2022-06-18 09:21:40,245 - 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: A100-SXM-80GB CUDA_HOME: /usr/local/cuda NVCC: Build cuda_11.2.r11.2/compiler.29618528_0 GCC: gcc (GCC) 5.2.0 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: 4.5.5 MMCV: 1.4.2 MMCV Compiler: GCC 7.3 MMCV CUDA Compiler: 11.1 MMSegmentation: 0.20.2+ ------------------------------------------------------------ 2022-06-18 09:21:40,246 - mmseg - INFO - Distributed training: True 2022-06-18 09:21:40,653 - mmseg - INFO - Config: norm_cfg = dict(type='SyncBN', requires_grad=True) model = dict( type='EncoderDecoder', pretrained='pretrained/deit_tiny_patch16_224-a1311bcf.pth', backbone=dict( type='ViTAdapter', patch_size=16, embed_dim=192, depth=12, num_heads=3, mlp_ratio=4, drop_path_rate=0.1, conv_inplane=64, n_points=4, deform_num_heads=6, cffn_ratio=0.25, deform_ratio=1.0, layer_scale=True, interaction_indexes=[[0, 2], [3, 5], [6, 8], [9, 11]], window_attn=[ 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 ]), decode_head=dict( type='UPerHead', in_channels=[192, 192, 192, 192], 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=192, 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=0.00012, betas=(0.9, 0.999), weight_decay=0.01, constructor='LayerDecayOptimizerConstructor', paramwise_cfg=dict(num_layers=12, layer_decay_rate=0.95)) 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/deit_tiny_patch16_224-a1311bcf.pth' work_dir = './work_dirs/upernet_deit_adapter_tiny_512_160_ade20k_try2' gpu_ids = range(0, 8) auto_resume = False 2022-06-18 09:21:49,276 - mmseg - INFO - Set random seed to 550617536, deterministic: False 2022-06-18 09:21:49,333 - mmseg - WARNING - unexpected key in source state_dict: cls_token, norm.weight, norm.bias, head.weight, head.bias missing keys in source state_dict: blocks.0.gamma2, blocks.4.gamma1, blocks.2.gamma2, blocks.3.gamma2, blocks.8.gamma1, blocks.1.gamma1, blocks.9.gamma2, blocks.6.gamma1, blocks.11.gamma1, blocks.1.gamma2, blocks.2.gamma1, blocks.11.gamma2, blocks.5.gamma1, blocks.3.gamma1, blocks.10.gamma2, blocks.8.gamma2, blocks.10.gamma1, blocks.4.gamma2, blocks.7.gamma2, blocks.7.gamma1, blocks.6.gamma2, blocks.0.gamma1, blocks.5.gamma2, blocks.9.gamma1 2022-06-18 09:21:49,662 - mmseg - INFO - initialize UPerHead with init_cfg {'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} 2022-06-18 09:21:49,775 - mmseg - INFO - initialize FCNHead with init_cfg {'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} Name of parameter - Initialization information backbone.pos_embed - torch.Size([1, 197, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.level_embed - torch.Size([3, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.patch_embed.proj.weight - torch.Size([192, 3, 16, 16]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.patch_embed.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.gamma1 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.gamma2 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.0.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.gamma1 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.gamma2 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.1.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.gamma1 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.gamma2 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.2.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.gamma1 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.gamma2 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.3.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.gamma1 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.gamma2 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.4.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.gamma1 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.gamma2 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.5.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.gamma1 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.gamma2 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.6.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.gamma1 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.gamma2 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.7.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.gamma1 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.gamma2 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.8.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.gamma1 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.gamma2 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.9.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.gamma1 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.gamma2 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.10.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.gamma1 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.gamma2 - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.attn.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.attn.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.attn.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.attn.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.blocks.11.mlp.fc2.bias - torch.Size([192]): 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([192, 64, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.fc1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.fc2.weight - torch.Size([192, 128, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.fc3.weight - torch.Size([192, 256, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.fc3.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.fc4.weight - torch.Size([192, 256, 1, 1]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.spm.fc4.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.feat_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.attn.sampling_offsets.weight - torch.Size([144, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.attn.sampling_offsets.bias - torch.Size([144]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.attn.attention_weights.weight - torch.Size([72, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.attn.attention_weights.bias - torch.Size([72]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.attn.value_proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.attn.output_proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.injector.attn.output_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.feat_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.attn.sampling_offsets.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.attn.sampling_offsets.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.attn.attention_weights.weight - torch.Size([24, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.attn.attention_weights.bias - torch.Size([24]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.attn.value_proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.attn.output_proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.attn.output_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.ffn.fc1.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.ffn.fc1.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.ffn.dwconv.dwconv.weight - torch.Size([48, 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([48]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.ffn.fc2.weight - torch.Size([192, 48]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.ffn.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.ffn_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.0.extractor.ffn_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.feat_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.attn.sampling_offsets.weight - torch.Size([144, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.attn.sampling_offsets.bias - torch.Size([144]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.attn.attention_weights.weight - torch.Size([72, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.attn.attention_weights.bias - torch.Size([72]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.attn.value_proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.attn.output_proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.injector.attn.output_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.feat_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.attn.sampling_offsets.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.attn.sampling_offsets.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.attn.attention_weights.weight - torch.Size([24, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.attn.attention_weights.bias - torch.Size([24]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.attn.value_proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.attn.output_proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.attn.output_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.ffn.fc1.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.ffn.fc1.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.ffn.dwconv.dwconv.weight - torch.Size([48, 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([48]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.ffn.fc2.weight - torch.Size([192, 48]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.ffn.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.ffn_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.1.extractor.ffn_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.feat_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.attn.sampling_offsets.weight - torch.Size([144, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.attn.sampling_offsets.bias - torch.Size([144]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.attn.attention_weights.weight - torch.Size([72, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.attn.attention_weights.bias - torch.Size([72]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.attn.value_proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.attn.output_proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.injector.attn.output_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.feat_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.attn.sampling_offsets.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.attn.sampling_offsets.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.attn.attention_weights.weight - torch.Size([24, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.attn.attention_weights.bias - torch.Size([24]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.attn.value_proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.attn.output_proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.attn.output_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.ffn.fc1.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.ffn.fc1.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.ffn.dwconv.dwconv.weight - torch.Size([48, 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([48]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.ffn.fc2.weight - torch.Size([192, 48]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.ffn.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.ffn_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.2.extractor.ffn_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.gamma - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.feat_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.attn.sampling_offsets.weight - torch.Size([144, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.attn.sampling_offsets.bias - torch.Size([144]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.attn.attention_weights.weight - torch.Size([72, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.attn.attention_weights.bias - torch.Size([72]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.attn.value_proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.attn.output_proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.injector.attn.output_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.feat_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.attn.sampling_offsets.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.attn.sampling_offsets.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.attn.attention_weights.weight - torch.Size([24, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.attn.attention_weights.bias - torch.Size([24]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.attn.value_proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.attn.value_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.attn.output_proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.attn.output_proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.ffn.fc1.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.ffn.fc1.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.ffn.dwconv.dwconv.weight - torch.Size([48, 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([48]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.ffn.fc2.weight - torch.Size([192, 48]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.ffn.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.ffn_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extractor.ffn_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.feat_norm.bias - torch.Size([192]): 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([48, 192]): 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([48]): 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([24, 192]): 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([24]): 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([192, 192]): 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([192]): 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([192, 192]): 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([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.ffn.fc1.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.ffn.fc1.bias - torch.Size([48]): 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([48, 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([48]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.ffn.fc2.weight - torch.Size([192, 48]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.ffn.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.ffn_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.0.ffn_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.query_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.query_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.feat_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.feat_norm.bias - torch.Size([192]): 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([48, 192]): 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([48]): 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([24, 192]): 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([24]): 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([192, 192]): 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([192]): 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([192, 192]): 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([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.ffn.fc1.weight - torch.Size([48, 192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.ffn.fc1.bias - torch.Size([48]): 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([48, 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([48]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.ffn.fc2.weight - torch.Size([192, 48]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.ffn.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.ffn_norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.interactions.3.extra_extractors.1.ffn_norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.up.weight - torch.Size([192, 192, 2, 2]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.up.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.norm3.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.norm3.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.norm4.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of EncoderDecoder backbone.norm4.bias - torch.Size([192]): 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, 192, 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, 192, 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, 192, 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, 192, 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, 2240, 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, 192, 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, 192, 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, 192, 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, 192, 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 2022-06-18 09:21:49,779 - mmseg - INFO - EncoderDecoder( (backbone): ViTAdapter( (patch_embed): PatchEmbed( (proj): Conv2d(3, 192, kernel_size=(16, 16), stride=(16, 16)) (norm): Identity() ) (pos_drop): Dropout(p=0.0, inplace=False) (blocks): Sequential( (0): Block( (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=192, out_features=576, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=192, out_features=192, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): Identity() (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=192, out_features=768, bias=True) (act): GELU() (fc2): Linear(in_features=768, out_features=192, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (1): Block( (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=192, out_features=576, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=192, out_features=192, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath() (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=192, out_features=768, bias=True) (act): GELU() (fc2): Linear(in_features=768, out_features=192, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (2): Block( (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=192, out_features=576, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=192, out_features=192, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath() (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=192, out_features=768, bias=True) (act): GELU() (fc2): Linear(in_features=768, out_features=192, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (3): Block( (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=192, out_features=576, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=192, out_features=192, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath() (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=192, out_features=768, bias=True) (act): GELU() (fc2): Linear(in_features=768, out_features=192, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (4): Block( (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=192, out_features=576, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=192, out_features=192, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath() (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=192, out_features=768, bias=True) (act): GELU() (fc2): Linear(in_features=768, out_features=192, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (5): Block( (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=192, out_features=576, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=192, out_features=192, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath() (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=192, out_features=768, bias=True) (act): GELU() (fc2): Linear(in_features=768, out_features=192, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (6): Block( (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=192, out_features=576, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=192, out_features=192, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath() (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=192, out_features=768, bias=True) (act): GELU() (fc2): Linear(in_features=768, out_features=192, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (7): Block( (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=192, out_features=576, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=192, out_features=192, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath() (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=192, out_features=768, bias=True) (act): GELU() (fc2): Linear(in_features=768, out_features=192, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (8): Block( (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=192, out_features=576, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=192, out_features=192, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath() (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=192, out_features=768, bias=True) (act): GELU() (fc2): Linear(in_features=768, out_features=192, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (9): Block( (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=192, out_features=576, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=192, out_features=192, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath() (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=192, out_features=768, bias=True) (act): GELU() (fc2): Linear(in_features=768, out_features=192, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (10): Block( (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=192, out_features=576, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=192, out_features=192, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath() (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=192, out_features=768, bias=True) (act): GELU() (fc2): Linear(in_features=768, out_features=192, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) (11): Block( (norm1): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): Attention( (qkv): Linear(in_features=192, out_features=576, bias=True) (attn_drop): Dropout(p=0.0, inplace=False) (proj): Linear(in_features=192, out_features=192, bias=True) (proj_drop): Dropout(p=0.0, inplace=False) ) (drop_path): DropPath() (norm2): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (mlp): Mlp( (fc1): Linear(in_features=192, out_features=768, bias=True) (act): GELU() (fc2): Linear(in_features=768, out_features=192, bias=True) (drop): Dropout(p=0.0, inplace=False) ) ) ) (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, 192, kernel_size=(1, 1), stride=(1, 1)) (fc2): Conv2d(128, 192, kernel_size=(1, 1), stride=(1, 1)) (fc3): Conv2d(256, 192, kernel_size=(1, 1), stride=(1, 1)) (fc4): Conv2d(256, 192, kernel_size=(1, 1), stride=(1, 1)) ) (interactions): Sequential( (0): InteractionBlock( (injector): Injector( (query_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=192, out_features=144, bias=True) (attention_weights): Linear(in_features=192, out_features=72, bias=True) (value_proj): Linear(in_features=192, out_features=192, bias=True) (output_proj): Linear(in_features=192, out_features=192, bias=True) ) ) (extractor): Extractor( (query_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=192, out_features=48, bias=True) (attention_weights): Linear(in_features=192, out_features=24, bias=True) (value_proj): Linear(in_features=192, out_features=192, bias=True) (output_proj): Linear(in_features=192, out_features=192, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=192, out_features=48, bias=True) (dwconv): DWConv( (dwconv): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=48) ) (act): GELU() (fc2): Linear(in_features=48, out_features=192, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (drop_path): DropPath() ) ) (1): InteractionBlock( (injector): Injector( (query_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=192, out_features=144, bias=True) (attention_weights): Linear(in_features=192, out_features=72, bias=True) (value_proj): Linear(in_features=192, out_features=192, bias=True) (output_proj): Linear(in_features=192, out_features=192, bias=True) ) ) (extractor): Extractor( (query_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=192, out_features=48, bias=True) (attention_weights): Linear(in_features=192, out_features=24, bias=True) (value_proj): Linear(in_features=192, out_features=192, bias=True) (output_proj): Linear(in_features=192, out_features=192, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=192, out_features=48, bias=True) (dwconv): DWConv( (dwconv): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=48) ) (act): GELU() (fc2): Linear(in_features=48, out_features=192, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (drop_path): DropPath() ) ) (2): InteractionBlock( (injector): Injector( (query_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=192, out_features=144, bias=True) (attention_weights): Linear(in_features=192, out_features=72, bias=True) (value_proj): Linear(in_features=192, out_features=192, bias=True) (output_proj): Linear(in_features=192, out_features=192, bias=True) ) ) (extractor): Extractor( (query_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=192, out_features=48, bias=True) (attention_weights): Linear(in_features=192, out_features=24, bias=True) (value_proj): Linear(in_features=192, out_features=192, bias=True) (output_proj): Linear(in_features=192, out_features=192, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=192, out_features=48, bias=True) (dwconv): DWConv( (dwconv): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=48) ) (act): GELU() (fc2): Linear(in_features=48, out_features=192, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (drop_path): DropPath() ) ) (3): InteractionBlock( (injector): Injector( (query_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=192, out_features=144, bias=True) (attention_weights): Linear(in_features=192, out_features=72, bias=True) (value_proj): Linear(in_features=192, out_features=192, bias=True) (output_proj): Linear(in_features=192, out_features=192, bias=True) ) ) (extractor): Extractor( (query_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=192, out_features=48, bias=True) (attention_weights): Linear(in_features=192, out_features=24, bias=True) (value_proj): Linear(in_features=192, out_features=192, bias=True) (output_proj): Linear(in_features=192, out_features=192, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=192, out_features=48, bias=True) (dwconv): DWConv( (dwconv): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=48) ) (act): GELU() (fc2): Linear(in_features=48, out_features=192, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (drop_path): DropPath() ) (extra_extractors): Sequential( (0): Extractor( (query_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=192, out_features=48, bias=True) (attention_weights): Linear(in_features=192, out_features=24, bias=True) (value_proj): Linear(in_features=192, out_features=192, bias=True) (output_proj): Linear(in_features=192, out_features=192, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=192, out_features=48, bias=True) (dwconv): DWConv( (dwconv): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=48) ) (act): GELU() (fc2): Linear(in_features=48, out_features=192, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (drop_path): Identity() ) (1): Extractor( (query_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (feat_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (attn): MSDeformAttn( (sampling_offsets): Linear(in_features=192, out_features=48, bias=True) (attention_weights): Linear(in_features=192, out_features=24, bias=True) (value_proj): Linear(in_features=192, out_features=192, bias=True) (output_proj): Linear(in_features=192, out_features=192, bias=True) ) (ffn): ConvFFN( (fc1): Linear(in_features=192, out_features=48, bias=True) (dwconv): DWConv( (dwconv): Conv2d(48, 48, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=48) ) (act): GELU() (fc2): Linear(in_features=48, out_features=192, bias=True) (drop): Dropout(p=0.0, inplace=False) ) (ffn_norm): LayerNorm((192,), eps=1e-06, elementwise_affine=True) (drop_path): Identity() ) ) ) ) (up): ConvTranspose2d(192, 192, kernel_size=(2, 2), stride=(2, 2)) (norm1): SyncBatchNorm(192, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (norm2): SyncBatchNorm(192, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (norm3): SyncBatchNorm(192, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) (norm4): SyncBatchNorm(192, 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(192, 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(192, 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(192, 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(192, 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(2240, 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(192, 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(192, 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(192, 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(192, 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'}} ) 2022-06-18 09:21:50,176 - mmseg - INFO - Loaded 20210 images 2022-06-18 09:21:50,840 - mmseg - INFO - Loaded 2000 images 2022-06-18 09:21:50,841 - mmseg - INFO - Start running, host: chenzhe@HOST-10-142-40-13, work_dir: /home/chenzhe/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_deit_adapter_tiny_512_160_ade20k_try2 2022-06-18 09:21:50,841 - 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 -------------------- 2022-06-18 09:21:50,842 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters 2022-06-18 09:21:50,842 - mmseg - INFO - Checkpoints will be saved to /home/chenzhe/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_deit_adapter_tiny_512_160_ade20k_try2 by HardDiskBackend. 2022-06-18 09:22:30,204 - mmseg - INFO - Iter [50/160000] lr: 2.012e-06, eta: 17:39:00, time: 0.397, data_time: 0.006, memory: 36048, decode.loss_ce: 4.0548, decode.acc_seg: 1.6212, aux.loss_ce: 1.6316, aux.acc_seg: 1.2332, loss: 5.6864 2022-06-18 09:22:42,534 - mmseg - INFO - Iter [100/160000] lr: 4.063e-06, eta: 14:17:52, time: 0.247, data_time: 0.004, memory: 36048, decode.loss_ce: 3.8210, decode.acc_seg: 17.3163, aux.loss_ce: 1.5994, aux.acc_seg: 3.1247, loss: 5.4203 2022-06-18 09:22:54,664 - mmseg - INFO - Iter [150/160000] lr: 6.113e-06, eta: 13:07:08, time: 0.243, data_time: 0.003, memory: 36048, decode.loss_ce: 3.3761, decode.acc_seg: 32.9619, aux.loss_ce: 1.5565, aux.acc_seg: 14.3149, loss: 4.9326 2022-06-18 09:23:06,894 - mmseg - INFO - Iter [200/160000] lr: 8.162e-06, eta: 12:32:58, time: 0.245, data_time: 0.003, memory: 36048, decode.loss_ce: 3.0288, decode.acc_seg: 36.4093, aux.loss_ce: 1.5116, aux.acc_seg: 26.9861, loss: 4.5404 2022-06-18 09:23:18,740 - mmseg - INFO - Iter [250/160000] lr: 1.021e-05, eta: 12:08:26, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 2.8076, decode.acc_seg: 41.0648, aux.loss_ce: 1.4723, aux.acc_seg: 35.1654, loss: 4.2799 2022-06-18 09:23:30,606 - mmseg - INFO - Iter [300/160000] lr: 1.226e-05, eta: 11:52:06, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 2.5107, decode.acc_seg: 41.0854, aux.loss_ce: 1.3546, aux.acc_seg: 36.6591, loss: 3.8653 2022-06-18 09:23:42,424 - mmseg - INFO - Iter [350/160000] lr: 1.430e-05, eta: 11:40:02, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 2.2600, decode.acc_seg: 42.7744, aux.loss_ce: 1.2539, aux.acc_seg: 38.8057, loss: 3.5139 2022-06-18 09:23:54,517 - mmseg - INFO - Iter [400/160000] lr: 1.635e-05, eta: 11:32:45, time: 0.242, data_time: 0.003, memory: 36048, decode.loss_ce: 2.1418, decode.acc_seg: 42.3815, aux.loss_ce: 1.1954, aux.acc_seg: 37.3796, loss: 3.3372 2022-06-18 09:24:06,615 - mmseg - INFO - Iter [450/160000] lr: 1.839e-05, eta: 11:27:05, time: 0.242, data_time: 0.003, memory: 36048, decode.loss_ce: 2.0047, decode.acc_seg: 44.1888, aux.loss_ce: 1.1245, aux.acc_seg: 38.8184, loss: 3.1292 2022-06-18 09:24:18,429 - mmseg - INFO - Iter [500/160000] lr: 2.043e-05, eta: 11:20:59, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 1.8682, decode.acc_seg: 46.0729, aux.loss_ce: 1.0655, aux.acc_seg: 40.6412, loss: 2.9337 2022-06-18 09:24:30,404 - mmseg - INFO - Iter [550/160000] lr: 2.247e-05, eta: 11:16:44, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 1.8154, decode.acc_seg: 45.6924, aux.loss_ce: 1.0117, aux.acc_seg: 40.7116, loss: 2.8271 2022-06-18 09:24:42,432 - mmseg - INFO - Iter [600/160000] lr: 2.451e-05, eta: 11:13:22, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 1.7106, decode.acc_seg: 46.5046, aux.loss_ce: 0.9551, aux.acc_seg: 41.4491, loss: 2.6657 2022-06-18 09:24:54,191 - mmseg - INFO - Iter [650/160000] lr: 2.654e-05, eta: 11:09:27, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 1.6706, decode.acc_seg: 45.1898, aux.loss_ce: 0.9037, aux.acc_seg: 40.5742, loss: 2.5743 2022-06-18 09:25:06,108 - mmseg - INFO - Iter [700/160000] lr: 2.858e-05, eta: 11:06:37, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 1.6232, decode.acc_seg: 47.0212, aux.loss_ce: 0.8715, aux.acc_seg: 42.1860, loss: 2.4947 2022-06-18 09:25:17,737 - mmseg - INFO - Iter [750/160000] lr: 3.062e-05, eta: 11:03:09, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 1.5415, decode.acc_seg: 47.7133, aux.loss_ce: 0.8141, aux.acc_seg: 43.5307, loss: 2.3556 2022-06-18 09:25:29,461 - mmseg - INFO - Iter [800/160000] lr: 3.265e-05, eta: 11:00:22, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 1.5297, decode.acc_seg: 47.9254, aux.loss_ce: 0.7876, aux.acc_seg: 43.7388, loss: 2.3174 2022-06-18 09:25:41,664 - mmseg - INFO - Iter [850/160000] lr: 3.468e-05, eta: 10:59:26, time: 0.244, data_time: 0.003, memory: 36048, decode.loss_ce: 1.5493, decode.acc_seg: 47.6169, aux.loss_ce: 0.7759, aux.acc_seg: 44.6962, loss: 2.3252 2022-06-18 09:25:53,463 - mmseg - INFO - Iter [900/160000] lr: 3.671e-05, eta: 10:57:20, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 1.5056, decode.acc_seg: 49.5306, aux.loss_ce: 0.7472, aux.acc_seg: 46.0546, loss: 2.2528 2022-06-18 09:26:05,477 - mmseg - INFO - Iter [950/160000] lr: 3.874e-05, eta: 10:56:05, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 1.4908, decode.acc_seg: 47.7348, aux.loss_ce: 0.7298, aux.acc_seg: 44.5066, loss: 2.2205 2022-06-18 09:26:17,151 - mmseg - INFO - Saving checkpoint at 1000 iterations 2022-06-18 09:26:17,820 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 09:26:17,820 - mmseg - INFO - Iter [1000/160000] lr: 4.077e-05, eta: 10:55:48, time: 0.247, data_time: 0.003, memory: 36048, decode.loss_ce: 1.4148, decode.acc_seg: 48.0128, aux.loss_ce: 0.6899, aux.acc_seg: 44.9073, loss: 2.1048 2022-06-18 09:26:29,680 - mmseg - INFO - Iter [1050/160000] lr: 4.280e-05, eta: 10:54:18, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 1.4296, decode.acc_seg: 47.3044, aux.loss_ce: 0.6768, aux.acc_seg: 44.9764, loss: 2.1064 2022-06-18 09:26:41,403 - mmseg - INFO - Iter [1100/160000] lr: 4.482e-05, eta: 10:52:33, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 1.3676, decode.acc_seg: 49.6181, aux.loss_ce: 0.6461, aux.acc_seg: 46.8097, loss: 2.0136 2022-06-18 09:26:53,180 - mmseg - INFO - Iter [1150/160000] lr: 4.685e-05, eta: 10:51:04, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 1.3884, decode.acc_seg: 48.4639, aux.loss_ce: 0.6464, aux.acc_seg: 46.0783, loss: 2.0348 2022-06-18 09:27:05,013 - mmseg - INFO - Iter [1200/160000] lr: 4.887e-05, eta: 10:49:54, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 1.3509, decode.acc_seg: 48.3687, aux.loss_ce: 0.6268, aux.acc_seg: 45.7658, loss: 1.9777 2022-06-18 09:27:17,096 - mmseg - INFO - Iter [1250/160000] lr: 5.089e-05, eta: 10:49:16, time: 0.242, data_time: 0.003, memory: 36048, decode.loss_ce: 1.3170, decode.acc_seg: 47.7237, aux.loss_ce: 0.6028, aux.acc_seg: 45.6619, loss: 1.9197 2022-06-18 09:27:31,030 - mmseg - INFO - Iter [1300/160000] lr: 5.291e-05, eta: 10:52:25, time: 0.278, data_time: 0.048, memory: 36048, decode.loss_ce: 1.3155, decode.acc_seg: 49.4494, aux.loss_ce: 0.6017, aux.acc_seg: 47.9144, loss: 1.9172 2022-06-18 09:27:42,664 - mmseg - INFO - Iter [1350/160000] lr: 5.493e-05, eta: 10:50:53, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 1.3059, decode.acc_seg: 50.2196, aux.loss_ce: 0.6041, aux.acc_seg: 47.9123, loss: 1.9100 2022-06-18 09:27:54,707 - mmseg - INFO - Iter [1400/160000] lr: 5.695e-05, eta: 10:50:04, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 1.3176, decode.acc_seg: 50.0489, aux.loss_ce: 0.6022, aux.acc_seg: 48.3159, loss: 1.9198 2022-06-18 09:28:06,348 - mmseg - INFO - Iter [1450/160000] lr: 5.897e-05, eta: 10:48:45, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 1.2102, decode.acc_seg: 52.1778, aux.loss_ce: 0.5518, aux.acc_seg: 49.9829, loss: 1.7620 2022-06-18 09:28:18,456 - mmseg - INFO - Iter [1500/160000] lr: 6.098e-05, eta: 10:48:13, time: 0.242, data_time: 0.003, memory: 36048, decode.loss_ce: 1.3032, decode.acc_seg: 48.6246, aux.loss_ce: 0.5784, aux.acc_seg: 47.5008, loss: 1.8816 2022-06-18 09:28:29,989 - mmseg - INFO - Iter [1550/160000] lr: 6.100e-05, eta: 10:46:46, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 1.2531, decode.acc_seg: 49.1844, aux.loss_ce: 0.5584, aux.acc_seg: 48.1079, loss: 1.8115 2022-06-18 09:28:41,735 - mmseg - INFO - Iter [1600/160000] lr: 6.099e-05, eta: 10:45:47, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 1.2587, decode.acc_seg: 49.8733, aux.loss_ce: 0.5594, aux.acc_seg: 49.0263, loss: 1.8180 2022-06-18 09:28:53,449 - mmseg - INFO - Iter [1650/160000] lr: 6.097e-05, eta: 10:44:43, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 1.2745, decode.acc_seg: 49.4337, aux.loss_ce: 0.5660, aux.acc_seg: 48.5214, loss: 1.8404 2022-06-18 09:29:05,179 - mmseg - INFO - Iter [1700/160000] lr: 6.095e-05, eta: 10:43:46, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 1.2667, decode.acc_seg: 49.3851, aux.loss_ce: 0.5611, aux.acc_seg: 48.6440, loss: 1.8278 2022-06-18 09:29:17,027 - mmseg - INFO - Iter [1750/160000] lr: 6.093e-05, eta: 10:43:03, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 1.2320, decode.acc_seg: 49.8657, aux.loss_ce: 0.5456, aux.acc_seg: 49.0449, loss: 1.7776 2022-06-18 09:29:28,925 - mmseg - INFO - Iter [1800/160000] lr: 6.091e-05, eta: 10:42:25, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 1.1424, decode.acc_seg: 51.1459, aux.loss_ce: 0.5093, aux.acc_seg: 50.0925, loss: 1.6517 2022-06-18 09:29:40,674 - mmseg - INFO - Iter [1850/160000] lr: 6.089e-05, eta: 10:41:36, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 1.1751, decode.acc_seg: 52.0666, aux.loss_ce: 0.5241, aux.acc_seg: 50.6948, loss: 1.6992 2022-06-18 09:29:52,365 - mmseg - INFO - Iter [1900/160000] lr: 6.087e-05, eta: 10:40:43, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 1.2575, decode.acc_seg: 48.9121, aux.loss_ce: 0.5448, aux.acc_seg: 48.2911, loss: 1.8023 2022-06-18 09:30:04,190 - mmseg - INFO - Iter [1950/160000] lr: 6.085e-05, eta: 10:40:05, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 1.1874, decode.acc_seg: 50.8086, aux.loss_ce: 0.5218, aux.acc_seg: 49.8574, loss: 1.7092 2022-06-18 09:30:15,892 - mmseg - INFO - Saving checkpoint at 2000 iterations 2022-06-18 09:30:16,592 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 09:30:16,592 - mmseg - INFO - Iter [2000/160000] lr: 6.083e-05, eta: 10:40:12, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 1.2522, decode.acc_seg: 50.7004, aux.loss_ce: 0.5451, aux.acc_seg: 49.7320, loss: 1.7972 2022-06-18 09:30:28,404 - mmseg - INFO - Iter [2050/160000] lr: 6.081e-05, eta: 10:39:33, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 1.1538, decode.acc_seg: 51.7086, aux.loss_ce: 0.5044, aux.acc_seg: 50.5931, loss: 1.6583 2022-06-18 09:30:40,315 - mmseg - INFO - Iter [2100/160000] lr: 6.079e-05, eta: 10:39:04, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 1.2248, decode.acc_seg: 49.9672, aux.loss_ce: 0.5350, aux.acc_seg: 49.0399, loss: 1.7597 2022-06-18 09:30:52,041 - mmseg - INFO - Iter [2150/160000] lr: 6.077e-05, eta: 10:38:21, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 1.1597, decode.acc_seg: 51.4518, aux.loss_ce: 0.5047, aux.acc_seg: 50.8638, loss: 1.6645 2022-06-18 09:31:03,912 - mmseg - INFO - Iter [2200/160000] lr: 6.075e-05, eta: 10:37:50, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 1.1439, decode.acc_seg: 50.9023, aux.loss_ce: 0.4963, aux.acc_seg: 49.9714, loss: 1.6402 2022-06-18 09:31:15,576 - mmseg - INFO - Iter [2250/160000] lr: 6.074e-05, eta: 10:37:06, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 1.1163, decode.acc_seg: 52.0148, aux.loss_ce: 0.4881, aux.acc_seg: 51.4615, loss: 1.6044 2022-06-18 09:31:27,283 - mmseg - INFO - Iter [2300/160000] lr: 6.072e-05, eta: 10:36:23, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 1.1089, decode.acc_seg: 51.5993, aux.loss_ce: 0.4835, aux.acc_seg: 50.6597, loss: 1.5924 2022-06-18 09:31:38,932 - mmseg - INFO - Iter [2350/160000] lr: 6.070e-05, eta: 10:35:42, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 1.0757, decode.acc_seg: 52.1176, aux.loss_ce: 0.4664, aux.acc_seg: 51.7008, loss: 1.5420 2022-06-18 09:31:50,966 - mmseg - INFO - Iter [2400/160000] lr: 6.068e-05, eta: 10:35:26, time: 0.241, data_time: 0.003, memory: 36048, decode.loss_ce: 1.1269, decode.acc_seg: 52.1215, aux.loss_ce: 0.4902, aux.acc_seg: 51.5767, loss: 1.6171 2022-06-18 09:32:02,513 - mmseg - INFO - Iter [2450/160000] lr: 6.066e-05, eta: 10:34:37, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 1.0855, decode.acc_seg: 53.3004, aux.loss_ce: 0.4726, aux.acc_seg: 52.5285, loss: 1.5582 2022-06-18 09:32:14,499 - mmseg - INFO - Iter [2500/160000] lr: 6.064e-05, eta: 10:34:21, time: 0.240, data_time: 0.004, memory: 36048, decode.loss_ce: 1.1268, decode.acc_seg: 51.7380, aux.loss_ce: 0.4877, aux.acc_seg: 50.9060, loss: 1.6145 2022-06-18 09:32:28,164 - mmseg - INFO - Iter [2550/160000] lr: 6.062e-05, eta: 10:35:46, time: 0.273, data_time: 0.048, memory: 36048, decode.loss_ce: 1.0786, decode.acc_seg: 52.1493, aux.loss_ce: 0.4677, aux.acc_seg: 51.3766, loss: 1.5463 2022-06-18 09:32:39,837 - mmseg - INFO - Iter [2600/160000] lr: 6.060e-05, eta: 10:35:06, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 1.1258, decode.acc_seg: 50.4472, aux.loss_ce: 0.4922, aux.acc_seg: 49.5412, loss: 1.6179 2022-06-18 09:32:51,527 - mmseg - INFO - Iter [2650/160000] lr: 6.058e-05, eta: 10:34:31, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 1.0114, decode.acc_seg: 54.7406, aux.loss_ce: 0.4410, aux.acc_seg: 53.6076, loss: 1.4525 2022-06-18 09:33:03,359 - mmseg - INFO - Iter [2700/160000] lr: 6.056e-05, eta: 10:34:01, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 1.0760, decode.acc_seg: 52.5535, aux.loss_ce: 0.4666, aux.acc_seg: 51.7510, loss: 1.5426 2022-06-18 09:33:15,209 - mmseg - INFO - Iter [2750/160000] lr: 6.054e-05, eta: 10:33:36, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 1.0497, decode.acc_seg: 54.2513, aux.loss_ce: 0.4612, aux.acc_seg: 53.0697, loss: 1.5109 2022-06-18 09:33:26,872 - mmseg - INFO - Iter [2800/160000] lr: 6.052e-05, eta: 10:33:00, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 1.0700, decode.acc_seg: 51.8454, aux.loss_ce: 0.4631, aux.acc_seg: 51.1530, loss: 1.5331 2022-06-18 09:33:38,598 - mmseg - INFO - Iter [2850/160000] lr: 6.050e-05, eta: 10:32:29, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 1.0532, decode.acc_seg: 52.4693, aux.loss_ce: 0.4599, aux.acc_seg: 51.2736, loss: 1.5131 2022-06-18 09:33:50,376 - mmseg - INFO - Iter [2900/160000] lr: 6.048e-05, eta: 10:32:01, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 1.0773, decode.acc_seg: 51.6984, aux.loss_ce: 0.4615, aux.acc_seg: 50.9852, loss: 1.5389 2022-06-18 09:34:02,270 - mmseg - INFO - Iter [2950/160000] lr: 6.047e-05, eta: 10:31:40, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 1.0506, decode.acc_seg: 52.0239, aux.loss_ce: 0.4480, aux.acc_seg: 51.4584, loss: 1.4986 2022-06-18 09:34:13,788 - mmseg - INFO - Saving checkpoint at 3000 iterations 2022-06-18 09:34:14,480 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 09:34:14,481 - mmseg - INFO - Iter [3000/160000] lr: 6.045e-05, eta: 10:31:35, time: 0.244, data_time: 0.003, memory: 36048, decode.loss_ce: 1.0231, decode.acc_seg: 53.4080, aux.loss_ce: 0.4390, aux.acc_seg: 52.7809, loss: 1.4621 2022-06-18 09:34:26,365 - mmseg - INFO - Iter [3050/160000] lr: 6.043e-05, eta: 10:31:13, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 1.0325, decode.acc_seg: 53.6233, aux.loss_ce: 0.4464, aux.acc_seg: 52.3559, loss: 1.4790 2022-06-18 09:34:37,893 - mmseg - INFO - Iter [3100/160000] lr: 6.041e-05, eta: 10:30:33, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 1.0565, decode.acc_seg: 53.8829, aux.loss_ce: 0.4537, aux.acc_seg: 53.1090, loss: 1.5102 2022-06-18 09:34:49,752 - mmseg - INFO - Iter [3150/160000] lr: 6.039e-05, eta: 10:30:12, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 1.0591, decode.acc_seg: 53.0727, aux.loss_ce: 0.4506, aux.acc_seg: 52.2511, loss: 1.5098 2022-06-18 09:35:01,420 - mmseg - INFO - Iter [3200/160000] lr: 6.037e-05, eta: 10:29:42, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 1.0142, decode.acc_seg: 54.0269, aux.loss_ce: 0.4360, aux.acc_seg: 53.4157, loss: 1.4502 2022-06-18 09:35:13,057 - mmseg - INFO - Iter [3250/160000] lr: 6.035e-05, eta: 10:29:09, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9969, decode.acc_seg: 53.5278, aux.loss_ce: 0.4308, aux.acc_seg: 52.4647, loss: 1.4276 2022-06-18 09:35:24,977 - mmseg - INFO - Iter [3300/160000] lr: 6.033e-05, eta: 10:28:52, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 1.0170, decode.acc_seg: 53.7719, aux.loss_ce: 0.4377, aux.acc_seg: 52.7303, loss: 1.4547 2022-06-18 09:35:36,797 - mmseg - INFO - Iter [3350/160000] lr: 6.031e-05, eta: 10:28:29, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 1.0713, decode.acc_seg: 51.8020, aux.loss_ce: 0.4541, aux.acc_seg: 50.9319, loss: 1.5255 2022-06-18 09:35:48,554 - mmseg - INFO - Iter [3400/160000] lr: 6.029e-05, eta: 10:28:05, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 1.0138, decode.acc_seg: 54.3009, aux.loss_ce: 0.4335, aux.acc_seg: 53.2638, loss: 1.4473 2022-06-18 09:36:00,341 - mmseg - INFO - Iter [3450/160000] lr: 6.027e-05, eta: 10:27:41, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 1.0137, decode.acc_seg: 54.1105, aux.loss_ce: 0.4342, aux.acc_seg: 53.0751, loss: 1.4479 2022-06-18 09:36:12,139 - mmseg - INFO - Iter [3500/160000] lr: 6.025e-05, eta: 10:27:18, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 1.0526, decode.acc_seg: 53.2603, aux.loss_ce: 0.4467, aux.acc_seg: 52.4939, loss: 1.4993 2022-06-18 09:36:23,977 - mmseg - INFO - Iter [3550/160000] lr: 6.023e-05, eta: 10:26:59, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 1.0011, decode.acc_seg: 53.2125, aux.loss_ce: 0.4282, aux.acc_seg: 52.3920, loss: 1.4293 2022-06-18 09:36:35,760 - mmseg - INFO - Iter [3600/160000] lr: 6.022e-05, eta: 10:26:35, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 1.0286, decode.acc_seg: 53.5209, aux.loss_ce: 0.4365, aux.acc_seg: 52.6702, loss: 1.4651 2022-06-18 09:36:47,288 - mmseg - INFO - Iter [3650/160000] lr: 6.020e-05, eta: 10:26:03, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 1.0447, decode.acc_seg: 52.5870, aux.loss_ce: 0.4422, aux.acc_seg: 51.5533, loss: 1.4869 2022-06-18 09:36:59,326 - mmseg - INFO - Iter [3700/160000] lr: 6.018e-05, eta: 10:25:52, time: 0.241, data_time: 0.003, memory: 36048, decode.loss_ce: 1.0298, decode.acc_seg: 55.0277, aux.loss_ce: 0.4429, aux.acc_seg: 53.9845, loss: 1.4727 2022-06-18 09:37:11,185 - mmseg - INFO - Iter [3750/160000] lr: 6.016e-05, eta: 10:25:33, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 1.0138, decode.acc_seg: 53.8557, aux.loss_ce: 0.4313, aux.acc_seg: 53.0368, loss: 1.4452 2022-06-18 09:37:24,883 - mmseg - INFO - Iter [3800/160000] lr: 6.014e-05, eta: 10:26:31, time: 0.274, data_time: 0.049, memory: 36048, decode.loss_ce: 0.9920, decode.acc_seg: 54.7740, aux.loss_ce: 0.4260, aux.acc_seg: 53.7241, loss: 1.4180 2022-06-18 09:37:36,458 - mmseg - INFO - Iter [3850/160000] lr: 6.012e-05, eta: 10:26:00, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9607, decode.acc_seg: 53.9990, aux.loss_ce: 0.4102, aux.acc_seg: 53.1375, loss: 1.3710 2022-06-18 09:37:48,097 - mmseg - INFO - Iter [3900/160000] lr: 6.010e-05, eta: 10:25:32, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9879, decode.acc_seg: 55.1919, aux.loss_ce: 0.4208, aux.acc_seg: 54.2122, loss: 1.4088 2022-06-18 09:37:59,482 - mmseg - INFO - Iter [3950/160000] lr: 6.008e-05, eta: 10:24:56, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9450, decode.acc_seg: 56.3693, aux.loss_ce: 0.4042, aux.acc_seg: 55.3832, loss: 1.3492 2022-06-18 09:38:11,326 - mmseg - INFO - Saving checkpoint at 4000 iterations 2022-06-18 09:38:12,010 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 09:38:12,010 - mmseg - INFO - Iter [4000/160000] lr: 6.006e-05, eta: 10:25:04, time: 0.251, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9522, decode.acc_seg: 55.7646, aux.loss_ce: 0.4068, aux.acc_seg: 54.9026, loss: 1.3590 2022-06-18 09:38:23,833 - mmseg - INFO - Iter [4050/160000] lr: 6.004e-05, eta: 10:24:44, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9382, decode.acc_seg: 54.8239, aux.loss_ce: 0.4071, aux.acc_seg: 53.7372, loss: 1.3454 2022-06-18 09:38:35,683 - mmseg - INFO - Iter [4100/160000] lr: 6.002e-05, eta: 10:24:25, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.9159, decode.acc_seg: 55.8071, aux.loss_ce: 0.3930, aux.acc_seg: 54.7076, loss: 1.3089 2022-06-18 09:38:47,433 - mmseg - INFO - Iter [4150/160000] lr: 6.000e-05, eta: 10:24:03, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9063, decode.acc_seg: 55.5539, aux.loss_ce: 0.3872, aux.acc_seg: 54.7983, loss: 1.2936 2022-06-18 09:38:59,449 - mmseg - INFO - Iter [4200/160000] lr: 5.998e-05, eta: 10:23:51, time: 0.240, data_time: 0.004, memory: 36048, decode.loss_ce: 0.9707, decode.acc_seg: 54.6435, aux.loss_ce: 0.4081, aux.acc_seg: 54.1292, loss: 1.3788 2022-06-18 09:39:10,989 - mmseg - INFO - Iter [4250/160000] lr: 5.997e-05, eta: 10:23:22, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9644, decode.acc_seg: 55.1741, aux.loss_ce: 0.4091, aux.acc_seg: 54.7163, loss: 1.3735 2022-06-18 09:39:22,913 - mmseg - INFO - Iter [4300/160000] lr: 5.995e-05, eta: 10:23:07, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9455, decode.acc_seg: 55.9726, aux.loss_ce: 0.4010, aux.acc_seg: 54.9342, loss: 1.3465 2022-06-18 09:39:34,770 - mmseg - INFO - Iter [4350/160000] lr: 5.993e-05, eta: 10:22:49, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9663, decode.acc_seg: 54.9081, aux.loss_ce: 0.4073, aux.acc_seg: 54.3671, loss: 1.3735 2022-06-18 09:39:46,581 - mmseg - INFO - Iter [4400/160000] lr: 5.991e-05, eta: 10:22:31, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.9726, decode.acc_seg: 54.5183, aux.loss_ce: 0.4125, aux.acc_seg: 53.8563, loss: 1.3850 2022-06-18 09:39:58,229 - mmseg - INFO - Iter [4450/160000] lr: 5.989e-05, eta: 10:22:07, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9283, decode.acc_seg: 55.6546, aux.loss_ce: 0.3935, aux.acc_seg: 54.9640, loss: 1.3218 2022-06-18 09:40:10,201 - mmseg - INFO - Iter [4500/160000] lr: 5.987e-05, eta: 10:21:54, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9256, decode.acc_seg: 55.2923, aux.loss_ce: 0.3916, aux.acc_seg: 54.7466, loss: 1.3172 2022-06-18 09:40:21,713 - mmseg - INFO - Iter [4550/160000] lr: 5.985e-05, eta: 10:21:25, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9577, decode.acc_seg: 54.6767, aux.loss_ce: 0.4056, aux.acc_seg: 54.1557, loss: 1.3633 2022-06-18 09:40:33,507 - mmseg - INFO - Iter [4600/160000] lr: 5.983e-05, eta: 10:21:06, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9743, decode.acc_seg: 55.2795, aux.loss_ce: 0.4107, aux.acc_seg: 54.9751, loss: 1.3851 2022-06-18 09:40:45,271 - mmseg - INFO - Iter [4650/160000] lr: 5.981e-05, eta: 10:20:47, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9080, decode.acc_seg: 56.5052, aux.loss_ce: 0.3848, aux.acc_seg: 56.0900, loss: 1.2927 2022-06-18 09:40:57,163 - mmseg - INFO - Iter [4700/160000] lr: 5.979e-05, eta: 10:20:31, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9576, decode.acc_seg: 56.7440, aux.loss_ce: 0.4050, aux.acc_seg: 55.7137, loss: 1.3626 2022-06-18 09:41:09,191 - mmseg - INFO - Iter [4750/160000] lr: 5.977e-05, eta: 10:20:21, time: 0.241, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9709, decode.acc_seg: 56.2220, aux.loss_ce: 0.4091, aux.acc_seg: 55.6107, loss: 1.3800 2022-06-18 09:41:21,064 - mmseg - INFO - Iter [4800/160000] lr: 5.975e-05, eta: 10:20:05, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9837, decode.acc_seg: 53.3429, aux.loss_ce: 0.4135, aux.acc_seg: 52.5086, loss: 1.3972 2022-06-18 09:41:33,108 - mmseg - INFO - Iter [4850/160000] lr: 5.973e-05, eta: 10:19:55, time: 0.241, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9392, decode.acc_seg: 55.1185, aux.loss_ce: 0.3974, aux.acc_seg: 54.5869, loss: 1.3367 2022-06-18 09:41:44,802 - mmseg - INFO - Iter [4900/160000] lr: 5.971e-05, eta: 10:19:34, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9038, decode.acc_seg: 55.3053, aux.loss_ce: 0.3807, aux.acc_seg: 54.4657, loss: 1.2845 2022-06-18 09:41:56,915 - mmseg - INFO - Iter [4950/160000] lr: 5.970e-05, eta: 10:19:26, time: 0.242, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8889, decode.acc_seg: 55.6234, aux.loss_ce: 0.3751, aux.acc_seg: 55.1228, loss: 1.2640 2022-06-18 09:42:08,602 - mmseg - INFO - Saving checkpoint at 5000 iterations 2022-06-18 09:42:09,306 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 09:42:09,306 - mmseg - INFO - Iter [5000/160000] lr: 5.968e-05, eta: 10:19:27, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9467, decode.acc_seg: 54.8742, aux.loss_ce: 0.3975, aux.acc_seg: 53.9851, loss: 1.3443 2022-06-18 09:42:20,822 - mmseg - INFO - Iter [5050/160000] lr: 5.966e-05, eta: 10:19:00, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9130, decode.acc_seg: 54.9191, aux.loss_ce: 0.3864, aux.acc_seg: 54.1159, loss: 1.2993 2022-06-18 09:42:35,121 - mmseg - INFO - Iter [5100/160000] lr: 5.964e-05, eta: 10:19:58, time: 0.286, data_time: 0.049, memory: 36048, decode.loss_ce: 0.9112, decode.acc_seg: 55.9703, aux.loss_ce: 0.3842, aux.acc_seg: 55.4264, loss: 1.2954 2022-06-18 09:42:46,782 - mmseg - INFO - Iter [5150/160000] lr: 5.962e-05, eta: 10:19:36, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8904, decode.acc_seg: 55.4581, aux.loss_ce: 0.3776, aux.acc_seg: 54.7345, loss: 1.2680 2022-06-18 09:42:58,539 - mmseg - INFO - Iter [5200/160000] lr: 5.960e-05, eta: 10:19:16, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9420, decode.acc_seg: 54.8547, aux.loss_ce: 0.3962, aux.acc_seg: 54.6013, loss: 1.3382 2022-06-18 09:43:10,207 - mmseg - INFO - Iter [5250/160000] lr: 5.958e-05, eta: 10:18:54, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9038, decode.acc_seg: 56.2192, aux.loss_ce: 0.3787, aux.acc_seg: 56.0308, loss: 1.2825 2022-06-18 09:43:22,092 - mmseg - INFO - Iter [5300/160000] lr: 5.956e-05, eta: 10:18:39, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9281, decode.acc_seg: 55.1217, aux.loss_ce: 0.3859, aux.acc_seg: 54.6948, loss: 1.3140 2022-06-18 09:43:33,714 - mmseg - INFO - Iter [5350/160000] lr: 5.954e-05, eta: 10:18:16, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8821, decode.acc_seg: 57.2303, aux.loss_ce: 0.3678, aux.acc_seg: 56.8948, loss: 1.2499 2022-06-18 09:43:45,600 - mmseg - INFO - Iter [5400/160000] lr: 5.952e-05, eta: 10:18:01, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9305, decode.acc_seg: 54.7706, aux.loss_ce: 0.3847, aux.acc_seg: 54.4327, loss: 1.3152 2022-06-18 09:43:57,174 - mmseg - INFO - Iter [5450/160000] lr: 5.950e-05, eta: 10:17:37, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8841, decode.acc_seg: 57.5196, aux.loss_ce: 0.3730, aux.acc_seg: 56.8966, loss: 1.2571 2022-06-18 09:44:08,908 - mmseg - INFO - Iter [5500/160000] lr: 5.948e-05, eta: 10:17:18, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9186, decode.acc_seg: 54.9845, aux.loss_ce: 0.3844, aux.acc_seg: 54.4474, loss: 1.3029 2022-06-18 09:44:20,602 - mmseg - INFO - Iter [5550/160000] lr: 5.946e-05, eta: 10:16:58, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8793, decode.acc_seg: 56.7600, aux.loss_ce: 0.3687, aux.acc_seg: 56.0933, loss: 1.2481 2022-06-18 09:44:32,532 - mmseg - INFO - Iter [5600/160000] lr: 5.945e-05, eta: 10:16:45, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8696, decode.acc_seg: 56.1051, aux.loss_ce: 0.3645, aux.acc_seg: 55.5699, loss: 1.2341 2022-06-18 09:44:44,346 - mmseg - INFO - Iter [5650/160000] lr: 5.943e-05, eta: 10:16:28, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9198, decode.acc_seg: 55.4227, aux.loss_ce: 0.3882, aux.acc_seg: 54.9044, loss: 1.3080 2022-06-18 09:44:56,289 - mmseg - INFO - Iter [5700/160000] lr: 5.941e-05, eta: 10:16:15, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.9013, decode.acc_seg: 55.3454, aux.loss_ce: 0.3826, aux.acc_seg: 54.6576, loss: 1.2839 2022-06-18 09:45:08,092 - mmseg - INFO - Iter [5750/160000] lr: 5.939e-05, eta: 10:15:58, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9482, decode.acc_seg: 54.0708, aux.loss_ce: 0.3951, aux.acc_seg: 53.5047, loss: 1.3433 2022-06-18 09:45:20,027 - mmseg - INFO - Iter [5800/160000] lr: 5.937e-05, eta: 10:15:45, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9301, decode.acc_seg: 55.3535, aux.loss_ce: 0.3855, aux.acc_seg: 54.9025, loss: 1.3156 2022-06-18 09:45:31,670 - mmseg - INFO - Iter [5850/160000] lr: 5.935e-05, eta: 10:15:24, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8685, decode.acc_seg: 56.0264, aux.loss_ce: 0.3638, aux.acc_seg: 55.4647, loss: 1.2323 2022-06-18 09:45:43,334 - mmseg - INFO - Iter [5900/160000] lr: 5.933e-05, eta: 10:15:04, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8908, decode.acc_seg: 56.3061, aux.loss_ce: 0.3745, aux.acc_seg: 55.7219, loss: 1.2653 2022-06-18 09:45:54,962 - mmseg - INFO - Iter [5950/160000] lr: 5.931e-05, eta: 10:14:43, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8901, decode.acc_seg: 54.4143, aux.loss_ce: 0.3702, aux.acc_seg: 54.4322, loss: 1.2603 2022-06-18 09:46:06,556 - mmseg - INFO - Saving checkpoint at 6000 iterations 2022-06-18 09:46:07,257 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 09:46:07,257 - mmseg - INFO - Iter [6000/160000] lr: 5.929e-05, eta: 10:14:39, time: 0.246, data_time: 0.003, memory: 36048, decode.loss_ce: 0.9663, decode.acc_seg: 56.5598, aux.loss_ce: 0.4000, aux.acc_seg: 56.0837, loss: 1.3662 2022-06-18 09:46:18,668 - mmseg - INFO - Iter [6050/160000] lr: 5.927e-05, eta: 10:14:13, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8818, decode.acc_seg: 57.2650, aux.loss_ce: 0.3667, aux.acc_seg: 56.6978, loss: 1.2485 2022-06-18 09:46:30,186 - mmseg - INFO - Iter [6100/160000] lr: 5.925e-05, eta: 10:13:50, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8938, decode.acc_seg: 55.6996, aux.loss_ce: 0.3747, aux.acc_seg: 55.2992, loss: 1.2685 2022-06-18 09:46:41,773 - mmseg - INFO - Iter [6150/160000] lr: 5.923e-05, eta: 10:13:28, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8621, decode.acc_seg: 57.3821, aux.loss_ce: 0.3640, aux.acc_seg: 56.5225, loss: 1.2261 2022-06-18 09:46:53,409 - mmseg - INFO - Iter [6200/160000] lr: 5.921e-05, eta: 10:13:08, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8480, decode.acc_seg: 57.5355, aux.loss_ce: 0.3567, aux.acc_seg: 56.7534, loss: 1.2047 2022-06-18 09:47:04,992 - mmseg - INFO - Iter [6250/160000] lr: 5.920e-05, eta: 10:12:47, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8465, decode.acc_seg: 56.1168, aux.loss_ce: 0.3552, aux.acc_seg: 55.4457, loss: 1.2017 2022-06-18 09:47:16,951 - mmseg - INFO - Iter [6300/160000] lr: 5.918e-05, eta: 10:12:35, time: 0.240, data_time: 0.004, memory: 36048, decode.loss_ce: 0.8577, decode.acc_seg: 56.9194, aux.loss_ce: 0.3592, aux.acc_seg: 56.3852, loss: 1.2169 2022-06-18 09:47:30,951 - mmseg - INFO - Iter [6350/160000] lr: 5.916e-05, eta: 10:13:12, time: 0.280, data_time: 0.048, memory: 36048, decode.loss_ce: 0.8758, decode.acc_seg: 56.2102, aux.loss_ce: 0.3671, aux.acc_seg: 55.7907, loss: 1.2429 2022-06-18 09:47:42,606 - mmseg - INFO - Iter [6400/160000] lr: 5.914e-05, eta: 10:12:53, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8459, decode.acc_seg: 58.1519, aux.loss_ce: 0.3583, aux.acc_seg: 57.4991, loss: 1.2042 2022-06-18 09:47:54,412 - mmseg - INFO - Iter [6450/160000] lr: 5.912e-05, eta: 10:12:37, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8377, decode.acc_seg: 57.1409, aux.loss_ce: 0.3508, aux.acc_seg: 56.5429, loss: 1.1885 2022-06-18 09:48:06,191 - mmseg - INFO - Iter [6500/160000] lr: 5.910e-05, eta: 10:12:20, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.8496, decode.acc_seg: 55.8461, aux.loss_ce: 0.3557, aux.acc_seg: 55.2761, loss: 1.2052 2022-06-18 09:48:17,890 - mmseg - INFO - Iter [6550/160000] lr: 5.908e-05, eta: 10:12:02, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.8661, decode.acc_seg: 57.6319, aux.loss_ce: 0.3613, aux.acc_seg: 57.1146, loss: 1.2273 2022-06-18 09:48:29,491 - mmseg - INFO - Iter [6600/160000] lr: 5.906e-05, eta: 10:11:42, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8011, decode.acc_seg: 58.4127, aux.loss_ce: 0.3352, aux.acc_seg: 57.9634, loss: 1.1363 2022-06-18 09:48:41,405 - mmseg - INFO - Iter [6650/160000] lr: 5.904e-05, eta: 10:11:28, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8048, decode.acc_seg: 57.5473, aux.loss_ce: 0.3436, aux.acc_seg: 56.5995, loss: 1.1484 2022-06-18 09:48:53,006 - mmseg - INFO - Iter [6700/160000] lr: 5.902e-05, eta: 10:11:08, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.8311, decode.acc_seg: 57.1848, aux.loss_ce: 0.3474, aux.acc_seg: 56.8058, loss: 1.1785 2022-06-18 09:49:04,732 - mmseg - INFO - Iter [6750/160000] lr: 5.900e-05, eta: 10:10:51, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8533, decode.acc_seg: 56.4688, aux.loss_ce: 0.3546, aux.acc_seg: 56.1163, loss: 1.2080 2022-06-18 09:49:16,685 - mmseg - INFO - Iter [6800/160000] lr: 5.898e-05, eta: 10:10:39, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8418, decode.acc_seg: 57.3484, aux.loss_ce: 0.3515, aux.acc_seg: 56.6917, loss: 1.1932 2022-06-18 09:49:28,645 - mmseg - INFO - Iter [6850/160000] lr: 5.896e-05, eta: 10:10:27, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8455, decode.acc_seg: 57.6585, aux.loss_ce: 0.3522, aux.acc_seg: 57.2370, loss: 1.1976 2022-06-18 09:49:40,369 - mmseg - INFO - Iter [6900/160000] lr: 5.894e-05, eta: 10:10:10, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.8713, decode.acc_seg: 56.8118, aux.loss_ce: 0.3634, aux.acc_seg: 56.4268, loss: 1.2347 2022-06-18 09:49:52,094 - mmseg - INFO - Iter [6950/160000] lr: 5.893e-05, eta: 10:09:53, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8783, decode.acc_seg: 57.0930, aux.loss_ce: 0.3682, aux.acc_seg: 56.4141, loss: 1.2465 2022-06-18 09:50:03,970 - mmseg - INFO - Saving checkpoint at 7000 iterations 2022-06-18 09:50:04,738 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 09:50:04,738 - mmseg - INFO - Iter [7000/160000] lr: 5.891e-05, eta: 10:09:56, time: 0.253, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8549, decode.acc_seg: 56.2654, aux.loss_ce: 0.3582, aux.acc_seg: 55.6049, loss: 1.2131 2022-06-18 09:50:16,669 - mmseg - INFO - Iter [7050/160000] lr: 5.889e-05, eta: 10:09:44, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8301, decode.acc_seg: 57.7586, aux.loss_ce: 0.3461, aux.acc_seg: 56.9892, loss: 1.1762 2022-06-18 09:50:28,154 - mmseg - INFO - Iter [7100/160000] lr: 5.887e-05, eta: 10:09:21, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8482, decode.acc_seg: 57.1486, aux.loss_ce: 0.3552, aux.acc_seg: 56.8177, loss: 1.2034 2022-06-18 09:50:39,900 - mmseg - INFO - Iter [7150/160000] lr: 5.885e-05, eta: 10:09:04, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8417, decode.acc_seg: 56.0501, aux.loss_ce: 0.3514, aux.acc_seg: 55.5182, loss: 1.1931 2022-06-18 09:50:51,583 - mmseg - INFO - Iter [7200/160000] lr: 5.883e-05, eta: 10:08:47, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.8704, decode.acc_seg: 56.5836, aux.loss_ce: 0.3650, aux.acc_seg: 56.2133, loss: 1.2354 2022-06-18 09:51:03,316 - mmseg - INFO - Iter [7250/160000] lr: 5.881e-05, eta: 10:08:31, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8731, decode.acc_seg: 56.2666, aux.loss_ce: 0.3616, aux.acc_seg: 55.6621, loss: 1.2347 2022-06-18 09:51:15,022 - mmseg - INFO - Iter [7300/160000] lr: 5.879e-05, eta: 10:08:14, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8472, decode.acc_seg: 57.4199, aux.loss_ce: 0.3520, aux.acc_seg: 57.1065, loss: 1.1992 2022-06-18 09:51:26,512 - mmseg - INFO - Iter [7350/160000] lr: 5.877e-05, eta: 10:07:52, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8547, decode.acc_seg: 58.6019, aux.loss_ce: 0.3595, aux.acc_seg: 58.0546, loss: 1.2142 2022-06-18 09:51:38,389 - mmseg - INFO - Iter [7400/160000] lr: 5.875e-05, eta: 10:07:38, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8917, decode.acc_seg: 56.5499, aux.loss_ce: 0.3698, aux.acc_seg: 56.0471, loss: 1.2615 2022-06-18 09:51:50,212 - mmseg - INFO - Iter [7450/160000] lr: 5.873e-05, eta: 10:07:24, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.8982, decode.acc_seg: 55.3096, aux.loss_ce: 0.3707, aux.acc_seg: 54.8091, loss: 1.2689 2022-06-18 09:52:01,781 - mmseg - INFO - Iter [7500/160000] lr: 5.871e-05, eta: 10:07:05, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8355, decode.acc_seg: 57.9040, aux.loss_ce: 0.3481, aux.acc_seg: 57.2988, loss: 1.1836 2022-06-18 09:52:13,617 - mmseg - INFO - Iter [7550/160000] lr: 5.869e-05, eta: 10:06:50, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8679, decode.acc_seg: 57.9966, aux.loss_ce: 0.3620, aux.acc_seg: 57.5702, loss: 1.2298 2022-06-18 09:52:27,292 - mmseg - INFO - Iter [7600/160000] lr: 5.868e-05, eta: 10:07:13, time: 0.274, data_time: 0.049, memory: 36048, decode.loss_ce: 0.8519, decode.acc_seg: 57.1070, aux.loss_ce: 0.3526, aux.acc_seg: 56.9815, loss: 1.2045 2022-06-18 09:52:38,923 - mmseg - INFO - Iter [7650/160000] lr: 5.866e-05, eta: 10:06:55, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8071, decode.acc_seg: 58.1479, aux.loss_ce: 0.3410, aux.acc_seg: 57.5979, loss: 1.1481 2022-06-18 09:52:50,623 - mmseg - INFO - Iter [7700/160000] lr: 5.864e-05, eta: 10:06:38, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7870, decode.acc_seg: 59.0894, aux.loss_ce: 0.3312, aux.acc_seg: 58.4460, loss: 1.1182 2022-06-18 09:53:02,036 - mmseg - INFO - Iter [7750/160000] lr: 5.862e-05, eta: 10:06:15, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8214, decode.acc_seg: 58.5752, aux.loss_ce: 0.3476, aux.acc_seg: 57.7267, loss: 1.1690 2022-06-18 09:53:13,720 - mmseg - INFO - Iter [7800/160000] lr: 5.860e-05, eta: 10:05:58, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8388, decode.acc_seg: 56.9158, aux.loss_ce: 0.3510, aux.acc_seg: 56.3677, loss: 1.1898 2022-06-18 09:53:25,515 - mmseg - INFO - Iter [7850/160000] lr: 5.858e-05, eta: 10:05:44, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7678, decode.acc_seg: 57.4843, aux.loss_ce: 0.3213, aux.acc_seg: 56.9326, loss: 1.0892 2022-06-18 09:53:37,102 - mmseg - INFO - Iter [7900/160000] lr: 5.856e-05, eta: 10:05:24, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8677, decode.acc_seg: 56.5054, aux.loss_ce: 0.3579, aux.acc_seg: 56.2411, loss: 1.2257 2022-06-18 09:53:48,915 - mmseg - INFO - Iter [7950/160000] lr: 5.854e-05, eta: 10:05:10, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.8338, decode.acc_seg: 57.6306, aux.loss_ce: 0.3452, aux.acc_seg: 57.2970, loss: 1.1790 2022-06-18 09:54:00,853 - mmseg - INFO - Saving checkpoint at 8000 iterations 2022-06-18 09:54:01,559 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 09:54:01,560 - mmseg - INFO - Iter [8000/160000] lr: 5.852e-05, eta: 10:05:12, time: 0.253, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7910, decode.acc_seg: 56.4524, aux.loss_ce: 0.3305, aux.acc_seg: 55.6967, loss: 1.1216 2022-06-18 09:54:13,202 - mmseg - INFO - Iter [8050/160000] lr: 5.850e-05, eta: 10:04:54, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7980, decode.acc_seg: 58.2883, aux.loss_ce: 0.3353, aux.acc_seg: 57.8390, loss: 1.1332 2022-06-18 09:54:24,851 - mmseg - INFO - Iter [8100/160000] lr: 5.848e-05, eta: 10:04:37, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7977, decode.acc_seg: 57.1362, aux.loss_ce: 0.3361, aux.acc_seg: 56.3351, loss: 1.1338 2022-06-18 09:54:36,674 - mmseg - INFO - Iter [8150/160000] lr: 5.846e-05, eta: 10:04:22, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8120, decode.acc_seg: 57.5000, aux.loss_ce: 0.3420, aux.acc_seg: 57.1450, loss: 1.1539 2022-06-18 09:54:48,358 - mmseg - INFO - Iter [8200/160000] lr: 5.844e-05, eta: 10:04:06, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8400, decode.acc_seg: 57.2398, aux.loss_ce: 0.3492, aux.acc_seg: 56.8351, loss: 1.1893 2022-06-18 09:54:59,901 - mmseg - INFO - Iter [8250/160000] lr: 5.843e-05, eta: 10:03:46, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8525, decode.acc_seg: 57.3523, aux.loss_ce: 0.3570, aux.acc_seg: 56.7794, loss: 1.2095 2022-06-18 09:55:11,401 - mmseg - INFO - Iter [8300/160000] lr: 5.841e-05, eta: 10:03:27, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8618, decode.acc_seg: 56.9142, aux.loss_ce: 0.3586, aux.acc_seg: 56.4909, loss: 1.2204 2022-06-18 09:55:23,145 - mmseg - INFO - Iter [8350/160000] lr: 5.839e-05, eta: 10:03:11, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8094, decode.acc_seg: 56.9190, aux.loss_ce: 0.3388, aux.acc_seg: 56.3867, loss: 1.1482 2022-06-18 09:55:34,742 - mmseg - INFO - Iter [8400/160000] lr: 5.837e-05, eta: 10:02:53, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8068, decode.acc_seg: 57.8755, aux.loss_ce: 0.3373, aux.acc_seg: 57.3899, loss: 1.1441 2022-06-18 09:55:46,350 - mmseg - INFO - Iter [8450/160000] lr: 5.835e-05, eta: 10:02:35, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8091, decode.acc_seg: 57.8722, aux.loss_ce: 0.3380, aux.acc_seg: 57.3495, loss: 1.1471 2022-06-18 09:55:58,105 - mmseg - INFO - Iter [8500/160000] lr: 5.833e-05, eta: 10:02:20, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8081, decode.acc_seg: 57.8925, aux.loss_ce: 0.3382, aux.acc_seg: 57.5494, loss: 1.1463 2022-06-18 09:56:09,702 - mmseg - INFO - Iter [8550/160000] lr: 5.831e-05, eta: 10:02:03, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8051, decode.acc_seg: 58.1135, aux.loss_ce: 0.3316, aux.acc_seg: 57.6666, loss: 1.1367 2022-06-18 09:56:21,644 - mmseg - INFO - Iter [8600/160000] lr: 5.829e-05, eta: 10:01:51, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8490, decode.acc_seg: 58.3155, aux.loss_ce: 0.3532, aux.acc_seg: 57.8113, loss: 1.2022 2022-06-18 09:56:33,414 - mmseg - INFO - Iter [8650/160000] lr: 5.827e-05, eta: 10:01:36, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8198, decode.acc_seg: 57.7605, aux.loss_ce: 0.3408, aux.acc_seg: 57.5769, loss: 1.1606 2022-06-18 09:56:45,347 - mmseg - INFO - Iter [8700/160000] lr: 5.825e-05, eta: 10:01:25, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8317, decode.acc_seg: 57.4867, aux.loss_ce: 0.3492, aux.acc_seg: 56.7383, loss: 1.1809 2022-06-18 09:56:57,001 - mmseg - INFO - Iter [8750/160000] lr: 5.823e-05, eta: 10:01:08, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8433, decode.acc_seg: 57.0509, aux.loss_ce: 0.3505, aux.acc_seg: 56.9167, loss: 1.1938 2022-06-18 09:57:09,027 - mmseg - INFO - Iter [8800/160000] lr: 5.821e-05, eta: 10:00:58, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7925, decode.acc_seg: 58.3980, aux.loss_ce: 0.3309, aux.acc_seg: 58.1357, loss: 1.1235 2022-06-18 09:57:22,861 - mmseg - INFO - Iter [8850/160000] lr: 5.819e-05, eta: 10:01:18, time: 0.277, data_time: 0.047, memory: 36048, decode.loss_ce: 0.7948, decode.acc_seg: 58.2857, aux.loss_ce: 0.3353, aux.acc_seg: 57.4729, loss: 1.1301 2022-06-18 09:57:34,318 - mmseg - INFO - Iter [8900/160000] lr: 5.817e-05, eta: 10:00:58, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7939, decode.acc_seg: 57.6032, aux.loss_ce: 0.3327, aux.acc_seg: 57.1028, loss: 1.1266 2022-06-18 09:57:45,917 - mmseg - INFO - Iter [8950/160000] lr: 5.816e-05, eta: 10:00:41, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7332, decode.acc_seg: 59.7209, aux.loss_ce: 0.3104, aux.acc_seg: 58.9574, loss: 1.0436 2022-06-18 09:57:57,763 - mmseg - INFO - Saving checkpoint at 9000 iterations 2022-06-18 09:57:58,445 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 09:57:58,445 - mmseg - INFO - Iter [9000/160000] lr: 5.814e-05, eta: 10:00:39, time: 0.251, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7604, decode.acc_seg: 58.1603, aux.loss_ce: 0.3164, aux.acc_seg: 57.6102, loss: 1.0768 2022-06-18 09:58:09,979 - mmseg - INFO - Iter [9050/160000] lr: 5.812e-05, eta: 10:00:20, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7635, decode.acc_seg: 59.7447, aux.loss_ce: 0.3194, aux.acc_seg: 59.2407, loss: 1.0829 2022-06-18 09:58:21,432 - mmseg - INFO - Iter [9100/160000] lr: 5.810e-05, eta: 10:00:01, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7512, decode.acc_seg: 57.4707, aux.loss_ce: 0.3147, aux.acc_seg: 56.8306, loss: 1.0659 2022-06-18 09:58:33,191 - mmseg - INFO - Iter [9150/160000] lr: 5.808e-05, eta: 9:59:46, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7933, decode.acc_seg: 58.0175, aux.loss_ce: 0.3318, aux.acc_seg: 57.2902, loss: 1.1251 2022-06-18 09:58:44,844 - mmseg - INFO - Iter [9200/160000] lr: 5.806e-05, eta: 9:59:29, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7819, decode.acc_seg: 58.6008, aux.loss_ce: 0.3278, aux.acc_seg: 58.1132, loss: 1.1097 2022-06-18 09:58:56,488 - mmseg - INFO - Iter [9250/160000] lr: 5.804e-05, eta: 9:59:13, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7949, decode.acc_seg: 59.2031, aux.loss_ce: 0.3322, aux.acc_seg: 58.3491, loss: 1.1271 2022-06-18 09:59:08,223 - mmseg - INFO - Iter [9300/160000] lr: 5.802e-05, eta: 9:58:58, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7494, decode.acc_seg: 59.7034, aux.loss_ce: 0.3144, aux.acc_seg: 59.0363, loss: 1.0638 2022-06-18 09:59:19,835 - mmseg - INFO - Iter [9350/160000] lr: 5.800e-05, eta: 9:58:41, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8141, decode.acc_seg: 58.1615, aux.loss_ce: 0.3392, aux.acc_seg: 57.7080, loss: 1.1532 2022-06-18 09:59:31,952 - mmseg - INFO - Iter [9400/160000] lr: 5.798e-05, eta: 9:58:32, time: 0.242, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7852, decode.acc_seg: 58.5417, aux.loss_ce: 0.3273, aux.acc_seg: 58.1337, loss: 1.1125 2022-06-18 09:59:43,452 - mmseg - INFO - Iter [9450/160000] lr: 5.796e-05, eta: 9:58:13, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.7926, decode.acc_seg: 59.2838, aux.loss_ce: 0.3322, aux.acc_seg: 58.7304, loss: 1.1248 2022-06-18 09:59:55,242 - mmseg - INFO - Iter [9500/160000] lr: 5.794e-05, eta: 9:57:59, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8102, decode.acc_seg: 58.0262, aux.loss_ce: 0.3371, aux.acc_seg: 57.5971, loss: 1.1473 2022-06-18 10:00:06,661 - mmseg - INFO - Iter [9550/160000] lr: 5.792e-05, eta: 9:57:39, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7870, decode.acc_seg: 57.9510, aux.loss_ce: 0.3269, aux.acc_seg: 57.6794, loss: 1.1138 2022-06-18 10:00:18,030 - mmseg - INFO - Iter [9600/160000] lr: 5.791e-05, eta: 9:57:19, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8066, decode.acc_seg: 59.2617, aux.loss_ce: 0.3348, aux.acc_seg: 58.7751, loss: 1.1413 2022-06-18 10:00:29,848 - mmseg - INFO - Iter [9650/160000] lr: 5.789e-05, eta: 9:57:06, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.7711, decode.acc_seg: 59.2682, aux.loss_ce: 0.3210, aux.acc_seg: 58.7121, loss: 1.0921 2022-06-18 10:00:41,497 - mmseg - INFO - Iter [9700/160000] lr: 5.787e-05, eta: 9:56:49, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8165, decode.acc_seg: 58.0042, aux.loss_ce: 0.3407, aux.acc_seg: 57.4221, loss: 1.1572 2022-06-18 10:00:53,016 - mmseg - INFO - Iter [9750/160000] lr: 5.785e-05, eta: 9:56:31, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7503, decode.acc_seg: 57.5072, aux.loss_ce: 0.3126, aux.acc_seg: 57.3242, loss: 1.0629 2022-06-18 10:01:04,752 - mmseg - INFO - Iter [9800/160000] lr: 5.783e-05, eta: 9:56:17, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7930, decode.acc_seg: 58.7212, aux.loss_ce: 0.3316, aux.acc_seg: 58.2958, loss: 1.1246 2022-06-18 10:01:16,527 - mmseg - INFO - Iter [9850/160000] lr: 5.781e-05, eta: 9:56:03, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7463, decode.acc_seg: 57.9436, aux.loss_ce: 0.3100, aux.acc_seg: 57.7904, loss: 1.0563 2022-06-18 10:01:28,147 - mmseg - INFO - Iter [9900/160000] lr: 5.779e-05, eta: 9:55:47, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8066, decode.acc_seg: 57.9076, aux.loss_ce: 0.3348, aux.acc_seg: 57.4451, loss: 1.1413 2022-06-18 10:01:40,138 - mmseg - INFO - Iter [9950/160000] lr: 5.777e-05, eta: 9:55:36, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8286, decode.acc_seg: 57.3633, aux.loss_ce: 0.3429, aux.acc_seg: 56.7848, loss: 1.1715 2022-06-18 10:01:51,838 - mmseg - INFO - Saving checkpoint at 10000 iterations 2022-06-18 10:01:52,526 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 10:01:52,526 - mmseg - INFO - Iter [10000/160000] lr: 5.775e-05, eta: 9:55:31, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7881, decode.acc_seg: 58.6789, aux.loss_ce: 0.3296, aux.acc_seg: 58.0836, loss: 1.1177 2022-06-18 10:02:04,234 - mmseg - INFO - Iter [10050/160000] lr: 5.773e-05, eta: 9:55:16, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7491, decode.acc_seg: 58.7286, aux.loss_ce: 0.3142, aux.acc_seg: 58.0717, loss: 1.0633 2022-06-18 10:02:15,784 - mmseg - INFO - Iter [10100/160000] lr: 5.771e-05, eta: 9:54:59, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7942, decode.acc_seg: 59.0314, aux.loss_ce: 0.3333, aux.acc_seg: 58.5992, loss: 1.1275 2022-06-18 10:02:29,836 - mmseg - INFO - Iter [10150/160000] lr: 5.769e-05, eta: 9:55:19, time: 0.281, data_time: 0.049, memory: 36048, decode.loss_ce: 0.7613, decode.acc_seg: 60.2706, aux.loss_ce: 0.3206, aux.acc_seg: 59.6956, loss: 1.0819 2022-06-18 10:02:41,494 - mmseg - INFO - Iter [10200/160000] lr: 5.767e-05, eta: 9:55:03, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7941, decode.acc_seg: 59.7489, aux.loss_ce: 0.3349, aux.acc_seg: 59.3225, loss: 1.1290 2022-06-18 10:02:53,138 - mmseg - INFO - Iter [10250/160000] lr: 5.766e-05, eta: 9:54:47, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7554, decode.acc_seg: 58.2699, aux.loss_ce: 0.3150, aux.acc_seg: 58.0021, loss: 1.0704 2022-06-18 10:03:04,907 - mmseg - INFO - Iter [10300/160000] lr: 5.764e-05, eta: 9:54:33, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7676, decode.acc_seg: 59.5572, aux.loss_ce: 0.3220, aux.acc_seg: 58.8595, loss: 1.0896 2022-06-18 10:03:16,695 - mmseg - INFO - Iter [10350/160000] lr: 5.762e-05, eta: 9:54:19, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7406, decode.acc_seg: 57.9628, aux.loss_ce: 0.3079, aux.acc_seg: 57.2970, loss: 1.0485 2022-06-18 10:03:28,546 - mmseg - INFO - Iter [10400/160000] lr: 5.760e-05, eta: 9:54:06, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7241, decode.acc_seg: 59.6835, aux.loss_ce: 0.3054, aux.acc_seg: 58.9287, loss: 1.0295 2022-06-18 10:03:40,299 - mmseg - INFO - Iter [10450/160000] lr: 5.758e-05, eta: 9:53:52, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.7105, decode.acc_seg: 58.7157, aux.loss_ce: 0.2964, aux.acc_seg: 58.2603, loss: 1.0069 2022-06-18 10:03:52,060 - mmseg - INFO - Iter [10500/160000] lr: 5.756e-05, eta: 9:53:38, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.7654, decode.acc_seg: 59.0914, aux.loss_ce: 0.3231, aux.acc_seg: 58.4589, loss: 1.0886 2022-06-18 10:04:03,853 - mmseg - INFO - Iter [10550/160000] lr: 5.754e-05, eta: 9:53:24, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.7862, decode.acc_seg: 59.4630, aux.loss_ce: 0.3280, aux.acc_seg: 58.8002, loss: 1.1142 2022-06-18 10:04:15,486 - mmseg - INFO - Iter [10600/160000] lr: 5.752e-05, eta: 9:53:09, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7467, decode.acc_seg: 59.0008, aux.loss_ce: 0.3125, aux.acc_seg: 58.2467, loss: 1.0592 2022-06-18 10:04:27,190 - mmseg - INFO - Iter [10650/160000] lr: 5.750e-05, eta: 9:52:54, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8048, decode.acc_seg: 58.2661, aux.loss_ce: 0.3381, aux.acc_seg: 57.6367, loss: 1.1429 2022-06-18 10:04:38,850 - mmseg - INFO - Iter [10700/160000] lr: 5.748e-05, eta: 9:52:39, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7892, decode.acc_seg: 58.1788, aux.loss_ce: 0.3299, aux.acc_seg: 57.6705, loss: 1.1192 2022-06-18 10:04:50,346 - mmseg - INFO - Iter [10750/160000] lr: 5.746e-05, eta: 9:52:21, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7869, decode.acc_seg: 60.1217, aux.loss_ce: 0.3294, aux.acc_seg: 59.3109, loss: 1.1163 2022-06-18 10:05:01,920 - mmseg - INFO - Iter [10800/160000] lr: 5.744e-05, eta: 9:52:05, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7620, decode.acc_seg: 57.4051, aux.loss_ce: 0.3168, aux.acc_seg: 57.0602, loss: 1.0788 2022-06-18 10:05:13,635 - mmseg - INFO - Iter [10850/160000] lr: 5.742e-05, eta: 9:51:50, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7808, decode.acc_seg: 57.4946, aux.loss_ce: 0.3252, aux.acc_seg: 57.1285, loss: 1.1060 2022-06-18 10:05:25,530 - mmseg - INFO - Iter [10900/160000] lr: 5.740e-05, eta: 9:51:38, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.8216, decode.acc_seg: 59.0289, aux.loss_ce: 0.3396, aux.acc_seg: 58.5935, loss: 1.1611 2022-06-18 10:05:37,398 - mmseg - INFO - Iter [10950/160000] lr: 5.739e-05, eta: 9:51:25, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7765, decode.acc_seg: 57.3838, aux.loss_ce: 0.3241, aux.acc_seg: 57.0463, loss: 1.1006 2022-06-18 10:05:49,468 - mmseg - INFO - Saving checkpoint at 11000 iterations 2022-06-18 10:05:50,160 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 10:05:50,160 - mmseg - INFO - Iter [11000/160000] lr: 5.737e-05, eta: 9:51:25, time: 0.255, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7303, decode.acc_seg: 57.7025, aux.loss_ce: 0.3055, aux.acc_seg: 57.2010, loss: 1.0359 2022-06-18 10:06:01,916 - mmseg - INFO - Iter [11050/160000] lr: 5.735e-05, eta: 9:51:11, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7613, decode.acc_seg: 58.3867, aux.loss_ce: 0.3154, aux.acc_seg: 58.1963, loss: 1.0767 2022-06-18 10:06:13,486 - mmseg - INFO - Iter [11100/160000] lr: 5.733e-05, eta: 9:50:55, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7651, decode.acc_seg: 58.3263, aux.loss_ce: 0.3214, aux.acc_seg: 57.6450, loss: 1.0865 2022-06-18 10:06:25,098 - mmseg - INFO - Iter [11150/160000] lr: 5.731e-05, eta: 9:50:39, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7475, decode.acc_seg: 59.7241, aux.loss_ce: 0.3124, aux.acc_seg: 59.0591, loss: 1.0599 2022-06-18 10:06:36,639 - mmseg - INFO - Iter [11200/160000] lr: 5.729e-05, eta: 9:50:22, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7661, decode.acc_seg: 60.0227, aux.loss_ce: 0.3187, aux.acc_seg: 59.6327, loss: 1.0848 2022-06-18 10:06:48,404 - mmseg - INFO - Iter [11250/160000] lr: 5.727e-05, eta: 9:50:09, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.8146, decode.acc_seg: 58.4965, aux.loss_ce: 0.3364, aux.acc_seg: 58.1367, loss: 1.1511 2022-06-18 10:07:00,384 - mmseg - INFO - Iter [11300/160000] lr: 5.725e-05, eta: 9:49:58, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7972, decode.acc_seg: 59.6415, aux.loss_ce: 0.3358, aux.acc_seg: 58.8657, loss: 1.1330 2022-06-18 10:07:11,983 - mmseg - INFO - Iter [11350/160000] lr: 5.723e-05, eta: 9:49:42, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7164, decode.acc_seg: 59.2660, aux.loss_ce: 0.2999, aux.acc_seg: 58.7104, loss: 1.0163 2022-06-18 10:07:25,832 - mmseg - INFO - Iter [11400/160000] lr: 5.721e-05, eta: 9:49:55, time: 0.277, data_time: 0.048, memory: 36048, decode.loss_ce: 0.7343, decode.acc_seg: 59.8334, aux.loss_ce: 0.3082, aux.acc_seg: 59.4587, loss: 1.0425 2022-06-18 10:07:37,367 - mmseg - INFO - Iter [11450/160000] lr: 5.719e-05, eta: 9:49:39, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6906, decode.acc_seg: 60.6387, aux.loss_ce: 0.2884, aux.acc_seg: 60.3768, loss: 0.9790 2022-06-18 10:07:49,010 - mmseg - INFO - Iter [11500/160000] lr: 5.717e-05, eta: 9:49:23, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7291, decode.acc_seg: 59.5329, aux.loss_ce: 0.3049, aux.acc_seg: 59.0719, loss: 1.0340 2022-06-18 10:08:00,430 - mmseg - INFO - Iter [11550/160000] lr: 5.715e-05, eta: 9:49:05, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7367, decode.acc_seg: 59.4889, aux.loss_ce: 0.3093, aux.acc_seg: 58.9591, loss: 1.0460 2022-06-18 10:08:12,089 - mmseg - INFO - Iter [11600/160000] lr: 5.714e-05, eta: 9:48:50, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7441, decode.acc_seg: 60.3711, aux.loss_ce: 0.3096, aux.acc_seg: 59.7776, loss: 1.0537 2022-06-18 10:08:23,690 - mmseg - INFO - Iter [11650/160000] lr: 5.712e-05, eta: 9:48:34, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7637, decode.acc_seg: 57.2952, aux.loss_ce: 0.3189, aux.acc_seg: 56.9195, loss: 1.0825 2022-06-18 10:08:35,644 - mmseg - INFO - Iter [11700/160000] lr: 5.710e-05, eta: 9:48:23, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7789, decode.acc_seg: 58.5570, aux.loss_ce: 0.3257, aux.acc_seg: 57.8849, loss: 1.1047 2022-06-18 10:08:47,344 - mmseg - INFO - Iter [11750/160000] lr: 5.708e-05, eta: 9:48:08, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7348, decode.acc_seg: 59.1959, aux.loss_ce: 0.3053, aux.acc_seg: 58.8424, loss: 1.0402 2022-06-18 10:08:58,845 - mmseg - INFO - Iter [11800/160000] lr: 5.706e-05, eta: 9:47:51, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7563, decode.acc_seg: 58.7243, aux.loss_ce: 0.3182, aux.acc_seg: 58.1809, loss: 1.0744 2022-06-18 10:09:10,493 - mmseg - INFO - Iter [11850/160000] lr: 5.704e-05, eta: 9:47:36, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7502, decode.acc_seg: 59.8639, aux.loss_ce: 0.3118, aux.acc_seg: 59.0558, loss: 1.0620 2022-06-18 10:09:22,100 - mmseg - INFO - Iter [11900/160000] lr: 5.702e-05, eta: 9:47:21, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7511, decode.acc_seg: 59.5945, aux.loss_ce: 0.3137, aux.acc_seg: 59.3300, loss: 1.0648 2022-06-18 10:09:33,606 - mmseg - INFO - Iter [11950/160000] lr: 5.700e-05, eta: 9:47:04, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7199, decode.acc_seg: 59.1877, aux.loss_ce: 0.3033, aux.acc_seg: 58.6597, loss: 1.0232 2022-06-18 10:09:45,194 - mmseg - INFO - Saving checkpoint at 12000 iterations 2022-06-18 10:09:45,899 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 10:09:45,899 - mmseg - INFO - Iter [12000/160000] lr: 5.698e-05, eta: 9:46:57, time: 0.246, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7130, decode.acc_seg: 60.2904, aux.loss_ce: 0.2978, aux.acc_seg: 59.8074, loss: 1.0109 2022-06-18 10:09:57,551 - mmseg - INFO - Iter [12050/160000] lr: 5.696e-05, eta: 9:46:42, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7244, decode.acc_seg: 59.9983, aux.loss_ce: 0.3070, aux.acc_seg: 59.1663, loss: 1.0314 2022-06-18 10:10:09,115 - mmseg - INFO - Iter [12100/160000] lr: 5.694e-05, eta: 9:46:26, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7637, decode.acc_seg: 58.7823, aux.loss_ce: 0.3191, aux.acc_seg: 58.0799, loss: 1.0828 2022-06-18 10:10:20,837 - mmseg - INFO - Iter [12150/160000] lr: 5.692e-05, eta: 9:46:12, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7364, decode.acc_seg: 60.2965, aux.loss_ce: 0.3080, aux.acc_seg: 59.8164, loss: 1.0443 2022-06-18 10:10:32,605 - mmseg - INFO - Iter [12200/160000] lr: 5.690e-05, eta: 9:45:59, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.7183, decode.acc_seg: 59.7867, aux.loss_ce: 0.2990, aux.acc_seg: 59.2319, loss: 1.0173 2022-06-18 10:10:44,332 - mmseg - INFO - Iter [12250/160000] lr: 5.689e-05, eta: 9:45:45, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7467, decode.acc_seg: 60.1743, aux.loss_ce: 0.3155, aux.acc_seg: 59.4706, loss: 1.0622 2022-06-18 10:10:55,909 - mmseg - INFO - Iter [12300/160000] lr: 5.687e-05, eta: 9:45:29, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7910, decode.acc_seg: 57.2966, aux.loss_ce: 0.3326, aux.acc_seg: 56.7448, loss: 1.1236 2022-06-18 10:11:07,681 - mmseg - INFO - Iter [12350/160000] lr: 5.685e-05, eta: 9:45:16, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7389, decode.acc_seg: 59.1753, aux.loss_ce: 0.3059, aux.acc_seg: 58.6513, loss: 1.0448 2022-06-18 10:11:19,383 - mmseg - INFO - Iter [12400/160000] lr: 5.683e-05, eta: 9:45:02, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7595, decode.acc_seg: 60.3654, aux.loss_ce: 0.3172, aux.acc_seg: 59.5589, loss: 1.0767 2022-06-18 10:11:31,088 - mmseg - INFO - Iter [12450/160000] lr: 5.681e-05, eta: 9:44:48, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7731, decode.acc_seg: 59.1360, aux.loss_ce: 0.3227, aux.acc_seg: 58.5798, loss: 1.0958 2022-06-18 10:11:42,704 - mmseg - INFO - Iter [12500/160000] lr: 5.679e-05, eta: 9:44:33, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7608, decode.acc_seg: 58.0496, aux.loss_ce: 0.3131, aux.acc_seg: 57.8546, loss: 1.0739 2022-06-18 10:11:54,404 - mmseg - INFO - Iter [12550/160000] lr: 5.677e-05, eta: 9:44:18, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7426, decode.acc_seg: 59.6114, aux.loss_ce: 0.3107, aux.acc_seg: 58.9537, loss: 1.0533 2022-06-18 10:12:06,368 - mmseg - INFO - Iter [12600/160000] lr: 5.675e-05, eta: 9:44:07, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7549, decode.acc_seg: 58.7730, aux.loss_ce: 0.3140, aux.acc_seg: 58.1848, loss: 1.0689 2022-06-18 10:12:20,179 - mmseg - INFO - Iter [12650/160000] lr: 5.673e-05, eta: 9:44:18, time: 0.277, data_time: 0.047, memory: 36048, decode.loss_ce: 0.7483, decode.acc_seg: 60.4935, aux.loss_ce: 0.3141, aux.acc_seg: 59.6467, loss: 1.0624 2022-06-18 10:12:31,908 - mmseg - INFO - Iter [12700/160000] lr: 5.671e-05, eta: 9:44:04, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7326, decode.acc_seg: 60.0932, aux.loss_ce: 0.3076, aux.acc_seg: 59.3771, loss: 1.0403 2022-06-18 10:12:43,529 - mmseg - INFO - Iter [12750/160000] lr: 5.669e-05, eta: 9:43:49, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7317, decode.acc_seg: 59.2668, aux.loss_ce: 0.3061, aux.acc_seg: 58.7986, loss: 1.0378 2022-06-18 10:12:55,370 - mmseg - INFO - Iter [12800/160000] lr: 5.667e-05, eta: 9:43:36, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7027, decode.acc_seg: 60.1103, aux.loss_ce: 0.2952, aux.acc_seg: 59.3813, loss: 0.9979 2022-06-18 10:13:07,159 - mmseg - INFO - Iter [12850/160000] lr: 5.665e-05, eta: 9:43:23, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7546, decode.acc_seg: 58.3196, aux.loss_ce: 0.3160, aux.acc_seg: 57.8623, loss: 1.0706 2022-06-18 10:13:18,933 - mmseg - INFO - Iter [12900/160000] lr: 5.663e-05, eta: 9:43:10, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7360, decode.acc_seg: 59.1056, aux.loss_ce: 0.3105, aux.acc_seg: 58.2482, loss: 1.0464 2022-06-18 10:13:30,564 - mmseg - INFO - Iter [12950/160000] lr: 5.662e-05, eta: 9:42:55, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7109, decode.acc_seg: 59.4269, aux.loss_ce: 0.3004, aux.acc_seg: 58.6581, loss: 1.0113 2022-06-18 10:13:42,284 - mmseg - INFO - Saving checkpoint at 13000 iterations 2022-06-18 10:13:42,983 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 10:13:42,983 - mmseg - INFO - Iter [13000/160000] lr: 5.660e-05, eta: 9:42:49, time: 0.249, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7423, decode.acc_seg: 60.0378, aux.loss_ce: 0.3107, aux.acc_seg: 59.7741, loss: 1.0529 2022-06-18 10:13:54,652 - mmseg - INFO - Iter [13050/160000] lr: 5.658e-05, eta: 9:42:35, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7192, decode.acc_seg: 60.5707, aux.loss_ce: 0.3025, aux.acc_seg: 59.7977, loss: 1.0217 2022-06-18 10:14:06,346 - mmseg - INFO - Iter [13100/160000] lr: 5.656e-05, eta: 9:42:21, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.7269, decode.acc_seg: 59.8754, aux.loss_ce: 0.3028, aux.acc_seg: 59.3499, loss: 1.0297 2022-06-18 10:14:18,152 - mmseg - INFO - Iter [13150/160000] lr: 5.654e-05, eta: 9:42:08, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7319, decode.acc_seg: 59.6674, aux.loss_ce: 0.3049, aux.acc_seg: 59.2661, loss: 1.0368 2022-06-18 10:14:29,972 - mmseg - INFO - Iter [13200/160000] lr: 5.652e-05, eta: 9:41:55, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7394, decode.acc_seg: 59.5835, aux.loss_ce: 0.3094, aux.acc_seg: 59.0698, loss: 1.0488 2022-06-18 10:14:41,643 - mmseg - INFO - Iter [13250/160000] lr: 5.650e-05, eta: 9:41:41, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7185, decode.acc_seg: 59.9076, aux.loss_ce: 0.3034, aux.acc_seg: 59.1793, loss: 1.0218 2022-06-18 10:14:53,306 - mmseg - INFO - Iter [13300/160000] lr: 5.648e-05, eta: 9:41:26, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7465, decode.acc_seg: 57.4007, aux.loss_ce: 0.3093, aux.acc_seg: 56.8773, loss: 1.0558 2022-06-18 10:15:05,176 - mmseg - INFO - Iter [13350/160000] lr: 5.646e-05, eta: 9:41:14, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7355, decode.acc_seg: 60.8453, aux.loss_ce: 0.3071, aux.acc_seg: 60.5032, loss: 1.0426 2022-06-18 10:15:16,844 - mmseg - INFO - Iter [13400/160000] lr: 5.644e-05, eta: 9:41:00, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7150, decode.acc_seg: 59.2374, aux.loss_ce: 0.2999, aux.acc_seg: 58.7790, loss: 1.0149 2022-06-18 10:15:28,765 - mmseg - INFO - Iter [13450/160000] lr: 5.642e-05, eta: 9:40:48, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7090, decode.acc_seg: 59.5007, aux.loss_ce: 0.2966, aux.acc_seg: 58.8886, loss: 1.0055 2022-06-18 10:15:40,626 - mmseg - INFO - Iter [13500/160000] lr: 5.640e-05, eta: 9:40:36, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6925, decode.acc_seg: 61.8276, aux.loss_ce: 0.2917, aux.acc_seg: 61.1547, loss: 0.9842 2022-06-18 10:15:52,378 - mmseg - INFO - Iter [13550/160000] lr: 5.638e-05, eta: 9:40:23, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.7179, decode.acc_seg: 60.0306, aux.loss_ce: 0.2989, aux.acc_seg: 59.7080, loss: 1.0168 2022-06-18 10:16:04,004 - mmseg - INFO - Iter [13600/160000] lr: 5.637e-05, eta: 9:40:08, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7258, decode.acc_seg: 59.1213, aux.loss_ce: 0.3019, aux.acc_seg: 58.7858, loss: 1.0277 2022-06-18 10:16:15,595 - mmseg - INFO - Iter [13650/160000] lr: 5.635e-05, eta: 9:39:53, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7484, decode.acc_seg: 59.3023, aux.loss_ce: 0.3129, aux.acc_seg: 58.5736, loss: 1.0613 2022-06-18 10:16:27,522 - mmseg - INFO - Iter [13700/160000] lr: 5.633e-05, eta: 9:39:41, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7449, decode.acc_seg: 60.3714, aux.loss_ce: 0.3100, aux.acc_seg: 59.9815, loss: 1.0549 2022-06-18 10:16:39,267 - mmseg - INFO - Iter [13750/160000] lr: 5.631e-05, eta: 9:39:28, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.7398, decode.acc_seg: 60.0618, aux.loss_ce: 0.3139, aux.acc_seg: 59.0662, loss: 1.0537 2022-06-18 10:16:50,899 - mmseg - INFO - Iter [13800/160000] lr: 5.629e-05, eta: 9:39:13, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.7015, decode.acc_seg: 59.4253, aux.loss_ce: 0.2922, aux.acc_seg: 58.9569, loss: 0.9937 2022-06-18 10:17:02,898 - mmseg - INFO - Iter [13850/160000] lr: 5.627e-05, eta: 9:39:03, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7485, decode.acc_seg: 60.4682, aux.loss_ce: 0.3136, aux.acc_seg: 59.7227, loss: 1.0622 2022-06-18 10:17:16,751 - mmseg - INFO - Iter [13900/160000] lr: 5.625e-05, eta: 9:39:12, time: 0.277, data_time: 0.048, memory: 36048, decode.loss_ce: 0.7366, decode.acc_seg: 60.0170, aux.loss_ce: 0.3039, aux.acc_seg: 59.6353, loss: 1.0405 2022-06-18 10:17:28,501 - mmseg - INFO - Iter [13950/160000] lr: 5.623e-05, eta: 9:38:58, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6756, decode.acc_seg: 60.4267, aux.loss_ce: 0.2859, aux.acc_seg: 59.7956, loss: 0.9615 2022-06-18 10:17:40,023 - mmseg - INFO - Saving checkpoint at 14000 iterations 2022-06-18 10:17:40,715 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 10:17:40,715 - mmseg - INFO - Iter [14000/160000] lr: 5.621e-05, eta: 9:38:50, time: 0.244, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7217, decode.acc_seg: 60.9177, aux.loss_ce: 0.3043, aux.acc_seg: 60.0710, loss: 1.0261 2022-06-18 10:17:52,286 - mmseg - INFO - Iter [14050/160000] lr: 5.619e-05, eta: 9:38:34, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7126, decode.acc_seg: 61.5942, aux.loss_ce: 0.2998, aux.acc_seg: 60.8523, loss: 1.0124 2022-06-18 10:18:03,920 - mmseg - INFO - Iter [14100/160000] lr: 5.617e-05, eta: 9:38:20, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7027, decode.acc_seg: 59.7667, aux.loss_ce: 0.2963, aux.acc_seg: 59.0400, loss: 0.9990 2022-06-18 10:18:15,830 - mmseg - INFO - Iter [14150/160000] lr: 5.615e-05, eta: 9:38:08, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7122, decode.acc_seg: 59.7521, aux.loss_ce: 0.3031, aux.acc_seg: 58.9245, loss: 1.0153 2022-06-18 10:18:27,327 - mmseg - INFO - Iter [14200/160000] lr: 5.613e-05, eta: 9:37:52, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6753, decode.acc_seg: 61.9494, aux.loss_ce: 0.2845, aux.acc_seg: 61.3086, loss: 0.9599 2022-06-18 10:18:38,950 - mmseg - INFO - Iter [14250/160000] lr: 5.612e-05, eta: 9:37:37, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6774, decode.acc_seg: 60.8242, aux.loss_ce: 0.2877, aux.acc_seg: 60.3138, loss: 0.9651 2022-06-18 10:18:50,605 - mmseg - INFO - Iter [14300/160000] lr: 5.610e-05, eta: 9:37:23, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6930, decode.acc_seg: 60.7910, aux.loss_ce: 0.2941, aux.acc_seg: 59.6985, loss: 0.9871 2022-06-18 10:19:02,174 - mmseg - INFO - Iter [14350/160000] lr: 5.608e-05, eta: 9:37:08, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7315, decode.acc_seg: 60.7270, aux.loss_ce: 0.3075, aux.acc_seg: 60.3873, loss: 1.0391 2022-06-18 10:19:14,107 - mmseg - INFO - Iter [14400/160000] lr: 5.606e-05, eta: 9:36:57, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7120, decode.acc_seg: 60.0779, aux.loss_ce: 0.2976, aux.acc_seg: 59.3478, loss: 1.0097 2022-06-18 10:19:25,687 - mmseg - INFO - Iter [14450/160000] lr: 5.604e-05, eta: 9:36:42, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6774, decode.acc_seg: 61.4145, aux.loss_ce: 0.2828, aux.acc_seg: 60.8990, loss: 0.9602 2022-06-18 10:19:37,213 - mmseg - INFO - Iter [14500/160000] lr: 5.602e-05, eta: 9:36:26, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6821, decode.acc_seg: 60.0958, aux.loss_ce: 0.2881, aux.acc_seg: 59.3570, loss: 0.9701 2022-06-18 10:19:49,080 - mmseg - INFO - Iter [14550/160000] lr: 5.600e-05, eta: 9:36:14, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7333, decode.acc_seg: 59.9986, aux.loss_ce: 0.3048, aux.acc_seg: 59.6335, loss: 1.0381 2022-06-18 10:20:00,786 - mmseg - INFO - Iter [14600/160000] lr: 5.598e-05, eta: 9:36:00, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7163, decode.acc_seg: 61.1998, aux.loss_ce: 0.2991, aux.acc_seg: 60.4235, loss: 1.0154 2022-06-18 10:20:12,450 - mmseg - INFO - Iter [14650/160000] lr: 5.596e-05, eta: 9:35:46, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7186, decode.acc_seg: 59.7561, aux.loss_ce: 0.3012, aux.acc_seg: 59.0931, loss: 1.0198 2022-06-18 10:20:24,034 - mmseg - INFO - Iter [14700/160000] lr: 5.594e-05, eta: 9:35:31, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6729, decode.acc_seg: 61.1736, aux.loss_ce: 0.2816, aux.acc_seg: 60.8156, loss: 0.9545 2022-06-18 10:20:35,632 - mmseg - INFO - Iter [14750/160000] lr: 5.592e-05, eta: 9:35:17, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6945, decode.acc_seg: 60.7093, aux.loss_ce: 0.2933, aux.acc_seg: 60.1965, loss: 0.9878 2022-06-18 10:20:47,336 - mmseg - INFO - Iter [14800/160000] lr: 5.590e-05, eta: 9:35:03, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6933, decode.acc_seg: 60.7252, aux.loss_ce: 0.2923, aux.acc_seg: 60.1413, loss: 0.9856 2022-06-18 10:20:59,019 - mmseg - INFO - Iter [14850/160000] lr: 5.588e-05, eta: 9:34:49, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7157, decode.acc_seg: 58.4310, aux.loss_ce: 0.3026, aux.acc_seg: 57.5509, loss: 1.0183 2022-06-18 10:21:10,720 - mmseg - INFO - Iter [14900/160000] lr: 5.586e-05, eta: 9:34:36, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6946, decode.acc_seg: 60.9419, aux.loss_ce: 0.2915, aux.acc_seg: 60.2017, loss: 0.9861 2022-06-18 10:21:22,317 - mmseg - INFO - Iter [14950/160000] lr: 5.585e-05, eta: 9:34:21, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7460, decode.acc_seg: 59.1153, aux.loss_ce: 0.3125, aux.acc_seg: 58.6025, loss: 1.0586 2022-06-18 10:21:34,201 - mmseg - INFO - Saving checkpoint at 15000 iterations 2022-06-18 10:21:34,889 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 10:21:34,889 - mmseg - INFO - Iter [15000/160000] lr: 5.583e-05, eta: 9:34:16, time: 0.251, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7308, decode.acc_seg: 59.7400, aux.loss_ce: 0.3054, aux.acc_seg: 59.3397, loss: 1.0362 2022-06-18 10:21:46,704 - mmseg - INFO - Iter [15050/160000] lr: 5.581e-05, eta: 9:34:03, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7284, decode.acc_seg: 59.2815, aux.loss_ce: 0.3036, aux.acc_seg: 58.8723, loss: 1.0320 2022-06-18 10:21:58,382 - mmseg - INFO - Iter [15100/160000] lr: 5.579e-05, eta: 9:33:50, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7074, decode.acc_seg: 60.5528, aux.loss_ce: 0.2932, aux.acc_seg: 60.1008, loss: 1.0006 2022-06-18 10:22:09,927 - mmseg - INFO - Iter [15150/160000] lr: 5.577e-05, eta: 9:33:35, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6886, decode.acc_seg: 59.2074, aux.loss_ce: 0.2870, aux.acc_seg: 58.7853, loss: 0.9757 2022-06-18 10:22:23,727 - mmseg - INFO - Iter [15200/160000] lr: 5.575e-05, eta: 9:33:41, time: 0.276, data_time: 0.050, memory: 36048, decode.loss_ce: 0.6498, decode.acc_seg: 61.2416, aux.loss_ce: 0.2736, aux.acc_seg: 60.6864, loss: 0.9234 2022-06-18 10:22:35,553 - mmseg - INFO - Iter [15250/160000] lr: 5.573e-05, eta: 9:33:28, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6694, decode.acc_seg: 61.7344, aux.loss_ce: 0.2826, aux.acc_seg: 61.0792, loss: 0.9520 2022-06-18 10:22:47,205 - mmseg - INFO - Iter [15300/160000] lr: 5.571e-05, eta: 9:33:14, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6801, decode.acc_seg: 61.2050, aux.loss_ce: 0.2864, aux.acc_seg: 60.4679, loss: 0.9665 2022-06-18 10:22:59,076 - mmseg - INFO - Iter [15350/160000] lr: 5.569e-05, eta: 9:33:02, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6814, decode.acc_seg: 61.0736, aux.loss_ce: 0.2851, aux.acc_seg: 60.6335, loss: 0.9665 2022-06-18 10:23:10,831 - mmseg - INFO - Iter [15400/160000] lr: 5.567e-05, eta: 9:32:49, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6769, decode.acc_seg: 59.9441, aux.loss_ce: 0.2847, aux.acc_seg: 59.4076, loss: 0.9615 2022-06-18 10:23:22,512 - mmseg - INFO - Iter [15450/160000] lr: 5.565e-05, eta: 9:32:35, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.7052, decode.acc_seg: 60.6401, aux.loss_ce: 0.2980, aux.acc_seg: 60.0867, loss: 1.0032 2022-06-18 10:23:34,221 - mmseg - INFO - Iter [15500/160000] lr: 5.563e-05, eta: 9:32:22, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7122, decode.acc_seg: 58.6162, aux.loss_ce: 0.2992, aux.acc_seg: 58.0041, loss: 1.0114 2022-06-18 10:23:45,804 - mmseg - INFO - Iter [15550/160000] lr: 5.561e-05, eta: 9:32:07, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6732, decode.acc_seg: 62.4717, aux.loss_ce: 0.2843, aux.acc_seg: 61.8813, loss: 0.9575 2022-06-18 10:23:57,411 - mmseg - INFO - Iter [15600/160000] lr: 5.560e-05, eta: 9:31:53, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7124, decode.acc_seg: 60.9709, aux.loss_ce: 0.3015, aux.acc_seg: 60.1958, loss: 1.0139 2022-06-18 10:24:09,342 - mmseg - INFO - Iter [15650/160000] lr: 5.558e-05, eta: 9:31:41, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7078, decode.acc_seg: 61.3157, aux.loss_ce: 0.2979, aux.acc_seg: 60.4882, loss: 1.0057 2022-06-18 10:24:21,250 - mmseg - INFO - Iter [15700/160000] lr: 5.556e-05, eta: 9:31:30, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6778, decode.acc_seg: 60.7164, aux.loss_ce: 0.2827, aux.acc_seg: 60.2698, loss: 0.9605 2022-06-18 10:24:32,922 - mmseg - INFO - Iter [15750/160000] lr: 5.554e-05, eta: 9:31:16, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6939, decode.acc_seg: 60.1667, aux.loss_ce: 0.2919, aux.acc_seg: 59.3286, loss: 0.9858 2022-06-18 10:24:44,627 - mmseg - INFO - Iter [15800/160000] lr: 5.552e-05, eta: 9:31:02, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6705, decode.acc_seg: 59.8682, aux.loss_ce: 0.2835, aux.acc_seg: 59.4072, loss: 0.9540 2022-06-18 10:24:56,565 - mmseg - INFO - Iter [15850/160000] lr: 5.550e-05, eta: 9:30:51, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6740, decode.acc_seg: 59.8016, aux.loss_ce: 0.2815, aux.acc_seg: 59.2225, loss: 0.9556 2022-06-18 10:25:08,468 - mmseg - INFO - Iter [15900/160000] lr: 5.548e-05, eta: 9:30:39, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.7290, decode.acc_seg: 59.5015, aux.loss_ce: 0.3050, aux.acc_seg: 58.8519, loss: 1.0340 2022-06-18 10:25:20,186 - mmseg - INFO - Iter [15950/160000] lr: 5.546e-05, eta: 9:30:26, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7050, decode.acc_seg: 62.0930, aux.loss_ce: 0.2938, aux.acc_seg: 61.3663, loss: 0.9988 2022-06-18 10:25:31,842 - mmseg - INFO - Saving checkpoint at 16000 iterations 2022-06-18 10:25:32,558 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 10:25:32,559 - mmseg - INFO - Iter [16000/160000] lr: 5.544e-05, eta: 9:30:19, time: 0.247, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6791, decode.acc_seg: 60.6124, aux.loss_ce: 0.2871, aux.acc_seg: 59.8781, loss: 0.9662 2022-06-18 10:26:11,720 - mmseg - INFO - per class results: 2022-06-18 10:26:11,727 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 67.65 | 80.56 | | building | 76.8 | 90.51 | | sky | 92.78 | 97.26 | | floor | 74.23 | 85.94 | | tree | 67.49 | 86.31 | | ceiling | 77.03 | 92.07 | | road | 76.75 | 88.4 | | bed | 74.55 | 88.12 | | windowpane | 50.45 | 67.4 | | grass | 67.36 | 84.99 | | cabinet | 46.66 | 60.54 | | sidewalk | 52.13 | 65.4 | | person | 67.94 | 92.15 | | earth | 29.72 | 38.44 | | door | 25.83 | 33.76 | | table | 38.2 | 51.29 | | mountain | 46.23 | 65.64 | | plant | 38.6 | 45.43 | | curtain | 60.79 | 81.55 | | chair | 37.93 | 65.74 | | car | 75.06 | 89.76 | | water | 43.94 | 59.86 | | painting | 58.84 | 73.17 | | sofa | 45.35 | 60.79 | | shelf | 32.95 | 53.55 | | house | 40.45 | 47.83 | | sea | 49.47 | 82.77 | | mirror | 44.44 | 53.59 | | rug | 45.4 | 54.95 | | field | 31.54 | 58.25 | | armchair | 22.63 | 42.64 | | seat | 36.27 | 58.99 | | fence | 31.16 | 48.38 | | desk | 28.04 | 44.12 | | rock | 36.68 | 51.66 | | wardrobe | 33.47 | 71.25 | | lamp | 38.91 | 55.27 | | bathtub | 52.21 | 82.15 | | railing | 12.51 | 13.8 | | cushion | 34.95 | 48.48 | | base | 17.59 | 23.55 | | box | 10.06 | 13.04 | | column | 33.67 | 42.12 | | signboard | 28.47 | 35.47 | | chest of drawers | 25.68 | 67.19 | | counter | 21.81 | 27.66 | | sand | 26.05 | 43.27 | | sink | 34.61 | 38.28 | | skyscraper | 57.3 | 87.95 | | fireplace | 48.04 | 65.8 | | refrigerator | 45.77 | 59.64 | | grandstand | 37.77 | 58.21 | | path | 8.96 | 11.23 | | stairs | 24.4 | 36.24 | | runway | 72.8 | 89.67 | | case | 43.77 | 59.34 | | pool table | 87.66 | 92.34 | | pillow | 27.02 | 32.29 | | screen door | 52.03 | 68.44 | | stairway | 22.28 | 24.25 | | river | 18.19 | 28.29 | | bridge | 37.87 | 53.76 | | bookcase | 35.11 | 55.39 | | blind | 26.56 | 31.64 | | coffee table | 40.25 | 68.58 | | toilet | 56.38 | 89.94 | | flower | 22.38 | 39.42 | | book | 39.24 | 57.25 | | hill | 6.34 | 10.11 | | bench | 34.1 | 45.41 | | countertop | 36.54 | 51.29 | | stove | 36.95 | 48.15 | | palm | 37.81 | 48.08 | | kitchen island | 24.31 | 31.49 | | computer | 45.63 | 62.62 | | swivel chair | 27.0 | 40.91 | | boat | 53.58 | 62.16 | | bar | 33.97 | 46.56 | | arcade machine | 4.99 | 5.09 | | hovel | 27.82 | 50.29 | | bus | 65.13 | 78.56 | | towel | 27.4 | 35.31 | | light | 23.22 | 24.23 | | truck | 6.34 | 8.53 | | tower | 40.58 | 57.67 | | chandelier | 48.04 | 70.98 | | awning | 11.39 | 11.77 | | streetlight | 4.14 | 4.57 | | booth | 18.91 | 27.93 | | television receiver | 44.84 | 54.26 | | airplane | 41.16 | 59.14 | | dirt track | 0.85 | 1.37 | | apparel | 26.56 | 41.36 | | pole | 8.4 | 10.32 | | land | 3.45 | 4.07 | | bannister | 0.0 | 0.0 | | escalator | 7.87 | 8.92 | | ottoman | 14.01 | 24.6 | | bottle | 5.39 | 7.77 | | buffet | 34.89 | 41.21 | | poster | 1.25 | 1.27 | | stage | 4.51 | 11.35 | | van | 3.21 | 3.39 | | ship | 0.74 | 0.75 | | fountain | 8.9 | 9.83 | | conveyer belt | 53.64 | 67.56 | | canopy | 22.73 | 32.28 | | washer | 47.57 | 63.78 | | plaything | 5.44 | 9.1 | | swimming pool | 24.95 | 45.81 | | stool | 5.27 | 5.53 | | barrel | 0.0 | 0.0 | | basket | 7.94 | 9.91 | | waterfall | 70.98 | 87.72 | | tent | 81.44 | 99.03 | | bag | 0.97 | 0.98 | | minibike | 51.05 | 69.39 | | cradle | 49.52 | 89.47 | | oven | 16.85 | 19.51 | | ball | 37.82 | 41.34 | | food | 43.35 | 63.1 | | step | 0.0 | 0.0 | | tank | 17.09 | 17.74 | | trade name | 14.58 | 15.5 | | microwave | 26.82 | 31.33 | | pot | 11.96 | 12.61 | | animal | 47.14 | 52.97 | | bicycle | 38.24 | 45.13 | | lake | 0.0 | 0.0 | | dishwasher | 18.31 | 23.38 | | screen | 63.84 | 73.29 | | blanket | 0.0 | 0.0 | | sculpture | 15.66 | 16.17 | | hood | 6.09 | 6.56 | | sconce | 7.93 | 8.29 | | vase | 16.67 | 26.75 | | traffic light | 10.09 | 12.47 | | tray | 0.15 | 0.18 | | ashcan | 12.17 | 16.07 | | fan | 31.84 | 48.04 | | pier | 15.42 | 17.33 | | crt screen | 0.47 | 0.49 | | plate | 39.2 | 48.69 | | monitor | 7.22 | 10.77 | | bulletin board | 21.57 | 25.99 | | shower | 0.0 | 0.0 | | radiator | 23.75 | 23.95 | | glass | 0.55 | 0.55 | | clock | 6.68 | 6.94 | | flag | 13.29 | 14.85 | +---------------------+-------+-------+ 2022-06-18 10:26:11,727 - mmseg - INFO - Summary: 2022-06-18 10:26:11,727 - mmseg - INFO - +-------+-------+------+ | aAcc | mIoU | mAcc | +-------+-------+------+ | 75.86 | 31.81 | 42.5 | +-------+-------+------+ 2022-06-18 10:26:12,351 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. 2022-06-18 10:26:12,351 - mmseg - INFO - Best mIoU is 0.3181 at 16000 iter. 2022-06-18 10:26:12,359 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 10:26:12,360 - mmseg - INFO - Iter(val) [250] aAcc: 0.7586, mIoU: 0.3181, mAcc: 0.4250, IoU.wall: 0.6765, IoU.building: 0.7680, IoU.sky: 0.9278, IoU.floor: 0.7423, IoU.tree: 0.6749, IoU.ceiling: 0.7703, IoU.road: 0.7675, IoU.bed : 0.7455, IoU.windowpane: 0.5045, IoU.grass: 0.6736, IoU.cabinet: 0.4666, IoU.sidewalk: 0.5213, IoU.person: 0.6794, IoU.earth: 0.2972, IoU.door: 0.2583, IoU.table: 0.3820, IoU.mountain: 0.4623, IoU.plant: 0.3860, IoU.curtain: 0.6079, IoU.chair: 0.3793, IoU.car: 0.7506, IoU.water: 0.4394, IoU.painting: 0.5884, IoU.sofa: 0.4535, IoU.shelf: 0.3295, IoU.house: 0.4045, IoU.sea: 0.4947, IoU.mirror: 0.4444, IoU.rug: 0.4540, IoU.field: 0.3154, IoU.armchair: 0.2263, IoU.seat: 0.3627, IoU.fence: 0.3116, IoU.desk: 0.2804, IoU.rock: 0.3668, IoU.wardrobe: 0.3347, IoU.lamp: 0.3891, IoU.bathtub: 0.5221, IoU.railing: 0.1251, IoU.cushion: 0.3495, IoU.base: 0.1759, IoU.box: 0.1006, IoU.column: 0.3367, IoU.signboard: 0.2847, IoU.chest of drawers: 0.2568, IoU.counter: 0.2181, IoU.sand: 0.2605, IoU.sink: 0.3461, IoU.skyscraper: 0.5730, IoU.fireplace: 0.4804, IoU.refrigerator: 0.4577, IoU.grandstand: 0.3777, IoU.path: 0.0896, IoU.stairs: 0.2440, IoU.runway: 0.7280, IoU.case: 0.4377, IoU.pool table: 0.8766, IoU.pillow: 0.2702, IoU.screen door: 0.5203, IoU.stairway: 0.2228, IoU.river: 0.1819, IoU.bridge: 0.3787, IoU.bookcase: 0.3511, IoU.blind: 0.2656, IoU.coffee table: 0.4025, IoU.toilet: 0.5638, IoU.flower: 0.2238, IoU.book: 0.3924, IoU.hill: 0.0634, IoU.bench: 0.3410, IoU.countertop: 0.3654, IoU.stove: 0.3695, IoU.palm: 0.3781, IoU.kitchen island: 0.2431, IoU.computer: 0.4563, IoU.swivel chair: 0.2700, IoU.boat: 0.5358, IoU.bar: 0.3397, IoU.arcade machine: 0.0499, IoU.hovel: 0.2782, IoU.bus: 0.6513, IoU.towel: 0.2740, IoU.light: 0.2322, IoU.truck: 0.0634, IoU.tower: 0.4058, IoU.chandelier: 0.4804, IoU.awning: 0.1139, IoU.streetlight: 0.0414, IoU.booth: 0.1891, IoU.television receiver: 0.4484, IoU.airplane: 0.4116, IoU.dirt track: 0.0085, IoU.apparel: 0.2656, IoU.pole: 0.0840, IoU.land: 0.0345, IoU.bannister: 0.0000, IoU.escalator: 0.0787, IoU.ottoman: 0.1401, IoU.bottle: 0.0539, IoU.buffet: 0.3489, IoU.poster: 0.0125, IoU.stage: 0.0451, IoU.van: 0.0321, IoU.ship: 0.0074, IoU.fountain: 0.0890, IoU.conveyer belt: 0.5364, IoU.canopy: 0.2273, IoU.washer: 0.4757, IoU.plaything: 0.0544, IoU.swimming pool: 0.2495, IoU.stool: 0.0527, IoU.barrel: 0.0000, IoU.basket: 0.0794, IoU.waterfall: 0.7098, IoU.tent: 0.8144, IoU.bag: 0.0097, IoU.minibike: 0.5105, IoU.cradle: 0.4952, IoU.oven: 0.1685, IoU.ball: 0.3782, IoU.food: 0.4335, IoU.step: 0.0000, IoU.tank: 0.1709, IoU.trade name: 0.1458, IoU.microwave: 0.2682, IoU.pot: 0.1196, IoU.animal: 0.4714, IoU.bicycle: 0.3824, IoU.lake: 0.0000, IoU.dishwasher: 0.1831, IoU.screen: 0.6384, IoU.blanket: 0.0000, IoU.sculpture: 0.1566, IoU.hood: 0.0609, IoU.sconce: 0.0793, IoU.vase: 0.1667, IoU.traffic light: 0.1009, IoU.tray: 0.0015, IoU.ashcan: 0.1217, IoU.fan: 0.3184, IoU.pier: 0.1542, IoU.crt screen: 0.0047, IoU.plate: 0.3920, IoU.monitor: 0.0722, IoU.bulletin board: 0.2157, IoU.shower: 0.0000, IoU.radiator: 0.2375, IoU.glass: 0.0055, IoU.clock: 0.0668, IoU.flag: 0.1329, Acc.wall: 0.8056, Acc.building: 0.9051, Acc.sky: 0.9726, Acc.floor: 0.8594, Acc.tree: 0.8631, Acc.ceiling: 0.9207, Acc.road: 0.8840, Acc.bed : 0.8812, Acc.windowpane: 0.6740, Acc.grass: 0.8499, Acc.cabinet: 0.6054, Acc.sidewalk: 0.6540, Acc.person: 0.9215, Acc.earth: 0.3844, Acc.door: 0.3376, Acc.table: 0.5129, Acc.mountain: 0.6564, Acc.plant: 0.4543, Acc.curtain: 0.8155, Acc.chair: 0.6574, Acc.car: 0.8976, Acc.water: 0.5986, Acc.painting: 0.7317, Acc.sofa: 0.6079, Acc.shelf: 0.5355, Acc.house: 0.4783, Acc.sea: 0.8277, Acc.mirror: 0.5359, Acc.rug: 0.5495, Acc.field: 0.5825, Acc.armchair: 0.4264, Acc.seat: 0.5899, Acc.fence: 0.4838, Acc.desk: 0.4412, Acc.rock: 0.5166, Acc.wardrobe: 0.7125, Acc.lamp: 0.5527, Acc.bathtub: 0.8215, Acc.railing: 0.1380, Acc.cushion: 0.4848, Acc.base: 0.2355, Acc.box: 0.1304, Acc.column: 0.4212, Acc.signboard: 0.3547, Acc.chest of drawers: 0.6719, Acc.counter: 0.2766, Acc.sand: 0.4327, Acc.sink: 0.3828, Acc.skyscraper: 0.8795, Acc.fireplace: 0.6580, Acc.refrigerator: 0.5964, Acc.grandstand: 0.5821, Acc.path: 0.1123, Acc.stairs: 0.3624, Acc.runway: 0.8967, Acc.case: 0.5934, Acc.pool table: 0.9234, Acc.pillow: 0.3229, Acc.screen door: 0.6844, Acc.stairway: 0.2425, Acc.river: 0.2829, Acc.bridge: 0.5376, Acc.bookcase: 0.5539, Acc.blind: 0.3164, Acc.coffee table: 0.6858, Acc.toilet: 0.8994, Acc.flower: 0.3942, Acc.book: 0.5725, Acc.hill: 0.1011, Acc.bench: 0.4541, Acc.countertop: 0.5129, Acc.stove: 0.4815, Acc.palm: 0.4808, Acc.kitchen island: 0.3149, Acc.computer: 0.6262, Acc.swivel chair: 0.4091, Acc.boat: 0.6216, Acc.bar: 0.4656, Acc.arcade machine: 0.0509, Acc.hovel: 0.5029, Acc.bus: 0.7856, Acc.towel: 0.3531, Acc.light: 0.2423, Acc.truck: 0.0853, Acc.tower: 0.5767, Acc.chandelier: 0.7098, Acc.awning: 0.1177, Acc.streetlight: 0.0457, Acc.booth: 0.2793, Acc.television receiver: 0.5426, Acc.airplane: 0.5914, Acc.dirt track: 0.0137, Acc.apparel: 0.4136, Acc.pole: 0.1032, Acc.land: 0.0407, Acc.bannister: 0.0000, Acc.escalator: 0.0892, Acc.ottoman: 0.2460, Acc.bottle: 0.0777, Acc.buffet: 0.4121, Acc.poster: 0.0127, Acc.stage: 0.1135, Acc.van: 0.0339, Acc.ship: 0.0075, Acc.fountain: 0.0983, Acc.conveyer belt: 0.6756, Acc.canopy: 0.3228, Acc.washer: 0.6378, Acc.plaything: 0.0910, Acc.swimming pool: 0.4581, Acc.stool: 0.0553, Acc.barrel: 0.0000, Acc.basket: 0.0991, Acc.waterfall: 0.8772, Acc.tent: 0.9903, Acc.bag: 0.0098, Acc.minibike: 0.6939, Acc.cradle: 0.8947, Acc.oven: 0.1951, Acc.ball: 0.4134, Acc.food: 0.6310, Acc.step: 0.0000, Acc.tank: 0.1774, Acc.trade name: 0.1550, Acc.microwave: 0.3133, Acc.pot: 0.1261, Acc.animal: 0.5297, Acc.bicycle: 0.4513, Acc.lake: 0.0000, Acc.dishwasher: 0.2338, Acc.screen: 0.7329, Acc.blanket: 0.0000, Acc.sculpture: 0.1617, Acc.hood: 0.0656, Acc.sconce: 0.0829, Acc.vase: 0.2675, Acc.traffic light: 0.1247, Acc.tray: 0.0018, Acc.ashcan: 0.1607, Acc.fan: 0.4804, Acc.pier: 0.1733, Acc.crt screen: 0.0049, Acc.plate: 0.4869, Acc.monitor: 0.1077, Acc.bulletin board: 0.2599, Acc.shower: 0.0000, Acc.radiator: 0.2395, Acc.glass: 0.0055, Acc.clock: 0.0694, Acc.flag: 0.1485 2022-06-18 10:26:24,274 - mmseg - INFO - Iter [16050/160000] lr: 5.542e-05, eta: 9:36:04, time: 1.034, data_time: 0.799, memory: 36048, decode.loss_ce: 0.6974, decode.acc_seg: 59.0263, aux.loss_ce: 0.2925, aux.acc_seg: 58.9073, loss: 0.9899 2022-06-18 10:26:36,068 - mmseg - INFO - Iter [16100/160000] lr: 5.540e-05, eta: 9:35:50, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6663, decode.acc_seg: 60.7748, aux.loss_ce: 0.2815, aux.acc_seg: 59.9951, loss: 0.9478 2022-06-18 10:26:47,760 - mmseg - INFO - Iter [16150/160000] lr: 5.538e-05, eta: 9:35:35, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6881, decode.acc_seg: 60.9719, aux.loss_ce: 0.2890, aux.acc_seg: 60.5052, loss: 0.9771 2022-06-18 10:26:59,530 - mmseg - INFO - Iter [16200/160000] lr: 5.536e-05, eta: 9:35:21, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.7020, decode.acc_seg: 60.7806, aux.loss_ce: 0.2944, aux.acc_seg: 60.0425, loss: 0.9964 2022-06-18 10:27:11,185 - mmseg - INFO - Iter [16250/160000] lr: 5.535e-05, eta: 9:35:06, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6829, decode.acc_seg: 61.2116, aux.loss_ce: 0.2895, aux.acc_seg: 60.4483, loss: 0.9724 2022-06-18 10:27:22,977 - mmseg - INFO - Iter [16300/160000] lr: 5.533e-05, eta: 9:34:52, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7021, decode.acc_seg: 59.5617, aux.loss_ce: 0.2947, aux.acc_seg: 58.6433, loss: 0.9968 2022-06-18 10:27:34,641 - mmseg - INFO - Iter [16350/160000] lr: 5.531e-05, eta: 9:34:37, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6909, decode.acc_seg: 60.9760, aux.loss_ce: 0.2860, aux.acc_seg: 60.5423, loss: 0.9769 2022-06-18 10:27:46,351 - mmseg - INFO - Iter [16400/160000] lr: 5.529e-05, eta: 9:34:23, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6782, decode.acc_seg: 61.8204, aux.loss_ce: 0.2856, aux.acc_seg: 61.0722, loss: 0.9638 2022-06-18 10:28:00,124 - mmseg - INFO - Iter [16450/160000] lr: 5.527e-05, eta: 9:34:26, time: 0.275, data_time: 0.049, memory: 36048, decode.loss_ce: 0.6773, decode.acc_seg: 61.2526, aux.loss_ce: 0.2859, aux.acc_seg: 60.4580, loss: 0.9632 2022-06-18 10:28:11,759 - mmseg - INFO - Iter [16500/160000] lr: 5.525e-05, eta: 9:34:11, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6777, decode.acc_seg: 61.3731, aux.loss_ce: 0.2876, aux.acc_seg: 60.5706, loss: 0.9652 2022-06-18 10:28:23,260 - mmseg - INFO - Iter [16550/160000] lr: 5.523e-05, eta: 9:33:55, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6930, decode.acc_seg: 62.0274, aux.loss_ce: 0.2923, aux.acc_seg: 61.3926, loss: 0.9854 2022-06-18 10:28:34,876 - mmseg - INFO - Iter [16600/160000] lr: 5.521e-05, eta: 9:33:39, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6621, decode.acc_seg: 60.1995, aux.loss_ce: 0.2803, aux.acc_seg: 59.3820, loss: 0.9424 2022-06-18 10:28:46,884 - mmseg - INFO - Iter [16650/160000] lr: 5.519e-05, eta: 9:33:27, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6964, decode.acc_seg: 60.8077, aux.loss_ce: 0.2945, aux.acc_seg: 60.0532, loss: 0.9909 2022-06-18 10:28:58,201 - mmseg - INFO - Iter [16700/160000] lr: 5.517e-05, eta: 9:33:09, time: 0.226, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6761, decode.acc_seg: 59.2504, aux.loss_ce: 0.2847, aux.acc_seg: 58.8910, loss: 0.9607 2022-06-18 10:29:09,658 - mmseg - INFO - Iter [16750/160000] lr: 5.515e-05, eta: 9:32:53, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6432, decode.acc_seg: 61.1793, aux.loss_ce: 0.2727, aux.acc_seg: 60.6744, loss: 0.9159 2022-06-18 10:29:21,381 - mmseg - INFO - Iter [16800/160000] lr: 5.513e-05, eta: 9:32:38, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7184, decode.acc_seg: 60.6644, aux.loss_ce: 0.3020, aux.acc_seg: 60.0906, loss: 1.0203 2022-06-18 10:29:33,276 - mmseg - INFO - Iter [16850/160000] lr: 5.511e-05, eta: 9:32:25, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6703, decode.acc_seg: 61.0920, aux.loss_ce: 0.2824, aux.acc_seg: 60.3950, loss: 0.9527 2022-06-18 10:29:45,269 - mmseg - INFO - Iter [16900/160000] lr: 5.509e-05, eta: 9:32:14, time: 0.240, data_time: 0.004, memory: 36048, decode.loss_ce: 0.7125, decode.acc_seg: 61.2144, aux.loss_ce: 0.2972, aux.acc_seg: 60.5770, loss: 1.0097 2022-06-18 10:29:57,007 - mmseg - INFO - Iter [16950/160000] lr: 5.508e-05, eta: 9:31:59, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6966, decode.acc_seg: 62.0341, aux.loss_ce: 0.2929, aux.acc_seg: 61.4699, loss: 0.9894 2022-06-18 10:30:08,675 - mmseg - INFO - Saving checkpoint at 17000 iterations 2022-06-18 10:30:09,371 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 10:30:09,371 - mmseg - INFO - Iter [17000/160000] lr: 5.506e-05, eta: 9:31:51, time: 0.248, data_time: 0.004, memory: 36048, decode.loss_ce: 0.7001, decode.acc_seg: 59.2152, aux.loss_ce: 0.2915, aux.acc_seg: 58.8594, loss: 0.9917 2022-06-18 10:30:21,172 - mmseg - INFO - Iter [17050/160000] lr: 5.504e-05, eta: 9:31:37, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6419, decode.acc_seg: 61.8613, aux.loss_ce: 0.2716, aux.acc_seg: 61.2589, loss: 0.9134 2022-06-18 10:30:32,862 - mmseg - INFO - Iter [17100/160000] lr: 5.502e-05, eta: 9:31:22, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6783, decode.acc_seg: 61.0834, aux.loss_ce: 0.2853, aux.acc_seg: 60.5007, loss: 0.9636 2022-06-18 10:30:44,396 - mmseg - INFO - Iter [17150/160000] lr: 5.500e-05, eta: 9:31:06, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6611, decode.acc_seg: 62.2442, aux.loss_ce: 0.2787, aux.acc_seg: 61.6273, loss: 0.9398 2022-06-18 10:30:55,872 - mmseg - INFO - Iter [17200/160000] lr: 5.498e-05, eta: 9:30:50, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6751, decode.acc_seg: 60.9485, aux.loss_ce: 0.2855, aux.acc_seg: 60.0657, loss: 0.9606 2022-06-18 10:31:07,582 - mmseg - INFO - Iter [17250/160000] lr: 5.496e-05, eta: 9:30:36, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7188, decode.acc_seg: 60.0311, aux.loss_ce: 0.2994, aux.acc_seg: 59.6519, loss: 1.0182 2022-06-18 10:31:19,400 - mmseg - INFO - Iter [17300/160000] lr: 5.494e-05, eta: 9:30:22, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7096, decode.acc_seg: 59.9960, aux.loss_ce: 0.2977, aux.acc_seg: 59.3910, loss: 1.0074 2022-06-18 10:31:31,068 - mmseg - INFO - Iter [17350/160000] lr: 5.492e-05, eta: 9:30:08, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6576, decode.acc_seg: 59.7281, aux.loss_ce: 0.2758, aux.acc_seg: 59.4008, loss: 0.9334 2022-06-18 10:31:42,976 - mmseg - INFO - Iter [17400/160000] lr: 5.490e-05, eta: 9:29:55, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6892, decode.acc_seg: 60.8003, aux.loss_ce: 0.2854, aux.acc_seg: 60.5248, loss: 0.9746 2022-06-18 10:31:54,617 - mmseg - INFO - Iter [17450/160000] lr: 5.488e-05, eta: 9:29:40, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6771, decode.acc_seg: 60.9446, aux.loss_ce: 0.2837, aux.acc_seg: 60.4875, loss: 0.9609 2022-06-18 10:32:06,184 - mmseg - INFO - Iter [17500/160000] lr: 5.486e-05, eta: 9:29:25, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6773, decode.acc_seg: 60.4430, aux.loss_ce: 0.2843, aux.acc_seg: 59.8087, loss: 0.9616 2022-06-18 10:32:17,800 - mmseg - INFO - Iter [17550/160000] lr: 5.484e-05, eta: 9:29:10, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6403, decode.acc_seg: 61.2740, aux.loss_ce: 0.2707, aux.acc_seg: 60.7189, loss: 0.9110 2022-06-18 10:32:29,485 - mmseg - INFO - Iter [17600/160000] lr: 5.483e-05, eta: 9:28:55, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.7016, decode.acc_seg: 60.2687, aux.loss_ce: 0.2961, aux.acc_seg: 59.4864, loss: 0.9977 2022-06-18 10:32:41,070 - mmseg - INFO - Iter [17650/160000] lr: 5.481e-05, eta: 9:28:40, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6776, decode.acc_seg: 62.6328, aux.loss_ce: 0.2824, aux.acc_seg: 62.1094, loss: 0.9600 2022-06-18 10:32:54,775 - mmseg - INFO - Iter [17700/160000] lr: 5.479e-05, eta: 9:28:42, time: 0.274, data_time: 0.049, memory: 36048, decode.loss_ce: 0.6970, decode.acc_seg: 60.6838, aux.loss_ce: 0.2947, aux.acc_seg: 60.1708, loss: 0.9917 2022-06-18 10:33:06,347 - mmseg - INFO - Iter [17750/160000] lr: 5.477e-05, eta: 9:28:27, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6205, decode.acc_seg: 61.2224, aux.loss_ce: 0.2622, aux.acc_seg: 60.7185, loss: 0.8827 2022-06-18 10:33:17,930 - mmseg - INFO - Iter [17800/160000] lr: 5.475e-05, eta: 9:28:11, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6398, decode.acc_seg: 62.4357, aux.loss_ce: 0.2701, aux.acc_seg: 62.0744, loss: 0.9099 2022-06-18 10:33:29,743 - mmseg - INFO - Iter [17850/160000] lr: 5.473e-05, eta: 9:27:58, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6539, decode.acc_seg: 62.4770, aux.loss_ce: 0.2771, aux.acc_seg: 61.8284, loss: 0.9311 2022-06-18 10:33:41,623 - mmseg - INFO - Iter [17900/160000] lr: 5.471e-05, eta: 9:27:45, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6573, decode.acc_seg: 61.3995, aux.loss_ce: 0.2770, aux.acc_seg: 60.7941, loss: 0.9343 2022-06-18 10:33:53,062 - mmseg - INFO - Iter [17950/160000] lr: 5.469e-05, eta: 9:27:29, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6740, decode.acc_seg: 61.4938, aux.loss_ce: 0.2851, aux.acc_seg: 60.7302, loss: 0.9592 2022-06-18 10:34:04,607 - mmseg - INFO - Saving checkpoint at 18000 iterations 2022-06-18 10:34:05,303 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 10:34:05,303 - mmseg - INFO - Iter [18000/160000] lr: 5.467e-05, eta: 9:27:19, time: 0.245, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6895, decode.acc_seg: 60.2232, aux.loss_ce: 0.2899, aux.acc_seg: 59.6433, loss: 0.9794 2022-06-18 10:34:16,991 - mmseg - INFO - Iter [18050/160000] lr: 5.465e-05, eta: 9:27:05, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6527, decode.acc_seg: 62.0188, aux.loss_ce: 0.2750, aux.acc_seg: 61.4636, loss: 0.9277 2022-06-18 10:34:28,668 - mmseg - INFO - Iter [18100/160000] lr: 5.463e-05, eta: 9:26:50, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6044, decode.acc_seg: 61.3601, aux.loss_ce: 0.2553, aux.acc_seg: 60.8764, loss: 0.8597 2022-06-18 10:34:40,481 - mmseg - INFO - Iter [18150/160000] lr: 5.461e-05, eta: 9:26:37, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6529, decode.acc_seg: 59.2893, aux.loss_ce: 0.2762, aux.acc_seg: 58.8762, loss: 0.9291 2022-06-18 10:34:52,136 - mmseg - INFO - Iter [18200/160000] lr: 5.459e-05, eta: 9:26:22, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6961, decode.acc_seg: 61.0034, aux.loss_ce: 0.2934, aux.acc_seg: 60.2865, loss: 0.9895 2022-06-18 10:35:03,859 - mmseg - INFO - Iter [18250/160000] lr: 5.458e-05, eta: 9:26:08, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6864, decode.acc_seg: 60.0048, aux.loss_ce: 0.2882, aux.acc_seg: 59.3861, loss: 0.9746 2022-06-18 10:35:15,505 - mmseg - INFO - Iter [18300/160000] lr: 5.456e-05, eta: 9:25:54, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6683, decode.acc_seg: 61.3534, aux.loss_ce: 0.2810, aux.acc_seg: 60.6588, loss: 0.9493 2022-06-18 10:35:27,298 - mmseg - INFO - Iter [18350/160000] lr: 5.454e-05, eta: 9:25:40, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6590, decode.acc_seg: 62.9451, aux.loss_ce: 0.2788, aux.acc_seg: 62.5680, loss: 0.9378 2022-06-18 10:35:39,056 - mmseg - INFO - Iter [18400/160000] lr: 5.452e-05, eta: 9:25:27, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6565, decode.acc_seg: 62.4387, aux.loss_ce: 0.2766, aux.acc_seg: 61.8144, loss: 0.9330 2022-06-18 10:35:50,833 - mmseg - INFO - Iter [18450/160000] lr: 5.450e-05, eta: 9:25:13, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6459, decode.acc_seg: 61.4300, aux.loss_ce: 0.2723, aux.acc_seg: 60.9532, loss: 0.9182 2022-06-18 10:36:02,736 - mmseg - INFO - Iter [18500/160000] lr: 5.448e-05, eta: 9:25:00, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6840, decode.acc_seg: 62.0898, aux.loss_ce: 0.2884, aux.acc_seg: 61.3640, loss: 0.9724 2022-06-18 10:36:14,413 - mmseg - INFO - Iter [18550/160000] lr: 5.446e-05, eta: 9:24:46, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7271, decode.acc_seg: 61.5176, aux.loss_ce: 0.3060, aux.acc_seg: 60.8005, loss: 1.0331 2022-06-18 10:36:25,978 - mmseg - INFO - Iter [18600/160000] lr: 5.444e-05, eta: 9:24:31, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6898, decode.acc_seg: 59.7410, aux.loss_ce: 0.2883, aux.acc_seg: 59.3301, loss: 0.9781 2022-06-18 10:36:38,035 - mmseg - INFO - Iter [18650/160000] lr: 5.442e-05, eta: 9:24:20, time: 0.242, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6479, decode.acc_seg: 60.9009, aux.loss_ce: 0.2736, aux.acc_seg: 60.0579, loss: 0.9214 2022-06-18 10:36:49,619 - mmseg - INFO - Iter [18700/160000] lr: 5.440e-05, eta: 9:24:05, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6956, decode.acc_seg: 59.0177, aux.loss_ce: 0.2933, aux.acc_seg: 58.1394, loss: 0.9890 2022-06-18 10:37:01,123 - mmseg - INFO - Iter [18750/160000] lr: 5.438e-05, eta: 9:23:49, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6481, decode.acc_seg: 60.2668, aux.loss_ce: 0.2741, aux.acc_seg: 59.8291, loss: 0.9222 2022-06-18 10:37:13,042 - mmseg - INFO - Iter [18800/160000] lr: 5.436e-05, eta: 9:23:37, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7026, decode.acc_seg: 61.6305, aux.loss_ce: 0.2985, aux.acc_seg: 60.9525, loss: 1.0011 2022-06-18 10:37:24,548 - mmseg - INFO - Iter [18850/160000] lr: 5.434e-05, eta: 9:23:21, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7095, decode.acc_seg: 60.7013, aux.loss_ce: 0.2947, aux.acc_seg: 59.9737, loss: 1.0042 2022-06-18 10:37:36,181 - mmseg - INFO - Iter [18900/160000] lr: 5.432e-05, eta: 9:23:07, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.7102, decode.acc_seg: 60.0580, aux.loss_ce: 0.2963, aux.acc_seg: 59.4619, loss: 1.0066 2022-06-18 10:37:49,762 - mmseg - INFO - Iter [18950/160000] lr: 5.431e-05, eta: 9:23:07, time: 0.271, data_time: 0.048, memory: 36048, decode.loss_ce: 0.6590, decode.acc_seg: 62.3990, aux.loss_ce: 0.2782, aux.acc_seg: 61.9095, loss: 0.9372 2022-06-18 10:38:01,572 - mmseg - INFO - Saving checkpoint at 19000 iterations 2022-06-18 10:38:02,255 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 10:38:02,255 - mmseg - INFO - Iter [19000/160000] lr: 5.429e-05, eta: 9:22:59, time: 0.250, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6602, decode.acc_seg: 62.8756, aux.loss_ce: 0.2789, aux.acc_seg: 62.4096, loss: 0.9392 2022-06-18 10:38:14,012 - mmseg - INFO - Iter [19050/160000] lr: 5.427e-05, eta: 9:22:45, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6543, decode.acc_seg: 62.0303, aux.loss_ce: 0.2778, aux.acc_seg: 61.2058, loss: 0.9321 2022-06-18 10:38:25,943 - mmseg - INFO - Iter [19100/160000] lr: 5.425e-05, eta: 9:22:33, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6378, decode.acc_seg: 62.6126, aux.loss_ce: 0.2699, aux.acc_seg: 61.9424, loss: 0.9077 2022-06-18 10:38:37,571 - mmseg - INFO - Iter [19150/160000] lr: 5.423e-05, eta: 9:22:18, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.7028, decode.acc_seg: 61.2305, aux.loss_ce: 0.2948, aux.acc_seg: 60.6495, loss: 0.9976 2022-06-18 10:38:49,214 - mmseg - INFO - Iter [19200/160000] lr: 5.421e-05, eta: 9:22:04, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6734, decode.acc_seg: 61.7238, aux.loss_ce: 0.2811, aux.acc_seg: 61.3561, loss: 0.9545 2022-06-18 10:39:01,177 - mmseg - INFO - Iter [19250/160000] lr: 5.419e-05, eta: 9:21:52, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6325, decode.acc_seg: 61.2821, aux.loss_ce: 0.2695, aux.acc_seg: 60.4178, loss: 0.9020 2022-06-18 10:39:12,888 - mmseg - INFO - Iter [19300/160000] lr: 5.417e-05, eta: 9:21:38, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6924, decode.acc_seg: 61.4692, aux.loss_ce: 0.2937, aux.acc_seg: 60.7287, loss: 0.9860 2022-06-18 10:39:24,541 - mmseg - INFO - Iter [19350/160000] lr: 5.415e-05, eta: 9:21:23, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6710, decode.acc_seg: 60.6074, aux.loss_ce: 0.2820, aux.acc_seg: 60.0667, loss: 0.9530 2022-06-18 10:39:36,337 - mmseg - INFO - Iter [19400/160000] lr: 5.413e-05, eta: 9:21:10, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6442, decode.acc_seg: 63.0271, aux.loss_ce: 0.2697, aux.acc_seg: 62.4777, loss: 0.9139 2022-06-18 10:39:47,994 - mmseg - INFO - Iter [19450/160000] lr: 5.411e-05, eta: 9:20:56, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6660, decode.acc_seg: 60.3766, aux.loss_ce: 0.2796, aux.acc_seg: 59.8275, loss: 0.9456 2022-06-18 10:39:59,758 - mmseg - INFO - Iter [19500/160000] lr: 5.409e-05, eta: 9:20:42, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6252, decode.acc_seg: 62.4005, aux.loss_ce: 0.2653, aux.acc_seg: 61.6625, loss: 0.8905 2022-06-18 10:40:11,371 - mmseg - INFO - Iter [19550/160000] lr: 5.407e-05, eta: 9:20:28, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6490, decode.acc_seg: 61.2439, aux.loss_ce: 0.2715, aux.acc_seg: 60.5637, loss: 0.9205 2022-06-18 10:40:23,292 - mmseg - INFO - Iter [19600/160000] lr: 5.406e-05, eta: 9:20:15, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6805, decode.acc_seg: 58.9404, aux.loss_ce: 0.2892, aux.acc_seg: 58.1646, loss: 0.9697 2022-06-18 10:40:34,987 - mmseg - INFO - Iter [19650/160000] lr: 5.404e-05, eta: 9:20:02, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6291, decode.acc_seg: 61.3726, aux.loss_ce: 0.2675, aux.acc_seg: 60.7694, loss: 0.8966 2022-06-18 10:40:46,708 - mmseg - INFO - Iter [19700/160000] lr: 5.402e-05, eta: 9:19:48, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6204, decode.acc_seg: 61.3112, aux.loss_ce: 0.2621, aux.acc_seg: 60.7753, loss: 0.8826 2022-06-18 10:40:58,543 - mmseg - INFO - Iter [19750/160000] lr: 5.400e-05, eta: 9:19:35, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5902, decode.acc_seg: 62.3558, aux.loss_ce: 0.2519, aux.acc_seg: 61.6719, loss: 0.8421 2022-06-18 10:41:10,039 - mmseg - INFO - Iter [19800/160000] lr: 5.398e-05, eta: 9:19:19, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6786, decode.acc_seg: 61.5136, aux.loss_ce: 0.2857, aux.acc_seg: 61.0774, loss: 0.9643 2022-06-18 10:41:21,613 - mmseg - INFO - Iter [19850/160000] lr: 5.396e-05, eta: 9:19:05, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6191, decode.acc_seg: 62.6043, aux.loss_ce: 0.2607, aux.acc_seg: 61.9852, loss: 0.8798 2022-06-18 10:41:33,308 - mmseg - INFO - Iter [19900/160000] lr: 5.394e-05, eta: 9:18:51, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6575, decode.acc_seg: 61.1506, aux.loss_ce: 0.2764, aux.acc_seg: 60.3948, loss: 0.9340 2022-06-18 10:41:44,911 - mmseg - INFO - Iter [19950/160000] lr: 5.392e-05, eta: 9:18:36, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6502, decode.acc_seg: 62.9391, aux.loss_ce: 0.2794, aux.acc_seg: 62.2015, loss: 0.9296 2022-06-18 10:41:56,344 - mmseg - INFO - Saving checkpoint at 20000 iterations 2022-06-18 10:41:57,105 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 10:41:57,105 - mmseg - INFO - Iter [20000/160000] lr: 5.390e-05, eta: 9:18:26, time: 0.244, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6422, decode.acc_seg: 62.0780, aux.loss_ce: 0.2690, aux.acc_seg: 61.4826, loss: 0.9112 2022-06-18 10:42:08,726 - mmseg - INFO - Iter [20050/160000] lr: 5.388e-05, eta: 9:18:12, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6362, decode.acc_seg: 62.7110, aux.loss_ce: 0.2685, aux.acc_seg: 61.9052, loss: 0.9046 2022-06-18 10:42:20,540 - mmseg - INFO - Iter [20100/160000] lr: 5.386e-05, eta: 9:17:59, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6293, decode.acc_seg: 60.9725, aux.loss_ce: 0.2641, aux.acc_seg: 60.4244, loss: 0.8934 2022-06-18 10:42:32,162 - mmseg - INFO - Iter [20150/160000] lr: 5.384e-05, eta: 9:17:44, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6670, decode.acc_seg: 61.7473, aux.loss_ce: 0.2791, aux.acc_seg: 60.9232, loss: 0.9462 2022-06-18 10:42:43,931 - mmseg - INFO - Iter [20200/160000] lr: 5.382e-05, eta: 9:17:31, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6648, decode.acc_seg: 61.0552, aux.loss_ce: 0.2802, aux.acc_seg: 60.6246, loss: 0.9450 2022-06-18 10:42:57,903 - mmseg - INFO - Iter [20250/160000] lr: 5.381e-05, eta: 9:17:33, time: 0.279, data_time: 0.048, memory: 36048, decode.loss_ce: 0.6292, decode.acc_seg: 61.3409, aux.loss_ce: 0.2659, aux.acc_seg: 60.5080, loss: 0.8951 2022-06-18 10:43:09,733 - mmseg - INFO - Iter [20300/160000] lr: 5.379e-05, eta: 9:17:20, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6543, decode.acc_seg: 60.1895, aux.loss_ce: 0.2750, aux.acc_seg: 59.6772, loss: 0.9293 2022-06-18 10:43:21,790 - mmseg - INFO - Iter [20350/160000] lr: 5.377e-05, eta: 9:17:08, time: 0.241, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6141, decode.acc_seg: 62.0648, aux.loss_ce: 0.2600, aux.acc_seg: 61.4432, loss: 0.8740 2022-06-18 10:43:33,418 - mmseg - INFO - Iter [20400/160000] lr: 5.375e-05, eta: 9:16:54, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6009, decode.acc_seg: 62.0413, aux.loss_ce: 0.2525, aux.acc_seg: 61.2980, loss: 0.8534 2022-06-18 10:43:45,302 - mmseg - INFO - Iter [20450/160000] lr: 5.373e-05, eta: 9:16:42, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5793, decode.acc_seg: 63.3515, aux.loss_ce: 0.2470, aux.acc_seg: 62.6188, loss: 0.8263 2022-06-18 10:43:57,103 - mmseg - INFO - Iter [20500/160000] lr: 5.371e-05, eta: 9:16:29, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6282, decode.acc_seg: 62.0247, aux.loss_ce: 0.2703, aux.acc_seg: 61.1023, loss: 0.8985 2022-06-18 10:44:08,823 - mmseg - INFO - Iter [20550/160000] lr: 5.369e-05, eta: 9:16:15, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6607, decode.acc_seg: 60.9884, aux.loss_ce: 0.2796, aux.acc_seg: 60.1030, loss: 0.9403 2022-06-18 10:44:20,444 - mmseg - INFO - Iter [20600/160000] lr: 5.367e-05, eta: 9:16:01, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6282, decode.acc_seg: 61.4450, aux.loss_ce: 0.2641, aux.acc_seg: 60.9135, loss: 0.8923 2022-06-18 10:44:32,044 - mmseg - INFO - Iter [20650/160000] lr: 5.365e-05, eta: 9:15:46, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6761, decode.acc_seg: 62.6805, aux.loss_ce: 0.2821, aux.acc_seg: 62.1479, loss: 0.9582 2022-06-18 10:44:43,687 - mmseg - INFO - Iter [20700/160000] lr: 5.363e-05, eta: 9:15:32, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6159, decode.acc_seg: 62.1094, aux.loss_ce: 0.2613, aux.acc_seg: 61.4583, loss: 0.8771 2022-06-18 10:44:55,363 - mmseg - INFO - Iter [20750/160000] lr: 5.361e-05, eta: 9:15:18, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6423, decode.acc_seg: 62.9789, aux.loss_ce: 0.2716, aux.acc_seg: 62.2758, loss: 0.9139 2022-06-18 10:45:07,123 - mmseg - INFO - Iter [20800/160000] lr: 5.359e-05, eta: 9:15:05, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6415, decode.acc_seg: 62.8875, aux.loss_ce: 0.2724, aux.acc_seg: 61.8969, loss: 0.9140 2022-06-18 10:45:18,749 - mmseg - INFO - Iter [20850/160000] lr: 5.357e-05, eta: 9:14:51, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6571, decode.acc_seg: 61.8100, aux.loss_ce: 0.2781, aux.acc_seg: 61.2625, loss: 0.9352 2022-06-18 10:45:30,472 - mmseg - INFO - Iter [20900/160000] lr: 5.355e-05, eta: 9:14:37, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6493, decode.acc_seg: 61.3453, aux.loss_ce: 0.2748, aux.acc_seg: 60.5139, loss: 0.9241 2022-06-18 10:45:42,116 - mmseg - INFO - Iter [20950/160000] lr: 5.354e-05, eta: 9:14:23, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6323, decode.acc_seg: 61.9180, aux.loss_ce: 0.2660, aux.acc_seg: 61.1428, loss: 0.8983 2022-06-18 10:45:53,724 - mmseg - INFO - Saving checkpoint at 21000 iterations 2022-06-18 10:45:54,415 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 10:45:54,415 - mmseg - INFO - Iter [21000/160000] lr: 5.352e-05, eta: 9:14:13, time: 0.246, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6576, decode.acc_seg: 60.7978, aux.loss_ce: 0.2784, aux.acc_seg: 60.1292, loss: 0.9360 2022-06-18 10:46:05,967 - mmseg - INFO - Iter [21050/160000] lr: 5.350e-05, eta: 9:13:58, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6327, decode.acc_seg: 62.4208, aux.loss_ce: 0.2666, aux.acc_seg: 61.8179, loss: 0.8994 2022-06-18 10:46:17,639 - mmseg - INFO - Iter [21100/160000] lr: 5.348e-05, eta: 9:13:45, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6380, decode.acc_seg: 61.3466, aux.loss_ce: 0.2714, aux.acc_seg: 60.5613, loss: 0.9095 2022-06-18 10:46:29,595 - mmseg - INFO - Iter [21150/160000] lr: 5.346e-05, eta: 9:13:33, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6460, decode.acc_seg: 61.5093, aux.loss_ce: 0.2742, aux.acc_seg: 60.7354, loss: 0.9202 2022-06-18 10:46:41,340 - mmseg - INFO - Iter [21200/160000] lr: 5.344e-05, eta: 9:13:19, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6413, decode.acc_seg: 60.8510, aux.loss_ce: 0.2705, aux.acc_seg: 60.3997, loss: 0.9118 2022-06-18 10:46:53,020 - mmseg - INFO - Iter [21250/160000] lr: 5.342e-05, eta: 9:13:05, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6413, decode.acc_seg: 60.3524, aux.loss_ce: 0.2700, aux.acc_seg: 59.7159, loss: 0.9113 2022-06-18 10:47:04,567 - mmseg - INFO - Iter [21300/160000] lr: 5.340e-05, eta: 9:12:51, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6548, decode.acc_seg: 61.6233, aux.loss_ce: 0.2776, aux.acc_seg: 60.7686, loss: 0.9324 2022-06-18 10:47:16,236 - mmseg - INFO - Iter [21350/160000] lr: 5.338e-05, eta: 9:12:37, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6350, decode.acc_seg: 63.5501, aux.loss_ce: 0.2644, aux.acc_seg: 63.2692, loss: 0.8994 2022-06-18 10:47:28,260 - mmseg - INFO - Iter [21400/160000] lr: 5.336e-05, eta: 9:12:25, time: 0.241, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6009, decode.acc_seg: 63.5306, aux.loss_ce: 0.2558, aux.acc_seg: 62.9649, loss: 0.8567 2022-06-18 10:47:40,083 - mmseg - INFO - Iter [21450/160000] lr: 5.334e-05, eta: 9:12:13, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6877, decode.acc_seg: 61.4062, aux.loss_ce: 0.2941, aux.acc_seg: 60.4085, loss: 0.9818 2022-06-18 10:47:53,836 - mmseg - INFO - Iter [21500/160000] lr: 5.332e-05, eta: 9:12:12, time: 0.276, data_time: 0.050, memory: 36048, decode.loss_ce: 0.6089, decode.acc_seg: 62.2416, aux.loss_ce: 0.2566, aux.acc_seg: 61.5739, loss: 0.8655 2022-06-18 10:48:05,511 - mmseg - INFO - Iter [21550/160000] lr: 5.330e-05, eta: 9:11:58, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6600, decode.acc_seg: 62.6405, aux.loss_ce: 0.2775, aux.acc_seg: 61.9516, loss: 0.9374 2022-06-18 10:48:17,214 - mmseg - INFO - Iter [21600/160000] lr: 5.329e-05, eta: 9:11:45, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6400, decode.acc_seg: 61.9813, aux.loss_ce: 0.2718, aux.acc_seg: 61.1269, loss: 0.9118 2022-06-18 10:48:28,977 - mmseg - INFO - Iter [21650/160000] lr: 5.327e-05, eta: 9:11:32, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5806, decode.acc_seg: 62.9162, aux.loss_ce: 0.2473, aux.acc_seg: 62.3426, loss: 0.8279 2022-06-18 10:48:40,434 - mmseg - INFO - Iter [21700/160000] lr: 5.325e-05, eta: 9:11:16, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6270, decode.acc_seg: 60.8382, aux.loss_ce: 0.2667, aux.acc_seg: 60.1208, loss: 0.8936 2022-06-18 10:48:52,022 - mmseg - INFO - Iter [21750/160000] lr: 5.323e-05, eta: 9:11:02, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5931, decode.acc_seg: 64.0405, aux.loss_ce: 0.2521, aux.acc_seg: 63.3919, loss: 0.8452 2022-06-18 10:49:03,688 - mmseg - INFO - Iter [21800/160000] lr: 5.321e-05, eta: 9:10:48, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6676, decode.acc_seg: 60.6548, aux.loss_ce: 0.2808, aux.acc_seg: 60.0487, loss: 0.9484 2022-06-18 10:49:15,395 - mmseg - INFO - Iter [21850/160000] lr: 5.319e-05, eta: 9:10:35, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6224, decode.acc_seg: 62.7636, aux.loss_ce: 0.2582, aux.acc_seg: 62.3452, loss: 0.8806 2022-06-18 10:49:27,293 - mmseg - INFO - Iter [21900/160000] lr: 5.317e-05, eta: 9:10:23, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6342, decode.acc_seg: 62.4208, aux.loss_ce: 0.2686, aux.acc_seg: 61.8135, loss: 0.9029 2022-06-18 10:49:39,003 - mmseg - INFO - Iter [21950/160000] lr: 5.315e-05, eta: 9:10:09, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6362, decode.acc_seg: 61.8765, aux.loss_ce: 0.2672, aux.acc_seg: 61.4539, loss: 0.9034 2022-06-18 10:49:50,734 - mmseg - INFO - Saving checkpoint at 22000 iterations 2022-06-18 10:49:51,420 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 10:49:51,420 - mmseg - INFO - Iter [22000/160000] lr: 5.313e-05, eta: 9:10:00, time: 0.249, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5928, decode.acc_seg: 62.5867, aux.loss_ce: 0.2519, aux.acc_seg: 61.8242, loss: 0.8447 2022-06-18 10:50:02,837 - mmseg - INFO - Iter [22050/160000] lr: 5.311e-05, eta: 9:09:45, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6226, decode.acc_seg: 61.2856, aux.loss_ce: 0.2623, aux.acc_seg: 60.5221, loss: 0.8849 2022-06-18 10:50:14,545 - mmseg - INFO - Iter [22100/160000] lr: 5.309e-05, eta: 9:09:31, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6323, decode.acc_seg: 62.0098, aux.loss_ce: 0.2668, aux.acc_seg: 61.5541, loss: 0.8991 2022-06-18 10:50:26,186 - mmseg - INFO - Iter [22150/160000] lr: 5.307e-05, eta: 9:09:17, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6248, decode.acc_seg: 62.7343, aux.loss_ce: 0.2658, aux.acc_seg: 62.2947, loss: 0.8906 2022-06-18 10:50:38,099 - mmseg - INFO - Iter [22200/160000] lr: 5.305e-05, eta: 9:09:05, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5917, decode.acc_seg: 62.1836, aux.loss_ce: 0.2522, aux.acc_seg: 61.1956, loss: 0.8439 2022-06-18 10:50:49,839 - mmseg - INFO - Iter [22250/160000] lr: 5.304e-05, eta: 9:08:52, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6436, decode.acc_seg: 62.0921, aux.loss_ce: 0.2713, aux.acc_seg: 61.6236, loss: 0.9149 2022-06-18 10:51:01,310 - mmseg - INFO - Iter [22300/160000] lr: 5.302e-05, eta: 9:08:37, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6338, decode.acc_seg: 61.2819, aux.loss_ce: 0.2695, aux.acc_seg: 60.4640, loss: 0.9032 2022-06-18 10:51:13,022 - mmseg - INFO - Iter [22350/160000] lr: 5.300e-05, eta: 9:08:23, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6308, decode.acc_seg: 62.8089, aux.loss_ce: 0.2658, aux.acc_seg: 62.1257, loss: 0.8965 2022-06-18 10:51:24,618 - mmseg - INFO - Iter [22400/160000] lr: 5.298e-05, eta: 9:08:09, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6386, decode.acc_seg: 63.0273, aux.loss_ce: 0.2699, aux.acc_seg: 62.4145, loss: 0.9085 2022-06-18 10:51:36,358 - mmseg - INFO - Iter [22450/160000] lr: 5.296e-05, eta: 9:07:56, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6090, decode.acc_seg: 63.6292, aux.loss_ce: 0.2579, aux.acc_seg: 63.0215, loss: 0.8669 2022-06-18 10:51:48,155 - mmseg - INFO - Iter [22500/160000] lr: 5.294e-05, eta: 9:07:43, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6357, decode.acc_seg: 61.5307, aux.loss_ce: 0.2683, aux.acc_seg: 61.0384, loss: 0.9039 2022-06-18 10:51:59,970 - mmseg - INFO - Iter [22550/160000] lr: 5.292e-05, eta: 9:07:30, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6573, decode.acc_seg: 62.0858, aux.loss_ce: 0.2750, aux.acc_seg: 61.5119, loss: 0.9323 2022-06-18 10:52:11,720 - mmseg - INFO - Iter [22600/160000] lr: 5.290e-05, eta: 9:07:17, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6499, decode.acc_seg: 61.5788, aux.loss_ce: 0.2778, aux.acc_seg: 60.5899, loss: 0.9276 2022-06-18 10:52:23,496 - mmseg - INFO - Iter [22650/160000] lr: 5.288e-05, eta: 9:07:04, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6333, decode.acc_seg: 62.1335, aux.loss_ce: 0.2674, aux.acc_seg: 61.5563, loss: 0.9008 2022-06-18 10:52:35,035 - mmseg - INFO - Iter [22700/160000] lr: 5.286e-05, eta: 9:06:50, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6390, decode.acc_seg: 61.2203, aux.loss_ce: 0.2689, aux.acc_seg: 60.5718, loss: 0.9078 2022-06-18 10:52:48,686 - mmseg - INFO - Iter [22750/160000] lr: 5.284e-05, eta: 9:06:48, time: 0.273, data_time: 0.049, memory: 36048, decode.loss_ce: 0.6674, decode.acc_seg: 62.0309, aux.loss_ce: 0.2835, aux.acc_seg: 60.9776, loss: 0.9508 2022-06-18 10:53:00,598 - mmseg - INFO - Iter [22800/160000] lr: 5.282e-05, eta: 9:06:36, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5920, decode.acc_seg: 62.8837, aux.loss_ce: 0.2531, aux.acc_seg: 62.0403, loss: 0.8451 2022-06-18 10:53:12,087 - mmseg - INFO - Iter [22850/160000] lr: 5.280e-05, eta: 9:06:21, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6182, decode.acc_seg: 61.8876, aux.loss_ce: 0.2621, aux.acc_seg: 61.2108, loss: 0.8803 2022-06-18 10:53:23,820 - mmseg - INFO - Iter [22900/160000] lr: 5.278e-05, eta: 9:06:08, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6300, decode.acc_seg: 62.4675, aux.loss_ce: 0.2680, aux.acc_seg: 61.9052, loss: 0.8980 2022-06-18 10:53:35,548 - mmseg - INFO - Iter [22950/160000] lr: 5.277e-05, eta: 9:05:54, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5650, decode.acc_seg: 62.9527, aux.loss_ce: 0.2415, aux.acc_seg: 62.2172, loss: 0.8065 2022-06-18 10:53:47,223 - mmseg - INFO - Saving checkpoint at 23000 iterations 2022-06-18 10:53:47,926 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 10:53:47,926 - mmseg - INFO - Iter [23000/160000] lr: 5.275e-05, eta: 9:05:45, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6040, decode.acc_seg: 62.0528, aux.loss_ce: 0.2584, aux.acc_seg: 61.2524, loss: 0.8624 2022-06-18 10:53:59,531 - mmseg - INFO - Iter [23050/160000] lr: 5.273e-05, eta: 9:05:31, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6224, decode.acc_seg: 63.1521, aux.loss_ce: 0.2653, aux.acc_seg: 62.0903, loss: 0.8876 2022-06-18 10:54:11,521 - mmseg - INFO - Iter [23100/160000] lr: 5.271e-05, eta: 9:05:19, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6053, decode.acc_seg: 62.9396, aux.loss_ce: 0.2550, aux.acc_seg: 62.4889, loss: 0.8603 2022-06-18 10:54:23,051 - mmseg - INFO - Iter [23150/160000] lr: 5.269e-05, eta: 9:05:05, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6099, decode.acc_seg: 61.5515, aux.loss_ce: 0.2617, aux.acc_seg: 60.5747, loss: 0.8717 2022-06-18 10:54:34,777 - mmseg - INFO - Iter [23200/160000] lr: 5.267e-05, eta: 9:04:52, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5837, decode.acc_seg: 60.5497, aux.loss_ce: 0.2468, aux.acc_seg: 59.7957, loss: 0.8305 2022-06-18 10:54:46,253 - mmseg - INFO - Iter [23250/160000] lr: 5.265e-05, eta: 9:04:37, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6183, decode.acc_seg: 62.1965, aux.loss_ce: 0.2619, aux.acc_seg: 61.5581, loss: 0.8802 2022-06-18 10:54:57,981 - mmseg - INFO - Iter [23300/160000] lr: 5.263e-05, eta: 9:04:24, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6328, decode.acc_seg: 62.3329, aux.loss_ce: 0.2675, aux.acc_seg: 61.7931, loss: 0.9003 2022-06-18 10:55:09,747 - mmseg - INFO - Iter [23350/160000] lr: 5.261e-05, eta: 9:04:11, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6290, decode.acc_seg: 60.8652, aux.loss_ce: 0.2652, aux.acc_seg: 60.2020, loss: 0.8943 2022-06-18 10:55:21,281 - mmseg - INFO - Iter [23400/160000] lr: 5.259e-05, eta: 9:03:56, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6424, decode.acc_seg: 61.2679, aux.loss_ce: 0.2726, aux.acc_seg: 60.4685, loss: 0.9150 2022-06-18 10:55:32,773 - mmseg - INFO - Iter [23450/160000] lr: 5.257e-05, eta: 9:03:42, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6381, decode.acc_seg: 60.6091, aux.loss_ce: 0.2700, aux.acc_seg: 59.8610, loss: 0.9081 2022-06-18 10:55:44,386 - mmseg - INFO - Iter [23500/160000] lr: 5.255e-05, eta: 9:03:28, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5994, decode.acc_seg: 62.6274, aux.loss_ce: 0.2570, aux.acc_seg: 61.6623, loss: 0.8564 2022-06-18 10:55:56,024 - mmseg - INFO - Iter [23550/160000] lr: 5.253e-05, eta: 9:03:14, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6162, decode.acc_seg: 62.4320, aux.loss_ce: 0.2628, aux.acc_seg: 61.6461, loss: 0.8790 2022-06-18 10:56:07,638 - mmseg - INFO - Iter [23600/160000] lr: 5.252e-05, eta: 9:03:00, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6402, decode.acc_seg: 62.9497, aux.loss_ce: 0.2703, aux.acc_seg: 62.3301, loss: 0.9106 2022-06-18 10:56:19,178 - mmseg - INFO - Iter [23650/160000] lr: 5.250e-05, eta: 9:02:46, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6082, decode.acc_seg: 61.7701, aux.loss_ce: 0.2586, aux.acc_seg: 60.9886, loss: 0.8668 2022-06-18 10:56:31,102 - mmseg - INFO - Iter [23700/160000] lr: 5.248e-05, eta: 9:02:34, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6307, decode.acc_seg: 61.0807, aux.loss_ce: 0.2655, aux.acc_seg: 60.3769, loss: 0.8961 2022-06-18 10:56:42,818 - mmseg - INFO - Iter [23750/160000] lr: 5.246e-05, eta: 9:02:21, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6043, decode.acc_seg: 62.8916, aux.loss_ce: 0.2575, aux.acc_seg: 62.3103, loss: 0.8618 2022-06-18 10:56:54,481 - mmseg - INFO - Iter [23800/160000] lr: 5.244e-05, eta: 9:02:07, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6183, decode.acc_seg: 61.4741, aux.loss_ce: 0.2608, aux.acc_seg: 61.1051, loss: 0.8792 2022-06-18 10:57:06,351 - mmseg - INFO - Iter [23850/160000] lr: 5.242e-05, eta: 9:01:55, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6425, decode.acc_seg: 62.9350, aux.loss_ce: 0.2710, aux.acc_seg: 62.3715, loss: 0.9134 2022-06-18 10:57:17,871 - mmseg - INFO - Iter [23900/160000] lr: 5.240e-05, eta: 9:01:41, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6603, decode.acc_seg: 62.6676, aux.loss_ce: 0.2812, aux.acc_seg: 61.8291, loss: 0.9415 2022-06-18 10:57:29,488 - mmseg - INFO - Iter [23950/160000] lr: 5.238e-05, eta: 9:01:27, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6358, decode.acc_seg: 60.6203, aux.loss_ce: 0.2664, aux.acc_seg: 60.0838, loss: 0.9022 2022-06-18 10:57:43,340 - mmseg - INFO - Saving checkpoint at 24000 iterations 2022-06-18 10:57:44,030 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 10:57:44,030 - mmseg - INFO - Iter [24000/160000] lr: 5.236e-05, eta: 9:01:30, time: 0.291, data_time: 0.047, memory: 36048, decode.loss_ce: 0.6093, decode.acc_seg: 62.5838, aux.loss_ce: 0.2567, aux.acc_seg: 61.9127, loss: 0.8660 2022-06-18 10:57:55,596 - mmseg - INFO - Iter [24050/160000] lr: 5.234e-05, eta: 9:01:16, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5640, decode.acc_seg: 64.2133, aux.loss_ce: 0.2404, aux.acc_seg: 63.3355, loss: 0.8045 2022-06-18 10:58:07,212 - mmseg - INFO - Iter [24100/160000] lr: 5.232e-05, eta: 9:01:02, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5888, decode.acc_seg: 63.6294, aux.loss_ce: 0.2526, aux.acc_seg: 62.6232, loss: 0.8414 2022-06-18 10:58:18,670 - mmseg - INFO - Iter [24150/160000] lr: 5.230e-05, eta: 9:00:47, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6373, decode.acc_seg: 62.5190, aux.loss_ce: 0.2685, aux.acc_seg: 62.0091, loss: 0.9058 2022-06-18 10:58:30,464 - mmseg - INFO - Iter [24200/160000] lr: 5.228e-05, eta: 9:00:34, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5873, decode.acc_seg: 62.2432, aux.loss_ce: 0.2504, aux.acc_seg: 61.7103, loss: 0.8377 2022-06-18 10:58:41,981 - mmseg - INFO - Iter [24250/160000] lr: 5.227e-05, eta: 9:00:20, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6128, decode.acc_seg: 64.4155, aux.loss_ce: 0.2594, aux.acc_seg: 63.7855, loss: 0.8722 2022-06-18 10:58:53,687 - mmseg - INFO - Iter [24300/160000] lr: 5.225e-05, eta: 9:00:07, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6250, decode.acc_seg: 63.6984, aux.loss_ce: 0.2670, aux.acc_seg: 62.6832, loss: 0.8920 2022-06-18 10:59:05,480 - mmseg - INFO - Iter [24350/160000] lr: 5.223e-05, eta: 8:59:54, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5843, decode.acc_seg: 62.7268, aux.loss_ce: 0.2480, aux.acc_seg: 62.0747, loss: 0.8323 2022-06-18 10:59:17,392 - mmseg - INFO - Iter [24400/160000] lr: 5.221e-05, eta: 8:59:42, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5748, decode.acc_seg: 65.3694, aux.loss_ce: 0.2444, aux.acc_seg: 64.4654, loss: 0.8192 2022-06-18 10:59:29,762 - mmseg - INFO - Iter [24450/160000] lr: 5.219e-05, eta: 8:59:32, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6068, decode.acc_seg: 61.6455, aux.loss_ce: 0.2612, aux.acc_seg: 60.8350, loss: 0.8680 2022-06-18 10:59:41,211 - mmseg - INFO - Iter [24500/160000] lr: 5.217e-05, eta: 8:59:18, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5841, decode.acc_seg: 64.9595, aux.loss_ce: 0.2500, aux.acc_seg: 64.2904, loss: 0.8341 2022-06-18 10:59:52,956 - mmseg - INFO - Iter [24550/160000] lr: 5.215e-05, eta: 8:59:05, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5802, decode.acc_seg: 64.0729, aux.loss_ce: 0.2474, aux.acc_seg: 63.2743, loss: 0.8275 2022-06-18 11:00:04,729 - mmseg - INFO - Iter [24600/160000] lr: 5.213e-05, eta: 8:58:52, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6031, decode.acc_seg: 61.3744, aux.loss_ce: 0.2575, aux.acc_seg: 60.8107, loss: 0.8607 2022-06-18 11:00:16,498 - mmseg - INFO - Iter [24650/160000] lr: 5.211e-05, eta: 8:58:39, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6021, decode.acc_seg: 61.8701, aux.loss_ce: 0.2555, aux.acc_seg: 61.1347, loss: 0.8576 2022-06-18 11:00:28,185 - mmseg - INFO - Iter [24700/160000] lr: 5.209e-05, eta: 8:58:26, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6190, decode.acc_seg: 62.7682, aux.loss_ce: 0.2628, aux.acc_seg: 62.0175, loss: 0.8819 2022-06-18 11:00:39,713 - mmseg - INFO - Iter [24750/160000] lr: 5.207e-05, eta: 8:58:11, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6058, decode.acc_seg: 62.1843, aux.loss_ce: 0.2586, aux.acc_seg: 61.4745, loss: 0.8643 2022-06-18 11:00:51,229 - mmseg - INFO - Iter [24800/160000] lr: 5.205e-05, eta: 8:57:57, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6081, decode.acc_seg: 63.4257, aux.loss_ce: 0.2599, aux.acc_seg: 62.5847, loss: 0.8681 2022-06-18 11:01:03,119 - mmseg - INFO - Iter [24850/160000] lr: 5.203e-05, eta: 8:57:45, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6064, decode.acc_seg: 61.4022, aux.loss_ce: 0.2597, aux.acc_seg: 60.5143, loss: 0.8662 2022-06-18 11:01:15,031 - mmseg - INFO - Iter [24900/160000] lr: 5.201e-05, eta: 8:57:33, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6224, decode.acc_seg: 62.1063, aux.loss_ce: 0.2638, aux.acc_seg: 61.4756, loss: 0.8862 2022-06-18 11:01:26,504 - mmseg - INFO - Iter [24950/160000] lr: 5.200e-05, eta: 8:57:18, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6337, decode.acc_seg: 62.8785, aux.loss_ce: 0.2676, aux.acc_seg: 62.2921, loss: 0.9013 2022-06-18 11:01:38,045 - mmseg - INFO - Saving checkpoint at 25000 iterations 2022-06-18 11:01:38,731 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 11:01:38,731 - mmseg - INFO - Iter [25000/160000] lr: 5.198e-05, eta: 8:57:08, time: 0.245, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5941, decode.acc_seg: 63.6652, aux.loss_ce: 0.2555, aux.acc_seg: 62.9188, loss: 0.8496 2022-06-18 11:01:50,331 - mmseg - INFO - Iter [25050/160000] lr: 5.196e-05, eta: 8:56:54, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6425, decode.acc_seg: 60.8111, aux.loss_ce: 0.2739, aux.acc_seg: 60.1498, loss: 0.9164 2022-06-18 11:02:02,025 - mmseg - INFO - Iter [25100/160000] lr: 5.194e-05, eta: 8:56:41, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6060, decode.acc_seg: 62.1769, aux.loss_ce: 0.2546, aux.acc_seg: 61.7442, loss: 0.8606 2022-06-18 11:02:13,643 - mmseg - INFO - Iter [25150/160000] lr: 5.192e-05, eta: 8:56:27, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6559, decode.acc_seg: 61.2491, aux.loss_ce: 0.2784, aux.acc_seg: 60.6307, loss: 0.9343 2022-06-18 11:02:25,355 - mmseg - INFO - Iter [25200/160000] lr: 5.190e-05, eta: 8:56:14, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5776, decode.acc_seg: 62.9855, aux.loss_ce: 0.2458, aux.acc_seg: 62.4650, loss: 0.8234 2022-06-18 11:02:37,049 - mmseg - INFO - Iter [25250/160000] lr: 5.188e-05, eta: 8:56:01, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6188, decode.acc_seg: 63.4282, aux.loss_ce: 0.2647, aux.acc_seg: 62.5189, loss: 0.8835 2022-06-18 11:02:50,866 - mmseg - INFO - Iter [25300/160000] lr: 5.186e-05, eta: 8:55:59, time: 0.276, data_time: 0.049, memory: 36048, decode.loss_ce: 0.6201, decode.acc_seg: 61.2615, aux.loss_ce: 0.2646, aux.acc_seg: 60.5848, loss: 0.8847 2022-06-18 11:03:02,798 - mmseg - INFO - Iter [25350/160000] lr: 5.184e-05, eta: 8:55:47, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5998, decode.acc_seg: 64.6087, aux.loss_ce: 0.2559, aux.acc_seg: 63.9033, loss: 0.8557 2022-06-18 11:03:14,248 - mmseg - INFO - Iter [25400/160000] lr: 5.182e-05, eta: 8:55:33, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5816, decode.acc_seg: 62.0070, aux.loss_ce: 0.2476, aux.acc_seg: 61.3405, loss: 0.8292 2022-06-18 11:03:25,844 - mmseg - INFO - Iter [25450/160000] lr: 5.180e-05, eta: 8:55:19, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5913, decode.acc_seg: 63.8010, aux.loss_ce: 0.2515, aux.acc_seg: 62.9874, loss: 0.8428 2022-06-18 11:03:37,516 - mmseg - INFO - Iter [25500/160000] lr: 5.178e-05, eta: 8:55:05, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5990, decode.acc_seg: 62.6387, aux.loss_ce: 0.2561, aux.acc_seg: 61.7256, loss: 0.8551 2022-06-18 11:03:49,000 - mmseg - INFO - Iter [25550/160000] lr: 5.176e-05, eta: 8:54:51, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6071, decode.acc_seg: 63.3663, aux.loss_ce: 0.2595, aux.acc_seg: 62.4951, loss: 0.8666 2022-06-18 11:04:00,466 - mmseg - INFO - Iter [25600/160000] lr: 5.175e-05, eta: 8:54:37, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5957, decode.acc_seg: 62.9459, aux.loss_ce: 0.2523, aux.acc_seg: 62.1438, loss: 0.8480 2022-06-18 11:04:12,267 - mmseg - INFO - Iter [25650/160000] lr: 5.173e-05, eta: 8:54:24, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5968, decode.acc_seg: 62.8056, aux.loss_ce: 0.2559, aux.acc_seg: 61.9441, loss: 0.8527 2022-06-18 11:04:24,027 - mmseg - INFO - Iter [25700/160000] lr: 5.171e-05, eta: 8:54:11, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5753, decode.acc_seg: 61.6081, aux.loss_ce: 0.2470, aux.acc_seg: 61.1875, loss: 0.8223 2022-06-18 11:04:35,946 - mmseg - INFO - Iter [25750/160000] lr: 5.169e-05, eta: 8:53:59, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6175, decode.acc_seg: 63.5729, aux.loss_ce: 0.2634, aux.acc_seg: 62.8913, loss: 0.8809 2022-06-18 11:04:47,562 - mmseg - INFO - Iter [25800/160000] lr: 5.167e-05, eta: 8:53:46, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5841, decode.acc_seg: 63.5474, aux.loss_ce: 0.2499, aux.acc_seg: 62.6558, loss: 0.8339 2022-06-18 11:04:59,053 - mmseg - INFO - Iter [25850/160000] lr: 5.165e-05, eta: 8:53:32, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5851, decode.acc_seg: 63.9187, aux.loss_ce: 0.2493, aux.acc_seg: 63.1509, loss: 0.8344 2022-06-18 11:05:10,602 - mmseg - INFO - Iter [25900/160000] lr: 5.163e-05, eta: 8:53:18, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5863, decode.acc_seg: 62.9924, aux.loss_ce: 0.2501, aux.acc_seg: 62.2648, loss: 0.8364 2022-06-18 11:05:22,562 - mmseg - INFO - Iter [25950/160000] lr: 5.161e-05, eta: 8:53:06, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5792, decode.acc_seg: 63.5192, aux.loss_ce: 0.2472, aux.acc_seg: 62.9075, loss: 0.8264 2022-06-18 11:05:34,180 - mmseg - INFO - Saving checkpoint at 26000 iterations 2022-06-18 11:05:34,878 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 11:05:34,878 - mmseg - INFO - Iter [26000/160000] lr: 5.159e-05, eta: 8:52:56, time: 0.246, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6461, decode.acc_seg: 61.9372, aux.loss_ce: 0.2742, aux.acc_seg: 60.9357, loss: 0.9203 2022-06-18 11:05:46,357 - mmseg - INFO - Iter [26050/160000] lr: 5.157e-05, eta: 8:52:42, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6227, decode.acc_seg: 63.5178, aux.loss_ce: 0.2657, aux.acc_seg: 62.5882, loss: 0.8884 2022-06-18 11:05:58,079 - mmseg - INFO - Iter [26100/160000] lr: 5.155e-05, eta: 8:52:29, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5751, decode.acc_seg: 63.0384, aux.loss_ce: 0.2449, aux.acc_seg: 62.4331, loss: 0.8199 2022-06-18 11:06:09,900 - mmseg - INFO - Iter [26150/160000] lr: 5.153e-05, eta: 8:52:16, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5944, decode.acc_seg: 62.2139, aux.loss_ce: 0.2532, aux.acc_seg: 61.4890, loss: 0.8476 2022-06-18 11:06:21,341 - mmseg - INFO - Iter [26200/160000] lr: 5.151e-05, eta: 8:52:02, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5995, decode.acc_seg: 63.7765, aux.loss_ce: 0.2545, aux.acc_seg: 63.2673, loss: 0.8540 2022-06-18 11:06:33,190 - mmseg - INFO - Iter [26250/160000] lr: 5.150e-05, eta: 8:51:49, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6230, decode.acc_seg: 62.7282, aux.loss_ce: 0.2646, aux.acc_seg: 61.9332, loss: 0.8876 2022-06-18 11:06:44,764 - mmseg - INFO - Iter [26300/160000] lr: 5.148e-05, eta: 8:51:35, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5756, decode.acc_seg: 64.7844, aux.loss_ce: 0.2440, aux.acc_seg: 63.9295, loss: 0.8195 2022-06-18 11:06:56,324 - mmseg - INFO - Iter [26350/160000] lr: 5.146e-05, eta: 8:51:22, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6109, decode.acc_seg: 64.3971, aux.loss_ce: 0.2606, aux.acc_seg: 63.4569, loss: 0.8715 2022-06-18 11:07:07,934 - mmseg - INFO - Iter [26400/160000] lr: 5.144e-05, eta: 8:51:08, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5918, decode.acc_seg: 63.2554, aux.loss_ce: 0.2507, aux.acc_seg: 62.4058, loss: 0.8425 2022-06-18 11:07:19,451 - mmseg - INFO - Iter [26450/160000] lr: 5.142e-05, eta: 8:50:54, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6140, decode.acc_seg: 61.8256, aux.loss_ce: 0.2625, aux.acc_seg: 60.9408, loss: 0.8765 2022-06-18 11:07:31,213 - mmseg - INFO - Iter [26500/160000] lr: 5.140e-05, eta: 8:50:42, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5918, decode.acc_seg: 62.5187, aux.loss_ce: 0.2507, aux.acc_seg: 62.0286, loss: 0.8425 2022-06-18 11:07:44,935 - mmseg - INFO - Iter [26550/160000] lr: 5.138e-05, eta: 8:50:39, time: 0.274, data_time: 0.049, memory: 36048, decode.loss_ce: 0.5998, decode.acc_seg: 63.8580, aux.loss_ce: 0.2544, aux.acc_seg: 63.1804, loss: 0.8542 2022-06-18 11:07:56,622 - mmseg - INFO - Iter [26600/160000] lr: 5.136e-05, eta: 8:50:26, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5923, decode.acc_seg: 62.5133, aux.loss_ce: 0.2507, aux.acc_seg: 61.8452, loss: 0.8431 2022-06-18 11:08:08,157 - mmseg - INFO - Iter [26650/160000] lr: 5.134e-05, eta: 8:50:12, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5686, decode.acc_seg: 62.2189, aux.loss_ce: 0.2409, aux.acc_seg: 61.5789, loss: 0.8095 2022-06-18 11:08:19,637 - mmseg - INFO - Iter [26700/160000] lr: 5.132e-05, eta: 8:49:57, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6283, decode.acc_seg: 62.3099, aux.loss_ce: 0.2661, aux.acc_seg: 61.5937, loss: 0.8944 2022-06-18 11:08:31,345 - mmseg - INFO - Iter [26750/160000] lr: 5.130e-05, eta: 8:49:44, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5655, decode.acc_seg: 63.8004, aux.loss_ce: 0.2430, aux.acc_seg: 62.8002, loss: 0.8085 2022-06-18 11:08:43,254 - mmseg - INFO - Iter [26800/160000] lr: 5.128e-05, eta: 8:49:32, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5551, decode.acc_seg: 62.4471, aux.loss_ce: 0.2347, aux.acc_seg: 61.7777, loss: 0.7899 2022-06-18 11:08:54,970 - mmseg - INFO - Iter [26850/160000] lr: 5.126e-05, eta: 8:49:19, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5594, decode.acc_seg: 64.4398, aux.loss_ce: 0.2433, aux.acc_seg: 63.3099, loss: 0.8028 2022-06-18 11:09:06,576 - mmseg - INFO - Iter [26900/160000] lr: 5.124e-05, eta: 8:49:06, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5743, decode.acc_seg: 61.7363, aux.loss_ce: 0.2451, aux.acc_seg: 61.1760, loss: 0.8194 2022-06-18 11:09:18,120 - mmseg - INFO - Iter [26950/160000] lr: 5.123e-05, eta: 8:48:52, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6246, decode.acc_seg: 62.1111, aux.loss_ce: 0.2653, aux.acc_seg: 61.2924, loss: 0.8899 2022-06-18 11:09:29,724 - mmseg - INFO - Saving checkpoint at 27000 iterations 2022-06-18 11:09:30,419 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 11:09:30,419 - mmseg - INFO - Iter [27000/160000] lr: 5.121e-05, eta: 8:48:42, time: 0.246, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6141, decode.acc_seg: 61.8429, aux.loss_ce: 0.2619, aux.acc_seg: 61.2279, loss: 0.8760 2022-06-18 11:09:41,922 - mmseg - INFO - Iter [27050/160000] lr: 5.119e-05, eta: 8:48:28, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6131, decode.acc_seg: 62.2580, aux.loss_ce: 0.2599, aux.acc_seg: 61.6674, loss: 0.8730 2022-06-18 11:09:53,696 - mmseg - INFO - Iter [27100/160000] lr: 5.117e-05, eta: 8:48:15, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6187, decode.acc_seg: 62.4874, aux.loss_ce: 0.2648, aux.acc_seg: 61.9215, loss: 0.8835 2022-06-18 11:10:05,548 - mmseg - INFO - Iter [27150/160000] lr: 5.115e-05, eta: 8:48:03, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6205, decode.acc_seg: 62.4971, aux.loss_ce: 0.2656, aux.acc_seg: 61.3891, loss: 0.8861 2022-06-18 11:10:17,331 - mmseg - INFO - Iter [27200/160000] lr: 5.113e-05, eta: 8:47:50, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5671, decode.acc_seg: 64.2131, aux.loss_ce: 0.2411, aux.acc_seg: 63.4005, loss: 0.8082 2022-06-18 11:10:29,110 - mmseg - INFO - Iter [27250/160000] lr: 5.111e-05, eta: 8:47:38, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5785, decode.acc_seg: 62.6024, aux.loss_ce: 0.2469, aux.acc_seg: 61.7433, loss: 0.8254 2022-06-18 11:10:40,922 - mmseg - INFO - Iter [27300/160000] lr: 5.109e-05, eta: 8:47:25, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5722, decode.acc_seg: 64.2870, aux.loss_ce: 0.2475, aux.acc_seg: 63.2733, loss: 0.8198 2022-06-18 11:10:52,561 - mmseg - INFO - Iter [27350/160000] lr: 5.107e-05, eta: 8:47:12, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6279, decode.acc_seg: 62.4714, aux.loss_ce: 0.2679, aux.acc_seg: 61.6679, loss: 0.8958 2022-06-18 11:11:04,258 - mmseg - INFO - Iter [27400/160000] lr: 5.105e-05, eta: 8:46:59, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6067, decode.acc_seg: 64.2719, aux.loss_ce: 0.2575, aux.acc_seg: 63.5565, loss: 0.8643 2022-06-18 11:11:15,911 - mmseg - INFO - Iter [27450/160000] lr: 5.103e-05, eta: 8:46:46, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6025, decode.acc_seg: 64.1757, aux.loss_ce: 0.2576, aux.acc_seg: 63.5132, loss: 0.8601 2022-06-18 11:11:27,937 - mmseg - INFO - Iter [27500/160000] lr: 5.101e-05, eta: 8:46:34, time: 0.241, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5748, decode.acc_seg: 64.3694, aux.loss_ce: 0.2458, aux.acc_seg: 63.7191, loss: 0.8206 2022-06-18 11:11:39,742 - mmseg - INFO - Iter [27550/160000] lr: 5.099e-05, eta: 8:46:22, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5845, decode.acc_seg: 63.7768, aux.loss_ce: 0.2485, aux.acc_seg: 63.1363, loss: 0.8330 2022-06-18 11:11:51,416 - mmseg - INFO - Iter [27600/160000] lr: 5.098e-05, eta: 8:46:09, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5918, decode.acc_seg: 63.4727, aux.loss_ce: 0.2521, aux.acc_seg: 62.6307, loss: 0.8439 2022-06-18 11:12:03,332 - mmseg - INFO - Iter [27650/160000] lr: 5.096e-05, eta: 8:45:57, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5733, decode.acc_seg: 62.5906, aux.loss_ce: 0.2447, aux.acc_seg: 62.0961, loss: 0.8180 2022-06-18 11:12:15,132 - mmseg - INFO - Iter [27700/160000] lr: 5.094e-05, eta: 8:45:44, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5538, decode.acc_seg: 64.7583, aux.loss_ce: 0.2348, aux.acc_seg: 63.8305, loss: 0.7886 2022-06-18 11:12:26,878 - mmseg - INFO - Iter [27750/160000] lr: 5.092e-05, eta: 8:45:32, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5732, decode.acc_seg: 64.2763, aux.loss_ce: 0.2456, aux.acc_seg: 63.5929, loss: 0.8188 2022-06-18 11:12:40,502 - mmseg - INFO - Iter [27800/160000] lr: 5.090e-05, eta: 8:45:28, time: 0.272, data_time: 0.050, memory: 36048, decode.loss_ce: 0.5691, decode.acc_seg: 63.7730, aux.loss_ce: 0.2438, aux.acc_seg: 62.9165, loss: 0.8129 2022-06-18 11:12:52,080 - mmseg - INFO - Iter [27850/160000] lr: 5.088e-05, eta: 8:45:14, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5739, decode.acc_seg: 63.7909, aux.loss_ce: 0.2444, aux.acc_seg: 63.3204, loss: 0.8183 2022-06-18 11:13:03,787 - mmseg - INFO - Iter [27900/160000] lr: 5.086e-05, eta: 8:45:01, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5603, decode.acc_seg: 63.3266, aux.loss_ce: 0.2408, aux.acc_seg: 62.3812, loss: 0.8011 2022-06-18 11:13:15,401 - mmseg - INFO - Iter [27950/160000] lr: 5.084e-05, eta: 8:44:48, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5479, decode.acc_seg: 63.6814, aux.loss_ce: 0.2346, aux.acc_seg: 62.8467, loss: 0.7824 2022-06-18 11:13:27,108 - mmseg - INFO - Saving checkpoint at 28000 iterations 2022-06-18 11:13:27,800 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 11:13:27,800 - mmseg - INFO - Iter [28000/160000] lr: 5.082e-05, eta: 8:44:38, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5629, decode.acc_seg: 64.9619, aux.loss_ce: 0.2402, aux.acc_seg: 64.2224, loss: 0.8030 2022-06-18 11:13:39,322 - mmseg - INFO - Iter [28050/160000] lr: 5.080e-05, eta: 8:44:24, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5546, decode.acc_seg: 64.9095, aux.loss_ce: 0.2385, aux.acc_seg: 64.0482, loss: 0.7931 2022-06-18 11:13:50,815 - mmseg - INFO - Iter [28100/160000] lr: 5.078e-05, eta: 8:44:10, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5461, decode.acc_seg: 63.1357, aux.loss_ce: 0.2315, aux.acc_seg: 62.3261, loss: 0.7776 2022-06-18 11:14:02,437 - mmseg - INFO - Iter [28150/160000] lr: 5.076e-05, eta: 8:43:57, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5600, decode.acc_seg: 64.1008, aux.loss_ce: 0.2385, aux.acc_seg: 63.3509, loss: 0.7985 2022-06-18 11:14:14,184 - mmseg - INFO - Iter [28200/160000] lr: 5.074e-05, eta: 8:43:44, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5612, decode.acc_seg: 65.5909, aux.loss_ce: 0.2389, aux.acc_seg: 64.7524, loss: 0.8000 2022-06-18 11:14:25,964 - mmseg - INFO - Iter [28250/160000] lr: 5.072e-05, eta: 8:43:32, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5950, decode.acc_seg: 62.8278, aux.loss_ce: 0.2556, aux.acc_seg: 61.9400, loss: 0.8506 2022-06-18 11:14:37,810 - mmseg - INFO - Iter [28300/160000] lr: 5.071e-05, eta: 8:43:19, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5418, decode.acc_seg: 63.8406, aux.loss_ce: 0.2318, aux.acc_seg: 62.9666, loss: 0.7736 2022-06-18 11:14:49,348 - mmseg - INFO - Iter [28350/160000] lr: 5.069e-05, eta: 8:43:06, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5855, decode.acc_seg: 63.6918, aux.loss_ce: 0.2483, aux.acc_seg: 62.8964, loss: 0.8338 2022-06-18 11:15:01,035 - mmseg - INFO - Iter [28400/160000] lr: 5.067e-05, eta: 8:42:53, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5824, decode.acc_seg: 64.8533, aux.loss_ce: 0.2501, aux.acc_seg: 63.9046, loss: 0.8325 2022-06-18 11:15:12,895 - mmseg - INFO - Iter [28450/160000] lr: 5.065e-05, eta: 8:42:41, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5515, decode.acc_seg: 63.1191, aux.loss_ce: 0.2389, aux.acc_seg: 62.1223, loss: 0.7904 2022-06-18 11:15:24,509 - mmseg - INFO - Iter [28500/160000] lr: 5.063e-05, eta: 8:42:27, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5750, decode.acc_seg: 63.4613, aux.loss_ce: 0.2453, aux.acc_seg: 62.6930, loss: 0.8203 2022-06-18 11:15:36,458 - mmseg - INFO - Iter [28550/160000] lr: 5.061e-05, eta: 8:42:15, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5730, decode.acc_seg: 63.2422, aux.loss_ce: 0.2473, aux.acc_seg: 62.4024, loss: 0.8203 2022-06-18 11:15:47,922 - mmseg - INFO - Iter [28600/160000] lr: 5.059e-05, eta: 8:42:01, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6057, decode.acc_seg: 62.2207, aux.loss_ce: 0.2575, aux.acc_seg: 61.5469, loss: 0.8631 2022-06-18 11:15:59,448 - mmseg - INFO - Iter [28650/160000] lr: 5.057e-05, eta: 8:41:48, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5958, decode.acc_seg: 64.0359, aux.loss_ce: 0.2521, aux.acc_seg: 63.4145, loss: 0.8479 2022-06-18 11:16:11,228 - mmseg - INFO - Iter [28700/160000] lr: 5.055e-05, eta: 8:41:35, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6283, decode.acc_seg: 61.4252, aux.loss_ce: 0.2673, aux.acc_seg: 60.5137, loss: 0.8956 2022-06-18 11:16:23,088 - mmseg - INFO - Iter [28750/160000] lr: 5.053e-05, eta: 8:41:23, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5863, decode.acc_seg: 64.3497, aux.loss_ce: 0.2509, aux.acc_seg: 63.6753, loss: 0.8372 2022-06-18 11:16:34,751 - mmseg - INFO - Iter [28800/160000] lr: 5.051e-05, eta: 8:41:10, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6231, decode.acc_seg: 59.8814, aux.loss_ce: 0.2639, aux.acc_seg: 59.4989, loss: 0.8870 2022-06-18 11:16:46,367 - mmseg - INFO - Iter [28850/160000] lr: 5.049e-05, eta: 8:40:57, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5934, decode.acc_seg: 60.8067, aux.loss_ce: 0.2510, aux.acc_seg: 60.1387, loss: 0.8445 2022-06-18 11:16:58,113 - mmseg - INFO - Iter [28900/160000] lr: 5.047e-05, eta: 8:40:44, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5738, decode.acc_seg: 63.1519, aux.loss_ce: 0.2459, aux.acc_seg: 62.5808, loss: 0.8198 2022-06-18 11:17:09,546 - mmseg - INFO - Iter [28950/160000] lr: 5.046e-05, eta: 8:40:30, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6003, decode.acc_seg: 63.9552, aux.loss_ce: 0.2589, aux.acc_seg: 62.8509, loss: 0.8593 2022-06-18 11:17:21,173 - mmseg - INFO - Saving checkpoint at 29000 iterations 2022-06-18 11:17:21,850 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 11:17:21,850 - mmseg - INFO - Iter [29000/160000] lr: 5.044e-05, eta: 8:40:20, time: 0.246, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5974, decode.acc_seg: 62.9758, aux.loss_ce: 0.2519, aux.acc_seg: 62.4225, loss: 0.8493 2022-06-18 11:17:35,599 - mmseg - INFO - Iter [29050/160000] lr: 5.042e-05, eta: 8:40:16, time: 0.275, data_time: 0.049, memory: 36048, decode.loss_ce: 0.5961, decode.acc_seg: 63.4483, aux.loss_ce: 0.2543, aux.acc_seg: 62.5291, loss: 0.8504 2022-06-18 11:17:47,491 - mmseg - INFO - Iter [29100/160000] lr: 5.040e-05, eta: 8:40:04, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5682, decode.acc_seg: 64.3524, aux.loss_ce: 0.2445, aux.acc_seg: 63.6063, loss: 0.8127 2022-06-18 11:17:58,945 - mmseg - INFO - Iter [29150/160000] lr: 5.038e-05, eta: 8:39:50, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6008, decode.acc_seg: 62.2836, aux.loss_ce: 0.2564, aux.acc_seg: 61.4768, loss: 0.8572 2022-06-18 11:18:10,576 - mmseg - INFO - Iter [29200/160000] lr: 5.036e-05, eta: 8:39:37, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5647, decode.acc_seg: 63.9312, aux.loss_ce: 0.2395, aux.acc_seg: 63.0519, loss: 0.8043 2022-06-18 11:18:22,151 - mmseg - INFO - Iter [29250/160000] lr: 5.034e-05, eta: 8:39:23, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5801, decode.acc_seg: 64.2723, aux.loss_ce: 0.2474, aux.acc_seg: 63.3783, loss: 0.8275 2022-06-18 11:18:33,630 - mmseg - INFO - Iter [29300/160000] lr: 5.032e-05, eta: 8:39:09, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5863, decode.acc_seg: 63.6143, aux.loss_ce: 0.2491, aux.acc_seg: 62.9182, loss: 0.8355 2022-06-18 11:18:45,151 - mmseg - INFO - Iter [29350/160000] lr: 5.030e-05, eta: 8:38:56, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5549, decode.acc_seg: 63.6459, aux.loss_ce: 0.2394, aux.acc_seg: 62.7088, loss: 0.7943 2022-06-18 11:18:57,109 - mmseg - INFO - Iter [29400/160000] lr: 5.028e-05, eta: 8:38:44, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5597, decode.acc_seg: 63.3477, aux.loss_ce: 0.2394, aux.acc_seg: 62.6886, loss: 0.7990 2022-06-18 11:19:08,952 - mmseg - INFO - Iter [29450/160000] lr: 5.026e-05, eta: 8:38:32, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5638, decode.acc_seg: 64.8288, aux.loss_ce: 0.2424, aux.acc_seg: 64.1070, loss: 0.8062 2022-06-18 11:19:20,833 - mmseg - INFO - Iter [29500/160000] lr: 5.024e-05, eta: 8:38:20, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5794, decode.acc_seg: 65.1819, aux.loss_ce: 0.2495, aux.acc_seg: 64.1525, loss: 0.8289 2022-06-18 11:19:32,585 - mmseg - INFO - Iter [29550/160000] lr: 5.022e-05, eta: 8:38:07, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5819, decode.acc_seg: 63.6893, aux.loss_ce: 0.2494, aux.acc_seg: 62.9535, loss: 0.8312 2022-06-18 11:19:44,173 - mmseg - INFO - Iter [29600/160000] lr: 5.021e-05, eta: 8:37:54, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5500, decode.acc_seg: 64.9209, aux.loss_ce: 0.2375, aux.acc_seg: 64.0028, loss: 0.7874 2022-06-18 11:19:56,256 - mmseg - INFO - Iter [29650/160000] lr: 5.019e-05, eta: 8:37:43, time: 0.242, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5612, decode.acc_seg: 64.6434, aux.loss_ce: 0.2400, aux.acc_seg: 63.7870, loss: 0.8011 2022-06-18 11:20:07,954 - mmseg - INFO - Iter [29700/160000] lr: 5.017e-05, eta: 8:37:30, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5820, decode.acc_seg: 61.4150, aux.loss_ce: 0.2483, aux.acc_seg: 60.4790, loss: 0.8303 2022-06-18 11:20:19,727 - mmseg - INFO - Iter [29750/160000] lr: 5.015e-05, eta: 8:37:17, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5747, decode.acc_seg: 63.8017, aux.loss_ce: 0.2497, aux.acc_seg: 62.7974, loss: 0.8244 2022-06-18 11:20:31,421 - mmseg - INFO - Iter [29800/160000] lr: 5.013e-05, eta: 8:37:04, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5836, decode.acc_seg: 62.9812, aux.loss_ce: 0.2479, aux.acc_seg: 61.9985, loss: 0.8316 2022-06-18 11:20:42,997 - mmseg - INFO - Iter [29850/160000] lr: 5.011e-05, eta: 8:36:51, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5891, decode.acc_seg: 63.1768, aux.loss_ce: 0.2510, aux.acc_seg: 62.2034, loss: 0.8401 2022-06-18 11:20:54,675 - mmseg - INFO - Iter [29900/160000] lr: 5.009e-05, eta: 8:36:38, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5709, decode.acc_seg: 63.3229, aux.loss_ce: 0.2451, aux.acc_seg: 62.2357, loss: 0.8160 2022-06-18 11:21:06,285 - mmseg - INFO - Iter [29950/160000] lr: 5.007e-05, eta: 8:36:25, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5698, decode.acc_seg: 63.0696, aux.loss_ce: 0.2442, aux.acc_seg: 62.0838, loss: 0.8140 2022-06-18 11:21:17,858 - mmseg - INFO - Saving checkpoint at 30000 iterations 2022-06-18 11:21:18,547 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 11:21:18,547 - mmseg - INFO - Iter [30000/160000] lr: 5.005e-05, eta: 8:36:14, time: 0.245, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5814, decode.acc_seg: 64.1625, aux.loss_ce: 0.2470, aux.acc_seg: 63.3346, loss: 0.8284 2022-06-18 11:21:30,207 - mmseg - INFO - Iter [30050/160000] lr: 5.003e-05, eta: 8:36:01, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5750, decode.acc_seg: 62.7445, aux.loss_ce: 0.2451, aux.acc_seg: 62.0578, loss: 0.8200 2022-06-18 11:21:42,151 - mmseg - INFO - Iter [30100/160000] lr: 5.001e-05, eta: 8:35:49, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.6324, decode.acc_seg: 63.2117, aux.loss_ce: 0.2637, aux.acc_seg: 62.6851, loss: 0.8960 2022-06-18 11:21:53,752 - mmseg - INFO - Iter [30150/160000] lr: 4.999e-05, eta: 8:35:36, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.6052, decode.acc_seg: 63.5880, aux.loss_ce: 0.2599, aux.acc_seg: 62.7187, loss: 0.8651 2022-06-18 11:22:05,068 - mmseg - INFO - Iter [30200/160000] lr: 4.997e-05, eta: 8:35:22, time: 0.226, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5944, decode.acc_seg: 63.7911, aux.loss_ce: 0.2560, aux.acc_seg: 62.7155, loss: 0.8504 2022-06-18 11:22:16,727 - mmseg - INFO - Iter [30250/160000] lr: 4.995e-05, eta: 8:35:09, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5932, decode.acc_seg: 62.5418, aux.loss_ce: 0.2497, aux.acc_seg: 62.0468, loss: 0.8429 2022-06-18 11:22:28,147 - mmseg - INFO - Iter [30300/160000] lr: 4.994e-05, eta: 8:34:55, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5951, decode.acc_seg: 64.6578, aux.loss_ce: 0.2534, aux.acc_seg: 63.9768, loss: 0.8485 2022-06-18 11:22:41,952 - mmseg - INFO - Iter [30350/160000] lr: 4.992e-05, eta: 8:34:51, time: 0.276, data_time: 0.052, memory: 36048, decode.loss_ce: 0.5547, decode.acc_seg: 65.1235, aux.loss_ce: 0.2380, aux.acc_seg: 64.0998, loss: 0.7926 2022-06-18 11:22:53,682 - mmseg - INFO - Iter [30400/160000] lr: 4.990e-05, eta: 8:34:38, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5469, decode.acc_seg: 63.5007, aux.loss_ce: 0.2354, aux.acc_seg: 62.7859, loss: 0.7823 2022-06-18 11:23:05,566 - mmseg - INFO - Iter [30450/160000] lr: 4.988e-05, eta: 8:34:26, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5680, decode.acc_seg: 64.4366, aux.loss_ce: 0.2454, aux.acc_seg: 63.6903, loss: 0.8134 2022-06-18 11:23:17,082 - mmseg - INFO - Iter [30500/160000] lr: 4.986e-05, eta: 8:34:13, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5506, decode.acc_seg: 65.1343, aux.loss_ce: 0.2369, aux.acc_seg: 64.3161, loss: 0.7874 2022-06-18 11:23:28,776 - mmseg - INFO - Iter [30550/160000] lr: 4.984e-05, eta: 8:34:00, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5693, decode.acc_seg: 64.0335, aux.loss_ce: 0.2456, aux.acc_seg: 63.0954, loss: 0.8149 2022-06-18 11:23:40,305 - mmseg - INFO - Iter [30600/160000] lr: 4.982e-05, eta: 8:33:46, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5462, decode.acc_seg: 64.0895, aux.loss_ce: 0.2353, aux.acc_seg: 63.2272, loss: 0.7815 2022-06-18 11:23:52,099 - mmseg - INFO - Iter [30650/160000] lr: 4.980e-05, eta: 8:33:34, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5618, decode.acc_seg: 64.8188, aux.loss_ce: 0.2417, aux.acc_seg: 63.9392, loss: 0.8035 2022-06-18 11:24:03,689 - mmseg - INFO - Iter [30700/160000] lr: 4.978e-05, eta: 8:33:21, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5652, decode.acc_seg: 63.0730, aux.loss_ce: 0.2418, aux.acc_seg: 62.3783, loss: 0.8070 2022-06-18 11:24:15,576 - mmseg - INFO - Iter [30750/160000] lr: 4.976e-05, eta: 8:33:08, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5507, decode.acc_seg: 63.9519, aux.loss_ce: 0.2357, aux.acc_seg: 63.2958, loss: 0.7864 2022-06-18 11:24:27,548 - mmseg - INFO - Iter [30800/160000] lr: 4.974e-05, eta: 8:32:57, time: 0.240, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5621, decode.acc_seg: 65.7066, aux.loss_ce: 0.2398, aux.acc_seg: 64.9474, loss: 0.8019 2022-06-18 11:24:39,038 - mmseg - INFO - Iter [30850/160000] lr: 4.972e-05, eta: 8:32:43, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5643, decode.acc_seg: 62.8795, aux.loss_ce: 0.2410, aux.acc_seg: 61.8314, loss: 0.8054 2022-06-18 11:24:50,719 - mmseg - INFO - Iter [30900/160000] lr: 4.970e-05, eta: 8:32:30, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5603, decode.acc_seg: 62.7771, aux.loss_ce: 0.2403, aux.acc_seg: 62.1839, loss: 0.8005 2022-06-18 11:25:02,352 - mmseg - INFO - Iter [30950/160000] lr: 4.969e-05, eta: 8:32:17, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5609, decode.acc_seg: 63.8074, aux.loss_ce: 0.2429, aux.acc_seg: 63.0237, loss: 0.8038 2022-06-18 11:25:14,072 - mmseg - INFO - Saving checkpoint at 31000 iterations 2022-06-18 11:25:14,764 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 11:25:14,765 - mmseg - INFO - Iter [31000/160000] lr: 4.967e-05, eta: 8:32:07, time: 0.249, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5717, decode.acc_seg: 64.1424, aux.loss_ce: 0.2465, aux.acc_seg: 63.3587, loss: 0.8182 2022-06-18 11:25:26,262 - mmseg - INFO - Iter [31050/160000] lr: 4.965e-05, eta: 8:31:54, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5572, decode.acc_seg: 64.5068, aux.loss_ce: 0.2416, aux.acc_seg: 63.6271, loss: 0.7989 2022-06-18 11:25:37,943 - mmseg - INFO - Iter [31100/160000] lr: 4.963e-05, eta: 8:31:41, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5590, decode.acc_seg: 65.0523, aux.loss_ce: 0.2418, aux.acc_seg: 63.9628, loss: 0.8009 2022-06-18 11:25:49,780 - mmseg - INFO - Iter [31150/160000] lr: 4.961e-05, eta: 8:31:29, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5672, decode.acc_seg: 63.0821, aux.loss_ce: 0.2453, aux.acc_seg: 62.3553, loss: 0.8125 2022-06-18 11:26:01,370 - mmseg - INFO - Iter [31200/160000] lr: 4.959e-05, eta: 8:31:15, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5595, decode.acc_seg: 64.1200, aux.loss_ce: 0.2405, aux.acc_seg: 63.2162, loss: 0.8000 2022-06-18 11:26:13,126 - mmseg - INFO - Iter [31250/160000] lr: 4.957e-05, eta: 8:31:03, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5611, decode.acc_seg: 64.4571, aux.loss_ce: 0.2398, aux.acc_seg: 63.6065, loss: 0.8008 2022-06-18 11:26:25,029 - mmseg - INFO - Iter [31300/160000] lr: 4.955e-05, eta: 8:30:51, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5570, decode.acc_seg: 63.5949, aux.loss_ce: 0.2364, aux.acc_seg: 62.6715, loss: 0.7933 2022-06-18 11:26:36,885 - mmseg - INFO - Iter [31350/160000] lr: 4.953e-05, eta: 8:30:39, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5175, decode.acc_seg: 64.1447, aux.loss_ce: 0.2244, aux.acc_seg: 63.1587, loss: 0.7420 2022-06-18 11:26:48,417 - mmseg - INFO - Iter [31400/160000] lr: 4.951e-05, eta: 8:30:25, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5580, decode.acc_seg: 62.5888, aux.loss_ce: 0.2406, aux.acc_seg: 61.6143, loss: 0.7987 2022-06-18 11:27:00,186 - mmseg - INFO - Iter [31450/160000] lr: 4.949e-05, eta: 8:30:13, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5807, decode.acc_seg: 63.8138, aux.loss_ce: 0.2459, aux.acc_seg: 63.0160, loss: 0.8267 2022-06-18 11:27:11,893 - mmseg - INFO - Iter [31500/160000] lr: 4.947e-05, eta: 8:30:00, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5975, decode.acc_seg: 63.9052, aux.loss_ce: 0.2559, aux.acc_seg: 63.1504, loss: 0.8535 2022-06-18 11:27:23,934 - mmseg - INFO - Iter [31550/160000] lr: 4.945e-05, eta: 8:29:49, time: 0.241, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5667, decode.acc_seg: 62.1040, aux.loss_ce: 0.2391, aux.acc_seg: 61.4392, loss: 0.8058 2022-06-18 11:27:37,536 - mmseg - INFO - Iter [31600/160000] lr: 4.944e-05, eta: 8:29:44, time: 0.272, data_time: 0.049, memory: 36048, decode.loss_ce: 0.5460, decode.acc_seg: 64.8394, aux.loss_ce: 0.2334, aux.acc_seg: 64.2194, loss: 0.7794 2022-06-18 11:27:49,382 - mmseg - INFO - Iter [31650/160000] lr: 4.942e-05, eta: 8:29:32, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5585, decode.acc_seg: 63.6569, aux.loss_ce: 0.2396, aux.acc_seg: 62.9038, loss: 0.7980 2022-06-18 11:28:00,911 - mmseg - INFO - Iter [31700/160000] lr: 4.940e-05, eta: 8:29:18, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5691, decode.acc_seg: 64.3923, aux.loss_ce: 0.2428, aux.acc_seg: 63.6378, loss: 0.8119 2022-06-18 11:28:12,492 - mmseg - INFO - Iter [31750/160000] lr: 4.938e-05, eta: 8:29:05, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5537, decode.acc_seg: 63.0667, aux.loss_ce: 0.2384, aux.acc_seg: 62.0394, loss: 0.7921 2022-06-18 11:28:24,162 - mmseg - INFO - Iter [31800/160000] lr: 4.936e-05, eta: 8:28:52, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5785, decode.acc_seg: 63.6282, aux.loss_ce: 0.2462, aux.acc_seg: 62.9958, loss: 0.8247 2022-06-18 11:28:36,068 - mmseg - INFO - Iter [31850/160000] lr: 4.934e-05, eta: 8:28:40, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5901, decode.acc_seg: 63.2307, aux.loss_ce: 0.2500, aux.acc_seg: 62.6480, loss: 0.8402 2022-06-18 11:28:47,831 - mmseg - INFO - Iter [31900/160000] lr: 4.932e-05, eta: 8:28:28, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5476, decode.acc_seg: 64.6048, aux.loss_ce: 0.2381, aux.acc_seg: 63.7796, loss: 0.7858 2022-06-18 11:28:59,526 - mmseg - INFO - Iter [31950/160000] lr: 4.930e-05, eta: 8:28:15, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5445, decode.acc_seg: 66.1737, aux.loss_ce: 0.2368, aux.acc_seg: 65.0004, loss: 0.7814 2022-06-18 11:29:11,015 - mmseg - INFO - Saving checkpoint at 32000 iterations 2022-06-18 11:29:11,737 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 11:29:11,737 - mmseg - INFO - Iter [32000/160000] lr: 4.928e-05, eta: 8:28:04, time: 0.244, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5883, decode.acc_seg: 62.8389, aux.loss_ce: 0.2522, aux.acc_seg: 61.9807, loss: 0.8405 2022-06-18 11:29:30,053 - mmseg - INFO - per class results: 2022-06-18 11:29:30,059 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 70.13 | 82.49 | | building | 76.24 | 88.53 | | sky | 93.09 | 96.79 | | floor | 76.01 | 87.15 | | tree | 70.04 | 87.3 | | ceiling | 77.95 | 91.99 | | road | 77.73 | 90.32 | | bed | 77.2 | 90.65 | | windowpane | 54.04 | 70.49 | | grass | 64.84 | 75.66 | | cabinet | 50.35 | 62.13 | | sidewalk | 53.79 | 71.09 | | person | 72.34 | 89.32 | | earth | 33.01 | 45.51 | | door | 30.35 | 42.81 | | table | 44.96 | 66.41 | | mountain | 45.62 | 58.53 | | plant | 43.25 | 57.38 | | curtain | 66.46 | 79.58 | | chair | 40.93 | 53.59 | | car | 76.61 | 84.23 | | water | 40.35 | 50.95 | | painting | 62.37 | 81.03 | | sofa | 51.53 | 77.2 | | shelf | 34.28 | 51.94 | | house | 36.64 | 80.06 | | sea | 51.15 | 88.15 | | mirror | 51.71 | 64.14 | | rug | 54.07 | 62.37 | | field | 28.67 | 52.53 | | armchair | 16.87 | 21.07 | | seat | 47.7 | 60.77 | | fence | 22.65 | 29.59 | | desk | 29.65 | 38.13 | | rock | 42.88 | 73.47 | | wardrobe | 40.46 | 73.14 | | lamp | 43.16 | 57.13 | | bathtub | 47.12 | 84.24 | | railing | 27.17 | 40.38 | | cushion | 40.38 | 53.5 | | base | 15.63 | 30.3 | | box | 8.46 | 9.35 | | column | 33.86 | 46.98 | | signboard | 28.93 | 38.53 | | chest of drawers | 36.02 | 59.41 | | counter | 24.48 | 34.88 | | sand | 27.29 | 37.33 | | sink | 43.97 | 47.45 | | skyscraper | 53.81 | 60.3 | | fireplace | 53.2 | 71.71 | | refrigerator | 46.38 | 69.92 | | grandstand | 31.76 | 74.89 | | path | 16.32 | 23.53 | | stairs | 17.53 | 20.32 | | runway | 64.23 | 89.62 | | case | 41.48 | 68.0 | | pool table | 83.18 | 97.49 | | pillow | 33.03 | 38.87 | | screen door | 46.66 | 82.99 | | stairway | 16.52 | 30.78 | | river | 12.64 | 20.04 | | bridge | 47.91 | 62.89 | | bookcase | 30.51 | 48.39 | | blind | 30.03 | 34.1 | | coffee table | 46.08 | 70.83 | | toilet | 69.31 | 82.84 | | flower | 32.36 | 46.07 | | book | 43.0 | 60.97 | | hill | 6.48 | 8.03 | | bench | 31.05 | 45.97 | | countertop | 41.37 | 53.09 | | stove | 54.7 | 73.4 | | palm | 40.12 | 55.54 | | kitchen island | 23.01 | 50.51 | | computer | 48.18 | 61.93 | | swivel chair | 29.72 | 45.21 | | boat | 32.62 | 38.96 | | bar | 30.6 | 35.42 | | arcade machine | 19.48 | 24.34 | | hovel | 12.4 | 13.35 | | bus | 65.55 | 83.57 | | towel | 39.33 | 48.12 | | light | 35.48 | 40.21 | | truck | 15.13 | 25.55 | | tower | 26.88 | 31.77 | | chandelier | 50.53 | 67.93 | | awning | 20.32 | 28.36 | | streetlight | 7.12 | 8.32 | | booth | 27.29 | 33.96 | | television receiver | 52.89 | 58.59 | | airplane | 46.68 | 62.48 | | dirt track | 0.02 | 0.03 | | apparel | 31.82 | 49.63 | | pole | 5.82 | 6.49 | | land | 0.01 | 0.01 | | bannister | 0.92 | 1.19 | | escalator | 43.76 | 69.04 | | ottoman | 12.76 | 14.49 | | bottle | 5.44 | 5.91 | | buffet | 22.98 | 28.47 | | poster | 18.65 | 21.46 | | stage | 7.92 | 21.18 | | van | 27.11 | 31.75 | | ship | 1.06 | 1.25 | | fountain | 0.48 | 0.48 | | conveyer belt | 61.97 | 77.93 | | canopy | 22.1 | 31.94 | | washer | 55.01 | 67.57 | | plaything | 6.48 | 19.77 | | swimming pool | 29.45 | 46.11 | | stool | 9.78 | 11.27 | | barrel | 18.11 | 35.16 | | basket | 10.69 | 14.3 | | waterfall | 62.08 | 78.8 | | tent | 95.11 | 98.12 | | bag | 0.64 | 0.66 | | minibike | 50.01 | 60.12 | | cradle | 59.43 | 79.86 | | oven | 10.5 | 11.08 | | ball | 36.03 | 40.53 | | food | 45.78 | 61.22 | | step | 1.44 | 1.54 | | tank | 32.2 | 37.58 | | trade name | 23.81 | 29.46 | | microwave | 29.57 | 34.65 | | pot | 21.1 | 23.25 | | animal | 52.27 | 55.52 | | bicycle | 33.87 | 52.98 | | lake | 26.33 | 37.7 | | dishwasher | 32.99 | 46.97 | | screen | 49.66 | 81.96 | | blanket | 0.55 | 0.58 | | sculpture | 32.93 | 37.78 | | hood | 35.41 | 42.52 | | sconce | 14.54 | 15.41 | | vase | 18.22 | 21.12 | | traffic light | 12.07 | 18.47 | | tray | 0.14 | 0.15 | | ashcan | 16.8 | 22.01 | | fan | 37.28 | 53.0 | | pier | 31.02 | 37.84 | | crt screen | 7.2 | 21.72 | | plate | 29.17 | 34.27 | | monitor | 12.42 | 15.37 | | bulletin board | 25.7 | 29.79 | | shower | 0.0 | 0.0 | | radiator | 43.11 | 47.69 | | glass | 0.86 | 0.94 | | clock | 9.23 | 9.96 | | flag | 22.98 | 23.6 | +---------------------+-------+-------+ 2022-06-18 11:29:30,060 - mmseg - INFO - Summary: 2022-06-18 11:29:30,060 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 77.12 | 35.07 | 46.56 | +-------+-------+-------+ 2022-06-18 11:29:30,097 - mmseg - INFO - The previous best checkpoint /home/chenzhe/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_deit_adapter_tiny_512_160_ade20k_try2/best_mIoU_iter_16000.pth was removed 2022-06-18 11:29:30,723 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. 2022-06-18 11:29:30,723 - mmseg - INFO - Best mIoU is 0.3507 at 32000 iter. 2022-06-18 11:29:30,731 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 11:29:30,732 - mmseg - INFO - Iter(val) [250] aAcc: 0.7712, mIoU: 0.3507, mAcc: 0.4656, IoU.wall: 0.7013, IoU.building: 0.7624, IoU.sky: 0.9309, IoU.floor: 0.7601, IoU.tree: 0.7004, IoU.ceiling: 0.7795, IoU.road: 0.7773, IoU.bed : 0.7720, IoU.windowpane: 0.5404, IoU.grass: 0.6484, IoU.cabinet: 0.5035, IoU.sidewalk: 0.5379, IoU.person: 0.7234, IoU.earth: 0.3301, IoU.door: 0.3035, IoU.table: 0.4496, IoU.mountain: 0.4562, IoU.plant: 0.4325, IoU.curtain: 0.6646, IoU.chair: 0.4093, IoU.car: 0.7661, IoU.water: 0.4035, IoU.painting: 0.6237, IoU.sofa: 0.5153, IoU.shelf: 0.3428, IoU.house: 0.3664, IoU.sea: 0.5115, IoU.mirror: 0.5171, IoU.rug: 0.5407, IoU.field: 0.2867, IoU.armchair: 0.1687, IoU.seat: 0.4770, IoU.fence: 0.2265, IoU.desk: 0.2965, IoU.rock: 0.4288, IoU.wardrobe: 0.4046, IoU.lamp: 0.4316, IoU.bathtub: 0.4712, IoU.railing: 0.2717, IoU.cushion: 0.4038, IoU.base: 0.1563, IoU.box: 0.0846, IoU.column: 0.3386, IoU.signboard: 0.2893, IoU.chest of drawers: 0.3602, IoU.counter: 0.2448, IoU.sand: 0.2729, IoU.sink: 0.4397, IoU.skyscraper: 0.5381, IoU.fireplace: 0.5320, IoU.refrigerator: 0.4638, IoU.grandstand: 0.3176, IoU.path: 0.1632, IoU.stairs: 0.1753, IoU.runway: 0.6423, IoU.case: 0.4148, IoU.pool table: 0.8318, IoU.pillow: 0.3303, IoU.screen door: 0.4666, IoU.stairway: 0.1652, IoU.river: 0.1264, IoU.bridge: 0.4791, IoU.bookcase: 0.3051, IoU.blind: 0.3003, IoU.coffee table: 0.4608, IoU.toilet: 0.6931, IoU.flower: 0.3236, IoU.book: 0.4300, IoU.hill: 0.0648, IoU.bench: 0.3105, IoU.countertop: 0.4137, IoU.stove: 0.5470, IoU.palm: 0.4012, IoU.kitchen island: 0.2301, IoU.computer: 0.4818, IoU.swivel chair: 0.2972, IoU.boat: 0.3262, IoU.bar: 0.3060, IoU.arcade machine: 0.1948, IoU.hovel: 0.1240, IoU.bus: 0.6555, IoU.towel: 0.3933, IoU.light: 0.3548, IoU.truck: 0.1513, IoU.tower: 0.2688, IoU.chandelier: 0.5053, IoU.awning: 0.2032, IoU.streetlight: 0.0712, IoU.booth: 0.2729, IoU.television receiver: 0.5289, IoU.airplane: 0.4668, IoU.dirt track: 0.0002, IoU.apparel: 0.3182, IoU.pole: 0.0582, IoU.land: 0.0001, IoU.bannister: 0.0092, IoU.escalator: 0.4376, IoU.ottoman: 0.1276, IoU.bottle: 0.0544, IoU.buffet: 0.2298, IoU.poster: 0.1865, IoU.stage: 0.0792, IoU.van: 0.2711, IoU.ship: 0.0106, IoU.fountain: 0.0048, IoU.conveyer belt: 0.6197, IoU.canopy: 0.2210, IoU.washer: 0.5501, IoU.plaything: 0.0648, IoU.swimming pool: 0.2945, IoU.stool: 0.0978, IoU.barrel: 0.1811, IoU.basket: 0.1069, IoU.waterfall: 0.6208, IoU.tent: 0.9511, IoU.bag: 0.0064, IoU.minibike: 0.5001, IoU.cradle: 0.5943, IoU.oven: 0.1050, IoU.ball: 0.3603, IoU.food: 0.4578, IoU.step: 0.0144, IoU.tank: 0.3220, IoU.trade name: 0.2381, IoU.microwave: 0.2957, IoU.pot: 0.2110, IoU.animal: 0.5227, IoU.bicycle: 0.3387, IoU.lake: 0.2633, IoU.dishwasher: 0.3299, IoU.screen: 0.4966, IoU.blanket: 0.0055, IoU.sculpture: 0.3293, IoU.hood: 0.3541, IoU.sconce: 0.1454, IoU.vase: 0.1822, IoU.traffic light: 0.1207, IoU.tray: 0.0014, IoU.ashcan: 0.1680, IoU.fan: 0.3728, IoU.pier: 0.3102, IoU.crt screen: 0.0720, IoU.plate: 0.2917, IoU.monitor: 0.1242, IoU.bulletin board: 0.2570, IoU.shower: 0.0000, IoU.radiator: 0.4311, IoU.glass: 0.0086, IoU.clock: 0.0923, IoU.flag: 0.2298, Acc.wall: 0.8249, Acc.building: 0.8853, Acc.sky: 0.9679, Acc.floor: 0.8715, Acc.tree: 0.8730, Acc.ceiling: 0.9199, Acc.road: 0.9032, Acc.bed : 0.9065, Acc.windowpane: 0.7049, Acc.grass: 0.7566, Acc.cabinet: 0.6213, Acc.sidewalk: 0.7109, Acc.person: 0.8932, Acc.earth: 0.4551, Acc.door: 0.4281, Acc.table: 0.6641, Acc.mountain: 0.5853, Acc.plant: 0.5738, Acc.curtain: 0.7958, Acc.chair: 0.5359, Acc.car: 0.8423, Acc.water: 0.5095, Acc.painting: 0.8103, Acc.sofa: 0.7720, Acc.shelf: 0.5194, Acc.house: 0.8006, Acc.sea: 0.8815, Acc.mirror: 0.6414, Acc.rug: 0.6237, Acc.field: 0.5253, Acc.armchair: 0.2107, Acc.seat: 0.6077, Acc.fence: 0.2959, Acc.desk: 0.3813, Acc.rock: 0.7347, Acc.wardrobe: 0.7314, Acc.lamp: 0.5713, Acc.bathtub: 0.8424, Acc.railing: 0.4038, Acc.cushion: 0.5350, Acc.base: 0.3030, Acc.box: 0.0935, Acc.column: 0.4698, Acc.signboard: 0.3853, Acc.chest of drawers: 0.5941, Acc.counter: 0.3488, Acc.sand: 0.3733, Acc.sink: 0.4745, Acc.skyscraper: 0.6030, Acc.fireplace: 0.7171, Acc.refrigerator: 0.6992, Acc.grandstand: 0.7489, Acc.path: 0.2353, Acc.stairs: 0.2032, Acc.runway: 0.8962, Acc.case: 0.6800, Acc.pool table: 0.9749, Acc.pillow: 0.3887, Acc.screen door: 0.8299, Acc.stairway: 0.3078, Acc.river: 0.2004, Acc.bridge: 0.6289, Acc.bookcase: 0.4839, Acc.blind: 0.3410, Acc.coffee table: 0.7083, Acc.toilet: 0.8284, Acc.flower: 0.4607, Acc.book: 0.6097, Acc.hill: 0.0803, Acc.bench: 0.4597, Acc.countertop: 0.5309, Acc.stove: 0.7340, Acc.palm: 0.5554, Acc.kitchen island: 0.5051, Acc.computer: 0.6193, Acc.swivel chair: 0.4521, Acc.boat: 0.3896, Acc.bar: 0.3542, Acc.arcade machine: 0.2434, Acc.hovel: 0.1335, Acc.bus: 0.8357, Acc.towel: 0.4812, Acc.light: 0.4021, Acc.truck: 0.2555, Acc.tower: 0.3177, Acc.chandelier: 0.6793, Acc.awning: 0.2836, Acc.streetlight: 0.0832, Acc.booth: 0.3396, Acc.television receiver: 0.5859, Acc.airplane: 0.6248, Acc.dirt track: 0.0003, Acc.apparel: 0.4963, Acc.pole: 0.0649, Acc.land: 0.0001, Acc.bannister: 0.0119, Acc.escalator: 0.6904, Acc.ottoman: 0.1449, Acc.bottle: 0.0591, Acc.buffet: 0.2847, Acc.poster: 0.2146, Acc.stage: 0.2118, Acc.van: 0.3175, Acc.ship: 0.0125, Acc.fountain: 0.0048, Acc.conveyer belt: 0.7793, Acc.canopy: 0.3194, Acc.washer: 0.6757, Acc.plaything: 0.1977, Acc.swimming pool: 0.4611, Acc.stool: 0.1127, Acc.barrel: 0.3516, Acc.basket: 0.1430, Acc.waterfall: 0.7880, Acc.tent: 0.9812, Acc.bag: 0.0066, Acc.minibike: 0.6012, Acc.cradle: 0.7986, Acc.oven: 0.1108, Acc.ball: 0.4053, Acc.food: 0.6122, Acc.step: 0.0154, Acc.tank: 0.3758, Acc.trade name: 0.2946, Acc.microwave: 0.3465, Acc.pot: 0.2325, Acc.animal: 0.5552, Acc.bicycle: 0.5298, Acc.lake: 0.3770, Acc.dishwasher: 0.4697, Acc.screen: 0.8196, Acc.blanket: 0.0058, Acc.sculpture: 0.3778, Acc.hood: 0.4252, Acc.sconce: 0.1541, Acc.vase: 0.2112, Acc.traffic light: 0.1847, Acc.tray: 0.0015, Acc.ashcan: 0.2201, Acc.fan: 0.5300, Acc.pier: 0.3784, Acc.crt screen: 0.2172, Acc.plate: 0.3427, Acc.monitor: 0.1537, Acc.bulletin board: 0.2979, Acc.shower: 0.0000, Acc.radiator: 0.4769, Acc.glass: 0.0094, Acc.clock: 0.0996, Acc.flag: 0.2360 2022-06-18 11:29:42,333 - mmseg - INFO - Iter [32050/160000] lr: 4.926e-05, eta: 8:29:07, time: 0.612, data_time: 0.383, memory: 36048, decode.loss_ce: 0.5546, decode.acc_seg: 65.0036, aux.loss_ce: 0.2359, aux.acc_seg: 64.3372, loss: 0.7906 2022-06-18 11:29:53,802 - mmseg - INFO - Iter [32100/160000] lr: 4.924e-05, eta: 8:28:53, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5368, decode.acc_seg: 64.8781, aux.loss_ce: 0.2326, aux.acc_seg: 63.8433, loss: 0.7694 2022-06-18 11:30:05,660 - mmseg - INFO - Iter [32150/160000] lr: 4.922e-05, eta: 8:28:41, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5462, decode.acc_seg: 64.1181, aux.loss_ce: 0.2334, aux.acc_seg: 63.2625, loss: 0.7796 2022-06-18 11:30:17,478 - mmseg - INFO - Iter [32200/160000] lr: 4.920e-05, eta: 8:28:29, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5936, decode.acc_seg: 63.8972, aux.loss_ce: 0.2539, aux.acc_seg: 62.9484, loss: 0.8475 2022-06-18 11:30:29,115 - mmseg - INFO - Iter [32250/160000] lr: 4.918e-05, eta: 8:28:15, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5695, decode.acc_seg: 63.9385, aux.loss_ce: 0.2450, aux.acc_seg: 62.9748, loss: 0.8146 2022-06-18 11:30:40,574 - mmseg - INFO - Iter [32300/160000] lr: 4.917e-05, eta: 8:28:02, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5277, decode.acc_seg: 65.0007, aux.loss_ce: 0.2281, aux.acc_seg: 63.8290, loss: 0.7558 2022-06-18 11:30:51,999 - mmseg - INFO - Iter [32350/160000] lr: 4.915e-05, eta: 8:27:48, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5619, decode.acc_seg: 62.6943, aux.loss_ce: 0.2398, aux.acc_seg: 62.1899, loss: 0.8018 2022-06-18 11:31:03,783 - mmseg - INFO - Iter [32400/160000] lr: 4.913e-05, eta: 8:27:35, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5469, decode.acc_seg: 63.7575, aux.loss_ce: 0.2342, aux.acc_seg: 63.1624, loss: 0.7812 2022-06-18 11:31:15,742 - mmseg - INFO - Iter [32450/160000] lr: 4.911e-05, eta: 8:27:23, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5487, decode.acc_seg: 65.5854, aux.loss_ce: 0.2358, aux.acc_seg: 64.7996, loss: 0.7846 2022-06-18 11:31:27,588 - mmseg - INFO - Iter [32500/160000] lr: 4.909e-05, eta: 8:27:11, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5659, decode.acc_seg: 63.6591, aux.loss_ce: 0.2397, aux.acc_seg: 63.1847, loss: 0.8056 2022-06-18 11:31:39,279 - mmseg - INFO - Iter [32550/160000] lr: 4.907e-05, eta: 8:26:58, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5641, decode.acc_seg: 65.0224, aux.loss_ce: 0.2410, aux.acc_seg: 64.3781, loss: 0.8051 2022-06-18 11:31:50,821 - mmseg - INFO - Iter [32600/160000] lr: 4.905e-05, eta: 8:26:45, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5550, decode.acc_seg: 63.9236, aux.loss_ce: 0.2356, aux.acc_seg: 63.2968, loss: 0.7906 2022-06-18 11:32:02,606 - mmseg - INFO - Iter [32650/160000] lr: 4.903e-05, eta: 8:26:32, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5802, decode.acc_seg: 63.0434, aux.loss_ce: 0.2486, aux.acc_seg: 62.4187, loss: 0.8289 2022-06-18 11:32:14,344 - mmseg - INFO - Iter [32700/160000] lr: 4.901e-05, eta: 8:26:19, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5681, decode.acc_seg: 63.4066, aux.loss_ce: 0.2443, aux.acc_seg: 62.6108, loss: 0.8124 2022-06-18 11:32:25,879 - mmseg - INFO - Iter [32750/160000] lr: 4.899e-05, eta: 8:26:06, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5851, decode.acc_seg: 62.0598, aux.loss_ce: 0.2486, aux.acc_seg: 61.6002, loss: 0.8337 2022-06-18 11:32:37,419 - mmseg - INFO - Iter [32800/160000] lr: 4.897e-05, eta: 8:25:53, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5327, decode.acc_seg: 63.8313, aux.loss_ce: 0.2276, aux.acc_seg: 63.0326, loss: 0.7603 2022-06-18 11:32:50,952 - mmseg - INFO - Iter [32850/160000] lr: 4.895e-05, eta: 8:25:47, time: 0.270, data_time: 0.048, memory: 36048, decode.loss_ce: 0.5609, decode.acc_seg: 64.3213, aux.loss_ce: 0.2418, aux.acc_seg: 63.4665, loss: 0.8027 2022-06-18 11:33:02,498 - mmseg - INFO - Iter [32900/160000] lr: 4.893e-05, eta: 8:25:33, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5236, decode.acc_seg: 65.5888, aux.loss_ce: 0.2275, aux.acc_seg: 64.6742, loss: 0.7511 2022-06-18 11:33:14,143 - mmseg - INFO - Iter [32950/160000] lr: 4.892e-05, eta: 8:25:20, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5293, decode.acc_seg: 64.6311, aux.loss_ce: 0.2282, aux.acc_seg: 63.6431, loss: 0.7575 2022-06-18 11:33:25,705 - mmseg - INFO - Saving checkpoint at 33000 iterations 2022-06-18 11:33:26,384 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 11:33:26,385 - mmseg - INFO - Iter [33000/160000] lr: 4.890e-05, eta: 8:25:10, time: 0.245, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5261, decode.acc_seg: 65.3570, aux.loss_ce: 0.2283, aux.acc_seg: 64.4913, loss: 0.7545 2022-06-18 11:33:38,036 - mmseg - INFO - Iter [33050/160000] lr: 4.888e-05, eta: 8:24:57, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5064, decode.acc_seg: 65.0065, aux.loss_ce: 0.2191, aux.acc_seg: 64.1655, loss: 0.7255 2022-06-18 11:33:49,814 - mmseg - INFO - Iter [33100/160000] lr: 4.886e-05, eta: 8:24:44, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5415, decode.acc_seg: 63.7782, aux.loss_ce: 0.2350, aux.acc_seg: 63.0375, loss: 0.7766 2022-06-18 11:34:01,444 - mmseg - INFO - Iter [33150/160000] lr: 4.884e-05, eta: 8:24:31, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5667, decode.acc_seg: 64.9870, aux.loss_ce: 0.2425, aux.acc_seg: 64.1335, loss: 0.8092 2022-06-18 11:34:13,255 - mmseg - INFO - Iter [33200/160000] lr: 4.882e-05, eta: 8:24:19, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5337, decode.acc_seg: 64.1419, aux.loss_ce: 0.2293, aux.acc_seg: 63.2532, loss: 0.7630 2022-06-18 11:34:24,857 - mmseg - INFO - Iter [33250/160000] lr: 4.880e-05, eta: 8:24:05, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5258, decode.acc_seg: 65.2735, aux.loss_ce: 0.2264, aux.acc_seg: 64.3902, loss: 0.7522 2022-06-18 11:34:36,523 - mmseg - INFO - Iter [33300/160000] lr: 4.878e-05, eta: 8:23:52, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5256, decode.acc_seg: 64.5093, aux.loss_ce: 0.2270, aux.acc_seg: 63.5943, loss: 0.7526 2022-06-18 11:34:48,174 - mmseg - INFO - Iter [33350/160000] lr: 4.876e-05, eta: 8:23:39, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5563, decode.acc_seg: 64.5673, aux.loss_ce: 0.2370, aux.acc_seg: 63.8684, loss: 0.7934 2022-06-18 11:34:59,897 - mmseg - INFO - Iter [33400/160000] lr: 4.874e-05, eta: 8:23:27, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5784, decode.acc_seg: 63.0821, aux.loss_ce: 0.2494, aux.acc_seg: 62.0888, loss: 0.8278 2022-06-18 11:35:11,573 - mmseg - INFO - Iter [33450/160000] lr: 4.872e-05, eta: 8:23:14, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5505, decode.acc_seg: 64.0336, aux.loss_ce: 0.2397, aux.acc_seg: 63.1235, loss: 0.7902 2022-06-18 11:35:23,143 - mmseg - INFO - Iter [33500/160000] lr: 4.870e-05, eta: 8:23:01, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5666, decode.acc_seg: 63.7259, aux.loss_ce: 0.2454, aux.acc_seg: 62.7735, loss: 0.8119 2022-06-18 11:35:34,788 - mmseg - INFO - Iter [33550/160000] lr: 4.868e-05, eta: 8:22:48, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5200, decode.acc_seg: 64.8226, aux.loss_ce: 0.2237, aux.acc_seg: 63.9180, loss: 0.7437 2022-06-18 11:35:46,533 - mmseg - INFO - Iter [33600/160000] lr: 4.867e-05, eta: 8:22:35, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5556, decode.acc_seg: 63.1910, aux.loss_ce: 0.2389, aux.acc_seg: 62.2402, loss: 0.7945 2022-06-18 11:35:58,031 - mmseg - INFO - Iter [33650/160000] lr: 4.865e-05, eta: 8:22:21, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5671, decode.acc_seg: 64.6579, aux.loss_ce: 0.2418, aux.acc_seg: 63.7875, loss: 0.8089 2022-06-18 11:36:09,616 - mmseg - INFO - Iter [33700/160000] lr: 4.863e-05, eta: 8:22:08, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5582, decode.acc_seg: 63.8314, aux.loss_ce: 0.2408, aux.acc_seg: 63.0641, loss: 0.7990 2022-06-18 11:36:21,260 - mmseg - INFO - Iter [33750/160000] lr: 4.861e-05, eta: 8:21:55, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5577, decode.acc_seg: 62.6814, aux.loss_ce: 0.2404, aux.acc_seg: 61.8560, loss: 0.7981 2022-06-18 11:36:32,726 - mmseg - INFO - Iter [33800/160000] lr: 4.859e-05, eta: 8:21:41, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5256, decode.acc_seg: 64.3945, aux.loss_ce: 0.2266, aux.acc_seg: 63.5738, loss: 0.7523 2022-06-18 11:36:44,235 - mmseg - INFO - Iter [33850/160000] lr: 4.857e-05, eta: 8:21:28, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5685, decode.acc_seg: 64.2445, aux.loss_ce: 0.2420, aux.acc_seg: 63.3444, loss: 0.8105 2022-06-18 11:36:55,778 - mmseg - INFO - Iter [33900/160000] lr: 4.855e-05, eta: 8:21:15, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5587, decode.acc_seg: 62.6628, aux.loss_ce: 0.2400, aux.acc_seg: 61.9520, loss: 0.7987 2022-06-18 11:37:07,654 - mmseg - INFO - Iter [33950/160000] lr: 4.853e-05, eta: 8:21:03, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5513, decode.acc_seg: 64.6786, aux.loss_ce: 0.2360, aux.acc_seg: 63.8172, loss: 0.7872 2022-06-18 11:37:19,450 - mmseg - INFO - Saving checkpoint at 34000 iterations 2022-06-18 11:37:20,150 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 11:37:20,151 - mmseg - INFO - Iter [34000/160000] lr: 4.851e-05, eta: 8:20:53, time: 0.250, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5868, decode.acc_seg: 63.1684, aux.loss_ce: 0.2509, aux.acc_seg: 62.3149, loss: 0.8378 2022-06-18 11:37:32,032 - mmseg - INFO - Iter [34050/160000] lr: 4.849e-05, eta: 8:20:41, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5821, decode.acc_seg: 63.4385, aux.loss_ce: 0.2517, aux.acc_seg: 62.6056, loss: 0.8337 2022-06-18 11:37:43,712 - mmseg - INFO - Iter [34100/160000] lr: 4.847e-05, eta: 8:20:28, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5171, decode.acc_seg: 63.5229, aux.loss_ce: 0.2212, aux.acc_seg: 62.7165, loss: 0.7383 2022-06-18 11:37:57,991 - mmseg - INFO - Iter [34150/160000] lr: 4.845e-05, eta: 8:20:24, time: 0.285, data_time: 0.049, memory: 36048, decode.loss_ce: 0.5451, decode.acc_seg: 64.4045, aux.loss_ce: 0.2338, aux.acc_seg: 63.6156, loss: 0.7789 2022-06-18 11:38:09,486 - mmseg - INFO - Iter [34200/160000] lr: 4.843e-05, eta: 8:20:11, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5062, decode.acc_seg: 65.1621, aux.loss_ce: 0.2212, aux.acc_seg: 64.4398, loss: 0.7274 2022-06-18 11:38:21,446 - mmseg - INFO - Iter [34250/160000] lr: 4.841e-05, eta: 8:19:59, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5397, decode.acc_seg: 63.8756, aux.loss_ce: 0.2334, aux.acc_seg: 62.8512, loss: 0.7731 2022-06-18 11:38:33,328 - mmseg - INFO - Iter [34300/160000] lr: 4.840e-05, eta: 8:19:47, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5472, decode.acc_seg: 65.6429, aux.loss_ce: 0.2370, aux.acc_seg: 64.7358, loss: 0.7841 2022-06-18 11:38:45,229 - mmseg - INFO - Iter [34350/160000] lr: 4.838e-05, eta: 8:19:35, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5099, decode.acc_seg: 64.7765, aux.loss_ce: 0.2181, aux.acc_seg: 64.0429, loss: 0.7279 2022-06-18 11:38:56,886 - mmseg - INFO - Iter [34400/160000] lr: 4.836e-05, eta: 8:19:22, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5351, decode.acc_seg: 64.3921, aux.loss_ce: 0.2323, aux.acc_seg: 63.3613, loss: 0.7674 2022-06-18 11:39:08,831 - mmseg - INFO - Iter [34450/160000] lr: 4.834e-05, eta: 8:19:10, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5265, decode.acc_seg: 63.3051, aux.loss_ce: 0.2265, aux.acc_seg: 62.4733, loss: 0.7530 2022-06-18 11:39:20,672 - mmseg - INFO - Iter [34500/160000] lr: 4.832e-05, eta: 8:18:58, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5430, decode.acc_seg: 63.4529, aux.loss_ce: 0.2331, aux.acc_seg: 62.5076, loss: 0.7762 2022-06-18 11:39:32,465 - mmseg - INFO - Iter [34550/160000] lr: 4.830e-05, eta: 8:18:46, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5153, decode.acc_seg: 64.7915, aux.loss_ce: 0.2201, aux.acc_seg: 64.0481, loss: 0.7354 2022-06-18 11:39:44,184 - mmseg - INFO - Iter [34600/160000] lr: 4.828e-05, eta: 8:18:33, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5537, decode.acc_seg: 63.2330, aux.loss_ce: 0.2374, aux.acc_seg: 62.2670, loss: 0.7911 2022-06-18 11:39:55,662 - mmseg - INFO - Iter [34650/160000] lr: 4.826e-05, eta: 8:18:19, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5632, decode.acc_seg: 64.6013, aux.loss_ce: 0.2435, aux.acc_seg: 63.9238, loss: 0.8067 2022-06-18 11:40:07,383 - mmseg - INFO - Iter [34700/160000] lr: 4.824e-05, eta: 8:18:07, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5196, decode.acc_seg: 64.3037, aux.loss_ce: 0.2241, aux.acc_seg: 63.4830, loss: 0.7437 2022-06-18 11:40:19,331 - mmseg - INFO - Iter [34750/160000] lr: 4.822e-05, eta: 8:17:55, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5747, decode.acc_seg: 63.2777, aux.loss_ce: 0.2473, aux.acc_seg: 62.6270, loss: 0.8219 2022-06-18 11:40:30,988 - mmseg - INFO - Iter [34800/160000] lr: 4.820e-05, eta: 8:17:42, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5229, decode.acc_seg: 64.3078, aux.loss_ce: 0.2247, aux.acc_seg: 63.4288, loss: 0.7476 2022-06-18 11:40:42,822 - mmseg - INFO - Iter [34850/160000] lr: 4.818e-05, eta: 8:17:30, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5147, decode.acc_seg: 64.7088, aux.loss_ce: 0.2222, aux.acc_seg: 64.1261, loss: 0.7369 2022-06-18 11:40:54,498 - mmseg - INFO - Iter [34900/160000] lr: 4.816e-05, eta: 8:17:17, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5710, decode.acc_seg: 63.7592, aux.loss_ce: 0.2492, aux.acc_seg: 62.4452, loss: 0.8202 2022-06-18 11:41:06,262 - mmseg - INFO - Iter [34950/160000] lr: 4.815e-05, eta: 8:17:04, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5310, decode.acc_seg: 64.8759, aux.loss_ce: 0.2292, aux.acc_seg: 63.9829, loss: 0.7602 2022-06-18 11:41:18,037 - mmseg - INFO - Saving checkpoint at 35000 iterations 2022-06-18 11:41:18,716 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 11:41:18,716 - mmseg - INFO - Iter [35000/160000] lr: 4.813e-05, eta: 8:16:54, time: 0.249, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5559, decode.acc_seg: 64.2971, aux.loss_ce: 0.2373, aux.acc_seg: 63.7486, loss: 0.7932 2022-06-18 11:41:30,315 - mmseg - INFO - Iter [35050/160000] lr: 4.811e-05, eta: 8:16:41, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5407, decode.acc_seg: 64.5041, aux.loss_ce: 0.2316, aux.acc_seg: 63.9180, loss: 0.7722 2022-06-18 11:41:42,040 - mmseg - INFO - Iter [35100/160000] lr: 4.809e-05, eta: 8:16:29, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5219, decode.acc_seg: 65.8342, aux.loss_ce: 0.2259, aux.acc_seg: 64.9482, loss: 0.7479 2022-06-18 11:41:53,717 - mmseg - INFO - Iter [35150/160000] lr: 4.807e-05, eta: 8:16:16, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5311, decode.acc_seg: 64.1608, aux.loss_ce: 0.2283, aux.acc_seg: 63.5101, loss: 0.7594 2022-06-18 11:42:05,423 - mmseg - INFO - Iter [35200/160000] lr: 4.805e-05, eta: 8:16:03, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5417, decode.acc_seg: 63.5967, aux.loss_ce: 0.2357, aux.acc_seg: 62.6544, loss: 0.7774 2022-06-18 11:42:17,384 - mmseg - INFO - Iter [35250/160000] lr: 4.803e-05, eta: 8:15:51, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5480, decode.acc_seg: 64.4737, aux.loss_ce: 0.2336, aux.acc_seg: 63.6188, loss: 0.7816 2022-06-18 11:42:29,203 - mmseg - INFO - Iter [35300/160000] lr: 4.801e-05, eta: 8:15:39, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5261, decode.acc_seg: 63.8580, aux.loss_ce: 0.2257, aux.acc_seg: 63.1231, loss: 0.7518 2022-06-18 11:42:40,895 - mmseg - INFO - Iter [35350/160000] lr: 4.799e-05, eta: 8:15:26, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5327, decode.acc_seg: 63.6888, aux.loss_ce: 0.2296, aux.acc_seg: 62.6961, loss: 0.7623 2022-06-18 11:42:54,586 - mmseg - INFO - Iter [35400/160000] lr: 4.797e-05, eta: 8:15:21, time: 0.274, data_time: 0.049, memory: 36048, decode.loss_ce: 0.5203, decode.acc_seg: 65.0661, aux.loss_ce: 0.2279, aux.acc_seg: 64.0569, loss: 0.7482 2022-06-18 11:43:06,421 - mmseg - INFO - Iter [35450/160000] lr: 4.795e-05, eta: 8:15:08, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5168, decode.acc_seg: 64.5244, aux.loss_ce: 0.2240, aux.acc_seg: 63.5743, loss: 0.7407 2022-06-18 11:43:18,139 - mmseg - INFO - Iter [35500/160000] lr: 4.793e-05, eta: 8:14:56, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4966, decode.acc_seg: 66.6643, aux.loss_ce: 0.2155, aux.acc_seg: 65.6124, loss: 0.7121 2022-06-18 11:43:30,023 - mmseg - INFO - Iter [35550/160000] lr: 4.791e-05, eta: 8:14:44, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5219, decode.acc_seg: 64.7230, aux.loss_ce: 0.2261, aux.acc_seg: 63.7718, loss: 0.7480 2022-06-18 11:43:41,385 - mmseg - INFO - Iter [35600/160000] lr: 4.790e-05, eta: 8:14:30, time: 0.227, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5516, decode.acc_seg: 64.1561, aux.loss_ce: 0.2359, aux.acc_seg: 63.3879, loss: 0.7875 2022-06-18 11:43:53,059 - mmseg - INFO - Iter [35650/160000] lr: 4.788e-05, eta: 8:14:17, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5263, decode.acc_seg: 66.1797, aux.loss_ce: 0.2278, aux.acc_seg: 65.0927, loss: 0.7540 2022-06-18 11:44:04,640 - mmseg - INFO - Iter [35700/160000] lr: 4.786e-05, eta: 8:14:04, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5106, decode.acc_seg: 65.7375, aux.loss_ce: 0.2190, aux.acc_seg: 65.1160, loss: 0.7296 2022-06-18 11:44:16,147 - mmseg - INFO - Iter [35750/160000] lr: 4.784e-05, eta: 8:13:50, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5306, decode.acc_seg: 64.0662, aux.loss_ce: 0.2315, aux.acc_seg: 62.9367, loss: 0.7621 2022-06-18 11:44:27,930 - mmseg - INFO - Iter [35800/160000] lr: 4.782e-05, eta: 8:13:38, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5253, decode.acc_seg: 66.4007, aux.loss_ce: 0.2284, aux.acc_seg: 65.3409, loss: 0.7537 2022-06-18 11:44:39,816 - mmseg - INFO - Iter [35850/160000] lr: 4.780e-05, eta: 8:13:26, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5266, decode.acc_seg: 65.0512, aux.loss_ce: 0.2275, aux.acc_seg: 63.9622, loss: 0.7540 2022-06-18 11:44:51,505 - mmseg - INFO - Iter [35900/160000] lr: 4.778e-05, eta: 8:13:13, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5141, decode.acc_seg: 64.3530, aux.loss_ce: 0.2214, aux.acc_seg: 63.5790, loss: 0.7354 2022-06-18 11:45:03,087 - mmseg - INFO - Iter [35950/160000] lr: 4.776e-05, eta: 8:13:00, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5142, decode.acc_seg: 65.7814, aux.loss_ce: 0.2210, aux.acc_seg: 64.9819, loss: 0.7352 2022-06-18 11:45:14,609 - mmseg - INFO - Saving checkpoint at 36000 iterations 2022-06-18 11:45:15,296 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 11:45:15,296 - mmseg - INFO - Iter [36000/160000] lr: 4.774e-05, eta: 8:12:49, time: 0.244, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5121, decode.acc_seg: 64.8368, aux.loss_ce: 0.2244, aux.acc_seg: 63.5712, loss: 0.7365 2022-06-18 11:45:27,152 - mmseg - INFO - Iter [36050/160000] lr: 4.772e-05, eta: 8:12:37, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5266, decode.acc_seg: 63.2316, aux.loss_ce: 0.2293, aux.acc_seg: 62.4841, loss: 0.7559 2022-06-18 11:45:38,998 - mmseg - INFO - Iter [36100/160000] lr: 4.770e-05, eta: 8:12:25, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5535, decode.acc_seg: 64.5255, aux.loss_ce: 0.2388, aux.acc_seg: 63.7972, loss: 0.7923 2022-06-18 11:45:50,442 - mmseg - INFO - Iter [36150/160000] lr: 4.768e-05, eta: 8:12:11, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5185, decode.acc_seg: 63.3375, aux.loss_ce: 0.2230, aux.acc_seg: 62.4719, loss: 0.7415 2022-06-18 11:46:01,952 - mmseg - INFO - Iter [36200/160000] lr: 4.766e-05, eta: 8:11:58, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5720, decode.acc_seg: 62.7559, aux.loss_ce: 0.2466, aux.acc_seg: 61.9991, loss: 0.8186 2022-06-18 11:46:13,654 - mmseg - INFO - Iter [36250/160000] lr: 4.764e-05, eta: 8:11:45, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5376, decode.acc_seg: 65.7474, aux.loss_ce: 0.2327, aux.acc_seg: 64.7775, loss: 0.7703 2022-06-18 11:46:25,213 - mmseg - INFO - Iter [36300/160000] lr: 4.763e-05, eta: 8:11:32, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5033, decode.acc_seg: 64.7328, aux.loss_ce: 0.2183, aux.acc_seg: 63.8299, loss: 0.7215 2022-06-18 11:46:36,840 - mmseg - INFO - Iter [36350/160000] lr: 4.761e-05, eta: 8:11:19, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5526, decode.acc_seg: 64.2597, aux.loss_ce: 0.2370, aux.acc_seg: 63.6402, loss: 0.7896 2022-06-18 11:46:48,730 - mmseg - INFO - Iter [36400/160000] lr: 4.759e-05, eta: 8:11:07, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4997, decode.acc_seg: 65.5237, aux.loss_ce: 0.2167, aux.acc_seg: 64.6116, loss: 0.7164 2022-06-18 11:47:00,186 - mmseg - INFO - Iter [36450/160000] lr: 4.757e-05, eta: 8:10:54, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5345, decode.acc_seg: 64.7335, aux.loss_ce: 0.2334, aux.acc_seg: 63.4238, loss: 0.7679 2022-06-18 11:47:11,675 - mmseg - INFO - Iter [36500/160000] lr: 4.755e-05, eta: 8:10:40, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5596, decode.acc_seg: 64.5597, aux.loss_ce: 0.2415, aux.acc_seg: 63.7886, loss: 0.8011 2022-06-18 11:47:23,518 - mmseg - INFO - Iter [36550/160000] lr: 4.753e-05, eta: 8:10:28, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5306, decode.acc_seg: 65.6133, aux.loss_ce: 0.2315, aux.acc_seg: 64.4203, loss: 0.7621 2022-06-18 11:47:35,216 - mmseg - INFO - Iter [36600/160000] lr: 4.751e-05, eta: 8:10:15, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5478, decode.acc_seg: 64.7890, aux.loss_ce: 0.2385, aux.acc_seg: 63.6366, loss: 0.7863 2022-06-18 11:47:49,054 - mmseg - INFO - Iter [36650/160000] lr: 4.749e-05, eta: 8:10:10, time: 0.276, data_time: 0.048, memory: 36048, decode.loss_ce: 0.5030, decode.acc_seg: 64.3714, aux.loss_ce: 0.2168, aux.acc_seg: 63.7345, loss: 0.7198 2022-06-18 11:48:00,803 - mmseg - INFO - Iter [36700/160000] lr: 4.747e-05, eta: 8:09:57, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5087, decode.acc_seg: 66.1753, aux.loss_ce: 0.2202, aux.acc_seg: 65.5394, loss: 0.7289 2022-06-18 11:48:12,325 - mmseg - INFO - Iter [36750/160000] lr: 4.745e-05, eta: 8:09:44, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5038, decode.acc_seg: 66.0857, aux.loss_ce: 0.2192, aux.acc_seg: 64.9511, loss: 0.7230 2022-06-18 11:48:24,040 - mmseg - INFO - Iter [36800/160000] lr: 4.743e-05, eta: 8:09:32, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5028, decode.acc_seg: 67.5740, aux.loss_ce: 0.2178, aux.acc_seg: 66.5376, loss: 0.7206 2022-06-18 11:48:35,722 - mmseg - INFO - Iter [36850/160000] lr: 4.741e-05, eta: 8:09:19, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4888, decode.acc_seg: 66.3374, aux.loss_ce: 0.2131, aux.acc_seg: 65.3454, loss: 0.7019 2022-06-18 11:48:47,387 - mmseg - INFO - Iter [36900/160000] lr: 4.739e-05, eta: 8:09:06, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5169, decode.acc_seg: 65.0979, aux.loss_ce: 0.2247, aux.acc_seg: 64.4012, loss: 0.7416 2022-06-18 11:48:59,113 - mmseg - INFO - Iter [36950/160000] lr: 4.738e-05, eta: 8:08:54, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5095, decode.acc_seg: 66.0237, aux.loss_ce: 0.2210, aux.acc_seg: 64.9522, loss: 0.7305 2022-06-18 11:49:11,055 - mmseg - INFO - Saving checkpoint at 37000 iterations 2022-06-18 11:49:11,741 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 11:49:11,741 - mmseg - INFO - Iter [37000/160000] lr: 4.736e-05, eta: 8:08:44, time: 0.253, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5412, decode.acc_seg: 64.4981, aux.loss_ce: 0.2342, aux.acc_seg: 63.5937, loss: 0.7754 2022-06-18 11:49:23,452 - mmseg - INFO - Iter [37050/160000] lr: 4.734e-05, eta: 8:08:31, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5174, decode.acc_seg: 65.6100, aux.loss_ce: 0.2238, aux.acc_seg: 64.7127, loss: 0.7412 2022-06-18 11:49:35,426 - mmseg - INFO - Iter [37100/160000] lr: 4.732e-05, eta: 8:08:20, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5365, decode.acc_seg: 65.2421, aux.loss_ce: 0.2328, aux.acc_seg: 64.3533, loss: 0.7693 2022-06-18 11:49:47,064 - mmseg - INFO - Iter [37150/160000] lr: 4.730e-05, eta: 8:08:07, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5659, decode.acc_seg: 64.0077, aux.loss_ce: 0.2434, aux.acc_seg: 62.9640, loss: 0.8093 2022-06-18 11:49:58,990 - mmseg - INFO - Iter [37200/160000] lr: 4.728e-05, eta: 8:07:55, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5462, decode.acc_seg: 64.9271, aux.loss_ce: 0.2387, aux.acc_seg: 63.9160, loss: 0.7849 2022-06-18 11:50:10,736 - mmseg - INFO - Iter [37250/160000] lr: 4.726e-05, eta: 8:07:42, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5197, decode.acc_seg: 65.5682, aux.loss_ce: 0.2257, aux.acc_seg: 64.5522, loss: 0.7454 2022-06-18 11:50:22,425 - mmseg - INFO - Iter [37300/160000] lr: 4.724e-05, eta: 8:07:30, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5204, decode.acc_seg: 63.7643, aux.loss_ce: 0.2250, aux.acc_seg: 62.9504, loss: 0.7454 2022-06-18 11:50:34,272 - mmseg - INFO - Iter [37350/160000] lr: 4.722e-05, eta: 8:07:17, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5393, decode.acc_seg: 64.7626, aux.loss_ce: 0.2311, aux.acc_seg: 64.1762, loss: 0.7704 2022-06-18 11:50:45,953 - mmseg - INFO - Iter [37400/160000] lr: 4.720e-05, eta: 8:07:05, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5256, decode.acc_seg: 65.5169, aux.loss_ce: 0.2269, aux.acc_seg: 64.5920, loss: 0.7525 2022-06-18 11:50:57,584 - mmseg - INFO - Iter [37450/160000] lr: 4.718e-05, eta: 8:06:52, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5009, decode.acc_seg: 63.8530, aux.loss_ce: 0.2160, aux.acc_seg: 63.0789, loss: 0.7170 2022-06-18 11:51:09,290 - mmseg - INFO - Iter [37500/160000] lr: 4.716e-05, eta: 8:06:39, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5317, decode.acc_seg: 63.5110, aux.loss_ce: 0.2316, aux.acc_seg: 62.8909, loss: 0.7633 2022-06-18 11:51:20,816 - mmseg - INFO - Iter [37550/160000] lr: 4.714e-05, eta: 8:06:26, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5332, decode.acc_seg: 65.2958, aux.loss_ce: 0.2272, aux.acc_seg: 64.6686, loss: 0.7605 2022-06-18 11:51:32,531 - mmseg - INFO - Iter [37600/160000] lr: 4.713e-05, eta: 8:06:14, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5306, decode.acc_seg: 64.1590, aux.loss_ce: 0.2310, aux.acc_seg: 63.3679, loss: 0.7617 2022-06-18 11:51:44,124 - mmseg - INFO - Iter [37650/160000] lr: 4.711e-05, eta: 8:06:01, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5486, decode.acc_seg: 65.0821, aux.loss_ce: 0.2353, aux.acc_seg: 64.2830, loss: 0.7838 2022-06-18 11:51:55,719 - mmseg - INFO - Iter [37700/160000] lr: 4.709e-05, eta: 8:05:48, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5282, decode.acc_seg: 64.8281, aux.loss_ce: 0.2314, aux.acc_seg: 63.9397, loss: 0.7596 2022-06-18 11:52:07,592 - mmseg - INFO - Iter [37750/160000] lr: 4.707e-05, eta: 8:05:35, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5167, decode.acc_seg: 64.1994, aux.loss_ce: 0.2239, aux.acc_seg: 63.3168, loss: 0.7405 2022-06-18 11:52:19,547 - mmseg - INFO - Iter [37800/160000] lr: 4.705e-05, eta: 8:05:24, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5223, decode.acc_seg: 63.8288, aux.loss_ce: 0.2251, aux.acc_seg: 63.0027, loss: 0.7475 2022-06-18 11:52:31,526 - mmseg - INFO - Iter [37850/160000] lr: 4.703e-05, eta: 8:05:12, time: 0.240, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5543, decode.acc_seg: 63.0644, aux.loss_ce: 0.2396, aux.acc_seg: 62.1395, loss: 0.7939 2022-06-18 11:52:45,399 - mmseg - INFO - Iter [37900/160000] lr: 4.701e-05, eta: 8:05:06, time: 0.277, data_time: 0.048, memory: 36048, decode.loss_ce: 0.5314, decode.acc_seg: 64.7796, aux.loss_ce: 0.2316, aux.acc_seg: 63.6077, loss: 0.7631 2022-06-18 11:52:57,168 - mmseg - INFO - Iter [37950/160000] lr: 4.699e-05, eta: 8:04:54, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5028, decode.acc_seg: 64.7567, aux.loss_ce: 0.2193, aux.acc_seg: 63.9011, loss: 0.7221 2022-06-18 11:53:09,286 - mmseg - INFO - Saving checkpoint at 38000 iterations 2022-06-18 11:53:09,963 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 11:53:09,963 - mmseg - INFO - Iter [38000/160000] lr: 4.697e-05, eta: 8:04:45, time: 0.256, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4967, decode.acc_seg: 65.0118, aux.loss_ce: 0.2175, aux.acc_seg: 63.9743, loss: 0.7142 2022-06-18 11:53:21,535 - mmseg - INFO - Iter [38050/160000] lr: 4.695e-05, eta: 8:04:32, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5121, decode.acc_seg: 66.4467, aux.loss_ce: 0.2255, aux.acc_seg: 65.2116, loss: 0.7376 2022-06-18 11:53:33,315 - mmseg - INFO - Iter [38100/160000] lr: 4.693e-05, eta: 8:04:20, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4954, decode.acc_seg: 64.9656, aux.loss_ce: 0.2163, aux.acc_seg: 64.1716, loss: 0.7118 2022-06-18 11:53:44,881 - mmseg - INFO - Iter [38150/160000] lr: 4.691e-05, eta: 8:04:06, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5025, decode.acc_seg: 65.0170, aux.loss_ce: 0.2178, aux.acc_seg: 64.2294, loss: 0.7203 2022-06-18 11:53:56,421 - mmseg - INFO - Iter [38200/160000] lr: 4.689e-05, eta: 8:03:53, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4861, decode.acc_seg: 67.5680, aux.loss_ce: 0.2087, aux.acc_seg: 66.9207, loss: 0.6948 2022-06-18 11:54:08,144 - mmseg - INFO - Iter [38250/160000] lr: 4.687e-05, eta: 8:03:41, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5199, decode.acc_seg: 64.5015, aux.loss_ce: 0.2268, aux.acc_seg: 63.4674, loss: 0.7467 2022-06-18 11:54:20,148 - mmseg - INFO - Iter [38300/160000] lr: 4.686e-05, eta: 8:03:29, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5179, decode.acc_seg: 64.9538, aux.loss_ce: 0.2260, aux.acc_seg: 64.1156, loss: 0.7440 2022-06-18 11:54:31,816 - mmseg - INFO - Iter [38350/160000] lr: 4.684e-05, eta: 8:03:16, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5256, decode.acc_seg: 64.5107, aux.loss_ce: 0.2254, aux.acc_seg: 63.4026, loss: 0.7510 2022-06-18 11:54:43,220 - mmseg - INFO - Iter [38400/160000] lr: 4.682e-05, eta: 8:03:03, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5282, decode.acc_seg: 63.9939, aux.loss_ce: 0.2252, aux.acc_seg: 63.3143, loss: 0.7534 2022-06-18 11:54:55,184 - mmseg - INFO - Iter [38450/160000] lr: 4.680e-05, eta: 8:02:51, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4901, decode.acc_seg: 64.8296, aux.loss_ce: 0.2113, aux.acc_seg: 63.8818, loss: 0.7014 2022-06-18 11:55:07,019 - mmseg - INFO - Iter [38500/160000] lr: 4.678e-05, eta: 8:02:39, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4973, decode.acc_seg: 65.0942, aux.loss_ce: 0.2162, aux.acc_seg: 63.9064, loss: 0.7135 2022-06-18 11:55:18,605 - mmseg - INFO - Iter [38550/160000] lr: 4.676e-05, eta: 8:02:26, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4928, decode.acc_seg: 64.8517, aux.loss_ce: 0.2141, aux.acc_seg: 63.9385, loss: 0.7069 2022-06-18 11:55:30,231 - mmseg - INFO - Iter [38600/160000] lr: 4.674e-05, eta: 8:02:13, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5305, decode.acc_seg: 65.3050, aux.loss_ce: 0.2324, aux.acc_seg: 64.2227, loss: 0.7629 2022-06-18 11:55:41,776 - mmseg - INFO - Iter [38650/160000] lr: 4.672e-05, eta: 8:02:00, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4998, decode.acc_seg: 66.3424, aux.loss_ce: 0.2179, aux.acc_seg: 65.4616, loss: 0.7177 2022-06-18 11:55:53,279 - mmseg - INFO - Iter [38700/160000] lr: 4.670e-05, eta: 8:01:47, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5081, decode.acc_seg: 65.5816, aux.loss_ce: 0.2215, aux.acc_seg: 64.5726, loss: 0.7295 2022-06-18 11:56:05,054 - mmseg - INFO - Iter [38750/160000] lr: 4.668e-05, eta: 8:01:34, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4829, decode.acc_seg: 64.6007, aux.loss_ce: 0.2104, aux.acc_seg: 63.7780, loss: 0.6934 2022-06-18 11:56:16,803 - mmseg - INFO - Iter [38800/160000] lr: 4.666e-05, eta: 8:01:22, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5505, decode.acc_seg: 64.5072, aux.loss_ce: 0.2368, aux.acc_seg: 63.6781, loss: 0.7873 2022-06-18 11:56:28,483 - mmseg - INFO - Iter [38850/160000] lr: 4.664e-05, eta: 8:01:09, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5163, decode.acc_seg: 63.6872, aux.loss_ce: 0.2216, aux.acc_seg: 62.8742, loss: 0.7379 2022-06-18 11:56:40,105 - mmseg - INFO - Iter [38900/160000] lr: 4.662e-05, eta: 8:00:57, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5609, decode.acc_seg: 65.0044, aux.loss_ce: 0.2408, aux.acc_seg: 64.2261, loss: 0.8017 2022-06-18 11:56:51,573 - mmseg - INFO - Iter [38950/160000] lr: 4.661e-05, eta: 8:00:43, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5565, decode.acc_seg: 63.3598, aux.loss_ce: 0.2363, aux.acc_seg: 62.4556, loss: 0.7928 2022-06-18 11:57:03,200 - mmseg - INFO - Saving checkpoint at 39000 iterations 2022-06-18 11:57:03,895 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 11:57:03,895 - mmseg - INFO - Iter [39000/160000] lr: 4.659e-05, eta: 8:00:33, time: 0.246, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5008, decode.acc_seg: 64.8429, aux.loss_ce: 0.2159, aux.acc_seg: 63.9337, loss: 0.7167 2022-06-18 11:57:15,758 - mmseg - INFO - Iter [39050/160000] lr: 4.657e-05, eta: 8:00:21, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5306, decode.acc_seg: 63.1069, aux.loss_ce: 0.2278, aux.acc_seg: 62.1319, loss: 0.7584 2022-06-18 11:57:27,419 - mmseg - INFO - Iter [39100/160000] lr: 4.655e-05, eta: 8:00:08, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5300, decode.acc_seg: 65.5617, aux.loss_ce: 0.2282, aux.acc_seg: 64.7739, loss: 0.7582 2022-06-18 11:57:38,850 - mmseg - INFO - Iter [39150/160000] lr: 4.653e-05, eta: 7:59:54, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5473, decode.acc_seg: 63.8232, aux.loss_ce: 0.2348, aux.acc_seg: 63.1017, loss: 0.7822 2022-06-18 11:57:52,799 - mmseg - INFO - Iter [39200/160000] lr: 4.651e-05, eta: 7:59:49, time: 0.279, data_time: 0.048, memory: 36048, decode.loss_ce: 0.5130, decode.acc_seg: 64.6944, aux.loss_ce: 0.2227, aux.acc_seg: 63.8559, loss: 0.7357 2022-06-18 11:58:04,234 - mmseg - INFO - Iter [39250/160000] lr: 4.649e-05, eta: 7:59:35, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5178, decode.acc_seg: 63.2042, aux.loss_ce: 0.2248, aux.acc_seg: 62.3608, loss: 0.7425 2022-06-18 11:58:15,915 - mmseg - INFO - Iter [39300/160000] lr: 4.647e-05, eta: 7:59:23, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5010, decode.acc_seg: 65.8948, aux.loss_ce: 0.2208, aux.acc_seg: 64.7045, loss: 0.7218 2022-06-18 11:58:27,593 - mmseg - INFO - Iter [39350/160000] lr: 4.645e-05, eta: 7:59:10, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4979, decode.acc_seg: 64.6987, aux.loss_ce: 0.2184, aux.acc_seg: 63.7121, loss: 0.7163 2022-06-18 11:58:39,316 - mmseg - INFO - Iter [39400/160000] lr: 4.643e-05, eta: 7:58:58, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4989, decode.acc_seg: 64.7244, aux.loss_ce: 0.2172, aux.acc_seg: 63.7634, loss: 0.7161 2022-06-18 11:58:51,206 - mmseg - INFO - Iter [39450/160000] lr: 4.641e-05, eta: 7:58:46, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5107, decode.acc_seg: 64.6025, aux.loss_ce: 0.2211, aux.acc_seg: 63.6667, loss: 0.7318 2022-06-18 11:59:03,068 - mmseg - INFO - Iter [39500/160000] lr: 4.639e-05, eta: 7:58:34, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4700, decode.acc_seg: 67.3444, aux.loss_ce: 0.2072, aux.acc_seg: 66.4479, loss: 0.6773 2022-06-18 11:59:14,749 - mmseg - INFO - Iter [39550/160000] lr: 4.637e-05, eta: 7:58:21, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4926, decode.acc_seg: 64.9481, aux.loss_ce: 0.2130, aux.acc_seg: 64.0998, loss: 0.7056 2022-06-18 11:59:26,763 - mmseg - INFO - Iter [39600/160000] lr: 4.636e-05, eta: 7:58:09, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4934, decode.acc_seg: 65.3748, aux.loss_ce: 0.2145, aux.acc_seg: 64.4610, loss: 0.7079 2022-06-18 11:59:38,620 - mmseg - INFO - Iter [39650/160000] lr: 4.634e-05, eta: 7:57:57, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4972, decode.acc_seg: 64.6836, aux.loss_ce: 0.2177, aux.acc_seg: 63.7513, loss: 0.7149 2022-06-18 11:59:50,379 - mmseg - INFO - Iter [39700/160000] lr: 4.632e-05, eta: 7:57:45, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5328, decode.acc_seg: 65.2940, aux.loss_ce: 0.2321, aux.acc_seg: 64.3304, loss: 0.7649 2022-06-18 12:00:02,280 - mmseg - INFO - Iter [39750/160000] lr: 4.630e-05, eta: 7:57:33, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5124, decode.acc_seg: 65.4615, aux.loss_ce: 0.2223, aux.acc_seg: 64.7735, loss: 0.7347 2022-06-18 12:00:14,193 - mmseg - INFO - Iter [39800/160000] lr: 4.628e-05, eta: 7:57:21, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5296, decode.acc_seg: 64.5362, aux.loss_ce: 0.2277, aux.acc_seg: 63.7316, loss: 0.7574 2022-06-18 12:00:25,781 - mmseg - INFO - Iter [39850/160000] lr: 4.626e-05, eta: 7:57:08, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5403, decode.acc_seg: 64.1563, aux.loss_ce: 0.2361, aux.acc_seg: 63.0733, loss: 0.7764 2022-06-18 12:00:37,552 - mmseg - INFO - Iter [39900/160000] lr: 4.624e-05, eta: 7:56:56, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5023, decode.acc_seg: 65.0746, aux.loss_ce: 0.2167, aux.acc_seg: 64.5699, loss: 0.7190 2022-06-18 12:00:49,176 - mmseg - INFO - Iter [39950/160000] lr: 4.622e-05, eta: 7:56:43, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5403, decode.acc_seg: 63.9791, aux.loss_ce: 0.2338, aux.acc_seg: 63.1424, loss: 0.7741 2022-06-18 12:01:00,820 - mmseg - INFO - Saving checkpoint at 40000 iterations 2022-06-18 12:01:01,523 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 12:01:01,523 - mmseg - INFO - Iter [40000/160000] lr: 4.620e-05, eta: 7:56:32, time: 0.247, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5144, decode.acc_seg: 64.7886, aux.loss_ce: 0.2233, aux.acc_seg: 63.7174, loss: 0.7377 2022-06-18 12:01:12,979 - mmseg - INFO - Iter [40050/160000] lr: 4.618e-05, eta: 7:56:19, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4999, decode.acc_seg: 65.1875, aux.loss_ce: 0.2184, aux.acc_seg: 64.1353, loss: 0.7183 2022-06-18 12:01:24,655 - mmseg - INFO - Iter [40100/160000] lr: 4.616e-05, eta: 7:56:06, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5089, decode.acc_seg: 65.1056, aux.loss_ce: 0.2194, aux.acc_seg: 64.3003, loss: 0.7283 2022-06-18 12:01:36,493 - mmseg - INFO - Iter [40150/160000] lr: 4.614e-05, eta: 7:55:54, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5127, decode.acc_seg: 66.2014, aux.loss_ce: 0.2234, aux.acc_seg: 65.2482, loss: 0.7361 2022-06-18 12:01:48,199 - mmseg - INFO - Iter [40200/160000] lr: 4.612e-05, eta: 7:55:42, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5245, decode.acc_seg: 65.1237, aux.loss_ce: 0.2281, aux.acc_seg: 64.0238, loss: 0.7526 2022-06-18 12:01:59,969 - mmseg - INFO - Iter [40250/160000] lr: 4.610e-05, eta: 7:55:29, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5242, decode.acc_seg: 65.5241, aux.loss_ce: 0.2272, aux.acc_seg: 64.6238, loss: 0.7515 2022-06-18 12:02:11,609 - mmseg - INFO - Iter [40300/160000] lr: 4.609e-05, eta: 7:55:17, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5058, decode.acc_seg: 65.8603, aux.loss_ce: 0.2213, aux.acc_seg: 64.6622, loss: 0.7271 2022-06-18 12:02:23,181 - mmseg - INFO - Iter [40350/160000] lr: 4.607e-05, eta: 7:55:04, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5145, decode.acc_seg: 66.6419, aux.loss_ce: 0.2230, aux.acc_seg: 65.8396, loss: 0.7376 2022-06-18 12:02:34,697 - mmseg - INFO - Iter [40400/160000] lr: 4.605e-05, eta: 7:54:51, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5225, decode.acc_seg: 63.5934, aux.loss_ce: 0.2263, aux.acc_seg: 62.5913, loss: 0.7488 2022-06-18 12:02:48,552 - mmseg - INFO - Iter [40450/160000] lr: 4.603e-05, eta: 7:54:45, time: 0.277, data_time: 0.051, memory: 36048, decode.loss_ce: 0.5291, decode.acc_seg: 64.3748, aux.loss_ce: 0.2289, aux.acc_seg: 63.5726, loss: 0.7580 2022-06-18 12:03:00,174 - mmseg - INFO - Iter [40500/160000] lr: 4.601e-05, eta: 7:54:32, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4893, decode.acc_seg: 66.9378, aux.loss_ce: 0.2117, aux.acc_seg: 66.1653, loss: 0.7010 2022-06-18 12:03:12,112 - mmseg - INFO - Iter [40550/160000] lr: 4.599e-05, eta: 7:54:20, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4778, decode.acc_seg: 66.5044, aux.loss_ce: 0.2077, aux.acc_seg: 65.6608, loss: 0.6855 2022-06-18 12:03:23,618 - mmseg - INFO - Iter [40600/160000] lr: 4.597e-05, eta: 7:54:07, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5076, decode.acc_seg: 65.4342, aux.loss_ce: 0.2219, aux.acc_seg: 64.3834, loss: 0.7296 2022-06-18 12:03:35,185 - mmseg - INFO - Iter [40650/160000] lr: 4.595e-05, eta: 7:53:54, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4997, decode.acc_seg: 64.9017, aux.loss_ce: 0.2168, aux.acc_seg: 64.1499, loss: 0.7164 2022-06-18 12:03:46,869 - mmseg - INFO - Iter [40700/160000] lr: 4.593e-05, eta: 7:53:41, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5049, decode.acc_seg: 64.7958, aux.loss_ce: 0.2169, aux.acc_seg: 64.2087, loss: 0.7218 2022-06-18 12:03:58,733 - mmseg - INFO - Iter [40750/160000] lr: 4.591e-05, eta: 7:53:29, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5189, decode.acc_seg: 65.6222, aux.loss_ce: 0.2255, aux.acc_seg: 64.8298, loss: 0.7445 2022-06-18 12:04:10,483 - mmseg - INFO - Iter [40800/160000] lr: 4.589e-05, eta: 7:53:17, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5003, decode.acc_seg: 65.4637, aux.loss_ce: 0.2179, aux.acc_seg: 64.6783, loss: 0.7182 2022-06-18 12:04:21,976 - mmseg - INFO - Iter [40850/160000] lr: 4.587e-05, eta: 7:53:04, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4875, decode.acc_seg: 65.6913, aux.loss_ce: 0.2113, aux.acc_seg: 64.7459, loss: 0.6988 2022-06-18 12:04:33,535 - mmseg - INFO - Iter [40900/160000] lr: 4.585e-05, eta: 7:52:51, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4913, decode.acc_seg: 64.1466, aux.loss_ce: 0.2151, aux.acc_seg: 63.0767, loss: 0.7064 2022-06-18 12:04:45,425 - mmseg - INFO - Iter [40950/160000] lr: 4.584e-05, eta: 7:52:39, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4868, decode.acc_seg: 66.7598, aux.loss_ce: 0.2112, aux.acc_seg: 65.7730, loss: 0.6981 2022-06-18 12:04:57,051 - mmseg - INFO - Saving checkpoint at 41000 iterations 2022-06-18 12:04:57,756 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 12:04:57,756 - mmseg - INFO - Iter [41000/160000] lr: 4.582e-05, eta: 7:52:28, time: 0.247, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4944, decode.acc_seg: 65.3260, aux.loss_ce: 0.2161, aux.acc_seg: 64.4385, loss: 0.7104 2022-06-18 12:05:09,456 - mmseg - INFO - Iter [41050/160000] lr: 4.580e-05, eta: 7:52:16, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5201, decode.acc_seg: 65.0919, aux.loss_ce: 0.2254, aux.acc_seg: 63.9400, loss: 0.7456 2022-06-18 12:05:21,304 - mmseg - INFO - Iter [41100/160000] lr: 4.578e-05, eta: 7:52:03, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5156, decode.acc_seg: 66.1329, aux.loss_ce: 0.2243, aux.acc_seg: 65.1638, loss: 0.7399 2022-06-18 12:05:33,019 - mmseg - INFO - Iter [41150/160000] lr: 4.576e-05, eta: 7:51:51, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5310, decode.acc_seg: 64.9435, aux.loss_ce: 0.2297, aux.acc_seg: 63.8239, loss: 0.7607 2022-06-18 12:05:44,765 - mmseg - INFO - Iter [41200/160000] lr: 4.574e-05, eta: 7:51:39, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4904, decode.acc_seg: 65.0089, aux.loss_ce: 0.2122, aux.acc_seg: 64.1203, loss: 0.7026 2022-06-18 12:05:56,418 - mmseg - INFO - Iter [41250/160000] lr: 4.572e-05, eta: 7:51:26, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5065, decode.acc_seg: 65.3124, aux.loss_ce: 0.2220, aux.acc_seg: 64.1524, loss: 0.7285 2022-06-18 12:06:07,846 - mmseg - INFO - Iter [41300/160000] lr: 4.570e-05, eta: 7:51:13, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5071, decode.acc_seg: 65.5993, aux.loss_ce: 0.2151, aux.acc_seg: 64.9598, loss: 0.7222 2022-06-18 12:06:19,451 - mmseg - INFO - Iter [41350/160000] lr: 4.568e-05, eta: 7:51:00, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5133, decode.acc_seg: 65.4359, aux.loss_ce: 0.2197, aux.acc_seg: 64.6827, loss: 0.7330 2022-06-18 12:06:31,337 - mmseg - INFO - Iter [41400/160000] lr: 4.566e-05, eta: 7:50:48, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5304, decode.acc_seg: 63.6904, aux.loss_ce: 0.2298, aux.acc_seg: 62.7946, loss: 0.7602 2022-06-18 12:06:43,102 - mmseg - INFO - Iter [41450/160000] lr: 4.564e-05, eta: 7:50:36, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5257, decode.acc_seg: 65.5352, aux.loss_ce: 0.2289, aux.acc_seg: 64.6864, loss: 0.7546 2022-06-18 12:06:54,784 - mmseg - INFO - Iter [41500/160000] lr: 4.562e-05, eta: 7:50:23, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4955, decode.acc_seg: 64.8504, aux.loss_ce: 0.2174, aux.acc_seg: 63.7127, loss: 0.7129 2022-06-18 12:07:06,243 - mmseg - INFO - Iter [41550/160000] lr: 4.560e-05, eta: 7:50:10, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5017, decode.acc_seg: 64.5453, aux.loss_ce: 0.2167, aux.acc_seg: 63.8044, loss: 0.7184 2022-06-18 12:07:17,865 - mmseg - INFO - Iter [41600/160000] lr: 4.559e-05, eta: 7:49:57, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5158, decode.acc_seg: 64.4577, aux.loss_ce: 0.2245, aux.acc_seg: 63.3839, loss: 0.7403 2022-06-18 12:07:29,456 - mmseg - INFO - Iter [41650/160000] lr: 4.557e-05, eta: 7:49:44, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4985, decode.acc_seg: 65.7383, aux.loss_ce: 0.2154, aux.acc_seg: 64.8573, loss: 0.7139 2022-06-18 12:07:42,978 - mmseg - INFO - Iter [41700/160000] lr: 4.555e-05, eta: 7:49:37, time: 0.270, data_time: 0.050, memory: 36048, decode.loss_ce: 0.5077, decode.acc_seg: 65.9930, aux.loss_ce: 0.2227, aux.acc_seg: 65.0396, loss: 0.7304 2022-06-18 12:07:54,459 - mmseg - INFO - Iter [41750/160000] lr: 4.553e-05, eta: 7:49:24, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4867, decode.acc_seg: 66.0779, aux.loss_ce: 0.2128, aux.acc_seg: 64.8533, loss: 0.6995 2022-06-18 12:08:06,043 - mmseg - INFO - Iter [41800/160000] lr: 4.551e-05, eta: 7:49:11, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4635, decode.acc_seg: 66.0549, aux.loss_ce: 0.2024, aux.acc_seg: 64.9760, loss: 0.6659 2022-06-18 12:08:17,894 - mmseg - INFO - Iter [41850/160000] lr: 4.549e-05, eta: 7:48:59, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4651, decode.acc_seg: 64.8358, aux.loss_ce: 0.2016, aux.acc_seg: 63.8512, loss: 0.6667 2022-06-18 12:08:29,780 - mmseg - INFO - Iter [41900/160000] lr: 4.547e-05, eta: 7:48:47, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5131, decode.acc_seg: 65.7220, aux.loss_ce: 0.2201, aux.acc_seg: 65.0358, loss: 0.7332 2022-06-18 12:08:41,590 - mmseg - INFO - Iter [41950/160000] lr: 4.545e-05, eta: 7:48:35, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4673, decode.acc_seg: 65.4190, aux.loss_ce: 0.2026, aux.acc_seg: 64.6380, loss: 0.6700 2022-06-18 12:08:53,150 - mmseg - INFO - Saving checkpoint at 42000 iterations 2022-06-18 12:08:53,861 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 12:08:53,861 - mmseg - INFO - Iter [42000/160000] lr: 4.543e-05, eta: 7:48:24, time: 0.245, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4832, decode.acc_seg: 65.0616, aux.loss_ce: 0.2102, aux.acc_seg: 64.2024, loss: 0.6935 2022-06-18 12:09:05,752 - mmseg - INFO - Iter [42050/160000] lr: 4.541e-05, eta: 7:48:12, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4762, decode.acc_seg: 66.1689, aux.loss_ce: 0.2099, aux.acc_seg: 64.8953, loss: 0.6861 2022-06-18 12:09:17,273 - mmseg - INFO - Iter [42100/160000] lr: 4.539e-05, eta: 7:47:59, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4976, decode.acc_seg: 64.6532, aux.loss_ce: 0.2147, aux.acc_seg: 63.8752, loss: 0.7123 2022-06-18 12:09:29,146 - mmseg - INFO - Iter [42150/160000] lr: 4.537e-05, eta: 7:47:47, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5348, decode.acc_seg: 65.8388, aux.loss_ce: 0.2325, aux.acc_seg: 65.0384, loss: 0.7673 2022-06-18 12:09:40,973 - mmseg - INFO - Iter [42200/160000] lr: 4.535e-05, eta: 7:47:35, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4901, decode.acc_seg: 66.7448, aux.loss_ce: 0.2142, aux.acc_seg: 65.6617, loss: 0.7043 2022-06-18 12:09:52,945 - mmseg - INFO - Iter [42250/160000] lr: 4.533e-05, eta: 7:47:23, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5004, decode.acc_seg: 65.6198, aux.loss_ce: 0.2178, aux.acc_seg: 64.8875, loss: 0.7182 2022-06-18 12:10:04,624 - mmseg - INFO - Iter [42300/160000] lr: 4.532e-05, eta: 7:47:11, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5114, decode.acc_seg: 65.0278, aux.loss_ce: 0.2236, aux.acc_seg: 63.9383, loss: 0.7350 2022-06-18 12:10:16,309 - mmseg - INFO - Iter [42350/160000] lr: 4.530e-05, eta: 7:46:58, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5115, decode.acc_seg: 65.6664, aux.loss_ce: 0.2242, aux.acc_seg: 64.5938, loss: 0.7356 2022-06-18 12:10:28,011 - mmseg - INFO - Iter [42400/160000] lr: 4.528e-05, eta: 7:46:45, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5049, decode.acc_seg: 66.1953, aux.loss_ce: 0.2204, aux.acc_seg: 65.2296, loss: 0.7253 2022-06-18 12:10:39,552 - mmseg - INFO - Iter [42450/160000] lr: 4.526e-05, eta: 7:46:33, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4885, decode.acc_seg: 64.4648, aux.loss_ce: 0.2119, aux.acc_seg: 63.7364, loss: 0.7004 2022-06-18 12:10:51,323 - mmseg - INFO - Iter [42500/160000] lr: 4.524e-05, eta: 7:46:20, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4845, decode.acc_seg: 65.0761, aux.loss_ce: 0.2104, aux.acc_seg: 64.1875, loss: 0.6948 2022-06-18 12:11:03,161 - mmseg - INFO - Iter [42550/160000] lr: 4.522e-05, eta: 7:46:08, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5005, decode.acc_seg: 65.7265, aux.loss_ce: 0.2181, aux.acc_seg: 64.7715, loss: 0.7185 2022-06-18 12:11:15,029 - mmseg - INFO - Iter [42600/160000] lr: 4.520e-05, eta: 7:45:56, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4738, decode.acc_seg: 65.8217, aux.loss_ce: 0.2055, aux.acc_seg: 64.9886, loss: 0.6793 2022-06-18 12:11:26,734 - mmseg - INFO - Iter [42650/160000] lr: 4.518e-05, eta: 7:45:44, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5097, decode.acc_seg: 65.2589, aux.loss_ce: 0.2213, aux.acc_seg: 64.1805, loss: 0.7310 2022-06-18 12:11:38,731 - mmseg - INFO - Iter [42700/160000] lr: 4.516e-05, eta: 7:45:32, time: 0.240, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5037, decode.acc_seg: 64.1164, aux.loss_ce: 0.2230, aux.acc_seg: 63.0386, loss: 0.7268 2022-06-18 12:11:50,323 - mmseg - INFO - Iter [42750/160000] lr: 4.514e-05, eta: 7:45:19, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4913, decode.acc_seg: 65.8214, aux.loss_ce: 0.2140, aux.acc_seg: 64.8335, loss: 0.7053 2022-06-18 12:12:02,136 - mmseg - INFO - Iter [42800/160000] lr: 4.512e-05, eta: 7:45:07, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5082, decode.acc_seg: 66.1709, aux.loss_ce: 0.2212, aux.acc_seg: 65.1841, loss: 0.7295 2022-06-18 12:12:13,764 - mmseg - INFO - Iter [42850/160000] lr: 4.510e-05, eta: 7:44:55, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4790, decode.acc_seg: 66.8363, aux.loss_ce: 0.2081, aux.acc_seg: 65.9540, loss: 0.6872 2022-06-18 12:12:25,260 - mmseg - INFO - Iter [42900/160000] lr: 4.508e-05, eta: 7:44:41, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5183, decode.acc_seg: 64.6725, aux.loss_ce: 0.2266, aux.acc_seg: 63.6998, loss: 0.7450 2022-06-18 12:12:38,943 - mmseg - INFO - Iter [42950/160000] lr: 4.507e-05, eta: 7:44:34, time: 0.274, data_time: 0.050, memory: 36048, decode.loss_ce: 0.5071, decode.acc_seg: 64.6360, aux.loss_ce: 0.2199, aux.acc_seg: 63.7162, loss: 0.7270 2022-06-18 12:12:50,672 - mmseg - INFO - Saving checkpoint at 43000 iterations 2022-06-18 12:12:51,354 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 12:12:51,354 - mmseg - INFO - Iter [43000/160000] lr: 4.505e-05, eta: 7:44:24, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4952, decode.acc_seg: 65.3378, aux.loss_ce: 0.2146, aux.acc_seg: 64.4616, loss: 0.7099 2022-06-18 12:13:03,035 - mmseg - INFO - Iter [43050/160000] lr: 4.503e-05, eta: 7:44:11, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4939, decode.acc_seg: 66.5814, aux.loss_ce: 0.2149, aux.acc_seg: 65.5654, loss: 0.7088 2022-06-18 12:13:14,530 - mmseg - INFO - Iter [43100/160000] lr: 4.501e-05, eta: 7:43:58, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4743, decode.acc_seg: 65.1847, aux.loss_ce: 0.2095, aux.acc_seg: 64.0365, loss: 0.6838 2022-06-18 12:13:26,401 - mmseg - INFO - Iter [43150/160000] lr: 4.499e-05, eta: 7:43:46, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5089, decode.acc_seg: 65.5325, aux.loss_ce: 0.2223, aux.acc_seg: 64.5559, loss: 0.7312 2022-06-18 12:13:38,164 - mmseg - INFO - Iter [43200/160000] lr: 4.497e-05, eta: 7:43:34, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5124, decode.acc_seg: 64.4711, aux.loss_ce: 0.2249, aux.acc_seg: 63.5644, loss: 0.7373 2022-06-18 12:13:49,934 - mmseg - INFO - Iter [43250/160000] lr: 4.495e-05, eta: 7:43:22, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4981, decode.acc_seg: 65.9368, aux.loss_ce: 0.2197, aux.acc_seg: 64.7626, loss: 0.7178 2022-06-18 12:14:01,773 - mmseg - INFO - Iter [43300/160000] lr: 4.493e-05, eta: 7:43:10, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4724, decode.acc_seg: 67.0744, aux.loss_ce: 0.2079, aux.acc_seg: 66.0204, loss: 0.6803 2022-06-18 12:14:13,272 - mmseg - INFO - Iter [43350/160000] lr: 4.491e-05, eta: 7:42:57, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5029, decode.acc_seg: 66.7515, aux.loss_ce: 0.2190, aux.acc_seg: 65.6567, loss: 0.7219 2022-06-18 12:14:25,047 - mmseg - INFO - Iter [43400/160000] lr: 4.489e-05, eta: 7:42:44, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4592, decode.acc_seg: 66.1229, aux.loss_ce: 0.2007, aux.acc_seg: 65.1274, loss: 0.6600 2022-06-18 12:14:36,678 - mmseg - INFO - Iter [43450/160000] lr: 4.487e-05, eta: 7:42:32, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5096, decode.acc_seg: 64.7969, aux.loss_ce: 0.2193, aux.acc_seg: 64.1354, loss: 0.7289 2022-06-18 12:14:48,244 - mmseg - INFO - Iter [43500/160000] lr: 4.485e-05, eta: 7:42:19, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4996, decode.acc_seg: 65.2814, aux.loss_ce: 0.2156, aux.acc_seg: 64.4175, loss: 0.7151 2022-06-18 12:14:59,807 - mmseg - INFO - Iter [43550/160000] lr: 4.483e-05, eta: 7:42:06, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4959, decode.acc_seg: 66.5259, aux.loss_ce: 0.2186, aux.acc_seg: 65.4492, loss: 0.7145 2022-06-18 12:15:11,160 - mmseg - INFO - Iter [43600/160000] lr: 4.482e-05, eta: 7:41:53, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5090, decode.acc_seg: 65.8284, aux.loss_ce: 0.2223, aux.acc_seg: 64.9912, loss: 0.7313 2022-06-18 12:15:22,892 - mmseg - INFO - Iter [43650/160000] lr: 4.480e-05, eta: 7:41:40, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4660, decode.acc_seg: 64.9790, aux.loss_ce: 0.2015, aux.acc_seg: 64.0807, loss: 0.6675 2022-06-18 12:15:34,760 - mmseg - INFO - Iter [43700/160000] lr: 4.478e-05, eta: 7:41:28, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4564, decode.acc_seg: 67.2572, aux.loss_ce: 0.2015, aux.acc_seg: 66.1255, loss: 0.6580 2022-06-18 12:15:46,322 - mmseg - INFO - Iter [43750/160000] lr: 4.476e-05, eta: 7:41:16, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4971, decode.acc_seg: 66.6564, aux.loss_ce: 0.2153, aux.acc_seg: 65.6648, loss: 0.7124 2022-06-18 12:15:58,016 - mmseg - INFO - Iter [43800/160000] lr: 4.474e-05, eta: 7:41:03, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5323, decode.acc_seg: 64.5803, aux.loss_ce: 0.2287, aux.acc_seg: 63.8193, loss: 0.7610 2022-06-18 12:16:09,911 - mmseg - INFO - Iter [43850/160000] lr: 4.472e-05, eta: 7:40:51, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4947, decode.acc_seg: 65.5445, aux.loss_ce: 0.2133, aux.acc_seg: 64.6009, loss: 0.7081 2022-06-18 12:16:21,709 - mmseg - INFO - Iter [43900/160000] lr: 4.470e-05, eta: 7:40:39, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5025, decode.acc_seg: 66.3621, aux.loss_ce: 0.2172, aux.acc_seg: 65.2648, loss: 0.7197 2022-06-18 12:16:33,416 - mmseg - INFO - Iter [43950/160000] lr: 4.468e-05, eta: 7:40:27, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4918, decode.acc_seg: 65.4282, aux.loss_ce: 0.2143, aux.acc_seg: 64.6885, loss: 0.7060 2022-06-18 12:16:44,850 - mmseg - INFO - Saving checkpoint at 44000 iterations 2022-06-18 12:16:45,597 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 12:16:45,598 - mmseg - INFO - Iter [44000/160000] lr: 4.466e-05, eta: 7:40:15, time: 0.244, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5042, decode.acc_seg: 66.5124, aux.loss_ce: 0.2200, aux.acc_seg: 65.5682, loss: 0.7242 2022-06-18 12:16:57,291 - mmseg - INFO - Iter [44050/160000] lr: 4.464e-05, eta: 7:40:03, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4745, decode.acc_seg: 65.2443, aux.loss_ce: 0.2070, aux.acc_seg: 64.2970, loss: 0.6815 2022-06-18 12:17:08,772 - mmseg - INFO - Iter [44100/160000] lr: 4.462e-05, eta: 7:39:50, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4763, decode.acc_seg: 65.8061, aux.loss_ce: 0.2087, aux.acc_seg: 64.8761, loss: 0.6850 2022-06-18 12:17:20,254 - mmseg - INFO - Iter [44150/160000] lr: 4.460e-05, eta: 7:39:37, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5110, decode.acc_seg: 66.1142, aux.loss_ce: 0.2234, aux.acc_seg: 65.1509, loss: 0.7344 2022-06-18 12:17:32,007 - mmseg - INFO - Iter [44200/160000] lr: 4.458e-05, eta: 7:39:25, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4900, decode.acc_seg: 66.9561, aux.loss_ce: 0.2139, aux.acc_seg: 66.0484, loss: 0.7039 2022-06-18 12:17:45,848 - mmseg - INFO - Iter [44250/160000] lr: 4.456e-05, eta: 7:39:18, time: 0.276, data_time: 0.049, memory: 36048, decode.loss_ce: 0.4499, decode.acc_seg: 67.6843, aux.loss_ce: 0.1973, aux.acc_seg: 66.7896, loss: 0.6472 2022-06-18 12:17:57,491 - mmseg - INFO - Iter [44300/160000] lr: 4.455e-05, eta: 7:39:05, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4825, decode.acc_seg: 66.0969, aux.loss_ce: 0.2116, aux.acc_seg: 65.0938, loss: 0.6941 2022-06-18 12:18:09,043 - mmseg - INFO - Iter [44350/160000] lr: 4.453e-05, eta: 7:38:52, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4690, decode.acc_seg: 65.8374, aux.loss_ce: 0.2073, aux.acc_seg: 64.7363, loss: 0.6763 2022-06-18 12:18:21,001 - mmseg - INFO - Iter [44400/160000] lr: 4.451e-05, eta: 7:38:41, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5064, decode.acc_seg: 67.6917, aux.loss_ce: 0.2192, aux.acc_seg: 66.9263, loss: 0.7255 2022-06-18 12:18:32,709 - mmseg - INFO - Iter [44450/160000] lr: 4.449e-05, eta: 7:38:28, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5089, decode.acc_seg: 65.6920, aux.loss_ce: 0.2198, aux.acc_seg: 64.8837, loss: 0.7286 2022-06-18 12:18:44,404 - mmseg - INFO - Iter [44500/160000] lr: 4.447e-05, eta: 7:38:16, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4973, decode.acc_seg: 65.0118, aux.loss_ce: 0.2145, aux.acc_seg: 64.1396, loss: 0.7118 2022-06-18 12:18:55,934 - mmseg - INFO - Iter [44550/160000] lr: 4.445e-05, eta: 7:38:03, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4772, decode.acc_seg: 67.2128, aux.loss_ce: 0.2078, aux.acc_seg: 66.3058, loss: 0.6850 2022-06-18 12:19:07,727 - mmseg - INFO - Iter [44600/160000] lr: 4.443e-05, eta: 7:37:51, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4894, decode.acc_seg: 64.4132, aux.loss_ce: 0.2141, aux.acc_seg: 63.4924, loss: 0.7036 2022-06-18 12:19:19,664 - mmseg - INFO - Iter [44650/160000] lr: 4.441e-05, eta: 7:37:39, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4714, decode.acc_seg: 65.1754, aux.loss_ce: 0.2057, aux.acc_seg: 64.1400, loss: 0.6771 2022-06-18 12:19:31,105 - mmseg - INFO - Iter [44700/160000] lr: 4.439e-05, eta: 7:37:26, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5079, decode.acc_seg: 64.8502, aux.loss_ce: 0.2206, aux.acc_seg: 63.8384, loss: 0.7285 2022-06-18 12:19:42,851 - mmseg - INFO - Iter [44750/160000] lr: 4.437e-05, eta: 7:37:13, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4953, decode.acc_seg: 66.6696, aux.loss_ce: 0.2139, aux.acc_seg: 65.9019, loss: 0.7092 2022-06-18 12:19:54,487 - mmseg - INFO - Iter [44800/160000] lr: 4.435e-05, eta: 7:37:01, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4869, decode.acc_seg: 66.4027, aux.loss_ce: 0.2126, aux.acc_seg: 65.0797, loss: 0.6995 2022-06-18 12:20:06,003 - mmseg - INFO - Iter [44850/160000] lr: 4.433e-05, eta: 7:36:48, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4590, decode.acc_seg: 63.3058, aux.loss_ce: 0.1984, aux.acc_seg: 62.5958, loss: 0.6574 2022-06-18 12:20:17,564 - mmseg - INFO - Iter [44900/160000] lr: 4.431e-05, eta: 7:36:35, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4972, decode.acc_seg: 65.9462, aux.loss_ce: 0.2148, aux.acc_seg: 65.0536, loss: 0.7120 2022-06-18 12:20:29,392 - mmseg - INFO - Iter [44950/160000] lr: 4.430e-05, eta: 7:36:23, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4831, decode.acc_seg: 66.3540, aux.loss_ce: 0.2097, aux.acc_seg: 65.5326, loss: 0.6928 2022-06-18 12:20:40,747 - mmseg - INFO - Saving checkpoint at 45000 iterations 2022-06-18 12:20:41,455 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 12:20:41,455 - mmseg - INFO - Iter [45000/160000] lr: 4.428e-05, eta: 7:36:12, time: 0.242, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4770, decode.acc_seg: 65.7739, aux.loss_ce: 0.2071, aux.acc_seg: 64.8991, loss: 0.6841 2022-06-18 12:20:53,006 - mmseg - INFO - Iter [45050/160000] lr: 4.426e-05, eta: 7:35:59, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4765, decode.acc_seg: 65.6564, aux.loss_ce: 0.2099, aux.acc_seg: 64.6723, loss: 0.6864 2022-06-18 12:21:04,852 - mmseg - INFO - Iter [45100/160000] lr: 4.424e-05, eta: 7:35:47, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5215, decode.acc_seg: 65.3047, aux.loss_ce: 0.2287, aux.acc_seg: 64.2440, loss: 0.7502 2022-06-18 12:21:16,672 - mmseg - INFO - Iter [45150/160000] lr: 4.422e-05, eta: 7:35:35, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4919, decode.acc_seg: 66.2041, aux.loss_ce: 0.2129, aux.acc_seg: 65.3908, loss: 0.7048 2022-06-18 12:21:28,213 - mmseg - INFO - Iter [45200/160000] lr: 4.420e-05, eta: 7:35:22, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4812, decode.acc_seg: 66.3182, aux.loss_ce: 0.2082, aux.acc_seg: 65.2948, loss: 0.6894 2022-06-18 12:21:39,933 - mmseg - INFO - Iter [45250/160000] lr: 4.418e-05, eta: 7:35:10, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4732, decode.acc_seg: 66.0406, aux.loss_ce: 0.2049, aux.acc_seg: 65.1909, loss: 0.6782 2022-06-18 12:21:51,924 - mmseg - INFO - Iter [45300/160000] lr: 4.416e-05, eta: 7:34:58, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4918, decode.acc_seg: 65.0345, aux.loss_ce: 0.2179, aux.acc_seg: 63.9173, loss: 0.7096 2022-06-18 12:22:03,249 - mmseg - INFO - Iter [45350/160000] lr: 4.414e-05, eta: 7:34:45, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4867, decode.acc_seg: 66.1668, aux.loss_ce: 0.2139, aux.acc_seg: 65.1628, loss: 0.7006 2022-06-18 12:22:15,047 - mmseg - INFO - Iter [45400/160000] lr: 4.412e-05, eta: 7:34:32, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4922, decode.acc_seg: 66.6077, aux.loss_ce: 0.2153, aux.acc_seg: 65.5049, loss: 0.7075 2022-06-18 12:22:26,736 - mmseg - INFO - Iter [45450/160000] lr: 4.410e-05, eta: 7:34:20, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4941, decode.acc_seg: 65.8423, aux.loss_ce: 0.2130, aux.acc_seg: 64.9035, loss: 0.7072 2022-06-18 12:22:40,327 - mmseg - INFO - Iter [45500/160000] lr: 4.408e-05, eta: 7:34:12, time: 0.272, data_time: 0.049, memory: 36048, decode.loss_ce: 0.4793, decode.acc_seg: 65.9465, aux.loss_ce: 0.2118, aux.acc_seg: 64.9182, loss: 0.6911 2022-06-18 12:22:52,116 - mmseg - INFO - Iter [45550/160000] lr: 4.406e-05, eta: 7:34:00, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4745, decode.acc_seg: 66.0968, aux.loss_ce: 0.2093, aux.acc_seg: 64.9905, loss: 0.6838 2022-06-18 12:23:03,729 - mmseg - INFO - Iter [45600/160000] lr: 4.405e-05, eta: 7:33:47, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4751, decode.acc_seg: 66.4993, aux.loss_ce: 0.2082, aux.acc_seg: 65.4595, loss: 0.6833 2022-06-18 12:23:15,173 - mmseg - INFO - Iter [45650/160000] lr: 4.403e-05, eta: 7:33:34, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4493, decode.acc_seg: 67.2410, aux.loss_ce: 0.1976, aux.acc_seg: 66.4220, loss: 0.6469 2022-06-18 12:23:26,685 - mmseg - INFO - Iter [45700/160000] lr: 4.401e-05, eta: 7:33:22, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4881, decode.acc_seg: 66.1500, aux.loss_ce: 0.2148, aux.acc_seg: 65.0360, loss: 0.7029 2022-06-18 12:23:38,382 - mmseg - INFO - Iter [45750/160000] lr: 4.399e-05, eta: 7:33:09, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4580, decode.acc_seg: 67.3795, aux.loss_ce: 0.2006, aux.acc_seg: 66.3653, loss: 0.6586 2022-06-18 12:23:50,215 - mmseg - INFO - Iter [45800/160000] lr: 4.397e-05, eta: 7:32:57, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4970, decode.acc_seg: 64.8684, aux.loss_ce: 0.2174, aux.acc_seg: 63.8133, loss: 0.7144 2022-06-18 12:24:01,794 - mmseg - INFO - Iter [45850/160000] lr: 4.395e-05, eta: 7:32:44, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4658, decode.acc_seg: 65.4493, aux.loss_ce: 0.2041, aux.acc_seg: 64.3573, loss: 0.6698 2022-06-18 12:24:13,483 - mmseg - INFO - Iter [45900/160000] lr: 4.393e-05, eta: 7:32:32, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4681, decode.acc_seg: 65.8295, aux.loss_ce: 0.2044, aux.acc_seg: 65.0751, loss: 0.6725 2022-06-18 12:24:24,944 - mmseg - INFO - Iter [45950/160000] lr: 4.391e-05, eta: 7:32:19, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4814, decode.acc_seg: 67.1003, aux.loss_ce: 0.2130, aux.acc_seg: 65.7873, loss: 0.6944 2022-06-18 12:24:36,623 - mmseg - INFO - Saving checkpoint at 46000 iterations 2022-06-18 12:24:37,299 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 12:24:37,300 - mmseg - INFO - Iter [46000/160000] lr: 4.389e-05, eta: 7:32:08, time: 0.247, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4842, decode.acc_seg: 66.0224, aux.loss_ce: 0.2124, aux.acc_seg: 65.1085, loss: 0.6965 2022-06-18 12:24:48,795 - mmseg - INFO - Iter [46050/160000] lr: 4.387e-05, eta: 7:31:55, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4469, decode.acc_seg: 65.7451, aux.loss_ce: 0.1953, aux.acc_seg: 64.7763, loss: 0.6422 2022-06-18 12:25:00,520 - mmseg - INFO - Iter [46100/160000] lr: 4.385e-05, eta: 7:31:43, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4519, decode.acc_seg: 65.3492, aux.loss_ce: 0.1971, aux.acc_seg: 64.4186, loss: 0.6490 2022-06-18 12:25:12,270 - mmseg - INFO - Iter [46150/160000] lr: 4.383e-05, eta: 7:31:31, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4976, decode.acc_seg: 64.9359, aux.loss_ce: 0.2176, aux.acc_seg: 64.0037, loss: 0.7151 2022-06-18 12:25:23,718 - mmseg - INFO - Iter [46200/160000] lr: 4.381e-05, eta: 7:31:18, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4868, decode.acc_seg: 65.1674, aux.loss_ce: 0.2104, aux.acc_seg: 64.4789, loss: 0.6971 2022-06-18 12:25:35,525 - mmseg - INFO - Iter [46250/160000] lr: 4.379e-05, eta: 7:31:06, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5112, decode.acc_seg: 64.7656, aux.loss_ce: 0.2214, aux.acc_seg: 63.9048, loss: 0.7326 2022-06-18 12:25:47,106 - mmseg - INFO - Iter [46300/160000] lr: 4.378e-05, eta: 7:30:53, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4885, decode.acc_seg: 67.3952, aux.loss_ce: 0.2121, aux.acc_seg: 66.3716, loss: 0.7005 2022-06-18 12:25:58,911 - mmseg - INFO - Iter [46350/160000] lr: 4.376e-05, eta: 7:30:41, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4862, decode.acc_seg: 66.1274, aux.loss_ce: 0.2125, aux.acc_seg: 65.0991, loss: 0.6987 2022-06-18 12:26:10,950 - mmseg - INFO - Iter [46400/160000] lr: 4.374e-05, eta: 7:30:29, time: 0.241, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4984, decode.acc_seg: 65.6727, aux.loss_ce: 0.2155, aux.acc_seg: 64.9125, loss: 0.7139 2022-06-18 12:26:22,717 - mmseg - INFO - Iter [46450/160000] lr: 4.372e-05, eta: 7:30:17, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4483, decode.acc_seg: 65.5526, aux.loss_ce: 0.1967, aux.acc_seg: 64.7314, loss: 0.6450 2022-06-18 12:26:34,330 - mmseg - INFO - Iter [46500/160000] lr: 4.370e-05, eta: 7:30:04, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4863, decode.acc_seg: 65.0602, aux.loss_ce: 0.2120, aux.acc_seg: 64.1649, loss: 0.6983 2022-06-18 12:26:45,971 - mmseg - INFO - Iter [46550/160000] lr: 4.368e-05, eta: 7:29:52, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4887, decode.acc_seg: 64.7887, aux.loss_ce: 0.2089, aux.acc_seg: 64.2142, loss: 0.6976 2022-06-18 12:26:57,516 - mmseg - INFO - Iter [46600/160000] lr: 4.366e-05, eta: 7:29:39, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5131, decode.acc_seg: 66.4010, aux.loss_ce: 0.2233, aux.acc_seg: 65.1846, loss: 0.7364 2022-06-18 12:27:09,357 - mmseg - INFO - Iter [46650/160000] lr: 4.364e-05, eta: 7:29:27, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4701, decode.acc_seg: 65.9382, aux.loss_ce: 0.2029, aux.acc_seg: 65.0186, loss: 0.6730 2022-06-18 12:27:21,062 - mmseg - INFO - Iter [46700/160000] lr: 4.362e-05, eta: 7:29:15, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4608, decode.acc_seg: 66.5676, aux.loss_ce: 0.2045, aux.acc_seg: 65.4327, loss: 0.6654 2022-06-18 12:27:34,955 - mmseg - INFO - Iter [46750/160000] lr: 4.360e-05, eta: 7:29:08, time: 0.278, data_time: 0.049, memory: 36048, decode.loss_ce: 0.4710, decode.acc_seg: 65.9002, aux.loss_ce: 0.2043, aux.acc_seg: 64.9593, loss: 0.6753 2022-06-18 12:27:46,725 - mmseg - INFO - Iter [46800/160000] lr: 4.358e-05, eta: 7:28:56, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4847, decode.acc_seg: 66.4424, aux.loss_ce: 0.2152, aux.acc_seg: 65.5069, loss: 0.6999 2022-06-18 12:27:58,494 - mmseg - INFO - Iter [46850/160000] lr: 4.356e-05, eta: 7:28:43, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4512, decode.acc_seg: 67.4453, aux.loss_ce: 0.1963, aux.acc_seg: 66.6582, loss: 0.6475 2022-06-18 12:28:10,266 - mmseg - INFO - Iter [46900/160000] lr: 4.354e-05, eta: 7:28:31, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4750, decode.acc_seg: 67.1229, aux.loss_ce: 0.2103, aux.acc_seg: 66.0253, loss: 0.6853 2022-06-18 12:28:22,084 - mmseg - INFO - Iter [46950/160000] lr: 4.353e-05, eta: 7:28:19, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4504, decode.acc_seg: 66.9670, aux.loss_ce: 0.2006, aux.acc_seg: 65.8217, loss: 0.6511 2022-06-18 12:28:33,912 - mmseg - INFO - Saving checkpoint at 47000 iterations 2022-06-18 12:28:34,594 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 12:28:34,594 - mmseg - INFO - Iter [47000/160000] lr: 4.351e-05, eta: 7:28:09, time: 0.250, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4717, decode.acc_seg: 65.9846, aux.loss_ce: 0.2057, aux.acc_seg: 65.0028, loss: 0.6773 2022-06-18 12:28:46,100 - mmseg - INFO - Iter [47050/160000] lr: 4.349e-05, eta: 7:27:56, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4604, decode.acc_seg: 66.6340, aux.loss_ce: 0.2041, aux.acc_seg: 65.5177, loss: 0.6645 2022-06-18 12:28:57,691 - mmseg - INFO - Iter [47100/160000] lr: 4.347e-05, eta: 7:27:43, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4278, decode.acc_seg: 67.5387, aux.loss_ce: 0.1884, aux.acc_seg: 66.4003, loss: 0.6162 2022-06-18 12:29:09,604 - mmseg - INFO - Iter [47150/160000] lr: 4.345e-05, eta: 7:27:31, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4481, decode.acc_seg: 66.9672, aux.loss_ce: 0.1984, aux.acc_seg: 65.7275, loss: 0.6465 2022-06-18 12:29:21,173 - mmseg - INFO - Iter [47200/160000] lr: 4.343e-05, eta: 7:27:19, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4823, decode.acc_seg: 65.9828, aux.loss_ce: 0.2118, aux.acc_seg: 64.8580, loss: 0.6941 2022-06-18 12:29:32,950 - mmseg - INFO - Iter [47250/160000] lr: 4.341e-05, eta: 7:27:06, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5044, decode.acc_seg: 66.3190, aux.loss_ce: 0.2186, aux.acc_seg: 65.4672, loss: 0.7230 2022-06-18 12:29:44,622 - mmseg - INFO - Iter [47300/160000] lr: 4.339e-05, eta: 7:26:54, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4487, decode.acc_seg: 65.9270, aux.loss_ce: 0.1952, aux.acc_seg: 64.9957, loss: 0.6438 2022-06-18 12:29:56,550 - mmseg - INFO - Iter [47350/160000] lr: 4.337e-05, eta: 7:26:42, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4595, decode.acc_seg: 66.6374, aux.loss_ce: 0.1993, aux.acc_seg: 65.9787, loss: 0.6589 2022-06-18 12:30:08,204 - mmseg - INFO - Iter [47400/160000] lr: 4.335e-05, eta: 7:26:30, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4462, decode.acc_seg: 67.5058, aux.loss_ce: 0.1942, aux.acc_seg: 66.5999, loss: 0.6404 2022-06-18 12:30:20,307 - mmseg - INFO - Iter [47450/160000] lr: 4.333e-05, eta: 7:26:18, time: 0.243, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4843, decode.acc_seg: 65.9713, aux.loss_ce: 0.2129, aux.acc_seg: 65.0248, loss: 0.6973 2022-06-18 12:30:31,944 - mmseg - INFO - Iter [47500/160000] lr: 4.331e-05, eta: 7:26:06, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5011, decode.acc_seg: 66.0745, aux.loss_ce: 0.2189, aux.acc_seg: 65.2274, loss: 0.7199 2022-06-18 12:30:43,785 - mmseg - INFO - Iter [47550/160000] lr: 4.329e-05, eta: 7:25:54, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4516, decode.acc_seg: 66.7992, aux.loss_ce: 0.2005, aux.acc_seg: 65.5076, loss: 0.6521 2022-06-18 12:30:55,675 - mmseg - INFO - Iter [47600/160000] lr: 4.328e-05, eta: 7:25:42, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4758, decode.acc_seg: 66.4996, aux.loss_ce: 0.2086, aux.acc_seg: 65.5729, loss: 0.6845 2022-06-18 12:31:07,119 - mmseg - INFO - Iter [47650/160000] lr: 4.326e-05, eta: 7:25:29, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4867, decode.acc_seg: 66.5492, aux.loss_ce: 0.2145, aux.acc_seg: 65.5312, loss: 0.7012 2022-06-18 12:31:18,877 - mmseg - INFO - Iter [47700/160000] lr: 4.324e-05, eta: 7:25:17, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4909, decode.acc_seg: 64.9457, aux.loss_ce: 0.2142, aux.acc_seg: 64.1938, loss: 0.7051 2022-06-18 12:31:30,449 - mmseg - INFO - Iter [47750/160000] lr: 4.322e-05, eta: 7:25:04, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4864, decode.acc_seg: 65.5298, aux.loss_ce: 0.2135, aux.acc_seg: 64.8298, loss: 0.7000 2022-06-18 12:31:42,150 - mmseg - INFO - Iter [47800/160000] lr: 4.320e-05, eta: 7:24:52, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4667, decode.acc_seg: 67.1075, aux.loss_ce: 0.2046, aux.acc_seg: 66.1531, loss: 0.6713 2022-06-18 12:31:53,852 - mmseg - INFO - Iter [47850/160000] lr: 4.318e-05, eta: 7:24:39, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4675, decode.acc_seg: 67.6640, aux.loss_ce: 0.2078, aux.acc_seg: 66.6430, loss: 0.6753 2022-06-18 12:32:05,671 - mmseg - INFO - Iter [47900/160000] lr: 4.316e-05, eta: 7:24:27, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4682, decode.acc_seg: 67.6335, aux.loss_ce: 0.2006, aux.acc_seg: 66.9456, loss: 0.6687 2022-06-18 12:32:17,314 - mmseg - INFO - Iter [47950/160000] lr: 4.314e-05, eta: 7:24:15, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4780, decode.acc_seg: 66.1751, aux.loss_ce: 0.2064, aux.acc_seg: 65.2403, loss: 0.6844 2022-06-18 12:32:31,057 - mmseg - INFO - Saving checkpoint at 48000 iterations 2022-06-18 12:32:31,787 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 12:32:31,787 - mmseg - INFO - Iter [48000/160000] lr: 4.312e-05, eta: 7:24:09, time: 0.289, data_time: 0.046, memory: 36048, decode.loss_ce: 0.4757, decode.acc_seg: 65.6539, aux.loss_ce: 0.2121, aux.acc_seg: 64.6104, loss: 0.6878 2022-06-18 12:32:49,901 - mmseg - INFO - per class results: 2022-06-18 12:32:49,907 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 71.17 | 85.03 | | building | 79.81 | 90.35 | | sky | 93.72 | 96.94 | | floor | 75.99 | 85.4 | | tree | 71.0 | 86.01 | | ceiling | 78.21 | 85.66 | | road | 78.52 | 87.92 | | bed | 79.88 | 92.88 | | windowpane | 56.12 | 75.16 | | grass | 66.75 | 83.4 | | cabinet | 52.65 | 64.09 | | sidewalk | 57.19 | 75.92 | | person | 74.36 | 89.42 | | earth | 30.03 | 41.1 | | door | 36.16 | 57.75 | | table | 47.09 | 64.82 | | mountain | 50.99 | 71.65 | | plant | 45.65 | 57.88 | | curtain | 63.4 | 71.58 | | chair | 44.14 | 60.95 | | car | 74.45 | 92.53 | | water | 48.95 | 59.18 | | painting | 63.68 | 82.65 | | sofa | 54.72 | 67.23 | | shelf | 36.49 | 65.38 | | house | 54.25 | 75.37 | | sea | 53.2 | 78.49 | | mirror | 56.07 | 67.65 | | rug | 58.31 | 74.12 | | field | 27.19 | 43.5 | | armchair | 30.77 | 52.41 | | seat | 47.91 | 60.53 | | fence | 32.45 | 57.61 | | desk | 36.66 | 56.1 | | rock | 38.23 | 52.45 | | wardrobe | 42.78 | 61.21 | | lamp | 46.25 | 61.98 | | bathtub | 62.53 | 72.51 | | railing | 27.8 | 45.76 | | cushion | 42.31 | 55.88 | | base | 16.88 | 21.36 | | box | 8.6 | 11.5 | | column | 36.23 | 42.98 | | signboard | 30.21 | 40.45 | | chest of drawers | 34.54 | 61.65 | | counter | 23.18 | 29.39 | | sand | 27.42 | 46.14 | | sink | 57.0 | 71.41 | | skyscraper | 46.53 | 57.57 | | fireplace | 61.52 | 78.09 | | refrigerator | 55.13 | 60.88 | | grandstand | 37.3 | 66.13 | | path | 14.44 | 21.2 | | stairs | 21.35 | 24.48 | | runway | 70.7 | 90.3 | | case | 31.92 | 37.36 | | pool table | 85.3 | 96.24 | | pillow | 45.91 | 64.48 | | screen door | 47.8 | 55.36 | | stairway | 31.53 | 38.21 | | river | 8.82 | 20.44 | | bridge | 44.09 | 60.52 | | bookcase | 38.0 | 49.0 | | blind | 33.99 | 42.0 | | coffee table | 48.23 | 68.95 | | toilet | 75.33 | 86.42 | | flower | 34.05 | 52.53 | | book | 43.58 | 62.05 | | hill | 5.83 | 9.7 | | bench | 33.54 | 43.11 | | countertop | 50.8 | 67.9 | | stove | 50.68 | 61.76 | | palm | 42.4 | 67.24 | | kitchen island | 26.37 | 47.86 | | computer | 46.77 | 61.02 | | swivel chair | 31.41 | 44.57 | | boat | 45.49 | 53.78 | | bar | 31.63 | 36.75 | | arcade machine | 36.49 | 51.45 | | hovel | 33.59 | 39.54 | | bus | 77.71 | 81.42 | | towel | 39.2 | 44.7 | | light | 34.03 | 36.48 | | truck | 8.71 | 14.26 | | tower | 33.83 | 47.59 | | chandelier | 53.68 | 67.94 | | awning | 23.05 | 28.6 | | streetlight | 10.36 | 12.13 | | booth | 42.29 | 44.99 | | television receiver | 53.76 | 75.66 | | airplane | 39.3 | 61.12 | | dirt track | 0.74 | 1.63 | | apparel | 23.44 | 44.42 | | pole | 11.52 | 15.94 | | land | 2.18 | 4.57 | | bannister | 6.14 | 7.13 | | escalator | 22.3 | 33.6 | | ottoman | 34.8 | 48.75 | | bottle | 17.48 | 31.25 | | buffet | 40.69 | 62.73 | | poster | 9.16 | 9.69 | | stage | 8.13 | 16.54 | | van | 19.17 | 24.98 | | ship | 31.41 | 35.6 | | fountain | 19.35 | 27.66 | | conveyer belt | 53.39 | 65.54 | | canopy | 24.73 | 26.77 | | washer | 59.48 | 74.4 | | plaything | 14.05 | 25.13 | | swimming pool | 44.87 | 86.09 | | stool | 15.28 | 18.57 | | barrel | 4.05 | 12.28 | | basket | 16.04 | 19.02 | | waterfall | 64.86 | 74.51 | | tent | 71.29 | 98.64 | | bag | 2.51 | 2.8 | | minibike | 47.14 | 56.44 | | cradle | 59.32 | 94.11 | | oven | 25.71 | 42.16 | | ball | 39.8 | 47.11 | | food | 46.02 | 62.12 | | step | 1.54 | 1.7 | | tank | 38.38 | 44.27 | | trade name | 6.65 | 6.7 | | microwave | 30.72 | 34.94 | | pot | 32.37 | 37.91 | | animal | 50.32 | 54.67 | | bicycle | 32.03 | 67.25 | | lake | 49.62 | 68.39 | | dishwasher | 42.61 | 61.44 | | screen | 72.75 | 85.96 | | blanket | 4.34 | 5.53 | | sculpture | 40.58 | 49.42 | | hood | 37.51 | 60.9 | | sconce | 22.15 | 24.33 | | vase | 19.81 | 28.82 | | traffic light | 13.17 | 22.84 | | tray | 2.6 | 4.66 | | ashcan | 24.41 | 36.1 | | fan | 44.54 | 54.68 | | pier | 12.82 | 14.54 | | crt screen | 0.64 | 1.39 | | plate | 40.75 | 48.58 | | monitor | 14.26 | 22.58 | | bulletin board | 26.62 | 35.92 | | shower | 0.0 | 0.0 | | radiator | 47.58 | 56.78 | | glass | 1.88 | 2.0 | | clock | 11.57 | 12.76 | | flag | 22.82 | 27.77 | +---------------------+-------+-------+ 2022-06-18 12:32:49,907 - mmseg - INFO - Summary: 2022-06-18 12:32:49,907 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 78.5 | 38.19 | 50.04 | +------+-------+-------+ 2022-06-18 12:32:49,947 - mmseg - INFO - The previous best checkpoint /home/chenzhe/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_deit_adapter_tiny_512_160_ade20k_try2/best_mIoU_iter_32000.pth was removed 2022-06-18 12:32:50,589 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. 2022-06-18 12:32:50,589 - mmseg - INFO - Best mIoU is 0.3819 at 48000 iter. 2022-06-18 12:32:50,598 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 12:32:50,598 - mmseg - INFO - Iter(val) [250] aAcc: 0.7850, mIoU: 0.3819, mAcc: 0.5004, IoU.wall: 0.7117, IoU.building: 0.7981, IoU.sky: 0.9372, IoU.floor: 0.7599, IoU.tree: 0.7100, IoU.ceiling: 0.7821, IoU.road: 0.7852, IoU.bed : 0.7988, IoU.windowpane: 0.5612, IoU.grass: 0.6675, IoU.cabinet: 0.5265, IoU.sidewalk: 0.5719, IoU.person: 0.7436, IoU.earth: 0.3003, IoU.door: 0.3616, IoU.table: 0.4709, IoU.mountain: 0.5099, IoU.plant: 0.4565, IoU.curtain: 0.6340, IoU.chair: 0.4414, IoU.car: 0.7445, IoU.water: 0.4895, IoU.painting: 0.6368, IoU.sofa: 0.5472, IoU.shelf: 0.3649, IoU.house: 0.5425, IoU.sea: 0.5320, IoU.mirror: 0.5607, IoU.rug: 0.5831, IoU.field: 0.2719, IoU.armchair: 0.3077, IoU.seat: 0.4791, IoU.fence: 0.3245, IoU.desk: 0.3666, IoU.rock: 0.3823, IoU.wardrobe: 0.4278, IoU.lamp: 0.4625, IoU.bathtub: 0.6253, IoU.railing: 0.2780, IoU.cushion: 0.4231, IoU.base: 0.1688, IoU.box: 0.0860, IoU.column: 0.3623, IoU.signboard: 0.3021, IoU.chest of drawers: 0.3454, IoU.counter: 0.2318, IoU.sand: 0.2742, IoU.sink: 0.5700, IoU.skyscraper: 0.4653, IoU.fireplace: 0.6152, IoU.refrigerator: 0.5513, IoU.grandstand: 0.3730, IoU.path: 0.1444, IoU.stairs: 0.2135, IoU.runway: 0.7070, IoU.case: 0.3192, IoU.pool table: 0.8530, IoU.pillow: 0.4591, IoU.screen door: 0.4780, IoU.stairway: 0.3153, IoU.river: 0.0882, IoU.bridge: 0.4409, IoU.bookcase: 0.3800, IoU.blind: 0.3399, IoU.coffee table: 0.4823, IoU.toilet: 0.7533, IoU.flower: 0.3405, IoU.book: 0.4358, IoU.hill: 0.0583, IoU.bench: 0.3354, IoU.countertop: 0.5080, IoU.stove: 0.5068, IoU.palm: 0.4240, IoU.kitchen island: 0.2637, IoU.computer: 0.4677, IoU.swivel chair: 0.3141, IoU.boat: 0.4549, IoU.bar: 0.3163, IoU.arcade machine: 0.3649, IoU.hovel: 0.3359, IoU.bus: 0.7771, IoU.towel: 0.3920, IoU.light: 0.3403, IoU.truck: 0.0871, IoU.tower: 0.3383, IoU.chandelier: 0.5368, IoU.awning: 0.2305, IoU.streetlight: 0.1036, IoU.booth: 0.4229, IoU.television receiver: 0.5376, IoU.airplane: 0.3930, IoU.dirt track: 0.0074, IoU.apparel: 0.2344, IoU.pole: 0.1152, IoU.land: 0.0218, IoU.bannister: 0.0614, IoU.escalator: 0.2230, IoU.ottoman: 0.3480, IoU.bottle: 0.1748, IoU.buffet: 0.4069, IoU.poster: 0.0916, IoU.stage: 0.0813, IoU.van: 0.1917, IoU.ship: 0.3141, IoU.fountain: 0.1935, IoU.conveyer belt: 0.5339, IoU.canopy: 0.2473, IoU.washer: 0.5948, IoU.plaything: 0.1405, IoU.swimming pool: 0.4487, IoU.stool: 0.1528, IoU.barrel: 0.0405, IoU.basket: 0.1604, IoU.waterfall: 0.6486, IoU.tent: 0.7129, IoU.bag: 0.0251, IoU.minibike: 0.4714, IoU.cradle: 0.5932, IoU.oven: 0.2571, IoU.ball: 0.3980, IoU.food: 0.4602, IoU.step: 0.0154, IoU.tank: 0.3838, IoU.trade name: 0.0665, IoU.microwave: 0.3072, IoU.pot: 0.3237, IoU.animal: 0.5032, IoU.bicycle: 0.3203, IoU.lake: 0.4962, IoU.dishwasher: 0.4261, IoU.screen: 0.7275, IoU.blanket: 0.0434, IoU.sculpture: 0.4058, IoU.hood: 0.3751, IoU.sconce: 0.2215, IoU.vase: 0.1981, IoU.traffic light: 0.1317, IoU.tray: 0.0260, IoU.ashcan: 0.2441, IoU.fan: 0.4454, IoU.pier: 0.1282, IoU.crt screen: 0.0064, IoU.plate: 0.4075, IoU.monitor: 0.1426, IoU.bulletin board: 0.2662, IoU.shower: 0.0000, IoU.radiator: 0.4758, IoU.glass: 0.0188, IoU.clock: 0.1157, IoU.flag: 0.2282, Acc.wall: 0.8503, Acc.building: 0.9035, Acc.sky: 0.9694, Acc.floor: 0.8540, Acc.tree: 0.8601, Acc.ceiling: 0.8566, Acc.road: 0.8792, Acc.bed : 0.9288, Acc.windowpane: 0.7516, Acc.grass: 0.8340, Acc.cabinet: 0.6409, Acc.sidewalk: 0.7592, Acc.person: 0.8942, Acc.earth: 0.4110, Acc.door: 0.5775, Acc.table: 0.6482, Acc.mountain: 0.7165, Acc.plant: 0.5788, Acc.curtain: 0.7158, Acc.chair: 0.6095, Acc.car: 0.9253, Acc.water: 0.5918, Acc.painting: 0.8265, Acc.sofa: 0.6723, Acc.shelf: 0.6538, Acc.house: 0.7537, Acc.sea: 0.7849, Acc.mirror: 0.6765, Acc.rug: 0.7412, Acc.field: 0.4350, Acc.armchair: 0.5241, Acc.seat: 0.6053, Acc.fence: 0.5761, Acc.desk: 0.5610, Acc.rock: 0.5245, Acc.wardrobe: 0.6121, Acc.lamp: 0.6198, Acc.bathtub: 0.7251, Acc.railing: 0.4576, Acc.cushion: 0.5588, Acc.base: 0.2136, Acc.box: 0.1150, Acc.column: 0.4298, Acc.signboard: 0.4045, Acc.chest of drawers: 0.6165, Acc.counter: 0.2939, Acc.sand: 0.4614, Acc.sink: 0.7141, Acc.skyscraper: 0.5757, Acc.fireplace: 0.7809, Acc.refrigerator: 0.6088, Acc.grandstand: 0.6613, Acc.path: 0.2120, Acc.stairs: 0.2448, Acc.runway: 0.9030, Acc.case: 0.3736, Acc.pool table: 0.9624, Acc.pillow: 0.6448, Acc.screen door: 0.5536, Acc.stairway: 0.3821, Acc.river: 0.2044, Acc.bridge: 0.6052, Acc.bookcase: 0.4900, Acc.blind: 0.4200, Acc.coffee table: 0.6895, Acc.toilet: 0.8642, Acc.flower: 0.5253, Acc.book: 0.6205, Acc.hill: 0.0970, Acc.bench: 0.4311, Acc.countertop: 0.6790, Acc.stove: 0.6176, Acc.palm: 0.6724, Acc.kitchen island: 0.4786, Acc.computer: 0.6102, Acc.swivel chair: 0.4457, Acc.boat: 0.5378, Acc.bar: 0.3675, Acc.arcade machine: 0.5145, Acc.hovel: 0.3954, Acc.bus: 0.8142, Acc.towel: 0.4470, Acc.light: 0.3648, Acc.truck: 0.1426, Acc.tower: 0.4759, Acc.chandelier: 0.6794, Acc.awning: 0.2860, Acc.streetlight: 0.1213, Acc.booth: 0.4499, Acc.television receiver: 0.7566, Acc.airplane: 0.6112, Acc.dirt track: 0.0163, Acc.apparel: 0.4442, Acc.pole: 0.1594, Acc.land: 0.0457, Acc.bannister: 0.0713, Acc.escalator: 0.3360, Acc.ottoman: 0.4875, Acc.bottle: 0.3125, Acc.buffet: 0.6273, Acc.poster: 0.0969, Acc.stage: 0.1654, Acc.van: 0.2498, Acc.ship: 0.3560, Acc.fountain: 0.2766, Acc.conveyer belt: 0.6554, Acc.canopy: 0.2677, Acc.washer: 0.7440, Acc.plaything: 0.2513, Acc.swimming pool: 0.8609, Acc.stool: 0.1857, Acc.barrel: 0.1228, Acc.basket: 0.1902, Acc.waterfall: 0.7451, Acc.tent: 0.9864, Acc.bag: 0.0280, Acc.minibike: 0.5644, Acc.cradle: 0.9411, Acc.oven: 0.4216, Acc.ball: 0.4711, Acc.food: 0.6212, Acc.step: 0.0170, Acc.tank: 0.4427, Acc.trade name: 0.0670, Acc.microwave: 0.3494, Acc.pot: 0.3791, Acc.animal: 0.5467, Acc.bicycle: 0.6725, Acc.lake: 0.6839, Acc.dishwasher: 0.6144, Acc.screen: 0.8596, Acc.blanket: 0.0553, Acc.sculpture: 0.4942, Acc.hood: 0.6090, Acc.sconce: 0.2433, Acc.vase: 0.2882, Acc.traffic light: 0.2284, Acc.tray: 0.0466, Acc.ashcan: 0.3610, Acc.fan: 0.5468, Acc.pier: 0.1454, Acc.crt screen: 0.0139, Acc.plate: 0.4858, Acc.monitor: 0.2258, Acc.bulletin board: 0.3592, Acc.shower: 0.0000, Acc.radiator: 0.5678, Acc.glass: 0.0200, Acc.clock: 0.1276, Acc.flag: 0.2777 2022-06-18 12:33:02,108 - mmseg - INFO - Iter [48050/160000] lr: 4.310e-05, eta: 7:24:40, time: 0.606, data_time: 0.379, memory: 36048, decode.loss_ce: 0.4440, decode.acc_seg: 68.0106, aux.loss_ce: 0.1987, aux.acc_seg: 66.7032, loss: 0.6427 2022-06-18 12:33:13,784 - mmseg - INFO - Iter [48100/160000] lr: 4.308e-05, eta: 7:24:27, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4578, decode.acc_seg: 67.0749, aux.loss_ce: 0.2010, aux.acc_seg: 65.8649, loss: 0.6588 2022-06-18 12:33:25,477 - mmseg - INFO - Iter [48150/160000] lr: 4.306e-05, eta: 7:24:15, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4663, decode.acc_seg: 66.9046, aux.loss_ce: 0.2066, aux.acc_seg: 65.7046, loss: 0.6729 2022-06-18 12:33:37,473 - mmseg - INFO - Iter [48200/160000] lr: 4.304e-05, eta: 7:24:03, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4793, decode.acc_seg: 65.5961, aux.loss_ce: 0.2107, aux.acc_seg: 64.5936, loss: 0.6901 2022-06-18 12:33:49,096 - mmseg - INFO - Iter [48250/160000] lr: 4.302e-05, eta: 7:23:51, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5040, decode.acc_seg: 66.6360, aux.loss_ce: 0.2194, aux.acc_seg: 65.8313, loss: 0.7234 2022-06-18 12:34:00,612 - mmseg - INFO - Iter [48300/160000] lr: 4.301e-05, eta: 7:23:38, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4637, decode.acc_seg: 66.4009, aux.loss_ce: 0.2017, aux.acc_seg: 65.6844, loss: 0.6654 2022-06-18 12:34:12,331 - mmseg - INFO - Iter [48350/160000] lr: 4.299e-05, eta: 7:23:25, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4899, decode.acc_seg: 65.6862, aux.loss_ce: 0.2161, aux.acc_seg: 64.5828, loss: 0.7060 2022-06-18 12:34:24,229 - mmseg - INFO - Iter [48400/160000] lr: 4.297e-05, eta: 7:23:14, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4579, decode.acc_seg: 67.7231, aux.loss_ce: 0.2001, aux.acc_seg: 66.7577, loss: 0.6580 2022-06-18 12:34:36,078 - mmseg - INFO - Iter [48450/160000] lr: 4.295e-05, eta: 7:23:01, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4947, decode.acc_seg: 65.8045, aux.loss_ce: 0.2167, aux.acc_seg: 64.8229, loss: 0.7114 2022-06-18 12:34:47,583 - mmseg - INFO - Iter [48500/160000] lr: 4.293e-05, eta: 7:22:49, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4536, decode.acc_seg: 65.1521, aux.loss_ce: 0.2005, aux.acc_seg: 64.0999, loss: 0.6541 2022-06-18 12:34:59,218 - mmseg - INFO - Iter [48550/160000] lr: 4.291e-05, eta: 7:22:36, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4941, decode.acc_seg: 65.0184, aux.loss_ce: 0.2134, aux.acc_seg: 64.1053, loss: 0.7075 2022-06-18 12:35:11,040 - mmseg - INFO - Iter [48600/160000] lr: 4.289e-05, eta: 7:22:24, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4705, decode.acc_seg: 66.5771, aux.loss_ce: 0.2049, aux.acc_seg: 65.6369, loss: 0.6754 2022-06-18 12:35:22,978 - mmseg - INFO - Iter [48650/160000] lr: 4.287e-05, eta: 7:22:12, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4741, decode.acc_seg: 66.1341, aux.loss_ce: 0.2087, aux.acc_seg: 65.1918, loss: 0.6828 2022-06-18 12:35:34,836 - mmseg - INFO - Iter [48700/160000] lr: 4.285e-05, eta: 7:22:00, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4770, decode.acc_seg: 66.7793, aux.loss_ce: 0.2093, aux.acc_seg: 65.7803, loss: 0.6863 2022-06-18 12:35:46,603 - mmseg - INFO - Iter [48750/160000] lr: 4.283e-05, eta: 7:21:48, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4503, decode.acc_seg: 66.8626, aux.loss_ce: 0.1972, aux.acc_seg: 66.0257, loss: 0.6474 2022-06-18 12:35:58,387 - mmseg - INFO - Iter [48800/160000] lr: 4.281e-05, eta: 7:21:35, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.5009, decode.acc_seg: 66.4175, aux.loss_ce: 0.2174, aux.acc_seg: 65.4608, loss: 0.7183 2022-06-18 12:36:09,936 - mmseg - INFO - Iter [48850/160000] lr: 4.279e-05, eta: 7:21:23, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4749, decode.acc_seg: 66.3002, aux.loss_ce: 0.2079, aux.acc_seg: 65.3578, loss: 0.6828 2022-06-18 12:36:21,568 - mmseg - INFO - Iter [48900/160000] lr: 4.277e-05, eta: 7:21:10, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4331, decode.acc_seg: 66.7559, aux.loss_ce: 0.1916, aux.acc_seg: 65.7413, loss: 0.6247 2022-06-18 12:36:33,348 - mmseg - INFO - Iter [48950/160000] lr: 4.276e-05, eta: 7:20:58, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4647, decode.acc_seg: 66.7154, aux.loss_ce: 0.2071, aux.acc_seg: 65.3897, loss: 0.6718 2022-06-18 12:36:45,220 - mmseg - INFO - Saving checkpoint at 49000 iterations 2022-06-18 12:36:45,964 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 12:36:45,964 - mmseg - INFO - Iter [49000/160000] lr: 4.274e-05, eta: 7:20:48, time: 0.252, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4537, decode.acc_seg: 66.3062, aux.loss_ce: 0.2024, aux.acc_seg: 65.0795, loss: 0.6560 2022-06-18 12:36:57,705 - mmseg - INFO - Iter [49050/160000] lr: 4.272e-05, eta: 7:20:35, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4552, decode.acc_seg: 66.6472, aux.loss_ce: 0.1994, aux.acc_seg: 65.6742, loss: 0.6546 2022-06-18 12:37:09,249 - mmseg - INFO - Iter [49100/160000] lr: 4.270e-05, eta: 7:20:23, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4752, decode.acc_seg: 66.5342, aux.loss_ce: 0.2101, aux.acc_seg: 65.5007, loss: 0.6853 2022-06-18 12:37:20,873 - mmseg - INFO - Iter [49150/160000] lr: 4.268e-05, eta: 7:20:10, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5010, decode.acc_seg: 67.0868, aux.loss_ce: 0.2186, aux.acc_seg: 66.1294, loss: 0.7196 2022-06-18 12:37:32,540 - mmseg - INFO - Iter [49200/160000] lr: 4.266e-05, eta: 7:19:58, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4875, decode.acc_seg: 66.6510, aux.loss_ce: 0.2112, aux.acc_seg: 65.5823, loss: 0.6987 2022-06-18 12:37:43,885 - mmseg - INFO - Iter [49250/160000] lr: 4.264e-05, eta: 7:19:44, time: 0.227, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4582, decode.acc_seg: 66.7379, aux.loss_ce: 0.2002, aux.acc_seg: 65.8023, loss: 0.6584 2022-06-18 12:37:57,842 - mmseg - INFO - Iter [49300/160000] lr: 4.262e-05, eta: 7:19:37, time: 0.279, data_time: 0.049, memory: 36048, decode.loss_ce: 0.4679, decode.acc_seg: 66.7680, aux.loss_ce: 0.2042, aux.acc_seg: 65.9601, loss: 0.6721 2022-06-18 12:38:09,503 - mmseg - INFO - Iter [49350/160000] lr: 4.260e-05, eta: 7:19:25, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4469, decode.acc_seg: 66.6021, aux.loss_ce: 0.1967, aux.acc_seg: 65.6378, loss: 0.6436 2022-06-18 12:38:21,207 - mmseg - INFO - Iter [49400/160000] lr: 4.258e-05, eta: 7:19:12, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4250, decode.acc_seg: 66.9432, aux.loss_ce: 0.1890, aux.acc_seg: 65.8463, loss: 0.6140 2022-06-18 12:38:32,732 - mmseg - INFO - Iter [49450/160000] lr: 4.256e-05, eta: 7:18:59, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4619, decode.acc_seg: 66.1351, aux.loss_ce: 0.2050, aux.acc_seg: 65.0151, loss: 0.6669 2022-06-18 12:38:43,914 - mmseg - INFO - Iter [49500/160000] lr: 4.254e-05, eta: 7:18:46, time: 0.224, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4571, decode.acc_seg: 67.8776, aux.loss_ce: 0.2019, aux.acc_seg: 66.8473, loss: 0.6590 2022-06-18 12:38:55,891 - mmseg - INFO - Iter [49550/160000] lr: 4.252e-05, eta: 7:18:34, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4546, decode.acc_seg: 65.7355, aux.loss_ce: 0.1987, aux.acc_seg: 64.9508, loss: 0.6533 2022-06-18 12:39:07,557 - mmseg - INFO - Iter [49600/160000] lr: 4.251e-05, eta: 7:18:22, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4524, decode.acc_seg: 67.7948, aux.loss_ce: 0.1972, aux.acc_seg: 66.9511, loss: 0.6497 2022-06-18 12:39:19,269 - mmseg - INFO - Iter [49650/160000] lr: 4.249e-05, eta: 7:18:09, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4315, decode.acc_seg: 66.9701, aux.loss_ce: 0.1909, aux.acc_seg: 65.9195, loss: 0.6224 2022-06-18 12:39:30,853 - mmseg - INFO - Iter [49700/160000] lr: 4.247e-05, eta: 7:17:57, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4737, decode.acc_seg: 66.8039, aux.loss_ce: 0.2076, aux.acc_seg: 65.9530, loss: 0.6813 2022-06-18 12:39:42,642 - mmseg - INFO - Iter [49750/160000] lr: 4.245e-05, eta: 7:17:44, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4804, decode.acc_seg: 65.7910, aux.loss_ce: 0.2110, aux.acc_seg: 64.8471, loss: 0.6914 2022-06-18 12:39:54,450 - mmseg - INFO - Iter [49800/160000] lr: 4.243e-05, eta: 7:17:32, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4581, decode.acc_seg: 66.5968, aux.loss_ce: 0.1981, aux.acc_seg: 65.6513, loss: 0.6562 2022-06-18 12:40:06,322 - mmseg - INFO - Iter [49850/160000] lr: 4.241e-05, eta: 7:17:20, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5007, decode.acc_seg: 65.4673, aux.loss_ce: 0.2176, aux.acc_seg: 64.6535, loss: 0.7183 2022-06-18 12:40:18,107 - mmseg - INFO - Iter [49900/160000] lr: 4.239e-05, eta: 7:17:08, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4507, decode.acc_seg: 67.0905, aux.loss_ce: 0.1964, aux.acc_seg: 66.1726, loss: 0.6470 2022-06-18 12:40:29,876 - mmseg - INFO - Iter [49950/160000] lr: 4.237e-05, eta: 7:16:56, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4365, decode.acc_seg: 66.4197, aux.loss_ce: 0.1930, aux.acc_seg: 65.4298, loss: 0.6295 2022-06-18 12:40:41,457 - mmseg - INFO - Saving checkpoint at 50000 iterations 2022-06-18 12:40:42,148 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 12:40:42,148 - mmseg - INFO - Iter [50000/160000] lr: 4.235e-05, eta: 7:16:45, time: 0.245, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4664, decode.acc_seg: 67.2940, aux.loss_ce: 0.2056, aux.acc_seg: 66.2768, loss: 0.6720 2022-06-18 12:40:53,943 - mmseg - INFO - Iter [50050/160000] lr: 4.233e-05, eta: 7:16:33, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4726, decode.acc_seg: 66.5161, aux.loss_ce: 0.2078, aux.acc_seg: 65.4807, loss: 0.6804 2022-06-18 12:41:05,679 - mmseg - INFO - Iter [50100/160000] lr: 4.231e-05, eta: 7:16:20, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4555, decode.acc_seg: 68.0136, aux.loss_ce: 0.2024, aux.acc_seg: 66.9346, loss: 0.6579 2022-06-18 12:41:17,285 - mmseg - INFO - Iter [50150/160000] lr: 4.229e-05, eta: 7:16:08, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4632, decode.acc_seg: 67.1186, aux.loss_ce: 0.2048, aux.acc_seg: 66.1993, loss: 0.6679 2022-06-18 12:41:28,845 - mmseg - INFO - Iter [50200/160000] lr: 4.227e-05, eta: 7:15:55, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4374, decode.acc_seg: 66.7271, aux.loss_ce: 0.1908, aux.acc_seg: 65.8201, loss: 0.6283 2022-06-18 12:41:40,471 - mmseg - INFO - Iter [50250/160000] lr: 4.225e-05, eta: 7:15:43, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4739, decode.acc_seg: 65.9103, aux.loss_ce: 0.2070, aux.acc_seg: 65.1654, loss: 0.6808 2022-06-18 12:41:51,898 - mmseg - INFO - Iter [50300/160000] lr: 4.224e-05, eta: 7:15:30, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4501, decode.acc_seg: 65.8226, aux.loss_ce: 0.1998, aux.acc_seg: 64.8621, loss: 0.6499 2022-06-18 12:42:03,546 - mmseg - INFO - Iter [50350/160000] lr: 4.222e-05, eta: 7:15:17, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4931, decode.acc_seg: 66.1936, aux.loss_ce: 0.2181, aux.acc_seg: 64.9308, loss: 0.7112 2022-06-18 12:42:15,183 - mmseg - INFO - Iter [50400/160000] lr: 4.220e-05, eta: 7:15:05, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4496, decode.acc_seg: 66.5231, aux.loss_ce: 0.1982, aux.acc_seg: 65.4353, loss: 0.6478 2022-06-18 12:42:26,915 - mmseg - INFO - Iter [50450/160000] lr: 4.218e-05, eta: 7:14:52, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4685, decode.acc_seg: 66.3286, aux.loss_ce: 0.2054, aux.acc_seg: 65.4411, loss: 0.6739 2022-06-18 12:42:38,525 - mmseg - INFO - Iter [50500/160000] lr: 4.216e-05, eta: 7:14:40, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.5009, decode.acc_seg: 65.4825, aux.loss_ce: 0.2168, aux.acc_seg: 64.5079, loss: 0.7177 2022-06-18 12:42:52,308 - mmseg - INFO - Iter [50550/160000] lr: 4.214e-05, eta: 7:14:32, time: 0.276, data_time: 0.050, memory: 36048, decode.loss_ce: 0.4685, decode.acc_seg: 67.7633, aux.loss_ce: 0.2081, aux.acc_seg: 66.6586, loss: 0.6766 2022-06-18 12:43:03,803 - mmseg - INFO - Iter [50600/160000] lr: 4.212e-05, eta: 7:14:19, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4500, decode.acc_seg: 67.9538, aux.loss_ce: 0.1998, aux.acc_seg: 66.8941, loss: 0.6498 2022-06-18 12:43:15,637 - mmseg - INFO - Iter [50650/160000] lr: 4.210e-05, eta: 7:14:07, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4302, decode.acc_seg: 67.9198, aux.loss_ce: 0.1920, aux.acc_seg: 66.8164, loss: 0.6222 2022-06-18 12:43:27,296 - mmseg - INFO - Iter [50700/160000] lr: 4.208e-05, eta: 7:13:55, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4533, decode.acc_seg: 66.0186, aux.loss_ce: 0.2000, aux.acc_seg: 65.1485, loss: 0.6533 2022-06-18 12:43:38,974 - mmseg - INFO - Iter [50750/160000] lr: 4.206e-05, eta: 7:13:42, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4470, decode.acc_seg: 66.4152, aux.loss_ce: 0.1974, aux.acc_seg: 65.3342, loss: 0.6444 2022-06-18 12:43:50,565 - mmseg - INFO - Iter [50800/160000] lr: 4.204e-05, eta: 7:13:30, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4508, decode.acc_seg: 67.6311, aux.loss_ce: 0.1983, aux.acc_seg: 66.6174, loss: 0.6491 2022-06-18 12:44:02,110 - mmseg - INFO - Iter [50850/160000] lr: 4.202e-05, eta: 7:13:17, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4668, decode.acc_seg: 66.1663, aux.loss_ce: 0.2055, aux.acc_seg: 65.1769, loss: 0.6723 2022-06-18 12:44:13,848 - mmseg - INFO - Iter [50900/160000] lr: 4.200e-05, eta: 7:13:05, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4508, decode.acc_seg: 66.3409, aux.loss_ce: 0.2011, aux.acc_seg: 65.1510, loss: 0.6519 2022-06-18 12:44:25,500 - mmseg - INFO - Iter [50950/160000] lr: 4.199e-05, eta: 7:12:52, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4431, decode.acc_seg: 64.7992, aux.loss_ce: 0.1946, aux.acc_seg: 63.9256, loss: 0.6376 2022-06-18 12:44:37,405 - mmseg - INFO - Saving checkpoint at 51000 iterations 2022-06-18 12:44:38,088 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 12:44:38,089 - mmseg - INFO - Iter [51000/160000] lr: 4.197e-05, eta: 7:12:42, time: 0.252, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4583, decode.acc_seg: 67.2115, aux.loss_ce: 0.2030, aux.acc_seg: 66.2361, loss: 0.6613 2022-06-18 12:44:49,942 - mmseg - INFO - Iter [51050/160000] lr: 4.195e-05, eta: 7:12:30, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4896, decode.acc_seg: 65.5164, aux.loss_ce: 0.2130, aux.acc_seg: 64.6690, loss: 0.7026 2022-06-18 12:45:01,763 - mmseg - INFO - Iter [51100/160000] lr: 4.193e-05, eta: 7:12:18, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4268, decode.acc_seg: 65.2319, aux.loss_ce: 0.1889, aux.acc_seg: 64.3082, loss: 0.6157 2022-06-18 12:45:13,507 - mmseg - INFO - Iter [51150/160000] lr: 4.191e-05, eta: 7:12:05, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4528, decode.acc_seg: 66.5621, aux.loss_ce: 0.2000, aux.acc_seg: 65.6685, loss: 0.6528 2022-06-18 12:45:25,020 - mmseg - INFO - Iter [51200/160000] lr: 4.189e-05, eta: 7:11:53, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4586, decode.acc_seg: 64.7269, aux.loss_ce: 0.2019, aux.acc_seg: 63.8276, loss: 0.6605 2022-06-18 12:45:36,797 - mmseg - INFO - Iter [51250/160000] lr: 4.187e-05, eta: 7:11:40, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4815, decode.acc_seg: 66.5054, aux.loss_ce: 0.2109, aux.acc_seg: 65.4594, loss: 0.6924 2022-06-18 12:45:48,492 - mmseg - INFO - Iter [51300/160000] lr: 4.185e-05, eta: 7:11:28, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4807, decode.acc_seg: 65.3398, aux.loss_ce: 0.2100, aux.acc_seg: 64.4136, loss: 0.6907 2022-06-18 12:46:00,109 - mmseg - INFO - Iter [51350/160000] lr: 4.183e-05, eta: 7:11:15, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4384, decode.acc_seg: 68.3212, aux.loss_ce: 0.1920, aux.acc_seg: 67.4690, loss: 0.6304 2022-06-18 12:46:11,570 - mmseg - INFO - Iter [51400/160000] lr: 4.181e-05, eta: 7:11:03, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4338, decode.acc_seg: 67.1966, aux.loss_ce: 0.1916, aux.acc_seg: 66.0761, loss: 0.6254 2022-06-18 12:46:23,073 - mmseg - INFO - Iter [51450/160000] lr: 4.179e-05, eta: 7:10:50, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4425, decode.acc_seg: 67.8876, aux.loss_ce: 0.1936, aux.acc_seg: 66.9250, loss: 0.6362 2022-06-18 12:46:34,726 - mmseg - INFO - Iter [51500/160000] lr: 4.177e-05, eta: 7:10:37, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4758, decode.acc_seg: 65.6085, aux.loss_ce: 0.2114, aux.acc_seg: 64.3718, loss: 0.6872 2022-06-18 12:46:46,489 - mmseg - INFO - Iter [51550/160000] lr: 4.175e-05, eta: 7:10:25, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4320, decode.acc_seg: 66.0815, aux.loss_ce: 0.1876, aux.acc_seg: 65.2621, loss: 0.6196 2022-06-18 12:46:58,098 - mmseg - INFO - Iter [51600/160000] lr: 4.174e-05, eta: 7:10:13, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4684, decode.acc_seg: 68.7745, aux.loss_ce: 0.2064, aux.acc_seg: 67.6496, loss: 0.6748 2022-06-18 12:47:09,788 - mmseg - INFO - Iter [51650/160000] lr: 4.172e-05, eta: 7:10:00, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4734, decode.acc_seg: 66.6929, aux.loss_ce: 0.2086, aux.acc_seg: 65.5436, loss: 0.6821 2022-06-18 12:47:21,586 - mmseg - INFO - Iter [51700/160000] lr: 4.170e-05, eta: 7:09:48, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4434, decode.acc_seg: 66.0843, aux.loss_ce: 0.1939, aux.acc_seg: 65.2303, loss: 0.6373 2022-06-18 12:47:33,127 - mmseg - INFO - Iter [51750/160000] lr: 4.168e-05, eta: 7:09:35, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4717, decode.acc_seg: 67.1403, aux.loss_ce: 0.2097, aux.acc_seg: 66.0400, loss: 0.6813 2022-06-18 12:47:47,371 - mmseg - INFO - Iter [51800/160000] lr: 4.166e-05, eta: 7:09:28, time: 0.285, data_time: 0.049, memory: 36048, decode.loss_ce: 0.4815, decode.acc_seg: 66.2057, aux.loss_ce: 0.2109, aux.acc_seg: 65.2746, loss: 0.6924 2022-06-18 12:47:58,886 - mmseg - INFO - Iter [51850/160000] lr: 4.164e-05, eta: 7:09:16, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4227, decode.acc_seg: 67.3490, aux.loss_ce: 0.1866, aux.acc_seg: 66.3109, loss: 0.6093 2022-06-18 12:48:10,592 - mmseg - INFO - Iter [51900/160000] lr: 4.162e-05, eta: 7:09:03, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4568, decode.acc_seg: 65.1331, aux.loss_ce: 0.2003, aux.acc_seg: 64.2439, loss: 0.6571 2022-06-18 12:48:22,132 - mmseg - INFO - Iter [51950/160000] lr: 4.160e-05, eta: 7:08:51, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4453, decode.acc_seg: 67.2499, aux.loss_ce: 0.1952, aux.acc_seg: 66.2258, loss: 0.6405 2022-06-18 12:48:33,871 - mmseg - INFO - Saving checkpoint at 52000 iterations 2022-06-18 12:48:34,555 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 12:48:34,556 - mmseg - INFO - Iter [52000/160000] lr: 4.158e-05, eta: 7:08:40, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4147, decode.acc_seg: 67.8579, aux.loss_ce: 0.1822, aux.acc_seg: 66.9054, loss: 0.5969 2022-06-18 12:48:46,447 - mmseg - INFO - Iter [52050/160000] lr: 4.156e-05, eta: 7:08:28, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4503, decode.acc_seg: 67.5341, aux.loss_ce: 0.1993, aux.acc_seg: 66.3636, loss: 0.6495 2022-06-18 12:48:57,842 - mmseg - INFO - Iter [52100/160000] lr: 4.154e-05, eta: 7:08:15, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4542, decode.acc_seg: 65.9069, aux.loss_ce: 0.2034, aux.acc_seg: 64.7418, loss: 0.6576 2022-06-18 12:49:09,538 - mmseg - INFO - Iter [52150/160000] lr: 4.152e-05, eta: 7:08:03, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4302, decode.acc_seg: 67.5165, aux.loss_ce: 0.1906, aux.acc_seg: 66.4669, loss: 0.6209 2022-06-18 12:49:21,110 - mmseg - INFO - Iter [52200/160000] lr: 4.150e-05, eta: 7:07:50, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4338, decode.acc_seg: 66.7203, aux.loss_ce: 0.1938, aux.acc_seg: 65.3516, loss: 0.6276 2022-06-18 12:49:32,769 - mmseg - INFO - Iter [52250/160000] lr: 4.148e-05, eta: 7:07:38, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4449, decode.acc_seg: 67.6147, aux.loss_ce: 0.1968, aux.acc_seg: 66.5317, loss: 0.6417 2022-06-18 12:49:44,421 - mmseg - INFO - Iter [52300/160000] lr: 4.147e-05, eta: 7:07:25, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4958, decode.acc_seg: 65.5041, aux.loss_ce: 0.2148, aux.acc_seg: 64.5299, loss: 0.7106 2022-06-18 12:49:56,072 - mmseg - INFO - Iter [52350/160000] lr: 4.145e-05, eta: 7:07:13, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4673, decode.acc_seg: 67.5698, aux.loss_ce: 0.2054, aux.acc_seg: 66.7365, loss: 0.6726 2022-06-18 12:50:07,750 - mmseg - INFO - Iter [52400/160000] lr: 4.143e-05, eta: 7:07:00, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4302, decode.acc_seg: 67.7604, aux.loss_ce: 0.1941, aux.acc_seg: 66.6682, loss: 0.6243 2022-06-18 12:50:19,470 - mmseg - INFO - Iter [52450/160000] lr: 4.141e-05, eta: 7:06:48, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4701, decode.acc_seg: 67.5686, aux.loss_ce: 0.2082, aux.acc_seg: 66.5701, loss: 0.6783 2022-06-18 12:50:31,142 - mmseg - INFO - Iter [52500/160000] lr: 4.139e-05, eta: 7:06:36, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4413, decode.acc_seg: 65.9227, aux.loss_ce: 0.1925, aux.acc_seg: 65.0164, loss: 0.6338 2022-06-18 12:50:43,139 - mmseg - INFO - Iter [52550/160000] lr: 4.137e-05, eta: 7:06:24, time: 0.241, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4522, decode.acc_seg: 66.9191, aux.loss_ce: 0.2001, aux.acc_seg: 65.7125, loss: 0.6523 2022-06-18 12:50:54,668 - mmseg - INFO - Iter [52600/160000] lr: 4.135e-05, eta: 7:06:11, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4424, decode.acc_seg: 66.3032, aux.loss_ce: 0.1917, aux.acc_seg: 65.6070, loss: 0.6340 2022-06-18 12:51:06,421 - mmseg - INFO - Iter [52650/160000] lr: 4.133e-05, eta: 7:05:59, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4497, decode.acc_seg: 67.1909, aux.loss_ce: 0.2020, aux.acc_seg: 66.2861, loss: 0.6517 2022-06-18 12:51:18,023 - mmseg - INFO - Iter [52700/160000] lr: 4.131e-05, eta: 7:05:47, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4297, decode.acc_seg: 66.2089, aux.loss_ce: 0.1918, aux.acc_seg: 65.0210, loss: 0.6215 2022-06-18 12:51:29,923 - mmseg - INFO - Iter [52750/160000] lr: 4.129e-05, eta: 7:05:35, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4372, decode.acc_seg: 65.9608, aux.loss_ce: 0.1945, aux.acc_seg: 64.9227, loss: 0.6317 2022-06-18 12:51:41,712 - mmseg - INFO - Iter [52800/160000] lr: 4.127e-05, eta: 7:05:23, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4943, decode.acc_seg: 65.7735, aux.loss_ce: 0.2175, aux.acc_seg: 64.8089, loss: 0.7118 2022-06-18 12:51:53,302 - mmseg - INFO - Iter [52850/160000] lr: 4.125e-05, eta: 7:05:10, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4691, decode.acc_seg: 66.6465, aux.loss_ce: 0.2072, aux.acc_seg: 65.6419, loss: 0.6763 2022-06-18 12:52:04,872 - mmseg - INFO - Iter [52900/160000] lr: 4.123e-05, eta: 7:04:57, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4532, decode.acc_seg: 66.8544, aux.loss_ce: 0.2004, aux.acc_seg: 65.8958, loss: 0.6536 2022-06-18 12:52:16,488 - mmseg - INFO - Iter [52950/160000] lr: 4.122e-05, eta: 7:04:45, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4508, decode.acc_seg: 66.6351, aux.loss_ce: 0.1993, aux.acc_seg: 65.6997, loss: 0.6500 2022-06-18 12:52:28,243 - mmseg - INFO - Saving checkpoint at 53000 iterations 2022-06-18 12:52:28,924 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 12:52:28,924 - mmseg - INFO - Iter [53000/160000] lr: 4.120e-05, eta: 7:04:34, time: 0.249, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4381, decode.acc_seg: 67.1365, aux.loss_ce: 0.1908, aux.acc_seg: 66.3511, loss: 0.6289 2022-06-18 12:52:42,865 - mmseg - INFO - Iter [53050/160000] lr: 4.118e-05, eta: 7:04:26, time: 0.278, data_time: 0.047, memory: 36048, decode.loss_ce: 0.4643, decode.acc_seg: 66.7020, aux.loss_ce: 0.2080, aux.acc_seg: 65.4601, loss: 0.6722 2022-06-18 12:52:54,446 - mmseg - INFO - Iter [53100/160000] lr: 4.116e-05, eta: 7:04:14, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4285, decode.acc_seg: 68.3615, aux.loss_ce: 0.1920, aux.acc_seg: 67.1692, loss: 0.6205 2022-06-18 12:53:06,160 - mmseg - INFO - Iter [53150/160000] lr: 4.114e-05, eta: 7:04:01, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4294, decode.acc_seg: 66.7234, aux.loss_ce: 0.1885, aux.acc_seg: 65.8998, loss: 0.6179 2022-06-18 12:53:17,728 - mmseg - INFO - Iter [53200/160000] lr: 4.112e-05, eta: 7:03:49, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4414, decode.acc_seg: 67.9842, aux.loss_ce: 0.1970, aux.acc_seg: 66.7245, loss: 0.6383 2022-06-18 12:53:29,268 - mmseg - INFO - Iter [53250/160000] lr: 4.110e-05, eta: 7:03:36, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4485, decode.acc_seg: 67.5149, aux.loss_ce: 0.2013, aux.acc_seg: 66.3319, loss: 0.6499 2022-06-18 12:53:40,970 - mmseg - INFO - Iter [53300/160000] lr: 4.108e-05, eta: 7:03:24, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4280, decode.acc_seg: 69.1007, aux.loss_ce: 0.1903, aux.acc_seg: 67.8176, loss: 0.6182 2022-06-18 12:53:52,536 - mmseg - INFO - Iter [53350/160000] lr: 4.106e-05, eta: 7:03:11, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4289, decode.acc_seg: 67.1916, aux.loss_ce: 0.1908, aux.acc_seg: 66.1058, loss: 0.6196 2022-06-18 12:54:04,068 - mmseg - INFO - Iter [53400/160000] lr: 4.104e-05, eta: 7:02:59, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4896, decode.acc_seg: 65.7815, aux.loss_ce: 0.2143, aux.acc_seg: 64.7642, loss: 0.7039 2022-06-18 12:54:15,976 - mmseg - INFO - Iter [53450/160000] lr: 4.102e-05, eta: 7:02:47, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4519, decode.acc_seg: 66.6412, aux.loss_ce: 0.1975, aux.acc_seg: 65.7969, loss: 0.6494 2022-06-18 12:54:27,761 - mmseg - INFO - Iter [53500/160000] lr: 4.100e-05, eta: 7:02:35, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4741, decode.acc_seg: 65.6646, aux.loss_ce: 0.2072, aux.acc_seg: 64.6800, loss: 0.6814 2022-06-18 12:54:39,603 - mmseg - INFO - Iter [53550/160000] lr: 4.098e-05, eta: 7:02:23, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4583, decode.acc_seg: 66.4736, aux.loss_ce: 0.1992, aux.acc_seg: 65.7370, loss: 0.6575 2022-06-18 12:54:51,172 - mmseg - INFO - Iter [53600/160000] lr: 4.097e-05, eta: 7:02:10, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4507, decode.acc_seg: 68.1948, aux.loss_ce: 0.2007, aux.acc_seg: 67.0846, loss: 0.6514 2022-06-18 12:55:02,547 - mmseg - INFO - Iter [53650/160000] lr: 4.095e-05, eta: 7:01:57, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4427, decode.acc_seg: 68.2257, aux.loss_ce: 0.1973, aux.acc_seg: 67.0571, loss: 0.6400 2022-06-18 12:55:14,184 - mmseg - INFO - Iter [53700/160000] lr: 4.093e-05, eta: 7:01:45, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4502, decode.acc_seg: 66.7840, aux.loss_ce: 0.1986, aux.acc_seg: 65.8045, loss: 0.6488 2022-06-18 12:55:25,958 - mmseg - INFO - Iter [53750/160000] lr: 4.091e-05, eta: 7:01:33, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4356, decode.acc_seg: 66.7401, aux.loss_ce: 0.1934, aux.acc_seg: 65.7196, loss: 0.6290 2022-06-18 12:55:37,493 - mmseg - INFO - Iter [53800/160000] lr: 4.089e-05, eta: 7:01:20, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4298, decode.acc_seg: 66.6278, aux.loss_ce: 0.1892, aux.acc_seg: 65.5804, loss: 0.6189 2022-06-18 12:55:49,235 - mmseg - INFO - Iter [53850/160000] lr: 4.087e-05, eta: 7:01:08, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4715, decode.acc_seg: 66.3781, aux.loss_ce: 0.2068, aux.acc_seg: 65.4194, loss: 0.6782 2022-06-18 12:56:01,097 - mmseg - INFO - Iter [53900/160000] lr: 4.085e-05, eta: 7:00:56, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4575, decode.acc_seg: 67.2509, aux.loss_ce: 0.2018, aux.acc_seg: 66.3012, loss: 0.6593 2022-06-18 12:56:12,904 - mmseg - INFO - Iter [53950/160000] lr: 4.083e-05, eta: 7:00:44, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4169, decode.acc_seg: 66.1685, aux.loss_ce: 0.1856, aux.acc_seg: 64.9963, loss: 0.6025 2022-06-18 12:56:24,797 - mmseg - INFO - Saving checkpoint at 54000 iterations 2022-06-18 12:56:25,497 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 12:56:25,497 - mmseg - INFO - Iter [54000/160000] lr: 4.081e-05, eta: 7:00:33, time: 0.252, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4399, decode.acc_seg: 66.2556, aux.loss_ce: 0.1941, aux.acc_seg: 65.2696, loss: 0.6340 2022-06-18 12:56:37,031 - mmseg - INFO - Iter [54050/160000] lr: 4.079e-05, eta: 7:00:20, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4488, decode.acc_seg: 66.1322, aux.loss_ce: 0.1992, aux.acc_seg: 65.1338, loss: 0.6480 2022-06-18 12:56:48,676 - mmseg - INFO - Iter [54100/160000] lr: 4.077e-05, eta: 7:00:08, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4453, decode.acc_seg: 66.0534, aux.loss_ce: 0.1964, aux.acc_seg: 65.2656, loss: 0.6417 2022-06-18 12:57:00,512 - mmseg - INFO - Iter [54150/160000] lr: 4.075e-05, eta: 6:59:56, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4225, decode.acc_seg: 66.8577, aux.loss_ce: 0.1845, aux.acc_seg: 65.9896, loss: 0.6070 2022-06-18 12:57:12,171 - mmseg - INFO - Iter [54200/160000] lr: 4.073e-05, eta: 6:59:44, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4393, decode.acc_seg: 65.8724, aux.loss_ce: 0.1948, aux.acc_seg: 64.8335, loss: 0.6341 2022-06-18 12:57:23,765 - mmseg - INFO - Iter [54250/160000] lr: 4.071e-05, eta: 6:59:31, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4324, decode.acc_seg: 67.6508, aux.loss_ce: 0.1932, aux.acc_seg: 66.4092, loss: 0.6256 2022-06-18 12:57:35,349 - mmseg - INFO - Iter [54300/160000] lr: 4.070e-05, eta: 6:59:19, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4641, decode.acc_seg: 67.8426, aux.loss_ce: 0.2057, aux.acc_seg: 66.7366, loss: 0.6697 2022-06-18 12:57:49,168 - mmseg - INFO - Iter [54350/160000] lr: 4.068e-05, eta: 6:59:10, time: 0.277, data_time: 0.049, memory: 36048, decode.loss_ce: 0.4466, decode.acc_seg: 67.9767, aux.loss_ce: 0.1974, aux.acc_seg: 67.1571, loss: 0.6440 2022-06-18 12:58:00,802 - mmseg - INFO - Iter [54400/160000] lr: 4.066e-05, eta: 6:58:58, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4398, decode.acc_seg: 67.1149, aux.loss_ce: 0.1966, aux.acc_seg: 65.9706, loss: 0.6364 2022-06-18 12:58:12,411 - mmseg - INFO - Iter [54450/160000] lr: 4.064e-05, eta: 6:58:46, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4493, decode.acc_seg: 67.6984, aux.loss_ce: 0.2006, aux.acc_seg: 66.7376, loss: 0.6499 2022-06-18 12:58:24,027 - mmseg - INFO - Iter [54500/160000] lr: 4.062e-05, eta: 6:58:33, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4050, decode.acc_seg: 67.3871, aux.loss_ce: 0.1802, aux.acc_seg: 66.4209, loss: 0.5853 2022-06-18 12:58:35,617 - mmseg - INFO - Iter [54550/160000] lr: 4.060e-05, eta: 6:58:21, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4366, decode.acc_seg: 66.9061, aux.loss_ce: 0.1927, aux.acc_seg: 65.8501, loss: 0.6292 2022-06-18 12:58:47,251 - mmseg - INFO - Iter [54600/160000] lr: 4.058e-05, eta: 6:58:08, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4396, decode.acc_seg: 66.2177, aux.loss_ce: 0.1935, aux.acc_seg: 65.3896, loss: 0.6331 2022-06-18 12:58:58,862 - mmseg - INFO - Iter [54650/160000] lr: 4.056e-05, eta: 6:57:56, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4331, decode.acc_seg: 66.8782, aux.loss_ce: 0.1945, aux.acc_seg: 65.6314, loss: 0.6276 2022-06-18 12:59:10,478 - mmseg - INFO - Iter [54700/160000] lr: 4.054e-05, eta: 6:57:43, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4482, decode.acc_seg: 67.2454, aux.loss_ce: 0.1964, aux.acc_seg: 66.2344, loss: 0.6446 2022-06-18 12:59:22,046 - mmseg - INFO - Iter [54750/160000] lr: 4.052e-05, eta: 6:57:31, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4395, decode.acc_seg: 66.4759, aux.loss_ce: 0.1940, aux.acc_seg: 65.3827, loss: 0.6335 2022-06-18 12:59:33,498 - mmseg - INFO - Iter [54800/160000] lr: 4.050e-05, eta: 6:57:18, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4469, decode.acc_seg: 67.7871, aux.loss_ce: 0.1950, aux.acc_seg: 66.7780, loss: 0.6419 2022-06-18 12:59:44,879 - mmseg - INFO - Iter [54850/160000] lr: 4.048e-05, eta: 6:57:05, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4393, decode.acc_seg: 67.1393, aux.loss_ce: 0.1957, aux.acc_seg: 65.9100, loss: 0.6350 2022-06-18 12:59:56,347 - mmseg - INFO - Iter [54900/160000] lr: 4.046e-05, eta: 6:56:52, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4745, decode.acc_seg: 65.2877, aux.loss_ce: 0.2088, aux.acc_seg: 64.2388, loss: 0.6833 2022-06-18 13:00:07,963 - mmseg - INFO - Iter [54950/160000] lr: 4.045e-05, eta: 6:56:40, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4328, decode.acc_seg: 67.6438, aux.loss_ce: 0.1903, aux.acc_seg: 66.7364, loss: 0.6231 2022-06-18 13:00:19,732 - mmseg - INFO - Saving checkpoint at 55000 iterations 2022-06-18 13:00:20,420 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 13:00:20,420 - mmseg - INFO - Iter [55000/160000] lr: 4.043e-05, eta: 6:56:29, time: 0.249, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4484, decode.acc_seg: 67.8006, aux.loss_ce: 0.1980, aux.acc_seg: 66.7813, loss: 0.6464 2022-06-18 13:00:31,879 - mmseg - INFO - Iter [55050/160000] lr: 4.041e-05, eta: 6:56:16, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4531, decode.acc_seg: 67.1522, aux.loss_ce: 0.2007, aux.acc_seg: 66.0295, loss: 0.6538 2022-06-18 13:00:43,470 - mmseg - INFO - Iter [55100/160000] lr: 4.039e-05, eta: 6:56:04, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4517, decode.acc_seg: 66.8164, aux.loss_ce: 0.1978, aux.acc_seg: 66.0773, loss: 0.6495 2022-06-18 13:00:55,349 - mmseg - INFO - Iter [55150/160000] lr: 4.037e-05, eta: 6:55:52, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4082, decode.acc_seg: 67.6393, aux.loss_ce: 0.1820, aux.acc_seg: 66.5077, loss: 0.5902 2022-06-18 13:01:07,068 - mmseg - INFO - Iter [55200/160000] lr: 4.035e-05, eta: 6:55:40, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4432, decode.acc_seg: 66.9561, aux.loss_ce: 0.1969, aux.acc_seg: 66.0158, loss: 0.6401 2022-06-18 13:01:18,593 - mmseg - INFO - Iter [55250/160000] lr: 4.033e-05, eta: 6:55:27, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4454, decode.acc_seg: 67.4357, aux.loss_ce: 0.1991, aux.acc_seg: 66.2710, loss: 0.6445 2022-06-18 13:01:30,385 - mmseg - INFO - Iter [55300/160000] lr: 4.031e-05, eta: 6:55:15, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4665, decode.acc_seg: 65.6103, aux.loss_ce: 0.2025, aux.acc_seg: 64.6788, loss: 0.6690 2022-06-18 13:01:41,788 - mmseg - INFO - Iter [55350/160000] lr: 4.029e-05, eta: 6:55:02, time: 0.228, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4562, decode.acc_seg: 66.7679, aux.loss_ce: 0.2008, aux.acc_seg: 65.8044, loss: 0.6571 2022-06-18 13:01:53,594 - mmseg - INFO - Iter [55400/160000] lr: 4.027e-05, eta: 6:54:50, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4369, decode.acc_seg: 68.2626, aux.loss_ce: 0.1918, aux.acc_seg: 67.2311, loss: 0.6287 2022-06-18 13:02:05,085 - mmseg - INFO - Iter [55450/160000] lr: 4.025e-05, eta: 6:54:37, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4377, decode.acc_seg: 68.5050, aux.loss_ce: 0.1940, aux.acc_seg: 67.3579, loss: 0.6317 2022-06-18 13:02:16,825 - mmseg - INFO - Iter [55500/160000] lr: 4.023e-05, eta: 6:54:25, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4514, decode.acc_seg: 67.8159, aux.loss_ce: 0.1993, aux.acc_seg: 66.8254, loss: 0.6506 2022-06-18 13:02:28,286 - mmseg - INFO - Iter [55550/160000] lr: 4.021e-05, eta: 6:54:12, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4404, decode.acc_seg: 67.1505, aux.loss_ce: 0.1982, aux.acc_seg: 65.9958, loss: 0.6386 2022-06-18 13:02:41,891 - mmseg - INFO - Iter [55600/160000] lr: 4.020e-05, eta: 6:54:04, time: 0.272, data_time: 0.050, memory: 36048, decode.loss_ce: 0.4482, decode.acc_seg: 67.0500, aux.loss_ce: 0.2006, aux.acc_seg: 65.9523, loss: 0.6489 2022-06-18 13:02:53,541 - mmseg - INFO - Iter [55650/160000] lr: 4.018e-05, eta: 6:53:51, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4535, decode.acc_seg: 67.3871, aux.loss_ce: 0.2031, aux.acc_seg: 66.2229, loss: 0.6566 2022-06-18 13:03:05,066 - mmseg - INFO - Iter [55700/160000] lr: 4.016e-05, eta: 6:53:39, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4136, decode.acc_seg: 69.7104, aux.loss_ce: 0.1842, aux.acc_seg: 68.6981, loss: 0.5978 2022-06-18 13:03:16,677 - mmseg - INFO - Iter [55750/160000] lr: 4.014e-05, eta: 6:53:26, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4200, decode.acc_seg: 66.5079, aux.loss_ce: 0.1866, aux.acc_seg: 65.6451, loss: 0.6065 2022-06-18 13:03:28,408 - mmseg - INFO - Iter [55800/160000] lr: 4.012e-05, eta: 6:53:14, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4471, decode.acc_seg: 66.8890, aux.loss_ce: 0.1957, aux.acc_seg: 66.2501, loss: 0.6429 2022-06-18 13:03:40,421 - mmseg - INFO - Iter [55850/160000] lr: 4.010e-05, eta: 6:53:02, time: 0.240, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4243, decode.acc_seg: 66.3606, aux.loss_ce: 0.1879, aux.acc_seg: 65.1736, loss: 0.6122 2022-06-18 13:03:52,373 - mmseg - INFO - Iter [55900/160000] lr: 4.008e-05, eta: 6:52:51, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4688, decode.acc_seg: 66.9116, aux.loss_ce: 0.2047, aux.acc_seg: 65.9247, loss: 0.6736 2022-06-18 13:04:04,202 - mmseg - INFO - Iter [55950/160000] lr: 4.006e-05, eta: 6:52:39, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4478, decode.acc_seg: 67.4867, aux.loss_ce: 0.1990, aux.acc_seg: 66.2821, loss: 0.6468 2022-06-18 13:04:15,888 - mmseg - INFO - Saving checkpoint at 56000 iterations 2022-06-18 13:04:16,566 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 13:04:16,566 - mmseg - INFO - Iter [56000/160000] lr: 4.004e-05, eta: 6:52:28, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4463, decode.acc_seg: 66.2309, aux.loss_ce: 0.1994, aux.acc_seg: 64.8848, loss: 0.6457 2022-06-18 13:04:28,157 - mmseg - INFO - Iter [56050/160000] lr: 4.002e-05, eta: 6:52:15, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4449, decode.acc_seg: 68.5498, aux.loss_ce: 0.1984, aux.acc_seg: 67.3558, loss: 0.6434 2022-06-18 13:04:39,722 - mmseg - INFO - Iter [56100/160000] lr: 4.000e-05, eta: 6:52:03, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4210, decode.acc_seg: 67.6672, aux.loss_ce: 0.1881, aux.acc_seg: 66.6378, loss: 0.6090 2022-06-18 13:04:51,184 - mmseg - INFO - Iter [56150/160000] lr: 3.998e-05, eta: 6:51:50, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4272, decode.acc_seg: 66.0207, aux.loss_ce: 0.1916, aux.acc_seg: 64.7761, loss: 0.6188 2022-06-18 13:05:03,090 - mmseg - INFO - Iter [56200/160000] lr: 3.996e-05, eta: 6:51:38, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4295, decode.acc_seg: 68.4507, aux.loss_ce: 0.1900, aux.acc_seg: 67.4853, loss: 0.6195 2022-06-18 13:05:14,995 - mmseg - INFO - Iter [56250/160000] lr: 3.994e-05, eta: 6:51:26, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4288, decode.acc_seg: 68.4845, aux.loss_ce: 0.1907, aux.acc_seg: 67.3823, loss: 0.6195 2022-06-18 13:05:26,684 - mmseg - INFO - Iter [56300/160000] lr: 3.993e-05, eta: 6:51:14, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4447, decode.acc_seg: 67.6725, aux.loss_ce: 0.1974, aux.acc_seg: 66.6206, loss: 0.6421 2022-06-18 13:05:38,263 - mmseg - INFO - Iter [56350/160000] lr: 3.991e-05, eta: 6:51:01, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4408, decode.acc_seg: 68.9144, aux.loss_ce: 0.1954, aux.acc_seg: 67.9186, loss: 0.6361 2022-06-18 13:05:50,351 - mmseg - INFO - Iter [56400/160000] lr: 3.989e-05, eta: 6:50:50, time: 0.242, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4500, decode.acc_seg: 65.7592, aux.loss_ce: 0.2011, aux.acc_seg: 64.5022, loss: 0.6511 2022-06-18 13:06:01,883 - mmseg - INFO - Iter [56450/160000] lr: 3.987e-05, eta: 6:50:37, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4592, decode.acc_seg: 67.1007, aux.loss_ce: 0.2018, aux.acc_seg: 66.0668, loss: 0.6610 2022-06-18 13:06:13,429 - mmseg - INFO - Iter [56500/160000] lr: 3.985e-05, eta: 6:50:25, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4348, decode.acc_seg: 68.8471, aux.loss_ce: 0.1967, aux.acc_seg: 67.4723, loss: 0.6315 2022-06-18 13:06:25,141 - mmseg - INFO - Iter [56550/160000] lr: 3.983e-05, eta: 6:50:12, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4351, decode.acc_seg: 67.1324, aux.loss_ce: 0.1932, aux.acc_seg: 65.8990, loss: 0.6283 2022-06-18 13:06:36,840 - mmseg - INFO - Iter [56600/160000] lr: 3.981e-05, eta: 6:50:00, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4517, decode.acc_seg: 67.5079, aux.loss_ce: 0.1987, aux.acc_seg: 66.3765, loss: 0.6504 2022-06-18 13:06:48,634 - mmseg - INFO - Iter [56650/160000] lr: 3.979e-05, eta: 6:49:48, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4287, decode.acc_seg: 68.1449, aux.loss_ce: 0.1886, aux.acc_seg: 67.1357, loss: 0.6172 2022-06-18 13:07:00,313 - mmseg - INFO - Iter [56700/160000] lr: 3.977e-05, eta: 6:49:36, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4289, decode.acc_seg: 68.0829, aux.loss_ce: 0.1947, aux.acc_seg: 66.8239, loss: 0.6236 2022-06-18 13:07:11,980 - mmseg - INFO - Iter [56750/160000] lr: 3.975e-05, eta: 6:49:23, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4514, decode.acc_seg: 66.8686, aux.loss_ce: 0.2001, aux.acc_seg: 65.7769, loss: 0.6514 2022-06-18 13:07:23,812 - mmseg - INFO - Iter [56800/160000] lr: 3.973e-05, eta: 6:49:11, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4524, decode.acc_seg: 65.5453, aux.loss_ce: 0.2000, aux.acc_seg: 64.5673, loss: 0.6524 2022-06-18 13:07:37,527 - mmseg - INFO - Iter [56850/160000] lr: 3.971e-05, eta: 6:49:03, time: 0.274, data_time: 0.050, memory: 36048, decode.loss_ce: 0.4699, decode.acc_seg: 66.1021, aux.loss_ce: 0.2077, aux.acc_seg: 65.1799, loss: 0.6776 2022-06-18 13:07:49,083 - mmseg - INFO - Iter [56900/160000] lr: 3.969e-05, eta: 6:48:50, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4131, decode.acc_seg: 66.7005, aux.loss_ce: 0.1853, aux.acc_seg: 65.5197, loss: 0.5985 2022-06-18 13:08:00,772 - mmseg - INFO - Iter [56950/160000] lr: 3.968e-05, eta: 6:48:38, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3996, decode.acc_seg: 67.8789, aux.loss_ce: 0.1801, aux.acc_seg: 66.7315, loss: 0.5797 2022-06-18 13:08:12,408 - mmseg - INFO - Saving checkpoint at 57000 iterations 2022-06-18 13:08:13,089 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 13:08:13,089 - mmseg - INFO - Iter [57000/160000] lr: 3.966e-05, eta: 6:48:27, time: 0.246, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4156, decode.acc_seg: 68.7244, aux.loss_ce: 0.1824, aux.acc_seg: 67.8408, loss: 0.5979 2022-06-18 13:08:24,730 - mmseg - INFO - Iter [57050/160000] lr: 3.964e-05, eta: 6:48:15, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4049, decode.acc_seg: 68.0938, aux.loss_ce: 0.1794, aux.acc_seg: 67.0707, loss: 0.5843 2022-06-18 13:08:36,434 - mmseg - INFO - Iter [57100/160000] lr: 3.962e-05, eta: 6:48:02, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4356, decode.acc_seg: 66.8812, aux.loss_ce: 0.1926, aux.acc_seg: 66.1063, loss: 0.6281 2022-06-18 13:08:48,133 - mmseg - INFO - Iter [57150/160000] lr: 3.960e-05, eta: 6:47:50, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4387, decode.acc_seg: 67.8737, aux.loss_ce: 0.1937, aux.acc_seg: 66.6447, loss: 0.6325 2022-06-18 13:08:59,741 - mmseg - INFO - Iter [57200/160000] lr: 3.958e-05, eta: 6:47:38, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4368, decode.acc_seg: 66.6196, aux.loss_ce: 0.1971, aux.acc_seg: 65.5937, loss: 0.6338 2022-06-18 13:09:11,457 - mmseg - INFO - Iter [57250/160000] lr: 3.956e-05, eta: 6:47:26, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4383, decode.acc_seg: 67.2131, aux.loss_ce: 0.1946, aux.acc_seg: 66.1977, loss: 0.6329 2022-06-18 13:09:22,866 - mmseg - INFO - Iter [57300/160000] lr: 3.954e-05, eta: 6:47:13, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4648, decode.acc_seg: 67.2564, aux.loss_ce: 0.2060, aux.acc_seg: 66.0672, loss: 0.6708 2022-06-18 13:09:34,407 - mmseg - INFO - Iter [57350/160000] lr: 3.952e-05, eta: 6:47:00, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4596, decode.acc_seg: 66.1919, aux.loss_ce: 0.2040, aux.acc_seg: 64.9935, loss: 0.6636 2022-06-18 13:09:46,139 - mmseg - INFO - Iter [57400/160000] lr: 3.950e-05, eta: 6:46:48, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4647, decode.acc_seg: 68.0826, aux.loss_ce: 0.2037, aux.acc_seg: 67.1353, loss: 0.6684 2022-06-18 13:09:57,853 - mmseg - INFO - Iter [57450/160000] lr: 3.948e-05, eta: 6:46:36, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4481, decode.acc_seg: 68.0522, aux.loss_ce: 0.1985, aux.acc_seg: 67.0119, loss: 0.6466 2022-06-18 13:10:09,642 - mmseg - INFO - Iter [57500/160000] lr: 3.946e-05, eta: 6:46:24, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4559, decode.acc_seg: 68.1009, aux.loss_ce: 0.2034, aux.acc_seg: 66.7779, loss: 0.6593 2022-06-18 13:10:21,352 - mmseg - INFO - Iter [57550/160000] lr: 3.944e-05, eta: 6:46:11, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4243, decode.acc_seg: 67.9013, aux.loss_ce: 0.1891, aux.acc_seg: 66.8359, loss: 0.6134 2022-06-18 13:10:32,898 - mmseg - INFO - Iter [57600/160000] lr: 3.943e-05, eta: 6:45:59, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4516, decode.acc_seg: 66.7310, aux.loss_ce: 0.1996, aux.acc_seg: 65.4641, loss: 0.6511 2022-06-18 13:10:44,596 - mmseg - INFO - Iter [57650/160000] lr: 3.941e-05, eta: 6:45:47, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4497, decode.acc_seg: 69.9166, aux.loss_ce: 0.1994, aux.acc_seg: 68.9525, loss: 0.6492 2022-06-18 13:10:56,208 - mmseg - INFO - Iter [57700/160000] lr: 3.939e-05, eta: 6:45:34, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4137, decode.acc_seg: 68.3564, aux.loss_ce: 0.1848, aux.acc_seg: 67.1641, loss: 0.5985 2022-06-18 13:11:07,807 - mmseg - INFO - Iter [57750/160000] lr: 3.937e-05, eta: 6:45:22, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4493, decode.acc_seg: 66.8269, aux.loss_ce: 0.2003, aux.acc_seg: 65.7529, loss: 0.6496 2022-06-18 13:11:19,425 - mmseg - INFO - Iter [57800/160000] lr: 3.935e-05, eta: 6:45:10, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4437, decode.acc_seg: 66.0610, aux.loss_ce: 0.1966, aux.acc_seg: 65.0590, loss: 0.6403 2022-06-18 13:11:30,976 - mmseg - INFO - Iter [57850/160000] lr: 3.933e-05, eta: 6:44:57, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4295, decode.acc_seg: 68.2620, aux.loss_ce: 0.1926, aux.acc_seg: 67.1758, loss: 0.6221 2022-06-18 13:11:42,856 - mmseg - INFO - Iter [57900/160000] lr: 3.931e-05, eta: 6:44:45, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4283, decode.acc_seg: 68.4623, aux.loss_ce: 0.1929, aux.acc_seg: 67.0746, loss: 0.6212 2022-06-18 13:11:54,435 - mmseg - INFO - Iter [57950/160000] lr: 3.929e-05, eta: 6:44:33, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4233, decode.acc_seg: 66.1297, aux.loss_ce: 0.1875, aux.acc_seg: 65.0562, loss: 0.6108 2022-06-18 13:12:06,325 - mmseg - INFO - Saving checkpoint at 58000 iterations 2022-06-18 13:12:07,002 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 13:12:07,002 - mmseg - INFO - Iter [58000/160000] lr: 3.927e-05, eta: 6:44:22, time: 0.251, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4342, decode.acc_seg: 66.7098, aux.loss_ce: 0.1943, aux.acc_seg: 65.3410, loss: 0.6285 2022-06-18 13:12:18,851 - mmseg - INFO - Iter [58050/160000] lr: 3.925e-05, eta: 6:44:10, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4688, decode.acc_seg: 67.3153, aux.loss_ce: 0.2045, aux.acc_seg: 66.4524, loss: 0.6733 2022-06-18 13:12:32,712 - mmseg - INFO - Iter [58100/160000] lr: 3.923e-05, eta: 6:44:02, time: 0.277, data_time: 0.050, memory: 36048, decode.loss_ce: 0.4242, decode.acc_seg: 67.0351, aux.loss_ce: 0.1885, aux.acc_seg: 66.0068, loss: 0.6127 2022-06-18 13:12:44,466 - mmseg - INFO - Iter [58150/160000] lr: 3.921e-05, eta: 6:43:49, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3976, decode.acc_seg: 67.2352, aux.loss_ce: 0.1768, aux.acc_seg: 66.1810, loss: 0.5745 2022-06-18 13:12:56,297 - mmseg - INFO - Iter [58200/160000] lr: 3.919e-05, eta: 6:43:37, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4272, decode.acc_seg: 68.2250, aux.loss_ce: 0.1890, aux.acc_seg: 67.2988, loss: 0.6162 2022-06-18 13:13:07,958 - mmseg - INFO - Iter [58250/160000] lr: 3.917e-05, eta: 6:43:25, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4341, decode.acc_seg: 68.1557, aux.loss_ce: 0.1924, aux.acc_seg: 67.0885, loss: 0.6265 2022-06-18 13:13:19,490 - mmseg - INFO - Iter [58300/160000] lr: 3.916e-05, eta: 6:43:13, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4268, decode.acc_seg: 67.7932, aux.loss_ce: 0.1905, aux.acc_seg: 66.6485, loss: 0.6173 2022-06-18 13:13:31,167 - mmseg - INFO - Iter [58350/160000] lr: 3.914e-05, eta: 6:43:00, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4353, decode.acc_seg: 68.8548, aux.loss_ce: 0.1934, aux.acc_seg: 67.6139, loss: 0.6287 2022-06-18 13:13:43,156 - mmseg - INFO - Iter [58400/160000] lr: 3.912e-05, eta: 6:42:49, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4097, decode.acc_seg: 68.3249, aux.loss_ce: 0.1822, aux.acc_seg: 67.2807, loss: 0.5918 2022-06-18 13:13:54,728 - mmseg - INFO - Iter [58450/160000] lr: 3.910e-05, eta: 6:42:36, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4193, decode.acc_seg: 67.1251, aux.loss_ce: 0.1875, aux.acc_seg: 65.9795, loss: 0.6068 2022-06-18 13:14:06,567 - mmseg - INFO - Iter [58500/160000] lr: 3.908e-05, eta: 6:42:24, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4097, decode.acc_seg: 68.5373, aux.loss_ce: 0.1847, aux.acc_seg: 67.3379, loss: 0.5944 2022-06-18 13:14:18,146 - mmseg - INFO - Iter [58550/160000] lr: 3.906e-05, eta: 6:42:12, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4277, decode.acc_seg: 68.0505, aux.loss_ce: 0.1907, aux.acc_seg: 67.0605, loss: 0.6183 2022-06-18 13:14:29,965 - mmseg - INFO - Iter [58600/160000] lr: 3.904e-05, eta: 6:42:00, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4228, decode.acc_seg: 66.8677, aux.loss_ce: 0.1881, aux.acc_seg: 65.5688, loss: 0.6109 2022-06-18 13:14:41,732 - mmseg - INFO - Iter [58650/160000] lr: 3.902e-05, eta: 6:41:48, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4048, decode.acc_seg: 67.9653, aux.loss_ce: 0.1795, aux.acc_seg: 66.9279, loss: 0.5843 2022-06-18 13:14:53,359 - mmseg - INFO - Iter [58700/160000] lr: 3.900e-05, eta: 6:41:35, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4121, decode.acc_seg: 67.4487, aux.loss_ce: 0.1836, aux.acc_seg: 66.4423, loss: 0.5957 2022-06-18 13:15:04,854 - mmseg - INFO - Iter [58750/160000] lr: 3.898e-05, eta: 6:41:23, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4470, decode.acc_seg: 67.7123, aux.loss_ce: 0.1973, aux.acc_seg: 66.5095, loss: 0.6443 2022-06-18 13:15:16,545 - mmseg - INFO - Iter [58800/160000] lr: 3.896e-05, eta: 6:41:10, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4539, decode.acc_seg: 68.7432, aux.loss_ce: 0.2020, aux.acc_seg: 67.6304, loss: 0.6558 2022-06-18 13:15:28,074 - mmseg - INFO - Iter [58850/160000] lr: 3.894e-05, eta: 6:40:58, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4703, decode.acc_seg: 66.6615, aux.loss_ce: 0.2077, aux.acc_seg: 65.5521, loss: 0.6780 2022-06-18 13:15:39,668 - mmseg - INFO - Iter [58900/160000] lr: 3.892e-05, eta: 6:40:45, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4578, decode.acc_seg: 66.8265, aux.loss_ce: 0.2018, aux.acc_seg: 65.8476, loss: 0.6596 2022-06-18 13:15:51,499 - mmseg - INFO - Iter [58950/160000] lr: 3.891e-05, eta: 6:40:33, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4481, decode.acc_seg: 66.9106, aux.loss_ce: 0.1986, aux.acc_seg: 65.8392, loss: 0.6467 2022-06-18 13:16:02,982 - mmseg - INFO - Saving checkpoint at 59000 iterations 2022-06-18 13:16:03,673 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 13:16:03,673 - mmseg - INFO - Iter [59000/160000] lr: 3.889e-05, eta: 6:40:22, time: 0.244, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4220, decode.acc_seg: 68.1187, aux.loss_ce: 0.1878, aux.acc_seg: 66.8766, loss: 0.6098 2022-06-18 13:16:15,269 - mmseg - INFO - Iter [59050/160000] lr: 3.887e-05, eta: 6:40:10, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4236, decode.acc_seg: 67.2886, aux.loss_ce: 0.1850, aux.acc_seg: 66.6032, loss: 0.6087 2022-06-18 13:16:27,022 - mmseg - INFO - Iter [59100/160000] lr: 3.885e-05, eta: 6:39:58, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4328, decode.acc_seg: 66.8611, aux.loss_ce: 0.1922, aux.acc_seg: 66.0457, loss: 0.6250 2022-06-18 13:16:38,449 - mmseg - INFO - Iter [59150/160000] lr: 3.883e-05, eta: 6:39:45, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4543, decode.acc_seg: 67.4895, aux.loss_ce: 0.2013, aux.acc_seg: 66.2793, loss: 0.6556 2022-06-18 13:16:50,122 - mmseg - INFO - Iter [59200/160000] lr: 3.881e-05, eta: 6:39:33, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4236, decode.acc_seg: 68.9116, aux.loss_ce: 0.1882, aux.acc_seg: 68.0714, loss: 0.6118 2022-06-18 13:17:01,688 - mmseg - INFO - Iter [59250/160000] lr: 3.879e-05, eta: 6:39:20, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4430, decode.acc_seg: 65.0847, aux.loss_ce: 0.1957, aux.acc_seg: 64.1591, loss: 0.6387 2022-06-18 13:17:13,468 - mmseg - INFO - Iter [59300/160000] lr: 3.877e-05, eta: 6:39:08, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4447, decode.acc_seg: 67.3470, aux.loss_ce: 0.2000, aux.acc_seg: 66.0995, loss: 0.6447 2022-06-18 13:17:25,167 - mmseg - INFO - Iter [59350/160000] lr: 3.875e-05, eta: 6:38:56, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4305, decode.acc_seg: 67.9156, aux.loss_ce: 0.1937, aux.acc_seg: 66.6753, loss: 0.6242 2022-06-18 13:17:39,046 - mmseg - INFO - Iter [59400/160000] lr: 3.873e-05, eta: 6:38:47, time: 0.278, data_time: 0.049, memory: 36048, decode.loss_ce: 0.4220, decode.acc_seg: 70.1466, aux.loss_ce: 0.1888, aux.acc_seg: 68.8440, loss: 0.6109 2022-06-18 13:17:50,726 - mmseg - INFO - Iter [59450/160000] lr: 3.871e-05, eta: 6:38:35, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4090, decode.acc_seg: 68.1415, aux.loss_ce: 0.1822, aux.acc_seg: 67.1925, loss: 0.5912 2022-06-18 13:18:02,326 - mmseg - INFO - Iter [59500/160000] lr: 3.869e-05, eta: 6:38:23, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4017, decode.acc_seg: 68.5076, aux.loss_ce: 0.1804, aux.acc_seg: 67.3504, loss: 0.5821 2022-06-18 13:18:14,043 - mmseg - INFO - Iter [59550/160000] lr: 3.867e-05, eta: 6:38:10, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3962, decode.acc_seg: 67.6795, aux.loss_ce: 0.1779, aux.acc_seg: 66.6020, loss: 0.5741 2022-06-18 13:18:25,515 - mmseg - INFO - Iter [59600/160000] lr: 3.866e-05, eta: 6:37:58, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4130, decode.acc_seg: 68.2288, aux.loss_ce: 0.1834, aux.acc_seg: 67.2859, loss: 0.5965 2022-06-18 13:18:37,263 - mmseg - INFO - Iter [59650/160000] lr: 3.864e-05, eta: 6:37:46, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4248, decode.acc_seg: 66.5488, aux.loss_ce: 0.1896, aux.acc_seg: 65.4745, loss: 0.6144 2022-06-18 13:18:48,704 - mmseg - INFO - Iter [59700/160000] lr: 3.862e-05, eta: 6:37:33, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4279, decode.acc_seg: 67.8259, aux.loss_ce: 0.1902, aux.acc_seg: 66.7778, loss: 0.6180 2022-06-18 13:19:00,324 - mmseg - INFO - Iter [59750/160000] lr: 3.860e-05, eta: 6:37:21, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3878, decode.acc_seg: 67.9736, aux.loss_ce: 0.1711, aux.acc_seg: 67.0326, loss: 0.5589 2022-06-18 13:19:12,030 - mmseg - INFO - Iter [59800/160000] lr: 3.858e-05, eta: 6:37:09, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4380, decode.acc_seg: 67.2887, aux.loss_ce: 0.1941, aux.acc_seg: 66.2187, loss: 0.6321 2022-06-18 13:19:23,914 - mmseg - INFO - Iter [59850/160000] lr: 3.856e-05, eta: 6:36:57, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4066, decode.acc_seg: 67.3180, aux.loss_ce: 0.1836, aux.acc_seg: 65.9520, loss: 0.5902 2022-06-18 13:19:35,638 - mmseg - INFO - Iter [59900/160000] lr: 3.854e-05, eta: 6:36:44, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4275, decode.acc_seg: 66.7264, aux.loss_ce: 0.1885, aux.acc_seg: 65.8384, loss: 0.6160 2022-06-18 13:19:47,341 - mmseg - INFO - Iter [59950/160000] lr: 3.852e-05, eta: 6:36:32, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4355, decode.acc_seg: 66.9787, aux.loss_ce: 0.1957, aux.acc_seg: 65.8741, loss: 0.6312 2022-06-18 13:19:58,870 - mmseg - INFO - Saving checkpoint at 60000 iterations 2022-06-18 13:19:59,576 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 13:19:59,576 - mmseg - INFO - Iter [60000/160000] lr: 3.850e-05, eta: 6:36:21, time: 0.245, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4264, decode.acc_seg: 67.9850, aux.loss_ce: 0.1928, aux.acc_seg: 66.7885, loss: 0.6192 2022-06-18 13:20:11,461 - mmseg - INFO - Iter [60050/160000] lr: 3.848e-05, eta: 6:36:09, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4185, decode.acc_seg: 67.8548, aux.loss_ce: 0.1872, aux.acc_seg: 66.8002, loss: 0.6057 2022-06-18 13:20:23,212 - mmseg - INFO - Iter [60100/160000] lr: 3.846e-05, eta: 6:35:57, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4194, decode.acc_seg: 68.3040, aux.loss_ce: 0.1866, aux.acc_seg: 67.1452, loss: 0.6060 2022-06-18 13:20:34,871 - mmseg - INFO - Iter [60150/160000] lr: 3.844e-05, eta: 6:35:45, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4708, decode.acc_seg: 66.6927, aux.loss_ce: 0.2068, aux.acc_seg: 65.4094, loss: 0.6776 2022-06-18 13:20:46,608 - mmseg - INFO - Iter [60200/160000] lr: 3.842e-05, eta: 6:35:32, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4192, decode.acc_seg: 68.4058, aux.loss_ce: 0.1860, aux.acc_seg: 67.4143, loss: 0.6052 2022-06-18 13:20:58,025 - mmseg - INFO - Iter [60250/160000] lr: 3.840e-05, eta: 6:35:20, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4112, decode.acc_seg: 67.1232, aux.loss_ce: 0.1827, aux.acc_seg: 65.9492, loss: 0.5939 2022-06-18 13:21:09,839 - mmseg - INFO - Iter [60300/160000] lr: 3.839e-05, eta: 6:35:08, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4134, decode.acc_seg: 68.3991, aux.loss_ce: 0.1852, aux.acc_seg: 67.2419, loss: 0.5986 2022-06-18 13:21:21,352 - mmseg - INFO - Iter [60350/160000] lr: 3.837e-05, eta: 6:34:55, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4220, decode.acc_seg: 67.0969, aux.loss_ce: 0.1877, aux.acc_seg: 66.1084, loss: 0.6097 2022-06-18 13:21:33,341 - mmseg - INFO - Iter [60400/160000] lr: 3.835e-05, eta: 6:34:44, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4431, decode.acc_seg: 67.8295, aux.loss_ce: 0.1947, aux.acc_seg: 66.8436, loss: 0.6377 2022-06-18 13:21:44,911 - mmseg - INFO - Iter [60450/160000] lr: 3.833e-05, eta: 6:34:31, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4306, decode.acc_seg: 67.3779, aux.loss_ce: 0.1904, aux.acc_seg: 66.2432, loss: 0.6209 2022-06-18 13:21:56,583 - mmseg - INFO - Iter [60500/160000] lr: 3.831e-05, eta: 6:34:19, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4460, decode.acc_seg: 68.8344, aux.loss_ce: 0.1988, aux.acc_seg: 67.6601, loss: 0.6448 2022-06-18 13:22:08,242 - mmseg - INFO - Iter [60550/160000] lr: 3.829e-05, eta: 6:34:07, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4285, decode.acc_seg: 66.8474, aux.loss_ce: 0.1898, aux.acc_seg: 65.8513, loss: 0.6184 2022-06-18 13:22:20,113 - mmseg - INFO - Iter [60600/160000] lr: 3.827e-05, eta: 6:33:55, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4236, decode.acc_seg: 69.0707, aux.loss_ce: 0.1884, aux.acc_seg: 67.8506, loss: 0.6121 2022-06-18 13:22:33,996 - mmseg - INFO - Iter [60650/160000] lr: 3.825e-05, eta: 6:33:46, time: 0.278, data_time: 0.049, memory: 36048, decode.loss_ce: 0.4004, decode.acc_seg: 68.6965, aux.loss_ce: 0.1785, aux.acc_seg: 67.5042, loss: 0.5790 2022-06-18 13:22:45,563 - mmseg - INFO - Iter [60700/160000] lr: 3.823e-05, eta: 6:33:34, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4098, decode.acc_seg: 67.3725, aux.loss_ce: 0.1832, aux.acc_seg: 66.3314, loss: 0.5930 2022-06-18 13:22:57,098 - mmseg - INFO - Iter [60750/160000] lr: 3.821e-05, eta: 6:33:21, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3897, decode.acc_seg: 69.2101, aux.loss_ce: 0.1749, aux.acc_seg: 68.2316, loss: 0.5646 2022-06-18 13:23:08,388 - mmseg - INFO - Iter [60800/160000] lr: 3.819e-05, eta: 6:33:08, time: 0.226, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4003, decode.acc_seg: 68.4312, aux.loss_ce: 0.1789, aux.acc_seg: 67.4717, loss: 0.5792 2022-06-18 13:23:19,979 - mmseg - INFO - Iter [60850/160000] lr: 3.817e-05, eta: 6:32:56, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4300, decode.acc_seg: 67.9394, aux.loss_ce: 0.1923, aux.acc_seg: 66.7112, loss: 0.6223 2022-06-18 13:23:31,457 - mmseg - INFO - Iter [60900/160000] lr: 3.815e-05, eta: 6:32:43, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4014, decode.acc_seg: 68.0718, aux.loss_ce: 0.1797, aux.acc_seg: 67.1758, loss: 0.5811 2022-06-18 13:23:43,042 - mmseg - INFO - Iter [60950/160000] lr: 3.814e-05, eta: 6:32:31, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4100, decode.acc_seg: 67.4292, aux.loss_ce: 0.1845, aux.acc_seg: 66.1691, loss: 0.5944 2022-06-18 13:23:54,945 - mmseg - INFO - Saving checkpoint at 61000 iterations 2022-06-18 13:23:55,624 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 13:23:55,624 - mmseg - INFO - Iter [61000/160000] lr: 3.812e-05, eta: 6:32:20, time: 0.252, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4195, decode.acc_seg: 67.5553, aux.loss_ce: 0.1866, aux.acc_seg: 66.4511, loss: 0.6061 2022-06-18 13:24:07,484 - mmseg - INFO - Iter [61050/160000] lr: 3.810e-05, eta: 6:32:08, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4098, decode.acc_seg: 68.2624, aux.loss_ce: 0.1844, aux.acc_seg: 67.0914, loss: 0.5941 2022-06-18 13:24:19,128 - mmseg - INFO - Iter [61100/160000] lr: 3.808e-05, eta: 6:31:56, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4179, decode.acc_seg: 69.0946, aux.loss_ce: 0.1865, aux.acc_seg: 67.9283, loss: 0.6043 2022-06-18 13:24:30,809 - mmseg - INFO - Iter [61150/160000] lr: 3.806e-05, eta: 6:31:44, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3898, decode.acc_seg: 68.0176, aux.loss_ce: 0.1791, aux.acc_seg: 66.7692, loss: 0.5689 2022-06-18 13:24:42,265 - mmseg - INFO - Iter [61200/160000] lr: 3.804e-05, eta: 6:31:31, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4247, decode.acc_seg: 68.2280, aux.loss_ce: 0.1893, aux.acc_seg: 67.1693, loss: 0.6140 2022-06-18 13:24:54,058 - mmseg - INFO - Iter [61250/160000] lr: 3.802e-05, eta: 6:31:19, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4066, decode.acc_seg: 67.6227, aux.loss_ce: 0.1809, aux.acc_seg: 66.5916, loss: 0.5876 2022-06-18 13:25:05,711 - mmseg - INFO - Iter [61300/160000] lr: 3.800e-05, eta: 6:31:07, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4236, decode.acc_seg: 67.6939, aux.loss_ce: 0.1885, aux.acc_seg: 66.6324, loss: 0.6122 2022-06-18 13:25:17,309 - mmseg - INFO - Iter [61350/160000] lr: 3.798e-05, eta: 6:30:55, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4393, decode.acc_seg: 66.8631, aux.loss_ce: 0.1912, aux.acc_seg: 66.1417, loss: 0.6305 2022-06-18 13:25:28,966 - mmseg - INFO - Iter [61400/160000] lr: 3.796e-05, eta: 6:30:42, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4559, decode.acc_seg: 66.3499, aux.loss_ce: 0.2015, aux.acc_seg: 65.3600, loss: 0.6573 2022-06-18 13:25:40,773 - mmseg - INFO - Iter [61450/160000] lr: 3.794e-05, eta: 6:30:30, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4290, decode.acc_seg: 66.4891, aux.loss_ce: 0.1919, aux.acc_seg: 65.1418, loss: 0.6209 2022-06-18 13:25:52,193 - mmseg - INFO - Iter [61500/160000] lr: 3.792e-05, eta: 6:30:18, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4523, decode.acc_seg: 66.8528, aux.loss_ce: 0.1984, aux.acc_seg: 65.7244, loss: 0.6507 2022-06-18 13:26:03,929 - mmseg - INFO - Iter [61550/160000] lr: 3.790e-05, eta: 6:30:06, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4155, decode.acc_seg: 68.5881, aux.loss_ce: 0.1838, aux.acc_seg: 67.5502, loss: 0.5993 2022-06-18 13:26:15,643 - mmseg - INFO - Iter [61600/160000] lr: 3.789e-05, eta: 6:29:53, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4015, decode.acc_seg: 68.0669, aux.loss_ce: 0.1822, aux.acc_seg: 67.0187, loss: 0.5836 2022-06-18 13:26:27,473 - mmseg - INFO - Iter [61650/160000] lr: 3.787e-05, eta: 6:29:41, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4251, decode.acc_seg: 66.3016, aux.loss_ce: 0.1899, aux.acc_seg: 65.3043, loss: 0.6150 2022-06-18 13:26:39,127 - mmseg - INFO - Iter [61700/160000] lr: 3.785e-05, eta: 6:29:29, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4264, decode.acc_seg: 67.5546, aux.loss_ce: 0.1861, aux.acc_seg: 66.5405, loss: 0.6125 2022-06-18 13:26:50,807 - mmseg - INFO - Iter [61750/160000] lr: 3.783e-05, eta: 6:29:17, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4290, decode.acc_seg: 66.5226, aux.loss_ce: 0.1905, aux.acc_seg: 65.3051, loss: 0.6196 2022-06-18 13:27:02,164 - mmseg - INFO - Iter [61800/160000] lr: 3.781e-05, eta: 6:29:04, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4284, decode.acc_seg: 69.0438, aux.loss_ce: 0.1915, aux.acc_seg: 67.7457, loss: 0.6199 2022-06-18 13:27:13,644 - mmseg - INFO - Iter [61850/160000] lr: 3.779e-05, eta: 6:28:52, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4391, decode.acc_seg: 66.8099, aux.loss_ce: 0.1943, aux.acc_seg: 65.9207, loss: 0.6335 2022-06-18 13:27:27,238 - mmseg - INFO - Iter [61900/160000] lr: 3.777e-05, eta: 6:28:42, time: 0.272, data_time: 0.050, memory: 36048, decode.loss_ce: 0.4251, decode.acc_seg: 68.1917, aux.loss_ce: 0.1895, aux.acc_seg: 67.1405, loss: 0.6146 2022-06-18 13:27:38,867 - mmseg - INFO - Iter [61950/160000] lr: 3.775e-05, eta: 6:28:30, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3996, decode.acc_seg: 67.7729, aux.loss_ce: 0.1811, aux.acc_seg: 66.3903, loss: 0.5808 2022-06-18 13:27:50,460 - mmseg - INFO - Saving checkpoint at 62000 iterations 2022-06-18 13:27:51,206 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 13:27:51,206 - mmseg - INFO - Iter [62000/160000] lr: 3.773e-05, eta: 6:28:19, time: 0.247, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4113, decode.acc_seg: 69.0521, aux.loss_ce: 0.1860, aux.acc_seg: 67.7544, loss: 0.5972 2022-06-18 13:28:02,811 - mmseg - INFO - Iter [62050/160000] lr: 3.771e-05, eta: 6:28:07, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3987, decode.acc_seg: 68.5983, aux.loss_ce: 0.1781, aux.acc_seg: 67.5091, loss: 0.5768 2022-06-18 13:28:14,204 - mmseg - INFO - Iter [62100/160000] lr: 3.769e-05, eta: 6:27:54, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3993, decode.acc_seg: 67.8791, aux.loss_ce: 0.1820, aux.acc_seg: 66.6842, loss: 0.5813 2022-06-18 13:28:25,916 - mmseg - INFO - Iter [62150/160000] lr: 3.767e-05, eta: 6:27:42, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4102, decode.acc_seg: 67.2072, aux.loss_ce: 0.1838, aux.acc_seg: 66.0567, loss: 0.5940 2022-06-18 13:28:37,292 - mmseg - INFO - Iter [62200/160000] lr: 3.765e-05, eta: 6:27:29, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4292, decode.acc_seg: 69.1054, aux.loss_ce: 0.1899, aux.acc_seg: 68.0955, loss: 0.6191 2022-06-18 13:28:48,903 - mmseg - INFO - Iter [62250/160000] lr: 3.763e-05, eta: 6:27:17, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4097, decode.acc_seg: 67.7627, aux.loss_ce: 0.1845, aux.acc_seg: 66.6322, loss: 0.5942 2022-06-18 13:29:00,646 - mmseg - INFO - Iter [62300/160000] lr: 3.762e-05, eta: 6:27:05, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4074, decode.acc_seg: 68.8265, aux.loss_ce: 0.1818, aux.acc_seg: 67.7754, loss: 0.5892 2022-06-18 13:29:12,183 - mmseg - INFO - Iter [62350/160000] lr: 3.760e-05, eta: 6:26:52, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4266, decode.acc_seg: 66.8962, aux.loss_ce: 0.1900, aux.acc_seg: 65.9080, loss: 0.6166 2022-06-18 13:29:23,650 - mmseg - INFO - Iter [62400/160000] lr: 3.758e-05, eta: 6:26:40, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4129, decode.acc_seg: 68.3341, aux.loss_ce: 0.1805, aux.acc_seg: 67.3955, loss: 0.5933 2022-06-18 13:29:35,459 - mmseg - INFO - Iter [62450/160000] lr: 3.756e-05, eta: 6:26:28, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4077, decode.acc_seg: 67.2893, aux.loss_ce: 0.1815, aux.acc_seg: 66.2986, loss: 0.5892 2022-06-18 13:29:47,149 - mmseg - INFO - Iter [62500/160000] lr: 3.754e-05, eta: 6:26:16, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3834, decode.acc_seg: 68.2880, aux.loss_ce: 0.1717, aux.acc_seg: 67.2707, loss: 0.5551 2022-06-18 13:29:58,989 - mmseg - INFO - Iter [62550/160000] lr: 3.752e-05, eta: 6:26:04, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4228, decode.acc_seg: 68.1715, aux.loss_ce: 0.1888, aux.acc_seg: 67.0142, loss: 0.6116 2022-06-18 13:30:10,490 - mmseg - INFO - Iter [62600/160000] lr: 3.750e-05, eta: 6:25:51, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4444, decode.acc_seg: 67.3500, aux.loss_ce: 0.1976, aux.acc_seg: 66.2524, loss: 0.6421 2022-06-18 13:30:22,193 - mmseg - INFO - Iter [62650/160000] lr: 3.748e-05, eta: 6:25:39, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4121, decode.acc_seg: 68.9116, aux.loss_ce: 0.1831, aux.acc_seg: 67.8490, loss: 0.5953 2022-06-18 13:30:33,934 - mmseg - INFO - Iter [62700/160000] lr: 3.746e-05, eta: 6:25:27, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4055, decode.acc_seg: 68.3097, aux.loss_ce: 0.1840, aux.acc_seg: 66.8712, loss: 0.5896 2022-06-18 13:30:45,493 - mmseg - INFO - Iter [62750/160000] lr: 3.744e-05, eta: 6:25:14, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4185, decode.acc_seg: 67.2352, aux.loss_ce: 0.1865, aux.acc_seg: 66.0488, loss: 0.6050 2022-06-18 13:30:57,070 - mmseg - INFO - Iter [62800/160000] lr: 3.742e-05, eta: 6:25:02, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4067, decode.acc_seg: 67.7104, aux.loss_ce: 0.1841, aux.acc_seg: 66.5387, loss: 0.5908 2022-06-18 13:31:08,976 - mmseg - INFO - Iter [62850/160000] lr: 3.740e-05, eta: 6:24:50, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4328, decode.acc_seg: 67.6544, aux.loss_ce: 0.1929, aux.acc_seg: 66.3995, loss: 0.6257 2022-06-18 13:31:20,659 - mmseg - INFO - Iter [62900/160000] lr: 3.738e-05, eta: 6:24:38, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4336, decode.acc_seg: 68.2027, aux.loss_ce: 0.1937, aux.acc_seg: 66.9247, loss: 0.6273 2022-06-18 13:31:32,353 - mmseg - INFO - Iter [62950/160000] lr: 3.737e-05, eta: 6:24:26, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4590, decode.acc_seg: 67.0882, aux.loss_ce: 0.2019, aux.acc_seg: 66.1419, loss: 0.6609 2022-06-18 13:31:43,852 - mmseg - INFO - Saving checkpoint at 63000 iterations 2022-06-18 13:31:44,564 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 13:31:44,564 - mmseg - INFO - Iter [63000/160000] lr: 3.735e-05, eta: 6:24:14, time: 0.244, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4381, decode.acc_seg: 67.7980, aux.loss_ce: 0.1952, aux.acc_seg: 66.7453, loss: 0.6334 2022-06-18 13:31:56,233 - mmseg - INFO - Iter [63050/160000] lr: 3.733e-05, eta: 6:24:02, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4410, decode.acc_seg: 68.6750, aux.loss_ce: 0.1963, aux.acc_seg: 67.6631, loss: 0.6373 2022-06-18 13:32:08,107 - mmseg - INFO - Iter [63100/160000] lr: 3.731e-05, eta: 6:23:50, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4112, decode.acc_seg: 68.5246, aux.loss_ce: 0.1832, aux.acc_seg: 67.5247, loss: 0.5944 2022-06-18 13:32:19,438 - mmseg - INFO - Iter [63150/160000] lr: 3.729e-05, eta: 6:23:38, time: 0.226, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4267, decode.acc_seg: 67.4260, aux.loss_ce: 0.1891, aux.acc_seg: 66.3124, loss: 0.6159 2022-06-18 13:32:33,192 - mmseg - INFO - Iter [63200/160000] lr: 3.727e-05, eta: 6:23:29, time: 0.275, data_time: 0.050, memory: 36048, decode.loss_ce: 0.4071, decode.acc_seg: 67.9124, aux.loss_ce: 0.1821, aux.acc_seg: 66.8097, loss: 0.5892 2022-06-18 13:32:44,677 - mmseg - INFO - Iter [63250/160000] lr: 3.725e-05, eta: 6:23:16, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4025, decode.acc_seg: 67.6859, aux.loss_ce: 0.1805, aux.acc_seg: 66.7107, loss: 0.5830 2022-06-18 13:32:56,218 - mmseg - INFO - Iter [63300/160000] lr: 3.723e-05, eta: 6:23:04, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4112, decode.acc_seg: 68.7780, aux.loss_ce: 0.1837, aux.acc_seg: 67.5591, loss: 0.5949 2022-06-18 13:33:07,626 - mmseg - INFO - Iter [63350/160000] lr: 3.721e-05, eta: 6:22:51, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4053, decode.acc_seg: 67.3326, aux.loss_ce: 0.1826, aux.acc_seg: 66.2996, loss: 0.5880 2022-06-18 13:33:19,279 - mmseg - INFO - Iter [63400/160000] lr: 3.719e-05, eta: 6:22:39, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4094, decode.acc_seg: 67.7493, aux.loss_ce: 0.1822, aux.acc_seg: 66.5632, loss: 0.5917 2022-06-18 13:33:31,171 - mmseg - INFO - Iter [63450/160000] lr: 3.717e-05, eta: 6:22:27, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4174, decode.acc_seg: 67.5185, aux.loss_ce: 0.1859, aux.acc_seg: 66.3683, loss: 0.6033 2022-06-18 13:33:42,642 - mmseg - INFO - Iter [63500/160000] lr: 3.715e-05, eta: 6:22:14, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4034, decode.acc_seg: 67.9077, aux.loss_ce: 0.1829, aux.acc_seg: 66.8037, loss: 0.5863 2022-06-18 13:33:54,306 - mmseg - INFO - Iter [63550/160000] lr: 3.713e-05, eta: 6:22:02, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4400, decode.acc_seg: 68.1573, aux.loss_ce: 0.1911, aux.acc_seg: 67.0362, loss: 0.6311 2022-06-18 13:34:06,067 - mmseg - INFO - Iter [63600/160000] lr: 3.712e-05, eta: 6:21:50, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4136, decode.acc_seg: 70.0295, aux.loss_ce: 0.1853, aux.acc_seg: 68.7910, loss: 0.5989 2022-06-18 13:34:17,646 - mmseg - INFO - Iter [63650/160000] lr: 3.710e-05, eta: 6:21:38, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4091, decode.acc_seg: 66.4792, aux.loss_ce: 0.1850, aux.acc_seg: 65.2176, loss: 0.5941 2022-06-18 13:34:29,277 - mmseg - INFO - Iter [63700/160000] lr: 3.708e-05, eta: 6:21:26, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4054, decode.acc_seg: 68.5060, aux.loss_ce: 0.1820, aux.acc_seg: 67.4557, loss: 0.5874 2022-06-18 13:34:41,085 - mmseg - INFO - Iter [63750/160000] lr: 3.706e-05, eta: 6:21:14, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4061, decode.acc_seg: 69.7645, aux.loss_ce: 0.1813, aux.acc_seg: 68.6679, loss: 0.5874 2022-06-18 13:34:52,871 - mmseg - INFO - Iter [63800/160000] lr: 3.704e-05, eta: 6:21:02, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4186, decode.acc_seg: 67.5719, aux.loss_ce: 0.1869, aux.acc_seg: 66.4599, loss: 0.6055 2022-06-18 13:35:04,653 - mmseg - INFO - Iter [63850/160000] lr: 3.702e-05, eta: 6:20:49, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4090, decode.acc_seg: 67.4615, aux.loss_ce: 0.1836, aux.acc_seg: 66.2377, loss: 0.5926 2022-06-18 13:35:16,260 - mmseg - INFO - Iter [63900/160000] lr: 3.700e-05, eta: 6:20:37, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4045, decode.acc_seg: 67.0213, aux.loss_ce: 0.1812, aux.acc_seg: 65.8257, loss: 0.5857 2022-06-18 13:35:27,884 - mmseg - INFO - Iter [63950/160000] lr: 3.698e-05, eta: 6:20:25, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4084, decode.acc_seg: 69.4966, aux.loss_ce: 0.1839, aux.acc_seg: 68.1435, loss: 0.5923 2022-06-18 13:35:39,514 - mmseg - INFO - Saving checkpoint at 64000 iterations 2022-06-18 13:35:40,241 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 13:35:40,241 - mmseg - INFO - Iter [64000/160000] lr: 3.696e-05, eta: 6:20:14, time: 0.247, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4029, decode.acc_seg: 67.3241, aux.loss_ce: 0.1825, aux.acc_seg: 65.9922, loss: 0.5855 2022-06-18 13:35:58,966 - mmseg - INFO - per class results: 2022-06-18 13:35:58,972 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 72.38 | 86.23 | | building | 79.16 | 92.66 | | sky | 93.73 | 97.14 | | floor | 76.96 | 89.6 | | tree | 70.76 | 81.36 | | ceiling | 80.78 | 89.08 | | road | 77.82 | 85.48 | | bed | 82.03 | 92.34 | | windowpane | 55.92 | 74.22 | | grass | 62.59 | 77.32 | | cabinet | 55.66 | 66.17 | | sidewalk | 55.83 | 74.71 | | person | 74.14 | 90.01 | | earth | 26.49 | 35.51 | | door | 34.22 | 41.36 | | table | 47.82 | 69.04 | | mountain | 48.62 | 69.45 | | plant | 45.67 | 60.75 | | curtain | 66.35 | 83.34 | | chair | 42.52 | 58.11 | | car | 77.14 | 90.57 | | water | 44.87 | 51.55 | | painting | 63.83 | 82.88 | | sofa | 57.9 | 75.58 | | shelf | 38.89 | 56.0 | | house | 42.76 | 56.12 | | sea | 52.84 | 83.61 | | mirror | 56.8 | 68.08 | | rug | 61.44 | 70.94 | | field | 30.56 | 59.61 | | armchair | 29.99 | 53.0 | | seat | 49.42 | 59.15 | | fence | 27.85 | 40.27 | | desk | 40.57 | 54.79 | | rock | 33.4 | 52.0 | | wardrobe | 51.75 | 66.44 | | lamp | 47.01 | 57.21 | | bathtub | 64.83 | 70.14 | | railing | 26.29 | 33.71 | | cushion | 45.51 | 62.94 | | base | 27.14 | 45.86 | | box | 16.5 | 22.43 | | column | 35.53 | 46.34 | | signboard | 29.99 | 37.23 | | chest of drawers | 34.24 | 45.65 | | counter | 22.09 | 29.69 | | sand | 28.74 | 50.64 | | sink | 59.87 | 67.84 | | skyscraper | 46.03 | 56.27 | | fireplace | 63.36 | 86.78 | | refrigerator | 62.58 | 76.26 | | grandstand | 35.49 | 66.89 | | path | 18.58 | 29.81 | | stairs | 11.82 | 13.03 | | runway | 72.91 | 94.58 | | case | 38.12 | 55.5 | | pool table | 90.62 | 95.43 | | pillow | 45.3 | 52.99 | | screen door | 52.96 | 92.17 | | stairway | 24.52 | 36.15 | | river | 14.6 | 31.63 | | bridge | 32.81 | 42.75 | | bookcase | 38.39 | 60.07 | | blind | 29.76 | 34.76 | | coffee table | 48.62 | 74.51 | | toilet | 77.76 | 84.8 | | flower | 31.98 | 56.31 | | book | 41.76 | 63.16 | | hill | 5.49 | 11.9 | | bench | 32.24 | 37.92 | | countertop | 47.4 | 68.69 | | stove | 59.59 | 74.47 | | palm | 43.61 | 62.02 | | kitchen island | 28.03 | 61.99 | | computer | 50.9 | 59.57 | | swivel chair | 36.62 | 54.84 | | boat | 35.81 | 43.52 | | bar | 33.0 | 39.62 | | arcade machine | 6.81 | 6.93 | | hovel | 27.99 | 49.99 | | bus | 71.54 | 84.27 | | towel | 38.93 | 59.81 | | light | 42.94 | 48.5 | | truck | 11.69 | 18.85 | | tower | 28.06 | 33.43 | | chandelier | 56.16 | 75.47 | | awning | 24.59 | 31.17 | | streetlight | 12.09 | 15.26 | | booth | 45.17 | 57.83 | | television receiver | 59.3 | 71.16 | | airplane | 48.88 | 61.26 | | dirt track | 0.58 | 1.67 | | apparel | 33.09 | 55.83 | | pole | 13.99 | 20.18 | | land | 1.22 | 2.41 | | bannister | 3.33 | 4.2 | | escalator | 15.61 | 22.49 | | ottoman | 36.49 | 48.88 | | bottle | 22.02 | 24.69 | | buffet | 56.77 | 67.78 | | poster | 16.59 | 18.67 | | stage | 14.01 | 19.66 | | van | 21.41 | 25.47 | | ship | 49.94 | 72.27 | | fountain | 17.74 | 18.32 | | conveyer belt | 52.58 | 64.07 | | canopy | 24.91 | 35.74 | | washer | 68.25 | 72.48 | | plaything | 15.36 | 23.72 | | swimming pool | 48.63 | 83.75 | | stool | 24.59 | 31.23 | | barrel | 15.28 | 35.7 | | basket | 17.86 | 20.98 | | waterfall | 59.66 | 65.66 | | tent | 89.45 | 98.6 | | bag | 1.7 | 1.84 | | minibike | 35.98 | 45.46 | | cradle | 63.51 | 95.93 | | oven | 28.04 | 41.36 | | ball | 34.74 | 38.58 | | food | 48.46 | 59.78 | | step | 3.05 | 3.56 | | tank | 38.92 | 49.71 | | trade name | 21.55 | 23.21 | | microwave | 32.44 | 38.4 | | pot | 30.77 | 34.35 | | animal | 52.68 | 55.91 | | bicycle | 32.44 | 46.95 | | lake | 48.37 | 77.19 | | dishwasher | 41.95 | 48.67 | | screen | 55.31 | 85.07 | | blanket | 4.09 | 4.36 | | sculpture | 20.01 | 25.03 | | hood | 36.56 | 46.44 | | sconce | 23.68 | 29.84 | | vase | 22.25 | 31.0 | | traffic light | 13.04 | 16.38 | | tray | 1.17 | 1.77 | | ashcan | 27.42 | 34.41 | | fan | 45.09 | 56.98 | | pier | 24.93 | 44.41 | | crt screen | 2.02 | 5.93 | | plate | 37.49 | 47.42 | | monitor | 13.45 | 16.17 | | bulletin board | 29.44 | 44.54 | | shower | 0.0 | 0.0 | | radiator | 46.25 | 56.01 | | glass | 2.21 | 2.26 | | clock | 11.96 | 12.44 | | flag | 22.59 | 23.71 | +---------------------+-------+-------+ 2022-06-18 13:35:58,973 - mmseg - INFO - Summary: 2022-06-18 13:35:58,973 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 78.86 | 38.97 | 50.77 | +-------+-------+-------+ 2022-06-18 13:35:59,015 - mmseg - INFO - The previous best checkpoint /home/chenzhe/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_deit_adapter_tiny_512_160_ade20k_try2/best_mIoU_iter_48000.pth was removed 2022-06-18 13:35:59,648 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_64000.pth. 2022-06-18 13:35:59,648 - mmseg - INFO - Best mIoU is 0.3897 at 64000 iter. 2022-06-18 13:35:59,656 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 13:35:59,657 - mmseg - INFO - Iter(val) [250] aAcc: 0.7886, mIoU: 0.3897, mAcc: 0.5077, IoU.wall: 0.7238, IoU.building: 0.7916, IoU.sky: 0.9373, IoU.floor: 0.7696, IoU.tree: 0.7076, IoU.ceiling: 0.8078, IoU.road: 0.7782, IoU.bed : 0.8203, IoU.windowpane: 0.5592, IoU.grass: 0.6259, IoU.cabinet: 0.5566, IoU.sidewalk: 0.5583, IoU.person: 0.7414, IoU.earth: 0.2649, IoU.door: 0.3422, IoU.table: 0.4782, IoU.mountain: 0.4862, IoU.plant: 0.4567, IoU.curtain: 0.6635, IoU.chair: 0.4252, IoU.car: 0.7714, IoU.water: 0.4487, IoU.painting: 0.6383, IoU.sofa: 0.5790, IoU.shelf: 0.3889, IoU.house: 0.4276, IoU.sea: 0.5284, IoU.mirror: 0.5680, IoU.rug: 0.6144, IoU.field: 0.3056, IoU.armchair: 0.2999, IoU.seat: 0.4942, IoU.fence: 0.2785, IoU.desk: 0.4057, IoU.rock: 0.3340, IoU.wardrobe: 0.5175, IoU.lamp: 0.4701, IoU.bathtub: 0.6483, IoU.railing: 0.2629, IoU.cushion: 0.4551, IoU.base: 0.2714, IoU.box: 0.1650, IoU.column: 0.3553, IoU.signboard: 0.2999, IoU.chest of drawers: 0.3424, IoU.counter: 0.2209, IoU.sand: 0.2874, IoU.sink: 0.5987, IoU.skyscraper: 0.4603, IoU.fireplace: 0.6336, IoU.refrigerator: 0.6258, IoU.grandstand: 0.3549, IoU.path: 0.1858, IoU.stairs: 0.1182, IoU.runway: 0.7291, IoU.case: 0.3812, IoU.pool table: 0.9062, IoU.pillow: 0.4530, IoU.screen door: 0.5296, IoU.stairway: 0.2452, IoU.river: 0.1460, IoU.bridge: 0.3281, IoU.bookcase: 0.3839, IoU.blind: 0.2976, IoU.coffee table: 0.4862, IoU.toilet: 0.7776, IoU.flower: 0.3198, IoU.book: 0.4176, IoU.hill: 0.0549, IoU.bench: 0.3224, IoU.countertop: 0.4740, IoU.stove: 0.5959, IoU.palm: 0.4361, IoU.kitchen island: 0.2803, IoU.computer: 0.5090, IoU.swivel chair: 0.3662, IoU.boat: 0.3581, IoU.bar: 0.3300, IoU.arcade machine: 0.0681, IoU.hovel: 0.2799, IoU.bus: 0.7154, IoU.towel: 0.3893, IoU.light: 0.4294, IoU.truck: 0.1169, IoU.tower: 0.2806, IoU.chandelier: 0.5616, IoU.awning: 0.2459, IoU.streetlight: 0.1209, IoU.booth: 0.4517, IoU.television receiver: 0.5930, IoU.airplane: 0.4888, IoU.dirt track: 0.0058, IoU.apparel: 0.3309, IoU.pole: 0.1399, IoU.land: 0.0122, IoU.bannister: 0.0333, IoU.escalator: 0.1561, IoU.ottoman: 0.3649, IoU.bottle: 0.2202, IoU.buffet: 0.5677, IoU.poster: 0.1659, IoU.stage: 0.1401, IoU.van: 0.2141, IoU.ship: 0.4994, IoU.fountain: 0.1774, IoU.conveyer belt: 0.5258, IoU.canopy: 0.2491, IoU.washer: 0.6825, IoU.plaything: 0.1536, IoU.swimming pool: 0.4863, IoU.stool: 0.2459, IoU.barrel: 0.1528, IoU.basket: 0.1786, IoU.waterfall: 0.5966, IoU.tent: 0.8945, IoU.bag: 0.0170, IoU.minibike: 0.3598, IoU.cradle: 0.6351, IoU.oven: 0.2804, IoU.ball: 0.3474, IoU.food: 0.4846, IoU.step: 0.0305, IoU.tank: 0.3892, IoU.trade name: 0.2155, IoU.microwave: 0.3244, IoU.pot: 0.3077, IoU.animal: 0.5268, IoU.bicycle: 0.3244, IoU.lake: 0.4837, IoU.dishwasher: 0.4195, IoU.screen: 0.5531, IoU.blanket: 0.0409, IoU.sculpture: 0.2001, IoU.hood: 0.3656, IoU.sconce: 0.2368, IoU.vase: 0.2225, IoU.traffic light: 0.1304, IoU.tray: 0.0117, IoU.ashcan: 0.2742, IoU.fan: 0.4509, IoU.pier: 0.2493, IoU.crt screen: 0.0202, IoU.plate: 0.3749, IoU.monitor: 0.1345, IoU.bulletin board: 0.2944, IoU.shower: 0.0000, IoU.radiator: 0.4625, IoU.glass: 0.0221, IoU.clock: 0.1196, IoU.flag: 0.2259, Acc.wall: 0.8623, Acc.building: 0.9266, Acc.sky: 0.9714, Acc.floor: 0.8960, Acc.tree: 0.8136, Acc.ceiling: 0.8908, Acc.road: 0.8548, Acc.bed : 0.9234, Acc.windowpane: 0.7422, Acc.grass: 0.7732, Acc.cabinet: 0.6617, Acc.sidewalk: 0.7471, Acc.person: 0.9001, Acc.earth: 0.3551, Acc.door: 0.4136, Acc.table: 0.6904, Acc.mountain: 0.6945, Acc.plant: 0.6075, Acc.curtain: 0.8334, Acc.chair: 0.5811, Acc.car: 0.9057, Acc.water: 0.5155, Acc.painting: 0.8288, Acc.sofa: 0.7558, Acc.shelf: 0.5600, Acc.house: 0.5612, Acc.sea: 0.8361, Acc.mirror: 0.6808, Acc.rug: 0.7094, Acc.field: 0.5961, Acc.armchair: 0.5300, Acc.seat: 0.5915, Acc.fence: 0.4027, Acc.desk: 0.5479, Acc.rock: 0.5200, Acc.wardrobe: 0.6644, Acc.lamp: 0.5721, Acc.bathtub: 0.7014, Acc.railing: 0.3371, Acc.cushion: 0.6294, Acc.base: 0.4586, Acc.box: 0.2243, Acc.column: 0.4634, Acc.signboard: 0.3723, Acc.chest of drawers: 0.4565, Acc.counter: 0.2969, Acc.sand: 0.5064, Acc.sink: 0.6784, Acc.skyscraper: 0.5627, Acc.fireplace: 0.8678, Acc.refrigerator: 0.7626, Acc.grandstand: 0.6689, Acc.path: 0.2981, Acc.stairs: 0.1303, Acc.runway: 0.9458, Acc.case: 0.5550, Acc.pool table: 0.9543, Acc.pillow: 0.5299, Acc.screen door: 0.9217, Acc.stairway: 0.3615, Acc.river: 0.3163, Acc.bridge: 0.4275, Acc.bookcase: 0.6007, Acc.blind: 0.3476, Acc.coffee table: 0.7451, Acc.toilet: 0.8480, Acc.flower: 0.5631, Acc.book: 0.6316, Acc.hill: 0.1190, Acc.bench: 0.3792, Acc.countertop: 0.6869, Acc.stove: 0.7447, Acc.palm: 0.6202, Acc.kitchen island: 0.6199, Acc.computer: 0.5957, Acc.swivel chair: 0.5484, Acc.boat: 0.4352, Acc.bar: 0.3962, Acc.arcade machine: 0.0693, Acc.hovel: 0.4999, Acc.bus: 0.8427, Acc.towel: 0.5981, Acc.light: 0.4850, Acc.truck: 0.1885, Acc.tower: 0.3343, Acc.chandelier: 0.7547, Acc.awning: 0.3117, Acc.streetlight: 0.1526, Acc.booth: 0.5783, Acc.television receiver: 0.7116, Acc.airplane: 0.6126, Acc.dirt track: 0.0167, Acc.apparel: 0.5583, Acc.pole: 0.2018, Acc.land: 0.0241, Acc.bannister: 0.0420, Acc.escalator: 0.2249, Acc.ottoman: 0.4888, Acc.bottle: 0.2469, Acc.buffet: 0.6778, Acc.poster: 0.1867, Acc.stage: 0.1966, Acc.van: 0.2547, Acc.ship: 0.7227, Acc.fountain: 0.1832, Acc.conveyer belt: 0.6407, Acc.canopy: 0.3574, Acc.washer: 0.7248, Acc.plaything: 0.2372, Acc.swimming pool: 0.8375, Acc.stool: 0.3123, Acc.barrel: 0.3570, Acc.basket: 0.2098, Acc.waterfall: 0.6566, Acc.tent: 0.9860, Acc.bag: 0.0184, Acc.minibike: 0.4546, Acc.cradle: 0.9593, Acc.oven: 0.4136, Acc.ball: 0.3858, Acc.food: 0.5978, Acc.step: 0.0356, Acc.tank: 0.4971, Acc.trade name: 0.2321, Acc.microwave: 0.3840, Acc.pot: 0.3435, Acc.animal: 0.5591, Acc.bicycle: 0.4695, Acc.lake: 0.7719, Acc.dishwasher: 0.4867, Acc.screen: 0.8507, Acc.blanket: 0.0436, Acc.sculpture: 0.2503, Acc.hood: 0.4644, Acc.sconce: 0.2984, Acc.vase: 0.3100, Acc.traffic light: 0.1638, Acc.tray: 0.0177, Acc.ashcan: 0.3441, Acc.fan: 0.5698, Acc.pier: 0.4441, Acc.crt screen: 0.0593, Acc.plate: 0.4742, Acc.monitor: 0.1617, Acc.bulletin board: 0.4454, Acc.shower: 0.0000, Acc.radiator: 0.5601, Acc.glass: 0.0226, Acc.clock: 0.1244, Acc.flag: 0.2371 2022-06-18 13:36:11,308 - mmseg - INFO - Iter [64050/160000] lr: 3.694e-05, eta: 6:20:31, time: 0.621, data_time: 0.391, memory: 36048, decode.loss_ce: 0.3963, decode.acc_seg: 68.5352, aux.loss_ce: 0.1774, aux.acc_seg: 67.5611, loss: 0.5737 2022-06-18 13:36:23,046 - mmseg - INFO - Iter [64100/160000] lr: 3.692e-05, eta: 6:20:18, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4037, decode.acc_seg: 65.7650, aux.loss_ce: 0.1828, aux.acc_seg: 64.6962, loss: 0.5865 2022-06-18 13:36:34,642 - mmseg - INFO - Iter [64150/160000] lr: 3.690e-05, eta: 6:20:06, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4097, decode.acc_seg: 66.5214, aux.loss_ce: 0.1837, aux.acc_seg: 65.4719, loss: 0.5935 2022-06-18 13:36:46,143 - mmseg - INFO - Iter [64200/160000] lr: 3.688e-05, eta: 6:19:54, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4300, decode.acc_seg: 68.1928, aux.loss_ce: 0.1928, aux.acc_seg: 67.0213, loss: 0.6229 2022-06-18 13:36:57,916 - mmseg - INFO - Iter [64250/160000] lr: 3.686e-05, eta: 6:19:42, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4302, decode.acc_seg: 65.9496, aux.loss_ce: 0.1918, aux.acc_seg: 65.0169, loss: 0.6220 2022-06-18 13:37:09,641 - mmseg - INFO - Iter [64300/160000] lr: 3.685e-05, eta: 6:19:29, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4312, decode.acc_seg: 66.8053, aux.loss_ce: 0.1912, aux.acc_seg: 65.6911, loss: 0.6224 2022-06-18 13:37:21,221 - mmseg - INFO - Iter [64350/160000] lr: 3.683e-05, eta: 6:19:17, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4156, decode.acc_seg: 68.9168, aux.loss_ce: 0.1865, aux.acc_seg: 67.7953, loss: 0.6020 2022-06-18 13:37:32,649 - mmseg - INFO - Iter [64400/160000] lr: 3.681e-05, eta: 6:19:04, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4194, decode.acc_seg: 67.8506, aux.loss_ce: 0.1862, aux.acc_seg: 66.9286, loss: 0.6057 2022-06-18 13:37:46,167 - mmseg - INFO - Iter [64450/160000] lr: 3.679e-05, eta: 6:18:55, time: 0.271, data_time: 0.050, memory: 36048, decode.loss_ce: 0.4107, decode.acc_seg: 68.9289, aux.loss_ce: 0.1884, aux.acc_seg: 67.5114, loss: 0.5992 2022-06-18 13:37:57,798 - mmseg - INFO - Iter [64500/160000] lr: 3.677e-05, eta: 6:18:43, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4105, decode.acc_seg: 67.8038, aux.loss_ce: 0.1824, aux.acc_seg: 66.7474, loss: 0.5929 2022-06-18 13:38:09,603 - mmseg - INFO - Iter [64550/160000] lr: 3.675e-05, eta: 6:18:31, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3886, decode.acc_seg: 69.0664, aux.loss_ce: 0.1768, aux.acc_seg: 67.9041, loss: 0.5654 2022-06-18 13:38:21,109 - mmseg - INFO - Iter [64600/160000] lr: 3.673e-05, eta: 6:18:18, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4108, decode.acc_seg: 68.0209, aux.loss_ce: 0.1858, aux.acc_seg: 66.7605, loss: 0.5966 2022-06-18 13:38:32,847 - mmseg - INFO - Iter [64650/160000] lr: 3.671e-05, eta: 6:18:06, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4005, decode.acc_seg: 66.7285, aux.loss_ce: 0.1785, aux.acc_seg: 65.8268, loss: 0.5789 2022-06-18 13:38:44,506 - mmseg - INFO - Iter [64700/160000] lr: 3.669e-05, eta: 6:17:54, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4125, decode.acc_seg: 68.5554, aux.loss_ce: 0.1852, aux.acc_seg: 67.3794, loss: 0.5977 2022-06-18 13:38:56,110 - mmseg - INFO - Iter [64750/160000] lr: 3.667e-05, eta: 6:17:41, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4037, decode.acc_seg: 68.4770, aux.loss_ce: 0.1825, aux.acc_seg: 67.2262, loss: 0.5862 2022-06-18 13:39:07,785 - mmseg - INFO - Iter [64800/160000] lr: 3.665e-05, eta: 6:17:29, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3938, decode.acc_seg: 67.6258, aux.loss_ce: 0.1760, aux.acc_seg: 66.5296, loss: 0.5698 2022-06-18 13:39:19,473 - mmseg - INFO - Iter [64850/160000] lr: 3.663e-05, eta: 6:17:17, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3999, decode.acc_seg: 67.4552, aux.loss_ce: 0.1777, aux.acc_seg: 66.3733, loss: 0.5776 2022-06-18 13:39:31,183 - mmseg - INFO - Iter [64900/160000] lr: 3.661e-05, eta: 6:17:05, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3898, decode.acc_seg: 69.0205, aux.loss_ce: 0.1774, aux.acc_seg: 67.7130, loss: 0.5672 2022-06-18 13:39:42,577 - mmseg - INFO - Iter [64950/160000] lr: 3.660e-05, eta: 6:16:52, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4352, decode.acc_seg: 67.1890, aux.loss_ce: 0.1938, aux.acc_seg: 65.9710, loss: 0.6289 2022-06-18 13:39:54,353 - mmseg - INFO - Saving checkpoint at 65000 iterations 2022-06-18 13:39:55,048 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 13:39:55,049 - mmseg - INFO - Iter [65000/160000] lr: 3.658e-05, eta: 6:16:41, time: 0.249, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4011, decode.acc_seg: 69.0047, aux.loss_ce: 0.1797, aux.acc_seg: 67.8952, loss: 0.5808 2022-06-18 13:40:06,783 - mmseg - INFO - Iter [65050/160000] lr: 3.656e-05, eta: 6:16:29, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4357, decode.acc_seg: 67.0814, aux.loss_ce: 0.1924, aux.acc_seg: 66.0904, loss: 0.6281 2022-06-18 13:40:18,520 - mmseg - INFO - Iter [65100/160000] lr: 3.654e-05, eta: 6:16:17, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4256, decode.acc_seg: 66.9532, aux.loss_ce: 0.1907, aux.acc_seg: 65.7316, loss: 0.6163 2022-06-18 13:40:30,036 - mmseg - INFO - Iter [65150/160000] lr: 3.652e-05, eta: 6:16:04, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4138, decode.acc_seg: 67.4224, aux.loss_ce: 0.1833, aux.acc_seg: 66.3052, loss: 0.5971 2022-06-18 13:40:41,687 - mmseg - INFO - Iter [65200/160000] lr: 3.650e-05, eta: 6:15:52, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4031, decode.acc_seg: 68.8565, aux.loss_ce: 0.1816, aux.acc_seg: 67.6406, loss: 0.5848 2022-06-18 13:40:53,424 - mmseg - INFO - Iter [65250/160000] lr: 3.648e-05, eta: 6:15:40, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3939, decode.acc_seg: 67.1220, aux.loss_ce: 0.1771, aux.acc_seg: 66.1122, loss: 0.5711 2022-06-18 13:41:05,120 - mmseg - INFO - Iter [65300/160000] lr: 3.646e-05, eta: 6:15:28, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4254, decode.acc_seg: 68.8069, aux.loss_ce: 0.1892, aux.acc_seg: 67.7455, loss: 0.6146 2022-06-18 13:41:16,820 - mmseg - INFO - Iter [65350/160000] lr: 3.644e-05, eta: 6:15:16, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4223, decode.acc_seg: 68.2296, aux.loss_ce: 0.1881, aux.acc_seg: 67.1135, loss: 0.6104 2022-06-18 13:41:28,598 - mmseg - INFO - Iter [65400/160000] lr: 3.642e-05, eta: 6:15:04, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4481, decode.acc_seg: 68.8567, aux.loss_ce: 0.1999, aux.acc_seg: 67.4169, loss: 0.6480 2022-06-18 13:41:40,327 - mmseg - INFO - Iter [65450/160000] lr: 3.640e-05, eta: 6:14:52, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4185, decode.acc_seg: 68.1611, aux.loss_ce: 0.1850, aux.acc_seg: 67.0664, loss: 0.6036 2022-06-18 13:41:52,140 - mmseg - INFO - Iter [65500/160000] lr: 3.638e-05, eta: 6:14:40, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4113, decode.acc_seg: 68.2234, aux.loss_ce: 0.1851, aux.acc_seg: 66.8448, loss: 0.5965 2022-06-18 13:42:03,688 - mmseg - INFO - Iter [65550/160000] lr: 3.636e-05, eta: 6:14:27, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3790, decode.acc_seg: 69.3969, aux.loss_ce: 0.1704, aux.acc_seg: 68.2868, loss: 0.5494 2022-06-18 13:42:15,214 - mmseg - INFO - Iter [65600/160000] lr: 3.635e-05, eta: 6:14:15, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3982, decode.acc_seg: 67.9032, aux.loss_ce: 0.1779, aux.acc_seg: 66.8180, loss: 0.5761 2022-06-18 13:42:26,787 - mmseg - INFO - Iter [65650/160000] lr: 3.633e-05, eta: 6:14:02, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4244, decode.acc_seg: 65.8087, aux.loss_ce: 0.1875, aux.acc_seg: 64.8131, loss: 0.6119 2022-06-18 13:42:40,625 - mmseg - INFO - Iter [65700/160000] lr: 3.631e-05, eta: 6:13:53, time: 0.277, data_time: 0.051, memory: 36048, decode.loss_ce: 0.4134, decode.acc_seg: 68.2022, aux.loss_ce: 0.1841, aux.acc_seg: 67.2736, loss: 0.5975 2022-06-18 13:42:52,407 - mmseg - INFO - Iter [65750/160000] lr: 3.629e-05, eta: 6:13:41, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4141, decode.acc_seg: 67.6558, aux.loss_ce: 0.1890, aux.acc_seg: 66.3152, loss: 0.6031 2022-06-18 13:43:03,916 - mmseg - INFO - Iter [65800/160000] lr: 3.627e-05, eta: 6:13:29, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3741, decode.acc_seg: 69.7394, aux.loss_ce: 0.1702, aux.acc_seg: 68.3600, loss: 0.5443 2022-06-18 13:43:15,635 - mmseg - INFO - Iter [65850/160000] lr: 3.625e-05, eta: 6:13:17, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3814, decode.acc_seg: 69.5191, aux.loss_ce: 0.1730, aux.acc_seg: 68.1922, loss: 0.5544 2022-06-18 13:43:27,082 - mmseg - INFO - Iter [65900/160000] lr: 3.623e-05, eta: 6:13:04, time: 0.229, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3852, decode.acc_seg: 67.0553, aux.loss_ce: 0.1729, aux.acc_seg: 66.0919, loss: 0.5581 2022-06-18 13:43:38,693 - mmseg - INFO - Iter [65950/160000] lr: 3.621e-05, eta: 6:12:52, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3698, decode.acc_seg: 69.9474, aux.loss_ce: 0.1677, aux.acc_seg: 68.6572, loss: 0.5375 2022-06-18 13:43:50,214 - mmseg - INFO - Saving checkpoint at 66000 iterations 2022-06-18 13:43:50,906 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 13:43:50,906 - mmseg - INFO - Iter [66000/160000] lr: 3.619e-05, eta: 6:12:40, time: 0.245, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4087, decode.acc_seg: 68.0338, aux.loss_ce: 0.1832, aux.acc_seg: 66.9911, loss: 0.5919 2022-06-18 13:44:02,571 - mmseg - INFO - Iter [66050/160000] lr: 3.617e-05, eta: 6:12:28, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4095, decode.acc_seg: 68.6712, aux.loss_ce: 0.1856, aux.acc_seg: 67.4758, loss: 0.5950 2022-06-18 13:44:14,280 - mmseg - INFO - Iter [66100/160000] lr: 3.615e-05, eta: 6:12:16, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4001, decode.acc_seg: 67.4321, aux.loss_ce: 0.1788, aux.acc_seg: 66.4464, loss: 0.5789 2022-06-18 13:44:26,100 - mmseg - INFO - Iter [66150/160000] lr: 3.613e-05, eta: 6:12:04, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4157, decode.acc_seg: 67.2991, aux.loss_ce: 0.1858, aux.acc_seg: 66.0125, loss: 0.6015 2022-06-18 13:44:37,764 - mmseg - INFO - Iter [66200/160000] lr: 3.611e-05, eta: 6:11:52, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4073, decode.acc_seg: 67.7419, aux.loss_ce: 0.1812, aux.acc_seg: 66.6652, loss: 0.5885 2022-06-18 13:44:49,242 - mmseg - INFO - Iter [66250/160000] lr: 3.609e-05, eta: 6:11:39, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3903, decode.acc_seg: 69.5068, aux.loss_ce: 0.1747, aux.acc_seg: 68.2864, loss: 0.5650 2022-06-18 13:45:00,812 - mmseg - INFO - Iter [66300/160000] lr: 3.608e-05, eta: 6:11:27, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4128, decode.acc_seg: 67.3714, aux.loss_ce: 0.1852, aux.acc_seg: 66.4081, loss: 0.5980 2022-06-18 13:45:12,489 - mmseg - INFO - Iter [66350/160000] lr: 3.606e-05, eta: 6:11:15, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4155, decode.acc_seg: 68.3430, aux.loss_ce: 0.1861, aux.acc_seg: 67.2417, loss: 0.6017 2022-06-18 13:45:24,071 - mmseg - INFO - Iter [66400/160000] lr: 3.604e-05, eta: 6:11:02, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4004, decode.acc_seg: 67.4935, aux.loss_ce: 0.1793, aux.acc_seg: 66.5268, loss: 0.5797 2022-06-18 13:45:36,003 - mmseg - INFO - Iter [66450/160000] lr: 3.602e-05, eta: 6:10:51, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3991, decode.acc_seg: 67.9159, aux.loss_ce: 0.1804, aux.acc_seg: 66.7273, loss: 0.5795 2022-06-18 13:45:47,561 - mmseg - INFO - Iter [66500/160000] lr: 3.600e-05, eta: 6:10:38, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4103, decode.acc_seg: 68.6232, aux.loss_ce: 0.1857, aux.acc_seg: 67.5957, loss: 0.5960 2022-06-18 13:45:59,280 - mmseg - INFO - Iter [66550/160000] lr: 3.598e-05, eta: 6:10:26, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4164, decode.acc_seg: 67.8155, aux.loss_ce: 0.1880, aux.acc_seg: 66.6616, loss: 0.6044 2022-06-18 13:46:11,129 - mmseg - INFO - Iter [66600/160000] lr: 3.596e-05, eta: 6:10:14, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4237, decode.acc_seg: 67.7280, aux.loss_ce: 0.1893, aux.acc_seg: 66.5456, loss: 0.6130 2022-06-18 13:46:23,006 - mmseg - INFO - Iter [66650/160000] lr: 3.594e-05, eta: 6:10:02, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4185, decode.acc_seg: 67.1496, aux.loss_ce: 0.1884, aux.acc_seg: 65.9726, loss: 0.6069 2022-06-18 13:46:34,719 - mmseg - INFO - Iter [66700/160000] lr: 3.592e-05, eta: 6:09:50, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3987, decode.acc_seg: 69.1254, aux.loss_ce: 0.1793, aux.acc_seg: 67.8780, loss: 0.5780 2022-06-18 13:46:46,302 - mmseg - INFO - Iter [66750/160000] lr: 3.590e-05, eta: 6:09:38, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4258, decode.acc_seg: 68.2706, aux.loss_ce: 0.1897, aux.acc_seg: 67.2421, loss: 0.6156 2022-06-18 13:46:57,940 - mmseg - INFO - Iter [66800/160000] lr: 3.588e-05, eta: 6:09:25, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4210, decode.acc_seg: 66.5082, aux.loss_ce: 0.1869, aux.acc_seg: 65.2748, loss: 0.6079 2022-06-18 13:47:09,561 - mmseg - INFO - Iter [66850/160000] lr: 3.586e-05, eta: 6:09:13, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4410, decode.acc_seg: 67.4975, aux.loss_ce: 0.1957, aux.acc_seg: 66.3501, loss: 0.6367 2022-06-18 13:47:21,114 - mmseg - INFO - Iter [66900/160000] lr: 3.584e-05, eta: 6:09:01, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4103, decode.acc_seg: 68.1218, aux.loss_ce: 0.1845, aux.acc_seg: 67.1131, loss: 0.5948 2022-06-18 13:47:35,031 - mmseg - INFO - Iter [66950/160000] lr: 3.583e-05, eta: 6:08:52, time: 0.278, data_time: 0.050, memory: 36048, decode.loss_ce: 0.4043, decode.acc_seg: 67.4298, aux.loss_ce: 0.1805, aux.acc_seg: 66.2919, loss: 0.5849 2022-06-18 13:47:46,708 - mmseg - INFO - Saving checkpoint at 67000 iterations 2022-06-18 13:47:47,389 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 13:47:47,389 - mmseg - INFO - Iter [67000/160000] lr: 3.581e-05, eta: 6:08:41, time: 0.247, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3972, decode.acc_seg: 68.5782, aux.loss_ce: 0.1831, aux.acc_seg: 67.0570, loss: 0.5802 2022-06-18 13:47:59,112 - mmseg - INFO - Iter [67050/160000] lr: 3.579e-05, eta: 6:08:28, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3756, decode.acc_seg: 68.8382, aux.loss_ce: 0.1687, aux.acc_seg: 67.6732, loss: 0.5444 2022-06-18 13:48:10,854 - mmseg - INFO - Iter [67100/160000] lr: 3.577e-05, eta: 6:08:16, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3900, decode.acc_seg: 66.7983, aux.loss_ce: 0.1736, aux.acc_seg: 65.8361, loss: 0.5636 2022-06-18 13:48:22,351 - mmseg - INFO - Iter [67150/160000] lr: 3.575e-05, eta: 6:08:04, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3939, decode.acc_seg: 68.7708, aux.loss_ce: 0.1796, aux.acc_seg: 67.7391, loss: 0.5735 2022-06-18 13:48:33,785 - mmseg - INFO - Iter [67200/160000] lr: 3.573e-05, eta: 6:07:51, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3908, decode.acc_seg: 69.4009, aux.loss_ce: 0.1780, aux.acc_seg: 67.9366, loss: 0.5688 2022-06-18 13:48:45,378 - mmseg - INFO - Iter [67250/160000] lr: 3.571e-05, eta: 6:07:39, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4032, decode.acc_seg: 68.5430, aux.loss_ce: 0.1813, aux.acc_seg: 67.3669, loss: 0.5845 2022-06-18 13:48:57,093 - mmseg - INFO - Iter [67300/160000] lr: 3.569e-05, eta: 6:07:27, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3834, decode.acc_seg: 69.4676, aux.loss_ce: 0.1723, aux.acc_seg: 68.4097, loss: 0.5557 2022-06-18 13:49:08,800 - mmseg - INFO - Iter [67350/160000] lr: 3.567e-05, eta: 6:07:15, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3946, decode.acc_seg: 68.3410, aux.loss_ce: 0.1785, aux.acc_seg: 66.9762, loss: 0.5730 2022-06-18 13:49:20,729 - mmseg - INFO - Iter [67400/160000] lr: 3.565e-05, eta: 6:07:03, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3762, decode.acc_seg: 69.0229, aux.loss_ce: 0.1689, aux.acc_seg: 67.9185, loss: 0.5452 2022-06-18 13:49:32,319 - mmseg - INFO - Iter [67450/160000] lr: 3.563e-05, eta: 6:06:51, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4236, decode.acc_seg: 67.9076, aux.loss_ce: 0.1911, aux.acc_seg: 66.5989, loss: 0.6147 2022-06-18 13:49:44,029 - mmseg - INFO - Iter [67500/160000] lr: 3.561e-05, eta: 6:06:38, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4032, decode.acc_seg: 69.7708, aux.loss_ce: 0.1814, aux.acc_seg: 68.5184, loss: 0.5846 2022-06-18 13:49:55,708 - mmseg - INFO - Iter [67550/160000] lr: 3.559e-05, eta: 6:06:26, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3878, decode.acc_seg: 67.9684, aux.loss_ce: 0.1747, aux.acc_seg: 66.8868, loss: 0.5625 2022-06-18 13:50:07,179 - mmseg - INFO - Iter [67600/160000] lr: 3.557e-05, eta: 6:06:14, time: 0.229, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4263, decode.acc_seg: 67.4947, aux.loss_ce: 0.1926, aux.acc_seg: 66.1485, loss: 0.6189 2022-06-18 13:50:18,647 - mmseg - INFO - Iter [67650/160000] lr: 3.556e-05, eta: 6:06:01, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4205, decode.acc_seg: 68.9620, aux.loss_ce: 0.1909, aux.acc_seg: 67.6036, loss: 0.6115 2022-06-18 13:50:30,394 - mmseg - INFO - Iter [67700/160000] lr: 3.554e-05, eta: 6:05:49, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4180, decode.acc_seg: 67.5601, aux.loss_ce: 0.1887, aux.acc_seg: 66.2703, loss: 0.6067 2022-06-18 13:50:42,276 - mmseg - INFO - Iter [67750/160000] lr: 3.552e-05, eta: 6:05:37, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3860, decode.acc_seg: 66.8795, aux.loss_ce: 0.1739, aux.acc_seg: 65.7776, loss: 0.5599 2022-06-18 13:50:53,837 - mmseg - INFO - Iter [67800/160000] lr: 3.550e-05, eta: 6:05:25, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3738, decode.acc_seg: 69.1283, aux.loss_ce: 0.1699, aux.acc_seg: 68.0850, loss: 0.5438 2022-06-18 13:51:05,406 - mmseg - INFO - Iter [67850/160000] lr: 3.548e-05, eta: 6:05:13, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4111, decode.acc_seg: 68.5777, aux.loss_ce: 0.1844, aux.acc_seg: 67.2925, loss: 0.5955 2022-06-18 13:51:16,953 - mmseg - INFO - Iter [67900/160000] lr: 3.546e-05, eta: 6:05:00, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4224, decode.acc_seg: 67.0599, aux.loss_ce: 0.1903, aux.acc_seg: 65.8645, loss: 0.6128 2022-06-18 13:51:28,630 - mmseg - INFO - Iter [67950/160000] lr: 3.544e-05, eta: 6:04:48, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4133, decode.acc_seg: 67.0312, aux.loss_ce: 0.1850, aux.acc_seg: 65.9210, loss: 0.5983 2022-06-18 13:51:40,395 - mmseg - INFO - Saving checkpoint at 68000 iterations 2022-06-18 13:51:41,084 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 13:51:41,084 - mmseg - INFO - Iter [68000/160000] lr: 3.542e-05, eta: 6:04:37, time: 0.249, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3689, decode.acc_seg: 69.6285, aux.loss_ce: 0.1651, aux.acc_seg: 68.6939, loss: 0.5339 2022-06-18 13:51:52,510 - mmseg - INFO - Iter [68050/160000] lr: 3.540e-05, eta: 6:04:24, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4313, decode.acc_seg: 66.9926, aux.loss_ce: 0.1913, aux.acc_seg: 65.8342, loss: 0.6226 2022-06-18 13:52:04,215 - mmseg - INFO - Iter [68100/160000] lr: 3.538e-05, eta: 6:04:12, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4123, decode.acc_seg: 67.6825, aux.loss_ce: 0.1862, aux.acc_seg: 66.6086, loss: 0.5985 2022-06-18 13:52:15,919 - mmseg - INFO - Iter [68150/160000] lr: 3.536e-05, eta: 6:04:00, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4393, decode.acc_seg: 66.5868, aux.loss_ce: 0.1974, aux.acc_seg: 65.4277, loss: 0.6367 2022-06-18 13:52:27,419 - mmseg - INFO - Iter [68200/160000] lr: 3.534e-05, eta: 6:03:48, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4115, decode.acc_seg: 68.4438, aux.loss_ce: 0.1840, aux.acc_seg: 67.2958, loss: 0.5955 2022-06-18 13:52:41,443 - mmseg - INFO - Iter [68250/160000] lr: 3.532e-05, eta: 6:03:39, time: 0.280, data_time: 0.049, memory: 36048, decode.loss_ce: 0.4272, decode.acc_seg: 68.9467, aux.loss_ce: 0.1936, aux.acc_seg: 67.6050, loss: 0.6208 2022-06-18 13:52:53,138 - mmseg - INFO - Iter [68300/160000] lr: 3.531e-05, eta: 6:03:27, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4024, decode.acc_seg: 68.1086, aux.loss_ce: 0.1792, aux.acc_seg: 67.1748, loss: 0.5817 2022-06-18 13:53:04,775 - mmseg - INFO - Iter [68350/160000] lr: 3.529e-05, eta: 6:03:14, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3655, decode.acc_seg: 69.9287, aux.loss_ce: 0.1653, aux.acc_seg: 68.7363, loss: 0.5308 2022-06-18 13:53:16,268 - mmseg - INFO - Iter [68400/160000] lr: 3.527e-05, eta: 6:03:02, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3721, decode.acc_seg: 69.1386, aux.loss_ce: 0.1690, aux.acc_seg: 68.0454, loss: 0.5411 2022-06-18 13:53:28,194 - mmseg - INFO - Iter [68450/160000] lr: 3.525e-05, eta: 6:02:50, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4054, decode.acc_seg: 68.3982, aux.loss_ce: 0.1842, aux.acc_seg: 67.0502, loss: 0.5896 2022-06-18 13:53:39,594 - mmseg - INFO - Iter [68500/160000] lr: 3.523e-05, eta: 6:02:38, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3906, decode.acc_seg: 68.8284, aux.loss_ce: 0.1748, aux.acc_seg: 67.7885, loss: 0.5653 2022-06-18 13:53:51,587 - mmseg - INFO - Iter [68550/160000] lr: 3.521e-05, eta: 6:02:26, time: 0.240, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3950, decode.acc_seg: 67.3052, aux.loss_ce: 0.1783, aux.acc_seg: 66.0365, loss: 0.5733 2022-06-18 13:54:03,518 - mmseg - INFO - Iter [68600/160000] lr: 3.519e-05, eta: 6:02:14, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3858, decode.acc_seg: 67.9745, aux.loss_ce: 0.1751, aux.acc_seg: 66.8929, loss: 0.5609 2022-06-18 13:54:15,212 - mmseg - INFO - Iter [68650/160000] lr: 3.517e-05, eta: 6:02:02, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3826, decode.acc_seg: 67.9999, aux.loss_ce: 0.1737, aux.acc_seg: 66.7826, loss: 0.5562 2022-06-18 13:54:26,843 - mmseg - INFO - Iter [68700/160000] lr: 3.515e-05, eta: 6:01:50, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4014, decode.acc_seg: 69.1716, aux.loss_ce: 0.1818, aux.acc_seg: 67.8240, loss: 0.5832 2022-06-18 13:54:38,766 - mmseg - INFO - Iter [68750/160000] lr: 3.513e-05, eta: 6:01:38, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3778, decode.acc_seg: 68.5547, aux.loss_ce: 0.1697, aux.acc_seg: 67.3919, loss: 0.5474 2022-06-18 13:54:50,487 - mmseg - INFO - Iter [68800/160000] lr: 3.511e-05, eta: 6:01:26, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4390, decode.acc_seg: 68.3136, aux.loss_ce: 0.1975, aux.acc_seg: 66.9986, loss: 0.6364 2022-06-18 13:55:02,207 - mmseg - INFO - Iter [68850/160000] lr: 3.509e-05, eta: 6:01:14, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3957, decode.acc_seg: 67.3378, aux.loss_ce: 0.1792, aux.acc_seg: 66.2477, loss: 0.5749 2022-06-18 13:55:14,075 - mmseg - INFO - Iter [68900/160000] lr: 3.507e-05, eta: 6:01:02, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4071, decode.acc_seg: 69.8727, aux.loss_ce: 0.1820, aux.acc_seg: 68.7263, loss: 0.5891 2022-06-18 13:55:25,823 - mmseg - INFO - Iter [68950/160000] lr: 3.506e-05, eta: 6:00:50, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4395, decode.acc_seg: 68.4778, aux.loss_ce: 0.1979, aux.acc_seg: 67.2000, loss: 0.6374 2022-06-18 13:55:37,545 - mmseg - INFO - Saving checkpoint at 69000 iterations 2022-06-18 13:55:38,231 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 13:55:38,231 - mmseg - INFO - Iter [69000/160000] lr: 3.504e-05, eta: 6:00:38, time: 0.249, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4143, decode.acc_seg: 66.4075, aux.loss_ce: 0.1870, aux.acc_seg: 65.3173, loss: 0.6013 2022-06-18 13:55:49,953 - mmseg - INFO - Iter [69050/160000] lr: 3.502e-05, eta: 6:00:26, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4220, decode.acc_seg: 67.9792, aux.loss_ce: 0.1862, aux.acc_seg: 66.9991, loss: 0.6082 2022-06-18 13:56:01,812 - mmseg - INFO - Iter [69100/160000] lr: 3.500e-05, eta: 6:00:14, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3997, decode.acc_seg: 70.1770, aux.loss_ce: 0.1797, aux.acc_seg: 69.0641, loss: 0.5794 2022-06-18 13:56:13,284 - mmseg - INFO - Iter [69150/160000] lr: 3.498e-05, eta: 6:00:02, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4087, decode.acc_seg: 67.0456, aux.loss_ce: 0.1839, aux.acc_seg: 65.7253, loss: 0.5927 2022-06-18 13:56:25,044 - mmseg - INFO - Iter [69200/160000] lr: 3.496e-05, eta: 5:59:50, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3970, decode.acc_seg: 69.3506, aux.loss_ce: 0.1792, aux.acc_seg: 68.1576, loss: 0.5762 2022-06-18 13:56:36,939 - mmseg - INFO - Iter [69250/160000] lr: 3.494e-05, eta: 5:59:38, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3962, decode.acc_seg: 69.1480, aux.loss_ce: 0.1776, aux.acc_seg: 67.9184, loss: 0.5738 2022-06-18 13:56:48,687 - mmseg - INFO - Iter [69300/160000] lr: 3.492e-05, eta: 5:59:26, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4103, decode.acc_seg: 67.4623, aux.loss_ce: 0.1839, aux.acc_seg: 66.3520, loss: 0.5942 2022-06-18 13:57:00,479 - mmseg - INFO - Iter [69350/160000] lr: 3.490e-05, eta: 5:59:14, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3827, decode.acc_seg: 67.6290, aux.loss_ce: 0.1733, aux.acc_seg: 66.4085, loss: 0.5560 2022-06-18 13:57:12,395 - mmseg - INFO - Iter [69400/160000] lr: 3.488e-05, eta: 5:59:02, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3935, decode.acc_seg: 69.4389, aux.loss_ce: 0.1785, aux.acc_seg: 68.1805, loss: 0.5719 2022-06-18 13:57:24,124 - mmseg - INFO - Iter [69450/160000] lr: 3.486e-05, eta: 5:58:50, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3717, decode.acc_seg: 70.2244, aux.loss_ce: 0.1679, aux.acc_seg: 69.1823, loss: 0.5396 2022-06-18 13:57:37,706 - mmseg - INFO - Iter [69500/160000] lr: 3.484e-05, eta: 5:58:40, time: 0.272, data_time: 0.049, memory: 36048, decode.loss_ce: 0.3962, decode.acc_seg: 68.3541, aux.loss_ce: 0.1809, aux.acc_seg: 67.0259, loss: 0.5772 2022-06-18 13:57:49,170 - mmseg - INFO - Iter [69550/160000] lr: 3.482e-05, eta: 5:58:28, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3681, decode.acc_seg: 69.8670, aux.loss_ce: 0.1669, aux.acc_seg: 68.7561, loss: 0.5350 2022-06-18 13:58:00,779 - mmseg - INFO - Iter [69600/160000] lr: 3.480e-05, eta: 5:58:15, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3614, decode.acc_seg: 68.8364, aux.loss_ce: 0.1620, aux.acc_seg: 67.7344, loss: 0.5234 2022-06-18 13:58:12,262 - mmseg - INFO - Iter [69650/160000] lr: 3.479e-05, eta: 5:58:03, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3891, decode.acc_seg: 70.5225, aux.loss_ce: 0.1773, aux.acc_seg: 69.1963, loss: 0.5664 2022-06-18 13:58:23,907 - mmseg - INFO - Iter [69700/160000] lr: 3.477e-05, eta: 5:57:51, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4055, decode.acc_seg: 68.9177, aux.loss_ce: 0.1832, aux.acc_seg: 67.5956, loss: 0.5887 2022-06-18 13:58:35,569 - mmseg - INFO - Iter [69750/160000] lr: 3.475e-05, eta: 5:57:39, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3997, decode.acc_seg: 68.8414, aux.loss_ce: 0.1803, aux.acc_seg: 67.9483, loss: 0.5800 2022-06-18 13:58:47,279 - mmseg - INFO - Iter [69800/160000] lr: 3.473e-05, eta: 5:57:27, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3937, decode.acc_seg: 69.1816, aux.loss_ce: 0.1802, aux.acc_seg: 67.8379, loss: 0.5738 2022-06-18 13:58:58,841 - mmseg - INFO - Iter [69850/160000] lr: 3.471e-05, eta: 5:57:14, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3721, decode.acc_seg: 68.7602, aux.loss_ce: 0.1693, aux.acc_seg: 67.4010, loss: 0.5414 2022-06-18 13:59:10,465 - mmseg - INFO - Iter [69900/160000] lr: 3.469e-05, eta: 5:57:02, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3801, decode.acc_seg: 69.7500, aux.loss_ce: 0.1722, aux.acc_seg: 68.7104, loss: 0.5523 2022-06-18 13:59:22,132 - mmseg - INFO - Iter [69950/160000] lr: 3.467e-05, eta: 5:56:50, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3739, decode.acc_seg: 69.1616, aux.loss_ce: 0.1687, aux.acc_seg: 67.9559, loss: 0.5426 2022-06-18 13:59:33,999 - mmseg - INFO - Saving checkpoint at 70000 iterations 2022-06-18 13:59:34,678 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 13:59:34,678 - mmseg - INFO - Iter [70000/160000] lr: 3.465e-05, eta: 5:56:39, time: 0.251, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3830, decode.acc_seg: 69.0214, aux.loss_ce: 0.1756, aux.acc_seg: 67.8110, loss: 0.5586 2022-06-18 13:59:46,486 - mmseg - INFO - Iter [70050/160000] lr: 3.463e-05, eta: 5:56:27, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3908, decode.acc_seg: 68.7228, aux.loss_ce: 0.1768, aux.acc_seg: 67.4312, loss: 0.5676 2022-06-18 13:59:58,149 - mmseg - INFO - Iter [70100/160000] lr: 3.461e-05, eta: 5:56:15, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3608, decode.acc_seg: 68.6857, aux.loss_ce: 0.1646, aux.acc_seg: 67.5810, loss: 0.5254 2022-06-18 14:00:09,948 - mmseg - INFO - Iter [70150/160000] lr: 3.459e-05, eta: 5:56:03, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3660, decode.acc_seg: 69.8132, aux.loss_ce: 0.1651, aux.acc_seg: 68.5799, loss: 0.5311 2022-06-18 14:00:21,579 - mmseg - INFO - Iter [70200/160000] lr: 3.457e-05, eta: 5:55:50, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3863, decode.acc_seg: 68.2948, aux.loss_ce: 0.1738, aux.acc_seg: 67.2224, loss: 0.5600 2022-06-18 14:00:33,144 - mmseg - INFO - Iter [70250/160000] lr: 3.455e-05, eta: 5:55:38, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4136, decode.acc_seg: 67.7960, aux.loss_ce: 0.1856, aux.acc_seg: 66.4281, loss: 0.5992 2022-06-18 14:00:44,624 - mmseg - INFO - Iter [70300/160000] lr: 3.454e-05, eta: 5:55:26, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4036, decode.acc_seg: 69.9102, aux.loss_ce: 0.1810, aux.acc_seg: 68.8081, loss: 0.5846 2022-06-18 14:00:56,428 - mmseg - INFO - Iter [70350/160000] lr: 3.452e-05, eta: 5:55:14, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4054, decode.acc_seg: 68.8065, aux.loss_ce: 0.1849, aux.acc_seg: 67.5613, loss: 0.5904 2022-06-18 14:01:07,974 - mmseg - INFO - Iter [70400/160000] lr: 3.450e-05, eta: 5:55:01, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3964, decode.acc_seg: 69.3653, aux.loss_ce: 0.1776, aux.acc_seg: 68.0836, loss: 0.5740 2022-06-18 14:01:19,826 - mmseg - INFO - Iter [70450/160000] lr: 3.448e-05, eta: 5:54:49, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3683, decode.acc_seg: 69.8237, aux.loss_ce: 0.1666, aux.acc_seg: 68.5712, loss: 0.5348 2022-06-18 14:01:31,300 - mmseg - INFO - Iter [70500/160000] lr: 3.446e-05, eta: 5:54:37, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4100, decode.acc_seg: 66.8518, aux.loss_ce: 0.1857, aux.acc_seg: 65.6415, loss: 0.5957 2022-06-18 14:01:42,913 - mmseg - INFO - Iter [70550/160000] lr: 3.444e-05, eta: 5:54:25, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4110, decode.acc_seg: 69.9618, aux.loss_ce: 0.1838, aux.acc_seg: 68.9039, loss: 0.5948 2022-06-18 14:01:54,682 - mmseg - INFO - Iter [70600/160000] lr: 3.442e-05, eta: 5:54:13, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3773, decode.acc_seg: 68.9755, aux.loss_ce: 0.1710, aux.acc_seg: 67.7495, loss: 0.5483 2022-06-18 14:02:06,422 - mmseg - INFO - Iter [70650/160000] lr: 3.440e-05, eta: 5:54:01, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3897, decode.acc_seg: 67.2682, aux.loss_ce: 0.1740, aux.acc_seg: 66.3315, loss: 0.5637 2022-06-18 14:02:18,445 - mmseg - INFO - Iter [70700/160000] lr: 3.438e-05, eta: 5:53:49, time: 0.241, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4098, decode.acc_seg: 68.3916, aux.loss_ce: 0.1841, aux.acc_seg: 67.2976, loss: 0.5939 2022-06-18 14:02:32,140 - mmseg - INFO - Iter [70750/160000] lr: 3.436e-05, eta: 5:53:39, time: 0.274, data_time: 0.050, memory: 36048, decode.loss_ce: 0.3906, decode.acc_seg: 69.1527, aux.loss_ce: 0.1769, aux.acc_seg: 67.8466, loss: 0.5675 2022-06-18 14:02:43,642 - mmseg - INFO - Iter [70800/160000] lr: 3.434e-05, eta: 5:53:27, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3846, decode.acc_seg: 70.3360, aux.loss_ce: 0.1755, aux.acc_seg: 69.0950, loss: 0.5601 2022-06-18 14:02:55,123 - mmseg - INFO - Iter [70850/160000] lr: 3.432e-05, eta: 5:53:15, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3699, decode.acc_seg: 68.5238, aux.loss_ce: 0.1669, aux.acc_seg: 67.4406, loss: 0.5368 2022-06-18 14:03:06,721 - mmseg - INFO - Iter [70900/160000] lr: 3.430e-05, eta: 5:53:02, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3783, decode.acc_seg: 69.5706, aux.loss_ce: 0.1703, aux.acc_seg: 68.3511, loss: 0.5486 2022-06-18 14:03:18,370 - mmseg - INFO - Iter [70950/160000] lr: 3.429e-05, eta: 5:52:50, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4276, decode.acc_seg: 68.7654, aux.loss_ce: 0.1920, aux.acc_seg: 67.6767, loss: 0.6195 2022-06-18 14:03:30,226 - mmseg - INFO - Saving checkpoint at 71000 iterations 2022-06-18 14:03:30,917 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 14:03:30,918 - mmseg - INFO - Iter [71000/160000] lr: 3.427e-05, eta: 5:52:39, time: 0.251, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3791, decode.acc_seg: 68.6882, aux.loss_ce: 0.1710, aux.acc_seg: 67.5127, loss: 0.5501 2022-06-18 14:03:42,451 - mmseg - INFO - Iter [71050/160000] lr: 3.425e-05, eta: 5:52:27, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3781, decode.acc_seg: 69.5146, aux.loss_ce: 0.1688, aux.acc_seg: 68.4671, loss: 0.5470 2022-06-18 14:03:54,157 - mmseg - INFO - Iter [71100/160000] lr: 3.423e-05, eta: 5:52:15, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3690, decode.acc_seg: 69.1299, aux.loss_ce: 0.1693, aux.acc_seg: 67.8358, loss: 0.5383 2022-06-18 14:04:05,813 - mmseg - INFO - Iter [71150/160000] lr: 3.421e-05, eta: 5:52:03, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3854, decode.acc_seg: 68.1844, aux.loss_ce: 0.1761, aux.acc_seg: 66.8987, loss: 0.5615 2022-06-18 14:04:17,419 - mmseg - INFO - Iter [71200/160000] lr: 3.419e-05, eta: 5:51:50, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4024, decode.acc_seg: 68.1979, aux.loss_ce: 0.1820, aux.acc_seg: 66.9940, loss: 0.5845 2022-06-18 14:04:29,126 - mmseg - INFO - Iter [71250/160000] lr: 3.417e-05, eta: 5:51:38, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4061, decode.acc_seg: 67.2689, aux.loss_ce: 0.1856, aux.acc_seg: 65.8771, loss: 0.5917 2022-06-18 14:04:40,778 - mmseg - INFO - Iter [71300/160000] lr: 3.415e-05, eta: 5:51:26, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3757, decode.acc_seg: 69.3026, aux.loss_ce: 0.1710, aux.acc_seg: 68.1316, loss: 0.5467 2022-06-18 14:04:52,572 - mmseg - INFO - Iter [71350/160000] lr: 3.413e-05, eta: 5:51:14, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3914, decode.acc_seg: 69.4314, aux.loss_ce: 0.1764, aux.acc_seg: 68.3361, loss: 0.5678 2022-06-18 14:05:04,279 - mmseg - INFO - Iter [71400/160000] lr: 3.411e-05, eta: 5:51:02, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4001, decode.acc_seg: 68.8256, aux.loss_ce: 0.1806, aux.acc_seg: 67.7265, loss: 0.5807 2022-06-18 14:05:15,826 - mmseg - INFO - Iter [71450/160000] lr: 3.409e-05, eta: 5:50:50, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4053, decode.acc_seg: 69.3202, aux.loss_ce: 0.1829, aux.acc_seg: 68.0439, loss: 0.5882 2022-06-18 14:05:27,512 - mmseg - INFO - Iter [71500/160000] lr: 3.407e-05, eta: 5:50:37, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3810, decode.acc_seg: 68.8659, aux.loss_ce: 0.1721, aux.acc_seg: 67.8368, loss: 0.5531 2022-06-18 14:05:39,198 - mmseg - INFO - Iter [71550/160000] lr: 3.405e-05, eta: 5:50:25, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3862, decode.acc_seg: 69.2837, aux.loss_ce: 0.1754, aux.acc_seg: 68.0453, loss: 0.5616 2022-06-18 14:05:50,579 - mmseg - INFO - Iter [71600/160000] lr: 3.403e-05, eta: 5:50:13, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3869, decode.acc_seg: 67.5866, aux.loss_ce: 0.1727, aux.acc_seg: 66.6365, loss: 0.5596 2022-06-18 14:06:02,288 - mmseg - INFO - Iter [71650/160000] lr: 3.402e-05, eta: 5:50:01, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3950, decode.acc_seg: 68.2625, aux.loss_ce: 0.1767, aux.acc_seg: 67.1750, loss: 0.5717 2022-06-18 14:06:13,989 - mmseg - INFO - Iter [71700/160000] lr: 3.400e-05, eta: 5:49:49, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3922, decode.acc_seg: 68.1062, aux.loss_ce: 0.1791, aux.acc_seg: 66.8444, loss: 0.5712 2022-06-18 14:06:25,528 - mmseg - INFO - Iter [71750/160000] lr: 3.398e-05, eta: 5:49:36, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3802, decode.acc_seg: 69.3943, aux.loss_ce: 0.1744, aux.acc_seg: 68.0390, loss: 0.5546 2022-06-18 14:06:37,211 - mmseg - INFO - Iter [71800/160000] lr: 3.396e-05, eta: 5:49:24, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4106, decode.acc_seg: 67.3228, aux.loss_ce: 0.1838, aux.acc_seg: 66.1997, loss: 0.5944 2022-06-18 14:06:48,662 - mmseg - INFO - Iter [71850/160000] lr: 3.394e-05, eta: 5:49:12, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3895, decode.acc_seg: 68.8934, aux.loss_ce: 0.1737, aux.acc_seg: 68.0574, loss: 0.5632 2022-06-18 14:07:00,179 - mmseg - INFO - Iter [71900/160000] lr: 3.392e-05, eta: 5:48:59, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3982, decode.acc_seg: 69.1742, aux.loss_ce: 0.1814, aux.acc_seg: 67.9041, loss: 0.5796 2022-06-18 14:07:11,845 - mmseg - INFO - Iter [71950/160000] lr: 3.390e-05, eta: 5:48:47, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3976, decode.acc_seg: 69.4600, aux.loss_ce: 0.1806, aux.acc_seg: 68.2758, loss: 0.5782 2022-06-18 14:07:25,842 - mmseg - INFO - Saving checkpoint at 72000 iterations 2022-06-18 14:07:26,541 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 14:07:26,541 - mmseg - INFO - Iter [72000/160000] lr: 3.388e-05, eta: 5:48:39, time: 0.294, data_time: 0.047, memory: 36048, decode.loss_ce: 0.3668, decode.acc_seg: 70.4770, aux.loss_ce: 0.1681, aux.acc_seg: 69.2952, loss: 0.5349 2022-06-18 14:07:38,349 - mmseg - INFO - Iter [72050/160000] lr: 3.386e-05, eta: 5:48:27, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3494, decode.acc_seg: 67.5195, aux.loss_ce: 0.1606, aux.acc_seg: 66.2670, loss: 0.5101 2022-06-18 14:07:49,895 - mmseg - INFO - Iter [72100/160000] lr: 3.384e-05, eta: 5:48:14, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3950, decode.acc_seg: 68.5341, aux.loss_ce: 0.1791, aux.acc_seg: 67.3035, loss: 0.5742 2022-06-18 14:08:01,416 - mmseg - INFO - Iter [72150/160000] lr: 3.382e-05, eta: 5:48:02, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3687, decode.acc_seg: 70.0221, aux.loss_ce: 0.1719, aux.acc_seg: 68.6322, loss: 0.5406 2022-06-18 14:08:13,072 - mmseg - INFO - Iter [72200/160000] lr: 3.380e-05, eta: 5:47:50, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3864, decode.acc_seg: 68.1019, aux.loss_ce: 0.1717, aux.acc_seg: 67.0273, loss: 0.5581 2022-06-18 14:08:25,074 - mmseg - INFO - Iter [72250/160000] lr: 3.378e-05, eta: 5:47:38, time: 0.240, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3817, decode.acc_seg: 67.7819, aux.loss_ce: 0.1739, aux.acc_seg: 66.6467, loss: 0.5555 2022-06-18 14:08:36,618 - mmseg - INFO - Iter [72300/160000] lr: 3.377e-05, eta: 5:47:26, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3934, decode.acc_seg: 68.8626, aux.loss_ce: 0.1792, aux.acc_seg: 67.5111, loss: 0.5726 2022-06-18 14:08:48,298 - mmseg - INFO - Iter [72350/160000] lr: 3.375e-05, eta: 5:47:14, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4021, decode.acc_seg: 68.5342, aux.loss_ce: 0.1807, aux.acc_seg: 67.3331, loss: 0.5828 2022-06-18 14:08:59,893 - mmseg - INFO - Iter [72400/160000] lr: 3.373e-05, eta: 5:47:02, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3819, decode.acc_seg: 68.9792, aux.loss_ce: 0.1705, aux.acc_seg: 67.8773, loss: 0.5524 2022-06-18 14:09:11,485 - mmseg - INFO - Iter [72450/160000] lr: 3.371e-05, eta: 5:46:49, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3963, decode.acc_seg: 68.1639, aux.loss_ce: 0.1785, aux.acc_seg: 66.7663, loss: 0.5749 2022-06-18 14:09:23,053 - mmseg - INFO - Iter [72500/160000] lr: 3.369e-05, eta: 5:46:37, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3705, decode.acc_seg: 69.8160, aux.loss_ce: 0.1671, aux.acc_seg: 68.6503, loss: 0.5376 2022-06-18 14:09:34,609 - mmseg - INFO - Iter [72550/160000] lr: 3.367e-05, eta: 5:46:25, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3869, decode.acc_seg: 68.7688, aux.loss_ce: 0.1759, aux.acc_seg: 67.5510, loss: 0.5628 2022-06-18 14:09:46,261 - mmseg - INFO - Iter [72600/160000] lr: 3.365e-05, eta: 5:46:13, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4063, decode.acc_seg: 69.9124, aux.loss_ce: 0.1809, aux.acc_seg: 68.7943, loss: 0.5872 2022-06-18 14:09:57,688 - mmseg - INFO - Iter [72650/160000] lr: 3.363e-05, eta: 5:46:00, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3684, decode.acc_seg: 69.7398, aux.loss_ce: 0.1701, aux.acc_seg: 68.2403, loss: 0.5385 2022-06-18 14:10:09,291 - mmseg - INFO - Iter [72700/160000] lr: 3.361e-05, eta: 5:45:48, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3955, decode.acc_seg: 68.3964, aux.loss_ce: 0.1777, aux.acc_seg: 67.3118, loss: 0.5732 2022-06-18 14:10:20,774 - mmseg - INFO - Iter [72750/160000] lr: 3.359e-05, eta: 5:45:36, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3781, decode.acc_seg: 68.9459, aux.loss_ce: 0.1702, aux.acc_seg: 67.7237, loss: 0.5484 2022-06-18 14:10:32,155 - mmseg - INFO - Iter [72800/160000] lr: 3.357e-05, eta: 5:45:23, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3873, decode.acc_seg: 69.0811, aux.loss_ce: 0.1740, aux.acc_seg: 68.0564, loss: 0.5613 2022-06-18 14:10:43,901 - mmseg - INFO - Iter [72850/160000] lr: 3.355e-05, eta: 5:45:11, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3887, decode.acc_seg: 67.8202, aux.loss_ce: 0.1763, aux.acc_seg: 66.7350, loss: 0.5650 2022-06-18 14:10:55,499 - mmseg - INFO - Iter [72900/160000] lr: 3.353e-05, eta: 5:44:59, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3930, decode.acc_seg: 68.1558, aux.loss_ce: 0.1765, aux.acc_seg: 66.9680, loss: 0.5695 2022-06-18 14:11:07,074 - mmseg - INFO - Iter [72950/160000] lr: 3.352e-05, eta: 5:44:47, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3767, decode.acc_seg: 68.9186, aux.loss_ce: 0.1697, aux.acc_seg: 67.8118, loss: 0.5464 2022-06-18 14:11:18,813 - mmseg - INFO - Saving checkpoint at 73000 iterations 2022-06-18 14:11:19,494 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 14:11:19,494 - mmseg - INFO - Iter [73000/160000] lr: 3.350e-05, eta: 5:44:35, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3914, decode.acc_seg: 68.9912, aux.loss_ce: 0.1777, aux.acc_seg: 67.8625, loss: 0.5691 2022-06-18 14:11:31,381 - mmseg - INFO - Iter [73050/160000] lr: 3.348e-05, eta: 5:44:23, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3635, decode.acc_seg: 67.7281, aux.loss_ce: 0.1675, aux.acc_seg: 66.4617, loss: 0.5311 2022-06-18 14:11:42,856 - mmseg - INFO - Iter [73100/160000] lr: 3.346e-05, eta: 5:44:11, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3845, decode.acc_seg: 68.7884, aux.loss_ce: 0.1731, aux.acc_seg: 67.7768, loss: 0.5576 2022-06-18 14:11:54,337 - mmseg - INFO - Iter [73150/160000] lr: 3.344e-05, eta: 5:43:59, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3997, decode.acc_seg: 69.3792, aux.loss_ce: 0.1816, aux.acc_seg: 68.0635, loss: 0.5814 2022-06-18 14:12:05,887 - mmseg - INFO - Iter [73200/160000] lr: 3.342e-05, eta: 5:43:46, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4083, decode.acc_seg: 68.7362, aux.loss_ce: 0.1824, aux.acc_seg: 67.3524, loss: 0.5908 2022-06-18 14:12:17,159 - mmseg - INFO - Iter [73250/160000] lr: 3.340e-05, eta: 5:43:34, time: 0.225, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3768, decode.acc_seg: 69.3041, aux.loss_ce: 0.1695, aux.acc_seg: 68.2182, loss: 0.5463 2022-06-18 14:12:30,980 - mmseg - INFO - Iter [73300/160000] lr: 3.338e-05, eta: 5:43:24, time: 0.276, data_time: 0.048, memory: 36048, decode.loss_ce: 0.3762, decode.acc_seg: 68.9392, aux.loss_ce: 0.1717, aux.acc_seg: 67.7451, loss: 0.5478 2022-06-18 14:12:42,805 - mmseg - INFO - Iter [73350/160000] lr: 3.336e-05, eta: 5:43:12, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3850, decode.acc_seg: 69.9605, aux.loss_ce: 0.1742, aux.acc_seg: 68.9418, loss: 0.5592 2022-06-18 14:12:54,372 - mmseg - INFO - Iter [73400/160000] lr: 3.334e-05, eta: 5:43:00, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3865, decode.acc_seg: 69.7548, aux.loss_ce: 0.1763, aux.acc_seg: 68.4870, loss: 0.5628 2022-06-18 14:13:06,007 - mmseg - INFO - Iter [73450/160000] lr: 3.332e-05, eta: 5:42:48, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3860, decode.acc_seg: 68.4839, aux.loss_ce: 0.1750, aux.acc_seg: 67.4078, loss: 0.5610 2022-06-18 14:13:17,681 - mmseg - INFO - Iter [73500/160000] lr: 3.330e-05, eta: 5:42:36, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3711, decode.acc_seg: 68.5698, aux.loss_ce: 0.1691, aux.acc_seg: 67.5067, loss: 0.5402 2022-06-18 14:13:29,532 - mmseg - INFO - Iter [73550/160000] lr: 3.328e-05, eta: 5:42:24, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3684, decode.acc_seg: 67.8642, aux.loss_ce: 0.1706, aux.acc_seg: 66.2833, loss: 0.5390 2022-06-18 14:13:40,998 - mmseg - INFO - Iter [73600/160000] lr: 3.326e-05, eta: 5:42:11, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3786, decode.acc_seg: 69.4285, aux.loss_ce: 0.1720, aux.acc_seg: 68.3973, loss: 0.5506 2022-06-18 14:13:52,673 - mmseg - INFO - Iter [73650/160000] lr: 3.325e-05, eta: 5:41:59, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3855, decode.acc_seg: 69.6078, aux.loss_ce: 0.1752, aux.acc_seg: 68.2202, loss: 0.5607 2022-06-18 14:14:04,769 - mmseg - INFO - Iter [73700/160000] lr: 3.323e-05, eta: 5:41:48, time: 0.242, data_time: 0.004, memory: 36048, decode.loss_ce: 0.4045, decode.acc_seg: 68.1543, aux.loss_ce: 0.1823, aux.acc_seg: 66.8864, loss: 0.5868 2022-06-18 14:14:16,299 - mmseg - INFO - Iter [73750/160000] lr: 3.321e-05, eta: 5:41:35, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3811, decode.acc_seg: 68.5711, aux.loss_ce: 0.1732, aux.acc_seg: 67.4684, loss: 0.5542 2022-06-18 14:14:28,143 - mmseg - INFO - Iter [73800/160000] lr: 3.319e-05, eta: 5:41:23, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3830, decode.acc_seg: 69.5430, aux.loss_ce: 0.1728, aux.acc_seg: 68.3433, loss: 0.5558 2022-06-18 14:14:39,837 - mmseg - INFO - Iter [73850/160000] lr: 3.317e-05, eta: 5:41:11, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3613, decode.acc_seg: 69.2402, aux.loss_ce: 0.1634, aux.acc_seg: 68.1822, loss: 0.5247 2022-06-18 14:14:51,476 - mmseg - INFO - Iter [73900/160000] lr: 3.315e-05, eta: 5:40:59, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3837, decode.acc_seg: 67.5138, aux.loss_ce: 0.1753, aux.acc_seg: 66.2380, loss: 0.5590 2022-06-18 14:15:02,849 - mmseg - INFO - Iter [73950/160000] lr: 3.313e-05, eta: 5:40:47, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3779, decode.acc_seg: 68.7759, aux.loss_ce: 0.1724, aux.acc_seg: 67.5296, loss: 0.5503 2022-06-18 14:15:14,254 - mmseg - INFO - Saving checkpoint at 74000 iterations 2022-06-18 14:15:15,042 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 14:15:15,042 - mmseg - INFO - Iter [74000/160000] lr: 3.311e-05, eta: 5:40:35, time: 0.244, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3903, decode.acc_seg: 70.4847, aux.loss_ce: 0.1750, aux.acc_seg: 69.4607, loss: 0.5653 2022-06-18 14:15:26,674 - mmseg - INFO - Iter [74050/160000] lr: 3.309e-05, eta: 5:40:23, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3793, decode.acc_seg: 69.6570, aux.loss_ce: 0.1724, aux.acc_seg: 68.4482, loss: 0.5517 2022-06-18 14:15:38,320 - mmseg - INFO - Iter [74100/160000] lr: 3.307e-05, eta: 5:40:11, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3870, decode.acc_seg: 67.6858, aux.loss_ce: 0.1745, aux.acc_seg: 66.6700, loss: 0.5615 2022-06-18 14:15:49,834 - mmseg - INFO - Iter [74150/160000] lr: 3.305e-05, eta: 5:39:59, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4127, decode.acc_seg: 66.9925, aux.loss_ce: 0.1851, aux.acc_seg: 66.0804, loss: 0.5978 2022-06-18 14:16:01,568 - mmseg - INFO - Iter [74200/160000] lr: 3.303e-05, eta: 5:39:47, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3788, decode.acc_seg: 70.1744, aux.loss_ce: 0.1716, aux.acc_seg: 68.9484, loss: 0.5505 2022-06-18 14:16:13,332 - mmseg - INFO - Iter [74250/160000] lr: 3.301e-05, eta: 5:39:35, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3838, decode.acc_seg: 67.2486, aux.loss_ce: 0.1727, aux.acc_seg: 66.2308, loss: 0.5564 2022-06-18 14:16:24,972 - mmseg - INFO - Iter [74300/160000] lr: 3.300e-05, eta: 5:39:22, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3801, decode.acc_seg: 68.0767, aux.loss_ce: 0.1729, aux.acc_seg: 66.7995, loss: 0.5530 2022-06-18 14:16:36,684 - mmseg - INFO - Iter [74350/160000] lr: 3.298e-05, eta: 5:39:10, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3985, decode.acc_seg: 69.2360, aux.loss_ce: 0.1789, aux.acc_seg: 68.1635, loss: 0.5774 2022-06-18 14:16:48,255 - mmseg - INFO - Iter [74400/160000] lr: 3.296e-05, eta: 5:38:58, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3889, decode.acc_seg: 68.6170, aux.loss_ce: 0.1760, aux.acc_seg: 67.3963, loss: 0.5649 2022-06-18 14:16:59,795 - mmseg - INFO - Iter [74450/160000] lr: 3.294e-05, eta: 5:38:46, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3802, decode.acc_seg: 68.3522, aux.loss_ce: 0.1744, aux.acc_seg: 67.0123, loss: 0.5546 2022-06-18 14:17:11,463 - mmseg - INFO - Iter [74500/160000] lr: 3.292e-05, eta: 5:38:34, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3653, decode.acc_seg: 70.1446, aux.loss_ce: 0.1693, aux.acc_seg: 68.8755, loss: 0.5346 2022-06-18 14:17:25,240 - mmseg - INFO - Iter [74550/160000] lr: 3.290e-05, eta: 5:38:24, time: 0.276, data_time: 0.050, memory: 36048, decode.loss_ce: 0.3850, decode.acc_seg: 69.3292, aux.loss_ce: 0.1746, aux.acc_seg: 68.0107, loss: 0.5596 2022-06-18 14:17:36,861 - mmseg - INFO - Iter [74600/160000] lr: 3.288e-05, eta: 5:38:12, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3494, decode.acc_seg: 70.0450, aux.loss_ce: 0.1609, aux.acc_seg: 68.6534, loss: 0.5104 2022-06-18 14:17:48,628 - mmseg - INFO - Iter [74650/160000] lr: 3.286e-05, eta: 5:38:00, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3591, decode.acc_seg: 70.2590, aux.loss_ce: 0.1638, aux.acc_seg: 69.0004, loss: 0.5229 2022-06-18 14:18:00,113 - mmseg - INFO - Iter [74700/160000] lr: 3.284e-05, eta: 5:37:47, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3780, decode.acc_seg: 69.4997, aux.loss_ce: 0.1741, aux.acc_seg: 68.1800, loss: 0.5521 2022-06-18 14:18:11,791 - mmseg - INFO - Iter [74750/160000] lr: 3.282e-05, eta: 5:37:35, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3599, decode.acc_seg: 67.6617, aux.loss_ce: 0.1642, aux.acc_seg: 66.2585, loss: 0.5241 2022-06-18 14:18:23,256 - mmseg - INFO - Iter [74800/160000] lr: 3.280e-05, eta: 5:37:23, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3720, decode.acc_seg: 70.5015, aux.loss_ce: 0.1699, aux.acc_seg: 69.1830, loss: 0.5419 2022-06-18 14:18:34,820 - mmseg - INFO - Iter [74850/160000] lr: 3.278e-05, eta: 5:37:11, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3950, decode.acc_seg: 68.9557, aux.loss_ce: 0.1817, aux.acc_seg: 67.3980, loss: 0.5767 2022-06-18 14:18:46,385 - mmseg - INFO - Iter [74900/160000] lr: 3.276e-05, eta: 5:36:59, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3641, decode.acc_seg: 70.2839, aux.loss_ce: 0.1654, aux.acc_seg: 69.0647, loss: 0.5294 2022-06-18 14:18:58,134 - mmseg - INFO - Iter [74950/160000] lr: 3.275e-05, eta: 5:36:46, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3681, decode.acc_seg: 68.6890, aux.loss_ce: 0.1692, aux.acc_seg: 67.3955, loss: 0.5373 2022-06-18 14:19:09,977 - mmseg - INFO - Saving checkpoint at 75000 iterations 2022-06-18 14:19:10,691 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 14:19:10,691 - mmseg - INFO - Iter [75000/160000] lr: 3.273e-05, eta: 5:36:35, time: 0.251, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4190, decode.acc_seg: 67.6097, aux.loss_ce: 0.1872, aux.acc_seg: 66.4576, loss: 0.6062 2022-06-18 14:19:22,386 - mmseg - INFO - Iter [75050/160000] lr: 3.271e-05, eta: 5:36:23, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3827, decode.acc_seg: 69.1737, aux.loss_ce: 0.1708, aux.acc_seg: 68.2238, loss: 0.5535 2022-06-18 14:19:33,964 - mmseg - INFO - Iter [75100/160000] lr: 3.269e-05, eta: 5:36:11, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3809, decode.acc_seg: 69.6664, aux.loss_ce: 0.1736, aux.acc_seg: 68.5012, loss: 0.5545 2022-06-18 14:19:45,842 - mmseg - INFO - Iter [75150/160000] lr: 3.267e-05, eta: 5:35:59, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4117, decode.acc_seg: 68.3627, aux.loss_ce: 0.1853, aux.acc_seg: 67.2472, loss: 0.5969 2022-06-18 14:19:57,305 - mmseg - INFO - Iter [75200/160000] lr: 3.265e-05, eta: 5:35:47, time: 0.229, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3921, decode.acc_seg: 69.4912, aux.loss_ce: 0.1772, aux.acc_seg: 68.2111, loss: 0.5693 2022-06-18 14:20:08,968 - mmseg - INFO - Iter [75250/160000] lr: 3.263e-05, eta: 5:35:35, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3882, decode.acc_seg: 67.9252, aux.loss_ce: 0.1727, aux.acc_seg: 66.9282, loss: 0.5609 2022-06-18 14:20:20,582 - mmseg - INFO - Iter [75300/160000] lr: 3.261e-05, eta: 5:35:23, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3785, decode.acc_seg: 68.4067, aux.loss_ce: 0.1691, aux.acc_seg: 67.3871, loss: 0.5476 2022-06-18 14:20:32,275 - mmseg - INFO - Iter [75350/160000] lr: 3.259e-05, eta: 5:35:10, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3959, decode.acc_seg: 68.3804, aux.loss_ce: 0.1783, aux.acc_seg: 67.3860, loss: 0.5742 2022-06-18 14:20:44,031 - mmseg - INFO - Iter [75400/160000] lr: 3.257e-05, eta: 5:34:58, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3759, decode.acc_seg: 68.7707, aux.loss_ce: 0.1727, aux.acc_seg: 67.3057, loss: 0.5486 2022-06-18 14:20:55,828 - mmseg - INFO - Iter [75450/160000] lr: 3.255e-05, eta: 5:34:46, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3755, decode.acc_seg: 68.3615, aux.loss_ce: 0.1684, aux.acc_seg: 67.3175, loss: 0.5439 2022-06-18 14:21:07,364 - mmseg - INFO - Iter [75500/160000] lr: 3.253e-05, eta: 5:34:34, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3674, decode.acc_seg: 69.7413, aux.loss_ce: 0.1688, aux.acc_seg: 68.4244, loss: 0.5362 2022-06-18 14:21:18,657 - mmseg - INFO - Iter [75550/160000] lr: 3.251e-05, eta: 5:34:22, time: 0.226, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3908, decode.acc_seg: 69.2674, aux.loss_ce: 0.1761, aux.acc_seg: 68.1634, loss: 0.5669 2022-06-18 14:21:30,180 - mmseg - INFO - Iter [75600/160000] lr: 3.249e-05, eta: 5:34:09, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3717, decode.acc_seg: 68.3918, aux.loss_ce: 0.1720, aux.acc_seg: 67.0868, loss: 0.5437 2022-06-18 14:21:41,624 - mmseg - INFO - Iter [75650/160000] lr: 3.248e-05, eta: 5:33:57, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3736, decode.acc_seg: 69.7555, aux.loss_ce: 0.1710, aux.acc_seg: 68.5863, loss: 0.5446 2022-06-18 14:21:53,363 - mmseg - INFO - Iter [75700/160000] lr: 3.246e-05, eta: 5:33:45, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3827, decode.acc_seg: 68.8954, aux.loss_ce: 0.1743, aux.acc_seg: 67.7059, loss: 0.5570 2022-06-18 14:22:05,124 - mmseg - INFO - Iter [75750/160000] lr: 3.244e-05, eta: 5:33:33, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3840, decode.acc_seg: 68.2712, aux.loss_ce: 0.1753, aux.acc_seg: 67.1051, loss: 0.5593 2022-06-18 14:22:18,838 - mmseg - INFO - Iter [75800/160000] lr: 3.242e-05, eta: 5:33:23, time: 0.274, data_time: 0.049, memory: 36048, decode.loss_ce: 0.3772, decode.acc_seg: 68.8100, aux.loss_ce: 0.1697, aux.acc_seg: 67.8228, loss: 0.5469 2022-06-18 14:22:30,271 - mmseg - INFO - Iter [75850/160000] lr: 3.240e-05, eta: 5:33:11, time: 0.229, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3598, decode.acc_seg: 69.7655, aux.loss_ce: 0.1628, aux.acc_seg: 68.6194, loss: 0.5226 2022-06-18 14:22:41,947 - mmseg - INFO - Iter [75900/160000] lr: 3.238e-05, eta: 5:32:59, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3545, decode.acc_seg: 70.6733, aux.loss_ce: 0.1637, aux.acc_seg: 69.3548, loss: 0.5182 2022-06-18 14:22:53,722 - mmseg - INFO - Iter [75950/160000] lr: 3.236e-05, eta: 5:32:47, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3673, decode.acc_seg: 68.5589, aux.loss_ce: 0.1670, aux.acc_seg: 67.3755, loss: 0.5343 2022-06-18 14:23:05,263 - mmseg - INFO - Saving checkpoint at 76000 iterations 2022-06-18 14:23:05,982 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 14:23:05,983 - mmseg - INFO - Iter [76000/160000] lr: 3.234e-05, eta: 5:32:35, time: 0.245, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3809, decode.acc_seg: 68.2394, aux.loss_ce: 0.1729, aux.acc_seg: 66.9102, loss: 0.5538 2022-06-18 14:23:17,473 - mmseg - INFO - Iter [76050/160000] lr: 3.232e-05, eta: 5:32:23, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3602, decode.acc_seg: 68.8300, aux.loss_ce: 0.1648, aux.acc_seg: 67.5547, loss: 0.5250 2022-06-18 14:23:29,068 - mmseg - INFO - Iter [76100/160000] lr: 3.230e-05, eta: 5:32:11, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3941, decode.acc_seg: 68.5477, aux.loss_ce: 0.1785, aux.acc_seg: 67.2173, loss: 0.5727 2022-06-18 14:23:40,920 - mmseg - INFO - Iter [76150/160000] lr: 3.228e-05, eta: 5:31:59, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3974, decode.acc_seg: 70.3096, aux.loss_ce: 0.1815, aux.acc_seg: 69.0533, loss: 0.5788 2022-06-18 14:23:52,547 - mmseg - INFO - Iter [76200/160000] lr: 3.226e-05, eta: 5:31:47, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3756, decode.acc_seg: 69.5048, aux.loss_ce: 0.1714, aux.acc_seg: 68.2250, loss: 0.5470 2022-06-18 14:24:04,290 - mmseg - INFO - Iter [76250/160000] lr: 3.224e-05, eta: 5:31:35, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3742, decode.acc_seg: 69.5003, aux.loss_ce: 0.1707, aux.acc_seg: 68.3303, loss: 0.5449 2022-06-18 14:24:16,064 - mmseg - INFO - Iter [76300/160000] lr: 3.223e-05, eta: 5:31:23, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3606, decode.acc_seg: 69.3997, aux.loss_ce: 0.1647, aux.acc_seg: 68.1583, loss: 0.5253 2022-06-18 14:24:27,518 - mmseg - INFO - Iter [76350/160000] lr: 3.221e-05, eta: 5:31:10, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3869, decode.acc_seg: 69.1035, aux.loss_ce: 0.1731, aux.acc_seg: 67.8901, loss: 0.5600 2022-06-18 14:24:39,081 - mmseg - INFO - Iter [76400/160000] lr: 3.219e-05, eta: 5:30:58, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3545, decode.acc_seg: 68.4201, aux.loss_ce: 0.1617, aux.acc_seg: 67.3009, loss: 0.5163 2022-06-18 14:24:50,628 - mmseg - INFO - Iter [76450/160000] lr: 3.217e-05, eta: 5:30:46, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3788, decode.acc_seg: 69.2494, aux.loss_ce: 0.1735, aux.acc_seg: 67.8493, loss: 0.5523 2022-06-18 14:25:01,970 - mmseg - INFO - Iter [76500/160000] lr: 3.215e-05, eta: 5:30:33, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3660, decode.acc_seg: 68.9504, aux.loss_ce: 0.1671, aux.acc_seg: 67.6893, loss: 0.5330 2022-06-18 14:25:13,907 - mmseg - INFO - Iter [76550/160000] lr: 3.213e-05, eta: 5:30:22, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3773, decode.acc_seg: 68.9171, aux.loss_ce: 0.1727, aux.acc_seg: 67.6886, loss: 0.5500 2022-06-18 14:25:25,249 - mmseg - INFO - Iter [76600/160000] lr: 3.211e-05, eta: 5:30:09, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3722, decode.acc_seg: 69.5185, aux.loss_ce: 0.1694, aux.acc_seg: 68.4157, loss: 0.5415 2022-06-18 14:25:36,976 - mmseg - INFO - Iter [76650/160000] lr: 3.209e-05, eta: 5:29:57, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3843, decode.acc_seg: 67.6082, aux.loss_ce: 0.1733, aux.acc_seg: 66.3368, loss: 0.5575 2022-06-18 14:25:48,791 - mmseg - INFO - Iter [76700/160000] lr: 3.207e-05, eta: 5:29:45, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3987, decode.acc_seg: 69.5834, aux.loss_ce: 0.1799, aux.acc_seg: 68.4345, loss: 0.5786 2022-06-18 14:26:00,337 - mmseg - INFO - Iter [76750/160000] lr: 3.205e-05, eta: 5:29:33, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3542, decode.acc_seg: 69.3583, aux.loss_ce: 0.1602, aux.acc_seg: 68.4537, loss: 0.5145 2022-06-18 14:26:11,783 - mmseg - INFO - Iter [76800/160000] lr: 3.203e-05, eta: 5:29:21, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3744, decode.acc_seg: 68.0412, aux.loss_ce: 0.1697, aux.acc_seg: 66.7732, loss: 0.5441 2022-06-18 14:26:23,659 - mmseg - INFO - Iter [76850/160000] lr: 3.201e-05, eta: 5:29:09, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3908, decode.acc_seg: 69.2397, aux.loss_ce: 0.1762, aux.acc_seg: 68.1858, loss: 0.5670 2022-06-18 14:26:35,424 - mmseg - INFO - Iter [76900/160000] lr: 3.199e-05, eta: 5:28:57, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.4121, decode.acc_seg: 68.4803, aux.loss_ce: 0.1866, aux.acc_seg: 67.3728, loss: 0.5987 2022-06-18 14:26:47,030 - mmseg - INFO - Iter [76950/160000] lr: 3.198e-05, eta: 5:28:45, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3709, decode.acc_seg: 68.2325, aux.loss_ce: 0.1689, aux.acc_seg: 66.9368, loss: 0.5398 2022-06-18 14:26:58,706 - mmseg - INFO - Saving checkpoint at 77000 iterations 2022-06-18 14:26:59,422 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 14:26:59,422 - mmseg - INFO - Iter [77000/160000] lr: 3.196e-05, eta: 5:28:33, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3720, decode.acc_seg: 69.6994, aux.loss_ce: 0.1686, aux.acc_seg: 68.4677, loss: 0.5405 2022-06-18 14:27:13,199 - mmseg - INFO - Iter [77050/160000] lr: 3.194e-05, eta: 5:28:23, time: 0.276, data_time: 0.050, memory: 36048, decode.loss_ce: 0.3589, decode.acc_seg: 70.1773, aux.loss_ce: 0.1630, aux.acc_seg: 69.0824, loss: 0.5219 2022-06-18 14:27:24,821 - mmseg - INFO - Iter [77100/160000] lr: 3.192e-05, eta: 5:28:11, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3758, decode.acc_seg: 70.1970, aux.loss_ce: 0.1722, aux.acc_seg: 69.0394, loss: 0.5480 2022-06-18 14:27:36,291 - mmseg - INFO - Iter [77150/160000] lr: 3.190e-05, eta: 5:27:59, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3949, decode.acc_seg: 68.1869, aux.loss_ce: 0.1813, aux.acc_seg: 66.8281, loss: 0.5761 2022-06-18 14:27:47,848 - mmseg - INFO - Iter [77200/160000] lr: 3.188e-05, eta: 5:27:47, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3752, decode.acc_seg: 68.5211, aux.loss_ce: 0.1692, aux.acc_seg: 67.4185, loss: 0.5445 2022-06-18 14:27:59,341 - mmseg - INFO - Iter [77250/160000] lr: 3.186e-05, eta: 5:27:34, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3588, decode.acc_seg: 67.0079, aux.loss_ce: 0.1640, aux.acc_seg: 65.7176, loss: 0.5228 2022-06-18 14:28:11,049 - mmseg - INFO - Iter [77300/160000] lr: 3.184e-05, eta: 5:27:22, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3637, decode.acc_seg: 68.4929, aux.loss_ce: 0.1657, aux.acc_seg: 67.2719, loss: 0.5293 2022-06-18 14:28:22,538 - mmseg - INFO - Iter [77350/160000] lr: 3.182e-05, eta: 5:27:10, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3378, decode.acc_seg: 72.0377, aux.loss_ce: 0.1553, aux.acc_seg: 70.9118, loss: 0.4931 2022-06-18 14:28:34,276 - mmseg - INFO - Iter [77400/160000] lr: 3.180e-05, eta: 5:26:58, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3801, decode.acc_seg: 69.6701, aux.loss_ce: 0.1746, aux.acc_seg: 68.5117, loss: 0.5547 2022-06-18 14:28:46,222 - mmseg - INFO - Iter [77450/160000] lr: 3.178e-05, eta: 5:26:46, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3742, decode.acc_seg: 69.5788, aux.loss_ce: 0.1707, aux.acc_seg: 68.4141, loss: 0.5449 2022-06-18 14:28:58,179 - mmseg - INFO - Iter [77500/160000] lr: 3.176e-05, eta: 5:26:34, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3777, decode.acc_seg: 70.5366, aux.loss_ce: 0.1716, aux.acc_seg: 69.3740, loss: 0.5493 2022-06-18 14:29:10,101 - mmseg - INFO - Iter [77550/160000] lr: 3.174e-05, eta: 5:26:23, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3694, decode.acc_seg: 69.3864, aux.loss_ce: 0.1670, aux.acc_seg: 68.2464, loss: 0.5364 2022-06-18 14:29:21,752 - mmseg - INFO - Iter [77600/160000] lr: 3.172e-05, eta: 5:26:11, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3830, decode.acc_seg: 68.2984, aux.loss_ce: 0.1730, aux.acc_seg: 67.1756, loss: 0.5560 2022-06-18 14:29:33,460 - mmseg - INFO - Iter [77650/160000] lr: 3.171e-05, eta: 5:25:58, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3864, decode.acc_seg: 68.1280, aux.loss_ce: 0.1754, aux.acc_seg: 66.9032, loss: 0.5618 2022-06-18 14:29:45,215 - mmseg - INFO - Iter [77700/160000] lr: 3.169e-05, eta: 5:25:46, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3747, decode.acc_seg: 69.3767, aux.loss_ce: 0.1691, aux.acc_seg: 68.4453, loss: 0.5438 2022-06-18 14:29:57,207 - mmseg - INFO - Iter [77750/160000] lr: 3.167e-05, eta: 5:25:35, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3802, decode.acc_seg: 68.5481, aux.loss_ce: 0.1719, aux.acc_seg: 67.3320, loss: 0.5521 2022-06-18 14:30:08,912 - mmseg - INFO - Iter [77800/160000] lr: 3.165e-05, eta: 5:25:23, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3599, decode.acc_seg: 68.3809, aux.loss_ce: 0.1644, aux.acc_seg: 67.1424, loss: 0.5243 2022-06-18 14:30:20,509 - mmseg - INFO - Iter [77850/160000] lr: 3.163e-05, eta: 5:25:10, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3887, decode.acc_seg: 69.0966, aux.loss_ce: 0.1808, aux.acc_seg: 67.5273, loss: 0.5695 2022-06-18 14:30:32,078 - mmseg - INFO - Iter [77900/160000] lr: 3.161e-05, eta: 5:24:58, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3528, decode.acc_seg: 69.8390, aux.loss_ce: 0.1641, aux.acc_seg: 68.4245, loss: 0.5169 2022-06-18 14:30:43,694 - mmseg - INFO - Iter [77950/160000] lr: 3.159e-05, eta: 5:24:46, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3744, decode.acc_seg: 69.5467, aux.loss_ce: 0.1703, aux.acc_seg: 68.3404, loss: 0.5447 2022-06-18 14:30:55,102 - mmseg - INFO - Saving checkpoint at 78000 iterations 2022-06-18 14:30:55,809 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 14:30:55,809 - mmseg - INFO - Iter [78000/160000] lr: 3.157e-05, eta: 5:24:35, time: 0.242, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3997, decode.acc_seg: 69.2733, aux.loss_ce: 0.1805, aux.acc_seg: 68.0975, loss: 0.5802 2022-06-18 14:31:07,506 - mmseg - INFO - Iter [78050/160000] lr: 3.155e-05, eta: 5:24:22, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3596, decode.acc_seg: 67.4087, aux.loss_ce: 0.1656, aux.acc_seg: 66.0674, loss: 0.5252 2022-06-18 14:31:19,345 - mmseg - INFO - Iter [78100/160000] lr: 3.153e-05, eta: 5:24:11, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3620, decode.acc_seg: 69.5726, aux.loss_ce: 0.1639, aux.acc_seg: 68.3198, loss: 0.5259 2022-06-18 14:31:30,814 - mmseg - INFO - Iter [78150/160000] lr: 3.151e-05, eta: 5:23:58, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3905, decode.acc_seg: 67.7026, aux.loss_ce: 0.1752, aux.acc_seg: 66.4344, loss: 0.5657 2022-06-18 14:31:42,460 - mmseg - INFO - Iter [78200/160000] lr: 3.149e-05, eta: 5:23:46, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3698, decode.acc_seg: 69.5253, aux.loss_ce: 0.1708, aux.acc_seg: 68.1095, loss: 0.5405 2022-06-18 14:31:54,027 - mmseg - INFO - Iter [78250/160000] lr: 3.147e-05, eta: 5:23:34, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3685, decode.acc_seg: 68.7944, aux.loss_ce: 0.1699, aux.acc_seg: 67.3143, loss: 0.5384 2022-06-18 14:32:05,609 - mmseg - INFO - Iter [78300/160000] lr: 3.146e-05, eta: 5:23:22, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3703, decode.acc_seg: 70.0620, aux.loss_ce: 0.1691, aux.acc_seg: 68.7638, loss: 0.5395 2022-06-18 14:32:19,572 - mmseg - INFO - Iter [78350/160000] lr: 3.144e-05, eta: 5:23:12, time: 0.279, data_time: 0.050, memory: 36048, decode.loss_ce: 0.3452, decode.acc_seg: 70.0561, aux.loss_ce: 0.1579, aux.acc_seg: 68.8873, loss: 0.5031 2022-06-18 14:32:31,324 - mmseg - INFO - Iter [78400/160000] lr: 3.142e-05, eta: 5:23:00, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3523, decode.acc_seg: 69.0534, aux.loss_ce: 0.1621, aux.acc_seg: 67.8863, loss: 0.5145 2022-06-18 14:32:43,294 - mmseg - INFO - Iter [78450/160000] lr: 3.140e-05, eta: 5:22:48, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3658, decode.acc_seg: 69.7124, aux.loss_ce: 0.1683, aux.acc_seg: 68.3681, loss: 0.5341 2022-06-18 14:32:55,061 - mmseg - INFO - Iter [78500/160000] lr: 3.138e-05, eta: 5:22:36, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3545, decode.acc_seg: 69.5435, aux.loss_ce: 0.1632, aux.acc_seg: 68.1677, loss: 0.5177 2022-06-18 14:33:06,822 - mmseg - INFO - Iter [78550/160000] lr: 3.136e-05, eta: 5:22:24, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3682, decode.acc_seg: 70.2310, aux.loss_ce: 0.1677, aux.acc_seg: 69.1836, loss: 0.5359 2022-06-18 14:33:18,430 - mmseg - INFO - Iter [78600/160000] lr: 3.134e-05, eta: 5:22:12, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3702, decode.acc_seg: 69.1861, aux.loss_ce: 0.1685, aux.acc_seg: 67.9530, loss: 0.5388 2022-06-18 14:33:30,176 - mmseg - INFO - Iter [78650/160000] lr: 3.132e-05, eta: 5:22:00, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3626, decode.acc_seg: 69.4695, aux.loss_ce: 0.1654, aux.acc_seg: 68.2516, loss: 0.5279 2022-06-18 14:33:41,828 - mmseg - INFO - Iter [78700/160000] lr: 3.130e-05, eta: 5:21:48, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3588, decode.acc_seg: 68.2646, aux.loss_ce: 0.1626, aux.acc_seg: 67.0603, loss: 0.5214 2022-06-18 14:33:53,538 - mmseg - INFO - Iter [78750/160000] lr: 3.128e-05, eta: 5:21:36, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3529, decode.acc_seg: 71.4294, aux.loss_ce: 0.1632, aux.acc_seg: 70.0934, loss: 0.5161 2022-06-18 14:34:05,131 - mmseg - INFO - Iter [78800/160000] lr: 3.126e-05, eta: 5:21:24, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3783, decode.acc_seg: 69.8733, aux.loss_ce: 0.1706, aux.acc_seg: 68.7658, loss: 0.5488 2022-06-18 14:34:16,808 - mmseg - INFO - Iter [78850/160000] lr: 3.124e-05, eta: 5:21:12, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3759, decode.acc_seg: 68.5451, aux.loss_ce: 0.1736, aux.acc_seg: 67.0546, loss: 0.5495 2022-06-18 14:34:28,354 - mmseg - INFO - Iter [78900/160000] lr: 3.122e-05, eta: 5:21:00, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3781, decode.acc_seg: 68.8624, aux.loss_ce: 0.1719, aux.acc_seg: 67.5240, loss: 0.5500 2022-06-18 14:34:39,952 - mmseg - INFO - Iter [78950/160000] lr: 3.121e-05, eta: 5:20:47, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3744, decode.acc_seg: 70.7667, aux.loss_ce: 0.1707, aux.acc_seg: 69.5120, loss: 0.5451 2022-06-18 14:34:51,611 - mmseg - INFO - Saving checkpoint at 79000 iterations 2022-06-18 14:34:52,330 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 14:34:52,330 - mmseg - INFO - Iter [79000/160000] lr: 3.119e-05, eta: 5:20:36, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3609, decode.acc_seg: 68.7517, aux.loss_ce: 0.1659, aux.acc_seg: 67.5386, loss: 0.5268 2022-06-18 14:35:04,055 - mmseg - INFO - Iter [79050/160000] lr: 3.117e-05, eta: 5:20:24, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3518, decode.acc_seg: 67.3469, aux.loss_ce: 0.1625, aux.acc_seg: 66.0860, loss: 0.5144 2022-06-18 14:35:15,719 - mmseg - INFO - Iter [79100/160000] lr: 3.115e-05, eta: 5:20:12, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3797, decode.acc_seg: 69.2744, aux.loss_ce: 0.1729, aux.acc_seg: 68.0183, loss: 0.5526 2022-06-18 14:35:27,486 - mmseg - INFO - Iter [79150/160000] lr: 3.113e-05, eta: 5:20:00, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3746, decode.acc_seg: 68.9449, aux.loss_ce: 0.1688, aux.acc_seg: 68.0508, loss: 0.5434 2022-06-18 14:35:39,173 - mmseg - INFO - Iter [79200/160000] lr: 3.111e-05, eta: 5:19:48, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3820, decode.acc_seg: 68.0994, aux.loss_ce: 0.1724, aux.acc_seg: 67.0707, loss: 0.5544 2022-06-18 14:35:50,873 - mmseg - INFO - Iter [79250/160000] lr: 3.109e-05, eta: 5:19:36, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3805, decode.acc_seg: 69.4269, aux.loss_ce: 0.1715, aux.acc_seg: 68.4465, loss: 0.5520 2022-06-18 14:36:02,660 - mmseg - INFO - Iter [79300/160000] lr: 3.107e-05, eta: 5:19:24, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3584, decode.acc_seg: 69.9536, aux.loss_ce: 0.1643, aux.acc_seg: 68.7298, loss: 0.5227 2022-06-18 14:36:14,533 - mmseg - INFO - Iter [79350/160000] lr: 3.105e-05, eta: 5:19:12, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3616, decode.acc_seg: 68.0128, aux.loss_ce: 0.1646, aux.acc_seg: 66.9272, loss: 0.5262 2022-06-18 14:36:26,207 - mmseg - INFO - Iter [79400/160000] lr: 3.103e-05, eta: 5:19:00, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3522, decode.acc_seg: 69.6428, aux.loss_ce: 0.1596, aux.acc_seg: 68.6342, loss: 0.5118 2022-06-18 14:36:37,736 - mmseg - INFO - Iter [79450/160000] lr: 3.101e-05, eta: 5:18:48, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3443, decode.acc_seg: 68.8308, aux.loss_ce: 0.1573, aux.acc_seg: 67.5390, loss: 0.5016 2022-06-18 14:36:49,317 - mmseg - INFO - Iter [79500/160000] lr: 3.099e-05, eta: 5:18:35, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3509, decode.acc_seg: 70.9877, aux.loss_ce: 0.1597, aux.acc_seg: 69.7894, loss: 0.5105 2022-06-18 14:37:01,112 - mmseg - INFO - Iter [79550/160000] lr: 3.097e-05, eta: 5:18:24, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3742, decode.acc_seg: 69.9324, aux.loss_ce: 0.1730, aux.acc_seg: 68.3561, loss: 0.5472 2022-06-18 14:37:14,826 - mmseg - INFO - Iter [79600/160000] lr: 3.095e-05, eta: 5:18:13, time: 0.274, data_time: 0.049, memory: 36048, decode.loss_ce: 0.3607, decode.acc_seg: 68.8235, aux.loss_ce: 0.1627, aux.acc_seg: 67.7193, loss: 0.5233 2022-06-18 14:37:26,602 - mmseg - INFO - Iter [79650/160000] lr: 3.094e-05, eta: 5:18:02, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3586, decode.acc_seg: 69.9729, aux.loss_ce: 0.1638, aux.acc_seg: 68.8828, loss: 0.5225 2022-06-18 14:37:38,494 - mmseg - INFO - Iter [79700/160000] lr: 3.092e-05, eta: 5:17:50, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3662, decode.acc_seg: 68.2527, aux.loss_ce: 0.1682, aux.acc_seg: 66.9002, loss: 0.5344 2022-06-18 14:37:50,131 - mmseg - INFO - Iter [79750/160000] lr: 3.090e-05, eta: 5:17:38, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3504, decode.acc_seg: 70.2743, aux.loss_ce: 0.1619, aux.acc_seg: 68.9973, loss: 0.5123 2022-06-18 14:38:01,781 - mmseg - INFO - Iter [79800/160000] lr: 3.088e-05, eta: 5:17:25, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3537, decode.acc_seg: 70.7418, aux.loss_ce: 0.1635, aux.acc_seg: 69.4581, loss: 0.5172 2022-06-18 14:38:13,618 - mmseg - INFO - Iter [79850/160000] lr: 3.086e-05, eta: 5:17:14, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3518, decode.acc_seg: 70.0916, aux.loss_ce: 0.1619, aux.acc_seg: 68.9369, loss: 0.5137 2022-06-18 14:38:25,343 - mmseg - INFO - Iter [79900/160000] lr: 3.084e-05, eta: 5:17:01, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3579, decode.acc_seg: 70.6024, aux.loss_ce: 0.1635, aux.acc_seg: 69.4297, loss: 0.5214 2022-06-18 14:38:36,915 - mmseg - INFO - Iter [79950/160000] lr: 3.082e-05, eta: 5:16:49, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3694, decode.acc_seg: 68.6273, aux.loss_ce: 0.1691, aux.acc_seg: 67.4771, loss: 0.5385 2022-06-18 14:38:48,778 - mmseg - INFO - Saving checkpoint at 80000 iterations 2022-06-18 14:38:49,551 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 14:38:49,551 - mmseg - INFO - Iter [80000/160000] lr: 3.080e-05, eta: 5:16:38, time: 0.253, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3520, decode.acc_seg: 68.3006, aux.loss_ce: 0.1624, aux.acc_seg: 66.8813, loss: 0.5144 2022-06-18 14:39:07,663 - mmseg - INFO - per class results: 2022-06-18 14:39:07,669 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 71.73 | 84.91 | | building | 78.5 | 90.92 | | sky | 93.62 | 96.59 | | floor | 77.04 | 88.18 | | tree | 72.03 | 87.1 | | ceiling | 80.3 | 90.54 | | road | 78.74 | 84.38 | | bed | 83.0 | 91.88 | | windowpane | 56.38 | 77.07 | | grass | 64.91 | 79.02 | | cabinet | 54.04 | 68.22 | | sidewalk | 56.34 | 76.21 | | person | 74.72 | 90.47 | | earth | 29.43 | 42.46 | | door | 34.67 | 46.17 | | table | 49.1 | 69.0 | | mountain | 50.11 | 64.14 | | plant | 48.89 | 64.76 | | curtain | 65.31 | 80.67 | | chair | 45.96 | 60.9 | | car | 77.81 | 89.02 | | water | 45.39 | 56.85 | | painting | 61.16 | 84.2 | | sofa | 50.61 | 61.86 | | shelf | 36.0 | 52.83 | | house | 35.56 | 50.88 | | sea | 51.27 | 87.55 | | mirror | 57.89 | 73.0 | | rug | 58.07 | 68.14 | | field | 31.79 | 53.41 | | armchair | 32.78 | 58.76 | | seat | 53.19 | 65.88 | | fence | 29.29 | 42.05 | | desk | 41.7 | 56.44 | | rock | 38.73 | 73.6 | | wardrobe | 46.41 | 58.45 | | lamp | 49.83 | 64.77 | | bathtub | 70.28 | 82.04 | | railing | 25.09 | 33.92 | | cushion | 44.56 | 55.56 | | base | 17.13 | 27.04 | | box | 14.0 | 19.27 | | column | 37.96 | 46.67 | | signboard | 29.93 | 38.18 | | chest of drawers | 35.39 | 52.72 | | counter | 20.17 | 25.81 | | sand | 35.88 | 63.13 | | sink | 58.12 | 67.89 | | skyscraper | 50.24 | 57.94 | | fireplace | 60.16 | 79.39 | | refrigerator | 63.76 | 71.22 | | grandstand | 36.24 | 61.33 | | path | 18.24 | 32.57 | | stairs | 19.79 | 26.57 | | runway | 74.26 | 91.32 | | case | 36.73 | 46.74 | | pool table | 91.33 | 95.24 | | pillow | 52.34 | 66.32 | | screen door | 47.83 | 57.88 | | stairway | 24.95 | 32.29 | | river | 19.73 | 32.96 | | bridge | 52.57 | 66.75 | | bookcase | 39.09 | 62.51 | | blind | 32.4 | 36.92 | | coffee table | 49.19 | 73.2 | | toilet | 80.17 | 86.63 | | flower | 37.72 | 48.7 | | book | 40.91 | 59.02 | | hill | 11.69 | 22.86 | | bench | 31.71 | 42.55 | | countertop | 45.54 | 61.22 | | stove | 60.29 | 68.13 | | palm | 41.9 | 66.35 | | kitchen island | 24.45 | 62.64 | | computer | 52.52 | 65.2 | | swivel chair | 35.07 | 47.31 | | boat | 32.08 | 37.76 | | bar | 26.17 | 30.96 | | arcade machine | 5.22 | 5.32 | | hovel | 22.75 | 35.41 | | bus | 80.13 | 83.61 | | towel | 47.4 | 55.11 | | light | 42.61 | 46.59 | | truck | 15.09 | 25.5 | | tower | 25.53 | 48.58 | | chandelier | 56.56 | 71.1 | | awning | 24.09 | 31.52 | | streetlight | 13.25 | 17.22 | | booth | 25.35 | 29.82 | | television receiver | 56.87 | 63.38 | | airplane | 47.0 | 62.93 | | dirt track | 2.29 | 21.69 | | apparel | 30.58 | 44.18 | | pole | 13.4 | 18.42 | | land | 4.52 | 8.2 | | bannister | 6.82 | 11.68 | | escalator | 22.27 | 26.49 | | ottoman | 32.9 | 44.32 | | bottle | 28.95 | 39.64 | | buffet | 33.57 | 38.2 | | poster | 18.46 | 20.69 | | stage | 12.83 | 29.79 | | van | 37.23 | 44.88 | | ship | 11.81 | 17.48 | | fountain | 2.85 | 2.93 | | conveyer belt | 51.45 | 53.21 | | canopy | 15.4 | 27.5 | | washer | 68.28 | 69.61 | | plaything | 18.32 | 30.97 | | swimming pool | 51.19 | 53.34 | | stool | 26.93 | 35.14 | | barrel | 33.49 | 38.75 | | basket | 17.18 | 20.33 | | waterfall | 69.59 | 81.71 | | tent | 89.92 | 98.92 | | bag | 5.65 | 7.24 | | minibike | 43.43 | 54.27 | | cradle | 79.58 | 90.7 | | oven | 31.81 | 38.27 | | ball | 33.72 | 46.52 | | food | 45.49 | 54.38 | | step | 1.93 | 2.19 | | tank | 37.21 | 46.82 | | trade name | 11.76 | 12.09 | | microwave | 33.89 | 37.75 | | pot | 27.1 | 30.94 | | animal | 53.61 | 55.84 | | bicycle | 36.75 | 59.9 | | lake | 52.56 | 55.02 | | dishwasher | 42.49 | 62.6 | | screen | 59.77 | 88.55 | | blanket | 9.74 | 10.98 | | sculpture | 36.25 | 53.26 | | hood | 42.8 | 50.63 | | sconce | 26.37 | 30.16 | | vase | 24.29 | 35.47 | | traffic light | 14.07 | 19.97 | | tray | 1.75 | 2.62 | | ashcan | 28.69 | 39.85 | | fan | 46.02 | 55.31 | | pier | 28.52 | 38.02 | | crt screen | 0.01 | 0.01 | | plate | 30.37 | 36.96 | | monitor | 32.04 | 41.4 | | bulletin board | 29.42 | 38.98 | | shower | 0.45 | 1.06 | | radiator | 43.27 | 51.19 | | glass | 3.33 | 4.51 | | clock | 11.47 | 12.22 | | flag | 29.37 | 33.09 | +---------------------+-------+-------+ 2022-06-18 14:39:07,669 - mmseg - INFO - Summary: 2022-06-18 14:39:07,669 - mmseg - INFO - +------+-------+-------+ | aAcc | mIoU | mAcc | +------+-------+-------+ | 78.8 | 39.58 | 50.58 | +------+-------+-------+ 2022-06-18 14:39:07,712 - mmseg - INFO - The previous best checkpoint /home/chenzhe/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_deit_adapter_tiny_512_160_ade20k_try2/best_mIoU_iter_64000.pth was removed 2022-06-18 14:39:08,370 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_80000.pth. 2022-06-18 14:39:08,370 - mmseg - INFO - Best mIoU is 0.3958 at 80000 iter. 2022-06-18 14:39:08,379 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 14:39:08,379 - mmseg - INFO - Iter(val) [250] aAcc: 0.7880, mIoU: 0.3958, mAcc: 0.5058, IoU.wall: 0.7173, IoU.building: 0.7850, IoU.sky: 0.9362, IoU.floor: 0.7704, IoU.tree: 0.7203, IoU.ceiling: 0.8030, IoU.road: 0.7874, IoU.bed : 0.8300, IoU.windowpane: 0.5638, IoU.grass: 0.6491, IoU.cabinet: 0.5404, IoU.sidewalk: 0.5634, IoU.person: 0.7472, IoU.earth: 0.2943, IoU.door: 0.3467, IoU.table: 0.4910, IoU.mountain: 0.5011, IoU.plant: 0.4889, IoU.curtain: 0.6531, IoU.chair: 0.4596, IoU.car: 0.7781, IoU.water: 0.4539, IoU.painting: 0.6116, IoU.sofa: 0.5061, IoU.shelf: 0.3600, IoU.house: 0.3556, IoU.sea: 0.5127, IoU.mirror: 0.5789, IoU.rug: 0.5807, IoU.field: 0.3179, IoU.armchair: 0.3278, IoU.seat: 0.5319, IoU.fence: 0.2929, IoU.desk: 0.4170, IoU.rock: 0.3873, IoU.wardrobe: 0.4641, IoU.lamp: 0.4983, IoU.bathtub: 0.7028, IoU.railing: 0.2509, IoU.cushion: 0.4456, IoU.base: 0.1713, IoU.box: 0.1400, IoU.column: 0.3796, IoU.signboard: 0.2993, IoU.chest of drawers: 0.3539, IoU.counter: 0.2017, IoU.sand: 0.3588, IoU.sink: 0.5812, IoU.skyscraper: 0.5024, IoU.fireplace: 0.6016, IoU.refrigerator: 0.6376, IoU.grandstand: 0.3624, IoU.path: 0.1824, IoU.stairs: 0.1979, IoU.runway: 0.7426, IoU.case: 0.3673, IoU.pool table: 0.9133, IoU.pillow: 0.5234, IoU.screen door: 0.4783, IoU.stairway: 0.2495, IoU.river: 0.1973, IoU.bridge: 0.5257, IoU.bookcase: 0.3909, IoU.blind: 0.3240, IoU.coffee table: 0.4919, IoU.toilet: 0.8017, IoU.flower: 0.3772, IoU.book: 0.4091, IoU.hill: 0.1169, IoU.bench: 0.3171, IoU.countertop: 0.4554, IoU.stove: 0.6029, IoU.palm: 0.4190, IoU.kitchen island: 0.2445, IoU.computer: 0.5252, IoU.swivel chair: 0.3507, IoU.boat: 0.3208, IoU.bar: 0.2617, IoU.arcade machine: 0.0522, IoU.hovel: 0.2275, IoU.bus: 0.8013, IoU.towel: 0.4740, IoU.light: 0.4261, IoU.truck: 0.1509, IoU.tower: 0.2553, IoU.chandelier: 0.5656, IoU.awning: 0.2409, IoU.streetlight: 0.1325, IoU.booth: 0.2535, IoU.television receiver: 0.5687, IoU.airplane: 0.4700, IoU.dirt track: 0.0229, IoU.apparel: 0.3058, IoU.pole: 0.1340, IoU.land: 0.0452, IoU.bannister: 0.0682, IoU.escalator: 0.2227, IoU.ottoman: 0.3290, IoU.bottle: 0.2895, IoU.buffet: 0.3357, IoU.poster: 0.1846, IoU.stage: 0.1283, IoU.van: 0.3723, IoU.ship: 0.1181, IoU.fountain: 0.0285, IoU.conveyer belt: 0.5145, IoU.canopy: 0.1540, IoU.washer: 0.6828, IoU.plaything: 0.1832, IoU.swimming pool: 0.5119, IoU.stool: 0.2693, IoU.barrel: 0.3349, IoU.basket: 0.1718, IoU.waterfall: 0.6959, IoU.tent: 0.8992, IoU.bag: 0.0565, IoU.minibike: 0.4343, IoU.cradle: 0.7958, IoU.oven: 0.3181, IoU.ball: 0.3372, IoU.food: 0.4549, IoU.step: 0.0193, IoU.tank: 0.3721, IoU.trade name: 0.1176, IoU.microwave: 0.3389, IoU.pot: 0.2710, IoU.animal: 0.5361, IoU.bicycle: 0.3675, IoU.lake: 0.5256, IoU.dishwasher: 0.4249, IoU.screen: 0.5977, IoU.blanket: 0.0974, IoU.sculpture: 0.3625, IoU.hood: 0.4280, IoU.sconce: 0.2637, IoU.vase: 0.2429, IoU.traffic light: 0.1407, IoU.tray: 0.0175, IoU.ashcan: 0.2869, IoU.fan: 0.4602, IoU.pier: 0.2852, IoU.crt screen: 0.0001, IoU.plate: 0.3037, IoU.monitor: 0.3204, IoU.bulletin board: 0.2942, IoU.shower: 0.0045, IoU.radiator: 0.4327, IoU.glass: 0.0333, IoU.clock: 0.1147, IoU.flag: 0.2937, Acc.wall: 0.8491, Acc.building: 0.9092, Acc.sky: 0.9659, Acc.floor: 0.8818, Acc.tree: 0.8710, Acc.ceiling: 0.9054, Acc.road: 0.8438, Acc.bed : 0.9188, Acc.windowpane: 0.7707, Acc.grass: 0.7902, Acc.cabinet: 0.6822, Acc.sidewalk: 0.7621, Acc.person: 0.9047, Acc.earth: 0.4246, Acc.door: 0.4617, Acc.table: 0.6900, Acc.mountain: 0.6414, Acc.plant: 0.6476, Acc.curtain: 0.8067, Acc.chair: 0.6090, Acc.car: 0.8902, Acc.water: 0.5685, Acc.painting: 0.8420, Acc.sofa: 0.6186, Acc.shelf: 0.5283, Acc.house: 0.5088, Acc.sea: 0.8755, Acc.mirror: 0.7300, Acc.rug: 0.6814, Acc.field: 0.5341, Acc.armchair: 0.5876, Acc.seat: 0.6588, Acc.fence: 0.4205, Acc.desk: 0.5644, Acc.rock: 0.7360, Acc.wardrobe: 0.5845, Acc.lamp: 0.6477, Acc.bathtub: 0.8204, Acc.railing: 0.3392, Acc.cushion: 0.5556, Acc.base: 0.2704, Acc.box: 0.1927, Acc.column: 0.4667, Acc.signboard: 0.3818, Acc.chest of drawers: 0.5272, Acc.counter: 0.2581, Acc.sand: 0.6313, Acc.sink: 0.6789, Acc.skyscraper: 0.5794, Acc.fireplace: 0.7939, Acc.refrigerator: 0.7122, Acc.grandstand: 0.6133, Acc.path: 0.3257, Acc.stairs: 0.2657, Acc.runway: 0.9132, Acc.case: 0.4674, Acc.pool table: 0.9524, Acc.pillow: 0.6632, Acc.screen door: 0.5788, Acc.stairway: 0.3229, Acc.river: 0.3296, Acc.bridge: 0.6675, Acc.bookcase: 0.6251, Acc.blind: 0.3692, Acc.coffee table: 0.7320, Acc.toilet: 0.8663, Acc.flower: 0.4870, Acc.book: 0.5902, Acc.hill: 0.2286, Acc.bench: 0.4255, Acc.countertop: 0.6122, Acc.stove: 0.6813, Acc.palm: 0.6635, Acc.kitchen island: 0.6264, Acc.computer: 0.6520, Acc.swivel chair: 0.4731, Acc.boat: 0.3776, Acc.bar: 0.3096, Acc.arcade machine: 0.0532, Acc.hovel: 0.3541, Acc.bus: 0.8361, Acc.towel: 0.5511, Acc.light: 0.4659, Acc.truck: 0.2550, Acc.tower: 0.4858, Acc.chandelier: 0.7110, Acc.awning: 0.3152, Acc.streetlight: 0.1722, Acc.booth: 0.2982, Acc.television receiver: 0.6338, Acc.airplane: 0.6293, Acc.dirt track: 0.2169, Acc.apparel: 0.4418, Acc.pole: 0.1842, Acc.land: 0.0820, Acc.bannister: 0.1168, Acc.escalator: 0.2649, Acc.ottoman: 0.4432, Acc.bottle: 0.3964, Acc.buffet: 0.3820, Acc.poster: 0.2069, Acc.stage: 0.2979, Acc.van: 0.4488, Acc.ship: 0.1748, Acc.fountain: 0.0293, Acc.conveyer belt: 0.5321, Acc.canopy: 0.2750, Acc.washer: 0.6961, Acc.plaything: 0.3097, Acc.swimming pool: 0.5334, Acc.stool: 0.3514, Acc.barrel: 0.3875, Acc.basket: 0.2033, Acc.waterfall: 0.8171, Acc.tent: 0.9892, Acc.bag: 0.0724, Acc.minibike: 0.5427, Acc.cradle: 0.9070, Acc.oven: 0.3827, Acc.ball: 0.4652, Acc.food: 0.5438, Acc.step: 0.0219, Acc.tank: 0.4682, Acc.trade name: 0.1209, Acc.microwave: 0.3775, Acc.pot: 0.3094, Acc.animal: 0.5584, Acc.bicycle: 0.5990, Acc.lake: 0.5502, Acc.dishwasher: 0.6260, Acc.screen: 0.8855, Acc.blanket: 0.1098, Acc.sculpture: 0.5326, Acc.hood: 0.5063, Acc.sconce: 0.3016, Acc.vase: 0.3547, Acc.traffic light: 0.1997, Acc.tray: 0.0262, Acc.ashcan: 0.3985, Acc.fan: 0.5531, Acc.pier: 0.3802, Acc.crt screen: 0.0001, Acc.plate: 0.3696, Acc.monitor: 0.4140, Acc.bulletin board: 0.3898, Acc.shower: 0.0106, Acc.radiator: 0.5119, Acc.glass: 0.0451, Acc.clock: 0.1222, Acc.flag: 0.3309 2022-06-18 14:39:20,176 - mmseg - INFO - Iter [80050/160000] lr: 3.078e-05, eta: 5:16:45, time: 0.612, data_time: 0.380, memory: 36048, decode.loss_ce: 0.3641, decode.acc_seg: 69.4629, aux.loss_ce: 0.1678, aux.acc_seg: 68.1027, loss: 0.5320 2022-06-18 14:39:31,814 - mmseg - INFO - Iter [80100/160000] lr: 3.076e-05, eta: 5:16:33, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3760, decode.acc_seg: 67.6319, aux.loss_ce: 0.1720, aux.acc_seg: 66.2267, loss: 0.5480 2022-06-18 14:39:43,499 - mmseg - INFO - Iter [80150/160000] lr: 3.074e-05, eta: 5:16:21, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3510, decode.acc_seg: 69.4921, aux.loss_ce: 0.1626, aux.acc_seg: 68.0708, loss: 0.5136 2022-06-18 14:39:55,096 - mmseg - INFO - Iter [80200/160000] lr: 3.072e-05, eta: 5:16:09, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3826, decode.acc_seg: 68.3724, aux.loss_ce: 0.1726, aux.acc_seg: 67.3937, loss: 0.5552 2022-06-18 14:40:06,799 - mmseg - INFO - Iter [80250/160000] lr: 3.070e-05, eta: 5:15:57, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3485, decode.acc_seg: 68.6303, aux.loss_ce: 0.1604, aux.acc_seg: 67.2641, loss: 0.5089 2022-06-18 14:40:18,588 - mmseg - INFO - Iter [80300/160000] lr: 3.069e-05, eta: 5:15:45, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3554, decode.acc_seg: 68.7722, aux.loss_ce: 0.1643, aux.acc_seg: 67.4615, loss: 0.5198 2022-06-18 14:40:30,459 - mmseg - INFO - Iter [80350/160000] lr: 3.067e-05, eta: 5:15:33, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3859, decode.acc_seg: 69.4942, aux.loss_ce: 0.1742, aux.acc_seg: 68.1424, loss: 0.5601 2022-06-18 14:40:42,178 - mmseg - INFO - Iter [80400/160000] lr: 3.065e-05, eta: 5:15:21, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3878, decode.acc_seg: 68.8696, aux.loss_ce: 0.1775, aux.acc_seg: 67.5868, loss: 0.5654 2022-06-18 14:40:53,936 - mmseg - INFO - Iter [80450/160000] lr: 3.063e-05, eta: 5:15:09, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3559, decode.acc_seg: 70.2789, aux.loss_ce: 0.1637, aux.acc_seg: 69.0112, loss: 0.5196 2022-06-18 14:41:05,954 - mmseg - INFO - Iter [80500/160000] lr: 3.061e-05, eta: 5:14:57, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3595, decode.acc_seg: 69.6658, aux.loss_ce: 0.1641, aux.acc_seg: 68.4663, loss: 0.5236 2022-06-18 14:41:17,728 - mmseg - INFO - Iter [80550/160000] lr: 3.059e-05, eta: 5:14:45, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3756, decode.acc_seg: 69.6822, aux.loss_ce: 0.1727, aux.acc_seg: 68.3758, loss: 0.5483 2022-06-18 14:41:29,562 - mmseg - INFO - Iter [80600/160000] lr: 3.057e-05, eta: 5:14:33, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3566, decode.acc_seg: 68.4959, aux.loss_ce: 0.1639, aux.acc_seg: 67.2768, loss: 0.5205 2022-06-18 14:41:41,009 - mmseg - INFO - Iter [80650/160000] lr: 3.055e-05, eta: 5:14:21, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3687, decode.acc_seg: 69.0601, aux.loss_ce: 0.1677, aux.acc_seg: 67.8692, loss: 0.5363 2022-06-18 14:41:52,882 - mmseg - INFO - Iter [80700/160000] lr: 3.053e-05, eta: 5:14:09, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3803, decode.acc_seg: 69.4942, aux.loss_ce: 0.1718, aux.acc_seg: 68.3697, loss: 0.5522 2022-06-18 14:42:04,713 - mmseg - INFO - Iter [80750/160000] lr: 3.051e-05, eta: 5:13:57, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3652, decode.acc_seg: 69.1326, aux.loss_ce: 0.1655, aux.acc_seg: 67.9516, loss: 0.5307 2022-06-18 14:42:16,391 - mmseg - INFO - Iter [80800/160000] lr: 3.049e-05, eta: 5:13:45, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3819, decode.acc_seg: 69.5091, aux.loss_ce: 0.1748, aux.acc_seg: 68.3428, loss: 0.5567 2022-06-18 14:42:30,358 - mmseg - INFO - Iter [80850/160000] lr: 3.047e-05, eta: 5:13:35, time: 0.279, data_time: 0.051, memory: 36048, decode.loss_ce: 0.3714, decode.acc_seg: 68.9710, aux.loss_ce: 0.1687, aux.acc_seg: 67.7099, loss: 0.5402 2022-06-18 14:42:42,216 - mmseg - INFO - Iter [80900/160000] lr: 3.045e-05, eta: 5:13:23, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3605, decode.acc_seg: 69.7574, aux.loss_ce: 0.1652, aux.acc_seg: 68.4291, loss: 0.5256 2022-06-18 14:42:53,893 - mmseg - INFO - Iter [80950/160000] lr: 3.044e-05, eta: 5:13:11, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3430, decode.acc_seg: 69.4303, aux.loss_ce: 0.1567, aux.acc_seg: 68.1564, loss: 0.4997 2022-06-18 14:43:05,582 - mmseg - INFO - Saving checkpoint at 81000 iterations 2022-06-18 14:43:06,289 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 14:43:06,289 - mmseg - INFO - Iter [81000/160000] lr: 3.042e-05, eta: 5:13:00, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3654, decode.acc_seg: 69.6423, aux.loss_ce: 0.1663, aux.acc_seg: 68.4641, loss: 0.5317 2022-06-18 14:43:17,968 - mmseg - INFO - Iter [81050/160000] lr: 3.040e-05, eta: 5:12:47, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3506, decode.acc_seg: 69.6059, aux.loss_ce: 0.1613, aux.acc_seg: 68.2518, loss: 0.5119 2022-06-18 14:43:29,362 - mmseg - INFO - Iter [81100/160000] lr: 3.038e-05, eta: 5:12:35, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3728, decode.acc_seg: 69.4114, aux.loss_ce: 0.1707, aux.acc_seg: 68.1424, loss: 0.5436 2022-06-18 14:43:41,051 - mmseg - INFO - Iter [81150/160000] lr: 3.036e-05, eta: 5:12:23, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3894, decode.acc_seg: 70.1272, aux.loss_ce: 0.1780, aux.acc_seg: 68.6377, loss: 0.5674 2022-06-18 14:43:52,594 - mmseg - INFO - Iter [81200/160000] lr: 3.034e-05, eta: 5:12:11, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3619, decode.acc_seg: 69.5210, aux.loss_ce: 0.1663, aux.acc_seg: 68.1792, loss: 0.5282 2022-06-18 14:44:04,475 - mmseg - INFO - Iter [81250/160000] lr: 3.032e-05, eta: 5:11:59, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3655, decode.acc_seg: 69.4652, aux.loss_ce: 0.1653, aux.acc_seg: 68.1928, loss: 0.5308 2022-06-18 14:44:16,385 - mmseg - INFO - Iter [81300/160000] lr: 3.030e-05, eta: 5:11:47, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3648, decode.acc_seg: 69.9870, aux.loss_ce: 0.1673, aux.acc_seg: 68.7613, loss: 0.5321 2022-06-18 14:44:28,102 - mmseg - INFO - Iter [81350/160000] lr: 3.028e-05, eta: 5:11:35, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3499, decode.acc_seg: 69.5588, aux.loss_ce: 0.1620, aux.acc_seg: 68.1242, loss: 0.5119 2022-06-18 14:44:39,684 - mmseg - INFO - Iter [81400/160000] lr: 3.026e-05, eta: 5:11:23, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3662, decode.acc_seg: 69.8584, aux.loss_ce: 0.1668, aux.acc_seg: 68.8729, loss: 0.5330 2022-06-18 14:44:51,424 - mmseg - INFO - Iter [81450/160000] lr: 3.024e-05, eta: 5:11:11, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3515, decode.acc_seg: 70.6842, aux.loss_ce: 0.1616, aux.acc_seg: 69.3149, loss: 0.5131 2022-06-18 14:45:03,088 - mmseg - INFO - Iter [81500/160000] lr: 3.022e-05, eta: 5:10:59, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3707, decode.acc_seg: 68.1984, aux.loss_ce: 0.1698, aux.acc_seg: 66.8111, loss: 0.5405 2022-06-18 14:45:14,929 - mmseg - INFO - Iter [81550/160000] lr: 3.020e-05, eta: 5:10:47, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3755, decode.acc_seg: 68.4585, aux.loss_ce: 0.1695, aux.acc_seg: 67.4211, loss: 0.5450 2022-06-18 14:45:26,885 - mmseg - INFO - Iter [81600/160000] lr: 3.018e-05, eta: 5:10:35, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3689, decode.acc_seg: 69.8384, aux.loss_ce: 0.1698, aux.acc_seg: 68.5714, loss: 0.5386 2022-06-18 14:45:38,802 - mmseg - INFO - Iter [81650/160000] lr: 3.017e-05, eta: 5:10:23, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3505, decode.acc_seg: 69.1860, aux.loss_ce: 0.1620, aux.acc_seg: 68.0306, loss: 0.5126 2022-06-18 14:45:50,419 - mmseg - INFO - Iter [81700/160000] lr: 3.015e-05, eta: 5:10:11, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3847, decode.acc_seg: 69.4732, aux.loss_ce: 0.1768, aux.acc_seg: 68.0800, loss: 0.5614 2022-06-18 14:46:02,198 - mmseg - INFO - Iter [81750/160000] lr: 3.013e-05, eta: 5:09:59, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3821, decode.acc_seg: 69.1642, aux.loss_ce: 0.1768, aux.acc_seg: 67.5382, loss: 0.5590 2022-06-18 14:46:13,984 - mmseg - INFO - Iter [81800/160000] lr: 3.011e-05, eta: 5:09:47, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3609, decode.acc_seg: 68.4462, aux.loss_ce: 0.1645, aux.acc_seg: 67.1599, loss: 0.5254 2022-06-18 14:46:25,668 - mmseg - INFO - Iter [81850/160000] lr: 3.009e-05, eta: 5:09:35, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3590, decode.acc_seg: 69.1448, aux.loss_ce: 0.1636, aux.acc_seg: 67.9698, loss: 0.5227 2022-06-18 14:46:37,566 - mmseg - INFO - Iter [81900/160000] lr: 3.007e-05, eta: 5:09:23, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3797, decode.acc_seg: 68.9981, aux.loss_ce: 0.1716, aux.acc_seg: 67.7250, loss: 0.5512 2022-06-18 14:46:49,335 - mmseg - INFO - Iter [81950/160000] lr: 3.005e-05, eta: 5:09:11, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3557, decode.acc_seg: 69.6431, aux.loss_ce: 0.1648, aux.acc_seg: 68.2150, loss: 0.5205 2022-06-18 14:47:01,207 - mmseg - INFO - Saving checkpoint at 82000 iterations 2022-06-18 14:47:01,941 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 14:47:01,942 - mmseg - INFO - Iter [82000/160000] lr: 3.003e-05, eta: 5:09:00, time: 0.252, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3634, decode.acc_seg: 69.4318, aux.loss_ce: 0.1635, aux.acc_seg: 68.2639, loss: 0.5269 2022-06-18 14:47:13,604 - mmseg - INFO - Iter [82050/160000] lr: 3.001e-05, eta: 5:08:48, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3502, decode.acc_seg: 70.1451, aux.loss_ce: 0.1633, aux.acc_seg: 68.7113, loss: 0.5135 2022-06-18 14:47:27,373 - mmseg - INFO - Iter [82100/160000] lr: 2.999e-05, eta: 5:08:38, time: 0.275, data_time: 0.049, memory: 36048, decode.loss_ce: 0.3589, decode.acc_seg: 68.8490, aux.loss_ce: 0.1622, aux.acc_seg: 67.7344, loss: 0.5211 2022-06-18 14:47:39,084 - mmseg - INFO - Iter [82150/160000] lr: 2.997e-05, eta: 5:08:26, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3494, decode.acc_seg: 70.2713, aux.loss_ce: 0.1598, aux.acc_seg: 68.9777, loss: 0.5092 2022-06-18 14:47:50,632 - mmseg - INFO - Iter [82200/160000] lr: 2.995e-05, eta: 5:08:13, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3586, decode.acc_seg: 69.5534, aux.loss_ce: 0.1655, aux.acc_seg: 68.2872, loss: 0.5242 2022-06-18 14:48:02,394 - mmseg - INFO - Iter [82250/160000] lr: 2.993e-05, eta: 5:08:01, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3416, decode.acc_seg: 69.2073, aux.loss_ce: 0.1560, aux.acc_seg: 67.8515, loss: 0.4976 2022-06-18 14:48:14,079 - mmseg - INFO - Iter [82300/160000] lr: 2.992e-05, eta: 5:07:49, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3341, decode.acc_seg: 70.6402, aux.loss_ce: 0.1553, aux.acc_seg: 69.2737, loss: 0.4894 2022-06-18 14:48:25,993 - mmseg - INFO - Iter [82350/160000] lr: 2.990e-05, eta: 5:07:37, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3524, decode.acc_seg: 69.1602, aux.loss_ce: 0.1627, aux.acc_seg: 67.9034, loss: 0.5151 2022-06-18 14:48:37,580 - mmseg - INFO - Iter [82400/160000] lr: 2.988e-05, eta: 5:07:25, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3687, decode.acc_seg: 69.6890, aux.loss_ce: 0.1668, aux.acc_seg: 68.4696, loss: 0.5355 2022-06-18 14:48:49,096 - mmseg - INFO - Iter [82450/160000] lr: 2.986e-05, eta: 5:07:13, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3383, decode.acc_seg: 69.5327, aux.loss_ce: 0.1581, aux.acc_seg: 68.0562, loss: 0.4964 2022-06-18 14:49:00,937 - mmseg - INFO - Iter [82500/160000] lr: 2.984e-05, eta: 5:07:01, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3481, decode.acc_seg: 68.9899, aux.loss_ce: 0.1608, aux.acc_seg: 67.4350, loss: 0.5088 2022-06-18 14:49:12,729 - mmseg - INFO - Iter [82550/160000] lr: 2.982e-05, eta: 5:06:49, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3520, decode.acc_seg: 68.4999, aux.loss_ce: 0.1595, aux.acc_seg: 67.5030, loss: 0.5115 2022-06-18 14:49:24,458 - mmseg - INFO - Iter [82600/160000] lr: 2.980e-05, eta: 5:06:37, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3605, decode.acc_seg: 70.2084, aux.loss_ce: 0.1647, aux.acc_seg: 68.8536, loss: 0.5252 2022-06-18 14:49:35,847 - mmseg - INFO - Iter [82650/160000] lr: 2.978e-05, eta: 5:06:25, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3629, decode.acc_seg: 69.4052, aux.loss_ce: 0.1646, aux.acc_seg: 68.3882, loss: 0.5275 2022-06-18 14:49:47,611 - mmseg - INFO - Iter [82700/160000] lr: 2.976e-05, eta: 5:06:13, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3647, decode.acc_seg: 69.4468, aux.loss_ce: 0.1685, aux.acc_seg: 67.9636, loss: 0.5332 2022-06-18 14:49:59,625 - mmseg - INFO - Iter [82750/160000] lr: 2.974e-05, eta: 5:06:01, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3569, decode.acc_seg: 71.0375, aux.loss_ce: 0.1632, aux.acc_seg: 69.8397, loss: 0.5200 2022-06-18 14:50:11,358 - mmseg - INFO - Iter [82800/160000] lr: 2.972e-05, eta: 5:05:49, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3763, decode.acc_seg: 69.3501, aux.loss_ce: 0.1726, aux.acc_seg: 68.0309, loss: 0.5489 2022-06-18 14:50:22,995 - mmseg - INFO - Iter [82850/160000] lr: 2.970e-05, eta: 5:05:37, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3599, decode.acc_seg: 70.6042, aux.loss_ce: 0.1641, aux.acc_seg: 69.4825, loss: 0.5240 2022-06-18 14:50:34,518 - mmseg - INFO - Iter [82900/160000] lr: 2.968e-05, eta: 5:05:25, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3722, decode.acc_seg: 70.3040, aux.loss_ce: 0.1696, aux.acc_seg: 69.0518, loss: 0.5418 2022-06-18 14:50:46,310 - mmseg - INFO - Iter [82950/160000] lr: 2.967e-05, eta: 5:05:13, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3538, decode.acc_seg: 69.5954, aux.loss_ce: 0.1644, aux.acc_seg: 68.3870, loss: 0.5182 2022-06-18 14:50:58,065 - mmseg - INFO - Saving checkpoint at 83000 iterations 2022-06-18 14:50:58,780 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 14:50:58,780 - mmseg - INFO - Iter [83000/160000] lr: 2.965e-05, eta: 5:05:01, time: 0.249, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3450, decode.acc_seg: 69.0356, aux.loss_ce: 0.1584, aux.acc_seg: 67.8858, loss: 0.5033 2022-06-18 14:51:10,512 - mmseg - INFO - Iter [83050/160000] lr: 2.963e-05, eta: 5:04:49, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3546, decode.acc_seg: 69.5541, aux.loss_ce: 0.1640, aux.acc_seg: 68.2609, loss: 0.5186 2022-06-18 14:51:22,297 - mmseg - INFO - Iter [83100/160000] lr: 2.961e-05, eta: 5:04:37, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3537, decode.acc_seg: 69.5748, aux.loss_ce: 0.1633, aux.acc_seg: 68.2181, loss: 0.5169 2022-06-18 14:51:34,256 - mmseg - INFO - Iter [83150/160000] lr: 2.959e-05, eta: 5:04:26, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3420, decode.acc_seg: 69.1337, aux.loss_ce: 0.1554, aux.acc_seg: 68.0132, loss: 0.4974 2022-06-18 14:51:45,864 - mmseg - INFO - Iter [83200/160000] lr: 2.957e-05, eta: 5:04:13, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3542, decode.acc_seg: 68.6835, aux.loss_ce: 0.1625, aux.acc_seg: 67.4053, loss: 0.5167 2022-06-18 14:51:57,624 - mmseg - INFO - Iter [83250/160000] lr: 2.955e-05, eta: 5:04:01, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3601, decode.acc_seg: 70.5218, aux.loss_ce: 0.1664, aux.acc_seg: 69.2051, loss: 0.5265 2022-06-18 14:52:09,139 - mmseg - INFO - Iter [83300/160000] lr: 2.953e-05, eta: 5:03:49, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3723, decode.acc_seg: 68.5382, aux.loss_ce: 0.1698, aux.acc_seg: 67.3965, loss: 0.5421 2022-06-18 14:52:20,784 - mmseg - INFO - Iter [83350/160000] lr: 2.951e-05, eta: 5:03:37, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3802, decode.acc_seg: 67.7435, aux.loss_ce: 0.1766, aux.acc_seg: 66.1602, loss: 0.5568 2022-06-18 14:52:34,727 - mmseg - INFO - Iter [83400/160000] lr: 2.949e-05, eta: 5:03:27, time: 0.279, data_time: 0.046, memory: 36048, decode.loss_ce: 0.3647, decode.acc_seg: 68.7478, aux.loss_ce: 0.1674, aux.acc_seg: 67.5584, loss: 0.5321 2022-06-18 14:52:46,350 - mmseg - INFO - Iter [83450/160000] lr: 2.947e-05, eta: 5:03:15, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3621, decode.acc_seg: 71.1361, aux.loss_ce: 0.1675, aux.acc_seg: 69.7662, loss: 0.5296 2022-06-18 14:52:57,882 - mmseg - INFO - Iter [83500/160000] lr: 2.945e-05, eta: 5:03:03, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3368, decode.acc_seg: 70.1210, aux.loss_ce: 0.1544, aux.acc_seg: 68.9374, loss: 0.4912 2022-06-18 14:53:09,369 - mmseg - INFO - Iter [83550/160000] lr: 2.943e-05, eta: 5:02:50, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3455, decode.acc_seg: 69.6611, aux.loss_ce: 0.1603, aux.acc_seg: 68.2888, loss: 0.5059 2022-06-18 14:53:21,039 - mmseg - INFO - Iter [83600/160000] lr: 2.941e-05, eta: 5:02:38, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3544, decode.acc_seg: 70.8058, aux.loss_ce: 0.1624, aux.acc_seg: 69.8066, loss: 0.5168 2022-06-18 14:53:32,474 - mmseg - INFO - Iter [83650/160000] lr: 2.940e-05, eta: 5:02:26, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3521, decode.acc_seg: 68.8768, aux.loss_ce: 0.1625, aux.acc_seg: 67.6007, loss: 0.5146 2022-06-18 14:53:44,122 - mmseg - INFO - Iter [83700/160000] lr: 2.938e-05, eta: 5:02:14, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3613, decode.acc_seg: 68.7317, aux.loss_ce: 0.1637, aux.acc_seg: 67.6679, loss: 0.5250 2022-06-18 14:53:55,459 - mmseg - INFO - Iter [83750/160000] lr: 2.936e-05, eta: 5:02:02, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3516, decode.acc_seg: 68.7292, aux.loss_ce: 0.1625, aux.acc_seg: 67.2882, loss: 0.5141 2022-06-18 14:54:06,953 - mmseg - INFO - Iter [83800/160000] lr: 2.934e-05, eta: 5:01:49, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3513, decode.acc_seg: 70.3220, aux.loss_ce: 0.1643, aux.acc_seg: 68.9913, loss: 0.5156 2022-06-18 14:54:19,045 - mmseg - INFO - Iter [83850/160000] lr: 2.932e-05, eta: 5:01:38, time: 0.242, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3311, decode.acc_seg: 69.9352, aux.loss_ce: 0.1525, aux.acc_seg: 68.6492, loss: 0.4836 2022-06-18 14:54:30,608 - mmseg - INFO - Iter [83900/160000] lr: 2.930e-05, eta: 5:01:26, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3422, decode.acc_seg: 68.9836, aux.loss_ce: 0.1554, aux.acc_seg: 68.0101, loss: 0.4976 2022-06-18 14:54:42,184 - mmseg - INFO - Iter [83950/160000] lr: 2.928e-05, eta: 5:01:13, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3513, decode.acc_seg: 70.0123, aux.loss_ce: 0.1602, aux.acc_seg: 68.9477, loss: 0.5114 2022-06-18 14:54:54,050 - mmseg - INFO - Saving checkpoint at 84000 iterations 2022-06-18 14:54:54,793 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 14:54:54,793 - mmseg - INFO - Iter [84000/160000] lr: 2.926e-05, eta: 5:01:02, time: 0.253, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3660, decode.acc_seg: 70.4937, aux.loss_ce: 0.1679, aux.acc_seg: 69.1505, loss: 0.5339 2022-06-18 14:55:06,616 - mmseg - INFO - Iter [84050/160000] lr: 2.924e-05, eta: 5:00:50, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3501, decode.acc_seg: 68.6413, aux.loss_ce: 0.1600, aux.acc_seg: 67.5086, loss: 0.5102 2022-06-18 14:55:18,411 - mmseg - INFO - Iter [84100/160000] lr: 2.922e-05, eta: 5:00:38, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3623, decode.acc_seg: 69.4475, aux.loss_ce: 0.1682, aux.acc_seg: 68.0680, loss: 0.5305 2022-06-18 14:55:29,994 - mmseg - INFO - Iter [84150/160000] lr: 2.920e-05, eta: 5:00:26, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3656, decode.acc_seg: 70.3098, aux.loss_ce: 0.1647, aux.acc_seg: 69.0275, loss: 0.5303 2022-06-18 14:55:41,784 - mmseg - INFO - Iter [84200/160000] lr: 2.918e-05, eta: 5:00:14, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3564, decode.acc_seg: 69.6310, aux.loss_ce: 0.1652, aux.acc_seg: 68.1962, loss: 0.5217 2022-06-18 14:55:53,424 - mmseg - INFO - Iter [84250/160000] lr: 2.916e-05, eta: 5:00:02, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3546, decode.acc_seg: 68.7210, aux.loss_ce: 0.1615, aux.acc_seg: 67.4768, loss: 0.5160 2022-06-18 14:56:05,007 - mmseg - INFO - Iter [84300/160000] lr: 2.915e-05, eta: 4:59:50, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3611, decode.acc_seg: 69.1590, aux.loss_ce: 0.1660, aux.acc_seg: 67.9390, loss: 0.5271 2022-06-18 14:56:16,567 - mmseg - INFO - Iter [84350/160000] lr: 2.913e-05, eta: 4:59:38, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3669, decode.acc_seg: 69.2100, aux.loss_ce: 0.1682, aux.acc_seg: 67.9986, loss: 0.5351 2022-06-18 14:56:28,541 - mmseg - INFO - Iter [84400/160000] lr: 2.911e-05, eta: 4:59:26, time: 0.240, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3946, decode.acc_seg: 69.1295, aux.loss_ce: 0.1796, aux.acc_seg: 67.6768, loss: 0.5742 2022-06-18 14:56:40,350 - mmseg - INFO - Iter [84450/160000] lr: 2.909e-05, eta: 4:59:14, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3701, decode.acc_seg: 69.3584, aux.loss_ce: 0.1674, aux.acc_seg: 68.0984, loss: 0.5375 2022-06-18 14:56:52,050 - mmseg - INFO - Iter [84500/160000] lr: 2.907e-05, eta: 4:59:02, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3371, decode.acc_seg: 70.2856, aux.loss_ce: 0.1560, aux.acc_seg: 69.0538, loss: 0.4931 2022-06-18 14:57:03,825 - mmseg - INFO - Iter [84550/160000] lr: 2.905e-05, eta: 4:58:50, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3663, decode.acc_seg: 69.5672, aux.loss_ce: 0.1697, aux.acc_seg: 68.2171, loss: 0.5359 2022-06-18 14:57:15,485 - mmseg - INFO - Iter [84600/160000] lr: 2.903e-05, eta: 4:58:38, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3386, decode.acc_seg: 69.2393, aux.loss_ce: 0.1561, aux.acc_seg: 68.1531, loss: 0.4947 2022-06-18 14:57:29,278 - mmseg - INFO - Iter [84650/160000] lr: 2.901e-05, eta: 4:58:28, time: 0.276, data_time: 0.050, memory: 36048, decode.loss_ce: 0.3301, decode.acc_seg: 69.5738, aux.loss_ce: 0.1545, aux.acc_seg: 68.2119, loss: 0.4846 2022-06-18 14:57:40,759 - mmseg - INFO - Iter [84700/160000] lr: 2.899e-05, eta: 4:58:15, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3630, decode.acc_seg: 69.0076, aux.loss_ce: 0.1665, aux.acc_seg: 67.6552, loss: 0.5295 2022-06-18 14:57:52,284 - mmseg - INFO - Iter [84750/160000] lr: 2.897e-05, eta: 4:58:03, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3614, decode.acc_seg: 68.7558, aux.loss_ce: 0.1662, aux.acc_seg: 67.2391, loss: 0.5276 2022-06-18 14:58:04,016 - mmseg - INFO - Iter [84800/160000] lr: 2.895e-05, eta: 4:57:51, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3654, decode.acc_seg: 69.5851, aux.loss_ce: 0.1665, aux.acc_seg: 68.3363, loss: 0.5318 2022-06-18 14:58:15,381 - mmseg - INFO - Iter [84850/160000] lr: 2.893e-05, eta: 4:57:39, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3503, decode.acc_seg: 69.6807, aux.loss_ce: 0.1603, aux.acc_seg: 68.2976, loss: 0.5106 2022-06-18 14:58:27,072 - mmseg - INFO - Iter [84900/160000] lr: 2.891e-05, eta: 4:57:27, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3483, decode.acc_seg: 69.2970, aux.loss_ce: 0.1612, aux.acc_seg: 67.9735, loss: 0.5095 2022-06-18 14:58:38,743 - mmseg - INFO - Iter [84950/160000] lr: 2.890e-05, eta: 4:57:15, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3465, decode.acc_seg: 70.4966, aux.loss_ce: 0.1587, aux.acc_seg: 69.3789, loss: 0.5052 2022-06-18 14:58:50,282 - mmseg - INFO - Saving checkpoint at 85000 iterations 2022-06-18 14:58:50,986 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 14:58:50,986 - mmseg - INFO - Iter [85000/160000] lr: 2.888e-05, eta: 4:57:03, time: 0.245, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3478, decode.acc_seg: 70.7597, aux.loss_ce: 0.1622, aux.acc_seg: 69.2466, loss: 0.5099 2022-06-18 14:59:02,467 - mmseg - INFO - Iter [85050/160000] lr: 2.886e-05, eta: 4:56:51, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3377, decode.acc_seg: 69.7746, aux.loss_ce: 0.1567, aux.acc_seg: 68.4560, loss: 0.4945 2022-06-18 14:59:14,025 - mmseg - INFO - Iter [85100/160000] lr: 2.884e-05, eta: 4:56:39, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3495, decode.acc_seg: 70.3578, aux.loss_ce: 0.1617, aux.acc_seg: 69.1554, loss: 0.5112 2022-06-18 14:59:25,721 - mmseg - INFO - Iter [85150/160000] lr: 2.882e-05, eta: 4:56:27, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3677, decode.acc_seg: 69.9613, aux.loss_ce: 0.1677, aux.acc_seg: 68.8577, loss: 0.5354 2022-06-18 14:59:37,508 - mmseg - INFO - Iter [85200/160000] lr: 2.880e-05, eta: 4:56:15, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3420, decode.acc_seg: 71.4823, aux.loss_ce: 0.1598, aux.acc_seg: 69.9049, loss: 0.5018 2022-06-18 14:59:49,271 - mmseg - INFO - Iter [85250/160000] lr: 2.878e-05, eta: 4:56:03, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3460, decode.acc_seg: 70.0942, aux.loss_ce: 0.1591, aux.acc_seg: 68.8330, loss: 0.5051 2022-06-18 15:00:00,947 - mmseg - INFO - Iter [85300/160000] lr: 2.876e-05, eta: 4:55:51, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3424, decode.acc_seg: 69.6067, aux.loss_ce: 0.1580, aux.acc_seg: 68.2524, loss: 0.5003 2022-06-18 15:00:12,377 - mmseg - INFO - Iter [85350/160000] lr: 2.874e-05, eta: 4:55:38, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3337, decode.acc_seg: 71.4255, aux.loss_ce: 0.1549, aux.acc_seg: 70.2190, loss: 0.4886 2022-06-18 15:00:24,045 - mmseg - INFO - Iter [85400/160000] lr: 2.872e-05, eta: 4:55:26, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3280, decode.acc_seg: 69.1331, aux.loss_ce: 0.1507, aux.acc_seg: 68.0016, loss: 0.4787 2022-06-18 15:00:35,580 - mmseg - INFO - Iter [85450/160000] lr: 2.870e-05, eta: 4:55:14, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3397, decode.acc_seg: 69.2179, aux.loss_ce: 0.1588, aux.acc_seg: 67.6441, loss: 0.4985 2022-06-18 15:00:47,103 - mmseg - INFO - Iter [85500/160000] lr: 2.868e-05, eta: 4:55:02, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3676, decode.acc_seg: 69.0926, aux.loss_ce: 0.1670, aux.acc_seg: 67.8573, loss: 0.5346 2022-06-18 15:00:59,071 - mmseg - INFO - Iter [85550/160000] lr: 2.866e-05, eta: 4:54:50, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3569, decode.acc_seg: 69.7522, aux.loss_ce: 0.1657, aux.acc_seg: 68.3001, loss: 0.5226 2022-06-18 15:01:10,732 - mmseg - INFO - Iter [85600/160000] lr: 2.864e-05, eta: 4:54:38, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3580, decode.acc_seg: 68.5497, aux.loss_ce: 0.1656, aux.acc_seg: 67.1534, loss: 0.5236 2022-06-18 15:01:22,283 - mmseg - INFO - Iter [85650/160000] lr: 2.863e-05, eta: 4:54:26, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3606, decode.acc_seg: 68.7837, aux.loss_ce: 0.1673, aux.acc_seg: 67.5125, loss: 0.5280 2022-06-18 15:01:33,994 - mmseg - INFO - Iter [85700/160000] lr: 2.861e-05, eta: 4:54:14, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3745, decode.acc_seg: 68.7278, aux.loss_ce: 0.1700, aux.acc_seg: 67.4717, loss: 0.5444 2022-06-18 15:01:45,786 - mmseg - INFO - Iter [85750/160000] lr: 2.859e-05, eta: 4:54:02, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3505, decode.acc_seg: 70.7553, aux.loss_ce: 0.1632, aux.acc_seg: 69.3786, loss: 0.5137 2022-06-18 15:01:57,338 - mmseg - INFO - Iter [85800/160000] lr: 2.857e-05, eta: 4:53:50, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3598, decode.acc_seg: 70.7553, aux.loss_ce: 0.1647, aux.acc_seg: 69.4732, loss: 0.5245 2022-06-18 15:02:08,997 - mmseg - INFO - Iter [85850/160000] lr: 2.855e-05, eta: 4:53:38, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3511, decode.acc_seg: 70.0473, aux.loss_ce: 0.1628, aux.acc_seg: 68.9005, loss: 0.5139 2022-06-18 15:02:22,762 - mmseg - INFO - Iter [85900/160000] lr: 2.853e-05, eta: 4:53:27, time: 0.275, data_time: 0.049, memory: 36048, decode.loss_ce: 0.3676, decode.acc_seg: 70.3623, aux.loss_ce: 0.1675, aux.acc_seg: 69.1819, loss: 0.5351 2022-06-18 15:02:34,323 - mmseg - INFO - Iter [85950/160000] lr: 2.851e-05, eta: 4:53:15, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3570, decode.acc_seg: 68.8543, aux.loss_ce: 0.1664, aux.acc_seg: 67.3467, loss: 0.5234 2022-06-18 15:02:45,909 - mmseg - INFO - Saving checkpoint at 86000 iterations 2022-06-18 15:02:46,611 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 15:02:46,611 - mmseg - INFO - Iter [86000/160000] lr: 2.849e-05, eta: 4:53:04, time: 0.246, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3234, decode.acc_seg: 69.6057, aux.loss_ce: 0.1481, aux.acc_seg: 68.5175, loss: 0.4715 2022-06-18 15:02:58,235 - mmseg - INFO - Iter [86050/160000] lr: 2.847e-05, eta: 4:52:52, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3239, decode.acc_seg: 70.9736, aux.loss_ce: 0.1512, aux.acc_seg: 69.7297, loss: 0.4751 2022-06-18 15:03:09,800 - mmseg - INFO - Iter [86100/160000] lr: 2.845e-05, eta: 4:52:39, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3364, decode.acc_seg: 68.7776, aux.loss_ce: 0.1554, aux.acc_seg: 67.4449, loss: 0.4918 2022-06-18 15:03:21,936 - mmseg - INFO - Iter [86150/160000] lr: 2.843e-05, eta: 4:52:28, time: 0.243, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3263, decode.acc_seg: 69.9692, aux.loss_ce: 0.1529, aux.acc_seg: 68.4525, loss: 0.4792 2022-06-18 15:03:33,533 - mmseg - INFO - Iter [86200/160000] lr: 2.841e-05, eta: 4:52:16, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3425, decode.acc_seg: 70.8314, aux.loss_ce: 0.1574, aux.acc_seg: 69.6113, loss: 0.4999 2022-06-18 15:03:45,284 - mmseg - INFO - Iter [86250/160000] lr: 2.839e-05, eta: 4:52:04, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3355, decode.acc_seg: 69.4354, aux.loss_ce: 0.1533, aux.acc_seg: 68.1588, loss: 0.4887 2022-06-18 15:03:57,002 - mmseg - INFO - Iter [86300/160000] lr: 2.838e-05, eta: 4:51:52, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3443, decode.acc_seg: 69.3722, aux.loss_ce: 0.1615, aux.acc_seg: 68.0819, loss: 0.5058 2022-06-18 15:04:08,438 - mmseg - INFO - Iter [86350/160000] lr: 2.836e-05, eta: 4:51:39, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3451, decode.acc_seg: 70.3879, aux.loss_ce: 0.1606, aux.acc_seg: 69.0866, loss: 0.5057 2022-06-18 15:04:20,074 - mmseg - INFO - Iter [86400/160000] lr: 2.834e-05, eta: 4:51:27, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3661, decode.acc_seg: 69.1689, aux.loss_ce: 0.1707, aux.acc_seg: 67.7488, loss: 0.5369 2022-06-18 15:04:31,722 - mmseg - INFO - Iter [86450/160000] lr: 2.832e-05, eta: 4:51:15, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3503, decode.acc_seg: 70.4166, aux.loss_ce: 0.1635, aux.acc_seg: 69.0345, loss: 0.5138 2022-06-18 15:04:43,755 - mmseg - INFO - Iter [86500/160000] lr: 2.830e-05, eta: 4:51:04, time: 0.241, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3395, decode.acc_seg: 70.3039, aux.loss_ce: 0.1563, aux.acc_seg: 69.1140, loss: 0.4958 2022-06-18 15:04:55,424 - mmseg - INFO - Iter [86550/160000] lr: 2.828e-05, eta: 4:50:51, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3682, decode.acc_seg: 69.9328, aux.loss_ce: 0.1672, aux.acc_seg: 68.7164, loss: 0.5354 2022-06-18 15:05:06,925 - mmseg - INFO - Iter [86600/160000] lr: 2.826e-05, eta: 4:50:39, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3669, decode.acc_seg: 68.2986, aux.loss_ce: 0.1695, aux.acc_seg: 67.0289, loss: 0.5364 2022-06-18 15:05:18,602 - mmseg - INFO - Iter [86650/160000] lr: 2.824e-05, eta: 4:50:27, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3554, decode.acc_seg: 69.9137, aux.loss_ce: 0.1647, aux.acc_seg: 68.5987, loss: 0.5201 2022-06-18 15:05:30,355 - mmseg - INFO - Iter [86700/160000] lr: 2.822e-05, eta: 4:50:15, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3443, decode.acc_seg: 69.5357, aux.loss_ce: 0.1600, aux.acc_seg: 68.3529, loss: 0.5042 2022-06-18 15:05:42,230 - mmseg - INFO - Iter [86750/160000] lr: 2.820e-05, eta: 4:50:03, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3593, decode.acc_seg: 69.7230, aux.loss_ce: 0.1670, aux.acc_seg: 68.5483, loss: 0.5263 2022-06-18 15:05:53,919 - mmseg - INFO - Iter [86800/160000] lr: 2.818e-05, eta: 4:49:51, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3334, decode.acc_seg: 69.3872, aux.loss_ce: 0.1534, aux.acc_seg: 68.1679, loss: 0.4868 2022-06-18 15:06:05,641 - mmseg - INFO - Iter [86850/160000] lr: 2.816e-05, eta: 4:49:39, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3450, decode.acc_seg: 70.0601, aux.loss_ce: 0.1595, aux.acc_seg: 68.8109, loss: 0.5045 2022-06-18 15:06:17,434 - mmseg - INFO - Iter [86900/160000] lr: 2.814e-05, eta: 4:49:27, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3684, decode.acc_seg: 68.3457, aux.loss_ce: 0.1703, aux.acc_seg: 66.8217, loss: 0.5387 2022-06-18 15:06:29,099 - mmseg - INFO - Iter [86950/160000] lr: 2.813e-05, eta: 4:49:15, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3452, decode.acc_seg: 69.6333, aux.loss_ce: 0.1588, aux.acc_seg: 68.5050, loss: 0.5040 2022-06-18 15:06:40,881 - mmseg - INFO - Saving checkpoint at 87000 iterations 2022-06-18 15:06:41,584 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 15:06:41,584 - mmseg - INFO - Iter [87000/160000] lr: 2.811e-05, eta: 4:49:04, time: 0.250, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3562, decode.acc_seg: 70.7535, aux.loss_ce: 0.1635, aux.acc_seg: 69.4487, loss: 0.5197 2022-06-18 15:06:53,328 - mmseg - INFO - Iter [87050/160000] lr: 2.809e-05, eta: 4:48:52, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3462, decode.acc_seg: 70.8763, aux.loss_ce: 0.1615, aux.acc_seg: 69.5214, loss: 0.5076 2022-06-18 15:07:05,221 - mmseg - INFO - Iter [87100/160000] lr: 2.807e-05, eta: 4:48:40, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3508, decode.acc_seg: 68.8434, aux.loss_ce: 0.1601, aux.acc_seg: 67.6712, loss: 0.5108 2022-06-18 15:07:19,162 - mmseg - INFO - Iter [87150/160000] lr: 2.805e-05, eta: 4:48:30, time: 0.278, data_time: 0.049, memory: 36048, decode.loss_ce: 0.3446, decode.acc_seg: 69.6520, aux.loss_ce: 0.1585, aux.acc_seg: 68.2100, loss: 0.5031 2022-06-18 15:07:30,728 - mmseg - INFO - Iter [87200/160000] lr: 2.803e-05, eta: 4:48:18, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3240, decode.acc_seg: 70.9247, aux.loss_ce: 0.1520, aux.acc_seg: 69.5361, loss: 0.4760 2022-06-18 15:07:42,569 - mmseg - INFO - Iter [87250/160000] lr: 2.801e-05, eta: 4:48:06, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3293, decode.acc_seg: 71.9056, aux.loss_ce: 0.1547, aux.acc_seg: 70.4937, loss: 0.4840 2022-06-18 15:07:54,243 - mmseg - INFO - Iter [87300/160000] lr: 2.799e-05, eta: 4:47:54, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3486, decode.acc_seg: 70.7026, aux.loss_ce: 0.1605, aux.acc_seg: 69.4363, loss: 0.5091 2022-06-18 15:08:06,046 - mmseg - INFO - Iter [87350/160000] lr: 2.797e-05, eta: 4:47:42, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3370, decode.acc_seg: 70.4879, aux.loss_ce: 0.1559, aux.acc_seg: 69.2170, loss: 0.4929 2022-06-18 15:08:17,706 - mmseg - INFO - Iter [87400/160000] lr: 2.795e-05, eta: 4:47:30, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3308, decode.acc_seg: 69.7210, aux.loss_ce: 0.1534, aux.acc_seg: 68.4156, loss: 0.4842 2022-06-18 15:08:29,450 - mmseg - INFO - Iter [87450/160000] lr: 2.793e-05, eta: 4:47:18, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3329, decode.acc_seg: 69.7098, aux.loss_ce: 0.1550, aux.acc_seg: 68.4004, loss: 0.4878 2022-06-18 15:08:41,082 - mmseg - INFO - Iter [87500/160000] lr: 2.791e-05, eta: 4:47:06, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3335, decode.acc_seg: 71.1978, aux.loss_ce: 0.1568, aux.acc_seg: 69.8841, loss: 0.4903 2022-06-18 15:08:52,754 - mmseg - INFO - Iter [87550/160000] lr: 2.789e-05, eta: 4:46:54, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3329, decode.acc_seg: 69.7346, aux.loss_ce: 0.1549, aux.acc_seg: 68.4104, loss: 0.4878 2022-06-18 15:09:04,465 - mmseg - INFO - Iter [87600/160000] lr: 2.787e-05, eta: 4:46:42, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3378, decode.acc_seg: 68.7742, aux.loss_ce: 0.1579, aux.acc_seg: 67.3927, loss: 0.4958 2022-06-18 15:09:16,195 - mmseg - INFO - Iter [87650/160000] lr: 2.786e-05, eta: 4:46:30, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3380, decode.acc_seg: 70.2524, aux.loss_ce: 0.1564, aux.acc_seg: 68.9590, loss: 0.4945 2022-06-18 15:09:27,695 - mmseg - INFO - Iter [87700/160000] lr: 2.784e-05, eta: 4:46:17, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3449, decode.acc_seg: 71.0210, aux.loss_ce: 0.1586, aux.acc_seg: 69.7125, loss: 0.5035 2022-06-18 15:09:39,174 - mmseg - INFO - Iter [87750/160000] lr: 2.782e-05, eta: 4:46:05, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3559, decode.acc_seg: 69.1268, aux.loss_ce: 0.1652, aux.acc_seg: 67.7939, loss: 0.5211 2022-06-18 15:09:50,771 - mmseg - INFO - Iter [87800/160000] lr: 2.780e-05, eta: 4:45:53, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3646, decode.acc_seg: 70.5409, aux.loss_ce: 0.1673, aux.acc_seg: 69.2657, loss: 0.5319 2022-06-18 15:10:02,360 - mmseg - INFO - Iter [87850/160000] lr: 2.778e-05, eta: 4:45:41, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3437, decode.acc_seg: 69.7082, aux.loss_ce: 0.1584, aux.acc_seg: 68.5433, loss: 0.5021 2022-06-18 15:10:13,935 - mmseg - INFO - Iter [87900/160000] lr: 2.776e-05, eta: 4:45:29, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3520, decode.acc_seg: 69.1235, aux.loss_ce: 0.1621, aux.acc_seg: 67.7636, loss: 0.5141 2022-06-18 15:10:25,511 - mmseg - INFO - Iter [87950/160000] lr: 2.774e-05, eta: 4:45:17, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3645, decode.acc_seg: 67.6633, aux.loss_ce: 0.1655, aux.acc_seg: 66.4759, loss: 0.5299 2022-06-18 15:10:37,534 - mmseg - INFO - Saving checkpoint at 88000 iterations 2022-06-18 15:10:38,239 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 15:10:38,240 - mmseg - INFO - Iter [88000/160000] lr: 2.772e-05, eta: 4:45:06, time: 0.255, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3729, decode.acc_seg: 69.1035, aux.loss_ce: 0.1729, aux.acc_seg: 67.6796, loss: 0.5458 2022-06-18 15:10:49,931 - mmseg - INFO - Iter [88050/160000] lr: 2.770e-05, eta: 4:44:54, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3680, decode.acc_seg: 68.6608, aux.loss_ce: 0.1691, aux.acc_seg: 67.2390, loss: 0.5371 2022-06-18 15:11:01,734 - mmseg - INFO - Iter [88100/160000] lr: 2.768e-05, eta: 4:44:42, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3540, decode.acc_seg: 68.7559, aux.loss_ce: 0.1642, aux.acc_seg: 67.7417, loss: 0.5182 2022-06-18 15:11:13,241 - mmseg - INFO - Iter [88150/160000] lr: 2.766e-05, eta: 4:44:29, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3626, decode.acc_seg: 70.2262, aux.loss_ce: 0.1700, aux.acc_seg: 68.6040, loss: 0.5326 2022-06-18 15:11:24,810 - mmseg - INFO - Iter [88200/160000] lr: 2.764e-05, eta: 4:44:17, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3471, decode.acc_seg: 69.9961, aux.loss_ce: 0.1603, aux.acc_seg: 68.6767, loss: 0.5074 2022-06-18 15:11:36,278 - mmseg - INFO - Iter [88250/160000] lr: 2.762e-05, eta: 4:44:05, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3514, decode.acc_seg: 69.5364, aux.loss_ce: 0.1617, aux.acc_seg: 68.4476, loss: 0.5131 2022-06-18 15:11:47,732 - mmseg - INFO - Iter [88300/160000] lr: 2.761e-05, eta: 4:43:53, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3650, decode.acc_seg: 70.1244, aux.loss_ce: 0.1656, aux.acc_seg: 69.0074, loss: 0.5306 2022-06-18 15:11:59,273 - mmseg - INFO - Iter [88350/160000] lr: 2.759e-05, eta: 4:43:41, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3600, decode.acc_seg: 70.2119, aux.loss_ce: 0.1658, aux.acc_seg: 68.9558, loss: 0.5259 2022-06-18 15:12:10,886 - mmseg - INFO - Iter [88400/160000] lr: 2.757e-05, eta: 4:43:29, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3568, decode.acc_seg: 69.1874, aux.loss_ce: 0.1636, aux.acc_seg: 67.8560, loss: 0.5204 2022-06-18 15:12:24,752 - mmseg - INFO - Iter [88450/160000] lr: 2.755e-05, eta: 4:43:18, time: 0.277, data_time: 0.049, memory: 36048, decode.loss_ce: 0.3428, decode.acc_seg: 69.9747, aux.loss_ce: 0.1587, aux.acc_seg: 68.7337, loss: 0.5014 2022-06-18 15:12:36,307 - mmseg - INFO - Iter [88500/160000] lr: 2.753e-05, eta: 4:43:06, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3492, decode.acc_seg: 69.5826, aux.loss_ce: 0.1599, aux.acc_seg: 68.4753, loss: 0.5091 2022-06-18 15:12:48,041 - mmseg - INFO - Iter [88550/160000] lr: 2.751e-05, eta: 4:42:54, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3484, decode.acc_seg: 70.4401, aux.loss_ce: 0.1601, aux.acc_seg: 69.2015, loss: 0.5085 2022-06-18 15:12:59,709 - mmseg - INFO - Iter [88600/160000] lr: 2.749e-05, eta: 4:42:42, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3380, decode.acc_seg: 70.6164, aux.loss_ce: 0.1597, aux.acc_seg: 69.2007, loss: 0.4977 2022-06-18 15:13:11,255 - mmseg - INFO - Iter [88650/160000] lr: 2.747e-05, eta: 4:42:30, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3240, decode.acc_seg: 69.6559, aux.loss_ce: 0.1512, aux.acc_seg: 68.5027, loss: 0.4752 2022-06-18 15:13:22,950 - mmseg - INFO - Iter [88700/160000] lr: 2.745e-05, eta: 4:42:18, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3177, decode.acc_seg: 69.2967, aux.loss_ce: 0.1483, aux.acc_seg: 67.8658, loss: 0.4660 2022-06-18 15:13:34,581 - mmseg - INFO - Iter [88750/160000] lr: 2.743e-05, eta: 4:42:06, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3401, decode.acc_seg: 70.3274, aux.loss_ce: 0.1604, aux.acc_seg: 68.7566, loss: 0.5005 2022-06-18 15:13:46,251 - mmseg - INFO - Iter [88800/160000] lr: 2.741e-05, eta: 4:41:54, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3413, decode.acc_seg: 70.1502, aux.loss_ce: 0.1583, aux.acc_seg: 68.7610, loss: 0.4995 2022-06-18 15:13:57,870 - mmseg - INFO - Iter [88850/160000] lr: 2.739e-05, eta: 4:41:42, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3470, decode.acc_seg: 69.7121, aux.loss_ce: 0.1620, aux.acc_seg: 68.1605, loss: 0.5090 2022-06-18 15:14:09,302 - mmseg - INFO - Iter [88900/160000] lr: 2.737e-05, eta: 4:41:29, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3446, decode.acc_seg: 70.9735, aux.loss_ce: 0.1605, aux.acc_seg: 69.6641, loss: 0.5050 2022-06-18 15:14:20,917 - mmseg - INFO - Iter [88950/160000] lr: 2.736e-05, eta: 4:41:17, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3275, decode.acc_seg: 69.6790, aux.loss_ce: 0.1520, aux.acc_seg: 68.5097, loss: 0.4795 2022-06-18 15:14:32,566 - mmseg - INFO - Saving checkpoint at 89000 iterations 2022-06-18 15:14:33,267 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 15:14:33,267 - mmseg - INFO - Iter [89000/160000] lr: 2.734e-05, eta: 4:41:06, time: 0.247, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3321, decode.acc_seg: 69.4258, aux.loss_ce: 0.1542, aux.acc_seg: 68.0908, loss: 0.4863 2022-06-18 15:14:44,722 - mmseg - INFO - Iter [89050/160000] lr: 2.732e-05, eta: 4:40:54, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3649, decode.acc_seg: 68.9885, aux.loss_ce: 0.1656, aux.acc_seg: 67.7616, loss: 0.5305 2022-06-18 15:14:56,498 - mmseg - INFO - Iter [89100/160000] lr: 2.730e-05, eta: 4:40:42, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3504, decode.acc_seg: 69.6245, aux.loss_ce: 0.1579, aux.acc_seg: 68.5705, loss: 0.5083 2022-06-18 15:15:08,297 - mmseg - INFO - Iter [89150/160000] lr: 2.728e-05, eta: 4:40:30, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3550, decode.acc_seg: 69.0292, aux.loss_ce: 0.1659, aux.acc_seg: 67.7244, loss: 0.5209 2022-06-18 15:15:19,817 - mmseg - INFO - Iter [89200/160000] lr: 2.726e-05, eta: 4:40:18, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3264, decode.acc_seg: 71.6994, aux.loss_ce: 0.1512, aux.acc_seg: 70.3695, loss: 0.4776 2022-06-18 15:15:31,426 - mmseg - INFO - Iter [89250/160000] lr: 2.724e-05, eta: 4:40:06, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3427, decode.acc_seg: 70.9428, aux.loss_ce: 0.1561, aux.acc_seg: 69.7874, loss: 0.4989 2022-06-18 15:15:43,106 - mmseg - INFO - Iter [89300/160000] lr: 2.722e-05, eta: 4:39:53, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3553, decode.acc_seg: 69.6594, aux.loss_ce: 0.1659, aux.acc_seg: 68.0923, loss: 0.5212 2022-06-18 15:15:54,729 - mmseg - INFO - Iter [89350/160000] lr: 2.720e-05, eta: 4:39:41, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3295, decode.acc_seg: 70.8534, aux.loss_ce: 0.1507, aux.acc_seg: 69.7484, loss: 0.4802 2022-06-18 15:16:06,746 - mmseg - INFO - Iter [89400/160000] lr: 2.718e-05, eta: 4:39:30, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3337, decode.acc_seg: 69.6428, aux.loss_ce: 0.1570, aux.acc_seg: 68.3157, loss: 0.4906 2022-06-18 15:16:18,886 - mmseg - INFO - Iter [89450/160000] lr: 2.716e-05, eta: 4:39:18, time: 0.243, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3420, decode.acc_seg: 68.3745, aux.loss_ce: 0.1583, aux.acc_seg: 67.0605, loss: 0.5004 2022-06-18 15:16:30,438 - mmseg - INFO - Iter [89500/160000] lr: 2.714e-05, eta: 4:39:06, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3411, decode.acc_seg: 68.7837, aux.loss_ce: 0.1569, aux.acc_seg: 67.7508, loss: 0.4980 2022-06-18 15:16:42,080 - mmseg - INFO - Iter [89550/160000] lr: 2.712e-05, eta: 4:38:54, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3540, decode.acc_seg: 69.1506, aux.loss_ce: 0.1633, aux.acc_seg: 67.8432, loss: 0.5172 2022-06-18 15:16:53,830 - mmseg - INFO - Iter [89600/160000] lr: 2.710e-05, eta: 4:38:42, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3467, decode.acc_seg: 70.3438, aux.loss_ce: 0.1613, aux.acc_seg: 68.9006, loss: 0.5080 2022-06-18 15:17:05,381 - mmseg - INFO - Iter [89650/160000] lr: 2.709e-05, eta: 4:38:30, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3161, decode.acc_seg: 68.9198, aux.loss_ce: 0.1469, aux.acc_seg: 67.6528, loss: 0.4630 2022-06-18 15:17:19,335 - mmseg - INFO - Iter [89700/160000] lr: 2.707e-05, eta: 4:38:19, time: 0.279, data_time: 0.049, memory: 36048, decode.loss_ce: 0.3534, decode.acc_seg: 70.5914, aux.loss_ce: 0.1640, aux.acc_seg: 69.2043, loss: 0.5174 2022-06-18 15:17:31,130 - mmseg - INFO - Iter [89750/160000] lr: 2.705e-05, eta: 4:38:07, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3448, decode.acc_seg: 71.0846, aux.loss_ce: 0.1571, aux.acc_seg: 69.9653, loss: 0.5019 2022-06-18 15:17:42,817 - mmseg - INFO - Iter [89800/160000] lr: 2.703e-05, eta: 4:37:55, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3428, decode.acc_seg: 69.4945, aux.loss_ce: 0.1575, aux.acc_seg: 68.1996, loss: 0.5004 2022-06-18 15:17:54,437 - mmseg - INFO - Iter [89850/160000] lr: 2.701e-05, eta: 4:37:43, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3381, decode.acc_seg: 69.0249, aux.loss_ce: 0.1548, aux.acc_seg: 67.7125, loss: 0.4929 2022-06-18 15:18:05,974 - mmseg - INFO - Iter [89900/160000] lr: 2.699e-05, eta: 4:37:31, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3457, decode.acc_seg: 69.7723, aux.loss_ce: 0.1608, aux.acc_seg: 68.3554, loss: 0.5065 2022-06-18 15:18:17,558 - mmseg - INFO - Iter [89950/160000] lr: 2.697e-05, eta: 4:37:19, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3136, decode.acc_seg: 71.0492, aux.loss_ce: 0.1481, aux.acc_seg: 69.5942, loss: 0.4617 2022-06-18 15:18:29,128 - mmseg - INFO - Saving checkpoint at 90000 iterations 2022-06-18 15:18:29,841 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 15:18:29,841 - mmseg - INFO - Iter [90000/160000] lr: 2.695e-05, eta: 4:37:08, time: 0.246, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3221, decode.acc_seg: 69.4600, aux.loss_ce: 0.1520, aux.acc_seg: 68.0512, loss: 0.4741 2022-06-18 15:18:41,570 - mmseg - INFO - Iter [90050/160000] lr: 2.693e-05, eta: 4:36:56, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3302, decode.acc_seg: 71.5773, aux.loss_ce: 0.1553, aux.acc_seg: 70.1705, loss: 0.4854 2022-06-18 15:18:53,205 - mmseg - INFO - Iter [90100/160000] lr: 2.691e-05, eta: 4:36:44, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3452, decode.acc_seg: 71.0561, aux.loss_ce: 0.1602, aux.acc_seg: 69.7128, loss: 0.5055 2022-06-18 15:19:04,996 - mmseg - INFO - Iter [90150/160000] lr: 2.689e-05, eta: 4:36:32, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3489, decode.acc_seg: 70.1487, aux.loss_ce: 0.1619, aux.acc_seg: 68.8547, loss: 0.5109 2022-06-18 15:19:16,605 - mmseg - INFO - Iter [90200/160000] lr: 2.687e-05, eta: 4:36:19, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3448, decode.acc_seg: 68.0447, aux.loss_ce: 0.1592, aux.acc_seg: 66.7122, loss: 0.5040 2022-06-18 15:19:28,406 - mmseg - INFO - Iter [90250/160000] lr: 2.685e-05, eta: 4:36:08, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3457, decode.acc_seg: 69.9814, aux.loss_ce: 0.1587, aux.acc_seg: 68.7468, loss: 0.5044 2022-06-18 15:19:40,119 - mmseg - INFO - Iter [90300/160000] lr: 2.684e-05, eta: 4:35:56, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3727, decode.acc_seg: 69.2704, aux.loss_ce: 0.1697, aux.acc_seg: 67.8786, loss: 0.5424 2022-06-18 15:19:51,578 - mmseg - INFO - Iter [90350/160000] lr: 2.682e-05, eta: 4:35:43, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3289, decode.acc_seg: 69.9034, aux.loss_ce: 0.1544, aux.acc_seg: 68.4523, loss: 0.4832 2022-06-18 15:20:03,249 - mmseg - INFO - Iter [90400/160000] lr: 2.680e-05, eta: 4:35:31, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3355, decode.acc_seg: 70.6849, aux.loss_ce: 0.1566, aux.acc_seg: 69.3746, loss: 0.4920 2022-06-18 15:20:15,121 - mmseg - INFO - Iter [90450/160000] lr: 2.678e-05, eta: 4:35:19, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3483, decode.acc_seg: 70.6392, aux.loss_ce: 0.1615, aux.acc_seg: 69.3528, loss: 0.5097 2022-06-18 15:20:26,932 - mmseg - INFO - Iter [90500/160000] lr: 2.676e-05, eta: 4:35:08, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3411, decode.acc_seg: 70.2845, aux.loss_ce: 0.1575, aux.acc_seg: 69.1409, loss: 0.4986 2022-06-18 15:20:38,505 - mmseg - INFO - Iter [90550/160000] lr: 2.674e-05, eta: 4:34:55, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3564, decode.acc_seg: 70.6349, aux.loss_ce: 0.1640, aux.acc_seg: 69.1727, loss: 0.5204 2022-06-18 15:20:50,296 - mmseg - INFO - Iter [90600/160000] lr: 2.672e-05, eta: 4:34:43, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3339, decode.acc_seg: 70.0453, aux.loss_ce: 0.1562, aux.acc_seg: 68.8322, loss: 0.4901 2022-06-18 15:21:02,146 - mmseg - INFO - Iter [90650/160000] lr: 2.670e-05, eta: 4:34:32, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3177, decode.acc_seg: 70.2166, aux.loss_ce: 0.1472, aux.acc_seg: 69.0007, loss: 0.4649 2022-06-18 15:21:13,504 - mmseg - INFO - Iter [90700/160000] lr: 2.668e-05, eta: 4:34:19, time: 0.228, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3342, decode.acc_seg: 70.1095, aux.loss_ce: 0.1565, aux.acc_seg: 68.6636, loss: 0.4907 2022-06-18 15:21:25,180 - mmseg - INFO - Iter [90750/160000] lr: 2.666e-05, eta: 4:34:07, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3289, decode.acc_seg: 69.1672, aux.loss_ce: 0.1527, aux.acc_seg: 67.9067, loss: 0.4816 2022-06-18 15:21:36,900 - mmseg - INFO - Iter [90800/160000] lr: 2.664e-05, eta: 4:33:55, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3623, decode.acc_seg: 68.8253, aux.loss_ce: 0.1639, aux.acc_seg: 67.6580, loss: 0.5262 2022-06-18 15:21:48,485 - mmseg - INFO - Iter [90850/160000] lr: 2.662e-05, eta: 4:33:43, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3648, decode.acc_seg: 69.5772, aux.loss_ce: 0.1657, aux.acc_seg: 68.4309, loss: 0.5305 2022-06-18 15:21:59,999 - mmseg - INFO - Iter [90900/160000] lr: 2.660e-05, eta: 4:33:31, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3455, decode.acc_seg: 69.3358, aux.loss_ce: 0.1621, aux.acc_seg: 67.8677, loss: 0.5075 2022-06-18 15:22:13,764 - mmseg - INFO - Iter [90950/160000] lr: 2.659e-05, eta: 4:33:21, time: 0.275, data_time: 0.048, memory: 36048, decode.loss_ce: 0.3460, decode.acc_seg: 69.5939, aux.loss_ce: 0.1591, aux.acc_seg: 68.4257, loss: 0.5052 2022-06-18 15:22:25,413 - mmseg - INFO - Saving checkpoint at 91000 iterations 2022-06-18 15:22:26,125 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 15:22:26,125 - mmseg - INFO - Iter [91000/160000] lr: 2.657e-05, eta: 4:33:09, time: 0.247, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3400, decode.acc_seg: 69.7560, aux.loss_ce: 0.1588, aux.acc_seg: 68.4133, loss: 0.4988 2022-06-18 15:22:37,728 - mmseg - INFO - Iter [91050/160000] lr: 2.655e-05, eta: 4:32:57, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3282, decode.acc_seg: 71.0835, aux.loss_ce: 0.1538, aux.acc_seg: 69.8054, loss: 0.4820 2022-06-18 15:22:49,361 - mmseg - INFO - Iter [91100/160000] lr: 2.653e-05, eta: 4:32:45, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3355, decode.acc_seg: 70.3781, aux.loss_ce: 0.1562, aux.acc_seg: 69.0162, loss: 0.4917 2022-06-18 15:23:00,890 - mmseg - INFO - Iter [91150/160000] lr: 2.651e-05, eta: 4:32:33, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3263, decode.acc_seg: 70.5559, aux.loss_ce: 0.1547, aux.acc_seg: 69.1007, loss: 0.4810 2022-06-18 15:23:12,482 - mmseg - INFO - Iter [91200/160000] lr: 2.649e-05, eta: 4:32:21, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3411, decode.acc_seg: 71.4548, aux.loss_ce: 0.1589, aux.acc_seg: 70.0782, loss: 0.5000 2022-06-18 15:23:24,219 - mmseg - INFO - Iter [91250/160000] lr: 2.647e-05, eta: 4:32:09, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3182, decode.acc_seg: 69.9047, aux.loss_ce: 0.1452, aux.acc_seg: 68.6790, loss: 0.4634 2022-06-18 15:23:35,998 - mmseg - INFO - Iter [91300/160000] lr: 2.645e-05, eta: 4:31:57, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3477, decode.acc_seg: 69.5673, aux.loss_ce: 0.1626, aux.acc_seg: 68.2268, loss: 0.5104 2022-06-18 15:23:47,930 - mmseg - INFO - Iter [91350/160000] lr: 2.643e-05, eta: 4:31:45, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3282, decode.acc_seg: 70.1531, aux.loss_ce: 0.1518, aux.acc_seg: 68.8470, loss: 0.4800 2022-06-18 15:23:59,657 - mmseg - INFO - Iter [91400/160000] lr: 2.641e-05, eta: 4:31:33, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3329, decode.acc_seg: 70.5677, aux.loss_ce: 0.1577, aux.acc_seg: 69.0781, loss: 0.4906 2022-06-18 15:24:11,101 - mmseg - INFO - Iter [91450/160000] lr: 2.639e-05, eta: 4:31:21, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3361, decode.acc_seg: 68.5951, aux.loss_ce: 0.1554, aux.acc_seg: 67.3668, loss: 0.4915 2022-06-18 15:24:22,898 - mmseg - INFO - Iter [91500/160000] lr: 2.637e-05, eta: 4:31:09, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3464, decode.acc_seg: 69.6192, aux.loss_ce: 0.1593, aux.acc_seg: 68.3255, loss: 0.5057 2022-06-18 15:24:34,539 - mmseg - INFO - Iter [91550/160000] lr: 2.635e-05, eta: 4:30:57, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3316, decode.acc_seg: 70.2867, aux.loss_ce: 0.1554, aux.acc_seg: 68.9516, loss: 0.4870 2022-06-18 15:24:46,134 - mmseg - INFO - Iter [91600/160000] lr: 2.633e-05, eta: 4:30:45, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3224, decode.acc_seg: 70.3313, aux.loss_ce: 0.1516, aux.acc_seg: 68.8094, loss: 0.4740 2022-06-18 15:24:57,830 - mmseg - INFO - Iter [91650/160000] lr: 2.632e-05, eta: 4:30:33, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3324, decode.acc_seg: 68.7628, aux.loss_ce: 0.1562, aux.acc_seg: 67.3341, loss: 0.4886 2022-06-18 15:25:09,460 - mmseg - INFO - Iter [91700/160000] lr: 2.630e-05, eta: 4:30:21, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3204, decode.acc_seg: 69.0616, aux.loss_ce: 0.1474, aux.acc_seg: 67.9681, loss: 0.4678 2022-06-18 15:25:21,340 - mmseg - INFO - Iter [91750/160000] lr: 2.628e-05, eta: 4:30:09, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3504, decode.acc_seg: 69.5966, aux.loss_ce: 0.1617, aux.acc_seg: 68.3471, loss: 0.5121 2022-06-18 15:25:32,900 - mmseg - INFO - Iter [91800/160000] lr: 2.626e-05, eta: 4:29:57, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3446, decode.acc_seg: 70.1865, aux.loss_ce: 0.1594, aux.acc_seg: 68.7855, loss: 0.5040 2022-06-18 15:25:44,548 - mmseg - INFO - Iter [91850/160000] lr: 2.624e-05, eta: 4:29:45, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3271, decode.acc_seg: 70.3619, aux.loss_ce: 0.1518, aux.acc_seg: 68.9778, loss: 0.4788 2022-06-18 15:25:56,067 - mmseg - INFO - Iter [91900/160000] lr: 2.622e-05, eta: 4:29:32, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3360, decode.acc_seg: 71.1531, aux.loss_ce: 0.1594, aux.acc_seg: 69.5585, loss: 0.4954 2022-06-18 15:26:07,919 - mmseg - INFO - Iter [91950/160000] lr: 2.620e-05, eta: 4:29:21, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3437, decode.acc_seg: 69.7466, aux.loss_ce: 0.1628, aux.acc_seg: 68.2443, loss: 0.5064 2022-06-18 15:26:19,640 - mmseg - INFO - Saving checkpoint at 92000 iterations 2022-06-18 15:26:20,353 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 15:26:20,353 - mmseg - INFO - Iter [92000/160000] lr: 2.618e-05, eta: 4:29:09, time: 0.249, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3375, decode.acc_seg: 70.9254, aux.loss_ce: 0.1550, aux.acc_seg: 69.5976, loss: 0.4925 2022-06-18 15:26:31,997 - mmseg - INFO - Iter [92050/160000] lr: 2.616e-05, eta: 4:28:57, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3330, decode.acc_seg: 70.6525, aux.loss_ce: 0.1533, aux.acc_seg: 69.5336, loss: 0.4863 2022-06-18 15:26:43,764 - mmseg - INFO - Iter [92100/160000] lr: 2.614e-05, eta: 4:28:45, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3241, decode.acc_seg: 70.9426, aux.loss_ce: 0.1504, aux.acc_seg: 69.7129, loss: 0.4745 2022-06-18 15:26:55,267 - mmseg - INFO - Iter [92150/160000] lr: 2.612e-05, eta: 4:28:33, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3338, decode.acc_seg: 70.9347, aux.loss_ce: 0.1561, aux.acc_seg: 69.6404, loss: 0.4900 2022-06-18 15:27:09,069 - mmseg - INFO - Iter [92200/160000] lr: 2.610e-05, eta: 4:28:22, time: 0.276, data_time: 0.048, memory: 36048, decode.loss_ce: 0.3331, decode.acc_seg: 70.1765, aux.loss_ce: 0.1555, aux.acc_seg: 68.7715, loss: 0.4886 2022-06-18 15:27:20,874 - mmseg - INFO - Iter [92250/160000] lr: 2.608e-05, eta: 4:28:11, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3479, decode.acc_seg: 69.3795, aux.loss_ce: 0.1617, aux.acc_seg: 67.9446, loss: 0.5097 2022-06-18 15:27:32,606 - mmseg - INFO - Iter [92300/160000] lr: 2.607e-05, eta: 4:27:59, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3593, decode.acc_seg: 69.0467, aux.loss_ce: 0.1669, aux.acc_seg: 67.5684, loss: 0.5261 2022-06-18 15:27:44,587 - mmseg - INFO - Iter [92350/160000] lr: 2.605e-05, eta: 4:27:47, time: 0.240, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3228, decode.acc_seg: 71.0981, aux.loss_ce: 0.1518, aux.acc_seg: 69.6820, loss: 0.4745 2022-06-18 15:27:56,224 - mmseg - INFO - Iter [92400/160000] lr: 2.603e-05, eta: 4:27:35, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3409, decode.acc_seg: 69.8246, aux.loss_ce: 0.1568, aux.acc_seg: 68.4904, loss: 0.4977 2022-06-18 15:28:07,953 - mmseg - INFO - Iter [92450/160000] lr: 2.601e-05, eta: 4:27:23, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3207, decode.acc_seg: 70.9243, aux.loss_ce: 0.1529, aux.acc_seg: 69.4610, loss: 0.4736 2022-06-18 15:28:19,561 - mmseg - INFO - Iter [92500/160000] lr: 2.599e-05, eta: 4:27:11, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3313, decode.acc_seg: 70.6198, aux.loss_ce: 0.1537, aux.acc_seg: 69.2856, loss: 0.4850 2022-06-18 15:28:31,322 - mmseg - INFO - Iter [92550/160000] lr: 2.597e-05, eta: 4:26:59, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3372, decode.acc_seg: 70.6910, aux.loss_ce: 0.1564, aux.acc_seg: 69.3696, loss: 0.4936 2022-06-18 15:28:42,884 - mmseg - INFO - Iter [92600/160000] lr: 2.595e-05, eta: 4:26:47, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3345, decode.acc_seg: 71.1345, aux.loss_ce: 0.1547, aux.acc_seg: 69.9540, loss: 0.4892 2022-06-18 15:28:54,508 - mmseg - INFO - Iter [92650/160000] lr: 2.593e-05, eta: 4:26:35, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3258, decode.acc_seg: 70.6511, aux.loss_ce: 0.1499, aux.acc_seg: 69.5447, loss: 0.4756 2022-06-18 15:29:06,272 - mmseg - INFO - Iter [92700/160000] lr: 2.591e-05, eta: 4:26:23, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3427, decode.acc_seg: 69.4989, aux.loss_ce: 0.1581, aux.acc_seg: 68.3318, loss: 0.5008 2022-06-18 15:29:18,002 - mmseg - INFO - Iter [92750/160000] lr: 2.589e-05, eta: 4:26:11, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3139, decode.acc_seg: 69.2631, aux.loss_ce: 0.1454, aux.acc_seg: 68.0351, loss: 0.4593 2022-06-18 15:29:29,830 - mmseg - INFO - Iter [92800/160000] lr: 2.587e-05, eta: 4:25:59, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3177, decode.acc_seg: 71.5778, aux.loss_ce: 0.1496, aux.acc_seg: 70.1091, loss: 0.4673 2022-06-18 15:29:41,778 - mmseg - INFO - Iter [92850/160000] lr: 2.585e-05, eta: 4:25:47, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3231, decode.acc_seg: 68.3877, aux.loss_ce: 0.1513, aux.acc_seg: 67.0495, loss: 0.4744 2022-06-18 15:29:53,383 - mmseg - INFO - Iter [92900/160000] lr: 2.583e-05, eta: 4:25:35, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3363, decode.acc_seg: 70.9115, aux.loss_ce: 0.1576, aux.acc_seg: 69.7105, loss: 0.4939 2022-06-18 15:30:05,391 - mmseg - INFO - Iter [92950/160000] lr: 2.582e-05, eta: 4:25:23, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3205, decode.acc_seg: 69.7246, aux.loss_ce: 0.1488, aux.acc_seg: 68.4842, loss: 0.4693 2022-06-18 15:30:17,239 - mmseg - INFO - Saving checkpoint at 93000 iterations 2022-06-18 15:30:17,941 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 15:30:17,941 - mmseg - INFO - Iter [93000/160000] lr: 2.580e-05, eta: 4:25:12, time: 0.251, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3265, decode.acc_seg: 70.2134, aux.loss_ce: 0.1544, aux.acc_seg: 68.8667, loss: 0.4810 2022-06-18 15:30:29,456 - mmseg - INFO - Iter [93050/160000] lr: 2.578e-05, eta: 4:25:00, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3402, decode.acc_seg: 69.9904, aux.loss_ce: 0.1583, aux.acc_seg: 68.7083, loss: 0.4985 2022-06-18 15:30:41,203 - mmseg - INFO - Iter [93100/160000] lr: 2.576e-05, eta: 4:24:48, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3566, decode.acc_seg: 70.3448, aux.loss_ce: 0.1646, aux.acc_seg: 69.0599, loss: 0.5212 2022-06-18 15:30:53,188 - mmseg - INFO - Iter [93150/160000] lr: 2.574e-05, eta: 4:24:36, time: 0.240, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3483, decode.acc_seg: 70.7460, aux.loss_ce: 0.1605, aux.acc_seg: 69.3393, loss: 0.5088 2022-06-18 15:31:04,854 - mmseg - INFO - Iter [93200/160000] lr: 2.572e-05, eta: 4:24:24, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3287, decode.acc_seg: 70.1276, aux.loss_ce: 0.1514, aux.acc_seg: 68.9826, loss: 0.4801 2022-06-18 15:31:16,355 - mmseg - INFO - Iter [93250/160000] lr: 2.570e-05, eta: 4:24:12, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3409, decode.acc_seg: 70.2547, aux.loss_ce: 0.1575, aux.acc_seg: 68.9003, loss: 0.4984 2022-06-18 15:31:28,168 - mmseg - INFO - Iter [93300/160000] lr: 2.568e-05, eta: 4:24:00, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3262, decode.acc_seg: 70.7637, aux.loss_ce: 0.1513, aux.acc_seg: 69.4412, loss: 0.4776 2022-06-18 15:31:40,194 - mmseg - INFO - Iter [93350/160000] lr: 2.566e-05, eta: 4:23:48, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3263, decode.acc_seg: 70.3518, aux.loss_ce: 0.1514, aux.acc_seg: 69.1554, loss: 0.4776 2022-06-18 15:31:51,963 - mmseg - INFO - Iter [93400/160000] lr: 2.564e-05, eta: 4:23:36, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3350, decode.acc_seg: 70.7327, aux.loss_ce: 0.1564, aux.acc_seg: 69.2374, loss: 0.4914 2022-06-18 15:32:03,650 - mmseg - INFO - Iter [93450/160000] lr: 2.562e-05, eta: 4:23:24, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3382, decode.acc_seg: 70.1838, aux.loss_ce: 0.1566, aux.acc_seg: 68.9430, loss: 0.4948 2022-06-18 15:32:17,664 - mmseg - INFO - Iter [93500/160000] lr: 2.560e-05, eta: 4:23:14, time: 0.280, data_time: 0.047, memory: 36048, decode.loss_ce: 0.3590, decode.acc_seg: 69.3856, aux.loss_ce: 0.1663, aux.acc_seg: 68.0923, loss: 0.5253 2022-06-18 15:32:29,201 - mmseg - INFO - Iter [93550/160000] lr: 2.558e-05, eta: 4:23:02, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3296, decode.acc_seg: 70.0978, aux.loss_ce: 0.1528, aux.acc_seg: 68.8890, loss: 0.4823 2022-06-18 15:32:41,160 - mmseg - INFO - Iter [93600/160000] lr: 2.556e-05, eta: 4:22:50, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3237, decode.acc_seg: 71.4718, aux.loss_ce: 0.1496, aux.acc_seg: 70.2932, loss: 0.4733 2022-06-18 15:32:53,138 - mmseg - INFO - Iter [93650/160000] lr: 2.555e-05, eta: 4:22:38, time: 0.240, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3269, decode.acc_seg: 69.6784, aux.loss_ce: 0.1506, aux.acc_seg: 68.4894, loss: 0.4775 2022-06-18 15:33:05,053 - mmseg - INFO - Iter [93700/160000] lr: 2.553e-05, eta: 4:22:26, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3163, decode.acc_seg: 71.8201, aux.loss_ce: 0.1458, aux.acc_seg: 70.5770, loss: 0.4622 2022-06-18 15:33:16,519 - mmseg - INFO - Iter [93750/160000] lr: 2.551e-05, eta: 4:22:14, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3565, decode.acc_seg: 68.8728, aux.loss_ce: 0.1664, aux.acc_seg: 67.4896, loss: 0.5229 2022-06-18 15:33:28,172 - mmseg - INFO - Iter [93800/160000] lr: 2.549e-05, eta: 4:22:02, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3219, decode.acc_seg: 69.5463, aux.loss_ce: 0.1491, aux.acc_seg: 68.2810, loss: 0.4710 2022-06-18 15:33:39,872 - mmseg - INFO - Iter [93850/160000] lr: 2.547e-05, eta: 4:21:50, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3368, decode.acc_seg: 70.4379, aux.loss_ce: 0.1542, aux.acc_seg: 69.3085, loss: 0.4910 2022-06-18 15:33:51,461 - mmseg - INFO - Iter [93900/160000] lr: 2.545e-05, eta: 4:21:38, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3297, decode.acc_seg: 69.6412, aux.loss_ce: 0.1540, aux.acc_seg: 68.2221, loss: 0.4837 2022-06-18 15:34:03,071 - mmseg - INFO - Iter [93950/160000] lr: 2.543e-05, eta: 4:21:26, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3239, decode.acc_seg: 69.9695, aux.loss_ce: 0.1513, aux.acc_seg: 68.5047, loss: 0.4752 2022-06-18 15:34:14,716 - mmseg - INFO - Saving checkpoint at 94000 iterations 2022-06-18 15:34:15,411 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 15:34:15,411 - mmseg - INFO - Iter [94000/160000] lr: 2.541e-05, eta: 4:21:14, time: 0.247, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3313, decode.acc_seg: 69.7818, aux.loss_ce: 0.1551, aux.acc_seg: 68.4666, loss: 0.4864 2022-06-18 15:34:27,036 - mmseg - INFO - Iter [94050/160000] lr: 2.539e-05, eta: 4:21:02, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3467, decode.acc_seg: 69.6179, aux.loss_ce: 0.1584, aux.acc_seg: 68.2649, loss: 0.5050 2022-06-18 15:34:38,585 - mmseg - INFO - Iter [94100/160000] lr: 2.537e-05, eta: 4:20:50, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3624, decode.acc_seg: 68.9238, aux.loss_ce: 0.1674, aux.acc_seg: 67.5487, loss: 0.5298 2022-06-18 15:34:50,487 - mmseg - INFO - Iter [94150/160000] lr: 2.535e-05, eta: 4:20:38, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3358, decode.acc_seg: 70.9369, aux.loss_ce: 0.1559, aux.acc_seg: 69.7415, loss: 0.4918 2022-06-18 15:35:02,159 - mmseg - INFO - Iter [94200/160000] lr: 2.533e-05, eta: 4:20:26, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3312, decode.acc_seg: 69.4584, aux.loss_ce: 0.1564, aux.acc_seg: 67.9613, loss: 0.4875 2022-06-18 15:35:14,056 - mmseg - INFO - Iter [94250/160000] lr: 2.531e-05, eta: 4:20:14, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3293, decode.acc_seg: 69.8353, aux.loss_ce: 0.1519, aux.acc_seg: 68.7663, loss: 0.4811 2022-06-18 15:35:25,752 - mmseg - INFO - Iter [94300/160000] lr: 2.530e-05, eta: 4:20:02, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3479, decode.acc_seg: 70.7396, aux.loss_ce: 0.1642, aux.acc_seg: 69.2941, loss: 0.5121 2022-06-18 15:35:37,362 - mmseg - INFO - Iter [94350/160000] lr: 2.528e-05, eta: 4:19:50, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3531, decode.acc_seg: 70.3812, aux.loss_ce: 0.1641, aux.acc_seg: 69.0622, loss: 0.5172 2022-06-18 15:35:48,859 - mmseg - INFO - Iter [94400/160000] lr: 2.526e-05, eta: 4:19:38, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3651, decode.acc_seg: 70.7199, aux.loss_ce: 0.1684, aux.acc_seg: 69.3058, loss: 0.5335 2022-06-18 15:36:00,568 - mmseg - INFO - Iter [94450/160000] lr: 2.524e-05, eta: 4:19:26, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3354, decode.acc_seg: 70.0339, aux.loss_ce: 0.1573, aux.acc_seg: 68.6974, loss: 0.4927 2022-06-18 15:36:12,172 - mmseg - INFO - Iter [94500/160000] lr: 2.522e-05, eta: 4:19:14, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3163, decode.acc_seg: 69.8952, aux.loss_ce: 0.1476, aux.acc_seg: 68.5673, loss: 0.4639 2022-06-18 15:36:23,612 - mmseg - INFO - Iter [94550/160000] lr: 2.520e-05, eta: 4:19:02, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3137, decode.acc_seg: 70.4422, aux.loss_ce: 0.1459, aux.acc_seg: 69.1333, loss: 0.4596 2022-06-18 15:36:35,247 - mmseg - INFO - Iter [94600/160000] lr: 2.518e-05, eta: 4:18:50, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3201, decode.acc_seg: 70.3498, aux.loss_ce: 0.1493, aux.acc_seg: 68.9521, loss: 0.4694 2022-06-18 15:36:46,916 - mmseg - INFO - Iter [94650/160000] lr: 2.516e-05, eta: 4:18:38, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3358, decode.acc_seg: 69.4355, aux.loss_ce: 0.1564, aux.acc_seg: 68.0873, loss: 0.4922 2022-06-18 15:36:58,593 - mmseg - INFO - Iter [94700/160000] lr: 2.514e-05, eta: 4:18:26, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3480, decode.acc_seg: 69.6601, aux.loss_ce: 0.1624, aux.acc_seg: 68.2025, loss: 0.5104 2022-06-18 15:37:12,584 - mmseg - INFO - Iter [94750/160000] lr: 2.512e-05, eta: 4:18:15, time: 0.280, data_time: 0.050, memory: 36048, decode.loss_ce: 0.3352, decode.acc_seg: 70.8704, aux.loss_ce: 0.1582, aux.acc_seg: 69.3483, loss: 0.4934 2022-06-18 15:37:24,370 - mmseg - INFO - Iter [94800/160000] lr: 2.510e-05, eta: 4:18:03, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3402, decode.acc_seg: 69.6362, aux.loss_ce: 0.1573, aux.acc_seg: 68.2246, loss: 0.4975 2022-06-18 15:37:36,018 - mmseg - INFO - Iter [94850/160000] lr: 2.508e-05, eta: 4:17:51, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3295, decode.acc_seg: 69.3234, aux.loss_ce: 0.1559, aux.acc_seg: 67.7794, loss: 0.4854 2022-06-18 15:37:47,681 - mmseg - INFO - Iter [94900/160000] lr: 2.506e-05, eta: 4:17:39, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3285, decode.acc_seg: 71.9255, aux.loss_ce: 0.1501, aux.acc_seg: 70.7534, loss: 0.4786 2022-06-18 15:37:59,578 - mmseg - INFO - Iter [94950/160000] lr: 2.505e-05, eta: 4:17:28, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3329, decode.acc_seg: 69.9379, aux.loss_ce: 0.1534, aux.acc_seg: 68.5706, loss: 0.4863 2022-06-18 15:38:11,030 - mmseg - INFO - Saving checkpoint at 95000 iterations 2022-06-18 15:38:11,747 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 15:38:11,748 - mmseg - INFO - Iter [95000/160000] lr: 2.503e-05, eta: 4:17:16, time: 0.243, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3361, decode.acc_seg: 68.6602, aux.loss_ce: 0.1587, aux.acc_seg: 67.0679, loss: 0.4948 2022-06-18 15:38:23,475 - mmseg - INFO - Iter [95050/160000] lr: 2.501e-05, eta: 4:17:04, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3319, decode.acc_seg: 70.7921, aux.loss_ce: 0.1559, aux.acc_seg: 69.4082, loss: 0.4878 2022-06-18 15:38:35,112 - mmseg - INFO - Iter [95100/160000] lr: 2.499e-05, eta: 4:16:52, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3054, decode.acc_seg: 69.9660, aux.loss_ce: 0.1434, aux.acc_seg: 68.7390, loss: 0.4488 2022-06-18 15:38:46,706 - mmseg - INFO - Iter [95150/160000] lr: 2.497e-05, eta: 4:16:40, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3394, decode.acc_seg: 70.0004, aux.loss_ce: 0.1591, aux.acc_seg: 68.6179, loss: 0.4985 2022-06-18 15:38:58,550 - mmseg - INFO - Iter [95200/160000] lr: 2.495e-05, eta: 4:16:28, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3290, decode.acc_seg: 69.8623, aux.loss_ce: 0.1518, aux.acc_seg: 68.5992, loss: 0.4808 2022-06-18 15:39:10,133 - mmseg - INFO - Iter [95250/160000] lr: 2.493e-05, eta: 4:16:16, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3315, decode.acc_seg: 71.0179, aux.loss_ce: 0.1553, aux.acc_seg: 69.6199, loss: 0.4868 2022-06-18 15:39:21,733 - mmseg - INFO - Iter [95300/160000] lr: 2.491e-05, eta: 4:16:04, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3037, decode.acc_seg: 69.7826, aux.loss_ce: 0.1448, aux.acc_seg: 68.3053, loss: 0.4485 2022-06-18 15:39:33,408 - mmseg - INFO - Iter [95350/160000] lr: 2.489e-05, eta: 4:15:52, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3294, decode.acc_seg: 71.4998, aux.loss_ce: 0.1550, aux.acc_seg: 70.1870, loss: 0.4844 2022-06-18 15:39:45,080 - mmseg - INFO - Iter [95400/160000] lr: 2.487e-05, eta: 4:15:40, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3412, decode.acc_seg: 69.1381, aux.loss_ce: 0.1598, aux.acc_seg: 67.7210, loss: 0.5010 2022-06-18 15:39:56,908 - mmseg - INFO - Iter [95450/160000] lr: 2.485e-05, eta: 4:15:28, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3366, decode.acc_seg: 69.5113, aux.loss_ce: 0.1562, aux.acc_seg: 68.2158, loss: 0.4929 2022-06-18 15:40:08,867 - mmseg - INFO - Iter [95500/160000] lr: 2.483e-05, eta: 4:15:16, time: 0.240, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3153, decode.acc_seg: 70.2707, aux.loss_ce: 0.1483, aux.acc_seg: 68.9189, loss: 0.4636 2022-06-18 15:40:20,651 - mmseg - INFO - Iter [95550/160000] lr: 2.481e-05, eta: 4:15:04, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3205, decode.acc_seg: 71.3106, aux.loss_ce: 0.1507, aux.acc_seg: 69.9978, loss: 0.4712 2022-06-18 15:40:32,225 - mmseg - INFO - Iter [95600/160000] lr: 2.479e-05, eta: 4:14:52, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3048, decode.acc_seg: 72.6335, aux.loss_ce: 0.1435, aux.acc_seg: 71.2972, loss: 0.4483 2022-06-18 15:40:43,785 - mmseg - INFO - Iter [95650/160000] lr: 2.478e-05, eta: 4:14:40, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3188, decode.acc_seg: 71.5917, aux.loss_ce: 0.1502, aux.acc_seg: 70.3121, loss: 0.4690 2022-06-18 15:40:55,412 - mmseg - INFO - Iter [95700/160000] lr: 2.476e-05, eta: 4:14:28, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3383, decode.acc_seg: 69.5086, aux.loss_ce: 0.1568, aux.acc_seg: 68.2326, loss: 0.4952 2022-06-18 15:41:07,361 - mmseg - INFO - Iter [95750/160000] lr: 2.474e-05, eta: 4:14:16, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3261, decode.acc_seg: 70.7979, aux.loss_ce: 0.1509, aux.acc_seg: 69.5340, loss: 0.4770 2022-06-18 15:41:19,085 - mmseg - INFO - Iter [95800/160000] lr: 2.472e-05, eta: 4:14:04, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3315, decode.acc_seg: 70.1049, aux.loss_ce: 0.1552, aux.acc_seg: 68.7365, loss: 0.4868 2022-06-18 15:41:30,733 - mmseg - INFO - Iter [95850/160000] lr: 2.470e-05, eta: 4:13:52, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3274, decode.acc_seg: 71.9305, aux.loss_ce: 0.1522, aux.acc_seg: 70.5548, loss: 0.4795 2022-06-18 15:41:42,105 - mmseg - INFO - Iter [95900/160000] lr: 2.468e-05, eta: 4:13:40, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3386, decode.acc_seg: 69.8061, aux.loss_ce: 0.1582, aux.acc_seg: 68.4271, loss: 0.4968 2022-06-18 15:41:53,861 - mmseg - INFO - Iter [95950/160000] lr: 2.466e-05, eta: 4:13:28, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3360, decode.acc_seg: 71.1177, aux.loss_ce: 0.1553, aux.acc_seg: 69.6790, loss: 0.4913 2022-06-18 15:42:07,673 - mmseg - INFO - Saving checkpoint at 96000 iterations 2022-06-18 15:42:08,430 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 15:42:08,430 - mmseg - INFO - Iter [96000/160000] lr: 2.464e-05, eta: 4:13:18, time: 0.292, data_time: 0.050, memory: 36048, decode.loss_ce: 0.3202, decode.acc_seg: 69.7819, aux.loss_ce: 0.1533, aux.acc_seg: 68.3225, loss: 0.4735 2022-06-18 15:42:26,754 - mmseg - INFO - per class results: 2022-06-18 15:42:26,760 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 73.68 | 86.15 | | building | 79.98 | 91.19 | | sky | 93.93 | 96.92 | | floor | 78.45 | 86.97 | | tree | 72.24 | 85.4 | | ceiling | 81.4 | 91.46 | | road | 79.26 | 90.73 | | bed | 82.11 | 93.76 | | windowpane | 55.79 | 72.12 | | grass | 64.4 | 78.13 | | cabinet | 54.8 | 69.46 | | sidewalk | 53.12 | 66.91 | | person | 75.29 | 90.07 | | earth | 32.15 | 44.75 | | door | 39.39 | 52.22 | | table | 49.82 | 69.9 | | mountain | 50.0 | 62.8 | | plant | 47.58 | 67.07 | | curtain | 67.3 | 83.73 | | chair | 46.07 | 59.87 | | car | 78.14 | 90.46 | | water | 47.28 | 58.25 | | painting | 64.6 | 82.07 | | sofa | 56.76 | 75.4 | | shelf | 35.49 | 60.14 | | house | 40.71 | 52.73 | | sea | 48.47 | 82.71 | | mirror | 56.77 | 68.85 | | rug | 59.56 | 69.56 | | field | 31.1 | 52.01 | | armchair | 33.75 | 52.03 | | seat | 54.36 | 71.85 | | fence | 37.99 | 57.92 | | desk | 41.28 | 58.11 | | rock | 36.4 | 58.52 | | wardrobe | 53.46 | 70.61 | | lamp | 50.8 | 64.32 | | bathtub | 65.91 | 76.66 | | railing | 29.15 | 43.94 | | cushion | 46.77 | 59.68 | | base | 24.39 | 39.14 | | box | 15.64 | 19.0 | | column | 38.4 | 45.66 | | signboard | 33.16 | 43.83 | | chest of drawers | 39.73 | 54.37 | | counter | 20.03 | 22.54 | | sand | 31.76 | 54.25 | | sink | 59.63 | 76.35 | | skyscraper | 52.93 | 73.02 | | fireplace | 66.8 | 83.98 | | refrigerator | 64.32 | 74.87 | | grandstand | 37.84 | 66.88 | | path | 21.88 | 29.63 | | stairs | 20.9 | 24.46 | | runway | 74.46 | 95.84 | | case | 33.85 | 49.22 | | pool table | 91.89 | 96.03 | | pillow | 51.34 | 61.69 | | screen door | 55.15 | 75.59 | | stairway | 29.84 | 41.03 | | river | 19.2 | 38.02 | | bridge | 43.71 | 61.87 | | bookcase | 42.25 | 63.5 | | blind | 35.34 | 42.22 | | coffee table | 49.26 | 75.47 | | toilet | 77.87 | 85.79 | | flower | 35.92 | 45.36 | | book | 44.64 | 66.93 | | hill | 8.31 | 15.68 | | bench | 32.51 | 40.44 | | countertop | 47.95 | 60.36 | | stove | 63.03 | 70.93 | | palm | 37.19 | 57.36 | | kitchen island | 23.57 | 44.68 | | computer | 52.48 | 64.99 | | swivel chair | 36.88 | 56.97 | | boat | 27.66 | 39.29 | | bar | 28.32 | 39.49 | | arcade machine | 19.28 | 20.71 | | hovel | 32.46 | 39.29 | | bus | 78.45 | 87.09 | | towel | 43.81 | 62.13 | | light | 41.3 | 44.18 | | truck | 9.13 | 16.52 | | tower | 32.05 | 51.29 | | chandelier | 58.58 | 76.14 | | awning | 22.37 | 27.6 | | streetlight | 15.13 | 17.72 | | booth | 51.0 | 56.75 | | television receiver | 51.52 | 71.86 | | airplane | 51.21 | 67.31 | | dirt track | 2.63 | 12.68 | | apparel | 26.51 | 38.71 | | pole | 14.94 | 20.47 | | land | 3.25 | 4.71 | | bannister | 7.71 | 12.43 | | escalator | 20.9 | 26.16 | | ottoman | 36.62 | 48.71 | | bottle | 29.4 | 41.17 | | buffet | 41.2 | 52.67 | | poster | 20.79 | 23.55 | | stage | 13.95 | 27.68 | | van | 25.69 | 29.35 | | ship | 56.86 | 94.24 | | fountain | 7.94 | 10.44 | | conveyer belt | 65.86 | 84.12 | | canopy | 32.72 | 47.14 | | washer | 70.52 | 71.74 | | plaything | 16.06 | 23.22 | | swimming pool | 54.53 | 79.63 | | stool | 25.37 | 31.48 | | barrel | 32.77 | 41.21 | | basket | 21.13 | 25.11 | | waterfall | 61.04 | 67.59 | | tent | 81.15 | 99.01 | | bag | 3.12 | 3.5 | | minibike | 54.24 | 67.23 | | cradle | 72.59 | 87.6 | | oven | 21.78 | 28.3 | | ball | 37.15 | 41.25 | | food | 45.97 | 58.67 | | step | 1.64 | 1.96 | | tank | 36.08 | 39.97 | | trade name | 13.27 | 13.85 | | microwave | 34.26 | 37.71 | | pot | 37.17 | 45.16 | | animal | 53.17 | 60.03 | | bicycle | 42.04 | 58.74 | | lake | 61.31 | 63.65 | | dishwasher | 48.03 | 67.34 | | screen | 72.85 | 83.56 | | blanket | 10.49 | 12.85 | | sculpture | 32.74 | 49.57 | | hood | 48.05 | 60.59 | | sconce | 31.88 | 39.3 | | vase | 25.43 | 38.31 | | traffic light | 15.15 | 27.68 | | tray | 2.2 | 3.46 | | ashcan | 28.19 | 37.18 | | fan | 45.57 | 63.37 | | pier | 27.75 | 40.79 | | crt screen | 10.22 | 12.69 | | plate | 43.58 | 53.74 | | monitor | 46.74 | 61.82 | | bulletin board | 32.92 | 36.83 | | shower | 0.0 | 0.0 | | radiator | 50.06 | 63.51 | | glass | 2.25 | 2.57 | | clock | 15.15 | 17.51 | | flag | 29.17 | 31.12 | +---------------------+-------+-------+ 2022-06-18 15:42:26,760 - mmseg - INFO - Summary: 2022-06-18 15:42:26,761 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 79.73 | 41.49 | 53.37 | +-------+-------+-------+ 2022-06-18 15:42:26,806 - mmseg - INFO - The previous best checkpoint /home/chenzhe/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_deit_adapter_tiny_512_160_ade20k_try2/best_mIoU_iter_80000.pth was removed 2022-06-18 15:42:27,438 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_96000.pth. 2022-06-18 15:42:27,438 - mmseg - INFO - Best mIoU is 0.4149 at 96000 iter. 2022-06-18 15:42:27,447 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 15:42:27,447 - mmseg - INFO - Iter(val) [250] aAcc: 0.7973, mIoU: 0.4149, mAcc: 0.5337, IoU.wall: 0.7368, IoU.building: 0.7998, IoU.sky: 0.9393, IoU.floor: 0.7845, IoU.tree: 0.7224, IoU.ceiling: 0.8140, IoU.road: 0.7926, IoU.bed : 0.8211, IoU.windowpane: 0.5579, IoU.grass: 0.6440, IoU.cabinet: 0.5480, IoU.sidewalk: 0.5312, IoU.person: 0.7529, IoU.earth: 0.3215, IoU.door: 0.3939, IoU.table: 0.4982, IoU.mountain: 0.5000, IoU.plant: 0.4758, IoU.curtain: 0.6730, IoU.chair: 0.4607, IoU.car: 0.7814, IoU.water: 0.4728, IoU.painting: 0.6460, IoU.sofa: 0.5676, IoU.shelf: 0.3549, IoU.house: 0.4071, IoU.sea: 0.4847, IoU.mirror: 0.5677, IoU.rug: 0.5956, IoU.field: 0.3110, IoU.armchair: 0.3375, IoU.seat: 0.5436, IoU.fence: 0.3799, IoU.desk: 0.4128, IoU.rock: 0.3640, IoU.wardrobe: 0.5346, IoU.lamp: 0.5080, IoU.bathtub: 0.6591, IoU.railing: 0.2915, IoU.cushion: 0.4677, IoU.base: 0.2439, IoU.box: 0.1564, IoU.column: 0.3840, IoU.signboard: 0.3316, IoU.chest of drawers: 0.3973, IoU.counter: 0.2003, IoU.sand: 0.3176, IoU.sink: 0.5963, IoU.skyscraper: 0.5293, IoU.fireplace: 0.6680, IoU.refrigerator: 0.6432, IoU.grandstand: 0.3784, IoU.path: 0.2188, IoU.stairs: 0.2090, IoU.runway: 0.7446, IoU.case: 0.3385, IoU.pool table: 0.9189, IoU.pillow: 0.5134, IoU.screen door: 0.5515, IoU.stairway: 0.2984, IoU.river: 0.1920, IoU.bridge: 0.4371, IoU.bookcase: 0.4225, IoU.blind: 0.3534, IoU.coffee table: 0.4926, IoU.toilet: 0.7787, IoU.flower: 0.3592, IoU.book: 0.4464, IoU.hill: 0.0831, IoU.bench: 0.3251, IoU.countertop: 0.4795, IoU.stove: 0.6303, IoU.palm: 0.3719, IoU.kitchen island: 0.2357, IoU.computer: 0.5248, IoU.swivel chair: 0.3688, IoU.boat: 0.2766, IoU.bar: 0.2832, IoU.arcade machine: 0.1928, IoU.hovel: 0.3246, IoU.bus: 0.7845, IoU.towel: 0.4381, IoU.light: 0.4130, IoU.truck: 0.0913, IoU.tower: 0.3205, IoU.chandelier: 0.5858, IoU.awning: 0.2237, IoU.streetlight: 0.1513, IoU.booth: 0.5100, IoU.television receiver: 0.5152, IoU.airplane: 0.5121, IoU.dirt track: 0.0263, IoU.apparel: 0.2651, IoU.pole: 0.1494, IoU.land: 0.0325, IoU.bannister: 0.0771, IoU.escalator: 0.2090, IoU.ottoman: 0.3662, IoU.bottle: 0.2940, IoU.buffet: 0.4120, IoU.poster: 0.2079, IoU.stage: 0.1395, IoU.van: 0.2569, IoU.ship: 0.5686, IoU.fountain: 0.0794, IoU.conveyer belt: 0.6586, IoU.canopy: 0.3272, IoU.washer: 0.7052, IoU.plaything: 0.1606, IoU.swimming pool: 0.5453, IoU.stool: 0.2537, IoU.barrel: 0.3277, IoU.basket: 0.2113, IoU.waterfall: 0.6104, IoU.tent: 0.8115, IoU.bag: 0.0312, IoU.minibike: 0.5424, IoU.cradle: 0.7259, IoU.oven: 0.2178, IoU.ball: 0.3715, IoU.food: 0.4597, IoU.step: 0.0164, IoU.tank: 0.3608, IoU.trade name: 0.1327, IoU.microwave: 0.3426, IoU.pot: 0.3717, IoU.animal: 0.5317, IoU.bicycle: 0.4204, IoU.lake: 0.6131, IoU.dishwasher: 0.4803, IoU.screen: 0.7285, IoU.blanket: 0.1049, IoU.sculpture: 0.3274, IoU.hood: 0.4805, IoU.sconce: 0.3188, IoU.vase: 0.2543, IoU.traffic light: 0.1515, IoU.tray: 0.0220, IoU.ashcan: 0.2819, IoU.fan: 0.4557, IoU.pier: 0.2775, IoU.crt screen: 0.1022, IoU.plate: 0.4358, IoU.monitor: 0.4674, IoU.bulletin board: 0.3292, IoU.shower: 0.0000, IoU.radiator: 0.5006, IoU.glass: 0.0225, IoU.clock: 0.1515, IoU.flag: 0.2917, Acc.wall: 0.8615, Acc.building: 0.9119, Acc.sky: 0.9692, Acc.floor: 0.8697, Acc.tree: 0.8540, Acc.ceiling: 0.9146, Acc.road: 0.9073, Acc.bed : 0.9376, Acc.windowpane: 0.7212, Acc.grass: 0.7813, Acc.cabinet: 0.6946, Acc.sidewalk: 0.6691, Acc.person: 0.9007, Acc.earth: 0.4475, Acc.door: 0.5222, Acc.table: 0.6990, Acc.mountain: 0.6280, Acc.plant: 0.6707, Acc.curtain: 0.8373, Acc.chair: 0.5987, Acc.car: 0.9046, Acc.water: 0.5825, Acc.painting: 0.8207, Acc.sofa: 0.7540, Acc.shelf: 0.6014, Acc.house: 0.5273, Acc.sea: 0.8271, Acc.mirror: 0.6885, Acc.rug: 0.6956, Acc.field: 0.5201, Acc.armchair: 0.5203, Acc.seat: 0.7185, Acc.fence: 0.5792, Acc.desk: 0.5811, Acc.rock: 0.5852, Acc.wardrobe: 0.7061, Acc.lamp: 0.6432, Acc.bathtub: 0.7666, Acc.railing: 0.4394, Acc.cushion: 0.5968, Acc.base: 0.3914, Acc.box: 0.1900, Acc.column: 0.4566, Acc.signboard: 0.4383, Acc.chest of drawers: 0.5437, Acc.counter: 0.2254, Acc.sand: 0.5425, Acc.sink: 0.7635, Acc.skyscraper: 0.7302, Acc.fireplace: 0.8398, Acc.refrigerator: 0.7487, Acc.grandstand: 0.6688, Acc.path: 0.2963, Acc.stairs: 0.2446, Acc.runway: 0.9584, Acc.case: 0.4922, Acc.pool table: 0.9603, Acc.pillow: 0.6169, Acc.screen door: 0.7559, Acc.stairway: 0.4103, Acc.river: 0.3802, Acc.bridge: 0.6187, Acc.bookcase: 0.6350, Acc.blind: 0.4222, Acc.coffee table: 0.7547, Acc.toilet: 0.8579, Acc.flower: 0.4536, Acc.book: 0.6693, Acc.hill: 0.1568, Acc.bench: 0.4044, Acc.countertop: 0.6036, Acc.stove: 0.7093, Acc.palm: 0.5736, Acc.kitchen island: 0.4468, Acc.computer: 0.6499, Acc.swivel chair: 0.5697, Acc.boat: 0.3929, Acc.bar: 0.3949, Acc.arcade machine: 0.2071, Acc.hovel: 0.3929, Acc.bus: 0.8709, Acc.towel: 0.6213, Acc.light: 0.4418, Acc.truck: 0.1652, Acc.tower: 0.5129, Acc.chandelier: 0.7614, Acc.awning: 0.2760, Acc.streetlight: 0.1772, Acc.booth: 0.5675, Acc.television receiver: 0.7186, Acc.airplane: 0.6731, Acc.dirt track: 0.1268, Acc.apparel: 0.3871, Acc.pole: 0.2047, Acc.land: 0.0471, Acc.bannister: 0.1243, Acc.escalator: 0.2616, Acc.ottoman: 0.4871, Acc.bottle: 0.4117, Acc.buffet: 0.5267, Acc.poster: 0.2355, Acc.stage: 0.2768, Acc.van: 0.2935, Acc.ship: 0.9424, Acc.fountain: 0.1044, Acc.conveyer belt: 0.8412, Acc.canopy: 0.4714, Acc.washer: 0.7174, Acc.plaything: 0.2322, Acc.swimming pool: 0.7963, Acc.stool: 0.3148, Acc.barrel: 0.4121, Acc.basket: 0.2511, Acc.waterfall: 0.6759, Acc.tent: 0.9901, Acc.bag: 0.0350, Acc.minibike: 0.6723, Acc.cradle: 0.8760, Acc.oven: 0.2830, Acc.ball: 0.4125, Acc.food: 0.5867, Acc.step: 0.0196, Acc.tank: 0.3997, Acc.trade name: 0.1385, Acc.microwave: 0.3771, Acc.pot: 0.4516, Acc.animal: 0.6003, Acc.bicycle: 0.5874, Acc.lake: 0.6365, Acc.dishwasher: 0.6734, Acc.screen: 0.8356, Acc.blanket: 0.1285, Acc.sculpture: 0.4957, Acc.hood: 0.6059, Acc.sconce: 0.3930, Acc.vase: 0.3831, Acc.traffic light: 0.2768, Acc.tray: 0.0346, Acc.ashcan: 0.3718, Acc.fan: 0.6337, Acc.pier: 0.4079, Acc.crt screen: 0.1269, Acc.plate: 0.5374, Acc.monitor: 0.6182, Acc.bulletin board: 0.3683, Acc.shower: 0.0000, Acc.radiator: 0.6351, Acc.glass: 0.0257, Acc.clock: 0.1751, Acc.flag: 0.3112 2022-06-18 15:42:38,915 - mmseg - INFO - Iter [96050/160000] lr: 2.462e-05, eta: 4:13:18, time: 0.610, data_time: 0.383, memory: 36048, decode.loss_ce: 0.3212, decode.acc_seg: 71.1310, aux.loss_ce: 0.1502, aux.acc_seg: 69.8056, loss: 0.4714 2022-06-18 15:42:50,402 - mmseg - INFO - Iter [96100/160000] lr: 2.460e-05, eta: 4:13:06, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3227, decode.acc_seg: 69.9564, aux.loss_ce: 0.1518, aux.acc_seg: 68.7543, loss: 0.4745 2022-06-18 15:43:02,224 - mmseg - INFO - Iter [96150/160000] lr: 2.458e-05, eta: 4:12:54, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3247, decode.acc_seg: 70.5906, aux.loss_ce: 0.1536, aux.acc_seg: 69.0930, loss: 0.4782 2022-06-18 15:43:13,733 - mmseg - INFO - Iter [96200/160000] lr: 2.456e-05, eta: 4:12:42, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3172, decode.acc_seg: 69.9425, aux.loss_ce: 0.1511, aux.acc_seg: 68.4560, loss: 0.4684 2022-06-18 15:43:25,416 - mmseg - INFO - Iter [96250/160000] lr: 2.454e-05, eta: 4:12:30, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3319, decode.acc_seg: 70.4533, aux.loss_ce: 0.1558, aux.acc_seg: 69.0325, loss: 0.4877 2022-06-18 15:43:37,317 - mmseg - INFO - Iter [96300/160000] lr: 2.453e-05, eta: 4:12:18, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3176, decode.acc_seg: 71.4133, aux.loss_ce: 0.1486, aux.acc_seg: 70.1746, loss: 0.4663 2022-06-18 15:43:49,061 - mmseg - INFO - Iter [96350/160000] lr: 2.451e-05, eta: 4:12:06, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3264, decode.acc_seg: 70.4528, aux.loss_ce: 0.1549, aux.acc_seg: 68.7638, loss: 0.4813 2022-06-18 15:44:00,640 - mmseg - INFO - Iter [96400/160000] lr: 2.449e-05, eta: 4:11:54, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3599, decode.acc_seg: 69.7894, aux.loss_ce: 0.1670, aux.acc_seg: 68.4202, loss: 0.5269 2022-06-18 15:44:12,403 - mmseg - INFO - Iter [96450/160000] lr: 2.447e-05, eta: 4:11:42, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3262, decode.acc_seg: 71.2047, aux.loss_ce: 0.1538, aux.acc_seg: 69.7569, loss: 0.4801 2022-06-18 15:44:23,968 - mmseg - INFO - Iter [96500/160000] lr: 2.445e-05, eta: 4:11:30, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3350, decode.acc_seg: 70.0489, aux.loss_ce: 0.1555, aux.acc_seg: 68.6982, loss: 0.4905 2022-06-18 15:44:35,590 - mmseg - INFO - Iter [96550/160000] lr: 2.443e-05, eta: 4:11:18, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3037, decode.acc_seg: 70.9663, aux.loss_ce: 0.1402, aux.acc_seg: 69.9055, loss: 0.4439 2022-06-18 15:44:47,385 - mmseg - INFO - Iter [96600/160000] lr: 2.441e-05, eta: 4:11:06, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3239, decode.acc_seg: 70.1946, aux.loss_ce: 0.1552, aux.acc_seg: 68.6189, loss: 0.4791 2022-06-18 15:44:59,052 - mmseg - INFO - Iter [96650/160000] lr: 2.439e-05, eta: 4:10:54, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3628, decode.acc_seg: 69.9124, aux.loss_ce: 0.1692, aux.acc_seg: 68.3224, loss: 0.5320 2022-06-18 15:45:11,157 - mmseg - INFO - Iter [96700/160000] lr: 2.437e-05, eta: 4:10:42, time: 0.242, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3224, decode.acc_seg: 70.5495, aux.loss_ce: 0.1519, aux.acc_seg: 69.2521, loss: 0.4744 2022-06-18 15:45:23,121 - mmseg - INFO - Iter [96750/160000] lr: 2.435e-05, eta: 4:10:31, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3088, decode.acc_seg: 71.2895, aux.loss_ce: 0.1457, aux.acc_seg: 69.7580, loss: 0.4545 2022-06-18 15:45:34,686 - mmseg - INFO - Iter [96800/160000] lr: 2.433e-05, eta: 4:10:18, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3059, decode.acc_seg: 70.2882, aux.loss_ce: 0.1426, aux.acc_seg: 69.0836, loss: 0.4485 2022-06-18 15:45:46,232 - mmseg - INFO - Iter [96850/160000] lr: 2.431e-05, eta: 4:10:06, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3390, decode.acc_seg: 70.4429, aux.loss_ce: 0.1570, aux.acc_seg: 69.1099, loss: 0.4960 2022-06-18 15:45:57,964 - mmseg - INFO - Iter [96900/160000] lr: 2.429e-05, eta: 4:09:54, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3588, decode.acc_seg: 69.6185, aux.loss_ce: 0.1666, aux.acc_seg: 68.2043, loss: 0.5254 2022-06-18 15:46:09,818 - mmseg - INFO - Iter [96950/160000] lr: 2.428e-05, eta: 4:09:43, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3188, decode.acc_seg: 71.2587, aux.loss_ce: 0.1503, aux.acc_seg: 69.8120, loss: 0.4691 2022-06-18 15:46:21,569 - mmseg - INFO - Saving checkpoint at 97000 iterations 2022-06-18 15:46:22,270 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 15:46:22,270 - mmseg - INFO - Iter [97000/160000] lr: 2.426e-05, eta: 4:09:31, time: 0.249, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3276, decode.acc_seg: 71.9914, aux.loss_ce: 0.1539, aux.acc_seg: 70.6936, loss: 0.4815 2022-06-18 15:46:33,924 - mmseg - INFO - Iter [97050/160000] lr: 2.424e-05, eta: 4:09:19, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3293, decode.acc_seg: 69.0137, aux.loss_ce: 0.1542, aux.acc_seg: 67.7050, loss: 0.4835 2022-06-18 15:46:45,459 - mmseg - INFO - Iter [97100/160000] lr: 2.422e-05, eta: 4:09:07, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3367, decode.acc_seg: 71.1678, aux.loss_ce: 0.1575, aux.acc_seg: 69.8255, loss: 0.4941 2022-06-18 15:46:57,093 - mmseg - INFO - Iter [97150/160000] lr: 2.420e-05, eta: 4:08:55, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3323, decode.acc_seg: 70.8298, aux.loss_ce: 0.1562, aux.acc_seg: 69.3016, loss: 0.4885 2022-06-18 15:47:08,709 - mmseg - INFO - Iter [97200/160000] lr: 2.418e-05, eta: 4:08:43, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3267, decode.acc_seg: 71.1676, aux.loss_ce: 0.1516, aux.acc_seg: 70.0558, loss: 0.4783 2022-06-18 15:47:20,170 - mmseg - INFO - Iter [97250/160000] lr: 2.416e-05, eta: 4:08:31, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3486, decode.acc_seg: 70.2544, aux.loss_ce: 0.1613, aux.acc_seg: 69.0512, loss: 0.5099 2022-06-18 15:47:34,059 - mmseg - INFO - Iter [97300/160000] lr: 2.414e-05, eta: 4:08:20, time: 0.278, data_time: 0.048, memory: 36048, decode.loss_ce: 0.3335, decode.acc_seg: 69.4928, aux.loss_ce: 0.1557, aux.acc_seg: 68.1421, loss: 0.4892 2022-06-18 15:47:45,808 - mmseg - INFO - Iter [97350/160000] lr: 2.412e-05, eta: 4:08:08, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3088, decode.acc_seg: 71.3518, aux.loss_ce: 0.1460, aux.acc_seg: 70.1290, loss: 0.4548 2022-06-18 15:47:57,759 - mmseg - INFO - Iter [97400/160000] lr: 2.410e-05, eta: 4:07:56, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3256, decode.acc_seg: 70.4466, aux.loss_ce: 0.1549, aux.acc_seg: 68.8166, loss: 0.4805 2022-06-18 15:48:09,620 - mmseg - INFO - Iter [97450/160000] lr: 2.408e-05, eta: 4:07:44, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3161, decode.acc_seg: 69.7726, aux.loss_ce: 0.1470, aux.acc_seg: 68.4728, loss: 0.4632 2022-06-18 15:48:21,541 - mmseg - INFO - Iter [97500/160000] lr: 2.406e-05, eta: 4:07:32, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3110, decode.acc_seg: 70.5545, aux.loss_ce: 0.1483, aux.acc_seg: 69.2954, loss: 0.4593 2022-06-18 15:48:33,445 - mmseg - INFO - Iter [97550/160000] lr: 2.404e-05, eta: 4:07:21, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3405, decode.acc_seg: 70.5506, aux.loss_ce: 0.1606, aux.acc_seg: 69.0624, loss: 0.5011 2022-06-18 15:48:45,244 - mmseg - INFO - Iter [97600/160000] lr: 2.402e-05, eta: 4:07:09, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3326, decode.acc_seg: 70.3727, aux.loss_ce: 0.1540, aux.acc_seg: 69.0312, loss: 0.4866 2022-06-18 15:48:57,214 - mmseg - INFO - Iter [97650/160000] lr: 2.401e-05, eta: 4:06:57, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3310, decode.acc_seg: 70.4763, aux.loss_ce: 0.1570, aux.acc_seg: 68.9818, loss: 0.4881 2022-06-18 15:49:08,987 - mmseg - INFO - Iter [97700/160000] lr: 2.399e-05, eta: 4:06:45, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3170, decode.acc_seg: 70.4426, aux.loss_ce: 0.1514, aux.acc_seg: 68.8577, loss: 0.4684 2022-06-18 15:49:20,570 - mmseg - INFO - Iter [97750/160000] lr: 2.397e-05, eta: 4:06:33, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3300, decode.acc_seg: 71.1927, aux.loss_ce: 0.1515, aux.acc_seg: 70.0885, loss: 0.4815 2022-06-18 15:49:32,125 - mmseg - INFO - Iter [97800/160000] lr: 2.395e-05, eta: 4:06:21, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3164, decode.acc_seg: 70.0204, aux.loss_ce: 0.1489, aux.acc_seg: 68.7697, loss: 0.4653 2022-06-18 15:49:43,843 - mmseg - INFO - Iter [97850/160000] lr: 2.393e-05, eta: 4:06:09, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3147, decode.acc_seg: 71.2238, aux.loss_ce: 0.1486, aux.acc_seg: 69.9049, loss: 0.4633 2022-06-18 15:49:55,439 - mmseg - INFO - Iter [97900/160000] lr: 2.391e-05, eta: 4:05:57, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3325, decode.acc_seg: 71.5516, aux.loss_ce: 0.1559, aux.acc_seg: 70.2098, loss: 0.4884 2022-06-18 15:50:07,339 - mmseg - INFO - Iter [97950/160000] lr: 2.389e-05, eta: 4:05:45, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3307, decode.acc_seg: 71.9715, aux.loss_ce: 0.1548, aux.acc_seg: 70.5211, loss: 0.4855 2022-06-18 15:50:19,035 - mmseg - INFO - Saving checkpoint at 98000 iterations 2022-06-18 15:50:19,742 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 15:50:19,742 - mmseg - INFO - Iter [98000/160000] lr: 2.387e-05, eta: 4:05:33, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3438, decode.acc_seg: 69.8489, aux.loss_ce: 0.1591, aux.acc_seg: 68.4727, loss: 0.5029 2022-06-18 15:50:31,495 - mmseg - INFO - Iter [98050/160000] lr: 2.385e-05, eta: 4:05:21, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3355, decode.acc_seg: 71.6544, aux.loss_ce: 0.1586, aux.acc_seg: 70.1356, loss: 0.4941 2022-06-18 15:50:43,056 - mmseg - INFO - Iter [98100/160000] lr: 2.383e-05, eta: 4:05:09, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3158, decode.acc_seg: 70.5173, aux.loss_ce: 0.1498, aux.acc_seg: 69.0908, loss: 0.4656 2022-06-18 15:50:54,667 - mmseg - INFO - Iter [98150/160000] lr: 2.381e-05, eta: 4:04:57, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3353, decode.acc_seg: 70.2218, aux.loss_ce: 0.1541, aux.acc_seg: 69.0055, loss: 0.4893 2022-06-18 15:51:06,049 - mmseg - INFO - Iter [98200/160000] lr: 2.379e-05, eta: 4:04:45, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3430, decode.acc_seg: 70.0890, aux.loss_ce: 0.1609, aux.acc_seg: 68.6504, loss: 0.5039 2022-06-18 15:51:17,659 - mmseg - INFO - Iter [98250/160000] lr: 2.377e-05, eta: 4:04:33, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3425, decode.acc_seg: 70.5296, aux.loss_ce: 0.1598, aux.acc_seg: 69.2042, loss: 0.5023 2022-06-18 15:51:29,446 - mmseg - INFO - Iter [98300/160000] lr: 2.376e-05, eta: 4:04:21, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3331, decode.acc_seg: 70.7730, aux.loss_ce: 0.1541, aux.acc_seg: 69.3770, loss: 0.4872 2022-06-18 15:51:41,127 - mmseg - INFO - Iter [98350/160000] lr: 2.374e-05, eta: 4:04:09, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3436, decode.acc_seg: 71.0668, aux.loss_ce: 0.1584, aux.acc_seg: 69.8808, loss: 0.5020 2022-06-18 15:51:52,639 - mmseg - INFO - Iter [98400/160000] lr: 2.372e-05, eta: 4:03:57, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3276, decode.acc_seg: 69.9648, aux.loss_ce: 0.1533, aux.acc_seg: 68.6821, loss: 0.4809 2022-06-18 15:52:04,399 - mmseg - INFO - Iter [98450/160000] lr: 2.370e-05, eta: 4:03:45, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3306, decode.acc_seg: 70.3687, aux.loss_ce: 0.1541, aux.acc_seg: 69.1497, loss: 0.4846 2022-06-18 15:52:16,076 - mmseg - INFO - Iter [98500/160000] lr: 2.368e-05, eta: 4:03:33, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3124, decode.acc_seg: 69.5024, aux.loss_ce: 0.1481, aux.acc_seg: 67.9953, loss: 0.4605 2022-06-18 15:52:30,108 - mmseg - INFO - Iter [98550/160000] lr: 2.366e-05, eta: 4:03:22, time: 0.281, data_time: 0.050, memory: 36048, decode.loss_ce: 0.3157, decode.acc_seg: 69.8538, aux.loss_ce: 0.1487, aux.acc_seg: 68.5384, loss: 0.4645 2022-06-18 15:52:41,754 - mmseg - INFO - Iter [98600/160000] lr: 2.364e-05, eta: 4:03:10, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3180, decode.acc_seg: 70.8224, aux.loss_ce: 0.1483, aux.acc_seg: 69.3969, loss: 0.4663 2022-06-18 15:52:53,281 - mmseg - INFO - Iter [98650/160000] lr: 2.362e-05, eta: 4:02:58, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2928, decode.acc_seg: 70.7823, aux.loss_ce: 0.1398, aux.acc_seg: 69.2960, loss: 0.4326 2022-06-18 15:53:04,840 - mmseg - INFO - Iter [98700/160000] lr: 2.360e-05, eta: 4:02:46, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3043, decode.acc_seg: 71.7897, aux.loss_ce: 0.1448, aux.acc_seg: 70.3138, loss: 0.4492 2022-06-18 15:53:16,510 - mmseg - INFO - Iter [98750/160000] lr: 2.358e-05, eta: 4:02:34, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3005, decode.acc_seg: 70.3004, aux.loss_ce: 0.1426, aux.acc_seg: 68.9250, loss: 0.4430 2022-06-18 15:53:28,547 - mmseg - INFO - Iter [98800/160000] lr: 2.356e-05, eta: 4:02:22, time: 0.240, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3166, decode.acc_seg: 69.3357, aux.loss_ce: 0.1493, aux.acc_seg: 67.9070, loss: 0.4659 2022-06-18 15:53:40,259 - mmseg - INFO - Iter [98850/160000] lr: 2.354e-05, eta: 4:02:10, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3279, decode.acc_seg: 70.0779, aux.loss_ce: 0.1516, aux.acc_seg: 68.7223, loss: 0.4795 2022-06-18 15:53:52,182 - mmseg - INFO - Iter [98900/160000] lr: 2.352e-05, eta: 4:01:58, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2986, decode.acc_seg: 71.6113, aux.loss_ce: 0.1427, aux.acc_seg: 70.1056, loss: 0.4412 2022-06-18 15:54:03,892 - mmseg - INFO - Iter [98950/160000] lr: 2.351e-05, eta: 4:01:46, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3214, decode.acc_seg: 71.0035, aux.loss_ce: 0.1514, aux.acc_seg: 69.6158, loss: 0.4728 2022-06-18 15:54:15,557 - mmseg - INFO - Saving checkpoint at 99000 iterations 2022-06-18 15:54:16,288 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 15:54:16,288 - mmseg - INFO - Iter [99000/160000] lr: 2.349e-05, eta: 4:01:35, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3130, decode.acc_seg: 71.3399, aux.loss_ce: 0.1454, aux.acc_seg: 69.9752, loss: 0.4584 2022-06-18 15:54:27,836 - mmseg - INFO - Iter [99050/160000] lr: 2.347e-05, eta: 4:01:23, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2968, decode.acc_seg: 70.7741, aux.loss_ce: 0.1404, aux.acc_seg: 69.3300, loss: 0.4372 2022-06-18 15:54:39,553 - mmseg - INFO - Iter [99100/160000] lr: 2.345e-05, eta: 4:01:11, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3064, decode.acc_seg: 72.3230, aux.loss_ce: 0.1455, aux.acc_seg: 70.8834, loss: 0.4519 2022-06-18 15:54:51,346 - mmseg - INFO - Iter [99150/160000] lr: 2.343e-05, eta: 4:00:59, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3475, decode.acc_seg: 69.6417, aux.loss_ce: 0.1609, aux.acc_seg: 68.3415, loss: 0.5084 2022-06-18 15:55:02,797 - mmseg - INFO - Iter [99200/160000] lr: 2.341e-05, eta: 4:00:47, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3297, decode.acc_seg: 71.8244, aux.loss_ce: 0.1528, aux.acc_seg: 70.6881, loss: 0.4825 2022-06-18 15:55:14,655 - mmseg - INFO - Iter [99250/160000] lr: 2.339e-05, eta: 4:00:35, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3284, decode.acc_seg: 72.0346, aux.loss_ce: 0.1539, aux.acc_seg: 70.6379, loss: 0.4823 2022-06-18 15:55:26,483 - mmseg - INFO - Iter [99300/160000] lr: 2.337e-05, eta: 4:00:23, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3051, decode.acc_seg: 70.1746, aux.loss_ce: 0.1426, aux.acc_seg: 68.9303, loss: 0.4478 2022-06-18 15:55:37,961 - mmseg - INFO - Iter [99350/160000] lr: 2.335e-05, eta: 4:00:11, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3279, decode.acc_seg: 70.4434, aux.loss_ce: 0.1546, aux.acc_seg: 69.0590, loss: 0.4825 2022-06-18 15:55:49,504 - mmseg - INFO - Iter [99400/160000] lr: 2.333e-05, eta: 3:59:59, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3303, decode.acc_seg: 71.2719, aux.loss_ce: 0.1572, aux.acc_seg: 69.5470, loss: 0.4875 2022-06-18 15:56:01,462 - mmseg - INFO - Iter [99450/160000] lr: 2.331e-05, eta: 3:59:47, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3027, decode.acc_seg: 71.0809, aux.loss_ce: 0.1419, aux.acc_seg: 69.6135, loss: 0.4446 2022-06-18 15:56:13,246 - mmseg - INFO - Iter [99500/160000] lr: 2.329e-05, eta: 3:59:35, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3314, decode.acc_seg: 70.9436, aux.loss_ce: 0.1525, aux.acc_seg: 69.6921, loss: 0.4839 2022-06-18 15:56:24,785 - mmseg - INFO - Iter [99550/160000] lr: 2.327e-05, eta: 3:59:23, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3133, decode.acc_seg: 71.0856, aux.loss_ce: 0.1480, aux.acc_seg: 69.7495, loss: 0.4612 2022-06-18 15:56:36,413 - mmseg - INFO - Iter [99600/160000] lr: 2.325e-05, eta: 3:59:11, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3339, decode.acc_seg: 70.2207, aux.loss_ce: 0.1578, aux.acc_seg: 68.7154, loss: 0.4917 2022-06-18 15:56:47,855 - mmseg - INFO - Iter [99650/160000] lr: 2.324e-05, eta: 3:58:59, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3311, decode.acc_seg: 70.1796, aux.loss_ce: 0.1558, aux.acc_seg: 68.8449, loss: 0.4869 2022-06-18 15:56:59,500 - mmseg - INFO - Iter [99700/160000] lr: 2.322e-05, eta: 3:58:47, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3344, decode.acc_seg: 69.8996, aux.loss_ce: 0.1579, aux.acc_seg: 68.3667, loss: 0.4923 2022-06-18 15:57:11,227 - mmseg - INFO - Iter [99750/160000] lr: 2.320e-05, eta: 3:58:35, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3327, decode.acc_seg: 69.8741, aux.loss_ce: 0.1588, aux.acc_seg: 68.2193, loss: 0.4916 2022-06-18 15:57:24,968 - mmseg - INFO - Iter [99800/160000] lr: 2.318e-05, eta: 3:58:24, time: 0.275, data_time: 0.049, memory: 36048, decode.loss_ce: 0.3062, decode.acc_seg: 71.8843, aux.loss_ce: 0.1433, aux.acc_seg: 70.6162, loss: 0.4495 2022-06-18 15:57:36,670 - mmseg - INFO - Iter [99850/160000] lr: 2.316e-05, eta: 3:58:12, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3038, decode.acc_seg: 70.5381, aux.loss_ce: 0.1435, aux.acc_seg: 69.1763, loss: 0.4473 2022-06-18 15:57:48,445 - mmseg - INFO - Iter [99900/160000] lr: 2.314e-05, eta: 3:58:00, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3252, decode.acc_seg: 69.7888, aux.loss_ce: 0.1551, aux.acc_seg: 68.1482, loss: 0.4804 2022-06-18 15:58:00,185 - mmseg - INFO - Iter [99950/160000] lr: 2.312e-05, eta: 3:57:48, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3431, decode.acc_seg: 69.9143, aux.loss_ce: 0.1591, aux.acc_seg: 68.6113, loss: 0.5022 2022-06-18 15:58:11,740 - mmseg - INFO - Saving checkpoint at 100000 iterations 2022-06-18 15:58:12,473 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 15:58:12,473 - mmseg - INFO - Iter [100000/160000] lr: 2.310e-05, eta: 3:57:36, time: 0.246, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3084, decode.acc_seg: 71.8200, aux.loss_ce: 0.1459, aux.acc_seg: 70.4285, loss: 0.4543 2022-06-18 15:58:24,281 - mmseg - INFO - Iter [100050/160000] lr: 2.308e-05, eta: 3:57:24, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3210, decode.acc_seg: 69.4279, aux.loss_ce: 0.1522, aux.acc_seg: 68.1340, loss: 0.4732 2022-06-18 15:58:35,862 - mmseg - INFO - Iter [100100/160000] lr: 2.306e-05, eta: 3:57:12, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3228, decode.acc_seg: 71.5973, aux.loss_ce: 0.1555, aux.acc_seg: 69.7434, loss: 0.4783 2022-06-18 15:58:47,609 - mmseg - INFO - Iter [100150/160000] lr: 2.304e-05, eta: 3:57:00, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3235, decode.acc_seg: 70.2109, aux.loss_ce: 0.1488, aux.acc_seg: 68.9421, loss: 0.4724 2022-06-18 15:58:59,356 - mmseg - INFO - Iter [100200/160000] lr: 2.302e-05, eta: 3:56:49, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3301, decode.acc_seg: 70.0525, aux.loss_ce: 0.1546, aux.acc_seg: 68.6398, loss: 0.4847 2022-06-18 15:59:11,049 - mmseg - INFO - Iter [100250/160000] lr: 2.300e-05, eta: 3:56:37, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3264, decode.acc_seg: 69.6551, aux.loss_ce: 0.1547, aux.acc_seg: 68.1316, loss: 0.4811 2022-06-18 15:59:23,000 - mmseg - INFO - Iter [100300/160000] lr: 2.299e-05, eta: 3:56:25, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3216, decode.acc_seg: 70.9482, aux.loss_ce: 0.1522, aux.acc_seg: 69.5006, loss: 0.4738 2022-06-18 15:59:34,788 - mmseg - INFO - Iter [100350/160000] lr: 2.297e-05, eta: 3:56:13, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3224, decode.acc_seg: 71.3559, aux.loss_ce: 0.1519, aux.acc_seg: 69.8865, loss: 0.4744 2022-06-18 15:59:46,467 - mmseg - INFO - Iter [100400/160000] lr: 2.295e-05, eta: 3:56:01, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3196, decode.acc_seg: 70.8911, aux.loss_ce: 0.1489, aux.acc_seg: 69.4921, loss: 0.4685 2022-06-18 15:59:58,177 - mmseg - INFO - Iter [100450/160000] lr: 2.293e-05, eta: 3:55:49, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3314, decode.acc_seg: 70.3617, aux.loss_ce: 0.1558, aux.acc_seg: 69.0729, loss: 0.4873 2022-06-18 16:00:09,966 - mmseg - INFO - Iter [100500/160000] lr: 2.291e-05, eta: 3:55:37, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3334, decode.acc_seg: 70.1798, aux.loss_ce: 0.1575, aux.acc_seg: 68.6951, loss: 0.4909 2022-06-18 16:00:21,584 - mmseg - INFO - Iter [100550/160000] lr: 2.289e-05, eta: 3:55:25, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3171, decode.acc_seg: 70.6093, aux.loss_ce: 0.1508, aux.acc_seg: 69.1103, loss: 0.4679 2022-06-18 16:00:33,455 - mmseg - INFO - Iter [100600/160000] lr: 2.287e-05, eta: 3:55:13, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3431, decode.acc_seg: 69.9583, aux.loss_ce: 0.1613, aux.acc_seg: 68.5743, loss: 0.5044 2022-06-18 16:00:45,172 - mmseg - INFO - Iter [100650/160000] lr: 2.285e-05, eta: 3:55:01, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3064, decode.acc_seg: 69.3189, aux.loss_ce: 0.1437, aux.acc_seg: 67.9626, loss: 0.4501 2022-06-18 16:00:56,769 - mmseg - INFO - Iter [100700/160000] lr: 2.283e-05, eta: 3:54:49, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3291, decode.acc_seg: 70.0074, aux.loss_ce: 0.1526, aux.acc_seg: 68.6897, loss: 0.4816 2022-06-18 16:01:08,521 - mmseg - INFO - Iter [100750/160000] lr: 2.281e-05, eta: 3:54:37, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3113, decode.acc_seg: 70.8636, aux.loss_ce: 0.1484, aux.acc_seg: 69.3717, loss: 0.4598 2022-06-18 16:01:20,115 - mmseg - INFO - Iter [100800/160000] lr: 2.279e-05, eta: 3:54:25, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3055, decode.acc_seg: 70.2277, aux.loss_ce: 0.1469, aux.acc_seg: 68.6506, loss: 0.4523 2022-06-18 16:01:31,642 - mmseg - INFO - Iter [100850/160000] lr: 2.277e-05, eta: 3:54:13, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3327, decode.acc_seg: 71.0551, aux.loss_ce: 0.1549, aux.acc_seg: 69.6731, loss: 0.4876 2022-06-18 16:01:43,272 - mmseg - INFO - Iter [100900/160000] lr: 2.275e-05, eta: 3:54:01, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3339, decode.acc_seg: 71.2782, aux.loss_ce: 0.1539, aux.acc_seg: 70.1640, loss: 0.4879 2022-06-18 16:01:54,715 - mmseg - INFO - Iter [100950/160000] lr: 2.274e-05, eta: 3:53:49, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3178, decode.acc_seg: 70.9178, aux.loss_ce: 0.1486, aux.acc_seg: 69.4740, loss: 0.4664 2022-06-18 16:02:06,434 - mmseg - INFO - Saving checkpoint at 101000 iterations 2022-06-18 16:02:07,136 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 16:02:07,136 - mmseg - INFO - Iter [101000/160000] lr: 2.272e-05, eta: 3:53:37, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3235, decode.acc_seg: 70.8231, aux.loss_ce: 0.1510, aux.acc_seg: 69.6231, loss: 0.4745 2022-06-18 16:02:20,840 - mmseg - INFO - Iter [101050/160000] lr: 2.270e-05, eta: 3:53:26, time: 0.274, data_time: 0.048, memory: 36048, decode.loss_ce: 0.3278, decode.acc_seg: 71.2055, aux.loss_ce: 0.1562, aux.acc_seg: 69.4698, loss: 0.4840 2022-06-18 16:02:32,460 - mmseg - INFO - Iter [101100/160000] lr: 2.268e-05, eta: 3:53:14, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3090, decode.acc_seg: 70.4138, aux.loss_ce: 0.1456, aux.acc_seg: 69.0292, loss: 0.4546 2022-06-18 16:02:44,104 - mmseg - INFO - Iter [101150/160000] lr: 2.266e-05, eta: 3:53:02, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3151, decode.acc_seg: 70.5461, aux.loss_ce: 0.1503, aux.acc_seg: 69.1605, loss: 0.4654 2022-06-18 16:02:55,609 - mmseg - INFO - Iter [101200/160000] lr: 2.264e-05, eta: 3:52:50, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2930, decode.acc_seg: 70.2832, aux.loss_ce: 0.1404, aux.acc_seg: 68.8551, loss: 0.4333 2022-06-18 16:03:07,005 - mmseg - INFO - Iter [101250/160000] lr: 2.262e-05, eta: 3:52:38, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3118, decode.acc_seg: 72.3687, aux.loss_ce: 0.1477, aux.acc_seg: 70.8301, loss: 0.4596 2022-06-18 16:03:18,473 - mmseg - INFO - Iter [101300/160000] lr: 2.260e-05, eta: 3:52:26, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3009, decode.acc_seg: 71.2753, aux.loss_ce: 0.1424, aux.acc_seg: 69.9137, loss: 0.4433 2022-06-18 16:03:30,068 - mmseg - INFO - Iter [101350/160000] lr: 2.258e-05, eta: 3:52:14, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3180, decode.acc_seg: 70.7086, aux.loss_ce: 0.1489, aux.acc_seg: 69.4241, loss: 0.4669 2022-06-18 16:03:41,594 - mmseg - INFO - Iter [101400/160000] lr: 2.256e-05, eta: 3:52:02, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3111, decode.acc_seg: 71.7761, aux.loss_ce: 0.1458, aux.acc_seg: 70.5839, loss: 0.4569 2022-06-18 16:03:53,177 - mmseg - INFO - Iter [101450/160000] lr: 2.254e-05, eta: 3:51:50, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3399, decode.acc_seg: 71.0595, aux.loss_ce: 0.1593, aux.acc_seg: 69.6475, loss: 0.4992 2022-06-18 16:04:05,008 - mmseg - INFO - Iter [101500/160000] lr: 2.252e-05, eta: 3:51:38, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3104, decode.acc_seg: 70.3174, aux.loss_ce: 0.1490, aux.acc_seg: 68.7782, loss: 0.4594 2022-06-18 16:04:16,713 - mmseg - INFO - Iter [101550/160000] lr: 2.250e-05, eta: 3:51:26, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3411, decode.acc_seg: 69.5392, aux.loss_ce: 0.1578, aux.acc_seg: 68.2621, loss: 0.4990 2022-06-18 16:04:28,383 - mmseg - INFO - Iter [101600/160000] lr: 2.248e-05, eta: 3:51:14, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3215, decode.acc_seg: 70.7025, aux.loss_ce: 0.1500, aux.acc_seg: 69.4470, loss: 0.4715 2022-06-18 16:04:40,244 - mmseg - INFO - Iter [101650/160000] lr: 2.247e-05, eta: 3:51:02, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3038, decode.acc_seg: 71.3572, aux.loss_ce: 0.1434, aux.acc_seg: 70.0856, loss: 0.4473 2022-06-18 16:04:51,859 - mmseg - INFO - Iter [101700/160000] lr: 2.245e-05, eta: 3:50:50, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3135, decode.acc_seg: 71.6583, aux.loss_ce: 0.1475, aux.acc_seg: 70.3100, loss: 0.4610 2022-06-18 16:05:03,388 - mmseg - INFO - Iter [101750/160000] lr: 2.243e-05, eta: 3:50:38, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3291, decode.acc_seg: 69.3119, aux.loss_ce: 0.1577, aux.acc_seg: 67.6924, loss: 0.4868 2022-06-18 16:05:15,098 - mmseg - INFO - Iter [101800/160000] lr: 2.241e-05, eta: 3:50:26, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3288, decode.acc_seg: 70.7899, aux.loss_ce: 0.1532, aux.acc_seg: 69.5213, loss: 0.4821 2022-06-18 16:05:26,851 - mmseg - INFO - Iter [101850/160000] lr: 2.239e-05, eta: 3:50:14, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3110, decode.acc_seg: 70.2824, aux.loss_ce: 0.1480, aux.acc_seg: 68.7642, loss: 0.4591 2022-06-18 16:05:38,346 - mmseg - INFO - Iter [101900/160000] lr: 2.237e-05, eta: 3:50:02, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3124, decode.acc_seg: 71.7028, aux.loss_ce: 0.1461, aux.acc_seg: 70.3476, loss: 0.4585 2022-06-18 16:05:49,786 - mmseg - INFO - Iter [101950/160000] lr: 2.235e-05, eta: 3:49:50, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3186, decode.acc_seg: 69.9862, aux.loss_ce: 0.1500, aux.acc_seg: 68.5286, loss: 0.4686 2022-06-18 16:06:01,424 - mmseg - INFO - Saving checkpoint at 102000 iterations 2022-06-18 16:06:02,122 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 16:06:02,122 - mmseg - INFO - Iter [102000/160000] lr: 2.233e-05, eta: 3:49:38, time: 0.247, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3176, decode.acc_seg: 70.1922, aux.loss_ce: 0.1480, aux.acc_seg: 68.9459, loss: 0.4655 2022-06-18 16:06:13,700 - mmseg - INFO - Iter [102050/160000] lr: 2.231e-05, eta: 3:49:26, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3203, decode.acc_seg: 72.3505, aux.loss_ce: 0.1502, aux.acc_seg: 71.0136, loss: 0.4705 2022-06-18 16:06:25,450 - mmseg - INFO - Iter [102100/160000] lr: 2.229e-05, eta: 3:49:14, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3080, decode.acc_seg: 70.8930, aux.loss_ce: 0.1453, aux.acc_seg: 69.6095, loss: 0.4532 2022-06-18 16:06:37,063 - mmseg - INFO - Iter [102150/160000] lr: 2.227e-05, eta: 3:49:02, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3240, decode.acc_seg: 69.2907, aux.loss_ce: 0.1522, aux.acc_seg: 67.9296, loss: 0.4762 2022-06-18 16:06:48,678 - mmseg - INFO - Iter [102200/160000] lr: 2.225e-05, eta: 3:48:50, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3200, decode.acc_seg: 71.3890, aux.loss_ce: 0.1537, aux.acc_seg: 69.9504, loss: 0.4737 2022-06-18 16:07:00,448 - mmseg - INFO - Iter [102250/160000] lr: 2.223e-05, eta: 3:48:38, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3068, decode.acc_seg: 70.7761, aux.loss_ce: 0.1450, aux.acc_seg: 69.4060, loss: 0.4518 2022-06-18 16:07:11,859 - mmseg - INFO - Iter [102300/160000] lr: 2.222e-05, eta: 3:48:26, time: 0.228, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3319, decode.acc_seg: 70.2409, aux.loss_ce: 0.1543, aux.acc_seg: 68.7539, loss: 0.4862 2022-06-18 16:07:25,716 - mmseg - INFO - Iter [102350/160000] lr: 2.220e-05, eta: 3:48:15, time: 0.277, data_time: 0.050, memory: 36048, decode.loss_ce: 0.2990, decode.acc_seg: 71.7238, aux.loss_ce: 0.1417, aux.acc_seg: 70.3312, loss: 0.4408 2022-06-18 16:07:37,233 - mmseg - INFO - Iter [102400/160000] lr: 2.218e-05, eta: 3:48:03, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2981, decode.acc_seg: 71.5876, aux.loss_ce: 0.1428, aux.acc_seg: 70.1910, loss: 0.4409 2022-06-18 16:07:49,058 - mmseg - INFO - Iter [102450/160000] lr: 2.216e-05, eta: 3:47:51, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3192, decode.acc_seg: 71.0020, aux.loss_ce: 0.1509, aux.acc_seg: 69.6633, loss: 0.4701 2022-06-18 16:08:00,645 - mmseg - INFO - Iter [102500/160000] lr: 2.214e-05, eta: 3:47:39, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3274, decode.acc_seg: 71.4869, aux.loss_ce: 0.1524, aux.acc_seg: 70.1757, loss: 0.4798 2022-06-18 16:08:12,206 - mmseg - INFO - Iter [102550/160000] lr: 2.212e-05, eta: 3:47:27, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3015, decode.acc_seg: 71.4159, aux.loss_ce: 0.1414, aux.acc_seg: 70.0863, loss: 0.4429 2022-06-18 16:08:23,726 - mmseg - INFO - Iter [102600/160000] lr: 2.210e-05, eta: 3:47:15, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2944, decode.acc_seg: 70.1388, aux.loss_ce: 0.1390, aux.acc_seg: 68.7481, loss: 0.4334 2022-06-18 16:08:35,145 - mmseg - INFO - Iter [102650/160000] lr: 2.208e-05, eta: 3:47:03, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3086, decode.acc_seg: 70.1154, aux.loss_ce: 0.1477, aux.acc_seg: 68.6299, loss: 0.4563 2022-06-18 16:08:47,146 - mmseg - INFO - Iter [102700/160000] lr: 2.206e-05, eta: 3:46:51, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3280, decode.acc_seg: 71.5198, aux.loss_ce: 0.1535, aux.acc_seg: 70.0824, loss: 0.4814 2022-06-18 16:08:59,026 - mmseg - INFO - Iter [102750/160000] lr: 2.204e-05, eta: 3:46:39, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3280, decode.acc_seg: 70.4183, aux.loss_ce: 0.1534, aux.acc_seg: 69.0526, loss: 0.4814 2022-06-18 16:09:11,119 - mmseg - INFO - Iter [102800/160000] lr: 2.202e-05, eta: 3:46:27, time: 0.242, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3007, decode.acc_seg: 69.2129, aux.loss_ce: 0.1434, aux.acc_seg: 67.7768, loss: 0.4441 2022-06-18 16:09:22,950 - mmseg - INFO - Iter [102850/160000] lr: 2.200e-05, eta: 3:46:15, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3043, decode.acc_seg: 71.6888, aux.loss_ce: 0.1451, aux.acc_seg: 70.2023, loss: 0.4494 2022-06-18 16:09:34,645 - mmseg - INFO - Iter [102900/160000] lr: 2.198e-05, eta: 3:46:03, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3293, decode.acc_seg: 69.7561, aux.loss_ce: 0.1527, aux.acc_seg: 68.4484, loss: 0.4819 2022-06-18 16:09:46,280 - mmseg - INFO - Iter [102950/160000] lr: 2.197e-05, eta: 3:45:51, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3072, decode.acc_seg: 71.1036, aux.loss_ce: 0.1443, aux.acc_seg: 69.8306, loss: 0.4515 2022-06-18 16:09:58,083 - mmseg - INFO - Saving checkpoint at 103000 iterations 2022-06-18 16:09:58,780 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 16:09:58,781 - mmseg - INFO - Iter [103000/160000] lr: 2.195e-05, eta: 3:45:40, time: 0.250, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3247, decode.acc_seg: 71.2964, aux.loss_ce: 0.1536, aux.acc_seg: 69.9382, loss: 0.4784 2022-06-18 16:10:10,472 - mmseg - INFO - Iter [103050/160000] lr: 2.193e-05, eta: 3:45:28, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3135, decode.acc_seg: 69.6764, aux.loss_ce: 0.1461, aux.acc_seg: 68.5162, loss: 0.4597 2022-06-18 16:10:22,139 - mmseg - INFO - Iter [103100/160000] lr: 2.191e-05, eta: 3:45:16, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3245, decode.acc_seg: 71.2837, aux.loss_ce: 0.1535, aux.acc_seg: 69.8324, loss: 0.4780 2022-06-18 16:10:33,692 - mmseg - INFO - Iter [103150/160000] lr: 2.189e-05, eta: 3:45:04, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3223, decode.acc_seg: 70.5196, aux.loss_ce: 0.1516, aux.acc_seg: 69.0170, loss: 0.4739 2022-06-18 16:10:45,323 - mmseg - INFO - Iter [103200/160000] lr: 2.187e-05, eta: 3:44:52, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3054, decode.acc_seg: 70.3173, aux.loss_ce: 0.1444, aux.acc_seg: 68.7637, loss: 0.4498 2022-06-18 16:10:56,835 - mmseg - INFO - Iter [103250/160000] lr: 2.185e-05, eta: 3:44:40, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2989, decode.acc_seg: 71.5953, aux.loss_ce: 0.1441, aux.acc_seg: 70.1345, loss: 0.4429 2022-06-18 16:11:08,626 - mmseg - INFO - Iter [103300/160000] lr: 2.183e-05, eta: 3:44:28, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3108, decode.acc_seg: 71.4780, aux.loss_ce: 0.1452, aux.acc_seg: 70.2204, loss: 0.4559 2022-06-18 16:11:20,498 - mmseg - INFO - Iter [103350/160000] lr: 2.181e-05, eta: 3:44:16, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3145, decode.acc_seg: 71.0681, aux.loss_ce: 0.1490, aux.acc_seg: 69.5872, loss: 0.4635 2022-06-18 16:11:32,278 - mmseg - INFO - Iter [103400/160000] lr: 2.179e-05, eta: 3:44:04, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3238, decode.acc_seg: 71.0925, aux.loss_ce: 0.1506, aux.acc_seg: 69.8641, loss: 0.4744 2022-06-18 16:11:43,725 - mmseg - INFO - Iter [103450/160000] lr: 2.177e-05, eta: 3:43:52, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3195, decode.acc_seg: 70.3996, aux.loss_ce: 0.1498, aux.acc_seg: 69.0068, loss: 0.4693 2022-06-18 16:11:55,342 - mmseg - INFO - Iter [103500/160000] lr: 2.175e-05, eta: 3:43:40, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3322, decode.acc_seg: 70.2318, aux.loss_ce: 0.1559, aux.acc_seg: 68.8014, loss: 0.4881 2022-06-18 16:12:07,087 - mmseg - INFO - Iter [103550/160000] lr: 2.173e-05, eta: 3:43:28, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3088, decode.acc_seg: 69.8388, aux.loss_ce: 0.1463, aux.acc_seg: 68.4002, loss: 0.4551 2022-06-18 16:12:21,247 - mmseg - INFO - Iter [103600/160000] lr: 2.171e-05, eta: 3:43:17, time: 0.284, data_time: 0.049, memory: 36048, decode.loss_ce: 0.3180, decode.acc_seg: 70.8805, aux.loss_ce: 0.1506, aux.acc_seg: 69.3281, loss: 0.4686 2022-06-18 16:12:32,703 - mmseg - INFO - Iter [103650/160000] lr: 2.170e-05, eta: 3:43:05, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3036, decode.acc_seg: 71.0936, aux.loss_ce: 0.1444, aux.acc_seg: 69.6041, loss: 0.4481 2022-06-18 16:12:44,340 - mmseg - INFO - Iter [103700/160000] lr: 2.168e-05, eta: 3:42:53, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3109, decode.acc_seg: 70.2839, aux.loss_ce: 0.1486, aux.acc_seg: 68.6639, loss: 0.4595 2022-06-18 16:12:55,745 - mmseg - INFO - Iter [103750/160000] lr: 2.166e-05, eta: 3:42:41, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3160, decode.acc_seg: 71.8773, aux.loss_ce: 0.1488, aux.acc_seg: 70.4290, loss: 0.4648 2022-06-18 16:13:07,507 - mmseg - INFO - Iter [103800/160000] lr: 2.164e-05, eta: 3:42:29, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3045, decode.acc_seg: 71.1777, aux.loss_ce: 0.1446, aux.acc_seg: 69.7471, loss: 0.4491 2022-06-18 16:13:19,140 - mmseg - INFO - Iter [103850/160000] lr: 2.162e-05, eta: 3:42:17, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3116, decode.acc_seg: 70.9136, aux.loss_ce: 0.1476, aux.acc_seg: 69.5785, loss: 0.4592 2022-06-18 16:13:30,906 - mmseg - INFO - Iter [103900/160000] lr: 2.160e-05, eta: 3:42:05, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3121, decode.acc_seg: 71.0062, aux.loss_ce: 0.1482, aux.acc_seg: 69.5060, loss: 0.4602 2022-06-18 16:13:42,248 - mmseg - INFO - Iter [103950/160000] lr: 2.158e-05, eta: 3:41:53, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3105, decode.acc_seg: 70.1525, aux.loss_ce: 0.1458, aux.acc_seg: 68.7498, loss: 0.4563 2022-06-18 16:13:53,989 - mmseg - INFO - Saving checkpoint at 104000 iterations 2022-06-18 16:13:54,699 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 16:13:54,699 - mmseg - INFO - Iter [104000/160000] lr: 2.156e-05, eta: 3:41:42, time: 0.249, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2927, decode.acc_seg: 71.5986, aux.loss_ce: 0.1386, aux.acc_seg: 70.2505, loss: 0.4313 2022-06-18 16:14:06,291 - mmseg - INFO - Iter [104050/160000] lr: 2.154e-05, eta: 3:41:29, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3233, decode.acc_seg: 71.7488, aux.loss_ce: 0.1530, aux.acc_seg: 70.3278, loss: 0.4763 2022-06-18 16:14:17,938 - mmseg - INFO - Iter [104100/160000] lr: 2.152e-05, eta: 3:41:17, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3239, decode.acc_seg: 70.2305, aux.loss_ce: 0.1536, aux.acc_seg: 68.7811, loss: 0.4775 2022-06-18 16:14:29,841 - mmseg - INFO - Iter [104150/160000] lr: 2.150e-05, eta: 3:41:06, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3217, decode.acc_seg: 71.3773, aux.loss_ce: 0.1543, aux.acc_seg: 69.7225, loss: 0.4760 2022-06-18 16:14:41,536 - mmseg - INFO - Iter [104200/160000] lr: 2.148e-05, eta: 3:40:54, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3077, decode.acc_seg: 71.3994, aux.loss_ce: 0.1442, aux.acc_seg: 70.0767, loss: 0.4519 2022-06-18 16:14:53,129 - mmseg - INFO - Iter [104250/160000] lr: 2.146e-05, eta: 3:40:42, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3119, decode.acc_seg: 71.1765, aux.loss_ce: 0.1478, aux.acc_seg: 69.6472, loss: 0.4598 2022-06-18 16:15:04,784 - mmseg - INFO - Iter [104300/160000] lr: 2.145e-05, eta: 3:40:30, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3100, decode.acc_seg: 69.4234, aux.loss_ce: 0.1461, aux.acc_seg: 68.0530, loss: 0.4561 2022-06-18 16:15:16,391 - mmseg - INFO - Iter [104350/160000] lr: 2.143e-05, eta: 3:40:18, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3059, decode.acc_seg: 71.5891, aux.loss_ce: 0.1463, aux.acc_seg: 70.0530, loss: 0.4522 2022-06-18 16:15:27,912 - mmseg - INFO - Iter [104400/160000] lr: 2.141e-05, eta: 3:40:06, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3238, decode.acc_seg: 70.7673, aux.loss_ce: 0.1515, aux.acc_seg: 69.3056, loss: 0.4753 2022-06-18 16:15:39,429 - mmseg - INFO - Iter [104450/160000] lr: 2.139e-05, eta: 3:39:53, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3003, decode.acc_seg: 70.2956, aux.loss_ce: 0.1417, aux.acc_seg: 69.0071, loss: 0.4420 2022-06-18 16:15:50,940 - mmseg - INFO - Iter [104500/160000] lr: 2.137e-05, eta: 3:39:41, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3285, decode.acc_seg: 69.0030, aux.loss_ce: 0.1563, aux.acc_seg: 67.4653, loss: 0.4848 2022-06-18 16:16:02,639 - mmseg - INFO - Iter [104550/160000] lr: 2.135e-05, eta: 3:39:29, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3220, decode.acc_seg: 71.7438, aux.loss_ce: 0.1527, aux.acc_seg: 70.2938, loss: 0.4747 2022-06-18 16:16:14,153 - mmseg - INFO - Iter [104600/160000] lr: 2.133e-05, eta: 3:39:17, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3248, decode.acc_seg: 68.5188, aux.loss_ce: 0.1525, aux.acc_seg: 67.0935, loss: 0.4774 2022-06-18 16:16:25,825 - mmseg - INFO - Iter [104650/160000] lr: 2.131e-05, eta: 3:39:05, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3169, decode.acc_seg: 70.1367, aux.loss_ce: 0.1479, aux.acc_seg: 68.8046, loss: 0.4649 2022-06-18 16:16:37,446 - mmseg - INFO - Iter [104700/160000] lr: 2.129e-05, eta: 3:38:53, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3207, decode.acc_seg: 70.1887, aux.loss_ce: 0.1497, aux.acc_seg: 68.9541, loss: 0.4704 2022-06-18 16:16:49,300 - mmseg - INFO - Iter [104750/160000] lr: 2.127e-05, eta: 3:38:41, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3036, decode.acc_seg: 69.8995, aux.loss_ce: 0.1457, aux.acc_seg: 68.6361, loss: 0.4493 2022-06-18 16:17:01,180 - mmseg - INFO - Iter [104800/160000] lr: 2.125e-05, eta: 3:38:30, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3253, decode.acc_seg: 70.8086, aux.loss_ce: 0.1559, aux.acc_seg: 69.2495, loss: 0.4813 2022-06-18 16:17:14,972 - mmseg - INFO - Iter [104850/160000] lr: 2.123e-05, eta: 3:38:19, time: 0.276, data_time: 0.050, memory: 36048, decode.loss_ce: 0.2946, decode.acc_seg: 73.2379, aux.loss_ce: 0.1393, aux.acc_seg: 71.9110, loss: 0.4338 2022-06-18 16:17:26,578 - mmseg - INFO - Iter [104900/160000] lr: 2.121e-05, eta: 3:38:07, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3041, decode.acc_seg: 71.5379, aux.loss_ce: 0.1452, aux.acc_seg: 70.0284, loss: 0.4493 2022-06-18 16:17:38,288 - mmseg - INFO - Iter [104950/160000] lr: 2.119e-05, eta: 3:37:55, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3271, decode.acc_seg: 71.6910, aux.loss_ce: 0.1521, aux.acc_seg: 70.4467, loss: 0.4792 2022-06-18 16:17:50,145 - mmseg - INFO - Saving checkpoint at 105000 iterations 2022-06-18 16:17:50,856 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 16:17:50,856 - mmseg - INFO - Iter [105000/160000] lr: 2.118e-05, eta: 3:37:43, time: 0.251, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3173, decode.acc_seg: 71.3148, aux.loss_ce: 0.1484, aux.acc_seg: 70.0897, loss: 0.4657 2022-06-18 16:18:02,390 - mmseg - INFO - Iter [105050/160000] lr: 2.116e-05, eta: 3:37:31, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3267, decode.acc_seg: 69.3837, aux.loss_ce: 0.1521, aux.acc_seg: 68.1028, loss: 0.4789 2022-06-18 16:18:14,066 - mmseg - INFO - Iter [105100/160000] lr: 2.114e-05, eta: 3:37:19, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3025, decode.acc_seg: 71.5869, aux.loss_ce: 0.1455, aux.acc_seg: 69.9387, loss: 0.4480 2022-06-18 16:18:25,750 - mmseg - INFO - Iter [105150/160000] lr: 2.112e-05, eta: 3:37:07, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3135, decode.acc_seg: 70.9471, aux.loss_ce: 0.1471, aux.acc_seg: 69.4879, loss: 0.4606 2022-06-18 16:18:37,285 - mmseg - INFO - Iter [105200/160000] lr: 2.110e-05, eta: 3:36:55, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3106, decode.acc_seg: 72.1822, aux.loss_ce: 0.1490, aux.acc_seg: 70.4019, loss: 0.4597 2022-06-18 16:18:48,889 - mmseg - INFO - Iter [105250/160000] lr: 2.108e-05, eta: 3:36:43, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3009, decode.acc_seg: 71.8899, aux.loss_ce: 0.1411, aux.acc_seg: 70.7137, loss: 0.4420 2022-06-18 16:19:00,883 - mmseg - INFO - Iter [105300/160000] lr: 2.106e-05, eta: 3:36:31, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3059, decode.acc_seg: 71.2734, aux.loss_ce: 0.1465, aux.acc_seg: 69.8727, loss: 0.4524 2022-06-18 16:19:12,393 - mmseg - INFO - Iter [105350/160000] lr: 2.104e-05, eta: 3:36:19, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3340, decode.acc_seg: 69.5865, aux.loss_ce: 0.1578, aux.acc_seg: 68.0796, loss: 0.4918 2022-06-18 16:19:24,011 - mmseg - INFO - Iter [105400/160000] lr: 2.102e-05, eta: 3:36:07, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3156, decode.acc_seg: 70.8637, aux.loss_ce: 0.1501, aux.acc_seg: 69.3863, loss: 0.4658 2022-06-18 16:19:35,668 - mmseg - INFO - Iter [105450/160000] lr: 2.100e-05, eta: 3:35:55, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3104, decode.acc_seg: 69.9227, aux.loss_ce: 0.1466, aux.acc_seg: 68.5430, loss: 0.4570 2022-06-18 16:19:47,293 - mmseg - INFO - Iter [105500/160000] lr: 2.098e-05, eta: 3:35:43, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3062, decode.acc_seg: 69.6693, aux.loss_ce: 0.1436, aux.acc_seg: 68.3454, loss: 0.4498 2022-06-18 16:19:58,915 - mmseg - INFO - Iter [105550/160000] lr: 2.096e-05, eta: 3:35:31, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3072, decode.acc_seg: 70.3086, aux.loss_ce: 0.1465, aux.acc_seg: 68.8234, loss: 0.4536 2022-06-18 16:20:10,548 - mmseg - INFO - Iter [105600/160000] lr: 2.094e-05, eta: 3:35:19, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3181, decode.acc_seg: 69.7833, aux.loss_ce: 0.1502, aux.acc_seg: 68.3664, loss: 0.4683 2022-06-18 16:20:22,220 - mmseg - INFO - Iter [105650/160000] lr: 2.093e-05, eta: 3:35:07, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3291, decode.acc_seg: 71.4317, aux.loss_ce: 0.1526, aux.acc_seg: 70.0038, loss: 0.4817 2022-06-18 16:20:34,033 - mmseg - INFO - Iter [105700/160000] lr: 2.091e-05, eta: 3:34:55, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3085, decode.acc_seg: 70.3697, aux.loss_ce: 0.1459, aux.acc_seg: 68.9393, loss: 0.4543 2022-06-18 16:20:45,512 - mmseg - INFO - Iter [105750/160000] lr: 2.089e-05, eta: 3:34:43, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3103, decode.acc_seg: 70.6479, aux.loss_ce: 0.1467, aux.acc_seg: 69.1448, loss: 0.4570 2022-06-18 16:20:57,243 - mmseg - INFO - Iter [105800/160000] lr: 2.087e-05, eta: 3:34:31, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3055, decode.acc_seg: 71.6628, aux.loss_ce: 0.1462, aux.acc_seg: 70.0861, loss: 0.4517 2022-06-18 16:21:08,785 - mmseg - INFO - Iter [105850/160000] lr: 2.085e-05, eta: 3:34:19, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3147, decode.acc_seg: 68.9980, aux.loss_ce: 0.1489, aux.acc_seg: 67.5997, loss: 0.4636 2022-06-18 16:21:20,490 - mmseg - INFO - Iter [105900/160000] lr: 2.083e-05, eta: 3:34:07, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3291, decode.acc_seg: 71.0932, aux.loss_ce: 0.1533, aux.acc_seg: 69.6604, loss: 0.4824 2022-06-18 16:21:32,015 - mmseg - INFO - Iter [105950/160000] lr: 2.081e-05, eta: 3:33:55, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3047, decode.acc_seg: 71.4623, aux.loss_ce: 0.1424, aux.acc_seg: 70.2185, loss: 0.4471 2022-06-18 16:21:43,477 - mmseg - INFO - Saving checkpoint at 106000 iterations 2022-06-18 16:21:44,173 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 16:21:44,173 - mmseg - INFO - Iter [106000/160000] lr: 2.079e-05, eta: 3:33:44, time: 0.243, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3327, decode.acc_seg: 70.4354, aux.loss_ce: 0.1568, aux.acc_seg: 69.1006, loss: 0.4896 2022-06-18 16:21:55,943 - mmseg - INFO - Iter [106050/160000] lr: 2.077e-05, eta: 3:33:32, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3023, decode.acc_seg: 71.6944, aux.loss_ce: 0.1430, aux.acc_seg: 70.4076, loss: 0.4453 2022-06-18 16:22:09,718 - mmseg - INFO - Iter [106100/160000] lr: 2.075e-05, eta: 3:33:21, time: 0.275, data_time: 0.048, memory: 36048, decode.loss_ce: 0.3147, decode.acc_seg: 71.3226, aux.loss_ce: 0.1483, aux.acc_seg: 69.8851, loss: 0.4631 2022-06-18 16:22:21,666 - mmseg - INFO - Iter [106150/160000] lr: 2.073e-05, eta: 3:33:09, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3081, decode.acc_seg: 72.3097, aux.loss_ce: 0.1457, aux.acc_seg: 70.8126, loss: 0.4538 2022-06-18 16:22:33,116 - mmseg - INFO - Iter [106200/160000] lr: 2.071e-05, eta: 3:32:57, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3121, decode.acc_seg: 70.4983, aux.loss_ce: 0.1471, aux.acc_seg: 69.1917, loss: 0.4592 2022-06-18 16:22:44,920 - mmseg - INFO - Iter [106250/160000] lr: 2.069e-05, eta: 3:32:45, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3207, decode.acc_seg: 70.6732, aux.loss_ce: 0.1508, aux.acc_seg: 69.3042, loss: 0.4715 2022-06-18 16:22:56,664 - mmseg - INFO - Iter [106300/160000] lr: 2.068e-05, eta: 3:32:33, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3188, decode.acc_seg: 70.9853, aux.loss_ce: 0.1503, aux.acc_seg: 69.6253, loss: 0.4692 2022-06-18 16:23:08,412 - mmseg - INFO - Iter [106350/160000] lr: 2.066e-05, eta: 3:32:21, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3246, decode.acc_seg: 70.2501, aux.loss_ce: 0.1548, aux.acc_seg: 68.7994, loss: 0.4794 2022-06-18 16:23:20,095 - mmseg - INFO - Iter [106400/160000] lr: 2.064e-05, eta: 3:32:09, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3176, decode.acc_seg: 71.6923, aux.loss_ce: 0.1518, aux.acc_seg: 70.2406, loss: 0.4694 2022-06-18 16:23:31,712 - mmseg - INFO - Iter [106450/160000] lr: 2.062e-05, eta: 3:31:57, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2940, decode.acc_seg: 70.0213, aux.loss_ce: 0.1403, aux.acc_seg: 68.4819, loss: 0.4343 2022-06-18 16:23:43,444 - mmseg - INFO - Iter [106500/160000] lr: 2.060e-05, eta: 3:31:45, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3081, decode.acc_seg: 70.7419, aux.loss_ce: 0.1481, aux.acc_seg: 69.2536, loss: 0.4562 2022-06-18 16:23:54,972 - mmseg - INFO - Iter [106550/160000] lr: 2.058e-05, eta: 3:31:33, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3217, decode.acc_seg: 70.8434, aux.loss_ce: 0.1507, aux.acc_seg: 69.4284, loss: 0.4724 2022-06-18 16:24:06,726 - mmseg - INFO - Iter [106600/160000] lr: 2.056e-05, eta: 3:31:21, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2885, decode.acc_seg: 72.0233, aux.loss_ce: 0.1396, aux.acc_seg: 70.5738, loss: 0.4281 2022-06-18 16:24:18,478 - mmseg - INFO - Iter [106650/160000] lr: 2.054e-05, eta: 3:31:09, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3122, decode.acc_seg: 71.2255, aux.loss_ce: 0.1465, aux.acc_seg: 69.9398, loss: 0.4587 2022-06-18 16:24:30,139 - mmseg - INFO - Iter [106700/160000] lr: 2.052e-05, eta: 3:30:57, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3034, decode.acc_seg: 70.7608, aux.loss_ce: 0.1455, aux.acc_seg: 69.3064, loss: 0.4489 2022-06-18 16:24:41,786 - mmseg - INFO - Iter [106750/160000] lr: 2.050e-05, eta: 3:30:45, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3223, decode.acc_seg: 70.8973, aux.loss_ce: 0.1508, aux.acc_seg: 69.4826, loss: 0.4731 2022-06-18 16:24:53,590 - mmseg - INFO - Iter [106800/160000] lr: 2.048e-05, eta: 3:30:33, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3147, decode.acc_seg: 71.4519, aux.loss_ce: 0.1507, aux.acc_seg: 69.9540, loss: 0.4654 2022-06-18 16:25:05,650 - mmseg - INFO - Iter [106850/160000] lr: 2.046e-05, eta: 3:30:22, time: 0.241, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2988, decode.acc_seg: 70.5262, aux.loss_ce: 0.1429, aux.acc_seg: 69.0614, loss: 0.4417 2022-06-18 16:25:17,317 - mmseg - INFO - Iter [106900/160000] lr: 2.044e-05, eta: 3:30:10, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2998, decode.acc_seg: 71.8376, aux.loss_ce: 0.1431, aux.acc_seg: 70.3396, loss: 0.4429 2022-06-18 16:25:28,852 - mmseg - INFO - Iter [106950/160000] lr: 2.042e-05, eta: 3:29:58, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3039, decode.acc_seg: 71.1840, aux.loss_ce: 0.1460, aux.acc_seg: 69.5830, loss: 0.4499 2022-06-18 16:25:40,258 - mmseg - INFO - Saving checkpoint at 107000 iterations 2022-06-18 16:25:40,977 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 16:25:40,977 - mmseg - INFO - Iter [107000/160000] lr: 2.041e-05, eta: 3:29:46, time: 0.242, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3105, decode.acc_seg: 70.9854, aux.loss_ce: 0.1478, aux.acc_seg: 69.4992, loss: 0.4583 2022-06-18 16:25:52,770 - mmseg - INFO - Iter [107050/160000] lr: 2.039e-05, eta: 3:29:34, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3115, decode.acc_seg: 70.3003, aux.loss_ce: 0.1461, aux.acc_seg: 68.9985, loss: 0.4576 2022-06-18 16:26:05,314 - mmseg - INFO - Iter [107100/160000] lr: 2.037e-05, eta: 3:29:22, time: 0.251, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2888, decode.acc_seg: 70.5820, aux.loss_ce: 0.1377, aux.acc_seg: 69.2503, loss: 0.4265 2022-06-18 16:26:35,882 - mmseg - INFO - Iter [107150/160000] lr: 2.035e-05, eta: 3:29:20, time: 0.612, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3054, decode.acc_seg: 70.3753, aux.loss_ce: 0.1473, aux.acc_seg: 68.8484, loss: 0.4527 2022-06-18 16:27:13,308 - mmseg - INFO - Iter [107200/160000] lr: 2.033e-05, eta: 3:29:20, time: 0.749, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3230, decode.acc_seg: 71.9634, aux.loss_ce: 0.1510, aux.acc_seg: 70.5526, loss: 0.4740 2022-06-18 16:27:49,942 - mmseg - INFO - Iter [107250/160000] lr: 2.031e-05, eta: 3:29:21, time: 0.733, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3035, decode.acc_seg: 70.4616, aux.loss_ce: 0.1436, aux.acc_seg: 69.0524, loss: 0.4471 2022-06-18 16:28:25,963 - mmseg - INFO - Iter [107300/160000] lr: 2.029e-05, eta: 3:29:21, time: 0.720, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2890, decode.acc_seg: 71.0449, aux.loss_ce: 0.1381, aux.acc_seg: 69.7268, loss: 0.4271 2022-06-18 16:29:03,470 - mmseg - INFO - Iter [107350/160000] lr: 2.027e-05, eta: 3:29:21, time: 0.750, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2819, decode.acc_seg: 71.0119, aux.loss_ce: 0.1355, aux.acc_seg: 69.5462, loss: 0.4174 2022-06-18 16:29:42,189 - mmseg - INFO - Iter [107400/160000] lr: 2.025e-05, eta: 3:29:22, time: 0.774, data_time: 0.050, memory: 36048, decode.loss_ce: 0.3170, decode.acc_seg: 69.6024, aux.loss_ce: 0.1497, aux.acc_seg: 68.1277, loss: 0.4667 2022-06-18 16:30:20,293 - mmseg - INFO - Iter [107450/160000] lr: 2.023e-05, eta: 3:29:23, time: 0.762, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2966, decode.acc_seg: 70.3195, aux.loss_ce: 0.1415, aux.acc_seg: 69.0235, loss: 0.4380 2022-06-18 16:30:56,782 - mmseg - INFO - Iter [107500/160000] lr: 2.021e-05, eta: 3:29:23, time: 0.730, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3104, decode.acc_seg: 71.1501, aux.loss_ce: 0.1476, aux.acc_seg: 69.7149, loss: 0.4580 2022-06-18 16:31:33,509 - mmseg - INFO - Iter [107550/160000] lr: 2.019e-05, eta: 3:29:23, time: 0.734, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2946, decode.acc_seg: 70.6065, aux.loss_ce: 0.1432, aux.acc_seg: 69.1102, loss: 0.4378 2022-06-18 16:32:09,413 - mmseg - INFO - Iter [107600/160000] lr: 2.017e-05, eta: 3:29:23, time: 0.718, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3032, decode.acc_seg: 72.1665, aux.loss_ce: 0.1426, aux.acc_seg: 70.8890, loss: 0.4458 2022-06-18 16:32:47,170 - mmseg - INFO - Iter [107650/160000] lr: 2.016e-05, eta: 3:29:24, time: 0.756, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3042, decode.acc_seg: 70.8328, aux.loss_ce: 0.1454, aux.acc_seg: 69.4063, loss: 0.4496 2022-06-18 16:33:23,365 - mmseg - INFO - Iter [107700/160000] lr: 2.014e-05, eta: 3:29:23, time: 0.724, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3000, decode.acc_seg: 71.0916, aux.loss_ce: 0.1427, aux.acc_seg: 69.7047, loss: 0.4427 2022-06-18 16:33:59,863 - mmseg - INFO - Iter [107750/160000] lr: 2.012e-05, eta: 3:29:23, time: 0.730, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3103, decode.acc_seg: 71.7463, aux.loss_ce: 0.1465, aux.acc_seg: 70.2718, loss: 0.4568 2022-06-18 16:34:35,691 - mmseg - INFO - Iter [107800/160000] lr: 2.010e-05, eta: 3:29:23, time: 0.717, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3098, decode.acc_seg: 70.1843, aux.loss_ce: 0.1462, aux.acc_seg: 68.7933, loss: 0.4561 2022-06-18 16:35:11,042 - mmseg - INFO - Iter [107850/160000] lr: 2.008e-05, eta: 3:29:22, time: 0.707, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2954, decode.acc_seg: 70.7044, aux.loss_ce: 0.1396, aux.acc_seg: 69.3787, loss: 0.4350 2022-06-18 16:35:45,622 - mmseg - INFO - Iter [107900/160000] lr: 2.006e-05, eta: 3:29:21, time: 0.692, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3142, decode.acc_seg: 72.8336, aux.loss_ce: 0.1512, aux.acc_seg: 71.1672, loss: 0.4653 2022-06-18 16:36:21,851 - mmseg - INFO - Iter [107950/160000] lr: 2.004e-05, eta: 3:29:20, time: 0.725, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3058, decode.acc_seg: 70.3301, aux.loss_ce: 0.1466, aux.acc_seg: 68.8521, loss: 0.4524 2022-06-18 16:36:57,822 - mmseg - INFO - Saving checkpoint at 108000 iterations 2022-06-18 16:36:58,514 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 16:36:58,514 - mmseg - INFO - Iter [108000/160000] lr: 2.002e-05, eta: 3:29:20, time: 0.733, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2949, decode.acc_seg: 71.9783, aux.loss_ce: 0.1418, aux.acc_seg: 70.4606, loss: 0.4367 2022-06-18 16:37:34,718 - mmseg - INFO - Iter [108050/160000] lr: 2.000e-05, eta: 3:29:20, time: 0.724, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3186, decode.acc_seg: 70.0511, aux.loss_ce: 0.1510, aux.acc_seg: 68.4433, loss: 0.4696 2022-06-18 16:38:10,020 - mmseg - INFO - Iter [108100/160000] lr: 1.998e-05, eta: 3:29:19, time: 0.706, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3005, decode.acc_seg: 71.6777, aux.loss_ce: 0.1425, aux.acc_seg: 70.3255, loss: 0.4431 2022-06-18 16:38:46,779 - mmseg - INFO - Iter [108150/160000] lr: 1.996e-05, eta: 3:29:18, time: 0.735, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3133, decode.acc_seg: 71.9904, aux.loss_ce: 0.1487, aux.acc_seg: 70.5341, loss: 0.4621 2022-06-18 16:39:23,960 - mmseg - INFO - Iter [108200/160000] lr: 1.994e-05, eta: 3:29:18, time: 0.744, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3122, decode.acc_seg: 71.4262, aux.loss_ce: 0.1448, aux.acc_seg: 70.3114, loss: 0.4570 2022-06-18 16:39:59,954 - mmseg - INFO - Iter [108250/160000] lr: 1.992e-05, eta: 3:29:18, time: 0.720, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3052, decode.acc_seg: 70.6060, aux.loss_ce: 0.1430, aux.acc_seg: 69.3821, loss: 0.4482 2022-06-18 16:40:37,205 - mmseg - INFO - Iter [108300/160000] lr: 1.991e-05, eta: 3:29:17, time: 0.745, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3052, decode.acc_seg: 71.3199, aux.loss_ce: 0.1435, aux.acc_seg: 69.9024, loss: 0.4487 2022-06-18 16:41:13,899 - mmseg - INFO - Iter [108350/160000] lr: 1.989e-05, eta: 3:29:17, time: 0.734, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3060, decode.acc_seg: 70.9637, aux.loss_ce: 0.1454, aux.acc_seg: 69.5994, loss: 0.4514 2022-06-18 16:41:49,881 - mmseg - INFO - Iter [108400/160000] lr: 1.987e-05, eta: 3:29:16, time: 0.720, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3057, decode.acc_seg: 70.1043, aux.loss_ce: 0.1442, aux.acc_seg: 68.6997, loss: 0.4499 2022-06-18 16:42:26,792 - mmseg - INFO - Iter [108450/160000] lr: 1.985e-05, eta: 3:29:16, time: 0.738, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3143, decode.acc_seg: 72.2302, aux.loss_ce: 0.1477, aux.acc_seg: 70.7732, loss: 0.4620 2022-06-18 16:43:04,584 - mmseg - INFO - Iter [108500/160000] lr: 1.983e-05, eta: 3:29:16, time: 0.756, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3072, decode.acc_seg: 70.9481, aux.loss_ce: 0.1434, aux.acc_seg: 69.7433, loss: 0.4506 2022-06-18 16:43:41,183 - mmseg - INFO - Iter [108550/160000] lr: 1.981e-05, eta: 3:29:15, time: 0.732, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3015, decode.acc_seg: 71.0968, aux.loss_ce: 0.1422, aux.acc_seg: 69.6940, loss: 0.4437 2022-06-18 16:44:17,441 - mmseg - INFO - Iter [108600/160000] lr: 1.979e-05, eta: 3:29:14, time: 0.725, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3002, decode.acc_seg: 70.4145, aux.loss_ce: 0.1412, aux.acc_seg: 69.0145, loss: 0.4414 2022-06-18 16:44:55,491 - mmseg - INFO - Iter [108650/160000] lr: 1.977e-05, eta: 3:29:14, time: 0.761, data_time: 0.049, memory: 36048, decode.loss_ce: 0.3152, decode.acc_seg: 70.3108, aux.loss_ce: 0.1488, aux.acc_seg: 68.8820, loss: 0.4640 2022-06-18 16:45:32,030 - mmseg - INFO - Iter [108700/160000] lr: 1.975e-05, eta: 3:29:14, time: 0.731, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3040, decode.acc_seg: 71.8813, aux.loss_ce: 0.1432, aux.acc_seg: 70.6659, loss: 0.4472 2022-06-18 16:46:07,352 - mmseg - INFO - Iter [108750/160000] lr: 1.973e-05, eta: 3:29:12, time: 0.706, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3015, decode.acc_seg: 71.5033, aux.loss_ce: 0.1457, aux.acc_seg: 69.8111, loss: 0.4472 2022-06-18 16:46:44,277 - mmseg - INFO - Iter [108800/160000] lr: 1.971e-05, eta: 3:29:12, time: 0.739, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3028, decode.acc_seg: 71.9018, aux.loss_ce: 0.1430, aux.acc_seg: 70.4903, loss: 0.4458 2022-06-18 16:47:21,202 - mmseg - INFO - Iter [108850/160000] lr: 1.969e-05, eta: 3:29:11, time: 0.738, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3101, decode.acc_seg: 71.5066, aux.loss_ce: 0.1475, aux.acc_seg: 69.9442, loss: 0.4576 2022-06-18 16:47:57,888 - mmseg - INFO - Iter [108900/160000] lr: 1.967e-05, eta: 3:29:10, time: 0.734, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3148, decode.acc_seg: 71.3543, aux.loss_ce: 0.1505, aux.acc_seg: 69.6831, loss: 0.4654 2022-06-18 16:48:34,840 - mmseg - INFO - Iter [108950/160000] lr: 1.965e-05, eta: 3:29:09, time: 0.739, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3066, decode.acc_seg: 71.4202, aux.loss_ce: 0.1484, aux.acc_seg: 69.8188, loss: 0.4549 2022-06-18 16:48:46,826 - mmseg - INFO - Saving checkpoint at 109000 iterations 2022-06-18 16:48:47,506 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 16:48:47,506 - mmseg - INFO - Iter [109000/160000] lr: 1.964e-05, eta: 3:28:57, time: 0.254, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3086, decode.acc_seg: 72.1536, aux.loss_ce: 0.1490, aux.acc_seg: 70.5582, loss: 0.4576 2022-06-18 16:49:01,232 - mmseg - INFO - Iter [109050/160000] lr: 1.962e-05, eta: 3:28:46, time: 0.274, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3045, decode.acc_seg: 70.8385, aux.loss_ce: 0.1440, aux.acc_seg: 69.4722, loss: 0.4485 2022-06-18 16:49:12,928 - mmseg - INFO - Iter [109100/160000] lr: 1.960e-05, eta: 3:28:33, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3137, decode.acc_seg: 70.3105, aux.loss_ce: 0.1495, aux.acc_seg: 68.8870, loss: 0.4631 2022-06-18 16:49:24,571 - mmseg - INFO - Iter [109150/160000] lr: 1.958e-05, eta: 3:28:21, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2802, decode.acc_seg: 71.9664, aux.loss_ce: 0.1337, aux.acc_seg: 70.6171, loss: 0.4139 2022-06-18 16:49:36,005 - mmseg - INFO - Iter [109200/160000] lr: 1.956e-05, eta: 3:28:08, time: 0.229, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3077, decode.acc_seg: 72.4856, aux.loss_ce: 0.1453, aux.acc_seg: 71.1088, loss: 0.4529 2022-06-18 16:49:47,784 - mmseg - INFO - Iter [109250/160000] lr: 1.954e-05, eta: 3:27:55, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2948, decode.acc_seg: 71.2954, aux.loss_ce: 0.1391, aux.acc_seg: 69.9758, loss: 0.4339 2022-06-18 16:49:59,566 - mmseg - INFO - Iter [109300/160000] lr: 1.952e-05, eta: 3:27:43, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2876, decode.acc_seg: 71.2558, aux.loss_ce: 0.1358, aux.acc_seg: 69.9364, loss: 0.4235 2022-06-18 16:50:11,283 - mmseg - INFO - Iter [109350/160000] lr: 1.950e-05, eta: 3:27:30, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2959, decode.acc_seg: 70.6736, aux.loss_ce: 0.1413, aux.acc_seg: 69.2860, loss: 0.4372 2022-06-18 16:50:22,814 - mmseg - INFO - Iter [109400/160000] lr: 1.948e-05, eta: 3:27:18, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2969, decode.acc_seg: 71.0880, aux.loss_ce: 0.1418, aux.acc_seg: 69.5752, loss: 0.4387 2022-06-18 16:50:34,529 - mmseg - INFO - Iter [109450/160000] lr: 1.946e-05, eta: 3:27:05, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3086, decode.acc_seg: 71.6843, aux.loss_ce: 0.1456, aux.acc_seg: 70.3908, loss: 0.4542 2022-06-18 16:50:46,155 - mmseg - INFO - Iter [109500/160000] lr: 1.944e-05, eta: 3:26:52, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3036, decode.acc_seg: 71.0410, aux.loss_ce: 0.1445, aux.acc_seg: 69.6699, loss: 0.4481 2022-06-18 16:50:57,984 - mmseg - INFO - Iter [109550/160000] lr: 1.942e-05, eta: 3:26:40, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2890, decode.acc_seg: 70.7160, aux.loss_ce: 0.1409, aux.acc_seg: 69.0402, loss: 0.4299 2022-06-18 16:51:09,511 - mmseg - INFO - Iter [109600/160000] lr: 1.940e-05, eta: 3:26:27, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2954, decode.acc_seg: 71.0119, aux.loss_ce: 0.1401, aux.acc_seg: 69.8275, loss: 0.4356 2022-06-18 16:51:20,999 - mmseg - INFO - Iter [109650/160000] lr: 1.939e-05, eta: 3:26:15, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3078, decode.acc_seg: 71.9913, aux.loss_ce: 0.1448, aux.acc_seg: 70.6668, loss: 0.4526 2022-06-18 16:51:32,575 - mmseg - INFO - Iter [109700/160000] lr: 1.937e-05, eta: 3:26:02, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2935, decode.acc_seg: 70.7339, aux.loss_ce: 0.1399, aux.acc_seg: 69.4447, loss: 0.4334 2022-06-18 16:51:43,990 - mmseg - INFO - Iter [109750/160000] lr: 1.935e-05, eta: 3:25:49, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3022, decode.acc_seg: 70.9125, aux.loss_ce: 0.1430, aux.acc_seg: 69.5044, loss: 0.4451 2022-06-18 16:51:55,499 - mmseg - INFO - Iter [109800/160000] lr: 1.933e-05, eta: 3:25:37, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3095, decode.acc_seg: 70.6323, aux.loss_ce: 0.1484, aux.acc_seg: 69.0903, loss: 0.4579 2022-06-18 16:52:06,925 - mmseg - INFO - Iter [109850/160000] lr: 1.931e-05, eta: 3:25:24, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3107, decode.acc_seg: 71.3468, aux.loss_ce: 0.1480, aux.acc_seg: 69.8402, loss: 0.4587 2022-06-18 16:52:20,588 - mmseg - INFO - Iter [109900/160000] lr: 1.929e-05, eta: 3:25:12, time: 0.274, data_time: 0.049, memory: 36048, decode.loss_ce: 0.3345, decode.acc_seg: 70.5340, aux.loss_ce: 0.1581, aux.acc_seg: 69.0989, loss: 0.4926 2022-06-18 16:52:32,231 - mmseg - INFO - Iter [109950/160000] lr: 1.927e-05, eta: 3:25:00, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3218, decode.acc_seg: 71.0968, aux.loss_ce: 0.1541, aux.acc_seg: 69.4883, loss: 0.4760 2022-06-18 16:52:43,693 - mmseg - INFO - Saving checkpoint at 110000 iterations 2022-06-18 16:52:44,433 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 16:52:44,433 - mmseg - INFO - Iter [110000/160000] lr: 1.925e-05, eta: 3:24:47, time: 0.244, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3055, decode.acc_seg: 71.4570, aux.loss_ce: 0.1447, aux.acc_seg: 70.1505, loss: 0.4502 2022-06-18 16:52:55,940 - mmseg - INFO - Iter [110050/160000] lr: 1.923e-05, eta: 3:24:35, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2986, decode.acc_seg: 71.0437, aux.loss_ce: 0.1430, aux.acc_seg: 69.6959, loss: 0.4416 2022-06-18 16:53:07,592 - mmseg - INFO - Iter [110100/160000] lr: 1.921e-05, eta: 3:24:22, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3145, decode.acc_seg: 71.4525, aux.loss_ce: 0.1502, aux.acc_seg: 69.8690, loss: 0.4647 2022-06-18 16:53:19,221 - mmseg - INFO - Iter [110150/160000] lr: 1.919e-05, eta: 3:24:10, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3092, decode.acc_seg: 71.2354, aux.loss_ce: 0.1473, aux.acc_seg: 69.7044, loss: 0.4566 2022-06-18 16:53:31,052 - mmseg - INFO - Iter [110200/160000] lr: 1.917e-05, eta: 3:23:57, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2873, decode.acc_seg: 70.2367, aux.loss_ce: 0.1384, aux.acc_seg: 68.8494, loss: 0.4257 2022-06-18 16:53:42,715 - mmseg - INFO - Iter [110250/160000] lr: 1.915e-05, eta: 3:23:45, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3138, decode.acc_seg: 71.7508, aux.loss_ce: 0.1486, aux.acc_seg: 70.3385, loss: 0.4623 2022-06-18 16:53:54,515 - mmseg - INFO - Iter [110300/160000] lr: 1.914e-05, eta: 3:23:32, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2990, decode.acc_seg: 72.8952, aux.loss_ce: 0.1445, aux.acc_seg: 71.2077, loss: 0.4435 2022-06-18 16:54:06,202 - mmseg - INFO - Iter [110350/160000] lr: 1.912e-05, eta: 3:23:19, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2853, decode.acc_seg: 71.1790, aux.loss_ce: 0.1352, aux.acc_seg: 69.7185, loss: 0.4205 2022-06-18 16:54:17,843 - mmseg - INFO - Iter [110400/160000] lr: 1.910e-05, eta: 3:23:07, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2895, decode.acc_seg: 71.2700, aux.loss_ce: 0.1378, aux.acc_seg: 69.9920, loss: 0.4274 2022-06-18 16:54:29,378 - mmseg - INFO - Iter [110450/160000] lr: 1.908e-05, eta: 3:22:54, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2961, decode.acc_seg: 70.5108, aux.loss_ce: 0.1413, aux.acc_seg: 69.0570, loss: 0.4374 2022-06-18 16:54:40,930 - mmseg - INFO - Iter [110500/160000] lr: 1.906e-05, eta: 3:22:42, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3162, decode.acc_seg: 71.4215, aux.loss_ce: 0.1485, aux.acc_seg: 70.1670, loss: 0.4647 2022-06-18 16:54:52,594 - mmseg - INFO - Iter [110550/160000] lr: 1.904e-05, eta: 3:22:29, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3145, decode.acc_seg: 70.9144, aux.loss_ce: 0.1473, aux.acc_seg: 69.6860, loss: 0.4618 2022-06-18 16:55:04,153 - mmseg - INFO - Iter [110600/160000] lr: 1.902e-05, eta: 3:22:17, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2882, decode.acc_seg: 71.8594, aux.loss_ce: 0.1376, aux.acc_seg: 70.4984, loss: 0.4258 2022-06-18 16:55:15,774 - mmseg - INFO - Iter [110650/160000] lr: 1.900e-05, eta: 3:22:04, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3188, decode.acc_seg: 71.7510, aux.loss_ce: 0.1511, aux.acc_seg: 70.2712, loss: 0.4699 2022-06-18 16:55:27,502 - mmseg - INFO - Iter [110700/160000] lr: 1.898e-05, eta: 3:21:51, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2994, decode.acc_seg: 70.9392, aux.loss_ce: 0.1413, aux.acc_seg: 69.7566, loss: 0.4406 2022-06-18 16:55:39,394 - mmseg - INFO - Iter [110750/160000] lr: 1.896e-05, eta: 3:21:39, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3088, decode.acc_seg: 70.8008, aux.loss_ce: 0.1456, aux.acc_seg: 69.5894, loss: 0.4544 2022-06-18 16:55:50,892 - mmseg - INFO - Iter [110800/160000] lr: 1.894e-05, eta: 3:21:26, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3004, decode.acc_seg: 72.4661, aux.loss_ce: 0.1438, aux.acc_seg: 71.0935, loss: 0.4442 2022-06-18 16:56:02,725 - mmseg - INFO - Iter [110850/160000] lr: 1.892e-05, eta: 3:21:14, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3004, decode.acc_seg: 71.5251, aux.loss_ce: 0.1453, aux.acc_seg: 69.8122, loss: 0.4457 2022-06-18 16:56:14,442 - mmseg - INFO - Iter [110900/160000] lr: 1.890e-05, eta: 3:21:01, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3182, decode.acc_seg: 70.9245, aux.loss_ce: 0.1479, aux.acc_seg: 69.8292, loss: 0.4661 2022-06-18 16:56:26,258 - mmseg - INFO - Iter [110950/160000] lr: 1.888e-05, eta: 3:20:49, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3074, decode.acc_seg: 70.3869, aux.loss_ce: 0.1473, aux.acc_seg: 68.8626, loss: 0.4548 2022-06-18 16:56:37,812 - mmseg - INFO - Saving checkpoint at 111000 iterations 2022-06-18 16:56:38,521 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 16:56:38,521 - mmseg - INFO - Iter [111000/160000] lr: 1.887e-05, eta: 3:20:37, time: 0.246, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2994, decode.acc_seg: 71.3198, aux.loss_ce: 0.1433, aux.acc_seg: 69.9565, loss: 0.4427 2022-06-18 16:56:50,014 - mmseg - INFO - Iter [111050/160000] lr: 1.885e-05, eta: 3:20:24, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3055, decode.acc_seg: 72.2064, aux.loss_ce: 0.1470, aux.acc_seg: 70.5667, loss: 0.4525 2022-06-18 16:57:01,887 - mmseg - INFO - Iter [111100/160000] lr: 1.883e-05, eta: 3:20:11, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3072, decode.acc_seg: 70.6100, aux.loss_ce: 0.1476, aux.acc_seg: 69.0004, loss: 0.4548 2022-06-18 16:57:15,659 - mmseg - INFO - Iter [111150/160000] lr: 1.881e-05, eta: 3:20:00, time: 0.276, data_time: 0.049, memory: 36048, decode.loss_ce: 0.2885, decode.acc_seg: 70.5182, aux.loss_ce: 0.1365, aux.acc_seg: 69.0845, loss: 0.4251 2022-06-18 16:57:27,371 - mmseg - INFO - Iter [111200/160000] lr: 1.879e-05, eta: 3:19:47, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3079, decode.acc_seg: 70.9816, aux.loss_ce: 0.1468, aux.acc_seg: 69.5917, loss: 0.4547 2022-06-18 16:57:39,284 - mmseg - INFO - Iter [111250/160000] lr: 1.877e-05, eta: 3:19:35, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2937, decode.acc_seg: 71.9036, aux.loss_ce: 0.1397, aux.acc_seg: 70.4783, loss: 0.4334 2022-06-18 16:57:50,928 - mmseg - INFO - Iter [111300/160000] lr: 1.875e-05, eta: 3:19:22, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2955, decode.acc_seg: 71.1455, aux.loss_ce: 0.1411, aux.acc_seg: 69.7678, loss: 0.4366 2022-06-18 16:58:02,389 - mmseg - INFO - Iter [111350/160000] lr: 1.873e-05, eta: 3:19:10, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3023, decode.acc_seg: 72.2483, aux.loss_ce: 0.1438, aux.acc_seg: 70.7868, loss: 0.4462 2022-06-18 16:58:14,212 - mmseg - INFO - Iter [111400/160000] lr: 1.871e-05, eta: 3:18:57, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3116, decode.acc_seg: 70.6921, aux.loss_ce: 0.1476, aux.acc_seg: 69.3244, loss: 0.4592 2022-06-18 16:58:25,971 - mmseg - INFO - Iter [111450/160000] lr: 1.869e-05, eta: 3:18:45, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2964, decode.acc_seg: 71.1475, aux.loss_ce: 0.1404, aux.acc_seg: 69.7052, loss: 0.4368 2022-06-18 16:58:37,511 - mmseg - INFO - Iter [111500/160000] lr: 1.867e-05, eta: 3:18:32, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3235, decode.acc_seg: 72.0074, aux.loss_ce: 0.1524, aux.acc_seg: 70.5472, loss: 0.4759 2022-06-18 16:58:49,079 - mmseg - INFO - Iter [111550/160000] lr: 1.865e-05, eta: 3:18:19, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2963, decode.acc_seg: 71.6512, aux.loss_ce: 0.1398, aux.acc_seg: 70.1262, loss: 0.4361 2022-06-18 16:59:00,675 - mmseg - INFO - Iter [111600/160000] lr: 1.863e-05, eta: 3:18:07, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2995, decode.acc_seg: 71.0871, aux.loss_ce: 0.1406, aux.acc_seg: 69.7469, loss: 0.4401 2022-06-18 16:59:12,440 - mmseg - INFO - Iter [111650/160000] lr: 1.862e-05, eta: 3:17:54, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3008, decode.acc_seg: 71.4438, aux.loss_ce: 0.1454, aux.acc_seg: 69.7898, loss: 0.4462 2022-06-18 16:59:24,148 - mmseg - INFO - Iter [111700/160000] lr: 1.860e-05, eta: 3:17:42, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2799, decode.acc_seg: 70.8285, aux.loss_ce: 0.1364, aux.acc_seg: 69.0166, loss: 0.4163 2022-06-18 16:59:35,951 - mmseg - INFO - Iter [111750/160000] lr: 1.858e-05, eta: 3:17:29, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3042, decode.acc_seg: 72.5461, aux.loss_ce: 0.1447, aux.acc_seg: 71.2195, loss: 0.4488 2022-06-18 16:59:47,725 - mmseg - INFO - Iter [111800/160000] lr: 1.856e-05, eta: 3:17:17, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2998, decode.acc_seg: 70.7143, aux.loss_ce: 0.1446, aux.acc_seg: 69.2148, loss: 0.4444 2022-06-18 16:59:59,361 - mmseg - INFO - Iter [111850/160000] lr: 1.854e-05, eta: 3:17:04, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2986, decode.acc_seg: 70.2763, aux.loss_ce: 0.1429, aux.acc_seg: 68.7706, loss: 0.4415 2022-06-18 17:00:10,857 - mmseg - INFO - Iter [111900/160000] lr: 1.852e-05, eta: 3:16:52, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3021, decode.acc_seg: 70.3138, aux.loss_ce: 0.1435, aux.acc_seg: 68.9092, loss: 0.4456 2022-06-18 17:00:22,364 - mmseg - INFO - Iter [111950/160000] lr: 1.850e-05, eta: 3:16:39, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2871, decode.acc_seg: 70.9749, aux.loss_ce: 0.1379, aux.acc_seg: 69.3778, loss: 0.4250 2022-06-18 17:00:34,091 - mmseg - INFO - Saving checkpoint at 112000 iterations 2022-06-18 17:00:34,856 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 17:00:34,856 - mmseg - INFO - Iter [112000/160000] lr: 1.848e-05, eta: 3:16:27, time: 0.250, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2755, decode.acc_seg: 71.6701, aux.loss_ce: 0.1317, aux.acc_seg: 70.2391, loss: 0.4072 2022-06-18 17:00:53,055 - mmseg - INFO - per class results: 2022-06-18 17:00:53,061 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 73.43 | 87.81 | | building | 79.32 | 90.31 | | sky | 93.74 | 97.29 | | floor | 78.77 | 89.03 | | tree | 71.98 | 84.51 | | ceiling | 80.89 | 88.03 | | road | 80.1 | 86.16 | | bed | 82.67 | 93.14 | | windowpane | 57.88 | 75.48 | | grass | 64.62 | 81.56 | | cabinet | 56.07 | 67.55 | | sidewalk | 58.06 | 79.76 | | person | 76.05 | 90.58 | | earth | 31.46 | 44.09 | | door | 40.1 | 55.43 | | table | 50.61 | 71.85 | | mountain | 49.92 | 67.19 | | plant | 47.58 | 62.11 | | curtain | 67.0 | 80.72 | | chair | 47.71 | 63.3 | | car | 78.37 | 90.18 | | water | 47.48 | 60.79 | | painting | 65.62 | 84.53 | | sofa | 57.27 | 76.86 | | shelf | 37.47 | 54.79 | | house | 45.61 | 60.74 | | sea | 46.13 | 73.34 | | mirror | 57.29 | 64.78 | | rug | 62.79 | 73.43 | | field | 32.74 | 47.25 | | armchair | 36.06 | 52.96 | | seat | 54.57 | 66.12 | | fence | 39.23 | 52.92 | | desk | 43.77 | 63.79 | | rock | 36.5 | 57.58 | | wardrobe | 54.07 | 65.88 | | lamp | 52.7 | 66.74 | | bathtub | 70.61 | 77.71 | | railing | 27.17 | 42.43 | | cushion | 47.7 | 60.29 | | base | 24.07 | 31.69 | | box | 17.64 | 26.1 | | column | 37.5 | 44.64 | | signboard | 29.97 | 41.33 | | chest of drawers | 36.53 | 51.43 | | counter | 25.47 | 31.67 | | sand | 30.59 | 54.37 | | sink | 62.05 | 71.01 | | skyscraper | 46.53 | 56.01 | | fireplace | 67.2 | 82.05 | | refrigerator | 65.11 | 71.13 | | grandstand | 31.83 | 61.01 | | path | 22.35 | 34.76 | | stairs | 22.44 | 25.73 | | runway | 71.31 | 92.37 | | case | 33.1 | 47.96 | | pool table | 92.43 | 95.91 | | pillow | 50.34 | 63.05 | | screen door | 54.54 | 70.91 | | stairway | 28.02 | 38.99 | | river | 11.34 | 21.75 | | bridge | 43.2 | 54.95 | | bookcase | 43.69 | 65.23 | | blind | 32.29 | 35.99 | | coffee table | 51.99 | 73.12 | | toilet | 79.08 | 88.64 | | flower | 37.09 | 53.7 | | book | 42.46 | 59.75 | | hill | 11.54 | 20.78 | | bench | 37.45 | 46.5 | | countertop | 51.49 | 69.98 | | stove | 63.92 | 77.48 | | palm | 43.23 | 67.79 | | kitchen island | 25.45 | 44.42 | | computer | 51.22 | 64.34 | | swivel chair | 38.12 | 55.85 | | boat | 30.81 | 40.63 | | bar | 17.83 | 22.4 | | arcade machine | 16.61 | 17.41 | | hovel | 19.21 | 29.03 | | bus | 80.46 | 83.97 | | towel | 41.42 | 53.69 | | light | 47.7 | 54.15 | | truck | 9.57 | 16.85 | | tower | 25.89 | 44.59 | | chandelier | 59.45 | 71.17 | | awning | 24.33 | 32.19 | | streetlight | 13.75 | 16.77 | | booth | 45.13 | 46.28 | | television receiver | 58.03 | 71.52 | | airplane | 50.08 | 64.41 | | dirt track | 8.42 | 19.18 | | apparel | 31.24 | 44.91 | | pole | 13.27 | 17.46 | | land | 3.75 | 8.47 | | bannister | 5.62 | 7.59 | | escalator | 13.06 | 17.7 | | ottoman | 40.36 | 56.92 | | bottle | 30.82 | 46.38 | | buffet | 35.97 | 45.95 | | poster | 23.45 | 30.26 | | stage | 17.81 | 26.5 | | van | 37.09 | 45.69 | | ship | 44.23 | 65.07 | | fountain | 3.36 | 3.66 | | conveyer belt | 62.3 | 81.5 | | canopy | 23.37 | 29.84 | | washer | 71.91 | 74.19 | | plaything | 18.59 | 29.17 | | swimming pool | 72.07 | 77.5 | | stool | 22.49 | 28.03 | | barrel | 30.63 | 42.28 | | basket | 19.42 | 29.31 | | waterfall | 61.89 | 67.08 | | tent | 87.26 | 99.03 | | bag | 5.37 | 6.55 | | minibike | 49.73 | 58.57 | | cradle | 78.74 | 93.95 | | oven | 24.33 | 28.42 | | ball | 29.24 | 30.55 | | food | 47.2 | 60.02 | | step | 5.24 | 6.37 | | tank | 34.45 | 40.74 | | trade name | 10.08 | 10.33 | | microwave | 36.7 | 41.28 | | pot | 25.08 | 28.81 | | animal | 53.01 | 59.78 | | bicycle | 38.03 | 65.55 | | lake | 59.92 | 63.68 | | dishwasher | 47.34 | 59.09 | | screen | 71.03 | 87.45 | | blanket | 7.49 | 8.65 | | sculpture | 37.86 | 44.07 | | hood | 49.16 | 55.0 | | sconce | 34.3 | 42.2 | | vase | 26.46 | 41.35 | | traffic light | 16.91 | 25.61 | | tray | 3.4 | 9.63 | | ashcan | 31.86 | 35.87 | | fan | 48.99 | 67.69 | | pier | 19.27 | 44.1 | | crt screen | 0.04 | 0.06 | | plate | 44.19 | 56.93 | | monitor | 33.15 | 46.87 | | bulletin board | 32.46 | 37.8 | | shower | 0.0 | 0.0 | | radiator | 53.61 | 62.02 | | glass | 6.51 | 7.87 | | clock | 20.39 | 22.49 | | flag | 28.6 | 30.93 | +---------------------+-------+-------+ 2022-06-18 17:00:53,062 - mmseg - INFO - Summary: 2022-06-18 17:00:53,062 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 79.85 | 41.48 | 52.54 | +-------+-------+-------+ 2022-06-18 17:00:53,068 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 17:00:53,068 - mmseg - INFO - Iter(val) [250] aAcc: 0.7985, mIoU: 0.4148, mAcc: 0.5254, IoU.wall: 0.7343, IoU.building: 0.7932, IoU.sky: 0.9374, IoU.floor: 0.7877, IoU.tree: 0.7198, IoU.ceiling: 0.8089, IoU.road: 0.8010, IoU.bed : 0.8267, IoU.windowpane: 0.5788, IoU.grass: 0.6462, IoU.cabinet: 0.5607, IoU.sidewalk: 0.5806, IoU.person: 0.7605, IoU.earth: 0.3146, IoU.door: 0.4010, IoU.table: 0.5061, IoU.mountain: 0.4992, IoU.plant: 0.4758, IoU.curtain: 0.6700, IoU.chair: 0.4771, IoU.car: 0.7837, IoU.water: 0.4748, IoU.painting: 0.6562, IoU.sofa: 0.5727, IoU.shelf: 0.3747, IoU.house: 0.4561, IoU.sea: 0.4613, IoU.mirror: 0.5729, IoU.rug: 0.6279, IoU.field: 0.3274, IoU.armchair: 0.3606, IoU.seat: 0.5457, IoU.fence: 0.3923, IoU.desk: 0.4377, IoU.rock: 0.3650, IoU.wardrobe: 0.5407, IoU.lamp: 0.5270, IoU.bathtub: 0.7061, IoU.railing: 0.2717, IoU.cushion: 0.4770, IoU.base: 0.2407, IoU.box: 0.1764, IoU.column: 0.3750, IoU.signboard: 0.2997, IoU.chest of drawers: 0.3653, IoU.counter: 0.2547, IoU.sand: 0.3059, IoU.sink: 0.6205, IoU.skyscraper: 0.4653, IoU.fireplace: 0.6720, IoU.refrigerator: 0.6511, IoU.grandstand: 0.3183, IoU.path: 0.2235, IoU.stairs: 0.2244, IoU.runway: 0.7131, IoU.case: 0.3310, IoU.pool table: 0.9243, IoU.pillow: 0.5034, IoU.screen door: 0.5454, IoU.stairway: 0.2802, IoU.river: 0.1134, IoU.bridge: 0.4320, IoU.bookcase: 0.4369, IoU.blind: 0.3229, IoU.coffee table: 0.5199, IoU.toilet: 0.7908, IoU.flower: 0.3709, IoU.book: 0.4246, IoU.hill: 0.1154, IoU.bench: 0.3745, IoU.countertop: 0.5149, IoU.stove: 0.6392, IoU.palm: 0.4323, IoU.kitchen island: 0.2545, IoU.computer: 0.5122, IoU.swivel chair: 0.3812, IoU.boat: 0.3081, IoU.bar: 0.1783, IoU.arcade machine: 0.1661, IoU.hovel: 0.1921, IoU.bus: 0.8046, IoU.towel: 0.4142, IoU.light: 0.4770, IoU.truck: 0.0957, IoU.tower: 0.2589, IoU.chandelier: 0.5945, IoU.awning: 0.2433, IoU.streetlight: 0.1375, IoU.booth: 0.4513, IoU.television receiver: 0.5803, IoU.airplane: 0.5008, IoU.dirt track: 0.0842, IoU.apparel: 0.3124, IoU.pole: 0.1327, IoU.land: 0.0375, IoU.bannister: 0.0562, IoU.escalator: 0.1306, IoU.ottoman: 0.4036, IoU.bottle: 0.3082, IoU.buffet: 0.3597, IoU.poster: 0.2345, IoU.stage: 0.1781, IoU.van: 0.3709, IoU.ship: 0.4423, IoU.fountain: 0.0336, IoU.conveyer belt: 0.6230, IoU.canopy: 0.2337, IoU.washer: 0.7191, IoU.plaything: 0.1859, IoU.swimming pool: 0.7207, IoU.stool: 0.2249, IoU.barrel: 0.3063, IoU.basket: 0.1942, IoU.waterfall: 0.6189, IoU.tent: 0.8726, IoU.bag: 0.0537, IoU.minibike: 0.4973, IoU.cradle: 0.7874, IoU.oven: 0.2433, IoU.ball: 0.2924, IoU.food: 0.4720, IoU.step: 0.0524, IoU.tank: 0.3445, IoU.trade name: 0.1008, IoU.microwave: 0.3670, IoU.pot: 0.2508, IoU.animal: 0.5301, IoU.bicycle: 0.3803, IoU.lake: 0.5992, IoU.dishwasher: 0.4734, IoU.screen: 0.7103, IoU.blanket: 0.0749, IoU.sculpture: 0.3786, IoU.hood: 0.4916, IoU.sconce: 0.3430, IoU.vase: 0.2646, IoU.traffic light: 0.1691, IoU.tray: 0.0340, IoU.ashcan: 0.3186, IoU.fan: 0.4899, IoU.pier: 0.1927, IoU.crt screen: 0.0004, IoU.plate: 0.4419, IoU.monitor: 0.3315, IoU.bulletin board: 0.3246, IoU.shower: 0.0000, IoU.radiator: 0.5361, IoU.glass: 0.0651, IoU.clock: 0.2039, IoU.flag: 0.2860, Acc.wall: 0.8781, Acc.building: 0.9031, Acc.sky: 0.9729, Acc.floor: 0.8903, Acc.tree: 0.8451, Acc.ceiling: 0.8803, Acc.road: 0.8616, Acc.bed : 0.9314, Acc.windowpane: 0.7548, Acc.grass: 0.8156, Acc.cabinet: 0.6755, Acc.sidewalk: 0.7976, Acc.person: 0.9058, Acc.earth: 0.4409, Acc.door: 0.5543, Acc.table: 0.7185, Acc.mountain: 0.6719, Acc.plant: 0.6211, Acc.curtain: 0.8072, Acc.chair: 0.6330, Acc.car: 0.9018, Acc.water: 0.6079, Acc.painting: 0.8453, Acc.sofa: 0.7686, Acc.shelf: 0.5479, Acc.house: 0.6074, Acc.sea: 0.7334, Acc.mirror: 0.6478, Acc.rug: 0.7343, Acc.field: 0.4725, Acc.armchair: 0.5296, Acc.seat: 0.6612, Acc.fence: 0.5292, Acc.desk: 0.6379, Acc.rock: 0.5758, Acc.wardrobe: 0.6588, Acc.lamp: 0.6674, Acc.bathtub: 0.7771, Acc.railing: 0.4243, Acc.cushion: 0.6029, Acc.base: 0.3169, Acc.box: 0.2610, Acc.column: 0.4464, Acc.signboard: 0.4133, Acc.chest of drawers: 0.5143, Acc.counter: 0.3167, Acc.sand: 0.5437, Acc.sink: 0.7101, Acc.skyscraper: 0.5601, Acc.fireplace: 0.8205, Acc.refrigerator: 0.7113, Acc.grandstand: 0.6101, Acc.path: 0.3476, Acc.stairs: 0.2573, Acc.runway: 0.9237, Acc.case: 0.4796, Acc.pool table: 0.9591, Acc.pillow: 0.6305, Acc.screen door: 0.7091, Acc.stairway: 0.3899, Acc.river: 0.2175, Acc.bridge: 0.5495, Acc.bookcase: 0.6523, Acc.blind: 0.3599, Acc.coffee table: 0.7312, Acc.toilet: 0.8864, Acc.flower: 0.5370, Acc.book: 0.5975, Acc.hill: 0.2078, Acc.bench: 0.4650, Acc.countertop: 0.6998, Acc.stove: 0.7748, Acc.palm: 0.6779, Acc.kitchen island: 0.4442, Acc.computer: 0.6434, Acc.swivel chair: 0.5585, Acc.boat: 0.4063, Acc.bar: 0.2240, Acc.arcade machine: 0.1741, Acc.hovel: 0.2903, Acc.bus: 0.8397, Acc.towel: 0.5369, Acc.light: 0.5415, Acc.truck: 0.1685, Acc.tower: 0.4459, Acc.chandelier: 0.7117, Acc.awning: 0.3219, Acc.streetlight: 0.1677, Acc.booth: 0.4628, Acc.television receiver: 0.7152, Acc.airplane: 0.6441, Acc.dirt track: 0.1918, Acc.apparel: 0.4491, Acc.pole: 0.1746, Acc.land: 0.0847, Acc.bannister: 0.0759, Acc.escalator: 0.1770, Acc.ottoman: 0.5692, Acc.bottle: 0.4638, Acc.buffet: 0.4595, Acc.poster: 0.3026, Acc.stage: 0.2650, Acc.van: 0.4569, Acc.ship: 0.6507, Acc.fountain: 0.0366, Acc.conveyer belt: 0.8150, Acc.canopy: 0.2984, Acc.washer: 0.7419, Acc.plaything: 0.2917, Acc.swimming pool: 0.7750, Acc.stool: 0.2803, Acc.barrel: 0.4228, Acc.basket: 0.2931, Acc.waterfall: 0.6708, Acc.tent: 0.9903, Acc.bag: 0.0655, Acc.minibike: 0.5857, Acc.cradle: 0.9395, Acc.oven: 0.2842, Acc.ball: 0.3055, Acc.food: 0.6002, Acc.step: 0.0637, Acc.tank: 0.4074, Acc.trade name: 0.1033, Acc.microwave: 0.4128, Acc.pot: 0.2881, Acc.animal: 0.5978, Acc.bicycle: 0.6555, Acc.lake: 0.6368, Acc.dishwasher: 0.5909, Acc.screen: 0.8745, Acc.blanket: 0.0865, Acc.sculpture: 0.4407, Acc.hood: 0.5500, Acc.sconce: 0.4220, Acc.vase: 0.4135, Acc.traffic light: 0.2561, Acc.tray: 0.0963, Acc.ashcan: 0.3587, Acc.fan: 0.6769, Acc.pier: 0.4410, Acc.crt screen: 0.0006, Acc.plate: 0.5693, Acc.monitor: 0.4687, Acc.bulletin board: 0.3780, Acc.shower: 0.0000, Acc.radiator: 0.6202, Acc.glass: 0.0787, Acc.clock: 0.2249, Acc.flag: 0.3093 2022-06-18 17:01:04,802 - mmseg - INFO - Iter [112050/160000] lr: 1.846e-05, eta: 3:16:22, time: 0.599, data_time: 0.368, memory: 36048, decode.loss_ce: 0.2891, decode.acc_seg: 70.8204, aux.loss_ce: 0.1366, aux.acc_seg: 69.6011, loss: 0.4257 2022-06-18 17:01:16,439 - mmseg - INFO - Iter [112100/160000] lr: 1.844e-05, eta: 3:16:10, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2938, decode.acc_seg: 70.9671, aux.loss_ce: 0.1416, aux.acc_seg: 69.5057, loss: 0.4354 2022-06-18 17:01:28,310 - mmseg - INFO - Iter [112150/160000] lr: 1.842e-05, eta: 3:15:57, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2956, decode.acc_seg: 70.8051, aux.loss_ce: 0.1412, aux.acc_seg: 69.5833, loss: 0.4368 2022-06-18 17:01:40,304 - mmseg - INFO - Iter [112200/160000] lr: 1.840e-05, eta: 3:15:45, time: 0.240, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2920, decode.acc_seg: 71.1878, aux.loss_ce: 0.1406, aux.acc_seg: 69.6898, loss: 0.4326 2022-06-18 17:01:51,847 - mmseg - INFO - Iter [112250/160000] lr: 1.838e-05, eta: 3:15:32, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3151, decode.acc_seg: 71.5469, aux.loss_ce: 0.1502, aux.acc_seg: 69.8374, loss: 0.4654 2022-06-18 17:02:03,608 - mmseg - INFO - Iter [112300/160000] lr: 1.837e-05, eta: 3:15:20, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2987, decode.acc_seg: 71.4752, aux.loss_ce: 0.1406, aux.acc_seg: 70.1461, loss: 0.4393 2022-06-18 17:02:15,428 - mmseg - INFO - Iter [112350/160000] lr: 1.835e-05, eta: 3:15:07, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3029, decode.acc_seg: 72.0430, aux.loss_ce: 0.1438, aux.acc_seg: 70.7505, loss: 0.4468 2022-06-18 17:02:27,033 - mmseg - INFO - Iter [112400/160000] lr: 1.833e-05, eta: 3:14:55, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3048, decode.acc_seg: 70.7720, aux.loss_ce: 0.1439, aux.acc_seg: 69.4123, loss: 0.4487 2022-06-18 17:02:40,700 - mmseg - INFO - Iter [112450/160000] lr: 1.831e-05, eta: 3:14:43, time: 0.274, data_time: 0.050, memory: 36048, decode.loss_ce: 0.2848, decode.acc_seg: 70.8398, aux.loss_ce: 0.1383, aux.acc_seg: 69.2307, loss: 0.4231 2022-06-18 17:02:52,511 - mmseg - INFO - Iter [112500/160000] lr: 1.829e-05, eta: 3:14:30, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2967, decode.acc_seg: 71.8066, aux.loss_ce: 0.1412, aux.acc_seg: 70.3487, loss: 0.4379 2022-06-18 17:03:04,508 - mmseg - INFO - Iter [112550/160000] lr: 1.827e-05, eta: 3:14:18, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2817, decode.acc_seg: 71.8622, aux.loss_ce: 0.1353, aux.acc_seg: 70.4880, loss: 0.4170 2022-06-18 17:03:16,228 - mmseg - INFO - Iter [112600/160000] lr: 1.825e-05, eta: 3:14:05, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3069, decode.acc_seg: 70.2136, aux.loss_ce: 0.1482, aux.acc_seg: 68.6491, loss: 0.4551 2022-06-18 17:03:27,887 - mmseg - INFO - Iter [112650/160000] lr: 1.823e-05, eta: 3:13:53, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3091, decode.acc_seg: 71.4985, aux.loss_ce: 0.1467, aux.acc_seg: 70.1557, loss: 0.4558 2022-06-18 17:03:39,582 - mmseg - INFO - Iter [112700/160000] lr: 1.821e-05, eta: 3:13:40, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2852, decode.acc_seg: 72.5399, aux.loss_ce: 0.1375, aux.acc_seg: 70.8840, loss: 0.4227 2022-06-18 17:03:51,306 - mmseg - INFO - Iter [112750/160000] lr: 1.819e-05, eta: 3:13:28, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2957, decode.acc_seg: 71.0192, aux.loss_ce: 0.1399, aux.acc_seg: 69.6819, loss: 0.4356 2022-06-18 17:04:03,060 - mmseg - INFO - Iter [112800/160000] lr: 1.817e-05, eta: 3:13:15, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2894, decode.acc_seg: 70.4811, aux.loss_ce: 0.1370, aux.acc_seg: 69.1850, loss: 0.4263 2022-06-18 17:04:14,966 - mmseg - INFO - Iter [112850/160000] lr: 1.815e-05, eta: 3:13:03, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3022, decode.acc_seg: 72.5123, aux.loss_ce: 0.1425, aux.acc_seg: 71.1434, loss: 0.4447 2022-06-18 17:04:26,626 - mmseg - INFO - Iter [112900/160000] lr: 1.813e-05, eta: 3:12:50, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2841, decode.acc_seg: 72.1563, aux.loss_ce: 0.1377, aux.acc_seg: 70.5517, loss: 0.4218 2022-06-18 17:04:38,290 - mmseg - INFO - Iter [112950/160000] lr: 1.811e-05, eta: 3:12:38, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2889, decode.acc_seg: 70.2964, aux.loss_ce: 0.1384, aux.acc_seg: 68.7498, loss: 0.4273 2022-06-18 17:04:49,924 - mmseg - INFO - Saving checkpoint at 113000 iterations 2022-06-18 17:04:50,647 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 17:04:50,648 - mmseg - INFO - Iter [113000/160000] lr: 1.810e-05, eta: 3:12:26, time: 0.247, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2759, decode.acc_seg: 72.3688, aux.loss_ce: 0.1317, aux.acc_seg: 71.1045, loss: 0.4076 2022-06-18 17:05:02,248 - mmseg - INFO - Iter [113050/160000] lr: 1.808e-05, eta: 3:12:13, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2994, decode.acc_seg: 72.2418, aux.loss_ce: 0.1442, aux.acc_seg: 70.7839, loss: 0.4435 2022-06-18 17:05:14,320 - mmseg - INFO - Iter [113100/160000] lr: 1.806e-05, eta: 3:12:01, time: 0.241, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3038, decode.acc_seg: 72.1482, aux.loss_ce: 0.1434, aux.acc_seg: 70.8209, loss: 0.4472 2022-06-18 17:05:25,950 - mmseg - INFO - Iter [113150/160000] lr: 1.804e-05, eta: 3:11:48, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2816, decode.acc_seg: 71.2844, aux.loss_ce: 0.1343, aux.acc_seg: 69.9042, loss: 0.4159 2022-06-18 17:05:37,617 - mmseg - INFO - Iter [113200/160000] lr: 1.802e-05, eta: 3:11:36, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2811, decode.acc_seg: 71.4563, aux.loss_ce: 0.1353, aux.acc_seg: 70.0535, loss: 0.4164 2022-06-18 17:05:49,443 - mmseg - INFO - Iter [113250/160000] lr: 1.800e-05, eta: 3:11:23, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2859, decode.acc_seg: 71.1021, aux.loss_ce: 0.1394, aux.acc_seg: 69.4011, loss: 0.4253 2022-06-18 17:06:01,623 - mmseg - INFO - Iter [113300/160000] lr: 1.798e-05, eta: 3:11:11, time: 0.244, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2956, decode.acc_seg: 71.3250, aux.loss_ce: 0.1411, aux.acc_seg: 69.8582, loss: 0.4367 2022-06-18 17:06:13,247 - mmseg - INFO - Iter [113350/160000] lr: 1.796e-05, eta: 3:10:58, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2979, decode.acc_seg: 71.0094, aux.loss_ce: 0.1441, aux.acc_seg: 69.5017, loss: 0.4420 2022-06-18 17:06:24,824 - mmseg - INFO - Iter [113400/160000] lr: 1.794e-05, eta: 3:10:46, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3036, decode.acc_seg: 72.0411, aux.loss_ce: 0.1465, aux.acc_seg: 70.5616, loss: 0.4501 2022-06-18 17:06:36,650 - mmseg - INFO - Iter [113450/160000] lr: 1.792e-05, eta: 3:10:33, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2897, decode.acc_seg: 71.6974, aux.loss_ce: 0.1400, aux.acc_seg: 70.2134, loss: 0.4297 2022-06-18 17:06:48,157 - mmseg - INFO - Iter [113500/160000] lr: 1.790e-05, eta: 3:10:21, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3046, decode.acc_seg: 72.2913, aux.loss_ce: 0.1452, aux.acc_seg: 70.8662, loss: 0.4498 2022-06-18 17:06:59,739 - mmseg - INFO - Iter [113550/160000] lr: 1.788e-05, eta: 3:10:08, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3177, decode.acc_seg: 70.6110, aux.loss_ce: 0.1498, aux.acc_seg: 69.2027, loss: 0.4674 2022-06-18 17:07:11,187 - mmseg - INFO - Iter [113600/160000] lr: 1.786e-05, eta: 3:09:55, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3165, decode.acc_seg: 71.1429, aux.loss_ce: 0.1506, aux.acc_seg: 69.6846, loss: 0.4671 2022-06-18 17:07:23,031 - mmseg - INFO - Iter [113650/160000] lr: 1.785e-05, eta: 3:09:43, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3073, decode.acc_seg: 70.1292, aux.loss_ce: 0.1452, aux.acc_seg: 68.6510, loss: 0.4525 2022-06-18 17:07:36,815 - mmseg - INFO - Iter [113700/160000] lr: 1.783e-05, eta: 3:09:31, time: 0.276, data_time: 0.049, memory: 36048, decode.loss_ce: 0.3065, decode.acc_seg: 71.5203, aux.loss_ce: 0.1473, aux.acc_seg: 69.9875, loss: 0.4538 2022-06-18 17:07:48,800 - mmseg - INFO - Iter [113750/160000] lr: 1.781e-05, eta: 3:09:19, time: 0.240, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2957, decode.acc_seg: 72.1923, aux.loss_ce: 0.1418, aux.acc_seg: 70.6756, loss: 0.4375 2022-06-18 17:08:00,584 - mmseg - INFO - Iter [113800/160000] lr: 1.779e-05, eta: 3:09:06, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2878, decode.acc_seg: 70.7533, aux.loss_ce: 0.1359, aux.acc_seg: 69.5054, loss: 0.4236 2022-06-18 17:08:12,573 - mmseg - INFO - Iter [113850/160000] lr: 1.777e-05, eta: 3:08:54, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2904, decode.acc_seg: 71.3408, aux.loss_ce: 0.1383, aux.acc_seg: 70.0397, loss: 0.4287 2022-06-18 17:08:24,322 - mmseg - INFO - Iter [113900/160000] lr: 1.775e-05, eta: 3:08:41, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2947, decode.acc_seg: 71.3656, aux.loss_ce: 0.1425, aux.acc_seg: 69.7777, loss: 0.4372 2022-06-18 17:08:36,281 - mmseg - INFO - Iter [113950/160000] lr: 1.773e-05, eta: 3:08:29, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3008, decode.acc_seg: 70.4421, aux.loss_ce: 0.1437, aux.acc_seg: 69.0391, loss: 0.4445 2022-06-18 17:08:47,833 - mmseg - INFO - Saving checkpoint at 114000 iterations 2022-06-18 17:08:48,557 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 17:08:48,557 - mmseg - INFO - Iter [114000/160000] lr: 1.771e-05, eta: 3:08:17, time: 0.246, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2878, decode.acc_seg: 70.6619, aux.loss_ce: 0.1385, aux.acc_seg: 69.2095, loss: 0.4263 2022-06-18 17:09:00,184 - mmseg - INFO - Iter [114050/160000] lr: 1.769e-05, eta: 3:08:04, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2826, decode.acc_seg: 71.9432, aux.loss_ce: 0.1360, aux.acc_seg: 70.5679, loss: 0.4186 2022-06-18 17:09:11,972 - mmseg - INFO - Iter [114100/160000] lr: 1.767e-05, eta: 3:07:52, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2937, decode.acc_seg: 72.3520, aux.loss_ce: 0.1387, aux.acc_seg: 71.1600, loss: 0.4324 2022-06-18 17:09:23,745 - mmseg - INFO - Iter [114150/160000] lr: 1.765e-05, eta: 3:07:39, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2780, decode.acc_seg: 71.8339, aux.loss_ce: 0.1340, aux.acc_seg: 70.4963, loss: 0.4120 2022-06-18 17:09:35,461 - mmseg - INFO - Iter [114200/160000] lr: 1.763e-05, eta: 3:07:27, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2773, decode.acc_seg: 72.2527, aux.loss_ce: 0.1329, aux.acc_seg: 70.9154, loss: 0.4102 2022-06-18 17:09:47,213 - mmseg - INFO - Iter [114250/160000] lr: 1.761e-05, eta: 3:07:14, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3041, decode.acc_seg: 71.8727, aux.loss_ce: 0.1452, aux.acc_seg: 70.3981, loss: 0.4493 2022-06-18 17:09:58,982 - mmseg - INFO - Iter [114300/160000] lr: 1.760e-05, eta: 3:07:02, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3045, decode.acc_seg: 72.1593, aux.loss_ce: 0.1450, aux.acc_seg: 70.7357, loss: 0.4495 2022-06-18 17:10:10,670 - mmseg - INFO - Iter [114350/160000] lr: 1.758e-05, eta: 3:06:49, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3096, decode.acc_seg: 71.5673, aux.loss_ce: 0.1482, aux.acc_seg: 70.0391, loss: 0.4578 2022-06-18 17:10:22,311 - mmseg - INFO - Iter [114400/160000] lr: 1.756e-05, eta: 3:06:37, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2873, decode.acc_seg: 71.5372, aux.loss_ce: 0.1381, aux.acc_seg: 70.1275, loss: 0.4254 2022-06-18 17:10:34,197 - mmseg - INFO - Iter [114450/160000] lr: 1.754e-05, eta: 3:06:24, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2902, decode.acc_seg: 71.5384, aux.loss_ce: 0.1393, aux.acc_seg: 69.9956, loss: 0.4296 2022-06-18 17:10:45,798 - mmseg - INFO - Iter [114500/160000] lr: 1.752e-05, eta: 3:06:12, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2972, decode.acc_seg: 70.5093, aux.loss_ce: 0.1449, aux.acc_seg: 68.8748, loss: 0.4421 2022-06-18 17:10:57,556 - mmseg - INFO - Iter [114550/160000] lr: 1.750e-05, eta: 3:05:59, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2845, decode.acc_seg: 72.3484, aux.loss_ce: 0.1356, aux.acc_seg: 70.9278, loss: 0.4201 2022-06-18 17:11:09,267 - mmseg - INFO - Iter [114600/160000] lr: 1.748e-05, eta: 3:05:47, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2861, decode.acc_seg: 70.9177, aux.loss_ce: 0.1394, aux.acc_seg: 69.3376, loss: 0.4255 2022-06-18 17:11:20,776 - mmseg - INFO - Iter [114650/160000] lr: 1.746e-05, eta: 3:05:34, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2941, decode.acc_seg: 72.9432, aux.loss_ce: 0.1418, aux.acc_seg: 71.3895, loss: 0.4358 2022-06-18 17:11:32,741 - mmseg - INFO - Iter [114700/160000] lr: 1.744e-05, eta: 3:05:22, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3006, decode.acc_seg: 71.8922, aux.loss_ce: 0.1452, aux.acc_seg: 70.3088, loss: 0.4458 2022-06-18 17:11:44,479 - mmseg - INFO - Iter [114750/160000] lr: 1.742e-05, eta: 3:05:09, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3003, decode.acc_seg: 71.5525, aux.loss_ce: 0.1433, aux.acc_seg: 70.2206, loss: 0.4436 2022-06-18 17:11:56,364 - mmseg - INFO - Iter [114800/160000] lr: 1.740e-05, eta: 3:04:57, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2998, decode.acc_seg: 70.8785, aux.loss_ce: 0.1444, aux.acc_seg: 69.3875, loss: 0.4442 2022-06-18 17:12:08,092 - mmseg - INFO - Iter [114850/160000] lr: 1.738e-05, eta: 3:04:44, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2906, decode.acc_seg: 71.8852, aux.loss_ce: 0.1376, aux.acc_seg: 70.5482, loss: 0.4282 2022-06-18 17:12:20,018 - mmseg - INFO - Iter [114900/160000] lr: 1.736e-05, eta: 3:04:32, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3049, decode.acc_seg: 70.4954, aux.loss_ce: 0.1444, aux.acc_seg: 69.1927, loss: 0.4492 2022-06-18 17:12:33,904 - mmseg - INFO - Iter [114950/160000] lr: 1.734e-05, eta: 3:04:20, time: 0.278, data_time: 0.048, memory: 36048, decode.loss_ce: 0.2998, decode.acc_seg: 72.2722, aux.loss_ce: 0.1438, aux.acc_seg: 70.7546, loss: 0.4435 2022-06-18 17:12:45,757 - mmseg - INFO - Saving checkpoint at 115000 iterations 2022-06-18 17:12:46,558 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 17:12:46,558 - mmseg - INFO - Iter [115000/160000] lr: 1.733e-05, eta: 3:04:08, time: 0.253, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2922, decode.acc_seg: 72.5737, aux.loss_ce: 0.1380, aux.acc_seg: 71.3260, loss: 0.4302 2022-06-18 17:12:58,156 - mmseg - INFO - Iter [115050/160000] lr: 1.731e-05, eta: 3:03:56, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2959, decode.acc_seg: 72.7237, aux.loss_ce: 0.1425, aux.acc_seg: 71.0965, loss: 0.4384 2022-06-18 17:13:09,588 - mmseg - INFO - Iter [115100/160000] lr: 1.729e-05, eta: 3:03:43, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2998, decode.acc_seg: 71.6685, aux.loss_ce: 0.1435, aux.acc_seg: 70.1993, loss: 0.4432 2022-06-18 17:13:21,145 - mmseg - INFO - Iter [115150/160000] lr: 1.727e-05, eta: 3:03:30, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2844, decode.acc_seg: 72.7905, aux.loss_ce: 0.1366, aux.acc_seg: 71.2932, loss: 0.4210 2022-06-18 17:13:32,811 - mmseg - INFO - Iter [115200/160000] lr: 1.725e-05, eta: 3:03:18, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2982, decode.acc_seg: 71.2780, aux.loss_ce: 0.1427, aux.acc_seg: 69.8268, loss: 0.4409 2022-06-18 17:13:44,275 - mmseg - INFO - Iter [115250/160000] lr: 1.723e-05, eta: 3:03:05, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2927, decode.acc_seg: 71.0865, aux.loss_ce: 0.1402, aux.acc_seg: 69.6561, loss: 0.4329 2022-06-18 17:13:56,086 - mmseg - INFO - Iter [115300/160000] lr: 1.721e-05, eta: 3:02:53, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2847, decode.acc_seg: 72.0982, aux.loss_ce: 0.1346, aux.acc_seg: 70.6692, loss: 0.4194 2022-06-18 17:14:07,919 - mmseg - INFO - Iter [115350/160000] lr: 1.719e-05, eta: 3:02:40, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2839, decode.acc_seg: 71.5426, aux.loss_ce: 0.1368, aux.acc_seg: 70.0851, loss: 0.4207 2022-06-18 17:14:19,599 - mmseg - INFO - Iter [115400/160000] lr: 1.717e-05, eta: 3:02:28, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2939, decode.acc_seg: 70.9011, aux.loss_ce: 0.1414, aux.acc_seg: 69.5047, loss: 0.4353 2022-06-18 17:14:30,891 - mmseg - INFO - Iter [115450/160000] lr: 1.715e-05, eta: 3:02:15, time: 0.226, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3028, decode.acc_seg: 72.0719, aux.loss_ce: 0.1437, aux.acc_seg: 70.7864, loss: 0.4465 2022-06-18 17:14:42,306 - mmseg - INFO - Iter [115500/160000] lr: 1.713e-05, eta: 3:02:03, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2871, decode.acc_seg: 70.9632, aux.loss_ce: 0.1380, aux.acc_seg: 69.5447, loss: 0.4251 2022-06-18 17:14:54,054 - mmseg - INFO - Iter [115550/160000] lr: 1.711e-05, eta: 3:01:50, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2879, decode.acc_seg: 70.6015, aux.loss_ce: 0.1384, aux.acc_seg: 69.0541, loss: 0.4263 2022-06-18 17:15:05,980 - mmseg - INFO - Iter [115600/160000] lr: 1.709e-05, eta: 3:01:38, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2972, decode.acc_seg: 71.0934, aux.loss_ce: 0.1431, aux.acc_seg: 69.5713, loss: 0.4403 2022-06-18 17:15:17,740 - mmseg - INFO - Iter [115650/160000] lr: 1.708e-05, eta: 3:01:25, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2951, decode.acc_seg: 72.1111, aux.loss_ce: 0.1427, aux.acc_seg: 70.4164, loss: 0.4378 2022-06-18 17:15:29,552 - mmseg - INFO - Iter [115700/160000] lr: 1.706e-05, eta: 3:01:13, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3088, decode.acc_seg: 70.9167, aux.loss_ce: 0.1490, aux.acc_seg: 69.3652, loss: 0.4578 2022-06-18 17:15:41,202 - mmseg - INFO - Iter [115750/160000] lr: 1.704e-05, eta: 3:01:00, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3051, decode.acc_seg: 70.7856, aux.loss_ce: 0.1461, aux.acc_seg: 69.1708, loss: 0.4511 2022-06-18 17:15:52,722 - mmseg - INFO - Iter [115800/160000] lr: 1.702e-05, eta: 3:00:48, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2855, decode.acc_seg: 72.5500, aux.loss_ce: 0.1365, aux.acc_seg: 71.1061, loss: 0.4219 2022-06-18 17:16:04,358 - mmseg - INFO - Iter [115850/160000] lr: 1.700e-05, eta: 3:00:35, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3057, decode.acc_seg: 71.1221, aux.loss_ce: 0.1438, aux.acc_seg: 69.8576, loss: 0.4495 2022-06-18 17:16:16,007 - mmseg - INFO - Iter [115900/160000] lr: 1.698e-05, eta: 3:00:23, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3030, decode.acc_seg: 72.3899, aux.loss_ce: 0.1438, aux.acc_seg: 70.8573, loss: 0.4468 2022-06-18 17:16:27,663 - mmseg - INFO - Iter [115950/160000] lr: 1.696e-05, eta: 3:00:10, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3126, decode.acc_seg: 71.3748, aux.loss_ce: 0.1501, aux.acc_seg: 69.8311, loss: 0.4627 2022-06-18 17:16:39,433 - mmseg - INFO - Saving checkpoint at 116000 iterations 2022-06-18 17:16:40,172 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 17:16:40,173 - mmseg - INFO - Iter [116000/160000] lr: 1.694e-05, eta: 2:59:58, time: 0.250, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2850, decode.acc_seg: 70.8241, aux.loss_ce: 0.1363, aux.acc_seg: 69.4027, loss: 0.4214 2022-06-18 17:16:51,983 - mmseg - INFO - Iter [116050/160000] lr: 1.692e-05, eta: 2:59:46, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2913, decode.acc_seg: 71.4167, aux.loss_ce: 0.1361, aux.acc_seg: 70.0439, loss: 0.4274 2022-06-18 17:17:03,660 - mmseg - INFO - Iter [116100/160000] lr: 1.690e-05, eta: 2:59:33, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3054, decode.acc_seg: 70.1392, aux.loss_ce: 0.1460, aux.acc_seg: 68.7584, loss: 0.4514 2022-06-18 17:17:15,326 - mmseg - INFO - Iter [116150/160000] lr: 1.688e-05, eta: 2:59:21, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2821, decode.acc_seg: 71.2969, aux.loss_ce: 0.1347, aux.acc_seg: 69.9379, loss: 0.4168 2022-06-18 17:17:29,132 - mmseg - INFO - Iter [116200/160000] lr: 1.686e-05, eta: 2:59:09, time: 0.276, data_time: 0.050, memory: 36048, decode.loss_ce: 0.3083, decode.acc_seg: 70.2727, aux.loss_ce: 0.1468, aux.acc_seg: 68.7150, loss: 0.4551 2022-06-18 17:17:40,960 - mmseg - INFO - Iter [116250/160000] lr: 1.684e-05, eta: 2:58:57, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2975, decode.acc_seg: 71.7053, aux.loss_ce: 0.1418, aux.acc_seg: 70.4186, loss: 0.4393 2022-06-18 17:17:52,760 - mmseg - INFO - Iter [116300/160000] lr: 1.683e-05, eta: 2:58:44, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2832, decode.acc_seg: 71.0633, aux.loss_ce: 0.1383, aux.acc_seg: 69.5937, loss: 0.4215 2022-06-18 17:18:04,402 - mmseg - INFO - Iter [116350/160000] lr: 1.681e-05, eta: 2:58:32, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2803, decode.acc_seg: 71.6912, aux.loss_ce: 0.1356, aux.acc_seg: 70.1440, loss: 0.4159 2022-06-18 17:18:16,303 - mmseg - INFO - Iter [116400/160000] lr: 1.679e-05, eta: 2:58:19, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2914, decode.acc_seg: 70.3121, aux.loss_ce: 0.1395, aux.acc_seg: 68.8754, loss: 0.4309 2022-06-18 17:18:28,128 - mmseg - INFO - Iter [116450/160000] lr: 1.677e-05, eta: 2:58:07, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3071, decode.acc_seg: 71.9159, aux.loss_ce: 0.1444, aux.acc_seg: 70.5265, loss: 0.4514 2022-06-18 17:18:40,067 - mmseg - INFO - Iter [116500/160000] lr: 1.675e-05, eta: 2:57:54, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2897, decode.acc_seg: 72.4173, aux.loss_ce: 0.1399, aux.acc_seg: 70.8328, loss: 0.4296 2022-06-18 17:18:51,897 - mmseg - INFO - Iter [116550/160000] lr: 1.673e-05, eta: 2:57:42, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2671, decode.acc_seg: 70.5547, aux.loss_ce: 0.1309, aux.acc_seg: 68.9565, loss: 0.3981 2022-06-18 17:19:03,713 - mmseg - INFO - Iter [116600/160000] lr: 1.671e-05, eta: 2:57:30, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3011, decode.acc_seg: 70.5267, aux.loss_ce: 0.1442, aux.acc_seg: 69.1126, loss: 0.4453 2022-06-18 17:19:15,521 - mmseg - INFO - Iter [116650/160000] lr: 1.669e-05, eta: 2:57:17, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2811, decode.acc_seg: 71.6484, aux.loss_ce: 0.1355, aux.acc_seg: 70.3365, loss: 0.4166 2022-06-18 17:19:27,041 - mmseg - INFO - Iter [116700/160000] lr: 1.667e-05, eta: 2:57:05, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2744, decode.acc_seg: 71.5054, aux.loss_ce: 0.1301, aux.acc_seg: 70.3671, loss: 0.4045 2022-06-18 17:19:38,788 - mmseg - INFO - Iter [116750/160000] lr: 1.665e-05, eta: 2:56:52, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3050, decode.acc_seg: 70.5707, aux.loss_ce: 0.1439, aux.acc_seg: 69.1843, loss: 0.4489 2022-06-18 17:19:50,487 - mmseg - INFO - Iter [116800/160000] lr: 1.663e-05, eta: 2:56:40, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2892, decode.acc_seg: 71.5666, aux.loss_ce: 0.1396, aux.acc_seg: 70.0860, loss: 0.4287 2022-06-18 17:20:02,238 - mmseg - INFO - Iter [116850/160000] lr: 1.661e-05, eta: 2:56:27, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3134, decode.acc_seg: 70.7747, aux.loss_ce: 0.1505, aux.acc_seg: 69.2617, loss: 0.4640 2022-06-18 17:20:13,810 - mmseg - INFO - Iter [116900/160000] lr: 1.659e-05, eta: 2:56:15, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2901, decode.acc_seg: 71.3725, aux.loss_ce: 0.1382, aux.acc_seg: 70.0511, loss: 0.4283 2022-06-18 17:20:25,410 - mmseg - INFO - Iter [116950/160000] lr: 1.657e-05, eta: 2:56:02, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2687, decode.acc_seg: 70.3085, aux.loss_ce: 0.1306, aux.acc_seg: 68.7842, loss: 0.3993 2022-06-18 17:20:37,122 - mmseg - INFO - Saving checkpoint at 117000 iterations 2022-06-18 17:20:37,853 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 17:20:37,853 - mmseg - INFO - Iter [117000/160000] lr: 1.656e-05, eta: 2:55:50, time: 0.249, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2855, decode.acc_seg: 72.4955, aux.loss_ce: 0.1364, aux.acc_seg: 71.1307, loss: 0.4220 2022-06-18 17:20:49,479 - mmseg - INFO - Iter [117050/160000] lr: 1.654e-05, eta: 2:55:37, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2976, decode.acc_seg: 72.5817, aux.loss_ce: 0.1432, aux.acc_seg: 71.0702, loss: 0.4409 2022-06-18 17:21:01,122 - mmseg - INFO - Iter [117100/160000] lr: 1.652e-05, eta: 2:55:25, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2939, decode.acc_seg: 71.1331, aux.loss_ce: 0.1407, aux.acc_seg: 69.8351, loss: 0.4347 2022-06-18 17:21:12,982 - mmseg - INFO - Iter [117150/160000] lr: 1.650e-05, eta: 2:55:12, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2750, decode.acc_seg: 71.9348, aux.loss_ce: 0.1332, aux.acc_seg: 70.5004, loss: 0.4083 2022-06-18 17:21:24,643 - mmseg - INFO - Iter [117200/160000] lr: 1.648e-05, eta: 2:55:00, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3173, decode.acc_seg: 71.8656, aux.loss_ce: 0.1529, aux.acc_seg: 70.2860, loss: 0.4702 2022-06-18 17:21:36,367 - mmseg - INFO - Iter [117250/160000] lr: 1.646e-05, eta: 2:54:47, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3048, decode.acc_seg: 71.2875, aux.loss_ce: 0.1436, aux.acc_seg: 70.0895, loss: 0.4484 2022-06-18 17:21:48,083 - mmseg - INFO - Iter [117300/160000] lr: 1.644e-05, eta: 2:54:35, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3068, decode.acc_seg: 72.1810, aux.loss_ce: 0.1457, aux.acc_seg: 70.8343, loss: 0.4525 2022-06-18 17:21:59,952 - mmseg - INFO - Iter [117350/160000] lr: 1.642e-05, eta: 2:54:23, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2937, decode.acc_seg: 72.1038, aux.loss_ce: 0.1417, aux.acc_seg: 70.6384, loss: 0.4354 2022-06-18 17:22:11,544 - mmseg - INFO - Iter [117400/160000] lr: 1.640e-05, eta: 2:54:10, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3000, decode.acc_seg: 70.4608, aux.loss_ce: 0.1469, aux.acc_seg: 68.8143, loss: 0.4469 2022-06-18 17:22:23,124 - mmseg - INFO - Iter [117450/160000] lr: 1.638e-05, eta: 2:53:58, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2857, decode.acc_seg: 70.5923, aux.loss_ce: 0.1376, aux.acc_seg: 69.2895, loss: 0.4234 2022-06-18 17:22:36,918 - mmseg - INFO - Iter [117500/160000] lr: 1.636e-05, eta: 2:53:46, time: 0.276, data_time: 0.050, memory: 36048, decode.loss_ce: 0.2818, decode.acc_seg: 71.4657, aux.loss_ce: 0.1372, aux.acc_seg: 69.7519, loss: 0.4190 2022-06-18 17:22:48,528 - mmseg - INFO - Iter [117550/160000] lr: 1.634e-05, eta: 2:53:33, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2945, decode.acc_seg: 70.7239, aux.loss_ce: 0.1412, aux.acc_seg: 69.1491, loss: 0.4357 2022-06-18 17:23:00,360 - mmseg - INFO - Iter [117600/160000] lr: 1.632e-05, eta: 2:53:21, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2671, decode.acc_seg: 72.6955, aux.loss_ce: 0.1282, aux.acc_seg: 71.2724, loss: 0.3953 2022-06-18 17:23:11,952 - mmseg - INFO - Iter [117650/160000] lr: 1.631e-05, eta: 2:53:08, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2750, decode.acc_seg: 70.7356, aux.loss_ce: 0.1353, aux.acc_seg: 69.1554, loss: 0.4102 2022-06-18 17:23:23,809 - mmseg - INFO - Iter [117700/160000] lr: 1.629e-05, eta: 2:52:56, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2832, decode.acc_seg: 72.1433, aux.loss_ce: 0.1361, aux.acc_seg: 70.7235, loss: 0.4193 2022-06-18 17:23:35,433 - mmseg - INFO - Iter [117750/160000] lr: 1.627e-05, eta: 2:52:44, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2828, decode.acc_seg: 71.3353, aux.loss_ce: 0.1366, aux.acc_seg: 69.8097, loss: 0.4194 2022-06-18 17:23:47,408 - mmseg - INFO - Iter [117800/160000] lr: 1.625e-05, eta: 2:52:31, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2952, decode.acc_seg: 73.8826, aux.loss_ce: 0.1430, aux.acc_seg: 72.3033, loss: 0.4383 2022-06-18 17:23:59,042 - mmseg - INFO - Iter [117850/160000] lr: 1.623e-05, eta: 2:52:19, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2931, decode.acc_seg: 71.5623, aux.loss_ce: 0.1399, aux.acc_seg: 70.1544, loss: 0.4330 2022-06-18 17:24:10,665 - mmseg - INFO - Iter [117900/160000] lr: 1.621e-05, eta: 2:52:06, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3013, decode.acc_seg: 71.9434, aux.loss_ce: 0.1417, aux.acc_seg: 70.6635, loss: 0.4430 2022-06-18 17:24:22,875 - mmseg - INFO - Iter [117950/160000] lr: 1.619e-05, eta: 2:51:54, time: 0.245, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2709, decode.acc_seg: 70.6162, aux.loss_ce: 0.1321, aux.acc_seg: 69.0330, loss: 0.4031 2022-06-18 17:24:34,550 - mmseg - INFO - Saving checkpoint at 118000 iterations 2022-06-18 17:24:35,271 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 17:24:35,271 - mmseg - INFO - Iter [118000/160000] lr: 1.617e-05, eta: 2:51:42, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2699, decode.acc_seg: 72.1226, aux.loss_ce: 0.1317, aux.acc_seg: 70.7299, loss: 0.4015 2022-06-18 17:24:47,188 - mmseg - INFO - Iter [118050/160000] lr: 1.615e-05, eta: 2:51:29, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2735, decode.acc_seg: 70.7820, aux.loss_ce: 0.1312, aux.acc_seg: 69.4936, loss: 0.4047 2022-06-18 17:24:58,832 - mmseg - INFO - Iter [118100/160000] lr: 1.613e-05, eta: 2:51:17, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2971, decode.acc_seg: 72.5994, aux.loss_ce: 0.1436, aux.acc_seg: 71.0534, loss: 0.4407 2022-06-18 17:25:10,684 - mmseg - INFO - Iter [118150/160000] lr: 1.611e-05, eta: 2:51:04, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2971, decode.acc_seg: 70.1789, aux.loss_ce: 0.1428, aux.acc_seg: 68.7286, loss: 0.4399 2022-06-18 17:25:22,584 - mmseg - INFO - Iter [118200/160000] lr: 1.609e-05, eta: 2:50:52, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2708, decode.acc_seg: 71.5540, aux.loss_ce: 0.1312, aux.acc_seg: 70.1346, loss: 0.4021 2022-06-18 17:25:34,032 - mmseg - INFO - Iter [118250/160000] lr: 1.607e-05, eta: 2:50:39, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3167, decode.acc_seg: 70.0606, aux.loss_ce: 0.1500, aux.acc_seg: 68.6261, loss: 0.4666 2022-06-18 17:25:45,576 - mmseg - INFO - Iter [118300/160000] lr: 1.606e-05, eta: 2:50:27, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2792, decode.acc_seg: 72.7424, aux.loss_ce: 0.1325, aux.acc_seg: 71.3533, loss: 0.4118 2022-06-18 17:25:57,157 - mmseg - INFO - Iter [118350/160000] lr: 1.604e-05, eta: 2:50:14, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2900, decode.acc_seg: 72.2359, aux.loss_ce: 0.1398, aux.acc_seg: 70.7329, loss: 0.4298 2022-06-18 17:26:08,771 - mmseg - INFO - Iter [118400/160000] lr: 1.602e-05, eta: 2:50:02, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2777, decode.acc_seg: 70.6769, aux.loss_ce: 0.1335, aux.acc_seg: 69.2800, loss: 0.4112 2022-06-18 17:26:20,305 - mmseg - INFO - Iter [118450/160000] lr: 1.600e-05, eta: 2:49:49, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2765, decode.acc_seg: 72.1964, aux.loss_ce: 0.1325, aux.acc_seg: 70.6182, loss: 0.4090 2022-06-18 17:26:32,153 - mmseg - INFO - Iter [118500/160000] lr: 1.598e-05, eta: 2:49:37, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2880, decode.acc_seg: 71.8690, aux.loss_ce: 0.1383, aux.acc_seg: 70.3770, loss: 0.4263 2022-06-18 17:26:43,739 - mmseg - INFO - Iter [118550/160000] lr: 1.596e-05, eta: 2:49:25, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3004, decode.acc_seg: 72.6585, aux.loss_ce: 0.1449, aux.acc_seg: 71.0183, loss: 0.4453 2022-06-18 17:26:55,436 - mmseg - INFO - Iter [118600/160000] lr: 1.594e-05, eta: 2:49:12, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2898, decode.acc_seg: 71.6077, aux.loss_ce: 0.1398, aux.acc_seg: 70.0595, loss: 0.4296 2022-06-18 17:27:07,215 - mmseg - INFO - Iter [118650/160000] lr: 1.592e-05, eta: 2:49:00, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2999, decode.acc_seg: 70.4637, aux.loss_ce: 0.1430, aux.acc_seg: 69.1092, loss: 0.4429 2022-06-18 17:27:18,964 - mmseg - INFO - Iter [118700/160000] lr: 1.590e-05, eta: 2:48:47, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2685, decode.acc_seg: 71.3690, aux.loss_ce: 0.1283, aux.acc_seg: 70.1004, loss: 0.3968 2022-06-18 17:27:32,800 - mmseg - INFO - Iter [118750/160000] lr: 1.588e-05, eta: 2:48:35, time: 0.277, data_time: 0.050, memory: 36048, decode.loss_ce: 0.2670, decode.acc_seg: 70.9582, aux.loss_ce: 0.1283, aux.acc_seg: 69.4809, loss: 0.3952 2022-06-18 17:27:44,490 - mmseg - INFO - Iter [118800/160000] lr: 1.586e-05, eta: 2:48:23, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2913, decode.acc_seg: 71.9916, aux.loss_ce: 0.1393, aux.acc_seg: 70.4167, loss: 0.4306 2022-06-18 17:27:56,214 - mmseg - INFO - Iter [118850/160000] lr: 1.584e-05, eta: 2:48:11, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3030, decode.acc_seg: 71.4365, aux.loss_ce: 0.1421, aux.acc_seg: 70.1665, loss: 0.4451 2022-06-18 17:28:07,631 - mmseg - INFO - Iter [118900/160000] lr: 1.582e-05, eta: 2:47:58, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2880, decode.acc_seg: 72.3365, aux.loss_ce: 0.1393, aux.acc_seg: 70.8246, loss: 0.4273 2022-06-18 17:28:19,113 - mmseg - INFO - Iter [118950/160000] lr: 1.580e-05, eta: 2:47:45, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2802, decode.acc_seg: 71.5389, aux.loss_ce: 0.1348, aux.acc_seg: 70.0276, loss: 0.4150 2022-06-18 17:28:30,840 - mmseg - INFO - Saving checkpoint at 119000 iterations 2022-06-18 17:28:31,568 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 17:28:31,568 - mmseg - INFO - Iter [119000/160000] lr: 1.579e-05, eta: 2:47:33, time: 0.249, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2945, decode.acc_seg: 71.9239, aux.loss_ce: 0.1423, aux.acc_seg: 70.4059, loss: 0.4368 2022-06-18 17:28:43,245 - mmseg - INFO - Iter [119050/160000] lr: 1.577e-05, eta: 2:47:21, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3065, decode.acc_seg: 71.7756, aux.loss_ce: 0.1457, aux.acc_seg: 70.4468, loss: 0.4523 2022-06-18 17:28:54,978 - mmseg - INFO - Iter [119100/160000] lr: 1.575e-05, eta: 2:47:08, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2792, decode.acc_seg: 71.4220, aux.loss_ce: 0.1346, aux.acc_seg: 70.0289, loss: 0.4138 2022-06-18 17:29:06,679 - mmseg - INFO - Iter [119150/160000] lr: 1.573e-05, eta: 2:46:56, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2912, decode.acc_seg: 72.5504, aux.loss_ce: 0.1405, aux.acc_seg: 71.0067, loss: 0.4317 2022-06-18 17:29:18,293 - mmseg - INFO - Iter [119200/160000] lr: 1.571e-05, eta: 2:46:43, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2832, decode.acc_seg: 72.4114, aux.loss_ce: 0.1347, aux.acc_seg: 71.1560, loss: 0.4179 2022-06-18 17:29:29,844 - mmseg - INFO - Iter [119250/160000] lr: 1.569e-05, eta: 2:46:31, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2884, decode.acc_seg: 72.3970, aux.loss_ce: 0.1401, aux.acc_seg: 70.8656, loss: 0.4285 2022-06-18 17:29:41,521 - mmseg - INFO - Iter [119300/160000] lr: 1.567e-05, eta: 2:46:18, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2796, decode.acc_seg: 71.6516, aux.loss_ce: 0.1356, aux.acc_seg: 70.1212, loss: 0.4152 2022-06-18 17:29:53,254 - mmseg - INFO - Iter [119350/160000] lr: 1.565e-05, eta: 2:46:06, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2867, decode.acc_seg: 72.0692, aux.loss_ce: 0.1393, aux.acc_seg: 70.4999, loss: 0.4260 2022-06-18 17:30:05,263 - mmseg - INFO - Iter [119400/160000] lr: 1.563e-05, eta: 2:45:54, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2920, decode.acc_seg: 71.0869, aux.loss_ce: 0.1401, aux.acc_seg: 69.4378, loss: 0.4321 2022-06-18 17:30:16,787 - mmseg - INFO - Iter [119450/160000] lr: 1.561e-05, eta: 2:45:41, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2766, decode.acc_seg: 72.6232, aux.loss_ce: 0.1351, aux.acc_seg: 71.0521, loss: 0.4117 2022-06-18 17:30:28,202 - mmseg - INFO - Iter [119500/160000] lr: 1.559e-05, eta: 2:45:29, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2904, decode.acc_seg: 72.3178, aux.loss_ce: 0.1382, aux.acc_seg: 70.9733, loss: 0.4286 2022-06-18 17:30:39,945 - mmseg - INFO - Iter [119550/160000] lr: 1.557e-05, eta: 2:45:16, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2872, decode.acc_seg: 70.0916, aux.loss_ce: 0.1386, aux.acc_seg: 68.6545, loss: 0.4258 2022-06-18 17:30:51,619 - mmseg - INFO - Iter [119600/160000] lr: 1.555e-05, eta: 2:45:04, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2792, decode.acc_seg: 72.0303, aux.loss_ce: 0.1376, aux.acc_seg: 70.3155, loss: 0.4168 2022-06-18 17:31:03,311 - mmseg - INFO - Iter [119650/160000] lr: 1.554e-05, eta: 2:44:51, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2764, decode.acc_seg: 70.3755, aux.loss_ce: 0.1344, aux.acc_seg: 68.9733, loss: 0.4108 2022-06-18 17:31:15,032 - mmseg - INFO - Iter [119700/160000] lr: 1.552e-05, eta: 2:44:39, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2834, decode.acc_seg: 70.6952, aux.loss_ce: 0.1379, aux.acc_seg: 69.1122, loss: 0.4213 2022-06-18 17:31:26,654 - mmseg - INFO - Iter [119750/160000] lr: 1.550e-05, eta: 2:44:26, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2788, decode.acc_seg: 70.7425, aux.loss_ce: 0.1354, aux.acc_seg: 69.3072, loss: 0.4142 2022-06-18 17:31:38,163 - mmseg - INFO - Iter [119800/160000] lr: 1.548e-05, eta: 2:44:14, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3014, decode.acc_seg: 71.4440, aux.loss_ce: 0.1456, aux.acc_seg: 69.7404, loss: 0.4469 2022-06-18 17:31:49,839 - mmseg - INFO - Iter [119850/160000] lr: 1.546e-05, eta: 2:44:01, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2842, decode.acc_seg: 72.1160, aux.loss_ce: 0.1380, aux.acc_seg: 70.7332, loss: 0.4222 2022-06-18 17:32:01,444 - mmseg - INFO - Iter [119900/160000] lr: 1.544e-05, eta: 2:43:49, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2863, decode.acc_seg: 71.5629, aux.loss_ce: 0.1417, aux.acc_seg: 69.8435, loss: 0.4280 2022-06-18 17:32:13,065 - mmseg - INFO - Iter [119950/160000] lr: 1.542e-05, eta: 2:43:37, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3035, decode.acc_seg: 71.3111, aux.loss_ce: 0.1473, aux.acc_seg: 69.7470, loss: 0.4507 2022-06-18 17:32:26,870 - mmseg - INFO - Saving checkpoint at 120000 iterations 2022-06-18 17:32:27,601 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 17:32:27,601 - mmseg - INFO - Iter [120000/160000] lr: 1.540e-05, eta: 2:43:25, time: 0.291, data_time: 0.050, memory: 36048, decode.loss_ce: 0.2897, decode.acc_seg: 71.6870, aux.loss_ce: 0.1380, aux.acc_seg: 70.2646, loss: 0.4277 2022-06-18 17:32:39,549 - mmseg - INFO - Iter [120050/160000] lr: 1.538e-05, eta: 2:43:13, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2909, decode.acc_seg: 71.1876, aux.loss_ce: 0.1410, aux.acc_seg: 69.6665, loss: 0.4319 2022-06-18 17:32:51,166 - mmseg - INFO - Iter [120100/160000] lr: 1.536e-05, eta: 2:43:00, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2807, decode.acc_seg: 71.9826, aux.loss_ce: 0.1358, aux.acc_seg: 70.4823, loss: 0.4165 2022-06-18 17:33:02,935 - mmseg - INFO - Iter [120150/160000] lr: 1.534e-05, eta: 2:42:48, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2796, decode.acc_seg: 71.8576, aux.loss_ce: 0.1342, aux.acc_seg: 70.6143, loss: 0.4138 2022-06-18 17:33:14,398 - mmseg - INFO - Iter [120200/160000] lr: 1.532e-05, eta: 2:42:35, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2978, decode.acc_seg: 70.7019, aux.loss_ce: 0.1416, aux.acc_seg: 69.2896, loss: 0.4394 2022-06-18 17:33:25,970 - mmseg - INFO - Iter [120250/160000] lr: 1.530e-05, eta: 2:42:23, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2980, decode.acc_seg: 72.0377, aux.loss_ce: 0.1433, aux.acc_seg: 70.5426, loss: 0.4414 2022-06-18 17:33:37,584 - mmseg - INFO - Iter [120300/160000] lr: 1.529e-05, eta: 2:42:10, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2843, decode.acc_seg: 71.3979, aux.loss_ce: 0.1380, aux.acc_seg: 69.8522, loss: 0.4223 2022-06-18 17:33:49,232 - mmseg - INFO - Iter [120350/160000] lr: 1.527e-05, eta: 2:41:58, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2747, decode.acc_seg: 71.2493, aux.loss_ce: 0.1326, aux.acc_seg: 69.7240, loss: 0.4073 2022-06-18 17:34:01,025 - mmseg - INFO - Iter [120400/160000] lr: 1.525e-05, eta: 2:41:45, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2842, decode.acc_seg: 72.5149, aux.loss_ce: 0.1362, aux.acc_seg: 71.1575, loss: 0.4204 2022-06-18 17:34:12,401 - mmseg - INFO - Iter [120450/160000] lr: 1.523e-05, eta: 2:41:33, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2797, decode.acc_seg: 71.4122, aux.loss_ce: 0.1370, aux.acc_seg: 69.8545, loss: 0.4166 2022-06-18 17:34:24,261 - mmseg - INFO - Iter [120500/160000] lr: 1.521e-05, eta: 2:41:21, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2744, decode.acc_seg: 72.9067, aux.loss_ce: 0.1339, aux.acc_seg: 71.3319, loss: 0.4083 2022-06-18 17:34:35,927 - mmseg - INFO - Iter [120550/160000] lr: 1.519e-05, eta: 2:41:08, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2873, decode.acc_seg: 72.5308, aux.loss_ce: 0.1393, aux.acc_seg: 71.0221, loss: 0.4266 2022-06-18 17:34:47,706 - mmseg - INFO - Iter [120600/160000] lr: 1.517e-05, eta: 2:40:56, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2850, decode.acc_seg: 72.0121, aux.loss_ce: 0.1388, aux.acc_seg: 70.4843, loss: 0.4238 2022-06-18 17:34:59,429 - mmseg - INFO - Iter [120650/160000] lr: 1.515e-05, eta: 2:40:43, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2790, decode.acc_seg: 71.2293, aux.loss_ce: 0.1341, aux.acc_seg: 69.9397, loss: 0.4132 2022-06-18 17:35:11,240 - mmseg - INFO - Iter [120700/160000] lr: 1.513e-05, eta: 2:40:31, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2879, decode.acc_seg: 71.5310, aux.loss_ce: 0.1397, aux.acc_seg: 69.9519, loss: 0.4277 2022-06-18 17:35:22,764 - mmseg - INFO - Iter [120750/160000] lr: 1.511e-05, eta: 2:40:18, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2889, decode.acc_seg: 71.1297, aux.loss_ce: 0.1395, aux.acc_seg: 69.5896, loss: 0.4284 2022-06-18 17:35:34,234 - mmseg - INFO - Iter [120800/160000] lr: 1.509e-05, eta: 2:40:06, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2810, decode.acc_seg: 73.1765, aux.loss_ce: 0.1347, aux.acc_seg: 71.6774, loss: 0.4157 2022-06-18 17:35:46,081 - mmseg - INFO - Iter [120850/160000] lr: 1.507e-05, eta: 2:39:53, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2822, decode.acc_seg: 70.8502, aux.loss_ce: 0.1361, aux.acc_seg: 69.1894, loss: 0.4183 2022-06-18 17:35:57,924 - mmseg - INFO - Iter [120900/160000] lr: 1.505e-05, eta: 2:39:41, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3068, decode.acc_seg: 73.1744, aux.loss_ce: 0.1484, aux.acc_seg: 71.5675, loss: 0.4551 2022-06-18 17:36:09,677 - mmseg - INFO - Iter [120950/160000] lr: 1.503e-05, eta: 2:39:29, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2735, decode.acc_seg: 71.6157, aux.loss_ce: 0.1341, aux.acc_seg: 69.8877, loss: 0.4076 2022-06-18 17:36:21,530 - mmseg - INFO - Saving checkpoint at 121000 iterations 2022-06-18 17:36:22,250 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 17:36:22,250 - mmseg - INFO - Iter [121000/160000] lr: 1.502e-05, eta: 2:39:16, time: 0.252, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2806, decode.acc_seg: 72.2237, aux.loss_ce: 0.1353, aux.acc_seg: 70.7068, loss: 0.4159 2022-06-18 17:36:33,987 - mmseg - INFO - Iter [121050/160000] lr: 1.500e-05, eta: 2:39:04, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2896, decode.acc_seg: 71.0587, aux.loss_ce: 0.1410, aux.acc_seg: 69.6020, loss: 0.4306 2022-06-18 17:36:45,656 - mmseg - INFO - Iter [121100/160000] lr: 1.498e-05, eta: 2:38:52, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2892, decode.acc_seg: 70.6699, aux.loss_ce: 0.1393, aux.acc_seg: 69.3494, loss: 0.4285 2022-06-18 17:36:57,383 - mmseg - INFO - Iter [121150/160000] lr: 1.496e-05, eta: 2:38:39, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2773, decode.acc_seg: 71.7309, aux.loss_ce: 0.1348, aux.acc_seg: 70.2573, loss: 0.4121 2022-06-18 17:37:08,939 - mmseg - INFO - Iter [121200/160000] lr: 1.494e-05, eta: 2:38:27, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2846, decode.acc_seg: 70.9863, aux.loss_ce: 0.1371, aux.acc_seg: 69.6566, loss: 0.4216 2022-06-18 17:37:22,668 - mmseg - INFO - Iter [121250/160000] lr: 1.492e-05, eta: 2:38:15, time: 0.275, data_time: 0.048, memory: 36048, decode.loss_ce: 0.2823, decode.acc_seg: 71.4850, aux.loss_ce: 0.1378, aux.acc_seg: 70.0542, loss: 0.4201 2022-06-18 17:37:34,306 - mmseg - INFO - Iter [121300/160000] lr: 1.490e-05, eta: 2:38:03, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2671, decode.acc_seg: 72.5361, aux.loss_ce: 0.1274, aux.acc_seg: 71.2382, loss: 0.3945 2022-06-18 17:37:46,046 - mmseg - INFO - Iter [121350/160000] lr: 1.488e-05, eta: 2:37:50, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2901, decode.acc_seg: 71.7247, aux.loss_ce: 0.1383, aux.acc_seg: 70.3555, loss: 0.4283 2022-06-18 17:37:57,697 - mmseg - INFO - Iter [121400/160000] lr: 1.486e-05, eta: 2:37:38, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2589, decode.acc_seg: 72.4516, aux.loss_ce: 0.1262, aux.acc_seg: 71.0843, loss: 0.3851 2022-06-18 17:38:09,495 - mmseg - INFO - Iter [121450/160000] lr: 1.484e-05, eta: 2:37:25, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2865, decode.acc_seg: 71.2354, aux.loss_ce: 0.1375, aux.acc_seg: 69.7772, loss: 0.4241 2022-06-18 17:38:21,066 - mmseg - INFO - Iter [121500/160000] lr: 1.482e-05, eta: 2:37:13, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2796, decode.acc_seg: 72.4413, aux.loss_ce: 0.1349, aux.acc_seg: 71.0522, loss: 0.4145 2022-06-18 17:38:32,715 - mmseg - INFO - Iter [121550/160000] lr: 1.480e-05, eta: 2:37:00, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2827, decode.acc_seg: 72.4556, aux.loss_ce: 0.1371, aux.acc_seg: 70.8987, loss: 0.4198 2022-06-18 17:38:44,546 - mmseg - INFO - Iter [121600/160000] lr: 1.478e-05, eta: 2:36:48, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2737, decode.acc_seg: 70.8887, aux.loss_ce: 0.1324, aux.acc_seg: 69.3709, loss: 0.4061 2022-06-18 17:38:56,365 - mmseg - INFO - Iter [121650/160000] lr: 1.477e-05, eta: 2:36:36, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2785, decode.acc_seg: 71.5722, aux.loss_ce: 0.1323, aux.acc_seg: 70.2211, loss: 0.4108 2022-06-18 17:39:07,968 - mmseg - INFO - Iter [121700/160000] lr: 1.475e-05, eta: 2:36:23, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2909, decode.acc_seg: 73.0603, aux.loss_ce: 0.1401, aux.acc_seg: 71.5600, loss: 0.4311 2022-06-18 17:39:19,855 - mmseg - INFO - Iter [121750/160000] lr: 1.473e-05, eta: 2:36:11, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2793, decode.acc_seg: 72.2444, aux.loss_ce: 0.1369, aux.acc_seg: 70.6972, loss: 0.4162 2022-06-18 17:39:31,704 - mmseg - INFO - Iter [121800/160000] lr: 1.471e-05, eta: 2:35:58, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2610, decode.acc_seg: 70.6082, aux.loss_ce: 0.1251, aux.acc_seg: 69.3213, loss: 0.3861 2022-06-18 17:39:43,448 - mmseg - INFO - Iter [121850/160000] lr: 1.469e-05, eta: 2:35:46, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2847, decode.acc_seg: 71.8274, aux.loss_ce: 0.1366, aux.acc_seg: 70.1787, loss: 0.4214 2022-06-18 17:39:55,119 - mmseg - INFO - Iter [121900/160000] lr: 1.467e-05, eta: 2:35:34, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2825, decode.acc_seg: 70.8520, aux.loss_ce: 0.1358, aux.acc_seg: 69.5793, loss: 0.4183 2022-06-18 17:40:06,821 - mmseg - INFO - Iter [121950/160000] lr: 1.465e-05, eta: 2:35:21, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2812, decode.acc_seg: 72.6010, aux.loss_ce: 0.1374, aux.acc_seg: 71.2196, loss: 0.4186 2022-06-18 17:40:18,371 - mmseg - INFO - Saving checkpoint at 122000 iterations 2022-06-18 17:40:19,104 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 17:40:19,104 - mmseg - INFO - Iter [122000/160000] lr: 1.463e-05, eta: 2:35:09, time: 0.246, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2808, decode.acc_seg: 73.8513, aux.loss_ce: 0.1350, aux.acc_seg: 72.4236, loss: 0.4158 2022-06-18 17:40:30,816 - mmseg - INFO - Iter [122050/160000] lr: 1.461e-05, eta: 2:34:56, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2945, decode.acc_seg: 71.2851, aux.loss_ce: 0.1427, aux.acc_seg: 69.6375, loss: 0.4372 2022-06-18 17:40:42,480 - mmseg - INFO - Iter [122100/160000] lr: 1.459e-05, eta: 2:34:44, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2918, decode.acc_seg: 71.8288, aux.loss_ce: 0.1414, aux.acc_seg: 70.2574, loss: 0.4332 2022-06-18 17:40:54,499 - mmseg - INFO - Iter [122150/160000] lr: 1.457e-05, eta: 2:34:32, time: 0.241, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2887, decode.acc_seg: 71.4371, aux.loss_ce: 0.1419, aux.acc_seg: 69.7601, loss: 0.4306 2022-06-18 17:41:05,788 - mmseg - INFO - Iter [122200/160000] lr: 1.455e-05, eta: 2:34:19, time: 0.226, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2827, decode.acc_seg: 72.9411, aux.loss_ce: 0.1358, aux.acc_seg: 71.4994, loss: 0.4185 2022-06-18 17:41:17,482 - mmseg - INFO - Iter [122250/160000] lr: 1.453e-05, eta: 2:34:07, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2880, decode.acc_seg: 71.9258, aux.loss_ce: 0.1366, aux.acc_seg: 70.5244, loss: 0.4246 2022-06-18 17:41:29,165 - mmseg - INFO - Iter [122300/160000] lr: 1.452e-05, eta: 2:33:54, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2824, decode.acc_seg: 71.4329, aux.loss_ce: 0.1349, aux.acc_seg: 70.0626, loss: 0.4173 2022-06-18 17:41:40,877 - mmseg - INFO - Iter [122350/160000] lr: 1.450e-05, eta: 2:33:42, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2807, decode.acc_seg: 69.7570, aux.loss_ce: 0.1334, aux.acc_seg: 68.3784, loss: 0.4141 2022-06-18 17:41:52,469 - mmseg - INFO - Iter [122400/160000] lr: 1.448e-05, eta: 2:33:29, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3046, decode.acc_seg: 70.3169, aux.loss_ce: 0.1472, aux.acc_seg: 68.7624, loss: 0.4518 2022-06-18 17:42:04,234 - mmseg - INFO - Iter [122450/160000] lr: 1.446e-05, eta: 2:33:17, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2951, decode.acc_seg: 72.2941, aux.loss_ce: 0.1438, aux.acc_seg: 70.4931, loss: 0.4389 2022-06-18 17:42:16,017 - mmseg - INFO - Iter [122500/160000] lr: 1.444e-05, eta: 2:33:05, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2724, decode.acc_seg: 70.5796, aux.loss_ce: 0.1311, aux.acc_seg: 69.2755, loss: 0.4035 2022-06-18 17:42:29,977 - mmseg - INFO - Iter [122550/160000] lr: 1.442e-05, eta: 2:32:53, time: 0.279, data_time: 0.048, memory: 36048, decode.loss_ce: 0.2776, decode.acc_seg: 72.0543, aux.loss_ce: 0.1342, aux.acc_seg: 70.6306, loss: 0.4118 2022-06-18 17:42:41,544 - mmseg - INFO - Iter [122600/160000] lr: 1.440e-05, eta: 2:32:41, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2715, decode.acc_seg: 68.7364, aux.loss_ce: 0.1316, aux.acc_seg: 67.3357, loss: 0.4031 2022-06-18 17:42:53,079 - mmseg - INFO - Iter [122650/160000] lr: 1.438e-05, eta: 2:32:28, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2782, decode.acc_seg: 71.7871, aux.loss_ce: 0.1348, aux.acc_seg: 70.4393, loss: 0.4130 2022-06-18 17:43:04,631 - mmseg - INFO - Iter [122700/160000] lr: 1.436e-05, eta: 2:32:16, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2879, decode.acc_seg: 71.1329, aux.loss_ce: 0.1406, aux.acc_seg: 69.4458, loss: 0.4285 2022-06-18 17:43:16,186 - mmseg - INFO - Iter [122750/160000] lr: 1.434e-05, eta: 2:32:03, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2840, decode.acc_seg: 70.8997, aux.loss_ce: 0.1349, aux.acc_seg: 69.5305, loss: 0.4189 2022-06-18 17:43:28,015 - mmseg - INFO - Iter [122800/160000] lr: 1.432e-05, eta: 2:31:51, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2855, decode.acc_seg: 70.6787, aux.loss_ce: 0.1363, aux.acc_seg: 69.3924, loss: 0.4218 2022-06-18 17:43:39,457 - mmseg - INFO - Iter [122850/160000] lr: 1.430e-05, eta: 2:31:38, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2902, decode.acc_seg: 72.4032, aux.loss_ce: 0.1401, aux.acc_seg: 70.8964, loss: 0.4304 2022-06-18 17:43:51,054 - mmseg - INFO - Iter [122900/160000] lr: 1.428e-05, eta: 2:31:26, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2836, decode.acc_seg: 72.5654, aux.loss_ce: 0.1365, aux.acc_seg: 71.0743, loss: 0.4201 2022-06-18 17:44:02,993 - mmseg - INFO - Iter [122950/160000] lr: 1.426e-05, eta: 2:31:13, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2515, decode.acc_seg: 72.2605, aux.loss_ce: 0.1227, aux.acc_seg: 70.7231, loss: 0.3742 2022-06-18 17:44:14,711 - mmseg - INFO - Saving checkpoint at 123000 iterations 2022-06-18 17:44:15,453 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 17:44:15,453 - mmseg - INFO - Iter [123000/160000] lr: 1.425e-05, eta: 2:31:01, time: 0.250, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2852, decode.acc_seg: 71.9308, aux.loss_ce: 0.1401, aux.acc_seg: 70.2102, loss: 0.4253 2022-06-18 17:44:27,162 - mmseg - INFO - Iter [123050/160000] lr: 1.423e-05, eta: 2:30:49, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2709, decode.acc_seg: 71.4778, aux.loss_ce: 0.1310, aux.acc_seg: 70.0309, loss: 0.4019 2022-06-18 17:44:39,324 - mmseg - INFO - Iter [123100/160000] lr: 1.421e-05, eta: 2:30:37, time: 0.242, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2900, decode.acc_seg: 72.3285, aux.loss_ce: 0.1396, aux.acc_seg: 70.8286, loss: 0.4296 2022-06-18 17:44:51,056 - mmseg - INFO - Iter [123150/160000] lr: 1.419e-05, eta: 2:30:24, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2929, decode.acc_seg: 71.7413, aux.loss_ce: 0.1395, aux.acc_seg: 70.3654, loss: 0.4325 2022-06-18 17:45:02,785 - mmseg - INFO - Iter [123200/160000] lr: 1.417e-05, eta: 2:30:12, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2683, decode.acc_seg: 71.4433, aux.loss_ce: 0.1313, aux.acc_seg: 69.9316, loss: 0.3995 2022-06-18 17:45:14,429 - mmseg - INFO - Iter [123250/160000] lr: 1.415e-05, eta: 2:29:59, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2943, decode.acc_seg: 71.5734, aux.loss_ce: 0.1403, aux.acc_seg: 70.0860, loss: 0.4346 2022-06-18 17:45:26,088 - mmseg - INFO - Iter [123300/160000] lr: 1.413e-05, eta: 2:29:47, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2782, decode.acc_seg: 72.1975, aux.loss_ce: 0.1350, aux.acc_seg: 70.6041, loss: 0.4132 2022-06-18 17:45:37,504 - mmseg - INFO - Iter [123350/160000] lr: 1.411e-05, eta: 2:29:34, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2852, decode.acc_seg: 72.5167, aux.loss_ce: 0.1375, aux.acc_seg: 71.0748, loss: 0.4227 2022-06-18 17:45:49,165 - mmseg - INFO - Iter [123400/160000] lr: 1.409e-05, eta: 2:29:22, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2908, decode.acc_seg: 70.8432, aux.loss_ce: 0.1421, aux.acc_seg: 69.1981, loss: 0.4329 2022-06-18 17:46:00,800 - mmseg - INFO - Iter [123450/160000] lr: 1.407e-05, eta: 2:29:10, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3009, decode.acc_seg: 72.3222, aux.loss_ce: 0.1455, aux.acc_seg: 70.7549, loss: 0.4465 2022-06-18 17:46:12,332 - mmseg - INFO - Iter [123500/160000] lr: 1.405e-05, eta: 2:28:57, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3014, decode.acc_seg: 71.4590, aux.loss_ce: 0.1458, aux.acc_seg: 69.9006, loss: 0.4472 2022-06-18 17:46:23,979 - mmseg - INFO - Iter [123550/160000] lr: 1.403e-05, eta: 2:28:45, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2773, decode.acc_seg: 72.1090, aux.loss_ce: 0.1346, aux.acc_seg: 70.6237, loss: 0.4119 2022-06-18 17:46:35,638 - mmseg - INFO - Iter [123600/160000] lr: 1.401e-05, eta: 2:28:32, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2839, decode.acc_seg: 71.6591, aux.loss_ce: 0.1389, aux.acc_seg: 70.0719, loss: 0.4228 2022-06-18 17:46:47,367 - mmseg - INFO - Iter [123650/160000] lr: 1.400e-05, eta: 2:28:20, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2783, decode.acc_seg: 71.0622, aux.loss_ce: 0.1361, aux.acc_seg: 69.4595, loss: 0.4144 2022-06-18 17:46:59,133 - mmseg - INFO - Iter [123700/160000] lr: 1.398e-05, eta: 2:28:08, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.3239, decode.acc_seg: 71.2667, aux.loss_ce: 0.1553, aux.acc_seg: 69.6755, loss: 0.4792 2022-06-18 17:47:10,741 - mmseg - INFO - Iter [123750/160000] lr: 1.396e-05, eta: 2:27:55, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2753, decode.acc_seg: 72.2334, aux.loss_ce: 0.1347, aux.acc_seg: 70.5495, loss: 0.4100 2022-06-18 17:47:24,597 - mmseg - INFO - Iter [123800/160000] lr: 1.394e-05, eta: 2:27:43, time: 0.277, data_time: 0.049, memory: 36048, decode.loss_ce: 0.2840, decode.acc_seg: 72.0272, aux.loss_ce: 0.1362, aux.acc_seg: 70.6199, loss: 0.4202 2022-06-18 17:47:36,209 - mmseg - INFO - Iter [123850/160000] lr: 1.392e-05, eta: 2:27:31, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2645, decode.acc_seg: 71.0726, aux.loss_ce: 0.1272, aux.acc_seg: 69.9065, loss: 0.3917 2022-06-18 17:47:48,011 - mmseg - INFO - Iter [123900/160000] lr: 1.390e-05, eta: 2:27:19, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2921, decode.acc_seg: 70.6805, aux.loss_ce: 0.1406, aux.acc_seg: 69.1636, loss: 0.4327 2022-06-18 17:47:59,725 - mmseg - INFO - Iter [123950/160000] lr: 1.388e-05, eta: 2:27:06, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2825, decode.acc_seg: 72.4021, aux.loss_ce: 0.1370, aux.acc_seg: 70.7667, loss: 0.4195 2022-06-18 17:48:11,310 - mmseg - INFO - Saving checkpoint at 124000 iterations 2022-06-18 17:48:12,038 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 17:48:12,038 - mmseg - INFO - Iter [124000/160000] lr: 1.386e-05, eta: 2:26:54, time: 0.246, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2815, decode.acc_seg: 72.2925, aux.loss_ce: 0.1366, aux.acc_seg: 70.7123, loss: 0.4181 2022-06-18 17:48:23,710 - mmseg - INFO - Iter [124050/160000] lr: 1.384e-05, eta: 2:26:42, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2712, decode.acc_seg: 74.0234, aux.loss_ce: 0.1313, aux.acc_seg: 72.5151, loss: 0.4024 2022-06-18 17:48:35,390 - mmseg - INFO - Iter [124100/160000] lr: 1.382e-05, eta: 2:26:29, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2734, decode.acc_seg: 72.4800, aux.loss_ce: 0.1327, aux.acc_seg: 71.0826, loss: 0.4061 2022-06-18 17:48:47,078 - mmseg - INFO - Iter [124150/160000] lr: 1.380e-05, eta: 2:26:17, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2849, decode.acc_seg: 72.1082, aux.loss_ce: 0.1365, aux.acc_seg: 70.6519, loss: 0.4214 2022-06-18 17:48:58,718 - mmseg - INFO - Iter [124200/160000] lr: 1.378e-05, eta: 2:26:04, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2734, decode.acc_seg: 71.0030, aux.loss_ce: 0.1353, aux.acc_seg: 69.3571, loss: 0.4087 2022-06-18 17:49:10,428 - mmseg - INFO - Iter [124250/160000] lr: 1.376e-05, eta: 2:25:52, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2703, decode.acc_seg: 70.7802, aux.loss_ce: 0.1336, aux.acc_seg: 69.1526, loss: 0.4038 2022-06-18 17:49:22,362 - mmseg - INFO - Iter [124300/160000] lr: 1.375e-05, eta: 2:25:40, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2822, decode.acc_seg: 72.0245, aux.loss_ce: 0.1368, aux.acc_seg: 70.5180, loss: 0.4190 2022-06-18 17:49:33,892 - mmseg - INFO - Iter [124350/160000] lr: 1.373e-05, eta: 2:25:27, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2673, decode.acc_seg: 71.5537, aux.loss_ce: 0.1284, aux.acc_seg: 70.2443, loss: 0.3958 2022-06-18 17:49:45,568 - mmseg - INFO - Iter [124400/160000] lr: 1.371e-05, eta: 2:25:15, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2832, decode.acc_seg: 71.1232, aux.loss_ce: 0.1366, aux.acc_seg: 69.7476, loss: 0.4199 2022-06-18 17:49:57,156 - mmseg - INFO - Iter [124450/160000] lr: 1.369e-05, eta: 2:25:02, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2787, decode.acc_seg: 71.4484, aux.loss_ce: 0.1335, aux.acc_seg: 70.0780, loss: 0.4122 2022-06-18 17:50:08,816 - mmseg - INFO - Iter [124500/160000] lr: 1.367e-05, eta: 2:24:50, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2621, decode.acc_seg: 72.4655, aux.loss_ce: 0.1256, aux.acc_seg: 70.9589, loss: 0.3878 2022-06-18 17:50:20,739 - mmseg - INFO - Iter [124550/160000] lr: 1.365e-05, eta: 2:24:38, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2729, decode.acc_seg: 71.3958, aux.loss_ce: 0.1320, aux.acc_seg: 70.0505, loss: 0.4049 2022-06-18 17:50:32,324 - mmseg - INFO - Iter [124600/160000] lr: 1.363e-05, eta: 2:24:25, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2897, decode.acc_seg: 70.8698, aux.loss_ce: 0.1407, aux.acc_seg: 69.3368, loss: 0.4304 2022-06-18 17:50:44,011 - mmseg - INFO - Iter [124650/160000] lr: 1.361e-05, eta: 2:24:13, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2786, decode.acc_seg: 70.9448, aux.loss_ce: 0.1371, aux.acc_seg: 69.4706, loss: 0.4157 2022-06-18 17:50:55,907 - mmseg - INFO - Iter [124700/160000] lr: 1.359e-05, eta: 2:24:00, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2859, decode.acc_seg: 71.7150, aux.loss_ce: 0.1389, aux.acc_seg: 70.0860, loss: 0.4249 2022-06-18 17:51:07,665 - mmseg - INFO - Iter [124750/160000] lr: 1.357e-05, eta: 2:23:48, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2932, decode.acc_seg: 71.7043, aux.loss_ce: 0.1415, aux.acc_seg: 70.1179, loss: 0.4347 2022-06-18 17:51:19,504 - mmseg - INFO - Iter [124800/160000] lr: 1.355e-05, eta: 2:23:36, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2901, decode.acc_seg: 72.2859, aux.loss_ce: 0.1375, aux.acc_seg: 70.9635, loss: 0.4276 2022-06-18 17:51:31,063 - mmseg - INFO - Iter [124850/160000] lr: 1.353e-05, eta: 2:23:23, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2850, decode.acc_seg: 72.7849, aux.loss_ce: 0.1376, aux.acc_seg: 71.2254, loss: 0.4226 2022-06-18 17:51:42,705 - mmseg - INFO - Iter [124900/160000] lr: 1.351e-05, eta: 2:23:11, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2939, decode.acc_seg: 72.7114, aux.loss_ce: 0.1406, aux.acc_seg: 71.2255, loss: 0.4344 2022-06-18 17:51:54,250 - mmseg - INFO - Iter [124950/160000] lr: 1.349e-05, eta: 2:22:58, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2620, decode.acc_seg: 71.0789, aux.loss_ce: 0.1281, aux.acc_seg: 69.5070, loss: 0.3901 2022-06-18 17:52:05,521 - mmseg - INFO - Saving checkpoint at 125000 iterations 2022-06-18 17:52:06,237 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 17:52:06,237 - mmseg - INFO - Iter [125000/160000] lr: 1.348e-05, eta: 2:22:46, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2897, decode.acc_seg: 72.0593, aux.loss_ce: 0.1402, aux.acc_seg: 70.5325, loss: 0.4298 2022-06-18 17:52:19,836 - mmseg - INFO - Iter [125050/160000] lr: 1.346e-05, eta: 2:22:34, time: 0.272, data_time: 0.048, memory: 36048, decode.loss_ce: 0.2839, decode.acc_seg: 72.9091, aux.loss_ce: 0.1353, aux.acc_seg: 71.5997, loss: 0.4192 2022-06-18 17:52:31,367 - mmseg - INFO - Iter [125100/160000] lr: 1.344e-05, eta: 2:22:22, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2930, decode.acc_seg: 72.2945, aux.loss_ce: 0.1417, aux.acc_seg: 70.8342, loss: 0.4347 2022-06-18 17:52:42,996 - mmseg - INFO - Iter [125150/160000] lr: 1.342e-05, eta: 2:22:09, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2673, decode.acc_seg: 72.0676, aux.loss_ce: 0.1292, aux.acc_seg: 70.6259, loss: 0.3965 2022-06-18 17:52:54,813 - mmseg - INFO - Iter [125200/160000] lr: 1.340e-05, eta: 2:21:57, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2619, decode.acc_seg: 72.8493, aux.loss_ce: 0.1263, aux.acc_seg: 71.5437, loss: 0.3882 2022-06-18 17:53:06,595 - mmseg - INFO - Iter [125250/160000] lr: 1.338e-05, eta: 2:21:45, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2779, decode.acc_seg: 71.9801, aux.loss_ce: 0.1323, aux.acc_seg: 70.7565, loss: 0.4102 2022-06-18 17:53:18,040 - mmseg - INFO - Iter [125300/160000] lr: 1.336e-05, eta: 2:21:32, time: 0.229, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2790, decode.acc_seg: 73.5597, aux.loss_ce: 0.1387, aux.acc_seg: 71.7847, loss: 0.4177 2022-06-18 17:53:29,761 - mmseg - INFO - Iter [125350/160000] lr: 1.334e-05, eta: 2:21:20, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2655, decode.acc_seg: 70.6871, aux.loss_ce: 0.1285, aux.acc_seg: 69.3490, loss: 0.3940 2022-06-18 17:53:41,476 - mmseg - INFO - Iter [125400/160000] lr: 1.332e-05, eta: 2:21:08, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2672, decode.acc_seg: 74.3003, aux.loss_ce: 0.1294, aux.acc_seg: 72.8118, loss: 0.3966 2022-06-18 17:53:52,908 - mmseg - INFO - Iter [125450/160000] lr: 1.330e-05, eta: 2:20:55, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2688, decode.acc_seg: 73.0934, aux.loss_ce: 0.1307, aux.acc_seg: 71.5872, loss: 0.3995 2022-06-18 17:54:04,768 - mmseg - INFO - Iter [125500/160000] lr: 1.328e-05, eta: 2:20:43, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2796, decode.acc_seg: 70.9164, aux.loss_ce: 0.1381, aux.acc_seg: 69.2772, loss: 0.4177 2022-06-18 17:54:16,429 - mmseg - INFO - Iter [125550/160000] lr: 1.326e-05, eta: 2:20:30, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2840, decode.acc_seg: 71.2204, aux.loss_ce: 0.1414, aux.acc_seg: 69.3948, loss: 0.4254 2022-06-18 17:54:28,032 - mmseg - INFO - Iter [125600/160000] lr: 1.324e-05, eta: 2:20:18, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2598, decode.acc_seg: 71.6749, aux.loss_ce: 0.1266, aux.acc_seg: 70.2436, loss: 0.3863 2022-06-18 17:54:39,618 - mmseg - INFO - Iter [125650/160000] lr: 1.323e-05, eta: 2:20:05, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2802, decode.acc_seg: 71.4730, aux.loss_ce: 0.1389, aux.acc_seg: 69.8750, loss: 0.4191 2022-06-18 17:54:51,431 - mmseg - INFO - Iter [125700/160000] lr: 1.321e-05, eta: 2:19:53, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2788, decode.acc_seg: 71.9921, aux.loss_ce: 0.1345, aux.acc_seg: 70.7329, loss: 0.4132 2022-06-18 17:55:03,128 - mmseg - INFO - Iter [125750/160000] lr: 1.319e-05, eta: 2:19:41, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2720, decode.acc_seg: 72.3613, aux.loss_ce: 0.1319, aux.acc_seg: 70.8684, loss: 0.4040 2022-06-18 17:55:14,621 - mmseg - INFO - Iter [125800/160000] lr: 1.317e-05, eta: 2:19:28, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2699, decode.acc_seg: 72.5491, aux.loss_ce: 0.1296, aux.acc_seg: 71.1097, loss: 0.3995 2022-06-18 17:55:26,107 - mmseg - INFO - Iter [125850/160000] lr: 1.315e-05, eta: 2:19:16, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2980, decode.acc_seg: 71.8394, aux.loss_ce: 0.1439, aux.acc_seg: 70.2069, loss: 0.4420 2022-06-18 17:55:37,785 - mmseg - INFO - Iter [125900/160000] lr: 1.313e-05, eta: 2:19:03, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2936, decode.acc_seg: 71.7795, aux.loss_ce: 0.1409, aux.acc_seg: 70.3893, loss: 0.4345 2022-06-18 17:55:49,512 - mmseg - INFO - Iter [125950/160000] lr: 1.311e-05, eta: 2:18:51, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2743, decode.acc_seg: 71.8576, aux.loss_ce: 0.1323, aux.acc_seg: 70.4099, loss: 0.4066 2022-06-18 17:56:00,982 - mmseg - INFO - Saving checkpoint at 126000 iterations 2022-06-18 17:56:01,718 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 17:56:01,718 - mmseg - INFO - Iter [126000/160000] lr: 1.309e-05, eta: 2:18:39, time: 0.244, data_time: 0.003, memory: 36048, decode.loss_ce: 0.3039, decode.acc_seg: 71.3910, aux.loss_ce: 0.1455, aux.acc_seg: 69.9777, loss: 0.4494 2022-06-18 17:56:13,462 - mmseg - INFO - Iter [126050/160000] lr: 1.307e-05, eta: 2:18:27, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2664, decode.acc_seg: 71.3655, aux.loss_ce: 0.1275, aux.acc_seg: 70.0620, loss: 0.3938 2022-06-18 17:56:24,962 - mmseg - INFO - Iter [126100/160000] lr: 1.305e-05, eta: 2:18:14, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2669, decode.acc_seg: 72.6663, aux.loss_ce: 0.1294, aux.acc_seg: 71.2440, loss: 0.3963 2022-06-18 17:56:36,556 - mmseg - INFO - Iter [126150/160000] lr: 1.303e-05, eta: 2:18:02, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2877, decode.acc_seg: 71.9282, aux.loss_ce: 0.1390, aux.acc_seg: 70.5465, loss: 0.4267 2022-06-18 17:56:48,341 - mmseg - INFO - Iter [126200/160000] lr: 1.301e-05, eta: 2:17:49, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2760, decode.acc_seg: 70.9705, aux.loss_ce: 0.1315, aux.acc_seg: 69.6402, loss: 0.4076 2022-06-18 17:56:59,952 - mmseg - INFO - Iter [126250/160000] lr: 1.299e-05, eta: 2:17:37, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2849, decode.acc_seg: 71.4072, aux.loss_ce: 0.1355, aux.acc_seg: 70.0569, loss: 0.4205 2022-06-18 17:57:11,289 - mmseg - INFO - Iter [126300/160000] lr: 1.298e-05, eta: 2:17:24, time: 0.227, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2970, decode.acc_seg: 70.0588, aux.loss_ce: 0.1426, aux.acc_seg: 68.5969, loss: 0.4396 2022-06-18 17:57:25,263 - mmseg - INFO - Iter [126350/160000] lr: 1.296e-05, eta: 2:17:13, time: 0.279, data_time: 0.049, memory: 36048, decode.loss_ce: 0.2727, decode.acc_seg: 72.7028, aux.loss_ce: 0.1324, aux.acc_seg: 71.2629, loss: 0.4051 2022-06-18 17:57:37,097 - mmseg - INFO - Iter [126400/160000] lr: 1.294e-05, eta: 2:17:00, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2486, decode.acc_seg: 71.5808, aux.loss_ce: 0.1226, aux.acc_seg: 70.1013, loss: 0.3712 2022-06-18 17:57:49,134 - mmseg - INFO - Iter [126450/160000] lr: 1.292e-05, eta: 2:16:48, time: 0.241, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2849, decode.acc_seg: 71.8801, aux.loss_ce: 0.1409, aux.acc_seg: 70.0682, loss: 0.4258 2022-06-18 17:58:00,794 - mmseg - INFO - Iter [126500/160000] lr: 1.290e-05, eta: 2:16:36, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2584, decode.acc_seg: 71.6802, aux.loss_ce: 0.1271, aux.acc_seg: 70.1256, loss: 0.3855 2022-06-18 17:58:12,446 - mmseg - INFO - Iter [126550/160000] lr: 1.288e-05, eta: 2:16:23, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2667, decode.acc_seg: 73.1538, aux.loss_ce: 0.1315, aux.acc_seg: 71.5844, loss: 0.3982 2022-06-18 17:58:24,250 - mmseg - INFO - Iter [126600/160000] lr: 1.286e-05, eta: 2:16:11, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2733, decode.acc_seg: 72.6645, aux.loss_ce: 0.1329, aux.acc_seg: 71.2810, loss: 0.4062 2022-06-18 17:58:36,081 - mmseg - INFO - Iter [126650/160000] lr: 1.284e-05, eta: 2:15:59, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2680, decode.acc_seg: 71.9350, aux.loss_ce: 0.1321, aux.acc_seg: 70.3265, loss: 0.4001 2022-06-18 17:58:47,692 - mmseg - INFO - Iter [126700/160000] lr: 1.282e-05, eta: 2:15:46, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2961, decode.acc_seg: 70.7283, aux.loss_ce: 0.1400, aux.acc_seg: 69.4084, loss: 0.4361 2022-06-18 17:58:59,549 - mmseg - INFO - Iter [126750/160000] lr: 1.280e-05, eta: 2:15:34, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2923, decode.acc_seg: 69.8393, aux.loss_ce: 0.1422, aux.acc_seg: 68.2077, loss: 0.4345 2022-06-18 17:59:11,214 - mmseg - INFO - Iter [126800/160000] lr: 1.278e-05, eta: 2:15:21, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2790, decode.acc_seg: 71.6063, aux.loss_ce: 0.1340, aux.acc_seg: 70.3789, loss: 0.4130 2022-06-18 17:59:22,846 - mmseg - INFO - Iter [126850/160000] lr: 1.276e-05, eta: 2:15:09, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2824, decode.acc_seg: 72.1870, aux.loss_ce: 0.1342, aux.acc_seg: 70.8353, loss: 0.4165 2022-06-18 17:59:34,560 - mmseg - INFO - Iter [126900/160000] lr: 1.274e-05, eta: 2:14:57, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2752, decode.acc_seg: 72.9529, aux.loss_ce: 0.1357, aux.acc_seg: 71.2210, loss: 0.4109 2022-06-18 17:59:46,376 - mmseg - INFO - Iter [126950/160000] lr: 1.272e-05, eta: 2:14:44, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2814, decode.acc_seg: 71.9147, aux.loss_ce: 0.1360, aux.acc_seg: 70.4886, loss: 0.4174 2022-06-18 17:59:58,136 - mmseg - INFO - Saving checkpoint at 127000 iterations 2022-06-18 17:59:58,854 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 17:59:58,854 - mmseg - INFO - Iter [127000/160000] lr: 1.271e-05, eta: 2:14:32, time: 0.250, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2859, decode.acc_seg: 71.8994, aux.loss_ce: 0.1398, aux.acc_seg: 70.2825, loss: 0.4256 2022-06-18 18:00:10,269 - mmseg - INFO - Iter [127050/160000] lr: 1.269e-05, eta: 2:14:20, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2977, decode.acc_seg: 70.7156, aux.loss_ce: 0.1449, aux.acc_seg: 69.0263, loss: 0.4426 2022-06-18 18:00:22,246 - mmseg - INFO - Iter [127100/160000] lr: 1.267e-05, eta: 2:14:07, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2791, decode.acc_seg: 71.5542, aux.loss_ce: 0.1355, aux.acc_seg: 70.0704, loss: 0.4146 2022-06-18 18:00:33,968 - mmseg - INFO - Iter [127150/160000] lr: 1.265e-05, eta: 2:13:55, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2862, decode.acc_seg: 70.3147, aux.loss_ce: 0.1390, aux.acc_seg: 68.7575, loss: 0.4252 2022-06-18 18:00:45,930 - mmseg - INFO - Iter [127200/160000] lr: 1.263e-05, eta: 2:13:43, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2596, decode.acc_seg: 71.9013, aux.loss_ce: 0.1264, aux.acc_seg: 70.4634, loss: 0.3860 2022-06-18 18:00:58,018 - mmseg - INFO - Iter [127250/160000] lr: 1.261e-05, eta: 2:13:31, time: 0.242, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2794, decode.acc_seg: 71.7992, aux.loss_ce: 0.1363, aux.acc_seg: 70.2128, loss: 0.4157 2022-06-18 18:01:09,799 - mmseg - INFO - Iter [127300/160000] lr: 1.259e-05, eta: 2:13:18, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2897, decode.acc_seg: 71.8662, aux.loss_ce: 0.1424, aux.acc_seg: 70.2563, loss: 0.4320 2022-06-18 18:01:21,470 - mmseg - INFO - Iter [127350/160000] lr: 1.257e-05, eta: 2:13:06, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2729, decode.acc_seg: 73.5955, aux.loss_ce: 0.1339, aux.acc_seg: 72.2233, loss: 0.4068 2022-06-18 18:01:33,201 - mmseg - INFO - Iter [127400/160000] lr: 1.255e-05, eta: 2:12:53, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2577, decode.acc_seg: 71.4611, aux.loss_ce: 0.1271, aux.acc_seg: 70.0250, loss: 0.3848 2022-06-18 18:01:45,005 - mmseg - INFO - Iter [127450/160000] lr: 1.253e-05, eta: 2:12:41, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2850, decode.acc_seg: 71.0921, aux.loss_ce: 0.1375, aux.acc_seg: 69.4808, loss: 0.4226 2022-06-18 18:01:56,709 - mmseg - INFO - Iter [127500/160000] lr: 1.251e-05, eta: 2:12:29, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2839, decode.acc_seg: 71.1859, aux.loss_ce: 0.1367, aux.acc_seg: 69.8505, loss: 0.4206 2022-06-18 18:02:08,452 - mmseg - INFO - Iter [127550/160000] lr: 1.249e-05, eta: 2:12:16, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2769, decode.acc_seg: 72.1321, aux.loss_ce: 0.1325, aux.acc_seg: 70.7558, loss: 0.4094 2022-06-18 18:02:22,157 - mmseg - INFO - Iter [127600/160000] lr: 1.247e-05, eta: 2:12:05, time: 0.274, data_time: 0.049, memory: 36048, decode.loss_ce: 0.2708, decode.acc_seg: 72.5277, aux.loss_ce: 0.1327, aux.acc_seg: 70.8156, loss: 0.4034 2022-06-18 18:02:33,855 - mmseg - INFO - Iter [127650/160000] lr: 1.246e-05, eta: 2:11:52, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2916, decode.acc_seg: 72.7082, aux.loss_ce: 0.1393, aux.acc_seg: 71.1805, loss: 0.4308 2022-06-18 18:02:45,485 - mmseg - INFO - Iter [127700/160000] lr: 1.244e-05, eta: 2:11:40, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2722, decode.acc_seg: 71.9742, aux.loss_ce: 0.1341, aux.acc_seg: 70.4230, loss: 0.4063 2022-06-18 18:02:57,115 - mmseg - INFO - Iter [127750/160000] lr: 1.242e-05, eta: 2:11:27, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2806, decode.acc_seg: 71.7999, aux.loss_ce: 0.1368, aux.acc_seg: 70.1348, loss: 0.4174 2022-06-18 18:03:08,705 - mmseg - INFO - Iter [127800/160000] lr: 1.240e-05, eta: 2:11:15, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2522, decode.acc_seg: 72.1471, aux.loss_ce: 0.1237, aux.acc_seg: 70.7219, loss: 0.3758 2022-06-18 18:03:20,445 - mmseg - INFO - Iter [127850/160000] lr: 1.238e-05, eta: 2:11:03, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2866, decode.acc_seg: 71.6245, aux.loss_ce: 0.1380, aux.acc_seg: 70.0294, loss: 0.4247 2022-06-18 18:03:32,186 - mmseg - INFO - Iter [127900/160000] lr: 1.236e-05, eta: 2:10:50, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2802, decode.acc_seg: 72.3924, aux.loss_ce: 0.1363, aux.acc_seg: 70.8508, loss: 0.4165 2022-06-18 18:03:43,878 - mmseg - INFO - Iter [127950/160000] lr: 1.234e-05, eta: 2:10:38, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2764, decode.acc_seg: 71.7330, aux.loss_ce: 0.1337, aux.acc_seg: 70.2906, loss: 0.4100 2022-06-18 18:03:55,691 - mmseg - INFO - Saving checkpoint at 128000 iterations 2022-06-18 18:03:56,466 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 18:03:56,466 - mmseg - INFO - Iter [128000/160000] lr: 1.232e-05, eta: 2:10:26, time: 0.252, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2715, decode.acc_seg: 70.7586, aux.loss_ce: 0.1310, aux.acc_seg: 69.1996, loss: 0.4025 2022-06-18 18:04:14,982 - mmseg - INFO - per class results: 2022-06-18 18:04:14,987 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 73.7 | 87.51 | | building | 80.08 | 91.61 | | sky | 93.97 | 96.9 | | floor | 78.24 | 89.72 | | tree | 71.95 | 87.07 | | ceiling | 81.72 | 91.01 | | road | 80.42 | 87.18 | | bed | 84.13 | 93.13 | | windowpane | 57.53 | 73.83 | | grass | 63.87 | 79.41 | | cabinet | 56.66 | 68.81 | | sidewalk | 58.14 | 77.59 | | person | 75.67 | 91.06 | | earth | 32.25 | 46.22 | | door | 38.79 | 49.76 | | table | 50.23 | 68.98 | | mountain | 52.85 | 68.89 | | plant | 47.75 | 58.66 | | curtain | 69.39 | 82.46 | | chair | 46.58 | 60.55 | | car | 78.6 | 89.72 | | water | 46.02 | 56.97 | | painting | 66.8 | 81.41 | | sofa | 57.64 | 77.74 | | shelf | 37.93 | 55.12 | | house | 41.93 | 54.46 | | sea | 42.73 | 69.89 | | mirror | 59.93 | 73.9 | | rug | 60.74 | 68.55 | | field | 29.55 | 46.26 | | armchair | 35.94 | 57.26 | | seat | 53.58 | 68.3 | | fence | 35.76 | 48.45 | | desk | 43.25 | 56.89 | | rock | 36.53 | 60.24 | | wardrobe | 52.96 | 65.48 | | lamp | 53.98 | 67.96 | | bathtub | 70.23 | 77.14 | | railing | 25.8 | 34.62 | | cushion | 46.0 | 59.43 | | base | 21.97 | 31.12 | | box | 17.67 | 24.67 | | column | 37.37 | 48.62 | | signboard | 31.9 | 41.76 | | chest of drawers | 37.37 | 54.2 | | counter | 24.35 | 30.43 | | sand | 30.46 | 51.67 | | sink | 61.15 | 74.66 | | skyscraper | 52.17 | 65.78 | | fireplace | 70.79 | 84.08 | | refrigerator | 65.5 | 70.04 | | grandstand | 33.39 | 63.1 | | path | 22.84 | 30.54 | | stairs | 21.48 | 24.54 | | runway | 72.28 | 92.68 | | case | 37.49 | 51.84 | | pool table | 92.67 | 95.48 | | pillow | 48.01 | 56.83 | | screen door | 64.03 | 76.58 | | stairway | 28.41 | 39.39 | | river | 10.82 | 22.74 | | bridge | 44.91 | 57.8 | | bookcase | 39.93 | 62.37 | | blind | 38.35 | 45.48 | | coffee table | 51.86 | 74.92 | | toilet | 77.77 | 87.75 | | flower | 35.11 | 46.28 | | book | 43.66 | 61.07 | | hill | 11.66 | 18.5 | | bench | 36.75 | 46.67 | | countertop | 55.84 | 73.49 | | stove | 63.84 | 77.17 | | palm | 44.43 | 65.58 | | kitchen island | 28.21 | 50.3 | | computer | 52.72 | 61.78 | | swivel chair | 39.05 | 60.03 | | boat | 30.42 | 37.63 | | bar | 19.52 | 26.61 | | arcade machine | 17.25 | 18.05 | | hovel | 25.61 | 39.53 | | bus | 76.36 | 84.61 | | towel | 45.96 | 59.03 | | light | 46.8 | 51.77 | | truck | 10.81 | 21.48 | | tower | 21.86 | 38.19 | | chandelier | 58.65 | 72.89 | | awning | 23.59 | 27.64 | | streetlight | 17.02 | 22.76 | | booth | 56.54 | 59.81 | | television receiver | 57.51 | 77.66 | | airplane | 50.23 | 62.69 | | dirt track | 8.29 | 15.18 | | apparel | 29.16 | 48.41 | | pole | 14.64 | 20.25 | | land | 4.41 | 8.14 | | bannister | 7.0 | 10.09 | | escalator | 16.08 | 19.32 | | ottoman | 37.48 | 57.99 | | bottle | 29.06 | 46.95 | | buffet | 36.92 | 42.53 | | poster | 20.55 | 23.15 | | stage | 12.71 | 24.13 | | van | 32.78 | 39.13 | | ship | 45.77 | 72.82 | | fountain | 18.13 | 18.57 | | conveyer belt | 56.2 | 81.69 | | canopy | 27.08 | 35.23 | | washer | 70.39 | 73.18 | | plaything | 16.0 | 21.99 | | swimming pool | 55.25 | 69.66 | | stool | 31.71 | 48.21 | | barrel | 53.65 | 61.47 | | basket | 19.17 | 26.26 | | waterfall | 57.3 | 63.02 | | tent | 91.69 | 98.48 | | bag | 4.44 | 5.31 | | minibike | 50.58 | 61.19 | | cradle | 77.48 | 95.32 | | oven | 24.25 | 33.89 | | ball | 34.84 | 41.6 | | food | 50.32 | 64.55 | | step | 2.43 | 3.19 | | tank | 37.0 | 45.15 | | trade name | 17.38 | 18.41 | | microwave | 35.69 | 39.6 | | pot | 31.09 | 34.92 | | animal | 52.19 | 56.63 | | bicycle | 36.86 | 59.04 | | lake | 62.75 | 63.62 | | dishwasher | 46.96 | 58.27 | | screen | 63.29 | 68.92 | | blanket | 7.24 | 7.73 | | sculpture | 36.21 | 48.84 | | hood | 50.25 | 57.22 | | sconce | 33.93 | 40.82 | | vase | 27.19 | 38.01 | | traffic light | 18.83 | 29.36 | | tray | 2.15 | 4.12 | | ashcan | 29.11 | 38.79 | | fan | 50.09 | 66.25 | | pier | 27.72 | 39.49 | | crt screen | 11.03 | 23.42 | | plate | 41.9 | 54.75 | | monitor | 35.87 | 54.71 | | bulletin board | 33.52 | 39.03 | | shower | 1.7 | 1.75 | | radiator | 51.73 | 59.33 | | glass | 12.81 | 16.14 | | clock | 15.59 | 18.43 | | flag | 28.82 | 31.18 | +---------------------+-------+-------+ 2022-06-18 18:04:14,988 - mmseg - INFO - Summary: 2022-06-18 18:04:14,988 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 80.08 | 42.06 | 53.24 | +-------+-------+-------+ 2022-06-18 18:04:15,035 - mmseg - INFO - The previous best checkpoint /home/chenzhe/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_deit_adapter_tiny_512_160_ade20k_try2/best_mIoU_iter_96000.pth was removed 2022-06-18 18:04:15,680 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_128000.pth. 2022-06-18 18:04:15,680 - mmseg - INFO - Best mIoU is 0.4206 at 128000 iter. 2022-06-18 18:04:15,689 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 18:04:15,689 - mmseg - INFO - Iter(val) [250] aAcc: 0.8008, mIoU: 0.4206, mAcc: 0.5324, IoU.wall: 0.7370, IoU.building: 0.8008, IoU.sky: 0.9397, IoU.floor: 0.7824, IoU.tree: 0.7195, IoU.ceiling: 0.8172, IoU.road: 0.8042, IoU.bed : 0.8413, IoU.windowpane: 0.5753, IoU.grass: 0.6387, IoU.cabinet: 0.5666, IoU.sidewalk: 0.5814, IoU.person: 0.7567, IoU.earth: 0.3225, IoU.door: 0.3879, IoU.table: 0.5023, IoU.mountain: 0.5285, IoU.plant: 0.4775, IoU.curtain: 0.6939, IoU.chair: 0.4658, IoU.car: 0.7860, IoU.water: 0.4602, IoU.painting: 0.6680, IoU.sofa: 0.5764, IoU.shelf: 0.3793, IoU.house: 0.4193, IoU.sea: 0.4273, IoU.mirror: 0.5993, IoU.rug: 0.6074, IoU.field: 0.2955, IoU.armchair: 0.3594, IoU.seat: 0.5358, IoU.fence: 0.3576, IoU.desk: 0.4325, IoU.rock: 0.3653, IoU.wardrobe: 0.5296, IoU.lamp: 0.5398, IoU.bathtub: 0.7023, IoU.railing: 0.2580, IoU.cushion: 0.4600, IoU.base: 0.2197, IoU.box: 0.1767, IoU.column: 0.3737, IoU.signboard: 0.3190, IoU.chest of drawers: 0.3737, IoU.counter: 0.2435, IoU.sand: 0.3046, IoU.sink: 0.6115, IoU.skyscraper: 0.5217, IoU.fireplace: 0.7079, IoU.refrigerator: 0.6550, IoU.grandstand: 0.3339, IoU.path: 0.2284, IoU.stairs: 0.2148, IoU.runway: 0.7228, IoU.case: 0.3749, IoU.pool table: 0.9267, IoU.pillow: 0.4801, IoU.screen door: 0.6403, IoU.stairway: 0.2841, IoU.river: 0.1082, IoU.bridge: 0.4491, IoU.bookcase: 0.3993, IoU.blind: 0.3835, IoU.coffee table: 0.5186, IoU.toilet: 0.7777, IoU.flower: 0.3511, IoU.book: 0.4366, IoU.hill: 0.1166, IoU.bench: 0.3675, IoU.countertop: 0.5584, IoU.stove: 0.6384, IoU.palm: 0.4443, IoU.kitchen island: 0.2821, IoU.computer: 0.5272, IoU.swivel chair: 0.3905, IoU.boat: 0.3042, IoU.bar: 0.1952, IoU.arcade machine: 0.1725, IoU.hovel: 0.2561, IoU.bus: 0.7636, IoU.towel: 0.4596, IoU.light: 0.4680, IoU.truck: 0.1081, IoU.tower: 0.2186, IoU.chandelier: 0.5865, IoU.awning: 0.2359, IoU.streetlight: 0.1702, IoU.booth: 0.5654, IoU.television receiver: 0.5751, IoU.airplane: 0.5023, IoU.dirt track: 0.0829, IoU.apparel: 0.2916, IoU.pole: 0.1464, IoU.land: 0.0441, IoU.bannister: 0.0700, IoU.escalator: 0.1608, IoU.ottoman: 0.3748, IoU.bottle: 0.2906, IoU.buffet: 0.3692, IoU.poster: 0.2055, IoU.stage: 0.1271, IoU.van: 0.3278, IoU.ship: 0.4577, IoU.fountain: 0.1813, IoU.conveyer belt: 0.5620, IoU.canopy: 0.2708, IoU.washer: 0.7039, IoU.plaything: 0.1600, IoU.swimming pool: 0.5525, IoU.stool: 0.3171, IoU.barrel: 0.5365, IoU.basket: 0.1917, IoU.waterfall: 0.5730, IoU.tent: 0.9169, IoU.bag: 0.0444, IoU.minibike: 0.5058, IoU.cradle: 0.7748, IoU.oven: 0.2425, IoU.ball: 0.3484, IoU.food: 0.5032, IoU.step: 0.0243, IoU.tank: 0.3700, IoU.trade name: 0.1738, IoU.microwave: 0.3569, IoU.pot: 0.3109, IoU.animal: 0.5219, IoU.bicycle: 0.3686, IoU.lake: 0.6275, IoU.dishwasher: 0.4696, IoU.screen: 0.6329, IoU.blanket: 0.0724, IoU.sculpture: 0.3621, IoU.hood: 0.5025, IoU.sconce: 0.3393, IoU.vase: 0.2719, IoU.traffic light: 0.1883, IoU.tray: 0.0215, IoU.ashcan: 0.2911, IoU.fan: 0.5009, IoU.pier: 0.2772, IoU.crt screen: 0.1103, IoU.plate: 0.4190, IoU.monitor: 0.3587, IoU.bulletin board: 0.3352, IoU.shower: 0.0170, IoU.radiator: 0.5173, IoU.glass: 0.1281, IoU.clock: 0.1559, IoU.flag: 0.2882, Acc.wall: 0.8751, Acc.building: 0.9161, Acc.sky: 0.9690, Acc.floor: 0.8972, Acc.tree: 0.8707, Acc.ceiling: 0.9101, Acc.road: 0.8718, Acc.bed : 0.9313, Acc.windowpane: 0.7383, Acc.grass: 0.7941, Acc.cabinet: 0.6881, Acc.sidewalk: 0.7759, Acc.person: 0.9106, Acc.earth: 0.4622, Acc.door: 0.4976, Acc.table: 0.6898, Acc.mountain: 0.6889, Acc.plant: 0.5866, Acc.curtain: 0.8246, Acc.chair: 0.6055, Acc.car: 0.8972, Acc.water: 0.5697, Acc.painting: 0.8141, Acc.sofa: 0.7774, Acc.shelf: 0.5512, Acc.house: 0.5446, Acc.sea: 0.6989, Acc.mirror: 0.7390, Acc.rug: 0.6855, Acc.field: 0.4626, Acc.armchair: 0.5726, Acc.seat: 0.6830, Acc.fence: 0.4845, Acc.desk: 0.5689, Acc.rock: 0.6024, Acc.wardrobe: 0.6548, Acc.lamp: 0.6796, Acc.bathtub: 0.7714, Acc.railing: 0.3462, Acc.cushion: 0.5943, Acc.base: 0.3112, Acc.box: 0.2467, Acc.column: 0.4862, Acc.signboard: 0.4176, Acc.chest of drawers: 0.5420, Acc.counter: 0.3043, Acc.sand: 0.5167, Acc.sink: 0.7466, Acc.skyscraper: 0.6578, Acc.fireplace: 0.8408, Acc.refrigerator: 0.7004, Acc.grandstand: 0.6310, Acc.path: 0.3054, Acc.stairs: 0.2454, Acc.runway: 0.9268, Acc.case: 0.5184, Acc.pool table: 0.9548, Acc.pillow: 0.5683, Acc.screen door: 0.7658, Acc.stairway: 0.3939, Acc.river: 0.2274, Acc.bridge: 0.5780, Acc.bookcase: 0.6237, Acc.blind: 0.4548, Acc.coffee table: 0.7492, Acc.toilet: 0.8775, Acc.flower: 0.4628, Acc.book: 0.6107, Acc.hill: 0.1850, Acc.bench: 0.4667, Acc.countertop: 0.7349, Acc.stove: 0.7717, Acc.palm: 0.6558, Acc.kitchen island: 0.5030, Acc.computer: 0.6178, Acc.swivel chair: 0.6003, Acc.boat: 0.3763, Acc.bar: 0.2661, Acc.arcade machine: 0.1805, Acc.hovel: 0.3953, Acc.bus: 0.8461, Acc.towel: 0.5903, Acc.light: 0.5177, Acc.truck: 0.2148, Acc.tower: 0.3819, Acc.chandelier: 0.7289, Acc.awning: 0.2764, Acc.streetlight: 0.2276, Acc.booth: 0.5981, Acc.television receiver: 0.7766, Acc.airplane: 0.6269, Acc.dirt track: 0.1518, Acc.apparel: 0.4841, Acc.pole: 0.2025, Acc.land: 0.0814, Acc.bannister: 0.1009, Acc.escalator: 0.1932, Acc.ottoman: 0.5799, Acc.bottle: 0.4695, Acc.buffet: 0.4253, Acc.poster: 0.2315, Acc.stage: 0.2413, Acc.van: 0.3913, Acc.ship: 0.7282, Acc.fountain: 0.1857, Acc.conveyer belt: 0.8169, Acc.canopy: 0.3523, Acc.washer: 0.7318, Acc.plaything: 0.2199, Acc.swimming pool: 0.6966, Acc.stool: 0.4821, Acc.barrel: 0.6147, Acc.basket: 0.2626, Acc.waterfall: 0.6302, Acc.tent: 0.9848, Acc.bag: 0.0531, Acc.minibike: 0.6119, Acc.cradle: 0.9532, Acc.oven: 0.3389, Acc.ball: 0.4160, Acc.food: 0.6455, Acc.step: 0.0319, Acc.tank: 0.4515, Acc.trade name: 0.1841, Acc.microwave: 0.3960, Acc.pot: 0.3492, Acc.animal: 0.5663, Acc.bicycle: 0.5904, Acc.lake: 0.6362, Acc.dishwasher: 0.5827, Acc.screen: 0.6892, Acc.blanket: 0.0773, Acc.sculpture: 0.4884, Acc.hood: 0.5722, Acc.sconce: 0.4082, Acc.vase: 0.3801, Acc.traffic light: 0.2936, Acc.tray: 0.0412, Acc.ashcan: 0.3879, Acc.fan: 0.6625, Acc.pier: 0.3949, Acc.crt screen: 0.2342, Acc.plate: 0.5475, Acc.monitor: 0.5471, Acc.bulletin board: 0.3903, Acc.shower: 0.0175, Acc.radiator: 0.5933, Acc.glass: 0.1614, Acc.clock: 0.1843, Acc.flag: 0.3118 2022-06-18 18:04:27,476 - mmseg - INFO - Iter [128050/160000] lr: 1.230e-05, eta: 2:10:18, time: 0.620, data_time: 0.388, memory: 36048, decode.loss_ce: 0.2615, decode.acc_seg: 71.7874, aux.loss_ce: 0.1291, aux.acc_seg: 70.1703, loss: 0.3906 2022-06-18 18:04:39,136 - mmseg - INFO - Iter [128100/160000] lr: 1.228e-05, eta: 2:10:06, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2596, decode.acc_seg: 72.5798, aux.loss_ce: 0.1282, aux.acc_seg: 70.8924, loss: 0.3878 2022-06-18 18:04:50,761 - mmseg - INFO - Iter [128150/160000] lr: 1.226e-05, eta: 2:09:54, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2739, decode.acc_seg: 71.2875, aux.loss_ce: 0.1352, aux.acc_seg: 69.5173, loss: 0.4091 2022-06-18 18:05:02,715 - mmseg - INFO - Iter [128200/160000] lr: 1.224e-05, eta: 2:09:41, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2805, decode.acc_seg: 73.0596, aux.loss_ce: 0.1354, aux.acc_seg: 71.5994, loss: 0.4159 2022-06-18 18:05:14,658 - mmseg - INFO - Iter [128250/160000] lr: 1.222e-05, eta: 2:09:29, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2706, decode.acc_seg: 72.4001, aux.loss_ce: 0.1283, aux.acc_seg: 71.1606, loss: 0.3990 2022-06-18 18:05:26,411 - mmseg - INFO - Iter [128300/160000] lr: 1.221e-05, eta: 2:09:17, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2647, decode.acc_seg: 72.2488, aux.loss_ce: 0.1287, aux.acc_seg: 70.8440, loss: 0.3934 2022-06-18 18:05:38,120 - mmseg - INFO - Iter [128350/160000] lr: 1.219e-05, eta: 2:09:04, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2654, decode.acc_seg: 72.1421, aux.loss_ce: 0.1307, aux.acc_seg: 70.5451, loss: 0.3961 2022-06-18 18:05:50,125 - mmseg - INFO - Iter [128400/160000] lr: 1.217e-05, eta: 2:08:52, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2799, decode.acc_seg: 72.4082, aux.loss_ce: 0.1366, aux.acc_seg: 70.9323, loss: 0.4165 2022-06-18 18:06:01,772 - mmseg - INFO - Iter [128450/160000] lr: 1.215e-05, eta: 2:08:40, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2585, decode.acc_seg: 71.7597, aux.loss_ce: 0.1270, aux.acc_seg: 70.3645, loss: 0.3855 2022-06-18 18:06:13,807 - mmseg - INFO - Iter [128500/160000] lr: 1.213e-05, eta: 2:08:27, time: 0.241, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2666, decode.acc_seg: 72.3131, aux.loss_ce: 0.1317, aux.acc_seg: 70.6201, loss: 0.3983 2022-06-18 18:06:25,418 - mmseg - INFO - Iter [128550/160000] lr: 1.211e-05, eta: 2:08:15, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2628, decode.acc_seg: 72.7890, aux.loss_ce: 0.1284, aux.acc_seg: 71.3969, loss: 0.3912 2022-06-18 18:06:37,376 - mmseg - INFO - Iter [128600/160000] lr: 1.209e-05, eta: 2:08:03, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2829, decode.acc_seg: 71.1576, aux.loss_ce: 0.1376, aux.acc_seg: 69.5638, loss: 0.4205 2022-06-18 18:06:49,068 - mmseg - INFO - Iter [128650/160000] lr: 1.207e-05, eta: 2:07:50, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2652, decode.acc_seg: 71.7119, aux.loss_ce: 0.1296, aux.acc_seg: 70.1998, loss: 0.3947 2022-06-18 18:07:00,769 - mmseg - INFO - Iter [128700/160000] lr: 1.205e-05, eta: 2:07:38, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2757, decode.acc_seg: 72.3727, aux.loss_ce: 0.1342, aux.acc_seg: 70.8093, loss: 0.4098 2022-06-18 18:07:12,588 - mmseg - INFO - Iter [128750/160000] lr: 1.203e-05, eta: 2:07:25, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2652, decode.acc_seg: 73.5772, aux.loss_ce: 0.1303, aux.acc_seg: 72.0473, loss: 0.3956 2022-06-18 18:07:23,993 - mmseg - INFO - Iter [128800/160000] lr: 1.201e-05, eta: 2:07:13, time: 0.229, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2857, decode.acc_seg: 72.4666, aux.loss_ce: 0.1393, aux.acc_seg: 70.9018, loss: 0.4250 2022-06-18 18:07:38,050 - mmseg - INFO - Iter [128850/160000] lr: 1.199e-05, eta: 2:07:01, time: 0.281, data_time: 0.052, memory: 36048, decode.loss_ce: 0.2792, decode.acc_seg: 71.7053, aux.loss_ce: 0.1342, aux.acc_seg: 70.1972, loss: 0.4135 2022-06-18 18:07:49,693 - mmseg - INFO - Iter [128900/160000] lr: 1.197e-05, eta: 2:06:49, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2685, decode.acc_seg: 71.9259, aux.loss_ce: 0.1331, aux.acc_seg: 70.2436, loss: 0.4017 2022-06-18 18:08:01,493 - mmseg - INFO - Iter [128950/160000] lr: 1.195e-05, eta: 2:06:37, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2533, decode.acc_seg: 73.8472, aux.loss_ce: 0.1240, aux.acc_seg: 72.4240, loss: 0.3773 2022-06-18 18:08:13,052 - mmseg - INFO - Saving checkpoint at 129000 iterations 2022-06-18 18:08:13,775 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 18:08:13,775 - mmseg - INFO - Iter [129000/160000] lr: 1.194e-05, eta: 2:06:24, time: 0.246, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2684, decode.acc_seg: 71.1879, aux.loss_ce: 0.1321, aux.acc_seg: 69.6378, loss: 0.4005 2022-06-18 18:08:25,561 - mmseg - INFO - Iter [129050/160000] lr: 1.192e-05, eta: 2:06:12, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2430, decode.acc_seg: 71.2937, aux.loss_ce: 0.1173, aux.acc_seg: 69.9942, loss: 0.3603 2022-06-18 18:08:37,323 - mmseg - INFO - Iter [129100/160000] lr: 1.190e-05, eta: 2:06:00, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2616, decode.acc_seg: 72.3870, aux.loss_ce: 0.1292, aux.acc_seg: 70.7664, loss: 0.3908 2022-06-18 18:08:48,931 - mmseg - INFO - Iter [129150/160000] lr: 1.188e-05, eta: 2:05:47, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2599, decode.acc_seg: 73.0123, aux.loss_ce: 0.1257, aux.acc_seg: 71.7023, loss: 0.3856 2022-06-18 18:09:00,666 - mmseg - INFO - Iter [129200/160000] lr: 1.186e-05, eta: 2:05:35, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2786, decode.acc_seg: 71.5197, aux.loss_ce: 0.1344, aux.acc_seg: 69.9519, loss: 0.4130 2022-06-18 18:09:12,195 - mmseg - INFO - Iter [129250/160000] lr: 1.184e-05, eta: 2:05:23, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2742, decode.acc_seg: 70.8312, aux.loss_ce: 0.1341, aux.acc_seg: 69.1499, loss: 0.4083 2022-06-18 18:09:24,059 - mmseg - INFO - Iter [129300/160000] lr: 1.182e-05, eta: 2:05:10, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2641, decode.acc_seg: 70.8642, aux.loss_ce: 0.1306, aux.acc_seg: 69.2999, loss: 0.3947 2022-06-18 18:09:35,527 - mmseg - INFO - Iter [129350/160000] lr: 1.180e-05, eta: 2:04:58, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2895, decode.acc_seg: 71.2811, aux.loss_ce: 0.1388, aux.acc_seg: 69.8551, loss: 0.4283 2022-06-18 18:09:47,294 - mmseg - INFO - Iter [129400/160000] lr: 1.178e-05, eta: 2:04:45, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2908, decode.acc_seg: 73.5591, aux.loss_ce: 0.1391, aux.acc_seg: 72.0520, loss: 0.4299 2022-06-18 18:09:58,864 - mmseg - INFO - Iter [129450/160000] lr: 1.176e-05, eta: 2:04:33, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2761, decode.acc_seg: 72.6537, aux.loss_ce: 0.1330, aux.acc_seg: 71.1771, loss: 0.4091 2022-06-18 18:10:10,572 - mmseg - INFO - Iter [129500/160000] lr: 1.174e-05, eta: 2:04:21, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2887, decode.acc_seg: 71.9363, aux.loss_ce: 0.1391, aux.acc_seg: 70.3937, loss: 0.4279 2022-06-18 18:10:22,381 - mmseg - INFO - Iter [129550/160000] lr: 1.172e-05, eta: 2:04:08, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2735, decode.acc_seg: 70.8982, aux.loss_ce: 0.1336, aux.acc_seg: 69.3285, loss: 0.4071 2022-06-18 18:10:34,308 - mmseg - INFO - Iter [129600/160000] lr: 1.170e-05, eta: 2:03:56, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2849, decode.acc_seg: 71.9054, aux.loss_ce: 0.1371, aux.acc_seg: 70.4858, loss: 0.4219 2022-06-18 18:10:45,874 - mmseg - INFO - Iter [129650/160000] lr: 1.169e-05, eta: 2:03:44, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2656, decode.acc_seg: 72.4468, aux.loss_ce: 0.1302, aux.acc_seg: 70.9843, loss: 0.3958 2022-06-18 18:10:57,627 - mmseg - INFO - Iter [129700/160000] lr: 1.167e-05, eta: 2:03:31, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2854, decode.acc_seg: 71.2265, aux.loss_ce: 0.1361, aux.acc_seg: 69.7267, loss: 0.4215 2022-06-18 18:11:09,301 - mmseg - INFO - Iter [129750/160000] lr: 1.165e-05, eta: 2:03:19, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2915, decode.acc_seg: 71.1220, aux.loss_ce: 0.1404, aux.acc_seg: 69.6105, loss: 0.4319 2022-06-18 18:11:20,915 - mmseg - INFO - Iter [129800/160000] lr: 1.163e-05, eta: 2:03:07, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2788, decode.acc_seg: 72.8333, aux.loss_ce: 0.1343, aux.acc_seg: 71.4828, loss: 0.4131 2022-06-18 18:11:32,569 - mmseg - INFO - Iter [129850/160000] lr: 1.161e-05, eta: 2:02:54, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2689, decode.acc_seg: 71.7790, aux.loss_ce: 0.1321, aux.acc_seg: 70.1853, loss: 0.4010 2022-06-18 18:11:44,368 - mmseg - INFO - Iter [129900/160000] lr: 1.159e-05, eta: 2:02:42, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2661, decode.acc_seg: 70.7537, aux.loss_ce: 0.1293, aux.acc_seg: 69.5246, loss: 0.3955 2022-06-18 18:11:55,919 - mmseg - INFO - Iter [129950/160000] lr: 1.157e-05, eta: 2:02:30, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2763, decode.acc_seg: 72.4102, aux.loss_ce: 0.1353, aux.acc_seg: 70.8334, loss: 0.4116 2022-06-18 18:12:07,487 - mmseg - INFO - Saving checkpoint at 130000 iterations 2022-06-18 18:12:08,253 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 18:12:08,253 - mmseg - INFO - Iter [130000/160000] lr: 1.155e-05, eta: 2:02:17, time: 0.247, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2709, decode.acc_seg: 72.8109, aux.loss_ce: 0.1330, aux.acc_seg: 71.2295, loss: 0.4039 2022-06-18 18:12:19,942 - mmseg - INFO - Iter [130050/160000] lr: 1.153e-05, eta: 2:02:05, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2527, decode.acc_seg: 72.5145, aux.loss_ce: 0.1234, aux.acc_seg: 71.0494, loss: 0.3761 2022-06-18 18:12:33,810 - mmseg - INFO - Iter [130100/160000] lr: 1.151e-05, eta: 2:01:53, time: 0.278, data_time: 0.051, memory: 36048, decode.loss_ce: 0.2650, decode.acc_seg: 71.3695, aux.loss_ce: 0.1293, aux.acc_seg: 69.8091, loss: 0.3944 2022-06-18 18:12:45,367 - mmseg - INFO - Iter [130150/160000] lr: 1.149e-05, eta: 2:01:41, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2706, decode.acc_seg: 71.8448, aux.loss_ce: 0.1341, aux.acc_seg: 70.1743, loss: 0.4047 2022-06-18 18:12:57,286 - mmseg - INFO - Iter [130200/160000] lr: 1.147e-05, eta: 2:01:28, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2578, decode.acc_seg: 71.1331, aux.loss_ce: 0.1272, aux.acc_seg: 69.5230, loss: 0.3849 2022-06-18 18:13:09,090 - mmseg - INFO - Iter [130250/160000] lr: 1.145e-05, eta: 2:01:16, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2548, decode.acc_seg: 71.9676, aux.loss_ce: 0.1244, aux.acc_seg: 70.5927, loss: 0.3792 2022-06-18 18:13:20,927 - mmseg - INFO - Iter [130300/160000] lr: 1.144e-05, eta: 2:01:04, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2671, decode.acc_seg: 73.6177, aux.loss_ce: 0.1294, aux.acc_seg: 72.1820, loss: 0.3965 2022-06-18 18:13:32,393 - mmseg - INFO - Iter [130350/160000] lr: 1.142e-05, eta: 2:00:51, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2867, decode.acc_seg: 71.8393, aux.loss_ce: 0.1399, aux.acc_seg: 70.3800, loss: 0.4266 2022-06-18 18:13:44,080 - mmseg - INFO - Iter [130400/160000] lr: 1.140e-05, eta: 2:00:39, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2654, decode.acc_seg: 73.2978, aux.loss_ce: 0.1277, aux.acc_seg: 71.8862, loss: 0.3931 2022-06-18 18:13:55,598 - mmseg - INFO - Iter [130450/160000] lr: 1.138e-05, eta: 2:00:27, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2818, decode.acc_seg: 72.7733, aux.loss_ce: 0.1374, aux.acc_seg: 71.2221, loss: 0.4192 2022-06-18 18:14:07,037 - mmseg - INFO - Iter [130500/160000] lr: 1.136e-05, eta: 2:00:14, time: 0.229, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2553, decode.acc_seg: 72.4663, aux.loss_ce: 0.1258, aux.acc_seg: 70.7762, loss: 0.3810 2022-06-18 18:14:18,583 - mmseg - INFO - Iter [130550/160000] lr: 1.134e-05, eta: 2:00:02, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2687, decode.acc_seg: 71.2809, aux.loss_ce: 0.1292, aux.acc_seg: 69.8139, loss: 0.3979 2022-06-18 18:14:30,358 - mmseg - INFO - Iter [130600/160000] lr: 1.132e-05, eta: 1:59:49, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2605, decode.acc_seg: 72.4768, aux.loss_ce: 0.1285, aux.acc_seg: 70.9747, loss: 0.3890 2022-06-18 18:14:42,039 - mmseg - INFO - Iter [130650/160000] lr: 1.130e-05, eta: 1:59:37, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2622, decode.acc_seg: 71.9357, aux.loss_ce: 0.1283, aux.acc_seg: 70.4731, loss: 0.3905 2022-06-18 18:14:53,663 - mmseg - INFO - Iter [130700/160000] lr: 1.128e-05, eta: 1:59:25, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2682, decode.acc_seg: 71.6442, aux.loss_ce: 0.1317, aux.acc_seg: 70.0614, loss: 0.4000 2022-06-18 18:15:05,101 - mmseg - INFO - Iter [130750/160000] lr: 1.126e-05, eta: 1:59:12, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2736, decode.acc_seg: 73.4523, aux.loss_ce: 0.1351, aux.acc_seg: 71.8307, loss: 0.4087 2022-06-18 18:15:16,967 - mmseg - INFO - Iter [130800/160000] lr: 1.124e-05, eta: 1:59:00, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2667, decode.acc_seg: 70.3424, aux.loss_ce: 0.1313, aux.acc_seg: 68.7443, loss: 0.3981 2022-06-18 18:15:28,589 - mmseg - INFO - Iter [130850/160000] lr: 1.122e-05, eta: 1:58:48, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2751, decode.acc_seg: 71.7649, aux.loss_ce: 0.1346, aux.acc_seg: 70.1994, loss: 0.4097 2022-06-18 18:15:40,207 - mmseg - INFO - Iter [130900/160000] lr: 1.120e-05, eta: 1:58:35, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2742, decode.acc_seg: 71.1735, aux.loss_ce: 0.1343, aux.acc_seg: 69.5858, loss: 0.4085 2022-06-18 18:15:51,745 - mmseg - INFO - Iter [130950/160000] lr: 1.118e-05, eta: 1:58:23, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2928, decode.acc_seg: 72.6492, aux.loss_ce: 0.1418, aux.acc_seg: 71.0762, loss: 0.4346 2022-06-18 18:16:03,467 - mmseg - INFO - Saving checkpoint at 131000 iterations 2022-06-18 18:16:04,203 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 18:16:04,203 - mmseg - INFO - Iter [131000/160000] lr: 1.117e-05, eta: 1:58:11, time: 0.250, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2957, decode.acc_seg: 70.3358, aux.loss_ce: 0.1444, aux.acc_seg: 68.7936, loss: 0.4401 2022-06-18 18:16:15,733 - mmseg - INFO - Iter [131050/160000] lr: 1.115e-05, eta: 1:57:58, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2686, decode.acc_seg: 71.3728, aux.loss_ce: 0.1302, aux.acc_seg: 69.9036, loss: 0.3988 2022-06-18 18:16:27,500 - mmseg - INFO - Iter [131100/160000] lr: 1.113e-05, eta: 1:57:46, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2540, decode.acc_seg: 71.7488, aux.loss_ce: 0.1230, aux.acc_seg: 70.5212, loss: 0.3770 2022-06-18 18:16:39,127 - mmseg - INFO - Iter [131150/160000] lr: 1.111e-05, eta: 1:57:34, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2740, decode.acc_seg: 70.7659, aux.loss_ce: 0.1328, aux.acc_seg: 69.1483, loss: 0.4069 2022-06-18 18:16:50,613 - mmseg - INFO - Iter [131200/160000] lr: 1.109e-05, eta: 1:57:21, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2649, decode.acc_seg: 73.0253, aux.loss_ce: 0.1295, aux.acc_seg: 71.4175, loss: 0.3945 2022-06-18 18:17:02,227 - mmseg - INFO - Iter [131250/160000] lr: 1.107e-05, eta: 1:57:09, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2864, decode.acc_seg: 71.0515, aux.loss_ce: 0.1370, aux.acc_seg: 69.5799, loss: 0.4234 2022-06-18 18:17:13,868 - mmseg - INFO - Iter [131300/160000] lr: 1.105e-05, eta: 1:56:57, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2757, decode.acc_seg: 70.9804, aux.loss_ce: 0.1318, aux.acc_seg: 69.6336, loss: 0.4074 2022-06-18 18:17:25,259 - mmseg - INFO - Iter [131350/160000] lr: 1.103e-05, eta: 1:56:44, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2597, decode.acc_seg: 73.3556, aux.loss_ce: 0.1279, aux.acc_seg: 71.8253, loss: 0.3876 2022-06-18 18:17:39,348 - mmseg - INFO - Iter [131400/160000] lr: 1.101e-05, eta: 1:56:32, time: 0.282, data_time: 0.050, memory: 36048, decode.loss_ce: 0.2679, decode.acc_seg: 71.7192, aux.loss_ce: 0.1322, aux.acc_seg: 70.0868, loss: 0.4001 2022-06-18 18:17:51,053 - mmseg - INFO - Iter [131450/160000] lr: 1.099e-05, eta: 1:56:20, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2682, decode.acc_seg: 71.0352, aux.loss_ce: 0.1313, aux.acc_seg: 69.4920, loss: 0.3995 2022-06-18 18:18:02,940 - mmseg - INFO - Iter [131500/160000] lr: 1.097e-05, eta: 1:56:08, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2795, decode.acc_seg: 72.9210, aux.loss_ce: 0.1389, aux.acc_seg: 71.2462, loss: 0.4185 2022-06-18 18:18:14,563 - mmseg - INFO - Iter [131550/160000] lr: 1.095e-05, eta: 1:55:55, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2719, decode.acc_seg: 72.9086, aux.loss_ce: 0.1317, aux.acc_seg: 71.4846, loss: 0.4036 2022-06-18 18:18:26,343 - mmseg - INFO - Iter [131600/160000] lr: 1.093e-05, eta: 1:55:43, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2697, decode.acc_seg: 70.8818, aux.loss_ce: 0.1319, aux.acc_seg: 69.3522, loss: 0.4016 2022-06-18 18:18:38,072 - mmseg - INFO - Iter [131650/160000] lr: 1.092e-05, eta: 1:55:31, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2734, decode.acc_seg: 72.5134, aux.loss_ce: 0.1340, aux.acc_seg: 71.0137, loss: 0.4074 2022-06-18 18:18:49,835 - mmseg - INFO - Iter [131700/160000] lr: 1.090e-05, eta: 1:55:18, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2679, decode.acc_seg: 72.3659, aux.loss_ce: 0.1321, aux.acc_seg: 70.7409, loss: 0.4000 2022-06-18 18:19:01,596 - mmseg - INFO - Iter [131750/160000] lr: 1.088e-05, eta: 1:55:06, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2651, decode.acc_seg: 71.4431, aux.loss_ce: 0.1299, aux.acc_seg: 69.8935, loss: 0.3950 2022-06-18 18:19:13,334 - mmseg - INFO - Iter [131800/160000] lr: 1.086e-05, eta: 1:54:54, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2566, decode.acc_seg: 71.5811, aux.loss_ce: 0.1270, aux.acc_seg: 70.0749, loss: 0.3836 2022-06-18 18:19:25,437 - mmseg - INFO - Iter [131850/160000] lr: 1.084e-05, eta: 1:54:42, time: 0.242, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2707, decode.acc_seg: 72.0327, aux.loss_ce: 0.1328, aux.acc_seg: 70.4947, loss: 0.4035 2022-06-18 18:19:36,962 - mmseg - INFO - Iter [131900/160000] lr: 1.082e-05, eta: 1:54:29, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2557, decode.acc_seg: 72.1675, aux.loss_ce: 0.1257, aux.acc_seg: 70.5197, loss: 0.3814 2022-06-18 18:19:48,531 - mmseg - INFO - Iter [131950/160000] lr: 1.080e-05, eta: 1:54:17, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2513, decode.acc_seg: 72.5548, aux.loss_ce: 0.1223, aux.acc_seg: 71.1091, loss: 0.3736 2022-06-18 18:20:00,223 - mmseg - INFO - Saving checkpoint at 132000 iterations 2022-06-18 18:20:00,956 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 18:20:00,956 - mmseg - INFO - Iter [132000/160000] lr: 1.078e-05, eta: 1:54:05, time: 0.249, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2708, decode.acc_seg: 72.3035, aux.loss_ce: 0.1322, aux.acc_seg: 70.7010, loss: 0.4030 2022-06-18 18:20:12,316 - mmseg - INFO - Iter [132050/160000] lr: 1.076e-05, eta: 1:53:52, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2642, decode.acc_seg: 72.4827, aux.loss_ce: 0.1298, aux.acc_seg: 70.9591, loss: 0.3940 2022-06-18 18:20:23,971 - mmseg - INFO - Iter [132100/160000] lr: 1.074e-05, eta: 1:53:40, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2733, decode.acc_seg: 72.3926, aux.loss_ce: 0.1328, aux.acc_seg: 70.9515, loss: 0.4060 2022-06-18 18:20:35,336 - mmseg - INFO - Iter [132150/160000] lr: 1.072e-05, eta: 1:53:27, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2725, decode.acc_seg: 72.7097, aux.loss_ce: 0.1322, aux.acc_seg: 71.2809, loss: 0.4046 2022-06-18 18:20:47,129 - mmseg - INFO - Iter [132200/160000] lr: 1.070e-05, eta: 1:53:15, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2661, decode.acc_seg: 71.1772, aux.loss_ce: 0.1296, aux.acc_seg: 69.7041, loss: 0.3957 2022-06-18 18:20:58,887 - mmseg - INFO - Iter [132250/160000] lr: 1.068e-05, eta: 1:53:03, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2841, decode.acc_seg: 71.6447, aux.loss_ce: 0.1393, aux.acc_seg: 70.2158, loss: 0.4235 2022-06-18 18:21:10,757 - mmseg - INFO - Iter [132300/160000] lr: 1.067e-05, eta: 1:52:51, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2780, decode.acc_seg: 71.9700, aux.loss_ce: 0.1345, aux.acc_seg: 70.4925, loss: 0.4125 2022-06-18 18:21:22,253 - mmseg - INFO - Iter [132350/160000] lr: 1.065e-05, eta: 1:52:38, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2729, decode.acc_seg: 72.4885, aux.loss_ce: 0.1324, aux.acc_seg: 71.0047, loss: 0.4054 2022-06-18 18:21:33,961 - mmseg - INFO - Iter [132400/160000] lr: 1.063e-05, eta: 1:52:26, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2535, decode.acc_seg: 72.8711, aux.loss_ce: 0.1229, aux.acc_seg: 71.5157, loss: 0.3764 2022-06-18 18:21:45,600 - mmseg - INFO - Iter [132450/160000] lr: 1.061e-05, eta: 1:52:13, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2681, decode.acc_seg: 71.3903, aux.loss_ce: 0.1313, aux.acc_seg: 69.9602, loss: 0.3993 2022-06-18 18:21:57,292 - mmseg - INFO - Iter [132500/160000] lr: 1.059e-05, eta: 1:52:01, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2605, decode.acc_seg: 71.6583, aux.loss_ce: 0.1260, aux.acc_seg: 70.2854, loss: 0.3866 2022-06-18 18:22:08,911 - mmseg - INFO - Iter [132550/160000] lr: 1.057e-05, eta: 1:51:49, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2740, decode.acc_seg: 72.5680, aux.loss_ce: 0.1345, aux.acc_seg: 70.8881, loss: 0.4084 2022-06-18 18:22:20,719 - mmseg - INFO - Iter [132600/160000] lr: 1.055e-05, eta: 1:51:36, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2752, decode.acc_seg: 72.6822, aux.loss_ce: 0.1345, aux.acc_seg: 71.0928, loss: 0.4097 2022-06-18 18:22:34,319 - mmseg - INFO - Iter [132650/160000] lr: 1.053e-05, eta: 1:51:25, time: 0.273, data_time: 0.049, memory: 36048, decode.loss_ce: 0.2685, decode.acc_seg: 73.2385, aux.loss_ce: 0.1302, aux.acc_seg: 71.6932, loss: 0.3986 2022-06-18 18:22:46,074 - mmseg - INFO - Iter [132700/160000] lr: 1.051e-05, eta: 1:51:12, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2611, decode.acc_seg: 73.2796, aux.loss_ce: 0.1288, aux.acc_seg: 71.7107, loss: 0.3899 2022-06-18 18:22:57,452 - mmseg - INFO - Iter [132750/160000] lr: 1.049e-05, eta: 1:51:00, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2580, decode.acc_seg: 71.2012, aux.loss_ce: 0.1265, aux.acc_seg: 69.7467, loss: 0.3846 2022-06-18 18:23:08,957 - mmseg - INFO - Iter [132800/160000] lr: 1.047e-05, eta: 1:50:47, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2798, decode.acc_seg: 72.1668, aux.loss_ce: 0.1371, aux.acc_seg: 70.5072, loss: 0.4169 2022-06-18 18:23:20,698 - mmseg - INFO - Iter [132850/160000] lr: 1.045e-05, eta: 1:50:35, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2653, decode.acc_seg: 72.4525, aux.loss_ce: 0.1294, aux.acc_seg: 70.9945, loss: 0.3947 2022-06-18 18:23:32,498 - mmseg - INFO - Iter [132900/160000] lr: 1.043e-05, eta: 1:50:23, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2784, decode.acc_seg: 72.0768, aux.loss_ce: 0.1356, aux.acc_seg: 70.4887, loss: 0.4139 2022-06-18 18:23:44,089 - mmseg - INFO - Iter [132950/160000] lr: 1.041e-05, eta: 1:50:11, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2654, decode.acc_seg: 71.4639, aux.loss_ce: 0.1315, aux.acc_seg: 69.8269, loss: 0.3969 2022-06-18 18:23:55,761 - mmseg - INFO - Saving checkpoint at 133000 iterations 2022-06-18 18:23:56,498 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 18:23:56,498 - mmseg - INFO - Iter [133000/160000] lr: 1.040e-05, eta: 1:49:58, time: 0.248, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2735, decode.acc_seg: 72.9188, aux.loss_ce: 0.1339, aux.acc_seg: 71.3247, loss: 0.4074 2022-06-18 18:24:08,218 - mmseg - INFO - Iter [133050/160000] lr: 1.038e-05, eta: 1:49:46, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2731, decode.acc_seg: 73.0214, aux.loss_ce: 0.1347, aux.acc_seg: 71.2181, loss: 0.4078 2022-06-18 18:24:20,027 - mmseg - INFO - Iter [133100/160000] lr: 1.036e-05, eta: 1:49:34, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2655, decode.acc_seg: 72.7542, aux.loss_ce: 0.1277, aux.acc_seg: 71.3119, loss: 0.3932 2022-06-18 18:24:31,755 - mmseg - INFO - Iter [133150/160000] lr: 1.034e-05, eta: 1:49:21, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2585, decode.acc_seg: 70.8578, aux.loss_ce: 0.1257, aux.acc_seg: 69.3330, loss: 0.3843 2022-06-18 18:24:43,437 - mmseg - INFO - Iter [133200/160000] lr: 1.032e-05, eta: 1:49:09, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2758, decode.acc_seg: 73.5444, aux.loss_ce: 0.1335, aux.acc_seg: 72.0563, loss: 0.4093 2022-06-18 18:24:55,116 - mmseg - INFO - Iter [133250/160000] lr: 1.030e-05, eta: 1:48:57, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2754, decode.acc_seg: 72.3117, aux.loss_ce: 0.1355, aux.acc_seg: 70.8357, loss: 0.4109 2022-06-18 18:25:06,958 - mmseg - INFO - Iter [133300/160000] lr: 1.028e-05, eta: 1:48:44, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2499, decode.acc_seg: 72.7026, aux.loss_ce: 0.1221, aux.acc_seg: 71.1941, loss: 0.3720 2022-06-18 18:25:18,507 - mmseg - INFO - Iter [133350/160000] lr: 1.026e-05, eta: 1:48:32, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2788, decode.acc_seg: 72.7041, aux.loss_ce: 0.1356, aux.acc_seg: 71.2715, loss: 0.4144 2022-06-18 18:25:30,173 - mmseg - INFO - Iter [133400/160000] lr: 1.024e-05, eta: 1:48:20, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2692, decode.acc_seg: 71.7566, aux.loss_ce: 0.1319, aux.acc_seg: 70.1889, loss: 0.4011 2022-06-18 18:25:41,615 - mmseg - INFO - Iter [133450/160000] lr: 1.022e-05, eta: 1:48:07, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2493, decode.acc_seg: 72.1496, aux.loss_ce: 0.1230, aux.acc_seg: 70.5595, loss: 0.3723 2022-06-18 18:25:53,127 - mmseg - INFO - Iter [133500/160000] lr: 1.020e-05, eta: 1:47:55, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2617, decode.acc_seg: 72.4226, aux.loss_ce: 0.1279, aux.acc_seg: 70.8991, loss: 0.3896 2022-06-18 18:26:04,724 - mmseg - INFO - Iter [133550/160000] lr: 1.018e-05, eta: 1:47:43, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2548, decode.acc_seg: 72.7813, aux.loss_ce: 0.1256, aux.acc_seg: 71.2502, loss: 0.3804 2022-06-18 18:26:16,309 - mmseg - INFO - Iter [133600/160000] lr: 1.016e-05, eta: 1:47:30, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2683, decode.acc_seg: 72.1553, aux.loss_ce: 0.1299, aux.acc_seg: 70.6793, loss: 0.3982 2022-06-18 18:26:28,231 - mmseg - INFO - Iter [133650/160000] lr: 1.015e-05, eta: 1:47:18, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2658, decode.acc_seg: 71.2021, aux.loss_ce: 0.1296, aux.acc_seg: 69.7647, loss: 0.3954 2022-06-18 18:26:40,124 - mmseg - INFO - Iter [133700/160000] lr: 1.013e-05, eta: 1:47:06, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2632, decode.acc_seg: 72.4253, aux.loss_ce: 0.1313, aux.acc_seg: 70.6936, loss: 0.3945 2022-06-18 18:26:51,819 - mmseg - INFO - Iter [133750/160000] lr: 1.011e-05, eta: 1:46:53, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2642, decode.acc_seg: 73.0947, aux.loss_ce: 0.1298, aux.acc_seg: 71.5590, loss: 0.3941 2022-06-18 18:27:03,327 - mmseg - INFO - Iter [133800/160000] lr: 1.009e-05, eta: 1:46:41, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2763, decode.acc_seg: 70.9202, aux.loss_ce: 0.1350, aux.acc_seg: 69.4142, loss: 0.4114 2022-06-18 18:27:14,837 - mmseg - INFO - Iter [133850/160000] lr: 1.007e-05, eta: 1:46:29, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2578, decode.acc_seg: 73.1182, aux.loss_ce: 0.1270, aux.acc_seg: 71.5957, loss: 0.3847 2022-06-18 18:27:28,528 - mmseg - INFO - Iter [133900/160000] lr: 1.005e-05, eta: 1:46:17, time: 0.274, data_time: 0.048, memory: 36048, decode.loss_ce: 0.2745, decode.acc_seg: 72.9543, aux.loss_ce: 0.1344, aux.acc_seg: 71.5252, loss: 0.4090 2022-06-18 18:27:40,106 - mmseg - INFO - Iter [133950/160000] lr: 1.003e-05, eta: 1:46:04, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2818, decode.acc_seg: 70.8474, aux.loss_ce: 0.1394, aux.acc_seg: 69.2370, loss: 0.4212 2022-06-18 18:27:51,779 - mmseg - INFO - Saving checkpoint at 134000 iterations 2022-06-18 18:27:52,497 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 18:27:52,497 - mmseg - INFO - Iter [134000/160000] lr: 1.001e-05, eta: 1:45:52, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2729, decode.acc_seg: 72.3296, aux.loss_ce: 0.1320, aux.acc_seg: 70.8634, loss: 0.4049 2022-06-18 18:28:04,107 - mmseg - INFO - Iter [134050/160000] lr: 9.991e-06, eta: 1:45:40, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2684, decode.acc_seg: 72.9365, aux.loss_ce: 0.1314, aux.acc_seg: 71.4673, loss: 0.3998 2022-06-18 18:28:15,973 - mmseg - INFO - Iter [134100/160000] lr: 9.972e-06, eta: 1:45:28, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2741, decode.acc_seg: 72.5958, aux.loss_ce: 0.1364, aux.acc_seg: 70.9315, loss: 0.4104 2022-06-18 18:28:27,877 - mmseg - INFO - Iter [134150/160000] lr: 9.953e-06, eta: 1:45:15, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2574, decode.acc_seg: 72.6754, aux.loss_ce: 0.1291, aux.acc_seg: 70.8938, loss: 0.3865 2022-06-18 18:28:39,494 - mmseg - INFO - Iter [134200/160000] lr: 9.934e-06, eta: 1:45:03, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2602, decode.acc_seg: 72.8753, aux.loss_ce: 0.1303, aux.acc_seg: 71.2124, loss: 0.3904 2022-06-18 18:28:51,054 - mmseg - INFO - Iter [134250/160000] lr: 9.914e-06, eta: 1:44:51, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2543, decode.acc_seg: 71.7048, aux.loss_ce: 0.1247, aux.acc_seg: 70.2804, loss: 0.3790 2022-06-18 18:29:02,858 - mmseg - INFO - Iter [134300/160000] lr: 9.895e-06, eta: 1:44:38, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2629, decode.acc_seg: 70.5442, aux.loss_ce: 0.1278, aux.acc_seg: 69.1341, loss: 0.3907 2022-06-18 18:29:14,445 - mmseg - INFO - Iter [134350/160000] lr: 9.876e-06, eta: 1:44:26, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2597, decode.acc_seg: 73.3068, aux.loss_ce: 0.1279, aux.acc_seg: 71.7508, loss: 0.3876 2022-06-18 18:29:26,082 - mmseg - INFO - Iter [134400/160000] lr: 9.857e-06, eta: 1:44:14, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2600, decode.acc_seg: 72.1911, aux.loss_ce: 0.1274, aux.acc_seg: 70.5959, loss: 0.3874 2022-06-18 18:29:38,017 - mmseg - INFO - Iter [134450/160000] lr: 9.837e-06, eta: 1:44:02, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2665, decode.acc_seg: 72.7398, aux.loss_ce: 0.1302, aux.acc_seg: 71.2114, loss: 0.3967 2022-06-18 18:29:49,788 - mmseg - INFO - Iter [134500/160000] lr: 9.818e-06, eta: 1:43:49, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2653, decode.acc_seg: 72.6845, aux.loss_ce: 0.1290, aux.acc_seg: 71.2663, loss: 0.3943 2022-06-18 18:30:01,375 - mmseg - INFO - Iter [134550/160000] lr: 9.799e-06, eta: 1:43:37, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2672, decode.acc_seg: 72.1355, aux.loss_ce: 0.1307, aux.acc_seg: 70.7093, loss: 0.3979 2022-06-18 18:30:13,222 - mmseg - INFO - Iter [134600/160000] lr: 9.780e-06, eta: 1:43:25, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2611, decode.acc_seg: 72.9218, aux.loss_ce: 0.1296, aux.acc_seg: 71.2612, loss: 0.3907 2022-06-18 18:30:24,937 - mmseg - INFO - Iter [134650/160000] lr: 9.760e-06, eta: 1:43:12, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2658, decode.acc_seg: 72.1701, aux.loss_ce: 0.1267, aux.acc_seg: 70.9910, loss: 0.3926 2022-06-18 18:30:36,772 - mmseg - INFO - Iter [134700/160000] lr: 9.741e-06, eta: 1:43:00, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2673, decode.acc_seg: 71.9457, aux.loss_ce: 0.1332, aux.acc_seg: 70.3046, loss: 0.4005 2022-06-18 18:30:48,150 - mmseg - INFO - Iter [134750/160000] lr: 9.722e-06, eta: 1:42:48, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2500, decode.acc_seg: 73.3493, aux.loss_ce: 0.1234, aux.acc_seg: 71.7739, loss: 0.3733 2022-06-18 18:30:59,683 - mmseg - INFO - Iter [134800/160000] lr: 9.703e-06, eta: 1:42:35, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2728, decode.acc_seg: 71.6683, aux.loss_ce: 0.1345, aux.acc_seg: 70.1169, loss: 0.4073 2022-06-18 18:31:11,045 - mmseg - INFO - Iter [134850/160000] lr: 9.683e-06, eta: 1:42:23, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2738, decode.acc_seg: 71.3166, aux.loss_ce: 0.1327, aux.acc_seg: 69.7076, loss: 0.4065 2022-06-18 18:31:22,627 - mmseg - INFO - Iter [134900/160000] lr: 9.664e-06, eta: 1:42:11, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2488, decode.acc_seg: 71.9675, aux.loss_ce: 0.1230, aux.acc_seg: 70.3091, loss: 0.3718 2022-06-18 18:31:34,191 - mmseg - INFO - Iter [134950/160000] lr: 9.645e-06, eta: 1:41:58, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2537, decode.acc_seg: 72.4037, aux.loss_ce: 0.1244, aux.acc_seg: 71.0280, loss: 0.3781 2022-06-18 18:31:45,910 - mmseg - INFO - Saving checkpoint at 135000 iterations 2022-06-18 18:31:46,640 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 18:31:46,640 - mmseg - INFO - Iter [135000/160000] lr: 9.626e-06, eta: 1:41:46, time: 0.249, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2619, decode.acc_seg: 71.7633, aux.loss_ce: 0.1294, aux.acc_seg: 70.2498, loss: 0.3913 2022-06-18 18:31:58,168 - mmseg - INFO - Iter [135050/160000] lr: 9.606e-06, eta: 1:41:34, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2687, decode.acc_seg: 71.3722, aux.loss_ce: 0.1308, aux.acc_seg: 70.0057, loss: 0.3995 2022-06-18 18:32:09,727 - mmseg - INFO - Iter [135100/160000] lr: 9.587e-06, eta: 1:41:21, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2568, decode.acc_seg: 71.9250, aux.loss_ce: 0.1277, aux.acc_seg: 70.3873, loss: 0.3846 2022-06-18 18:32:23,750 - mmseg - INFO - Iter [135150/160000] lr: 9.568e-06, eta: 1:41:10, time: 0.281, data_time: 0.048, memory: 36048, decode.loss_ce: 0.2672, decode.acc_seg: 71.1456, aux.loss_ce: 0.1316, aux.acc_seg: 69.6843, loss: 0.3988 2022-06-18 18:32:35,301 - mmseg - INFO - Iter [135200/160000] lr: 9.549e-06, eta: 1:40:57, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2661, decode.acc_seg: 72.1302, aux.loss_ce: 0.1299, aux.acc_seg: 70.6733, loss: 0.3961 2022-06-18 18:32:46,890 - mmseg - INFO - Iter [135250/160000] lr: 9.529e-06, eta: 1:40:45, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2754, decode.acc_seg: 71.4390, aux.loss_ce: 0.1345, aux.acc_seg: 69.8139, loss: 0.4099 2022-06-18 18:32:58,469 - mmseg - INFO - Iter [135300/160000] lr: 9.510e-06, eta: 1:40:33, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2609, decode.acc_seg: 71.1370, aux.loss_ce: 0.1288, aux.acc_seg: 69.7319, loss: 0.3897 2022-06-18 18:33:10,358 - mmseg - INFO - Iter [135350/160000] lr: 9.491e-06, eta: 1:40:20, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2422, decode.acc_seg: 72.3748, aux.loss_ce: 0.1191, aux.acc_seg: 70.9530, loss: 0.3613 2022-06-18 18:33:22,050 - mmseg - INFO - Iter [135400/160000] lr: 9.472e-06, eta: 1:40:08, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2555, decode.acc_seg: 70.0002, aux.loss_ce: 0.1250, aux.acc_seg: 68.6263, loss: 0.3805 2022-06-18 18:33:33,570 - mmseg - INFO - Iter [135450/160000] lr: 9.452e-06, eta: 1:39:56, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2605, decode.acc_seg: 72.9587, aux.loss_ce: 0.1279, aux.acc_seg: 71.3595, loss: 0.3884 2022-06-18 18:33:45,391 - mmseg - INFO - Iter [135500/160000] lr: 9.433e-06, eta: 1:39:43, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2588, decode.acc_seg: 73.9634, aux.loss_ce: 0.1283, aux.acc_seg: 72.3886, loss: 0.3871 2022-06-18 18:33:57,105 - mmseg - INFO - Iter [135550/160000] lr: 9.414e-06, eta: 1:39:31, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2729, decode.acc_seg: 73.4787, aux.loss_ce: 0.1341, aux.acc_seg: 71.8424, loss: 0.4070 2022-06-18 18:34:08,736 - mmseg - INFO - Iter [135600/160000] lr: 9.395e-06, eta: 1:39:19, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2522, decode.acc_seg: 72.1046, aux.loss_ce: 0.1252, aux.acc_seg: 70.6276, loss: 0.3774 2022-06-18 18:34:20,373 - mmseg - INFO - Iter [135650/160000] lr: 9.375e-06, eta: 1:39:06, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2531, decode.acc_seg: 73.0517, aux.loss_ce: 0.1239, aux.acc_seg: 71.5995, loss: 0.3769 2022-06-18 18:34:32,045 - mmseg - INFO - Iter [135700/160000] lr: 9.356e-06, eta: 1:38:54, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2581, decode.acc_seg: 73.7327, aux.loss_ce: 0.1277, aux.acc_seg: 72.1781, loss: 0.3858 2022-06-18 18:34:43,775 - mmseg - INFO - Iter [135750/160000] lr: 9.337e-06, eta: 1:38:42, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2632, decode.acc_seg: 72.2860, aux.loss_ce: 0.1302, aux.acc_seg: 70.7900, loss: 0.3934 2022-06-18 18:34:55,500 - mmseg - INFO - Iter [135800/160000] lr: 9.318e-06, eta: 1:38:29, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2731, decode.acc_seg: 72.0574, aux.loss_ce: 0.1333, aux.acc_seg: 70.3891, loss: 0.4065 2022-06-18 18:35:07,251 - mmseg - INFO - Iter [135850/160000] lr: 9.298e-06, eta: 1:38:17, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2659, decode.acc_seg: 74.3059, aux.loss_ce: 0.1318, aux.acc_seg: 72.5606, loss: 0.3978 2022-06-18 18:35:18,955 - mmseg - INFO - Iter [135900/160000] lr: 9.279e-06, eta: 1:38:05, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2692, decode.acc_seg: 72.4834, aux.loss_ce: 0.1319, aux.acc_seg: 71.1015, loss: 0.4011 2022-06-18 18:35:30,632 - mmseg - INFO - Iter [135950/160000] lr: 9.260e-06, eta: 1:37:53, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2682, decode.acc_seg: 71.7149, aux.loss_ce: 0.1316, aux.acc_seg: 70.0941, loss: 0.3999 2022-06-18 18:35:42,216 - mmseg - INFO - Saving checkpoint at 136000 iterations 2022-06-18 18:35:42,935 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 18:35:42,935 - mmseg - INFO - Iter [136000/160000] lr: 9.241e-06, eta: 1:37:40, time: 0.246, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2618, decode.acc_seg: 71.5986, aux.loss_ce: 0.1291, aux.acc_seg: 70.1266, loss: 0.3910 2022-06-18 18:35:54,689 - mmseg - INFO - Iter [136050/160000] lr: 9.221e-06, eta: 1:37:28, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2623, decode.acc_seg: 71.0580, aux.loss_ce: 0.1285, aux.acc_seg: 69.6414, loss: 0.3908 2022-06-18 18:36:06,645 - mmseg - INFO - Iter [136100/160000] lr: 9.202e-06, eta: 1:37:16, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2661, decode.acc_seg: 72.5443, aux.loss_ce: 0.1313, aux.acc_seg: 70.8809, loss: 0.3975 2022-06-18 18:36:18,273 - mmseg - INFO - Iter [136150/160000] lr: 9.183e-06, eta: 1:37:04, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2463, decode.acc_seg: 72.2115, aux.loss_ce: 0.1230, aux.acc_seg: 70.6347, loss: 0.3693 2022-06-18 18:36:29,768 - mmseg - INFO - Iter [136200/160000] lr: 9.164e-06, eta: 1:36:51, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2592, decode.acc_seg: 70.9283, aux.loss_ce: 0.1268, aux.acc_seg: 69.4376, loss: 0.3859 2022-06-18 18:36:41,629 - mmseg - INFO - Iter [136250/160000] lr: 9.144e-06, eta: 1:36:39, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2658, decode.acc_seg: 73.5500, aux.loss_ce: 0.1303, aux.acc_seg: 71.9699, loss: 0.3960 2022-06-18 18:36:53,190 - mmseg - INFO - Iter [136300/160000] lr: 9.125e-06, eta: 1:36:27, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2775, decode.acc_seg: 72.2947, aux.loss_ce: 0.1368, aux.acc_seg: 70.7735, loss: 0.4144 2022-06-18 18:37:04,683 - mmseg - INFO - Iter [136350/160000] lr: 9.106e-06, eta: 1:36:14, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2780, decode.acc_seg: 72.0301, aux.loss_ce: 0.1355, aux.acc_seg: 70.4524, loss: 0.4135 2022-06-18 18:37:16,378 - mmseg - INFO - Iter [136400/160000] lr: 9.087e-06, eta: 1:36:02, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2750, decode.acc_seg: 72.4377, aux.loss_ce: 0.1345, aux.acc_seg: 70.8201, loss: 0.4095 2022-06-18 18:37:30,203 - mmseg - INFO - Iter [136450/160000] lr: 9.067e-06, eta: 1:35:50, time: 0.276, data_time: 0.050, memory: 36048, decode.loss_ce: 0.2633, decode.acc_seg: 72.0453, aux.loss_ce: 0.1287, aux.acc_seg: 70.4929, loss: 0.3921 2022-06-18 18:37:41,822 - mmseg - INFO - Iter [136500/160000] lr: 9.048e-06, eta: 1:35:38, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2688, decode.acc_seg: 71.5803, aux.loss_ce: 0.1297, aux.acc_seg: 70.2238, loss: 0.3985 2022-06-18 18:37:53,523 - mmseg - INFO - Iter [136550/160000] lr: 9.029e-06, eta: 1:35:25, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2704, decode.acc_seg: 72.4955, aux.loss_ce: 0.1335, aux.acc_seg: 70.8930, loss: 0.4039 2022-06-18 18:38:05,051 - mmseg - INFO - Iter [136600/160000] lr: 9.010e-06, eta: 1:35:13, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2624, decode.acc_seg: 71.9272, aux.loss_ce: 0.1291, aux.acc_seg: 70.2549, loss: 0.3915 2022-06-18 18:38:16,537 - mmseg - INFO - Iter [136650/160000] lr: 8.990e-06, eta: 1:35:01, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2611, decode.acc_seg: 71.5464, aux.loss_ce: 0.1307, aux.acc_seg: 69.8529, loss: 0.3918 2022-06-18 18:38:28,107 - mmseg - INFO - Iter [136700/160000] lr: 8.971e-06, eta: 1:34:48, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2660, decode.acc_seg: 72.8138, aux.loss_ce: 0.1314, aux.acc_seg: 71.2157, loss: 0.3974 2022-06-18 18:38:39,835 - mmseg - INFO - Iter [136750/160000] lr: 8.952e-06, eta: 1:34:36, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2542, decode.acc_seg: 72.9589, aux.loss_ce: 0.1232, aux.acc_seg: 71.5762, loss: 0.3774 2022-06-18 18:38:51,454 - mmseg - INFO - Iter [136800/160000] lr: 8.933e-06, eta: 1:34:24, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2485, decode.acc_seg: 71.2889, aux.loss_ce: 0.1229, aux.acc_seg: 69.7096, loss: 0.3713 2022-06-18 18:39:03,445 - mmseg - INFO - Iter [136850/160000] lr: 8.913e-06, eta: 1:34:12, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2690, decode.acc_seg: 71.0837, aux.loss_ce: 0.1304, aux.acc_seg: 69.5450, loss: 0.3994 2022-06-18 18:39:15,277 - mmseg - INFO - Iter [136900/160000] lr: 8.894e-06, eta: 1:33:59, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2714, decode.acc_seg: 72.1731, aux.loss_ce: 0.1336, aux.acc_seg: 70.5020, loss: 0.4049 2022-06-18 18:39:26,865 - mmseg - INFO - Iter [136950/160000] lr: 8.875e-06, eta: 1:33:47, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2614, decode.acc_seg: 71.6400, aux.loss_ce: 0.1278, aux.acc_seg: 70.3141, loss: 0.3893 2022-06-18 18:39:38,518 - mmseg - INFO - Saving checkpoint at 137000 iterations 2022-06-18 18:39:39,234 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 18:39:39,234 - mmseg - INFO - Iter [137000/160000] lr: 8.856e-06, eta: 1:33:35, time: 0.248, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2502, decode.acc_seg: 73.0698, aux.loss_ce: 0.1245, aux.acc_seg: 71.5114, loss: 0.3747 2022-06-18 18:39:51,300 - mmseg - INFO - Iter [137050/160000] lr: 8.836e-06, eta: 1:33:23, time: 0.241, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2625, decode.acc_seg: 71.5414, aux.loss_ce: 0.1301, aux.acc_seg: 69.8159, loss: 0.3926 2022-06-18 18:40:02,667 - mmseg - INFO - Iter [137100/160000] lr: 8.817e-06, eta: 1:33:10, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2614, decode.acc_seg: 71.3826, aux.loss_ce: 0.1265, aux.acc_seg: 70.0860, loss: 0.3879 2022-06-18 18:40:14,291 - mmseg - INFO - Iter [137150/160000] lr: 8.798e-06, eta: 1:32:58, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2685, decode.acc_seg: 72.7166, aux.loss_ce: 0.1311, aux.acc_seg: 71.1321, loss: 0.3997 2022-06-18 18:40:25,908 - mmseg - INFO - Iter [137200/160000] lr: 8.779e-06, eta: 1:32:46, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2628, decode.acc_seg: 73.5598, aux.loss_ce: 0.1278, aux.acc_seg: 72.1580, loss: 0.3905 2022-06-18 18:40:37,562 - mmseg - INFO - Iter [137250/160000] lr: 8.759e-06, eta: 1:32:33, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2544, decode.acc_seg: 72.5540, aux.loss_ce: 0.1269, aux.acc_seg: 71.0706, loss: 0.3813 2022-06-18 18:40:49,327 - mmseg - INFO - Iter [137300/160000] lr: 8.740e-06, eta: 1:32:21, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2655, decode.acc_seg: 73.3307, aux.loss_ce: 0.1297, aux.acc_seg: 71.8716, loss: 0.3952 2022-06-18 18:41:01,019 - mmseg - INFO - Iter [137350/160000] lr: 8.721e-06, eta: 1:32:09, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2734, decode.acc_seg: 72.7136, aux.loss_ce: 0.1360, aux.acc_seg: 70.9988, loss: 0.4094 2022-06-18 18:41:12,641 - mmseg - INFO - Iter [137400/160000] lr: 8.702e-06, eta: 1:31:57, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2813, decode.acc_seg: 70.9466, aux.loss_ce: 0.1368, aux.acc_seg: 69.3436, loss: 0.4181 2022-06-18 18:41:24,396 - mmseg - INFO - Iter [137450/160000] lr: 8.682e-06, eta: 1:31:44, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2736, decode.acc_seg: 72.8174, aux.loss_ce: 0.1345, aux.acc_seg: 71.2235, loss: 0.4081 2022-06-18 18:41:35,832 - mmseg - INFO - Iter [137500/160000] lr: 8.663e-06, eta: 1:31:32, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2440, decode.acc_seg: 72.4357, aux.loss_ce: 0.1216, aux.acc_seg: 70.9822, loss: 0.3656 2022-06-18 18:41:47,450 - mmseg - INFO - Iter [137550/160000] lr: 8.644e-06, eta: 1:31:20, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2747, decode.acc_seg: 72.4268, aux.loss_ce: 0.1321, aux.acc_seg: 70.9357, loss: 0.4068 2022-06-18 18:41:58,847 - mmseg - INFO - Iter [137600/160000] lr: 8.625e-06, eta: 1:31:07, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2614, decode.acc_seg: 72.4395, aux.loss_ce: 0.1295, aux.acc_seg: 70.8785, loss: 0.3909 2022-06-18 18:42:10,389 - mmseg - INFO - Iter [137650/160000] lr: 8.605e-06, eta: 1:30:55, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2688, decode.acc_seg: 72.6508, aux.loss_ce: 0.1310, aux.acc_seg: 71.1308, loss: 0.3998 2022-06-18 18:42:24,128 - mmseg - INFO - Iter [137700/160000] lr: 8.586e-06, eta: 1:30:43, time: 0.275, data_time: 0.049, memory: 36048, decode.loss_ce: 0.2609, decode.acc_seg: 73.1258, aux.loss_ce: 0.1290, aux.acc_seg: 71.5811, loss: 0.3900 2022-06-18 18:42:35,788 - mmseg - INFO - Iter [137750/160000] lr: 8.567e-06, eta: 1:30:31, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2522, decode.acc_seg: 71.1113, aux.loss_ce: 0.1248, aux.acc_seg: 69.5587, loss: 0.3770 2022-06-18 18:42:47,510 - mmseg - INFO - Iter [137800/160000] lr: 8.548e-06, eta: 1:30:18, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2536, decode.acc_seg: 71.3474, aux.loss_ce: 0.1256, aux.acc_seg: 69.7910, loss: 0.3792 2022-06-18 18:42:59,391 - mmseg - INFO - Iter [137850/160000] lr: 8.528e-06, eta: 1:30:06, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2738, decode.acc_seg: 72.1397, aux.loss_ce: 0.1358, aux.acc_seg: 70.4037, loss: 0.4096 2022-06-18 18:43:10,905 - mmseg - INFO - Iter [137900/160000] lr: 8.509e-06, eta: 1:29:54, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2611, decode.acc_seg: 73.8639, aux.loss_ce: 0.1275, aux.acc_seg: 72.4844, loss: 0.3887 2022-06-18 18:43:22,664 - mmseg - INFO - Iter [137950/160000] lr: 8.490e-06, eta: 1:29:42, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2515, decode.acc_seg: 72.0604, aux.loss_ce: 0.1239, aux.acc_seg: 70.3674, loss: 0.3754 2022-06-18 18:43:34,437 - mmseg - INFO - Saving checkpoint at 138000 iterations 2022-06-18 18:43:35,152 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 18:43:35,152 - mmseg - INFO - Iter [138000/160000] lr: 8.471e-06, eta: 1:29:29, time: 0.250, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2594, decode.acc_seg: 72.2212, aux.loss_ce: 0.1275, aux.acc_seg: 70.6790, loss: 0.3869 2022-06-18 18:43:46,710 - mmseg - INFO - Iter [138050/160000] lr: 8.451e-06, eta: 1:29:17, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2868, decode.acc_seg: 72.5773, aux.loss_ce: 0.1383, aux.acc_seg: 71.2194, loss: 0.4251 2022-06-18 18:43:58,380 - mmseg - INFO - Iter [138100/160000] lr: 8.432e-06, eta: 1:29:05, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2540, decode.acc_seg: 73.2273, aux.loss_ce: 0.1259, aux.acc_seg: 71.6597, loss: 0.3799 2022-06-18 18:44:10,052 - mmseg - INFO - Iter [138150/160000] lr: 8.413e-06, eta: 1:28:53, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2541, decode.acc_seg: 72.2419, aux.loss_ce: 0.1253, aux.acc_seg: 70.6909, loss: 0.3794 2022-06-18 18:44:21,626 - mmseg - INFO - Iter [138200/160000] lr: 8.394e-06, eta: 1:28:40, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2613, decode.acc_seg: 72.9920, aux.loss_ce: 0.1284, aux.acc_seg: 71.5206, loss: 0.3896 2022-06-18 18:44:33,290 - mmseg - INFO - Iter [138250/160000] lr: 8.374e-06, eta: 1:28:28, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2551, decode.acc_seg: 72.6528, aux.loss_ce: 0.1240, aux.acc_seg: 71.2274, loss: 0.3791 2022-06-18 18:44:45,263 - mmseg - INFO - Iter [138300/160000] lr: 8.355e-06, eta: 1:28:16, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2565, decode.acc_seg: 73.5397, aux.loss_ce: 0.1266, aux.acc_seg: 71.9966, loss: 0.3831 2022-06-18 18:44:57,053 - mmseg - INFO - Iter [138350/160000] lr: 8.336e-06, eta: 1:28:03, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2588, decode.acc_seg: 72.8890, aux.loss_ce: 0.1266, aux.acc_seg: 71.2814, loss: 0.3854 2022-06-18 18:45:08,831 - mmseg - INFO - Iter [138400/160000] lr: 8.317e-06, eta: 1:27:51, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2485, decode.acc_seg: 72.9563, aux.loss_ce: 0.1238, aux.acc_seg: 71.4232, loss: 0.3724 2022-06-18 18:45:20,620 - mmseg - INFO - Iter [138450/160000] lr: 8.297e-06, eta: 1:27:39, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2420, decode.acc_seg: 72.8865, aux.loss_ce: 0.1190, aux.acc_seg: 71.5330, loss: 0.3609 2022-06-18 18:45:32,100 - mmseg - INFO - Iter [138500/160000] lr: 8.278e-06, eta: 1:27:27, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2792, decode.acc_seg: 71.8418, aux.loss_ce: 0.1378, aux.acc_seg: 70.1421, loss: 0.4170 2022-06-18 18:45:43,709 - mmseg - INFO - Iter [138550/160000] lr: 8.259e-06, eta: 1:27:14, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2497, decode.acc_seg: 72.9824, aux.loss_ce: 0.1229, aux.acc_seg: 71.4309, loss: 0.3726 2022-06-18 18:45:55,474 - mmseg - INFO - Iter [138600/160000] lr: 8.240e-06, eta: 1:27:02, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2492, decode.acc_seg: 71.8670, aux.loss_ce: 0.1254, aux.acc_seg: 70.2552, loss: 0.3746 2022-06-18 18:46:07,108 - mmseg - INFO - Iter [138650/160000] lr: 8.220e-06, eta: 1:26:50, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2708, decode.acc_seg: 71.6962, aux.loss_ce: 0.1315, aux.acc_seg: 70.2066, loss: 0.4023 2022-06-18 18:46:18,788 - mmseg - INFO - Iter [138700/160000] lr: 8.201e-06, eta: 1:26:37, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2560, decode.acc_seg: 70.8769, aux.loss_ce: 0.1261, aux.acc_seg: 69.2198, loss: 0.3820 2022-06-18 18:46:30,652 - mmseg - INFO - Iter [138750/160000] lr: 8.182e-06, eta: 1:26:25, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2667, decode.acc_seg: 71.4728, aux.loss_ce: 0.1318, aux.acc_seg: 69.8742, loss: 0.3985 2022-06-18 18:46:42,505 - mmseg - INFO - Iter [138800/160000] lr: 8.163e-06, eta: 1:26:13, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2712, decode.acc_seg: 73.3207, aux.loss_ce: 0.1314, aux.acc_seg: 71.8610, loss: 0.4026 2022-06-18 18:46:54,108 - mmseg - INFO - Iter [138850/160000] lr: 8.143e-06, eta: 1:26:01, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2528, decode.acc_seg: 71.6095, aux.loss_ce: 0.1269, aux.acc_seg: 69.9206, loss: 0.3797 2022-06-18 18:47:05,924 - mmseg - INFO - Iter [138900/160000] lr: 8.124e-06, eta: 1:25:48, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2610, decode.acc_seg: 72.0703, aux.loss_ce: 0.1294, aux.acc_seg: 70.5053, loss: 0.3903 2022-06-18 18:47:19,789 - mmseg - INFO - Iter [138950/160000] lr: 8.105e-06, eta: 1:25:36, time: 0.277, data_time: 0.049, memory: 36048, decode.loss_ce: 0.2696, decode.acc_seg: 71.7721, aux.loss_ce: 0.1346, aux.acc_seg: 70.1593, loss: 0.4042 2022-06-18 18:47:31,694 - mmseg - INFO - Saving checkpoint at 139000 iterations 2022-06-18 18:47:32,463 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 18:47:32,463 - mmseg - INFO - Iter [139000/160000] lr: 8.086e-06, eta: 1:25:24, time: 0.254, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2744, decode.acc_seg: 71.8344, aux.loss_ce: 0.1355, aux.acc_seg: 70.2552, loss: 0.4099 2022-06-18 18:47:44,096 - mmseg - INFO - Iter [139050/160000] lr: 8.066e-06, eta: 1:25:12, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2569, decode.acc_seg: 71.4463, aux.loss_ce: 0.1260, aux.acc_seg: 69.9340, loss: 0.3829 2022-06-18 18:47:55,823 - mmseg - INFO - Iter [139100/160000] lr: 8.047e-06, eta: 1:25:00, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2520, decode.acc_seg: 73.5535, aux.loss_ce: 0.1235, aux.acc_seg: 72.0863, loss: 0.3755 2022-06-18 18:48:07,611 - mmseg - INFO - Iter [139150/160000] lr: 8.028e-06, eta: 1:24:47, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2740, decode.acc_seg: 71.5349, aux.loss_ce: 0.1347, aux.acc_seg: 69.9072, loss: 0.4087 2022-06-18 18:48:19,390 - mmseg - INFO - Iter [139200/160000] lr: 8.009e-06, eta: 1:24:35, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2540, decode.acc_seg: 72.4945, aux.loss_ce: 0.1259, aux.acc_seg: 70.8606, loss: 0.3798 2022-06-18 18:48:31,237 - mmseg - INFO - Iter [139250/160000] lr: 7.989e-06, eta: 1:24:23, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2705, decode.acc_seg: 71.3926, aux.loss_ce: 0.1345, aux.acc_seg: 69.7580, loss: 0.4050 2022-06-18 18:48:43,064 - mmseg - INFO - Iter [139300/160000] lr: 7.970e-06, eta: 1:24:11, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2776, decode.acc_seg: 70.9995, aux.loss_ce: 0.1366, aux.acc_seg: 69.3291, loss: 0.4142 2022-06-18 18:48:54,642 - mmseg - INFO - Iter [139350/160000] lr: 7.951e-06, eta: 1:23:58, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2574, decode.acc_seg: 73.4172, aux.loss_ce: 0.1260, aux.acc_seg: 71.9865, loss: 0.3834 2022-06-18 18:49:06,318 - mmseg - INFO - Iter [139400/160000] lr: 7.932e-06, eta: 1:23:46, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2579, decode.acc_seg: 72.1857, aux.loss_ce: 0.1257, aux.acc_seg: 70.5408, loss: 0.3836 2022-06-18 18:49:17,979 - mmseg - INFO - Iter [139450/160000] lr: 7.912e-06, eta: 1:23:34, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2776, decode.acc_seg: 71.8116, aux.loss_ce: 0.1369, aux.acc_seg: 70.2066, loss: 0.4145 2022-06-18 18:49:30,017 - mmseg - INFO - Iter [139500/160000] lr: 7.893e-06, eta: 1:23:22, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2488, decode.acc_seg: 72.4657, aux.loss_ce: 0.1232, aux.acc_seg: 70.8195, loss: 0.3720 2022-06-18 18:49:41,717 - mmseg - INFO - Iter [139550/160000] lr: 7.874e-06, eta: 1:23:09, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2650, decode.acc_seg: 73.3200, aux.loss_ce: 0.1316, aux.acc_seg: 71.6767, loss: 0.3966 2022-06-18 18:49:53,168 - mmseg - INFO - Iter [139600/160000] lr: 7.855e-06, eta: 1:22:57, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2578, decode.acc_seg: 73.1213, aux.loss_ce: 0.1254, aux.acc_seg: 71.7994, loss: 0.3832 2022-06-18 18:50:04,887 - mmseg - INFO - Iter [139650/160000] lr: 7.835e-06, eta: 1:22:45, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2724, decode.acc_seg: 71.9319, aux.loss_ce: 0.1360, aux.acc_seg: 70.1875, loss: 0.4084 2022-06-18 18:50:16,661 - mmseg - INFO - Iter [139700/160000] lr: 7.816e-06, eta: 1:22:33, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2646, decode.acc_seg: 73.3741, aux.loss_ce: 0.1307, aux.acc_seg: 71.5987, loss: 0.3954 2022-06-18 18:50:28,298 - mmseg - INFO - Iter [139750/160000] lr: 7.797e-06, eta: 1:22:20, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2560, decode.acc_seg: 72.5886, aux.loss_ce: 0.1282, aux.acc_seg: 70.7572, loss: 0.3842 2022-06-18 18:50:40,070 - mmseg - INFO - Iter [139800/160000] lr: 7.778e-06, eta: 1:22:08, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2543, decode.acc_seg: 73.2565, aux.loss_ce: 0.1270, aux.acc_seg: 71.6311, loss: 0.3814 2022-06-18 18:50:51,686 - mmseg - INFO - Iter [139850/160000] lr: 7.758e-06, eta: 1:21:56, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2662, decode.acc_seg: 73.5026, aux.loss_ce: 0.1324, aux.acc_seg: 71.7405, loss: 0.3985 2022-06-18 18:51:03,334 - mmseg - INFO - Iter [139900/160000] lr: 7.739e-06, eta: 1:21:43, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2754, decode.acc_seg: 71.9580, aux.loss_ce: 0.1342, aux.acc_seg: 70.5932, loss: 0.4095 2022-06-18 18:51:14,759 - mmseg - INFO - Iter [139950/160000] lr: 7.720e-06, eta: 1:21:31, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2571, decode.acc_seg: 72.4811, aux.loss_ce: 0.1261, aux.acc_seg: 71.0374, loss: 0.3833 2022-06-18 18:51:26,518 - mmseg - INFO - Saving checkpoint at 140000 iterations 2022-06-18 18:51:27,262 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 18:51:27,262 - mmseg - INFO - Iter [140000/160000] lr: 7.701e-06, eta: 1:21:19, time: 0.250, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2563, decode.acc_seg: 71.3954, aux.loss_ce: 0.1258, aux.acc_seg: 69.8590, loss: 0.3821 2022-06-18 18:51:39,046 - mmseg - INFO - Iter [140050/160000] lr: 7.681e-06, eta: 1:21:07, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2553, decode.acc_seg: 72.5504, aux.loss_ce: 0.1266, aux.acc_seg: 70.9535, loss: 0.3819 2022-06-18 18:51:50,708 - mmseg - INFO - Iter [140100/160000] lr: 7.662e-06, eta: 1:20:54, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2558, decode.acc_seg: 70.6295, aux.loss_ce: 0.1270, aux.acc_seg: 69.0100, loss: 0.3828 2022-06-18 18:52:02,530 - mmseg - INFO - Iter [140150/160000] lr: 7.643e-06, eta: 1:20:42, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2506, decode.acc_seg: 72.3556, aux.loss_ce: 0.1226, aux.acc_seg: 70.9356, loss: 0.3732 2022-06-18 18:52:16,217 - mmseg - INFO - Iter [140200/160000] lr: 7.624e-06, eta: 1:20:30, time: 0.274, data_time: 0.049, memory: 36048, decode.loss_ce: 0.2585, decode.acc_seg: 71.0746, aux.loss_ce: 0.1263, aux.acc_seg: 69.6702, loss: 0.3848 2022-06-18 18:52:27,883 - mmseg - INFO - Iter [140250/160000] lr: 7.604e-06, eta: 1:20:18, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2600, decode.acc_seg: 71.7301, aux.loss_ce: 0.1282, aux.acc_seg: 70.1247, loss: 0.3883 2022-06-18 18:52:39,330 - mmseg - INFO - Iter [140300/160000] lr: 7.585e-06, eta: 1:20:06, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2441, decode.acc_seg: 72.4391, aux.loss_ce: 0.1206, aux.acc_seg: 71.1232, loss: 0.3647 2022-06-18 18:52:50,982 - mmseg - INFO - Iter [140350/160000] lr: 7.566e-06, eta: 1:19:53, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2600, decode.acc_seg: 73.3102, aux.loss_ce: 0.1305, aux.acc_seg: 71.3807, loss: 0.3905 2022-06-18 18:53:02,677 - mmseg - INFO - Iter [140400/160000] lr: 7.547e-06, eta: 1:19:41, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2657, decode.acc_seg: 73.8644, aux.loss_ce: 0.1294, aux.acc_seg: 72.4100, loss: 0.3951 2022-06-18 18:53:14,395 - mmseg - INFO - Iter [140450/160000] lr: 7.527e-06, eta: 1:19:29, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2521, decode.acc_seg: 72.4287, aux.loss_ce: 0.1233, aux.acc_seg: 70.9898, loss: 0.3754 2022-06-18 18:53:26,084 - mmseg - INFO - Iter [140500/160000] lr: 7.508e-06, eta: 1:19:17, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2725, decode.acc_seg: 72.6594, aux.loss_ce: 0.1325, aux.acc_seg: 71.0774, loss: 0.4050 2022-06-18 18:53:37,842 - mmseg - INFO - Iter [140550/160000] lr: 7.489e-06, eta: 1:19:04, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2788, decode.acc_seg: 72.9381, aux.loss_ce: 0.1339, aux.acc_seg: 71.5144, loss: 0.4127 2022-06-18 18:53:49,580 - mmseg - INFO - Iter [140600/160000] lr: 7.470e-06, eta: 1:18:52, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2564, decode.acc_seg: 70.6431, aux.loss_ce: 0.1276, aux.acc_seg: 69.1531, loss: 0.3840 2022-06-18 18:54:01,090 - mmseg - INFO - Iter [140650/160000] lr: 7.450e-06, eta: 1:18:40, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2753, decode.acc_seg: 71.9672, aux.loss_ce: 0.1355, aux.acc_seg: 70.3390, loss: 0.4108 2022-06-18 18:54:12,573 - mmseg - INFO - Iter [140700/160000] lr: 7.431e-06, eta: 1:18:27, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2535, decode.acc_seg: 71.4914, aux.loss_ce: 0.1258, aux.acc_seg: 70.0732, loss: 0.3794 2022-06-18 18:54:24,326 - mmseg - INFO - Iter [140750/160000] lr: 7.412e-06, eta: 1:18:15, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2653, decode.acc_seg: 72.4352, aux.loss_ce: 0.1295, aux.acc_seg: 71.0040, loss: 0.3947 2022-06-18 18:54:35,915 - mmseg - INFO - Iter [140800/160000] lr: 7.393e-06, eta: 1:18:03, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2607, decode.acc_seg: 72.5545, aux.loss_ce: 0.1294, aux.acc_seg: 70.8019, loss: 0.3900 2022-06-18 18:54:47,451 - mmseg - INFO - Iter [140850/160000] lr: 7.373e-06, eta: 1:17:51, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2630, decode.acc_seg: 73.0854, aux.loss_ce: 0.1301, aux.acc_seg: 71.5171, loss: 0.3931 2022-06-18 18:54:59,199 - mmseg - INFO - Iter [140900/160000] lr: 7.354e-06, eta: 1:17:38, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2413, decode.acc_seg: 73.7119, aux.loss_ce: 0.1181, aux.acc_seg: 72.2878, loss: 0.3594 2022-06-18 18:55:10,995 - mmseg - INFO - Iter [140950/160000] lr: 7.335e-06, eta: 1:17:26, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2574, decode.acc_seg: 72.4733, aux.loss_ce: 0.1271, aux.acc_seg: 70.9739, loss: 0.3845 2022-06-18 18:55:22,558 - mmseg - INFO - Saving checkpoint at 141000 iterations 2022-06-18 18:55:23,276 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 18:55:23,276 - mmseg - INFO - Iter [141000/160000] lr: 7.316e-06, eta: 1:17:14, time: 0.246, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2579, decode.acc_seg: 72.1845, aux.loss_ce: 0.1281, aux.acc_seg: 70.5912, loss: 0.3860 2022-06-18 18:55:35,029 - mmseg - INFO - Iter [141050/160000] lr: 7.296e-06, eta: 1:17:02, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2582, decode.acc_seg: 71.6167, aux.loss_ce: 0.1287, aux.acc_seg: 70.0021, loss: 0.3869 2022-06-18 18:55:46,928 - mmseg - INFO - Iter [141100/160000] lr: 7.277e-06, eta: 1:16:49, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2690, decode.acc_seg: 72.1756, aux.loss_ce: 0.1321, aux.acc_seg: 70.7021, loss: 0.4011 2022-06-18 18:55:58,439 - mmseg - INFO - Iter [141150/160000] lr: 7.258e-06, eta: 1:16:37, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2442, decode.acc_seg: 71.3823, aux.loss_ce: 0.1207, aux.acc_seg: 69.8579, loss: 0.3648 2022-06-18 18:56:10,080 - mmseg - INFO - Iter [141200/160000] lr: 7.239e-06, eta: 1:16:25, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2494, decode.acc_seg: 72.4733, aux.loss_ce: 0.1243, aux.acc_seg: 70.8378, loss: 0.3737 2022-06-18 18:56:21,811 - mmseg - INFO - Iter [141250/160000] lr: 7.219e-06, eta: 1:16:13, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2630, decode.acc_seg: 73.3923, aux.loss_ce: 0.1292, aux.acc_seg: 71.7434, loss: 0.3922 2022-06-18 18:56:33,637 - mmseg - INFO - Iter [141300/160000] lr: 7.200e-06, eta: 1:16:00, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2695, decode.acc_seg: 71.1678, aux.loss_ce: 0.1316, aux.acc_seg: 69.6255, loss: 0.4012 2022-06-18 18:56:45,117 - mmseg - INFO - Iter [141350/160000] lr: 7.181e-06, eta: 1:15:48, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2620, decode.acc_seg: 73.9816, aux.loss_ce: 0.1304, aux.acc_seg: 72.2942, loss: 0.3923 2022-06-18 18:56:56,884 - mmseg - INFO - Iter [141400/160000] lr: 7.162e-06, eta: 1:15:36, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2600, decode.acc_seg: 73.7510, aux.loss_ce: 0.1268, aux.acc_seg: 72.3553, loss: 0.3868 2022-06-18 18:57:08,489 - mmseg - INFO - Iter [141450/160000] lr: 7.142e-06, eta: 1:15:24, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2644, decode.acc_seg: 72.7042, aux.loss_ce: 0.1328, aux.acc_seg: 70.9308, loss: 0.3972 2022-06-18 18:57:22,184 - mmseg - INFO - Iter [141500/160000] lr: 7.123e-06, eta: 1:15:12, time: 0.274, data_time: 0.049, memory: 36048, decode.loss_ce: 0.2530, decode.acc_seg: 72.6854, aux.loss_ce: 0.1269, aux.acc_seg: 70.9596, loss: 0.3799 2022-06-18 18:57:33,964 - mmseg - INFO - Iter [141550/160000] lr: 7.104e-06, eta: 1:14:59, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2547, decode.acc_seg: 72.7195, aux.loss_ce: 0.1268, aux.acc_seg: 71.1307, loss: 0.3815 2022-06-18 18:57:45,643 - mmseg - INFO - Iter [141600/160000] lr: 7.085e-06, eta: 1:14:47, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2492, decode.acc_seg: 72.6182, aux.loss_ce: 0.1224, aux.acc_seg: 71.0709, loss: 0.3717 2022-06-18 18:57:57,509 - mmseg - INFO - Iter [141650/160000] lr: 7.065e-06, eta: 1:14:35, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2547, decode.acc_seg: 72.0217, aux.loss_ce: 0.1257, aux.acc_seg: 70.4814, loss: 0.3804 2022-06-18 18:58:09,280 - mmseg - INFO - Iter [141700/160000] lr: 7.046e-06, eta: 1:14:23, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2547, decode.acc_seg: 71.6323, aux.loss_ce: 0.1257, aux.acc_seg: 70.1218, loss: 0.3804 2022-06-18 18:58:20,973 - mmseg - INFO - Iter [141750/160000] lr: 7.027e-06, eta: 1:14:10, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2660, decode.acc_seg: 73.4514, aux.loss_ce: 0.1299, aux.acc_seg: 71.8821, loss: 0.3959 2022-06-18 18:58:32,633 - mmseg - INFO - Iter [141800/160000] lr: 7.008e-06, eta: 1:13:58, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2614, decode.acc_seg: 71.9653, aux.loss_ce: 0.1301, aux.acc_seg: 70.2532, loss: 0.3914 2022-06-18 18:58:44,325 - mmseg - INFO - Iter [141850/160000] lr: 6.988e-06, eta: 1:13:46, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2545, decode.acc_seg: 72.1231, aux.loss_ce: 0.1266, aux.acc_seg: 70.5086, loss: 0.3811 2022-06-18 18:58:55,858 - mmseg - INFO - Iter [141900/160000] lr: 6.969e-06, eta: 1:13:33, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2497, decode.acc_seg: 72.2786, aux.loss_ce: 0.1236, aux.acc_seg: 70.9008, loss: 0.3733 2022-06-18 18:59:07,958 - mmseg - INFO - Iter [141950/160000] lr: 6.950e-06, eta: 1:13:21, time: 0.242, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2548, decode.acc_seg: 72.4013, aux.loss_ce: 0.1264, aux.acc_seg: 70.7015, loss: 0.3812 2022-06-18 18:59:19,593 - mmseg - INFO - Saving checkpoint at 142000 iterations 2022-06-18 18:59:20,354 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 18:59:20,354 - mmseg - INFO - Iter [142000/160000] lr: 6.931e-06, eta: 1:13:09, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2598, decode.acc_seg: 73.3531, aux.loss_ce: 0.1265, aux.acc_seg: 71.9007, loss: 0.3862 2022-06-18 18:59:32,071 - mmseg - INFO - Iter [142050/160000] lr: 6.911e-06, eta: 1:12:57, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2620, decode.acc_seg: 73.8577, aux.loss_ce: 0.1312, aux.acc_seg: 72.0838, loss: 0.3932 2022-06-18 18:59:43,574 - mmseg - INFO - Iter [142100/160000] lr: 6.892e-06, eta: 1:12:45, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2535, decode.acc_seg: 73.6277, aux.loss_ce: 0.1261, aux.acc_seg: 71.8721, loss: 0.3796 2022-06-18 18:59:54,966 - mmseg - INFO - Iter [142150/160000] lr: 6.873e-06, eta: 1:12:32, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2613, decode.acc_seg: 71.9904, aux.loss_ce: 0.1291, aux.acc_seg: 70.4485, loss: 0.3904 2022-06-18 19:00:06,641 - mmseg - INFO - Iter [142200/160000] lr: 6.854e-06, eta: 1:12:20, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2787, decode.acc_seg: 72.2508, aux.loss_ce: 0.1359, aux.acc_seg: 70.6515, loss: 0.4146 2022-06-18 19:00:18,243 - mmseg - INFO - Iter [142250/160000] lr: 6.834e-06, eta: 1:12:08, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2481, decode.acc_seg: 71.4649, aux.loss_ce: 0.1240, aux.acc_seg: 69.8917, loss: 0.3721 2022-06-18 19:00:29,796 - mmseg - INFO - Iter [142300/160000] lr: 6.815e-06, eta: 1:11:55, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2551, decode.acc_seg: 72.1071, aux.loss_ce: 0.1256, aux.acc_seg: 70.6370, loss: 0.3807 2022-06-18 19:00:41,344 - mmseg - INFO - Iter [142350/160000] lr: 6.796e-06, eta: 1:11:43, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2468, decode.acc_seg: 73.3114, aux.loss_ce: 0.1239, aux.acc_seg: 71.7354, loss: 0.3707 2022-06-18 19:00:52,943 - mmseg - INFO - Iter [142400/160000] lr: 6.777e-06, eta: 1:11:31, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2594, decode.acc_seg: 71.3711, aux.loss_ce: 0.1277, aux.acc_seg: 69.7386, loss: 0.3872 2022-06-18 19:01:04,828 - mmseg - INFO - Iter [142450/160000] lr: 6.757e-06, eta: 1:11:19, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2691, decode.acc_seg: 72.0353, aux.loss_ce: 0.1326, aux.acc_seg: 70.3984, loss: 0.4017 2022-06-18 19:01:16,455 - mmseg - INFO - Iter [142500/160000] lr: 6.738e-06, eta: 1:11:06, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2529, decode.acc_seg: 74.1585, aux.loss_ce: 0.1243, aux.acc_seg: 72.7705, loss: 0.3772 2022-06-18 19:01:27,938 - mmseg - INFO - Iter [142550/160000] lr: 6.719e-06, eta: 1:10:54, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2594, decode.acc_seg: 71.4791, aux.loss_ce: 0.1269, aux.acc_seg: 70.0098, loss: 0.3862 2022-06-18 19:01:39,501 - mmseg - INFO - Iter [142600/160000] lr: 6.699e-06, eta: 1:10:42, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2693, decode.acc_seg: 74.1711, aux.loss_ce: 0.1330, aux.acc_seg: 72.6293, loss: 0.4024 2022-06-18 19:01:51,277 - mmseg - INFO - Iter [142650/160000] lr: 6.680e-06, eta: 1:10:30, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2638, decode.acc_seg: 72.0121, aux.loss_ce: 0.1293, aux.acc_seg: 70.6024, loss: 0.3931 2022-06-18 19:02:02,883 - mmseg - INFO - Iter [142700/160000] lr: 6.661e-06, eta: 1:10:17, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2583, decode.acc_seg: 73.5602, aux.loss_ce: 0.1279, aux.acc_seg: 71.9462, loss: 0.3862 2022-06-18 19:02:16,777 - mmseg - INFO - Iter [142750/160000] lr: 6.642e-06, eta: 1:10:05, time: 0.277, data_time: 0.049, memory: 36048, decode.loss_ce: 0.2799, decode.acc_seg: 71.8222, aux.loss_ce: 0.1368, aux.acc_seg: 70.2202, loss: 0.4167 2022-06-18 19:02:28,451 - mmseg - INFO - Iter [142800/160000] lr: 6.622e-06, eta: 1:09:53, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2518, decode.acc_seg: 72.8585, aux.loss_ce: 0.1259, aux.acc_seg: 71.2888, loss: 0.3777 2022-06-18 19:02:40,202 - mmseg - INFO - Iter [142850/160000] lr: 6.603e-06, eta: 1:09:41, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2468, decode.acc_seg: 72.3141, aux.loss_ce: 0.1238, aux.acc_seg: 70.6448, loss: 0.3706 2022-06-18 19:02:51,800 - mmseg - INFO - Iter [142900/160000] lr: 6.584e-06, eta: 1:09:29, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2588, decode.acc_seg: 71.8168, aux.loss_ce: 0.1279, aux.acc_seg: 70.3580, loss: 0.3867 2022-06-18 19:03:03,413 - mmseg - INFO - Iter [142950/160000] lr: 6.565e-06, eta: 1:09:16, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2490, decode.acc_seg: 72.3066, aux.loss_ce: 0.1242, aux.acc_seg: 70.6226, loss: 0.3732 2022-06-18 19:03:15,142 - mmseg - INFO - Saving checkpoint at 143000 iterations 2022-06-18 19:03:15,868 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 19:03:15,868 - mmseg - INFO - Iter [143000/160000] lr: 6.545e-06, eta: 1:09:04, time: 0.249, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2609, decode.acc_seg: 71.8255, aux.loss_ce: 0.1292, aux.acc_seg: 70.1573, loss: 0.3901 2022-06-18 19:03:27,579 - mmseg - INFO - Iter [143050/160000] lr: 6.526e-06, eta: 1:08:52, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2559, decode.acc_seg: 72.7563, aux.loss_ce: 0.1273, aux.acc_seg: 71.0946, loss: 0.3832 2022-06-18 19:03:39,262 - mmseg - INFO - Iter [143100/160000] lr: 6.507e-06, eta: 1:08:40, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2593, decode.acc_seg: 72.6219, aux.loss_ce: 0.1285, aux.acc_seg: 70.8885, loss: 0.3878 2022-06-18 19:03:50,768 - mmseg - INFO - Iter [143150/160000] lr: 6.488e-06, eta: 1:08:27, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2547, decode.acc_seg: 71.9673, aux.loss_ce: 0.1260, aux.acc_seg: 70.4246, loss: 0.3808 2022-06-18 19:04:02,362 - mmseg - INFO - Iter [143200/160000] lr: 6.468e-06, eta: 1:08:15, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2517, decode.acc_seg: 72.9241, aux.loss_ce: 0.1258, aux.acc_seg: 71.3835, loss: 0.3775 2022-06-18 19:04:13,987 - mmseg - INFO - Iter [143250/160000] lr: 6.449e-06, eta: 1:08:03, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2516, decode.acc_seg: 72.7719, aux.loss_ce: 0.1221, aux.acc_seg: 71.4215, loss: 0.3738 2022-06-18 19:04:25,632 - mmseg - INFO - Iter [143300/160000] lr: 6.430e-06, eta: 1:07:51, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2502, decode.acc_seg: 72.0568, aux.loss_ce: 0.1237, aux.acc_seg: 70.4855, loss: 0.3739 2022-06-18 19:04:37,113 - mmseg - INFO - Iter [143350/160000] lr: 6.411e-06, eta: 1:07:38, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2522, decode.acc_seg: 71.9819, aux.loss_ce: 0.1252, aux.acc_seg: 70.4955, loss: 0.3774 2022-06-18 19:04:48,726 - mmseg - INFO - Iter [143400/160000] lr: 6.391e-06, eta: 1:07:26, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2519, decode.acc_seg: 72.4008, aux.loss_ce: 0.1272, aux.acc_seg: 70.6486, loss: 0.3791 2022-06-18 19:05:00,249 - mmseg - INFO - Iter [143450/160000] lr: 6.372e-06, eta: 1:07:14, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2347, decode.acc_seg: 72.4159, aux.loss_ce: 0.1173, aux.acc_seg: 70.9235, loss: 0.3520 2022-06-18 19:05:12,144 - mmseg - INFO - Iter [143500/160000] lr: 6.353e-06, eta: 1:07:02, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2537, decode.acc_seg: 72.8012, aux.loss_ce: 0.1275, aux.acc_seg: 70.9974, loss: 0.3812 2022-06-18 19:05:23,809 - mmseg - INFO - Iter [143550/160000] lr: 6.334e-06, eta: 1:06:49, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2646, decode.acc_seg: 71.6274, aux.loss_ce: 0.1285, aux.acc_seg: 70.1498, loss: 0.3931 2022-06-18 19:05:35,394 - mmseg - INFO - Iter [143600/160000] lr: 6.314e-06, eta: 1:06:37, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2790, decode.acc_seg: 72.7726, aux.loss_ce: 0.1395, aux.acc_seg: 71.0157, loss: 0.4185 2022-06-18 19:05:47,223 - mmseg - INFO - Iter [143650/160000] lr: 6.295e-06, eta: 1:06:25, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2607, decode.acc_seg: 71.9019, aux.loss_ce: 0.1310, aux.acc_seg: 70.2487, loss: 0.3916 2022-06-18 19:05:58,681 - mmseg - INFO - Iter [143700/160000] lr: 6.276e-06, eta: 1:06:13, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2738, decode.acc_seg: 73.3149, aux.loss_ce: 0.1351, aux.acc_seg: 71.5906, loss: 0.4089 2022-06-18 19:06:10,135 - mmseg - INFO - Iter [143750/160000] lr: 6.257e-06, eta: 1:06:00, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2552, decode.acc_seg: 73.3220, aux.loss_ce: 0.1258, aux.acc_seg: 71.8318, loss: 0.3810 2022-06-18 19:06:21,883 - mmseg - INFO - Iter [143800/160000] lr: 6.237e-06, eta: 1:05:48, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2572, decode.acc_seg: 71.6002, aux.loss_ce: 0.1262, aux.acc_seg: 70.1760, loss: 0.3834 2022-06-18 19:06:33,612 - mmseg - INFO - Iter [143850/160000] lr: 6.218e-06, eta: 1:05:36, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2439, decode.acc_seg: 71.4934, aux.loss_ce: 0.1208, aux.acc_seg: 70.0582, loss: 0.3648 2022-06-18 19:06:45,213 - mmseg - INFO - Iter [143900/160000] lr: 6.199e-06, eta: 1:05:24, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2540, decode.acc_seg: 71.7203, aux.loss_ce: 0.1271, aux.acc_seg: 70.0435, loss: 0.3811 2022-06-18 19:06:56,461 - mmseg - INFO - Iter [143950/160000] lr: 6.180e-06, eta: 1:05:11, time: 0.225, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2580, decode.acc_seg: 72.5565, aux.loss_ce: 0.1292, aux.acc_seg: 70.7438, loss: 0.3872 2022-06-18 19:07:10,459 - mmseg - INFO - Saving checkpoint at 144000 iterations 2022-06-18 19:07:11,238 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 19:07:11,238 - mmseg - INFO - Iter [144000/160000] lr: 6.160e-06, eta: 1:05:00, time: 0.296, data_time: 0.050, memory: 36048, decode.loss_ce: 0.2517, decode.acc_seg: 73.3580, aux.loss_ce: 0.1238, aux.acc_seg: 71.9441, loss: 0.3755 2022-06-18 19:07:29,849 - mmseg - INFO - per class results: 2022-06-18 19:07:29,855 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 73.68 | 86.76 | | building | 79.94 | 91.8 | | sky | 93.88 | 97.01 | | floor | 78.79 | 89.52 | | tree | 72.21 | 85.87 | | ceiling | 81.53 | 90.4 | | road | 80.02 | 87.06 | | bed | 84.79 | 93.96 | | windowpane | 57.32 | 75.26 | | grass | 64.79 | 79.05 | | cabinet | 54.52 | 67.93 | | sidewalk | 58.59 | 78.77 | | person | 76.52 | 90.63 | | earth | 32.05 | 44.76 | | door | 40.39 | 55.22 | | table | 51.88 | 69.82 | | mountain | 52.32 | 70.29 | | plant | 49.54 | 63.14 | | curtain | 69.09 | 79.89 | | chair | 49.12 | 65.64 | | car | 79.3 | 90.12 | | water | 48.59 | 60.81 | | painting | 65.16 | 84.19 | | sofa | 60.04 | 79.16 | | shelf | 38.08 | 54.85 | | house | 42.22 | 57.36 | | sea | 48.01 | 79.14 | | mirror | 58.68 | 68.1 | | rug | 61.14 | 67.76 | | field | 30.56 | 48.57 | | armchair | 38.07 | 54.29 | | seat | 53.39 | 67.83 | | fence | 35.14 | 46.22 | | desk | 41.81 | 62.53 | | rock | 34.63 | 54.46 | | wardrobe | 48.59 | 67.8 | | lamp | 53.78 | 69.25 | | bathtub | 68.34 | 75.73 | | railing | 25.31 | 37.9 | | cushion | 47.44 | 59.39 | | base | 26.94 | 35.43 | | box | 19.8 | 27.97 | | column | 39.79 | 48.3 | | signboard | 31.21 | 39.85 | | chest of drawers | 36.37 | 57.13 | | counter | 20.41 | 27.42 | | sand | 31.45 | 54.49 | | sink | 63.05 | 73.02 | | skyscraper | 46.89 | 60.85 | | fireplace | 73.42 | 87.7 | | refrigerator | 66.38 | 73.96 | | grandstand | 38.82 | 64.06 | | path | 21.67 | 30.99 | | stairs | 22.63 | 27.08 | | runway | 71.24 | 91.79 | | case | 34.37 | 45.8 | | pool table | 92.07 | 95.7 | | pillow | 53.2 | 65.15 | | screen door | 57.02 | 68.23 | | stairway | 22.78 | 33.86 | | river | 11.89 | 18.5 | | bridge | 47.26 | 57.12 | | bookcase | 42.38 | 67.36 | | blind | 35.24 | 41.34 | | coffee table | 51.68 | 74.39 | | toilet | 78.9 | 87.34 | | flower | 37.42 | 48.22 | | book | 43.02 | 60.0 | | hill | 10.75 | 20.51 | | bench | 36.34 | 44.47 | | countertop | 49.89 | 71.37 | | stove | 63.18 | 71.94 | | palm | 43.48 | 67.3 | | kitchen island | 25.82 | 47.2 | | computer | 50.91 | 63.86 | | swivel chair | 35.2 | 50.71 | | boat | 32.73 | 37.8 | | bar | 18.94 | 25.32 | | arcade machine | 15.79 | 16.74 | | hovel | 18.37 | 30.63 | | bus | 78.27 | 88.08 | | towel | 47.98 | 60.81 | | light | 51.31 | 59.99 | | truck | 11.82 | 19.63 | | tower | 20.68 | 33.69 | | chandelier | 58.79 | 70.51 | | awning | 23.6 | 29.83 | | streetlight | 17.43 | 22.31 | | booth | 52.36 | 68.61 | | television receiver | 52.19 | 70.85 | | airplane | 50.82 | 65.22 | | dirt track | 6.58 | 12.49 | | apparel | 32.56 | 49.25 | | pole | 16.6 | 22.42 | | land | 3.84 | 7.24 | | bannister | 7.72 | 12.36 | | escalator | 14.53 | 15.58 | | ottoman | 39.63 | 55.35 | | bottle | 30.7 | 47.16 | | buffet | 37.07 | 42.26 | | poster | 21.03 | 27.05 | | stage | 13.33 | 25.56 | | van | 39.09 | 50.8 | | ship | 37.51 | 57.92 | | fountain | 16.65 | 17.55 | | conveyer belt | 74.79 | 80.78 | | canopy | 27.64 | 34.84 | | washer | 70.3 | 72.8 | | plaything | 17.01 | 24.79 | | swimming pool | 66.5 | 82.32 | | stool | 32.22 | 43.78 | | barrel | 39.61 | 40.69 | | basket | 17.12 | 21.55 | | waterfall | 58.94 | 65.29 | | tent | 89.08 | 98.84 | | bag | 4.63 | 5.75 | | minibike | 47.85 | 56.88 | | cradle | 79.33 | 95.29 | | oven | 26.64 | 36.39 | | ball | 30.43 | 32.6 | | food | 52.24 | 62.61 | | step | 6.53 | 9.17 | | tank | 39.95 | 46.52 | | trade name | 21.43 | 23.01 | | microwave | 36.27 | 40.45 | | pot | 29.89 | 34.17 | | animal | 52.56 | 58.8 | | bicycle | 39.55 | 63.53 | | lake | 62.44 | 63.49 | | dishwasher | 49.87 | 64.23 | | screen | 58.19 | 77.52 | | blanket | 9.49 | 10.97 | | sculpture | 25.4 | 31.71 | | hood | 49.92 | 58.81 | | sconce | 33.63 | 40.06 | | vase | 24.47 | 34.56 | | traffic light | 19.76 | 31.41 | | tray | 4.5 | 8.73 | | ashcan | 32.65 | 39.42 | | fan | 51.14 | 69.13 | | pier | 30.55 | 43.9 | | crt screen | 1.34 | 2.39 | | plate | 42.96 | 53.8 | | monitor | 34.62 | 48.94 | | bulletin board | 34.5 | 41.61 | | shower | 0.0 | 0.0 | | radiator | 49.68 | 59.06 | | glass | 6.85 | 8.25 | | clock | 16.53 | 18.78 | | flag | 27.99 | 30.19 | +---------------------+-------+-------+ 2022-06-18 19:07:29,855 - mmseg - INFO - Summary: 2022-06-18 19:07:29,855 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 80.15 | 42.05 | 53.06 | +-------+-------+-------+ 2022-06-18 19:07:29,861 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 19:07:29,861 - mmseg - INFO - Iter(val) [250] aAcc: 0.8015, mIoU: 0.4205, mAcc: 0.5306, IoU.wall: 0.7368, IoU.building: 0.7994, IoU.sky: 0.9388, IoU.floor: 0.7879, IoU.tree: 0.7221, IoU.ceiling: 0.8153, IoU.road: 0.8002, IoU.bed : 0.8479, IoU.windowpane: 0.5732, IoU.grass: 0.6479, IoU.cabinet: 0.5452, IoU.sidewalk: 0.5859, IoU.person: 0.7652, IoU.earth: 0.3205, IoU.door: 0.4039, IoU.table: 0.5188, IoU.mountain: 0.5232, IoU.plant: 0.4954, IoU.curtain: 0.6909, IoU.chair: 0.4912, IoU.car: 0.7930, IoU.water: 0.4859, IoU.painting: 0.6516, IoU.sofa: 0.6004, IoU.shelf: 0.3808, IoU.house: 0.4222, IoU.sea: 0.4801, IoU.mirror: 0.5868, IoU.rug: 0.6114, IoU.field: 0.3056, IoU.armchair: 0.3807, IoU.seat: 0.5339, IoU.fence: 0.3514, IoU.desk: 0.4181, IoU.rock: 0.3463, IoU.wardrobe: 0.4859, IoU.lamp: 0.5378, IoU.bathtub: 0.6834, IoU.railing: 0.2531, IoU.cushion: 0.4744, IoU.base: 0.2694, IoU.box: 0.1980, IoU.column: 0.3979, IoU.signboard: 0.3121, IoU.chest of drawers: 0.3637, IoU.counter: 0.2041, IoU.sand: 0.3145, IoU.sink: 0.6305, IoU.skyscraper: 0.4689, IoU.fireplace: 0.7342, IoU.refrigerator: 0.6638, IoU.grandstand: 0.3882, IoU.path: 0.2167, IoU.stairs: 0.2263, IoU.runway: 0.7124, IoU.case: 0.3437, IoU.pool table: 0.9207, IoU.pillow: 0.5320, IoU.screen door: 0.5702, IoU.stairway: 0.2278, IoU.river: 0.1189, IoU.bridge: 0.4726, IoU.bookcase: 0.4238, IoU.blind: 0.3524, IoU.coffee table: 0.5168, IoU.toilet: 0.7890, IoU.flower: 0.3742, IoU.book: 0.4302, IoU.hill: 0.1075, IoU.bench: 0.3634, IoU.countertop: 0.4989, IoU.stove: 0.6318, IoU.palm: 0.4348, IoU.kitchen island: 0.2582, IoU.computer: 0.5091, IoU.swivel chair: 0.3520, IoU.boat: 0.3273, IoU.bar: 0.1894, IoU.arcade machine: 0.1579, IoU.hovel: 0.1837, IoU.bus: 0.7827, IoU.towel: 0.4798, IoU.light: 0.5131, IoU.truck: 0.1182, IoU.tower: 0.2068, IoU.chandelier: 0.5879, IoU.awning: 0.2360, IoU.streetlight: 0.1743, IoU.booth: 0.5236, IoU.television receiver: 0.5219, IoU.airplane: 0.5082, IoU.dirt track: 0.0658, IoU.apparel: 0.3256, IoU.pole: 0.1660, IoU.land: 0.0384, IoU.bannister: 0.0772, IoU.escalator: 0.1453, IoU.ottoman: 0.3963, IoU.bottle: 0.3070, IoU.buffet: 0.3707, IoU.poster: 0.2103, IoU.stage: 0.1333, IoU.van: 0.3909, IoU.ship: 0.3751, IoU.fountain: 0.1665, IoU.conveyer belt: 0.7479, IoU.canopy: 0.2764, IoU.washer: 0.7030, IoU.plaything: 0.1701, IoU.swimming pool: 0.6650, IoU.stool: 0.3222, IoU.barrel: 0.3961, IoU.basket: 0.1712, IoU.waterfall: 0.5894, IoU.tent: 0.8908, IoU.bag: 0.0463, IoU.minibike: 0.4785, IoU.cradle: 0.7933, IoU.oven: 0.2664, IoU.ball: 0.3043, IoU.food: 0.5224, IoU.step: 0.0653, IoU.tank: 0.3995, IoU.trade name: 0.2143, IoU.microwave: 0.3627, IoU.pot: 0.2989, IoU.animal: 0.5256, IoU.bicycle: 0.3955, IoU.lake: 0.6244, IoU.dishwasher: 0.4987, IoU.screen: 0.5819, IoU.blanket: 0.0949, IoU.sculpture: 0.2540, IoU.hood: 0.4992, IoU.sconce: 0.3363, IoU.vase: 0.2447, IoU.traffic light: 0.1976, IoU.tray: 0.0450, IoU.ashcan: 0.3265, IoU.fan: 0.5114, IoU.pier: 0.3055, IoU.crt screen: 0.0134, IoU.plate: 0.4296, IoU.monitor: 0.3462, IoU.bulletin board: 0.3450, IoU.shower: 0.0000, IoU.radiator: 0.4968, IoU.glass: 0.0685, IoU.clock: 0.1653, IoU.flag: 0.2799, Acc.wall: 0.8676, Acc.building: 0.9180, Acc.sky: 0.9701, Acc.floor: 0.8952, Acc.tree: 0.8587, Acc.ceiling: 0.9040, Acc.road: 0.8706, Acc.bed : 0.9396, Acc.windowpane: 0.7526, Acc.grass: 0.7905, Acc.cabinet: 0.6793, Acc.sidewalk: 0.7877, Acc.person: 0.9063, Acc.earth: 0.4476, Acc.door: 0.5522, Acc.table: 0.6982, Acc.mountain: 0.7029, Acc.plant: 0.6314, Acc.curtain: 0.7989, Acc.chair: 0.6564, Acc.car: 0.9012, Acc.water: 0.6081, Acc.painting: 0.8419, Acc.sofa: 0.7916, Acc.shelf: 0.5485, Acc.house: 0.5736, Acc.sea: 0.7914, Acc.mirror: 0.6810, Acc.rug: 0.6776, Acc.field: 0.4857, Acc.armchair: 0.5429, Acc.seat: 0.6783, Acc.fence: 0.4622, Acc.desk: 0.6253, Acc.rock: 0.5446, Acc.wardrobe: 0.6780, Acc.lamp: 0.6925, Acc.bathtub: 0.7573, Acc.railing: 0.3790, Acc.cushion: 0.5939, Acc.base: 0.3543, Acc.box: 0.2797, Acc.column: 0.4830, Acc.signboard: 0.3985, Acc.chest of drawers: 0.5713, Acc.counter: 0.2742, Acc.sand: 0.5449, Acc.sink: 0.7302, Acc.skyscraper: 0.6085, Acc.fireplace: 0.8770, Acc.refrigerator: 0.7396, Acc.grandstand: 0.6406, Acc.path: 0.3099, Acc.stairs: 0.2708, Acc.runway: 0.9179, Acc.case: 0.4580, Acc.pool table: 0.9570, Acc.pillow: 0.6515, Acc.screen door: 0.6823, Acc.stairway: 0.3386, Acc.river: 0.1850, Acc.bridge: 0.5712, Acc.bookcase: 0.6736, Acc.blind: 0.4134, Acc.coffee table: 0.7439, Acc.toilet: 0.8734, Acc.flower: 0.4822, Acc.book: 0.6000, Acc.hill: 0.2051, Acc.bench: 0.4447, Acc.countertop: 0.7137, Acc.stove: 0.7194, Acc.palm: 0.6730, Acc.kitchen island: 0.4720, Acc.computer: 0.6386, Acc.swivel chair: 0.5071, Acc.boat: 0.3780, Acc.bar: 0.2532, Acc.arcade machine: 0.1674, Acc.hovel: 0.3063, Acc.bus: 0.8808, Acc.towel: 0.6081, Acc.light: 0.5999, Acc.truck: 0.1963, Acc.tower: 0.3369, Acc.chandelier: 0.7051, Acc.awning: 0.2983, Acc.streetlight: 0.2231, Acc.booth: 0.6861, Acc.television receiver: 0.7085, Acc.airplane: 0.6522, Acc.dirt track: 0.1249, Acc.apparel: 0.4925, Acc.pole: 0.2242, Acc.land: 0.0724, Acc.bannister: 0.1236, Acc.escalator: 0.1558, Acc.ottoman: 0.5535, Acc.bottle: 0.4716, Acc.buffet: 0.4226, Acc.poster: 0.2705, Acc.stage: 0.2556, Acc.van: 0.5080, Acc.ship: 0.5792, Acc.fountain: 0.1755, Acc.conveyer belt: 0.8078, Acc.canopy: 0.3484, Acc.washer: 0.7280, Acc.plaything: 0.2479, Acc.swimming pool: 0.8232, Acc.stool: 0.4378, Acc.barrel: 0.4069, Acc.basket: 0.2155, Acc.waterfall: 0.6529, Acc.tent: 0.9884, Acc.bag: 0.0575, Acc.minibike: 0.5688, Acc.cradle: 0.9529, Acc.oven: 0.3639, Acc.ball: 0.3260, Acc.food: 0.6261, Acc.step: 0.0917, Acc.tank: 0.4652, Acc.trade name: 0.2301, Acc.microwave: 0.4045, Acc.pot: 0.3417, Acc.animal: 0.5880, Acc.bicycle: 0.6353, Acc.lake: 0.6349, Acc.dishwasher: 0.6423, Acc.screen: 0.7752, Acc.blanket: 0.1097, Acc.sculpture: 0.3171, Acc.hood: 0.5881, Acc.sconce: 0.4006, Acc.vase: 0.3456, Acc.traffic light: 0.3141, Acc.tray: 0.0873, Acc.ashcan: 0.3942, Acc.fan: 0.6913, Acc.pier: 0.4390, Acc.crt screen: 0.0239, Acc.plate: 0.5380, Acc.monitor: 0.4894, Acc.bulletin board: 0.4161, Acc.shower: 0.0000, Acc.radiator: 0.5906, Acc.glass: 0.0825, Acc.clock: 0.1878, Acc.flag: 0.3019 2022-06-18 19:07:41,485 - mmseg - INFO - Iter [144050/160000] lr: 6.141e-06, eta: 1:04:49, time: 0.605, data_time: 0.376, memory: 36048, decode.loss_ce: 0.2559, decode.acc_seg: 73.3783, aux.loss_ce: 0.1261, aux.acc_seg: 71.8129, loss: 0.3819 2022-06-18 19:07:53,190 - mmseg - INFO - Iter [144100/160000] lr: 6.122e-06, eta: 1:04:37, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2634, decode.acc_seg: 73.0212, aux.loss_ce: 0.1323, aux.acc_seg: 71.2129, loss: 0.3957 2022-06-18 19:08:04,866 - mmseg - INFO - Iter [144150/160000] lr: 6.103e-06, eta: 1:04:25, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2588, decode.acc_seg: 71.7211, aux.loss_ce: 0.1268, aux.acc_seg: 70.1896, loss: 0.3856 2022-06-18 19:08:16,298 - mmseg - INFO - Iter [144200/160000] lr: 6.083e-06, eta: 1:04:13, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2702, decode.acc_seg: 72.6063, aux.loss_ce: 0.1312, aux.acc_seg: 71.1152, loss: 0.4014 2022-06-18 19:08:27,833 - mmseg - INFO - Iter [144250/160000] lr: 6.064e-06, eta: 1:04:00, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2624, decode.acc_seg: 71.8061, aux.loss_ce: 0.1297, aux.acc_seg: 70.2833, loss: 0.3921 2022-06-18 19:08:39,509 - mmseg - INFO - Iter [144300/160000] lr: 6.045e-06, eta: 1:03:48, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2531, decode.acc_seg: 73.0649, aux.loss_ce: 0.1248, aux.acc_seg: 71.5669, loss: 0.3779 2022-06-18 19:08:51,144 - mmseg - INFO - Iter [144350/160000] lr: 6.026e-06, eta: 1:03:36, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2522, decode.acc_seg: 72.0944, aux.loss_ce: 0.1242, aux.acc_seg: 70.5844, loss: 0.3764 2022-06-18 19:09:03,178 - mmseg - INFO - Iter [144400/160000] lr: 6.006e-06, eta: 1:03:24, time: 0.241, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2542, decode.acc_seg: 72.3311, aux.loss_ce: 0.1253, aux.acc_seg: 70.7792, loss: 0.3795 2022-06-18 19:09:14,852 - mmseg - INFO - Iter [144450/160000] lr: 5.987e-06, eta: 1:03:11, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2525, decode.acc_seg: 72.8726, aux.loss_ce: 0.1264, aux.acc_seg: 71.2782, loss: 0.3789 2022-06-18 19:09:26,525 - mmseg - INFO - Iter [144500/160000] lr: 5.968e-06, eta: 1:02:59, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2671, decode.acc_seg: 71.9754, aux.loss_ce: 0.1315, aux.acc_seg: 70.3756, loss: 0.3986 2022-06-18 19:09:38,217 - mmseg - INFO - Iter [144550/160000] lr: 5.949e-06, eta: 1:02:47, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2506, decode.acc_seg: 72.7545, aux.loss_ce: 0.1249, aux.acc_seg: 71.1467, loss: 0.3756 2022-06-18 19:09:50,079 - mmseg - INFO - Iter [144600/160000] lr: 5.929e-06, eta: 1:02:35, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2650, decode.acc_seg: 72.4648, aux.loss_ce: 0.1303, aux.acc_seg: 70.9588, loss: 0.3953 2022-06-18 19:10:01,928 - mmseg - INFO - Iter [144650/160000] lr: 5.910e-06, eta: 1:02:22, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2602, decode.acc_seg: 71.3715, aux.loss_ce: 0.1269, aux.acc_seg: 69.9109, loss: 0.3870 2022-06-18 19:10:13,628 - mmseg - INFO - Iter [144700/160000] lr: 5.891e-06, eta: 1:02:10, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2493, decode.acc_seg: 72.6804, aux.loss_ce: 0.1254, aux.acc_seg: 71.1538, loss: 0.3747 2022-06-18 19:10:25,286 - mmseg - INFO - Iter [144750/160000] lr: 5.872e-06, eta: 1:01:58, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2546, decode.acc_seg: 72.0362, aux.loss_ce: 0.1279, aux.acc_seg: 70.3878, loss: 0.3825 2022-06-18 19:10:37,087 - mmseg - INFO - Iter [144800/160000] lr: 5.852e-06, eta: 1:01:46, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2639, decode.acc_seg: 72.1810, aux.loss_ce: 0.1285, aux.acc_seg: 70.6390, loss: 0.3924 2022-06-18 19:10:48,791 - mmseg - INFO - Iter [144850/160000] lr: 5.833e-06, eta: 1:01:33, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2625, decode.acc_seg: 71.9867, aux.loss_ce: 0.1297, aux.acc_seg: 70.2465, loss: 0.3922 2022-06-18 19:11:00,593 - mmseg - INFO - Iter [144900/160000] lr: 5.814e-06, eta: 1:01:21, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2506, decode.acc_seg: 73.4965, aux.loss_ce: 0.1244, aux.acc_seg: 71.8776, loss: 0.3751 2022-06-18 19:11:11,936 - mmseg - INFO - Iter [144950/160000] lr: 5.795e-06, eta: 1:01:09, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2457, decode.acc_seg: 72.0392, aux.loss_ce: 0.1201, aux.acc_seg: 70.6340, loss: 0.3658 2022-06-18 19:11:23,628 - mmseg - INFO - Saving checkpoint at 145000 iterations 2022-06-18 19:11:24,420 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 19:11:24,420 - mmseg - INFO - Iter [145000/160000] lr: 5.775e-06, eta: 1:00:57, time: 0.250, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2627, decode.acc_seg: 72.6911, aux.loss_ce: 0.1296, aux.acc_seg: 71.1394, loss: 0.3923 2022-06-18 19:11:35,999 - mmseg - INFO - Iter [145050/160000] lr: 5.756e-06, eta: 1:00:44, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2381, decode.acc_seg: 71.5510, aux.loss_ce: 0.1182, aux.acc_seg: 70.0674, loss: 0.3564 2022-06-18 19:11:47,440 - mmseg - INFO - Iter [145100/160000] lr: 5.737e-06, eta: 1:00:32, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2518, decode.acc_seg: 73.0798, aux.loss_ce: 0.1259, aux.acc_seg: 71.4866, loss: 0.3777 2022-06-18 19:11:58,935 - mmseg - INFO - Iter [145150/160000] lr: 5.718e-06, eta: 1:00:20, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2350, decode.acc_seg: 72.2776, aux.loss_ce: 0.1169, aux.acc_seg: 70.7359, loss: 0.3519 2022-06-18 19:12:10,580 - mmseg - INFO - Iter [145200/160000] lr: 5.698e-06, eta: 1:00:08, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2602, decode.acc_seg: 72.0602, aux.loss_ce: 0.1272, aux.acc_seg: 70.6638, loss: 0.3875 2022-06-18 19:12:24,478 - mmseg - INFO - Iter [145250/160000] lr: 5.679e-06, eta: 0:59:56, time: 0.278, data_time: 0.049, memory: 36048, decode.loss_ce: 0.2655, decode.acc_seg: 72.0886, aux.loss_ce: 0.1320, aux.acc_seg: 70.5735, loss: 0.3975 2022-06-18 19:12:36,234 - mmseg - INFO - Iter [145300/160000] lr: 5.660e-06, eta: 0:59:43, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2488, decode.acc_seg: 72.5168, aux.loss_ce: 0.1225, aux.acc_seg: 71.0542, loss: 0.3713 2022-06-18 19:12:47,741 - mmseg - INFO - Iter [145350/160000] lr: 5.641e-06, eta: 0:59:31, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2575, decode.acc_seg: 73.7616, aux.loss_ce: 0.1287, aux.acc_seg: 72.0134, loss: 0.3862 2022-06-18 19:12:59,478 - mmseg - INFO - Iter [145400/160000] lr: 5.621e-06, eta: 0:59:19, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2404, decode.acc_seg: 74.0039, aux.loss_ce: 0.1209, aux.acc_seg: 72.3085, loss: 0.3613 2022-06-18 19:13:11,241 - mmseg - INFO - Iter [145450/160000] lr: 5.602e-06, eta: 0:59:07, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2580, decode.acc_seg: 73.3868, aux.loss_ce: 0.1296, aux.acc_seg: 71.5897, loss: 0.3876 2022-06-18 19:13:22,970 - mmseg - INFO - Iter [145500/160000] lr: 5.583e-06, eta: 0:58:54, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2511, decode.acc_seg: 73.0951, aux.loss_ce: 0.1247, aux.acc_seg: 71.5133, loss: 0.3758 2022-06-18 19:13:34,715 - mmseg - INFO - Iter [145550/160000] lr: 5.564e-06, eta: 0:58:42, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2293, decode.acc_seg: 71.9049, aux.loss_ce: 0.1147, aux.acc_seg: 70.4171, loss: 0.3440 2022-06-18 19:13:46,571 - mmseg - INFO - Iter [145600/160000] lr: 5.544e-06, eta: 0:58:30, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2558, decode.acc_seg: 72.0553, aux.loss_ce: 0.1278, aux.acc_seg: 70.4820, loss: 0.3836 2022-06-18 19:13:57,932 - mmseg - INFO - Iter [145650/160000] lr: 5.525e-06, eta: 0:58:18, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2634, decode.acc_seg: 73.1930, aux.loss_ce: 0.1306, aux.acc_seg: 71.4863, loss: 0.3940 2022-06-18 19:14:09,603 - mmseg - INFO - Iter [145700/160000] lr: 5.506e-06, eta: 0:58:06, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2473, decode.acc_seg: 71.6882, aux.loss_ce: 0.1233, aux.acc_seg: 70.0294, loss: 0.3706 2022-06-18 19:14:21,376 - mmseg - INFO - Iter [145750/160000] lr: 5.487e-06, eta: 0:57:53, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2371, decode.acc_seg: 73.0820, aux.loss_ce: 0.1179, aux.acc_seg: 71.5714, loss: 0.3549 2022-06-18 19:14:32,897 - mmseg - INFO - Iter [145800/160000] lr: 5.467e-06, eta: 0:57:41, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2626, decode.acc_seg: 73.3314, aux.loss_ce: 0.1285, aux.acc_seg: 71.8799, loss: 0.3911 2022-06-18 19:14:44,691 - mmseg - INFO - Iter [145850/160000] lr: 5.448e-06, eta: 0:57:29, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2530, decode.acc_seg: 73.6219, aux.loss_ce: 0.1245, aux.acc_seg: 71.9904, loss: 0.3775 2022-06-18 19:14:56,444 - mmseg - INFO - Iter [145900/160000] lr: 5.429e-06, eta: 0:57:17, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2583, decode.acc_seg: 72.0693, aux.loss_ce: 0.1261, aux.acc_seg: 70.5683, loss: 0.3844 2022-06-18 19:15:08,104 - mmseg - INFO - Iter [145950/160000] lr: 5.410e-06, eta: 0:57:04, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2489, decode.acc_seg: 72.6033, aux.loss_ce: 0.1245, aux.acc_seg: 71.0307, loss: 0.3734 2022-06-18 19:15:19,852 - mmseg - INFO - Saving checkpoint at 146000 iterations 2022-06-18 19:15:20,574 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 19:15:20,574 - mmseg - INFO - Iter [146000/160000] lr: 5.390e-06, eta: 0:56:52, time: 0.250, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2481, decode.acc_seg: 71.7221, aux.loss_ce: 0.1229, aux.acc_seg: 70.2283, loss: 0.3710 2022-06-18 19:15:32,497 - mmseg - INFO - Iter [146050/160000] lr: 5.371e-06, eta: 0:56:40, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2427, decode.acc_seg: 71.5791, aux.loss_ce: 0.1214, aux.acc_seg: 70.2375, loss: 0.3641 2022-06-18 19:15:44,330 - mmseg - INFO - Iter [146100/160000] lr: 5.352e-06, eta: 0:56:28, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2569, decode.acc_seg: 71.6139, aux.loss_ce: 0.1273, aux.acc_seg: 70.0672, loss: 0.3843 2022-06-18 19:15:55,979 - mmseg - INFO - Iter [146150/160000] lr: 5.333e-06, eta: 0:56:16, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2502, decode.acc_seg: 72.1707, aux.loss_ce: 0.1247, aux.acc_seg: 70.6102, loss: 0.3749 2022-06-18 19:16:07,648 - mmseg - INFO - Iter [146200/160000] lr: 5.313e-06, eta: 0:56:03, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2578, decode.acc_seg: 71.9749, aux.loss_ce: 0.1266, aux.acc_seg: 70.5669, loss: 0.3844 2022-06-18 19:16:19,311 - mmseg - INFO - Iter [146250/160000] lr: 5.294e-06, eta: 0:55:51, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2428, decode.acc_seg: 72.3330, aux.loss_ce: 0.1216, aux.acc_seg: 70.7723, loss: 0.3645 2022-06-18 19:16:30,881 - mmseg - INFO - Iter [146300/160000] lr: 5.275e-06, eta: 0:55:39, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2636, decode.acc_seg: 72.2737, aux.loss_ce: 0.1299, aux.acc_seg: 70.7080, loss: 0.3935 2022-06-18 19:16:42,675 - mmseg - INFO - Iter [146350/160000] lr: 5.256e-06, eta: 0:55:27, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2477, decode.acc_seg: 73.6806, aux.loss_ce: 0.1209, aux.acc_seg: 72.2440, loss: 0.3685 2022-06-18 19:16:54,218 - mmseg - INFO - Iter [146400/160000] lr: 5.236e-06, eta: 0:55:14, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2470, decode.acc_seg: 73.1159, aux.loss_ce: 0.1219, aux.acc_seg: 71.6011, loss: 0.3689 2022-06-18 19:17:05,948 - mmseg - INFO - Iter [146450/160000] lr: 5.217e-06, eta: 0:55:02, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2465, decode.acc_seg: 72.9672, aux.loss_ce: 0.1223, aux.acc_seg: 71.4932, loss: 0.3689 2022-06-18 19:17:17,503 - mmseg - INFO - Iter [146500/160000] lr: 5.198e-06, eta: 0:54:50, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2582, decode.acc_seg: 72.5827, aux.loss_ce: 0.1271, aux.acc_seg: 71.0215, loss: 0.3853 2022-06-18 19:17:31,298 - mmseg - INFO - Iter [146550/160000] lr: 5.179e-06, eta: 0:54:38, time: 0.276, data_time: 0.050, memory: 36048, decode.loss_ce: 0.2391, decode.acc_seg: 72.3999, aux.loss_ce: 0.1202, aux.acc_seg: 70.7945, loss: 0.3593 2022-06-18 19:17:43,018 - mmseg - INFO - Iter [146600/160000] lr: 5.159e-06, eta: 0:54:26, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2454, decode.acc_seg: 73.4187, aux.loss_ce: 0.1213, aux.acc_seg: 71.8789, loss: 0.3667 2022-06-18 19:17:54,519 - mmseg - INFO - Iter [146650/160000] lr: 5.140e-06, eta: 0:54:13, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2586, decode.acc_seg: 71.7693, aux.loss_ce: 0.1269, aux.acc_seg: 70.3945, loss: 0.3855 2022-06-18 19:18:06,100 - mmseg - INFO - Iter [146700/160000] lr: 5.121e-06, eta: 0:54:01, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2542, decode.acc_seg: 71.6133, aux.loss_ce: 0.1268, aux.acc_seg: 70.0767, loss: 0.3809 2022-06-18 19:18:17,969 - mmseg - INFO - Iter [146750/160000] lr: 5.102e-06, eta: 0:53:49, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2613, decode.acc_seg: 73.1741, aux.loss_ce: 0.1289, aux.acc_seg: 71.6776, loss: 0.3901 2022-06-18 19:18:29,815 - mmseg - INFO - Iter [146800/160000] lr: 5.082e-06, eta: 0:53:37, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2550, decode.acc_seg: 73.6365, aux.loss_ce: 0.1248, aux.acc_seg: 72.1853, loss: 0.3798 2022-06-18 19:18:41,448 - mmseg - INFO - Iter [146850/160000] lr: 5.063e-06, eta: 0:53:24, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2535, decode.acc_seg: 73.5647, aux.loss_ce: 0.1278, aux.acc_seg: 71.7901, loss: 0.3813 2022-06-18 19:18:53,069 - mmseg - INFO - Iter [146900/160000] lr: 5.044e-06, eta: 0:53:12, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2576, decode.acc_seg: 72.9434, aux.loss_ce: 0.1272, aux.acc_seg: 71.3529, loss: 0.3848 2022-06-18 19:19:04,906 - mmseg - INFO - Iter [146950/160000] lr: 5.025e-06, eta: 0:53:00, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2548, decode.acc_seg: 70.9335, aux.loss_ce: 0.1274, aux.acc_seg: 69.2322, loss: 0.3822 2022-06-18 19:19:16,525 - mmseg - INFO - Saving checkpoint at 147000 iterations 2022-06-18 19:19:17,234 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 19:19:17,234 - mmseg - INFO - Iter [147000/160000] lr: 5.005e-06, eta: 0:52:48, time: 0.247, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2410, decode.acc_seg: 72.2378, aux.loss_ce: 0.1203, aux.acc_seg: 70.7317, loss: 0.3613 2022-06-18 19:19:28,903 - mmseg - INFO - Iter [147050/160000] lr: 4.986e-06, eta: 0:52:36, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2495, decode.acc_seg: 71.5299, aux.loss_ce: 0.1257, aux.acc_seg: 69.6921, loss: 0.3752 2022-06-18 19:19:40,437 - mmseg - INFO - Iter [147100/160000] lr: 4.967e-06, eta: 0:52:23, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2529, decode.acc_seg: 73.2622, aux.loss_ce: 0.1244, aux.acc_seg: 71.7993, loss: 0.3773 2022-06-18 19:19:52,142 - mmseg - INFO - Iter [147150/160000] lr: 4.948e-06, eta: 0:52:11, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2619, decode.acc_seg: 72.7754, aux.loss_ce: 0.1313, aux.acc_seg: 71.0714, loss: 0.3932 2022-06-18 19:20:03,925 - mmseg - INFO - Iter [147200/160000] lr: 4.928e-06, eta: 0:51:59, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2553, decode.acc_seg: 72.8743, aux.loss_ce: 0.1260, aux.acc_seg: 71.2700, loss: 0.3813 2022-06-18 19:20:15,589 - mmseg - INFO - Iter [147250/160000] lr: 4.909e-06, eta: 0:51:47, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2514, decode.acc_seg: 72.3240, aux.loss_ce: 0.1236, aux.acc_seg: 70.8281, loss: 0.3750 2022-06-18 19:20:27,067 - mmseg - INFO - Iter [147300/160000] lr: 4.890e-06, eta: 0:51:34, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2582, decode.acc_seg: 73.3294, aux.loss_ce: 0.1289, aux.acc_seg: 71.6469, loss: 0.3871 2022-06-18 19:20:38,804 - mmseg - INFO - Iter [147350/160000] lr: 4.871e-06, eta: 0:51:22, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2538, decode.acc_seg: 73.7321, aux.loss_ce: 0.1259, aux.acc_seg: 72.2666, loss: 0.3797 2022-06-18 19:20:50,705 - mmseg - INFO - Iter [147400/160000] lr: 4.851e-06, eta: 0:51:10, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2372, decode.acc_seg: 71.4933, aux.loss_ce: 0.1204, aux.acc_seg: 69.7755, loss: 0.3576 2022-06-18 19:21:02,193 - mmseg - INFO - Iter [147450/160000] lr: 4.832e-06, eta: 0:50:58, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2693, decode.acc_seg: 72.5331, aux.loss_ce: 0.1335, aux.acc_seg: 70.8771, loss: 0.4028 2022-06-18 19:21:14,037 - mmseg - INFO - Iter [147500/160000] lr: 4.813e-06, eta: 0:50:46, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2678, decode.acc_seg: 71.6094, aux.loss_ce: 0.1311, aux.acc_seg: 70.1467, loss: 0.3988 2022-06-18 19:21:25,630 - mmseg - INFO - Iter [147550/160000] lr: 4.794e-06, eta: 0:50:33, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2455, decode.acc_seg: 72.2843, aux.loss_ce: 0.1208, aux.acc_seg: 70.7642, loss: 0.3663 2022-06-18 19:21:37,133 - mmseg - INFO - Iter [147600/160000] lr: 4.774e-06, eta: 0:50:21, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2375, decode.acc_seg: 72.8688, aux.loss_ce: 0.1183, aux.acc_seg: 71.4150, loss: 0.3558 2022-06-18 19:21:48,880 - mmseg - INFO - Iter [147650/160000] lr: 4.755e-06, eta: 0:50:09, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2495, decode.acc_seg: 72.0310, aux.loss_ce: 0.1230, aux.acc_seg: 70.6533, loss: 0.3725 2022-06-18 19:22:00,821 - mmseg - INFO - Iter [147700/160000] lr: 4.736e-06, eta: 0:49:57, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2475, decode.acc_seg: 73.4378, aux.loss_ce: 0.1237, aux.acc_seg: 71.8397, loss: 0.3713 2022-06-18 19:22:12,501 - mmseg - INFO - Iter [147750/160000] lr: 4.717e-06, eta: 0:49:44, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2613, decode.acc_seg: 73.1818, aux.loss_ce: 0.1288, aux.acc_seg: 71.6325, loss: 0.3901 2022-06-18 19:22:26,324 - mmseg - INFO - Iter [147800/160000] lr: 4.697e-06, eta: 0:49:32, time: 0.277, data_time: 0.049, memory: 36048, decode.loss_ce: 0.2776, decode.acc_seg: 71.7475, aux.loss_ce: 0.1348, aux.acc_seg: 70.1762, loss: 0.4124 2022-06-18 19:22:38,032 - mmseg - INFO - Iter [147850/160000] lr: 4.678e-06, eta: 0:49:20, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2465, decode.acc_seg: 73.3846, aux.loss_ce: 0.1255, aux.acc_seg: 71.6381, loss: 0.3720 2022-06-18 19:22:49,662 - mmseg - INFO - Iter [147900/160000] lr: 4.659e-06, eta: 0:49:08, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2597, decode.acc_seg: 72.6888, aux.loss_ce: 0.1330, aux.acc_seg: 70.8359, loss: 0.3927 2022-06-18 19:23:01,747 - mmseg - INFO - Iter [147950/160000] lr: 4.640e-06, eta: 0:48:56, time: 0.241, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2496, decode.acc_seg: 72.1767, aux.loss_ce: 0.1261, aux.acc_seg: 70.4100, loss: 0.3758 2022-06-18 19:23:13,681 - mmseg - INFO - Saving checkpoint at 148000 iterations 2022-06-18 19:23:14,402 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 19:23:14,402 - mmseg - INFO - Iter [148000/160000] lr: 4.620e-06, eta: 0:48:44, time: 0.254, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2478, decode.acc_seg: 72.7923, aux.loss_ce: 0.1259, aux.acc_seg: 70.9638, loss: 0.3738 2022-06-18 19:23:26,046 - mmseg - INFO - Iter [148050/160000] lr: 4.601e-06, eta: 0:48:31, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2390, decode.acc_seg: 73.0391, aux.loss_ce: 0.1192, aux.acc_seg: 71.4495, loss: 0.3582 2022-06-18 19:23:37,597 - mmseg - INFO - Iter [148100/160000] lr: 4.582e-06, eta: 0:48:19, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2470, decode.acc_seg: 74.1862, aux.loss_ce: 0.1213, aux.acc_seg: 72.5843, loss: 0.3683 2022-06-18 19:23:49,362 - mmseg - INFO - Iter [148150/160000] lr: 4.563e-06, eta: 0:48:07, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2589, decode.acc_seg: 70.8816, aux.loss_ce: 0.1277, aux.acc_seg: 69.2138, loss: 0.3866 2022-06-18 19:24:01,150 - mmseg - INFO - Iter [148200/160000] lr: 4.543e-06, eta: 0:47:55, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2589, decode.acc_seg: 72.5036, aux.loss_ce: 0.1293, aux.acc_seg: 70.8669, loss: 0.3882 2022-06-18 19:24:12,789 - mmseg - INFO - Iter [148250/160000] lr: 4.524e-06, eta: 0:47:42, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2572, decode.acc_seg: 71.2561, aux.loss_ce: 0.1287, aux.acc_seg: 69.5706, loss: 0.3859 2022-06-18 19:24:24,532 - mmseg - INFO - Iter [148300/160000] lr: 4.505e-06, eta: 0:47:30, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2417, decode.acc_seg: 73.3056, aux.loss_ce: 0.1210, aux.acc_seg: 71.7212, loss: 0.3627 2022-06-18 19:24:36,028 - mmseg - INFO - Iter [148350/160000] lr: 4.486e-06, eta: 0:47:18, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2586, decode.acc_seg: 72.3011, aux.loss_ce: 0.1301, aux.acc_seg: 70.6203, loss: 0.3887 2022-06-18 19:24:47,688 - mmseg - INFO - Iter [148400/160000] lr: 4.466e-06, eta: 0:47:06, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2552, decode.acc_seg: 72.9706, aux.loss_ce: 0.1270, aux.acc_seg: 71.3206, loss: 0.3822 2022-06-18 19:24:59,371 - mmseg - INFO - Iter [148450/160000] lr: 4.447e-06, eta: 0:46:54, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2695, decode.acc_seg: 72.0662, aux.loss_ce: 0.1351, aux.acc_seg: 70.3065, loss: 0.4046 2022-06-18 19:25:11,329 - mmseg - INFO - Iter [148500/160000] lr: 4.428e-06, eta: 0:46:41, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2443, decode.acc_seg: 73.8348, aux.loss_ce: 0.1229, aux.acc_seg: 72.1396, loss: 0.3672 2022-06-18 19:25:22,911 - mmseg - INFO - Iter [148550/160000] lr: 4.409e-06, eta: 0:46:29, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2481, decode.acc_seg: 73.0185, aux.loss_ce: 0.1231, aux.acc_seg: 71.4906, loss: 0.3712 2022-06-18 19:25:34,325 - mmseg - INFO - Iter [148600/160000] lr: 4.389e-06, eta: 0:46:17, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2474, decode.acc_seg: 73.1353, aux.loss_ce: 0.1215, aux.acc_seg: 71.6816, loss: 0.3689 2022-06-18 19:25:46,052 - mmseg - INFO - Iter [148650/160000] lr: 4.370e-06, eta: 0:46:05, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2479, decode.acc_seg: 72.9001, aux.loss_ce: 0.1226, aux.acc_seg: 71.3335, loss: 0.3705 2022-06-18 19:25:57,808 - mmseg - INFO - Iter [148700/160000] lr: 4.351e-06, eta: 0:45:52, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2702, decode.acc_seg: 72.2094, aux.loss_ce: 0.1324, aux.acc_seg: 70.5604, loss: 0.4026 2022-06-18 19:26:09,453 - mmseg - INFO - Iter [148750/160000] lr: 4.332e-06, eta: 0:45:40, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2572, decode.acc_seg: 70.9521, aux.loss_ce: 0.1274, aux.acc_seg: 69.4317, loss: 0.3845 2022-06-18 19:26:21,065 - mmseg - INFO - Iter [148800/160000] lr: 4.312e-06, eta: 0:45:28, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2605, decode.acc_seg: 74.4034, aux.loss_ce: 0.1300, aux.acc_seg: 72.8430, loss: 0.3905 2022-06-18 19:26:32,608 - mmseg - INFO - Iter [148850/160000] lr: 4.293e-06, eta: 0:45:16, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2534, decode.acc_seg: 73.2954, aux.loss_ce: 0.1249, aux.acc_seg: 71.7746, loss: 0.3783 2022-06-18 19:26:44,201 - mmseg - INFO - Iter [148900/160000] lr: 4.274e-06, eta: 0:45:04, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2463, decode.acc_seg: 72.5299, aux.loss_ce: 0.1214, aux.acc_seg: 71.1493, loss: 0.3677 2022-06-18 19:26:56,009 - mmseg - INFO - Iter [148950/160000] lr: 4.255e-06, eta: 0:44:51, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2429, decode.acc_seg: 73.7160, aux.loss_ce: 0.1211, aux.acc_seg: 72.0940, loss: 0.3640 2022-06-18 19:27:07,937 - mmseg - INFO - Saving checkpoint at 149000 iterations 2022-06-18 19:27:08,648 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 19:27:08,648 - mmseg - INFO - Iter [149000/160000] lr: 4.235e-06, eta: 0:44:39, time: 0.253, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2517, decode.acc_seg: 73.2180, aux.loss_ce: 0.1245, aux.acc_seg: 71.6920, loss: 0.3762 2022-06-18 19:27:22,767 - mmseg - INFO - Iter [149050/160000] lr: 4.216e-06, eta: 0:44:27, time: 0.282, data_time: 0.049, memory: 36048, decode.loss_ce: 0.2549, decode.acc_seg: 71.7678, aux.loss_ce: 0.1266, aux.acc_seg: 70.2043, loss: 0.3815 2022-06-18 19:27:34,615 - mmseg - INFO - Iter [149100/160000] lr: 4.197e-06, eta: 0:44:15, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2507, decode.acc_seg: 72.7996, aux.loss_ce: 0.1255, aux.acc_seg: 71.0806, loss: 0.3762 2022-06-18 19:27:46,352 - mmseg - INFO - Iter [149150/160000] lr: 4.178e-06, eta: 0:44:03, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2583, decode.acc_seg: 73.5781, aux.loss_ce: 0.1270, aux.acc_seg: 72.0716, loss: 0.3852 2022-06-18 19:27:58,318 - mmseg - INFO - Iter [149200/160000] lr: 4.158e-06, eta: 0:43:51, time: 0.240, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2511, decode.acc_seg: 72.7466, aux.loss_ce: 0.1246, aux.acc_seg: 71.2333, loss: 0.3757 2022-06-18 19:28:10,074 - mmseg - INFO - Iter [149250/160000] lr: 4.139e-06, eta: 0:43:38, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2433, decode.acc_seg: 72.1172, aux.loss_ce: 0.1207, aux.acc_seg: 70.5964, loss: 0.3640 2022-06-18 19:28:21,803 - mmseg - INFO - Iter [149300/160000] lr: 4.120e-06, eta: 0:43:26, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2731, decode.acc_seg: 72.2626, aux.loss_ce: 0.1348, aux.acc_seg: 70.7067, loss: 0.4079 2022-06-18 19:28:33,487 - mmseg - INFO - Iter [149350/160000] lr: 4.101e-06, eta: 0:43:14, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2615, decode.acc_seg: 73.0489, aux.loss_ce: 0.1298, aux.acc_seg: 71.4685, loss: 0.3913 2022-06-18 19:28:45,152 - mmseg - INFO - Iter [149400/160000] lr: 4.081e-06, eta: 0:43:02, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2688, decode.acc_seg: 72.1956, aux.loss_ce: 0.1341, aux.acc_seg: 70.5196, loss: 0.4029 2022-06-18 19:28:56,781 - mmseg - INFO - Iter [149450/160000] lr: 4.062e-06, eta: 0:42:49, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2485, decode.acc_seg: 70.9885, aux.loss_ce: 0.1253, aux.acc_seg: 69.1536, loss: 0.3738 2022-06-18 19:29:08,566 - mmseg - INFO - Iter [149500/160000] lr: 4.043e-06, eta: 0:42:37, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2532, decode.acc_seg: 71.9664, aux.loss_ce: 0.1273, aux.acc_seg: 70.4384, loss: 0.3805 2022-06-18 19:29:20,036 - mmseg - INFO - Iter [149550/160000] lr: 4.024e-06, eta: 0:42:25, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2368, decode.acc_seg: 72.7683, aux.loss_ce: 0.1173, aux.acc_seg: 71.3386, loss: 0.3541 2022-06-18 19:29:31,795 - mmseg - INFO - Iter [149600/160000] lr: 4.004e-06, eta: 0:42:13, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2457, decode.acc_seg: 71.3452, aux.loss_ce: 0.1237, aux.acc_seg: 69.7566, loss: 0.3694 2022-06-18 19:29:43,654 - mmseg - INFO - Iter [149650/160000] lr: 3.985e-06, eta: 0:42:01, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2443, decode.acc_seg: 72.5294, aux.loss_ce: 0.1217, aux.acc_seg: 70.9399, loss: 0.3660 2022-06-18 19:29:55,289 - mmseg - INFO - Iter [149700/160000] lr: 3.966e-06, eta: 0:41:48, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2502, decode.acc_seg: 73.3705, aux.loss_ce: 0.1266, aux.acc_seg: 71.6059, loss: 0.3769 2022-06-18 19:30:06,902 - mmseg - INFO - Iter [149750/160000] lr: 3.947e-06, eta: 0:41:36, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2469, decode.acc_seg: 72.9113, aux.loss_ce: 0.1210, aux.acc_seg: 71.5499, loss: 0.3679 2022-06-18 19:30:18,414 - mmseg - INFO - Iter [149800/160000] lr: 3.927e-06, eta: 0:41:24, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2476, decode.acc_seg: 72.7310, aux.loss_ce: 0.1218, aux.acc_seg: 71.2888, loss: 0.3694 2022-06-18 19:30:29,655 - mmseg - INFO - Iter [149850/160000] lr: 3.908e-06, eta: 0:41:12, time: 0.225, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2812, decode.acc_seg: 72.5064, aux.loss_ce: 0.1388, aux.acc_seg: 70.8816, loss: 0.4200 2022-06-18 19:30:41,465 - mmseg - INFO - Iter [149900/160000] lr: 3.889e-06, eta: 0:40:59, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2554, decode.acc_seg: 73.2570, aux.loss_ce: 0.1255, aux.acc_seg: 71.8424, loss: 0.3809 2022-06-18 19:30:53,400 - mmseg - INFO - Iter [149950/160000] lr: 3.870e-06, eta: 0:40:47, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2495, decode.acc_seg: 72.1019, aux.loss_ce: 0.1258, aux.acc_seg: 70.2851, loss: 0.3753 2022-06-18 19:31:04,924 - mmseg - INFO - Saving checkpoint at 150000 iterations 2022-06-18 19:31:05,638 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 19:31:05,638 - mmseg - INFO - Iter [150000/160000] lr: 3.850e-06, eta: 0:40:35, time: 0.245, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2493, decode.acc_seg: 72.7373, aux.loss_ce: 0.1237, aux.acc_seg: 71.2270, loss: 0.3730 2022-06-18 19:31:17,329 - mmseg - INFO - Iter [150050/160000] lr: 3.831e-06, eta: 0:40:23, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2528, decode.acc_seg: 73.7953, aux.loss_ce: 0.1261, aux.acc_seg: 72.0913, loss: 0.3789 2022-06-18 19:31:29,132 - mmseg - INFO - Iter [150100/160000] lr: 3.812e-06, eta: 0:40:11, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2488, decode.acc_seg: 71.9563, aux.loss_ce: 0.1214, aux.acc_seg: 70.5217, loss: 0.3702 2022-06-18 19:31:40,932 - mmseg - INFO - Iter [150150/160000] lr: 3.793e-06, eta: 0:39:59, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2464, decode.acc_seg: 72.9688, aux.loss_ce: 0.1222, aux.acc_seg: 71.3629, loss: 0.3686 2022-06-18 19:31:52,780 - mmseg - INFO - Iter [150200/160000] lr: 3.773e-06, eta: 0:39:46, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2439, decode.acc_seg: 72.9345, aux.loss_ce: 0.1209, aux.acc_seg: 71.3463, loss: 0.3648 2022-06-18 19:32:04,573 - mmseg - INFO - Iter [150250/160000] lr: 3.754e-06, eta: 0:39:34, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2633, decode.acc_seg: 72.3732, aux.loss_ce: 0.1299, aux.acc_seg: 70.7945, loss: 0.3932 2022-06-18 19:32:18,271 - mmseg - INFO - Iter [150300/160000] lr: 3.735e-06, eta: 0:39:22, time: 0.274, data_time: 0.049, memory: 36048, decode.loss_ce: 0.2447, decode.acc_seg: 72.8001, aux.loss_ce: 0.1204, aux.acc_seg: 71.2704, loss: 0.3651 2022-06-18 19:32:30,086 - mmseg - INFO - Iter [150350/160000] lr: 3.716e-06, eta: 0:39:10, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2575, decode.acc_seg: 73.2081, aux.loss_ce: 0.1289, aux.acc_seg: 71.5135, loss: 0.3864 2022-06-18 19:32:41,662 - mmseg - INFO - Iter [150400/160000] lr: 3.696e-06, eta: 0:38:58, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2470, decode.acc_seg: 70.8423, aux.loss_ce: 0.1232, aux.acc_seg: 69.3225, loss: 0.3703 2022-06-18 19:32:53,405 - mmseg - INFO - Iter [150450/160000] lr: 3.677e-06, eta: 0:38:45, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2410, decode.acc_seg: 72.7119, aux.loss_ce: 0.1204, aux.acc_seg: 71.0950, loss: 0.3614 2022-06-18 19:33:05,293 - mmseg - INFO - Iter [150500/160000] lr: 3.658e-06, eta: 0:38:33, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2289, decode.acc_seg: 72.7894, aux.loss_ce: 0.1161, aux.acc_seg: 71.1581, loss: 0.3450 2022-06-18 19:33:16,784 - mmseg - INFO - Iter [150550/160000] lr: 3.639e-06, eta: 0:38:21, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2396, decode.acc_seg: 73.3857, aux.loss_ce: 0.1200, aux.acc_seg: 71.7484, loss: 0.3596 2022-06-18 19:33:28,509 - mmseg - INFO - Iter [150600/160000] lr: 3.619e-06, eta: 0:38:09, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2439, decode.acc_seg: 71.9618, aux.loss_ce: 0.1223, aux.acc_seg: 70.4349, loss: 0.3662 2022-06-18 19:33:39,922 - mmseg - INFO - Iter [150650/160000] lr: 3.600e-06, eta: 0:37:57, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2361, decode.acc_seg: 72.5180, aux.loss_ce: 0.1186, aux.acc_seg: 70.8161, loss: 0.3546 2022-06-18 19:33:51,620 - mmseg - INFO - Iter [150700/160000] lr: 3.581e-06, eta: 0:37:44, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2629, decode.acc_seg: 74.1707, aux.loss_ce: 0.1293, aux.acc_seg: 72.6288, loss: 0.3922 2022-06-18 19:34:03,310 - mmseg - INFO - Iter [150750/160000] lr: 3.562e-06, eta: 0:37:32, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2505, decode.acc_seg: 72.9128, aux.loss_ce: 0.1247, aux.acc_seg: 71.3314, loss: 0.3751 2022-06-18 19:34:14,763 - mmseg - INFO - Iter [150800/160000] lr: 3.542e-06, eta: 0:37:20, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2403, decode.acc_seg: 72.9452, aux.loss_ce: 0.1203, aux.acc_seg: 71.3569, loss: 0.3606 2022-06-18 19:34:26,558 - mmseg - INFO - Iter [150850/160000] lr: 3.523e-06, eta: 0:37:08, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2368, decode.acc_seg: 72.8882, aux.loss_ce: 0.1175, aux.acc_seg: 71.3219, loss: 0.3542 2022-06-18 19:34:38,256 - mmseg - INFO - Iter [150900/160000] lr: 3.504e-06, eta: 0:36:56, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2519, decode.acc_seg: 72.7455, aux.loss_ce: 0.1273, aux.acc_seg: 71.0973, loss: 0.3792 2022-06-18 19:34:50,018 - mmseg - INFO - Iter [150950/160000] lr: 3.485e-06, eta: 0:36:43, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2411, decode.acc_seg: 72.8619, aux.loss_ce: 0.1200, aux.acc_seg: 71.1997, loss: 0.3611 2022-06-18 19:35:01,837 - mmseg - INFO - Saving checkpoint at 151000 iterations 2022-06-18 19:35:02,619 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 19:35:02,619 - mmseg - INFO - Iter [151000/160000] lr: 3.465e-06, eta: 0:36:31, time: 0.252, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2585, decode.acc_seg: 72.5149, aux.loss_ce: 0.1277, aux.acc_seg: 71.0930, loss: 0.3861 2022-06-18 19:35:14,349 - mmseg - INFO - Iter [151050/160000] lr: 3.446e-06, eta: 0:36:19, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2392, decode.acc_seg: 72.3631, aux.loss_ce: 0.1193, aux.acc_seg: 70.9006, loss: 0.3586 2022-06-18 19:35:26,261 - mmseg - INFO - Iter [151100/160000] lr: 3.427e-06, eta: 0:36:07, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2762, decode.acc_seg: 72.5941, aux.loss_ce: 0.1368, aux.acc_seg: 70.9112, loss: 0.4129 2022-06-18 19:35:38,048 - mmseg - INFO - Iter [151150/160000] lr: 3.408e-06, eta: 0:35:55, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2579, decode.acc_seg: 72.7980, aux.loss_ce: 0.1265, aux.acc_seg: 71.2484, loss: 0.3844 2022-06-18 19:35:49,899 - mmseg - INFO - Iter [151200/160000] lr: 3.388e-06, eta: 0:35:42, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2393, decode.acc_seg: 72.6073, aux.loss_ce: 0.1186, aux.acc_seg: 71.1618, loss: 0.3579 2022-06-18 19:36:01,421 - mmseg - INFO - Iter [151250/160000] lr: 3.369e-06, eta: 0:35:30, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2542, decode.acc_seg: 72.6259, aux.loss_ce: 0.1281, aux.acc_seg: 70.9971, loss: 0.3823 2022-06-18 19:36:13,282 - mmseg - INFO - Iter [151300/160000] lr: 3.350e-06, eta: 0:35:18, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2476, decode.acc_seg: 72.8648, aux.loss_ce: 0.1229, aux.acc_seg: 71.3609, loss: 0.3705 2022-06-18 19:36:25,050 - mmseg - INFO - Iter [151350/160000] lr: 3.331e-06, eta: 0:35:06, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2473, decode.acc_seg: 73.6392, aux.loss_ce: 0.1266, aux.acc_seg: 71.8662, loss: 0.3738 2022-06-18 19:36:36,721 - mmseg - INFO - Iter [151400/160000] lr: 3.311e-06, eta: 0:34:54, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2467, decode.acc_seg: 73.6880, aux.loss_ce: 0.1231, aux.acc_seg: 72.2302, loss: 0.3698 2022-06-18 19:36:48,283 - mmseg - INFO - Iter [151450/160000] lr: 3.292e-06, eta: 0:34:41, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2655, decode.acc_seg: 70.2892, aux.loss_ce: 0.1332, aux.acc_seg: 68.6018, loss: 0.3986 2022-06-18 19:37:00,002 - mmseg - INFO - Iter [151500/160000] lr: 3.273e-06, eta: 0:34:29, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2507, decode.acc_seg: 73.2039, aux.loss_ce: 0.1266, aux.acc_seg: 71.3419, loss: 0.3773 2022-06-18 19:37:12,062 - mmseg - INFO - Iter [151550/160000] lr: 3.254e-06, eta: 0:34:17, time: 0.241, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2493, decode.acc_seg: 71.6776, aux.loss_ce: 0.1230, aux.acc_seg: 70.1596, loss: 0.3723 2022-06-18 19:37:25,921 - mmseg - INFO - Iter [151600/160000] lr: 3.234e-06, eta: 0:34:05, time: 0.276, data_time: 0.050, memory: 36048, decode.loss_ce: 0.2365, decode.acc_seg: 73.5408, aux.loss_ce: 0.1174, aux.acc_seg: 72.0909, loss: 0.3539 2022-06-18 19:37:37,589 - mmseg - INFO - Iter [151650/160000] lr: 3.215e-06, eta: 0:33:53, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2626, decode.acc_seg: 72.9310, aux.loss_ce: 0.1296, aux.acc_seg: 71.2250, loss: 0.3922 2022-06-18 19:37:49,407 - mmseg - INFO - Iter [151700/160000] lr: 3.196e-06, eta: 0:33:41, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2489, decode.acc_seg: 73.9591, aux.loss_ce: 0.1253, aux.acc_seg: 72.0798, loss: 0.3742 2022-06-18 19:38:01,313 - mmseg - INFO - Iter [151750/160000] lr: 3.177e-06, eta: 0:33:28, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2536, decode.acc_seg: 72.3478, aux.loss_ce: 0.1254, aux.acc_seg: 70.9545, loss: 0.3790 2022-06-18 19:38:12,516 - mmseg - INFO - Iter [151800/160000] lr: 3.157e-06, eta: 0:33:16, time: 0.224, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2619, decode.acc_seg: 73.4584, aux.loss_ce: 0.1284, aux.acc_seg: 71.9903, loss: 0.3903 2022-06-18 19:38:24,166 - mmseg - INFO - Iter [151850/160000] lr: 3.138e-06, eta: 0:33:04, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2359, decode.acc_seg: 72.4624, aux.loss_ce: 0.1178, aux.acc_seg: 70.9968, loss: 0.3536 2022-06-18 19:38:35,922 - mmseg - INFO - Iter [151900/160000] lr: 3.119e-06, eta: 0:32:52, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2512, decode.acc_seg: 72.9071, aux.loss_ce: 0.1249, aux.acc_seg: 71.1704, loss: 0.3761 2022-06-18 19:38:47,685 - mmseg - INFO - Iter [151950/160000] lr: 3.100e-06, eta: 0:32:39, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2752, decode.acc_seg: 72.6689, aux.loss_ce: 0.1352, aux.acc_seg: 70.9656, loss: 0.4104 2022-06-18 19:38:59,338 - mmseg - INFO - Saving checkpoint at 152000 iterations 2022-06-18 19:39:00,080 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 19:39:00,080 - mmseg - INFO - Iter [152000/160000] lr: 3.080e-06, eta: 0:32:27, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2495, decode.acc_seg: 73.0013, aux.loss_ce: 0.1225, aux.acc_seg: 71.4437, loss: 0.3720 2022-06-18 19:39:11,534 - mmseg - INFO - Iter [152050/160000] lr: 3.061e-06, eta: 0:32:15, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2518, decode.acc_seg: 73.1276, aux.loss_ce: 0.1259, aux.acc_seg: 71.4720, loss: 0.3777 2022-06-18 19:39:23,190 - mmseg - INFO - Iter [152100/160000] lr: 3.042e-06, eta: 0:32:03, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2597, decode.acc_seg: 71.6379, aux.loss_ce: 0.1273, aux.acc_seg: 70.0056, loss: 0.3870 2022-06-18 19:39:35,029 - mmseg - INFO - Iter [152150/160000] lr: 3.023e-06, eta: 0:31:51, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2480, decode.acc_seg: 72.3862, aux.loss_ce: 0.1250, aux.acc_seg: 70.7936, loss: 0.3730 2022-06-18 19:39:46,882 - mmseg - INFO - Iter [152200/160000] lr: 3.003e-06, eta: 0:31:39, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2461, decode.acc_seg: 73.5771, aux.loss_ce: 0.1258, aux.acc_seg: 71.7478, loss: 0.3719 2022-06-18 19:39:58,500 - mmseg - INFO - Iter [152250/160000] lr: 2.984e-06, eta: 0:31:26, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2485, decode.acc_seg: 73.9861, aux.loss_ce: 0.1230, aux.acc_seg: 72.4216, loss: 0.3715 2022-06-18 19:40:10,059 - mmseg - INFO - Iter [152300/160000] lr: 2.965e-06, eta: 0:31:14, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2389, decode.acc_seg: 72.4738, aux.loss_ce: 0.1188, aux.acc_seg: 71.0426, loss: 0.3577 2022-06-18 19:40:21,710 - mmseg - INFO - Iter [152350/160000] lr: 2.946e-06, eta: 0:31:02, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2340, decode.acc_seg: 73.0810, aux.loss_ce: 0.1156, aux.acc_seg: 71.6703, loss: 0.3496 2022-06-18 19:40:33,635 - mmseg - INFO - Iter [152400/160000] lr: 2.926e-06, eta: 0:30:50, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2402, decode.acc_seg: 72.8595, aux.loss_ce: 0.1190, aux.acc_seg: 71.3477, loss: 0.3593 2022-06-18 19:40:45,315 - mmseg - INFO - Iter [152450/160000] lr: 2.907e-06, eta: 0:30:38, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2361, decode.acc_seg: 73.4123, aux.loss_ce: 0.1179, aux.acc_seg: 71.9379, loss: 0.3541 2022-06-18 19:40:56,863 - mmseg - INFO - Iter [152500/160000] lr: 2.888e-06, eta: 0:30:25, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2503, decode.acc_seg: 73.1242, aux.loss_ce: 0.1256, aux.acc_seg: 71.3688, loss: 0.3759 2022-06-18 19:41:08,563 - mmseg - INFO - Iter [152550/160000] lr: 2.869e-06, eta: 0:30:13, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2443, decode.acc_seg: 73.3336, aux.loss_ce: 0.1217, aux.acc_seg: 71.8331, loss: 0.3659 2022-06-18 19:41:20,186 - mmseg - INFO - Iter [152600/160000] lr: 2.849e-06, eta: 0:30:01, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2604, decode.acc_seg: 71.5669, aux.loss_ce: 0.1314, aux.acc_seg: 69.7872, loss: 0.3918 2022-06-18 19:41:31,815 - mmseg - INFO - Iter [152650/160000] lr: 2.830e-06, eta: 0:29:49, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2581, decode.acc_seg: 72.1398, aux.loss_ce: 0.1309, aux.acc_seg: 70.4914, loss: 0.3890 2022-06-18 19:41:43,404 - mmseg - INFO - Iter [152700/160000] lr: 2.811e-06, eta: 0:29:37, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2479, decode.acc_seg: 73.1699, aux.loss_ce: 0.1238, aux.acc_seg: 71.5039, loss: 0.3717 2022-06-18 19:41:54,985 - mmseg - INFO - Iter [152750/160000] lr: 2.792e-06, eta: 0:29:24, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2472, decode.acc_seg: 73.3495, aux.loss_ce: 0.1240, aux.acc_seg: 71.5704, loss: 0.3712 2022-06-18 19:42:07,069 - mmseg - INFO - Iter [152800/160000] lr: 2.772e-06, eta: 0:29:12, time: 0.242, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2528, decode.acc_seg: 73.0451, aux.loss_ce: 0.1259, aux.acc_seg: 71.4494, loss: 0.3787 2022-06-18 19:42:20,849 - mmseg - INFO - Iter [152850/160000] lr: 2.753e-06, eta: 0:29:00, time: 0.276, data_time: 0.049, memory: 36048, decode.loss_ce: 0.2395, decode.acc_seg: 73.3419, aux.loss_ce: 0.1198, aux.acc_seg: 71.8567, loss: 0.3592 2022-06-18 19:42:32,336 - mmseg - INFO - Iter [152900/160000] lr: 2.734e-06, eta: 0:28:48, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2498, decode.acc_seg: 73.6930, aux.loss_ce: 0.1243, aux.acc_seg: 72.0748, loss: 0.3741 2022-06-18 19:42:43,943 - mmseg - INFO - Iter [152950/160000] lr: 2.715e-06, eta: 0:28:36, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2574, decode.acc_seg: 71.9792, aux.loss_ce: 0.1272, aux.acc_seg: 70.4948, loss: 0.3846 2022-06-18 19:42:55,502 - mmseg - INFO - Saving checkpoint at 153000 iterations 2022-06-18 19:42:56,221 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 19:42:56,222 - mmseg - INFO - Iter [153000/160000] lr: 2.695e-06, eta: 0:28:24, time: 0.246, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2493, decode.acc_seg: 73.3601, aux.loss_ce: 0.1246, aux.acc_seg: 71.7032, loss: 0.3739 2022-06-18 19:43:07,958 - mmseg - INFO - Iter [153050/160000] lr: 2.676e-06, eta: 0:28:11, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2437, decode.acc_seg: 72.6609, aux.loss_ce: 0.1195, aux.acc_seg: 71.1296, loss: 0.3633 2022-06-18 19:43:19,812 - mmseg - INFO - Iter [153100/160000] lr: 2.657e-06, eta: 0:27:59, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2332, decode.acc_seg: 73.6339, aux.loss_ce: 0.1161, aux.acc_seg: 72.1809, loss: 0.3493 2022-06-18 19:43:31,457 - mmseg - INFO - Iter [153150/160000] lr: 2.638e-06, eta: 0:27:47, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2503, decode.acc_seg: 72.9500, aux.loss_ce: 0.1239, aux.acc_seg: 71.5517, loss: 0.3742 2022-06-18 19:43:43,173 - mmseg - INFO - Iter [153200/160000] lr: 2.618e-06, eta: 0:27:35, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2386, decode.acc_seg: 72.4522, aux.loss_ce: 0.1179, aux.acc_seg: 71.0023, loss: 0.3565 2022-06-18 19:43:54,876 - mmseg - INFO - Iter [153250/160000] lr: 2.599e-06, eta: 0:27:23, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2325, decode.acc_seg: 72.4493, aux.loss_ce: 0.1155, aux.acc_seg: 70.9418, loss: 0.3480 2022-06-18 19:44:06,393 - mmseg - INFO - Iter [153300/160000] lr: 2.580e-06, eta: 0:27:10, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2613, decode.acc_seg: 73.2581, aux.loss_ce: 0.1306, aux.acc_seg: 71.5866, loss: 0.3920 2022-06-18 19:44:18,248 - mmseg - INFO - Iter [153350/160000] lr: 2.561e-06, eta: 0:26:58, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2582, decode.acc_seg: 72.4952, aux.loss_ce: 0.1266, aux.acc_seg: 71.0283, loss: 0.3849 2022-06-18 19:44:30,163 - mmseg - INFO - Iter [153400/160000] lr: 2.541e-06, eta: 0:26:46, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2519, decode.acc_seg: 71.4457, aux.loss_ce: 0.1245, aux.acc_seg: 69.8080, loss: 0.3764 2022-06-18 19:44:41,722 - mmseg - INFO - Iter [153450/160000] lr: 2.522e-06, eta: 0:26:34, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2439, decode.acc_seg: 71.4443, aux.loss_ce: 0.1209, aux.acc_seg: 69.9247, loss: 0.3648 2022-06-18 19:44:53,404 - mmseg - INFO - Iter [153500/160000] lr: 2.503e-06, eta: 0:26:22, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2407, decode.acc_seg: 74.3261, aux.loss_ce: 0.1198, aux.acc_seg: 72.8075, loss: 0.3605 2022-06-18 19:45:05,176 - mmseg - INFO - Iter [153550/160000] lr: 2.484e-06, eta: 0:26:09, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2479, decode.acc_seg: 73.6448, aux.loss_ce: 0.1232, aux.acc_seg: 71.9971, loss: 0.3711 2022-06-18 19:45:16,738 - mmseg - INFO - Iter [153600/160000] lr: 2.464e-06, eta: 0:25:57, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2563, decode.acc_seg: 72.8172, aux.loss_ce: 0.1258, aux.acc_seg: 71.4591, loss: 0.3821 2022-06-18 19:45:28,258 - mmseg - INFO - Iter [153650/160000] lr: 2.445e-06, eta: 0:25:45, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2382, decode.acc_seg: 72.4024, aux.loss_ce: 0.1220, aux.acc_seg: 70.6956, loss: 0.3602 2022-06-18 19:45:39,919 - mmseg - INFO - Iter [153700/160000] lr: 2.426e-06, eta: 0:25:33, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2489, decode.acc_seg: 72.3973, aux.loss_ce: 0.1244, aux.acc_seg: 70.7000, loss: 0.3733 2022-06-18 19:45:51,648 - mmseg - INFO - Iter [153750/160000] lr: 2.407e-06, eta: 0:25:21, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2515, decode.acc_seg: 73.5745, aux.loss_ce: 0.1267, aux.acc_seg: 71.8647, loss: 0.3782 2022-06-18 19:46:03,247 - mmseg - INFO - Iter [153800/160000] lr: 2.387e-06, eta: 0:25:08, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2424, decode.acc_seg: 74.4489, aux.loss_ce: 0.1213, aux.acc_seg: 72.8498, loss: 0.3637 2022-06-18 19:46:14,992 - mmseg - INFO - Iter [153850/160000] lr: 2.368e-06, eta: 0:24:56, time: 0.234, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2436, decode.acc_seg: 71.0105, aux.loss_ce: 0.1232, aux.acc_seg: 69.4473, loss: 0.3668 2022-06-18 19:46:26,840 - mmseg - INFO - Iter [153900/160000] lr: 2.349e-06, eta: 0:24:44, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2451, decode.acc_seg: 71.7931, aux.loss_ce: 0.1236, aux.acc_seg: 70.1454, loss: 0.3686 2022-06-18 19:46:38,487 - mmseg - INFO - Iter [153950/160000] lr: 2.330e-06, eta: 0:24:32, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2534, decode.acc_seg: 73.1973, aux.loss_ce: 0.1288, aux.acc_seg: 71.2953, loss: 0.3823 2022-06-18 19:46:50,364 - mmseg - INFO - Saving checkpoint at 154000 iterations 2022-06-18 19:46:51,081 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 19:46:51,082 - mmseg - INFO - Iter [154000/160000] lr: 2.310e-06, eta: 0:24:20, time: 0.253, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2374, decode.acc_seg: 72.1093, aux.loss_ce: 0.1183, aux.acc_seg: 70.5654, loss: 0.3557 2022-06-18 19:47:02,739 - mmseg - INFO - Iter [154050/160000] lr: 2.291e-06, eta: 0:24:08, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2593, decode.acc_seg: 71.6485, aux.loss_ce: 0.1273, aux.acc_seg: 70.2418, loss: 0.3866 2022-06-18 19:47:16,559 - mmseg - INFO - Iter [154100/160000] lr: 2.272e-06, eta: 0:23:55, time: 0.276, data_time: 0.049, memory: 36048, decode.loss_ce: 0.2536, decode.acc_seg: 72.2074, aux.loss_ce: 0.1249, aux.acc_seg: 70.7712, loss: 0.3785 2022-06-18 19:47:28,437 - mmseg - INFO - Iter [154150/160000] lr: 2.253e-06, eta: 0:23:43, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2498, decode.acc_seg: 72.2080, aux.loss_ce: 0.1228, aux.acc_seg: 70.7833, loss: 0.3726 2022-06-18 19:47:40,037 - mmseg - INFO - Iter [154200/160000] lr: 2.233e-06, eta: 0:23:31, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2440, decode.acc_seg: 72.6632, aux.loss_ce: 0.1220, aux.acc_seg: 71.0537, loss: 0.3660 2022-06-18 19:47:51,714 - mmseg - INFO - Iter [154250/160000] lr: 2.214e-06, eta: 0:23:19, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2437, decode.acc_seg: 73.5727, aux.loss_ce: 0.1206, aux.acc_seg: 72.0321, loss: 0.3643 2022-06-18 19:48:03,435 - mmseg - INFO - Iter [154300/160000] lr: 2.195e-06, eta: 0:23:07, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2283, decode.acc_seg: 71.4771, aux.loss_ce: 0.1153, aux.acc_seg: 69.7859, loss: 0.3436 2022-06-18 19:48:15,464 - mmseg - INFO - Iter [154350/160000] lr: 2.176e-06, eta: 0:22:55, time: 0.241, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2372, decode.acc_seg: 71.3050, aux.loss_ce: 0.1189, aux.acc_seg: 69.8091, loss: 0.3560 2022-06-18 19:48:26,990 - mmseg - INFO - Iter [154400/160000] lr: 2.156e-06, eta: 0:22:42, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2588, decode.acc_seg: 71.9737, aux.loss_ce: 0.1283, aux.acc_seg: 70.3647, loss: 0.3871 2022-06-18 19:48:38,454 - mmseg - INFO - Iter [154450/160000] lr: 2.137e-06, eta: 0:22:30, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2465, decode.acc_seg: 72.6281, aux.loss_ce: 0.1221, aux.acc_seg: 71.0562, loss: 0.3686 2022-06-18 19:48:50,472 - mmseg - INFO - Iter [154500/160000] lr: 2.118e-06, eta: 0:22:18, time: 0.241, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2372, decode.acc_seg: 72.6873, aux.loss_ce: 0.1196, aux.acc_seg: 71.1336, loss: 0.3568 2022-06-18 19:49:02,112 - mmseg - INFO - Iter [154550/160000] lr: 2.099e-06, eta: 0:22:06, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2415, decode.acc_seg: 72.5253, aux.loss_ce: 0.1220, aux.acc_seg: 70.8890, loss: 0.3635 2022-06-18 19:49:13,709 - mmseg - INFO - Iter [154600/160000] lr: 2.079e-06, eta: 0:21:54, time: 0.232, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2629, decode.acc_seg: 73.7564, aux.loss_ce: 0.1320, aux.acc_seg: 71.8532, loss: 0.3949 2022-06-18 19:49:25,248 - mmseg - INFO - Iter [154650/160000] lr: 2.060e-06, eta: 0:21:41, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2596, decode.acc_seg: 72.5917, aux.loss_ce: 0.1285, aux.acc_seg: 71.0424, loss: 0.3880 2022-06-18 19:49:36,853 - mmseg - INFO - Iter [154700/160000] lr: 2.041e-06, eta: 0:21:29, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2334, decode.acc_seg: 72.3536, aux.loss_ce: 0.1166, aux.acc_seg: 70.8297, loss: 0.3500 2022-06-18 19:49:48,588 - mmseg - INFO - Iter [154750/160000] lr: 2.022e-06, eta: 0:21:17, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2532, decode.acc_seg: 72.8590, aux.loss_ce: 0.1292, aux.acc_seg: 71.0010, loss: 0.3824 2022-06-18 19:50:00,518 - mmseg - INFO - Iter [154800/160000] lr: 2.002e-06, eta: 0:21:05, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2463, decode.acc_seg: 73.2977, aux.loss_ce: 0.1233, aux.acc_seg: 71.6277, loss: 0.3696 2022-06-18 19:50:12,012 - mmseg - INFO - Iter [154850/160000] lr: 1.983e-06, eta: 0:20:53, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2517, decode.acc_seg: 72.1717, aux.loss_ce: 0.1252, aux.acc_seg: 70.6099, loss: 0.3768 2022-06-18 19:50:23,732 - mmseg - INFO - Iter [154900/160000] lr: 1.964e-06, eta: 0:20:41, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2480, decode.acc_seg: 72.6279, aux.loss_ce: 0.1223, aux.acc_seg: 71.1991, loss: 0.3703 2022-06-18 19:50:35,350 - mmseg - INFO - Iter [154950/160000] lr: 1.945e-06, eta: 0:20:28, time: 0.233, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2472, decode.acc_seg: 73.1253, aux.loss_ce: 0.1246, aux.acc_seg: 71.4436, loss: 0.3717 2022-06-18 19:50:46,986 - mmseg - INFO - Saving checkpoint at 155000 iterations 2022-06-18 19:50:47,703 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 19:50:47,704 - mmseg - INFO - Iter [155000/160000] lr: 1.925e-06, eta: 0:20:16, time: 0.247, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2451, decode.acc_seg: 72.9549, aux.loss_ce: 0.1243, aux.acc_seg: 71.1325, loss: 0.3695 2022-06-18 19:50:59,642 - mmseg - INFO - Iter [155050/160000] lr: 1.906e-06, eta: 0:20:04, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2522, decode.acc_seg: 72.5417, aux.loss_ce: 0.1266, aux.acc_seg: 70.8456, loss: 0.3787 2022-06-18 19:51:11,379 - mmseg - INFO - Iter [155100/160000] lr: 1.887e-06, eta: 0:19:52, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2519, decode.acc_seg: 72.9312, aux.loss_ce: 0.1245, aux.acc_seg: 71.3730, loss: 0.3764 2022-06-18 19:51:23,249 - mmseg - INFO - Iter [155150/160000] lr: 1.868e-06, eta: 0:19:40, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2428, decode.acc_seg: 71.8601, aux.loss_ce: 0.1204, aux.acc_seg: 70.4211, loss: 0.3632 2022-06-18 19:51:35,075 - mmseg - INFO - Iter [155200/160000] lr: 1.848e-06, eta: 0:19:27, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2621, decode.acc_seg: 72.9899, aux.loss_ce: 0.1290, aux.acc_seg: 71.3277, loss: 0.3911 2022-06-18 19:51:46,751 - mmseg - INFO - Iter [155250/160000] lr: 1.829e-06, eta: 0:19:15, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2577, decode.acc_seg: 72.6368, aux.loss_ce: 0.1274, aux.acc_seg: 71.1254, loss: 0.3851 2022-06-18 19:51:58,411 - mmseg - INFO - Iter [155300/160000] lr: 1.810e-06, eta: 0:19:03, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2529, decode.acc_seg: 72.1433, aux.loss_ce: 0.1265, aux.acc_seg: 70.4331, loss: 0.3794 2022-06-18 19:52:12,401 - mmseg - INFO - Iter [155350/160000] lr: 1.791e-06, eta: 0:18:51, time: 0.280, data_time: 0.051, memory: 36048, decode.loss_ce: 0.2441, decode.acc_seg: 72.0499, aux.loss_ce: 0.1221, aux.acc_seg: 70.5057, loss: 0.3662 2022-06-18 19:52:23,971 - mmseg - INFO - Iter [155400/160000] lr: 1.771e-06, eta: 0:18:39, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2536, decode.acc_seg: 71.9564, aux.loss_ce: 0.1260, aux.acc_seg: 70.4616, loss: 0.3796 2022-06-18 19:52:35,892 - mmseg - INFO - Iter [155450/160000] lr: 1.752e-06, eta: 0:18:27, time: 0.239, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2351, decode.acc_seg: 73.7586, aux.loss_ce: 0.1179, aux.acc_seg: 72.3037, loss: 0.3530 2022-06-18 19:52:47,272 - mmseg - INFO - Iter [155500/160000] lr: 1.733e-06, eta: 0:18:14, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2487, decode.acc_seg: 72.1845, aux.loss_ce: 0.1226, aux.acc_seg: 70.7070, loss: 0.3714 2022-06-18 19:52:58,935 - mmseg - INFO - Iter [155550/160000] lr: 1.714e-06, eta: 0:18:02, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2435, decode.acc_seg: 72.7449, aux.loss_ce: 0.1225, aux.acc_seg: 71.1577, loss: 0.3660 2022-06-18 19:53:10,644 - mmseg - INFO - Iter [155600/160000] lr: 1.694e-06, eta: 0:17:50, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2455, decode.acc_seg: 74.8927, aux.loss_ce: 0.1205, aux.acc_seg: 73.3631, loss: 0.3660 2022-06-18 19:53:22,276 - mmseg - INFO - Iter [155650/160000] lr: 1.675e-06, eta: 0:17:38, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2594, decode.acc_seg: 71.6632, aux.loss_ce: 0.1316, aux.acc_seg: 69.8634, loss: 0.3910 2022-06-18 19:53:33,814 - mmseg - INFO - Iter [155700/160000] lr: 1.656e-06, eta: 0:17:26, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2442, decode.acc_seg: 71.5651, aux.loss_ce: 0.1217, aux.acc_seg: 69.9776, loss: 0.3658 2022-06-18 19:53:45,508 - mmseg - INFO - Iter [155750/160000] lr: 1.637e-06, eta: 0:17:14, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2514, decode.acc_seg: 72.9660, aux.loss_ce: 0.1242, aux.acc_seg: 71.4881, loss: 0.3756 2022-06-18 19:53:57,297 - mmseg - INFO - Iter [155800/160000] lr: 1.617e-06, eta: 0:17:01, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2607, decode.acc_seg: 73.2581, aux.loss_ce: 0.1314, aux.acc_seg: 71.4976, loss: 0.3921 2022-06-18 19:54:09,056 - mmseg - INFO - Iter [155850/160000] lr: 1.598e-06, eta: 0:16:49, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2330, decode.acc_seg: 72.3213, aux.loss_ce: 0.1171, aux.acc_seg: 70.8187, loss: 0.3502 2022-06-18 19:54:20,726 - mmseg - INFO - Iter [155900/160000] lr: 1.579e-06, eta: 0:16:37, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2497, decode.acc_seg: 71.6977, aux.loss_ce: 0.1253, aux.acc_seg: 70.0068, loss: 0.3750 2022-06-18 19:54:32,286 - mmseg - INFO - Iter [155950/160000] lr: 1.560e-06, eta: 0:16:25, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2503, decode.acc_seg: 74.8349, aux.loss_ce: 0.1264, aux.acc_seg: 73.0537, loss: 0.3766 2022-06-18 19:54:43,929 - mmseg - INFO - Saving checkpoint at 156000 iterations 2022-06-18 19:54:44,647 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 19:54:44,647 - mmseg - INFO - Iter [156000/160000] lr: 1.540e-06, eta: 0:16:13, time: 0.247, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2688, decode.acc_seg: 73.3942, aux.loss_ce: 0.1365, aux.acc_seg: 71.5353, loss: 0.4052 2022-06-18 19:54:56,413 - mmseg - INFO - Iter [156050/160000] lr: 1.521e-06, eta: 0:16:00, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2447, decode.acc_seg: 72.2025, aux.loss_ce: 0.1225, aux.acc_seg: 70.5600, loss: 0.3673 2022-06-18 19:55:07,927 - mmseg - INFO - Iter [156100/160000] lr: 1.502e-06, eta: 0:15:48, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2460, decode.acc_seg: 72.3607, aux.loss_ce: 0.1238, aux.acc_seg: 70.5731, loss: 0.3698 2022-06-18 19:55:19,660 - mmseg - INFO - Iter [156150/160000] lr: 1.483e-06, eta: 0:15:36, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2376, decode.acc_seg: 71.6390, aux.loss_ce: 0.1202, aux.acc_seg: 70.0255, loss: 0.3578 2022-06-18 19:55:31,399 - mmseg - INFO - Iter [156200/160000] lr: 1.463e-06, eta: 0:15:24, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2532, decode.acc_seg: 72.4287, aux.loss_ce: 0.1250, aux.acc_seg: 70.8528, loss: 0.3782 2022-06-18 19:55:43,050 - mmseg - INFO - Iter [156250/160000] lr: 1.444e-06, eta: 0:15:12, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2348, decode.acc_seg: 72.9197, aux.loss_ce: 0.1189, aux.acc_seg: 71.3146, loss: 0.3537 2022-06-18 19:55:54,687 - mmseg - INFO - Iter [156300/160000] lr: 1.425e-06, eta: 0:15:00, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2467, decode.acc_seg: 72.4849, aux.loss_ce: 0.1263, aux.acc_seg: 70.6567, loss: 0.3730 2022-06-18 19:56:06,214 - mmseg - INFO - Iter [156350/160000] lr: 1.406e-06, eta: 0:14:47, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2381, decode.acc_seg: 73.8152, aux.loss_ce: 0.1181, aux.acc_seg: 72.3674, loss: 0.3562 2022-06-18 19:56:17,995 - mmseg - INFO - Iter [156400/160000] lr: 1.386e-06, eta: 0:14:35, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2618, decode.acc_seg: 72.1966, aux.loss_ce: 0.1294, aux.acc_seg: 70.5500, loss: 0.3912 2022-06-18 19:56:29,805 - mmseg - INFO - Iter [156450/160000] lr: 1.367e-06, eta: 0:14:23, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2397, decode.acc_seg: 71.6219, aux.loss_ce: 0.1190, aux.acc_seg: 70.2158, loss: 0.3587 2022-06-18 19:56:41,545 - mmseg - INFO - Iter [156500/160000] lr: 1.348e-06, eta: 0:14:11, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2383, decode.acc_seg: 72.3711, aux.loss_ce: 0.1194, aux.acc_seg: 70.8824, loss: 0.3577 2022-06-18 19:56:53,323 - mmseg - INFO - Iter [156550/160000] lr: 1.329e-06, eta: 0:13:59, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2583, decode.acc_seg: 72.9256, aux.loss_ce: 0.1276, aux.acc_seg: 71.3940, loss: 0.3859 2022-06-18 19:57:05,098 - mmseg - INFO - Iter [156600/160000] lr: 1.309e-06, eta: 0:13:47, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2394, decode.acc_seg: 73.2189, aux.loss_ce: 0.1193, aux.acc_seg: 71.6633, loss: 0.3587 2022-06-18 19:57:19,082 - mmseg - INFO - Iter [156650/160000] lr: 1.290e-06, eta: 0:13:34, time: 0.280, data_time: 0.050, memory: 36048, decode.loss_ce: 0.2366, decode.acc_seg: 71.6720, aux.loss_ce: 0.1180, aux.acc_seg: 70.2016, loss: 0.3547 2022-06-18 19:57:30,601 - mmseg - INFO - Iter [156700/160000] lr: 1.271e-06, eta: 0:13:22, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2459, decode.acc_seg: 72.4805, aux.loss_ce: 0.1236, aux.acc_seg: 70.8748, loss: 0.3695 2022-06-18 19:57:42,468 - mmseg - INFO - Iter [156750/160000] lr: 1.252e-06, eta: 0:13:10, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2494, decode.acc_seg: 74.3805, aux.loss_ce: 0.1245, aux.acc_seg: 72.7588, loss: 0.3739 2022-06-18 19:57:53,977 - mmseg - INFO - Iter [156800/160000] lr: 1.232e-06, eta: 0:12:58, time: 0.230, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2506, decode.acc_seg: 73.7058, aux.loss_ce: 0.1238, aux.acc_seg: 72.1540, loss: 0.3745 2022-06-18 19:58:05,582 - mmseg - INFO - Iter [156850/160000] lr: 1.213e-06, eta: 0:12:46, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2541, decode.acc_seg: 72.0740, aux.loss_ce: 0.1267, aux.acc_seg: 70.3998, loss: 0.3808 2022-06-18 19:58:17,162 - mmseg - INFO - Iter [156900/160000] lr: 1.194e-06, eta: 0:12:34, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2566, decode.acc_seg: 73.1348, aux.loss_ce: 0.1278, aux.acc_seg: 71.5997, loss: 0.3844 2022-06-18 19:58:28,693 - mmseg - INFO - Iter [156950/160000] lr: 1.175e-06, eta: 0:12:21, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2644, decode.acc_seg: 72.2432, aux.loss_ce: 0.1312, aux.acc_seg: 70.5868, loss: 0.3955 2022-06-18 19:58:40,382 - mmseg - INFO - Saving checkpoint at 157000 iterations 2022-06-18 19:58:41,093 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 19:58:41,094 - mmseg - INFO - Iter [157000/160000] lr: 1.155e-06, eta: 0:12:09, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2354, decode.acc_seg: 72.9628, aux.loss_ce: 0.1175, aux.acc_seg: 71.4703, loss: 0.3529 2022-06-18 19:58:52,959 - mmseg - INFO - Iter [157050/160000] lr: 1.136e-06, eta: 0:11:57, time: 0.237, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2474, decode.acc_seg: 71.6171, aux.loss_ce: 0.1229, aux.acc_seg: 70.2026, loss: 0.3703 2022-06-18 19:59:04,629 - mmseg - INFO - Iter [157100/160000] lr: 1.117e-06, eta: 0:11:45, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2491, decode.acc_seg: 74.6392, aux.loss_ce: 0.1230, aux.acc_seg: 73.1040, loss: 0.3721 2022-06-18 19:59:16,243 - mmseg - INFO - Iter [157150/160000] lr: 1.098e-06, eta: 0:11:33, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2508, decode.acc_seg: 73.0698, aux.loss_ce: 0.1260, aux.acc_seg: 71.2840, loss: 0.3768 2022-06-18 19:59:27,996 - mmseg - INFO - Iter [157200/160000] lr: 1.078e-06, eta: 0:11:21, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2530, decode.acc_seg: 72.7145, aux.loss_ce: 0.1268, aux.acc_seg: 71.1071, loss: 0.3798 2022-06-18 19:59:39,431 - mmseg - INFO - Iter [157250/160000] lr: 1.059e-06, eta: 0:11:08, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2506, decode.acc_seg: 72.7749, aux.loss_ce: 0.1257, aux.acc_seg: 71.1989, loss: 0.3762 2022-06-18 19:59:51,149 - mmseg - INFO - Iter [157300/160000] lr: 1.040e-06, eta: 0:10:56, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2284, decode.acc_seg: 72.8254, aux.loss_ce: 0.1150, aux.acc_seg: 71.3231, loss: 0.3433 2022-06-18 20:00:02,809 - mmseg - INFO - Iter [157350/160000] lr: 1.021e-06, eta: 0:10:44, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2423, decode.acc_seg: 72.7323, aux.loss_ce: 0.1210, aux.acc_seg: 71.2502, loss: 0.3633 2022-06-18 20:00:14,548 - mmseg - INFO - Iter [157400/160000] lr: 1.001e-06, eta: 0:10:32, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2426, decode.acc_seg: 70.9395, aux.loss_ce: 0.1205, aux.acc_seg: 69.4220, loss: 0.3630 2022-06-18 20:00:25,985 - mmseg - INFO - Iter [157450/160000] lr: 9.822e-07, eta: 0:10:20, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2468, decode.acc_seg: 72.8031, aux.loss_ce: 0.1251, aux.acc_seg: 71.0559, loss: 0.3719 2022-06-18 20:00:37,379 - mmseg - INFO - Iter [157500/160000] lr: 9.629e-07, eta: 0:10:08, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2469, decode.acc_seg: 72.1663, aux.loss_ce: 0.1233, aux.acc_seg: 70.5641, loss: 0.3702 2022-06-18 20:00:48,714 - mmseg - INFO - Iter [157550/160000] lr: 9.437e-07, eta: 0:09:55, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2484, decode.acc_seg: 71.2864, aux.loss_ce: 0.1258, aux.acc_seg: 69.4831, loss: 0.3742 2022-06-18 20:01:00,374 - mmseg - INFO - Iter [157600/160000] lr: 9.244e-07, eta: 0:09:43, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2432, decode.acc_seg: 72.1096, aux.loss_ce: 0.1248, aux.acc_seg: 70.2744, loss: 0.3680 2022-06-18 20:01:11,911 - mmseg - INFO - Iter [157650/160000] lr: 9.052e-07, eta: 0:09:31, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2374, decode.acc_seg: 72.3339, aux.loss_ce: 0.1181, aux.acc_seg: 70.7725, loss: 0.3554 2022-06-18 20:01:23,502 - mmseg - INFO - Iter [157700/160000] lr: 8.859e-07, eta: 0:09:19, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2464, decode.acc_seg: 73.9435, aux.loss_ce: 0.1251, aux.acc_seg: 72.2811, loss: 0.3715 2022-06-18 20:01:35,160 - mmseg - INFO - Iter [157750/160000] lr: 8.666e-07, eta: 0:09:07, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2457, decode.acc_seg: 73.8816, aux.loss_ce: 0.1224, aux.acc_seg: 72.1446, loss: 0.3681 2022-06-18 20:01:46,720 - mmseg - INFO - Iter [157800/160000] lr: 8.474e-07, eta: 0:08:55, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2432, decode.acc_seg: 73.0814, aux.loss_ce: 0.1208, aux.acc_seg: 71.4985, loss: 0.3639 2022-06-18 20:01:58,415 - mmseg - INFO - Iter [157850/160000] lr: 8.281e-07, eta: 0:08:42, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2462, decode.acc_seg: 74.5240, aux.loss_ce: 0.1227, aux.acc_seg: 72.8494, loss: 0.3688 2022-06-18 20:02:12,269 - mmseg - INFO - Iter [157900/160000] lr: 8.089e-07, eta: 0:08:30, time: 0.277, data_time: 0.050, memory: 36048, decode.loss_ce: 0.2477, decode.acc_seg: 72.8329, aux.loss_ce: 0.1206, aux.acc_seg: 71.3935, loss: 0.3683 2022-06-18 20:02:23,819 - mmseg - INFO - Iter [157950/160000] lr: 7.896e-07, eta: 0:08:18, time: 0.231, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2400, decode.acc_seg: 72.8661, aux.loss_ce: 0.1188, aux.acc_seg: 71.4018, loss: 0.3588 2022-06-18 20:02:35,517 - mmseg - INFO - Saving checkpoint at 158000 iterations 2022-06-18 20:02:36,238 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 20:02:36,238 - mmseg - INFO - Iter [158000/160000] lr: 7.704e-07, eta: 0:08:06, time: 0.248, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2484, decode.acc_seg: 72.2503, aux.loss_ce: 0.1248, aux.acc_seg: 70.5549, loss: 0.3732 2022-06-18 20:02:47,980 - mmseg - INFO - Iter [158050/160000] lr: 7.511e-07, eta: 0:07:54, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2320, decode.acc_seg: 72.7021, aux.loss_ce: 0.1163, aux.acc_seg: 71.1508, loss: 0.3483 2022-06-18 20:02:59,727 - mmseg - INFO - Iter [158100/160000] lr: 7.319e-07, eta: 0:07:42, time: 0.235, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2497, decode.acc_seg: 72.1801, aux.loss_ce: 0.1264, aux.acc_seg: 70.3558, loss: 0.3761 2022-06-18 20:03:11,326 - mmseg - INFO - Iter [158150/160000] lr: 7.126e-07, eta: 0:07:29, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2464, decode.acc_seg: 72.9856, aux.loss_ce: 0.1243, aux.acc_seg: 71.3427, loss: 0.3706 2022-06-18 20:03:22,808 - mmseg - INFO - Iter [158200/160000] lr: 6.934e-07, eta: 0:07:17, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2416, decode.acc_seg: 72.7348, aux.loss_ce: 0.1209, aux.acc_seg: 71.1885, loss: 0.3626 2022-06-18 20:03:34,411 - mmseg - INFO - Iter [158250/160000] lr: 6.741e-07, eta: 0:07:05, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2429, decode.acc_seg: 73.4443, aux.loss_ce: 0.1224, aux.acc_seg: 71.7073, loss: 0.3653 2022-06-18 20:03:45,891 - mmseg - INFO - Iter [158300/160000] lr: 6.549e-07, eta: 0:06:53, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2524, decode.acc_seg: 73.4217, aux.loss_ce: 0.1259, aux.acc_seg: 71.8922, loss: 0.3783 2022-06-18 20:03:57,485 - mmseg - INFO - Iter [158350/160000] lr: 6.356e-07, eta: 0:06:41, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2565, decode.acc_seg: 72.4821, aux.loss_ce: 0.1292, aux.acc_seg: 70.8552, loss: 0.3857 2022-06-18 20:04:09,433 - mmseg - INFO - Iter [158400/160000] lr: 6.164e-07, eta: 0:06:29, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2440, decode.acc_seg: 72.2215, aux.loss_ce: 0.1226, aux.acc_seg: 70.5878, loss: 0.3665 2022-06-18 20:04:21,511 - mmseg - INFO - Iter [158450/160000] lr: 5.971e-07, eta: 0:06:16, time: 0.242, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2502, decode.acc_seg: 71.2666, aux.loss_ce: 0.1242, aux.acc_seg: 69.8114, loss: 0.3744 2022-06-18 20:04:33,417 - mmseg - INFO - Iter [158500/160000] lr: 5.779e-07, eta: 0:06:04, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2366, decode.acc_seg: 74.1479, aux.loss_ce: 0.1199, aux.acc_seg: 72.3713, loss: 0.3565 2022-06-18 20:04:45,060 - mmseg - INFO - Iter [158550/160000] lr: 5.586e-07, eta: 0:05:52, time: 0.233, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2487, decode.acc_seg: 72.2189, aux.loss_ce: 0.1239, aux.acc_seg: 70.6432, loss: 0.3726 2022-06-18 20:04:56,438 - mmseg - INFO - Iter [158600/160000] lr: 5.394e-07, eta: 0:05:40, time: 0.227, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2518, decode.acc_seg: 72.1339, aux.loss_ce: 0.1282, aux.acc_seg: 70.4729, loss: 0.3800 2022-06-18 20:05:07,987 - mmseg - INFO - Iter [158650/160000] lr: 5.201e-07, eta: 0:05:28, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2365, decode.acc_seg: 73.0205, aux.loss_ce: 0.1182, aux.acc_seg: 71.4028, loss: 0.3547 2022-06-18 20:05:19,532 - mmseg - INFO - Iter [158700/160000] lr: 5.009e-07, eta: 0:05:16, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2412, decode.acc_seg: 73.1745, aux.loss_ce: 0.1224, aux.acc_seg: 71.5396, loss: 0.3636 2022-06-18 20:05:30,918 - mmseg - INFO - Iter [158750/160000] lr: 4.816e-07, eta: 0:05:03, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2471, decode.acc_seg: 73.4858, aux.loss_ce: 0.1242, aux.acc_seg: 71.7647, loss: 0.3713 2022-06-18 20:05:42,381 - mmseg - INFO - Iter [158800/160000] lr: 4.624e-07, eta: 0:04:51, time: 0.229, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2540, decode.acc_seg: 73.0649, aux.loss_ce: 0.1260, aux.acc_seg: 71.4893, loss: 0.3800 2022-06-18 20:05:54,229 - mmseg - INFO - Iter [158850/160000] lr: 4.431e-07, eta: 0:04:39, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2465, decode.acc_seg: 71.6819, aux.loss_ce: 0.1235, aux.acc_seg: 69.8237, loss: 0.3700 2022-06-18 20:06:05,960 - mmseg - INFO - Iter [158900/160000] lr: 4.239e-07, eta: 0:04:27, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2428, decode.acc_seg: 72.2184, aux.loss_ce: 0.1220, aux.acc_seg: 70.7175, loss: 0.3647 2022-06-18 20:06:17,584 - mmseg - INFO - Iter [158950/160000] lr: 4.046e-07, eta: 0:04:15, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2456, decode.acc_seg: 73.8635, aux.loss_ce: 0.1231, aux.acc_seg: 72.2431, loss: 0.3687 2022-06-18 20:06:29,207 - mmseg - INFO - Saving checkpoint at 159000 iterations 2022-06-18 20:06:29,942 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 20:06:29,942 - mmseg - INFO - Iter [159000/160000] lr: 3.854e-07, eta: 0:04:03, time: 0.248, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2494, decode.acc_seg: 72.5653, aux.loss_ce: 0.1263, aux.acc_seg: 70.7767, loss: 0.3757 2022-06-18 20:06:41,642 - mmseg - INFO - Iter [159050/160000] lr: 3.661e-07, eta: 0:03:50, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2480, decode.acc_seg: 73.4645, aux.loss_ce: 0.1235, aux.acc_seg: 71.8778, loss: 0.3715 2022-06-18 20:06:53,523 - mmseg - INFO - Iter [159100/160000] lr: 3.469e-07, eta: 0:03:38, time: 0.238, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2489, decode.acc_seg: 72.6619, aux.loss_ce: 0.1235, aux.acc_seg: 71.1764, loss: 0.3724 2022-06-18 20:07:07,307 - mmseg - INFO - Iter [159150/160000] lr: 3.276e-07, eta: 0:03:26, time: 0.276, data_time: 0.050, memory: 36048, decode.loss_ce: 0.2516, decode.acc_seg: 72.1366, aux.loss_ce: 0.1251, aux.acc_seg: 70.6417, loss: 0.3767 2022-06-18 20:07:18,938 - mmseg - INFO - Iter [159200/160000] lr: 3.084e-07, eta: 0:03:14, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2382, decode.acc_seg: 73.3173, aux.loss_ce: 0.1187, aux.acc_seg: 71.7686, loss: 0.3569 2022-06-18 20:07:30,701 - mmseg - INFO - Iter [159250/160000] lr: 2.891e-07, eta: 0:03:02, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2264, decode.acc_seg: 73.9739, aux.loss_ce: 0.1133, aux.acc_seg: 72.4610, loss: 0.3397 2022-06-18 20:07:42,179 - mmseg - INFO - Iter [159300/160000] lr: 2.699e-07, eta: 0:02:50, time: 0.230, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2500, decode.acc_seg: 72.7165, aux.loss_ce: 0.1248, aux.acc_seg: 71.1538, loss: 0.3748 2022-06-18 20:07:53,737 - mmseg - INFO - Iter [159350/160000] lr: 2.506e-07, eta: 0:02:38, time: 0.231, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2501, decode.acc_seg: 73.3160, aux.loss_ce: 0.1259, aux.acc_seg: 71.6478, loss: 0.3760 2022-06-18 20:08:05,444 - mmseg - INFO - Iter [159400/160000] lr: 2.314e-07, eta: 0:02:25, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2354, decode.acc_seg: 73.0360, aux.loss_ce: 0.1166, aux.acc_seg: 71.5801, loss: 0.3521 2022-06-18 20:08:17,095 - mmseg - INFO - Iter [159450/160000] lr: 2.121e-07, eta: 0:02:13, time: 0.232, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2467, decode.acc_seg: 71.8022, aux.loss_ce: 0.1207, aux.acc_seg: 70.3944, loss: 0.3674 2022-06-18 20:08:28,878 - mmseg - INFO - Iter [159500/160000] lr: 1.929e-07, eta: 0:02:01, time: 0.236, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2415, decode.acc_seg: 71.5560, aux.loss_ce: 0.1209, aux.acc_seg: 69.9996, loss: 0.3624 2022-06-18 20:08:40,316 - mmseg - INFO - Iter [159550/160000] lr: 1.736e-07, eta: 0:01:49, time: 0.228, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2474, decode.acc_seg: 72.0356, aux.loss_ce: 0.1255, aux.acc_seg: 70.3325, loss: 0.3728 2022-06-18 20:08:52,249 - mmseg - INFO - Iter [159600/160000] lr: 1.544e-07, eta: 0:01:37, time: 0.239, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2380, decode.acc_seg: 73.7375, aux.loss_ce: 0.1201, aux.acc_seg: 72.0745, loss: 0.3581 2022-06-18 20:09:04,150 - mmseg - INFO - Iter [159650/160000] lr: 1.351e-07, eta: 0:01:25, time: 0.238, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2438, decode.acc_seg: 72.8628, aux.loss_ce: 0.1220, aux.acc_seg: 71.1720, loss: 0.3658 2022-06-18 20:09:15,836 - mmseg - INFO - Iter [159700/160000] lr: 1.159e-07, eta: 0:01:12, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2445, decode.acc_seg: 72.2348, aux.loss_ce: 0.1217, aux.acc_seg: 70.6090, loss: 0.3663 2022-06-18 20:09:27,701 - mmseg - INFO - Iter [159750/160000] lr: 9.664e-08, eta: 0:01:00, time: 0.237, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2360, decode.acc_seg: 71.5794, aux.loss_ce: 0.1156, aux.acc_seg: 70.2764, loss: 0.3516 2022-06-18 20:09:39,486 - mmseg - INFO - Iter [159800/160000] lr: 7.739e-08, eta: 0:00:48, time: 0.236, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2538, decode.acc_seg: 73.3407, aux.loss_ce: 0.1289, aux.acc_seg: 71.4867, loss: 0.3827 2022-06-18 20:09:51,213 - mmseg - INFO - Iter [159850/160000] lr: 5.814e-08, eta: 0:00:36, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2395, decode.acc_seg: 71.8352, aux.loss_ce: 0.1206, aux.acc_seg: 70.2502, loss: 0.3600 2022-06-18 20:10:02,939 - mmseg - INFO - Iter [159900/160000] lr: 3.889e-08, eta: 0:00:24, time: 0.235, data_time: 0.004, memory: 36048, decode.loss_ce: 0.2408, decode.acc_seg: 72.5069, aux.loss_ce: 0.1200, aux.acc_seg: 70.8975, loss: 0.3608 2022-06-18 20:10:14,621 - mmseg - INFO - Iter [159950/160000] lr: 1.964e-08, eta: 0:00:12, time: 0.234, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2383, decode.acc_seg: 74.4057, aux.loss_ce: 0.1193, aux.acc_seg: 72.7975, loss: 0.3577 2022-06-18 20:10:26,308 - mmseg - INFO - Saving checkpoint at 160000 iterations 2022-06-18 20:10:27,052 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 20:10:27,052 - mmseg - INFO - Iter [160000/160000] lr: 3.850e-10, eta: 0:00:00, time: 0.249, data_time: 0.003, memory: 36048, decode.loss_ce: 0.2447, decode.acc_seg: 73.2271, aux.loss_ce: 0.1239, aux.acc_seg: 71.5057, loss: 0.3686 2022-06-18 20:10:45,608 - mmseg - INFO - per class results: 2022-06-18 20:10:45,614 - mmseg - INFO - +---------------------+-------+-------+ | Class | IoU | Acc | +---------------------+-------+-------+ | wall | 73.85 | 87.16 | | building | 80.15 | 91.6 | | sky | 93.92 | 97.07 | | floor | 79.16 | 89.14 | | tree | 72.33 | 86.97 | | ceiling | 82.08 | 90.49 | | road | 80.02 | 86.99 | | bed | 84.73 | 94.23 | | windowpane | 57.24 | 74.99 | | grass | 64.46 | 79.73 | | cabinet | 57.36 | 71.09 | | sidewalk | 57.4 | 78.4 | | person | 76.59 | 90.93 | | earth | 30.98 | 42.6 | | door | 40.75 | 53.21 | | table | 51.57 | 71.04 | | mountain | 51.28 | 66.22 | | plant | 48.51 | 60.39 | | curtain | 67.94 | 80.84 | | chair | 49.35 | 65.23 | | car | 79.42 | 90.39 | | water | 47.33 | 57.9 | | painting | 66.3 | 85.04 | | sofa | 60.28 | 78.37 | | shelf | 38.48 | 56.58 | | house | 42.61 | 55.06 | | sea | 45.83 | 77.72 | | mirror | 59.61 | 68.99 | | rug | 61.37 | 69.55 | | field | 33.45 | 53.57 | | armchair | 38.4 | 55.71 | | seat | 54.82 | 69.39 | | fence | 39.31 | 53.62 | | desk | 43.87 | 62.32 | | rock | 34.38 | 57.88 | | wardrobe | 53.11 | 68.61 | | lamp | 53.86 | 69.34 | | bathtub | 68.78 | 76.74 | | railing | 24.51 | 35.84 | | cushion | 48.44 | 61.72 | | base | 23.29 | 29.71 | | box | 19.37 | 28.35 | | column | 37.99 | 49.23 | | signboard | 32.25 | 44.12 | | chest of drawers | 36.54 | 53.57 | | counter | 22.01 | 28.7 | | sand | 30.14 | 51.25 | | sink | 63.26 | 75.45 | | skyscraper | 47.69 | 61.34 | | fireplace | 72.11 | 83.03 | | refrigerator | 68.81 | 76.79 | | grandstand | 37.15 | 63.75 | | path | 19.2 | 26.25 | | stairs | 23.87 | 29.9 | | runway | 72.17 | 93.42 | | case | 36.31 | 48.62 | | pool table | 92.2 | 95.84 | | pillow | 52.02 | 63.06 | | screen door | 61.86 | 75.97 | | stairway | 24.08 | 35.78 | | river | 14.96 | 26.29 | | bridge | 49.4 | 62.82 | | bookcase | 42.76 | 68.08 | | blind | 33.82 | 41.95 | | coffee table | 52.79 | 75.04 | | toilet | 78.5 | 87.0 | | flower | 37.52 | 52.72 | | book | 43.4 | 62.42 | | hill | 7.88 | 14.15 | | bench | 36.93 | 43.67 | | countertop | 49.72 | 69.23 | | stove | 60.29 | 70.78 | | palm | 44.93 | 66.44 | | kitchen island | 25.89 | 44.98 | | computer | 52.35 | 64.34 | | swivel chair | 38.35 | 53.53 | | boat | 32.78 | 38.47 | | bar | 18.51 | 25.73 | | arcade machine | 14.93 | 15.46 | | hovel | 19.52 | 30.91 | | bus | 78.7 | 87.17 | | towel | 48.95 | 63.94 | | light | 49.67 | 55.61 | | truck | 11.18 | 18.21 | | tower | 24.62 | 41.65 | | chandelier | 59.29 | 71.57 | | awning | 22.7 | 28.09 | | streetlight | 17.37 | 21.38 | | booth | 53.86 | 64.87 | | television receiver | 59.11 | 74.9 | | airplane | 51.75 | 63.73 | | dirt track | 3.62 | 7.08 | | apparel | 32.72 | 48.27 | | pole | 16.87 | 24.06 | | land | 3.11 | 5.06 | | bannister | 8.31 | 12.29 | | escalator | 18.88 | 21.91 | | ottoman | 37.7 | 54.32 | | bottle | 29.74 | 47.72 | | buffet | 36.63 | 42.19 | | poster | 21.55 | 27.08 | | stage | 13.12 | 26.21 | | van | 38.3 | 48.34 | | ship | 45.25 | 71.19 | | fountain | 10.83 | 11.34 | | conveyer belt | 71.22 | 82.76 | | canopy | 23.71 | 29.94 | | washer | 69.15 | 71.17 | | plaything | 16.82 | 24.25 | | swimming pool | 60.71 | 78.6 | | stool | 32.12 | 42.9 | | barrel | 53.02 | 60.77 | | basket | 19.26 | 26.77 | | waterfall | 63.07 | 70.8 | | tent | 93.42 | 98.47 | | bag | 5.47 | 6.78 | | minibike | 47.66 | 56.76 | | cradle | 79.89 | 93.88 | | oven | 26.4 | 38.79 | | ball | 36.71 | 43.07 | | food | 46.98 | 56.62 | | step | 8.85 | 12.28 | | tank | 36.58 | 43.39 | | trade name | 18.14 | 19.2 | | microwave | 37.06 | 41.18 | | pot | 27.72 | 31.54 | | animal | 53.02 | 58.82 | | bicycle | 40.54 | 65.16 | | lake | 61.08 | 63.71 | | dishwasher | 46.74 | 63.64 | | screen | 66.87 | 81.49 | | blanket | 8.25 | 9.54 | | sculpture | 37.18 | 46.52 | | hood | 52.66 | 61.6 | | sconce | 34.73 | 41.3 | | vase | 26.09 | 37.94 | | traffic light | 20.44 | 32.18 | | tray | 5.15 | 10.2 | | ashcan | 32.05 | 40.65 | | fan | 51.3 | 66.54 | | pier | 30.17 | 44.85 | | crt screen | 1.95 | 3.53 | | plate | 42.17 | 54.18 | | monitor | 38.01 | 50.52 | | bulletin board | 34.59 | 42.96 | | shower | 0.0 | 0.0 | | radiator | 53.55 | 62.98 | | glass | 5.49 | 6.79 | | clock | 20.48 | 24.41 | | flag | 28.67 | 31.48 | +---------------------+-------+-------+ 2022-06-19 18:29:16,181 - mmseg - INFO - Summary: 2022-06-19 18:29:16,181 - mmseg - INFO - +-------+-------+-------+ | aAcc | mIoU | mAcc | +-------+-------+-------+ | 80.27 | 42.55 | 53.73 | +-------+-------+-------+ 2022-06-18 20:10:45,666 - mmseg - INFO - The previous best checkpoint /home/chenzhe/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_deit_adapter_tiny_512_160_ade20k_try2/best_mIoU_iter_128000.pth was removed 2022-06-18 20:10:46,344 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_160000.pth. 2022-06-18 20:10:46,344 - mmseg - INFO - Best mIoU is 0.4255 at 160000 iter. 2022-06-18 20:10:46,355 - mmseg - INFO - Exp name: upernet_deit_adapter_tiny_512_160_ade20k_try2.py 2022-06-18 20:10:46,355 - mmseg - INFO - Iter(val) [250]