2023-01-29 17:36:49,193 - mmseg - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.7.0 (default, Oct 9 2018, 10:31:47) [GCC 7.3.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/lustre/share/cuda-11.1 NVCC: Build cuda_11.1.TC455_06.29069683_0 GCC: gcc (GCC) 7.3.0 PyTorch: 1.9.0+cu111 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.1 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.0.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, TorchVision: 0.10.0+cu111 OpenCV: 4.6.0 MMCV: 1.4.2 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.1 MMSegmentation: 0.21.0+abdbbac ------------------------------------------------------------ 2023-01-29 17:36:49,194 - mmseg - INFO - Distributed training: True 2023-01-29 17:36:49,821 - mmseg - INFO - Config: norm_cfg = dict(type='SyncBN', requires_grad=True) model = dict( type='EncoderDecoder', pretrained= 'pretrained/uni-perceiver-large-L24-H1024-224size-pretrained_converted.pth', backbone=dict( type='UniPerceiverAdapter', patch_size=16, embed_dim=1024, depth=24, num_heads=16, mlp_ratio=4, drop_path_rate=0.4, conv_inplane=64, n_points=4, deform_num_heads=16, cffn_ratio=0.25, deform_ratio=0.5, with_cp=True, interaction_indexes=[[0, 5], [6, 11], [12, 17], [18, 23]], window_attn=[ False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False ], window_size=[ None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None ]), decode_head=dict( type='UPerHead', in_channels=[1024, 1024, 1024, 1024], 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=1024, 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 = 'data/ade/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='ResizeToMultiple', size_divisor=32), 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=2, workers_per_gpu=4, train=dict( type='ADE20KDataset', data_root='data/ade/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='data/ade/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='ResizeToMultiple', size_divisor=32), 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='data/ade/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='ResizeToMultiple', size_divisor=32), 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)]) dist_params = dict(backend='nccl') log_level = 'INFO' load_from = None resume_from = None workflow = [('train', 1)] cudnn_benchmark = True optimizer = dict( type='AdamW', lr=6e-05, betas=(0.9, 0.999), weight_decay=0.05, constructor='LayerDecayOptimizerConstructor', paramwise_cfg=dict(num_layers=24, layer_decay_rate=0.8)) optimizer_config = dict() lr_config = dict( policy='poly', warmup='linear', warmup_iters=1500, warmup_ratio=1e-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=1000, max_keep_ckpts=1) evaluation = dict( interval=16000, metric='mIoU', pre_eval=True, save_best='mIoU') pretrained = 'pretrained/uni-perceiver-large-L24-H1024-224size-pretrained_converted.pth' fp16 = dict(loss_scale=dict(init_scale=512)) work_dir = './work_dirs/upernet_uniperceiver_adapter_large_512_160k_ade20k' gpu_ids = range(0, 8) auto_resume = False 2023-01-29 17:37:00,574 - mmseg - INFO - Set random seed to 1390365283, deterministic: True 2023-01-29 17:37:02,331 - mmseg - INFO - load checkpoint from local path: pretrained/uni-perceiver-large-L24-H1024-224size-pretrained_converted.pth 2023-01-29 17:37:05,948 - mmseg - WARNING - The model and loaded state dict do not match exactly unexpected key in source state_dict: visual_embed.embeddings_type.weight 2023-01-29 17:37:06,918 - mmseg - INFO - initialize UPerHead with init_cfg {'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} 2023-01-29 17:37:07,063 - mmseg - INFO - initialize FCNHead with init_cfg {'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} Name of parameter - Initialization information backbone.level_embed - torch.Size([3, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.0.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.1.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.2.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.3.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.4.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.4.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.4.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.4.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.4.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.4.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.4.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.4.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.4.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.4.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.4.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.4.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.4.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.4.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.5.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.5.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.5.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.5.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.5.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.5.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.5.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.5.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.5.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.5.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.5.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.5.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.5.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.5.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.6.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.6.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.6.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.6.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.6.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.6.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.6.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.6.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.6.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.6.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.6.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.6.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.6.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.6.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.7.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.7.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.7.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.7.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.7.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.7.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.7.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.7.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.7.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.7.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.7.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.7.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.7.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.7.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.8.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.8.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.8.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.8.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.8.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.8.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.8.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.8.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.8.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.8.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.8.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.8.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.8.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.8.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.9.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.9.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.9.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.9.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.9.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.9.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.9.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.9.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.9.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.9.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.9.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.9.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.9.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.9.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.10.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.10.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.10.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.10.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.10.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.10.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.10.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.10.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.10.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.10.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.10.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.10.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.10.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.10.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.11.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.11.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.11.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.11.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.11.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.11.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.11.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.11.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.11.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.11.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.11.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.11.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.11.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.11.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.12.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.12.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.12.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.12.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.12.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.12.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.12.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.12.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.12.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.12.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.12.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.12.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.12.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.12.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.13.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.13.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.13.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.13.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.13.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.13.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.13.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.13.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.13.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.13.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.13.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.13.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.13.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.13.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.14.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.14.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.14.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.14.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.14.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.14.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.14.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.14.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.14.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.14.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.14.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.14.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.14.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.14.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.15.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.15.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.15.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.15.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.15.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.15.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.15.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.15.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.15.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.15.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.15.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.15.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.15.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.15.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.16.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.16.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.16.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.16.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.16.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.16.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.16.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.16.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.16.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.16.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.16.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.16.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.16.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.16.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.17.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.17.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.17.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.17.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.17.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.17.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.17.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.17.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.17.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.17.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.17.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.17.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.17.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.17.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.18.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.18.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.18.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.18.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.18.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.18.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.18.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.18.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.18.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.18.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.18.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.18.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.18.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.18.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.19.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.19.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.19.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.19.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.19.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.19.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.19.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.19.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.19.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.19.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.19.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.19.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.19.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.19.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.20.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.20.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.20.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.20.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.20.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.20.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.20.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.20.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.20.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.20.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.20.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.20.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.20.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.20.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.21.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.21.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.21.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.21.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.21.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.21.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.21.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.21.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.21.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.21.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.21.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.21.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.21.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.21.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.22.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.22.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.22.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.22.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.22.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.22.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.22.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.22.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.22.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.22.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.22.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.22.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.22.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.22.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.23.gamma_1 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.23.gamma_2 - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.23.self_attn.in_proj.weight - torch.Size([3072, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.23.self_attn.in_proj.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.23.self_attn.out_proj.weight - torch.Size([1024, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.23.self_attn.out_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.23.linear1.weight - torch.Size([4096, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.23.linear1.bias - torch.Size([4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.23.linear2.weight - torch.Size([1024, 4096]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.23.linear2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.23.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.23.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.23.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.layers.23.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.visual_embed.embeddings_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.visual_embed.embeddings_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.visual_embed.patch_embed.spatial_pos_embed.weight - torch.Size([196, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.visual_embed.patch_embed.temporal_pos_embed.weight - torch.Size([8, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.visual_embed.patch_embed.proj.weight - torch.Size([1024, 3, 16, 16]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.visual_embed.patch_embed.proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.stem.0.weight - torch.Size([64, 3, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.stem.1.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.stem.1.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.stem.3.weight - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.stem.4.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.stem.4.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.stem.6.weight - torch.Size([64, 64, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.stem.7.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.stem.7.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.conv2.0.weight - torch.Size([128, 64, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.conv2.1.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.conv2.1.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.conv3.0.weight - torch.Size([256, 128, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.conv3.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.conv3.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.conv4.0.weight - torch.Size([256, 256, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.conv4.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.conv4.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.fc1.weight - torch.Size([1024, 64, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.fc1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.fc2.weight - torch.Size([1024, 128, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.fc3.weight - torch.Size([1024, 256, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.fc3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.fc4.weight - torch.Size([1024, 256, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.fc4.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.gamma - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.attn.sampling_offsets.weight - torch.Size([384, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.attn.sampling_offsets.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.attn.attention_weights.weight - torch.Size([192, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.attn.attention_weights.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.query_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.query_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.feat_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.feat_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.attn.sampling_offsets.weight - torch.Size([128, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.attn.sampling_offsets.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.attn.attention_weights.weight - torch.Size([64, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.attn.attention_weights.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.attn.value_proj.weight - torch.Size([512, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.attn.value_proj.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.attn.output_proj.weight - torch.Size([1024, 512]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.attn.output_proj.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.ffn.fc1.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.ffn.fc1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.ffn.dwconv.dwconv.weight - torch.Size([256, 1, 3, 3]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.ffn.dwconv.dwconv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.ffn.fc2.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.ffn.fc2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.ffn_norm.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.ffn_norm.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.up.weight - torch.Size([1024, 1024, 2, 2]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.up.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.norm1.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.norm1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.norm2.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.norm2.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.norm3.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.norm3.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.norm4.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.norm4.bias - torch.Size([1024]): 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, 1024, 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, 1024, 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, 1024, 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, 1024, 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, 3072, 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, 1024, 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, 1024, 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, 1024, 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, 1024, 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 2023-01-29 17:37:07,069 - mmseg - INFO - EncoderDecoder( (backbone): UniPerceiverAdapter( (layers): ModuleList( (0): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): Identity() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (1): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (2): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (3): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (4): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (5): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (6): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (7): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (8): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (9): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (10): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (11): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (12): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (13): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (14): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (15): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (16): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (17): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (18): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (19): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (20): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (21): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (22): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) (23): BertLayer( (self_attn): Attention( (in_proj): Linear(in_features=1024, out_features=3072, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (out_proj): Linear(in_features=1024, out_features=1024, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (linear1): Linear(in_features=1024, out_features=4096, bias=True) (act_fn): GELU() (linear2): Linear(in_features=4096, out_features=1024, bias=True) (drop_path): DropPath() (norm1): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (norm2): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) ) ) (visual_embed): VisualPatchEmbedding( (embeddings_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (embeddings_dropout): Dropout(p=0.0, inplace=False) (patch_embed): PatchEmbed( (spatial_pos_embed): Embedding(196, 1024) (temporal_pos_embed): Embedding(8, 1024) (proj): Conv2d(3, 1024, kernel_size=(16, 16), stride=(16, 16)) ) ) (spm): SpatialPriorModule( (stem): Sequential( (0): Conv2d(3, 64, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (1): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) (3): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (4): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (5): ReLU(inplace=True) (6): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (7): SyncBatchNorm(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (8): ReLU(inplace=True) (9): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False) ) (conv2): Sequential( (0): Conv2d(64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (1): SyncBatchNorm(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) ) (conv3): Sequential( (0): Conv2d(128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) ) (conv4): Sequential( (0): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False) (1): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (2): ReLU(inplace=True) ) (fc1): Conv2d(64, 1024, kernel_size=(1, 1), stride=(1, 1)) (fc2): Conv2d(128, 1024, kernel_size=(1, 1), stride=(1, 1)) (fc3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) (fc4): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1)) ) (interactions): Sequential( (0): InteractionBlock( (injector): Injector( (query_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=384, bias=True) (attention_weights): Linear(in_features=1024, out_features=192, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) ) (extractor): Extractor( (query_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) (attention_weights): Linear(in_features=1024, out_features=64, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=1024, out_features=256, bias=True) (dwconv): DWConv( (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) ) (act): GELU() (fc2): Linear(in_features=256, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (drop_path): DropPath() ) ) (1): InteractionBlock( (injector): Injector( (query_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=384, bias=True) (attention_weights): Linear(in_features=1024, out_features=192, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) ) (extractor): Extractor( (query_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) (attention_weights): Linear(in_features=1024, out_features=64, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=1024, out_features=256, bias=True) (dwconv): DWConv( (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) ) (act): GELU() (fc2): Linear(in_features=256, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (drop_path): DropPath() ) ) (2): InteractionBlock( (injector): Injector( (query_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=384, bias=True) (attention_weights): Linear(in_features=1024, out_features=192, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) ) (extractor): Extractor( (query_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) (attention_weights): Linear(in_features=1024, out_features=64, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=1024, out_features=256, bias=True) (dwconv): DWConv( (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) ) (act): GELU() (fc2): Linear(in_features=256, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (drop_path): DropPath() ) ) (3): InteractionBlock( (injector): Injector( (query_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=384, bias=True) (attention_weights): Linear(in_features=1024, out_features=192, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) ) (extractor): Extractor( (query_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) (attention_weights): Linear(in_features=1024, out_features=64, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=1024, out_features=256, bias=True) (dwconv): DWConv( (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) ) (act): GELU() (fc2): Linear(in_features=256, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (drop_path): DropPath() ) (extra_extractors): Sequential( (0): Extractor( (query_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) (attention_weights): Linear(in_features=1024, out_features=64, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=1024, out_features=256, bias=True) (dwconv): DWConv( (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) ) (act): GELU() (fc2): Linear(in_features=256, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (drop_path): DropPath() ) (1): Extractor( (query_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (feat_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=1024, out_features=128, bias=True) (attention_weights): Linear(in_features=1024, out_features=64, bias=True) (value_proj): Linear(in_features=1024, out_features=512, bias=True) (output_proj): Linear(in_features=512, out_features=1024, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=1024, out_features=256, bias=True) (dwconv): DWConv( (dwconv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=256) ) (act): GELU() (fc2): Linear(in_features=256, out_features=1024, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((1024,), eps=1e-05, elementwise_affine=True) (drop_path): DropPath() ) ) ) ) (up): ConvTranspose2d(1024, 1024, kernel_size=(2, 2), stride=(2, 2)) (norm1): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (norm2): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (norm3): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (norm4): SyncBatchNorm(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) ) (decode_head): UPerHead( input_transform=multiple_select, ignore_index=255, align_corners=False (loss_decode): CrossEntropyLoss(avg_non_ignore=False) (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(1024, 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(1024, 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(1024, 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(1024, 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(3072, 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(1024, 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(1024, 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(1024, 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(avg_non_ignore=False) (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(1024, 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'}} ) 2023-01-29 17:37:07,563 - mmseg - INFO - Loaded 20210 images 2023-01-29 17:37:08,883 - mmseg - INFO - Loaded 2000 images 2023-01-29 17:37:08,884 - mmseg - INFO - Start running, host: chenzhe1@SH-IDC1-10-140-1-147, work_dir: /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/segmentation/work_dirs/upernet_uniperceiver_adapter_large_512_160k_ade20k 2023-01-29 17:37:08,884 - mmseg - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) PolyLrUpdaterHook (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) PolyLrUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) PolyLrUpdaterHook (LOW ) IterTimerHook (LOW ) DistEvalHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) CheckpointHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (VERY_LOW ) TextLoggerHook -------------------- after_run: (VERY_LOW ) TextLoggerHook -------------------- 2023-01-29 17:37:08,884 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters 2023-01-29 17:37:08,884 - mmseg - INFO - Checkpoints will be saved to /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/segmentation/work_dirs/upernet_uniperceiver_adapter_large_512_160k_ade20k by HardDiskBackend. 2023-01-29 17:39:47,152 - mmseg - INFO - Iter [50/160000] lr: 1.959e-06, eta: 20:10:39, time: 0.454, data_time: 0.014, memory: 12319, decode.loss_ce: 4.0338, decode.acc_seg: 0.4503, aux.loss_ce: 1.6215, aux.acc_seg: 0.3573, loss: 5.6552 2023-01-29 17:40:08,952 - mmseg - INFO - Iter [100/160000] lr: 3.958e-06, eta: 19:43:57, time: 0.434, data_time: 0.004, memory: 12319, decode.loss_ce: 3.9770, decode.acc_seg: 4.8894, aux.loss_ce: 1.6218, aux.acc_seg: 0.4361, loss: 5.5988 2023-01-29 17:40:30,141 - mmseg - INFO - Iter [150/160000] lr: 5.955e-06, eta: 19:26:24, time: 0.425, data_time: 0.005, memory: 12319, decode.loss_ce: 3.7493, decode.acc_seg: 22.7795, aux.loss_ce: 1.5903, aux.acc_seg: 1.6907, loss: 5.3395 2023-01-29 17:40:50,690 - mmseg - INFO - Iter [200/160000] lr: 7.950e-06, eta: 19:08:28, time: 0.411, data_time: 0.005, memory: 12319, decode.loss_ce: 3.3985, decode.acc_seg: 35.0674, aux.loss_ce: 1.5580, aux.acc_seg: 14.3185, loss: 4.9564 2023-01-29 17:41:11,020 - mmseg - INFO - Iter [250/160000] lr: 9.945e-06, eta: 18:55:01, time: 0.407, data_time: 0.004, memory: 12319, decode.loss_ce: 3.0309, decode.acc_seg: 39.4190, aux.loss_ce: 1.5052, aux.acc_seg: 32.7927, loss: 4.5361 2023-01-29 17:41:31,433 - mmseg - INFO - Iter [300/160000] lr: 1.194e-05, eta: 18:46:39, time: 0.408, data_time: 0.004, memory: 12319, decode.loss_ce: 2.8218, decode.acc_seg: 42.4767, aux.loss_ce: 1.4543, aux.acc_seg: 39.4263, loss: 4.2762 2023-01-29 17:41:51,694 - mmseg - INFO - Iter [350/160000] lr: 1.393e-05, eta: 18:39:25, time: 0.405, data_time: 0.004, memory: 12319, decode.loss_ce: 2.5447, decode.acc_seg: 45.4632, aux.loss_ce: 1.3663, aux.acc_seg: 42.6772, loss: 3.9110 2023-01-29 17:42:11,742 - mmseg - INFO - Iter [400/160000] lr: 1.592e-05, eta: 18:32:00, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 2.3629, decode.acc_seg: 47.4689, aux.loss_ce: 1.3052, aux.acc_seg: 44.2063, loss: 3.6681 2023-01-29 17:42:31,765 - mmseg - INFO - Iter [450/160000] lr: 1.791e-05, eta: 18:26:27, time: 0.400, data_time: 0.005, memory: 12319, decode.loss_ce: 2.1768, decode.acc_seg: 48.6361, aux.loss_ce: 1.2278, aux.acc_seg: 45.0992, loss: 3.4046 2023-01-29 17:42:51,640 - mmseg - INFO - Iter [500/160000] lr: 1.990e-05, eta: 18:21:31, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 2.0137, decode.acc_seg: 50.5361, aux.loss_ce: 1.1736, aux.acc_seg: 47.9119, loss: 3.1873 2023-01-29 17:43:11,525 - mmseg - INFO - Iter [550/160000] lr: 2.188e-05, eta: 18:17:09, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 1.9246, decode.acc_seg: 50.0977, aux.loss_ce: 1.1267, aux.acc_seg: 47.6841, loss: 3.0513 2023-01-29 17:43:31,690 - mmseg - INFO - Iter [600/160000] lr: 2.387e-05, eta: 18:14:37, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 1.7459, decode.acc_seg: 51.7469, aux.loss_ce: 1.0564, aux.acc_seg: 49.0343, loss: 2.8023 2023-01-29 17:43:51,618 - mmseg - INFO - Iter [650/160000] lr: 2.585e-05, eta: 18:11:36, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 1.7372, decode.acc_seg: 51.5657, aux.loss_ce: 1.0353, aux.acc_seg: 48.7171, loss: 2.7725 2023-01-29 17:44:11,426 - mmseg - INFO - Iter [700/160000] lr: 2.784e-05, eta: 18:08:26, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 1.5697, decode.acc_seg: 52.4437, aux.loss_ce: 0.9588, aux.acc_seg: 49.3001, loss: 2.5285 2023-01-29 17:44:31,439 - mmseg - INFO - Iter [750/160000] lr: 2.982e-05, eta: 18:06:23, time: 0.400, data_time: 0.005, memory: 12319, decode.loss_ce: 1.4587, decode.acc_seg: 54.4120, aux.loss_ce: 0.9022, aux.acc_seg: 50.4771, loss: 2.3609 2023-01-29 17:44:51,736 - mmseg - INFO - Iter [800/160000] lr: 3.180e-05, eta: 18:05:24, time: 0.405, data_time: 0.004, memory: 12319, decode.loss_ce: 1.4864, decode.acc_seg: 52.5607, aux.loss_ce: 0.8848, aux.acc_seg: 48.7489, loss: 2.3712 2023-01-29 17:45:12,169 - mmseg - INFO - Iter [850/160000] lr: 3.378e-05, eta: 18:05:04, time: 0.409, data_time: 0.004, memory: 12319, decode.loss_ce: 1.4141, decode.acc_seg: 52.9970, aux.loss_ce: 0.8383, aux.acc_seg: 49.1967, loss: 2.2523 2023-01-29 17:45:32,527 - mmseg - INFO - Iter [900/160000] lr: 3.576e-05, eta: 18:04:27, time: 0.407, data_time: 0.004, memory: 12319, decode.loss_ce: 1.3857, decode.acc_seg: 53.8042, aux.loss_ce: 0.8091, aux.acc_seg: 50.2638, loss: 2.1948 2023-01-29 17:45:52,619 - mmseg - INFO - Iter [950/160000] lr: 3.773e-05, eta: 18:03:07, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 1.3209, decode.acc_seg: 54.6265, aux.loss_ce: 0.7715, aux.acc_seg: 50.4216, loss: 2.0924 2023-01-29 17:46:12,975 - mmseg - INFO - Saving checkpoint at 1000 iterations 2023-01-29 17:46:24,894 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 17:46:24,904 - mmseg - INFO - Iter [1000/160000] lr: 3.971e-05, eta: 18:33:57, time: 0.644, data_time: 0.004, memory: 12319, decode.loss_ce: 1.2685, decode.acc_seg: 54.7260, aux.loss_ce: 0.7390, aux.acc_seg: 49.9718, loss: 2.0075 2023-01-29 17:46:45,765 - mmseg - INFO - Iter [1050/160000] lr: 4.168e-05, eta: 18:33:26, time: 0.419, data_time: 0.006, memory: 12319, decode.loss_ce: 1.2807, decode.acc_seg: 54.2069, aux.loss_ce: 0.7151, aux.acc_seg: 50.7993, loss: 1.9957 2023-01-29 17:47:05,953 - mmseg - INFO - Iter [1100/160000] lr: 4.366e-05, eta: 18:31:05, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 1.2028, decode.acc_seg: 55.1949, aux.loss_ce: 0.6691, aux.acc_seg: 52.2355, loss: 1.8719 2023-01-29 17:47:26,129 - mmseg - INFO - Iter [1150/160000] lr: 4.563e-05, eta: 18:28:54, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 1.2293, decode.acc_seg: 54.9871, aux.loss_ce: 0.6723, aux.acc_seg: 51.3796, loss: 1.9016 2023-01-29 17:47:46,396 - mmseg - INFO - Iter [1200/160000] lr: 4.760e-05, eta: 18:27:03, time: 0.405, data_time: 0.005, memory: 12319, decode.loss_ce: 1.1328, decode.acc_seg: 55.3312, aux.loss_ce: 0.6255, aux.acc_seg: 51.7354, loss: 1.7583 2023-01-29 17:48:06,393 - mmseg - INFO - Iter [1250/160000] lr: 4.957e-05, eta: 18:24:46, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 1.0919, decode.acc_seg: 55.2423, aux.loss_ce: 0.5877, aux.acc_seg: 52.3848, loss: 1.6796 2023-01-29 17:48:28,737 - mmseg - INFO - Iter [1300/160000] lr: 5.154e-05, eta: 18:27:24, time: 0.447, data_time: 0.050, memory: 12319, decode.loss_ce: 1.1135, decode.acc_seg: 55.3462, aux.loss_ce: 0.5869, aux.acc_seg: 52.8490, loss: 1.7003 2023-01-29 17:48:48,518 - mmseg - INFO - Iter [1350/160000] lr: 5.351e-05, eta: 18:24:37, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 1.0870, decode.acc_seg: 55.8043, aux.loss_ce: 0.5697, aux.acc_seg: 52.7255, loss: 1.6567 2023-01-29 17:49:08,208 - mmseg - INFO - Iter [1400/160000] lr: 5.547e-05, eta: 18:22:10, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 1.0604, decode.acc_seg: 56.3742, aux.loss_ce: 0.5531, aux.acc_seg: 53.9967, loss: 1.6135 2023-01-29 17:49:28,175 - mmseg - INFO - Iter [1450/160000] lr: 5.744e-05, eta: 18:20:13, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 1.0108, decode.acc_seg: 58.7230, aux.loss_ce: 0.5287, aux.acc_seg: 55.8899, loss: 1.5395 2023-01-29 17:49:48,317 - mmseg - INFO - Iter [1500/160000] lr: 5.940e-05, eta: 18:18:41, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 1.0708, decode.acc_seg: 55.9881, aux.loss_ce: 0.5408, aux.acc_seg: 53.9813, loss: 1.6116 2023-01-29 17:50:08,226 - mmseg - INFO - Iter [1550/160000] lr: 5.942e-05, eta: 18:16:47, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.9363, decode.acc_seg: 57.4112, aux.loss_ce: 0.4774, aux.acc_seg: 55.2742, loss: 1.4138 2023-01-29 17:50:28,261 - mmseg - INFO - Iter [1600/160000] lr: 5.940e-05, eta: 18:15:12, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.9856, decode.acc_seg: 58.6566, aux.loss_ce: 0.5012, aux.acc_seg: 56.4829, loss: 1.4868 2023-01-29 17:50:48,067 - mmseg - INFO - Iter [1650/160000] lr: 5.938e-05, eta: 18:13:25, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 1.0335, decode.acc_seg: 57.4034, aux.loss_ce: 0.5167, aux.acc_seg: 55.0979, loss: 1.5501 2023-01-29 17:51:07,914 - mmseg - INFO - Iter [1700/160000] lr: 5.936e-05, eta: 18:11:43, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.9618, decode.acc_seg: 57.3614, aux.loss_ce: 0.4871, aux.acc_seg: 55.4120, loss: 1.4489 2023-01-29 17:51:27,630 - mmseg - INFO - Iter [1750/160000] lr: 5.934e-05, eta: 18:09:55, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.9704, decode.acc_seg: 57.9896, aux.loss_ce: 0.4863, aux.acc_seg: 56.1496, loss: 1.4567 2023-01-29 17:51:47,649 - mmseg - INFO - Iter [1800/160000] lr: 5.933e-05, eta: 18:08:38, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.8778, decode.acc_seg: 58.7010, aux.loss_ce: 0.4429, aux.acc_seg: 56.2611, loss: 1.3208 2023-01-29 17:52:07,675 - mmseg - INFO - Iter [1850/160000] lr: 5.931e-05, eta: 18:07:24, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.9200, decode.acc_seg: 59.4243, aux.loss_ce: 0.4685, aux.acc_seg: 56.4302, loss: 1.3885 2023-01-29 17:52:27,556 - mmseg - INFO - Iter [1900/160000] lr: 5.929e-05, eta: 18:06:02, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.9114, decode.acc_seg: 58.1547, aux.loss_ce: 0.4551, aux.acc_seg: 56.1227, loss: 1.3664 2023-01-29 17:52:48,159 - mmseg - INFO - Iter [1950/160000] lr: 5.927e-05, eta: 18:05:41, time: 0.412, data_time: 0.004, memory: 12319, decode.loss_ce: 0.9218, decode.acc_seg: 56.7632, aux.loss_ce: 0.4555, aux.acc_seg: 54.6773, loss: 1.3772 2023-01-29 17:53:08,498 - mmseg - INFO - Saving checkpoint at 2000 iterations 2023-01-29 17:53:19,279 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 17:53:19,279 - mmseg - INFO - Iter [2000/160000] lr: 5.925e-05, eta: 18:19:10, time: 0.622, data_time: 0.004, memory: 12319, decode.loss_ce: 0.9157, decode.acc_seg: 56.6328, aux.loss_ce: 0.4486, aux.acc_seg: 54.1225, loss: 1.3642 2023-01-29 17:53:39,298 - mmseg - INFO - Iter [2050/160000] lr: 5.923e-05, eta: 18:17:44, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.9024, decode.acc_seg: 58.5474, aux.loss_ce: 0.4395, aux.acc_seg: 56.0120, loss: 1.3419 2023-01-29 17:53:59,042 - mmseg - INFO - Iter [2100/160000] lr: 5.921e-05, eta: 18:16:00, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.8786, decode.acc_seg: 58.6709, aux.loss_ce: 0.4437, aux.acc_seg: 55.4247, loss: 1.3223 2023-01-29 17:54:18,827 - mmseg - INFO - Iter [2150/160000] lr: 5.919e-05, eta: 18:14:23, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.8580, decode.acc_seg: 59.6242, aux.loss_ce: 0.4234, aux.acc_seg: 56.9169, loss: 1.2814 2023-01-29 17:54:38,710 - mmseg - INFO - Iter [2200/160000] lr: 5.918e-05, eta: 18:12:56, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.8402, decode.acc_seg: 60.1164, aux.loss_ce: 0.4212, aux.acc_seg: 57.1986, loss: 1.2614 2023-01-29 17:54:58,999 - mmseg - INFO - Iter [2250/160000] lr: 5.916e-05, eta: 18:12:01, time: 0.406, data_time: 0.004, memory: 12319, decode.loss_ce: 0.8186, decode.acc_seg: 60.4037, aux.loss_ce: 0.3996, aux.acc_seg: 58.3779, loss: 1.2183 2023-01-29 17:55:19,211 - mmseg - INFO - Iter [2300/160000] lr: 5.914e-05, eta: 18:11:02, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.8604, decode.acc_seg: 58.6350, aux.loss_ce: 0.4172, aux.acc_seg: 56.4277, loss: 1.2775 2023-01-29 17:55:39,475 - mmseg - INFO - Iter [2350/160000] lr: 5.912e-05, eta: 18:10:08, time: 0.405, data_time: 0.004, memory: 12319, decode.loss_ce: 0.7898, decode.acc_seg: 61.6201, aux.loss_ce: 0.3948, aux.acc_seg: 59.1313, loss: 1.1846 2023-01-29 17:55:59,703 - mmseg - INFO - Iter [2400/160000] lr: 5.910e-05, eta: 18:09:13, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.8185, decode.acc_seg: 61.5054, aux.loss_ce: 0.4094, aux.acc_seg: 58.8260, loss: 1.2279 2023-01-29 17:56:19,735 - mmseg - INFO - Iter [2450/160000] lr: 5.908e-05, eta: 18:08:08, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.7627, decode.acc_seg: 60.7022, aux.loss_ce: 0.3837, aux.acc_seg: 57.6155, loss: 1.1464 2023-01-29 17:56:39,978 - mmseg - INFO - Iter [2500/160000] lr: 5.906e-05, eta: 18:07:17, time: 0.405, data_time: 0.004, memory: 12319, decode.loss_ce: 0.7983, decode.acc_seg: 59.0044, aux.loss_ce: 0.3838, aux.acc_seg: 56.6568, loss: 1.1821 2023-01-29 17:57:02,143 - mmseg - INFO - Iter [2550/160000] lr: 5.904e-05, eta: 18:08:26, time: 0.443, data_time: 0.052, memory: 12319, decode.loss_ce: 0.7308, decode.acc_seg: 60.2632, aux.loss_ce: 0.3648, aux.acc_seg: 57.9079, loss: 1.0957 2023-01-29 17:57:22,711 - mmseg - INFO - Iter [2600/160000] lr: 5.903e-05, eta: 18:07:54, time: 0.411, data_time: 0.004, memory: 12319, decode.loss_ce: 0.7877, decode.acc_seg: 59.5110, aux.loss_ce: 0.3867, aux.acc_seg: 57.2567, loss: 1.1744 2023-01-29 17:57:43,017 - mmseg - INFO - Iter [2650/160000] lr: 5.901e-05, eta: 18:07:07, time: 0.406, data_time: 0.004, memory: 12319, decode.loss_ce: 0.7146, decode.acc_seg: 62.0850, aux.loss_ce: 0.3536, aux.acc_seg: 60.0070, loss: 1.0682 2023-01-29 17:58:03,273 - mmseg - INFO - Iter [2700/160000] lr: 5.899e-05, eta: 18:06:21, time: 0.406, data_time: 0.004, memory: 12319, decode.loss_ce: 0.7656, decode.acc_seg: 60.2573, aux.loss_ce: 0.3748, aux.acc_seg: 57.8951, loss: 1.1403 2023-01-29 17:58:23,558 - mmseg - INFO - Iter [2750/160000] lr: 5.897e-05, eta: 18:05:35, time: 0.406, data_time: 0.004, memory: 12319, decode.loss_ce: 0.7354, decode.acc_seg: 61.7676, aux.loss_ce: 0.3661, aux.acc_seg: 59.0208, loss: 1.1015 2023-01-29 17:58:43,686 - mmseg - INFO - Iter [2800/160000] lr: 5.895e-05, eta: 18:04:41, time: 0.402, data_time: 0.003, memory: 12319, decode.loss_ce: 0.7642, decode.acc_seg: 61.1248, aux.loss_ce: 0.3818, aux.acc_seg: 58.2537, loss: 1.1459 2023-01-29 17:59:03,554 - mmseg - INFO - Iter [2850/160000] lr: 5.893e-05, eta: 18:03:35, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.7381, decode.acc_seg: 60.4734, aux.loss_ce: 0.3626, aux.acc_seg: 58.3178, loss: 1.1007 2023-01-29 17:59:23,716 - mmseg - INFO - Iter [2900/160000] lr: 5.891e-05, eta: 18:02:46, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.7400, decode.acc_seg: 59.7229, aux.loss_ce: 0.3608, aux.acc_seg: 57.0669, loss: 1.1008 2023-01-29 17:59:43,582 - mmseg - INFO - Iter [2950/160000] lr: 5.889e-05, eta: 18:01:42, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.7191, decode.acc_seg: 61.3699, aux.loss_ce: 0.3500, aux.acc_seg: 59.0218, loss: 1.0691 2023-01-29 18:00:06,079 - mmseg - INFO - Saving checkpoint at 3000 iterations 2023-01-29 18:00:16,651 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 18:00:16,651 - mmseg - INFO - Iter [3000/160000] lr: 5.888e-05, eta: 18:12:11, time: 0.661, data_time: 0.004, memory: 12319, decode.loss_ce: 0.7026, decode.acc_seg: 61.2268, aux.loss_ce: 0.3383, aux.acc_seg: 58.9892, loss: 1.0408 2023-01-29 18:00:36,484 - mmseg - INFO - Iter [3050/160000] lr: 5.886e-05, eta: 18:10:56, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.7318, decode.acc_seg: 62.0772, aux.loss_ce: 0.3574, aux.acc_seg: 59.6772, loss: 1.0892 2023-01-29 18:00:56,906 - mmseg - INFO - Iter [3100/160000] lr: 5.884e-05, eta: 18:10:14, time: 0.409, data_time: 0.005, memory: 12319, decode.loss_ce: 0.7095, decode.acc_seg: 61.5297, aux.loss_ce: 0.3446, aux.acc_seg: 59.2159, loss: 1.0541 2023-01-29 18:01:16,808 - mmseg - INFO - Iter [3150/160000] lr: 5.882e-05, eta: 18:09:06, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6962, decode.acc_seg: 61.4097, aux.loss_ce: 0.3348, aux.acc_seg: 59.6758, loss: 1.0309 2023-01-29 18:01:36,677 - mmseg - INFO - Iter [3200/160000] lr: 5.880e-05, eta: 18:07:58, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6902, decode.acc_seg: 61.3656, aux.loss_ce: 0.3326, aux.acc_seg: 59.5031, loss: 1.0228 2023-01-29 18:01:56,443 - mmseg - INFO - Iter [3250/160000] lr: 5.878e-05, eta: 18:06:46, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6979, decode.acc_seg: 60.5123, aux.loss_ce: 0.3370, aux.acc_seg: 58.2734, loss: 1.0349 2023-01-29 18:02:16,460 - mmseg - INFO - Iter [3300/160000] lr: 5.876e-05, eta: 18:05:48, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.7476, decode.acc_seg: 59.9383, aux.loss_ce: 0.3515, aux.acc_seg: 57.8023, loss: 1.0991 2023-01-29 18:02:36,371 - mmseg - INFO - Iter [3350/160000] lr: 5.874e-05, eta: 18:04:47, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.7212, decode.acc_seg: 62.7169, aux.loss_ce: 0.3465, aux.acc_seg: 60.5846, loss: 1.0677 2023-01-29 18:02:56,202 - mmseg - INFO - Iter [3400/160000] lr: 5.873e-05, eta: 18:03:42, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6795, decode.acc_seg: 63.2804, aux.loss_ce: 0.3285, aux.acc_seg: 61.1155, loss: 1.0081 2023-01-29 18:03:15,995 - mmseg - INFO - Iter [3450/160000] lr: 5.871e-05, eta: 18:02:38, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6850, decode.acc_seg: 61.2308, aux.loss_ce: 0.3284, aux.acc_seg: 59.2881, loss: 1.0133 2023-01-29 18:03:36,099 - mmseg - INFO - Iter [3500/160000] lr: 5.869e-05, eta: 18:01:47, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6570, decode.acc_seg: 62.3483, aux.loss_ce: 0.3116, aux.acc_seg: 60.3630, loss: 0.9686 2023-01-29 18:03:56,112 - mmseg - INFO - Iter [3550/160000] lr: 5.867e-05, eta: 18:00:56, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6977, decode.acc_seg: 62.2919, aux.loss_ce: 0.3313, aux.acc_seg: 60.4807, loss: 1.0290 2023-01-29 18:04:15,942 - mmseg - INFO - Iter [3600/160000] lr: 5.865e-05, eta: 17:59:56, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6966, decode.acc_seg: 61.5892, aux.loss_ce: 0.3289, aux.acc_seg: 59.2679, loss: 1.0255 2023-01-29 18:04:35,858 - mmseg - INFO - Iter [3650/160000] lr: 5.863e-05, eta: 17:59:01, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.7218, decode.acc_seg: 62.2003, aux.loss_ce: 0.3371, aux.acc_seg: 60.4733, loss: 1.0589 2023-01-29 18:04:55,799 - mmseg - INFO - Iter [3700/160000] lr: 5.861e-05, eta: 17:58:08, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.7129, decode.acc_seg: 62.6762, aux.loss_ce: 0.3380, aux.acc_seg: 60.3425, loss: 1.0509 2023-01-29 18:05:15,822 - mmseg - INFO - Iter [3750/160000] lr: 5.859e-05, eta: 17:57:19, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6617, decode.acc_seg: 63.5313, aux.loss_ce: 0.3142, aux.acc_seg: 61.9398, loss: 0.9760 2023-01-29 18:05:38,923 - mmseg - INFO - Iter [3800/160000] lr: 5.858e-05, eta: 17:58:37, time: 0.461, data_time: 0.054, memory: 12319, decode.loss_ce: 0.6577, decode.acc_seg: 61.9367, aux.loss_ce: 0.3099, aux.acc_seg: 60.1558, loss: 0.9676 2023-01-29 18:05:59,107 - mmseg - INFO - Iter [3850/160000] lr: 5.856e-05, eta: 17:57:55, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6512, decode.acc_seg: 62.8534, aux.loss_ce: 0.3106, aux.acc_seg: 61.1907, loss: 0.9618 2023-01-29 18:06:18,985 - mmseg - INFO - Iter [3900/160000] lr: 5.854e-05, eta: 17:57:01, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6559, decode.acc_seg: 62.8402, aux.loss_ce: 0.3079, aux.acc_seg: 61.0996, loss: 0.9637 2023-01-29 18:06:39,171 - mmseg - INFO - Iter [3950/160000] lr: 5.852e-05, eta: 17:56:17, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6525, decode.acc_seg: 63.1537, aux.loss_ce: 0.3089, aux.acc_seg: 61.1973, loss: 0.9614 2023-01-29 18:06:59,235 - mmseg - INFO - Saving checkpoint at 4000 iterations 2023-01-29 18:07:09,167 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 18:07:09,167 - mmseg - INFO - Iter [4000/160000] lr: 5.850e-05, eta: 18:02:03, time: 0.602, data_time: 0.005, memory: 12319, decode.loss_ce: 0.6358, decode.acc_seg: 63.4160, aux.loss_ce: 0.2961, aux.acc_seg: 62.1562, loss: 0.9320 2023-01-29 18:07:28,934 - mmseg - INFO - Iter [4050/160000] lr: 5.848e-05, eta: 18:01:02, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6180, decode.acc_seg: 62.1869, aux.loss_ce: 0.2936, aux.acc_seg: 60.8537, loss: 0.9117 2023-01-29 18:07:48,894 - mmseg - INFO - Iter [4100/160000] lr: 5.846e-05, eta: 18:00:09, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6329, decode.acc_seg: 62.6718, aux.loss_ce: 0.2937, aux.acc_seg: 61.2102, loss: 0.9266 2023-01-29 18:08:09,615 - mmseg - INFO - Iter [4150/160000] lr: 5.844e-05, eta: 17:59:46, time: 0.414, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6294, decode.acc_seg: 63.7679, aux.loss_ce: 0.2951, aux.acc_seg: 62.3554, loss: 0.9245 2023-01-29 18:08:29,711 - mmseg - INFO - Iter [4200/160000] lr: 5.843e-05, eta: 17:59:00, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6157, decode.acc_seg: 64.4656, aux.loss_ce: 0.2896, aux.acc_seg: 62.7398, loss: 0.9053 2023-01-29 18:08:50,051 - mmseg - INFO - Iter [4250/160000] lr: 5.841e-05, eta: 17:58:22, time: 0.406, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6185, decode.acc_seg: 63.4217, aux.loss_ce: 0.2874, aux.acc_seg: 62.0876, loss: 0.9058 2023-01-29 18:09:09,820 - mmseg - INFO - Iter [4300/160000] lr: 5.839e-05, eta: 17:57:25, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6176, decode.acc_seg: 63.8665, aux.loss_ce: 0.2850, aux.acc_seg: 62.3079, loss: 0.9026 2023-01-29 18:09:30,076 - mmseg - INFO - Iter [4350/160000] lr: 5.837e-05, eta: 17:56:47, time: 0.406, data_time: 0.005, memory: 12319, decode.loss_ce: 0.6189, decode.acc_seg: 63.1746, aux.loss_ce: 0.2907, aux.acc_seg: 61.4931, loss: 0.9096 2023-01-29 18:09:50,326 - mmseg - INFO - Iter [4400/160000] lr: 5.835e-05, eta: 17:56:08, time: 0.405, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6410, decode.acc_seg: 63.3235, aux.loss_ce: 0.2959, aux.acc_seg: 62.0160, loss: 0.9369 2023-01-29 18:10:10,640 - mmseg - INFO - Iter [4450/160000] lr: 5.833e-05, eta: 17:55:32, time: 0.406, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6242, decode.acc_seg: 62.5709, aux.loss_ce: 0.2837, aux.acc_seg: 61.5124, loss: 0.9080 2023-01-29 18:10:30,842 - mmseg - INFO - Iter [4500/160000] lr: 5.831e-05, eta: 17:54:53, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6006, decode.acc_seg: 62.6880, aux.loss_ce: 0.2725, aux.acc_seg: 62.1079, loss: 0.8731 2023-01-29 18:10:50,943 - mmseg - INFO - Iter [4550/160000] lr: 5.829e-05, eta: 17:54:10, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6428, decode.acc_seg: 63.5996, aux.loss_ce: 0.2963, aux.acc_seg: 62.3459, loss: 0.9390 2023-01-29 18:11:10,890 - mmseg - INFO - Iter [4600/160000] lr: 5.828e-05, eta: 17:53:23, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6250, decode.acc_seg: 62.1979, aux.loss_ce: 0.2836, aux.acc_seg: 60.9910, loss: 0.9086 2023-01-29 18:11:30,910 - mmseg - INFO - Iter [4650/160000] lr: 5.826e-05, eta: 17:52:38, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5882, decode.acc_seg: 64.0978, aux.loss_ce: 0.2661, aux.acc_seg: 63.1508, loss: 0.8543 2023-01-29 18:11:50,771 - mmseg - INFO - Iter [4700/160000] lr: 5.824e-05, eta: 17:51:50, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6181, decode.acc_seg: 63.2326, aux.loss_ce: 0.2837, aux.acc_seg: 61.8728, loss: 0.9018 2023-01-29 18:12:10,951 - mmseg - INFO - Iter [4750/160000] lr: 5.822e-05, eta: 17:51:12, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6442, decode.acc_seg: 62.9554, aux.loss_ce: 0.2902, aux.acc_seg: 61.9596, loss: 0.9344 2023-01-29 18:12:31,234 - mmseg - INFO - Iter [4800/160000] lr: 5.820e-05, eta: 17:50:38, time: 0.406, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6402, decode.acc_seg: 62.2358, aux.loss_ce: 0.2908, aux.acc_seg: 61.2435, loss: 0.9310 2023-01-29 18:12:50,894 - mmseg - INFO - Iter [4850/160000] lr: 5.818e-05, eta: 17:49:44, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6012, decode.acc_seg: 62.5220, aux.loss_ce: 0.2694, aux.acc_seg: 61.6538, loss: 0.8706 2023-01-29 18:13:10,805 - mmseg - INFO - Iter [4900/160000] lr: 5.816e-05, eta: 17:48:59, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6105, decode.acc_seg: 62.0175, aux.loss_ce: 0.2735, aux.acc_seg: 60.8601, loss: 0.8841 2023-01-29 18:13:30,503 - mmseg - INFO - Iter [4950/160000] lr: 5.814e-05, eta: 17:48:08, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6356, decode.acc_seg: 63.6205, aux.loss_ce: 0.2843, aux.acc_seg: 62.6523, loss: 0.9200 2023-01-29 18:13:50,506 - mmseg - INFO - Saving checkpoint at 5000 iterations 2023-01-29 18:14:01,031 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 18:14:01,031 - mmseg - INFO - Iter [5000/160000] lr: 5.813e-05, eta: 17:52:53, time: 0.611, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6493, decode.acc_seg: 62.6392, aux.loss_ce: 0.2898, aux.acc_seg: 61.6972, loss: 0.9391 2023-01-29 18:14:20,950 - mmseg - INFO - Iter [5050/160000] lr: 5.811e-05, eta: 17:52:06, time: 0.398, data_time: 0.006, memory: 12319, decode.loss_ce: 0.6158, decode.acc_seg: 62.3051, aux.loss_ce: 0.2777, aux.acc_seg: 61.3333, loss: 0.8935 2023-01-29 18:14:44,601 - mmseg - INFO - Iter [5100/160000] lr: 5.809e-05, eta: 17:53:13, time: 0.473, data_time: 0.053, memory: 12319, decode.loss_ce: 0.5732, decode.acc_seg: 62.8426, aux.loss_ce: 0.2554, aux.acc_seg: 62.1876, loss: 0.8286 2023-01-29 18:15:04,707 - mmseg - INFO - Iter [5150/160000] lr: 5.807e-05, eta: 17:52:32, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5790, decode.acc_seg: 63.5710, aux.loss_ce: 0.2616, aux.acc_seg: 62.6445, loss: 0.8407 2023-01-29 18:15:24,540 - mmseg - INFO - Iter [5200/160000] lr: 5.805e-05, eta: 17:51:43, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6022, decode.acc_seg: 63.4286, aux.loss_ce: 0.2725, aux.acc_seg: 62.4776, loss: 0.8747 2023-01-29 18:15:44,348 - mmseg - INFO - Iter [5250/160000] lr: 5.803e-05, eta: 17:50:54, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5573, decode.acc_seg: 64.5094, aux.loss_ce: 0.2520, aux.acc_seg: 63.4205, loss: 0.8093 2023-01-29 18:16:04,069 - mmseg - INFO - Iter [5300/160000] lr: 5.801e-05, eta: 17:50:03, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5763, decode.acc_seg: 63.1679, aux.loss_ce: 0.2620, aux.acc_seg: 61.6950, loss: 0.8383 2023-01-29 18:16:24,205 - mmseg - INFO - Iter [5350/160000] lr: 5.799e-05, eta: 17:49:24, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5633, decode.acc_seg: 64.5840, aux.loss_ce: 0.2532, aux.acc_seg: 63.7079, loss: 0.8165 2023-01-29 18:16:44,199 - mmseg - INFO - Iter [5400/160000] lr: 5.798e-05, eta: 17:48:41, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6071, decode.acc_seg: 63.5946, aux.loss_ce: 0.2742, aux.acc_seg: 62.4156, loss: 0.8813 2023-01-29 18:17:04,021 - mmseg - INFO - Iter [5450/160000] lr: 5.796e-05, eta: 17:47:55, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5590, decode.acc_seg: 64.6636, aux.loss_ce: 0.2536, aux.acc_seg: 63.7437, loss: 0.8126 2023-01-29 18:17:23,818 - mmseg - INFO - Iter [5500/160000] lr: 5.794e-05, eta: 17:47:08, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.6231, decode.acc_seg: 62.1228, aux.loss_ce: 0.2811, aux.acc_seg: 61.1151, loss: 0.9041 2023-01-29 18:17:43,580 - mmseg - INFO - Iter [5550/160000] lr: 5.792e-05, eta: 17:46:20, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5723, decode.acc_seg: 64.2649, aux.loss_ce: 0.2584, aux.acc_seg: 63.5761, loss: 0.8307 2023-01-29 18:18:03,380 - mmseg - INFO - Iter [5600/160000] lr: 5.790e-05, eta: 17:45:35, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5600, decode.acc_seg: 63.8315, aux.loss_ce: 0.2523, aux.acc_seg: 63.0610, loss: 0.8123 2023-01-29 18:18:23,790 - mmseg - INFO - Iter [5650/160000] lr: 5.788e-05, eta: 17:45:06, time: 0.408, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5884, decode.acc_seg: 64.3306, aux.loss_ce: 0.2648, aux.acc_seg: 63.3706, loss: 0.8532 2023-01-29 18:18:43,389 - mmseg - INFO - Iter [5700/160000] lr: 5.786e-05, eta: 17:44:16, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5670, decode.acc_seg: 64.9008, aux.loss_ce: 0.2533, aux.acc_seg: 64.0997, loss: 0.8204 2023-01-29 18:19:03,283 - mmseg - INFO - Iter [5750/160000] lr: 5.784e-05, eta: 17:43:32, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5922, decode.acc_seg: 64.0190, aux.loss_ce: 0.2599, aux.acc_seg: 63.3677, loss: 0.8521 2023-01-29 18:19:22,852 - mmseg - INFO - Iter [5800/160000] lr: 5.783e-05, eta: 17:42:41, time: 0.391, data_time: 0.005, memory: 12319, decode.loss_ce: 0.5912, decode.acc_seg: 63.5925, aux.loss_ce: 0.2589, aux.acc_seg: 62.5678, loss: 0.8500 2023-01-29 18:19:42,786 - mmseg - INFO - Iter [5850/160000] lr: 5.781e-05, eta: 17:42:01, time: 0.399, data_time: 0.006, memory: 12319, decode.loss_ce: 0.5636, decode.acc_seg: 65.0601, aux.loss_ce: 0.2511, aux.acc_seg: 64.4767, loss: 0.8147 2023-01-29 18:20:02,531 - mmseg - INFO - Iter [5900/160000] lr: 5.779e-05, eta: 17:41:18, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.5606, decode.acc_seg: 64.1713, aux.loss_ce: 0.2469, aux.acc_seg: 63.6084, loss: 0.8075 2023-01-29 18:20:22,288 - mmseg - INFO - Iter [5950/160000] lr: 5.777e-05, eta: 17:40:34, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5919, decode.acc_seg: 63.3451, aux.loss_ce: 0.2591, aux.acc_seg: 62.6920, loss: 0.8510 2023-01-29 18:20:42,206 - mmseg - INFO - Saving checkpoint at 6000 iterations 2023-01-29 18:20:52,335 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 18:20:52,335 - mmseg - INFO - Iter [6000/160000] lr: 5.775e-05, eta: 17:44:14, time: 0.601, data_time: 0.004, memory: 12319, decode.loss_ce: 0.6054, decode.acc_seg: 64.5657, aux.loss_ce: 0.2637, aux.acc_seg: 63.7063, loss: 0.8691 2023-01-29 18:21:12,309 - mmseg - INFO - Iter [6050/160000] lr: 5.773e-05, eta: 17:43:34, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5914, decode.acc_seg: 65.2977, aux.loss_ce: 0.2552, aux.acc_seg: 64.5564, loss: 0.8466 2023-01-29 18:21:32,677 - mmseg - INFO - Iter [6100/160000] lr: 5.771e-05, eta: 17:43:04, time: 0.407, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5610, decode.acc_seg: 63.0248, aux.loss_ce: 0.2465, aux.acc_seg: 62.4202, loss: 0.8075 2023-01-29 18:21:52,702 - mmseg - INFO - Iter [6150/160000] lr: 5.769e-05, eta: 17:42:26, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5439, decode.acc_seg: 65.0407, aux.loss_ce: 0.2374, aux.acc_seg: 64.5712, loss: 0.7813 2023-01-29 18:22:12,875 - mmseg - INFO - Iter [6200/160000] lr: 5.768e-05, eta: 17:41:52, time: 0.404, data_time: 0.005, memory: 12319, decode.loss_ce: 0.5600, decode.acc_seg: 63.6102, aux.loss_ce: 0.2461, aux.acc_seg: 63.1411, loss: 0.8061 2023-01-29 18:22:32,892 - mmseg - INFO - Iter [6250/160000] lr: 5.766e-05, eta: 17:41:14, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5630, decode.acc_seg: 64.3054, aux.loss_ce: 0.2442, aux.acc_seg: 63.6747, loss: 0.8072 2023-01-29 18:22:52,712 - mmseg - INFO - Iter [6300/160000] lr: 5.764e-05, eta: 17:40:31, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5543, decode.acc_seg: 64.5240, aux.loss_ce: 0.2400, aux.acc_seg: 63.9390, loss: 0.7943 2023-01-29 18:23:15,588 - mmseg - INFO - Iter [6350/160000] lr: 5.762e-05, eta: 17:41:04, time: 0.458, data_time: 0.052, memory: 12319, decode.loss_ce: 0.5721, decode.acc_seg: 62.7082, aux.loss_ce: 0.2511, aux.acc_seg: 61.9292, loss: 0.8232 2023-01-29 18:23:35,466 - mmseg - INFO - Iter [6400/160000] lr: 5.760e-05, eta: 17:40:23, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5238, decode.acc_seg: 65.7526, aux.loss_ce: 0.2341, aux.acc_seg: 64.7214, loss: 0.7579 2023-01-29 18:23:55,311 - mmseg - INFO - Iter [6450/160000] lr: 5.758e-05, eta: 17:39:42, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5445, decode.acc_seg: 65.0361, aux.loss_ce: 0.2383, aux.acc_seg: 64.3195, loss: 0.7828 2023-01-29 18:24:15,286 - mmseg - INFO - Iter [6500/160000] lr: 5.756e-05, eta: 17:39:04, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5263, decode.acc_seg: 64.1335, aux.loss_ce: 0.2307, aux.acc_seg: 63.5670, loss: 0.7570 2023-01-29 18:24:35,323 - mmseg - INFO - Iter [6550/160000] lr: 5.754e-05, eta: 17:38:28, time: 0.401, data_time: 0.005, memory: 12319, decode.loss_ce: 0.5432, decode.acc_seg: 65.5178, aux.loss_ce: 0.2358, aux.acc_seg: 65.1700, loss: 0.7789 2023-01-29 18:24:55,458 - mmseg - INFO - Iter [6600/160000] lr: 5.753e-05, eta: 17:37:54, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5164, decode.acc_seg: 65.4669, aux.loss_ce: 0.2273, aux.acc_seg: 64.6550, loss: 0.7437 2023-01-29 18:25:15,345 - mmseg - INFO - Iter [6650/160000] lr: 5.751e-05, eta: 17:37:15, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5549, decode.acc_seg: 65.5410, aux.loss_ce: 0.2439, aux.acc_seg: 64.6959, loss: 0.7988 2023-01-29 18:25:35,316 - mmseg - INFO - Iter [6700/160000] lr: 5.749e-05, eta: 17:36:38, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5385, decode.acc_seg: 64.2542, aux.loss_ce: 0.2324, aux.acc_seg: 63.9557, loss: 0.7709 2023-01-29 18:25:55,339 - mmseg - INFO - Iter [6750/160000] lr: 5.747e-05, eta: 17:36:02, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5776, decode.acc_seg: 62.6828, aux.loss_ce: 0.2489, aux.acc_seg: 62.4247, loss: 0.8265 2023-01-29 18:26:15,304 - mmseg - INFO - Iter [6800/160000] lr: 5.745e-05, eta: 17:35:26, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5338, decode.acc_seg: 64.3972, aux.loss_ce: 0.2324, aux.acc_seg: 63.6724, loss: 0.7662 2023-01-29 18:26:35,487 - mmseg - INFO - Iter [6850/160000] lr: 5.743e-05, eta: 17:34:54, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5203, decode.acc_seg: 64.5423, aux.loss_ce: 0.2248, aux.acc_seg: 64.1038, loss: 0.7451 2023-01-29 18:26:55,333 - mmseg - INFO - Iter [6900/160000] lr: 5.741e-05, eta: 17:34:15, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.5579, decode.acc_seg: 65.0580, aux.loss_ce: 0.2409, aux.acc_seg: 64.2716, loss: 0.7988 2023-01-29 18:27:15,184 - mmseg - INFO - Iter [6950/160000] lr: 5.739e-05, eta: 17:33:37, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5385, decode.acc_seg: 63.4232, aux.loss_ce: 0.2374, aux.acc_seg: 62.8062, loss: 0.7760 2023-01-29 18:27:34,958 - mmseg - INFO - Saving checkpoint at 7000 iterations 2023-01-29 18:27:45,747 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 18:27:45,748 - mmseg - INFO - Iter [7000/160000] lr: 5.738e-05, eta: 17:36:52, time: 0.611, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5822, decode.acc_seg: 65.3317, aux.loss_ce: 0.2513, aux.acc_seg: 64.9378, loss: 0.8335 2023-01-29 18:28:06,172 - mmseg - INFO - Iter [7050/160000] lr: 5.736e-05, eta: 17:36:26, time: 0.409, data_time: 0.005, memory: 12319, decode.loss_ce: 0.5284, decode.acc_seg: 63.8359, aux.loss_ce: 0.2273, aux.acc_seg: 63.3085, loss: 0.7557 2023-01-29 18:28:26,060 - mmseg - INFO - Iter [7100/160000] lr: 5.734e-05, eta: 17:35:47, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5137, decode.acc_seg: 64.6587, aux.loss_ce: 0.2220, aux.acc_seg: 64.0699, loss: 0.7357 2023-01-29 18:28:45,936 - mmseg - INFO - Iter [7150/160000] lr: 5.732e-05, eta: 17:35:08, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5363, decode.acc_seg: 63.1702, aux.loss_ce: 0.2314, aux.acc_seg: 62.6923, loss: 0.7677 2023-01-29 18:29:06,037 - mmseg - INFO - Iter [7200/160000] lr: 5.730e-05, eta: 17:34:34, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5360, decode.acc_seg: 65.6250, aux.loss_ce: 0.2316, aux.acc_seg: 65.0792, loss: 0.7676 2023-01-29 18:29:25,990 - mmseg - INFO - Iter [7250/160000] lr: 5.728e-05, eta: 17:33:57, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5508, decode.acc_seg: 65.3875, aux.loss_ce: 0.2334, aux.acc_seg: 65.1046, loss: 0.7842 2023-01-29 18:29:45,900 - mmseg - INFO - Iter [7300/160000] lr: 5.726e-05, eta: 17:33:21, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.5096, decode.acc_seg: 64.7238, aux.loss_ce: 0.2190, aux.acc_seg: 64.3260, loss: 0.7286 2023-01-29 18:30:05,927 - mmseg - INFO - Iter [7350/160000] lr: 5.724e-05, eta: 17:32:46, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5458, decode.acc_seg: 65.1490, aux.loss_ce: 0.2348, aux.acc_seg: 64.5820, loss: 0.7806 2023-01-29 18:30:25,776 - mmseg - INFO - Iter [7400/160000] lr: 5.723e-05, eta: 17:32:08, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5782, decode.acc_seg: 63.6964, aux.loss_ce: 0.2459, aux.acc_seg: 63.0867, loss: 0.8241 2023-01-29 18:30:45,462 - mmseg - INFO - Iter [7450/160000] lr: 5.721e-05, eta: 17:31:27, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5395, decode.acc_seg: 64.5165, aux.loss_ce: 0.2318, aux.acc_seg: 64.0287, loss: 0.7713 2023-01-29 18:31:05,533 - mmseg - INFO - Iter [7500/160000] lr: 5.719e-05, eta: 17:30:54, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5198, decode.acc_seg: 64.7119, aux.loss_ce: 0.2217, aux.acc_seg: 64.2885, loss: 0.7415 2023-01-29 18:31:25,657 - mmseg - INFO - Iter [7550/160000] lr: 5.717e-05, eta: 17:30:22, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5498, decode.acc_seg: 64.7570, aux.loss_ce: 0.2378, aux.acc_seg: 63.9999, loss: 0.7876 2023-01-29 18:31:47,768 - mmseg - INFO - Iter [7600/160000] lr: 5.715e-05, eta: 17:30:30, time: 0.442, data_time: 0.050, memory: 12319, decode.loss_ce: 0.5031, decode.acc_seg: 64.4798, aux.loss_ce: 0.2170, aux.acc_seg: 64.0802, loss: 0.7200 2023-01-29 18:32:07,529 - mmseg - INFO - Iter [7650/160000] lr: 5.713e-05, eta: 17:29:51, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4808, decode.acc_seg: 65.5284, aux.loss_ce: 0.2090, aux.acc_seg: 65.1600, loss: 0.6898 2023-01-29 18:32:27,337 - mmseg - INFO - Iter [7700/160000] lr: 5.711e-05, eta: 17:29:13, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5145, decode.acc_seg: 64.9125, aux.loss_ce: 0.2229, aux.acc_seg: 64.2102, loss: 0.7374 2023-01-29 18:32:47,465 - mmseg - INFO - Iter [7750/160000] lr: 5.709e-05, eta: 17:28:42, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5504, decode.acc_seg: 64.7169, aux.loss_ce: 0.2368, aux.acc_seg: 64.2520, loss: 0.7872 2023-01-29 18:33:07,432 - mmseg - INFO - Iter [7800/160000] lr: 5.708e-05, eta: 17:28:08, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5118, decode.acc_seg: 65.2677, aux.loss_ce: 0.2223, aux.acc_seg: 64.9025, loss: 0.7341 2023-01-29 18:33:27,305 - mmseg - INFO - Iter [7850/160000] lr: 5.706e-05, eta: 17:27:32, time: 0.398, data_time: 0.005, memory: 12319, decode.loss_ce: 0.5095, decode.acc_seg: 65.4866, aux.loss_ce: 0.2198, aux.acc_seg: 64.8545, loss: 0.7293 2023-01-29 18:33:47,083 - mmseg - INFO - Iter [7900/160000] lr: 5.704e-05, eta: 17:26:55, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5523, decode.acc_seg: 65.4283, aux.loss_ce: 0.2395, aux.acc_seg: 64.7143, loss: 0.7917 2023-01-29 18:34:07,051 - mmseg - INFO - Iter [7950/160000] lr: 5.702e-05, eta: 17:26:21, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5010, decode.acc_seg: 65.4333, aux.loss_ce: 0.2143, aux.acc_seg: 64.9955, loss: 0.7153 2023-01-29 18:34:26,760 - mmseg - INFO - Saving checkpoint at 8000 iterations 2023-01-29 18:34:37,382 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 18:34:37,383 - mmseg - INFO - Iter [8000/160000] lr: 5.700e-05, eta: 17:29:02, time: 0.604, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5081, decode.acc_seg: 63.8170, aux.loss_ce: 0.2188, aux.acc_seg: 63.2489, loss: 0.7269 2023-01-29 18:34:57,983 - mmseg - INFO - Iter [8050/160000] lr: 5.698e-05, eta: 17:28:42, time: 0.414, data_time: 0.007, memory: 12319, decode.loss_ce: 0.5000, decode.acc_seg: 65.9954, aux.loss_ce: 0.2121, aux.acc_seg: 65.8742, loss: 0.7121 2023-01-29 18:35:17,655 - mmseg - INFO - Iter [8100/160000] lr: 5.696e-05, eta: 17:28:01, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5124, decode.acc_seg: 64.6169, aux.loss_ce: 0.2213, aux.acc_seg: 63.8076, loss: 0.7337 2023-01-29 18:35:37,472 - mmseg - INFO - Iter [8150/160000] lr: 5.694e-05, eta: 17:27:24, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5118, decode.acc_seg: 66.1266, aux.loss_ce: 0.2210, aux.acc_seg: 65.8415, loss: 0.7328 2023-01-29 18:35:57,297 - mmseg - INFO - Iter [8200/160000] lr: 5.693e-05, eta: 17:26:48, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5033, decode.acc_seg: 66.6066, aux.loss_ce: 0.2164, aux.acc_seg: 65.8454, loss: 0.7197 2023-01-29 18:36:16,985 - mmseg - INFO - Iter [8250/160000] lr: 5.691e-05, eta: 17:26:09, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5058, decode.acc_seg: 64.5415, aux.loss_ce: 0.2170, aux.acc_seg: 64.2049, loss: 0.7228 2023-01-29 18:36:36,635 - mmseg - INFO - Iter [8300/160000] lr: 5.689e-05, eta: 17:25:29, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5328, decode.acc_seg: 66.3271, aux.loss_ce: 0.2291, aux.acc_seg: 65.6621, loss: 0.7619 2023-01-29 18:36:56,431 - mmseg - INFO - Iter [8350/160000] lr: 5.687e-05, eta: 17:24:52, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5026, decode.acc_seg: 65.4288, aux.loss_ce: 0.2142, aux.acc_seg: 65.2159, loss: 0.7168 2023-01-29 18:37:16,125 - mmseg - INFO - Iter [8400/160000] lr: 5.685e-05, eta: 17:24:14, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5031, decode.acc_seg: 66.5676, aux.loss_ce: 0.2127, aux.acc_seg: 66.2647, loss: 0.7159 2023-01-29 18:37:35,778 - mmseg - INFO - Iter [8450/160000] lr: 5.683e-05, eta: 17:23:35, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5059, decode.acc_seg: 64.7871, aux.loss_ce: 0.2133, aux.acc_seg: 64.5271, loss: 0.7192 2023-01-29 18:37:55,329 - mmseg - INFO - Iter [8500/160000] lr: 5.681e-05, eta: 17:22:55, time: 0.391, data_time: 0.005, memory: 12319, decode.loss_ce: 0.5461, decode.acc_seg: 64.8648, aux.loss_ce: 0.2311, aux.acc_seg: 64.3891, loss: 0.7773 2023-01-29 18:38:15,288 - mmseg - INFO - Iter [8550/160000] lr: 5.679e-05, eta: 17:22:22, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5169, decode.acc_seg: 64.3554, aux.loss_ce: 0.2175, aux.acc_seg: 64.1717, loss: 0.7344 2023-01-29 18:38:35,281 - mmseg - INFO - Iter [8600/160000] lr: 5.678e-05, eta: 17:21:49, time: 0.400, data_time: 0.005, memory: 12319, decode.loss_ce: 0.5426, decode.acc_seg: 66.0892, aux.loss_ce: 0.2297, aux.acc_seg: 65.7711, loss: 0.7724 2023-01-29 18:38:54,973 - mmseg - INFO - Iter [8650/160000] lr: 5.676e-05, eta: 17:21:12, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5297, decode.acc_seg: 65.7838, aux.loss_ce: 0.2240, aux.acc_seg: 65.4659, loss: 0.7538 2023-01-29 18:39:15,029 - mmseg - INFO - Iter [8700/160000] lr: 5.674e-05, eta: 17:20:42, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5352, decode.acc_seg: 66.0098, aux.loss_ce: 0.2307, aux.acc_seg: 65.2026, loss: 0.7660 2023-01-29 18:39:35,345 - mmseg - INFO - Iter [8750/160000] lr: 5.672e-05, eta: 17:20:15, time: 0.406, data_time: 0.005, memory: 12319, decode.loss_ce: 0.5209, decode.acc_seg: 64.8966, aux.loss_ce: 0.2208, aux.acc_seg: 64.5235, loss: 0.7417 2023-01-29 18:39:55,300 - mmseg - INFO - Iter [8800/160000] lr: 5.670e-05, eta: 17:19:43, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4985, decode.acc_seg: 65.2687, aux.loss_ce: 0.2114, aux.acc_seg: 65.1554, loss: 0.7100 2023-01-29 18:40:17,721 - mmseg - INFO - Iter [8850/160000] lr: 5.668e-05, eta: 17:19:52, time: 0.447, data_time: 0.048, memory: 12319, decode.loss_ce: 0.5007, decode.acc_seg: 66.5570, aux.loss_ce: 0.2157, aux.acc_seg: 66.0726, loss: 0.7165 2023-01-29 18:40:37,425 - mmseg - INFO - Iter [8900/160000] lr: 5.666e-05, eta: 17:19:16, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4823, decode.acc_seg: 65.3686, aux.loss_ce: 0.2060, aux.acc_seg: 65.1838, loss: 0.6883 2023-01-29 18:40:57,251 - mmseg - INFO - Iter [8950/160000] lr: 5.664e-05, eta: 17:18:41, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4668, decode.acc_seg: 66.5553, aux.loss_ce: 0.2009, aux.acc_seg: 66.2619, loss: 0.6677 2023-01-29 18:41:17,129 - mmseg - INFO - Saving checkpoint at 9000 iterations 2023-01-29 18:41:27,938 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 18:41:27,941 - mmseg - INFO - Iter [9000/160000] lr: 5.663e-05, eta: 17:21:10, time: 0.614, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4746, decode.acc_seg: 67.2426, aux.loss_ce: 0.2045, aux.acc_seg: 66.6812, loss: 0.6792 2023-01-29 18:41:48,588 - mmseg - INFO - Iter [9050/160000] lr: 5.661e-05, eta: 17:20:49, time: 0.414, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4932, decode.acc_seg: 66.1885, aux.loss_ce: 0.2113, aux.acc_seg: 65.5938, loss: 0.7045 2023-01-29 18:42:08,563 - mmseg - INFO - Iter [9100/160000] lr: 5.659e-05, eta: 17:20:17, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5166, decode.acc_seg: 65.0559, aux.loss_ce: 0.2183, aux.acc_seg: 64.6375, loss: 0.7350 2023-01-29 18:42:28,195 - mmseg - INFO - Iter [9150/160000] lr: 5.657e-05, eta: 17:19:39, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5171, decode.acc_seg: 65.5318, aux.loss_ce: 0.2191, aux.acc_seg: 65.1732, loss: 0.7361 2023-01-29 18:42:48,146 - mmseg - INFO - Iter [9200/160000] lr: 5.655e-05, eta: 17:19:06, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5080, decode.acc_seg: 65.9918, aux.loss_ce: 0.2188, aux.acc_seg: 65.4907, loss: 0.7269 2023-01-29 18:43:08,013 - mmseg - INFO - Iter [9250/160000] lr: 5.653e-05, eta: 17:18:32, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5183, decode.acc_seg: 65.5377, aux.loss_ce: 0.2184, aux.acc_seg: 65.4422, loss: 0.7368 2023-01-29 18:43:27,551 - mmseg - INFO - Iter [9300/160000] lr: 5.651e-05, eta: 17:17:53, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4776, decode.acc_seg: 66.7814, aux.loss_ce: 0.2044, aux.acc_seg: 66.4303, loss: 0.6820 2023-01-29 18:43:47,338 - mmseg - INFO - Iter [9350/160000] lr: 5.649e-05, eta: 17:17:19, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5063, decode.acc_seg: 66.2334, aux.loss_ce: 0.2148, aux.acc_seg: 65.9531, loss: 0.7211 2023-01-29 18:44:07,245 - mmseg - INFO - Iter [9400/160000] lr: 5.648e-05, eta: 17:16:46, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5050, decode.acc_seg: 65.1093, aux.loss_ce: 0.2133, aux.acc_seg: 64.7115, loss: 0.7183 2023-01-29 18:44:26,945 - mmseg - INFO - Iter [9450/160000] lr: 5.646e-05, eta: 17:16:10, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5049, decode.acc_seg: 66.1251, aux.loss_ce: 0.2147, aux.acc_seg: 65.9729, loss: 0.7196 2023-01-29 18:44:46,823 - mmseg - INFO - Iter [9500/160000] lr: 5.644e-05, eta: 17:15:37, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5047, decode.acc_seg: 65.0703, aux.loss_ce: 0.2156, aux.acc_seg: 64.5322, loss: 0.7203 2023-01-29 18:45:06,604 - mmseg - INFO - Iter [9550/160000] lr: 5.642e-05, eta: 17:15:03, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5017, decode.acc_seg: 65.8777, aux.loss_ce: 0.2132, aux.acc_seg: 65.4751, loss: 0.7149 2023-01-29 18:45:26,621 - mmseg - INFO - Iter [9600/160000] lr: 5.640e-05, eta: 17:14:33, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5004, decode.acc_seg: 65.9498, aux.loss_ce: 0.2094, aux.acc_seg: 65.6574, loss: 0.7098 2023-01-29 18:45:46,482 - mmseg - INFO - Iter [9650/160000] lr: 5.638e-05, eta: 17:14:00, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4992, decode.acc_seg: 65.4033, aux.loss_ce: 0.2132, aux.acc_seg: 65.0666, loss: 0.7124 2023-01-29 18:46:06,361 - mmseg - INFO - Iter [9700/160000] lr: 5.636e-05, eta: 17:13:28, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4792, decode.acc_seg: 66.3070, aux.loss_ce: 0.2039, aux.acc_seg: 65.6858, loss: 0.6831 2023-01-29 18:46:26,134 - mmseg - INFO - Iter [9750/160000] lr: 5.634e-05, eta: 17:12:54, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4858, decode.acc_seg: 65.3491, aux.loss_ce: 0.2078, aux.acc_seg: 64.7691, loss: 0.6936 2023-01-29 18:46:46,190 - mmseg - INFO - Iter [9800/160000] lr: 5.633e-05, eta: 17:12:25, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5420, decode.acc_seg: 65.6806, aux.loss_ce: 0.2280, aux.acc_seg: 65.1659, loss: 0.7700 2023-01-29 18:47:05,950 - mmseg - INFO - Iter [9850/160000] lr: 5.631e-05, eta: 17:11:50, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4800, decode.acc_seg: 66.0467, aux.loss_ce: 0.2052, aux.acc_seg: 65.7494, loss: 0.6852 2023-01-29 18:47:25,781 - mmseg - INFO - Iter [9900/160000] lr: 5.629e-05, eta: 17:11:17, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.5068, decode.acc_seg: 65.0971, aux.loss_ce: 0.2162, aux.acc_seg: 64.3284, loss: 0.7229 2023-01-29 18:47:45,665 - mmseg - INFO - Iter [9950/160000] lr: 5.627e-05, eta: 17:10:47, time: 0.399, data_time: 0.006, memory: 12319, decode.loss_ce: 0.5134, decode.acc_seg: 65.2552, aux.loss_ce: 0.2168, aux.acc_seg: 65.1574, loss: 0.7302 2023-01-29 18:48:05,432 - mmseg - INFO - Saving checkpoint at 10000 iterations 2023-01-29 18:48:15,798 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 18:48:15,798 - mmseg - INFO - Iter [10000/160000] lr: 5.625e-05, eta: 17:12:49, time: 0.603, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4862, decode.acc_seg: 66.6142, aux.loss_ce: 0.2086, aux.acc_seg: 66.1937, loss: 0.6948 2023-01-29 18:48:35,858 - mmseg - INFO - Iter [10050/160000] lr: 5.623e-05, eta: 17:12:19, time: 0.401, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4647, decode.acc_seg: 65.1970, aux.loss_ce: 0.1982, aux.acc_seg: 64.7651, loss: 0.6629 2023-01-29 18:48:56,436 - mmseg - INFO - Iter [10100/160000] lr: 5.621e-05, eta: 17:11:57, time: 0.410, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5107, decode.acc_seg: 64.9788, aux.loss_ce: 0.2154, aux.acc_seg: 64.4925, loss: 0.7261 2023-01-29 18:49:19,591 - mmseg - INFO - Iter [10150/160000] lr: 5.619e-05, eta: 17:12:14, time: 0.464, data_time: 0.053, memory: 12319, decode.loss_ce: 0.4731, decode.acc_seg: 67.2050, aux.loss_ce: 0.2005, aux.acc_seg: 66.9572, loss: 0.6736 2023-01-29 18:49:39,644 - mmseg - INFO - Iter [10200/160000] lr: 5.618e-05, eta: 17:11:44, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5030, decode.acc_seg: 66.8587, aux.loss_ce: 0.2149, aux.acc_seg: 66.4179, loss: 0.7179 2023-01-29 18:49:59,557 - mmseg - INFO - Iter [10250/160000] lr: 5.616e-05, eta: 17:11:12, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4657, decode.acc_seg: 66.1423, aux.loss_ce: 0.1988, aux.acc_seg: 65.8758, loss: 0.6645 2023-01-29 18:50:19,556 - mmseg - INFO - Iter [10300/160000] lr: 5.614e-05, eta: 17:10:42, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4901, decode.acc_seg: 66.4704, aux.loss_ce: 0.2086, aux.acc_seg: 65.9280, loss: 0.6987 2023-01-29 18:50:39,437 - mmseg - INFO - Iter [10350/160000] lr: 5.612e-05, eta: 17:10:10, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4470, decode.acc_seg: 65.3330, aux.loss_ce: 0.1893, aux.acc_seg: 65.0021, loss: 0.6363 2023-01-29 18:50:59,420 - mmseg - INFO - Iter [10400/160000] lr: 5.610e-05, eta: 17:09:40, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4550, decode.acc_seg: 67.5165, aux.loss_ce: 0.1949, aux.acc_seg: 66.9417, loss: 0.6499 2023-01-29 18:51:19,096 - mmseg - INFO - Iter [10450/160000] lr: 5.608e-05, eta: 17:09:06, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4648, decode.acc_seg: 66.2429, aux.loss_ce: 0.1967, aux.acc_seg: 65.7500, loss: 0.6615 2023-01-29 18:51:38,903 - mmseg - INFO - Iter [10500/160000] lr: 5.606e-05, eta: 17:08:33, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4721, decode.acc_seg: 65.5422, aux.loss_ce: 0.2000, aux.acc_seg: 65.1375, loss: 0.6721 2023-01-29 18:51:59,043 - mmseg - INFO - Iter [10550/160000] lr: 5.604e-05, eta: 17:08:05, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4543, decode.acc_seg: 67.1014, aux.loss_ce: 0.1938, aux.acc_seg: 66.6384, loss: 0.6481 2023-01-29 18:52:19,901 - mmseg - INFO - Iter [10600/160000] lr: 5.603e-05, eta: 17:07:48, time: 0.417, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4871, decode.acc_seg: 66.0106, aux.loss_ce: 0.2070, aux.acc_seg: 65.5333, loss: 0.6942 2023-01-29 18:52:39,913 - mmseg - INFO - Iter [10650/160000] lr: 5.601e-05, eta: 17:07:18, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5133, decode.acc_seg: 66.5821, aux.loss_ce: 0.2177, aux.acc_seg: 66.0854, loss: 0.7310 2023-01-29 18:53:00,068 - mmseg - INFO - Iter [10700/160000] lr: 5.599e-05, eta: 17:06:51, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4948, decode.acc_seg: 65.2388, aux.loss_ce: 0.2105, aux.acc_seg: 64.9186, loss: 0.7053 2023-01-29 18:53:19,613 - mmseg - INFO - Iter [10750/160000] lr: 5.597e-05, eta: 17:06:15, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4639, decode.acc_seg: 66.4186, aux.loss_ce: 0.1953, aux.acc_seg: 66.1339, loss: 0.6592 2023-01-29 18:53:39,833 - mmseg - INFO - Iter [10800/160000] lr: 5.595e-05, eta: 17:05:49, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4840, decode.acc_seg: 65.8833, aux.loss_ce: 0.2048, aux.acc_seg: 65.4523, loss: 0.6888 2023-01-29 18:53:59,553 - mmseg - INFO - Iter [10850/160000] lr: 5.593e-05, eta: 17:05:16, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4837, decode.acc_seg: 65.4514, aux.loss_ce: 0.2050, aux.acc_seg: 65.1596, loss: 0.6887 2023-01-29 18:54:20,228 - mmseg - INFO - Iter [10900/160000] lr: 5.591e-05, eta: 17:04:56, time: 0.413, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4967, decode.acc_seg: 65.5671, aux.loss_ce: 0.2109, aux.acc_seg: 65.1866, loss: 0.7076 2023-01-29 18:54:40,748 - mmseg - INFO - Iter [10950/160000] lr: 5.589e-05, eta: 17:04:34, time: 0.410, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4879, decode.acc_seg: 66.3761, aux.loss_ce: 0.2087, aux.acc_seg: 65.6267, loss: 0.6966 2023-01-29 18:55:00,722 - mmseg - INFO - Saving checkpoint at 11000 iterations 2023-01-29 18:55:11,406 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 18:55:11,406 - mmseg - INFO - Iter [11000/160000] lr: 5.588e-05, eta: 17:06:29, time: 0.613, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4645, decode.acc_seg: 65.6248, aux.loss_ce: 0.1968, aux.acc_seg: 65.3513, loss: 0.6613 2023-01-29 18:55:31,630 - mmseg - INFO - Iter [11050/160000] lr: 5.586e-05, eta: 17:06:02, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4855, decode.acc_seg: 65.9211, aux.loss_ce: 0.2064, aux.acc_seg: 65.4226, loss: 0.6919 2023-01-29 18:55:51,519 - mmseg - INFO - Iter [11100/160000] lr: 5.584e-05, eta: 17:05:31, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5194, decode.acc_seg: 64.3508, aux.loss_ce: 0.2189, aux.acc_seg: 64.1726, loss: 0.7383 2023-01-29 18:56:11,294 - mmseg - INFO - Iter [11150/160000] lr: 5.582e-05, eta: 17:04:59, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4820, decode.acc_seg: 65.2362, aux.loss_ce: 0.2033, aux.acc_seg: 64.9387, loss: 0.6854 2023-01-29 18:56:31,002 - mmseg - INFO - Iter [11200/160000] lr: 5.580e-05, eta: 17:04:26, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4897, decode.acc_seg: 65.4637, aux.loss_ce: 0.2089, aux.acc_seg: 64.7705, loss: 0.6985 2023-01-29 18:56:50,783 - mmseg - INFO - Iter [11250/160000] lr: 5.578e-05, eta: 17:03:53, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4825, decode.acc_seg: 65.8399, aux.loss_ce: 0.2034, aux.acc_seg: 65.5482, loss: 0.6858 2023-01-29 18:57:10,671 - mmseg - INFO - Iter [11300/160000] lr: 5.576e-05, eta: 17:03:23, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.5175, decode.acc_seg: 65.8068, aux.loss_ce: 0.2185, aux.acc_seg: 65.4236, loss: 0.7360 2023-01-29 18:57:30,796 - mmseg - INFO - Iter [11350/160000] lr: 5.574e-05, eta: 17:02:55, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4551, decode.acc_seg: 67.2261, aux.loss_ce: 0.1931, aux.acc_seg: 66.9048, loss: 0.6483 2023-01-29 18:57:53,581 - mmseg - INFO - Iter [11400/160000] lr: 5.573e-05, eta: 17:03:03, time: 0.456, data_time: 0.051, memory: 12319, decode.loss_ce: 0.4684, decode.acc_seg: 66.6079, aux.loss_ce: 0.1986, aux.acc_seg: 66.1010, loss: 0.6670 2023-01-29 18:58:13,862 - mmseg - INFO - Iter [11450/160000] lr: 5.571e-05, eta: 17:02:37, time: 0.406, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4399, decode.acc_seg: 67.0060, aux.loss_ce: 0.1856, aux.acc_seg: 66.6260, loss: 0.6254 2023-01-29 18:58:34,119 - mmseg - INFO - Iter [11500/160000] lr: 5.569e-05, eta: 17:02:11, time: 0.405, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4593, decode.acc_seg: 66.6011, aux.loss_ce: 0.1957, aux.acc_seg: 66.1879, loss: 0.6550 2023-01-29 18:58:54,201 - mmseg - INFO - Iter [11550/160000] lr: 5.567e-05, eta: 17:01:43, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4508, decode.acc_seg: 68.6902, aux.loss_ce: 0.1945, aux.acc_seg: 68.1685, loss: 0.6454 2023-01-29 18:59:14,231 - mmseg - INFO - Iter [11600/160000] lr: 5.565e-05, eta: 17:01:14, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4512, decode.acc_seg: 66.6059, aux.loss_ce: 0.1902, aux.acc_seg: 66.3745, loss: 0.6414 2023-01-29 18:59:34,440 - mmseg - INFO - Iter [11650/160000] lr: 5.563e-05, eta: 17:00:49, time: 0.405, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4669, decode.acc_seg: 64.5771, aux.loss_ce: 0.1970, aux.acc_seg: 64.1420, loss: 0.6640 2023-01-29 18:59:54,529 - mmseg - INFO - Iter [11700/160000] lr: 5.561e-05, eta: 17:00:21, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4578, decode.acc_seg: 66.2205, aux.loss_ce: 0.1948, aux.acc_seg: 65.8446, loss: 0.6526 2023-01-29 19:00:14,246 - mmseg - INFO - Iter [11750/160000] lr: 5.559e-05, eta: 16:59:49, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4714, decode.acc_seg: 65.5322, aux.loss_ce: 0.2016, aux.acc_seg: 65.0767, loss: 0.6729 2023-01-29 19:00:34,009 - mmseg - INFO - Iter [11800/160000] lr: 5.558e-05, eta: 16:59:17, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4765, decode.acc_seg: 66.1808, aux.loss_ce: 0.2010, aux.acc_seg: 65.8520, loss: 0.6775 2023-01-29 19:00:53,953 - mmseg - INFO - Iter [11850/160000] lr: 5.556e-05, eta: 16:58:47, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4592, decode.acc_seg: 67.2614, aux.loss_ce: 0.1946, aux.acc_seg: 66.9514, loss: 0.6538 2023-01-29 19:01:13,959 - mmseg - INFO - Iter [11900/160000] lr: 5.554e-05, eta: 16:58:19, time: 0.402, data_time: 0.007, memory: 12319, decode.loss_ce: 0.4651, decode.acc_seg: 67.6387, aux.loss_ce: 0.1969, aux.acc_seg: 67.2770, loss: 0.6620 2023-01-29 19:01:33,755 - mmseg - INFO - Iter [11950/160000] lr: 5.552e-05, eta: 16:57:48, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4387, decode.acc_seg: 65.2051, aux.loss_ce: 0.1866, aux.acc_seg: 64.7134, loss: 0.6253 2023-01-29 19:01:53,545 - mmseg - INFO - Saving checkpoint at 12000 iterations 2023-01-29 19:02:04,889 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 19:02:04,890 - mmseg - INFO - Iter [12000/160000] lr: 5.550e-05, eta: 16:59:37, time: 0.622, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4600, decode.acc_seg: 67.9535, aux.loss_ce: 0.1931, aux.acc_seg: 67.5884, loss: 0.6531 2023-01-29 19:02:25,523 - mmseg - INFO - Iter [12050/160000] lr: 5.548e-05, eta: 16:59:16, time: 0.413, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4529, decode.acc_seg: 67.5654, aux.loss_ce: 0.1924, aux.acc_seg: 67.0359, loss: 0.6453 2023-01-29 19:02:45,487 - mmseg - INFO - Iter [12100/160000] lr: 5.546e-05, eta: 16:58:47, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4854, decode.acc_seg: 67.1530, aux.loss_ce: 0.2042, aux.acc_seg: 66.7337, loss: 0.6896 2023-01-29 19:03:05,713 - mmseg - INFO - Iter [12150/160000] lr: 5.544e-05, eta: 16:58:21, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4588, decode.acc_seg: 66.7948, aux.loss_ce: 0.1935, aux.acc_seg: 66.3862, loss: 0.6523 2023-01-29 19:03:25,679 - mmseg - INFO - Iter [12200/160000] lr: 5.543e-05, eta: 16:57:52, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4357, decode.acc_seg: 66.2875, aux.loss_ce: 0.1862, aux.acc_seg: 65.9396, loss: 0.6219 2023-01-29 19:03:45,837 - mmseg - INFO - Iter [12250/160000] lr: 5.541e-05, eta: 16:57:25, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4739, decode.acc_seg: 66.7215, aux.loss_ce: 0.2019, aux.acc_seg: 66.4177, loss: 0.6758 2023-01-29 19:04:05,957 - mmseg - INFO - Iter [12300/160000] lr: 5.539e-05, eta: 16:56:58, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4721, decode.acc_seg: 66.9908, aux.loss_ce: 0.1992, aux.acc_seg: 66.7580, loss: 0.6713 2023-01-29 19:04:25,988 - mmseg - INFO - Iter [12350/160000] lr: 5.537e-05, eta: 16:56:30, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4690, decode.acc_seg: 67.9115, aux.loss_ce: 0.1988, aux.acc_seg: 67.4838, loss: 0.6677 2023-01-29 19:04:46,126 - mmseg - INFO - Iter [12400/160000] lr: 5.535e-05, eta: 16:56:03, time: 0.403, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4507, decode.acc_seg: 67.3323, aux.loss_ce: 0.1891, aux.acc_seg: 67.1668, loss: 0.6398 2023-01-29 19:05:07,089 - mmseg - INFO - Iter [12450/160000] lr: 5.533e-05, eta: 16:55:46, time: 0.419, data_time: 0.006, memory: 12319, decode.loss_ce: 0.4717, decode.acc_seg: 66.2314, aux.loss_ce: 0.1987, aux.acc_seg: 65.8980, loss: 0.6704 2023-01-29 19:05:27,564 - mmseg - INFO - Iter [12500/160000] lr: 5.531e-05, eta: 16:55:23, time: 0.409, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4541, decode.acc_seg: 65.7897, aux.loss_ce: 0.1924, aux.acc_seg: 65.4428, loss: 0.6465 2023-01-29 19:05:47,558 - mmseg - INFO - Iter [12550/160000] lr: 5.529e-05, eta: 16:54:55, time: 0.401, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4685, decode.acc_seg: 65.8288, aux.loss_ce: 0.1980, aux.acc_seg: 65.3675, loss: 0.6665 2023-01-29 19:06:07,542 - mmseg - INFO - Iter [12600/160000] lr: 5.528e-05, eta: 16:54:26, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4686, decode.acc_seg: 66.0702, aux.loss_ce: 0.1996, aux.acc_seg: 65.5602, loss: 0.6683 2023-01-29 19:06:31,169 - mmseg - INFO - Iter [12650/160000] lr: 5.526e-05, eta: 16:54:41, time: 0.473, data_time: 0.057, memory: 12319, decode.loss_ce: 0.4548, decode.acc_seg: 66.3264, aux.loss_ce: 0.1922, aux.acc_seg: 65.9786, loss: 0.6470 2023-01-29 19:06:51,383 - mmseg - INFO - Iter [12700/160000] lr: 5.524e-05, eta: 16:54:15, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4345, decode.acc_seg: 68.2164, aux.loss_ce: 0.1836, aux.acc_seg: 67.9682, loss: 0.6182 2023-01-29 19:07:11,412 - mmseg - INFO - Iter [12750/160000] lr: 5.522e-05, eta: 16:53:47, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4156, decode.acc_seg: 67.6236, aux.loss_ce: 0.1768, aux.acc_seg: 67.2444, loss: 0.5925 2023-01-29 19:07:31,335 - mmseg - INFO - Iter [12800/160000] lr: 5.520e-05, eta: 16:53:18, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4315, decode.acc_seg: 67.0209, aux.loss_ce: 0.1833, aux.acc_seg: 66.5244, loss: 0.6148 2023-01-29 19:07:51,429 - mmseg - INFO - Iter [12850/160000] lr: 5.518e-05, eta: 16:52:51, time: 0.402, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4787, decode.acc_seg: 66.6957, aux.loss_ce: 0.2025, aux.acc_seg: 66.3533, loss: 0.6811 2023-01-29 19:08:11,513 - mmseg - INFO - Iter [12900/160000] lr: 5.516e-05, eta: 16:52:24, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4563, decode.acc_seg: 66.9865, aux.loss_ce: 0.1953, aux.acc_seg: 66.4065, loss: 0.6516 2023-01-29 19:08:36,441 - mmseg - INFO - Iter [12950/160000] lr: 5.514e-05, eta: 16:51:56, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4553, decode.acc_seg: 67.5528, aux.loss_ce: 0.1936, aux.acc_seg: 67.1407, loss: 0.6489 2023-01-29 19:08:57,927 - mmseg - INFO - Saving checkpoint at 13000 iterations 2023-01-29 19:09:08,614 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 19:09:08,616 - mmseg - INFO - Iter [13000/160000] lr: 5.513e-05, eta: 16:54:40, time: 0.740, data_time: 0.108, memory: 12319, decode.loss_ce: 0.4515, decode.acc_seg: 67.0008, aux.loss_ce: 0.1914, aux.acc_seg: 66.4833, loss: 0.6429 2023-01-29 19:09:29,007 - mmseg - INFO - Iter [13050/160000] lr: 5.511e-05, eta: 16:54:17, time: 0.409, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4600, decode.acc_seg: 66.5092, aux.loss_ce: 0.1945, aux.acc_seg: 66.0884, loss: 0.6544 2023-01-29 19:09:49,172 - mmseg - INFO - Iter [13100/160000] lr: 5.509e-05, eta: 16:53:50, time: 0.404, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4517, decode.acc_seg: 66.1183, aux.loss_ce: 0.1887, aux.acc_seg: 65.8383, loss: 0.6405 2023-01-29 19:10:09,337 - mmseg - INFO - Iter [13150/160000] lr: 5.507e-05, eta: 16:53:23, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4472, decode.acc_seg: 66.4543, aux.loss_ce: 0.1888, aux.acc_seg: 66.0358, loss: 0.6360 2023-01-29 19:10:29,371 - mmseg - INFO - Iter [13200/160000] lr: 5.505e-05, eta: 16:52:55, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4355, decode.acc_seg: 64.1761, aux.loss_ce: 0.1820, aux.acc_seg: 64.1636, loss: 0.6175 2023-01-29 19:10:49,231 - mmseg - INFO - Iter [13250/160000] lr: 5.503e-05, eta: 16:52:25, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4376, decode.acc_seg: 69.1556, aux.loss_ce: 0.1875, aux.acc_seg: 68.5607, loss: 0.6252 2023-01-29 19:11:09,323 - mmseg - INFO - Iter [13300/160000] lr: 5.501e-05, eta: 16:51:58, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4398, decode.acc_seg: 66.5553, aux.loss_ce: 0.1860, aux.acc_seg: 66.0959, loss: 0.6258 2023-01-29 19:11:29,465 - mmseg - INFO - Iter [13350/160000] lr: 5.499e-05, eta: 16:51:31, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4419, decode.acc_seg: 66.7419, aux.loss_ce: 0.1865, aux.acc_seg: 66.3835, loss: 0.6284 2023-01-29 19:11:49,497 - mmseg - INFO - Iter [13400/160000] lr: 5.498e-05, eta: 16:51:03, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4537, decode.acc_seg: 65.7543, aux.loss_ce: 0.1948, aux.acc_seg: 65.4053, loss: 0.6485 2023-01-29 19:12:09,684 - mmseg - INFO - Iter [13450/160000] lr: 5.496e-05, eta: 16:50:37, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4443, decode.acc_seg: 66.7472, aux.loss_ce: 0.1885, aux.acc_seg: 66.3047, loss: 0.6327 2023-01-29 19:12:29,535 - mmseg - INFO - Iter [13500/160000] lr: 5.494e-05, eta: 16:50:07, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4293, decode.acc_seg: 67.5635, aux.loss_ce: 0.1816, aux.acc_seg: 67.2885, loss: 0.6109 2023-01-29 19:12:49,329 - mmseg - INFO - Iter [13550/160000] lr: 5.492e-05, eta: 16:49:37, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4325, decode.acc_seg: 68.8789, aux.loss_ce: 0.1822, aux.acc_seg: 68.5158, loss: 0.6147 2023-01-29 19:13:08,871 - mmseg - INFO - Iter [13600/160000] lr: 5.490e-05, eta: 16:49:04, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4479, decode.acc_seg: 66.2215, aux.loss_ce: 0.1901, aux.acc_seg: 65.5929, loss: 0.6380 2023-01-29 19:13:28,535 - mmseg - INFO - Iter [13650/160000] lr: 5.488e-05, eta: 16:48:32, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4742, decode.acc_seg: 66.7572, aux.loss_ce: 0.2028, aux.acc_seg: 66.2219, loss: 0.6770 2023-01-29 19:13:48,306 - mmseg - INFO - Iter [13700/160000] lr: 5.486e-05, eta: 16:48:02, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4202, decode.acc_seg: 67.3382, aux.loss_ce: 0.1768, aux.acc_seg: 67.0583, loss: 0.5970 2023-01-29 19:14:08,117 - mmseg - INFO - Iter [13750/160000] lr: 5.484e-05, eta: 16:47:32, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4726, decode.acc_seg: 67.7308, aux.loss_ce: 0.1992, aux.acc_seg: 67.4525, loss: 0.6717 2023-01-29 19:14:27,926 - mmseg - INFO - Iter [13800/160000] lr: 5.483e-05, eta: 16:47:02, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4349, decode.acc_seg: 66.8416, aux.loss_ce: 0.1850, aux.acc_seg: 66.5481, loss: 0.6199 2023-01-29 19:14:47,774 - mmseg - INFO - Iter [13850/160000] lr: 5.481e-05, eta: 16:46:33, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4532, decode.acc_seg: 65.8079, aux.loss_ce: 0.1936, aux.acc_seg: 65.3816, loss: 0.6469 2023-01-29 19:15:10,027 - mmseg - INFO - Iter [13900/160000] lr: 5.479e-05, eta: 16:46:28, time: 0.444, data_time: 0.050, memory: 12319, decode.loss_ce: 0.4637, decode.acc_seg: 66.4390, aux.loss_ce: 0.1940, aux.acc_seg: 66.3264, loss: 0.6578 2023-01-29 19:15:29,673 - mmseg - INFO - Iter [13950/160000] lr: 5.477e-05, eta: 16:45:58, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4319, decode.acc_seg: 67.5405, aux.loss_ce: 0.1838, aux.acc_seg: 67.1301, loss: 0.6157 2023-01-29 19:15:49,446 - mmseg - INFO - Saving checkpoint at 14000 iterations 2023-01-29 19:16:00,120 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 19:16:00,120 - mmseg - INFO - Iter [14000/160000] lr: 5.475e-05, eta: 16:47:19, time: 0.608, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4164, decode.acc_seg: 67.9435, aux.loss_ce: 0.1790, aux.acc_seg: 67.4059, loss: 0.5953 2023-01-29 19:16:20,432 - mmseg - INFO - Iter [14050/160000] lr: 5.473e-05, eta: 16:46:55, time: 0.407, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4254, decode.acc_seg: 66.9972, aux.loss_ce: 0.1797, aux.acc_seg: 66.6413, loss: 0.6051 2023-01-29 19:16:40,145 - mmseg - INFO - Iter [14100/160000] lr: 5.471e-05, eta: 16:46:24, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4747, decode.acc_seg: 65.6894, aux.loss_ce: 0.1998, aux.acc_seg: 65.5903, loss: 0.6745 2023-01-29 19:16:59,881 - mmseg - INFO - Iter [14150/160000] lr: 5.469e-05, eta: 16:45:53, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4787, decode.acc_seg: 66.0400, aux.loss_ce: 0.2007, aux.acc_seg: 65.6702, loss: 0.6794 2023-01-29 19:17:19,475 - mmseg - INFO - Iter [14200/160000] lr: 5.468e-05, eta: 16:45:21, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4278, decode.acc_seg: 67.8744, aux.loss_ce: 0.1803, aux.acc_seg: 67.6689, loss: 0.6081 2023-01-29 19:17:39,162 - mmseg - INFO - Iter [14250/160000] lr: 5.466e-05, eta: 16:44:50, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4209, decode.acc_seg: 67.0758, aux.loss_ce: 0.1795, aux.acc_seg: 66.6929, loss: 0.6004 2023-01-29 19:17:59,158 - mmseg - INFO - Iter [14300/160000] lr: 5.464e-05, eta: 16:44:22, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4226, decode.acc_seg: 66.7501, aux.loss_ce: 0.1793, aux.acc_seg: 66.3351, loss: 0.6019 2023-01-29 19:18:18,843 - mmseg - INFO - Iter [14350/160000] lr: 5.462e-05, eta: 16:43:52, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4132, decode.acc_seg: 67.8000, aux.loss_ce: 0.1757, aux.acc_seg: 67.5240, loss: 0.5888 2023-01-29 19:18:38,938 - mmseg - INFO - Iter [14400/160000] lr: 5.460e-05, eta: 16:43:25, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4345, decode.acc_seg: 67.3712, aux.loss_ce: 0.1853, aux.acc_seg: 66.8781, loss: 0.6198 2023-01-29 19:18:58,686 - mmseg - INFO - Iter [14450/160000] lr: 5.458e-05, eta: 16:42:55, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3943, decode.acc_seg: 68.6660, aux.loss_ce: 0.1698, aux.acc_seg: 68.0130, loss: 0.5642 2023-01-29 19:19:18,646 - mmseg - INFO - Iter [14500/160000] lr: 5.456e-05, eta: 16:42:26, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4221, decode.acc_seg: 68.4699, aux.loss_ce: 0.1800, aux.acc_seg: 67.8510, loss: 0.6021 2023-01-29 19:19:38,793 - mmseg - INFO - Iter [14550/160000] lr: 5.454e-05, eta: 16:42:01, time: 0.403, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4463, decode.acc_seg: 66.6585, aux.loss_ce: 0.1881, aux.acc_seg: 66.3736, loss: 0.6344 2023-01-29 19:19:58,619 - mmseg - INFO - Iter [14600/160000] lr: 5.453e-05, eta: 16:41:32, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4250, decode.acc_seg: 68.0629, aux.loss_ce: 0.1797, aux.acc_seg: 67.6813, loss: 0.6048 2023-01-29 19:20:18,831 - mmseg - INFO - Iter [14650/160000] lr: 5.451e-05, eta: 16:41:07, time: 0.406, data_time: 0.006, memory: 12319, decode.loss_ce: 0.4333, decode.acc_seg: 66.6590, aux.loss_ce: 0.1837, aux.acc_seg: 66.3625, loss: 0.6171 2023-01-29 19:20:39,085 - mmseg - INFO - Iter [14700/160000] lr: 5.449e-05, eta: 16:40:42, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4259, decode.acc_seg: 67.6620, aux.loss_ce: 0.1813, aux.acc_seg: 67.2399, loss: 0.6073 2023-01-29 19:20:59,122 - mmseg - INFO - Iter [14750/160000] lr: 5.447e-05, eta: 16:40:15, time: 0.401, data_time: 0.006, memory: 12319, decode.loss_ce: 0.4378, decode.acc_seg: 66.1039, aux.loss_ce: 0.1839, aux.acc_seg: 66.0051, loss: 0.6216 2023-01-29 19:21:19,138 - mmseg - INFO - Iter [14800/160000] lr: 5.445e-05, eta: 16:39:48, time: 0.400, data_time: 0.006, memory: 12319, decode.loss_ce: 0.4100, decode.acc_seg: 68.2428, aux.loss_ce: 0.1733, aux.acc_seg: 68.0090, loss: 0.5834 2023-01-29 19:21:39,083 - mmseg - INFO - Iter [14850/160000] lr: 5.443e-05, eta: 16:39:20, time: 0.399, data_time: 0.006, memory: 12319, decode.loss_ce: 0.4385, decode.acc_seg: 66.5129, aux.loss_ce: 0.1862, aux.acc_seg: 65.9631, loss: 0.6247 2023-01-29 19:21:58,843 - mmseg - INFO - Iter [14900/160000] lr: 5.441e-05, eta: 16:38:51, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4354, decode.acc_seg: 67.0889, aux.loss_ce: 0.1831, aux.acc_seg: 66.7268, loss: 0.6184 2023-01-29 19:22:18,792 - mmseg - INFO - Iter [14950/160000] lr: 5.439e-05, eta: 16:38:24, time: 0.401, data_time: 0.006, memory: 12319, decode.loss_ce: 0.4383, decode.acc_seg: 67.9538, aux.loss_ce: 0.1858, aux.acc_seg: 67.4860, loss: 0.6241 2023-01-29 19:22:38,835 - mmseg - INFO - Saving checkpoint at 15000 iterations 2023-01-29 19:22:49,201 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 19:22:49,201 - mmseg - INFO - Iter [15000/160000] lr: 5.438e-05, eta: 16:39:38, time: 0.608, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4387, decode.acc_seg: 67.1407, aux.loss_ce: 0.1858, aux.acc_seg: 66.7274, loss: 0.6245 2023-01-29 19:23:09,181 - mmseg - INFO - Iter [15050/160000] lr: 5.436e-05, eta: 16:39:10, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4304, decode.acc_seg: 67.7469, aux.loss_ce: 0.1813, aux.acc_seg: 67.3038, loss: 0.6117 2023-01-29 19:23:29,076 - mmseg - INFO - Iter [15100/160000] lr: 5.434e-05, eta: 16:38:42, time: 0.398, data_time: 0.006, memory: 12319, decode.loss_ce: 0.4381, decode.acc_seg: 67.4205, aux.loss_ce: 0.1857, aux.acc_seg: 66.9643, loss: 0.6238 2023-01-29 19:23:49,159 - mmseg - INFO - Iter [15150/160000] lr: 5.432e-05, eta: 16:38:16, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4241, decode.acc_seg: 65.8576, aux.loss_ce: 0.1792, aux.acc_seg: 65.5340, loss: 0.6033 2023-01-29 19:24:11,552 - mmseg - INFO - Iter [15200/160000] lr: 5.430e-05, eta: 16:38:12, time: 0.448, data_time: 0.050, memory: 12319, decode.loss_ce: 0.3862, decode.acc_seg: 68.1485, aux.loss_ce: 0.1646, aux.acc_seg: 67.7438, loss: 0.5507 2023-01-29 19:24:31,629 - mmseg - INFO - Iter [15250/160000] lr: 5.428e-05, eta: 16:37:45, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4049, decode.acc_seg: 67.1542, aux.loss_ce: 0.1743, aux.acc_seg: 66.7626, loss: 0.5792 2023-01-29 19:24:51,547 - mmseg - INFO - Iter [15300/160000] lr: 5.426e-05, eta: 16:37:17, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4074, decode.acc_seg: 67.0005, aux.loss_ce: 0.1739, aux.acc_seg: 66.6340, loss: 0.5813 2023-01-29 19:25:11,803 - mmseg - INFO - Iter [15350/160000] lr: 5.424e-05, eta: 16:36:52, time: 0.405, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4326, decode.acc_seg: 66.5020, aux.loss_ce: 0.1846, aux.acc_seg: 65.9701, loss: 0.6172 2023-01-29 19:25:31,606 - mmseg - INFO - Iter [15400/160000] lr: 5.423e-05, eta: 16:36:24, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4101, decode.acc_seg: 69.0273, aux.loss_ce: 0.1737, aux.acc_seg: 68.8418, loss: 0.5838 2023-01-29 19:25:51,788 - mmseg - INFO - Iter [15450/160000] lr: 5.421e-05, eta: 16:35:58, time: 0.403, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4087, decode.acc_seg: 67.0361, aux.loss_ce: 0.1766, aux.acc_seg: 66.5107, loss: 0.5853 2023-01-29 19:26:11,778 - mmseg - INFO - Iter [15500/160000] lr: 5.419e-05, eta: 16:35:31, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4343, decode.acc_seg: 66.7573, aux.loss_ce: 0.1879, aux.acc_seg: 66.0732, loss: 0.6222 2023-01-29 19:26:31,713 - mmseg - INFO - Iter [15550/160000] lr: 5.417e-05, eta: 16:35:04, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4014, decode.acc_seg: 68.9923, aux.loss_ce: 0.1706, aux.acc_seg: 68.6097, loss: 0.5719 2023-01-29 19:26:51,726 - mmseg - INFO - Iter [15600/160000] lr: 5.415e-05, eta: 16:34:37, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4476, decode.acc_seg: 67.8651, aux.loss_ce: 0.1908, aux.acc_seg: 67.5087, loss: 0.6384 2023-01-29 19:27:11,383 - mmseg - INFO - Iter [15650/160000] lr: 5.413e-05, eta: 16:34:07, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4352, decode.acc_seg: 68.5745, aux.loss_ce: 0.1840, aux.acc_seg: 68.2357, loss: 0.6192 2023-01-29 19:27:30,970 - mmseg - INFO - Iter [15700/160000] lr: 5.411e-05, eta: 16:33:37, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4386, decode.acc_seg: 67.5196, aux.loss_ce: 0.1861, aux.acc_seg: 66.9634, loss: 0.6247 2023-01-29 19:27:50,735 - mmseg - INFO - Iter [15750/160000] lr: 5.409e-05, eta: 16:33:08, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4376, decode.acc_seg: 66.3215, aux.loss_ce: 0.1849, aux.acc_seg: 65.8508, loss: 0.6225 2023-01-29 19:28:10,494 - mmseg - INFO - Iter [15800/160000] lr: 5.408e-05, eta: 16:32:39, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4058, decode.acc_seg: 67.0940, aux.loss_ce: 0.1707, aux.acc_seg: 66.8249, loss: 0.5765 2023-01-29 19:28:30,342 - mmseg - INFO - Iter [15850/160000] lr: 5.406e-05, eta: 16:32:11, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4303, decode.acc_seg: 66.7554, aux.loss_ce: 0.1800, aux.acc_seg: 66.6744, loss: 0.6103 2023-01-29 19:28:50,327 - mmseg - INFO - Iter [15900/160000] lr: 5.404e-05, eta: 16:31:44, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4361, decode.acc_seg: 68.4836, aux.loss_ce: 0.1830, aux.acc_seg: 68.1197, loss: 0.6191 2023-01-29 19:29:10,387 - mmseg - INFO - Iter [15950/160000] lr: 5.402e-05, eta: 16:31:19, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4393, decode.acc_seg: 68.6686, aux.loss_ce: 0.1861, aux.acc_seg: 68.3125, loss: 0.6254 2023-01-29 19:29:30,145 - mmseg - INFO - Saving checkpoint at 16000 iterations 2023-01-29 19:29:40,654 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 19:29:40,654 - mmseg - INFO - Iter [16000/160000] lr: 5.400e-05, eta: 16:32:25, time: 0.605, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4085, decode.acc_seg: 67.7519, aux.loss_ce: 0.1742, aux.acc_seg: 67.3348, loss: 0.5827 2023-01-29 19:31:48,014 - mmseg - INFO - per class results: 2023-01-29 19:31:48,021 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 77.58 | 85.91 | | building | 83.41 | 93.86 | | sky | 94.51 | 97.09 | | floor | 83.49 | 90.48 | | tree | 75.42 | 88.92 | | ceiling | 83.15 | 91.97 | | road | 83.57 | 88.65 | | bed | 90.44 | 96.48 | | windowpane | 62.41 | 79.51 | | grass | 66.19 | 83.32 | | cabinet | 57.69 | 68.95 | | sidewalk | 65.43 | 82.54 | | person | 83.18 | 90.91 | | earth | 37.32 | 47.85 | | door | 49.85 | 67.22 | | table | 60.02 | 74.88 | | mountain | 61.16 | 76.69 | | plant | 52.15 | 61.64 | | curtain | 76.9 | 88.83 | | chair | 57.75 | 71.07 | | car | 85.17 | 93.63 | | water | 66.68 | 85.66 | | painting | 73.4 | 87.87 | | sofa | 67.98 | 79.49 | | shelf | 40.02 | 50.57 | | house | 50.27 | 60.52 | | sea | 77.37 | 90.14 | | mirror | 63.58 | 67.95 | | rug | 70.45 | 78.1 | | field | 32.24 | 55.7 | | armchair | 43.85 | 70.96 | | seat | 67.32 | 87.31 | | fence | 46.69 | 62.76 | | desk | 46.7 | 68.35 | | rock | 54.86 | 71.03 | | wardrobe | 50.1 | 65.54 | | lamp | 59.92 | 75.59 | | bathtub | 78.51 | 84.76 | | railing | 36.57 | 47.62 | | cushion | 58.75 | 71.1 | | base | 30.39 | 52.5 | | box | 27.88 | 36.11 | | column | 49.22 | 68.87 | | signboard | 37.15 | 45.07 | | chest of drawers | 26.0 | 85.63 | | counter | 38.95 | 45.32 | | sand | 40.49 | 52.64 | | sink | 72.73 | 80.06 | | skyscraper | 37.75 | 41.96 | | fireplace | 73.75 | 92.57 | | refrigerator | 72.05 | 80.19 | | grandstand | 61.29 | 81.94 | | path | 25.75 | 34.11 | | stairs | 44.53 | 57.13 | | runway | 73.9 | 95.1 | | case | 66.96 | 92.26 | | pool table | 93.41 | 97.1 | | pillow | 60.04 | 70.53 | | screen door | 72.19 | 93.28 | | stairway | 46.5 | 59.05 | | river | 12.24 | 14.93 | | bridge | 71.48 | 91.29 | | bookcase | 35.55 | 56.64 | | blind | 46.8 | 61.75 | | coffee table | 57.33 | 88.26 | | toilet | 88.0 | 92.65 | | flower | 36.56 | 52.4 | | book | 50.64 | 71.95 | | hill | 9.5 | 27.34 | | bench | 55.4 | 75.27 | | countertop | 59.51 | 73.04 | | stove | 70.92 | 79.24 | | palm | 54.6 | 83.31 | | kitchen island | 38.62 | 69.66 | | computer | 75.47 | 93.07 | | swivel chair | 48.55 | 68.33 | | boat | 68.12 | 87.09 | | bar | 47.37 | 66.97 | | arcade machine | 67.15 | 84.24 | | hovel | 52.73 | 64.25 | | bus | 87.92 | 96.31 | | towel | 52.26 | 78.8 | | light | 48.09 | 54.2 | | truck | 37.11 | 43.82 | | tower | 26.52 | 56.78 | | chandelier | 67.31 | 82.54 | | awning | 28.22 | 30.15 | | streetlight | 24.66 | 31.07 | | booth | 58.18 | 64.15 | | television receiver | 67.85 | 83.2 | | airplane | 64.47 | 71.79 | | dirt track | 2.24 | 9.78 | | apparel | 37.51 | 60.82 | | pole | 21.27 | 28.43 | | land | 21.87 | 27.59 | | bannister | 1.84 | 2.28 | | escalator | 52.43 | 86.32 | | ottoman | 49.62 | 76.62 | | bottle | 39.08 | 73.66 | | buffet | 49.35 | 70.55 | | poster | 18.67 | 20.58 | | stage | 11.4 | 41.91 | | van | 32.97 | 41.83 | | ship | 23.84 | 26.88 | | fountain | 55.09 | 56.97 | | conveyer belt | 53.16 | 93.55 | | canopy | 39.74 | 83.83 | | washer | 75.53 | 79.27 | | plaything | 39.53 | 61.64 | | swimming pool | 47.12 | 90.92 | | stool | 42.99 | 55.99 | | barrel | 50.89 | 65.06 | | basket | 38.02 | 53.42 | | waterfall | 62.24 | 84.12 | | tent | 89.74 | 98.74 | | bag | 23.46 | 32.51 | | minibike | 71.28 | 89.95 | | cradle | 73.42 | 98.39 | | oven | 25.37 | 53.23 | | ball | 49.2 | 73.8 | | food | 32.18 | 34.58 | | step | 4.75 | 4.97 | | tank | 49.18 | 66.83 | | trade name | 28.29 | 31.89 | | microwave | 65.3 | 71.21 | | pot | 46.86 | 59.36 | | animal | 71.49 | 75.48 | | bicycle | 58.16 | 72.76 | | lake | 15.66 | 16.44 | | dishwasher | 56.11 | 75.71 | | screen | 52.84 | 92.78 | | blanket | 11.08 | 13.14 | | sculpture | 60.73 | 84.05 | | hood | 59.22 | 69.26 | | sconce | 26.09 | 28.47 | | vase | 37.11 | 55.16 | | traffic light | 30.06 | 48.87 | | tray | 4.33 | 4.96 | | ashcan | 41.7 | 58.26 | | fan | 56.67 | 71.15 | | pier | 34.6 | 36.34 | | crt screen | 0.0 | 0.0 | | plate | 50.27 | 74.43 | | monitor | 54.23 | 80.72 | | bulletin board | 44.92 | 53.96 | | shower | 0.0 | 0.0 | | radiator | 64.23 | 72.36 | | glass | 10.01 | 10.31 | | clock | 25.44 | 29.44 | | flag | 31.97 | 33.73 | +---------------------+-------+-------+ 2023-01-29 19:31:48,021 - mmseg - INFO - Summary: 2023-01-29 19:31:48,021 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 83.57 | 50.36 | 64.68 | +-------+-------+-------+ 2023-01-29 19:31:58,599 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. 2023-01-29 19:31:58,600 - mmseg - INFO - Best mIoU is 0.5036 at 16000 iter. 2023-01-29 19:31:58,613 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 19:31:58,614 - mmseg - INFO - Iter(val) [250] aAcc: 0.8357, mIoU: 0.5036, mAcc: 0.6468, IoU.wall: 0.7758, IoU.building: 0.8341, IoU.sky: 0.9451, IoU.floor: 0.8349, IoU.tree: 0.7542, IoU.ceiling: 0.8315, IoU.road: 0.8357, IoU.bed : 0.9044, IoU.windowpane: 0.6241, IoU.grass: 0.6619, IoU.cabinet: 0.5769, IoU.sidewalk: 0.6543, IoU.person: 0.8318, IoU.earth: 0.3732, IoU.door: 0.4985, IoU.table: 0.6002, IoU.mountain: 0.6116, IoU.plant: 0.5215, IoU.curtain: 0.7690, IoU.chair: 0.5775, IoU.car: 0.8517, IoU.water: 0.6668, IoU.painting: 0.7340, IoU.sofa: 0.6798, IoU.shelf: 0.4002, IoU.house: 0.5027, IoU.sea: 0.7737, IoU.mirror: 0.6358, IoU.rug: 0.7045, IoU.field: 0.3224, IoU.armchair: 0.4385, IoU.seat: 0.6732, IoU.fence: 0.4669, IoU.desk: 0.4670, IoU.rock: 0.5486, IoU.wardrobe: 0.5010, IoU.lamp: 0.5992, IoU.bathtub: 0.7851, IoU.railing: 0.3657, IoU.cushion: 0.5875, IoU.base: 0.3039, IoU.box: 0.2788, IoU.column: 0.4922, IoU.signboard: 0.3715, IoU.chest of drawers: 0.2600, IoU.counter: 0.3895, IoU.sand: 0.4049, IoU.sink: 0.7273, IoU.skyscraper: 0.3775, IoU.fireplace: 0.7375, IoU.refrigerator: 0.7205, IoU.grandstand: 0.6129, IoU.path: 0.2575, IoU.stairs: 0.4453, IoU.runway: 0.7390, IoU.case: 0.6696, IoU.pool table: 0.9341, IoU.pillow: 0.6004, IoU.screen door: 0.7219, IoU.stairway: 0.4650, IoU.river: 0.1224, IoU.bridge: 0.7148, IoU.bookcase: 0.3555, IoU.blind: 0.4680, IoU.coffee table: 0.5733, IoU.toilet: 0.8800, IoU.flower: 0.3656, IoU.book: 0.5064, IoU.hill: 0.0950, IoU.bench: 0.5540, IoU.countertop: 0.5951, IoU.stove: 0.7092, IoU.palm: 0.5460, IoU.kitchen island: 0.3862, IoU.computer: 0.7547, IoU.swivel chair: 0.4855, IoU.boat: 0.6812, IoU.bar: 0.4737, IoU.arcade machine: 0.6715, IoU.hovel: 0.5273, IoU.bus: 0.8792, IoU.towel: 0.5226, IoU.light: 0.4809, IoU.truck: 0.3711, IoU.tower: 0.2652, IoU.chandelier: 0.6731, IoU.awning: 0.2822, IoU.streetlight: 0.2466, IoU.booth: 0.5818, IoU.television receiver: 0.6785, IoU.airplane: 0.6447, IoU.dirt track: 0.0224, IoU.apparel: 0.3751, IoU.pole: 0.2127, IoU.land: 0.2187, IoU.bannister: 0.0184, IoU.escalator: 0.5243, IoU.ottoman: 0.4962, IoU.bottle: 0.3908, IoU.buffet: 0.4935, IoU.poster: 0.1867, IoU.stage: 0.1140, IoU.van: 0.3297, IoU.ship: 0.2384, IoU.fountain: 0.5509, IoU.conveyer belt: 0.5316, IoU.canopy: 0.3974, IoU.washer: 0.7553, IoU.plaything: 0.3953, IoU.swimming pool: 0.4712, IoU.stool: 0.4299, IoU.barrel: 0.5089, IoU.basket: 0.3802, IoU.waterfall: 0.6224, IoU.tent: 0.8974, IoU.bag: 0.2346, IoU.minibike: 0.7128, IoU.cradle: 0.7342, IoU.oven: 0.2537, IoU.ball: 0.4920, IoU.food: 0.3218, IoU.step: 0.0475, IoU.tank: 0.4918, IoU.trade name: 0.2829, IoU.microwave: 0.6530, IoU.pot: 0.4686, IoU.animal: 0.7149, IoU.bicycle: 0.5816, IoU.lake: 0.1566, IoU.dishwasher: 0.5611, IoU.screen: 0.5284, IoU.blanket: 0.1108, IoU.sculpture: 0.6073, IoU.hood: 0.5922, IoU.sconce: 0.2609, IoU.vase: 0.3711, IoU.traffic light: 0.3006, IoU.tray: 0.0433, IoU.ashcan: 0.4170, IoU.fan: 0.5667, IoU.pier: 0.3460, IoU.crt screen: 0.0000, IoU.plate: 0.5027, IoU.monitor: 0.5423, IoU.bulletin board: 0.4492, IoU.shower: 0.0000, IoU.radiator: 0.6423, IoU.glass: 0.1001, IoU.clock: 0.2544, IoU.flag: 0.3197, Acc.wall: 0.8591, Acc.building: 0.9386, Acc.sky: 0.9709, Acc.floor: 0.9048, Acc.tree: 0.8892, Acc.ceiling: 0.9197, Acc.road: 0.8865, Acc.bed : 0.9648, Acc.windowpane: 0.7951, Acc.grass: 0.8332, Acc.cabinet: 0.6895, Acc.sidewalk: 0.8254, Acc.person: 0.9091, Acc.earth: 0.4785, Acc.door: 0.6722, Acc.table: 0.7488, Acc.mountain: 0.7669, Acc.plant: 0.6164, Acc.curtain: 0.8883, Acc.chair: 0.7107, Acc.car: 0.9363, Acc.water: 0.8566, Acc.painting: 0.8787, Acc.sofa: 0.7949, Acc.shelf: 0.5057, Acc.house: 0.6052, Acc.sea: 0.9014, Acc.mirror: 0.6795, Acc.rug: 0.7810, Acc.field: 0.5570, Acc.armchair: 0.7096, Acc.seat: 0.8731, Acc.fence: 0.6276, Acc.desk: 0.6835, Acc.rock: 0.7103, Acc.wardrobe: 0.6554, Acc.lamp: 0.7559, Acc.bathtub: 0.8476, Acc.railing: 0.4762, Acc.cushion: 0.7110, Acc.base: 0.5250, Acc.box: 0.3611, Acc.column: 0.6887, Acc.signboard: 0.4507, Acc.chest of drawers: 0.8563, Acc.counter: 0.4532, Acc.sand: 0.5264, Acc.sink: 0.8006, Acc.skyscraper: 0.4196, Acc.fireplace: 0.9257, Acc.refrigerator: 0.8019, Acc.grandstand: 0.8194, Acc.path: 0.3411, Acc.stairs: 0.5713, Acc.runway: 0.9510, Acc.case: 0.9226, Acc.pool table: 0.9710, Acc.pillow: 0.7053, Acc.screen door: 0.9328, Acc.stairway: 0.5905, Acc.river: 0.1493, Acc.bridge: 0.9129, Acc.bookcase: 0.5664, Acc.blind: 0.6175, Acc.coffee table: 0.8826, Acc.toilet: 0.9265, Acc.flower: 0.5240, Acc.book: 0.7195, Acc.hill: 0.2734, Acc.bench: 0.7527, Acc.countertop: 0.7304, Acc.stove: 0.7924, Acc.palm: 0.8331, Acc.kitchen island: 0.6966, Acc.computer: 0.9307, Acc.swivel chair: 0.6833, Acc.boat: 0.8709, Acc.bar: 0.6697, Acc.arcade machine: 0.8424, Acc.hovel: 0.6425, Acc.bus: 0.9631, Acc.towel: 0.7880, Acc.light: 0.5420, Acc.truck: 0.4382, Acc.tower: 0.5678, Acc.chandelier: 0.8254, Acc.awning: 0.3015, Acc.streetlight: 0.3107, Acc.booth: 0.6415, Acc.television receiver: 0.8320, Acc.airplane: 0.7179, Acc.dirt track: 0.0978, Acc.apparel: 0.6082, Acc.pole: 0.2843, Acc.land: 0.2759, Acc.bannister: 0.0228, Acc.escalator: 0.8632, Acc.ottoman: 0.7662, Acc.bottle: 0.7366, Acc.buffet: 0.7055, Acc.poster: 0.2058, Acc.stage: 0.4191, Acc.van: 0.4183, Acc.ship: 0.2688, Acc.fountain: 0.5697, Acc.conveyer belt: 0.9355, Acc.canopy: 0.8383, Acc.washer: 0.7927, Acc.plaything: 0.6164, Acc.swimming pool: 0.9092, Acc.stool: 0.5599, Acc.barrel: 0.6506, Acc.basket: 0.5342, Acc.waterfall: 0.8412, Acc.tent: 0.9874, Acc.bag: 0.3251, Acc.minibike: 0.8995, Acc.cradle: 0.9839, Acc.oven: 0.5323, Acc.ball: 0.7380, Acc.food: 0.3458, Acc.step: 0.0497, Acc.tank: 0.6683, Acc.trade name: 0.3189, Acc.microwave: 0.7121, Acc.pot: 0.5936, Acc.animal: 0.7548, Acc.bicycle: 0.7276, Acc.lake: 0.1644, Acc.dishwasher: 0.7571, Acc.screen: 0.9278, Acc.blanket: 0.1314, Acc.sculpture: 0.8405, Acc.hood: 0.6926, Acc.sconce: 0.2847, Acc.vase: 0.5516, Acc.traffic light: 0.4887, Acc.tray: 0.0496, Acc.ashcan: 0.5826, Acc.fan: 0.7115, Acc.pier: 0.3634, Acc.crt screen: 0.0000, Acc.plate: 0.7443, Acc.monitor: 0.8072, Acc.bulletin board: 0.5396, Acc.shower: 0.0000, Acc.radiator: 0.7236, Acc.glass: 0.1031, Acc.clock: 0.2944, Acc.flag: 0.3373 2023-01-29 19:32:18,894 - mmseg - INFO - Iter [16050/160000] lr: 5.398e-05, eta: 16:52:38, time: 3.165, data_time: 2.766, memory: 12319, decode.loss_ce: 0.4175, decode.acc_seg: 69.0056, aux.loss_ce: 0.1760, aux.acc_seg: 68.6828, loss: 0.5935 2023-01-29 19:32:38,767 - mmseg - INFO - Iter [16100/160000] lr: 5.396e-05, eta: 16:52:05, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4227, decode.acc_seg: 67.8562, aux.loss_ce: 0.1792, aux.acc_seg: 67.5161, loss: 0.6019 2023-01-29 19:32:58,748 - mmseg - INFO - Iter [16150/160000] lr: 5.394e-05, eta: 16:51:34, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4273, decode.acc_seg: 68.4231, aux.loss_ce: 0.1788, aux.acc_seg: 68.0622, loss: 0.6061 2023-01-29 19:33:18,561 - mmseg - INFO - Iter [16200/160000] lr: 5.393e-05, eta: 16:51:02, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4396, decode.acc_seg: 68.2878, aux.loss_ce: 0.1865, aux.acc_seg: 67.9481, loss: 0.6261 2023-01-29 19:33:38,847 - mmseg - INFO - Iter [16250/160000] lr: 5.391e-05, eta: 16:50:34, time: 0.406, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3922, decode.acc_seg: 67.9847, aux.loss_ce: 0.1658, aux.acc_seg: 67.7829, loss: 0.5580 2023-01-29 19:33:59,169 - mmseg - INFO - Iter [16300/160000] lr: 5.389e-05, eta: 16:50:06, time: 0.406, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4421, decode.acc_seg: 68.4854, aux.loss_ce: 0.1897, aux.acc_seg: 67.8170, loss: 0.6318 2023-01-29 19:34:19,449 - mmseg - INFO - Iter [16350/160000] lr: 5.387e-05, eta: 16:49:38, time: 0.406, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4181, decode.acc_seg: 67.4325, aux.loss_ce: 0.1743, aux.acc_seg: 67.1369, loss: 0.5924 2023-01-29 19:34:39,552 - mmseg - INFO - Iter [16400/160000] lr: 5.385e-05, eta: 16:49:08, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4362, decode.acc_seg: 69.2313, aux.loss_ce: 0.1852, aux.acc_seg: 68.7889, loss: 0.6214 2023-01-29 19:35:02,311 - mmseg - INFO - Iter [16450/160000] lr: 5.383e-05, eta: 16:49:00, time: 0.452, data_time: 0.051, memory: 12319, decode.loss_ce: 0.4182, decode.acc_seg: 68.8413, aux.loss_ce: 0.1786, aux.acc_seg: 68.2723, loss: 0.5968 2023-01-29 19:35:22,190 - mmseg - INFO - Iter [16500/160000] lr: 5.381e-05, eta: 16:48:30, time: 0.401, data_time: 0.007, memory: 12319, decode.loss_ce: 0.4089, decode.acc_seg: 68.1184, aux.loss_ce: 0.1737, aux.acc_seg: 67.9056, loss: 0.5825 2023-01-29 19:35:41,886 - mmseg - INFO - Iter [16550/160000] lr: 5.379e-05, eta: 16:47:57, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3958, decode.acc_seg: 69.6825, aux.loss_ce: 0.1697, aux.acc_seg: 69.2345, loss: 0.5655 2023-01-29 19:36:02,051 - mmseg - INFO - Iter [16600/160000] lr: 5.378e-05, eta: 16:47:28, time: 0.403, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4108, decode.acc_seg: 68.3861, aux.loss_ce: 0.1748, aux.acc_seg: 67.9252, loss: 0.5856 2023-01-29 19:36:22,029 - mmseg - INFO - Iter [16650/160000] lr: 5.376e-05, eta: 16:46:57, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3978, decode.acc_seg: 68.6276, aux.loss_ce: 0.1712, aux.acc_seg: 67.9615, loss: 0.5690 2023-01-29 19:36:42,102 - mmseg - INFO - Iter [16700/160000] lr: 5.374e-05, eta: 16:46:28, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4129, decode.acc_seg: 66.5331, aux.loss_ce: 0.1745, aux.acc_seg: 66.2304, loss: 0.5874 2023-01-29 19:37:01,965 - mmseg - INFO - Iter [16750/160000] lr: 5.372e-05, eta: 16:45:56, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3906, decode.acc_seg: 68.4700, aux.loss_ce: 0.1662, aux.acc_seg: 68.0949, loss: 0.5568 2023-01-29 19:37:21,998 - mmseg - INFO - Iter [16800/160000] lr: 5.370e-05, eta: 16:45:26, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3957, decode.acc_seg: 67.7812, aux.loss_ce: 0.1697, aux.acc_seg: 67.2793, loss: 0.5654 2023-01-29 19:37:41,827 - mmseg - INFO - Iter [16850/160000] lr: 5.368e-05, eta: 16:44:55, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4143, decode.acc_seg: 67.1333, aux.loss_ce: 0.1755, aux.acc_seg: 66.6479, loss: 0.5898 2023-01-29 19:38:01,455 - mmseg - INFO - Iter [16900/160000] lr: 5.366e-05, eta: 16:44:22, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4369, decode.acc_seg: 67.9618, aux.loss_ce: 0.1845, aux.acc_seg: 67.6744, loss: 0.6214 2023-01-29 19:38:21,321 - mmseg - INFO - Iter [16950/160000] lr: 5.364e-05, eta: 16:43:50, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4216, decode.acc_seg: 66.8997, aux.loss_ce: 0.1783, aux.acc_seg: 66.6916, loss: 0.6000 2023-01-29 19:38:40,794 - mmseg - INFO - Saving checkpoint at 17000 iterations 2023-01-29 19:38:51,947 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 19:38:51,964 - mmseg - INFO - Iter [17000/160000] lr: 5.363e-05, eta: 16:44:48, time: 0.608, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4239, decode.acc_seg: 67.1724, aux.loss_ce: 0.1793, aux.acc_seg: 66.8243, loss: 0.6032 2023-01-29 19:39:12,910 - mmseg - INFO - Iter [17050/160000] lr: 5.361e-05, eta: 16:44:28, time: 0.424, data_time: 0.009, memory: 12319, decode.loss_ce: 0.4073, decode.acc_seg: 68.7606, aux.loss_ce: 0.1712, aux.acc_seg: 68.4508, loss: 0.5784 2023-01-29 19:39:32,979 - mmseg - INFO - Iter [17100/160000] lr: 5.359e-05, eta: 16:43:58, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4225, decode.acc_seg: 67.5233, aux.loss_ce: 0.1782, aux.acc_seg: 67.3743, loss: 0.6008 2023-01-29 19:39:53,180 - mmseg - INFO - Iter [17150/160000] lr: 5.357e-05, eta: 16:43:30, time: 0.405, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4094, decode.acc_seg: 68.4203, aux.loss_ce: 0.1726, aux.acc_seg: 68.2007, loss: 0.5819 2023-01-29 19:40:13,119 - mmseg - INFO - Iter [17200/160000] lr: 5.355e-05, eta: 16:42:59, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4055, decode.acc_seg: 67.9738, aux.loss_ce: 0.1729, aux.acc_seg: 67.4144, loss: 0.5783 2023-01-29 19:40:32,812 - mmseg - INFO - Iter [17250/160000] lr: 5.353e-05, eta: 16:42:27, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4437, decode.acc_seg: 68.9008, aux.loss_ce: 0.1882, aux.acc_seg: 68.3333, loss: 0.6319 2023-01-29 19:40:52,678 - mmseg - INFO - Iter [17300/160000] lr: 5.351e-05, eta: 16:41:56, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4243, decode.acc_seg: 67.2584, aux.loss_ce: 0.1796, aux.acc_seg: 66.7483, loss: 0.6039 2023-01-29 19:41:12,385 - mmseg - INFO - Iter [17350/160000] lr: 5.349e-05, eta: 16:41:23, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4150, decode.acc_seg: 66.2475, aux.loss_ce: 0.1735, aux.acc_seg: 65.9255, loss: 0.5885 2023-01-29 19:41:32,378 - mmseg - INFO - Iter [17400/160000] lr: 5.348e-05, eta: 16:40:54, time: 0.401, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4127, decode.acc_seg: 67.2633, aux.loss_ce: 0.1744, aux.acc_seg: 66.6762, loss: 0.5871 2023-01-29 19:41:52,565 - mmseg - INFO - Iter [17450/160000] lr: 5.346e-05, eta: 16:40:26, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4034, decode.acc_seg: 66.3387, aux.loss_ce: 0.1731, aux.acc_seg: 65.6474, loss: 0.5764 2023-01-29 19:42:12,582 - mmseg - INFO - Iter [17500/160000] lr: 5.344e-05, eta: 16:39:56, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4070, decode.acc_seg: 67.9774, aux.loss_ce: 0.1694, aux.acc_seg: 67.8436, loss: 0.5763 2023-01-29 19:42:32,650 - mmseg - INFO - Iter [17550/160000] lr: 5.342e-05, eta: 16:39:27, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4065, decode.acc_seg: 67.8228, aux.loss_ce: 0.1736, aux.acc_seg: 67.4740, loss: 0.5801 2023-01-29 19:42:52,630 - mmseg - INFO - Iter [17600/160000] lr: 5.340e-05, eta: 16:38:58, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4254, decode.acc_seg: 66.7452, aux.loss_ce: 0.1795, aux.acc_seg: 66.4197, loss: 0.6049 2023-01-29 19:43:12,234 - mmseg - INFO - Iter [17650/160000] lr: 5.338e-05, eta: 16:38:25, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4359, decode.acc_seg: 69.1140, aux.loss_ce: 0.1821, aux.acc_seg: 68.7983, loss: 0.6181 2023-01-29 19:43:34,385 - mmseg - INFO - Iter [17700/160000] lr: 5.336e-05, eta: 16:38:13, time: 0.443, data_time: 0.049, memory: 12319, decode.loss_ce: 0.4073, decode.acc_seg: 66.2094, aux.loss_ce: 0.1718, aux.acc_seg: 66.0851, loss: 0.5791 2023-01-29 19:43:54,222 - mmseg - INFO - Iter [17750/160000] lr: 5.334e-05, eta: 16:37:42, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4049, decode.acc_seg: 66.6064, aux.loss_ce: 0.1706, aux.acc_seg: 66.2787, loss: 0.5754 2023-01-29 19:44:14,037 - mmseg - INFO - Iter [17800/160000] lr: 5.333e-05, eta: 16:37:11, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3653, decode.acc_seg: 71.2674, aux.loss_ce: 0.1580, aux.acc_seg: 70.6678, loss: 0.5233 2023-01-29 19:44:33,733 - mmseg - INFO - Iter [17850/160000] lr: 5.331e-05, eta: 16:36:39, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3894, decode.acc_seg: 69.5346, aux.loss_ce: 0.1678, aux.acc_seg: 68.9066, loss: 0.5572 2023-01-29 19:44:53,708 - mmseg - INFO - Iter [17900/160000] lr: 5.329e-05, eta: 16:36:10, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4038, decode.acc_seg: 67.2580, aux.loss_ce: 0.1723, aux.acc_seg: 66.8046, loss: 0.5761 2023-01-29 19:45:13,573 - mmseg - INFO - Iter [17950/160000] lr: 5.327e-05, eta: 16:35:40, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4185, decode.acc_seg: 69.1284, aux.loss_ce: 0.1789, aux.acc_seg: 68.7779, loss: 0.5974 2023-01-29 19:45:33,355 - mmseg - INFO - Saving checkpoint at 18000 iterations 2023-01-29 19:45:43,540 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 19:45:43,549 - mmseg - INFO - Iter [18000/160000] lr: 5.325e-05, eta: 16:36:29, time: 0.598, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3967, decode.acc_seg: 68.5013, aux.loss_ce: 0.1699, aux.acc_seg: 67.8678, loss: 0.5667 2023-01-29 19:46:04,487 - mmseg - INFO - Iter [18050/160000] lr: 5.323e-05, eta: 16:36:07, time: 0.419, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3921, decode.acc_seg: 68.1968, aux.loss_ce: 0.1671, aux.acc_seg: 67.8067, loss: 0.5592 2023-01-29 19:46:24,236 - mmseg - INFO - Iter [18100/160000] lr: 5.321e-05, eta: 16:35:36, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3709, decode.acc_seg: 69.8763, aux.loss_ce: 0.1580, aux.acc_seg: 69.5142, loss: 0.5289 2023-01-29 19:46:44,190 - mmseg - INFO - Iter [18150/160000] lr: 5.319e-05, eta: 16:35:06, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3899, decode.acc_seg: 67.8823, aux.loss_ce: 0.1659, aux.acc_seg: 67.5243, loss: 0.5558 2023-01-29 19:47:04,131 - mmseg - INFO - Iter [18200/160000] lr: 5.318e-05, eta: 16:34:37, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3965, decode.acc_seg: 67.8815, aux.loss_ce: 0.1678, aux.acc_seg: 67.4397, loss: 0.5642 2023-01-29 19:47:23,862 - mmseg - INFO - Iter [18250/160000] lr: 5.316e-05, eta: 16:34:05, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3935, decode.acc_seg: 68.0061, aux.loss_ce: 0.1654, aux.acc_seg: 67.6984, loss: 0.5589 2023-01-29 19:47:43,872 - mmseg - INFO - Iter [18300/160000] lr: 5.314e-05, eta: 16:33:36, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3982, decode.acc_seg: 69.2195, aux.loss_ce: 0.1687, aux.acc_seg: 68.7273, loss: 0.5670 2023-01-29 19:48:03,946 - mmseg - INFO - Iter [18350/160000] lr: 5.312e-05, eta: 16:33:08, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4027, decode.acc_seg: 68.6415, aux.loss_ce: 0.1701, aux.acc_seg: 68.1793, loss: 0.5728 2023-01-29 19:48:23,524 - mmseg - INFO - Iter [18400/160000] lr: 5.310e-05, eta: 16:32:36, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3706, decode.acc_seg: 68.1969, aux.loss_ce: 0.1589, aux.acc_seg: 67.6304, loss: 0.5295 2023-01-29 19:48:43,559 - mmseg - INFO - Iter [18450/160000] lr: 5.308e-05, eta: 16:32:07, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3850, decode.acc_seg: 68.1468, aux.loss_ce: 0.1626, aux.acc_seg: 67.5967, loss: 0.5476 2023-01-29 19:49:03,755 - mmseg - INFO - Iter [18500/160000] lr: 5.306e-05, eta: 16:31:40, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4027, decode.acc_seg: 67.1989, aux.loss_ce: 0.1725, aux.acc_seg: 66.6951, loss: 0.5752 2023-01-29 19:49:23,848 - mmseg - INFO - Iter [18550/160000] lr: 5.304e-05, eta: 16:31:12, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4144, decode.acc_seg: 69.7922, aux.loss_ce: 0.1764, aux.acc_seg: 69.4517, loss: 0.5907 2023-01-29 19:49:43,824 - mmseg - INFO - Iter [18600/160000] lr: 5.303e-05, eta: 16:30:43, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4118, decode.acc_seg: 68.4726, aux.loss_ce: 0.1741, aux.acc_seg: 67.9391, loss: 0.5859 2023-01-29 19:50:03,606 - mmseg - INFO - Iter [18650/160000] lr: 5.301e-05, eta: 16:30:12, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3903, decode.acc_seg: 67.2719, aux.loss_ce: 0.1672, aux.acc_seg: 66.8256, loss: 0.5575 2023-01-29 19:50:23,412 - mmseg - INFO - Iter [18700/160000] lr: 5.299e-05, eta: 16:29:42, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3904, decode.acc_seg: 67.5145, aux.loss_ce: 0.1663, aux.acc_seg: 67.1873, loss: 0.5567 2023-01-29 19:50:43,162 - mmseg - INFO - Iter [18750/160000] lr: 5.297e-05, eta: 16:29:12, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3683, decode.acc_seg: 69.0774, aux.loss_ce: 0.1579, aux.acc_seg: 68.5923, loss: 0.5262 2023-01-29 19:51:02,847 - mmseg - INFO - Iter [18800/160000] lr: 5.295e-05, eta: 16:28:41, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4092, decode.acc_seg: 69.2200, aux.loss_ce: 0.1763, aux.acc_seg: 68.7146, loss: 0.5856 2023-01-29 19:51:22,449 - mmseg - INFO - Iter [18850/160000] lr: 5.293e-05, eta: 16:28:09, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4157, decode.acc_seg: 67.9862, aux.loss_ce: 0.1753, aux.acc_seg: 67.7111, loss: 0.5909 2023-01-29 19:51:42,078 - mmseg - INFO - Iter [18900/160000] lr: 5.291e-05, eta: 16:27:38, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4087, decode.acc_seg: 67.4982, aux.loss_ce: 0.1739, aux.acc_seg: 67.2487, loss: 0.5826 2023-01-29 19:52:04,875 - mmseg - INFO - Iter [18950/160000] lr: 5.289e-05, eta: 16:27:30, time: 0.456, data_time: 0.054, memory: 12319, decode.loss_ce: 0.4015, decode.acc_seg: 67.3181, aux.loss_ce: 0.1695, aux.acc_seg: 67.0163, loss: 0.5711 2023-01-29 19:52:24,807 - mmseg - INFO - Saving checkpoint at 19000 iterations 2023-01-29 19:52:36,078 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 19:52:36,086 - mmseg - INFO - Iter [19000/160000] lr: 5.288e-05, eta: 16:28:23, time: 0.619, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3933, decode.acc_seg: 69.3107, aux.loss_ce: 0.1677, aux.acc_seg: 68.9887, loss: 0.5610 2023-01-29 19:52:56,124 - mmseg - INFO - Iter [19050/160000] lr: 5.286e-05, eta: 16:27:57, time: 0.406, data_time: 0.009, memory: 12319, decode.loss_ce: 0.3931, decode.acc_seg: 67.9401, aux.loss_ce: 0.1687, aux.acc_seg: 67.6790, loss: 0.5619 2023-01-29 19:53:15,922 - mmseg - INFO - Iter [19100/160000] lr: 5.284e-05, eta: 16:27:27, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3962, decode.acc_seg: 68.7459, aux.loss_ce: 0.1703, aux.acc_seg: 68.3062, loss: 0.5666 2023-01-29 19:53:35,665 - mmseg - INFO - Iter [19150/160000] lr: 5.282e-05, eta: 16:26:56, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3944, decode.acc_seg: 67.9233, aux.loss_ce: 0.1681, aux.acc_seg: 67.5203, loss: 0.5625 2023-01-29 19:53:55,419 - mmseg - INFO - Iter [19200/160000] lr: 5.280e-05, eta: 16:26:26, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3807, decode.acc_seg: 69.8527, aux.loss_ce: 0.1638, aux.acc_seg: 69.2954, loss: 0.5445 2023-01-29 19:54:15,306 - mmseg - INFO - Iter [19250/160000] lr: 5.278e-05, eta: 16:25:56, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3836, decode.acc_seg: 68.3955, aux.loss_ce: 0.1655, aux.acc_seg: 67.8072, loss: 0.5491 2023-01-29 19:54:35,116 - mmseg - INFO - Iter [19300/160000] lr: 5.276e-05, eta: 16:25:27, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4106, decode.acc_seg: 68.5667, aux.loss_ce: 0.1760, aux.acc_seg: 68.0074, loss: 0.5866 2023-01-29 19:54:55,117 - mmseg - INFO - Iter [19350/160000] lr: 5.274e-05, eta: 16:24:58, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3709, decode.acc_seg: 69.1934, aux.loss_ce: 0.1590, aux.acc_seg: 68.7756, loss: 0.5299 2023-01-29 19:55:15,436 - mmseg - INFO - Iter [19400/160000] lr: 5.273e-05, eta: 16:24:32, time: 0.407, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3753, decode.acc_seg: 70.0949, aux.loss_ce: 0.1613, aux.acc_seg: 69.5072, loss: 0.5367 2023-01-29 19:55:35,460 - mmseg - INFO - Iter [19450/160000] lr: 5.271e-05, eta: 16:24:04, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3882, decode.acc_seg: 68.1411, aux.loss_ce: 0.1661, aux.acc_seg: 67.5340, loss: 0.5542 2023-01-29 19:55:55,432 - mmseg - INFO - Iter [19500/160000] lr: 5.269e-05, eta: 16:23:36, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4147, decode.acc_seg: 69.1097, aux.loss_ce: 0.1749, aux.acc_seg: 68.8022, loss: 0.5896 2023-01-29 19:56:15,654 - mmseg - INFO - Iter [19550/160000] lr: 5.267e-05, eta: 16:23:09, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4262, decode.acc_seg: 67.9780, aux.loss_ce: 0.1810, aux.acc_seg: 67.5065, loss: 0.6072 2023-01-29 19:56:35,232 - mmseg - INFO - Iter [19600/160000] lr: 5.265e-05, eta: 16:22:38, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3877, decode.acc_seg: 67.0780, aux.loss_ce: 0.1649, aux.acc_seg: 66.7403, loss: 0.5526 2023-01-29 19:56:54,956 - mmseg - INFO - Iter [19650/160000] lr: 5.263e-05, eta: 16:22:08, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3656, decode.acc_seg: 68.2221, aux.loss_ce: 0.1563, aux.acc_seg: 67.7496, loss: 0.5219 2023-01-29 19:57:14,760 - mmseg - INFO - Iter [19700/160000] lr: 5.261e-05, eta: 16:21:38, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4000, decode.acc_seg: 68.0876, aux.loss_ce: 0.1678, aux.acc_seg: 67.7575, loss: 0.5678 2023-01-29 19:57:34,762 - mmseg - INFO - Iter [19750/160000] lr: 5.259e-05, eta: 16:21:10, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3846, decode.acc_seg: 68.2927, aux.loss_ce: 0.1625, aux.acc_seg: 67.8674, loss: 0.5471 2023-01-29 19:57:54,828 - mmseg - INFO - Iter [19800/160000] lr: 5.258e-05, eta: 16:20:43, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4290, decode.acc_seg: 66.8399, aux.loss_ce: 0.1784, aux.acc_seg: 66.7632, loss: 0.6074 2023-01-29 19:58:14,754 - mmseg - INFO - Iter [19850/160000] lr: 5.256e-05, eta: 16:20:14, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3592, decode.acc_seg: 68.2502, aux.loss_ce: 0.1538, aux.acc_seg: 67.8218, loss: 0.5130 2023-01-29 19:58:35,214 - mmseg - INFO - Iter [19900/160000] lr: 5.254e-05, eta: 16:19:50, time: 0.409, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4011, decode.acc_seg: 67.4059, aux.loss_ce: 0.1717, aux.acc_seg: 66.8445, loss: 0.5727 2023-01-29 19:58:55,110 - mmseg - INFO - Iter [19950/160000] lr: 5.252e-05, eta: 16:19:20, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3957, decode.acc_seg: 68.9717, aux.loss_ce: 0.1689, aux.acc_seg: 68.5259, loss: 0.5646 2023-01-29 19:59:14,940 - mmseg - INFO - Saving checkpoint at 20000 iterations 2023-01-29 19:59:25,152 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 19:59:25,152 - mmseg - INFO - Iter [20000/160000] lr: 5.250e-05, eta: 16:20:03, time: 0.603, data_time: 0.006, memory: 12319, decode.loss_ce: 0.4038, decode.acc_seg: 68.3726, aux.loss_ce: 0.1696, aux.acc_seg: 68.0445, loss: 0.5734 2023-01-29 19:59:45,788 - mmseg - INFO - Iter [20050/160000] lr: 5.248e-05, eta: 16:19:40, time: 0.413, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3828, decode.acc_seg: 68.9431, aux.loss_ce: 0.1609, aux.acc_seg: 68.6008, loss: 0.5437 2023-01-29 20:00:05,535 - mmseg - INFO - Iter [20100/160000] lr: 5.246e-05, eta: 16:19:10, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3691, decode.acc_seg: 69.3849, aux.loss_ce: 0.1585, aux.acc_seg: 68.8081, loss: 0.5275 2023-01-29 20:00:25,022 - mmseg - INFO - Iter [20150/160000] lr: 5.244e-05, eta: 16:18:39, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4061, decode.acc_seg: 68.0752, aux.loss_ce: 0.1708, aux.acc_seg: 67.8205, loss: 0.5769 2023-01-29 20:00:44,529 - mmseg - INFO - Iter [20200/160000] lr: 5.243e-05, eta: 16:18:08, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4036, decode.acc_seg: 68.1064, aux.loss_ce: 0.1738, aux.acc_seg: 67.6035, loss: 0.5775 2023-01-29 20:01:07,432 - mmseg - INFO - Iter [20250/160000] lr: 5.241e-05, eta: 16:18:00, time: 0.457, data_time: 0.052, memory: 12319, decode.loss_ce: 0.3883, decode.acc_seg: 67.3989, aux.loss_ce: 0.1628, aux.acc_seg: 67.1407, loss: 0.5511 2023-01-29 20:01:27,180 - mmseg - INFO - Iter [20300/160000] lr: 5.239e-05, eta: 16:17:30, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3977, decode.acc_seg: 67.2973, aux.loss_ce: 0.1706, aux.acc_seg: 66.7978, loss: 0.5683 2023-01-29 20:01:47,273 - mmseg - INFO - Iter [20350/160000] lr: 5.237e-05, eta: 16:17:03, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3717, decode.acc_seg: 69.2747, aux.loss_ce: 0.1599, aux.acc_seg: 68.8635, loss: 0.5315 2023-01-29 20:02:07,609 - mmseg - INFO - Iter [20400/160000] lr: 5.235e-05, eta: 16:16:38, time: 0.407, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3608, decode.acc_seg: 68.7788, aux.loss_ce: 0.1538, aux.acc_seg: 68.3969, loss: 0.5146 2023-01-29 20:02:27,886 - mmseg - INFO - Iter [20450/160000] lr: 5.233e-05, eta: 16:16:12, time: 0.406, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3697, decode.acc_seg: 68.6539, aux.loss_ce: 0.1587, aux.acc_seg: 68.3650, loss: 0.5284 2023-01-29 20:02:47,921 - mmseg - INFO - Iter [20500/160000] lr: 5.231e-05, eta: 16:15:44, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3857, decode.acc_seg: 69.9115, aux.loss_ce: 0.1644, aux.acc_seg: 69.4748, loss: 0.5500 2023-01-29 20:03:08,103 - mmseg - INFO - Iter [20550/160000] lr: 5.229e-05, eta: 16:15:18, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4034, decode.acc_seg: 66.9189, aux.loss_ce: 0.1718, aux.acc_seg: 66.2723, loss: 0.5752 2023-01-29 20:03:27,859 - mmseg - INFO - Iter [20600/160000] lr: 5.228e-05, eta: 16:14:49, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3590, decode.acc_seg: 70.4302, aux.loss_ce: 0.1532, aux.acc_seg: 70.1062, loss: 0.5122 2023-01-29 20:03:47,739 - mmseg - INFO - Iter [20650/160000] lr: 5.226e-05, eta: 16:14:20, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3765, decode.acc_seg: 69.3692, aux.loss_ce: 0.1602, aux.acc_seg: 69.1411, loss: 0.5367 2023-01-29 20:04:07,652 - mmseg - INFO - Iter [20700/160000] lr: 5.224e-05, eta: 16:13:52, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3867, decode.acc_seg: 69.3037, aux.loss_ce: 0.1663, aux.acc_seg: 68.8117, loss: 0.5530 2023-01-29 20:04:27,598 - mmseg - INFO - Iter [20750/160000] lr: 5.222e-05, eta: 16:13:24, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3851, decode.acc_seg: 70.1219, aux.loss_ce: 0.1625, aux.acc_seg: 69.7089, loss: 0.5476 2023-01-29 20:04:47,183 - mmseg - INFO - Iter [20800/160000] lr: 5.220e-05, eta: 16:12:54, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4008, decode.acc_seg: 69.6718, aux.loss_ce: 0.1672, aux.acc_seg: 69.3495, loss: 0.5680 2023-01-29 20:05:06,918 - mmseg - INFO - Iter [20850/160000] lr: 5.218e-05, eta: 16:12:25, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4073, decode.acc_seg: 69.3246, aux.loss_ce: 0.1756, aux.acc_seg: 68.9101, loss: 0.5829 2023-01-29 20:05:26,687 - mmseg - INFO - Iter [20900/160000] lr: 5.216e-05, eta: 16:11:56, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3953, decode.acc_seg: 68.5655, aux.loss_ce: 0.1697, aux.acc_seg: 68.0381, loss: 0.5650 2023-01-29 20:05:46,524 - mmseg - INFO - Iter [20950/160000] lr: 5.214e-05, eta: 16:11:27, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3661, decode.acc_seg: 69.4533, aux.loss_ce: 0.1583, aux.acc_seg: 68.8617, loss: 0.5244 2023-01-29 20:06:06,240 - mmseg - INFO - Saving checkpoint at 21000 iterations 2023-01-29 20:06:17,135 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 20:06:17,145 - mmseg - INFO - Iter [21000/160000] lr: 5.213e-05, eta: 16:12:10, time: 0.611, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3953, decode.acc_seg: 68.7778, aux.loss_ce: 0.1689, aux.acc_seg: 68.4275, loss: 0.5642 2023-01-29 20:06:37,750 - mmseg - INFO - Iter [21050/160000] lr: 5.211e-05, eta: 16:11:47, time: 0.414, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4002, decode.acc_seg: 68.7588, aux.loss_ce: 0.1687, aux.acc_seg: 68.4425, loss: 0.5689 2023-01-29 20:06:57,922 - mmseg - INFO - Iter [21100/160000] lr: 5.209e-05, eta: 16:11:20, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4095, decode.acc_seg: 68.9504, aux.loss_ce: 0.1736, aux.acc_seg: 68.5451, loss: 0.5831 2023-01-29 20:07:17,726 - mmseg - INFO - Iter [21150/160000] lr: 5.207e-05, eta: 16:10:52, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3980, decode.acc_seg: 68.4615, aux.loss_ce: 0.1712, aux.acc_seg: 67.7660, loss: 0.5691 2023-01-29 20:07:37,658 - mmseg - INFO - Iter [21200/160000] lr: 5.205e-05, eta: 16:10:24, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.4048, decode.acc_seg: 68.1155, aux.loss_ce: 0.1716, aux.acc_seg: 67.8817, loss: 0.5764 2023-01-29 20:07:57,393 - mmseg - INFO - Iter [21250/160000] lr: 5.203e-05, eta: 16:09:55, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4046, decode.acc_seg: 67.8485, aux.loss_ce: 0.1711, aux.acc_seg: 67.5157, loss: 0.5757 2023-01-29 20:08:17,283 - mmseg - INFO - Iter [21300/160000] lr: 5.201e-05, eta: 16:09:27, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3969, decode.acc_seg: 68.7619, aux.loss_ce: 0.1681, aux.acc_seg: 68.3402, loss: 0.5649 2023-01-29 20:08:37,384 - mmseg - INFO - Iter [21350/160000] lr: 5.199e-05, eta: 16:09:00, time: 0.402, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3535, decode.acc_seg: 68.9836, aux.loss_ce: 0.1523, aux.acc_seg: 68.3650, loss: 0.5059 2023-01-29 20:08:57,218 - mmseg - INFO - Iter [21400/160000] lr: 5.198e-05, eta: 16:08:32, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3541, decode.acc_seg: 67.5550, aux.loss_ce: 0.1514, aux.acc_seg: 67.1817, loss: 0.5055 2023-01-29 20:09:16,846 - mmseg - INFO - Iter [21450/160000] lr: 5.196e-05, eta: 16:08:02, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3943, decode.acc_seg: 68.5567, aux.loss_ce: 0.1697, aux.acc_seg: 67.9920, loss: 0.5639 2023-01-29 20:09:38,947 - mmseg - INFO - Iter [21500/160000] lr: 5.194e-05, eta: 16:07:49, time: 0.442, data_time: 0.051, memory: 12319, decode.loss_ce: 0.3817, decode.acc_seg: 68.3345, aux.loss_ce: 0.1624, aux.acc_seg: 68.0696, loss: 0.5442 2023-01-29 20:09:58,756 - mmseg - INFO - Iter [21550/160000] lr: 5.192e-05, eta: 16:07:20, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3780, decode.acc_seg: 69.7519, aux.loss_ce: 0.1635, aux.acc_seg: 69.3594, loss: 0.5415 2023-01-29 20:10:18,767 - mmseg - INFO - Iter [21600/160000] lr: 5.190e-05, eta: 16:06:53, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3616, decode.acc_seg: 67.7527, aux.loss_ce: 0.1542, aux.acc_seg: 67.4939, loss: 0.5159 2023-01-29 20:10:38,717 - mmseg - INFO - Iter [21650/160000] lr: 5.188e-05, eta: 16:06:26, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3547, decode.acc_seg: 69.8318, aux.loss_ce: 0.1530, aux.acc_seg: 69.2771, loss: 0.5077 2023-01-29 20:10:58,587 - mmseg - INFO - Iter [21700/160000] lr: 5.186e-05, eta: 16:05:58, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3843, decode.acc_seg: 68.3507, aux.loss_ce: 0.1640, aux.acc_seg: 67.7571, loss: 0.5483 2023-01-29 20:11:18,698 - mmseg - INFO - Iter [21750/160000] lr: 5.184e-05, eta: 16:05:32, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3552, decode.acc_seg: 71.1511, aux.loss_ce: 0.1551, aux.acc_seg: 70.6287, loss: 0.5103 2023-01-29 20:11:38,595 - mmseg - INFO - Iter [21800/160000] lr: 5.183e-05, eta: 16:05:04, time: 0.398, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3691, decode.acc_seg: 67.7355, aux.loss_ce: 0.1578, aux.acc_seg: 67.2203, loss: 0.5269 2023-01-29 20:11:58,252 - mmseg - INFO - Iter [21850/160000] lr: 5.181e-05, eta: 16:04:35, time: 0.393, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3745, decode.acc_seg: 68.6376, aux.loss_ce: 0.1601, aux.acc_seg: 68.1593, loss: 0.5346 2023-01-29 20:12:18,079 - mmseg - INFO - Iter [21900/160000] lr: 5.179e-05, eta: 16:04:07, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3517, decode.acc_seg: 67.9148, aux.loss_ce: 0.1506, aux.acc_seg: 67.3985, loss: 0.5023 2023-01-29 20:12:37,757 - mmseg - INFO - Iter [21950/160000] lr: 5.177e-05, eta: 16:03:38, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3393, decode.acc_seg: 69.1848, aux.loss_ce: 0.1460, aux.acc_seg: 68.4523, loss: 0.4853 2023-01-29 20:12:57,484 - mmseg - INFO - Saving checkpoint at 22000 iterations 2023-01-29 20:13:08,040 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 20:13:08,049 - mmseg - INFO - Iter [22000/160000] lr: 5.175e-05, eta: 16:04:15, time: 0.602, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3640, decode.acc_seg: 68.9365, aux.loss_ce: 0.1552, aux.acc_seg: 68.5398, loss: 0.5192 2023-01-29 20:13:28,176 - mmseg - INFO - Iter [22050/160000] lr: 5.173e-05, eta: 16:03:49, time: 0.406, data_time: 0.008, memory: 12319, decode.loss_ce: 0.3770, decode.acc_seg: 69.0396, aux.loss_ce: 0.1611, aux.acc_seg: 68.5365, loss: 0.5380 2023-01-29 20:13:48,063 - mmseg - INFO - Iter [22100/160000] lr: 5.171e-05, eta: 16:03:22, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3583, decode.acc_seg: 67.6597, aux.loss_ce: 0.1547, aux.acc_seg: 67.0603, loss: 0.5130 2023-01-29 20:14:07,806 - mmseg - INFO - Iter [22150/160000] lr: 5.169e-05, eta: 16:02:53, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3621, decode.acc_seg: 69.4175, aux.loss_ce: 0.1558, aux.acc_seg: 68.9360, loss: 0.5179 2023-01-29 20:14:27,834 - mmseg - INFO - Iter [22200/160000] lr: 5.168e-05, eta: 16:02:27, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3747, decode.acc_seg: 68.9721, aux.loss_ce: 0.1600, aux.acc_seg: 68.5673, loss: 0.5347 2023-01-29 20:14:47,688 - mmseg - INFO - Iter [22250/160000] lr: 5.166e-05, eta: 16:01:59, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3844, decode.acc_seg: 69.2977, aux.loss_ce: 0.1632, aux.acc_seg: 68.9766, loss: 0.5476 2023-01-29 20:15:07,547 - mmseg - INFO - Iter [22300/160000] lr: 5.164e-05, eta: 16:01:31, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3687, decode.acc_seg: 68.8933, aux.loss_ce: 0.1583, aux.acc_seg: 68.3335, loss: 0.5270 2023-01-29 20:15:27,194 - mmseg - INFO - Iter [22350/160000] lr: 5.162e-05, eta: 16:01:02, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.4078, decode.acc_seg: 68.9350, aux.loss_ce: 0.1738, aux.acc_seg: 68.6852, loss: 0.5817 2023-01-29 20:15:47,446 - mmseg - INFO - Iter [22400/160000] lr: 5.160e-05, eta: 16:00:37, time: 0.405, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3600, decode.acc_seg: 70.2684, aux.loss_ce: 0.1525, aux.acc_seg: 69.8243, loss: 0.5125 2023-01-29 20:16:07,454 - mmseg - INFO - Iter [22450/160000] lr: 5.158e-05, eta: 16:00:10, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3730, decode.acc_seg: 70.3669, aux.loss_ce: 0.1558, aux.acc_seg: 70.2169, loss: 0.5288 2023-01-29 20:16:27,188 - mmseg - INFO - Iter [22500/160000] lr: 5.156e-05, eta: 15:59:42, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3563, decode.acc_seg: 69.3611, aux.loss_ce: 0.1531, aux.acc_seg: 68.8935, loss: 0.5094 2023-01-29 20:16:46,836 - mmseg - INFO - Iter [22550/160000] lr: 5.154e-05, eta: 15:59:13, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3609, decode.acc_seg: 69.5853, aux.loss_ce: 0.1540, aux.acc_seg: 69.1579, loss: 0.5150 2023-01-29 20:17:06,551 - mmseg - INFO - Iter [22600/160000] lr: 5.153e-05, eta: 15:58:45, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3897, decode.acc_seg: 68.9890, aux.loss_ce: 0.1649, aux.acc_seg: 68.6928, loss: 0.5546 2023-01-29 20:17:26,330 - mmseg - INFO - Iter [22650/160000] lr: 5.151e-05, eta: 15:58:17, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3756, decode.acc_seg: 69.7719, aux.loss_ce: 0.1618, aux.acc_seg: 69.3240, loss: 0.5373 2023-01-29 20:17:45,983 - mmseg - INFO - Iter [22700/160000] lr: 5.149e-05, eta: 15:57:48, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3903, decode.acc_seg: 68.8344, aux.loss_ce: 0.1670, aux.acc_seg: 68.3767, loss: 0.5572 2023-01-29 20:18:08,078 - mmseg - INFO - Iter [22750/160000] lr: 5.147e-05, eta: 15:57:34, time: 0.442, data_time: 0.055, memory: 12319, decode.loss_ce: 0.3953, decode.acc_seg: 69.6499, aux.loss_ce: 0.1660, aux.acc_seg: 69.1984, loss: 0.5613 2023-01-29 20:18:27,691 - mmseg - INFO - Iter [22800/160000] lr: 5.145e-05, eta: 15:57:06, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3663, decode.acc_seg: 69.6004, aux.loss_ce: 0.1553, aux.acc_seg: 69.0839, loss: 0.5216 2023-01-29 20:18:47,276 - mmseg - INFO - Iter [22850/160000] lr: 5.143e-05, eta: 15:56:37, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3545, decode.acc_seg: 69.6017, aux.loss_ce: 0.1519, aux.acc_seg: 69.0659, loss: 0.5064 2023-01-29 20:19:07,184 - mmseg - INFO - Iter [22900/160000] lr: 5.141e-05, eta: 15:56:10, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3811, decode.acc_seg: 69.6274, aux.loss_ce: 0.1643, aux.acc_seg: 69.2204, loss: 0.5454 2023-01-29 20:19:27,113 - mmseg - INFO - Iter [22950/160000] lr: 5.139e-05, eta: 15:55:43, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3430, decode.acc_seg: 70.6937, aux.loss_ce: 0.1478, aux.acc_seg: 70.2794, loss: 0.4908 2023-01-29 20:19:46,902 - mmseg - INFO - Saving checkpoint at 23000 iterations 2023-01-29 20:19:57,650 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 20:19:57,650 - mmseg - INFO - Iter [23000/160000] lr: 5.138e-05, eta: 15:56:19, time: 0.610, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3775, decode.acc_seg: 68.6095, aux.loss_ce: 0.1631, aux.acc_seg: 68.1267, loss: 0.5406 2023-01-29 20:20:17,825 - mmseg - INFO - Iter [23050/160000] lr: 5.136e-05, eta: 15:55:54, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3494, decode.acc_seg: 70.2292, aux.loss_ce: 0.1503, aux.acc_seg: 69.6611, loss: 0.4997 2023-01-29 20:20:37,778 - mmseg - INFO - Iter [23100/160000] lr: 5.134e-05, eta: 15:55:27, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3465, decode.acc_seg: 69.4318, aux.loss_ce: 0.1463, aux.acc_seg: 69.0412, loss: 0.4928 2023-01-29 20:20:57,752 - mmseg - INFO - Iter [23150/160000] lr: 5.132e-05, eta: 15:55:00, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3412, decode.acc_seg: 69.3724, aux.loss_ce: 0.1452, aux.acc_seg: 68.9940, loss: 0.4864 2023-01-29 20:21:17,643 - mmseg - INFO - Iter [23200/160000] lr: 5.130e-05, eta: 15:54:33, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3459, decode.acc_seg: 67.9281, aux.loss_ce: 0.1460, aux.acc_seg: 67.5421, loss: 0.4919 2023-01-29 20:21:37,494 - mmseg - INFO - Iter [23250/160000] lr: 5.128e-05, eta: 15:54:06, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3648, decode.acc_seg: 69.5516, aux.loss_ce: 0.1547, aux.acc_seg: 69.2757, loss: 0.5194 2023-01-29 20:21:57,169 - mmseg - INFO - Iter [23300/160000] lr: 5.126e-05, eta: 15:53:37, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3638, decode.acc_seg: 70.0035, aux.loss_ce: 0.1551, aux.acc_seg: 69.6163, loss: 0.5189 2023-01-29 20:22:16,898 - mmseg - INFO - Iter [23350/160000] lr: 5.124e-05, eta: 15:53:09, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3549, decode.acc_seg: 67.7919, aux.loss_ce: 0.1513, aux.acc_seg: 67.3899, loss: 0.5062 2023-01-29 20:22:36,591 - mmseg - INFO - Iter [23400/160000] lr: 5.123e-05, eta: 15:52:41, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3658, decode.acc_seg: 70.3850, aux.loss_ce: 0.1582, aux.acc_seg: 69.8187, loss: 0.5240 2023-01-29 20:22:56,806 - mmseg - INFO - Iter [23450/160000] lr: 5.121e-05, eta: 15:52:16, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3806, decode.acc_seg: 68.4942, aux.loss_ce: 0.1633, aux.acc_seg: 68.0969, loss: 0.5439 2023-01-29 20:23:16,560 - mmseg - INFO - Iter [23500/160000] lr: 5.119e-05, eta: 15:51:48, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3754, decode.acc_seg: 69.2524, aux.loss_ce: 0.1604, aux.acc_seg: 68.5570, loss: 0.5358 2023-01-29 20:23:36,215 - mmseg - INFO - Iter [23550/160000] lr: 5.117e-05, eta: 15:51:20, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3651, decode.acc_seg: 69.4283, aux.loss_ce: 0.1570, aux.acc_seg: 68.9826, loss: 0.5221 2023-01-29 20:23:55,954 - mmseg - INFO - Iter [23600/160000] lr: 5.115e-05, eta: 15:50:53, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3715, decode.acc_seg: 69.6570, aux.loss_ce: 0.1599, aux.acc_seg: 68.9926, loss: 0.5314 2023-01-29 20:24:16,015 - mmseg - INFO - Iter [23650/160000] lr: 5.113e-05, eta: 15:50:27, time: 0.401, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3683, decode.acc_seg: 69.7169, aux.loss_ce: 0.1587, aux.acc_seg: 69.2780, loss: 0.5271 2023-01-29 20:24:36,095 - mmseg - INFO - Iter [23700/160000] lr: 5.111e-05, eta: 15:50:01, time: 0.402, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3923, decode.acc_seg: 67.2890, aux.loss_ce: 0.1651, aux.acc_seg: 66.9034, loss: 0.5574 2023-01-29 20:24:56,386 - mmseg - INFO - Iter [23750/160000] lr: 5.109e-05, eta: 15:49:37, time: 0.406, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3550, decode.acc_seg: 67.9345, aux.loss_ce: 0.1501, aux.acc_seg: 67.7369, loss: 0.5051 2023-01-29 20:25:16,505 - mmseg - INFO - Iter [23800/160000] lr: 5.108e-05, eta: 15:49:11, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3560, decode.acc_seg: 68.9450, aux.loss_ce: 0.1515, aux.acc_seg: 68.5844, loss: 0.5075 2023-01-29 20:25:36,681 - mmseg - INFO - Iter [23850/160000] lr: 5.106e-05, eta: 15:48:46, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3522, decode.acc_seg: 69.8643, aux.loss_ce: 0.1505, aux.acc_seg: 69.5330, loss: 0.5027 2023-01-29 20:25:56,717 - mmseg - INFO - Iter [23900/160000] lr: 5.104e-05, eta: 15:48:20, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3727, decode.acc_seg: 70.5995, aux.loss_ce: 0.1591, aux.acc_seg: 70.1076, loss: 0.5317 2023-01-29 20:26:16,839 - mmseg - INFO - Iter [23950/160000] lr: 5.102e-05, eta: 15:47:55, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3567, decode.acc_seg: 68.6847, aux.loss_ce: 0.1523, aux.acc_seg: 68.2959, loss: 0.5090 2023-01-29 20:26:39,980 - mmseg - INFO - Saving checkpoint at 24000 iterations 2023-01-29 20:26:49,981 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 20:26:49,981 - mmseg - INFO - Iter [24000/160000] lr: 5.100e-05, eta: 15:48:43, time: 0.663, data_time: 0.053, memory: 12319, decode.loss_ce: 0.3577, decode.acc_seg: 70.2413, aux.loss_ce: 0.1529, aux.acc_seg: 69.8151, loss: 0.5106 2023-01-29 20:27:10,181 - mmseg - INFO - Iter [24050/160000] lr: 5.098e-05, eta: 15:48:18, time: 0.404, data_time: 0.006, memory: 12319, decode.loss_ce: 0.3189, decode.acc_seg: 69.5229, aux.loss_ce: 0.1386, aux.acc_seg: 68.9798, loss: 0.4575 2023-01-29 20:27:30,225 - mmseg - INFO - Iter [24100/160000] lr: 5.096e-05, eta: 15:47:52, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3374, decode.acc_seg: 68.4928, aux.loss_ce: 0.1434, aux.acc_seg: 68.2308, loss: 0.4809 2023-01-29 20:27:50,629 - mmseg - INFO - Iter [24150/160000] lr: 5.094e-05, eta: 15:47:29, time: 0.408, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3465, decode.acc_seg: 69.0604, aux.loss_ce: 0.1489, aux.acc_seg: 68.5975, loss: 0.4954 2023-01-29 20:28:11,107 - mmseg - INFO - Iter [24200/160000] lr: 5.093e-05, eta: 15:47:05, time: 0.410, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3812, decode.acc_seg: 69.4016, aux.loss_ce: 0.1653, aux.acc_seg: 68.9385, loss: 0.5466 2023-01-29 20:28:31,046 - mmseg - INFO - Iter [24250/160000] lr: 5.091e-05, eta: 15:46:39, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3570, decode.acc_seg: 70.5981, aux.loss_ce: 0.1514, aux.acc_seg: 70.2364, loss: 0.5084 2023-01-29 20:28:50,981 - mmseg - INFO - Iter [24300/160000] lr: 5.089e-05, eta: 15:46:12, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3492, decode.acc_seg: 70.3491, aux.loss_ce: 0.1518, aux.acc_seg: 69.6512, loss: 0.5010 2023-01-29 20:29:10,813 - mmseg - INFO - Iter [24350/160000] lr: 5.087e-05, eta: 15:45:45, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3398, decode.acc_seg: 69.0631, aux.loss_ce: 0.1467, aux.acc_seg: 68.4627, loss: 0.4865 2023-01-29 20:29:30,791 - mmseg - INFO - Iter [24400/160000] lr: 5.085e-05, eta: 15:45:19, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3681, decode.acc_seg: 71.1789, aux.loss_ce: 0.1554, aux.acc_seg: 70.7378, loss: 0.5235 2023-01-29 20:29:50,458 - mmseg - INFO - Iter [24450/160000] lr: 5.083e-05, eta: 15:44:51, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3392, decode.acc_seg: 68.8865, aux.loss_ce: 0.1456, aux.acc_seg: 68.4360, loss: 0.4848 2023-01-29 20:30:10,216 - mmseg - INFO - Iter [24500/160000] lr: 5.081e-05, eta: 15:44:24, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3411, decode.acc_seg: 69.8467, aux.loss_ce: 0.1468, aux.acc_seg: 69.3006, loss: 0.4879 2023-01-29 20:30:30,128 - mmseg - INFO - Iter [24550/160000] lr: 5.079e-05, eta: 15:43:57, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3564, decode.acc_seg: 69.1884, aux.loss_ce: 0.1519, aux.acc_seg: 68.8366, loss: 0.5083 2023-01-29 20:30:49,849 - mmseg - INFO - Iter [24600/160000] lr: 5.078e-05, eta: 15:43:30, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3585, decode.acc_seg: 68.6670, aux.loss_ce: 0.1531, aux.acc_seg: 68.2642, loss: 0.5116 2023-01-29 20:31:09,854 - mmseg - INFO - Iter [24650/160000] lr: 5.076e-05, eta: 15:43:04, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3570, decode.acc_seg: 69.2560, aux.loss_ce: 0.1522, aux.acc_seg: 68.8886, loss: 0.5093 2023-01-29 20:31:29,468 - mmseg - INFO - Iter [24700/160000] lr: 5.074e-05, eta: 15:42:36, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3806, decode.acc_seg: 68.6554, aux.loss_ce: 0.1605, aux.acc_seg: 68.2739, loss: 0.5411 2023-01-29 20:31:49,096 - mmseg - INFO - Iter [24750/160000] lr: 5.072e-05, eta: 15:42:09, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3467, decode.acc_seg: 69.6252, aux.loss_ce: 0.1497, aux.acc_seg: 69.1354, loss: 0.4965 2023-01-29 20:32:09,067 - mmseg - INFO - Iter [24800/160000] lr: 5.070e-05, eta: 15:41:43, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3725, decode.acc_seg: 69.3766, aux.loss_ce: 0.1600, aux.acc_seg: 68.7788, loss: 0.5325 2023-01-29 20:32:30,663 - mmseg - INFO - Iter [24850/160000] lr: 5.068e-05, eta: 15:41:15, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3666, decode.acc_seg: 67.3326, aux.loss_ce: 0.1532, aux.acc_seg: 66.9743, loss: 0.5198 2023-01-29 20:32:50,723 - mmseg - INFO - Iter [24900/160000] lr: 5.066e-05, eta: 15:41:00, time: 0.438, data_time: 0.041, memory: 12319, decode.loss_ce: 0.3559, decode.acc_seg: 69.5929, aux.loss_ce: 0.1537, aux.acc_seg: 69.0441, loss: 0.5095 2023-01-29 20:33:10,422 - mmseg - INFO - Iter [24950/160000] lr: 5.064e-05, eta: 15:40:33, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3589, decode.acc_seg: 69.5629, aux.loss_ce: 0.1532, aux.acc_seg: 69.2055, loss: 0.5122 2023-01-29 20:33:30,026 - mmseg - INFO - Saving checkpoint at 25000 iterations 2023-01-29 20:33:40,994 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 20:33:41,003 - mmseg - INFO - Iter [25000/160000] lr: 5.063e-05, eta: 15:41:04, time: 0.610, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3681, decode.acc_seg: 70.0229, aux.loss_ce: 0.1582, aux.acc_seg: 69.5718, loss: 0.5262 2023-01-29 20:34:01,385 - mmseg - INFO - Iter [25050/160000] lr: 5.061e-05, eta: 15:40:40, time: 0.409, data_time: 0.006, memory: 12319, decode.loss_ce: 0.3599, decode.acc_seg: 69.5380, aux.loss_ce: 0.1526, aux.acc_seg: 69.1168, loss: 0.5125 2023-01-29 20:34:20,941 - mmseg - INFO - Iter [25100/160000] lr: 5.059e-05, eta: 15:40:12, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3681, decode.acc_seg: 69.8364, aux.loss_ce: 0.1572, aux.acc_seg: 69.3504, loss: 0.5253 2023-01-29 20:34:40,471 - mmseg - INFO - Iter [25150/160000] lr: 5.057e-05, eta: 15:39:44, time: 0.391, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3906, decode.acc_seg: 68.6088, aux.loss_ce: 0.1675, aux.acc_seg: 68.3073, loss: 0.5581 2023-01-29 20:35:00,029 - mmseg - INFO - Iter [25200/160000] lr: 5.055e-05, eta: 15:39:16, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3544, decode.acc_seg: 70.1774, aux.loss_ce: 0.1505, aux.acc_seg: 69.8259, loss: 0.5049 2023-01-29 20:35:19,806 - mmseg - INFO - Iter [25250/160000] lr: 5.053e-05, eta: 15:38:48, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3609, decode.acc_seg: 68.4249, aux.loss_ce: 0.1546, aux.acc_seg: 67.7760, loss: 0.5155 2023-01-29 20:35:42,106 - mmseg - INFO - Iter [25300/160000] lr: 5.051e-05, eta: 15:38:35, time: 0.448, data_time: 0.052, memory: 12319, decode.loss_ce: 0.3635, decode.acc_seg: 69.0951, aux.loss_ce: 0.1550, aux.acc_seg: 68.7679, loss: 0.5185 2023-01-29 20:36:02,019 - mmseg - INFO - Iter [25350/160000] lr: 5.049e-05, eta: 15:38:09, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3399, decode.acc_seg: 70.9219, aux.loss_ce: 0.1456, aux.acc_seg: 70.5614, loss: 0.4855 2023-01-29 20:36:21,700 - mmseg - INFO - Iter [25400/160000] lr: 5.048e-05, eta: 15:37:42, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3393, decode.acc_seg: 68.8564, aux.loss_ce: 0.1452, aux.acc_seg: 68.3405, loss: 0.4845 2023-01-29 20:36:41,567 - mmseg - INFO - Iter [25450/160000] lr: 5.046e-05, eta: 15:37:15, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3478, decode.acc_seg: 70.3730, aux.loss_ce: 0.1496, aux.acc_seg: 69.8794, loss: 0.4974 2023-01-29 20:37:01,404 - mmseg - INFO - Iter [25500/160000] lr: 5.044e-05, eta: 15:36:49, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3516, decode.acc_seg: 68.9268, aux.loss_ce: 0.1501, aux.acc_seg: 68.5619, loss: 0.5017 2023-01-29 20:37:21,202 - mmseg - INFO - Iter [25550/160000] lr: 5.042e-05, eta: 15:36:22, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3277, decode.acc_seg: 69.8460, aux.loss_ce: 0.1419, aux.acc_seg: 69.1475, loss: 0.4696 2023-01-29 20:37:41,152 - mmseg - INFO - Iter [25600/160000] lr: 5.040e-05, eta: 15:35:56, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3479, decode.acc_seg: 69.7114, aux.loss_ce: 0.1489, aux.acc_seg: 69.0547, loss: 0.4968 2023-01-29 20:38:01,098 - mmseg - INFO - Iter [25650/160000] lr: 5.038e-05, eta: 15:35:30, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3548, decode.acc_seg: 69.9075, aux.loss_ce: 0.1518, aux.acc_seg: 69.5162, loss: 0.5066 2023-01-29 20:38:21,100 - mmseg - INFO - Iter [25700/160000] lr: 5.036e-05, eta: 15:35:05, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3482, decode.acc_seg: 70.2491, aux.loss_ce: 0.1499, aux.acc_seg: 69.8816, loss: 0.4982 2023-01-29 20:38:40,977 - mmseg - INFO - Iter [25750/160000] lr: 5.034e-05, eta: 15:34:39, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3493, decode.acc_seg: 70.7241, aux.loss_ce: 0.1511, aux.acc_seg: 70.2336, loss: 0.5004 2023-01-29 20:39:00,832 - mmseg - INFO - Iter [25800/160000] lr: 5.033e-05, eta: 15:34:13, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3355, decode.acc_seg: 70.1419, aux.loss_ce: 0.1438, aux.acc_seg: 69.7243, loss: 0.4793 2023-01-29 20:39:20,503 - mmseg - INFO - Iter [25850/160000] lr: 5.031e-05, eta: 15:33:45, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3341, decode.acc_seg: 70.7286, aux.loss_ce: 0.1433, aux.acc_seg: 70.0535, loss: 0.4775 2023-01-29 20:39:40,365 - mmseg - INFO - Iter [25900/160000] lr: 5.029e-05, eta: 15:33:19, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3556, decode.acc_seg: 69.7645, aux.loss_ce: 0.1506, aux.acc_seg: 69.3275, loss: 0.5062 2023-01-29 20:40:00,284 - mmseg - INFO - Iter [25950/160000] lr: 5.027e-05, eta: 15:32:53, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3429, decode.acc_seg: 68.4274, aux.loss_ce: 0.1487, aux.acc_seg: 67.7120, loss: 0.4916 2023-01-29 20:40:19,974 - mmseg - INFO - Saving checkpoint at 26000 iterations 2023-01-29 20:40:30,730 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 20:40:30,730 - mmseg - INFO - Iter [26000/160000] lr: 5.025e-05, eta: 15:33:22, time: 0.608, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3614, decode.acc_seg: 69.8116, aux.loss_ce: 0.1567, aux.acc_seg: 69.3467, loss: 0.5181 2023-01-29 20:40:50,935 - mmseg - INFO - Iter [26050/160000] lr: 5.023e-05, eta: 15:32:57, time: 0.405, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3444, decode.acc_seg: 69.9047, aux.loss_ce: 0.1501, aux.acc_seg: 69.2868, loss: 0.4946 2023-01-29 20:41:10,895 - mmseg - INFO - Iter [26100/160000] lr: 5.021e-05, eta: 15:32:32, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3635, decode.acc_seg: 69.3587, aux.loss_ce: 0.1534, aux.acc_seg: 69.1405, loss: 0.5169 2023-01-29 20:41:30,688 - mmseg - INFO - Iter [26150/160000] lr: 5.019e-05, eta: 15:32:05, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3656, decode.acc_seg: 68.7160, aux.loss_ce: 0.1573, aux.acc_seg: 68.2159, loss: 0.5228 2023-01-29 20:41:50,431 - mmseg - INFO - Iter [26200/160000] lr: 5.018e-05, eta: 15:31:38, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3702, decode.acc_seg: 70.2543, aux.loss_ce: 0.1559, aux.acc_seg: 69.9329, loss: 0.5261 2023-01-29 20:42:10,429 - mmseg - INFO - Iter [26250/160000] lr: 5.016e-05, eta: 15:31:13, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3559, decode.acc_seg: 70.2860, aux.loss_ce: 0.1521, aux.acc_seg: 69.8239, loss: 0.5080 2023-01-29 20:42:30,232 - mmseg - INFO - Iter [26300/160000] lr: 5.014e-05, eta: 15:30:47, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3741, decode.acc_seg: 70.0594, aux.loss_ce: 0.1597, aux.acc_seg: 69.3692, loss: 0.5339 2023-01-29 20:42:49,982 - mmseg - INFO - Iter [26350/160000] lr: 5.012e-05, eta: 15:30:20, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3574, decode.acc_seg: 68.9668, aux.loss_ce: 0.1509, aux.acc_seg: 68.5768, loss: 0.5082 2023-01-29 20:43:10,083 - mmseg - INFO - Iter [26400/160000] lr: 5.010e-05, eta: 15:29:55, time: 0.402, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3484, decode.acc_seg: 69.9362, aux.loss_ce: 0.1476, aux.acc_seg: 69.5198, loss: 0.4960 2023-01-29 20:43:30,084 - mmseg - INFO - Iter [26450/160000] lr: 5.008e-05, eta: 15:29:30, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3750, decode.acc_seg: 68.2498, aux.loss_ce: 0.1612, aux.acc_seg: 67.7779, loss: 0.5363 2023-01-29 20:43:50,036 - mmseg - INFO - Iter [26500/160000] lr: 5.006e-05, eta: 15:29:04, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3646, decode.acc_seg: 70.1434, aux.loss_ce: 0.1537, aux.acc_seg: 69.8099, loss: 0.5183 2023-01-29 20:44:12,930 - mmseg - INFO - Iter [26550/160000] lr: 5.004e-05, eta: 15:28:53, time: 0.455, data_time: 0.053, memory: 12319, decode.loss_ce: 0.3408, decode.acc_seg: 69.4820, aux.loss_ce: 0.1452, aux.acc_seg: 69.0806, loss: 0.4861 2023-01-29 20:44:32,710 - mmseg - INFO - Iter [26600/160000] lr: 5.003e-05, eta: 15:28:27, time: 0.398, data_time: 0.007, memory: 12319, decode.loss_ce: 0.3443, decode.acc_seg: 69.7155, aux.loss_ce: 0.1480, aux.acc_seg: 69.1873, loss: 0.4923 2023-01-29 20:44:52,530 - mmseg - INFO - Iter [26650/160000] lr: 5.001e-05, eta: 15:28:01, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3396, decode.acc_seg: 68.3515, aux.loss_ce: 0.1446, aux.acc_seg: 67.9788, loss: 0.4842 2023-01-29 20:45:12,469 - mmseg - INFO - Iter [26700/160000] lr: 4.999e-05, eta: 15:27:35, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3497, decode.acc_seg: 69.8489, aux.loss_ce: 0.1520, aux.acc_seg: 69.1733, loss: 0.5016 2023-01-29 20:45:32,148 - mmseg - INFO - Iter [26750/160000] lr: 4.997e-05, eta: 15:27:08, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3365, decode.acc_seg: 70.1802, aux.loss_ce: 0.1455, aux.acc_seg: 69.5983, loss: 0.4820 2023-01-29 20:45:52,137 - mmseg - INFO - Iter [26800/160000] lr: 4.995e-05, eta: 15:26:43, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3220, decode.acc_seg: 69.9939, aux.loss_ce: 0.1371, aux.acc_seg: 69.5732, loss: 0.4591 2023-01-29 20:46:11,933 - mmseg - INFO - Iter [26850/160000] lr: 4.993e-05, eta: 15:26:17, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3525, decode.acc_seg: 70.0207, aux.loss_ce: 0.1518, aux.acc_seg: 69.5417, loss: 0.5043 2023-01-29 20:46:31,802 - mmseg - INFO - Iter [26900/160000] lr: 4.991e-05, eta: 15:25:51, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3407, decode.acc_seg: 70.3860, aux.loss_ce: 0.1475, aux.acc_seg: 69.9681, loss: 0.4882 2023-01-29 20:46:51,782 - mmseg - INFO - Iter [26950/160000] lr: 4.989e-05, eta: 15:25:26, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3547, decode.acc_seg: 70.1478, aux.loss_ce: 0.1521, aux.acc_seg: 69.6681, loss: 0.5068 2023-01-29 20:47:11,686 - mmseg - INFO - Saving checkpoint at 27000 iterations 2023-01-29 20:47:23,343 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 20:47:23,346 - mmseg - INFO - Iter [27000/160000] lr: 4.988e-05, eta: 15:25:57, time: 0.630, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3485, decode.acc_seg: 70.0696, aux.loss_ce: 0.1503, aux.acc_seg: 69.4597, loss: 0.4989 2023-01-29 20:47:43,754 - mmseg - INFO - Iter [27050/160000] lr: 4.986e-05, eta: 15:25:34, time: 0.409, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3404, decode.acc_seg: 70.4831, aux.loss_ce: 0.1455, aux.acc_seg: 69.9851, loss: 0.4859 2023-01-29 20:48:03,819 - mmseg - INFO - Iter [27100/160000] lr: 4.984e-05, eta: 15:25:10, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3456, decode.acc_seg: 68.9229, aux.loss_ce: 0.1471, aux.acc_seg: 68.4529, loss: 0.4927 2023-01-29 20:48:23,750 - mmseg - INFO - Iter [27150/160000] lr: 4.982e-05, eta: 15:24:44, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3602, decode.acc_seg: 69.1465, aux.loss_ce: 0.1561, aux.acc_seg: 68.4755, loss: 0.5163 2023-01-29 20:48:43,575 - mmseg - INFO - Iter [27200/160000] lr: 4.980e-05, eta: 15:24:18, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3355, decode.acc_seg: 70.1725, aux.loss_ce: 0.1446, aux.acc_seg: 69.6247, loss: 0.4801 2023-01-29 20:49:03,298 - mmseg - INFO - Iter [27250/160000] lr: 4.978e-05, eta: 15:23:51, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3352, decode.acc_seg: 69.8982, aux.loss_ce: 0.1429, aux.acc_seg: 69.6264, loss: 0.4781 2023-01-29 20:49:23,214 - mmseg - INFO - Iter [27300/160000] lr: 4.976e-05, eta: 15:23:26, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3321, decode.acc_seg: 69.8452, aux.loss_ce: 0.1421, aux.acc_seg: 69.3372, loss: 0.4741 2023-01-29 20:49:43,390 - mmseg - INFO - Iter [27350/160000] lr: 4.974e-05, eta: 15:23:01, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3340, decode.acc_seg: 70.8758, aux.loss_ce: 0.1429, aux.acc_seg: 70.2339, loss: 0.4769 2023-01-29 20:50:03,851 - mmseg - INFO - Iter [27400/160000] lr: 4.973e-05, eta: 15:22:38, time: 0.409, data_time: 0.007, memory: 12319, decode.loss_ce: 0.3586, decode.acc_seg: 70.7028, aux.loss_ce: 0.1523, aux.acc_seg: 70.3200, loss: 0.5109 2023-01-29 20:50:23,898 - mmseg - INFO - Iter [27450/160000] lr: 4.971e-05, eta: 15:22:13, time: 0.401, data_time: 0.007, memory: 12319, decode.loss_ce: 0.3450, decode.acc_seg: 70.5050, aux.loss_ce: 0.1489, aux.acc_seg: 70.0982, loss: 0.4940 2023-01-29 20:50:43,723 - mmseg - INFO - Iter [27500/160000] lr: 4.969e-05, eta: 15:21:47, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.3390, decode.acc_seg: 70.1165, aux.loss_ce: 0.1443, aux.acc_seg: 69.8080, loss: 0.4833 2023-01-29 20:51:03,764 - mmseg - INFO - Iter [27550/160000] lr: 4.967e-05, eta: 15:21:23, time: 0.403, data_time: 0.006, memory: 12319, decode.loss_ce: 0.3548, decode.acc_seg: 70.8016, aux.loss_ce: 0.1497, aux.acc_seg: 70.3759, loss: 0.5045 2023-01-29 20:51:23,523 - mmseg - INFO - Iter [27600/160000] lr: 4.965e-05, eta: 15:20:57, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3608, decode.acc_seg: 68.8996, aux.loss_ce: 0.1542, aux.acc_seg: 68.4499, loss: 0.5150 2023-01-29 20:51:43,406 - mmseg - INFO - Iter [27650/160000] lr: 4.963e-05, eta: 15:20:31, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3386, decode.acc_seg: 69.0426, aux.loss_ce: 0.1444, aux.acc_seg: 68.5382, loss: 0.4830 2023-01-29 20:52:03,240 - mmseg - INFO - Iter [27700/160000] lr: 4.961e-05, eta: 15:20:05, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3295, decode.acc_seg: 70.5469, aux.loss_ce: 0.1416, aux.acc_seg: 70.0572, loss: 0.4710 2023-01-29 20:52:22,993 - mmseg - INFO - Iter [27750/160000] lr: 4.959e-05, eta: 15:19:39, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3253, decode.acc_seg: 70.9983, aux.loss_ce: 0.1393, aux.acc_seg: 70.6564, loss: 0.4646 2023-01-29 20:52:45,741 - mmseg - INFO - Iter [27800/160000] lr: 4.958e-05, eta: 15:19:27, time: 0.455, data_time: 0.051, memory: 12319, decode.loss_ce: 0.3348, decode.acc_seg: 70.1658, aux.loss_ce: 0.1433, aux.acc_seg: 69.7608, loss: 0.4782 2023-01-29 20:53:05,728 - mmseg - INFO - Iter [27850/160000] lr: 4.956e-05, eta: 15:19:02, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3540, decode.acc_seg: 72.1029, aux.loss_ce: 0.1518, aux.acc_seg: 71.6803, loss: 0.5057 2023-01-29 20:53:25,885 - mmseg - INFO - Iter [27900/160000] lr: 4.954e-05, eta: 15:18:38, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3326, decode.acc_seg: 71.5347, aux.loss_ce: 0.1444, aux.acc_seg: 71.0364, loss: 0.4770 2023-01-29 20:53:45,794 - mmseg - INFO - Iter [27950/160000] lr: 4.952e-05, eta: 15:18:13, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3284, decode.acc_seg: 70.1931, aux.loss_ce: 0.1402, aux.acc_seg: 69.6794, loss: 0.4685 2023-01-29 20:54:05,796 - mmseg - INFO - Saving checkpoint at 28000 iterations 2023-01-29 20:54:15,896 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 20:54:15,897 - mmseg - INFO - Iter [28000/160000] lr: 4.950e-05, eta: 15:18:36, time: 0.602, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3344, decode.acc_seg: 71.0178, aux.loss_ce: 0.1440, aux.acc_seg: 70.6413, loss: 0.4784 2023-01-29 20:54:35,948 - mmseg - INFO - Iter [28050/160000] lr: 4.948e-05, eta: 15:18:11, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3314, decode.acc_seg: 70.9319, aux.loss_ce: 0.1416, aux.acc_seg: 70.5570, loss: 0.4730 2023-01-29 20:54:55,640 - mmseg - INFO - Iter [28100/160000] lr: 4.946e-05, eta: 15:17:44, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3351, decode.acc_seg: 70.8541, aux.loss_ce: 0.1440, aux.acc_seg: 70.2897, loss: 0.4791 2023-01-29 20:55:15,356 - mmseg - INFO - Iter [28150/160000] lr: 4.944e-05, eta: 15:17:18, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3266, decode.acc_seg: 71.0074, aux.loss_ce: 0.1410, aux.acc_seg: 70.4983, loss: 0.4676 2023-01-29 20:55:35,143 - mmseg - INFO - Iter [28200/160000] lr: 4.943e-05, eta: 15:16:52, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3275, decode.acc_seg: 70.7689, aux.loss_ce: 0.1413, aux.acc_seg: 70.3430, loss: 0.4688 2023-01-29 20:55:55,136 - mmseg - INFO - Iter [28250/160000] lr: 4.941e-05, eta: 15:16:27, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3588, decode.acc_seg: 69.2037, aux.loss_ce: 0.1529, aux.acc_seg: 68.6111, loss: 0.5117 2023-01-29 20:56:15,033 - mmseg - INFO - Iter [28300/160000] lr: 4.939e-05, eta: 15:16:02, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3341, decode.acc_seg: 70.2832, aux.loss_ce: 0.1439, aux.acc_seg: 69.8504, loss: 0.4780 2023-01-29 20:56:35,018 - mmseg - INFO - Iter [28350/160000] lr: 4.937e-05, eta: 15:15:37, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3167, decode.acc_seg: 69.3574, aux.loss_ce: 0.1360, aux.acc_seg: 68.8531, loss: 0.4527 2023-01-29 20:56:54,661 - mmseg - INFO - Iter [28400/160000] lr: 4.935e-05, eta: 15:15:10, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3289, decode.acc_seg: 71.0243, aux.loss_ce: 0.1408, aux.acc_seg: 70.7188, loss: 0.4697 2023-01-29 20:57:14,499 - mmseg - INFO - Iter [28450/160000] lr: 4.933e-05, eta: 15:14:45, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3421, decode.acc_seg: 69.6351, aux.loss_ce: 0.1467, aux.acc_seg: 69.1947, loss: 0.4888 2023-01-29 20:57:34,456 - mmseg - INFO - Iter [28500/160000] lr: 4.931e-05, eta: 15:14:19, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3384, decode.acc_seg: 69.4165, aux.loss_ce: 0.1447, aux.acc_seg: 68.9520, loss: 0.4832 2023-01-29 20:57:54,454 - mmseg - INFO - Iter [28550/160000] lr: 4.929e-05, eta: 15:13:55, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3420, decode.acc_seg: 69.6777, aux.loss_ce: 0.1463, aux.acc_seg: 69.3018, loss: 0.4883 2023-01-29 20:58:14,377 - mmseg - INFO - Iter [28600/160000] lr: 4.928e-05, eta: 15:13:30, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3309, decode.acc_seg: 69.6356, aux.loss_ce: 0.1423, aux.acc_seg: 69.1069, loss: 0.4732 2023-01-29 20:58:34,099 - mmseg - INFO - Iter [28650/160000] lr: 4.926e-05, eta: 15:13:03, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3322, decode.acc_seg: 71.2408, aux.loss_ce: 0.1430, aux.acc_seg: 70.7107, loss: 0.4752 2023-01-29 20:58:53,904 - mmseg - INFO - Iter [28700/160000] lr: 4.924e-05, eta: 15:12:38, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3140, decode.acc_seg: 69.5465, aux.loss_ce: 0.1362, aux.acc_seg: 69.0550, loss: 0.4502 2023-01-29 20:59:13,813 - mmseg - INFO - Iter [28750/160000] lr: 4.922e-05, eta: 15:12:13, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3340, decode.acc_seg: 70.0684, aux.loss_ce: 0.1424, aux.acc_seg: 69.7005, loss: 0.4764 2023-01-29 20:59:33,803 - mmseg - INFO - Iter [28800/160000] lr: 4.920e-05, eta: 15:11:48, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3474, decode.acc_seg: 69.8685, aux.loss_ce: 0.1476, aux.acc_seg: 69.6943, loss: 0.4950 2023-01-29 20:59:53,790 - mmseg - INFO - Iter [28850/160000] lr: 4.918e-05, eta: 15:11:23, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3323, decode.acc_seg: 68.6961, aux.loss_ce: 0.1420, aux.acc_seg: 68.1937, loss: 0.4743 2023-01-29 21:00:13,333 - mmseg - INFO - Iter [28900/160000] lr: 4.916e-05, eta: 15:10:56, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3476, decode.acc_seg: 70.3188, aux.loss_ce: 0.1491, aux.acc_seg: 69.8741, loss: 0.4967 2023-01-29 21:00:33,311 - mmseg - INFO - Iter [28950/160000] lr: 4.914e-05, eta: 15:10:31, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3600, decode.acc_seg: 71.0974, aux.loss_ce: 0.1530, aux.acc_seg: 70.7380, loss: 0.5130 2023-01-29 21:00:53,214 - mmseg - INFO - Saving checkpoint at 29000 iterations 2023-01-29 21:01:03,880 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 21:01:03,880 - mmseg - INFO - Iter [29000/160000] lr: 4.913e-05, eta: 15:10:55, time: 0.613, data_time: 0.006, memory: 12319, decode.loss_ce: 0.3471, decode.acc_seg: 70.0163, aux.loss_ce: 0.1481, aux.acc_seg: 69.6556, loss: 0.4952 2023-01-29 21:01:27,163 - mmseg - INFO - Iter [29050/160000] lr: 4.911e-05, eta: 15:10:45, time: 0.466, data_time: 0.052, memory: 12319, decode.loss_ce: 0.3334, decode.acc_seg: 70.4799, aux.loss_ce: 0.1427, aux.acc_seg: 69.9725, loss: 0.4760 2023-01-29 21:01:47,113 - mmseg - INFO - Iter [29100/160000] lr: 4.909e-05, eta: 15:10:20, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3270, decode.acc_seg: 69.8392, aux.loss_ce: 0.1407, aux.acc_seg: 69.4660, loss: 0.4677 2023-01-29 21:02:07,249 - mmseg - INFO - Iter [29150/160000] lr: 4.907e-05, eta: 15:09:56, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3063, decode.acc_seg: 71.6489, aux.loss_ce: 0.1322, aux.acc_seg: 71.0983, loss: 0.4385 2023-01-29 21:02:27,117 - mmseg - INFO - Iter [29200/160000] lr: 4.905e-05, eta: 15:09:30, time: 0.398, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3069, decode.acc_seg: 69.6307, aux.loss_ce: 0.1320, aux.acc_seg: 69.1811, loss: 0.4389 2023-01-29 21:02:47,066 - mmseg - INFO - Iter [29250/160000] lr: 4.903e-05, eta: 15:09:05, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3169, decode.acc_seg: 71.4083, aux.loss_ce: 0.1362, aux.acc_seg: 71.0789, loss: 0.4532 2023-01-29 21:03:07,020 - mmseg - INFO - Iter [29300/160000] lr: 4.901e-05, eta: 15:08:41, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3283, decode.acc_seg: 70.8330, aux.loss_ce: 0.1407, aux.acc_seg: 70.4612, loss: 0.4689 2023-01-29 21:03:26,818 - mmseg - INFO - Iter [29350/160000] lr: 4.899e-05, eta: 15:08:15, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3373, decode.acc_seg: 69.6787, aux.loss_ce: 0.1464, aux.acc_seg: 69.1607, loss: 0.4837 2023-01-29 21:03:46,673 - mmseg - INFO - Iter [29400/160000] lr: 4.898e-05, eta: 15:07:50, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3138, decode.acc_seg: 69.7959, aux.loss_ce: 0.1345, aux.acc_seg: 69.3629, loss: 0.4483 2023-01-29 21:04:06,548 - mmseg - INFO - Iter [29450/160000] lr: 4.896e-05, eta: 15:07:24, time: 0.398, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3193, decode.acc_seg: 71.2384, aux.loss_ce: 0.1384, aux.acc_seg: 70.5239, loss: 0.4578 2023-01-29 21:04:26,284 - mmseg - INFO - Iter [29500/160000] lr: 4.894e-05, eta: 15:06:59, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3149, decode.acc_seg: 70.0403, aux.loss_ce: 0.1353, aux.acc_seg: 69.5754, loss: 0.4502 2023-01-29 21:06:24,847 - mmseg - INFO - Iter [29550/160000] lr: 4.892e-05, eta: 15:06:34, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3360, decode.acc_seg: 70.1049, aux.loss_ce: 0.1435, aux.acc_seg: 69.5716, loss: 0.4795 2023-01-29 21:06:47,193 - mmseg - INFO - Iter [29600/160000] lr: 4.890e-05, eta: 15:13:34, time: 2.420, data_time: 1.986, memory: 12319, decode.loss_ce: 0.3376, decode.acc_seg: 71.9425, aux.loss_ce: 0.1449, aux.acc_seg: 71.4662, loss: 0.4825 2023-01-29 21:07:06,866 - mmseg - INFO - Iter [29650/160000] lr: 4.888e-05, eta: 15:13:07, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3543, decode.acc_seg: 71.5410, aux.loss_ce: 0.1536, aux.acc_seg: 70.8835, loss: 0.5079 2023-01-29 21:07:26,867 - mmseg - INFO - Iter [29700/160000] lr: 4.886e-05, eta: 15:12:42, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3366, decode.acc_seg: 69.3708, aux.loss_ce: 0.1431, aux.acc_seg: 68.9012, loss: 0.4797 2023-01-29 21:07:46,905 - mmseg - INFO - Iter [29750/160000] lr: 4.884e-05, eta: 15:12:16, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3170, decode.acc_seg: 70.5990, aux.loss_ce: 0.1369, aux.acc_seg: 70.1775, loss: 0.4539 2023-01-29 21:08:06,634 - mmseg - INFO - Iter [29800/160000] lr: 4.883e-05, eta: 15:11:50, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3430, decode.acc_seg: 71.5488, aux.loss_ce: 0.1463, aux.acc_seg: 71.0962, loss: 0.4893 2023-01-29 21:08:26,632 - mmseg - INFO - Iter [29850/160000] lr: 4.881e-05, eta: 15:11:24, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3250, decode.acc_seg: 69.2127, aux.loss_ce: 0.1405, aux.acc_seg: 68.7391, loss: 0.4655 2023-01-29 21:08:46,596 - mmseg - INFO - Iter [29900/160000] lr: 4.879e-05, eta: 15:10:59, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3502, decode.acc_seg: 70.3949, aux.loss_ce: 0.1470, aux.acc_seg: 70.0890, loss: 0.4972 2023-01-29 21:09:06,527 - mmseg - INFO - Iter [29950/160000] lr: 4.877e-05, eta: 15:10:33, time: 0.398, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3297, decode.acc_seg: 70.4970, aux.loss_ce: 0.1432, aux.acc_seg: 69.9227, loss: 0.4730 2023-01-29 21:09:26,634 - mmseg - INFO - Saving checkpoint at 30000 iterations 2023-01-29 21:09:37,239 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 21:09:37,240 - mmseg - INFO - Iter [30000/160000] lr: 4.875e-05, eta: 15:10:54, time: 0.614, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3407, decode.acc_seg: 69.3296, aux.loss_ce: 0.1479, aux.acc_seg: 68.7748, loss: 0.4886 2023-01-29 21:09:58,008 - mmseg - INFO - Iter [30050/160000] lr: 4.873e-05, eta: 15:10:32, time: 0.415, data_time: 0.007, memory: 12319, decode.loss_ce: 0.3388, decode.acc_seg: 70.3167, aux.loss_ce: 0.1450, aux.acc_seg: 69.8697, loss: 0.4838 2023-01-29 21:10:17,700 - mmseg - INFO - Iter [30100/160000] lr: 4.871e-05, eta: 15:10:05, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3367, decode.acc_seg: 71.6015, aux.loss_ce: 0.1440, aux.acc_seg: 71.2700, loss: 0.4807 2023-01-29 21:10:37,692 - mmseg - INFO - Iter [30150/160000] lr: 4.869e-05, eta: 15:09:40, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3516, decode.acc_seg: 71.6559, aux.loss_ce: 0.1501, aux.acc_seg: 71.1639, loss: 0.5017 2023-01-29 21:10:58,024 - mmseg - INFO - Iter [30200/160000] lr: 4.868e-05, eta: 15:09:16, time: 0.407, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3377, decode.acc_seg: 70.0921, aux.loss_ce: 0.1450, aux.acc_seg: 69.4859, loss: 0.4826 2023-01-29 21:11:17,630 - mmseg - INFO - Iter [30250/160000] lr: 4.866e-05, eta: 15:08:49, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3357, decode.acc_seg: 69.1994, aux.loss_ce: 0.1450, aux.acc_seg: 68.6820, loss: 0.4807 2023-01-29 21:11:37,542 - mmseg - INFO - Iter [30300/160000] lr: 4.864e-05, eta: 15:08:23, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3403, decode.acc_seg: 69.7455, aux.loss_ce: 0.1473, aux.acc_seg: 69.1546, loss: 0.4876 2023-01-29 21:12:00,933 - mmseg - INFO - Iter [30350/160000] lr: 4.862e-05, eta: 15:08:12, time: 0.468, data_time: 0.051, memory: 12319, decode.loss_ce: 0.3245, decode.acc_seg: 71.0263, aux.loss_ce: 0.1380, aux.acc_seg: 70.6995, loss: 0.4625 2023-01-29 21:12:20,869 - mmseg - INFO - Iter [30400/160000] lr: 4.860e-05, eta: 15:07:47, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3261, decode.acc_seg: 69.7742, aux.loss_ce: 0.1394, aux.acc_seg: 69.3696, loss: 0.4655 2023-01-29 21:12:40,850 - mmseg - INFO - Iter [30450/160000] lr: 4.858e-05, eta: 15:07:21, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3018, decode.acc_seg: 70.0885, aux.loss_ce: 0.1316, aux.acc_seg: 69.4567, loss: 0.4334 2023-01-29 21:13:00,649 - mmseg - INFO - Iter [30500/160000] lr: 4.856e-05, eta: 15:06:55, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3198, decode.acc_seg: 70.3732, aux.loss_ce: 0.1373, aux.acc_seg: 69.7381, loss: 0.4571 2023-01-29 21:13:20,345 - mmseg - INFO - Iter [30550/160000] lr: 4.854e-05, eta: 15:06:28, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3227, decode.acc_seg: 71.3237, aux.loss_ce: 0.1396, aux.acc_seg: 70.7361, loss: 0.4624 2023-01-29 21:13:40,351 - mmseg - INFO - Iter [30600/160000] lr: 4.853e-05, eta: 15:06:03, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3140, decode.acc_seg: 69.9289, aux.loss_ce: 0.1359, aux.acc_seg: 69.2182, loss: 0.4500 2023-01-29 21:14:00,288 - mmseg - INFO - Iter [30650/160000] lr: 4.851e-05, eta: 15:05:38, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3179, decode.acc_seg: 71.2634, aux.loss_ce: 0.1361, aux.acc_seg: 70.8580, loss: 0.4539 2023-01-29 21:14:19,878 - mmseg - INFO - Iter [30700/160000] lr: 4.849e-05, eta: 15:05:11, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3306, decode.acc_seg: 71.2602, aux.loss_ce: 0.1420, aux.acc_seg: 70.7027, loss: 0.4726 2023-01-29 21:14:39,744 - mmseg - INFO - Iter [30750/160000] lr: 4.847e-05, eta: 15:04:45, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2986, decode.acc_seg: 70.8226, aux.loss_ce: 0.1300, aux.acc_seg: 70.4079, loss: 0.4287 2023-01-29 21:14:59,748 - mmseg - INFO - Iter [30800/160000] lr: 4.845e-05, eta: 15:04:20, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3265, decode.acc_seg: 71.8594, aux.loss_ce: 0.1399, aux.acc_seg: 71.3388, loss: 0.4663 2023-01-29 21:15:19,958 - mmseg - INFO - Iter [30850/160000] lr: 4.843e-05, eta: 15:03:55, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3339, decode.acc_seg: 70.4699, aux.loss_ce: 0.1430, aux.acc_seg: 70.0700, loss: 0.4768 2023-01-29 21:15:39,876 - mmseg - INFO - Iter [30900/160000] lr: 4.841e-05, eta: 15:03:30, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3438, decode.acc_seg: 70.2102, aux.loss_ce: 0.1472, aux.acc_seg: 69.8336, loss: 0.4910 2023-01-29 21:15:59,853 - mmseg - INFO - Iter [30950/160000] lr: 4.839e-05, eta: 15:03:05, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3249, decode.acc_seg: 70.1484, aux.loss_ce: 0.1410, aux.acc_seg: 69.4934, loss: 0.4659 2023-01-29 21:16:19,645 - mmseg - INFO - Saving checkpoint at 31000 iterations 2023-01-29 21:16:30,660 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 21:16:30,665 - mmseg - INFO - Iter [31000/160000] lr: 4.838e-05, eta: 15:03:24, time: 0.613, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3251, decode.acc_seg: 71.2429, aux.loss_ce: 0.1393, aux.acc_seg: 70.6780, loss: 0.4643 2023-01-29 21:16:51,215 - mmseg - INFO - Iter [31050/160000] lr: 4.836e-05, eta: 15:03:02, time: 0.414, data_time: 0.007, memory: 12319, decode.loss_ce: 0.3255, decode.acc_seg: 71.1971, aux.loss_ce: 0.1413, aux.acc_seg: 70.7560, loss: 0.4668 2023-01-29 21:17:10,950 - mmseg - INFO - Iter [31100/160000] lr: 4.834e-05, eta: 15:02:35, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3333, decode.acc_seg: 71.1782, aux.loss_ce: 0.1431, aux.acc_seg: 70.5721, loss: 0.4764 2023-01-29 21:17:30,737 - mmseg - INFO - Iter [31150/160000] lr: 4.832e-05, eta: 15:02:09, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3354, decode.acc_seg: 70.3617, aux.loss_ce: 0.1425, aux.acc_seg: 69.9614, loss: 0.4780 2023-01-29 21:17:50,323 - mmseg - INFO - Iter [31200/160000] lr: 4.830e-05, eta: 15:01:42, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3157, decode.acc_seg: 69.2535, aux.loss_ce: 0.1367, aux.acc_seg: 68.6819, loss: 0.4524 2023-01-29 21:18:10,257 - mmseg - INFO - Iter [31250/160000] lr: 4.828e-05, eta: 15:01:17, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3281, decode.acc_seg: 70.9482, aux.loss_ce: 0.1421, aux.acc_seg: 70.3021, loss: 0.4702 2023-01-29 21:18:30,158 - mmseg - INFO - Iter [31300/160000] lr: 4.826e-05, eta: 15:00:51, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3457, decode.acc_seg: 69.7579, aux.loss_ce: 0.1469, aux.acc_seg: 69.3739, loss: 0.4926 2023-01-29 21:18:49,897 - mmseg - INFO - Iter [31350/160000] lr: 4.824e-05, eta: 15:00:25, time: 0.398, data_time: 0.007, memory: 12319, decode.loss_ce: 0.3048, decode.acc_seg: 70.8082, aux.loss_ce: 0.1323, aux.acc_seg: 70.2649, loss: 0.4371 2023-01-29 21:19:10,037 - mmseg - INFO - Iter [31400/160000] lr: 4.823e-05, eta: 15:00:01, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3172, decode.acc_seg: 69.1826, aux.loss_ce: 0.1365, aux.acc_seg: 68.6422, loss: 0.4537 2023-01-29 21:19:30,267 - mmseg - INFO - Iter [31450/160000] lr: 4.821e-05, eta: 14:59:37, time: 0.406, data_time: 0.006, memory: 12319, decode.loss_ce: 0.3292, decode.acc_seg: 70.9359, aux.loss_ce: 0.1420, aux.acc_seg: 70.3898, loss: 0.4711 2023-01-29 21:19:50,506 - mmseg - INFO - Iter [31500/160000] lr: 4.819e-05, eta: 14:59:13, time: 0.405, data_time: 0.006, memory: 12319, decode.loss_ce: 0.3485, decode.acc_seg: 70.3968, aux.loss_ce: 0.1501, aux.acc_seg: 69.7316, loss: 0.4985 2023-01-29 21:20:10,498 - mmseg - INFO - Iter [31550/160000] lr: 4.817e-05, eta: 14:58:48, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3179, decode.acc_seg: 68.5502, aux.loss_ce: 0.1374, aux.acc_seg: 68.0520, loss: 0.4553 2023-01-29 21:20:34,232 - mmseg - INFO - Iter [31600/160000] lr: 4.815e-05, eta: 14:58:37, time: 0.471, data_time: 0.064, memory: 12319, decode.loss_ce: 0.3002, decode.acc_seg: 68.1325, aux.loss_ce: 0.1278, aux.acc_seg: 67.7631, loss: 0.4280 2023-01-29 21:21:00,424 - mmseg - INFO - Iter [31650/160000] lr: 4.813e-05, eta: 14:58:37, time: 0.524, data_time: 0.105, memory: 12319, decode.loss_ce: 0.3118, decode.acc_seg: 70.8174, aux.loss_ce: 0.1340, aux.acc_seg: 70.2186, loss: 0.4458 2023-01-29 21:21:20,040 - mmseg - INFO - Iter [31700/160000] lr: 4.811e-05, eta: 14:58:11, time: 0.395, data_time: 0.007, memory: 12319, decode.loss_ce: 0.3337, decode.acc_seg: 71.9875, aux.loss_ce: 0.1434, aux.acc_seg: 71.4800, loss: 0.4771 2023-01-29 21:21:39,981 - mmseg - INFO - Iter [31750/160000] lr: 4.809e-05, eta: 14:57:46, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3266, decode.acc_seg: 70.2057, aux.loss_ce: 0.1410, aux.acc_seg: 69.7695, loss: 0.4676 2023-01-29 21:21:59,828 - mmseg - INFO - Iter [31800/160000] lr: 4.808e-05, eta: 14:57:20, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3093, decode.acc_seg: 71.8106, aux.loss_ce: 0.1341, aux.acc_seg: 71.3085, loss: 0.4434 2023-01-29 21:22:19,789 - mmseg - INFO - Iter [31850/160000] lr: 4.806e-05, eta: 14:56:55, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3169, decode.acc_seg: 71.3630, aux.loss_ce: 0.1337, aux.acc_seg: 70.8010, loss: 0.4506 2023-01-29 21:22:39,618 - mmseg - INFO - Iter [31900/160000] lr: 4.804e-05, eta: 14:56:29, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3292, decode.acc_seg: 70.6508, aux.loss_ce: 0.1409, aux.acc_seg: 70.3196, loss: 0.4700 2023-01-29 21:22:59,289 - mmseg - INFO - Iter [31950/160000] lr: 4.802e-05, eta: 14:56:03, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3127, decode.acc_seg: 70.8247, aux.loss_ce: 0.1345, aux.acc_seg: 70.4060, loss: 0.4472 2023-01-29 21:23:19,246 - mmseg - INFO - Saving checkpoint at 32000 iterations 2023-01-29 21:23:31,278 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 21:23:31,285 - mmseg - INFO - Iter [32000/160000] lr: 4.800e-05, eta: 14:56:26, time: 0.638, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3260, decode.acc_seg: 70.5883, aux.loss_ce: 0.1412, aux.acc_seg: 70.1241, loss: 0.4672 2023-01-29 21:24:01,123 - mmseg - INFO - per class results: 2023-01-29 21:24:01,131 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 78.77 | 86.9 | | building | 84.01 | 92.24 | | sky | 94.63 | 97.8 | | floor | 83.23 | 90.65 | | tree | 76.41 | 87.92 | | ceiling | 84.71 | 93.38 | | road | 83.82 | 89.95 | | bed | 90.6 | 95.91 | | windowpane | 62.37 | 78.17 | | grass | 64.73 | 74.72 | | cabinet | 59.97 | 71.66 | | sidewalk | 66.15 | 80.55 | | person | 83.68 | 91.77 | | earth | 41.55 | 59.54 | | door | 54.06 | 71.11 | | table | 64.44 | 78.68 | | mountain | 57.3 | 71.12 | | plant | 53.77 | 63.34 | | curtain | 74.34 | 91.29 | | chair | 61.0 | 73.75 | | car | 86.03 | 93.21 | | water | 59.01 | 75.9 | | painting | 72.25 | 88.7 | | sofa | 67.69 | 90.86 | | shelf | 46.05 | 60.64 | | house | 47.87 | 62.43 | | sea | 59.47 | 67.79 | | mirror | 68.13 | 76.68 | | rug | 68.93 | 80.76 | | field | 29.64 | 56.58 | | armchair | 37.89 | 50.16 | | seat | 69.89 | 86.27 | | fence | 49.63 | 67.58 | | desk | 46.78 | 63.88 | | rock | 59.55 | 75.61 | | wardrobe | 50.6 | 75.25 | | lamp | 62.27 | 78.52 | | bathtub | 82.78 | 86.8 | | railing | 38.33 | 52.22 | | cushion | 61.4 | 72.13 | | base | 38.33 | 68.09 | | box | 30.02 | 36.6 | | column | 47.91 | 65.39 | | signboard | 40.15 | 54.56 | | chest of drawers | 37.35 | 63.91 | | counter | 48.97 | 62.14 | | sand | 63.41 | 90.03 | | sink | 73.97 | 82.75 | | skyscraper | 50.52 | 65.47 | | fireplace | 71.83 | 94.48 | | refrigerator | 69.04 | 83.27 | | grandstand | 50.43 | 85.69 | | path | 28.85 | 39.62 | | stairs | 21.51 | 24.98 | | runway | 68.98 | 90.01 | | case | 61.45 | 93.38 | | pool table | 93.48 | 98.18 | | pillow | 62.48 | 75.14 | | screen door | 75.06 | 96.38 | | stairway | 43.0 | 68.85 | | river | 8.69 | 21.12 | | bridge | 77.12 | 88.97 | | bookcase | 38.11 | 49.5 | | blind | 48.16 | 56.28 | | coffee table | 63.43 | 80.86 | | toilet | 86.11 | 93.57 | | flower | 41.05 | 61.69 | | book | 52.47 | 78.85 | | hill | 12.95 | 24.65 | | bench | 59.35 | 76.83 | | countertop | 60.95 | 72.02 | | stove | 78.75 | 91.13 | | palm | 54.24 | 80.18 | | kitchen island | 37.2 | 75.42 | | computer | 74.2 | 93.18 | | swivel chair | 48.99 | 65.63 | | boat | 68.01 | 90.55 | | bar | 45.81 | 61.67 | | arcade machine | 63.28 | 69.31 | | hovel | 41.52 | 66.03 | | bus | 88.12 | 96.42 | | towel | 68.69 | 83.13 | | light | 53.4 | 60.0 | | truck | 37.81 | 50.87 | | tower | 23.16 | 49.85 | | chandelier | 68.19 | 84.72 | | awning | 33.89 | 44.22 | | streetlight | 27.31 | 34.54 | | booth | 56.84 | 61.87 | | television receiver | 68.29 | 88.24 | | airplane | 61.27 | 67.99 | | dirt track | 5.67 | 26.99 | | apparel | 42.14 | 68.96 | | pole | 21.76 | 26.37 | | land | 4.76 | 5.84 | | bannister | 8.64 | 11.14 | | escalator | 52.15 | 85.44 | | ottoman | 52.29 | 70.95 | | bottle | 41.45 | 68.43 | | buffet | 49.1 | 66.39 | | poster | 21.3 | 30.14 | | stage | 15.17 | 28.47 | | van | 44.79 | 56.81 | | ship | 64.38 | 81.72 | | fountain | 30.11 | 30.94 | | conveyer belt | 62.68 | 97.07 | | canopy | 42.91 | 62.7 | | washer | 89.15 | 96.82 | | plaything | 28.75 | 40.2 | | swimming pool | 63.49 | 73.14 | | stool | 39.68 | 51.68 | | barrel | 49.06 | 65.1 | | basket | 35.18 | 47.16 | | waterfall | 49.33 | 89.01 | | tent | 78.28 | 98.94 | | bag | 17.99 | 22.77 | | minibike | 74.2 | 87.49 | | cradle | 75.43 | 97.98 | | oven | 49.63 | 62.9 | | ball | 51.04 | 64.32 | | food | 43.36 | 46.94 | | step | 3.98 | 4.66 | | tank | 53.47 | 57.22 | | trade name | 31.85 | 36.96 | | microwave | 83.09 | 95.41 | | pot | 47.98 | 57.44 | | animal | 61.22 | 63.63 | | bicycle | 58.43 | 82.1 | | lake | 50.2 | 63.59 | | dishwasher | 58.48 | 69.44 | | screen | 56.68 | 93.35 | | blanket | 12.33 | 13.23 | | sculpture | 54.49 | 81.32 | | hood | 60.86 | 76.34 | | sconce | 37.59 | 46.68 | | vase | 44.19 | 59.58 | | traffic light | 32.99 | 63.82 | | tray | 3.82 | 4.49 | | ashcan | 41.19 | 62.03 | | fan | 59.6 | 72.98 | | pier | 39.69 | 46.71 | | crt screen | 7.78 | 16.56 | | plate | 52.61 | 72.56 | | monitor | 19.07 | 24.66 | | bulletin board | 51.56 | 70.69 | | shower | 0.36 | 0.48 | | radiator | 65.77 | 77.85 | | glass | 15.8 | 17.18 | | clock | 45.43 | 56.41 | | flag | 61.3 | 71.21 | +---------------------+-------+-------+ 2023-01-29 21:24:01,132 - mmseg - INFO - Summary: 2023-01-29 21:24:01,132 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.09 | 52.16 | 66.55 | +-------+-------+-------+ 2023-01-29 21:24:01,332 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/segmentation/work_dirs/upernet_uniperceiver_adapter_large_512_160k_ade20k/best_mIoU_iter_16000.pth was removed 2023-01-29 21:24:18,925 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. 2023-01-29 21:24:18,957 - mmseg - INFO - Best mIoU is 0.5216 at 32000 iter. 2023-01-29 21:24:18,979 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 21:24:18,979 - mmseg - INFO - Iter(val) [250] aAcc: 0.8409, mIoU: 0.5216, mAcc: 0.6655, IoU.wall: 0.7877, IoU.building: 0.8401, IoU.sky: 0.9463, IoU.floor: 0.8323, IoU.tree: 0.7641, IoU.ceiling: 0.8471, IoU.road: 0.8382, IoU.bed : 0.9060, IoU.windowpane: 0.6237, IoU.grass: 0.6473, IoU.cabinet: 0.5997, IoU.sidewalk: 0.6615, IoU.person: 0.8368, IoU.earth: 0.4155, IoU.door: 0.5406, IoU.table: 0.6444, IoU.mountain: 0.5730, IoU.plant: 0.5377, IoU.curtain: 0.7434, IoU.chair: 0.6100, IoU.car: 0.8603, IoU.water: 0.5901, IoU.painting: 0.7225, IoU.sofa: 0.6769, IoU.shelf: 0.4605, IoU.house: 0.4787, IoU.sea: 0.5947, IoU.mirror: 0.6813, IoU.rug: 0.6893, IoU.field: 0.2964, IoU.armchair: 0.3789, IoU.seat: 0.6989, IoU.fence: 0.4963, IoU.desk: 0.4678, IoU.rock: 0.5955, IoU.wardrobe: 0.5060, IoU.lamp: 0.6227, IoU.bathtub: 0.8278, IoU.railing: 0.3833, IoU.cushion: 0.6140, IoU.base: 0.3833, IoU.box: 0.3002, IoU.column: 0.4791, IoU.signboard: 0.4015, IoU.chest of drawers: 0.3735, IoU.counter: 0.4897, IoU.sand: 0.6341, IoU.sink: 0.7397, IoU.skyscraper: 0.5052, IoU.fireplace: 0.7183, IoU.refrigerator: 0.6904, IoU.grandstand: 0.5043, IoU.path: 0.2885, IoU.stairs: 0.2151, IoU.runway: 0.6898, IoU.case: 0.6145, IoU.pool table: 0.9348, IoU.pillow: 0.6248, IoU.screen door: 0.7506, IoU.stairway: 0.4300, IoU.river: 0.0869, IoU.bridge: 0.7712, IoU.bookcase: 0.3811, IoU.blind: 0.4816, IoU.coffee table: 0.6343, IoU.toilet: 0.8611, IoU.flower: 0.4105, IoU.book: 0.5247, IoU.hill: 0.1295, IoU.bench: 0.5935, IoU.countertop: 0.6095, IoU.stove: 0.7875, IoU.palm: 0.5424, IoU.kitchen island: 0.3720, IoU.computer: 0.7420, IoU.swivel chair: 0.4899, IoU.boat: 0.6801, IoU.bar: 0.4581, IoU.arcade machine: 0.6328, IoU.hovel: 0.4152, IoU.bus: 0.8812, IoU.towel: 0.6869, IoU.light: 0.5340, IoU.truck: 0.3781, IoU.tower: 0.2316, IoU.chandelier: 0.6819, IoU.awning: 0.3389, IoU.streetlight: 0.2731, IoU.booth: 0.5684, IoU.television receiver: 0.6829, IoU.airplane: 0.6127, IoU.dirt track: 0.0567, IoU.apparel: 0.4214, IoU.pole: 0.2176, IoU.land: 0.0476, IoU.bannister: 0.0864, IoU.escalator: 0.5215, IoU.ottoman: 0.5229, IoU.bottle: 0.4145, IoU.buffet: 0.4910, IoU.poster: 0.2130, IoU.stage: 0.1517, IoU.van: 0.4479, IoU.ship: 0.6438, IoU.fountain: 0.3011, IoU.conveyer belt: 0.6268, IoU.canopy: 0.4291, IoU.washer: 0.8915, IoU.plaything: 0.2875, IoU.swimming pool: 0.6349, IoU.stool: 0.3968, IoU.barrel: 0.4906, IoU.basket: 0.3518, IoU.waterfall: 0.4933, IoU.tent: 0.7828, IoU.bag: 0.1799, IoU.minibike: 0.7420, IoU.cradle: 0.7543, IoU.oven: 0.4963, IoU.ball: 0.5104, IoU.food: 0.4336, IoU.step: 0.0398, IoU.tank: 0.5347, IoU.trade name: 0.3185, IoU.microwave: 0.8309, IoU.pot: 0.4798, IoU.animal: 0.6122, IoU.bicycle: 0.5843, IoU.lake: 0.5020, IoU.dishwasher: 0.5848, IoU.screen: 0.5668, IoU.blanket: 0.1233, IoU.sculpture: 0.5449, IoU.hood: 0.6086, IoU.sconce: 0.3759, IoU.vase: 0.4419, IoU.traffic light: 0.3299, IoU.tray: 0.0382, IoU.ashcan: 0.4119, IoU.fan: 0.5960, IoU.pier: 0.3969, IoU.crt screen: 0.0778, IoU.plate: 0.5261, IoU.monitor: 0.1907, IoU.bulletin board: 0.5156, IoU.shower: 0.0036, IoU.radiator: 0.6577, IoU.glass: 0.1580, IoU.clock: 0.4543, IoU.flag: 0.6130, Acc.wall: 0.8690, Acc.building: 0.9224, Acc.sky: 0.9780, Acc.floor: 0.9065, Acc.tree: 0.8792, Acc.ceiling: 0.9338, Acc.road: 0.8995, Acc.bed : 0.9591, Acc.windowpane: 0.7817, Acc.grass: 0.7472, Acc.cabinet: 0.7166, Acc.sidewalk: 0.8055, Acc.person: 0.9177, Acc.earth: 0.5954, Acc.door: 0.7111, Acc.table: 0.7868, Acc.mountain: 0.7112, Acc.plant: 0.6334, Acc.curtain: 0.9129, Acc.chair: 0.7375, Acc.car: 0.9321, Acc.water: 0.7590, Acc.painting: 0.8870, Acc.sofa: 0.9086, Acc.shelf: 0.6064, Acc.house: 0.6243, Acc.sea: 0.6779, Acc.mirror: 0.7668, Acc.rug: 0.8076, Acc.field: 0.5658, Acc.armchair: 0.5016, Acc.seat: 0.8627, Acc.fence: 0.6758, Acc.desk: 0.6388, Acc.rock: 0.7561, Acc.wardrobe: 0.7525, Acc.lamp: 0.7852, Acc.bathtub: 0.8680, Acc.railing: 0.5222, Acc.cushion: 0.7213, Acc.base: 0.6809, Acc.box: 0.3660, Acc.column: 0.6539, Acc.signboard: 0.5456, Acc.chest of drawers: 0.6391, Acc.counter: 0.6214, Acc.sand: 0.9003, Acc.sink: 0.8275, Acc.skyscraper: 0.6547, Acc.fireplace: 0.9448, Acc.refrigerator: 0.8327, Acc.grandstand: 0.8569, Acc.path: 0.3962, Acc.stairs: 0.2498, Acc.runway: 0.9001, Acc.case: 0.9338, Acc.pool table: 0.9818, Acc.pillow: 0.7514, Acc.screen door: 0.9638, Acc.stairway: 0.6885, Acc.river: 0.2112, Acc.bridge: 0.8897, Acc.bookcase: 0.4950, Acc.blind: 0.5628, Acc.coffee table: 0.8086, Acc.toilet: 0.9357, Acc.flower: 0.6169, Acc.book: 0.7885, Acc.hill: 0.2465, Acc.bench: 0.7683, Acc.countertop: 0.7202, Acc.stove: 0.9113, Acc.palm: 0.8018, Acc.kitchen island: 0.7542, Acc.computer: 0.9318, Acc.swivel chair: 0.6563, Acc.boat: 0.9055, Acc.bar: 0.6167, Acc.arcade machine: 0.6931, Acc.hovel: 0.6603, Acc.bus: 0.9642, Acc.towel: 0.8313, Acc.light: 0.6000, Acc.truck: 0.5087, Acc.tower: 0.4985, Acc.chandelier: 0.8472, Acc.awning: 0.4422, Acc.streetlight: 0.3454, Acc.booth: 0.6187, Acc.television receiver: 0.8824, Acc.airplane: 0.6799, Acc.dirt track: 0.2699, Acc.apparel: 0.6896, Acc.pole: 0.2637, Acc.land: 0.0584, Acc.bannister: 0.1114, Acc.escalator: 0.8544, Acc.ottoman: 0.7095, Acc.bottle: 0.6843, Acc.buffet: 0.6639, Acc.poster: 0.3014, Acc.stage: 0.2847, Acc.van: 0.5681, Acc.ship: 0.8172, Acc.fountain: 0.3094, Acc.conveyer belt: 0.9707, Acc.canopy: 0.6270, Acc.washer: 0.9682, Acc.plaything: 0.4020, Acc.swimming pool: 0.7314, Acc.stool: 0.5168, Acc.barrel: 0.6510, Acc.basket: 0.4716, Acc.waterfall: 0.8901, Acc.tent: 0.9894, Acc.bag: 0.2277, Acc.minibike: 0.8749, Acc.cradle: 0.9798, Acc.oven: 0.6290, Acc.ball: 0.6432, Acc.food: 0.4694, Acc.step: 0.0466, Acc.tank: 0.5722, Acc.trade name: 0.3696, Acc.microwave: 0.9541, Acc.pot: 0.5744, Acc.animal: 0.6363, Acc.bicycle: 0.8210, Acc.lake: 0.6359, Acc.dishwasher: 0.6944, Acc.screen: 0.9335, Acc.blanket: 0.1323, Acc.sculpture: 0.8132, Acc.hood: 0.7634, Acc.sconce: 0.4668, Acc.vase: 0.5958, Acc.traffic light: 0.6382, Acc.tray: 0.0449, Acc.ashcan: 0.6203, Acc.fan: 0.7298, Acc.pier: 0.4671, Acc.crt screen: 0.1656, Acc.plate: 0.7256, Acc.monitor: 0.2466, Acc.bulletin board: 0.7069, Acc.shower: 0.0048, Acc.radiator: 0.7785, Acc.glass: 0.1718, Acc.clock: 0.5641, Acc.flag: 0.7121 2023-01-29 21:24:39,749 - mmseg - INFO - Iter [32050/160000] lr: 4.798e-05, eta: 14:59:14, time: 1.371, data_time: 0.969, memory: 12319, decode.loss_ce: 0.3082, decode.acc_seg: 71.5390, aux.loss_ce: 0.1332, aux.acc_seg: 70.9925, loss: 0.4414 2023-01-29 21:24:59,486 - mmseg - INFO - Iter [32100/160000] lr: 4.796e-05, eta: 14:58:48, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3150, decode.acc_seg: 70.5423, aux.loss_ce: 0.1349, aux.acc_seg: 70.2632, loss: 0.4499 2023-01-29 21:25:19,318 - mmseg - INFO - Iter [32150/160000] lr: 4.794e-05, eta: 14:58:22, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2981, decode.acc_seg: 70.4140, aux.loss_ce: 0.1285, aux.acc_seg: 69.9829, loss: 0.4266 2023-01-29 21:25:39,880 - mmseg - INFO - Iter [32200/160000] lr: 4.793e-05, eta: 14:57:59, time: 0.411, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3035, decode.acc_seg: 69.0990, aux.loss_ce: 0.1308, aux.acc_seg: 68.5900, loss: 0.4344 2023-01-29 21:26:00,199 - mmseg - INFO - Iter [32250/160000] lr: 4.791e-05, eta: 14:57:34, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3268, decode.acc_seg: 70.8849, aux.loss_ce: 0.1418, aux.acc_seg: 70.4339, loss: 0.4687 2023-01-29 21:26:19,975 - mmseg - INFO - Iter [32300/160000] lr: 4.789e-05, eta: 14:57:08, time: 0.400, data_time: 0.008, memory: 12319, decode.loss_ce: 0.3035, decode.acc_seg: 73.0706, aux.loss_ce: 0.1325, aux.acc_seg: 72.4031, loss: 0.4360 2023-01-29 21:26:40,326 - mmseg - INFO - Iter [32350/160000] lr: 4.787e-05, eta: 14:56:44, time: 0.407, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3274, decode.acc_seg: 69.6499, aux.loss_ce: 0.1422, aux.acc_seg: 69.1240, loss: 0.4696 2023-01-29 21:27:00,075 - mmseg - INFO - Iter [32400/160000] lr: 4.785e-05, eta: 14:56:18, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3131, decode.acc_seg: 69.5714, aux.loss_ce: 0.1353, aux.acc_seg: 69.0810, loss: 0.4484 2023-01-29 21:27:20,192 - mmseg - INFO - Iter [32450/160000] lr: 4.783e-05, eta: 14:55:53, time: 0.402, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3144, decode.acc_seg: 70.1502, aux.loss_ce: 0.1343, aux.acc_seg: 69.7665, loss: 0.4487 2023-01-29 21:27:40,072 - mmseg - INFO - Iter [32500/160000] lr: 4.781e-05, eta: 14:55:28, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3391, decode.acc_seg: 70.5143, aux.loss_ce: 0.1456, aux.acc_seg: 70.1315, loss: 0.4848 2023-01-29 21:28:00,021 - mmseg - INFO - Iter [32550/160000] lr: 4.779e-05, eta: 14:55:02, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3194, decode.acc_seg: 71.3687, aux.loss_ce: 0.1380, aux.acc_seg: 70.9997, loss: 0.4574 2023-01-29 21:28:19,629 - mmseg - INFO - Iter [32600/160000] lr: 4.778e-05, eta: 14:54:35, time: 0.392, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3168, decode.acc_seg: 71.5162, aux.loss_ce: 0.1363, aux.acc_seg: 71.0760, loss: 0.4531 2023-01-29 21:28:39,629 - mmseg - INFO - Iter [32650/160000] lr: 4.776e-05, eta: 14:54:10, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3243, decode.acc_seg: 70.4037, aux.loss_ce: 0.1389, aux.acc_seg: 69.9633, loss: 0.4632 2023-01-29 21:28:59,115 - mmseg - INFO - Iter [32700/160000] lr: 4.774e-05, eta: 14:53:43, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3368, decode.acc_seg: 71.9017, aux.loss_ce: 0.1452, aux.acc_seg: 71.6021, loss: 0.4821 2023-01-29 21:29:18,809 - mmseg - INFO - Iter [32750/160000] lr: 4.772e-05, eta: 14:53:17, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3169, decode.acc_seg: 70.2540, aux.loss_ce: 0.1358, aux.acc_seg: 69.7329, loss: 0.4527 2023-01-29 21:29:38,769 - mmseg - INFO - Iter [32800/160000] lr: 4.770e-05, eta: 14:52:51, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3329, decode.acc_seg: 70.7215, aux.loss_ce: 0.1428, aux.acc_seg: 70.2398, loss: 0.4757 2023-01-29 21:30:01,076 - mmseg - INFO - Iter [32850/160000] lr: 4.768e-05, eta: 14:52:35, time: 0.446, data_time: 0.049, memory: 12319, decode.loss_ce: 0.3267, decode.acc_seg: 70.8046, aux.loss_ce: 0.1392, aux.acc_seg: 70.4358, loss: 0.4659 2023-01-29 21:30:20,884 - mmseg - INFO - Iter [32900/160000] lr: 4.766e-05, eta: 14:52:09, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3050, decode.acc_seg: 70.6516, aux.loss_ce: 0.1337, aux.acc_seg: 70.0472, loss: 0.4387 2023-01-29 21:30:40,662 - mmseg - INFO - Iter [32950/160000] lr: 4.764e-05, eta: 14:51:43, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3357, decode.acc_seg: 70.2278, aux.loss_ce: 0.1445, aux.acc_seg: 69.7772, loss: 0.4802 2023-01-29 21:31:00,503 - mmseg - INFO - Saving checkpoint at 33000 iterations 2023-01-29 21:31:12,043 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 21:31:12,046 - mmseg - INFO - Iter [33000/160000] lr: 4.763e-05, eta: 14:52:01, time: 0.622, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3210, decode.acc_seg: 70.3489, aux.loss_ce: 0.1377, aux.acc_seg: 69.8433, loss: 0.4588 2023-01-29 21:31:32,959 - mmseg - INFO - Iter [33050/160000] lr: 4.761e-05, eta: 14:51:40, time: 0.423, data_time: 0.009, memory: 12319, decode.loss_ce: 0.3251, decode.acc_seg: 70.4029, aux.loss_ce: 0.1388, aux.acc_seg: 69.9839, loss: 0.4639 2023-01-29 21:31:52,881 - mmseg - INFO - Iter [33100/160000] lr: 4.759e-05, eta: 14:51:15, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3148, decode.acc_seg: 70.8517, aux.loss_ce: 0.1356, aux.acc_seg: 70.3984, loss: 0.4503 2023-01-29 21:32:15,757 - mmseg - INFO - Iter [33150/160000] lr: 4.757e-05, eta: 14:51:00, time: 0.455, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3240, decode.acc_seg: 71.2112, aux.loss_ce: 0.1404, aux.acc_seg: 70.6641, loss: 0.4644 2023-01-29 21:32:35,551 - mmseg - INFO - Iter [33200/160000] lr: 4.755e-05, eta: 14:50:34, time: 0.396, data_time: 0.006, memory: 12319, decode.loss_ce: 0.3007, decode.acc_seg: 71.8340, aux.loss_ce: 0.1293, aux.acc_seg: 71.2042, loss: 0.4301 2023-01-29 21:32:55,317 - mmseg - INFO - Iter [33250/160000] lr: 4.753e-05, eta: 14:50:09, time: 0.398, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2983, decode.acc_seg: 72.0108, aux.loss_ce: 0.1306, aux.acc_seg: 71.5371, loss: 0.4289 2023-01-29 21:33:15,338 - mmseg - INFO - Iter [33300/160000] lr: 4.751e-05, eta: 14:49:43, time: 0.400, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2994, decode.acc_seg: 69.7209, aux.loss_ce: 0.1296, aux.acc_seg: 69.2584, loss: 0.4289 2023-01-29 21:33:34,961 - mmseg - INFO - Iter [33350/160000] lr: 4.749e-05, eta: 14:49:17, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2975, decode.acc_seg: 71.3242, aux.loss_ce: 0.1288, aux.acc_seg: 70.8984, loss: 0.4263 2023-01-29 21:33:54,578 - mmseg - INFO - Iter [33400/160000] lr: 4.748e-05, eta: 14:48:50, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3060, decode.acc_seg: 70.6527, aux.loss_ce: 0.1328, aux.acc_seg: 70.1713, loss: 0.4388 2023-01-29 21:34:14,334 - mmseg - INFO - Iter [33450/160000] lr: 4.746e-05, eta: 14:48:24, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3112, decode.acc_seg: 71.0219, aux.loss_ce: 0.1348, aux.acc_seg: 70.5210, loss: 0.4459 2023-01-29 21:34:33,892 - mmseg - INFO - Iter [33500/160000] lr: 4.744e-05, eta: 14:47:58, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3138, decode.acc_seg: 69.4865, aux.loss_ce: 0.1359, aux.acc_seg: 69.0199, loss: 0.4498 2023-01-29 21:34:53,550 - mmseg - INFO - Iter [33550/160000] lr: 4.742e-05, eta: 14:47:31, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3094, decode.acc_seg: 71.8392, aux.loss_ce: 0.1319, aux.acc_seg: 71.3694, loss: 0.4412 2023-01-29 21:35:13,464 - mmseg - INFO - Iter [33600/160000] lr: 4.740e-05, eta: 14:47:06, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3314, decode.acc_seg: 69.8578, aux.loss_ce: 0.1433, aux.acc_seg: 69.2343, loss: 0.4748 2023-01-29 21:35:33,375 - mmseg - INFO - Iter [33650/160000] lr: 4.738e-05, eta: 14:46:40, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3194, decode.acc_seg: 70.7753, aux.loss_ce: 0.1378, aux.acc_seg: 70.2981, loss: 0.4572 2023-01-29 21:35:53,124 - mmseg - INFO - Iter [33700/160000] lr: 4.736e-05, eta: 14:46:15, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3239, decode.acc_seg: 72.1848, aux.loss_ce: 0.1391, aux.acc_seg: 71.7294, loss: 0.4630 2023-01-29 21:36:13,091 - mmseg - INFO - Iter [33750/160000] lr: 4.734e-05, eta: 14:45:50, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3075, decode.acc_seg: 70.3950, aux.loss_ce: 0.1319, aux.acc_seg: 69.9732, loss: 0.4394 2023-01-29 21:36:32,885 - mmseg - INFO - Iter [33800/160000] lr: 4.733e-05, eta: 14:45:24, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3011, decode.acc_seg: 70.2618, aux.loss_ce: 0.1307, aux.acc_seg: 69.7326, loss: 0.4318 2023-01-29 21:36:52,852 - mmseg - INFO - Iter [33850/160000] lr: 4.731e-05, eta: 14:44:59, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3168, decode.acc_seg: 70.7824, aux.loss_ce: 0.1371, aux.acc_seg: 70.1775, loss: 0.4539 2023-01-29 21:37:12,674 - mmseg - INFO - Iter [33900/160000] lr: 4.729e-05, eta: 14:44:33, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3130, decode.acc_seg: 71.0250, aux.loss_ce: 0.1354, aux.acc_seg: 70.5505, loss: 0.4484 2023-01-29 21:37:32,309 - mmseg - INFO - Iter [33950/160000] lr: 4.727e-05, eta: 14:44:07, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3206, decode.acc_seg: 70.3272, aux.loss_ce: 0.1367, aux.acc_seg: 69.9803, loss: 0.4573 2023-01-29 21:37:51,905 - mmseg - INFO - Saving checkpoint at 34000 iterations 2023-01-29 21:38:04,398 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 21:38:04,406 - mmseg - INFO - Iter [34000/160000] lr: 4.725e-05, eta: 14:44:26, time: 0.640, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3405, decode.acc_seg: 71.7177, aux.loss_ce: 0.1446, aux.acc_seg: 71.3131, loss: 0.4851 2023-01-29 21:38:24,786 - mmseg - INFO - Iter [34050/160000] lr: 4.723e-05, eta: 14:44:03, time: 0.409, data_time: 0.006, memory: 12319, decode.loss_ce: 0.3171, decode.acc_seg: 71.1799, aux.loss_ce: 0.1365, aux.acc_seg: 70.8276, loss: 0.4535 2023-01-29 21:38:44,370 - mmseg - INFO - Iter [34100/160000] lr: 4.721e-05, eta: 14:43:37, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2953, decode.acc_seg: 70.2071, aux.loss_ce: 0.1278, aux.acc_seg: 69.7232, loss: 0.4231 2023-01-29 21:39:07,435 - mmseg - INFO - Iter [34150/160000] lr: 4.719e-05, eta: 14:43:23, time: 0.461, data_time: 0.054, memory: 12319, decode.loss_ce: 0.3109, decode.acc_seg: 71.8123, aux.loss_ce: 0.1341, aux.acc_seg: 71.2992, loss: 0.4450 2023-01-29 21:39:27,449 - mmseg - INFO - Iter [34200/160000] lr: 4.718e-05, eta: 14:42:58, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3171, decode.acc_seg: 71.6954, aux.loss_ce: 0.1378, aux.acc_seg: 71.0685, loss: 0.4549 2023-01-29 21:39:47,006 - mmseg - INFO - Iter [34250/160000] lr: 4.716e-05, eta: 14:42:32, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3179, decode.acc_seg: 69.7321, aux.loss_ce: 0.1348, aux.acc_seg: 69.2927, loss: 0.4528 2023-01-29 21:40:06,694 - mmseg - INFO - Iter [34300/160000] lr: 4.714e-05, eta: 14:42:06, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3120, decode.acc_seg: 72.0619, aux.loss_ce: 0.1344, aux.acc_seg: 71.6087, loss: 0.4464 2023-01-29 21:40:26,372 - mmseg - INFO - Iter [34350/160000] lr: 4.712e-05, eta: 14:41:39, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2998, decode.acc_seg: 69.9175, aux.loss_ce: 0.1286, aux.acc_seg: 69.4673, loss: 0.4284 2023-01-29 21:40:46,599 - mmseg - INFO - Iter [34400/160000] lr: 4.710e-05, eta: 14:41:15, time: 0.405, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3194, decode.acc_seg: 72.2433, aux.loss_ce: 0.1345, aux.acc_seg: 71.8217, loss: 0.4539 2023-01-29 21:41:06,268 - mmseg - INFO - Iter [34450/160000] lr: 4.708e-05, eta: 14:40:49, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3124, decode.acc_seg: 69.6952, aux.loss_ce: 0.1345, aux.acc_seg: 69.0427, loss: 0.4469 2023-01-29 21:41:25,861 - mmseg - INFO - Iter [34500/160000] lr: 4.706e-05, eta: 14:40:23, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3221, decode.acc_seg: 70.4965, aux.loss_ce: 0.1394, aux.acc_seg: 69.8331, loss: 0.4616 2023-01-29 21:41:45,561 - mmseg - INFO - Iter [34550/160000] lr: 4.704e-05, eta: 14:39:57, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3108, decode.acc_seg: 70.1080, aux.loss_ce: 0.1329, aux.acc_seg: 69.6149, loss: 0.4437 2023-01-29 21:42:05,177 - mmseg - INFO - Iter [34600/160000] lr: 4.703e-05, eta: 14:39:31, time: 0.392, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3168, decode.acc_seg: 68.9814, aux.loss_ce: 0.1361, aux.acc_seg: 68.5388, loss: 0.4529 2023-01-29 21:42:25,068 - mmseg - INFO - Iter [34650/160000] lr: 4.701e-05, eta: 14:39:06, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3029, decode.acc_seg: 70.5945, aux.loss_ce: 0.1338, aux.acc_seg: 69.9090, loss: 0.4367 2023-01-29 21:42:45,064 - mmseg - INFO - Iter [34700/160000] lr: 4.699e-05, eta: 14:38:41, time: 0.400, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3016, decode.acc_seg: 71.4602, aux.loss_ce: 0.1304, aux.acc_seg: 71.0497, loss: 0.4320 2023-01-29 21:43:04,912 - mmseg - INFO - Iter [34750/160000] lr: 4.697e-05, eta: 14:38:15, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3151, decode.acc_seg: 70.9695, aux.loss_ce: 0.1369, aux.acc_seg: 70.4040, loss: 0.4520 2023-01-29 21:43:24,648 - mmseg - INFO - Iter [34800/160000] lr: 4.695e-05, eta: 14:37:50, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3072, decode.acc_seg: 70.2794, aux.loss_ce: 0.1333, aux.acc_seg: 69.9277, loss: 0.4406 2023-01-29 21:43:44,315 - mmseg - INFO - Iter [34850/160000] lr: 4.693e-05, eta: 14:37:24, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2905, decode.acc_seg: 71.2788, aux.loss_ce: 0.1240, aux.acc_seg: 70.8732, loss: 0.4145 2023-01-29 21:44:03,779 - mmseg - INFO - Iter [34900/160000] lr: 4.691e-05, eta: 14:36:57, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3326, decode.acc_seg: 68.9574, aux.loss_ce: 0.1434, aux.acc_seg: 68.4985, loss: 0.4760 2023-01-29 21:44:26,240 - mmseg - INFO - Iter [34950/160000] lr: 4.689e-05, eta: 14:36:41, time: 0.449, data_time: 0.044, memory: 12319, decode.loss_ce: 0.2868, decode.acc_seg: 72.2700, aux.loss_ce: 0.1236, aux.acc_seg: 71.9047, loss: 0.4104 2023-01-29 21:44:45,864 - mmseg - INFO - Saving checkpoint at 35000 iterations 2023-01-29 21:44:56,008 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 21:44:56,008 - mmseg - INFO - Iter [35000/160000] lr: 4.688e-05, eta: 14:36:51, time: 0.595, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3177, decode.acc_seg: 69.4510, aux.loss_ce: 0.1361, aux.acc_seg: 69.0230, loss: 0.4538 2023-01-29 21:45:16,680 - mmseg - INFO - Iter [35050/160000] lr: 4.686e-05, eta: 14:36:29, time: 0.414, data_time: 0.008, memory: 12319, decode.loss_ce: 0.3017, decode.acc_seg: 71.5076, aux.loss_ce: 0.1287, aux.acc_seg: 71.0838, loss: 0.4304 2023-01-29 21:45:36,674 - mmseg - INFO - Iter [35100/160000] lr: 4.684e-05, eta: 14:36:04, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3078, decode.acc_seg: 73.1859, aux.loss_ce: 0.1325, aux.acc_seg: 72.5133, loss: 0.4403 2023-01-29 21:45:56,219 - mmseg - INFO - Iter [35150/160000] lr: 4.682e-05, eta: 14:35:38, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3136, decode.acc_seg: 70.5501, aux.loss_ce: 0.1329, aux.acc_seg: 70.2654, loss: 0.4466 2023-01-29 21:46:15,831 - mmseg - INFO - Iter [35200/160000] lr: 4.680e-05, eta: 14:35:12, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3150, decode.acc_seg: 71.0619, aux.loss_ce: 0.1363, aux.acc_seg: 70.4912, loss: 0.4512 2023-01-29 21:46:35,737 - mmseg - INFO - Iter [35250/160000] lr: 4.678e-05, eta: 14:34:47, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3255, decode.acc_seg: 69.2853, aux.loss_ce: 0.1399, aux.acc_seg: 68.7002, loss: 0.4655 2023-01-29 21:46:55,762 - mmseg - INFO - Iter [35300/160000] lr: 4.676e-05, eta: 14:34:22, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3207, decode.acc_seg: 70.9209, aux.loss_ce: 0.1388, aux.acc_seg: 70.2288, loss: 0.4595 2023-01-29 21:47:15,594 - mmseg - INFO - Iter [35350/160000] lr: 4.674e-05, eta: 14:33:57, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3033, decode.acc_seg: 70.6497, aux.loss_ce: 0.1299, aux.acc_seg: 70.2039, loss: 0.4332 2023-01-29 21:47:37,965 - mmseg - INFO - Iter [35400/160000] lr: 4.673e-05, eta: 14:33:41, time: 0.448, data_time: 0.051, memory: 12319, decode.loss_ce: 0.2975, decode.acc_seg: 70.3368, aux.loss_ce: 0.1285, aux.acc_seg: 69.8376, loss: 0.4259 2023-01-29 21:47:58,141 - mmseg - INFO - Iter [35450/160000] lr: 4.671e-05, eta: 14:33:15, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3031, decode.acc_seg: 71.3081, aux.loss_ce: 0.1305, aux.acc_seg: 70.7957, loss: 0.4336 2023-01-29 21:48:18,111 - mmseg - INFO - Iter [35500/160000] lr: 4.669e-05, eta: 14:32:52, time: 0.408, data_time: 0.012, memory: 12319, decode.loss_ce: 0.2765, decode.acc_seg: 70.9590, aux.loss_ce: 0.1208, aux.acc_seg: 70.4257, loss: 0.3973 2023-01-29 21:48:37,917 - mmseg - INFO - Iter [35550/160000] lr: 4.667e-05, eta: 14:32:26, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2921, decode.acc_seg: 71.1665, aux.loss_ce: 0.1268, aux.acc_seg: 70.5988, loss: 0.4189 2023-01-29 21:48:57,771 - mmseg - INFO - Iter [35600/160000] lr: 4.665e-05, eta: 14:32:01, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2940, decode.acc_seg: 70.5360, aux.loss_ce: 0.1280, aux.acc_seg: 70.1190, loss: 0.4220 2023-01-29 21:49:17,629 - mmseg - INFO - Iter [35650/160000] lr: 4.663e-05, eta: 14:31:36, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2734, decode.acc_seg: 72.5549, aux.loss_ce: 0.1193, aux.acc_seg: 72.0533, loss: 0.3927 2023-01-29 21:49:37,451 - mmseg - INFO - Iter [35700/160000] lr: 4.661e-05, eta: 14:31:11, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2977, decode.acc_seg: 72.3480, aux.loss_ce: 0.1281, aux.acc_seg: 71.9495, loss: 0.4258 2023-01-29 21:49:57,542 - mmseg - INFO - Iter [35750/160000] lr: 4.659e-05, eta: 14:30:46, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3182, decode.acc_seg: 70.3560, aux.loss_ce: 0.1366, aux.acc_seg: 69.8981, loss: 0.4548 2023-01-29 21:50:17,653 - mmseg - INFO - Iter [35800/160000] lr: 4.658e-05, eta: 14:30:22, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3030, decode.acc_seg: 71.1020, aux.loss_ce: 0.1301, aux.acc_seg: 70.6376, loss: 0.4331 2023-01-29 21:50:37,698 - mmseg - INFO - Iter [35850/160000] lr: 4.656e-05, eta: 14:29:58, time: 0.401, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3007, decode.acc_seg: 71.5281, aux.loss_ce: 0.1305, aux.acc_seg: 71.0893, loss: 0.4312 2023-01-29 21:50:57,425 - mmseg - INFO - Iter [35900/160000] lr: 4.654e-05, eta: 14:29:32, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2816, decode.acc_seg: 70.0680, aux.loss_ce: 0.1221, aux.acc_seg: 69.6914, loss: 0.4036 2023-01-29 21:51:17,714 - mmseg - INFO - Iter [35950/160000] lr: 4.652e-05, eta: 14:29:08, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2928, decode.acc_seg: 70.3848, aux.loss_ce: 0.1271, aux.acc_seg: 69.8179, loss: 0.4199 2023-01-29 21:51:37,529 - mmseg - INFO - Saving checkpoint at 36000 iterations 2023-01-29 21:51:48,515 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 21:51:48,521 - mmseg - INFO - Iter [36000/160000] lr: 4.650e-05, eta: 14:29:22, time: 0.618, data_time: 0.007, memory: 12319, decode.loss_ce: 0.3032, decode.acc_seg: 70.2637, aux.loss_ce: 0.1315, aux.acc_seg: 69.8288, loss: 0.4348 2023-01-29 21:52:09,101 - mmseg - INFO - Iter [36050/160000] lr: 4.648e-05, eta: 14:28:59, time: 0.412, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3128, decode.acc_seg: 70.6111, aux.loss_ce: 0.1334, aux.acc_seg: 70.2058, loss: 0.4462 2023-01-29 21:52:28,918 - mmseg - INFO - Iter [36100/160000] lr: 4.646e-05, eta: 14:28:34, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3117, decode.acc_seg: 70.4865, aux.loss_ce: 0.1336, aux.acc_seg: 70.0147, loss: 0.4453 2023-01-29 21:52:48,594 - mmseg - INFO - Iter [36150/160000] lr: 4.644e-05, eta: 14:28:08, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2987, decode.acc_seg: 71.5488, aux.loss_ce: 0.1285, aux.acc_seg: 71.0247, loss: 0.4272 2023-01-29 21:53:08,312 - mmseg - INFO - Iter [36200/160000] lr: 4.643e-05, eta: 14:27:43, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3302, decode.acc_seg: 70.4998, aux.loss_ce: 0.1414, aux.acc_seg: 70.0130, loss: 0.4716 2023-01-29 21:53:28,281 - mmseg - INFO - Iter [36250/160000] lr: 4.641e-05, eta: 14:27:18, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3046, decode.acc_seg: 70.7421, aux.loss_ce: 0.1328, aux.acc_seg: 70.0918, loss: 0.4374 2023-01-29 21:53:47,853 - mmseg - INFO - Iter [36300/160000] lr: 4.639e-05, eta: 14:26:52, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3143, decode.acc_seg: 70.9307, aux.loss_ce: 0.1345, aux.acc_seg: 70.5501, loss: 0.4488 2023-01-29 21:54:07,611 - mmseg - INFO - Iter [36350/160000] lr: 4.637e-05, eta: 14:26:27, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3104, decode.acc_seg: 71.4571, aux.loss_ce: 0.1335, aux.acc_seg: 71.0180, loss: 0.4439 2023-01-29 21:54:27,246 - mmseg - INFO - Iter [36400/160000] lr: 4.635e-05, eta: 14:26:01, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2865, decode.acc_seg: 72.4807, aux.loss_ce: 0.1233, aux.acc_seg: 72.0581, loss: 0.4098 2023-01-29 21:54:47,071 - mmseg - INFO - Iter [36450/160000] lr: 4.633e-05, eta: 14:25:36, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2928, decode.acc_seg: 71.2692, aux.loss_ce: 0.1260, aux.acc_seg: 70.7515, loss: 0.4187 2023-01-29 21:55:06,860 - mmseg - INFO - Iter [36500/160000] lr: 4.631e-05, eta: 14:25:10, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3163, decode.acc_seg: 69.8888, aux.loss_ce: 0.1353, aux.acc_seg: 69.3735, loss: 0.4516 2023-01-29 21:55:26,619 - mmseg - INFO - Iter [36550/160000] lr: 4.629e-05, eta: 14:24:45, time: 0.395, data_time: 0.007, memory: 12319, decode.loss_ce: 0.3171, decode.acc_seg: 70.7614, aux.loss_ce: 0.1367, aux.acc_seg: 70.2127, loss: 0.4538 2023-01-29 21:55:46,182 - mmseg - INFO - Iter [36600/160000] lr: 4.628e-05, eta: 14:24:19, time: 0.393, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2949, decode.acc_seg: 70.4876, aux.loss_ce: 0.1271, aux.acc_seg: 70.1522, loss: 0.4219 2023-01-29 21:56:09,066 - mmseg - INFO - Iter [36650/160000] lr: 4.626e-05, eta: 14:24:05, time: 0.458, data_time: 0.056, memory: 12319, decode.loss_ce: 0.2916, decode.acc_seg: 70.8562, aux.loss_ce: 0.1277, aux.acc_seg: 70.1750, loss: 0.4193 2023-01-29 21:56:28,838 - mmseg - INFO - Iter [36700/160000] lr: 4.624e-05, eta: 14:23:40, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2820, decode.acc_seg: 71.3507, aux.loss_ce: 0.1219, aux.acc_seg: 70.8664, loss: 0.4039 2023-01-29 21:56:48,595 - mmseg - INFO - Iter [36750/160000] lr: 4.622e-05, eta: 14:23:14, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2934, decode.acc_seg: 72.2434, aux.loss_ce: 0.1275, aux.acc_seg: 71.6466, loss: 0.4210 2023-01-29 21:57:08,396 - mmseg - INFO - Iter [36800/160000] lr: 4.620e-05, eta: 14:22:49, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2870, decode.acc_seg: 72.0824, aux.loss_ce: 0.1240, aux.acc_seg: 71.6014, loss: 0.4110 2023-01-29 21:57:28,159 - mmseg - INFO - Iter [36850/160000] lr: 4.618e-05, eta: 14:22:24, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2948, decode.acc_seg: 69.8508, aux.loss_ce: 0.1278, aux.acc_seg: 69.3943, loss: 0.4226 2023-01-29 21:57:47,839 - mmseg - INFO - Iter [36900/160000] lr: 4.616e-05, eta: 14:21:59, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2934, decode.acc_seg: 71.8498, aux.loss_ce: 0.1274, aux.acc_seg: 71.2387, loss: 0.4208 2023-01-29 21:58:07,678 - mmseg - INFO - Iter [36950/160000] lr: 4.614e-05, eta: 14:21:34, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3069, decode.acc_seg: 71.7267, aux.loss_ce: 0.1334, aux.acc_seg: 71.2727, loss: 0.4402 2023-01-29 21:58:27,469 - mmseg - INFO - Saving checkpoint at 37000 iterations 2023-01-29 21:58:38,648 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 21:58:38,654 - mmseg - INFO - Iter [37000/160000] lr: 4.613e-05, eta: 14:21:46, time: 0.617, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2886, decode.acc_seg: 71.0283, aux.loss_ce: 0.1252, aux.acc_seg: 70.4386, loss: 0.4138 2023-01-29 21:58:59,920 - mmseg - INFO - Iter [37050/160000] lr: 4.611e-05, eta: 14:21:26, time: 0.427, data_time: 0.016, memory: 12319, decode.loss_ce: 0.2781, decode.acc_seg: 71.9316, aux.loss_ce: 0.1218, aux.acc_seg: 71.3745, loss: 0.3998 2023-01-29 21:59:19,848 - mmseg - INFO - Iter [37100/160000] lr: 4.609e-05, eta: 14:21:01, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3036, decode.acc_seg: 72.2587, aux.loss_ce: 0.1304, aux.acc_seg: 71.8963, loss: 0.4339 2023-01-29 21:59:39,627 - mmseg - INFO - Iter [37150/160000] lr: 4.607e-05, eta: 14:20:36, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3109, decode.acc_seg: 70.6787, aux.loss_ce: 0.1345, aux.acc_seg: 70.0460, loss: 0.4454 2023-01-29 21:59:59,475 - mmseg - INFO - Iter [37200/160000] lr: 4.605e-05, eta: 14:20:11, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3221, decode.acc_seg: 69.3335, aux.loss_ce: 0.1377, aux.acc_seg: 68.9314, loss: 0.4598 2023-01-29 22:00:19,082 - mmseg - INFO - Iter [37250/160000] lr: 4.603e-05, eta: 14:19:45, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3072, decode.acc_seg: 71.5702, aux.loss_ce: 0.1326, aux.acc_seg: 71.1483, loss: 0.4398 2023-01-29 22:00:38,906 - mmseg - INFO - Iter [37300/160000] lr: 4.601e-05, eta: 14:19:21, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3235, decode.acc_seg: 70.6763, aux.loss_ce: 0.1393, aux.acc_seg: 70.1622, loss: 0.4628 2023-01-29 22:00:58,697 - mmseg - INFO - Iter [37350/160000] lr: 4.599e-05, eta: 14:18:55, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2862, decode.acc_seg: 72.6049, aux.loss_ce: 0.1250, aux.acc_seg: 71.9391, loss: 0.4113 2023-01-29 22:01:18,449 - mmseg - INFO - Iter [37400/160000] lr: 4.598e-05, eta: 14:18:30, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3066, decode.acc_seg: 70.9476, aux.loss_ce: 0.1324, aux.acc_seg: 70.4138, loss: 0.4389 2023-01-29 22:01:38,225 - mmseg - INFO - Iter [37450/160000] lr: 4.596e-05, eta: 14:18:05, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3250, decode.acc_seg: 69.3714, aux.loss_ce: 0.1383, aux.acc_seg: 68.9913, loss: 0.4633 2023-01-29 22:01:58,034 - mmseg - INFO - Iter [37500/160000] lr: 4.594e-05, eta: 14:17:40, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3040, decode.acc_seg: 70.0794, aux.loss_ce: 0.1324, aux.acc_seg: 69.5029, loss: 0.4364 2023-01-29 22:02:17,702 - mmseg - INFO - Iter [37550/160000] lr: 4.592e-05, eta: 14:17:15, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3004, decode.acc_seg: 71.0645, aux.loss_ce: 0.1291, aux.acc_seg: 70.5605, loss: 0.4295 2023-01-29 22:02:37,665 - mmseg - INFO - Iter [37600/160000] lr: 4.590e-05, eta: 14:16:51, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2963, decode.acc_seg: 70.4374, aux.loss_ce: 0.1278, aux.acc_seg: 70.0815, loss: 0.4241 2023-01-29 22:02:57,732 - mmseg - INFO - Iter [37650/160000] lr: 4.588e-05, eta: 14:16:27, time: 0.401, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3111, decode.acc_seg: 71.2358, aux.loss_ce: 0.1333, aux.acc_seg: 70.6881, loss: 0.4443 2023-01-29 22:03:17,576 - mmseg - INFO - Iter [37700/160000] lr: 4.586e-05, eta: 14:16:02, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2833, decode.acc_seg: 70.8882, aux.loss_ce: 0.1239, aux.acc_seg: 70.2981, loss: 0.4072 2023-01-29 22:03:37,304 - mmseg - INFO - Iter [37750/160000] lr: 4.584e-05, eta: 14:15:37, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2902, decode.acc_seg: 69.4781, aux.loss_ce: 0.1255, aux.acc_seg: 68.7457, loss: 0.4157 2023-01-29 22:03:57,647 - mmseg - INFO - Iter [37800/160000] lr: 4.583e-05, eta: 14:15:13, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3126, decode.acc_seg: 71.6991, aux.loss_ce: 0.1341, aux.acc_seg: 71.2149, loss: 0.4467 2023-01-29 22:04:18,808 - mmseg - INFO - Iter [37850/160000] lr: 4.581e-05, eta: 14:14:53, time: 0.426, data_time: 0.033, memory: 12319, decode.loss_ce: 0.3170, decode.acc_seg: 70.2663, aux.loss_ce: 0.1358, aux.acc_seg: 69.7385, loss: 0.4528 2023-01-29 22:04:41,608 - mmseg - INFO - Iter [37900/160000] lr: 4.579e-05, eta: 14:14:38, time: 0.456, data_time: 0.055, memory: 12319, decode.loss_ce: 0.3026, decode.acc_seg: 70.5806, aux.loss_ce: 0.1310, aux.acc_seg: 70.0716, loss: 0.4336 2023-01-29 22:05:01,637 - mmseg - INFO - Iter [37950/160000] lr: 4.577e-05, eta: 14:14:14, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3053, decode.acc_seg: 70.9395, aux.loss_ce: 0.1330, aux.acc_seg: 70.2961, loss: 0.4384 2023-01-29 22:05:21,690 - mmseg - INFO - Saving checkpoint at 38000 iterations 2023-01-29 22:05:33,052 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 22:05:33,052 - mmseg - INFO - Iter [38000/160000] lr: 4.575e-05, eta: 14:14:26, time: 0.628, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2938, decode.acc_seg: 72.8233, aux.loss_ce: 0.1261, aux.acc_seg: 72.3401, loss: 0.4199 2023-01-29 22:05:53,062 - mmseg - INFO - Iter [38050/160000] lr: 4.573e-05, eta: 14:14:02, time: 0.400, data_time: 0.006, memory: 12319, decode.loss_ce: 0.3015, decode.acc_seg: 71.7358, aux.loss_ce: 0.1297, aux.acc_seg: 71.1474, loss: 0.4312 2023-01-29 22:06:12,785 - mmseg - INFO - Iter [38100/160000] lr: 4.571e-05, eta: 14:13:37, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3015, decode.acc_seg: 71.3664, aux.loss_ce: 0.1292, aux.acc_seg: 70.8810, loss: 0.4307 2023-01-29 22:06:32,693 - mmseg - INFO - Iter [38150/160000] lr: 4.569e-05, eta: 14:13:12, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3071, decode.acc_seg: 70.0168, aux.loss_ce: 0.1317, aux.acc_seg: 69.5747, loss: 0.4388 2023-01-29 22:06:52,820 - mmseg - INFO - Iter [38200/160000] lr: 4.568e-05, eta: 14:12:49, time: 0.403, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3093, decode.acc_seg: 72.5092, aux.loss_ce: 0.1314, aux.acc_seg: 72.0389, loss: 0.4406 2023-01-29 22:07:13,045 - mmseg - INFO - Iter [38250/160000] lr: 4.566e-05, eta: 14:12:25, time: 0.405, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2753, decode.acc_seg: 72.7533, aux.loss_ce: 0.1209, aux.acc_seg: 72.1566, loss: 0.3962 2023-01-29 22:07:32,726 - mmseg - INFO - Iter [38300/160000] lr: 4.564e-05, eta: 14:12:00, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2877, decode.acc_seg: 73.5733, aux.loss_ce: 0.1252, aux.acc_seg: 73.0878, loss: 0.4129 2023-01-29 22:07:52,350 - mmseg - INFO - Iter [38350/160000] lr: 4.562e-05, eta: 14:11:35, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2968, decode.acc_seg: 71.7412, aux.loss_ce: 0.1285, aux.acc_seg: 71.2712, loss: 0.4253 2023-01-29 22:08:12,103 - mmseg - INFO - Iter [38400/160000] lr: 4.560e-05, eta: 14:11:10, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2916, decode.acc_seg: 71.5771, aux.loss_ce: 0.1266, aux.acc_seg: 71.0520, loss: 0.4182 2023-01-29 22:08:32,017 - mmseg - INFO - Iter [38450/160000] lr: 4.558e-05, eta: 14:10:45, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2959, decode.acc_seg: 71.8203, aux.loss_ce: 0.1260, aux.acc_seg: 71.3447, loss: 0.4219 2023-01-29 22:08:51,860 - mmseg - INFO - Iter [38500/160000] lr: 4.556e-05, eta: 14:10:21, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2930, decode.acc_seg: 72.2436, aux.loss_ce: 0.1254, aux.acc_seg: 71.7079, loss: 0.4184 2023-01-29 22:09:11,424 - mmseg - INFO - Iter [38550/160000] lr: 4.554e-05, eta: 14:09:55, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2955, decode.acc_seg: 70.8443, aux.loss_ce: 0.1281, aux.acc_seg: 70.2788, loss: 0.4236 2023-01-29 22:09:31,166 - mmseg - INFO - Iter [38600/160000] lr: 4.553e-05, eta: 14:09:30, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2973, decode.acc_seg: 72.2823, aux.loss_ce: 0.1288, aux.acc_seg: 71.8024, loss: 0.4261 2023-01-29 22:09:51,123 - mmseg - INFO - Iter [38650/160000] lr: 4.551e-05, eta: 14:09:06, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2921, decode.acc_seg: 71.8426, aux.loss_ce: 0.1251, aux.acc_seg: 71.4659, loss: 0.4172 2023-01-29 22:10:10,779 - mmseg - INFO - Iter [38700/160000] lr: 4.549e-05, eta: 14:08:41, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3042, decode.acc_seg: 70.8688, aux.loss_ce: 0.1305, aux.acc_seg: 70.4055, loss: 0.4347 2023-01-29 22:10:30,881 - mmseg - INFO - Iter [38750/160000] lr: 4.547e-05, eta: 14:08:16, time: 0.400, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3037, decode.acc_seg: 70.8565, aux.loss_ce: 0.1313, aux.acc_seg: 70.2847, loss: 0.4350 2023-01-29 22:10:50,860 - mmseg - INFO - Iter [38800/160000] lr: 4.545e-05, eta: 14:07:52, time: 0.400, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2969, decode.acc_seg: 71.4779, aux.loss_ce: 0.1279, aux.acc_seg: 70.7892, loss: 0.4248 2023-01-29 22:11:10,521 - mmseg - INFO - Iter [38850/160000] lr: 4.543e-05, eta: 14:07:27, time: 0.393, data_time: 0.006, memory: 12319, decode.loss_ce: 0.3048, decode.acc_seg: 70.9331, aux.loss_ce: 0.1328, aux.acc_seg: 70.2657, loss: 0.4375 2023-01-29 22:11:30,164 - mmseg - INFO - Iter [38900/160000] lr: 4.541e-05, eta: 14:07:02, time: 0.395, data_time: 0.006, memory: 12319, decode.loss_ce: 0.3033, decode.acc_seg: 70.3735, aux.loss_ce: 0.1324, aux.acc_seg: 69.8731, loss: 0.4357 2023-01-29 22:11:49,604 - mmseg - INFO - Iter [38950/160000] lr: 4.539e-05, eta: 14:06:37, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3026, decode.acc_seg: 71.3084, aux.loss_ce: 0.1311, aux.acc_seg: 70.8858, loss: 0.4337 2023-01-29 22:12:09,374 - mmseg - INFO - Saving checkpoint at 39000 iterations 2023-01-29 22:12:19,860 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 22:12:19,860 - mmseg - INFO - Iter [39000/160000] lr: 4.538e-05, eta: 14:06:44, time: 0.605, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3002, decode.acc_seg: 70.6858, aux.loss_ce: 0.1303, aux.acc_seg: 70.1678, loss: 0.4305 2023-01-29 22:12:40,930 - mmseg - INFO - Iter [39050/160000] lr: 4.536e-05, eta: 14:06:24, time: 0.422, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2892, decode.acc_seg: 71.1197, aux.loss_ce: 0.1265, aux.acc_seg: 70.4472, loss: 0.4158 2023-01-29 22:13:00,709 - mmseg - INFO - Iter [39100/160000] lr: 4.534e-05, eta: 14:05:59, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2805, decode.acc_seg: 71.9453, aux.loss_ce: 0.1238, aux.acc_seg: 71.3861, loss: 0.4043 2023-01-29 22:13:20,759 - mmseg - INFO - Iter [39150/160000] lr: 4.532e-05, eta: 14:05:35, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3139, decode.acc_seg: 71.0164, aux.loss_ce: 0.1348, aux.acc_seg: 70.5102, loss: 0.4487 2023-01-29 22:13:42,979 - mmseg - INFO - Iter [39200/160000] lr: 4.530e-05, eta: 14:05:18, time: 0.444, data_time: 0.052, memory: 12319, decode.loss_ce: 0.2929, decode.acc_seg: 72.3885, aux.loss_ce: 0.1276, aux.acc_seg: 71.7519, loss: 0.4205 2023-01-29 22:14:02,764 - mmseg - INFO - Iter [39250/160000] lr: 4.528e-05, eta: 14:04:53, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2867, decode.acc_seg: 70.9297, aux.loss_ce: 0.1236, aux.acc_seg: 70.4580, loss: 0.4103 2023-01-29 22:14:22,539 - mmseg - INFO - Iter [39300/160000] lr: 4.526e-05, eta: 14:04:28, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2944, decode.acc_seg: 72.6051, aux.loss_ce: 0.1284, aux.acc_seg: 72.0226, loss: 0.4228 2023-01-29 22:14:48,520 - mmseg - INFO - Iter [39350/160000] lr: 4.524e-05, eta: 14:04:23, time: 0.519, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2875, decode.acc_seg: 71.2188, aux.loss_ce: 0.1260, aux.acc_seg: 70.7571, loss: 0.4135 2023-01-29 22:15:08,212 - mmseg - INFO - Iter [39400/160000] lr: 4.523e-05, eta: 14:03:58, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2887, decode.acc_seg: 69.8806, aux.loss_ce: 0.1258, aux.acc_seg: 69.2944, loss: 0.4145 2023-01-29 22:15:28,824 - mmseg - INFO - Iter [39450/160000] lr: 4.521e-05, eta: 14:03:36, time: 0.412, data_time: 0.018, memory: 12319, decode.loss_ce: 0.2737, decode.acc_seg: 71.4821, aux.loss_ce: 0.1188, aux.acc_seg: 70.9215, loss: 0.3925 2023-01-29 22:15:48,945 - mmseg - INFO - Iter [39500/160000] lr: 4.519e-05, eta: 14:03:12, time: 0.402, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2758, decode.acc_seg: 71.9811, aux.loss_ce: 0.1183, aux.acc_seg: 71.5357, loss: 0.3941 2023-01-29 22:16:08,987 - mmseg - INFO - Iter [39550/160000] lr: 4.517e-05, eta: 14:02:48, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2783, decode.acc_seg: 71.2844, aux.loss_ce: 0.1214, aux.acc_seg: 70.8286, loss: 0.3998 2023-01-29 22:16:28,942 - mmseg - INFO - Iter [39600/160000] lr: 4.515e-05, eta: 14:02:24, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2911, decode.acc_seg: 72.7719, aux.loss_ce: 0.1253, aux.acc_seg: 72.2463, loss: 0.4163 2023-01-29 22:16:48,922 - mmseg - INFO - Iter [39650/160000] lr: 4.513e-05, eta: 14:02:00, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2855, decode.acc_seg: 72.3723, aux.loss_ce: 0.1245, aux.acc_seg: 71.8439, loss: 0.4100 2023-01-29 22:17:09,032 - mmseg - INFO - Iter [39700/160000] lr: 4.511e-05, eta: 14:01:36, time: 0.402, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2968, decode.acc_seg: 71.9395, aux.loss_ce: 0.1276, aux.acc_seg: 71.4206, loss: 0.4244 2023-01-29 22:17:29,127 - mmseg - INFO - Iter [39750/160000] lr: 4.509e-05, eta: 14:01:12, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2859, decode.acc_seg: 72.9722, aux.loss_ce: 0.1236, aux.acc_seg: 72.4572, loss: 0.4095 2023-01-29 22:17:48,865 - mmseg - INFO - Iter [39800/160000] lr: 4.508e-05, eta: 14:00:47, time: 0.395, data_time: 0.006, memory: 12319, decode.loss_ce: 0.3140, decode.acc_seg: 70.3511, aux.loss_ce: 0.1341, aux.acc_seg: 69.9306, loss: 0.4481 2023-01-29 22:18:08,582 - mmseg - INFO - Iter [39850/160000] lr: 4.506e-05, eta: 14:00:23, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.3028, decode.acc_seg: 72.3604, aux.loss_ce: 0.1306, aux.acc_seg: 71.8592, loss: 0.4333 2023-01-29 22:18:28,425 - mmseg - INFO - Iter [39900/160000] lr: 4.504e-05, eta: 13:59:59, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3031, decode.acc_seg: 71.8848, aux.loss_ce: 0.1307, aux.acc_seg: 71.3100, loss: 0.4338 2023-01-29 22:18:48,161 - mmseg - INFO - Iter [39950/160000] lr: 4.502e-05, eta: 13:59:34, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2919, decode.acc_seg: 71.7248, aux.loss_ce: 0.1264, aux.acc_seg: 71.1472, loss: 0.4183 2023-01-29 22:19:08,053 - mmseg - INFO - Saving checkpoint at 40000 iterations 2023-01-29 22:19:18,860 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 22:19:18,863 - mmseg - INFO - Iter [40000/160000] lr: 4.500e-05, eta: 13:59:42, time: 0.613, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2982, decode.acc_seg: 69.6279, aux.loss_ce: 0.1277, aux.acc_seg: 69.0231, loss: 0.4259 2023-01-29 22:19:39,650 - mmseg - INFO - Iter [40050/160000] lr: 4.498e-05, eta: 13:59:20, time: 0.416, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2970, decode.acc_seg: 70.0936, aux.loss_ce: 0.1280, aux.acc_seg: 69.4957, loss: 0.4250 2023-01-29 22:19:59,865 - mmseg - INFO - Iter [40100/160000] lr: 4.496e-05, eta: 13:58:57, time: 0.405, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3135, decode.acc_seg: 71.2744, aux.loss_ce: 0.1344, aux.acc_seg: 70.7496, loss: 0.4479 2023-01-29 22:20:19,973 - mmseg - INFO - Iter [40150/160000] lr: 4.494e-05, eta: 13:58:33, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2835, decode.acc_seg: 71.9622, aux.loss_ce: 0.1231, aux.acc_seg: 71.3968, loss: 0.4065 2023-01-29 22:20:39,883 - mmseg - INFO - Iter [40200/160000] lr: 4.493e-05, eta: 13:58:09, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2905, decode.acc_seg: 71.3226, aux.loss_ce: 0.1267, aux.acc_seg: 70.7870, loss: 0.4172 2023-01-29 22:20:59,894 - mmseg - INFO - Iter [40250/160000] lr: 4.491e-05, eta: 13:57:45, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3305, decode.acc_seg: 70.4444, aux.loss_ce: 0.1416, aux.acc_seg: 70.0353, loss: 0.4721 2023-01-29 22:21:19,983 - mmseg - INFO - Iter [40300/160000] lr: 4.489e-05, eta: 13:57:22, time: 0.402, data_time: 0.014, memory: 12319, decode.loss_ce: 0.2870, decode.acc_seg: 70.5480, aux.loss_ce: 0.1252, aux.acc_seg: 69.8449, loss: 0.4122 2023-01-29 22:21:39,690 - mmseg - INFO - Iter [40350/160000] lr: 4.487e-05, eta: 13:56:57, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2978, decode.acc_seg: 71.4956, aux.loss_ce: 0.1281, aux.acc_seg: 71.0333, loss: 0.4259 2023-01-29 22:21:59,522 - mmseg - INFO - Iter [40400/160000] lr: 4.485e-05, eta: 13:56:32, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.3133, decode.acc_seg: 71.1162, aux.loss_ce: 0.1343, aux.acc_seg: 70.7856, loss: 0.4475 2023-01-29 22:22:22,811 - mmseg - INFO - Iter [40450/160000] lr: 4.483e-05, eta: 13:56:18, time: 0.466, data_time: 0.052, memory: 12319, decode.loss_ce: 0.2825, decode.acc_seg: 70.4795, aux.loss_ce: 0.1226, aux.acc_seg: 69.8543, loss: 0.4052 2023-01-29 22:22:42,859 - mmseg - INFO - Iter [40500/160000] lr: 4.481e-05, eta: 13:55:55, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2593, decode.acc_seg: 72.3669, aux.loss_ce: 0.1132, aux.acc_seg: 71.7599, loss: 0.3725 2023-01-29 22:23:02,862 - mmseg - INFO - Iter [40550/160000] lr: 4.479e-05, eta: 13:55:31, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2807, decode.acc_seg: 72.2875, aux.loss_ce: 0.1221, aux.acc_seg: 71.7297, loss: 0.4029 2023-01-29 22:23:22,988 - mmseg - INFO - Iter [40600/160000] lr: 4.478e-05, eta: 13:55:07, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2716, decode.acc_seg: 72.3028, aux.loss_ce: 0.1187, aux.acc_seg: 71.6692, loss: 0.3903 2023-01-29 22:23:43,012 - mmseg - INFO - Iter [40650/160000] lr: 4.476e-05, eta: 13:54:43, time: 0.401, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2801, decode.acc_seg: 70.6138, aux.loss_ce: 0.1225, aux.acc_seg: 70.1355, loss: 0.4026 2023-01-29 22:24:03,199 - mmseg - INFO - Iter [40700/160000] lr: 4.474e-05, eta: 13:54:20, time: 0.404, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2802, decode.acc_seg: 71.2561, aux.loss_ce: 0.1226, aux.acc_seg: 70.7072, loss: 0.4029 2023-01-29 22:24:23,480 - mmseg - INFO - Iter [40750/160000] lr: 4.472e-05, eta: 13:53:57, time: 0.406, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2755, decode.acc_seg: 72.9994, aux.loss_ce: 0.1206, aux.acc_seg: 72.3468, loss: 0.3961 2023-01-29 22:24:43,465 - mmseg - INFO - Iter [40800/160000] lr: 4.470e-05, eta: 13:53:33, time: 0.402, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2760, decode.acc_seg: 72.3504, aux.loss_ce: 0.1197, aux.acc_seg: 71.7664, loss: 0.3957 2023-01-29 22:25:03,631 - mmseg - INFO - Iter [40850/160000] lr: 4.468e-05, eta: 13:53:09, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2834, decode.acc_seg: 71.6627, aux.loss_ce: 0.1246, aux.acc_seg: 71.0272, loss: 0.4080 2023-01-29 22:25:26,064 - mmseg - INFO - Iter [40900/160000] lr: 4.466e-05, eta: 13:52:53, time: 0.452, data_time: 0.010, memory: 12319, decode.loss_ce: 0.2810, decode.acc_seg: 71.5206, aux.loss_ce: 0.1217, aux.acc_seg: 70.9561, loss: 0.4027 2023-01-29 22:25:45,898 - mmseg - INFO - Iter [40950/160000] lr: 4.464e-05, eta: 13:52:29, time: 0.400, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2846, decode.acc_seg: 72.5355, aux.loss_ce: 0.1234, aux.acc_seg: 72.0238, loss: 0.4080 2023-01-29 22:26:05,859 - mmseg - INFO - Saving checkpoint at 41000 iterations 2023-01-29 22:26:17,029 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 22:26:17,033 - mmseg - INFO - Iter [41000/160000] lr: 4.463e-05, eta: 13:52:37, time: 0.620, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2606, decode.acc_seg: 72.7137, aux.loss_ce: 0.1133, aux.acc_seg: 72.1418, loss: 0.3739 2023-01-29 22:26:37,604 - mmseg - INFO - Iter [41050/160000] lr: 4.461e-05, eta: 13:52:15, time: 0.414, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2928, decode.acc_seg: 70.9341, aux.loss_ce: 0.1272, aux.acc_seg: 70.3947, loss: 0.4201 2023-01-29 22:26:57,655 - mmseg - INFO - Iter [41100/160000] lr: 4.459e-05, eta: 13:51:51, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2904, decode.acc_seg: 72.8038, aux.loss_ce: 0.1258, aux.acc_seg: 72.3787, loss: 0.4163 2023-01-29 22:27:17,613 - mmseg - INFO - Iter [41150/160000] lr: 4.457e-05, eta: 13:51:27, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2798, decode.acc_seg: 71.1474, aux.loss_ce: 0.1227, aux.acc_seg: 70.5392, loss: 0.4025 2023-01-29 22:27:37,408 - mmseg - INFO - Iter [41200/160000] lr: 4.455e-05, eta: 13:51:03, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2633, decode.acc_seg: 72.3776, aux.loss_ce: 0.1152, aux.acc_seg: 71.8208, loss: 0.3785 2023-01-29 22:27:57,023 - mmseg - INFO - Iter [41250/160000] lr: 4.453e-05, eta: 13:50:38, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2839, decode.acc_seg: 70.4374, aux.loss_ce: 0.1245, aux.acc_seg: 69.7668, loss: 0.4084 2023-01-29 22:28:16,996 - mmseg - INFO - Iter [41300/160000] lr: 4.451e-05, eta: 13:50:14, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2801, decode.acc_seg: 71.2380, aux.loss_ce: 0.1221, aux.acc_seg: 70.6550, loss: 0.4022 2023-01-29 22:28:36,822 - mmseg - INFO - Iter [41350/160000] lr: 4.449e-05, eta: 13:49:50, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2880, decode.acc_seg: 70.8428, aux.loss_ce: 0.1244, aux.acc_seg: 70.4241, loss: 0.4124 2023-01-29 22:28:56,409 - mmseg - INFO - Iter [41400/160000] lr: 4.448e-05, eta: 13:49:25, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2978, decode.acc_seg: 69.9451, aux.loss_ce: 0.1292, aux.acc_seg: 69.5612, loss: 0.4269 2023-01-29 22:29:16,122 - mmseg - INFO - Iter [41450/160000] lr: 4.446e-05, eta: 13:49:00, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2920, decode.acc_seg: 71.4843, aux.loss_ce: 0.1267, aux.acc_seg: 71.0138, loss: 0.4187 2023-01-29 22:29:36,035 - mmseg - INFO - Iter [41500/160000] lr: 4.444e-05, eta: 13:48:36, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2744, decode.acc_seg: 71.4627, aux.loss_ce: 0.1205, aux.acc_seg: 70.7364, loss: 0.3949 2023-01-29 22:29:55,897 - mmseg - INFO - Iter [41550/160000] lr: 4.442e-05, eta: 13:48:12, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2863, decode.acc_seg: 71.2602, aux.loss_ce: 0.1226, aux.acc_seg: 70.8344, loss: 0.4089 2023-01-29 22:30:16,006 - mmseg - INFO - Iter [41600/160000] lr: 4.440e-05, eta: 13:47:49, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3231, decode.acc_seg: 70.4522, aux.loss_ce: 0.1388, aux.acc_seg: 70.0704, loss: 0.4618 2023-01-29 22:30:35,611 - mmseg - INFO - Iter [41650/160000] lr: 4.438e-05, eta: 13:47:24, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2856, decode.acc_seg: 71.9020, aux.loss_ce: 0.1227, aux.acc_seg: 71.4028, loss: 0.4083 2023-01-29 22:30:58,300 - mmseg - INFO - Iter [41700/160000] lr: 4.436e-05, eta: 13:47:08, time: 0.454, data_time: 0.051, memory: 12319, decode.loss_ce: 0.3038, decode.acc_seg: 72.8919, aux.loss_ce: 0.1328, aux.acc_seg: 72.3106, loss: 0.4366 2023-01-29 22:31:17,892 - mmseg - INFO - Iter [41750/160000] lr: 4.434e-05, eta: 13:46:43, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2996, decode.acc_seg: 72.1220, aux.loss_ce: 0.1280, aux.acc_seg: 71.6888, loss: 0.4276 2023-01-29 22:31:37,662 - mmseg - INFO - Iter [41800/160000] lr: 4.433e-05, eta: 13:46:18, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2678, decode.acc_seg: 71.7813, aux.loss_ce: 0.1164, aux.acc_seg: 71.2862, loss: 0.3841 2023-01-29 22:31:57,184 - mmseg - INFO - Iter [41850/160000] lr: 4.431e-05, eta: 13:45:53, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2575, decode.acc_seg: 72.3580, aux.loss_ce: 0.1133, aux.acc_seg: 71.7339, loss: 0.3708 2023-01-29 22:32:16,815 - mmseg - INFO - Iter [41900/160000] lr: 4.429e-05, eta: 13:45:28, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2872, decode.acc_seg: 71.8849, aux.loss_ce: 0.1249, aux.acc_seg: 71.3875, loss: 0.4120 2023-01-29 22:32:36,588 - mmseg - INFO - Iter [41950/160000] lr: 4.427e-05, eta: 13:45:04, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2758, decode.acc_seg: 72.3329, aux.loss_ce: 0.1193, aux.acc_seg: 71.7973, loss: 0.3950 2023-01-29 22:32:56,367 - mmseg - INFO - Saving checkpoint at 42000 iterations 2023-01-29 22:33:07,814 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 22:33:07,821 - mmseg - INFO - Iter [42000/160000] lr: 4.425e-05, eta: 13:45:12, time: 0.623, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2750, decode.acc_seg: 71.1042, aux.loss_ce: 0.1187, aux.acc_seg: 70.6723, loss: 0.3937 2023-01-29 22:33:28,339 - mmseg - INFO - Iter [42050/160000] lr: 4.423e-05, eta: 13:44:50, time: 0.412, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2888, decode.acc_seg: 72.5189, aux.loss_ce: 0.1264, aux.acc_seg: 71.9073, loss: 0.4152 2023-01-29 22:33:48,302 - mmseg - INFO - Iter [42100/160000] lr: 4.421e-05, eta: 13:44:26, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2684, decode.acc_seg: 72.1229, aux.loss_ce: 0.1167, aux.acc_seg: 71.6226, loss: 0.3851 2023-01-29 22:34:08,313 - mmseg - INFO - Iter [42150/160000] lr: 4.419e-05, eta: 13:44:02, time: 0.400, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2849, decode.acc_seg: 72.4395, aux.loss_ce: 0.1248, aux.acc_seg: 71.8464, loss: 0.4097 2023-01-29 22:34:28,487 - mmseg - INFO - Iter [42200/160000] lr: 4.418e-05, eta: 13:43:39, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2952, decode.acc_seg: 70.6134, aux.loss_ce: 0.1276, aux.acc_seg: 70.0929, loss: 0.4228 2023-01-29 22:34:48,702 - mmseg - INFO - Iter [42250/160000] lr: 4.416e-05, eta: 13:43:16, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2744, decode.acc_seg: 70.2581, aux.loss_ce: 0.1183, aux.acc_seg: 69.8748, loss: 0.3928 2023-01-29 22:35:08,564 - mmseg - INFO - Iter [42300/160000] lr: 4.414e-05, eta: 13:42:52, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3025, decode.acc_seg: 71.3061, aux.loss_ce: 0.1312, aux.acc_seg: 70.8279, loss: 0.4337 2023-01-29 22:35:28,521 - mmseg - INFO - Iter [42350/160000] lr: 4.412e-05, eta: 13:42:28, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3042, decode.acc_seg: 70.8191, aux.loss_ce: 0.1311, aux.acc_seg: 70.2455, loss: 0.4353 2023-01-29 22:35:48,413 - mmseg - INFO - Iter [42400/160000] lr: 4.410e-05, eta: 13:42:04, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2786, decode.acc_seg: 71.6737, aux.loss_ce: 0.1200, aux.acc_seg: 71.1610, loss: 0.3987 2023-01-29 22:36:08,508 - mmseg - INFO - Iter [42450/160000] lr: 4.408e-05, eta: 13:41:41, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2849, decode.acc_seg: 72.7664, aux.loss_ce: 0.1247, aux.acc_seg: 72.3093, loss: 0.4097 2023-01-29 22:36:28,434 - mmseg - INFO - Iter [42500/160000] lr: 4.406e-05, eta: 13:41:17, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2781, decode.acc_seg: 70.8783, aux.loss_ce: 0.1215, aux.acc_seg: 70.1821, loss: 0.3996 2023-01-29 22:36:48,217 - mmseg - INFO - Iter [42550/160000] lr: 4.404e-05, eta: 13:40:53, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2978, decode.acc_seg: 72.3344, aux.loss_ce: 0.1283, aux.acc_seg: 71.9424, loss: 0.4261 2023-01-29 22:37:07,849 - mmseg - INFO - Iter [42600/160000] lr: 4.403e-05, eta: 13:40:28, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2691, decode.acc_seg: 70.9781, aux.loss_ce: 0.1165, aux.acc_seg: 70.4245, loss: 0.3856 2023-01-29 22:37:27,668 - mmseg - INFO - Iter [42650/160000] lr: 4.401e-05, eta: 13:40:04, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2933, decode.acc_seg: 71.4301, aux.loss_ce: 0.1266, aux.acc_seg: 70.9369, loss: 0.4198 2023-01-29 22:37:47,911 - mmseg - INFO - Iter [42700/160000] lr: 4.399e-05, eta: 13:39:41, time: 0.405, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2946, decode.acc_seg: 69.5345, aux.loss_ce: 0.1279, aux.acc_seg: 68.9086, loss: 0.4225 2023-01-29 22:38:07,816 - mmseg - INFO - Iter [42750/160000] lr: 4.397e-05, eta: 13:39:17, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2967, decode.acc_seg: 71.1419, aux.loss_ce: 0.1277, aux.acc_seg: 70.6925, loss: 0.4244 2023-01-29 22:38:27,577 - mmseg - INFO - Iter [42800/160000] lr: 4.395e-05, eta: 13:38:53, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2833, decode.acc_seg: 70.7714, aux.loss_ce: 0.1226, aux.acc_seg: 70.2517, loss: 0.4059 2023-01-29 22:38:47,401 - mmseg - INFO - Iter [42850/160000] lr: 4.393e-05, eta: 13:38:29, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2726, decode.acc_seg: 72.3007, aux.loss_ce: 0.1195, aux.acc_seg: 71.7589, loss: 0.3920 2023-01-29 22:39:07,419 - mmseg - INFO - Iter [42900/160000] lr: 4.391e-05, eta: 13:38:05, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3010, decode.acc_seg: 71.9972, aux.loss_ce: 0.1300, aux.acc_seg: 71.4759, loss: 0.4309 2023-01-29 22:39:35,245 - mmseg - INFO - Iter [42950/160000] lr: 4.389e-05, eta: 13:38:03, time: 0.556, data_time: 0.139, memory: 12319, decode.loss_ce: 0.2954, decode.acc_seg: 72.3230, aux.loss_ce: 0.1267, aux.acc_seg: 71.7364, loss: 0.4221 2023-01-29 22:39:55,232 - mmseg - INFO - Saving checkpoint at 43000 iterations 2023-01-29 22:40:06,241 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 22:40:06,243 - mmseg - INFO - Iter [43000/160000] lr: 4.388e-05, eta: 13:38:09, time: 0.620, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2921, decode.acc_seg: 71.5200, aux.loss_ce: 0.1251, aux.acc_seg: 71.0607, loss: 0.4172 2023-01-29 22:40:26,322 - mmseg - INFO - Iter [43050/160000] lr: 4.386e-05, eta: 13:37:46, time: 0.402, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2776, decode.acc_seg: 71.3743, aux.loss_ce: 0.1202, aux.acc_seg: 70.7469, loss: 0.3979 2023-01-29 22:40:45,899 - mmseg - INFO - Iter [43100/160000] lr: 4.384e-05, eta: 13:37:21, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2859, decode.acc_seg: 71.5795, aux.loss_ce: 0.1237, aux.acc_seg: 71.0162, loss: 0.4096 2023-01-29 22:41:05,932 - mmseg - INFO - Iter [43150/160000] lr: 4.382e-05, eta: 13:36:57, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2735, decode.acc_seg: 71.4611, aux.loss_ce: 0.1200, aux.acc_seg: 70.9750, loss: 0.3936 2023-01-29 22:41:25,552 - mmseg - INFO - Iter [43200/160000] lr: 4.380e-05, eta: 13:36:33, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2789, decode.acc_seg: 71.6329, aux.loss_ce: 0.1224, aux.acc_seg: 70.9094, loss: 0.4013 2023-01-29 22:41:45,264 - mmseg - INFO - Iter [43250/160000] lr: 4.378e-05, eta: 13:36:08, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2849, decode.acc_seg: 71.4854, aux.loss_ce: 0.1225, aux.acc_seg: 70.9584, loss: 0.4075 2023-01-29 22:42:05,294 - mmseg - INFO - Iter [43300/160000] lr: 4.376e-05, eta: 13:35:45, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2720, decode.acc_seg: 72.0385, aux.loss_ce: 0.1190, aux.acc_seg: 71.4166, loss: 0.3910 2023-01-29 22:42:32,544 - mmseg - INFO - Iter [43350/160000] lr: 4.374e-05, eta: 13:35:41, time: 0.545, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2663, decode.acc_seg: 73.6609, aux.loss_ce: 0.1167, aux.acc_seg: 73.0919, loss: 0.3830 2023-01-29 22:42:52,332 - mmseg - INFO - Iter [43400/160000] lr: 4.373e-05, eta: 13:35:17, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2787, decode.acc_seg: 71.7529, aux.loss_ce: 0.1212, aux.acc_seg: 71.1650, loss: 0.3999 2023-01-29 22:43:12,068 - mmseg - INFO - Iter [43450/160000] lr: 4.371e-05, eta: 13:34:52, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2894, decode.acc_seg: 70.0522, aux.loss_ce: 0.1245, aux.acc_seg: 69.5922, loss: 0.4139 2023-01-29 22:43:31,918 - mmseg - INFO - Iter [43500/160000] lr: 4.369e-05, eta: 13:34:28, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2778, decode.acc_seg: 71.9931, aux.loss_ce: 0.1207, aux.acc_seg: 71.3979, loss: 0.3985 2023-01-29 22:43:52,000 - mmseg - INFO - Iter [43550/160000] lr: 4.367e-05, eta: 13:34:05, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2650, decode.acc_seg: 72.6412, aux.loss_ce: 0.1140, aux.acc_seg: 72.2564, loss: 0.3790 2023-01-29 22:44:11,744 - mmseg - INFO - Iter [43600/160000] lr: 4.365e-05, eta: 13:33:41, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2764, decode.acc_seg: 72.3834, aux.loss_ce: 0.1196, aux.acc_seg: 71.8516, loss: 0.3960 2023-01-29 22:44:31,743 - mmseg - INFO - Iter [43650/160000] lr: 4.363e-05, eta: 13:33:17, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2673, decode.acc_seg: 71.1860, aux.loss_ce: 0.1163, aux.acc_seg: 70.6945, loss: 0.3835 2023-01-29 22:44:51,331 - mmseg - INFO - Iter [43700/160000] lr: 4.361e-05, eta: 13:32:53, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2609, decode.acc_seg: 72.3779, aux.loss_ce: 0.1125, aux.acc_seg: 71.9996, loss: 0.3734 2023-01-29 22:45:11,647 - mmseg - INFO - Iter [43750/160000] lr: 4.359e-05, eta: 13:32:30, time: 0.406, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2784, decode.acc_seg: 70.9556, aux.loss_ce: 0.1207, aux.acc_seg: 70.4638, loss: 0.3991 2023-01-29 22:45:31,521 - mmseg - INFO - Iter [43800/160000] lr: 4.358e-05, eta: 13:32:06, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2865, decode.acc_seg: 71.9253, aux.loss_ce: 0.1237, aux.acc_seg: 71.4845, loss: 0.4102 2023-01-29 22:45:51,489 - mmseg - INFO - Iter [43850/160000] lr: 4.356e-05, eta: 13:31:42, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2641, decode.acc_seg: 71.9670, aux.loss_ce: 0.1141, aux.acc_seg: 71.5133, loss: 0.3782 2023-01-29 22:46:11,161 - mmseg - INFO - Iter [43900/160000] lr: 4.354e-05, eta: 13:31:18, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2719, decode.acc_seg: 73.0550, aux.loss_ce: 0.1187, aux.acc_seg: 72.5205, loss: 0.3905 2023-01-29 22:46:31,326 - mmseg - INFO - Iter [43950/160000] lr: 4.352e-05, eta: 13:30:54, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2617, decode.acc_seg: 71.3065, aux.loss_ce: 0.1131, aux.acc_seg: 70.8628, loss: 0.3748 2023-01-29 22:46:51,771 - mmseg - INFO - Saving checkpoint at 44000 iterations 2023-01-29 22:47:02,952 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 22:47:02,953 - mmseg - INFO - Iter [44000/160000] lr: 4.350e-05, eta: 13:31:02, time: 0.637, data_time: 0.008, memory: 12319, decode.loss_ce: 0.2782, decode.acc_seg: 71.4535, aux.loss_ce: 0.1190, aux.acc_seg: 71.0084, loss: 0.3972 2023-01-29 22:47:49,278 - mmseg - INFO - Iter [44050/160000] lr: 4.348e-05, eta: 13:30:39, time: 0.406, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2763, decode.acc_seg: 72.6836, aux.loss_ce: 0.1200, aux.acc_seg: 72.1251, loss: 0.3963 2023-01-29 22:48:12,720 - mmseg - INFO - Iter [44100/160000] lr: 4.346e-05, eta: 13:31:33, time: 0.989, data_time: 0.532, memory: 12319, decode.loss_ce: 0.2896, decode.acc_seg: 72.3773, aux.loss_ce: 0.1248, aux.acc_seg: 71.7081, loss: 0.4144 2023-01-29 22:48:34,246 - mmseg - INFO - Iter [44150/160000] lr: 4.344e-05, eta: 13:31:14, time: 0.430, data_time: 0.011, memory: 12319, decode.loss_ce: 0.2847, decode.acc_seg: 72.5614, aux.loss_ce: 0.1225, aux.acc_seg: 72.1120, loss: 0.4072 2023-01-29 22:48:54,185 - mmseg - INFO - Iter [44200/160000] lr: 4.343e-05, eta: 13:30:50, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2630, decode.acc_seg: 72.1338, aux.loss_ce: 0.1148, aux.acc_seg: 71.6284, loss: 0.3779 2023-01-29 22:49:19,628 - mmseg - INFO - Iter [44250/160000] lr: 4.341e-05, eta: 13:30:34, time: 0.458, data_time: 0.064, memory: 12319, decode.loss_ce: 0.2853, decode.acc_seg: 72.2322, aux.loss_ce: 0.1244, aux.acc_seg: 71.6020, loss: 0.4096 2023-01-29 22:49:39,334 - mmseg - INFO - Iter [44300/160000] lr: 4.339e-05, eta: 13:30:16, time: 0.445, data_time: 0.055, memory: 12319, decode.loss_ce: 0.2730, decode.acc_seg: 71.2902, aux.loss_ce: 0.1195, aux.acc_seg: 70.6444, loss: 0.3925 2023-01-29 22:49:59,162 - mmseg - INFO - Iter [44350/160000] lr: 4.337e-05, eta: 13:29:52, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2882, decode.acc_seg: 71.4065, aux.loss_ce: 0.1259, aux.acc_seg: 70.8009, loss: 0.4141 2023-01-29 22:50:18,692 - mmseg - INFO - Iter [44400/160000] lr: 4.335e-05, eta: 13:29:27, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2869, decode.acc_seg: 71.4454, aux.loss_ce: 0.1246, aux.acc_seg: 70.9430, loss: 0.4114 2023-01-29 22:50:38,349 - mmseg - INFO - Iter [44450/160000] lr: 4.333e-05, eta: 13:29:02, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2562, decode.acc_seg: 70.9325, aux.loss_ce: 0.1127, aux.acc_seg: 70.3604, loss: 0.3690 2023-01-29 22:50:57,995 - mmseg - INFO - Iter [44500/160000] lr: 4.331e-05, eta: 13:28:38, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2514, decode.acc_seg: 71.7642, aux.loss_ce: 0.1090, aux.acc_seg: 71.3852, loss: 0.3603 2023-01-29 22:51:17,576 - mmseg - INFO - Iter [44550/160000] lr: 4.329e-05, eta: 13:28:13, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2829, decode.acc_seg: 72.0321, aux.loss_ce: 0.1219, aux.acc_seg: 71.6339, loss: 0.4048 2023-01-29 22:51:37,178 - mmseg - INFO - Iter [44600/160000] lr: 4.328e-05, eta: 13:27:49, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2674, decode.acc_seg: 71.9949, aux.loss_ce: 0.1167, aux.acc_seg: 71.4288, loss: 0.3841 2023-01-29 22:51:56,941 - mmseg - INFO - Iter [44650/160000] lr: 4.326e-05, eta: 13:27:24, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2622, decode.acc_seg: 71.7788, aux.loss_ce: 0.1134, aux.acc_seg: 71.2078, loss: 0.3756 2023-01-29 22:52:16,619 - mmseg - INFO - Iter [44700/160000] lr: 4.324e-05, eta: 13:27:00, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2825, decode.acc_seg: 71.0857, aux.loss_ce: 0.1219, aux.acc_seg: 70.3835, loss: 0.4044 2023-01-29 22:52:36,242 - mmseg - INFO - Iter [44750/160000] lr: 4.322e-05, eta: 13:26:35, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2767, decode.acc_seg: 71.6909, aux.loss_ce: 0.1220, aux.acc_seg: 71.1169, loss: 0.3987 2023-01-29 22:52:56,253 - mmseg - INFO - Iter [44800/160000] lr: 4.320e-05, eta: 13:26:12, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2658, decode.acc_seg: 73.5529, aux.loss_ce: 0.1165, aux.acc_seg: 72.9582, loss: 0.3823 2023-01-29 22:53:15,917 - mmseg - INFO - Iter [44850/160000] lr: 4.318e-05, eta: 13:25:48, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2776, decode.acc_seg: 71.4277, aux.loss_ce: 0.1191, aux.acc_seg: 70.8873, loss: 0.3967 2023-01-29 22:53:35,699 - mmseg - INFO - Iter [44900/160000] lr: 4.316e-05, eta: 13:25:23, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2532, decode.acc_seg: 71.9115, aux.loss_ce: 0.1107, aux.acc_seg: 71.3399, loss: 0.3638 2023-01-29 22:53:55,565 - mmseg - INFO - Iter [44950/160000] lr: 4.314e-05, eta: 13:25:00, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2653, decode.acc_seg: 72.5572, aux.loss_ce: 0.1149, aux.acc_seg: 72.1864, loss: 0.3803 2023-01-29 22:54:15,321 - mmseg - INFO - Saving checkpoint at 45000 iterations 2023-01-29 22:54:26,041 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 22:54:26,041 - mmseg - INFO - Iter [45000/160000] lr: 4.313e-05, eta: 13:25:03, time: 0.610, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2622, decode.acc_seg: 71.4770, aux.loss_ce: 0.1121, aux.acc_seg: 71.1489, loss: 0.3743 2023-01-29 22:54:46,090 - mmseg - INFO - Iter [45050/160000] lr: 4.311e-05, eta: 13:24:39, time: 0.401, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2745, decode.acc_seg: 71.8053, aux.loss_ce: 0.1186, aux.acc_seg: 71.2401, loss: 0.3931 2023-01-29 22:55:05,858 - mmseg - INFO - Iter [45100/160000] lr: 4.309e-05, eta: 13:24:15, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2889, decode.acc_seg: 72.6854, aux.loss_ce: 0.1249, aux.acc_seg: 72.1769, loss: 0.4138 2023-01-29 22:55:25,526 - mmseg - INFO - Iter [45150/160000] lr: 4.307e-05, eta: 13:23:51, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2737, decode.acc_seg: 72.8786, aux.loss_ce: 0.1172, aux.acc_seg: 72.5360, loss: 0.3909 2023-01-29 22:55:45,440 - mmseg - INFO - Iter [45200/160000] lr: 4.305e-05, eta: 13:23:27, time: 0.398, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2732, decode.acc_seg: 72.4365, aux.loss_ce: 0.1176, aux.acc_seg: 72.0479, loss: 0.3908 2023-01-29 22:56:05,197 - mmseg - INFO - Iter [45250/160000] lr: 4.303e-05, eta: 13:23:03, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2637, decode.acc_seg: 71.3085, aux.loss_ce: 0.1152, aux.acc_seg: 70.7224, loss: 0.3789 2023-01-29 22:56:25,201 - mmseg - INFO - Iter [45300/160000] lr: 4.301e-05, eta: 13:22:39, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2688, decode.acc_seg: 72.5561, aux.loss_ce: 0.1157, aux.acc_seg: 72.2439, loss: 0.3846 2023-01-29 22:56:44,992 - mmseg - INFO - Iter [45350/160000] lr: 4.299e-05, eta: 13:22:15, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2855, decode.acc_seg: 70.6789, aux.loss_ce: 0.1241, aux.acc_seg: 70.0078, loss: 0.4095 2023-01-29 22:57:04,811 - mmseg - INFO - Iter [45400/160000] lr: 4.298e-05, eta: 13:21:51, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2766, decode.acc_seg: 73.3253, aux.loss_ce: 0.1207, aux.acc_seg: 72.7047, loss: 0.3972 2023-01-29 22:57:24,560 - mmseg - INFO - Iter [45450/160000] lr: 4.296e-05, eta: 13:21:27, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2778, decode.acc_seg: 71.7759, aux.loss_ce: 0.1205, aux.acc_seg: 71.1599, loss: 0.3983 2023-01-29 22:57:46,690 - mmseg - INFO - Iter [45500/160000] lr: 4.294e-05, eta: 13:21:09, time: 0.442, data_time: 0.053, memory: 12319, decode.loss_ce: 0.2820, decode.acc_seg: 72.4419, aux.loss_ce: 0.1228, aux.acc_seg: 71.8812, loss: 0.4047 2023-01-29 22:58:06,564 - mmseg - INFO - Iter [45550/160000] lr: 4.292e-05, eta: 13:20:45, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2585, decode.acc_seg: 71.5133, aux.loss_ce: 0.1126, aux.acc_seg: 70.9475, loss: 0.3711 2023-01-29 22:58:26,232 - mmseg - INFO - Iter [45600/160000] lr: 4.290e-05, eta: 13:20:21, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2561, decode.acc_seg: 73.2159, aux.loss_ce: 0.1129, aux.acc_seg: 72.5794, loss: 0.3690 2023-01-29 22:58:46,422 - mmseg - INFO - Iter [45650/160000] lr: 4.288e-05, eta: 13:19:58, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2659, decode.acc_seg: 73.7066, aux.loss_ce: 0.1169, aux.acc_seg: 73.0218, loss: 0.3828 2023-01-29 22:59:06,385 - mmseg - INFO - Iter [45700/160000] lr: 4.286e-05, eta: 13:19:35, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2527, decode.acc_seg: 72.9157, aux.loss_ce: 0.1109, aux.acc_seg: 72.3267, loss: 0.3637 2023-01-29 22:59:25,967 - mmseg - INFO - Iter [45750/160000] lr: 4.284e-05, eta: 13:19:10, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2469, decode.acc_seg: 73.5876, aux.loss_ce: 0.1085, aux.acc_seg: 72.9626, loss: 0.3554 2023-01-29 22:59:45,728 - mmseg - INFO - Iter [45800/160000] lr: 4.283e-05, eta: 13:18:46, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2629, decode.acc_seg: 71.8653, aux.loss_ce: 0.1142, aux.acc_seg: 71.2905, loss: 0.3771 2023-01-29 23:00:05,352 - mmseg - INFO - Iter [45850/160000] lr: 4.281e-05, eta: 13:18:22, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2629, decode.acc_seg: 71.7361, aux.loss_ce: 0.1132, aux.acc_seg: 71.3203, loss: 0.3761 2023-01-29 23:00:25,066 - mmseg - INFO - Iter [45900/160000] lr: 4.279e-05, eta: 13:17:58, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2609, decode.acc_seg: 71.9361, aux.loss_ce: 0.1143, aux.acc_seg: 71.3915, loss: 0.3752 2023-01-29 23:00:44,697 - mmseg - INFO - Iter [45950/160000] lr: 4.277e-05, eta: 13:17:33, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2696, decode.acc_seg: 72.0360, aux.loss_ce: 0.1171, aux.acc_seg: 71.5055, loss: 0.3867 2023-01-29 23:01:04,087 - mmseg - INFO - Saving checkpoint at 46000 iterations 2023-01-29 23:01:15,130 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 23:01:15,133 - mmseg - INFO - Iter [46000/160000] lr: 4.275e-05, eta: 13:17:35, time: 0.606, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2578, decode.acc_seg: 72.0246, aux.loss_ce: 0.1127, aux.acc_seg: 71.6152, loss: 0.3705 2023-01-29 23:01:35,622 - mmseg - INFO - Iter [46050/160000] lr: 4.273e-05, eta: 13:17:13, time: 0.413, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2679, decode.acc_seg: 70.7682, aux.loss_ce: 0.1171, aux.acc_seg: 70.3205, loss: 0.3850 2023-01-29 23:01:55,200 - mmseg - INFO - Iter [46100/160000] lr: 4.271e-05, eta: 13:16:49, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2584, decode.acc_seg: 72.3926, aux.loss_ce: 0.1126, aux.acc_seg: 71.7303, loss: 0.3710 2023-01-29 23:02:14,801 - mmseg - INFO - Iter [46150/160000] lr: 4.269e-05, eta: 13:16:25, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2646, decode.acc_seg: 72.3389, aux.loss_ce: 0.1149, aux.acc_seg: 71.6877, loss: 0.3795 2023-01-29 23:02:37,878 - mmseg - INFO - Iter [46200/160000] lr: 4.268e-05, eta: 13:16:09, time: 0.461, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3003, decode.acc_seg: 71.1118, aux.loss_ce: 0.1287, aux.acc_seg: 70.6168, loss: 0.4290 2023-01-29 23:02:57,632 - mmseg - INFO - Iter [46250/160000] lr: 4.266e-05, eta: 13:15:45, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3007, decode.acc_seg: 71.5916, aux.loss_ce: 0.1286, aux.acc_seg: 71.1016, loss: 0.4293 2023-01-29 23:03:17,215 - mmseg - INFO - Iter [46300/160000] lr: 4.264e-05, eta: 13:15:20, time: 0.392, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2732, decode.acc_seg: 73.3916, aux.loss_ce: 0.1193, aux.acc_seg: 72.8304, loss: 0.3926 2023-01-29 23:03:36,814 - mmseg - INFO - Iter [46350/160000] lr: 4.262e-05, eta: 13:14:56, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2846, decode.acc_seg: 71.4503, aux.loss_ce: 0.1225, aux.acc_seg: 70.8839, loss: 0.4072 2023-01-29 23:03:56,651 - mmseg - INFO - Iter [46400/160000] lr: 4.260e-05, eta: 13:14:32, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2739, decode.acc_seg: 71.8572, aux.loss_ce: 0.1177, aux.acc_seg: 71.3956, loss: 0.3916 2023-01-29 23:04:16,199 - mmseg - INFO - Iter [46450/160000] lr: 4.258e-05, eta: 13:14:08, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2413, decode.acc_seg: 72.4168, aux.loss_ce: 0.1053, aux.acc_seg: 71.8356, loss: 0.3466 2023-01-29 23:04:35,745 - mmseg - INFO - Iter [46500/160000] lr: 4.256e-05, eta: 13:13:43, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2686, decode.acc_seg: 72.7329, aux.loss_ce: 0.1178, aux.acc_seg: 71.9726, loss: 0.3864 2023-01-29 23:04:55,552 - mmseg - INFO - Iter [46550/160000] lr: 4.254e-05, eta: 13:13:19, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2735, decode.acc_seg: 72.3693, aux.loss_ce: 0.1179, aux.acc_seg: 71.9484, loss: 0.3914 2023-01-29 23:05:15,215 - mmseg - INFO - Iter [46600/160000] lr: 4.253e-05, eta: 13:12:55, time: 0.394, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2919, decode.acc_seg: 71.6438, aux.loss_ce: 0.1276, aux.acc_seg: 71.0777, loss: 0.4195 2023-01-29 23:05:34,980 - mmseg - INFO - Iter [46650/160000] lr: 4.251e-05, eta: 13:12:31, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2699, decode.acc_seg: 71.1255, aux.loss_ce: 0.1176, aux.acc_seg: 70.6157, loss: 0.3875 2023-01-29 23:05:55,033 - mmseg - INFO - Iter [46700/160000] lr: 4.249e-05, eta: 13:12:08, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2728, decode.acc_seg: 71.0281, aux.loss_ce: 0.1177, aux.acc_seg: 70.5339, loss: 0.3905 2023-01-29 23:06:17,737 - mmseg - INFO - Iter [46750/160000] lr: 4.247e-05, eta: 13:11:51, time: 0.454, data_time: 0.050, memory: 12319, decode.loss_ce: 0.2771, decode.acc_seg: 71.5300, aux.loss_ce: 0.1205, aux.acc_seg: 71.0414, loss: 0.3976 2023-01-29 23:06:37,580 - mmseg - INFO - Iter [46800/160000] lr: 4.245e-05, eta: 13:11:27, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2817, decode.acc_seg: 71.2481, aux.loss_ce: 0.1236, aux.acc_seg: 70.7142, loss: 0.4053 2023-01-29 23:06:57,370 - mmseg - INFO - Iter [46850/160000] lr: 4.243e-05, eta: 13:11:04, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2580, decode.acc_seg: 72.1975, aux.loss_ce: 0.1125, aux.acc_seg: 71.6232, loss: 0.3705 2023-01-29 23:07:17,212 - mmseg - INFO - Iter [46900/160000] lr: 4.241e-05, eta: 13:10:40, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2662, decode.acc_seg: 73.0030, aux.loss_ce: 0.1162, aux.acc_seg: 72.4558, loss: 0.3824 2023-01-29 23:07:36,960 - mmseg - INFO - Iter [46950/160000] lr: 4.239e-05, eta: 13:10:16, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2756, decode.acc_seg: 72.3013, aux.loss_ce: 0.1198, aux.acc_seg: 71.7351, loss: 0.3954 2023-01-29 23:07:56,772 - mmseg - INFO - Saving checkpoint at 47000 iterations 2023-01-29 23:08:07,050 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 23:08:07,051 - mmseg - INFO - Iter [47000/160000] lr: 4.238e-05, eta: 13:10:17, time: 0.599, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2800, decode.acc_seg: 70.8842, aux.loss_ce: 0.1216, aux.acc_seg: 70.2207, loss: 0.4016 2023-01-29 23:08:26,595 - mmseg - INFO - Iter [47050/160000] lr: 4.236e-05, eta: 13:09:53, time: 0.394, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2693, decode.acc_seg: 72.0444, aux.loss_ce: 0.1172, aux.acc_seg: 71.4659, loss: 0.3865 2023-01-29 23:08:46,513 - mmseg - INFO - Iter [47100/160000] lr: 4.234e-05, eta: 13:09:29, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2608, decode.acc_seg: 72.5917, aux.loss_ce: 0.1133, aux.acc_seg: 72.1518, loss: 0.3741 2023-01-29 23:09:06,088 - mmseg - INFO - Iter [47150/160000] lr: 4.232e-05, eta: 13:09:05, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2747, decode.acc_seg: 71.3309, aux.loss_ce: 0.1200, aux.acc_seg: 70.8266, loss: 0.3947 2023-01-29 23:09:25,701 - mmseg - INFO - Iter [47200/160000] lr: 4.230e-05, eta: 13:08:40, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2955, decode.acc_seg: 70.7325, aux.loss_ce: 0.1266, aux.acc_seg: 70.3554, loss: 0.4221 2023-01-29 23:09:45,478 - mmseg - INFO - Iter [47250/160000] lr: 4.228e-05, eta: 13:08:17, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2956, decode.acc_seg: 71.6282, aux.loss_ce: 0.1271, aux.acc_seg: 71.1018, loss: 0.4227 2023-01-29 23:10:05,250 - mmseg - INFO - Iter [47300/160000] lr: 4.226e-05, eta: 13:07:53, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2580, decode.acc_seg: 71.6487, aux.loss_ce: 0.1110, aux.acc_seg: 71.2068, loss: 0.3689 2023-01-29 23:10:24,818 - mmseg - INFO - Iter [47350/160000] lr: 4.224e-05, eta: 13:07:28, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2762, decode.acc_seg: 72.0545, aux.loss_ce: 0.1200, aux.acc_seg: 71.5257, loss: 0.3962 2023-01-29 23:10:44,435 - mmseg - INFO - Iter [47400/160000] lr: 4.223e-05, eta: 13:07:04, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2759, decode.acc_seg: 73.0962, aux.loss_ce: 0.1199, aux.acc_seg: 72.4631, loss: 0.3957 2023-01-29 23:11:04,043 - mmseg - INFO - Iter [47450/160000] lr: 4.221e-05, eta: 13:06:40, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2733, decode.acc_seg: 71.6518, aux.loss_ce: 0.1176, aux.acc_seg: 71.1439, loss: 0.3910 2023-01-29 23:11:23,809 - mmseg - INFO - Iter [47500/160000] lr: 4.219e-05, eta: 13:06:16, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2654, decode.acc_seg: 71.9775, aux.loss_ce: 0.1159, aux.acc_seg: 71.4123, loss: 0.3813 2023-01-29 23:11:43,615 - mmseg - INFO - Iter [47550/160000] lr: 4.217e-05, eta: 13:05:53, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2512, decode.acc_seg: 72.4241, aux.loss_ce: 0.1104, aux.acc_seg: 71.9528, loss: 0.3616 2023-01-29 23:12:03,498 - mmseg - INFO - Iter [47600/160000] lr: 4.215e-05, eta: 13:05:29, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.3001, decode.acc_seg: 71.9792, aux.loss_ce: 0.1296, aux.acc_seg: 71.3960, loss: 0.4297 2023-01-29 23:12:23,499 - mmseg - INFO - Iter [47650/160000] lr: 4.213e-05, eta: 13:05:05, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2875, decode.acc_seg: 72.4582, aux.loss_ce: 0.1243, aux.acc_seg: 71.9131, loss: 0.4119 2023-01-29 23:12:43,092 - mmseg - INFO - Iter [47700/160000] lr: 4.211e-05, eta: 13:04:41, time: 0.392, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2683, decode.acc_seg: 70.5857, aux.loss_ce: 0.1151, aux.acc_seg: 70.2088, loss: 0.3833 2023-01-29 23:13:02,635 - mmseg - INFO - Iter [47750/160000] lr: 4.209e-05, eta: 13:04:17, time: 0.393, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2770, decode.acc_seg: 71.6141, aux.loss_ce: 0.1201, aux.acc_seg: 71.1884, loss: 0.3971 2023-01-29 23:13:22,231 - mmseg - INFO - Iter [47800/160000] lr: 4.208e-05, eta: 13:03:53, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2698, decode.acc_seg: 71.5018, aux.loss_ce: 0.1167, aux.acc_seg: 70.9954, loss: 0.3865 2023-01-29 23:13:41,868 - mmseg - INFO - Iter [47850/160000] lr: 4.206e-05, eta: 13:03:29, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2709, decode.acc_seg: 72.4349, aux.loss_ce: 0.1176, aux.acc_seg: 72.0574, loss: 0.3885 2023-01-29 23:14:01,577 - mmseg - INFO - Iter [47900/160000] lr: 4.204e-05, eta: 13:03:05, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2587, decode.acc_seg: 73.1257, aux.loss_ce: 0.1121, aux.acc_seg: 72.7916, loss: 0.3708 2023-01-29 23:14:21,602 - mmseg - INFO - Iter [47950/160000] lr: 4.202e-05, eta: 13:02:42, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2568, decode.acc_seg: 72.4145, aux.loss_ce: 0.1103, aux.acc_seg: 72.0040, loss: 0.3671 2023-01-29 23:14:44,176 - mmseg - INFO - Saving checkpoint at 48000 iterations 2023-01-29 23:14:54,349 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 23:14:54,349 - mmseg - INFO - Iter [48000/160000] lr: 4.200e-05, eta: 13:02:49, time: 0.655, data_time: 0.050, memory: 12319, decode.loss_ce: 0.2691, decode.acc_seg: 71.8730, aux.loss_ce: 0.1170, aux.acc_seg: 71.3794, loss: 0.3861 2023-01-29 23:15:24,003 - mmseg - INFO - per class results: 2023-01-29 23:15:24,009 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.28 | 87.13 | | building | 84.24 | 92.87 | | sky | 94.77 | 97.53 | | floor | 83.27 | 90.37 | | tree | 76.66 | 88.9 | | ceiling | 84.76 | 93.18 | | road | 84.27 | 91.42 | | bed | 90.28 | 96.36 | | windowpane | 62.47 | 77.28 | | grass | 66.5 | 79.39 | | cabinet | 60.96 | 69.41 | | sidewalk | 67.78 | 84.36 | | person | 83.75 | 93.15 | | earth | 37.64 | 48.46 | | door | 54.55 | 74.38 | | table | 65.2 | 80.34 | | mountain | 58.75 | 75.98 | | plant | 53.86 | 64.17 | | curtain | 75.68 | 87.45 | | chair | 60.14 | 73.4 | | car | 86.24 | 92.49 | | water | 64.09 | 77.45 | | painting | 75.35 | 88.78 | | sofa | 69.77 | 78.66 | | shelf | 45.36 | 67.82 | | house | 54.63 | 66.85 | | sea | 71.39 | 80.17 | | mirror | 70.01 | 81.28 | | rug | 68.09 | 83.77 | | field | 31.51 | 63.68 | | armchair | 48.1 | 78.11 | | seat | 64.73 | 87.45 | | fence | 49.22 | 63.92 | | desk | 51.43 | 72.61 | | rock | 50.62 | 73.21 | | wardrobe | 52.31 | 74.54 | | lamp | 65.47 | 78.74 | | bathtub | 83.62 | 85.48 | | railing | 40.16 | 60.17 | | cushion | 63.93 | 79.71 | | base | 43.85 | 63.38 | | box | 33.26 | 43.2 | | column | 52.27 | 66.07 | | signboard | 40.66 | 54.23 | | chest of drawers | 39.01 | 63.43 | | counter | 42.37 | 59.01 | | sand | 59.38 | 77.96 | | sink | 75.39 | 83.95 | | skyscraper | 39.74 | 48.03 | | fireplace | 70.74 | 90.98 | | refrigerator | 72.19 | 87.87 | | grandstand | 45.96 | 80.73 | | path | 23.45 | 30.95 | | stairs | 24.8 | 28.74 | | runway | 73.7 | 98.36 | | case | 47.33 | 59.69 | | pool table | 93.67 | 97.54 | | pillow | 62.14 | 76.25 | | screen door | 66.72 | 76.96 | | stairway | 38.02 | 55.54 | | river | 15.6 | 37.15 | | bridge | 77.63 | 87.95 | | bookcase | 37.69 | 57.38 | | blind | 47.95 | 68.23 | | coffee table | 62.77 | 80.69 | | toilet | 85.35 | 92.4 | | flower | 37.1 | 58.18 | | book | 49.83 | 72.99 | | hill | 12.51 | 24.74 | | bench | 45.05 | 49.98 | | countertop | 62.14 | 77.74 | | stove | 80.95 | 89.96 | | palm | 54.48 | 79.87 | | kitchen island | 45.81 | 80.64 | | computer | 64.33 | 74.45 | | swivel chair | 45.24 | 65.32 | | boat | 55.89 | 91.45 | | bar | 46.98 | 58.35 | | arcade machine | 77.64 | 95.83 | | hovel | 47.58 | 75.23 | | bus | 91.7 | 96.47 | | towel | 70.64 | 85.76 | | light | 50.33 | 55.1 | | truck | 43.66 | 57.87 | | tower | 23.78 | 36.04 | | chandelier | 68.52 | 82.93 | | awning | 33.63 | 41.27 | | streetlight | 30.99 | 37.98 | | booth | 43.82 | 44.92 | | television receiver | 74.42 | 83.94 | | airplane | 60.26 | 69.76 | | dirt track | 0.0 | 0.0 | | apparel | 49.19 | 73.51 | | pole | 28.88 | 42.6 | | land | 4.93 | 6.28 | | bannister | 15.52 | 20.04 | | escalator | 60.36 | 85.4 | | ottoman | 51.87 | 70.84 | | bottle | 38.62 | 53.68 | | buffet | 52.04 | 64.05 | | poster | 32.91 | 43.93 | | stage | 24.86 | 42.35 | | van | 44.88 | 61.57 | | ship | 11.11 | 12.93 | | fountain | 28.78 | 29.55 | | conveyer belt | 79.91 | 92.67 | | canopy | 39.16 | 67.47 | | washer | 83.22 | 90.09 | | plaything | 27.8 | 44.58 | | swimming pool | 62.66 | 91.76 | | stool | 47.37 | 63.2 | | barrel | 52.13 | 64.97 | | basket | 37.11 | 51.53 | | waterfall | 56.44 | 71.78 | | tent | 62.11 | 98.82 | | bag | 20.82 | 25.79 | | minibike | 71.51 | 88.36 | | cradle | 76.71 | 98.47 | | oven | 53.24 | 65.69 | | ball | 56.38 | 70.15 | | food | 54.62 | 58.51 | | step | 7.26 | 7.71 | | tank | 64.39 | 66.45 | | trade name | 21.23 | 22.44 | | microwave | 85.0 | 94.37 | | pot | 47.71 | 56.36 | | animal | 60.32 | 62.18 | | bicycle | 57.55 | 78.79 | | lake | 56.28 | 63.62 | | dishwasher | 63.45 | 83.19 | | screen | 55.7 | 89.2 | | blanket | 22.01 | 27.81 | | sculpture | 70.8 | 86.16 | | hood | 63.12 | 70.09 | | sconce | 48.53 | 58.81 | | vase | 43.79 | 62.59 | | traffic light | 36.88 | 52.22 | | tray | 7.3 | 10.9 | | ashcan | 48.51 | 65.32 | | fan | 63.69 | 81.97 | | pier | 30.46 | 40.35 | | crt screen | 11.11 | 17.76 | | plate | 55.09 | 72.22 | | monitor | 33.36 | 60.71 | | bulletin board | 43.07 | 52.71 | | shower | 1.39 | 2.02 | | radiator | 70.28 | 86.17 | | glass | 13.75 | 14.41 | | clock | 48.55 | 58.37 | | flag | 54.27 | 58.49 | +---------------------+-------+-------+ 2023-01-29 23:15:24,009 - mmseg - INFO - Summary: 2023-01-29 23:15:24,009 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.41 | 52.86 | 66.59 | +-------+-------+-------+ 2023-01-29 23:15:24,224 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/segmentation/work_dirs/upernet_uniperceiver_adapter_large_512_160k_ade20k/best_mIoU_iter_32000.pth was removed 2023-01-29 23:15:34,283 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. 2023-01-29 23:15:34,283 - mmseg - INFO - Best mIoU is 0.5286 at 48000 iter. 2023-01-29 23:15:34,293 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 23:15:34,293 - mmseg - INFO - Iter(val) [250] aAcc: 0.8441, mIoU: 0.5286, mAcc: 0.6659, IoU.wall: 0.7928, IoU.building: 0.8424, IoU.sky: 0.9477, IoU.floor: 0.8327, IoU.tree: 0.7666, IoU.ceiling: 0.8476, IoU.road: 0.8427, IoU.bed : 0.9028, IoU.windowpane: 0.6247, IoU.grass: 0.6650, IoU.cabinet: 0.6096, IoU.sidewalk: 0.6778, IoU.person: 0.8375, IoU.earth: 0.3764, IoU.door: 0.5455, IoU.table: 0.6520, IoU.mountain: 0.5875, IoU.plant: 0.5386, IoU.curtain: 0.7568, IoU.chair: 0.6014, IoU.car: 0.8624, IoU.water: 0.6409, IoU.painting: 0.7535, IoU.sofa: 0.6977, IoU.shelf: 0.4536, IoU.house: 0.5463, IoU.sea: 0.7139, IoU.mirror: 0.7001, IoU.rug: 0.6809, IoU.field: 0.3151, IoU.armchair: 0.4810, IoU.seat: 0.6473, IoU.fence: 0.4922, IoU.desk: 0.5143, IoU.rock: 0.5062, IoU.wardrobe: 0.5231, IoU.lamp: 0.6547, IoU.bathtub: 0.8362, IoU.railing: 0.4016, IoU.cushion: 0.6393, IoU.base: 0.4385, IoU.box: 0.3326, IoU.column: 0.5227, IoU.signboard: 0.4066, IoU.chest of drawers: 0.3901, IoU.counter: 0.4237, IoU.sand: 0.5938, IoU.sink: 0.7539, IoU.skyscraper: 0.3974, IoU.fireplace: 0.7074, IoU.refrigerator: 0.7219, IoU.grandstand: 0.4596, IoU.path: 0.2345, IoU.stairs: 0.2480, IoU.runway: 0.7370, IoU.case: 0.4733, IoU.pool table: 0.9367, IoU.pillow: 0.6214, IoU.screen door: 0.6672, IoU.stairway: 0.3802, IoU.river: 0.1560, IoU.bridge: 0.7763, IoU.bookcase: 0.3769, IoU.blind: 0.4795, IoU.coffee table: 0.6277, IoU.toilet: 0.8535, IoU.flower: 0.3710, IoU.book: 0.4983, IoU.hill: 0.1251, IoU.bench: 0.4505, IoU.countertop: 0.6214, IoU.stove: 0.8095, IoU.palm: 0.5448, IoU.kitchen island: 0.4581, IoU.computer: 0.6433, IoU.swivel chair: 0.4524, IoU.boat: 0.5589, IoU.bar: 0.4698, IoU.arcade machine: 0.7764, IoU.hovel: 0.4758, IoU.bus: 0.9170, IoU.towel: 0.7064, IoU.light: 0.5033, IoU.truck: 0.4366, IoU.tower: 0.2378, IoU.chandelier: 0.6852, IoU.awning: 0.3363, IoU.streetlight: 0.3099, IoU.booth: 0.4382, IoU.television receiver: 0.7442, IoU.airplane: 0.6026, IoU.dirt track: 0.0000, IoU.apparel: 0.4919, IoU.pole: 0.2888, IoU.land: 0.0493, IoU.bannister: 0.1552, IoU.escalator: 0.6036, IoU.ottoman: 0.5187, IoU.bottle: 0.3862, IoU.buffet: 0.5204, IoU.poster: 0.3291, IoU.stage: 0.2486, IoU.van: 0.4488, IoU.ship: 0.1111, IoU.fountain: 0.2878, IoU.conveyer belt: 0.7991, IoU.canopy: 0.3916, IoU.washer: 0.8322, IoU.plaything: 0.2780, IoU.swimming pool: 0.6266, IoU.stool: 0.4737, IoU.barrel: 0.5213, IoU.basket: 0.3711, IoU.waterfall: 0.5644, IoU.tent: 0.6211, IoU.bag: 0.2082, IoU.minibike: 0.7151, IoU.cradle: 0.7671, IoU.oven: 0.5324, IoU.ball: 0.5638, IoU.food: 0.5462, IoU.step: 0.0726, IoU.tank: 0.6439, IoU.trade name: 0.2123, IoU.microwave: 0.8500, IoU.pot: 0.4771, IoU.animal: 0.6032, IoU.bicycle: 0.5755, IoU.lake: 0.5628, IoU.dishwasher: 0.6345, IoU.screen: 0.5570, IoU.blanket: 0.2201, IoU.sculpture: 0.7080, IoU.hood: 0.6312, IoU.sconce: 0.4853, IoU.vase: 0.4379, IoU.traffic light: 0.3688, IoU.tray: 0.0730, IoU.ashcan: 0.4851, IoU.fan: 0.6369, IoU.pier: 0.3046, IoU.crt screen: 0.1111, IoU.plate: 0.5509, IoU.monitor: 0.3336, IoU.bulletin board: 0.4307, IoU.shower: 0.0139, IoU.radiator: 0.7028, IoU.glass: 0.1375, IoU.clock: 0.4855, IoU.flag: 0.5427, Acc.wall: 0.8713, Acc.building: 0.9287, Acc.sky: 0.9753, Acc.floor: 0.9037, Acc.tree: 0.8890, Acc.ceiling: 0.9318, Acc.road: 0.9142, Acc.bed : 0.9636, Acc.windowpane: 0.7728, Acc.grass: 0.7939, Acc.cabinet: 0.6941, Acc.sidewalk: 0.8436, Acc.person: 0.9315, Acc.earth: 0.4846, Acc.door: 0.7438, Acc.table: 0.8034, Acc.mountain: 0.7598, Acc.plant: 0.6417, Acc.curtain: 0.8745, Acc.chair: 0.7340, Acc.car: 0.9249, Acc.water: 0.7745, Acc.painting: 0.8878, Acc.sofa: 0.7866, Acc.shelf: 0.6782, Acc.house: 0.6685, Acc.sea: 0.8017, Acc.mirror: 0.8128, Acc.rug: 0.8377, Acc.field: 0.6368, Acc.armchair: 0.7811, Acc.seat: 0.8745, Acc.fence: 0.6392, Acc.desk: 0.7261, Acc.rock: 0.7321, Acc.wardrobe: 0.7454, Acc.lamp: 0.7874, Acc.bathtub: 0.8548, Acc.railing: 0.6017, Acc.cushion: 0.7971, Acc.base: 0.6338, Acc.box: 0.4320, Acc.column: 0.6607, Acc.signboard: 0.5423, Acc.chest of drawers: 0.6343, Acc.counter: 0.5901, Acc.sand: 0.7796, Acc.sink: 0.8395, Acc.skyscraper: 0.4803, Acc.fireplace: 0.9098, Acc.refrigerator: 0.8787, Acc.grandstand: 0.8073, Acc.path: 0.3095, Acc.stairs: 0.2874, Acc.runway: 0.9836, Acc.case: 0.5969, Acc.pool table: 0.9754, Acc.pillow: 0.7625, Acc.screen door: 0.7696, Acc.stairway: 0.5554, Acc.river: 0.3715, Acc.bridge: 0.8795, Acc.bookcase: 0.5738, Acc.blind: 0.6823, Acc.coffee table: 0.8069, Acc.toilet: 0.9240, Acc.flower: 0.5818, Acc.book: 0.7299, Acc.hill: 0.2474, Acc.bench: 0.4998, Acc.countertop: 0.7774, Acc.stove: 0.8996, Acc.palm: 0.7987, Acc.kitchen island: 0.8064, Acc.computer: 0.7445, Acc.swivel chair: 0.6532, Acc.boat: 0.9145, Acc.bar: 0.5835, Acc.arcade machine: 0.9583, Acc.hovel: 0.7523, Acc.bus: 0.9647, Acc.towel: 0.8576, Acc.light: 0.5510, Acc.truck: 0.5787, Acc.tower: 0.3604, Acc.chandelier: 0.8293, Acc.awning: 0.4127, Acc.streetlight: 0.3798, Acc.booth: 0.4492, Acc.television receiver: 0.8394, Acc.airplane: 0.6976, Acc.dirt track: 0.0000, Acc.apparel: 0.7351, Acc.pole: 0.4260, Acc.land: 0.0628, Acc.bannister: 0.2004, Acc.escalator: 0.8540, Acc.ottoman: 0.7084, Acc.bottle: 0.5368, Acc.buffet: 0.6405, Acc.poster: 0.4393, Acc.stage: 0.4235, Acc.van: 0.6157, Acc.ship: 0.1293, Acc.fountain: 0.2955, Acc.conveyer belt: 0.9267, Acc.canopy: 0.6747, Acc.washer: 0.9009, Acc.plaything: 0.4458, Acc.swimming pool: 0.9176, Acc.stool: 0.6320, Acc.barrel: 0.6497, Acc.basket: 0.5153, Acc.waterfall: 0.7178, Acc.tent: 0.9882, Acc.bag: 0.2579, Acc.minibike: 0.8836, Acc.cradle: 0.9847, Acc.oven: 0.6569, Acc.ball: 0.7015, Acc.food: 0.5851, Acc.step: 0.0771, Acc.tank: 0.6645, Acc.trade name: 0.2244, Acc.microwave: 0.9437, Acc.pot: 0.5636, Acc.animal: 0.6218, Acc.bicycle: 0.7879, Acc.lake: 0.6362, Acc.dishwasher: 0.8319, Acc.screen: 0.8920, Acc.blanket: 0.2781, Acc.sculpture: 0.8616, Acc.hood: 0.7009, Acc.sconce: 0.5881, Acc.vase: 0.6259, Acc.traffic light: 0.5222, Acc.tray: 0.1090, Acc.ashcan: 0.6532, Acc.fan: 0.8197, Acc.pier: 0.4035, Acc.crt screen: 0.1776, Acc.plate: 0.7222, Acc.monitor: 0.6071, Acc.bulletin board: 0.5271, Acc.shower: 0.0202, Acc.radiator: 0.8617, Acc.glass: 0.1441, Acc.clock: 0.5837, Acc.flag: 0.5849 2023-01-29 23:15:54,557 - mmseg - INFO - Iter [48050/160000] lr: 4.198e-05, eta: 13:03:59, time: 1.204, data_time: 0.803, memory: 12319, decode.loss_ce: 0.2457, decode.acc_seg: 72.9755, aux.loss_ce: 0.1074, aux.acc_seg: 72.4350, loss: 0.3532 2023-01-29 23:16:14,266 - mmseg - INFO - Iter [48100/160000] lr: 4.196e-05, eta: 13:03:35, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2528, decode.acc_seg: 71.9493, aux.loss_ce: 0.1115, aux.acc_seg: 71.3814, loss: 0.3643 2023-01-29 23:16:34,105 - mmseg - INFO - Iter [48150/160000] lr: 4.194e-05, eta: 13:03:11, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2649, decode.acc_seg: 71.9831, aux.loss_ce: 0.1145, aux.acc_seg: 71.6265, loss: 0.3795 2023-01-29 23:16:53,922 - mmseg - INFO - Iter [48200/160000] lr: 4.193e-05, eta: 13:02:47, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2777, decode.acc_seg: 71.1433, aux.loss_ce: 0.1203, aux.acc_seg: 70.7008, loss: 0.3980 2023-01-29 23:17:13,865 - mmseg - INFO - Iter [48250/160000] lr: 4.191e-05, eta: 13:02:24, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2749, decode.acc_seg: 71.9826, aux.loss_ce: 0.1196, aux.acc_seg: 71.5365, loss: 0.3945 2023-01-29 23:17:33,571 - mmseg - INFO - Iter [48300/160000] lr: 4.189e-05, eta: 13:02:00, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2540, decode.acc_seg: 73.3030, aux.loss_ce: 0.1110, aux.acc_seg: 72.8528, loss: 0.3649 2023-01-29 23:17:53,288 - mmseg - INFO - Iter [48350/160000] lr: 4.187e-05, eta: 13:01:36, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2824, decode.acc_seg: 72.0938, aux.loss_ce: 0.1234, aux.acc_seg: 71.4555, loss: 0.4058 2023-01-29 23:18:12,952 - mmseg - INFO - Iter [48400/160000] lr: 4.185e-05, eta: 13:01:12, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2730, decode.acc_seg: 72.3735, aux.loss_ce: 0.1189, aux.acc_seg: 71.7857, loss: 0.3919 2023-01-29 23:18:32,417 - mmseg - INFO - Iter [48450/160000] lr: 4.183e-05, eta: 13:00:47, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2774, decode.acc_seg: 72.0597, aux.loss_ce: 0.1186, aux.acc_seg: 71.6687, loss: 0.3960 2023-01-29 23:18:52,001 - mmseg - INFO - Iter [48500/160000] lr: 4.181e-05, eta: 13:00:23, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2556, decode.acc_seg: 72.7699, aux.loss_ce: 0.1110, aux.acc_seg: 72.1695, loss: 0.3667 2023-01-29 23:19:11,812 - mmseg - INFO - Iter [48550/160000] lr: 4.179e-05, eta: 12:59:59, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2642, decode.acc_seg: 72.0107, aux.loss_ce: 0.1138, aux.acc_seg: 71.6637, loss: 0.3780 2023-01-29 23:19:31,580 - mmseg - INFO - Iter [48600/160000] lr: 4.178e-05, eta: 12:59:36, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2609, decode.acc_seg: 72.5248, aux.loss_ce: 0.1137, aux.acc_seg: 71.8791, loss: 0.3746 2023-01-29 23:19:51,377 - mmseg - INFO - Iter [48650/160000] lr: 4.176e-05, eta: 12:59:12, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2580, decode.acc_seg: 71.0202, aux.loss_ce: 0.1112, aux.acc_seg: 70.4486, loss: 0.3692 2023-01-29 23:20:11,128 - mmseg - INFO - Iter [48700/160000] lr: 4.174e-05, eta: 12:58:48, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2614, decode.acc_seg: 71.6912, aux.loss_ce: 0.1137, aux.acc_seg: 71.1486, loss: 0.3752 2023-01-29 23:20:31,002 - mmseg - INFO - Iter [48750/160000] lr: 4.172e-05, eta: 12:58:25, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2562, decode.acc_seg: 72.6838, aux.loss_ce: 0.1109, aux.acc_seg: 72.2079, loss: 0.3671 2023-01-29 23:20:50,720 - mmseg - INFO - Iter [48800/160000] lr: 4.170e-05, eta: 12:58:01, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2691, decode.acc_seg: 71.7468, aux.loss_ce: 0.1168, aux.acc_seg: 71.1636, loss: 0.3859 2023-01-29 23:21:10,734 - mmseg - INFO - Iter [48850/160000] lr: 4.168e-05, eta: 12:57:37, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2646, decode.acc_seg: 73.0913, aux.loss_ce: 0.1146, aux.acc_seg: 72.6103, loss: 0.3792 2023-01-29 23:21:30,577 - mmseg - INFO - Iter [48900/160000] lr: 4.166e-05, eta: 12:57:14, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2575, decode.acc_seg: 72.8484, aux.loss_ce: 0.1114, aux.acc_seg: 72.2378, loss: 0.3689 2023-01-29 23:21:50,295 - mmseg - INFO - Iter [48950/160000] lr: 4.164e-05, eta: 12:56:50, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2765, decode.acc_seg: 73.1209, aux.loss_ce: 0.1206, aux.acc_seg: 72.5064, loss: 0.3971 2023-01-29 23:22:10,012 - mmseg - INFO - Saving checkpoint at 49000 iterations 2023-01-29 23:22:21,148 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 23:22:21,148 - mmseg - INFO - Iter [49000/160000] lr: 4.163e-05, eta: 12:56:51, time: 0.617, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2708, decode.acc_seg: 73.4573, aux.loss_ce: 0.1170, aux.acc_seg: 73.0490, loss: 0.3879 2023-01-29 23:22:41,022 - mmseg - INFO - Iter [49050/160000] lr: 4.161e-05, eta: 12:56:28, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2786, decode.acc_seg: 72.5856, aux.loss_ce: 0.1206, aux.acc_seg: 72.0710, loss: 0.3992 2023-01-29 23:23:00,605 - mmseg - INFO - Iter [49100/160000] lr: 4.159e-05, eta: 12:56:04, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2532, decode.acc_seg: 71.8582, aux.loss_ce: 0.1100, aux.acc_seg: 71.3504, loss: 0.3632 2023-01-29 23:23:20,454 - mmseg - INFO - Iter [49150/160000] lr: 4.157e-05, eta: 12:55:40, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2561, decode.acc_seg: 72.3854, aux.loss_ce: 0.1123, aux.acc_seg: 71.9995, loss: 0.3684 2023-01-29 23:23:39,941 - mmseg - INFO - Iter [49200/160000] lr: 4.155e-05, eta: 12:55:16, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2801, decode.acc_seg: 71.7610, aux.loss_ce: 0.1220, aux.acc_seg: 71.1055, loss: 0.4021 2023-01-29 23:23:59,538 - mmseg - INFO - Iter [49250/160000] lr: 4.153e-05, eta: 12:54:52, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2666, decode.acc_seg: 70.9338, aux.loss_ce: 0.1152, aux.acc_seg: 70.3677, loss: 0.3818 2023-01-29 23:24:22,270 - mmseg - INFO - Iter [49300/160000] lr: 4.151e-05, eta: 12:54:34, time: 0.454, data_time: 0.053, memory: 12319, decode.loss_ce: 0.2547, decode.acc_seg: 71.9861, aux.loss_ce: 0.1115, aux.acc_seg: 71.3797, loss: 0.3662 2023-01-29 23:24:41,815 - mmseg - INFO - Iter [49350/160000] lr: 4.149e-05, eta: 12:54:10, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2480, decode.acc_seg: 71.3730, aux.loss_ce: 0.1083, aux.acc_seg: 70.9605, loss: 0.3563 2023-01-29 23:25:01,471 - mmseg - INFO - Iter [49400/160000] lr: 4.148e-05, eta: 12:53:46, time: 0.393, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2644, decode.acc_seg: 72.7727, aux.loss_ce: 0.1147, aux.acc_seg: 72.2571, loss: 0.3791 2023-01-29 23:25:21,071 - mmseg - INFO - Iter [49450/160000] lr: 4.146e-05, eta: 12:53:22, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2694, decode.acc_seg: 72.1009, aux.loss_ce: 0.1176, aux.acc_seg: 71.5685, loss: 0.3870 2023-01-29 23:25:40,862 - mmseg - INFO - Iter [49500/160000] lr: 4.144e-05, eta: 12:52:58, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2606, decode.acc_seg: 73.6175, aux.loss_ce: 0.1149, aux.acc_seg: 72.8319, loss: 0.3755 2023-01-29 23:26:00,399 - mmseg - INFO - Iter [49550/160000] lr: 4.142e-05, eta: 12:52:34, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2434, decode.acc_seg: 71.2527, aux.loss_ce: 0.1064, aux.acc_seg: 70.7291, loss: 0.3498 2023-01-29 23:26:19,991 - mmseg - INFO - Iter [49600/160000] lr: 4.140e-05, eta: 12:52:10, time: 0.392, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2522, decode.acc_seg: 74.3129, aux.loss_ce: 0.1097, aux.acc_seg: 73.7752, loss: 0.3619 2023-01-29 23:26:39,681 - mmseg - INFO - Iter [49650/160000] lr: 4.138e-05, eta: 12:51:46, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2563, decode.acc_seg: 72.9822, aux.loss_ce: 0.1124, aux.acc_seg: 72.4680, loss: 0.3687 2023-01-29 23:26:59,451 - mmseg - INFO - Iter [49700/160000] lr: 4.136e-05, eta: 12:51:23, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2589, decode.acc_seg: 72.8776, aux.loss_ce: 0.1136, aux.acc_seg: 72.3683, loss: 0.3726 2023-01-29 23:27:18,874 - mmseg - INFO - Iter [49750/160000] lr: 4.134e-05, eta: 12:50:58, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2629, decode.acc_seg: 71.1957, aux.loss_ce: 0.1142, aux.acc_seg: 70.6921, loss: 0.3772 2023-01-29 23:27:38,358 - mmseg - INFO - Iter [49800/160000] lr: 4.133e-05, eta: 12:50:34, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2623, decode.acc_seg: 72.2241, aux.loss_ce: 0.1148, aux.acc_seg: 71.5426, loss: 0.3771 2023-01-29 23:27:57,865 - mmseg - INFO - Iter [49850/160000] lr: 4.131e-05, eta: 12:50:10, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2578, decode.acc_seg: 71.7782, aux.loss_ce: 0.1125, aux.acc_seg: 71.2373, loss: 0.3702 2023-01-29 23:28:17,286 - mmseg - INFO - Iter [49900/160000] lr: 4.129e-05, eta: 12:49:45, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2664, decode.acc_seg: 71.4769, aux.loss_ce: 0.1152, aux.acc_seg: 71.1153, loss: 0.3816 2023-01-29 23:28:37,069 - mmseg - INFO - Iter [49950/160000] lr: 4.127e-05, eta: 12:49:21, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2516, decode.acc_seg: 72.8402, aux.loss_ce: 0.1107, aux.acc_seg: 72.2933, loss: 0.3623 2023-01-29 23:28:56,808 - mmseg - INFO - Saving checkpoint at 50000 iterations 2023-01-29 23:29:07,431 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 23:29:07,431 - mmseg - INFO - Iter [50000/160000] lr: 4.125e-05, eta: 12:49:21, time: 0.607, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2673, decode.acc_seg: 72.8124, aux.loss_ce: 0.1170, aux.acc_seg: 72.2485, loss: 0.3844 2023-01-29 23:29:26,965 - mmseg - INFO - Iter [50050/160000] lr: 4.123e-05, eta: 12:48:57, time: 0.393, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2790, decode.acc_seg: 71.9410, aux.loss_ce: 0.1222, aux.acc_seg: 71.3876, loss: 0.4012 2023-01-29 23:29:46,764 - mmseg - INFO - Iter [50100/160000] lr: 4.121e-05, eta: 12:48:34, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2568, decode.acc_seg: 73.0647, aux.loss_ce: 0.1120, aux.acc_seg: 72.4641, loss: 0.3688 2023-01-29 23:30:06,759 - mmseg - INFO - Iter [50150/160000] lr: 4.119e-05, eta: 12:48:10, time: 0.400, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2730, decode.acc_seg: 73.0335, aux.loss_ce: 0.1177, aux.acc_seg: 72.5965, loss: 0.3907 2023-01-29 23:30:26,378 - mmseg - INFO - Iter [50200/160000] lr: 4.118e-05, eta: 12:47:47, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2755, decode.acc_seg: 71.3028, aux.loss_ce: 0.1202, aux.acc_seg: 70.8550, loss: 0.3957 2023-01-29 23:30:46,468 - mmseg - INFO - Iter [50250/160000] lr: 4.116e-05, eta: 12:47:24, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2571, decode.acc_seg: 71.6231, aux.loss_ce: 0.1118, aux.acc_seg: 71.1383, loss: 0.3689 2023-01-29 23:31:06,269 - mmseg - INFO - Iter [50300/160000] lr: 4.114e-05, eta: 12:47:00, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2651, decode.acc_seg: 70.4983, aux.loss_ce: 0.1142, aux.acc_seg: 70.0881, loss: 0.3792 2023-01-29 23:31:26,482 - mmseg - INFO - Iter [50350/160000] lr: 4.112e-05, eta: 12:46:37, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2761, decode.acc_seg: 71.2375, aux.loss_ce: 0.1194, aux.acc_seg: 70.7315, loss: 0.3955 2023-01-29 23:31:46,466 - mmseg - INFO - Iter [50400/160000] lr: 4.110e-05, eta: 12:46:14, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2681, decode.acc_seg: 72.6663, aux.loss_ce: 0.1159, aux.acc_seg: 72.2496, loss: 0.3841 2023-01-29 23:32:06,180 - mmseg - INFO - Iter [50450/160000] lr: 4.108e-05, eta: 12:45:51, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2707, decode.acc_seg: 73.2287, aux.loss_ce: 0.1188, aux.acc_seg: 72.6008, loss: 0.3894 2023-01-29 23:32:25,914 - mmseg - INFO - Iter [50500/160000] lr: 4.106e-05, eta: 12:45:27, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2764, decode.acc_seg: 71.4753, aux.loss_ce: 0.1193, aux.acc_seg: 70.9870, loss: 0.3958 2023-01-29 23:32:48,168 - mmseg - INFO - Iter [50550/160000] lr: 4.104e-05, eta: 12:45:09, time: 0.445, data_time: 0.052, memory: 12319, decode.loss_ce: 0.2767, decode.acc_seg: 72.1372, aux.loss_ce: 0.1198, aux.acc_seg: 71.6796, loss: 0.3966 2023-01-29 23:33:07,960 - mmseg - INFO - Iter [50600/160000] lr: 4.103e-05, eta: 12:44:45, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2451, decode.acc_seg: 73.8267, aux.loss_ce: 0.1086, aux.acc_seg: 73.0712, loss: 0.3537 2023-01-29 23:33:27,928 - mmseg - INFO - Iter [50650/160000] lr: 4.101e-05, eta: 12:44:22, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2561, decode.acc_seg: 71.5730, aux.loss_ce: 0.1123, aux.acc_seg: 70.9376, loss: 0.3683 2023-01-29 23:33:47,528 - mmseg - INFO - Iter [50700/160000] lr: 4.099e-05, eta: 12:43:58, time: 0.395, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2611, decode.acc_seg: 71.9146, aux.loss_ce: 0.1142, aux.acc_seg: 71.2489, loss: 0.3753 2023-01-29 23:34:07,207 - mmseg - INFO - Iter [50750/160000] lr: 4.097e-05, eta: 12:43:34, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2507, decode.acc_seg: 71.3211, aux.loss_ce: 0.1095, aux.acc_seg: 70.7162, loss: 0.3602 2023-01-29 23:34:26,735 - mmseg - INFO - Iter [50800/160000] lr: 4.095e-05, eta: 12:43:10, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2592, decode.acc_seg: 73.9956, aux.loss_ce: 0.1126, aux.acc_seg: 73.4855, loss: 0.3718 2023-01-29 23:34:46,502 - mmseg - INFO - Iter [50850/160000] lr: 4.093e-05, eta: 12:42:47, time: 0.395, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2516, decode.acc_seg: 72.3271, aux.loss_ce: 0.1108, aux.acc_seg: 71.7412, loss: 0.3625 2023-01-29 23:35:06,229 - mmseg - INFO - Iter [50900/160000] lr: 4.091e-05, eta: 12:42:23, time: 0.395, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2652, decode.acc_seg: 72.1661, aux.loss_ce: 0.1163, aux.acc_seg: 71.5820, loss: 0.3814 2023-01-29 23:35:25,852 - mmseg - INFO - Iter [50950/160000] lr: 4.089e-05, eta: 12:41:59, time: 0.395, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2626, decode.acc_seg: 71.0563, aux.loss_ce: 0.1131, aux.acc_seg: 70.5556, loss: 0.3757 2023-01-29 23:35:45,456 - mmseg - INFO - Saving checkpoint at 51000 iterations 2023-01-29 23:35:55,430 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 23:35:55,430 - mmseg - INFO - Iter [51000/160000] lr: 4.088e-05, eta: 12:41:57, time: 0.591, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2915, decode.acc_seg: 72.4393, aux.loss_ce: 0.1259, aux.acc_seg: 71.9134, loss: 0.4175 2023-01-29 23:36:15,659 - mmseg - INFO - Iter [51050/160000] lr: 4.086e-05, eta: 12:41:34, time: 0.405, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2587, decode.acc_seg: 72.3739, aux.loss_ce: 0.1134, aux.acc_seg: 71.7601, loss: 0.3720 2023-01-29 23:36:35,757 - mmseg - INFO - Iter [51100/160000] lr: 4.084e-05, eta: 12:41:11, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2533, decode.acc_seg: 70.2013, aux.loss_ce: 0.1102, aux.acc_seg: 69.6096, loss: 0.3634 2023-01-29 23:36:55,398 - mmseg - INFO - Iter [51150/160000] lr: 4.082e-05, eta: 12:40:48, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2581, decode.acc_seg: 72.1839, aux.loss_ce: 0.1118, aux.acc_seg: 71.5300, loss: 0.3699 2023-01-29 23:37:15,365 - mmseg - INFO - Iter [51200/160000] lr: 4.080e-05, eta: 12:40:25, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2590, decode.acc_seg: 71.8250, aux.loss_ce: 0.1129, aux.acc_seg: 71.2071, loss: 0.3718 2023-01-29 23:37:35,260 - mmseg - INFO - Iter [51250/160000] lr: 4.078e-05, eta: 12:40:01, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2667, decode.acc_seg: 71.2784, aux.loss_ce: 0.1162, aux.acc_seg: 70.7665, loss: 0.3828 2023-01-29 23:37:54,616 - mmseg - INFO - Iter [51300/160000] lr: 4.076e-05, eta: 12:39:37, time: 0.387, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2572, decode.acc_seg: 71.9717, aux.loss_ce: 0.1139, aux.acc_seg: 71.3108, loss: 0.3711 2023-01-29 23:38:14,439 - mmseg - INFO - Iter [51350/160000] lr: 4.074e-05, eta: 12:39:14, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2514, decode.acc_seg: 74.2773, aux.loss_ce: 0.1110, aux.acc_seg: 73.6971, loss: 0.3624 2023-01-29 23:38:34,002 - mmseg - INFO - Iter [51400/160000] lr: 4.073e-05, eta: 12:38:50, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2443, decode.acc_seg: 72.2797, aux.loss_ce: 0.1073, aux.acc_seg: 71.8476, loss: 0.3516 2023-01-29 23:38:53,783 - mmseg - INFO - Iter [51450/160000] lr: 4.071e-05, eta: 12:38:26, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2503, decode.acc_seg: 71.3174, aux.loss_ce: 0.1077, aux.acc_seg: 70.9452, loss: 0.3580 2023-01-29 23:39:13,625 - mmseg - INFO - Iter [51500/160000] lr: 4.069e-05, eta: 12:38:03, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2519, decode.acc_seg: 71.8608, aux.loss_ce: 0.1098, aux.acc_seg: 71.3200, loss: 0.3617 2023-01-29 23:39:33,289 - mmseg - INFO - Iter [51550/160000] lr: 4.067e-05, eta: 12:37:39, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2526, decode.acc_seg: 72.0262, aux.loss_ce: 0.1107, aux.acc_seg: 71.4780, loss: 0.3633 2023-01-29 23:39:53,012 - mmseg - INFO - Iter [51600/160000] lr: 4.065e-05, eta: 12:37:16, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2638, decode.acc_seg: 72.4260, aux.loss_ce: 0.1152, aux.acc_seg: 71.7983, loss: 0.3790 2023-01-29 23:40:12,547 - mmseg - INFO - Iter [51650/160000] lr: 4.063e-05, eta: 12:36:51, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2652, decode.acc_seg: 72.4799, aux.loss_ce: 0.1142, aux.acc_seg: 72.0340, loss: 0.3795 2023-01-29 23:40:31,975 - mmseg - INFO - Iter [51700/160000] lr: 4.061e-05, eta: 12:36:27, time: 0.389, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2813, decode.acc_seg: 71.9064, aux.loss_ce: 0.1213, aux.acc_seg: 71.3261, loss: 0.4026 2023-01-29 23:40:51,648 - mmseg - INFO - Iter [51750/160000] lr: 4.059e-05, eta: 12:36:04, time: 0.396, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2710, decode.acc_seg: 72.5291, aux.loss_ce: 0.1175, aux.acc_seg: 72.1002, loss: 0.3885 2023-01-29 23:41:13,944 - mmseg - INFO - Iter [51800/160000] lr: 4.058e-05, eta: 12:35:46, time: 0.446, data_time: 0.048, memory: 12319, decode.loss_ce: 0.2488, decode.acc_seg: 72.6449, aux.loss_ce: 0.1092, aux.acc_seg: 72.0638, loss: 0.3579 2023-01-29 23:41:38,753 - mmseg - INFO - Iter [51850/160000] lr: 4.056e-05, eta: 12:35:33, time: 0.496, data_time: 0.096, memory: 12319, decode.loss_ce: 0.2323, decode.acc_seg: 72.8021, aux.loss_ce: 0.1040, aux.acc_seg: 72.1652, loss: 0.3363 2023-01-29 23:41:58,493 - mmseg - INFO - Iter [51900/160000] lr: 4.054e-05, eta: 12:35:09, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2707, decode.acc_seg: 72.0106, aux.loss_ce: 0.1164, aux.acc_seg: 71.4623, loss: 0.3871 2023-01-29 23:42:18,304 - mmseg - INFO - Iter [51950/160000] lr: 4.052e-05, eta: 12:34:46, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2514, decode.acc_seg: 73.1986, aux.loss_ce: 0.1111, aux.acc_seg: 72.5525, loss: 0.3626 2023-01-29 23:42:38,122 - mmseg - INFO - Saving checkpoint at 52000 iterations 2023-01-29 23:42:48,284 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 23:42:48,284 - mmseg - INFO - Iter [52000/160000] lr: 4.050e-05, eta: 12:34:44, time: 0.600, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2416, decode.acc_seg: 73.1215, aux.loss_ce: 0.1049, aux.acc_seg: 72.6638, loss: 0.3465 2023-01-29 23:43:08,195 - mmseg - INFO - Iter [52050/160000] lr: 4.048e-05, eta: 12:34:21, time: 0.398, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2665, decode.acc_seg: 73.2075, aux.loss_ce: 0.1155, aux.acc_seg: 72.6044, loss: 0.3819 2023-01-29 23:43:28,093 - mmseg - INFO - Iter [52100/160000] lr: 4.046e-05, eta: 12:33:57, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2499, decode.acc_seg: 71.0990, aux.loss_ce: 0.1104, aux.acc_seg: 70.5565, loss: 0.3603 2023-01-29 23:43:47,720 - mmseg - INFO - Iter [52150/160000] lr: 4.044e-05, eta: 12:33:34, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2543, decode.acc_seg: 71.0669, aux.loss_ce: 0.1107, aux.acc_seg: 70.4723, loss: 0.3651 2023-01-29 23:44:07,258 - mmseg - INFO - Iter [52200/160000] lr: 4.043e-05, eta: 12:33:10, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2484, decode.acc_seg: 71.0859, aux.loss_ce: 0.1091, aux.acc_seg: 70.4341, loss: 0.3575 2023-01-29 23:44:26,644 - mmseg - INFO - Iter [52250/160000] lr: 4.041e-05, eta: 12:32:46, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2731, decode.acc_seg: 72.3738, aux.loss_ce: 0.1195, aux.acc_seg: 71.7499, loss: 0.3926 2023-01-29 23:44:46,201 - mmseg - INFO - Iter [52300/160000] lr: 4.039e-05, eta: 12:32:22, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2593, decode.acc_seg: 73.4184, aux.loss_ce: 0.1122, aux.acc_seg: 72.9117, loss: 0.3714 2023-01-29 23:45:05,656 - mmseg - INFO - Iter [52350/160000] lr: 4.037e-05, eta: 12:31:58, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2566, decode.acc_seg: 72.8703, aux.loss_ce: 0.1118, aux.acc_seg: 72.4314, loss: 0.3684 2023-01-29 23:45:25,404 - mmseg - INFO - Iter [52400/160000] lr: 4.035e-05, eta: 12:31:34, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2468, decode.acc_seg: 71.2640, aux.loss_ce: 0.1078, aux.acc_seg: 70.7199, loss: 0.3546 2023-01-29 23:45:44,983 - mmseg - INFO - Iter [52450/160000] lr: 4.033e-05, eta: 12:31:10, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2682, decode.acc_seg: 72.1592, aux.loss_ce: 0.1166, aux.acc_seg: 71.6119, loss: 0.3849 2023-01-29 23:46:04,683 - mmseg - INFO - Iter [52500/160000] lr: 4.031e-05, eta: 12:30:47, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2528, decode.acc_seg: 71.4365, aux.loss_ce: 0.1106, aux.acc_seg: 70.7615, loss: 0.3635 2023-01-29 23:46:24,120 - mmseg - INFO - Iter [52550/160000] lr: 4.029e-05, eta: 12:30:23, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2734, decode.acc_seg: 73.3422, aux.loss_ce: 0.1193, aux.acc_seg: 72.7255, loss: 0.3927 2023-01-29 23:46:43,750 - mmseg - INFO - Iter [52600/160000] lr: 4.028e-05, eta: 12:29:59, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2464, decode.acc_seg: 73.0770, aux.loss_ce: 0.1081, aux.acc_seg: 72.5143, loss: 0.3545 2023-01-29 23:47:03,264 - mmseg - INFO - Iter [52650/160000] lr: 4.026e-05, eta: 12:29:35, time: 0.390, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2686, decode.acc_seg: 72.9953, aux.loss_ce: 0.1179, aux.acc_seg: 72.3777, loss: 0.3865 2023-01-29 23:47:22,988 - mmseg - INFO - Iter [52700/160000] lr: 4.024e-05, eta: 12:29:12, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2529, decode.acc_seg: 72.3400, aux.loss_ce: 0.1102, aux.acc_seg: 71.7457, loss: 0.3631 2023-01-29 23:47:42,436 - mmseg - INFO - Iter [52750/160000] lr: 4.022e-05, eta: 12:28:48, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2369, decode.acc_seg: 71.2120, aux.loss_ce: 0.1035, aux.acc_seg: 70.7240, loss: 0.3404 2023-01-29 23:48:02,018 - mmseg - INFO - Iter [52800/160000] lr: 4.020e-05, eta: 12:28:24, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2692, decode.acc_seg: 71.8947, aux.loss_ce: 0.1170, aux.acc_seg: 71.3510, loss: 0.3862 2023-01-29 23:48:21,984 - mmseg - INFO - Iter [52850/160000] lr: 4.018e-05, eta: 12:28:01, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2428, decode.acc_seg: 71.7941, aux.loss_ce: 0.1051, aux.acc_seg: 71.2168, loss: 0.3479 2023-01-29 23:48:41,995 - mmseg - INFO - Iter [52900/160000] lr: 4.016e-05, eta: 12:27:38, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2576, decode.acc_seg: 73.7613, aux.loss_ce: 0.1128, aux.acc_seg: 73.2050, loss: 0.3704 2023-01-29 23:49:01,444 - mmseg - INFO - Iter [52950/160000] lr: 4.014e-05, eta: 12:27:14, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2690, decode.acc_seg: 72.4591, aux.loss_ce: 0.1178, aux.acc_seg: 71.8500, loss: 0.3868 2023-01-29 23:49:21,034 - mmseg - INFO - Saving checkpoint at 53000 iterations 2023-01-29 23:49:31,350 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 23:49:31,350 - mmseg - INFO - Iter [53000/160000] lr: 4.013e-05, eta: 12:27:12, time: 0.599, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2639, decode.acc_seg: 72.6707, aux.loss_ce: 0.1153, aux.acc_seg: 72.0928, loss: 0.3792 2023-01-29 23:49:53,573 - mmseg - INFO - Iter [53050/160000] lr: 4.011e-05, eta: 12:26:53, time: 0.444, data_time: 0.052, memory: 12319, decode.loss_ce: 0.2735, decode.acc_seg: 72.2024, aux.loss_ce: 0.1175, aux.acc_seg: 71.8017, loss: 0.3911 2023-01-29 23:50:13,348 - mmseg - INFO - Iter [53100/160000] lr: 4.009e-05, eta: 12:26:30, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2479, decode.acc_seg: 74.0012, aux.loss_ce: 0.1078, aux.acc_seg: 73.3838, loss: 0.3557 2023-01-29 23:50:32,817 - mmseg - INFO - Iter [53150/160000] lr: 4.007e-05, eta: 12:26:06, time: 0.390, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2597, decode.acc_seg: 72.2564, aux.loss_ce: 0.1144, aux.acc_seg: 71.6905, loss: 0.3741 2023-01-29 23:50:52,328 - mmseg - INFO - Iter [53200/160000] lr: 4.005e-05, eta: 12:25:42, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2576, decode.acc_seg: 72.6600, aux.loss_ce: 0.1123, aux.acc_seg: 72.1799, loss: 0.3699 2023-01-29 23:51:11,980 - mmseg - INFO - Iter [53250/160000] lr: 4.003e-05, eta: 12:25:19, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2442, decode.acc_seg: 73.2770, aux.loss_ce: 0.1079, aux.acc_seg: 72.6477, loss: 0.3521 2023-01-29 23:51:31,892 - mmseg - INFO - Iter [53300/160000] lr: 4.001e-05, eta: 12:24:56, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2380, decode.acc_seg: 71.9937, aux.loss_ce: 0.1042, aux.acc_seg: 71.4954, loss: 0.3422 2023-01-29 23:51:51,614 - mmseg - INFO - Iter [53350/160000] lr: 3.999e-05, eta: 12:24:32, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2559, decode.acc_seg: 72.4374, aux.loss_ce: 0.1112, aux.acc_seg: 71.8951, loss: 0.3671 2023-01-29 23:52:11,250 - mmseg - INFO - Iter [53400/160000] lr: 3.998e-05, eta: 12:24:09, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2673, decode.acc_seg: 72.4352, aux.loss_ce: 0.1150, aux.acc_seg: 71.9770, loss: 0.3823 2023-01-29 23:52:31,140 - mmseg - INFO - Iter [53450/160000] lr: 3.996e-05, eta: 12:23:46, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2543, decode.acc_seg: 72.0576, aux.loss_ce: 0.1119, aux.acc_seg: 71.4009, loss: 0.3661 2023-01-29 23:52:50,763 - mmseg - INFO - Iter [53500/160000] lr: 3.994e-05, eta: 12:23:22, time: 0.393, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2458, decode.acc_seg: 72.5062, aux.loss_ce: 0.1086, aux.acc_seg: 71.8660, loss: 0.3543 2023-01-29 23:53:10,155 - mmseg - INFO - Iter [53550/160000] lr: 3.992e-05, eta: 12:22:58, time: 0.387, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2598, decode.acc_seg: 72.0896, aux.loss_ce: 0.1130, aux.acc_seg: 71.4856, loss: 0.3728 2023-01-29 23:53:29,778 - mmseg - INFO - Iter [53600/160000] lr: 3.990e-05, eta: 12:22:34, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2568, decode.acc_seg: 73.2812, aux.loss_ce: 0.1127, aux.acc_seg: 72.6570, loss: 0.3695 2023-01-29 23:53:49,670 - mmseg - INFO - Iter [53650/160000] lr: 3.988e-05, eta: 12:22:11, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2444, decode.acc_seg: 72.8580, aux.loss_ce: 0.1054, aux.acc_seg: 72.3392, loss: 0.3498 2023-01-29 23:54:09,554 - mmseg - INFO - Iter [53700/160000] lr: 3.986e-05, eta: 12:21:48, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2452, decode.acc_seg: 72.5419, aux.loss_ce: 0.1078, aux.acc_seg: 71.9782, loss: 0.3530 2023-01-29 23:54:29,313 - mmseg - INFO - Iter [53750/160000] lr: 3.984e-05, eta: 12:21:25, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2683, decode.acc_seg: 72.8928, aux.loss_ce: 0.1142, aux.acc_seg: 72.3820, loss: 0.3825 2023-01-29 23:54:49,066 - mmseg - INFO - Iter [53800/160000] lr: 3.983e-05, eta: 12:21:02, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2385, decode.acc_seg: 72.5851, aux.loss_ce: 0.1055, aux.acc_seg: 71.9543, loss: 0.3440 2023-01-29 23:55:08,790 - mmseg - INFO - Iter [53850/160000] lr: 3.981e-05, eta: 12:20:39, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2844, decode.acc_seg: 72.5383, aux.loss_ce: 0.1227, aux.acc_seg: 71.9974, loss: 0.4071 2023-01-29 23:55:28,492 - mmseg - INFO - Iter [53900/160000] lr: 3.979e-05, eta: 12:20:15, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2600, decode.acc_seg: 72.0492, aux.loss_ce: 0.1129, aux.acc_seg: 71.4309, loss: 0.3728 2023-01-29 23:55:48,309 - mmseg - INFO - Iter [53950/160000] lr: 3.977e-05, eta: 12:19:52, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2473, decode.acc_seg: 70.6213, aux.loss_ce: 0.1082, aux.acc_seg: 70.0676, loss: 0.3555 2023-01-29 23:56:08,105 - mmseg - INFO - Saving checkpoint at 54000 iterations 2023-01-29 23:56:18,954 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-29 23:56:18,954 - mmseg - INFO - Iter [54000/160000] lr: 3.975e-05, eta: 12:19:50, time: 0.613, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2396, decode.acc_seg: 71.3735, aux.loss_ce: 0.1042, aux.acc_seg: 70.8668, loss: 0.3438 2023-01-29 23:56:39,503 - mmseg - INFO - Iter [54050/160000] lr: 3.973e-05, eta: 12:19:29, time: 0.411, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2398, decode.acc_seg: 73.0651, aux.loss_ce: 0.1052, aux.acc_seg: 72.5483, loss: 0.3450 2023-01-29 23:56:59,110 - mmseg - INFO - Iter [54100/160000] lr: 3.971e-05, eta: 12:19:05, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2285, decode.acc_seg: 71.6312, aux.loss_ce: 0.1008, aux.acc_seg: 71.1042, loss: 0.3292 2023-01-29 23:57:18,867 - mmseg - INFO - Iter [54150/160000] lr: 3.969e-05, eta: 12:18:42, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2562, decode.acc_seg: 73.0092, aux.loss_ce: 0.1114, aux.acc_seg: 72.4695, loss: 0.3676 2023-01-29 23:57:38,500 - mmseg - INFO - Iter [54200/160000] lr: 3.968e-05, eta: 12:18:18, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2548, decode.acc_seg: 71.6843, aux.loss_ce: 0.1113, aux.acc_seg: 71.1940, loss: 0.3662 2023-01-29 23:57:57,965 - mmseg - INFO - Iter [54250/160000] lr: 3.966e-05, eta: 12:17:54, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2619, decode.acc_seg: 72.4797, aux.loss_ce: 0.1149, aux.acc_seg: 71.8614, loss: 0.3768 2023-01-29 23:58:18,024 - mmseg - INFO - Iter [54300/160000] lr: 3.964e-05, eta: 12:17:32, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2577, decode.acc_seg: 72.7086, aux.loss_ce: 0.1119, aux.acc_seg: 72.2339, loss: 0.3696 2023-01-29 23:58:40,592 - mmseg - INFO - Iter [54350/160000] lr: 3.962e-05, eta: 12:17:14, time: 0.451, data_time: 0.052, memory: 12319, decode.loss_ce: 0.2437, decode.acc_seg: 73.1551, aux.loss_ce: 0.1076, aux.acc_seg: 72.5978, loss: 0.3513 2023-01-29 23:59:00,350 - mmseg - INFO - Iter [54400/160000] lr: 3.960e-05, eta: 12:16:51, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2477, decode.acc_seg: 72.1338, aux.loss_ce: 0.1092, aux.acc_seg: 71.5619, loss: 0.3570 2023-01-29 23:59:20,262 - mmseg - INFO - Iter [54450/160000] lr: 3.958e-05, eta: 12:16:28, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2504, decode.acc_seg: 72.3182, aux.loss_ce: 0.1102, aux.acc_seg: 71.6667, loss: 0.3606 2023-01-29 23:59:40,142 - mmseg - INFO - Iter [54500/160000] lr: 3.956e-05, eta: 12:16:05, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2516, decode.acc_seg: 72.8031, aux.loss_ce: 0.1097, aux.acc_seg: 72.2058, loss: 0.3613 2023-01-30 00:00:00,146 - mmseg - INFO - Iter [54550/160000] lr: 3.954e-05, eta: 12:15:42, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2371, decode.acc_seg: 73.2471, aux.loss_ce: 0.1046, aux.acc_seg: 72.6521, loss: 0.3417 2023-01-30 00:00:21,815 - mmseg - INFO - Iter [54600/160000] lr: 3.953e-05, eta: 12:15:23, time: 0.433, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2399, decode.acc_seg: 71.9783, aux.loss_ce: 0.1051, aux.acc_seg: 71.4747, loss: 0.3450 2023-01-30 00:00:41,527 - mmseg - INFO - Iter [54650/160000] lr: 3.951e-05, eta: 12:14:59, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2530, decode.acc_seg: 72.6732, aux.loss_ce: 0.1112, aux.acc_seg: 72.0489, loss: 0.3642 2023-01-30 00:01:01,256 - mmseg - INFO - Iter [54700/160000] lr: 3.949e-05, eta: 12:14:36, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2499, decode.acc_seg: 71.0569, aux.loss_ce: 0.1095, aux.acc_seg: 70.4631, loss: 0.3595 2023-01-30 00:01:20,989 - mmseg - INFO - Iter [54750/160000] lr: 3.947e-05, eta: 12:14:13, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2461, decode.acc_seg: 72.6066, aux.loss_ce: 0.1087, aux.acc_seg: 71.9859, loss: 0.3548 2023-01-30 00:01:40,960 - mmseg - INFO - Iter [54800/160000] lr: 3.945e-05, eta: 12:13:50, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2364, decode.acc_seg: 71.5767, aux.loss_ce: 0.1033, aux.acc_seg: 71.0703, loss: 0.3397 2023-01-30 00:02:00,530 - mmseg - INFO - Iter [54850/160000] lr: 3.943e-05, eta: 12:13:27, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2707, decode.acc_seg: 72.2242, aux.loss_ce: 0.1182, aux.acc_seg: 71.6504, loss: 0.3888 2023-01-30 00:02:20,339 - mmseg - INFO - Iter [54900/160000] lr: 3.941e-05, eta: 12:13:04, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2415, decode.acc_seg: 72.0651, aux.loss_ce: 0.1052, aux.acc_seg: 71.5459, loss: 0.3467 2023-01-30 00:02:40,624 - mmseg - INFO - Iter [54950/160000] lr: 3.939e-05, eta: 12:12:41, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2410, decode.acc_seg: 72.1570, aux.loss_ce: 0.1059, aux.acc_seg: 71.5001, loss: 0.3469 2023-01-30 00:03:00,190 - mmseg - INFO - Saving checkpoint at 55000 iterations 2023-01-30 00:03:10,814 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 00:03:10,823 - mmseg - INFO - Iter [55000/160000] lr: 3.938e-05, eta: 12:12:38, time: 0.605, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2565, decode.acc_seg: 72.4985, aux.loss_ce: 0.1113, aux.acc_seg: 71.9829, loss: 0.3678 2023-01-30 00:03:31,339 - mmseg - INFO - Iter [55050/160000] lr: 3.936e-05, eta: 12:12:17, time: 0.412, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2403, decode.acc_seg: 72.9166, aux.loss_ce: 0.1060, aux.acc_seg: 72.4572, loss: 0.3463 2023-01-30 00:03:51,284 - mmseg - INFO - Iter [55100/160000] lr: 3.934e-05, eta: 12:11:54, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2618, decode.acc_seg: 74.2664, aux.loss_ce: 0.1131, aux.acc_seg: 73.7554, loss: 0.3749 2023-01-30 00:04:10,895 - mmseg - INFO - Iter [55150/160000] lr: 3.932e-05, eta: 12:11:30, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2518, decode.acc_seg: 73.3841, aux.loss_ce: 0.1097, aux.acc_seg: 72.9511, loss: 0.3615 2023-01-30 00:04:30,476 - mmseg - INFO - Iter [55200/160000] lr: 3.930e-05, eta: 12:11:07, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2527, decode.acc_seg: 72.3032, aux.loss_ce: 0.1096, aux.acc_seg: 71.9082, loss: 0.3623 2023-01-30 00:04:50,043 - mmseg - INFO - Iter [55250/160000] lr: 3.928e-05, eta: 12:10:43, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2521, decode.acc_seg: 71.6992, aux.loss_ce: 0.1108, aux.acc_seg: 71.1168, loss: 0.3628 2023-01-30 00:05:09,980 - mmseg - INFO - Iter [55300/160000] lr: 3.926e-05, eta: 12:10:20, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2518, decode.acc_seg: 71.0581, aux.loss_ce: 0.1097, aux.acc_seg: 70.5501, loss: 0.3615 2023-01-30 00:05:29,694 - mmseg - INFO - Iter [55350/160000] lr: 3.924e-05, eta: 12:09:57, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2495, decode.acc_seg: 72.5360, aux.loss_ce: 0.1090, aux.acc_seg: 71.9579, loss: 0.3585 2023-01-30 00:05:49,319 - mmseg - INFO - Iter [55400/160000] lr: 3.923e-05, eta: 12:09:34, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2418, decode.acc_seg: 72.7795, aux.loss_ce: 0.1058, aux.acc_seg: 72.2730, loss: 0.3477 2023-01-30 00:06:08,853 - mmseg - INFO - Iter [55450/160000] lr: 3.921e-05, eta: 12:09:10, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2574, decode.acc_seg: 73.0860, aux.loss_ce: 0.1132, aux.acc_seg: 72.2870, loss: 0.3706 2023-01-30 00:06:28,476 - mmseg - INFO - Iter [55500/160000] lr: 3.919e-05, eta: 12:08:47, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2593, decode.acc_seg: 72.9806, aux.loss_ce: 0.1128, aux.acc_seg: 72.4946, loss: 0.3721 2023-01-30 00:06:48,120 - mmseg - INFO - Iter [55550/160000] lr: 3.917e-05, eta: 12:08:24, time: 0.393, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2533, decode.acc_seg: 71.8281, aux.loss_ce: 0.1105, aux.acc_seg: 71.3250, loss: 0.3638 2023-01-30 00:07:10,291 - mmseg - INFO - Iter [55600/160000] lr: 3.915e-05, eta: 12:08:05, time: 0.443, data_time: 0.051, memory: 12319, decode.loss_ce: 0.2556, decode.acc_seg: 72.4601, aux.loss_ce: 0.1117, aux.acc_seg: 71.9281, loss: 0.3673 2023-01-30 00:07:30,150 - mmseg - INFO - Iter [55650/160000] lr: 3.913e-05, eta: 12:07:42, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2285, decode.acc_seg: 74.0155, aux.loss_ce: 0.0994, aux.acc_seg: 73.5944, loss: 0.3279 2023-01-30 00:07:50,125 - mmseg - INFO - Iter [55700/160000] lr: 3.911e-05, eta: 12:07:19, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2299, decode.acc_seg: 73.7921, aux.loss_ce: 0.1016, aux.acc_seg: 73.2338, loss: 0.3315 2023-01-30 00:08:09,912 - mmseg - INFO - Iter [55750/160000] lr: 3.909e-05, eta: 12:06:56, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2370, decode.acc_seg: 71.5335, aux.loss_ce: 0.1038, aux.acc_seg: 70.9772, loss: 0.3408 2023-01-30 00:08:29,709 - mmseg - INFO - Iter [55800/160000] lr: 3.908e-05, eta: 12:06:33, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2599, decode.acc_seg: 73.5580, aux.loss_ce: 0.1139, aux.acc_seg: 73.0647, loss: 0.3738 2023-01-30 00:08:49,477 - mmseg - INFO - Iter [55850/160000] lr: 3.906e-05, eta: 12:06:10, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2324, decode.acc_seg: 71.3593, aux.loss_ce: 0.1010, aux.acc_seg: 70.8877, loss: 0.3334 2023-01-30 00:09:09,247 - mmseg - INFO - Iter [55900/160000] lr: 3.904e-05, eta: 12:05:47, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2684, decode.acc_seg: 73.1411, aux.loss_ce: 0.1174, aux.acc_seg: 72.5622, loss: 0.3859 2023-01-30 00:09:28,663 - mmseg - INFO - Iter [55950/160000] lr: 3.902e-05, eta: 12:05:24, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2411, decode.acc_seg: 73.3242, aux.loss_ce: 0.1047, aux.acc_seg: 72.8651, loss: 0.3457 2023-01-30 00:09:48,552 - mmseg - INFO - Saving checkpoint at 56000 iterations 2023-01-30 00:09:59,532 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 00:09:59,533 - mmseg - INFO - Iter [56000/160000] lr: 3.900e-05, eta: 12:05:21, time: 0.617, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2600, decode.acc_seg: 72.9871, aux.loss_ce: 0.1122, aux.acc_seg: 72.3830, loss: 0.3723 2023-01-30 00:10:19,649 - mmseg - INFO - Iter [56050/160000] lr: 3.898e-05, eta: 12:04:59, time: 0.403, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2383, decode.acc_seg: 74.0408, aux.loss_ce: 0.1052, aux.acc_seg: 73.4673, loss: 0.3435 2023-01-30 00:10:39,660 - mmseg - INFO - Iter [56100/160000] lr: 3.896e-05, eta: 12:04:36, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2404, decode.acc_seg: 71.9772, aux.loss_ce: 0.1071, aux.acc_seg: 71.3381, loss: 0.3474 2023-01-30 00:10:59,438 - mmseg - INFO - Iter [56150/160000] lr: 3.894e-05, eta: 12:04:13, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2397, decode.acc_seg: 71.4211, aux.loss_ce: 0.1045, aux.acc_seg: 70.8949, loss: 0.3442 2023-01-30 00:11:19,203 - mmseg - INFO - Iter [56200/160000] lr: 3.893e-05, eta: 12:03:50, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2368, decode.acc_seg: 73.1400, aux.loss_ce: 0.1031, aux.acc_seg: 72.6372, loss: 0.3399 2023-01-30 00:11:38,962 - mmseg - INFO - Iter [56250/160000] lr: 3.891e-05, eta: 12:03:27, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2321, decode.acc_seg: 73.2159, aux.loss_ce: 0.1020, aux.acc_seg: 72.7190, loss: 0.3341 2023-01-30 00:11:58,468 - mmseg - INFO - Iter [56300/160000] lr: 3.889e-05, eta: 12:03:03, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2368, decode.acc_seg: 72.3346, aux.loss_ce: 0.1037, aux.acc_seg: 71.7965, loss: 0.3405 2023-01-30 00:12:18,379 - mmseg - INFO - Iter [56350/160000] lr: 3.887e-05, eta: 12:02:41, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2351, decode.acc_seg: 73.3791, aux.loss_ce: 0.1029, aux.acc_seg: 72.8210, loss: 0.3380 2023-01-30 00:12:38,083 - mmseg - INFO - Iter [56400/160000] lr: 3.885e-05, eta: 12:02:18, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2531, decode.acc_seg: 71.5673, aux.loss_ce: 0.1110, aux.acc_seg: 70.9570, loss: 0.3641 2023-01-30 00:12:57,782 - mmseg - INFO - Iter [56450/160000] lr: 3.883e-05, eta: 12:01:54, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2579, decode.acc_seg: 71.9749, aux.loss_ce: 0.1135, aux.acc_seg: 71.3811, loss: 0.3714 2023-01-30 00:13:17,356 - mmseg - INFO - Iter [56500/160000] lr: 3.881e-05, eta: 12:01:31, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2520, decode.acc_seg: 71.8711, aux.loss_ce: 0.1106, aux.acc_seg: 71.3244, loss: 0.3625 2023-01-30 00:13:37,050 - mmseg - INFO - Iter [56550/160000] lr: 3.879e-05, eta: 12:01:08, time: 0.397, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2535, decode.acc_seg: 71.9263, aux.loss_ce: 0.1121, aux.acc_seg: 71.2054, loss: 0.3656 2023-01-30 00:13:56,868 - mmseg - INFO - Iter [56600/160000] lr: 3.878e-05, eta: 12:00:45, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2452, decode.acc_seg: 73.0364, aux.loss_ce: 0.1087, aux.acc_seg: 72.3951, loss: 0.3539 2023-01-30 00:14:16,719 - mmseg - INFO - Iter [56650/160000] lr: 3.876e-05, eta: 12:00:22, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2443, decode.acc_seg: 72.6459, aux.loss_ce: 0.1073, aux.acc_seg: 72.0986, loss: 0.3516 2023-01-30 00:14:36,420 - mmseg - INFO - Iter [56700/160000] lr: 3.874e-05, eta: 11:59:59, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2307, decode.acc_seg: 73.3340, aux.loss_ce: 0.1023, aux.acc_seg: 72.6995, loss: 0.3330 2023-01-30 00:14:56,148 - mmseg - INFO - Iter [56750/160000] lr: 3.872e-05, eta: 11:59:36, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2570, decode.acc_seg: 72.4897, aux.loss_ce: 0.1113, aux.acc_seg: 72.0102, loss: 0.3684 2023-01-30 00:15:16,165 - mmseg - INFO - Iter [56800/160000] lr: 3.870e-05, eta: 11:59:13, time: 0.400, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2413, decode.acc_seg: 73.2419, aux.loss_ce: 0.1061, aux.acc_seg: 72.6045, loss: 0.3474 2023-01-30 00:15:38,799 - mmseg - INFO - Iter [56850/160000] lr: 3.868e-05, eta: 11:58:56, time: 0.453, data_time: 0.052, memory: 12319, decode.loss_ce: 0.2374, decode.acc_seg: 73.1662, aux.loss_ce: 0.1050, aux.acc_seg: 72.5474, loss: 0.3424 2023-01-30 00:15:58,545 - mmseg - INFO - Iter [56900/160000] lr: 3.866e-05, eta: 11:58:33, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2319, decode.acc_seg: 72.0457, aux.loss_ce: 0.1005, aux.acc_seg: 71.5003, loss: 0.3324 2023-01-30 00:16:18,012 - mmseg - INFO - Iter [56950/160000] lr: 3.864e-05, eta: 11:58:09, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2312, decode.acc_seg: 72.9910, aux.loss_ce: 0.1025, aux.acc_seg: 72.4217, loss: 0.3337 2023-01-30 00:16:37,661 - mmseg - INFO - Saving checkpoint at 57000 iterations 2023-01-30 00:16:47,732 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 00:16:47,735 - mmseg - INFO - Iter [57000/160000] lr: 3.863e-05, eta: 11:58:04, time: 0.594, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2313, decode.acc_seg: 73.3122, aux.loss_ce: 0.1001, aux.acc_seg: 72.8735, loss: 0.3314 2023-01-30 00:17:07,996 - mmseg - INFO - Iter [57050/160000] lr: 3.861e-05, eta: 11:57:42, time: 0.406, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2345, decode.acc_seg: 73.8320, aux.loss_ce: 0.1027, aux.acc_seg: 73.2919, loss: 0.3372 2023-01-30 00:17:27,428 - mmseg - INFO - Iter [57100/160000] lr: 3.859e-05, eta: 11:57:18, time: 0.389, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2588, decode.acc_seg: 71.0393, aux.loss_ce: 0.1130, aux.acc_seg: 70.4800, loss: 0.3719 2023-01-30 00:17:47,247 - mmseg - INFO - Iter [57150/160000] lr: 3.857e-05, eta: 11:56:56, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2501, decode.acc_seg: 73.9711, aux.loss_ce: 0.1100, aux.acc_seg: 73.3458, loss: 0.3601 2023-01-30 00:18:07,027 - mmseg - INFO - Iter [57200/160000] lr: 3.855e-05, eta: 11:56:33, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2378, decode.acc_seg: 72.1602, aux.loss_ce: 0.1041, aux.acc_seg: 71.6481, loss: 0.3418 2023-01-30 00:18:26,906 - mmseg - INFO - Iter [57250/160000] lr: 3.853e-05, eta: 11:56:10, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2436, decode.acc_seg: 74.1634, aux.loss_ce: 0.1072, aux.acc_seg: 73.5008, loss: 0.3509 2023-01-30 00:18:46,416 - mmseg - INFO - Iter [57300/160000] lr: 3.851e-05, eta: 11:55:46, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2618, decode.acc_seg: 72.1083, aux.loss_ce: 0.1143, aux.acc_seg: 71.6796, loss: 0.3761 2023-01-30 00:19:06,045 - mmseg - INFO - Iter [57350/160000] lr: 3.849e-05, eta: 11:55:23, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2470, decode.acc_seg: 72.4528, aux.loss_ce: 0.1080, aux.acc_seg: 71.8447, loss: 0.3551 2023-01-30 00:19:25,446 - mmseg - INFO - Iter [57400/160000] lr: 3.848e-05, eta: 11:55:00, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2600, decode.acc_seg: 72.1845, aux.loss_ce: 0.1137, aux.acc_seg: 71.6419, loss: 0.3737 2023-01-30 00:19:45,117 - mmseg - INFO - Iter [57450/160000] lr: 3.846e-05, eta: 11:54:36, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2437, decode.acc_seg: 72.6032, aux.loss_ce: 0.1068, aux.acc_seg: 71.9858, loss: 0.3505 2023-01-30 00:20:04,742 - mmseg - INFO - Iter [57500/160000] lr: 3.844e-05, eta: 11:54:13, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2445, decode.acc_seg: 72.6550, aux.loss_ce: 0.1061, aux.acc_seg: 72.1125, loss: 0.3506 2023-01-30 00:20:24,545 - mmseg - INFO - Iter [57550/160000] lr: 3.842e-05, eta: 11:53:50, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2572, decode.acc_seg: 72.7389, aux.loss_ce: 0.1118, aux.acc_seg: 72.2138, loss: 0.3690 2023-01-30 00:20:44,168 - mmseg - INFO - Iter [57600/160000] lr: 3.840e-05, eta: 11:53:27, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2447, decode.acc_seg: 72.5568, aux.loss_ce: 0.1073, aux.acc_seg: 71.9181, loss: 0.3520 2023-01-30 00:21:03,474 - mmseg - INFO - Iter [57650/160000] lr: 3.838e-05, eta: 11:53:04, time: 0.386, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2446, decode.acc_seg: 74.9799, aux.loss_ce: 0.1072, aux.acc_seg: 74.4160, loss: 0.3518 2023-01-30 00:21:23,159 - mmseg - INFO - Iter [57700/160000] lr: 3.836e-05, eta: 11:52:40, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2252, decode.acc_seg: 73.1404, aux.loss_ce: 0.0991, aux.acc_seg: 72.6117, loss: 0.3242 2023-01-30 00:21:42,644 - mmseg - INFO - Iter [57750/160000] lr: 3.834e-05, eta: 11:52:17, time: 0.392, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2408, decode.acc_seg: 72.0328, aux.loss_ce: 0.1050, aux.acc_seg: 71.5064, loss: 0.3458 2023-01-30 00:22:02,645 - mmseg - INFO - Iter [57800/160000] lr: 3.833e-05, eta: 11:51:55, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2342, decode.acc_seg: 73.5967, aux.loss_ce: 0.1024, aux.acc_seg: 73.0572, loss: 0.3366 2023-01-30 00:22:22,295 - mmseg - INFO - Iter [57850/160000] lr: 3.831e-05, eta: 11:51:31, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2574, decode.acc_seg: 72.8403, aux.loss_ce: 0.1121, aux.acc_seg: 72.3144, loss: 0.3695 2023-01-30 00:22:41,989 - mmseg - INFO - Iter [57900/160000] lr: 3.829e-05, eta: 11:51:08, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2440, decode.acc_seg: 73.7933, aux.loss_ce: 0.1083, aux.acc_seg: 73.1673, loss: 0.3523 2023-01-30 00:23:01,476 - mmseg - INFO - Iter [57950/160000] lr: 3.827e-05, eta: 11:50:45, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2481, decode.acc_seg: 70.4462, aux.loss_ce: 0.1079, aux.acc_seg: 70.0024, loss: 0.3561 2023-01-30 00:23:20,995 - mmseg - INFO - Saving checkpoint at 58000 iterations 2023-01-30 00:23:32,006 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 00:23:32,006 - mmseg - INFO - Iter [58000/160000] lr: 3.825e-05, eta: 11:50:41, time: 0.609, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2648, decode.acc_seg: 73.3027, aux.loss_ce: 0.1148, aux.acc_seg: 72.8653, loss: 0.3795 2023-01-30 00:23:51,927 - mmseg - INFO - Iter [58050/160000] lr: 3.823e-05, eta: 11:50:18, time: 0.400, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2325, decode.acc_seg: 73.6396, aux.loss_ce: 0.1027, aux.acc_seg: 73.0063, loss: 0.3352 2023-01-30 00:24:13,821 - mmseg - INFO - Iter [58100/160000] lr: 3.821e-05, eta: 11:49:59, time: 0.438, data_time: 0.052, memory: 12319, decode.loss_ce: 0.2425, decode.acc_seg: 75.0802, aux.loss_ce: 0.1074, aux.acc_seg: 74.5065, loss: 0.3499 2023-01-30 00:24:33,606 - mmseg - INFO - Iter [58150/160000] lr: 3.819e-05, eta: 11:49:36, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2459, decode.acc_seg: 72.3330, aux.loss_ce: 0.1086, aux.acc_seg: 71.8489, loss: 0.3545 2023-01-30 00:24:53,079 - mmseg - INFO - Iter [58200/160000] lr: 3.818e-05, eta: 11:49:13, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2355, decode.acc_seg: 73.3618, aux.loss_ce: 0.1041, aux.acc_seg: 72.7877, loss: 0.3397 2023-01-30 00:25:12,822 - mmseg - INFO - Iter [58250/160000] lr: 3.816e-05, eta: 11:48:50, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2313, decode.acc_seg: 72.6381, aux.loss_ce: 0.1027, aux.acc_seg: 72.0362, loss: 0.3340 2023-01-30 00:25:32,562 - mmseg - INFO - Iter [58300/160000] lr: 3.814e-05, eta: 11:48:27, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2392, decode.acc_seg: 71.3736, aux.loss_ce: 0.1058, aux.acc_seg: 70.7985, loss: 0.3450 2023-01-30 00:25:52,301 - mmseg - INFO - Iter [58350/160000] lr: 3.812e-05, eta: 11:48:04, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2480, decode.acc_seg: 72.8688, aux.loss_ce: 0.1094, aux.acc_seg: 72.2412, loss: 0.3574 2023-01-30 00:26:12,256 - mmseg - INFO - Iter [58400/160000] lr: 3.810e-05, eta: 11:47:42, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2345, decode.acc_seg: 73.1939, aux.loss_ce: 0.1021, aux.acc_seg: 72.7064, loss: 0.3366 2023-01-30 00:26:31,854 - mmseg - INFO - Iter [58450/160000] lr: 3.808e-05, eta: 11:47:19, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2381, decode.acc_seg: 73.5613, aux.loss_ce: 0.1033, aux.acc_seg: 73.1117, loss: 0.3414 2023-01-30 00:26:51,536 - mmseg - INFO - Iter [58500/160000] lr: 3.806e-05, eta: 11:46:56, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2302, decode.acc_seg: 73.1956, aux.loss_ce: 0.1005, aux.acc_seg: 72.8046, loss: 0.3307 2023-01-30 00:27:11,437 - mmseg - INFO - Iter [58550/160000] lr: 3.804e-05, eta: 11:46:33, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2296, decode.acc_seg: 73.3320, aux.loss_ce: 0.1020, aux.acc_seg: 72.7079, loss: 0.3316 2023-01-30 00:27:31,292 - mmseg - INFO - Iter [58600/160000] lr: 3.803e-05, eta: 11:46:10, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2473, decode.acc_seg: 72.3631, aux.loss_ce: 0.1078, aux.acc_seg: 71.8055, loss: 0.3551 2023-01-30 00:27:51,070 - mmseg - INFO - Iter [58650/160000] lr: 3.801e-05, eta: 11:45:47, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2375, decode.acc_seg: 73.8933, aux.loss_ce: 0.1036, aux.acc_seg: 73.3604, loss: 0.3410 2023-01-30 00:28:10,861 - mmseg - INFO - Iter [58700/160000] lr: 3.799e-05, eta: 11:45:25, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2232, decode.acc_seg: 72.1697, aux.loss_ce: 0.0981, aux.acc_seg: 71.7609, loss: 0.3212 2023-01-30 00:28:30,419 - mmseg - INFO - Iter [58750/160000] lr: 3.797e-05, eta: 11:45:01, time: 0.391, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2428, decode.acc_seg: 73.7095, aux.loss_ce: 0.1063, aux.acc_seg: 73.1206, loss: 0.3491 2023-01-30 00:28:50,100 - mmseg - INFO - Iter [58800/160000] lr: 3.795e-05, eta: 11:44:39, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2371, decode.acc_seg: 73.8747, aux.loss_ce: 0.1065, aux.acc_seg: 73.0227, loss: 0.3436 2023-01-30 00:29:09,966 - mmseg - INFO - Iter [58850/160000] lr: 3.793e-05, eta: 11:44:16, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2351, decode.acc_seg: 71.8365, aux.loss_ce: 0.1056, aux.acc_seg: 71.1361, loss: 0.3407 2023-01-30 00:29:29,627 - mmseg - INFO - Iter [58900/160000] lr: 3.791e-05, eta: 11:43:53, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2464, decode.acc_seg: 73.7975, aux.loss_ce: 0.1056, aux.acc_seg: 73.4068, loss: 0.3520 2023-01-30 00:29:49,364 - mmseg - INFO - Iter [58950/160000] lr: 3.789e-05, eta: 11:43:30, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2442, decode.acc_seg: 73.9414, aux.loss_ce: 0.1067, aux.acc_seg: 73.2996, loss: 0.3509 2023-01-30 00:30:08,813 - mmseg - INFO - Saving checkpoint at 59000 iterations 2023-01-30 00:30:19,264 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 00:30:19,271 - mmseg - INFO - Iter [59000/160000] lr: 3.788e-05, eta: 11:43:24, time: 0.593, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2442, decode.acc_seg: 72.8529, aux.loss_ce: 0.1050, aux.acc_seg: 72.4097, loss: 0.3493 2023-01-30 00:30:39,500 - mmseg - INFO - Iter [59050/160000] lr: 3.786e-05, eta: 11:43:03, time: 0.409, data_time: 0.009, memory: 12319, decode.loss_ce: 0.2362, decode.acc_seg: 71.4377, aux.loss_ce: 0.1032, aux.acc_seg: 70.7923, loss: 0.3394 2023-01-30 00:30:59,156 - mmseg - INFO - Iter [59100/160000] lr: 3.784e-05, eta: 11:42:40, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2358, decode.acc_seg: 73.1870, aux.loss_ce: 0.1028, aux.acc_seg: 72.6675, loss: 0.3386 2023-01-30 00:31:19,075 - mmseg - INFO - Iter [59150/160000] lr: 3.782e-05, eta: 11:42:17, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2459, decode.acc_seg: 72.3649, aux.loss_ce: 0.1073, aux.acc_seg: 71.7946, loss: 0.3532 2023-01-30 00:31:38,934 - mmseg - INFO - Iter [59200/160000] lr: 3.780e-05, eta: 11:41:54, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2398, decode.acc_seg: 73.2790, aux.loss_ce: 0.1067, aux.acc_seg: 72.5853, loss: 0.3465 2023-01-30 00:31:58,763 - mmseg - INFO - Iter [59250/160000] lr: 3.778e-05, eta: 11:41:31, time: 0.397, data_time: 0.008, memory: 12319, decode.loss_ce: 0.2534, decode.acc_seg: 71.3226, aux.loss_ce: 0.1110, aux.acc_seg: 70.7396, loss: 0.3644 2023-01-30 00:32:18,664 - mmseg - INFO - Iter [59300/160000] lr: 3.776e-05, eta: 11:41:09, time: 0.398, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2597, decode.acc_seg: 73.4946, aux.loss_ce: 0.1156, aux.acc_seg: 72.6968, loss: 0.3753 2023-01-30 00:32:38,189 - mmseg - INFO - Iter [59350/160000] lr: 3.774e-05, eta: 11:40:46, time: 0.393, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2509, decode.acc_seg: 73.1191, aux.loss_ce: 0.1105, aux.acc_seg: 72.4761, loss: 0.3615 2023-01-30 00:33:00,676 - mmseg - INFO - Iter [59400/160000] lr: 3.773e-05, eta: 11:40:28, time: 0.450, data_time: 0.054, memory: 12319, decode.loss_ce: 0.2386, decode.acc_seg: 74.2468, aux.loss_ce: 0.1056, aux.acc_seg: 73.6506, loss: 0.3442 2023-01-30 00:33:20,087 - mmseg - INFO - Iter [59450/160000] lr: 3.771e-05, eta: 11:40:04, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2425, decode.acc_seg: 72.9595, aux.loss_ce: 0.1052, aux.acc_seg: 72.4326, loss: 0.3478 2023-01-30 00:33:39,548 - mmseg - INFO - Iter [59500/160000] lr: 3.769e-05, eta: 11:39:41, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2265, decode.acc_seg: 72.7284, aux.loss_ce: 0.0983, aux.acc_seg: 72.2275, loss: 0.3248 2023-01-30 00:33:59,016 - mmseg - INFO - Iter [59550/160000] lr: 3.767e-05, eta: 11:39:18, time: 0.387, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2377, decode.acc_seg: 72.7944, aux.loss_ce: 0.1040, aux.acc_seg: 72.2155, loss: 0.3417 2023-01-30 00:34:18,667 - mmseg - INFO - Iter [59600/160000] lr: 3.765e-05, eta: 11:38:55, time: 0.393, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2328, decode.acc_seg: 72.9929, aux.loss_ce: 0.1024, aux.acc_seg: 72.4766, loss: 0.3352 2023-01-30 00:34:38,190 - mmseg - INFO - Iter [59650/160000] lr: 3.763e-05, eta: 11:38:31, time: 0.391, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2283, decode.acc_seg: 73.8061, aux.loss_ce: 0.1011, aux.acc_seg: 73.3051, loss: 0.3294 2023-01-30 00:34:58,064 - mmseg - INFO - Iter [59700/160000] lr: 3.761e-05, eta: 11:38:09, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2340, decode.acc_seg: 75.1192, aux.loss_ce: 0.1032, aux.acc_seg: 74.4378, loss: 0.3372 2023-01-30 00:35:17,619 - mmseg - INFO - Iter [59750/160000] lr: 3.759e-05, eta: 11:37:46, time: 0.394, data_time: 0.009, memory: 12319, decode.loss_ce: 0.2336, decode.acc_seg: 74.3359, aux.loss_ce: 0.1018, aux.acc_seg: 73.8072, loss: 0.3354 2023-01-30 00:35:37,159 - mmseg - INFO - Iter [59800/160000] lr: 3.758e-05, eta: 11:37:23, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2478, decode.acc_seg: 72.9482, aux.loss_ce: 0.1083, aux.acc_seg: 72.4217, loss: 0.3561 2023-01-30 00:35:56,601 - mmseg - INFO - Iter [59850/160000] lr: 3.756e-05, eta: 11:36:59, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2490, decode.acc_seg: 73.3950, aux.loss_ce: 0.1083, aux.acc_seg: 72.7755, loss: 0.3572 2023-01-30 00:36:16,401 - mmseg - INFO - Iter [59900/160000] lr: 3.754e-05, eta: 11:36:37, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2333, decode.acc_seg: 72.8197, aux.loss_ce: 0.1016, aux.acc_seg: 72.3119, loss: 0.3349 2023-01-30 00:36:36,090 - mmseg - INFO - Iter [59950/160000] lr: 3.752e-05, eta: 11:36:14, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2426, decode.acc_seg: 72.8419, aux.loss_ce: 0.1071, aux.acc_seg: 72.2890, loss: 0.3496 2023-01-30 00:36:55,971 - mmseg - INFO - Saving checkpoint at 60000 iterations 2023-01-30 00:37:07,163 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 00:37:07,163 - mmseg - INFO - Iter [60000/160000] lr: 3.750e-05, eta: 11:36:10, time: 0.622, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2395, decode.acc_seg: 72.5986, aux.loss_ce: 0.1056, aux.acc_seg: 72.0200, loss: 0.3452 2023-01-30 00:37:27,186 - mmseg - INFO - Iter [60050/160000] lr: 3.748e-05, eta: 11:35:48, time: 0.400, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2507, decode.acc_seg: 72.7510, aux.loss_ce: 0.1102, aux.acc_seg: 72.1684, loss: 0.3609 2023-01-30 00:37:46,775 - mmseg - INFO - Iter [60100/160000] lr: 3.746e-05, eta: 11:35:25, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2398, decode.acc_seg: 73.0400, aux.loss_ce: 0.1044, aux.acc_seg: 72.6140, loss: 0.3442 2023-01-30 00:38:06,456 - mmseg - INFO - Iter [60150/160000] lr: 3.744e-05, eta: 11:35:02, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2203, decode.acc_seg: 71.8342, aux.loss_ce: 0.0968, aux.acc_seg: 71.2969, loss: 0.3170 2023-01-30 00:38:26,323 - mmseg - INFO - Iter [60200/160000] lr: 3.743e-05, eta: 11:34:39, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2362, decode.acc_seg: 73.7201, aux.loss_ce: 0.1021, aux.acc_seg: 73.3092, loss: 0.3382 2023-01-30 00:38:45,889 - mmseg - INFO - Iter [60250/160000] lr: 3.741e-05, eta: 11:34:16, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2383, decode.acc_seg: 72.6647, aux.loss_ce: 0.1034, aux.acc_seg: 72.1311, loss: 0.3417 2023-01-30 00:39:05,385 - mmseg - INFO - Iter [60300/160000] lr: 3.739e-05, eta: 11:33:53, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2395, decode.acc_seg: 73.3617, aux.loss_ce: 0.1052, aux.acc_seg: 72.7776, loss: 0.3447 2023-01-30 00:39:25,056 - mmseg - INFO - Iter [60350/160000] lr: 3.737e-05, eta: 11:33:30, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2627, decode.acc_seg: 72.1777, aux.loss_ce: 0.1132, aux.acc_seg: 71.6395, loss: 0.3760 2023-01-30 00:39:44,976 - mmseg - INFO - Iter [60400/160000] lr: 3.735e-05, eta: 11:33:08, time: 0.398, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2488, decode.acc_seg: 73.7352, aux.loss_ce: 0.1083, aux.acc_seg: 73.0647, loss: 0.3572 2023-01-30 00:40:04,703 - mmseg - INFO - Iter [60450/160000] lr: 3.733e-05, eta: 11:32:45, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2388, decode.acc_seg: 73.3770, aux.loss_ce: 0.1054, aux.acc_seg: 72.7360, loss: 0.3442 2023-01-30 00:40:24,811 - mmseg - INFO - Iter [60500/160000] lr: 3.731e-05, eta: 11:32:23, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2303, decode.acc_seg: 73.0149, aux.loss_ce: 0.1010, aux.acc_seg: 72.5453, loss: 0.3312 2023-01-30 00:40:44,797 - mmseg - INFO - Iter [60550/160000] lr: 3.729e-05, eta: 11:32:00, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2532, decode.acc_seg: 71.6737, aux.loss_ce: 0.1105, aux.acc_seg: 71.1731, loss: 0.3637 2023-01-30 00:41:04,457 - mmseg - INFO - Iter [60600/160000] lr: 3.728e-05, eta: 11:31:38, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2395, decode.acc_seg: 73.3567, aux.loss_ce: 0.1045, aux.acc_seg: 72.8484, loss: 0.3440 2023-01-30 00:41:27,089 - mmseg - INFO - Iter [60650/160000] lr: 3.726e-05, eta: 11:31:19, time: 0.451, data_time: 0.056, memory: 12319, decode.loss_ce: 0.2213, decode.acc_seg: 73.5666, aux.loss_ce: 0.0978, aux.acc_seg: 73.0311, loss: 0.3191 2023-01-30 00:41:47,075 - mmseg - INFO - Iter [60700/160000] lr: 3.724e-05, eta: 11:30:57, time: 0.402, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2400, decode.acc_seg: 73.9568, aux.loss_ce: 0.1032, aux.acc_seg: 73.4092, loss: 0.3433 2023-01-30 00:42:07,340 - mmseg - INFO - Iter [60750/160000] lr: 3.722e-05, eta: 11:30:35, time: 0.403, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2314, decode.acc_seg: 73.1391, aux.loss_ce: 0.1022, aux.acc_seg: 72.6166, loss: 0.3336 2023-01-30 00:42:27,027 - mmseg - INFO - Iter [60800/160000] lr: 3.720e-05, eta: 11:30:13, time: 0.396, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2289, decode.acc_seg: 71.0523, aux.loss_ce: 0.1001, aux.acc_seg: 70.5882, loss: 0.3290 2023-01-30 00:42:46,707 - mmseg - INFO - Iter [60850/160000] lr: 3.718e-05, eta: 11:29:50, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2327, decode.acc_seg: 72.5212, aux.loss_ce: 0.1023, aux.acc_seg: 71.9176, loss: 0.3351 2023-01-30 00:43:06,332 - mmseg - INFO - Iter [60900/160000] lr: 3.716e-05, eta: 11:29:27, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2734, decode.acc_seg: 71.6812, aux.loss_ce: 0.1176, aux.acc_seg: 71.2081, loss: 0.3909 2023-01-30 00:43:26,139 - mmseg - INFO - Iter [60950/160000] lr: 3.714e-05, eta: 11:29:04, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2330, decode.acc_seg: 73.5695, aux.loss_ce: 0.1032, aux.acc_seg: 72.9514, loss: 0.3361 2023-01-30 00:43:45,606 - mmseg - INFO - Saving checkpoint at 61000 iterations 2023-01-30 00:43:56,528 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 00:43:56,529 - mmseg - INFO - Iter [61000/160000] lr: 3.713e-05, eta: 11:28:59, time: 0.606, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2363, decode.acc_seg: 73.0422, aux.loss_ce: 0.1042, aux.acc_seg: 72.4148, loss: 0.3404 2023-01-30 00:44:16,171 - mmseg - INFO - Iter [61050/160000] lr: 3.711e-05, eta: 11:28:36, time: 0.395, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2333, decode.acc_seg: 73.2770, aux.loss_ce: 0.1023, aux.acc_seg: 72.8205, loss: 0.3356 2023-01-30 00:44:36,029 - mmseg - INFO - Iter [61100/160000] lr: 3.709e-05, eta: 11:28:13, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2422, decode.acc_seg: 74.0501, aux.loss_ce: 0.1060, aux.acc_seg: 73.4476, loss: 0.3481 2023-01-30 00:44:55,602 - mmseg - INFO - Iter [61150/160000] lr: 3.707e-05, eta: 11:27:50, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2330, decode.acc_seg: 73.7628, aux.loss_ce: 0.1024, aux.acc_seg: 73.2267, loss: 0.3353 2023-01-30 00:45:15,314 - mmseg - INFO - Iter [61200/160000] lr: 3.705e-05, eta: 11:27:28, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2403, decode.acc_seg: 73.8077, aux.loss_ce: 0.1061, aux.acc_seg: 73.1795, loss: 0.3464 2023-01-30 00:45:34,934 - mmseg - INFO - Iter [61250/160000] lr: 3.703e-05, eta: 11:27:05, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2328, decode.acc_seg: 71.7225, aux.loss_ce: 0.1035, aux.acc_seg: 71.0089, loss: 0.3364 2023-01-30 00:45:54,644 - mmseg - INFO - Iter [61300/160000] lr: 3.701e-05, eta: 11:26:42, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2290, decode.acc_seg: 72.9902, aux.loss_ce: 0.1000, aux.acc_seg: 72.4331, loss: 0.3290 2023-01-30 00:46:14,199 - mmseg - INFO - Iter [61350/160000] lr: 3.699e-05, eta: 11:26:19, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2463, decode.acc_seg: 71.8886, aux.loss_ce: 0.1070, aux.acc_seg: 71.4140, loss: 0.3532 2023-01-30 00:46:33,894 - mmseg - INFO - Iter [61400/160000] lr: 3.698e-05, eta: 11:25:56, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2414, decode.acc_seg: 73.7178, aux.loss_ce: 0.1070, aux.acc_seg: 73.0606, loss: 0.3485 2023-01-30 00:46:53,307 - mmseg - INFO - Iter [61450/160000] lr: 3.696e-05, eta: 11:25:33, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2380, decode.acc_seg: 71.4857, aux.loss_ce: 0.1052, aux.acc_seg: 70.8875, loss: 0.3432 2023-01-30 00:47:12,823 - mmseg - INFO - Iter [61500/160000] lr: 3.694e-05, eta: 11:25:10, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2328, decode.acc_seg: 72.2701, aux.loss_ce: 0.1018, aux.acc_seg: 71.7104, loss: 0.3345 2023-01-30 00:47:32,804 - mmseg - INFO - Iter [61550/160000] lr: 3.692e-05, eta: 11:24:48, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2330, decode.acc_seg: 74.1338, aux.loss_ce: 0.1015, aux.acc_seg: 73.5757, loss: 0.3345 2023-01-30 00:47:52,420 - mmseg - INFO - Iter [61600/160000] lr: 3.690e-05, eta: 11:24:25, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2454, decode.acc_seg: 72.8153, aux.loss_ce: 0.1073, aux.acc_seg: 72.3216, loss: 0.3527 2023-01-30 00:48:11,978 - mmseg - INFO - Iter [61650/160000] lr: 3.688e-05, eta: 11:24:02, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2464, decode.acc_seg: 73.4786, aux.loss_ce: 0.1077, aux.acc_seg: 72.9063, loss: 0.3541 2023-01-30 00:48:31,535 - mmseg - INFO - Iter [61700/160000] lr: 3.686e-05, eta: 11:23:39, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2227, decode.acc_seg: 73.7448, aux.loss_ce: 0.0990, aux.acc_seg: 73.0910, loss: 0.3217 2023-01-30 00:48:51,415 - mmseg - INFO - Iter [61750/160000] lr: 3.684e-05, eta: 11:23:16, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2450, decode.acc_seg: 71.2696, aux.loss_ce: 0.1070, aux.acc_seg: 70.7304, loss: 0.3520 2023-01-30 00:49:11,109 - mmseg - INFO - Iter [61800/160000] lr: 3.683e-05, eta: 11:22:54, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2279, decode.acc_seg: 72.6456, aux.loss_ce: 0.0993, aux.acc_seg: 72.2381, loss: 0.3272 2023-01-30 00:49:30,957 - mmseg - INFO - Iter [61850/160000] lr: 3.681e-05, eta: 11:22:31, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2440, decode.acc_seg: 72.8795, aux.loss_ce: 0.1062, aux.acc_seg: 72.3783, loss: 0.3502 2023-01-30 00:49:53,661 - mmseg - INFO - Iter [61900/160000] lr: 3.679e-05, eta: 11:22:13, time: 0.454, data_time: 0.054, memory: 12319, decode.loss_ce: 0.2414, decode.acc_seg: 73.7446, aux.loss_ce: 0.1048, aux.acc_seg: 73.2375, loss: 0.3462 2023-01-30 00:50:13,603 - mmseg - INFO - Iter [61950/160000] lr: 3.677e-05, eta: 11:21:51, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2414, decode.acc_seg: 73.3867, aux.loss_ce: 0.1075, aux.acc_seg: 72.7668, loss: 0.3489 2023-01-30 00:50:33,379 - mmseg - INFO - Saving checkpoint at 62000 iterations 2023-01-30 00:50:43,368 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 00:50:43,369 - mmseg - INFO - Iter [62000/160000] lr: 3.675e-05, eta: 11:21:44, time: 0.594, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2285, decode.acc_seg: 73.9561, aux.loss_ce: 0.1013, aux.acc_seg: 73.3083, loss: 0.3298 2023-01-30 00:51:03,405 - mmseg - INFO - Iter [62050/160000] lr: 3.673e-05, eta: 11:21:22, time: 0.402, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2303, decode.acc_seg: 72.6394, aux.loss_ce: 0.1014, aux.acc_seg: 71.9607, loss: 0.3316 2023-01-30 00:51:23,250 - mmseg - INFO - Iter [62100/160000] lr: 3.671e-05, eta: 11:21:00, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2277, decode.acc_seg: 73.7169, aux.loss_ce: 0.0996, aux.acc_seg: 73.1872, loss: 0.3273 2023-01-30 00:51:42,881 - mmseg - INFO - Iter [62150/160000] lr: 3.669e-05, eta: 11:20:37, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2113, decode.acc_seg: 72.4470, aux.loss_ce: 0.0931, aux.acc_seg: 71.9090, loss: 0.3045 2023-01-30 00:52:02,456 - mmseg - INFO - Iter [62200/160000] lr: 3.668e-05, eta: 11:20:14, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2490, decode.acc_seg: 73.3804, aux.loss_ce: 0.1094, aux.acc_seg: 72.7762, loss: 0.3584 2023-01-30 00:52:22,069 - mmseg - INFO - Iter [62250/160000] lr: 3.666e-05, eta: 11:19:51, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2195, decode.acc_seg: 74.0546, aux.loss_ce: 0.0976, aux.acc_seg: 73.4185, loss: 0.3170 2023-01-30 00:52:41,664 - mmseg - INFO - Iter [62300/160000] lr: 3.664e-05, eta: 11:19:28, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2271, decode.acc_seg: 72.8725, aux.loss_ce: 0.0998, aux.acc_seg: 72.3131, loss: 0.3269 2023-01-30 00:53:01,398 - mmseg - INFO - Iter [62350/160000] lr: 3.662e-05, eta: 11:19:06, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2474, decode.acc_seg: 72.7867, aux.loss_ce: 0.1089, aux.acc_seg: 72.2389, loss: 0.3563 2023-01-30 00:53:21,256 - mmseg - INFO - Iter [62400/160000] lr: 3.660e-05, eta: 11:18:43, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2206, decode.acc_seg: 74.4447, aux.loss_ce: 0.0972, aux.acc_seg: 73.9223, loss: 0.3178 2023-01-30 00:53:41,097 - mmseg - INFO - Iter [62450/160000] lr: 3.658e-05, eta: 11:18:21, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2398, decode.acc_seg: 72.7584, aux.loss_ce: 0.1048, aux.acc_seg: 72.2326, loss: 0.3447 2023-01-30 00:54:00,726 - mmseg - INFO - Iter [62500/160000] lr: 3.656e-05, eta: 11:17:58, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2221, decode.acc_seg: 72.9005, aux.loss_ce: 0.0983, aux.acc_seg: 72.3287, loss: 0.3204 2023-01-30 00:54:20,378 - mmseg - INFO - Iter [62550/160000] lr: 3.654e-05, eta: 11:17:35, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2419, decode.acc_seg: 71.8005, aux.loss_ce: 0.1064, aux.acc_seg: 71.3054, loss: 0.3483 2023-01-30 00:54:40,161 - mmseg - INFO - Iter [62600/160000] lr: 3.653e-05, eta: 11:17:13, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2402, decode.acc_seg: 71.0480, aux.loss_ce: 0.1051, aux.acc_seg: 70.4472, loss: 0.3452 2023-01-30 00:55:00,109 - mmseg - INFO - Iter [62650/160000] lr: 3.651e-05, eta: 11:16:50, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2448, decode.acc_seg: 72.9165, aux.loss_ce: 0.1069, aux.acc_seg: 72.3476, loss: 0.3518 2023-01-30 00:55:19,845 - mmseg - INFO - Iter [62700/160000] lr: 3.649e-05, eta: 11:16:28, time: 0.395, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2263, decode.acc_seg: 74.9557, aux.loss_ce: 0.1006, aux.acc_seg: 74.3537, loss: 0.3270 2023-01-30 00:55:39,943 - mmseg - INFO - Iter [62750/160000] lr: 3.647e-05, eta: 11:16:06, time: 0.404, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2464, decode.acc_seg: 73.5558, aux.loss_ce: 0.1065, aux.acc_seg: 73.0696, loss: 0.3529 2023-01-30 00:55:59,920 - mmseg - INFO - Iter [62800/160000] lr: 3.645e-05, eta: 11:15:43, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2384, decode.acc_seg: 72.9280, aux.loss_ce: 0.1062, aux.acc_seg: 72.2822, loss: 0.3446 2023-01-30 00:56:19,527 - mmseg - INFO - Iter [62850/160000] lr: 3.643e-05, eta: 11:15:21, time: 0.393, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2481, decode.acc_seg: 72.0547, aux.loss_ce: 0.1093, aux.acc_seg: 71.5092, loss: 0.3574 2023-01-30 00:56:40,652 - mmseg - INFO - Iter [62900/160000] lr: 3.641e-05, eta: 11:14:59, time: 0.411, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2428, decode.acc_seg: 74.1884, aux.loss_ce: 0.1038, aux.acc_seg: 73.9007, loss: 0.3466 2023-01-30 00:57:00,295 - mmseg - INFO - Iter [62950/160000] lr: 3.639e-05, eta: 11:14:37, time: 0.404, data_time: 0.016, memory: 12319, decode.loss_ce: 0.2308, decode.acc_seg: 73.2146, aux.loss_ce: 0.1017, aux.acc_seg: 72.6516, loss: 0.3325 2023-01-30 00:57:20,132 - mmseg - INFO - Saving checkpoint at 63000 iterations 2023-01-30 00:57:30,758 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 00:57:30,758 - mmseg - INFO - Iter [63000/160000] lr: 3.638e-05, eta: 11:14:31, time: 0.610, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2462, decode.acc_seg: 73.9182, aux.loss_ce: 0.1073, aux.acc_seg: 73.2804, loss: 0.3535 2023-01-30 00:57:50,738 - mmseg - INFO - Iter [63050/160000] lr: 3.636e-05, eta: 11:14:09, time: 0.399, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2300, decode.acc_seg: 73.1401, aux.loss_ce: 0.1018, aux.acc_seg: 72.4647, loss: 0.3318 2023-01-30 00:58:10,366 - mmseg - INFO - Iter [63100/160000] lr: 3.634e-05, eta: 11:13:46, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2339, decode.acc_seg: 74.1101, aux.loss_ce: 0.1031, aux.acc_seg: 73.5470, loss: 0.3370 2023-01-30 00:58:30,403 - mmseg - INFO - Iter [63150/160000] lr: 3.632e-05, eta: 11:13:24, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2353, decode.acc_seg: 72.5048, aux.loss_ce: 0.1033, aux.acc_seg: 71.8572, loss: 0.3385 2023-01-30 00:58:53,422 - mmseg - INFO - Iter [63200/160000] lr: 3.630e-05, eta: 11:13:07, time: 0.460, data_time: 0.057, memory: 12319, decode.loss_ce: 0.2283, decode.acc_seg: 72.1537, aux.loss_ce: 0.1010, aux.acc_seg: 71.6252, loss: 0.3292 2023-01-30 00:59:13,107 - mmseg - INFO - Iter [63250/160000] lr: 3.628e-05, eta: 11:12:44, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2395, decode.acc_seg: 73.0877, aux.loss_ce: 0.1047, aux.acc_seg: 72.5355, loss: 0.3442 2023-01-30 00:59:32,547 - mmseg - INFO - Iter [63300/160000] lr: 3.626e-05, eta: 11:12:21, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2315, decode.acc_seg: 74.0351, aux.loss_ce: 0.1006, aux.acc_seg: 73.5324, loss: 0.3320 2023-01-30 00:59:52,225 - mmseg - INFO - Iter [63350/160000] lr: 3.624e-05, eta: 11:11:58, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2258, decode.acc_seg: 72.1896, aux.loss_ce: 0.0998, aux.acc_seg: 71.5890, loss: 0.3257 2023-01-30 01:00:11,674 - mmseg - INFO - Iter [63400/160000] lr: 3.623e-05, eta: 11:11:35, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2365, decode.acc_seg: 73.8850, aux.loss_ce: 0.1054, aux.acc_seg: 73.1859, loss: 0.3419 2023-01-30 01:00:31,007 - mmseg - INFO - Iter [63450/160000] lr: 3.621e-05, eta: 11:11:12, time: 0.387, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2393, decode.acc_seg: 73.3861, aux.loss_ce: 0.1050, aux.acc_seg: 72.9176, loss: 0.3443 2023-01-30 01:00:50,652 - mmseg - INFO - Iter [63500/160000] lr: 3.619e-05, eta: 11:10:50, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2235, decode.acc_seg: 72.4265, aux.loss_ce: 0.0977, aux.acc_seg: 71.9723, loss: 0.3212 2023-01-30 01:01:10,279 - mmseg - INFO - Iter [63550/160000] lr: 3.617e-05, eta: 11:10:27, time: 0.393, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2285, decode.acc_seg: 73.5623, aux.loss_ce: 0.1010, aux.acc_seg: 72.9676, loss: 0.3295 2023-01-30 01:01:29,781 - mmseg - INFO - Iter [63600/160000] lr: 3.615e-05, eta: 11:10:04, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2311, decode.acc_seg: 75.1921, aux.loss_ce: 0.1021, aux.acc_seg: 74.6011, loss: 0.3332 2023-01-30 01:01:49,467 - mmseg - INFO - Iter [63650/160000] lr: 3.613e-05, eta: 11:09:41, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2408, decode.acc_seg: 72.2606, aux.loss_ce: 0.1053, aux.acc_seg: 71.7275, loss: 0.3461 2023-01-30 01:02:09,240 - mmseg - INFO - Iter [63700/160000] lr: 3.611e-05, eta: 11:09:19, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2336, decode.acc_seg: 72.2018, aux.loss_ce: 0.1020, aux.acc_seg: 71.6355, loss: 0.3356 2023-01-30 01:02:29,191 - mmseg - INFO - Iter [63750/160000] lr: 3.609e-05, eta: 11:08:57, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2295, decode.acc_seg: 75.1139, aux.loss_ce: 0.1023, aux.acc_seg: 74.5152, loss: 0.3318 2023-01-30 01:02:48,937 - mmseg - INFO - Iter [63800/160000] lr: 3.608e-05, eta: 11:08:34, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2291, decode.acc_seg: 72.4941, aux.loss_ce: 0.1012, aux.acc_seg: 71.9023, loss: 0.3303 2023-01-30 01:03:08,692 - mmseg - INFO - Iter [63850/160000] lr: 3.606e-05, eta: 11:08:12, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2128, decode.acc_seg: 73.1451, aux.loss_ce: 0.0942, aux.acc_seg: 72.5580, loss: 0.3070 2023-01-30 01:03:28,480 - mmseg - INFO - Iter [63900/160000] lr: 3.604e-05, eta: 11:07:49, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2258, decode.acc_seg: 73.9584, aux.loss_ce: 0.0990, aux.acc_seg: 73.4287, loss: 0.3248 2023-01-30 01:03:48,377 - mmseg - INFO - Iter [63950/160000] lr: 3.602e-05, eta: 11:07:27, time: 0.398, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2365, decode.acc_seg: 75.1738, aux.loss_ce: 0.1045, aux.acc_seg: 74.4632, loss: 0.3410 2023-01-30 01:04:08,356 - mmseg - INFO - Saving checkpoint at 64000 iterations 2023-01-30 01:04:19,072 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 01:04:19,073 - mmseg - INFO - Iter [64000/160000] lr: 3.600e-05, eta: 11:07:21, time: 0.614, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2328, decode.acc_seg: 72.9148, aux.loss_ce: 0.1037, aux.acc_seg: 72.2494, loss: 0.3365 2023-01-30 01:04:48,400 - mmseg - INFO - per class results: 2023-01-30 01:04:48,407 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.02 | 89.85 | | building | 84.6 | 93.28 | | sky | 94.74 | 97.59 | | floor | 83.1 | 91.33 | | tree | 75.63 | 87.21 | | ceiling | 86.23 | 93.51 | | road | 83.4 | 90.52 | | bed | 91.45 | 96.81 | | windowpane | 64.24 | 79.7 | | grass | 68.05 | 82.68 | | cabinet | 58.71 | 69.07 | | sidewalk | 65.9 | 81.88 | | person | 84.04 | 93.8 | | earth | 38.84 | 50.32 | | door | 55.69 | 65.3 | | table | 66.58 | 80.53 | | mountain | 57.9 | 70.98 | | plant | 53.98 | 64.2 | | curtain | 77.04 | 86.67 | | chair | 60.39 | 71.88 | | car | 85.54 | 93.07 | | water | 63.92 | 81.3 | | painting | 75.11 | 89.08 | | sofa | 69.74 | 84.05 | | shelf | 41.97 | 52.34 | | house | 49.69 | 66.65 | | sea | 72.82 | 89.17 | | mirror | 72.36 | 79.59 | | rug | 64.68 | 77.08 | | field | 33.14 | 52.33 | | armchair | 46.68 | 71.52 | | seat | 66.93 | 89.36 | | fence | 53.82 | 68.41 | | desk | 54.43 | 72.94 | | rock | 49.26 | 75.34 | | wardrobe | 51.49 | 74.0 | | lamp | 67.31 | 79.24 | | bathtub | 82.43 | 86.01 | | railing | 37.13 | 48.08 | | cushion | 63.08 | 82.15 | | base | 34.55 | 51.2 | | box | 30.74 | 38.45 | | column | 48.56 | 66.99 | | signboard | 40.71 | 52.94 | | chest of drawers | 37.77 | 67.77 | | counter | 43.4 | 51.02 | | sand | 54.45 | 76.74 | | sink | 75.61 | 82.94 | | skyscraper | 61.11 | 75.33 | | fireplace | 75.01 | 90.77 | | refrigerator | 71.68 | 84.32 | | grandstand | 45.82 | 74.55 | | path | 28.42 | 39.61 | | stairs | 32.91 | 44.59 | | runway | 69.82 | 91.98 | | case | 57.02 | 81.98 | | pool table | 93.78 | 97.7 | | pillow | 59.47 | 67.11 | | screen door | 80.12 | 88.09 | | stairway | 41.14 | 48.67 | | river | 11.78 | 17.65 | | bridge | 79.07 | 87.51 | | bookcase | 35.79 | 51.87 | | blind | 46.47 | 54.41 | | coffee table | 62.4 | 84.89 | | toilet | 87.95 | 92.66 | | flower | 42.02 | 61.3 | | book | 48.89 | 71.82 | | hill | 10.04 | 14.14 | | bench | 46.56 | 51.96 | | countertop | 59.03 | 76.69 | | stove | 81.08 | 89.45 | | palm | 54.45 | 80.27 | | kitchen island | 39.73 | 68.31 | | computer | 68.7 | 78.38 | | swivel chair | 44.82 | 65.55 | | boat | 61.46 | 85.15 | | bar | 37.33 | 49.39 | | arcade machine | 71.25 | 75.94 | | hovel | 49.08 | 76.43 | | bus | 91.63 | 96.12 | | towel | 68.57 | 85.09 | | light | 57.24 | 66.41 | | truck | 39.48 | 50.65 | | tower | 24.31 | 40.74 | | chandelier | 69.07 | 86.96 | | awning | 38.7 | 51.02 | | streetlight | 32.53 | 43.4 | | booth | 70.74 | 76.17 | | television receiver | 72.36 | 84.69 | | airplane | 68.58 | 78.31 | | dirt track | 4.59 | 12.67 | | apparel | 52.04 | 69.7 | | pole | 25.13 | 33.35 | | land | 3.72 | 11.94 | | bannister | 14.75 | 20.41 | | escalator | 53.66 | 75.91 | | ottoman | 48.74 | 61.0 | | bottle | 42.06 | 67.46 | | buffet | 51.78 | 62.74 | | poster | 31.55 | 41.89 | | stage | 15.61 | 27.63 | | van | 42.36 | 58.92 | | ship | 17.81 | 21.02 | | fountain | 36.69 | 38.07 | | conveyer belt | 75.67 | 96.57 | | canopy | 47.53 | 71.71 | | washer | 83.83 | 88.89 | | plaything | 34.33 | 45.16 | | swimming pool | 62.86 | 80.65 | | stool | 44.3 | 52.04 | | barrel | 54.62 | 64.91 | | basket | 36.73 | 52.27 | | waterfall | 45.11 | 62.7 | | tent | 90.27 | 97.17 | | bag | 11.69 | 12.36 | | minibike | 71.83 | 89.48 | | cradle | 86.17 | 96.95 | | oven | 53.34 | 77.86 | | ball | 53.4 | 67.89 | | food | 39.89 | 43.98 | | step | 12.36 | 15.47 | | tank | 63.24 | 65.46 | | trade name | 30.19 | 34.5 | | microwave | 81.44 | 88.68 | | pot | 45.79 | 53.63 | | animal | 58.13 | 59.45 | | bicycle | 57.71 | 76.93 | | lake | 55.67 | 63.77 | | dishwasher | 72.28 | 81.24 | | screen | 56.71 | 93.07 | | blanket | 19.23 | 22.72 | | sculpture | 76.15 | 84.83 | | hood | 61.09 | 75.46 | | sconce | 52.61 | 62.86 | | vase | 44.32 | 63.75 | | traffic light | 38.57 | 60.88 | | tray | 11.76 | 15.88 | | ashcan | 48.19 | 64.03 | | fan | 64.27 | 77.26 | | pier | 30.01 | 44.1 | | crt screen | 9.75 | 12.53 | | plate | 55.42 | 73.34 | | monitor | 48.91 | 78.0 | | bulletin board | 50.28 | 68.84 | | shower | 0.0 | 0.0 | | radiator | 70.42 | 82.99 | | glass | 16.05 | 17.03 | | clock | 46.4 | 54.03 | | flag | 45.62 | 50.15 | +---------------------+-------+-------+ 2023-01-30 01:04:48,407 - mmseg - INFO - Summary: 2023-01-30 01:04:48,407 - mmseg - INFO - +-------+------+-------+ | aAcc | mIoU | mAcc | +-------+------+-------+ | 84.72 | 53.6 | 66.39 | +-------+------+-------+ 2023-01-30 01:04:48,628 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/segmentation/work_dirs/upernet_uniperceiver_adapter_large_512_160k_ade20k/best_mIoU_iter_48000.pth was removed 2023-01-30 01:04:58,642 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_64000.pth. 2023-01-30 01:04:58,642 - mmseg - INFO - Best mIoU is 0.5360 at 64000 iter. 2023-01-30 01:04:58,652 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 01:04:58,653 - mmseg - INFO - Iter(val) [250] aAcc: 0.8472, mIoU: 0.5360, mAcc: 0.6639, IoU.wall: 0.8002, IoU.building: 0.8460, IoU.sky: 0.9474, IoU.floor: 0.8310, IoU.tree: 0.7563, IoU.ceiling: 0.8623, IoU.road: 0.8340, IoU.bed : 0.9145, IoU.windowpane: 0.6424, IoU.grass: 0.6805, IoU.cabinet: 0.5871, IoU.sidewalk: 0.6590, IoU.person: 0.8404, IoU.earth: 0.3884, IoU.door: 0.5569, IoU.table: 0.6658, IoU.mountain: 0.5790, IoU.plant: 0.5398, IoU.curtain: 0.7704, IoU.chair: 0.6039, IoU.car: 0.8554, IoU.water: 0.6392, IoU.painting: 0.7511, IoU.sofa: 0.6974, IoU.shelf: 0.4197, IoU.house: 0.4969, IoU.sea: 0.7282, IoU.mirror: 0.7236, IoU.rug: 0.6468, IoU.field: 0.3314, IoU.armchair: 0.4668, IoU.seat: 0.6693, IoU.fence: 0.5382, IoU.desk: 0.5443, IoU.rock: 0.4926, IoU.wardrobe: 0.5149, IoU.lamp: 0.6731, IoU.bathtub: 0.8243, IoU.railing: 0.3713, IoU.cushion: 0.6308, IoU.base: 0.3455, IoU.box: 0.3074, IoU.column: 0.4856, IoU.signboard: 0.4071, IoU.chest of drawers: 0.3777, IoU.counter: 0.4340, IoU.sand: 0.5445, IoU.sink: 0.7561, IoU.skyscraper: 0.6111, IoU.fireplace: 0.7501, IoU.refrigerator: 0.7168, IoU.grandstand: 0.4582, IoU.path: 0.2842, IoU.stairs: 0.3291, IoU.runway: 0.6982, IoU.case: 0.5702, IoU.pool table: 0.9378, IoU.pillow: 0.5947, IoU.screen door: 0.8012, IoU.stairway: 0.4114, IoU.river: 0.1178, IoU.bridge: 0.7907, IoU.bookcase: 0.3579, IoU.blind: 0.4647, IoU.coffee table: 0.6240, IoU.toilet: 0.8795, IoU.flower: 0.4202, IoU.book: 0.4889, IoU.hill: 0.1004, IoU.bench: 0.4656, IoU.countertop: 0.5903, IoU.stove: 0.8108, IoU.palm: 0.5445, IoU.kitchen island: 0.3973, IoU.computer: 0.6870, IoU.swivel chair: 0.4482, IoU.boat: 0.6146, IoU.bar: 0.3733, IoU.arcade machine: 0.7125, IoU.hovel: 0.4908, IoU.bus: 0.9163, IoU.towel: 0.6857, IoU.light: 0.5724, IoU.truck: 0.3948, IoU.tower: 0.2431, IoU.chandelier: 0.6907, IoU.awning: 0.3870, IoU.streetlight: 0.3253, IoU.booth: 0.7074, IoU.television receiver: 0.7236, IoU.airplane: 0.6858, IoU.dirt track: 0.0459, IoU.apparel: 0.5204, IoU.pole: 0.2513, IoU.land: 0.0372, IoU.bannister: 0.1475, IoU.escalator: 0.5366, IoU.ottoman: 0.4874, IoU.bottle: 0.4206, IoU.buffet: 0.5178, IoU.poster: 0.3155, IoU.stage: 0.1561, IoU.van: 0.4236, IoU.ship: 0.1781, IoU.fountain: 0.3669, IoU.conveyer belt: 0.7567, IoU.canopy: 0.4753, IoU.washer: 0.8383, IoU.plaything: 0.3433, IoU.swimming pool: 0.6286, IoU.stool: 0.4430, IoU.barrel: 0.5462, IoU.basket: 0.3673, IoU.waterfall: 0.4511, IoU.tent: 0.9027, IoU.bag: 0.1169, IoU.minibike: 0.7183, IoU.cradle: 0.8617, IoU.oven: 0.5334, IoU.ball: 0.5340, IoU.food: 0.3989, IoU.step: 0.1236, IoU.tank: 0.6324, IoU.trade name: 0.3019, IoU.microwave: 0.8144, IoU.pot: 0.4579, IoU.animal: 0.5813, IoU.bicycle: 0.5771, IoU.lake: 0.5567, IoU.dishwasher: 0.7228, IoU.screen: 0.5671, IoU.blanket: 0.1923, IoU.sculpture: 0.7615, IoU.hood: 0.6109, IoU.sconce: 0.5261, IoU.vase: 0.4432, IoU.traffic light: 0.3857, IoU.tray: 0.1176, IoU.ashcan: 0.4819, IoU.fan: 0.6427, IoU.pier: 0.3001, IoU.crt screen: 0.0975, IoU.plate: 0.5542, IoU.monitor: 0.4891, IoU.bulletin board: 0.5028, IoU.shower: 0.0000, IoU.radiator: 0.7042, IoU.glass: 0.1605, IoU.clock: 0.4640, IoU.flag: 0.4562, Acc.wall: 0.8985, Acc.building: 0.9328, Acc.sky: 0.9759, Acc.floor: 0.9133, Acc.tree: 0.8721, Acc.ceiling: 0.9351, Acc.road: 0.9052, Acc.bed : 0.9681, Acc.windowpane: 0.7970, Acc.grass: 0.8268, Acc.cabinet: 0.6907, Acc.sidewalk: 0.8188, Acc.person: 0.9380, Acc.earth: 0.5032, Acc.door: 0.6530, Acc.table: 0.8053, Acc.mountain: 0.7098, Acc.plant: 0.6420, Acc.curtain: 0.8667, Acc.chair: 0.7188, Acc.car: 0.9307, Acc.water: 0.8130, Acc.painting: 0.8908, Acc.sofa: 0.8405, Acc.shelf: 0.5234, Acc.house: 0.6665, Acc.sea: 0.8917, Acc.mirror: 0.7959, Acc.rug: 0.7708, Acc.field: 0.5233, Acc.armchair: 0.7152, Acc.seat: 0.8936, Acc.fence: 0.6841, Acc.desk: 0.7294, Acc.rock: 0.7534, Acc.wardrobe: 0.7400, Acc.lamp: 0.7924, Acc.bathtub: 0.8601, Acc.railing: 0.4808, Acc.cushion: 0.8215, Acc.base: 0.5120, Acc.box: 0.3845, Acc.column: 0.6699, Acc.signboard: 0.5294, Acc.chest of drawers: 0.6777, Acc.counter: 0.5102, Acc.sand: 0.7674, Acc.sink: 0.8294, Acc.skyscraper: 0.7533, Acc.fireplace: 0.9077, Acc.refrigerator: 0.8432, Acc.grandstand: 0.7455, Acc.path: 0.3961, Acc.stairs: 0.4459, Acc.runway: 0.9198, Acc.case: 0.8198, Acc.pool table: 0.9770, Acc.pillow: 0.6711, Acc.screen door: 0.8809, Acc.stairway: 0.4867, Acc.river: 0.1765, Acc.bridge: 0.8751, Acc.bookcase: 0.5187, Acc.blind: 0.5441, Acc.coffee table: 0.8489, Acc.toilet: 0.9266, Acc.flower: 0.6130, Acc.book: 0.7182, Acc.hill: 0.1414, Acc.bench: 0.5196, Acc.countertop: 0.7669, Acc.stove: 0.8945, Acc.palm: 0.8027, Acc.kitchen island: 0.6831, Acc.computer: 0.7838, Acc.swivel chair: 0.6555, Acc.boat: 0.8515, Acc.bar: 0.4939, Acc.arcade machine: 0.7594, Acc.hovel: 0.7643, Acc.bus: 0.9612, Acc.towel: 0.8509, Acc.light: 0.6641, Acc.truck: 0.5065, Acc.tower: 0.4074, Acc.chandelier: 0.8696, Acc.awning: 0.5102, Acc.streetlight: 0.4340, Acc.booth: 0.7617, Acc.television receiver: 0.8469, Acc.airplane: 0.7831, Acc.dirt track: 0.1267, Acc.apparel: 0.6970, Acc.pole: 0.3335, Acc.land: 0.1194, Acc.bannister: 0.2041, Acc.escalator: 0.7591, Acc.ottoman: 0.6100, Acc.bottle: 0.6746, Acc.buffet: 0.6274, Acc.poster: 0.4189, Acc.stage: 0.2763, Acc.van: 0.5892, Acc.ship: 0.2102, Acc.fountain: 0.3807, Acc.conveyer belt: 0.9657, Acc.canopy: 0.7171, Acc.washer: 0.8889, Acc.plaything: 0.4516, Acc.swimming pool: 0.8065, Acc.stool: 0.5204, Acc.barrel: 0.6491, Acc.basket: 0.5227, Acc.waterfall: 0.6270, Acc.tent: 0.9717, Acc.bag: 0.1236, Acc.minibike: 0.8948, Acc.cradle: 0.9695, Acc.oven: 0.7786, Acc.ball: 0.6789, Acc.food: 0.4398, Acc.step: 0.1547, Acc.tank: 0.6546, Acc.trade name: 0.3450, Acc.microwave: 0.8868, Acc.pot: 0.5363, Acc.animal: 0.5945, Acc.bicycle: 0.7693, Acc.lake: 0.6377, Acc.dishwasher: 0.8124, Acc.screen: 0.9307, Acc.blanket: 0.2272, Acc.sculpture: 0.8483, Acc.hood: 0.7546, Acc.sconce: 0.6286, Acc.vase: 0.6375, Acc.traffic light: 0.6088, Acc.tray: 0.1588, Acc.ashcan: 0.6403, Acc.fan: 0.7726, Acc.pier: 0.4410, Acc.crt screen: 0.1253, Acc.plate: 0.7334, Acc.monitor: 0.7800, Acc.bulletin board: 0.6884, Acc.shower: 0.0000, Acc.radiator: 0.8299, Acc.glass: 0.1703, Acc.clock: 0.5403, Acc.flag: 0.5015 2023-01-30 01:05:18,841 - mmseg - INFO - Iter [64050/160000] lr: 3.598e-05, eta: 11:07:58, time: 1.195, data_time: 0.798, memory: 12319, decode.loss_ce: 0.2249, decode.acc_seg: 73.3440, aux.loss_ce: 0.0982, aux.acc_seg: 72.7813, loss: 0.3230 2023-01-30 01:05:38,501 - mmseg - INFO - Iter [64100/160000] lr: 3.596e-05, eta: 11:07:36, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2352, decode.acc_seg: 72.9821, aux.loss_ce: 0.1049, aux.acc_seg: 72.4329, loss: 0.3401 2023-01-30 01:05:58,301 - mmseg - INFO - Iter [64150/160000] lr: 3.594e-05, eta: 11:07:13, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2293, decode.acc_seg: 71.8222, aux.loss_ce: 0.1009, aux.acc_seg: 71.2989, loss: 0.3302 2023-01-30 01:06:17,891 - mmseg - INFO - Iter [64200/160000] lr: 3.593e-05, eta: 11:06:50, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2309, decode.acc_seg: 73.0778, aux.loss_ce: 0.1021, aux.acc_seg: 72.5726, loss: 0.3330 2023-01-30 01:06:37,443 - mmseg - INFO - Iter [64250/160000] lr: 3.591e-05, eta: 11:06:27, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2267, decode.acc_seg: 72.4747, aux.loss_ce: 0.1003, aux.acc_seg: 71.9034, loss: 0.3270 2023-01-30 01:06:56,979 - mmseg - INFO - Iter [64300/160000] lr: 3.589e-05, eta: 11:06:04, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2364, decode.acc_seg: 72.9652, aux.loss_ce: 0.1059, aux.acc_seg: 72.2794, loss: 0.3423 2023-01-30 01:07:16,737 - mmseg - INFO - Iter [64350/160000] lr: 3.587e-05, eta: 11:05:42, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2424, decode.acc_seg: 73.4964, aux.loss_ce: 0.1048, aux.acc_seg: 73.1436, loss: 0.3472 2023-01-30 01:07:36,405 - mmseg - INFO - Iter [64400/160000] lr: 3.585e-05, eta: 11:05:19, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2297, decode.acc_seg: 72.9130, aux.loss_ce: 0.1014, aux.acc_seg: 72.3606, loss: 0.3311 2023-01-30 01:07:59,232 - mmseg - INFO - Iter [64450/160000] lr: 3.583e-05, eta: 11:05:01, time: 0.454, data_time: 0.053, memory: 12319, decode.loss_ce: 0.2239, decode.acc_seg: 74.0260, aux.loss_ce: 0.0998, aux.acc_seg: 73.3814, loss: 0.3237 2023-01-30 01:08:18,944 - mmseg - INFO - Iter [64500/160000] lr: 3.581e-05, eta: 11:04:39, time: 0.395, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2375, decode.acc_seg: 72.7230, aux.loss_ce: 0.1055, aux.acc_seg: 72.0658, loss: 0.3430 2023-01-30 01:08:38,610 - mmseg - INFO - Iter [64550/160000] lr: 3.579e-05, eta: 11:04:16, time: 0.393, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2225, decode.acc_seg: 73.0776, aux.loss_ce: 0.0979, aux.acc_seg: 72.4999, loss: 0.3204 2023-01-30 01:08:58,307 - mmseg - INFO - Iter [64600/160000] lr: 3.578e-05, eta: 11:03:53, time: 0.394, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2213, decode.acc_seg: 72.7087, aux.loss_ce: 0.0981, aux.acc_seg: 72.0991, loss: 0.3194 2023-01-30 01:09:17,994 - mmseg - INFO - Iter [64650/160000] lr: 3.576e-05, eta: 11:03:31, time: 0.394, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2271, decode.acc_seg: 72.5957, aux.loss_ce: 0.1004, aux.acc_seg: 72.0030, loss: 0.3275 2023-01-30 01:09:37,710 - mmseg - INFO - Iter [64700/160000] lr: 3.574e-05, eta: 11:03:08, time: 0.394, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2352, decode.acc_seg: 72.9116, aux.loss_ce: 0.1034, aux.acc_seg: 72.3431, loss: 0.3387 2023-01-30 01:09:57,302 - mmseg - INFO - Iter [64750/160000] lr: 3.572e-05, eta: 11:02:45, time: 0.394, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2314, decode.acc_seg: 74.4048, aux.loss_ce: 0.1018, aux.acc_seg: 73.7913, loss: 0.3332 2023-01-30 01:10:16,989 - mmseg - INFO - Iter [64800/160000] lr: 3.570e-05, eta: 11:02:23, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2198, decode.acc_seg: 72.6685, aux.loss_ce: 0.0980, aux.acc_seg: 71.9798, loss: 0.3178 2023-01-30 01:10:36,785 - mmseg - INFO - Iter [64850/160000] lr: 3.568e-05, eta: 11:02:00, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2282, decode.acc_seg: 72.1764, aux.loss_ce: 0.1004, aux.acc_seg: 71.5543, loss: 0.3286 2023-01-30 01:10:56,499 - mmseg - INFO - Iter [64900/160000] lr: 3.566e-05, eta: 11:01:38, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2176, decode.acc_seg: 74.1882, aux.loss_ce: 0.0964, aux.acc_seg: 73.6138, loss: 0.3140 2023-01-30 01:11:16,294 - mmseg - INFO - Iter [64950/160000] lr: 3.564e-05, eta: 11:01:15, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2421, decode.acc_seg: 72.6082, aux.loss_ce: 0.1060, aux.acc_seg: 72.0309, loss: 0.3481 2023-01-30 01:11:36,009 - mmseg - INFO - Saving checkpoint at 65000 iterations 2023-01-30 01:11:47,018 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 01:11:47,019 - mmseg - INFO - Iter [65000/160000] lr: 3.563e-05, eta: 11:01:09, time: 0.614, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2182, decode.acc_seg: 72.8860, aux.loss_ce: 0.0966, aux.acc_seg: 72.2942, loss: 0.3149 2023-01-30 01:12:07,067 - mmseg - INFO - Iter [65050/160000] lr: 3.561e-05, eta: 11:00:47, time: 0.402, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2228, decode.acc_seg: 73.1890, aux.loss_ce: 0.0979, aux.acc_seg: 72.6429, loss: 0.3207 2023-01-30 01:12:26,768 - mmseg - INFO - Iter [65100/160000] lr: 3.559e-05, eta: 11:00:24, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2246, decode.acc_seg: 73.5127, aux.loss_ce: 0.0997, aux.acc_seg: 72.9320, loss: 0.3244 2023-01-30 01:12:46,459 - mmseg - INFO - Iter [65150/160000] lr: 3.557e-05, eta: 11:00:02, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2156, decode.acc_seg: 74.1461, aux.loss_ce: 0.0971, aux.acc_seg: 73.4986, loss: 0.3127 2023-01-30 01:13:06,106 - mmseg - INFO - Iter [65200/160000] lr: 3.555e-05, eta: 10:59:39, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2372, decode.acc_seg: 73.6534, aux.loss_ce: 0.1049, aux.acc_seg: 73.1130, loss: 0.3420 2023-01-30 01:13:25,873 - mmseg - INFO - Iter [65250/160000] lr: 3.553e-05, eta: 10:59:16, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2195, decode.acc_seg: 72.8621, aux.loss_ce: 0.0974, aux.acc_seg: 72.2681, loss: 0.3169 2023-01-30 01:13:45,512 - mmseg - INFO - Iter [65300/160000] lr: 3.551e-05, eta: 10:58:54, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2399, decode.acc_seg: 72.1468, aux.loss_ce: 0.1036, aux.acc_seg: 71.7741, loss: 0.3436 2023-01-30 01:14:04,911 - mmseg - INFO - Iter [65350/160000] lr: 3.549e-05, eta: 10:58:31, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2408, decode.acc_seg: 73.1617, aux.loss_ce: 0.1055, aux.acc_seg: 72.6712, loss: 0.3463 2023-01-30 01:14:24,526 - mmseg - INFO - Iter [65400/160000] lr: 3.548e-05, eta: 10:58:08, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2283, decode.acc_seg: 73.5530, aux.loss_ce: 0.1011, aux.acc_seg: 72.9345, loss: 0.3294 2023-01-30 01:14:43,904 - mmseg - INFO - Iter [65450/160000] lr: 3.546e-05, eta: 10:57:45, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2246, decode.acc_seg: 72.6971, aux.loss_ce: 0.1000, aux.acc_seg: 71.9969, loss: 0.3246 2023-01-30 01:15:03,498 - mmseg - INFO - Iter [65500/160000] lr: 3.544e-05, eta: 10:57:22, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2191, decode.acc_seg: 74.2037, aux.loss_ce: 0.0979, aux.acc_seg: 73.5212, loss: 0.3169 2023-01-30 01:15:23,049 - mmseg - INFO - Iter [65550/160000] lr: 3.542e-05, eta: 10:57:00, time: 0.391, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2195, decode.acc_seg: 74.9029, aux.loss_ce: 0.0967, aux.acc_seg: 74.3530, loss: 0.3162 2023-01-30 01:15:42,845 - mmseg - INFO - Iter [65600/160000] lr: 3.540e-05, eta: 10:56:37, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2205, decode.acc_seg: 71.9659, aux.loss_ce: 0.0966, aux.acc_seg: 71.4960, loss: 0.3171 2023-01-30 01:16:02,348 - mmseg - INFO - Iter [65650/160000] lr: 3.538e-05, eta: 10:56:14, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2375, decode.acc_seg: 73.3813, aux.loss_ce: 0.1049, aux.acc_seg: 72.8314, loss: 0.3425 2023-01-30 01:16:25,059 - mmseg - INFO - Iter [65700/160000] lr: 3.536e-05, eta: 10:55:56, time: 0.451, data_time: 0.052, memory: 12319, decode.loss_ce: 0.2294, decode.acc_seg: 74.3177, aux.loss_ce: 0.1000, aux.acc_seg: 73.8026, loss: 0.3294 2023-01-30 01:16:44,529 - mmseg - INFO - Iter [65750/160000] lr: 3.534e-05, eta: 10:55:33, time: 0.392, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2303, decode.acc_seg: 73.7617, aux.loss_ce: 0.1014, aux.acc_seg: 73.1009, loss: 0.3317 2023-01-30 01:17:04,093 - mmseg - INFO - Iter [65800/160000] lr: 3.533e-05, eta: 10:55:10, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2005, decode.acc_seg: 73.7606, aux.loss_ce: 0.0896, aux.acc_seg: 73.1715, loss: 0.2902 2023-01-30 01:17:23,781 - mmseg - INFO - Iter [65850/160000] lr: 3.531e-05, eta: 10:54:48, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2255, decode.acc_seg: 73.5337, aux.loss_ce: 0.0991, aux.acc_seg: 72.9246, loss: 0.3247 2023-01-30 01:17:43,626 - mmseg - INFO - Iter [65900/160000] lr: 3.529e-05, eta: 10:54:25, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2245, decode.acc_seg: 72.9565, aux.loss_ce: 0.0990, aux.acc_seg: 72.3493, loss: 0.3235 2023-01-30 01:18:03,185 - mmseg - INFO - Iter [65950/160000] lr: 3.527e-05, eta: 10:54:03, time: 0.393, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2254, decode.acc_seg: 74.3905, aux.loss_ce: 0.0983, aux.acc_seg: 73.8464, loss: 0.3237 2023-01-30 01:18:22,918 - mmseg - INFO - Saving checkpoint at 66000 iterations 2023-01-30 01:18:34,312 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 01:18:34,320 - mmseg - INFO - Iter [66000/160000] lr: 3.525e-05, eta: 10:53:57, time: 0.621, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2264, decode.acc_seg: 72.0191, aux.loss_ce: 0.1010, aux.acc_seg: 71.3661, loss: 0.3274 2023-01-30 01:18:54,803 - mmseg - INFO - Iter [66050/160000] lr: 3.523e-05, eta: 10:53:35, time: 0.411, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2262, decode.acc_seg: 74.3166, aux.loss_ce: 0.1007, aux.acc_seg: 73.6249, loss: 0.3268 2023-01-30 01:19:14,755 - mmseg - INFO - Iter [66100/160000] lr: 3.521e-05, eta: 10:53:13, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2250, decode.acc_seg: 73.9101, aux.loss_ce: 0.0997, aux.acc_seg: 73.2457, loss: 0.3247 2023-01-30 01:19:34,353 - mmseg - INFO - Iter [66150/160000] lr: 3.519e-05, eta: 10:52:50, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2276, decode.acc_seg: 73.2422, aux.loss_ce: 0.1011, aux.acc_seg: 72.6114, loss: 0.3287 2023-01-30 01:19:54,064 - mmseg - INFO - Iter [66200/160000] lr: 3.518e-05, eta: 10:52:28, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2293, decode.acc_seg: 73.7713, aux.loss_ce: 0.1010, aux.acc_seg: 73.1967, loss: 0.3302 2023-01-30 01:20:14,205 - mmseg - INFO - Iter [66250/160000] lr: 3.516e-05, eta: 10:52:06, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2144, decode.acc_seg: 74.1957, aux.loss_ce: 0.0947, aux.acc_seg: 73.6571, loss: 0.3091 2023-01-30 01:20:34,045 - mmseg - INFO - Iter [66300/160000] lr: 3.514e-05, eta: 10:51:44, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2147, decode.acc_seg: 72.0728, aux.loss_ce: 0.0950, aux.acc_seg: 71.5773, loss: 0.3097 2023-01-30 01:20:53,448 - mmseg - INFO - Iter [66350/160000] lr: 3.512e-05, eta: 10:51:21, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2330, decode.acc_seg: 73.4682, aux.loss_ce: 0.1040, aux.acc_seg: 72.8745, loss: 0.3370 2023-01-30 01:21:13,050 - mmseg - INFO - Iter [66400/160000] lr: 3.510e-05, eta: 10:50:58, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2241, decode.acc_seg: 73.8090, aux.loss_ce: 0.0993, aux.acc_seg: 73.0962, loss: 0.3235 2023-01-30 01:21:32,743 - mmseg - INFO - Iter [66450/160000] lr: 3.508e-05, eta: 10:50:36, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2277, decode.acc_seg: 73.9735, aux.loss_ce: 0.1013, aux.acc_seg: 73.4184, loss: 0.3290 2023-01-30 01:21:52,456 - mmseg - INFO - Iter [66500/160000] lr: 3.506e-05, eta: 10:50:13, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2348, decode.acc_seg: 74.7281, aux.loss_ce: 0.1034, aux.acc_seg: 74.1308, loss: 0.3382 2023-01-30 01:22:12,638 - mmseg - INFO - Iter [66550/160000] lr: 3.504e-05, eta: 10:49:51, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2214, decode.acc_seg: 73.4556, aux.loss_ce: 0.0981, aux.acc_seg: 72.9035, loss: 0.3195 2023-01-30 01:22:32,368 - mmseg - INFO - Iter [66600/160000] lr: 3.503e-05, eta: 10:49:29, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2365, decode.acc_seg: 73.8083, aux.loss_ce: 0.1042, aux.acc_seg: 73.1371, loss: 0.3407 2023-01-30 01:22:52,099 - mmseg - INFO - Iter [66650/160000] lr: 3.501e-05, eta: 10:49:06, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2265, decode.acc_seg: 73.3126, aux.loss_ce: 0.0995, aux.acc_seg: 72.6685, loss: 0.3260 2023-01-30 01:23:11,811 - mmseg - INFO - Iter [66700/160000] lr: 3.499e-05, eta: 10:48:44, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2199, decode.acc_seg: 73.2044, aux.loss_ce: 0.0965, aux.acc_seg: 72.6848, loss: 0.3164 2023-01-30 01:23:31,509 - mmseg - INFO - Iter [66750/160000] lr: 3.497e-05, eta: 10:48:21, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2334, decode.acc_seg: 73.3074, aux.loss_ce: 0.1016, aux.acc_seg: 72.7975, loss: 0.3351 2023-01-30 01:23:51,289 - mmseg - INFO - Iter [66800/160000] lr: 3.495e-05, eta: 10:47:59, time: 0.395, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2343, decode.acc_seg: 71.6059, aux.loss_ce: 0.1031, aux.acc_seg: 71.0041, loss: 0.3374 2023-01-30 01:24:10,924 - mmseg - INFO - Iter [66850/160000] lr: 3.493e-05, eta: 10:47:36, time: 0.395, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2460, decode.acc_seg: 73.5704, aux.loss_ce: 0.1083, aux.acc_seg: 72.9374, loss: 0.3543 2023-01-30 01:24:30,954 - mmseg - INFO - Iter [66900/160000] lr: 3.491e-05, eta: 10:47:14, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2343, decode.acc_seg: 75.1132, aux.loss_ce: 0.1034, aux.acc_seg: 74.6233, loss: 0.3377 2023-01-30 01:24:53,186 - mmseg - INFO - Iter [66950/160000] lr: 3.489e-05, eta: 10:46:55, time: 0.445, data_time: 0.051, memory: 12319, decode.loss_ce: 0.2177, decode.acc_seg: 73.1362, aux.loss_ce: 0.0974, aux.acc_seg: 72.4906, loss: 0.3151 2023-01-30 01:25:12,886 - mmseg - INFO - Saving checkpoint at 67000 iterations 2023-01-30 01:25:22,647 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 01:25:22,648 - mmseg - INFO - Iter [67000/160000] lr: 3.488e-05, eta: 10:46:47, time: 0.589, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2232, decode.acc_seg: 74.3852, aux.loss_ce: 0.0991, aux.acc_seg: 73.7591, loss: 0.3223 2023-01-30 01:25:42,560 - mmseg - INFO - Iter [67050/160000] lr: 3.486e-05, eta: 10:46:24, time: 0.398, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2234, decode.acc_seg: 73.7794, aux.loss_ce: 0.0978, aux.acc_seg: 73.2833, loss: 0.3212 2023-01-30 01:26:02,344 - mmseg - INFO - Iter [67100/160000] lr: 3.484e-05, eta: 10:46:02, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2288, decode.acc_seg: 72.1478, aux.loss_ce: 0.1010, aux.acc_seg: 71.5682, loss: 0.3298 2023-01-30 01:26:22,115 - mmseg - INFO - Iter [67150/160000] lr: 3.482e-05, eta: 10:45:40, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2084, decode.acc_seg: 73.0999, aux.loss_ce: 0.0933, aux.acc_seg: 72.4759, loss: 0.3017 2023-01-30 01:26:42,086 - mmseg - INFO - Iter [67200/160000] lr: 3.480e-05, eta: 10:45:18, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2125, decode.acc_seg: 73.8442, aux.loss_ce: 0.0947, aux.acc_seg: 73.2873, loss: 0.3071 2023-01-30 01:27:02,379 - mmseg - INFO - Iter [67250/160000] lr: 3.478e-05, eta: 10:44:56, time: 0.406, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2261, decode.acc_seg: 73.0529, aux.loss_ce: 0.1009, aux.acc_seg: 72.4711, loss: 0.3269 2023-01-30 01:27:22,184 - mmseg - INFO - Iter [67300/160000] lr: 3.476e-05, eta: 10:44:34, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2261, decode.acc_seg: 74.4527, aux.loss_ce: 0.0999, aux.acc_seg: 73.8219, loss: 0.3260 2023-01-30 01:27:41,942 - mmseg - INFO - Iter [67350/160000] lr: 3.474e-05, eta: 10:44:11, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2228, decode.acc_seg: 73.5209, aux.loss_ce: 0.0983, aux.acc_seg: 72.8490, loss: 0.3211 2023-01-30 01:28:01,723 - mmseg - INFO - Iter [67400/160000] lr: 3.473e-05, eta: 10:43:49, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2264, decode.acc_seg: 73.8374, aux.loss_ce: 0.0987, aux.acc_seg: 73.3492, loss: 0.3251 2023-01-30 01:28:21,244 - mmseg - INFO - Iter [67450/160000] lr: 3.471e-05, eta: 10:43:26, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2210, decode.acc_seg: 72.9597, aux.loss_ce: 0.0984, aux.acc_seg: 72.4144, loss: 0.3194 2023-01-30 01:28:40,892 - mmseg - INFO - Iter [67500/160000] lr: 3.469e-05, eta: 10:43:04, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2176, decode.acc_seg: 74.1761, aux.loss_ce: 0.0952, aux.acc_seg: 73.6517, loss: 0.3128 2023-01-30 01:29:00,416 - mmseg - INFO - Iter [67550/160000] lr: 3.467e-05, eta: 10:42:41, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2253, decode.acc_seg: 73.8372, aux.loss_ce: 0.0989, aux.acc_seg: 73.3172, loss: 0.3243 2023-01-30 01:29:19,795 - mmseg - INFO - Iter [67600/160000] lr: 3.465e-05, eta: 10:42:18, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2104, decode.acc_seg: 74.2040, aux.loss_ce: 0.0923, aux.acc_seg: 73.6450, loss: 0.3028 2023-01-30 01:29:39,304 - mmseg - INFO - Iter [67650/160000] lr: 3.463e-05, eta: 10:41:55, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2365, decode.acc_seg: 74.1686, aux.loss_ce: 0.1043, aux.acc_seg: 73.5886, loss: 0.3407 2023-01-30 01:29:58,760 - mmseg - INFO - Iter [67700/160000] lr: 3.461e-05, eta: 10:41:33, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2371, decode.acc_seg: 72.2348, aux.loss_ce: 0.1046, aux.acc_seg: 71.6819, loss: 0.3417 2023-01-30 01:30:23,457 - mmseg - INFO - Iter [67750/160000] lr: 3.459e-05, eta: 10:41:17, time: 0.494, data_time: 0.090, memory: 12319, decode.loss_ce: 0.2210, decode.acc_seg: 72.6727, aux.loss_ce: 0.0977, aux.acc_seg: 72.1117, loss: 0.3187 2023-01-30 01:30:43,015 - mmseg - INFO - Iter [67800/160000] lr: 3.458e-05, eta: 10:40:54, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2203, decode.acc_seg: 73.9997, aux.loss_ce: 0.0972, aux.acc_seg: 73.5430, loss: 0.3175 2023-01-30 01:31:02,825 - mmseg - INFO - Iter [67850/160000] lr: 3.456e-05, eta: 10:40:32, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2317, decode.acc_seg: 73.0782, aux.loss_ce: 0.1024, aux.acc_seg: 72.4615, loss: 0.3341 2023-01-30 01:31:22,669 - mmseg - INFO - Iter [67900/160000] lr: 3.454e-05, eta: 10:40:10, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2117, decode.acc_seg: 71.8390, aux.loss_ce: 0.0930, aux.acc_seg: 71.3226, loss: 0.3046 2023-01-30 01:31:42,584 - mmseg - INFO - Iter [67950/160000] lr: 3.452e-05, eta: 10:39:48, time: 0.398, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2087, decode.acc_seg: 73.9843, aux.loss_ce: 0.0930, aux.acc_seg: 73.3986, loss: 0.3017 2023-01-30 01:32:02,495 - mmseg - INFO - Saving checkpoint at 68000 iterations 2023-01-30 01:32:13,044 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 01:32:13,044 - mmseg - INFO - Iter [68000/160000] lr: 3.450e-05, eta: 10:39:40, time: 0.609, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2236, decode.acc_seg: 73.9607, aux.loss_ce: 0.0983, aux.acc_seg: 73.4177, loss: 0.3219 2023-01-30 01:32:33,000 - mmseg - INFO - Iter [68050/160000] lr: 3.448e-05, eta: 10:39:18, time: 0.399, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2253, decode.acc_seg: 74.5979, aux.loss_ce: 0.0986, aux.acc_seg: 74.1366, loss: 0.3239 2023-01-30 01:32:52,918 - mmseg - INFO - Iter [68100/160000] lr: 3.446e-05, eta: 10:38:56, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2318, decode.acc_seg: 74.0718, aux.loss_ce: 0.1020, aux.acc_seg: 73.6203, loss: 0.3338 2023-01-30 01:33:12,856 - mmseg - INFO - Iter [68150/160000] lr: 3.444e-05, eta: 10:38:34, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2346, decode.acc_seg: 72.5471, aux.loss_ce: 0.1045, aux.acc_seg: 71.8481, loss: 0.3390 2023-01-30 01:33:32,631 - mmseg - INFO - Iter [68200/160000] lr: 3.443e-05, eta: 10:38:11, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2395, decode.acc_seg: 72.8300, aux.loss_ce: 0.1055, aux.acc_seg: 72.2152, loss: 0.3450 2023-01-30 01:33:55,532 - mmseg - INFO - Iter [68250/160000] lr: 3.441e-05, eta: 10:37:53, time: 0.458, data_time: 0.055, memory: 12319, decode.loss_ce: 0.2281, decode.acc_seg: 73.6186, aux.loss_ce: 0.1012, aux.acc_seg: 72.9958, loss: 0.3293 2023-01-30 01:34:15,417 - mmseg - INFO - Iter [68300/160000] lr: 3.439e-05, eta: 10:37:31, time: 0.398, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2344, decode.acc_seg: 72.7133, aux.loss_ce: 0.1030, aux.acc_seg: 72.1831, loss: 0.3374 2023-01-30 01:34:35,243 - mmseg - INFO - Iter [68350/160000] lr: 3.437e-05, eta: 10:37:09, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2319, decode.acc_seg: 72.1695, aux.loss_ce: 0.1025, aux.acc_seg: 71.5860, loss: 0.3344 2023-01-30 01:34:55,245 - mmseg - INFO - Iter [68400/160000] lr: 3.435e-05, eta: 10:36:47, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2373, decode.acc_seg: 73.9949, aux.loss_ce: 0.1055, aux.acc_seg: 73.3100, loss: 0.3427 2023-01-30 01:35:15,273 - mmseg - INFO - Iter [68450/160000] lr: 3.433e-05, eta: 10:36:25, time: 0.401, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2358, decode.acc_seg: 72.2184, aux.loss_ce: 0.1043, aux.acc_seg: 71.5985, loss: 0.3400 2023-01-30 01:35:34,891 - mmseg - INFO - Iter [68500/160000] lr: 3.431e-05, eta: 10:36:02, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2281, decode.acc_seg: 75.0779, aux.loss_ce: 0.1000, aux.acc_seg: 74.5226, loss: 0.3282 2023-01-30 01:35:54,544 - mmseg - INFO - Iter [68550/160000] lr: 3.429e-05, eta: 10:35:40, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2198, decode.acc_seg: 72.6325, aux.loss_ce: 0.0965, aux.acc_seg: 72.0576, loss: 0.3163 2023-01-30 01:36:14,151 - mmseg - INFO - Iter [68600/160000] lr: 3.428e-05, eta: 10:35:17, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2280, decode.acc_seg: 72.1843, aux.loss_ce: 0.1021, aux.acc_seg: 71.5763, loss: 0.3301 2023-01-30 01:36:33,599 - mmseg - INFO - Iter [68650/160000] lr: 3.426e-05, eta: 10:34:55, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2119, decode.acc_seg: 73.2798, aux.loss_ce: 0.0941, aux.acc_seg: 72.6728, loss: 0.3060 2023-01-30 01:36:53,803 - mmseg - INFO - Iter [68700/160000] lr: 3.424e-05, eta: 10:34:33, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2313, decode.acc_seg: 72.1831, aux.loss_ce: 0.1019, aux.acc_seg: 71.5547, loss: 0.3332 2023-01-30 01:37:13,864 - mmseg - INFO - Iter [68750/160000] lr: 3.422e-05, eta: 10:34:11, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2273, decode.acc_seg: 74.7209, aux.loss_ce: 0.0998, aux.acc_seg: 74.2219, loss: 0.3271 2023-01-30 01:37:33,892 - mmseg - INFO - Iter [68800/160000] lr: 3.420e-05, eta: 10:33:49, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2223, decode.acc_seg: 73.3690, aux.loss_ce: 0.0990, aux.acc_seg: 72.8640, loss: 0.3213 2023-01-30 01:37:53,673 - mmseg - INFO - Iter [68850/160000] lr: 3.418e-05, eta: 10:33:27, time: 0.396, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2194, decode.acc_seg: 74.2335, aux.loss_ce: 0.0967, aux.acc_seg: 73.6815, loss: 0.3161 2023-01-30 01:38:13,238 - mmseg - INFO - Iter [68900/160000] lr: 3.416e-05, eta: 10:33:04, time: 0.391, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2258, decode.acc_seg: 72.4962, aux.loss_ce: 0.1000, aux.acc_seg: 71.8902, loss: 0.3258 2023-01-30 01:38:32,960 - mmseg - INFO - Iter [68950/160000] lr: 3.414e-05, eta: 10:32:42, time: 0.396, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2285, decode.acc_seg: 73.7730, aux.loss_ce: 0.1015, aux.acc_seg: 73.1584, loss: 0.3300 2023-01-30 01:38:52,513 - mmseg - INFO - Saving checkpoint at 69000 iterations 2023-01-30 01:39:02,951 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 01:39:02,951 - mmseg - INFO - Iter [69000/160000] lr: 3.413e-05, eta: 10:32:33, time: 0.600, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2129, decode.acc_seg: 72.2715, aux.loss_ce: 0.0946, aux.acc_seg: 71.6763, loss: 0.3074 2023-01-30 01:39:23,260 - mmseg - INFO - Iter [69050/160000] lr: 3.411e-05, eta: 10:32:12, time: 0.406, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2231, decode.acc_seg: 72.5110, aux.loss_ce: 0.0980, aux.acc_seg: 71.9762, loss: 0.3211 2023-01-30 01:39:43,076 - mmseg - INFO - Iter [69100/160000] lr: 3.409e-05, eta: 10:31:49, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2122, decode.acc_seg: 75.0526, aux.loss_ce: 0.0942, aux.acc_seg: 74.5110, loss: 0.3064 2023-01-30 01:40:02,542 - mmseg - INFO - Iter [69150/160000] lr: 3.407e-05, eta: 10:31:27, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2248, decode.acc_seg: 72.0832, aux.loss_ce: 0.0978, aux.acc_seg: 71.5667, loss: 0.3226 2023-01-30 01:40:22,341 - mmseg - INFO - Iter [69200/160000] lr: 3.405e-05, eta: 10:31:04, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2165, decode.acc_seg: 73.6424, aux.loss_ce: 0.0954, aux.acc_seg: 73.1605, loss: 0.3119 2023-01-30 01:40:42,211 - mmseg - INFO - Iter [69250/160000] lr: 3.403e-05, eta: 10:30:42, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2201, decode.acc_seg: 75.1471, aux.loss_ce: 0.0977, aux.acc_seg: 74.4123, loss: 0.3178 2023-01-30 01:41:01,839 - mmseg - INFO - Iter [69300/160000] lr: 3.401e-05, eta: 10:30:20, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2222, decode.acc_seg: 73.6820, aux.loss_ce: 0.0966, aux.acc_seg: 73.0886, loss: 0.3188 2023-01-30 01:41:22,060 - mmseg - INFO - Iter [69350/160000] lr: 3.399e-05, eta: 10:29:58, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2218, decode.acc_seg: 72.8456, aux.loss_ce: 0.0976, aux.acc_seg: 72.3600, loss: 0.3194 2023-01-30 01:41:41,859 - mmseg - INFO - Iter [69400/160000] lr: 3.398e-05, eta: 10:29:36, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2379, decode.acc_seg: 73.8219, aux.loss_ce: 0.1050, aux.acc_seg: 73.2360, loss: 0.3429 2023-01-30 01:42:01,539 - mmseg - INFO - Iter [69450/160000] lr: 3.396e-05, eta: 10:29:14, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2071, decode.acc_seg: 73.6214, aux.loss_ce: 0.0917, aux.acc_seg: 73.0202, loss: 0.2987 2023-01-30 01:42:24,562 - mmseg - INFO - Iter [69500/160000] lr: 3.394e-05, eta: 10:28:56, time: 0.461, data_time: 0.056, memory: 12319, decode.loss_ce: 0.2308, decode.acc_seg: 73.0556, aux.loss_ce: 0.1012, aux.acc_seg: 72.4835, loss: 0.3320 2023-01-30 01:42:44,337 - mmseg - INFO - Iter [69550/160000] lr: 3.392e-05, eta: 10:28:33, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2135, decode.acc_seg: 74.5721, aux.loss_ce: 0.0938, aux.acc_seg: 74.0816, loss: 0.3073 2023-01-30 01:43:04,298 - mmseg - INFO - Iter [69600/160000] lr: 3.390e-05, eta: 10:28:11, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2132, decode.acc_seg: 73.9574, aux.loss_ce: 0.0949, aux.acc_seg: 73.4604, loss: 0.3081 2023-01-30 01:43:24,331 - mmseg - INFO - Iter [69650/160000] lr: 3.388e-05, eta: 10:27:49, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2009, decode.acc_seg: 74.0371, aux.loss_ce: 0.0896, aux.acc_seg: 73.4036, loss: 0.2905 2023-01-30 01:43:44,055 - mmseg - INFO - Iter [69700/160000] lr: 3.386e-05, eta: 10:27:27, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2190, decode.acc_seg: 73.2567, aux.loss_ce: 0.0982, aux.acc_seg: 72.5549, loss: 0.3171 2023-01-30 01:44:03,702 - mmseg - INFO - Iter [69750/160000] lr: 3.384e-05, eta: 10:27:05, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2214, decode.acc_seg: 73.4980, aux.loss_ce: 0.0978, aux.acc_seg: 72.8339, loss: 0.3192 2023-01-30 01:44:23,059 - mmseg - INFO - Iter [69800/160000] lr: 3.383e-05, eta: 10:26:42, time: 0.387, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2415, decode.acc_seg: 73.4218, aux.loss_ce: 0.1057, aux.acc_seg: 72.8659, loss: 0.3472 2023-01-30 01:44:42,459 - mmseg - INFO - Iter [69850/160000] lr: 3.381e-05, eta: 10:26:19, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2263, decode.acc_seg: 72.6821, aux.loss_ce: 0.0992, aux.acc_seg: 72.1576, loss: 0.3255 2023-01-30 01:45:02,299 - mmseg - INFO - Iter [69900/160000] lr: 3.379e-05, eta: 10:25:57, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2273, decode.acc_seg: 73.5691, aux.loss_ce: 0.1010, aux.acc_seg: 72.8772, loss: 0.3282 2023-01-30 01:45:21,914 - mmseg - INFO - Iter [69950/160000] lr: 3.377e-05, eta: 10:25:35, time: 0.393, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2409, decode.acc_seg: 71.8983, aux.loss_ce: 0.1049, aux.acc_seg: 71.4840, loss: 0.3458 2023-01-30 01:45:41,701 - mmseg - INFO - Saving checkpoint at 70000 iterations 2023-01-30 01:45:51,704 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 01:45:51,704 - mmseg - INFO - Iter [70000/160000] lr: 3.375e-05, eta: 10:25:25, time: 0.596, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2233, decode.acc_seg: 73.8799, aux.loss_ce: 0.0982, aux.acc_seg: 73.3017, loss: 0.3214 2023-01-30 01:46:11,585 - mmseg - INFO - Iter [70050/160000] lr: 3.373e-05, eta: 10:25:03, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2183, decode.acc_seg: 74.6621, aux.loss_ce: 0.0959, aux.acc_seg: 74.1402, loss: 0.3142 2023-01-30 01:46:31,294 - mmseg - INFO - Iter [70100/160000] lr: 3.371e-05, eta: 10:24:41, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2156, decode.acc_seg: 73.0400, aux.loss_ce: 0.0957, aux.acc_seg: 72.3982, loss: 0.3113 2023-01-30 01:46:50,944 - mmseg - INFO - Iter [70150/160000] lr: 3.369e-05, eta: 10:24:19, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2046, decode.acc_seg: 73.9191, aux.loss_ce: 0.0914, aux.acc_seg: 73.3466, loss: 0.2959 2023-01-30 01:47:10,824 - mmseg - INFO - Iter [70200/160000] lr: 3.368e-05, eta: 10:23:57, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2110, decode.acc_seg: 74.0231, aux.loss_ce: 0.0932, aux.acc_seg: 73.4483, loss: 0.3042 2023-01-30 01:47:30,503 - mmseg - INFO - Iter [70250/160000] lr: 3.366e-05, eta: 10:23:34, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2395, decode.acc_seg: 73.3112, aux.loss_ce: 0.1055, aux.acc_seg: 72.6394, loss: 0.3450 2023-01-30 01:47:50,257 - mmseg - INFO - Iter [70300/160000] lr: 3.364e-05, eta: 10:23:12, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2330, decode.acc_seg: 72.8944, aux.loss_ce: 0.1032, aux.acc_seg: 72.2837, loss: 0.3362 2023-01-30 01:48:09,906 - mmseg - INFO - Iter [70350/160000] lr: 3.362e-05, eta: 10:22:50, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2230, decode.acc_seg: 74.4481, aux.loss_ce: 0.0987, aux.acc_seg: 73.9506, loss: 0.3216 2023-01-30 01:48:29,779 - mmseg - INFO - Iter [70400/160000] lr: 3.360e-05, eta: 10:22:28, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2113, decode.acc_seg: 73.1859, aux.loss_ce: 0.0942, aux.acc_seg: 72.5729, loss: 0.3055 2023-01-30 01:48:49,792 - mmseg - INFO - Iter [70450/160000] lr: 3.358e-05, eta: 10:22:06, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2217, decode.acc_seg: 74.2367, aux.loss_ce: 0.0985, aux.acc_seg: 73.6193, loss: 0.3202 2023-01-30 01:49:09,416 - mmseg - INFO - Iter [70500/160000] lr: 3.356e-05, eta: 10:21:43, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2156, decode.acc_seg: 73.3137, aux.loss_ce: 0.0961, aux.acc_seg: 72.5708, loss: 0.3117 2023-01-30 01:49:29,130 - mmseg - INFO - Iter [70550/160000] lr: 3.354e-05, eta: 10:21:21, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2268, decode.acc_seg: 74.2054, aux.loss_ce: 0.0999, aux.acc_seg: 73.5659, loss: 0.3267 2023-01-30 01:49:48,890 - mmseg - INFO - Iter [70600/160000] lr: 3.353e-05, eta: 10:20:59, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2129, decode.acc_seg: 74.5341, aux.loss_ce: 0.0952, aux.acc_seg: 73.8764, loss: 0.3081 2023-01-30 01:50:08,407 - mmseg - INFO - Iter [70650/160000] lr: 3.351e-05, eta: 10:20:36, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2300, decode.acc_seg: 72.6098, aux.loss_ce: 0.0992, aux.acc_seg: 72.2031, loss: 0.3293 2023-01-30 01:50:27,862 - mmseg - INFO - Iter [70700/160000] lr: 3.349e-05, eta: 10:20:14, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2165, decode.acc_seg: 73.9428, aux.loss_ce: 0.0957, aux.acc_seg: 73.3479, loss: 0.3121 2023-01-30 01:50:50,413 - mmseg - INFO - Iter [70750/160000] lr: 3.347e-05, eta: 10:19:55, time: 0.451, data_time: 0.052, memory: 12319, decode.loss_ce: 0.2131, decode.acc_seg: 74.4443, aux.loss_ce: 0.0940, aux.acc_seg: 73.8837, loss: 0.3071 2023-01-30 01:51:10,252 - mmseg - INFO - Iter [70800/160000] lr: 3.345e-05, eta: 10:19:33, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2098, decode.acc_seg: 74.5622, aux.loss_ce: 0.0929, aux.acc_seg: 74.1272, loss: 0.3027 2023-01-30 01:51:30,020 - mmseg - INFO - Iter [70850/160000] lr: 3.343e-05, eta: 10:19:11, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2304, decode.acc_seg: 71.5537, aux.loss_ce: 0.1008, aux.acc_seg: 70.9689, loss: 0.3312 2023-01-30 01:51:49,992 - mmseg - INFO - Iter [70900/160000] lr: 3.341e-05, eta: 10:18:49, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2199, decode.acc_seg: 73.8688, aux.loss_ce: 0.0961, aux.acc_seg: 73.2860, loss: 0.3160 2023-01-30 01:52:09,704 - mmseg - INFO - Iter [70950/160000] lr: 3.339e-05, eta: 10:18:27, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2335, decode.acc_seg: 73.2939, aux.loss_ce: 0.1039, aux.acc_seg: 72.6424, loss: 0.3374 2023-01-30 01:52:29,737 - mmseg - INFO - Saving checkpoint at 71000 iterations 2023-01-30 01:52:39,921 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 01:52:39,921 - mmseg - INFO - Iter [71000/160000] lr: 3.338e-05, eta: 10:18:17, time: 0.604, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2118, decode.acc_seg: 73.6837, aux.loss_ce: 0.0945, aux.acc_seg: 73.1247, loss: 0.3062 2023-01-30 01:52:59,851 - mmseg - INFO - Iter [71050/160000] lr: 3.336e-05, eta: 10:17:56, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2061, decode.acc_seg: 73.6039, aux.loss_ce: 0.0921, aux.acc_seg: 73.1123, loss: 0.2983 2023-01-30 01:53:19,289 - mmseg - INFO - Iter [71100/160000] lr: 3.334e-05, eta: 10:17:33, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2109, decode.acc_seg: 73.7339, aux.loss_ce: 0.0932, aux.acc_seg: 73.1002, loss: 0.3041 2023-01-30 01:53:39,099 - mmseg - INFO - Iter [71150/160000] lr: 3.332e-05, eta: 10:17:11, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1990, decode.acc_seg: 73.2467, aux.loss_ce: 0.0883, aux.acc_seg: 72.6401, loss: 0.2872 2023-01-30 01:53:58,595 - mmseg - INFO - Iter [71200/160000] lr: 3.330e-05, eta: 10:16:48, time: 0.390, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2122, decode.acc_seg: 73.0532, aux.loss_ce: 0.0940, aux.acc_seg: 72.4792, loss: 0.3061 2023-01-30 01:54:18,317 - mmseg - INFO - Iter [71250/160000] lr: 3.328e-05, eta: 10:16:26, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2286, decode.acc_seg: 73.6851, aux.loss_ce: 0.1012, aux.acc_seg: 72.9441, loss: 0.3299 2023-01-30 01:54:38,142 - mmseg - INFO - Iter [71300/160000] lr: 3.326e-05, eta: 10:16:04, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2065, decode.acc_seg: 72.9075, aux.loss_ce: 0.0921, aux.acc_seg: 72.2774, loss: 0.2986 2023-01-30 01:54:57,826 - mmseg - INFO - Iter [71350/160000] lr: 3.324e-05, eta: 10:15:42, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2227, decode.acc_seg: 74.2208, aux.loss_ce: 0.0969, aux.acc_seg: 73.7008, loss: 0.3196 2023-01-30 01:55:17,394 - mmseg - INFO - Iter [71400/160000] lr: 3.323e-05, eta: 10:15:19, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2294, decode.acc_seg: 73.5481, aux.loss_ce: 0.1001, aux.acc_seg: 72.9859, loss: 0.3295 2023-01-30 01:55:37,044 - mmseg - INFO - Iter [71450/160000] lr: 3.321e-05, eta: 10:14:57, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2312, decode.acc_seg: 73.7122, aux.loss_ce: 0.1025, aux.acc_seg: 73.1402, loss: 0.3337 2023-01-30 01:55:56,813 - mmseg - INFO - Iter [71500/160000] lr: 3.319e-05, eta: 10:14:35, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2166, decode.acc_seg: 72.6164, aux.loss_ce: 0.0959, aux.acc_seg: 72.0315, loss: 0.3125 2023-01-30 01:56:16,612 - mmseg - INFO - Iter [71550/160000] lr: 3.317e-05, eta: 10:14:13, time: 0.398, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2149, decode.acc_seg: 74.5862, aux.loss_ce: 0.0957, aux.acc_seg: 73.9021, loss: 0.3105 2023-01-30 01:56:36,390 - mmseg - INFO - Iter [71600/160000] lr: 3.315e-05, eta: 10:13:51, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2103, decode.acc_seg: 73.3937, aux.loss_ce: 0.0935, aux.acc_seg: 72.8556, loss: 0.3039 2023-01-30 01:56:55,953 - mmseg - INFO - Iter [71650/160000] lr: 3.313e-05, eta: 10:13:28, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2105, decode.acc_seg: 73.9416, aux.loss_ce: 0.0941, aux.acc_seg: 73.3047, loss: 0.3046 2023-01-30 01:57:15,449 - mmseg - INFO - Iter [71700/160000] lr: 3.311e-05, eta: 10:13:06, time: 0.390, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2320, decode.acc_seg: 72.6943, aux.loss_ce: 0.1022, aux.acc_seg: 72.1154, loss: 0.3342 2023-01-30 01:57:35,269 - mmseg - INFO - Iter [71750/160000] lr: 3.309e-05, eta: 10:12:44, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2081, decode.acc_seg: 73.7299, aux.loss_ce: 0.0925, aux.acc_seg: 73.2262, loss: 0.3006 2023-01-30 01:57:55,159 - mmseg - INFO - Iter [71800/160000] lr: 3.308e-05, eta: 10:12:22, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2287, decode.acc_seg: 72.7306, aux.loss_ce: 0.1010, aux.acc_seg: 72.1310, loss: 0.3297 2023-01-30 01:58:14,684 - mmseg - INFO - Iter [71850/160000] lr: 3.306e-05, eta: 10:11:59, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2159, decode.acc_seg: 72.7288, aux.loss_ce: 0.0949, aux.acc_seg: 72.2214, loss: 0.3108 2023-01-30 01:58:34,313 - mmseg - INFO - Iter [71900/160000] lr: 3.304e-05, eta: 10:11:37, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2106, decode.acc_seg: 75.1729, aux.loss_ce: 0.0930, aux.acc_seg: 74.5675, loss: 0.3036 2023-01-30 01:58:54,030 - mmseg - INFO - Iter [71950/160000] lr: 3.302e-05, eta: 10:11:15, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2111, decode.acc_seg: 73.2417, aux.loss_ce: 0.0941, aux.acc_seg: 72.6989, loss: 0.3052 2023-01-30 01:59:16,365 - mmseg - INFO - Saving checkpoint at 72000 iterations 2023-01-30 01:59:27,082 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 01:59:27,082 - mmseg - INFO - Iter [72000/160000] lr: 3.300e-05, eta: 10:11:09, time: 0.661, data_time: 0.052, memory: 12319, decode.loss_ce: 0.1993, decode.acc_seg: 73.8715, aux.loss_ce: 0.0894, aux.acc_seg: 73.1367, loss: 0.2887 2023-01-30 01:59:46,920 - mmseg - INFO - Iter [72050/160000] lr: 3.298e-05, eta: 10:10:47, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2107, decode.acc_seg: 72.7347, aux.loss_ce: 0.0918, aux.acc_seg: 72.2565, loss: 0.3025 2023-01-30 02:00:08,970 - mmseg - INFO - Iter [72100/160000] lr: 3.296e-05, eta: 10:10:27, time: 0.441, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2177, decode.acc_seg: 72.7693, aux.loss_ce: 0.0971, aux.acc_seg: 72.2408, loss: 0.3148 2023-01-30 02:00:28,624 - mmseg - INFO - Iter [72150/160000] lr: 3.294e-05, eta: 10:10:05, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2276, decode.acc_seg: 73.4925, aux.loss_ce: 0.1012, aux.acc_seg: 72.8732, loss: 0.3288 2023-01-30 02:00:48,146 - mmseg - INFO - Iter [72200/160000] lr: 3.293e-05, eta: 10:09:43, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2201, decode.acc_seg: 72.5195, aux.loss_ce: 0.0982, aux.acc_seg: 71.9285, loss: 0.3183 2023-01-30 02:01:08,089 - mmseg - INFO - Iter [72250/160000] lr: 3.291e-05, eta: 10:09:21, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2089, decode.acc_seg: 72.7755, aux.loss_ce: 0.0920, aux.acc_seg: 72.1884, loss: 0.3009 2023-01-30 02:01:28,140 - mmseg - INFO - Iter [72300/160000] lr: 3.289e-05, eta: 10:08:59, time: 0.401, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2204, decode.acc_seg: 74.6066, aux.loss_ce: 0.0971, aux.acc_seg: 74.0808, loss: 0.3176 2023-01-30 02:01:47,931 - mmseg - INFO - Iter [72350/160000] lr: 3.287e-05, eta: 10:08:37, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2265, decode.acc_seg: 72.0622, aux.loss_ce: 0.0991, aux.acc_seg: 71.5352, loss: 0.3256 2023-01-30 02:02:07,813 - mmseg - INFO - Iter [72400/160000] lr: 3.285e-05, eta: 10:08:15, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2130, decode.acc_seg: 74.7435, aux.loss_ce: 0.0948, aux.acc_seg: 74.1805, loss: 0.3078 2023-01-30 02:02:27,566 - mmseg - INFO - Iter [72450/160000] lr: 3.283e-05, eta: 10:07:53, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2325, decode.acc_seg: 73.0001, aux.loss_ce: 0.1014, aux.acc_seg: 72.5194, loss: 0.3340 2023-01-30 02:02:47,356 - mmseg - INFO - Iter [72500/160000] lr: 3.281e-05, eta: 10:07:31, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2193, decode.acc_seg: 73.4493, aux.loss_ce: 0.0965, aux.acc_seg: 72.8927, loss: 0.3158 2023-01-30 02:03:06,944 - mmseg - INFO - Iter [72550/160000] lr: 3.279e-05, eta: 10:07:08, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2098, decode.acc_seg: 73.5817, aux.loss_ce: 0.0927, aux.acc_seg: 72.9804, loss: 0.3024 2023-01-30 02:03:26,583 - mmseg - INFO - Iter [72600/160000] lr: 3.278e-05, eta: 10:06:46, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2195, decode.acc_seg: 74.9230, aux.loss_ce: 0.0970, aux.acc_seg: 74.3632, loss: 0.3165 2023-01-30 02:03:46,256 - mmseg - INFO - Iter [72650/160000] lr: 3.276e-05, eta: 10:06:24, time: 0.393, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2174, decode.acc_seg: 73.5134, aux.loss_ce: 0.0957, aux.acc_seg: 72.8847, loss: 0.3131 2023-01-30 02:04:06,092 - mmseg - INFO - Iter [72700/160000] lr: 3.274e-05, eta: 10:06:02, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2174, decode.acc_seg: 73.5632, aux.loss_ce: 0.0956, aux.acc_seg: 73.0120, loss: 0.3130 2023-01-30 02:04:25,784 - mmseg - INFO - Iter [72750/160000] lr: 3.272e-05, eta: 10:05:40, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2015, decode.acc_seg: 73.9380, aux.loss_ce: 0.0882, aux.acc_seg: 73.4656, loss: 0.2897 2023-01-30 02:04:45,568 - mmseg - INFO - Iter [72800/160000] lr: 3.270e-05, eta: 10:05:18, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2174, decode.acc_seg: 74.0157, aux.loss_ce: 0.0969, aux.acc_seg: 73.3776, loss: 0.3144 2023-01-30 02:05:05,181 - mmseg - INFO - Iter [72850/160000] lr: 3.268e-05, eta: 10:04:55, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2078, decode.acc_seg: 74.1767, aux.loss_ce: 0.0930, aux.acc_seg: 73.5847, loss: 0.3008 2023-01-30 02:05:25,213 - mmseg - INFO - Iter [72900/160000] lr: 3.266e-05, eta: 10:04:34, time: 0.401, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2105, decode.acc_seg: 73.1183, aux.loss_ce: 0.0922, aux.acc_seg: 72.6513, loss: 0.3026 2023-01-30 02:05:45,044 - mmseg - INFO - Iter [72950/160000] lr: 3.264e-05, eta: 10:04:12, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2099, decode.acc_seg: 73.1140, aux.loss_ce: 0.0929, aux.acc_seg: 72.5538, loss: 0.3028 2023-01-30 02:06:04,767 - mmseg - INFO - Saving checkpoint at 73000 iterations 2023-01-30 02:06:15,510 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 02:06:15,510 - mmseg - INFO - Iter [73000/160000] lr: 3.263e-05, eta: 10:04:02, time: 0.609, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2318, decode.acc_seg: 74.6044, aux.loss_ce: 0.1018, aux.acc_seg: 74.0805, loss: 0.3335 2023-01-30 02:06:35,496 - mmseg - INFO - Iter [73050/160000] lr: 3.261e-05, eta: 10:03:40, time: 0.400, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2174, decode.acc_seg: 73.0996, aux.loss_ce: 0.0964, aux.acc_seg: 72.4871, loss: 0.3139 2023-01-30 02:06:54,937 - mmseg - INFO - Iter [73100/160000] lr: 3.259e-05, eta: 10:03:18, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2179, decode.acc_seg: 73.4325, aux.loss_ce: 0.0958, aux.acc_seg: 72.8754, loss: 0.3137 2023-01-30 02:07:14,465 - mmseg - INFO - Iter [73150/160000] lr: 3.257e-05, eta: 10:02:56, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2287, decode.acc_seg: 72.9619, aux.loss_ce: 0.1020, aux.acc_seg: 72.2909, loss: 0.3307 2023-01-30 02:07:33,978 - mmseg - INFO - Iter [73200/160000] lr: 3.255e-05, eta: 10:02:33, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2216, decode.acc_seg: 74.9191, aux.loss_ce: 0.0986, aux.acc_seg: 74.2882, loss: 0.3201 2023-01-30 02:07:53,639 - mmseg - INFO - Iter [73250/160000] lr: 3.253e-05, eta: 10:02:11, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2205, decode.acc_seg: 72.6935, aux.loss_ce: 0.0972, aux.acc_seg: 72.1847, loss: 0.3177 2023-01-30 02:08:15,886 - mmseg - INFO - Iter [73300/160000] lr: 3.251e-05, eta: 10:01:52, time: 0.445, data_time: 0.049, memory: 12319, decode.loss_ce: 0.2083, decode.acc_seg: 74.4503, aux.loss_ce: 0.0926, aux.acc_seg: 73.8193, loss: 0.3009 2023-01-30 02:08:35,591 - mmseg - INFO - Iter [73350/160000] lr: 3.249e-05, eta: 10:01:30, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2193, decode.acc_seg: 74.5332, aux.loss_ce: 0.0957, aux.acc_seg: 73.9927, loss: 0.3149 2023-01-30 02:08:55,187 - mmseg - INFO - Iter [73400/160000] lr: 3.248e-05, eta: 10:01:07, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2040, decode.acc_seg: 74.6285, aux.loss_ce: 0.0908, aux.acc_seg: 74.0014, loss: 0.2947 2023-01-30 02:09:14,846 - mmseg - INFO - Iter [73450/160000] lr: 3.246e-05, eta: 10:00:45, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2140, decode.acc_seg: 72.5205, aux.loss_ce: 0.0955, aux.acc_seg: 71.9459, loss: 0.3095 2023-01-30 02:09:34,434 - mmseg - INFO - Iter [73500/160000] lr: 3.244e-05, eta: 10:00:23, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2088, decode.acc_seg: 72.0514, aux.loss_ce: 0.0918, aux.acc_seg: 71.4340, loss: 0.3005 2023-01-30 02:09:54,341 - mmseg - INFO - Iter [73550/160000] lr: 3.242e-05, eta: 10:00:01, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2287, decode.acc_seg: 72.8753, aux.loss_ce: 0.1011, aux.acc_seg: 72.2657, loss: 0.3299 2023-01-30 02:10:13,964 - mmseg - INFO - Iter [73600/160000] lr: 3.240e-05, eta: 9:59:39, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2202, decode.acc_seg: 74.1201, aux.loss_ce: 0.0980, aux.acc_seg: 73.4954, loss: 0.3183 2023-01-30 02:10:33,825 - mmseg - INFO - Iter [73650/160000] lr: 3.238e-05, eta: 9:59:17, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2176, decode.acc_seg: 73.8056, aux.loss_ce: 0.0958, aux.acc_seg: 73.3038, loss: 0.3134 2023-01-30 02:10:53,407 - mmseg - INFO - Iter [73700/160000] lr: 3.236e-05, eta: 9:58:55, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2107, decode.acc_seg: 74.2656, aux.loss_ce: 0.0933, aux.acc_seg: 73.6400, loss: 0.3041 2023-01-30 02:11:13,001 - mmseg - INFO - Iter [73750/160000] lr: 3.234e-05, eta: 9:58:32, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2115, decode.acc_seg: 73.3888, aux.loss_ce: 0.0933, aux.acc_seg: 72.8681, loss: 0.3049 2023-01-30 02:11:32,870 - mmseg - INFO - Iter [73800/160000] lr: 3.233e-05, eta: 9:58:10, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2172, decode.acc_seg: 73.9028, aux.loss_ce: 0.0969, aux.acc_seg: 73.3120, loss: 0.3142 2023-01-30 02:11:52,496 - mmseg - INFO - Iter [73850/160000] lr: 3.231e-05, eta: 9:57:48, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1940, decode.acc_seg: 74.5964, aux.loss_ce: 0.0866, aux.acc_seg: 73.9700, loss: 0.2806 2023-01-30 02:12:12,456 - mmseg - INFO - Iter [73900/160000] lr: 3.229e-05, eta: 9:57:26, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2187, decode.acc_seg: 74.4082, aux.loss_ce: 0.0970, aux.acc_seg: 73.7832, loss: 0.3157 2023-01-30 02:12:32,350 - mmseg - INFO - Iter [73950/160000] lr: 3.227e-05, eta: 9:57:05, time: 0.398, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2287, decode.acc_seg: 74.0174, aux.loss_ce: 0.1017, aux.acc_seg: 73.3749, loss: 0.3304 2023-01-30 02:12:52,080 - mmseg - INFO - Saving checkpoint at 74000 iterations 2023-01-30 02:13:02,846 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 02:13:02,847 - mmseg - INFO - Iter [74000/160000] lr: 3.225e-05, eta: 9:56:55, time: 0.609, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2262, decode.acc_seg: 74.4270, aux.loss_ce: 0.0997, aux.acc_seg: 73.8411, loss: 0.3260 2023-01-30 02:13:23,145 - mmseg - INFO - Iter [74050/160000] lr: 3.223e-05, eta: 9:56:34, time: 0.406, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2097, decode.acc_seg: 73.9032, aux.loss_ce: 0.0921, aux.acc_seg: 73.3572, loss: 0.3018 2023-01-30 02:13:42,762 - mmseg - INFO - Iter [74100/160000] lr: 3.221e-05, eta: 9:56:11, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2166, decode.acc_seg: 73.9873, aux.loss_ce: 0.0961, aux.acc_seg: 73.3771, loss: 0.3127 2023-01-30 02:14:02,377 - mmseg - INFO - Iter [74150/160000] lr: 3.219e-05, eta: 9:55:49, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2148, decode.acc_seg: 72.3671, aux.loss_ce: 0.0947, aux.acc_seg: 71.7032, loss: 0.3094 2023-01-30 02:14:22,384 - mmseg - INFO - Iter [74200/160000] lr: 3.218e-05, eta: 9:55:27, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2133, decode.acc_seg: 74.0099, aux.loss_ce: 0.0935, aux.acc_seg: 73.5606, loss: 0.3068 2023-01-30 02:14:42,207 - mmseg - INFO - Iter [74250/160000] lr: 3.216e-05, eta: 9:55:05, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2060, decode.acc_seg: 73.4059, aux.loss_ce: 0.0912, aux.acc_seg: 72.8640, loss: 0.2972 2023-01-30 02:15:02,139 - mmseg - INFO - Iter [74300/160000] lr: 3.214e-05, eta: 9:54:43, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2145, decode.acc_seg: 72.9873, aux.loss_ce: 0.0954, aux.acc_seg: 72.3518, loss: 0.3099 2023-01-30 02:15:21,800 - mmseg - INFO - Iter [74350/160000] lr: 3.212e-05, eta: 9:54:21, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2242, decode.acc_seg: 73.8227, aux.loss_ce: 0.1000, aux.acc_seg: 73.1377, loss: 0.3242 2023-01-30 02:15:41,309 - mmseg - INFO - Iter [74400/160000] lr: 3.210e-05, eta: 9:53:59, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2134, decode.acc_seg: 71.7537, aux.loss_ce: 0.0954, aux.acc_seg: 71.0883, loss: 0.3088 2023-01-30 02:16:01,035 - mmseg - INFO - Iter [74450/160000] lr: 3.208e-05, eta: 9:53:37, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2229, decode.acc_seg: 73.8981, aux.loss_ce: 0.0995, aux.acc_seg: 73.2236, loss: 0.3224 2023-01-30 02:16:20,848 - mmseg - INFO - Iter [74500/160000] lr: 3.206e-05, eta: 9:53:15, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2170, decode.acc_seg: 73.8660, aux.loss_ce: 0.0959, aux.acc_seg: 73.2383, loss: 0.3129 2023-01-30 02:16:43,306 - mmseg - INFO - Iter [74550/160000] lr: 3.204e-05, eta: 9:52:56, time: 0.449, data_time: 0.050, memory: 12319, decode.loss_ce: 0.2105, decode.acc_seg: 74.0781, aux.loss_ce: 0.0938, aux.acc_seg: 73.5556, loss: 0.3043 2023-01-30 02:17:03,010 - mmseg - INFO - Iter [74600/160000] lr: 3.203e-05, eta: 9:52:34, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1998, decode.acc_seg: 75.0142, aux.loss_ce: 0.0905, aux.acc_seg: 74.2345, loss: 0.2903 2023-01-30 02:17:22,881 - mmseg - INFO - Iter [74650/160000] lr: 3.201e-05, eta: 9:52:12, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2090, decode.acc_seg: 75.1522, aux.loss_ce: 0.0923, aux.acc_seg: 74.6730, loss: 0.3014 2023-01-30 02:17:42,501 - mmseg - INFO - Iter [74700/160000] lr: 3.199e-05, eta: 9:51:50, time: 0.392, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2095, decode.acc_seg: 74.7501, aux.loss_ce: 0.0930, aux.acc_seg: 74.0739, loss: 0.3026 2023-01-30 02:18:02,403 - mmseg - INFO - Iter [74750/160000] lr: 3.197e-05, eta: 9:51:28, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2082, decode.acc_seg: 72.2328, aux.loss_ce: 0.0927, aux.acc_seg: 71.6520, loss: 0.3010 2023-01-30 02:18:22,287 - mmseg - INFO - Iter [74800/160000] lr: 3.195e-05, eta: 9:51:06, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2074, decode.acc_seg: 74.0107, aux.loss_ce: 0.0910, aux.acc_seg: 73.4503, loss: 0.2985 2023-01-30 02:18:41,743 - mmseg - INFO - Iter [74850/160000] lr: 3.193e-05, eta: 9:50:44, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2218, decode.acc_seg: 73.3722, aux.loss_ce: 0.0993, aux.acc_seg: 72.7014, loss: 0.3211 2023-01-30 02:19:01,312 - mmseg - INFO - Iter [74900/160000] lr: 3.191e-05, eta: 9:50:22, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2060, decode.acc_seg: 73.6026, aux.loss_ce: 0.0916, aux.acc_seg: 73.0697, loss: 0.2977 2023-01-30 02:19:21,026 - mmseg - INFO - Iter [74950/160000] lr: 3.189e-05, eta: 9:49:59, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2126, decode.acc_seg: 72.9643, aux.loss_ce: 0.0935, aux.acc_seg: 72.3517, loss: 0.3060 2023-01-30 02:19:40,690 - mmseg - INFO - Saving checkpoint at 75000 iterations 2023-01-30 02:19:50,694 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 02:19:50,698 - mmseg - INFO - Iter [75000/160000] lr: 3.188e-05, eta: 9:49:49, time: 0.592, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2101, decode.acc_seg: 73.7522, aux.loss_ce: 0.0930, aux.acc_seg: 73.2140, loss: 0.3031 2023-01-30 02:20:11,131 - mmseg - INFO - Iter [75050/160000] lr: 3.186e-05, eta: 9:49:27, time: 0.410, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2132, decode.acc_seg: 74.3556, aux.loss_ce: 0.0941, aux.acc_seg: 73.8589, loss: 0.3073 2023-01-30 02:20:30,497 - mmseg - INFO - Iter [75100/160000] lr: 3.184e-05, eta: 9:49:05, time: 0.387, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2087, decode.acc_seg: 72.6551, aux.loss_ce: 0.0920, aux.acc_seg: 72.1053, loss: 0.3007 2023-01-30 02:20:50,105 - mmseg - INFO - Iter [75150/160000] lr: 3.182e-05, eta: 9:48:43, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2246, decode.acc_seg: 73.4005, aux.loss_ce: 0.1001, aux.acc_seg: 72.7659, loss: 0.3246 2023-01-30 02:21:09,756 - mmseg - INFO - Iter [75200/160000] lr: 3.180e-05, eta: 9:48:21, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2116, decode.acc_seg: 74.7450, aux.loss_ce: 0.0945, aux.acc_seg: 74.0446, loss: 0.3060 2023-01-30 02:21:29,633 - mmseg - INFO - Iter [75250/160000] lr: 3.178e-05, eta: 9:47:59, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2133, decode.acc_seg: 72.8870, aux.loss_ce: 0.0940, aux.acc_seg: 72.4245, loss: 0.3074 2023-01-30 02:21:49,401 - mmseg - INFO - Iter [75300/160000] lr: 3.176e-05, eta: 9:47:37, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2248, decode.acc_seg: 73.5108, aux.loss_ce: 0.0986, aux.acc_seg: 72.9042, loss: 0.3234 2023-01-30 02:22:09,335 - mmseg - INFO - Iter [75350/160000] lr: 3.174e-05, eta: 9:47:15, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2245, decode.acc_seg: 72.3688, aux.loss_ce: 0.1000, aux.acc_seg: 71.8137, loss: 0.3245 2023-01-30 02:22:29,749 - mmseg - INFO - Iter [75400/160000] lr: 3.173e-05, eta: 9:46:54, time: 0.408, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2172, decode.acc_seg: 73.3655, aux.loss_ce: 0.0960, aux.acc_seg: 72.7962, loss: 0.3132 2023-01-30 02:22:49,629 - mmseg - INFO - Iter [75450/160000] lr: 3.171e-05, eta: 9:46:32, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1986, decode.acc_seg: 73.6869, aux.loss_ce: 0.0886, aux.acc_seg: 73.0999, loss: 0.2871 2023-01-30 02:23:09,747 - mmseg - INFO - Iter [75500/160000] lr: 3.169e-05, eta: 9:46:10, time: 0.405, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2209, decode.acc_seg: 74.6314, aux.loss_ce: 0.0977, aux.acc_seg: 74.0352, loss: 0.3186 2023-01-30 02:23:29,404 - mmseg - INFO - Iter [75550/160000] lr: 3.167e-05, eta: 9:45:48, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2162, decode.acc_seg: 73.5544, aux.loss_ce: 0.0955, aux.acc_seg: 72.9918, loss: 0.3117 2023-01-30 02:23:49,368 - mmseg - INFO - Iter [75600/160000] lr: 3.165e-05, eta: 9:45:26, time: 0.399, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2032, decode.acc_seg: 73.6374, aux.loss_ce: 0.0911, aux.acc_seg: 73.0473, loss: 0.2944 2023-01-30 02:24:09,224 - mmseg - INFO - Iter [75650/160000] lr: 3.163e-05, eta: 9:45:04, time: 0.398, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2127, decode.acc_seg: 74.8702, aux.loss_ce: 0.0952, aux.acc_seg: 74.3079, loss: 0.3079 2023-01-30 02:24:29,055 - mmseg - INFO - Iter [75700/160000] lr: 3.161e-05, eta: 9:44:43, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2107, decode.acc_seg: 72.9028, aux.loss_ce: 0.0935, aux.acc_seg: 72.3847, loss: 0.3042 2023-01-30 02:24:48,746 - mmseg - INFO - Iter [75750/160000] lr: 3.159e-05, eta: 9:44:21, time: 0.394, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2195, decode.acc_seg: 72.3484, aux.loss_ce: 0.0969, aux.acc_seg: 71.7662, loss: 0.3164 2023-01-30 02:25:11,096 - mmseg - INFO - Iter [75800/160000] lr: 3.158e-05, eta: 9:44:02, time: 0.449, data_time: 0.052, memory: 12319, decode.loss_ce: 0.2112, decode.acc_seg: 74.1474, aux.loss_ce: 0.0940, aux.acc_seg: 73.5636, loss: 0.3052 2023-01-30 02:25:30,653 - mmseg - INFO - Iter [75850/160000] lr: 3.156e-05, eta: 9:43:39, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1992, decode.acc_seg: 74.5333, aux.loss_ce: 0.0888, aux.acc_seg: 73.9177, loss: 0.2880 2023-01-30 02:25:50,300 - mmseg - INFO - Iter [75900/160000] lr: 3.154e-05, eta: 9:43:17, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2042, decode.acc_seg: 74.6393, aux.loss_ce: 0.0898, aux.acc_seg: 74.1399, loss: 0.2940 2023-01-30 02:26:10,265 - mmseg - INFO - Iter [75950/160000] lr: 3.152e-05, eta: 9:42:56, time: 0.401, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2180, decode.acc_seg: 73.2909, aux.loss_ce: 0.0959, aux.acc_seg: 72.7060, loss: 0.3139 2023-01-30 02:26:30,276 - mmseg - INFO - Saving checkpoint at 76000 iterations 2023-01-30 02:26:40,403 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 02:26:40,404 - mmseg - INFO - Iter [76000/160000] lr: 3.150e-05, eta: 9:42:45, time: 0.602, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2045, decode.acc_seg: 73.0334, aux.loss_ce: 0.0904, aux.acc_seg: 72.5971, loss: 0.2949 2023-01-30 02:27:00,508 - mmseg - INFO - Iter [76050/160000] lr: 3.148e-05, eta: 9:42:23, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2009, decode.acc_seg: 72.9694, aux.loss_ce: 0.0910, aux.acc_seg: 72.2127, loss: 0.2919 2023-01-30 02:27:20,473 - mmseg - INFO - Iter [76100/160000] lr: 3.146e-05, eta: 9:42:02, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2134, decode.acc_seg: 72.6718, aux.loss_ce: 0.0946, aux.acc_seg: 72.0580, loss: 0.3079 2023-01-30 02:27:40,049 - mmseg - INFO - Iter [76150/160000] lr: 3.144e-05, eta: 9:41:40, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2181, decode.acc_seg: 74.1178, aux.loss_ce: 0.0961, aux.acc_seg: 73.4832, loss: 0.3142 2023-01-30 02:27:59,857 - mmseg - INFO - Iter [76200/160000] lr: 3.143e-05, eta: 9:41:18, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2153, decode.acc_seg: 74.6689, aux.loss_ce: 0.0934, aux.acc_seg: 74.1228, loss: 0.3086 2023-01-30 02:28:19,743 - mmseg - INFO - Iter [76250/160000] lr: 3.141e-05, eta: 9:40:56, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2163, decode.acc_seg: 74.9812, aux.loss_ce: 0.0950, aux.acc_seg: 74.4343, loss: 0.3113 2023-01-30 02:28:39,278 - mmseg - INFO - Iter [76300/160000] lr: 3.139e-05, eta: 9:40:34, time: 0.391, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2182, decode.acc_seg: 73.3160, aux.loss_ce: 0.0962, aux.acc_seg: 72.6876, loss: 0.3144 2023-01-30 02:28:59,035 - mmseg - INFO - Iter [76350/160000] lr: 3.137e-05, eta: 9:40:12, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1979, decode.acc_seg: 73.4909, aux.loss_ce: 0.0887, aux.acc_seg: 72.8973, loss: 0.2866 2023-01-30 02:29:18,682 - mmseg - INFO - Iter [76400/160000] lr: 3.135e-05, eta: 9:39:50, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2021, decode.acc_seg: 73.9666, aux.loss_ce: 0.0900, aux.acc_seg: 73.4472, loss: 0.2920 2023-01-30 02:29:38,231 - mmseg - INFO - Iter [76450/160000] lr: 3.133e-05, eta: 9:39:27, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2252, decode.acc_seg: 73.8748, aux.loss_ce: 0.1003, aux.acc_seg: 73.2393, loss: 0.3255 2023-01-30 02:29:57,947 - mmseg - INFO - Iter [76500/160000] lr: 3.131e-05, eta: 9:39:05, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2273, decode.acc_seg: 72.6080, aux.loss_ce: 0.1002, aux.acc_seg: 72.0641, loss: 0.3275 2023-01-30 02:30:17,617 - mmseg - INFO - Iter [76550/160000] lr: 3.129e-05, eta: 9:38:43, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2220, decode.acc_seg: 74.1425, aux.loss_ce: 0.0975, aux.acc_seg: 73.5865, loss: 0.3195 2023-01-30 02:30:37,483 - mmseg - INFO - Iter [76600/160000] lr: 3.128e-05, eta: 9:38:21, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2060, decode.acc_seg: 74.3084, aux.loss_ce: 0.0908, aux.acc_seg: 73.6763, loss: 0.2969 2023-01-30 02:30:57,363 - mmseg - INFO - Iter [76650/160000] lr: 3.126e-05, eta: 9:38:00, time: 0.398, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2011, decode.acc_seg: 72.7444, aux.loss_ce: 0.0891, aux.acc_seg: 72.0975, loss: 0.2902 2023-01-30 02:31:16,819 - mmseg - INFO - Iter [76700/160000] lr: 3.124e-05, eta: 9:37:37, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2266, decode.acc_seg: 74.1016, aux.loss_ce: 0.0998, aux.acc_seg: 73.4879, loss: 0.3263 2023-01-30 02:31:36,428 - mmseg - INFO - Iter [76750/160000] lr: 3.122e-05, eta: 9:37:15, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2110, decode.acc_seg: 73.6971, aux.loss_ce: 0.0940, aux.acc_seg: 73.1210, loss: 0.3050 2023-01-30 02:31:56,014 - mmseg - INFO - Iter [76800/160000] lr: 3.120e-05, eta: 9:36:53, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2046, decode.acc_seg: 74.9620, aux.loss_ce: 0.0909, aux.acc_seg: 74.2308, loss: 0.2955 2023-01-30 02:32:15,467 - mmseg - INFO - Iter [76850/160000] lr: 3.118e-05, eta: 9:36:31, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2163, decode.acc_seg: 74.8142, aux.loss_ce: 0.0961, aux.acc_seg: 74.2058, loss: 0.3125 2023-01-30 02:32:35,233 - mmseg - INFO - Iter [76900/160000] lr: 3.116e-05, eta: 9:36:09, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2188, decode.acc_seg: 73.9520, aux.loss_ce: 0.0979, aux.acc_seg: 73.4136, loss: 0.3168 2023-01-30 02:32:55,046 - mmseg - INFO - Iter [76950/160000] lr: 3.114e-05, eta: 9:35:47, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2166, decode.acc_seg: 73.5455, aux.loss_ce: 0.0957, aux.acc_seg: 72.9672, loss: 0.3123 2023-01-30 02:33:14,929 - mmseg - INFO - Saving checkpoint at 77000 iterations 2023-01-30 02:33:25,889 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 02:33:25,889 - mmseg - INFO - Iter [77000/160000] lr: 3.113e-05, eta: 9:35:37, time: 0.616, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2150, decode.acc_seg: 74.3098, aux.loss_ce: 0.0945, aux.acc_seg: 73.8615, loss: 0.3095 2023-01-30 02:33:49,057 - mmseg - INFO - Iter [77050/160000] lr: 3.111e-05, eta: 9:35:19, time: 0.464, data_time: 0.051, memory: 12319, decode.loss_ce: 0.2056, decode.acc_seg: 73.2243, aux.loss_ce: 0.0911, aux.acc_seg: 72.6805, loss: 0.2967 2023-01-30 02:34:08,675 - mmseg - INFO - Iter [77100/160000] lr: 3.109e-05, eta: 9:34:57, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2152, decode.acc_seg: 74.2415, aux.loss_ce: 0.0952, aux.acc_seg: 73.6881, loss: 0.3104 2023-01-30 02:34:28,511 - mmseg - INFO - Iter [77150/160000] lr: 3.107e-05, eta: 9:34:35, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2113, decode.acc_seg: 73.7963, aux.loss_ce: 0.0950, aux.acc_seg: 73.1384, loss: 0.3064 2023-01-30 02:34:48,465 - mmseg - INFO - Iter [77200/160000] lr: 3.105e-05, eta: 9:34:13, time: 0.399, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2117, decode.acc_seg: 74.1994, aux.loss_ce: 0.0943, aux.acc_seg: 73.5693, loss: 0.3060 2023-01-30 02:35:08,427 - mmseg - INFO - Iter [77250/160000] lr: 3.103e-05, eta: 9:33:52, time: 0.401, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2139, decode.acc_seg: 71.8788, aux.loss_ce: 0.0957, aux.acc_seg: 71.2580, loss: 0.3096 2023-01-30 02:35:28,384 - mmseg - INFO - Iter [77300/160000] lr: 3.101e-05, eta: 9:33:30, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1977, decode.acc_seg: 72.6003, aux.loss_ce: 0.0888, aux.acc_seg: 71.9230, loss: 0.2865 2023-01-30 02:35:47,837 - mmseg - INFO - Iter [77350/160000] lr: 3.099e-05, eta: 9:33:08, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1974, decode.acc_seg: 75.5469, aux.loss_ce: 0.0876, aux.acc_seg: 74.9667, loss: 0.2850 2023-01-30 02:36:07,641 - mmseg - INFO - Iter [77400/160000] lr: 3.098e-05, eta: 9:32:46, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2088, decode.acc_seg: 74.2974, aux.loss_ce: 0.0934, aux.acc_seg: 73.7181, loss: 0.3021 2023-01-30 02:36:27,186 - mmseg - INFO - Iter [77450/160000] lr: 3.096e-05, eta: 9:32:23, time: 0.391, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2036, decode.acc_seg: 73.8097, aux.loss_ce: 0.0912, aux.acc_seg: 73.0890, loss: 0.2948 2023-01-30 02:36:47,001 - mmseg - INFO - Iter [77500/160000] lr: 3.094e-05, eta: 9:32:02, time: 0.396, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2087, decode.acc_seg: 75.0368, aux.loss_ce: 0.0927, aux.acc_seg: 74.4223, loss: 0.3014 2023-01-30 02:37:06,858 - mmseg - INFO - Iter [77550/160000] lr: 3.092e-05, eta: 9:31:40, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2119, decode.acc_seg: 74.5944, aux.loss_ce: 0.0942, aux.acc_seg: 73.9195, loss: 0.3061 2023-01-30 02:37:26,784 - mmseg - INFO - Iter [77600/160000] lr: 3.090e-05, eta: 9:31:18, time: 0.398, data_time: 0.007, memory: 12319, decode.loss_ce: 0.2149, decode.acc_seg: 73.6073, aux.loss_ce: 0.0961, aux.acc_seg: 72.9796, loss: 0.3110 2023-01-30 02:37:46,516 - mmseg - INFO - Iter [77650/160000] lr: 3.088e-05, eta: 9:30:56, time: 0.395, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2164, decode.acc_seg: 73.3230, aux.loss_ce: 0.0961, aux.acc_seg: 72.6901, loss: 0.3126 2023-01-30 02:38:06,422 - mmseg - INFO - Iter [77700/160000] lr: 3.086e-05, eta: 9:30:34, time: 0.400, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2038, decode.acc_seg: 74.0600, aux.loss_ce: 0.0900, aux.acc_seg: 73.4848, loss: 0.2938 2023-01-30 02:38:26,261 - mmseg - INFO - Iter [77750/160000] lr: 3.084e-05, eta: 9:30:13, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2128, decode.acc_seg: 75.1387, aux.loss_ce: 0.0942, aux.acc_seg: 74.6419, loss: 0.3070 2023-01-30 02:38:46,000 - mmseg - INFO - Iter [77800/160000] lr: 3.083e-05, eta: 9:29:51, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2078, decode.acc_seg: 73.2885, aux.loss_ce: 0.0940, aux.acc_seg: 72.6207, loss: 0.3018 2023-01-30 02:39:05,834 - mmseg - INFO - Iter [77850/160000] lr: 3.081e-05, eta: 9:29:29, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2251, decode.acc_seg: 73.6305, aux.loss_ce: 0.0997, aux.acc_seg: 72.9897, loss: 0.3247 2023-01-30 02:39:25,705 - mmseg - INFO - Iter [77900/160000] lr: 3.079e-05, eta: 9:29:07, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1978, decode.acc_seg: 76.0726, aux.loss_ce: 0.0880, aux.acc_seg: 75.4606, loss: 0.2858 2023-01-30 02:39:45,161 - mmseg - INFO - Iter [77950/160000] lr: 3.077e-05, eta: 9:28:45, time: 0.392, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2128, decode.acc_seg: 72.9456, aux.loss_ce: 0.0943, aux.acc_seg: 72.4364, loss: 0.3071 2023-01-30 02:40:04,972 - mmseg - INFO - Saving checkpoint at 78000 iterations 2023-01-30 02:40:15,713 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 02:40:15,713 - mmseg - INFO - Iter [78000/160000] lr: 3.075e-05, eta: 9:28:34, time: 0.611, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2131, decode.acc_seg: 73.8909, aux.loss_ce: 0.0940, aux.acc_seg: 73.3048, loss: 0.3072 2023-01-30 02:40:36,017 - mmseg - INFO - Iter [78050/160000] lr: 3.073e-05, eta: 9:28:13, time: 0.406, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2137, decode.acc_seg: 73.2726, aux.loss_ce: 0.0939, aux.acc_seg: 72.7353, loss: 0.3076 2023-01-30 02:40:55,993 - mmseg - INFO - Iter [78100/160000] lr: 3.071e-05, eta: 9:27:51, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1975, decode.acc_seg: 74.6112, aux.loss_ce: 0.0884, aux.acc_seg: 73.9797, loss: 0.2859 2023-01-30 02:41:15,837 - mmseg - INFO - Iter [78150/160000] lr: 3.069e-05, eta: 9:27:30, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2151, decode.acc_seg: 74.4695, aux.loss_ce: 0.0949, aux.acc_seg: 73.7664, loss: 0.3100 2023-01-30 02:41:35,800 - mmseg - INFO - Iter [78200/160000] lr: 3.068e-05, eta: 9:27:08, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1995, decode.acc_seg: 75.0077, aux.loss_ce: 0.0877, aux.acc_seg: 74.4552, loss: 0.2871 2023-01-30 02:41:55,623 - mmseg - INFO - Iter [78250/160000] lr: 3.066e-05, eta: 9:26:46, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2075, decode.acc_seg: 74.4670, aux.loss_ce: 0.0934, aux.acc_seg: 73.7473, loss: 0.3009 2023-01-30 02:42:15,286 - mmseg - INFO - Iter [78300/160000] lr: 3.064e-05, eta: 9:26:24, time: 0.393, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1998, decode.acc_seg: 74.7230, aux.loss_ce: 0.0885, aux.acc_seg: 74.0714, loss: 0.2883 2023-01-30 02:42:37,753 - mmseg - INFO - Iter [78350/160000] lr: 3.062e-05, eta: 9:26:05, time: 0.449, data_time: 0.055, memory: 12319, decode.loss_ce: 0.1983, decode.acc_seg: 74.3480, aux.loss_ce: 0.0872, aux.acc_seg: 73.8805, loss: 0.2856 2023-01-30 02:42:58,154 - mmseg - INFO - Iter [78400/160000] lr: 3.060e-05, eta: 9:25:44, time: 0.408, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2088, decode.acc_seg: 72.5763, aux.loss_ce: 0.0935, aux.acc_seg: 71.9245, loss: 0.3023 2023-01-30 02:43:17,931 - mmseg - INFO - Iter [78450/160000] lr: 3.058e-05, eta: 9:25:22, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2090, decode.acc_seg: 75.3353, aux.loss_ce: 0.0925, aux.acc_seg: 74.7017, loss: 0.3014 2023-01-30 02:43:37,528 - mmseg - INFO - Iter [78500/160000] lr: 3.056e-05, eta: 9:25:00, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2051, decode.acc_seg: 75.5117, aux.loss_ce: 0.0911, aux.acc_seg: 74.8815, loss: 0.2962 2023-01-30 02:43:57,487 - mmseg - INFO - Iter [78550/160000] lr: 3.054e-05, eta: 9:24:38, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2172, decode.acc_seg: 74.2206, aux.loss_ce: 0.0966, aux.acc_seg: 73.6174, loss: 0.3138 2023-01-30 02:44:17,281 - mmseg - INFO - Iter [78600/160000] lr: 3.053e-05, eta: 9:24:16, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1994, decode.acc_seg: 73.5523, aux.loss_ce: 0.0889, aux.acc_seg: 72.9640, loss: 0.2884 2023-01-30 02:44:37,108 - mmseg - INFO - Iter [78650/160000] lr: 3.051e-05, eta: 9:23:55, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2073, decode.acc_seg: 75.0690, aux.loss_ce: 0.0925, aux.acc_seg: 74.3806, loss: 0.2998 2023-01-30 02:44:56,958 - mmseg - INFO - Iter [78700/160000] lr: 3.049e-05, eta: 9:23:33, time: 0.399, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2052, decode.acc_seg: 73.9631, aux.loss_ce: 0.0907, aux.acc_seg: 73.3671, loss: 0.2959 2023-01-30 02:45:17,061 - mmseg - INFO - Iter [78750/160000] lr: 3.047e-05, eta: 9:23:11, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2078, decode.acc_seg: 75.1056, aux.loss_ce: 0.0921, aux.acc_seg: 74.5777, loss: 0.2999 2023-01-30 02:45:36,900 - mmseg - INFO - Iter [78800/160000] lr: 3.045e-05, eta: 9:22:49, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2089, decode.acc_seg: 73.6686, aux.loss_ce: 0.0929, aux.acc_seg: 73.0432, loss: 0.3018 2023-01-30 02:45:56,658 - mmseg - INFO - Iter [78850/160000] lr: 3.043e-05, eta: 9:22:28, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2067, decode.acc_seg: 72.8972, aux.loss_ce: 0.0920, aux.acc_seg: 72.3176, loss: 0.2987 2023-01-30 02:46:16,625 - mmseg - INFO - Iter [78900/160000] lr: 3.041e-05, eta: 9:22:06, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2146, decode.acc_seg: 74.8039, aux.loss_ce: 0.0958, aux.acc_seg: 74.1474, loss: 0.3103 2023-01-30 02:46:36,460 - mmseg - INFO - Iter [78950/160000] lr: 3.039e-05, eta: 9:21:44, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2104, decode.acc_seg: 74.5147, aux.loss_ce: 0.0935, aux.acc_seg: 73.9152, loss: 0.3039 2023-01-30 02:46:56,192 - mmseg - INFO - Saving checkpoint at 79000 iterations 2023-01-30 02:47:06,333 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 02:47:06,347 - mmseg - INFO - Iter [79000/160000] lr: 3.038e-05, eta: 9:21:33, time: 0.597, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2072, decode.acc_seg: 73.2273, aux.loss_ce: 0.0920, aux.acc_seg: 72.6507, loss: 0.2992 2023-01-30 02:47:26,388 - mmseg - INFO - Iter [79050/160000] lr: 3.036e-05, eta: 9:21:11, time: 0.402, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2080, decode.acc_seg: 73.6905, aux.loss_ce: 0.0924, aux.acc_seg: 73.1319, loss: 0.3004 2023-01-30 02:47:46,128 - mmseg - INFO - Iter [79100/160000] lr: 3.034e-05, eta: 9:20:49, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2167, decode.acc_seg: 75.2883, aux.loss_ce: 0.0964, aux.acc_seg: 74.5601, loss: 0.3131 2023-01-30 02:48:05,710 - mmseg - INFO - Iter [79150/160000] lr: 3.032e-05, eta: 9:20:27, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2102, decode.acc_seg: 74.6079, aux.loss_ce: 0.0949, aux.acc_seg: 74.0116, loss: 0.3051 2023-01-30 02:48:25,426 - mmseg - INFO - Iter [79200/160000] lr: 3.030e-05, eta: 9:20:05, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2305, decode.acc_seg: 73.5122, aux.loss_ce: 0.1000, aux.acc_seg: 73.0657, loss: 0.3305 2023-01-30 02:48:44,974 - mmseg - INFO - Iter [79250/160000] lr: 3.028e-05, eta: 9:19:43, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2186, decode.acc_seg: 74.2221, aux.loss_ce: 0.0968, aux.acc_seg: 73.6321, loss: 0.3154 2023-01-30 02:49:04,710 - mmseg - INFO - Iter [79300/160000] lr: 3.026e-05, eta: 9:19:21, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2078, decode.acc_seg: 74.6494, aux.loss_ce: 0.0920, aux.acc_seg: 74.0779, loss: 0.2998 2023-01-30 02:49:24,379 - mmseg - INFO - Iter [79350/160000] lr: 3.024e-05, eta: 9:19:00, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1982, decode.acc_seg: 74.3971, aux.loss_ce: 0.0882, aux.acc_seg: 73.8633, loss: 0.2863 2023-01-30 02:49:44,217 - mmseg - INFO - Iter [79400/160000] lr: 3.023e-05, eta: 9:18:38, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2055, decode.acc_seg: 74.4760, aux.loss_ce: 0.0923, aux.acc_seg: 73.8107, loss: 0.2978 2023-01-30 02:50:03,973 - mmseg - INFO - Iter [79450/160000] lr: 3.021e-05, eta: 9:18:16, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2006, decode.acc_seg: 73.6268, aux.loss_ce: 0.0889, aux.acc_seg: 73.0397, loss: 0.2895 2023-01-30 02:50:23,554 - mmseg - INFO - Iter [79500/160000] lr: 3.019e-05, eta: 9:17:54, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1976, decode.acc_seg: 74.9613, aux.loss_ce: 0.0882, aux.acc_seg: 74.3376, loss: 0.2858 2023-01-30 02:50:43,083 - mmseg - INFO - Iter [79550/160000] lr: 3.017e-05, eta: 9:17:32, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2071, decode.acc_seg: 72.7769, aux.loss_ce: 0.0926, aux.acc_seg: 71.9963, loss: 0.2997 2023-01-30 02:51:05,733 - mmseg - INFO - Iter [79600/160000] lr: 3.015e-05, eta: 9:17:13, time: 0.452, data_time: 0.052, memory: 12319, decode.loss_ce: 0.2100, decode.acc_seg: 73.2942, aux.loss_ce: 0.0932, aux.acc_seg: 72.8393, loss: 0.3032 2023-01-30 02:51:25,480 - mmseg - INFO - Iter [79650/160000] lr: 3.013e-05, eta: 9:16:51, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2070, decode.acc_seg: 74.6812, aux.loss_ce: 0.0912, aux.acc_seg: 74.2200, loss: 0.2982 2023-01-30 02:51:45,363 - mmseg - INFO - Iter [79700/160000] lr: 3.011e-05, eta: 9:16:29, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2107, decode.acc_seg: 73.9582, aux.loss_ce: 0.0947, aux.acc_seg: 73.2443, loss: 0.3054 2023-01-30 02:52:05,333 - mmseg - INFO - Iter [79750/160000] lr: 3.009e-05, eta: 9:16:08, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2033, decode.acc_seg: 74.4714, aux.loss_ce: 0.0918, aux.acc_seg: 73.7721, loss: 0.2951 2023-01-30 02:52:24,830 - mmseg - INFO - Iter [79800/160000] lr: 3.008e-05, eta: 9:15:46, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2080, decode.acc_seg: 73.3777, aux.loss_ce: 0.0917, aux.acc_seg: 72.8459, loss: 0.2996 2023-01-30 02:52:44,564 - mmseg - INFO - Iter [79850/160000] lr: 3.006e-05, eta: 9:15:24, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2070, decode.acc_seg: 74.9803, aux.loss_ce: 0.0903, aux.acc_seg: 74.4646, loss: 0.2973 2023-01-30 02:53:04,070 - mmseg - INFO - Iter [79900/160000] lr: 3.004e-05, eta: 9:15:02, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2148, decode.acc_seg: 73.8132, aux.loss_ce: 0.0956, aux.acc_seg: 73.1862, loss: 0.3104 2023-01-30 02:53:23,869 - mmseg - INFO - Iter [79950/160000] lr: 3.002e-05, eta: 9:14:40, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2258, decode.acc_seg: 73.7146, aux.loss_ce: 0.1004, aux.acc_seg: 73.0074, loss: 0.3262 2023-01-30 02:53:43,614 - mmseg - INFO - Saving checkpoint at 80000 iterations 2023-01-30 02:53:54,157 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 02:53:54,157 - mmseg - INFO - Iter [80000/160000] lr: 3.000e-05, eta: 9:14:29, time: 0.605, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2031, decode.acc_seg: 73.0361, aux.loss_ce: 0.0916, aux.acc_seg: 72.4020, loss: 0.2947 2023-01-30 02:54:23,888 - mmseg - INFO - per class results: 2023-01-30 02:54:23,897 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.73 | 89.88 | | building | 84.24 | 92.22 | | sky | 94.87 | 97.51 | | floor | 83.27 | 90.49 | | tree | 75.97 | 89.33 | | ceiling | 85.33 | 93.24 | | road | 85.04 | 89.04 | | bed | 91.7 | 95.89 | | windowpane | 63.62 | 76.93 | | grass | 69.49 | 84.67 | | cabinet | 63.06 | 74.38 | | sidewalk | 68.55 | 85.86 | | person | 84.47 | 92.6 | | earth | 40.96 | 55.32 | | door | 54.13 | 67.22 | | table | 68.66 | 80.19 | | mountain | 54.3 | 65.29 | | plant | 53.23 | 61.62 | | curtain | 75.98 | 84.6 | | chair | 61.61 | 75.13 | | car | 86.08 | 93.94 | | water | 65.1 | 81.69 | | painting | 76.44 | 88.94 | | sofa | 71.12 | 83.69 | | shelf | 46.08 | 62.57 | | house | 52.83 | 74.03 | | sea | 71.49 | 82.97 | | mirror | 72.44 | 80.74 | | rug | 65.39 | 82.25 | | field | 29.3 | 50.37 | | armchair | 48.77 | 70.54 | | seat | 65.97 | 85.24 | | fence | 50.79 | 65.0 | | desk | 56.72 | 74.6 | | rock | 48.25 | 74.44 | | wardrobe | 55.52 | 73.07 | | lamp | 67.81 | 78.74 | | bathtub | 83.09 | 85.39 | | railing | 38.5 | 54.19 | | cushion | 64.25 | 80.33 | | base | 41.13 | 53.05 | | box | 31.82 | 40.99 | | column | 47.56 | 61.46 | | signboard | 39.99 | 55.57 | | chest of drawers | 38.19 | 59.02 | | counter | 42.39 | 47.92 | | sand | 54.03 | 81.38 | | sink | 76.13 | 82.12 | | skyscraper | 47.28 | 56.46 | | fireplace | 74.02 | 93.41 | | refrigerator | 85.6 | 93.7 | | grandstand | 56.25 | 77.88 | | path | 26.02 | 40.41 | | stairs | 29.17 | 39.83 | | runway | 74.59 | 97.72 | | case | 63.37 | 79.0 | | pool table | 93.86 | 97.94 | | pillow | 60.08 | 69.16 | | screen door | 75.44 | 89.72 | | stairway | 40.78 | 64.95 | | river | 11.14 | 22.29 | | bridge | 78.86 | 89.37 | | bookcase | 42.51 | 65.09 | | blind | 44.51 | 49.81 | | coffee table | 65.78 | 89.14 | | toilet | 88.24 | 92.88 | | flower | 40.04 | 53.24 | | book | 50.23 | 70.84 | | hill | 6.8 | 10.18 | | bench | 52.31 | 62.85 | | countertop | 59.33 | 79.02 | | stove | 80.93 | 91.07 | | palm | 55.58 | 78.68 | | kitchen island | 48.39 | 82.13 | | computer | 77.9 | 90.31 | | swivel chair | 46.69 | 69.83 | | boat | 78.07 | 91.09 | | bar | 55.24 | 81.63 | | arcade machine | 81.81 | 85.67 | | hovel | 49.16 | 66.52 | | bus | 91.17 | 95.96 | | towel | 64.47 | 85.92 | | light | 56.26 | 64.13 | | truck | 40.68 | 50.67 | | tower | 19.25 | 37.27 | | chandelier | 67.69 | 79.4 | | awning | 34.09 | 44.53 | | streetlight | 32.98 | 41.71 | | booth | 55.57 | 72.32 | | television receiver | 72.35 | 84.39 | | airplane | 61.37 | 70.31 | | dirt track | 4.59 | 23.58 | | apparel | 50.92 | 57.6 | | pole | 25.29 | 36.72 | | land | 4.46 | 6.21 | | bannister | 13.35 | 17.37 | | escalator | 49.32 | 64.77 | | ottoman | 53.4 | 68.32 | | bottle | 40.32 | 62.46 | | buffet | 58.68 | 76.32 | | poster | 32.28 | 41.97 | | stage | 16.57 | 36.28 | | van | 49.23 | 62.06 | | ship | 11.49 | 11.6 | | fountain | 27.04 | 27.76 | | conveyer belt | 82.75 | 95.33 | | canopy | 50.29 | 73.73 | | washer | 85.41 | 89.46 | | plaything | 46.56 | 62.32 | | swimming pool | 64.6 | 88.24 | | stool | 41.18 | 57.63 | | barrel | 54.58 | 64.67 | | basket | 42.41 | 54.48 | | waterfall | 50.47 | 63.2 | | tent | 91.8 | 98.45 | | bag | 17.93 | 21.0 | | minibike | 72.15 | 87.44 | | cradle | 82.68 | 97.95 | | oven | 56.96 | 70.45 | | ball | 56.56 | 68.86 | | food | 59.02 | 74.64 | | step | 11.17 | 14.88 | | tank | 63.41 | 65.52 | | trade name | 25.49 | 27.93 | | microwave | 85.51 | 94.3 | | pot | 45.62 | 52.27 | | animal | 57.77 | 59.27 | | bicycle | 55.36 | 75.62 | | lake | 61.23 | 63.77 | | dishwasher | 70.61 | 77.42 | | screen | 48.21 | 67.94 | | blanket | 30.56 | 38.42 | | sculpture | 75.66 | 83.73 | | hood | 61.83 | 70.42 | | sconce | 47.27 | 53.2 | | vase | 44.7 | 57.96 | | traffic light | 37.2 | 58.86 | | tray | 9.68 | 11.92 | | ashcan | 45.54 | 61.34 | | fan | 66.87 | 81.73 | | pier | 30.37 | 43.28 | | crt screen | 22.31 | 41.42 | | plate | 58.8 | 73.0 | | monitor | 55.94 | 65.48 | | bulletin board | 51.67 | 67.28 | | shower | 2.08 | 4.6 | | radiator | 71.63 | 80.86 | | glass | 14.78 | 15.41 | | clock | 46.16 | 53.16 | | flag | 49.17 | 52.61 | +---------------------+-------+-------+ 2023-01-30 02:54:23,897 - mmseg - INFO - Summary: 2023-01-30 02:54:23,897 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 84.9 | 54.67 | 67.12 | +------+-------+-------+ 2023-01-30 02:54:24,094 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/segmentation/work_dirs/upernet_uniperceiver_adapter_large_512_160k_ade20k/best_mIoU_iter_64000.pth was removed 2023-01-30 02:54:34,668 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_80000.pth. 2023-01-30 02:54:34,675 - mmseg - INFO - Best mIoU is 0.5467 at 80000 iter. 2023-01-30 02:54:34,686 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 02:54:34,687 - mmseg - INFO - Iter(val) [250] aAcc: 0.8490, mIoU: 0.5467, mAcc: 0.6712, IoU.wall: 0.7973, IoU.building: 0.8424, IoU.sky: 0.9487, IoU.floor: 0.8327, IoU.tree: 0.7597, IoU.ceiling: 0.8533, IoU.road: 0.8504, IoU.bed : 0.9170, IoU.windowpane: 0.6362, IoU.grass: 0.6949, IoU.cabinet: 0.6306, IoU.sidewalk: 0.6855, IoU.person: 0.8447, IoU.earth: 0.4096, IoU.door: 0.5413, IoU.table: 0.6866, IoU.mountain: 0.5430, IoU.plant: 0.5323, IoU.curtain: 0.7598, IoU.chair: 0.6161, IoU.car: 0.8608, IoU.water: 0.6510, IoU.painting: 0.7644, IoU.sofa: 0.7112, IoU.shelf: 0.4608, IoU.house: 0.5283, IoU.sea: 0.7149, IoU.mirror: 0.7244, IoU.rug: 0.6539, IoU.field: 0.2930, IoU.armchair: 0.4877, IoU.seat: 0.6597, IoU.fence: 0.5079, IoU.desk: 0.5672, IoU.rock: 0.4825, IoU.wardrobe: 0.5552, IoU.lamp: 0.6781, IoU.bathtub: 0.8309, IoU.railing: 0.3850, IoU.cushion: 0.6425, IoU.base: 0.4113, IoU.box: 0.3182, IoU.column: 0.4756, IoU.signboard: 0.3999, IoU.chest of drawers: 0.3819, IoU.counter: 0.4239, IoU.sand: 0.5403, IoU.sink: 0.7613, IoU.skyscraper: 0.4728, IoU.fireplace: 0.7402, IoU.refrigerator: 0.8560, IoU.grandstand: 0.5625, IoU.path: 0.2602, IoU.stairs: 0.2917, IoU.runway: 0.7459, IoU.case: 0.6337, IoU.pool table: 0.9386, IoU.pillow: 0.6008, IoU.screen door: 0.7544, IoU.stairway: 0.4078, IoU.river: 0.1114, IoU.bridge: 0.7886, IoU.bookcase: 0.4251, IoU.blind: 0.4451, IoU.coffee table: 0.6578, IoU.toilet: 0.8824, IoU.flower: 0.4004, IoU.book: 0.5023, IoU.hill: 0.0680, IoU.bench: 0.5231, IoU.countertop: 0.5933, IoU.stove: 0.8093, IoU.palm: 0.5558, IoU.kitchen island: 0.4839, IoU.computer: 0.7790, IoU.swivel chair: 0.4669, IoU.boat: 0.7807, IoU.bar: 0.5524, IoU.arcade machine: 0.8181, IoU.hovel: 0.4916, IoU.bus: 0.9117, IoU.towel: 0.6447, IoU.light: 0.5626, IoU.truck: 0.4068, IoU.tower: 0.1925, IoU.chandelier: 0.6769, IoU.awning: 0.3409, IoU.streetlight: 0.3298, IoU.booth: 0.5557, IoU.television receiver: 0.7235, IoU.airplane: 0.6137, IoU.dirt track: 0.0459, IoU.apparel: 0.5092, IoU.pole: 0.2529, IoU.land: 0.0446, IoU.bannister: 0.1335, IoU.escalator: 0.4932, IoU.ottoman: 0.5340, IoU.bottle: 0.4032, IoU.buffet: 0.5868, IoU.poster: 0.3228, IoU.stage: 0.1657, IoU.van: 0.4923, IoU.ship: 0.1149, IoU.fountain: 0.2704, IoU.conveyer belt: 0.8275, IoU.canopy: 0.5029, IoU.washer: 0.8541, IoU.plaything: 0.4656, IoU.swimming pool: 0.6460, IoU.stool: 0.4118, IoU.barrel: 0.5458, IoU.basket: 0.4241, IoU.waterfall: 0.5047, IoU.tent: 0.9180, IoU.bag: 0.1793, IoU.minibike: 0.7215, IoU.cradle: 0.8268, IoU.oven: 0.5696, IoU.ball: 0.5656, IoU.food: 0.5902, IoU.step: 0.1117, IoU.tank: 0.6341, IoU.trade name: 0.2549, IoU.microwave: 0.8551, IoU.pot: 0.4562, IoU.animal: 0.5777, IoU.bicycle: 0.5536, IoU.lake: 0.6123, IoU.dishwasher: 0.7061, IoU.screen: 0.4821, IoU.blanket: 0.3056, IoU.sculpture: 0.7566, IoU.hood: 0.6183, IoU.sconce: 0.4727, IoU.vase: 0.4470, IoU.traffic light: 0.3720, IoU.tray: 0.0968, IoU.ashcan: 0.4554, IoU.fan: 0.6687, IoU.pier: 0.3037, IoU.crt screen: 0.2231, IoU.plate: 0.5880, IoU.monitor: 0.5594, IoU.bulletin board: 0.5167, IoU.shower: 0.0208, IoU.radiator: 0.7163, IoU.glass: 0.1478, IoU.clock: 0.4616, IoU.flag: 0.4917, Acc.wall: 0.8988, Acc.building: 0.9222, Acc.sky: 0.9751, Acc.floor: 0.9049, Acc.tree: 0.8933, Acc.ceiling: 0.9324, Acc.road: 0.8904, Acc.bed : 0.9589, Acc.windowpane: 0.7693, Acc.grass: 0.8467, Acc.cabinet: 0.7438, Acc.sidewalk: 0.8586, Acc.person: 0.9260, Acc.earth: 0.5532, Acc.door: 0.6722, Acc.table: 0.8019, Acc.mountain: 0.6529, Acc.plant: 0.6162, Acc.curtain: 0.8460, Acc.chair: 0.7513, Acc.car: 0.9394, Acc.water: 0.8169, Acc.painting: 0.8894, Acc.sofa: 0.8369, Acc.shelf: 0.6257, Acc.house: 0.7403, Acc.sea: 0.8297, Acc.mirror: 0.8074, Acc.rug: 0.8225, Acc.field: 0.5037, Acc.armchair: 0.7054, Acc.seat: 0.8524, Acc.fence: 0.6500, Acc.desk: 0.7460, Acc.rock: 0.7444, Acc.wardrobe: 0.7307, Acc.lamp: 0.7874, Acc.bathtub: 0.8539, Acc.railing: 0.5419, Acc.cushion: 0.8033, Acc.base: 0.5305, Acc.box: 0.4099, Acc.column: 0.6146, Acc.signboard: 0.5557, Acc.chest of drawers: 0.5902, Acc.counter: 0.4792, Acc.sand: 0.8138, Acc.sink: 0.8212, Acc.skyscraper: 0.5646, Acc.fireplace: 0.9341, Acc.refrigerator: 0.9370, Acc.grandstand: 0.7788, Acc.path: 0.4041, Acc.stairs: 0.3983, Acc.runway: 0.9772, Acc.case: 0.7900, Acc.pool table: 0.9794, Acc.pillow: 0.6916, Acc.screen door: 0.8972, Acc.stairway: 0.6495, Acc.river: 0.2229, Acc.bridge: 0.8937, Acc.bookcase: 0.6509, Acc.blind: 0.4981, Acc.coffee table: 0.8914, Acc.toilet: 0.9288, Acc.flower: 0.5324, Acc.book: 0.7084, Acc.hill: 0.1018, Acc.bench: 0.6285, Acc.countertop: 0.7902, Acc.stove: 0.9107, Acc.palm: 0.7868, Acc.kitchen island: 0.8213, Acc.computer: 0.9031, Acc.swivel chair: 0.6983, Acc.boat: 0.9109, Acc.bar: 0.8163, Acc.arcade machine: 0.8567, Acc.hovel: 0.6652, Acc.bus: 0.9596, Acc.towel: 0.8592, Acc.light: 0.6413, Acc.truck: 0.5067, Acc.tower: 0.3727, Acc.chandelier: 0.7940, Acc.awning: 0.4453, Acc.streetlight: 0.4171, Acc.booth: 0.7232, Acc.television receiver: 0.8439, Acc.airplane: 0.7031, Acc.dirt track: 0.2358, Acc.apparel: 0.5760, Acc.pole: 0.3672, Acc.land: 0.0621, Acc.bannister: 0.1737, Acc.escalator: 0.6477, Acc.ottoman: 0.6832, Acc.bottle: 0.6246, Acc.buffet: 0.7632, Acc.poster: 0.4197, Acc.stage: 0.3628, Acc.van: 0.6206, Acc.ship: 0.1160, Acc.fountain: 0.2776, Acc.conveyer belt: 0.9533, Acc.canopy: 0.7373, Acc.washer: 0.8946, Acc.plaything: 0.6232, Acc.swimming pool: 0.8824, Acc.stool: 0.5763, Acc.barrel: 0.6467, Acc.basket: 0.5448, Acc.waterfall: 0.6320, Acc.tent: 0.9845, Acc.bag: 0.2100, Acc.minibike: 0.8744, Acc.cradle: 0.9795, Acc.oven: 0.7045, Acc.ball: 0.6886, Acc.food: 0.7464, Acc.step: 0.1488, Acc.tank: 0.6552, Acc.trade name: 0.2793, Acc.microwave: 0.9430, Acc.pot: 0.5227, Acc.animal: 0.5927, Acc.bicycle: 0.7562, Acc.lake: 0.6377, Acc.dishwasher: 0.7742, Acc.screen: 0.6794, Acc.blanket: 0.3842, Acc.sculpture: 0.8373, Acc.hood: 0.7042, Acc.sconce: 0.5320, Acc.vase: 0.5796, Acc.traffic light: 0.5886, Acc.tray: 0.1192, Acc.ashcan: 0.6134, Acc.fan: 0.8173, Acc.pier: 0.4328, Acc.crt screen: 0.4142, Acc.plate: 0.7300, Acc.monitor: 0.6548, Acc.bulletin board: 0.6728, Acc.shower: 0.0460, Acc.radiator: 0.8086, Acc.glass: 0.1541, Acc.clock: 0.5316, Acc.flag: 0.5261 2023-01-30 02:54:54,735 - mmseg - INFO - Iter [80050/160000] lr: 2.998e-05, eta: 9:14:48, time: 1.212, data_time: 0.816, memory: 12319, decode.loss_ce: 0.2069, decode.acc_seg: 74.4686, aux.loss_ce: 0.0918, aux.acc_seg: 73.8631, loss: 0.2987 2023-01-30 02:55:14,631 - mmseg - INFO - Iter [80100/160000] lr: 2.996e-05, eta: 9:14:26, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2003, decode.acc_seg: 74.3582, aux.loss_ce: 0.0896, aux.acc_seg: 73.8246, loss: 0.2899 2023-01-30 02:55:34,447 - mmseg - INFO - Iter [80150/160000] lr: 2.994e-05, eta: 9:14:04, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1915, decode.acc_seg: 73.6121, aux.loss_ce: 0.0857, aux.acc_seg: 73.0045, loss: 0.2772 2023-01-30 02:55:54,327 - mmseg - INFO - Iter [80200/160000] lr: 2.993e-05, eta: 9:13:42, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2064, decode.acc_seg: 73.7233, aux.loss_ce: 0.0917, aux.acc_seg: 73.0345, loss: 0.2981 2023-01-30 02:56:14,251 - mmseg - INFO - Iter [80250/160000] lr: 2.991e-05, eta: 9:13:21, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2083, decode.acc_seg: 73.2535, aux.loss_ce: 0.0930, aux.acc_seg: 72.5696, loss: 0.3013 2023-01-30 02:56:34,169 - mmseg - INFO - Iter [80300/160000] lr: 2.989e-05, eta: 9:12:59, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2056, decode.acc_seg: 75.0585, aux.loss_ce: 0.0912, aux.acc_seg: 74.4948, loss: 0.2969 2023-01-30 02:56:54,240 - mmseg - INFO - Iter [80350/160000] lr: 2.987e-05, eta: 9:12:37, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2231, decode.acc_seg: 74.9575, aux.loss_ce: 0.0982, aux.acc_seg: 74.3819, loss: 0.3213 2023-01-30 02:57:14,143 - mmseg - INFO - Iter [80400/160000] lr: 2.985e-05, eta: 9:12:16, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2115, decode.acc_seg: 73.0982, aux.loss_ce: 0.0930, aux.acc_seg: 72.6402, loss: 0.3045 2023-01-30 02:57:33,927 - mmseg - INFO - Iter [80450/160000] lr: 2.983e-05, eta: 9:11:54, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2161, decode.acc_seg: 74.0740, aux.loss_ce: 0.0949, aux.acc_seg: 73.5787, loss: 0.3110 2023-01-30 02:57:53,820 - mmseg - INFO - Iter [80500/160000] lr: 2.981e-05, eta: 9:11:32, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2065, decode.acc_seg: 74.1691, aux.loss_ce: 0.0901, aux.acc_seg: 73.7055, loss: 0.2965 2023-01-30 02:58:13,652 - mmseg - INFO - Iter [80550/160000] lr: 2.979e-05, eta: 9:11:10, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2175, decode.acc_seg: 73.9109, aux.loss_ce: 0.0975, aux.acc_seg: 73.2880, loss: 0.3149 2023-01-30 02:58:33,427 - mmseg - INFO - Iter [80600/160000] lr: 2.978e-05, eta: 9:10:49, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1918, decode.acc_seg: 73.2168, aux.loss_ce: 0.0848, aux.acc_seg: 72.7124, loss: 0.2767 2023-01-30 02:58:52,877 - mmseg - INFO - Iter [80650/160000] lr: 2.976e-05, eta: 9:10:26, time: 0.387, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2032, decode.acc_seg: 73.4362, aux.loss_ce: 0.0903, aux.acc_seg: 72.9102, loss: 0.2935 2023-01-30 02:59:12,429 - mmseg - INFO - Iter [80700/160000] lr: 2.974e-05, eta: 9:10:04, time: 0.391, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2110, decode.acc_seg: 74.6648, aux.loss_ce: 0.0928, aux.acc_seg: 74.1445, loss: 0.3038 2023-01-30 02:59:32,160 - mmseg - INFO - Iter [80750/160000] lr: 2.972e-05, eta: 9:09:42, time: 0.396, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1969, decode.acc_seg: 73.5759, aux.loss_ce: 0.0875, aux.acc_seg: 73.0862, loss: 0.2844 2023-01-30 02:59:52,041 - mmseg - INFO - Iter [80800/160000] lr: 2.970e-05, eta: 9:09:21, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2004, decode.acc_seg: 74.3659, aux.loss_ce: 0.0896, aux.acc_seg: 73.7070, loss: 0.2900 2023-01-30 03:00:14,088 - mmseg - INFO - Iter [80850/160000] lr: 2.968e-05, eta: 9:09:01, time: 0.441, data_time: 0.048, memory: 12319, decode.loss_ce: 0.2037, decode.acc_seg: 74.9945, aux.loss_ce: 0.0902, aux.acc_seg: 74.4386, loss: 0.2939 2023-01-30 03:00:33,876 - mmseg - INFO - Iter [80900/160000] lr: 2.966e-05, eta: 9:08:39, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2031, decode.acc_seg: 73.8250, aux.loss_ce: 0.0896, aux.acc_seg: 73.3688, loss: 0.2927 2023-01-30 03:00:53,503 - mmseg - INFO - Iter [80950/160000] lr: 2.964e-05, eta: 9:08:17, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2013, decode.acc_seg: 74.0020, aux.loss_ce: 0.0898, aux.acc_seg: 73.5165, loss: 0.2911 2023-01-30 03:01:13,189 - mmseg - INFO - Saving checkpoint at 81000 iterations 2023-01-30 03:01:23,703 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 03:01:23,707 - mmseg - INFO - Iter [81000/160000] lr: 2.963e-05, eta: 9:08:06, time: 0.602, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2030, decode.acc_seg: 74.8707, aux.loss_ce: 0.0909, aux.acc_seg: 74.2610, loss: 0.2939 2023-01-30 03:01:44,018 - mmseg - INFO - Iter [81050/160000] lr: 2.961e-05, eta: 9:07:44, time: 0.408, data_time: 0.009, memory: 12319, decode.loss_ce: 0.2034, decode.acc_seg: 74.0465, aux.loss_ce: 0.0908, aux.acc_seg: 73.4711, loss: 0.2941 2023-01-30 03:02:03,541 - mmseg - INFO - Iter [81100/160000] lr: 2.959e-05, eta: 9:07:22, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2017, decode.acc_seg: 74.3515, aux.loss_ce: 0.0902, aux.acc_seg: 73.6218, loss: 0.2919 2023-01-30 03:02:23,178 - mmseg - INFO - Iter [81150/160000] lr: 2.957e-05, eta: 9:07:00, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2037, decode.acc_seg: 74.0895, aux.loss_ce: 0.0908, aux.acc_seg: 73.4813, loss: 0.2944 2023-01-30 03:02:43,090 - mmseg - INFO - Iter [81200/160000] lr: 2.955e-05, eta: 9:06:39, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1899, decode.acc_seg: 74.5480, aux.loss_ce: 0.0855, aux.acc_seg: 73.9677, loss: 0.2754 2023-01-30 03:03:03,145 - mmseg - INFO - Iter [81250/160000] lr: 2.953e-05, eta: 9:06:17, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1967, decode.acc_seg: 72.3922, aux.loss_ce: 0.0885, aux.acc_seg: 71.7011, loss: 0.2852 2023-01-30 03:03:23,172 - mmseg - INFO - Iter [81300/160000] lr: 2.951e-05, eta: 9:05:56, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2038, decode.acc_seg: 73.8478, aux.loss_ce: 0.0909, aux.acc_seg: 73.2366, loss: 0.2947 2023-01-30 03:03:42,720 - mmseg - INFO - Iter [81350/160000] lr: 2.949e-05, eta: 9:05:34, time: 0.391, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1909, decode.acc_seg: 74.0514, aux.loss_ce: 0.0855, aux.acc_seg: 73.4324, loss: 0.2764 2023-01-30 03:04:02,258 - mmseg - INFO - Iter [81400/160000] lr: 2.948e-05, eta: 9:05:11, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2128, decode.acc_seg: 73.8048, aux.loss_ce: 0.0944, aux.acc_seg: 73.1986, loss: 0.3072 2023-01-30 03:04:22,254 - mmseg - INFO - Iter [81450/160000] lr: 2.946e-05, eta: 9:04:50, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2081, decode.acc_seg: 74.3870, aux.loss_ce: 0.0910, aux.acc_seg: 73.8642, loss: 0.2990 2023-01-30 03:04:41,964 - mmseg - INFO - Iter [81500/160000] lr: 2.944e-05, eta: 9:04:28, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2093, decode.acc_seg: 75.4782, aux.loss_ce: 0.0927, aux.acc_seg: 74.8860, loss: 0.3020 2023-01-30 03:05:01,941 - mmseg - INFO - Iter [81550/160000] lr: 2.942e-05, eta: 9:04:06, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2054, decode.acc_seg: 74.9983, aux.loss_ce: 0.0916, aux.acc_seg: 74.3173, loss: 0.2970 2023-01-30 03:05:21,726 - mmseg - INFO - Iter [81600/160000] lr: 2.940e-05, eta: 9:03:45, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2049, decode.acc_seg: 73.8543, aux.loss_ce: 0.0909, aux.acc_seg: 73.3543, loss: 0.2958 2023-01-30 03:05:41,524 - mmseg - INFO - Iter [81650/160000] lr: 2.938e-05, eta: 9:03:23, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2220, decode.acc_seg: 74.1509, aux.loss_ce: 0.0978, aux.acc_seg: 73.6522, loss: 0.3198 2023-01-30 03:06:01,296 - mmseg - INFO - Iter [81700/160000] lr: 2.936e-05, eta: 9:03:01, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2068, decode.acc_seg: 74.0293, aux.loss_ce: 0.0920, aux.acc_seg: 73.3989, loss: 0.2988 2023-01-30 03:06:20,714 - mmseg - INFO - Iter [81750/160000] lr: 2.934e-05, eta: 9:02:39, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2268, decode.acc_seg: 73.9643, aux.loss_ce: 0.1025, aux.acc_seg: 73.2365, loss: 0.3293 2023-01-30 03:06:40,463 - mmseg - INFO - Iter [81800/160000] lr: 2.933e-05, eta: 9:02:17, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1999, decode.acc_seg: 73.6916, aux.loss_ce: 0.0882, aux.acc_seg: 73.1573, loss: 0.2881 2023-01-30 03:07:00,109 - mmseg - INFO - Iter [81850/160000] lr: 2.931e-05, eta: 9:01:55, time: 0.393, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1926, decode.acc_seg: 72.8956, aux.loss_ce: 0.0861, aux.acc_seg: 72.3196, loss: 0.2786 2023-01-30 03:07:19,673 - mmseg - INFO - Iter [81900/160000] lr: 2.929e-05, eta: 9:01:33, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2035, decode.acc_seg: 74.1494, aux.loss_ce: 0.0919, aux.acc_seg: 73.4669, loss: 0.2954 2023-01-30 03:07:39,262 - mmseg - INFO - Iter [81950/160000] lr: 2.927e-05, eta: 9:01:11, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1954, decode.acc_seg: 73.9961, aux.loss_ce: 0.0869, aux.acc_seg: 73.3562, loss: 0.2823 2023-01-30 03:07:58,902 - mmseg - INFO - Saving checkpoint at 82000 iterations 2023-01-30 03:08:09,682 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 03:08:09,684 - mmseg - INFO - Iter [82000/160000] lr: 2.925e-05, eta: 9:01:00, time: 0.608, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2058, decode.acc_seg: 72.8962, aux.loss_ce: 0.0904, aux.acc_seg: 72.3334, loss: 0.2962 2023-01-30 03:08:29,431 - mmseg - INFO - Iter [82050/160000] lr: 2.923e-05, eta: 9:00:38, time: 0.395, data_time: 0.008, memory: 12319, decode.loss_ce: 0.2070, decode.acc_seg: 73.7010, aux.loss_ce: 0.0924, aux.acc_seg: 73.1051, loss: 0.2994 2023-01-30 03:08:51,384 - mmseg - INFO - Iter [82100/160000] lr: 2.921e-05, eta: 9:00:18, time: 0.439, data_time: 0.051, memory: 12319, decode.loss_ce: 0.1994, decode.acc_seg: 74.4131, aux.loss_ce: 0.0894, aux.acc_seg: 73.8073, loss: 0.2888 2023-01-30 03:09:11,137 - mmseg - INFO - Iter [82150/160000] lr: 2.919e-05, eta: 8:59:56, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1997, decode.acc_seg: 73.5146, aux.loss_ce: 0.0894, aux.acc_seg: 72.9206, loss: 0.2891 2023-01-30 03:09:30,959 - mmseg - INFO - Iter [82200/160000] lr: 2.918e-05, eta: 8:59:35, time: 0.398, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2079, decode.acc_seg: 73.2899, aux.loss_ce: 0.0932, aux.acc_seg: 72.7724, loss: 0.3011 2023-01-30 03:09:50,806 - mmseg - INFO - Iter [82250/160000] lr: 2.916e-05, eta: 8:59:13, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1852, decode.acc_seg: 74.0328, aux.loss_ce: 0.0828, aux.acc_seg: 73.4439, loss: 0.2680 2023-01-30 03:10:10,663 - mmseg - INFO - Iter [82300/160000] lr: 2.914e-05, eta: 8:58:51, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2008, decode.acc_seg: 74.2853, aux.loss_ce: 0.0896, aux.acc_seg: 73.6893, loss: 0.2904 2023-01-30 03:10:30,421 - mmseg - INFO - Iter [82350/160000] lr: 2.912e-05, eta: 8:58:29, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1995, decode.acc_seg: 74.1160, aux.loss_ce: 0.0894, aux.acc_seg: 73.6536, loss: 0.2889 2023-01-30 03:10:49,951 - mmseg - INFO - Iter [82400/160000] lr: 2.910e-05, eta: 8:58:07, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1854, decode.acc_seg: 74.6141, aux.loss_ce: 0.0834, aux.acc_seg: 74.0472, loss: 0.2688 2023-01-30 03:11:09,598 - mmseg - INFO - Iter [82450/160000] lr: 2.908e-05, eta: 8:57:45, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2003, decode.acc_seg: 73.8822, aux.loss_ce: 0.0890, aux.acc_seg: 73.3519, loss: 0.2893 2023-01-30 03:11:29,451 - mmseg - INFO - Iter [82500/160000] lr: 2.906e-05, eta: 8:57:24, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2005, decode.acc_seg: 74.0259, aux.loss_ce: 0.0885, aux.acc_seg: 73.5401, loss: 0.2890 2023-01-30 03:11:49,362 - mmseg - INFO - Iter [82550/160000] lr: 2.904e-05, eta: 8:57:02, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1865, decode.acc_seg: 72.6475, aux.loss_ce: 0.0830, aux.acc_seg: 72.0094, loss: 0.2695 2023-01-30 03:12:09,235 - mmseg - INFO - Iter [82600/160000] lr: 2.903e-05, eta: 8:56:40, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2073, decode.acc_seg: 73.4867, aux.loss_ce: 0.0927, aux.acc_seg: 72.7905, loss: 0.3001 2023-01-30 03:12:28,925 - mmseg - INFO - Iter [82650/160000] lr: 2.901e-05, eta: 8:56:18, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2051, decode.acc_seg: 73.2701, aux.loss_ce: 0.0903, aux.acc_seg: 72.7517, loss: 0.2954 2023-01-30 03:12:48,622 - mmseg - INFO - Iter [82700/160000] lr: 2.899e-05, eta: 8:55:57, time: 0.394, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2012, decode.acc_seg: 74.0574, aux.loss_ce: 0.0892, aux.acc_seg: 73.4793, loss: 0.2904 2023-01-30 03:13:08,654 - mmseg - INFO - Iter [82750/160000] lr: 2.897e-05, eta: 8:55:35, time: 0.401, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1940, decode.acc_seg: 75.2189, aux.loss_ce: 0.0873, aux.acc_seg: 74.5844, loss: 0.2813 2023-01-30 03:13:28,576 - mmseg - INFO - Iter [82800/160000] lr: 2.895e-05, eta: 8:55:14, time: 0.400, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1991, decode.acc_seg: 74.5832, aux.loss_ce: 0.0887, aux.acc_seg: 74.0812, loss: 0.2879 2023-01-30 03:13:48,393 - mmseg - INFO - Iter [82850/160000] lr: 2.893e-05, eta: 8:54:52, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1994, decode.acc_seg: 75.3407, aux.loss_ce: 0.0890, aux.acc_seg: 74.6816, loss: 0.2884 2023-01-30 03:14:08,151 - mmseg - INFO - Iter [82900/160000] lr: 2.891e-05, eta: 8:54:30, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2220, decode.acc_seg: 73.0868, aux.loss_ce: 0.0993, aux.acc_seg: 72.3437, loss: 0.3213 2023-01-30 03:14:27,837 - mmseg - INFO - Iter [82950/160000] lr: 2.889e-05, eta: 8:54:08, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1964, decode.acc_seg: 73.4856, aux.loss_ce: 0.0878, aux.acc_seg: 72.8788, loss: 0.2842 2023-01-30 03:14:47,770 - mmseg - INFO - Saving checkpoint at 83000 iterations 2023-01-30 03:14:58,245 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 03:14:58,245 - mmseg - INFO - Iter [83000/160000] lr: 2.888e-05, eta: 8:53:56, time: 0.608, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1982, decode.acc_seg: 73.7373, aux.loss_ce: 0.0883, aux.acc_seg: 73.1716, loss: 0.2865 2023-01-30 03:15:17,906 - mmseg - INFO - Iter [83050/160000] lr: 2.886e-05, eta: 8:53:35, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2006, decode.acc_seg: 73.9959, aux.loss_ce: 0.0896, aux.acc_seg: 73.4031, loss: 0.2902 2023-01-30 03:15:37,768 - mmseg - INFO - Iter [83100/160000] lr: 2.884e-05, eta: 8:53:13, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2050, decode.acc_seg: 74.6969, aux.loss_ce: 0.0912, aux.acc_seg: 74.1337, loss: 0.2962 2023-01-30 03:15:57,699 - mmseg - INFO - Iter [83150/160000] lr: 2.882e-05, eta: 8:52:51, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2043, decode.acc_seg: 73.5633, aux.loss_ce: 0.0900, aux.acc_seg: 73.0479, loss: 0.2943 2023-01-30 03:16:17,707 - mmseg - INFO - Iter [83200/160000] lr: 2.880e-05, eta: 8:52:30, time: 0.400, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1969, decode.acc_seg: 72.8646, aux.loss_ce: 0.0876, aux.acc_seg: 72.3045, loss: 0.2845 2023-01-30 03:16:37,303 - mmseg - INFO - Iter [83250/160000] lr: 2.878e-05, eta: 8:52:08, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2058, decode.acc_seg: 75.0940, aux.loss_ce: 0.0918, aux.acc_seg: 74.4218, loss: 0.2975 2023-01-30 03:16:57,163 - mmseg - INFO - Iter [83300/160000] lr: 2.876e-05, eta: 8:51:46, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2320, decode.acc_seg: 72.7211, aux.loss_ce: 0.1021, aux.acc_seg: 72.2083, loss: 0.3341 2023-01-30 03:17:17,298 - mmseg - INFO - Iter [83350/160000] lr: 2.874e-05, eta: 8:51:25, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2157, decode.acc_seg: 73.9279, aux.loss_ce: 0.0963, aux.acc_seg: 73.3192, loss: 0.3120 2023-01-30 03:17:39,949 - mmseg - INFO - Iter [83400/160000] lr: 2.873e-05, eta: 8:51:06, time: 0.453, data_time: 0.051, memory: 12319, decode.loss_ce: 0.2084, decode.acc_seg: 73.0187, aux.loss_ce: 0.0935, aux.acc_seg: 72.3209, loss: 0.3019 2023-01-30 03:17:59,640 - mmseg - INFO - Iter [83450/160000] lr: 2.871e-05, eta: 8:50:44, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2016, decode.acc_seg: 74.5498, aux.loss_ce: 0.0898, aux.acc_seg: 73.9702, loss: 0.2914 2023-01-30 03:18:19,378 - mmseg - INFO - Iter [83500/160000] lr: 2.869e-05, eta: 8:50:22, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1920, decode.acc_seg: 74.2071, aux.loss_ce: 0.0863, aux.acc_seg: 73.6082, loss: 0.2783 2023-01-30 03:18:39,440 - mmseg - INFO - Iter [83550/160000] lr: 2.867e-05, eta: 8:50:01, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1937, decode.acc_seg: 74.5448, aux.loss_ce: 0.0860, aux.acc_seg: 73.9930, loss: 0.2797 2023-01-30 03:18:58,982 - mmseg - INFO - Iter [83600/160000] lr: 2.865e-05, eta: 8:49:39, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2132, decode.acc_seg: 74.2462, aux.loss_ce: 0.0961, aux.acc_seg: 73.5016, loss: 0.3092 2023-01-30 03:19:18,524 - mmseg - INFO - Iter [83650/160000] lr: 2.863e-05, eta: 8:49:17, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2003, decode.acc_seg: 73.7643, aux.loss_ce: 0.0890, aux.acc_seg: 73.1178, loss: 0.2893 2023-01-30 03:19:38,282 - mmseg - INFO - Iter [83700/160000] lr: 2.861e-05, eta: 8:48:55, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1948, decode.acc_seg: 74.3967, aux.loss_ce: 0.0859, aux.acc_seg: 73.8856, loss: 0.2807 2023-01-30 03:19:58,445 - mmseg - INFO - Iter [83750/160000] lr: 2.859e-05, eta: 8:48:33, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2196, decode.acc_seg: 73.7027, aux.loss_ce: 0.0977, aux.acc_seg: 73.0624, loss: 0.3174 2023-01-30 03:20:18,325 - mmseg - INFO - Iter [83800/160000] lr: 2.858e-05, eta: 8:48:12, time: 0.398, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2011, decode.acc_seg: 74.0762, aux.loss_ce: 0.0903, aux.acc_seg: 73.3239, loss: 0.2914 2023-01-30 03:20:38,330 - mmseg - INFO - Iter [83850/160000] lr: 2.856e-05, eta: 8:47:50, time: 0.402, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1981, decode.acc_seg: 75.1212, aux.loss_ce: 0.0882, aux.acc_seg: 74.4729, loss: 0.2863 2023-01-30 03:20:58,436 - mmseg - INFO - Iter [83900/160000] lr: 2.854e-05, eta: 8:47:29, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1973, decode.acc_seg: 73.8592, aux.loss_ce: 0.0876, aux.acc_seg: 73.3087, loss: 0.2849 2023-01-30 03:21:18,169 - mmseg - INFO - Iter [83950/160000] lr: 2.852e-05, eta: 8:47:07, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2004, decode.acc_seg: 75.0046, aux.loss_ce: 0.0900, aux.acc_seg: 74.3963, loss: 0.2904 2023-01-30 03:21:37,974 - mmseg - INFO - Saving checkpoint at 84000 iterations 2023-01-30 03:21:48,061 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 03:21:48,061 - mmseg - INFO - Iter [84000/160000] lr: 2.850e-05, eta: 8:46:55, time: 0.598, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2137, decode.acc_seg: 74.5900, aux.loss_ce: 0.0959, aux.acc_seg: 73.8920, loss: 0.3097 2023-01-30 03:22:07,756 - mmseg - INFO - Iter [84050/160000] lr: 2.848e-05, eta: 8:46:33, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2030, decode.acc_seg: 72.5944, aux.loss_ce: 0.0898, aux.acc_seg: 72.0546, loss: 0.2928 2023-01-30 03:22:27,646 - mmseg - INFO - Iter [84100/160000] lr: 2.846e-05, eta: 8:46:11, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2070, decode.acc_seg: 74.0204, aux.loss_ce: 0.0913, aux.acc_seg: 73.5645, loss: 0.2983 2023-01-30 03:22:47,098 - mmseg - INFO - Iter [84150/160000] lr: 2.844e-05, eta: 8:45:49, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1935, decode.acc_seg: 75.2817, aux.loss_ce: 0.0864, aux.acc_seg: 74.7055, loss: 0.2800 2023-01-30 03:23:06,824 - mmseg - INFO - Iter [84200/160000] lr: 2.843e-05, eta: 8:45:27, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2240, decode.acc_seg: 74.1227, aux.loss_ce: 0.0994, aux.acc_seg: 73.4874, loss: 0.3234 2023-01-30 03:23:26,212 - mmseg - INFO - Iter [84250/160000] lr: 2.841e-05, eta: 8:45:05, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2008, decode.acc_seg: 73.1774, aux.loss_ce: 0.0895, aux.acc_seg: 72.5728, loss: 0.2902 2023-01-30 03:23:45,606 - mmseg - INFO - Iter [84300/160000] lr: 2.839e-05, eta: 8:44:43, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1980, decode.acc_seg: 74.3421, aux.loss_ce: 0.0878, aux.acc_seg: 73.8728, loss: 0.2858 2023-01-30 03:24:05,350 - mmseg - INFO - Iter [84350/160000] lr: 2.837e-05, eta: 8:44:22, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2058, decode.acc_seg: 75.0666, aux.loss_ce: 0.0941, aux.acc_seg: 74.2993, loss: 0.2999 2023-01-30 03:24:25,049 - mmseg - INFO - Iter [84400/160000] lr: 2.835e-05, eta: 8:44:00, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2135, decode.acc_seg: 73.8535, aux.loss_ce: 0.0941, aux.acc_seg: 73.2455, loss: 0.3076 2023-01-30 03:24:44,710 - mmseg - INFO - Iter [84450/160000] lr: 2.833e-05, eta: 8:43:38, time: 0.394, data_time: 0.007, memory: 12319, decode.loss_ce: 0.1920, decode.acc_seg: 74.4605, aux.loss_ce: 0.0854, aux.acc_seg: 73.8765, loss: 0.2774 2023-01-30 03:25:04,504 - mmseg - INFO - Iter [84500/160000] lr: 2.831e-05, eta: 8:43:16, time: 0.395, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1878, decode.acc_seg: 74.3666, aux.loss_ce: 0.0831, aux.acc_seg: 73.8657, loss: 0.2709 2023-01-30 03:25:24,188 - mmseg - INFO - Iter [84550/160000] lr: 2.829e-05, eta: 8:42:54, time: 0.394, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2179, decode.acc_seg: 73.0340, aux.loss_ce: 0.0960, aux.acc_seg: 72.4979, loss: 0.3140 2023-01-30 03:25:43,981 - mmseg - INFO - Iter [84600/160000] lr: 2.828e-05, eta: 8:42:33, time: 0.396, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1904, decode.acc_seg: 74.2849, aux.loss_ce: 0.0845, aux.acc_seg: 73.7686, loss: 0.2750 2023-01-30 03:26:06,188 - mmseg - INFO - Iter [84650/160000] lr: 2.826e-05, eta: 8:42:13, time: 0.446, data_time: 0.051, memory: 12319, decode.loss_ce: 0.1853, decode.acc_seg: 74.9984, aux.loss_ce: 0.0839, aux.acc_seg: 74.2742, loss: 0.2692 2023-01-30 03:26:25,886 - mmseg - INFO - Iter [84700/160000] lr: 2.824e-05, eta: 8:41:52, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1921, decode.acc_seg: 74.0093, aux.loss_ce: 0.0862, aux.acc_seg: 73.4043, loss: 0.2784 2023-01-30 03:26:45,707 - mmseg - INFO - Iter [84750/160000] lr: 2.822e-05, eta: 8:41:30, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2005, decode.acc_seg: 74.5755, aux.loss_ce: 0.0892, aux.acc_seg: 73.9842, loss: 0.2897 2023-01-30 03:27:05,424 - mmseg - INFO - Iter [84800/160000] lr: 2.820e-05, eta: 8:41:08, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1979, decode.acc_seg: 72.6611, aux.loss_ce: 0.0887, aux.acc_seg: 71.9602, loss: 0.2865 2023-01-30 03:27:25,676 - mmseg - INFO - Iter [84850/160000] lr: 2.818e-05, eta: 8:40:47, time: 0.405, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1785, decode.acc_seg: 73.9363, aux.loss_ce: 0.0798, aux.acc_seg: 73.3876, loss: 0.2582 2023-01-30 03:27:45,680 - mmseg - INFO - Iter [84900/160000] lr: 2.816e-05, eta: 8:40:25, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2038, decode.acc_seg: 74.6986, aux.loss_ce: 0.0901, aux.acc_seg: 74.1480, loss: 0.2939 2023-01-30 03:28:05,310 - mmseg - INFO - Iter [84950/160000] lr: 2.814e-05, eta: 8:40:04, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1957, decode.acc_seg: 75.1657, aux.loss_ce: 0.0890, aux.acc_seg: 74.4224, loss: 0.2847 2023-01-30 03:28:25,224 - mmseg - INFO - Saving checkpoint at 85000 iterations 2023-01-30 03:28:35,354 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 03:28:35,354 - mmseg - INFO - Iter [85000/160000] lr: 2.813e-05, eta: 8:39:51, time: 0.601, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1940, decode.acc_seg: 74.6467, aux.loss_ce: 0.0865, aux.acc_seg: 74.0235, loss: 0.2805 2023-01-30 03:28:55,371 - mmseg - INFO - Iter [85050/160000] lr: 2.811e-05, eta: 8:39:30, time: 0.400, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1891, decode.acc_seg: 74.0627, aux.loss_ce: 0.0851, aux.acc_seg: 73.4533, loss: 0.2742 2023-01-30 03:29:14,952 - mmseg - INFO - Iter [85100/160000] lr: 2.809e-05, eta: 8:39:08, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2000, decode.acc_seg: 74.4246, aux.loss_ce: 0.0889, aux.acc_seg: 73.8617, loss: 0.2889 2023-01-30 03:29:34,867 - mmseg - INFO - Iter [85150/160000] lr: 2.807e-05, eta: 8:38:46, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1929, decode.acc_seg: 73.6380, aux.loss_ce: 0.0875, aux.acc_seg: 73.0397, loss: 0.2804 2023-01-30 03:29:54,841 - mmseg - INFO - Iter [85200/160000] lr: 2.805e-05, eta: 8:38:25, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1958, decode.acc_seg: 73.2522, aux.loss_ce: 0.0878, aux.acc_seg: 72.6659, loss: 0.2837 2023-01-30 03:30:14,481 - mmseg - INFO - Iter [85250/160000] lr: 2.803e-05, eta: 8:38:03, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2027, decode.acc_seg: 74.4601, aux.loss_ce: 0.0899, aux.acc_seg: 73.8421, loss: 0.2926 2023-01-30 03:30:33,923 - mmseg - INFO - Iter [85300/160000] lr: 2.801e-05, eta: 8:37:41, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1821, decode.acc_seg: 74.7489, aux.loss_ce: 0.0815, aux.acc_seg: 74.1824, loss: 0.2636 2023-01-30 03:30:53,939 - mmseg - INFO - Iter [85350/160000] lr: 2.799e-05, eta: 8:37:19, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1836, decode.acc_seg: 74.3725, aux.loss_ce: 0.0824, aux.acc_seg: 73.7635, loss: 0.2660 2023-01-30 03:31:13,824 - mmseg - INFO - Iter [85400/160000] lr: 2.798e-05, eta: 8:36:58, time: 0.398, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2079, decode.acc_seg: 72.2868, aux.loss_ce: 0.0915, aux.acc_seg: 71.6730, loss: 0.2995 2023-01-30 03:31:33,647 - mmseg - INFO - Iter [85450/160000] lr: 2.796e-05, eta: 8:36:36, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1985, decode.acc_seg: 73.6728, aux.loss_ce: 0.0885, aux.acc_seg: 73.0519, loss: 0.2870 2023-01-30 03:31:53,320 - mmseg - INFO - Iter [85500/160000] lr: 2.794e-05, eta: 8:36:14, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2079, decode.acc_seg: 73.4076, aux.loss_ce: 0.0938, aux.acc_seg: 72.7216, loss: 0.3017 2023-01-30 03:32:13,208 - mmseg - INFO - Iter [85550/160000] lr: 2.792e-05, eta: 8:35:53, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1901, decode.acc_seg: 75.1506, aux.loss_ce: 0.0836, aux.acc_seg: 74.7104, loss: 0.2737 2023-01-30 03:32:32,864 - mmseg - INFO - Iter [85600/160000] lr: 2.790e-05, eta: 8:35:31, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1981, decode.acc_seg: 72.4786, aux.loss_ce: 0.0876, aux.acc_seg: 71.9637, loss: 0.2858 2023-01-30 03:32:52,524 - mmseg - INFO - Iter [85650/160000] lr: 2.788e-05, eta: 8:35:09, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2031, decode.acc_seg: 72.9813, aux.loss_ce: 0.0910, aux.acc_seg: 72.3774, loss: 0.2941 2023-01-30 03:33:12,486 - mmseg - INFO - Iter [85700/160000] lr: 2.786e-05, eta: 8:34:48, time: 0.399, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2082, decode.acc_seg: 72.5308, aux.loss_ce: 0.0935, aux.acc_seg: 71.8348, loss: 0.3017 2023-01-30 03:33:32,360 - mmseg - INFO - Iter [85750/160000] lr: 2.784e-05, eta: 8:34:26, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2013, decode.acc_seg: 74.2976, aux.loss_ce: 0.0901, aux.acc_seg: 73.6653, loss: 0.2914 2023-01-30 03:33:51,806 - mmseg - INFO - Iter [85800/160000] lr: 2.783e-05, eta: 8:34:04, time: 0.391, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2122, decode.acc_seg: 73.2281, aux.loss_ce: 0.0951, aux.acc_seg: 72.4685, loss: 0.3073 2023-01-30 03:34:11,549 - mmseg - INFO - Iter [85850/160000] lr: 2.781e-05, eta: 8:33:43, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2132, decode.acc_seg: 75.5761, aux.loss_ce: 0.0958, aux.acc_seg: 74.8520, loss: 0.3090 2023-01-30 03:34:34,293 - mmseg - INFO - Iter [85900/160000] lr: 2.779e-05, eta: 8:33:23, time: 0.454, data_time: 0.054, memory: 12319, decode.loss_ce: 0.2012, decode.acc_seg: 77.0119, aux.loss_ce: 0.0904, aux.acc_seg: 76.3523, loss: 0.2916 2023-01-30 03:34:54,234 - mmseg - INFO - Iter [85950/160000] lr: 2.777e-05, eta: 8:33:02, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2006, decode.acc_seg: 73.7744, aux.loss_ce: 0.0886, aux.acc_seg: 73.1778, loss: 0.2892 2023-01-30 03:35:13,961 - mmseg - INFO - Saving checkpoint at 86000 iterations 2023-01-30 03:35:24,681 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 03:35:24,681 - mmseg - INFO - Iter [86000/160000] lr: 2.775e-05, eta: 8:32:49, time: 0.609, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1919, decode.acc_seg: 73.8545, aux.loss_ce: 0.0855, aux.acc_seg: 73.3224, loss: 0.2774 2023-01-30 03:35:44,347 - mmseg - INFO - Iter [86050/160000] lr: 2.773e-05, eta: 8:32:28, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1949, decode.acc_seg: 74.7446, aux.loss_ce: 0.0875, aux.acc_seg: 74.1467, loss: 0.2825 2023-01-30 03:36:04,218 - mmseg - INFO - Iter [86100/160000] lr: 2.771e-05, eta: 8:32:06, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1972, decode.acc_seg: 73.4382, aux.loss_ce: 0.0872, aux.acc_seg: 72.9510, loss: 0.2844 2023-01-30 03:36:24,068 - mmseg - INFO - Iter [86150/160000] lr: 2.769e-05, eta: 8:31:45, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1911, decode.acc_seg: 73.8140, aux.loss_ce: 0.0859, aux.acc_seg: 73.1532, loss: 0.2769 2023-01-30 03:36:43,723 - mmseg - INFO - Iter [86200/160000] lr: 2.768e-05, eta: 8:31:23, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2020, decode.acc_seg: 74.2047, aux.loss_ce: 0.0905, aux.acc_seg: 73.6500, loss: 0.2925 2023-01-30 03:37:03,599 - mmseg - INFO - Iter [86250/160000] lr: 2.766e-05, eta: 8:31:01, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2065, decode.acc_seg: 73.8884, aux.loss_ce: 0.0912, aux.acc_seg: 73.2442, loss: 0.2977 2023-01-30 03:37:23,361 - mmseg - INFO - Iter [86300/160000] lr: 2.764e-05, eta: 8:30:39, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2019, decode.acc_seg: 72.6670, aux.loss_ce: 0.0900, aux.acc_seg: 72.0143, loss: 0.2918 2023-01-30 03:37:42,924 - mmseg - INFO - Iter [86350/160000] lr: 2.762e-05, eta: 8:30:18, time: 0.394, data_time: 0.006, memory: 12319, decode.loss_ce: 0.2007, decode.acc_seg: 73.6545, aux.loss_ce: 0.0897, aux.acc_seg: 72.9840, loss: 0.2904 2023-01-30 03:38:02,599 - mmseg - INFO - Iter [86400/160000] lr: 2.760e-05, eta: 8:29:56, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2130, decode.acc_seg: 73.9896, aux.loss_ce: 0.0945, aux.acc_seg: 73.2827, loss: 0.3075 2023-01-30 03:38:22,257 - mmseg - INFO - Iter [86450/160000] lr: 2.758e-05, eta: 8:29:34, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2103, decode.acc_seg: 74.5871, aux.loss_ce: 0.0926, aux.acc_seg: 73.9950, loss: 0.3029 2023-01-30 03:38:41,976 - mmseg - INFO - Iter [86500/160000] lr: 2.756e-05, eta: 8:29:13, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2041, decode.acc_seg: 73.7116, aux.loss_ce: 0.0912, aux.acc_seg: 73.0078, loss: 0.2954 2023-01-30 03:39:01,648 - mmseg - INFO - Iter [86550/160000] lr: 2.754e-05, eta: 8:28:51, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1962, decode.acc_seg: 74.0203, aux.loss_ce: 0.0877, aux.acc_seg: 73.4024, loss: 0.2839 2023-01-30 03:39:21,439 - mmseg - INFO - Iter [86600/160000] lr: 2.753e-05, eta: 8:28:29, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2054, decode.acc_seg: 73.5650, aux.loss_ce: 0.0917, aux.acc_seg: 73.0095, loss: 0.2972 2023-01-30 03:39:41,144 - mmseg - INFO - Iter [86650/160000] lr: 2.751e-05, eta: 8:28:08, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2223, decode.acc_seg: 73.5039, aux.loss_ce: 0.0992, aux.acc_seg: 72.8478, loss: 0.3215 2023-01-30 03:40:01,026 - mmseg - INFO - Iter [86700/160000] lr: 2.749e-05, eta: 8:27:46, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1876, decode.acc_seg: 75.1371, aux.loss_ce: 0.0848, aux.acc_seg: 74.4176, loss: 0.2724 2023-01-30 03:40:20,923 - mmseg - INFO - Iter [86750/160000] lr: 2.747e-05, eta: 8:27:24, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2019, decode.acc_seg: 74.9602, aux.loss_ce: 0.0900, aux.acc_seg: 74.3324, loss: 0.2919 2023-01-30 03:40:40,729 - mmseg - INFO - Iter [86800/160000] lr: 2.745e-05, eta: 8:27:03, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1864, decode.acc_seg: 75.2395, aux.loss_ce: 0.0843, aux.acc_seg: 74.5317, loss: 0.2706 2023-01-30 03:41:00,551 - mmseg - INFO - Iter [86850/160000] lr: 2.743e-05, eta: 8:26:41, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1903, decode.acc_seg: 75.3349, aux.loss_ce: 0.0862, aux.acc_seg: 74.6611, loss: 0.2765 2023-01-30 03:41:20,268 - mmseg - INFO - Iter [86900/160000] lr: 2.741e-05, eta: 8:26:20, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2071, decode.acc_seg: 72.9186, aux.loss_ce: 0.0916, aux.acc_seg: 72.2904, loss: 0.2987 2023-01-30 03:41:40,102 - mmseg - INFO - Iter [86950/160000] lr: 2.739e-05, eta: 8:25:58, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1904, decode.acc_seg: 74.5057, aux.loss_ce: 0.0857, aux.acc_seg: 73.8586, loss: 0.2761 2023-01-30 03:41:59,841 - mmseg - INFO - Saving checkpoint at 87000 iterations 2023-01-30 03:42:10,287 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 03:42:10,288 - mmseg - INFO - Iter [87000/160000] lr: 2.738e-05, eta: 8:25:45, time: 0.603, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2061, decode.acc_seg: 74.2988, aux.loss_ce: 0.0915, aux.acc_seg: 73.7654, loss: 0.2976 2023-01-30 03:42:30,287 - mmseg - INFO - Iter [87050/160000] lr: 2.736e-05, eta: 8:25:24, time: 0.401, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1927, decode.acc_seg: 75.0355, aux.loss_ce: 0.0855, aux.acc_seg: 74.5241, loss: 0.2782 2023-01-30 03:42:50,091 - mmseg - INFO - Iter [87100/160000] lr: 2.734e-05, eta: 8:25:02, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1932, decode.acc_seg: 74.5343, aux.loss_ce: 0.0864, aux.acc_seg: 73.9507, loss: 0.2796 2023-01-30 03:43:12,749 - mmseg - INFO - Iter [87150/160000] lr: 2.732e-05, eta: 8:24:43, time: 0.453, data_time: 0.051, memory: 12319, decode.loss_ce: 0.1922, decode.acc_seg: 73.5765, aux.loss_ce: 0.0863, aux.acc_seg: 73.1111, loss: 0.2785 2023-01-30 03:43:32,482 - mmseg - INFO - Iter [87200/160000] lr: 2.730e-05, eta: 8:24:21, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2018, decode.acc_seg: 74.0962, aux.loss_ce: 0.0898, aux.acc_seg: 73.5140, loss: 0.2916 2023-01-30 03:43:52,150 - mmseg - INFO - Iter [87250/160000] lr: 2.728e-05, eta: 8:23:59, time: 0.395, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1833, decode.acc_seg: 74.3707, aux.loss_ce: 0.0824, aux.acc_seg: 73.7784, loss: 0.2657 2023-01-30 03:44:12,272 - mmseg - INFO - Iter [87300/160000] lr: 2.726e-05, eta: 8:23:38, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1844, decode.acc_seg: 75.3225, aux.loss_ce: 0.0833, aux.acc_seg: 74.6337, loss: 0.2677 2023-01-30 03:44:31,943 - mmseg - INFO - Iter [87350/160000] lr: 2.724e-05, eta: 8:23:16, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1821, decode.acc_seg: 75.6158, aux.loss_ce: 0.0822, aux.acc_seg: 75.0457, loss: 0.2643 2023-01-30 03:44:51,986 - mmseg - INFO - Iter [87400/160000] lr: 2.723e-05, eta: 8:22:55, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1790, decode.acc_seg: 74.3256, aux.loss_ce: 0.0801, aux.acc_seg: 73.7876, loss: 0.2590 2023-01-30 03:45:12,038 - mmseg - INFO - Iter [87450/160000] lr: 2.721e-05, eta: 8:22:34, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2031, decode.acc_seg: 73.5619, aux.loss_ce: 0.0907, aux.acc_seg: 72.9708, loss: 0.2938 2023-01-30 03:45:31,881 - mmseg - INFO - Iter [87500/160000] lr: 2.719e-05, eta: 8:22:12, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1997, decode.acc_seg: 75.3664, aux.loss_ce: 0.0894, aux.acc_seg: 74.7585, loss: 0.2891 2023-01-30 03:45:51,549 - mmseg - INFO - Iter [87550/160000] lr: 2.717e-05, eta: 8:21:50, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1923, decode.acc_seg: 75.5533, aux.loss_ce: 0.0850, aux.acc_seg: 75.0481, loss: 0.2774 2023-01-30 03:46:11,439 - mmseg - INFO - Iter [87600/160000] lr: 2.715e-05, eta: 8:21:29, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1895, decode.acc_seg: 72.8383, aux.loss_ce: 0.0858, aux.acc_seg: 72.2328, loss: 0.2754 2023-01-30 03:46:31,166 - mmseg - INFO - Iter [87650/160000] lr: 2.713e-05, eta: 8:21:07, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1921, decode.acc_seg: 74.3475, aux.loss_ce: 0.0857, aux.acc_seg: 73.6230, loss: 0.2779 2023-01-30 03:46:51,105 - mmseg - INFO - Iter [87700/160000] lr: 2.711e-05, eta: 8:20:46, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2018, decode.acc_seg: 74.9199, aux.loss_ce: 0.0899, aux.acc_seg: 74.3841, loss: 0.2917 2023-01-30 03:47:11,020 - mmseg - INFO - Iter [87750/160000] lr: 2.709e-05, eta: 8:20:24, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2054, decode.acc_seg: 74.3492, aux.loss_ce: 0.0925, aux.acc_seg: 73.7516, loss: 0.2979 2023-01-30 03:47:30,917 - mmseg - INFO - Iter [87800/160000] lr: 2.708e-05, eta: 8:20:03, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2012, decode.acc_seg: 75.4499, aux.loss_ce: 0.0897, aux.acc_seg: 74.8385, loss: 0.2909 2023-01-30 03:47:50,640 - mmseg - INFO - Iter [87850/160000] lr: 2.706e-05, eta: 8:19:41, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2039, decode.acc_seg: 73.7789, aux.loss_ce: 0.0916, aux.acc_seg: 73.0872, loss: 0.2954 2023-01-30 03:48:10,574 - mmseg - INFO - Iter [87900/160000] lr: 2.704e-05, eta: 8:19:20, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1946, decode.acc_seg: 74.1041, aux.loss_ce: 0.0861, aux.acc_seg: 73.6274, loss: 0.2807 2023-01-30 03:48:30,507 - mmseg - INFO - Iter [87950/160000] lr: 2.702e-05, eta: 8:18:58, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1984, decode.acc_seg: 73.9920, aux.loss_ce: 0.0884, aux.acc_seg: 73.3004, loss: 0.2868 2023-01-30 03:48:50,038 - mmseg - INFO - Saving checkpoint at 88000 iterations 2023-01-30 03:49:00,319 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 03:49:00,325 - mmseg - INFO - Iter [88000/160000] lr: 2.700e-05, eta: 8:18:45, time: 0.595, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1929, decode.acc_seg: 74.2066, aux.loss_ce: 0.0865, aux.acc_seg: 73.5783, loss: 0.2793 2023-01-30 03:49:20,779 - mmseg - INFO - Iter [88050/160000] lr: 2.698e-05, eta: 8:18:24, time: 0.410, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1963, decode.acc_seg: 74.4264, aux.loss_ce: 0.0875, aux.acc_seg: 73.7700, loss: 0.2838 2023-01-30 03:49:40,401 - mmseg - INFO - Iter [88100/160000] lr: 2.696e-05, eta: 8:18:02, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2052, decode.acc_seg: 73.8561, aux.loss_ce: 0.0917, aux.acc_seg: 73.3183, loss: 0.2969 2023-01-30 03:49:59,762 - mmseg - INFO - Iter [88150/160000] lr: 2.694e-05, eta: 8:17:40, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1977, decode.acc_seg: 74.1602, aux.loss_ce: 0.0879, aux.acc_seg: 73.5287, loss: 0.2856 2023-01-30 03:50:19,449 - mmseg - INFO - Iter [88200/160000] lr: 2.693e-05, eta: 8:17:18, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1848, decode.acc_seg: 74.1079, aux.loss_ce: 0.0835, aux.acc_seg: 73.4209, loss: 0.2683 2023-01-30 03:50:39,148 - mmseg - INFO - Iter [88250/160000] lr: 2.691e-05, eta: 8:16:57, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1959, decode.acc_seg: 74.2215, aux.loss_ce: 0.0875, aux.acc_seg: 73.6141, loss: 0.2834 2023-01-30 03:50:58,798 - mmseg - INFO - Iter [88300/160000] lr: 2.689e-05, eta: 8:16:35, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1855, decode.acc_seg: 75.4498, aux.loss_ce: 0.0835, aux.acc_seg: 74.7584, loss: 0.2690 2023-01-30 03:51:18,445 - mmseg - INFO - Iter [88350/160000] lr: 2.687e-05, eta: 8:16:13, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1944, decode.acc_seg: 74.9999, aux.loss_ce: 0.0881, aux.acc_seg: 74.3472, loss: 0.2825 2023-01-30 03:51:38,141 - mmseg - INFO - Iter [88400/160000] lr: 2.685e-05, eta: 8:15:52, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1865, decode.acc_seg: 73.4218, aux.loss_ce: 0.0836, aux.acc_seg: 72.8438, loss: 0.2701 2023-01-30 03:52:00,780 - mmseg - INFO - Iter [88450/160000] lr: 2.683e-05, eta: 8:15:32, time: 0.455, data_time: 0.057, memory: 12319, decode.loss_ce: 0.2026, decode.acc_seg: 75.3939, aux.loss_ce: 0.0902, aux.acc_seg: 74.7536, loss: 0.2928 2023-01-30 03:52:20,546 - mmseg - INFO - Iter [88500/160000] lr: 2.681e-05, eta: 8:15:11, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2014, decode.acc_seg: 74.5026, aux.loss_ce: 0.0889, aux.acc_seg: 73.9059, loss: 0.2903 2023-01-30 03:52:40,150 - mmseg - INFO - Iter [88550/160000] lr: 2.679e-05, eta: 8:14:49, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1855, decode.acc_seg: 74.7283, aux.loss_ce: 0.0824, aux.acc_seg: 74.2115, loss: 0.2679 2023-01-30 03:52:59,834 - mmseg - INFO - Iter [88600/160000] lr: 2.678e-05, eta: 8:14:27, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1917, decode.acc_seg: 75.7555, aux.loss_ce: 0.0856, aux.acc_seg: 75.1913, loss: 0.2773 2023-01-30 03:53:19,565 - mmseg - INFO - Iter [88650/160000] lr: 2.676e-05, eta: 8:14:06, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1946, decode.acc_seg: 73.4939, aux.loss_ce: 0.0871, aux.acc_seg: 72.8834, loss: 0.2817 2023-01-30 03:53:38,961 - mmseg - INFO - Iter [88700/160000] lr: 2.674e-05, eta: 8:13:44, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1994, decode.acc_seg: 74.1596, aux.loss_ce: 0.0886, aux.acc_seg: 73.6008, loss: 0.2880 2023-01-30 03:53:58,537 - mmseg - INFO - Iter [88750/160000] lr: 2.672e-05, eta: 8:13:22, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2052, decode.acc_seg: 73.2540, aux.loss_ce: 0.0917, aux.acc_seg: 72.5367, loss: 0.2969 2023-01-30 03:54:17,963 - mmseg - INFO - Iter [88800/160000] lr: 2.670e-05, eta: 8:13:00, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1985, decode.acc_seg: 76.1722, aux.loss_ce: 0.0881, aux.acc_seg: 75.6010, loss: 0.2866 2023-01-30 03:54:37,548 - mmseg - INFO - Iter [88850/160000] lr: 2.668e-05, eta: 8:12:39, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1872, decode.acc_seg: 75.4091, aux.loss_ce: 0.0841, aux.acc_seg: 74.7876, loss: 0.2713 2023-01-30 03:54:57,031 - mmseg - INFO - Iter [88900/160000] lr: 2.666e-05, eta: 8:12:17, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1771, decode.acc_seg: 75.0125, aux.loss_ce: 0.0789, aux.acc_seg: 74.4482, loss: 0.2559 2023-01-30 03:55:16,714 - mmseg - INFO - Iter [88950/160000] lr: 2.664e-05, eta: 8:11:55, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1871, decode.acc_seg: 74.3499, aux.loss_ce: 0.0840, aux.acc_seg: 73.7530, loss: 0.2712 2023-01-30 03:55:36,332 - mmseg - INFO - Saving checkpoint at 89000 iterations 2023-01-30 03:55:46,283 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 03:55:46,284 - mmseg - INFO - Iter [89000/160000] lr: 2.663e-05, eta: 8:11:41, time: 0.591, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1903, decode.acc_seg: 74.0281, aux.loss_ce: 0.0862, aux.acc_seg: 73.3325, loss: 0.2764 2023-01-30 03:56:05,930 - mmseg - INFO - Iter [89050/160000] lr: 2.661e-05, eta: 8:11:20, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1947, decode.acc_seg: 75.0679, aux.loss_ce: 0.0877, aux.acc_seg: 74.4398, loss: 0.2825 2023-01-30 03:56:25,520 - mmseg - INFO - Iter [89100/160000] lr: 2.659e-05, eta: 8:10:58, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1927, decode.acc_seg: 73.6137, aux.loss_ce: 0.0857, aux.acc_seg: 73.0413, loss: 0.2784 2023-01-30 03:56:45,183 - mmseg - INFO - Iter [89150/160000] lr: 2.657e-05, eta: 8:10:36, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1995, decode.acc_seg: 72.0737, aux.loss_ce: 0.0892, aux.acc_seg: 71.3998, loss: 0.2887 2023-01-30 03:57:04,973 - mmseg - INFO - Iter [89200/160000] lr: 2.655e-05, eta: 8:10:15, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1842, decode.acc_seg: 75.2754, aux.loss_ce: 0.0828, aux.acc_seg: 74.7151, loss: 0.2670 2023-01-30 03:57:24,996 - mmseg - INFO - Iter [89250/160000] lr: 2.653e-05, eta: 8:09:53, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2002, decode.acc_seg: 75.2008, aux.loss_ce: 0.0889, aux.acc_seg: 74.6114, loss: 0.2891 2023-01-30 03:57:44,657 - mmseg - INFO - Iter [89300/160000] lr: 2.651e-05, eta: 8:09:32, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1998, decode.acc_seg: 73.5867, aux.loss_ce: 0.0892, aux.acc_seg: 72.9550, loss: 0.2890 2023-01-30 03:58:04,527 - mmseg - INFO - Iter [89350/160000] lr: 2.649e-05, eta: 8:09:10, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1910, decode.acc_seg: 75.0430, aux.loss_ce: 0.0846, aux.acc_seg: 74.5494, loss: 0.2756 2023-01-30 03:58:24,148 - mmseg - INFO - Iter [89400/160000] lr: 2.648e-05, eta: 8:08:49, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1915, decode.acc_seg: 74.0266, aux.loss_ce: 0.0857, aux.acc_seg: 73.4061, loss: 0.2772 2023-01-30 03:58:43,719 - mmseg - INFO - Iter [89450/160000] lr: 2.646e-05, eta: 8:08:27, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2001, decode.acc_seg: 73.7384, aux.loss_ce: 0.0900, aux.acc_seg: 73.1286, loss: 0.2901 2023-01-30 03:59:03,714 - mmseg - INFO - Iter [89500/160000] lr: 2.644e-05, eta: 8:08:06, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1884, decode.acc_seg: 73.3537, aux.loss_ce: 0.0846, aux.acc_seg: 72.7351, loss: 0.2730 2023-01-30 03:59:23,570 - mmseg - INFO - Iter [89550/160000] lr: 2.642e-05, eta: 8:07:44, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1937, decode.acc_seg: 74.2200, aux.loss_ce: 0.0860, aux.acc_seg: 73.6343, loss: 0.2797 2023-01-30 03:59:43,323 - mmseg - INFO - Iter [89600/160000] lr: 2.640e-05, eta: 8:07:22, time: 0.395, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1972, decode.acc_seg: 74.3498, aux.loss_ce: 0.0881, aux.acc_seg: 73.7096, loss: 0.2853 2023-01-30 04:00:03,298 - mmseg - INFO - Iter [89650/160000] lr: 2.638e-05, eta: 8:07:01, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1911, decode.acc_seg: 74.6270, aux.loss_ce: 0.0863, aux.acc_seg: 73.9406, loss: 0.2773 2023-01-30 04:00:25,821 - mmseg - INFO - Iter [89700/160000] lr: 2.636e-05, eta: 8:06:42, time: 0.451, data_time: 0.051, memory: 12319, decode.loss_ce: 0.1948, decode.acc_seg: 74.3005, aux.loss_ce: 0.0884, aux.acc_seg: 73.6033, loss: 0.2832 2023-01-30 04:00:45,546 - mmseg - INFO - Iter [89750/160000] lr: 2.634e-05, eta: 8:06:20, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1892, decode.acc_seg: 73.6118, aux.loss_ce: 0.0842, aux.acc_seg: 72.9815, loss: 0.2734 2023-01-30 04:01:05,377 - mmseg - INFO - Iter [89800/160000] lr: 2.633e-05, eta: 8:05:59, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1823, decode.acc_seg: 74.2825, aux.loss_ce: 0.0819, aux.acc_seg: 73.6662, loss: 0.2642 2023-01-30 04:01:25,118 - mmseg - INFO - Iter [89850/160000] lr: 2.631e-05, eta: 8:05:37, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1837, decode.acc_seg: 74.8715, aux.loss_ce: 0.0831, aux.acc_seg: 74.2920, loss: 0.2667 2023-01-30 04:01:44,901 - mmseg - INFO - Iter [89900/160000] lr: 2.629e-05, eta: 8:05:15, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1889, decode.acc_seg: 74.5504, aux.loss_ce: 0.0856, aux.acc_seg: 73.8488, loss: 0.2745 2023-01-30 04:02:04,375 - mmseg - INFO - Iter [89950/160000] lr: 2.627e-05, eta: 8:04:54, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1924, decode.acc_seg: 74.9705, aux.loss_ce: 0.0866, aux.acc_seg: 74.3254, loss: 0.2789 2023-01-30 04:02:23,847 - mmseg - INFO - Saving checkpoint at 90000 iterations 2023-01-30 04:02:34,548 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 04:02:34,554 - mmseg - INFO - Iter [90000/160000] lr: 2.625e-05, eta: 8:04:40, time: 0.603, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1918, decode.acc_seg: 73.6122, aux.loss_ce: 0.0852, aux.acc_seg: 73.1110, loss: 0.2770 2023-01-30 04:02:54,385 - mmseg - INFO - Iter [90050/160000] lr: 2.623e-05, eta: 8:04:19, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1918, decode.acc_seg: 75.9328, aux.loss_ce: 0.0849, aux.acc_seg: 75.3872, loss: 0.2768 2023-01-30 04:03:13,849 - mmseg - INFO - Iter [90100/160000] lr: 2.621e-05, eta: 8:03:57, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2045, decode.acc_seg: 75.1911, aux.loss_ce: 0.0908, aux.acc_seg: 74.5773, loss: 0.2953 2023-01-30 04:03:33,530 - mmseg - INFO - Iter [90150/160000] lr: 2.619e-05, eta: 8:03:35, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1814, decode.acc_seg: 73.7187, aux.loss_ce: 0.0823, aux.acc_seg: 73.1189, loss: 0.2637 2023-01-30 04:03:53,444 - mmseg - INFO - Iter [90200/160000] lr: 2.618e-05, eta: 8:03:14, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1911, decode.acc_seg: 73.3518, aux.loss_ce: 0.0858, aux.acc_seg: 72.6884, loss: 0.2770 2023-01-30 04:04:13,137 - mmseg - INFO - Iter [90250/160000] lr: 2.616e-05, eta: 8:02:52, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2101, decode.acc_seg: 74.5099, aux.loss_ce: 0.0947, aux.acc_seg: 73.7693, loss: 0.3049 2023-01-30 04:04:32,677 - mmseg - INFO - Iter [90300/160000] lr: 2.614e-05, eta: 8:02:31, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1982, decode.acc_seg: 72.3037, aux.loss_ce: 0.0885, aux.acc_seg: 71.6325, loss: 0.2866 2023-01-30 04:04:52,791 - mmseg - INFO - Iter [90350/160000] lr: 2.612e-05, eta: 8:02:09, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1955, decode.acc_seg: 73.5126, aux.loss_ce: 0.0878, aux.acc_seg: 72.8623, loss: 0.2832 2023-01-30 04:05:12,916 - mmseg - INFO - Iter [90400/160000] lr: 2.610e-05, eta: 8:01:48, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1834, decode.acc_seg: 74.7779, aux.loss_ce: 0.0826, aux.acc_seg: 74.1739, loss: 0.2660 2023-01-30 04:05:32,578 - mmseg - INFO - Iter [90450/160000] lr: 2.608e-05, eta: 8:01:26, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2056, decode.acc_seg: 76.2146, aux.loss_ce: 0.0924, aux.acc_seg: 75.5290, loss: 0.2980 2023-01-30 04:05:52,247 - mmseg - INFO - Iter [90500/160000] lr: 2.606e-05, eta: 8:01:05, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1909, decode.acc_seg: 74.7252, aux.loss_ce: 0.0860, aux.acc_seg: 74.0457, loss: 0.2769 2023-01-30 04:06:12,158 - mmseg - INFO - Iter [90550/160000] lr: 2.604e-05, eta: 8:00:43, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1920, decode.acc_seg: 73.0670, aux.loss_ce: 0.0854, aux.acc_seg: 72.5079, loss: 0.2773 2023-01-30 04:06:32,021 - mmseg - INFO - Iter [90600/160000] lr: 2.603e-05, eta: 8:00:22, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1857, decode.acc_seg: 74.1607, aux.loss_ce: 0.0836, aux.acc_seg: 73.5077, loss: 0.2693 2023-01-30 04:06:51,919 - mmseg - INFO - Iter [90650/160000] lr: 2.601e-05, eta: 8:00:01, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2011, decode.acc_seg: 75.7513, aux.loss_ce: 0.0897, aux.acc_seg: 75.0629, loss: 0.2908 2023-01-30 04:07:11,838 - mmseg - INFO - Iter [90700/160000] lr: 2.599e-05, eta: 7:59:39, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1984, decode.acc_seg: 74.3884, aux.loss_ce: 0.0882, aux.acc_seg: 73.8195, loss: 0.2866 2023-01-30 04:07:31,923 - mmseg - INFO - Iter [90750/160000] lr: 2.597e-05, eta: 7:59:18, time: 0.402, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1962, decode.acc_seg: 73.7642, aux.loss_ce: 0.0875, aux.acc_seg: 73.1356, loss: 0.2837 2023-01-30 04:07:51,922 - mmseg - INFO - Iter [90800/160000] lr: 2.595e-05, eta: 7:58:56, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1989, decode.acc_seg: 74.3730, aux.loss_ce: 0.0893, aux.acc_seg: 73.7416, loss: 0.2882 2023-01-30 04:08:11,668 - mmseg - INFO - Iter [90850/160000] lr: 2.593e-05, eta: 7:58:35, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1841, decode.acc_seg: 74.2703, aux.loss_ce: 0.0826, aux.acc_seg: 73.7704, loss: 0.2667 2023-01-30 04:08:31,448 - mmseg - INFO - Iter [90900/160000] lr: 2.591e-05, eta: 7:58:13, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1970, decode.acc_seg: 74.0574, aux.loss_ce: 0.0885, aux.acc_seg: 73.5136, loss: 0.2855 2023-01-30 04:08:53,715 - mmseg - INFO - Iter [90950/160000] lr: 2.589e-05, eta: 7:57:54, time: 0.445, data_time: 0.050, memory: 12319, decode.loss_ce: 0.1975, decode.acc_seg: 74.2182, aux.loss_ce: 0.0886, aux.acc_seg: 73.6361, loss: 0.2860 2023-01-30 04:09:13,532 - mmseg - INFO - Saving checkpoint at 91000 iterations 2023-01-30 04:09:24,199 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 04:09:24,199 - mmseg - INFO - Iter [91000/160000] lr: 2.588e-05, eta: 7:57:40, time: 0.610, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1851, decode.acc_seg: 73.4483, aux.loss_ce: 0.0834, aux.acc_seg: 72.8549, loss: 0.2685 2023-01-30 04:09:44,420 - mmseg - INFO - Iter [91050/160000] lr: 2.586e-05, eta: 7:57:19, time: 0.405, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1893, decode.acc_seg: 74.8601, aux.loss_ce: 0.0843, aux.acc_seg: 74.4177, loss: 0.2736 2023-01-30 04:10:04,056 - mmseg - INFO - Iter [91100/160000] lr: 2.584e-05, eta: 7:56:58, time: 0.393, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1923, decode.acc_seg: 74.4935, aux.loss_ce: 0.0853, aux.acc_seg: 73.9034, loss: 0.2776 2023-01-30 04:10:23,665 - mmseg - INFO - Iter [91150/160000] lr: 2.582e-05, eta: 7:56:36, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1824, decode.acc_seg: 73.6233, aux.loss_ce: 0.0841, aux.acc_seg: 72.8837, loss: 0.2664 2023-01-30 04:10:43,707 - mmseg - INFO - Iter [91200/160000] lr: 2.580e-05, eta: 7:56:15, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1926, decode.acc_seg: 74.2666, aux.loss_ce: 0.0856, aux.acc_seg: 73.7349, loss: 0.2782 2023-01-30 04:11:03,183 - mmseg - INFO - Iter [91250/160000] lr: 2.578e-05, eta: 7:55:53, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1931, decode.acc_seg: 75.5327, aux.loss_ce: 0.0865, aux.acc_seg: 74.9262, loss: 0.2796 2023-01-30 04:11:22,780 - mmseg - INFO - Iter [91300/160000] lr: 2.576e-05, eta: 7:55:31, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1956, decode.acc_seg: 75.1966, aux.loss_ce: 0.0872, aux.acc_seg: 74.6439, loss: 0.2829 2023-01-30 04:11:42,575 - mmseg - INFO - Iter [91350/160000] lr: 2.574e-05, eta: 7:55:10, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1930, decode.acc_seg: 74.7672, aux.loss_ce: 0.0864, aux.acc_seg: 74.1265, loss: 0.2794 2023-01-30 04:12:02,435 - mmseg - INFO - Iter [91400/160000] lr: 2.573e-05, eta: 7:54:48, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1904, decode.acc_seg: 75.2426, aux.loss_ce: 0.0851, aux.acc_seg: 74.6937, loss: 0.2755 2023-01-30 04:12:22,018 - mmseg - INFO - Iter [91450/160000] lr: 2.571e-05, eta: 7:54:27, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1829, decode.acc_seg: 74.1454, aux.loss_ce: 0.0830, aux.acc_seg: 73.4429, loss: 0.2659 2023-01-30 04:12:41,773 - mmseg - INFO - Iter [91500/160000] lr: 2.569e-05, eta: 7:54:05, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1974, decode.acc_seg: 75.2335, aux.loss_ce: 0.0878, aux.acc_seg: 74.6425, loss: 0.2852 2023-01-30 04:13:01,538 - mmseg - INFO - Iter [91550/160000] lr: 2.567e-05, eta: 7:53:44, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2135, decode.acc_seg: 74.5563, aux.loss_ce: 0.0954, aux.acc_seg: 73.8552, loss: 0.3089 2023-01-30 04:13:21,276 - mmseg - INFO - Iter [91600/160000] lr: 2.565e-05, eta: 7:53:22, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1877, decode.acc_seg: 73.6635, aux.loss_ce: 0.0843, aux.acc_seg: 73.0608, loss: 0.2720 2023-01-30 04:13:40,804 - mmseg - INFO - Iter [91650/160000] lr: 2.563e-05, eta: 7:53:00, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1993, decode.acc_seg: 74.3394, aux.loss_ce: 0.0898, aux.acc_seg: 73.5963, loss: 0.2891 2023-01-30 04:14:00,552 - mmseg - INFO - Iter [91700/160000] lr: 2.561e-05, eta: 7:52:39, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1881, decode.acc_seg: 74.4685, aux.loss_ce: 0.0849, aux.acc_seg: 73.8632, loss: 0.2730 2023-01-30 04:14:20,324 - mmseg - INFO - Iter [91750/160000] lr: 2.559e-05, eta: 7:52:17, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2029, decode.acc_seg: 73.6810, aux.loss_ce: 0.0894, aux.acc_seg: 73.0578, loss: 0.2922 2023-01-30 04:14:40,120 - mmseg - INFO - Iter [91800/160000] lr: 2.558e-05, eta: 7:51:56, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1807, decode.acc_seg: 74.1167, aux.loss_ce: 0.0809, aux.acc_seg: 73.5259, loss: 0.2616 2023-01-30 04:14:59,864 - mmseg - INFO - Iter [91850/160000] lr: 2.556e-05, eta: 7:51:34, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1804, decode.acc_seg: 74.0425, aux.loss_ce: 0.0811, aux.acc_seg: 73.4737, loss: 0.2616 2023-01-30 04:15:19,409 - mmseg - INFO - Iter [91900/160000] lr: 2.554e-05, eta: 7:51:13, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1910, decode.acc_seg: 74.0098, aux.loss_ce: 0.0857, aux.acc_seg: 73.4315, loss: 0.2766 2023-01-30 04:15:39,374 - mmseg - INFO - Iter [91950/160000] lr: 2.552e-05, eta: 7:50:51, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1842, decode.acc_seg: 75.5113, aux.loss_ce: 0.0832, aux.acc_seg: 74.8155, loss: 0.2673 2023-01-30 04:15:59,120 - mmseg - INFO - Saving checkpoint at 92000 iterations 2023-01-30 04:16:08,747 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 04:16:08,747 - mmseg - INFO - Iter [92000/160000] lr: 2.550e-05, eta: 7:50:37, time: 0.588, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1922, decode.acc_seg: 75.3293, aux.loss_ce: 0.0856, aux.acc_seg: 74.7408, loss: 0.2778 2023-01-30 04:16:28,732 - mmseg - INFO - Iter [92050/160000] lr: 2.548e-05, eta: 7:50:16, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1851, decode.acc_seg: 75.5979, aux.loss_ce: 0.0836, aux.acc_seg: 74.9962, loss: 0.2687 2023-01-30 04:16:48,305 - mmseg - INFO - Iter [92100/160000] lr: 2.546e-05, eta: 7:49:54, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1816, decode.acc_seg: 74.0092, aux.loss_ce: 0.0816, aux.acc_seg: 73.3942, loss: 0.2632 2023-01-30 04:17:08,034 - mmseg - INFO - Iter [92150/160000] lr: 2.544e-05, eta: 7:49:33, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1921, decode.acc_seg: 75.5769, aux.loss_ce: 0.0866, aux.acc_seg: 74.8528, loss: 0.2788 2023-01-30 04:17:30,057 - mmseg - INFO - Iter [92200/160000] lr: 2.543e-05, eta: 7:49:13, time: 0.441, data_time: 0.050, memory: 12319, decode.loss_ce: 0.1991, decode.acc_seg: 75.2803, aux.loss_ce: 0.0883, aux.acc_seg: 74.7077, loss: 0.2874 2023-01-30 04:17:49,725 - mmseg - INFO - Iter [92250/160000] lr: 2.541e-05, eta: 7:48:51, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1881, decode.acc_seg: 74.5793, aux.loss_ce: 0.0852, aux.acc_seg: 73.8849, loss: 0.2733 2023-01-30 04:18:09,695 - mmseg - INFO - Iter [92300/160000] lr: 2.539e-05, eta: 7:48:30, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2015, decode.acc_seg: 73.5047, aux.loss_ce: 0.0905, aux.acc_seg: 72.8593, loss: 0.2921 2023-01-30 04:18:29,782 - mmseg - INFO - Iter [92350/160000] lr: 2.537e-05, eta: 7:48:09, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1786, decode.acc_seg: 74.5340, aux.loss_ce: 0.0801, aux.acc_seg: 73.9583, loss: 0.2587 2023-01-30 04:18:49,466 - mmseg - INFO - Iter [92400/160000] lr: 2.535e-05, eta: 7:47:47, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1861, decode.acc_seg: 73.0905, aux.loss_ce: 0.0819, aux.acc_seg: 72.6179, loss: 0.2681 2023-01-30 04:19:09,236 - mmseg - INFO - Iter [92450/160000] lr: 2.533e-05, eta: 7:47:25, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1885, decode.acc_seg: 74.4957, aux.loss_ce: 0.0859, aux.acc_seg: 73.7382, loss: 0.2744 2023-01-30 04:19:29,145 - mmseg - INFO - Iter [92500/160000] lr: 2.531e-05, eta: 7:47:04, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2057, decode.acc_seg: 74.5480, aux.loss_ce: 0.0903, aux.acc_seg: 74.0430, loss: 0.2960 2023-01-30 04:19:48,923 - mmseg - INFO - Iter [92550/160000] lr: 2.529e-05, eta: 7:46:43, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1999, decode.acc_seg: 74.3165, aux.loss_ce: 0.0895, aux.acc_seg: 73.7116, loss: 0.2894 2023-01-30 04:20:08,825 - mmseg - INFO - Iter [92600/160000] lr: 2.528e-05, eta: 7:46:21, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1853, decode.acc_seg: 73.5129, aux.loss_ce: 0.0831, aux.acc_seg: 72.9022, loss: 0.2683 2023-01-30 04:20:28,617 - mmseg - INFO - Iter [92650/160000] lr: 2.526e-05, eta: 7:46:00, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1793, decode.acc_seg: 74.4427, aux.loss_ce: 0.0806, aux.acc_seg: 73.8071, loss: 0.2599 2023-01-30 04:20:48,829 - mmseg - INFO - Iter [92700/160000] lr: 2.524e-05, eta: 7:45:39, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1942, decode.acc_seg: 72.7688, aux.loss_ce: 0.0875, aux.acc_seg: 72.1225, loss: 0.2817 2023-01-30 04:21:08,826 - mmseg - INFO - Iter [92750/160000] lr: 2.522e-05, eta: 7:45:17, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2009, decode.acc_seg: 74.1090, aux.loss_ce: 0.0886, aux.acc_seg: 73.6696, loss: 0.2895 2023-01-30 04:21:28,763 - mmseg - INFO - Iter [92800/160000] lr: 2.520e-05, eta: 7:44:56, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1949, decode.acc_seg: 74.7385, aux.loss_ce: 0.0863, aux.acc_seg: 74.0928, loss: 0.2812 2023-01-30 04:21:48,536 - mmseg - INFO - Iter [92850/160000] lr: 2.518e-05, eta: 7:44:35, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1917, decode.acc_seg: 73.5300, aux.loss_ce: 0.0861, aux.acc_seg: 72.9040, loss: 0.2778 2023-01-30 04:22:08,181 - mmseg - INFO - Iter [92900/160000] lr: 2.516e-05, eta: 7:44:13, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1996, decode.acc_seg: 73.8358, aux.loss_ce: 0.0885, aux.acc_seg: 73.1991, loss: 0.2881 2023-01-30 04:22:27,735 - mmseg - INFO - Iter [92950/160000] lr: 2.514e-05, eta: 7:43:51, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1828, decode.acc_seg: 75.9770, aux.loss_ce: 0.0822, aux.acc_seg: 75.3174, loss: 0.2650 2023-01-30 04:22:47,436 - mmseg - INFO - Saving checkpoint at 93000 iterations 2023-01-30 04:22:58,421 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 04:22:58,423 - mmseg - INFO - Iter [93000/160000] lr: 2.513e-05, eta: 7:43:38, time: 0.614, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1927, decode.acc_seg: 73.7492, aux.loss_ce: 0.0869, aux.acc_seg: 73.0777, loss: 0.2797 2023-01-30 04:23:18,416 - mmseg - INFO - Iter [93050/160000] lr: 2.511e-05, eta: 7:43:16, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1948, decode.acc_seg: 73.8875, aux.loss_ce: 0.0881, aux.acc_seg: 73.1542, loss: 0.2830 2023-01-30 04:23:38,245 - mmseg - INFO - Iter [93100/160000] lr: 2.509e-05, eta: 7:42:55, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1906, decode.acc_seg: 74.3228, aux.loss_ce: 0.0859, aux.acc_seg: 73.6880, loss: 0.2765 2023-01-30 04:23:57,854 - mmseg - INFO - Iter [93150/160000] lr: 2.507e-05, eta: 7:42:33, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2026, decode.acc_seg: 75.2054, aux.loss_ce: 0.0904, aux.acc_seg: 74.5144, loss: 0.2930 2023-01-30 04:24:17,758 - mmseg - INFO - Iter [93200/160000] lr: 2.505e-05, eta: 7:42:12, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1889, decode.acc_seg: 73.9935, aux.loss_ce: 0.0839, aux.acc_seg: 73.4173, loss: 0.2729 2023-01-30 04:24:37,366 - mmseg - INFO - Iter [93250/160000] lr: 2.503e-05, eta: 7:41:50, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1947, decode.acc_seg: 74.7721, aux.loss_ce: 0.0856, aux.acc_seg: 74.2469, loss: 0.2803 2023-01-30 04:24:57,046 - mmseg - INFO - Iter [93300/160000] lr: 2.501e-05, eta: 7:41:29, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1879, decode.acc_seg: 73.9647, aux.loss_ce: 0.0840, aux.acc_seg: 73.4128, loss: 0.2718 2023-01-30 04:25:17,008 - mmseg - INFO - Iter [93350/160000] lr: 2.499e-05, eta: 7:41:08, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1926, decode.acc_seg: 74.0108, aux.loss_ce: 0.0867, aux.acc_seg: 73.3740, loss: 0.2793 2023-01-30 04:25:36,909 - mmseg - INFO - Iter [93400/160000] lr: 2.498e-05, eta: 7:40:46, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1908, decode.acc_seg: 74.0101, aux.loss_ce: 0.0855, aux.acc_seg: 73.3799, loss: 0.2762 2023-01-30 04:25:56,791 - mmseg - INFO - Iter [93450/160000] lr: 2.496e-05, eta: 7:40:25, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1841, decode.acc_seg: 73.5224, aux.loss_ce: 0.0829, aux.acc_seg: 72.8538, loss: 0.2671 2023-01-30 04:26:19,766 - mmseg - INFO - Iter [93500/160000] lr: 2.494e-05, eta: 7:40:06, time: 0.460, data_time: 0.055, memory: 12319, decode.loss_ce: 0.1903, decode.acc_seg: 73.0584, aux.loss_ce: 0.0874, aux.acc_seg: 72.2745, loss: 0.2776 2023-01-30 04:26:39,667 - mmseg - INFO - Iter [93550/160000] lr: 2.492e-05, eta: 7:39:44, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1848, decode.acc_seg: 73.3157, aux.loss_ce: 0.0826, aux.acc_seg: 72.6788, loss: 0.2673 2023-01-30 04:26:59,432 - mmseg - INFO - Iter [93600/160000] lr: 2.490e-05, eta: 7:39:23, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1907, decode.acc_seg: 75.0958, aux.loss_ce: 0.0856, aux.acc_seg: 74.5015, loss: 0.2763 2023-01-30 04:27:19,188 - mmseg - INFO - Iter [93650/160000] lr: 2.488e-05, eta: 7:39:01, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1856, decode.acc_seg: 74.8455, aux.loss_ce: 0.0831, aux.acc_seg: 74.2264, loss: 0.2687 2023-01-30 04:27:39,265 - mmseg - INFO - Iter [93700/160000] lr: 2.486e-05, eta: 7:38:40, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1794, decode.acc_seg: 75.0511, aux.loss_ce: 0.0806, aux.acc_seg: 74.4426, loss: 0.2600 2023-01-30 04:27:59,000 - mmseg - INFO - Iter [93750/160000] lr: 2.484e-05, eta: 7:38:19, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1914, decode.acc_seg: 72.9259, aux.loss_ce: 0.0862, aux.acc_seg: 72.2545, loss: 0.2776 2023-01-30 04:28:18,777 - mmseg - INFO - Iter [93800/160000] lr: 2.483e-05, eta: 7:37:57, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1703, decode.acc_seg: 74.9582, aux.loss_ce: 0.0765, aux.acc_seg: 74.3548, loss: 0.2467 2023-01-30 04:28:38,478 - mmseg - INFO - Iter [93850/160000] lr: 2.481e-05, eta: 7:37:36, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1922, decode.acc_seg: 74.0052, aux.loss_ce: 0.0858, aux.acc_seg: 73.4591, loss: 0.2780 2023-01-30 04:28:58,294 - mmseg - INFO - Iter [93900/160000] lr: 2.479e-05, eta: 7:37:14, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1834, decode.acc_seg: 73.4267, aux.loss_ce: 0.0827, aux.acc_seg: 72.7955, loss: 0.2662 2023-01-30 04:29:18,303 - mmseg - INFO - Iter [93950/160000] lr: 2.477e-05, eta: 7:36:53, time: 0.401, data_time: 0.007, memory: 12319, decode.loss_ce: 0.1813, decode.acc_seg: 74.3681, aux.loss_ce: 0.0825, aux.acc_seg: 73.6672, loss: 0.2637 2023-01-30 04:29:38,371 - mmseg - INFO - Saving checkpoint at 94000 iterations 2023-01-30 04:29:49,470 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 04:29:49,471 - mmseg - INFO - Iter [94000/160000] lr: 2.475e-05, eta: 7:36:40, time: 0.623, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1743, decode.acc_seg: 73.6516, aux.loss_ce: 0.0784, aux.acc_seg: 73.0537, loss: 0.2526 2023-01-30 04:30:09,526 - mmseg - INFO - Iter [94050/160000] lr: 2.473e-05, eta: 7:36:18, time: 0.404, data_time: 0.007, memory: 12319, decode.loss_ce: 0.1777, decode.acc_seg: 74.2812, aux.loss_ce: 0.0800, aux.acc_seg: 73.7158, loss: 0.2577 2023-01-30 04:30:29,197 - mmseg - INFO - Iter [94100/160000] lr: 2.471e-05, eta: 7:35:57, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1944, decode.acc_seg: 73.0597, aux.loss_ce: 0.0872, aux.acc_seg: 72.4467, loss: 0.2817 2023-01-30 04:30:48,760 - mmseg - INFO - Iter [94150/160000] lr: 2.469e-05, eta: 7:35:35, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1975, decode.acc_seg: 74.1455, aux.loss_ce: 0.0887, aux.acc_seg: 73.6026, loss: 0.2863 2023-01-30 04:31:08,752 - mmseg - INFO - Iter [94200/160000] lr: 2.468e-05, eta: 7:35:14, time: 0.400, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1906, decode.acc_seg: 75.0235, aux.loss_ce: 0.0857, aux.acc_seg: 74.4122, loss: 0.2763 2023-01-30 04:31:28,547 - mmseg - INFO - Iter [94250/160000] lr: 2.466e-05, eta: 7:34:53, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1909, decode.acc_seg: 74.4184, aux.loss_ce: 0.0858, aux.acc_seg: 73.7529, loss: 0.2767 2023-01-30 04:31:48,457 - mmseg - INFO - Iter [94300/160000] lr: 2.464e-05, eta: 7:34:31, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1911, decode.acc_seg: 76.6668, aux.loss_ce: 0.0855, aux.acc_seg: 76.0925, loss: 0.2765 2023-01-30 04:32:08,190 - mmseg - INFO - Iter [94350/160000] lr: 2.462e-05, eta: 7:34:10, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1947, decode.acc_seg: 74.8118, aux.loss_ce: 0.0870, aux.acc_seg: 74.2097, loss: 0.2818 2023-01-30 04:32:27,961 - mmseg - INFO - Iter [94400/160000] lr: 2.460e-05, eta: 7:33:48, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1894, decode.acc_seg: 75.3149, aux.loss_ce: 0.0848, aux.acc_seg: 74.7372, loss: 0.2742 2023-01-30 04:32:47,772 - mmseg - INFO - Iter [94450/160000] lr: 2.458e-05, eta: 7:33:27, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1831, decode.acc_seg: 73.6898, aux.loss_ce: 0.0814, aux.acc_seg: 73.0931, loss: 0.2646 2023-01-30 04:33:07,647 - mmseg - INFO - Iter [94500/160000] lr: 2.456e-05, eta: 7:33:06, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1798, decode.acc_seg: 75.3041, aux.loss_ce: 0.0813, aux.acc_seg: 74.6612, loss: 0.2611 2023-01-30 04:33:27,237 - mmseg - INFO - Iter [94550/160000] lr: 2.454e-05, eta: 7:32:44, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1792, decode.acc_seg: 75.6161, aux.loss_ce: 0.0817, aux.acc_seg: 74.9628, loss: 0.2609 2023-01-30 04:33:47,234 - mmseg - INFO - Iter [94600/160000] lr: 2.453e-05, eta: 7:32:23, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1746, decode.acc_seg: 74.5574, aux.loss_ce: 0.0788, aux.acc_seg: 73.9449, loss: 0.2534 2023-01-30 04:34:06,746 - mmseg - INFO - Iter [94650/160000] lr: 2.451e-05, eta: 7:32:01, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1852, decode.acc_seg: 74.5945, aux.loss_ce: 0.0827, aux.acc_seg: 74.0520, loss: 0.2679 2023-01-30 04:34:26,445 - mmseg - INFO - Iter [94700/160000] lr: 2.449e-05, eta: 7:31:40, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1904, decode.acc_seg: 74.4683, aux.loss_ce: 0.0865, aux.acc_seg: 73.6968, loss: 0.2769 2023-01-30 04:34:49,107 - mmseg - INFO - Iter [94750/160000] lr: 2.447e-05, eta: 7:31:20, time: 0.453, data_time: 0.054, memory: 12319, decode.loss_ce: 0.1855, decode.acc_seg: 75.5821, aux.loss_ce: 0.0843, aux.acc_seg: 74.8521, loss: 0.2698 2023-01-30 04:35:08,602 - mmseg - INFO - Iter [94800/160000] lr: 2.445e-05, eta: 7:30:59, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1964, decode.acc_seg: 72.9550, aux.loss_ce: 0.0880, aux.acc_seg: 72.3357, loss: 0.2844 2023-01-30 04:35:28,300 - mmseg - INFO - Iter [94850/160000] lr: 2.443e-05, eta: 7:30:37, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1862, decode.acc_seg: 74.0589, aux.loss_ce: 0.0843, aux.acc_seg: 73.4244, loss: 0.2705 2023-01-30 04:35:47,986 - mmseg - INFO - Iter [94900/160000] lr: 2.441e-05, eta: 7:30:16, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1781, decode.acc_seg: 74.9896, aux.loss_ce: 0.0808, aux.acc_seg: 74.2828, loss: 0.2589 2023-01-30 04:36:07,423 - mmseg - INFO - Iter [94950/160000] lr: 2.439e-05, eta: 7:29:54, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1781, decode.acc_seg: 74.7062, aux.loss_ce: 0.0793, aux.acc_seg: 74.1957, loss: 0.2573 2023-01-30 04:36:27,023 - mmseg - INFO - Saving checkpoint at 95000 iterations 2023-01-30 04:36:37,701 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 04:36:37,707 - mmseg - INFO - Iter [95000/160000] lr: 2.438e-05, eta: 7:29:40, time: 0.603, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1903, decode.acc_seg: 73.4355, aux.loss_ce: 0.0860, aux.acc_seg: 72.8561, loss: 0.2763 2023-01-30 04:36:57,678 - mmseg - INFO - Iter [95050/160000] lr: 2.436e-05, eta: 7:29:18, time: 0.402, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1731, decode.acc_seg: 74.6872, aux.loss_ce: 0.0779, aux.acc_seg: 74.0810, loss: 0.2510 2023-01-30 04:37:17,311 - mmseg - INFO - Iter [95100/160000] lr: 2.434e-05, eta: 7:28:57, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1910, decode.acc_seg: 73.6611, aux.loss_ce: 0.0848, aux.acc_seg: 73.1197, loss: 0.2758 2023-01-30 04:37:37,064 - mmseg - INFO - Iter [95150/160000] lr: 2.432e-05, eta: 7:28:36, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1873, decode.acc_seg: 74.7816, aux.loss_ce: 0.0839, aux.acc_seg: 74.2139, loss: 0.2712 2023-01-30 04:37:57,008 - mmseg - INFO - Iter [95200/160000] lr: 2.430e-05, eta: 7:28:14, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1892, decode.acc_seg: 74.8824, aux.loss_ce: 0.0854, aux.acc_seg: 74.2505, loss: 0.2746 2023-01-30 04:38:16,890 - mmseg - INFO - Iter [95250/160000] lr: 2.428e-05, eta: 7:27:53, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1924, decode.acc_seg: 74.7898, aux.loss_ce: 0.0865, aux.acc_seg: 74.1510, loss: 0.2789 2023-01-30 04:38:36,692 - mmseg - INFO - Iter [95300/160000] lr: 2.426e-05, eta: 7:27:31, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1998, decode.acc_seg: 73.8324, aux.loss_ce: 0.0885, aux.acc_seg: 73.2503, loss: 0.2883 2023-01-30 04:38:56,498 - mmseg - INFO - Iter [95350/160000] lr: 2.424e-05, eta: 7:27:10, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1778, decode.acc_seg: 75.3720, aux.loss_ce: 0.0796, aux.acc_seg: 74.8567, loss: 0.2574 2023-01-30 04:39:16,372 - mmseg - INFO - Iter [95400/160000] lr: 2.423e-05, eta: 7:26:49, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1952, decode.acc_seg: 73.9039, aux.loss_ce: 0.0877, aux.acc_seg: 73.1875, loss: 0.2829 2023-01-30 04:39:36,071 - mmseg - INFO - Iter [95450/160000] lr: 2.421e-05, eta: 7:26:27, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1927, decode.acc_seg: 75.5737, aux.loss_ce: 0.0864, aux.acc_seg: 75.0017, loss: 0.2792 2023-01-30 04:39:55,989 - mmseg - INFO - Iter [95500/160000] lr: 2.419e-05, eta: 7:26:06, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1830, decode.acc_seg: 73.3246, aux.loss_ce: 0.0826, aux.acc_seg: 72.6690, loss: 0.2656 2023-01-30 04:40:15,745 - mmseg - INFO - Iter [95550/160000] lr: 2.417e-05, eta: 7:25:45, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1931, decode.acc_seg: 74.4823, aux.loss_ce: 0.0861, aux.acc_seg: 73.8522, loss: 0.2793 2023-01-30 04:40:35,412 - mmseg - INFO - Iter [95600/160000] lr: 2.415e-05, eta: 7:25:23, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1868, decode.acc_seg: 75.3869, aux.loss_ce: 0.0831, aux.acc_seg: 74.8504, loss: 0.2699 2023-01-30 04:40:55,352 - mmseg - INFO - Iter [95650/160000] lr: 2.413e-05, eta: 7:25:02, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1875, decode.acc_seg: 75.4231, aux.loss_ce: 0.0842, aux.acc_seg: 74.8115, loss: 0.2717 2023-01-30 04:41:15,156 - mmseg - INFO - Iter [95700/160000] lr: 2.411e-05, eta: 7:24:40, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.2018, decode.acc_seg: 74.3853, aux.loss_ce: 0.0900, aux.acc_seg: 73.7220, loss: 0.2919 2023-01-30 04:41:34,800 - mmseg - INFO - Iter [95750/160000] lr: 2.409e-05, eta: 7:24:19, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1911, decode.acc_seg: 74.1639, aux.loss_ce: 0.0849, aux.acc_seg: 73.6440, loss: 0.2761 2023-01-30 04:41:54,598 - mmseg - INFO - Iter [95800/160000] lr: 2.408e-05, eta: 7:23:58, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1903, decode.acc_seg: 74.6864, aux.loss_ce: 0.0851, aux.acc_seg: 74.0894, loss: 0.2754 2023-01-30 04:42:14,127 - mmseg - INFO - Iter [95850/160000] lr: 2.406e-05, eta: 7:23:36, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1844, decode.acc_seg: 74.3274, aux.loss_ce: 0.0834, aux.acc_seg: 73.6039, loss: 0.2679 2023-01-30 04:42:33,779 - mmseg - INFO - Iter [95900/160000] lr: 2.404e-05, eta: 7:23:14, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1866, decode.acc_seg: 73.7395, aux.loss_ce: 0.0841, aux.acc_seg: 73.0873, loss: 0.2708 2023-01-30 04:42:53,737 - mmseg - INFO - Iter [95950/160000] lr: 2.402e-05, eta: 7:22:53, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1849, decode.acc_seg: 75.1154, aux.loss_ce: 0.0827, aux.acc_seg: 74.5725, loss: 0.2675 2023-01-30 04:43:16,339 - mmseg - INFO - Saving checkpoint at 96000 iterations 2023-01-30 04:43:27,631 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 04:43:27,632 - mmseg - INFO - Iter [96000/160000] lr: 2.400e-05, eta: 7:22:41, time: 0.678, data_time: 0.053, memory: 12319, decode.loss_ce: 0.1817, decode.acc_seg: 73.9106, aux.loss_ce: 0.0820, aux.acc_seg: 73.3014, loss: 0.2636 2023-01-30 04:43:57,043 - mmseg - INFO - per class results: 2023-01-30 04:43:57,050 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 79.77 | 88.62 | | building | 84.1 | 93.35 | | sky | 94.73 | 97.42 | | floor | 83.51 | 92.03 | | tree | 76.4 | 88.95 | | ceiling | 85.59 | 93.56 | | road | 84.33 | 91.12 | | bed | 92.2 | 96.68 | | windowpane | 63.72 | 75.82 | | grass | 67.46 | 83.95 | | cabinet | 60.47 | 71.69 | | sidewalk | 68.72 | 83.4 | | person | 84.1 | 93.5 | | earth | 39.51 | 51.9 | | door | 54.65 | 70.68 | | table | 68.28 | 79.81 | | mountain | 53.94 | 66.4 | | plant | 54.43 | 65.41 | | curtain | 76.74 | 89.17 | | chair | 62.6 | 75.42 | | car | 85.95 | 92.93 | | water | 63.85 | 79.9 | | painting | 75.08 | 90.07 | | sofa | 70.13 | 81.37 | | shelf | 46.88 | 64.65 | | house | 48.83 | 60.9 | | sea | 71.43 | 84.94 | | mirror | 72.35 | 80.52 | | rug | 65.66 | 77.16 | | field | 29.61 | 47.8 | | armchair | 50.1 | 74.16 | | seat | 68.82 | 86.77 | | fence | 51.4 | 67.86 | | desk | 60.72 | 75.75 | | rock | 52.38 | 78.94 | | wardrobe | 48.35 | 67.73 | | lamp | 66.51 | 79.23 | | bathtub | 83.94 | 87.33 | | railing | 40.72 | 56.3 | | cushion | 62.53 | 71.9 | | base | 41.16 | 62.8 | | box | 32.24 | 39.25 | | column | 48.03 | 58.96 | | signboard | 39.16 | 51.49 | | chest of drawers | 36.12 | 61.19 | | counter | 30.38 | 35.92 | | sand | 55.54 | 76.57 | | sink | 77.22 | 86.26 | | skyscraper | 48.08 | 61.95 | | fireplace | 70.85 | 94.73 | | refrigerator | 85.28 | 93.57 | | grandstand | 46.61 | 83.01 | | path | 27.06 | 41.85 | | stairs | 31.02 | 36.21 | | runway | 69.91 | 93.02 | | case | 58.18 | 76.6 | | pool table | 93.64 | 98.15 | | pillow | 66.66 | 80.98 | | screen door | 80.28 | 87.67 | | stairway | 38.29 | 54.85 | | river | 15.64 | 29.96 | | bridge | 78.22 | 88.32 | | bookcase | 39.58 | 69.64 | | blind | 46.21 | 57.33 | | coffee table | 65.85 | 82.25 | | toilet | 87.93 | 91.84 | | flower | 37.89 | 49.42 | | book | 42.84 | 55.45 | | hill | 8.18 | 11.06 | | bench | 52.23 | 57.28 | | countertop | 61.14 | 81.5 | | stove | 82.81 | 89.46 | | palm | 53.41 | 78.18 | | kitchen island | 43.33 | 78.53 | | computer | 78.91 | 90.8 | | swivel chair | 45.98 | 66.4 | | boat | 68.0 | 79.97 | | bar | 43.61 | 63.4 | | arcade machine | 77.08 | 85.8 | | hovel | 43.69 | 63.9 | | bus | 92.86 | 96.68 | | towel | 70.85 | 86.02 | | light | 58.99 | 69.45 | | truck | 40.98 | 53.23 | | tower | 22.99 | 39.63 | | chandelier | 69.6 | 84.14 | | awning | 34.7 | 42.17 | | streetlight | 33.73 | 45.48 | | booth | 47.65 | 54.32 | | television receiver | 76.68 | 87.83 | | airplane | 67.51 | 72.83 | | dirt track | 3.78 | 19.29 | | apparel | 43.91 | 56.79 | | pole | 25.62 | 34.75 | | land | 4.4 | 5.84 | | bannister | 14.95 | 19.14 | | escalator | 51.8 | 71.47 | | ottoman | 52.36 | 69.22 | | bottle | 43.83 | 68.75 | | buffet | 53.34 | 70.91 | | poster | 30.0 | 36.95 | | stage | 22.19 | 38.15 | | van | 48.31 | 67.86 | | ship | 16.68 | 23.6 | | fountain | 23.39 | 23.73 | | conveyer belt | 80.79 | 92.72 | | canopy | 44.45 | 68.28 | | washer | 83.89 | 89.1 | | plaything | 35.27 | 43.66 | | swimming pool | 61.06 | 84.31 | | stool | 46.01 | 59.48 | | barrel | 67.97 | 82.71 | | basket | 39.46 | 56.13 | | waterfall | 56.03 | 66.82 | | tent | 87.26 | 98.14 | | bag | 17.89 | 21.66 | | minibike | 73.64 | 87.2 | | cradle | 82.96 | 97.45 | | oven | 51.89 | 65.8 | | ball | 52.19 | 59.26 | | food | 48.35 | 54.41 | | step | 8.39 | 10.3 | | tank | 64.66 | 66.45 | | trade name | 20.49 | 22.02 | | microwave | 84.64 | 94.91 | | pot | 49.96 | 57.22 | | animal | 61.01 | 62.63 | | bicycle | 55.67 | 73.72 | | lake | 56.29 | 63.73 | | dishwasher | 72.49 | 83.51 | | screen | 56.18 | 91.91 | | blanket | 26.72 | 31.88 | | sculpture | 74.18 | 85.78 | | hood | 60.97 | 70.15 | | sconce | 52.39 | 61.7 | | vase | 46.52 | 62.81 | | traffic light | 36.83 | 59.04 | | tray | 12.85 | 20.0 | | ashcan | 48.21 | 65.68 | | fan | 67.5 | 79.11 | | pier | 30.54 | 42.59 | | crt screen | 7.76 | 13.6 | | plate | 57.72 | 72.0 | | monitor | 42.13 | 52.7 | | bulletin board | 47.97 | 57.55 | | shower | 10.35 | 10.66 | | radiator | 70.22 | 80.44 | | glass | 18.2 | 19.5 | | clock | 47.94 | 58.53 | | flag | 63.4 | 69.08 | +---------------------+-------+-------+ 2023-01-30 04:43:57,050 - mmseg - INFO - Summary: 2023-01-30 04:43:57,050 - mmseg - INFO - +------+-------+------+ | aAcc | mIoU | mAcc | +------+-------+------+ | 84.8 | 54.21 | 66.7 | +------+-------+------+ 2023-01-30 04:43:57,056 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 04:43:57,056 - mmseg - INFO - Iter(val) [250] aAcc: 0.8480, mIoU: 0.5421, mAcc: 0.6670, IoU.wall: 0.7977, IoU.building: 0.8410, IoU.sky: 0.9473, IoU.floor: 0.8351, IoU.tree: 0.7640, IoU.ceiling: 0.8559, IoU.road: 0.8433, IoU.bed : 0.9220, IoU.windowpane: 0.6372, IoU.grass: 0.6746, IoU.cabinet: 0.6047, IoU.sidewalk: 0.6872, IoU.person: 0.8410, IoU.earth: 0.3951, IoU.door: 0.5465, IoU.table: 0.6828, IoU.mountain: 0.5394, IoU.plant: 0.5443, IoU.curtain: 0.7674, IoU.chair: 0.6260, IoU.car: 0.8595, IoU.water: 0.6385, IoU.painting: 0.7508, IoU.sofa: 0.7013, IoU.shelf: 0.4688, IoU.house: 0.4883, IoU.sea: 0.7143, IoU.mirror: 0.7235, IoU.rug: 0.6566, IoU.field: 0.2961, IoU.armchair: 0.5010, IoU.seat: 0.6882, IoU.fence: 0.5140, IoU.desk: 0.6072, IoU.rock: 0.5238, IoU.wardrobe: 0.4835, IoU.lamp: 0.6651, IoU.bathtub: 0.8394, IoU.railing: 0.4072, IoU.cushion: 0.6253, IoU.base: 0.4116, IoU.box: 0.3224, IoU.column: 0.4803, IoU.signboard: 0.3916, IoU.chest of drawers: 0.3612, IoU.counter: 0.3038, IoU.sand: 0.5554, IoU.sink: 0.7722, IoU.skyscraper: 0.4808, IoU.fireplace: 0.7085, IoU.refrigerator: 0.8528, IoU.grandstand: 0.4661, IoU.path: 0.2706, IoU.stairs: 0.3102, IoU.runway: 0.6991, IoU.case: 0.5818, IoU.pool table: 0.9364, IoU.pillow: 0.6666, IoU.screen door: 0.8028, IoU.stairway: 0.3829, IoU.river: 0.1564, IoU.bridge: 0.7822, IoU.bookcase: 0.3958, IoU.blind: 0.4621, IoU.coffee table: 0.6585, IoU.toilet: 0.8793, IoU.flower: 0.3789, IoU.book: 0.4284, IoU.hill: 0.0818, IoU.bench: 0.5223, IoU.countertop: 0.6114, IoU.stove: 0.8281, IoU.palm: 0.5341, IoU.kitchen island: 0.4333, IoU.computer: 0.7891, IoU.swivel chair: 0.4598, IoU.boat: 0.6800, IoU.bar: 0.4361, IoU.arcade machine: 0.7708, IoU.hovel: 0.4369, IoU.bus: 0.9286, IoU.towel: 0.7085, IoU.light: 0.5899, IoU.truck: 0.4098, IoU.tower: 0.2299, IoU.chandelier: 0.6960, IoU.awning: 0.3470, IoU.streetlight: 0.3373, IoU.booth: 0.4765, IoU.television receiver: 0.7668, IoU.airplane: 0.6751, IoU.dirt track: 0.0378, IoU.apparel: 0.4391, IoU.pole: 0.2562, IoU.land: 0.0440, IoU.bannister: 0.1495, IoU.escalator: 0.5180, IoU.ottoman: 0.5236, IoU.bottle: 0.4383, IoU.buffet: 0.5334, IoU.poster: 0.3000, IoU.stage: 0.2219, IoU.van: 0.4831, IoU.ship: 0.1668, IoU.fountain: 0.2339, IoU.conveyer belt: 0.8079, IoU.canopy: 0.4445, IoU.washer: 0.8389, IoU.plaything: 0.3527, IoU.swimming pool: 0.6106, IoU.stool: 0.4601, IoU.barrel: 0.6797, IoU.basket: 0.3946, IoU.waterfall: 0.5603, IoU.tent: 0.8726, IoU.bag: 0.1789, IoU.minibike: 0.7364, IoU.cradle: 0.8296, IoU.oven: 0.5189, IoU.ball: 0.5219, IoU.food: 0.4835, IoU.step: 0.0839, IoU.tank: 0.6466, IoU.trade name: 0.2049, IoU.microwave: 0.8464, IoU.pot: 0.4996, IoU.animal: 0.6101, IoU.bicycle: 0.5567, IoU.lake: 0.5629, IoU.dishwasher: 0.7249, IoU.screen: 0.5618, IoU.blanket: 0.2672, IoU.sculpture: 0.7418, IoU.hood: 0.6097, IoU.sconce: 0.5239, IoU.vase: 0.4652, IoU.traffic light: 0.3683, IoU.tray: 0.1285, IoU.ashcan: 0.4821, IoU.fan: 0.6750, IoU.pier: 0.3054, IoU.crt screen: 0.0776, IoU.plate: 0.5772, IoU.monitor: 0.4213, IoU.bulletin board: 0.4797, IoU.shower: 0.1035, IoU.radiator: 0.7022, IoU.glass: 0.1820, IoU.clock: 0.4794, IoU.flag: 0.6340, Acc.wall: 0.8862, Acc.building: 0.9335, Acc.sky: 0.9742, Acc.floor: 0.9203, Acc.tree: 0.8895, Acc.ceiling: 0.9356, Acc.road: 0.9112, Acc.bed : 0.9668, Acc.windowpane: 0.7582, Acc.grass: 0.8395, Acc.cabinet: 0.7169, Acc.sidewalk: 0.8340, Acc.person: 0.9350, Acc.earth: 0.5190, Acc.door: 0.7068, Acc.table: 0.7981, Acc.mountain: 0.6640, Acc.plant: 0.6541, Acc.curtain: 0.8917, Acc.chair: 0.7542, Acc.car: 0.9293, Acc.water: 0.7990, Acc.painting: 0.9007, Acc.sofa: 0.8137, Acc.shelf: 0.6465, Acc.house: 0.6090, Acc.sea: 0.8494, Acc.mirror: 0.8052, Acc.rug: 0.7716, Acc.field: 0.4780, Acc.armchair: 0.7416, Acc.seat: 0.8677, Acc.fence: 0.6786, Acc.desk: 0.7575, Acc.rock: 0.7894, Acc.wardrobe: 0.6773, Acc.lamp: 0.7923, Acc.bathtub: 0.8733, Acc.railing: 0.5630, Acc.cushion: 0.7190, Acc.base: 0.6280, Acc.box: 0.3925, Acc.column: 0.5896, Acc.signboard: 0.5149, Acc.chest of drawers: 0.6119, Acc.counter: 0.3592, Acc.sand: 0.7657, Acc.sink: 0.8626, Acc.skyscraper: 0.6195, Acc.fireplace: 0.9473, Acc.refrigerator: 0.9357, Acc.grandstand: 0.8301, Acc.path: 0.4185, Acc.stairs: 0.3621, Acc.runway: 0.9302, Acc.case: 0.7660, Acc.pool table: 0.9815, Acc.pillow: 0.8098, Acc.screen door: 0.8767, Acc.stairway: 0.5485, Acc.river: 0.2996, Acc.bridge: 0.8832, Acc.bookcase: 0.6964, Acc.blind: 0.5733, Acc.coffee table: 0.8225, Acc.toilet: 0.9184, Acc.flower: 0.4942, Acc.book: 0.5545, Acc.hill: 0.1106, Acc.bench: 0.5728, Acc.countertop: 0.8150, Acc.stove: 0.8946, Acc.palm: 0.7818, Acc.kitchen island: 0.7853, Acc.computer: 0.9080, Acc.swivel chair: 0.6640, Acc.boat: 0.7997, Acc.bar: 0.6340, Acc.arcade machine: 0.8580, Acc.hovel: 0.6390, Acc.bus: 0.9668, Acc.towel: 0.8602, Acc.light: 0.6945, Acc.truck: 0.5323, Acc.tower: 0.3963, Acc.chandelier: 0.8414, Acc.awning: 0.4217, Acc.streetlight: 0.4548, Acc.booth: 0.5432, Acc.television receiver: 0.8783, Acc.airplane: 0.7283, Acc.dirt track: 0.1929, Acc.apparel: 0.5679, Acc.pole: 0.3475, Acc.land: 0.0584, Acc.bannister: 0.1914, Acc.escalator: 0.7147, Acc.ottoman: 0.6922, Acc.bottle: 0.6875, Acc.buffet: 0.7091, Acc.poster: 0.3695, Acc.stage: 0.3815, Acc.van: 0.6786, Acc.ship: 0.2360, Acc.fountain: 0.2373, Acc.conveyer belt: 0.9272, Acc.canopy: 0.6828, Acc.washer: 0.8910, Acc.plaything: 0.4366, Acc.swimming pool: 0.8431, Acc.stool: 0.5948, Acc.barrel: 0.8271, Acc.basket: 0.5613, Acc.waterfall: 0.6682, Acc.tent: 0.9814, Acc.bag: 0.2166, Acc.minibike: 0.8720, Acc.cradle: 0.9745, Acc.oven: 0.6580, Acc.ball: 0.5926, Acc.food: 0.5441, Acc.step: 0.1030, Acc.tank: 0.6645, Acc.trade name: 0.2202, Acc.microwave: 0.9491, Acc.pot: 0.5722, Acc.animal: 0.6263, Acc.bicycle: 0.7372, Acc.lake: 0.6373, Acc.dishwasher: 0.8351, Acc.screen: 0.9191, Acc.blanket: 0.3188, Acc.sculpture: 0.8578, Acc.hood: 0.7015, Acc.sconce: 0.6170, Acc.vase: 0.6281, Acc.traffic light: 0.5904, Acc.tray: 0.2000, Acc.ashcan: 0.6568, Acc.fan: 0.7911, Acc.pier: 0.4259, Acc.crt screen: 0.1360, Acc.plate: 0.7200, Acc.monitor: 0.5270, Acc.bulletin board: 0.5755, Acc.shower: 0.1066, Acc.radiator: 0.8044, Acc.glass: 0.1950, Acc.clock: 0.5853, Acc.flag: 0.6908 2023-01-30 04:44:16,705 - mmseg - INFO - Iter [96050/160000] lr: 2.398e-05, eta: 7:22:39, time: 0.982, data_time: 0.592, memory: 12319, decode.loss_ce: 0.1727, decode.acc_seg: 74.7614, aux.loss_ce: 0.0785, aux.acc_seg: 74.1132, loss: 0.2513 2023-01-30 04:44:36,423 - mmseg - INFO - Iter [96100/160000] lr: 2.396e-05, eta: 7:22:18, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2019, decode.acc_seg: 74.4298, aux.loss_ce: 0.0913, aux.acc_seg: 73.7392, loss: 0.2933 2023-01-30 04:44:56,345 - mmseg - INFO - Iter [96150/160000] lr: 2.394e-05, eta: 7:21:57, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1846, decode.acc_seg: 74.6688, aux.loss_ce: 0.0840, aux.acc_seg: 73.9128, loss: 0.2686 2023-01-30 04:45:16,189 - mmseg - INFO - Iter [96200/160000] lr: 2.393e-05, eta: 7:21:35, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1774, decode.acc_seg: 74.6010, aux.loss_ce: 0.0809, aux.acc_seg: 73.8530, loss: 0.2583 2023-01-30 04:45:35,694 - mmseg - INFO - Iter [96250/160000] lr: 2.391e-05, eta: 7:21:14, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1782, decode.acc_seg: 74.8527, aux.loss_ce: 0.0811, aux.acc_seg: 74.1109, loss: 0.2593 2023-01-30 04:45:55,524 - mmseg - INFO - Iter [96300/160000] lr: 2.389e-05, eta: 7:20:52, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1743, decode.acc_seg: 74.8100, aux.loss_ce: 0.0790, aux.acc_seg: 74.1383, loss: 0.2534 2023-01-30 04:46:15,347 - mmseg - INFO - Iter [96350/160000] lr: 2.387e-05, eta: 7:20:31, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1856, decode.acc_seg: 74.2478, aux.loss_ce: 0.0815, aux.acc_seg: 73.7600, loss: 0.2671 2023-01-30 04:46:35,005 - mmseg - INFO - Iter [96400/160000] lr: 2.385e-05, eta: 7:20:09, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1889, decode.acc_seg: 74.0435, aux.loss_ce: 0.0841, aux.acc_seg: 73.5132, loss: 0.2730 2023-01-30 04:46:54,838 - mmseg - INFO - Iter [96450/160000] lr: 2.383e-05, eta: 7:19:48, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1834, decode.acc_seg: 73.5031, aux.loss_ce: 0.0822, aux.acc_seg: 72.9373, loss: 0.2656 2023-01-30 04:47:14,119 - mmseg - INFO - Iter [96500/160000] lr: 2.381e-05, eta: 7:19:26, time: 0.386, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1887, decode.acc_seg: 73.7580, aux.loss_ce: 0.0853, aux.acc_seg: 73.1597, loss: 0.2740 2023-01-30 04:47:33,637 - mmseg - INFO - Iter [96550/160000] lr: 2.379e-05, eta: 7:19:05, time: 0.390, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1824, decode.acc_seg: 74.7835, aux.loss_ce: 0.0803, aux.acc_seg: 74.2983, loss: 0.2627 2023-01-30 04:47:53,116 - mmseg - INFO - Iter [96600/160000] lr: 2.378e-05, eta: 7:18:43, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1843, decode.acc_seg: 74.5080, aux.loss_ce: 0.0838, aux.acc_seg: 73.7939, loss: 0.2681 2023-01-30 04:48:12,786 - mmseg - INFO - Iter [96650/160000] lr: 2.376e-05, eta: 7:18:22, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1928, decode.acc_seg: 74.7310, aux.loss_ce: 0.0867, aux.acc_seg: 74.0565, loss: 0.2795 2023-01-30 04:48:32,531 - mmseg - INFO - Iter [96700/160000] lr: 2.374e-05, eta: 7:18:00, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1836, decode.acc_seg: 74.3305, aux.loss_ce: 0.0829, aux.acc_seg: 73.6931, loss: 0.2664 2023-01-30 04:48:52,113 - mmseg - INFO - Iter [96750/160000] lr: 2.372e-05, eta: 7:17:39, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1901, decode.acc_seg: 73.5950, aux.loss_ce: 0.0844, aux.acc_seg: 72.9982, loss: 0.2745 2023-01-30 04:49:12,001 - mmseg - INFO - Iter [96800/160000] lr: 2.370e-05, eta: 7:17:17, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1758, decode.acc_seg: 74.8347, aux.loss_ce: 0.0792, aux.acc_seg: 74.2035, loss: 0.2550 2023-01-30 04:49:31,803 - mmseg - INFO - Iter [96850/160000] lr: 2.368e-05, eta: 7:16:56, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1815, decode.acc_seg: 74.0782, aux.loss_ce: 0.0806, aux.acc_seg: 73.5027, loss: 0.2622 2023-01-30 04:49:51,498 - mmseg - INFO - Iter [96900/160000] lr: 2.366e-05, eta: 7:16:34, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1935, decode.acc_seg: 73.7637, aux.loss_ce: 0.0872, aux.acc_seg: 73.1285, loss: 0.2807 2023-01-30 04:50:11,269 - mmseg - INFO - Iter [96950/160000] lr: 2.364e-05, eta: 7:16:13, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1824, decode.acc_seg: 75.9037, aux.loss_ce: 0.0820, aux.acc_seg: 75.3173, loss: 0.2643 2023-01-30 04:50:30,978 - mmseg - INFO - Saving checkpoint at 97000 iterations 2023-01-30 04:50:41,629 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 04:50:41,629 - mmseg - INFO - Iter [97000/160000] lr: 2.363e-05, eta: 7:15:59, time: 0.607, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1868, decode.acc_seg: 75.3758, aux.loss_ce: 0.0848, aux.acc_seg: 74.7183, loss: 0.2716 2023-01-30 04:51:01,397 - mmseg - INFO - Iter [97050/160000] lr: 2.361e-05, eta: 7:15:37, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2086, decode.acc_seg: 73.3378, aux.loss_ce: 0.0915, aux.acc_seg: 72.6361, loss: 0.3001 2023-01-30 04:51:21,245 - mmseg - INFO - Iter [97100/160000] lr: 2.359e-05, eta: 7:15:16, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1923, decode.acc_seg: 74.0414, aux.loss_ce: 0.0868, aux.acc_seg: 73.4566, loss: 0.2791 2023-01-30 04:51:40,901 - mmseg - INFO - Iter [97150/160000] lr: 2.357e-05, eta: 7:14:54, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1820, decode.acc_seg: 74.9607, aux.loss_ce: 0.0805, aux.acc_seg: 74.4686, loss: 0.2624 2023-01-30 04:52:00,566 - mmseg - INFO - Iter [97200/160000] lr: 2.355e-05, eta: 7:14:33, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1790, decode.acc_seg: 74.9763, aux.loss_ce: 0.0802, aux.acc_seg: 74.4189, loss: 0.2592 2023-01-30 04:52:19,941 - mmseg - INFO - Iter [97250/160000] lr: 2.353e-05, eta: 7:14:11, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1935, decode.acc_seg: 76.6632, aux.loss_ce: 0.0859, aux.acc_seg: 76.1351, loss: 0.2794 2023-01-30 04:52:42,338 - mmseg - INFO - Iter [97300/160000] lr: 2.351e-05, eta: 7:13:51, time: 0.448, data_time: 0.048, memory: 12319, decode.loss_ce: 0.1800, decode.acc_seg: 75.0684, aux.loss_ce: 0.0810, aux.acc_seg: 74.5011, loss: 0.2611 2023-01-30 04:53:01,935 - mmseg - INFO - Iter [97350/160000] lr: 2.349e-05, eta: 7:13:30, time: 0.392, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1820, decode.acc_seg: 74.8141, aux.loss_ce: 0.0830, aux.acc_seg: 74.1369, loss: 0.2650 2023-01-30 04:53:21,461 - mmseg - INFO - Iter [97400/160000] lr: 2.348e-05, eta: 7:13:08, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1870, decode.acc_seg: 73.4534, aux.loss_ce: 0.0852, aux.acc_seg: 72.7481, loss: 0.2722 2023-01-30 04:53:41,040 - mmseg - INFO - Iter [97450/160000] lr: 2.346e-05, eta: 7:12:47, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1814, decode.acc_seg: 74.4123, aux.loss_ce: 0.0825, aux.acc_seg: 73.7353, loss: 0.2639 2023-01-30 04:54:00,573 - mmseg - INFO - Iter [97500/160000] lr: 2.344e-05, eta: 7:12:25, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1755, decode.acc_seg: 75.8045, aux.loss_ce: 0.0801, aux.acc_seg: 75.1562, loss: 0.2556 2023-01-30 04:54:20,228 - mmseg - INFO - Iter [97550/160000] lr: 2.342e-05, eta: 7:12:04, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1944, decode.acc_seg: 74.2608, aux.loss_ce: 0.0872, aux.acc_seg: 73.6166, loss: 0.2817 2023-01-30 04:54:39,933 - mmseg - INFO - Iter [97600/160000] lr: 2.340e-05, eta: 7:11:42, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1811, decode.acc_seg: 75.1552, aux.loss_ce: 0.0820, aux.acc_seg: 74.5183, loss: 0.2631 2023-01-30 04:54:59,387 - mmseg - INFO - Iter [97650/160000] lr: 2.338e-05, eta: 7:11:21, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1778, decode.acc_seg: 74.6599, aux.loss_ce: 0.0811, aux.acc_seg: 74.0002, loss: 0.2590 2023-01-30 04:55:18,957 - mmseg - INFO - Iter [97700/160000] lr: 2.336e-05, eta: 7:10:59, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1756, decode.acc_seg: 75.5787, aux.loss_ce: 0.0788, aux.acc_seg: 75.0301, loss: 0.2545 2023-01-30 04:55:38,437 - mmseg - INFO - Iter [97750/160000] lr: 2.334e-05, eta: 7:10:38, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1886, decode.acc_seg: 75.9073, aux.loss_ce: 0.0851, aux.acc_seg: 75.2711, loss: 0.2737 2023-01-30 04:55:58,215 - mmseg - INFO - Iter [97800/160000] lr: 2.333e-05, eta: 7:10:16, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1914, decode.acc_seg: 74.8630, aux.loss_ce: 0.0861, aux.acc_seg: 74.2978, loss: 0.2775 2023-01-30 04:56:17,999 - mmseg - INFO - Iter [97850/160000] lr: 2.331e-05, eta: 7:09:55, time: 0.393, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1833, decode.acc_seg: 73.8862, aux.loss_ce: 0.0822, aux.acc_seg: 73.3671, loss: 0.2655 2023-01-30 04:56:38,048 - mmseg - INFO - Iter [97900/160000] lr: 2.329e-05, eta: 7:09:34, time: 0.401, data_time: 0.007, memory: 12319, decode.loss_ce: 0.1714, decode.acc_seg: 74.6779, aux.loss_ce: 0.0782, aux.acc_seg: 74.0064, loss: 0.2496 2023-01-30 04:56:57,895 - mmseg - INFO - Iter [97950/160000] lr: 2.327e-05, eta: 7:09:12, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1880, decode.acc_seg: 75.0052, aux.loss_ce: 0.0850, aux.acc_seg: 74.3124, loss: 0.2730 2023-01-30 04:57:17,336 - mmseg - INFO - Saving checkpoint at 98000 iterations 2023-01-30 04:57:27,896 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 04:57:27,896 - mmseg - INFO - Iter [98000/160000] lr: 2.325e-05, eta: 7:08:58, time: 0.601, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1851, decode.acc_seg: 74.2738, aux.loss_ce: 0.0830, aux.acc_seg: 73.7827, loss: 0.2681 2023-01-30 04:57:48,260 - mmseg - INFO - Iter [98050/160000] lr: 2.323e-05, eta: 7:08:37, time: 0.408, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1862, decode.acc_seg: 75.0463, aux.loss_ce: 0.0837, aux.acc_seg: 74.4076, loss: 0.2699 2023-01-30 04:58:08,286 - mmseg - INFO - Iter [98100/160000] lr: 2.321e-05, eta: 7:08:15, time: 0.401, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1708, decode.acc_seg: 74.4496, aux.loss_ce: 0.0769, aux.acc_seg: 73.8406, loss: 0.2477 2023-01-30 04:58:28,205 - mmseg - INFO - Iter [98150/160000] lr: 2.319e-05, eta: 7:07:54, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1781, decode.acc_seg: 74.6919, aux.loss_ce: 0.0804, aux.acc_seg: 74.0534, loss: 0.2585 2023-01-30 04:58:48,093 - mmseg - INFO - Iter [98200/160000] lr: 2.318e-05, eta: 7:07:33, time: 0.398, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1972, decode.acc_seg: 74.1558, aux.loss_ce: 0.0881, aux.acc_seg: 73.5110, loss: 0.2853 2023-01-30 04:59:07,965 - mmseg - INFO - Iter [98250/160000] lr: 2.316e-05, eta: 7:07:12, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1807, decode.acc_seg: 75.0396, aux.loss_ce: 0.0823, aux.acc_seg: 74.3179, loss: 0.2630 2023-01-30 04:59:27,907 - mmseg - INFO - Iter [98300/160000] lr: 2.314e-05, eta: 7:06:50, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1688, decode.acc_seg: 74.2497, aux.loss_ce: 0.0759, aux.acc_seg: 73.6400, loss: 0.2447 2023-01-30 04:59:47,566 - mmseg - INFO - Iter [98350/160000] lr: 2.312e-05, eta: 7:06:29, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1862, decode.acc_seg: 75.0485, aux.loss_ce: 0.0835, aux.acc_seg: 74.3653, loss: 0.2697 2023-01-30 05:00:07,330 - mmseg - INFO - Iter [98400/160000] lr: 2.310e-05, eta: 7:06:07, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1797, decode.acc_seg: 74.4264, aux.loss_ce: 0.0813, aux.acc_seg: 73.7957, loss: 0.2610 2023-01-30 05:00:27,000 - mmseg - INFO - Iter [98450/160000] lr: 2.308e-05, eta: 7:05:46, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1834, decode.acc_seg: 75.0871, aux.loss_ce: 0.0826, aux.acc_seg: 74.4247, loss: 0.2660 2023-01-30 05:00:46,810 - mmseg - INFO - Iter [98500/160000] lr: 2.306e-05, eta: 7:05:25, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1870, decode.acc_seg: 73.8096, aux.loss_ce: 0.0849, aux.acc_seg: 73.1701, loss: 0.2719 2023-01-30 05:01:09,059 - mmseg - INFO - Iter [98550/160000] lr: 2.304e-05, eta: 7:05:05, time: 0.445, data_time: 0.050, memory: 12319, decode.loss_ce: 0.1809, decode.acc_seg: 75.1370, aux.loss_ce: 0.0820, aux.acc_seg: 74.5209, loss: 0.2629 2023-01-30 05:01:28,591 - mmseg - INFO - Iter [98600/160000] lr: 2.303e-05, eta: 7:04:43, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1911, decode.acc_seg: 75.5256, aux.loss_ce: 0.0860, aux.acc_seg: 74.8275, loss: 0.2772 2023-01-30 05:01:48,419 - mmseg - INFO - Iter [98650/160000] lr: 2.301e-05, eta: 7:04:22, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1723, decode.acc_seg: 74.5418, aux.loss_ce: 0.0775, aux.acc_seg: 73.9286, loss: 0.2498 2023-01-30 05:02:08,129 - mmseg - INFO - Iter [98700/160000] lr: 2.299e-05, eta: 7:04:01, time: 0.396, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1827, decode.acc_seg: 74.6750, aux.loss_ce: 0.0823, aux.acc_seg: 74.0733, loss: 0.2650 2023-01-30 05:02:28,150 - mmseg - INFO - Iter [98750/160000] lr: 2.297e-05, eta: 7:03:39, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1783, decode.acc_seg: 74.3589, aux.loss_ce: 0.0813, aux.acc_seg: 73.7423, loss: 0.2596 2023-01-30 05:02:48,025 - mmseg - INFO - Iter [98800/160000] lr: 2.295e-05, eta: 7:03:18, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1785, decode.acc_seg: 73.5370, aux.loss_ce: 0.0807, aux.acc_seg: 72.8813, loss: 0.2592 2023-01-30 05:03:07,819 - mmseg - INFO - Iter [98850/160000] lr: 2.293e-05, eta: 7:02:57, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1861, decode.acc_seg: 73.6359, aux.loss_ce: 0.0854, aux.acc_seg: 73.0684, loss: 0.2715 2023-01-30 05:03:27,604 - mmseg - INFO - Iter [98900/160000] lr: 2.291e-05, eta: 7:02:35, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1717, decode.acc_seg: 75.3280, aux.loss_ce: 0.0772, aux.acc_seg: 74.6944, loss: 0.2489 2023-01-30 05:03:47,332 - mmseg - INFO - Iter [98950/160000] lr: 2.289e-05, eta: 7:02:14, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1853, decode.acc_seg: 74.8191, aux.loss_ce: 0.0846, aux.acc_seg: 74.1320, loss: 0.2699 2023-01-30 05:04:07,020 - mmseg - INFO - Saving checkpoint at 99000 iterations 2023-01-30 05:04:16,877 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 05:04:16,884 - mmseg - INFO - Iter [99000/160000] lr: 2.288e-05, eta: 7:01:59, time: 0.590, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1774, decode.acc_seg: 75.3749, aux.loss_ce: 0.0808, aux.acc_seg: 74.6921, loss: 0.2582 2023-01-30 05:04:37,152 - mmseg - INFO - Iter [99050/160000] lr: 2.286e-05, eta: 7:01:38, time: 0.406, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1832, decode.acc_seg: 74.9840, aux.loss_ce: 0.0829, aux.acc_seg: 74.3778, loss: 0.2662 2023-01-30 05:04:56,797 - mmseg - INFO - Iter [99100/160000] lr: 2.284e-05, eta: 7:01:16, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1787, decode.acc_seg: 75.3002, aux.loss_ce: 0.0806, aux.acc_seg: 74.6093, loss: 0.2594 2023-01-30 05:05:16,750 - mmseg - INFO - Iter [99150/160000] lr: 2.282e-05, eta: 7:00:55, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1889, decode.acc_seg: 72.8689, aux.loss_ce: 0.0858, aux.acc_seg: 72.2330, loss: 0.2746 2023-01-30 05:05:36,366 - mmseg - INFO - Iter [99200/160000] lr: 2.280e-05, eta: 7:00:34, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1805, decode.acc_seg: 75.8555, aux.loss_ce: 0.0820, aux.acc_seg: 75.2647, loss: 0.2625 2023-01-30 05:05:56,342 - mmseg - INFO - Iter [99250/160000] lr: 2.278e-05, eta: 7:00:12, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1812, decode.acc_seg: 75.9093, aux.loss_ce: 0.0815, aux.acc_seg: 75.2873, loss: 0.2628 2023-01-30 05:06:16,102 - mmseg - INFO - Iter [99300/160000] lr: 2.276e-05, eta: 6:59:51, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1909, decode.acc_seg: 74.5205, aux.loss_ce: 0.0865, aux.acc_seg: 73.8213, loss: 0.2774 2023-01-30 05:06:35,803 - mmseg - INFO - Iter [99350/160000] lr: 2.274e-05, eta: 6:59:30, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1862, decode.acc_seg: 73.9749, aux.loss_ce: 0.0834, aux.acc_seg: 73.3355, loss: 0.2696 2023-01-30 05:06:55,502 - mmseg - INFO - Iter [99400/160000] lr: 2.273e-05, eta: 6:59:08, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1883, decode.acc_seg: 75.7782, aux.loss_ce: 0.0844, aux.acc_seg: 75.1630, loss: 0.2727 2023-01-30 05:07:15,265 - mmseg - INFO - Iter [99450/160000] lr: 2.271e-05, eta: 6:58:47, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1771, decode.acc_seg: 74.4730, aux.loss_ce: 0.0798, aux.acc_seg: 73.8754, loss: 0.2568 2023-01-30 05:07:35,166 - mmseg - INFO - Iter [99500/160000] lr: 2.269e-05, eta: 6:58:26, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1857, decode.acc_seg: 74.6191, aux.loss_ce: 0.0849, aux.acc_seg: 73.9150, loss: 0.2705 2023-01-30 05:07:55,069 - mmseg - INFO - Iter [99550/160000] lr: 2.267e-05, eta: 6:58:04, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1819, decode.acc_seg: 74.2143, aux.loss_ce: 0.0824, aux.acc_seg: 73.5718, loss: 0.2643 2023-01-30 05:08:15,279 - mmseg - INFO - Iter [99600/160000] lr: 2.265e-05, eta: 6:57:43, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1803, decode.acc_seg: 75.3371, aux.loss_ce: 0.0820, aux.acc_seg: 74.6383, loss: 0.2623 2023-01-30 05:08:35,290 - mmseg - INFO - Iter [99650/160000] lr: 2.263e-05, eta: 6:57:22, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1950, decode.acc_seg: 74.7524, aux.loss_ce: 0.0881, aux.acc_seg: 74.1290, loss: 0.2831 2023-01-30 05:08:55,135 - mmseg - INFO - Iter [99700/160000] lr: 2.261e-05, eta: 6:57:01, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1917, decode.acc_seg: 74.7376, aux.loss_ce: 0.0861, aux.acc_seg: 74.0689, loss: 0.2778 2023-01-30 05:09:15,117 - mmseg - INFO - Iter [99750/160000] lr: 2.259e-05, eta: 6:56:40, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1864, decode.acc_seg: 74.4734, aux.loss_ce: 0.0835, aux.acc_seg: 73.9256, loss: 0.2700 2023-01-30 05:09:37,245 - mmseg - INFO - Iter [99800/160000] lr: 2.258e-05, eta: 6:56:20, time: 0.440, data_time: 0.053, memory: 12319, decode.loss_ce: 0.1703, decode.acc_seg: 76.2094, aux.loss_ce: 0.0780, aux.acc_seg: 75.4204, loss: 0.2483 2023-01-30 05:09:56,773 - mmseg - INFO - Iter [99850/160000] lr: 2.256e-05, eta: 6:55:58, time: 0.391, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1778, decode.acc_seg: 73.4662, aux.loss_ce: 0.0800, aux.acc_seg: 72.8111, loss: 0.2577 2023-01-30 05:10:16,945 - mmseg - INFO - Iter [99900/160000] lr: 2.254e-05, eta: 6:55:37, time: 0.403, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1809, decode.acc_seg: 74.0887, aux.loss_ce: 0.0822, aux.acc_seg: 73.3731, loss: 0.2631 2023-01-30 05:10:36,715 - mmseg - INFO - Iter [99950/160000] lr: 2.252e-05, eta: 6:55:16, time: 0.395, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1813, decode.acc_seg: 73.7245, aux.loss_ce: 0.0823, aux.acc_seg: 73.0384, loss: 0.2636 2023-01-30 05:10:56,433 - mmseg - INFO - Saving checkpoint at 100000 iterations 2023-01-30 05:11:06,674 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 05:11:06,675 - mmseg - INFO - Iter [100000/160000] lr: 2.250e-05, eta: 6:55:00, time: 0.601, data_time: 0.007, memory: 12319, decode.loss_ce: 0.1753, decode.acc_seg: 75.8173, aux.loss_ce: 0.0790, aux.acc_seg: 75.1906, loss: 0.2543 2023-01-30 05:11:26,878 - mmseg - INFO - Iter [100050/160000] lr: 2.248e-05, eta: 6:54:39, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1739, decode.acc_seg: 73.6349, aux.loss_ce: 0.0785, aux.acc_seg: 73.1059, loss: 0.2524 2023-01-30 05:11:46,712 - mmseg - INFO - Iter [100100/160000] lr: 2.246e-05, eta: 6:54:18, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1818, decode.acc_seg: 75.2674, aux.loss_ce: 0.0831, aux.acc_seg: 74.6087, loss: 0.2648 2023-01-30 05:12:06,490 - mmseg - INFO - Iter [100150/160000] lr: 2.244e-05, eta: 6:53:57, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1804, decode.acc_seg: 74.6473, aux.loss_ce: 0.0814, aux.acc_seg: 74.1080, loss: 0.2618 2023-01-30 05:12:26,076 - mmseg - INFO - Iter [100200/160000] lr: 2.243e-05, eta: 6:53:35, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1752, decode.acc_seg: 74.6798, aux.loss_ce: 0.0796, aux.acc_seg: 74.0080, loss: 0.2548 2023-01-30 05:12:46,060 - mmseg - INFO - Iter [100250/160000] lr: 2.241e-05, eta: 6:53:14, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1847, decode.acc_seg: 73.6136, aux.loss_ce: 0.0845, aux.acc_seg: 72.9704, loss: 0.2692 2023-01-30 05:13:05,959 - mmseg - INFO - Iter [100300/160000] lr: 2.239e-05, eta: 6:52:53, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1679, decode.acc_seg: 73.5593, aux.loss_ce: 0.0764, aux.acc_seg: 72.8600, loss: 0.2443 2023-01-30 05:13:25,708 - mmseg - INFO - Iter [100350/160000] lr: 2.237e-05, eta: 6:52:32, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1766, decode.acc_seg: 74.6467, aux.loss_ce: 0.0796, aux.acc_seg: 74.0854, loss: 0.2561 2023-01-30 05:13:45,537 - mmseg - INFO - Iter [100400/160000] lr: 2.235e-05, eta: 6:52:10, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1749, decode.acc_seg: 74.7520, aux.loss_ce: 0.0798, aux.acc_seg: 74.0873, loss: 0.2546 2023-01-30 05:14:05,340 - mmseg - INFO - Iter [100450/160000] lr: 2.233e-05, eta: 6:51:49, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1845, decode.acc_seg: 74.9350, aux.loss_ce: 0.0832, aux.acc_seg: 74.2776, loss: 0.2677 2023-01-30 05:14:25,199 - mmseg - INFO - Iter [100500/160000] lr: 2.231e-05, eta: 6:51:28, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1850, decode.acc_seg: 74.5154, aux.loss_ce: 0.0843, aux.acc_seg: 73.8759, loss: 0.2693 2023-01-30 05:14:44,831 - mmseg - INFO - Iter [100550/160000] lr: 2.229e-05, eta: 6:51:06, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2031, decode.acc_seg: 73.3693, aux.loss_ce: 0.0900, aux.acc_seg: 72.8988, loss: 0.2931 2023-01-30 05:15:04,516 - mmseg - INFO - Iter [100600/160000] lr: 2.228e-05, eta: 6:50:45, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1885, decode.acc_seg: 74.9352, aux.loss_ce: 0.0854, aux.acc_seg: 74.2709, loss: 0.2739 2023-01-30 05:15:24,248 - mmseg - INFO - Iter [100650/160000] lr: 2.226e-05, eta: 6:50:24, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1621, decode.acc_seg: 73.9299, aux.loss_ce: 0.0744, aux.acc_seg: 73.3865, loss: 0.2365 2023-01-30 05:15:44,114 - mmseg - INFO - Iter [100700/160000] lr: 2.224e-05, eta: 6:50:02, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1846, decode.acc_seg: 73.4421, aux.loss_ce: 0.0821, aux.acc_seg: 72.9158, loss: 0.2666 2023-01-30 05:16:03,889 - mmseg - INFO - Iter [100750/160000] lr: 2.222e-05, eta: 6:49:41, time: 0.395, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1756, decode.acc_seg: 75.6730, aux.loss_ce: 0.0794, aux.acc_seg: 75.0592, loss: 0.2550 2023-01-30 05:16:23,665 - mmseg - INFO - Iter [100800/160000] lr: 2.220e-05, eta: 6:49:20, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1822, decode.acc_seg: 73.0010, aux.loss_ce: 0.0824, aux.acc_seg: 72.3104, loss: 0.2646 2023-01-30 05:16:43,389 - mmseg - INFO - Iter [100850/160000] lr: 2.218e-05, eta: 6:48:58, time: 0.394, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1986, decode.acc_seg: 75.8378, aux.loss_ce: 0.0907, aux.acc_seg: 75.1069, loss: 0.2893 2023-01-30 05:17:02,997 - mmseg - INFO - Iter [100900/160000] lr: 2.216e-05, eta: 6:48:37, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1916, decode.acc_seg: 74.8974, aux.loss_ce: 0.0860, aux.acc_seg: 74.2767, loss: 0.2776 2023-01-30 05:17:22,716 - mmseg - INFO - Iter [100950/160000] lr: 2.214e-05, eta: 6:48:16, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1753, decode.acc_seg: 76.0711, aux.loss_ce: 0.0789, aux.acc_seg: 75.4791, loss: 0.2542 2023-01-30 05:17:42,392 - mmseg - INFO - Saving checkpoint at 101000 iterations 2023-01-30 05:17:52,818 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 05:17:52,820 - mmseg - INFO - Iter [101000/160000] lr: 2.213e-05, eta: 6:48:00, time: 0.602, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1753, decode.acc_seg: 74.9786, aux.loss_ce: 0.0802, aux.acc_seg: 74.3276, loss: 0.2555 2023-01-30 05:18:15,235 - mmseg - INFO - Iter [101050/160000] lr: 2.211e-05, eta: 6:47:40, time: 0.446, data_time: 0.049, memory: 12319, decode.loss_ce: 0.1748, decode.acc_seg: 75.6189, aux.loss_ce: 0.0785, aux.acc_seg: 75.0344, loss: 0.2533 2023-01-30 05:18:35,060 - mmseg - INFO - Iter [101100/160000] lr: 2.209e-05, eta: 6:47:19, time: 0.399, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1900, decode.acc_seg: 74.0074, aux.loss_ce: 0.0853, aux.acc_seg: 73.3635, loss: 0.2753 2023-01-30 05:18:55,100 - mmseg - INFO - Iter [101150/160000] lr: 2.207e-05, eta: 6:46:58, time: 0.401, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1788, decode.acc_seg: 75.2583, aux.loss_ce: 0.0804, aux.acc_seg: 74.6210, loss: 0.2592 2023-01-30 05:19:14,935 - mmseg - INFO - Iter [101200/160000] lr: 2.205e-05, eta: 6:46:37, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1713, decode.acc_seg: 74.7501, aux.loss_ce: 0.0781, aux.acc_seg: 74.0572, loss: 0.2494 2023-01-30 05:19:34,641 - mmseg - INFO - Iter [101250/160000] lr: 2.203e-05, eta: 6:46:15, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1777, decode.acc_seg: 76.3160, aux.loss_ce: 0.0805, aux.acc_seg: 75.7153, loss: 0.2583 2023-01-30 05:19:54,229 - mmseg - INFO - Iter [101300/160000] lr: 2.201e-05, eta: 6:45:54, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1822, decode.acc_seg: 74.2327, aux.loss_ce: 0.0825, aux.acc_seg: 73.5586, loss: 0.2647 2023-01-30 05:20:14,227 - mmseg - INFO - Iter [101350/160000] lr: 2.199e-05, eta: 6:45:33, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1823, decode.acc_seg: 73.9040, aux.loss_ce: 0.0834, aux.acc_seg: 73.2158, loss: 0.2657 2023-01-30 05:20:34,019 - mmseg - INFO - Iter [101400/160000] lr: 2.198e-05, eta: 6:45:12, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1797, decode.acc_seg: 75.6214, aux.loss_ce: 0.0807, aux.acc_seg: 75.0253, loss: 0.2605 2023-01-30 05:20:53,431 - mmseg - INFO - Iter [101450/160000] lr: 2.196e-05, eta: 6:44:50, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1765, decode.acc_seg: 74.1241, aux.loss_ce: 0.0806, aux.acc_seg: 73.4835, loss: 0.2571 2023-01-30 05:21:13,239 - mmseg - INFO - Iter [101500/160000] lr: 2.194e-05, eta: 6:44:29, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1755, decode.acc_seg: 74.7398, aux.loss_ce: 0.0800, aux.acc_seg: 74.0456, loss: 0.2555 2023-01-30 05:21:33,241 - mmseg - INFO - Iter [101550/160000] lr: 2.192e-05, eta: 6:44:08, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1902, decode.acc_seg: 73.1114, aux.loss_ce: 0.0865, aux.acc_seg: 72.4287, loss: 0.2767 2023-01-30 05:21:53,151 - mmseg - INFO - Iter [101600/160000] lr: 2.190e-05, eta: 6:43:46, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1842, decode.acc_seg: 74.0097, aux.loss_ce: 0.0834, aux.acc_seg: 73.2794, loss: 0.2676 2023-01-30 05:22:13,028 - mmseg - INFO - Iter [101650/160000] lr: 2.188e-05, eta: 6:43:25, time: 0.398, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1764, decode.acc_seg: 76.0129, aux.loss_ce: 0.0791, aux.acc_seg: 75.3996, loss: 0.2555 2023-01-30 05:22:32,682 - mmseg - INFO - Iter [101700/160000] lr: 2.186e-05, eta: 6:43:04, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1631, decode.acc_seg: 75.4466, aux.loss_ce: 0.0746, aux.acc_seg: 74.8112, loss: 0.2377 2023-01-30 05:22:52,484 - mmseg - INFO - Iter [101750/160000] lr: 2.184e-05, eta: 6:42:42, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1796, decode.acc_seg: 75.0059, aux.loss_ce: 0.0807, aux.acc_seg: 74.4840, loss: 0.2603 2023-01-30 05:23:12,339 - mmseg - INFO - Iter [101800/160000] lr: 2.183e-05, eta: 6:42:21, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1888, decode.acc_seg: 75.1789, aux.loss_ce: 0.0852, aux.acc_seg: 74.6225, loss: 0.2740 2023-01-30 05:23:32,082 - mmseg - INFO - Iter [101850/160000] lr: 2.181e-05, eta: 6:42:00, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1772, decode.acc_seg: 75.0580, aux.loss_ce: 0.0808, aux.acc_seg: 74.3688, loss: 0.2580 2023-01-30 05:23:51,636 - mmseg - INFO - Iter [101900/160000] lr: 2.179e-05, eta: 6:41:38, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1785, decode.acc_seg: 73.9709, aux.loss_ce: 0.0801, aux.acc_seg: 73.4087, loss: 0.2586 2023-01-30 05:24:11,540 - mmseg - INFO - Iter [101950/160000] lr: 2.177e-05, eta: 6:41:17, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1719, decode.acc_seg: 74.4521, aux.loss_ce: 0.0781, aux.acc_seg: 73.8449, loss: 0.2500 2023-01-30 05:24:31,343 - mmseg - INFO - Saving checkpoint at 102000 iterations 2023-01-30 05:24:41,723 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 05:24:41,723 - mmseg - INFO - Iter [102000/160000] lr: 2.175e-05, eta: 6:41:02, time: 0.604, data_time: 0.007, memory: 12319, decode.loss_ce: 0.1718, decode.acc_seg: 73.6648, aux.loss_ce: 0.0779, aux.acc_seg: 73.0713, loss: 0.2497 2023-01-30 05:25:01,526 - mmseg - INFO - Iter [102050/160000] lr: 2.173e-05, eta: 6:40:41, time: 0.398, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1778, decode.acc_seg: 74.7643, aux.loss_ce: 0.0793, aux.acc_seg: 74.1044, loss: 0.2571 2023-01-30 05:25:21,521 - mmseg - INFO - Iter [102100/160000] lr: 2.171e-05, eta: 6:40:19, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1841, decode.acc_seg: 74.2724, aux.loss_ce: 0.0829, aux.acc_seg: 73.6678, loss: 0.2669 2023-01-30 05:25:41,415 - mmseg - INFO - Iter [102150/160000] lr: 2.169e-05, eta: 6:39:58, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1849, decode.acc_seg: 73.2238, aux.loss_ce: 0.0824, aux.acc_seg: 72.6867, loss: 0.2673 2023-01-30 05:26:01,326 - mmseg - INFO - Iter [102200/160000] lr: 2.168e-05, eta: 6:39:37, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1742, decode.acc_seg: 75.6948, aux.loss_ce: 0.0794, aux.acc_seg: 75.0335, loss: 0.2535 2023-01-30 05:26:21,007 - mmseg - INFO - Iter [102250/160000] lr: 2.166e-05, eta: 6:39:16, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1764, decode.acc_seg: 74.3750, aux.loss_ce: 0.0812, aux.acc_seg: 73.6906, loss: 0.2576 2023-01-30 05:26:40,968 - mmseg - INFO - Iter [102300/160000] lr: 2.164e-05, eta: 6:38:55, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1942, decode.acc_seg: 75.5034, aux.loss_ce: 0.0882, aux.acc_seg: 74.7175, loss: 0.2824 2023-01-30 05:27:03,457 - mmseg - INFO - Iter [102350/160000] lr: 2.162e-05, eta: 6:38:35, time: 0.450, data_time: 0.052, memory: 12319, decode.loss_ce: 0.1741, decode.acc_seg: 74.3742, aux.loss_ce: 0.0779, aux.acc_seg: 73.7937, loss: 0.2520 2023-01-30 05:27:23,078 - mmseg - INFO - Iter [102400/160000] lr: 2.160e-05, eta: 6:38:13, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1623, decode.acc_seg: 74.7471, aux.loss_ce: 0.0735, aux.acc_seg: 74.1307, loss: 0.2358 2023-01-30 05:27:43,019 - mmseg - INFO - Iter [102450/160000] lr: 2.158e-05, eta: 6:37:52, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1708, decode.acc_seg: 74.3224, aux.loss_ce: 0.0790, aux.acc_seg: 73.6098, loss: 0.2498 2023-01-30 05:28:02,763 - mmseg - INFO - Iter [102500/160000] lr: 2.156e-05, eta: 6:37:31, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1734, decode.acc_seg: 75.7633, aux.loss_ce: 0.0784, aux.acc_seg: 75.1777, loss: 0.2519 2023-01-30 05:28:22,430 - mmseg - INFO - Iter [102550/160000] lr: 2.154e-05, eta: 6:37:10, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1914, decode.acc_seg: 74.9281, aux.loss_ce: 0.0867, aux.acc_seg: 74.2414, loss: 0.2781 2023-01-30 05:28:42,307 - mmseg - INFO - Iter [102600/160000] lr: 2.153e-05, eta: 6:36:48, time: 0.398, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1803, decode.acc_seg: 74.3987, aux.loss_ce: 0.0811, aux.acc_seg: 73.8022, loss: 0.2614 2023-01-30 05:29:02,479 - mmseg - INFO - Iter [102650/160000] lr: 2.151e-05, eta: 6:36:27, time: 0.403, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1625, decode.acc_seg: 74.6527, aux.loss_ce: 0.0729, aux.acc_seg: 74.1677, loss: 0.2354 2023-01-30 05:29:22,425 - mmseg - INFO - Iter [102700/160000] lr: 2.149e-05, eta: 6:36:06, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1753, decode.acc_seg: 75.0378, aux.loss_ce: 0.0794, aux.acc_seg: 74.4021, loss: 0.2546 2023-01-30 05:29:42,096 - mmseg - INFO - Iter [102750/160000] lr: 2.147e-05, eta: 6:35:45, time: 0.393, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1793, decode.acc_seg: 74.7403, aux.loss_ce: 0.0812, aux.acc_seg: 74.1451, loss: 0.2605 2023-01-30 05:30:01,916 - mmseg - INFO - Iter [102800/160000] lr: 2.145e-05, eta: 6:35:23, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1837, decode.acc_seg: 73.7821, aux.loss_ce: 0.0829, aux.acc_seg: 73.1524, loss: 0.2667 2023-01-30 05:30:21,827 - mmseg - INFO - Iter [102850/160000] lr: 2.143e-05, eta: 6:35:02, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1789, decode.acc_seg: 76.1049, aux.loss_ce: 0.0809, aux.acc_seg: 75.5099, loss: 0.2598 2023-01-30 05:30:41,554 - mmseg - INFO - Iter [102900/160000] lr: 2.141e-05, eta: 6:34:41, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1792, decode.acc_seg: 73.6022, aux.loss_ce: 0.0814, aux.acc_seg: 72.8645, loss: 0.2605 2023-01-30 05:31:01,351 - mmseg - INFO - Iter [102950/160000] lr: 2.139e-05, eta: 6:34:20, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1712, decode.acc_seg: 76.2021, aux.loss_ce: 0.0780, aux.acc_seg: 75.4866, loss: 0.2493 2023-01-30 05:31:21,202 - mmseg - INFO - Saving checkpoint at 103000 iterations 2023-01-30 05:31:30,983 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 05:31:30,983 - mmseg - INFO - Iter [103000/160000] lr: 2.138e-05, eta: 6:34:04, time: 0.593, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1837, decode.acc_seg: 75.6261, aux.loss_ce: 0.0833, aux.acc_seg: 74.9857, loss: 0.2670 2023-01-30 05:31:51,148 - mmseg - INFO - Iter [103050/160000] lr: 2.136e-05, eta: 6:33:43, time: 0.403, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1794, decode.acc_seg: 74.7270, aux.loss_ce: 0.0818, aux.acc_seg: 74.0321, loss: 0.2612 2023-01-30 05:32:11,252 - mmseg - INFO - Iter [103100/160000] lr: 2.134e-05, eta: 6:33:22, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.2047, decode.acc_seg: 75.4356, aux.loss_ce: 0.0913, aux.acc_seg: 74.7431, loss: 0.2960 2023-01-30 05:32:31,031 - mmseg - INFO - Iter [103150/160000] lr: 2.132e-05, eta: 6:33:01, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1853, decode.acc_seg: 73.8639, aux.loss_ce: 0.0838, aux.acc_seg: 73.1968, loss: 0.2691 2023-01-30 05:32:51,018 - mmseg - INFO - Iter [103200/160000] lr: 2.130e-05, eta: 6:32:39, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1708, decode.acc_seg: 73.9801, aux.loss_ce: 0.0772, aux.acc_seg: 73.3360, loss: 0.2480 2023-01-30 05:33:10,794 - mmseg - INFO - Iter [103250/160000] lr: 2.128e-05, eta: 6:32:18, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1778, decode.acc_seg: 75.2597, aux.loss_ce: 0.0807, aux.acc_seg: 74.6188, loss: 0.2585 2023-01-30 05:33:30,438 - mmseg - INFO - Iter [103300/160000] lr: 2.126e-05, eta: 6:31:57, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1716, decode.acc_seg: 75.0360, aux.loss_ce: 0.0789, aux.acc_seg: 74.3265, loss: 0.2506 2023-01-30 05:33:50,165 - mmseg - INFO - Iter [103350/160000] lr: 2.124e-05, eta: 6:31:35, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1803, decode.acc_seg: 75.6206, aux.loss_ce: 0.0811, aux.acc_seg: 75.0687, loss: 0.2614 2023-01-30 05:34:09,896 - mmseg - INFO - Iter [103400/160000] lr: 2.123e-05, eta: 6:31:14, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1765, decode.acc_seg: 74.9009, aux.loss_ce: 0.0805, aux.acc_seg: 74.2274, loss: 0.2570 2023-01-30 05:34:29,530 - mmseg - INFO - Iter [103450/160000] lr: 2.121e-05, eta: 6:30:53, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1835, decode.acc_seg: 75.3482, aux.loss_ce: 0.0828, aux.acc_seg: 74.7307, loss: 0.2663 2023-01-30 05:34:49,360 - mmseg - INFO - Iter [103500/160000] lr: 2.119e-05, eta: 6:30:32, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1837, decode.acc_seg: 74.1682, aux.loss_ce: 0.0835, aux.acc_seg: 73.5198, loss: 0.2673 2023-01-30 05:35:09,057 - mmseg - INFO - Iter [103550/160000] lr: 2.117e-05, eta: 6:30:10, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1793, decode.acc_seg: 75.1338, aux.loss_ce: 0.0804, aux.acc_seg: 74.4985, loss: 0.2598 2023-01-30 05:35:31,523 - mmseg - INFO - Iter [103600/160000] lr: 2.115e-05, eta: 6:29:50, time: 0.449, data_time: 0.054, memory: 12319, decode.loss_ce: 0.1691, decode.acc_seg: 74.2499, aux.loss_ce: 0.0767, aux.acc_seg: 73.6351, loss: 0.2458 2023-01-30 05:35:50,995 - mmseg - INFO - Iter [103650/160000] lr: 2.113e-05, eta: 6:29:29, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1720, decode.acc_seg: 74.3108, aux.loss_ce: 0.0795, aux.acc_seg: 73.5632, loss: 0.2516 2023-01-30 05:36:10,997 - mmseg - INFO - Iter [103700/160000] lr: 2.111e-05, eta: 6:29:08, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1830, decode.acc_seg: 75.5361, aux.loss_ce: 0.0827, aux.acc_seg: 74.8778, loss: 0.2657 2023-01-30 05:36:30,488 - mmseg - INFO - Iter [103750/160000] lr: 2.109e-05, eta: 6:28:47, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1801, decode.acc_seg: 74.2793, aux.loss_ce: 0.0822, aux.acc_seg: 73.6316, loss: 0.2623 2023-01-30 05:36:50,464 - mmseg - INFO - Iter [103800/160000] lr: 2.108e-05, eta: 6:28:25, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1772, decode.acc_seg: 73.7375, aux.loss_ce: 0.0799, aux.acc_seg: 73.1499, loss: 0.2571 2023-01-30 05:37:10,174 - mmseg - INFO - Iter [103850/160000] lr: 2.106e-05, eta: 6:28:04, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1738, decode.acc_seg: 75.0160, aux.loss_ce: 0.0790, aux.acc_seg: 74.3874, loss: 0.2527 2023-01-30 05:37:30,009 - mmseg - INFO - Iter [103900/160000] lr: 2.104e-05, eta: 6:27:43, time: 0.396, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1757, decode.acc_seg: 75.3296, aux.loss_ce: 0.0806, aux.acc_seg: 74.6625, loss: 0.2562 2023-01-30 05:37:50,005 - mmseg - INFO - Iter [103950/160000] lr: 2.102e-05, eta: 6:27:22, time: 0.400, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1735, decode.acc_seg: 74.8103, aux.loss_ce: 0.0779, aux.acc_seg: 74.2982, loss: 0.2513 2023-01-30 05:38:10,134 - mmseg - INFO - Saving checkpoint at 104000 iterations 2023-01-30 05:38:20,801 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 05:38:20,802 - mmseg - INFO - Iter [104000/160000] lr: 2.100e-05, eta: 6:27:06, time: 0.616, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1680, decode.acc_seg: 75.2848, aux.loss_ce: 0.0770, aux.acc_seg: 74.5748, loss: 0.2450 2023-01-30 05:38:40,791 - mmseg - INFO - Iter [104050/160000] lr: 2.098e-05, eta: 6:26:45, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1763, decode.acc_seg: 76.5883, aux.loss_ce: 0.0806, aux.acc_seg: 75.8869, loss: 0.2569 2023-01-30 05:39:00,391 - mmseg - INFO - Iter [104100/160000] lr: 2.096e-05, eta: 6:26:24, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1778, decode.acc_seg: 75.6193, aux.loss_ce: 0.0809, aux.acc_seg: 75.0502, loss: 0.2587 2023-01-30 05:39:20,299 - mmseg - INFO - Iter [104150/160000] lr: 2.094e-05, eta: 6:26:03, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1792, decode.acc_seg: 74.5842, aux.loss_ce: 0.0819, aux.acc_seg: 73.9658, loss: 0.2612 2023-01-30 05:39:40,240 - mmseg - INFO - Iter [104200/160000] lr: 2.093e-05, eta: 6:25:42, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1637, decode.acc_seg: 74.8443, aux.loss_ce: 0.0747, aux.acc_seg: 74.2014, loss: 0.2384 2023-01-30 05:39:59,961 - mmseg - INFO - Iter [104250/160000] lr: 2.091e-05, eta: 6:25:20, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1787, decode.acc_seg: 75.1704, aux.loss_ce: 0.0814, aux.acc_seg: 74.4996, loss: 0.2601 2023-01-30 05:40:19,811 - mmseg - INFO - Iter [104300/160000] lr: 2.089e-05, eta: 6:24:59, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1757, decode.acc_seg: 73.6956, aux.loss_ce: 0.0789, aux.acc_seg: 73.0888, loss: 0.2546 2023-01-30 05:40:39,661 - mmseg - INFO - Iter [104350/160000] lr: 2.087e-05, eta: 6:24:38, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1788, decode.acc_seg: 75.7866, aux.loss_ce: 0.0818, aux.acc_seg: 75.0624, loss: 0.2606 2023-01-30 05:40:59,612 - mmseg - INFO - Iter [104400/160000] lr: 2.085e-05, eta: 6:24:17, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1766, decode.acc_seg: 74.6864, aux.loss_ce: 0.0800, aux.acc_seg: 73.9887, loss: 0.2566 2023-01-30 05:41:19,505 - mmseg - INFO - Iter [104450/160000] lr: 2.083e-05, eta: 6:23:56, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1719, decode.acc_seg: 74.8541, aux.loss_ce: 0.0771, aux.acc_seg: 74.2298, loss: 0.2490 2023-01-30 05:41:39,195 - mmseg - INFO - Iter [104500/160000] lr: 2.081e-05, eta: 6:23:34, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1801, decode.acc_seg: 73.5012, aux.loss_ce: 0.0825, aux.acc_seg: 72.8495, loss: 0.2627 2023-01-30 05:41:59,012 - mmseg - INFO - Iter [104550/160000] lr: 2.079e-05, eta: 6:23:13, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1777, decode.acc_seg: 74.9094, aux.loss_ce: 0.0797, aux.acc_seg: 74.3276, loss: 0.2575 2023-01-30 05:42:18,677 - mmseg - INFO - Iter [104600/160000] lr: 2.078e-05, eta: 6:22:52, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1752, decode.acc_seg: 75.0694, aux.loss_ce: 0.0798, aux.acc_seg: 74.3956, loss: 0.2550 2023-01-30 05:42:38,233 - mmseg - INFO - Iter [104650/160000] lr: 2.076e-05, eta: 6:22:30, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1714, decode.acc_seg: 74.2672, aux.loss_ce: 0.0776, aux.acc_seg: 73.5911, loss: 0.2490 2023-01-30 05:42:58,181 - mmseg - INFO - Iter [104700/160000] lr: 2.074e-05, eta: 6:22:09, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1763, decode.acc_seg: 74.7887, aux.loss_ce: 0.0801, aux.acc_seg: 74.1852, loss: 0.2564 2023-01-30 05:43:17,639 - mmseg - INFO - Iter [104750/160000] lr: 2.072e-05, eta: 6:21:48, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1839, decode.acc_seg: 74.7059, aux.loss_ce: 0.0817, aux.acc_seg: 74.1749, loss: 0.2656 2023-01-30 05:43:37,297 - mmseg - INFO - Iter [104800/160000] lr: 2.070e-05, eta: 6:21:27, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1763, decode.acc_seg: 74.8344, aux.loss_ce: 0.0798, aux.acc_seg: 74.2177, loss: 0.2561 2023-01-30 05:43:59,617 - mmseg - INFO - Iter [104850/160000] lr: 2.068e-05, eta: 6:21:07, time: 0.445, data_time: 0.050, memory: 12319, decode.loss_ce: 0.1781, decode.acc_seg: 76.8626, aux.loss_ce: 0.0801, aux.acc_seg: 76.1764, loss: 0.2582 2023-01-30 05:44:19,384 - mmseg - INFO - Iter [104900/160000] lr: 2.066e-05, eta: 6:20:45, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1643, decode.acc_seg: 75.5247, aux.loss_ce: 0.0758, aux.acc_seg: 74.8216, loss: 0.2401 2023-01-30 05:44:39,199 - mmseg - INFO - Iter [104950/160000] lr: 2.064e-05, eta: 6:20:24, time: 0.398, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1655, decode.acc_seg: 75.2583, aux.loss_ce: 0.0743, aux.acc_seg: 74.6842, loss: 0.2399 2023-01-30 05:44:58,586 - mmseg - INFO - Saving checkpoint at 105000 iterations 2023-01-30 05:45:08,214 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 05:45:08,214 - mmseg - INFO - Iter [105000/160000] lr: 2.063e-05, eta: 6:20:08, time: 0.580, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1724, decode.acc_seg: 75.3689, aux.loss_ce: 0.0775, aux.acc_seg: 74.7645, loss: 0.2499 2023-01-30 05:45:28,132 - mmseg - INFO - Iter [105050/160000] lr: 2.061e-05, eta: 6:19:47, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1778, decode.acc_seg: 75.5561, aux.loss_ce: 0.0814, aux.acc_seg: 74.7897, loss: 0.2593 2023-01-30 05:45:48,188 - mmseg - INFO - Iter [105100/160000] lr: 2.059e-05, eta: 6:19:26, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1745, decode.acc_seg: 74.7314, aux.loss_ce: 0.0797, aux.acc_seg: 74.0064, loss: 0.2542 2023-01-30 05:46:08,479 - mmseg - INFO - Iter [105150/160000] lr: 2.057e-05, eta: 6:19:05, time: 0.406, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1686, decode.acc_seg: 74.6921, aux.loss_ce: 0.0774, aux.acc_seg: 73.9793, loss: 0.2460 2023-01-30 05:46:27,980 - mmseg - INFO - Iter [105200/160000] lr: 2.055e-05, eta: 6:18:43, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1758, decode.acc_seg: 74.8382, aux.loss_ce: 0.0806, aux.acc_seg: 74.2138, loss: 0.2564 2023-01-30 05:46:47,803 - mmseg - INFO - Iter [105250/160000] lr: 2.053e-05, eta: 6:18:22, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1709, decode.acc_seg: 75.5872, aux.loss_ce: 0.0767, aux.acc_seg: 75.0398, loss: 0.2476 2023-01-30 05:47:07,936 - mmseg - INFO - Iter [105300/160000] lr: 2.051e-05, eta: 6:18:01, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1816, decode.acc_seg: 76.1277, aux.loss_ce: 0.0817, aux.acc_seg: 75.4976, loss: 0.2633 2023-01-30 05:47:27,516 - mmseg - INFO - Iter [105350/160000] lr: 2.049e-05, eta: 6:17:40, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1802, decode.acc_seg: 75.3441, aux.loss_ce: 0.0819, aux.acc_seg: 74.6489, loss: 0.2621 2023-01-30 05:47:47,372 - mmseg - INFO - Iter [105400/160000] lr: 2.048e-05, eta: 6:17:18, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1750, decode.acc_seg: 75.0310, aux.loss_ce: 0.0787, aux.acc_seg: 74.4453, loss: 0.2537 2023-01-30 05:48:07,202 - mmseg - INFO - Iter [105450/160000] lr: 2.046e-05, eta: 6:16:57, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1780, decode.acc_seg: 75.3902, aux.loss_ce: 0.0804, aux.acc_seg: 74.7160, loss: 0.2584 2023-01-30 05:48:26,846 - mmseg - INFO - Iter [105500/160000] lr: 2.044e-05, eta: 6:16:36, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1660, decode.acc_seg: 74.8830, aux.loss_ce: 0.0758, aux.acc_seg: 74.2291, loss: 0.2418 2023-01-30 05:48:46,411 - mmseg - INFO - Iter [105550/160000] lr: 2.042e-05, eta: 6:16:15, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1691, decode.acc_seg: 74.6206, aux.loss_ce: 0.0770, aux.acc_seg: 73.9635, loss: 0.2460 2023-01-30 05:49:06,394 - mmseg - INFO - Iter [105600/160000] lr: 2.040e-05, eta: 6:15:54, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1731, decode.acc_seg: 74.0054, aux.loss_ce: 0.0791, aux.acc_seg: 73.3681, loss: 0.2522 2023-01-30 05:49:26,211 - mmseg - INFO - Iter [105650/160000] lr: 2.038e-05, eta: 6:15:32, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1758, decode.acc_seg: 75.1259, aux.loss_ce: 0.0801, aux.acc_seg: 74.3985, loss: 0.2560 2023-01-30 05:49:46,227 - mmseg - INFO - Iter [105700/160000] lr: 2.036e-05, eta: 6:15:11, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1720, decode.acc_seg: 75.3278, aux.loss_ce: 0.0782, aux.acc_seg: 74.6597, loss: 0.2502 2023-01-30 05:50:05,633 - mmseg - INFO - Iter [105750/160000] lr: 2.034e-05, eta: 6:14:50, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1730, decode.acc_seg: 75.2196, aux.loss_ce: 0.0776, aux.acc_seg: 74.5836, loss: 0.2506 2023-01-30 05:50:25,148 - mmseg - INFO - Iter [105800/160000] lr: 2.033e-05, eta: 6:14:28, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1768, decode.acc_seg: 73.8019, aux.loss_ce: 0.0802, aux.acc_seg: 73.1252, loss: 0.2570 2023-01-30 05:50:44,834 - mmseg - INFO - Iter [105850/160000] lr: 2.031e-05, eta: 6:14:07, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1662, decode.acc_seg: 73.3385, aux.loss_ce: 0.0771, aux.acc_seg: 72.6518, loss: 0.2433 2023-01-30 05:51:04,617 - mmseg - INFO - Iter [105900/160000] lr: 2.029e-05, eta: 6:13:46, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1871, decode.acc_seg: 74.6049, aux.loss_ce: 0.0848, aux.acc_seg: 73.9538, loss: 0.2719 2023-01-30 05:51:24,356 - mmseg - INFO - Iter [105950/160000] lr: 2.027e-05, eta: 6:13:25, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1668, decode.acc_seg: 75.1638, aux.loss_ce: 0.0765, aux.acc_seg: 74.4930, loss: 0.2433 2023-01-30 05:51:43,992 - mmseg - INFO - Saving checkpoint at 106000 iterations 2023-01-30 05:51:54,599 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 05:51:54,599 - mmseg - INFO - Iter [106000/160000] lr: 2.025e-05, eta: 6:13:09, time: 0.605, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1743, decode.acc_seg: 74.7254, aux.loss_ce: 0.0797, aux.acc_seg: 74.0912, loss: 0.2540 2023-01-30 05:52:15,017 - mmseg - INFO - Iter [106050/160000] lr: 2.023e-05, eta: 6:12:48, time: 0.409, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1670, decode.acc_seg: 75.8039, aux.loss_ce: 0.0757, aux.acc_seg: 75.1793, loss: 0.2427 2023-01-30 05:52:37,503 - mmseg - INFO - Iter [106100/160000] lr: 2.021e-05, eta: 6:12:28, time: 0.450, data_time: 0.052, memory: 12319, decode.loss_ce: 0.1752, decode.acc_seg: 75.6368, aux.loss_ce: 0.0795, aux.acc_seg: 74.9889, loss: 0.2547 2023-01-30 05:52:57,319 - mmseg - INFO - Iter [106150/160000] lr: 2.019e-05, eta: 6:12:07, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1760, decode.acc_seg: 75.6145, aux.loss_ce: 0.0801, aux.acc_seg: 74.9689, loss: 0.2561 2023-01-30 05:53:16,984 - mmseg - INFO - Iter [106200/160000] lr: 2.018e-05, eta: 6:11:46, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1728, decode.acc_seg: 75.5235, aux.loss_ce: 0.0781, aux.acc_seg: 74.8950, loss: 0.2509 2023-01-30 05:53:36,742 - mmseg - INFO - Iter [106250/160000] lr: 2.016e-05, eta: 6:11:24, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1742, decode.acc_seg: 76.1684, aux.loss_ce: 0.0798, aux.acc_seg: 75.5041, loss: 0.2539 2023-01-30 05:53:56,380 - mmseg - INFO - Iter [106300/160000] lr: 2.014e-05, eta: 6:11:03, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1748, decode.acc_seg: 76.0610, aux.loss_ce: 0.0797, aux.acc_seg: 75.3623, loss: 0.2545 2023-01-30 05:54:16,081 - mmseg - INFO - Iter [106350/160000] lr: 2.012e-05, eta: 6:10:42, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1936, decode.acc_seg: 73.9097, aux.loss_ce: 0.0874, aux.acc_seg: 73.2398, loss: 0.2810 2023-01-30 05:54:35,831 - mmseg - INFO - Iter [106400/160000] lr: 2.010e-05, eta: 6:10:21, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1897, decode.acc_seg: 75.9937, aux.loss_ce: 0.0858, aux.acc_seg: 75.2734, loss: 0.2755 2023-01-30 05:54:55,788 - mmseg - INFO - Iter [106450/160000] lr: 2.008e-05, eta: 6:10:00, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1665, decode.acc_seg: 73.3617, aux.loss_ce: 0.0754, aux.acc_seg: 72.7798, loss: 0.2419 2023-01-30 05:55:15,538 - mmseg - INFO - Iter [106500/160000] lr: 2.006e-05, eta: 6:09:38, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1727, decode.acc_seg: 75.5967, aux.loss_ce: 0.0786, aux.acc_seg: 74.8954, loss: 0.2514 2023-01-30 05:55:35,381 - mmseg - INFO - Iter [106550/160000] lr: 2.004e-05, eta: 6:09:17, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1755, decode.acc_seg: 74.4231, aux.loss_ce: 0.0793, aux.acc_seg: 73.7643, loss: 0.2548 2023-01-30 05:55:54,841 - mmseg - INFO - Iter [106600/160000] lr: 2.003e-05, eta: 6:08:56, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1626, decode.acc_seg: 76.0884, aux.loss_ce: 0.0735, aux.acc_seg: 75.4698, loss: 0.2361 2023-01-30 05:56:14,565 - mmseg - INFO - Iter [106650/160000] lr: 2.001e-05, eta: 6:08:35, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1727, decode.acc_seg: 73.9767, aux.loss_ce: 0.0780, aux.acc_seg: 73.4386, loss: 0.2507 2023-01-30 05:56:34,319 - mmseg - INFO - Iter [106700/160000] lr: 1.999e-05, eta: 6:08:13, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1739, decode.acc_seg: 74.6706, aux.loss_ce: 0.0786, aux.acc_seg: 74.1219, loss: 0.2524 2023-01-30 05:56:53,947 - mmseg - INFO - Iter [106750/160000] lr: 1.997e-05, eta: 6:07:52, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1689, decode.acc_seg: 76.0788, aux.loss_ce: 0.0773, aux.acc_seg: 75.4306, loss: 0.2461 2023-01-30 05:57:13,659 - mmseg - INFO - Iter [106800/160000] lr: 1.995e-05, eta: 6:07:31, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1798, decode.acc_seg: 75.2017, aux.loss_ce: 0.0813, aux.acc_seg: 74.5488, loss: 0.2610 2023-01-30 05:57:33,417 - mmseg - INFO - Iter [106850/160000] lr: 1.993e-05, eta: 6:07:10, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1673, decode.acc_seg: 74.2900, aux.loss_ce: 0.0767, aux.acc_seg: 73.6527, loss: 0.2440 2023-01-30 05:57:53,199 - mmseg - INFO - Iter [106900/160000] lr: 1.991e-05, eta: 6:06:48, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1732, decode.acc_seg: 74.7117, aux.loss_ce: 0.0779, aux.acc_seg: 74.1657, loss: 0.2511 2023-01-30 05:58:12,970 - mmseg - INFO - Iter [106950/160000] lr: 1.989e-05, eta: 6:06:27, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1814, decode.acc_seg: 74.9145, aux.loss_ce: 0.0829, aux.acc_seg: 74.1836, loss: 0.2642 2023-01-30 05:58:32,623 - mmseg - INFO - Saving checkpoint at 107000 iterations 2023-01-30 05:58:42,493 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 05:58:42,496 - mmseg - INFO - Iter [107000/160000] lr: 1.988e-05, eta: 6:06:11, time: 0.590, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1732, decode.acc_seg: 74.8277, aux.loss_ce: 0.0785, aux.acc_seg: 74.2409, loss: 0.2518 2023-01-30 05:59:02,423 - mmseg - INFO - Iter [107050/160000] lr: 1.986e-05, eta: 6:05:50, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1872, decode.acc_seg: 74.6229, aux.loss_ce: 0.0846, aux.acc_seg: 73.9934, loss: 0.2718 2023-01-30 05:59:22,389 - mmseg - INFO - Iter [107100/160000] lr: 1.984e-05, eta: 6:05:29, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1697, decode.acc_seg: 75.4204, aux.loss_ce: 0.0781, aux.acc_seg: 74.7418, loss: 0.2479 2023-01-30 05:59:42,351 - mmseg - INFO - Iter [107150/160000] lr: 1.982e-05, eta: 6:05:08, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1799, decode.acc_seg: 74.2648, aux.loss_ce: 0.0814, aux.acc_seg: 73.5926, loss: 0.2613 2023-01-30 06:00:01,690 - mmseg - INFO - Iter [107200/160000] lr: 1.980e-05, eta: 6:04:46, time: 0.387, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1799, decode.acc_seg: 76.4626, aux.loss_ce: 0.0804, aux.acc_seg: 75.8977, loss: 0.2604 2023-01-30 06:00:23,361 - mmseg - INFO - Iter [107250/160000] lr: 1.978e-05, eta: 6:04:26, time: 0.433, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1701, decode.acc_seg: 74.5364, aux.loss_ce: 0.0773, aux.acc_seg: 73.9933, loss: 0.2474 2023-01-30 06:00:43,120 - mmseg - INFO - Iter [107300/160000] lr: 1.976e-05, eta: 6:04:05, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1723, decode.acc_seg: 75.5187, aux.loss_ce: 0.0778, aux.acc_seg: 74.9005, loss: 0.2501 2023-01-30 06:01:02,722 - mmseg - INFO - Iter [107350/160000] lr: 1.974e-05, eta: 6:03:43, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1655, decode.acc_seg: 74.2935, aux.loss_ce: 0.0756, aux.acc_seg: 73.6102, loss: 0.2411 2023-01-30 06:01:25,030 - mmseg - INFO - Iter [107400/160000] lr: 1.973e-05, eta: 6:03:23, time: 0.446, data_time: 0.049, memory: 12319, decode.loss_ce: 0.1771, decode.acc_seg: 74.2092, aux.loss_ce: 0.0816, aux.acc_seg: 73.4828, loss: 0.2586 2023-01-30 06:01:44,650 - mmseg - INFO - Iter [107450/160000] lr: 1.971e-05, eta: 6:03:02, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1694, decode.acc_seg: 75.2262, aux.loss_ce: 0.0776, aux.acc_seg: 74.5206, loss: 0.2470 2023-01-30 06:02:04,494 - mmseg - INFO - Iter [107500/160000] lr: 1.969e-05, eta: 6:02:41, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1706, decode.acc_seg: 75.5783, aux.loss_ce: 0.0783, aux.acc_seg: 74.9418, loss: 0.2489 2023-01-30 06:02:24,117 - mmseg - INFO - Iter [107550/160000] lr: 1.967e-05, eta: 6:02:20, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1703, decode.acc_seg: 73.4323, aux.loss_ce: 0.0774, aux.acc_seg: 72.7841, loss: 0.2478 2023-01-30 06:02:44,010 - mmseg - INFO - Iter [107600/160000] lr: 1.965e-05, eta: 6:01:59, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1760, decode.acc_seg: 74.7278, aux.loss_ce: 0.0788, aux.acc_seg: 74.2118, loss: 0.2547 2023-01-30 06:03:03,652 - mmseg - INFO - Iter [107650/160000] lr: 1.963e-05, eta: 6:01:37, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1786, decode.acc_seg: 75.0642, aux.loss_ce: 0.0801, aux.acc_seg: 74.4831, loss: 0.2588 2023-01-30 06:03:23,269 - mmseg - INFO - Iter [107700/160000] lr: 1.961e-05, eta: 6:01:16, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1800, decode.acc_seg: 75.2998, aux.loss_ce: 0.0810, aux.acc_seg: 74.6955, loss: 0.2611 2023-01-30 06:03:42,805 - mmseg - INFO - Iter [107750/160000] lr: 1.959e-05, eta: 6:00:55, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1682, decode.acc_seg: 75.3216, aux.loss_ce: 0.0760, aux.acc_seg: 74.6819, loss: 0.2443 2023-01-30 06:04:02,434 - mmseg - INFO - Iter [107800/160000] lr: 1.958e-05, eta: 6:00:34, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1794, decode.acc_seg: 73.3223, aux.loss_ce: 0.0818, aux.acc_seg: 72.6414, loss: 0.2611 2023-01-30 06:04:22,216 - mmseg - INFO - Iter [107850/160000] lr: 1.956e-05, eta: 6:00:12, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1720, decode.acc_seg: 75.3497, aux.loss_ce: 0.0778, aux.acc_seg: 74.7066, loss: 0.2498 2023-01-30 06:04:41,958 - mmseg - INFO - Iter [107900/160000] lr: 1.954e-05, eta: 5:59:51, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1749, decode.acc_seg: 77.0918, aux.loss_ce: 0.0792, aux.acc_seg: 76.3511, loss: 0.2541 2023-01-30 06:05:02,095 - mmseg - INFO - Iter [107950/160000] lr: 1.952e-05, eta: 5:59:30, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1738, decode.acc_seg: 75.7876, aux.loss_ce: 0.0798, aux.acc_seg: 75.1058, loss: 0.2536 2023-01-30 06:05:21,573 - mmseg - INFO - Saving checkpoint at 108000 iterations 2023-01-30 06:05:32,323 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 06:05:32,329 - mmseg - INFO - Iter [108000/160000] lr: 1.950e-05, eta: 5:59:14, time: 0.604, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1738, decode.acc_seg: 74.0958, aux.loss_ce: 0.0788, aux.acc_seg: 73.4221, loss: 0.2526 2023-01-30 06:05:52,521 - mmseg - INFO - Iter [108050/160000] lr: 1.948e-05, eta: 5:58:53, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1762, decode.acc_seg: 73.2175, aux.loss_ce: 0.0804, aux.acc_seg: 72.5853, loss: 0.2566 2023-01-30 06:06:12,105 - mmseg - INFO - Iter [108100/160000] lr: 1.946e-05, eta: 5:58:32, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1613, decode.acc_seg: 76.0742, aux.loss_ce: 0.0740, aux.acc_seg: 75.4002, loss: 0.2353 2023-01-30 06:06:31,843 - mmseg - INFO - Iter [108150/160000] lr: 1.944e-05, eta: 5:58:11, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1742, decode.acc_seg: 75.8482, aux.loss_ce: 0.0803, aux.acc_seg: 75.0846, loss: 0.2545 2023-01-30 06:06:51,815 - mmseg - INFO - Iter [108200/160000] lr: 1.943e-05, eta: 5:57:50, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1673, decode.acc_seg: 73.3895, aux.loss_ce: 0.0756, aux.acc_seg: 72.7197, loss: 0.2430 2023-01-30 06:07:11,627 - mmseg - INFO - Iter [108250/160000] lr: 1.941e-05, eta: 5:57:28, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1689, decode.acc_seg: 74.0641, aux.loss_ce: 0.0758, aux.acc_seg: 73.4833, loss: 0.2447 2023-01-30 06:07:31,414 - mmseg - INFO - Iter [108300/160000] lr: 1.939e-05, eta: 5:57:07, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1653, decode.acc_seg: 75.3095, aux.loss_ce: 0.0768, aux.acc_seg: 74.5487, loss: 0.2421 2023-01-30 06:07:51,451 - mmseg - INFO - Iter [108350/160000] lr: 1.937e-05, eta: 5:56:46, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1618, decode.acc_seg: 74.6695, aux.loss_ce: 0.0735, aux.acc_seg: 74.0401, loss: 0.2353 2023-01-30 06:08:10,940 - mmseg - INFO - Iter [108400/160000] lr: 1.935e-05, eta: 5:56:25, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1734, decode.acc_seg: 73.0950, aux.loss_ce: 0.0795, aux.acc_seg: 72.4710, loss: 0.2529 2023-01-30 06:08:30,659 - mmseg - INFO - Iter [108450/160000] lr: 1.933e-05, eta: 5:56:04, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1714, decode.acc_seg: 77.0657, aux.loss_ce: 0.0783, aux.acc_seg: 76.4197, loss: 0.2497 2023-01-30 06:08:50,564 - mmseg - INFO - Iter [108500/160000] lr: 1.931e-05, eta: 5:55:43, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1758, decode.acc_seg: 76.1577, aux.loss_ce: 0.0793, aux.acc_seg: 75.6552, loss: 0.2550 2023-01-30 06:09:10,349 - mmseg - INFO - Iter [108550/160000] lr: 1.929e-05, eta: 5:55:21, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1753, decode.acc_seg: 75.4124, aux.loss_ce: 0.0800, aux.acc_seg: 74.7170, loss: 0.2553 2023-01-30 06:09:30,255 - mmseg - INFO - Iter [108600/160000] lr: 1.928e-05, eta: 5:55:00, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1820, decode.acc_seg: 74.8290, aux.loss_ce: 0.0809, aux.acc_seg: 74.2713, loss: 0.2629 2023-01-30 06:09:53,238 - mmseg - INFO - Iter [108650/160000] lr: 1.926e-05, eta: 5:54:41, time: 0.460, data_time: 0.054, memory: 12319, decode.loss_ce: 0.1685, decode.acc_seg: 74.0871, aux.loss_ce: 0.0757, aux.acc_seg: 73.5981, loss: 0.2442 2023-01-30 06:10:13,169 - mmseg - INFO - Iter [108700/160000] lr: 1.924e-05, eta: 5:54:20, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1711, decode.acc_seg: 76.7767, aux.loss_ce: 0.0784, aux.acc_seg: 76.1070, loss: 0.2495 2023-01-30 06:10:32,713 - mmseg - INFO - Iter [108750/160000] lr: 1.922e-05, eta: 5:53:58, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1724, decode.acc_seg: 75.5113, aux.loss_ce: 0.0786, aux.acc_seg: 74.8374, loss: 0.2510 2023-01-30 06:10:52,648 - mmseg - INFO - Iter [108800/160000] lr: 1.920e-05, eta: 5:53:37, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1729, decode.acc_seg: 75.3105, aux.loss_ce: 0.0790, aux.acc_seg: 74.6122, loss: 0.2519 2023-01-30 06:11:12,570 - mmseg - INFO - Iter [108850/160000] lr: 1.918e-05, eta: 5:53:16, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1644, decode.acc_seg: 75.9250, aux.loss_ce: 0.0741, aux.acc_seg: 75.4300, loss: 0.2385 2023-01-30 06:11:32,098 - mmseg - INFO - Iter [108900/160000] lr: 1.916e-05, eta: 5:52:55, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1701, decode.acc_seg: 75.2867, aux.loss_ce: 0.0774, aux.acc_seg: 74.6510, loss: 0.2474 2023-01-30 06:11:51,779 - mmseg - INFO - Iter [108950/160000] lr: 1.914e-05, eta: 5:52:34, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1817, decode.acc_seg: 75.9107, aux.loss_ce: 0.0823, aux.acc_seg: 75.2023, loss: 0.2640 2023-01-30 06:12:11,442 - mmseg - INFO - Saving checkpoint at 109000 iterations 2023-01-30 06:12:21,295 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 06:12:21,296 - mmseg - INFO - Iter [109000/160000] lr: 1.913e-05, eta: 5:52:17, time: 0.590, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1659, decode.acc_seg: 75.5101, aux.loss_ce: 0.0750, aux.acc_seg: 74.9243, loss: 0.2409 2023-01-30 06:12:41,172 - mmseg - INFO - Iter [109050/160000] lr: 1.911e-05, eta: 5:51:56, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1628, decode.acc_seg: 75.1783, aux.loss_ce: 0.0744, aux.acc_seg: 74.4235, loss: 0.2373 2023-01-30 06:13:01,076 - mmseg - INFO - Iter [109100/160000] lr: 1.909e-05, eta: 5:51:35, time: 0.398, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1808, decode.acc_seg: 74.4163, aux.loss_ce: 0.0816, aux.acc_seg: 73.7705, loss: 0.2624 2023-01-30 06:13:20,468 - mmseg - INFO - Iter [109150/160000] lr: 1.907e-05, eta: 5:51:13, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1664, decode.acc_seg: 74.7771, aux.loss_ce: 0.0753, aux.acc_seg: 74.1715, loss: 0.2417 2023-01-30 06:13:40,285 - mmseg - INFO - Iter [109200/160000] lr: 1.905e-05, eta: 5:50:52, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1688, decode.acc_seg: 76.6144, aux.loss_ce: 0.0769, aux.acc_seg: 75.9396, loss: 0.2457 2023-01-30 06:14:00,189 - mmseg - INFO - Iter [109250/160000] lr: 1.903e-05, eta: 5:50:31, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1694, decode.acc_seg: 74.6357, aux.loss_ce: 0.0780, aux.acc_seg: 73.8988, loss: 0.2474 2023-01-30 06:14:20,023 - mmseg - INFO - Iter [109300/160000] lr: 1.901e-05, eta: 5:50:10, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1635, decode.acc_seg: 75.0487, aux.loss_ce: 0.0738, aux.acc_seg: 74.3865, loss: 0.2373 2023-01-30 06:14:39,797 - mmseg - INFO - Iter [109350/160000] lr: 1.899e-05, eta: 5:49:49, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1763, decode.acc_seg: 76.2236, aux.loss_ce: 0.0800, aux.acc_seg: 75.6285, loss: 0.2562 2023-01-30 06:14:59,672 - mmseg - INFO - Iter [109400/160000] lr: 1.898e-05, eta: 5:49:28, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1691, decode.acc_seg: 74.3846, aux.loss_ce: 0.0777, aux.acc_seg: 73.6262, loss: 0.2468 2023-01-30 06:15:19,715 - mmseg - INFO - Iter [109450/160000] lr: 1.896e-05, eta: 5:49:07, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1735, decode.acc_seg: 75.9236, aux.loss_ce: 0.0790, aux.acc_seg: 75.2246, loss: 0.2525 2023-01-30 06:15:39,389 - mmseg - INFO - Iter [109500/160000] lr: 1.894e-05, eta: 5:48:46, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1568, decode.acc_seg: 74.0170, aux.loss_ce: 0.0722, aux.acc_seg: 73.3662, loss: 0.2290 2023-01-30 06:15:58,995 - mmseg - INFO - Iter [109550/160000] lr: 1.892e-05, eta: 5:48:24, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1759, decode.acc_seg: 74.8831, aux.loss_ce: 0.0809, aux.acc_seg: 74.0950, loss: 0.2568 2023-01-30 06:16:18,988 - mmseg - INFO - Iter [109600/160000] lr: 1.890e-05, eta: 5:48:03, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1674, decode.acc_seg: 73.7468, aux.loss_ce: 0.0763, aux.acc_seg: 73.0934, loss: 0.2437 2023-01-30 06:16:38,896 - mmseg - INFO - Iter [109650/160000] lr: 1.888e-05, eta: 5:47:42, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1731, decode.acc_seg: 75.1911, aux.loss_ce: 0.0790, aux.acc_seg: 74.4594, loss: 0.2521 2023-01-30 06:16:58,463 - mmseg - INFO - Iter [109700/160000] lr: 1.886e-05, eta: 5:47:21, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1771, decode.acc_seg: 74.7969, aux.loss_ce: 0.0803, aux.acc_seg: 74.0883, loss: 0.2574 2023-01-30 06:17:18,280 - mmseg - INFO - Iter [109750/160000] lr: 1.884e-05, eta: 5:47:00, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1760, decode.acc_seg: 75.2300, aux.loss_ce: 0.0792, aux.acc_seg: 74.6577, loss: 0.2552 2023-01-30 06:17:37,974 - mmseg - INFO - Iter [109800/160000] lr: 1.883e-05, eta: 5:46:39, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1890, decode.acc_seg: 74.6733, aux.loss_ce: 0.0856, aux.acc_seg: 74.0851, loss: 0.2746 2023-01-30 06:17:57,614 - mmseg - INFO - Iter [109850/160000] lr: 1.881e-05, eta: 5:46:17, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1744, decode.acc_seg: 74.3296, aux.loss_ce: 0.0806, aux.acc_seg: 73.5775, loss: 0.2550 2023-01-30 06:18:20,115 - mmseg - INFO - Iter [109900/160000] lr: 1.879e-05, eta: 5:45:57, time: 0.450, data_time: 0.052, memory: 12319, decode.loss_ce: 0.1724, decode.acc_seg: 73.8883, aux.loss_ce: 0.0783, aux.acc_seg: 73.2242, loss: 0.2508 2023-01-30 06:18:40,220 - mmseg - INFO - Iter [109950/160000] lr: 1.877e-05, eta: 5:45:36, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1757, decode.acc_seg: 75.4479, aux.loss_ce: 0.0800, aux.acc_seg: 74.6882, loss: 0.2558 2023-01-30 06:18:59,703 - mmseg - INFO - Saving checkpoint at 110000 iterations 2023-01-30 06:19:09,788 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 06:19:09,788 - mmseg - INFO - Iter [110000/160000] lr: 1.875e-05, eta: 5:45:20, time: 0.591, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1684, decode.acc_seg: 75.2830, aux.loss_ce: 0.0771, aux.acc_seg: 74.6444, loss: 0.2456 2023-01-30 06:19:29,751 - mmseg - INFO - Iter [110050/160000] lr: 1.873e-05, eta: 5:44:59, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1670, decode.acc_seg: 73.9188, aux.loss_ce: 0.0770, aux.acc_seg: 73.1357, loss: 0.2440 2023-01-30 06:19:49,688 - mmseg - INFO - Iter [110100/160000] lr: 1.871e-05, eta: 5:44:38, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1630, decode.acc_seg: 73.9074, aux.loss_ce: 0.0756, aux.acc_seg: 73.2330, loss: 0.2386 2023-01-30 06:20:09,394 - mmseg - INFO - Iter [110150/160000] lr: 1.869e-05, eta: 5:44:16, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1665, decode.acc_seg: 74.4043, aux.loss_ce: 0.0755, aux.acc_seg: 73.8042, loss: 0.2420 2023-01-30 06:20:28,919 - mmseg - INFO - Iter [110200/160000] lr: 1.868e-05, eta: 5:43:55, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1672, decode.acc_seg: 72.9297, aux.loss_ce: 0.0758, aux.acc_seg: 72.2677, loss: 0.2431 2023-01-30 06:20:48,938 - mmseg - INFO - Iter [110250/160000] lr: 1.866e-05, eta: 5:43:34, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1719, decode.acc_seg: 74.5402, aux.loss_ce: 0.0794, aux.acc_seg: 73.8261, loss: 0.2512 2023-01-30 06:21:08,633 - mmseg - INFO - Iter [110300/160000] lr: 1.864e-05, eta: 5:43:13, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1765, decode.acc_seg: 76.9015, aux.loss_ce: 0.0805, aux.acc_seg: 76.1641, loss: 0.2570 2023-01-30 06:21:28,369 - mmseg - INFO - Iter [110350/160000] lr: 1.862e-05, eta: 5:42:52, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1609, decode.acc_seg: 75.3052, aux.loss_ce: 0.0733, aux.acc_seg: 74.6784, loss: 0.2342 2023-01-30 06:21:48,094 - mmseg - INFO - Iter [110400/160000] lr: 1.860e-05, eta: 5:42:31, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1650, decode.acc_seg: 75.3194, aux.loss_ce: 0.0756, aux.acc_seg: 74.6132, loss: 0.2406 2023-01-30 06:22:08,329 - mmseg - INFO - Iter [110450/160000] lr: 1.858e-05, eta: 5:42:10, time: 0.404, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1660, decode.acc_seg: 75.5902, aux.loss_ce: 0.0758, aux.acc_seg: 74.9132, loss: 0.2419 2023-01-30 06:22:28,353 - mmseg - INFO - Iter [110500/160000] lr: 1.856e-05, eta: 5:41:49, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1713, decode.acc_seg: 75.4387, aux.loss_ce: 0.0778, aux.acc_seg: 74.8338, loss: 0.2490 2023-01-30 06:22:48,128 - mmseg - INFO - Iter [110550/160000] lr: 1.854e-05, eta: 5:41:28, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1772, decode.acc_seg: 75.6694, aux.loss_ce: 0.0810, aux.acc_seg: 74.9532, loss: 0.2582 2023-01-30 06:23:07,681 - mmseg - INFO - Iter [110600/160000] lr: 1.853e-05, eta: 5:41:06, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1701, decode.acc_seg: 75.2142, aux.loss_ce: 0.0764, aux.acc_seg: 74.6160, loss: 0.2466 2023-01-30 06:23:27,339 - mmseg - INFO - Iter [110650/160000] lr: 1.851e-05, eta: 5:40:45, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1701, decode.acc_seg: 75.1355, aux.loss_ce: 0.0775, aux.acc_seg: 74.5466, loss: 0.2477 2023-01-30 06:23:46,840 - mmseg - INFO - Iter [110700/160000] lr: 1.849e-05, eta: 5:40:24, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1700, decode.acc_seg: 75.5520, aux.loss_ce: 0.0774, aux.acc_seg: 74.7922, loss: 0.2474 2023-01-30 06:24:06,476 - mmseg - INFO - Iter [110750/160000] lr: 1.847e-05, eta: 5:40:03, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1709, decode.acc_seg: 74.3302, aux.loss_ce: 0.0790, aux.acc_seg: 73.6633, loss: 0.2499 2023-01-30 06:24:26,406 - mmseg - INFO - Iter [110800/160000] lr: 1.845e-05, eta: 5:39:42, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1612, decode.acc_seg: 75.6731, aux.loss_ce: 0.0733, aux.acc_seg: 75.0718, loss: 0.2345 2023-01-30 06:24:46,130 - mmseg - INFO - Iter [110850/160000] lr: 1.843e-05, eta: 5:39:21, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1610, decode.acc_seg: 74.2226, aux.loss_ce: 0.0738, aux.acc_seg: 73.5640, loss: 0.2348 2023-01-30 06:25:05,790 - mmseg - INFO - Iter [110900/160000] lr: 1.841e-05, eta: 5:38:59, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1707, decode.acc_seg: 74.5919, aux.loss_ce: 0.0784, aux.acc_seg: 73.8705, loss: 0.2492 2023-01-30 06:25:25,649 - mmseg - INFO - Iter [110950/160000] lr: 1.839e-05, eta: 5:38:38, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1644, decode.acc_seg: 74.8436, aux.loss_ce: 0.0756, aux.acc_seg: 74.0951, loss: 0.2400 2023-01-30 06:25:45,172 - mmseg - INFO - Saving checkpoint at 111000 iterations 2023-01-30 06:25:55,212 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 06:25:55,212 - mmseg - INFO - Iter [111000/160000] lr: 1.838e-05, eta: 5:38:21, time: 0.590, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1665, decode.acc_seg: 75.7813, aux.loss_ce: 0.0762, aux.acc_seg: 75.0814, loss: 0.2428 2023-01-30 06:26:15,503 - mmseg - INFO - Iter [111050/160000] lr: 1.836e-05, eta: 5:38:01, time: 0.407, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1669, decode.acc_seg: 75.6883, aux.loss_ce: 0.0757, aux.acc_seg: 75.0765, loss: 0.2427 2023-01-30 06:26:35,305 - mmseg - INFO - Iter [111100/160000] lr: 1.834e-05, eta: 5:37:39, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1741, decode.acc_seg: 74.6733, aux.loss_ce: 0.0794, aux.acc_seg: 74.0599, loss: 0.2535 2023-01-30 06:26:57,522 - mmseg - INFO - Iter [111150/160000] lr: 1.832e-05, eta: 5:37:19, time: 0.444, data_time: 0.053, memory: 12319, decode.loss_ce: 0.1625, decode.acc_seg: 75.1791, aux.loss_ce: 0.0738, aux.acc_seg: 74.5393, loss: 0.2363 2023-01-30 06:27:17,225 - mmseg - INFO - Iter [111200/160000] lr: 1.830e-05, eta: 5:36:58, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1629, decode.acc_seg: 73.9803, aux.loss_ce: 0.0750, aux.acc_seg: 73.2893, loss: 0.2379 2023-01-30 06:27:36,939 - mmseg - INFO - Iter [111250/160000] lr: 1.828e-05, eta: 5:36:37, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1740, decode.acc_seg: 76.0063, aux.loss_ce: 0.0788, aux.acc_seg: 75.4095, loss: 0.2527 2023-01-30 06:27:56,709 - mmseg - INFO - Iter [111300/160000] lr: 1.826e-05, eta: 5:36:16, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1636, decode.acc_seg: 73.8839, aux.loss_ce: 0.0750, aux.acc_seg: 73.1984, loss: 0.2386 2023-01-30 06:28:16,346 - mmseg - INFO - Iter [111350/160000] lr: 1.824e-05, eta: 5:35:55, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1653, decode.acc_seg: 75.6160, aux.loss_ce: 0.0750, aux.acc_seg: 75.0130, loss: 0.2404 2023-01-30 06:28:36,202 - mmseg - INFO - Iter [111400/160000] lr: 1.823e-05, eta: 5:35:34, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1778, decode.acc_seg: 75.3321, aux.loss_ce: 0.0822, aux.acc_seg: 74.6644, loss: 0.2600 2023-01-30 06:28:56,139 - mmseg - INFO - Iter [111450/160000] lr: 1.821e-05, eta: 5:35:13, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1659, decode.acc_seg: 75.4860, aux.loss_ce: 0.0755, aux.acc_seg: 74.8811, loss: 0.2413 2023-01-30 06:29:16,126 - mmseg - INFO - Iter [111500/160000] lr: 1.819e-05, eta: 5:34:52, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1596, decode.acc_seg: 76.1282, aux.loss_ce: 0.0739, aux.acc_seg: 75.4386, loss: 0.2336 2023-01-30 06:29:36,088 - mmseg - INFO - Iter [111550/160000] lr: 1.817e-05, eta: 5:34:31, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1658, decode.acc_seg: 75.5386, aux.loss_ce: 0.0756, aux.acc_seg: 74.9060, loss: 0.2414 2023-01-30 06:29:56,056 - mmseg - INFO - Iter [111600/160000] lr: 1.815e-05, eta: 5:34:09, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1692, decode.acc_seg: 74.7771, aux.loss_ce: 0.0761, aux.acc_seg: 74.1847, loss: 0.2453 2023-01-30 06:30:15,799 - mmseg - INFO - Iter [111650/160000] lr: 1.813e-05, eta: 5:33:48, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1583, decode.acc_seg: 74.5931, aux.loss_ce: 0.0731, aux.acc_seg: 73.8841, loss: 0.2314 2023-01-30 06:30:35,480 - mmseg - INFO - Iter [111700/160000] lr: 1.811e-05, eta: 5:33:27, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1692, decode.acc_seg: 74.5659, aux.loss_ce: 0.0773, aux.acc_seg: 73.8958, loss: 0.2464 2023-01-30 06:30:54,992 - mmseg - INFO - Iter [111750/160000] lr: 1.809e-05, eta: 5:33:06, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1812, decode.acc_seg: 75.2449, aux.loss_ce: 0.0808, aux.acc_seg: 74.5633, loss: 0.2620 2023-01-30 06:31:14,439 - mmseg - INFO - Iter [111800/160000] lr: 1.808e-05, eta: 5:32:45, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1692, decode.acc_seg: 74.8427, aux.loss_ce: 0.0780, aux.acc_seg: 74.1305, loss: 0.2472 2023-01-30 06:31:33,839 - mmseg - INFO - Iter [111850/160000] lr: 1.806e-05, eta: 5:32:23, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1750, decode.acc_seg: 74.5902, aux.loss_ce: 0.0791, aux.acc_seg: 74.0628, loss: 0.2541 2023-01-30 06:31:53,366 - mmseg - INFO - Iter [111900/160000] lr: 1.804e-05, eta: 5:32:02, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1735, decode.acc_seg: 73.7980, aux.loss_ce: 0.0791, aux.acc_seg: 73.1263, loss: 0.2526 2023-01-30 06:32:12,896 - mmseg - INFO - Iter [111950/160000] lr: 1.802e-05, eta: 5:31:41, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1777, decode.acc_seg: 75.2725, aux.loss_ce: 0.0811, aux.acc_seg: 74.6285, loss: 0.2588 2023-01-30 06:32:32,685 - mmseg - INFO - Saving checkpoint at 112000 iterations 2023-01-30 06:32:42,519 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 06:32:42,519 - mmseg - INFO - Iter [112000/160000] lr: 1.800e-05, eta: 5:31:24, time: 0.593, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1638, decode.acc_seg: 75.8075, aux.loss_ce: 0.0744, aux.acc_seg: 75.2524, loss: 0.2382 2023-01-30 06:33:11,814 - mmseg - INFO - per class results: 2023-01-30 06:33:11,823 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.1 | 88.65 | | building | 84.61 | 93.55 | | sky | 94.79 | 97.74 | | floor | 83.23 | 91.35 | | tree | 75.88 | 88.98 | | ceiling | 85.41 | 93.48 | | road | 83.77 | 88.94 | | bed | 92.07 | 96.96 | | windowpane | 63.76 | 79.1 | | grass | 66.13 | 81.95 | | cabinet | 63.85 | 74.7 | | sidewalk | 66.76 | 85.25 | | person | 84.24 | 93.8 | | earth | 38.39 | 51.62 | | door | 54.98 | 69.93 | | table | 68.63 | 81.46 | | mountain | 57.38 | 69.85 | | plant | 51.9 | 62.42 | | curtain | 76.57 | 88.98 | | chair | 62.34 | 75.56 | | car | 85.17 | 93.72 | | water | 66.05 | 82.17 | | painting | 74.15 | 90.54 | | sofa | 73.52 | 86.15 | | shelf | 47.23 | 64.5 | | house | 45.83 | 55.19 | | sea | 72.51 | 84.23 | | mirror | 71.41 | 80.41 | | rug | 65.25 | 77.64 | | field | 32.06 | 50.65 | | armchair | 49.55 | 67.78 | | seat | 67.78 | 85.87 | | fence | 51.51 | 66.72 | | desk | 57.4 | 74.54 | | rock | 53.34 | 83.21 | | wardrobe | 55.57 | 71.07 | | lamp | 68.3 | 80.57 | | bathtub | 83.82 | 87.47 | | railing | 38.75 | 50.56 | | cushion | 65.0 | 78.25 | | base | 36.13 | 56.43 | | box | 31.46 | 38.99 | | column | 46.7 | 55.65 | | signboard | 38.93 | 51.29 | | chest of drawers | 38.86 | 59.58 | | counter | 35.34 | 43.06 | | sand | 57.8 | 79.46 | | sink | 78.88 | 85.52 | | skyscraper | 62.63 | 77.72 | | fireplace | 77.08 | 94.8 | | refrigerator | 82.66 | 91.03 | | grandstand | 47.78 | 83.45 | | path | 25.96 | 39.29 | | stairs | 36.08 | 44.37 | | runway | 69.34 | 90.15 | | case | 59.03 | 71.62 | | pool table | 94.8 | 97.74 | | pillow | 63.38 | 72.27 | | screen door | 73.9 | 90.03 | | stairway | 47.16 | 56.83 | | river | 14.35 | 28.59 | | bridge | 75.76 | 89.15 | | bookcase | 41.28 | 61.78 | | blind | 44.5 | 47.71 | | coffee table | 64.31 | 81.84 | | toilet | 88.27 | 92.71 | | flower | 39.66 | 55.81 | | book | 49.96 | 68.69 | | hill | 13.75 | 19.48 | | bench | 50.92 | 56.2 | | countertop | 61.88 | 75.67 | | stove | 79.51 | 90.62 | | palm | 54.0 | 81.19 | | kitchen island | 47.15 | 82.73 | | computer | 79.47 | 91.65 | | swivel chair | 46.95 | 66.17 | | boat | 72.53 | 91.44 | | bar | 50.55 | 73.07 | | arcade machine | 84.94 | 90.82 | | hovel | 49.88 | 60.5 | | bus | 93.07 | 97.03 | | towel | 66.16 | 82.78 | | light | 60.36 | 70.7 | | truck | 45.84 | 55.51 | | tower | 25.5 | 39.87 | | chandelier | 68.88 | 84.85 | | awning | 34.82 | 44.22 | | streetlight | 35.32 | 44.11 | | booth | 60.86 | 63.06 | | television receiver | 75.46 | 86.7 | | airplane | 74.26 | 82.67 | | dirt track | 1.84 | 9.21 | | apparel | 56.06 | 81.06 | | pole | 27.8 | 38.36 | | land | 5.35 | 8.07 | | bannister | 18.85 | 24.34 | | escalator | 54.14 | 71.41 | | ottoman | 49.5 | 69.36 | | bottle | 43.52 | 68.5 | | buffet | 55.88 | 67.73 | | poster | 30.06 | 42.59 | | stage | 25.59 | 42.35 | | van | 48.96 | 67.78 | | ship | 15.9 | 19.68 | | fountain | 25.1 | 25.62 | | conveyer belt | 73.52 | 95.4 | | canopy | 53.31 | 71.72 | | washer | 84.47 | 89.24 | | plaything | 32.44 | 43.24 | | swimming pool | 63.87 | 86.86 | | stool | 39.43 | 66.38 | | barrel | 74.4 | 88.5 | | basket | 42.04 | 58.14 | | waterfall | 48.81 | 60.94 | | tent | 80.16 | 98.31 | | bag | 15.44 | 17.69 | | minibike | 72.44 | 88.26 | | cradle | 83.9 | 97.61 | | oven | 61.92 | 75.54 | | ball | 49.94 | 56.58 | | food | 64.67 | 76.72 | | step | 10.61 | 12.42 | | tank | 63.97 | 66.3 | | trade name | 25.26 | 28.64 | | microwave | 87.41 | 95.36 | | pot | 49.1 | 55.31 | | animal | 65.01 | 67.43 | | bicycle | 58.1 | 81.17 | | lake | 53.06 | 63.84 | | dishwasher | 74.17 | 83.23 | | screen | 59.12 | 96.9 | | blanket | 26.13 | 31.61 | | sculpture | 71.47 | 85.53 | | hood | 59.13 | 69.43 | | sconce | 53.85 | 63.96 | | vase | 45.12 | 63.99 | | traffic light | 38.22 | 58.55 | | tray | 13.27 | 24.22 | | ashcan | 45.25 | 54.46 | | fan | 69.3 | 82.19 | | pier | 35.01 | 43.84 | | crt screen | 6.99 | 12.06 | | plate | 58.8 | 74.86 | | monitor | 41.23 | 54.05 | | bulletin board | 51.42 | 66.1 | | shower | 9.59 | 14.44 | | radiator | 67.67 | 75.46 | | glass | 19.65 | 21.13 | | clock | 49.31 | 59.63 | | flag | 39.31 | 42.15 | +---------------------+-------+-------+ 2023-01-30 06:33:11,823 - mmseg - INFO - Summary: 2023-01-30 06:33:11,823 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.98 | 55.06 | 67.72 | +-------+-------+-------+ 2023-01-30 06:33:12,061 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/segmentation/work_dirs/upernet_uniperceiver_adapter_large_512_160k_ade20k/best_mIoU_iter_80000.pth was removed 2023-01-30 06:33:22,194 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_112000.pth. 2023-01-30 06:33:22,195 - mmseg - INFO - Best mIoU is 0.5506 at 112000 iter. 2023-01-30 06:33:22,204 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 06:33:22,205 - mmseg - INFO - Iter(val) [250] aAcc: 0.8498, mIoU: 0.5506, mAcc: 0.6772, IoU.wall: 0.8010, IoU.building: 0.8461, IoU.sky: 0.9479, IoU.floor: 0.8323, IoU.tree: 0.7588, IoU.ceiling: 0.8541, IoU.road: 0.8377, IoU.bed : 0.9207, IoU.windowpane: 0.6376, IoU.grass: 0.6613, IoU.cabinet: 0.6385, IoU.sidewalk: 0.6676, IoU.person: 0.8424, IoU.earth: 0.3839, IoU.door: 0.5498, IoU.table: 0.6863, IoU.mountain: 0.5738, IoU.plant: 0.5190, IoU.curtain: 0.7657, IoU.chair: 0.6234, IoU.car: 0.8517, IoU.water: 0.6605, IoU.painting: 0.7415, IoU.sofa: 0.7352, IoU.shelf: 0.4723, IoU.house: 0.4583, IoU.sea: 0.7251, IoU.mirror: 0.7141, IoU.rug: 0.6525, IoU.field: 0.3206, IoU.armchair: 0.4955, IoU.seat: 0.6778, IoU.fence: 0.5151, IoU.desk: 0.5740, IoU.rock: 0.5334, IoU.wardrobe: 0.5557, IoU.lamp: 0.6830, IoU.bathtub: 0.8382, IoU.railing: 0.3875, IoU.cushion: 0.6500, IoU.base: 0.3613, IoU.box: 0.3146, IoU.column: 0.4670, IoU.signboard: 0.3893, IoU.chest of drawers: 0.3886, IoU.counter: 0.3534, IoU.sand: 0.5780, IoU.sink: 0.7888, IoU.skyscraper: 0.6263, IoU.fireplace: 0.7708, IoU.refrigerator: 0.8266, IoU.grandstand: 0.4778, IoU.path: 0.2596, IoU.stairs: 0.3608, IoU.runway: 0.6934, IoU.case: 0.5903, IoU.pool table: 0.9480, IoU.pillow: 0.6338, IoU.screen door: 0.7390, IoU.stairway: 0.4716, IoU.river: 0.1435, IoU.bridge: 0.7576, IoU.bookcase: 0.4128, IoU.blind: 0.4450, IoU.coffee table: 0.6431, IoU.toilet: 0.8827, IoU.flower: 0.3966, IoU.book: 0.4996, IoU.hill: 0.1375, IoU.bench: 0.5092, IoU.countertop: 0.6188, IoU.stove: 0.7951, IoU.palm: 0.5400, IoU.kitchen island: 0.4715, IoU.computer: 0.7947, IoU.swivel chair: 0.4695, IoU.boat: 0.7253, IoU.bar: 0.5055, IoU.arcade machine: 0.8494, IoU.hovel: 0.4988, IoU.bus: 0.9307, IoU.towel: 0.6616, IoU.light: 0.6036, IoU.truck: 0.4584, IoU.tower: 0.2550, IoU.chandelier: 0.6888, IoU.awning: 0.3482, IoU.streetlight: 0.3532, IoU.booth: 0.6086, IoU.television receiver: 0.7546, IoU.airplane: 0.7426, IoU.dirt track: 0.0184, IoU.apparel: 0.5606, IoU.pole: 0.2780, IoU.land: 0.0535, IoU.bannister: 0.1885, IoU.escalator: 0.5414, IoU.ottoman: 0.4950, IoU.bottle: 0.4352, IoU.buffet: 0.5588, IoU.poster: 0.3006, IoU.stage: 0.2559, IoU.van: 0.4896, IoU.ship: 0.1590, IoU.fountain: 0.2510, IoU.conveyer belt: 0.7352, IoU.canopy: 0.5331, IoU.washer: 0.8447, IoU.plaything: 0.3244, IoU.swimming pool: 0.6387, IoU.stool: 0.3943, IoU.barrel: 0.7440, IoU.basket: 0.4204, IoU.waterfall: 0.4881, IoU.tent: 0.8016, IoU.bag: 0.1544, IoU.minibike: 0.7244, IoU.cradle: 0.8390, IoU.oven: 0.6192, IoU.ball: 0.4994, IoU.food: 0.6467, IoU.step: 0.1061, IoU.tank: 0.6397, IoU.trade name: 0.2526, IoU.microwave: 0.8741, IoU.pot: 0.4910, IoU.animal: 0.6501, IoU.bicycle: 0.5810, IoU.lake: 0.5306, IoU.dishwasher: 0.7417, IoU.screen: 0.5912, IoU.blanket: 0.2613, IoU.sculpture: 0.7147, IoU.hood: 0.5913, IoU.sconce: 0.5385, IoU.vase: 0.4512, IoU.traffic light: 0.3822, IoU.tray: 0.1327, IoU.ashcan: 0.4525, IoU.fan: 0.6930, IoU.pier: 0.3501, IoU.crt screen: 0.0699, IoU.plate: 0.5880, IoU.monitor: 0.4123, IoU.bulletin board: 0.5142, IoU.shower: 0.0959, IoU.radiator: 0.6767, IoU.glass: 0.1965, IoU.clock: 0.4931, IoU.flag: 0.3931, Acc.wall: 0.8865, Acc.building: 0.9355, Acc.sky: 0.9774, Acc.floor: 0.9135, Acc.tree: 0.8898, Acc.ceiling: 0.9348, Acc.road: 0.8894, Acc.bed : 0.9696, Acc.windowpane: 0.7910, Acc.grass: 0.8195, Acc.cabinet: 0.7470, Acc.sidewalk: 0.8525, Acc.person: 0.9380, Acc.earth: 0.5162, Acc.door: 0.6993, Acc.table: 0.8146, Acc.mountain: 0.6985, Acc.plant: 0.6242, Acc.curtain: 0.8898, Acc.chair: 0.7556, Acc.car: 0.9372, Acc.water: 0.8217, Acc.painting: 0.9054, Acc.sofa: 0.8615, Acc.shelf: 0.6450, Acc.house: 0.5519, Acc.sea: 0.8423, Acc.mirror: 0.8041, Acc.rug: 0.7764, Acc.field: 0.5065, Acc.armchair: 0.6778, Acc.seat: 0.8587, Acc.fence: 0.6672, Acc.desk: 0.7454, Acc.rock: 0.8321, Acc.wardrobe: 0.7107, Acc.lamp: 0.8057, Acc.bathtub: 0.8747, Acc.railing: 0.5056, Acc.cushion: 0.7825, Acc.base: 0.5643, Acc.box: 0.3899, Acc.column: 0.5565, Acc.signboard: 0.5129, Acc.chest of drawers: 0.5958, Acc.counter: 0.4306, Acc.sand: 0.7946, Acc.sink: 0.8552, Acc.skyscraper: 0.7772, Acc.fireplace: 0.9480, Acc.refrigerator: 0.9103, Acc.grandstand: 0.8345, Acc.path: 0.3929, Acc.stairs: 0.4437, Acc.runway: 0.9015, Acc.case: 0.7162, Acc.pool table: 0.9774, Acc.pillow: 0.7227, Acc.screen door: 0.9003, Acc.stairway: 0.5683, Acc.river: 0.2859, Acc.bridge: 0.8915, Acc.bookcase: 0.6178, Acc.blind: 0.4771, Acc.coffee table: 0.8184, Acc.toilet: 0.9271, Acc.flower: 0.5581, Acc.book: 0.6869, Acc.hill: 0.1948, Acc.bench: 0.5620, Acc.countertop: 0.7567, Acc.stove: 0.9062, Acc.palm: 0.8119, Acc.kitchen island: 0.8273, Acc.computer: 0.9165, Acc.swivel chair: 0.6617, Acc.boat: 0.9144, Acc.bar: 0.7307, Acc.arcade machine: 0.9082, Acc.hovel: 0.6050, Acc.bus: 0.9703, Acc.towel: 0.8278, Acc.light: 0.7070, Acc.truck: 0.5551, Acc.tower: 0.3987, Acc.chandelier: 0.8485, Acc.awning: 0.4422, Acc.streetlight: 0.4411, Acc.booth: 0.6306, Acc.television receiver: 0.8670, Acc.airplane: 0.8267, Acc.dirt track: 0.0921, Acc.apparel: 0.8106, Acc.pole: 0.3836, Acc.land: 0.0807, Acc.bannister: 0.2434, Acc.escalator: 0.7141, Acc.ottoman: 0.6936, Acc.bottle: 0.6850, Acc.buffet: 0.6773, Acc.poster: 0.4259, Acc.stage: 0.4235, Acc.van: 0.6778, Acc.ship: 0.1968, Acc.fountain: 0.2562, Acc.conveyer belt: 0.9540, Acc.canopy: 0.7172, Acc.washer: 0.8924, Acc.plaything: 0.4324, Acc.swimming pool: 0.8686, Acc.stool: 0.6638, Acc.barrel: 0.8850, Acc.basket: 0.5814, Acc.waterfall: 0.6094, Acc.tent: 0.9831, Acc.bag: 0.1769, Acc.minibike: 0.8826, Acc.cradle: 0.9761, Acc.oven: 0.7554, Acc.ball: 0.5658, Acc.food: 0.7672, Acc.step: 0.1242, Acc.tank: 0.6630, Acc.trade name: 0.2864, Acc.microwave: 0.9536, Acc.pot: 0.5531, Acc.animal: 0.6743, Acc.bicycle: 0.8117, Acc.lake: 0.6384, Acc.dishwasher: 0.8323, Acc.screen: 0.9690, Acc.blanket: 0.3161, Acc.sculpture: 0.8553, Acc.hood: 0.6943, Acc.sconce: 0.6396, Acc.vase: 0.6399, Acc.traffic light: 0.5855, Acc.tray: 0.2422, Acc.ashcan: 0.5446, Acc.fan: 0.8219, Acc.pier: 0.4384, Acc.crt screen: 0.1206, Acc.plate: 0.7486, Acc.monitor: 0.5405, Acc.bulletin board: 0.6610, Acc.shower: 0.1444, Acc.radiator: 0.7546, Acc.glass: 0.2113, Acc.clock: 0.5963, Acc.flag: 0.4215 2023-01-30 06:33:42,282 - mmseg - INFO - Iter [112050/160000] lr: 1.798e-05, eta: 5:31:20, time: 1.195, data_time: 0.798, memory: 12319, decode.loss_ce: 0.1643, decode.acc_seg: 73.9609, aux.loss_ce: 0.0744, aux.acc_seg: 73.3618, loss: 0.2388 2023-01-30 06:34:02,155 - mmseg - INFO - Iter [112100/160000] lr: 1.796e-05, eta: 5:30:59, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1723, decode.acc_seg: 74.2254, aux.loss_ce: 0.0787, aux.acc_seg: 73.6547, loss: 0.2510 2023-01-30 06:34:22,064 - mmseg - INFO - Iter [112150/160000] lr: 1.794e-05, eta: 5:30:38, time: 0.398, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1676, decode.acc_seg: 74.0086, aux.loss_ce: 0.0775, aux.acc_seg: 73.2473, loss: 0.2451 2023-01-30 06:34:42,018 - mmseg - INFO - Iter [112200/160000] lr: 1.793e-05, eta: 5:30:17, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1623, decode.acc_seg: 74.5548, aux.loss_ce: 0.0741, aux.acc_seg: 73.8810, loss: 0.2363 2023-01-30 06:35:01,704 - mmseg - INFO - Iter [112250/160000] lr: 1.791e-05, eta: 5:29:56, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1815, decode.acc_seg: 74.6154, aux.loss_ce: 0.0822, aux.acc_seg: 73.9955, loss: 0.2638 2023-01-30 06:35:21,319 - mmseg - INFO - Iter [112300/160000] lr: 1.789e-05, eta: 5:29:34, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1726, decode.acc_seg: 75.5422, aux.loss_ce: 0.0773, aux.acc_seg: 74.9725, loss: 0.2499 2023-01-30 06:35:40,954 - mmseg - INFO - Iter [112350/160000] lr: 1.787e-05, eta: 5:29:13, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1703, decode.acc_seg: 73.8614, aux.loss_ce: 0.0779, aux.acc_seg: 73.1884, loss: 0.2482 2023-01-30 06:36:00,546 - mmseg - INFO - Iter [112400/160000] lr: 1.785e-05, eta: 5:28:52, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1713, decode.acc_seg: 74.8240, aux.loss_ce: 0.0781, aux.acc_seg: 74.1860, loss: 0.2494 2023-01-30 06:36:22,461 - mmseg - INFO - Iter [112450/160000] lr: 1.783e-05, eta: 5:28:32, time: 0.438, data_time: 0.052, memory: 12319, decode.loss_ce: 0.1600, decode.acc_seg: 74.0834, aux.loss_ce: 0.0725, aux.acc_seg: 73.4896, loss: 0.2325 2023-01-30 06:36:42,176 - mmseg - INFO - Iter [112500/160000] lr: 1.781e-05, eta: 5:28:11, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1700, decode.acc_seg: 75.2565, aux.loss_ce: 0.0773, aux.acc_seg: 74.6271, loss: 0.2472 2023-01-30 06:37:01,860 - mmseg - INFO - Iter [112550/160000] lr: 1.779e-05, eta: 5:27:50, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1588, decode.acc_seg: 75.0326, aux.loss_ce: 0.0726, aux.acc_seg: 74.3320, loss: 0.2314 2023-01-30 06:37:21,887 - mmseg - INFO - Iter [112600/160000] lr: 1.778e-05, eta: 5:27:29, time: 0.400, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1721, decode.acc_seg: 74.3629, aux.loss_ce: 0.0786, aux.acc_seg: 73.6945, loss: 0.2507 2023-01-30 06:37:41,787 - mmseg - INFO - Iter [112650/160000] lr: 1.776e-05, eta: 5:27:07, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1684, decode.acc_seg: 75.7577, aux.loss_ce: 0.0771, aux.acc_seg: 75.1406, loss: 0.2454 2023-01-30 06:38:01,448 - mmseg - INFO - Iter [112700/160000] lr: 1.774e-05, eta: 5:26:46, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1619, decode.acc_seg: 75.5519, aux.loss_ce: 0.0742, aux.acc_seg: 74.8447, loss: 0.2361 2023-01-30 06:38:21,070 - mmseg - INFO - Iter [112750/160000] lr: 1.772e-05, eta: 5:26:25, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1645, decode.acc_seg: 75.8033, aux.loss_ce: 0.0751, aux.acc_seg: 75.1630, loss: 0.2396 2023-01-30 06:38:41,072 - mmseg - INFO - Iter [112800/160000] lr: 1.770e-05, eta: 5:26:04, time: 0.400, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1567, decode.acc_seg: 74.7640, aux.loss_ce: 0.0714, aux.acc_seg: 74.0905, loss: 0.2280 2023-01-30 06:39:00,696 - mmseg - INFO - Iter [112850/160000] lr: 1.768e-05, eta: 5:25:43, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1679, decode.acc_seg: 75.9372, aux.loss_ce: 0.0763, aux.acc_seg: 75.2556, loss: 0.2442 2023-01-30 06:39:20,689 - mmseg - INFO - Iter [112900/160000] lr: 1.766e-05, eta: 5:25:22, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1688, decode.acc_seg: 74.5813, aux.loss_ce: 0.0769, aux.acc_seg: 73.9737, loss: 0.2457 2023-01-30 06:39:40,410 - mmseg - INFO - Iter [112950/160000] lr: 1.764e-05, eta: 5:25:01, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1537, decode.acc_seg: 73.9103, aux.loss_ce: 0.0703, aux.acc_seg: 73.3441, loss: 0.2240 2023-01-30 06:40:00,214 - mmseg - INFO - Saving checkpoint at 113000 iterations 2023-01-30 06:40:10,625 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 06:40:10,625 - mmseg - INFO - Iter [113000/160000] lr: 1.763e-05, eta: 5:24:44, time: 0.607, data_time: 0.007, memory: 12319, decode.loss_ce: 0.1646, decode.acc_seg: 75.2023, aux.loss_ce: 0.0741, aux.acc_seg: 74.5821, loss: 0.2387 2023-01-30 06:40:30,334 - mmseg - INFO - Iter [113050/160000] lr: 1.761e-05, eta: 5:24:23, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1664, decode.acc_seg: 76.2427, aux.loss_ce: 0.0764, aux.acc_seg: 75.5069, loss: 0.2427 2023-01-30 06:40:50,354 - mmseg - INFO - Iter [113100/160000] lr: 1.759e-05, eta: 5:24:02, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1602, decode.acc_seg: 76.0406, aux.loss_ce: 0.0729, aux.acc_seg: 75.3885, loss: 0.2331 2023-01-30 06:41:10,207 - mmseg - INFO - Iter [113150/160000] lr: 1.757e-05, eta: 5:23:41, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1654, decode.acc_seg: 74.8953, aux.loss_ce: 0.0757, aux.acc_seg: 74.2604, loss: 0.2411 2023-01-30 06:41:30,066 - mmseg - INFO - Iter [113200/160000] lr: 1.755e-05, eta: 5:23:20, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1677, decode.acc_seg: 75.7357, aux.loss_ce: 0.0761, aux.acc_seg: 75.1227, loss: 0.2439 2023-01-30 06:41:49,802 - mmseg - INFO - Iter [113250/160000] lr: 1.753e-05, eta: 5:22:58, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1672, decode.acc_seg: 74.6080, aux.loss_ce: 0.0766, aux.acc_seg: 73.8820, loss: 0.2438 2023-01-30 06:42:09,424 - mmseg - INFO - Iter [113300/160000] lr: 1.751e-05, eta: 5:22:37, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1765, decode.acc_seg: 76.1625, aux.loss_ce: 0.0802, aux.acc_seg: 75.4837, loss: 0.2567 2023-01-30 06:42:29,033 - mmseg - INFO - Iter [113350/160000] lr: 1.749e-05, eta: 5:22:16, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1632, decode.acc_seg: 75.6039, aux.loss_ce: 0.0736, aux.acc_seg: 75.0366, loss: 0.2368 2023-01-30 06:42:48,704 - mmseg - INFO - Iter [113400/160000] lr: 1.748e-05, eta: 5:21:55, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1663, decode.acc_seg: 74.7411, aux.loss_ce: 0.0755, aux.acc_seg: 74.1459, loss: 0.2418 2023-01-30 06:43:08,424 - mmseg - INFO - Iter [113450/160000] lr: 1.746e-05, eta: 5:21:34, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1665, decode.acc_seg: 75.3772, aux.loss_ce: 0.0755, aux.acc_seg: 74.7310, loss: 0.2420 2023-01-30 06:43:28,266 - mmseg - INFO - Iter [113500/160000] lr: 1.744e-05, eta: 5:21:13, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1731, decode.acc_seg: 74.9456, aux.loss_ce: 0.0798, aux.acc_seg: 74.1986, loss: 0.2529 2023-01-30 06:43:48,188 - mmseg - INFO - Iter [113550/160000] lr: 1.742e-05, eta: 5:20:52, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1757, decode.acc_seg: 74.6763, aux.loss_ce: 0.0808, aux.acc_seg: 73.9115, loss: 0.2565 2023-01-30 06:44:07,914 - mmseg - INFO - Iter [113600/160000] lr: 1.740e-05, eta: 5:20:30, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1778, decode.acc_seg: 74.1076, aux.loss_ce: 0.0806, aux.acc_seg: 73.4665, loss: 0.2584 2023-01-30 06:44:27,679 - mmseg - INFO - Iter [113650/160000] lr: 1.738e-05, eta: 5:20:09, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1713, decode.acc_seg: 75.5457, aux.loss_ce: 0.0780, aux.acc_seg: 74.8942, loss: 0.2493 2023-01-30 06:44:49,837 - mmseg - INFO - Iter [113700/160000] lr: 1.736e-05, eta: 5:19:49, time: 0.443, data_time: 0.051, memory: 12319, decode.loss_ce: 0.1658, decode.acc_seg: 75.1009, aux.loss_ce: 0.0758, aux.acc_seg: 74.4855, loss: 0.2415 2023-01-30 06:45:09,454 - mmseg - INFO - Iter [113750/160000] lr: 1.734e-05, eta: 5:19:28, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1691, decode.acc_seg: 75.7776, aux.loss_ce: 0.0763, aux.acc_seg: 75.1915, loss: 0.2454 2023-01-30 06:45:28,994 - mmseg - INFO - Iter [113800/160000] lr: 1.733e-05, eta: 5:19:07, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1646, decode.acc_seg: 75.2701, aux.loss_ce: 0.0753, aux.acc_seg: 74.6688, loss: 0.2399 2023-01-30 06:45:48,706 - mmseg - INFO - Iter [113850/160000] lr: 1.731e-05, eta: 5:18:46, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1683, decode.acc_seg: 75.5448, aux.loss_ce: 0.0767, aux.acc_seg: 74.9194, loss: 0.2450 2023-01-30 06:46:08,507 - mmseg - INFO - Iter [113900/160000] lr: 1.729e-05, eta: 5:18:25, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1741, decode.acc_seg: 75.9188, aux.loss_ce: 0.0798, aux.acc_seg: 75.1985, loss: 0.2539 2023-01-30 06:46:28,227 - mmseg - INFO - Iter [113950/160000] lr: 1.727e-05, eta: 5:18:04, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1684, decode.acc_seg: 74.2727, aux.loss_ce: 0.0759, aux.acc_seg: 73.7936, loss: 0.2443 2023-01-30 06:46:48,007 - mmseg - INFO - Saving checkpoint at 114000 iterations 2023-01-30 06:46:58,738 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 06:46:58,743 - mmseg - INFO - Iter [114000/160000] lr: 1.725e-05, eta: 5:17:47, time: 0.610, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1701, decode.acc_seg: 74.1434, aux.loss_ce: 0.0780, aux.acc_seg: 73.4429, loss: 0.2481 2023-01-30 06:47:18,683 - mmseg - INFO - Iter [114050/160000] lr: 1.723e-05, eta: 5:17:26, time: 0.400, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1631, decode.acc_seg: 74.8653, aux.loss_ce: 0.0745, aux.acc_seg: 74.2385, loss: 0.2376 2023-01-30 06:47:38,522 - mmseg - INFO - Iter [114100/160000] lr: 1.721e-05, eta: 5:17:05, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1733, decode.acc_seg: 75.8606, aux.loss_ce: 0.0790, aux.acc_seg: 75.2799, loss: 0.2523 2023-01-30 06:47:58,303 - mmseg - INFO - Iter [114150/160000] lr: 1.719e-05, eta: 5:16:44, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1670, decode.acc_seg: 75.0663, aux.loss_ce: 0.0763, aux.acc_seg: 74.4409, loss: 0.2433 2023-01-30 06:48:18,116 - mmseg - INFO - Iter [114200/160000] lr: 1.718e-05, eta: 5:16:22, time: 0.396, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1619, decode.acc_seg: 76.2766, aux.loss_ce: 0.0739, aux.acc_seg: 75.6090, loss: 0.2358 2023-01-30 06:48:37,815 - mmseg - INFO - Iter [114250/160000] lr: 1.716e-05, eta: 5:16:01, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1669, decode.acc_seg: 74.1495, aux.loss_ce: 0.0773, aux.acc_seg: 73.3902, loss: 0.2442 2023-01-30 06:48:57,623 - mmseg - INFO - Iter [114300/160000] lr: 1.714e-05, eta: 5:15:40, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1670, decode.acc_seg: 75.3013, aux.loss_ce: 0.0769, aux.acc_seg: 74.6142, loss: 0.2440 2023-01-30 06:49:17,271 - mmseg - INFO - Iter [114350/160000] lr: 1.712e-05, eta: 5:15:19, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1700, decode.acc_seg: 75.6639, aux.loss_ce: 0.0776, aux.acc_seg: 75.0316, loss: 0.2476 2023-01-30 06:49:36,772 - mmseg - INFO - Iter [114400/160000] lr: 1.710e-05, eta: 5:14:58, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1683, decode.acc_seg: 74.3184, aux.loss_ce: 0.0775, aux.acc_seg: 73.6479, loss: 0.2458 2023-01-30 06:49:56,232 - mmseg - INFO - Iter [114450/160000] lr: 1.708e-05, eta: 5:14:37, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1638, decode.acc_seg: 75.8917, aux.loss_ce: 0.0746, aux.acc_seg: 75.2424, loss: 0.2385 2023-01-30 06:50:15,771 - mmseg - INFO - Iter [114500/160000] lr: 1.706e-05, eta: 5:14:15, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1738, decode.acc_seg: 74.4268, aux.loss_ce: 0.0799, aux.acc_seg: 73.6294, loss: 0.2537 2023-01-30 06:50:35,146 - mmseg - INFO - Iter [114550/160000] lr: 1.704e-05, eta: 5:13:54, time: 0.387, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1569, decode.acc_seg: 74.1498, aux.loss_ce: 0.0716, aux.acc_seg: 73.5397, loss: 0.2286 2023-01-30 06:50:54,882 - mmseg - INFO - Iter [114600/160000] lr: 1.703e-05, eta: 5:13:33, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1645, decode.acc_seg: 75.0981, aux.loss_ce: 0.0752, aux.acc_seg: 74.5462, loss: 0.2398 2023-01-30 06:51:14,547 - mmseg - INFO - Iter [114650/160000] lr: 1.701e-05, eta: 5:13:12, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1635, decode.acc_seg: 76.8245, aux.loss_ce: 0.0755, aux.acc_seg: 76.1374, loss: 0.2390 2023-01-30 06:51:34,073 - mmseg - INFO - Iter [114700/160000] lr: 1.699e-05, eta: 5:12:51, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1654, decode.acc_seg: 75.3878, aux.loss_ce: 0.0752, aux.acc_seg: 74.6597, loss: 0.2405 2023-01-30 06:51:53,822 - mmseg - INFO - Iter [114750/160000] lr: 1.697e-05, eta: 5:12:30, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1700, decode.acc_seg: 74.1944, aux.loss_ce: 0.0767, aux.acc_seg: 73.5517, loss: 0.2466 2023-01-30 06:52:13,400 - mmseg - INFO - Iter [114800/160000] lr: 1.695e-05, eta: 5:12:08, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1631, decode.acc_seg: 75.1435, aux.loss_ce: 0.0745, aux.acc_seg: 74.4829, loss: 0.2376 2023-01-30 06:52:32,752 - mmseg - INFO - Iter [114850/160000] lr: 1.693e-05, eta: 5:11:47, time: 0.387, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1662, decode.acc_seg: 73.2430, aux.loss_ce: 0.0760, aux.acc_seg: 72.5396, loss: 0.2422 2023-01-30 06:52:52,494 - mmseg - INFO - Iter [114900/160000] lr: 1.691e-05, eta: 5:11:26, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1746, decode.acc_seg: 75.0971, aux.loss_ce: 0.0804, aux.acc_seg: 74.3902, loss: 0.2550 2023-01-30 06:53:14,770 - mmseg - INFO - Iter [114950/160000] lr: 1.689e-05, eta: 5:11:06, time: 0.446, data_time: 0.052, memory: 12319, decode.loss_ce: 0.1651, decode.acc_seg: 76.0714, aux.loss_ce: 0.0754, aux.acc_seg: 75.4367, loss: 0.2405 2023-01-30 06:53:34,680 - mmseg - INFO - Saving checkpoint at 115000 iterations 2023-01-30 06:53:44,812 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 06:53:44,812 - mmseg - INFO - Iter [115000/160000] lr: 1.688e-05, eta: 5:10:49, time: 0.601, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1552, decode.acc_seg: 75.6088, aux.loss_ce: 0.0717, aux.acc_seg: 74.9132, loss: 0.2269 2023-01-30 06:54:04,738 - mmseg - INFO - Iter [115050/160000] lr: 1.686e-05, eta: 5:10:28, time: 0.398, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1609, decode.acc_seg: 75.0444, aux.loss_ce: 0.0731, aux.acc_seg: 74.4472, loss: 0.2339 2023-01-30 06:54:24,591 - mmseg - INFO - Iter [115100/160000] lr: 1.684e-05, eta: 5:10:07, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1660, decode.acc_seg: 76.2884, aux.loss_ce: 0.0748, aux.acc_seg: 75.6383, loss: 0.2408 2023-01-30 06:54:44,324 - mmseg - INFO - Iter [115150/160000] lr: 1.682e-05, eta: 5:09:46, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1602, decode.acc_seg: 77.1744, aux.loss_ce: 0.0731, aux.acc_seg: 76.5251, loss: 0.2333 2023-01-30 06:55:03,935 - mmseg - INFO - Iter [115200/160000] lr: 1.680e-05, eta: 5:09:25, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1634, decode.acc_seg: 75.5014, aux.loss_ce: 0.0752, aux.acc_seg: 74.7663, loss: 0.2385 2023-01-30 06:55:23,598 - mmseg - INFO - Iter [115250/160000] lr: 1.678e-05, eta: 5:09:03, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1694, decode.acc_seg: 75.4691, aux.loss_ce: 0.0768, aux.acc_seg: 74.8731, loss: 0.2462 2023-01-30 06:55:43,440 - mmseg - INFO - Iter [115300/160000] lr: 1.676e-05, eta: 5:08:42, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1616, decode.acc_seg: 75.1161, aux.loss_ce: 0.0732, aux.acc_seg: 74.4199, loss: 0.2348 2023-01-30 06:56:03,220 - mmseg - INFO - Iter [115350/160000] lr: 1.674e-05, eta: 5:08:21, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1614, decode.acc_seg: 74.5667, aux.loss_ce: 0.0743, aux.acc_seg: 73.8778, loss: 0.2357 2023-01-30 06:56:22,996 - mmseg - INFO - Iter [115400/160000] lr: 1.673e-05, eta: 5:08:00, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1697, decode.acc_seg: 74.9046, aux.loss_ce: 0.0777, aux.acc_seg: 74.2342, loss: 0.2474 2023-01-30 06:56:42,909 - mmseg - INFO - Iter [115450/160000] lr: 1.671e-05, eta: 5:07:39, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1657, decode.acc_seg: 75.3127, aux.loss_ce: 0.0752, aux.acc_seg: 74.7058, loss: 0.2409 2023-01-30 06:57:02,735 - mmseg - INFO - Iter [115500/160000] lr: 1.669e-05, eta: 5:07:18, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1598, decode.acc_seg: 74.2082, aux.loss_ce: 0.0731, aux.acc_seg: 73.5554, loss: 0.2330 2023-01-30 06:57:22,423 - mmseg - INFO - Iter [115550/160000] lr: 1.667e-05, eta: 5:06:57, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1629, decode.acc_seg: 73.4535, aux.loss_ce: 0.0756, aux.acc_seg: 72.7600, loss: 0.2385 2023-01-30 06:57:42,293 - mmseg - INFO - Iter [115600/160000] lr: 1.665e-05, eta: 5:06:36, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1577, decode.acc_seg: 75.3763, aux.loss_ce: 0.0732, aux.acc_seg: 74.6628, loss: 0.2309 2023-01-30 06:58:01,997 - mmseg - INFO - Iter [115650/160000] lr: 1.663e-05, eta: 5:06:15, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1610, decode.acc_seg: 75.8570, aux.loss_ce: 0.0734, aux.acc_seg: 75.2932, loss: 0.2344 2023-01-30 06:58:21,582 - mmseg - INFO - Iter [115700/160000] lr: 1.661e-05, eta: 5:05:54, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1697, decode.acc_seg: 74.4171, aux.loss_ce: 0.0773, aux.acc_seg: 73.7683, loss: 0.2470 2023-01-30 06:58:41,011 - mmseg - INFO - Iter [115750/160000] lr: 1.659e-05, eta: 5:05:33, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1746, decode.acc_seg: 75.0909, aux.loss_ce: 0.0796, aux.acc_seg: 74.4097, loss: 0.2541 2023-01-30 06:59:00,678 - mmseg - INFO - Iter [115800/160000] lr: 1.658e-05, eta: 5:05:11, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1619, decode.acc_seg: 75.8431, aux.loss_ce: 0.0734, aux.acc_seg: 75.2562, loss: 0.2353 2023-01-30 06:59:20,234 - mmseg - INFO - Iter [115850/160000] lr: 1.656e-05, eta: 5:04:50, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1837, decode.acc_seg: 75.1619, aux.loss_ce: 0.0833, aux.acc_seg: 74.5208, loss: 0.2670 2023-01-30 06:59:39,899 - mmseg - INFO - Iter [115900/160000] lr: 1.654e-05, eta: 5:04:29, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1694, decode.acc_seg: 75.3512, aux.loss_ce: 0.0781, aux.acc_seg: 74.6213, loss: 0.2475 2023-01-30 06:59:59,420 - mmseg - INFO - Iter [115950/160000] lr: 1.652e-05, eta: 5:04:08, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1658, decode.acc_seg: 75.7494, aux.loss_ce: 0.0753, aux.acc_seg: 75.0667, loss: 0.2411 2023-01-30 07:00:18,759 - mmseg - INFO - Saving checkpoint at 116000 iterations 2023-01-30 07:00:29,611 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 07:00:29,612 - mmseg - INFO - Iter [116000/160000] lr: 1.650e-05, eta: 5:03:51, time: 0.604, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1574, decode.acc_seg: 76.6602, aux.loss_ce: 0.0718, aux.acc_seg: 76.0589, loss: 0.2292 2023-01-30 07:00:49,714 - mmseg - INFO - Iter [116050/160000] lr: 1.648e-05, eta: 5:03:30, time: 0.402, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1710, decode.acc_seg: 75.4945, aux.loss_ce: 0.0784, aux.acc_seg: 74.8686, loss: 0.2493 2023-01-30 07:01:09,539 - mmseg - INFO - Iter [116100/160000] lr: 1.646e-05, eta: 5:03:09, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1726, decode.acc_seg: 74.6611, aux.loss_ce: 0.0783, aux.acc_seg: 73.9685, loss: 0.2509 2023-01-30 07:01:29,232 - mmseg - INFO - Iter [116150/160000] lr: 1.644e-05, eta: 5:02:48, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1639, decode.acc_seg: 75.5323, aux.loss_ce: 0.0746, aux.acc_seg: 74.8888, loss: 0.2386 2023-01-30 07:01:51,746 - mmseg - INFO - Iter [116200/160000] lr: 1.643e-05, eta: 5:02:28, time: 0.450, data_time: 0.052, memory: 12319, decode.loss_ce: 0.1692, decode.acc_seg: 73.9751, aux.loss_ce: 0.0772, aux.acc_seg: 73.3154, loss: 0.2463 2023-01-30 07:02:11,954 - mmseg - INFO - Iter [116250/160000] lr: 1.641e-05, eta: 5:02:07, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1653, decode.acc_seg: 75.1131, aux.loss_ce: 0.0745, aux.acc_seg: 74.5333, loss: 0.2397 2023-01-30 07:02:31,725 - mmseg - INFO - Iter [116300/160000] lr: 1.639e-05, eta: 5:01:46, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1648, decode.acc_seg: 76.0663, aux.loss_ce: 0.0752, aux.acc_seg: 75.4754, loss: 0.2400 2023-01-30 07:02:51,669 - mmseg - INFO - Iter [116350/160000] lr: 1.637e-05, eta: 5:01:25, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1615, decode.acc_seg: 75.4509, aux.loss_ce: 0.0743, aux.acc_seg: 74.7566, loss: 0.2358 2023-01-30 07:03:11,608 - mmseg - INFO - Iter [116400/160000] lr: 1.635e-05, eta: 5:01:04, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1768, decode.acc_seg: 75.1675, aux.loss_ce: 0.0801, aux.acc_seg: 74.5642, loss: 0.2569 2023-01-30 07:03:31,416 - mmseg - INFO - Iter [116450/160000] lr: 1.633e-05, eta: 5:00:43, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1731, decode.acc_seg: 76.4344, aux.loss_ce: 0.0791, aux.acc_seg: 75.6818, loss: 0.2522 2023-01-30 07:03:51,307 - mmseg - INFO - Iter [116500/160000] lr: 1.631e-05, eta: 5:00:22, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1644, decode.acc_seg: 77.3565, aux.loss_ce: 0.0752, aux.acc_seg: 76.7067, loss: 0.2396 2023-01-30 07:04:11,169 - mmseg - INFO - Iter [116550/160000] lr: 1.629e-05, eta: 5:00:01, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1627, decode.acc_seg: 75.9119, aux.loss_ce: 0.0748, aux.acc_seg: 75.3027, loss: 0.2376 2023-01-30 07:04:30,857 - mmseg - INFO - Iter [116600/160000] lr: 1.628e-05, eta: 4:59:39, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1646, decode.acc_seg: 74.7913, aux.loss_ce: 0.0756, aux.acc_seg: 74.0552, loss: 0.2402 2023-01-30 07:04:50,640 - mmseg - INFO - Iter [116650/160000] lr: 1.626e-05, eta: 4:59:18, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1564, decode.acc_seg: 74.0734, aux.loss_ce: 0.0715, aux.acc_seg: 73.4334, loss: 0.2278 2023-01-30 07:05:10,314 - mmseg - INFO - Iter [116700/160000] lr: 1.624e-05, eta: 4:58:57, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1749, decode.acc_seg: 75.0427, aux.loss_ce: 0.0796, aux.acc_seg: 74.2220, loss: 0.2545 2023-01-30 07:05:29,917 - mmseg - INFO - Iter [116750/160000] lr: 1.622e-05, eta: 4:58:36, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1721, decode.acc_seg: 74.7665, aux.loss_ce: 0.0787, aux.acc_seg: 74.0715, loss: 0.2508 2023-01-30 07:05:49,961 - mmseg - INFO - Iter [116800/160000] lr: 1.620e-05, eta: 4:58:15, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1644, decode.acc_seg: 74.7879, aux.loss_ce: 0.0750, aux.acc_seg: 74.1938, loss: 0.2394 2023-01-30 07:06:10,047 - mmseg - INFO - Iter [116850/160000] lr: 1.618e-05, eta: 4:57:54, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1778, decode.acc_seg: 75.9591, aux.loss_ce: 0.0803, aux.acc_seg: 75.2793, loss: 0.2581 2023-01-30 07:06:29,597 - mmseg - INFO - Iter [116900/160000] lr: 1.616e-05, eta: 4:57:33, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1711, decode.acc_seg: 76.5664, aux.loss_ce: 0.0785, aux.acc_seg: 75.8049, loss: 0.2495 2023-01-30 07:06:49,233 - mmseg - INFO - Iter [116950/160000] lr: 1.614e-05, eta: 4:57:12, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1546, decode.acc_seg: 74.6390, aux.loss_ce: 0.0708, aux.acc_seg: 73.9801, loss: 0.2254 2023-01-30 07:07:08,939 - mmseg - INFO - Saving checkpoint at 117000 iterations 2023-01-30 07:07:20,085 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 07:07:20,086 - mmseg - INFO - Iter [117000/160000] lr: 1.613e-05, eta: 4:56:55, time: 0.616, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1602, decode.acc_seg: 74.1461, aux.loss_ce: 0.0732, aux.acc_seg: 73.4771, loss: 0.2333 2023-01-30 07:07:40,086 - mmseg - INFO - Iter [117050/160000] lr: 1.611e-05, eta: 4:56:34, time: 0.401, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1667, decode.acc_seg: 75.4070, aux.loss_ce: 0.0772, aux.acc_seg: 74.6589, loss: 0.2439 2023-01-30 07:07:59,488 - mmseg - INFO - Iter [117100/160000] lr: 1.609e-05, eta: 4:56:13, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1682, decode.acc_seg: 75.2951, aux.loss_ce: 0.0772, aux.acc_seg: 74.5831, loss: 0.2455 2023-01-30 07:08:19,042 - mmseg - INFO - Iter [117150/160000] lr: 1.607e-05, eta: 4:55:52, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1715, decode.acc_seg: 74.5728, aux.loss_ce: 0.0774, aux.acc_seg: 73.9626, loss: 0.2489 2023-01-30 07:08:38,848 - mmseg - INFO - Iter [117200/160000] lr: 1.605e-05, eta: 4:55:31, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1773, decode.acc_seg: 75.2142, aux.loss_ce: 0.0805, aux.acc_seg: 74.5494, loss: 0.2578 2023-01-30 07:08:58,664 - mmseg - INFO - Iter [117250/160000] lr: 1.603e-05, eta: 4:55:10, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1748, decode.acc_seg: 74.7265, aux.loss_ce: 0.0797, aux.acc_seg: 74.1315, loss: 0.2545 2023-01-30 07:09:18,463 - mmseg - INFO - Iter [117300/160000] lr: 1.601e-05, eta: 4:54:49, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1753, decode.acc_seg: 76.1049, aux.loss_ce: 0.0795, aux.acc_seg: 75.3902, loss: 0.2548 2023-01-30 07:09:38,280 - mmseg - INFO - Iter [117350/160000] lr: 1.599e-05, eta: 4:54:28, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1745, decode.acc_seg: 76.5383, aux.loss_ce: 0.0801, aux.acc_seg: 75.8650, loss: 0.2546 2023-01-30 07:09:58,090 - mmseg - INFO - Iter [117400/160000] lr: 1.598e-05, eta: 4:54:07, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1582, decode.acc_seg: 74.3630, aux.loss_ce: 0.0729, aux.acc_seg: 73.7965, loss: 0.2310 2023-01-30 07:10:17,744 - mmseg - INFO - Iter [117450/160000] lr: 1.596e-05, eta: 4:53:45, time: 0.393, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1680, decode.acc_seg: 75.1153, aux.loss_ce: 0.0774, aux.acc_seg: 74.3837, loss: 0.2454 2023-01-30 07:10:40,145 - mmseg - INFO - Iter [117500/160000] lr: 1.594e-05, eta: 4:53:25, time: 0.448, data_time: 0.050, memory: 12319, decode.loss_ce: 0.1615, decode.acc_seg: 75.3515, aux.loss_ce: 0.0744, aux.acc_seg: 74.6722, loss: 0.2359 2023-01-30 07:10:59,644 - mmseg - INFO - Iter [117550/160000] lr: 1.592e-05, eta: 4:53:04, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1647, decode.acc_seg: 74.0009, aux.loss_ce: 0.0754, aux.acc_seg: 73.3328, loss: 0.2401 2023-01-30 07:11:19,492 - mmseg - INFO - Iter [117600/160000] lr: 1.590e-05, eta: 4:52:43, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1571, decode.acc_seg: 74.9050, aux.loss_ce: 0.0713, aux.acc_seg: 74.2470, loss: 0.2284 2023-01-30 07:11:39,320 - mmseg - INFO - Iter [117650/160000] lr: 1.588e-05, eta: 4:52:22, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1580, decode.acc_seg: 75.9214, aux.loss_ce: 0.0724, aux.acc_seg: 75.2415, loss: 0.2304 2023-01-30 07:11:59,319 - mmseg - INFO - Iter [117700/160000] lr: 1.586e-05, eta: 4:52:01, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1665, decode.acc_seg: 75.8895, aux.loss_ce: 0.0767, aux.acc_seg: 75.0915, loss: 0.2433 2023-01-30 07:12:19,254 - mmseg - INFO - Iter [117750/160000] lr: 1.584e-05, eta: 4:51:40, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1612, decode.acc_seg: 76.1197, aux.loss_ce: 0.0739, aux.acc_seg: 75.4635, loss: 0.2350 2023-01-30 07:12:38,978 - mmseg - INFO - Iter [117800/160000] lr: 1.583e-05, eta: 4:51:19, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1704, decode.acc_seg: 75.2017, aux.loss_ce: 0.0785, aux.acc_seg: 74.5524, loss: 0.2489 2023-01-30 07:12:58,935 - mmseg - INFO - Iter [117850/160000] lr: 1.581e-05, eta: 4:50:58, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1701, decode.acc_seg: 75.0404, aux.loss_ce: 0.0786, aux.acc_seg: 74.2528, loss: 0.2488 2023-01-30 07:13:18,991 - mmseg - INFO - Iter [117900/160000] lr: 1.579e-05, eta: 4:50:37, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1578, decode.acc_seg: 75.7607, aux.loss_ce: 0.0724, aux.acc_seg: 75.1236, loss: 0.2302 2023-01-30 07:13:39,028 - mmseg - INFO - Iter [117950/160000] lr: 1.577e-05, eta: 4:50:16, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1653, decode.acc_seg: 74.0037, aux.loss_ce: 0.0765, aux.acc_seg: 73.3229, loss: 0.2418 2023-01-30 07:13:58,816 - mmseg - INFO - Saving checkpoint at 118000 iterations 2023-01-30 07:14:08,823 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 07:14:08,824 - mmseg - INFO - Iter [118000/160000] lr: 1.575e-05, eta: 4:49:59, time: 0.596, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1534, decode.acc_seg: 73.9780, aux.loss_ce: 0.0704, aux.acc_seg: 73.3291, loss: 0.2238 2023-01-30 07:14:28,995 - mmseg - INFO - Iter [118050/160000] lr: 1.573e-05, eta: 4:49:38, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1681, decode.acc_seg: 74.4474, aux.loss_ce: 0.0775, aux.acc_seg: 73.7728, loss: 0.2456 2023-01-30 07:14:48,707 - mmseg - INFO - Iter [118100/160000] lr: 1.571e-05, eta: 4:49:17, time: 0.394, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1736, decode.acc_seg: 75.6942, aux.loss_ce: 0.0787, aux.acc_seg: 75.0326, loss: 0.2523 2023-01-30 07:15:08,620 - mmseg - INFO - Iter [118150/160000] lr: 1.569e-05, eta: 4:48:56, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1719, decode.acc_seg: 75.7752, aux.loss_ce: 0.0787, aux.acc_seg: 75.0681, loss: 0.2507 2023-01-30 07:15:28,347 - mmseg - INFO - Iter [118200/160000] lr: 1.568e-05, eta: 4:48:35, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1556, decode.acc_seg: 75.5280, aux.loss_ce: 0.0714, aux.acc_seg: 74.8959, loss: 0.2270 2023-01-30 07:15:48,125 - mmseg - INFO - Iter [118250/160000] lr: 1.566e-05, eta: 4:48:14, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1718, decode.acc_seg: 76.6724, aux.loss_ce: 0.0780, aux.acc_seg: 76.0221, loss: 0.2499 2023-01-30 07:16:07,792 - mmseg - INFO - Iter [118300/160000] lr: 1.564e-05, eta: 4:47:53, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1626, decode.acc_seg: 75.6121, aux.loss_ce: 0.0736, aux.acc_seg: 74.9687, loss: 0.2361 2023-01-30 07:16:27,734 - mmseg - INFO - Iter [118350/160000] lr: 1.562e-05, eta: 4:47:32, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1649, decode.acc_seg: 75.4067, aux.loss_ce: 0.0754, aux.acc_seg: 74.8019, loss: 0.2403 2023-01-30 07:16:47,529 - mmseg - INFO - Iter [118400/160000] lr: 1.560e-05, eta: 4:47:11, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1555, decode.acc_seg: 75.3704, aux.loss_ce: 0.0709, aux.acc_seg: 74.7882, loss: 0.2264 2023-01-30 07:17:07,536 - mmseg - INFO - Iter [118450/160000] lr: 1.558e-05, eta: 4:46:50, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1606, decode.acc_seg: 76.8639, aux.loss_ce: 0.0731, aux.acc_seg: 76.2258, loss: 0.2336 2023-01-30 07:17:27,144 - mmseg - INFO - Iter [118500/160000] lr: 1.556e-05, eta: 4:46:29, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1593, decode.acc_seg: 75.5444, aux.loss_ce: 0.0730, aux.acc_seg: 74.9045, loss: 0.2323 2023-01-30 07:17:46,817 - mmseg - INFO - Iter [118550/160000] lr: 1.554e-05, eta: 4:46:07, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1651, decode.acc_seg: 74.9153, aux.loss_ce: 0.0765, aux.acc_seg: 74.1852, loss: 0.2416 2023-01-30 07:18:06,519 - mmseg - INFO - Iter [118600/160000] lr: 1.553e-05, eta: 4:45:46, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1654, decode.acc_seg: 75.5055, aux.loss_ce: 0.0745, aux.acc_seg: 74.9345, loss: 0.2399 2023-01-30 07:18:26,184 - mmseg - INFO - Iter [118650/160000] lr: 1.551e-05, eta: 4:45:25, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1613, decode.acc_seg: 73.5753, aux.loss_ce: 0.0734, aux.acc_seg: 72.9177, loss: 0.2346 2023-01-30 07:18:45,788 - mmseg - INFO - Iter [118700/160000] lr: 1.549e-05, eta: 4:45:04, time: 0.392, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1583, decode.acc_seg: 74.7072, aux.loss_ce: 0.0714, aux.acc_seg: 74.2696, loss: 0.2297 2023-01-30 07:19:08,456 - mmseg - INFO - Iter [118750/160000] lr: 1.547e-05, eta: 4:44:44, time: 0.453, data_time: 0.052, memory: 12319, decode.loss_ce: 0.1504, decode.acc_seg: 73.7658, aux.loss_ce: 0.0692, aux.acc_seg: 73.1578, loss: 0.2196 2023-01-30 07:19:28,451 - mmseg - INFO - Iter [118800/160000] lr: 1.545e-05, eta: 4:44:23, time: 0.400, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1551, decode.acc_seg: 75.8792, aux.loss_ce: 0.0710, aux.acc_seg: 75.2017, loss: 0.2261 2023-01-30 07:19:48,559 - mmseg - INFO - Iter [118850/160000] lr: 1.543e-05, eta: 4:44:02, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1590, decode.acc_seg: 75.1164, aux.loss_ce: 0.0728, aux.acc_seg: 74.4670, loss: 0.2318 2023-01-30 07:20:08,120 - mmseg - INFO - Iter [118900/160000] lr: 1.541e-05, eta: 4:43:41, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1691, decode.acc_seg: 73.8102, aux.loss_ce: 0.0784, aux.acc_seg: 73.0672, loss: 0.2476 2023-01-30 07:20:28,071 - mmseg - INFO - Iter [118950/160000] lr: 1.539e-05, eta: 4:43:20, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1585, decode.acc_seg: 74.5003, aux.loss_ce: 0.0722, aux.acc_seg: 73.8321, loss: 0.2307 2023-01-30 07:20:47,828 - mmseg - INFO - Saving checkpoint at 119000 iterations 2023-01-30 07:20:58,966 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 07:20:58,969 - mmseg - INFO - Iter [119000/160000] lr: 1.538e-05, eta: 4:43:03, time: 0.617, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1581, decode.acc_seg: 76.6785, aux.loss_ce: 0.0726, aux.acc_seg: 76.0674, loss: 0.2307 2023-01-30 07:21:19,213 - mmseg - INFO - Iter [119050/160000] lr: 1.536e-05, eta: 4:42:42, time: 0.406, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1663, decode.acc_seg: 77.2189, aux.loss_ce: 0.0758, aux.acc_seg: 76.6012, loss: 0.2421 2023-01-30 07:21:39,078 - mmseg - INFO - Iter [119100/160000] lr: 1.534e-05, eta: 4:42:21, time: 0.398, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1674, decode.acc_seg: 75.0132, aux.loss_ce: 0.0767, aux.acc_seg: 74.3126, loss: 0.2441 2023-01-30 07:21:58,784 - mmseg - INFO - Iter [119150/160000] lr: 1.532e-05, eta: 4:42:00, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1528, decode.acc_seg: 74.2051, aux.loss_ce: 0.0710, aux.acc_seg: 73.5458, loss: 0.2238 2023-01-30 07:22:18,697 - mmseg - INFO - Iter [119200/160000] lr: 1.530e-05, eta: 4:41:39, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1586, decode.acc_seg: 75.3357, aux.loss_ce: 0.0722, aux.acc_seg: 74.7363, loss: 0.2308 2023-01-30 07:22:38,558 - mmseg - INFO - Iter [119250/160000] lr: 1.528e-05, eta: 4:41:18, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1684, decode.acc_seg: 75.1827, aux.loss_ce: 0.0777, aux.acc_seg: 74.4581, loss: 0.2461 2023-01-30 07:22:58,282 - mmseg - INFO - Iter [119300/160000] lr: 1.526e-05, eta: 4:40:57, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1572, decode.acc_seg: 74.5683, aux.loss_ce: 0.0724, aux.acc_seg: 73.8716, loss: 0.2296 2023-01-30 07:23:17,841 - mmseg - INFO - Iter [119350/160000] lr: 1.524e-05, eta: 4:40:36, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1587, decode.acc_seg: 76.4883, aux.loss_ce: 0.0729, aux.acc_seg: 75.8679, loss: 0.2315 2023-01-30 07:23:37,738 - mmseg - INFO - Iter [119400/160000] lr: 1.523e-05, eta: 4:40:15, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1678, decode.acc_seg: 74.2574, aux.loss_ce: 0.0761, aux.acc_seg: 73.6068, loss: 0.2439 2023-01-30 07:23:57,655 - mmseg - INFO - Iter [119450/160000] lr: 1.521e-05, eta: 4:39:54, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1668, decode.acc_seg: 75.8988, aux.loss_ce: 0.0768, aux.acc_seg: 75.2300, loss: 0.2436 2023-01-30 07:24:17,649 - mmseg - INFO - Iter [119500/160000] lr: 1.519e-05, eta: 4:39:33, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1714, decode.acc_seg: 76.6058, aux.loss_ce: 0.0784, aux.acc_seg: 75.8900, loss: 0.2498 2023-01-30 07:24:37,310 - mmseg - INFO - Iter [119550/160000] lr: 1.517e-05, eta: 4:39:12, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1643, decode.acc_seg: 76.1849, aux.loss_ce: 0.0752, aux.acc_seg: 75.5786, loss: 0.2395 2023-01-30 07:24:57,034 - mmseg - INFO - Iter [119600/160000] lr: 1.515e-05, eta: 4:38:51, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1670, decode.acc_seg: 75.2778, aux.loss_ce: 0.0761, aux.acc_seg: 74.5867, loss: 0.2431 2023-01-30 07:25:16,639 - mmseg - INFO - Iter [119650/160000] lr: 1.513e-05, eta: 4:38:30, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1622, decode.acc_seg: 74.2861, aux.loss_ce: 0.0741, aux.acc_seg: 73.6367, loss: 0.2363 2023-01-30 07:25:36,176 - mmseg - INFO - Iter [119700/160000] lr: 1.511e-05, eta: 4:38:09, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1583, decode.acc_seg: 74.5580, aux.loss_ce: 0.0723, aux.acc_seg: 73.9279, loss: 0.2306 2023-01-30 07:25:55,776 - mmseg - INFO - Iter [119750/160000] lr: 1.509e-05, eta: 4:37:48, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1566, decode.acc_seg: 74.6617, aux.loss_ce: 0.0711, aux.acc_seg: 74.0913, loss: 0.2277 2023-01-30 07:26:15,309 - mmseg - INFO - Iter [119800/160000] lr: 1.508e-05, eta: 4:37:27, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1692, decode.acc_seg: 76.3612, aux.loss_ce: 0.0776, aux.acc_seg: 75.6998, loss: 0.2468 2023-01-30 07:26:35,052 - mmseg - INFO - Iter [119850/160000] lr: 1.506e-05, eta: 4:37:06, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1675, decode.acc_seg: 74.8375, aux.loss_ce: 0.0769, aux.acc_seg: 74.1677, loss: 0.2444 2023-01-30 07:26:54,779 - mmseg - INFO - Iter [119900/160000] lr: 1.504e-05, eta: 4:36:45, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1570, decode.acc_seg: 75.6019, aux.loss_ce: 0.0724, aux.acc_seg: 74.9374, loss: 0.2294 2023-01-30 07:27:14,750 - mmseg - INFO - Iter [119950/160000] lr: 1.502e-05, eta: 4:36:24, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1624, decode.acc_seg: 73.9301, aux.loss_ce: 0.0744, aux.acc_seg: 73.3384, loss: 0.2368 2023-01-30 07:27:37,004 - mmseg - INFO - Saving checkpoint at 120000 iterations 2023-01-30 07:27:47,273 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 07:27:47,273 - mmseg - INFO - Iter [120000/160000] lr: 1.500e-05, eta: 4:36:07, time: 0.651, data_time: 0.054, memory: 12319, decode.loss_ce: 0.1560, decode.acc_seg: 75.9397, aux.loss_ce: 0.0720, aux.acc_seg: 75.2384, loss: 0.2280 2023-01-30 07:28:06,683 - mmseg - INFO - Iter [120050/160000] lr: 1.498e-05, eta: 4:35:46, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1590, decode.acc_seg: 74.3630, aux.loss_ce: 0.0729, aux.acc_seg: 73.6909, loss: 0.2319 2023-01-30 07:28:26,287 - mmseg - INFO - Iter [120100/160000] lr: 1.496e-05, eta: 4:35:25, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1666, decode.acc_seg: 75.1212, aux.loss_ce: 0.0770, aux.acc_seg: 74.3719, loss: 0.2436 2023-01-30 07:28:46,091 - mmseg - INFO - Iter [120150/160000] lr: 1.494e-05, eta: 4:35:04, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1767, decode.acc_seg: 74.7628, aux.loss_ce: 0.0790, aux.acc_seg: 74.1724, loss: 0.2557 2023-01-30 07:29:05,582 - mmseg - INFO - Iter [120200/160000] lr: 1.493e-05, eta: 4:34:43, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1701, decode.acc_seg: 74.6503, aux.loss_ce: 0.0768, aux.acc_seg: 74.0125, loss: 0.2469 2023-01-30 07:29:25,238 - mmseg - INFO - Iter [120250/160000] lr: 1.491e-05, eta: 4:34:21, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1682, decode.acc_seg: 76.2298, aux.loss_ce: 0.0771, aux.acc_seg: 75.5253, loss: 0.2452 2023-01-30 07:29:44,905 - mmseg - INFO - Iter [120300/160000] lr: 1.489e-05, eta: 4:34:00, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1650, decode.acc_seg: 75.0243, aux.loss_ce: 0.0757, aux.acc_seg: 74.2834, loss: 0.2406 2023-01-30 07:30:04,439 - mmseg - INFO - Iter [120350/160000] lr: 1.487e-05, eta: 4:33:39, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1655, decode.acc_seg: 76.3709, aux.loss_ce: 0.0753, aux.acc_seg: 75.7054, loss: 0.2408 2023-01-30 07:30:24,234 - mmseg - INFO - Iter [120400/160000] lr: 1.485e-05, eta: 4:33:18, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1676, decode.acc_seg: 76.0827, aux.loss_ce: 0.0761, aux.acc_seg: 75.4775, loss: 0.2437 2023-01-30 07:30:43,917 - mmseg - INFO - Iter [120450/160000] lr: 1.483e-05, eta: 4:32:57, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1562, decode.acc_seg: 75.1541, aux.loss_ce: 0.0721, aux.acc_seg: 74.4343, loss: 0.2284 2023-01-30 07:31:03,540 - mmseg - INFO - Iter [120500/160000] lr: 1.481e-05, eta: 4:32:36, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1578, decode.acc_seg: 74.8357, aux.loss_ce: 0.0729, aux.acc_seg: 74.2044, loss: 0.2308 2023-01-30 07:31:23,346 - mmseg - INFO - Iter [120550/160000] lr: 1.479e-05, eta: 4:32:15, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1563, decode.acc_seg: 75.1514, aux.loss_ce: 0.0720, aux.acc_seg: 74.5039, loss: 0.2283 2023-01-30 07:31:43,046 - mmseg - INFO - Iter [120600/160000] lr: 1.478e-05, eta: 4:31:54, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1670, decode.acc_seg: 73.8367, aux.loss_ce: 0.0765, aux.acc_seg: 73.1824, loss: 0.2436 2023-01-30 07:32:02,741 - mmseg - INFO - Iter [120650/160000] lr: 1.476e-05, eta: 4:31:33, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1586, decode.acc_seg: 75.5032, aux.loss_ce: 0.0717, aux.acc_seg: 74.8556, loss: 0.2303 2023-01-30 07:32:22,386 - mmseg - INFO - Iter [120700/160000] lr: 1.474e-05, eta: 4:31:12, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1595, decode.acc_seg: 76.3187, aux.loss_ce: 0.0735, aux.acc_seg: 75.6427, loss: 0.2329 2023-01-30 07:32:42,153 - mmseg - INFO - Iter [120750/160000] lr: 1.472e-05, eta: 4:30:51, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1721, decode.acc_seg: 76.1831, aux.loss_ce: 0.0787, aux.acc_seg: 75.4358, loss: 0.2508 2023-01-30 07:33:01,799 - mmseg - INFO - Iter [120800/160000] lr: 1.470e-05, eta: 4:30:30, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1643, decode.acc_seg: 75.8606, aux.loss_ce: 0.0754, aux.acc_seg: 75.1596, loss: 0.2397 2023-01-30 07:33:21,484 - mmseg - INFO - Iter [120850/160000] lr: 1.468e-05, eta: 4:30:09, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1708, decode.acc_seg: 74.8796, aux.loss_ce: 0.0786, aux.acc_seg: 74.2127, loss: 0.2494 2023-01-30 07:33:41,095 - mmseg - INFO - Iter [120900/160000] lr: 1.466e-05, eta: 4:29:48, time: 0.392, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1646, decode.acc_seg: 75.6419, aux.loss_ce: 0.0758, aux.acc_seg: 74.8464, loss: 0.2404 2023-01-30 07:34:00,655 - mmseg - INFO - Iter [120950/160000] lr: 1.464e-05, eta: 4:29:27, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1551, decode.acc_seg: 74.8833, aux.loss_ce: 0.0717, aux.acc_seg: 74.1283, loss: 0.2268 2023-01-30 07:34:20,322 - mmseg - INFO - Saving checkpoint at 121000 iterations 2023-01-30 07:34:30,050 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 07:34:30,051 - mmseg - INFO - Iter [121000/160000] lr: 1.463e-05, eta: 4:29:09, time: 0.588, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1648, decode.acc_seg: 75.4346, aux.loss_ce: 0.0767, aux.acc_seg: 74.6954, loss: 0.2415 2023-01-30 07:34:50,168 - mmseg - INFO - Iter [121050/160000] lr: 1.461e-05, eta: 4:28:48, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1646, decode.acc_seg: 75.0864, aux.loss_ce: 0.0761, aux.acc_seg: 74.3398, loss: 0.2408 2023-01-30 07:35:09,818 - mmseg - INFO - Iter [121100/160000] lr: 1.459e-05, eta: 4:28:27, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1652, decode.acc_seg: 74.9489, aux.loss_ce: 0.0760, aux.acc_seg: 74.2868, loss: 0.2412 2023-01-30 07:35:29,599 - mmseg - INFO - Iter [121150/160000] lr: 1.457e-05, eta: 4:28:06, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1611, decode.acc_seg: 75.0876, aux.loss_ce: 0.0737, aux.acc_seg: 74.4332, loss: 0.2348 2023-01-30 07:35:48,847 - mmseg - INFO - Iter [121200/160000] lr: 1.455e-05, eta: 4:27:45, time: 0.385, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1630, decode.acc_seg: 74.8972, aux.loss_ce: 0.0750, aux.acc_seg: 74.1501, loss: 0.2379 2023-01-30 07:36:10,986 - mmseg - INFO - Iter [121250/160000] lr: 1.453e-05, eta: 4:27:25, time: 0.443, data_time: 0.051, memory: 12319, decode.loss_ce: 0.1639, decode.acc_seg: 75.6340, aux.loss_ce: 0.0759, aux.acc_seg: 74.9592, loss: 0.2398 2023-01-30 07:36:30,771 - mmseg - INFO - Iter [121300/160000] lr: 1.451e-05, eta: 4:27:04, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1485, decode.acc_seg: 75.7613, aux.loss_ce: 0.0676, aux.acc_seg: 75.2162, loss: 0.2161 2023-01-30 07:36:50,630 - mmseg - INFO - Iter [121350/160000] lr: 1.449e-05, eta: 4:26:43, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1709, decode.acc_seg: 76.1568, aux.loss_ce: 0.0788, aux.acc_seg: 75.4991, loss: 0.2497 2023-01-30 07:37:10,567 - mmseg - INFO - Iter [121400/160000] lr: 1.448e-05, eta: 4:26:22, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1453, decode.acc_seg: 74.7396, aux.loss_ce: 0.0671, aux.acc_seg: 74.0455, loss: 0.2125 2023-01-30 07:37:30,307 - mmseg - INFO - Iter [121450/160000] lr: 1.446e-05, eta: 4:26:01, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1575, decode.acc_seg: 74.5420, aux.loss_ce: 0.0733, aux.acc_seg: 73.8446, loss: 0.2308 2023-01-30 07:37:50,240 - mmseg - INFO - Iter [121500/160000] lr: 1.444e-05, eta: 4:25:40, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1614, decode.acc_seg: 75.5078, aux.loss_ce: 0.0744, aux.acc_seg: 74.7509, loss: 0.2358 2023-01-30 07:38:10,190 - mmseg - INFO - Iter [121550/160000] lr: 1.442e-05, eta: 4:25:19, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1617, decode.acc_seg: 76.5483, aux.loss_ce: 0.0736, aux.acc_seg: 75.8801, loss: 0.2353 2023-01-30 07:38:30,373 - mmseg - INFO - Iter [121600/160000] lr: 1.440e-05, eta: 4:24:58, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1651, decode.acc_seg: 74.9064, aux.loss_ce: 0.0760, aux.acc_seg: 74.2489, loss: 0.2412 2023-01-30 07:38:50,009 - mmseg - INFO - Iter [121650/160000] lr: 1.438e-05, eta: 4:24:37, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1487, decode.acc_seg: 75.6776, aux.loss_ce: 0.0688, aux.acc_seg: 74.9725, loss: 0.2176 2023-01-30 07:39:10,040 - mmseg - INFO - Iter [121700/160000] lr: 1.436e-05, eta: 4:24:16, time: 0.401, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1603, decode.acc_seg: 74.9942, aux.loss_ce: 0.0740, aux.acc_seg: 74.3248, loss: 0.2343 2023-01-30 07:39:29,778 - mmseg - INFO - Iter [121750/160000] lr: 1.434e-05, eta: 4:23:55, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1598, decode.acc_seg: 75.3534, aux.loss_ce: 0.0733, aux.acc_seg: 74.6621, loss: 0.2331 2023-01-30 07:39:49,822 - mmseg - INFO - Iter [121800/160000] lr: 1.433e-05, eta: 4:23:34, time: 0.401, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1527, decode.acc_seg: 75.0269, aux.loss_ce: 0.0704, aux.acc_seg: 74.3440, loss: 0.2231 2023-01-30 07:40:09,523 - mmseg - INFO - Iter [121850/160000] lr: 1.431e-05, eta: 4:23:13, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1631, decode.acc_seg: 75.5601, aux.loss_ce: 0.0743, aux.acc_seg: 74.8647, loss: 0.2374 2023-01-30 07:40:29,103 - mmseg - INFO - Iter [121900/160000] lr: 1.429e-05, eta: 4:22:52, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1640, decode.acc_seg: 74.9680, aux.loss_ce: 0.0745, aux.acc_seg: 74.3060, loss: 0.2385 2023-01-30 07:40:48,608 - mmseg - INFO - Iter [121950/160000] lr: 1.427e-05, eta: 4:22:31, time: 0.392, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1536, decode.acc_seg: 74.9826, aux.loss_ce: 0.0700, aux.acc_seg: 74.4069, loss: 0.2236 2023-01-30 07:41:08,318 - mmseg - INFO - Saving checkpoint at 122000 iterations 2023-01-30 07:41:18,590 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 07:41:18,590 - mmseg - INFO - Iter [122000/160000] lr: 1.425e-05, eta: 4:22:13, time: 0.600, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1583, decode.acc_seg: 75.8796, aux.loss_ce: 0.0739, aux.acc_seg: 75.1278, loss: 0.2322 2023-01-30 07:41:38,400 - mmseg - INFO - Iter [122050/160000] lr: 1.423e-05, eta: 4:21:52, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1737, decode.acc_seg: 76.2463, aux.loss_ce: 0.0791, aux.acc_seg: 75.5904, loss: 0.2528 2023-01-30 07:41:58,256 - mmseg - INFO - Iter [122100/160000] lr: 1.421e-05, eta: 4:21:31, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1629, decode.acc_seg: 75.1867, aux.loss_ce: 0.0741, aux.acc_seg: 74.5132, loss: 0.2370 2023-01-30 07:42:17,983 - mmseg - INFO - Iter [122150/160000] lr: 1.419e-05, eta: 4:21:10, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1675, decode.acc_seg: 75.3154, aux.loss_ce: 0.0778, aux.acc_seg: 74.5617, loss: 0.2453 2023-01-30 07:42:38,125 - mmseg - INFO - Iter [122200/160000] lr: 1.418e-05, eta: 4:20:49, time: 0.403, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1579, decode.acc_seg: 75.8095, aux.loss_ce: 0.0715, aux.acc_seg: 75.1960, loss: 0.2295 2023-01-30 07:42:58,017 - mmseg - INFO - Iter [122250/160000] lr: 1.416e-05, eta: 4:20:28, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1560, decode.acc_seg: 75.0760, aux.loss_ce: 0.0721, aux.acc_seg: 74.4494, loss: 0.2281 2023-01-30 07:43:17,608 - mmseg - INFO - Iter [122300/160000] lr: 1.414e-05, eta: 4:20:07, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1662, decode.acc_seg: 75.4469, aux.loss_ce: 0.0755, aux.acc_seg: 74.8355, loss: 0.2418 2023-01-30 07:43:37,313 - mmseg - INFO - Iter [122350/160000] lr: 1.412e-05, eta: 4:19:46, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1521, decode.acc_seg: 73.4987, aux.loss_ce: 0.0697, aux.acc_seg: 72.8863, loss: 0.2218 2023-01-30 07:43:57,330 - mmseg - INFO - Iter [122400/160000] lr: 1.410e-05, eta: 4:19:25, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1690, decode.acc_seg: 75.4868, aux.loss_ce: 0.0775, aux.acc_seg: 74.7733, loss: 0.2465 2023-01-30 07:44:17,221 - mmseg - INFO - Iter [122450/160000] lr: 1.408e-05, eta: 4:19:05, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1573, decode.acc_seg: 75.7178, aux.loss_ce: 0.0724, aux.acc_seg: 75.1032, loss: 0.2297 2023-01-30 07:44:37,079 - mmseg - INFO - Iter [122500/160000] lr: 1.406e-05, eta: 4:18:44, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1652, decode.acc_seg: 73.7185, aux.loss_ce: 0.0748, aux.acc_seg: 73.1732, loss: 0.2400 2023-01-30 07:44:59,736 - mmseg - INFO - Iter [122550/160000] lr: 1.404e-05, eta: 4:18:23, time: 0.454, data_time: 0.054, memory: 12319, decode.loss_ce: 0.1759, decode.acc_seg: 75.3810, aux.loss_ce: 0.0796, aux.acc_seg: 74.7523, loss: 0.2555 2023-01-30 07:45:19,588 - mmseg - INFO - Iter [122600/160000] lr: 1.403e-05, eta: 4:18:02, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1632, decode.acc_seg: 72.4428, aux.loss_ce: 0.0745, aux.acc_seg: 71.7741, loss: 0.2378 2023-01-30 07:45:39,506 - mmseg - INFO - Iter [122650/160000] lr: 1.401e-05, eta: 4:17:42, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1574, decode.acc_seg: 76.2427, aux.loss_ce: 0.0723, aux.acc_seg: 75.5582, loss: 0.2298 2023-01-30 07:45:59,346 - mmseg - INFO - Iter [122700/160000] lr: 1.399e-05, eta: 4:17:21, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1604, decode.acc_seg: 75.4531, aux.loss_ce: 0.0738, aux.acc_seg: 74.7862, loss: 0.2341 2023-01-30 07:46:18,876 - mmseg - INFO - Iter [122750/160000] lr: 1.397e-05, eta: 4:17:00, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1717, decode.acc_seg: 75.5824, aux.loss_ce: 0.0788, aux.acc_seg: 74.9002, loss: 0.2505 2023-01-30 07:46:38,619 - mmseg - INFO - Iter [122800/160000] lr: 1.395e-05, eta: 4:16:39, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1615, decode.acc_seg: 74.2041, aux.loss_ce: 0.0744, aux.acc_seg: 73.5014, loss: 0.2360 2023-01-30 07:46:58,377 - mmseg - INFO - Iter [122850/160000] lr: 1.393e-05, eta: 4:16:18, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1620, decode.acc_seg: 75.4607, aux.loss_ce: 0.0750, aux.acc_seg: 74.7515, loss: 0.2370 2023-01-30 07:47:18,147 - mmseg - INFO - Iter [122900/160000] lr: 1.391e-05, eta: 4:15:57, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1540, decode.acc_seg: 76.2721, aux.loss_ce: 0.0705, aux.acc_seg: 75.7249, loss: 0.2246 2023-01-30 07:47:37,923 - mmseg - INFO - Iter [122950/160000] lr: 1.389e-05, eta: 4:15:36, time: 0.398, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1485, decode.acc_seg: 75.7921, aux.loss_ce: 0.0690, aux.acc_seg: 75.0114, loss: 0.2175 2023-01-30 07:47:57,354 - mmseg - INFO - Saving checkpoint at 123000 iterations 2023-01-30 07:48:07,444 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 07:48:07,445 - mmseg - INFO - Iter [123000/160000] lr: 1.388e-05, eta: 4:15:18, time: 0.590, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1562, decode.acc_seg: 75.3624, aux.loss_ce: 0.0727, aux.acc_seg: 74.6968, loss: 0.2289 2023-01-30 07:48:27,572 - mmseg - INFO - Iter [123050/160000] lr: 1.386e-05, eta: 4:14:57, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1507, decode.acc_seg: 74.7581, aux.loss_ce: 0.0685, aux.acc_seg: 74.1817, loss: 0.2193 2023-01-30 07:48:47,347 - mmseg - INFO - Iter [123100/160000] lr: 1.384e-05, eta: 4:14:36, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1589, decode.acc_seg: 75.7559, aux.loss_ce: 0.0739, aux.acc_seg: 75.0307, loss: 0.2328 2023-01-30 07:49:07,018 - mmseg - INFO - Iter [123150/160000] lr: 1.382e-05, eta: 4:14:15, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1693, decode.acc_seg: 74.0745, aux.loss_ce: 0.0772, aux.acc_seg: 73.4901, loss: 0.2465 2023-01-30 07:49:27,021 - mmseg - INFO - Iter [123200/160000] lr: 1.380e-05, eta: 4:13:54, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1657, decode.acc_seg: 75.7571, aux.loss_ce: 0.0756, aux.acc_seg: 75.0853, loss: 0.2414 2023-01-30 07:49:46,563 - mmseg - INFO - Iter [123250/160000] lr: 1.378e-05, eta: 4:13:33, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1666, decode.acc_seg: 76.0261, aux.loss_ce: 0.0775, aux.acc_seg: 75.3016, loss: 0.2441 2023-01-30 07:50:05,987 - mmseg - INFO - Iter [123300/160000] lr: 1.376e-05, eta: 4:13:12, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1624, decode.acc_seg: 75.0912, aux.loss_ce: 0.0751, aux.acc_seg: 74.3580, loss: 0.2375 2023-01-30 07:50:25,560 - mmseg - INFO - Iter [123350/160000] lr: 1.374e-05, eta: 4:12:51, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1692, decode.acc_seg: 76.4566, aux.loss_ce: 0.0779, aux.acc_seg: 75.7538, loss: 0.2471 2023-01-30 07:50:44,973 - mmseg - INFO - Iter [123400/160000] lr: 1.373e-05, eta: 4:12:30, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1640, decode.acc_seg: 74.3724, aux.loss_ce: 0.0756, aux.acc_seg: 73.6689, loss: 0.2396 2023-01-30 07:51:04,404 - mmseg - INFO - Iter [123450/160000] lr: 1.371e-05, eta: 4:12:09, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1651, decode.acc_seg: 76.4463, aux.loss_ce: 0.0763, aux.acc_seg: 75.7607, loss: 0.2415 2023-01-30 07:51:24,021 - mmseg - INFO - Iter [123500/160000] lr: 1.369e-05, eta: 4:11:47, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1646, decode.acc_seg: 73.7261, aux.loss_ce: 0.0748, aux.acc_seg: 73.1235, loss: 0.2393 2023-01-30 07:51:43,893 - mmseg - INFO - Iter [123550/160000] lr: 1.367e-05, eta: 4:11:27, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1491, decode.acc_seg: 75.3228, aux.loss_ce: 0.0682, aux.acc_seg: 74.7114, loss: 0.2174 2023-01-30 07:52:03,484 - mmseg - INFO - Iter [123600/160000] lr: 1.365e-05, eta: 4:11:06, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1488, decode.acc_seg: 75.3398, aux.loss_ce: 0.0692, aux.acc_seg: 74.6346, loss: 0.2181 2023-01-30 07:52:22,917 - mmseg - INFO - Iter [123650/160000] lr: 1.363e-05, eta: 4:10:44, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1507, decode.acc_seg: 76.3254, aux.loss_ce: 0.0701, aux.acc_seg: 75.6321, loss: 0.2207 2023-01-30 07:52:42,534 - mmseg - INFO - Iter [123700/160000] lr: 1.361e-05, eta: 4:10:23, time: 0.392, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1604, decode.acc_seg: 74.8889, aux.loss_ce: 0.0745, aux.acc_seg: 74.1238, loss: 0.2349 2023-01-30 07:53:02,228 - mmseg - INFO - Iter [123750/160000] lr: 1.359e-05, eta: 4:10:02, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1517, decode.acc_seg: 75.3514, aux.loss_ce: 0.0691, aux.acc_seg: 74.8136, loss: 0.2208 2023-01-30 07:53:24,936 - mmseg - INFO - Iter [123800/160000] lr: 1.358e-05, eta: 4:09:42, time: 0.454, data_time: 0.052, memory: 12319, decode.loss_ce: 0.1611, decode.acc_seg: 75.6185, aux.loss_ce: 0.0736, aux.acc_seg: 74.9595, loss: 0.2347 2023-01-30 07:53:44,486 - mmseg - INFO - Iter [123850/160000] lr: 1.356e-05, eta: 4:09:21, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1509, decode.acc_seg: 74.5133, aux.loss_ce: 0.0703, aux.acc_seg: 73.8256, loss: 0.2213 2023-01-30 07:54:04,265 - mmseg - INFO - Iter [123900/160000] lr: 1.354e-05, eta: 4:09:00, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1598, decode.acc_seg: 74.5975, aux.loss_ce: 0.0746, aux.acc_seg: 73.8140, loss: 0.2344 2023-01-30 07:54:23,857 - mmseg - INFO - Iter [123950/160000] lr: 1.352e-05, eta: 4:08:39, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1528, decode.acc_seg: 76.2450, aux.loss_ce: 0.0705, aux.acc_seg: 75.5614, loss: 0.2233 2023-01-30 07:54:43,454 - mmseg - INFO - Saving checkpoint at 124000 iterations 2023-01-30 07:54:53,989 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 07:54:53,989 - mmseg - INFO - Iter [124000/160000] lr: 1.350e-05, eta: 4:08:21, time: 0.602, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1552, decode.acc_seg: 75.7983, aux.loss_ce: 0.0715, aux.acc_seg: 75.1727, loss: 0.2267 2023-01-30 07:55:13,732 - mmseg - INFO - Iter [124050/160000] lr: 1.348e-05, eta: 4:08:00, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1547, decode.acc_seg: 77.7507, aux.loss_ce: 0.0713, aux.acc_seg: 77.1750, loss: 0.2261 2023-01-30 07:55:33,199 - mmseg - INFO - Iter [124100/160000] lr: 1.346e-05, eta: 4:07:39, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1637, decode.acc_seg: 75.6087, aux.loss_ce: 0.0746, aux.acc_seg: 74.9833, loss: 0.2383 2023-01-30 07:55:52,744 - mmseg - INFO - Iter [124150/160000] lr: 1.344e-05, eta: 4:07:18, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1554, decode.acc_seg: 75.2172, aux.loss_ce: 0.0722, aux.acc_seg: 74.5144, loss: 0.2276 2023-01-30 07:56:12,274 - mmseg - INFO - Iter [124200/160000] lr: 1.343e-05, eta: 4:06:57, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1574, decode.acc_seg: 77.2072, aux.loss_ce: 0.0741, aux.acc_seg: 76.4124, loss: 0.2315 2023-01-30 07:56:31,842 - mmseg - INFO - Iter [124250/160000] lr: 1.341e-05, eta: 4:06:36, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1610, decode.acc_seg: 74.3157, aux.loss_ce: 0.0730, aux.acc_seg: 73.7595, loss: 0.2340 2023-01-30 07:56:51,747 - mmseg - INFO - Iter [124300/160000] lr: 1.339e-05, eta: 4:06:15, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1593, decode.acc_seg: 75.7124, aux.loss_ce: 0.0736, aux.acc_seg: 74.9836, loss: 0.2330 2023-01-30 07:57:11,485 - mmseg - INFO - Iter [124350/160000] lr: 1.337e-05, eta: 4:05:54, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1519, decode.acc_seg: 75.0320, aux.loss_ce: 0.0691, aux.acc_seg: 74.4763, loss: 0.2209 2023-01-30 07:57:31,120 - mmseg - INFO - Iter [124400/160000] lr: 1.335e-05, eta: 4:05:33, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1530, decode.acc_seg: 73.5534, aux.loss_ce: 0.0703, aux.acc_seg: 72.9640, loss: 0.2234 2023-01-30 07:57:51,171 - mmseg - INFO - Iter [124450/160000] lr: 1.333e-05, eta: 4:05:13, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1584, decode.acc_seg: 72.7273, aux.loss_ce: 0.0726, aux.acc_seg: 72.0904, loss: 0.2311 2023-01-30 07:58:10,885 - mmseg - INFO - Iter [124500/160000] lr: 1.331e-05, eta: 4:04:52, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1533, decode.acc_seg: 76.6248, aux.loss_ce: 0.0701, aux.acc_seg: 75.9970, loss: 0.2234 2023-01-30 07:58:30,307 - mmseg - INFO - Iter [124550/160000] lr: 1.329e-05, eta: 4:04:31, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1481, decode.acc_seg: 76.2568, aux.loss_ce: 0.0680, aux.acc_seg: 75.6847, loss: 0.2162 2023-01-30 07:58:50,027 - mmseg - INFO - Iter [124600/160000] lr: 1.328e-05, eta: 4:04:10, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1628, decode.acc_seg: 74.7138, aux.loss_ce: 0.0759, aux.acc_seg: 73.8922, loss: 0.2387 2023-01-30 07:59:09,803 - mmseg - INFO - Iter [124650/160000] lr: 1.326e-05, eta: 4:03:49, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1567, decode.acc_seg: 75.4261, aux.loss_ce: 0.0707, aux.acc_seg: 74.8388, loss: 0.2274 2023-01-30 07:59:29,992 - mmseg - INFO - Iter [124700/160000] lr: 1.324e-05, eta: 4:03:28, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1608, decode.acc_seg: 75.7201, aux.loss_ce: 0.0741, aux.acc_seg: 74.9787, loss: 0.2349 2023-01-30 07:59:49,716 - mmseg - INFO - Iter [124750/160000] lr: 1.322e-05, eta: 4:03:07, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1661, decode.acc_seg: 74.9444, aux.loss_ce: 0.0772, aux.acc_seg: 74.2305, loss: 0.2433 2023-01-30 08:00:09,562 - mmseg - INFO - Iter [124800/160000] lr: 1.320e-05, eta: 4:02:46, time: 0.400, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1669, decode.acc_seg: 75.7586, aux.loss_ce: 0.0760, aux.acc_seg: 75.0873, loss: 0.2429 2023-01-30 08:00:29,419 - mmseg - INFO - Iter [124850/160000] lr: 1.318e-05, eta: 4:02:25, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1621, decode.acc_seg: 75.7691, aux.loss_ce: 0.0752, aux.acc_seg: 74.9532, loss: 0.2373 2023-01-30 08:00:49,046 - mmseg - INFO - Iter [124900/160000] lr: 1.316e-05, eta: 4:02:04, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1630, decode.acc_seg: 75.5969, aux.loss_ce: 0.0745, aux.acc_seg: 74.8811, loss: 0.2375 2023-01-30 08:01:09,017 - mmseg - INFO - Iter [124950/160000] lr: 1.314e-05, eta: 4:01:43, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1652, decode.acc_seg: 73.0761, aux.loss_ce: 0.0755, aux.acc_seg: 72.4271, loss: 0.2406 2023-01-30 08:01:28,685 - mmseg - INFO - Saving checkpoint at 125000 iterations 2023-01-30 08:01:39,083 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 08:01:39,083 - mmseg - INFO - Iter [125000/160000] lr: 1.313e-05, eta: 4:01:25, time: 0.604, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1600, decode.acc_seg: 75.1749, aux.loss_ce: 0.0734, aux.acc_seg: 74.5302, loss: 0.2334 2023-01-30 08:02:01,279 - mmseg - INFO - Iter [125050/160000] lr: 1.311e-05, eta: 4:01:05, time: 0.444, data_time: 0.054, memory: 12319, decode.loss_ce: 0.1701, decode.acc_seg: 75.9215, aux.loss_ce: 0.0785, aux.acc_seg: 75.2467, loss: 0.2485 2023-01-30 08:02:21,384 - mmseg - INFO - Iter [125100/160000] lr: 1.309e-05, eta: 4:00:44, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1649, decode.acc_seg: 73.7266, aux.loss_ce: 0.0757, aux.acc_seg: 72.9781, loss: 0.2406 2023-01-30 08:02:41,452 - mmseg - INFO - Iter [125150/160000] lr: 1.307e-05, eta: 4:00:23, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1534, decode.acc_seg: 75.0746, aux.loss_ce: 0.0709, aux.acc_seg: 74.3923, loss: 0.2242 2023-01-30 08:03:01,046 - mmseg - INFO - Iter [125200/160000] lr: 1.305e-05, eta: 4:00:02, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1504, decode.acc_seg: 76.1885, aux.loss_ce: 0.0690, aux.acc_seg: 75.5271, loss: 0.2194 2023-01-30 08:03:20,830 - mmseg - INFO - Iter [125250/160000] lr: 1.303e-05, eta: 3:59:41, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1491, decode.acc_seg: 77.5095, aux.loss_ce: 0.0692, aux.acc_seg: 76.7681, loss: 0.2183 2023-01-30 08:03:40,869 - mmseg - INFO - Iter [125300/160000] lr: 1.301e-05, eta: 3:59:20, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1651, decode.acc_seg: 76.8802, aux.loss_ce: 0.0752, aux.acc_seg: 76.2900, loss: 0.2403 2023-01-30 08:04:00,703 - mmseg - INFO - Iter [125350/160000] lr: 1.299e-05, eta: 3:58:59, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1698, decode.acc_seg: 74.4931, aux.loss_ce: 0.0755, aux.acc_seg: 73.9573, loss: 0.2452 2023-01-30 08:04:20,530 - mmseg - INFO - Iter [125400/160000] lr: 1.298e-05, eta: 3:58:38, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1539, decode.acc_seg: 76.9109, aux.loss_ce: 0.0717, aux.acc_seg: 76.2201, loss: 0.2256 2023-01-30 08:04:40,267 - mmseg - INFO - Iter [125450/160000] lr: 1.296e-05, eta: 3:58:17, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1483, decode.acc_seg: 76.6120, aux.loss_ce: 0.0681, aux.acc_seg: 75.9950, loss: 0.2164 2023-01-30 08:05:00,024 - mmseg - INFO - Iter [125500/160000] lr: 1.294e-05, eta: 3:57:56, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1689, decode.acc_seg: 74.8569, aux.loss_ce: 0.0776, aux.acc_seg: 74.2379, loss: 0.2465 2023-01-30 08:05:19,755 - mmseg - INFO - Iter [125550/160000] lr: 1.292e-05, eta: 3:57:35, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1627, decode.acc_seg: 75.3939, aux.loss_ce: 0.0750, aux.acc_seg: 74.7096, loss: 0.2377 2023-01-30 08:05:39,627 - mmseg - INFO - Iter [125600/160000] lr: 1.290e-05, eta: 3:57:15, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1741, decode.acc_seg: 75.7930, aux.loss_ce: 0.0791, aux.acc_seg: 75.1402, loss: 0.2532 2023-01-30 08:05:59,345 - mmseg - INFO - Iter [125650/160000] lr: 1.288e-05, eta: 3:56:54, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1576, decode.acc_seg: 74.9204, aux.loss_ce: 0.0719, aux.acc_seg: 74.3290, loss: 0.2295 2023-01-30 08:06:18,927 - mmseg - INFO - Iter [125700/160000] lr: 1.286e-05, eta: 3:56:33, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1625, decode.acc_seg: 74.6550, aux.loss_ce: 0.0741, aux.acc_seg: 73.9635, loss: 0.2367 2023-01-30 08:06:38,489 - mmseg - INFO - Iter [125750/160000] lr: 1.284e-05, eta: 3:56:12, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1577, decode.acc_seg: 76.3956, aux.loss_ce: 0.0722, aux.acc_seg: 75.6925, loss: 0.2299 2023-01-30 08:06:58,172 - mmseg - INFO - Iter [125800/160000] lr: 1.283e-05, eta: 3:55:51, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1617, decode.acc_seg: 74.8590, aux.loss_ce: 0.0736, aux.acc_seg: 74.1340, loss: 0.2353 2023-01-30 08:07:17,803 - mmseg - INFO - Iter [125850/160000] lr: 1.281e-05, eta: 3:55:30, time: 0.393, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1738, decode.acc_seg: 76.6654, aux.loss_ce: 0.0799, aux.acc_seg: 75.9597, loss: 0.2536 2023-01-30 08:07:37,514 - mmseg - INFO - Iter [125900/160000] lr: 1.279e-05, eta: 3:55:09, time: 0.396, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1684, decode.acc_seg: 75.0889, aux.loss_ce: 0.0761, aux.acc_seg: 74.4168, loss: 0.2446 2023-01-30 08:07:57,398 - mmseg - INFO - Iter [125950/160000] lr: 1.277e-05, eta: 3:54:48, time: 0.398, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1676, decode.acc_seg: 74.8885, aux.loss_ce: 0.0774, aux.acc_seg: 74.1916, loss: 0.2450 2023-01-30 08:08:17,102 - mmseg - INFO - Saving checkpoint at 126000 iterations 2023-01-30 08:08:27,888 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 08:08:27,890 - mmseg - INFO - Iter [126000/160000] lr: 1.275e-05, eta: 3:54:30, time: 0.609, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1636, decode.acc_seg: 73.2487, aux.loss_ce: 0.0750, aux.acc_seg: 72.5517, loss: 0.2386 2023-01-30 08:08:47,952 - mmseg - INFO - Iter [126050/160000] lr: 1.273e-05, eta: 3:54:09, time: 0.402, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1576, decode.acc_seg: 74.4546, aux.loss_ce: 0.0722, aux.acc_seg: 73.7308, loss: 0.2298 2023-01-30 08:09:07,480 - mmseg - INFO - Iter [126100/160000] lr: 1.271e-05, eta: 3:53:48, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1521, decode.acc_seg: 75.1865, aux.loss_ce: 0.0705, aux.acc_seg: 74.5548, loss: 0.2226 2023-01-30 08:09:27,458 - mmseg - INFO - Iter [126150/160000] lr: 1.269e-05, eta: 3:53:27, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1677, decode.acc_seg: 75.3151, aux.loss_ce: 0.0779, aux.acc_seg: 74.5648, loss: 0.2456 2023-01-30 08:09:47,232 - mmseg - INFO - Iter [126200/160000] lr: 1.268e-05, eta: 3:53:06, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1511, decode.acc_seg: 74.6945, aux.loss_ce: 0.0690, aux.acc_seg: 74.0900, loss: 0.2202 2023-01-30 08:10:07,035 - mmseg - INFO - Iter [126250/160000] lr: 1.266e-05, eta: 3:52:45, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1540, decode.acc_seg: 74.8943, aux.loss_ce: 0.0714, aux.acc_seg: 74.2427, loss: 0.2254 2023-01-30 08:10:26,596 - mmseg - INFO - Iter [126300/160000] lr: 1.264e-05, eta: 3:52:24, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1676, decode.acc_seg: 74.0262, aux.loss_ce: 0.0772, aux.acc_seg: 73.2560, loss: 0.2448 2023-01-30 08:10:48,859 - mmseg - INFO - Iter [126350/160000] lr: 1.262e-05, eta: 3:52:04, time: 0.445, data_time: 0.052, memory: 12319, decode.loss_ce: 0.1683, decode.acc_seg: 74.5529, aux.loss_ce: 0.0768, aux.acc_seg: 73.9401, loss: 0.2452 2023-01-30 08:11:08,452 - mmseg - INFO - Iter [126400/160000] lr: 1.260e-05, eta: 3:51:43, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1567, decode.acc_seg: 74.8555, aux.loss_ce: 0.0718, aux.acc_seg: 74.2458, loss: 0.2285 2023-01-30 08:11:27,829 - mmseg - INFO - Iter [126450/160000] lr: 1.258e-05, eta: 3:51:22, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1501, decode.acc_seg: 76.1581, aux.loss_ce: 0.0700, aux.acc_seg: 75.4479, loss: 0.2201 2023-01-30 08:11:47,455 - mmseg - INFO - Iter [126500/160000] lr: 1.256e-05, eta: 3:51:01, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1444, decode.acc_seg: 76.0939, aux.loss_ce: 0.0668, aux.acc_seg: 75.4620, loss: 0.2112 2023-01-30 08:12:07,212 - mmseg - INFO - Iter [126550/160000] lr: 1.254e-05, eta: 3:50:40, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1575, decode.acc_seg: 74.6856, aux.loss_ce: 0.0728, aux.acc_seg: 73.9688, loss: 0.2303 2023-01-30 08:12:26,911 - mmseg - INFO - Iter [126600/160000] lr: 1.253e-05, eta: 3:50:19, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1573, decode.acc_seg: 75.8349, aux.loss_ce: 0.0731, aux.acc_seg: 75.1991, loss: 0.2304 2023-01-30 08:12:46,649 - mmseg - INFO - Iter [126650/160000] lr: 1.251e-05, eta: 3:49:58, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1650, decode.acc_seg: 74.2998, aux.loss_ce: 0.0763, aux.acc_seg: 73.6118, loss: 0.2413 2023-01-30 08:13:06,616 - mmseg - INFO - Iter [126700/160000] lr: 1.249e-05, eta: 3:49:37, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1540, decode.acc_seg: 75.8304, aux.loss_ce: 0.0706, aux.acc_seg: 75.2167, loss: 0.2247 2023-01-30 08:13:26,763 - mmseg - INFO - Iter [126750/160000] lr: 1.247e-05, eta: 3:49:16, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1569, decode.acc_seg: 74.7550, aux.loss_ce: 0.0719, aux.acc_seg: 74.0366, loss: 0.2288 2023-01-30 08:13:46,774 - mmseg - INFO - Iter [126800/160000] lr: 1.245e-05, eta: 3:48:55, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1555, decode.acc_seg: 75.3713, aux.loss_ce: 0.0714, aux.acc_seg: 74.7464, loss: 0.2270 2023-01-30 08:14:06,453 - mmseg - INFO - Iter [126850/160000] lr: 1.243e-05, eta: 3:48:35, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1526, decode.acc_seg: 74.5034, aux.loss_ce: 0.0703, aux.acc_seg: 73.8322, loss: 0.2228 2023-01-30 08:14:26,204 - mmseg - INFO - Iter [126900/160000] lr: 1.241e-05, eta: 3:48:14, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1470, decode.acc_seg: 76.6867, aux.loss_ce: 0.0677, aux.acc_seg: 76.0486, loss: 0.2147 2023-01-30 08:14:46,005 - mmseg - INFO - Iter [126950/160000] lr: 1.239e-05, eta: 3:47:53, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1596, decode.acc_seg: 75.1868, aux.loss_ce: 0.0746, aux.acc_seg: 74.4698, loss: 0.2343 2023-01-30 08:15:05,836 - mmseg - INFO - Saving checkpoint at 127000 iterations 2023-01-30 08:15:15,944 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 08:15:15,944 - mmseg - INFO - Iter [127000/160000] lr: 1.238e-05, eta: 3:47:34, time: 0.599, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1640, decode.acc_seg: 74.8764, aux.loss_ce: 0.0752, aux.acc_seg: 74.2347, loss: 0.2392 2023-01-30 08:15:35,996 - mmseg - INFO - Iter [127050/160000] lr: 1.236e-05, eta: 3:47:14, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1568, decode.acc_seg: 75.4203, aux.loss_ce: 0.0726, aux.acc_seg: 74.6650, loss: 0.2293 2023-01-30 08:15:55,786 - mmseg - INFO - Iter [127100/160000] lr: 1.234e-05, eta: 3:46:53, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1635, decode.acc_seg: 75.2744, aux.loss_ce: 0.0756, aux.acc_seg: 74.5213, loss: 0.2392 2023-01-30 08:16:15,822 - mmseg - INFO - Iter [127150/160000] lr: 1.232e-05, eta: 3:46:32, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1569, decode.acc_seg: 74.4436, aux.loss_ce: 0.0721, aux.acc_seg: 73.8015, loss: 0.2289 2023-01-30 08:16:35,667 - mmseg - INFO - Iter [127200/160000] lr: 1.230e-05, eta: 3:46:11, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1472, decode.acc_seg: 76.5666, aux.loss_ce: 0.0676, aux.acc_seg: 75.9570, loss: 0.2148 2023-01-30 08:16:55,515 - mmseg - INFO - Iter [127250/160000] lr: 1.228e-05, eta: 3:45:50, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1555, decode.acc_seg: 76.4101, aux.loss_ce: 0.0729, aux.acc_seg: 75.7260, loss: 0.2284 2023-01-30 08:17:15,349 - mmseg - INFO - Iter [127300/160000] lr: 1.226e-05, eta: 3:45:29, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1569, decode.acc_seg: 76.1222, aux.loss_ce: 0.0721, aux.acc_seg: 75.4306, loss: 0.2290 2023-01-30 08:17:34,961 - mmseg - INFO - Iter [127350/160000] lr: 1.224e-05, eta: 3:45:08, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1557, decode.acc_seg: 75.2598, aux.loss_ce: 0.0721, aux.acc_seg: 74.6210, loss: 0.2279 2023-01-30 08:17:54,797 - mmseg - INFO - Iter [127400/160000] lr: 1.223e-05, eta: 3:44:47, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1546, decode.acc_seg: 74.3187, aux.loss_ce: 0.0711, aux.acc_seg: 73.6983, loss: 0.2257 2023-01-30 08:18:14,489 - mmseg - INFO - Iter [127450/160000] lr: 1.221e-05, eta: 3:44:26, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1656, decode.acc_seg: 75.4396, aux.loss_ce: 0.0762, aux.acc_seg: 74.6634, loss: 0.2418 2023-01-30 08:18:34,066 - mmseg - INFO - Iter [127500/160000] lr: 1.219e-05, eta: 3:44:05, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1561, decode.acc_seg: 75.2048, aux.loss_ce: 0.0716, aux.acc_seg: 74.5678, loss: 0.2277 2023-01-30 08:18:53,607 - mmseg - INFO - Iter [127550/160000] lr: 1.217e-05, eta: 3:43:44, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1480, decode.acc_seg: 76.1432, aux.loss_ce: 0.0681, aux.acc_seg: 75.4872, loss: 0.2161 2023-01-30 08:19:15,847 - mmseg - INFO - Iter [127600/160000] lr: 1.215e-05, eta: 3:43:24, time: 0.445, data_time: 0.053, memory: 12319, decode.loss_ce: 0.1542, decode.acc_seg: 75.7225, aux.loss_ce: 0.0709, aux.acc_seg: 75.1030, loss: 0.2252 2023-01-30 08:19:35,518 - mmseg - INFO - Iter [127650/160000] lr: 1.213e-05, eta: 3:43:03, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1534, decode.acc_seg: 76.1350, aux.loss_ce: 0.0699, aux.acc_seg: 75.5846, loss: 0.2233 2023-01-30 08:19:54,936 - mmseg - INFO - Iter [127700/160000] lr: 1.211e-05, eta: 3:42:42, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1518, decode.acc_seg: 75.7528, aux.loss_ce: 0.0696, aux.acc_seg: 75.0911, loss: 0.2214 2023-01-30 08:20:14,670 - mmseg - INFO - Iter [127750/160000] lr: 1.209e-05, eta: 3:42:21, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1557, decode.acc_seg: 75.7123, aux.loss_ce: 0.0721, aux.acc_seg: 75.0522, loss: 0.2278 2023-01-30 08:20:34,670 - mmseg - INFO - Iter [127800/160000] lr: 1.208e-05, eta: 3:42:00, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1539, decode.acc_seg: 75.7615, aux.loss_ce: 0.0712, aux.acc_seg: 75.1147, loss: 0.2251 2023-01-30 08:20:54,569 - mmseg - INFO - Iter [127850/160000] lr: 1.206e-05, eta: 3:41:39, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1597, decode.acc_seg: 75.9203, aux.loss_ce: 0.0742, aux.acc_seg: 75.2407, loss: 0.2339 2023-01-30 08:21:14,078 - mmseg - INFO - Iter [127900/160000] lr: 1.204e-05, eta: 3:41:18, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1502, decode.acc_seg: 74.9790, aux.loss_ce: 0.0694, aux.acc_seg: 74.3226, loss: 0.2196 2023-01-30 08:21:33,594 - mmseg - INFO - Iter [127950/160000] lr: 1.202e-05, eta: 3:40:57, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1515, decode.acc_seg: 77.2901, aux.loss_ce: 0.0696, aux.acc_seg: 76.6626, loss: 0.2211 2023-01-30 08:21:53,469 - mmseg - INFO - Saving checkpoint at 128000 iterations 2023-01-30 08:22:04,490 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 08:22:04,495 - mmseg - INFO - Iter [128000/160000] lr: 1.200e-05, eta: 3:40:39, time: 0.617, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1585, decode.acc_seg: 75.0859, aux.loss_ce: 0.0729, aux.acc_seg: 74.4081, loss: 0.2314 2023-01-30 08:22:33,576 - mmseg - INFO - per class results: 2023-01-30 08:22:33,583 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.38 | 89.51 | | building | 84.05 | 92.97 | | sky | 94.87 | 97.53 | | floor | 83.37 | 91.0 | | tree | 75.71 | 89.01 | | ceiling | 85.8 | 93.47 | | road | 83.35 | 89.87 | | bed | 91.68 | 96.96 | | windowpane | 63.75 | 79.69 | | grass | 66.66 | 82.45 | | cabinet | 64.5 | 76.29 | | sidewalk | 65.39 | 82.83 | | person | 84.71 | 93.67 | | earth | 39.75 | 53.99 | | door | 55.48 | 68.23 | | table | 67.72 | 80.82 | | mountain | 57.45 | 71.32 | | plant | 52.07 | 60.4 | | curtain | 76.23 | 88.21 | | chair | 63.73 | 76.65 | | car | 85.95 | 94.02 | | water | 66.45 | 82.82 | | painting | 76.42 | 89.4 | | sofa | 73.29 | 87.02 | | shelf | 46.81 | 64.94 | | house | 45.03 | 62.4 | | sea | 74.52 | 85.01 | | mirror | 71.92 | 79.66 | | rug | 66.26 | 79.7 | | field | 28.49 | 45.26 | | armchair | 52.3 | 71.65 | | seat | 66.73 | 88.45 | | fence | 50.24 | 64.77 | | desk | 55.63 | 75.97 | | rock | 51.93 | 77.59 | | wardrobe | 55.88 | 70.69 | | lamp | 69.74 | 80.04 | | bathtub | 84.35 | 87.77 | | railing | 36.15 | 46.08 | | cushion | 65.34 | 76.53 | | base | 34.54 | 53.62 | | box | 30.35 | 37.27 | | column | 48.02 | 57.92 | | signboard | 39.12 | 52.17 | | chest of drawers | 37.38 | 59.35 | | counter | 29.84 | 38.86 | | sand | 59.53 | 79.05 | | sink | 77.76 | 84.8 | | skyscraper | 53.29 | 68.4 | | fireplace | 74.46 | 93.34 | | refrigerator | 82.8 | 89.88 | | grandstand | 52.83 | 74.11 | | path | 18.75 | 25.02 | | stairs | 38.19 | 46.81 | | runway | 71.16 | 93.37 | | case | 49.69 | 62.22 | | pool table | 94.26 | 97.96 | | pillow | 65.53 | 76.86 | | screen door | 72.77 | 88.94 | | stairway | 39.18 | 49.68 | | river | 11.14 | 23.75 | | bridge | 77.73 | 90.09 | | bookcase | 39.56 | 63.75 | | blind | 36.09 | 39.99 | | coffee table | 64.18 | 83.25 | | toilet | 87.89 | 91.68 | | flower | 42.43 | 59.06 | | book | 48.34 | 64.43 | | hill | 12.27 | 17.49 | | bench | 50.22 | 58.01 | | countertop | 62.89 | 80.19 | | stove | 79.78 | 91.73 | | palm | 54.86 | 81.29 | | kitchen island | 47.9 | 82.47 | | computer | 78.75 | 90.51 | | swivel chair | 46.41 | 62.96 | | boat | 74.29 | 88.96 | | bar | 51.2 | 72.37 | | arcade machine | 65.95 | 69.09 | | hovel | 38.14 | 55.7 | | bus | 93.59 | 96.65 | | towel | 70.47 | 84.56 | | light | 58.01 | 67.33 | | truck | 41.89 | 54.3 | | tower | 25.58 | 38.68 | | chandelier | 71.24 | 83.95 | | awning | 35.77 | 43.43 | | streetlight | 35.13 | 45.02 | | booth | 61.75 | 72.43 | | television receiver | 74.25 | 89.0 | | airplane | 64.89 | 71.01 | | dirt track | 2.56 | 11.6 | | apparel | 48.88 | 59.35 | | pole | 27.02 | 36.02 | | land | 4.74 | 7.31 | | bannister | 15.02 | 18.72 | | escalator | 45.99 | 57.64 | | ottoman | 51.45 | 70.72 | | bottle | 42.13 | 68.14 | | buffet | 59.38 | 71.54 | | poster | 34.78 | 49.39 | | stage | 18.04 | 28.2 | | van | 49.85 | 64.63 | | ship | 11.37 | 12.92 | | fountain | 32.81 | 34.29 | | conveyer belt | 76.41 | 92.4 | | canopy | 52.05 | 65.83 | | washer | 88.29 | 94.35 | | plaything | 31.76 | 38.05 | | swimming pool | 69.47 | 86.09 | | stool | 45.78 | 59.87 | | barrel | 72.95 | 85.71 | | basket | 40.09 | 60.26 | | waterfall | 50.87 | 59.65 | | tent | 91.81 | 97.92 | | bag | 17.77 | 21.11 | | minibike | 72.82 | 88.82 | | cradle | 83.3 | 97.78 | | oven | 60.55 | 73.03 | | ball | 46.73 | 50.25 | | food | 42.06 | 47.66 | | step | 11.12 | 13.03 | | tank | 64.1 | 66.79 | | trade name | 26.09 | 30.47 | | microwave | 86.87 | 95.3 | | pot | 47.42 | 52.37 | | animal | 61.83 | 63.48 | | bicycle | 58.12 | 79.06 | | lake | 60.45 | 63.69 | | dishwasher | 77.22 | 80.25 | | screen | 49.99 | 74.02 | | blanket | 26.94 | 32.21 | | sculpture | 76.27 | 85.96 | | hood | 60.38 | 72.79 | | sconce | 55.14 | 64.55 | | vase | 46.43 | 62.62 | | traffic light | 38.83 | 58.48 | | tray | 13.95 | 23.58 | | ashcan | 46.3 | 65.19 | | fan | 69.51 | 82.54 | | pier | 35.9 | 43.08 | | crt screen | 3.74 | 10.27 | | plate | 58.77 | 73.31 | | monitor | 23.5 | 27.8 | | bulletin board | 47.2 | 57.63 | | shower | 9.37 | 10.49 | | radiator | 73.12 | 82.8 | | glass | 19.64 | 21.26 | | clock | 51.25 | 61.08 | | flag | 36.34 | 39.23 | +---------------------+-------+-------+ 2023-01-30 08:22:33,583 - mmseg - INFO - Summary: 2023-01-30 08:22:33,583 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 84.89 | 54.36 | 66.07 | +-------+-------+-------+ 2023-01-30 08:22:33,588 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 08:22:33,589 - mmseg - INFO - Iter(val) [250] aAcc: 0.8489, mIoU: 0.5436, mAcc: 0.6607, IoU.wall: 0.8038, IoU.building: 0.8405, IoU.sky: 0.9487, IoU.floor: 0.8337, IoU.tree: 0.7571, IoU.ceiling: 0.8580, IoU.road: 0.8335, IoU.bed : 0.9168, IoU.windowpane: 0.6375, IoU.grass: 0.6666, IoU.cabinet: 0.6450, IoU.sidewalk: 0.6539, IoU.person: 0.8471, IoU.earth: 0.3975, IoU.door: 0.5548, IoU.table: 0.6772, IoU.mountain: 0.5745, IoU.plant: 0.5207, IoU.curtain: 0.7623, IoU.chair: 0.6373, IoU.car: 0.8595, IoU.water: 0.6645, IoU.painting: 0.7642, IoU.sofa: 0.7329, IoU.shelf: 0.4681, IoU.house: 0.4503, IoU.sea: 0.7452, IoU.mirror: 0.7192, IoU.rug: 0.6626, IoU.field: 0.2849, IoU.armchair: 0.5230, IoU.seat: 0.6673, IoU.fence: 0.5024, IoU.desk: 0.5563, IoU.rock: 0.5193, IoU.wardrobe: 0.5588, IoU.lamp: 0.6974, IoU.bathtub: 0.8435, IoU.railing: 0.3615, IoU.cushion: 0.6534, IoU.base: 0.3454, IoU.box: 0.3035, IoU.column: 0.4802, IoU.signboard: 0.3912, IoU.chest of drawers: 0.3738, IoU.counter: 0.2984, IoU.sand: 0.5953, IoU.sink: 0.7776, IoU.skyscraper: 0.5329, IoU.fireplace: 0.7446, IoU.refrigerator: 0.8280, IoU.grandstand: 0.5283, IoU.path: 0.1875, IoU.stairs: 0.3819, IoU.runway: 0.7116, IoU.case: 0.4969, IoU.pool table: 0.9426, IoU.pillow: 0.6553, IoU.screen door: 0.7277, IoU.stairway: 0.3918, IoU.river: 0.1114, IoU.bridge: 0.7773, IoU.bookcase: 0.3956, IoU.blind: 0.3609, IoU.coffee table: 0.6418, IoU.toilet: 0.8789, IoU.flower: 0.4243, IoU.book: 0.4834, IoU.hill: 0.1227, IoU.bench: 0.5022, IoU.countertop: 0.6289, IoU.stove: 0.7978, IoU.palm: 0.5486, IoU.kitchen island: 0.4790, IoU.computer: 0.7875, IoU.swivel chair: 0.4641, IoU.boat: 0.7429, IoU.bar: 0.5120, IoU.arcade machine: 0.6595, IoU.hovel: 0.3814, IoU.bus: 0.9359, IoU.towel: 0.7047, IoU.light: 0.5801, IoU.truck: 0.4189, IoU.tower: 0.2558, IoU.chandelier: 0.7124, IoU.awning: 0.3577, IoU.streetlight: 0.3513, IoU.booth: 0.6175, IoU.television receiver: 0.7425, IoU.airplane: 0.6489, IoU.dirt track: 0.0256, IoU.apparel: 0.4888, IoU.pole: 0.2702, IoU.land: 0.0474, IoU.bannister: 0.1502, IoU.escalator: 0.4599, IoU.ottoman: 0.5145, IoU.bottle: 0.4213, IoU.buffet: 0.5938, IoU.poster: 0.3478, IoU.stage: 0.1804, IoU.van: 0.4985, IoU.ship: 0.1137, IoU.fountain: 0.3281, IoU.conveyer belt: 0.7641, IoU.canopy: 0.5205, IoU.washer: 0.8829, IoU.plaything: 0.3176, IoU.swimming pool: 0.6947, IoU.stool: 0.4578, IoU.barrel: 0.7295, IoU.basket: 0.4009, IoU.waterfall: 0.5087, IoU.tent: 0.9181, IoU.bag: 0.1777, IoU.minibike: 0.7282, IoU.cradle: 0.8330, IoU.oven: 0.6055, IoU.ball: 0.4673, IoU.food: 0.4206, IoU.step: 0.1112, IoU.tank: 0.6410, IoU.trade name: 0.2609, IoU.microwave: 0.8687, IoU.pot: 0.4742, IoU.animal: 0.6183, IoU.bicycle: 0.5812, IoU.lake: 0.6045, IoU.dishwasher: 0.7722, IoU.screen: 0.4999, IoU.blanket: 0.2694, IoU.sculpture: 0.7627, IoU.hood: 0.6038, IoU.sconce: 0.5514, IoU.vase: 0.4643, IoU.traffic light: 0.3883, IoU.tray: 0.1395, IoU.ashcan: 0.4630, IoU.fan: 0.6951, IoU.pier: 0.3590, IoU.crt screen: 0.0374, IoU.plate: 0.5877, IoU.monitor: 0.2350, IoU.bulletin board: 0.4720, IoU.shower: 0.0937, IoU.radiator: 0.7312, IoU.glass: 0.1964, IoU.clock: 0.5125, IoU.flag: 0.3634, Acc.wall: 0.8951, Acc.building: 0.9297, Acc.sky: 0.9753, Acc.floor: 0.9100, Acc.tree: 0.8901, Acc.ceiling: 0.9347, Acc.road: 0.8987, Acc.bed : 0.9696, Acc.windowpane: 0.7969, Acc.grass: 0.8245, Acc.cabinet: 0.7629, Acc.sidewalk: 0.8283, Acc.person: 0.9367, Acc.earth: 0.5399, Acc.door: 0.6823, Acc.table: 0.8082, Acc.mountain: 0.7132, Acc.plant: 0.6040, Acc.curtain: 0.8821, Acc.chair: 0.7665, Acc.car: 0.9402, Acc.water: 0.8282, Acc.painting: 0.8940, Acc.sofa: 0.8702, Acc.shelf: 0.6494, Acc.house: 0.6240, Acc.sea: 0.8501, Acc.mirror: 0.7966, Acc.rug: 0.7970, Acc.field: 0.4526, Acc.armchair: 0.7165, Acc.seat: 0.8845, Acc.fence: 0.6477, Acc.desk: 0.7597, Acc.rock: 0.7759, Acc.wardrobe: 0.7069, Acc.lamp: 0.8004, Acc.bathtub: 0.8777, Acc.railing: 0.4608, Acc.cushion: 0.7653, Acc.base: 0.5362, Acc.box: 0.3727, Acc.column: 0.5792, Acc.signboard: 0.5217, Acc.chest of drawers: 0.5935, Acc.counter: 0.3886, Acc.sand: 0.7905, Acc.sink: 0.8480, Acc.skyscraper: 0.6840, Acc.fireplace: 0.9334, Acc.refrigerator: 0.8988, Acc.grandstand: 0.7411, Acc.path: 0.2502, Acc.stairs: 0.4681, Acc.runway: 0.9337, Acc.case: 0.6222, Acc.pool table: 0.9796, Acc.pillow: 0.7686, Acc.screen door: 0.8894, Acc.stairway: 0.4968, Acc.river: 0.2375, Acc.bridge: 0.9009, Acc.bookcase: 0.6375, Acc.blind: 0.3999, Acc.coffee table: 0.8325, Acc.toilet: 0.9168, Acc.flower: 0.5906, Acc.book: 0.6443, Acc.hill: 0.1749, Acc.bench: 0.5801, Acc.countertop: 0.8019, Acc.stove: 0.9173, Acc.palm: 0.8129, Acc.kitchen island: 0.8247, Acc.computer: 0.9051, Acc.swivel chair: 0.6296, Acc.boat: 0.8896, Acc.bar: 0.7237, Acc.arcade machine: 0.6909, Acc.hovel: 0.5570, Acc.bus: 0.9665, Acc.towel: 0.8456, Acc.light: 0.6733, Acc.truck: 0.5430, Acc.tower: 0.3868, Acc.chandelier: 0.8395, Acc.awning: 0.4343, Acc.streetlight: 0.4502, Acc.booth: 0.7243, Acc.television receiver: 0.8900, Acc.airplane: 0.7101, Acc.dirt track: 0.1160, Acc.apparel: 0.5935, Acc.pole: 0.3602, Acc.land: 0.0731, Acc.bannister: 0.1872, Acc.escalator: 0.5764, Acc.ottoman: 0.7072, Acc.bottle: 0.6814, Acc.buffet: 0.7154, Acc.poster: 0.4939, Acc.stage: 0.2820, Acc.van: 0.6463, Acc.ship: 0.1292, Acc.fountain: 0.3429, Acc.conveyer belt: 0.9240, Acc.canopy: 0.6583, Acc.washer: 0.9435, Acc.plaything: 0.3805, Acc.swimming pool: 0.8609, Acc.stool: 0.5987, Acc.barrel: 0.8571, Acc.basket: 0.6026, Acc.waterfall: 0.5965, Acc.tent: 0.9792, Acc.bag: 0.2111, Acc.minibike: 0.8882, Acc.cradle: 0.9778, Acc.oven: 0.7303, Acc.ball: 0.5025, Acc.food: 0.4766, Acc.step: 0.1303, Acc.tank: 0.6679, Acc.trade name: 0.3047, Acc.microwave: 0.9530, Acc.pot: 0.5237, Acc.animal: 0.6348, Acc.bicycle: 0.7906, Acc.lake: 0.6369, Acc.dishwasher: 0.8025, Acc.screen: 0.7402, Acc.blanket: 0.3221, Acc.sculpture: 0.8596, Acc.hood: 0.7279, Acc.sconce: 0.6455, Acc.vase: 0.6262, Acc.traffic light: 0.5848, Acc.tray: 0.2358, Acc.ashcan: 0.6519, Acc.fan: 0.8254, Acc.pier: 0.4308, Acc.crt screen: 0.1027, Acc.plate: 0.7331, Acc.monitor: 0.2780, Acc.bulletin board: 0.5763, Acc.shower: 0.1049, Acc.radiator: 0.8280, Acc.glass: 0.2126, Acc.clock: 0.6108, Acc.flag: 0.3923 2023-01-30 08:22:53,512 - mmseg - INFO - Iter [128050/160000] lr: 1.198e-05, eta: 3:40:26, time: 0.982, data_time: 0.587, memory: 12319, decode.loss_ce: 0.1573, decode.acc_seg: 74.7853, aux.loss_ce: 0.0726, aux.acc_seg: 74.0610, loss: 0.2299 2023-01-30 08:23:13,467 - mmseg - INFO - Iter [128100/160000] lr: 1.196e-05, eta: 3:40:05, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1435, decode.acc_seg: 73.6817, aux.loss_ce: 0.0661, aux.acc_seg: 73.0629, loss: 0.2096 2023-01-30 08:23:33,058 - mmseg - INFO - Iter [128150/160000] lr: 1.194e-05, eta: 3:39:44, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1666, decode.acc_seg: 75.0049, aux.loss_ce: 0.0761, aux.acc_seg: 74.3016, loss: 0.2427 2023-01-30 08:23:53,074 - mmseg - INFO - Iter [128200/160000] lr: 1.193e-05, eta: 3:39:23, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1562, decode.acc_seg: 76.0198, aux.loss_ce: 0.0720, aux.acc_seg: 75.3874, loss: 0.2282 2023-01-30 08:24:12,920 - mmseg - INFO - Iter [128250/160000] lr: 1.191e-05, eta: 3:39:02, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1605, decode.acc_seg: 75.7244, aux.loss_ce: 0.0744, aux.acc_seg: 74.9089, loss: 0.2349 2023-01-30 08:24:32,540 - mmseg - INFO - Iter [128300/160000] lr: 1.189e-05, eta: 3:38:41, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1525, decode.acc_seg: 74.3437, aux.loss_ce: 0.0697, aux.acc_seg: 73.7046, loss: 0.2222 2023-01-30 08:24:52,330 - mmseg - INFO - Iter [128350/160000] lr: 1.187e-05, eta: 3:38:20, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1596, decode.acc_seg: 75.1698, aux.loss_ce: 0.0737, aux.acc_seg: 74.4791, loss: 0.2333 2023-01-30 08:25:12,088 - mmseg - INFO - Iter [128400/160000] lr: 1.185e-05, eta: 3:37:59, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1494, decode.acc_seg: 75.2372, aux.loss_ce: 0.0686, aux.acc_seg: 74.6028, loss: 0.2180 2023-01-30 08:25:31,641 - mmseg - INFO - Iter [128450/160000] lr: 1.183e-05, eta: 3:37:38, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1638, decode.acc_seg: 74.7642, aux.loss_ce: 0.0773, aux.acc_seg: 73.9964, loss: 0.2411 2023-01-30 08:25:51,410 - mmseg - INFO - Iter [128500/160000] lr: 1.181e-05, eta: 3:37:17, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1553, decode.acc_seg: 75.6495, aux.loss_ce: 0.0722, aux.acc_seg: 74.9415, loss: 0.2274 2023-01-30 08:26:11,108 - mmseg - INFO - Iter [128550/160000] lr: 1.179e-05, eta: 3:36:56, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1538, decode.acc_seg: 76.2252, aux.loss_ce: 0.0712, aux.acc_seg: 75.5573, loss: 0.2250 2023-01-30 08:26:31,059 - mmseg - INFO - Iter [128600/160000] lr: 1.178e-05, eta: 3:36:36, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1563, decode.acc_seg: 75.4875, aux.loss_ce: 0.0712, aux.acc_seg: 74.8322, loss: 0.2275 2023-01-30 08:26:50,806 - mmseg - INFO - Iter [128650/160000] lr: 1.176e-05, eta: 3:36:15, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1578, decode.acc_seg: 75.0090, aux.loss_ce: 0.0726, aux.acc_seg: 74.3570, loss: 0.2304 2023-01-30 08:27:10,404 - mmseg - INFO - Iter [128700/160000] lr: 1.174e-05, eta: 3:35:54, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1639, decode.acc_seg: 75.4808, aux.loss_ce: 0.0748, aux.acc_seg: 74.7875, loss: 0.2387 2023-01-30 08:27:30,255 - mmseg - INFO - Iter [128750/160000] lr: 1.172e-05, eta: 3:35:33, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1513, decode.acc_seg: 75.4216, aux.loss_ce: 0.0697, aux.acc_seg: 74.7538, loss: 0.2210 2023-01-30 08:27:50,025 - mmseg - INFO - Iter [128800/160000] lr: 1.170e-05, eta: 3:35:12, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1658, decode.acc_seg: 75.3505, aux.loss_ce: 0.0767, aux.acc_seg: 74.6393, loss: 0.2426 2023-01-30 08:28:12,376 - mmseg - INFO - Iter [128850/160000] lr: 1.168e-05, eta: 3:34:52, time: 0.447, data_time: 0.051, memory: 12319, decode.loss_ce: 0.1529, decode.acc_seg: 75.2151, aux.loss_ce: 0.0704, aux.acc_seg: 74.5478, loss: 0.2232 2023-01-30 08:28:32,495 - mmseg - INFO - Iter [128900/160000] lr: 1.166e-05, eta: 3:34:31, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1554, decode.acc_seg: 74.6029, aux.loss_ce: 0.0721, aux.acc_seg: 73.8589, loss: 0.2275 2023-01-30 08:28:52,205 - mmseg - INFO - Iter [128950/160000] lr: 1.164e-05, eta: 3:34:10, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1526, decode.acc_seg: 76.7291, aux.loss_ce: 0.0707, aux.acc_seg: 76.0659, loss: 0.2233 2023-01-30 08:29:11,968 - mmseg - INFO - Saving checkpoint at 129000 iterations 2023-01-30 08:29:22,551 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 08:29:22,552 - mmseg - INFO - Iter [129000/160000] lr: 1.163e-05, eta: 3:33:51, time: 0.607, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1536, decode.acc_seg: 75.4872, aux.loss_ce: 0.0709, aux.acc_seg: 74.8635, loss: 0.2245 2023-01-30 08:29:42,788 - mmseg - INFO - Iter [129050/160000] lr: 1.161e-05, eta: 3:33:31, time: 0.405, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1566, decode.acc_seg: 74.9678, aux.loss_ce: 0.0720, aux.acc_seg: 74.2517, loss: 0.2286 2023-01-30 08:30:02,402 - mmseg - INFO - Iter [129100/160000] lr: 1.159e-05, eta: 3:33:10, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1554, decode.acc_seg: 75.6120, aux.loss_ce: 0.0726, aux.acc_seg: 74.9028, loss: 0.2280 2023-01-30 08:30:22,266 - mmseg - INFO - Iter [129150/160000] lr: 1.157e-05, eta: 3:32:49, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1492, decode.acc_seg: 76.8046, aux.loss_ce: 0.0689, aux.acc_seg: 76.1070, loss: 0.2181 2023-01-30 08:30:41,991 - mmseg - INFO - Iter [129200/160000] lr: 1.155e-05, eta: 3:32:28, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1579, decode.acc_seg: 73.9950, aux.loss_ce: 0.0720, aux.acc_seg: 73.3645, loss: 0.2299 2023-01-30 08:31:01,635 - mmseg - INFO - Iter [129250/160000] lr: 1.153e-05, eta: 3:32:07, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1588, decode.acc_seg: 74.7115, aux.loss_ce: 0.0732, aux.acc_seg: 74.0205, loss: 0.2319 2023-01-30 08:31:21,726 - mmseg - INFO - Iter [129300/160000] lr: 1.151e-05, eta: 3:31:46, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1620, decode.acc_seg: 73.1507, aux.loss_ce: 0.0746, aux.acc_seg: 72.4230, loss: 0.2367 2023-01-30 08:31:41,419 - mmseg - INFO - Iter [129350/160000] lr: 1.149e-05, eta: 3:31:25, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1557, decode.acc_seg: 74.9954, aux.loss_ce: 0.0708, aux.acc_seg: 74.3821, loss: 0.2264 2023-01-30 08:32:01,507 - mmseg - INFO - Iter [129400/160000] lr: 1.148e-05, eta: 3:31:04, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1478, decode.acc_seg: 76.0633, aux.loss_ce: 0.0681, aux.acc_seg: 75.4182, loss: 0.2158 2023-01-30 08:32:21,236 - mmseg - INFO - Iter [129450/160000] lr: 1.146e-05, eta: 3:30:43, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1520, decode.acc_seg: 76.2972, aux.loss_ce: 0.0702, aux.acc_seg: 75.5990, loss: 0.2222 2023-01-30 08:32:41,060 - mmseg - INFO - Iter [129500/160000] lr: 1.144e-05, eta: 3:30:22, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1611, decode.acc_seg: 74.5611, aux.loss_ce: 0.0740, aux.acc_seg: 73.8680, loss: 0.2351 2023-01-30 08:33:00,995 - mmseg - INFO - Iter [129550/160000] lr: 1.142e-05, eta: 3:30:02, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1661, decode.acc_seg: 75.7474, aux.loss_ce: 0.0753, aux.acc_seg: 75.1037, loss: 0.2414 2023-01-30 08:33:20,959 - mmseg - INFO - Iter [129600/160000] lr: 1.140e-05, eta: 3:29:41, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1644, decode.acc_seg: 76.4487, aux.loss_ce: 0.0756, aux.acc_seg: 75.7651, loss: 0.2399 2023-01-30 08:33:40,953 - mmseg - INFO - Iter [129650/160000] lr: 1.138e-05, eta: 3:29:20, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1552, decode.acc_seg: 76.1503, aux.loss_ce: 0.0717, aux.acc_seg: 75.5142, loss: 0.2269 2023-01-30 08:34:00,894 - mmseg - INFO - Iter [129700/160000] lr: 1.136e-05, eta: 3:28:59, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1570, decode.acc_seg: 76.3681, aux.loss_ce: 0.0723, aux.acc_seg: 75.7066, loss: 0.2293 2023-01-30 08:34:20,716 - mmseg - INFO - Iter [129750/160000] lr: 1.134e-05, eta: 3:28:38, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1593, decode.acc_seg: 73.6841, aux.loss_ce: 0.0735, aux.acc_seg: 72.9433, loss: 0.2329 2023-01-30 08:34:40,407 - mmseg - INFO - Iter [129800/160000] lr: 1.133e-05, eta: 3:28:17, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1549, decode.acc_seg: 75.2744, aux.loss_ce: 0.0721, aux.acc_seg: 74.6119, loss: 0.2270 2023-01-30 08:34:59,964 - mmseg - INFO - Iter [129850/160000] lr: 1.131e-05, eta: 3:27:56, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1621, decode.acc_seg: 76.1323, aux.loss_ce: 0.0736, aux.acc_seg: 75.4978, loss: 0.2357 2023-01-30 08:35:19,443 - mmseg - INFO - Iter [129900/160000] lr: 1.129e-05, eta: 3:27:35, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1543, decode.acc_seg: 75.8241, aux.loss_ce: 0.0714, aux.acc_seg: 75.1728, loss: 0.2257 2023-01-30 08:35:39,171 - mmseg - INFO - Iter [129950/160000] lr: 1.127e-05, eta: 3:27:14, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1533, decode.acc_seg: 76.1844, aux.loss_ce: 0.0707, aux.acc_seg: 75.5242, loss: 0.2239 2023-01-30 08:35:59,008 - mmseg - INFO - Saving checkpoint at 130000 iterations 2023-01-30 08:36:09,360 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 08:36:09,361 - mmseg - INFO - Iter [130000/160000] lr: 1.125e-05, eta: 3:26:56, time: 0.604, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1524, decode.acc_seg: 75.9454, aux.loss_ce: 0.0705, aux.acc_seg: 75.2498, loss: 0.2230 2023-01-30 08:36:30,098 - mmseg - INFO - Iter [130050/160000] lr: 1.123e-05, eta: 3:26:35, time: 0.415, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1500, decode.acc_seg: 75.5791, aux.loss_ce: 0.0699, aux.acc_seg: 74.8979, loss: 0.2200 2023-01-30 08:36:52,864 - mmseg - INFO - Iter [130100/160000] lr: 1.121e-05, eta: 3:26:15, time: 0.455, data_time: 0.052, memory: 12319, decode.loss_ce: 0.1528, decode.acc_seg: 75.5637, aux.loss_ce: 0.0711, aux.acc_seg: 74.8772, loss: 0.2239 2023-01-30 08:37:12,948 - mmseg - INFO - Iter [130150/160000] lr: 1.119e-05, eta: 3:25:54, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1529, decode.acc_seg: 76.0762, aux.loss_ce: 0.0701, aux.acc_seg: 75.4145, loss: 0.2229 2023-01-30 08:37:32,952 - mmseg - INFO - Iter [130200/160000] lr: 1.118e-05, eta: 3:25:33, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1533, decode.acc_seg: 74.5192, aux.loss_ce: 0.0704, aux.acc_seg: 73.8329, loss: 0.2237 2023-01-30 08:37:52,761 - mmseg - INFO - Iter [130250/160000] lr: 1.116e-05, eta: 3:25:12, time: 0.398, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1645, decode.acc_seg: 75.5777, aux.loss_ce: 0.0756, aux.acc_seg: 74.9526, loss: 0.2402 2023-01-30 08:38:12,524 - mmseg - INFO - Iter [130300/160000] lr: 1.114e-05, eta: 3:24:51, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1455, decode.acc_seg: 76.4871, aux.loss_ce: 0.0672, aux.acc_seg: 75.8392, loss: 0.2127 2023-01-30 08:38:32,530 - mmseg - INFO - Iter [130350/160000] lr: 1.112e-05, eta: 3:24:31, time: 0.400, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1626, decode.acc_seg: 74.8034, aux.loss_ce: 0.0747, aux.acc_seg: 74.0649, loss: 0.2373 2023-01-30 08:38:52,422 - mmseg - INFO - Iter [130400/160000] lr: 1.110e-05, eta: 3:24:10, time: 0.398, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1502, decode.acc_seg: 76.3204, aux.loss_ce: 0.0693, aux.acc_seg: 75.6225, loss: 0.2195 2023-01-30 08:39:12,475 - mmseg - INFO - Iter [130450/160000] lr: 1.108e-05, eta: 3:23:49, time: 0.401, data_time: 0.007, memory: 12319, decode.loss_ce: 0.1571, decode.acc_seg: 76.0064, aux.loss_ce: 0.0723, aux.acc_seg: 75.3495, loss: 0.2293 2023-01-30 08:39:32,133 - mmseg - INFO - Iter [130500/160000] lr: 1.106e-05, eta: 3:23:28, time: 0.395, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1427, decode.acc_seg: 74.8858, aux.loss_ce: 0.0659, aux.acc_seg: 74.2654, loss: 0.2087 2023-01-30 08:39:52,084 - mmseg - INFO - Iter [130550/160000] lr: 1.104e-05, eta: 3:23:07, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1553, decode.acc_seg: 75.4310, aux.loss_ce: 0.0712, aux.acc_seg: 74.7987, loss: 0.2265 2023-01-30 08:40:11,716 - mmseg - INFO - Iter [130600/160000] lr: 1.103e-05, eta: 3:22:46, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1508, decode.acc_seg: 75.4829, aux.loss_ce: 0.0704, aux.acc_seg: 74.8186, loss: 0.2211 2023-01-30 08:40:31,518 - mmseg - INFO - Iter [130650/160000] lr: 1.101e-05, eta: 3:22:25, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1525, decode.acc_seg: 75.9910, aux.loss_ce: 0.0700, aux.acc_seg: 75.4168, loss: 0.2226 2023-01-30 08:40:51,539 - mmseg - INFO - Iter [130700/160000] lr: 1.099e-05, eta: 3:22:04, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1612, decode.acc_seg: 74.0215, aux.loss_ce: 0.0741, aux.acc_seg: 73.2902, loss: 0.2352 2023-01-30 08:41:11,233 - mmseg - INFO - Iter [130750/160000] lr: 1.097e-05, eta: 3:21:44, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1586, decode.acc_seg: 77.3208, aux.loss_ce: 0.0734, aux.acc_seg: 76.5885, loss: 0.2319 2023-01-30 08:41:31,074 - mmseg - INFO - Iter [130800/160000] lr: 1.095e-05, eta: 3:21:23, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1484, decode.acc_seg: 74.3566, aux.loss_ce: 0.0687, aux.acc_seg: 73.6333, loss: 0.2171 2023-01-30 08:41:50,779 - mmseg - INFO - Iter [130850/160000] lr: 1.093e-05, eta: 3:21:02, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1692, decode.acc_seg: 75.3797, aux.loss_ce: 0.0774, aux.acc_seg: 74.7139, loss: 0.2466 2023-01-30 08:42:10,608 - mmseg - INFO - Iter [130900/160000] lr: 1.091e-05, eta: 3:20:41, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1477, decode.acc_seg: 75.9045, aux.loss_ce: 0.0683, aux.acc_seg: 75.2627, loss: 0.2160 2023-01-30 08:42:30,676 - mmseg - INFO - Iter [130950/160000] lr: 1.089e-05, eta: 3:20:20, time: 0.401, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1544, decode.acc_seg: 74.3722, aux.loss_ce: 0.0708, aux.acc_seg: 73.7216, loss: 0.2252 2023-01-30 08:42:50,266 - mmseg - INFO - Saving checkpoint at 131000 iterations 2023-01-30 08:43:00,674 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 08:43:00,674 - mmseg - INFO - Iter [131000/160000] lr: 1.088e-05, eta: 3:20:01, time: 0.600, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1537, decode.acc_seg: 75.2553, aux.loss_ce: 0.0709, aux.acc_seg: 74.5572, loss: 0.2246 2023-01-30 08:43:20,638 - mmseg - INFO - Iter [131050/160000] lr: 1.086e-05, eta: 3:19:41, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1434, decode.acc_seg: 75.8709, aux.loss_ce: 0.0664, aux.acc_seg: 75.1946, loss: 0.2098 2023-01-30 08:43:40,409 - mmseg - INFO - Iter [131100/160000] lr: 1.084e-05, eta: 3:19:20, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1578, decode.acc_seg: 76.6405, aux.loss_ce: 0.0728, aux.acc_seg: 75.9190, loss: 0.2306 2023-01-30 08:44:00,151 - mmseg - INFO - Iter [131150/160000] lr: 1.082e-05, eta: 3:18:59, time: 0.398, data_time: 0.007, memory: 12319, decode.loss_ce: 0.1503, decode.acc_seg: 75.4962, aux.loss_ce: 0.0690, aux.acc_seg: 74.8302, loss: 0.2193 2023-01-30 08:44:19,838 - mmseg - INFO - Iter [131200/160000] lr: 1.080e-05, eta: 3:18:38, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1540, decode.acc_seg: 76.4441, aux.loss_ce: 0.0702, aux.acc_seg: 75.8442, loss: 0.2242 2023-01-30 08:44:39,954 - mmseg - INFO - Iter [131250/160000] lr: 1.078e-05, eta: 3:18:17, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1638, decode.acc_seg: 74.1039, aux.loss_ce: 0.0754, aux.acc_seg: 73.4683, loss: 0.2392 2023-01-30 08:44:59,605 - mmseg - INFO - Iter [131300/160000] lr: 1.076e-05, eta: 3:17:56, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1541, decode.acc_seg: 73.9740, aux.loss_ce: 0.0709, aux.acc_seg: 73.3240, loss: 0.2250 2023-01-30 08:45:19,295 - mmseg - INFO - Iter [131350/160000] lr: 1.074e-05, eta: 3:17:35, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1485, decode.acc_seg: 76.0897, aux.loss_ce: 0.0688, aux.acc_seg: 75.4116, loss: 0.2173 2023-01-30 08:45:41,407 - mmseg - INFO - Iter [131400/160000] lr: 1.073e-05, eta: 3:17:15, time: 0.442, data_time: 0.051, memory: 12319, decode.loss_ce: 0.1473, decode.acc_seg: 77.0851, aux.loss_ce: 0.0686, aux.acc_seg: 76.3455, loss: 0.2159 2023-01-30 08:46:00,840 - mmseg - INFO - Iter [131450/160000] lr: 1.071e-05, eta: 3:16:54, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1504, decode.acc_seg: 75.1894, aux.loss_ce: 0.0712, aux.acc_seg: 74.3633, loss: 0.2216 2023-01-30 08:46:20,573 - mmseg - INFO - Iter [131500/160000] lr: 1.069e-05, eta: 3:16:33, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1524, decode.acc_seg: 76.9072, aux.loss_ce: 0.0712, aux.acc_seg: 76.1224, loss: 0.2236 2023-01-30 08:46:40,395 - mmseg - INFO - Iter [131550/160000] lr: 1.067e-05, eta: 3:16:12, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1464, decode.acc_seg: 75.3979, aux.loss_ce: 0.0676, aux.acc_seg: 74.7580, loss: 0.2140 2023-01-30 08:47:00,187 - mmseg - INFO - Iter [131600/160000] lr: 1.065e-05, eta: 3:15:51, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1625, decode.acc_seg: 73.4785, aux.loss_ce: 0.0749, aux.acc_seg: 72.7590, loss: 0.2373 2023-01-30 08:47:19,996 - mmseg - INFO - Iter [131650/160000] lr: 1.063e-05, eta: 3:15:30, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1631, decode.acc_seg: 75.9203, aux.loss_ce: 0.0743, aux.acc_seg: 75.2560, loss: 0.2374 2023-01-30 08:47:39,701 - mmseg - INFO - Iter [131700/160000] lr: 1.061e-05, eta: 3:15:09, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1593, decode.acc_seg: 76.9632, aux.loss_ce: 0.0717, aux.acc_seg: 76.3863, loss: 0.2309 2023-01-30 08:47:59,553 - mmseg - INFO - Iter [131750/160000] lr: 1.059e-05, eta: 3:14:49, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1512, decode.acc_seg: 75.3446, aux.loss_ce: 0.0707, aux.acc_seg: 74.6332, loss: 0.2219 2023-01-30 08:48:19,028 - mmseg - INFO - Iter [131800/160000] lr: 1.058e-05, eta: 3:14:28, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1542, decode.acc_seg: 75.7015, aux.loss_ce: 0.0714, aux.acc_seg: 74.9368, loss: 0.2255 2023-01-30 08:48:39,080 - mmseg - INFO - Iter [131850/160000] lr: 1.056e-05, eta: 3:14:07, time: 0.401, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1525, decode.acc_seg: 74.3928, aux.loss_ce: 0.0708, aux.acc_seg: 73.7544, loss: 0.2234 2023-01-30 08:48:58,719 - mmseg - INFO - Iter [131900/160000] lr: 1.054e-05, eta: 3:13:46, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1472, decode.acc_seg: 76.1306, aux.loss_ce: 0.0691, aux.acc_seg: 75.3698, loss: 0.2163 2023-01-30 08:49:18,287 - mmseg - INFO - Iter [131950/160000] lr: 1.052e-05, eta: 3:13:25, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1618, decode.acc_seg: 75.8053, aux.loss_ce: 0.0744, aux.acc_seg: 75.1635, loss: 0.2363 2023-01-30 08:49:37,957 - mmseg - INFO - Saving checkpoint at 132000 iterations 2023-01-30 08:49:49,014 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 08:49:49,016 - mmseg - INFO - Iter [132000/160000] lr: 1.050e-05, eta: 3:13:06, time: 0.614, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1583, decode.acc_seg: 76.7144, aux.loss_ce: 0.0728, aux.acc_seg: 76.0498, loss: 0.2311 2023-01-30 08:50:08,984 - mmseg - INFO - Iter [132050/160000] lr: 1.048e-05, eta: 3:12:46, time: 0.400, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1678, decode.acc_seg: 74.8175, aux.loss_ce: 0.0771, aux.acc_seg: 74.0594, loss: 0.2448 2023-01-30 08:50:28,996 - mmseg - INFO - Iter [132100/160000] lr: 1.046e-05, eta: 3:12:25, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1519, decode.acc_seg: 75.8604, aux.loss_ce: 0.0704, aux.acc_seg: 75.1740, loss: 0.2223 2023-01-30 08:50:48,964 - mmseg - INFO - Iter [132150/160000] lr: 1.044e-05, eta: 3:12:04, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1524, decode.acc_seg: 75.4838, aux.loss_ce: 0.0701, aux.acc_seg: 74.8145, loss: 0.2225 2023-01-30 08:51:08,442 - mmseg - INFO - Iter [132200/160000] lr: 1.043e-05, eta: 3:11:43, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1527, decode.acc_seg: 76.0072, aux.loss_ce: 0.0698, aux.acc_seg: 75.3972, loss: 0.2225 2023-01-30 08:51:28,072 - mmseg - INFO - Iter [132250/160000] lr: 1.041e-05, eta: 3:11:22, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1531, decode.acc_seg: 75.3293, aux.loss_ce: 0.0717, aux.acc_seg: 74.5164, loss: 0.2248 2023-01-30 08:51:47,779 - mmseg - INFO - Iter [132300/160000] lr: 1.039e-05, eta: 3:11:01, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1622, decode.acc_seg: 75.1168, aux.loss_ce: 0.0752, aux.acc_seg: 74.3598, loss: 0.2374 2023-01-30 08:52:07,462 - mmseg - INFO - Iter [132350/160000] lr: 1.037e-05, eta: 3:10:40, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1557, decode.acc_seg: 76.6763, aux.loss_ce: 0.0714, aux.acc_seg: 75.9755, loss: 0.2272 2023-01-30 08:52:27,026 - mmseg - INFO - Iter [132400/160000] lr: 1.035e-05, eta: 3:10:19, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1543, decode.acc_seg: 75.7096, aux.loss_ce: 0.0713, aux.acc_seg: 74.9782, loss: 0.2256 2023-01-30 08:52:46,763 - mmseg - INFO - Iter [132450/160000] lr: 1.033e-05, eta: 3:09:58, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1496, decode.acc_seg: 74.5200, aux.loss_ce: 0.0692, aux.acc_seg: 73.8016, loss: 0.2188 2023-01-30 08:53:06,507 - mmseg - INFO - Iter [132500/160000] lr: 1.031e-05, eta: 3:09:37, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1548, decode.acc_seg: 75.3827, aux.loss_ce: 0.0714, aux.acc_seg: 74.7027, loss: 0.2261 2023-01-30 08:53:26,317 - mmseg - INFO - Iter [132550/160000] lr: 1.029e-05, eta: 3:09:17, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1625, decode.acc_seg: 74.6609, aux.loss_ce: 0.0750, aux.acc_seg: 73.9202, loss: 0.2375 2023-01-30 08:53:46,040 - mmseg - INFO - Iter [132600/160000] lr: 1.028e-05, eta: 3:08:56, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1574, decode.acc_seg: 76.1021, aux.loss_ce: 0.0732, aux.acc_seg: 75.3691, loss: 0.2306 2023-01-30 08:54:08,707 - mmseg - INFO - Iter [132650/160000] lr: 1.026e-05, eta: 3:08:35, time: 0.454, data_time: 0.056, memory: 12319, decode.loss_ce: 0.1459, decode.acc_seg: 76.5377, aux.loss_ce: 0.0678, aux.acc_seg: 75.8628, loss: 0.2137 2023-01-30 08:54:28,484 - mmseg - INFO - Iter [132700/160000] lr: 1.024e-05, eta: 3:08:15, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1501, decode.acc_seg: 76.1817, aux.loss_ce: 0.0692, aux.acc_seg: 75.5357, loss: 0.2193 2023-01-30 08:54:48,190 - mmseg - INFO - Iter [132750/160000] lr: 1.022e-05, eta: 3:07:54, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1473, decode.acc_seg: 76.2848, aux.loss_ce: 0.0681, aux.acc_seg: 75.6393, loss: 0.2154 2023-01-30 08:55:07,998 - mmseg - INFO - Iter [132800/160000] lr: 1.020e-05, eta: 3:07:33, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1598, decode.acc_seg: 74.4332, aux.loss_ce: 0.0744, aux.acc_seg: 73.7659, loss: 0.2343 2023-01-30 08:55:27,688 - mmseg - INFO - Iter [132850/160000] lr: 1.018e-05, eta: 3:07:12, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1529, decode.acc_seg: 75.2910, aux.loss_ce: 0.0701, aux.acc_seg: 74.6446, loss: 0.2230 2023-01-30 08:55:47,326 - mmseg - INFO - Iter [132900/160000] lr: 1.016e-05, eta: 3:06:51, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1623, decode.acc_seg: 76.0451, aux.loss_ce: 0.0747, aux.acc_seg: 75.3243, loss: 0.2370 2023-01-30 08:56:07,045 - mmseg - INFO - Iter [132950/160000] lr: 1.014e-05, eta: 3:06:30, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1571, decode.acc_seg: 75.6486, aux.loss_ce: 0.0731, aux.acc_seg: 75.0040, loss: 0.2302 2023-01-30 08:56:26,981 - mmseg - INFO - Saving checkpoint at 133000 iterations 2023-01-30 08:56:37,648 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 08:56:37,652 - mmseg - INFO - Iter [133000/160000] lr: 1.013e-05, eta: 3:06:11, time: 0.611, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1579, decode.acc_seg: 75.0706, aux.loss_ce: 0.0732, aux.acc_seg: 74.3424, loss: 0.2311 2023-01-30 08:56:57,504 - mmseg - INFO - Iter [133050/160000] lr: 1.011e-05, eta: 3:05:51, time: 0.398, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1617, decode.acc_seg: 75.8608, aux.loss_ce: 0.0749, aux.acc_seg: 75.1192, loss: 0.2365 2023-01-30 08:57:17,198 - mmseg - INFO - Iter [133100/160000] lr: 1.009e-05, eta: 3:05:30, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1544, decode.acc_seg: 74.8718, aux.loss_ce: 0.0714, aux.acc_seg: 74.1254, loss: 0.2258 2023-01-30 08:57:37,051 - mmseg - INFO - Iter [133150/160000] lr: 1.007e-05, eta: 3:05:09, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1471, decode.acc_seg: 75.2484, aux.loss_ce: 0.0687, aux.acc_seg: 74.5448, loss: 0.2158 2023-01-30 08:57:56,704 - mmseg - INFO - Iter [133200/160000] lr: 1.005e-05, eta: 3:04:48, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1534, decode.acc_seg: 76.0026, aux.loss_ce: 0.0704, aux.acc_seg: 75.3108, loss: 0.2238 2023-01-30 08:58:16,370 - mmseg - INFO - Iter [133250/160000] lr: 1.003e-05, eta: 3:04:27, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1464, decode.acc_seg: 75.3652, aux.loss_ce: 0.0677, aux.acc_seg: 74.7497, loss: 0.2141 2023-01-30 08:58:36,320 - mmseg - INFO - Iter [133300/160000] lr: 1.001e-05, eta: 3:04:06, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1477, decode.acc_seg: 75.6296, aux.loss_ce: 0.0683, aux.acc_seg: 74.9932, loss: 0.2160 2023-01-30 08:58:56,207 - mmseg - INFO - Iter [133350/160000] lr: 9.994e-06, eta: 3:03:45, time: 0.398, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1585, decode.acc_seg: 75.5645, aux.loss_ce: 0.0740, aux.acc_seg: 74.8419, loss: 0.2325 2023-01-30 08:59:15,672 - mmseg - INFO - Iter [133400/160000] lr: 9.975e-06, eta: 3:03:24, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1561, decode.acc_seg: 74.4795, aux.loss_ce: 0.0722, aux.acc_seg: 73.7723, loss: 0.2283 2023-01-30 08:59:35,208 - mmseg - INFO - Iter [133450/160000] lr: 9.957e-06, eta: 3:03:04, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1455, decode.acc_seg: 75.3644, aux.loss_ce: 0.0670, aux.acc_seg: 74.6817, loss: 0.2126 2023-01-30 08:59:54,855 - mmseg - INFO - Iter [133500/160000] lr: 9.938e-06, eta: 3:02:43, time: 0.393, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1574, decode.acc_seg: 76.3643, aux.loss_ce: 0.0729, aux.acc_seg: 75.6158, loss: 0.2303 2023-01-30 09:00:14,788 - mmseg - INFO - Iter [133550/160000] lr: 9.919e-06, eta: 3:02:22, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1506, decode.acc_seg: 75.4988, aux.loss_ce: 0.0696, aux.acc_seg: 74.8784, loss: 0.2201 2023-01-30 09:00:34,616 - mmseg - INFO - Iter [133600/160000] lr: 9.900e-06, eta: 3:02:01, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1566, decode.acc_seg: 74.6195, aux.loss_ce: 0.0714, aux.acc_seg: 73.9670, loss: 0.2280 2023-01-30 09:00:54,227 - mmseg - INFO - Iter [133650/160000] lr: 9.882e-06, eta: 3:01:40, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1634, decode.acc_seg: 75.9282, aux.loss_ce: 0.0758, aux.acc_seg: 75.2148, loss: 0.2391 2023-01-30 09:01:13,727 - mmseg - INFO - Iter [133700/160000] lr: 9.863e-06, eta: 3:01:19, time: 0.390, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1568, decode.acc_seg: 75.4048, aux.loss_ce: 0.0721, aux.acc_seg: 74.6679, loss: 0.2289 2023-01-30 09:01:33,583 - mmseg - INFO - Iter [133750/160000] lr: 9.844e-06, eta: 3:00:58, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1453, decode.acc_seg: 76.6230, aux.loss_ce: 0.0672, aux.acc_seg: 75.9935, loss: 0.2125 2023-01-30 09:01:53,303 - mmseg - INFO - Iter [133800/160000] lr: 9.825e-06, eta: 3:00:37, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1467, decode.acc_seg: 74.3596, aux.loss_ce: 0.0681, aux.acc_seg: 73.7222, loss: 0.2148 2023-01-30 09:02:13,003 - mmseg - INFO - Iter [133850/160000] lr: 9.807e-06, eta: 3:00:17, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1545, decode.acc_seg: 76.3790, aux.loss_ce: 0.0711, aux.acc_seg: 75.7369, loss: 0.2256 2023-01-30 09:02:36,115 - mmseg - INFO - Iter [133900/160000] lr: 9.788e-06, eta: 2:59:56, time: 0.463, data_time: 0.054, memory: 12319, decode.loss_ce: 0.1412, decode.acc_seg: 75.9918, aux.loss_ce: 0.0661, aux.acc_seg: 75.2922, loss: 0.2073 2023-01-30 09:02:56,108 - mmseg - INFO - Iter [133950/160000] lr: 9.769e-06, eta: 2:59:36, time: 0.400, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1595, decode.acc_seg: 73.9820, aux.loss_ce: 0.0741, aux.acc_seg: 73.2326, loss: 0.2337 2023-01-30 09:03:15,702 - mmseg - INFO - Saving checkpoint at 134000 iterations 2023-01-30 09:03:26,280 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 09:03:26,280 - mmseg - INFO - Iter [134000/160000] lr: 9.750e-06, eta: 2:59:17, time: 0.603, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1518, decode.acc_seg: 76.1266, aux.loss_ce: 0.0700, aux.acc_seg: 75.4846, loss: 0.2218 2023-01-30 09:03:46,303 - mmseg - INFO - Iter [134050/160000] lr: 9.732e-06, eta: 2:58:56, time: 0.401, data_time: 0.007, memory: 12319, decode.loss_ce: 0.1505, decode.acc_seg: 77.0935, aux.loss_ce: 0.0693, aux.acc_seg: 76.4270, loss: 0.2198 2023-01-30 09:04:05,946 - mmseg - INFO - Iter [134100/160000] lr: 9.713e-06, eta: 2:58:35, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1529, decode.acc_seg: 75.2172, aux.loss_ce: 0.0710, aux.acc_seg: 74.5262, loss: 0.2239 2023-01-30 09:04:25,740 - mmseg - INFO - Iter [134150/160000] lr: 9.694e-06, eta: 2:58:14, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1526, decode.acc_seg: 76.0243, aux.loss_ce: 0.0710, aux.acc_seg: 75.3212, loss: 0.2237 2023-01-30 09:04:45,572 - mmseg - INFO - Iter [134200/160000] lr: 9.675e-06, eta: 2:57:53, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1543, decode.acc_seg: 76.3823, aux.loss_ce: 0.0720, aux.acc_seg: 75.6179, loss: 0.2263 2023-01-30 09:05:05,457 - mmseg - INFO - Iter [134250/160000] lr: 9.657e-06, eta: 2:57:32, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1416, decode.acc_seg: 74.1033, aux.loss_ce: 0.0653, aux.acc_seg: 73.4935, loss: 0.2068 2023-01-30 09:05:25,188 - mmseg - INFO - Iter [134300/160000] lr: 9.638e-06, eta: 2:57:12, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1586, decode.acc_seg: 73.2828, aux.loss_ce: 0.0722, aux.acc_seg: 72.6616, loss: 0.2308 2023-01-30 09:05:45,073 - mmseg - INFO - Iter [134350/160000] lr: 9.619e-06, eta: 2:56:51, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1587, decode.acc_seg: 75.3508, aux.loss_ce: 0.0726, aux.acc_seg: 74.6767, loss: 0.2314 2023-01-30 09:06:04,939 - mmseg - INFO - Iter [134400/160000] lr: 9.600e-06, eta: 2:56:30, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1524, decode.acc_seg: 75.3974, aux.loss_ce: 0.0703, aux.acc_seg: 74.7612, loss: 0.2227 2023-01-30 09:06:24,827 - mmseg - INFO - Iter [134450/160000] lr: 9.582e-06, eta: 2:56:09, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1487, decode.acc_seg: 75.8269, aux.loss_ce: 0.0693, aux.acc_seg: 75.0478, loss: 0.2181 2023-01-30 09:06:44,789 - mmseg - INFO - Iter [134500/160000] lr: 9.563e-06, eta: 2:55:48, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1502, decode.acc_seg: 76.5540, aux.loss_ce: 0.0700, aux.acc_seg: 75.8304, loss: 0.2202 2023-01-30 09:07:04,683 - mmseg - INFO - Iter [134550/160000] lr: 9.544e-06, eta: 2:55:27, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1532, decode.acc_seg: 76.0109, aux.loss_ce: 0.0711, aux.acc_seg: 75.4167, loss: 0.2243 2023-01-30 09:07:24,277 - mmseg - INFO - Iter [134600/160000] lr: 9.525e-06, eta: 2:55:07, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1492, decode.acc_seg: 76.7844, aux.loss_ce: 0.0687, aux.acc_seg: 76.2032, loss: 0.2179 2023-01-30 09:07:44,115 - mmseg - INFO - Iter [134650/160000] lr: 9.507e-06, eta: 2:54:46, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1568, decode.acc_seg: 77.1383, aux.loss_ce: 0.0716, aux.acc_seg: 76.5230, loss: 0.2284 2023-01-30 09:08:03,464 - mmseg - INFO - Iter [134700/160000] lr: 9.488e-06, eta: 2:54:25, time: 0.387, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1511, decode.acc_seg: 75.4466, aux.loss_ce: 0.0700, aux.acc_seg: 74.7192, loss: 0.2211 2023-01-30 09:08:23,268 - mmseg - INFO - Iter [134750/160000] lr: 9.469e-06, eta: 2:54:04, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1451, decode.acc_seg: 76.5984, aux.loss_ce: 0.0677, aux.acc_seg: 75.8555, loss: 0.2128 2023-01-30 09:08:42,934 - mmseg - INFO - Iter [134800/160000] lr: 9.450e-06, eta: 2:53:43, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1510, decode.acc_seg: 75.8331, aux.loss_ce: 0.0703, aux.acc_seg: 75.0830, loss: 0.2212 2023-01-30 09:09:02,725 - mmseg - INFO - Iter [134850/160000] lr: 9.432e-06, eta: 2:53:22, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1577, decode.acc_seg: 73.5078, aux.loss_ce: 0.0724, aux.acc_seg: 72.8572, loss: 0.2301 2023-01-30 09:09:22,648 - mmseg - INFO - Iter [134900/160000] lr: 9.413e-06, eta: 2:53:01, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1494, decode.acc_seg: 75.1066, aux.loss_ce: 0.0683, aux.acc_seg: 74.4699, loss: 0.2177 2023-01-30 09:09:42,455 - mmseg - INFO - Iter [134950/160000] lr: 9.394e-06, eta: 2:52:41, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1453, decode.acc_seg: 75.6442, aux.loss_ce: 0.0680, aux.acc_seg: 74.8333, loss: 0.2133 2023-01-30 09:10:02,356 - mmseg - INFO - Saving checkpoint at 135000 iterations 2023-01-30 09:10:13,794 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 09:10:13,799 - mmseg - INFO - Iter [135000/160000] lr: 9.375e-06, eta: 2:52:22, time: 0.626, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1506, decode.acc_seg: 74.9153, aux.loss_ce: 0.0702, aux.acc_seg: 74.1716, loss: 0.2208 2023-01-30 09:10:33,850 - mmseg - INFO - Iter [135050/160000] lr: 9.357e-06, eta: 2:52:01, time: 0.402, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1615, decode.acc_seg: 76.3195, aux.loss_ce: 0.0734, aux.acc_seg: 75.7344, loss: 0.2349 2023-01-30 09:10:53,742 - mmseg - INFO - Iter [135100/160000] lr: 9.338e-06, eta: 2:51:40, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1481, decode.acc_seg: 76.4226, aux.loss_ce: 0.0681, aux.acc_seg: 75.8553, loss: 0.2162 2023-01-30 09:11:16,234 - mmseg - INFO - Iter [135150/160000] lr: 9.319e-06, eta: 2:51:20, time: 0.450, data_time: 0.051, memory: 12319, decode.loss_ce: 0.1498, decode.acc_seg: 75.5061, aux.loss_ce: 0.0698, aux.acc_seg: 74.7768, loss: 0.2196 2023-01-30 09:11:35,907 - mmseg - INFO - Iter [135200/160000] lr: 9.300e-06, eta: 2:50:59, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1519, decode.acc_seg: 74.6220, aux.loss_ce: 0.0700, aux.acc_seg: 73.9674, loss: 0.2219 2023-01-30 09:11:55,487 - mmseg - INFO - Iter [135250/160000] lr: 9.282e-06, eta: 2:50:38, time: 0.394, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1507, decode.acc_seg: 75.1067, aux.loss_ce: 0.0704, aux.acc_seg: 74.3794, loss: 0.2211 2023-01-30 09:12:15,504 - mmseg - INFO - Iter [135300/160000] lr: 9.263e-06, eta: 2:50:17, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1512, decode.acc_seg: 76.5033, aux.loss_ce: 0.0705, aux.acc_seg: 75.7484, loss: 0.2216 2023-01-30 09:12:35,584 - mmseg - INFO - Iter [135350/160000] lr: 9.244e-06, eta: 2:49:56, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1465, decode.acc_seg: 74.7682, aux.loss_ce: 0.0675, aux.acc_seg: 74.1528, loss: 0.2141 2023-01-30 09:12:55,457 - mmseg - INFO - Iter [135400/160000] lr: 9.225e-06, eta: 2:49:36, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1508, decode.acc_seg: 74.6987, aux.loss_ce: 0.0690, aux.acc_seg: 74.0905, loss: 0.2198 2023-01-30 09:13:15,241 - mmseg - INFO - Iter [135450/160000] lr: 9.207e-06, eta: 2:49:15, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1510, decode.acc_seg: 75.8396, aux.loss_ce: 0.0701, aux.acc_seg: 75.1682, loss: 0.2211 2023-01-30 09:13:34,928 - mmseg - INFO - Iter [135500/160000] lr: 9.188e-06, eta: 2:48:54, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1534, decode.acc_seg: 76.8087, aux.loss_ce: 0.0713, aux.acc_seg: 76.0723, loss: 0.2248 2023-01-30 09:13:54,667 - mmseg - INFO - Iter [135550/160000] lr: 9.169e-06, eta: 2:48:33, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1542, decode.acc_seg: 75.6105, aux.loss_ce: 0.0709, aux.acc_seg: 74.9350, loss: 0.2251 2023-01-30 09:14:14,120 - mmseg - INFO - Iter [135600/160000] lr: 9.150e-06, eta: 2:48:12, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1487, decode.acc_seg: 74.4719, aux.loss_ce: 0.0691, aux.acc_seg: 73.7425, loss: 0.2178 2023-01-30 09:14:33,977 - mmseg - INFO - Iter [135650/160000] lr: 9.132e-06, eta: 2:47:51, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1515, decode.acc_seg: 76.0466, aux.loss_ce: 0.0699, aux.acc_seg: 75.3109, loss: 0.2214 2023-01-30 09:14:53,817 - mmseg - INFO - Iter [135700/160000] lr: 9.113e-06, eta: 2:47:31, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1571, decode.acc_seg: 75.5833, aux.loss_ce: 0.0723, aux.acc_seg: 74.8720, loss: 0.2294 2023-01-30 09:15:13,351 - mmseg - INFO - Iter [135750/160000] lr: 9.094e-06, eta: 2:47:10, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1508, decode.acc_seg: 77.0192, aux.loss_ce: 0.0698, aux.acc_seg: 76.2678, loss: 0.2206 2023-01-30 09:15:33,142 - mmseg - INFO - Iter [135800/160000] lr: 9.075e-06, eta: 2:46:49, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1623, decode.acc_seg: 75.6150, aux.loss_ce: 0.0746, aux.acc_seg: 74.9393, loss: 0.2369 2023-01-30 09:15:52,693 - mmseg - INFO - Iter [135850/160000] lr: 9.057e-06, eta: 2:46:28, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1595, decode.acc_seg: 76.4039, aux.loss_ce: 0.0742, aux.acc_seg: 75.6715, loss: 0.2337 2023-01-30 09:16:12,465 - mmseg - INFO - Iter [135900/160000] lr: 9.038e-06, eta: 2:46:07, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1561, decode.acc_seg: 75.6934, aux.loss_ce: 0.0740, aux.acc_seg: 74.8154, loss: 0.2300 2023-01-30 09:16:32,211 - mmseg - INFO - Iter [135950/160000] lr: 9.019e-06, eta: 2:45:46, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1530, decode.acc_seg: 74.3072, aux.loss_ce: 0.0707, aux.acc_seg: 73.6246, loss: 0.2237 2023-01-30 09:16:51,914 - mmseg - INFO - Saving checkpoint at 136000 iterations 2023-01-30 09:17:02,044 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 09:17:02,044 - mmseg - INFO - Iter [136000/160000] lr: 9.000e-06, eta: 2:45:27, time: 0.597, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1591, decode.acc_seg: 75.6983, aux.loss_ce: 0.0737, aux.acc_seg: 74.9642, loss: 0.2327 2023-01-30 09:17:22,102 - mmseg - INFO - Iter [136050/160000] lr: 8.982e-06, eta: 2:45:06, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1490, decode.acc_seg: 74.3871, aux.loss_ce: 0.0685, aux.acc_seg: 73.6895, loss: 0.2175 2023-01-30 09:17:42,212 - mmseg - INFO - Iter [136100/160000] lr: 8.963e-06, eta: 2:44:46, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1566, decode.acc_seg: 75.5736, aux.loss_ce: 0.0731, aux.acc_seg: 74.8243, loss: 0.2298 2023-01-30 09:18:01,919 - mmseg - INFO - Iter [136150/160000] lr: 8.944e-06, eta: 2:44:25, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1500, decode.acc_seg: 74.6099, aux.loss_ce: 0.0702, aux.acc_seg: 73.8501, loss: 0.2201 2023-01-30 09:18:21,734 - mmseg - INFO - Iter [136200/160000] lr: 8.925e-06, eta: 2:44:04, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1466, decode.acc_seg: 75.7164, aux.loss_ce: 0.0680, aux.acc_seg: 75.1013, loss: 0.2146 2023-01-30 09:18:41,355 - mmseg - INFO - Iter [136250/160000] lr: 8.907e-06, eta: 2:43:43, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1520, decode.acc_seg: 76.4563, aux.loss_ce: 0.0699, aux.acc_seg: 75.7514, loss: 0.2219 2023-01-30 09:19:01,174 - mmseg - INFO - Iter [136300/160000] lr: 8.888e-06, eta: 2:43:22, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1511, decode.acc_seg: 74.8149, aux.loss_ce: 0.0707, aux.acc_seg: 74.0367, loss: 0.2218 2023-01-30 09:19:21,053 - mmseg - INFO - Iter [136350/160000] lr: 8.869e-06, eta: 2:43:01, time: 0.398, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1496, decode.acc_seg: 74.5882, aux.loss_ce: 0.0703, aux.acc_seg: 73.7841, loss: 0.2199 2023-01-30 09:19:40,808 - mmseg - INFO - Iter [136400/160000] lr: 8.850e-06, eta: 2:42:41, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1618, decode.acc_seg: 75.2357, aux.loss_ce: 0.0747, aux.acc_seg: 74.5576, loss: 0.2365 2023-01-30 09:20:02,968 - mmseg - INFO - Iter [136450/160000] lr: 8.832e-06, eta: 2:42:20, time: 0.443, data_time: 0.050, memory: 12319, decode.loss_ce: 0.1508, decode.acc_seg: 76.7831, aux.loss_ce: 0.0693, aux.acc_seg: 76.0848, loss: 0.2201 2023-01-30 09:20:22,735 - mmseg - INFO - Iter [136500/160000] lr: 8.813e-06, eta: 2:41:59, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1512, decode.acc_seg: 75.9030, aux.loss_ce: 0.0703, aux.acc_seg: 75.2179, loss: 0.2215 2023-01-30 09:20:42,495 - mmseg - INFO - Iter [136550/160000] lr: 8.794e-06, eta: 2:41:38, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1472, decode.acc_seg: 75.6785, aux.loss_ce: 0.0691, aux.acc_seg: 74.9626, loss: 0.2163 2023-01-30 09:21:02,078 - mmseg - INFO - Iter [136600/160000] lr: 8.775e-06, eta: 2:41:18, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1534, decode.acc_seg: 75.3532, aux.loss_ce: 0.0709, aux.acc_seg: 74.6502, loss: 0.2243 2023-01-30 09:21:21,905 - mmseg - INFO - Iter [136650/160000] lr: 8.757e-06, eta: 2:40:57, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1452, decode.acc_seg: 75.5169, aux.loss_ce: 0.0682, aux.acc_seg: 74.7803, loss: 0.2134 2023-01-30 09:21:41,568 - mmseg - INFO - Iter [136700/160000] lr: 8.738e-06, eta: 2:40:36, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1510, decode.acc_seg: 76.1774, aux.loss_ce: 0.0690, aux.acc_seg: 75.5620, loss: 0.2200 2023-01-30 09:22:01,245 - mmseg - INFO - Iter [136750/160000] lr: 8.719e-06, eta: 2:40:15, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1482, decode.acc_seg: 74.6042, aux.loss_ce: 0.0687, aux.acc_seg: 73.9373, loss: 0.2169 2023-01-30 09:22:20,864 - mmseg - INFO - Iter [136800/160000] lr: 8.700e-06, eta: 2:39:54, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1402, decode.acc_seg: 75.5390, aux.loss_ce: 0.0650, aux.acc_seg: 74.8777, loss: 0.2051 2023-01-30 09:22:40,425 - mmseg - INFO - Iter [136850/160000] lr: 8.682e-06, eta: 2:39:33, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1545, decode.acc_seg: 74.3544, aux.loss_ce: 0.0715, aux.acc_seg: 73.6384, loss: 0.2260 2023-01-30 09:23:00,068 - mmseg - INFO - Iter [136900/160000] lr: 8.663e-06, eta: 2:39:12, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1496, decode.acc_seg: 74.9807, aux.loss_ce: 0.0700, aux.acc_seg: 74.2341, loss: 0.2196 2023-01-30 09:23:19,734 - mmseg - INFO - Iter [136950/160000] lr: 8.644e-06, eta: 2:38:52, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1472, decode.acc_seg: 74.9086, aux.loss_ce: 0.0679, aux.acc_seg: 74.3262, loss: 0.2151 2023-01-30 09:23:39,354 - mmseg - INFO - Saving checkpoint at 137000 iterations 2023-01-30 09:23:49,269 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 09:23:49,269 - mmseg - INFO - Iter [137000/160000] lr: 8.625e-06, eta: 2:38:32, time: 0.591, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1445, decode.acc_seg: 75.3368, aux.loss_ce: 0.0673, aux.acc_seg: 74.6847, loss: 0.2118 2023-01-30 09:24:09,175 - mmseg - INFO - Iter [137050/160000] lr: 8.607e-06, eta: 2:38:12, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1479, decode.acc_seg: 74.3984, aux.loss_ce: 0.0684, aux.acc_seg: 73.8063, loss: 0.2163 2023-01-30 09:24:28,932 - mmseg - INFO - Iter [137100/160000] lr: 8.588e-06, eta: 2:37:51, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1463, decode.acc_seg: 75.2115, aux.loss_ce: 0.0679, aux.acc_seg: 74.5300, loss: 0.2142 2023-01-30 09:24:48,826 - mmseg - INFO - Iter [137150/160000] lr: 8.569e-06, eta: 2:37:30, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1472, decode.acc_seg: 75.1510, aux.loss_ce: 0.0683, aux.acc_seg: 74.5025, loss: 0.2155 2023-01-30 09:25:08,691 - mmseg - INFO - Iter [137200/160000] lr: 8.550e-06, eta: 2:37:09, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1545, decode.acc_seg: 76.1319, aux.loss_ce: 0.0713, aux.acc_seg: 75.4154, loss: 0.2258 2023-01-30 09:25:28,396 - mmseg - INFO - Iter [137250/160000] lr: 8.532e-06, eta: 2:36:48, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1505, decode.acc_seg: 76.5012, aux.loss_ce: 0.0706, aux.acc_seg: 75.7418, loss: 0.2211 2023-01-30 09:25:47,900 - mmseg - INFO - Iter [137300/160000] lr: 8.513e-06, eta: 2:36:27, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1523, decode.acc_seg: 76.0869, aux.loss_ce: 0.0710, aux.acc_seg: 75.3939, loss: 0.2233 2023-01-30 09:26:07,618 - mmseg - INFO - Iter [137350/160000] lr: 8.494e-06, eta: 2:36:07, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1507, decode.acc_seg: 75.1868, aux.loss_ce: 0.0699, aux.acc_seg: 74.4852, loss: 0.2207 2023-01-30 09:26:27,310 - mmseg - INFO - Iter [137400/160000] lr: 8.475e-06, eta: 2:35:46, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1601, decode.acc_seg: 75.2404, aux.loss_ce: 0.0739, aux.acc_seg: 74.5455, loss: 0.2340 2023-01-30 09:26:47,049 - mmseg - INFO - Iter [137450/160000] lr: 8.457e-06, eta: 2:35:25, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1489, decode.acc_seg: 75.9471, aux.loss_ce: 0.0687, aux.acc_seg: 75.2491, loss: 0.2176 2023-01-30 09:27:06,752 - mmseg - INFO - Iter [137500/160000] lr: 8.438e-06, eta: 2:35:04, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1501, decode.acc_seg: 75.8379, aux.loss_ce: 0.0698, aux.acc_seg: 75.1321, loss: 0.2198 2023-01-30 09:27:26,309 - mmseg - INFO - Iter [137550/160000] lr: 8.419e-06, eta: 2:34:43, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1566, decode.acc_seg: 76.9763, aux.loss_ce: 0.0717, aux.acc_seg: 76.2797, loss: 0.2283 2023-01-30 09:27:46,094 - mmseg - INFO - Iter [137600/160000] lr: 8.400e-06, eta: 2:34:22, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1484, decode.acc_seg: 75.6969, aux.loss_ce: 0.0691, aux.acc_seg: 75.0088, loss: 0.2175 2023-01-30 09:28:05,761 - mmseg - INFO - Iter [137650/160000] lr: 8.382e-06, eta: 2:34:02, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1482, decode.acc_seg: 76.3085, aux.loss_ce: 0.0693, aux.acc_seg: 75.6044, loss: 0.2175 2023-01-30 09:28:28,226 - mmseg - INFO - Iter [137700/160000] lr: 8.363e-06, eta: 2:33:41, time: 0.450, data_time: 0.052, memory: 12319, decode.loss_ce: 0.1550, decode.acc_seg: 75.6298, aux.loss_ce: 0.0713, aux.acc_seg: 75.0280, loss: 0.2263 2023-01-30 09:28:48,000 - mmseg - INFO - Iter [137750/160000] lr: 8.344e-06, eta: 2:33:20, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1472, decode.acc_seg: 75.4849, aux.loss_ce: 0.0684, aux.acc_seg: 74.7295, loss: 0.2156 2023-01-30 09:29:07,778 - mmseg - INFO - Iter [137800/160000] lr: 8.325e-06, eta: 2:33:00, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1516, decode.acc_seg: 74.4342, aux.loss_ce: 0.0706, aux.acc_seg: 73.6897, loss: 0.2222 2023-01-30 09:29:27,447 - mmseg - INFO - Iter [137850/160000] lr: 8.307e-06, eta: 2:32:39, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1546, decode.acc_seg: 75.2519, aux.loss_ce: 0.0719, aux.acc_seg: 74.6146, loss: 0.2265 2023-01-30 09:29:47,068 - mmseg - INFO - Iter [137900/160000] lr: 8.288e-06, eta: 2:32:18, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1477, decode.acc_seg: 76.6273, aux.loss_ce: 0.0690, aux.acc_seg: 75.8977, loss: 0.2167 2023-01-30 09:30:06,774 - mmseg - INFO - Iter [137950/160000] lr: 8.269e-06, eta: 2:31:57, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1398, decode.acc_seg: 76.0295, aux.loss_ce: 0.0644, aux.acc_seg: 75.3788, loss: 0.2042 2023-01-30 09:30:26,407 - mmseg - INFO - Saving checkpoint at 138000 iterations 2023-01-30 09:30:37,430 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 09:30:37,430 - mmseg - INFO - Iter [138000/160000] lr: 8.250e-06, eta: 2:31:38, time: 0.613, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1551, decode.acc_seg: 75.2882, aux.loss_ce: 0.0712, aux.acc_seg: 74.6510, loss: 0.2263 2023-01-30 09:30:57,310 - mmseg - INFO - Iter [138050/160000] lr: 8.232e-06, eta: 2:31:17, time: 0.398, data_time: 0.008, memory: 12319, decode.loss_ce: 0.1498, decode.acc_seg: 75.8474, aux.loss_ce: 0.0686, aux.acc_seg: 75.1558, loss: 0.2185 2023-01-30 09:31:16,926 - mmseg - INFO - Iter [138100/160000] lr: 8.213e-06, eta: 2:30:56, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1434, decode.acc_seg: 75.0529, aux.loss_ce: 0.0670, aux.acc_seg: 74.3221, loss: 0.2104 2023-01-30 09:31:36,894 - mmseg - INFO - Iter [138150/160000] lr: 8.194e-06, eta: 2:30:36, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1475, decode.acc_seg: 75.7513, aux.loss_ce: 0.0684, aux.acc_seg: 75.0682, loss: 0.2159 2023-01-30 09:31:56,636 - mmseg - INFO - Iter [138200/160000] lr: 8.175e-06, eta: 2:30:15, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1552, decode.acc_seg: 76.2532, aux.loss_ce: 0.0727, aux.acc_seg: 75.4755, loss: 0.2278 2023-01-30 09:32:16,685 - mmseg - INFO - Iter [138250/160000] lr: 8.157e-06, eta: 2:29:54, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1487, decode.acc_seg: 75.3982, aux.loss_ce: 0.0696, aux.acc_seg: 74.6916, loss: 0.2183 2023-01-30 09:32:36,256 - mmseg - INFO - Iter [138300/160000] lr: 8.138e-06, eta: 2:29:33, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1491, decode.acc_seg: 75.5190, aux.loss_ce: 0.0692, aux.acc_seg: 74.8022, loss: 0.2183 2023-01-30 09:32:56,137 - mmseg - INFO - Iter [138350/160000] lr: 8.119e-06, eta: 2:29:12, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1578, decode.acc_seg: 75.9481, aux.loss_ce: 0.0723, aux.acc_seg: 75.2876, loss: 0.2302 2023-01-30 09:33:15,633 - mmseg - INFO - Iter [138400/160000] lr: 8.100e-06, eta: 2:28:51, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1473, decode.acc_seg: 76.7843, aux.loss_ce: 0.0681, aux.acc_seg: 76.1335, loss: 0.2155 2023-01-30 09:33:35,184 - mmseg - INFO - Iter [138450/160000] lr: 8.082e-06, eta: 2:28:31, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1481, decode.acc_seg: 75.5973, aux.loss_ce: 0.0691, aux.acc_seg: 74.8293, loss: 0.2172 2023-01-30 09:33:54,831 - mmseg - INFO - Iter [138500/160000] lr: 8.063e-06, eta: 2:28:10, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1523, decode.acc_seg: 76.5992, aux.loss_ce: 0.0706, aux.acc_seg: 75.9296, loss: 0.2229 2023-01-30 09:34:14,590 - mmseg - INFO - Iter [138550/160000] lr: 8.044e-06, eta: 2:27:49, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1469, decode.acc_seg: 76.9513, aux.loss_ce: 0.0680, aux.acc_seg: 76.3080, loss: 0.2149 2023-01-30 09:34:34,242 - mmseg - INFO - Iter [138600/160000] lr: 8.025e-06, eta: 2:27:28, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1431, decode.acc_seg: 74.9655, aux.loss_ce: 0.0665, aux.acc_seg: 74.3183, loss: 0.2096 2023-01-30 09:34:53,865 - mmseg - INFO - Iter [138650/160000] lr: 8.007e-06, eta: 2:27:07, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1528, decode.acc_seg: 75.9118, aux.loss_ce: 0.0704, aux.acc_seg: 75.2143, loss: 0.2232 2023-01-30 09:35:13,627 - mmseg - INFO - Iter [138700/160000] lr: 7.988e-06, eta: 2:26:46, time: 0.393, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1400, decode.acc_seg: 74.8587, aux.loss_ce: 0.0650, aux.acc_seg: 74.1904, loss: 0.2050 2023-01-30 09:35:33,658 - mmseg - INFO - Iter [138750/160000] lr: 7.969e-06, eta: 2:26:26, time: 0.400, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1545, decode.acc_seg: 73.1139, aux.loss_ce: 0.0726, aux.acc_seg: 72.3401, loss: 0.2271 2023-01-30 09:35:53,496 - mmseg - INFO - Iter [138800/160000] lr: 7.950e-06, eta: 2:26:05, time: 0.399, data_time: 0.007, memory: 12319, decode.loss_ce: 0.1572, decode.acc_seg: 77.0313, aux.loss_ce: 0.0729, aux.acc_seg: 76.2736, loss: 0.2301 2023-01-30 09:36:13,085 - mmseg - INFO - Iter [138850/160000] lr: 7.932e-06, eta: 2:25:44, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1525, decode.acc_seg: 75.3940, aux.loss_ce: 0.0715, aux.acc_seg: 74.6673, loss: 0.2240 2023-01-30 09:36:32,949 - mmseg - INFO - Iter [138900/160000] lr: 7.913e-06, eta: 2:25:23, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1576, decode.acc_seg: 75.1154, aux.loss_ce: 0.0736, aux.acc_seg: 74.3791, loss: 0.2312 2023-01-30 09:36:55,845 - mmseg - INFO - Iter [138950/160000] lr: 7.894e-06, eta: 2:25:03, time: 0.458, data_time: 0.055, memory: 12319, decode.loss_ce: 0.1476, decode.acc_seg: 75.5794, aux.loss_ce: 0.0686, aux.acc_seg: 74.9140, loss: 0.2162 2023-01-30 09:37:15,699 - mmseg - INFO - Saving checkpoint at 139000 iterations 2023-01-30 09:37:25,909 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 09:37:25,910 - mmseg - INFO - Iter [139000/160000] lr: 7.875e-06, eta: 2:24:44, time: 0.601, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1539, decode.acc_seg: 75.9879, aux.loss_ce: 0.0724, aux.acc_seg: 75.2944, loss: 0.2263 2023-01-30 09:37:46,143 - mmseg - INFO - Iter [139050/160000] lr: 7.857e-06, eta: 2:24:23, time: 0.405, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1476, decode.acc_seg: 75.0746, aux.loss_ce: 0.0679, aux.acc_seg: 74.4106, loss: 0.2156 2023-01-30 09:38:05,919 - mmseg - INFO - Iter [139100/160000] lr: 7.838e-06, eta: 2:24:02, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1580, decode.acc_seg: 76.4538, aux.loss_ce: 0.0732, aux.acc_seg: 75.7030, loss: 0.2311 2023-01-30 09:38:25,735 - mmseg - INFO - Iter [139150/160000] lr: 7.819e-06, eta: 2:23:41, time: 0.396, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1523, decode.acc_seg: 75.2583, aux.loss_ce: 0.0712, aux.acc_seg: 74.5581, loss: 0.2235 2023-01-30 09:38:45,465 - mmseg - INFO - Iter [139200/160000] lr: 7.800e-06, eta: 2:23:20, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1534, decode.acc_seg: 77.0466, aux.loss_ce: 0.0704, aux.acc_seg: 76.3575, loss: 0.2237 2023-01-30 09:39:05,409 - mmseg - INFO - Iter [139250/160000] lr: 7.782e-06, eta: 2:23:00, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1457, decode.acc_seg: 75.6562, aux.loss_ce: 0.0676, aux.acc_seg: 75.0407, loss: 0.2132 2023-01-30 09:39:25,210 - mmseg - INFO - Iter [139300/160000] lr: 7.763e-06, eta: 2:22:39, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1460, decode.acc_seg: 76.2048, aux.loss_ce: 0.0681, aux.acc_seg: 75.5603, loss: 0.2141 2023-01-30 09:39:44,724 - mmseg - INFO - Iter [139350/160000] lr: 7.744e-06, eta: 2:22:18, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1521, decode.acc_seg: 75.8845, aux.loss_ce: 0.0702, aux.acc_seg: 75.2523, loss: 0.2222 2023-01-30 09:40:04,569 - mmseg - INFO - Iter [139400/160000] lr: 7.725e-06, eta: 2:21:57, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1433, decode.acc_seg: 75.0060, aux.loss_ce: 0.0673, aux.acc_seg: 74.2401, loss: 0.2106 2023-01-30 09:40:24,616 - mmseg - INFO - Iter [139450/160000] lr: 7.707e-06, eta: 2:21:36, time: 0.401, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1502, decode.acc_seg: 76.2789, aux.loss_ce: 0.0705, aux.acc_seg: 75.5398, loss: 0.2207 2023-01-30 09:40:44,366 - mmseg - INFO - Iter [139500/160000] lr: 7.688e-06, eta: 2:21:16, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1420, decode.acc_seg: 76.3943, aux.loss_ce: 0.0657, aux.acc_seg: 75.7153, loss: 0.2077 2023-01-30 09:41:04,197 - mmseg - INFO - Iter [139550/160000] lr: 7.669e-06, eta: 2:20:55, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1495, decode.acc_seg: 76.2969, aux.loss_ce: 0.0697, aux.acc_seg: 75.6127, loss: 0.2192 2023-01-30 09:41:24,139 - mmseg - INFO - Iter [139600/160000] lr: 7.650e-06, eta: 2:20:34, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1553, decode.acc_seg: 75.1880, aux.loss_ce: 0.0710, aux.acc_seg: 74.4593, loss: 0.2263 2023-01-30 09:41:43,906 - mmseg - INFO - Iter [139650/160000] lr: 7.632e-06, eta: 2:20:13, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1515, decode.acc_seg: 75.6657, aux.loss_ce: 0.0701, aux.acc_seg: 74.9422, loss: 0.2215 2023-01-30 09:42:03,770 - mmseg - INFO - Iter [139700/160000] lr: 7.613e-06, eta: 2:19:52, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1553, decode.acc_seg: 76.2103, aux.loss_ce: 0.0726, aux.acc_seg: 75.5025, loss: 0.2279 2023-01-30 09:42:23,736 - mmseg - INFO - Iter [139750/160000] lr: 7.594e-06, eta: 2:19:32, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1559, decode.acc_seg: 75.9633, aux.loss_ce: 0.0719, aux.acc_seg: 75.2808, loss: 0.2278 2023-01-30 09:42:43,433 - mmseg - INFO - Iter [139800/160000] lr: 7.575e-06, eta: 2:19:11, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1473, decode.acc_seg: 75.9258, aux.loss_ce: 0.0677, aux.acc_seg: 75.3122, loss: 0.2149 2023-01-30 09:43:03,393 - mmseg - INFO - Iter [139850/160000] lr: 7.557e-06, eta: 2:18:50, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1480, decode.acc_seg: 75.3469, aux.loss_ce: 0.0684, aux.acc_seg: 74.6033, loss: 0.2164 2023-01-30 09:43:23,111 - mmseg - INFO - Iter [139900/160000] lr: 7.538e-06, eta: 2:18:29, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1586, decode.acc_seg: 74.4850, aux.loss_ce: 0.0736, aux.acc_seg: 73.7607, loss: 0.2322 2023-01-30 09:43:42,746 - mmseg - INFO - Iter [139950/160000] lr: 7.519e-06, eta: 2:18:08, time: 0.393, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1541, decode.acc_seg: 75.6650, aux.loss_ce: 0.0709, aux.acc_seg: 75.0176, loss: 0.2249 2023-01-30 09:44:02,336 - mmseg - INFO - Saving checkpoint at 140000 iterations 2023-01-30 09:44:12,886 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 09:44:12,892 - mmseg - INFO - Iter [140000/160000] lr: 7.500e-06, eta: 2:17:49, time: 0.604, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1410, decode.acc_seg: 75.5797, aux.loss_ce: 0.0658, aux.acc_seg: 74.8694, loss: 0.2067 2023-01-30 09:44:33,092 - mmseg - INFO - Iter [140050/160000] lr: 7.482e-06, eta: 2:17:28, time: 0.405, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1511, decode.acc_seg: 75.1293, aux.loss_ce: 0.0710, aux.acc_seg: 74.3450, loss: 0.2220 2023-01-30 09:44:52,795 - mmseg - INFO - Iter [140100/160000] lr: 7.463e-06, eta: 2:17:08, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1511, decode.acc_seg: 74.9354, aux.loss_ce: 0.0702, aux.acc_seg: 74.2570, loss: 0.2213 2023-01-30 09:45:12,544 - mmseg - INFO - Iter [140150/160000] lr: 7.444e-06, eta: 2:16:47, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1424, decode.acc_seg: 75.6100, aux.loss_ce: 0.0663, aux.acc_seg: 74.9293, loss: 0.2086 2023-01-30 09:45:34,775 - mmseg - INFO - Iter [140200/160000] lr: 7.425e-06, eta: 2:16:26, time: 0.444, data_time: 0.052, memory: 12319, decode.loss_ce: 0.1533, decode.acc_seg: 76.9130, aux.loss_ce: 0.0707, aux.acc_seg: 76.2923, loss: 0.2241 2023-01-30 09:45:54,602 - mmseg - INFO - Iter [140250/160000] lr: 7.407e-06, eta: 2:16:06, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1514, decode.acc_seg: 76.5497, aux.loss_ce: 0.0708, aux.acc_seg: 75.8170, loss: 0.2221 2023-01-30 09:46:14,173 - mmseg - INFO - Iter [140300/160000] lr: 7.388e-06, eta: 2:15:45, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1510, decode.acc_seg: 76.9878, aux.loss_ce: 0.0697, aux.acc_seg: 76.3390, loss: 0.2207 2023-01-30 09:46:33,931 - mmseg - INFO - Iter [140350/160000] lr: 7.369e-06, eta: 2:15:24, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1515, decode.acc_seg: 76.1679, aux.loss_ce: 0.0713, aux.acc_seg: 75.4159, loss: 0.2228 2023-01-30 09:46:53,791 - mmseg - INFO - Iter [140400/160000] lr: 7.350e-06, eta: 2:15:03, time: 0.398, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1519, decode.acc_seg: 74.8663, aux.loss_ce: 0.0709, aux.acc_seg: 74.1139, loss: 0.2228 2023-01-30 09:47:13,618 - mmseg - INFO - Iter [140450/160000] lr: 7.332e-06, eta: 2:14:42, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1428, decode.acc_seg: 75.1728, aux.loss_ce: 0.0662, aux.acc_seg: 74.5775, loss: 0.2090 2023-01-30 09:47:33,417 - mmseg - INFO - Iter [140500/160000] lr: 7.313e-06, eta: 2:14:22, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1644, decode.acc_seg: 75.7039, aux.loss_ce: 0.0747, aux.acc_seg: 75.0089, loss: 0.2390 2023-01-30 09:47:53,167 - mmseg - INFO - Iter [140550/160000] lr: 7.294e-06, eta: 2:14:01, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1478, decode.acc_seg: 75.7707, aux.loss_ce: 0.0694, aux.acc_seg: 75.0558, loss: 0.2172 2023-01-30 09:48:12,893 - mmseg - INFO - Iter [140600/160000] lr: 7.275e-06, eta: 2:13:40, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1554, decode.acc_seg: 74.2684, aux.loss_ce: 0.0724, aux.acc_seg: 73.5803, loss: 0.2279 2023-01-30 09:48:32,554 - mmseg - INFO - Iter [140650/160000] lr: 7.257e-06, eta: 2:13:19, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1476, decode.acc_seg: 75.6402, aux.loss_ce: 0.0685, aux.acc_seg: 74.9800, loss: 0.2161 2023-01-30 09:48:52,527 - mmseg - INFO - Iter [140700/160000] lr: 7.238e-06, eta: 2:12:58, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1535, decode.acc_seg: 75.5321, aux.loss_ce: 0.0706, aux.acc_seg: 74.8793, loss: 0.2241 2023-01-30 09:49:12,169 - mmseg - INFO - Iter [140750/160000] lr: 7.219e-06, eta: 2:12:38, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1481, decode.acc_seg: 76.1693, aux.loss_ce: 0.0693, aux.acc_seg: 75.4670, loss: 0.2174 2023-01-30 09:49:32,088 - mmseg - INFO - Iter [140800/160000] lr: 7.200e-06, eta: 2:12:17, time: 0.399, data_time: 0.007, memory: 12319, decode.loss_ce: 0.1576, decode.acc_seg: 76.5924, aux.loss_ce: 0.0737, aux.acc_seg: 75.8153, loss: 0.2314 2023-01-30 09:49:51,948 - mmseg - INFO - Iter [140850/160000] lr: 7.182e-06, eta: 2:11:56, time: 0.399, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1552, decode.acc_seg: 76.4252, aux.loss_ce: 0.0728, aux.acc_seg: 75.6903, loss: 0.2281 2023-01-30 09:50:11,484 - mmseg - INFO - Iter [140900/160000] lr: 7.163e-06, eta: 2:11:35, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1453, decode.acc_seg: 77.0989, aux.loss_ce: 0.0671, aux.acc_seg: 76.5185, loss: 0.2124 2023-01-30 09:50:31,103 - mmseg - INFO - Iter [140950/160000] lr: 7.144e-06, eta: 2:11:14, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1553, decode.acc_seg: 76.1300, aux.loss_ce: 0.0724, aux.acc_seg: 75.4056, loss: 0.2277 2023-01-30 09:50:50,854 - mmseg - INFO - Saving checkpoint at 141000 iterations 2023-01-30 09:51:01,864 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 09:51:01,864 - mmseg - INFO - Iter [141000/160000] lr: 7.125e-06, eta: 2:10:55, time: 0.616, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1551, decode.acc_seg: 75.0309, aux.loss_ce: 0.0722, aux.acc_seg: 74.3477, loss: 0.2273 2023-01-30 09:51:21,541 - mmseg - INFO - Iter [141050/160000] lr: 7.107e-06, eta: 2:10:34, time: 0.394, data_time: 0.007, memory: 12319, decode.loss_ce: 0.1393, decode.acc_seg: 75.1525, aux.loss_ce: 0.0657, aux.acc_seg: 74.4580, loss: 0.2050 2023-01-30 09:51:41,134 - mmseg - INFO - Iter [141100/160000] lr: 7.088e-06, eta: 2:10:13, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1508, decode.acc_seg: 75.7650, aux.loss_ce: 0.0684, aux.acc_seg: 75.2861, loss: 0.2193 2023-01-30 09:52:00,776 - mmseg - INFO - Iter [141150/160000] lr: 7.069e-06, eta: 2:09:53, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1459, decode.acc_seg: 75.5908, aux.loss_ce: 0.0680, aux.acc_seg: 74.8855, loss: 0.2139 2023-01-30 09:52:20,345 - mmseg - INFO - Iter [141200/160000] lr: 7.050e-06, eta: 2:09:32, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1508, decode.acc_seg: 73.6817, aux.loss_ce: 0.0704, aux.acc_seg: 72.9293, loss: 0.2211 2023-01-30 09:52:39,985 - mmseg - INFO - Iter [141250/160000] lr: 7.032e-06, eta: 2:09:11, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1458, decode.acc_seg: 75.2469, aux.loss_ce: 0.0675, aux.acc_seg: 74.5776, loss: 0.2133 2023-01-30 09:52:59,936 - mmseg - INFO - Iter [141300/160000] lr: 7.013e-06, eta: 2:08:50, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1476, decode.acc_seg: 74.3092, aux.loss_ce: 0.0695, aux.acc_seg: 73.5581, loss: 0.2170 2023-01-30 09:53:20,085 - mmseg - INFO - Iter [141350/160000] lr: 6.994e-06, eta: 2:08:30, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1490, decode.acc_seg: 75.6150, aux.loss_ce: 0.0686, aux.acc_seg: 74.9543, loss: 0.2176 2023-01-30 09:53:39,931 - mmseg - INFO - Iter [141400/160000] lr: 6.975e-06, eta: 2:08:09, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1504, decode.acc_seg: 76.6902, aux.loss_ce: 0.0696, aux.acc_seg: 75.9558, loss: 0.2200 2023-01-30 09:53:59,767 - mmseg - INFO - Iter [141450/160000] lr: 6.957e-06, eta: 2:07:48, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1513, decode.acc_seg: 76.2073, aux.loss_ce: 0.0700, aux.acc_seg: 75.5403, loss: 0.2213 2023-01-30 09:54:22,013 - mmseg - INFO - Iter [141500/160000] lr: 6.938e-06, eta: 2:07:27, time: 0.445, data_time: 0.051, memory: 12319, decode.loss_ce: 0.1437, decode.acc_seg: 74.6936, aux.loss_ce: 0.0670, aux.acc_seg: 74.0694, loss: 0.2107 2023-01-30 09:54:41,810 - mmseg - INFO - Iter [141550/160000] lr: 6.919e-06, eta: 2:07:07, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1377, decode.acc_seg: 75.3124, aux.loss_ce: 0.0645, aux.acc_seg: 74.6371, loss: 0.2022 2023-01-30 09:55:01,881 - mmseg - INFO - Iter [141600/160000] lr: 6.900e-06, eta: 2:06:46, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1547, decode.acc_seg: 74.6217, aux.loss_ce: 0.0710, aux.acc_seg: 74.0075, loss: 0.2257 2023-01-30 09:55:21,959 - mmseg - INFO - Iter [141650/160000] lr: 6.882e-06, eta: 2:06:25, time: 0.402, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1581, decode.acc_seg: 74.0158, aux.loss_ce: 0.0736, aux.acc_seg: 73.2639, loss: 0.2317 2023-01-30 09:55:41,666 - mmseg - INFO - Iter [141700/160000] lr: 6.863e-06, eta: 2:06:04, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1422, decode.acc_seg: 77.0644, aux.loss_ce: 0.0661, aux.acc_seg: 76.3980, loss: 0.2083 2023-01-30 09:56:01,036 - mmseg - INFO - Iter [141750/160000] lr: 6.844e-06, eta: 2:05:44, time: 0.387, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1410, decode.acc_seg: 75.7426, aux.loss_ce: 0.0651, aux.acc_seg: 75.1080, loss: 0.2061 2023-01-30 09:56:20,627 - mmseg - INFO - Iter [141800/160000] lr: 6.825e-06, eta: 2:05:23, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1456, decode.acc_seg: 74.4752, aux.loss_ce: 0.0685, aux.acc_seg: 73.7354, loss: 0.2141 2023-01-30 09:56:40,526 - mmseg - INFO - Iter [141850/160000] lr: 6.807e-06, eta: 2:05:02, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1369, decode.acc_seg: 75.5320, aux.loss_ce: 0.0644, aux.acc_seg: 74.8643, loss: 0.2013 2023-01-30 09:57:00,345 - mmseg - INFO - Iter [141900/160000] lr: 6.788e-06, eta: 2:04:41, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1428, decode.acc_seg: 74.5625, aux.loss_ce: 0.0661, aux.acc_seg: 73.8953, loss: 0.2089 2023-01-30 09:57:20,041 - mmseg - INFO - Iter [141950/160000] lr: 6.769e-06, eta: 2:04:20, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1456, decode.acc_seg: 75.2894, aux.loss_ce: 0.0681, aux.acc_seg: 74.5401, loss: 0.2137 2023-01-30 09:57:39,719 - mmseg - INFO - Saving checkpoint at 142000 iterations 2023-01-30 09:57:49,682 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 09:57:49,682 - mmseg - INFO - Iter [142000/160000] lr: 6.750e-06, eta: 2:04:01, time: 0.593, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1490, decode.acc_seg: 77.0324, aux.loss_ce: 0.0691, aux.acc_seg: 76.3954, loss: 0.2180 2023-01-30 09:58:10,126 - mmseg - INFO - Iter [142050/160000] lr: 6.732e-06, eta: 2:03:40, time: 0.409, data_time: 0.008, memory: 12319, decode.loss_ce: 0.1463, decode.acc_seg: 76.3654, aux.loss_ce: 0.0690, aux.acc_seg: 75.6071, loss: 0.2153 2023-01-30 09:58:29,788 - mmseg - INFO - Iter [142100/160000] lr: 6.713e-06, eta: 2:03:19, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1456, decode.acc_seg: 77.3433, aux.loss_ce: 0.0677, aux.acc_seg: 76.6482, loss: 0.2134 2023-01-30 09:58:49,614 - mmseg - INFO - Iter [142150/160000] lr: 6.694e-06, eta: 2:02:59, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1480, decode.acc_seg: 75.9948, aux.loss_ce: 0.0691, aux.acc_seg: 75.2432, loss: 0.2170 2023-01-30 09:59:09,315 - mmseg - INFO - Iter [142200/160000] lr: 6.675e-06, eta: 2:02:38, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1501, decode.acc_seg: 75.6276, aux.loss_ce: 0.0701, aux.acc_seg: 74.8931, loss: 0.2202 2023-01-30 09:59:29,049 - mmseg - INFO - Iter [142250/160000] lr: 6.657e-06, eta: 2:02:17, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1383, decode.acc_seg: 74.1436, aux.loss_ce: 0.0637, aux.acc_seg: 73.5575, loss: 0.2021 2023-01-30 09:59:48,698 - mmseg - INFO - Iter [142300/160000] lr: 6.638e-06, eta: 2:01:56, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1426, decode.acc_seg: 75.3130, aux.loss_ce: 0.0665, aux.acc_seg: 74.6377, loss: 0.2091 2023-01-30 10:00:08,254 - mmseg - INFO - Iter [142350/160000] lr: 6.619e-06, eta: 2:01:35, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1502, decode.acc_seg: 75.8147, aux.loss_ce: 0.0699, aux.acc_seg: 75.1587, loss: 0.2201 2023-01-30 10:00:27,772 - mmseg - INFO - Iter [142400/160000] lr: 6.600e-06, eta: 2:01:15, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1615, decode.acc_seg: 76.2859, aux.loss_ce: 0.0748, aux.acc_seg: 75.4828, loss: 0.2363 2023-01-30 10:00:47,443 - mmseg - INFO - Iter [142450/160000] lr: 6.582e-06, eta: 2:00:54, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1608, decode.acc_seg: 74.9930, aux.loss_ce: 0.0752, aux.acc_seg: 74.1891, loss: 0.2360 2023-01-30 10:01:07,259 - mmseg - INFO - Iter [142500/160000] lr: 6.563e-06, eta: 2:00:33, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1430, decode.acc_seg: 76.5956, aux.loss_ce: 0.0669, aux.acc_seg: 75.7847, loss: 0.2098 2023-01-30 10:01:27,148 - mmseg - INFO - Iter [142550/160000] lr: 6.544e-06, eta: 2:00:12, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1688, decode.acc_seg: 74.7537, aux.loss_ce: 0.0770, aux.acc_seg: 74.0410, loss: 0.2458 2023-01-30 10:01:46,725 - mmseg - INFO - Iter [142600/160000] lr: 6.525e-06, eta: 1:59:52, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1484, decode.acc_seg: 76.5535, aux.loss_ce: 0.0684, aux.acc_seg: 75.9269, loss: 0.2168 2023-01-30 10:02:06,459 - mmseg - INFO - Iter [142650/160000] lr: 6.507e-06, eta: 1:59:31, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1468, decode.acc_seg: 75.3741, aux.loss_ce: 0.0688, aux.acc_seg: 74.6898, loss: 0.2157 2023-01-30 10:02:26,998 - mmseg - INFO - Iter [142700/160000] lr: 6.488e-06, eta: 1:59:10, time: 0.411, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1506, decode.acc_seg: 77.2373, aux.loss_ce: 0.0699, aux.acc_seg: 76.5369, loss: 0.2205 2023-01-30 10:02:49,432 - mmseg - INFO - Iter [142750/160000] lr: 6.469e-06, eta: 1:58:50, time: 0.449, data_time: 0.052, memory: 12319, decode.loss_ce: 0.1540, decode.acc_seg: 75.0290, aux.loss_ce: 0.0722, aux.acc_seg: 74.3150, loss: 0.2262 2023-01-30 10:03:09,094 - mmseg - INFO - Iter [142800/160000] lr: 6.450e-06, eta: 1:58:29, time: 0.393, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1542, decode.acc_seg: 75.7923, aux.loss_ce: 0.0720, aux.acc_seg: 75.0238, loss: 0.2262 2023-01-30 10:03:28,854 - mmseg - INFO - Iter [142850/160000] lr: 6.432e-06, eta: 1:58:08, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1478, decode.acc_seg: 76.3661, aux.loss_ce: 0.0702, aux.acc_seg: 75.5535, loss: 0.2180 2023-01-30 10:03:48,377 - mmseg - INFO - Iter [142900/160000] lr: 6.413e-06, eta: 1:57:47, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1411, decode.acc_seg: 75.6557, aux.loss_ce: 0.0656, aux.acc_seg: 74.9812, loss: 0.2067 2023-01-30 10:04:08,148 - mmseg - INFO - Iter [142950/160000] lr: 6.394e-06, eta: 1:57:26, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1492, decode.acc_seg: 76.7867, aux.loss_ce: 0.0699, aux.acc_seg: 76.0154, loss: 0.2191 2023-01-30 10:04:28,102 - mmseg - INFO - Saving checkpoint at 143000 iterations 2023-01-30 10:04:38,102 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 10:04:38,102 - mmseg - INFO - Iter [143000/160000] lr: 6.375e-06, eta: 1:57:07, time: 0.599, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1569, decode.acc_seg: 75.1456, aux.loss_ce: 0.0730, aux.acc_seg: 74.3788, loss: 0.2299 2023-01-30 10:04:58,478 - mmseg - INFO - Iter [143050/160000] lr: 6.357e-06, eta: 1:56:46, time: 0.408, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1467, decode.acc_seg: 75.9115, aux.loss_ce: 0.0682, aux.acc_seg: 75.1924, loss: 0.2149 2023-01-30 10:05:18,244 - mmseg - INFO - Iter [143100/160000] lr: 6.338e-06, eta: 1:56:25, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1501, decode.acc_seg: 74.5949, aux.loss_ce: 0.0698, aux.acc_seg: 73.8163, loss: 0.2199 2023-01-30 10:05:38,149 - mmseg - INFO - Iter [143150/160000] lr: 6.319e-06, eta: 1:56:05, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1373, decode.acc_seg: 75.3865, aux.loss_ce: 0.0645, aux.acc_seg: 74.6957, loss: 0.2018 2023-01-30 10:05:58,061 - mmseg - INFO - Iter [143200/160000] lr: 6.300e-06, eta: 1:55:44, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1445, decode.acc_seg: 75.1881, aux.loss_ce: 0.0672, aux.acc_seg: 74.5528, loss: 0.2117 2023-01-30 10:06:18,036 - mmseg - INFO - Iter [143250/160000] lr: 6.282e-06, eta: 1:55:23, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1452, decode.acc_seg: 76.4617, aux.loss_ce: 0.0674, aux.acc_seg: 75.8377, loss: 0.2125 2023-01-30 10:06:38,005 - mmseg - INFO - Iter [143300/160000] lr: 6.263e-06, eta: 1:55:02, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1480, decode.acc_seg: 75.8032, aux.loss_ce: 0.0688, aux.acc_seg: 75.0780, loss: 0.2168 2023-01-30 10:06:57,845 - mmseg - INFO - Iter [143350/160000] lr: 6.244e-06, eta: 1:54:42, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1364, decode.acc_seg: 75.5089, aux.loss_ce: 0.0634, aux.acc_seg: 74.8546, loss: 0.1998 2023-01-30 10:07:17,599 - mmseg - INFO - Iter [143400/160000] lr: 6.225e-06, eta: 1:54:21, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1503, decode.acc_seg: 75.7232, aux.loss_ce: 0.0706, aux.acc_seg: 74.9580, loss: 0.2209 2023-01-30 10:07:37,336 - mmseg - INFO - Iter [143450/160000] lr: 6.207e-06, eta: 1:54:00, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1407, decode.acc_seg: 75.7568, aux.loss_ce: 0.0653, aux.acc_seg: 75.1285, loss: 0.2059 2023-01-30 10:07:56,956 - mmseg - INFO - Iter [143500/160000] lr: 6.188e-06, eta: 1:53:39, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1559, decode.acc_seg: 76.8994, aux.loss_ce: 0.0722, aux.acc_seg: 76.2200, loss: 0.2280 2023-01-30 10:08:16,654 - mmseg - INFO - Iter [143550/160000] lr: 6.169e-06, eta: 1:53:19, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1564, decode.acc_seg: 75.7650, aux.loss_ce: 0.0721, aux.acc_seg: 75.1063, loss: 0.2285 2023-01-30 10:08:36,415 - mmseg - INFO - Iter [143600/160000] lr: 6.150e-06, eta: 1:52:58, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1563, decode.acc_seg: 75.2170, aux.loss_ce: 0.0740, aux.acc_seg: 74.4372, loss: 0.2303 2023-01-30 10:08:56,143 - mmseg - INFO - Iter [143650/160000] lr: 6.132e-06, eta: 1:52:37, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1399, decode.acc_seg: 74.8766, aux.loss_ce: 0.0659, aux.acc_seg: 74.2074, loss: 0.2058 2023-01-30 10:09:15,991 - mmseg - INFO - Iter [143700/160000] lr: 6.113e-06, eta: 1:52:16, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1533, decode.acc_seg: 75.7149, aux.loss_ce: 0.0706, aux.acc_seg: 75.0041, loss: 0.2240 2023-01-30 10:09:35,748 - mmseg - INFO - Iter [143750/160000] lr: 6.094e-06, eta: 1:51:55, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1547, decode.acc_seg: 75.9149, aux.loss_ce: 0.0713, aux.acc_seg: 75.2535, loss: 0.2259 2023-01-30 10:09:55,585 - mmseg - INFO - Iter [143800/160000] lr: 6.075e-06, eta: 1:51:35, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1415, decode.acc_seg: 74.7992, aux.loss_ce: 0.0661, aux.acc_seg: 74.1259, loss: 0.2076 2023-01-30 10:10:15,138 - mmseg - INFO - Iter [143850/160000] lr: 6.057e-06, eta: 1:51:14, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1500, decode.acc_seg: 76.1632, aux.loss_ce: 0.0691, aux.acc_seg: 75.5078, loss: 0.2191 2023-01-30 10:10:35,018 - mmseg - INFO - Iter [143900/160000] lr: 6.038e-06, eta: 1:50:53, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1457, decode.acc_seg: 75.8927, aux.loss_ce: 0.0677, aux.acc_seg: 75.2307, loss: 0.2134 2023-01-30 10:10:55,921 - mmseg - INFO - Iter [143950/160000] lr: 6.019e-06, eta: 1:50:33, time: 0.418, data_time: 0.020, memory: 12319, decode.loss_ce: 0.1476, decode.acc_seg: 75.5881, aux.loss_ce: 0.0698, aux.acc_seg: 74.7795, loss: 0.2174 2023-01-30 10:11:18,004 - mmseg - INFO - Saving checkpoint at 144000 iterations 2023-01-30 10:11:28,846 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 10:11:28,847 - mmseg - INFO - Iter [144000/160000] lr: 6.000e-06, eta: 1:50:13, time: 0.659, data_time: 0.050, memory: 12319, decode.loss_ce: 0.1462, decode.acc_seg: 75.8987, aux.loss_ce: 0.0672, aux.acc_seg: 75.2205, loss: 0.2134 2023-01-30 10:11:57,527 - mmseg - INFO - per class results: 2023-01-30 10:11:57,534 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.36 | 89.53 | | building | 84.51 | 93.11 | | sky | 94.81 | 97.47 | | floor | 83.2 | 91.86 | | tree | 75.85 | 89.79 | | ceiling | 85.73 | 92.82 | | road | 83.97 | 89.86 | | bed | 91.73 | 96.75 | | windowpane | 63.63 | 79.24 | | grass | 67.12 | 82.66 | | cabinet | 63.26 | 73.64 | | sidewalk | 66.0 | 83.32 | | person | 84.62 | 93.63 | | earth | 39.34 | 53.16 | | door | 55.09 | 70.26 | | table | 68.12 | 80.96 | | mountain | 57.36 | 69.58 | | plant | 51.88 | 60.94 | | curtain | 76.23 | 88.18 | | chair | 63.44 | 76.03 | | car | 86.39 | 93.25 | | water | 67.18 | 83.37 | | painting | 75.79 | 89.21 | | sofa | 75.09 | 87.76 | | shelf | 47.49 | 63.28 | | house | 47.63 | 62.78 | | sea | 76.88 | 87.63 | | mirror | 73.28 | 81.52 | | rug | 65.39 | 77.07 | | field | 28.85 | 45.62 | | armchair | 54.87 | 74.86 | | seat | 67.75 | 87.28 | | fence | 51.21 | 65.57 | | desk | 57.14 | 74.2 | | rock | 50.28 | 77.66 | | wardrobe | 53.78 | 67.74 | | lamp | 68.64 | 80.02 | | bathtub | 84.26 | 87.6 | | railing | 40.45 | 53.69 | | cushion | 65.67 | 77.66 | | base | 37.33 | 53.55 | | box | 32.87 | 41.8 | | column | 48.22 | 58.21 | | signboard | 39.3 | 53.91 | | chest of drawers | 36.94 | 59.96 | | counter | 35.59 | 45.69 | | sand | 61.53 | 83.64 | | sink | 77.85 | 85.77 | | skyscraper | 56.54 | 72.35 | | fireplace | 75.37 | 91.02 | | refrigerator | 85.13 | 92.5 | | grandstand | 51.94 | 78.13 | | path | 17.85 | 24.43 | | stairs | 39.2 | 47.23 | | runway | 70.27 | 92.58 | | case | 50.36 | 66.32 | | pool table | 94.16 | 97.79 | | pillow | 65.11 | 77.15 | | screen door | 73.67 | 85.94 | | stairway | 47.0 | 59.89 | | river | 16.77 | 32.93 | | bridge | 77.83 | 89.51 | | bookcase | 40.56 | 63.72 | | blind | 37.79 | 41.24 | | coffee table | 63.23 | 83.07 | | toilet | 88.65 | 92.19 | | flower | 44.89 | 59.35 | | book | 49.42 | 65.21 | | hill | 14.01 | 20.19 | | bench | 51.48 | 58.68 | | countertop | 61.49 | 78.48 | | stove | 80.57 | 89.94 | | palm | 55.79 | 79.69 | | kitchen island | 48.77 | 87.03 | | computer | 78.94 | 89.89 | | swivel chair | 46.07 | 61.36 | | boat | 70.06 | 88.63 | | bar | 53.08 | 72.01 | | arcade machine | 71.58 | 75.19 | | hovel | 42.51 | 62.11 | | bus | 93.52 | 96.82 | | towel | 69.27 | 83.7 | | light | 60.15 | 69.74 | | truck | 43.44 | 52.95 | | tower | 25.58 | 39.57 | | chandelier | 69.22 | 83.87 | | awning | 36.91 | 45.01 | | streetlight | 36.26 | 46.24 | | booth | 64.41 | 74.48 | | television receiver | 73.85 | 86.66 | | airplane | 68.4 | 76.99 | | dirt track | 2.34 | 11.52 | | apparel | 48.54 | 61.79 | | pole | 27.95 | 38.37 | | land | 5.03 | 6.74 | | bannister | 19.08 | 24.94 | | escalator | 44.51 | 55.96 | | ottoman | 53.07 | 70.13 | | bottle | 43.39 | 67.15 | | buffet | 54.89 | 69.62 | | poster | 35.49 | 53.05 | | stage | 19.73 | 28.71 | | van | 50.08 | 69.0 | | ship | 12.95 | 15.13 | | fountain | 22.81 | 23.26 | | conveyer belt | 78.75 | 92.82 | | canopy | 48.38 | 67.43 | | washer | 86.76 | 93.24 | | plaything | 35.4 | 44.57 | | swimming pool | 69.77 | 87.45 | | stool | 45.65 | 60.53 | | barrel | 69.6 | 78.76 | | basket | 41.07 | 59.27 | | waterfall | 52.65 | 61.11 | | tent | 90.5 | 98.2 | | bag | 19.26 | 22.28 | | minibike | 73.22 | 87.39 | | cradle | 84.77 | 97.53 | | oven | 61.87 | 77.15 | | ball | 49.45 | 53.88 | | food | 47.66 | 55.07 | | step | 10.39 | 12.09 | | tank | 63.0 | 66.03 | | trade name | 20.8 | 23.65 | | microwave | 87.65 | 95.02 | | pot | 46.84 | 52.32 | | animal | 61.95 | 63.62 | | bicycle | 57.96 | 77.65 | | lake | 56.96 | 63.76 | | dishwasher | 75.09 | 83.03 | | screen | 56.64 | 89.98 | | blanket | 21.67 | 25.62 | | sculpture | 75.24 | 85.8 | | hood | 63.46 | 73.76 | | sconce | 52.53 | 61.65 | | vase | 47.06 | 64.59 | | traffic light | 39.03 | 60.28 | | tray | 13.01 | 22.55 | | ashcan | 49.6 | 66.05 | | fan | 69.88 | 83.61 | | pier | 34.43 | 42.98 | | crt screen | 5.31 | 12.45 | | plate | 58.53 | 76.82 | | monitor | 24.46 | 29.79 | | bulletin board | 47.0 | 61.63 | | shower | 5.04 | 16.77 | | radiator | 71.78 | 79.84 | | glass | 19.79 | 21.35 | | clock | 50.05 | 57.61 | | flag | 36.35 | 39.55 | +---------------------+-------+-------+ 2023-01-30 10:11:57,534 - mmseg - INFO - Summary: 2023-01-30 10:11:57,534 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.04 | 54.81 | 66.85 | +-------+-------+-------+ 2023-01-30 10:11:57,539 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 10:11:57,540 - mmseg - INFO - Iter(val) [250] aAcc: 0.8504, mIoU: 0.5481, mAcc: 0.6685, IoU.wall: 0.8036, IoU.building: 0.8451, IoU.sky: 0.9481, IoU.floor: 0.8320, IoU.tree: 0.7585, IoU.ceiling: 0.8573, IoU.road: 0.8397, IoU.bed : 0.9173, IoU.windowpane: 0.6363, IoU.grass: 0.6712, IoU.cabinet: 0.6326, IoU.sidewalk: 0.6600, IoU.person: 0.8462, IoU.earth: 0.3934, IoU.door: 0.5509, IoU.table: 0.6812, IoU.mountain: 0.5736, IoU.plant: 0.5188, IoU.curtain: 0.7623, IoU.chair: 0.6344, IoU.car: 0.8639, IoU.water: 0.6718, IoU.painting: 0.7579, IoU.sofa: 0.7509, IoU.shelf: 0.4749, IoU.house: 0.4763, IoU.sea: 0.7688, IoU.mirror: 0.7328, IoU.rug: 0.6539, IoU.field: 0.2885, IoU.armchair: 0.5487, IoU.seat: 0.6775, IoU.fence: 0.5121, IoU.desk: 0.5714, IoU.rock: 0.5028, IoU.wardrobe: 0.5378, IoU.lamp: 0.6864, IoU.bathtub: 0.8426, IoU.railing: 0.4045, IoU.cushion: 0.6567, IoU.base: 0.3733, IoU.box: 0.3287, IoU.column: 0.4822, IoU.signboard: 0.3930, IoU.chest of drawers: 0.3694, IoU.counter: 0.3559, IoU.sand: 0.6153, IoU.sink: 0.7785, IoU.skyscraper: 0.5654, IoU.fireplace: 0.7537, IoU.refrigerator: 0.8513, IoU.grandstand: 0.5194, IoU.path: 0.1785, IoU.stairs: 0.3920, IoU.runway: 0.7027, IoU.case: 0.5036, IoU.pool table: 0.9416, IoU.pillow: 0.6511, IoU.screen door: 0.7367, IoU.stairway: 0.4700, IoU.river: 0.1677, IoU.bridge: 0.7783, IoU.bookcase: 0.4056, IoU.blind: 0.3779, IoU.coffee table: 0.6323, IoU.toilet: 0.8865, IoU.flower: 0.4489, IoU.book: 0.4942, IoU.hill: 0.1401, IoU.bench: 0.5148, IoU.countertop: 0.6149, IoU.stove: 0.8057, IoU.palm: 0.5579, IoU.kitchen island: 0.4877, IoU.computer: 0.7894, IoU.swivel chair: 0.4607, IoU.boat: 0.7006, IoU.bar: 0.5308, IoU.arcade machine: 0.7158, IoU.hovel: 0.4251, IoU.bus: 0.9352, IoU.towel: 0.6927, IoU.light: 0.6015, IoU.truck: 0.4344, IoU.tower: 0.2558, IoU.chandelier: 0.6922, IoU.awning: 0.3691, IoU.streetlight: 0.3626, IoU.booth: 0.6441, IoU.television receiver: 0.7385, IoU.airplane: 0.6840, IoU.dirt track: 0.0234, IoU.apparel: 0.4854, IoU.pole: 0.2795, IoU.land: 0.0503, IoU.bannister: 0.1908, IoU.escalator: 0.4451, IoU.ottoman: 0.5307, IoU.bottle: 0.4339, IoU.buffet: 0.5489, IoU.poster: 0.3549, IoU.stage: 0.1973, IoU.van: 0.5008, IoU.ship: 0.1295, IoU.fountain: 0.2281, IoU.conveyer belt: 0.7875, IoU.canopy: 0.4838, IoU.washer: 0.8676, IoU.plaything: 0.3540, IoU.swimming pool: 0.6977, IoU.stool: 0.4565, IoU.barrel: 0.6960, IoU.basket: 0.4107, IoU.waterfall: 0.5265, IoU.tent: 0.9050, IoU.bag: 0.1926, IoU.minibike: 0.7322, IoU.cradle: 0.8477, IoU.oven: 0.6187, IoU.ball: 0.4945, IoU.food: 0.4766, IoU.step: 0.1039, IoU.tank: 0.6300, IoU.trade name: 0.2080, IoU.microwave: 0.8765, IoU.pot: 0.4684, IoU.animal: 0.6195, IoU.bicycle: 0.5796, IoU.lake: 0.5696, IoU.dishwasher: 0.7509, IoU.screen: 0.5664, IoU.blanket: 0.2167, IoU.sculpture: 0.7524, IoU.hood: 0.6346, IoU.sconce: 0.5253, IoU.vase: 0.4706, IoU.traffic light: 0.3903, IoU.tray: 0.1301, IoU.ashcan: 0.4960, IoU.fan: 0.6988, IoU.pier: 0.3443, IoU.crt screen: 0.0531, IoU.plate: 0.5853, IoU.monitor: 0.2446, IoU.bulletin board: 0.4700, IoU.shower: 0.0504, IoU.radiator: 0.7178, IoU.glass: 0.1979, IoU.clock: 0.5005, IoU.flag: 0.3635, Acc.wall: 0.8953, Acc.building: 0.9311, Acc.sky: 0.9747, Acc.floor: 0.9186, Acc.tree: 0.8979, Acc.ceiling: 0.9282, Acc.road: 0.8986, Acc.bed : 0.9675, Acc.windowpane: 0.7924, Acc.grass: 0.8266, Acc.cabinet: 0.7364, Acc.sidewalk: 0.8332, Acc.person: 0.9363, Acc.earth: 0.5316, Acc.door: 0.7026, Acc.table: 0.8096, Acc.mountain: 0.6958, Acc.plant: 0.6094, Acc.curtain: 0.8818, Acc.chair: 0.7603, Acc.car: 0.9325, Acc.water: 0.8337, Acc.painting: 0.8921, Acc.sofa: 0.8776, Acc.shelf: 0.6328, Acc.house: 0.6278, Acc.sea: 0.8763, Acc.mirror: 0.8152, Acc.rug: 0.7707, Acc.field: 0.4562, Acc.armchair: 0.7486, Acc.seat: 0.8728, Acc.fence: 0.6557, Acc.desk: 0.7420, Acc.rock: 0.7766, Acc.wardrobe: 0.6774, Acc.lamp: 0.8002, Acc.bathtub: 0.8760, Acc.railing: 0.5369, Acc.cushion: 0.7766, Acc.base: 0.5355, Acc.box: 0.4180, Acc.column: 0.5821, Acc.signboard: 0.5391, Acc.chest of drawers: 0.5996, Acc.counter: 0.4569, Acc.sand: 0.8364, Acc.sink: 0.8577, Acc.skyscraper: 0.7235, Acc.fireplace: 0.9102, Acc.refrigerator: 0.9250, Acc.grandstand: 0.7813, Acc.path: 0.2443, Acc.stairs: 0.4723, Acc.runway: 0.9258, Acc.case: 0.6632, Acc.pool table: 0.9779, Acc.pillow: 0.7715, Acc.screen door: 0.8594, Acc.stairway: 0.5989, Acc.river: 0.3293, Acc.bridge: 0.8951, Acc.bookcase: 0.6372, Acc.blind: 0.4124, Acc.coffee table: 0.8307, Acc.toilet: 0.9219, Acc.flower: 0.5935, Acc.book: 0.6521, Acc.hill: 0.2019, Acc.bench: 0.5868, Acc.countertop: 0.7848, Acc.stove: 0.8994, Acc.palm: 0.7969, Acc.kitchen island: 0.8703, Acc.computer: 0.8989, Acc.swivel chair: 0.6136, Acc.boat: 0.8863, Acc.bar: 0.7201, Acc.arcade machine: 0.7519, Acc.hovel: 0.6211, Acc.bus: 0.9682, Acc.towel: 0.8370, Acc.light: 0.6974, Acc.truck: 0.5295, Acc.tower: 0.3957, Acc.chandelier: 0.8387, Acc.awning: 0.4501, Acc.streetlight: 0.4624, Acc.booth: 0.7448, Acc.television receiver: 0.8666, Acc.airplane: 0.7699, Acc.dirt track: 0.1152, Acc.apparel: 0.6179, Acc.pole: 0.3837, Acc.land: 0.0674, Acc.bannister: 0.2494, Acc.escalator: 0.5596, Acc.ottoman: 0.7013, Acc.bottle: 0.6715, Acc.buffet: 0.6962, Acc.poster: 0.5305, Acc.stage: 0.2871, Acc.van: 0.6900, Acc.ship: 0.1513, Acc.fountain: 0.2326, Acc.conveyer belt: 0.9282, Acc.canopy: 0.6743, Acc.washer: 0.9324, Acc.plaything: 0.4457, Acc.swimming pool: 0.8745, Acc.stool: 0.6053, Acc.barrel: 0.7876, Acc.basket: 0.5927, Acc.waterfall: 0.6111, Acc.tent: 0.9820, Acc.bag: 0.2228, Acc.minibike: 0.8739, Acc.cradle: 0.9753, Acc.oven: 0.7715, Acc.ball: 0.5388, Acc.food: 0.5507, Acc.step: 0.1209, Acc.tank: 0.6603, Acc.trade name: 0.2365, Acc.microwave: 0.9502, Acc.pot: 0.5232, Acc.animal: 0.6362, Acc.bicycle: 0.7765, Acc.lake: 0.6376, Acc.dishwasher: 0.8303, Acc.screen: 0.8998, Acc.blanket: 0.2562, Acc.sculpture: 0.8580, Acc.hood: 0.7376, Acc.sconce: 0.6165, Acc.vase: 0.6459, Acc.traffic light: 0.6028, Acc.tray: 0.2255, Acc.ashcan: 0.6605, Acc.fan: 0.8361, Acc.pier: 0.4298, Acc.crt screen: 0.1245, Acc.plate: 0.7682, Acc.monitor: 0.2979, Acc.bulletin board: 0.6163, Acc.shower: 0.1677, Acc.radiator: 0.7984, Acc.glass: 0.2135, Acc.clock: 0.5761, Acc.flag: 0.3955 2023-01-30 10:12:17,470 - mmseg - INFO - Iter [144050/160000] lr: 5.982e-06, eta: 1:49:56, time: 0.972, data_time: 0.579, memory: 12319, decode.loss_ce: 0.1444, decode.acc_seg: 77.0015, aux.loss_ce: 0.0679, aux.acc_seg: 76.2486, loss: 0.2123 2023-01-30 10:12:37,286 - mmseg - INFO - Iter [144100/160000] lr: 5.963e-06, eta: 1:49:35, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1524, decode.acc_seg: 76.7757, aux.loss_ce: 0.0725, aux.acc_seg: 75.9082, loss: 0.2249 2023-01-30 10:12:57,224 - mmseg - INFO - Iter [144150/160000] lr: 5.944e-06, eta: 1:49:14, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1399, decode.acc_seg: 76.6187, aux.loss_ce: 0.0660, aux.acc_seg: 75.8600, loss: 0.2060 2023-01-30 10:13:16,920 - mmseg - INFO - Iter [144200/160000] lr: 5.925e-06, eta: 1:48:53, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1480, decode.acc_seg: 75.3583, aux.loss_ce: 0.0692, aux.acc_seg: 74.6117, loss: 0.2172 2023-01-30 10:13:36,597 - mmseg - INFO - Iter [144250/160000] lr: 5.907e-06, eta: 1:48:33, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1489, decode.acc_seg: 75.1344, aux.loss_ce: 0.0691, aux.acc_seg: 74.4467, loss: 0.2180 2023-01-30 10:13:56,393 - mmseg - INFO - Iter [144300/160000] lr: 5.888e-06, eta: 1:48:12, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1443, decode.acc_seg: 75.8961, aux.loss_ce: 0.0663, aux.acc_seg: 75.2993, loss: 0.2106 2023-01-30 10:14:16,253 - mmseg - INFO - Iter [144350/160000] lr: 5.869e-06, eta: 1:47:51, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1487, decode.acc_seg: 74.6060, aux.loss_ce: 0.0693, aux.acc_seg: 73.8807, loss: 0.2180 2023-01-30 10:14:36,130 - mmseg - INFO - Iter [144400/160000] lr: 5.850e-06, eta: 1:47:30, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1456, decode.acc_seg: 75.3118, aux.loss_ce: 0.0680, aux.acc_seg: 74.6160, loss: 0.2136 2023-01-30 10:14:55,705 - mmseg - INFO - Iter [144450/160000] lr: 5.832e-06, eta: 1:47:09, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1473, decode.acc_seg: 74.9429, aux.loss_ce: 0.0687, aux.acc_seg: 74.1669, loss: 0.2160 2023-01-30 10:15:15,714 - mmseg - INFO - Iter [144500/160000] lr: 5.813e-06, eta: 1:46:49, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1546, decode.acc_seg: 76.3251, aux.loss_ce: 0.0712, aux.acc_seg: 75.7159, loss: 0.2258 2023-01-30 10:15:35,755 - mmseg - INFO - Iter [144550/160000] lr: 5.794e-06, eta: 1:46:28, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1395, decode.acc_seg: 75.3265, aux.loss_ce: 0.0661, aux.acc_seg: 74.5598, loss: 0.2056 2023-01-30 10:15:55,451 - mmseg - INFO - Iter [144600/160000] lr: 5.775e-06, eta: 1:46:07, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1450, decode.acc_seg: 75.9824, aux.loss_ce: 0.0674, aux.acc_seg: 75.3025, loss: 0.2124 2023-01-30 10:16:15,165 - mmseg - INFO - Iter [144650/160000] lr: 5.757e-06, eta: 1:45:46, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1532, decode.acc_seg: 74.8481, aux.loss_ce: 0.0711, aux.acc_seg: 74.0999, loss: 0.2243 2023-01-30 10:16:34,858 - mmseg - INFO - Iter [144700/160000] lr: 5.738e-06, eta: 1:45:26, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1459, decode.acc_seg: 76.2699, aux.loss_ce: 0.0682, aux.acc_seg: 75.5278, loss: 0.2141 2023-01-30 10:16:54,573 - mmseg - INFO - Iter [144750/160000] lr: 5.719e-06, eta: 1:45:05, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1494, decode.acc_seg: 75.0413, aux.loss_ce: 0.0693, aux.acc_seg: 74.3541, loss: 0.2186 2023-01-30 10:17:14,582 - mmseg - INFO - Iter [144800/160000] lr: 5.700e-06, eta: 1:44:44, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1472, decode.acc_seg: 75.3712, aux.loss_ce: 0.0679, aux.acc_seg: 74.7216, loss: 0.2151 2023-01-30 10:17:34,428 - mmseg - INFO - Iter [144850/160000] lr: 5.682e-06, eta: 1:44:23, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1530, decode.acc_seg: 75.5652, aux.loss_ce: 0.0712, aux.acc_seg: 74.8647, loss: 0.2242 2023-01-30 10:17:54,213 - mmseg - INFO - Iter [144900/160000] lr: 5.663e-06, eta: 1:44:03, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1498, decode.acc_seg: 76.2082, aux.loss_ce: 0.0701, aux.acc_seg: 75.4313, loss: 0.2198 2023-01-30 10:18:13,806 - mmseg - INFO - Iter [144950/160000] lr: 5.644e-06, eta: 1:43:42, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1507, decode.acc_seg: 75.0948, aux.loss_ce: 0.0703, aux.acc_seg: 74.3717, loss: 0.2210 2023-01-30 10:18:33,638 - mmseg - INFO - Saving checkpoint at 145000 iterations 2023-01-30 10:18:44,289 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 10:18:44,289 - mmseg - INFO - Iter [145000/160000] lr: 5.625e-06, eta: 1:43:22, time: 0.609, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1552, decode.acc_seg: 77.4150, aux.loss_ce: 0.0725, aux.acc_seg: 76.6531, loss: 0.2276 2023-01-30 10:19:04,043 - mmseg - INFO - Iter [145050/160000] lr: 5.607e-06, eta: 1:43:01, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1419, decode.acc_seg: 74.1979, aux.loss_ce: 0.0657, aux.acc_seg: 73.5349, loss: 0.2076 2023-01-30 10:19:23,886 - mmseg - INFO - Iter [145100/160000] lr: 5.588e-06, eta: 1:42:41, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1461, decode.acc_seg: 76.4658, aux.loss_ce: 0.0685, aux.acc_seg: 75.7449, loss: 0.2146 2023-01-30 10:19:43,761 - mmseg - INFO - Iter [145150/160000] lr: 5.569e-06, eta: 1:42:20, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1501, decode.acc_seg: 75.0531, aux.loss_ce: 0.0696, aux.acc_seg: 74.4148, loss: 0.2197 2023-01-30 10:20:03,834 - mmseg - INFO - Iter [145200/160000] lr: 5.550e-06, eta: 1:41:59, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1453, decode.acc_seg: 75.3324, aux.loss_ce: 0.0681, aux.acc_seg: 74.5627, loss: 0.2134 2023-01-30 10:20:25,748 - mmseg - INFO - Iter [145250/160000] lr: 5.532e-06, eta: 1:41:39, time: 0.438, data_time: 0.051, memory: 12319, decode.loss_ce: 0.1541, decode.acc_seg: 75.2860, aux.loss_ce: 0.0723, aux.acc_seg: 74.5142, loss: 0.2264 2023-01-30 10:20:45,779 - mmseg - INFO - Iter [145300/160000] lr: 5.513e-06, eta: 1:41:18, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1475, decode.acc_seg: 75.4791, aux.loss_ce: 0.0690, aux.acc_seg: 74.7794, loss: 0.2165 2023-01-30 10:21:05,588 - mmseg - INFO - Iter [145350/160000] lr: 5.494e-06, eta: 1:40:57, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1520, decode.acc_seg: 76.2874, aux.loss_ce: 0.0714, aux.acc_seg: 75.5028, loss: 0.2233 2023-01-30 10:21:25,391 - mmseg - INFO - Iter [145400/160000] lr: 5.475e-06, eta: 1:40:36, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1444, decode.acc_seg: 76.2867, aux.loss_ce: 0.0669, aux.acc_seg: 75.6415, loss: 0.2112 2023-01-30 10:21:45,151 - mmseg - INFO - Iter [145450/160000] lr: 5.457e-06, eta: 1:40:16, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1548, decode.acc_seg: 75.4835, aux.loss_ce: 0.0714, aux.acc_seg: 74.7796, loss: 0.2262 2023-01-30 10:22:04,756 - mmseg - INFO - Iter [145500/160000] lr: 5.438e-06, eta: 1:39:55, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1542, decode.acc_seg: 75.6204, aux.loss_ce: 0.0716, aux.acc_seg: 74.8375, loss: 0.2257 2023-01-30 10:22:24,410 - mmseg - INFO - Iter [145550/160000] lr: 5.419e-06, eta: 1:39:34, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1458, decode.acc_seg: 75.2623, aux.loss_ce: 0.0682, aux.acc_seg: 74.5927, loss: 0.2140 2023-01-30 10:22:44,482 - mmseg - INFO - Iter [145600/160000] lr: 5.400e-06, eta: 1:39:13, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1458, decode.acc_seg: 75.7087, aux.loss_ce: 0.0679, aux.acc_seg: 75.0506, loss: 0.2137 2023-01-30 10:23:04,037 - mmseg - INFO - Iter [145650/160000] lr: 5.382e-06, eta: 1:38:52, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1539, decode.acc_seg: 77.2306, aux.loss_ce: 0.0720, aux.acc_seg: 76.4814, loss: 0.2259 2023-01-30 10:23:23,653 - mmseg - INFO - Iter [145700/160000] lr: 5.363e-06, eta: 1:38:32, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1438, decode.acc_seg: 75.4030, aux.loss_ce: 0.0677, aux.acc_seg: 74.5990, loss: 0.2115 2023-01-30 10:23:43,665 - mmseg - INFO - Iter [145750/160000] lr: 5.344e-06, eta: 1:38:11, time: 0.400, data_time: 0.007, memory: 12319, decode.loss_ce: 0.1453, decode.acc_seg: 75.0228, aux.loss_ce: 0.0676, aux.acc_seg: 74.3021, loss: 0.2129 2023-01-30 10:24:03,277 - mmseg - INFO - Iter [145800/160000] lr: 5.325e-06, eta: 1:37:50, time: 0.392, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1474, decode.acc_seg: 76.2297, aux.loss_ce: 0.0683, aux.acc_seg: 75.5692, loss: 0.2158 2023-01-30 10:24:23,185 - mmseg - INFO - Iter [145850/160000] lr: 5.307e-06, eta: 1:37:29, time: 0.400, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1443, decode.acc_seg: 75.5375, aux.loss_ce: 0.0674, aux.acc_seg: 74.7998, loss: 0.2117 2023-01-30 10:24:43,020 - mmseg - INFO - Iter [145900/160000] lr: 5.288e-06, eta: 1:37:09, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1456, decode.acc_seg: 75.5640, aux.loss_ce: 0.0678, aux.acc_seg: 74.8999, loss: 0.2134 2023-01-30 10:25:02,666 - mmseg - INFO - Iter [145950/160000] lr: 5.269e-06, eta: 1:36:48, time: 0.393, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1367, decode.acc_seg: 76.1211, aux.loss_ce: 0.0641, aux.acc_seg: 75.5251, loss: 0.2007 2023-01-30 10:25:22,341 - mmseg - INFO - Saving checkpoint at 146000 iterations 2023-01-30 10:25:32,284 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 10:25:32,285 - mmseg - INFO - Iter [146000/160000] lr: 5.250e-06, eta: 1:36:28, time: 0.594, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1476, decode.acc_seg: 75.3078, aux.loss_ce: 0.0691, aux.acc_seg: 74.6397, loss: 0.2166 2023-01-30 10:25:52,120 - mmseg - INFO - Iter [146050/160000] lr: 5.232e-06, eta: 1:36:07, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1429, decode.acc_seg: 75.1842, aux.loss_ce: 0.0669, aux.acc_seg: 74.4892, loss: 0.2099 2023-01-30 10:26:11,982 - mmseg - INFO - Iter [146100/160000] lr: 5.213e-06, eta: 1:35:47, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1575, decode.acc_seg: 75.7846, aux.loss_ce: 0.0727, aux.acc_seg: 75.1569, loss: 0.2302 2023-01-30 10:26:31,983 - mmseg - INFO - Iter [146150/160000] lr: 5.194e-06, eta: 1:35:26, time: 0.400, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1485, decode.acc_seg: 76.1925, aux.loss_ce: 0.0693, aux.acc_seg: 75.5222, loss: 0.2178 2023-01-30 10:26:51,780 - mmseg - INFO - Iter [146200/160000] lr: 5.175e-06, eta: 1:35:05, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1510, decode.acc_seg: 74.2862, aux.loss_ce: 0.0707, aux.acc_seg: 73.5460, loss: 0.2218 2023-01-30 10:27:11,442 - mmseg - INFO - Iter [146250/160000] lr: 5.157e-06, eta: 1:34:44, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1480, decode.acc_seg: 74.0464, aux.loss_ce: 0.0686, aux.acc_seg: 73.3485, loss: 0.2166 2023-01-30 10:27:31,069 - mmseg - INFO - Iter [146300/160000] lr: 5.138e-06, eta: 1:34:24, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1440, decode.acc_seg: 77.9009, aux.loss_ce: 0.0668, aux.acc_seg: 77.2578, loss: 0.2108 2023-01-30 10:27:50,651 - mmseg - INFO - Iter [146350/160000] lr: 5.119e-06, eta: 1:34:03, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1464, decode.acc_seg: 77.1493, aux.loss_ce: 0.0676, aux.acc_seg: 76.4926, loss: 0.2141 2023-01-30 10:28:10,531 - mmseg - INFO - Iter [146400/160000] lr: 5.100e-06, eta: 1:33:42, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1405, decode.acc_seg: 75.8511, aux.loss_ce: 0.0652, aux.acc_seg: 75.1480, loss: 0.2057 2023-01-30 10:28:30,420 - mmseg - INFO - Iter [146450/160000] lr: 5.082e-06, eta: 1:33:21, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1460, decode.acc_seg: 76.1670, aux.loss_ce: 0.0682, aux.acc_seg: 75.4376, loss: 0.2143 2023-01-30 10:28:50,265 - mmseg - INFO - Iter [146500/160000] lr: 5.063e-06, eta: 1:33:01, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1523, decode.acc_seg: 74.3677, aux.loss_ce: 0.0712, aux.acc_seg: 73.6154, loss: 0.2235 2023-01-30 10:29:12,626 - mmseg - INFO - Iter [146550/160000] lr: 5.044e-06, eta: 1:32:40, time: 0.447, data_time: 0.053, memory: 12319, decode.loss_ce: 0.1428, decode.acc_seg: 74.9829, aux.loss_ce: 0.0670, aux.acc_seg: 74.2285, loss: 0.2098 2023-01-30 10:29:32,501 - mmseg - INFO - Iter [146600/160000] lr: 5.025e-06, eta: 1:32:19, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1444, decode.acc_seg: 76.3215, aux.loss_ce: 0.0670, aux.acc_seg: 75.6852, loss: 0.2114 2023-01-30 10:29:52,262 - mmseg - INFO - Iter [146650/160000] lr: 5.007e-06, eta: 1:31:59, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1453, decode.acc_seg: 74.7753, aux.loss_ce: 0.0681, aux.acc_seg: 74.0496, loss: 0.2134 2023-01-30 10:30:11,989 - mmseg - INFO - Iter [146700/160000] lr: 4.988e-06, eta: 1:31:38, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1446, decode.acc_seg: 75.0190, aux.loss_ce: 0.0673, aux.acc_seg: 74.2603, loss: 0.2119 2023-01-30 10:30:31,640 - mmseg - INFO - Iter [146750/160000] lr: 4.969e-06, eta: 1:31:17, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1383, decode.acc_seg: 76.3264, aux.loss_ce: 0.0648, aux.acc_seg: 75.6337, loss: 0.2031 2023-01-30 10:30:51,251 - mmseg - INFO - Iter [146800/160000] lr: 4.950e-06, eta: 1:30:56, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1411, decode.acc_seg: 76.4148, aux.loss_ce: 0.0658, aux.acc_seg: 75.7944, loss: 0.2069 2023-01-30 10:31:10,995 - mmseg - INFO - Iter [146850/160000] lr: 4.932e-06, eta: 1:30:36, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1512, decode.acc_seg: 74.4579, aux.loss_ce: 0.0708, aux.acc_seg: 73.6771, loss: 0.2219 2023-01-30 10:31:30,656 - mmseg - INFO - Iter [146900/160000] lr: 4.913e-06, eta: 1:30:15, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1488, decode.acc_seg: 74.9934, aux.loss_ce: 0.0697, aux.acc_seg: 74.2293, loss: 0.2185 2023-01-30 10:31:50,349 - mmseg - INFO - Iter [146950/160000] lr: 4.894e-06, eta: 1:29:54, time: 0.394, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1487, decode.acc_seg: 75.4890, aux.loss_ce: 0.0701, aux.acc_seg: 74.7048, loss: 0.2188 2023-01-30 10:32:09,939 - mmseg - INFO - Saving checkpoint at 147000 iterations 2023-01-30 10:32:20,130 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 10:32:20,135 - mmseg - INFO - Iter [147000/160000] lr: 4.875e-06, eta: 1:29:34, time: 0.595, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1416, decode.acc_seg: 75.8726, aux.loss_ce: 0.0655, aux.acc_seg: 75.1759, loss: 0.2071 2023-01-30 10:32:40,240 - mmseg - INFO - Iter [147050/160000] lr: 4.857e-06, eta: 1:29:13, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1442, decode.acc_seg: 76.0551, aux.loss_ce: 0.0677, aux.acc_seg: 75.3120, loss: 0.2119 2023-01-30 10:33:00,074 - mmseg - INFO - Iter [147100/160000] lr: 4.838e-06, eta: 1:28:53, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1472, decode.acc_seg: 76.5307, aux.loss_ce: 0.0693, aux.acc_seg: 75.8151, loss: 0.2166 2023-01-30 10:33:20,010 - mmseg - INFO - Iter [147150/160000] lr: 4.819e-06, eta: 1:28:32, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1487, decode.acc_seg: 76.7303, aux.loss_ce: 0.0691, aux.acc_seg: 75.9927, loss: 0.2177 2023-01-30 10:33:39,769 - mmseg - INFO - Iter [147200/160000] lr: 4.800e-06, eta: 1:28:11, time: 0.395, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1465, decode.acc_seg: 75.4568, aux.loss_ce: 0.0692, aux.acc_seg: 74.8025, loss: 0.2157 2023-01-30 10:33:59,326 - mmseg - INFO - Iter [147250/160000] lr: 4.782e-06, eta: 1:27:50, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1470, decode.acc_seg: 76.1455, aux.loss_ce: 0.0686, aux.acc_seg: 75.4392, loss: 0.2157 2023-01-30 10:34:19,619 - mmseg - INFO - Iter [147300/160000] lr: 4.763e-06, eta: 1:27:30, time: 0.405, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1447, decode.acc_seg: 76.1849, aux.loss_ce: 0.0679, aux.acc_seg: 75.4687, loss: 0.2127 2023-01-30 10:34:39,111 - mmseg - INFO - Iter [147350/160000] lr: 4.744e-06, eta: 1:27:09, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1405, decode.acc_seg: 75.7100, aux.loss_ce: 0.0655, aux.acc_seg: 75.0131, loss: 0.2060 2023-01-30 10:34:58,886 - mmseg - INFO - Iter [147400/160000] lr: 4.725e-06, eta: 1:26:48, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1377, decode.acc_seg: 75.6371, aux.loss_ce: 0.0649, aux.acc_seg: 74.9241, loss: 0.2027 2023-01-30 10:35:18,660 - mmseg - INFO - Iter [147450/160000] lr: 4.707e-06, eta: 1:26:27, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1590, decode.acc_seg: 75.2832, aux.loss_ce: 0.0742, aux.acc_seg: 74.5794, loss: 0.2332 2023-01-30 10:35:38,386 - mmseg - INFO - Iter [147500/160000] lr: 4.688e-06, eta: 1:26:07, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1497, decode.acc_seg: 74.1240, aux.loss_ce: 0.0694, aux.acc_seg: 73.4844, loss: 0.2191 2023-01-30 10:35:58,212 - mmseg - INFO - Iter [147550/160000] lr: 4.669e-06, eta: 1:25:46, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1317, decode.acc_seg: 74.3307, aux.loss_ce: 0.0627, aux.acc_seg: 73.6449, loss: 0.1945 2023-01-30 10:36:18,169 - mmseg - INFO - Iter [147600/160000] lr: 4.650e-06, eta: 1:25:25, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1480, decode.acc_seg: 74.1865, aux.loss_ce: 0.0688, aux.acc_seg: 73.5458, loss: 0.2168 2023-01-30 10:36:37,788 - mmseg - INFO - Iter [147650/160000] lr: 4.632e-06, eta: 1:25:04, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1451, decode.acc_seg: 74.8334, aux.loss_ce: 0.0681, aux.acc_seg: 74.1396, loss: 0.2132 2023-01-30 10:36:57,502 - mmseg - INFO - Iter [147700/160000] lr: 4.613e-06, eta: 1:24:44, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1348, decode.acc_seg: 75.5060, aux.loss_ce: 0.0624, aux.acc_seg: 74.8933, loss: 0.1972 2023-01-30 10:37:17,148 - mmseg - INFO - Iter [147750/160000] lr: 4.594e-06, eta: 1:24:23, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1440, decode.acc_seg: 76.6949, aux.loss_ce: 0.0666, aux.acc_seg: 76.0269, loss: 0.2106 2023-01-30 10:37:39,759 - mmseg - INFO - Iter [147800/160000] lr: 4.575e-06, eta: 1:24:02, time: 0.452, data_time: 0.053, memory: 12319, decode.loss_ce: 0.1448, decode.acc_seg: 74.7294, aux.loss_ce: 0.0681, aux.acc_seg: 73.9194, loss: 0.2128 2023-01-30 10:37:59,840 - mmseg - INFO - Iter [147850/160000] lr: 4.557e-06, eta: 1:23:42, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1467, decode.acc_seg: 76.0100, aux.loss_ce: 0.0682, aux.acc_seg: 75.2958, loss: 0.2149 2023-01-30 10:38:19,449 - mmseg - INFO - Iter [147900/160000] lr: 4.538e-06, eta: 1:23:21, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1480, decode.acc_seg: 76.5484, aux.loss_ce: 0.0694, aux.acc_seg: 75.8686, loss: 0.2173 2023-01-30 10:38:39,072 - mmseg - INFO - Iter [147950/160000] lr: 4.519e-06, eta: 1:23:00, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1456, decode.acc_seg: 76.0559, aux.loss_ce: 0.0674, aux.acc_seg: 75.3628, loss: 0.2130 2023-01-30 10:38:58,814 - mmseg - INFO - Saving checkpoint at 148000 iterations 2023-01-30 10:39:09,562 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 10:39:09,563 - mmseg - INFO - Iter [148000/160000] lr: 4.500e-06, eta: 1:22:40, time: 0.609, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1432, decode.acc_seg: 74.6615, aux.loss_ce: 0.0680, aux.acc_seg: 73.9374, loss: 0.2112 2023-01-30 10:39:29,819 - mmseg - INFO - Iter [148050/160000] lr: 4.482e-06, eta: 1:22:20, time: 0.406, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1375, decode.acc_seg: 74.6405, aux.loss_ce: 0.0648, aux.acc_seg: 73.9236, loss: 0.2023 2023-01-30 10:39:49,642 - mmseg - INFO - Iter [148100/160000] lr: 4.463e-06, eta: 1:21:59, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1410, decode.acc_seg: 75.6459, aux.loss_ce: 0.0660, aux.acc_seg: 74.9564, loss: 0.2070 2023-01-30 10:40:09,546 - mmseg - INFO - Iter [148150/160000] lr: 4.444e-06, eta: 1:21:38, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1496, decode.acc_seg: 74.9204, aux.loss_ce: 0.0698, aux.acc_seg: 74.1992, loss: 0.2194 2023-01-30 10:40:29,424 - mmseg - INFO - Iter [148200/160000] lr: 4.425e-06, eta: 1:21:17, time: 0.398, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1443, decode.acc_seg: 75.8430, aux.loss_ce: 0.0672, aux.acc_seg: 75.2022, loss: 0.2115 2023-01-30 10:40:49,460 - mmseg - INFO - Iter [148250/160000] lr: 4.407e-06, eta: 1:20:57, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1512, decode.acc_seg: 75.0776, aux.loss_ce: 0.0702, aux.acc_seg: 74.3304, loss: 0.2213 2023-01-30 10:41:09,071 - mmseg - INFO - Iter [148300/160000] lr: 4.388e-06, eta: 1:20:36, time: 0.394, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1423, decode.acc_seg: 76.2099, aux.loss_ce: 0.0667, aux.acc_seg: 75.5316, loss: 0.2090 2023-01-30 10:41:28,746 - mmseg - INFO - Iter [148350/160000] lr: 4.369e-06, eta: 1:20:15, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1490, decode.acc_seg: 74.6417, aux.loss_ce: 0.0687, aux.acc_seg: 73.9752, loss: 0.2177 2023-01-30 10:41:48,387 - mmseg - INFO - Iter [148400/160000] lr: 4.350e-06, eta: 1:19:55, time: 0.393, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1505, decode.acc_seg: 77.0420, aux.loss_ce: 0.0700, aux.acc_seg: 76.3249, loss: 0.2205 2023-01-30 10:42:07,965 - mmseg - INFO - Iter [148450/160000] lr: 4.332e-06, eta: 1:19:34, time: 0.393, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1541, decode.acc_seg: 75.6412, aux.loss_ce: 0.0712, aux.acc_seg: 74.9640, loss: 0.2253 2023-01-30 10:42:27,922 - mmseg - INFO - Iter [148500/160000] lr: 4.313e-06, eta: 1:19:13, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1464, decode.acc_seg: 77.4979, aux.loss_ce: 0.0687, aux.acc_seg: 76.7408, loss: 0.2151 2023-01-30 10:42:47,533 - mmseg - INFO - Iter [148550/160000] lr: 4.294e-06, eta: 1:18:52, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1394, decode.acc_seg: 76.7087, aux.loss_ce: 0.0649, aux.acc_seg: 76.0233, loss: 0.2043 2023-01-30 10:43:07,215 - mmseg - INFO - Iter [148600/160000] lr: 4.275e-06, eta: 1:18:32, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1463, decode.acc_seg: 75.9228, aux.loss_ce: 0.0678, aux.acc_seg: 75.1723, loss: 0.2140 2023-01-30 10:43:26,758 - mmseg - INFO - Iter [148650/160000] lr: 4.257e-06, eta: 1:18:11, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1483, decode.acc_seg: 75.6403, aux.loss_ce: 0.0690, aux.acc_seg: 74.8695, loss: 0.2172 2023-01-30 10:43:46,515 - mmseg - INFO - Iter [148700/160000] lr: 4.238e-06, eta: 1:17:50, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1512, decode.acc_seg: 76.3396, aux.loss_ce: 0.0695, aux.acc_seg: 75.7144, loss: 0.2207 2023-01-30 10:44:06,448 - mmseg - INFO - Iter [148750/160000] lr: 4.219e-06, eta: 1:17:29, time: 0.399, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1452, decode.acc_seg: 74.9070, aux.loss_ce: 0.0675, aux.acc_seg: 74.2629, loss: 0.2127 2023-01-30 10:44:26,088 - mmseg - INFO - Iter [148800/160000] lr: 4.200e-06, eta: 1:17:09, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1454, decode.acc_seg: 77.2214, aux.loss_ce: 0.0679, aux.acc_seg: 76.5655, loss: 0.2133 2023-01-30 10:44:45,893 - mmseg - INFO - Iter [148850/160000] lr: 4.182e-06, eta: 1:16:48, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1528, decode.acc_seg: 75.7680, aux.loss_ce: 0.0706, aux.acc_seg: 75.0259, loss: 0.2234 2023-01-30 10:45:05,738 - mmseg - INFO - Iter [148900/160000] lr: 4.163e-06, eta: 1:16:27, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1406, decode.acc_seg: 74.8735, aux.loss_ce: 0.0660, aux.acc_seg: 74.1062, loss: 0.2066 2023-01-30 10:45:25,489 - mmseg - INFO - Iter [148950/160000] lr: 4.144e-06, eta: 1:16:06, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1372, decode.acc_seg: 76.6255, aux.loss_ce: 0.0641, aux.acc_seg: 75.9022, loss: 0.2013 2023-01-30 10:45:45,285 - mmseg - INFO - Saving checkpoint at 149000 iterations 2023-01-30 10:45:55,988 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 10:45:55,989 - mmseg - INFO - Iter [149000/160000] lr: 4.125e-06, eta: 1:15:46, time: 0.610, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1428, decode.acc_seg: 75.2586, aux.loss_ce: 0.0671, aux.acc_seg: 74.5313, loss: 0.2099 2023-01-30 10:46:18,216 - mmseg - INFO - Iter [149050/160000] lr: 4.107e-06, eta: 1:15:26, time: 0.443, data_time: 0.052, memory: 12319, decode.loss_ce: 0.1545, decode.acc_seg: 75.7496, aux.loss_ce: 0.0719, aux.acc_seg: 75.0594, loss: 0.2264 2023-01-30 10:46:38,041 - mmseg - INFO - Iter [149100/160000] lr: 4.088e-06, eta: 1:15:05, time: 0.398, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1415, decode.acc_seg: 75.8195, aux.loss_ce: 0.0665, aux.acc_seg: 75.1082, loss: 0.2080 2023-01-30 10:46:57,707 - mmseg - INFO - Iter [149150/160000] lr: 4.069e-06, eta: 1:14:44, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1354, decode.acc_seg: 75.6471, aux.loss_ce: 0.0643, aux.acc_seg: 74.8966, loss: 0.1997 2023-01-30 10:47:17,537 - mmseg - INFO - Iter [149200/160000] lr: 4.050e-06, eta: 1:14:24, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1424, decode.acc_seg: 75.3946, aux.loss_ce: 0.0660, aux.acc_seg: 74.6797, loss: 0.2084 2023-01-30 10:47:37,342 - mmseg - INFO - Iter [149250/160000] lr: 4.032e-06, eta: 1:14:03, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1525, decode.acc_seg: 75.8373, aux.loss_ce: 0.0705, aux.acc_seg: 75.1656, loss: 0.2230 2023-01-30 10:47:57,315 - mmseg - INFO - Iter [149300/160000] lr: 4.013e-06, eta: 1:13:42, time: 0.399, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1556, decode.acc_seg: 76.4219, aux.loss_ce: 0.0724, aux.acc_seg: 75.6498, loss: 0.2280 2023-01-30 10:48:16,806 - mmseg - INFO - Iter [149350/160000] lr: 3.994e-06, eta: 1:13:22, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1441, decode.acc_seg: 74.5970, aux.loss_ce: 0.0676, aux.acc_seg: 73.9053, loss: 0.2117 2023-01-30 10:48:36,511 - mmseg - INFO - Iter [149400/160000] lr: 3.975e-06, eta: 1:13:01, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1542, decode.acc_seg: 76.2602, aux.loss_ce: 0.0715, aux.acc_seg: 75.6182, loss: 0.2257 2023-01-30 10:48:56,379 - mmseg - INFO - Iter [149450/160000] lr: 3.957e-06, eta: 1:12:40, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1514, decode.acc_seg: 74.9489, aux.loss_ce: 0.0709, aux.acc_seg: 74.1376, loss: 0.2223 2023-01-30 10:49:16,214 - mmseg - INFO - Iter [149500/160000] lr: 3.938e-06, eta: 1:12:19, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1434, decode.acc_seg: 75.1582, aux.loss_ce: 0.0667, aux.acc_seg: 74.4460, loss: 0.2101 2023-01-30 10:49:35,782 - mmseg - INFO - Iter [149550/160000] lr: 3.919e-06, eta: 1:11:59, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1430, decode.acc_seg: 76.4285, aux.loss_ce: 0.0672, aux.acc_seg: 75.6823, loss: 0.2101 2023-01-30 10:49:55,687 - mmseg - INFO - Iter [149600/160000] lr: 3.900e-06, eta: 1:11:38, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1460, decode.acc_seg: 75.4610, aux.loss_ce: 0.0684, aux.acc_seg: 74.7262, loss: 0.2144 2023-01-30 10:50:15,370 - mmseg - INFO - Iter [149650/160000] lr: 3.882e-06, eta: 1:11:17, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1354, decode.acc_seg: 75.3851, aux.loss_ce: 0.0638, aux.acc_seg: 74.6724, loss: 0.1992 2023-01-30 10:50:35,134 - mmseg - INFO - Iter [149700/160000] lr: 3.863e-06, eta: 1:10:56, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1476, decode.acc_seg: 76.9779, aux.loss_ce: 0.0689, aux.acc_seg: 76.2771, loss: 0.2165 2023-01-30 10:50:54,726 - mmseg - INFO - Iter [149750/160000] lr: 3.844e-06, eta: 1:10:36, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1408, decode.acc_seg: 74.9889, aux.loss_ce: 0.0656, aux.acc_seg: 74.3609, loss: 0.2065 2023-01-30 10:51:14,621 - mmseg - INFO - Iter [149800/160000] lr: 3.825e-06, eta: 1:10:15, time: 0.398, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1418, decode.acc_seg: 74.8561, aux.loss_ce: 0.0658, aux.acc_seg: 74.1587, loss: 0.2076 2023-01-30 10:51:34,178 - mmseg - INFO - Iter [149850/160000] lr: 3.807e-06, eta: 1:09:54, time: 0.391, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1497, decode.acc_seg: 76.4545, aux.loss_ce: 0.0700, aux.acc_seg: 75.7392, loss: 0.2197 2023-01-30 10:51:53,945 - mmseg - INFO - Iter [149900/160000] lr: 3.788e-06, eta: 1:09:33, time: 0.397, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1438, decode.acc_seg: 75.6875, aux.loss_ce: 0.0671, aux.acc_seg: 74.9668, loss: 0.2108 2023-01-30 10:52:13,611 - mmseg - INFO - Iter [149950/160000] lr: 3.769e-06, eta: 1:09:13, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1437, decode.acc_seg: 75.6267, aux.loss_ce: 0.0678, aux.acc_seg: 74.8360, loss: 0.2115 2023-01-30 10:52:33,624 - mmseg - INFO - Saving checkpoint at 150000 iterations 2023-01-30 10:52:43,845 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 10:52:43,845 - mmseg - INFO - Iter [150000/160000] lr: 3.750e-06, eta: 1:08:53, time: 0.605, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1439, decode.acc_seg: 74.8201, aux.loss_ce: 0.0673, aux.acc_seg: 74.1210, loss: 0.2112 2023-01-30 10:53:03,811 - mmseg - INFO - Iter [150050/160000] lr: 3.732e-06, eta: 1:08:32, time: 0.399, data_time: 0.007, memory: 12319, decode.loss_ce: 0.1521, decode.acc_seg: 77.7989, aux.loss_ce: 0.0708, aux.acc_seg: 77.1282, loss: 0.2229 2023-01-30 10:53:23,351 - mmseg - INFO - Iter [150100/160000] lr: 3.713e-06, eta: 1:08:11, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1399, decode.acc_seg: 76.4667, aux.loss_ce: 0.0658, aux.acc_seg: 75.7528, loss: 0.2057 2023-01-30 10:53:43,015 - mmseg - INFO - Iter [150150/160000] lr: 3.694e-06, eta: 1:07:51, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1457, decode.acc_seg: 75.7211, aux.loss_ce: 0.0678, aux.acc_seg: 75.0234, loss: 0.2135 2023-01-30 10:54:02,463 - mmseg - INFO - Iter [150200/160000] lr: 3.675e-06, eta: 1:07:30, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1510, decode.acc_seg: 75.1423, aux.loss_ce: 0.0710, aux.acc_seg: 74.3626, loss: 0.2220 2023-01-30 10:54:22,134 - mmseg - INFO - Iter [150250/160000] lr: 3.657e-06, eta: 1:07:09, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1554, decode.acc_seg: 75.4295, aux.loss_ce: 0.0724, aux.acc_seg: 74.7135, loss: 0.2278 2023-01-30 10:54:44,361 - mmseg - INFO - Iter [150300/160000] lr: 3.638e-06, eta: 1:06:49, time: 0.445, data_time: 0.050, memory: 12319, decode.loss_ce: 0.1364, decode.acc_seg: 75.8710, aux.loss_ce: 0.0643, aux.acc_seg: 75.1210, loss: 0.2006 2023-01-30 10:55:04,101 - mmseg - INFO - Iter [150350/160000] lr: 3.619e-06, eta: 1:06:28, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1624, decode.acc_seg: 77.7541, aux.loss_ce: 0.0759, aux.acc_seg: 77.0996, loss: 0.2382 2023-01-30 10:55:23,817 - mmseg - INFO - Iter [150400/160000] lr: 3.600e-06, eta: 1:06:07, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1428, decode.acc_seg: 74.5779, aux.loss_ce: 0.0670, aux.acc_seg: 73.8651, loss: 0.2098 2023-01-30 10:55:43,447 - mmseg - INFO - Iter [150450/160000] lr: 3.582e-06, eta: 1:05:46, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1405, decode.acc_seg: 75.0631, aux.loss_ce: 0.0659, aux.acc_seg: 74.3981, loss: 0.2064 2023-01-30 10:56:03,064 - mmseg - INFO - Iter [150500/160000] lr: 3.563e-06, eta: 1:05:26, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1432, decode.acc_seg: 74.9645, aux.loss_ce: 0.0669, aux.acc_seg: 74.3607, loss: 0.2101 2023-01-30 10:56:22,964 - mmseg - INFO - Iter [150550/160000] lr: 3.544e-06, eta: 1:05:05, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1399, decode.acc_seg: 75.6464, aux.loss_ce: 0.0652, aux.acc_seg: 74.9562, loss: 0.2052 2023-01-30 10:56:42,763 - mmseg - INFO - Iter [150600/160000] lr: 3.525e-06, eta: 1:04:44, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1375, decode.acc_seg: 75.1126, aux.loss_ce: 0.0640, aux.acc_seg: 74.4966, loss: 0.2015 2023-01-30 10:57:02,072 - mmseg - INFO - Iter [150650/160000] lr: 3.507e-06, eta: 1:04:23, time: 0.386, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1333, decode.acc_seg: 75.9619, aux.loss_ce: 0.0622, aux.acc_seg: 75.3181, loss: 0.1955 2023-01-30 10:57:21,734 - mmseg - INFO - Iter [150700/160000] lr: 3.488e-06, eta: 1:04:03, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1479, decode.acc_seg: 76.3060, aux.loss_ce: 0.0695, aux.acc_seg: 75.5643, loss: 0.2175 2023-01-30 10:57:41,427 - mmseg - INFO - Iter [150750/160000] lr: 3.469e-06, eta: 1:03:42, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1403, decode.acc_seg: 75.1399, aux.loss_ce: 0.0658, aux.acc_seg: 74.4477, loss: 0.2061 2023-01-30 10:58:01,177 - mmseg - INFO - Iter [150800/160000] lr: 3.450e-06, eta: 1:03:21, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1505, decode.acc_seg: 76.5209, aux.loss_ce: 0.0698, aux.acc_seg: 75.7861, loss: 0.2203 2023-01-30 10:58:20,874 - mmseg - INFO - Iter [150850/160000] lr: 3.432e-06, eta: 1:03:01, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1461, decode.acc_seg: 76.4842, aux.loss_ce: 0.0683, aux.acc_seg: 75.7357, loss: 0.2144 2023-01-30 10:58:40,497 - mmseg - INFO - Iter [150900/160000] lr: 3.413e-06, eta: 1:02:40, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1428, decode.acc_seg: 76.0006, aux.loss_ce: 0.0664, aux.acc_seg: 75.3600, loss: 0.2092 2023-01-30 10:58:59,889 - mmseg - INFO - Iter [150950/160000] lr: 3.394e-06, eta: 1:02:19, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1513, decode.acc_seg: 74.4260, aux.loss_ce: 0.0707, aux.acc_seg: 73.7053, loss: 0.2220 2023-01-30 10:59:19,301 - mmseg - INFO - Saving checkpoint at 151000 iterations 2023-01-30 10:59:30,016 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 10:59:30,018 - mmseg - INFO - Iter [151000/160000] lr: 3.375e-06, eta: 1:01:59, time: 0.602, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1435, decode.acc_seg: 75.0703, aux.loss_ce: 0.0670, aux.acc_seg: 74.3357, loss: 0.2104 2023-01-30 10:59:50,055 - mmseg - INFO - Iter [151050/160000] lr: 3.357e-06, eta: 1:01:38, time: 0.402, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1433, decode.acc_seg: 75.6858, aux.loss_ce: 0.0671, aux.acc_seg: 75.0034, loss: 0.2103 2023-01-30 11:00:09,832 - mmseg - INFO - Iter [151100/160000] lr: 3.338e-06, eta: 1:01:18, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1596, decode.acc_seg: 76.2190, aux.loss_ce: 0.0739, aux.acc_seg: 75.4300, loss: 0.2335 2023-01-30 11:00:29,020 - mmseg - INFO - Iter [151150/160000] lr: 3.319e-06, eta: 1:00:57, time: 0.384, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1488, decode.acc_seg: 75.4178, aux.loss_ce: 0.0685, aux.acc_seg: 74.6648, loss: 0.2173 2023-01-30 11:00:48,503 - mmseg - INFO - Iter [151200/160000] lr: 3.300e-06, eta: 1:00:36, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1427, decode.acc_seg: 75.7625, aux.loss_ce: 0.0670, aux.acc_seg: 75.0736, loss: 0.2096 2023-01-30 11:01:08,057 - mmseg - INFO - Iter [151250/160000] lr: 3.282e-06, eta: 1:00:15, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1532, decode.acc_seg: 75.6193, aux.loss_ce: 0.0719, aux.acc_seg: 74.8332, loss: 0.2250 2023-01-30 11:01:27,592 - mmseg - INFO - Iter [151300/160000] lr: 3.263e-06, eta: 0:59:55, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1560, decode.acc_seg: 74.5989, aux.loss_ce: 0.0731, aux.acc_seg: 73.7097, loss: 0.2292 2023-01-30 11:01:47,296 - mmseg - INFO - Iter [151350/160000] lr: 3.244e-06, eta: 0:59:34, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1379, decode.acc_seg: 77.1209, aux.loss_ce: 0.0651, aux.acc_seg: 76.4019, loss: 0.2030 2023-01-30 11:02:06,667 - mmseg - INFO - Iter [151400/160000] lr: 3.225e-06, eta: 0:59:13, time: 0.387, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1511, decode.acc_seg: 76.7430, aux.loss_ce: 0.0703, aux.acc_seg: 76.0265, loss: 0.2215 2023-01-30 11:02:26,303 - mmseg - INFO - Iter [151450/160000] lr: 3.207e-06, eta: 0:58:52, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1467, decode.acc_seg: 73.2733, aux.loss_ce: 0.0699, aux.acc_seg: 72.4544, loss: 0.2166 2023-01-30 11:02:45,874 - mmseg - INFO - Iter [151500/160000] lr: 3.188e-06, eta: 0:58:32, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1592, decode.acc_seg: 75.4960, aux.loss_ce: 0.0736, aux.acc_seg: 74.8417, loss: 0.2328 2023-01-30 11:03:05,662 - mmseg - INFO - Iter [151550/160000] lr: 3.169e-06, eta: 0:58:11, time: 0.396, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1423, decode.acc_seg: 76.0174, aux.loss_ce: 0.0666, aux.acc_seg: 75.3747, loss: 0.2090 2023-01-30 11:03:27,526 - mmseg - INFO - Iter [151600/160000] lr: 3.150e-06, eta: 0:57:50, time: 0.439, data_time: 0.055, memory: 12319, decode.loss_ce: 0.1419, decode.acc_seg: 76.6409, aux.loss_ce: 0.0661, aux.acc_seg: 75.9640, loss: 0.2081 2023-01-30 11:03:47,557 - mmseg - INFO - Iter [151650/160000] lr: 3.132e-06, eta: 0:57:30, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1548, decode.acc_seg: 75.8457, aux.loss_ce: 0.0725, aux.acc_seg: 75.0735, loss: 0.2273 2023-01-30 11:04:07,509 - mmseg - INFO - Iter [151700/160000] lr: 3.113e-06, eta: 0:57:09, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1465, decode.acc_seg: 75.8314, aux.loss_ce: 0.0685, aux.acc_seg: 75.1645, loss: 0.2150 2023-01-30 11:04:27,664 - mmseg - INFO - Iter [151750/160000] lr: 3.094e-06, eta: 0:56:48, time: 0.404, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1481, decode.acc_seg: 75.5398, aux.loss_ce: 0.0695, aux.acc_seg: 74.8283, loss: 0.2177 2023-01-30 11:04:47,712 - mmseg - INFO - Iter [151800/160000] lr: 3.075e-06, eta: 0:56:28, time: 0.401, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1502, decode.acc_seg: 74.6361, aux.loss_ce: 0.0704, aux.acc_seg: 73.9317, loss: 0.2206 2023-01-30 11:05:07,415 - mmseg - INFO - Iter [151850/160000] lr: 3.057e-06, eta: 0:56:07, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1394, decode.acc_seg: 75.5019, aux.loss_ce: 0.0648, aux.acc_seg: 74.8069, loss: 0.2042 2023-01-30 11:05:27,123 - mmseg - INFO - Iter [151900/160000] lr: 3.038e-06, eta: 0:55:46, time: 0.394, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1418, decode.acc_seg: 76.5182, aux.loss_ce: 0.0664, aux.acc_seg: 75.8456, loss: 0.2082 2023-01-30 11:05:47,108 - mmseg - INFO - Iter [151950/160000] lr: 3.019e-06, eta: 0:55:26, time: 0.402, data_time: 0.007, memory: 12319, decode.loss_ce: 0.1578, decode.acc_seg: 75.5547, aux.loss_ce: 0.0734, aux.acc_seg: 74.8343, loss: 0.2312 2023-01-30 11:06:06,921 - mmseg - INFO - Saving checkpoint at 152000 iterations 2023-01-30 11:06:16,957 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 11:06:16,957 - mmseg - INFO - Iter [152000/160000] lr: 3.000e-06, eta: 0:55:05, time: 0.597, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1497, decode.acc_seg: 76.8758, aux.loss_ce: 0.0694, aux.acc_seg: 76.1505, loss: 0.2191 2023-01-30 11:06:37,085 - mmseg - INFO - Iter [152050/160000] lr: 2.982e-06, eta: 0:54:45, time: 0.403, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1500, decode.acc_seg: 73.8828, aux.loss_ce: 0.0696, aux.acc_seg: 73.2184, loss: 0.2195 2023-01-30 11:06:56,774 - mmseg - INFO - Iter [152100/160000] lr: 2.963e-06, eta: 0:54:24, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1452, decode.acc_seg: 76.5569, aux.loss_ce: 0.0677, aux.acc_seg: 75.8251, loss: 0.2129 2023-01-30 11:07:16,486 - mmseg - INFO - Iter [152150/160000] lr: 2.944e-06, eta: 0:54:03, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1369, decode.acc_seg: 75.3361, aux.loss_ce: 0.0640, aux.acc_seg: 74.6061, loss: 0.2009 2023-01-30 11:07:36,110 - mmseg - INFO - Iter [152200/160000] lr: 2.925e-06, eta: 0:53:43, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1414, decode.acc_seg: 76.2171, aux.loss_ce: 0.0667, aux.acc_seg: 75.4975, loss: 0.2082 2023-01-30 11:07:55,730 - mmseg - INFO - Iter [152250/160000] lr: 2.907e-06, eta: 0:53:22, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1437, decode.acc_seg: 74.8591, aux.loss_ce: 0.0674, aux.acc_seg: 74.1609, loss: 0.2111 2023-01-30 11:08:15,378 - mmseg - INFO - Iter [152300/160000] lr: 2.888e-06, eta: 0:53:01, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1438, decode.acc_seg: 76.1476, aux.loss_ce: 0.0680, aux.acc_seg: 75.3305, loss: 0.2118 2023-01-30 11:08:35,043 - mmseg - INFO - Iter [152350/160000] lr: 2.869e-06, eta: 0:52:40, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1313, decode.acc_seg: 76.0369, aux.loss_ce: 0.0611, aux.acc_seg: 75.3969, loss: 0.1923 2023-01-30 11:08:54,837 - mmseg - INFO - Iter [152400/160000] lr: 2.850e-06, eta: 0:52:20, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1363, decode.acc_seg: 75.7933, aux.loss_ce: 0.0638, aux.acc_seg: 75.1254, loss: 0.2001 2023-01-30 11:09:14,581 - mmseg - INFO - Iter [152450/160000] lr: 2.832e-06, eta: 0:51:59, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1460, decode.acc_seg: 76.0411, aux.loss_ce: 0.0681, aux.acc_seg: 75.3555, loss: 0.2140 2023-01-30 11:09:34,235 - mmseg - INFO - Iter [152500/160000] lr: 2.813e-06, eta: 0:51:38, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1417, decode.acc_seg: 75.3271, aux.loss_ce: 0.0664, aux.acc_seg: 74.5697, loss: 0.2080 2023-01-30 11:09:54,132 - mmseg - INFO - Iter [152550/160000] lr: 2.794e-06, eta: 0:51:18, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1364, decode.acc_seg: 76.0552, aux.loss_ce: 0.0639, aux.acc_seg: 75.3781, loss: 0.2003 2023-01-30 11:10:14,000 - mmseg - INFO - Iter [152600/160000] lr: 2.775e-06, eta: 0:50:57, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1444, decode.acc_seg: 75.8841, aux.loss_ce: 0.0681, aux.acc_seg: 75.1329, loss: 0.2124 2023-01-30 11:10:33,666 - mmseg - INFO - Iter [152650/160000] lr: 2.757e-06, eta: 0:50:36, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1424, decode.acc_seg: 74.5106, aux.loss_ce: 0.0667, aux.acc_seg: 73.8112, loss: 0.2091 2023-01-30 11:10:53,476 - mmseg - INFO - Iter [152700/160000] lr: 2.738e-06, eta: 0:50:15, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1384, decode.acc_seg: 75.5513, aux.loss_ce: 0.0645, aux.acc_seg: 74.8884, loss: 0.2030 2023-01-30 11:11:13,115 - mmseg - INFO - Iter [152750/160000] lr: 2.719e-06, eta: 0:49:55, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1412, decode.acc_seg: 78.0200, aux.loss_ce: 0.0667, aux.acc_seg: 77.2486, loss: 0.2079 2023-01-30 11:11:32,813 - mmseg - INFO - Iter [152800/160000] lr: 2.700e-06, eta: 0:49:34, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1447, decode.acc_seg: 75.9217, aux.loss_ce: 0.0674, aux.acc_seg: 75.2674, loss: 0.2121 2023-01-30 11:11:55,132 - mmseg - INFO - Iter [152850/160000] lr: 2.682e-06, eta: 0:49:14, time: 0.446, data_time: 0.053, memory: 12319, decode.loss_ce: 0.1448, decode.acc_seg: 77.5347, aux.loss_ce: 0.0679, aux.acc_seg: 76.7695, loss: 0.2127 2023-01-30 11:12:14,740 - mmseg - INFO - Iter [152900/160000] lr: 2.663e-06, eta: 0:48:53, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1409, decode.acc_seg: 75.7576, aux.loss_ce: 0.0667, aux.acc_seg: 75.0052, loss: 0.2076 2023-01-30 11:12:34,530 - mmseg - INFO - Iter [152950/160000] lr: 2.644e-06, eta: 0:48:32, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1352, decode.acc_seg: 76.6276, aux.loss_ce: 0.0635, aux.acc_seg: 75.9492, loss: 0.1988 2023-01-30 11:12:54,409 - mmseg - INFO - Saving checkpoint at 153000 iterations 2023-01-30 11:13:05,251 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 11:13:05,257 - mmseg - INFO - Iter [153000/160000] lr: 2.625e-06, eta: 0:48:12, time: 0.613, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1432, decode.acc_seg: 75.5145, aux.loss_ce: 0.0678, aux.acc_seg: 74.6968, loss: 0.2110 2023-01-30 11:13:25,328 - mmseg - INFO - Iter [153050/160000] lr: 2.607e-06, eta: 0:47:51, time: 0.403, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1486, decode.acc_seg: 76.9431, aux.loss_ce: 0.0687, aux.acc_seg: 76.2371, loss: 0.2173 2023-01-30 11:13:44,755 - mmseg - INFO - Iter [153100/160000] lr: 2.588e-06, eta: 0:47:31, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1442, decode.acc_seg: 77.2242, aux.loss_ce: 0.0680, aux.acc_seg: 76.4617, loss: 0.2122 2023-01-30 11:14:04,317 - mmseg - INFO - Iter [153150/160000] lr: 2.569e-06, eta: 0:47:10, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1460, decode.acc_seg: 76.3905, aux.loss_ce: 0.0690, aux.acc_seg: 75.5221, loss: 0.2150 2023-01-30 11:14:24,089 - mmseg - INFO - Iter [153200/160000] lr: 2.550e-06, eta: 0:46:49, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1488, decode.acc_seg: 74.1886, aux.loss_ce: 0.0690, aux.acc_seg: 73.5259, loss: 0.2178 2023-01-30 11:14:43,891 - mmseg - INFO - Iter [153250/160000] lr: 2.532e-06, eta: 0:46:28, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1377, decode.acc_seg: 76.4795, aux.loss_ce: 0.0640, aux.acc_seg: 75.8030, loss: 0.2017 2023-01-30 11:15:03,552 - mmseg - INFO - Iter [153300/160000] lr: 2.513e-06, eta: 0:46:08, time: 0.393, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1496, decode.acc_seg: 76.0498, aux.loss_ce: 0.0702, aux.acc_seg: 75.3227, loss: 0.2197 2023-01-30 11:15:23,126 - mmseg - INFO - Iter [153350/160000] lr: 2.494e-06, eta: 0:45:47, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1457, decode.acc_seg: 75.5563, aux.loss_ce: 0.0685, aux.acc_seg: 74.7701, loss: 0.2141 2023-01-30 11:15:43,073 - mmseg - INFO - Iter [153400/160000] lr: 2.475e-06, eta: 0:45:26, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1487, decode.acc_seg: 75.7494, aux.loss_ce: 0.0689, aux.acc_seg: 75.0204, loss: 0.2176 2023-01-30 11:16:02,684 - mmseg - INFO - Iter [153450/160000] lr: 2.457e-06, eta: 0:45:06, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1429, decode.acc_seg: 75.7984, aux.loss_ce: 0.0679, aux.acc_seg: 75.0437, loss: 0.2107 2023-01-30 11:16:22,126 - mmseg - INFO - Iter [153500/160000] lr: 2.438e-06, eta: 0:44:45, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1386, decode.acc_seg: 76.8581, aux.loss_ce: 0.0665, aux.acc_seg: 75.9767, loss: 0.2050 2023-01-30 11:16:41,700 - mmseg - INFO - Iter [153550/160000] lr: 2.419e-06, eta: 0:44:24, time: 0.391, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1415, decode.acc_seg: 77.2391, aux.loss_ce: 0.0668, aux.acc_seg: 76.4549, loss: 0.2083 2023-01-30 11:17:01,213 - mmseg - INFO - Iter [153600/160000] lr: 2.400e-06, eta: 0:44:03, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1533, decode.acc_seg: 75.6642, aux.loss_ce: 0.0725, aux.acc_seg: 74.9359, loss: 0.2258 2023-01-30 11:17:21,043 - mmseg - INFO - Iter [153650/160000] lr: 2.382e-06, eta: 0:43:43, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1381, decode.acc_seg: 74.5285, aux.loss_ce: 0.0635, aux.acc_seg: 73.8766, loss: 0.2016 2023-01-30 11:17:40,555 - mmseg - INFO - Iter [153700/160000] lr: 2.363e-06, eta: 0:43:22, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1503, decode.acc_seg: 75.2293, aux.loss_ce: 0.0704, aux.acc_seg: 74.4537, loss: 0.2207 2023-01-30 11:18:00,074 - mmseg - INFO - Iter [153750/160000] lr: 2.344e-06, eta: 0:43:01, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1481, decode.acc_seg: 76.0964, aux.loss_ce: 0.0688, aux.acc_seg: 75.3850, loss: 0.2168 2023-01-30 11:18:19,712 - mmseg - INFO - Iter [153800/160000] lr: 2.325e-06, eta: 0:42:41, time: 0.393, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1422, decode.acc_seg: 75.9126, aux.loss_ce: 0.0671, aux.acc_seg: 75.1865, loss: 0.2094 2023-01-30 11:18:39,404 - mmseg - INFO - Iter [153850/160000] lr: 2.307e-06, eta: 0:42:20, time: 0.396, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1412, decode.acc_seg: 76.2435, aux.loss_ce: 0.0672, aux.acc_seg: 75.4597, loss: 0.2083 2023-01-30 11:18:59,057 - mmseg - INFO - Iter [153900/160000] lr: 2.288e-06, eta: 0:41:59, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1370, decode.acc_seg: 74.8828, aux.loss_ce: 0.0639, aux.acc_seg: 74.1825, loss: 0.2010 2023-01-30 11:19:18,754 - mmseg - INFO - Iter [153950/160000] lr: 2.269e-06, eta: 0:41:39, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1397, decode.acc_seg: 76.4399, aux.loss_ce: 0.0649, aux.acc_seg: 75.7862, loss: 0.2046 2023-01-30 11:19:38,478 - mmseg - INFO - Saving checkpoint at 154000 iterations 2023-01-30 11:19:49,075 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 11:19:49,075 - mmseg - INFO - Iter [154000/160000] lr: 2.250e-06, eta: 0:41:18, time: 0.606, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1351, decode.acc_seg: 75.3960, aux.loss_ce: 0.0636, aux.acc_seg: 74.6335, loss: 0.1987 2023-01-30 11:20:08,593 - mmseg - INFO - Iter [154050/160000] lr: 2.232e-06, eta: 0:40:58, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1542, decode.acc_seg: 75.1037, aux.loss_ce: 0.0726, aux.acc_seg: 74.3570, loss: 0.2267 2023-01-30 11:20:31,144 - mmseg - INFO - Iter [154100/160000] lr: 2.213e-06, eta: 0:40:37, time: 0.451, data_time: 0.054, memory: 12319, decode.loss_ce: 0.1454, decode.acc_seg: 75.7910, aux.loss_ce: 0.0689, aux.acc_seg: 74.9775, loss: 0.2142 2023-01-30 11:20:50,830 - mmseg - INFO - Iter [154150/160000] lr: 2.194e-06, eta: 0:40:16, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1412, decode.acc_seg: 75.5698, aux.loss_ce: 0.0662, aux.acc_seg: 74.7680, loss: 0.2074 2023-01-30 11:21:10,519 - mmseg - INFO - Iter [154200/160000] lr: 2.175e-06, eta: 0:39:56, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1377, decode.acc_seg: 76.0524, aux.loss_ce: 0.0644, aux.acc_seg: 75.3130, loss: 0.2022 2023-01-30 11:21:30,214 - mmseg - INFO - Iter [154250/160000] lr: 2.157e-06, eta: 0:39:35, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1412, decode.acc_seg: 75.9735, aux.loss_ce: 0.0669, aux.acc_seg: 75.1994, loss: 0.2081 2023-01-30 11:21:49,880 - mmseg - INFO - Iter [154300/160000] lr: 2.138e-06, eta: 0:39:14, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1431, decode.acc_seg: 75.0646, aux.loss_ce: 0.0672, aux.acc_seg: 74.3949, loss: 0.2103 2023-01-30 11:22:09,353 - mmseg - INFO - Iter [154350/160000] lr: 2.119e-06, eta: 0:38:54, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1418, decode.acc_seg: 75.3459, aux.loss_ce: 0.0661, aux.acc_seg: 74.6014, loss: 0.2079 2023-01-30 11:22:28,782 - mmseg - INFO - Iter [154400/160000] lr: 2.100e-06, eta: 0:38:33, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1536, decode.acc_seg: 75.8224, aux.loss_ce: 0.0733, aux.acc_seg: 74.9655, loss: 0.2269 2023-01-30 11:22:48,409 - mmseg - INFO - Iter [154450/160000] lr: 2.082e-06, eta: 0:38:12, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1367, decode.acc_seg: 76.0887, aux.loss_ce: 0.0644, aux.acc_seg: 75.3363, loss: 0.2011 2023-01-30 11:23:07,904 - mmseg - INFO - Iter [154500/160000] lr: 2.063e-06, eta: 0:37:51, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1375, decode.acc_seg: 76.0857, aux.loss_ce: 0.0662, aux.acc_seg: 75.2897, loss: 0.2037 2023-01-30 11:23:27,495 - mmseg - INFO - Iter [154550/160000] lr: 2.044e-06, eta: 0:37:31, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1372, decode.acc_seg: 77.1964, aux.loss_ce: 0.0642, aux.acc_seg: 76.4673, loss: 0.2014 2023-01-30 11:23:47,067 - mmseg - INFO - Iter [154600/160000] lr: 2.025e-06, eta: 0:37:10, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1434, decode.acc_seg: 76.0521, aux.loss_ce: 0.0670, aux.acc_seg: 75.3507, loss: 0.2103 2023-01-30 11:24:06,480 - mmseg - INFO - Iter [154650/160000] lr: 2.007e-06, eta: 0:36:49, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1376, decode.acc_seg: 75.8752, aux.loss_ce: 0.0647, aux.acc_seg: 75.1292, loss: 0.2024 2023-01-30 11:24:25,912 - mmseg - INFO - Iter [154700/160000] lr: 1.988e-06, eta: 0:36:29, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1387, decode.acc_seg: 77.0884, aux.loss_ce: 0.0648, aux.acc_seg: 76.4288, loss: 0.2036 2023-01-30 11:24:45,308 - mmseg - INFO - Iter [154750/160000] lr: 1.969e-06, eta: 0:36:08, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1502, decode.acc_seg: 76.2838, aux.loss_ce: 0.0691, aux.acc_seg: 75.5853, loss: 0.2193 2023-01-30 11:25:04,841 - mmseg - INFO - Iter [154800/160000] lr: 1.950e-06, eta: 0:35:47, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1480, decode.acc_seg: 75.6432, aux.loss_ce: 0.0689, aux.acc_seg: 74.9490, loss: 0.2168 2023-01-30 11:25:24,435 - mmseg - INFO - Iter [154850/160000] lr: 1.932e-06, eta: 0:35:27, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1468, decode.acc_seg: 76.0672, aux.loss_ce: 0.0691, aux.acc_seg: 75.3477, loss: 0.2159 2023-01-30 11:25:43,725 - mmseg - INFO - Iter [154900/160000] lr: 1.913e-06, eta: 0:35:06, time: 0.386, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1497, decode.acc_seg: 75.5880, aux.loss_ce: 0.0707, aux.acc_seg: 74.8213, loss: 0.2203 2023-01-30 11:26:03,284 - mmseg - INFO - Iter [154950/160000] lr: 1.894e-06, eta: 0:34:45, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1390, decode.acc_seg: 76.9393, aux.loss_ce: 0.0647, aux.acc_seg: 76.2763, loss: 0.2037 2023-01-30 11:26:22,797 - mmseg - INFO - Saving checkpoint at 155000 iterations 2023-01-30 11:26:33,101 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 11:26:33,101 - mmseg - INFO - Iter [155000/160000] lr: 1.875e-06, eta: 0:34:25, time: 0.595, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1446, decode.acc_seg: 75.2222, aux.loss_ce: 0.0670, aux.acc_seg: 74.5548, loss: 0.2117 2023-01-30 11:26:53,291 - mmseg - INFO - Iter [155050/160000] lr: 1.857e-06, eta: 0:34:04, time: 0.405, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1426, decode.acc_seg: 77.3563, aux.loss_ce: 0.0674, aux.acc_seg: 76.6113, loss: 0.2100 2023-01-30 11:27:12,706 - mmseg - INFO - Iter [155100/160000] lr: 1.838e-06, eta: 0:33:44, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1420, decode.acc_seg: 76.1122, aux.loss_ce: 0.0662, aux.acc_seg: 75.4545, loss: 0.2082 2023-01-30 11:27:32,616 - mmseg - INFO - Iter [155150/160000] lr: 1.819e-06, eta: 0:33:23, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1492, decode.acc_seg: 75.0622, aux.loss_ce: 0.0692, aux.acc_seg: 74.3560, loss: 0.2184 2023-01-30 11:27:52,158 - mmseg - INFO - Iter [155200/160000] lr: 1.800e-06, eta: 0:33:02, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1489, decode.acc_seg: 75.8686, aux.loss_ce: 0.0701, aux.acc_seg: 75.1001, loss: 0.2190 2023-01-30 11:28:11,956 - mmseg - INFO - Iter [155250/160000] lr: 1.782e-06, eta: 0:32:42, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1423, decode.acc_seg: 77.4324, aux.loss_ce: 0.0668, aux.acc_seg: 76.7145, loss: 0.2092 2023-01-30 11:28:31,584 - mmseg - INFO - Iter [155300/160000] lr: 1.763e-06, eta: 0:32:21, time: 0.392, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1481, decode.acc_seg: 76.2154, aux.loss_ce: 0.0695, aux.acc_seg: 75.4137, loss: 0.2177 2023-01-30 11:28:53,605 - mmseg - INFO - Iter [155350/160000] lr: 1.744e-06, eta: 0:32:00, time: 0.443, data_time: 0.056, memory: 12319, decode.loss_ce: 0.1437, decode.acc_seg: 75.4195, aux.loss_ce: 0.0670, aux.acc_seg: 74.7275, loss: 0.2107 2023-01-30 11:29:13,513 - mmseg - INFO - Iter [155400/160000] lr: 1.725e-06, eta: 0:31:40, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1500, decode.acc_seg: 75.5712, aux.loss_ce: 0.0701, aux.acc_seg: 74.8353, loss: 0.2201 2023-01-30 11:29:33,031 - mmseg - INFO - Iter [155450/160000] lr: 1.707e-06, eta: 0:31:19, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1382, decode.acc_seg: 76.3625, aux.loss_ce: 0.0648, aux.acc_seg: 75.6563, loss: 0.2030 2023-01-30 11:29:52,717 - mmseg - INFO - Iter [155500/160000] lr: 1.688e-06, eta: 0:30:58, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1444, decode.acc_seg: 75.1646, aux.loss_ce: 0.0677, aux.acc_seg: 74.4320, loss: 0.2121 2023-01-30 11:30:12,561 - mmseg - INFO - Iter [155550/160000] lr: 1.669e-06, eta: 0:30:37, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1362, decode.acc_seg: 75.0177, aux.loss_ce: 0.0644, aux.acc_seg: 74.3386, loss: 0.2006 2023-01-30 11:30:32,206 - mmseg - INFO - Iter [155600/160000] lr: 1.650e-06, eta: 0:30:17, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1471, decode.acc_seg: 76.7914, aux.loss_ce: 0.0685, aux.acc_seg: 76.1022, loss: 0.2155 2023-01-30 11:30:52,052 - mmseg - INFO - Iter [155650/160000] lr: 1.632e-06, eta: 0:29:56, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1492, decode.acc_seg: 75.6352, aux.loss_ce: 0.0698, aux.acc_seg: 74.8568, loss: 0.2190 2023-01-30 11:31:11,680 - mmseg - INFO - Iter [155700/160000] lr: 1.613e-06, eta: 0:29:35, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1422, decode.acc_seg: 75.2333, aux.loss_ce: 0.0662, aux.acc_seg: 74.5292, loss: 0.2085 2023-01-30 11:31:31,397 - mmseg - INFO - Iter [155750/160000] lr: 1.594e-06, eta: 0:29:15, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1444, decode.acc_seg: 77.4523, aux.loss_ce: 0.0672, aux.acc_seg: 76.7871, loss: 0.2116 2023-01-30 11:31:50,985 - mmseg - INFO - Iter [155800/160000] lr: 1.575e-06, eta: 0:28:54, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1460, decode.acc_seg: 75.0773, aux.loss_ce: 0.0695, aux.acc_seg: 74.2757, loss: 0.2155 2023-01-30 11:32:10,512 - mmseg - INFO - Iter [155850/160000] lr: 1.557e-06, eta: 0:28:33, time: 0.393, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1362, decode.acc_seg: 75.7195, aux.loss_ce: 0.0636, aux.acc_seg: 75.0740, loss: 0.1998 2023-01-30 11:32:30,124 - mmseg - INFO - Iter [155900/160000] lr: 1.538e-06, eta: 0:28:13, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1455, decode.acc_seg: 75.5281, aux.loss_ce: 0.0685, aux.acc_seg: 74.7410, loss: 0.2141 2023-01-30 11:32:49,768 - mmseg - INFO - Iter [155950/160000] lr: 1.519e-06, eta: 0:27:52, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1375, decode.acc_seg: 76.6368, aux.loss_ce: 0.0647, aux.acc_seg: 75.9335, loss: 0.2022 2023-01-30 11:33:09,367 - mmseg - INFO - Saving checkpoint at 156000 iterations 2023-01-30 11:33:20,271 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 11:33:20,274 - mmseg - INFO - Iter [156000/160000] lr: 1.500e-06, eta: 0:27:32, time: 0.610, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1458, decode.acc_seg: 76.0354, aux.loss_ce: 0.0689, aux.acc_seg: 75.2259, loss: 0.2147 2023-01-30 11:33:40,605 - mmseg - INFO - Iter [156050/160000] lr: 1.482e-06, eta: 0:27:11, time: 0.407, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1493, decode.acc_seg: 76.5104, aux.loss_ce: 0.0706, aux.acc_seg: 75.7304, loss: 0.2199 2023-01-30 11:34:00,335 - mmseg - INFO - Iter [156100/160000] lr: 1.463e-06, eta: 0:26:50, time: 0.395, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1404, decode.acc_seg: 75.1661, aux.loss_ce: 0.0658, aux.acc_seg: 74.4304, loss: 0.2062 2023-01-30 11:34:20,171 - mmseg - INFO - Iter [156150/160000] lr: 1.444e-06, eta: 0:26:30, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1411, decode.acc_seg: 73.5981, aux.loss_ce: 0.0661, aux.acc_seg: 72.8818, loss: 0.2072 2023-01-30 11:34:39,831 - mmseg - INFO - Iter [156200/160000] lr: 1.425e-06, eta: 0:26:09, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1378, decode.acc_seg: 76.1607, aux.loss_ce: 0.0646, aux.acc_seg: 75.4536, loss: 0.2024 2023-01-30 11:34:59,336 - mmseg - INFO - Iter [156250/160000] lr: 1.407e-06, eta: 0:25:48, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1494, decode.acc_seg: 75.6592, aux.loss_ce: 0.0693, aux.acc_seg: 74.9666, loss: 0.2187 2023-01-30 11:35:19,165 - mmseg - INFO - Iter [156300/160000] lr: 1.388e-06, eta: 0:25:28, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1480, decode.acc_seg: 73.7174, aux.loss_ce: 0.0694, aux.acc_seg: 73.0017, loss: 0.2174 2023-01-30 11:35:38,821 - mmseg - INFO - Iter [156350/160000] lr: 1.369e-06, eta: 0:25:07, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1452, decode.acc_seg: 75.6283, aux.loss_ce: 0.0688, aux.acc_seg: 74.8803, loss: 0.2140 2023-01-30 11:35:58,222 - mmseg - INFO - Iter [156400/160000] lr: 1.350e-06, eta: 0:24:46, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1499, decode.acc_seg: 76.6515, aux.loss_ce: 0.0715, aux.acc_seg: 75.7847, loss: 0.2214 2023-01-30 11:36:17,658 - mmseg - INFO - Iter [156450/160000] lr: 1.332e-06, eta: 0:24:26, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1321, decode.acc_seg: 74.9931, aux.loss_ce: 0.0621, aux.acc_seg: 74.2753, loss: 0.1942 2023-01-30 11:36:36,941 - mmseg - INFO - Iter [156500/160000] lr: 1.313e-06, eta: 0:24:05, time: 0.386, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1378, decode.acc_seg: 76.4535, aux.loss_ce: 0.0650, aux.acc_seg: 75.7436, loss: 0.2028 2023-01-30 11:36:56,743 - mmseg - INFO - Iter [156550/160000] lr: 1.294e-06, eta: 0:23:44, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1404, decode.acc_seg: 77.3621, aux.loss_ce: 0.0659, aux.acc_seg: 76.6118, loss: 0.2063 2023-01-30 11:37:16,531 - mmseg - INFO - Iter [156600/160000] lr: 1.275e-06, eta: 0:23:24, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1406, decode.acc_seg: 76.9568, aux.loss_ce: 0.0664, aux.acc_seg: 76.2083, loss: 0.2070 2023-01-30 11:37:38,480 - mmseg - INFO - Iter [156650/160000] lr: 1.257e-06, eta: 0:23:03, time: 0.439, data_time: 0.051, memory: 12319, decode.loss_ce: 0.1455, decode.acc_seg: 75.4850, aux.loss_ce: 0.0671, aux.acc_seg: 74.7970, loss: 0.2126 2023-01-30 11:37:58,225 - mmseg - INFO - Iter [156700/160000] lr: 1.238e-06, eta: 0:22:42, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1459, decode.acc_seg: 75.4633, aux.loss_ce: 0.0682, aux.acc_seg: 74.8104, loss: 0.2141 2023-01-30 11:38:17,732 - mmseg - INFO - Iter [156750/160000] lr: 1.219e-06, eta: 0:22:22, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1461, decode.acc_seg: 76.7474, aux.loss_ce: 0.0687, aux.acc_seg: 75.9966, loss: 0.2148 2023-01-30 11:38:37,391 - mmseg - INFO - Iter [156800/160000] lr: 1.200e-06, eta: 0:22:01, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1412, decode.acc_seg: 75.0983, aux.loss_ce: 0.0664, aux.acc_seg: 74.3352, loss: 0.2077 2023-01-30 11:38:57,562 - mmseg - INFO - Iter [156850/160000] lr: 1.182e-06, eta: 0:21:40, time: 0.405, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1472, decode.acc_seg: 76.0658, aux.loss_ce: 0.0692, aux.acc_seg: 75.3190, loss: 0.2164 2023-01-30 11:39:17,423 - mmseg - INFO - Iter [156900/160000] lr: 1.163e-06, eta: 0:21:20, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1446, decode.acc_seg: 75.9008, aux.loss_ce: 0.0676, aux.acc_seg: 75.2180, loss: 0.2121 2023-01-30 11:39:37,212 - mmseg - INFO - Iter [156950/160000] lr: 1.144e-06, eta: 0:20:59, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1354, decode.acc_seg: 74.6779, aux.loss_ce: 0.0636, aux.acc_seg: 73.9904, loss: 0.1990 2023-01-30 11:39:56,818 - mmseg - INFO - Saving checkpoint at 157000 iterations 2023-01-30 11:40:06,727 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 11:40:06,728 - mmseg - INFO - Iter [157000/160000] lr: 1.125e-06, eta: 0:20:39, time: 0.590, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1379, decode.acc_seg: 76.7909, aux.loss_ce: 0.0650, aux.acc_seg: 76.0591, loss: 0.2029 2023-01-30 11:40:26,569 - mmseg - INFO - Iter [157050/160000] lr: 1.107e-06, eta: 0:20:18, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1424, decode.acc_seg: 76.4786, aux.loss_ce: 0.0675, aux.acc_seg: 75.7575, loss: 0.2099 2023-01-30 11:40:45,963 - mmseg - INFO - Iter [157100/160000] lr: 1.088e-06, eta: 0:19:57, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1605, decode.acc_seg: 75.6693, aux.loss_ce: 0.0735, aux.acc_seg: 75.0105, loss: 0.2340 2023-01-30 11:41:05,394 - mmseg - INFO - Iter [157150/160000] lr: 1.069e-06, eta: 0:19:36, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1448, decode.acc_seg: 76.3324, aux.loss_ce: 0.0682, aux.acc_seg: 75.5717, loss: 0.2130 2023-01-30 11:41:24,803 - mmseg - INFO - Iter [157200/160000] lr: 1.050e-06, eta: 0:19:16, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1410, decode.acc_seg: 76.1918, aux.loss_ce: 0.0662, aux.acc_seg: 75.4563, loss: 0.2072 2023-01-30 11:41:44,375 - mmseg - INFO - Iter [157250/160000] lr: 1.032e-06, eta: 0:18:55, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1423, decode.acc_seg: 75.1237, aux.loss_ce: 0.0665, aux.acc_seg: 74.4409, loss: 0.2088 2023-01-30 11:42:03,848 - mmseg - INFO - Iter [157300/160000] lr: 1.013e-06, eta: 0:18:34, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1311, decode.acc_seg: 75.5696, aux.loss_ce: 0.0624, aux.acc_seg: 74.8685, loss: 0.1935 2023-01-30 11:42:23,651 - mmseg - INFO - Iter [157350/160000] lr: 9.941e-07, eta: 0:18:14, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1384, decode.acc_seg: 75.7409, aux.loss_ce: 0.0648, aux.acc_seg: 75.0818, loss: 0.2032 2023-01-30 11:42:43,467 - mmseg - INFO - Iter [157400/160000] lr: 9.754e-07, eta: 0:17:53, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1472, decode.acc_seg: 74.6277, aux.loss_ce: 0.0692, aux.acc_seg: 73.9192, loss: 0.2164 2023-01-30 11:43:03,251 - mmseg - INFO - Iter [157450/160000] lr: 9.566e-07, eta: 0:17:33, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1403, decode.acc_seg: 76.3648, aux.loss_ce: 0.0656, aux.acc_seg: 75.6810, loss: 0.2059 2023-01-30 11:43:22,957 - mmseg - INFO - Iter [157500/160000] lr: 9.379e-07, eta: 0:17:12, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1407, decode.acc_seg: 74.7426, aux.loss_ce: 0.0664, aux.acc_seg: 74.0320, loss: 0.2072 2023-01-30 11:43:42,550 - mmseg - INFO - Iter [157550/160000] lr: 9.191e-07, eta: 0:16:51, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1461, decode.acc_seg: 75.1991, aux.loss_ce: 0.0691, aux.acc_seg: 74.4831, loss: 0.2152 2023-01-30 11:44:02,379 - mmseg - INFO - Iter [157600/160000] lr: 9.004e-07, eta: 0:16:31, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1410, decode.acc_seg: 74.9182, aux.loss_ce: 0.0662, aux.acc_seg: 74.1967, loss: 0.2072 2023-01-30 11:44:22,115 - mmseg - INFO - Iter [157650/160000] lr: 8.816e-07, eta: 0:16:10, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1412, decode.acc_seg: 75.4644, aux.loss_ce: 0.0657, aux.acc_seg: 74.7767, loss: 0.2069 2023-01-30 11:44:41,707 - mmseg - INFO - Iter [157700/160000] lr: 8.629e-07, eta: 0:15:49, time: 0.394, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1442, decode.acc_seg: 76.3803, aux.loss_ce: 0.0681, aux.acc_seg: 75.6045, loss: 0.2124 2023-01-30 11:45:01,135 - mmseg - INFO - Iter [157750/160000] lr: 8.441e-07, eta: 0:15:29, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1344, decode.acc_seg: 76.3011, aux.loss_ce: 0.0631, aux.acc_seg: 75.5741, loss: 0.1975 2023-01-30 11:45:20,608 - mmseg - INFO - Iter [157800/160000] lr: 8.254e-07, eta: 0:15:08, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1425, decode.acc_seg: 76.5466, aux.loss_ce: 0.0674, aux.acc_seg: 75.7825, loss: 0.2098 2023-01-30 11:45:40,472 - mmseg - INFO - Iter [157850/160000] lr: 8.066e-07, eta: 0:14:47, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1441, decode.acc_seg: 76.9089, aux.loss_ce: 0.0671, aux.acc_seg: 76.2057, loss: 0.2113 2023-01-30 11:46:02,472 - mmseg - INFO - Iter [157900/160000] lr: 7.879e-07, eta: 0:14:27, time: 0.439, data_time: 0.051, memory: 12319, decode.loss_ce: 0.1383, decode.acc_seg: 75.8666, aux.loss_ce: 0.0648, aux.acc_seg: 75.1643, loss: 0.2030 2023-01-30 11:46:22,308 - mmseg - INFO - Iter [157950/160000] lr: 7.691e-07, eta: 0:14:06, time: 0.397, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1448, decode.acc_seg: 75.5583, aux.loss_ce: 0.0680, aux.acc_seg: 74.7515, loss: 0.2128 2023-01-30 11:46:42,088 - mmseg - INFO - Saving checkpoint at 158000 iterations 2023-01-30 11:46:52,405 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 11:46:52,405 - mmseg - INFO - Iter [158000/160000] lr: 7.504e-07, eta: 0:13:45, time: 0.602, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1507, decode.acc_seg: 74.6642, aux.loss_ce: 0.0702, aux.acc_seg: 74.0234, loss: 0.2209 2023-01-30 11:47:12,054 - mmseg - INFO - Iter [158050/160000] lr: 7.316e-07, eta: 0:13:25, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1305, decode.acc_seg: 76.1367, aux.loss_ce: 0.0615, aux.acc_seg: 75.4146, loss: 0.1920 2023-01-30 11:47:32,340 - mmseg - INFO - Iter [158100/160000] lr: 7.129e-07, eta: 0:13:04, time: 0.406, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1487, decode.acc_seg: 75.2589, aux.loss_ce: 0.0704, aux.acc_seg: 74.5228, loss: 0.2191 2023-01-30 11:47:51,846 - mmseg - INFO - Iter [158150/160000] lr: 6.941e-07, eta: 0:12:43, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1429, decode.acc_seg: 76.2706, aux.loss_ce: 0.0671, aux.acc_seg: 75.5143, loss: 0.2101 2023-01-30 11:48:11,424 - mmseg - INFO - Iter [158200/160000] lr: 6.754e-07, eta: 0:12:23, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1429, decode.acc_seg: 74.6608, aux.loss_ce: 0.0669, aux.acc_seg: 73.9781, loss: 0.2098 2023-01-30 11:48:31,297 - mmseg - INFO - Iter [158250/160000] lr: 6.566e-07, eta: 0:12:02, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1389, decode.acc_seg: 76.8049, aux.loss_ce: 0.0653, aux.acc_seg: 76.0754, loss: 0.2042 2023-01-30 11:48:50,799 - mmseg - INFO - Iter [158300/160000] lr: 6.379e-07, eta: 0:11:41, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1406, decode.acc_seg: 76.4844, aux.loss_ce: 0.0660, aux.acc_seg: 75.7702, loss: 0.2067 2023-01-30 11:49:10,403 - mmseg - INFO - Iter [158350/160000] lr: 6.191e-07, eta: 0:11:21, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1487, decode.acc_seg: 75.0914, aux.loss_ce: 0.0697, aux.acc_seg: 74.3163, loss: 0.2183 2023-01-30 11:49:30,072 - mmseg - INFO - Iter [158400/160000] lr: 6.004e-07, eta: 0:11:00, time: 0.393, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1418, decode.acc_seg: 75.1028, aux.loss_ce: 0.0666, aux.acc_seg: 74.3817, loss: 0.2084 2023-01-30 11:49:49,743 - mmseg - INFO - Iter [158450/160000] lr: 5.816e-07, eta: 0:10:39, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1465, decode.acc_seg: 75.6401, aux.loss_ce: 0.0680, aux.acc_seg: 74.9349, loss: 0.2145 2023-01-30 11:50:09,194 - mmseg - INFO - Iter [158500/160000] lr: 5.629e-07, eta: 0:10:19, time: 0.389, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1379, decode.acc_seg: 76.9673, aux.loss_ce: 0.0645, aux.acc_seg: 76.2096, loss: 0.2024 2023-01-30 11:50:28,804 - mmseg - INFO - Iter [158550/160000] lr: 5.441e-07, eta: 0:09:58, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1364, decode.acc_seg: 75.5666, aux.loss_ce: 0.0639, aux.acc_seg: 74.8987, loss: 0.2002 2023-01-30 11:50:48,833 - mmseg - INFO - Iter [158600/160000] lr: 5.254e-07, eta: 0:09:38, time: 0.401, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1547, decode.acc_seg: 76.0355, aux.loss_ce: 0.0721, aux.acc_seg: 75.2948, loss: 0.2269 2023-01-30 11:51:08,847 - mmseg - INFO - Iter [158650/160000] lr: 5.066e-07, eta: 0:09:17, time: 0.398, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1366, decode.acc_seg: 75.6934, aux.loss_ce: 0.0634, aux.acc_seg: 75.0562, loss: 0.2000 2023-01-30 11:51:28,399 - mmseg - INFO - Iter [158700/160000] lr: 4.879e-07, eta: 0:08:56, time: 0.393, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1399, decode.acc_seg: 75.4934, aux.loss_ce: 0.0654, aux.acc_seg: 74.8206, loss: 0.2053 2023-01-30 11:51:48,028 - mmseg - INFO - Iter [158750/160000] lr: 4.691e-07, eta: 0:08:36, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1379, decode.acc_seg: 76.2827, aux.loss_ce: 0.0649, aux.acc_seg: 75.6153, loss: 0.2028 2023-01-30 11:52:08,037 - mmseg - INFO - Iter [158800/160000] lr: 4.504e-07, eta: 0:08:15, time: 0.400, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1400, decode.acc_seg: 76.7042, aux.loss_ce: 0.0661, aux.acc_seg: 75.9403, loss: 0.2061 2023-01-30 11:52:27,785 - mmseg - INFO - Iter [158850/160000] lr: 4.316e-07, eta: 0:07:54, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1385, decode.acc_seg: 75.3074, aux.loss_ce: 0.0651, aux.acc_seg: 74.5929, loss: 0.2036 2023-01-30 11:52:47,420 - mmseg - INFO - Iter [158900/160000] lr: 4.129e-07, eta: 0:07:34, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1400, decode.acc_seg: 75.9321, aux.loss_ce: 0.0663, aux.acc_seg: 75.1615, loss: 0.2063 2023-01-30 11:53:07,125 - mmseg - INFO - Iter [158950/160000] lr: 3.941e-07, eta: 0:07:13, time: 0.394, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1452, decode.acc_seg: 75.6553, aux.loss_ce: 0.0680, aux.acc_seg: 74.9686, loss: 0.2132 2023-01-30 11:53:26,775 - mmseg - INFO - Saving checkpoint at 159000 iterations 2023-01-30 11:53:37,538 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 11:53:37,544 - mmseg - INFO - Iter [159000/160000] lr: 3.754e-07, eta: 0:06:52, time: 0.607, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1457, decode.acc_seg: 76.0401, aux.loss_ce: 0.0676, aux.acc_seg: 75.4108, loss: 0.2133 2023-01-30 11:53:57,579 - mmseg - INFO - Iter [159050/160000] lr: 3.566e-07, eta: 0:06:32, time: 0.402, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1394, decode.acc_seg: 75.7860, aux.loss_ce: 0.0649, aux.acc_seg: 75.1180, loss: 0.2042 2023-01-30 11:54:17,382 - mmseg - INFO - Iter [159100/160000] lr: 3.379e-07, eta: 0:06:11, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1557, decode.acc_seg: 75.4746, aux.loss_ce: 0.0722, aux.acc_seg: 74.7258, loss: 0.2279 2023-01-30 11:54:39,901 - mmseg - INFO - Iter [159150/160000] lr: 3.191e-07, eta: 0:05:50, time: 0.450, data_time: 0.053, memory: 12319, decode.loss_ce: 0.1508, decode.acc_seg: 75.9989, aux.loss_ce: 0.0711, aux.acc_seg: 75.2278, loss: 0.2218 2023-01-30 11:54:59,305 - mmseg - INFO - Iter [159200/160000] lr: 3.004e-07, eta: 0:05:30, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1443, decode.acc_seg: 75.6052, aux.loss_ce: 0.0672, aux.acc_seg: 74.8592, loss: 0.2115 2023-01-30 11:55:19,112 - mmseg - INFO - Iter [159250/160000] lr: 2.816e-07, eta: 0:05:09, time: 0.396, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1398, decode.acc_seg: 76.4680, aux.loss_ce: 0.0660, aux.acc_seg: 75.7103, loss: 0.2058 2023-01-30 11:55:38,709 - mmseg - INFO - Iter [159300/160000] lr: 2.629e-07, eta: 0:04:49, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1488, decode.acc_seg: 75.9847, aux.loss_ce: 0.0692, aux.acc_seg: 75.2647, loss: 0.2180 2023-01-30 11:55:58,332 - mmseg - INFO - Iter [159350/160000] lr: 2.441e-07, eta: 0:04:28, time: 0.392, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1442, decode.acc_seg: 76.5271, aux.loss_ce: 0.0683, aux.acc_seg: 75.7782, loss: 0.2125 2023-01-30 11:56:17,829 - mmseg - INFO - Iter [159400/160000] lr: 2.254e-07, eta: 0:04:07, time: 0.390, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1379, decode.acc_seg: 75.3755, aux.loss_ce: 0.0641, aux.acc_seg: 74.7206, loss: 0.2020 2023-01-30 11:56:37,379 - mmseg - INFO - Iter [159450/160000] lr: 2.066e-07, eta: 0:03:47, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1381, decode.acc_seg: 76.0769, aux.loss_ce: 0.0649, aux.acc_seg: 75.4343, loss: 0.2030 2023-01-30 11:56:57,019 - mmseg - INFO - Iter [159500/160000] lr: 1.879e-07, eta: 0:03:26, time: 0.393, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1377, decode.acc_seg: 73.9863, aux.loss_ce: 0.0638, aux.acc_seg: 73.3890, loss: 0.2015 2023-01-30 11:57:16,579 - mmseg - INFO - Iter [159550/160000] lr: 1.691e-07, eta: 0:03:05, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1539, decode.acc_seg: 76.3066, aux.loss_ce: 0.0726, aux.acc_seg: 75.4570, loss: 0.2265 2023-01-30 11:57:36,416 - mmseg - INFO - Iter [159600/160000] lr: 1.504e-07, eta: 0:02:45, time: 0.397, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1531, decode.acc_seg: 77.2770, aux.loss_ce: 0.0720, aux.acc_seg: 76.4539, loss: 0.2251 2023-01-30 11:57:55,833 - mmseg - INFO - Iter [159650/160000] lr: 1.316e-07, eta: 0:02:24, time: 0.388, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1443, decode.acc_seg: 75.3669, aux.loss_ce: 0.0675, aux.acc_seg: 74.6175, loss: 0.2118 2023-01-30 11:58:15,574 - mmseg - INFO - Iter [159700/160000] lr: 1.129e-07, eta: 0:02:03, time: 0.395, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1385, decode.acc_seg: 74.3559, aux.loss_ce: 0.0657, aux.acc_seg: 73.6052, loss: 0.2041 2023-01-30 11:58:35,130 - mmseg - INFO - Iter [159750/160000] lr: 9.413e-08, eta: 0:01:43, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1379, decode.acc_seg: 75.6574, aux.loss_ce: 0.0636, aux.acc_seg: 75.0446, loss: 0.2015 2023-01-30 11:58:54,410 - mmseg - INFO - Iter [159800/160000] lr: 7.537e-08, eta: 0:01:22, time: 0.386, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1442, decode.acc_seg: 76.5286, aux.loss_ce: 0.0676, aux.acc_seg: 75.8924, loss: 0.2118 2023-01-30 11:59:14,098 - mmseg - INFO - Iter [159850/160000] lr: 5.663e-08, eta: 0:01:01, time: 0.391, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1390, decode.acc_seg: 74.2876, aux.loss_ce: 0.0652, aux.acc_seg: 73.6213, loss: 0.2042 2023-01-30 11:59:33,673 - mmseg - INFO - Iter [159900/160000] lr: 3.787e-08, eta: 0:00:41, time: 0.394, data_time: 0.006, memory: 12319, decode.loss_ce: 0.1431, decode.acc_seg: 76.1987, aux.loss_ce: 0.0682, aux.acc_seg: 75.4244, loss: 0.2113 2023-01-30 11:59:53,196 - mmseg - INFO - Iter [159950/160000] lr: 1.913e-08, eta: 0:00:20, time: 0.391, data_time: 0.005, memory: 12319, decode.loss_ce: 0.1400, decode.acc_seg: 76.7527, aux.loss_ce: 0.0655, aux.acc_seg: 76.0453, loss: 0.2055 2023-01-30 12:00:15,023 - mmseg - INFO - Saving checkpoint at 160000 iterations 2023-01-30 12:00:25,240 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 12:00:25,240 - mmseg - INFO - Iter [160000/160000] lr: 3.750e-10, eta: 0:00:00, time: 0.641, data_time: 0.004, memory: 12319, decode.loss_ce: 0.1332, decode.acc_seg: 76.3884, aux.loss_ce: 0.0622, aux.acc_seg: 75.6889, loss: 0.1955 2023-01-30 12:00:53,679 - mmseg - INFO - per class results: 2023-01-30 12:00:53,685 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 80.52 | 89.59 | | building | 84.62 | 92.92 | | sky | 94.89 | 97.65 | | floor | 83.55 | 91.83 | | tree | 76.12 | 89.31 | | ceiling | 86.04 | 93.58 | | road | 84.52 | 90.03 | | bed | 92.09 | 97.05 | | windowpane | 63.74 | 79.59 | | grass | 67.77 | 84.07 | | cabinet | 63.93 | 75.45 | | sidewalk | 67.19 | 84.26 | | person | 84.56 | 93.99 | | earth | 39.25 | 52.53 | | door | 54.87 | 69.17 | | table | 68.3 | 80.37 | | mountain | 58.54 | 71.53 | | plant | 52.91 | 62.59 | | curtain | 76.27 | 87.42 | | chair | 63.01 | 75.64 | | car | 86.31 | 93.62 | | water | 67.63 | 83.57 | | painting | 75.32 | 89.13 | | sofa | 75.22 | 87.17 | | shelf | 45.92 | 60.41 | | house | 47.54 | 62.23 | | sea | 73.4 | 84.94 | | mirror | 72.78 | 80.83 | | rug | 65.62 | 77.81 | | field | 29.31 | 46.37 | | armchair | 53.85 | 74.61 | | seat | 67.9 | 86.63 | | fence | 51.53 | 66.85 | | desk | 57.95 | 74.18 | | rock | 50.6 | 77.94 | | wardrobe | 54.77 | 67.59 | | lamp | 69.06 | 79.87 | | bathtub | 84.54 | 87.04 | | railing | 39.27 | 52.51 | | cushion | 66.38 | 79.25 | | base | 35.68 | 55.0 | | box | 31.43 | 39.06 | | column | 48.29 | 59.66 | | signboard | 39.41 | 53.36 | | chest of drawers | 37.32 | 59.5 | | counter | 33.81 | 43.77 | | sand | 61.85 | 85.07 | | sink | 78.41 | 85.76 | | skyscraper | 55.85 | 69.14 | | fireplace | 74.74 | 91.79 | | refrigerator | 84.83 | 91.77 | | grandstand | 47.81 | 81.2 | | path | 19.73 | 27.51 | | stairs | 34.46 | 41.54 | | runway | 72.49 | 95.18 | | case | 48.75 | 66.48 | | pool table | 94.34 | 97.72 | | pillow | 66.98 | 76.18 | | screen door | 72.89 | 83.22 | | stairway | 43.78 | 56.86 | | river | 14.81 | 29.35 | | bridge | 77.38 | 89.53 | | bookcase | 41.81 | 61.25 | | blind | 40.79 | 45.84 | | coffee table | 64.86 | 83.88 | | toilet | 88.54 | 91.78 | | flower | 43.21 | 60.38 | | book | 52.06 | 71.2 | | hill | 14.1 | 20.65 | | bench | 50.58 | 58.42 | | countertop | 62.84 | 79.76 | | stove | 81.11 | 91.03 | | palm | 54.96 | 81.97 | | kitchen island | 48.77 | 82.76 | | computer | 79.64 | 89.73 | | swivel chair | 47.41 | 64.33 | | boat | 72.37 | 88.38 | | bar | 53.98 | 75.63 | | arcade machine | 71.58 | 74.32 | | hovel | 41.62 | 57.13 | | bus | 93.24 | 96.9 | | towel | 71.12 | 83.78 | | light | 59.7 | 68.52 | | truck | 43.36 | 53.57 | | tower | 25.63 | 40.69 | | chandelier | 69.45 | 83.44 | | awning | 36.06 | 43.45 | | streetlight | 36.61 | 45.66 | | booth | 66.57 | 76.79 | | television receiver | 73.28 | 88.11 | | airplane | 69.51 | 76.98 | | dirt track | 2.26 | 10.68 | | apparel | 48.28 | 62.77 | | pole | 29.47 | 42.4 | | land | 5.2 | 7.43 | | bannister | 21.01 | 28.23 | | escalator | 57.54 | 74.35 | | ottoman | 52.86 | 67.96 | | bottle | 43.36 | 71.14 | | buffet | 50.39 | 60.4 | | poster | 34.23 | 49.81 | | stage | 21.25 | 32.72 | | van | 49.87 | 68.18 | | ship | 13.59 | 16.54 | | fountain | 22.67 | 23.29 | | conveyer belt | 80.93 | 92.66 | | canopy | 51.02 | 66.48 | | washer | 87.41 | 92.63 | | plaything | 33.5 | 43.84 | | swimming pool | 64.78 | 87.89 | | stool | 43.9 | 58.98 | | barrel | 72.94 | 90.73 | | basket | 40.35 | 58.52 | | waterfall | 52.62 | 59.7 | | tent | 93.44 | 97.88 | | bag | 17.87 | 20.93 | | minibike | 73.66 | 88.16 | | cradle | 84.31 | 97.38 | | oven | 62.54 | 76.75 | | ball | 51.91 | 57.07 | | food | 52.21 | 59.98 | | step | 7.62 | 8.76 | | tank | 63.84 | 66.38 | | trade name | 23.96 | 28.08 | | microwave | 86.55 | 93.09 | | pot | 47.15 | 53.0 | | animal | 61.16 | 62.79 | | bicycle | 58.71 | 79.87 | | lake | 56.18 | 63.76 | | dishwasher | 74.45 | 83.07 | | screen | 62.08 | 89.56 | | blanket | 24.35 | 28.98 | | sculpture | 76.26 | 86.23 | | hood | 63.69 | 72.84 | | sconce | 54.3 | 63.67 | | vase | 46.99 | 62.92 | | traffic light | 38.63 | 59.82 | | tray | 13.1 | 20.94 | | ashcan | 48.8 | 64.71 | | fan | 70.02 | 82.67 | | pier | 35.24 | 43.09 | | crt screen | 5.99 | 11.84 | | plate | 58.81 | 74.63 | | monitor | 36.67 | 45.35 | | bulletin board | 44.66 | 57.25 | | shower | 10.69 | 14.68 | | radiator | 71.81 | 79.9 | | glass | 20.35 | 22.07 | | clock | 50.77 | 59.78 | | flag | 39.53 | 43.54 | +---------------------+-------+-------+ 2023-01-30 12:00:53,685 - mmseg - INFO - Summary: 2023-01-30 12:00:53,686 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 85.17 | 55.17 | 67.17 | +-------+-------+-------+ 2023-01-30 12:00:53,879 - mmseg - INFO - The previous best checkpoint /mnt/petrelfs/chenzhe1/workspace/ViT-Adapter/segmentation/work_dirs/upernet_uniperceiver_adapter_large_512_160k_ade20k/best_mIoU_iter_112000.pth was removed 2023-01-30 12:01:05,490 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_160000.pth. 2023-01-30 12:01:05,502 - mmseg - INFO - Best mIoU is 0.5517 at 160000 iter. 2023-01-30 12:01:05,513 - mmseg - INFO - Exp name: upernet_uniperceiver_adapter_large_512_160k_ade20k.py 2023-01-30 12:01:05,514 - mmseg - INFO - Iter(val) [250] aAcc: 0.8517, mIoU: 0.5517, mAcc: 0.6717, IoU.wall: 0.8052, IoU.building: 0.8462, IoU.sky: 0.9489, IoU.floor: 0.8355, IoU.tree: 0.7612, IoU.ceiling: 0.8604, IoU.road: 0.8452, IoU.bed : 0.9209, IoU.windowpane: 0.6374, IoU.grass: 0.6777, IoU.cabinet: 0.6393, IoU.sidewalk: 0.6719, IoU.person: 0.8456, IoU.earth: 0.3925, IoU.door: 0.5487, IoU.table: 0.6830, IoU.mountain: 0.5854, IoU.plant: 0.5291, IoU.curtain: 0.7627, IoU.chair: 0.6301, IoU.car: 0.8631, IoU.water: 0.6763, IoU.painting: 0.7532, IoU.sofa: 0.7522, IoU.shelf: 0.4592, IoU.house: 0.4754, IoU.sea: 0.7340, IoU.mirror: 0.7278, IoU.rug: 0.6562, IoU.field: 0.2931, IoU.armchair: 0.5385, IoU.seat: 0.6790, IoU.fence: 0.5153, IoU.desk: 0.5795, IoU.rock: 0.5060, IoU.wardrobe: 0.5477, IoU.lamp: 0.6906, IoU.bathtub: 0.8454, IoU.railing: 0.3927, IoU.cushion: 0.6638, IoU.base: 0.3568, IoU.box: 0.3143, IoU.column: 0.4829, IoU.signboard: 0.3941, IoU.chest of drawers: 0.3732, IoU.counter: 0.3381, IoU.sand: 0.6185, IoU.sink: 0.7841, IoU.skyscraper: 0.5585, IoU.fireplace: 0.7474, IoU.refrigerator: 0.8483, IoU.grandstand: 0.4781, IoU.path: 0.1973, IoU.stairs: 0.3446, IoU.runway: 0.7249, IoU.case: 0.4875, IoU.pool table: 0.9434, IoU.pillow: 0.6698, IoU.screen door: 0.7289, IoU.stairway: 0.4378, IoU.river: 0.1481, IoU.bridge: 0.7738, IoU.bookcase: 0.4181, IoU.blind: 0.4079, IoU.coffee table: 0.6486, IoU.toilet: 0.8854, IoU.flower: 0.4321, IoU.book: 0.5206, IoU.hill: 0.1410, IoU.bench: 0.5058, IoU.countertop: 0.6284, IoU.stove: 0.8111, IoU.palm: 0.5496, IoU.kitchen island: 0.4877, IoU.computer: 0.7964, IoU.swivel chair: 0.4741, IoU.boat: 0.7237, IoU.bar: 0.5398, IoU.arcade machine: 0.7158, IoU.hovel: 0.4162, IoU.bus: 0.9324, IoU.towel: 0.7112, IoU.light: 0.5970, IoU.truck: 0.4336, IoU.tower: 0.2563, IoU.chandelier: 0.6945, IoU.awning: 0.3606, IoU.streetlight: 0.3661, IoU.booth: 0.6657, IoU.television receiver: 0.7328, IoU.airplane: 0.6951, IoU.dirt track: 0.0226, IoU.apparel: 0.4828, IoU.pole: 0.2947, IoU.land: 0.0520, IoU.bannister: 0.2101, IoU.escalator: 0.5754, IoU.ottoman: 0.5286, IoU.bottle: 0.4336, IoU.buffet: 0.5039, IoU.poster: 0.3423, IoU.stage: 0.2125, IoU.van: 0.4987, IoU.ship: 0.1359, IoU.fountain: 0.2267, IoU.conveyer belt: 0.8093, IoU.canopy: 0.5102, IoU.washer: 0.8741, IoU.plaything: 0.3350, IoU.swimming pool: 0.6478, IoU.stool: 0.4390, IoU.barrel: 0.7294, IoU.basket: 0.4035, IoU.waterfall: 0.5262, IoU.tent: 0.9344, IoU.bag: 0.1787, IoU.minibike: 0.7366, IoU.cradle: 0.8431, IoU.oven: 0.6254, IoU.ball: 0.5191, IoU.food: 0.5221, IoU.step: 0.0762, IoU.tank: 0.6384, IoU.trade name: 0.2396, IoU.microwave: 0.8655, IoU.pot: 0.4715, IoU.animal: 0.6116, IoU.bicycle: 0.5871, IoU.lake: 0.5618, IoU.dishwasher: 0.7445, IoU.screen: 0.6208, IoU.blanket: 0.2435, IoU.sculpture: 0.7626, IoU.hood: 0.6369, IoU.sconce: 0.5430, IoU.vase: 0.4699, IoU.traffic light: 0.3863, IoU.tray: 0.1310, IoU.ashcan: 0.4880, IoU.fan: 0.7002, IoU.pier: 0.3524, IoU.crt screen: 0.0599, IoU.plate: 0.5881, IoU.monitor: 0.3667, IoU.bulletin board: 0.4466, IoU.shower: 0.1069, IoU.radiator: 0.7181, IoU.glass: 0.2035, IoU.clock: 0.5077, IoU.flag: 0.3953, Acc.wall: 0.8959, Acc.building: 0.9292, Acc.sky: 0.9765, Acc.floor: 0.9183, Acc.tree: 0.8931, Acc.ceiling: 0.9358, Acc.road: 0.9003, Acc.bed : 0.9705, Acc.windowpane: 0.7959, Acc.grass: 0.8407, Acc.cabinet: 0.7545, Acc.sidewalk: 0.8426, Acc.person: 0.9399, Acc.earth: 0.5253, Acc.door: 0.6917, Acc.table: 0.8037, Acc.mountain: 0.7153, Acc.plant: 0.6259, Acc.curtain: 0.8742, Acc.chair: 0.7564, Acc.car: 0.9362, Acc.water: 0.8357, Acc.painting: 0.8913, Acc.sofa: 0.8717, Acc.shelf: 0.6041, Acc.house: 0.6223, Acc.sea: 0.8494, Acc.mirror: 0.8083, Acc.rug: 0.7781, Acc.field: 0.4637, Acc.armchair: 0.7461, Acc.seat: 0.8663, Acc.fence: 0.6685, Acc.desk: 0.7418, Acc.rock: 0.7794, Acc.wardrobe: 0.6759, Acc.lamp: 0.7987, Acc.bathtub: 0.8704, Acc.railing: 0.5251, Acc.cushion: 0.7925, Acc.base: 0.5500, Acc.box: 0.3906, Acc.column: 0.5966, Acc.signboard: 0.5336, Acc.chest of drawers: 0.5950, Acc.counter: 0.4377, Acc.sand: 0.8507, Acc.sink: 0.8576, Acc.skyscraper: 0.6914, Acc.fireplace: 0.9179, Acc.refrigerator: 0.9177, Acc.grandstand: 0.8120, Acc.path: 0.2751, Acc.stairs: 0.4154, Acc.runway: 0.9518, Acc.case: 0.6648, Acc.pool table: 0.9772, Acc.pillow: 0.7618, Acc.screen door: 0.8322, Acc.stairway: 0.5686, Acc.river: 0.2935, Acc.bridge: 0.8953, Acc.bookcase: 0.6125, Acc.blind: 0.4584, Acc.coffee table: 0.8388, Acc.toilet: 0.9178, Acc.flower: 0.6038, Acc.book: 0.7120, Acc.hill: 0.2065, Acc.bench: 0.5842, Acc.countertop: 0.7976, Acc.stove: 0.9103, Acc.palm: 0.8197, Acc.kitchen island: 0.8276, Acc.computer: 0.8973, Acc.swivel chair: 0.6433, Acc.boat: 0.8838, Acc.bar: 0.7563, Acc.arcade machine: 0.7432, Acc.hovel: 0.5713, Acc.bus: 0.9690, Acc.towel: 0.8378, Acc.light: 0.6852, Acc.truck: 0.5357, Acc.tower: 0.4069, Acc.chandelier: 0.8344, Acc.awning: 0.4345, Acc.streetlight: 0.4566, Acc.booth: 0.7679, Acc.television receiver: 0.8811, Acc.airplane: 0.7698, Acc.dirt track: 0.1068, Acc.apparel: 0.6277, Acc.pole: 0.4240, Acc.land: 0.0743, Acc.bannister: 0.2823, Acc.escalator: 0.7435, Acc.ottoman: 0.6796, Acc.bottle: 0.7114, Acc.buffet: 0.6040, Acc.poster: 0.4981, Acc.stage: 0.3272, Acc.van: 0.6818, Acc.ship: 0.1654, Acc.fountain: 0.2329, Acc.conveyer belt: 0.9266, Acc.canopy: 0.6648, Acc.washer: 0.9263, Acc.plaything: 0.4384, Acc.swimming pool: 0.8789, Acc.stool: 0.5898, Acc.barrel: 0.9073, Acc.basket: 0.5852, Acc.waterfall: 0.5970, Acc.tent: 0.9788, Acc.bag: 0.2093, Acc.minibike: 0.8816, Acc.cradle: 0.9738, Acc.oven: 0.7675, Acc.ball: 0.5707, Acc.food: 0.5998, Acc.step: 0.0876, Acc.tank: 0.6638, Acc.trade name: 0.2808, Acc.microwave: 0.9309, Acc.pot: 0.5300, Acc.animal: 0.6279, Acc.bicycle: 0.7987, Acc.lake: 0.6376, Acc.dishwasher: 0.8307, Acc.screen: 0.8956, Acc.blanket: 0.2898, Acc.sculpture: 0.8623, Acc.hood: 0.7284, Acc.sconce: 0.6367, Acc.vase: 0.6292, Acc.traffic light: 0.5982, Acc.tray: 0.2094, Acc.ashcan: 0.6471, Acc.fan: 0.8267, Acc.pier: 0.4309, Acc.crt screen: 0.1184, Acc.plate: 0.7463, Acc.monitor: 0.4535, Acc.bulletin board: 0.5725, Acc.shower: 0.1468, Acc.radiator: 0.7990, Acc.glass: 0.2207, Acc.clock: 0.5978, Acc.flag: 0.4354