.8662, Acc.chair: 0.7228, Acc.car: 0.9214, Acc.water: 0.6656, Acc.painting: 0.8769, Acc.sofa: 0.8598, Acc.shelf: 0.6622, Acc.house: 0.5589, Acc.sea: 0.7190, Acc.mirror: 0.7370, Acc.rug: 0.6135, Acc.field: 0.4296, Acc.armchair: 0.6345, Acc.seat: 0.8168, Acc.fence: 0.5792, Acc.desk: 0.7468, Acc.rock: 0.6602, Acc.wardrobe: 0.6454, Acc.lamp: 0.7870, Acc.bathtub: 0.8505, Acc.railing: 0.4548, Acc.cushion: 0.7122, Acc.base: 0.3310, Acc.box: 0.3316, Acc.column: 0.5321, Acc.signboard: 0.5125, Acc.chest of drawers: 0.5586, Acc.counter: 0.4253, Acc.sand: 0.5795, Acc.sink: 0.8100, Acc.skyscraper: 0.7119, Acc.fireplace: 0.8639, Acc.refrigerator: 0.8169, Acc.grandstand: 0.6747, Acc.path: 0.1736, Acc.stairs: 0.3820, Acc.runway: 0.9312, Acc.case: 0.5820, Acc.pool table: 0.9584, Acc.pillow: 0.6520, Acc.screen door: 0.7852, Acc.stairway: 0.3722, Acc.river: 0.2047, Acc.bridge: 0.6284, Acc.bookcase: 0.5275, Acc.blind: 0.4925, Acc.coffee table: 0.8009, Acc.toilet: 0.9169, Acc.flower: 0.5849, Acc.book: 0.6898, Acc.hill: 0.0855, Acc.bench: 0.5309, Acc.countertop: 0.6493, Acc.stove: 0.8344, Acc.palm: 0.8042, Acc.kitchen island: 0.6996, Acc.computer: 0.7834, Acc.swivel chair: 0.6192, Acc.boat: 0.8564, Acc.bar: 0.3872, Acc.arcade machine: 0.4794, Acc.hovel: 0.4402, Acc.bus: 0.9662, Acc.towel: 0.7376, Acc.light: 0.6516, Acc.truck: 0.4569, Acc.tower: 0.6278, Acc.chandelier: 0.8527, Acc.awning: 0.2218, Acc.streetlight: 0.3829, Acc.booth: 0.6305, Acc.television receiver: 0.8228, Acc.airplane: 0.6852, Acc.dirt track: 0.1897, Acc.apparel: 0.5680, Acc.pole: 0.3624, Acc.land: 0.0574, Acc.bannister: 0.2151, Acc.escalator: 0.3328, Acc.ottoman: 0.6414, Acc.bottle: 0.5222, Acc.buffet: 0.4098, Acc.poster: 0.3744, Acc.stage: 0.2928, Acc.van: 0.6092, Acc.ship: 0.8140, Acc.fountain: 0.2072, Acc.conveyer belt: 0.9055, Acc.canopy: 0.2722, Acc.washer: 0.7029, Acc.plaything: 0.3538, Acc.swimming pool: 0.4998, Acc.stool: 0.5578, Acc.barrel: 0.7521, Acc.basket: 0.4070, Acc.waterfall: 0.7552, Acc.tent: 0.9837, Acc.bag: 0.1926, Acc.minibike: 0.8407, Acc.cradle: 0.8225, Acc.oven: 0.6890, Acc.ball: 0.6729, Acc.food: 0.5422, Acc.step: 0.2305, Acc.tank: 0.5546, Acc.trade name: 0.2702, Acc.microwave: 0.4136, Acc.pot: 0.4684, Acc.animal: 0.6246, Acc.bicycle: 0.7396, Acc.lake: 0.6334, Acc.dishwasher: 0.7669, Acc.screen: 0.7315, Acc.blanket: 0.1831, Acc.sculpture: 0.7564, Acc.hood: 0.7034, Acc.sconce: 0.5966, Acc.vase: 0.5571, Acc.traffic light: 0.4988, Acc.tray: 0.2303, Acc.ashcan: 0.5874, Acc.fan: 0.7692, Acc.pier: 0.4941, Acc.crt screen: 0.1575, Acc.plate: 0.7115, Acc.monitor: 0.2794, Acc.bulletin board: 0.6108, Acc.shower: 0.1238, Acc.radiator: 0.6755, Acc.glass: 0.1812, Acc.clock: 0.4645, Acc.flag: 0.3423 2024-03-05 14:13:13,090 - mmseg - INFO - Iter [144050/160000] lr: 3.433e-06, eta: 3:07:15, time: 4.497, data_time: 3.816, memory: 9361, decode.loss_ce: 0.1169, decode.acc_seg: 94.7277, aux.loss_ce: 0.0735, aux.acc_seg: 92.3709, loss: 0.1904 2024-03-05 14:13:47,608 - mmseg - INFO - Iter [144100/160000] lr: 3.422e-06, eta: 3:06:40, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1232, decode.acc_seg: 94.6030, aux.loss_ce: 0.0759, aux.acc_seg: 92.3332, loss: 0.1991 2024-03-05 14:14:22,083 - mmseg - INFO - Iter [144150/160000] lr: 3.412e-06, eta: 3:06:05, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1193, decode.acc_seg: 94.6529, aux.loss_ce: 0.0747, aux.acc_seg: 92.2582, loss: 0.1940 2024-03-05 14:14:56,746 - mmseg - INFO - Iter [144200/160000] lr: 3.401e-06, eta: 3:05:30, time: 0.693, data_time: 0.013, memory: 9361, decode.loss_ce: 0.1277, decode.acc_seg: 94.3787, aux.loss_ce: 0.0776, aux.acc_seg: 92.0219, loss: 0.2052 2024-03-05 14:15:31,239 - mmseg - INFO - Iter [144250/160000] lr: 3.390e-06, eta: 3:04:54, time: 0.690, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1189, decode.acc_seg: 94.7167, aux.loss_ce: 0.0745, aux.acc_seg: 92.2601, loss: 0.1934 2024-03-05 14:16:05,734 - mmseg - INFO - Iter [144300/160000] lr: 3.379e-06, eta: 3:04:19, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1221, decode.acc_seg: 94.5925, aux.loss_ce: 0.0771, aux.acc_seg: 92.2382, loss: 0.1992 2024-03-05 14:16:40,059 - mmseg - INFO - Iter [144350/160000] lr: 3.369e-06, eta: 3:03:44, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1215, decode.acc_seg: 94.5483, aux.loss_ce: 0.0749, aux.acc_seg: 92.3688, loss: 0.1964 2024-03-05 14:17:14,226 - mmseg - INFO - Iter [144400/160000] lr: 3.358e-06, eta: 3:03:08, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1125, decode.acc_seg: 94.8856, aux.loss_ce: 0.0710, aux.acc_seg: 92.4790, loss: 0.1835 2024-03-05 14:17:48,585 - mmseg - INFO - Iter [144450/160000] lr: 3.347e-06, eta: 3:02:33, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1221, decode.acc_seg: 94.3974, aux.loss_ce: 0.0744, aux.acc_seg: 92.0845, loss: 0.1965 2024-03-05 14:18:22,951 - mmseg - INFO - Iter [144500/160000] lr: 3.336e-06, eta: 3:01:58, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1174, decode.acc_seg: 94.7127, aux.loss_ce: 0.0765, aux.acc_seg: 92.0277, loss: 0.1939 2024-03-05 14:18:57,376 - mmseg - INFO - Iter [144550/160000] lr: 3.326e-06, eta: 3:01:22, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1183, decode.acc_seg: 94.7317, aux.loss_ce: 0.0759, aux.acc_seg: 92.1387, loss: 0.1942 2024-03-05 14:19:31,810 - mmseg - INFO - Iter [144600/160000] lr: 3.315e-06, eta: 3:00:47, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1214, decode.acc_seg: 94.6036, aux.loss_ce: 0.0762, aux.acc_seg: 92.2026, loss: 0.1976 2024-03-05 14:20:06,214 - mmseg - INFO - Iter [144650/160000] lr: 3.304e-06, eta: 3:00:12, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1204, decode.acc_seg: 94.6034, aux.loss_ce: 0.0757, aux.acc_seg: 92.1940, loss: 0.1961 2024-03-05 14:20:40,644 - mmseg - INFO - Iter [144700/160000] lr: 3.293e-06, eta: 2:59:36, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1169, decode.acc_seg: 94.7028, aux.loss_ce: 0.0742, aux.acc_seg: 92.4060, loss: 0.1911 2024-03-05 14:21:14,996 - mmseg - INFO - Iter [144750/160000] lr: 3.283e-06, eta: 2:59:01, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1177, decode.acc_seg: 94.7008, aux.loss_ce: 0.0733, aux.acc_seg: 92.3680, loss: 0.1910 2024-03-05 14:21:49,533 - mmseg - INFO - Iter [144800/160000] lr: 3.272e-06, eta: 2:58:26, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1160, decode.acc_seg: 94.7758, aux.loss_ce: 0.0736, aux.acc_seg: 92.4244, loss: 0.1897 2024-03-05 14:22:23,739 - mmseg - INFO - Iter [144850/160000] lr: 3.261e-06, eta: 2:57:51, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1222, decode.acc_seg: 94.5212, aux.loss_ce: 0.0767, aux.acc_seg: 92.0730, loss: 0.1989 2024-03-05 14:22:58,163 - mmseg - INFO - Iter [144900/160000] lr: 3.250e-06, eta: 2:57:15, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1149, decode.acc_seg: 94.8015, aux.loss_ce: 0.0717, aux.acc_seg: 92.4508, loss: 0.1866 2024-03-05 14:23:32,642 - mmseg - INFO - Iter [144950/160000] lr: 3.239e-06, eta: 2:56:40, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1173, decode.acc_seg: 94.6830, aux.loss_ce: 0.0770, aux.acc_seg: 92.1382, loss: 0.1943 2024-03-05 14:24:07,139 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 14:24:07,139 - mmseg - INFO - Iter [145000/160000] lr: 3.229e-06, eta: 2:56:05, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1221, decode.acc_seg: 94.6755, aux.loss_ce: 0.0783, aux.acc_seg: 92.1216, loss: 0.2005 2024-03-05 14:24:41,732 - mmseg - INFO - Iter [145050/160000] lr: 3.218e-06, eta: 2:55:29, time: 0.692, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1178, decode.acc_seg: 94.7493, aux.loss_ce: 0.0740, aux.acc_seg: 92.3536, loss: 0.1918 2024-03-05 14:25:15,983 - mmseg - INFO - Iter [145100/160000] lr: 3.207e-06, eta: 2:54:54, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1134, decode.acc_seg: 94.9588, aux.loss_ce: 0.0711, aux.acc_seg: 92.7195, loss: 0.1845 2024-03-05 14:25:50,175 - mmseg - INFO - Iter [145150/160000] lr: 3.196e-06, eta: 2:54:19, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1194, decode.acc_seg: 94.6290, aux.loss_ce: 0.0751, aux.acc_seg: 92.3491, loss: 0.1945 2024-03-05 14:26:24,629 - mmseg - INFO - Iter [145200/160000] lr: 3.186e-06, eta: 2:53:43, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1237, decode.acc_seg: 94.4750, aux.loss_ce: 0.0782, aux.acc_seg: 91.9307, loss: 0.2019 2024-03-05 14:27:01,961 - mmseg - INFO - Iter [145250/160000] lr: 3.175e-06, eta: 2:53:08, time: 0.747, data_time: 0.062, memory: 9361, decode.loss_ce: 0.1235, decode.acc_seg: 94.5849, aux.loss_ce: 0.0763, aux.acc_seg: 92.1941, loss: 0.1997 2024-03-05 14:27:36,039 - mmseg - INFO - Iter [145300/160000] lr: 3.164e-06, eta: 2:52:33, time: 0.682, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1150, decode.acc_seg: 94.8672, aux.loss_ce: 0.0741, aux.acc_seg: 92.4191, loss: 0.1891 2024-03-05 14:28:10,328 - mmseg - INFO - Iter [145350/160000] lr: 3.153e-06, eta: 2:51:58, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1155, decode.acc_seg: 94.8119, aux.loss_ce: 0.0733, aux.acc_seg: 92.3624, loss: 0.1888 2024-03-05 14:28:44,791 - mmseg - INFO - Iter [145400/160000] lr: 3.143e-06, eta: 2:51:22, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1191, decode.acc_seg: 94.6883, aux.loss_ce: 0.0723, aux.acc_seg: 92.6131, loss: 0.1914 2024-03-05 14:29:19,198 - mmseg - INFO - Iter [145450/160000] lr: 3.132e-06, eta: 2:50:47, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1203, decode.acc_seg: 94.6246, aux.loss_ce: 0.0777, aux.acc_seg: 91.9578, loss: 0.1979 2024-03-05 14:29:53,658 - mmseg - INFO - Iter [145500/160000] lr: 3.121e-06, eta: 2:50:12, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1179, decode.acc_seg: 94.7338, aux.loss_ce: 0.0755, aux.acc_seg: 92.1609, loss: 0.1934 2024-03-05 14:30:28,184 - mmseg - INFO - Iter [145550/160000] lr: 3.110e-06, eta: 2:49:37, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1163, decode.acc_seg: 94.8312, aux.loss_ce: 0.0741, aux.acc_seg: 92.5240, loss: 0.1904 2024-03-05 14:31:02,664 - mmseg - INFO - Iter [145600/160000] lr: 3.100e-06, eta: 2:49:01, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1198, decode.acc_seg: 94.5176, aux.loss_ce: 0.0778, aux.acc_seg: 91.9149, loss: 0.1976 2024-03-05 14:31:37,036 - mmseg - INFO - Iter [145650/160000] lr: 3.089e-06, eta: 2:48:26, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1209, decode.acc_seg: 94.6115, aux.loss_ce: 0.0754, aux.acc_seg: 92.2505, loss: 0.1962 2024-03-05 14:32:11,509 - mmseg - INFO - Iter [145700/160000] lr: 3.078e-06, eta: 2:47:51, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1164, decode.acc_seg: 94.7558, aux.loss_ce: 0.0738, aux.acc_seg: 92.4165, loss: 0.1902 2024-03-05 14:32:45,998 - mmseg - INFO - Iter [145750/160000] lr: 3.067e-06, eta: 2:47:15, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1187, decode.acc_seg: 94.6241, aux.loss_ce: 0.0736, aux.acc_seg: 92.3541, loss: 0.1924 2024-03-05 14:33:20,466 - mmseg - INFO - Iter [145800/160000] lr: 3.057e-06, eta: 2:46:40, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1230, decode.acc_seg: 94.6760, aux.loss_ce: 0.0781, aux.acc_seg: 92.1406, loss: 0.2011 2024-03-05 14:33:54,971 - mmseg - INFO - Iter [145850/160000] lr: 3.046e-06, eta: 2:46:05, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1171, decode.acc_seg: 94.7005, aux.loss_ce: 0.0719, aux.acc_seg: 92.4515, loss: 0.1890 2024-03-05 14:34:29,271 - mmseg - INFO - Iter [145900/160000] lr: 3.035e-06, eta: 2:45:30, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1199, decode.acc_seg: 94.7004, aux.loss_ce: 0.0742, aux.acc_seg: 92.3455, loss: 0.1941 2024-03-05 14:35:03,607 - mmseg - INFO - Iter [145950/160000] lr: 3.024e-06, eta: 2:44:54, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1144, decode.acc_seg: 94.8652, aux.loss_ce: 0.0702, aux.acc_seg: 92.8051, loss: 0.1846 2024-03-05 14:35:38,015 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 14:35:38,016 - mmseg - INFO - Iter [146000/160000] lr: 3.013e-06, eta: 2:44:19, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1206, decode.acc_seg: 94.6574, aux.loss_ce: 0.0759, aux.acc_seg: 92.1722, loss: 0.1965 2024-03-05 14:36:12,461 - mmseg - INFO - Iter [146050/160000] lr: 3.003e-06, eta: 2:43:44, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1203, decode.acc_seg: 94.7008, aux.loss_ce: 0.0743, aux.acc_seg: 92.5185, loss: 0.1946 2024-03-05 14:36:46,964 - mmseg - INFO - Iter [146100/160000] lr: 2.992e-06, eta: 2:43:08, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1196, decode.acc_seg: 94.6476, aux.loss_ce: 0.0763, aux.acc_seg: 92.2258, loss: 0.1958 2024-03-05 14:37:21,380 - mmseg - INFO - Iter [146150/160000] lr: 2.981e-06, eta: 2:42:33, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1196, decode.acc_seg: 94.7339, aux.loss_ce: 0.0746, aux.acc_seg: 92.4235, loss: 0.1943 2024-03-05 14:37:55,626 - mmseg - INFO - Iter [146200/160000] lr: 2.970e-06, eta: 2:41:58, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1189, decode.acc_seg: 94.6503, aux.loss_ce: 0.0743, aux.acc_seg: 92.2018, loss: 0.1932 2024-03-05 14:38:30,000 - mmseg - INFO - Iter [146250/160000] lr: 2.960e-06, eta: 2:41:23, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1153, decode.acc_seg: 94.8038, aux.loss_ce: 0.0753, aux.acc_seg: 92.2457, loss: 0.1906 2024-03-05 14:39:04,424 - mmseg - INFO - Iter [146300/160000] lr: 2.949e-06, eta: 2:40:47, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1173, decode.acc_seg: 94.7451, aux.loss_ce: 0.0746, aux.acc_seg: 92.4064, loss: 0.1918 2024-03-05 14:39:39,030 - mmseg - INFO - Iter [146350/160000] lr: 2.938e-06, eta: 2:40:12, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1194, decode.acc_seg: 94.6560, aux.loss_ce: 0.0763, aux.acc_seg: 92.1862, loss: 0.1957 2024-03-05 14:40:13,338 - mmseg - INFO - Iter [146400/160000] lr: 2.927e-06, eta: 2:39:37, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1152, decode.acc_seg: 94.8292, aux.loss_ce: 0.0722, aux.acc_seg: 92.5253, loss: 0.1874 2024-03-05 14:40:47,683 - mmseg - INFO - Iter [146450/160000] lr: 2.917e-06, eta: 2:39:01, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1156, decode.acc_seg: 94.8736, aux.loss_ce: 0.0741, aux.acc_seg: 92.5603, loss: 0.1898 2024-03-05 14:41:22,189 - mmseg - INFO - Iter [146500/160000] lr: 2.906e-06, eta: 2:38:26, time: 0.690, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1240, decode.acc_seg: 94.4850, aux.loss_ce: 0.0786, aux.acc_seg: 91.9332, loss: 0.2026 2024-03-05 14:41:59,310 - mmseg - INFO - Iter [146550/160000] lr: 2.895e-06, eta: 2:37:51, time: 0.742, data_time: 0.065, memory: 9361, decode.loss_ce: 0.1178, decode.acc_seg: 94.6098, aux.loss_ce: 0.0727, aux.acc_seg: 92.2865, loss: 0.1904 2024-03-05 14:42:33,626 - mmseg - INFO - Iter [146600/160000] lr: 2.884e-06, eta: 2:37:16, time: 0.686, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1211, decode.acc_seg: 94.6417, aux.loss_ce: 0.0772, aux.acc_seg: 92.1098, loss: 0.1984 2024-03-05 14:43:07,841 - mmseg - INFO - Iter [146650/160000] lr: 2.874e-06, eta: 2:36:41, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1177, decode.acc_seg: 94.6244, aux.loss_ce: 0.0750, aux.acc_seg: 92.1353, loss: 0.1927 2024-03-05 14:43:42,057 - mmseg - INFO - Iter [146700/160000] lr: 2.863e-06, eta: 2:36:05, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1233, decode.acc_seg: 94.3788, aux.loss_ce: 0.0764, aux.acc_seg: 92.1285, loss: 0.1997 2024-03-05 14:44:16,751 - mmseg - INFO - Iter [146750/160000] lr: 2.852e-06, eta: 2:35:30, time: 0.694, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1201, decode.acc_seg: 94.5588, aux.loss_ce: 0.0751, aux.acc_seg: 92.1925, loss: 0.1953 2024-03-05 14:44:51,246 - mmseg - INFO - Iter [146800/160000] lr: 2.841e-06, eta: 2:34:55, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1178, decode.acc_seg: 94.8093, aux.loss_ce: 0.0726, aux.acc_seg: 92.5686, loss: 0.1904 2024-03-05 14:45:25,708 - mmseg - INFO - Iter [146850/160000] lr: 2.831e-06, eta: 2:34:19, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1142, decode.acc_seg: 94.9245, aux.loss_ce: 0.0742, aux.acc_seg: 92.5117, loss: 0.1883 2024-03-05 14:45:59,898 - mmseg - INFO - Iter [146900/160000] lr: 2.820e-06, eta: 2:33:44, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1219, decode.acc_seg: 94.6129, aux.loss_ce: 0.0769, aux.acc_seg: 92.1796, loss: 0.1988 2024-03-05 14:46:34,132 - mmseg - INFO - Iter [146950/160000] lr: 2.809e-06, eta: 2:33:09, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1156, decode.acc_seg: 94.6747, aux.loss_ce: 0.0761, aux.acc_seg: 92.2249, loss: 0.1918 2024-03-05 14:47:08,382 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 14:47:08,382 - mmseg - INFO - Iter [147000/160000] lr: 2.798e-06, eta: 2:32:34, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1160, decode.acc_seg: 94.7458, aux.loss_ce: 0.0738, aux.acc_seg: 92.2495, loss: 0.1898 2024-03-05 14:47:42,779 - mmseg - INFO - Iter [147050/160000] lr: 2.787e-06, eta: 2:31:58, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1177, decode.acc_seg: 94.6031, aux.loss_ce: 0.0762, aux.acc_seg: 91.9910, loss: 0.1939 2024-03-05 14:48:17,024 - mmseg - INFO - Iter [147100/160000] lr: 2.777e-06, eta: 2:31:23, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1163, decode.acc_seg: 94.8177, aux.loss_ce: 0.0746, aux.acc_seg: 92.3025, loss: 0.1909 2024-03-05 14:48:51,572 - mmseg - INFO - Iter [147150/160000] lr: 2.766e-06, eta: 2:30:48, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1192, decode.acc_seg: 94.7634, aux.loss_ce: 0.0737, aux.acc_seg: 92.5475, loss: 0.1929 2024-03-05 14:49:25,778 - mmseg - INFO - Iter [147200/160000] lr: 2.755e-06, eta: 2:30:12, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1220, decode.acc_seg: 94.7189, aux.loss_ce: 0.0768, aux.acc_seg: 92.1854, loss: 0.1988 2024-03-05 14:50:00,216 - mmseg - INFO - Iter [147250/160000] lr: 2.744e-06, eta: 2:29:37, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1199, decode.acc_seg: 94.6456, aux.loss_ce: 0.0757, aux.acc_seg: 92.2518, loss: 0.1956 2024-03-05 14:50:34,664 - mmseg - INFO - Iter [147300/160000] lr: 2.734e-06, eta: 2:29:02, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1250, decode.acc_seg: 94.4326, aux.loss_ce: 0.0796, aux.acc_seg: 91.8851, loss: 0.2046 2024-03-05 14:51:09,092 - mmseg - INFO - Iter [147350/160000] lr: 2.723e-06, eta: 2:28:27, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1203, decode.acc_seg: 94.7147, aux.loss_ce: 0.0769, aux.acc_seg: 92.2995, loss: 0.1972 2024-03-05 14:51:43,322 - mmseg - INFO - Iter [147400/160000] lr: 2.712e-06, eta: 2:27:51, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1125, decode.acc_seg: 94.9743, aux.loss_ce: 0.0726, aux.acc_seg: 92.5077, loss: 0.1851 2024-03-05 14:52:17,687 - mmseg - INFO - Iter [147450/160000] lr: 2.701e-06, eta: 2:27:16, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1274, decode.acc_seg: 94.3901, aux.loss_ce: 0.0792, aux.acc_seg: 91.8248, loss: 0.2066 2024-03-05 14:52:52,025 - mmseg - INFO - Iter [147500/160000] lr: 2.691e-06, eta: 2:26:41, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1169, decode.acc_seg: 94.7173, aux.loss_ce: 0.0733, aux.acc_seg: 92.3117, loss: 0.1902 2024-03-05 14:53:26,465 - mmseg - INFO - Iter [147550/160000] lr: 2.680e-06, eta: 2:26:05, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1218, decode.acc_seg: 94.6241, aux.loss_ce: 0.0756, aux.acc_seg: 92.1823, loss: 0.1973 2024-03-05 14:54:00,815 - mmseg - INFO - Iter [147600/160000] lr: 2.669e-06, eta: 2:25:30, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1157, decode.acc_seg: 94.7998, aux.loss_ce: 0.0724, aux.acc_seg: 92.4964, loss: 0.1881 2024-03-05 14:54:35,225 - mmseg - INFO - Iter [147650/160000] lr: 2.658e-06, eta: 2:24:55, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1189, decode.acc_seg: 94.7038, aux.loss_ce: 0.0767, aux.acc_seg: 92.2031, loss: 0.1957 2024-03-05 14:55:09,523 - mmseg - INFO - Iter [147700/160000] lr: 2.648e-06, eta: 2:24:20, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1134, decode.acc_seg: 94.8653, aux.loss_ce: 0.0707, aux.acc_seg: 92.7078, loss: 0.1842 2024-03-05 14:55:43,757 - mmseg - INFO - Iter [147750/160000] lr: 2.637e-06, eta: 2:23:44, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1193, decode.acc_seg: 94.6727, aux.loss_ce: 0.0752, aux.acc_seg: 92.2573, loss: 0.1945 2024-03-05 14:56:21,146 - mmseg - INFO - Iter [147800/160000] lr: 2.626e-06, eta: 2:23:09, time: 0.747, data_time: 0.059, memory: 9361, decode.loss_ce: 0.1247, decode.acc_seg: 94.4281, aux.loss_ce: 0.0783, aux.acc_seg: 91.9208, loss: 0.2030 2024-03-05 14:56:55,728 - mmseg - INFO - Iter [147850/160000] lr: 2.615e-06, eta: 2:22:34, time: 0.692, data_time: 0.012, memory: 9361, decode.loss_ce: 0.1165, decode.acc_seg: 94.8807, aux.loss_ce: 0.0773, aux.acc_seg: 92.1285, loss: 0.1939 2024-03-05 14:57:30,051 - mmseg - INFO - Iter [147900/160000] lr: 2.605e-06, eta: 2:21:59, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1165, decode.acc_seg: 94.7994, aux.loss_ce: 0.0742, aux.acc_seg: 92.4048, loss: 0.1907 2024-03-05 14:58:04,254 - mmseg - INFO - Iter [147950/160000] lr: 2.594e-06, eta: 2:21:24, time: 0.684, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1201, decode.acc_seg: 94.6338, aux.loss_ce: 0.0758, aux.acc_seg: 92.0584, loss: 0.1959 2024-03-05 14:58:38,474 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 14:58:38,474 - mmseg - INFO - Iter [148000/160000] lr: 2.583e-06, eta: 2:20:48, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1137, decode.acc_seg: 94.8636, aux.loss_ce: 0.0763, aux.acc_seg: 92.1619, loss: 0.1901 2024-03-05 14:59:12,866 - mmseg - INFO - Iter [148050/160000] lr: 2.572e-06, eta: 2:20:13, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1134, decode.acc_seg: 94.8750, aux.loss_ce: 0.0700, aux.acc_seg: 92.7699, loss: 0.1834 2024-03-05 14:59:47,268 - mmseg - INFO - Iter [148100/160000] lr: 2.561e-06, eta: 2:19:38, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1157, decode.acc_seg: 94.7568, aux.loss_ce: 0.0721, aux.acc_seg: 92.5575, loss: 0.1878 2024-03-05 15:00:21,773 - mmseg - INFO - Iter [148150/160000] lr: 2.551e-06, eta: 2:19:02, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1214, decode.acc_seg: 94.4819, aux.loss_ce: 0.0758, aux.acc_seg: 92.1635, loss: 0.1972 2024-03-05 15:00:56,137 - mmseg - INFO - Iter [148200/160000] lr: 2.540e-06, eta: 2:18:27, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1161, decode.acc_seg: 94.6816, aux.loss_ce: 0.0741, aux.acc_seg: 92.2359, loss: 0.1902 2024-03-05 15:01:30,426 - mmseg - INFO - Iter [148250/160000] lr: 2.529e-06, eta: 2:17:52, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1285, decode.acc_seg: 94.2275, aux.loss_ce: 0.0783, aux.acc_seg: 91.9220, loss: 0.2068 2024-03-05 15:02:04,789 - mmseg - INFO - Iter [148300/160000] lr: 2.518e-06, eta: 2:17:17, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1158, decode.acc_seg: 94.9423, aux.loss_ce: 0.0724, aux.acc_seg: 92.6170, loss: 0.1882 2024-03-05 15:02:39,244 - mmseg - INFO - Iter [148350/160000] lr: 2.508e-06, eta: 2:16:41, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1201, decode.acc_seg: 94.5143, aux.loss_ce: 0.0769, aux.acc_seg: 91.8413, loss: 0.1970 2024-03-05 15:03:13,650 - mmseg - INFO - Iter [148400/160000] lr: 2.497e-06, eta: 2:16:06, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1196, decode.acc_seg: 94.7363, aux.loss_ce: 0.0761, aux.acc_seg: 92.2558, loss: 0.1957 2024-03-05 15:03:48,307 - mmseg - INFO - Iter [148450/160000] lr: 2.486e-06, eta: 2:15:31, time: 0.693, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1220, decode.acc_seg: 94.4979, aux.loss_ce: 0.0804, aux.acc_seg: 91.7750, loss: 0.2025 2024-03-05 15:04:22,805 - mmseg - INFO - Iter [148500/160000] lr: 2.475e-06, eta: 2:14:56, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1168, decode.acc_seg: 94.8353, aux.loss_ce: 0.0736, aux.acc_seg: 92.5038, loss: 0.1903 2024-03-05 15:04:57,348 - mmseg - INFO - Iter [148550/160000] lr: 2.465e-06, eta: 2:14:20, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1181, decode.acc_seg: 94.8759, aux.loss_ce: 0.0716, aux.acc_seg: 92.6607, loss: 0.1897 2024-03-05 15:05:31,803 - mmseg - INFO - Iter [148600/160000] lr: 2.454e-06, eta: 2:13:45, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1129, decode.acc_seg: 94.8913, aux.loss_ce: 0.0705, aux.acc_seg: 92.6358, loss: 0.1834 2024-03-05 15:06:06,175 - mmseg - INFO - Iter [148650/160000] lr: 2.443e-06, eta: 2:13:10, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1221, decode.acc_seg: 94.4942, aux.loss_ce: 0.0787, aux.acc_seg: 91.9080, loss: 0.2008 2024-03-05 15:06:40,582 - mmseg - INFO - Iter [148700/160000] lr: 2.432e-06, eta: 2:12:35, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1274, decode.acc_seg: 94.3441, aux.loss_ce: 0.0836, aux.acc_seg: 91.5351, loss: 0.2109 2024-03-05 15:07:14,984 - mmseg - INFO - Iter [148750/160000] lr: 2.422e-06, eta: 2:11:59, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1170, decode.acc_seg: 94.7287, aux.loss_ce: 0.0707, aux.acc_seg: 92.6316, loss: 0.1877 2024-03-05 15:07:49,445 - mmseg - INFO - Iter [148800/160000] lr: 2.411e-06, eta: 2:11:24, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1176, decode.acc_seg: 94.7321, aux.loss_ce: 0.0739, aux.acc_seg: 92.3977, loss: 0.1915 2024-03-05 15:08:23,857 - mmseg - INFO - Iter [148850/160000] lr: 2.400e-06, eta: 2:10:49, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1198, decode.acc_seg: 94.6325, aux.loss_ce: 0.0775, aux.acc_seg: 92.0564, loss: 0.1974 2024-03-05 15:08:58,292 - mmseg - INFO - Iter [148900/160000] lr: 2.389e-06, eta: 2:10:14, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1164, decode.acc_seg: 94.7642, aux.loss_ce: 0.0729, aux.acc_seg: 92.3442, loss: 0.1893 2024-03-05 15:09:32,664 - mmseg - INFO - Iter [148950/160000] lr: 2.379e-06, eta: 2:09:38, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1120, decode.acc_seg: 95.0021, aux.loss_ce: 0.0709, aux.acc_seg: 92.6331, loss: 0.1830 2024-03-05 15:10:07,302 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 15:10:07,302 - mmseg - INFO - Iter [149000/160000] lr: 2.368e-06, eta: 2:09:03, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1142, decode.acc_seg: 94.9035, aux.loss_ce: 0.0720, aux.acc_seg: 92.6021, loss: 0.1862 2024-03-05 15:10:44,546 - mmseg - INFO - Iter [149050/160000] lr: 2.357e-06, eta: 2:08:28, time: 0.745, data_time: 0.061, memory: 9361, decode.loss_ce: 0.1230, decode.acc_seg: 94.6461, aux.loss_ce: 0.0789, aux.acc_seg: 92.0101, loss: 0.2019 2024-03-05 15:11:19,004 - mmseg - INFO - Iter [149100/160000] lr: 2.346e-06, eta: 2:07:53, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1175, decode.acc_seg: 94.7512, aux.loss_ce: 0.0751, aux.acc_seg: 92.3025, loss: 0.1926 2024-03-05 15:11:53,381 - mmseg - INFO - Iter [149150/160000] lr: 2.335e-06, eta: 2:07:17, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1180, decode.acc_seg: 94.7978, aux.loss_ce: 0.0754, aux.acc_seg: 92.3299, loss: 0.1934 2024-03-05 15:12:27,960 - mmseg - INFO - Iter [149200/160000] lr: 2.325e-06, eta: 2:06:42, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1141, decode.acc_seg: 94.7942, aux.loss_ce: 0.0724, aux.acc_seg: 92.3489, loss: 0.1865 2024-03-05 15:13:02,433 - mmseg - INFO - Iter [149250/160000] lr: 2.314e-06, eta: 2:06:07, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1210, decode.acc_seg: 94.6671, aux.loss_ce: 0.0748, aux.acc_seg: 92.3194, loss: 0.1958 2024-03-05 15:13:36,954 - mmseg - INFO - Iter [149300/160000] lr: 2.303e-06, eta: 2:05:32, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1258, decode.acc_seg: 94.4846, aux.loss_ce: 0.0785, aux.acc_seg: 91.9491, loss: 0.2043 2024-03-05 15:14:11,484 - mmseg - INFO - Iter [149350/160000] lr: 2.292e-06, eta: 2:04:56, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1211, decode.acc_seg: 94.6216, aux.loss_ce: 0.0784, aux.acc_seg: 92.0217, loss: 0.1994 2024-03-05 15:14:45,983 - mmseg - INFO - Iter [149400/160000] lr: 2.282e-06, eta: 2:04:21, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1185, decode.acc_seg: 94.7127, aux.loss_ce: 0.0751, aux.acc_seg: 92.2574, loss: 0.1936 2024-03-05 15:15:20,401 - mmseg - INFO - Iter [149450/160000] lr: 2.271e-06, eta: 2:03:46, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1228, decode.acc_seg: 94.5145, aux.loss_ce: 0.0781, aux.acc_seg: 91.8164, loss: 0.2009 2024-03-05 15:15:54,713 - mmseg - INFO - Iter [149500/160000] lr: 2.260e-06, eta: 2:03:11, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1169, decode.acc_seg: 94.6875, aux.loss_ce: 0.0742, aux.acc_seg: 92.2827, loss: 0.1912 2024-03-05 15:16:28,936 - mmseg - INFO - Iter [149550/160000] lr: 2.249e-06, eta: 2:02:35, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1140, decode.acc_seg: 94.8427, aux.loss_ce: 0.0697, aux.acc_seg: 92.7353, loss: 0.1838 2024-03-05 15:17:03,355 - mmseg - INFO - Iter [149600/160000] lr: 2.239e-06, eta: 2:02:00, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1180, decode.acc_seg: 94.6499, aux.loss_ce: 0.0744, aux.acc_seg: 92.3130, loss: 0.1924 2024-03-05 15:17:37,753 - mmseg - INFO - Iter [149650/160000] lr: 2.228e-06, eta: 2:01:25, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1144, decode.acc_seg: 94.9464, aux.loss_ce: 0.0726, aux.acc_seg: 92.5988, loss: 0.1869 2024-03-05 15:18:12,242 - mmseg - INFO - Iter [149700/160000] lr: 2.217e-06, eta: 2:00:50, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1167, decode.acc_seg: 94.7727, aux.loss_ce: 0.0734, aux.acc_seg: 92.4061, loss: 0.1902 2024-03-05 15:18:46,748 - mmseg - INFO - Iter [149750/160000] lr: 2.206e-06, eta: 2:00:14, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1113, decode.acc_seg: 95.0945, aux.loss_ce: 0.0702, aux.acc_seg: 92.8254, loss: 0.1815 2024-03-05 15:19:21,085 - mmseg - INFO - Iter [149800/160000] lr: 2.196e-06, eta: 1:59:39, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1192, decode.acc_seg: 94.6296, aux.loss_ce: 0.0745, aux.acc_seg: 92.3158, loss: 0.1937 2024-03-05 15:19:55,555 - mmseg - INFO - Iter [149850/160000] lr: 2.185e-06, eta: 1:59:04, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1205, decode.acc_seg: 94.6683, aux.loss_ce: 0.0792, aux.acc_seg: 91.8908, loss: 0.1997 2024-03-05 15:20:30,685 - mmseg - INFO - Iter [149900/160000] lr: 2.174e-06, eta: 1:58:29, time: 0.702, data_time: 0.021, memory: 9361, decode.loss_ce: 0.1220, decode.acc_seg: 94.6227, aux.loss_ce: 0.0779, aux.acc_seg: 92.0567, loss: 0.1999 2024-03-05 15:21:05,122 - mmseg - INFO - Iter [149950/160000] lr: 2.163e-06, eta: 1:57:54, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1167, decode.acc_seg: 94.6964, aux.loss_ce: 0.0720, aux.acc_seg: 92.4586, loss: 0.1887 2024-03-05 15:21:39,644 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 15:21:39,644 - mmseg - INFO - Iter [150000/160000] lr: 2.153e-06, eta: 1:57:18, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1184, decode.acc_seg: 94.7476, aux.loss_ce: 0.0763, aux.acc_seg: 92.2903, loss: 0.1947 2024-03-05 15:22:14,254 - mmseg - INFO - Iter [150050/160000] lr: 2.142e-06, eta: 1:56:43, time: 0.692, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1174, decode.acc_seg: 94.7648, aux.loss_ce: 0.0711, aux.acc_seg: 92.5901, loss: 0.1885 2024-03-05 15:22:48,857 - mmseg - INFO - Iter [150100/160000] lr: 2.131e-06, eta: 1:56:08, time: 0.692, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1130, decode.acc_seg: 94.7321, aux.loss_ce: 0.0691, aux.acc_seg: 92.7440, loss: 0.1821 2024-03-05 15:23:23,275 - mmseg - INFO - Iter [150150/160000] lr: 2.120e-06, eta: 1:55:33, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1207, decode.acc_seg: 94.7068, aux.loss_ce: 0.0748, aux.acc_seg: 92.4307, loss: 0.1955 2024-03-05 15:23:57,623 - mmseg - INFO - Iter [150200/160000] lr: 2.110e-06, eta: 1:54:57, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1175, decode.acc_seg: 94.8333, aux.loss_ce: 0.0721, aux.acc_seg: 92.7044, loss: 0.1896 2024-03-05 15:24:32,201 - mmseg - INFO - Iter [150250/160000] lr: 2.099e-06, eta: 1:54:22, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1190, decode.acc_seg: 94.6879, aux.loss_ce: 0.0757, aux.acc_seg: 92.2109, loss: 0.1947 2024-03-05 15:25:09,444 - mmseg - INFO - Iter [150300/160000] lr: 2.088e-06, eta: 1:53:47, time: 0.745, data_time: 0.061, memory: 9361, decode.loss_ce: 0.1172, decode.acc_seg: 94.7493, aux.loss_ce: 0.0764, aux.acc_seg: 92.1958, loss: 0.1935 2024-03-05 15:25:43,941 - mmseg - INFO - Iter [150350/160000] lr: 2.077e-06, eta: 1:53:12, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1198, decode.acc_seg: 94.7270, aux.loss_ce: 0.0764, aux.acc_seg: 92.3294, loss: 0.1962 2024-03-05 15:26:18,440 - mmseg - INFO - Iter [150400/160000] lr: 2.066e-06, eta: 1:52:37, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1160, decode.acc_seg: 94.7133, aux.loss_ce: 0.0725, aux.acc_seg: 92.3933, loss: 0.1884 2024-03-05 15:26:52,910 - mmseg - INFO - Iter [150450/160000] lr: 2.056e-06, eta: 1:52:01, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1164, decode.acc_seg: 94.7340, aux.loss_ce: 0.0714, aux.acc_seg: 92.5261, loss: 0.1878 2024-03-05 15:27:27,393 - mmseg - INFO - Iter [150500/160000] lr: 2.045e-06, eta: 1:51:26, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1095, decode.acc_seg: 95.1758, aux.loss_ce: 0.0694, aux.acc_seg: 92.8390, loss: 0.1789 2024-03-05 15:28:01,920 - mmseg - INFO - Iter [150550/160000] lr: 2.034e-06, eta: 1:50:51, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1151, decode.acc_seg: 94.7985, aux.loss_ce: 0.0737, aux.acc_seg: 92.3425, loss: 0.1888 2024-03-05 15:28:36,358 - mmseg - INFO - Iter [150600/160000] lr: 2.023e-06, eta: 1:50:16, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1144, decode.acc_seg: 94.8664, aux.loss_ce: 0.0727, aux.acc_seg: 92.4363, loss: 0.1871 2024-03-05 15:29:10,787 - mmseg - INFO - Iter [150650/160000] lr: 2.013e-06, eta: 1:49:40, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1124, decode.acc_seg: 94.9311, aux.loss_ce: 0.0725, aux.acc_seg: 92.5129, loss: 0.1849 2024-03-05 15:29:45,322 - mmseg - INFO - Iter [150700/160000] lr: 2.002e-06, eta: 1:49:05, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1230, decode.acc_seg: 94.5506, aux.loss_ce: 0.0773, aux.acc_seg: 92.2231, loss: 0.2004 2024-03-05 15:30:20,043 - mmseg - INFO - Iter [150750/160000] lr: 1.991e-06, eta: 1:48:30, time: 0.694, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1158, decode.acc_seg: 94.9028, aux.loss_ce: 0.0729, aux.acc_seg: 92.5853, loss: 0.1887 2024-03-05 15:30:54,380 - mmseg - INFO - Iter [150800/160000] lr: 1.980e-06, eta: 1:47:55, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1199, decode.acc_seg: 94.6356, aux.loss_ce: 0.0747, aux.acc_seg: 92.3578, loss: 0.1946 2024-03-05 15:31:28,695 - mmseg - INFO - Iter [150850/160000] lr: 1.970e-06, eta: 1:47:19, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1140, decode.acc_seg: 94.9168, aux.loss_ce: 0.0698, aux.acc_seg: 92.7399, loss: 0.1838 2024-03-05 15:32:03,066 - mmseg - INFO - Iter [150900/160000] lr: 1.959e-06, eta: 1:46:44, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1118, decode.acc_seg: 95.0440, aux.loss_ce: 0.0705, aux.acc_seg: 92.8133, loss: 0.1823 2024-03-05 15:32:37,474 - mmseg - INFO - Iter [150950/160000] lr: 1.948e-06, eta: 1:46:09, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1139, decode.acc_seg: 94.8629, aux.loss_ce: 0.0728, aux.acc_seg: 92.4254, loss: 0.1866 2024-03-05 15:33:12,055 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 15:33:12,055 - mmseg - INFO - Iter [151000/160000] lr: 1.937e-06, eta: 1:45:34, time: 0.692, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1213, decode.acc_seg: 94.5179, aux.loss_ce: 0.0769, aux.acc_seg: 92.1322, loss: 0.1983 2024-03-05 15:33:46,483 - mmseg - INFO - Iter [151050/160000] lr: 1.927e-06, eta: 1:44:59, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1121, decode.acc_seg: 94.8964, aux.loss_ce: 0.0714, aux.acc_seg: 92.5286, loss: 0.1835 2024-03-05 15:34:20,860 - mmseg - INFO - Iter [151100/160000] lr: 1.916e-06, eta: 1:44:23, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1196, decode.acc_seg: 94.5962, aux.loss_ce: 0.0745, aux.acc_seg: 92.2517, loss: 0.1941 2024-03-05 15:34:55,360 - mmseg - INFO - Iter [151150/160000] lr: 1.905e-06, eta: 1:43:48, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1134, decode.acc_seg: 94.6928, aux.loss_ce: 0.0713, aux.acc_seg: 92.5039, loss: 0.1848 2024-03-05 15:35:29,496 - mmseg - INFO - Iter [151200/160000] lr: 1.894e-06, eta: 1:43:13, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1140, decode.acc_seg: 94.9164, aux.loss_ce: 0.0712, aux.acc_seg: 92.6662, loss: 0.1852 2024-03-05 15:36:04,041 - mmseg - INFO - Iter [151250/160000] lr: 1.884e-06, eta: 1:42:38, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1165, decode.acc_seg: 94.7416, aux.loss_ce: 0.0741, aux.acc_seg: 92.3088, loss: 0.1906 2024-03-05 15:36:38,410 - mmseg - INFO - Iter [151300/160000] lr: 1.873e-06, eta: 1:42:02, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1182, decode.acc_seg: 94.6954, aux.loss_ce: 0.0743, aux.acc_seg: 92.3769, loss: 0.1925 2024-03-05 15:37:12,748 - mmseg - INFO - Iter [151350/160000] lr: 1.862e-06, eta: 1:41:27, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1194, decode.acc_seg: 94.8050, aux.loss_ce: 0.0775, aux.acc_seg: 92.2680, loss: 0.1969 2024-03-05 15:37:47,135 - mmseg - INFO - Iter [151400/160000] lr: 1.851e-06, eta: 1:40:52, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1224, decode.acc_seg: 94.7103, aux.loss_ce: 0.0751, aux.acc_seg: 92.3697, loss: 0.1975 2024-03-05 15:38:21,566 - mmseg - INFO - Iter [151450/160000] lr: 1.840e-06, eta: 1:40:17, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1240, decode.acc_seg: 94.4815, aux.loss_ce: 0.0803, aux.acc_seg: 91.7964, loss: 0.2044 2024-03-05 15:38:55,942 - mmseg - INFO - Iter [151500/160000] lr: 1.830e-06, eta: 1:39:41, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1251, decode.acc_seg: 94.5505, aux.loss_ce: 0.0782, aux.acc_seg: 92.1596, loss: 0.2033 2024-03-05 15:39:30,361 - mmseg - INFO - Iter [151550/160000] lr: 1.819e-06, eta: 1:39:06, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1119, decode.acc_seg: 94.9734, aux.loss_ce: 0.0698, aux.acc_seg: 92.7929, loss: 0.1818 2024-03-05 15:40:07,868 - mmseg - INFO - Iter [151600/160000] lr: 1.808e-06, eta: 1:38:31, time: 0.750, data_time: 0.065, memory: 9361, decode.loss_ce: 0.1205, decode.acc_seg: 94.5626, aux.loss_ce: 0.0757, aux.acc_seg: 92.1024, loss: 0.1962 2024-03-05 15:40:42,236 - mmseg - INFO - Iter [151650/160000] lr: 1.797e-06, eta: 1:37:56, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1176, decode.acc_seg: 94.6924, aux.loss_ce: 0.0707, aux.acc_seg: 92.6091, loss: 0.1883 2024-03-05 15:41:16,400 - mmseg - INFO - Iter [151700/160000] lr: 1.787e-06, eta: 1:37:21, time: 0.683, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1119, decode.acc_seg: 94.8662, aux.loss_ce: 0.0707, aux.acc_seg: 92.5235, loss: 0.1826 2024-03-05 15:41:50,700 - mmseg - INFO - Iter [151750/160000] lr: 1.776e-06, eta: 1:36:45, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1148, decode.acc_seg: 94.8388, aux.loss_ce: 0.0735, aux.acc_seg: 92.3758, loss: 0.1883 2024-03-05 15:42:25,167 - mmseg - INFO - Iter [151800/160000] lr: 1.765e-06, eta: 1:36:10, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1201, decode.acc_seg: 94.6655, aux.loss_ce: 0.0759, aux.acc_seg: 92.1499, loss: 0.1960 2024-03-05 15:42:59,439 - mmseg - INFO - Iter [151850/160000] lr: 1.754e-06, eta: 1:35:35, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1217, decode.acc_seg: 94.6549, aux.loss_ce: 0.0766, aux.acc_seg: 92.2970, loss: 0.1984 2024-03-05 15:43:33,774 - mmseg - INFO - Iter [151900/160000] lr: 1.744e-06, eta: 1:35:00, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1112, decode.acc_seg: 94.9688, aux.loss_ce: 0.0686, aux.acc_seg: 92.8479, loss: 0.1799 2024-03-05 15:44:08,116 - mmseg - INFO - Iter [151950/160000] lr: 1.733e-06, eta: 1:34:24, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1217, decode.acc_seg: 94.6288, aux.loss_ce: 0.0750, aux.acc_seg: 92.3066, loss: 0.1967 2024-03-05 15:44:42,428 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 15:44:42,428 - mmseg - INFO - Iter [152000/160000] lr: 1.722e-06, eta: 1:33:49, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1165, decode.acc_seg: 94.8273, aux.loss_ce: 0.0711, aux.acc_seg: 92.6929, loss: 0.1876 2024-03-05 15:45:16,879 - mmseg - INFO - Iter [152050/160000] lr: 1.711e-06, eta: 1:33:14, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1166, decode.acc_seg: 94.8093, aux.loss_ce: 0.0744, aux.acc_seg: 92.3862, loss: 0.1910 2024-03-05 15:45:51,277 - mmseg - INFO - Iter [152100/160000] lr: 1.701e-06, eta: 1:32:39, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1256, decode.acc_seg: 94.4966, aux.loss_ce: 0.0791, aux.acc_seg: 92.0244, loss: 0.2047 2024-03-05 15:46:25,562 - mmseg - INFO - Iter [152150/160000] lr: 1.690e-06, eta: 1:32:04, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1167, decode.acc_seg: 94.6726, aux.loss_ce: 0.0738, aux.acc_seg: 92.2848, loss: 0.1905 2024-03-05 15:46:59,996 - mmseg - INFO - Iter [152200/160000] lr: 1.679e-06, eta: 1:31:28, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1169, decode.acc_seg: 94.8552, aux.loss_ce: 0.0748, aux.acc_seg: 92.4666, loss: 0.1917 2024-03-05 15:47:34,325 - mmseg - INFO - Iter [152250/160000] lr: 1.668e-06, eta: 1:30:53, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1201, decode.acc_seg: 94.5816, aux.loss_ce: 0.0758, aux.acc_seg: 92.1477, loss: 0.1958 2024-03-05 15:48:08,501 - mmseg - INFO - Iter [152300/160000] lr: 1.658e-06, eta: 1:30:18, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1137, decode.acc_seg: 94.8055, aux.loss_ce: 0.0741, aux.acc_seg: 92.3639, loss: 0.1877 2024-03-05 15:48:42,748 - mmseg - INFO - Iter [152350/160000] lr: 1.647e-06, eta: 1:29:43, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1103, decode.acc_seg: 95.0243, aux.loss_ce: 0.0702, aux.acc_seg: 92.7364, loss: 0.1806 2024-03-05 15:49:17,058 - mmseg - INFO - Iter [152400/160000] lr: 1.636e-06, eta: 1:29:07, time: 0.686, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1161, decode.acc_seg: 94.5988, aux.loss_ce: 0.0728, aux.acc_seg: 92.2645, loss: 0.1889 2024-03-05 15:49:51,544 - mmseg - INFO - Iter [152450/160000] lr: 1.625e-06, eta: 1:28:32, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1167, decode.acc_seg: 94.8044, aux.loss_ce: 0.0735, aux.acc_seg: 92.4406, loss: 0.1901 2024-03-05 15:50:25,954 - mmseg - INFO - Iter [152500/160000] lr: 1.614e-06, eta: 1:27:57, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1145, decode.acc_seg: 94.7924, aux.loss_ce: 0.0711, aux.acc_seg: 92.4691, loss: 0.1856 2024-03-05 15:51:00,268 - mmseg - INFO - Iter [152550/160000] lr: 1.604e-06, eta: 1:27:22, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1182, decode.acc_seg: 94.8383, aux.loss_ce: 0.0782, aux.acc_seg: 92.3029, loss: 0.1964 2024-03-05 15:51:34,541 - mmseg - INFO - Iter [152600/160000] lr: 1.593e-06, eta: 1:26:47, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1131, decode.acc_seg: 94.8865, aux.loss_ce: 0.0729, aux.acc_seg: 92.4622, loss: 0.1861 2024-03-05 15:52:09,100 - mmseg - INFO - Iter [152650/160000] lr: 1.582e-06, eta: 1:26:11, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1164, decode.acc_seg: 94.7190, aux.loss_ce: 0.0732, aux.acc_seg: 92.3792, loss: 0.1896 2024-03-05 15:52:43,351 - mmseg - INFO - Iter [152700/160000] lr: 1.571e-06, eta: 1:25:36, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1137, decode.acc_seg: 94.8485, aux.loss_ce: 0.0735, aux.acc_seg: 92.4283, loss: 0.1872 2024-03-05 15:53:17,797 - mmseg - INFO - Iter [152750/160000] lr: 1.561e-06, eta: 1:25:01, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1118, decode.acc_seg: 95.0334, aux.loss_ce: 0.0713, aux.acc_seg: 92.6507, loss: 0.1831 2024-03-05 15:53:52,201 - mmseg - INFO - Iter [152800/160000] lr: 1.550e-06, eta: 1:24:26, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1150, decode.acc_seg: 94.7509, aux.loss_ce: 0.0732, aux.acc_seg: 92.2725, loss: 0.1882 2024-03-05 15:54:29,685 - mmseg - INFO - Iter [152850/160000] lr: 1.539e-06, eta: 1:23:51, time: 0.750, data_time: 0.065, memory: 9361, decode.loss_ce: 0.1150, decode.acc_seg: 94.8927, aux.loss_ce: 0.0724, aux.acc_seg: 92.6184, loss: 0.1874 2024-03-05 15:55:04,029 - mmseg - INFO - Iter [152900/160000] lr: 1.528e-06, eta: 1:23:15, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1166, decode.acc_seg: 94.7204, aux.loss_ce: 0.0720, aux.acc_seg: 92.5044, loss: 0.1886 2024-03-05 15:55:38,443 - mmseg - INFO - Iter [152950/160000] lr: 1.518e-06, eta: 1:22:40, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1184, decode.acc_seg: 94.7364, aux.loss_ce: 0.0783, aux.acc_seg: 92.1142, loss: 0.1967 2024-03-05 15:56:12,800 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 15:56:12,800 - mmseg - INFO - Iter [153000/160000] lr: 1.507e-06, eta: 1:22:05, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1173, decode.acc_seg: 94.7550, aux.loss_ce: 0.0726, aux.acc_seg: 92.5082, loss: 0.1899 2024-03-05 15:56:47,031 - mmseg - INFO - Iter [153050/160000] lr: 1.496e-06, eta: 1:21:30, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1116, decode.acc_seg: 94.9443, aux.loss_ce: 0.0718, aux.acc_seg: 92.5458, loss: 0.1834 2024-03-05 15:57:21,480 - mmseg - INFO - Iter [153100/160000] lr: 1.485e-06, eta: 1:20:54, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1204, decode.acc_seg: 94.7226, aux.loss_ce: 0.0775, aux.acc_seg: 92.1069, loss: 0.1979 2024-03-05 15:57:56,024 - mmseg - INFO - Iter [153150/160000] lr: 1.475e-06, eta: 1:20:19, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1161, decode.acc_seg: 94.7037, aux.loss_ce: 0.0712, aux.acc_seg: 92.5255, loss: 0.1873 2024-03-05 15:58:30,513 - mmseg - INFO - Iter [153200/160000] lr: 1.464e-06, eta: 1:19:44, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1201, decode.acc_seg: 94.7150, aux.loss_ce: 0.0731, aux.acc_seg: 92.4862, loss: 0.1932 2024-03-05 15:59:04,838 - mmseg - INFO - Iter [153250/160000] lr: 1.453e-06, eta: 1:19:09, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1113, decode.acc_seg: 94.9852, aux.loss_ce: 0.0711, aux.acc_seg: 92.6912, loss: 0.1824 2024-03-05 15:59:39,317 - mmseg - INFO - Iter [153300/160000] lr: 1.442e-06, eta: 1:18:34, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1249, decode.acc_seg: 94.5327, aux.loss_ce: 0.0799, aux.acc_seg: 91.9294, loss: 0.2047 2024-03-05 16:00:13,741 - mmseg - INFO - Iter [153350/160000] lr: 1.432e-06, eta: 1:17:58, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1179, decode.acc_seg: 94.6701, aux.loss_ce: 0.0746, aux.acc_seg: 92.2660, loss: 0.1925 2024-03-05 16:00:48,079 - mmseg - INFO - Iter [153400/160000] lr: 1.421e-06, eta: 1:17:23, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1166, decode.acc_seg: 94.6075, aux.loss_ce: 0.0746, aux.acc_seg: 92.0116, loss: 0.1913 2024-03-05 16:01:22,538 - mmseg - INFO - Iter [153450/160000] lr: 1.410e-06, eta: 1:16:48, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1201, decode.acc_seg: 94.6227, aux.loss_ce: 0.0752, aux.acc_seg: 92.1706, loss: 0.1952 2024-03-05 16:01:57,082 - mmseg - INFO - Iter [153500/160000] lr: 1.399e-06, eta: 1:16:13, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1217, decode.acc_seg: 94.6222, aux.loss_ce: 0.0765, aux.acc_seg: 92.2186, loss: 0.1983 2024-03-05 16:02:31,622 - mmseg - INFO - Iter [153550/160000] lr: 1.388e-06, eta: 1:15:38, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1204, decode.acc_seg: 94.7234, aux.loss_ce: 0.0760, aux.acc_seg: 92.2755, loss: 0.1964 2024-03-05 16:03:05,940 - mmseg - INFO - Iter [153600/160000] lr: 1.378e-06, eta: 1:15:02, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1234, decode.acc_seg: 94.4901, aux.loss_ce: 0.0765, aux.acc_seg: 92.0573, loss: 0.2000 2024-03-05 16:03:40,365 - mmseg - INFO - Iter [153650/160000] lr: 1.367e-06, eta: 1:14:27, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1088, decode.acc_seg: 95.0863, aux.loss_ce: 0.0701, aux.acc_seg: 92.8119, loss: 0.1789 2024-03-05 16:04:14,650 - mmseg - INFO - Iter [153700/160000] lr: 1.356e-06, eta: 1:13:52, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1145, decode.acc_seg: 94.8567, aux.loss_ce: 0.0728, aux.acc_seg: 92.4952, loss: 0.1873 2024-03-05 16:04:48,968 - mmseg - INFO - Iter [153750/160000] lr: 1.345e-06, eta: 1:13:17, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1143, decode.acc_seg: 94.8491, aux.loss_ce: 0.0729, aux.acc_seg: 92.3827, loss: 0.1872 2024-03-05 16:05:23,500 - mmseg - INFO - Iter [153800/160000] lr: 1.335e-06, eta: 1:12:42, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1140, decode.acc_seg: 94.9202, aux.loss_ce: 0.0705, aux.acc_seg: 92.7687, loss: 0.1845 2024-03-05 16:05:57,861 - mmseg - INFO - Iter [153850/160000] lr: 1.324e-06, eta: 1:12:06, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1135, decode.acc_seg: 94.9560, aux.loss_ce: 0.0735, aux.acc_seg: 92.3967, loss: 0.1870 2024-03-05 16:06:32,179 - mmseg - INFO - Iter [153900/160000] lr: 1.313e-06, eta: 1:11:31, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1148, decode.acc_seg: 94.7579, aux.loss_ce: 0.0724, aux.acc_seg: 92.3701, loss: 0.1872 2024-03-05 16:07:06,578 - mmseg - INFO - Iter [153950/160000] lr: 1.302e-06, eta: 1:10:56, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1143, decode.acc_seg: 94.8665, aux.loss_ce: 0.0704, aux.acc_seg: 92.6857, loss: 0.1847 2024-03-05 16:07:40,790 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 16:07:40,791 - mmseg - INFO - Iter [154000/160000] lr: 1.292e-06, eta: 1:10:21, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1110, decode.acc_seg: 94.9932, aux.loss_ce: 0.0710, aux.acc_seg: 92.6567, loss: 0.1820 2024-03-05 16:08:15,209 - mmseg - INFO - Iter [154050/160000] lr: 1.281e-06, eta: 1:09:45, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1200, decode.acc_seg: 94.5299, aux.loss_ce: 0.0768, aux.acc_seg: 91.9435, loss: 0.1967 2024-03-05 16:08:52,443 - mmseg - INFO - Iter [154100/160000] lr: 1.270e-06, eta: 1:09:10, time: 0.745, data_time: 0.059, memory: 9361, decode.loss_ce: 0.1205, decode.acc_seg: 94.5822, aux.loss_ce: 0.0767, aux.acc_seg: 92.0750, loss: 0.1972 2024-03-05 16:09:26,858 - mmseg - INFO - Iter [154150/160000] lr: 1.259e-06, eta: 1:08:35, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1163, decode.acc_seg: 94.6004, aux.loss_ce: 0.0747, aux.acc_seg: 92.0435, loss: 0.1910 2024-03-05 16:10:01,121 - mmseg - INFO - Iter [154200/160000] lr: 1.249e-06, eta: 1:08:00, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1137, decode.acc_seg: 94.9772, aux.loss_ce: 0.0693, aux.acc_seg: 92.8435, loss: 0.1830 2024-03-05 16:10:35,500 - mmseg - INFO - Iter [154250/160000] lr: 1.238e-06, eta: 1:07:25, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1203, decode.acc_seg: 94.7510, aux.loss_ce: 0.0729, aux.acc_seg: 92.6345, loss: 0.1932 2024-03-05 16:11:10,139 - mmseg - INFO - Iter [154300/160000] lr: 1.227e-06, eta: 1:06:50, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1140, decode.acc_seg: 94.8219, aux.loss_ce: 0.0711, aux.acc_seg: 92.5272, loss: 0.1851 2024-03-05 16:11:44,488 - mmseg - INFO - Iter [154350/160000] lr: 1.216e-06, eta: 1:06:14, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1183, decode.acc_seg: 94.6548, aux.loss_ce: 0.0747, aux.acc_seg: 92.2162, loss: 0.1930 2024-03-05 16:12:18,879 - mmseg - INFO - Iter [154400/160000] lr: 1.206e-06, eta: 1:05:39, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1215, decode.acc_seg: 94.5527, aux.loss_ce: 0.0792, aux.acc_seg: 91.9414, loss: 0.2007 2024-03-05 16:12:53,245 - mmseg - INFO - Iter [154450/160000] lr: 1.195e-06, eta: 1:05:04, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1110, decode.acc_seg: 95.0499, aux.loss_ce: 0.0684, aux.acc_seg: 92.9324, loss: 0.1794 2024-03-05 16:13:27,580 - mmseg - INFO - Iter [154500/160000] lr: 1.184e-06, eta: 1:04:29, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1118, decode.acc_seg: 95.0516, aux.loss_ce: 0.0716, aux.acc_seg: 92.6779, loss: 0.1833 2024-03-05 16:14:01,993 - mmseg - INFO - Iter [154550/160000] lr: 1.173e-06, eta: 1:03:54, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1161, decode.acc_seg: 94.8611, aux.loss_ce: 0.0734, aux.acc_seg: 92.5360, loss: 0.1895 2024-03-05 16:14:36,227 - mmseg - INFO - Iter [154600/160000] lr: 1.162e-06, eta: 1:03:18, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1166, decode.acc_seg: 94.8669, aux.loss_ce: 0.0750, aux.acc_seg: 92.3814, loss: 0.1917 2024-03-05 16:15:10,493 - mmseg - INFO - Iter [154650/160000] lr: 1.152e-06, eta: 1:02:43, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1155, decode.acc_seg: 94.8853, aux.loss_ce: 0.0740, aux.acc_seg: 92.4485, loss: 0.1895 2024-03-05 16:15:44,796 - mmseg - INFO - Iter [154700/160000] lr: 1.141e-06, eta: 1:02:08, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1122, decode.acc_seg: 94.8590, aux.loss_ce: 0.0719, aux.acc_seg: 92.5853, loss: 0.1842 2024-03-05 16:16:18,969 - mmseg - INFO - Iter [154750/160000] lr: 1.130e-06, eta: 1:01:33, time: 0.683, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1208, decode.acc_seg: 94.6383, aux.loss_ce: 0.0755, aux.acc_seg: 92.3016, loss: 0.1963 2024-03-05 16:16:53,577 - mmseg - INFO - Iter [154800/160000] lr: 1.119e-06, eta: 1:00:58, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1220, decode.acc_seg: 94.5812, aux.loss_ce: 0.0755, aux.acc_seg: 92.2211, loss: 0.1975 2024-03-05 16:17:27,985 - mmseg - INFO - Iter [154850/160000] lr: 1.109e-06, eta: 1:00:22, time: 0.688, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1168, decode.acc_seg: 94.7751, aux.loss_ce: 0.0731, aux.acc_seg: 92.5033, loss: 0.1899 2024-03-05 16:18:02,403 - mmseg - INFO - Iter [154900/160000] lr: 1.098e-06, eta: 0:59:47, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1178, decode.acc_seg: 94.6156, aux.loss_ce: 0.0749, aux.acc_seg: 92.0979, loss: 0.1927 2024-03-05 16:18:37,049 - mmseg - INFO - Iter [154950/160000] lr: 1.087e-06, eta: 0:59:12, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1127, decode.acc_seg: 95.0435, aux.loss_ce: 0.0708, aux.acc_seg: 92.7883, loss: 0.1836 2024-03-05 16:19:11,351 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 16:19:11,352 - mmseg - INFO - Iter [155000/160000] lr: 1.076e-06, eta: 0:58:37, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1209, decode.acc_seg: 94.6035, aux.loss_ce: 0.0746, aux.acc_seg: 92.2987, loss: 0.1955 2024-03-05 16:19:45,778 - mmseg - INFO - Iter [155050/160000] lr: 1.066e-06, eta: 0:58:02, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1148, decode.acc_seg: 94.8299, aux.loss_ce: 0.0722, aux.acc_seg: 92.6364, loss: 0.1869 2024-03-05 16:20:20,377 - mmseg - INFO - Iter [155100/160000] lr: 1.055e-06, eta: 0:57:26, time: 0.692, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1101, decode.acc_seg: 95.1013, aux.loss_ce: 0.0712, aux.acc_seg: 92.7278, loss: 0.1813 2024-03-05 16:20:54,798 - mmseg - INFO - Iter [155150/160000] lr: 1.044e-06, eta: 0:56:51, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1131, decode.acc_seg: 94.9418, aux.loss_ce: 0.0708, aux.acc_seg: 92.7378, loss: 0.1839 2024-03-05 16:21:29,247 - mmseg - INFO - Iter [155200/160000] lr: 1.033e-06, eta: 0:56:16, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1234, decode.acc_seg: 94.3879, aux.loss_ce: 0.0794, aux.acc_seg: 91.7469, loss: 0.2028 2024-03-05 16:22:03,595 - mmseg - INFO - Iter [155250/160000] lr: 1.023e-06, eta: 0:55:41, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1156, decode.acc_seg: 94.7045, aux.loss_ce: 0.0733, aux.acc_seg: 92.4207, loss: 0.1889 2024-03-05 16:22:37,981 - mmseg - INFO - Iter [155300/160000] lr: 1.012e-06, eta: 0:55:06, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1191, decode.acc_seg: 94.6862, aux.loss_ce: 0.0772, aux.acc_seg: 92.1357, loss: 0.1963 2024-03-05 16:23:15,272 - mmseg - INFO - Iter [155350/160000] lr: 1.001e-06, eta: 0:54:30, time: 0.746, data_time: 0.059, memory: 9361, decode.loss_ce: 0.1111, decode.acc_seg: 94.9227, aux.loss_ce: 0.0695, aux.acc_seg: 92.7291, loss: 0.1805 2024-03-05 16:23:49,665 - mmseg - INFO - Iter [155400/160000] lr: 9.903e-07, eta: 0:53:55, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1179, decode.acc_seg: 94.6965, aux.loss_ce: 0.0727, aux.acc_seg: 92.4499, loss: 0.1906 2024-03-05 16:24:24,292 - mmseg - INFO - Iter [155450/160000] lr: 9.795e-07, eta: 0:53:20, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1158, decode.acc_seg: 94.7590, aux.loss_ce: 0.0762, aux.acc_seg: 92.1837, loss: 0.1920 2024-03-05 16:24:58,627 - mmseg - INFO - Iter [155500/160000] lr: 9.688e-07, eta: 0:52:45, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1185, decode.acc_seg: 94.8284, aux.loss_ce: 0.0745, aux.acc_seg: 92.4249, loss: 0.1929 2024-03-05 16:25:32,956 - mmseg - INFO - Iter [155550/160000] lr: 9.580e-07, eta: 0:52:10, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1157, decode.acc_seg: 94.8115, aux.loss_ce: 0.0759, aux.acc_seg: 92.2203, loss: 0.1916 2024-03-05 16:26:07,366 - mmseg - INFO - Iter [155600/160000] lr: 9.472e-07, eta: 0:51:34, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1143, decode.acc_seg: 94.9723, aux.loss_ce: 0.0707, aux.acc_seg: 92.7336, loss: 0.1850 2024-03-05 16:26:41,881 - mmseg - INFO - Iter [155650/160000] lr: 9.365e-07, eta: 0:50:59, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1387, decode.acc_seg: 94.2930, aux.loss_ce: 0.0816, aux.acc_seg: 92.0065, loss: 0.2203 2024-03-05 16:27:16,357 - mmseg - INFO - Iter [155700/160000] lr: 9.257e-07, eta: 0:50:24, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1172, decode.acc_seg: 94.6567, aux.loss_ce: 0.0778, aux.acc_seg: 91.8657, loss: 0.1950 2024-03-05 16:27:51,056 - mmseg - INFO - Iter [155750/160000] lr: 9.150e-07, eta: 0:49:49, time: 0.694, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1172, decode.acc_seg: 94.7426, aux.loss_ce: 0.0754, aux.acc_seg: 92.1343, loss: 0.1926 2024-03-05 16:28:25,344 - mmseg - INFO - Iter [155800/160000] lr: 9.042e-07, eta: 0:49:14, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1151, decode.acc_seg: 94.8034, aux.loss_ce: 0.0737, aux.acc_seg: 92.3160, loss: 0.1889 2024-03-05 16:28:59,760 - mmseg - INFO - Iter [155850/160000] lr: 8.934e-07, eta: 0:48:39, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1118, decode.acc_seg: 94.9639, aux.loss_ce: 0.0709, aux.acc_seg: 92.5641, loss: 0.1827 2024-03-05 16:29:34,254 - mmseg - INFO - Iter [155900/160000] lr: 8.827e-07, eta: 0:48:03, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1153, decode.acc_seg: 94.7941, aux.loss_ce: 0.0753, aux.acc_seg: 92.1498, loss: 0.1906 2024-03-05 16:30:08,872 - mmseg - INFO - Iter [155950/160000] lr: 8.719e-07, eta: 0:47:28, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1147, decode.acc_seg: 94.9699, aux.loss_ce: 0.0722, aux.acc_seg: 92.5924, loss: 0.1870 2024-03-05 16:30:43,305 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 16:30:43,306 - mmseg - INFO - Iter [156000/160000] lr: 8.611e-07, eta: 0:46:53, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1228, decode.acc_seg: 94.4827, aux.loss_ce: 0.0785, aux.acc_seg: 91.8927, loss: 0.2013 2024-03-05 16:31:17,560 - mmseg - INFO - Iter [156050/160000] lr: 8.504e-07, eta: 0:46:18, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1176, decode.acc_seg: 94.6473, aux.loss_ce: 0.0744, aux.acc_seg: 92.2381, loss: 0.1920 2024-03-05 16:31:51,807 - mmseg - INFO - Iter [156100/160000] lr: 8.396e-07, eta: 0:45:43, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1151, decode.acc_seg: 94.7385, aux.loss_ce: 0.0748, aux.acc_seg: 92.1560, loss: 0.1899 2024-03-05 16:32:26,099 - mmseg - INFO - Iter [156150/160000] lr: 8.289e-07, eta: 0:45:07, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1063, decode.acc_seg: 95.2328, aux.loss_ce: 0.0676, aux.acc_seg: 92.9175, loss: 0.1739 2024-03-05 16:33:00,339 - mmseg - INFO - Iter [156200/160000] lr: 8.181e-07, eta: 0:44:32, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1097, decode.acc_seg: 95.0283, aux.loss_ce: 0.0686, aux.acc_seg: 92.8572, loss: 0.1783 2024-03-05 16:33:34,823 - mmseg - INFO - Iter [156250/160000] lr: 8.073e-07, eta: 0:43:57, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1151, decode.acc_seg: 94.8327, aux.loss_ce: 0.0709, aux.acc_seg: 92.6389, loss: 0.1860 2024-03-05 16:34:09,023 - mmseg - INFO - Iter [156300/160000] lr: 7.966e-07, eta: 0:43:22, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1131, decode.acc_seg: 94.8359, aux.loss_ce: 0.0721, aux.acc_seg: 92.4028, loss: 0.1852 2024-03-05 16:34:43,555 - mmseg - INFO - Iter [156350/160000] lr: 7.858e-07, eta: 0:42:47, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1189, decode.acc_seg: 94.7363, aux.loss_ce: 0.0760, aux.acc_seg: 92.4353, loss: 0.1949 2024-03-05 16:35:17,887 - mmseg - INFO - Iter [156400/160000] lr: 7.751e-07, eta: 0:42:11, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1187, decode.acc_seg: 94.6828, aux.loss_ce: 0.0752, aux.acc_seg: 92.2313, loss: 0.1939 2024-03-05 16:35:52,161 - mmseg - INFO - Iter [156450/160000] lr: 7.643e-07, eta: 0:41:36, time: 0.685, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1139, decode.acc_seg: 94.8550, aux.loss_ce: 0.0706, aux.acc_seg: 92.6437, loss: 0.1845 2024-03-05 16:36:26,424 - mmseg - INFO - Iter [156500/160000] lr: 7.535e-07, eta: 0:41:01, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1103, decode.acc_seg: 94.9805, aux.loss_ce: 0.0709, aux.acc_seg: 92.7121, loss: 0.1811 2024-03-05 16:37:00,788 - mmseg - INFO - Iter [156550/160000] lr: 7.428e-07, eta: 0:40:26, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1168, decode.acc_seg: 94.7166, aux.loss_ce: 0.0728, aux.acc_seg: 92.4217, loss: 0.1896 2024-03-05 16:37:35,034 - mmseg - INFO - Iter [156600/160000] lr: 7.320e-07, eta: 0:39:51, time: 0.685, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1164, decode.acc_seg: 94.8322, aux.loss_ce: 0.0742, aux.acc_seg: 92.5102, loss: 0.1906 2024-03-05 16:38:12,666 - mmseg - INFO - Iter [156650/160000] lr: 7.212e-07, eta: 0:39:16, time: 0.753, data_time: 0.059, memory: 9361, decode.loss_ce: 0.1107, decode.acc_seg: 94.9276, aux.loss_ce: 0.0694, aux.acc_seg: 92.6898, loss: 0.1801 2024-03-05 16:38:47,032 - mmseg - INFO - Iter [156700/160000] lr: 7.105e-07, eta: 0:38:40, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1169, decode.acc_seg: 94.7309, aux.loss_ce: 0.0730, aux.acc_seg: 92.4047, loss: 0.1899 2024-03-05 16:39:21,437 - mmseg - INFO - Iter [156750/160000] lr: 6.997e-07, eta: 0:38:05, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1152, decode.acc_seg: 94.8810, aux.loss_ce: 0.0738, aux.acc_seg: 92.3714, loss: 0.1890 2024-03-05 16:39:55,992 - mmseg - INFO - Iter [156800/160000] lr: 6.890e-07, eta: 0:37:30, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1098, decode.acc_seg: 95.0206, aux.loss_ce: 0.0685, aux.acc_seg: 92.8839, loss: 0.1784 2024-03-05 16:40:30,459 - mmseg - INFO - Iter [156850/160000] lr: 6.782e-07, eta: 0:36:55, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1137, decode.acc_seg: 94.7976, aux.loss_ce: 0.0746, aux.acc_seg: 92.2040, loss: 0.1883 2024-03-05 16:41:04,750 - mmseg - INFO - Iter [156900/160000] lr: 6.674e-07, eta: 0:36:20, time: 0.686, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1172, decode.acc_seg: 94.8739, aux.loss_ce: 0.0741, aux.acc_seg: 92.5320, loss: 0.1913 2024-03-05 16:41:39,258 - mmseg - INFO - Iter [156950/160000] lr: 6.567e-07, eta: 0:35:45, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1192, decode.acc_seg: 94.7564, aux.loss_ce: 0.0745, aux.acc_seg: 92.3327, loss: 0.1938 2024-03-05 16:42:13,629 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 16:42:13,630 - mmseg - INFO - Iter [157000/160000] lr: 6.459e-07, eta: 0:35:09, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1116, decode.acc_seg: 95.0092, aux.loss_ce: 0.0729, aux.acc_seg: 92.5716, loss: 0.1845 2024-03-05 16:42:48,246 - mmseg - INFO - Iter [157050/160000] lr: 6.352e-07, eta: 0:34:34, time: 0.692, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1150, decode.acc_seg: 94.7165, aux.loss_ce: 0.0713, aux.acc_seg: 92.4810, loss: 0.1863 2024-03-05 16:43:22,825 - mmseg - INFO - Iter [157100/160000] lr: 6.244e-07, eta: 0:33:59, time: 0.692, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1184, decode.acc_seg: 94.6468, aux.loss_ce: 0.0724, aux.acc_seg: 92.4601, loss: 0.1908 2024-03-05 16:43:57,319 - mmseg - INFO - Iter [157150/160000] lr: 6.136e-07, eta: 0:33:24, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1177, decode.acc_seg: 94.7541, aux.loss_ce: 0.0768, aux.acc_seg: 92.0946, loss: 0.1945 2024-03-05 16:44:31,768 - mmseg - INFO - Iter [157200/160000] lr: 6.029e-07, eta: 0:32:49, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1157, decode.acc_seg: 94.7767, aux.loss_ce: 0.0728, aux.acc_seg: 92.4855, loss: 0.1885 2024-03-05 16:45:06,209 - mmseg - INFO - Iter [157250/160000] lr: 5.921e-07, eta: 0:32:13, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1183, decode.acc_seg: 94.6815, aux.loss_ce: 0.0748, aux.acc_seg: 92.2034, loss: 0.1930 2024-03-05 16:45:40,815 - mmseg - INFO - Iter [157300/160000] lr: 5.813e-07, eta: 0:31:38, time: 0.692, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1075, decode.acc_seg: 95.1185, aux.loss_ce: 0.0676, aux.acc_seg: 93.0041, loss: 0.1752 2024-03-05 16:46:15,303 - mmseg - INFO - Iter [157350/160000] lr: 5.706e-07, eta: 0:31:03, time: 0.690, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1183, decode.acc_seg: 94.6897, aux.loss_ce: 0.0716, aux.acc_seg: 92.5465, loss: 0.1899 2024-03-05 16:46:49,713 - mmseg - INFO - Iter [157400/160000] lr: 5.598e-07, eta: 0:30:28, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1115, decode.acc_seg: 94.9111, aux.loss_ce: 0.0723, aux.acc_seg: 92.3709, loss: 0.1838 2024-03-05 16:47:24,033 - mmseg - INFO - Iter [157450/160000] lr: 5.491e-07, eta: 0:29:53, time: 0.687, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1171, decode.acc_seg: 94.8402, aux.loss_ce: 0.0722, aux.acc_seg: 92.6011, loss: 0.1893 2024-03-05 16:47:58,360 - mmseg - INFO - Iter [157500/160000] lr: 5.383e-07, eta: 0:29:18, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1157, decode.acc_seg: 94.7335, aux.loss_ce: 0.0751, aux.acc_seg: 92.2021, loss: 0.1908 2024-03-05 16:48:32,833 - mmseg - INFO - Iter [157550/160000] lr: 5.275e-07, eta: 0:28:42, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1198, decode.acc_seg: 94.5131, aux.loss_ce: 0.0770, aux.acc_seg: 92.0481, loss: 0.1967 2024-03-05 16:49:07,362 - mmseg - INFO - Iter [157600/160000] lr: 5.168e-07, eta: 0:28:07, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1122, decode.acc_seg: 94.8955, aux.loss_ce: 0.0714, aux.acc_seg: 92.5503, loss: 0.1836 2024-03-05 16:49:41,910 - mmseg - INFO - Iter [157650/160000] lr: 5.060e-07, eta: 0:27:32, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1086, decode.acc_seg: 94.9553, aux.loss_ce: 0.0689, aux.acc_seg: 92.6267, loss: 0.1775 2024-03-05 16:50:16,461 - mmseg - INFO - Iter [157700/160000] lr: 4.953e-07, eta: 0:26:57, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1196, decode.acc_seg: 94.7741, aux.loss_ce: 0.0771, aux.acc_seg: 92.2289, loss: 0.1967 2024-03-05 16:50:51,090 - mmseg - INFO - Iter [157750/160000] lr: 4.845e-07, eta: 0:26:22, time: 0.693, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1160, decode.acc_seg: 94.9386, aux.loss_ce: 0.0732, aux.acc_seg: 92.6268, loss: 0.1892 2024-03-05 16:51:25,650 - mmseg - INFO - Iter [157800/160000] lr: 4.737e-07, eta: 0:25:47, time: 0.691, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1099, decode.acc_seg: 95.0056, aux.loss_ce: 0.0688, aux.acc_seg: 92.7542, loss: 0.1787 2024-03-05 16:52:00,048 - mmseg - INFO - Iter [157850/160000] lr: 4.630e-07, eta: 0:25:11, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1126, decode.acc_seg: 94.9379, aux.loss_ce: 0.0725, aux.acc_seg: 92.5187, loss: 0.1851 2024-03-05 16:52:37,364 - mmseg - INFO - Iter [157900/160000] lr: 4.522e-07, eta: 0:24:36, time: 0.746, data_time: 0.063, memory: 9361, decode.loss_ce: 0.1141, decode.acc_seg: 94.8148, aux.loss_ce: 0.0700, aux.acc_seg: 92.6048, loss: 0.1841 2024-03-05 16:53:12,019 - mmseg - INFO - Iter [157950/160000] lr: 4.414e-07, eta: 0:24:01, time: 0.693, data_time: 0.011, memory: 9361, decode.loss_ce: 0.1140, decode.acc_seg: 94.7732, aux.loss_ce: 0.0727, aux.acc_seg: 92.3930, loss: 0.1866 2024-03-05 16:53:46,486 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 16:53:46,487 - mmseg - INFO - Iter [158000/160000] lr: 4.307e-07, eta: 0:23:26, time: 0.689, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1186, decode.acc_seg: 94.6003, aux.loss_ce: 0.0744, aux.acc_seg: 92.1758, loss: 0.1929 2024-03-05 16:54:21,003 - mmseg - INFO - Iter [158050/160000] lr: 4.199e-07, eta: 0:22:51, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1057, decode.acc_seg: 95.1710, aux.loss_ce: 0.0648, aux.acc_seg: 93.1947, loss: 0.1705 2024-03-05 16:54:55,390 - mmseg - INFO - Iter [158100/160000] lr: 4.092e-07, eta: 0:22:16, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1257, decode.acc_seg: 94.5084, aux.loss_ce: 0.0755, aux.acc_seg: 92.4087, loss: 0.2012 2024-03-05 16:55:29,812 - mmseg - INFO - Iter [158150/160000] lr: 3.984e-07, eta: 0:21:40, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1166, decode.acc_seg: 94.8188, aux.loss_ce: 0.0738, aux.acc_seg: 92.4650, loss: 0.1904 2024-03-05 16:56:04,220 - mmseg - INFO - Iter [158200/160000] lr: 3.876e-07, eta: 0:21:05, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1123, decode.acc_seg: 94.9739, aux.loss_ce: 0.0713, aux.acc_seg: 92.6199, loss: 0.1836 2024-03-05 16:56:38,590 - mmseg - INFO - Iter [158250/160000] lr: 3.769e-07, eta: 0:20:30, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1125, decode.acc_seg: 94.9928, aux.loss_ce: 0.0734, aux.acc_seg: 92.4447, loss: 0.1859 2024-03-05 16:57:13,036 - mmseg - INFO - Iter [158300/160000] lr: 3.661e-07, eta: 0:19:55, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1116, decode.acc_seg: 94.9376, aux.loss_ce: 0.0706, aux.acc_seg: 92.6256, loss: 0.1822 2024-03-05 16:57:47,423 - mmseg - INFO - Iter [158350/160000] lr: 3.554e-07, eta: 0:19:20, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1210, decode.acc_seg: 94.6242, aux.loss_ce: 0.0780, aux.acc_seg: 91.9549, loss: 0.1990 2024-03-05 16:58:21,847 - mmseg - INFO - Iter [158400/160000] lr: 3.446e-07, eta: 0:18:45, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1144, decode.acc_seg: 94.7116, aux.loss_ce: 0.0718, aux.acc_seg: 92.4203, loss: 0.1862 2024-03-05 16:58:56,302 - mmseg - INFO - Iter [158450/160000] lr: 3.338e-07, eta: 0:18:09, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1116, decode.acc_seg: 94.9220, aux.loss_ce: 0.0703, aux.acc_seg: 92.6796, loss: 0.1819 2024-03-05 16:59:30,785 - mmseg - INFO - Iter [158500/160000] lr: 3.231e-07, eta: 0:17:34, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1129, decode.acc_seg: 94.9981, aux.loss_ce: 0.0708, aux.acc_seg: 92.7667, loss: 0.1837 2024-03-05 17:00:05,273 - mmseg - INFO - Iter [158550/160000] lr: 3.123e-07, eta: 0:16:59, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1138, decode.acc_seg: 94.9182, aux.loss_ce: 0.0710, aux.acc_seg: 92.6191, loss: 0.1848 2024-03-05 17:00:39,755 - mmseg - INFO - Iter [158600/160000] lr: 3.015e-07, eta: 0:16:24, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1174, decode.acc_seg: 94.6905, aux.loss_ce: 0.0745, aux.acc_seg: 92.2831, loss: 0.1919 2024-03-05 17:01:14,212 - mmseg - INFO - Iter [158650/160000] lr: 2.908e-07, eta: 0:15:49, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1184, decode.acc_seg: 94.7428, aux.loss_ce: 0.0728, aux.acc_seg: 92.4232, loss: 0.1912 2024-03-05 17:01:48,583 - mmseg - INFO - Iter [158700/160000] lr: 2.800e-07, eta: 0:15:14, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1178, decode.acc_seg: 94.8208, aux.loss_ce: 0.0738, aux.acc_seg: 92.4631, loss: 0.1916 2024-03-05 17:02:23,075 - mmseg - INFO - Iter [158750/160000] lr: 2.693e-07, eta: 0:14:38, time: 0.690, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1140, decode.acc_seg: 94.9353, aux.loss_ce: 0.0715, aux.acc_seg: 92.5519, loss: 0.1855 2024-03-05 17:02:57,446 - mmseg - INFO - Iter [158800/160000] lr: 2.585e-07, eta: 0:14:03, time: 0.687, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1169, decode.acc_seg: 94.7151, aux.loss_ce: 0.0733, aux.acc_seg: 92.2805, loss: 0.1902 2024-03-05 17:03:31,861 - mmseg - INFO - Iter [158850/160000] lr: 2.477e-07, eta: 0:13:28, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1241, decode.acc_seg: 94.4163, aux.loss_ce: 0.0779, aux.acc_seg: 91.9327, loss: 0.2020 2024-03-05 17:04:06,175 - mmseg - INFO - Iter [158900/160000] lr: 2.370e-07, eta: 0:12:53, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1164, decode.acc_seg: 94.8688, aux.loss_ce: 0.0725, aux.acc_seg: 92.6306, loss: 0.1889 2024-03-05 17:04:40,649 - mmseg - INFO - Iter [158950/160000] lr: 2.262e-07, eta: 0:12:18, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1142, decode.acc_seg: 94.9202, aux.loss_ce: 0.0730, aux.acc_seg: 92.5750, loss: 0.1872 2024-03-05 17:05:14,864 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 17:05:14,864 - mmseg - INFO - Iter [159000/160000] lr: 2.154e-07, eta: 0:11:43, time: 0.684, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1188, decode.acc_seg: 94.7604, aux.loss_ce: 0.0755, aux.acc_seg: 92.3106, loss: 0.1942 2024-03-05 17:05:49,329 - mmseg - INFO - Iter [159050/160000] lr: 2.047e-07, eta: 0:11:07, time: 0.689, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1155, decode.acc_seg: 94.8679, aux.loss_ce: 0.0726, aux.acc_seg: 92.5494, loss: 0.1881 2024-03-05 17:06:23,792 - mmseg - INFO - Iter [159100/160000] lr: 1.939e-07, eta: 0:10:32, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1152, decode.acc_seg: 94.8409, aux.loss_ce: 0.0731, aux.acc_seg: 92.5090, loss: 0.1883 2024-03-05 17:07:01,130 - mmseg - INFO - Iter [159150/160000] lr: 1.832e-07, eta: 0:09:57, time: 0.747, data_time: 0.064, memory: 9361, decode.loss_ce: 0.1149, decode.acc_seg: 94.7270, aux.loss_ce: 0.0724, aux.acc_seg: 92.4225, loss: 0.1873 2024-03-05 17:07:35,425 - mmseg - INFO - Iter [159200/160000] lr: 1.724e-07, eta: 0:09:22, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1148, decode.acc_seg: 94.7294, aux.loss_ce: 0.0721, aux.acc_seg: 92.5440, loss: 0.1868 2024-03-05 17:08:09,843 - mmseg - INFO - Iter [159250/160000] lr: 1.616e-07, eta: 0:08:47, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1149, decode.acc_seg: 94.8509, aux.loss_ce: 0.0732, aux.acc_seg: 92.4340, loss: 0.1882 2024-03-05 17:08:44,214 - mmseg - INFO - Iter [159300/160000] lr: 1.509e-07, eta: 0:08:12, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1180, decode.acc_seg: 94.7827, aux.loss_ce: 0.0723, aux.acc_seg: 92.6007, loss: 0.1902 2024-03-05 17:09:18,611 - mmseg - INFO - Iter [159350/160000] lr: 1.401e-07, eta: 0:07:37, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1139, decode.acc_seg: 94.9498, aux.loss_ce: 0.0739, aux.acc_seg: 92.3905, loss: 0.1879 2024-03-05 17:09:53,086 - mmseg - INFO - Iter [159400/160000] lr: 1.294e-07, eta: 0:07:01, time: 0.690, data_time: 0.010, memory: 9361, decode.loss_ce: 0.1091, decode.acc_seg: 95.0349, aux.loss_ce: 0.0676, aux.acc_seg: 92.8498, loss: 0.1767 2024-03-05 17:10:27,546 - mmseg - INFO - Iter [159450/160000] lr: 1.186e-07, eta: 0:06:26, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1151, decode.acc_seg: 94.8502, aux.loss_ce: 0.0707, aux.acc_seg: 92.6179, loss: 0.1858 2024-03-05 17:11:01,900 - mmseg - INFO - Iter [159500/160000] lr: 1.078e-07, eta: 0:05:51, time: 0.687, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1118, decode.acc_seg: 95.0003, aux.loss_ce: 0.0691, aux.acc_seg: 92.8003, loss: 0.1809 2024-03-05 17:11:36,275 - mmseg - INFO - Iter [159550/160000] lr: 9.707e-08, eta: 0:05:16, time: 0.688, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1233, decode.acc_seg: 94.5679, aux.loss_ce: 0.0759, aux.acc_seg: 92.2085, loss: 0.1992 2024-03-05 17:12:10,576 - mmseg - INFO - Iter [159600/160000] lr: 8.631e-08, eta: 0:04:41, time: 0.686, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1165, decode.acc_seg: 94.7583, aux.loss_ce: 0.0721, aux.acc_seg: 92.5675, loss: 0.1886 2024-03-05 17:12:45,017 - mmseg - INFO - Iter [159650/160000] lr: 7.555e-08, eta: 0:04:06, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1150, decode.acc_seg: 94.9511, aux.loss_ce: 0.0723, aux.acc_seg: 92.6424, loss: 0.1873 2024-03-05 17:13:19,574 - mmseg - INFO - Iter [159700/160000] lr: 6.479e-08, eta: 0:03:30, time: 0.691, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1190, decode.acc_seg: 94.5281, aux.loss_ce: 0.0751, aux.acc_seg: 92.0424, loss: 0.1941 2024-03-05 17:13:54,221 - mmseg - INFO - Iter [159750/160000] lr: 5.402e-08, eta: 0:02:55, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1143, decode.acc_seg: 94.8215, aux.loss_ce: 0.0711, aux.acc_seg: 92.5737, loss: 0.1854 2024-03-05 17:14:28,611 - mmseg - INFO - Iter [159800/160000] lr: 4.326e-08, eta: 0:02:20, time: 0.688, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1172, decode.acc_seg: 94.7827, aux.loss_ce: 0.0735, aux.acc_seg: 92.4933, loss: 0.1907 2024-03-05 17:15:03,269 - mmseg - INFO - Iter [159850/160000] lr: 3.250e-08, eta: 0:01:45, time: 0.693, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1163, decode.acc_seg: 94.6578, aux.loss_ce: 0.0749, aux.acc_seg: 92.0671, loss: 0.1911 2024-03-05 17:15:37,800 - mmseg - INFO - Iter [159900/160000] lr: 2.174e-08, eta: 0:01:10, time: 0.690, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1170, decode.acc_seg: 94.7282, aux.loss_ce: 0.0751, aux.acc_seg: 92.3129, loss: 0.1921 2024-03-05 17:16:12,253 - mmseg - INFO - Iter [159950/160000] lr: 1.098e-08, eta: 0:00:35, time: 0.689, data_time: 0.009, memory: 9361, decode.loss_ce: 0.1146, decode.acc_seg: 94.9223, aux.loss_ce: 0.0737, aux.acc_seg: 92.4870, loss: 0.1883 2024-03-05 17:16:46,522 - mmseg - INFO - Saving checkpoint at 160000 iterations 2024-03-05 17:17:25,283 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 17:17:25,284 - mmseg - INFO - Iter [160000/160000] lr: 2.152e-10, eta: 0:00:00, time: 1.461, data_time: 0.008, memory: 9361, decode.loss_ce: 0.1140, decode.acc_seg: 94.8375, aux.loss_ce: 0.0716, aux.acc_seg: 92.4871, loss: 0.1856 2024-03-05 17:20:36,304 - mmseg - INFO - per class results: 2024-03-05 17:20:36,313 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.83 | 89.05 | | building | 82.14 | 92.27 | | sky | 94.4 | 97.59 | | floor | 81.02 | 91.76 | | tree | 74.36 | 87.58 | | ceiling | 83.09 | 92.28 | | road | 84.34 | 91.25 | | bed | 89.47 | 95.65 | | windowpane | 64.32 | 80.3 | | grass | 66.74 | 82.79 | | cabinet | 59.79 | 71.61 | | sidewalk | 66.16 | 81.67 | | person | 81.44 | 93.3 | | earth | 37.84 | 51.42 | | door | 50.15 | 63.76 | | table | 63.23 | 78.92 | | mountain | 60.45 | 74.84 | | plant | 50.41 | 62.87 | | curtain | 74.66 | 86.33 | | chair | 59.27 | 72.5 | | car | 85.54 | 92.24 | | water | 48.9 | 63.35 | | painting | 73.55 | 87.39 | | sofa | 70.37 | 84.36 | | shelf | 45.15 | 62.86 | | house | 42.42 | 55.77 | | sea | 53.14 | 80.07 | | mirror | 65.44 | 72.53 | | rug | 50.42 | 59.94 | | field | 29.27 | 46.23 | | armchair | 45.86 | 64.07 | | seat | 63.24 | 81.96 | | fence | 44.88 | 58.45 | | desk | 53.5 | 72.9 | | rock | 41.47 | 65.71 | | wardrobe | 45.7 | 64.73 | | lamp | 67.11 | 77.62 | | bathtub | 77.87 | 84.41 | | railing | 33.01 | 43.55 | | cushion | 58.37 | 71.24 | | base | 28.4 | 37.45 | | box | 28.78 | 36.01 | | column | 45.15 | 53.98 | | signboard | 36.81 | 50.28 | | chest of drawers | 43.55 | 62.01 | | counter | 34.59 | 42.92 | | sand | 46.97 | 62.3 | | sink | 73.15 | 81.66 | | skyscraper | 49.62 | 63.42 | | fireplace | 73.71 | 87.71 | | refrigerator | 74.05 | 82.54 | | grandstand | 42.71 | 68.82 | | path | 11.27 | 16.33 | | stairs | 30.44 | 39.18 | | runway | 69.77 | 93.43 | | case | 50.73 | 61.46 | | pool table | 92.68 | 96.16 | | pillow | 56.19 | 66.46 | | screen door | 75.32 | 77.48 | | stairway | 30.79 | 36.41 | | river | 11.97 | 20.82 | | bridge | 54.5 | 60.07 | | bookcase | 38.69 | 52.46 | | blind | 47.88 | 51.17 | | coffee table | 65.0 | 80.49 | | toilet | 87.05 | 91.61 | | flower | 41.45 | 55.51 | | book | 48.21 | 70.03 | | hill | 6.52 | 10.0 | | bench | 44.47 | 54.15 | | countertop | 52.28 | 67.46 | | stove | 77.43 | 82.95 | | palm | 50.39 | 78.64 | | kitchen island | 48.17 | 74.13 | | computer | 69.2 | 77.7 | | swivel chair | 43.85 | 60.52 | | boat | 70.24 | 86.46 | | bar | 30.29 | 38.83 | | arcade machine | 41.73 | 43.68 | | hovel | 36.51 | 40.71 | | bus | 85.48 | 96.45 | | towel | 65.37 | 74.88 | | light | 55.99 | 65.32 | | truck | 38.13 | 47.51 | | tower | 38.95 | 52.9 | | chandelier | 67.01 | 83.28 | | awning | 20.13 | 24.65 | | streetlight | 30.65 | 39.92 | | booth | 55.3 | 64.76 | | television receiver | 69.53 | 81.36 | | airplane | 47.42 | 69.03 | | dirt track | 14.37 | 24.09 | | apparel | 42.13 | 57.73 | | pole | 25.1 | 35.5 | | land | 6.06 | 8.0 | | bannister | 15.17 | 20.06 | | escalator | 29.7 | 34.67 | | ottoman | 49.02 | 65.2 | | bottle | 35.98 | 54.1 | | buffet | 34.29 | 39.97 | | poster | 35.56 | 43.02 | | stage | 21.99 | 27.55 | | van | 44.23 | 61.99 | | ship | 86.02 | 90.92 | | fountain | 19.95 | 20.22 | | conveyer belt | 57.07 | 91.01 | | canopy | 14.3 | 17.95 | | washer | 69.02 | 69.51 | | plaything | 25.41 | 34.72 | | swimming pool | 34.52 | 49.79 | | stool | 38.06 | 55.81 | | barrel | 42.12 | 75.09 | | basket | 33.24 | 40.35 | | waterfall | 60.4 | 72.22 | | tent | 95.29 | 98.41 | | bag | 15.91 | 18.58 | | minibike | 69.92 | 85.01 | | cradle | 67.75 | 83.77 | | oven | 47.33 | 71.74 | | ball | 49.08 | 64.37 | | food | 47.63 | 57.62 | | step | 17.96 | 21.89 | | tank | 47.59 | 53.38 | | trade name | 27.38 | 33.1 | | microwave | 38.41 | 41.12 | | pot | 41.57 | 50.01 | | animal | 59.5 | 61.45 | | bicycle | 54.23 | 75.97 | | lake | 50.12 | 63.97 | | dishwasher | 73.28 | 77.86 | | screen | 53.11 | 66.55 | | blanket | 15.39 | 17.07 | | sculpture | 63.26 | 75.53 | | hood | 56.56 | 68.24 | | sconce | 48.78 | 59.93 | | vase | 37.99 | 54.35 | | traffic light | 35.24 | 51.3 | | tray | 9.61 | 23.27 | | ashcan | 42.38 | 56.64 | | fan | 63.92 | 78.0 | | pier | 39.84 | 61.91 | | crt screen | 4.45 | 8.81 | | plate | 51.37 | 71.1 | | monitor | 37.5 | 57.4 | | bulletin board | 47.92 | 56.37 | | shower | 11.23 | 12.56 | | radiator | 61.84 | 68.84 | | glass | 16.09 | 17.43 | | clock | 39.13 | 45.67 | | flag | 30.97 | 33.6 | +---------------------+-------+-------+ 2024-03-05 17:20:36,314 - mmseg - INFO - Summary: 2024-03-05 17:20:36,314 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.22 | 49.56 | 61.15 | +-------+-------+-------+ 2024-03-05 17:20:36,331 - mmseg - INFO - Exp name: dp0.2_lr8e-5_wd0.01_noema_nonorm_ld0.9.py 2024-03-05 17:20:36,332 - mmseg - INFO - Iter(val) [500] aAcc: 0.8322, mIoU: 0.4956, mAcc: 0.6115, IoU.wall: 0.7783, IoU.building: 0.8214, IoU.sky: 0.9440, IoU.floor: 0.8102, IoU.tree: 0.7436, IoU.ceiling: 0.8309, IoU.road: 0.8434, IoU.bed : 0.8947, IoU.windowpane: 0.6432, IoU.grass: 0.6674, IoU.cabinet: 0.5979, IoU.sidewalk: 0.6616, IoU.person: 0.8144, IoU.earth: 0.3784, IoU.door: 0.5015, IoU.table: 0.6323, IoU.mountain: 0.6045, IoU.plant: 0.5041, IoU.curtain: 0.7466, IoU.chair: 0.5927, IoU.car: 0.8554, IoU.water: 0.4890, IoU.painting: 0.7355, IoU.sofa: 0.7037, IoU.shelf: 0.4515, IoU.house: 0.4242, IoU.sea: 0.5314, IoU.mirror: 0.6544, IoU.rug: 0.5042, IoU.field: 0.2927, IoU.armchair: 0.4586, IoU.seat: 0.6324, IoU.fence: 0.4488, IoU.desk: 0.5350, IoU.rock: 0.4147, IoU.wardrobe: 0.4570, IoU.lamp: 0.6711, IoU.bathtub: 0.7787, IoU.railing: 0.3301, IoU.cushion: 0.5837, IoU.base: 0.2840, IoU.box: 0.2878, IoU.column: 0.4515, IoU.signboard: 0.3681, IoU.chest of drawers: 0.4355, IoU.counter: 0.3459, IoU.sand: 0.4697, IoU.sink: 0.7315, IoU.skyscraper: 0.4962, IoU.fireplace: 0.7371, IoU.refrigerator: 0.7405, IoU.grandstand: 0.4271, IoU.path: 0.1127, IoU.stairs: 0.3044, IoU.runway: 0.6977, IoU.case: 0.5073, IoU.pool table: 0.9268, IoU.pillow: 0.5619, IoU.screen door: 0.7532, IoU.stairway: 0.3079, IoU.river: 0.1197, IoU.bridge: 0.5450, IoU.bookcase: 0.3869, IoU.blind: 0.4788, IoU.coffee table: 0.6500, IoU.toilet: 0.8705, IoU.flower: 0.4145, IoU.book: 0.4821, IoU.hill: 0.0652, IoU.bench: 0.4447, IoU.countertop: 0.5228, IoU.stove: 0.7743, IoU.palm: 0.5039, IoU.kitchen island: 0.4817, IoU.computer: 0.6920, IoU.swivel chair: 0.4385, IoU.boat: 0.7024, IoU.bar: 0.3029, IoU.arcade machine: 0.4173, IoU.hovel: 0.3651, IoU.bus: 0.8548, IoU.towel: 0.6537, IoU.light: 0.5599, IoU.truck: 0.3813, IoU.tower: 0.3895, IoU.chandelier: 0.6701, IoU.awning: 0.2013, IoU.streetlight: 0.3065, IoU.booth: 0.5530, IoU.television receiver: 0.6953, IoU.airplane: 0.4742, IoU.dirt track: 0.1437, IoU.apparel: 0.4213, IoU.pole: 0.2510, IoU.land: 0.0606, IoU.bannister: 0.1517, IoU.escalator: 0.2970, IoU.ottoman: 0.4902, IoU.bottle: 0.3598, IoU.buffet: 0.3429, IoU.poster: 0.3556, IoU.stage: 0.2199, IoU.van: 0.4423, IoU.ship: 0.8602, IoU.fountain: 0.1995, IoU.conveyer belt: 0.5707, IoU.canopy: 0.1430, IoU.washer: 0.6902, IoU.plaything: 0.2541, IoU.swimming pool: 0.3452, IoU.stool: 0.3806, IoU.barrel: 0.4212, IoU.basket: 0.3324, IoU.waterfall: 0.6040, IoU.tent: 0.9529, IoU.bag: 0.1591, IoU.minibike: 0.6992, IoU.cradle: 0.6775, IoU.oven: 0.4733, IoU.ball: 0.4908, IoU.food: 0.4763, IoU.step: 0.1796, IoU.tank: 0.4759, IoU.trade name: 0.2738, IoU.microwave: 0.3841, IoU.pot: 0.4157, IoU.animal: 0.5950, IoU.bicycle: 0.5423, IoU.lake: 0.5012, IoU.dishwasher: 0.7328, IoU.screen: 0.5311, IoU.blanket: 0.1539, IoU.sculpture: 0.6326, IoU.hood: 0.5656, IoU.sconce: 0.4878, IoU.vase: 0.3799, IoU.traffic light: 0.3524, IoU.tray: 0.0961, IoU.ashcan: 0.4238, IoU.fan: 0.6392, IoU.pier: 0.3984, IoU.crt screen: 0.0445, IoU.plate: 0.5137, IoU.monitor: 0.3750, IoU.bulletin board: 0.4792, IoU.shower: 0.1123, IoU.radiator: 0.6184, IoU.glass: 0.1609, IoU.clock: 0.3913, IoU.flag: 0.3097, Acc.wall: 0.8905, Acc.building: 0.9227, Acc.sky: 0.9759, Acc.floor: 0.9176, Acc.tree: 0.8758, Acc.ceiling: 0.9228, Acc.road: 0.9125, Acc.bed : 0.9565, Acc.windowpane: 0.8030, Acc.grass: 0.8279, Acc.cabinet: 0.7161, Acc.sidewalk: 0.8167, Acc.person: 0.9330, Acc.earth: 0.5142, Acc.door: 0.6376, Acc.table: 0.7892, Acc.mountain: 0.7484, Acc.plant: 0.6287, Acc.curtain: 0.8633, Acc.chair: 0.7250, Acc.car: 0.9224, Acc.water: 0.6335, Acc.painting: 0.8739, Acc.sofa: 0.8436, Acc.shelf: 0.6286, Acc.house: 0.5577, Acc.sea: 0.8007, Acc.mirror: 0.7253, Acc.rug: 0.5994, Acc.field: 0.4623, Acc.armchair: 0.6407, Acc.seat: 0.8196, Acc.fence: 0.5845, Acc.desk: 0.7290, Acc.rock: 0.6571, Acc.wardrobe: 0.6473, Acc.lamp: 0.7762, Acc.bathtub: 0.8441, Acc.railing: 0.4355, Acc.cushion: 0.7124, Acc.base: 0.3745, Acc.box: 0.3601, Acc.column: 0.5398, Acc.signboard: 0.5028, Acc.chest of drawers: 0.6201, Acc.counter: 0.4292, Acc.sand: 0.6230, Acc.sink: 0.8166, Acc.skyscraper: 0.6342, Acc.fireplace: 0.8771, Acc.refrigerator: 0.8254, Acc.grandstand: 0.6882, Acc.path: 0.1633, Acc.stairs: 0.3918, Acc.runway: 0.9343, Acc.case: 0.6146, Acc.pool table: 0.9616, Acc.pillow: 0.6646, Acc.screen door: 0.7748, Acc.stairway: 0.3641, Acc.river: 0.2082, Acc.bridge: 0.6007, Acc.bookcase: 0.5246, Acc.blind: 0.5117, Acc.coffee table: 0.8049, Acc.toilet: 0.9161, Acc.flower: 0.5551, Acc.book: 0.7003, Acc.hill: 0.1000, Acc.bench: 0.5415, Acc.countertop: 0.6746, Acc.stove: 0.8295, Acc.palm: 0.7864, Acc.kitchen island: 0.7413, Acc.computer: 0.7770, Acc.swivel chair: 0.6052, Acc.boat: 0.8646, Acc.bar: 0.3883, Acc.arcade machine: 0.4368, Acc.hovel: 0.4071, Acc.bus: 0.9645, Acc.towel: 0.7488, Acc.light: 0.6532, Acc.truck: 0.4751, Acc.tower: 0.5290, Acc.chandelier: 0.8328, Acc.awning: 0.2465, Acc.streetlight: 0.3992, Acc.booth: 0.6476, Acc.television receiver: 0.8136, Acc.airplane: 0.6903, Acc.dirt track: 0.2409, Acc.apparel: 0.5773, Acc.pole: 0.3550, Acc.land: 0.0800, Acc.bannister: 0.2006, Acc.escalator: 0.3467, Acc.ottoman: 0.6520, Acc.bottle: 0.5410, Acc.buffet: 0.3997, Acc.poster: 0.4302, Acc.stage: 0.2755, Acc.van: 0.6199, Acc.ship: 0.9092, Acc.fountain: 0.2022, Acc.conveyer belt: 0.9101, Acc.canopy: 0.1795, Acc.washer: 0.6951, Acc.plaything: 0.3472, Acc.swimming pool: 0.4979, Acc.stool: 0.5581, Acc.barrel: 0.7509, Acc.basket: 0.4035, Acc.waterfall: 0.7222, Acc.tent: 0.9841, Acc.bag: 0.1858, Acc.minibike: 0.8501, Acc.cradle: 0.8377, Acc.oven: 0.7174, Acc.ball: 0.6437, Acc.food: 0.5762, Acc.step: 0.2189, Acc.tank: 0.5338, Acc.trade name: 0.3310, Acc.microwave: 0.4112, Acc.pot: 0.5001, Acc.animal: 0.6145, Acc.bicycle: 0.7597, Acc.lake: 0.6397, Acc.dishwasher: 0.7786, Acc.screen: 0.6655, Acc.blanket: 0.1707, Acc.sculpture: 0.7553, Acc.hood: 0.6824, Acc.sconce: 0.5993, Acc.vase: 0.5435, Acc.traffic light: 0.5130, Acc.tray: 0.2327, Acc.ashcan: 0.5664, Acc.fan: 0.7800, Acc.pier: 0.6191, Acc.crt screen: 0.0881, Acc.plate: 0.7110, Acc.monitor: 0.5740, Acc.bulletin board: 0.5637, Acc.shower: 0.1256, Acc.radiator: 0.6884, Acc.glass: 0.1743, Acc.clock: 0.4567, Acc.flag: 0.3360