diff --git "a/upernet_deit_adapter_base_512_160k_ade20k.log" "b/upernet_deit_adapter_base_512_160k_ade20k.log" new file mode 100644--- /dev/null +++ "b/upernet_deit_adapter_base_512_160k_ade20k.log" @@ -0,0 +1,7287 @@ +2022-06-19 01:10:44,815 - mmseg - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB +CUDA_HOME: /mnt/lustre/share/cuda-11.1 +NVCC: Build cuda_11.1.TC455_06.29069683_0 +GCC: gcc (GCC) 7.3.0 +PyTorch: 1.9.0+cu111 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 + - CuDNN 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.10.0+cu111 +OpenCV: 4.5.5 +MMCV: 1.4.2 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.1 +MMSegmentation: 0.20.2+ +------------------------------------------------------------ + +2022-06-19 01:10:44,818 - mmseg - INFO - Distributed training: True +2022-06-19 01:10:45,205 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +model = dict( + type='EncoderDecoder', + pretrained='pretrained/deit_base_patch16_224-b5f2ef4d.pth', + backbone=dict( + type='ViTAdapter', + patch_size=16, + embed_dim=768, + depth=12, + num_heads=12, + mlp_ratio=4, + drop_path_rate=0.3, + conv_inplane=64, + n_points=4, + deform_num_heads=12, + cffn_ratio=0.25, + deform_ratio=0.5, + 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=[768, 768, 768, 768], + 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=768, + in_index=2, + channels=256, + num_convs=1, + concat_input=False, + dropout_ratio=0.1, + num_classes=150, + norm_cfg=dict(type='SyncBN', requires_grad=True), + align_corners=False, + loss_decode=dict( + type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.4)), + train_cfg=dict(), + test_cfg=dict(mode='slide', crop_size=(512, 512), stride=(341, 341))) +dataset_type = 'ADE20KDataset' +data_root = 'data/ade/ADEChallengeData2016' +img_norm_cfg = dict( + mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) +crop_size = (512, 512) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=True), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=255), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) +] +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='ResizeToMultiple', size_divisor=32), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) +] +data = dict( + samples_per_gpu=2, + workers_per_gpu=4, + train=dict( + type='ADE20KDataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/training', + ann_dir='annotations/training', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(type='LoadAnnotations', reduce_zero_label=True), + dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)), + dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75), + dict(type='RandomFlip', prob=0.5), + dict(type='PhotoMetricDistortion'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=255), + dict(type='DefaultFormatBundle'), + dict(type='Collect', keys=['img', 'gt_semantic_seg']) + ]), + val=dict( + type='ADE20KDataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='ResizeToMultiple', size_divisor=32), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ]), + test=dict( + type='ADE20KDataset', + data_root='data/ade/ADEChallengeData2016', + img_dir='images/validation', + ann_dir='annotations/validation', + pipeline=[ + dict(type='LoadImageFromFile'), + dict( + type='MultiScaleFlipAug', + img_scale=(2048, 512), + flip=False, + transforms=[ + dict(type='Resize', keep_ratio=True), + dict(type='ResizeToMultiple', size_divisor=32), + dict(type='RandomFlip'), + dict( + type='Normalize', + mean=[123.675, 116.28, 103.53], + std=[58.395, 57.12, 57.375], + to_rgb=True), + dict(type='ImageToTensor', keys=['img']), + dict(type='Collect', keys=['img']) + ]) + ])) +log_config = dict( + interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)]) +dist_params = dict(backend='nccl') +log_level = 'INFO' +load_from = None +resume_from = None +workflow = [('train', 1)] +cudnn_benchmark = True +optimizer = dict( + type='AdamW', + lr=6e-05, + betas=(0.9, 0.999), + weight_decay=0.01, + 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_base_patch16_224-b5f2ef4d.pth' +work_dir = './work_dirs/upernet_deit_adapter_base_512_160k_ade20k' +gpu_ids = range(0, 8) +auto_resume = False + +2022-06-19 01:11:35,221 - mmseg - INFO - Set random seed to 1846842150, deterministic: False +2022-06-19 01:11:38,461 - 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.4.gamma1, blocks.6.gamma1, blocks.4.gamma2, blocks.7.gamma2, blocks.2.gamma2, blocks.5.gamma1, blocks.0.gamma1, blocks.6.gamma2, blocks.5.gamma2, blocks.10.gamma1, blocks.9.gamma2, blocks.3.gamma1, blocks.7.gamma1, blocks.11.gamma1, blocks.8.gamma2, blocks.0.gamma2, blocks.3.gamma2, blocks.1.gamma1, blocks.11.gamma2, blocks.1.gamma2, blocks.9.gamma1, blocks.2.gamma1, blocks.8.gamma1, blocks.10.gamma2 + +2022-06-19 01:11:39,181 - mmseg - INFO - initialize UPerHead with init_cfg {'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} +2022-06-19 01:11:39,319 - 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, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.level_embed - torch.Size([3, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.patch_embed.proj.weight - torch.Size([768, 3, 16, 16]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.patch_embed.proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.gamma1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.gamma2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.attn.qkv.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.attn.qkv.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.attn.proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.attn.proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.mlp.fc1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.mlp.fc1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.mlp.fc2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.0.mlp.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.gamma1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.gamma2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.attn.qkv.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.attn.qkv.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.attn.proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.attn.proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.mlp.fc1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.mlp.fc1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.mlp.fc2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.1.mlp.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.gamma1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.gamma2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.attn.qkv.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.attn.qkv.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.attn.proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.attn.proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.mlp.fc1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.mlp.fc1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.mlp.fc2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.2.mlp.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.gamma1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.gamma2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.attn.qkv.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.attn.qkv.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.attn.proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.attn.proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.mlp.fc1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.mlp.fc1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.mlp.fc2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.3.mlp.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.gamma1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.gamma2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.attn.qkv.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.attn.qkv.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.attn.proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.attn.proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.mlp.fc1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.mlp.fc1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.mlp.fc2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.4.mlp.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.gamma1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.gamma2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.attn.qkv.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.attn.qkv.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.attn.proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.attn.proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.mlp.fc1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.mlp.fc1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.mlp.fc2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.5.mlp.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.gamma1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.gamma2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.attn.qkv.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.attn.qkv.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.attn.proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.attn.proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.mlp.fc1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.mlp.fc1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.mlp.fc2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.6.mlp.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.gamma1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.gamma2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.attn.qkv.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.attn.qkv.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.attn.proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.attn.proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.mlp.fc1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.mlp.fc1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.mlp.fc2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.7.mlp.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.gamma1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.gamma2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.attn.qkv.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.attn.qkv.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.attn.proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.attn.proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.mlp.fc1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.mlp.fc1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.mlp.fc2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.8.mlp.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.gamma1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.gamma2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.attn.qkv.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.attn.qkv.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.attn.proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.attn.proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.mlp.fc1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.mlp.fc1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.mlp.fc2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.9.mlp.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.gamma1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.gamma2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.attn.qkv.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.attn.qkv.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.attn.proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.attn.proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.mlp.fc1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.mlp.fc1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.mlp.fc2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.10.mlp.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.gamma1 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.gamma2 - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.attn.qkv.weight - torch.Size([2304, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.attn.qkv.bias - torch.Size([2304]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.attn.proj.weight - torch.Size([768, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.attn.proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.mlp.fc1.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.mlp.fc1.bias - torch.Size([3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.mlp.fc2.weight - torch.Size([768, 3072]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.blocks.11.mlp.fc2.bias - torch.Size([768]): +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([768, 64, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.fc1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.fc2.weight - torch.Size([768, 128, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.fc3.weight - torch.Size([768, 256, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.fc3.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.fc4.weight - torch.Size([768, 256, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.spm.fc4.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.gamma - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.attn.sampling_offsets.weight - torch.Size([288, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.attn.sampling_offsets.bias - torch.Size([288]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.attn.attention_weights.weight - torch.Size([144, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.attn.attention_weights.bias - torch.Size([144]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.injector.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.ffn.dwconv.dwconv.weight - torch.Size([192, 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([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.0.extractor.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.gamma - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.attn.sampling_offsets.weight - torch.Size([288, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.attn.sampling_offsets.bias - torch.Size([288]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.attn.attention_weights.weight - torch.Size([144, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.attn.attention_weights.bias - torch.Size([144]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.injector.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.ffn.dwconv.dwconv.weight - torch.Size([192, 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([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.1.extractor.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.gamma - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.attn.sampling_offsets.weight - torch.Size([288, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.attn.sampling_offsets.bias - torch.Size([288]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.attn.attention_weights.weight - torch.Size([144, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.attn.attention_weights.bias - torch.Size([144]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.injector.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.ffn.dwconv.dwconv.weight - torch.Size([192, 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([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.2.extractor.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.gamma - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.attn.sampling_offsets.weight - torch.Size([288, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.attn.sampling_offsets.bias - torch.Size([288]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.attn.attention_weights.weight - torch.Size([144, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.attn.attention_weights.bias - torch.Size([144]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.injector.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.ffn.dwconv.dwconv.weight - torch.Size([192, 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([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extractor.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.feat_norm.bias - torch.Size([768]): +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([96, 768]): +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([96]): +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([48, 768]): +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([48]): +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([384, 768]): +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([384]): +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([768, 384]): +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([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.ffn.fc1.bias - torch.Size([192]): +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([192, 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([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.0.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.feat_norm.bias - torch.Size([768]): +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([96, 768]): +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([96]): +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([48, 768]): +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([48]): +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([384, 768]): +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([384]): +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([768, 384]): +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([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.ffn.fc1.bias - torch.Size([192]): +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([192, 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([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interactions.3.extra_extractors.1.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.up.weight - torch.Size([768, 768, 2, 2]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.up.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm2.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm3.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm3.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm4.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.norm4.bias - torch.Size([768]): +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, 768, 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, 768, 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, 768, 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, 768, 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, 2816, 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, 768, 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, 768, 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, 768, 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, 768, 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 +2022-06-19 01:11:39,324 - mmseg - INFO - EncoderDecoder( + (backbone): ViTAdapter( + (patch_embed): PatchEmbed( + (proj): Conv2d(3, 768, kernel_size=(16, 16), stride=(16, 16)) + (norm): Identity() + ) + (pos_drop): Dropout(p=0.0, inplace=False) + (blocks): Sequential( + (0): Block( + (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=768, out_features=2304, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=768, out_features=768, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): Identity() + (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (act): GELU() + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): Block( + (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=768, out_features=2304, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=768, out_features=768, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (act): GELU() + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): Block( + (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=768, out_features=2304, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=768, out_features=768, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (act): GELU() + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): Block( + (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=768, out_features=2304, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=768, out_features=768, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (act): GELU() + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): Block( + (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=768, out_features=2304, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=768, out_features=768, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (act): GELU() + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): Block( + (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=768, out_features=2304, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=768, out_features=768, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (act): GELU() + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (6): Block( + (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=768, out_features=2304, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=768, out_features=768, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (act): GELU() + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (7): Block( + (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=768, out_features=2304, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=768, out_features=768, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (act): GELU() + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (8): Block( + (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=768, out_features=2304, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=768, out_features=768, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (act): GELU() + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (9): Block( + (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=768, out_features=2304, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=768, out_features=768, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (act): GELU() + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (10): Block( + (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=768, out_features=2304, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=768, out_features=768, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (act): GELU() + (fc2): Linear(in_features=3072, out_features=768, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (11): Block( + (norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): Attention( + (qkv): Linear(in_features=768, out_features=2304, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=768, out_features=768, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + ) + (drop_path): DropPath() + (norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=768, out_features=3072, bias=True) + (act): GELU() + (fc2): Linear(in_features=3072, out_features=768, 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, 768, kernel_size=(1, 1), stride=(1, 1)) + (fc2): Conv2d(128, 768, kernel_size=(1, 1), stride=(1, 1)) + (fc3): Conv2d(256, 768, kernel_size=(1, 1), stride=(1, 1)) + (fc4): Conv2d(256, 768, kernel_size=(1, 1), stride=(1, 1)) + ) + (interactions): Sequential( + (0): InteractionBlock( + (injector): Injector( + (query_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=768, out_features=288, bias=True) + (attention_weights): Linear(in_features=768, out_features=144, bias=True) + (value_proj): Linear(in_features=768, out_features=384, bias=True) + (output_proj): Linear(in_features=384, out_features=768, bias=True) + ) + ) + (extractor): Extractor( + (query_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=768, out_features=96, bias=True) + (attention_weights): Linear(in_features=768, out_features=48, bias=True) + (value_proj): Linear(in_features=768, out_features=384, bias=True) + (output_proj): Linear(in_features=384, out_features=768, bias=True) + ) + (ffn): ConvFFN( + (fc1): Linear(in_features=768, out_features=192, bias=True) + (dwconv): DWConv( + (dwconv): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=192) + ) + (act): GELU() + (fc2): Linear(in_features=192, out_features=768, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + (ffn_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (drop_path): DropPath() + ) + ) + (1): InteractionBlock( + (injector): Injector( + (query_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=768, out_features=288, bias=True) + (attention_weights): Linear(in_features=768, out_features=144, bias=True) + (value_proj): Linear(in_features=768, out_features=384, bias=True) + (output_proj): Linear(in_features=384, out_features=768, bias=True) + ) + ) + (extractor): Extractor( + (query_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=768, out_features=96, bias=True) + (attention_weights): Linear(in_features=768, out_features=48, bias=True) + (value_proj): Linear(in_features=768, out_features=384, bias=True) + (output_proj): Linear(in_features=384, out_features=768, bias=True) + ) + (ffn): ConvFFN( + (fc1): Linear(in_features=768, out_features=192, bias=True) + (dwconv): DWConv( + (dwconv): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=192) + ) + (act): GELU() + (fc2): Linear(in_features=192, out_features=768, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + (ffn_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (drop_path): DropPath() + ) + ) + (2): InteractionBlock( + (injector): Injector( + (query_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=768, out_features=288, bias=True) + (attention_weights): Linear(in_features=768, out_features=144, bias=True) + (value_proj): Linear(in_features=768, out_features=384, bias=True) + (output_proj): Linear(in_features=384, out_features=768, bias=True) + ) + ) + (extractor): Extractor( + (query_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=768, out_features=96, bias=True) + (attention_weights): Linear(in_features=768, out_features=48, bias=True) + (value_proj): Linear(in_features=768, out_features=384, bias=True) + (output_proj): Linear(in_features=384, out_features=768, bias=True) + ) + (ffn): ConvFFN( + (fc1): Linear(in_features=768, out_features=192, bias=True) + (dwconv): DWConv( + (dwconv): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=192) + ) + (act): GELU() + (fc2): Linear(in_features=192, out_features=768, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + (ffn_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (drop_path): DropPath() + ) + ) + (3): InteractionBlock( + (injector): Injector( + (query_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=768, out_features=288, bias=True) + (attention_weights): Linear(in_features=768, out_features=144, bias=True) + (value_proj): Linear(in_features=768, out_features=384, bias=True) + (output_proj): Linear(in_features=384, out_features=768, bias=True) + ) + ) + (extractor): Extractor( + (query_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=768, out_features=96, bias=True) + (attention_weights): Linear(in_features=768, out_features=48, bias=True) + (value_proj): Linear(in_features=768, out_features=384, bias=True) + (output_proj): Linear(in_features=384, out_features=768, bias=True) + ) + (ffn): ConvFFN( + (fc1): Linear(in_features=768, out_features=192, bias=True) + (dwconv): DWConv( + (dwconv): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=192) + ) + (act): GELU() + (fc2): Linear(in_features=192, out_features=768, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + (ffn_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (drop_path): DropPath() + ) + (extra_extractors): Sequential( + (0): Extractor( + (query_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=768, out_features=96, bias=True) + (attention_weights): Linear(in_features=768, out_features=48, bias=True) + (value_proj): Linear(in_features=768, out_features=384, bias=True) + (output_proj): Linear(in_features=384, out_features=768, bias=True) + ) + (ffn): ConvFFN( + (fc1): Linear(in_features=768, out_features=192, bias=True) + (dwconv): DWConv( + (dwconv): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=192) + ) + (act): GELU() + (fc2): Linear(in_features=192, out_features=768, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + (ffn_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (drop_path): Identity() + ) + (1): Extractor( + (query_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (feat_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (attn): MSDeformAttn( + (sampling_offsets): Linear(in_features=768, out_features=96, bias=True) + (attention_weights): Linear(in_features=768, out_features=48, bias=True) + (value_proj): Linear(in_features=768, out_features=384, bias=True) + (output_proj): Linear(in_features=384, out_features=768, bias=True) + ) + (ffn): ConvFFN( + (fc1): Linear(in_features=768, out_features=192, bias=True) + (dwconv): DWConv( + (dwconv): Conv2d(192, 192, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=192) + ) + (act): GELU() + (fc2): Linear(in_features=192, out_features=768, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + (ffn_norm): LayerNorm((768,), eps=1e-06, elementwise_affine=True) + (drop_path): Identity() + ) + ) + ) + ) + (up): ConvTranspose2d(768, 768, kernel_size=(2, 2), stride=(2, 2)) + (norm1): SyncBatchNorm(768, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (norm2): SyncBatchNorm(768, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (norm3): SyncBatchNorm(768, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True) + (norm4): SyncBatchNorm(768, 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(768, 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(768, 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(768, 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(768, 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(2816, 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(768, 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(768, 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(768, 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(768, 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'}} +) +2022-06-19 01:11:39,767 - mmseg - INFO - Loaded 20210 images +2022-06-19 01:11:40,503 - mmseg - INFO - Loaded 2000 images +2022-06-19 01:11:40,503 - mmseg - INFO - Start running, host: chenzhe.vendor@SH-IDC1-10-140-1-137, work_dir: /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_deit_adapter_base_512_160k_ade20k +2022-06-19 01:11:40,503 - 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 + -------------------- +2022-06-19 01:11:40,503 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters +2022-06-19 01:11:40,503 - mmseg - INFO - Checkpoints will be saved to /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_deit_adapter_base_512_160k_ade20k by HardDiskBackend. +2022-06-19 01:12:59,581 - mmseg - INFO - Iter [50/160000] lr: 1.006e-06, eta: 1 day, 7:34:35, time: 0.711, data_time: 0.005, memory: 56924, decode.loss_ce: 4.1100, decode.acc_seg: 0.4641, aux.loss_ce: 1.6398, aux.acc_seg: 0.6448, loss: 5.7498 +2022-06-19 01:13:13,044 - mmseg - INFO - Iter [100/160000] lr: 2.032e-06, eta: 21:45:29, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 3.9586, decode.acc_seg: 3.5456, aux.loss_ce: 1.5989, aux.acc_seg: 1.2899, loss: 5.5576 +2022-06-19 01:13:26,630 - mmseg - INFO - Iter [150/160000] lr: 3.057e-06, eta: 18:31:11, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 3.7702, decode.acc_seg: 18.0379, aux.loss_ce: 1.5689, aux.acc_seg: 4.3696, loss: 5.3391 +2022-06-19 01:13:40,353 - mmseg - INFO - Iter [200/160000] lr: 4.081e-06, eta: 16:55:54, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 3.5342, decode.acc_seg: 30.8949, aux.loss_ce: 1.5597, aux.acc_seg: 13.8409, loss: 5.0939 +2022-06-19 01:13:53,957 - mmseg - INFO - Iter [250/160000] lr: 5.105e-06, eta: 15:57:35, time: 0.273, data_time: 0.005, memory: 56924, decode.loss_ce: 3.2503, decode.acc_seg: 37.9265, aux.loss_ce: 1.5427, aux.acc_seg: 28.9342, loss: 4.7930 +2022-06-19 01:14:07,752 - mmseg - INFO - Iter [300/160000] lr: 6.128e-06, eta: 15:19:58, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 2.9851, decode.acc_seg: 38.4093, aux.loss_ce: 1.4741, aux.acc_seg: 34.6465, loss: 4.4592 +2022-06-19 01:14:21,626 - mmseg - INFO - Iter [350/160000] lr: 7.151e-06, eta: 14:53:53, time: 0.278, data_time: 0.004, memory: 56924, decode.loss_ce: 2.7140, decode.acc_seg: 40.7061, aux.loss_ce: 1.3977, aux.acc_seg: 37.6316, loss: 4.1118 +2022-06-19 01:14:35,048 - mmseg - INFO - Iter [400/160000] lr: 8.173e-06, eta: 14:31:09, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 2.5788, decode.acc_seg: 40.9046, aux.loss_ce: 1.3512, aux.acc_seg: 37.2456, loss: 3.9300 +2022-06-19 01:14:48,881 - mmseg - INFO - Iter [450/160000] lr: 9.194e-06, eta: 14:15:52, time: 0.277, data_time: 0.004, memory: 56924, decode.loss_ce: 2.4353, decode.acc_seg: 43.0788, aux.loss_ce: 1.3018, aux.acc_seg: 38.8245, loss: 3.7371 +2022-06-19 01:15:02,397 - mmseg - INFO - Iter [500/160000] lr: 1.021e-05, eta: 14:01:53, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 2.2793, decode.acc_seg: 44.5305, aux.loss_ce: 1.2455, aux.acc_seg: 40.2336, loss: 3.5248 +2022-06-19 01:15:15,874 - mmseg - INFO - Iter [550/160000] lr: 1.123e-05, eta: 13:50:14, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 2.1224, decode.acc_seg: 45.3118, aux.loss_ce: 1.1835, aux.acc_seg: 40.4072, loss: 3.3059 +2022-06-19 01:15:29,504 - mmseg - INFO - Iter [600/160000] lr: 1.225e-05, eta: 13:41:10, time: 0.273, data_time: 0.003, memory: 56924, decode.loss_ce: 1.9929, decode.acc_seg: 47.0503, aux.loss_ce: 1.1358, aux.acc_seg: 42.2863, loss: 3.1287 +2022-06-19 01:15:42,941 - mmseg - INFO - Iter [650/160000] lr: 1.327e-05, eta: 13:32:39, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 1.8815, decode.acc_seg: 46.1165, aux.loss_ce: 1.0703, aux.acc_seg: 41.4393, loss: 2.9518 +2022-06-19 01:15:56,646 - mmseg - INFO - Iter [700/160000] lr: 1.429e-05, eta: 13:26:21, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 1.8163, decode.acc_seg: 48.7088, aux.loss_ce: 1.0530, aux.acc_seg: 43.2563, loss: 2.8693 +2022-06-19 01:16:10,126 - mmseg - INFO - Iter [750/160000] lr: 1.531e-05, eta: 13:20:02, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 1.7151, decode.acc_seg: 49.2603, aux.loss_ce: 0.9970, aux.acc_seg: 44.2795, loss: 2.7121 +2022-06-19 01:16:23,581 - mmseg - INFO - Iter [800/160000] lr: 1.632e-05, eta: 13:14:23, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 1.6499, decode.acc_seg: 47.7255, aux.loss_ce: 0.9423, aux.acc_seg: 42.4066, loss: 2.5922 +2022-06-19 01:16:37,211 - mmseg - INFO - Iter [850/160000] lr: 1.734e-05, eta: 13:10:01, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 1.7204, decode.acc_seg: 47.9278, aux.loss_ce: 0.9544, aux.acc_seg: 43.5351, loss: 2.6748 +2022-06-19 01:16:50,615 - mmseg - INFO - Iter [900/160000] lr: 1.836e-05, eta: 13:05:22, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 1.5751, decode.acc_seg: 49.4811, aux.loss_ce: 0.8891, aux.acc_seg: 44.0970, loss: 2.4642 +2022-06-19 01:17:04,245 - mmseg - INFO - Iter [950/160000] lr: 1.937e-05, eta: 13:01:47, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 1.5750, decode.acc_seg: 49.5250, aux.loss_ce: 0.8730, aux.acc_seg: 44.5828, loss: 2.4480 +2022-06-19 01:17:17,578 - mmseg - INFO - Saving checkpoint at 1000 iterations +2022-06-19 01:17:20,511 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 01:17:20,511 - mmseg - INFO - Iter [1000/160000] lr: 2.039e-05, eta: 13:05:37, time: 0.326, data_time: 0.004, memory: 56924, decode.loss_ce: 1.4326, decode.acc_seg: 49.3156, aux.loss_ce: 0.8022, aux.acc_seg: 43.8051, loss: 2.2347 +2022-06-19 01:17:34,155 - mmseg - INFO - Iter [1050/160000] lr: 2.140e-05, eta: 13:02:21, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 1.4426, decode.acc_seg: 48.4286, aux.loss_ce: 0.7818, aux.acc_seg: 43.7947, loss: 2.2244 +2022-06-19 01:17:47,283 - mmseg - INFO - Iter [1100/160000] lr: 2.241e-05, eta: 12:58:12, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 1.4394, decode.acc_seg: 50.2879, aux.loss_ce: 0.7775, aux.acc_seg: 45.1733, loss: 2.2169 +2022-06-19 01:18:01,032 - mmseg - INFO - Iter [1150/160000] lr: 2.342e-05, eta: 12:55:46, time: 0.275, data_time: 0.003, memory: 56924, decode.loss_ce: 1.4209, decode.acc_seg: 50.8221, aux.loss_ce: 0.7588, aux.acc_seg: 45.6972, loss: 2.1798 +2022-06-19 01:18:14,737 - mmseg - INFO - Iter [1200/160000] lr: 2.444e-05, eta: 12:53:25, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 1.3002, decode.acc_seg: 50.7035, aux.loss_ce: 0.6974, aux.acc_seg: 45.0825, loss: 1.9976 +2022-06-19 01:18:28,425 - mmseg - INFO - Iter [1250/160000] lr: 2.545e-05, eta: 12:51:15, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 1.2585, decode.acc_seg: 51.4411, aux.loss_ce: 0.6669, aux.acc_seg: 46.3155, loss: 1.9254 +2022-06-19 01:18:44,455 - mmseg - INFO - Iter [1300/160000] lr: 2.646e-05, eta: 12:53:56, time: 0.320, data_time: 0.049, memory: 56924, decode.loss_ce: 1.2758, decode.acc_seg: 51.7899, aux.loss_ce: 0.6691, aux.acc_seg: 47.2559, loss: 1.9449 +2022-06-19 01:18:58,094 - mmseg - INFO - Iter [1350/160000] lr: 2.747e-05, eta: 12:51:46, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 1.2416, decode.acc_seg: 51.8888, aux.loss_ce: 0.6488, aux.acc_seg: 46.7818, loss: 1.8904 +2022-06-19 01:19:11,751 - mmseg - INFO - Iter [1400/160000] lr: 2.848e-05, eta: 12:49:46, time: 0.273, data_time: 0.003, memory: 56924, decode.loss_ce: 1.2167, decode.acc_seg: 53.3670, aux.loss_ce: 0.6394, aux.acc_seg: 48.2509, loss: 1.8561 +2022-06-19 01:19:25,263 - mmseg - INFO - Iter [1450/160000] lr: 2.948e-05, eta: 12:47:37, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 1.1593, decode.acc_seg: 53.5963, aux.loss_ce: 0.6069, aux.acc_seg: 48.1668, loss: 1.7662 +2022-06-19 01:19:38,844 - mmseg - INFO - Iter [1500/160000] lr: 3.049e-05, eta: 12:45:42, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 1.2434, decode.acc_seg: 51.1276, aux.loss_ce: 0.6184, aux.acc_seg: 46.9913, loss: 1.8618 +2022-06-19 01:19:52,445 - mmseg - INFO - Iter [1550/160000] lr: 3.050e-05, eta: 12:43:56, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 1.1607, decode.acc_seg: 51.5361, aux.loss_ce: 0.5856, aux.acc_seg: 48.2763, loss: 1.7463 +2022-06-19 01:20:06,251 - mmseg - INFO - Iter [1600/160000] lr: 3.049e-05, eta: 12:42:34, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 1.2217, decode.acc_seg: 53.1789, aux.loss_ce: 0.6102, aux.acc_seg: 49.1244, loss: 1.8319 +2022-06-19 01:20:19,649 - mmseg - INFO - Iter [1650/160000] lr: 3.048e-05, eta: 12:40:42, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 1.1848, decode.acc_seg: 52.0226, aux.loss_ce: 0.5927, aux.acc_seg: 48.4080, loss: 1.7775 +2022-06-19 01:20:33,326 - mmseg - INFO - Iter [1700/160000] lr: 3.047e-05, eta: 12:39:16, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 1.1854, decode.acc_seg: 53.5772, aux.loss_ce: 0.5923, aux.acc_seg: 49.6480, loss: 1.7776 +2022-06-19 01:20:46,775 - mmseg - INFO - Iter [1750/160000] lr: 3.046e-05, eta: 12:37:40, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 1.1887, decode.acc_seg: 54.4368, aux.loss_ce: 0.5917, aux.acc_seg: 51.5002, loss: 1.7803 +2022-06-19 01:21:00,351 - mmseg - INFO - Iter [1800/160000] lr: 3.045e-05, eta: 12:36:16, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 1.0702, decode.acc_seg: 54.6531, aux.loss_ce: 0.5403, aux.acc_seg: 51.8626, loss: 1.6105 +2022-06-19 01:21:13,714 - mmseg - INFO - Iter [1850/160000] lr: 3.044e-05, eta: 12:34:38, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 1.1203, decode.acc_seg: 53.6595, aux.loss_ce: 0.5618, aux.acc_seg: 50.1596, loss: 1.6821 +2022-06-19 01:21:27,406 - mmseg - INFO - Iter [1900/160000] lr: 3.043e-05, eta: 12:33:32, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 1.1380, decode.acc_seg: 54.2213, aux.loss_ce: 0.5608, aux.acc_seg: 50.8615, loss: 1.6988 +2022-06-19 01:21:40,803 - mmseg - INFO - Iter [1950/160000] lr: 3.043e-05, eta: 12:32:04, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 1.1061, decode.acc_seg: 53.0847, aux.loss_ce: 0.5442, aux.acc_seg: 50.2660, loss: 1.6504 +2022-06-19 01:21:54,209 - mmseg - INFO - Saving checkpoint at 2000 iterations +2022-06-19 01:21:57,356 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 01:21:57,356 - mmseg - INFO - Iter [2000/160000] lr: 3.042e-05, eta: 12:34:50, time: 0.331, data_time: 0.004, memory: 56924, decode.loss_ce: 1.1307, decode.acc_seg: 53.4646, aux.loss_ce: 0.5458, aux.acc_seg: 51.0740, loss: 1.6765 +2022-06-19 01:22:10,758 - mmseg - INFO - Iter [2050/160000] lr: 3.041e-05, eta: 12:33:23, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 1.0465, decode.acc_seg: 54.2150, aux.loss_ce: 0.5126, aux.acc_seg: 51.7399, loss: 1.5591 +2022-06-19 01:22:24,366 - mmseg - INFO - Iter [2100/160000] lr: 3.040e-05, eta: 12:32:17, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 1.0767, decode.acc_seg: 53.1444, aux.loss_ce: 0.5306, aux.acc_seg: 50.8512, loss: 1.6073 +2022-06-19 01:22:38,013 - mmseg - INFO - Iter [2150/160000] lr: 3.039e-05, eta: 12:31:15, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 1.0586, decode.acc_seg: 55.6041, aux.loss_ce: 0.5186, aux.acc_seg: 52.7922, loss: 1.5773 +2022-06-19 01:22:51,527 - mmseg - INFO - Iter [2200/160000] lr: 3.038e-05, eta: 12:30:06, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 1.0359, decode.acc_seg: 55.3098, aux.loss_ce: 0.5169, aux.acc_seg: 51.8528, loss: 1.5529 +2022-06-19 01:23:05,203 - mmseg - INFO - Iter [2250/160000] lr: 3.037e-05, eta: 12:29:11, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 1.0365, decode.acc_seg: 56.1550, aux.loss_ce: 0.5068, aux.acc_seg: 53.8503, loss: 1.5433 +2022-06-19 01:23:18,726 - mmseg - INFO - Iter [2300/160000] lr: 3.036e-05, eta: 12:28:06, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 1.0749, decode.acc_seg: 55.1283, aux.loss_ce: 0.5172, aux.acc_seg: 53.1373, loss: 1.5920 +2022-06-19 01:23:32,437 - mmseg - INFO - Iter [2350/160000] lr: 3.035e-05, eta: 12:27:18, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.9494, decode.acc_seg: 56.9972, aux.loss_ce: 0.4741, aux.acc_seg: 53.9379, loss: 1.4235 +2022-06-19 01:23:46,140 - mmseg - INFO - Iter [2400/160000] lr: 3.034e-05, eta: 12:26:28, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 1.0100, decode.acc_seg: 56.1008, aux.loss_ce: 0.4976, aux.acc_seg: 53.2273, loss: 1.5077 +2022-06-19 01:23:59,484 - mmseg - INFO - Iter [2450/160000] lr: 3.033e-05, eta: 12:25:19, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.9516, decode.acc_seg: 55.2752, aux.loss_ce: 0.4678, aux.acc_seg: 52.4802, loss: 1.4193 +2022-06-19 01:24:13,053 - mmseg - INFO - Iter [2500/160000] lr: 3.032e-05, eta: 12:24:26, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 1.0275, decode.acc_seg: 54.7523, aux.loss_ce: 0.4981, aux.acc_seg: 51.8090, loss: 1.5256 +2022-06-19 01:24:28,663 - mmseg - INFO - Iter [2550/160000] lr: 3.031e-05, eta: 12:25:40, time: 0.312, data_time: 0.048, memory: 56924, decode.loss_ce: 0.9524, decode.acc_seg: 56.1672, aux.loss_ce: 0.4654, aux.acc_seg: 53.6215, loss: 1.4178 +2022-06-19 01:24:42,274 - mmseg - INFO - Iter [2600/160000] lr: 3.030e-05, eta: 12:24:48, time: 0.272, data_time: 0.003, memory: 56924, decode.loss_ce: 0.9769, decode.acc_seg: 53.7661, aux.loss_ce: 0.4727, aux.acc_seg: 51.6969, loss: 1.4496 +2022-06-19 01:24:55,998 - mmseg - INFO - Iter [2650/160000] lr: 3.029e-05, eta: 12:24:06, time: 0.275, data_time: 0.005, memory: 56924, decode.loss_ce: 0.9218, decode.acc_seg: 57.9568, aux.loss_ce: 0.4527, aux.acc_seg: 55.3992, loss: 1.3745 +2022-06-19 01:25:09,704 - mmseg - INFO - Iter [2700/160000] lr: 3.028e-05, eta: 12:23:24, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.9165, decode.acc_seg: 56.7905, aux.loss_ce: 0.4549, aux.acc_seg: 53.3549, loss: 1.3714 +2022-06-19 01:25:23,198 - mmseg - INFO - Iter [2750/160000] lr: 3.027e-05, eta: 12:22:32, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.9129, decode.acc_seg: 58.0055, aux.loss_ce: 0.4583, aux.acc_seg: 55.0411, loss: 1.3712 +2022-06-19 01:25:36,668 - mmseg - INFO - Iter [2800/160000] lr: 3.026e-05, eta: 12:21:39, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.9908, decode.acc_seg: 55.1133, aux.loss_ce: 0.4789, aux.acc_seg: 52.4936, loss: 1.4697 +2022-06-19 01:25:49,949 - mmseg - INFO - Iter [2850/160000] lr: 3.025e-05, eta: 12:20:36, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.9290, decode.acc_seg: 55.9974, aux.loss_ce: 0.4497, aux.acc_seg: 54.0809, loss: 1.3787 +2022-06-19 01:26:03,334 - mmseg - INFO - Iter [2900/160000] lr: 3.024e-05, eta: 12:19:41, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.9177, decode.acc_seg: 54.8736, aux.loss_ce: 0.4466, aux.acc_seg: 52.1141, loss: 1.3642 +2022-06-19 01:26:16,972 - mmseg - INFO - Iter [2950/160000] lr: 3.023e-05, eta: 12:19:01, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8605, decode.acc_seg: 57.1825, aux.loss_ce: 0.4242, aux.acc_seg: 54.7006, loss: 1.2847 +2022-06-19 01:26:30,590 - mmseg - INFO - Saving checkpoint at 3000 iterations +2022-06-19 01:26:33,510 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 01:26:33,510 - mmseg - INFO - Iter [3000/160000] lr: 3.022e-05, eta: 12:20:54, time: 0.331, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8963, decode.acc_seg: 57.1943, aux.loss_ce: 0.4357, aux.acc_seg: 54.9522, loss: 1.3320 +2022-06-19 01:26:47,116 - mmseg - INFO - Iter [3050/160000] lr: 3.021e-05, eta: 12:20:11, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.9249, decode.acc_seg: 56.9114, aux.loss_ce: 0.4491, aux.acc_seg: 53.8946, loss: 1.3740 +2022-06-19 01:27:00,622 - mmseg - INFO - Iter [3100/160000] lr: 3.020e-05, eta: 12:19:25, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.9210, decode.acc_seg: 56.6775, aux.loss_ce: 0.4435, aux.acc_seg: 54.4728, loss: 1.3645 +2022-06-19 01:27:14,118 - mmseg - INFO - Iter [3150/160000] lr: 3.019e-05, eta: 12:18:38, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8818, decode.acc_seg: 57.1014, aux.loss_ce: 0.4251, aux.acc_seg: 54.6005, loss: 1.3069 +2022-06-19 01:27:27,724 - mmseg - INFO - Iter [3200/160000] lr: 3.018e-05, eta: 12:17:59, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8424, decode.acc_seg: 57.3647, aux.loss_ce: 0.4139, aux.acc_seg: 54.3581, loss: 1.2563 +2022-06-19 01:27:41,468 - mmseg - INFO - Iter [3250/160000] lr: 3.018e-05, eta: 12:17:26, time: 0.275, data_time: 0.003, memory: 56924, decode.loss_ce: 0.8516, decode.acc_seg: 56.9601, aux.loss_ce: 0.4140, aux.acc_seg: 54.5189, loss: 1.2656 +2022-06-19 01:27:55,105 - mmseg - INFO - Iter [3300/160000] lr: 3.017e-05, eta: 12:16:49, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8726, decode.acc_seg: 57.9680, aux.loss_ce: 0.4260, aux.acc_seg: 55.2929, loss: 1.2987 +2022-06-19 01:28:08,895 - mmseg - INFO - Iter [3350/160000] lr: 3.016e-05, eta: 12:16:20, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8611, decode.acc_seg: 57.0567, aux.loss_ce: 0.4248, aux.acc_seg: 53.8971, loss: 1.2860 +2022-06-19 01:28:22,482 - mmseg - INFO - Iter [3400/160000] lr: 3.015e-05, eta: 12:15:43, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8366, decode.acc_seg: 58.8663, aux.loss_ce: 0.4056, aux.acc_seg: 56.3456, loss: 1.2422 +2022-06-19 01:28:36,283 - mmseg - INFO - Iter [3450/160000] lr: 3.014e-05, eta: 12:15:16, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8950, decode.acc_seg: 57.5586, aux.loss_ce: 0.4303, aux.acc_seg: 54.8704, loss: 1.3253 +2022-06-19 01:28:49,644 - mmseg - INFO - Iter [3500/160000] lr: 3.013e-05, eta: 12:14:29, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.8959, decode.acc_seg: 57.2329, aux.loss_ce: 0.4281, aux.acc_seg: 54.7547, loss: 1.3240 +2022-06-19 01:29:03,303 - mmseg - INFO - Iter [3550/160000] lr: 3.012e-05, eta: 12:13:56, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8649, decode.acc_seg: 56.8082, aux.loss_ce: 0.4110, aux.acc_seg: 54.4750, loss: 1.2759 +2022-06-19 01:29:16,899 - mmseg - INFO - Iter [3600/160000] lr: 3.011e-05, eta: 12:13:21, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8639, decode.acc_seg: 57.8025, aux.loss_ce: 0.4212, aux.acc_seg: 54.7866, loss: 1.2852 +2022-06-19 01:29:30,272 - mmseg - INFO - Iter [3650/160000] lr: 3.010e-05, eta: 12:12:38, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.9115, decode.acc_seg: 55.9783, aux.loss_ce: 0.4252, aux.acc_seg: 54.0256, loss: 1.3367 +2022-06-19 01:29:44,057 - mmseg - INFO - Iter [3700/160000] lr: 3.009e-05, eta: 12:12:12, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8663, decode.acc_seg: 58.6592, aux.loss_ce: 0.4201, aux.acc_seg: 56.1103, loss: 1.2864 +2022-06-19 01:29:57,740 - mmseg - INFO - Iter [3750/160000] lr: 3.008e-05, eta: 12:11:42, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8421, decode.acc_seg: 58.5448, aux.loss_ce: 0.4063, aux.acc_seg: 56.0900, loss: 1.2483 +2022-06-19 01:30:14,194 - mmseg - INFO - Iter [3800/160000] lr: 3.007e-05, eta: 12:13:07, time: 0.329, data_time: 0.055, memory: 56924, decode.loss_ce: 0.8091, decode.acc_seg: 58.4694, aux.loss_ce: 0.3932, aux.acc_seg: 55.5189, loss: 1.2023 +2022-06-19 01:30:27,624 - mmseg - INFO - Iter [3850/160000] lr: 3.006e-05, eta: 12:12:26, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8186, decode.acc_seg: 57.1654, aux.loss_ce: 0.3935, aux.acc_seg: 54.4541, loss: 1.2121 +2022-06-19 01:30:41,243 - mmseg - INFO - Iter [3900/160000] lr: 3.005e-05, eta: 12:11:55, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8310, decode.acc_seg: 58.9402, aux.loss_ce: 0.3953, aux.acc_seg: 56.5465, loss: 1.2262 +2022-06-19 01:30:54,853 - mmseg - INFO - Iter [3950/160000] lr: 3.004e-05, eta: 12:11:22, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8332, decode.acc_seg: 58.2524, aux.loss_ce: 0.3969, aux.acc_seg: 55.6249, loss: 1.2301 +2022-06-19 01:31:08,388 - mmseg - INFO - Saving checkpoint at 4000 iterations +2022-06-19 01:31:11,249 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 01:31:11,251 - mmseg - INFO - Iter [4000/160000] lr: 3.003e-05, eta: 12:12:40, time: 0.328, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8139, decode.acc_seg: 59.1702, aux.loss_ce: 0.3889, aux.acc_seg: 56.7406, loss: 1.2028 +2022-06-19 01:31:24,889 - mmseg - INFO - Iter [4050/160000] lr: 3.002e-05, eta: 12:12:07, time: 0.272, data_time: 0.003, memory: 56924, decode.loss_ce: 0.8257, decode.acc_seg: 57.8858, aux.loss_ce: 0.3953, aux.acc_seg: 55.3038, loss: 1.2210 +2022-06-19 01:31:38,244 - mmseg - INFO - Iter [4100/160000] lr: 3.001e-05, eta: 12:11:26, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7862, decode.acc_seg: 59.5180, aux.loss_ce: 0.3789, aux.acc_seg: 56.5008, loss: 1.1650 +2022-06-19 01:31:51,802 - mmseg - INFO - Iter [4150/160000] lr: 3.000e-05, eta: 12:10:53, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 0.8039, decode.acc_seg: 58.3618, aux.loss_ce: 0.3847, aux.acc_seg: 56.2526, loss: 1.1886 +2022-06-19 01:32:05,422 - mmseg - INFO - Iter [4200/160000] lr: 2.999e-05, eta: 12:10:22, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7976, decode.acc_seg: 58.3229, aux.loss_ce: 0.3752, aux.acc_seg: 56.1401, loss: 1.1728 +2022-06-19 01:32:18,891 - mmseg - INFO - Iter [4250/160000] lr: 2.998e-05, eta: 12:09:46, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8295, decode.acc_seg: 59.2438, aux.loss_ce: 0.3897, aux.acc_seg: 57.0255, loss: 1.2192 +2022-06-19 01:32:32,238 - mmseg - INFO - Iter [4300/160000] lr: 2.997e-05, eta: 12:09:06, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.7867, decode.acc_seg: 60.4028, aux.loss_ce: 0.3780, aux.acc_seg: 57.9268, loss: 1.1647 +2022-06-19 01:32:45,789 - mmseg - INFO - Iter [4350/160000] lr: 2.996e-05, eta: 12:08:34, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7749, decode.acc_seg: 60.1505, aux.loss_ce: 0.3735, aux.acc_seg: 57.4908, loss: 1.1484 +2022-06-19 01:32:59,110 - mmseg - INFO - Iter [4400/160000] lr: 2.995e-05, eta: 12:07:55, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7795, decode.acc_seg: 58.4560, aux.loss_ce: 0.3683, aux.acc_seg: 56.1946, loss: 1.1479 +2022-06-19 01:33:12,894 - mmseg - INFO - Iter [4450/160000] lr: 2.994e-05, eta: 12:07:31, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7971, decode.acc_seg: 59.4688, aux.loss_ce: 0.3742, aux.acc_seg: 57.3875, loss: 1.1713 +2022-06-19 01:33:26,314 - mmseg - INFO - Iter [4500/160000] lr: 2.993e-05, eta: 12:06:57, time: 0.269, data_time: 0.005, memory: 56924, decode.loss_ce: 0.7739, decode.acc_seg: 59.3623, aux.loss_ce: 0.3668, aux.acc_seg: 57.2958, loss: 1.1407 +2022-06-19 01:33:39,722 - mmseg - INFO - Iter [4550/160000] lr: 2.992e-05, eta: 12:06:22, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8102, decode.acc_seg: 58.3770, aux.loss_ce: 0.3803, aux.acc_seg: 56.1893, loss: 1.1905 +2022-06-19 01:33:53,085 - mmseg - INFO - Iter [4600/160000] lr: 2.992e-05, eta: 12:05:46, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7898, decode.acc_seg: 59.6284, aux.loss_ce: 0.3727, aux.acc_seg: 57.2957, loss: 1.1625 +2022-06-19 01:34:06,686 - mmseg - INFO - Iter [4650/160000] lr: 2.991e-05, eta: 12:05:18, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7883, decode.acc_seg: 60.3346, aux.loss_ce: 0.3725, aux.acc_seg: 57.8505, loss: 1.1608 +2022-06-19 01:34:19,981 - mmseg - INFO - Iter [4700/160000] lr: 2.990e-05, eta: 12:04:40, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.8340, decode.acc_seg: 58.1952, aux.loss_ce: 0.3898, aux.acc_seg: 56.5282, loss: 1.2238 +2022-06-19 01:34:33,618 - mmseg - INFO - Iter [4750/160000] lr: 2.989e-05, eta: 12:04:14, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8260, decode.acc_seg: 58.2434, aux.loss_ce: 0.3804, aux.acc_seg: 56.4546, loss: 1.2064 +2022-06-19 01:34:46,951 - mmseg - INFO - Iter [4800/160000] lr: 2.988e-05, eta: 12:03:39, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8320, decode.acc_seg: 55.9009, aux.loss_ce: 0.3840, aux.acc_seg: 53.6774, loss: 1.2160 +2022-06-19 01:35:00,454 - mmseg - INFO - Iter [4850/160000] lr: 2.987e-05, eta: 12:03:10, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.7805, decode.acc_seg: 58.3688, aux.loss_ce: 0.3605, aux.acc_seg: 56.6547, loss: 1.1410 +2022-06-19 01:35:13,929 - mmseg - INFO - Iter [4900/160000] lr: 2.986e-05, eta: 12:02:40, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7292, decode.acc_seg: 58.9487, aux.loss_ce: 0.3411, aux.acc_seg: 56.4697, loss: 1.0704 +2022-06-19 01:35:27,575 - mmseg - INFO - Iter [4950/160000] lr: 2.985e-05, eta: 12:02:15, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8129, decode.acc_seg: 58.6062, aux.loss_ce: 0.3738, aux.acc_seg: 56.4905, loss: 1.1867 +2022-06-19 01:35:41,164 - mmseg - INFO - Saving checkpoint at 5000 iterations +2022-06-19 01:35:44,094 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 01:35:44,094 - mmseg - INFO - Iter [5000/160000] lr: 2.984e-05, eta: 12:03:20, time: 0.331, data_time: 0.004, memory: 56924, decode.loss_ce: 0.8222, decode.acc_seg: 57.1893, aux.loss_ce: 0.3851, aux.acc_seg: 54.5482, loss: 1.2073 +2022-06-19 01:35:57,496 - mmseg - INFO - Iter [5050/160000] lr: 2.983e-05, eta: 12:02:48, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7823, decode.acc_seg: 59.4011, aux.loss_ce: 0.3655, aux.acc_seg: 57.3211, loss: 1.1478 +2022-06-19 01:36:13,473 - mmseg - INFO - Iter [5100/160000] lr: 2.982e-05, eta: 12:03:34, time: 0.320, data_time: 0.049, memory: 56924, decode.loss_ce: 0.7559, decode.acc_seg: 59.4850, aux.loss_ce: 0.3537, aux.acc_seg: 57.5361, loss: 1.1096 +2022-06-19 01:36:26,925 - mmseg - INFO - Iter [5150/160000] lr: 2.981e-05, eta: 12:03:03, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7634, decode.acc_seg: 59.6970, aux.loss_ce: 0.3593, aux.acc_seg: 57.4055, loss: 1.1227 +2022-06-19 01:36:40,319 - mmseg - INFO - Iter [5200/160000] lr: 2.980e-05, eta: 12:02:31, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.7446, decode.acc_seg: 60.5771, aux.loss_ce: 0.3519, aux.acc_seg: 58.2175, loss: 1.0965 +2022-06-19 01:36:53,861 - mmseg - INFO - Iter [5250/160000] lr: 2.979e-05, eta: 12:02:03, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7303, decode.acc_seg: 61.2236, aux.loss_ce: 0.3412, aux.acc_seg: 59.4084, loss: 1.0716 +2022-06-19 01:37:07,330 - mmseg - INFO - Iter [5300/160000] lr: 2.978e-05, eta: 12:01:34, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7400, decode.acc_seg: 58.9941, aux.loss_ce: 0.3422, aux.acc_seg: 57.2884, loss: 1.0822 +2022-06-19 01:37:20,706 - mmseg - INFO - Iter [5350/160000] lr: 2.977e-05, eta: 12:01:01, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.7462, decode.acc_seg: 60.6707, aux.loss_ce: 0.3440, aux.acc_seg: 58.9368, loss: 1.0903 +2022-06-19 01:37:34,290 - mmseg - INFO - Iter [5400/160000] lr: 2.976e-05, eta: 12:00:36, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7485, decode.acc_seg: 57.7627, aux.loss_ce: 0.3422, aux.acc_seg: 56.0456, loss: 1.0906 +2022-06-19 01:37:48,040 - mmseg - INFO - Iter [5450/160000] lr: 2.975e-05, eta: 12:00:15, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7249, decode.acc_seg: 60.7646, aux.loss_ce: 0.3427, aux.acc_seg: 58.4698, loss: 1.0676 +2022-06-19 01:38:01,585 - mmseg - INFO - Iter [5500/160000] lr: 2.974e-05, eta: 11:59:49, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7379, decode.acc_seg: 60.7575, aux.loss_ce: 0.3478, aux.acc_seg: 58.4029, loss: 1.0857 +2022-06-19 01:38:15,428 - mmseg - INFO - Iter [5550/160000] lr: 2.973e-05, eta: 11:59:31, time: 0.277, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7196, decode.acc_seg: 60.3179, aux.loss_ce: 0.3357, aux.acc_seg: 58.2260, loss: 1.0553 +2022-06-19 01:38:29,200 - mmseg - INFO - Iter [5600/160000] lr: 2.972e-05, eta: 11:59:12, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7858, decode.acc_seg: 58.3457, aux.loss_ce: 0.3588, aux.acc_seg: 56.3793, loss: 1.1446 +2022-06-19 01:38:42,837 - mmseg - INFO - Iter [5650/160000] lr: 2.971e-05, eta: 11:58:48, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7568, decode.acc_seg: 58.5453, aux.loss_ce: 0.3503, aux.acc_seg: 56.8836, loss: 1.1071 +2022-06-19 01:38:56,339 - mmseg - INFO - Iter [5700/160000] lr: 2.970e-05, eta: 11:58:22, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7255, decode.acc_seg: 59.7382, aux.loss_ce: 0.3397, aux.acc_seg: 57.6334, loss: 1.0652 +2022-06-19 01:39:09,819 - mmseg - INFO - Iter [5750/160000] lr: 2.969e-05, eta: 11:57:55, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7720, decode.acc_seg: 58.6608, aux.loss_ce: 0.3498, aux.acc_seg: 56.8205, loss: 1.1218 +2022-06-19 01:39:23,304 - mmseg - INFO - Iter [5800/160000] lr: 2.968e-05, eta: 11:57:29, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.7452, decode.acc_seg: 61.1859, aux.loss_ce: 0.3402, aux.acc_seg: 59.4529, loss: 1.0854 +2022-06-19 01:39:37,064 - mmseg - INFO - Iter [5850/160000] lr: 2.967e-05, eta: 11:57:09, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7106, decode.acc_seg: 61.3128, aux.loss_ce: 0.3297, aux.acc_seg: 59.2519, loss: 1.0403 +2022-06-19 01:39:50,604 - mmseg - INFO - Iter [5900/160000] lr: 2.966e-05, eta: 11:56:44, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7447, decode.acc_seg: 61.0784, aux.loss_ce: 0.3420, aux.acc_seg: 58.7804, loss: 1.0866 +2022-06-19 01:40:04,173 - mmseg - INFO - Iter [5950/160000] lr: 2.966e-05, eta: 11:56:20, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7210, decode.acc_seg: 60.5953, aux.loss_ce: 0.3314, aux.acc_seg: 58.5722, loss: 1.0523 +2022-06-19 01:40:17,818 - mmseg - INFO - Saving checkpoint at 6000 iterations +2022-06-19 01:40:20,703 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 01:40:20,704 - mmseg - INFO - Iter [6000/160000] lr: 2.965e-05, eta: 11:57:13, time: 0.331, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7737, decode.acc_seg: 60.8196, aux.loss_ce: 0.3513, aux.acc_seg: 59.1804, loss: 1.1249 +2022-06-19 01:40:34,238 - mmseg - INFO - Iter [6050/160000] lr: 2.964e-05, eta: 11:56:48, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7097, decode.acc_seg: 61.4639, aux.loss_ce: 0.3219, aux.acc_seg: 59.9771, loss: 1.0316 +2022-06-19 01:40:47,788 - mmseg - INFO - Iter [6100/160000] lr: 2.963e-05, eta: 11:56:23, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7491, decode.acc_seg: 59.8308, aux.loss_ce: 0.3386, aux.acc_seg: 58.3819, loss: 1.0876 +2022-06-19 01:41:01,327 - mmseg - INFO - Iter [6150/160000] lr: 2.962e-05, eta: 11:55:58, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 0.6613, decode.acc_seg: 59.7814, aux.loss_ce: 0.3016, aux.acc_seg: 58.2160, loss: 0.9629 +2022-06-19 01:41:14,968 - mmseg - INFO - Iter [6200/160000] lr: 2.961e-05, eta: 11:55:37, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7258, decode.acc_seg: 59.8530, aux.loss_ce: 0.3331, aux.acc_seg: 58.2092, loss: 1.0589 +2022-06-19 01:41:28,348 - mmseg - INFO - Iter [6250/160000] lr: 2.960e-05, eta: 11:55:08, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7235, decode.acc_seg: 59.6286, aux.loss_ce: 0.3270, aux.acc_seg: 58.0717, loss: 1.0504 +2022-06-19 01:41:41,776 - mmseg - INFO - Iter [6300/160000] lr: 2.959e-05, eta: 11:54:41, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.6629, decode.acc_seg: 61.9247, aux.loss_ce: 0.3019, aux.acc_seg: 60.4458, loss: 0.9648 +2022-06-19 01:41:57,747 - mmseg - INFO - Iter [6350/160000] lr: 2.958e-05, eta: 11:55:17, time: 0.320, data_time: 0.049, memory: 56924, decode.loss_ce: 0.7025, decode.acc_seg: 60.0961, aux.loss_ce: 0.3199, aux.acc_seg: 58.5237, loss: 1.0224 +2022-06-19 01:42:11,335 - mmseg - INFO - Iter [6400/160000] lr: 2.957e-05, eta: 11:54:53, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6843, decode.acc_seg: 61.9659, aux.loss_ce: 0.3175, aux.acc_seg: 59.9304, loss: 1.0018 +2022-06-19 01:42:24,807 - mmseg - INFO - Iter [6450/160000] lr: 2.956e-05, eta: 11:54:28, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7012, decode.acc_seg: 61.7269, aux.loss_ce: 0.3209, aux.acc_seg: 60.2025, loss: 1.0221 +2022-06-19 01:42:38,291 - mmseg - INFO - Iter [6500/160000] lr: 2.955e-05, eta: 11:54:02, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6734, decode.acc_seg: 59.7934, aux.loss_ce: 0.3057, aux.acc_seg: 58.4049, loss: 0.9791 +2022-06-19 01:42:51,860 - mmseg - INFO - Iter [6550/160000] lr: 2.954e-05, eta: 11:53:40, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6908, decode.acc_seg: 61.6372, aux.loss_ce: 0.3121, aux.acc_seg: 60.1361, loss: 1.0029 +2022-06-19 01:43:05,310 - mmseg - INFO - Iter [6600/160000] lr: 2.953e-05, eta: 11:53:14, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6284, decode.acc_seg: 61.8501, aux.loss_ce: 0.2911, aux.acc_seg: 60.3793, loss: 0.9195 +2022-06-19 01:43:18,771 - mmseg - INFO - Iter [6650/160000] lr: 2.952e-05, eta: 11:52:49, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6786, decode.acc_seg: 62.7020, aux.loss_ce: 0.3116, aux.acc_seg: 60.7804, loss: 0.9902 +2022-06-19 01:43:32,273 - mmseg - INFO - Iter [6700/160000] lr: 2.951e-05, eta: 11:52:25, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6680, decode.acc_seg: 61.1688, aux.loss_ce: 0.3017, aux.acc_seg: 59.6209, loss: 0.9697 +2022-06-19 01:43:45,664 - mmseg - INFO - Iter [6750/160000] lr: 2.950e-05, eta: 11:51:58, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6792, decode.acc_seg: 59.2337, aux.loss_ce: 0.3079, aux.acc_seg: 57.8102, loss: 0.9871 +2022-06-19 01:43:58,984 - mmseg - INFO - Iter [6800/160000] lr: 2.949e-05, eta: 11:51:30, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6692, decode.acc_seg: 62.3533, aux.loss_ce: 0.3042, aux.acc_seg: 60.7257, loss: 0.9734 +2022-06-19 01:44:12,609 - mmseg - INFO - Iter [6850/160000] lr: 2.948e-05, eta: 11:51:09, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6828, decode.acc_seg: 60.6819, aux.loss_ce: 0.3083, aux.acc_seg: 59.0847, loss: 0.9911 +2022-06-19 01:44:26,390 - mmseg - INFO - Iter [6900/160000] lr: 2.947e-05, eta: 11:50:52, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7261, decode.acc_seg: 60.3909, aux.loss_ce: 0.3275, aux.acc_seg: 58.7723, loss: 1.0536 +2022-06-19 01:44:39,891 - mmseg - INFO - Iter [6950/160000] lr: 2.946e-05, eta: 11:50:29, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7071, decode.acc_seg: 60.1766, aux.loss_ce: 0.3182, aux.acc_seg: 58.9327, loss: 1.0253 +2022-06-19 01:44:53,390 - mmseg - INFO - Saving checkpoint at 7000 iterations +2022-06-19 01:44:56,329 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 01:44:56,330 - mmseg - INFO - Iter [7000/160000] lr: 2.945e-05, eta: 11:51:10, time: 0.329, data_time: 0.003, memory: 56924, decode.loss_ce: 0.7169, decode.acc_seg: 60.8722, aux.loss_ce: 0.3230, aux.acc_seg: 59.6119, loss: 1.0399 +2022-06-19 01:45:09,587 - mmseg - INFO - Iter [7050/160000] lr: 2.944e-05, eta: 11:50:41, time: 0.265, data_time: 0.003, memory: 56924, decode.loss_ce: 0.7076, decode.acc_seg: 60.5601, aux.loss_ce: 0.3128, aux.acc_seg: 59.4060, loss: 1.0204 +2022-06-19 01:45:23,495 - mmseg - INFO - Iter [7100/160000] lr: 2.943e-05, eta: 11:50:26, time: 0.278, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6764, decode.acc_seg: 61.1069, aux.loss_ce: 0.3079, aux.acc_seg: 59.7064, loss: 0.9842 +2022-06-19 01:45:37,403 - mmseg - INFO - Iter [7150/160000] lr: 2.942e-05, eta: 11:50:12, time: 0.278, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6514, decode.acc_seg: 60.5424, aux.loss_ce: 0.2951, aux.acc_seg: 59.1316, loss: 0.9465 +2022-06-19 01:45:50,701 - mmseg - INFO - Iter [7200/160000] lr: 2.941e-05, eta: 11:49:44, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7082, decode.acc_seg: 61.5068, aux.loss_ce: 0.3164, aux.acc_seg: 60.5666, loss: 1.0246 +2022-06-19 01:46:04,492 - mmseg - INFO - Iter [7250/160000] lr: 2.941e-05, eta: 11:49:27, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6920, decode.acc_seg: 61.3863, aux.loss_ce: 0.3098, aux.acc_seg: 60.2785, loss: 1.0018 +2022-06-19 01:46:17,942 - mmseg - INFO - Iter [7300/160000] lr: 2.940e-05, eta: 11:49:03, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6517, decode.acc_seg: 61.6108, aux.loss_ce: 0.2916, aux.acc_seg: 60.3771, loss: 0.9434 +2022-06-19 01:46:31,335 - mmseg - INFO - Iter [7350/160000] lr: 2.939e-05, eta: 11:48:38, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6876, decode.acc_seg: 62.2566, aux.loss_ce: 0.3087, aux.acc_seg: 60.8018, loss: 0.9963 +2022-06-19 01:46:44,970 - mmseg - INFO - Iter [7400/160000] lr: 2.938e-05, eta: 11:48:18, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6899, decode.acc_seg: 61.3154, aux.loss_ce: 0.3015, aux.acc_seg: 60.3115, loss: 0.9913 +2022-06-19 01:46:58,670 - mmseg - INFO - Iter [7450/160000] lr: 2.937e-05, eta: 11:48:00, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.7217, decode.acc_seg: 62.2836, aux.loss_ce: 0.3212, aux.acc_seg: 60.9735, loss: 1.0429 +2022-06-19 01:47:12,353 - mmseg - INFO - Iter [7500/160000] lr: 2.936e-05, eta: 11:47:41, time: 0.274, data_time: 0.003, memory: 56924, decode.loss_ce: 0.6968, decode.acc_seg: 60.9276, aux.loss_ce: 0.3072, aux.acc_seg: 59.9604, loss: 1.0041 +2022-06-19 01:47:25,922 - mmseg - INFO - Iter [7550/160000] lr: 2.935e-05, eta: 11:47:20, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6829, decode.acc_seg: 61.2968, aux.loss_ce: 0.3098, aux.acc_seg: 59.5239, loss: 0.9926 +2022-06-19 01:47:41,705 - mmseg - INFO - Iter [7600/160000] lr: 2.934e-05, eta: 11:47:43, time: 0.315, data_time: 0.049, memory: 56924, decode.loss_ce: 0.6504, decode.acc_seg: 62.0066, aux.loss_ce: 0.2918, aux.acc_seg: 60.4354, loss: 0.9422 +2022-06-19 01:47:54,958 - mmseg - INFO - Iter [7650/160000] lr: 2.933e-05, eta: 11:47:16, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6111, decode.acc_seg: 62.4771, aux.loss_ce: 0.2786, aux.acc_seg: 61.4493, loss: 0.8898 +2022-06-19 01:48:08,875 - mmseg - INFO - Iter [7700/160000] lr: 2.932e-05, eta: 11:47:01, time: 0.278, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6575, decode.acc_seg: 62.0304, aux.loss_ce: 0.2961, aux.acc_seg: 60.8145, loss: 0.9536 +2022-06-19 01:48:22,363 - mmseg - INFO - Iter [7750/160000] lr: 2.931e-05, eta: 11:46:39, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6814, decode.acc_seg: 61.7100, aux.loss_ce: 0.3072, aux.acc_seg: 59.8997, loss: 0.9886 +2022-06-19 01:48:36,167 - mmseg - INFO - Iter [7800/160000] lr: 2.930e-05, eta: 11:46:23, time: 0.276, data_time: 0.005, memory: 56924, decode.loss_ce: 0.6614, decode.acc_seg: 61.8049, aux.loss_ce: 0.2961, aux.acc_seg: 60.3279, loss: 0.9575 +2022-06-19 01:48:49,646 - mmseg - INFO - Iter [7850/160000] lr: 2.929e-05, eta: 11:46:00, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6130, decode.acc_seg: 62.5171, aux.loss_ce: 0.2777, aux.acc_seg: 60.9011, loss: 0.8906 +2022-06-19 01:49:02,877 - mmseg - INFO - Iter [7900/160000] lr: 2.928e-05, eta: 11:45:33, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6831, decode.acc_seg: 60.8221, aux.loss_ce: 0.3050, aux.acc_seg: 59.5662, loss: 0.9881 +2022-06-19 01:49:16,332 - mmseg - INFO - Iter [7950/160000] lr: 2.927e-05, eta: 11:45:10, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6600, decode.acc_seg: 62.8501, aux.loss_ce: 0.2966, aux.acc_seg: 61.3343, loss: 0.9567 +2022-06-19 01:49:30,372 - mmseg - INFO - Saving checkpoint at 8000 iterations +2022-06-19 01:49:33,233 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 01:49:33,233 - mmseg - INFO - Iter [8000/160000] lr: 2.926e-05, eta: 11:45:53, time: 0.338, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6620, decode.acc_seg: 60.3743, aux.loss_ce: 0.2926, aux.acc_seg: 59.0967, loss: 0.9546 +2022-06-19 01:49:46,888 - mmseg - INFO - Iter [8050/160000] lr: 2.925e-05, eta: 11:45:34, time: 0.273, data_time: 0.003, memory: 56924, decode.loss_ce: 0.6621, decode.acc_seg: 62.2138, aux.loss_ce: 0.2910, aux.acc_seg: 61.3447, loss: 0.9531 +2022-06-19 01:50:00,321 - mmseg - INFO - Iter [8100/160000] lr: 2.924e-05, eta: 11:45:11, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6324, decode.acc_seg: 61.4352, aux.loss_ce: 0.2860, aux.acc_seg: 59.8212, loss: 0.9184 +2022-06-19 01:50:13,664 - mmseg - INFO - Iter [8150/160000] lr: 2.923e-05, eta: 11:44:46, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.6824, decode.acc_seg: 61.2571, aux.loss_ce: 0.3073, aux.acc_seg: 59.6745, loss: 0.9897 +2022-06-19 01:50:26,987 - mmseg - INFO - Iter [8200/160000] lr: 2.922e-05, eta: 11:44:21, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6368, decode.acc_seg: 62.9591, aux.loss_ce: 0.2847, aux.acc_seg: 61.7554, loss: 0.9215 +2022-06-19 01:50:40,748 - mmseg - INFO - Iter [8250/160000] lr: 2.921e-05, eta: 11:44:04, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6840, decode.acc_seg: 60.5934, aux.loss_ce: 0.3070, aux.acc_seg: 59.2210, loss: 0.9910 +2022-06-19 01:50:54,015 - mmseg - INFO - Iter [8300/160000] lr: 2.920e-05, eta: 11:43:38, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6582, decode.acc_seg: 61.5762, aux.loss_ce: 0.2974, aux.acc_seg: 59.8665, loss: 0.9556 +2022-06-19 01:51:07,662 - mmseg - INFO - Iter [8350/160000] lr: 2.919e-05, eta: 11:43:19, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6586, decode.acc_seg: 61.3526, aux.loss_ce: 0.2914, aux.acc_seg: 60.2083, loss: 0.9499 +2022-06-19 01:51:21,089 - mmseg - INFO - Iter [8400/160000] lr: 2.918e-05, eta: 11:42:57, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6393, decode.acc_seg: 62.5476, aux.loss_ce: 0.2825, aux.acc_seg: 61.3523, loss: 0.9218 +2022-06-19 01:51:34,722 - mmseg - INFO - Iter [8450/160000] lr: 2.917e-05, eta: 11:42:37, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6438, decode.acc_seg: 62.4833, aux.loss_ce: 0.2866, aux.acc_seg: 61.3373, loss: 0.9304 +2022-06-19 01:51:47,918 - mmseg - INFO - Iter [8500/160000] lr: 2.916e-05, eta: 11:42:11, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6734, decode.acc_seg: 61.8312, aux.loss_ce: 0.2925, aux.acc_seg: 60.7952, loss: 0.9659 +2022-06-19 01:52:01,464 - mmseg - INFO - Iter [8550/160000] lr: 2.915e-05, eta: 11:41:51, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 0.6366, decode.acc_seg: 60.8226, aux.loss_ce: 0.2790, aux.acc_seg: 59.9295, loss: 0.9155 +2022-06-19 01:52:15,143 - mmseg - INFO - Iter [8600/160000] lr: 2.915e-05, eta: 11:41:33, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6775, decode.acc_seg: 61.8279, aux.loss_ce: 0.2947, aux.acc_seg: 60.8154, loss: 0.9722 +2022-06-19 01:52:28,803 - mmseg - INFO - Iter [8650/160000] lr: 2.914e-05, eta: 11:41:15, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6504, decode.acc_seg: 61.9451, aux.loss_ce: 0.2890, aux.acc_seg: 60.8944, loss: 0.9394 +2022-06-19 01:52:42,321 - mmseg - INFO - Iter [8700/160000] lr: 2.913e-05, eta: 11:40:54, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6784, decode.acc_seg: 61.3828, aux.loss_ce: 0.2991, aux.acc_seg: 60.2084, loss: 0.9776 +2022-06-19 01:52:56,088 - mmseg - INFO - Iter [8750/160000] lr: 2.912e-05, eta: 11:40:38, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6563, decode.acc_seg: 61.5449, aux.loss_ce: 0.2887, aux.acc_seg: 60.4423, loss: 0.9450 +2022-06-19 01:53:09,605 - mmseg - INFO - Iter [8800/160000] lr: 2.911e-05, eta: 11:40:17, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6531, decode.acc_seg: 62.1436, aux.loss_ce: 0.2898, aux.acc_seg: 60.9212, loss: 0.9430 +2022-06-19 01:53:25,281 - mmseg - INFO - Iter [8850/160000] lr: 2.910e-05, eta: 11:40:34, time: 0.314, data_time: 0.049, memory: 56924, decode.loss_ce: 0.6469, decode.acc_seg: 63.1379, aux.loss_ce: 0.2871, aux.acc_seg: 61.7798, loss: 0.9340 +2022-06-19 01:53:38,507 - mmseg - INFO - Iter [8900/160000] lr: 2.909e-05, eta: 11:40:09, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6419, decode.acc_seg: 62.0694, aux.loss_ce: 0.2869, aux.acc_seg: 60.7100, loss: 0.9288 +2022-06-19 01:53:52,066 - mmseg - INFO - Iter [8950/160000] lr: 2.908e-05, eta: 11:39:49, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 0.6123, decode.acc_seg: 60.8766, aux.loss_ce: 0.2697, aux.acc_seg: 59.8628, loss: 0.8820 +2022-06-19 01:54:05,601 - mmseg - INFO - Saving checkpoint at 9000 iterations +2022-06-19 01:54:08,538 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 01:54:08,538 - mmseg - INFO - Iter [9000/160000] lr: 2.907e-05, eta: 11:40:18, time: 0.330, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6270, decode.acc_seg: 62.0282, aux.loss_ce: 0.2755, aux.acc_seg: 61.0732, loss: 0.9025 +2022-06-19 01:54:21,590 - mmseg - INFO - Iter [9050/160000] lr: 2.906e-05, eta: 11:39:50, time: 0.261, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6099, decode.acc_seg: 62.1395, aux.loss_ce: 0.2707, aux.acc_seg: 61.0133, loss: 0.8806 +2022-06-19 01:54:35,392 - mmseg - INFO - Iter [9100/160000] lr: 2.905e-05, eta: 11:39:34, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6232, decode.acc_seg: 61.6621, aux.loss_ce: 0.2756, aux.acc_seg: 60.5584, loss: 0.8988 +2022-06-19 01:54:48,816 - mmseg - INFO - Iter [9150/160000] lr: 2.904e-05, eta: 11:39:13, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6443, decode.acc_seg: 63.7227, aux.loss_ce: 0.2855, aux.acc_seg: 62.6290, loss: 0.9299 +2022-06-19 01:55:02,261 - mmseg - INFO - Iter [9200/160000] lr: 2.903e-05, eta: 11:38:51, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.6278, decode.acc_seg: 62.3943, aux.loss_ce: 0.2843, aux.acc_seg: 60.8727, loss: 0.9121 +2022-06-19 01:55:15,979 - mmseg - INFO - Iter [9250/160000] lr: 2.902e-05, eta: 11:38:34, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6351, decode.acc_seg: 63.1938, aux.loss_ce: 0.2825, aux.acc_seg: 61.8884, loss: 0.9176 +2022-06-19 01:55:29,328 - mmseg - INFO - Iter [9300/160000] lr: 2.901e-05, eta: 11:38:11, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5971, decode.acc_seg: 63.6461, aux.loss_ce: 0.2657, aux.acc_seg: 62.3848, loss: 0.8629 +2022-06-19 01:55:42,579 - mmseg - INFO - Iter [9350/160000] lr: 2.900e-05, eta: 11:37:47, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6415, decode.acc_seg: 61.7213, aux.loss_ce: 0.2869, aux.acc_seg: 60.5989, loss: 0.9284 +2022-06-19 01:55:55,939 - mmseg - INFO - Iter [9400/160000] lr: 2.899e-05, eta: 11:37:24, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6323, decode.acc_seg: 61.1318, aux.loss_ce: 0.2754, aux.acc_seg: 60.0732, loss: 0.9077 +2022-06-19 01:56:09,508 - mmseg - INFO - Iter [9450/160000] lr: 2.898e-05, eta: 11:37:05, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6183, decode.acc_seg: 62.8825, aux.loss_ce: 0.2755, aux.acc_seg: 61.6281, loss: 0.8938 +2022-06-19 01:56:23,120 - mmseg - INFO - Iter [9500/160000] lr: 2.897e-05, eta: 11:36:47, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6240, decode.acc_seg: 62.2752, aux.loss_ce: 0.2753, aux.acc_seg: 61.2745, loss: 0.8994 +2022-06-19 01:56:36,616 - mmseg - INFO - Iter [9550/160000] lr: 2.896e-05, eta: 11:36:27, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6356, decode.acc_seg: 63.1726, aux.loss_ce: 0.2788, aux.acc_seg: 62.2171, loss: 0.9145 +2022-06-19 01:56:50,427 - mmseg - INFO - Iter [9600/160000] lr: 2.895e-05, eta: 11:36:12, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6274, decode.acc_seg: 63.2648, aux.loss_ce: 0.2762, aux.acc_seg: 62.0246, loss: 0.9036 +2022-06-19 01:57:03,645 - mmseg - INFO - Iter [9650/160000] lr: 2.894e-05, eta: 11:35:47, time: 0.264, data_time: 0.003, memory: 56924, decode.loss_ce: 0.6521, decode.acc_seg: 64.3428, aux.loss_ce: 0.2859, aux.acc_seg: 63.3902, loss: 0.9380 +2022-06-19 01:57:17,335 - mmseg - INFO - Iter [9700/160000] lr: 2.893e-05, eta: 11:35:30, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6035, decode.acc_seg: 63.4202, aux.loss_ce: 0.2655, aux.acc_seg: 62.4845, loss: 0.8690 +2022-06-19 01:57:30,670 - mmseg - INFO - Iter [9750/160000] lr: 2.892e-05, eta: 11:35:08, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6127, decode.acc_seg: 61.9595, aux.loss_ce: 0.2683, aux.acc_seg: 61.1242, loss: 0.8810 +2022-06-19 01:57:44,244 - mmseg - INFO - Iter [9800/160000] lr: 2.891e-05, eta: 11:34:50, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6619, decode.acc_seg: 61.6789, aux.loss_ce: 0.2887, aux.acc_seg: 60.7182, loss: 0.9506 +2022-06-19 01:57:57,791 - mmseg - INFO - Iter [9850/160000] lr: 2.890e-05, eta: 11:34:31, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6262, decode.acc_seg: 61.9584, aux.loss_ce: 0.2772, aux.acc_seg: 60.9940, loss: 0.9035 +2022-06-19 01:58:10,920 - mmseg - INFO - Iter [9900/160000] lr: 2.889e-05, eta: 11:34:05, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6576, decode.acc_seg: 62.0063, aux.loss_ce: 0.2863, aux.acc_seg: 60.7631, loss: 0.9439 +2022-06-19 01:58:24,385 - mmseg - INFO - Iter [9950/160000] lr: 2.889e-05, eta: 11:33:46, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6459, decode.acc_seg: 61.8267, aux.loss_ce: 0.2795, aux.acc_seg: 61.0738, loss: 0.9254 +2022-06-19 01:58:37,575 - mmseg - INFO - Saving checkpoint at 10000 iterations +2022-06-19 01:58:40,429 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 01:58:40,429 - mmseg - INFO - Iter [10000/160000] lr: 2.888e-05, eta: 11:34:04, time: 0.321, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6418, decode.acc_seg: 62.1152, aux.loss_ce: 0.2844, aux.acc_seg: 60.9088, loss: 0.9262 +2022-06-19 01:58:54,017 - mmseg - INFO - Iter [10050/160000] lr: 2.887e-05, eta: 11:33:46, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6274, decode.acc_seg: 62.2804, aux.loss_ce: 0.2727, aux.acc_seg: 61.4745, loss: 0.9001 +2022-06-19 01:59:07,318 - mmseg - INFO - Iter [10100/160000] lr: 2.886e-05, eta: 11:33:23, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6275, decode.acc_seg: 61.0636, aux.loss_ce: 0.2746, aux.acc_seg: 60.1863, loss: 0.9021 +2022-06-19 01:59:23,277 - mmseg - INFO - Iter [10150/160000] lr: 2.885e-05, eta: 11:33:40, time: 0.319, data_time: 0.049, memory: 56924, decode.loss_ce: 0.6052, decode.acc_seg: 64.5218, aux.loss_ce: 0.2666, aux.acc_seg: 63.5512, loss: 0.8717 +2022-06-19 01:59:36,798 - mmseg - INFO - Iter [10200/160000] lr: 2.884e-05, eta: 11:33:21, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6022, decode.acc_seg: 64.2250, aux.loss_ce: 0.2673, aux.acc_seg: 62.7559, loss: 0.8695 +2022-06-19 01:59:50,313 - mmseg - INFO - Iter [10250/160000] lr: 2.883e-05, eta: 11:33:02, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5799, decode.acc_seg: 62.1829, aux.loss_ce: 0.2545, aux.acc_seg: 60.9749, loss: 0.8344 +2022-06-19 02:00:06,490 - mmseg - INFO - Iter [10300/160000] lr: 2.882e-05, eta: 11:33:21, time: 0.323, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6117, decode.acc_seg: 63.3348, aux.loss_ce: 0.2641, aux.acc_seg: 62.5452, loss: 0.8759 +2022-06-19 02:00:19,922 - mmseg - INFO - Iter [10350/160000] lr: 2.881e-05, eta: 11:33:01, time: 0.269, data_time: 0.005, memory: 56924, decode.loss_ce: 0.5491, decode.acc_seg: 63.4656, aux.loss_ce: 0.2425, aux.acc_seg: 62.5494, loss: 0.7916 +2022-06-19 02:00:33,278 - mmseg - INFO - Iter [10400/160000] lr: 2.880e-05, eta: 11:32:39, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5877, decode.acc_seg: 62.7214, aux.loss_ce: 0.2606, aux.acc_seg: 61.6881, loss: 0.8483 +2022-06-19 02:00:46,883 - mmseg - INFO - Iter [10450/160000] lr: 2.879e-05, eta: 11:32:21, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5893, decode.acc_seg: 64.3968, aux.loss_ce: 0.2614, aux.acc_seg: 63.1845, loss: 0.8506 +2022-06-19 02:01:00,227 - mmseg - INFO - Iter [10500/160000] lr: 2.878e-05, eta: 11:31:59, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5982, decode.acc_seg: 62.8904, aux.loss_ce: 0.2639, aux.acc_seg: 61.8448, loss: 0.8621 +2022-06-19 02:01:13,822 - mmseg - INFO - Iter [10550/160000] lr: 2.877e-05, eta: 11:31:41, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6041, decode.acc_seg: 62.7243, aux.loss_ce: 0.2693, aux.acc_seg: 61.3294, loss: 0.8734 +2022-06-19 02:01:27,376 - mmseg - INFO - Iter [10600/160000] lr: 2.876e-05, eta: 11:31:23, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.6158, decode.acc_seg: 62.1095, aux.loss_ce: 0.2689, aux.acc_seg: 61.1950, loss: 0.8846 +2022-06-19 02:01:41,290 - mmseg - INFO - Iter [10650/160000] lr: 2.875e-05, eta: 11:31:09, time: 0.278, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6130, decode.acc_seg: 62.5091, aux.loss_ce: 0.2722, aux.acc_seg: 60.8782, loss: 0.8852 +2022-06-19 02:01:54,717 - mmseg - INFO - Iter [10700/160000] lr: 2.874e-05, eta: 11:30:49, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6255, decode.acc_seg: 62.1139, aux.loss_ce: 0.2746, aux.acc_seg: 60.8797, loss: 0.9001 +2022-06-19 02:02:08,540 - mmseg - INFO - Iter [10750/160000] lr: 2.873e-05, eta: 11:30:34, time: 0.277, data_time: 0.005, memory: 56924, decode.loss_ce: 0.6266, decode.acc_seg: 62.6380, aux.loss_ce: 0.2734, aux.acc_seg: 61.8463, loss: 0.9000 +2022-06-19 02:02:22,200 - mmseg - INFO - Iter [10800/160000] lr: 2.872e-05, eta: 11:30:18, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6124, decode.acc_seg: 63.7381, aux.loss_ce: 0.2698, aux.acc_seg: 62.6918, loss: 0.8821 +2022-06-19 02:02:35,501 - mmseg - INFO - Iter [10850/160000] lr: 2.871e-05, eta: 11:29:55, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6270, decode.acc_seg: 62.4034, aux.loss_ce: 0.2755, aux.acc_seg: 61.2409, loss: 0.9024 +2022-06-19 02:02:49,176 - mmseg - INFO - Iter [10900/160000] lr: 2.870e-05, eta: 11:29:39, time: 0.274, data_time: 0.005, memory: 56924, decode.loss_ce: 0.6276, decode.acc_seg: 63.0516, aux.loss_ce: 0.2725, aux.acc_seg: 62.1233, loss: 0.9001 +2022-06-19 02:03:02,655 - mmseg - INFO - Iter [10950/160000] lr: 2.869e-05, eta: 11:29:20, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6613, decode.acc_seg: 62.2402, aux.loss_ce: 0.2843, aux.acc_seg: 61.5520, loss: 0.9456 +2022-06-19 02:03:16,082 - mmseg - INFO - Saving checkpoint at 11000 iterations +2022-06-19 02:03:19,097 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 02:03:19,097 - mmseg - INFO - Iter [11000/160000] lr: 2.868e-05, eta: 11:29:41, time: 0.329, data_time: 0.005, memory: 56924, decode.loss_ce: 0.6143, decode.acc_seg: 61.7555, aux.loss_ce: 0.2704, aux.acc_seg: 60.7073, loss: 0.8846 +2022-06-19 02:03:32,616 - mmseg - INFO - Iter [11050/160000] lr: 2.867e-05, eta: 11:29:22, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.5961, decode.acc_seg: 62.2185, aux.loss_ce: 0.2578, aux.acc_seg: 61.2370, loss: 0.8539 +2022-06-19 02:03:45,917 - mmseg - INFO - Iter [11100/160000] lr: 2.866e-05, eta: 11:29:00, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6027, decode.acc_seg: 62.0662, aux.loss_ce: 0.2611, aux.acc_seg: 60.9172, loss: 0.8638 +2022-06-19 02:03:59,547 - mmseg - INFO - Iter [11150/160000] lr: 2.865e-05, eta: 11:28:43, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6005, decode.acc_seg: 61.9289, aux.loss_ce: 0.2609, aux.acc_seg: 61.2713, loss: 0.8614 +2022-06-19 02:04:13,251 - mmseg - INFO - Iter [11200/160000] lr: 2.864e-05, eta: 11:28:26, time: 0.274, data_time: 0.003, memory: 56924, decode.loss_ce: 0.6402, decode.acc_seg: 62.3500, aux.loss_ce: 0.2770, aux.acc_seg: 61.4127, loss: 0.9173 +2022-06-19 02:04:26,715 - mmseg - INFO - Iter [11250/160000] lr: 2.864e-05, eta: 11:28:07, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6223, decode.acc_seg: 62.4130, aux.loss_ce: 0.2732, aux.acc_seg: 61.4376, loss: 0.8955 +2022-06-19 02:04:40,350 - mmseg - INFO - Iter [11300/160000] lr: 2.863e-05, eta: 11:27:50, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6131, decode.acc_seg: 63.0511, aux.loss_ce: 0.2728, aux.acc_seg: 61.7028, loss: 0.8860 +2022-06-19 02:04:53,768 - mmseg - INFO - Iter [11350/160000] lr: 2.862e-05, eta: 11:27:30, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5863, decode.acc_seg: 63.6338, aux.loss_ce: 0.2555, aux.acc_seg: 62.6757, loss: 0.8419 +2022-06-19 02:05:09,599 - mmseg - INFO - Iter [11400/160000] lr: 2.861e-05, eta: 11:27:42, time: 0.317, data_time: 0.050, memory: 56924, decode.loss_ce: 0.5901, decode.acc_seg: 62.2276, aux.loss_ce: 0.2567, aux.acc_seg: 61.4444, loss: 0.8468 +2022-06-19 02:05:23,229 - mmseg - INFO - Iter [11450/160000] lr: 2.860e-05, eta: 11:27:24, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5624, decode.acc_seg: 64.9237, aux.loss_ce: 0.2486, aux.acc_seg: 63.9177, loss: 0.8110 +2022-06-19 02:05:36,580 - mmseg - INFO - Iter [11500/160000] lr: 2.859e-05, eta: 11:27:04, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5920, decode.acc_seg: 61.7086, aux.loss_ce: 0.2574, aux.acc_seg: 61.0455, loss: 0.8494 +2022-06-19 02:05:49,795 - mmseg - INFO - Iter [11550/160000] lr: 2.858e-05, eta: 11:26:41, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5751, decode.acc_seg: 64.5300, aux.loss_ce: 0.2538, aux.acc_seg: 63.2588, loss: 0.8289 +2022-06-19 02:06:03,379 - mmseg - INFO - Iter [11600/160000] lr: 2.857e-05, eta: 11:26:24, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5735, decode.acc_seg: 64.7087, aux.loss_ce: 0.2537, aux.acc_seg: 63.7827, loss: 0.8272 +2022-06-19 02:06:16,974 - mmseg - INFO - Iter [11650/160000] lr: 2.856e-05, eta: 11:26:06, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5941, decode.acc_seg: 63.0201, aux.loss_ce: 0.2629, aux.acc_seg: 61.7678, loss: 0.8570 +2022-06-19 02:06:30,748 - mmseg - INFO - Iter [11700/160000] lr: 2.855e-05, eta: 11:25:51, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6059, decode.acc_seg: 62.1441, aux.loss_ce: 0.2674, aux.acc_seg: 60.8303, loss: 0.8733 +2022-06-19 02:06:44,303 - mmseg - INFO - Iter [11750/160000] lr: 2.854e-05, eta: 11:25:33, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5785, decode.acc_seg: 63.2466, aux.loss_ce: 0.2507, aux.acc_seg: 62.4384, loss: 0.8292 +2022-06-19 02:06:57,740 - mmseg - INFO - Iter [11800/160000] lr: 2.853e-05, eta: 11:25:14, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5705, decode.acc_seg: 63.5250, aux.loss_ce: 0.2520, aux.acc_seg: 62.7484, loss: 0.8225 +2022-06-19 02:07:11,396 - mmseg - INFO - Iter [11850/160000] lr: 2.852e-05, eta: 11:24:57, time: 0.273, data_time: 0.003, memory: 56924, decode.loss_ce: 0.5560, decode.acc_seg: 64.1357, aux.loss_ce: 0.2456, aux.acc_seg: 62.9473, loss: 0.8016 +2022-06-19 02:07:24,857 - mmseg - INFO - Iter [11900/160000] lr: 2.851e-05, eta: 11:24:38, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.5728, decode.acc_seg: 62.5655, aux.loss_ce: 0.2512, aux.acc_seg: 61.8676, loss: 0.8241 +2022-06-19 02:07:38,617 - mmseg - INFO - Iter [11950/160000] lr: 2.850e-05, eta: 11:24:23, time: 0.275, data_time: 0.003, memory: 56924, decode.loss_ce: 0.5629, decode.acc_seg: 63.8838, aux.loss_ce: 0.2474, aux.acc_seg: 62.9377, loss: 0.8103 +2022-06-19 02:07:51,993 - mmseg - INFO - Saving checkpoint at 12000 iterations +2022-06-19 02:07:54,980 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 02:07:54,980 - mmseg - INFO - Iter [12000/160000] lr: 2.849e-05, eta: 11:24:40, time: 0.327, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6018, decode.acc_seg: 63.8857, aux.loss_ce: 0.2607, aux.acc_seg: 63.0403, loss: 0.8625 +2022-06-19 02:08:08,517 - mmseg - INFO - Iter [12050/160000] lr: 2.848e-05, eta: 11:24:22, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5948, decode.acc_seg: 62.3876, aux.loss_ce: 0.2597, aux.acc_seg: 61.6543, loss: 0.8545 +2022-06-19 02:08:21,627 - mmseg - INFO - Iter [12100/160000] lr: 2.847e-05, eta: 11:23:59, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6171, decode.acc_seg: 62.0296, aux.loss_ce: 0.2661, aux.acc_seg: 61.2485, loss: 0.8832 +2022-06-19 02:08:35,016 - mmseg - INFO - Iter [12150/160000] lr: 2.846e-05, eta: 11:23:39, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5882, decode.acc_seg: 62.3519, aux.loss_ce: 0.2527, aux.acc_seg: 61.8915, loss: 0.8409 +2022-06-19 02:08:48,546 - mmseg - INFO - Iter [12200/160000] lr: 2.845e-05, eta: 11:23:21, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5553, decode.acc_seg: 64.0287, aux.loss_ce: 0.2428, aux.acc_seg: 62.8375, loss: 0.7981 +2022-06-19 02:09:01,903 - mmseg - INFO - Iter [12250/160000] lr: 2.844e-05, eta: 11:23:01, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5925, decode.acc_seg: 63.3951, aux.loss_ce: 0.2570, aux.acc_seg: 62.5881, loss: 0.8494 +2022-06-19 02:09:15,257 - mmseg - INFO - Iter [12300/160000] lr: 2.843e-05, eta: 11:22:41, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6214, decode.acc_seg: 61.3193, aux.loss_ce: 0.2700, aux.acc_seg: 60.4148, loss: 0.8915 +2022-06-19 02:09:28,622 - mmseg - INFO - Iter [12350/160000] lr: 2.842e-05, eta: 11:22:21, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5609, decode.acc_seg: 63.9081, aux.loss_ce: 0.2425, aux.acc_seg: 63.1599, loss: 0.8034 +2022-06-19 02:09:42,189 - mmseg - INFO - Iter [12400/160000] lr: 2.841e-05, eta: 11:22:03, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5985, decode.acc_seg: 65.6295, aux.loss_ce: 0.2611, aux.acc_seg: 64.5781, loss: 0.8596 +2022-06-19 02:09:55,997 - mmseg - INFO - Iter [12450/160000] lr: 2.840e-05, eta: 11:21:49, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5926, decode.acc_seg: 63.1529, aux.loss_ce: 0.2585, aux.acc_seg: 62.3183, loss: 0.8511 +2022-06-19 02:10:09,433 - mmseg - INFO - Iter [12500/160000] lr: 2.839e-05, eta: 11:21:30, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5855, decode.acc_seg: 62.8753, aux.loss_ce: 0.2568, aux.acc_seg: 61.8763, loss: 0.8423 +2022-06-19 02:10:23,058 - mmseg - INFO - Iter [12550/160000] lr: 2.838e-05, eta: 11:21:13, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5910, decode.acc_seg: 63.2638, aux.loss_ce: 0.2603, aux.acc_seg: 62.0318, loss: 0.8514 +2022-06-19 02:10:36,505 - mmseg - INFO - Iter [12600/160000] lr: 2.838e-05, eta: 11:20:55, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5824, decode.acc_seg: 61.9801, aux.loss_ce: 0.2583, aux.acc_seg: 60.8962, loss: 0.8407 +2022-06-19 02:10:52,290 - mmseg - INFO - Iter [12650/160000] lr: 2.837e-05, eta: 11:21:03, time: 0.316, data_time: 0.049, memory: 56924, decode.loss_ce: 0.5892, decode.acc_seg: 63.7343, aux.loss_ce: 0.2572, aux.acc_seg: 62.9798, loss: 0.8464 +2022-06-19 02:11:06,056 - mmseg - INFO - Iter [12700/160000] lr: 2.836e-05, eta: 11:20:48, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5766, decode.acc_seg: 64.5630, aux.loss_ce: 0.2504, aux.acc_seg: 63.8343, loss: 0.8270 +2022-06-19 02:11:19,654 - mmseg - INFO - Iter [12750/160000] lr: 2.835e-05, eta: 11:20:31, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.5631, decode.acc_seg: 64.2869, aux.loss_ce: 0.2487, aux.acc_seg: 63.3230, loss: 0.8118 +2022-06-19 02:11:32,740 - mmseg - INFO - Iter [12800/160000] lr: 2.834e-05, eta: 11:20:08, time: 0.261, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5546, decode.acc_seg: 64.8905, aux.loss_ce: 0.2435, aux.acc_seg: 64.1203, loss: 0.7980 +2022-06-19 02:11:46,222 - mmseg - INFO - Iter [12850/160000] lr: 2.833e-05, eta: 11:19:50, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5699, decode.acc_seg: 63.8067, aux.loss_ce: 0.2499, aux.acc_seg: 62.7384, loss: 0.8198 +2022-06-19 02:11:59,695 - mmseg - INFO - Iter [12900/160000] lr: 2.832e-05, eta: 11:19:32, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5715, decode.acc_seg: 63.2432, aux.loss_ce: 0.2490, aux.acc_seg: 62.2517, loss: 0.8204 +2022-06-19 02:12:13,510 - mmseg - INFO - Iter [12950/160000] lr: 2.831e-05, eta: 11:19:18, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5704, decode.acc_seg: 62.8951, aux.loss_ce: 0.2484, aux.acc_seg: 61.9452, loss: 0.8188 +2022-06-19 02:12:27,104 - mmseg - INFO - Saving checkpoint at 13000 iterations +2022-06-19 02:12:29,980 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 02:12:29,980 - mmseg - INFO - Iter [13000/160000] lr: 2.830e-05, eta: 11:19:33, time: 0.329, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5711, decode.acc_seg: 62.7572, aux.loss_ce: 0.2500, aux.acc_seg: 61.6909, loss: 0.8212 +2022-06-19 02:12:43,367 - mmseg - INFO - Iter [13050/160000] lr: 2.829e-05, eta: 11:19:14, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5831, decode.acc_seg: 64.9120, aux.loss_ce: 0.2577, aux.acc_seg: 63.9411, loss: 0.8408 +2022-06-19 02:12:56,743 - mmseg - INFO - Iter [13100/160000] lr: 2.828e-05, eta: 11:18:55, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5842, decode.acc_seg: 64.1214, aux.loss_ce: 0.2537, aux.acc_seg: 63.3359, loss: 0.8379 +2022-06-19 02:13:10,486 - mmseg - INFO - Iter [13150/160000] lr: 2.827e-05, eta: 11:18:39, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5682, decode.acc_seg: 64.7548, aux.loss_ce: 0.2474, aux.acc_seg: 63.9461, loss: 0.8156 +2022-06-19 02:13:23,924 - mmseg - INFO - Iter [13200/160000] lr: 2.826e-05, eta: 11:18:21, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.5623, decode.acc_seg: 62.3444, aux.loss_ce: 0.2461, aux.acc_seg: 61.6429, loss: 0.8084 +2022-06-19 02:13:37,264 - mmseg - INFO - Iter [13250/160000] lr: 2.825e-05, eta: 11:18:01, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5490, decode.acc_seg: 65.0160, aux.loss_ce: 0.2404, aux.acc_seg: 64.1911, loss: 0.7894 +2022-06-19 02:13:50,802 - mmseg - INFO - Iter [13300/160000] lr: 2.824e-05, eta: 11:17:44, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5795, decode.acc_seg: 63.4983, aux.loss_ce: 0.2511, aux.acc_seg: 62.9344, loss: 0.8306 +2022-06-19 02:14:04,123 - mmseg - INFO - Iter [13350/160000] lr: 2.823e-05, eta: 11:17:24, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5631, decode.acc_seg: 64.2111, aux.loss_ce: 0.2472, aux.acc_seg: 63.4096, loss: 0.8103 +2022-06-19 02:14:17,616 - mmseg - INFO - Iter [13400/160000] lr: 2.822e-05, eta: 11:17:06, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5855, decode.acc_seg: 62.2978, aux.loss_ce: 0.2555, aux.acc_seg: 61.4877, loss: 0.8410 +2022-06-19 02:14:30,928 - mmseg - INFO - Iter [13450/160000] lr: 2.821e-05, eta: 11:16:46, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5760, decode.acc_seg: 63.3906, aux.loss_ce: 0.2528, aux.acc_seg: 62.5090, loss: 0.8287 +2022-06-19 02:14:44,648 - mmseg - INFO - Iter [13500/160000] lr: 2.820e-05, eta: 11:16:31, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5315, decode.acc_seg: 64.5230, aux.loss_ce: 0.2330, aux.acc_seg: 63.8008, loss: 0.7646 +2022-06-19 02:14:58,243 - mmseg - INFO - Iter [13550/160000] lr: 2.819e-05, eta: 11:16:14, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5666, decode.acc_seg: 64.2592, aux.loss_ce: 0.2461, aux.acc_seg: 63.4845, loss: 0.8126 +2022-06-19 02:15:11,923 - mmseg - INFO - Iter [13600/160000] lr: 2.818e-05, eta: 11:15:59, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5975, decode.acc_seg: 62.1804, aux.loss_ce: 0.2584, aux.acc_seg: 61.3397, loss: 0.8559 +2022-06-19 02:15:25,377 - mmseg - INFO - Iter [13650/160000] lr: 2.817e-05, eta: 11:15:41, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5868, decode.acc_seg: 63.3263, aux.loss_ce: 0.2523, aux.acc_seg: 62.5103, loss: 0.8392 +2022-06-19 02:15:39,322 - mmseg - INFO - Iter [13700/160000] lr: 2.816e-05, eta: 11:15:28, time: 0.279, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5796, decode.acc_seg: 64.6892, aux.loss_ce: 0.2490, aux.acc_seg: 63.6368, loss: 0.8286 +2022-06-19 02:15:52,711 - mmseg - INFO - Iter [13750/160000] lr: 2.815e-05, eta: 11:15:09, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5839, decode.acc_seg: 64.1873, aux.loss_ce: 0.2506, aux.acc_seg: 63.6939, loss: 0.8345 +2022-06-19 02:16:06,376 - mmseg - INFO - Iter [13800/160000] lr: 2.814e-05, eta: 11:14:53, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5631, decode.acc_seg: 63.3312, aux.loss_ce: 0.2438, aux.acc_seg: 62.3719, loss: 0.8069 +2022-06-19 02:16:19,804 - mmseg - INFO - Iter [13850/160000] lr: 2.813e-05, eta: 11:14:35, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5677, decode.acc_seg: 63.5040, aux.loss_ce: 0.2458, aux.acc_seg: 62.6570, loss: 0.8135 +2022-06-19 02:16:35,518 - mmseg - INFO - Iter [13900/160000] lr: 2.812e-05, eta: 11:14:41, time: 0.314, data_time: 0.049, memory: 56924, decode.loss_ce: 0.5570, decode.acc_seg: 63.6810, aux.loss_ce: 0.2425, aux.acc_seg: 62.9411, loss: 0.7995 +2022-06-19 02:16:49,070 - mmseg - INFO - Iter [13950/160000] lr: 2.812e-05, eta: 11:14:24, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5406, decode.acc_seg: 64.1748, aux.loss_ce: 0.2359, aux.acc_seg: 63.2410, loss: 0.7765 +2022-06-19 02:17:02,503 - mmseg - INFO - Saving checkpoint at 14000 iterations +2022-06-19 02:17:05,383 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 02:17:05,384 - mmseg - INFO - Iter [14000/160000] lr: 2.811e-05, eta: 11:14:35, time: 0.326, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5210, decode.acc_seg: 64.3501, aux.loss_ce: 0.2278, aux.acc_seg: 63.8196, loss: 0.7488 +2022-06-19 02:17:19,016 - mmseg - INFO - Iter [14050/160000] lr: 2.810e-05, eta: 11:14:19, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5325, decode.acc_seg: 65.1352, aux.loss_ce: 0.2302, aux.acc_seg: 64.3111, loss: 0.7626 +2022-06-19 02:17:32,182 - mmseg - INFO - Iter [14100/160000] lr: 2.809e-05, eta: 11:13:58, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5659, decode.acc_seg: 64.6888, aux.loss_ce: 0.2465, aux.acc_seg: 63.7803, loss: 0.8125 +2022-06-19 02:17:45,928 - mmseg - INFO - Iter [14150/160000] lr: 2.808e-05, eta: 11:13:43, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.6033, decode.acc_seg: 63.1203, aux.loss_ce: 0.2604, aux.acc_seg: 62.0832, loss: 0.8637 +2022-06-19 02:17:59,298 - mmseg - INFO - Iter [14200/160000] lr: 2.807e-05, eta: 11:13:24, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5307, decode.acc_seg: 64.7250, aux.loss_ce: 0.2315, aux.acc_seg: 64.0908, loss: 0.7622 +2022-06-19 02:18:12,815 - mmseg - INFO - Iter [14250/160000] lr: 2.806e-05, eta: 11:13:07, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5260, decode.acc_seg: 65.6985, aux.loss_ce: 0.2321, aux.acc_seg: 64.5908, loss: 0.7582 +2022-06-19 02:18:26,285 - mmseg - INFO - Iter [14300/160000] lr: 2.805e-05, eta: 11:12:49, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5319, decode.acc_seg: 65.6659, aux.loss_ce: 0.2342, aux.acc_seg: 64.5618, loss: 0.7660 +2022-06-19 02:18:39,963 - mmseg - INFO - Iter [14350/160000] lr: 2.804e-05, eta: 11:12:33, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5519, decode.acc_seg: 65.2084, aux.loss_ce: 0.2441, aux.acc_seg: 64.1436, loss: 0.7960 +2022-06-19 02:18:53,554 - mmseg - INFO - Iter [14400/160000] lr: 2.803e-05, eta: 11:12:17, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5494, decode.acc_seg: 64.1523, aux.loss_ce: 0.2411, aux.acc_seg: 63.0756, loss: 0.7905 +2022-06-19 02:19:06,924 - mmseg - INFO - Iter [14450/160000] lr: 2.802e-05, eta: 11:11:58, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5176, decode.acc_seg: 65.2580, aux.loss_ce: 0.2249, aux.acc_seg: 64.3982, loss: 0.7425 +2022-06-19 02:19:20,256 - mmseg - INFO - Iter [14500/160000] lr: 2.801e-05, eta: 11:11:39, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5372, decode.acc_seg: 64.0447, aux.loss_ce: 0.2327, aux.acc_seg: 63.1198, loss: 0.7699 +2022-06-19 02:19:33,634 - mmseg - INFO - Iter [14550/160000] lr: 2.800e-05, eta: 11:11:20, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5589, decode.acc_seg: 64.5122, aux.loss_ce: 0.2451, aux.acc_seg: 63.4732, loss: 0.8039 +2022-06-19 02:19:47,214 - mmseg - INFO - Iter [14600/160000] lr: 2.799e-05, eta: 11:11:04, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5609, decode.acc_seg: 64.5389, aux.loss_ce: 0.2445, aux.acc_seg: 63.6833, loss: 0.8054 +2022-06-19 02:20:00,531 - mmseg - INFO - Iter [14650/160000] lr: 2.798e-05, eta: 11:10:45, time: 0.266, data_time: 0.005, memory: 56924, decode.loss_ce: 0.5773, decode.acc_seg: 63.3579, aux.loss_ce: 0.2511, aux.acc_seg: 62.4237, loss: 0.8284 +2022-06-19 02:20:14,136 - mmseg - INFO - Iter [14700/160000] lr: 2.797e-05, eta: 11:10:29, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5462, decode.acc_seg: 64.6804, aux.loss_ce: 0.2384, aux.acc_seg: 63.8560, loss: 0.7845 +2022-06-19 02:20:27,637 - mmseg - INFO - Iter [14750/160000] lr: 2.796e-05, eta: 11:10:11, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5589, decode.acc_seg: 63.7717, aux.loss_ce: 0.2440, aux.acc_seg: 62.7684, loss: 0.8029 +2022-06-19 02:20:40,949 - mmseg - INFO - Iter [14800/160000] lr: 2.795e-05, eta: 11:09:53, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5475, decode.acc_seg: 64.6951, aux.loss_ce: 0.2377, aux.acc_seg: 63.7866, loss: 0.7852 +2022-06-19 02:20:54,457 - mmseg - INFO - Iter [14850/160000] lr: 2.794e-05, eta: 11:09:35, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5977, decode.acc_seg: 63.9215, aux.loss_ce: 0.2589, aux.acc_seg: 63.3546, loss: 0.8565 +2022-06-19 02:21:07,920 - mmseg - INFO - Iter [14900/160000] lr: 2.793e-05, eta: 11:09:18, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5624, decode.acc_seg: 63.5260, aux.loss_ce: 0.2445, aux.acc_seg: 62.8935, loss: 0.8069 +2022-06-19 02:21:21,724 - mmseg - INFO - Iter [14950/160000] lr: 2.792e-05, eta: 11:09:04, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5854, decode.acc_seg: 64.9705, aux.loss_ce: 0.2529, aux.acc_seg: 63.8429, loss: 0.8383 +2022-06-19 02:21:35,039 - mmseg - INFO - Saving checkpoint at 15000 iterations +2022-06-19 02:21:38,057 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 02:21:38,065 - mmseg - INFO - Iter [15000/160000] lr: 2.791e-05, eta: 11:09:14, time: 0.327, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5854, decode.acc_seg: 64.4277, aux.loss_ce: 0.2523, aux.acc_seg: 63.2272, loss: 0.8377 +2022-06-19 02:21:51,703 - mmseg - INFO - Iter [15050/160000] lr: 2.790e-05, eta: 11:08:58, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5605, decode.acc_seg: 63.6784, aux.loss_ce: 0.2413, aux.acc_seg: 63.1718, loss: 0.8018 +2022-06-19 02:22:05,207 - mmseg - INFO - Iter [15100/160000] lr: 2.789e-05, eta: 11:08:41, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.5769, decode.acc_seg: 63.8021, aux.loss_ce: 0.2478, aux.acc_seg: 62.9345, loss: 0.8247 +2022-06-19 02:22:18,752 - mmseg - INFO - Iter [15150/160000] lr: 2.788e-05, eta: 11:08:24, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5345, decode.acc_seg: 63.9935, aux.loss_ce: 0.2337, aux.acc_seg: 63.1814, loss: 0.7683 +2022-06-19 02:22:34,544 - mmseg - INFO - Iter [15200/160000] lr: 2.787e-05, eta: 11:08:29, time: 0.316, data_time: 0.050, memory: 56924, decode.loss_ce: 0.5305, decode.acc_seg: 66.2792, aux.loss_ce: 0.2335, aux.acc_seg: 65.1618, loss: 0.7640 +2022-06-19 02:22:48,057 - mmseg - INFO - Iter [15250/160000] lr: 2.787e-05, eta: 11:08:12, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5275, decode.acc_seg: 64.2611, aux.loss_ce: 0.2332, aux.acc_seg: 63.2164, loss: 0.7607 +2022-06-19 02:23:01,597 - mmseg - INFO - Iter [15300/160000] lr: 2.786e-05, eta: 11:07:55, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5412, decode.acc_seg: 63.6402, aux.loss_ce: 0.2390, aux.acc_seg: 62.4976, loss: 0.7802 +2022-06-19 02:23:15,339 - mmseg - INFO - Iter [15350/160000] lr: 2.785e-05, eta: 11:07:40, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5244, decode.acc_seg: 64.7523, aux.loss_ce: 0.2311, aux.acc_seg: 63.8522, loss: 0.7555 +2022-06-19 02:23:29,074 - mmseg - INFO - Iter [15400/160000] lr: 2.784e-05, eta: 11:07:26, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5177, decode.acc_seg: 65.5094, aux.loss_ce: 0.2277, aux.acc_seg: 64.3074, loss: 0.7454 +2022-06-19 02:23:42,413 - mmseg - INFO - Iter [15450/160000] lr: 2.783e-05, eta: 11:07:07, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5575, decode.acc_seg: 64.7250, aux.loss_ce: 0.2456, aux.acc_seg: 63.6131, loss: 0.8031 +2022-06-19 02:23:55,829 - mmseg - INFO - Iter [15500/160000] lr: 2.782e-05, eta: 11:06:49, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5587, decode.acc_seg: 62.9402, aux.loss_ce: 0.2452, aux.acc_seg: 62.1760, loss: 0.8039 +2022-06-19 02:24:09,058 - mmseg - INFO - Iter [15550/160000] lr: 2.781e-05, eta: 11:06:30, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5228, decode.acc_seg: 65.8082, aux.loss_ce: 0.2291, aux.acc_seg: 64.7414, loss: 0.7519 +2022-06-19 02:24:22,391 - mmseg - INFO - Iter [15600/160000] lr: 2.780e-05, eta: 11:06:11, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5702, decode.acc_seg: 64.3570, aux.loss_ce: 0.2490, aux.acc_seg: 63.3451, loss: 0.8192 +2022-06-19 02:24:35,912 - mmseg - INFO - Iter [15650/160000] lr: 2.779e-05, eta: 11:05:54, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5498, decode.acc_seg: 65.4248, aux.loss_ce: 0.2415, aux.acc_seg: 64.4832, loss: 0.7913 +2022-06-19 02:24:49,210 - mmseg - INFO - Iter [15700/160000] lr: 2.778e-05, eta: 11:05:35, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5645, decode.acc_seg: 63.9742, aux.loss_ce: 0.2465, aux.acc_seg: 63.1605, loss: 0.8109 +2022-06-19 02:25:02,689 - mmseg - INFO - Iter [15750/160000] lr: 2.777e-05, eta: 11:05:18, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5745, decode.acc_seg: 63.0330, aux.loss_ce: 0.2486, aux.acc_seg: 62.0077, loss: 0.8232 +2022-06-19 02:25:16,394 - mmseg - INFO - Iter [15800/160000] lr: 2.776e-05, eta: 11:05:03, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5506, decode.acc_seg: 62.5779, aux.loss_ce: 0.2377, aux.acc_seg: 61.8041, loss: 0.7883 +2022-06-19 02:25:29,977 - mmseg - INFO - Iter [15850/160000] lr: 2.775e-05, eta: 11:04:47, time: 0.272, data_time: 0.003, memory: 56924, decode.loss_ce: 0.5168, decode.acc_seg: 65.1325, aux.loss_ce: 0.2259, aux.acc_seg: 63.9903, loss: 0.7427 +2022-06-19 02:25:43,214 - mmseg - INFO - Iter [15900/160000] lr: 2.774e-05, eta: 11:04:28, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5658, decode.acc_seg: 62.8853, aux.loss_ce: 0.2457, aux.acc_seg: 61.9758, loss: 0.8116 +2022-06-19 02:25:56,350 - mmseg - INFO - Iter [15950/160000] lr: 2.773e-05, eta: 11:04:08, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5431, decode.acc_seg: 66.8024, aux.loss_ce: 0.2350, aux.acc_seg: 65.9854, loss: 0.7781 +2022-06-19 02:26:10,091 - mmseg - INFO - Saving checkpoint at 16000 iterations +2022-06-19 02:26:13,002 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 02:26:13,002 - mmseg - INFO - Iter [16000/160000] lr: 2.772e-05, eta: 11:04:19, time: 0.332, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5170, decode.acc_seg: 64.3068, aux.loss_ce: 0.2281, aux.acc_seg: 63.1058, loss: 0.7451 +2022-06-19 02:27:35,789 - mmseg - INFO - per class results: +2022-06-19 02:27:35,796 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 73.7 | 84.69 | +| building | 79.73 | 92.5 | +| sky | 94.1 | 97.58 | +| floor | 80.41 | 87.4 | +| tree | 72.62 | 87.21 | +| ceiling | 81.03 | 90.58 | +| road | 81.59 | 89.66 | +| bed | 84.83 | 93.86 | +| windowpane | 58.0 | 73.67 | +| grass | 66.16 | 80.87 | +| cabinet | 54.31 | 65.91 | +| sidewalk | 58.91 | 76.19 | +| person | 78.63 | 89.69 | +| earth | 30.74 | 41.94 | +| door | 36.45 | 45.63 | +| table | 51.72 | 66.94 | +| mountain | 53.85 | 76.59 | +| plant | 47.52 | 56.33 | +| curtain | 69.45 | 85.23 | +| chair | 48.82 | 71.14 | +| car | 81.93 | 91.39 | +| water | 59.53 | 74.82 | +| painting | 65.2 | 84.59 | +| sofa | 61.71 | 77.88 | +| shelf | 40.11 | 61.27 | +| house | 48.66 | 60.27 | +| sea | 71.51 | 92.54 | +| mirror | 57.73 | 71.99 | +| rug | 62.07 | 75.54 | +| field | 22.45 | 45.89 | +| armchair | 33.6 | 52.27 | +| seat | 58.43 | 76.55 | +| fence | 43.16 | 65.89 | +| desk | 34.76 | 59.7 | +| rock | 35.0 | 50.15 | +| wardrobe | 50.61 | 74.12 | +| lamp | 51.56 | 66.1 | +| bathtub | 67.88 | 84.17 | +| railing | 29.33 | 34.86 | +| cushion | 50.12 | 66.79 | +| base | 13.43 | 18.28 | +| box | 15.24 | 18.42 | +| column | 42.71 | 54.09 | +| signboard | 33.52 | 45.5 | +| chest of drawers | 32.14 | 58.81 | +| counter | 24.45 | 32.99 | +| sand | 38.68 | 49.95 | +| sink | 59.33 | 69.49 | +| skyscraper | 48.75 | 64.12 | +| fireplace | 66.75 | 88.11 | +| refrigerator | 55.08 | 85.88 | +| grandstand | 47.77 | 75.95 | +| path | 16.13 | 21.46 | +| stairs | 32.34 | 39.92 | +| runway | 71.69 | 96.3 | +| case | 54.63 | 64.48 | +| pool table | 90.85 | 95.97 | +| pillow | 48.54 | 57.46 | +| screen door | 62.9 | 77.37 | +| stairway | 34.5 | 43.08 | +| river | 32.5 | 47.42 | +| bridge | 54.0 | 71.93 | +| bookcase | 37.23 | 56.97 | +| blind | 41.53 | 58.92 | +| coffee table | 52.36 | 81.19 | +| toilet | 77.13 | 88.61 | +| flower | 29.41 | 41.06 | +| book | 45.51 | 62.29 | +| hill | 7.42 | 16.97 | +| bench | 36.72 | 45.25 | +| countertop | 53.0 | 71.79 | +| stove | 57.47 | 82.45 | +| palm | 45.84 | 65.34 | +| kitchen island | 31.73 | 61.7 | +| computer | 67.98 | 88.02 | +| swivel chair | 36.47 | 48.14 | +| boat | 39.12 | 43.04 | +| bar | 45.99 | 65.58 | +| arcade machine | 65.67 | 81.44 | +| hovel | 41.09 | 66.69 | +| bus | 73.0 | 85.47 | +| towel | 50.22 | 71.57 | +| light | 27.18 | 28.63 | +| truck | 28.61 | 35.46 | +| tower | 37.89 | 64.97 | +| chandelier | 55.22 | 81.57 | +| awning | 19.72 | 22.8 | +| streetlight | 14.98 | 18.48 | +| booth | 28.58 | 36.11 | +| television receiver | 59.21 | 71.47 | +| airplane | 46.59 | 63.32 | +| dirt track | 7.03 | 16.44 | +| apparel | 26.52 | 50.02 | +| pole | 13.67 | 17.47 | +| land | 1.24 | 1.45 | +| bannister | 0.0 | 0.0 | +| escalator | 41.04 | 61.07 | +| ottoman | 36.95 | 50.32 | +| bottle | 34.41 | 49.42 | +| buffet | 39.47 | 57.68 | +| poster | 4.93 | 6.8 | +| stage | 8.64 | 19.97 | +| van | 27.06 | 36.1 | +| ship | 35.9 | 58.17 | +| fountain | 34.81 | 38.55 | +| conveyer belt | 50.45 | 80.91 | +| canopy | 21.34 | 43.94 | +| washer | 69.17 | 78.21 | +| plaything | 18.79 | 29.35 | +| swimming pool | 64.15 | 88.0 | +| stool | 2.88 | 3.19 | +| barrel | 16.57 | 60.8 | +| basket | 29.65 | 38.4 | +| waterfall | 62.47 | 93.03 | +| tent | 81.55 | 99.55 | +| bag | 2.35 | 2.4 | +| minibike | 60.77 | 77.27 | +| cradle | 72.55 | 96.96 | +| oven | 7.96 | 18.15 | +| ball | 43.85 | 64.71 | +| food | 44.88 | 53.72 | +| step | 0.22 | 0.22 | +| tank | 33.87 | 41.75 | +| trade name | 22.43 | 24.92 | +| microwave | 43.69 | 48.87 | +| pot | 37.28 | 42.77 | +| animal | 63.04 | 68.13 | +| bicycle | 50.26 | 69.53 | +| lake | 0.0 | 0.0 | +| dishwasher | 30.89 | 39.07 | +| screen | 63.51 | 89.45 | +| blanket | 0.04 | 0.04 | +| sculpture | 39.86 | 49.05 | +| hood | 41.28 | 52.17 | +| sconce | 15.06 | 15.9 | +| vase | 20.5 | 37.33 | +| traffic light | 20.25 | 29.42 | +| tray | 0.31 | 0.34 | +| ashcan | 29.34 | 35.03 | +| fan | 38.78 | 49.57 | +| pier | 28.51 | 33.39 | +| crt screen | 0.0 | 0.0 | +| plate | 41.04 | 52.47 | +| monitor | 49.01 | 66.32 | +| bulletin board | 21.29 | 23.86 | +| shower | 0.0 | 0.0 | +| radiator | 46.14 | 50.09 | +| glass | 4.3 | 4.45 | +| clock | 18.94 | 22.97 | +| flag | 36.39 | 39.36 | ++---------------------+-------+-------+ +2022-06-19 02:27:35,796 - mmseg - INFO - Summary: +2022-06-19 02:27:35,796 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 80.51 | 42.09 | 55.21 | ++-------+-------+-------+ +2022-06-19 02:27:38,654 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_16000.pth. +2022-06-19 02:27:38,654 - mmseg - INFO - Best mIoU is 0.4209 at 16000 iter. +2022-06-19 02:27:38,663 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 02:27:38,663 - mmseg - INFO - Iter(val) [250] aAcc: 0.8051, mIoU: 0.4209, mAcc: 0.5521, IoU.wall: 0.7370, IoU.building: 0.7973, IoU.sky: 0.9410, IoU.floor: 0.8041, IoU.tree: 0.7262, IoU.ceiling: 0.8103, IoU.road: 0.8159, IoU.bed : 0.8483, IoU.windowpane: 0.5800, IoU.grass: 0.6616, IoU.cabinet: 0.5431, IoU.sidewalk: 0.5891, IoU.person: 0.7863, IoU.earth: 0.3074, IoU.door: 0.3645, IoU.table: 0.5172, IoU.mountain: 0.5385, IoU.plant: 0.4752, IoU.curtain: 0.6945, IoU.chair: 0.4882, IoU.car: 0.8193, IoU.water: 0.5953, IoU.painting: 0.6520, IoU.sofa: 0.6171, IoU.shelf: 0.4011, IoU.house: 0.4866, IoU.sea: 0.7151, IoU.mirror: 0.5773, IoU.rug: 0.6207, IoU.field: 0.2245, IoU.armchair: 0.3360, IoU.seat: 0.5843, IoU.fence: 0.4316, IoU.desk: 0.3476, IoU.rock: 0.3500, IoU.wardrobe: 0.5061, IoU.lamp: 0.5156, IoU.bathtub: 0.6788, IoU.railing: 0.2933, IoU.cushion: 0.5012, IoU.base: 0.1343, IoU.box: 0.1524, IoU.column: 0.4271, IoU.signboard: 0.3352, IoU.chest of drawers: 0.3214, IoU.counter: 0.2445, IoU.sand: 0.3868, IoU.sink: 0.5933, IoU.skyscraper: 0.4875, IoU.fireplace: 0.6675, IoU.refrigerator: 0.5508, IoU.grandstand: 0.4777, IoU.path: 0.1613, IoU.stairs: 0.3234, IoU.runway: 0.7169, IoU.case: 0.5463, IoU.pool table: 0.9085, IoU.pillow: 0.4854, IoU.screen door: 0.6290, IoU.stairway: 0.3450, IoU.river: 0.3250, IoU.bridge: 0.5400, IoU.bookcase: 0.3723, IoU.blind: 0.4153, IoU.coffee table: 0.5236, IoU.toilet: 0.7713, IoU.flower: 0.2941, IoU.book: 0.4551, IoU.hill: 0.0742, IoU.bench: 0.3672, IoU.countertop: 0.5300, IoU.stove: 0.5747, IoU.palm: 0.4584, IoU.kitchen island: 0.3173, IoU.computer: 0.6798, IoU.swivel chair: 0.3647, IoU.boat: 0.3912, IoU.bar: 0.4599, IoU.arcade machine: 0.6567, IoU.hovel: 0.4109, IoU.bus: 0.7300, IoU.towel: 0.5022, IoU.light: 0.2718, IoU.truck: 0.2861, IoU.tower: 0.3789, IoU.chandelier: 0.5522, IoU.awning: 0.1972, IoU.streetlight: 0.1498, IoU.booth: 0.2858, IoU.television receiver: 0.5921, IoU.airplane: 0.4659, IoU.dirt track: 0.0703, IoU.apparel: 0.2652, IoU.pole: 0.1367, IoU.land: 0.0124, IoU.bannister: 0.0000, IoU.escalator: 0.4104, IoU.ottoman: 0.3695, IoU.bottle: 0.3441, IoU.buffet: 0.3947, IoU.poster: 0.0493, IoU.stage: 0.0864, IoU.van: 0.2706, IoU.ship: 0.3590, IoU.fountain: 0.3481, IoU.conveyer belt: 0.5045, IoU.canopy: 0.2134, IoU.washer: 0.6917, IoU.plaything: 0.1879, IoU.swimming pool: 0.6415, IoU.stool: 0.0288, IoU.barrel: 0.1657, IoU.basket: 0.2965, IoU.waterfall: 0.6247, IoU.tent: 0.8155, IoU.bag: 0.0235, IoU.minibike: 0.6077, IoU.cradle: 0.7255, IoU.oven: 0.0796, IoU.ball: 0.4385, IoU.food: 0.4488, IoU.step: 0.0022, IoU.tank: 0.3387, IoU.trade name: 0.2243, IoU.microwave: 0.4369, IoU.pot: 0.3728, IoU.animal: 0.6304, IoU.bicycle: 0.5026, IoU.lake: 0.0000, IoU.dishwasher: 0.3089, IoU.screen: 0.6351, IoU.blanket: 0.0004, IoU.sculpture: 0.3986, IoU.hood: 0.4128, IoU.sconce: 0.1506, IoU.vase: 0.2050, IoU.traffic light: 0.2025, IoU.tray: 0.0031, IoU.ashcan: 0.2934, IoU.fan: 0.3878, IoU.pier: 0.2851, IoU.crt screen: 0.0000, IoU.plate: 0.4104, IoU.monitor: 0.4901, IoU.bulletin board: 0.2129, IoU.shower: 0.0000, IoU.radiator: 0.4614, IoU.glass: 0.0430, IoU.clock: 0.1894, IoU.flag: 0.3639, Acc.wall: 0.8469, Acc.building: 0.9250, Acc.sky: 0.9758, Acc.floor: 0.8740, Acc.tree: 0.8721, Acc.ceiling: 0.9058, Acc.road: 0.8966, Acc.bed : 0.9386, Acc.windowpane: 0.7367, Acc.grass: 0.8087, Acc.cabinet: 0.6591, Acc.sidewalk: 0.7619, Acc.person: 0.8969, Acc.earth: 0.4194, Acc.door: 0.4563, Acc.table: 0.6694, Acc.mountain: 0.7659, Acc.plant: 0.5633, Acc.curtain: 0.8523, Acc.chair: 0.7114, Acc.car: 0.9139, Acc.water: 0.7482, Acc.painting: 0.8459, Acc.sofa: 0.7788, Acc.shelf: 0.6127, Acc.house: 0.6027, Acc.sea: 0.9254, Acc.mirror: 0.7199, Acc.rug: 0.7554, Acc.field: 0.4589, Acc.armchair: 0.5227, Acc.seat: 0.7655, Acc.fence: 0.6589, Acc.desk: 0.5970, Acc.rock: 0.5015, Acc.wardrobe: 0.7412, Acc.lamp: 0.6610, Acc.bathtub: 0.8417, Acc.railing: 0.3486, Acc.cushion: 0.6679, Acc.base: 0.1828, Acc.box: 0.1842, Acc.column: 0.5409, Acc.signboard: 0.4550, Acc.chest of drawers: 0.5881, Acc.counter: 0.3299, Acc.sand: 0.4995, Acc.sink: 0.6949, Acc.skyscraper: 0.6412, Acc.fireplace: 0.8811, Acc.refrigerator: 0.8588, Acc.grandstand: 0.7595, Acc.path: 0.2146, Acc.stairs: 0.3992, Acc.runway: 0.9630, Acc.case: 0.6448, Acc.pool table: 0.9597, Acc.pillow: 0.5746, Acc.screen door: 0.7737, Acc.stairway: 0.4308, Acc.river: 0.4742, Acc.bridge: 0.7193, Acc.bookcase: 0.5697, Acc.blind: 0.5892, Acc.coffee table: 0.8119, Acc.toilet: 0.8861, Acc.flower: 0.4106, Acc.book: 0.6229, Acc.hill: 0.1697, Acc.bench: 0.4525, Acc.countertop: 0.7179, Acc.stove: 0.8245, Acc.palm: 0.6534, Acc.kitchen island: 0.6170, Acc.computer: 0.8802, Acc.swivel chair: 0.4814, Acc.boat: 0.4304, Acc.bar: 0.6558, Acc.arcade machine: 0.8144, Acc.hovel: 0.6669, Acc.bus: 0.8547, Acc.towel: 0.7157, Acc.light: 0.2863, Acc.truck: 0.3546, Acc.tower: 0.6497, Acc.chandelier: 0.8157, Acc.awning: 0.2280, Acc.streetlight: 0.1848, Acc.booth: 0.3611, Acc.television receiver: 0.7147, Acc.airplane: 0.6332, Acc.dirt track: 0.1644, Acc.apparel: 0.5002, Acc.pole: 0.1747, Acc.land: 0.0145, Acc.bannister: 0.0000, Acc.escalator: 0.6107, Acc.ottoman: 0.5032, Acc.bottle: 0.4942, Acc.buffet: 0.5768, Acc.poster: 0.0680, Acc.stage: 0.1997, Acc.van: 0.3610, Acc.ship: 0.5817, Acc.fountain: 0.3855, Acc.conveyer belt: 0.8091, Acc.canopy: 0.4394, Acc.washer: 0.7821, Acc.plaything: 0.2935, Acc.swimming pool: 0.8800, Acc.stool: 0.0319, Acc.barrel: 0.6080, Acc.basket: 0.3840, Acc.waterfall: 0.9303, Acc.tent: 0.9955, Acc.bag: 0.0240, Acc.minibike: 0.7727, Acc.cradle: 0.9696, Acc.oven: 0.1815, Acc.ball: 0.6471, Acc.food: 0.5372, Acc.step: 0.0022, Acc.tank: 0.4175, Acc.trade name: 0.2492, Acc.microwave: 0.4887, Acc.pot: 0.4277, Acc.animal: 0.6813, Acc.bicycle: 0.6953, Acc.lake: 0.0000, Acc.dishwasher: 0.3907, Acc.screen: 0.8945, Acc.blanket: 0.0004, Acc.sculpture: 0.4905, Acc.hood: 0.5217, Acc.sconce: 0.1590, Acc.vase: 0.3733, Acc.traffic light: 0.2942, Acc.tray: 0.0034, Acc.ashcan: 0.3503, Acc.fan: 0.4957, Acc.pier: 0.3339, Acc.crt screen: 0.0000, Acc.plate: 0.5247, Acc.monitor: 0.6632, Acc.bulletin board: 0.2386, Acc.shower: 0.0000, Acc.radiator: 0.5009, Acc.glass: 0.0445, Acc.clock: 0.2297, Acc.flag: 0.3936 +2022-06-19 02:27:52,472 - mmseg - INFO - Iter [16050/160000] lr: 2.771e-05, eta: 11:16:53, time: 1.990, data_time: 1.718, memory: 56924, decode.loss_ce: 0.5186, decode.acc_seg: 64.1269, aux.loss_ce: 0.2278, aux.acc_seg: 63.3607, loss: 0.7464 +2022-06-19 02:28:05,814 - mmseg - INFO - Iter [16100/160000] lr: 2.770e-05, eta: 11:16:32, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5190, decode.acc_seg: 64.7451, aux.loss_ce: 0.2239, aux.acc_seg: 63.7797, loss: 0.7429 +2022-06-19 02:28:19,310 - mmseg - INFO - Iter [16150/160000] lr: 2.769e-05, eta: 11:16:13, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5097, decode.acc_seg: 65.8741, aux.loss_ce: 0.2239, aux.acc_seg: 65.0848, loss: 0.7336 +2022-06-19 02:28:32,732 - mmseg - INFO - Iter [16200/160000] lr: 2.768e-05, eta: 11:15:53, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5648, decode.acc_seg: 65.6961, aux.loss_ce: 0.2461, aux.acc_seg: 64.5789, loss: 0.8109 +2022-06-19 02:28:46,377 - mmseg - INFO - Iter [16250/160000] lr: 2.767e-05, eta: 11:15:35, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5462, decode.acc_seg: 64.4896, aux.loss_ce: 0.2381, aux.acc_seg: 63.5148, loss: 0.7843 +2022-06-19 02:28:59,681 - mmseg - INFO - Iter [16300/160000] lr: 2.766e-05, eta: 11:15:13, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5702, decode.acc_seg: 64.6445, aux.loss_ce: 0.2475, aux.acc_seg: 63.9915, loss: 0.8177 +2022-06-19 02:29:13,109 - mmseg - INFO - Iter [16350/160000] lr: 2.765e-05, eta: 11:14:54, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5348, decode.acc_seg: 64.8217, aux.loss_ce: 0.2307, aux.acc_seg: 63.9668, loss: 0.7655 +2022-06-19 02:29:26,849 - mmseg - INFO - Iter [16400/160000] lr: 2.764e-05, eta: 11:14:36, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5103, decode.acc_seg: 65.8154, aux.loss_ce: 0.2212, aux.acc_seg: 64.9923, loss: 0.7315 +2022-06-19 02:29:42,515 - mmseg - INFO - Iter [16450/160000] lr: 2.763e-05, eta: 11:14:36, time: 0.313, data_time: 0.049, memory: 56924, decode.loss_ce: 0.5509, decode.acc_seg: 66.8668, aux.loss_ce: 0.2411, aux.acc_seg: 66.0316, loss: 0.7920 +2022-06-19 02:29:55,872 - mmseg - INFO - Iter [16500/160000] lr: 2.762e-05, eta: 11:14:15, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5169, decode.acc_seg: 64.2798, aux.loss_ce: 0.2227, aux.acc_seg: 63.7093, loss: 0.7396 +2022-06-19 02:30:09,300 - mmseg - INFO - Iter [16550/160000] lr: 2.761e-05, eta: 11:13:55, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5461, decode.acc_seg: 64.5999, aux.loss_ce: 0.2393, aux.acc_seg: 63.6047, loss: 0.7854 +2022-06-19 02:30:22,649 - mmseg - INFO - Iter [16600/160000] lr: 2.761e-05, eta: 11:13:35, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4920, decode.acc_seg: 65.8228, aux.loss_ce: 0.2164, aux.acc_seg: 64.8321, loss: 0.7084 +2022-06-19 02:30:35,978 - mmseg - INFO - Iter [16650/160000] lr: 2.760e-05, eta: 11:13:14, time: 0.266, data_time: 0.005, memory: 56924, decode.loss_ce: 0.5161, decode.acc_seg: 65.8183, aux.loss_ce: 0.2263, aux.acc_seg: 64.7570, loss: 0.7424 +2022-06-19 02:30:49,313 - mmseg - INFO - Iter [16700/160000] lr: 2.759e-05, eta: 11:12:54, time: 0.267, data_time: 0.005, memory: 56924, decode.loss_ce: 0.5507, decode.acc_seg: 62.9883, aux.loss_ce: 0.2421, aux.acc_seg: 61.9167, loss: 0.7928 +2022-06-19 02:31:02,658 - mmseg - INFO - Iter [16750/160000] lr: 2.758e-05, eta: 11:12:33, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4856, decode.acc_seg: 65.3486, aux.loss_ce: 0.2123, aux.acc_seg: 64.3710, loss: 0.6979 +2022-06-19 02:31:16,391 - mmseg - INFO - Iter [16800/160000] lr: 2.757e-05, eta: 11:12:16, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5259, decode.acc_seg: 65.5915, aux.loss_ce: 0.2302, aux.acc_seg: 64.6709, loss: 0.7562 +2022-06-19 02:31:29,918 - mmseg - INFO - Iter [16850/160000] lr: 2.756e-05, eta: 11:11:57, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5071, decode.acc_seg: 65.3663, aux.loss_ce: 0.2195, aux.acc_seg: 64.4082, loss: 0.7265 +2022-06-19 02:31:43,370 - mmseg - INFO - Iter [16900/160000] lr: 2.755e-05, eta: 11:11:38, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5140, decode.acc_seg: 65.6370, aux.loss_ce: 0.2240, aux.acc_seg: 64.7325, loss: 0.7379 +2022-06-19 02:31:56,614 - mmseg - INFO - Iter [16950/160000] lr: 2.754e-05, eta: 11:11:17, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5442, decode.acc_seg: 63.8846, aux.loss_ce: 0.2371, aux.acc_seg: 63.0889, loss: 0.7814 +2022-06-19 02:32:10,369 - mmseg - INFO - Saving checkpoint at 17000 iterations +2022-06-19 02:32:13,340 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 02:32:13,340 - mmseg - INFO - Iter [17000/160000] lr: 2.753e-05, eta: 11:11:25, time: 0.335, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5360, decode.acc_seg: 64.4154, aux.loss_ce: 0.2337, aux.acc_seg: 63.7079, loss: 0.7698 +2022-06-19 02:32:26,742 - mmseg - INFO - Iter [17050/160000] lr: 2.752e-05, eta: 11:11:05, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5123, decode.acc_seg: 66.2285, aux.loss_ce: 0.2235, aux.acc_seg: 65.3632, loss: 0.7358 +2022-06-19 02:32:39,834 - mmseg - INFO - Iter [17100/160000] lr: 2.751e-05, eta: 11:10:43, time: 0.262, data_time: 0.003, memory: 56924, decode.loss_ce: 0.5064, decode.acc_seg: 65.5506, aux.loss_ce: 0.2197, aux.acc_seg: 64.5514, loss: 0.7261 +2022-06-19 02:32:53,400 - mmseg - INFO - Iter [17150/160000] lr: 2.750e-05, eta: 11:10:24, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5205, decode.acc_seg: 65.7872, aux.loss_ce: 0.2279, aux.acc_seg: 64.8838, loss: 0.7485 +2022-06-19 02:33:07,176 - mmseg - INFO - Iter [17200/160000] lr: 2.749e-05, eta: 11:10:08, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5460, decode.acc_seg: 64.6910, aux.loss_ce: 0.2348, aux.acc_seg: 64.1737, loss: 0.7809 +2022-06-19 02:33:20,673 - mmseg - INFO - Iter [17250/160000] lr: 2.748e-05, eta: 11:09:49, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5451, decode.acc_seg: 65.1772, aux.loss_ce: 0.2381, aux.acc_seg: 64.1761, loss: 0.7832 +2022-06-19 02:33:33,999 - mmseg - INFO - Iter [17300/160000] lr: 2.747e-05, eta: 11:09:29, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5618, decode.acc_seg: 64.3435, aux.loss_ce: 0.2467, aux.acc_seg: 63.2279, loss: 0.8085 +2022-06-19 02:33:47,402 - mmseg - INFO - Iter [17350/160000] lr: 2.746e-05, eta: 11:09:09, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5033, decode.acc_seg: 63.5076, aux.loss_ce: 0.2199, aux.acc_seg: 62.4117, loss: 0.7232 +2022-06-19 02:34:00,763 - mmseg - INFO - Iter [17400/160000] lr: 2.745e-05, eta: 11:08:49, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5227, decode.acc_seg: 64.1928, aux.loss_ce: 0.2285, aux.acc_seg: 63.5705, loss: 0.7512 +2022-06-19 02:34:14,231 - mmseg - INFO - Iter [17450/160000] lr: 2.744e-05, eta: 11:08:30, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5278, decode.acc_seg: 64.9857, aux.loss_ce: 0.2307, aux.acc_seg: 63.8445, loss: 0.7585 +2022-06-19 02:34:27,665 - mmseg - INFO - Iter [17500/160000] lr: 2.743e-05, eta: 11:08:11, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5024, decode.acc_seg: 64.5673, aux.loss_ce: 0.2182, aux.acc_seg: 63.8959, loss: 0.7205 +2022-06-19 02:34:41,317 - mmseg - INFO - Iter [17550/160000] lr: 2.742e-05, eta: 11:07:53, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5161, decode.acc_seg: 65.6026, aux.loss_ce: 0.2276, aux.acc_seg: 64.4788, loss: 0.7437 +2022-06-19 02:34:54,827 - mmseg - INFO - Iter [17600/160000] lr: 2.741e-05, eta: 11:07:35, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5333, decode.acc_seg: 63.8567, aux.loss_ce: 0.2332, aux.acc_seg: 62.7090, loss: 0.7665 +2022-06-19 02:35:08,101 - mmseg - INFO - Iter [17650/160000] lr: 2.740e-05, eta: 11:07:14, time: 0.265, data_time: 0.003, memory: 56924, decode.loss_ce: 0.5297, decode.acc_seg: 65.5661, aux.loss_ce: 0.2279, aux.acc_seg: 64.7107, loss: 0.7576 +2022-06-19 02:35:23,932 - mmseg - INFO - Iter [17700/160000] lr: 2.739e-05, eta: 11:07:15, time: 0.317, data_time: 0.048, memory: 56924, decode.loss_ce: 0.5026, decode.acc_seg: 65.3606, aux.loss_ce: 0.2199, aux.acc_seg: 64.3572, loss: 0.7225 +2022-06-19 02:35:37,201 - mmseg - INFO - Iter [17750/160000] lr: 2.738e-05, eta: 11:06:54, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5057, decode.acc_seg: 64.6121, aux.loss_ce: 0.2234, aux.acc_seg: 63.6193, loss: 0.7292 +2022-06-19 02:35:50,913 - mmseg - INFO - Iter [17800/160000] lr: 2.737e-05, eta: 11:06:37, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5042, decode.acc_seg: 66.1618, aux.loss_ce: 0.2210, aux.acc_seg: 64.9027, loss: 0.7251 +2022-06-19 02:36:04,434 - mmseg - INFO - Iter [17850/160000] lr: 2.736e-05, eta: 11:06:19, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.5030, decode.acc_seg: 65.2174, aux.loss_ce: 0.2189, aux.acc_seg: 64.3222, loss: 0.7219 +2022-06-19 02:36:18,117 - mmseg - INFO - Iter [17900/160000] lr: 2.735e-05, eta: 11:06:02, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4867, decode.acc_seg: 64.9076, aux.loss_ce: 0.2122, aux.acc_seg: 63.9486, loss: 0.6988 +2022-06-19 02:36:31,763 - mmseg - INFO - Iter [17950/160000] lr: 2.735e-05, eta: 11:05:44, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5160, decode.acc_seg: 66.6990, aux.loss_ce: 0.2253, aux.acc_seg: 65.7384, loss: 0.7413 +2022-06-19 02:36:45,424 - mmseg - INFO - Saving checkpoint at 18000 iterations +2022-06-19 02:36:48,643 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 02:36:48,643 - mmseg - INFO - Iter [18000/160000] lr: 2.734e-05, eta: 11:05:53, time: 0.338, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5294, decode.acc_seg: 65.5544, aux.loss_ce: 0.2291, aux.acc_seg: 64.8977, loss: 0.7586 +2022-06-19 02:37:01,986 - mmseg - INFO - Iter [18050/160000] lr: 2.733e-05, eta: 11:05:33, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5080, decode.acc_seg: 65.9978, aux.loss_ce: 0.2188, aux.acc_seg: 65.4658, loss: 0.7269 +2022-06-19 02:37:15,651 - mmseg - INFO - Iter [18100/160000] lr: 2.732e-05, eta: 11:05:16, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4733, decode.acc_seg: 66.0745, aux.loss_ce: 0.2060, aux.acc_seg: 65.1362, loss: 0.6794 +2022-06-19 02:37:29,084 - mmseg - INFO - Iter [18150/160000] lr: 2.731e-05, eta: 11:04:57, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4839, decode.acc_seg: 65.0490, aux.loss_ce: 0.2137, aux.acc_seg: 64.0743, loss: 0.6975 +2022-06-19 02:37:42,649 - mmseg - INFO - Iter [18200/160000] lr: 2.730e-05, eta: 11:04:39, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5084, decode.acc_seg: 64.2143, aux.loss_ce: 0.2222, aux.acc_seg: 63.3973, loss: 0.7306 +2022-06-19 02:37:56,229 - mmseg - INFO - Iter [18250/160000] lr: 2.729e-05, eta: 11:04:21, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4963, decode.acc_seg: 65.2187, aux.loss_ce: 0.2176, aux.acc_seg: 64.2726, loss: 0.7139 +2022-06-19 02:38:09,700 - mmseg - INFO - Iter [18300/160000] lr: 2.728e-05, eta: 11:04:02, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5077, decode.acc_seg: 65.7716, aux.loss_ce: 0.2205, aux.acc_seg: 65.0124, loss: 0.7282 +2022-06-19 02:38:23,058 - mmseg - INFO - Iter [18350/160000] lr: 2.727e-05, eta: 11:03:43, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4986, decode.acc_seg: 65.3832, aux.loss_ce: 0.2172, aux.acc_seg: 64.5555, loss: 0.7158 +2022-06-19 02:38:36,272 - mmseg - INFO - Iter [18400/160000] lr: 2.726e-05, eta: 11:03:22, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4897, decode.acc_seg: 66.4641, aux.loss_ce: 0.2129, aux.acc_seg: 65.6373, loss: 0.7025 +2022-06-19 02:38:49,781 - mmseg - INFO - Iter [18450/160000] lr: 2.725e-05, eta: 11:03:04, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5087, decode.acc_seg: 66.1569, aux.loss_ce: 0.2225, aux.acc_seg: 64.9115, loss: 0.7313 +2022-06-19 02:39:03,338 - mmseg - INFO - Iter [18500/160000] lr: 2.724e-05, eta: 11:02:46, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5051, decode.acc_seg: 64.7052, aux.loss_ce: 0.2193, aux.acc_seg: 63.7946, loss: 0.7244 +2022-06-19 02:39:16,830 - mmseg - INFO - Iter [18550/160000] lr: 2.723e-05, eta: 11:02:28, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.5456, decode.acc_seg: 64.6823, aux.loss_ce: 0.2371, aux.acc_seg: 63.9985, loss: 0.7827 +2022-06-19 02:39:30,425 - mmseg - INFO - Iter [18600/160000] lr: 2.722e-05, eta: 11:02:10, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4946, decode.acc_seg: 65.2155, aux.loss_ce: 0.2142, aux.acc_seg: 64.5644, loss: 0.7087 +2022-06-19 02:39:44,127 - mmseg - INFO - Iter [18650/160000] lr: 2.721e-05, eta: 11:01:54, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5120, decode.acc_seg: 66.3182, aux.loss_ce: 0.2222, aux.acc_seg: 65.5699, loss: 0.7343 +2022-06-19 02:39:57,707 - mmseg - INFO - Iter [18700/160000] lr: 2.720e-05, eta: 11:01:36, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5237, decode.acc_seg: 65.6275, aux.loss_ce: 0.2292, aux.acc_seg: 64.6157, loss: 0.7529 +2022-06-19 02:40:11,211 - mmseg - INFO - Iter [18750/160000] lr: 2.719e-05, eta: 11:01:18, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5101, decode.acc_seg: 65.6438, aux.loss_ce: 0.2222, aux.acc_seg: 64.6379, loss: 0.7323 +2022-06-19 02:40:24,798 - mmseg - INFO - Iter [18800/160000] lr: 2.718e-05, eta: 11:01:00, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5331, decode.acc_seg: 64.8717, aux.loss_ce: 0.2331, aux.acc_seg: 63.7388, loss: 0.7663 +2022-06-19 02:40:38,416 - mmseg - INFO - Iter [18850/160000] lr: 2.717e-05, eta: 11:00:43, time: 0.272, data_time: 0.003, memory: 56924, decode.loss_ce: 0.5689, decode.acc_seg: 64.3772, aux.loss_ce: 0.2454, aux.acc_seg: 63.8581, loss: 0.8143 +2022-06-19 02:40:51,803 - mmseg - INFO - Iter [18900/160000] lr: 2.716e-05, eta: 11:00:24, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5412, decode.acc_seg: 64.7604, aux.loss_ce: 0.2326, aux.acc_seg: 64.0887, loss: 0.7738 +2022-06-19 02:41:07,355 - mmseg - INFO - Iter [18950/160000] lr: 2.715e-05, eta: 11:00:21, time: 0.311, data_time: 0.051, memory: 56924, decode.loss_ce: 0.5230, decode.acc_seg: 65.0627, aux.loss_ce: 0.2264, aux.acc_seg: 64.1484, loss: 0.7495 +2022-06-19 02:41:20,915 - mmseg - INFO - Saving checkpoint at 19000 iterations +2022-06-19 02:41:23,802 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 02:41:23,802 - mmseg - INFO - Iter [19000/160000] lr: 2.714e-05, eta: 11:00:25, time: 0.329, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4946, decode.acc_seg: 65.3789, aux.loss_ce: 0.2166, aux.acc_seg: 64.3898, loss: 0.7113 +2022-06-19 02:41:37,239 - mmseg - INFO - Iter [19050/160000] lr: 2.713e-05, eta: 11:00:07, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4849, decode.acc_seg: 66.2332, aux.loss_ce: 0.2141, aux.acc_seg: 65.3597, loss: 0.6990 +2022-06-19 02:41:50,511 - mmseg - INFO - Iter [19100/160000] lr: 2.712e-05, eta: 10:59:47, time: 0.265, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4811, decode.acc_seg: 65.9137, aux.loss_ce: 0.2116, aux.acc_seg: 65.0301, loss: 0.6927 +2022-06-19 02:42:03,954 - mmseg - INFO - Iter [19150/160000] lr: 2.711e-05, eta: 10:59:28, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5404, decode.acc_seg: 65.6213, aux.loss_ce: 0.2337, aux.acc_seg: 64.8864, loss: 0.7740 +2022-06-19 02:42:17,544 - mmseg - INFO - Iter [19200/160000] lr: 2.710e-05, eta: 10:59:11, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4990, decode.acc_seg: 66.7633, aux.loss_ce: 0.2198, aux.acc_seg: 65.7127, loss: 0.7188 +2022-06-19 02:42:30,837 - mmseg - INFO - Iter [19250/160000] lr: 2.710e-05, eta: 10:58:51, time: 0.266, data_time: 0.005, memory: 56924, decode.loss_ce: 0.4947, decode.acc_seg: 65.9556, aux.loss_ce: 0.2187, aux.acc_seg: 64.7828, loss: 0.7134 +2022-06-19 02:42:44,296 - mmseg - INFO - Iter [19300/160000] lr: 2.709e-05, eta: 10:58:33, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5327, decode.acc_seg: 64.9232, aux.loss_ce: 0.2335, aux.acc_seg: 63.8021, loss: 0.7662 +2022-06-19 02:42:57,991 - mmseg - INFO - Iter [19350/160000] lr: 2.708e-05, eta: 10:58:16, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4901, decode.acc_seg: 64.2299, aux.loss_ce: 0.2135, aux.acc_seg: 63.7814, loss: 0.7036 +2022-06-19 02:43:11,498 - mmseg - INFO - Iter [19400/160000] lr: 2.707e-05, eta: 10:57:59, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4881, decode.acc_seg: 66.3920, aux.loss_ce: 0.2130, aux.acc_seg: 65.6444, loss: 0.7011 +2022-06-19 02:43:25,071 - mmseg - INFO - Iter [19450/160000] lr: 2.706e-05, eta: 10:57:41, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5000, decode.acc_seg: 65.7304, aux.loss_ce: 0.2234, aux.acc_seg: 64.4682, loss: 0.7235 +2022-06-19 02:43:38,456 - mmseg - INFO - Iter [19500/160000] lr: 2.705e-05, eta: 10:57:22, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4870, decode.acc_seg: 66.2054, aux.loss_ce: 0.2140, aux.acc_seg: 65.2475, loss: 0.7010 +2022-06-19 02:43:52,004 - mmseg - INFO - Iter [19550/160000] lr: 2.704e-05, eta: 10:57:05, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4697, decode.acc_seg: 65.9604, aux.loss_ce: 0.2074, aux.acc_seg: 65.0484, loss: 0.6771 +2022-06-19 02:44:05,408 - mmseg - INFO - Iter [19600/160000] lr: 2.703e-05, eta: 10:56:46, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4860, decode.acc_seg: 63.9317, aux.loss_ce: 0.2136, aux.acc_seg: 62.8517, loss: 0.6996 +2022-06-19 02:44:18,854 - mmseg - INFO - Iter [19650/160000] lr: 2.702e-05, eta: 10:56:28, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4727, decode.acc_seg: 65.4738, aux.loss_ce: 0.2092, aux.acc_seg: 64.5319, loss: 0.6819 +2022-06-19 02:44:32,021 - mmseg - INFO - Iter [19700/160000] lr: 2.701e-05, eta: 10:56:08, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4948, decode.acc_seg: 65.8641, aux.loss_ce: 0.2151, aux.acc_seg: 65.0576, loss: 0.7099 +2022-06-19 02:44:45,435 - mmseg - INFO - Iter [19750/160000] lr: 2.700e-05, eta: 10:55:49, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4846, decode.acc_seg: 66.5301, aux.loss_ce: 0.2110, aux.acc_seg: 65.6027, loss: 0.6956 +2022-06-19 02:44:59,080 - mmseg - INFO - Iter [19800/160000] lr: 2.699e-05, eta: 10:55:33, time: 0.273, data_time: 0.003, memory: 56924, decode.loss_ce: 0.5071, decode.acc_seg: 65.0457, aux.loss_ce: 0.2185, aux.acc_seg: 64.3888, loss: 0.7255 +2022-06-19 02:45:12,724 - mmseg - INFO - Iter [19850/160000] lr: 2.698e-05, eta: 10:55:16, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4800, decode.acc_seg: 65.9469, aux.loss_ce: 0.2090, aux.acc_seg: 64.9097, loss: 0.6890 +2022-06-19 02:45:26,167 - mmseg - INFO - Iter [19900/160000] lr: 2.697e-05, eta: 10:54:58, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5226, decode.acc_seg: 65.4556, aux.loss_ce: 0.2277, aux.acc_seg: 64.5175, loss: 0.7503 +2022-06-19 02:45:39,802 - mmseg - INFO - Iter [19950/160000] lr: 2.696e-05, eta: 10:54:41, time: 0.272, data_time: 0.003, memory: 56924, decode.loss_ce: 0.5139, decode.acc_seg: 65.5705, aux.loss_ce: 0.2253, aux.acc_seg: 64.5824, loss: 0.7393 +2022-06-19 02:45:53,148 - mmseg - INFO - Saving checkpoint at 20000 iterations +2022-06-19 02:45:56,023 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 02:45:56,024 - mmseg - INFO - Iter [20000/160000] lr: 2.695e-05, eta: 10:54:42, time: 0.325, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4810, decode.acc_seg: 64.9380, aux.loss_ce: 0.2097, aux.acc_seg: 63.9503, loss: 0.6907 +2022-06-19 02:46:09,554 - mmseg - INFO - Iter [20050/160000] lr: 2.694e-05, eta: 10:54:25, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4740, decode.acc_seg: 66.9897, aux.loss_ce: 0.2045, aux.acc_seg: 66.1829, loss: 0.6786 +2022-06-19 02:46:23,020 - mmseg - INFO - Iter [20100/160000] lr: 2.693e-05, eta: 10:54:07, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5065, decode.acc_seg: 65.0240, aux.loss_ce: 0.2193, aux.acc_seg: 64.3161, loss: 0.7258 +2022-06-19 02:46:36,445 - mmseg - INFO - Iter [20150/160000] lr: 2.692e-05, eta: 10:53:49, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5266, decode.acc_seg: 65.6308, aux.loss_ce: 0.2284, aux.acc_seg: 64.6996, loss: 0.7549 +2022-06-19 02:46:49,703 - mmseg - INFO - Iter [20200/160000] lr: 2.691e-05, eta: 10:53:29, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5219, decode.acc_seg: 64.9603, aux.loss_ce: 0.2251, aux.acc_seg: 64.2295, loss: 0.7470 +2022-06-19 02:47:05,595 - mmseg - INFO - Iter [20250/160000] lr: 2.690e-05, eta: 10:53:28, time: 0.318, data_time: 0.049, memory: 56924, decode.loss_ce: 0.5356, decode.acc_seg: 64.1967, aux.loss_ce: 0.2318, aux.acc_seg: 63.3308, loss: 0.7674 +2022-06-19 02:47:19,130 - mmseg - INFO - Iter [20300/160000] lr: 2.689e-05, eta: 10:53:11, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5034, decode.acc_seg: 64.6587, aux.loss_ce: 0.2204, aux.acc_seg: 63.6643, loss: 0.7238 +2022-06-19 02:47:32,433 - mmseg - INFO - Iter [20350/160000] lr: 2.688e-05, eta: 10:52:52, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4811, decode.acc_seg: 66.1593, aux.loss_ce: 0.2138, aux.acc_seg: 65.1010, loss: 0.6949 +2022-06-19 02:47:45,872 - mmseg - INFO - Iter [20400/160000] lr: 2.687e-05, eta: 10:52:34, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4678, decode.acc_seg: 66.3503, aux.loss_ce: 0.2049, aux.acc_seg: 65.2756, loss: 0.6727 +2022-06-19 02:47:59,375 - mmseg - INFO - Iter [20450/160000] lr: 2.686e-05, eta: 10:52:16, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4662, decode.acc_seg: 66.6827, aux.loss_ce: 0.2096, aux.acc_seg: 65.3333, loss: 0.6758 +2022-06-19 02:48:12,882 - mmseg - INFO - Iter [20500/160000] lr: 2.685e-05, eta: 10:51:59, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5101, decode.acc_seg: 65.9512, aux.loss_ce: 0.2259, aux.acc_seg: 64.7485, loss: 0.7360 +2022-06-19 02:48:26,391 - mmseg - INFO - Iter [20550/160000] lr: 2.684e-05, eta: 10:51:41, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4926, decode.acc_seg: 67.6284, aux.loss_ce: 0.2185, aux.acc_seg: 66.3437, loss: 0.7111 +2022-06-19 02:48:40,117 - mmseg - INFO - Iter [20600/160000] lr: 2.684e-05, eta: 10:51:25, time: 0.274, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4568, decode.acc_seg: 66.3323, aux.loss_ce: 0.2022, aux.acc_seg: 65.2782, loss: 0.6591 +2022-06-19 02:48:53,503 - mmseg - INFO - Iter [20650/160000] lr: 2.683e-05, eta: 10:51:07, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4950, decode.acc_seg: 65.7983, aux.loss_ce: 0.2141, aux.acc_seg: 65.0625, loss: 0.7091 +2022-06-19 02:49:06,826 - mmseg - INFO - Iter [20700/160000] lr: 2.682e-05, eta: 10:50:48, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4914, decode.acc_seg: 67.4963, aux.loss_ce: 0.2154, aux.acc_seg: 66.4433, loss: 0.7068 +2022-06-19 02:49:20,292 - mmseg - INFO - Iter [20750/160000] lr: 2.681e-05, eta: 10:50:31, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4961, decode.acc_seg: 65.7016, aux.loss_ce: 0.2180, aux.acc_seg: 64.7458, loss: 0.7141 +2022-06-19 02:49:33,801 - mmseg - INFO - Iter [20800/160000] lr: 2.680e-05, eta: 10:50:13, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5041, decode.acc_seg: 66.4402, aux.loss_ce: 0.2195, aux.acc_seg: 65.6792, loss: 0.7236 +2022-06-19 02:49:47,079 - mmseg - INFO - Iter [20850/160000] lr: 2.679e-05, eta: 10:49:54, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4816, decode.acc_seg: 66.0966, aux.loss_ce: 0.2083, aux.acc_seg: 65.2914, loss: 0.6899 +2022-06-19 02:50:00,553 - mmseg - INFO - Iter [20900/160000] lr: 2.678e-05, eta: 10:49:37, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5121, decode.acc_seg: 65.0500, aux.loss_ce: 0.2242, aux.acc_seg: 64.0601, loss: 0.7364 +2022-06-19 02:50:14,046 - mmseg - INFO - Iter [20950/160000] lr: 2.677e-05, eta: 10:49:19, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4829, decode.acc_seg: 66.4081, aux.loss_ce: 0.2091, aux.acc_seg: 65.6545, loss: 0.6920 +2022-06-19 02:50:27,387 - mmseg - INFO - Saving checkpoint at 21000 iterations +2022-06-19 02:50:30,316 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 02:50:30,317 - mmseg - INFO - Iter [21000/160000] lr: 2.676e-05, eta: 10:49:20, time: 0.325, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5065, decode.acc_seg: 65.3037, aux.loss_ce: 0.2204, aux.acc_seg: 64.3027, loss: 0.7269 +2022-06-19 02:50:43,911 - mmseg - INFO - Iter [21050/160000] lr: 2.675e-05, eta: 10:49:03, time: 0.272, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4771, decode.acc_seg: 66.3345, aux.loss_ce: 0.2084, aux.acc_seg: 65.5120, loss: 0.6856 +2022-06-19 02:50:57,370 - mmseg - INFO - Iter [21100/160000] lr: 2.674e-05, eta: 10:48:46, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5169, decode.acc_seg: 65.1472, aux.loss_ce: 0.2241, aux.acc_seg: 64.4555, loss: 0.7409 +2022-06-19 02:51:10,822 - mmseg - INFO - Iter [21150/160000] lr: 2.673e-05, eta: 10:48:28, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5000, decode.acc_seg: 66.0607, aux.loss_ce: 0.2163, aux.acc_seg: 65.3681, loss: 0.7163 +2022-06-19 02:51:24,439 - mmseg - INFO - Iter [21200/160000] lr: 2.672e-05, eta: 10:48:11, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4960, decode.acc_seg: 66.3294, aux.loss_ce: 0.2164, aux.acc_seg: 65.3748, loss: 0.7124 +2022-06-19 02:51:37,702 - mmseg - INFO - Iter [21250/160000] lr: 2.671e-05, eta: 10:47:52, time: 0.265, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4955, decode.acc_seg: 65.5237, aux.loss_ce: 0.2171, aux.acc_seg: 64.6474, loss: 0.7126 +2022-06-19 02:51:51,092 - mmseg - INFO - Iter [21300/160000] lr: 2.670e-05, eta: 10:47:34, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5016, decode.acc_seg: 66.0521, aux.loss_ce: 0.2168, aux.acc_seg: 65.3524, loss: 0.7183 +2022-06-19 02:52:04,717 - mmseg - INFO - Iter [21350/160000] lr: 2.669e-05, eta: 10:47:18, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4677, decode.acc_seg: 67.4501, aux.loss_ce: 0.2023, aux.acc_seg: 66.7225, loss: 0.6700 +2022-06-19 02:52:18,355 - mmseg - INFO - Iter [21400/160000] lr: 2.668e-05, eta: 10:47:01, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4678, decode.acc_seg: 65.7627, aux.loss_ce: 0.2047, aux.acc_seg: 64.7957, loss: 0.6725 +2022-06-19 02:52:31,654 - mmseg - INFO - Iter [21450/160000] lr: 2.667e-05, eta: 10:46:43, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4960, decode.acc_seg: 66.2314, aux.loss_ce: 0.2168, aux.acc_seg: 65.5812, loss: 0.7128 +2022-06-19 02:52:47,507 - mmseg - INFO - Iter [21500/160000] lr: 2.666e-05, eta: 10:46:41, time: 0.317, data_time: 0.049, memory: 56924, decode.loss_ce: 0.4563, decode.acc_seg: 65.5758, aux.loss_ce: 0.2018, aux.acc_seg: 64.5180, loss: 0.6581 +2022-06-19 02:53:00,949 - mmseg - INFO - Iter [21550/160000] lr: 2.665e-05, eta: 10:46:23, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4601, decode.acc_seg: 67.4476, aux.loss_ce: 0.2026, aux.acc_seg: 66.5456, loss: 0.6627 +2022-06-19 02:53:14,473 - mmseg - INFO - Iter [21600/160000] lr: 2.664e-05, eta: 10:46:06, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4878, decode.acc_seg: 65.4291, aux.loss_ce: 0.2166, aux.acc_seg: 64.5669, loss: 0.7044 +2022-06-19 02:53:27,886 - mmseg - INFO - Iter [21650/160000] lr: 2.663e-05, eta: 10:45:48, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4570, decode.acc_seg: 67.2633, aux.loss_ce: 0.2010, aux.acc_seg: 66.3454, loss: 0.6581 +2022-06-19 02:53:41,411 - mmseg - INFO - Iter [21700/160000] lr: 2.662e-05, eta: 10:45:31, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4992, decode.acc_seg: 65.7797, aux.loss_ce: 0.2198, aux.acc_seg: 64.7654, loss: 0.7189 +2022-06-19 02:53:54,977 - mmseg - INFO - Iter [21750/160000] lr: 2.661e-05, eta: 10:45:14, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4839, decode.acc_seg: 66.8664, aux.loss_ce: 0.2122, aux.acc_seg: 65.7498, loss: 0.6961 +2022-06-19 02:54:08,379 - mmseg - INFO - Iter [21800/160000] lr: 2.660e-05, eta: 10:44:57, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4968, decode.acc_seg: 65.3226, aux.loss_ce: 0.2180, aux.acc_seg: 64.4355, loss: 0.7148 +2022-06-19 02:54:22,028 - mmseg - INFO - Iter [21850/160000] lr: 2.659e-05, eta: 10:44:40, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4863, decode.acc_seg: 65.6284, aux.loss_ce: 0.2158, aux.acc_seg: 64.5492, loss: 0.7021 +2022-06-19 02:54:35,435 - mmseg - INFO - Iter [21900/160000] lr: 2.658e-05, eta: 10:44:23, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4736, decode.acc_seg: 67.4510, aux.loss_ce: 0.2087, aux.acc_seg: 66.4270, loss: 0.6823 +2022-06-19 02:54:48,951 - mmseg - INFO - Iter [21950/160000] lr: 2.658e-05, eta: 10:44:06, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4794, decode.acc_seg: 66.4022, aux.loss_ce: 0.2115, aux.acc_seg: 65.3261, loss: 0.6910 +2022-06-19 02:55:02,499 - mmseg - INFO - Saving checkpoint at 22000 iterations +2022-06-19 02:55:05,442 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 02:55:05,443 - mmseg - INFO - Iter [22000/160000] lr: 2.657e-05, eta: 10:44:07, time: 0.330, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4625, decode.acc_seg: 65.6333, aux.loss_ce: 0.2032, aux.acc_seg: 64.6949, loss: 0.6657 +2022-06-19 02:55:18,990 - mmseg - INFO - Iter [22050/160000] lr: 2.656e-05, eta: 10:43:51, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4683, decode.acc_seg: 65.7862, aux.loss_ce: 0.2054, aux.acc_seg: 64.7165, loss: 0.6736 +2022-06-19 02:55:32,428 - mmseg - INFO - Iter [22100/160000] lr: 2.655e-05, eta: 10:43:33, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4752, decode.acc_seg: 66.5660, aux.loss_ce: 0.2078, aux.acc_seg: 65.8513, loss: 0.6830 +2022-06-19 02:55:45,804 - mmseg - INFO - Iter [22150/160000] lr: 2.654e-05, eta: 10:43:15, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4737, decode.acc_seg: 66.9482, aux.loss_ce: 0.2067, aux.acc_seg: 66.2580, loss: 0.6804 +2022-06-19 02:55:59,557 - mmseg - INFO - Iter [22200/160000] lr: 2.653e-05, eta: 10:42:59, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4831, decode.acc_seg: 66.2536, aux.loss_ce: 0.2076, aux.acc_seg: 65.7992, loss: 0.6907 +2022-06-19 02:56:13,202 - mmseg - INFO - Iter [22250/160000] lr: 2.652e-05, eta: 10:42:43, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4993, decode.acc_seg: 65.5430, aux.loss_ce: 0.2165, aux.acc_seg: 64.8161, loss: 0.7158 +2022-06-19 02:56:26,697 - mmseg - INFO - Iter [22300/160000] lr: 2.651e-05, eta: 10:42:26, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5012, decode.acc_seg: 65.9752, aux.loss_ce: 0.2228, aux.acc_seg: 64.7130, loss: 0.7240 +2022-06-19 02:56:40,026 - mmseg - INFO - Iter [22350/160000] lr: 2.650e-05, eta: 10:42:08, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4897, decode.acc_seg: 64.5743, aux.loss_ce: 0.2129, aux.acc_seg: 63.8920, loss: 0.7027 +2022-06-19 02:56:53,423 - mmseg - INFO - Iter [22400/160000] lr: 2.649e-05, eta: 10:41:50, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.4877, decode.acc_seg: 67.3934, aux.loss_ce: 0.2127, aux.acc_seg: 66.3974, loss: 0.7004 +2022-06-19 02:57:06,860 - mmseg - INFO - Iter [22450/160000] lr: 2.648e-05, eta: 10:41:33, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4621, decode.acc_seg: 67.7974, aux.loss_ce: 0.2025, aux.acc_seg: 66.9377, loss: 0.6646 +2022-06-19 02:57:20,109 - mmseg - INFO - Iter [22500/160000] lr: 2.647e-05, eta: 10:41:15, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4814, decode.acc_seg: 66.3146, aux.loss_ce: 0.2109, aux.acc_seg: 65.4873, loss: 0.6923 +2022-06-19 02:57:33,798 - mmseg - INFO - Iter [22550/160000] lr: 2.646e-05, eta: 10:40:59, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5149, decode.acc_seg: 66.5559, aux.loss_ce: 0.2247, aux.acc_seg: 65.4534, loss: 0.7395 +2022-06-19 02:57:47,368 - mmseg - INFO - Iter [22600/160000] lr: 2.645e-05, eta: 10:40:42, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4999, decode.acc_seg: 66.0680, aux.loss_ce: 0.2179, aux.acc_seg: 65.0097, loss: 0.7178 +2022-06-19 02:58:00,806 - mmseg - INFO - Iter [22650/160000] lr: 2.644e-05, eta: 10:40:25, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4864, decode.acc_seg: 65.9715, aux.loss_ce: 0.2114, aux.acc_seg: 64.9967, loss: 0.6978 +2022-06-19 02:58:14,173 - mmseg - INFO - Iter [22700/160000] lr: 2.643e-05, eta: 10:40:07, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4777, decode.acc_seg: 65.2478, aux.loss_ce: 0.2089, aux.acc_seg: 64.4708, loss: 0.6867 +2022-06-19 02:58:29,886 - mmseg - INFO - Iter [22750/160000] lr: 2.642e-05, eta: 10:40:04, time: 0.314, data_time: 0.049, memory: 56924, decode.loss_ce: 0.5060, decode.acc_seg: 65.6611, aux.loss_ce: 0.2220, aux.acc_seg: 64.8778, loss: 0.7280 +2022-06-19 02:58:43,253 - mmseg - INFO - Iter [22800/160000] lr: 2.641e-05, eta: 10:39:46, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4538, decode.acc_seg: 65.6878, aux.loss_ce: 0.1996, aux.acc_seg: 64.8601, loss: 0.6534 +2022-06-19 02:58:56,713 - mmseg - INFO - Iter [22850/160000] lr: 2.640e-05, eta: 10:39:29, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4921, decode.acc_seg: 67.3174, aux.loss_ce: 0.2156, aux.acc_seg: 66.5190, loss: 0.7077 +2022-06-19 02:59:10,217 - mmseg - INFO - Iter [22900/160000] lr: 2.639e-05, eta: 10:39:12, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4592, decode.acc_seg: 67.5596, aux.loss_ce: 0.2026, aux.acc_seg: 66.6301, loss: 0.6618 +2022-06-19 02:59:23,738 - mmseg - INFO - Iter [22950/160000] lr: 2.638e-05, eta: 10:38:55, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4275, decode.acc_seg: 66.8052, aux.loss_ce: 0.1874, aux.acc_seg: 65.9170, loss: 0.6149 +2022-06-19 02:59:37,036 - mmseg - INFO - Saving checkpoint at 23000 iterations +2022-06-19 02:59:39,957 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 02:59:39,959 - mmseg - INFO - Iter [23000/160000] lr: 2.637e-05, eta: 10:38:54, time: 0.324, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4789, decode.acc_seg: 65.8021, aux.loss_ce: 0.2106, aux.acc_seg: 64.7796, loss: 0.6895 +2022-06-19 02:59:53,405 - mmseg - INFO - Iter [23050/160000] lr: 2.636e-05, eta: 10:38:37, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4604, decode.acc_seg: 66.6090, aux.loss_ce: 0.2040, aux.acc_seg: 65.7314, loss: 0.6644 +2022-06-19 03:00:06,661 - mmseg - INFO - Iter [23100/160000] lr: 2.635e-05, eta: 10:38:19, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4547, decode.acc_seg: 67.0680, aux.loss_ce: 0.1995, aux.acc_seg: 65.9945, loss: 0.6542 +2022-06-19 03:00:20,206 - mmseg - INFO - Iter [23150/160000] lr: 2.634e-05, eta: 10:38:02, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4637, decode.acc_seg: 66.4140, aux.loss_ce: 0.2051, aux.acc_seg: 65.4592, loss: 0.6689 +2022-06-19 03:00:33,894 - mmseg - INFO - Iter [23200/160000] lr: 2.633e-05, eta: 10:37:46, time: 0.274, data_time: 0.005, memory: 56924, decode.loss_ce: 0.4350, decode.acc_seg: 65.7122, aux.loss_ce: 0.1918, aux.acc_seg: 64.6860, loss: 0.6267 +2022-06-19 03:00:47,241 - mmseg - INFO - Iter [23250/160000] lr: 2.633e-05, eta: 10:37:28, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4811, decode.acc_seg: 67.7512, aux.loss_ce: 0.2120, aux.acc_seg: 66.5526, loss: 0.6931 +2022-06-19 03:01:00,930 - mmseg - INFO - Iter [23300/160000] lr: 2.632e-05, eta: 10:37:13, time: 0.274, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4548, decode.acc_seg: 66.9920, aux.loss_ce: 0.2011, aux.acc_seg: 65.9909, loss: 0.6559 +2022-06-19 03:01:14,350 - mmseg - INFO - Iter [23350/160000] lr: 2.631e-05, eta: 10:36:56, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4270, decode.acc_seg: 67.4834, aux.loss_ce: 0.1886, aux.acc_seg: 66.3885, loss: 0.6156 +2022-06-19 03:01:28,013 - mmseg - INFO - Iter [23400/160000] lr: 2.630e-05, eta: 10:36:40, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4521, decode.acc_seg: 67.0349, aux.loss_ce: 0.1995, aux.acc_seg: 66.2005, loss: 0.6517 +2022-06-19 03:01:41,272 - mmseg - INFO - Iter [23450/160000] lr: 2.629e-05, eta: 10:36:22, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4831, decode.acc_seg: 66.1565, aux.loss_ce: 0.2091, aux.acc_seg: 65.5274, loss: 0.6922 +2022-06-19 03:01:54,914 - mmseg - INFO - Iter [23500/160000] lr: 2.628e-05, eta: 10:36:05, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4731, decode.acc_seg: 65.5534, aux.loss_ce: 0.2084, aux.acc_seg: 64.8398, loss: 0.6814 +2022-06-19 03:02:08,520 - mmseg - INFO - Iter [23550/160000] lr: 2.627e-05, eta: 10:35:49, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4497, decode.acc_seg: 67.6956, aux.loss_ce: 0.1978, aux.acc_seg: 66.8385, loss: 0.6475 +2022-06-19 03:02:21,888 - mmseg - INFO - Iter [23600/160000] lr: 2.626e-05, eta: 10:35:32, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4526, decode.acc_seg: 66.7654, aux.loss_ce: 0.1995, aux.acc_seg: 65.8042, loss: 0.6521 +2022-06-19 03:02:35,391 - mmseg - INFO - Iter [23650/160000] lr: 2.625e-05, eta: 10:35:15, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4725, decode.acc_seg: 67.8398, aux.loss_ce: 0.2087, aux.acc_seg: 66.8724, loss: 0.6812 +2022-06-19 03:02:48,858 - mmseg - INFO - Iter [23700/160000] lr: 2.624e-05, eta: 10:34:58, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4833, decode.acc_seg: 66.5053, aux.loss_ce: 0.2132, aux.acc_seg: 65.6123, loss: 0.6965 +2022-06-19 03:03:02,401 - mmseg - INFO - Iter [23750/160000] lr: 2.623e-05, eta: 10:34:42, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4753, decode.acc_seg: 66.6184, aux.loss_ce: 0.2065, aux.acc_seg: 65.7618, loss: 0.6818 +2022-06-19 03:03:15,637 - mmseg - INFO - Iter [23800/160000] lr: 2.622e-05, eta: 10:34:24, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4711, decode.acc_seg: 65.9998, aux.loss_ce: 0.2057, aux.acc_seg: 65.1183, loss: 0.6768 +2022-06-19 03:03:29,309 - mmseg - INFO - Iter [23850/160000] lr: 2.621e-05, eta: 10:34:08, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4677, decode.acc_seg: 67.1431, aux.loss_ce: 0.2047, aux.acc_seg: 66.2870, loss: 0.6724 +2022-06-19 03:03:42,835 - mmseg - INFO - Iter [23900/160000] lr: 2.620e-05, eta: 10:33:51, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.5047, decode.acc_seg: 66.7487, aux.loss_ce: 0.2179, aux.acc_seg: 65.7446, loss: 0.7225 +2022-06-19 03:03:56,530 - mmseg - INFO - Iter [23950/160000] lr: 2.619e-05, eta: 10:33:36, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4631, decode.acc_seg: 66.4230, aux.loss_ce: 0.2057, aux.acc_seg: 65.2796, loss: 0.6688 +2022-06-19 03:04:12,248 - mmseg - INFO - Saving checkpoint at 24000 iterations +2022-06-19 03:04:15,142 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 03:04:15,142 - mmseg - INFO - Iter [24000/160000] lr: 2.618e-05, eta: 10:33:48, time: 0.372, data_time: 0.050, memory: 56924, decode.loss_ce: 0.4829, decode.acc_seg: 67.4477, aux.loss_ce: 0.2107, aux.acc_seg: 66.4501, loss: 0.6936 +2022-06-19 03:04:28,649 - mmseg - INFO - Iter [24050/160000] lr: 2.617e-05, eta: 10:33:31, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4021, decode.acc_seg: 68.2993, aux.loss_ce: 0.1772, aux.acc_seg: 67.4361, loss: 0.5792 +2022-06-19 03:04:42,084 - mmseg - INFO - Iter [24100/160000] lr: 2.616e-05, eta: 10:33:14, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4547, decode.acc_seg: 67.2040, aux.loss_ce: 0.1984, aux.acc_seg: 66.5761, loss: 0.6531 +2022-06-19 03:04:55,548 - mmseg - INFO - Iter [24150/160000] lr: 2.615e-05, eta: 10:32:58, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4670, decode.acc_seg: 65.7844, aux.loss_ce: 0.2070, aux.acc_seg: 64.6429, loss: 0.6740 +2022-06-19 03:05:08,905 - mmseg - INFO - Iter [24200/160000] lr: 2.614e-05, eta: 10:32:40, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4442, decode.acc_seg: 67.1112, aux.loss_ce: 0.1959, aux.acc_seg: 66.3389, loss: 0.6401 +2022-06-19 03:05:22,389 - mmseg - INFO - Iter [24250/160000] lr: 2.613e-05, eta: 10:32:23, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4831, decode.acc_seg: 67.3741, aux.loss_ce: 0.2119, aux.acc_seg: 66.3882, loss: 0.6951 +2022-06-19 03:05:35,822 - mmseg - INFO - Iter [24300/160000] lr: 2.612e-05, eta: 10:32:06, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4723, decode.acc_seg: 66.5053, aux.loss_ce: 0.2078, aux.acc_seg: 65.6900, loss: 0.6800 +2022-06-19 03:05:49,377 - mmseg - INFO - Iter [24350/160000] lr: 2.611e-05, eta: 10:31:50, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4491, decode.acc_seg: 65.8623, aux.loss_ce: 0.1972, aux.acc_seg: 65.0484, loss: 0.6463 +2022-06-19 03:06:02,837 - mmseg - INFO - Iter [24400/160000] lr: 2.610e-05, eta: 10:31:33, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4288, decode.acc_seg: 67.7590, aux.loss_ce: 0.1903, aux.acc_seg: 66.6890, loss: 0.6191 +2022-06-19 03:06:16,550 - mmseg - INFO - Iter [24450/160000] lr: 2.609e-05, eta: 10:31:18, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4688, decode.acc_seg: 65.5632, aux.loss_ce: 0.2062, aux.acc_seg: 64.5767, loss: 0.6750 +2022-06-19 03:06:30,005 - mmseg - INFO - Iter [24500/160000] lr: 2.608e-05, eta: 10:31:01, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4331, decode.acc_seg: 66.7289, aux.loss_ce: 0.1906, aux.acc_seg: 66.0644, loss: 0.6237 +2022-06-19 03:06:43,362 - mmseg - INFO - Iter [24550/160000] lr: 2.607e-05, eta: 10:30:44, time: 0.267, data_time: 0.005, memory: 56924, decode.loss_ce: 0.4452, decode.acc_seg: 67.7231, aux.loss_ce: 0.1967, aux.acc_seg: 66.8662, loss: 0.6419 +2022-06-19 03:06:56,694 - mmseg - INFO - Iter [24600/160000] lr: 2.607e-05, eta: 10:30:26, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4600, decode.acc_seg: 65.9362, aux.loss_ce: 0.2011, aux.acc_seg: 65.1988, loss: 0.6612 +2022-06-19 03:07:10,044 - mmseg - INFO - Iter [24650/160000] lr: 2.606e-05, eta: 10:30:09, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4486, decode.acc_seg: 67.8495, aux.loss_ce: 0.1980, aux.acc_seg: 66.7734, loss: 0.6465 +2022-06-19 03:07:23,483 - mmseg - INFO - Iter [24700/160000] lr: 2.605e-05, eta: 10:29:52, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4692, decode.acc_seg: 67.1223, aux.loss_ce: 0.2080, aux.acc_seg: 66.2401, loss: 0.6772 +2022-06-19 03:07:36,815 - mmseg - INFO - Iter [24750/160000] lr: 2.604e-05, eta: 10:29:34, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4459, decode.acc_seg: 66.2726, aux.loss_ce: 0.1967, aux.acc_seg: 65.5378, loss: 0.6426 +2022-06-19 03:07:50,248 - mmseg - INFO - Iter [24800/160000] lr: 2.603e-05, eta: 10:29:18, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4556, decode.acc_seg: 66.9265, aux.loss_ce: 0.2010, aux.acc_seg: 65.8806, loss: 0.6566 +2022-06-19 03:08:03,892 - mmseg - INFO - Iter [24850/160000] lr: 2.602e-05, eta: 10:29:02, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4554, decode.acc_seg: 64.8642, aux.loss_ce: 0.1989, aux.acc_seg: 63.8834, loss: 0.6544 +2022-06-19 03:08:17,293 - mmseg - INFO - Iter [24900/160000] lr: 2.601e-05, eta: 10:28:45, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4794, decode.acc_seg: 66.3268, aux.loss_ce: 0.2109, aux.acc_seg: 65.6202, loss: 0.6903 +2022-06-19 03:08:30,679 - mmseg - INFO - Iter [24950/160000] lr: 2.600e-05, eta: 10:28:28, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4510, decode.acc_seg: 67.7763, aux.loss_ce: 0.1985, aux.acc_seg: 66.7455, loss: 0.6495 +2022-06-19 03:08:44,130 - mmseg - INFO - Saving checkpoint at 25000 iterations +2022-06-19 03:08:47,107 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 03:08:47,107 - mmseg - INFO - Iter [25000/160000] lr: 2.599e-05, eta: 10:28:27, time: 0.329, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4783, decode.acc_seg: 67.5053, aux.loss_ce: 0.2117, aux.acc_seg: 66.4650, loss: 0.6900 +2022-06-19 03:09:00,303 - mmseg - INFO - Iter [25050/160000] lr: 2.598e-05, eta: 10:28:09, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4722, decode.acc_seg: 65.8074, aux.loss_ce: 0.2066, aux.acc_seg: 64.9239, loss: 0.6788 +2022-06-19 03:09:13,687 - mmseg - INFO - Iter [25100/160000] lr: 2.597e-05, eta: 10:27:52, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4417, decode.acc_seg: 67.2437, aux.loss_ce: 0.1940, aux.acc_seg: 66.2719, loss: 0.6357 +2022-06-19 03:09:26,945 - mmseg - INFO - Iter [25150/160000] lr: 2.596e-05, eta: 10:27:34, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4779, decode.acc_seg: 66.1032, aux.loss_ce: 0.2075, aux.acc_seg: 65.4002, loss: 0.6854 +2022-06-19 03:09:40,434 - mmseg - INFO - Iter [25200/160000] lr: 2.595e-05, eta: 10:27:18, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4427, decode.acc_seg: 66.9143, aux.loss_ce: 0.1954, aux.acc_seg: 66.0785, loss: 0.6381 +2022-06-19 03:09:53,809 - mmseg - INFO - Iter [25250/160000] lr: 2.594e-05, eta: 10:27:01, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4653, decode.acc_seg: 66.9491, aux.loss_ce: 0.2055, aux.acc_seg: 65.9375, loss: 0.6708 +2022-06-19 03:10:09,385 - mmseg - INFO - Iter [25300/160000] lr: 2.593e-05, eta: 10:26:55, time: 0.312, data_time: 0.049, memory: 56924, decode.loss_ce: 0.4367, decode.acc_seg: 65.3352, aux.loss_ce: 0.1914, aux.acc_seg: 64.6226, loss: 0.6281 +2022-06-19 03:10:22,776 - mmseg - INFO - Iter [25350/160000] lr: 2.592e-05, eta: 10:26:38, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4191, decode.acc_seg: 69.0081, aux.loss_ce: 0.1873, aux.acc_seg: 67.7679, loss: 0.6064 +2022-06-19 03:10:36,307 - mmseg - INFO - Iter [25400/160000] lr: 2.591e-05, eta: 10:26:22, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4497, decode.acc_seg: 66.5244, aux.loss_ce: 0.1999, aux.acc_seg: 65.4218, loss: 0.6496 +2022-06-19 03:10:49,758 - mmseg - INFO - Iter [25450/160000] lr: 2.590e-05, eta: 10:26:05, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4451, decode.acc_seg: 68.1850, aux.loss_ce: 0.1975, aux.acc_seg: 67.3006, loss: 0.6426 +2022-06-19 03:11:03,279 - mmseg - INFO - Iter [25500/160000] lr: 2.589e-05, eta: 10:25:49, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4320, decode.acc_seg: 66.8593, aux.loss_ce: 0.1906, aux.acc_seg: 66.0385, loss: 0.6226 +2022-06-19 03:11:16,993 - mmseg - INFO - Iter [25550/160000] lr: 2.588e-05, eta: 10:25:34, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4479, decode.acc_seg: 67.1900, aux.loss_ce: 0.1978, aux.acc_seg: 66.2082, loss: 0.6457 +2022-06-19 03:11:30,570 - mmseg - INFO - Iter [25600/160000] lr: 2.587e-05, eta: 10:25:18, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4434, decode.acc_seg: 66.6671, aux.loss_ce: 0.1949, aux.acc_seg: 65.7746, loss: 0.6384 +2022-06-19 03:11:44,043 - mmseg - INFO - Iter [25650/160000] lr: 2.586e-05, eta: 10:25:01, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4402, decode.acc_seg: 67.1858, aux.loss_ce: 0.1933, aux.acc_seg: 66.3020, loss: 0.6335 +2022-06-19 03:11:57,390 - mmseg - INFO - Iter [25700/160000] lr: 2.585e-05, eta: 10:24:44, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4839, decode.acc_seg: 66.7957, aux.loss_ce: 0.2101, aux.acc_seg: 65.9830, loss: 0.6940 +2022-06-19 03:12:10,862 - mmseg - INFO - Iter [25750/160000] lr: 2.584e-05, eta: 10:24:28, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4468, decode.acc_seg: 69.1081, aux.loss_ce: 0.1975, aux.acc_seg: 67.9913, loss: 0.6442 +2022-06-19 03:12:24,400 - mmseg - INFO - Iter [25800/160000] lr: 2.583e-05, eta: 10:24:12, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4568, decode.acc_seg: 66.1641, aux.loss_ce: 0.1978, aux.acc_seg: 65.6646, loss: 0.6546 +2022-06-19 03:12:37,856 - mmseg - INFO - Iter [25850/160000] lr: 2.582e-05, eta: 10:23:55, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4541, decode.acc_seg: 66.6202, aux.loss_ce: 0.1976, aux.acc_seg: 65.9337, loss: 0.6517 +2022-06-19 03:12:51,584 - mmseg - INFO - Iter [25900/160000] lr: 2.581e-05, eta: 10:23:40, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4869, decode.acc_seg: 66.2190, aux.loss_ce: 0.2149, aux.acc_seg: 65.2052, loss: 0.7018 +2022-06-19 03:13:04,982 - mmseg - INFO - Iter [25950/160000] lr: 2.581e-05, eta: 10:23:23, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4235, decode.acc_seg: 65.7185, aux.loss_ce: 0.1872, aux.acc_seg: 64.8117, loss: 0.6107 +2022-06-19 03:13:18,006 - mmseg - INFO - Saving checkpoint at 26000 iterations +2022-06-19 03:13:20,922 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 03:13:20,923 - mmseg - INFO - Iter [26000/160000] lr: 2.580e-05, eta: 10:23:19, time: 0.319, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4405, decode.acc_seg: 66.3259, aux.loss_ce: 0.1948, aux.acc_seg: 65.3809, loss: 0.6353 +2022-06-19 03:13:34,457 - mmseg - INFO - Iter [26050/160000] lr: 2.579e-05, eta: 10:23:03, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4733, decode.acc_seg: 67.3941, aux.loss_ce: 0.2063, aux.acc_seg: 66.4711, loss: 0.6796 +2022-06-19 03:13:48,080 - mmseg - INFO - Iter [26100/160000] lr: 2.578e-05, eta: 10:22:48, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.4417, decode.acc_seg: 66.9330, aux.loss_ce: 0.1933, aux.acc_seg: 66.1175, loss: 0.6350 +2022-06-19 03:14:01,731 - mmseg - INFO - Iter [26150/160000] lr: 2.577e-05, eta: 10:22:32, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4550, decode.acc_seg: 66.4051, aux.loss_ce: 0.1990, aux.acc_seg: 65.5228, loss: 0.6540 +2022-06-19 03:14:15,184 - mmseg - INFO - Iter [26200/160000] lr: 2.576e-05, eta: 10:22:16, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.4489, decode.acc_seg: 67.4031, aux.loss_ce: 0.1936, aux.acc_seg: 66.6980, loss: 0.6426 +2022-06-19 03:14:28,548 - mmseg - INFO - Iter [26250/160000] lr: 2.575e-05, eta: 10:21:59, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4474, decode.acc_seg: 67.4976, aux.loss_ce: 0.1970, aux.acc_seg: 66.5808, loss: 0.6444 +2022-06-19 03:14:42,023 - mmseg - INFO - Iter [26300/160000] lr: 2.574e-05, eta: 10:21:42, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4363, decode.acc_seg: 66.9839, aux.loss_ce: 0.1916, aux.acc_seg: 66.1854, loss: 0.6279 +2022-06-19 03:14:55,513 - mmseg - INFO - Iter [26350/160000] lr: 2.573e-05, eta: 10:21:26, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4467, decode.acc_seg: 67.7124, aux.loss_ce: 0.1958, aux.acc_seg: 66.9338, loss: 0.6425 +2022-06-19 03:15:08,895 - mmseg - INFO - Iter [26400/160000] lr: 2.572e-05, eta: 10:21:09, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4572, decode.acc_seg: 68.1215, aux.loss_ce: 0.1986, aux.acc_seg: 67.4767, loss: 0.6558 +2022-06-19 03:15:22,463 - mmseg - INFO - Iter [26450/160000] lr: 2.571e-05, eta: 10:20:53, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4981, decode.acc_seg: 64.2628, aux.loss_ce: 0.2172, aux.acc_seg: 63.3139, loss: 0.7153 +2022-06-19 03:15:36,006 - mmseg - INFO - Iter [26500/160000] lr: 2.570e-05, eta: 10:20:37, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4703, decode.acc_seg: 66.8679, aux.loss_ce: 0.2038, aux.acc_seg: 66.1130, loss: 0.6741 +2022-06-19 03:15:51,706 - mmseg - INFO - Iter [26550/160000] lr: 2.569e-05, eta: 10:20:32, time: 0.314, data_time: 0.048, memory: 56924, decode.loss_ce: 0.4636, decode.acc_seg: 67.7783, aux.loss_ce: 0.2039, aux.acc_seg: 66.7762, loss: 0.6675 +2022-06-19 03:16:05,131 - mmseg - INFO - Iter [26600/160000] lr: 2.568e-05, eta: 10:20:16, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4292, decode.acc_seg: 65.8949, aux.loss_ce: 0.1907, aux.acc_seg: 64.9192, loss: 0.6199 +2022-06-19 03:16:18,630 - mmseg - INFO - Iter [26650/160000] lr: 2.567e-05, eta: 10:19:59, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4395, decode.acc_seg: 65.8786, aux.loss_ce: 0.1912, aux.acc_seg: 65.1241, loss: 0.6307 +2022-06-19 03:16:31,941 - mmseg - INFO - Iter [26700/160000] lr: 2.566e-05, eta: 10:19:42, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4575, decode.acc_seg: 67.0074, aux.loss_ce: 0.1994, aux.acc_seg: 66.2250, loss: 0.6569 +2022-06-19 03:16:45,308 - mmseg - INFO - Iter [26750/160000] lr: 2.565e-05, eta: 10:19:25, time: 0.267, data_time: 0.005, memory: 56924, decode.loss_ce: 0.4383, decode.acc_seg: 67.6902, aux.loss_ce: 0.1927, aux.acc_seg: 66.5774, loss: 0.6310 +2022-06-19 03:16:58,685 - mmseg - INFO - Iter [26800/160000] lr: 2.564e-05, eta: 10:19:09, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4240, decode.acc_seg: 68.3196, aux.loss_ce: 0.1883, aux.acc_seg: 67.3389, loss: 0.6123 +2022-06-19 03:17:12,160 - mmseg - INFO - Iter [26850/160000] lr: 2.563e-05, eta: 10:18:52, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4433, decode.acc_seg: 68.7994, aux.loss_ce: 0.1964, aux.acc_seg: 67.6702, loss: 0.6397 +2022-06-19 03:17:25,661 - mmseg - INFO - Iter [26900/160000] lr: 2.562e-05, eta: 10:18:36, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.4265, decode.acc_seg: 65.7485, aux.loss_ce: 0.1905, aux.acc_seg: 64.6695, loss: 0.6170 +2022-06-19 03:17:39,205 - mmseg - INFO - Iter [26950/160000] lr: 2.561e-05, eta: 10:18:20, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4561, decode.acc_seg: 68.0021, aux.loss_ce: 0.2006, aux.acc_seg: 67.0737, loss: 0.6568 +2022-06-19 03:17:52,900 - mmseg - INFO - Saving checkpoint at 27000 iterations +2022-06-19 03:17:55,799 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 03:17:55,799 - mmseg - INFO - Iter [27000/160000] lr: 2.560e-05, eta: 10:18:20, time: 0.332, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4272, decode.acc_seg: 67.4994, aux.loss_ce: 0.1905, aux.acc_seg: 66.2966, loss: 0.6177 +2022-06-19 03:18:09,168 - mmseg - INFO - Iter [27050/160000] lr: 2.559e-05, eta: 10:18:03, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4134, decode.acc_seg: 66.9873, aux.loss_ce: 0.1840, aux.acc_seg: 65.8934, loss: 0.5974 +2022-06-19 03:18:22,551 - mmseg - INFO - Iter [27100/160000] lr: 2.558e-05, eta: 10:17:46, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4621, decode.acc_seg: 66.9258, aux.loss_ce: 0.2047, aux.acc_seg: 65.7821, loss: 0.6669 +2022-06-19 03:18:36,198 - mmseg - INFO - Iter [27150/160000] lr: 2.557e-05, eta: 10:17:31, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4562, decode.acc_seg: 66.4069, aux.loss_ce: 0.1978, aux.acc_seg: 65.7036, loss: 0.6540 +2022-06-19 03:18:49,546 - mmseg - INFO - Iter [27200/160000] lr: 2.556e-05, eta: 10:17:13, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4338, decode.acc_seg: 66.9363, aux.loss_ce: 0.1930, aux.acc_seg: 65.6985, loss: 0.6268 +2022-06-19 03:19:03,116 - mmseg - INFO - Iter [27250/160000] lr: 2.556e-05, eta: 10:16:58, time: 0.273, data_time: 0.005, memory: 56924, decode.loss_ce: 0.4562, decode.acc_seg: 66.0764, aux.loss_ce: 0.1986, aux.acc_seg: 65.2236, loss: 0.6548 +2022-06-19 03:19:16,584 - mmseg - INFO - Iter [27300/160000] lr: 2.555e-05, eta: 10:16:42, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4319, decode.acc_seg: 67.4444, aux.loss_ce: 0.1896, aux.acc_seg: 66.6678, loss: 0.6215 +2022-06-19 03:19:29,870 - mmseg - INFO - Iter [27350/160000] lr: 2.554e-05, eta: 10:16:25, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4624, decode.acc_seg: 65.6406, aux.loss_ce: 0.2017, aux.acc_seg: 64.6047, loss: 0.6641 +2022-06-19 03:19:42,970 - mmseg - INFO - Iter [27400/160000] lr: 2.553e-05, eta: 10:16:06, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4454, decode.acc_seg: 68.2324, aux.loss_ce: 0.1963, aux.acc_seg: 67.2845, loss: 0.6417 +2022-06-19 03:19:56,526 - mmseg - INFO - Iter [27450/160000] lr: 2.552e-05, eta: 10:15:51, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.4260, decode.acc_seg: 69.6677, aux.loss_ce: 0.1899, aux.acc_seg: 68.6838, loss: 0.6159 +2022-06-19 03:20:10,174 - mmseg - INFO - Iter [27500/160000] lr: 2.551e-05, eta: 10:15:35, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4491, decode.acc_seg: 66.2250, aux.loss_ce: 0.1969, aux.acc_seg: 65.4272, loss: 0.6460 +2022-06-19 03:20:23,554 - mmseg - INFO - Iter [27550/160000] lr: 2.550e-05, eta: 10:15:19, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4409, decode.acc_seg: 67.5015, aux.loss_ce: 0.1939, aux.acc_seg: 66.5383, loss: 0.6349 +2022-06-19 03:20:37,019 - mmseg - INFO - Iter [27600/160000] lr: 2.549e-05, eta: 10:15:03, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4686, decode.acc_seg: 67.4749, aux.loss_ce: 0.2061, aux.acc_seg: 66.6049, loss: 0.6748 +2022-06-19 03:20:50,425 - mmseg - INFO - Iter [27650/160000] lr: 2.548e-05, eta: 10:14:46, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4366, decode.acc_seg: 66.6559, aux.loss_ce: 0.1911, aux.acc_seg: 65.8336, loss: 0.6277 +2022-06-19 03:21:03,801 - mmseg - INFO - Iter [27700/160000] lr: 2.547e-05, eta: 10:14:30, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4312, decode.acc_seg: 67.9179, aux.loss_ce: 0.1888, aux.acc_seg: 67.0134, loss: 0.6200 +2022-06-19 03:21:17,437 - mmseg - INFO - Iter [27750/160000] lr: 2.546e-05, eta: 10:14:14, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4338, decode.acc_seg: 67.3942, aux.loss_ce: 0.1922, aux.acc_seg: 66.2578, loss: 0.6260 +2022-06-19 03:21:33,331 - mmseg - INFO - Iter [27800/160000] lr: 2.545e-05, eta: 10:14:09, time: 0.318, data_time: 0.050, memory: 56924, decode.loss_ce: 0.4371, decode.acc_seg: 67.3002, aux.loss_ce: 0.1936, aux.acc_seg: 66.5955, loss: 0.6307 +2022-06-19 03:21:46,788 - mmseg - INFO - Iter [27850/160000] lr: 2.544e-05, eta: 10:13:53, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4521, decode.acc_seg: 68.8181, aux.loss_ce: 0.2004, aux.acc_seg: 67.7140, loss: 0.6525 +2022-06-19 03:21:59,916 - mmseg - INFO - Iter [27900/160000] lr: 2.543e-05, eta: 10:13:36, time: 0.263, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4422, decode.acc_seg: 67.9278, aux.loss_ce: 0.1952, aux.acc_seg: 67.0152, loss: 0.6374 +2022-06-19 03:22:13,488 - mmseg - INFO - Iter [27950/160000] lr: 2.542e-05, eta: 10:13:20, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4214, decode.acc_seg: 67.7721, aux.loss_ce: 0.1858, aux.acc_seg: 66.6772, loss: 0.6072 +2022-06-19 03:22:27,152 - mmseg - INFO - Saving checkpoint at 28000 iterations +2022-06-19 03:22:30,200 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 03:22:30,201 - mmseg - INFO - Iter [28000/160000] lr: 2.541e-05, eta: 10:13:19, time: 0.334, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4365, decode.acc_seg: 68.3693, aux.loss_ce: 0.1910, aux.acc_seg: 67.7091, loss: 0.6274 +2022-06-19 03:22:43,414 - mmseg - INFO - Iter [28050/160000] lr: 2.540e-05, eta: 10:13:02, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4339, decode.acc_seg: 68.0278, aux.loss_ce: 0.1899, aux.acc_seg: 67.1309, loss: 0.6238 +2022-06-19 03:22:56,744 - mmseg - INFO - Iter [28100/160000] lr: 2.539e-05, eta: 10:12:45, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4273, decode.acc_seg: 65.9630, aux.loss_ce: 0.1864, aux.acc_seg: 65.1880, loss: 0.6137 +2022-06-19 03:23:10,281 - mmseg - INFO - Iter [28150/160000] lr: 2.538e-05, eta: 10:12:29, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4303, decode.acc_seg: 68.3189, aux.loss_ce: 0.1895, aux.acc_seg: 67.3917, loss: 0.6198 +2022-06-19 03:23:23,675 - mmseg - INFO - Iter [28200/160000] lr: 2.537e-05, eta: 10:12:13, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.4184, decode.acc_seg: 67.9128, aux.loss_ce: 0.1837, aux.acc_seg: 66.9168, loss: 0.6021 +2022-06-19 03:23:36,845 - mmseg - INFO - Iter [28250/160000] lr: 2.536e-05, eta: 10:11:55, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4252, decode.acc_seg: 65.6394, aux.loss_ce: 0.1877, aux.acc_seg: 64.6469, loss: 0.6129 +2022-06-19 03:23:50,295 - mmseg - INFO - Iter [28300/160000] lr: 2.535e-05, eta: 10:11:39, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4137, decode.acc_seg: 67.1171, aux.loss_ce: 0.1833, aux.acc_seg: 66.0383, loss: 0.5969 +2022-06-19 03:24:03,948 - mmseg - INFO - Iter [28350/160000] lr: 2.534e-05, eta: 10:11:24, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4457, decode.acc_seg: 66.0483, aux.loss_ce: 0.1971, aux.acc_seg: 65.0361, loss: 0.6428 +2022-06-19 03:24:17,224 - mmseg - INFO - Iter [28400/160000] lr: 2.533e-05, eta: 10:11:07, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4307, decode.acc_seg: 68.3742, aux.loss_ce: 0.1912, aux.acc_seg: 67.3367, loss: 0.6219 +2022-06-19 03:24:30,568 - mmseg - INFO - Iter [28450/160000] lr: 2.532e-05, eta: 10:10:50, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4449, decode.acc_seg: 67.0082, aux.loss_ce: 0.1967, aux.acc_seg: 65.8816, loss: 0.6416 +2022-06-19 03:24:43,867 - mmseg - INFO - Iter [28500/160000] lr: 2.531e-05, eta: 10:10:33, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4528, decode.acc_seg: 67.1868, aux.loss_ce: 0.1981, aux.acc_seg: 66.4694, loss: 0.6509 +2022-06-19 03:24:57,327 - mmseg - INFO - Iter [28550/160000] lr: 2.530e-05, eta: 10:10:17, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4238, decode.acc_seg: 67.5976, aux.loss_ce: 0.1872, aux.acc_seg: 66.9577, loss: 0.6109 +2022-06-19 03:25:10,814 - mmseg - INFO - Iter [28600/160000] lr: 2.530e-05, eta: 10:10:01, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4194, decode.acc_seg: 67.5675, aux.loss_ce: 0.1856, aux.acc_seg: 66.7523, loss: 0.6050 +2022-06-19 03:25:24,203 - mmseg - INFO - Iter [28650/160000] lr: 2.529e-05, eta: 10:09:45, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4110, decode.acc_seg: 67.5390, aux.loss_ce: 0.1811, aux.acc_seg: 66.7761, loss: 0.5921 +2022-06-19 03:25:37,544 - mmseg - INFO - Iter [28700/160000] lr: 2.528e-05, eta: 10:09:28, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4399, decode.acc_seg: 68.2206, aux.loss_ce: 0.1914, aux.acc_seg: 67.4005, loss: 0.6313 +2022-06-19 03:25:51,045 - mmseg - INFO - Iter [28750/160000] lr: 2.527e-05, eta: 10:09:12, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4249, decode.acc_seg: 68.1799, aux.loss_ce: 0.1876, aux.acc_seg: 67.1978, loss: 0.6125 +2022-06-19 03:26:04,802 - mmseg - INFO - Iter [28800/160000] lr: 2.526e-05, eta: 10:08:58, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4430, decode.acc_seg: 66.1278, aux.loss_ce: 0.1950, aux.acc_seg: 65.1140, loss: 0.6380 +2022-06-19 03:26:18,262 - mmseg - INFO - Iter [28850/160000] lr: 2.525e-05, eta: 10:08:42, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4212, decode.acc_seg: 66.9643, aux.loss_ce: 0.1855, aux.acc_seg: 66.1795, loss: 0.6067 +2022-06-19 03:26:31,865 - mmseg - INFO - Iter [28900/160000] lr: 2.524e-05, eta: 10:08:26, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4573, decode.acc_seg: 67.1941, aux.loss_ce: 0.2001, aux.acc_seg: 66.3082, loss: 0.6573 +2022-06-19 03:26:45,167 - mmseg - INFO - Iter [28950/160000] lr: 2.523e-05, eta: 10:08:09, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4487, decode.acc_seg: 67.5175, aux.loss_ce: 0.1971, aux.acc_seg: 66.5075, loss: 0.6457 +2022-06-19 03:26:58,573 - mmseg - INFO - Saving checkpoint at 29000 iterations +2022-06-19 03:27:01,476 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 03:27:01,476 - mmseg - INFO - Iter [29000/160000] lr: 2.522e-05, eta: 10:08:06, time: 0.327, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4194, decode.acc_seg: 67.7206, aux.loss_ce: 0.1845, aux.acc_seg: 66.8923, loss: 0.6039 +2022-06-19 03:27:17,337 - mmseg - INFO - Iter [29050/160000] lr: 2.521e-05, eta: 10:08:01, time: 0.317, data_time: 0.047, memory: 56924, decode.loss_ce: 0.4277, decode.acc_seg: 66.7968, aux.loss_ce: 0.1917, aux.acc_seg: 65.7596, loss: 0.6194 +2022-06-19 03:27:30,776 - mmseg - INFO - Iter [29100/160000] lr: 2.520e-05, eta: 10:07:45, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4418, decode.acc_seg: 68.2012, aux.loss_ce: 0.1989, aux.acc_seg: 67.0133, loss: 0.6406 +2022-06-19 03:27:44,454 - mmseg - INFO - Iter [29150/160000] lr: 2.519e-05, eta: 10:07:30, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4124, decode.acc_seg: 67.9612, aux.loss_ce: 0.1846, aux.acc_seg: 66.7448, loss: 0.5969 +2022-06-19 03:27:57,911 - mmseg - INFO - Iter [29200/160000] lr: 2.518e-05, eta: 10:07:14, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4166, decode.acc_seg: 68.2286, aux.loss_ce: 0.1848, aux.acc_seg: 67.4209, loss: 0.6013 +2022-06-19 03:28:11,303 - mmseg - INFO - Iter [29250/160000] lr: 2.517e-05, eta: 10:06:58, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4199, decode.acc_seg: 68.6473, aux.loss_ce: 0.1868, aux.acc_seg: 67.6990, loss: 0.6067 +2022-06-19 03:28:24,768 - mmseg - INFO - Iter [29300/160000] lr: 2.516e-05, eta: 10:06:42, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4261, decode.acc_seg: 68.5308, aux.loss_ce: 0.1894, aux.acc_seg: 67.5942, loss: 0.6155 +2022-06-19 03:28:37,842 - mmseg - INFO - Iter [29350/160000] lr: 2.515e-05, eta: 10:06:24, time: 0.261, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3966, decode.acc_seg: 68.0816, aux.loss_ce: 0.1761, aux.acc_seg: 67.1610, loss: 0.5727 +2022-06-19 03:28:51,295 - mmseg - INFO - Iter [29400/160000] lr: 2.514e-05, eta: 10:06:08, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4055, decode.acc_seg: 67.8011, aux.loss_ce: 0.1789, aux.acc_seg: 66.8985, loss: 0.5845 +2022-06-19 03:29:04,682 - mmseg - INFO - Iter [29450/160000] lr: 2.513e-05, eta: 10:05:51, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.4279, decode.acc_seg: 68.2283, aux.loss_ce: 0.1883, aux.acc_seg: 67.3543, loss: 0.6162 +2022-06-19 03:29:18,322 - mmseg - INFO - Iter [29500/160000] lr: 2.512e-05, eta: 10:05:36, time: 0.273, data_time: 0.005, memory: 56924, decode.loss_ce: 0.4241, decode.acc_seg: 67.8263, aux.loss_ce: 0.1873, aux.acc_seg: 66.8966, loss: 0.6114 +2022-06-19 03:29:31,728 - mmseg - INFO - Iter [29550/160000] lr: 2.511e-05, eta: 10:05:20, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4264, decode.acc_seg: 67.1361, aux.loss_ce: 0.1876, aux.acc_seg: 66.3754, loss: 0.6140 +2022-06-19 03:29:45,417 - mmseg - INFO - Iter [29600/160000] lr: 2.510e-05, eta: 10:05:05, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4145, decode.acc_seg: 69.6691, aux.loss_ce: 0.1847, aux.acc_seg: 68.5282, loss: 0.5992 +2022-06-19 03:29:58,714 - mmseg - INFO - Iter [29650/160000] lr: 2.509e-05, eta: 10:04:49, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4100, decode.acc_seg: 68.7708, aux.loss_ce: 0.1798, aux.acc_seg: 67.9275, loss: 0.5898 +2022-06-19 03:30:12,055 - mmseg - INFO - Iter [29700/160000] lr: 2.508e-05, eta: 10:04:32, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4136, decode.acc_seg: 66.9249, aux.loss_ce: 0.1847, aux.acc_seg: 65.8730, loss: 0.5983 +2022-06-19 03:30:25,628 - mmseg - INFO - Iter [29750/160000] lr: 2.507e-05, eta: 10:04:17, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.4320, decode.acc_seg: 68.5632, aux.loss_ce: 0.1895, aux.acc_seg: 67.7239, loss: 0.6215 +2022-06-19 03:30:39,505 - mmseg - INFO - Iter [29800/160000] lr: 2.506e-05, eta: 10:04:03, time: 0.277, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4255, decode.acc_seg: 68.6327, aux.loss_ce: 0.1878, aux.acc_seg: 67.8677, loss: 0.6133 +2022-06-19 03:30:53,165 - mmseg - INFO - Iter [29850/160000] lr: 2.505e-05, eta: 10:03:48, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4306, decode.acc_seg: 68.0968, aux.loss_ce: 0.1905, aux.acc_seg: 67.2272, loss: 0.6211 +2022-06-19 03:31:06,828 - mmseg - INFO - Iter [29900/160000] lr: 2.504e-05, eta: 10:03:32, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4312, decode.acc_seg: 66.7801, aux.loss_ce: 0.1905, aux.acc_seg: 66.0481, loss: 0.6216 +2022-06-19 03:31:20,266 - mmseg - INFO - Iter [29950/160000] lr: 2.504e-05, eta: 10:03:16, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4311, decode.acc_seg: 66.4940, aux.loss_ce: 0.1874, aux.acc_seg: 65.8086, loss: 0.6185 +2022-06-19 03:31:33,789 - mmseg - INFO - Saving checkpoint at 30000 iterations +2022-06-19 03:31:36,957 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 03:31:36,957 - mmseg - INFO - Iter [30000/160000] lr: 2.503e-05, eta: 10:03:14, time: 0.332, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4315, decode.acc_seg: 67.3580, aux.loss_ce: 0.1893, aux.acc_seg: 66.5902, loss: 0.6208 +2022-06-19 03:31:50,228 - mmseg - INFO - Iter [30050/160000] lr: 2.502e-05, eta: 10:02:58, time: 0.268, data_time: 0.006, memory: 56924, decode.loss_ce: 0.4229, decode.acc_seg: 66.7794, aux.loss_ce: 0.1855, aux.acc_seg: 65.9441, loss: 0.6084 +2022-06-19 03:32:03,566 - mmseg - INFO - Iter [30100/160000] lr: 2.501e-05, eta: 10:02:41, time: 0.267, data_time: 0.005, memory: 56924, decode.loss_ce: 0.4287, decode.acc_seg: 67.0969, aux.loss_ce: 0.1866, aux.acc_seg: 66.4623, loss: 0.6153 +2022-06-19 03:32:16,980 - mmseg - INFO - Iter [30150/160000] lr: 2.500e-05, eta: 10:02:25, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4469, decode.acc_seg: 66.9959, aux.loss_ce: 0.1947, aux.acc_seg: 66.3167, loss: 0.6415 +2022-06-19 03:32:30,358 - mmseg - INFO - Iter [30200/160000] lr: 2.499e-05, eta: 10:02:09, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4446, decode.acc_seg: 65.3909, aux.loss_ce: 0.1970, aux.acc_seg: 64.3660, loss: 0.6416 +2022-06-19 03:32:43,557 - mmseg - INFO - Iter [30250/160000] lr: 2.498e-05, eta: 10:01:52, time: 0.264, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4348, decode.acc_seg: 66.2815, aux.loss_ce: 0.1904, aux.acc_seg: 65.4146, loss: 0.6252 +2022-06-19 03:32:56,989 - mmseg - INFO - Iter [30300/160000] lr: 2.497e-05, eta: 10:01:36, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4267, decode.acc_seg: 67.7352, aux.loss_ce: 0.1883, aux.acc_seg: 66.7571, loss: 0.6151 +2022-06-19 03:33:12,998 - mmseg - INFO - Iter [30350/160000] lr: 2.496e-05, eta: 10:01:31, time: 0.320, data_time: 0.050, memory: 56924, decode.loss_ce: 0.4171, decode.acc_seg: 67.8435, aux.loss_ce: 0.1832, aux.acc_seg: 66.9197, loss: 0.6003 +2022-06-19 03:33:26,602 - mmseg - INFO - Iter [30400/160000] lr: 2.495e-05, eta: 10:01:16, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.4029, decode.acc_seg: 67.5733, aux.loss_ce: 0.1812, aux.acc_seg: 66.4294, loss: 0.5841 +2022-06-19 03:33:39,955 - mmseg - INFO - Iter [30450/160000] lr: 2.494e-05, eta: 10:00:59, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4037, decode.acc_seg: 66.8076, aux.loss_ce: 0.1813, aux.acc_seg: 65.7858, loss: 0.5850 +2022-06-19 03:33:53,486 - mmseg - INFO - Iter [30500/160000] lr: 2.493e-05, eta: 10:00:44, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4107, decode.acc_seg: 69.1043, aux.loss_ce: 0.1797, aux.acc_seg: 68.1903, loss: 0.5905 +2022-06-19 03:34:07,002 - mmseg - INFO - Iter [30550/160000] lr: 2.492e-05, eta: 10:00:28, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.4319, decode.acc_seg: 66.6709, aux.loss_ce: 0.1898, aux.acc_seg: 65.8001, loss: 0.6217 +2022-06-19 03:34:20,546 - mmseg - INFO - Iter [30600/160000] lr: 2.491e-05, eta: 10:00:13, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4129, decode.acc_seg: 68.6998, aux.loss_ce: 0.1853, aux.acc_seg: 67.5476, loss: 0.5982 +2022-06-19 03:34:34,018 - mmseg - INFO - Iter [30650/160000] lr: 2.490e-05, eta: 9:59:57, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4007, decode.acc_seg: 67.3145, aux.loss_ce: 0.1782, aux.acc_seg: 66.5847, loss: 0.5789 +2022-06-19 03:34:47,568 - mmseg - INFO - Iter [30700/160000] lr: 2.489e-05, eta: 9:59:42, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.4126, decode.acc_seg: 68.4330, aux.loss_ce: 0.1824, aux.acc_seg: 67.5728, loss: 0.5950 +2022-06-19 03:35:01,017 - mmseg - INFO - Iter [30750/160000] lr: 2.488e-05, eta: 9:59:26, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3927, decode.acc_seg: 68.1786, aux.loss_ce: 0.1752, aux.acc_seg: 67.5040, loss: 0.5678 +2022-06-19 03:35:14,447 - mmseg - INFO - Iter [30800/160000] lr: 2.487e-05, eta: 9:59:10, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3807, decode.acc_seg: 69.5611, aux.loss_ce: 0.1710, aux.acc_seg: 68.6177, loss: 0.5517 +2022-06-19 03:35:28,243 - mmseg - INFO - Iter [30850/160000] lr: 2.486e-05, eta: 9:58:55, time: 0.276, data_time: 0.005, memory: 56924, decode.loss_ce: 0.4402, decode.acc_seg: 67.3047, aux.loss_ce: 0.1956, aux.acc_seg: 66.4259, loss: 0.6359 +2022-06-19 03:35:41,686 - mmseg - INFO - Iter [30900/160000] lr: 2.485e-05, eta: 9:58:40, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4323, decode.acc_seg: 66.4304, aux.loss_ce: 0.1898, aux.acc_seg: 65.7024, loss: 0.6221 +2022-06-19 03:35:55,039 - mmseg - INFO - Iter [30950/160000] lr: 2.484e-05, eta: 9:58:23, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4204, decode.acc_seg: 66.9537, aux.loss_ce: 0.1852, aux.acc_seg: 65.9589, loss: 0.6055 +2022-06-19 03:36:08,690 - mmseg - INFO - Saving checkpoint at 31000 iterations +2022-06-19 03:36:11,602 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 03:36:11,603 - mmseg - INFO - Iter [31000/160000] lr: 2.483e-05, eta: 9:58:20, time: 0.331, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4347, decode.acc_seg: 68.7391, aux.loss_ce: 0.1944, aux.acc_seg: 67.5380, loss: 0.6290 +2022-06-19 03:36:25,208 - mmseg - INFO - Iter [31050/160000] lr: 2.482e-05, eta: 9:58:05, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4148, decode.acc_seg: 68.1026, aux.loss_ce: 0.1807, aux.acc_seg: 67.2251, loss: 0.5955 +2022-06-19 03:36:38,462 - mmseg - INFO - Iter [31100/160000] lr: 2.481e-05, eta: 9:57:49, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4115, decode.acc_seg: 68.9302, aux.loss_ce: 0.1826, aux.acc_seg: 67.9736, loss: 0.5941 +2022-06-19 03:36:51,684 - mmseg - INFO - Iter [31150/160000] lr: 2.480e-05, eta: 9:57:32, time: 0.264, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4215, decode.acc_seg: 67.0508, aux.loss_ce: 0.1838, aux.acc_seg: 66.3288, loss: 0.6052 +2022-06-19 03:37:05,352 - mmseg - INFO - Iter [31200/160000] lr: 2.479e-05, eta: 9:57:17, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4170, decode.acc_seg: 66.0334, aux.loss_ce: 0.1837, aux.acc_seg: 65.1858, loss: 0.6007 +2022-06-19 03:37:18,802 - mmseg - INFO - Iter [31250/160000] lr: 2.478e-05, eta: 9:57:01, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4316, decode.acc_seg: 67.8443, aux.loss_ce: 0.1903, aux.acc_seg: 66.8599, loss: 0.6219 +2022-06-19 03:37:31,978 - mmseg - INFO - Iter [31300/160000] lr: 2.478e-05, eta: 9:56:44, time: 0.263, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4373, decode.acc_seg: 65.5306, aux.loss_ce: 0.1930, aux.acc_seg: 64.4949, loss: 0.6303 +2022-06-19 03:37:45,508 - mmseg - INFO - Iter [31350/160000] lr: 2.477e-05, eta: 9:56:29, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4304, decode.acc_seg: 66.8325, aux.loss_ce: 0.1887, aux.acc_seg: 66.0027, loss: 0.6191 +2022-06-19 03:37:59,073 - mmseg - INFO - Iter [31400/160000] lr: 2.476e-05, eta: 9:56:13, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4218, decode.acc_seg: 66.8636, aux.loss_ce: 0.1852, aux.acc_seg: 66.0646, loss: 0.6070 +2022-06-19 03:38:12,456 - mmseg - INFO - Iter [31450/160000] lr: 2.475e-05, eta: 9:55:57, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4196, decode.acc_seg: 68.2132, aux.loss_ce: 0.1845, aux.acc_seg: 67.2793, loss: 0.6042 +2022-06-19 03:38:25,966 - mmseg - INFO - Iter [31500/160000] lr: 2.474e-05, eta: 9:55:42, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4484, decode.acc_seg: 68.1334, aux.loss_ce: 0.1964, aux.acc_seg: 67.1566, loss: 0.6448 +2022-06-19 03:38:39,130 - mmseg - INFO - Iter [31550/160000] lr: 2.473e-05, eta: 9:55:25, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4308, decode.acc_seg: 67.8612, aux.loss_ce: 0.1882, aux.acc_seg: 67.2870, loss: 0.6190 +2022-06-19 03:38:54,656 - mmseg - INFO - Iter [31600/160000] lr: 2.472e-05, eta: 9:55:17, time: 0.311, data_time: 0.051, memory: 56924, decode.loss_ce: 0.3874, decode.acc_seg: 68.0373, aux.loss_ce: 0.1714, aux.acc_seg: 67.2145, loss: 0.5588 +2022-06-19 03:39:08,076 - mmseg - INFO - Iter [31650/160000] lr: 2.471e-05, eta: 9:55:02, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4076, decode.acc_seg: 67.2131, aux.loss_ce: 0.1796, aux.acc_seg: 66.5134, loss: 0.5872 +2022-06-19 03:39:21,634 - mmseg - INFO - Iter [31700/160000] lr: 2.470e-05, eta: 9:54:46, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3992, decode.acc_seg: 69.0341, aux.loss_ce: 0.1773, aux.acc_seg: 68.1790, loss: 0.5765 +2022-06-19 03:39:34,987 - mmseg - INFO - Iter [31750/160000] lr: 2.469e-05, eta: 9:54:30, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4235, decode.acc_seg: 67.7674, aux.loss_ce: 0.1884, aux.acc_seg: 66.7228, loss: 0.6119 +2022-06-19 03:39:48,561 - mmseg - INFO - Iter [31800/160000] lr: 2.468e-05, eta: 9:54:15, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4013, decode.acc_seg: 68.8377, aux.loss_ce: 0.1800, aux.acc_seg: 67.8106, loss: 0.5813 +2022-06-19 03:40:01,852 - mmseg - INFO - Iter [31850/160000] lr: 2.467e-05, eta: 9:53:58, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3978, decode.acc_seg: 69.2065, aux.loss_ce: 0.1752, aux.acc_seg: 68.4750, loss: 0.5730 +2022-06-19 03:40:15,519 - mmseg - INFO - Iter [31900/160000] lr: 2.466e-05, eta: 9:53:44, time: 0.273, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3967, decode.acc_seg: 67.7596, aux.loss_ce: 0.1765, aux.acc_seg: 66.7637, loss: 0.5732 +2022-06-19 03:40:28,961 - mmseg - INFO - Iter [31950/160000] lr: 2.465e-05, eta: 9:53:28, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4145, decode.acc_seg: 69.6177, aux.loss_ce: 0.1826, aux.acc_seg: 68.7185, loss: 0.5971 +2022-06-19 03:40:42,415 - mmseg - INFO - Saving checkpoint at 32000 iterations +2022-06-19 03:40:45,389 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 03:40:45,390 - mmseg - INFO - Iter [32000/160000] lr: 2.464e-05, eta: 9:53:24, time: 0.329, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4130, decode.acc_seg: 67.2423, aux.loss_ce: 0.1849, aux.acc_seg: 66.0423, loss: 0.5978 +2022-06-19 03:41:07,335 - mmseg - INFO - per class results: +2022-06-19 03:41:07,342 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 75.03 | 85.07 | +| building | 81.24 | 91.76 | +| sky | 94.24 | 97.41 | +| floor | 80.49 | 89.44 | +| tree | 73.32 | 87.17 | +| ceiling | 82.9 | 93.13 | +| road | 80.83 | 92.5 | +| bed | 85.94 | 94.12 | +| windowpane | 59.95 | 78.23 | +| grass | 63.81 | 78.02 | +| cabinet | 58.02 | 73.73 | +| sidewalk | 57.92 | 69.07 | +| person | 79.68 | 89.12 | +| earth | 33.3 | 44.29 | +| door | 44.11 | 54.14 | +| table | 53.73 | 74.58 | +| mountain | 57.75 | 70.73 | +| plant | 50.38 | 60.91 | +| curtain | 71.19 | 85.67 | +| chair | 51.13 | 63.18 | +| car | 82.36 | 91.95 | +| water | 58.73 | 76.29 | +| painting | 66.21 | 85.02 | +| sofa | 59.32 | 84.56 | +| shelf | 40.87 | 57.44 | +| house | 55.78 | 86.4 | +| sea | 61.24 | 74.82 | +| mirror | 62.1 | 72.67 | +| rug | 62.3 | 73.29 | +| field | 26.49 | 50.66 | +| armchair | 33.44 | 48.49 | +| seat | 59.61 | 82.07 | +| fence | 46.34 | 60.74 | +| desk | 42.91 | 60.52 | +| rock | 46.35 | 73.41 | +| wardrobe | 58.04 | 75.23 | +| lamp | 53.57 | 74.24 | +| bathtub | 72.71 | 85.59 | +| railing | 33.98 | 49.29 | +| cushion | 54.05 | 66.88 | +| base | 27.82 | 54.8 | +| box | 18.39 | 21.8 | +| column | 44.61 | 61.11 | +| signboard | 33.54 | 46.02 | +| chest of drawers | 37.82 | 58.22 | +| counter | 22.42 | 28.0 | +| sand | 41.44 | 57.76 | +| sink | 64.92 | 73.23 | +| skyscraper | 50.14 | 62.7 | +| fireplace | 59.26 | 84.71 | +| refrigerator | 63.9 | 80.17 | +| grandstand | 38.5 | 70.15 | +| path | 18.07 | 26.81 | +| stairs | 25.92 | 33.84 | +| runway | 69.28 | 95.02 | +| case | 47.46 | 63.13 | +| pool table | 89.43 | 97.48 | +| pillow | 52.16 | 61.09 | +| screen door | 66.78 | 79.07 | +| stairway | 29.86 | 43.87 | +| river | 6.76 | 11.6 | +| bridge | 47.91 | 62.12 | +| bookcase | 40.58 | 55.34 | +| blind | 30.29 | 33.75 | +| coffee table | 52.65 | 80.96 | +| toilet | 82.03 | 89.63 | +| flower | 33.29 | 51.97 | +| book | 45.5 | 72.12 | +| hill | 9.83 | 13.03 | +| bench | 35.76 | 42.53 | +| countertop | 48.67 | 59.98 | +| stove | 63.91 | 79.73 | +| palm | 48.04 | 64.14 | +| kitchen island | 35.97 | 70.73 | +| computer | 56.75 | 78.93 | +| swivel chair | 43.96 | 60.52 | +| boat | 45.35 | 56.3 | +| bar | 26.06 | 35.18 | +| arcade machine | 67.82 | 92.18 | +| hovel | 41.32 | 46.7 | +| bus | 81.5 | 91.08 | +| towel | 59.85 | 77.54 | +| light | 47.0 | 56.75 | +| truck | 29.34 | 40.64 | +| tower | 31.24 | 44.4 | +| chandelier | 57.3 | 77.34 | +| awning | 25.93 | 33.61 | +| streetlight | 18.9 | 24.48 | +| booth | 31.04 | 35.36 | +| television receiver | 62.56 | 78.03 | +| airplane | 50.15 | 63.46 | +| dirt track | 2.54 | 3.42 | +| apparel | 30.5 | 46.22 | +| pole | 10.96 | 13.05 | +| land | 0.0 | 0.0 | +| bannister | 9.14 | 14.41 | +| escalator | 48.03 | 80.95 | +| ottoman | 42.49 | 54.69 | +| bottle | 33.28 | 53.52 | +| buffet | 35.34 | 37.88 | +| poster | 23.46 | 32.63 | +| stage | 12.45 | 23.87 | +| van | 34.16 | 44.15 | +| ship | 64.32 | 88.79 | +| fountain | 43.0 | 45.56 | +| conveyer belt | 63.51 | 93.27 | +| canopy | 32.1 | 39.28 | +| washer | 73.63 | 75.31 | +| plaything | 16.98 | 24.08 | +| swimming pool | 74.48 | 83.43 | +| stool | 29.63 | 42.87 | +| barrel | 53.76 | 66.58 | +| basket | 30.69 | 37.49 | +| waterfall | 57.56 | 90.84 | +| tent | 82.08 | 98.86 | +| bag | 5.15 | 5.8 | +| minibike | 60.41 | 68.56 | +| cradle | 66.69 | 96.16 | +| oven | 19.94 | 31.35 | +| ball | 39.55 | 52.51 | +| food | 47.1 | 56.39 | +| step | 7.92 | 9.35 | +| tank | 46.79 | 51.33 | +| trade name | 22.77 | 24.85 | +| microwave | 75.2 | 86.01 | +| pot | 37.74 | 44.74 | +| animal | 57.24 | 60.06 | +| bicycle | 48.7 | 76.17 | +| lake | 45.95 | 62.69 | +| dishwasher | 48.91 | 68.14 | +| screen | 56.86 | 90.71 | +| blanket | 6.27 | 6.59 | +| sculpture | 41.78 | 53.82 | +| hood | 56.48 | 74.21 | +| sconce | 22.28 | 24.61 | +| vase | 29.1 | 40.96 | +| traffic light | 22.9 | 39.74 | +| tray | 0.54 | 0.62 | +| ashcan | 39.93 | 50.18 | +| fan | 52.94 | 68.52 | +| pier | 38.64 | 48.46 | +| crt screen | 0.0 | 0.0 | +| plate | 45.83 | 65.21 | +| monitor | 32.02 | 61.35 | +| bulletin board | 21.64 | 29.33 | +| shower | 0.0 | 0.0 | +| radiator | 51.66 | 61.02 | +| glass | 2.62 | 2.68 | +| clock | 28.23 | 34.92 | +| flag | 38.98 | 41.77 | ++---------------------+-------+-------+ +2022-06-19 03:41:07,342 - mmseg - INFO - Summary: +2022-06-19 03:41:07,342 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 81.54 | 45.29 | 58.41 | ++-------+-------+-------+ +2022-06-19 03:41:07,345 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_deit_adapter_base_512_160k_ade20k/best_mIoU_iter_16000.pth was removed +2022-06-19 03:41:10,177 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_32000.pth. +2022-06-19 03:41:10,178 - mmseg - INFO - Best mIoU is 0.4529 at 32000 iter. +2022-06-19 03:41:10,186 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 03:41:10,186 - mmseg - INFO - Iter(val) [250] aAcc: 0.8154, mIoU: 0.4529, mAcc: 0.5841, IoU.wall: 0.7503, IoU.building: 0.8124, IoU.sky: 0.9424, IoU.floor: 0.8049, IoU.tree: 0.7332, IoU.ceiling: 0.8290, IoU.road: 0.8083, IoU.bed : 0.8594, IoU.windowpane: 0.5995, IoU.grass: 0.6381, IoU.cabinet: 0.5802, IoU.sidewalk: 0.5792, IoU.person: 0.7968, IoU.earth: 0.3330, IoU.door: 0.4411, IoU.table: 0.5373, IoU.mountain: 0.5775, IoU.plant: 0.5038, IoU.curtain: 0.7119, IoU.chair: 0.5113, IoU.car: 0.8236, IoU.water: 0.5873, IoU.painting: 0.6621, IoU.sofa: 0.5932, IoU.shelf: 0.4087, IoU.house: 0.5578, IoU.sea: 0.6124, IoU.mirror: 0.6210, IoU.rug: 0.6230, IoU.field: 0.2649, IoU.armchair: 0.3344, IoU.seat: 0.5961, IoU.fence: 0.4634, IoU.desk: 0.4291, IoU.rock: 0.4635, IoU.wardrobe: 0.5804, IoU.lamp: 0.5357, IoU.bathtub: 0.7271, IoU.railing: 0.3398, IoU.cushion: 0.5405, IoU.base: 0.2782, IoU.box: 0.1839, IoU.column: 0.4461, IoU.signboard: 0.3354, IoU.chest of drawers: 0.3782, IoU.counter: 0.2242, IoU.sand: 0.4144, IoU.sink: 0.6492, IoU.skyscraper: 0.5014, IoU.fireplace: 0.5926, IoU.refrigerator: 0.6390, IoU.grandstand: 0.3850, IoU.path: 0.1807, IoU.stairs: 0.2592, IoU.runway: 0.6928, IoU.case: 0.4746, IoU.pool table: 0.8943, IoU.pillow: 0.5216, IoU.screen door: 0.6678, IoU.stairway: 0.2986, IoU.river: 0.0676, IoU.bridge: 0.4791, IoU.bookcase: 0.4058, IoU.blind: 0.3029, IoU.coffee table: 0.5265, IoU.toilet: 0.8203, IoU.flower: 0.3329, IoU.book: 0.4550, IoU.hill: 0.0983, IoU.bench: 0.3576, IoU.countertop: 0.4867, IoU.stove: 0.6391, IoU.palm: 0.4804, IoU.kitchen island: 0.3597, IoU.computer: 0.5675, IoU.swivel chair: 0.4396, IoU.boat: 0.4535, IoU.bar: 0.2606, IoU.arcade machine: 0.6782, IoU.hovel: 0.4132, IoU.bus: 0.8150, IoU.towel: 0.5985, IoU.light: 0.4700, IoU.truck: 0.2934, IoU.tower: 0.3124, IoU.chandelier: 0.5730, IoU.awning: 0.2593, IoU.streetlight: 0.1890, IoU.booth: 0.3104, IoU.television receiver: 0.6256, IoU.airplane: 0.5015, IoU.dirt track: 0.0254, IoU.apparel: 0.3050, IoU.pole: 0.1096, IoU.land: 0.0000, IoU.bannister: 0.0914, IoU.escalator: 0.4803, IoU.ottoman: 0.4249, IoU.bottle: 0.3328, IoU.buffet: 0.3534, IoU.poster: 0.2346, IoU.stage: 0.1245, IoU.van: 0.3416, IoU.ship: 0.6432, IoU.fountain: 0.4300, IoU.conveyer belt: 0.6351, IoU.canopy: 0.3210, IoU.washer: 0.7363, IoU.plaything: 0.1698, IoU.swimming pool: 0.7448, IoU.stool: 0.2963, IoU.barrel: 0.5376, IoU.basket: 0.3069, IoU.waterfall: 0.5756, IoU.tent: 0.8208, IoU.bag: 0.0515, IoU.minibike: 0.6041, IoU.cradle: 0.6669, IoU.oven: 0.1994, IoU.ball: 0.3955, IoU.food: 0.4710, IoU.step: 0.0792, IoU.tank: 0.4679, IoU.trade name: 0.2277, IoU.microwave: 0.7520, IoU.pot: 0.3774, IoU.animal: 0.5724, IoU.bicycle: 0.4870, IoU.lake: 0.4595, IoU.dishwasher: 0.4891, IoU.screen: 0.5686, IoU.blanket: 0.0627, IoU.sculpture: 0.4178, IoU.hood: 0.5648, IoU.sconce: 0.2228, IoU.vase: 0.2910, IoU.traffic light: 0.2290, IoU.tray: 0.0054, IoU.ashcan: 0.3993, IoU.fan: 0.5294, IoU.pier: 0.3864, IoU.crt screen: 0.0000, IoU.plate: 0.4583, IoU.monitor: 0.3202, IoU.bulletin board: 0.2164, IoU.shower: 0.0000, IoU.radiator: 0.5166, IoU.glass: 0.0262, IoU.clock: 0.2823, IoU.flag: 0.3898, Acc.wall: 0.8507, Acc.building: 0.9176, Acc.sky: 0.9741, Acc.floor: 0.8944, Acc.tree: 0.8717, Acc.ceiling: 0.9313, Acc.road: 0.9250, Acc.bed : 0.9412, Acc.windowpane: 0.7823, Acc.grass: 0.7802, Acc.cabinet: 0.7373, Acc.sidewalk: 0.6907, Acc.person: 0.8912, Acc.earth: 0.4429, Acc.door: 0.5414, Acc.table: 0.7458, Acc.mountain: 0.7073, Acc.plant: 0.6091, Acc.curtain: 0.8567, Acc.chair: 0.6318, Acc.car: 0.9195, Acc.water: 0.7629, Acc.painting: 0.8502, Acc.sofa: 0.8456, Acc.shelf: 0.5744, Acc.house: 0.8640, Acc.sea: 0.7482, Acc.mirror: 0.7267, Acc.rug: 0.7329, Acc.field: 0.5066, Acc.armchair: 0.4849, Acc.seat: 0.8207, Acc.fence: 0.6074, Acc.desk: 0.6052, Acc.rock: 0.7341, Acc.wardrobe: 0.7523, Acc.lamp: 0.7424, Acc.bathtub: 0.8559, Acc.railing: 0.4929, Acc.cushion: 0.6688, Acc.base: 0.5480, Acc.box: 0.2180, Acc.column: 0.6111, Acc.signboard: 0.4602, Acc.chest of drawers: 0.5822, Acc.counter: 0.2800, Acc.sand: 0.5776, Acc.sink: 0.7323, Acc.skyscraper: 0.6270, Acc.fireplace: 0.8471, Acc.refrigerator: 0.8017, Acc.grandstand: 0.7015, Acc.path: 0.2681, Acc.stairs: 0.3384, Acc.runway: 0.9502, Acc.case: 0.6313, Acc.pool table: 0.9748, Acc.pillow: 0.6109, Acc.screen door: 0.7907, Acc.stairway: 0.4387, Acc.river: 0.1160, Acc.bridge: 0.6212, Acc.bookcase: 0.5534, Acc.blind: 0.3375, Acc.coffee table: 0.8096, Acc.toilet: 0.8963, Acc.flower: 0.5197, Acc.book: 0.7212, Acc.hill: 0.1303, Acc.bench: 0.4253, Acc.countertop: 0.5998, Acc.stove: 0.7973, Acc.palm: 0.6414, Acc.kitchen island: 0.7073, Acc.computer: 0.7893, Acc.swivel chair: 0.6052, Acc.boat: 0.5630, Acc.bar: 0.3518, Acc.arcade machine: 0.9218, Acc.hovel: 0.4670, Acc.bus: 0.9108, Acc.towel: 0.7754, Acc.light: 0.5675, Acc.truck: 0.4064, Acc.tower: 0.4440, Acc.chandelier: 0.7734, Acc.awning: 0.3361, Acc.streetlight: 0.2448, Acc.booth: 0.3536, Acc.television receiver: 0.7803, Acc.airplane: 0.6346, Acc.dirt track: 0.0342, Acc.apparel: 0.4622, Acc.pole: 0.1305, Acc.land: 0.0000, Acc.bannister: 0.1441, Acc.escalator: 0.8095, Acc.ottoman: 0.5469, Acc.bottle: 0.5352, Acc.buffet: 0.3788, Acc.poster: 0.3263, Acc.stage: 0.2387, Acc.van: 0.4415, Acc.ship: 0.8879, Acc.fountain: 0.4556, Acc.conveyer belt: 0.9327, Acc.canopy: 0.3928, Acc.washer: 0.7531, Acc.plaything: 0.2408, Acc.swimming pool: 0.8343, Acc.stool: 0.4287, Acc.barrel: 0.6658, Acc.basket: 0.3749, Acc.waterfall: 0.9084, Acc.tent: 0.9886, Acc.bag: 0.0580, Acc.minibike: 0.6856, Acc.cradle: 0.9616, Acc.oven: 0.3135, Acc.ball: 0.5251, Acc.food: 0.5639, Acc.step: 0.0935, Acc.tank: 0.5133, Acc.trade name: 0.2485, Acc.microwave: 0.8601, Acc.pot: 0.4474, Acc.animal: 0.6006, Acc.bicycle: 0.7617, Acc.lake: 0.6269, Acc.dishwasher: 0.6814, Acc.screen: 0.9071, Acc.blanket: 0.0659, Acc.sculpture: 0.5382, Acc.hood: 0.7421, Acc.sconce: 0.2461, Acc.vase: 0.4096, Acc.traffic light: 0.3974, Acc.tray: 0.0062, Acc.ashcan: 0.5018, Acc.fan: 0.6852, Acc.pier: 0.4846, Acc.crt screen: 0.0000, Acc.plate: 0.6521, Acc.monitor: 0.6135, Acc.bulletin board: 0.2933, Acc.shower: 0.0000, Acc.radiator: 0.6102, Acc.glass: 0.0268, Acc.clock: 0.3492, Acc.flag: 0.4177 +2022-06-19 03:41:23,525 - mmseg - INFO - Iter [32050/160000] lr: 2.463e-05, eta: 9:54:47, time: 0.763, data_time: 0.500, memory: 56924, decode.loss_ce: 0.4495, decode.acc_seg: 68.1337, aux.loss_ce: 0.1961, aux.acc_seg: 67.1533, loss: 0.6457 +2022-06-19 03:41:36,901 - mmseg - INFO - Iter [32100/160000] lr: 2.462e-05, eta: 9:54:31, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4006, decode.acc_seg: 68.0398, aux.loss_ce: 0.1767, aux.acc_seg: 67.1178, loss: 0.5773 +2022-06-19 03:41:50,344 - mmseg - INFO - Iter [32150/160000] lr: 2.461e-05, eta: 9:54:15, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3928, decode.acc_seg: 68.5916, aux.loss_ce: 0.1736, aux.acc_seg: 67.7578, loss: 0.5664 +2022-06-19 03:42:03,745 - mmseg - INFO - Iter [32200/160000] lr: 2.460e-05, eta: 9:53:59, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4041, decode.acc_seg: 68.8892, aux.loss_ce: 0.1787, aux.acc_seg: 68.1559, loss: 0.5827 +2022-06-19 03:42:17,380 - mmseg - INFO - Iter [32250/160000] lr: 2.459e-05, eta: 9:53:43, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4089, decode.acc_seg: 67.8027, aux.loss_ce: 0.1792, aux.acc_seg: 67.0257, loss: 0.5881 +2022-06-19 03:42:30,780 - mmseg - INFO - Iter [32300/160000] lr: 2.458e-05, eta: 9:53:27, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4081, decode.acc_seg: 69.9371, aux.loss_ce: 0.1822, aux.acc_seg: 68.9257, loss: 0.5903 +2022-06-19 03:42:44,129 - mmseg - INFO - Iter [32350/160000] lr: 2.457e-05, eta: 9:53:11, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4134, decode.acc_seg: 67.4215, aux.loss_ce: 0.1811, aux.acc_seg: 66.4128, loss: 0.5945 +2022-06-19 03:42:57,563 - mmseg - INFO - Iter [32400/160000] lr: 2.456e-05, eta: 9:52:55, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3987, decode.acc_seg: 67.2630, aux.loss_ce: 0.1743, aux.acc_seg: 66.7227, loss: 0.5730 +2022-06-19 03:43:11,113 - mmseg - INFO - Iter [32450/160000] lr: 2.455e-05, eta: 9:52:40, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4041, decode.acc_seg: 67.9354, aux.loss_ce: 0.1765, aux.acc_seg: 67.3450, loss: 0.5806 +2022-06-19 03:43:24,504 - mmseg - INFO - Iter [32500/160000] lr: 2.454e-05, eta: 9:52:24, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4184, decode.acc_seg: 67.4181, aux.loss_ce: 0.1850, aux.acc_seg: 66.5094, loss: 0.6033 +2022-06-19 03:43:37,880 - mmseg - INFO - Iter [32550/160000] lr: 2.453e-05, eta: 9:52:07, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4159, decode.acc_seg: 68.2217, aux.loss_ce: 0.1852, aux.acc_seg: 67.1992, loss: 0.6010 +2022-06-19 03:43:51,015 - mmseg - INFO - Iter [32600/160000] lr: 2.453e-05, eta: 9:51:50, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4106, decode.acc_seg: 67.7324, aux.loss_ce: 0.1827, aux.acc_seg: 66.6436, loss: 0.5933 +2022-06-19 03:44:04,257 - mmseg - INFO - Iter [32650/160000] lr: 2.452e-05, eta: 9:51:34, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4183, decode.acc_seg: 67.5325, aux.loss_ce: 0.1845, aux.acc_seg: 66.6124, loss: 0.6027 +2022-06-19 03:44:17,801 - mmseg - INFO - Iter [32700/160000] lr: 2.451e-05, eta: 9:51:18, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4475, decode.acc_seg: 67.7588, aux.loss_ce: 0.1990, aux.acc_seg: 66.9648, loss: 0.6466 +2022-06-19 03:44:31,368 - mmseg - INFO - Iter [32750/160000] lr: 2.450e-05, eta: 9:51:03, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3868, decode.acc_seg: 67.7226, aux.loss_ce: 0.1697, aux.acc_seg: 67.0006, loss: 0.5565 +2022-06-19 03:44:44,699 - mmseg - INFO - Iter [32800/160000] lr: 2.449e-05, eta: 9:50:47, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3851, decode.acc_seg: 66.4090, aux.loss_ce: 0.1696, aux.acc_seg: 65.5854, loss: 0.5548 +2022-06-19 03:45:00,788 - mmseg - INFO - Iter [32850/160000] lr: 2.448e-05, eta: 9:50:41, time: 0.321, data_time: 0.050, memory: 56924, decode.loss_ce: 0.4057, decode.acc_seg: 68.2677, aux.loss_ce: 0.1790, aux.acc_seg: 67.4068, loss: 0.5847 +2022-06-19 03:45:14,327 - mmseg - INFO - Iter [32900/160000] lr: 2.447e-05, eta: 9:50:26, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3865, decode.acc_seg: 67.2303, aux.loss_ce: 0.1714, aux.acc_seg: 66.2494, loss: 0.5579 +2022-06-19 03:45:27,790 - mmseg - INFO - Iter [32950/160000] lr: 2.446e-05, eta: 9:50:10, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4145, decode.acc_seg: 69.5685, aux.loss_ce: 0.1836, aux.acc_seg: 68.4817, loss: 0.5981 +2022-06-19 03:45:41,086 - mmseg - INFO - Saving checkpoint at 33000 iterations +2022-06-19 03:45:43,976 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 03:45:43,977 - mmseg - INFO - Iter [33000/160000] lr: 2.445e-05, eta: 9:50:04, time: 0.324, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3929, decode.acc_seg: 68.4162, aux.loss_ce: 0.1731, aux.acc_seg: 67.3482, loss: 0.5660 +2022-06-19 03:45:57,413 - mmseg - INFO - Iter [33050/160000] lr: 2.444e-05, eta: 9:49:49, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3743, decode.acc_seg: 68.4749, aux.loss_ce: 0.1693, aux.acc_seg: 67.4576, loss: 0.5436 +2022-06-19 03:46:10,752 - mmseg - INFO - Iter [33100/160000] lr: 2.443e-05, eta: 9:49:32, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4141, decode.acc_seg: 67.9910, aux.loss_ce: 0.1833, aux.acc_seg: 67.1738, loss: 0.5974 +2022-06-19 03:46:24,441 - mmseg - INFO - Iter [33150/160000] lr: 2.442e-05, eta: 9:49:17, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4009, decode.acc_seg: 67.6883, aux.loss_ce: 0.1764, aux.acc_seg: 66.7942, loss: 0.5774 +2022-06-19 03:46:38,141 - mmseg - INFO - Iter [33200/160000] lr: 2.441e-05, eta: 9:49:03, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3958, decode.acc_seg: 67.4183, aux.loss_ce: 0.1758, aux.acc_seg: 66.5608, loss: 0.5715 +2022-06-19 03:46:51,576 - mmseg - INFO - Iter [33250/160000] lr: 2.440e-05, eta: 9:48:47, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3683, decode.acc_seg: 68.5196, aux.loss_ce: 0.1635, aux.acc_seg: 67.6685, loss: 0.5317 +2022-06-19 03:47:05,014 - mmseg - INFO - Iter [33300/160000] lr: 2.439e-05, eta: 9:48:31, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3708, decode.acc_seg: 67.7534, aux.loss_ce: 0.1646, aux.acc_seg: 66.6493, loss: 0.5354 +2022-06-19 03:47:18,440 - mmseg - INFO - Iter [33350/160000] lr: 2.438e-05, eta: 9:48:15, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3878, decode.acc_seg: 68.7838, aux.loss_ce: 0.1738, aux.acc_seg: 67.8369, loss: 0.5617 +2022-06-19 03:47:31,673 - mmseg - INFO - Iter [33400/160000] lr: 2.437e-05, eta: 9:47:58, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4063, decode.acc_seg: 67.9554, aux.loss_ce: 0.1783, aux.acc_seg: 67.1028, loss: 0.5846 +2022-06-19 03:47:45,094 - mmseg - INFO - Iter [33450/160000] lr: 2.436e-05, eta: 9:47:43, time: 0.270, data_time: 0.006, memory: 56924, decode.loss_ce: 0.4137, decode.acc_seg: 69.2866, aux.loss_ce: 0.1870, aux.acc_seg: 67.9025, loss: 0.6007 +2022-06-19 03:47:58,821 - mmseg - INFO - Iter [33500/160000] lr: 2.435e-05, eta: 9:47:28, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4350, decode.acc_seg: 66.9358, aux.loss_ce: 0.1921, aux.acc_seg: 66.1018, loss: 0.6270 +2022-06-19 03:48:12,200 - mmseg - INFO - Iter [33550/160000] lr: 2.434e-05, eta: 9:47:12, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3894, decode.acc_seg: 67.9939, aux.loss_ce: 0.1716, aux.acc_seg: 67.1730, loss: 0.5610 +2022-06-19 03:48:25,319 - mmseg - INFO - Iter [33600/160000] lr: 2.433e-05, eta: 9:46:55, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4184, decode.acc_seg: 67.5424, aux.loss_ce: 0.1853, aux.acc_seg: 66.5496, loss: 0.6037 +2022-06-19 03:48:39,175 - mmseg - INFO - Iter [33650/160000] lr: 2.432e-05, eta: 9:46:41, time: 0.277, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4098, decode.acc_seg: 69.3223, aux.loss_ce: 0.1819, aux.acc_seg: 68.2038, loss: 0.5916 +2022-06-19 03:48:53,030 - mmseg - INFO - Iter [33700/160000] lr: 2.431e-05, eta: 9:46:26, time: 0.277, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4198, decode.acc_seg: 68.0087, aux.loss_ce: 0.1834, aux.acc_seg: 67.1971, loss: 0.6032 +2022-06-19 03:49:06,364 - mmseg - INFO - Iter [33750/160000] lr: 2.430e-05, eta: 9:46:10, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4163, decode.acc_seg: 69.1181, aux.loss_ce: 0.1874, aux.acc_seg: 67.9969, loss: 0.6038 +2022-06-19 03:49:19,533 - mmseg - INFO - Iter [33800/160000] lr: 2.429e-05, eta: 9:45:54, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3964, decode.acc_seg: 68.5615, aux.loss_ce: 0.1755, aux.acc_seg: 67.5975, loss: 0.5719 +2022-06-19 03:49:32,891 - mmseg - INFO - Iter [33850/160000] lr: 2.428e-05, eta: 9:45:37, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4064, decode.acc_seg: 67.4374, aux.loss_ce: 0.1820, aux.acc_seg: 66.1479, loss: 0.5884 +2022-06-19 03:49:46,133 - mmseg - INFO - Iter [33900/160000] lr: 2.427e-05, eta: 9:45:21, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4041, decode.acc_seg: 69.0068, aux.loss_ce: 0.1820, aux.acc_seg: 67.9200, loss: 0.5861 +2022-06-19 03:49:59,558 - mmseg - INFO - Iter [33950/160000] lr: 2.427e-05, eta: 9:45:05, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4114, decode.acc_seg: 68.3461, aux.loss_ce: 0.1794, aux.acc_seg: 67.5990, loss: 0.5908 +2022-06-19 03:50:12,879 - mmseg - INFO - Saving checkpoint at 34000 iterations +2022-06-19 03:50:15,802 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 03:50:15,802 - mmseg - INFO - Iter [34000/160000] lr: 2.426e-05, eta: 9:45:00, time: 0.325, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4204, decode.acc_seg: 68.3724, aux.loss_ce: 0.1853, aux.acc_seg: 67.4741, loss: 0.6057 +2022-06-19 03:50:29,014 - mmseg - INFO - Iter [34050/160000] lr: 2.425e-05, eta: 9:44:43, time: 0.264, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4182, decode.acc_seg: 67.9600, aux.loss_ce: 0.1835, aux.acc_seg: 67.0655, loss: 0.6017 +2022-06-19 03:50:42,102 - mmseg - INFO - Iter [34100/160000] lr: 2.424e-05, eta: 9:44:26, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3674, decode.acc_seg: 68.2132, aux.loss_ce: 0.1624, aux.acc_seg: 67.3548, loss: 0.5298 +2022-06-19 03:50:57,879 - mmseg - INFO - Iter [34150/160000] lr: 2.423e-05, eta: 9:44:19, time: 0.316, data_time: 0.049, memory: 56924, decode.loss_ce: 0.3981, decode.acc_seg: 70.3524, aux.loss_ce: 0.1767, aux.acc_seg: 69.5326, loss: 0.5749 +2022-06-19 03:51:11,437 - mmseg - INFO - Iter [34200/160000] lr: 2.422e-05, eta: 9:44:04, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3975, decode.acc_seg: 68.5655, aux.loss_ce: 0.1788, aux.acc_seg: 67.3601, loss: 0.5763 +2022-06-19 03:51:24,943 - mmseg - INFO - Iter [34250/160000] lr: 2.421e-05, eta: 9:43:48, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3784, decode.acc_seg: 67.2617, aux.loss_ce: 0.1696, aux.acc_seg: 66.3208, loss: 0.5480 +2022-06-19 03:51:38,447 - mmseg - INFO - Iter [34300/160000] lr: 2.420e-05, eta: 9:43:33, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3633, decode.acc_seg: 69.2223, aux.loss_ce: 0.1619, aux.acc_seg: 68.3804, loss: 0.5252 +2022-06-19 03:51:51,651 - mmseg - INFO - Iter [34350/160000] lr: 2.419e-05, eta: 9:43:16, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3638, decode.acc_seg: 69.2353, aux.loss_ce: 0.1629, aux.acc_seg: 68.2947, loss: 0.5267 +2022-06-19 03:52:04,899 - mmseg - INFO - Iter [34400/160000] lr: 2.418e-05, eta: 9:43:00, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3899, decode.acc_seg: 68.7367, aux.loss_ce: 0.1731, aux.acc_seg: 67.7785, loss: 0.5630 +2022-06-19 03:52:18,571 - mmseg - INFO - Iter [34450/160000] lr: 2.417e-05, eta: 9:42:45, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3910, decode.acc_seg: 67.0716, aux.loss_ce: 0.1754, aux.acc_seg: 66.1398, loss: 0.5664 +2022-06-19 03:52:31,886 - mmseg - INFO - Iter [34500/160000] lr: 2.416e-05, eta: 9:42:29, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4209, decode.acc_seg: 68.4230, aux.loss_ce: 0.1870, aux.acc_seg: 67.6734, loss: 0.6079 +2022-06-19 03:52:45,207 - mmseg - INFO - Iter [34550/160000] lr: 2.415e-05, eta: 9:42:13, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3751, decode.acc_seg: 67.4663, aux.loss_ce: 0.1673, aux.acc_seg: 66.5270, loss: 0.5424 +2022-06-19 03:52:58,760 - mmseg - INFO - Iter [34600/160000] lr: 2.414e-05, eta: 9:41:58, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4009, decode.acc_seg: 67.7697, aux.loss_ce: 0.1770, aux.acc_seg: 66.7720, loss: 0.5778 +2022-06-19 03:53:12,162 - mmseg - INFO - Iter [34650/160000] lr: 2.413e-05, eta: 9:41:42, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3913, decode.acc_seg: 68.7018, aux.loss_ce: 0.1758, aux.acc_seg: 67.6002, loss: 0.5671 +2022-06-19 03:53:25,599 - mmseg - INFO - Iter [34700/160000] lr: 2.412e-05, eta: 9:41:26, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3899, decode.acc_seg: 69.1115, aux.loss_ce: 0.1743, aux.acc_seg: 68.1839, loss: 0.5642 +2022-06-19 03:53:38,966 - mmseg - INFO - Iter [34750/160000] lr: 2.411e-05, eta: 9:41:10, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3987, decode.acc_seg: 68.6437, aux.loss_ce: 0.1778, aux.acc_seg: 67.5503, loss: 0.5766 +2022-06-19 03:53:52,395 - mmseg - INFO - Iter [34800/160000] lr: 2.410e-05, eta: 9:40:54, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3939, decode.acc_seg: 68.6420, aux.loss_ce: 0.1751, aux.acc_seg: 67.7918, loss: 0.5690 +2022-06-19 03:54:06,045 - mmseg - INFO - Iter [34850/160000] lr: 2.409e-05, eta: 9:40:40, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3775, decode.acc_seg: 69.3822, aux.loss_ce: 0.1665, aux.acc_seg: 68.4002, loss: 0.5439 +2022-06-19 03:54:19,626 - mmseg - INFO - Iter [34900/160000] lr: 2.408e-05, eta: 9:40:24, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3929, decode.acc_seg: 68.4602, aux.loss_ce: 0.1749, aux.acc_seg: 67.4237, loss: 0.5679 +2022-06-19 03:54:33,073 - mmseg - INFO - Iter [34950/160000] lr: 2.407e-05, eta: 9:40:09, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3844, decode.acc_seg: 69.7915, aux.loss_ce: 0.1700, aux.acc_seg: 69.0442, loss: 0.5544 +2022-06-19 03:54:46,242 - mmseg - INFO - Saving checkpoint at 35000 iterations +2022-06-19 03:54:49,138 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 03:54:49,138 - mmseg - INFO - Iter [35000/160000] lr: 2.406e-05, eta: 9:40:03, time: 0.322, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4179, decode.acc_seg: 68.5333, aux.loss_ce: 0.1855, aux.acc_seg: 67.5156, loss: 0.6034 +2022-06-19 03:55:02,761 - mmseg - INFO - Iter [35050/160000] lr: 2.405e-05, eta: 9:39:47, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3995, decode.acc_seg: 68.6564, aux.loss_ce: 0.1756, aux.acc_seg: 67.8198, loss: 0.5751 +2022-06-19 03:55:16,273 - mmseg - INFO - Iter [35100/160000] lr: 2.404e-05, eta: 9:39:32, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3775, decode.acc_seg: 68.8192, aux.loss_ce: 0.1698, aux.acc_seg: 67.8426, loss: 0.5472 +2022-06-19 03:55:29,649 - mmseg - INFO - Iter [35150/160000] lr: 2.403e-05, eta: 9:39:16, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3925, decode.acc_seg: 69.2295, aux.loss_ce: 0.1766, aux.acc_seg: 68.0515, loss: 0.5690 +2022-06-19 03:55:42,881 - mmseg - INFO - Iter [35200/160000] lr: 2.402e-05, eta: 9:39:00, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4171, decode.acc_seg: 68.1444, aux.loss_ce: 0.1828, aux.acc_seg: 67.4226, loss: 0.5999 +2022-06-19 03:55:56,223 - mmseg - INFO - Iter [35250/160000] lr: 2.401e-05, eta: 9:38:44, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3800, decode.acc_seg: 67.9652, aux.loss_ce: 0.1695, aux.acc_seg: 66.7770, loss: 0.5496 +2022-06-19 03:56:09,654 - mmseg - INFO - Iter [35300/160000] lr: 2.401e-05, eta: 9:38:28, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3925, decode.acc_seg: 68.0374, aux.loss_ce: 0.1698, aux.acc_seg: 67.4231, loss: 0.5623 +2022-06-19 03:56:23,198 - mmseg - INFO - Iter [35350/160000] lr: 2.400e-05, eta: 9:38:13, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3933, decode.acc_seg: 68.6612, aux.loss_ce: 0.1738, aux.acc_seg: 67.7820, loss: 0.5671 +2022-06-19 03:56:38,603 - mmseg - INFO - Iter [35400/160000] lr: 2.399e-05, eta: 9:38:04, time: 0.308, data_time: 0.049, memory: 56924, decode.loss_ce: 0.4121, decode.acc_seg: 67.8988, aux.loss_ce: 0.1849, aux.acc_seg: 66.8684, loss: 0.5970 +2022-06-19 03:56:52,314 - mmseg - INFO - Iter [35450/160000] lr: 2.398e-05, eta: 9:37:50, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4166, decode.acc_seg: 66.7005, aux.loss_ce: 0.1858, aux.acc_seg: 65.5720, loss: 0.6024 +2022-06-19 03:57:05,991 - mmseg - INFO - Iter [35500/160000] lr: 2.397e-05, eta: 9:37:35, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3789, decode.acc_seg: 68.0236, aux.loss_ce: 0.1705, aux.acc_seg: 66.9402, loss: 0.5494 +2022-06-19 03:57:19,231 - mmseg - INFO - Iter [35550/160000] lr: 2.396e-05, eta: 9:37:19, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3868, decode.acc_seg: 69.7384, aux.loss_ce: 0.1725, aux.acc_seg: 68.8685, loss: 0.5593 +2022-06-19 03:57:32,605 - mmseg - INFO - Iter [35600/160000] lr: 2.395e-05, eta: 9:37:03, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3877, decode.acc_seg: 68.9922, aux.loss_ce: 0.1725, aux.acc_seg: 68.0269, loss: 0.5602 +2022-06-19 03:57:46,150 - mmseg - INFO - Iter [35650/160000] lr: 2.394e-05, eta: 9:36:48, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3578, decode.acc_seg: 71.6886, aux.loss_ce: 0.1625, aux.acc_seg: 70.5646, loss: 0.5203 +2022-06-19 03:57:59,672 - mmseg - INFO - Iter [35700/160000] lr: 2.393e-05, eta: 9:36:32, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3685, decode.acc_seg: 70.2199, aux.loss_ce: 0.1650, aux.acc_seg: 69.2288, loss: 0.5335 +2022-06-19 03:58:12,843 - mmseg - INFO - Iter [35750/160000] lr: 2.392e-05, eta: 9:36:16, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4119, decode.acc_seg: 67.4320, aux.loss_ce: 0.1835, aux.acc_seg: 66.4471, loss: 0.5953 +2022-06-19 03:58:26,192 - mmseg - INFO - Iter [35800/160000] lr: 2.391e-05, eta: 9:36:00, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3768, decode.acc_seg: 69.5073, aux.loss_ce: 0.1698, aux.acc_seg: 68.6173, loss: 0.5466 +2022-06-19 03:58:39,744 - mmseg - INFO - Iter [35850/160000] lr: 2.390e-05, eta: 9:35:45, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3880, decode.acc_seg: 68.5149, aux.loss_ce: 0.1746, aux.acc_seg: 67.3962, loss: 0.5625 +2022-06-19 03:58:53,240 - mmseg - INFO - Iter [35900/160000] lr: 2.389e-05, eta: 9:35:30, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3712, decode.acc_seg: 67.9275, aux.loss_ce: 0.1648, aux.acc_seg: 66.9860, loss: 0.5360 +2022-06-19 03:59:06,514 - mmseg - INFO - Iter [35950/160000] lr: 2.388e-05, eta: 9:35:13, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3873, decode.acc_seg: 67.7584, aux.loss_ce: 0.1704, aux.acc_seg: 66.9673, loss: 0.5578 +2022-06-19 03:59:19,997 - mmseg - INFO - Saving checkpoint at 36000 iterations +2022-06-19 03:59:22,907 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 03:59:22,908 - mmseg - INFO - Iter [36000/160000] lr: 2.387e-05, eta: 9:35:08, time: 0.328, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3962, decode.acc_seg: 67.2574, aux.loss_ce: 0.1753, aux.acc_seg: 66.6991, loss: 0.5715 +2022-06-19 03:59:36,193 - mmseg - INFO - Iter [36050/160000] lr: 2.386e-05, eta: 9:34:52, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4037, decode.acc_seg: 67.8397, aux.loss_ce: 0.1800, aux.acc_seg: 66.9895, loss: 0.5837 +2022-06-19 03:59:49,380 - mmseg - INFO - Iter [36100/160000] lr: 2.385e-05, eta: 9:34:36, time: 0.264, data_time: 0.003, memory: 56924, decode.loss_ce: 0.4171, decode.acc_seg: 67.8871, aux.loss_ce: 0.1858, aux.acc_seg: 66.8444, loss: 0.6029 +2022-06-19 04:00:02,907 - mmseg - INFO - Iter [36150/160000] lr: 2.384e-05, eta: 9:34:20, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3813, decode.acc_seg: 67.9622, aux.loss_ce: 0.1691, aux.acc_seg: 66.9919, loss: 0.5504 +2022-06-19 04:00:16,595 - mmseg - INFO - Iter [36200/160000] lr: 2.383e-05, eta: 9:34:06, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4096, decode.acc_seg: 67.4644, aux.loss_ce: 0.1800, aux.acc_seg: 66.5870, loss: 0.5896 +2022-06-19 04:00:30,205 - mmseg - INFO - Iter [36250/160000] lr: 2.382e-05, eta: 9:33:51, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4204, decode.acc_seg: 67.7568, aux.loss_ce: 0.1818, aux.acc_seg: 67.1160, loss: 0.6023 +2022-06-19 04:00:43,731 - mmseg - INFO - Iter [36300/160000] lr: 2.381e-05, eta: 9:33:36, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3996, decode.acc_seg: 68.4829, aux.loss_ce: 0.1773, aux.acc_seg: 67.1445, loss: 0.5769 +2022-06-19 04:00:56,882 - mmseg - INFO - Iter [36350/160000] lr: 2.380e-05, eta: 9:33:19, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3821, decode.acc_seg: 69.4207, aux.loss_ce: 0.1690, aux.acc_seg: 68.1582, loss: 0.5511 +2022-06-19 04:01:10,104 - mmseg - INFO - Iter [36400/160000] lr: 2.379e-05, eta: 9:33:03, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3701, decode.acc_seg: 69.2694, aux.loss_ce: 0.1630, aux.acc_seg: 68.5691, loss: 0.5331 +2022-06-19 04:01:23,585 - mmseg - INFO - Iter [36450/160000] lr: 2.378e-05, eta: 9:32:47, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3687, decode.acc_seg: 69.4468, aux.loss_ce: 0.1646, aux.acc_seg: 68.6040, loss: 0.5333 +2022-06-19 04:01:37,129 - mmseg - INFO - Iter [36500/160000] lr: 2.377e-05, eta: 9:32:32, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3872, decode.acc_seg: 68.1680, aux.loss_ce: 0.1706, aux.acc_seg: 67.4632, loss: 0.5578 +2022-06-19 04:01:50,397 - mmseg - INFO - Iter [36550/160000] lr: 2.376e-05, eta: 9:32:16, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4245, decode.acc_seg: 69.4902, aux.loss_ce: 0.1876, aux.acc_seg: 68.4957, loss: 0.6121 +2022-06-19 04:02:03,764 - mmseg - INFO - Iter [36600/160000] lr: 2.376e-05, eta: 9:32:00, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4100, decode.acc_seg: 68.9587, aux.loss_ce: 0.1813, aux.acc_seg: 67.9985, loss: 0.5912 +2022-06-19 04:02:19,498 - mmseg - INFO - Iter [36650/160000] lr: 2.375e-05, eta: 9:31:53, time: 0.315, data_time: 0.051, memory: 56924, decode.loss_ce: 0.3951, decode.acc_seg: 68.3445, aux.loss_ce: 0.1766, aux.acc_seg: 67.3203, loss: 0.5717 +2022-06-19 04:02:32,748 - mmseg - INFO - Iter [36700/160000] lr: 2.374e-05, eta: 9:31:37, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3577, decode.acc_seg: 69.5301, aux.loss_ce: 0.1583, aux.acc_seg: 68.7325, loss: 0.5160 +2022-06-19 04:02:46,438 - mmseg - INFO - Iter [36750/160000] lr: 2.373e-05, eta: 9:31:22, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3659, decode.acc_seg: 70.1051, aux.loss_ce: 0.1620, aux.acc_seg: 69.0371, loss: 0.5279 +2022-06-19 04:02:59,888 - mmseg - INFO - Iter [36800/160000] lr: 2.372e-05, eta: 9:31:07, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3743, decode.acc_seg: 69.7107, aux.loss_ce: 0.1676, aux.acc_seg: 68.6371, loss: 0.5419 +2022-06-19 04:03:13,339 - mmseg - INFO - Iter [36850/160000] lr: 2.371e-05, eta: 9:30:51, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3699, decode.acc_seg: 69.7701, aux.loss_ce: 0.1663, aux.acc_seg: 68.6505, loss: 0.5362 +2022-06-19 04:03:27,022 - mmseg - INFO - Iter [36900/160000] lr: 2.370e-05, eta: 9:30:36, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3635, decode.acc_seg: 69.4881, aux.loss_ce: 0.1632, aux.acc_seg: 68.4403, loss: 0.5267 +2022-06-19 04:03:40,457 - mmseg - INFO - Iter [36950/160000] lr: 2.369e-05, eta: 9:30:21, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3936, decode.acc_seg: 69.6707, aux.loss_ce: 0.1725, aux.acc_seg: 68.8565, loss: 0.5661 +2022-06-19 04:03:53,719 - mmseg - INFO - Saving checkpoint at 37000 iterations +2022-06-19 04:03:56,653 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 04:03:56,654 - mmseg - INFO - Iter [37000/160000] lr: 2.368e-05, eta: 9:30:15, time: 0.324, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3799, decode.acc_seg: 68.8888, aux.loss_ce: 0.1694, aux.acc_seg: 68.0446, loss: 0.5493 +2022-06-19 04:04:10,461 - mmseg - INFO - Iter [37050/160000] lr: 2.367e-05, eta: 9:30:00, time: 0.276, data_time: 0.007, memory: 56924, decode.loss_ce: 0.3642, decode.acc_seg: 70.3144, aux.loss_ce: 0.1642, aux.acc_seg: 69.2512, loss: 0.5284 +2022-06-19 04:04:23,562 - mmseg - INFO - Iter [37100/160000] lr: 2.366e-05, eta: 9:29:44, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3862, decode.acc_seg: 69.6132, aux.loss_ce: 0.1709, aux.acc_seg: 68.7983, loss: 0.5570 +2022-06-19 04:04:36,966 - mmseg - INFO - Iter [37150/160000] lr: 2.365e-05, eta: 9:29:28, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4034, decode.acc_seg: 68.5538, aux.loss_ce: 0.1782, aux.acc_seg: 67.6432, loss: 0.5816 +2022-06-19 04:04:50,255 - mmseg - INFO - Iter [37200/160000] lr: 2.364e-05, eta: 9:29:12, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3973, decode.acc_seg: 68.4424, aux.loss_ce: 0.1778, aux.acc_seg: 67.4236, loss: 0.5752 +2022-06-19 04:05:03,769 - mmseg - INFO - Iter [37250/160000] lr: 2.363e-05, eta: 9:28:57, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4033, decode.acc_seg: 68.9012, aux.loss_ce: 0.1774, aux.acc_seg: 68.0722, loss: 0.5807 +2022-06-19 04:05:17,079 - mmseg - INFO - Iter [37300/160000] lr: 2.362e-05, eta: 9:28:41, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3784, decode.acc_seg: 68.9115, aux.loss_ce: 0.1683, aux.acc_seg: 68.0374, loss: 0.5467 +2022-06-19 04:05:30,559 - mmseg - INFO - Iter [37350/160000] lr: 2.361e-05, eta: 9:28:26, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3925, decode.acc_seg: 68.9172, aux.loss_ce: 0.1763, aux.acc_seg: 67.7226, loss: 0.5688 +2022-06-19 04:05:44,045 - mmseg - INFO - Iter [37400/160000] lr: 2.360e-05, eta: 9:28:11, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4147, decode.acc_seg: 68.6236, aux.loss_ce: 0.1849, aux.acc_seg: 67.7550, loss: 0.5996 +2022-06-19 04:05:57,391 - mmseg - INFO - Iter [37450/160000] lr: 2.359e-05, eta: 9:27:55, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3890, decode.acc_seg: 68.0965, aux.loss_ce: 0.1724, aux.acc_seg: 67.1376, loss: 0.5614 +2022-06-19 04:06:11,119 - mmseg - INFO - Iter [37500/160000] lr: 2.358e-05, eta: 9:27:40, time: 0.275, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3891, decode.acc_seg: 67.5608, aux.loss_ce: 0.1723, aux.acc_seg: 66.5461, loss: 0.5614 +2022-06-19 04:06:24,705 - mmseg - INFO - Iter [37550/160000] lr: 2.357e-05, eta: 9:27:25, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3576, decode.acc_seg: 69.1066, aux.loss_ce: 0.1597, aux.acc_seg: 68.0193, loss: 0.5173 +2022-06-19 04:06:38,111 - mmseg - INFO - Iter [37600/160000] lr: 2.356e-05, eta: 9:27:10, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3906, decode.acc_seg: 68.8262, aux.loss_ce: 0.1769, aux.acc_seg: 67.6722, loss: 0.5675 +2022-06-19 04:06:51,585 - mmseg - INFO - Iter [37650/160000] lr: 2.355e-05, eta: 9:26:55, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3884, decode.acc_seg: 69.2914, aux.loss_ce: 0.1732, aux.acc_seg: 68.1819, loss: 0.5616 +2022-06-19 04:07:04,826 - mmseg - INFO - Iter [37700/160000] lr: 2.354e-05, eta: 9:26:39, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3910, decode.acc_seg: 68.0366, aux.loss_ce: 0.1739, aux.acc_seg: 66.8882, loss: 0.5649 +2022-06-19 04:07:18,341 - mmseg - INFO - Iter [37750/160000] lr: 2.353e-05, eta: 9:26:24, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4109, decode.acc_seg: 66.8394, aux.loss_ce: 0.1820, aux.acc_seg: 65.9859, loss: 0.5929 +2022-06-19 04:07:31,923 - mmseg - INFO - Iter [37800/160000] lr: 2.352e-05, eta: 9:26:09, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3881, decode.acc_seg: 69.2753, aux.loss_ce: 0.1709, aux.acc_seg: 68.6675, loss: 0.5589 +2022-06-19 04:07:45,329 - mmseg - INFO - Iter [37850/160000] lr: 2.351e-05, eta: 9:25:53, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4318, decode.acc_seg: 67.7371, aux.loss_ce: 0.1893, aux.acc_seg: 66.8067, loss: 0.6210 +2022-06-19 04:08:01,131 - mmseg - INFO - Iter [37900/160000] lr: 2.350e-05, eta: 9:25:45, time: 0.316, data_time: 0.052, memory: 56924, decode.loss_ce: 0.3811, decode.acc_seg: 68.4564, aux.loss_ce: 0.1712, aux.acc_seg: 67.5149, loss: 0.5523 +2022-06-19 04:08:14,903 - mmseg - INFO - Iter [37950/160000] lr: 2.350e-05, eta: 9:25:31, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3718, decode.acc_seg: 69.0945, aux.loss_ce: 0.1686, aux.acc_seg: 68.0252, loss: 0.5403 +2022-06-19 04:08:28,377 - mmseg - INFO - Saving checkpoint at 38000 iterations +2022-06-19 04:08:31,324 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 04:08:31,324 - mmseg - INFO - Iter [38000/160000] lr: 2.349e-05, eta: 9:25:25, time: 0.329, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3933, decode.acc_seg: 69.3835, aux.loss_ce: 0.1762, aux.acc_seg: 68.3137, loss: 0.5695 +2022-06-19 04:08:44,856 - mmseg - INFO - Iter [38050/160000] lr: 2.348e-05, eta: 9:25:10, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3777, decode.acc_seg: 70.7735, aux.loss_ce: 0.1676, aux.acc_seg: 69.8656, loss: 0.5453 +2022-06-19 04:08:58,244 - mmseg - INFO - Iter [38100/160000] lr: 2.347e-05, eta: 9:24:55, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3977, decode.acc_seg: 68.3613, aux.loss_ce: 0.1774, aux.acc_seg: 67.3192, loss: 0.5752 +2022-06-19 04:09:11,769 - mmseg - INFO - Iter [38150/160000] lr: 2.346e-05, eta: 9:24:39, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3860, decode.acc_seg: 68.5926, aux.loss_ce: 0.1722, aux.acc_seg: 67.4991, loss: 0.5582 +2022-06-19 04:09:25,208 - mmseg - INFO - Iter [38200/160000] lr: 2.345e-05, eta: 9:24:24, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3520, decode.acc_seg: 70.4027, aux.loss_ce: 0.1551, aux.acc_seg: 69.5659, loss: 0.5071 +2022-06-19 04:09:38,487 - mmseg - INFO - Iter [38250/160000] lr: 2.344e-05, eta: 9:24:08, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3719, decode.acc_seg: 68.3873, aux.loss_ce: 0.1675, aux.acc_seg: 67.5830, loss: 0.5393 +2022-06-19 04:09:52,016 - mmseg - INFO - Iter [38300/160000] lr: 2.343e-05, eta: 9:23:53, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3986, decode.acc_seg: 68.3763, aux.loss_ce: 0.1793, aux.acc_seg: 67.4140, loss: 0.5780 +2022-06-19 04:10:05,413 - mmseg - INFO - Iter [38350/160000] lr: 2.342e-05, eta: 9:23:38, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3893, decode.acc_seg: 68.7056, aux.loss_ce: 0.1736, aux.acc_seg: 67.6359, loss: 0.5629 +2022-06-19 04:10:19,144 - mmseg - INFO - Iter [38400/160000] lr: 2.341e-05, eta: 9:23:23, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3600, decode.acc_seg: 68.3839, aux.loss_ce: 0.1622, aux.acc_seg: 67.4050, loss: 0.5222 +2022-06-19 04:10:32,407 - mmseg - INFO - Iter [38450/160000] lr: 2.340e-05, eta: 9:23:07, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3586, decode.acc_seg: 68.3439, aux.loss_ce: 0.1617, aux.acc_seg: 67.3836, loss: 0.5203 +2022-06-19 04:10:45,887 - mmseg - INFO - Iter [38500/160000] lr: 2.339e-05, eta: 9:22:52, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3984, decode.acc_seg: 68.4582, aux.loss_ce: 0.1745, aux.acc_seg: 67.5334, loss: 0.5728 +2022-06-19 04:10:59,315 - mmseg - INFO - Iter [38550/160000] lr: 2.338e-05, eta: 9:22:37, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3641, decode.acc_seg: 68.8513, aux.loss_ce: 0.1626, aux.acc_seg: 67.8055, loss: 0.5267 +2022-06-19 04:11:12,833 - mmseg - INFO - Iter [38600/160000] lr: 2.337e-05, eta: 9:22:22, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3780, decode.acc_seg: 68.6935, aux.loss_ce: 0.1693, aux.acc_seg: 67.7564, loss: 0.5473 +2022-06-19 04:11:26,183 - mmseg - INFO - Iter [38650/160000] lr: 2.336e-05, eta: 9:22:06, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3634, decode.acc_seg: 69.9183, aux.loss_ce: 0.1622, aux.acc_seg: 68.8952, loss: 0.5256 +2022-06-19 04:11:39,636 - mmseg - INFO - Iter [38700/160000] lr: 2.335e-05, eta: 9:21:51, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4003, decode.acc_seg: 68.9673, aux.loss_ce: 0.1770, aux.acc_seg: 68.1941, loss: 0.5773 +2022-06-19 04:11:53,135 - mmseg - INFO - Iter [38750/160000] lr: 2.334e-05, eta: 9:21:36, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3694, decode.acc_seg: 68.2946, aux.loss_ce: 0.1634, aux.acc_seg: 67.3646, loss: 0.5328 +2022-06-19 04:12:06,621 - mmseg - INFO - Iter [38800/160000] lr: 2.333e-05, eta: 9:21:20, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3828, decode.acc_seg: 67.8896, aux.loss_ce: 0.1705, aux.acc_seg: 66.9780, loss: 0.5533 +2022-06-19 04:12:20,128 - mmseg - INFO - Iter [38850/160000] lr: 2.332e-05, eta: 9:21:05, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3788, decode.acc_seg: 68.3783, aux.loss_ce: 0.1670, aux.acc_seg: 67.6788, loss: 0.5458 +2022-06-19 04:12:33,435 - mmseg - INFO - Iter [38900/160000] lr: 2.331e-05, eta: 9:20:50, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3928, decode.acc_seg: 68.7220, aux.loss_ce: 0.1736, aux.acc_seg: 67.6314, loss: 0.5664 +2022-06-19 04:12:46,465 - mmseg - INFO - Iter [38950/160000] lr: 2.330e-05, eta: 9:20:33, time: 0.261, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3931, decode.acc_seg: 68.8955, aux.loss_ce: 0.1768, aux.acc_seg: 67.7591, loss: 0.5699 +2022-06-19 04:12:59,838 - mmseg - INFO - Saving checkpoint at 39000 iterations +2022-06-19 04:13:02,736 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 04:13:02,736 - mmseg - INFO - Iter [39000/160000] lr: 2.329e-05, eta: 9:20:26, time: 0.325, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3859, decode.acc_seg: 68.3567, aux.loss_ce: 0.1705, aux.acc_seg: 67.5250, loss: 0.5564 +2022-06-19 04:13:15,950 - mmseg - INFO - Iter [39050/160000] lr: 2.328e-05, eta: 9:20:10, time: 0.264, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3912, decode.acc_seg: 67.1028, aux.loss_ce: 0.1742, aux.acc_seg: 66.0568, loss: 0.5654 +2022-06-19 04:13:29,486 - mmseg - INFO - Iter [39100/160000] lr: 2.327e-05, eta: 9:19:55, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3948, decode.acc_seg: 68.7562, aux.loss_ce: 0.1761, aux.acc_seg: 67.8107, loss: 0.5709 +2022-06-19 04:13:42,926 - mmseg - INFO - Iter [39150/160000] lr: 2.326e-05, eta: 9:19:40, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4165, decode.acc_seg: 69.3937, aux.loss_ce: 0.1832, aux.acc_seg: 68.4912, loss: 0.5997 +2022-06-19 04:13:58,726 - mmseg - INFO - Iter [39200/160000] lr: 2.325e-05, eta: 9:19:32, time: 0.316, data_time: 0.051, memory: 56924, decode.loss_ce: 0.3857, decode.acc_seg: 70.7357, aux.loss_ce: 0.1729, aux.acc_seg: 69.7361, loss: 0.5586 +2022-06-19 04:14:12,165 - mmseg - INFO - Iter [39250/160000] lr: 2.324e-05, eta: 9:19:17, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3719, decode.acc_seg: 68.5523, aux.loss_ce: 0.1648, aux.acc_seg: 67.6866, loss: 0.5367 +2022-06-19 04:14:25,634 - mmseg - INFO - Iter [39300/160000] lr: 2.324e-05, eta: 9:19:02, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3775, decode.acc_seg: 69.4545, aux.loss_ce: 0.1694, aux.acc_seg: 68.4590, loss: 0.5468 +2022-06-19 04:14:39,119 - mmseg - INFO - Iter [39350/160000] lr: 2.323e-05, eta: 9:18:46, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3830, decode.acc_seg: 69.7024, aux.loss_ce: 0.1731, aux.acc_seg: 68.5729, loss: 0.5561 +2022-06-19 04:14:52,584 - mmseg - INFO - Iter [39400/160000] lr: 2.322e-05, eta: 9:18:31, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3616, decode.acc_seg: 68.6103, aux.loss_ce: 0.1603, aux.acc_seg: 67.8562, loss: 0.5219 +2022-06-19 04:15:06,230 - mmseg - INFO - Iter [39450/160000] lr: 2.321e-05, eta: 9:18:17, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3582, decode.acc_seg: 68.7720, aux.loss_ce: 0.1577, aux.acc_seg: 67.9145, loss: 0.5159 +2022-06-19 04:15:19,476 - mmseg - INFO - Iter [39500/160000] lr: 2.320e-05, eta: 9:18:01, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3712, decode.acc_seg: 69.8449, aux.loss_ce: 0.1658, aux.acc_seg: 68.8037, loss: 0.5371 +2022-06-19 04:15:32,736 - mmseg - INFO - Iter [39550/160000] lr: 2.319e-05, eta: 9:17:45, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3680, decode.acc_seg: 68.3196, aux.loss_ce: 0.1645, aux.acc_seg: 67.3775, loss: 0.5325 +2022-06-19 04:15:46,048 - mmseg - INFO - Iter [39600/160000] lr: 2.318e-05, eta: 9:17:29, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3798, decode.acc_seg: 68.5048, aux.loss_ce: 0.1711, aux.acc_seg: 67.4865, loss: 0.5509 +2022-06-19 04:15:59,549 - mmseg - INFO - Iter [39650/160000] lr: 2.317e-05, eta: 9:17:14, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3573, decode.acc_seg: 69.0329, aux.loss_ce: 0.1608, aux.acc_seg: 68.1301, loss: 0.5180 +2022-06-19 04:16:13,022 - mmseg - INFO - Iter [39700/160000] lr: 2.316e-05, eta: 9:16:59, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3685, decode.acc_seg: 70.1973, aux.loss_ce: 0.1646, aux.acc_seg: 69.2673, loss: 0.5331 +2022-06-19 04:16:26,698 - mmseg - INFO - Iter [39750/160000] lr: 2.315e-05, eta: 9:16:44, time: 0.274, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3609, decode.acc_seg: 70.2517, aux.loss_ce: 0.1618, aux.acc_seg: 69.2986, loss: 0.5227 +2022-06-19 04:16:40,427 - mmseg - INFO - Iter [39800/160000] lr: 2.314e-05, eta: 9:16:30, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3697, decode.acc_seg: 69.9423, aux.loss_ce: 0.1647, aux.acc_seg: 68.7648, loss: 0.5344 +2022-06-19 04:16:53,648 - mmseg - INFO - Iter [39850/160000] lr: 2.313e-05, eta: 9:16:14, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3861, decode.acc_seg: 69.1362, aux.loss_ce: 0.1737, aux.acc_seg: 67.9773, loss: 0.5598 +2022-06-19 04:17:07,130 - mmseg - INFO - Iter [39900/160000] lr: 2.312e-05, eta: 9:15:59, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3670, decode.acc_seg: 68.7232, aux.loss_ce: 0.1634, aux.acc_seg: 67.7152, loss: 0.5305 +2022-06-19 04:17:20,736 - mmseg - INFO - Iter [39950/160000] lr: 2.311e-05, eta: 9:15:44, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3757, decode.acc_seg: 70.0478, aux.loss_ce: 0.1702, aux.acc_seg: 68.6269, loss: 0.5459 +2022-06-19 04:17:34,140 - mmseg - INFO - Saving checkpoint at 40000 iterations +2022-06-19 04:17:37,092 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 04:17:37,092 - mmseg - INFO - Iter [40000/160000] lr: 2.310e-05, eta: 9:15:38, time: 0.327, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3831, decode.acc_seg: 67.7803, aux.loss_ce: 0.1709, aux.acc_seg: 66.8477, loss: 0.5540 +2022-06-19 04:17:50,576 - mmseg - INFO - Iter [40050/160000] lr: 2.309e-05, eta: 9:15:23, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3974, decode.acc_seg: 68.5276, aux.loss_ce: 0.1774, aux.acc_seg: 67.4821, loss: 0.5748 +2022-06-19 04:18:04,244 - mmseg - INFO - Iter [40100/160000] lr: 2.308e-05, eta: 9:15:08, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3774, decode.acc_seg: 68.9836, aux.loss_ce: 0.1678, aux.acc_seg: 68.0772, loss: 0.5453 +2022-06-19 04:18:17,526 - mmseg - INFO - Iter [40150/160000] lr: 2.307e-05, eta: 9:14:52, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3656, decode.acc_seg: 69.9706, aux.loss_ce: 0.1622, aux.acc_seg: 68.8827, loss: 0.5278 +2022-06-19 04:18:30,846 - mmseg - INFO - Iter [40200/160000] lr: 2.306e-05, eta: 9:14:37, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3607, decode.acc_seg: 69.6444, aux.loss_ce: 0.1618, aux.acc_seg: 68.5993, loss: 0.5225 +2022-06-19 04:18:44,125 - mmseg - INFO - Iter [40250/160000] lr: 2.305e-05, eta: 9:14:21, time: 0.266, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3905, decode.acc_seg: 68.8618, aux.loss_ce: 0.1771, aux.acc_seg: 67.6310, loss: 0.5677 +2022-06-19 04:18:57,792 - mmseg - INFO - Iter [40300/160000] lr: 2.304e-05, eta: 9:14:07, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3527, decode.acc_seg: 68.0075, aux.loss_ce: 0.1563, aux.acc_seg: 67.1860, loss: 0.5090 +2022-06-19 04:19:11,048 - mmseg - INFO - Iter [40350/160000] lr: 2.303e-05, eta: 9:13:51, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3653, decode.acc_seg: 70.0979, aux.loss_ce: 0.1610, aux.acc_seg: 69.4105, loss: 0.5263 +2022-06-19 04:19:24,482 - mmseg - INFO - Iter [40400/160000] lr: 2.302e-05, eta: 9:13:36, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3766, decode.acc_seg: 68.8097, aux.loss_ce: 0.1669, aux.acc_seg: 67.8572, loss: 0.5435 +2022-06-19 04:19:40,018 - mmseg - INFO - Iter [40450/160000] lr: 2.301e-05, eta: 9:13:27, time: 0.311, data_time: 0.049, memory: 56924, decode.loss_ce: 0.3592, decode.acc_seg: 67.7707, aux.loss_ce: 0.1625, aux.acc_seg: 66.6944, loss: 0.5217 +2022-06-19 04:19:53,312 - mmseg - INFO - Iter [40500/160000] lr: 2.300e-05, eta: 9:13:11, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3531, decode.acc_seg: 71.0763, aux.loss_ce: 0.1596, aux.acc_seg: 70.0079, loss: 0.5127 +2022-06-19 04:20:06,771 - mmseg - INFO - Iter [40550/160000] lr: 2.299e-05, eta: 9:12:56, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3673, decode.acc_seg: 70.3061, aux.loss_ce: 0.1660, aux.acc_seg: 69.1989, loss: 0.5333 +2022-06-19 04:20:20,278 - mmseg - INFO - Iter [40600/160000] lr: 2.299e-05, eta: 9:12:41, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3820, decode.acc_seg: 67.7267, aux.loss_ce: 0.1701, aux.acc_seg: 66.6382, loss: 0.5522 +2022-06-19 04:20:33,809 - mmseg - INFO - Iter [40650/160000] lr: 2.298e-05, eta: 9:12:26, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3697, decode.acc_seg: 67.8593, aux.loss_ce: 0.1652, aux.acc_seg: 66.8925, loss: 0.5348 +2022-06-19 04:20:47,158 - mmseg - INFO - Iter [40700/160000] lr: 2.297e-05, eta: 9:12:10, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3596, decode.acc_seg: 69.3431, aux.loss_ce: 0.1608, aux.acc_seg: 68.5739, loss: 0.5204 +2022-06-19 04:21:00,641 - mmseg - INFO - Iter [40750/160000] lr: 2.296e-05, eta: 9:11:55, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3782, decode.acc_seg: 69.6426, aux.loss_ce: 0.1656, aux.acc_seg: 68.8269, loss: 0.5438 +2022-06-19 04:21:14,236 - mmseg - INFO - Iter [40800/160000] lr: 2.295e-05, eta: 9:11:41, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3819, decode.acc_seg: 68.9546, aux.loss_ce: 0.1669, aux.acc_seg: 68.0620, loss: 0.5488 +2022-06-19 04:21:27,549 - mmseg - INFO - Iter [40850/160000] lr: 2.294e-05, eta: 9:11:25, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3595, decode.acc_seg: 68.9976, aux.loss_ce: 0.1606, aux.acc_seg: 68.0801, loss: 0.5200 +2022-06-19 04:21:41,008 - mmseg - INFO - Iter [40900/160000] lr: 2.293e-05, eta: 9:11:10, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3775, decode.acc_seg: 69.0239, aux.loss_ce: 0.1690, aux.acc_seg: 68.1871, loss: 0.5465 +2022-06-19 04:21:54,534 - mmseg - INFO - Iter [40950/160000] lr: 2.292e-05, eta: 9:10:55, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3834, decode.acc_seg: 69.1261, aux.loss_ce: 0.1683, aux.acc_seg: 68.4318, loss: 0.5517 +2022-06-19 04:22:07,669 - mmseg - INFO - Saving checkpoint at 41000 iterations +2022-06-19 04:22:10,604 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 04:22:10,604 - mmseg - INFO - Iter [41000/160000] lr: 2.291e-05, eta: 9:10:48, time: 0.322, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3708, decode.acc_seg: 69.4066, aux.loss_ce: 0.1648, aux.acc_seg: 68.5966, loss: 0.5355 +2022-06-19 04:22:23,807 - mmseg - INFO - Iter [41050/160000] lr: 2.290e-05, eta: 9:10:32, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3750, decode.acc_seg: 69.2837, aux.loss_ce: 0.1701, aux.acc_seg: 68.0442, loss: 0.5451 +2022-06-19 04:22:37,466 - mmseg - INFO - Iter [41100/160000] lr: 2.289e-05, eta: 9:10:17, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3712, decode.acc_seg: 69.9533, aux.loss_ce: 0.1658, aux.acc_seg: 69.0972, loss: 0.5370 +2022-06-19 04:22:51,255 - mmseg - INFO - Iter [41150/160000] lr: 2.288e-05, eta: 9:10:03, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3926, decode.acc_seg: 68.1570, aux.loss_ce: 0.1751, aux.acc_seg: 67.1781, loss: 0.5677 +2022-06-19 04:23:04,941 - mmseg - INFO - Iter [41200/160000] lr: 2.287e-05, eta: 9:09:48, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3474, decode.acc_seg: 68.7653, aux.loss_ce: 0.1533, aux.acc_seg: 68.0161, loss: 0.5006 +2022-06-19 04:23:18,449 - mmseg - INFO - Iter [41250/160000] lr: 2.286e-05, eta: 9:09:34, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3826, decode.acc_seg: 69.6562, aux.loss_ce: 0.1713, aux.acc_seg: 68.6853, loss: 0.5538 +2022-06-19 04:23:31,730 - mmseg - INFO - Iter [41300/160000] lr: 2.285e-05, eta: 9:09:18, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3726, decode.acc_seg: 69.9092, aux.loss_ce: 0.1654, aux.acc_seg: 69.0014, loss: 0.5380 +2022-06-19 04:23:44,948 - mmseg - INFO - Iter [41350/160000] lr: 2.284e-05, eta: 9:09:02, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3525, decode.acc_seg: 68.3600, aux.loss_ce: 0.1571, aux.acc_seg: 67.4439, loss: 0.5096 +2022-06-19 04:23:58,329 - mmseg - INFO - Iter [41400/160000] lr: 2.283e-05, eta: 9:08:47, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3931, decode.acc_seg: 68.2528, aux.loss_ce: 0.1768, aux.acc_seg: 67.1067, loss: 0.5698 +2022-06-19 04:24:12,150 - mmseg - INFO - Iter [41450/160000] lr: 2.282e-05, eta: 9:08:33, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3764, decode.acc_seg: 69.6199, aux.loss_ce: 0.1686, aux.acc_seg: 68.7309, loss: 0.5450 +2022-06-19 04:24:25,648 - mmseg - INFO - Iter [41500/160000] lr: 2.281e-05, eta: 9:08:18, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3701, decode.acc_seg: 69.2276, aux.loss_ce: 0.1652, aux.acc_seg: 68.0234, loss: 0.5353 +2022-06-19 04:24:39,254 - mmseg - INFO - Iter [41550/160000] lr: 2.280e-05, eta: 9:08:03, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3773, decode.acc_seg: 69.2676, aux.loss_ce: 0.1670, aux.acc_seg: 68.4413, loss: 0.5443 +2022-06-19 04:24:52,901 - mmseg - INFO - Iter [41600/160000] lr: 2.279e-05, eta: 9:07:48, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3693, decode.acc_seg: 69.5313, aux.loss_ce: 0.1649, aux.acc_seg: 68.4827, loss: 0.5342 +2022-06-19 04:25:06,364 - mmseg - INFO - Iter [41650/160000] lr: 2.278e-05, eta: 9:07:33, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3635, decode.acc_seg: 70.2351, aux.loss_ce: 0.1616, aux.acc_seg: 69.2778, loss: 0.5252 +2022-06-19 04:25:22,206 - mmseg - INFO - Iter [41700/160000] lr: 2.277e-05, eta: 9:07:25, time: 0.317, data_time: 0.050, memory: 56924, decode.loss_ce: 0.3766, decode.acc_seg: 70.7260, aux.loss_ce: 0.1694, aux.acc_seg: 69.6239, loss: 0.5460 +2022-06-19 04:25:35,701 - mmseg - INFO - Iter [41750/160000] lr: 2.276e-05, eta: 9:07:10, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3691, decode.acc_seg: 69.6831, aux.loss_ce: 0.1636, aux.acc_seg: 68.6637, loss: 0.5327 +2022-06-19 04:25:49,264 - mmseg - INFO - Iter [41800/160000] lr: 2.275e-05, eta: 9:06:55, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3573, decode.acc_seg: 69.2125, aux.loss_ce: 0.1597, aux.acc_seg: 68.3309, loss: 0.5170 +2022-06-19 04:26:02,819 - mmseg - INFO - Iter [41850/160000] lr: 2.274e-05, eta: 9:06:41, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3706, decode.acc_seg: 69.5930, aux.loss_ce: 0.1664, aux.acc_seg: 68.5636, loss: 0.5370 +2022-06-19 04:26:16,215 - mmseg - INFO - Iter [41900/160000] lr: 2.273e-05, eta: 9:06:25, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3642, decode.acc_seg: 70.2495, aux.loss_ce: 0.1632, aux.acc_seg: 69.3767, loss: 0.5274 +2022-06-19 04:26:29,660 - mmseg - INFO - Iter [41950/160000] lr: 2.273e-05, eta: 9:06:10, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3615, decode.acc_seg: 68.1561, aux.loss_ce: 0.1603, aux.acc_seg: 67.2759, loss: 0.5218 +2022-06-19 04:26:43,336 - mmseg - INFO - Saving checkpoint at 42000 iterations +2022-06-19 04:26:46,221 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 04:26:46,221 - mmseg - INFO - Iter [42000/160000] lr: 2.272e-05, eta: 9:06:04, time: 0.331, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3505, decode.acc_seg: 68.2116, aux.loss_ce: 0.1581, aux.acc_seg: 67.2887, loss: 0.5086 +2022-06-19 04:26:59,629 - mmseg - INFO - Iter [42050/160000] lr: 2.271e-05, eta: 9:05:49, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3544, decode.acc_seg: 68.2957, aux.loss_ce: 0.1589, aux.acc_seg: 67.4698, loss: 0.5132 +2022-06-19 04:27:12,986 - mmseg - INFO - Iter [42100/160000] lr: 2.270e-05, eta: 9:05:33, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3623, decode.acc_seg: 70.1580, aux.loss_ce: 0.1621, aux.acc_seg: 69.2966, loss: 0.5244 +2022-06-19 04:27:26,467 - mmseg - INFO - Iter [42150/160000] lr: 2.269e-05, eta: 9:05:18, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3687, decode.acc_seg: 70.9843, aux.loss_ce: 0.1658, aux.acc_seg: 70.0239, loss: 0.5345 +2022-06-19 04:27:39,985 - mmseg - INFO - Iter [42200/160000] lr: 2.268e-05, eta: 9:05:03, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3708, decode.acc_seg: 70.2457, aux.loss_ce: 0.1637, aux.acc_seg: 69.5229, loss: 0.5345 +2022-06-19 04:27:53,318 - mmseg - INFO - Iter [42250/160000] lr: 2.267e-05, eta: 9:04:48, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3651, decode.acc_seg: 68.2093, aux.loss_ce: 0.1633, aux.acc_seg: 67.2701, loss: 0.5284 +2022-06-19 04:28:06,636 - mmseg - INFO - Iter [42300/160000] lr: 2.266e-05, eta: 9:04:33, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3809, decode.acc_seg: 69.1017, aux.loss_ce: 0.1694, aux.acc_seg: 68.2902, loss: 0.5503 +2022-06-19 04:28:20,264 - mmseg - INFO - Iter [42350/160000] lr: 2.265e-05, eta: 9:04:18, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3596, decode.acc_seg: 70.1311, aux.loss_ce: 0.1612, aux.acc_seg: 69.0594, loss: 0.5207 +2022-06-19 04:28:33,751 - mmseg - INFO - Iter [42400/160000] lr: 2.264e-05, eta: 9:04:03, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3848, decode.acc_seg: 69.7853, aux.loss_ce: 0.1686, aux.acc_seg: 68.8548, loss: 0.5533 +2022-06-19 04:28:47,031 - mmseg - INFO - Iter [42450/160000] lr: 2.263e-05, eta: 9:03:47, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3446, decode.acc_seg: 71.0279, aux.loss_ce: 0.1541, aux.acc_seg: 70.0415, loss: 0.4987 +2022-06-19 04:29:00,579 - mmseg - INFO - Iter [42500/160000] lr: 2.262e-05, eta: 9:03:33, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3439, decode.acc_seg: 69.2120, aux.loss_ce: 0.1552, aux.acc_seg: 68.1667, loss: 0.4990 +2022-06-19 04:29:13,797 - mmseg - INFO - Iter [42550/160000] lr: 2.261e-05, eta: 9:03:17, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3863, decode.acc_seg: 69.4051, aux.loss_ce: 0.1734, aux.acc_seg: 68.4824, loss: 0.5597 +2022-06-19 04:29:27,149 - mmseg - INFO - Iter [42600/160000] lr: 2.260e-05, eta: 9:03:02, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3492, decode.acc_seg: 70.1488, aux.loss_ce: 0.1566, aux.acc_seg: 69.1880, loss: 0.5059 +2022-06-19 04:29:40,723 - mmseg - INFO - Iter [42650/160000] lr: 2.259e-05, eta: 9:02:47, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3776, decode.acc_seg: 68.2577, aux.loss_ce: 0.1680, aux.acc_seg: 67.4347, loss: 0.5456 +2022-06-19 04:29:54,379 - mmseg - INFO - Iter [42700/160000] lr: 2.258e-05, eta: 9:02:32, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4041, decode.acc_seg: 67.9336, aux.loss_ce: 0.1761, aux.acc_seg: 67.0067, loss: 0.5803 +2022-06-19 04:30:07,872 - mmseg - INFO - Iter [42750/160000] lr: 2.257e-05, eta: 9:02:18, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3756, decode.acc_seg: 68.2412, aux.loss_ce: 0.1666, aux.acc_seg: 67.3019, loss: 0.5423 +2022-06-19 04:30:21,212 - mmseg - INFO - Iter [42800/160000] lr: 2.256e-05, eta: 9:02:02, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3722, decode.acc_seg: 68.9764, aux.loss_ce: 0.1661, aux.acc_seg: 68.0811, loss: 0.5383 +2022-06-19 04:30:34,513 - mmseg - INFO - Iter [42850/160000] lr: 2.255e-05, eta: 9:01:47, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3469, decode.acc_seg: 70.4583, aux.loss_ce: 0.1536, aux.acc_seg: 69.7040, loss: 0.5006 +2022-06-19 04:30:47,942 - mmseg - INFO - Iter [42900/160000] lr: 2.254e-05, eta: 9:01:32, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.4012, decode.acc_seg: 70.1452, aux.loss_ce: 0.1785, aux.acc_seg: 68.9532, loss: 0.5797 +2022-06-19 04:31:03,622 - mmseg - INFO - Iter [42950/160000] lr: 2.253e-05, eta: 9:01:23, time: 0.313, data_time: 0.051, memory: 56924, decode.loss_ce: 0.3686, decode.acc_seg: 69.6169, aux.loss_ce: 0.1644, aux.acc_seg: 68.6006, loss: 0.5330 +2022-06-19 04:31:17,066 - mmseg - INFO - Saving checkpoint at 43000 iterations +2022-06-19 04:31:19,999 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 04:31:20,000 - mmseg - INFO - Iter [43000/160000] lr: 2.252e-05, eta: 9:01:16, time: 0.328, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3423, decode.acc_seg: 69.6095, aux.loss_ce: 0.1546, aux.acc_seg: 68.5959, loss: 0.4968 +2022-06-19 04:31:33,538 - mmseg - INFO - Iter [43050/160000] lr: 2.251e-05, eta: 9:01:01, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3360, decode.acc_seg: 70.2068, aux.loss_ce: 0.1511, aux.acc_seg: 69.3854, loss: 0.4872 +2022-06-19 04:31:47,043 - mmseg - INFO - Iter [43100/160000] lr: 2.250e-05, eta: 9:00:46, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3514, decode.acc_seg: 69.7659, aux.loss_ce: 0.1602, aux.acc_seg: 68.5616, loss: 0.5117 +2022-06-19 04:32:00,588 - mmseg - INFO - Iter [43150/160000] lr: 2.249e-05, eta: 9:00:31, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3461, decode.acc_seg: 68.6656, aux.loss_ce: 0.1556, aux.acc_seg: 67.7467, loss: 0.5017 +2022-06-19 04:32:13,915 - mmseg - INFO - Iter [43200/160000] lr: 2.248e-05, eta: 9:00:16, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3682, decode.acc_seg: 69.8979, aux.loss_ce: 0.1662, aux.acc_seg: 68.6313, loss: 0.5345 +2022-06-19 04:32:27,349 - mmseg - INFO - Iter [43250/160000] lr: 2.247e-05, eta: 9:00:01, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3670, decode.acc_seg: 68.9028, aux.loss_ce: 0.1648, aux.acc_seg: 67.8769, loss: 0.5318 +2022-06-19 04:32:40,815 - mmseg - INFO - Iter [43300/160000] lr: 2.247e-05, eta: 8:59:46, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3532, decode.acc_seg: 69.7401, aux.loss_ce: 0.1595, aux.acc_seg: 68.6707, loss: 0.5127 +2022-06-19 04:32:54,139 - mmseg - INFO - Iter [43350/160000] lr: 2.246e-05, eta: 8:59:30, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3505, decode.acc_seg: 70.4498, aux.loss_ce: 0.1572, aux.acc_seg: 69.3129, loss: 0.5078 +2022-06-19 04:33:07,436 - mmseg - INFO - Iter [43400/160000] lr: 2.245e-05, eta: 8:59:15, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3394, decode.acc_seg: 70.7987, aux.loss_ce: 0.1547, aux.acc_seg: 69.7195, loss: 0.4942 +2022-06-19 04:33:20,778 - mmseg - INFO - Iter [43450/160000] lr: 2.244e-05, eta: 8:59:00, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3649, decode.acc_seg: 68.0122, aux.loss_ce: 0.1662, aux.acc_seg: 66.8037, loss: 0.5311 +2022-06-19 04:33:34,069 - mmseg - INFO - Iter [43500/160000] lr: 2.243e-05, eta: 8:58:44, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3914, decode.acc_seg: 68.2425, aux.loss_ce: 0.1770, aux.acc_seg: 67.0115, loss: 0.5684 +2022-06-19 04:33:47,565 - mmseg - INFO - Iter [43550/160000] lr: 2.242e-05, eta: 8:58:29, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3883, decode.acc_seg: 69.6545, aux.loss_ce: 0.1688, aux.acc_seg: 68.8681, loss: 0.5571 +2022-06-19 04:34:00,681 - mmseg - INFO - Iter [43600/160000] lr: 2.241e-05, eta: 8:58:13, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3755, decode.acc_seg: 69.5536, aux.loss_ce: 0.1677, aux.acc_seg: 68.4623, loss: 0.5431 +2022-06-19 04:34:14,069 - mmseg - INFO - Iter [43650/160000] lr: 2.240e-05, eta: 8:57:58, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3670, decode.acc_seg: 68.3586, aux.loss_ce: 0.1606, aux.acc_seg: 67.6168, loss: 0.5277 +2022-06-19 04:34:27,379 - mmseg - INFO - Iter [43700/160000] lr: 2.239e-05, eta: 8:57:43, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3589, decode.acc_seg: 70.0907, aux.loss_ce: 0.1587, aux.acc_seg: 69.2084, loss: 0.5177 +2022-06-19 04:34:40,927 - mmseg - INFO - Iter [43750/160000] lr: 2.238e-05, eta: 8:57:28, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3471, decode.acc_seg: 68.3346, aux.loss_ce: 0.1544, aux.acc_seg: 67.3556, loss: 0.5014 +2022-06-19 04:34:54,098 - mmseg - INFO - Iter [43800/160000] lr: 2.237e-05, eta: 8:57:12, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3912, decode.acc_seg: 69.3439, aux.loss_ce: 0.1734, aux.acc_seg: 68.3668, loss: 0.5646 +2022-06-19 04:35:07,496 - mmseg - INFO - Iter [43850/160000] lr: 2.236e-05, eta: 8:56:57, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3812, decode.acc_seg: 70.2815, aux.loss_ce: 0.1674, aux.acc_seg: 69.2774, loss: 0.5487 +2022-06-19 04:35:20,763 - mmseg - INFO - Iter [43900/160000] lr: 2.235e-05, eta: 8:56:42, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3668, decode.acc_seg: 69.3474, aux.loss_ce: 0.1651, aux.acc_seg: 68.3466, loss: 0.5320 +2022-06-19 04:35:34,353 - mmseg - INFO - Iter [43950/160000] lr: 2.234e-05, eta: 8:56:27, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3375, decode.acc_seg: 69.9329, aux.loss_ce: 0.1518, aux.acc_seg: 68.9520, loss: 0.4893 +2022-06-19 04:35:47,568 - mmseg - INFO - Saving checkpoint at 44000 iterations +2022-06-19 04:35:50,528 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 04:35:50,529 - mmseg - INFO - Iter [44000/160000] lr: 2.233e-05, eta: 8:56:19, time: 0.324, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3631, decode.acc_seg: 68.6116, aux.loss_ce: 0.1597, aux.acc_seg: 67.8625, loss: 0.5228 +2022-06-19 04:36:04,081 - mmseg - INFO - Iter [44050/160000] lr: 2.232e-05, eta: 8:56:05, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3525, decode.acc_seg: 71.5250, aux.loss_ce: 0.1591, aux.acc_seg: 70.5842, loss: 0.5116 +2022-06-19 04:36:17,657 - mmseg - INFO - Iter [44100/160000] lr: 2.231e-05, eta: 8:55:50, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3660, decode.acc_seg: 70.3345, aux.loss_ce: 0.1632, aux.acc_seg: 69.4340, loss: 0.5292 +2022-06-19 04:36:30,912 - mmseg - INFO - Iter [44150/160000] lr: 2.230e-05, eta: 8:55:35, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3836, decode.acc_seg: 68.6839, aux.loss_ce: 0.1691, aux.acc_seg: 67.8567, loss: 0.5527 +2022-06-19 04:36:44,080 - mmseg - INFO - Iter [44200/160000] lr: 2.229e-05, eta: 8:55:19, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3574, decode.acc_seg: 70.4329, aux.loss_ce: 0.1579, aux.acc_seg: 69.4611, loss: 0.5153 +2022-06-19 04:37:00,075 - mmseg - INFO - Iter [44250/160000] lr: 2.228e-05, eta: 8:55:11, time: 0.320, data_time: 0.053, memory: 56924, decode.loss_ce: 0.3549, decode.acc_seg: 69.4634, aux.loss_ce: 0.1595, aux.acc_seg: 68.3450, loss: 0.5144 +2022-06-19 04:37:13,631 - mmseg - INFO - Iter [44300/160000] lr: 2.227e-05, eta: 8:54:56, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3506, decode.acc_seg: 69.5331, aux.loss_ce: 0.1574, aux.acc_seg: 68.6536, loss: 0.5080 +2022-06-19 04:37:27,226 - mmseg - INFO - Iter [44350/160000] lr: 2.226e-05, eta: 8:54:41, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3545, decode.acc_seg: 70.0051, aux.loss_ce: 0.1605, aux.acc_seg: 68.8353, loss: 0.5151 +2022-06-19 04:37:40,558 - mmseg - INFO - Iter [44400/160000] lr: 2.225e-05, eta: 8:54:26, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3580, decode.acc_seg: 70.4584, aux.loss_ce: 0.1615, aux.acc_seg: 69.4400, loss: 0.5195 +2022-06-19 04:37:54,098 - mmseg - INFO - Iter [44450/160000] lr: 2.224e-05, eta: 8:54:11, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3731, decode.acc_seg: 69.6515, aux.loss_ce: 0.1690, aux.acc_seg: 68.6110, loss: 0.5421 +2022-06-19 04:38:07,591 - mmseg - INFO - Iter [44500/160000] lr: 2.223e-05, eta: 8:53:56, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3403, decode.acc_seg: 69.3238, aux.loss_ce: 0.1533, aux.acc_seg: 68.4645, loss: 0.4936 +2022-06-19 04:38:21,010 - mmseg - INFO - Iter [44550/160000] lr: 2.222e-05, eta: 8:53:41, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3551, decode.acc_seg: 70.0024, aux.loss_ce: 0.1595, aux.acc_seg: 68.8087, loss: 0.5146 +2022-06-19 04:38:34,599 - mmseg - INFO - Iter [44600/160000] lr: 2.222e-05, eta: 8:53:27, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3528, decode.acc_seg: 68.9395, aux.loss_ce: 0.1609, aux.acc_seg: 67.7421, loss: 0.5137 +2022-06-19 04:38:48,003 - mmseg - INFO - Iter [44650/160000] lr: 2.221e-05, eta: 8:53:12, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3424, decode.acc_seg: 70.5112, aux.loss_ce: 0.1554, aux.acc_seg: 69.4127, loss: 0.4978 +2022-06-19 04:39:01,236 - mmseg - INFO - Iter [44700/160000] lr: 2.220e-05, eta: 8:52:56, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3638, decode.acc_seg: 69.3591, aux.loss_ce: 0.1646, aux.acc_seg: 68.2721, loss: 0.5284 +2022-06-19 04:39:14,738 - mmseg - INFO - Iter [44750/160000] lr: 2.219e-05, eta: 8:52:41, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3409, decode.acc_seg: 70.8086, aux.loss_ce: 0.1532, aux.acc_seg: 70.0071, loss: 0.4941 +2022-06-19 04:39:27,957 - mmseg - INFO - Iter [44800/160000] lr: 2.218e-05, eta: 8:52:26, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3512, decode.acc_seg: 69.7958, aux.loss_ce: 0.1587, aux.acc_seg: 68.6799, loss: 0.5099 +2022-06-19 04:39:41,514 - mmseg - INFO - Iter [44850/160000] lr: 2.217e-05, eta: 8:52:11, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3511, decode.acc_seg: 69.4036, aux.loss_ce: 0.1563, aux.acc_seg: 68.4682, loss: 0.5075 +2022-06-19 04:39:54,839 - mmseg - INFO - Iter [44900/160000] lr: 2.216e-05, eta: 8:51:56, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3359, decode.acc_seg: 71.2139, aux.loss_ce: 0.1508, aux.acc_seg: 70.1569, loss: 0.4867 +2022-06-19 04:40:07,989 - mmseg - INFO - Iter [44950/160000] lr: 2.215e-05, eta: 8:51:40, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3759, decode.acc_seg: 69.2134, aux.loss_ce: 0.1657, aux.acc_seg: 68.1770, loss: 0.5417 +2022-06-19 04:40:21,529 - mmseg - INFO - Saving checkpoint at 45000 iterations +2022-06-19 04:40:24,455 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 04:40:24,455 - mmseg - INFO - Iter [45000/160000] lr: 2.214e-05, eta: 8:51:33, time: 0.329, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3575, decode.acc_seg: 68.7999, aux.loss_ce: 0.1591, aux.acc_seg: 67.9763, loss: 0.5165 +2022-06-19 04:40:37,972 - mmseg - INFO - Iter [45050/160000] lr: 2.213e-05, eta: 8:51:18, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3446, decode.acc_seg: 68.6111, aux.loss_ce: 0.1553, aux.acc_seg: 67.6680, loss: 0.4999 +2022-06-19 04:40:51,354 - mmseg - INFO - Iter [45100/160000] lr: 2.212e-05, eta: 8:51:03, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3655, decode.acc_seg: 70.2475, aux.loss_ce: 0.1638, aux.acc_seg: 69.1165, loss: 0.5293 +2022-06-19 04:41:04,965 - mmseg - INFO - Iter [45150/160000] lr: 2.211e-05, eta: 8:50:49, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3702, decode.acc_seg: 69.7481, aux.loss_ce: 0.1660, aux.acc_seg: 68.7316, loss: 0.5363 +2022-06-19 04:41:18,489 - mmseg - INFO - Iter [45200/160000] lr: 2.210e-05, eta: 8:50:34, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3519, decode.acc_seg: 69.5848, aux.loss_ce: 0.1556, aux.acc_seg: 68.9028, loss: 0.5075 +2022-06-19 04:41:31,964 - mmseg - INFO - Iter [45250/160000] lr: 2.209e-05, eta: 8:50:19, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3398, decode.acc_seg: 70.3392, aux.loss_ce: 0.1517, aux.acc_seg: 69.6261, loss: 0.4915 +2022-06-19 04:41:45,770 - mmseg - INFO - Iter [45300/160000] lr: 2.208e-05, eta: 8:50:05, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3357, decode.acc_seg: 68.9849, aux.loss_ce: 0.1516, aux.acc_seg: 67.8784, loss: 0.4873 +2022-06-19 04:41:59,310 - mmseg - INFO - Iter [45350/160000] lr: 2.207e-05, eta: 8:49:50, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3749, decode.acc_seg: 69.7975, aux.loss_ce: 0.1647, aux.acc_seg: 69.0586, loss: 0.5397 +2022-06-19 04:42:12,510 - mmseg - INFO - Iter [45400/160000] lr: 2.206e-05, eta: 8:49:35, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3508, decode.acc_seg: 70.5344, aux.loss_ce: 0.1573, aux.acc_seg: 69.4441, loss: 0.5081 +2022-06-19 04:42:25,900 - mmseg - INFO - Iter [45450/160000] lr: 2.205e-05, eta: 8:49:20, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3538, decode.acc_seg: 69.8915, aux.loss_ce: 0.1557, aux.acc_seg: 69.0578, loss: 0.5095 +2022-06-19 04:42:41,720 - mmseg - INFO - Iter [45500/160000] lr: 2.204e-05, eta: 8:49:11, time: 0.316, data_time: 0.051, memory: 56924, decode.loss_ce: 0.3390, decode.acc_seg: 68.7005, aux.loss_ce: 0.1530, aux.acc_seg: 67.7516, loss: 0.4921 +2022-06-19 04:42:55,436 - mmseg - INFO - Iter [45550/160000] lr: 2.203e-05, eta: 8:48:57, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3484, decode.acc_seg: 69.9004, aux.loss_ce: 0.1570, aux.acc_seg: 68.8717, loss: 0.5054 +2022-06-19 04:43:08,764 - mmseg - INFO - Iter [45600/160000] lr: 2.202e-05, eta: 8:48:41, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3398, decode.acc_seg: 69.9422, aux.loss_ce: 0.1540, aux.acc_seg: 68.8934, loss: 0.4938 +2022-06-19 04:43:22,203 - mmseg - INFO - Iter [45650/160000] lr: 2.201e-05, eta: 8:48:26, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3607, decode.acc_seg: 69.9164, aux.loss_ce: 0.1620, aux.acc_seg: 68.9213, loss: 0.5228 +2022-06-19 04:43:35,736 - mmseg - INFO - Iter [45700/160000] lr: 2.200e-05, eta: 8:48:12, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3611, decode.acc_seg: 70.8703, aux.loss_ce: 0.1615, aux.acc_seg: 69.9343, loss: 0.5226 +2022-06-19 04:43:49,292 - mmseg - INFO - Iter [45750/160000] lr: 2.199e-05, eta: 8:47:57, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3375, decode.acc_seg: 70.8224, aux.loss_ce: 0.1550, aux.acc_seg: 69.6783, loss: 0.4925 +2022-06-19 04:44:02,735 - mmseg - INFO - Iter [45800/160000] lr: 2.198e-05, eta: 8:47:42, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3261, decode.acc_seg: 70.0462, aux.loss_ce: 0.1476, aux.acc_seg: 69.0701, loss: 0.4737 +2022-06-19 04:44:16,339 - mmseg - INFO - Iter [45850/160000] lr: 2.197e-05, eta: 8:47:28, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3498, decode.acc_seg: 70.2717, aux.loss_ce: 0.1587, aux.acc_seg: 69.3039, loss: 0.5085 +2022-06-19 04:44:29,690 - mmseg - INFO - Iter [45900/160000] lr: 2.196e-05, eta: 8:47:13, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3406, decode.acc_seg: 70.1386, aux.loss_ce: 0.1516, aux.acc_seg: 69.3129, loss: 0.4922 +2022-06-19 04:44:43,138 - mmseg - INFO - Iter [45950/160000] lr: 2.196e-05, eta: 8:46:58, time: 0.269, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3451, decode.acc_seg: 68.9016, aux.loss_ce: 0.1552, aux.acc_seg: 67.9204, loss: 0.5002 +2022-06-19 04:44:56,689 - mmseg - INFO - Saving checkpoint at 46000 iterations +2022-06-19 04:44:59,609 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 04:44:59,609 - mmseg - INFO - Iter [46000/160000] lr: 2.195e-05, eta: 8:46:50, time: 0.329, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3361, decode.acc_seg: 70.1662, aux.loss_ce: 0.1509, aux.acc_seg: 69.1575, loss: 0.4870 +2022-06-19 04:45:13,265 - mmseg - INFO - Iter [46050/160000] lr: 2.194e-05, eta: 8:46:36, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3301, decode.acc_seg: 69.3294, aux.loss_ce: 0.1486, aux.acc_seg: 68.4782, loss: 0.4787 +2022-06-19 04:45:26,476 - mmseg - INFO - Iter [46100/160000] lr: 2.193e-05, eta: 8:46:20, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3349, decode.acc_seg: 70.2391, aux.loss_ce: 0.1520, aux.acc_seg: 69.2680, loss: 0.4869 +2022-06-19 04:45:39,743 - mmseg - INFO - Iter [46150/160000] lr: 2.192e-05, eta: 8:46:05, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3545, decode.acc_seg: 69.7513, aux.loss_ce: 0.1612, aux.acc_seg: 68.5719, loss: 0.5156 +2022-06-19 04:45:53,259 - mmseg - INFO - Iter [46200/160000] lr: 2.191e-05, eta: 8:45:50, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3510, decode.acc_seg: 69.4623, aux.loss_ce: 0.1586, aux.acc_seg: 68.3230, loss: 0.5096 +2022-06-19 04:46:06,752 - mmseg - INFO - Iter [46250/160000] lr: 2.190e-05, eta: 8:45:36, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3535, decode.acc_seg: 69.8443, aux.loss_ce: 0.1572, aux.acc_seg: 69.0327, loss: 0.5107 +2022-06-19 04:46:20,276 - mmseg - INFO - Iter [46300/160000] lr: 2.189e-05, eta: 8:45:21, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3572, decode.acc_seg: 71.2350, aux.loss_ce: 0.1589, aux.acc_seg: 70.4692, loss: 0.5161 +2022-06-19 04:46:33,806 - mmseg - INFO - Iter [46350/160000] lr: 2.188e-05, eta: 8:45:06, time: 0.271, data_time: 0.006, memory: 56924, decode.loss_ce: 0.3300, decode.acc_seg: 69.1875, aux.loss_ce: 0.1490, aux.acc_seg: 68.1311, loss: 0.4790 +2022-06-19 04:46:47,268 - mmseg - INFO - Iter [46400/160000] lr: 2.187e-05, eta: 8:44:51, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3509, decode.acc_seg: 69.0041, aux.loss_ce: 0.1577, aux.acc_seg: 68.0484, loss: 0.5086 +2022-06-19 04:47:00,861 - mmseg - INFO - Iter [46450/160000] lr: 2.186e-05, eta: 8:44:37, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3266, decode.acc_seg: 69.6837, aux.loss_ce: 0.1489, aux.acc_seg: 68.6616, loss: 0.4755 +2022-06-19 04:47:14,171 - mmseg - INFO - Iter [46500/160000] lr: 2.185e-05, eta: 8:44:22, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3506, decode.acc_seg: 70.0831, aux.loss_ce: 0.1577, aux.acc_seg: 69.1961, loss: 0.5083 +2022-06-19 04:47:27,256 - mmseg - INFO - Iter [46550/160000] lr: 2.184e-05, eta: 8:44:06, time: 0.261, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3479, decode.acc_seg: 70.1461, aux.loss_ce: 0.1536, aux.acc_seg: 69.2326, loss: 0.5015 +2022-06-19 04:47:40,726 - mmseg - INFO - Iter [46600/160000] lr: 2.183e-05, eta: 8:43:51, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3690, decode.acc_seg: 69.9551, aux.loss_ce: 0.1668, aux.acc_seg: 69.0182, loss: 0.5358 +2022-06-19 04:47:54,204 - mmseg - INFO - Iter [46650/160000] lr: 2.182e-05, eta: 8:43:36, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3621, decode.acc_seg: 68.9112, aux.loss_ce: 0.1654, aux.acc_seg: 67.7524, loss: 0.5275 +2022-06-19 04:48:07,724 - mmseg - INFO - Iter [46700/160000] lr: 2.181e-05, eta: 8:43:22, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3576, decode.acc_seg: 69.4901, aux.loss_ce: 0.1587, aux.acc_seg: 68.5865, loss: 0.5163 +2022-06-19 04:48:23,394 - mmseg - INFO - Iter [46750/160000] lr: 2.180e-05, eta: 8:43:12, time: 0.313, data_time: 0.048, memory: 56924, decode.loss_ce: 0.3439, decode.acc_seg: 69.3417, aux.loss_ce: 0.1575, aux.acc_seg: 68.1722, loss: 0.5014 +2022-06-19 04:48:36,593 - mmseg - INFO - Iter [46800/160000] lr: 2.179e-05, eta: 8:42:57, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3624, decode.acc_seg: 68.1441, aux.loss_ce: 0.1624, aux.acc_seg: 67.2202, loss: 0.5247 +2022-06-19 04:48:50,238 - mmseg - INFO - Iter [46850/160000] lr: 2.178e-05, eta: 8:42:42, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3406, decode.acc_seg: 70.2081, aux.loss_ce: 0.1513, aux.acc_seg: 69.4140, loss: 0.4918 +2022-06-19 04:49:03,738 - mmseg - INFO - Iter [46900/160000] lr: 2.177e-05, eta: 8:42:28, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3634, decode.acc_seg: 69.5349, aux.loss_ce: 0.1628, aux.acc_seg: 68.5496, loss: 0.5261 +2022-06-19 04:49:17,290 - mmseg - INFO - Iter [46950/160000] lr: 2.176e-05, eta: 8:42:13, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3509, decode.acc_seg: 69.6402, aux.loss_ce: 0.1579, aux.acc_seg: 68.6729, loss: 0.5088 +2022-06-19 04:49:30,821 - mmseg - INFO - Saving checkpoint at 47000 iterations +2022-06-19 04:49:33,756 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 04:49:33,756 - mmseg - INFO - Iter [47000/160000] lr: 2.175e-05, eta: 8:42:06, time: 0.330, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3635, decode.acc_seg: 70.2399, aux.loss_ce: 0.1618, aux.acc_seg: 69.3632, loss: 0.5253 +2022-06-19 04:49:47,353 - mmseg - INFO - Iter [47050/160000] lr: 2.174e-05, eta: 8:41:51, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3537, decode.acc_seg: 69.6076, aux.loss_ce: 0.1584, aux.acc_seg: 68.7249, loss: 0.5121 +2022-06-19 04:50:00,800 - mmseg - INFO - Iter [47100/160000] lr: 2.173e-05, eta: 8:41:36, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3149, decode.acc_seg: 70.4675, aux.loss_ce: 0.1428, aux.acc_seg: 69.3639, loss: 0.4576 +2022-06-19 04:50:14,098 - mmseg - INFO - Iter [47150/160000] lr: 2.172e-05, eta: 8:41:21, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3527, decode.acc_seg: 70.2620, aux.loss_ce: 0.1572, aux.acc_seg: 69.3178, loss: 0.5099 +2022-06-19 04:50:27,834 - mmseg - INFO - Iter [47200/160000] lr: 2.171e-05, eta: 8:41:07, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3461, decode.acc_seg: 68.8588, aux.loss_ce: 0.1596, aux.acc_seg: 67.6306, loss: 0.5057 +2022-06-19 04:50:41,463 - mmseg - INFO - Iter [47250/160000] lr: 2.170e-05, eta: 8:40:52, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3494, decode.acc_seg: 71.8534, aux.loss_ce: 0.1577, aux.acc_seg: 70.8127, loss: 0.5071 +2022-06-19 04:50:55,106 - mmseg - INFO - Iter [47300/160000] lr: 2.170e-05, eta: 8:40:38, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3574, decode.acc_seg: 70.5967, aux.loss_ce: 0.1604, aux.acc_seg: 69.6567, loss: 0.5179 +2022-06-19 04:51:08,707 - mmseg - INFO - Iter [47350/160000] lr: 2.169e-05, eta: 8:40:23, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3421, decode.acc_seg: 69.7090, aux.loss_ce: 0.1549, aux.acc_seg: 68.6619, loss: 0.4970 +2022-06-19 04:51:22,161 - mmseg - INFO - Iter [47400/160000] lr: 2.168e-05, eta: 8:40:09, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3598, decode.acc_seg: 70.5104, aux.loss_ce: 0.1633, aux.acc_seg: 69.5540, loss: 0.5231 +2022-06-19 04:51:35,704 - mmseg - INFO - Iter [47450/160000] lr: 2.167e-05, eta: 8:39:54, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3486, decode.acc_seg: 69.3861, aux.loss_ce: 0.1558, aux.acc_seg: 68.3682, loss: 0.5044 +2022-06-19 04:51:49,219 - mmseg - INFO - Iter [47500/160000] lr: 2.166e-05, eta: 8:39:39, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3322, decode.acc_seg: 69.6303, aux.loss_ce: 0.1491, aux.acc_seg: 68.7522, loss: 0.4813 +2022-06-19 04:52:02,709 - mmseg - INFO - Iter [47550/160000] lr: 2.165e-05, eta: 8:39:25, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3322, decode.acc_seg: 70.8155, aux.loss_ce: 0.1484, aux.acc_seg: 69.8727, loss: 0.4806 +2022-06-19 04:52:16,311 - mmseg - INFO - Iter [47600/160000] lr: 2.164e-05, eta: 8:39:10, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3489, decode.acc_seg: 70.9331, aux.loss_ce: 0.1565, aux.acc_seg: 70.0815, loss: 0.5054 +2022-06-19 04:52:29,466 - mmseg - INFO - Iter [47650/160000] lr: 2.163e-05, eta: 8:38:55, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3647, decode.acc_seg: 70.0156, aux.loss_ce: 0.1608, aux.acc_seg: 69.0527, loss: 0.5255 +2022-06-19 04:52:43,010 - mmseg - INFO - Iter [47700/160000] lr: 2.162e-05, eta: 8:38:40, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3596, decode.acc_seg: 68.6396, aux.loss_ce: 0.1627, aux.acc_seg: 67.4208, loss: 0.5223 +2022-06-19 04:52:56,449 - mmseg - INFO - Iter [47750/160000] lr: 2.161e-05, eta: 8:38:25, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3448, decode.acc_seg: 69.8122, aux.loss_ce: 0.1554, aux.acc_seg: 68.8855, loss: 0.5002 +2022-06-19 04:53:10,230 - mmseg - INFO - Iter [47800/160000] lr: 2.160e-05, eta: 8:38:11, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3384, decode.acc_seg: 69.1544, aux.loss_ce: 0.1539, aux.acc_seg: 68.0710, loss: 0.4923 +2022-06-19 04:53:23,555 - mmseg - INFO - Iter [47850/160000] lr: 2.159e-05, eta: 8:37:56, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3536, decode.acc_seg: 70.8561, aux.loss_ce: 0.1604, aux.acc_seg: 69.8262, loss: 0.5140 +2022-06-19 04:53:36,976 - mmseg - INFO - Iter [47900/160000] lr: 2.158e-05, eta: 8:37:41, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3374, decode.acc_seg: 69.6111, aux.loss_ce: 0.1502, aux.acc_seg: 68.9508, loss: 0.4876 +2022-06-19 04:53:50,446 - mmseg - INFO - Iter [47950/160000] lr: 2.157e-05, eta: 8:37:27, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3322, decode.acc_seg: 70.0340, aux.loss_ce: 0.1500, aux.acc_seg: 68.9276, loss: 0.4823 +2022-06-19 04:54:06,287 - mmseg - INFO - Saving checkpoint at 48000 iterations +2022-06-19 04:54:09,259 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 04:54:09,259 - mmseg - INFO - Iter [48000/160000] lr: 2.156e-05, eta: 8:37:24, time: 0.376, data_time: 0.051, memory: 56924, decode.loss_ce: 0.3386, decode.acc_seg: 69.4756, aux.loss_ce: 0.1514, aux.acc_seg: 68.4616, loss: 0.4900 +2022-06-19 04:54:31,740 - mmseg - INFO - per class results: +2022-06-19 04:54:31,748 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 75.85 | 87.75 | +| building | 81.87 | 91.89 | +| sky | 94.04 | 97.07 | +| floor | 80.5 | 86.29 | +| tree | 73.78 | 87.54 | +| ceiling | 83.42 | 91.36 | +| road | 82.88 | 89.21 | +| bed | 86.63 | 94.2 | +| windowpane | 60.25 | 76.54 | +| grass | 65.9 | 80.01 | +| cabinet | 60.32 | 72.76 | +| sidewalk | 62.79 | 79.21 | +| person | 79.16 | 92.29 | +| earth | 31.43 | 42.64 | +| door | 45.51 | 60.73 | +| table | 57.21 | 77.62 | +| mountain | 57.35 | 66.58 | +| plant | 50.52 | 64.35 | +| curtain | 73.02 | 84.1 | +| chair | 52.01 | 70.56 | +| car | 83.72 | 93.59 | +| water | 57.19 | 73.7 | +| painting | 68.6 | 85.27 | +| sofa | 63.03 | 76.0 | +| shelf | 43.14 | 71.53 | +| house | 48.49 | 67.97 | +| sea | 71.15 | 92.42 | +| mirror | 65.97 | 76.83 | +| rug | 60.56 | 82.46 | +| field | 28.63 | 48.76 | +| armchair | 39.52 | 62.46 | +| seat | 59.71 | 74.55 | +| fence | 45.95 | 61.9 | +| desk | 46.06 | 64.58 | +| rock | 45.78 | 75.42 | +| wardrobe | 54.15 | 66.95 | +| lamp | 56.92 | 73.17 | +| bathtub | 74.39 | 82.95 | +| railing | 33.13 | 45.67 | +| cushion | 54.74 | 73.17 | +| base | 21.21 | 26.97 | +| box | 23.68 | 32.82 | +| column | 42.79 | 54.56 | +| signboard | 33.18 | 49.77 | +| chest of drawers | 37.89 | 62.09 | +| counter | 32.01 | 41.68 | +| sand | 47.71 | 68.26 | +| sink | 67.02 | 72.36 | +| skyscraper | 54.15 | 59.81 | +| fireplace | 74.17 | 88.15 | +| refrigerator | 68.77 | 78.72 | +| grandstand | 47.75 | 74.2 | +| path | 27.05 | 38.66 | +| stairs | 24.42 | 29.08 | +| runway | 66.82 | 92.35 | +| case | 45.53 | 55.39 | +| pool table | 92.4 | 95.94 | +| pillow | 55.78 | 66.57 | +| screen door | 71.22 | 81.5 | +| stairway | 27.32 | 42.61 | +| river | 6.58 | 9.13 | +| bridge | 42.73 | 55.92 | +| bookcase | 41.77 | 57.21 | +| blind | 40.12 | 47.31 | +| coffee table | 57.96 | 68.93 | +| toilet | 83.31 | 90.69 | +| flower | 38.57 | 50.23 | +| book | 45.93 | 64.38 | +| hill | 7.02 | 21.26 | +| bench | 35.78 | 44.17 | +| countertop | 57.11 | 74.82 | +| stove | 66.18 | 77.55 | +| palm | 48.31 | 68.11 | +| kitchen island | 35.5 | 58.81 | +| computer | 60.74 | 73.77 | +| swivel chair | 40.88 | 54.9 | +| boat | 43.08 | 53.16 | +| bar | 41.21 | 50.91 | +| arcade machine | 59.85 | 65.94 | +| hovel | 55.72 | 64.36 | +| bus | 84.21 | 94.35 | +| towel | 59.22 | 75.43 | +| light | 46.83 | 52.18 | +| truck | 27.62 | 37.16 | +| tower | 38.34 | 64.52 | +| chandelier | 61.16 | 78.63 | +| awning | 25.17 | 28.37 | +| streetlight | 21.85 | 28.33 | +| booth | 30.92 | 43.98 | +| television receiver | 67.96 | 79.33 | +| airplane | 47.98 | 62.34 | +| dirt track | 5.52 | 27.91 | +| apparel | 25.51 | 35.89 | +| pole | 18.1 | 26.56 | +| land | 4.13 | 6.68 | +| bannister | 6.18 | 7.76 | +| escalator | 46.44 | 67.14 | +| ottoman | 43.5 | 59.91 | +| bottle | 36.87 | 49.94 | +| buffet | 39.26 | 43.46 | +| poster | 20.73 | 23.8 | +| stage | 15.34 | 26.29 | +| van | 35.42 | 42.95 | +| ship | 46.2 | 69.24 | +| fountain | 31.97 | 35.23 | +| conveyer belt | 72.08 | 90.3 | +| canopy | 28.7 | 30.82 | +| washer | 75.96 | 78.29 | +| plaything | 19.92 | 28.44 | +| swimming pool | 48.58 | 90.7 | +| stool | 29.71 | 37.99 | +| barrel | 54.72 | 59.73 | +| basket | 27.75 | 37.77 | +| waterfall | 46.46 | 53.07 | +| tent | 83.38 | 98.64 | +| bag | 9.7 | 10.91 | +| minibike | 60.87 | 70.17 | +| cradle | 65.3 | 83.21 | +| oven | 32.36 | 54.34 | +| ball | 36.79 | 46.33 | +| food | 27.51 | 32.9 | +| step | 6.77 | 7.97 | +| tank | 48.08 | 53.23 | +| trade name | 9.54 | 9.77 | +| microwave | 72.5 | 83.22 | +| pot | 42.73 | 51.05 | +| animal | 56.31 | 57.93 | +| bicycle | 48.26 | 75.9 | +| lake | 44.46 | 72.95 | +| dishwasher | 56.34 | 70.16 | +| screen | 64.51 | 92.55 | +| blanket | 11.83 | 14.1 | +| sculpture | 59.46 | 72.9 | +| hood | 60.51 | 74.6 | +| sconce | 33.14 | 39.69 | +| vase | 31.56 | 45.37 | +| traffic light | 27.38 | 52.82 | +| tray | 1.99 | 2.61 | +| ashcan | 39.34 | 49.72 | +| fan | 55.43 | 66.07 | +| pier | 34.99 | 45.95 | +| crt screen | 4.04 | 10.83 | +| plate | 46.24 | 62.31 | +| monitor | 16.28 | 27.49 | +| bulletin board | 33.58 | 42.42 | +| shower | 0.0 | 0.0 | +| radiator | 58.77 | 70.87 | +| glass | 8.98 | 9.92 | +| clock | 31.46 | 35.51 | +| flag | 34.95 | 37.47 | ++---------------------+-------+-------+ +2022-06-19 04:54:31,748 - mmseg - INFO - Summary: +2022-06-19 04:54:31,749 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.02 | 46.47 | 58.74 | ++-------+-------+-------+ +2022-06-19 04:54:31,750 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_deit_adapter_base_512_160k_ade20k/best_mIoU_iter_32000.pth was removed +2022-06-19 04:54:34,494 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_48000.pth. +2022-06-19 04:54:34,494 - mmseg - INFO - Best mIoU is 0.4647 at 48000 iter. +2022-06-19 04:54:34,506 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 04:54:34,506 - mmseg - INFO - Iter(val) [250] aAcc: 0.8202, mIoU: 0.4647, mAcc: 0.5874, IoU.wall: 0.7585, IoU.building: 0.8187, IoU.sky: 0.9404, IoU.floor: 0.8050, IoU.tree: 0.7378, IoU.ceiling: 0.8342, IoU.road: 0.8288, IoU.bed : 0.8663, IoU.windowpane: 0.6025, IoU.grass: 0.6590, IoU.cabinet: 0.6032, IoU.sidewalk: 0.6279, IoU.person: 0.7916, IoU.earth: 0.3143, IoU.door: 0.4551, IoU.table: 0.5721, IoU.mountain: 0.5735, IoU.plant: 0.5052, IoU.curtain: 0.7302, IoU.chair: 0.5201, IoU.car: 0.8372, IoU.water: 0.5719, IoU.painting: 0.6860, IoU.sofa: 0.6303, IoU.shelf: 0.4314, IoU.house: 0.4849, IoU.sea: 0.7115, IoU.mirror: 0.6597, IoU.rug: 0.6056, IoU.field: 0.2863, IoU.armchair: 0.3952, IoU.seat: 0.5971, IoU.fence: 0.4595, IoU.desk: 0.4606, IoU.rock: 0.4578, IoU.wardrobe: 0.5415, IoU.lamp: 0.5692, IoU.bathtub: 0.7439, IoU.railing: 0.3313, IoU.cushion: 0.5474, IoU.base: 0.2121, IoU.box: 0.2368, IoU.column: 0.4279, IoU.signboard: 0.3318, IoU.chest of drawers: 0.3789, IoU.counter: 0.3201, IoU.sand: 0.4771, IoU.sink: 0.6702, IoU.skyscraper: 0.5415, IoU.fireplace: 0.7417, IoU.refrigerator: 0.6877, IoU.grandstand: 0.4775, IoU.path: 0.2705, IoU.stairs: 0.2442, IoU.runway: 0.6682, IoU.case: 0.4553, IoU.pool table: 0.9240, IoU.pillow: 0.5578, IoU.screen door: 0.7122, IoU.stairway: 0.2732, IoU.river: 0.0658, IoU.bridge: 0.4273, IoU.bookcase: 0.4177, IoU.blind: 0.4012, IoU.coffee table: 0.5796, IoU.toilet: 0.8331, IoU.flower: 0.3857, IoU.book: 0.4593, IoU.hill: 0.0702, IoU.bench: 0.3578, IoU.countertop: 0.5711, IoU.stove: 0.6618, IoU.palm: 0.4831, IoU.kitchen island: 0.3550, IoU.computer: 0.6074, IoU.swivel chair: 0.4088, IoU.boat: 0.4308, IoU.bar: 0.4121, IoU.arcade machine: 0.5985, IoU.hovel: 0.5572, IoU.bus: 0.8421, IoU.towel: 0.5922, IoU.light: 0.4683, IoU.truck: 0.2762, IoU.tower: 0.3834, IoU.chandelier: 0.6116, IoU.awning: 0.2517, IoU.streetlight: 0.2185, IoU.booth: 0.3092, IoU.television receiver: 0.6796, IoU.airplane: 0.4798, IoU.dirt track: 0.0552, IoU.apparel: 0.2551, IoU.pole: 0.1810, IoU.land: 0.0413, IoU.bannister: 0.0618, IoU.escalator: 0.4644, IoU.ottoman: 0.4350, IoU.bottle: 0.3687, IoU.buffet: 0.3926, IoU.poster: 0.2073, IoU.stage: 0.1534, IoU.van: 0.3542, IoU.ship: 0.4620, IoU.fountain: 0.3197, IoU.conveyer belt: 0.7208, IoU.canopy: 0.2870, IoU.washer: 0.7596, IoU.plaything: 0.1992, IoU.swimming pool: 0.4858, IoU.stool: 0.2971, IoU.barrel: 0.5472, IoU.basket: 0.2775, IoU.waterfall: 0.4646, IoU.tent: 0.8338, IoU.bag: 0.0970, IoU.minibike: 0.6087, IoU.cradle: 0.6530, IoU.oven: 0.3236, IoU.ball: 0.3679, IoU.food: 0.2751, IoU.step: 0.0677, IoU.tank: 0.4808, IoU.trade name: 0.0954, IoU.microwave: 0.7250, IoU.pot: 0.4273, IoU.animal: 0.5631, IoU.bicycle: 0.4826, IoU.lake: 0.4446, IoU.dishwasher: 0.5634, IoU.screen: 0.6451, IoU.blanket: 0.1183, IoU.sculpture: 0.5946, IoU.hood: 0.6051, IoU.sconce: 0.3314, IoU.vase: 0.3156, IoU.traffic light: 0.2738, IoU.tray: 0.0199, IoU.ashcan: 0.3934, IoU.fan: 0.5543, IoU.pier: 0.3499, IoU.crt screen: 0.0404, IoU.plate: 0.4624, IoU.monitor: 0.1628, IoU.bulletin board: 0.3358, IoU.shower: 0.0000, IoU.radiator: 0.5877, IoU.glass: 0.0898, IoU.clock: 0.3146, IoU.flag: 0.3495, Acc.wall: 0.8775, Acc.building: 0.9189, Acc.sky: 0.9707, Acc.floor: 0.8629, Acc.tree: 0.8754, Acc.ceiling: 0.9136, Acc.road: 0.8921, Acc.bed : 0.9420, Acc.windowpane: 0.7654, Acc.grass: 0.8001, Acc.cabinet: 0.7276, Acc.sidewalk: 0.7921, Acc.person: 0.9229, Acc.earth: 0.4264, Acc.door: 0.6073, Acc.table: 0.7762, Acc.mountain: 0.6658, Acc.plant: 0.6435, Acc.curtain: 0.8410, Acc.chair: 0.7056, Acc.car: 0.9359, Acc.water: 0.7370, Acc.painting: 0.8527, Acc.sofa: 0.7600, Acc.shelf: 0.7153, Acc.house: 0.6797, Acc.sea: 0.9242, Acc.mirror: 0.7683, Acc.rug: 0.8246, Acc.field: 0.4876, Acc.armchair: 0.6246, Acc.seat: 0.7455, Acc.fence: 0.6190, Acc.desk: 0.6458, Acc.rock: 0.7542, Acc.wardrobe: 0.6695, Acc.lamp: 0.7317, Acc.bathtub: 0.8295, Acc.railing: 0.4567, Acc.cushion: 0.7317, Acc.base: 0.2697, Acc.box: 0.3282, Acc.column: 0.5456, Acc.signboard: 0.4977, Acc.chest of drawers: 0.6209, Acc.counter: 0.4168, Acc.sand: 0.6826, Acc.sink: 0.7236, Acc.skyscraper: 0.5981, Acc.fireplace: 0.8815, Acc.refrigerator: 0.7872, Acc.grandstand: 0.7420, Acc.path: 0.3866, Acc.stairs: 0.2908, Acc.runway: 0.9235, Acc.case: 0.5539, Acc.pool table: 0.9594, Acc.pillow: 0.6657, Acc.screen door: 0.8150, Acc.stairway: 0.4261, Acc.river: 0.0913, Acc.bridge: 0.5592, Acc.bookcase: 0.5721, Acc.blind: 0.4731, Acc.coffee table: 0.6893, Acc.toilet: 0.9069, Acc.flower: 0.5023, Acc.book: 0.6438, Acc.hill: 0.2126, Acc.bench: 0.4417, Acc.countertop: 0.7482, Acc.stove: 0.7755, Acc.palm: 0.6811, Acc.kitchen island: 0.5881, Acc.computer: 0.7377, Acc.swivel chair: 0.5490, Acc.boat: 0.5316, Acc.bar: 0.5091, Acc.arcade machine: 0.6594, Acc.hovel: 0.6436, Acc.bus: 0.9435, Acc.towel: 0.7543, Acc.light: 0.5218, Acc.truck: 0.3716, Acc.tower: 0.6452, Acc.chandelier: 0.7863, Acc.awning: 0.2837, Acc.streetlight: 0.2833, Acc.booth: 0.4398, Acc.television receiver: 0.7933, Acc.airplane: 0.6234, Acc.dirt track: 0.2791, Acc.apparel: 0.3589, Acc.pole: 0.2656, Acc.land: 0.0668, Acc.bannister: 0.0776, Acc.escalator: 0.6714, Acc.ottoman: 0.5991, Acc.bottle: 0.4994, Acc.buffet: 0.4346, Acc.poster: 0.2380, Acc.stage: 0.2629, Acc.van: 0.4295, Acc.ship: 0.6924, Acc.fountain: 0.3523, Acc.conveyer belt: 0.9030, Acc.canopy: 0.3082, Acc.washer: 0.7829, Acc.plaything: 0.2844, Acc.swimming pool: 0.9070, Acc.stool: 0.3799, Acc.barrel: 0.5973, Acc.basket: 0.3777, Acc.waterfall: 0.5307, Acc.tent: 0.9864, Acc.bag: 0.1091, Acc.minibike: 0.7017, Acc.cradle: 0.8321, Acc.oven: 0.5434, Acc.ball: 0.4633, Acc.food: 0.3290, Acc.step: 0.0797, Acc.tank: 0.5323, Acc.trade name: 0.0977, Acc.microwave: 0.8322, Acc.pot: 0.5105, Acc.animal: 0.5793, Acc.bicycle: 0.7590, Acc.lake: 0.7295, Acc.dishwasher: 0.7016, Acc.screen: 0.9255, Acc.blanket: 0.1410, Acc.sculpture: 0.7290, Acc.hood: 0.7460, Acc.sconce: 0.3969, Acc.vase: 0.4537, Acc.traffic light: 0.5282, Acc.tray: 0.0261, Acc.ashcan: 0.4972, Acc.fan: 0.6607, Acc.pier: 0.4595, Acc.crt screen: 0.1083, Acc.plate: 0.6231, Acc.monitor: 0.2749, Acc.bulletin board: 0.4242, Acc.shower: 0.0000, Acc.radiator: 0.7087, Acc.glass: 0.0992, Acc.clock: 0.3551, Acc.flag: 0.3747 +2022-06-19 04:54:47,965 - mmseg - INFO - Iter [48050/160000] lr: 2.155e-05, eta: 8:38:08, time: 0.774, data_time: 0.509, memory: 56924, decode.loss_ce: 0.3302, decode.acc_seg: 70.3937, aux.loss_ce: 0.1480, aux.acc_seg: 69.4771, loss: 0.4782 +2022-06-19 04:55:01,331 - mmseg - INFO - Iter [48100/160000] lr: 2.154e-05, eta: 8:37:53, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3451, decode.acc_seg: 70.1202, aux.loss_ce: 0.1535, aux.acc_seg: 69.2155, loss: 0.4986 +2022-06-19 04:55:14,988 - mmseg - INFO - Iter [48150/160000] lr: 2.153e-05, eta: 8:37:39, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3356, decode.acc_seg: 70.2194, aux.loss_ce: 0.1497, aux.acc_seg: 69.3139, loss: 0.4853 +2022-06-19 04:55:28,072 - mmseg - INFO - Iter [48200/160000] lr: 2.152e-05, eta: 8:37:23, time: 0.261, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3421, decode.acc_seg: 71.5201, aux.loss_ce: 0.1550, aux.acc_seg: 70.5632, loss: 0.4971 +2022-06-19 04:55:41,366 - mmseg - INFO - Iter [48250/160000] lr: 2.151e-05, eta: 8:37:08, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3697, decode.acc_seg: 70.3345, aux.loss_ce: 0.1665, aux.acc_seg: 69.3110, loss: 0.5362 +2022-06-19 04:55:55,148 - mmseg - INFO - Iter [48300/160000] lr: 2.150e-05, eta: 8:36:54, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3248, decode.acc_seg: 70.3997, aux.loss_ce: 0.1487, aux.acc_seg: 69.1623, loss: 0.4735 +2022-06-19 04:56:08,636 - mmseg - INFO - Iter [48350/160000] lr: 2.149e-05, eta: 8:36:39, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3405, decode.acc_seg: 70.1964, aux.loss_ce: 0.1533, aux.acc_seg: 69.2920, loss: 0.4938 +2022-06-19 04:56:21,956 - mmseg - INFO - Iter [48400/160000] lr: 2.148e-05, eta: 8:36:24, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3527, decode.acc_seg: 70.6417, aux.loss_ce: 0.1562, aux.acc_seg: 69.7183, loss: 0.5089 +2022-06-19 04:56:35,358 - mmseg - INFO - Iter [48450/160000] lr: 2.147e-05, eta: 8:36:09, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3462, decode.acc_seg: 69.2923, aux.loss_ce: 0.1569, aux.acc_seg: 68.2232, loss: 0.5031 +2022-06-19 04:56:48,619 - mmseg - INFO - Iter [48500/160000] lr: 2.146e-05, eta: 8:35:53, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3326, decode.acc_seg: 69.0028, aux.loss_ce: 0.1509, aux.acc_seg: 68.0200, loss: 0.4835 +2022-06-19 04:57:02,201 - mmseg - INFO - Iter [48550/160000] lr: 2.145e-05, eta: 8:35:39, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3453, decode.acc_seg: 69.0674, aux.loss_ce: 0.1558, aux.acc_seg: 68.0032, loss: 0.5010 +2022-06-19 04:57:15,738 - mmseg - INFO - Iter [48600/160000] lr: 2.145e-05, eta: 8:35:24, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3382, decode.acc_seg: 69.9650, aux.loss_ce: 0.1529, aux.acc_seg: 68.9742, loss: 0.4911 +2022-06-19 04:57:29,238 - mmseg - INFO - Iter [48650/160000] lr: 2.144e-05, eta: 8:35:09, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3511, decode.acc_seg: 69.2093, aux.loss_ce: 0.1566, aux.acc_seg: 68.2766, loss: 0.5077 +2022-06-19 04:57:42,888 - mmseg - INFO - Iter [48700/160000] lr: 2.143e-05, eta: 8:34:55, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3663, decode.acc_seg: 69.7337, aux.loss_ce: 0.1623, aux.acc_seg: 68.8571, loss: 0.5286 +2022-06-19 04:57:56,516 - mmseg - INFO - Iter [48750/160000] lr: 2.142e-05, eta: 8:34:41, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3311, decode.acc_seg: 70.0692, aux.loss_ce: 0.1512, aux.acc_seg: 68.9393, loss: 0.4823 +2022-06-19 04:58:09,896 - mmseg - INFO - Iter [48800/160000] lr: 2.141e-05, eta: 8:34:26, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3355, decode.acc_seg: 70.9072, aux.loss_ce: 0.1513, aux.acc_seg: 69.8535, loss: 0.4868 +2022-06-19 04:58:23,289 - mmseg - INFO - Iter [48850/160000] lr: 2.140e-05, eta: 8:34:11, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3318, decode.acc_seg: 70.6460, aux.loss_ce: 0.1502, aux.acc_seg: 69.4908, loss: 0.4820 +2022-06-19 04:58:36,737 - mmseg - INFO - Iter [48900/160000] lr: 2.139e-05, eta: 8:33:56, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3178, decode.acc_seg: 70.1477, aux.loss_ce: 0.1455, aux.acc_seg: 69.1541, loss: 0.4633 +2022-06-19 04:58:50,017 - mmseg - INFO - Iter [48950/160000] lr: 2.138e-05, eta: 8:33:40, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3701, decode.acc_seg: 69.6588, aux.loss_ce: 0.1656, aux.acc_seg: 68.6684, loss: 0.5357 +2022-06-19 04:59:03,759 - mmseg - INFO - Saving checkpoint at 49000 iterations +2022-06-19 04:59:06,722 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 04:59:06,722 - mmseg - INFO - Iter [49000/160000] lr: 2.137e-05, eta: 8:33:33, time: 0.334, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3381, decode.acc_seg: 70.3783, aux.loss_ce: 0.1523, aux.acc_seg: 69.5031, loss: 0.4904 +2022-06-19 04:59:20,252 - mmseg - INFO - Iter [49050/160000] lr: 2.136e-05, eta: 8:33:18, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3305, decode.acc_seg: 70.5053, aux.loss_ce: 0.1471, aux.acc_seg: 69.5815, loss: 0.4776 +2022-06-19 04:59:33,663 - mmseg - INFO - Iter [49100/160000] lr: 2.135e-05, eta: 8:33:03, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3152, decode.acc_seg: 70.5599, aux.loss_ce: 0.1434, aux.acc_seg: 69.4057, loss: 0.4586 +2022-06-19 04:59:46,979 - mmseg - INFO - Iter [49150/160000] lr: 2.134e-05, eta: 8:32:48, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3476, decode.acc_seg: 70.4606, aux.loss_ce: 0.1562, aux.acc_seg: 69.3783, loss: 0.5038 +2022-06-19 05:00:00,549 - mmseg - INFO - Iter [49200/160000] lr: 2.133e-05, eta: 8:32:34, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3489, decode.acc_seg: 70.7315, aux.loss_ce: 0.1565, aux.acc_seg: 69.7844, loss: 0.5054 +2022-06-19 05:00:13,941 - mmseg - INFO - Iter [49250/160000] lr: 2.132e-05, eta: 8:32:19, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3571, decode.acc_seg: 69.6130, aux.loss_ce: 0.1574, aux.acc_seg: 68.8126, loss: 0.5145 +2022-06-19 05:00:29,545 - mmseg - INFO - Iter [49300/160000] lr: 2.131e-05, eta: 8:32:09, time: 0.312, data_time: 0.048, memory: 56924, decode.loss_ce: 0.3421, decode.acc_seg: 69.6243, aux.loss_ce: 0.1538, aux.acc_seg: 68.5524, loss: 0.4959 +2022-06-19 05:00:42,965 - mmseg - INFO - Iter [49350/160000] lr: 2.130e-05, eta: 8:31:54, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3172, decode.acc_seg: 70.2630, aux.loss_ce: 0.1427, aux.acc_seg: 69.3423, loss: 0.4599 +2022-06-19 05:00:56,403 - mmseg - INFO - Iter [49400/160000] lr: 2.129e-05, eta: 8:31:39, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3206, decode.acc_seg: 70.2190, aux.loss_ce: 0.1455, aux.acc_seg: 69.3483, loss: 0.4661 +2022-06-19 05:01:09,898 - mmseg - INFO - Iter [49450/160000] lr: 2.128e-05, eta: 8:31:24, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3520, decode.acc_seg: 70.0854, aux.loss_ce: 0.1585, aux.acc_seg: 68.9582, loss: 0.5105 +2022-06-19 05:01:23,545 - mmseg - INFO - Iter [49500/160000] lr: 2.127e-05, eta: 8:31:10, time: 0.274, data_time: 0.006, memory: 56924, decode.loss_ce: 0.3370, decode.acc_seg: 71.3379, aux.loss_ce: 0.1519, aux.acc_seg: 70.2789, loss: 0.4889 +2022-06-19 05:01:37,085 - mmseg - INFO - Iter [49550/160000] lr: 2.126e-05, eta: 8:30:55, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3196, decode.acc_seg: 69.9581, aux.loss_ce: 0.1465, aux.acc_seg: 68.7932, loss: 0.4661 +2022-06-19 05:01:50,282 - mmseg - INFO - Iter [49600/160000] lr: 2.125e-05, eta: 8:30:40, time: 0.264, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3018, decode.acc_seg: 70.6769, aux.loss_ce: 0.1362, aux.acc_seg: 69.6760, loss: 0.4380 +2022-06-19 05:02:04,004 - mmseg - INFO - Iter [49650/160000] lr: 2.124e-05, eta: 8:30:25, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3127, decode.acc_seg: 71.5382, aux.loss_ce: 0.1428, aux.acc_seg: 70.5373, loss: 0.4554 +2022-06-19 05:02:17,395 - mmseg - INFO - Iter [49700/160000] lr: 2.123e-05, eta: 8:30:11, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3378, decode.acc_seg: 70.8811, aux.loss_ce: 0.1540, aux.acc_seg: 69.9187, loss: 0.4917 +2022-06-19 05:02:30,889 - mmseg - INFO - Iter [49750/160000] lr: 2.122e-05, eta: 8:29:56, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3194, decode.acc_seg: 70.6060, aux.loss_ce: 0.1445, aux.acc_seg: 69.6546, loss: 0.4639 +2022-06-19 05:02:44,450 - mmseg - INFO - Iter [49800/160000] lr: 2.121e-05, eta: 8:29:41, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3256, decode.acc_seg: 69.7874, aux.loss_ce: 0.1463, aux.acc_seg: 68.8947, loss: 0.4720 +2022-06-19 05:02:57,864 - mmseg - INFO - Iter [49850/160000] lr: 2.120e-05, eta: 8:29:26, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3320, decode.acc_seg: 69.5540, aux.loss_ce: 0.1486, aux.acc_seg: 68.5706, loss: 0.4806 +2022-06-19 05:03:11,310 - mmseg - INFO - Iter [49900/160000] lr: 2.119e-05, eta: 8:29:12, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3296, decode.acc_seg: 71.6574, aux.loss_ce: 0.1482, aux.acc_seg: 70.4819, loss: 0.4778 +2022-06-19 05:03:24,628 - mmseg - INFO - Iter [49950/160000] lr: 2.119e-05, eta: 8:28:56, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3360, decode.acc_seg: 70.4806, aux.loss_ce: 0.1512, aux.acc_seg: 69.3372, loss: 0.4873 +2022-06-19 05:03:38,233 - mmseg - INFO - Saving checkpoint at 50000 iterations +2022-06-19 05:03:41,129 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 05:03:41,129 - mmseg - INFO - Iter [50000/160000] lr: 2.118e-05, eta: 8:28:48, time: 0.330, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3355, decode.acc_seg: 70.1633, aux.loss_ce: 0.1507, aux.acc_seg: 69.2566, loss: 0.4862 +2022-06-19 05:03:54,541 - mmseg - INFO - Iter [50050/160000] lr: 2.117e-05, eta: 8:28:33, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3444, decode.acc_seg: 71.2524, aux.loss_ce: 0.1565, aux.acc_seg: 70.1667, loss: 0.5009 +2022-06-19 05:04:07,777 - mmseg - INFO - Iter [50100/160000] lr: 2.116e-05, eta: 8:28:18, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3487, decode.acc_seg: 71.5020, aux.loss_ce: 0.1561, aux.acc_seg: 70.4881, loss: 0.5048 +2022-06-19 05:04:21,326 - mmseg - INFO - Iter [50150/160000] lr: 2.115e-05, eta: 8:28:04, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3242, decode.acc_seg: 71.1526, aux.loss_ce: 0.1461, aux.acc_seg: 69.9603, loss: 0.4704 +2022-06-19 05:04:34,805 - mmseg - INFO - Iter [50200/160000] lr: 2.114e-05, eta: 8:27:49, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3303, decode.acc_seg: 69.5796, aux.loss_ce: 0.1481, aux.acc_seg: 68.7084, loss: 0.4783 +2022-06-19 05:04:48,286 - mmseg - INFO - Iter [50250/160000] lr: 2.113e-05, eta: 8:27:34, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3243, decode.acc_seg: 70.0247, aux.loss_ce: 0.1466, aux.acc_seg: 69.2071, loss: 0.4709 +2022-06-19 05:05:01,794 - mmseg - INFO - Iter [50300/160000] lr: 2.112e-05, eta: 8:27:19, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3366, decode.acc_seg: 69.0433, aux.loss_ce: 0.1508, aux.acc_seg: 68.1023, loss: 0.4874 +2022-06-19 05:05:15,418 - mmseg - INFO - Iter [50350/160000] lr: 2.111e-05, eta: 8:27:05, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3436, decode.acc_seg: 70.2014, aux.loss_ce: 0.1541, aux.acc_seg: 69.3445, loss: 0.4977 +2022-06-19 05:05:28,944 - mmseg - INFO - Iter [50400/160000] lr: 2.110e-05, eta: 8:26:50, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3440, decode.acc_seg: 70.5244, aux.loss_ce: 0.1566, aux.acc_seg: 69.3928, loss: 0.5005 +2022-06-19 05:05:42,308 - mmseg - INFO - Iter [50450/160000] lr: 2.109e-05, eta: 8:26:35, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3342, decode.acc_seg: 71.6639, aux.loss_ce: 0.1523, aux.acc_seg: 70.5364, loss: 0.4865 +2022-06-19 05:05:55,952 - mmseg - INFO - Iter [50500/160000] lr: 2.108e-05, eta: 8:26:21, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3489, decode.acc_seg: 70.4904, aux.loss_ce: 0.1574, aux.acc_seg: 69.4283, loss: 0.5063 +2022-06-19 05:06:11,658 - mmseg - INFO - Iter [50550/160000] lr: 2.107e-05, eta: 8:26:11, time: 0.315, data_time: 0.050, memory: 56924, decode.loss_ce: 0.3344, decode.acc_seg: 70.9517, aux.loss_ce: 0.1516, aux.acc_seg: 70.0651, loss: 0.4860 +2022-06-19 05:06:25,184 - mmseg - INFO - Iter [50600/160000] lr: 2.106e-05, eta: 8:25:56, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3156, decode.acc_seg: 71.4236, aux.loss_ce: 0.1421, aux.acc_seg: 70.5478, loss: 0.4577 +2022-06-19 05:06:38,827 - mmseg - INFO - Iter [50650/160000] lr: 2.105e-05, eta: 8:25:42, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3243, decode.acc_seg: 71.2543, aux.loss_ce: 0.1465, aux.acc_seg: 70.3512, loss: 0.4707 +2022-06-19 05:06:52,270 - mmseg - INFO - Iter [50700/160000] lr: 2.104e-05, eta: 8:25:27, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3067, decode.acc_seg: 70.3978, aux.loss_ce: 0.1408, aux.acc_seg: 69.3694, loss: 0.4475 +2022-06-19 05:07:05,741 - mmseg - INFO - Iter [50750/160000] lr: 2.103e-05, eta: 8:25:13, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3141, decode.acc_seg: 71.5793, aux.loss_ce: 0.1453, aux.acc_seg: 70.3638, loss: 0.4593 +2022-06-19 05:07:19,041 - mmseg - INFO - Iter [50800/160000] lr: 2.102e-05, eta: 8:24:57, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3239, decode.acc_seg: 70.6343, aux.loss_ce: 0.1456, aux.acc_seg: 69.4343, loss: 0.4695 +2022-06-19 05:07:32,244 - mmseg - INFO - Iter [50850/160000] lr: 2.101e-05, eta: 8:24:42, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3332, decode.acc_seg: 69.8559, aux.loss_ce: 0.1509, aux.acc_seg: 68.9782, loss: 0.4841 +2022-06-19 05:07:45,803 - mmseg - INFO - Iter [50900/160000] lr: 2.100e-05, eta: 8:24:28, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3362, decode.acc_seg: 70.0475, aux.loss_ce: 0.1509, aux.acc_seg: 69.0576, loss: 0.4871 +2022-06-19 05:07:59,095 - mmseg - INFO - Iter [50950/160000] lr: 2.099e-05, eta: 8:24:12, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3125, decode.acc_seg: 69.0367, aux.loss_ce: 0.1403, aux.acc_seg: 68.1056, loss: 0.4528 +2022-06-19 05:08:12,489 - mmseg - INFO - Saving checkpoint at 51000 iterations +2022-06-19 05:08:15,396 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 05:08:15,396 - mmseg - INFO - Iter [51000/160000] lr: 2.098e-05, eta: 8:24:04, time: 0.326, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3449, decode.acc_seg: 69.9992, aux.loss_ce: 0.1567, aux.acc_seg: 68.9147, loss: 0.5016 +2022-06-19 05:08:29,102 - mmseg - INFO - Iter [51050/160000] lr: 2.097e-05, eta: 8:23:50, time: 0.274, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3374, decode.acc_seg: 70.7478, aux.loss_ce: 0.1509, aux.acc_seg: 69.6856, loss: 0.4884 +2022-06-19 05:08:42,549 - mmseg - INFO - Iter [51100/160000] lr: 2.096e-05, eta: 8:23:35, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3279, decode.acc_seg: 68.8070, aux.loss_ce: 0.1487, aux.acc_seg: 67.7125, loss: 0.4766 +2022-06-19 05:08:56,210 - mmseg - INFO - Iter [51150/160000] lr: 2.095e-05, eta: 8:23:20, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3417, decode.acc_seg: 70.3548, aux.loss_ce: 0.1535, aux.acc_seg: 69.2926, loss: 0.4952 +2022-06-19 05:09:09,728 - mmseg - INFO - Iter [51200/160000] lr: 2.094e-05, eta: 8:23:06, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3408, decode.acc_seg: 69.7496, aux.loss_ce: 0.1531, aux.acc_seg: 68.6607, loss: 0.4939 +2022-06-19 05:09:23,277 - mmseg - INFO - Iter [51250/160000] lr: 2.093e-05, eta: 8:22:51, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3279, decode.acc_seg: 70.8706, aux.loss_ce: 0.1487, aux.acc_seg: 69.8421, loss: 0.4766 +2022-06-19 05:09:36,609 - mmseg - INFO - Iter [51300/160000] lr: 2.093e-05, eta: 8:22:36, time: 0.267, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3421, decode.acc_seg: 69.1324, aux.loss_ce: 0.1543, aux.acc_seg: 68.0809, loss: 0.4964 +2022-06-19 05:09:49,919 - mmseg - INFO - Iter [51350/160000] lr: 2.092e-05, eta: 8:22:21, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3225, decode.acc_seg: 70.8724, aux.loss_ce: 0.1449, aux.acc_seg: 70.0584, loss: 0.4674 +2022-06-19 05:10:03,249 - mmseg - INFO - Iter [51400/160000] lr: 2.091e-05, eta: 8:22:06, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3265, decode.acc_seg: 69.2844, aux.loss_ce: 0.1483, aux.acc_seg: 68.2625, loss: 0.4748 +2022-06-19 05:10:16,487 - mmseg - INFO - Iter [51450/160000] lr: 2.090e-05, eta: 8:21:51, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3069, decode.acc_seg: 71.0513, aux.loss_ce: 0.1375, aux.acc_seg: 70.3737, loss: 0.4444 +2022-06-19 05:10:29,735 - mmseg - INFO - Iter [51500/160000] lr: 2.089e-05, eta: 8:21:36, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3428, decode.acc_seg: 69.9631, aux.loss_ce: 0.1535, aux.acc_seg: 69.0474, loss: 0.4963 +2022-06-19 05:10:43,259 - mmseg - INFO - Iter [51550/160000] lr: 2.088e-05, eta: 8:21:21, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3314, decode.acc_seg: 69.7872, aux.loss_ce: 0.1479, aux.acc_seg: 68.8861, loss: 0.4793 +2022-06-19 05:10:56,510 - mmseg - INFO - Iter [51600/160000] lr: 2.087e-05, eta: 8:21:06, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3317, decode.acc_seg: 70.4377, aux.loss_ce: 0.1496, aux.acc_seg: 69.4736, loss: 0.4813 +2022-06-19 05:11:10,029 - mmseg - INFO - Iter [51650/160000] lr: 2.086e-05, eta: 8:20:51, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3358, decode.acc_seg: 70.3219, aux.loss_ce: 0.1524, aux.acc_seg: 69.3504, loss: 0.4882 +2022-06-19 05:11:23,599 - mmseg - INFO - Iter [51700/160000] lr: 2.085e-05, eta: 8:20:37, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3343, decode.acc_seg: 71.7544, aux.loss_ce: 0.1480, aux.acc_seg: 70.8462, loss: 0.4823 +2022-06-19 05:11:37,073 - mmseg - INFO - Iter [51750/160000] lr: 2.084e-05, eta: 8:20:22, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3446, decode.acc_seg: 70.7417, aux.loss_ce: 0.1578, aux.acc_seg: 69.6550, loss: 0.5024 +2022-06-19 05:11:52,790 - mmseg - INFO - Iter [51800/160000] lr: 2.083e-05, eta: 8:20:12, time: 0.315, data_time: 0.048, memory: 56924, decode.loss_ce: 0.3254, decode.acc_seg: 71.0438, aux.loss_ce: 0.1495, aux.acc_seg: 69.9128, loss: 0.4749 +2022-06-19 05:12:06,293 - mmseg - INFO - Iter [51850/160000] lr: 2.082e-05, eta: 8:19:58, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3218, decode.acc_seg: 70.3244, aux.loss_ce: 0.1457, aux.acc_seg: 69.3941, loss: 0.4675 +2022-06-19 05:12:19,641 - mmseg - INFO - Iter [51900/160000] lr: 2.081e-05, eta: 8:19:43, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3297, decode.acc_seg: 69.2297, aux.loss_ce: 0.1498, aux.acc_seg: 68.0993, loss: 0.4795 +2022-06-19 05:12:33,272 - mmseg - INFO - Iter [51950/160000] lr: 2.080e-05, eta: 8:19:28, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3376, decode.acc_seg: 70.4910, aux.loss_ce: 0.1532, aux.acc_seg: 69.4451, loss: 0.4908 +2022-06-19 05:12:46,581 - mmseg - INFO - Saving checkpoint at 52000 iterations +2022-06-19 05:12:49,476 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 05:12:49,476 - mmseg - INFO - Iter [52000/160000] lr: 2.079e-05, eta: 8:19:19, time: 0.324, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3082, decode.acc_seg: 71.5554, aux.loss_ce: 0.1381, aux.acc_seg: 70.4752, loss: 0.4463 +2022-06-19 05:13:02,669 - mmseg - INFO - Iter [52050/160000] lr: 2.078e-05, eta: 8:19:04, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3583, decode.acc_seg: 69.9385, aux.loss_ce: 0.1609, aux.acc_seg: 69.0451, loss: 0.5192 +2022-06-19 05:13:16,039 - mmseg - INFO - Iter [52100/160000] lr: 2.077e-05, eta: 8:18:49, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3431, decode.acc_seg: 69.2824, aux.loss_ce: 0.1528, aux.acc_seg: 68.3522, loss: 0.4959 +2022-06-19 05:13:29,491 - mmseg - INFO - Iter [52150/160000] lr: 2.076e-05, eta: 8:18:34, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3612, decode.acc_seg: 69.1359, aux.loss_ce: 0.1630, aux.acc_seg: 67.9595, loss: 0.5242 +2022-06-19 05:13:43,031 - mmseg - INFO - Iter [52200/160000] lr: 2.075e-05, eta: 8:18:20, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3168, decode.acc_seg: 69.3000, aux.loss_ce: 0.1438, aux.acc_seg: 68.3155, loss: 0.4606 +2022-06-19 05:13:56,460 - mmseg - INFO - Iter [52250/160000] lr: 2.074e-05, eta: 8:18:05, time: 0.269, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3425, decode.acc_seg: 69.9676, aux.loss_ce: 0.1535, aux.acc_seg: 68.9520, loss: 0.4959 +2022-06-19 05:14:09,759 - mmseg - INFO - Iter [52300/160000] lr: 2.073e-05, eta: 8:17:50, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3285, decode.acc_seg: 70.4280, aux.loss_ce: 0.1480, aux.acc_seg: 69.4480, loss: 0.4765 +2022-06-19 05:14:23,042 - mmseg - INFO - Iter [52350/160000] lr: 2.072e-05, eta: 8:17:35, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3175, decode.acc_seg: 71.6183, aux.loss_ce: 0.1437, aux.acc_seg: 70.7808, loss: 0.4613 +2022-06-19 05:14:36,590 - mmseg - INFO - Iter [52400/160000] lr: 2.071e-05, eta: 8:17:20, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3150, decode.acc_seg: 71.4452, aux.loss_ce: 0.1427, aux.acc_seg: 70.3127, loss: 0.4577 +2022-06-19 05:14:50,052 - mmseg - INFO - Iter [52450/160000] lr: 2.070e-05, eta: 8:17:06, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3155, decode.acc_seg: 71.8583, aux.loss_ce: 0.1438, aux.acc_seg: 70.7386, loss: 0.4594 +2022-06-19 05:15:03,426 - mmseg - INFO - Iter [52500/160000] lr: 2.069e-05, eta: 8:16:51, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3097, decode.acc_seg: 69.7204, aux.loss_ce: 0.1410, aux.acc_seg: 68.6106, loss: 0.4507 +2022-06-19 05:15:16,746 - mmseg - INFO - Iter [52550/160000] lr: 2.068e-05, eta: 8:16:36, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3195, decode.acc_seg: 70.9459, aux.loss_ce: 0.1428, aux.acc_seg: 70.1704, loss: 0.4622 +2022-06-19 05:15:30,036 - mmseg - INFO - Iter [52600/160000] lr: 2.068e-05, eta: 8:16:21, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3262, decode.acc_seg: 69.4225, aux.loss_ce: 0.1456, aux.acc_seg: 68.4493, loss: 0.4718 +2022-06-19 05:15:43,352 - mmseg - INFO - Iter [52650/160000] lr: 2.067e-05, eta: 8:16:06, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3303, decode.acc_seg: 72.5132, aux.loss_ce: 0.1516, aux.acc_seg: 71.4329, loss: 0.4820 +2022-06-19 05:15:57,016 - mmseg - INFO - Iter [52700/160000] lr: 2.066e-05, eta: 8:15:52, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3273, decode.acc_seg: 71.2683, aux.loss_ce: 0.1468, aux.acc_seg: 70.4869, loss: 0.4741 +2022-06-19 05:16:10,466 - mmseg - INFO - Iter [52750/160000] lr: 2.065e-05, eta: 8:15:37, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3147, decode.acc_seg: 69.4588, aux.loss_ce: 0.1418, aux.acc_seg: 68.5535, loss: 0.4565 +2022-06-19 05:16:23,892 - mmseg - INFO - Iter [52800/160000] lr: 2.064e-05, eta: 8:15:22, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3424, decode.acc_seg: 69.7976, aux.loss_ce: 0.1536, aux.acc_seg: 68.8868, loss: 0.4960 +2022-06-19 05:16:37,303 - mmseg - INFO - Iter [52850/160000] lr: 2.063e-05, eta: 8:15:07, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3204, decode.acc_seg: 70.2587, aux.loss_ce: 0.1435, aux.acc_seg: 69.3599, loss: 0.4639 +2022-06-19 05:16:50,769 - mmseg - INFO - Iter [52900/160000] lr: 2.062e-05, eta: 8:14:53, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3243, decode.acc_seg: 71.2214, aux.loss_ce: 0.1437, aux.acc_seg: 70.3510, loss: 0.4680 +2022-06-19 05:17:04,166 - mmseg - INFO - Iter [52950/160000] lr: 2.061e-05, eta: 8:14:38, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3175, decode.acc_seg: 70.7815, aux.loss_ce: 0.1463, aux.acc_seg: 69.6932, loss: 0.4639 +2022-06-19 05:17:17,839 - mmseg - INFO - Saving checkpoint at 53000 iterations +2022-06-19 05:17:20,768 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 05:17:20,768 - mmseg - INFO - Iter [53000/160000] lr: 2.060e-05, eta: 8:14:30, time: 0.332, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3241, decode.acc_seg: 70.7465, aux.loss_ce: 0.1484, aux.acc_seg: 69.7111, loss: 0.4726 +2022-06-19 05:17:36,402 - mmseg - INFO - Iter [53050/160000] lr: 2.059e-05, eta: 8:14:19, time: 0.312, data_time: 0.050, memory: 56924, decode.loss_ce: 0.3384, decode.acc_seg: 69.4737, aux.loss_ce: 0.1548, aux.acc_seg: 68.2012, loss: 0.4932 +2022-06-19 05:17:49,853 - mmseg - INFO - Iter [53100/160000] lr: 2.058e-05, eta: 8:14:05, time: 0.269, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3230, decode.acc_seg: 71.1494, aux.loss_ce: 0.1458, aux.acc_seg: 70.1655, loss: 0.4687 +2022-06-19 05:18:03,386 - mmseg - INFO - Iter [53150/160000] lr: 2.057e-05, eta: 8:13:50, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3244, decode.acc_seg: 71.7304, aux.loss_ce: 0.1456, aux.acc_seg: 70.7935, loss: 0.4700 +2022-06-19 05:18:16,561 - mmseg - INFO - Iter [53200/160000] lr: 2.056e-05, eta: 8:13:35, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3167, decode.acc_seg: 72.3610, aux.loss_ce: 0.1406, aux.acc_seg: 71.4332, loss: 0.4572 +2022-06-19 05:18:30,219 - mmseg - INFO - Iter [53250/160000] lr: 2.055e-05, eta: 8:13:20, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3250, decode.acc_seg: 70.6417, aux.loss_ce: 0.1471, aux.acc_seg: 69.7122, loss: 0.4722 +2022-06-19 05:18:43,938 - mmseg - INFO - Iter [53300/160000] lr: 2.054e-05, eta: 8:13:06, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3205, decode.acc_seg: 71.0123, aux.loss_ce: 0.1453, aux.acc_seg: 70.1961, loss: 0.4659 +2022-06-19 05:18:57,277 - mmseg - INFO - Iter [53350/160000] lr: 2.053e-05, eta: 8:12:51, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3068, decode.acc_seg: 69.7116, aux.loss_ce: 0.1375, aux.acc_seg: 68.7662, loss: 0.4442 +2022-06-19 05:19:10,538 - mmseg - INFO - Iter [53400/160000] lr: 2.052e-05, eta: 8:12:36, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3294, decode.acc_seg: 71.3298, aux.loss_ce: 0.1479, aux.acc_seg: 70.4394, loss: 0.4773 +2022-06-19 05:19:23,821 - mmseg - INFO - Iter [53450/160000] lr: 2.051e-05, eta: 8:12:21, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3306, decode.acc_seg: 70.8995, aux.loss_ce: 0.1507, aux.acc_seg: 69.7589, loss: 0.4812 +2022-06-19 05:19:37,468 - mmseg - INFO - Iter [53500/160000] lr: 2.050e-05, eta: 8:12:07, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3384, decode.acc_seg: 69.1465, aux.loss_ce: 0.1535, aux.acc_seg: 68.1727, loss: 0.4919 +2022-06-19 05:19:51,099 - mmseg - INFO - Iter [53550/160000] lr: 2.049e-05, eta: 8:11:53, time: 0.273, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3283, decode.acc_seg: 69.8654, aux.loss_ce: 0.1478, aux.acc_seg: 68.9597, loss: 0.4761 +2022-06-19 05:20:04,582 - mmseg - INFO - Iter [53600/160000] lr: 2.048e-05, eta: 8:11:38, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3337, decode.acc_seg: 70.7119, aux.loss_ce: 0.1517, aux.acc_seg: 69.5804, loss: 0.4854 +2022-06-19 05:20:17,927 - mmseg - INFO - Iter [53650/160000] lr: 2.047e-05, eta: 8:11:23, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3415, decode.acc_seg: 70.6855, aux.loss_ce: 0.1544, aux.acc_seg: 69.6290, loss: 0.4959 +2022-06-19 05:20:31,336 - mmseg - INFO - Iter [53700/160000] lr: 2.046e-05, eta: 8:11:08, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3378, decode.acc_seg: 70.9557, aux.loss_ce: 0.1548, aux.acc_seg: 69.8874, loss: 0.4926 +2022-06-19 05:20:44,530 - mmseg - INFO - Iter [53750/160000] lr: 2.045e-05, eta: 8:10:53, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3118, decode.acc_seg: 71.4456, aux.loss_ce: 0.1448, aux.acc_seg: 70.2046, loss: 0.4567 +2022-06-19 05:20:58,017 - mmseg - INFO - Iter [53800/160000] lr: 2.044e-05, eta: 8:10:39, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3288, decode.acc_seg: 70.0298, aux.loss_ce: 0.1484, aux.acc_seg: 69.1483, loss: 0.4772 +2022-06-19 05:21:11,292 - mmseg - INFO - Iter [53850/160000] lr: 2.043e-05, eta: 8:10:24, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3317, decode.acc_seg: 70.0882, aux.loss_ce: 0.1488, aux.acc_seg: 69.1868, loss: 0.4805 +2022-06-19 05:21:24,645 - mmseg - INFO - Iter [53900/160000] lr: 2.042e-05, eta: 8:10:09, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3129, decode.acc_seg: 70.6203, aux.loss_ce: 0.1420, aux.acc_seg: 69.6805, loss: 0.4548 +2022-06-19 05:21:38,318 - mmseg - INFO - Iter [53950/160000] lr: 2.042e-05, eta: 8:09:55, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3054, decode.acc_seg: 70.6489, aux.loss_ce: 0.1389, aux.acc_seg: 69.6905, loss: 0.4443 +2022-06-19 05:21:51,750 - mmseg - INFO - Saving checkpoint at 54000 iterations +2022-06-19 05:21:54,752 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 05:21:54,752 - mmseg - INFO - Iter [54000/160000] lr: 2.041e-05, eta: 8:09:46, time: 0.329, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3212, decode.acc_seg: 70.2318, aux.loss_ce: 0.1446, aux.acc_seg: 69.4444, loss: 0.4658 +2022-06-19 05:22:07,991 - mmseg - INFO - Iter [54050/160000] lr: 2.040e-05, eta: 8:09:31, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3326, decode.acc_seg: 70.8401, aux.loss_ce: 0.1501, aux.acc_seg: 69.7921, loss: 0.4828 +2022-06-19 05:22:21,503 - mmseg - INFO - Iter [54100/160000] lr: 2.039e-05, eta: 8:09:16, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3222, decode.acc_seg: 69.7693, aux.loss_ce: 0.1449, aux.acc_seg: 68.8621, loss: 0.4671 +2022-06-19 05:22:35,037 - mmseg - INFO - Iter [54150/160000] lr: 2.038e-05, eta: 8:09:02, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3243, decode.acc_seg: 71.5991, aux.loss_ce: 0.1476, aux.acc_seg: 70.4619, loss: 0.4719 +2022-06-19 05:22:48,527 - mmseg - INFO - Iter [54200/160000] lr: 2.037e-05, eta: 8:08:47, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3042, decode.acc_seg: 70.0538, aux.loss_ce: 0.1371, aux.acc_seg: 69.2165, loss: 0.4413 +2022-06-19 05:23:02,307 - mmseg - INFO - Iter [54250/160000] lr: 2.036e-05, eta: 8:08:33, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3360, decode.acc_seg: 71.0983, aux.loss_ce: 0.1507, aux.acc_seg: 70.0237, loss: 0.4867 +2022-06-19 05:23:15,882 - mmseg - INFO - Iter [54300/160000] lr: 2.035e-05, eta: 8:08:19, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3306, decode.acc_seg: 70.6396, aux.loss_ce: 0.1510, aux.acc_seg: 69.5978, loss: 0.4816 +2022-06-19 05:23:31,536 - mmseg - INFO - Iter [54350/160000] lr: 2.034e-05, eta: 8:08:08, time: 0.313, data_time: 0.050, memory: 56924, decode.loss_ce: 0.3381, decode.acc_seg: 71.8771, aux.loss_ce: 0.1533, aux.acc_seg: 70.8850, loss: 0.4914 +2022-06-19 05:23:45,090 - mmseg - INFO - Iter [54400/160000] lr: 2.033e-05, eta: 8:07:54, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3224, decode.acc_seg: 69.9649, aux.loss_ce: 0.1457, aux.acc_seg: 68.9509, loss: 0.4680 +2022-06-19 05:23:58,592 - mmseg - INFO - Iter [54450/160000] lr: 2.032e-05, eta: 8:07:39, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3043, decode.acc_seg: 70.9099, aux.loss_ce: 0.1399, aux.acc_seg: 69.7059, loss: 0.4441 +2022-06-19 05:24:11,817 - mmseg - INFO - Iter [54500/160000] lr: 2.031e-05, eta: 8:07:24, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3147, decode.acc_seg: 70.6501, aux.loss_ce: 0.1430, aux.acc_seg: 69.6958, loss: 0.4578 +2022-06-19 05:24:25,234 - mmseg - INFO - Iter [54550/160000] lr: 2.030e-05, eta: 8:07:09, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3310, decode.acc_seg: 71.4364, aux.loss_ce: 0.1510, aux.acc_seg: 70.2511, loss: 0.4820 +2022-06-19 05:24:38,582 - mmseg - INFO - Iter [54600/160000] lr: 2.029e-05, eta: 8:06:55, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3096, decode.acc_seg: 70.3025, aux.loss_ce: 0.1399, aux.acc_seg: 69.5310, loss: 0.4495 +2022-06-19 05:24:51,997 - mmseg - INFO - Iter [54650/160000] lr: 2.028e-05, eta: 8:06:40, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3146, decode.acc_seg: 70.3645, aux.loss_ce: 0.1436, aux.acc_seg: 69.4150, loss: 0.4583 +2022-06-19 05:25:05,184 - mmseg - INFO - Iter [54700/160000] lr: 2.027e-05, eta: 8:06:25, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3089, decode.acc_seg: 70.0847, aux.loss_ce: 0.1398, aux.acc_seg: 69.2245, loss: 0.4487 +2022-06-19 05:25:18,688 - mmseg - INFO - Iter [54750/160000] lr: 2.026e-05, eta: 8:06:10, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3317, decode.acc_seg: 71.4778, aux.loss_ce: 0.1523, aux.acc_seg: 70.2403, loss: 0.4840 +2022-06-19 05:25:32,192 - mmseg - INFO - Iter [54800/160000] lr: 2.025e-05, eta: 8:05:56, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3052, decode.acc_seg: 69.9326, aux.loss_ce: 0.1398, aux.acc_seg: 68.8336, loss: 0.4450 +2022-06-19 05:25:45,542 - mmseg - INFO - Iter [54850/160000] lr: 2.024e-05, eta: 8:05:41, time: 0.267, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3201, decode.acc_seg: 70.1575, aux.loss_ce: 0.1470, aux.acc_seg: 69.1747, loss: 0.4671 +2022-06-19 05:25:58,903 - mmseg - INFO - Iter [54900/160000] lr: 2.023e-05, eta: 8:05:26, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3134, decode.acc_seg: 71.2495, aux.loss_ce: 0.1422, aux.acc_seg: 70.2433, loss: 0.4556 +2022-06-19 05:26:12,481 - mmseg - INFO - Iter [54950/160000] lr: 2.022e-05, eta: 8:05:12, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3213, decode.acc_seg: 69.6278, aux.loss_ce: 0.1446, aux.acc_seg: 68.7149, loss: 0.4659 +2022-06-19 05:26:25,826 - mmseg - INFO - Saving checkpoint at 55000 iterations +2022-06-19 05:26:28,773 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 05:26:28,774 - mmseg - INFO - Iter [55000/160000] lr: 2.021e-05, eta: 8:05:02, time: 0.326, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3101, decode.acc_seg: 71.5227, aux.loss_ce: 0.1400, aux.acc_seg: 70.5655, loss: 0.4501 +2022-06-19 05:26:42,103 - mmseg - INFO - Iter [55050/160000] lr: 2.020e-05, eta: 8:04:48, time: 0.266, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3231, decode.acc_seg: 70.0143, aux.loss_ce: 0.1486, aux.acc_seg: 68.9006, loss: 0.4717 +2022-06-19 05:26:55,635 - mmseg - INFO - Iter [55100/160000] lr: 2.019e-05, eta: 8:04:33, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3357, decode.acc_seg: 70.8081, aux.loss_ce: 0.1508, aux.acc_seg: 69.8635, loss: 0.4866 +2022-06-19 05:27:09,191 - mmseg - INFO - Iter [55150/160000] lr: 2.018e-05, eta: 8:04:19, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3296, decode.acc_seg: 70.5915, aux.loss_ce: 0.1497, aux.acc_seg: 69.4894, loss: 0.4793 +2022-06-19 05:27:22,643 - mmseg - INFO - Iter [55200/160000] lr: 2.017e-05, eta: 8:04:04, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3111, decode.acc_seg: 71.1950, aux.loss_ce: 0.1404, aux.acc_seg: 70.2268, loss: 0.4515 +2022-06-19 05:27:35,937 - mmseg - INFO - Iter [55250/160000] lr: 2.016e-05, eta: 8:03:49, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3293, decode.acc_seg: 70.1117, aux.loss_ce: 0.1491, aux.acc_seg: 69.2348, loss: 0.4784 +2022-06-19 05:27:49,323 - mmseg - INFO - Iter [55300/160000] lr: 2.016e-05, eta: 8:03:34, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3284, decode.acc_seg: 70.0135, aux.loss_ce: 0.1476, aux.acc_seg: 68.9275, loss: 0.4760 +2022-06-19 05:28:03,007 - mmseg - INFO - Iter [55350/160000] lr: 2.015e-05, eta: 8:03:20, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3219, decode.acc_seg: 71.1349, aux.loss_ce: 0.1449, aux.acc_seg: 70.1114, loss: 0.4668 +2022-06-19 05:28:16,612 - mmseg - INFO - Iter [55400/160000] lr: 2.014e-05, eta: 8:03:06, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3032, decode.acc_seg: 72.0337, aux.loss_ce: 0.1356, aux.acc_seg: 71.1971, loss: 0.4388 +2022-06-19 05:28:30,203 - mmseg - INFO - Iter [55450/160000] lr: 2.013e-05, eta: 8:02:51, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3101, decode.acc_seg: 71.2391, aux.loss_ce: 0.1388, aux.acc_seg: 70.4675, loss: 0.4489 +2022-06-19 05:28:43,522 - mmseg - INFO - Iter [55500/160000] lr: 2.012e-05, eta: 8:02:37, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3117, decode.acc_seg: 71.1075, aux.loss_ce: 0.1419, aux.acc_seg: 70.0714, loss: 0.4536 +2022-06-19 05:28:57,158 - mmseg - INFO - Iter [55550/160000] lr: 2.011e-05, eta: 8:02:22, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3231, decode.acc_seg: 70.6285, aux.loss_ce: 0.1474, aux.acc_seg: 69.4600, loss: 0.4705 +2022-06-19 05:29:12,949 - mmseg - INFO - Iter [55600/160000] lr: 2.010e-05, eta: 8:02:12, time: 0.316, data_time: 0.050, memory: 56924, decode.loss_ce: 0.3227, decode.acc_seg: 70.2142, aux.loss_ce: 0.1463, aux.acc_seg: 69.1707, loss: 0.4690 +2022-06-19 05:29:26,608 - mmseg - INFO - Iter [55650/160000] lr: 2.009e-05, eta: 8:01:58, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2909, decode.acc_seg: 71.1690, aux.loss_ce: 0.1312, aux.acc_seg: 70.2414, loss: 0.4221 +2022-06-19 05:29:39,814 - mmseg - INFO - Iter [55700/160000] lr: 2.008e-05, eta: 8:01:43, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3058, decode.acc_seg: 71.2275, aux.loss_ce: 0.1392, aux.acc_seg: 70.2434, loss: 0.4450 +2022-06-19 05:29:53,346 - mmseg - INFO - Iter [55750/160000] lr: 2.007e-05, eta: 8:01:28, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3058, decode.acc_seg: 70.3850, aux.loss_ce: 0.1378, aux.acc_seg: 69.4197, loss: 0.4436 +2022-06-19 05:30:06,748 - mmseg - INFO - Iter [55800/160000] lr: 2.006e-05, eta: 8:01:14, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3068, decode.acc_seg: 72.1027, aux.loss_ce: 0.1411, aux.acc_seg: 71.0318, loss: 0.4479 +2022-06-19 05:30:20,132 - mmseg - INFO - Iter [55850/160000] lr: 2.005e-05, eta: 8:00:59, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2863, decode.acc_seg: 70.8765, aux.loss_ce: 0.1302, aux.acc_seg: 70.0019, loss: 0.4165 +2022-06-19 05:30:33,317 - mmseg - INFO - Iter [55900/160000] lr: 2.004e-05, eta: 8:00:44, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3305, decode.acc_seg: 72.0359, aux.loss_ce: 0.1505, aux.acc_seg: 70.9363, loss: 0.4811 +2022-06-19 05:30:46,603 - mmseg - INFO - Iter [55950/160000] lr: 2.003e-05, eta: 8:00:29, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3124, decode.acc_seg: 70.1631, aux.loss_ce: 0.1389, aux.acc_seg: 69.4979, loss: 0.4512 +2022-06-19 05:31:00,045 - mmseg - INFO - Saving checkpoint at 56000 iterations +2022-06-19 05:31:03,002 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 05:31:03,003 - mmseg - INFO - Iter [56000/160000] lr: 2.002e-05, eta: 8:00:20, time: 0.328, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3166, decode.acc_seg: 71.4819, aux.loss_ce: 0.1431, aux.acc_seg: 70.5488, loss: 0.4597 +2022-06-19 05:31:16,420 - mmseg - INFO - Iter [56050/160000] lr: 2.001e-05, eta: 8:00:05, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3313, decode.acc_seg: 73.0257, aux.loss_ce: 0.1481, aux.acc_seg: 72.2363, loss: 0.4795 +2022-06-19 05:31:29,696 - mmseg - INFO - Iter [56100/160000] lr: 2.000e-05, eta: 7:59:50, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3182, decode.acc_seg: 71.3917, aux.loss_ce: 0.1445, aux.acc_seg: 70.4661, loss: 0.4627 +2022-06-19 05:31:43,137 - mmseg - INFO - Iter [56150/160000] lr: 1.999e-05, eta: 7:59:35, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3355, decode.acc_seg: 68.0424, aux.loss_ce: 0.1518, aux.acc_seg: 67.0666, loss: 0.4874 +2022-06-19 05:31:56,442 - mmseg - INFO - Iter [56200/160000] lr: 1.998e-05, eta: 7:59:21, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3246, decode.acc_seg: 70.7084, aux.loss_ce: 0.1478, aux.acc_seg: 69.6322, loss: 0.4724 +2022-06-19 05:32:10,000 - mmseg - INFO - Iter [56250/160000] lr: 1.997e-05, eta: 7:59:06, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3117, decode.acc_seg: 71.8951, aux.loss_ce: 0.1406, aux.acc_seg: 71.0029, loss: 0.4523 +2022-06-19 05:32:23,238 - mmseg - INFO - Iter [56300/160000] lr: 1.996e-05, eta: 7:58:51, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3320, decode.acc_seg: 70.0898, aux.loss_ce: 0.1490, aux.acc_seg: 69.0852, loss: 0.4810 +2022-06-19 05:32:36,770 - mmseg - INFO - Iter [56350/160000] lr: 1.995e-05, eta: 7:58:37, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3156, decode.acc_seg: 72.0017, aux.loss_ce: 0.1446, aux.acc_seg: 70.8643, loss: 0.4602 +2022-06-19 05:32:50,247 - mmseg - INFO - Iter [56400/160000] lr: 1.994e-05, eta: 7:58:22, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3185, decode.acc_seg: 70.0583, aux.loss_ce: 0.1447, aux.acc_seg: 69.0069, loss: 0.4632 +2022-06-19 05:33:03,529 - mmseg - INFO - Iter [56450/160000] lr: 1.993e-05, eta: 7:58:07, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3227, decode.acc_seg: 70.3101, aux.loss_ce: 0.1455, aux.acc_seg: 69.2643, loss: 0.4683 +2022-06-19 05:33:17,020 - mmseg - INFO - Iter [56500/160000] lr: 1.992e-05, eta: 7:57:53, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3197, decode.acc_seg: 71.8642, aux.loss_ce: 0.1457, aux.acc_seg: 70.8583, loss: 0.4655 +2022-06-19 05:33:30,515 - mmseg - INFO - Iter [56550/160000] lr: 1.991e-05, eta: 7:57:38, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3181, decode.acc_seg: 71.0859, aux.loss_ce: 0.1440, aux.acc_seg: 70.1421, loss: 0.4621 +2022-06-19 05:33:44,001 - mmseg - INFO - Iter [56600/160000] lr: 1.991e-05, eta: 7:57:24, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3057, decode.acc_seg: 71.7539, aux.loss_ce: 0.1383, aux.acc_seg: 70.6822, loss: 0.4440 +2022-06-19 05:33:57,566 - mmseg - INFO - Iter [56650/160000] lr: 1.990e-05, eta: 7:57:09, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3141, decode.acc_seg: 71.5010, aux.loss_ce: 0.1438, aux.acc_seg: 70.3803, loss: 0.4579 +2022-06-19 05:34:11,193 - mmseg - INFO - Iter [56700/160000] lr: 1.989e-05, eta: 7:56:55, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3187, decode.acc_seg: 71.7160, aux.loss_ce: 0.1436, aux.acc_seg: 70.7375, loss: 0.4623 +2022-06-19 05:34:24,319 - mmseg - INFO - Iter [56750/160000] lr: 1.988e-05, eta: 7:56:40, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3174, decode.acc_seg: 71.4007, aux.loss_ce: 0.1429, aux.acc_seg: 70.3290, loss: 0.4603 +2022-06-19 05:34:37,991 - mmseg - INFO - Iter [56800/160000] lr: 1.987e-05, eta: 7:56:26, time: 0.274, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3222, decode.acc_seg: 70.3084, aux.loss_ce: 0.1462, aux.acc_seg: 69.2866, loss: 0.4685 +2022-06-19 05:34:53,478 - mmseg - INFO - Iter [56850/160000] lr: 1.986e-05, eta: 7:56:15, time: 0.310, data_time: 0.050, memory: 56924, decode.loss_ce: 0.3199, decode.acc_seg: 71.2225, aux.loss_ce: 0.1460, aux.acc_seg: 70.1054, loss: 0.4659 +2022-06-19 05:35:07,094 - mmseg - INFO - Iter [56900/160000] lr: 1.985e-05, eta: 7:56:01, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2933, decode.acc_seg: 70.2812, aux.loss_ce: 0.1331, aux.acc_seg: 69.3541, loss: 0.4264 +2022-06-19 05:35:20,439 - mmseg - INFO - Iter [56950/160000] lr: 1.984e-05, eta: 7:55:46, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3086, decode.acc_seg: 71.3761, aux.loss_ce: 0.1425, aux.acc_seg: 70.1555, loss: 0.4511 +2022-06-19 05:35:33,576 - mmseg - INFO - Saving checkpoint at 57000 iterations +2022-06-19 05:35:36,511 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 05:35:36,512 - mmseg - INFO - Iter [57000/160000] lr: 1.983e-05, eta: 7:55:36, time: 0.322, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3052, decode.acc_seg: 71.3974, aux.loss_ce: 0.1388, aux.acc_seg: 70.4272, loss: 0.4440 +2022-06-19 05:35:50,104 - mmseg - INFO - Iter [57050/160000] lr: 1.982e-05, eta: 7:55:22, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3016, decode.acc_seg: 71.6111, aux.loss_ce: 0.1386, aux.acc_seg: 70.6487, loss: 0.4402 +2022-06-19 05:36:03,539 - mmseg - INFO - Iter [57100/160000] lr: 1.981e-05, eta: 7:55:07, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3187, decode.acc_seg: 70.4802, aux.loss_ce: 0.1455, aux.acc_seg: 69.4652, loss: 0.4642 +2022-06-19 05:36:17,255 - mmseg - INFO - Iter [57150/160000] lr: 1.980e-05, eta: 7:54:53, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3074, decode.acc_seg: 70.7906, aux.loss_ce: 0.1419, aux.acc_seg: 69.4867, loss: 0.4493 +2022-06-19 05:36:30,766 - mmseg - INFO - Iter [57200/160000] lr: 1.979e-05, eta: 7:54:39, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2969, decode.acc_seg: 69.4834, aux.loss_ce: 0.1336, aux.acc_seg: 68.6563, loss: 0.4306 +2022-06-19 05:36:44,200 - mmseg - INFO - Iter [57250/160000] lr: 1.978e-05, eta: 7:54:24, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2996, decode.acc_seg: 70.8935, aux.loss_ce: 0.1374, aux.acc_seg: 69.7153, loss: 0.4370 +2022-06-19 05:36:57,701 - mmseg - INFO - Iter [57300/160000] lr: 1.977e-05, eta: 7:54:10, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3384, decode.acc_seg: 70.1968, aux.loss_ce: 0.1553, aux.acc_seg: 69.1488, loss: 0.4937 +2022-06-19 05:37:11,385 - mmseg - INFO - Iter [57350/160000] lr: 1.976e-05, eta: 7:53:55, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3091, decode.acc_seg: 70.2829, aux.loss_ce: 0.1397, aux.acc_seg: 69.3614, loss: 0.4488 +2022-06-19 05:37:24,834 - mmseg - INFO - Iter [57400/160000] lr: 1.975e-05, eta: 7:53:41, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3462, decode.acc_seg: 69.9235, aux.loss_ce: 0.1551, aux.acc_seg: 69.0954, loss: 0.5012 +2022-06-19 05:37:38,355 - mmseg - INFO - Iter [57450/160000] lr: 1.974e-05, eta: 7:53:26, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3290, decode.acc_seg: 70.6175, aux.loss_ce: 0.1496, aux.acc_seg: 69.5747, loss: 0.4787 +2022-06-19 05:37:51,730 - mmseg - INFO - Iter [57500/160000] lr: 1.973e-05, eta: 7:53:12, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3136, decode.acc_seg: 70.0623, aux.loss_ce: 0.1413, aux.acc_seg: 69.0570, loss: 0.4549 +2022-06-19 05:38:04,952 - mmseg - INFO - Iter [57550/160000] lr: 1.972e-05, eta: 7:52:57, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3061, decode.acc_seg: 70.4796, aux.loss_ce: 0.1391, aux.acc_seg: 69.4869, loss: 0.4452 +2022-06-19 05:38:18,308 - mmseg - INFO - Iter [57600/160000] lr: 1.971e-05, eta: 7:52:42, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3077, decode.acc_seg: 71.1465, aux.loss_ce: 0.1411, aux.acc_seg: 70.0290, loss: 0.4488 +2022-06-19 05:38:31,496 - mmseg - INFO - Iter [57650/160000] lr: 1.970e-05, eta: 7:52:27, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3375, decode.acc_seg: 72.3338, aux.loss_ce: 0.1523, aux.acc_seg: 71.2878, loss: 0.4898 +2022-06-19 05:38:45,126 - mmseg - INFO - Iter [57700/160000] lr: 1.969e-05, eta: 7:52:13, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3113, decode.acc_seg: 71.5104, aux.loss_ce: 0.1404, aux.acc_seg: 70.5056, loss: 0.4517 +2022-06-19 05:38:58,627 - mmseg - INFO - Iter [57750/160000] lr: 1.968e-05, eta: 7:51:58, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3163, decode.acc_seg: 69.5699, aux.loss_ce: 0.1428, aux.acc_seg: 68.6761, loss: 0.4591 +2022-06-19 05:39:12,217 - mmseg - INFO - Iter [57800/160000] lr: 1.967e-05, eta: 7:51:44, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3031, decode.acc_seg: 70.3163, aux.loss_ce: 0.1389, aux.acc_seg: 69.2987, loss: 0.4420 +2022-06-19 05:39:25,931 - mmseg - INFO - Iter [57850/160000] lr: 1.966e-05, eta: 7:51:30, time: 0.274, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3619, decode.acc_seg: 70.4696, aux.loss_ce: 0.1619, aux.acc_seg: 69.1590, loss: 0.5238 +2022-06-19 05:39:39,330 - mmseg - INFO - Iter [57900/160000] lr: 1.965e-05, eta: 7:51:15, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3260, decode.acc_seg: 70.2423, aux.loss_ce: 0.1478, aux.acc_seg: 69.2448, loss: 0.4738 +2022-06-19 05:39:52,833 - mmseg - INFO - Iter [57950/160000] lr: 1.965e-05, eta: 7:51:01, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3294, decode.acc_seg: 68.4344, aux.loss_ce: 0.1479, aux.acc_seg: 67.3617, loss: 0.4773 +2022-06-19 05:40:06,183 - mmseg - INFO - Saving checkpoint at 58000 iterations +2022-06-19 05:40:09,162 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 05:40:09,162 - mmseg - INFO - Iter [58000/160000] lr: 1.964e-05, eta: 7:50:51, time: 0.327, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3084, decode.acc_seg: 70.1413, aux.loss_ce: 0.1419, aux.acc_seg: 68.9169, loss: 0.4503 +2022-06-19 05:40:22,486 - mmseg - INFO - Iter [58050/160000] lr: 1.963e-05, eta: 7:50:36, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3248, decode.acc_seg: 70.4007, aux.loss_ce: 0.1454, aux.acc_seg: 69.5771, loss: 0.4702 +2022-06-19 05:40:38,281 - mmseg - INFO - Iter [58100/160000] lr: 1.962e-05, eta: 7:50:26, time: 0.316, data_time: 0.053, memory: 56924, decode.loss_ce: 0.2974, decode.acc_seg: 71.3399, aux.loss_ce: 0.1343, aux.acc_seg: 70.3395, loss: 0.4317 +2022-06-19 05:40:51,842 - mmseg - INFO - Iter [58150/160000] lr: 1.961e-05, eta: 7:50:12, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2956, decode.acc_seg: 70.7625, aux.loss_ce: 0.1342, aux.acc_seg: 69.8757, loss: 0.4298 +2022-06-19 05:41:05,242 - mmseg - INFO - Iter [58200/160000] lr: 1.960e-05, eta: 7:49:57, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3020, decode.acc_seg: 71.0801, aux.loss_ce: 0.1385, aux.acc_seg: 70.1998, loss: 0.4405 +2022-06-19 05:41:18,825 - mmseg - INFO - Iter [58250/160000] lr: 1.959e-05, eta: 7:49:43, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3000, decode.acc_seg: 70.5086, aux.loss_ce: 0.1357, aux.acc_seg: 69.4571, loss: 0.4357 +2022-06-19 05:41:32,382 - mmseg - INFO - Iter [58300/160000] lr: 1.958e-05, eta: 7:49:28, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3069, decode.acc_seg: 70.3378, aux.loss_ce: 0.1406, aux.acc_seg: 69.0965, loss: 0.4475 +2022-06-19 05:41:45,732 - mmseg - INFO - Iter [58350/160000] lr: 1.957e-05, eta: 7:49:14, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3257, decode.acc_seg: 70.6746, aux.loss_ce: 0.1479, aux.acc_seg: 69.4720, loss: 0.4736 +2022-06-19 05:41:59,001 - mmseg - INFO - Iter [58400/160000] lr: 1.956e-05, eta: 7:48:59, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2951, decode.acc_seg: 71.0680, aux.loss_ce: 0.1367, aux.acc_seg: 69.9615, loss: 0.4318 +2022-06-19 05:42:12,584 - mmseg - INFO - Iter [58450/160000] lr: 1.955e-05, eta: 7:48:44, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3060, decode.acc_seg: 71.3601, aux.loss_ce: 0.1397, aux.acc_seg: 70.3128, loss: 0.4456 +2022-06-19 05:42:26,159 - mmseg - INFO - Iter [58500/160000] lr: 1.954e-05, eta: 7:48:30, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2950, decode.acc_seg: 70.8320, aux.loss_ce: 0.1339, aux.acc_seg: 69.8590, loss: 0.4289 +2022-06-19 05:42:39,646 - mmseg - INFO - Iter [58550/160000] lr: 1.953e-05, eta: 7:48:16, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2899, decode.acc_seg: 71.7930, aux.loss_ce: 0.1350, aux.acc_seg: 70.6767, loss: 0.4250 +2022-06-19 05:42:53,107 - mmseg - INFO - Iter [58600/160000] lr: 1.952e-05, eta: 7:48:01, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3102, decode.acc_seg: 70.2706, aux.loss_ce: 0.1430, aux.acc_seg: 69.1981, loss: 0.4533 +2022-06-19 05:43:06,429 - mmseg - INFO - Iter [58650/160000] lr: 1.951e-05, eta: 7:47:46, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2935, decode.acc_seg: 70.9917, aux.loss_ce: 0.1315, aux.acc_seg: 70.2002, loss: 0.4250 +2022-06-19 05:43:19,885 - mmseg - INFO - Iter [58700/160000] lr: 1.950e-05, eta: 7:47:32, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3026, decode.acc_seg: 70.2631, aux.loss_ce: 0.1371, aux.acc_seg: 69.3818, loss: 0.4397 +2022-06-19 05:43:33,412 - mmseg - INFO - Iter [58750/160000] lr: 1.949e-05, eta: 7:47:18, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3094, decode.acc_seg: 71.1421, aux.loss_ce: 0.1384, aux.acc_seg: 70.3355, loss: 0.4477 +2022-06-19 05:43:46,480 - mmseg - INFO - Iter [58800/160000] lr: 1.948e-05, eta: 7:47:02, time: 0.261, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3149, decode.acc_seg: 72.0524, aux.loss_ce: 0.1418, aux.acc_seg: 71.0404, loss: 0.4567 +2022-06-19 05:43:59,886 - mmseg - INFO - Iter [58850/160000] lr: 1.947e-05, eta: 7:46:48, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3185, decode.acc_seg: 71.4204, aux.loss_ce: 0.1441, aux.acc_seg: 70.3919, loss: 0.4626 +2022-06-19 05:44:13,364 - mmseg - INFO - Iter [58900/160000] lr: 1.946e-05, eta: 7:46:33, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3256, decode.acc_seg: 71.8912, aux.loss_ce: 0.1470, aux.acc_seg: 70.8711, loss: 0.4726 +2022-06-19 05:44:26,690 - mmseg - INFO - Iter [58950/160000] lr: 1.945e-05, eta: 7:46:19, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3160, decode.acc_seg: 71.1289, aux.loss_ce: 0.1449, aux.acc_seg: 69.9324, loss: 0.4609 +2022-06-19 05:44:40,127 - mmseg - INFO - Saving checkpoint at 59000 iterations +2022-06-19 05:44:43,036 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 05:44:43,036 - mmseg - INFO - Iter [59000/160000] lr: 1.944e-05, eta: 7:46:09, time: 0.327, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3145, decode.acc_seg: 72.3318, aux.loss_ce: 0.1420, aux.acc_seg: 71.4202, loss: 0.4565 +2022-06-19 05:44:56,363 - mmseg - INFO - Iter [59050/160000] lr: 1.943e-05, eta: 7:45:54, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2955, decode.acc_seg: 70.6216, aux.loss_ce: 0.1352, aux.acc_seg: 69.4225, loss: 0.4306 +2022-06-19 05:45:09,774 - mmseg - INFO - Iter [59100/160000] lr: 1.942e-05, eta: 7:45:40, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3070, decode.acc_seg: 70.8877, aux.loss_ce: 0.1395, aux.acc_seg: 69.9579, loss: 0.4464 +2022-06-19 05:45:23,359 - mmseg - INFO - Iter [59150/160000] lr: 1.941e-05, eta: 7:45:25, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3150, decode.acc_seg: 69.6883, aux.loss_ce: 0.1429, aux.acc_seg: 68.5835, loss: 0.4579 +2022-06-19 05:45:36,506 - mmseg - INFO - Iter [59200/160000] lr: 1.940e-05, eta: 7:45:10, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3241, decode.acc_seg: 70.9870, aux.loss_ce: 0.1472, aux.acc_seg: 69.9902, loss: 0.4713 +2022-06-19 05:45:49,679 - mmseg - INFO - Iter [59250/160000] lr: 1.939e-05, eta: 7:44:55, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3216, decode.acc_seg: 69.7191, aux.loss_ce: 0.1451, aux.acc_seg: 68.7229, loss: 0.4667 +2022-06-19 05:46:03,311 - mmseg - INFO - Iter [59300/160000] lr: 1.939e-05, eta: 7:44:41, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3296, decode.acc_seg: 71.0927, aux.loss_ce: 0.1524, aux.acc_seg: 69.9626, loss: 0.4820 +2022-06-19 05:46:16,812 - mmseg - INFO - Iter [59350/160000] lr: 1.938e-05, eta: 7:44:27, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2931, decode.acc_seg: 72.2981, aux.loss_ce: 0.1358, aux.acc_seg: 71.1626, loss: 0.4288 +2022-06-19 05:46:32,286 - mmseg - INFO - Iter [59400/160000] lr: 1.937e-05, eta: 7:44:16, time: 0.309, data_time: 0.051, memory: 56924, decode.loss_ce: 0.3123, decode.acc_seg: 72.2813, aux.loss_ce: 0.1443, aux.acc_seg: 71.1147, loss: 0.4566 +2022-06-19 05:46:45,935 - mmseg - INFO - Iter [59450/160000] lr: 1.936e-05, eta: 7:44:01, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2911, decode.acc_seg: 71.0967, aux.loss_ce: 0.1319, aux.acc_seg: 70.2715, loss: 0.4231 +2022-06-19 05:46:59,602 - mmseg - INFO - Iter [59500/160000] lr: 1.935e-05, eta: 7:43:47, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2920, decode.acc_seg: 70.6816, aux.loss_ce: 0.1344, aux.acc_seg: 69.6233, loss: 0.4264 +2022-06-19 05:47:13,186 - mmseg - INFO - Iter [59550/160000] lr: 1.934e-05, eta: 7:43:33, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2982, decode.acc_seg: 71.0298, aux.loss_ce: 0.1360, aux.acc_seg: 70.0773, loss: 0.4342 +2022-06-19 05:47:26,535 - mmseg - INFO - Iter [59600/160000] lr: 1.933e-05, eta: 7:43:18, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2974, decode.acc_seg: 71.0887, aux.loss_ce: 0.1339, aux.acc_seg: 70.2065, loss: 0.4314 +2022-06-19 05:47:40,118 - mmseg - INFO - Iter [59650/160000] lr: 1.932e-05, eta: 7:43:04, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3221, decode.acc_seg: 71.6767, aux.loss_ce: 0.1458, aux.acc_seg: 70.6540, loss: 0.4679 +2022-06-19 05:47:53,624 - mmseg - INFO - Iter [59700/160000] lr: 1.931e-05, eta: 7:42:50, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2995, decode.acc_seg: 72.0308, aux.loss_ce: 0.1354, aux.acc_seg: 71.1528, loss: 0.4349 +2022-06-19 05:48:07,068 - mmseg - INFO - Iter [59750/160000] lr: 1.930e-05, eta: 7:42:35, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2975, decode.acc_seg: 71.6083, aux.loss_ce: 0.1369, aux.acc_seg: 70.6708, loss: 0.4344 +2022-06-19 05:48:20,612 - mmseg - INFO - Iter [59800/160000] lr: 1.929e-05, eta: 7:42:21, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3394, decode.acc_seg: 70.3247, aux.loss_ce: 0.1538, aux.acc_seg: 69.2715, loss: 0.4932 +2022-06-19 05:48:33,906 - mmseg - INFO - Iter [59850/160000] lr: 1.928e-05, eta: 7:42:06, time: 0.266, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3145, decode.acc_seg: 69.1648, aux.loss_ce: 0.1401, aux.acc_seg: 68.2552, loss: 0.4546 +2022-06-19 05:48:47,425 - mmseg - INFO - Iter [59900/160000] lr: 1.927e-05, eta: 7:41:52, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3177, decode.acc_seg: 71.9811, aux.loss_ce: 0.1440, aux.acc_seg: 70.9713, loss: 0.4618 +2022-06-19 05:49:01,166 - mmseg - INFO - Iter [59950/160000] lr: 1.926e-05, eta: 7:41:38, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3196, decode.acc_seg: 70.9996, aux.loss_ce: 0.1459, aux.acc_seg: 69.7861, loss: 0.4655 +2022-06-19 05:49:14,371 - mmseg - INFO - Saving checkpoint at 60000 iterations +2022-06-19 05:49:17,279 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 05:49:17,279 - mmseg - INFO - Iter [60000/160000] lr: 1.925e-05, eta: 7:41:28, time: 0.322, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3207, decode.acc_seg: 71.0164, aux.loss_ce: 0.1457, aux.acc_seg: 70.1119, loss: 0.4664 +2022-06-19 05:49:30,788 - mmseg - INFO - Iter [60050/160000] lr: 1.924e-05, eta: 7:41:13, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3177, decode.acc_seg: 69.4936, aux.loss_ce: 0.1462, aux.acc_seg: 68.3475, loss: 0.4639 +2022-06-19 05:49:44,117 - mmseg - INFO - Iter [60100/160000] lr: 1.923e-05, eta: 7:40:58, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3017, decode.acc_seg: 69.6570, aux.loss_ce: 0.1370, aux.acc_seg: 68.6723, loss: 0.4386 +2022-06-19 05:49:57,340 - mmseg - INFO - Iter [60150/160000] lr: 1.922e-05, eta: 7:40:44, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3018, decode.acc_seg: 70.3969, aux.loss_ce: 0.1380, aux.acc_seg: 69.4616, loss: 0.4398 +2022-06-19 05:50:10,881 - mmseg - INFO - Iter [60200/160000] lr: 1.921e-05, eta: 7:40:29, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3140, decode.acc_seg: 71.8519, aux.loss_ce: 0.1413, aux.acc_seg: 70.9745, loss: 0.4553 +2022-06-19 05:50:24,303 - mmseg - INFO - Iter [60250/160000] lr: 1.920e-05, eta: 7:40:15, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3071, decode.acc_seg: 72.2694, aux.loss_ce: 0.1405, aux.acc_seg: 71.0873, loss: 0.4476 +2022-06-19 05:50:37,788 - mmseg - INFO - Iter [60300/160000] lr: 1.919e-05, eta: 7:40:00, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2963, decode.acc_seg: 71.1124, aux.loss_ce: 0.1348, aux.acc_seg: 70.2683, loss: 0.4311 +2022-06-19 05:50:51,076 - mmseg - INFO - Iter [60350/160000] lr: 1.918e-05, eta: 7:39:46, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3228, decode.acc_seg: 70.1700, aux.loss_ce: 0.1479, aux.acc_seg: 69.0709, loss: 0.4708 +2022-06-19 05:51:04,540 - mmseg - INFO - Iter [60400/160000] lr: 1.917e-05, eta: 7:39:31, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3186, decode.acc_seg: 72.1797, aux.loss_ce: 0.1441, aux.acc_seg: 71.2373, loss: 0.4627 +2022-06-19 05:51:17,875 - mmseg - INFO - Iter [60450/160000] lr: 1.916e-05, eta: 7:39:16, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3205, decode.acc_seg: 70.3459, aux.loss_ce: 0.1431, aux.acc_seg: 69.5320, loss: 0.4636 +2022-06-19 05:51:31,211 - mmseg - INFO - Iter [60500/160000] lr: 1.915e-05, eta: 7:39:02, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3043, decode.acc_seg: 72.2835, aux.loss_ce: 0.1411, aux.acc_seg: 71.0411, loss: 0.4454 +2022-06-19 05:51:44,334 - mmseg - INFO - Iter [60550/160000] lr: 1.914e-05, eta: 7:38:47, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3128, decode.acc_seg: 71.2337, aux.loss_ce: 0.1434, aux.acc_seg: 70.2676, loss: 0.4562 +2022-06-19 05:51:57,998 - mmseg - INFO - Iter [60600/160000] lr: 1.914e-05, eta: 7:38:33, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2906, decode.acc_seg: 71.8278, aux.loss_ce: 0.1316, aux.acc_seg: 70.9028, loss: 0.4222 +2022-06-19 05:52:13,744 - mmseg - INFO - Iter [60650/160000] lr: 1.913e-05, eta: 7:38:22, time: 0.315, data_time: 0.051, memory: 56924, decode.loss_ce: 0.3097, decode.acc_seg: 70.3387, aux.loss_ce: 0.1393, aux.acc_seg: 69.2740, loss: 0.4491 +2022-06-19 05:52:27,155 - mmseg - INFO - Iter [60700/160000] lr: 1.912e-05, eta: 7:38:07, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2877, decode.acc_seg: 70.7188, aux.loss_ce: 0.1308, aux.acc_seg: 69.7401, loss: 0.4186 +2022-06-19 05:52:40,899 - mmseg - INFO - Iter [60750/160000] lr: 1.911e-05, eta: 7:37:53, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2939, decode.acc_seg: 72.0079, aux.loss_ce: 0.1337, aux.acc_seg: 71.0756, loss: 0.4276 +2022-06-19 05:52:54,500 - mmseg - INFO - Iter [60800/160000] lr: 1.910e-05, eta: 7:37:39, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2962, decode.acc_seg: 70.5043, aux.loss_ce: 0.1365, aux.acc_seg: 69.4787, loss: 0.4327 +2022-06-19 05:53:07,871 - mmseg - INFO - Iter [60850/160000] lr: 1.909e-05, eta: 7:37:24, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3009, decode.acc_seg: 69.8589, aux.loss_ce: 0.1382, aux.acc_seg: 68.8634, loss: 0.4390 +2022-06-19 05:53:21,392 - mmseg - INFO - Iter [60900/160000] lr: 1.908e-05, eta: 7:37:10, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2960, decode.acc_seg: 72.0309, aux.loss_ce: 0.1374, aux.acc_seg: 70.7564, loss: 0.4333 +2022-06-19 05:53:34,575 - mmseg - INFO - Iter [60950/160000] lr: 1.907e-05, eta: 7:36:55, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3001, decode.acc_seg: 69.4510, aux.loss_ce: 0.1374, aux.acc_seg: 68.3025, loss: 0.4375 +2022-06-19 05:53:47,954 - mmseg - INFO - Saving checkpoint at 61000 iterations +2022-06-19 05:53:50,900 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 05:53:50,900 - mmseg - INFO - Iter [61000/160000] lr: 1.906e-05, eta: 7:36:45, time: 0.327, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2912, decode.acc_seg: 71.3784, aux.loss_ce: 0.1304, aux.acc_seg: 70.6407, loss: 0.4216 +2022-06-19 05:54:04,508 - mmseg - INFO - Iter [61050/160000] lr: 1.905e-05, eta: 7:36:31, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2849, decode.acc_seg: 72.5275, aux.loss_ce: 0.1302, aux.acc_seg: 71.5454, loss: 0.4151 +2022-06-19 05:54:17,752 - mmseg - INFO - Iter [61100/160000] lr: 1.904e-05, eta: 7:36:16, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2985, decode.acc_seg: 73.2491, aux.loss_ce: 0.1361, aux.acc_seg: 72.3030, loss: 0.4346 +2022-06-19 05:54:31,209 - mmseg - INFO - Iter [61150/160000] lr: 1.903e-05, eta: 7:36:02, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2986, decode.acc_seg: 71.2501, aux.loss_ce: 0.1359, aux.acc_seg: 70.2136, loss: 0.4346 +2022-06-19 05:54:44,826 - mmseg - INFO - Iter [61200/160000] lr: 1.902e-05, eta: 7:35:48, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3165, decode.acc_seg: 71.0028, aux.loss_ce: 0.1429, aux.acc_seg: 70.1604, loss: 0.4594 +2022-06-19 05:54:57,871 - mmseg - INFO - Iter [61250/160000] lr: 1.901e-05, eta: 7:35:33, time: 0.261, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2883, decode.acc_seg: 72.3152, aux.loss_ce: 0.1314, aux.acc_seg: 71.4819, loss: 0.4196 +2022-06-19 05:55:11,245 - mmseg - INFO - Iter [61300/160000] lr: 1.900e-05, eta: 7:35:18, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2997, decode.acc_seg: 71.8854, aux.loss_ce: 0.1367, aux.acc_seg: 70.7903, loss: 0.4364 +2022-06-19 05:55:24,836 - mmseg - INFO - Iter [61350/160000] lr: 1.899e-05, eta: 7:35:04, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3050, decode.acc_seg: 68.9041, aux.loss_ce: 0.1380, aux.acc_seg: 67.9657, loss: 0.4430 +2022-06-19 05:55:38,193 - mmseg - INFO - Iter [61400/160000] lr: 1.898e-05, eta: 7:34:49, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3311, decode.acc_seg: 70.4854, aux.loss_ce: 0.1505, aux.acc_seg: 69.3917, loss: 0.4816 +2022-06-19 05:55:51,368 - mmseg - INFO - Iter [61450/160000] lr: 1.897e-05, eta: 7:34:34, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3219, decode.acc_seg: 70.1511, aux.loss_ce: 0.1460, aux.acc_seg: 69.0339, loss: 0.4680 +2022-06-19 05:56:04,759 - mmseg - INFO - Iter [61500/160000] lr: 1.896e-05, eta: 7:34:20, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3046, decode.acc_seg: 70.7287, aux.loss_ce: 0.1394, aux.acc_seg: 69.5772, loss: 0.4440 +2022-06-19 05:56:18,420 - mmseg - INFO - Iter [61550/160000] lr: 1.895e-05, eta: 7:34:06, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3117, decode.acc_seg: 70.9883, aux.loss_ce: 0.1425, aux.acc_seg: 70.0035, loss: 0.4542 +2022-06-19 05:56:31,910 - mmseg - INFO - Iter [61600/160000] lr: 1.894e-05, eta: 7:33:51, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2896, decode.acc_seg: 72.1296, aux.loss_ce: 0.1310, aux.acc_seg: 71.2702, loss: 0.4206 +2022-06-19 05:56:45,267 - mmseg - INFO - Iter [61650/160000] lr: 1.893e-05, eta: 7:33:37, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3067, decode.acc_seg: 70.7649, aux.loss_ce: 0.1387, aux.acc_seg: 69.7653, loss: 0.4454 +2022-06-19 05:56:58,608 - mmseg - INFO - Iter [61700/160000] lr: 1.892e-05, eta: 7:33:22, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3065, decode.acc_seg: 71.7836, aux.loss_ce: 0.1388, aux.acc_seg: 70.8787, loss: 0.4452 +2022-06-19 05:57:11,984 - mmseg - INFO - Iter [61750/160000] lr: 1.891e-05, eta: 7:33:07, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3110, decode.acc_seg: 69.5553, aux.loss_ce: 0.1426, aux.acc_seg: 68.5110, loss: 0.4536 +2022-06-19 05:57:25,524 - mmseg - INFO - Iter [61800/160000] lr: 1.890e-05, eta: 7:32:53, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2903, decode.acc_seg: 71.1988, aux.loss_ce: 0.1329, aux.acc_seg: 70.3262, loss: 0.4232 +2022-06-19 05:57:38,924 - mmseg - INFO - Iter [61850/160000] lr: 1.889e-05, eta: 7:32:39, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3276, decode.acc_seg: 70.9777, aux.loss_ce: 0.1489, aux.acc_seg: 70.0778, loss: 0.4765 +2022-06-19 05:57:54,587 - mmseg - INFO - Iter [61900/160000] lr: 1.888e-05, eta: 7:32:28, time: 0.313, data_time: 0.048, memory: 56924, decode.loss_ce: 0.2914, decode.acc_seg: 70.8750, aux.loss_ce: 0.1338, aux.acc_seg: 69.7537, loss: 0.4252 +2022-06-19 05:58:08,210 - mmseg - INFO - Iter [61950/160000] lr: 1.888e-05, eta: 7:32:13, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2956, decode.acc_seg: 70.1888, aux.loss_ce: 0.1339, aux.acc_seg: 69.3466, loss: 0.4295 +2022-06-19 05:58:21,819 - mmseg - INFO - Saving checkpoint at 62000 iterations +2022-06-19 05:58:24,749 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 05:58:24,750 - mmseg - INFO - Iter [62000/160000] lr: 1.887e-05, eta: 7:32:04, time: 0.331, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2986, decode.acc_seg: 71.0134, aux.loss_ce: 0.1371, aux.acc_seg: 69.9755, loss: 0.4357 +2022-06-19 05:58:38,016 - mmseg - INFO - Iter [62050/160000] lr: 1.886e-05, eta: 7:31:49, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3000, decode.acc_seg: 71.2019, aux.loss_ce: 0.1386, aux.acc_seg: 70.1575, loss: 0.4386 +2022-06-19 05:58:51,496 - mmseg - INFO - Iter [62100/160000] lr: 1.885e-05, eta: 7:31:35, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3078, decode.acc_seg: 70.4576, aux.loss_ce: 0.1408, aux.acc_seg: 69.3813, loss: 0.4486 +2022-06-19 05:59:05,069 - mmseg - INFO - Iter [62150/160000] lr: 1.884e-05, eta: 7:31:20, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2802, decode.acc_seg: 71.1616, aux.loss_ce: 0.1278, aux.acc_seg: 70.2542, loss: 0.4079 +2022-06-19 05:59:18,671 - mmseg - INFO - Iter [62200/160000] lr: 1.883e-05, eta: 7:31:06, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3074, decode.acc_seg: 72.6285, aux.loss_ce: 0.1400, aux.acc_seg: 71.6564, loss: 0.4474 +2022-06-19 05:59:32,223 - mmseg - INFO - Iter [62250/160000] lr: 1.882e-05, eta: 7:30:52, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2908, decode.acc_seg: 71.9203, aux.loss_ce: 0.1325, aux.acc_seg: 70.9419, loss: 0.4233 +2022-06-19 05:59:45,668 - mmseg - INFO - Iter [62300/160000] lr: 1.881e-05, eta: 7:30:37, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2880, decode.acc_seg: 71.8232, aux.loss_ce: 0.1325, aux.acc_seg: 70.7846, loss: 0.4205 +2022-06-19 05:59:58,952 - mmseg - INFO - Iter [62350/160000] lr: 1.880e-05, eta: 7:30:23, time: 0.266, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2990, decode.acc_seg: 73.4173, aux.loss_ce: 0.1373, aux.acc_seg: 72.2830, loss: 0.4363 +2022-06-19 06:00:13,756 - mmseg - INFO - Iter [62400/160000] lr: 1.879e-05, eta: 7:30:10, time: 0.296, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2912, decode.acc_seg: 72.2932, aux.loss_ce: 0.1317, aux.acc_seg: 71.2807, loss: 0.4229 +2022-06-19 06:00:27,358 - mmseg - INFO - Iter [62450/160000] lr: 1.878e-05, eta: 7:29:56, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2919, decode.acc_seg: 72.5199, aux.loss_ce: 0.1321, aux.acc_seg: 71.3927, loss: 0.4240 +2022-06-19 06:00:40,826 - mmseg - INFO - Iter [62500/160000] lr: 1.877e-05, eta: 7:29:42, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2736, decode.acc_seg: 71.5416, aux.loss_ce: 0.1262, aux.acc_seg: 70.4669, loss: 0.3998 +2022-06-19 06:00:54,310 - mmseg - INFO - Iter [62550/160000] lr: 1.876e-05, eta: 7:29:27, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2969, decode.acc_seg: 72.1360, aux.loss_ce: 0.1372, aux.acc_seg: 70.9018, loss: 0.4341 +2022-06-19 06:01:07,753 - mmseg - INFO - Iter [62600/160000] lr: 1.875e-05, eta: 7:29:13, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2970, decode.acc_seg: 70.2887, aux.loss_ce: 0.1364, aux.acc_seg: 69.2029, loss: 0.4334 +2022-06-19 06:01:21,123 - mmseg - INFO - Iter [62650/160000] lr: 1.874e-05, eta: 7:28:58, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2960, decode.acc_seg: 71.3773, aux.loss_ce: 0.1354, aux.acc_seg: 70.4699, loss: 0.4314 +2022-06-19 06:01:34,447 - mmseg - INFO - Iter [62700/160000] lr: 1.873e-05, eta: 7:28:44, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2872, decode.acc_seg: 72.8984, aux.loss_ce: 0.1302, aux.acc_seg: 71.9928, loss: 0.4174 +2022-06-19 06:01:47,785 - mmseg - INFO - Iter [62750/160000] lr: 1.872e-05, eta: 7:28:29, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3113, decode.acc_seg: 70.4827, aux.loss_ce: 0.1404, aux.acc_seg: 69.5430, loss: 0.4517 +2022-06-19 06:02:01,452 - mmseg - INFO - Iter [62800/160000] lr: 1.871e-05, eta: 7:28:15, time: 0.273, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3144, decode.acc_seg: 70.4843, aux.loss_ce: 0.1445, aux.acc_seg: 69.3856, loss: 0.4590 +2022-06-19 06:02:15,114 - mmseg - INFO - Iter [62850/160000] lr: 1.870e-05, eta: 7:28:01, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2952, decode.acc_seg: 70.7719, aux.loss_ce: 0.1354, aux.acc_seg: 69.6912, loss: 0.4306 +2022-06-19 06:02:28,559 - mmseg - INFO - Iter [62900/160000] lr: 1.869e-05, eta: 7:27:47, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2985, decode.acc_seg: 70.9851, aux.loss_ce: 0.1389, aux.acc_seg: 69.9665, loss: 0.4374 +2022-06-19 06:02:42,353 - mmseg - INFO - Iter [62950/160000] lr: 1.868e-05, eta: 7:27:33, time: 0.276, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3115, decode.acc_seg: 70.2120, aux.loss_ce: 0.1437, aux.acc_seg: 69.1381, loss: 0.4551 +2022-06-19 06:02:55,866 - mmseg - INFO - Saving checkpoint at 63000 iterations +2022-06-19 06:02:58,830 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 06:02:58,831 - mmseg - INFO - Iter [63000/160000] lr: 1.867e-05, eta: 7:27:23, time: 0.330, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2975, decode.acc_seg: 71.0578, aux.loss_ce: 0.1361, aux.acc_seg: 70.0167, loss: 0.4336 +2022-06-19 06:03:12,280 - mmseg - INFO - Iter [63050/160000] lr: 1.866e-05, eta: 7:27:08, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3229, decode.acc_seg: 70.9823, aux.loss_ce: 0.1472, aux.acc_seg: 69.9432, loss: 0.4701 +2022-06-19 06:03:25,949 - mmseg - INFO - Iter [63100/160000] lr: 1.865e-05, eta: 7:26:54, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2942, decode.acc_seg: 71.7599, aux.loss_ce: 0.1334, aux.acc_seg: 70.7598, loss: 0.4276 +2022-06-19 06:03:39,100 - mmseg - INFO - Iter [63150/160000] lr: 1.864e-05, eta: 7:26:39, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2885, decode.acc_seg: 70.8114, aux.loss_ce: 0.1308, aux.acc_seg: 70.0269, loss: 0.4193 +2022-06-19 06:03:54,952 - mmseg - INFO - Iter [63200/160000] lr: 1.863e-05, eta: 7:26:29, time: 0.317, data_time: 0.050, memory: 56924, decode.loss_ce: 0.2782, decode.acc_seg: 72.8107, aux.loss_ce: 0.1266, aux.acc_seg: 71.8438, loss: 0.4048 +2022-06-19 06:04:08,325 - mmseg - INFO - Iter [63250/160000] lr: 1.862e-05, eta: 7:26:14, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2735, decode.acc_seg: 72.4350, aux.loss_ce: 0.1256, aux.acc_seg: 71.4768, loss: 0.3990 +2022-06-19 06:04:21,849 - mmseg - INFO - Iter [63300/160000] lr: 1.862e-05, eta: 7:26:00, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3005, decode.acc_seg: 72.2217, aux.loss_ce: 0.1364, aux.acc_seg: 71.0930, loss: 0.4369 +2022-06-19 06:04:35,014 - mmseg - INFO - Iter [63350/160000] lr: 1.861e-05, eta: 7:25:45, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3098, decode.acc_seg: 70.7713, aux.loss_ce: 0.1398, aux.acc_seg: 69.7714, loss: 0.4496 +2022-06-19 06:04:48,508 - mmseg - INFO - Iter [63400/160000] lr: 1.860e-05, eta: 7:25:31, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3110, decode.acc_seg: 71.1415, aux.loss_ce: 0.1426, aux.acc_seg: 70.1100, loss: 0.4536 +2022-06-19 06:05:01,773 - mmseg - INFO - Iter [63450/160000] lr: 1.859e-05, eta: 7:25:16, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3028, decode.acc_seg: 70.4866, aux.loss_ce: 0.1368, aux.acc_seg: 69.6609, loss: 0.4396 +2022-06-19 06:05:15,599 - mmseg - INFO - Iter [63500/160000] lr: 1.858e-05, eta: 7:25:02, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2961, decode.acc_seg: 71.1124, aux.loss_ce: 0.1348, aux.acc_seg: 70.1671, loss: 0.4309 +2022-06-19 06:05:29,033 - mmseg - INFO - Iter [63550/160000] lr: 1.857e-05, eta: 7:24:48, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3016, decode.acc_seg: 72.1177, aux.loss_ce: 0.1358, aux.acc_seg: 71.1621, loss: 0.4374 +2022-06-19 06:05:42,206 - mmseg - INFO - Iter [63600/160000] lr: 1.856e-05, eta: 7:24:33, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2960, decode.acc_seg: 72.0192, aux.loss_ce: 0.1341, aux.acc_seg: 70.9579, loss: 0.4301 +2022-06-19 06:05:55,683 - mmseg - INFO - Iter [63650/160000] lr: 1.855e-05, eta: 7:24:18, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3086, decode.acc_seg: 69.7362, aux.loss_ce: 0.1402, aux.acc_seg: 68.7108, loss: 0.4488 +2022-06-19 06:06:09,036 - mmseg - INFO - Iter [63700/160000] lr: 1.854e-05, eta: 7:24:04, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3006, decode.acc_seg: 71.8225, aux.loss_ce: 0.1412, aux.acc_seg: 70.5621, loss: 0.4418 +2022-06-19 06:06:22,390 - mmseg - INFO - Iter [63750/160000] lr: 1.853e-05, eta: 7:23:49, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2997, decode.acc_seg: 70.6192, aux.loss_ce: 0.1353, aux.acc_seg: 69.7422, loss: 0.4350 +2022-06-19 06:06:35,884 - mmseg - INFO - Iter [63800/160000] lr: 1.852e-05, eta: 7:23:35, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3103, decode.acc_seg: 72.0258, aux.loss_ce: 0.1412, aux.acc_seg: 71.0106, loss: 0.4515 +2022-06-19 06:06:49,475 - mmseg - INFO - Iter [63850/160000] lr: 1.851e-05, eta: 7:23:21, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3223, decode.acc_seg: 70.7110, aux.loss_ce: 0.1474, aux.acc_seg: 69.5800, loss: 0.4697 +2022-06-19 06:07:02,819 - mmseg - INFO - Iter [63900/160000] lr: 1.850e-05, eta: 7:23:06, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2856, decode.acc_seg: 71.9035, aux.loss_ce: 0.1316, aux.acc_seg: 70.7344, loss: 0.4172 +2022-06-19 06:07:16,620 - mmseg - INFO - Iter [63950/160000] lr: 1.849e-05, eta: 7:22:52, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2954, decode.acc_seg: 72.3091, aux.loss_ce: 0.1356, aux.acc_seg: 71.2414, loss: 0.4310 +2022-06-19 06:07:30,141 - mmseg - INFO - Saving checkpoint at 64000 iterations +2022-06-19 06:07:33,068 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 06:07:33,069 - mmseg - INFO - Iter [64000/160000] lr: 1.848e-05, eta: 7:22:42, time: 0.329, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2914, decode.acc_seg: 70.9378, aux.loss_ce: 0.1317, aux.acc_seg: 70.0071, loss: 0.4231 +2022-06-19 06:07:54,940 - mmseg - INFO - per class results: +2022-06-19 06:07:54,949 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 76.74 | 87.94 | +| building | 81.52 | 93.0 | +| sky | 94.32 | 97.57 | +| floor | 81.15 | 89.79 | +| tree | 72.95 | 84.97 | +| ceiling | 83.96 | 91.12 | +| road | 82.17 | 88.41 | +| bed | 86.08 | 94.44 | +| windowpane | 61.46 | 78.66 | +| grass | 65.39 | 80.96 | +| cabinet | 61.67 | 73.76 | +| sidewalk | 62.31 | 79.36 | +| person | 79.58 | 92.63 | +| earth | 28.76 | 37.3 | +| door | 47.28 | 65.13 | +| table | 57.47 | 76.09 | +| mountain | 57.71 | 73.2 | +| plant | 52.19 | 64.51 | +| curtain | 74.12 | 85.61 | +| chair | 54.72 | 70.16 | +| car | 83.74 | 93.36 | +| water | 56.56 | 68.9 | +| painting | 71.63 | 88.28 | +| sofa | 63.02 | 77.27 | +| shelf | 43.75 | 62.94 | +| house | 40.82 | 57.33 | +| sea | 60.32 | 80.32 | +| mirror | 65.97 | 75.78 | +| rug | 64.54 | 75.93 | +| field | 28.97 | 50.07 | +| armchair | 39.55 | 59.58 | +| seat | 60.42 | 78.44 | +| fence | 45.32 | 59.49 | +| desk | 46.62 | 66.69 | +| rock | 42.07 | 74.76 | +| wardrobe | 55.96 | 62.87 | +| lamp | 59.71 | 71.54 | +| bathtub | 73.49 | 84.3 | +| railing | 32.98 | 42.83 | +| cushion | 56.73 | 70.98 | +| base | 26.66 | 37.06 | +| box | 20.86 | 27.32 | +| column | 41.72 | 54.52 | +| signboard | 35.11 | 46.36 | +| chest of drawers | 42.48 | 56.56 | +| counter | 26.47 | 32.23 | +| sand | 42.55 | 76.0 | +| sink | 67.23 | 73.74 | +| skyscraper | 46.46 | 52.29 | +| fireplace | 75.35 | 92.59 | +| refrigerator | 67.97 | 81.19 | +| grandstand | 52.52 | 65.49 | +| path | 19.97 | 29.33 | +| stairs | 26.38 | 32.1 | +| runway | 67.24 | 90.03 | +| case | 48.0 | 63.19 | +| pool table | 91.52 | 96.48 | +| pillow | 55.72 | 65.68 | +| screen door | 66.22 | 77.87 | +| stairway | 29.12 | 48.19 | +| river | 13.08 | 35.98 | +| bridge | 57.39 | 64.03 | +| bookcase | 42.6 | 60.08 | +| blind | 29.13 | 30.67 | +| coffee table | 58.68 | 82.33 | +| toilet | 83.34 | 90.76 | +| flower | 37.64 | 53.76 | +| book | 46.16 | 71.39 | +| hill | 9.51 | 19.4 | +| bench | 46.02 | 55.49 | +| countertop | 55.87 | 76.24 | +| stove | 65.79 | 77.09 | +| palm | 51.91 | 74.6 | +| kitchen island | 31.85 | 56.4 | +| computer | 65.6 | 81.32 | +| swivel chair | 43.11 | 60.84 | +| boat | 46.15 | 55.81 | +| bar | 43.17 | 63.88 | +| arcade machine | 61.25 | 66.03 | +| hovel | 32.56 | 35.74 | +| bus | 85.87 | 94.68 | +| towel | 58.37 | 84.5 | +| light | 52.0 | 64.84 | +| truck | 23.41 | 31.63 | +| tower | 45.51 | 71.68 | +| chandelier | 64.94 | 81.49 | +| awning | 23.28 | 28.98 | +| streetlight | 21.99 | 28.01 | +| booth | 58.78 | 63.14 | +| television receiver | 64.4 | 78.24 | +| airplane | 51.93 | 64.41 | +| dirt track | 4.69 | 9.84 | +| apparel | 29.94 | 45.32 | +| pole | 18.88 | 25.72 | +| land | 1.69 | 4.89 | +| bannister | 11.26 | 14.75 | +| escalator | 48.76 | 73.1 | +| ottoman | 41.12 | 54.73 | +| bottle | 34.16 | 43.74 | +| buffet | 32.61 | 35.69 | +| poster | 21.1 | 25.55 | +| stage | 12.97 | 21.04 | +| van | 38.02 | 50.08 | +| ship | 52.03 | 76.67 | +| fountain | 20.02 | 22.27 | +| conveyer belt | 78.61 | 90.37 | +| canopy | 18.52 | 19.3 | +| washer | 77.14 | 78.57 | +| plaything | 20.67 | 28.79 | +| swimming pool | 69.98 | 79.33 | +| stool | 36.0 | 44.12 | +| barrel | 13.85 | 15.12 | +| basket | 30.12 | 39.86 | +| waterfall | 58.57 | 81.54 | +| tent | 95.09 | 98.09 | +| bag | 8.69 | 9.82 | +| minibike | 66.06 | 75.47 | +| cradle | 66.45 | 83.4 | +| oven | 27.54 | 70.5 | +| ball | 39.36 | 49.71 | +| food | 22.23 | 26.65 | +| step | 9.21 | 10.7 | +| tank | 42.94 | 46.65 | +| trade name | 21.21 | 22.79 | +| microwave | 49.65 | 54.21 | +| pot | 41.63 | 47.93 | +| animal | 57.85 | 60.77 | +| bicycle | 54.25 | 73.86 | +| lake | 57.38 | 61.68 | +| dishwasher | 58.69 | 68.82 | +| screen | 66.1 | 89.35 | +| blanket | 9.31 | 10.15 | +| sculpture | 53.4 | 80.76 | +| hood | 60.65 | 72.27 | +| sconce | 39.13 | 50.61 | +| vase | 33.84 | 52.24 | +| traffic light | 30.42 | 46.59 | +| tray | 4.03 | 5.33 | +| ashcan | 39.49 | 53.13 | +| fan | 56.39 | 71.41 | +| pier | 27.31 | 40.02 | +| crt screen | 1.35 | 4.49 | +| plate | 44.05 | 69.46 | +| monitor | 7.66 | 9.85 | +| bulletin board | 17.33 | 20.34 | +| shower | 0.0 | 0.0 | +| radiator | 59.22 | 67.98 | +| glass | 7.97 | 8.54 | +| clock | 33.63 | 40.48 | +| flag | 33.71 | 37.08 | ++---------------------+-------+-------+ +2022-06-19 06:07:54,949 - mmseg - INFO - Summary: +2022-06-19 06:07:54,949 - mmseg - INFO - ++------+-------+-------+ +| aAcc | mIoU | mAcc | ++------+-------+-------+ +| 82.2 | 46.59 | 58.53 | ++------+-------+-------+ +2022-06-19 06:07:54,951 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_deit_adapter_base_512_160k_ade20k/best_mIoU_iter_48000.pth was removed +2022-06-19 06:07:57,745 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_64000.pth. +2022-06-19 06:07:57,746 - mmseg - INFO - Best mIoU is 0.4659 at 64000 iter. +2022-06-19 06:07:57,754 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 06:07:57,755 - mmseg - INFO - Iter(val) [250] aAcc: 0.8220, mIoU: 0.4659, mAcc: 0.5853, IoU.wall: 0.7674, IoU.building: 0.8152, IoU.sky: 0.9432, IoU.floor: 0.8115, IoU.tree: 0.7295, IoU.ceiling: 0.8396, IoU.road: 0.8217, IoU.bed : 0.8608, IoU.windowpane: 0.6146, IoU.grass: 0.6539, IoU.cabinet: 0.6167, IoU.sidewalk: 0.6231, IoU.person: 0.7958, IoU.earth: 0.2876, IoU.door: 0.4728, IoU.table: 0.5747, IoU.mountain: 0.5771, IoU.plant: 0.5219, IoU.curtain: 0.7412, IoU.chair: 0.5472, IoU.car: 0.8374, IoU.water: 0.5656, IoU.painting: 0.7163, IoU.sofa: 0.6302, IoU.shelf: 0.4375, IoU.house: 0.4082, IoU.sea: 0.6032, IoU.mirror: 0.6597, IoU.rug: 0.6454, IoU.field: 0.2897, IoU.armchair: 0.3955, IoU.seat: 0.6042, IoU.fence: 0.4532, IoU.desk: 0.4662, IoU.rock: 0.4207, IoU.wardrobe: 0.5596, IoU.lamp: 0.5971, IoU.bathtub: 0.7349, IoU.railing: 0.3298, IoU.cushion: 0.5673, IoU.base: 0.2666, IoU.box: 0.2086, IoU.column: 0.4172, IoU.signboard: 0.3511, IoU.chest of drawers: 0.4248, IoU.counter: 0.2647, IoU.sand: 0.4255, IoU.sink: 0.6723, IoU.skyscraper: 0.4646, IoU.fireplace: 0.7535, IoU.refrigerator: 0.6797, IoU.grandstand: 0.5252, IoU.path: 0.1997, IoU.stairs: 0.2638, IoU.runway: 0.6724, IoU.case: 0.4800, IoU.pool table: 0.9152, IoU.pillow: 0.5572, IoU.screen door: 0.6622, IoU.stairway: 0.2912, IoU.river: 0.1308, IoU.bridge: 0.5739, IoU.bookcase: 0.4260, IoU.blind: 0.2913, IoU.coffee table: 0.5868, IoU.toilet: 0.8334, IoU.flower: 0.3764, IoU.book: 0.4616, IoU.hill: 0.0951, IoU.bench: 0.4602, IoU.countertop: 0.5587, IoU.stove: 0.6579, IoU.palm: 0.5191, IoU.kitchen island: 0.3185, IoU.computer: 0.6560, IoU.swivel chair: 0.4311, IoU.boat: 0.4615, IoU.bar: 0.4317, IoU.arcade machine: 0.6125, IoU.hovel: 0.3256, IoU.bus: 0.8587, IoU.towel: 0.5837, IoU.light: 0.5200, IoU.truck: 0.2341, IoU.tower: 0.4551, IoU.chandelier: 0.6494, IoU.awning: 0.2328, IoU.streetlight: 0.2199, IoU.booth: 0.5878, IoU.television receiver: 0.6440, IoU.airplane: 0.5193, IoU.dirt track: 0.0469, IoU.apparel: 0.2994, IoU.pole: 0.1888, IoU.land: 0.0169, IoU.bannister: 0.1126, IoU.escalator: 0.4876, IoU.ottoman: 0.4112, IoU.bottle: 0.3416, IoU.buffet: 0.3261, IoU.poster: 0.2110, IoU.stage: 0.1297, IoU.van: 0.3802, IoU.ship: 0.5203, IoU.fountain: 0.2002, IoU.conveyer belt: 0.7861, IoU.canopy: 0.1852, IoU.washer: 0.7714, IoU.plaything: 0.2067, IoU.swimming pool: 0.6998, IoU.stool: 0.3600, IoU.barrel: 0.1385, IoU.basket: 0.3012, IoU.waterfall: 0.5857, IoU.tent: 0.9509, IoU.bag: 0.0869, IoU.minibike: 0.6606, IoU.cradle: 0.6645, IoU.oven: 0.2754, IoU.ball: 0.3936, IoU.food: 0.2223, IoU.step: 0.0921, IoU.tank: 0.4294, IoU.trade name: 0.2121, IoU.microwave: 0.4965, IoU.pot: 0.4163, IoU.animal: 0.5785, IoU.bicycle: 0.5425, IoU.lake: 0.5738, IoU.dishwasher: 0.5869, IoU.screen: 0.6610, IoU.blanket: 0.0931, IoU.sculpture: 0.5340, IoU.hood: 0.6065, IoU.sconce: 0.3913, IoU.vase: 0.3384, IoU.traffic light: 0.3042, IoU.tray: 0.0403, IoU.ashcan: 0.3949, IoU.fan: 0.5639, IoU.pier: 0.2731, IoU.crt screen: 0.0135, IoU.plate: 0.4405, IoU.monitor: 0.0766, IoU.bulletin board: 0.1733, IoU.shower: 0.0000, IoU.radiator: 0.5922, IoU.glass: 0.0797, IoU.clock: 0.3363, IoU.flag: 0.3371, Acc.wall: 0.8794, Acc.building: 0.9300, Acc.sky: 0.9757, Acc.floor: 0.8979, Acc.tree: 0.8497, Acc.ceiling: 0.9112, Acc.road: 0.8841, Acc.bed : 0.9444, Acc.windowpane: 0.7866, Acc.grass: 0.8096, Acc.cabinet: 0.7376, Acc.sidewalk: 0.7936, Acc.person: 0.9263, Acc.earth: 0.3730, Acc.door: 0.6513, Acc.table: 0.7609, Acc.mountain: 0.7320, Acc.plant: 0.6451, Acc.curtain: 0.8561, Acc.chair: 0.7016, Acc.car: 0.9336, Acc.water: 0.6890, Acc.painting: 0.8828, Acc.sofa: 0.7727, Acc.shelf: 0.6294, Acc.house: 0.5733, Acc.sea: 0.8032, Acc.mirror: 0.7578, Acc.rug: 0.7593, Acc.field: 0.5007, Acc.armchair: 0.5958, Acc.seat: 0.7844, Acc.fence: 0.5949, Acc.desk: 0.6669, Acc.rock: 0.7476, Acc.wardrobe: 0.6287, Acc.lamp: 0.7154, Acc.bathtub: 0.8430, Acc.railing: 0.4283, Acc.cushion: 0.7098, Acc.base: 0.3706, Acc.box: 0.2732, Acc.column: 0.5452, Acc.signboard: 0.4636, Acc.chest of drawers: 0.5656, Acc.counter: 0.3223, Acc.sand: 0.7600, Acc.sink: 0.7374, Acc.skyscraper: 0.5229, Acc.fireplace: 0.9259, Acc.refrigerator: 0.8119, Acc.grandstand: 0.6549, Acc.path: 0.2933, Acc.stairs: 0.3210, Acc.runway: 0.9003, Acc.case: 0.6319, Acc.pool table: 0.9648, Acc.pillow: 0.6568, Acc.screen door: 0.7787, Acc.stairway: 0.4819, Acc.river: 0.3598, Acc.bridge: 0.6403, Acc.bookcase: 0.6008, Acc.blind: 0.3067, Acc.coffee table: 0.8233, Acc.toilet: 0.9076, Acc.flower: 0.5376, Acc.book: 0.7139, Acc.hill: 0.1940, Acc.bench: 0.5549, Acc.countertop: 0.7624, Acc.stove: 0.7709, Acc.palm: 0.7460, Acc.kitchen island: 0.5640, Acc.computer: 0.8132, Acc.swivel chair: 0.6084, Acc.boat: 0.5581, Acc.bar: 0.6388, Acc.arcade machine: 0.6603, Acc.hovel: 0.3574, Acc.bus: 0.9468, Acc.towel: 0.8450, Acc.light: 0.6484, Acc.truck: 0.3163, Acc.tower: 0.7168, Acc.chandelier: 0.8149, Acc.awning: 0.2898, Acc.streetlight: 0.2801, Acc.booth: 0.6314, Acc.television receiver: 0.7824, Acc.airplane: 0.6441, Acc.dirt track: 0.0984, Acc.apparel: 0.4532, Acc.pole: 0.2572, Acc.land: 0.0489, Acc.bannister: 0.1475, Acc.escalator: 0.7310, Acc.ottoman: 0.5473, Acc.bottle: 0.4374, Acc.buffet: 0.3569, Acc.poster: 0.2555, Acc.stage: 0.2104, Acc.van: 0.5008, Acc.ship: 0.7667, Acc.fountain: 0.2227, Acc.conveyer belt: 0.9037, Acc.canopy: 0.1930, Acc.washer: 0.7857, Acc.plaything: 0.2879, Acc.swimming pool: 0.7933, Acc.stool: 0.4412, Acc.barrel: 0.1512, Acc.basket: 0.3986, Acc.waterfall: 0.8154, Acc.tent: 0.9809, Acc.bag: 0.0982, Acc.minibike: 0.7547, Acc.cradle: 0.8340, Acc.oven: 0.7050, Acc.ball: 0.4971, Acc.food: 0.2665, Acc.step: 0.1070, Acc.tank: 0.4665, Acc.trade name: 0.2279, Acc.microwave: 0.5421, Acc.pot: 0.4793, Acc.animal: 0.6077, Acc.bicycle: 0.7386, Acc.lake: 0.6168, Acc.dishwasher: 0.6882, Acc.screen: 0.8935, Acc.blanket: 0.1015, Acc.sculpture: 0.8076, Acc.hood: 0.7227, Acc.sconce: 0.5061, Acc.vase: 0.5224, Acc.traffic light: 0.4659, Acc.tray: 0.0533, Acc.ashcan: 0.5313, Acc.fan: 0.7141, Acc.pier: 0.4002, Acc.crt screen: 0.0449, Acc.plate: 0.6946, Acc.monitor: 0.0985, Acc.bulletin board: 0.2034, Acc.shower: 0.0000, Acc.radiator: 0.6798, Acc.glass: 0.0854, Acc.clock: 0.4048, Acc.flag: 0.3708 +2022-06-19 06:08:11,432 - mmseg - INFO - Iter [64050/160000] lr: 1.847e-05, eta: 7:23:05, time: 0.767, data_time: 0.497, memory: 56924, decode.loss_ce: 0.3056, decode.acc_seg: 69.6793, aux.loss_ce: 0.1403, aux.acc_seg: 68.5807, loss: 0.4459 +2022-06-19 06:08:25,070 - mmseg - INFO - Iter [64100/160000] lr: 1.846e-05, eta: 7:22:51, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3069, decode.acc_seg: 70.1749, aux.loss_ce: 0.1389, aux.acc_seg: 69.2113, loss: 0.4459 +2022-06-19 06:08:38,243 - mmseg - INFO - Iter [64150/160000] lr: 1.845e-05, eta: 7:22:36, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2997, decode.acc_seg: 71.4434, aux.loss_ce: 0.1347, aux.acc_seg: 70.5482, loss: 0.4345 +2022-06-19 06:08:51,675 - mmseg - INFO - Iter [64200/160000] lr: 1.844e-05, eta: 7:22:22, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3113, decode.acc_seg: 70.8380, aux.loss_ce: 0.1426, aux.acc_seg: 69.7402, loss: 0.4539 +2022-06-19 06:09:04,979 - mmseg - INFO - Iter [64250/160000] lr: 1.843e-05, eta: 7:22:07, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3047, decode.acc_seg: 68.5046, aux.loss_ce: 0.1382, aux.acc_seg: 67.4334, loss: 0.4428 +2022-06-19 06:09:18,393 - mmseg - INFO - Iter [64300/160000] lr: 1.842e-05, eta: 7:21:53, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3068, decode.acc_seg: 71.2966, aux.loss_ce: 0.1385, aux.acc_seg: 70.2892, loss: 0.4452 +2022-06-19 06:09:31,773 - mmseg - INFO - Iter [64350/160000] lr: 1.841e-05, eta: 7:21:38, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3072, decode.acc_seg: 72.0002, aux.loss_ce: 0.1413, aux.acc_seg: 70.9310, loss: 0.4485 +2022-06-19 06:09:45,107 - mmseg - INFO - Iter [64400/160000] lr: 1.840e-05, eta: 7:21:23, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3099, decode.acc_seg: 70.3318, aux.loss_ce: 0.1383, aux.acc_seg: 69.5023, loss: 0.4483 +2022-06-19 06:10:01,041 - mmseg - INFO - Iter [64450/160000] lr: 1.839e-05, eta: 7:21:13, time: 0.319, data_time: 0.050, memory: 56924, decode.loss_ce: 0.3008, decode.acc_seg: 71.1792, aux.loss_ce: 0.1375, aux.acc_seg: 70.0457, loss: 0.4383 +2022-06-19 06:10:14,359 - mmseg - INFO - Iter [64500/160000] lr: 1.838e-05, eta: 7:20:58, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3180, decode.acc_seg: 71.7208, aux.loss_ce: 0.1428, aux.acc_seg: 70.7885, loss: 0.4607 +2022-06-19 06:10:28,039 - mmseg - INFO - Iter [64550/160000] lr: 1.837e-05, eta: 7:20:44, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2886, decode.acc_seg: 69.9077, aux.loss_ce: 0.1339, aux.acc_seg: 68.8046, loss: 0.4225 +2022-06-19 06:10:41,328 - mmseg - INFO - Iter [64600/160000] lr: 1.837e-05, eta: 7:20:29, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2824, decode.acc_seg: 71.6770, aux.loss_ce: 0.1315, aux.acc_seg: 70.4376, loss: 0.4140 +2022-06-19 06:10:54,935 - mmseg - INFO - Iter [64650/160000] lr: 1.836e-05, eta: 7:20:15, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2903, decode.acc_seg: 70.7360, aux.loss_ce: 0.1333, aux.acc_seg: 69.5800, loss: 0.4236 +2022-06-19 06:11:08,248 - mmseg - INFO - Iter [64700/160000] lr: 1.835e-05, eta: 7:20:00, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2960, decode.acc_seg: 71.1891, aux.loss_ce: 0.1358, aux.acc_seg: 70.2318, loss: 0.4318 +2022-06-19 06:11:21,682 - mmseg - INFO - Iter [64750/160000] lr: 1.834e-05, eta: 7:19:46, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2742, decode.acc_seg: 72.7705, aux.loss_ce: 0.1276, aux.acc_seg: 71.6949, loss: 0.4018 +2022-06-19 06:11:34,993 - mmseg - INFO - Iter [64800/160000] lr: 1.833e-05, eta: 7:19:31, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2802, decode.acc_seg: 71.1413, aux.loss_ce: 0.1284, aux.acc_seg: 70.2036, loss: 0.4086 +2022-06-19 06:11:48,347 - mmseg - INFO - Iter [64850/160000] lr: 1.832e-05, eta: 7:19:17, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2813, decode.acc_seg: 70.7996, aux.loss_ce: 0.1294, aux.acc_seg: 69.7913, loss: 0.4106 +2022-06-19 06:12:01,674 - mmseg - INFO - Iter [64900/160000] lr: 1.831e-05, eta: 7:19:02, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2793, decode.acc_seg: 72.7044, aux.loss_ce: 0.1258, aux.acc_seg: 71.9180, loss: 0.4050 +2022-06-19 06:12:15,138 - mmseg - INFO - Iter [64950/160000] lr: 1.830e-05, eta: 7:18:48, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3051, decode.acc_seg: 70.2365, aux.loss_ce: 0.1396, aux.acc_seg: 69.2672, loss: 0.4448 +2022-06-19 06:12:28,552 - mmseg - INFO - Saving checkpoint at 65000 iterations +2022-06-19 06:12:31,531 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 06:12:31,531 - mmseg - INFO - Iter [65000/160000] lr: 1.829e-05, eta: 7:18:38, time: 0.328, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2832, decode.acc_seg: 72.9523, aux.loss_ce: 0.1304, aux.acc_seg: 71.8272, loss: 0.4136 +2022-06-19 06:12:44,787 - mmseg - INFO - Iter [65050/160000] lr: 1.828e-05, eta: 7:18:23, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2762, decode.acc_seg: 71.8444, aux.loss_ce: 0.1274, aux.acc_seg: 70.7877, loss: 0.4036 +2022-06-19 06:12:58,131 - mmseg - INFO - Iter [65100/160000] lr: 1.827e-05, eta: 7:18:08, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2914, decode.acc_seg: 70.2360, aux.loss_ce: 0.1332, aux.acc_seg: 69.2921, loss: 0.4245 +2022-06-19 06:13:11,471 - mmseg - INFO - Iter [65150/160000] lr: 1.826e-05, eta: 7:17:54, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3065, decode.acc_seg: 71.3025, aux.loss_ce: 0.1381, aux.acc_seg: 70.5387, loss: 0.4446 +2022-06-19 06:13:25,144 - mmseg - INFO - Iter [65200/160000] lr: 1.825e-05, eta: 7:17:39, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2850, decode.acc_seg: 72.4215, aux.loss_ce: 0.1303, aux.acc_seg: 71.3765, loss: 0.4154 +2022-06-19 06:13:38,358 - mmseg - INFO - Iter [65250/160000] lr: 1.824e-05, eta: 7:17:25, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2944, decode.acc_seg: 71.6553, aux.loss_ce: 0.1348, aux.acc_seg: 70.6632, loss: 0.4292 +2022-06-19 06:13:51,855 - mmseg - INFO - Iter [65300/160000] lr: 1.823e-05, eta: 7:17:10, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2961, decode.acc_seg: 72.2746, aux.loss_ce: 0.1364, aux.acc_seg: 71.2163, loss: 0.4325 +2022-06-19 06:14:05,140 - mmseg - INFO - Iter [65350/160000] lr: 1.822e-05, eta: 7:16:56, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3052, decode.acc_seg: 71.3291, aux.loss_ce: 0.1412, aux.acc_seg: 69.9652, loss: 0.4464 +2022-06-19 06:14:18,633 - mmseg - INFO - Iter [65400/160000] lr: 1.821e-05, eta: 7:16:41, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2984, decode.acc_seg: 72.5462, aux.loss_ce: 0.1343, aux.acc_seg: 71.5817, loss: 0.4326 +2022-06-19 06:14:32,007 - mmseg - INFO - Iter [65450/160000] lr: 1.820e-05, eta: 7:16:27, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3010, decode.acc_seg: 72.1956, aux.loss_ce: 0.1375, aux.acc_seg: 71.0751, loss: 0.4385 +2022-06-19 06:14:45,494 - mmseg - INFO - Iter [65500/160000] lr: 1.819e-05, eta: 7:16:12, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3001, decode.acc_seg: 71.4465, aux.loss_ce: 0.1367, aux.acc_seg: 70.3630, loss: 0.4368 +2022-06-19 06:14:58,732 - mmseg - INFO - Iter [65550/160000] lr: 1.818e-05, eta: 7:15:58, time: 0.265, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2881, decode.acc_seg: 73.3992, aux.loss_ce: 0.1318, aux.acc_seg: 72.3171, loss: 0.4199 +2022-06-19 06:15:12,061 - mmseg - INFO - Iter [65600/160000] lr: 1.817e-05, eta: 7:15:43, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2804, decode.acc_seg: 70.9360, aux.loss_ce: 0.1310, aux.acc_seg: 69.7095, loss: 0.4114 +2022-06-19 06:15:25,720 - mmseg - INFO - Iter [65650/160000] lr: 1.816e-05, eta: 7:15:29, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3059, decode.acc_seg: 71.2100, aux.loss_ce: 0.1381, aux.acc_seg: 70.3862, loss: 0.4440 +2022-06-19 06:15:41,442 - mmseg - INFO - Iter [65700/160000] lr: 1.815e-05, eta: 7:15:18, time: 0.315, data_time: 0.048, memory: 56924, decode.loss_ce: 0.2941, decode.acc_seg: 71.9722, aux.loss_ce: 0.1338, aux.acc_seg: 71.0022, loss: 0.4279 +2022-06-19 06:15:55,177 - mmseg - INFO - Iter [65750/160000] lr: 1.814e-05, eta: 7:15:04, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3181, decode.acc_seg: 71.1038, aux.loss_ce: 0.1457, aux.acc_seg: 69.9972, loss: 0.4638 +2022-06-19 06:16:08,547 - mmseg - INFO - Iter [65800/160000] lr: 1.813e-05, eta: 7:14:49, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2834, decode.acc_seg: 72.2692, aux.loss_ce: 0.1299, aux.acc_seg: 71.2450, loss: 0.4133 +2022-06-19 06:16:22,312 - mmseg - INFO - Iter [65850/160000] lr: 1.812e-05, eta: 7:14:35, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2972, decode.acc_seg: 71.7219, aux.loss_ce: 0.1365, aux.acc_seg: 70.6433, loss: 0.4337 +2022-06-19 06:16:35,848 - mmseg - INFO - Iter [65900/160000] lr: 1.811e-05, eta: 7:14:21, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2997, decode.acc_seg: 69.7267, aux.loss_ce: 0.1371, aux.acc_seg: 68.7615, loss: 0.4369 +2022-06-19 06:16:49,385 - mmseg - INFO - Iter [65950/160000] lr: 1.811e-05, eta: 7:14:07, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2851, decode.acc_seg: 72.7329, aux.loss_ce: 0.1305, aux.acc_seg: 71.5716, loss: 0.4156 +2022-06-19 06:17:02,882 - mmseg - INFO - Saving checkpoint at 66000 iterations +2022-06-19 06:17:05,794 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 06:17:05,794 - mmseg - INFO - Iter [66000/160000] lr: 1.810e-05, eta: 7:13:57, time: 0.328, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2849, decode.acc_seg: 70.3979, aux.loss_ce: 0.1319, aux.acc_seg: 69.3952, loss: 0.4168 +2022-06-19 06:17:19,282 - mmseg - INFO - Iter [66050/160000] lr: 1.809e-05, eta: 7:13:42, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2865, decode.acc_seg: 72.2540, aux.loss_ce: 0.1317, aux.acc_seg: 71.1960, loss: 0.4182 +2022-06-19 06:17:32,740 - mmseg - INFO - Iter [66100/160000] lr: 1.808e-05, eta: 7:13:28, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2979, decode.acc_seg: 71.5835, aux.loss_ce: 0.1352, aux.acc_seg: 70.7146, loss: 0.4331 +2022-06-19 06:17:46,139 - mmseg - INFO - Iter [66150/160000] lr: 1.807e-05, eta: 7:13:13, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2853, decode.acc_seg: 70.9243, aux.loss_ce: 0.1310, aux.acc_seg: 69.7727, loss: 0.4163 +2022-06-19 06:17:59,596 - mmseg - INFO - Iter [66200/160000] lr: 1.806e-05, eta: 7:12:59, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2906, decode.acc_seg: 71.9099, aux.loss_ce: 0.1317, aux.acc_seg: 70.9008, loss: 0.4223 +2022-06-19 06:18:13,221 - mmseg - INFO - Iter [66250/160000] lr: 1.805e-05, eta: 7:12:45, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2912, decode.acc_seg: 71.8492, aux.loss_ce: 0.1326, aux.acc_seg: 70.7815, loss: 0.4238 +2022-06-19 06:18:26,769 - mmseg - INFO - Iter [66300/160000] lr: 1.804e-05, eta: 7:12:30, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3015, decode.acc_seg: 70.1003, aux.loss_ce: 0.1376, aux.acc_seg: 69.1697, loss: 0.4392 +2022-06-19 06:18:40,301 - mmseg - INFO - Iter [66350/160000] lr: 1.803e-05, eta: 7:12:16, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2932, decode.acc_seg: 71.7761, aux.loss_ce: 0.1332, aux.acc_seg: 70.9064, loss: 0.4264 +2022-06-19 06:18:53,663 - mmseg - INFO - Iter [66400/160000] lr: 1.802e-05, eta: 7:12:02, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2897, decode.acc_seg: 71.6108, aux.loss_ce: 0.1330, aux.acc_seg: 70.4892, loss: 0.4227 +2022-06-19 06:19:07,262 - mmseg - INFO - Iter [66450/160000] lr: 1.801e-05, eta: 7:11:47, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2796, decode.acc_seg: 71.2582, aux.loss_ce: 0.1283, aux.acc_seg: 70.2852, loss: 0.4078 +2022-06-19 06:19:20,648 - mmseg - INFO - Iter [66500/160000] lr: 1.800e-05, eta: 7:11:33, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2948, decode.acc_seg: 72.8618, aux.loss_ce: 0.1363, aux.acc_seg: 71.9310, loss: 0.4311 +2022-06-19 06:19:34,398 - mmseg - INFO - Iter [66550/160000] lr: 1.799e-05, eta: 7:11:19, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2763, decode.acc_seg: 71.2737, aux.loss_ce: 0.1280, aux.acc_seg: 70.0783, loss: 0.4043 +2022-06-19 06:19:47,938 - mmseg - INFO - Iter [66600/160000] lr: 1.798e-05, eta: 7:11:05, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2745, decode.acc_seg: 72.0295, aux.loss_ce: 0.1250, aux.acc_seg: 71.1636, loss: 0.3995 +2022-06-19 06:20:01,605 - mmseg - INFO - Iter [66650/160000] lr: 1.797e-05, eta: 7:10:51, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2835, decode.acc_seg: 72.5197, aux.loss_ce: 0.1298, aux.acc_seg: 71.5974, loss: 0.4134 +2022-06-19 06:20:14,958 - mmseg - INFO - Iter [66700/160000] lr: 1.796e-05, eta: 7:10:36, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2712, decode.acc_seg: 71.7889, aux.loss_ce: 0.1238, aux.acc_seg: 70.8588, loss: 0.3950 +2022-06-19 06:20:28,518 - mmseg - INFO - Iter [66750/160000] lr: 1.795e-05, eta: 7:10:22, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2954, decode.acc_seg: 70.9922, aux.loss_ce: 0.1334, aux.acc_seg: 69.8856, loss: 0.4288 +2022-06-19 06:20:41,774 - mmseg - INFO - Iter [66800/160000] lr: 1.794e-05, eta: 7:10:07, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2923, decode.acc_seg: 71.4352, aux.loss_ce: 0.1331, aux.acc_seg: 70.4463, loss: 0.4254 +2022-06-19 06:20:55,202 - mmseg - INFO - Iter [66850/160000] lr: 1.793e-05, eta: 7:09:53, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3109, decode.acc_seg: 70.2797, aux.loss_ce: 0.1441, aux.acc_seg: 69.1981, loss: 0.4549 +2022-06-19 06:21:08,644 - mmseg - INFO - Iter [66900/160000] lr: 1.792e-05, eta: 7:09:38, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2975, decode.acc_seg: 71.7494, aux.loss_ce: 0.1369, aux.acc_seg: 70.6625, loss: 0.4344 +2022-06-19 06:21:24,458 - mmseg - INFO - Iter [66950/160000] lr: 1.791e-05, eta: 7:09:27, time: 0.316, data_time: 0.054, memory: 56924, decode.loss_ce: 0.2963, decode.acc_seg: 71.5461, aux.loss_ce: 0.1361, aux.acc_seg: 70.4660, loss: 0.4324 +2022-06-19 06:21:37,751 - mmseg - INFO - Saving checkpoint at 67000 iterations +2022-06-19 06:21:40,660 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 06:21:40,661 - mmseg - INFO - Iter [67000/160000] lr: 1.790e-05, eta: 7:09:17, time: 0.324, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2921, decode.acc_seg: 72.1534, aux.loss_ce: 0.1342, aux.acc_seg: 71.1441, loss: 0.4263 +2022-06-19 06:21:54,128 - mmseg - INFO - Iter [67050/160000] lr: 1.789e-05, eta: 7:09:02, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2838, decode.acc_seg: 71.0937, aux.loss_ce: 0.1281, aux.acc_seg: 70.3381, loss: 0.4119 +2022-06-19 06:22:07,528 - mmseg - INFO - Iter [67100/160000] lr: 1.788e-05, eta: 7:08:48, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2684, decode.acc_seg: 69.9538, aux.loss_ce: 0.1239, aux.acc_seg: 68.8827, loss: 0.3923 +2022-06-19 06:22:20,818 - mmseg - INFO - Iter [67150/160000] lr: 1.787e-05, eta: 7:08:33, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2842, decode.acc_seg: 72.6258, aux.loss_ce: 0.1304, aux.acc_seg: 71.5759, loss: 0.4146 +2022-06-19 06:22:34,112 - mmseg - INFO - Iter [67200/160000] lr: 1.786e-05, eta: 7:08:18, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2733, decode.acc_seg: 71.4718, aux.loss_ce: 0.1250, aux.acc_seg: 70.5553, loss: 0.3983 +2022-06-19 06:22:47,291 - mmseg - INFO - Iter [67250/160000] lr: 1.785e-05, eta: 7:08:04, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3099, decode.acc_seg: 71.2307, aux.loss_ce: 0.1414, aux.acc_seg: 70.3243, loss: 0.4513 +2022-06-19 06:23:00,871 - mmseg - INFO - Iter [67300/160000] lr: 1.785e-05, eta: 7:07:50, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2974, decode.acc_seg: 71.9127, aux.loss_ce: 0.1363, aux.acc_seg: 70.8106, loss: 0.4336 +2022-06-19 06:23:14,295 - mmseg - INFO - Iter [67350/160000] lr: 1.784e-05, eta: 7:07:35, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2883, decode.acc_seg: 71.3962, aux.loss_ce: 0.1309, aux.acc_seg: 70.3852, loss: 0.4192 +2022-06-19 06:23:27,906 - mmseg - INFO - Iter [67400/160000] lr: 1.783e-05, eta: 7:07:21, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2838, decode.acc_seg: 70.8955, aux.loss_ce: 0.1309, aux.acc_seg: 69.8814, loss: 0.4147 +2022-06-19 06:23:41,361 - mmseg - INFO - Iter [67450/160000] lr: 1.782e-05, eta: 7:07:07, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2827, decode.acc_seg: 71.9186, aux.loss_ce: 0.1311, aux.acc_seg: 70.7361, loss: 0.4138 +2022-06-19 06:23:54,867 - mmseg - INFO - Iter [67500/160000] lr: 1.781e-05, eta: 7:06:52, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2930, decode.acc_seg: 73.0279, aux.loss_ce: 0.1342, aux.acc_seg: 71.8994, loss: 0.4272 +2022-06-19 06:24:08,449 - mmseg - INFO - Iter [67550/160000] lr: 1.780e-05, eta: 7:06:38, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3078, decode.acc_seg: 72.7552, aux.loss_ce: 0.1404, aux.acc_seg: 71.7516, loss: 0.4482 +2022-06-19 06:24:21,936 - mmseg - INFO - Iter [67600/160000] lr: 1.779e-05, eta: 7:06:24, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2970, decode.acc_seg: 71.5508, aux.loss_ce: 0.1339, aux.acc_seg: 70.6508, loss: 0.4308 +2022-06-19 06:24:35,420 - mmseg - INFO - Iter [67650/160000] lr: 1.778e-05, eta: 7:06:09, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2810, decode.acc_seg: 71.1967, aux.loss_ce: 0.1298, aux.acc_seg: 70.1660, loss: 0.4108 +2022-06-19 06:24:48,765 - mmseg - INFO - Iter [67700/160000] lr: 1.777e-05, eta: 7:05:55, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2988, decode.acc_seg: 70.4596, aux.loss_ce: 0.1356, aux.acc_seg: 69.6931, loss: 0.4345 +2022-06-19 06:25:02,330 - mmseg - INFO - Iter [67750/160000] lr: 1.776e-05, eta: 7:05:41, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2813, decode.acc_seg: 70.7338, aux.loss_ce: 0.1307, aux.acc_seg: 69.6945, loss: 0.4120 +2022-06-19 06:25:15,700 - mmseg - INFO - Iter [67800/160000] lr: 1.775e-05, eta: 7:05:26, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2838, decode.acc_seg: 70.7503, aux.loss_ce: 0.1289, aux.acc_seg: 69.9654, loss: 0.4127 +2022-06-19 06:25:29,248 - mmseg - INFO - Iter [67850/160000] lr: 1.774e-05, eta: 7:05:12, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2747, decode.acc_seg: 71.5374, aux.loss_ce: 0.1270, aux.acc_seg: 70.4706, loss: 0.4017 +2022-06-19 06:25:42,495 - mmseg - INFO - Iter [67900/160000] lr: 1.773e-05, eta: 7:04:57, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2856, decode.acc_seg: 71.8210, aux.loss_ce: 0.1308, aux.acc_seg: 70.8302, loss: 0.4164 +2022-06-19 06:25:56,114 - mmseg - INFO - Iter [67950/160000] lr: 1.772e-05, eta: 7:04:43, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2864, decode.acc_seg: 71.5020, aux.loss_ce: 0.1317, aux.acc_seg: 70.5589, loss: 0.4181 +2022-06-19 06:26:09,415 - mmseg - INFO - Saving checkpoint at 68000 iterations +2022-06-19 06:26:12,305 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 06:26:12,305 - mmseg - INFO - Iter [68000/160000] lr: 1.771e-05, eta: 7:04:32, time: 0.324, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2762, decode.acc_seg: 72.0489, aux.loss_ce: 0.1267, aux.acc_seg: 71.0437, loss: 0.4029 +2022-06-19 06:26:25,841 - mmseg - INFO - Iter [68050/160000] lr: 1.770e-05, eta: 7:04:18, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2946, decode.acc_seg: 71.7106, aux.loss_ce: 0.1356, aux.acc_seg: 70.6475, loss: 0.4302 +2022-06-19 06:26:39,204 - mmseg - INFO - Iter [68100/160000] lr: 1.769e-05, eta: 7:04:04, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2821, decode.acc_seg: 71.4310, aux.loss_ce: 0.1291, aux.acc_seg: 70.5040, loss: 0.4113 +2022-06-19 06:26:52,504 - mmseg - INFO - Iter [68150/160000] lr: 1.768e-05, eta: 7:03:49, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2813, decode.acc_seg: 70.8694, aux.loss_ce: 0.1305, aux.acc_seg: 69.6671, loss: 0.4118 +2022-06-19 06:27:05,703 - mmseg - INFO - Iter [68200/160000] lr: 1.767e-05, eta: 7:03:34, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2883, decode.acc_seg: 71.6094, aux.loss_ce: 0.1305, aux.acc_seg: 70.5419, loss: 0.4188 +2022-06-19 06:27:21,578 - mmseg - INFO - Iter [68250/160000] lr: 1.766e-05, eta: 7:03:23, time: 0.318, data_time: 0.050, memory: 56924, decode.loss_ce: 0.2991, decode.acc_seg: 71.6781, aux.loss_ce: 0.1375, aux.acc_seg: 70.5594, loss: 0.4366 +2022-06-19 06:27:35,128 - mmseg - INFO - Iter [68300/160000] lr: 1.765e-05, eta: 7:03:09, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2828, decode.acc_seg: 72.0138, aux.loss_ce: 0.1297, aux.acc_seg: 71.0681, loss: 0.4124 +2022-06-19 06:27:48,655 - mmseg - INFO - Iter [68350/160000] lr: 1.764e-05, eta: 7:02:55, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2816, decode.acc_seg: 72.1048, aux.loss_ce: 0.1289, aux.acc_seg: 71.1456, loss: 0.4105 +2022-06-19 06:28:01,672 - mmseg - INFO - Iter [68400/160000] lr: 1.763e-05, eta: 7:02:40, time: 0.260, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2878, decode.acc_seg: 72.0058, aux.loss_ce: 0.1308, aux.acc_seg: 71.0209, loss: 0.4186 +2022-06-19 06:28:15,075 - mmseg - INFO - Iter [68450/160000] lr: 1.762e-05, eta: 7:02:25, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2843, decode.acc_seg: 70.5369, aux.loss_ce: 0.1305, aux.acc_seg: 69.6053, loss: 0.4148 +2022-06-19 06:28:28,339 - mmseg - INFO - Iter [68500/160000] lr: 1.761e-05, eta: 7:02:11, time: 0.265, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2950, decode.acc_seg: 71.9922, aux.loss_ce: 0.1357, aux.acc_seg: 70.8336, loss: 0.4307 +2022-06-19 06:28:41,759 - mmseg - INFO - Iter [68550/160000] lr: 1.760e-05, eta: 7:01:56, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2990, decode.acc_seg: 70.2103, aux.loss_ce: 0.1353, aux.acc_seg: 69.1275, loss: 0.4343 +2022-06-19 06:28:55,354 - mmseg - INFO - Iter [68600/160000] lr: 1.759e-05, eta: 7:01:42, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2790, decode.acc_seg: 69.8343, aux.loss_ce: 0.1286, aux.acc_seg: 68.6300, loss: 0.4077 +2022-06-19 06:29:08,778 - mmseg - INFO - Iter [68650/160000] lr: 1.759e-05, eta: 7:01:28, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2744, decode.acc_seg: 71.7251, aux.loss_ce: 0.1260, aux.acc_seg: 70.8352, loss: 0.4004 +2022-06-19 06:29:22,102 - mmseg - INFO - Iter [68700/160000] lr: 1.758e-05, eta: 7:01:13, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2910, decode.acc_seg: 71.2647, aux.loss_ce: 0.1351, aux.acc_seg: 70.0374, loss: 0.4260 +2022-06-19 06:29:35,334 - mmseg - INFO - Iter [68750/160000] lr: 1.757e-05, eta: 7:00:59, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2780, decode.acc_seg: 71.6632, aux.loss_ce: 0.1269, aux.acc_seg: 70.7470, loss: 0.4049 +2022-06-19 06:29:48,885 - mmseg - INFO - Iter [68800/160000] lr: 1.756e-05, eta: 7:00:44, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2883, decode.acc_seg: 71.7190, aux.loss_ce: 0.1346, aux.acc_seg: 70.8052, loss: 0.4229 +2022-06-19 06:30:02,265 - mmseg - INFO - Iter [68850/160000] lr: 1.755e-05, eta: 7:00:30, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2920, decode.acc_seg: 70.9177, aux.loss_ce: 0.1340, aux.acc_seg: 69.8445, loss: 0.4259 +2022-06-19 06:30:15,537 - mmseg - INFO - Iter [68900/160000] lr: 1.754e-05, eta: 7:00:15, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2736, decode.acc_seg: 72.2441, aux.loss_ce: 0.1255, aux.acc_seg: 71.1813, loss: 0.3991 +2022-06-19 06:30:29,038 - mmseg - INFO - Iter [68950/160000] lr: 1.753e-05, eta: 7:00:01, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.3009, decode.acc_seg: 72.8159, aux.loss_ce: 0.1382, aux.acc_seg: 71.7164, loss: 0.4391 +2022-06-19 06:30:42,427 - mmseg - INFO - Saving checkpoint at 69000 iterations +2022-06-19 06:30:45,419 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 06:30:45,419 - mmseg - INFO - Iter [69000/160000] lr: 1.752e-05, eta: 6:59:51, time: 0.328, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2769, decode.acc_seg: 72.2567, aux.loss_ce: 0.1281, aux.acc_seg: 71.3402, loss: 0.4049 +2022-06-19 06:30:58,586 - mmseg - INFO - Iter [69050/160000] lr: 1.751e-05, eta: 6:59:36, time: 0.263, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2713, decode.acc_seg: 72.0769, aux.loss_ce: 0.1263, aux.acc_seg: 71.0229, loss: 0.3976 +2022-06-19 06:31:11,910 - mmseg - INFO - Iter [69100/160000] lr: 1.750e-05, eta: 6:59:21, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2828, decode.acc_seg: 72.5705, aux.loss_ce: 0.1272, aux.acc_seg: 71.6741, loss: 0.4100 +2022-06-19 06:31:25,282 - mmseg - INFO - Iter [69150/160000] lr: 1.749e-05, eta: 6:59:07, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2988, decode.acc_seg: 71.7225, aux.loss_ce: 0.1361, aux.acc_seg: 70.6619, loss: 0.4349 +2022-06-19 06:31:38,667 - mmseg - INFO - Iter [69200/160000] lr: 1.748e-05, eta: 6:58:52, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2871, decode.acc_seg: 72.6193, aux.loss_ce: 0.1303, aux.acc_seg: 71.6542, loss: 0.4174 +2022-06-19 06:31:52,509 - mmseg - INFO - Iter [69250/160000] lr: 1.747e-05, eta: 6:58:39, time: 0.277, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2787, decode.acc_seg: 71.3185, aux.loss_ce: 0.1264, aux.acc_seg: 70.3990, loss: 0.4051 +2022-06-19 06:32:05,931 - mmseg - INFO - Iter [69300/160000] lr: 1.746e-05, eta: 6:58:24, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2701, decode.acc_seg: 72.4903, aux.loss_ce: 0.1238, aux.acc_seg: 71.5145, loss: 0.3940 +2022-06-19 06:32:19,131 - mmseg - INFO - Iter [69350/160000] lr: 1.745e-05, eta: 6:58:10, time: 0.264, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2852, decode.acc_seg: 72.3985, aux.loss_ce: 0.1301, aux.acc_seg: 71.3620, loss: 0.4153 +2022-06-19 06:32:32,546 - mmseg - INFO - Iter [69400/160000] lr: 1.744e-05, eta: 6:57:55, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3019, decode.acc_seg: 72.0632, aux.loss_ce: 0.1381, aux.acc_seg: 70.9520, loss: 0.4400 +2022-06-19 06:32:46,265 - mmseg - INFO - Iter [69450/160000] lr: 1.743e-05, eta: 6:57:41, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2853, decode.acc_seg: 71.7299, aux.loss_ce: 0.1293, aux.acc_seg: 70.8283, loss: 0.4145 +2022-06-19 06:33:01,884 - mmseg - INFO - Iter [69500/160000] lr: 1.742e-05, eta: 6:57:30, time: 0.312, data_time: 0.047, memory: 56924, decode.loss_ce: 0.2671, decode.acc_seg: 70.9236, aux.loss_ce: 0.1230, aux.acc_seg: 69.9690, loss: 0.3901 +2022-06-19 06:33:15,464 - mmseg - INFO - Iter [69550/160000] lr: 1.741e-05, eta: 6:57:15, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2609, decode.acc_seg: 72.2219, aux.loss_ce: 0.1209, aux.acc_seg: 71.2436, loss: 0.3818 +2022-06-19 06:33:28,850 - mmseg - INFO - Iter [69600/160000] lr: 1.740e-05, eta: 6:57:01, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2726, decode.acc_seg: 71.8970, aux.loss_ce: 0.1255, aux.acc_seg: 70.9768, loss: 0.3981 +2022-06-19 06:33:42,033 - mmseg - INFO - Iter [69650/160000] lr: 1.739e-05, eta: 6:56:46, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2711, decode.acc_seg: 72.1578, aux.loss_ce: 0.1267, aux.acc_seg: 70.9784, loss: 0.3978 +2022-06-19 06:33:55,373 - mmseg - INFO - Iter [69700/160000] lr: 1.738e-05, eta: 6:56:32, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3105, decode.acc_seg: 71.7115, aux.loss_ce: 0.1405, aux.acc_seg: 70.7395, loss: 0.4511 +2022-06-19 06:34:08,792 - mmseg - INFO - Iter [69750/160000] lr: 1.737e-05, eta: 6:56:17, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2952, decode.acc_seg: 71.3389, aux.loss_ce: 0.1353, aux.acc_seg: 70.3109, loss: 0.4305 +2022-06-19 06:34:22,290 - mmseg - INFO - Iter [69800/160000] lr: 1.736e-05, eta: 6:56:03, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2794, decode.acc_seg: 71.0972, aux.loss_ce: 0.1279, aux.acc_seg: 70.3310, loss: 0.4073 +2022-06-19 06:34:35,925 - mmseg - INFO - Iter [69850/160000] lr: 1.735e-05, eta: 6:55:49, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2865, decode.acc_seg: 71.5353, aux.loss_ce: 0.1304, aux.acc_seg: 70.5738, loss: 0.4169 +2022-06-19 06:34:49,226 - mmseg - INFO - Iter [69900/160000] lr: 1.734e-05, eta: 6:55:35, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2891, decode.acc_seg: 70.7079, aux.loss_ce: 0.1320, aux.acc_seg: 69.7178, loss: 0.4211 +2022-06-19 06:35:02,694 - mmseg - INFO - Iter [69950/160000] lr: 1.734e-05, eta: 6:55:20, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2882, decode.acc_seg: 71.2089, aux.loss_ce: 0.1315, aux.acc_seg: 70.3623, loss: 0.4197 +2022-06-19 06:35:16,188 - mmseg - INFO - Saving checkpoint at 70000 iterations +2022-06-19 06:35:19,089 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 06:35:19,089 - mmseg - INFO - Iter [70000/160000] lr: 1.733e-05, eta: 6:55:10, time: 0.328, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2931, decode.acc_seg: 72.4685, aux.loss_ce: 0.1312, aux.acc_seg: 71.4972, loss: 0.4243 +2022-06-19 06:35:32,408 - mmseg - INFO - Iter [70050/160000] lr: 1.732e-05, eta: 6:54:55, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2735, decode.acc_seg: 72.7618, aux.loss_ce: 0.1271, aux.acc_seg: 71.7034, loss: 0.4006 +2022-06-19 06:35:45,708 - mmseg - INFO - Iter [70100/160000] lr: 1.731e-05, eta: 6:54:41, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2698, decode.acc_seg: 71.4336, aux.loss_ce: 0.1249, aux.acc_seg: 70.1867, loss: 0.3947 +2022-06-19 06:35:59,137 - mmseg - INFO - Iter [70150/160000] lr: 1.730e-05, eta: 6:54:26, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2650, decode.acc_seg: 72.3458, aux.loss_ce: 0.1214, aux.acc_seg: 71.4378, loss: 0.3863 +2022-06-19 06:36:12,789 - mmseg - INFO - Iter [70200/160000] lr: 1.729e-05, eta: 6:54:12, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2748, decode.acc_seg: 71.8459, aux.loss_ce: 0.1262, aux.acc_seg: 71.0223, loss: 0.4011 +2022-06-19 06:36:26,101 - mmseg - INFO - Iter [70250/160000] lr: 1.728e-05, eta: 6:53:58, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3131, decode.acc_seg: 71.4690, aux.loss_ce: 0.1435, aux.acc_seg: 70.4656, loss: 0.4565 +2022-06-19 06:36:39,635 - mmseg - INFO - Iter [70300/160000] lr: 1.727e-05, eta: 6:53:43, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3036, decode.acc_seg: 71.4094, aux.loss_ce: 0.1387, aux.acc_seg: 70.3860, loss: 0.4423 +2022-06-19 06:36:53,056 - mmseg - INFO - Iter [70350/160000] lr: 1.726e-05, eta: 6:53:29, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2813, decode.acc_seg: 71.7300, aux.loss_ce: 0.1301, aux.acc_seg: 70.5703, loss: 0.4114 +2022-06-19 06:37:06,476 - mmseg - INFO - Iter [70400/160000] lr: 1.725e-05, eta: 6:53:15, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3013, decode.acc_seg: 71.8680, aux.loss_ce: 0.1351, aux.acc_seg: 70.8817, loss: 0.4364 +2022-06-19 06:37:20,062 - mmseg - INFO - Iter [70450/160000] lr: 1.724e-05, eta: 6:53:01, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2628, decode.acc_seg: 71.9800, aux.loss_ce: 0.1210, aux.acc_seg: 71.0371, loss: 0.3838 +2022-06-19 06:37:33,565 - mmseg - INFO - Iter [70500/160000] lr: 1.723e-05, eta: 6:52:46, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2858, decode.acc_seg: 70.0186, aux.loss_ce: 0.1325, aux.acc_seg: 68.7453, loss: 0.4183 +2022-06-19 06:37:47,067 - mmseg - INFO - Iter [70550/160000] lr: 1.722e-05, eta: 6:52:32, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2815, decode.acc_seg: 72.3642, aux.loss_ce: 0.1293, aux.acc_seg: 71.3534, loss: 0.4108 +2022-06-19 06:38:00,545 - mmseg - INFO - Iter [70600/160000] lr: 1.721e-05, eta: 6:52:18, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2734, decode.acc_seg: 72.7905, aux.loss_ce: 0.1245, aux.acc_seg: 71.8455, loss: 0.3979 +2022-06-19 06:38:13,850 - mmseg - INFO - Iter [70650/160000] lr: 1.720e-05, eta: 6:52:03, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2735, decode.acc_seg: 71.4114, aux.loss_ce: 0.1238, aux.acc_seg: 70.6530, loss: 0.3973 +2022-06-19 06:38:27,327 - mmseg - INFO - Iter [70700/160000] lr: 1.719e-05, eta: 6:51:49, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3003, decode.acc_seg: 73.2458, aux.loss_ce: 0.1387, aux.acc_seg: 72.1632, loss: 0.4390 +2022-06-19 06:38:43,217 - mmseg - INFO - Iter [70750/160000] lr: 1.718e-05, eta: 6:51:38, time: 0.318, data_time: 0.048, memory: 56924, decode.loss_ce: 0.2724, decode.acc_seg: 72.4557, aux.loss_ce: 0.1260, aux.acc_seg: 71.5787, loss: 0.3984 +2022-06-19 06:38:56,549 - mmseg - INFO - Iter [70800/160000] lr: 1.717e-05, eta: 6:51:23, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2662, decode.acc_seg: 71.9409, aux.loss_ce: 0.1246, aux.acc_seg: 70.7104, loss: 0.3909 +2022-06-19 06:39:09,951 - mmseg - INFO - Iter [70850/160000] lr: 1.716e-05, eta: 6:51:09, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2732, decode.acc_seg: 71.6008, aux.loss_ce: 0.1273, aux.acc_seg: 70.5556, loss: 0.4005 +2022-06-19 06:39:23,132 - mmseg - INFO - Iter [70900/160000] lr: 1.715e-05, eta: 6:50:54, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2591, decode.acc_seg: 72.1747, aux.loss_ce: 0.1195, aux.acc_seg: 71.0117, loss: 0.3786 +2022-06-19 06:39:36,435 - mmseg - INFO - Iter [70950/160000] lr: 1.714e-05, eta: 6:50:40, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2958, decode.acc_seg: 72.6117, aux.loss_ce: 0.1370, aux.acc_seg: 71.4011, loss: 0.4328 +2022-06-19 06:39:49,922 - mmseg - INFO - Saving checkpoint at 71000 iterations +2022-06-19 06:39:53,105 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 06:39:53,105 - mmseg - INFO - Iter [71000/160000] lr: 1.713e-05, eta: 6:50:29, time: 0.330, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2518, decode.acc_seg: 71.4417, aux.loss_ce: 0.1160, aux.acc_seg: 70.5664, loss: 0.3678 +2022-06-19 06:40:06,287 - mmseg - INFO - Iter [71050/160000] lr: 1.712e-05, eta: 6:50:15, time: 0.267, data_time: 0.007, memory: 56924, decode.loss_ce: 0.2557, decode.acc_seg: 71.6298, aux.loss_ce: 0.1182, aux.acc_seg: 70.6403, loss: 0.3739 +2022-06-19 06:40:19,828 - mmseg - INFO - Iter [71100/160000] lr: 1.711e-05, eta: 6:50:01, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2678, decode.acc_seg: 71.7813, aux.loss_ce: 0.1247, aux.acc_seg: 70.7687, loss: 0.3925 +2022-06-19 06:40:33,484 - mmseg - INFO - Iter [71150/160000] lr: 1.710e-05, eta: 6:49:46, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2634, decode.acc_seg: 72.1466, aux.loss_ce: 0.1219, aux.acc_seg: 71.1697, loss: 0.3853 +2022-06-19 06:40:47,106 - mmseg - INFO - Iter [71200/160000] lr: 1.709e-05, eta: 6:49:32, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2811, decode.acc_seg: 71.3219, aux.loss_ce: 0.1287, aux.acc_seg: 70.3925, loss: 0.4098 +2022-06-19 06:41:00,491 - mmseg - INFO - Iter [71250/160000] lr: 1.708e-05, eta: 6:49:18, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2858, decode.acc_seg: 72.7436, aux.loss_ce: 0.1332, aux.acc_seg: 71.4918, loss: 0.4189 +2022-06-19 06:41:13,981 - mmseg - INFO - Iter [71300/160000] lr: 1.708e-05, eta: 6:49:04, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2672, decode.acc_seg: 71.3386, aux.loss_ce: 0.1231, aux.acc_seg: 70.3311, loss: 0.3903 +2022-06-19 06:41:27,292 - mmseg - INFO - Iter [71350/160000] lr: 1.707e-05, eta: 6:48:49, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2776, decode.acc_seg: 70.7332, aux.loss_ce: 0.1283, aux.acc_seg: 69.6272, loss: 0.4058 +2022-06-19 06:41:40,484 - mmseg - INFO - Iter [71400/160000] lr: 1.706e-05, eta: 6:48:35, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2761, decode.acc_seg: 71.9980, aux.loss_ce: 0.1265, aux.acc_seg: 71.0340, loss: 0.4026 +2022-06-19 06:41:53,897 - mmseg - INFO - Iter [71450/160000] lr: 1.705e-05, eta: 6:48:20, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2802, decode.acc_seg: 71.1634, aux.loss_ce: 0.1277, aux.acc_seg: 70.2107, loss: 0.4079 +2022-06-19 06:42:07,318 - mmseg - INFO - Iter [71500/160000] lr: 1.704e-05, eta: 6:48:06, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2765, decode.acc_seg: 72.4423, aux.loss_ce: 0.1260, aux.acc_seg: 71.5471, loss: 0.4025 +2022-06-19 06:42:20,710 - mmseg - INFO - Iter [71550/160000] lr: 1.703e-05, eta: 6:47:52, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2881, decode.acc_seg: 72.4996, aux.loss_ce: 0.1318, aux.acc_seg: 71.4275, loss: 0.4199 +2022-06-19 06:42:34,205 - mmseg - INFO - Iter [71600/160000] lr: 1.702e-05, eta: 6:47:37, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2632, decode.acc_seg: 72.0456, aux.loss_ce: 0.1203, aux.acc_seg: 71.1024, loss: 0.3835 +2022-06-19 06:42:47,771 - mmseg - INFO - Iter [71650/160000] lr: 1.701e-05, eta: 6:47:23, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2910, decode.acc_seg: 72.3648, aux.loss_ce: 0.1336, aux.acc_seg: 71.2255, loss: 0.4245 +2022-06-19 06:43:00,881 - mmseg - INFO - Iter [71700/160000] lr: 1.700e-05, eta: 6:47:08, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2705, decode.acc_seg: 71.7551, aux.loss_ce: 0.1258, aux.acc_seg: 70.6986, loss: 0.3964 +2022-06-19 06:43:14,497 - mmseg - INFO - Iter [71750/160000] lr: 1.699e-05, eta: 6:46:54, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2807, decode.acc_seg: 72.6589, aux.loss_ce: 0.1278, aux.acc_seg: 71.7485, loss: 0.4085 +2022-06-19 06:43:27,630 - mmseg - INFO - Iter [71800/160000] lr: 1.698e-05, eta: 6:46:40, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2912, decode.acc_seg: 71.3112, aux.loss_ce: 0.1345, aux.acc_seg: 70.2032, loss: 0.4257 +2022-06-19 06:43:41,108 - mmseg - INFO - Iter [71850/160000] lr: 1.697e-05, eta: 6:46:25, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2829, decode.acc_seg: 72.9601, aux.loss_ce: 0.1296, aux.acc_seg: 72.0751, loss: 0.4125 +2022-06-19 06:43:54,410 - mmseg - INFO - Iter [71900/160000] lr: 1.696e-05, eta: 6:46:11, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2788, decode.acc_seg: 72.8165, aux.loss_ce: 0.1296, aux.acc_seg: 71.6407, loss: 0.4084 +2022-06-19 06:44:08,055 - mmseg - INFO - Iter [71950/160000] lr: 1.695e-05, eta: 6:45:57, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2866, decode.acc_seg: 71.2586, aux.loss_ce: 0.1301, aux.acc_seg: 70.3420, loss: 0.4167 +2022-06-19 06:44:23,784 - mmseg - INFO - Saving checkpoint at 72000 iterations +2022-06-19 06:44:26,694 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 06:44:26,695 - mmseg - INFO - Iter [72000/160000] lr: 1.694e-05, eta: 6:45:49, time: 0.373, data_time: 0.049, memory: 56924, decode.loss_ce: 0.2716, decode.acc_seg: 72.5479, aux.loss_ce: 0.1254, aux.acc_seg: 71.4784, loss: 0.3970 +2022-06-19 06:44:40,350 - mmseg - INFO - Iter [72050/160000] lr: 1.693e-05, eta: 6:45:35, time: 0.273, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2794, decode.acc_seg: 70.6088, aux.loss_ce: 0.1288, aux.acc_seg: 69.5930, loss: 0.4081 +2022-06-19 06:44:53,799 - mmseg - INFO - Iter [72100/160000] lr: 1.692e-05, eta: 6:45:20, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2783, decode.acc_seg: 71.8748, aux.loss_ce: 0.1266, aux.acc_seg: 70.9268, loss: 0.4050 +2022-06-19 06:45:07,297 - mmseg - INFO - Iter [72150/160000] lr: 1.691e-05, eta: 6:45:06, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2756, decode.acc_seg: 70.9632, aux.loss_ce: 0.1282, aux.acc_seg: 69.8433, loss: 0.4037 +2022-06-19 06:45:20,674 - mmseg - INFO - Iter [72200/160000] lr: 1.690e-05, eta: 6:44:52, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2781, decode.acc_seg: 71.0939, aux.loss_ce: 0.1271, aux.acc_seg: 70.2192, loss: 0.4052 +2022-06-19 06:45:33,858 - mmseg - INFO - Iter [72250/160000] lr: 1.689e-05, eta: 6:44:37, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2741, decode.acc_seg: 71.6268, aux.loss_ce: 0.1265, aux.acc_seg: 70.6102, loss: 0.4006 +2022-06-19 06:45:47,238 - mmseg - INFO - Iter [72300/160000] lr: 1.688e-05, eta: 6:44:23, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2710, decode.acc_seg: 72.7737, aux.loss_ce: 0.1266, aux.acc_seg: 71.6920, loss: 0.3975 +2022-06-19 06:46:00,709 - mmseg - INFO - Iter [72350/160000] lr: 1.687e-05, eta: 6:44:09, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2722, decode.acc_seg: 71.1458, aux.loss_ce: 0.1247, aux.acc_seg: 70.3096, loss: 0.3968 +2022-06-19 06:46:14,059 - mmseg - INFO - Iter [72400/160000] lr: 1.686e-05, eta: 6:43:54, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2564, decode.acc_seg: 72.3040, aux.loss_ce: 0.1196, aux.acc_seg: 71.1127, loss: 0.3760 +2022-06-19 06:46:27,652 - mmseg - INFO - Iter [72450/160000] lr: 1.685e-05, eta: 6:43:40, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2831, decode.acc_seg: 70.0143, aux.loss_ce: 0.1305, aux.acc_seg: 68.9319, loss: 0.4137 +2022-06-19 06:46:40,979 - mmseg - INFO - Iter [72500/160000] lr: 1.684e-05, eta: 6:43:26, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2609, decode.acc_seg: 72.1015, aux.loss_ce: 0.1217, aux.acc_seg: 71.0232, loss: 0.3826 +2022-06-19 06:46:54,475 - mmseg - INFO - Iter [72550/160000] lr: 1.683e-05, eta: 6:43:11, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2569, decode.acc_seg: 72.8044, aux.loss_ce: 0.1187, aux.acc_seg: 71.7751, loss: 0.3756 +2022-06-19 06:47:07,923 - mmseg - INFO - Iter [72600/160000] lr: 1.682e-05, eta: 6:42:57, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2946, decode.acc_seg: 72.8124, aux.loss_ce: 0.1348, aux.acc_seg: 71.9431, loss: 0.4294 +2022-06-19 06:47:21,130 - mmseg - INFO - Iter [72650/160000] lr: 1.682e-05, eta: 6:42:42, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2511, decode.acc_seg: 73.3048, aux.loss_ce: 0.1193, aux.acc_seg: 72.0978, loss: 0.3704 +2022-06-19 06:47:34,384 - mmseg - INFO - Iter [72700/160000] lr: 1.681e-05, eta: 6:42:28, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2704, decode.acc_seg: 71.7361, aux.loss_ce: 0.1222, aux.acc_seg: 70.8758, loss: 0.3926 +2022-06-19 06:47:47,434 - mmseg - INFO - Iter [72750/160000] lr: 1.680e-05, eta: 6:42:13, time: 0.261, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2499, decode.acc_seg: 73.1746, aux.loss_ce: 0.1144, aux.acc_seg: 72.2987, loss: 0.3643 +2022-06-19 06:48:00,624 - mmseg - INFO - Iter [72800/160000] lr: 1.679e-05, eta: 6:41:59, time: 0.264, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2697, decode.acc_seg: 72.6690, aux.loss_ce: 0.1235, aux.acc_seg: 71.8202, loss: 0.3931 +2022-06-19 06:48:14,210 - mmseg - INFO - Iter [72850/160000] lr: 1.678e-05, eta: 6:41:44, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2597, decode.acc_seg: 71.7422, aux.loss_ce: 0.1200, aux.acc_seg: 70.7272, loss: 0.3796 +2022-06-19 06:48:27,771 - mmseg - INFO - Iter [72900/160000] lr: 1.677e-05, eta: 6:41:30, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2864, decode.acc_seg: 71.7772, aux.loss_ce: 0.1310, aux.acc_seg: 70.7378, loss: 0.4174 +2022-06-19 06:48:41,203 - mmseg - INFO - Iter [72950/160000] lr: 1.676e-05, eta: 6:41:16, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2688, decode.acc_seg: 72.3367, aux.loss_ce: 0.1251, aux.acc_seg: 71.2335, loss: 0.3940 +2022-06-19 06:48:54,815 - mmseg - INFO - Saving checkpoint at 73000 iterations +2022-06-19 06:48:57,761 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 06:48:57,761 - mmseg - INFO - Iter [73000/160000] lr: 1.675e-05, eta: 6:41:05, time: 0.331, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2912, decode.acc_seg: 72.2307, aux.loss_ce: 0.1350, aux.acc_seg: 71.0644, loss: 0.4263 +2022-06-19 06:49:11,113 - mmseg - INFO - Iter [73050/160000] lr: 1.674e-05, eta: 6:40:51, time: 0.267, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2755, decode.acc_seg: 70.8604, aux.loss_ce: 0.1256, aux.acc_seg: 69.9254, loss: 0.4011 +2022-06-19 06:49:24,719 - mmseg - INFO - Iter [73100/160000] lr: 1.673e-05, eta: 6:40:37, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2710, decode.acc_seg: 72.4494, aux.loss_ce: 0.1238, aux.acc_seg: 71.4187, loss: 0.3948 +2022-06-19 06:49:38,196 - mmseg - INFO - Iter [73150/160000] lr: 1.672e-05, eta: 6:40:23, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.3005, decode.acc_seg: 71.4957, aux.loss_ce: 0.1356, aux.acc_seg: 70.6386, loss: 0.4360 +2022-06-19 06:49:51,641 - mmseg - INFO - Iter [73200/160000] lr: 1.671e-05, eta: 6:40:08, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2885, decode.acc_seg: 72.7357, aux.loss_ce: 0.1305, aux.acc_seg: 71.8190, loss: 0.4190 +2022-06-19 06:50:05,188 - mmseg - INFO - Iter [73250/160000] lr: 1.670e-05, eta: 6:39:54, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2866, decode.acc_seg: 72.2804, aux.loss_ce: 0.1314, aux.acc_seg: 71.2356, loss: 0.4180 +2022-06-19 06:50:21,193 - mmseg - INFO - Iter [73300/160000] lr: 1.669e-05, eta: 6:39:43, time: 0.320, data_time: 0.050, memory: 56924, decode.loss_ce: 0.2702, decode.acc_seg: 73.4299, aux.loss_ce: 0.1238, aux.acc_seg: 72.4399, loss: 0.3940 +2022-06-19 06:50:34,422 - mmseg - INFO - Iter [73350/160000] lr: 1.668e-05, eta: 6:39:28, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2886, decode.acc_seg: 71.9299, aux.loss_ce: 0.1295, aux.acc_seg: 71.1490, loss: 0.4181 +2022-06-19 06:50:47,928 - mmseg - INFO - Iter [73400/160000] lr: 1.667e-05, eta: 6:39:14, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2601, decode.acc_seg: 73.2323, aux.loss_ce: 0.1215, aux.acc_seg: 72.1965, loss: 0.3816 +2022-06-19 06:51:01,399 - mmseg - INFO - Iter [73450/160000] lr: 1.666e-05, eta: 6:39:00, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2658, decode.acc_seg: 71.3116, aux.loss_ce: 0.1214, aux.acc_seg: 70.3815, loss: 0.3871 +2022-06-19 06:51:14,876 - mmseg - INFO - Iter [73500/160000] lr: 1.665e-05, eta: 6:38:46, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2705, decode.acc_seg: 72.0340, aux.loss_ce: 0.1245, aux.acc_seg: 70.8996, loss: 0.3950 +2022-06-19 06:51:28,288 - mmseg - INFO - Iter [73550/160000] lr: 1.664e-05, eta: 6:38:31, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2950, decode.acc_seg: 71.6424, aux.loss_ce: 0.1348, aux.acc_seg: 70.6265, loss: 0.4298 +2022-06-19 06:51:41,764 - mmseg - INFO - Iter [73600/160000] lr: 1.663e-05, eta: 6:38:17, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2675, decode.acc_seg: 73.0293, aux.loss_ce: 0.1242, aux.acc_seg: 72.0711, loss: 0.3916 +2022-06-19 06:51:55,279 - mmseg - INFO - Iter [73650/160000] lr: 1.662e-05, eta: 6:38:03, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2740, decode.acc_seg: 72.2209, aux.loss_ce: 0.1261, aux.acc_seg: 71.0890, loss: 0.4001 +2022-06-19 06:52:08,573 - mmseg - INFO - Iter [73700/160000] lr: 1.661e-05, eta: 6:37:48, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2735, decode.acc_seg: 71.1766, aux.loss_ce: 0.1253, aux.acc_seg: 70.2249, loss: 0.3989 +2022-06-19 06:52:22,073 - mmseg - INFO - Iter [73750/160000] lr: 1.660e-05, eta: 6:37:34, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2918, decode.acc_seg: 71.8267, aux.loss_ce: 0.1328, aux.acc_seg: 70.8527, loss: 0.4246 +2022-06-19 06:52:35,286 - mmseg - INFO - Iter [73800/160000] lr: 1.659e-05, eta: 6:37:20, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2756, decode.acc_seg: 71.8014, aux.loss_ce: 0.1257, aux.acc_seg: 70.8702, loss: 0.4013 +2022-06-19 06:52:48,545 - mmseg - INFO - Iter [73850/160000] lr: 1.658e-05, eta: 6:37:05, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2572, decode.acc_seg: 71.6553, aux.loss_ce: 0.1169, aux.acc_seg: 70.8122, loss: 0.3741 +2022-06-19 06:53:02,078 - mmseg - INFO - Iter [73900/160000] lr: 1.657e-05, eta: 6:36:51, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2683, decode.acc_seg: 72.2071, aux.loss_ce: 0.1242, aux.acc_seg: 71.2650, loss: 0.3925 +2022-06-19 06:53:15,226 - mmseg - INFO - Iter [73950/160000] lr: 1.657e-05, eta: 6:36:36, time: 0.264, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2875, decode.acc_seg: 72.5233, aux.loss_ce: 0.1308, aux.acc_seg: 71.5521, loss: 0.4183 +2022-06-19 06:53:28,725 - mmseg - INFO - Saving checkpoint at 74000 iterations +2022-06-19 06:53:31,640 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 06:53:31,641 - mmseg - INFO - Iter [74000/160000] lr: 1.656e-05, eta: 6:36:26, time: 0.329, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2664, decode.acc_seg: 72.0549, aux.loss_ce: 0.1211, aux.acc_seg: 71.1335, loss: 0.3875 +2022-06-19 06:53:45,022 - mmseg - INFO - Iter [74050/160000] lr: 1.655e-05, eta: 6:36:11, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2654, decode.acc_seg: 71.3958, aux.loss_ce: 0.1225, aux.acc_seg: 70.4789, loss: 0.3879 +2022-06-19 06:53:58,358 - mmseg - INFO - Iter [74100/160000] lr: 1.654e-05, eta: 6:35:57, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2715, decode.acc_seg: 70.8315, aux.loss_ce: 0.1232, aux.acc_seg: 69.8880, loss: 0.3947 +2022-06-19 06:54:11,858 - mmseg - INFO - Iter [74150/160000] lr: 1.653e-05, eta: 6:35:43, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2597, decode.acc_seg: 71.0829, aux.loss_ce: 0.1194, aux.acc_seg: 70.1765, loss: 0.3790 +2022-06-19 06:54:25,369 - mmseg - INFO - Iter [74200/160000] lr: 1.652e-05, eta: 6:35:28, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2638, decode.acc_seg: 72.8247, aux.loss_ce: 0.1202, aux.acc_seg: 71.9492, loss: 0.3840 +2022-06-19 06:54:38,857 - mmseg - INFO - Iter [74250/160000] lr: 1.651e-05, eta: 6:35:14, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2715, decode.acc_seg: 72.7573, aux.loss_ce: 0.1261, aux.acc_seg: 71.6937, loss: 0.3976 +2022-06-19 06:54:52,216 - mmseg - INFO - Iter [74300/160000] lr: 1.650e-05, eta: 6:35:00, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2766, decode.acc_seg: 71.4118, aux.loss_ce: 0.1260, aux.acc_seg: 70.4928, loss: 0.4025 +2022-06-19 06:55:05,771 - mmseg - INFO - Iter [74350/160000] lr: 1.649e-05, eta: 6:34:46, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2726, decode.acc_seg: 71.5934, aux.loss_ce: 0.1253, aux.acc_seg: 70.5557, loss: 0.3979 +2022-06-19 06:55:19,135 - mmseg - INFO - Iter [74400/160000] lr: 1.648e-05, eta: 6:34:31, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2689, decode.acc_seg: 70.8819, aux.loss_ce: 0.1245, aux.acc_seg: 69.8300, loss: 0.3934 +2022-06-19 06:55:32,418 - mmseg - INFO - Iter [74450/160000] lr: 1.647e-05, eta: 6:34:17, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2708, decode.acc_seg: 71.9531, aux.loss_ce: 0.1247, aux.acc_seg: 70.9425, loss: 0.3955 +2022-06-19 06:55:45,698 - mmseg - INFO - Iter [74500/160000] lr: 1.646e-05, eta: 6:34:02, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2915, decode.acc_seg: 73.0000, aux.loss_ce: 0.1318, aux.acc_seg: 72.1689, loss: 0.4233 +2022-06-19 06:56:01,210 - mmseg - INFO - Iter [74550/160000] lr: 1.645e-05, eta: 6:33:51, time: 0.310, data_time: 0.049, memory: 56924, decode.loss_ce: 0.2857, decode.acc_seg: 72.4646, aux.loss_ce: 0.1301, aux.acc_seg: 71.4199, loss: 0.4158 +2022-06-19 06:56:14,637 - mmseg - INFO - Iter [74600/160000] lr: 1.644e-05, eta: 6:33:36, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2725, decode.acc_seg: 72.2209, aux.loss_ce: 0.1257, aux.acc_seg: 71.2590, loss: 0.3982 +2022-06-19 06:56:28,217 - mmseg - INFO - Iter [74650/160000] lr: 1.643e-05, eta: 6:33:22, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2614, decode.acc_seg: 72.3468, aux.loss_ce: 0.1206, aux.acc_seg: 71.3056, loss: 0.3820 +2022-06-19 06:56:41,678 - mmseg - INFO - Iter [74700/160000] lr: 1.642e-05, eta: 6:33:08, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2752, decode.acc_seg: 72.9271, aux.loss_ce: 0.1262, aux.acc_seg: 71.9094, loss: 0.4013 +2022-06-19 06:56:55,255 - mmseg - INFO - Iter [74750/160000] lr: 1.641e-05, eta: 6:32:54, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2669, decode.acc_seg: 71.0887, aux.loss_ce: 0.1223, aux.acc_seg: 70.2383, loss: 0.3892 +2022-06-19 06:57:08,404 - mmseg - INFO - Iter [74800/160000] lr: 1.640e-05, eta: 6:32:39, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2762, decode.acc_seg: 72.3737, aux.loss_ce: 0.1255, aux.acc_seg: 71.4336, loss: 0.4017 +2022-06-19 06:57:21,772 - mmseg - INFO - Iter [74850/160000] lr: 1.639e-05, eta: 6:32:25, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2837, decode.acc_seg: 70.4551, aux.loss_ce: 0.1318, aux.acc_seg: 69.4025, loss: 0.4156 +2022-06-19 06:57:35,024 - mmseg - INFO - Iter [74900/160000] lr: 1.638e-05, eta: 6:32:10, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2558, decode.acc_seg: 72.8558, aux.loss_ce: 0.1190, aux.acc_seg: 71.8081, loss: 0.3749 +2022-06-19 06:57:48,437 - mmseg - INFO - Iter [74950/160000] lr: 1.637e-05, eta: 6:31:56, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2790, decode.acc_seg: 69.9263, aux.loss_ce: 0.1283, aux.acc_seg: 68.9645, loss: 0.4073 +2022-06-19 06:58:01,971 - mmseg - INFO - Saving checkpoint at 75000 iterations +2022-06-19 06:58:04,936 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 06:58:04,937 - mmseg - INFO - Iter [75000/160000] lr: 1.636e-05, eta: 6:31:45, time: 0.330, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2855, decode.acc_seg: 72.6423, aux.loss_ce: 0.1317, aux.acc_seg: 71.3344, loss: 0.4172 +2022-06-19 06:58:18,211 - mmseg - INFO - Iter [75050/160000] lr: 1.635e-05, eta: 6:31:31, time: 0.265, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2693, decode.acc_seg: 73.3516, aux.loss_ce: 0.1239, aux.acc_seg: 72.3621, loss: 0.3932 +2022-06-19 06:58:31,886 - mmseg - INFO - Iter [75100/160000] lr: 1.634e-05, eta: 6:31:17, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2619, decode.acc_seg: 72.4508, aux.loss_ce: 0.1210, aux.acc_seg: 71.4337, loss: 0.3829 +2022-06-19 06:58:45,170 - mmseg - INFO - Iter [75150/160000] lr: 1.633e-05, eta: 6:31:02, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2636, decode.acc_seg: 73.0844, aux.loss_ce: 0.1219, aux.acc_seg: 72.1801, loss: 0.3855 +2022-06-19 06:58:58,539 - mmseg - INFO - Iter [75200/160000] lr: 1.632e-05, eta: 6:30:48, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2829, decode.acc_seg: 72.1654, aux.loss_ce: 0.1285, aux.acc_seg: 71.0451, loss: 0.4113 +2022-06-19 06:59:11,835 - mmseg - INFO - Iter [75250/160000] lr: 1.631e-05, eta: 6:30:34, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2656, decode.acc_seg: 72.6815, aux.loss_ce: 0.1207, aux.acc_seg: 71.8473, loss: 0.3863 +2022-06-19 06:59:25,202 - mmseg - INFO - Iter [75300/160000] lr: 1.631e-05, eta: 6:30:19, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2689, decode.acc_seg: 73.0393, aux.loss_ce: 0.1240, aux.acc_seg: 71.9220, loss: 0.3929 +2022-06-19 06:59:38,842 - mmseg - INFO - Iter [75350/160000] lr: 1.630e-05, eta: 6:30:05, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2711, decode.acc_seg: 72.6632, aux.loss_ce: 0.1252, aux.acc_seg: 71.6308, loss: 0.3963 +2022-06-19 06:59:52,272 - mmseg - INFO - Iter [75400/160000] lr: 1.629e-05, eta: 6:29:51, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2658, decode.acc_seg: 72.2811, aux.loss_ce: 0.1222, aux.acc_seg: 71.2514, loss: 0.3881 +2022-06-19 07:00:05,943 - mmseg - INFO - Iter [75450/160000] lr: 1.628e-05, eta: 6:29:37, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2774, decode.acc_seg: 72.7572, aux.loss_ce: 0.1292, aux.acc_seg: 71.6028, loss: 0.4066 +2022-06-19 07:00:19,263 - mmseg - INFO - Iter [75500/160000] lr: 1.627e-05, eta: 6:29:23, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2654, decode.acc_seg: 72.9785, aux.loss_ce: 0.1224, aux.acc_seg: 71.9841, loss: 0.3878 +2022-06-19 07:00:32,652 - mmseg - INFO - Iter [75550/160000] lr: 1.626e-05, eta: 6:29:08, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2878, decode.acc_seg: 71.1802, aux.loss_ce: 0.1319, aux.acc_seg: 70.1919, loss: 0.4196 +2022-06-19 07:00:46,042 - mmseg - INFO - Iter [75600/160000] lr: 1.625e-05, eta: 6:28:54, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2677, decode.acc_seg: 72.3667, aux.loss_ce: 0.1259, aux.acc_seg: 71.1299, loss: 0.3937 +2022-06-19 07:00:59,673 - mmseg - INFO - Iter [75650/160000] lr: 1.624e-05, eta: 6:28:40, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2694, decode.acc_seg: 73.1090, aux.loss_ce: 0.1248, aux.acc_seg: 72.0417, loss: 0.3942 +2022-06-19 07:01:13,033 - mmseg - INFO - Iter [75700/160000] lr: 1.623e-05, eta: 6:28:26, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2585, decode.acc_seg: 71.6003, aux.loss_ce: 0.1190, aux.acc_seg: 70.5723, loss: 0.3775 +2022-06-19 07:01:26,472 - mmseg - INFO - Iter [75750/160000] lr: 1.622e-05, eta: 6:28:11, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2807, decode.acc_seg: 70.6975, aux.loss_ce: 0.1284, aux.acc_seg: 69.6925, loss: 0.4092 +2022-06-19 07:01:42,311 - mmseg - INFO - Iter [75800/160000] lr: 1.621e-05, eta: 6:28:00, time: 0.317, data_time: 0.050, memory: 56924, decode.loss_ce: 0.2723, decode.acc_seg: 72.8048, aux.loss_ce: 0.1246, aux.acc_seg: 71.7365, loss: 0.3969 +2022-06-19 07:01:55,621 - mmseg - INFO - Iter [75850/160000] lr: 1.620e-05, eta: 6:27:45, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2698, decode.acc_seg: 72.5990, aux.loss_ce: 0.1250, aux.acc_seg: 71.7414, loss: 0.3948 +2022-06-19 07:02:08,949 - mmseg - INFO - Iter [75900/160000] lr: 1.619e-05, eta: 6:27:31, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2650, decode.acc_seg: 73.1564, aux.loss_ce: 0.1211, aux.acc_seg: 72.2306, loss: 0.3862 +2022-06-19 07:02:22,305 - mmseg - INFO - Iter [75950/160000] lr: 1.618e-05, eta: 6:27:17, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2550, decode.acc_seg: 72.3611, aux.loss_ce: 0.1183, aux.acc_seg: 71.3280, loss: 0.3733 +2022-06-19 07:02:35,796 - mmseg - INFO - Saving checkpoint at 76000 iterations +2022-06-19 07:02:38,700 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 07:02:38,700 - mmseg - INFO - Iter [76000/160000] lr: 1.617e-05, eta: 6:27:06, time: 0.328, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2593, decode.acc_seg: 71.8742, aux.loss_ce: 0.1212, aux.acc_seg: 70.8458, loss: 0.3806 +2022-06-19 07:02:52,257 - mmseg - INFO - Iter [76050/160000] lr: 1.616e-05, eta: 6:26:52, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2669, decode.acc_seg: 72.9136, aux.loss_ce: 0.1241, aux.acc_seg: 71.8678, loss: 0.3910 +2022-06-19 07:03:05,647 - mmseg - INFO - Iter [76100/160000] lr: 1.615e-05, eta: 6:26:37, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2701, decode.acc_seg: 72.5305, aux.loss_ce: 0.1245, aux.acc_seg: 71.4426, loss: 0.3946 +2022-06-19 07:03:19,171 - mmseg - INFO - Iter [76150/160000] lr: 1.614e-05, eta: 6:26:23, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2775, decode.acc_seg: 71.8212, aux.loss_ce: 0.1274, aux.acc_seg: 70.7894, loss: 0.4049 +2022-06-19 07:03:32,709 - mmseg - INFO - Iter [76200/160000] lr: 1.613e-05, eta: 6:26:09, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2641, decode.acc_seg: 72.6262, aux.loss_ce: 0.1226, aux.acc_seg: 71.6013, loss: 0.3867 +2022-06-19 07:03:45,974 - mmseg - INFO - Iter [76250/160000] lr: 1.612e-05, eta: 6:25:54, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2897, decode.acc_seg: 72.6411, aux.loss_ce: 0.1327, aux.acc_seg: 71.7081, loss: 0.4224 +2022-06-19 07:03:59,318 - mmseg - INFO - Iter [76300/160000] lr: 1.611e-05, eta: 6:25:40, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2601, decode.acc_seg: 72.7598, aux.loss_ce: 0.1200, aux.acc_seg: 71.6913, loss: 0.3801 +2022-06-19 07:04:12,498 - mmseg - INFO - Iter [76350/160000] lr: 1.610e-05, eta: 6:25:26, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2611, decode.acc_seg: 70.4938, aux.loss_ce: 0.1211, aux.acc_seg: 69.5247, loss: 0.3822 +2022-06-19 07:04:25,818 - mmseg - INFO - Iter [76400/160000] lr: 1.609e-05, eta: 6:25:11, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2568, decode.acc_seg: 72.5202, aux.loss_ce: 0.1193, aux.acc_seg: 71.6013, loss: 0.3761 +2022-06-19 07:04:39,056 - mmseg - INFO - Iter [76450/160000] lr: 1.608e-05, eta: 6:24:57, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2803, decode.acc_seg: 72.5967, aux.loss_ce: 0.1294, aux.acc_seg: 71.5642, loss: 0.4097 +2022-06-19 07:04:52,594 - mmseg - INFO - Iter [76500/160000] lr: 1.607e-05, eta: 6:24:43, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2901, decode.acc_seg: 71.9552, aux.loss_ce: 0.1340, aux.acc_seg: 70.9877, loss: 0.4241 +2022-06-19 07:05:05,745 - mmseg - INFO - Iter [76550/160000] lr: 1.606e-05, eta: 6:24:28, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2757, decode.acc_seg: 73.0276, aux.loss_ce: 0.1283, aux.acc_seg: 71.8255, loss: 0.4040 +2022-06-19 07:05:19,228 - mmseg - INFO - Iter [76600/160000] lr: 1.605e-05, eta: 6:24:14, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2585, decode.acc_seg: 73.4735, aux.loss_ce: 0.1191, aux.acc_seg: 72.6344, loss: 0.3776 +2022-06-19 07:05:32,819 - mmseg - INFO - Iter [76650/160000] lr: 1.605e-05, eta: 6:24:00, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2646, decode.acc_seg: 71.9300, aux.loss_ce: 0.1224, aux.acc_seg: 71.0317, loss: 0.3870 +2022-06-19 07:05:46,359 - mmseg - INFO - Iter [76700/160000] lr: 1.604e-05, eta: 6:23:46, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2728, decode.acc_seg: 72.7798, aux.loss_ce: 0.1263, aux.acc_seg: 71.8002, loss: 0.3991 +2022-06-19 07:05:59,811 - mmseg - INFO - Iter [76750/160000] lr: 1.603e-05, eta: 6:23:31, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2526, decode.acc_seg: 73.2267, aux.loss_ce: 0.1170, aux.acc_seg: 72.2370, loss: 0.3697 +2022-06-19 07:06:13,387 - mmseg - INFO - Iter [76800/160000] lr: 1.602e-05, eta: 6:23:17, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2716, decode.acc_seg: 72.3411, aux.loss_ce: 0.1262, aux.acc_seg: 71.2462, loss: 0.3977 +2022-06-19 07:06:26,883 - mmseg - INFO - Iter [76850/160000] lr: 1.601e-05, eta: 6:23:03, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2699, decode.acc_seg: 71.1104, aux.loss_ce: 0.1238, aux.acc_seg: 70.1994, loss: 0.3937 +2022-06-19 07:06:40,096 - mmseg - INFO - Iter [76900/160000] lr: 1.600e-05, eta: 6:22:49, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2655, decode.acc_seg: 71.7000, aux.loss_ce: 0.1242, aux.acc_seg: 70.6063, loss: 0.3897 +2022-06-19 07:06:53,437 - mmseg - INFO - Iter [76950/160000] lr: 1.599e-05, eta: 6:22:34, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2784, decode.acc_seg: 71.7794, aux.loss_ce: 0.1271, aux.acc_seg: 70.8108, loss: 0.4055 +2022-06-19 07:07:07,013 - mmseg - INFO - Saving checkpoint at 77000 iterations +2022-06-19 07:07:09,913 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 07:07:09,913 - mmseg - INFO - Iter [77000/160000] lr: 1.598e-05, eta: 6:22:23, time: 0.330, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2700, decode.acc_seg: 71.2313, aux.loss_ce: 0.1241, aux.acc_seg: 70.1719, loss: 0.3941 +2022-06-19 07:07:26,259 - mmseg - INFO - Iter [77050/160000] lr: 1.597e-05, eta: 6:22:12, time: 0.327, data_time: 0.051, memory: 56924, decode.loss_ce: 0.2495, decode.acc_seg: 72.6435, aux.loss_ce: 0.1156, aux.acc_seg: 71.6356, loss: 0.3650 +2022-06-19 07:07:39,959 - mmseg - INFO - Iter [77100/160000] lr: 1.596e-05, eta: 6:21:58, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2603, decode.acc_seg: 73.0935, aux.loss_ce: 0.1208, aux.acc_seg: 72.0213, loss: 0.3811 +2022-06-19 07:07:53,341 - mmseg - INFO - Iter [77150/160000] lr: 1.595e-05, eta: 6:21:44, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.3039, decode.acc_seg: 70.9795, aux.loss_ce: 0.1373, aux.acc_seg: 70.1891, loss: 0.4412 +2022-06-19 07:08:06,824 - mmseg - INFO - Iter [77200/160000] lr: 1.594e-05, eta: 6:21:30, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2821, decode.acc_seg: 70.4934, aux.loss_ce: 0.1294, aux.acc_seg: 69.5926, loss: 0.4115 +2022-06-19 07:08:20,436 - mmseg - INFO - Iter [77250/160000] lr: 1.593e-05, eta: 6:21:16, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2718, decode.acc_seg: 71.6625, aux.loss_ce: 0.1254, aux.acc_seg: 70.5401, loss: 0.3973 +2022-06-19 07:08:33,999 - mmseg - INFO - Iter [77300/160000] lr: 1.592e-05, eta: 6:21:02, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2533, decode.acc_seg: 71.7443, aux.loss_ce: 0.1162, aux.acc_seg: 70.8923, loss: 0.3695 +2022-06-19 07:08:47,512 - mmseg - INFO - Iter [77350/160000] lr: 1.591e-05, eta: 6:20:48, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2469, decode.acc_seg: 73.3287, aux.loss_ce: 0.1131, aux.acc_seg: 72.3919, loss: 0.3600 +2022-06-19 07:09:00,769 - mmseg - INFO - Iter [77400/160000] lr: 1.590e-05, eta: 6:20:33, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2724, decode.acc_seg: 71.6113, aux.loss_ce: 0.1294, aux.acc_seg: 70.3949, loss: 0.4018 +2022-06-19 07:09:14,355 - mmseg - INFO - Iter [77450/160000] lr: 1.589e-05, eta: 6:20:19, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2577, decode.acc_seg: 72.3693, aux.loss_ce: 0.1200, aux.acc_seg: 71.1920, loss: 0.3777 +2022-06-19 07:09:27,902 - mmseg - INFO - Iter [77500/160000] lr: 1.588e-05, eta: 6:20:05, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2625, decode.acc_seg: 72.0939, aux.loss_ce: 0.1228, aux.acc_seg: 70.8843, loss: 0.3853 +2022-06-19 07:09:41,122 - mmseg - INFO - Iter [77550/160000] lr: 1.587e-05, eta: 6:19:51, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2696, decode.acc_seg: 72.7365, aux.loss_ce: 0.1226, aux.acc_seg: 71.7951, loss: 0.3922 +2022-06-19 07:09:54,608 - mmseg - INFO - Iter [77600/160000] lr: 1.586e-05, eta: 6:19:36, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2661, decode.acc_seg: 72.7146, aux.loss_ce: 0.1214, aux.acc_seg: 71.6856, loss: 0.3875 +2022-06-19 07:10:07,886 - mmseg - INFO - Iter [77650/160000] lr: 1.585e-05, eta: 6:19:22, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2694, decode.acc_seg: 72.3031, aux.loss_ce: 0.1250, aux.acc_seg: 71.2841, loss: 0.3944 +2022-06-19 07:10:21,564 - mmseg - INFO - Iter [77700/160000] lr: 1.584e-05, eta: 6:19:08, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2497, decode.acc_seg: 72.0252, aux.loss_ce: 0.1131, aux.acc_seg: 71.1541, loss: 0.3628 +2022-06-19 07:10:35,008 - mmseg - INFO - Iter [77750/160000] lr: 1.583e-05, eta: 6:18:54, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2660, decode.acc_seg: 72.1528, aux.loss_ce: 0.1233, aux.acc_seg: 71.1490, loss: 0.3894 +2022-06-19 07:10:48,581 - mmseg - INFO - Iter [77800/160000] lr: 1.582e-05, eta: 6:18:40, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2684, decode.acc_seg: 70.9268, aux.loss_ce: 0.1235, aux.acc_seg: 69.8478, loss: 0.3919 +2022-06-19 07:11:02,058 - mmseg - INFO - Iter [77850/160000] lr: 1.581e-05, eta: 6:18:26, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2796, decode.acc_seg: 73.3441, aux.loss_ce: 0.1294, aux.acc_seg: 72.2613, loss: 0.4091 +2022-06-19 07:11:15,330 - mmseg - INFO - Iter [77900/160000] lr: 1.580e-05, eta: 6:18:11, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2791, decode.acc_seg: 72.3170, aux.loss_ce: 0.1279, aux.acc_seg: 71.3045, loss: 0.4070 +2022-06-19 07:11:28,798 - mmseg - INFO - Iter [77950/160000] lr: 1.580e-05, eta: 6:17:57, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2723, decode.acc_seg: 71.6628, aux.loss_ce: 0.1258, aux.acc_seg: 70.6474, loss: 0.3981 +2022-06-19 07:11:42,440 - mmseg - INFO - Saving checkpoint at 78000 iterations +2022-06-19 07:11:45,365 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 07:11:45,365 - mmseg - INFO - Iter [78000/160000] lr: 1.579e-05, eta: 6:17:46, time: 0.332, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2778, decode.acc_seg: 72.4461, aux.loss_ce: 0.1265, aux.acc_seg: 71.5825, loss: 0.4043 +2022-06-19 07:11:58,652 - mmseg - INFO - Iter [78050/160000] lr: 1.578e-05, eta: 6:17:32, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2559, decode.acc_seg: 72.9932, aux.loss_ce: 0.1194, aux.acc_seg: 71.9210, loss: 0.3753 +2022-06-19 07:12:12,122 - mmseg - INFO - Iter [78100/160000] lr: 1.577e-05, eta: 6:17:17, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2625, decode.acc_seg: 72.4456, aux.loss_ce: 0.1217, aux.acc_seg: 71.5268, loss: 0.3842 +2022-06-19 07:12:25,708 - mmseg - INFO - Iter [78150/160000] lr: 1.576e-05, eta: 6:17:03, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2680, decode.acc_seg: 72.2981, aux.loss_ce: 0.1228, aux.acc_seg: 71.2614, loss: 0.3908 +2022-06-19 07:12:39,052 - mmseg - INFO - Iter [78200/160000] lr: 1.575e-05, eta: 6:16:49, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2653, decode.acc_seg: 73.2718, aux.loss_ce: 0.1236, aux.acc_seg: 72.0661, loss: 0.3889 +2022-06-19 07:12:52,629 - mmseg - INFO - Iter [78250/160000] lr: 1.574e-05, eta: 6:16:35, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2870, decode.acc_seg: 72.5179, aux.loss_ce: 0.1331, aux.acc_seg: 71.2841, loss: 0.4201 +2022-06-19 07:13:06,045 - mmseg - INFO - Iter [78300/160000] lr: 1.573e-05, eta: 6:16:21, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2635, decode.acc_seg: 72.0338, aux.loss_ce: 0.1224, aux.acc_seg: 70.9342, loss: 0.3859 +2022-06-19 07:13:21,561 - mmseg - INFO - Iter [78350/160000] lr: 1.572e-05, eta: 6:16:09, time: 0.310, data_time: 0.050, memory: 56924, decode.loss_ce: 0.2456, decode.acc_seg: 72.7875, aux.loss_ce: 0.1148, aux.acc_seg: 71.6298, loss: 0.3604 +2022-06-19 07:13:34,947 - mmseg - INFO - Iter [78400/160000] lr: 1.571e-05, eta: 6:15:54, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2581, decode.acc_seg: 71.3423, aux.loss_ce: 0.1192, aux.acc_seg: 70.4210, loss: 0.3773 +2022-06-19 07:13:48,331 - mmseg - INFO - Iter [78450/160000] lr: 1.570e-05, eta: 6:15:40, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2530, decode.acc_seg: 72.0881, aux.loss_ce: 0.1172, aux.acc_seg: 71.0619, loss: 0.3702 +2022-06-19 07:14:01,767 - mmseg - INFO - Iter [78500/160000] lr: 1.569e-05, eta: 6:15:26, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2741, decode.acc_seg: 73.5943, aux.loss_ce: 0.1269, aux.acc_seg: 72.5185, loss: 0.4011 +2022-06-19 07:14:15,046 - mmseg - INFO - Iter [78550/160000] lr: 1.568e-05, eta: 6:15:12, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2623, decode.acc_seg: 72.1334, aux.loss_ce: 0.1219, aux.acc_seg: 71.1045, loss: 0.3842 +2022-06-19 07:14:28,639 - mmseg - INFO - Iter [78600/160000] lr: 1.567e-05, eta: 6:14:57, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2690, decode.acc_seg: 71.8995, aux.loss_ce: 0.1228, aux.acc_seg: 70.9000, loss: 0.3918 +2022-06-19 07:14:42,196 - mmseg - INFO - Iter [78650/160000] lr: 1.566e-05, eta: 6:14:43, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2601, decode.acc_seg: 72.2769, aux.loss_ce: 0.1204, aux.acc_seg: 71.2653, loss: 0.3804 +2022-06-19 07:14:55,659 - mmseg - INFO - Iter [78700/160000] lr: 1.565e-05, eta: 6:14:29, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2524, decode.acc_seg: 70.7042, aux.loss_ce: 0.1162, aux.acc_seg: 69.7119, loss: 0.3686 +2022-06-19 07:15:09,130 - mmseg - INFO - Iter [78750/160000] lr: 1.564e-05, eta: 6:14:15, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2542, decode.acc_seg: 73.2205, aux.loss_ce: 0.1193, aux.acc_seg: 72.0981, loss: 0.3734 +2022-06-19 07:15:22,901 - mmseg - INFO - Iter [78800/160000] lr: 1.563e-05, eta: 6:14:01, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2619, decode.acc_seg: 73.1401, aux.loss_ce: 0.1221, aux.acc_seg: 72.1692, loss: 0.3841 +2022-06-19 07:15:36,642 - mmseg - INFO - Iter [78850/160000] lr: 1.562e-05, eta: 6:13:47, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2535, decode.acc_seg: 71.5477, aux.loss_ce: 0.1168, aux.acc_seg: 70.5938, loss: 0.3703 +2022-06-19 07:15:50,214 - mmseg - INFO - Iter [78900/160000] lr: 1.561e-05, eta: 6:13:33, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2819, decode.acc_seg: 72.0757, aux.loss_ce: 0.1293, aux.acc_seg: 71.1739, loss: 0.4112 +2022-06-19 07:16:03,916 - mmseg - INFO - Iter [78950/160000] lr: 1.560e-05, eta: 6:13:19, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2742, decode.acc_seg: 73.1761, aux.loss_ce: 0.1248, aux.acc_seg: 72.2950, loss: 0.3990 +2022-06-19 07:16:17,315 - mmseg - INFO - Saving checkpoint at 79000 iterations +2022-06-19 07:16:20,283 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 07:16:20,283 - mmseg - INFO - Iter [79000/160000] lr: 1.559e-05, eta: 6:13:08, time: 0.327, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2806, decode.acc_seg: 70.4817, aux.loss_ce: 0.1289, aux.acc_seg: 69.6973, loss: 0.4095 +2022-06-19 07:16:34,067 - mmseg - INFO - Iter [79050/160000] lr: 1.558e-05, eta: 6:12:54, time: 0.276, data_time: 0.006, memory: 56924, decode.loss_ce: 0.2636, decode.acc_seg: 71.6272, aux.loss_ce: 0.1234, aux.acc_seg: 70.4846, loss: 0.3870 +2022-06-19 07:16:47,555 - mmseg - INFO - Iter [79100/160000] lr: 1.557e-05, eta: 6:12:40, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2661, decode.acc_seg: 72.9039, aux.loss_ce: 0.1219, aux.acc_seg: 71.8561, loss: 0.3880 +2022-06-19 07:17:01,016 - mmseg - INFO - Iter [79150/160000] lr: 1.556e-05, eta: 6:12:26, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2653, decode.acc_seg: 71.8692, aux.loss_ce: 0.1225, aux.acc_seg: 70.7954, loss: 0.3879 +2022-06-19 07:17:14,396 - mmseg - INFO - Iter [79200/160000] lr: 1.555e-05, eta: 6:12:12, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2784, decode.acc_seg: 71.3462, aux.loss_ce: 0.1281, aux.acc_seg: 70.4140, loss: 0.4065 +2022-06-19 07:17:27,956 - mmseg - INFO - Iter [79250/160000] lr: 1.554e-05, eta: 6:11:57, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2818, decode.acc_seg: 70.1391, aux.loss_ce: 0.1300, aux.acc_seg: 69.0872, loss: 0.4119 +2022-06-19 07:17:41,334 - mmseg - INFO - Iter [79300/160000] lr: 1.554e-05, eta: 6:11:43, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2615, decode.acc_seg: 71.4034, aux.loss_ce: 0.1204, aux.acc_seg: 70.2500, loss: 0.3820 +2022-06-19 07:17:54,861 - mmseg - INFO - Iter [79350/160000] lr: 1.553e-05, eta: 6:11:29, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2566, decode.acc_seg: 71.2652, aux.loss_ce: 0.1181, aux.acc_seg: 70.3312, loss: 0.3747 +2022-06-19 07:18:08,300 - mmseg - INFO - Iter [79400/160000] lr: 1.552e-05, eta: 6:11:15, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2840, decode.acc_seg: 73.3285, aux.loss_ce: 0.1296, aux.acc_seg: 72.4718, loss: 0.4136 +2022-06-19 07:18:21,740 - mmseg - INFO - Iter [79450/160000] lr: 1.551e-05, eta: 6:11:01, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2632, decode.acc_seg: 71.8239, aux.loss_ce: 0.1223, aux.acc_seg: 70.7694, loss: 0.3855 +2022-06-19 07:18:34,938 - mmseg - INFO - Iter [79500/160000] lr: 1.550e-05, eta: 6:10:46, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2592, decode.acc_seg: 73.4407, aux.loss_ce: 0.1206, aux.acc_seg: 72.4202, loss: 0.3798 +2022-06-19 07:18:48,500 - mmseg - INFO - Iter [79550/160000] lr: 1.549e-05, eta: 6:10:32, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2687, decode.acc_seg: 72.6727, aux.loss_ce: 0.1233, aux.acc_seg: 71.5959, loss: 0.3920 +2022-06-19 07:19:04,658 - mmseg - INFO - Iter [79600/160000] lr: 1.548e-05, eta: 6:10:21, time: 0.323, data_time: 0.051, memory: 56924, decode.loss_ce: 0.2528, decode.acc_seg: 71.9602, aux.loss_ce: 0.1212, aux.acc_seg: 70.7892, loss: 0.3741 +2022-06-19 07:19:18,420 - mmseg - INFO - Iter [79650/160000] lr: 1.547e-05, eta: 6:10:07, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2524, decode.acc_seg: 73.4288, aux.loss_ce: 0.1181, aux.acc_seg: 72.3056, loss: 0.3706 +2022-06-19 07:19:31,768 - mmseg - INFO - Iter [79700/160000] lr: 1.546e-05, eta: 6:09:53, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2589, decode.acc_seg: 71.3965, aux.loss_ce: 0.1206, aux.acc_seg: 70.4141, loss: 0.3794 +2022-06-19 07:19:45,253 - mmseg - INFO - Iter [79750/160000] lr: 1.545e-05, eta: 6:09:38, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2430, decode.acc_seg: 71.7639, aux.loss_ce: 0.1164, aux.acc_seg: 70.4795, loss: 0.3594 +2022-06-19 07:19:58,781 - mmseg - INFO - Iter [79800/160000] lr: 1.544e-05, eta: 6:09:24, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2647, decode.acc_seg: 72.4098, aux.loss_ce: 0.1220, aux.acc_seg: 71.3656, loss: 0.3867 +2022-06-19 07:20:12,155 - mmseg - INFO - Iter [79850/160000] lr: 1.543e-05, eta: 6:09:10, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2541, decode.acc_seg: 73.4274, aux.loss_ce: 0.1176, aux.acc_seg: 72.4197, loss: 0.3717 +2022-06-19 07:20:25,715 - mmseg - INFO - Iter [79900/160000] lr: 1.542e-05, eta: 6:08:56, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2654, decode.acc_seg: 72.9160, aux.loss_ce: 0.1235, aux.acc_seg: 71.8318, loss: 0.3889 +2022-06-19 07:20:39,185 - mmseg - INFO - Iter [79950/160000] lr: 1.541e-05, eta: 6:08:42, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2575, decode.acc_seg: 72.9643, aux.loss_ce: 0.1204, aux.acc_seg: 71.9333, loss: 0.3780 +2022-06-19 07:20:52,766 - mmseg - INFO - Saving checkpoint at 80000 iterations +2022-06-19 07:20:55,758 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 07:20:55,758 - mmseg - INFO - Iter [80000/160000] lr: 1.540e-05, eta: 6:08:31, time: 0.332, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2539, decode.acc_seg: 71.6475, aux.loss_ce: 0.1201, aux.acc_seg: 70.5355, loss: 0.3740 +2022-06-19 07:21:17,145 - mmseg - INFO - per class results: +2022-06-19 07:21:17,158 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 77.19 | 87.65 | +| building | 81.6 | 92.72 | +| sky | 94.06 | 97.66 | +| floor | 81.35 | 89.93 | +| tree | 73.26 | 87.11 | +| ceiling | 83.93 | 91.57 | +| road | 82.66 | 91.14 | +| bed | 87.28 | 94.36 | +| windowpane | 60.49 | 78.36 | +| grass | 69.47 | 83.91 | +| cabinet | 61.08 | 75.95 | +| sidewalk | 62.48 | 79.14 | +| person | 79.19 | 92.21 | +| earth | 35.41 | 49.71 | +| door | 48.11 | 64.93 | +| table | 56.92 | 74.49 | +| mountain | 55.46 | 65.12 | +| plant | 52.06 | 63.7 | +| curtain | 71.31 | 81.85 | +| chair | 54.65 | 67.96 | +| car | 83.25 | 92.56 | +| water | 62.72 | 79.64 | +| painting | 70.81 | 86.93 | +| sofa | 66.02 | 78.91 | +| shelf | 42.67 | 61.69 | +| house | 41.79 | 54.2 | +| sea | 68.94 | 87.71 | +| mirror | 63.89 | 70.83 | +| rug | 59.38 | 74.39 | +| field | 31.4 | 43.64 | +| armchair | 41.96 | 64.42 | +| seat | 64.5 | 81.55 | +| fence | 40.94 | 54.92 | +| desk | 46.32 | 61.55 | +| rock | 44.92 | 71.47 | +| wardrobe | 54.97 | 62.96 | +| lamp | 59.65 | 73.91 | +| bathtub | 77.81 | 87.24 | +| railing | 34.63 | 50.36 | +| cushion | 57.6 | 72.86 | +| base | 36.56 | 59.37 | +| box | 23.62 | 30.27 | +| column | 45.36 | 56.95 | +| signboard | 36.29 | 47.65 | +| chest of drawers | 43.2 | 55.47 | +| counter | 21.48 | 25.92 | +| sand | 50.37 | 74.16 | +| sink | 68.24 | 75.85 | +| skyscraper | 52.53 | 58.13 | +| fireplace | 72.7 | 86.89 | +| refrigerator | 72.91 | 81.49 | +| grandstand | 46.41 | 68.11 | +| path | 17.21 | 25.11 | +| stairs | 30.4 | 40.69 | +| runway | 69.22 | 90.34 | +| case | 45.15 | 56.48 | +| pool table | 91.88 | 95.85 | +| pillow | 55.28 | 65.15 | +| screen door | 71.11 | 85.11 | +| stairway | 33.99 | 48.9 | +| river | 15.44 | 20.45 | +| bridge | 60.58 | 70.92 | +| bookcase | 40.87 | 65.34 | +| blind | 27.68 | 29.89 | +| coffee table | 57.68 | 82.47 | +| toilet | 84.11 | 90.37 | +| flower | 41.24 | 54.09 | +| book | 44.88 | 67.12 | +| hill | 10.44 | 18.69 | +| bench | 41.65 | 49.06 | +| countertop | 56.9 | 72.13 | +| stove | 68.89 | 76.99 | +| palm | 51.67 | 70.5 | +| kitchen island | 37.53 | 74.27 | +| computer | 63.65 | 76.53 | +| swivel chair | 43.98 | 57.69 | +| boat | 56.89 | 63.15 | +| bar | 39.65 | 54.79 | +| arcade machine | 70.98 | 77.29 | +| hovel | 36.8 | 43.89 | +| bus | 85.1 | 94.92 | +| towel | 58.42 | 82.27 | +| light | 50.53 | 59.77 | +| truck | 25.09 | 35.61 | +| tower | 42.65 | 53.86 | +| chandelier | 62.4 | 76.07 | +| awning | 24.93 | 31.85 | +| streetlight | 22.4 | 30.0 | +| booth | 34.99 | 37.86 | +| television receiver | 65.94 | 79.22 | +| airplane | 53.05 | 64.62 | +| dirt track | 4.03 | 10.46 | +| apparel | 32.98 | 43.21 | +| pole | 19.31 | 27.28 | +| land | 2.69 | 3.77 | +| bannister | 14.33 | 24.39 | +| escalator | 49.13 | 76.46 | +| ottoman | 39.55 | 54.65 | +| bottle | 35.88 | 54.94 | +| buffet | 27.61 | 29.48 | +| poster | 20.26 | 30.38 | +| stage | 14.29 | 23.08 | +| van | 39.41 | 51.41 | +| ship | 64.27 | 79.1 | +| fountain | 29.97 | 33.96 | +| conveyer belt | 77.88 | 91.48 | +| canopy | 23.88 | 29.34 | +| washer | 72.53 | 73.13 | +| plaything | 23.8 | 40.01 | +| swimming pool | 59.55 | 77.96 | +| stool | 35.71 | 59.39 | +| barrel | 51.43 | 63.52 | +| basket | 36.58 | 48.1 | +| waterfall | 53.25 | 76.87 | +| tent | 95.99 | 98.31 | +| bag | 12.98 | 16.72 | +| minibike | 66.94 | 77.64 | +| cradle | 71.69 | 89.35 | +| oven | 44.38 | 65.95 | +| ball | 37.85 | 48.87 | +| food | 43.77 | 53.06 | +| step | 7.63 | 9.89 | +| tank | 48.34 | 52.31 | +| trade name | 28.52 | 31.7 | +| microwave | 80.3 | 84.85 | +| pot | 39.6 | 45.98 | +| animal | 56.48 | 58.84 | +| bicycle | 52.96 | 79.38 | +| lake | 56.8 | 63.8 | +| dishwasher | 58.05 | 71.64 | +| screen | 60.9 | 86.05 | +| blanket | 10.06 | 12.07 | +| sculpture | 53.26 | 78.28 | +| hood | 58.33 | 63.69 | +| sconce | 37.3 | 44.76 | +| vase | 34.32 | 53.64 | +| traffic light | 33.82 | 53.41 | +| tray | 3.2 | 4.25 | +| ashcan | 38.14 | 55.62 | +| fan | 58.18 | 72.24 | +| pier | 32.01 | 47.97 | +| crt screen | 0.9 | 3.54 | +| plate | 45.58 | 64.97 | +| monitor | 10.48 | 11.14 | +| bulletin board | 16.51 | 20.71 | +| shower | 0.01 | 0.01 | +| radiator | 58.16 | 66.27 | +| glass | 9.32 | 10.33 | +| clock | 26.72 | 29.5 | +| flag | 41.79 | 46.74 | ++---------------------+-------+-------+ +2022-06-19 07:21:17,158 - mmseg - INFO - Summary: +2022-06-19 07:21:17,158 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.67 | 48.02 | 59.91 | ++-------+-------+-------+ +2022-06-19 07:21:17,160 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_deit_adapter_base_512_160k_ade20k/best_mIoU_iter_64000.pth was removed +2022-06-19 07:21:20,001 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_80000.pth. +2022-06-19 07:21:20,001 - mmseg - INFO - Best mIoU is 0.4802 at 80000 iter. +2022-06-19 07:21:20,010 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 07:21:20,011 - mmseg - INFO - Iter(val) [250] aAcc: 0.8267, mIoU: 0.4802, mAcc: 0.5991, IoU.wall: 0.7719, IoU.building: 0.8160, IoU.sky: 0.9406, IoU.floor: 0.8135, IoU.tree: 0.7326, IoU.ceiling: 0.8393, IoU.road: 0.8266, IoU.bed : 0.8728, IoU.windowpane: 0.6049, IoU.grass: 0.6947, IoU.cabinet: 0.6108, IoU.sidewalk: 0.6248, IoU.person: 0.7919, IoU.earth: 0.3541, IoU.door: 0.4811, IoU.table: 0.5692, IoU.mountain: 0.5546, IoU.plant: 0.5206, IoU.curtain: 0.7131, IoU.chair: 0.5465, IoU.car: 0.8325, IoU.water: 0.6272, IoU.painting: 0.7081, IoU.sofa: 0.6602, IoU.shelf: 0.4267, IoU.house: 0.4179, IoU.sea: 0.6894, IoU.mirror: 0.6389, IoU.rug: 0.5938, IoU.field: 0.3140, IoU.armchair: 0.4196, IoU.seat: 0.6450, IoU.fence: 0.4094, IoU.desk: 0.4632, IoU.rock: 0.4492, IoU.wardrobe: 0.5497, IoU.lamp: 0.5965, IoU.bathtub: 0.7781, IoU.railing: 0.3463, IoU.cushion: 0.5760, IoU.base: 0.3656, IoU.box: 0.2362, IoU.column: 0.4536, IoU.signboard: 0.3629, IoU.chest of drawers: 0.4320, IoU.counter: 0.2148, IoU.sand: 0.5037, IoU.sink: 0.6824, IoU.skyscraper: 0.5253, IoU.fireplace: 0.7270, IoU.refrigerator: 0.7291, IoU.grandstand: 0.4641, IoU.path: 0.1721, IoU.stairs: 0.3040, IoU.runway: 0.6922, IoU.case: 0.4515, IoU.pool table: 0.9188, IoU.pillow: 0.5528, IoU.screen door: 0.7111, IoU.stairway: 0.3399, IoU.river: 0.1544, IoU.bridge: 0.6058, IoU.bookcase: 0.4087, IoU.blind: 0.2768, IoU.coffee table: 0.5768, IoU.toilet: 0.8411, IoU.flower: 0.4124, IoU.book: 0.4488, IoU.hill: 0.1044, IoU.bench: 0.4165, IoU.countertop: 0.5690, IoU.stove: 0.6889, IoU.palm: 0.5167, IoU.kitchen island: 0.3753, IoU.computer: 0.6365, IoU.swivel chair: 0.4398, IoU.boat: 0.5689, IoU.bar: 0.3965, IoU.arcade machine: 0.7098, IoU.hovel: 0.3680, IoU.bus: 0.8510, IoU.towel: 0.5842, IoU.light: 0.5053, IoU.truck: 0.2509, IoU.tower: 0.4265, IoU.chandelier: 0.6240, IoU.awning: 0.2493, IoU.streetlight: 0.2240, IoU.booth: 0.3499, IoU.television receiver: 0.6594, IoU.airplane: 0.5305, IoU.dirt track: 0.0403, IoU.apparel: 0.3298, IoU.pole: 0.1931, IoU.land: 0.0269, IoU.bannister: 0.1433, IoU.escalator: 0.4913, IoU.ottoman: 0.3955, IoU.bottle: 0.3588, IoU.buffet: 0.2761, IoU.poster: 0.2026, IoU.stage: 0.1429, IoU.van: 0.3941, IoU.ship: 0.6427, IoU.fountain: 0.2997, IoU.conveyer belt: 0.7788, IoU.canopy: 0.2388, IoU.washer: 0.7253, IoU.plaything: 0.2380, IoU.swimming pool: 0.5955, IoU.stool: 0.3571, IoU.barrel: 0.5143, IoU.basket: 0.3658, IoU.waterfall: 0.5325, IoU.tent: 0.9599, IoU.bag: 0.1298, IoU.minibike: 0.6694, IoU.cradle: 0.7169, IoU.oven: 0.4438, IoU.ball: 0.3785, IoU.food: 0.4377, IoU.step: 0.0763, IoU.tank: 0.4834, IoU.trade name: 0.2852, IoU.microwave: 0.8030, IoU.pot: 0.3960, IoU.animal: 0.5648, IoU.bicycle: 0.5296, IoU.lake: 0.5680, IoU.dishwasher: 0.5805, IoU.screen: 0.6090, IoU.blanket: 0.1006, IoU.sculpture: 0.5326, IoU.hood: 0.5833, IoU.sconce: 0.3730, IoU.vase: 0.3432, IoU.traffic light: 0.3382, IoU.tray: 0.0320, IoU.ashcan: 0.3814, IoU.fan: 0.5818, IoU.pier: 0.3201, IoU.crt screen: 0.0090, IoU.plate: 0.4558, IoU.monitor: 0.1048, IoU.bulletin board: 0.1651, IoU.shower: 0.0001, IoU.radiator: 0.5816, IoU.glass: 0.0932, IoU.clock: 0.2672, IoU.flag: 0.4179, Acc.wall: 0.8765, Acc.building: 0.9272, Acc.sky: 0.9766, Acc.floor: 0.8993, Acc.tree: 0.8711, Acc.ceiling: 0.9157, Acc.road: 0.9114, Acc.bed : 0.9436, Acc.windowpane: 0.7836, Acc.grass: 0.8391, Acc.cabinet: 0.7595, Acc.sidewalk: 0.7914, Acc.person: 0.9221, Acc.earth: 0.4971, Acc.door: 0.6493, Acc.table: 0.7449, Acc.mountain: 0.6512, Acc.plant: 0.6370, Acc.curtain: 0.8185, Acc.chair: 0.6796, Acc.car: 0.9256, Acc.water: 0.7964, Acc.painting: 0.8693, Acc.sofa: 0.7891, Acc.shelf: 0.6169, Acc.house: 0.5420, Acc.sea: 0.8771, Acc.mirror: 0.7083, Acc.rug: 0.7439, Acc.field: 0.4364, Acc.armchair: 0.6442, Acc.seat: 0.8155, Acc.fence: 0.5492, Acc.desk: 0.6155, Acc.rock: 0.7147, Acc.wardrobe: 0.6296, Acc.lamp: 0.7391, Acc.bathtub: 0.8724, Acc.railing: 0.5036, Acc.cushion: 0.7286, Acc.base: 0.5937, Acc.box: 0.3027, Acc.column: 0.5695, Acc.signboard: 0.4765, Acc.chest of drawers: 0.5547, Acc.counter: 0.2592, Acc.sand: 0.7416, Acc.sink: 0.7585, Acc.skyscraper: 0.5813, Acc.fireplace: 0.8689, Acc.refrigerator: 0.8149, Acc.grandstand: 0.6811, Acc.path: 0.2511, Acc.stairs: 0.4069, Acc.runway: 0.9034, Acc.case: 0.5648, Acc.pool table: 0.9585, Acc.pillow: 0.6515, Acc.screen door: 0.8511, Acc.stairway: 0.4890, Acc.river: 0.2045, Acc.bridge: 0.7092, Acc.bookcase: 0.6534, Acc.blind: 0.2989, Acc.coffee table: 0.8247, Acc.toilet: 0.9037, Acc.flower: 0.5409, Acc.book: 0.6712, Acc.hill: 0.1869, Acc.bench: 0.4906, Acc.countertop: 0.7213, Acc.stove: 0.7699, Acc.palm: 0.7050, Acc.kitchen island: 0.7427, Acc.computer: 0.7653, Acc.swivel chair: 0.5769, Acc.boat: 0.6315, Acc.bar: 0.5479, Acc.arcade machine: 0.7729, Acc.hovel: 0.4389, Acc.bus: 0.9492, Acc.towel: 0.8227, Acc.light: 0.5977, Acc.truck: 0.3561, Acc.tower: 0.5386, Acc.chandelier: 0.7607, Acc.awning: 0.3185, Acc.streetlight: 0.3000, Acc.booth: 0.3786, Acc.television receiver: 0.7922, Acc.airplane: 0.6462, Acc.dirt track: 0.1046, Acc.apparel: 0.4321, Acc.pole: 0.2728, Acc.land: 0.0377, Acc.bannister: 0.2439, Acc.escalator: 0.7646, Acc.ottoman: 0.5465, Acc.bottle: 0.5494, Acc.buffet: 0.2948, Acc.poster: 0.3038, Acc.stage: 0.2308, Acc.van: 0.5141, Acc.ship: 0.7910, Acc.fountain: 0.3396, Acc.conveyer belt: 0.9148, Acc.canopy: 0.2934, Acc.washer: 0.7313, Acc.plaything: 0.4001, Acc.swimming pool: 0.7796, Acc.stool: 0.5939, Acc.barrel: 0.6352, Acc.basket: 0.4810, Acc.waterfall: 0.7687, Acc.tent: 0.9831, Acc.bag: 0.1672, Acc.minibike: 0.7764, Acc.cradle: 0.8935, Acc.oven: 0.6595, Acc.ball: 0.4887, Acc.food: 0.5306, Acc.step: 0.0989, Acc.tank: 0.5231, Acc.trade name: 0.3170, Acc.microwave: 0.8485, Acc.pot: 0.4598, Acc.animal: 0.5884, Acc.bicycle: 0.7938, Acc.lake: 0.6380, Acc.dishwasher: 0.7164, Acc.screen: 0.8605, Acc.blanket: 0.1207, Acc.sculpture: 0.7828, Acc.hood: 0.6369, Acc.sconce: 0.4476, Acc.vase: 0.5364, Acc.traffic light: 0.5341, Acc.tray: 0.0425, Acc.ashcan: 0.5562, Acc.fan: 0.7224, Acc.pier: 0.4797, Acc.crt screen: 0.0354, Acc.plate: 0.6497, Acc.monitor: 0.1114, Acc.bulletin board: 0.2071, Acc.shower: 0.0001, Acc.radiator: 0.6627, Acc.glass: 0.1033, Acc.clock: 0.2950, Acc.flag: 0.4674 +2022-06-19 07:21:33,487 - mmseg - INFO - Iter [80050/160000] lr: 1.539e-05, eta: 6:08:41, time: 0.754, data_time: 0.489, memory: 56924, decode.loss_ce: 0.2664, decode.acc_seg: 72.2056, aux.loss_ce: 0.1235, aux.acc_seg: 71.1716, loss: 0.3899 +2022-06-19 07:21:46,986 - mmseg - INFO - Iter [80100/160000] lr: 1.538e-05, eta: 6:08:27, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2562, decode.acc_seg: 73.6347, aux.loss_ce: 0.1196, aux.acc_seg: 72.7058, loss: 0.3758 +2022-06-19 07:22:00,348 - mmseg - INFO - Iter [80150/160000] lr: 1.537e-05, eta: 6:08:12, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2735, decode.acc_seg: 71.3160, aux.loss_ce: 0.1268, aux.acc_seg: 70.2347, loss: 0.4003 +2022-06-19 07:22:13,859 - mmseg - INFO - Iter [80200/160000] lr: 1.536e-05, eta: 6:07:58, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2716, decode.acc_seg: 72.0513, aux.loss_ce: 0.1261, aux.acc_seg: 70.9955, loss: 0.3977 +2022-06-19 07:22:27,219 - mmseg - INFO - Iter [80250/160000] lr: 1.535e-05, eta: 6:07:44, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2762, decode.acc_seg: 71.0418, aux.loss_ce: 0.1251, aux.acc_seg: 70.3143, loss: 0.4013 +2022-06-19 07:22:40,508 - mmseg - INFO - Iter [80300/160000] lr: 1.534e-05, eta: 6:07:29, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2720, decode.acc_seg: 72.2669, aux.loss_ce: 0.1250, aux.acc_seg: 71.2605, loss: 0.3971 +2022-06-19 07:22:53,941 - mmseg - INFO - Iter [80350/160000] lr: 1.533e-05, eta: 6:07:15, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2724, decode.acc_seg: 72.9287, aux.loss_ce: 0.1249, aux.acc_seg: 71.9770, loss: 0.3973 +2022-06-19 07:23:07,453 - mmseg - INFO - Iter [80400/160000] lr: 1.532e-05, eta: 6:07:01, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2559, decode.acc_seg: 71.8509, aux.loss_ce: 0.1177, aux.acc_seg: 70.9689, loss: 0.3735 +2022-06-19 07:23:20,833 - mmseg - INFO - Iter [80450/160000] lr: 1.531e-05, eta: 6:06:47, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2679, decode.acc_seg: 72.9948, aux.loss_ce: 0.1231, aux.acc_seg: 72.0116, loss: 0.3909 +2022-06-19 07:23:34,422 - mmseg - INFO - Iter [80500/160000] lr: 1.530e-05, eta: 6:06:33, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2401, decode.acc_seg: 72.2064, aux.loss_ce: 0.1113, aux.acc_seg: 71.0167, loss: 0.3514 +2022-06-19 07:23:48,177 - mmseg - INFO - Iter [80550/160000] lr: 1.529e-05, eta: 6:06:19, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2627, decode.acc_seg: 73.6039, aux.loss_ce: 0.1211, aux.acc_seg: 72.6286, loss: 0.3838 +2022-06-19 07:24:01,590 - mmseg - INFO - Iter [80600/160000] lr: 1.528e-05, eta: 6:06:05, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2564, decode.acc_seg: 71.8605, aux.loss_ce: 0.1217, aux.acc_seg: 70.6688, loss: 0.3781 +2022-06-19 07:24:14,752 - mmseg - INFO - Iter [80650/160000] lr: 1.528e-05, eta: 6:05:50, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2586, decode.acc_seg: 70.6324, aux.loss_ce: 0.1194, aux.acc_seg: 69.6807, loss: 0.3779 +2022-06-19 07:24:28,492 - mmseg - INFO - Iter [80700/160000] lr: 1.527e-05, eta: 6:05:36, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2525, decode.acc_seg: 72.0950, aux.loss_ce: 0.1175, aux.acc_seg: 71.1006, loss: 0.3700 +2022-06-19 07:24:42,068 - mmseg - INFO - Iter [80750/160000] lr: 1.526e-05, eta: 6:05:22, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2557, decode.acc_seg: 72.3727, aux.loss_ce: 0.1184, aux.acc_seg: 71.3138, loss: 0.3741 +2022-06-19 07:24:55,752 - mmseg - INFO - Iter [80800/160000] lr: 1.525e-05, eta: 6:05:08, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2705, decode.acc_seg: 73.4470, aux.loss_ce: 0.1265, aux.acc_seg: 72.2266, loss: 0.3970 +2022-06-19 07:25:11,551 - mmseg - INFO - Iter [80850/160000] lr: 1.524e-05, eta: 6:04:56, time: 0.316, data_time: 0.051, memory: 56924, decode.loss_ce: 0.2693, decode.acc_seg: 72.8049, aux.loss_ce: 0.1238, aux.acc_seg: 71.7440, loss: 0.3931 +2022-06-19 07:25:25,044 - mmseg - INFO - Iter [80900/160000] lr: 1.523e-05, eta: 6:04:42, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2627, decode.acc_seg: 72.4827, aux.loss_ce: 0.1220, aux.acc_seg: 71.4346, loss: 0.3846 +2022-06-19 07:25:38,567 - mmseg - INFO - Iter [80950/160000] lr: 1.522e-05, eta: 6:04:28, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2573, decode.acc_seg: 72.7867, aux.loss_ce: 0.1211, aux.acc_seg: 71.6119, loss: 0.3784 +2022-06-19 07:25:52,047 - mmseg - INFO - Saving checkpoint at 81000 iterations +2022-06-19 07:25:55,025 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 07:25:55,027 - mmseg - INFO - Iter [81000/160000] lr: 1.521e-05, eta: 6:04:17, time: 0.329, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2673, decode.acc_seg: 71.9788, aux.loss_ce: 0.1224, aux.acc_seg: 71.0808, loss: 0.3897 +2022-06-19 07:26:08,724 - mmseg - INFO - Iter [81050/160000] lr: 1.520e-05, eta: 6:04:03, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2894, decode.acc_seg: 72.1337, aux.loss_ce: 0.1326, aux.acc_seg: 71.1785, loss: 0.4220 +2022-06-19 07:26:22,262 - mmseg - INFO - Iter [81100/160000] lr: 1.519e-05, eta: 6:03:49, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2704, decode.acc_seg: 72.8531, aux.loss_ce: 0.1263, aux.acc_seg: 71.7919, loss: 0.3967 +2022-06-19 07:26:35,650 - mmseg - INFO - Iter [81150/160000] lr: 1.518e-05, eta: 6:03:34, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2515, decode.acc_seg: 72.8481, aux.loss_ce: 0.1159, aux.acc_seg: 71.8967, loss: 0.3674 +2022-06-19 07:26:49,379 - mmseg - INFO - Iter [81200/160000] lr: 1.517e-05, eta: 6:03:20, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2629, decode.acc_seg: 71.8616, aux.loss_ce: 0.1209, aux.acc_seg: 70.7943, loss: 0.3839 +2022-06-19 07:27:02,588 - mmseg - INFO - Iter [81250/160000] lr: 1.516e-05, eta: 6:03:06, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2717, decode.acc_seg: 71.9195, aux.loss_ce: 0.1257, aux.acc_seg: 70.9753, loss: 0.3974 +2022-06-19 07:27:15,919 - mmseg - INFO - Iter [81300/160000] lr: 1.515e-05, eta: 6:02:52, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2739, decode.acc_seg: 72.6608, aux.loss_ce: 0.1282, aux.acc_seg: 71.4110, loss: 0.4021 +2022-06-19 07:27:29,415 - mmseg - INFO - Iter [81350/160000] lr: 1.514e-05, eta: 6:02:37, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2488, decode.acc_seg: 72.0774, aux.loss_ce: 0.1155, aux.acc_seg: 71.0689, loss: 0.3642 +2022-06-19 07:27:43,100 - mmseg - INFO - Iter [81400/160000] lr: 1.513e-05, eta: 6:02:23, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2621, decode.acc_seg: 72.1585, aux.loss_ce: 0.1206, aux.acc_seg: 71.1024, loss: 0.3828 +2022-06-19 07:27:56,910 - mmseg - INFO - Iter [81450/160000] lr: 1.512e-05, eta: 6:02:10, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2742, decode.acc_seg: 71.9199, aux.loss_ce: 0.1268, aux.acc_seg: 70.6882, loss: 0.4010 +2022-06-19 07:28:10,406 - mmseg - INFO - Iter [81500/160000] lr: 1.511e-05, eta: 6:01:55, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2709, decode.acc_seg: 72.4787, aux.loss_ce: 0.1226, aux.acc_seg: 71.3975, loss: 0.3935 +2022-06-19 07:28:23,519 - mmseg - INFO - Iter [81550/160000] lr: 1.510e-05, eta: 6:01:41, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2522, decode.acc_seg: 72.5147, aux.loss_ce: 0.1177, aux.acc_seg: 71.4295, loss: 0.3699 +2022-06-19 07:28:36,853 - mmseg - INFO - Iter [81600/160000] lr: 1.509e-05, eta: 6:01:27, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2547, decode.acc_seg: 73.6244, aux.loss_ce: 0.1180, aux.acc_seg: 72.6741, loss: 0.3727 +2022-06-19 07:28:50,249 - mmseg - INFO - Iter [81650/160000] lr: 1.508e-05, eta: 6:01:12, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2598, decode.acc_seg: 72.6559, aux.loss_ce: 0.1228, aux.acc_seg: 71.4798, loss: 0.3827 +2022-06-19 07:29:03,788 - mmseg - INFO - Iter [81700/160000] lr: 1.507e-05, eta: 6:00:58, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2566, decode.acc_seg: 72.4537, aux.loss_ce: 0.1200, aux.acc_seg: 71.2355, loss: 0.3766 +2022-06-19 07:29:16,996 - mmseg - INFO - Iter [81750/160000] lr: 1.506e-05, eta: 6:00:44, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2687, decode.acc_seg: 73.0579, aux.loss_ce: 0.1248, aux.acc_seg: 72.0951, loss: 0.3935 +2022-06-19 07:29:30,581 - mmseg - INFO - Iter [81800/160000] lr: 1.505e-05, eta: 6:00:30, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2542, decode.acc_seg: 72.4685, aux.loss_ce: 0.1173, aux.acc_seg: 71.4947, loss: 0.3714 +2022-06-19 07:29:44,261 - mmseg - INFO - Iter [81850/160000] lr: 1.504e-05, eta: 6:00:16, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2609, decode.acc_seg: 71.3283, aux.loss_ce: 0.1208, aux.acc_seg: 70.3468, loss: 0.3818 +2022-06-19 07:29:57,746 - mmseg - INFO - Iter [81900/160000] lr: 1.503e-05, eta: 6:00:02, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2680, decode.acc_seg: 72.9596, aux.loss_ce: 0.1235, aux.acc_seg: 71.9483, loss: 0.3915 +2022-06-19 07:30:11,143 - mmseg - INFO - Iter [81950/160000] lr: 1.503e-05, eta: 5:59:47, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2668, decode.acc_seg: 71.9598, aux.loss_ce: 0.1233, aux.acc_seg: 70.8285, loss: 0.3901 +2022-06-19 07:30:24,464 - mmseg - INFO - Saving checkpoint at 82000 iterations +2022-06-19 07:30:27,374 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 07:30:27,375 - mmseg - INFO - Iter [82000/160000] lr: 1.502e-05, eta: 5:59:36, time: 0.325, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2470, decode.acc_seg: 72.1748, aux.loss_ce: 0.1139, aux.acc_seg: 71.2609, loss: 0.3609 +2022-06-19 07:30:40,905 - mmseg - INFO - Iter [82050/160000] lr: 1.501e-05, eta: 5:59:22, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2612, decode.acc_seg: 72.0371, aux.loss_ce: 0.1212, aux.acc_seg: 70.9882, loss: 0.3823 +2022-06-19 07:30:56,547 - mmseg - INFO - Iter [82100/160000] lr: 1.500e-05, eta: 5:59:10, time: 0.313, data_time: 0.050, memory: 56924, decode.loss_ce: 0.2617, decode.acc_seg: 70.8108, aux.loss_ce: 0.1205, aux.acc_seg: 69.9002, loss: 0.3822 +2022-06-19 07:31:09,931 - mmseg - INFO - Iter [82150/160000] lr: 1.499e-05, eta: 5:58:55, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2594, decode.acc_seg: 73.2840, aux.loss_ce: 0.1212, aux.acc_seg: 72.2065, loss: 0.3806 +2022-06-19 07:31:23,536 - mmseg - INFO - Iter [82200/160000] lr: 1.498e-05, eta: 5:58:41, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2590, decode.acc_seg: 71.3325, aux.loss_ce: 0.1226, aux.acc_seg: 70.2546, loss: 0.3816 +2022-06-19 07:31:36,752 - mmseg - INFO - Iter [82250/160000] lr: 1.497e-05, eta: 5:58:27, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2340, decode.acc_seg: 71.1867, aux.loss_ce: 0.1081, aux.acc_seg: 70.2903, loss: 0.3421 +2022-06-19 07:31:50,353 - mmseg - INFO - Iter [82300/160000] lr: 1.496e-05, eta: 5:58:13, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2476, decode.acc_seg: 73.9277, aux.loss_ce: 0.1138, aux.acc_seg: 73.0523, loss: 0.3613 +2022-06-19 07:32:03,653 - mmseg - INFO - Iter [82350/160000] lr: 1.495e-05, eta: 5:57:58, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2382, decode.acc_seg: 72.0401, aux.loss_ce: 0.1117, aux.acc_seg: 71.0381, loss: 0.3499 +2022-06-19 07:32:17,014 - mmseg - INFO - Iter [82400/160000] lr: 1.494e-05, eta: 5:57:44, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2369, decode.acc_seg: 73.2057, aux.loss_ce: 0.1089, aux.acc_seg: 72.3568, loss: 0.3458 +2022-06-19 07:32:30,648 - mmseg - INFO - Iter [82450/160000] lr: 1.493e-05, eta: 5:57:30, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2546, decode.acc_seg: 72.1798, aux.loss_ce: 0.1182, aux.acc_seg: 71.1968, loss: 0.3728 +2022-06-19 07:32:43,884 - mmseg - INFO - Iter [82500/160000] lr: 1.492e-05, eta: 5:57:16, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2651, decode.acc_seg: 71.7388, aux.loss_ce: 0.1229, aux.acc_seg: 70.6887, loss: 0.3880 +2022-06-19 07:32:57,214 - mmseg - INFO - Iter [82550/160000] lr: 1.491e-05, eta: 5:57:01, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2431, decode.acc_seg: 72.0894, aux.loss_ce: 0.1135, aux.acc_seg: 71.1298, loss: 0.3567 +2022-06-19 07:33:10,561 - mmseg - INFO - Iter [82600/160000] lr: 1.490e-05, eta: 5:56:47, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2515, decode.acc_seg: 72.4170, aux.loss_ce: 0.1165, aux.acc_seg: 71.3356, loss: 0.3681 +2022-06-19 07:33:23,929 - mmseg - INFO - Iter [82650/160000] lr: 1.489e-05, eta: 5:56:33, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2651, decode.acc_seg: 72.1038, aux.loss_ce: 0.1242, aux.acc_seg: 71.0246, loss: 0.3894 +2022-06-19 07:33:37,460 - mmseg - INFO - Iter [82700/160000] lr: 1.488e-05, eta: 5:56:19, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2673, decode.acc_seg: 72.9841, aux.loss_ce: 0.1248, aux.acc_seg: 71.9381, loss: 0.3921 +2022-06-19 07:33:51,236 - mmseg - INFO - Iter [82750/160000] lr: 1.487e-05, eta: 5:56:05, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2738, decode.acc_seg: 73.9025, aux.loss_ce: 0.1266, aux.acc_seg: 72.8999, loss: 0.4004 +2022-06-19 07:34:04,529 - mmseg - INFO - Iter [82800/160000] lr: 1.486e-05, eta: 5:55:51, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2687, decode.acc_seg: 72.7961, aux.loss_ce: 0.1241, aux.acc_seg: 71.7207, loss: 0.3928 +2022-06-19 07:34:18,005 - mmseg - INFO - Iter [82850/160000] lr: 1.485e-05, eta: 5:55:36, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2711, decode.acc_seg: 73.6393, aux.loss_ce: 0.1265, aux.acc_seg: 72.3520, loss: 0.3975 +2022-06-19 07:34:31,560 - mmseg - INFO - Iter [82900/160000] lr: 1.484e-05, eta: 5:55:22, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2590, decode.acc_seg: 73.6666, aux.loss_ce: 0.1213, aux.acc_seg: 72.5969, loss: 0.3802 +2022-06-19 07:34:44,936 - mmseg - INFO - Iter [82950/160000] lr: 1.483e-05, eta: 5:55:08, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2678, decode.acc_seg: 73.6389, aux.loss_ce: 0.1234, aux.acc_seg: 72.6598, loss: 0.3912 +2022-06-19 07:34:58,410 - mmseg - INFO - Saving checkpoint at 83000 iterations +2022-06-19 07:35:01,359 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 07:35:01,359 - mmseg - INFO - Iter [83000/160000] lr: 1.482e-05, eta: 5:54:57, time: 0.329, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2447, decode.acc_seg: 71.1333, aux.loss_ce: 0.1127, aux.acc_seg: 70.1971, loss: 0.3574 +2022-06-19 07:35:14,855 - mmseg - INFO - Iter [83050/160000] lr: 1.481e-05, eta: 5:54:43, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2506, decode.acc_seg: 72.4008, aux.loss_ce: 0.1156, aux.acc_seg: 71.4118, loss: 0.3662 +2022-06-19 07:35:28,337 - mmseg - INFO - Iter [83100/160000] lr: 1.480e-05, eta: 5:54:28, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2430, decode.acc_seg: 73.6282, aux.loss_ce: 0.1155, aux.acc_seg: 72.4156, loss: 0.3585 +2022-06-19 07:35:41,720 - mmseg - INFO - Iter [83150/160000] lr: 1.479e-05, eta: 5:54:14, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2518, decode.acc_seg: 72.4659, aux.loss_ce: 0.1163, aux.acc_seg: 71.4817, loss: 0.3681 +2022-06-19 07:35:55,114 - mmseg - INFO - Iter [83200/160000] lr: 1.478e-05, eta: 5:54:00, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2502, decode.acc_seg: 72.4173, aux.loss_ce: 0.1167, aux.acc_seg: 71.4175, loss: 0.3668 +2022-06-19 07:36:08,682 - mmseg - INFO - Iter [83250/160000] lr: 1.477e-05, eta: 5:53:46, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2671, decode.acc_seg: 73.2823, aux.loss_ce: 0.1240, aux.acc_seg: 72.0703, loss: 0.3911 +2022-06-19 07:36:22,280 - mmseg - INFO - Iter [83300/160000] lr: 1.477e-05, eta: 5:53:32, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2513, decode.acc_seg: 71.6516, aux.loss_ce: 0.1180, aux.acc_seg: 70.5361, loss: 0.3693 +2022-06-19 07:36:35,765 - mmseg - INFO - Iter [83350/160000] lr: 1.476e-05, eta: 5:53:18, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2542, decode.acc_seg: 72.1796, aux.loss_ce: 0.1183, aux.acc_seg: 71.0970, loss: 0.3726 +2022-06-19 07:36:51,480 - mmseg - INFO - Iter [83400/160000] lr: 1.475e-05, eta: 5:53:06, time: 0.314, data_time: 0.050, memory: 56924, decode.loss_ce: 0.2596, decode.acc_seg: 72.9260, aux.loss_ce: 0.1224, aux.acc_seg: 71.6999, loss: 0.3820 +2022-06-19 07:37:04,741 - mmseg - INFO - Iter [83450/160000] lr: 1.474e-05, eta: 5:52:51, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2571, decode.acc_seg: 72.9200, aux.loss_ce: 0.1195, aux.acc_seg: 71.9238, loss: 0.3766 +2022-06-19 07:37:18,415 - mmseg - INFO - Iter [83500/160000] lr: 1.473e-05, eta: 5:52:37, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2577, decode.acc_seg: 70.5792, aux.loss_ce: 0.1198, aux.acc_seg: 69.5850, loss: 0.3775 +2022-06-19 07:37:31,979 - mmseg - INFO - Iter [83550/160000] lr: 1.472e-05, eta: 5:52:23, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2547, decode.acc_seg: 71.9802, aux.loss_ce: 0.1187, aux.acc_seg: 70.9197, loss: 0.3734 +2022-06-19 07:37:45,414 - mmseg - INFO - Iter [83600/160000] lr: 1.471e-05, eta: 5:52:09, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2468, decode.acc_seg: 72.8533, aux.loss_ce: 0.1145, aux.acc_seg: 71.9302, loss: 0.3614 +2022-06-19 07:37:58,612 - mmseg - INFO - Iter [83650/160000] lr: 1.470e-05, eta: 5:51:55, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2594, decode.acc_seg: 72.5777, aux.loss_ce: 0.1208, aux.acc_seg: 71.4782, loss: 0.3801 +2022-06-19 07:38:12,039 - mmseg - INFO - Iter [83700/160000] lr: 1.469e-05, eta: 5:51:40, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2451, decode.acc_seg: 73.2767, aux.loss_ce: 0.1139, aux.acc_seg: 72.2468, loss: 0.3590 +2022-06-19 07:38:25,833 - mmseg - INFO - Iter [83750/160000] lr: 1.468e-05, eta: 5:51:27, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2494, decode.acc_seg: 71.5126, aux.loss_ce: 0.1156, aux.acc_seg: 70.4658, loss: 0.3651 +2022-06-19 07:38:39,037 - mmseg - INFO - Iter [83800/160000] lr: 1.467e-05, eta: 5:51:12, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2591, decode.acc_seg: 72.4242, aux.loss_ce: 0.1190, aux.acc_seg: 71.5476, loss: 0.3781 +2022-06-19 07:38:52,463 - mmseg - INFO - Iter [83850/160000] lr: 1.466e-05, eta: 5:50:58, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2515, decode.acc_seg: 72.4264, aux.loss_ce: 0.1162, aux.acc_seg: 71.4385, loss: 0.3677 +2022-06-19 07:39:06,174 - mmseg - INFO - Iter [83900/160000] lr: 1.465e-05, eta: 5:50:44, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2442, decode.acc_seg: 73.1521, aux.loss_ce: 0.1136, aux.acc_seg: 72.2088, loss: 0.3578 +2022-06-19 07:39:19,630 - mmseg - INFO - Iter [83950/160000] lr: 1.464e-05, eta: 5:50:30, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2503, decode.acc_seg: 71.3489, aux.loss_ce: 0.1165, aux.acc_seg: 70.3629, loss: 0.3669 +2022-06-19 07:39:33,142 - mmseg - INFO - Saving checkpoint at 84000 iterations +2022-06-19 07:39:36,039 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 07:39:36,040 - mmseg - INFO - Iter [84000/160000] lr: 1.463e-05, eta: 5:50:18, time: 0.328, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2451, decode.acc_seg: 72.9858, aux.loss_ce: 0.1143, aux.acc_seg: 72.0375, loss: 0.3594 +2022-06-19 07:39:49,338 - mmseg - INFO - Iter [84050/160000] lr: 1.462e-05, eta: 5:50:04, time: 0.266, data_time: 0.006, memory: 56924, decode.loss_ce: 0.2515, decode.acc_seg: 72.7417, aux.loss_ce: 0.1172, aux.acc_seg: 71.7387, loss: 0.3687 +2022-06-19 07:40:02,701 - mmseg - INFO - Iter [84100/160000] lr: 1.461e-05, eta: 5:49:50, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2439, decode.acc_seg: 72.4570, aux.loss_ce: 0.1154, aux.acc_seg: 71.3849, loss: 0.3593 +2022-06-19 07:40:16,221 - mmseg - INFO - Iter [84150/160000] lr: 1.460e-05, eta: 5:49:36, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2411, decode.acc_seg: 73.6726, aux.loss_ce: 0.1127, aux.acc_seg: 72.5771, loss: 0.3538 +2022-06-19 07:40:29,824 - mmseg - INFO - Iter [84200/160000] lr: 1.459e-05, eta: 5:49:22, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2583, decode.acc_seg: 72.9450, aux.loss_ce: 0.1204, aux.acc_seg: 71.8247, loss: 0.3787 +2022-06-19 07:40:43,322 - mmseg - INFO - Iter [84250/160000] lr: 1.458e-05, eta: 5:49:08, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2484, decode.acc_seg: 70.9138, aux.loss_ce: 0.1160, aux.acc_seg: 69.7463, loss: 0.3644 +2022-06-19 07:40:56,780 - mmseg - INFO - Iter [84300/160000] lr: 1.457e-05, eta: 5:48:53, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2437, decode.acc_seg: 73.1672, aux.loss_ce: 0.1147, aux.acc_seg: 72.0800, loss: 0.3584 +2022-06-19 07:41:10,006 - mmseg - INFO - Iter [84350/160000] lr: 1.456e-05, eta: 5:48:39, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2776, decode.acc_seg: 72.5172, aux.loss_ce: 0.1304, aux.acc_seg: 71.3422, loss: 0.4080 +2022-06-19 07:41:23,399 - mmseg - INFO - Iter [84400/160000] lr: 1.455e-05, eta: 5:48:25, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2596, decode.acc_seg: 72.5217, aux.loss_ce: 0.1224, aux.acc_seg: 71.4649, loss: 0.3819 +2022-06-19 07:41:36,855 - mmseg - INFO - Iter [84450/160000] lr: 1.454e-05, eta: 5:48:11, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2434, decode.acc_seg: 73.8975, aux.loss_ce: 0.1135, aux.acc_seg: 72.8314, loss: 0.3569 +2022-06-19 07:41:50,237 - mmseg - INFO - Iter [84500/160000] lr: 1.453e-05, eta: 5:47:56, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2516, decode.acc_seg: 72.0582, aux.loss_ce: 0.1181, aux.acc_seg: 71.1336, loss: 0.3697 +2022-06-19 07:42:03,700 - mmseg - INFO - Iter [84550/160000] lr: 1.452e-05, eta: 5:47:42, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2530, decode.acc_seg: 73.2512, aux.loss_ce: 0.1176, aux.acc_seg: 72.2263, loss: 0.3706 +2022-06-19 07:42:17,015 - mmseg - INFO - Iter [84600/160000] lr: 1.451e-05, eta: 5:47:28, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2479, decode.acc_seg: 74.0012, aux.loss_ce: 0.1148, aux.acc_seg: 73.0576, loss: 0.3626 +2022-06-19 07:42:32,554 - mmseg - INFO - Iter [84650/160000] lr: 1.451e-05, eta: 5:47:16, time: 0.311, data_time: 0.051, memory: 56924, decode.loss_ce: 0.2440, decode.acc_seg: 72.4058, aux.loss_ce: 0.1127, aux.acc_seg: 71.4462, loss: 0.3567 +2022-06-19 07:42:45,732 - mmseg - INFO - Iter [84700/160000] lr: 1.450e-05, eta: 5:47:01, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2501, decode.acc_seg: 73.6360, aux.loss_ce: 0.1184, aux.acc_seg: 72.3601, loss: 0.3685 +2022-06-19 07:42:59,499 - mmseg - INFO - Iter [84750/160000] lr: 1.449e-05, eta: 5:46:47, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2633, decode.acc_seg: 72.5543, aux.loss_ce: 0.1225, aux.acc_seg: 71.4911, loss: 0.3858 +2022-06-19 07:43:12,966 - mmseg - INFO - Iter [84800/160000] lr: 1.448e-05, eta: 5:46:33, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2511, decode.acc_seg: 72.1954, aux.loss_ce: 0.1179, aux.acc_seg: 71.1062, loss: 0.3690 +2022-06-19 07:43:26,329 - mmseg - INFO - Iter [84850/160000] lr: 1.447e-05, eta: 5:46:19, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2291, decode.acc_seg: 72.3585, aux.loss_ce: 0.1082, aux.acc_seg: 71.3439, loss: 0.3373 +2022-06-19 07:43:39,458 - mmseg - INFO - Iter [84900/160000] lr: 1.446e-05, eta: 5:46:05, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2536, decode.acc_seg: 72.4385, aux.loss_ce: 0.1183, aux.acc_seg: 71.2701, loss: 0.3719 +2022-06-19 07:43:52,869 - mmseg - INFO - Iter [84950/160000] lr: 1.445e-05, eta: 5:45:50, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2592, decode.acc_seg: 71.8485, aux.loss_ce: 0.1203, aux.acc_seg: 70.7565, loss: 0.3794 +2022-06-19 07:44:06,139 - mmseg - INFO - Saving checkpoint at 85000 iterations +2022-06-19 07:44:09,122 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 07:44:09,122 - mmseg - INFO - Iter [85000/160000] lr: 1.444e-05, eta: 5:45:39, time: 0.325, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2657, decode.acc_seg: 72.8629, aux.loss_ce: 0.1223, aux.acc_seg: 71.9598, loss: 0.3881 +2022-06-19 07:44:22,641 - mmseg - INFO - Iter [85050/160000] lr: 1.443e-05, eta: 5:45:25, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2434, decode.acc_seg: 72.2184, aux.loss_ce: 0.1141, aux.acc_seg: 71.0598, loss: 0.3575 +2022-06-19 07:44:36,026 - mmseg - INFO - Iter [85100/160000] lr: 1.442e-05, eta: 5:45:10, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2435, decode.acc_seg: 73.7119, aux.loss_ce: 0.1140, aux.acc_seg: 72.6883, loss: 0.3574 +2022-06-19 07:44:49,431 - mmseg - INFO - Iter [85150/160000] lr: 1.441e-05, eta: 5:44:56, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2482, decode.acc_seg: 71.6262, aux.loss_ce: 0.1144, aux.acc_seg: 70.6742, loss: 0.3626 +2022-06-19 07:45:02,746 - mmseg - INFO - Iter [85200/160000] lr: 1.440e-05, eta: 5:44:42, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2353, decode.acc_seg: 73.1236, aux.loss_ce: 0.1115, aux.acc_seg: 71.9659, loss: 0.3469 +2022-06-19 07:45:16,296 - mmseg - INFO - Iter [85250/160000] lr: 1.439e-05, eta: 5:44:28, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2517, decode.acc_seg: 71.2977, aux.loss_ce: 0.1176, aux.acc_seg: 70.1930, loss: 0.3693 +2022-06-19 07:45:29,704 - mmseg - INFO - Iter [85300/160000] lr: 1.438e-05, eta: 5:44:14, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2474, decode.acc_seg: 73.3357, aux.loss_ce: 0.1135, aux.acc_seg: 72.3758, loss: 0.3609 +2022-06-19 07:45:43,242 - mmseg - INFO - Iter [85350/160000] lr: 1.437e-05, eta: 5:44:00, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2444, decode.acc_seg: 73.2969, aux.loss_ce: 0.1138, aux.acc_seg: 72.3401, loss: 0.3582 +2022-06-19 07:45:56,643 - mmseg - INFO - Iter [85400/160000] lr: 1.436e-05, eta: 5:43:45, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2592, decode.acc_seg: 71.3483, aux.loss_ce: 0.1182, aux.acc_seg: 70.3745, loss: 0.3773 +2022-06-19 07:46:09,947 - mmseg - INFO - Iter [85450/160000] lr: 1.435e-05, eta: 5:43:31, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2411, decode.acc_seg: 72.1278, aux.loss_ce: 0.1126, aux.acc_seg: 71.1667, loss: 0.3538 +2022-06-19 07:46:23,394 - mmseg - INFO - Iter [85500/160000] lr: 1.434e-05, eta: 5:43:17, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2716, decode.acc_seg: 71.9770, aux.loss_ce: 0.1263, aux.acc_seg: 70.8381, loss: 0.3979 +2022-06-19 07:46:36,661 - mmseg - INFO - Iter [85550/160000] lr: 1.433e-05, eta: 5:43:03, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2535, decode.acc_seg: 73.4091, aux.loss_ce: 0.1176, aux.acc_seg: 72.4276, loss: 0.3711 +2022-06-19 07:46:50,407 - mmseg - INFO - Iter [85600/160000] lr: 1.432e-05, eta: 5:42:49, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2569, decode.acc_seg: 72.1961, aux.loss_ce: 0.1165, aux.acc_seg: 71.3649, loss: 0.3734 +2022-06-19 07:47:03,730 - mmseg - INFO - Iter [85650/160000] lr: 1.431e-05, eta: 5:42:35, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2425, decode.acc_seg: 72.5409, aux.loss_ce: 0.1125, aux.acc_seg: 71.5805, loss: 0.3550 +2022-06-19 07:47:17,262 - mmseg - INFO - Iter [85700/160000] lr: 1.430e-05, eta: 5:42:21, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2505, decode.acc_seg: 72.3347, aux.loss_ce: 0.1182, aux.acc_seg: 71.1947, loss: 0.3686 +2022-06-19 07:47:31,055 - mmseg - INFO - Iter [85750/160000] lr: 1.429e-05, eta: 5:42:07, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2591, decode.acc_seg: 73.0639, aux.loss_ce: 0.1220, aux.acc_seg: 71.9293, loss: 0.3811 +2022-06-19 07:47:44,202 - mmseg - INFO - Iter [85800/160000] lr: 1.428e-05, eta: 5:41:52, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2500, decode.acc_seg: 72.3331, aux.loss_ce: 0.1162, aux.acc_seg: 71.1684, loss: 0.3663 +2022-06-19 07:47:57,768 - mmseg - INFO - Iter [85850/160000] lr: 1.427e-05, eta: 5:41:38, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2643, decode.acc_seg: 73.4794, aux.loss_ce: 0.1254, aux.acc_seg: 72.2013, loss: 0.3897 +2022-06-19 07:48:13,552 - mmseg - INFO - Iter [85900/160000] lr: 1.426e-05, eta: 5:41:26, time: 0.316, data_time: 0.050, memory: 56924, decode.loss_ce: 0.2631, decode.acc_seg: 73.2283, aux.loss_ce: 0.1216, aux.acc_seg: 72.1768, loss: 0.3847 +2022-06-19 07:48:27,063 - mmseg - INFO - Iter [85950/160000] lr: 1.426e-05, eta: 5:41:12, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2511, decode.acc_seg: 70.6753, aux.loss_ce: 0.1181, aux.acc_seg: 69.5059, loss: 0.3692 +2022-06-19 07:48:40,477 - mmseg - INFO - Saving checkpoint at 86000 iterations +2022-06-19 07:48:43,380 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 07:48:43,381 - mmseg - INFO - Iter [86000/160000] lr: 1.425e-05, eta: 5:41:00, time: 0.326, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2389, decode.acc_seg: 72.4986, aux.loss_ce: 0.1101, aux.acc_seg: 71.6545, loss: 0.3490 +2022-06-19 07:48:56,996 - mmseg - INFO - Iter [86050/160000] lr: 1.424e-05, eta: 5:40:46, time: 0.272, data_time: 0.006, memory: 56924, decode.loss_ce: 0.2456, decode.acc_seg: 73.0115, aux.loss_ce: 0.1139, aux.acc_seg: 72.1203, loss: 0.3595 +2022-06-19 07:49:10,144 - mmseg - INFO - Iter [86100/160000] lr: 1.423e-05, eta: 5:40:32, time: 0.263, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2471, decode.acc_seg: 71.2044, aux.loss_ce: 0.1154, aux.acc_seg: 70.0454, loss: 0.3626 +2022-06-19 07:49:23,675 - mmseg - INFO - Iter [86150/160000] lr: 1.422e-05, eta: 5:40:18, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2356, decode.acc_seg: 73.7753, aux.loss_ce: 0.1104, aux.acc_seg: 72.6750, loss: 0.3461 +2022-06-19 07:49:36,959 - mmseg - INFO - Iter [86200/160000] lr: 1.421e-05, eta: 5:40:04, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2552, decode.acc_seg: 73.1535, aux.loss_ce: 0.1186, aux.acc_seg: 72.2186, loss: 0.3738 +2022-06-19 07:49:50,351 - mmseg - INFO - Iter [86250/160000] lr: 1.420e-05, eta: 5:39:49, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2442, decode.acc_seg: 72.5400, aux.loss_ce: 0.1143, aux.acc_seg: 71.4560, loss: 0.3585 +2022-06-19 07:50:03,602 - mmseg - INFO - Iter [86300/160000] lr: 1.419e-05, eta: 5:39:35, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2520, decode.acc_seg: 71.2287, aux.loss_ce: 0.1175, aux.acc_seg: 70.2369, loss: 0.3696 +2022-06-19 07:50:16,856 - mmseg - INFO - Iter [86350/160000] lr: 1.418e-05, eta: 5:39:21, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2503, decode.acc_seg: 71.7461, aux.loss_ce: 0.1162, aux.acc_seg: 70.5940, loss: 0.3665 +2022-06-19 07:50:30,321 - mmseg - INFO - Iter [86400/160000] lr: 1.417e-05, eta: 5:39:07, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2586, decode.acc_seg: 72.5521, aux.loss_ce: 0.1210, aux.acc_seg: 71.3269, loss: 0.3796 +2022-06-19 07:50:43,616 - mmseg - INFO - Iter [86450/160000] lr: 1.416e-05, eta: 5:38:52, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2386, decode.acc_seg: 73.7585, aux.loss_ce: 0.1109, aux.acc_seg: 72.7728, loss: 0.3495 +2022-06-19 07:50:57,135 - mmseg - INFO - Iter [86500/160000] lr: 1.415e-05, eta: 5:38:38, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2529, decode.acc_seg: 73.1230, aux.loss_ce: 0.1164, aux.acc_seg: 72.1443, loss: 0.3693 +2022-06-19 07:51:10,489 - mmseg - INFO - Iter [86550/160000] lr: 1.414e-05, eta: 5:38:24, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2723, decode.acc_seg: 72.0100, aux.loss_ce: 0.1242, aux.acc_seg: 71.0429, loss: 0.3965 +2022-06-19 07:51:24,050 - mmseg - INFO - Iter [86600/160000] lr: 1.413e-05, eta: 5:38:10, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2693, decode.acc_seg: 72.4987, aux.loss_ce: 0.1254, aux.acc_seg: 71.3401, loss: 0.3946 +2022-06-19 07:51:37,668 - mmseg - INFO - Iter [86650/160000] lr: 1.412e-05, eta: 5:37:56, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2701, decode.acc_seg: 71.0524, aux.loss_ce: 0.1264, aux.acc_seg: 69.9036, loss: 0.3965 +2022-06-19 07:51:51,434 - mmseg - INFO - Iter [86700/160000] lr: 1.411e-05, eta: 5:37:42, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2541, decode.acc_seg: 72.4312, aux.loss_ce: 0.1193, aux.acc_seg: 71.3402, loss: 0.3734 +2022-06-19 07:52:04,964 - mmseg - INFO - Iter [86750/160000] lr: 1.410e-05, eta: 5:37:28, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2583, decode.acc_seg: 73.6488, aux.loss_ce: 0.1189, aux.acc_seg: 72.6573, loss: 0.3772 +2022-06-19 07:52:18,665 - mmseg - INFO - Iter [86800/160000] lr: 1.409e-05, eta: 5:37:14, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2359, decode.acc_seg: 73.7559, aux.loss_ce: 0.1099, aux.acc_seg: 72.8028, loss: 0.3458 +2022-06-19 07:52:32,326 - mmseg - INFO - Iter [86850/160000] lr: 1.408e-05, eta: 5:37:00, time: 0.273, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2414, decode.acc_seg: 74.0905, aux.loss_ce: 0.1111, aux.acc_seg: 73.2812, loss: 0.3525 +2022-06-19 07:52:45,664 - mmseg - INFO - Iter [86900/160000] lr: 1.407e-05, eta: 5:36:46, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2590, decode.acc_seg: 72.6524, aux.loss_ce: 0.1207, aux.acc_seg: 71.4924, loss: 0.3797 +2022-06-19 07:52:59,019 - mmseg - INFO - Iter [86950/160000] lr: 1.406e-05, eta: 5:36:32, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2529, decode.acc_seg: 73.4255, aux.loss_ce: 0.1173, aux.acc_seg: 72.3357, loss: 0.3702 +2022-06-19 07:53:12,522 - mmseg - INFO - Saving checkpoint at 87000 iterations +2022-06-19 07:53:15,401 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 07:53:15,401 - mmseg - INFO - Iter [87000/160000] lr: 1.405e-05, eta: 5:36:20, time: 0.328, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2584, decode.acc_seg: 72.1284, aux.loss_ce: 0.1200, aux.acc_seg: 71.1063, loss: 0.3783 +2022-06-19 07:53:28,688 - mmseg - INFO - Iter [87050/160000] lr: 1.404e-05, eta: 5:36:06, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2537, decode.acc_seg: 74.4444, aux.loss_ce: 0.1190, aux.acc_seg: 73.3748, loss: 0.3727 +2022-06-19 07:53:42,353 - mmseg - INFO - Iter [87100/160000] lr: 1.403e-05, eta: 5:35:52, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2437, decode.acc_seg: 73.1060, aux.loss_ce: 0.1135, aux.acc_seg: 72.0306, loss: 0.3572 +2022-06-19 07:53:58,011 - mmseg - INFO - Iter [87150/160000] lr: 1.402e-05, eta: 5:35:40, time: 0.313, data_time: 0.049, memory: 56924, decode.loss_ce: 0.2437, decode.acc_seg: 73.1538, aux.loss_ce: 0.1128, aux.acc_seg: 72.1755, loss: 0.3565 +2022-06-19 07:54:11,280 - mmseg - INFO - Iter [87200/160000] lr: 1.401e-05, eta: 5:35:25, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2478, decode.acc_seg: 73.8673, aux.loss_ce: 0.1143, aux.acc_seg: 72.8945, loss: 0.3621 +2022-06-19 07:54:24,870 - mmseg - INFO - Iter [87250/160000] lr: 1.400e-05, eta: 5:35:11, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2305, decode.acc_seg: 72.3450, aux.loss_ce: 0.1080, aux.acc_seg: 71.3690, loss: 0.3385 +2022-06-19 07:54:38,200 - mmseg - INFO - Iter [87300/160000] lr: 1.400e-05, eta: 5:34:57, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2532, decode.acc_seg: 72.7743, aux.loss_ce: 0.1175, aux.acc_seg: 71.6981, loss: 0.3707 +2022-06-19 07:54:52,021 - mmseg - INFO - Iter [87350/160000] lr: 1.399e-05, eta: 5:34:43, time: 0.276, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2462, decode.acc_seg: 72.9711, aux.loss_ce: 0.1140, aux.acc_seg: 71.9875, loss: 0.3602 +2022-06-19 07:55:05,419 - mmseg - INFO - Iter [87400/160000] lr: 1.398e-05, eta: 5:34:29, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2425, decode.acc_seg: 72.9250, aux.loss_ce: 0.1122, aux.acc_seg: 71.9104, loss: 0.3548 +2022-06-19 07:55:18,811 - mmseg - INFO - Iter [87450/160000] lr: 1.397e-05, eta: 5:34:15, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2526, decode.acc_seg: 72.0030, aux.loss_ce: 0.1162, aux.acc_seg: 70.9534, loss: 0.3687 +2022-06-19 07:55:32,335 - mmseg - INFO - Iter [87500/160000] lr: 1.396e-05, eta: 5:34:01, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2466, decode.acc_seg: 73.8901, aux.loss_ce: 0.1153, aux.acc_seg: 72.7593, loss: 0.3619 +2022-06-19 07:55:45,895 - mmseg - INFO - Iter [87550/160000] lr: 1.395e-05, eta: 5:33:47, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2508, decode.acc_seg: 72.7856, aux.loss_ce: 0.1154, aux.acc_seg: 71.6869, loss: 0.3662 +2022-06-19 07:55:59,261 - mmseg - INFO - Iter [87600/160000] lr: 1.394e-05, eta: 5:33:33, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2448, decode.acc_seg: 71.9660, aux.loss_ce: 0.1148, aux.acc_seg: 70.9125, loss: 0.3596 +2022-06-19 07:56:12,913 - mmseg - INFO - Iter [87650/160000] lr: 1.393e-05, eta: 5:33:19, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2538, decode.acc_seg: 72.9583, aux.loss_ce: 0.1168, aux.acc_seg: 72.0087, loss: 0.3706 +2022-06-19 07:56:26,583 - mmseg - INFO - Iter [87700/160000] lr: 1.392e-05, eta: 5:33:05, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2492, decode.acc_seg: 74.3573, aux.loss_ce: 0.1162, aux.acc_seg: 73.2799, loss: 0.3654 +2022-06-19 07:56:40,142 - mmseg - INFO - Iter [87750/160000] lr: 1.391e-05, eta: 5:32:51, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2496, decode.acc_seg: 74.8713, aux.loss_ce: 0.1173, aux.acc_seg: 73.7121, loss: 0.3669 +2022-06-19 07:56:53,854 - mmseg - INFO - Iter [87800/160000] lr: 1.390e-05, eta: 5:32:37, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2582, decode.acc_seg: 72.9589, aux.loss_ce: 0.1199, aux.acc_seg: 71.8171, loss: 0.3781 +2022-06-19 07:57:07,608 - mmseg - INFO - Iter [87850/160000] lr: 1.389e-05, eta: 5:32:23, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2536, decode.acc_seg: 72.0011, aux.loss_ce: 0.1182, aux.acc_seg: 70.9457, loss: 0.3718 +2022-06-19 07:57:21,255 - mmseg - INFO - Iter [87900/160000] lr: 1.388e-05, eta: 5:32:09, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2776, decode.acc_seg: 72.2973, aux.loss_ce: 0.1292, aux.acc_seg: 71.0540, loss: 0.4068 +2022-06-19 07:57:34,699 - mmseg - INFO - Iter [87950/160000] lr: 1.387e-05, eta: 5:31:55, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2558, decode.acc_seg: 72.5620, aux.loss_ce: 0.1180, aux.acc_seg: 71.5435, loss: 0.3738 +2022-06-19 07:57:48,078 - mmseg - INFO - Saving checkpoint at 88000 iterations +2022-06-19 07:57:51,036 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 07:57:51,036 - mmseg - INFO - Iter [88000/160000] lr: 1.386e-05, eta: 5:31:43, time: 0.327, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2473, decode.acc_seg: 73.3503, aux.loss_ce: 0.1157, aux.acc_seg: 72.3692, loss: 0.3629 +2022-06-19 07:58:04,409 - mmseg - INFO - Iter [88050/160000] lr: 1.385e-05, eta: 5:31:29, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2475, decode.acc_seg: 73.0573, aux.loss_ce: 0.1136, aux.acc_seg: 72.1884, loss: 0.3611 +2022-06-19 07:58:17,973 - mmseg - INFO - Iter [88100/160000] lr: 1.384e-05, eta: 5:31:15, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2628, decode.acc_seg: 72.3073, aux.loss_ce: 0.1216, aux.acc_seg: 71.2937, loss: 0.3844 +2022-06-19 07:58:31,419 - mmseg - INFO - Iter [88150/160000] lr: 1.383e-05, eta: 5:31:01, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2502, decode.acc_seg: 71.5785, aux.loss_ce: 0.1175, aux.acc_seg: 70.4796, loss: 0.3677 +2022-06-19 07:58:45,106 - mmseg - INFO - Iter [88200/160000] lr: 1.382e-05, eta: 5:30:47, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2381, decode.acc_seg: 73.7326, aux.loss_ce: 0.1122, aux.acc_seg: 72.6404, loss: 0.3502 +2022-06-19 07:58:58,519 - mmseg - INFO - Iter [88250/160000] lr: 1.381e-05, eta: 5:30:32, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2502, decode.acc_seg: 72.2049, aux.loss_ce: 0.1177, aux.acc_seg: 71.1628, loss: 0.3680 +2022-06-19 07:59:11,973 - mmseg - INFO - Iter [88300/160000] lr: 1.380e-05, eta: 5:30:18, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2464, decode.acc_seg: 72.1590, aux.loss_ce: 0.1166, aux.acc_seg: 71.0648, loss: 0.3630 +2022-06-19 07:59:25,598 - mmseg - INFO - Iter [88350/160000] lr: 1.379e-05, eta: 5:30:04, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2554, decode.acc_seg: 72.2521, aux.loss_ce: 0.1205, aux.acc_seg: 71.0800, loss: 0.3759 +2022-06-19 07:59:38,959 - mmseg - INFO - Iter [88400/160000] lr: 1.378e-05, eta: 5:29:50, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2588, decode.acc_seg: 71.9218, aux.loss_ce: 0.1202, aux.acc_seg: 70.8903, loss: 0.3790 +2022-06-19 07:59:54,895 - mmseg - INFO - Iter [88450/160000] lr: 1.377e-05, eta: 5:29:38, time: 0.318, data_time: 0.050, memory: 56924, decode.loss_ce: 0.2554, decode.acc_seg: 73.7536, aux.loss_ce: 0.1199, aux.acc_seg: 72.6456, loss: 0.3753 +2022-06-19 08:00:08,464 - mmseg - INFO - Iter [88500/160000] lr: 1.376e-05, eta: 5:29:24, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2546, decode.acc_seg: 73.1626, aux.loss_ce: 0.1181, aux.acc_seg: 72.2864, loss: 0.3727 +2022-06-19 08:00:21,781 - mmseg - INFO - Iter [88550/160000] lr: 1.375e-05, eta: 5:29:10, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2402, decode.acc_seg: 73.7045, aux.loss_ce: 0.1122, aux.acc_seg: 72.4760, loss: 0.3523 +2022-06-19 08:00:35,458 - mmseg - INFO - Iter [88600/160000] lr: 1.374e-05, eta: 5:28:56, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2457, decode.acc_seg: 72.6349, aux.loss_ce: 0.1153, aux.acc_seg: 71.7052, loss: 0.3611 +2022-06-19 08:00:48,857 - mmseg - INFO - Iter [88650/160000] lr: 1.374e-05, eta: 5:28:42, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2489, decode.acc_seg: 71.4777, aux.loss_ce: 0.1181, aux.acc_seg: 70.2087, loss: 0.3670 +2022-06-19 08:01:02,502 - mmseg - INFO - Iter [88700/160000] lr: 1.373e-05, eta: 5:28:28, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2426, decode.acc_seg: 72.1769, aux.loss_ce: 0.1127, aux.acc_seg: 71.3066, loss: 0.3553 +2022-06-19 08:01:16,092 - mmseg - INFO - Iter [88750/160000] lr: 1.372e-05, eta: 5:28:14, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2451, decode.acc_seg: 72.4638, aux.loss_ce: 0.1132, aux.acc_seg: 71.4721, loss: 0.3582 +2022-06-19 08:01:29,478 - mmseg - INFO - Iter [88800/160000] lr: 1.371e-05, eta: 5:28:00, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2579, decode.acc_seg: 73.0566, aux.loss_ce: 0.1198, aux.acc_seg: 72.0638, loss: 0.3777 +2022-06-19 08:01:43,039 - mmseg - INFO - Iter [88850/160000] lr: 1.370e-05, eta: 5:27:46, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2536, decode.acc_seg: 72.8724, aux.loss_ce: 0.1184, aux.acc_seg: 71.7747, loss: 0.3720 +2022-06-19 08:01:56,577 - mmseg - INFO - Iter [88900/160000] lr: 1.369e-05, eta: 5:27:32, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2432, decode.acc_seg: 73.4050, aux.loss_ce: 0.1143, aux.acc_seg: 72.3758, loss: 0.3574 +2022-06-19 08:02:10,257 - mmseg - INFO - Iter [88950/160000] lr: 1.368e-05, eta: 5:27:18, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2749, decode.acc_seg: 72.1432, aux.loss_ce: 0.1275, aux.acc_seg: 71.0691, loss: 0.4024 +2022-06-19 08:02:23,667 - mmseg - INFO - Saving checkpoint at 89000 iterations +2022-06-19 08:02:26,573 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 08:02:26,573 - mmseg - INFO - Iter [89000/160000] lr: 1.367e-05, eta: 5:27:06, time: 0.327, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2608, decode.acc_seg: 71.7871, aux.loss_ce: 0.1202, aux.acc_seg: 70.8263, loss: 0.3810 +2022-06-19 08:02:39,940 - mmseg - INFO - Iter [89050/160000] lr: 1.366e-05, eta: 5:26:52, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2390, decode.acc_seg: 72.9671, aux.loss_ce: 0.1134, aux.acc_seg: 71.8967, loss: 0.3524 +2022-06-19 08:02:53,168 - mmseg - INFO - Iter [89100/160000] lr: 1.365e-05, eta: 5:26:37, time: 0.264, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2420, decode.acc_seg: 72.5819, aux.loss_ce: 0.1128, aux.acc_seg: 71.6142, loss: 0.3548 +2022-06-19 08:03:06,656 - mmseg - INFO - Iter [89150/160000] lr: 1.364e-05, eta: 5:26:23, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2546, decode.acc_seg: 72.1171, aux.loss_ce: 0.1189, aux.acc_seg: 71.0432, loss: 0.3735 +2022-06-19 08:03:20,188 - mmseg - INFO - Iter [89200/160000] lr: 1.363e-05, eta: 5:26:09, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2300, decode.acc_seg: 74.7208, aux.loss_ce: 0.1072, aux.acc_seg: 73.7819, loss: 0.3372 +2022-06-19 08:03:33,680 - mmseg - INFO - Iter [89250/160000] lr: 1.362e-05, eta: 5:25:55, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2463, decode.acc_seg: 74.0124, aux.loss_ce: 0.1135, aux.acc_seg: 73.0961, loss: 0.3598 +2022-06-19 08:03:47,135 - mmseg - INFO - Iter [89300/160000] lr: 1.361e-05, eta: 5:25:41, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2406, decode.acc_seg: 72.3680, aux.loss_ce: 0.1133, aux.acc_seg: 71.1991, loss: 0.3539 +2022-06-19 08:04:00,670 - mmseg - INFO - Iter [89350/160000] lr: 1.360e-05, eta: 5:25:27, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2316, decode.acc_seg: 73.4286, aux.loss_ce: 0.1088, aux.acc_seg: 72.5447, loss: 0.3404 +2022-06-19 08:04:14,287 - mmseg - INFO - Iter [89400/160000] lr: 1.359e-05, eta: 5:25:13, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2498, decode.acc_seg: 72.1820, aux.loss_ce: 0.1145, aux.acc_seg: 71.2077, loss: 0.3644 +2022-06-19 08:04:27,784 - mmseg - INFO - Iter [89450/160000] lr: 1.358e-05, eta: 5:24:59, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2554, decode.acc_seg: 71.9037, aux.loss_ce: 0.1197, aux.acc_seg: 70.8545, loss: 0.3751 +2022-06-19 08:04:41,307 - mmseg - INFO - Iter [89500/160000] lr: 1.357e-05, eta: 5:24:45, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2427, decode.acc_seg: 71.6450, aux.loss_ce: 0.1129, aux.acc_seg: 70.6809, loss: 0.3557 +2022-06-19 08:04:54,729 - mmseg - INFO - Iter [89550/160000] lr: 1.356e-05, eta: 5:24:31, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2561, decode.acc_seg: 72.7909, aux.loss_ce: 0.1186, aux.acc_seg: 71.7134, loss: 0.3747 +2022-06-19 08:05:08,147 - mmseg - INFO - Iter [89600/160000] lr: 1.355e-05, eta: 5:24:17, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2544, decode.acc_seg: 72.6752, aux.loss_ce: 0.1190, aux.acc_seg: 71.5901, loss: 0.3734 +2022-06-19 08:05:21,689 - mmseg - INFO - Iter [89650/160000] lr: 1.354e-05, eta: 5:24:03, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2398, decode.acc_seg: 71.6273, aux.loss_ce: 0.1122, aux.acc_seg: 70.5582, loss: 0.3520 +2022-06-19 08:05:37,517 - mmseg - INFO - Iter [89700/160000] lr: 1.353e-05, eta: 5:23:50, time: 0.317, data_time: 0.051, memory: 56924, decode.loss_ce: 0.2538, decode.acc_seg: 72.8209, aux.loss_ce: 0.1200, aux.acc_seg: 71.7350, loss: 0.3738 +2022-06-19 08:05:51,172 - mmseg - INFO - Iter [89750/160000] lr: 1.352e-05, eta: 5:23:36, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2311, decode.acc_seg: 74.1713, aux.loss_ce: 0.1074, aux.acc_seg: 73.2437, loss: 0.3386 +2022-06-19 08:06:04,752 - mmseg - INFO - Iter [89800/160000] lr: 1.351e-05, eta: 5:23:22, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2426, decode.acc_seg: 72.0354, aux.loss_ce: 0.1134, aux.acc_seg: 71.0870, loss: 0.3560 +2022-06-19 08:06:17,906 - mmseg - INFO - Iter [89850/160000] lr: 1.350e-05, eta: 5:23:08, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2312, decode.acc_seg: 72.3384, aux.loss_ce: 0.1087, aux.acc_seg: 71.3710, loss: 0.3399 +2022-06-19 08:06:31,403 - mmseg - INFO - Iter [89900/160000] lr: 1.349e-05, eta: 5:22:54, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2479, decode.acc_seg: 73.1226, aux.loss_ce: 0.1171, aux.acc_seg: 72.1646, loss: 0.3650 +2022-06-19 08:06:44,901 - mmseg - INFO - Iter [89950/160000] lr: 1.349e-05, eta: 5:22:40, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2585, decode.acc_seg: 73.2514, aux.loss_ce: 0.1199, aux.acc_seg: 72.1626, loss: 0.3784 +2022-06-19 08:06:58,117 - mmseg - INFO - Saving checkpoint at 90000 iterations +2022-06-19 08:07:01,023 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 08:07:01,024 - mmseg - INFO - Iter [90000/160000] lr: 1.348e-05, eta: 5:22:28, time: 0.323, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2409, decode.acc_seg: 71.0302, aux.loss_ce: 0.1137, aux.acc_seg: 70.0770, loss: 0.3546 +2022-06-19 08:07:14,463 - mmseg - INFO - Iter [90050/160000] lr: 1.347e-05, eta: 5:22:14, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2245, decode.acc_seg: 73.9265, aux.loss_ce: 0.1056, aux.acc_seg: 72.8679, loss: 0.3301 +2022-06-19 08:07:27,671 - mmseg - INFO - Iter [90100/160000] lr: 1.346e-05, eta: 5:21:59, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2724, decode.acc_seg: 73.3710, aux.loss_ce: 0.1273, aux.acc_seg: 72.2604, loss: 0.3997 +2022-06-19 08:07:41,174 - mmseg - INFO - Iter [90150/160000] lr: 1.345e-05, eta: 5:21:45, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2393, decode.acc_seg: 72.5035, aux.loss_ce: 0.1128, aux.acc_seg: 71.4822, loss: 0.3521 +2022-06-19 08:07:54,584 - mmseg - INFO - Iter [90200/160000] lr: 1.344e-05, eta: 5:21:31, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2350, decode.acc_seg: 71.7995, aux.loss_ce: 0.1107, aux.acc_seg: 70.8416, loss: 0.3457 +2022-06-19 08:08:08,158 - mmseg - INFO - Iter [90250/160000] lr: 1.343e-05, eta: 5:21:17, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2489, decode.acc_seg: 74.0141, aux.loss_ce: 0.1152, aux.acc_seg: 73.0386, loss: 0.3641 +2022-06-19 08:08:21,745 - mmseg - INFO - Iter [90300/160000] lr: 1.342e-05, eta: 5:21:03, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2588, decode.acc_seg: 72.1403, aux.loss_ce: 0.1213, aux.acc_seg: 70.9756, loss: 0.3801 +2022-06-19 08:08:35,184 - mmseg - INFO - Iter [90350/160000] lr: 1.341e-05, eta: 5:20:49, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2423, decode.acc_seg: 73.8111, aux.loss_ce: 0.1144, aux.acc_seg: 72.7407, loss: 0.3567 +2022-06-19 08:08:48,616 - mmseg - INFO - Iter [90400/160000] lr: 1.340e-05, eta: 5:20:35, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2388, decode.acc_seg: 72.5572, aux.loss_ce: 0.1122, aux.acc_seg: 71.6100, loss: 0.3510 +2022-06-19 08:09:01,912 - mmseg - INFO - Iter [90450/160000] lr: 1.339e-05, eta: 5:20:21, time: 0.266, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2477, decode.acc_seg: 72.1996, aux.loss_ce: 0.1146, aux.acc_seg: 71.2186, loss: 0.3623 +2022-06-19 08:09:15,521 - mmseg - INFO - Iter [90500/160000] lr: 1.338e-05, eta: 5:20:07, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2595, decode.acc_seg: 74.1424, aux.loss_ce: 0.1218, aux.acc_seg: 73.0233, loss: 0.3813 +2022-06-19 08:09:28,832 - mmseg - INFO - Iter [90550/160000] lr: 1.337e-05, eta: 5:19:53, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2388, decode.acc_seg: 71.6176, aux.loss_ce: 0.1123, aux.acc_seg: 70.5557, loss: 0.3511 +2022-06-19 08:09:42,387 - mmseg - INFO - Iter [90600/160000] lr: 1.336e-05, eta: 5:19:39, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2349, decode.acc_seg: 72.3832, aux.loss_ce: 0.1088, aux.acc_seg: 71.4244, loss: 0.3437 +2022-06-19 08:09:55,879 - mmseg - INFO - Iter [90650/160000] lr: 1.335e-05, eta: 5:19:24, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2486, decode.acc_seg: 73.0850, aux.loss_ce: 0.1147, aux.acc_seg: 72.1295, loss: 0.3633 +2022-06-19 08:10:09,395 - mmseg - INFO - Iter [90700/160000] lr: 1.334e-05, eta: 5:19:10, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2529, decode.acc_seg: 73.3785, aux.loss_ce: 0.1161, aux.acc_seg: 72.3529, loss: 0.3690 +2022-06-19 08:10:22,774 - mmseg - INFO - Iter [90750/160000] lr: 1.333e-05, eta: 5:18:56, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2392, decode.acc_seg: 71.5842, aux.loss_ce: 0.1116, aux.acc_seg: 70.5743, loss: 0.3508 +2022-06-19 08:10:35,998 - mmseg - INFO - Iter [90800/160000] lr: 1.332e-05, eta: 5:18:42, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2586, decode.acc_seg: 72.6613, aux.loss_ce: 0.1211, aux.acc_seg: 71.5595, loss: 0.3797 +2022-06-19 08:10:49,344 - mmseg - INFO - Iter [90850/160000] lr: 1.331e-05, eta: 5:18:28, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2347, decode.acc_seg: 72.8899, aux.loss_ce: 0.1091, aux.acc_seg: 71.9174, loss: 0.3438 +2022-06-19 08:11:02,845 - mmseg - INFO - Iter [90900/160000] lr: 1.330e-05, eta: 5:18:14, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2400, decode.acc_seg: 71.8423, aux.loss_ce: 0.1130, aux.acc_seg: 70.6954, loss: 0.3530 +2022-06-19 08:11:18,757 - mmseg - INFO - Iter [90950/160000] lr: 1.329e-05, eta: 5:18:02, time: 0.318, data_time: 0.049, memory: 56924, decode.loss_ce: 0.2455, decode.acc_seg: 73.4160, aux.loss_ce: 0.1154, aux.acc_seg: 72.3427, loss: 0.3609 +2022-06-19 08:11:31,917 - mmseg - INFO - Saving checkpoint at 91000 iterations +2022-06-19 08:11:34,827 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 08:11:34,827 - mmseg - INFO - Iter [91000/160000] lr: 1.328e-05, eta: 5:17:49, time: 0.322, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2435, decode.acc_seg: 73.1235, aux.loss_ce: 0.1137, aux.acc_seg: 72.0601, loss: 0.3572 +2022-06-19 08:11:48,195 - mmseg - INFO - Iter [91050/160000] lr: 1.327e-05, eta: 5:17:35, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2509, decode.acc_seg: 71.9690, aux.loss_ce: 0.1184, aux.acc_seg: 70.9090, loss: 0.3693 +2022-06-19 08:12:01,852 - mmseg - INFO - Iter [91100/160000] lr: 1.326e-05, eta: 5:17:21, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2539, decode.acc_seg: 71.3178, aux.loss_ce: 0.1179, aux.acc_seg: 70.3014, loss: 0.3718 +2022-06-19 08:12:15,145 - mmseg - INFO - Iter [91150/160000] lr: 1.325e-05, eta: 5:17:07, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2453, decode.acc_seg: 71.9099, aux.loss_ce: 0.1169, aux.acc_seg: 70.7628, loss: 0.3622 +2022-06-19 08:12:28,437 - mmseg - INFO - Iter [91200/160000] lr: 1.324e-05, eta: 5:16:53, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2491, decode.acc_seg: 74.0583, aux.loss_ce: 0.1163, aux.acc_seg: 73.0554, loss: 0.3654 +2022-06-19 08:12:41,924 - mmseg - INFO - Iter [91250/160000] lr: 1.323e-05, eta: 5:16:39, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2407, decode.acc_seg: 73.8056, aux.loss_ce: 0.1126, aux.acc_seg: 72.6633, loss: 0.3532 +2022-06-19 08:12:55,323 - mmseg - INFO - Iter [91300/160000] lr: 1.323e-05, eta: 5:16:25, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2669, decode.acc_seg: 72.3764, aux.loss_ce: 0.1247, aux.acc_seg: 71.2425, loss: 0.3916 +2022-06-19 08:13:08,407 - mmseg - INFO - Iter [91350/160000] lr: 1.322e-05, eta: 5:16:10, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2483, decode.acc_seg: 73.0922, aux.loss_ce: 0.1176, aux.acc_seg: 71.8467, loss: 0.3658 +2022-06-19 08:13:21,808 - mmseg - INFO - Iter [91400/160000] lr: 1.321e-05, eta: 5:15:56, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2469, decode.acc_seg: 72.9009, aux.loss_ce: 0.1164, aux.acc_seg: 71.8732, loss: 0.3633 +2022-06-19 08:13:35,312 - mmseg - INFO - Iter [91450/160000] lr: 1.320e-05, eta: 5:15:42, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2333, decode.acc_seg: 72.8848, aux.loss_ce: 0.1093, aux.acc_seg: 71.8361, loss: 0.3426 +2022-06-19 08:13:48,601 - mmseg - INFO - Iter [91500/160000] lr: 1.319e-05, eta: 5:15:28, time: 0.265, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2369, decode.acc_seg: 73.0106, aux.loss_ce: 0.1096, aux.acc_seg: 72.1528, loss: 0.3465 +2022-06-19 08:14:02,132 - mmseg - INFO - Iter [91550/160000] lr: 1.318e-05, eta: 5:15:14, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2395, decode.acc_seg: 72.7431, aux.loss_ce: 0.1125, aux.acc_seg: 71.6459, loss: 0.3519 +2022-06-19 08:14:15,582 - mmseg - INFO - Iter [91600/160000] lr: 1.317e-05, eta: 5:15:00, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2412, decode.acc_seg: 73.7204, aux.loss_ce: 0.1131, aux.acc_seg: 72.6791, loss: 0.3543 +2022-06-19 08:14:29,073 - mmseg - INFO - Iter [91650/160000] lr: 1.316e-05, eta: 5:14:46, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2427, decode.acc_seg: 73.3674, aux.loss_ce: 0.1145, aux.acc_seg: 72.1741, loss: 0.3573 +2022-06-19 08:14:42,321 - mmseg - INFO - Iter [91700/160000] lr: 1.315e-05, eta: 5:14:32, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2351, decode.acc_seg: 72.2563, aux.loss_ce: 0.1099, aux.acc_seg: 71.1033, loss: 0.3450 +2022-06-19 08:14:55,646 - mmseg - INFO - Iter [91750/160000] lr: 1.314e-05, eta: 5:14:17, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2488, decode.acc_seg: 74.2087, aux.loss_ce: 0.1147, aux.acc_seg: 73.1977, loss: 0.3635 +2022-06-19 08:15:09,186 - mmseg - INFO - Iter [91800/160000] lr: 1.313e-05, eta: 5:14:03, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2311, decode.acc_seg: 73.4876, aux.loss_ce: 0.1088, aux.acc_seg: 72.4040, loss: 0.3399 +2022-06-19 08:15:22,770 - mmseg - INFO - Iter [91850/160000] lr: 1.312e-05, eta: 5:13:49, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2411, decode.acc_seg: 72.8307, aux.loss_ce: 0.1117, aux.acc_seg: 71.9178, loss: 0.3528 +2022-06-19 08:15:36,350 - mmseg - INFO - Iter [91900/160000] lr: 1.311e-05, eta: 5:13:35, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2419, decode.acc_seg: 73.3157, aux.loss_ce: 0.1121, aux.acc_seg: 72.3237, loss: 0.3540 +2022-06-19 08:15:49,720 - mmseg - INFO - Iter [91950/160000] lr: 1.310e-05, eta: 5:13:21, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2483, decode.acc_seg: 71.3824, aux.loss_ce: 0.1161, aux.acc_seg: 70.3318, loss: 0.3644 +2022-06-19 08:16:03,603 - mmseg - INFO - Saving checkpoint at 92000 iterations +2022-06-19 08:16:06,533 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 08:16:06,533 - mmseg - INFO - Iter [92000/160000] lr: 1.309e-05, eta: 5:13:10, time: 0.336, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2293, decode.acc_seg: 73.7773, aux.loss_ce: 0.1080, aux.acc_seg: 72.6557, loss: 0.3373 +2022-06-19 08:16:20,109 - mmseg - INFO - Iter [92050/160000] lr: 1.308e-05, eta: 5:12:56, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2368, decode.acc_seg: 73.5882, aux.loss_ce: 0.1115, aux.acc_seg: 72.5511, loss: 0.3482 +2022-06-19 08:16:33,921 - mmseg - INFO - Iter [92100/160000] lr: 1.307e-05, eta: 5:12:42, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2561, decode.acc_seg: 72.7605, aux.loss_ce: 0.1190, aux.acc_seg: 71.8057, loss: 0.3751 +2022-06-19 08:16:47,438 - mmseg - INFO - Iter [92150/160000] lr: 1.306e-05, eta: 5:12:28, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2411, decode.acc_seg: 73.2592, aux.loss_ce: 0.1137, aux.acc_seg: 72.1191, loss: 0.3548 +2022-06-19 08:17:03,313 - mmseg - INFO - Iter [92200/160000] lr: 1.305e-05, eta: 5:12:15, time: 0.317, data_time: 0.053, memory: 56924, decode.loss_ce: 0.2413, decode.acc_seg: 73.0215, aux.loss_ce: 0.1121, aux.acc_seg: 72.1140, loss: 0.3533 +2022-06-19 08:17:16,655 - mmseg - INFO - Iter [92250/160000] lr: 1.304e-05, eta: 5:12:01, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2396, decode.acc_seg: 73.1097, aux.loss_ce: 0.1123, aux.acc_seg: 72.0042, loss: 0.3519 +2022-06-19 08:17:29,891 - mmseg - INFO - Iter [92300/160000] lr: 1.303e-05, eta: 5:11:47, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2470, decode.acc_seg: 72.9103, aux.loss_ce: 0.1179, aux.acc_seg: 71.6842, loss: 0.3649 +2022-06-19 08:17:43,333 - mmseg - INFO - Iter [92350/160000] lr: 1.302e-05, eta: 5:11:33, time: 0.269, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2285, decode.acc_seg: 73.5388, aux.loss_ce: 0.1086, aux.acc_seg: 72.4373, loss: 0.3371 +2022-06-19 08:17:56,897 - mmseg - INFO - Iter [92400/160000] lr: 1.301e-05, eta: 5:11:19, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2498, decode.acc_seg: 71.9232, aux.loss_ce: 0.1181, aux.acc_seg: 70.8483, loss: 0.3679 +2022-06-19 08:18:10,393 - mmseg - INFO - Iter [92450/160000] lr: 1.300e-05, eta: 5:11:05, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2350, decode.acc_seg: 73.4630, aux.loss_ce: 0.1089, aux.acc_seg: 72.5030, loss: 0.3439 +2022-06-19 08:18:23,867 - mmseg - INFO - Iter [92500/160000] lr: 1.299e-05, eta: 5:10:51, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2463, decode.acc_seg: 72.8991, aux.loss_ce: 0.1145, aux.acc_seg: 72.0381, loss: 0.3609 +2022-06-19 08:18:37,218 - mmseg - INFO - Iter [92550/160000] lr: 1.298e-05, eta: 5:10:37, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2563, decode.acc_seg: 73.5208, aux.loss_ce: 0.1219, aux.acc_seg: 72.3323, loss: 0.3781 +2022-06-19 08:18:50,417 - mmseg - INFO - Iter [92600/160000] lr: 1.297e-05, eta: 5:10:22, time: 0.264, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2343, decode.acc_seg: 72.9816, aux.loss_ce: 0.1101, aux.acc_seg: 71.8873, loss: 0.3444 +2022-06-19 08:19:03,649 - mmseg - INFO - Iter [92650/160000] lr: 1.297e-05, eta: 5:10:08, time: 0.265, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2348, decode.acc_seg: 72.7255, aux.loss_ce: 0.1098, aux.acc_seg: 71.6967, loss: 0.3445 +2022-06-19 08:19:17,320 - mmseg - INFO - Iter [92700/160000] lr: 1.296e-05, eta: 5:09:54, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2408, decode.acc_seg: 72.7695, aux.loss_ce: 0.1127, aux.acc_seg: 71.7441, loss: 0.3535 +2022-06-19 08:19:30,752 - mmseg - INFO - Iter [92750/160000] lr: 1.295e-05, eta: 5:09:40, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2362, decode.acc_seg: 72.5081, aux.loss_ce: 0.1119, aux.acc_seg: 71.5400, loss: 0.3482 +2022-06-19 08:19:44,050 - mmseg - INFO - Iter [92800/160000] lr: 1.294e-05, eta: 5:09:26, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2328, decode.acc_seg: 72.8497, aux.loss_ce: 0.1091, aux.acc_seg: 71.6560, loss: 0.3419 +2022-06-19 08:19:57,402 - mmseg - INFO - Iter [92850/160000] lr: 1.293e-05, eta: 5:09:12, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2336, decode.acc_seg: 72.8084, aux.loss_ce: 0.1107, aux.acc_seg: 71.7582, loss: 0.3443 +2022-06-19 08:20:10,761 - mmseg - INFO - Iter [92900/160000] lr: 1.292e-05, eta: 5:08:58, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2542, decode.acc_seg: 72.4990, aux.loss_ce: 0.1194, aux.acc_seg: 71.3345, loss: 0.3736 +2022-06-19 08:20:24,307 - mmseg - INFO - Iter [92950/160000] lr: 1.291e-05, eta: 5:08:44, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2379, decode.acc_seg: 72.9369, aux.loss_ce: 0.1100, aux.acc_seg: 71.9388, loss: 0.3479 +2022-06-19 08:20:37,767 - mmseg - INFO - Saving checkpoint at 93000 iterations +2022-06-19 08:20:40,675 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 08:20:40,676 - mmseg - INFO - Iter [93000/160000] lr: 1.290e-05, eta: 5:08:32, time: 0.327, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2556, decode.acc_seg: 72.8445, aux.loss_ce: 0.1194, aux.acc_seg: 71.8622, loss: 0.3750 +2022-06-19 08:20:53,962 - mmseg - INFO - Iter [93050/160000] lr: 1.289e-05, eta: 5:08:17, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2455, decode.acc_seg: 73.5507, aux.loss_ce: 0.1169, aux.acc_seg: 72.3801, loss: 0.3624 +2022-06-19 08:21:07,580 - mmseg - INFO - Iter [93100/160000] lr: 1.288e-05, eta: 5:08:03, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2368, decode.acc_seg: 73.6775, aux.loss_ce: 0.1091, aux.acc_seg: 72.7906, loss: 0.3459 +2022-06-19 08:21:20,974 - mmseg - INFO - Iter [93150/160000] lr: 1.287e-05, eta: 5:07:49, time: 0.269, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2396, decode.acc_seg: 73.1392, aux.loss_ce: 0.1141, aux.acc_seg: 71.9686, loss: 0.3537 +2022-06-19 08:21:34,361 - mmseg - INFO - Iter [93200/160000] lr: 1.286e-05, eta: 5:07:35, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2308, decode.acc_seg: 72.2252, aux.loss_ce: 0.1087, aux.acc_seg: 71.0729, loss: 0.3395 +2022-06-19 08:21:47,814 - mmseg - INFO - Iter [93250/160000] lr: 1.285e-05, eta: 5:07:21, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2320, decode.acc_seg: 74.4196, aux.loss_ce: 0.1100, aux.acc_seg: 73.2610, loss: 0.3420 +2022-06-19 08:22:01,135 - mmseg - INFO - Iter [93300/160000] lr: 1.284e-05, eta: 5:07:07, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2450, decode.acc_seg: 72.3962, aux.loss_ce: 0.1141, aux.acc_seg: 71.3686, loss: 0.3590 +2022-06-19 08:22:14,644 - mmseg - INFO - Iter [93350/160000] lr: 1.283e-05, eta: 5:06:53, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2441, decode.acc_seg: 72.5683, aux.loss_ce: 0.1131, aux.acc_seg: 71.4705, loss: 0.3572 +2022-06-19 08:22:28,152 - mmseg - INFO - Iter [93400/160000] lr: 1.282e-05, eta: 5:06:39, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2346, decode.acc_seg: 71.9150, aux.loss_ce: 0.1098, aux.acc_seg: 70.8381, loss: 0.3444 +2022-06-19 08:22:41,497 - mmseg - INFO - Iter [93450/160000] lr: 1.281e-05, eta: 5:06:25, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2240, decode.acc_seg: 72.4145, aux.loss_ce: 0.1058, aux.acc_seg: 71.4031, loss: 0.3299 +2022-06-19 08:22:57,025 - mmseg - INFO - Iter [93500/160000] lr: 1.280e-05, eta: 5:06:12, time: 0.311, data_time: 0.048, memory: 56924, decode.loss_ce: 0.2507, decode.acc_seg: 72.2142, aux.loss_ce: 0.1158, aux.acc_seg: 71.2929, loss: 0.3666 +2022-06-19 08:23:10,337 - mmseg - INFO - Iter [93550/160000] lr: 1.279e-05, eta: 5:05:58, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2459, decode.acc_seg: 72.4157, aux.loss_ce: 0.1146, aux.acc_seg: 71.3974, loss: 0.3605 +2022-06-19 08:23:23,846 - mmseg - INFO - Iter [93600/160000] lr: 1.278e-05, eta: 5:05:44, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2291, decode.acc_seg: 74.9640, aux.loss_ce: 0.1064, aux.acc_seg: 74.1506, loss: 0.3356 +2022-06-19 08:23:36,927 - mmseg - INFO - Iter [93650/160000] lr: 1.277e-05, eta: 5:05:30, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2309, decode.acc_seg: 73.9248, aux.loss_ce: 0.1098, aux.acc_seg: 72.7463, loss: 0.3407 +2022-06-19 08:23:50,216 - mmseg - INFO - Iter [93700/160000] lr: 1.276e-05, eta: 5:05:16, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2330, decode.acc_seg: 73.1648, aux.loss_ce: 0.1105, aux.acc_seg: 72.0358, loss: 0.3435 +2022-06-19 08:24:03,448 - mmseg - INFO - Iter [93750/160000] lr: 1.275e-05, eta: 5:05:01, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2417, decode.acc_seg: 73.2594, aux.loss_ce: 0.1119, aux.acc_seg: 72.3649, loss: 0.3536 +2022-06-19 08:24:16,752 - mmseg - INFO - Iter [93800/160000] lr: 1.274e-05, eta: 5:04:47, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2310, decode.acc_seg: 73.5241, aux.loss_ce: 0.1084, aux.acc_seg: 72.5268, loss: 0.3394 +2022-06-19 08:24:30,111 - mmseg - INFO - Iter [93850/160000] lr: 1.273e-05, eta: 5:04:33, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2347, decode.acc_seg: 71.7151, aux.loss_ce: 0.1104, aux.acc_seg: 70.6792, loss: 0.3451 +2022-06-19 08:24:43,480 - mmseg - INFO - Iter [93900/160000] lr: 1.272e-05, eta: 5:04:19, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2300, decode.acc_seg: 73.4993, aux.loss_ce: 0.1079, aux.acc_seg: 72.5272, loss: 0.3379 +2022-06-19 08:24:56,899 - mmseg - INFO - Iter [93950/160000] lr: 1.272e-05, eta: 5:04:05, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2279, decode.acc_seg: 72.7368, aux.loss_ce: 0.1077, aux.acc_seg: 71.5927, loss: 0.3356 +2022-06-19 08:25:10,170 - mmseg - INFO - Saving checkpoint at 94000 iterations +2022-06-19 08:25:13,413 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 08:25:13,413 - mmseg - INFO - Iter [94000/160000] lr: 1.271e-05, eta: 5:03:53, time: 0.326, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2462, decode.acc_seg: 73.1640, aux.loss_ce: 0.1143, aux.acc_seg: 72.2208, loss: 0.3605 +2022-06-19 08:25:26,983 - mmseg - INFO - Iter [94050/160000] lr: 1.270e-05, eta: 5:03:39, time: 0.275, data_time: 0.007, memory: 56924, decode.loss_ce: 0.2368, decode.acc_seg: 72.8802, aux.loss_ce: 0.1098, aux.acc_seg: 72.0068, loss: 0.3466 +2022-06-19 08:25:40,544 - mmseg - INFO - Iter [94100/160000] lr: 1.269e-05, eta: 5:03:25, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2569, decode.acc_seg: 72.2716, aux.loss_ce: 0.1200, aux.acc_seg: 71.2786, loss: 0.3769 +2022-06-19 08:25:54,058 - mmseg - INFO - Iter [94150/160000] lr: 1.268e-05, eta: 5:03:11, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2509, decode.acc_seg: 73.2601, aux.loss_ce: 0.1192, aux.acc_seg: 72.0939, loss: 0.3701 +2022-06-19 08:26:07,676 - mmseg - INFO - Iter [94200/160000] lr: 1.267e-05, eta: 5:02:57, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2311, decode.acc_seg: 73.7124, aux.loss_ce: 0.1081, aux.acc_seg: 72.6067, loss: 0.3392 +2022-06-19 08:26:21,370 - mmseg - INFO - Iter [94250/160000] lr: 1.266e-05, eta: 5:02:43, time: 0.274, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2321, decode.acc_seg: 73.0739, aux.loss_ce: 0.1108, aux.acc_seg: 71.9265, loss: 0.3429 +2022-06-19 08:26:34,778 - mmseg - INFO - Iter [94300/160000] lr: 1.265e-05, eta: 5:02:29, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2400, decode.acc_seg: 73.4631, aux.loss_ce: 0.1116, aux.acc_seg: 72.5139, loss: 0.3516 +2022-06-19 08:26:48,276 - mmseg - INFO - Iter [94350/160000] lr: 1.264e-05, eta: 5:02:15, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2509, decode.acc_seg: 73.9152, aux.loss_ce: 0.1178, aux.acc_seg: 72.8599, loss: 0.3687 +2022-06-19 08:27:01,905 - mmseg - INFO - Iter [94400/160000] lr: 1.263e-05, eta: 5:02:01, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2451, decode.acc_seg: 73.5372, aux.loss_ce: 0.1171, aux.acc_seg: 72.2964, loss: 0.3622 +2022-06-19 08:27:15,559 - mmseg - INFO - Iter [94450/160000] lr: 1.262e-05, eta: 5:01:47, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2329, decode.acc_seg: 72.2368, aux.loss_ce: 0.1111, aux.acc_seg: 71.0670, loss: 0.3440 +2022-06-19 08:27:29,121 - mmseg - INFO - Iter [94500/160000] lr: 1.261e-05, eta: 5:01:33, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2290, decode.acc_seg: 74.6714, aux.loss_ce: 0.1068, aux.acc_seg: 73.8042, loss: 0.3358 +2022-06-19 08:27:42,657 - mmseg - INFO - Iter [94550/160000] lr: 1.260e-05, eta: 5:01:19, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2376, decode.acc_seg: 73.6385, aux.loss_ce: 0.1125, aux.acc_seg: 72.4069, loss: 0.3501 +2022-06-19 08:27:56,337 - mmseg - INFO - Iter [94600/160000] lr: 1.259e-05, eta: 5:01:05, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2252, decode.acc_seg: 72.6471, aux.loss_ce: 0.1055, aux.acc_seg: 71.6989, loss: 0.3307 +2022-06-19 08:28:09,962 - mmseg - INFO - Iter [94650/160000] lr: 1.258e-05, eta: 5:00:51, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2468, decode.acc_seg: 72.1249, aux.loss_ce: 0.1167, aux.acc_seg: 70.9157, loss: 0.3635 +2022-06-19 08:28:23,351 - mmseg - INFO - Iter [94700/160000] lr: 1.257e-05, eta: 5:00:37, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2493, decode.acc_seg: 72.0930, aux.loss_ce: 0.1184, aux.acc_seg: 70.8631, loss: 0.3677 +2022-06-19 08:28:38,912 - mmseg - INFO - Iter [94750/160000] lr: 1.256e-05, eta: 5:00:25, time: 0.311, data_time: 0.050, memory: 56924, decode.loss_ce: 0.2169, decode.acc_seg: 73.0852, aux.loss_ce: 0.1031, aux.acc_seg: 72.0181, loss: 0.3199 +2022-06-19 08:28:52,458 - mmseg - INFO - Iter [94800/160000] lr: 1.255e-05, eta: 5:00:11, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2525, decode.acc_seg: 72.7526, aux.loss_ce: 0.1196, aux.acc_seg: 71.6194, loss: 0.3721 +2022-06-19 08:29:05,981 - mmseg - INFO - Iter [94850/160000] lr: 1.254e-05, eta: 4:59:56, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2271, decode.acc_seg: 72.8866, aux.loss_ce: 0.1076, aux.acc_seg: 71.8030, loss: 0.3347 +2022-06-19 08:29:19,409 - mmseg - INFO - Iter [94900/160000] lr: 1.253e-05, eta: 4:59:42, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2324, decode.acc_seg: 73.1046, aux.loss_ce: 0.1106, aux.acc_seg: 71.8794, loss: 0.3429 +2022-06-19 08:29:32,706 - mmseg - INFO - Iter [94950/160000] lr: 1.252e-05, eta: 4:59:28, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2270, decode.acc_seg: 73.6327, aux.loss_ce: 0.1075, aux.acc_seg: 72.5611, loss: 0.3345 +2022-06-19 08:29:46,258 - mmseg - INFO - Saving checkpoint at 95000 iterations +2022-06-19 08:29:49,166 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 08:29:49,167 - mmseg - INFO - Iter [95000/160000] lr: 1.251e-05, eta: 4:59:16, time: 0.329, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2457, decode.acc_seg: 71.6329, aux.loss_ce: 0.1170, aux.acc_seg: 70.5231, loss: 0.3627 +2022-06-19 08:30:02,399 - mmseg - INFO - Iter [95050/160000] lr: 1.250e-05, eta: 4:59:02, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2344, decode.acc_seg: 73.5068, aux.loss_ce: 0.1094, aux.acc_seg: 72.5035, loss: 0.3438 +2022-06-19 08:30:15,794 - mmseg - INFO - Iter [95100/160000] lr: 1.249e-05, eta: 4:58:48, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2427, decode.acc_seg: 71.4771, aux.loss_ce: 0.1147, aux.acc_seg: 70.4008, loss: 0.3575 +2022-06-19 08:30:29,488 - mmseg - INFO - Iter [95150/160000] lr: 1.248e-05, eta: 4:58:34, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2352, decode.acc_seg: 73.7366, aux.loss_ce: 0.1116, aux.acc_seg: 72.7374, loss: 0.3468 +2022-06-19 08:30:42,897 - mmseg - INFO - Iter [95200/160000] lr: 1.247e-05, eta: 4:58:20, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2243, decode.acc_seg: 72.9709, aux.loss_ce: 0.1044, aux.acc_seg: 71.9609, loss: 0.3287 +2022-06-19 08:30:56,402 - mmseg - INFO - Iter [95250/160000] lr: 1.246e-05, eta: 4:58:06, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2526, decode.acc_seg: 72.5391, aux.loss_ce: 0.1161, aux.acc_seg: 71.5756, loss: 0.3688 +2022-06-19 08:31:09,735 - mmseg - INFO - Iter [95300/160000] lr: 1.246e-05, eta: 4:57:52, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2300, decode.acc_seg: 72.3870, aux.loss_ce: 0.1071, aux.acc_seg: 71.5474, loss: 0.3372 +2022-06-19 08:31:23,246 - mmseg - INFO - Iter [95350/160000] lr: 1.245e-05, eta: 4:57:38, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2358, decode.acc_seg: 73.7146, aux.loss_ce: 0.1106, aux.acc_seg: 72.6314, loss: 0.3463 +2022-06-19 08:31:36,592 - mmseg - INFO - Iter [95400/160000] lr: 1.244e-05, eta: 4:57:24, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2356, decode.acc_seg: 72.0969, aux.loss_ce: 0.1112, aux.acc_seg: 71.0573, loss: 0.3468 +2022-06-19 08:31:50,068 - mmseg - INFO - Iter [95450/160000] lr: 1.243e-05, eta: 4:57:10, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2369, decode.acc_seg: 73.6277, aux.loss_ce: 0.1131, aux.acc_seg: 72.5887, loss: 0.3500 +2022-06-19 08:32:03,408 - mmseg - INFO - Iter [95500/160000] lr: 1.242e-05, eta: 4:56:56, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2302, decode.acc_seg: 70.9757, aux.loss_ce: 0.1088, aux.acc_seg: 69.9414, loss: 0.3391 +2022-06-19 08:32:16,816 - mmseg - INFO - Iter [95550/160000] lr: 1.241e-05, eta: 4:56:41, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2483, decode.acc_seg: 73.8016, aux.loss_ce: 0.1178, aux.acc_seg: 72.6572, loss: 0.3662 +2022-06-19 08:32:30,375 - mmseg - INFO - Iter [95600/160000] lr: 1.240e-05, eta: 4:56:27, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2414, decode.acc_seg: 73.7649, aux.loss_ce: 0.1142, aux.acc_seg: 72.4833, loss: 0.3557 +2022-06-19 08:32:44,051 - mmseg - INFO - Iter [95650/160000] lr: 1.239e-05, eta: 4:56:14, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2351, decode.acc_seg: 72.9610, aux.loss_ce: 0.1104, aux.acc_seg: 71.9335, loss: 0.3455 +2022-06-19 08:32:57,622 - mmseg - INFO - Iter [95700/160000] lr: 1.238e-05, eta: 4:56:00, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2492, decode.acc_seg: 72.7838, aux.loss_ce: 0.1163, aux.acc_seg: 71.6677, loss: 0.3655 +2022-06-19 08:33:10,993 - mmseg - INFO - Iter [95750/160000] lr: 1.237e-05, eta: 4:55:45, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2288, decode.acc_seg: 73.3887, aux.loss_ce: 0.1068, aux.acc_seg: 72.4534, loss: 0.3356 +2022-06-19 08:33:24,514 - mmseg - INFO - Iter [95800/160000] lr: 1.236e-05, eta: 4:55:31, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2559, decode.acc_seg: 73.2301, aux.loss_ce: 0.1206, aux.acc_seg: 72.0733, loss: 0.3764 +2022-06-19 08:33:37,807 - mmseg - INFO - Iter [95850/160000] lr: 1.235e-05, eta: 4:55:17, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2252, decode.acc_seg: 73.9415, aux.loss_ce: 0.1045, aux.acc_seg: 72.9877, loss: 0.3297 +2022-06-19 08:33:51,407 - mmseg - INFO - Iter [95900/160000] lr: 1.234e-05, eta: 4:55:03, time: 0.273, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2398, decode.acc_seg: 73.3150, aux.loss_ce: 0.1138, aux.acc_seg: 72.1407, loss: 0.3536 +2022-06-19 08:34:05,024 - mmseg - INFO - Iter [95950/160000] lr: 1.233e-05, eta: 4:54:49, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2348, decode.acc_seg: 73.8944, aux.loss_ce: 0.1103, aux.acc_seg: 72.8652, loss: 0.3452 +2022-06-19 08:34:20,907 - mmseg - INFO - Saving checkpoint at 96000 iterations +2022-06-19 08:34:24,003 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 08:34:24,004 - mmseg - INFO - Iter [96000/160000] lr: 1.232e-05, eta: 4:54:39, time: 0.380, data_time: 0.049, memory: 56924, decode.loss_ce: 0.2273, decode.acc_seg: 73.6763, aux.loss_ce: 0.1071, aux.acc_seg: 72.5672, loss: 0.3344 +2022-06-19 08:34:45,648 - mmseg - INFO - per class results: +2022-06-19 08:34:45,655 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 77.15 | 87.95 | +| building | 82.25 | 92.32 | +| sky | 94.39 | 97.62 | +| floor | 81.02 | 90.91 | +| tree | 74.2 | 88.43 | +| ceiling | 84.53 | 92.74 | +| road | 83.27 | 89.15 | +| bed | 87.2 | 95.17 | +| windowpane | 60.84 | 75.25 | +| grass | 66.08 | 83.79 | +| cabinet | 60.63 | 72.89 | +| sidewalk | 65.75 | 81.4 | +| person | 79.76 | 92.71 | +| earth | 34.83 | 47.48 | +| door | 48.39 | 62.92 | +| table | 56.69 | 71.7 | +| mountain | 55.85 | 65.56 | +| plant | 52.54 | 63.08 | +| curtain | 72.01 | 84.55 | +| chair | 54.85 | 71.22 | +| car | 83.27 | 92.3 | +| water | 57.3 | 75.06 | +| painting | 71.84 | 86.46 | +| sofa | 64.81 | 85.81 | +| shelf | 43.87 | 65.86 | +| house | 50.28 | 67.51 | +| sea | 57.1 | 72.4 | +| mirror | 66.57 | 73.04 | +| rug | 63.28 | 74.39 | +| field | 28.66 | 48.0 | +| armchair | 35.59 | 46.94 | +| seat | 65.59 | 81.32 | +| fence | 43.21 | 56.33 | +| desk | 47.91 | 72.42 | +| rock | 44.97 | 79.09 | +| wardrobe | 54.7 | 62.2 | +| lamp | 62.17 | 76.65 | +| bathtub | 74.43 | 82.12 | +| railing | 33.82 | 48.24 | +| cushion | 58.18 | 71.02 | +| base | 31.05 | 40.68 | +| box | 25.43 | 31.63 | +| column | 46.16 | 57.36 | +| signboard | 37.4 | 52.67 | +| chest of drawers | 40.14 | 63.75 | +| counter | 26.87 | 36.84 | +| sand | 48.01 | 71.14 | +| sink | 66.65 | 73.74 | +| skyscraper | 43.23 | 47.62 | +| fireplace | 79.04 | 93.83 | +| refrigerator | 67.46 | 81.1 | +| grandstand | 42.56 | 67.78 | +| path | 17.28 | 23.45 | +| stairs | 25.0 | 32.38 | +| runway | 70.81 | 94.35 | +| case | 50.38 | 70.42 | +| pool table | 91.91 | 96.0 | +| pillow | 54.25 | 64.03 | +| screen door | 70.97 | 82.87 | +| stairway | 28.66 | 40.23 | +| river | 10.12 | 17.11 | +| bridge | 59.9 | 67.88 | +| bookcase | 44.9 | 61.2 | +| blind | 40.35 | 46.5 | +| coffee table | 55.24 | 82.61 | +| toilet | 84.45 | 91.08 | +| flower | 41.01 | 52.15 | +| book | 46.24 | 71.74 | +| hill | 9.26 | 21.58 | +| bench | 39.79 | 46.35 | +| countertop | 56.42 | 75.08 | +| stove | 66.48 | 76.26 | +| palm | 49.53 | 69.93 | +| kitchen island | 36.67 | 72.92 | +| computer | 61.33 | 74.15 | +| swivel chair | 39.76 | 49.76 | +| boat | 50.0 | 58.31 | +| bar | 29.23 | 37.29 | +| arcade machine | 64.26 | 68.81 | +| hovel | 38.94 | 44.78 | +| bus | 86.54 | 95.37 | +| towel | 57.16 | 78.79 | +| light | 53.4 | 63.84 | +| truck | 22.1 | 30.22 | +| tower | 29.87 | 38.22 | +| chandelier | 67.35 | 82.18 | +| awning | 24.45 | 29.64 | +| streetlight | 23.67 | 33.23 | +| booth | 33.34 | 35.0 | +| television receiver | 67.7 | 82.86 | +| airplane | 52.75 | 63.8 | +| dirt track | 1.06 | 1.6 | +| apparel | 30.84 | 39.74 | +| pole | 20.1 | 26.16 | +| land | 2.75 | 3.71 | +| bannister | 11.88 | 16.85 | +| escalator | 48.63 | 75.97 | +| ottoman | 39.35 | 52.64 | +| bottle | 34.94 | 55.5 | +| buffet | 46.51 | 61.33 | +| poster | 20.15 | 30.28 | +| stage | 12.95 | 20.54 | +| van | 37.48 | 48.35 | +| ship | 58.11 | 79.03 | +| fountain | 25.78 | 27.89 | +| conveyer belt | 69.9 | 90.47 | +| canopy | 15.97 | 16.72 | +| washer | 74.65 | 76.29 | +| plaything | 22.1 | 30.91 | +| swimming pool | 64.08 | 82.39 | +| stool | 34.98 | 45.11 | +| barrel | 22.35 | 33.19 | +| basket | 30.33 | 39.18 | +| waterfall | 46.0 | 71.52 | +| tent | 91.53 | 97.86 | +| bag | 12.76 | 16.87 | +| minibike | 64.8 | 74.61 | +| cradle | 66.17 | 83.39 | +| oven | 47.84 | 65.38 | +| ball | 41.22 | 59.6 | +| food | 46.54 | 52.43 | +| step | 7.41 | 9.14 | +| tank | 41.76 | 45.3 | +| trade name | 24.09 | 26.14 | +| microwave | 83.68 | 90.69 | +| pot | 43.27 | 52.11 | +| animal | 50.39 | 51.9 | +| bicycle | 53.9 | 74.67 | +| lake | 59.79 | 65.13 | +| dishwasher | 55.89 | 72.9 | +| screen | 57.64 | 77.72 | +| blanket | 7.9 | 9.95 | +| sculpture | 54.61 | 72.5 | +| hood | 57.92 | 62.99 | +| sconce | 41.49 | 48.64 | +| vase | 36.27 | 56.69 | +| traffic light | 33.16 | 52.24 | +| tray | 5.25 | 8.49 | +| ashcan | 39.35 | 50.67 | +| fan | 56.39 | 76.03 | +| pier | 53.23 | 83.34 | +| crt screen | 0.87 | 3.35 | +| plate | 48.27 | 70.55 | +| monitor | 6.77 | 7.47 | +| bulletin board | 20.23 | 23.64 | +| shower | 0.0 | 0.0 | +| radiator | 60.15 | 69.46 | +| glass | 7.82 | 8.33 | +| clock | 33.93 | 44.0 | +| flag | 34.31 | 38.4 | ++---------------------+-------+-------+ +2022-06-19 08:34:45,655 - mmseg - INFO - Summary: +2022-06-19 08:34:45,655 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.69 | 47.35 | 59.28 | ++-------+-------+-------+ +2022-06-19 08:34:45,661 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 08:34:45,662 - mmseg - INFO - Iter(val) [250] aAcc: 0.8269, mIoU: 0.4735, mAcc: 0.5928, IoU.wall: 0.7715, IoU.building: 0.8225, IoU.sky: 0.9439, IoU.floor: 0.8102, IoU.tree: 0.7420, IoU.ceiling: 0.8453, IoU.road: 0.8327, IoU.bed : 0.8720, IoU.windowpane: 0.6084, IoU.grass: 0.6608, IoU.cabinet: 0.6063, IoU.sidewalk: 0.6575, IoU.person: 0.7976, IoU.earth: 0.3483, IoU.door: 0.4839, IoU.table: 0.5669, IoU.mountain: 0.5585, IoU.plant: 0.5254, IoU.curtain: 0.7201, IoU.chair: 0.5485, IoU.car: 0.8327, IoU.water: 0.5730, IoU.painting: 0.7184, IoU.sofa: 0.6481, IoU.shelf: 0.4387, IoU.house: 0.5028, IoU.sea: 0.5710, IoU.mirror: 0.6657, IoU.rug: 0.6328, IoU.field: 0.2866, IoU.armchair: 0.3559, IoU.seat: 0.6559, IoU.fence: 0.4321, IoU.desk: 0.4791, IoU.rock: 0.4497, IoU.wardrobe: 0.5470, IoU.lamp: 0.6217, IoU.bathtub: 0.7443, IoU.railing: 0.3382, IoU.cushion: 0.5818, IoU.base: 0.3105, IoU.box: 0.2543, IoU.column: 0.4616, IoU.signboard: 0.3740, IoU.chest of drawers: 0.4014, IoU.counter: 0.2687, IoU.sand: 0.4801, IoU.sink: 0.6665, IoU.skyscraper: 0.4323, IoU.fireplace: 0.7904, IoU.refrigerator: 0.6746, IoU.grandstand: 0.4256, IoU.path: 0.1728, IoU.stairs: 0.2500, IoU.runway: 0.7081, IoU.case: 0.5038, IoU.pool table: 0.9191, IoU.pillow: 0.5425, IoU.screen door: 0.7097, IoU.stairway: 0.2866, IoU.river: 0.1012, IoU.bridge: 0.5990, IoU.bookcase: 0.4490, IoU.blind: 0.4035, IoU.coffee table: 0.5524, IoU.toilet: 0.8445, IoU.flower: 0.4101, IoU.book: 0.4624, IoU.hill: 0.0926, IoU.bench: 0.3979, IoU.countertop: 0.5642, IoU.stove: 0.6648, IoU.palm: 0.4953, IoU.kitchen island: 0.3667, IoU.computer: 0.6133, IoU.swivel chair: 0.3976, IoU.boat: 0.5000, IoU.bar: 0.2923, IoU.arcade machine: 0.6426, IoU.hovel: 0.3894, IoU.bus: 0.8654, IoU.towel: 0.5716, IoU.light: 0.5340, IoU.truck: 0.2210, IoU.tower: 0.2987, IoU.chandelier: 0.6735, IoU.awning: 0.2445, IoU.streetlight: 0.2367, IoU.booth: 0.3334, IoU.television receiver: 0.6770, IoU.airplane: 0.5275, IoU.dirt track: 0.0106, IoU.apparel: 0.3084, IoU.pole: 0.2010, IoU.land: 0.0275, IoU.bannister: 0.1188, IoU.escalator: 0.4863, IoU.ottoman: 0.3935, IoU.bottle: 0.3494, IoU.buffet: 0.4651, IoU.poster: 0.2015, IoU.stage: 0.1295, IoU.van: 0.3748, IoU.ship: 0.5811, IoU.fountain: 0.2578, IoU.conveyer belt: 0.6990, IoU.canopy: 0.1597, IoU.washer: 0.7465, IoU.plaything: 0.2210, IoU.swimming pool: 0.6408, IoU.stool: 0.3498, IoU.barrel: 0.2235, IoU.basket: 0.3033, IoU.waterfall: 0.4600, IoU.tent: 0.9153, IoU.bag: 0.1276, IoU.minibike: 0.6480, IoU.cradle: 0.6617, IoU.oven: 0.4784, IoU.ball: 0.4122, IoU.food: 0.4654, IoU.step: 0.0741, IoU.tank: 0.4176, IoU.trade name: 0.2409, IoU.microwave: 0.8368, IoU.pot: 0.4327, IoU.animal: 0.5039, IoU.bicycle: 0.5390, IoU.lake: 0.5979, IoU.dishwasher: 0.5589, IoU.screen: 0.5764, IoU.blanket: 0.0790, IoU.sculpture: 0.5461, IoU.hood: 0.5792, IoU.sconce: 0.4149, IoU.vase: 0.3627, IoU.traffic light: 0.3316, IoU.tray: 0.0525, IoU.ashcan: 0.3935, IoU.fan: 0.5639, IoU.pier: 0.5323, IoU.crt screen: 0.0087, IoU.plate: 0.4827, IoU.monitor: 0.0677, IoU.bulletin board: 0.2023, IoU.shower: 0.0000, IoU.radiator: 0.6015, IoU.glass: 0.0782, IoU.clock: 0.3393, IoU.flag: 0.3431, Acc.wall: 0.8795, Acc.building: 0.9232, Acc.sky: 0.9762, Acc.floor: 0.9091, Acc.tree: 0.8843, Acc.ceiling: 0.9274, Acc.road: 0.8915, Acc.bed : 0.9517, Acc.windowpane: 0.7525, Acc.grass: 0.8379, Acc.cabinet: 0.7289, Acc.sidewalk: 0.8140, Acc.person: 0.9271, Acc.earth: 0.4748, Acc.door: 0.6292, Acc.table: 0.7170, Acc.mountain: 0.6556, Acc.plant: 0.6308, Acc.curtain: 0.8455, Acc.chair: 0.7122, Acc.car: 0.9230, Acc.water: 0.7506, Acc.painting: 0.8646, Acc.sofa: 0.8581, Acc.shelf: 0.6586, Acc.house: 0.6751, Acc.sea: 0.7240, Acc.mirror: 0.7304, Acc.rug: 0.7439, Acc.field: 0.4800, Acc.armchair: 0.4694, Acc.seat: 0.8132, Acc.fence: 0.5633, Acc.desk: 0.7242, Acc.rock: 0.7909, Acc.wardrobe: 0.6220, Acc.lamp: 0.7665, Acc.bathtub: 0.8212, Acc.railing: 0.4824, Acc.cushion: 0.7102, Acc.base: 0.4068, Acc.box: 0.3163, Acc.column: 0.5736, Acc.signboard: 0.5267, Acc.chest of drawers: 0.6375, Acc.counter: 0.3684, Acc.sand: 0.7114, Acc.sink: 0.7374, Acc.skyscraper: 0.4762, Acc.fireplace: 0.9383, Acc.refrigerator: 0.8110, Acc.grandstand: 0.6778, Acc.path: 0.2345, Acc.stairs: 0.3238, Acc.runway: 0.9435, Acc.case: 0.7042, Acc.pool table: 0.9600, Acc.pillow: 0.6403, Acc.screen door: 0.8287, Acc.stairway: 0.4023, Acc.river: 0.1711, Acc.bridge: 0.6788, Acc.bookcase: 0.6120, Acc.blind: 0.4650, Acc.coffee table: 0.8261, Acc.toilet: 0.9108, Acc.flower: 0.5215, Acc.book: 0.7174, Acc.hill: 0.2158, Acc.bench: 0.4635, Acc.countertop: 0.7508, Acc.stove: 0.7626, Acc.palm: 0.6993, Acc.kitchen island: 0.7292, Acc.computer: 0.7415, Acc.swivel chair: 0.4976, Acc.boat: 0.5831, Acc.bar: 0.3729, Acc.arcade machine: 0.6881, Acc.hovel: 0.4478, Acc.bus: 0.9537, Acc.towel: 0.7879, Acc.light: 0.6384, Acc.truck: 0.3022, Acc.tower: 0.3822, Acc.chandelier: 0.8218, Acc.awning: 0.2964, Acc.streetlight: 0.3323, Acc.booth: 0.3500, Acc.television receiver: 0.8286, Acc.airplane: 0.6380, Acc.dirt track: 0.0160, Acc.apparel: 0.3974, Acc.pole: 0.2616, Acc.land: 0.0371, Acc.bannister: 0.1685, Acc.escalator: 0.7597, Acc.ottoman: 0.5264, Acc.bottle: 0.5550, Acc.buffet: 0.6133, Acc.poster: 0.3028, Acc.stage: 0.2054, Acc.van: 0.4835, Acc.ship: 0.7903, Acc.fountain: 0.2789, Acc.conveyer belt: 0.9047, Acc.canopy: 0.1672, Acc.washer: 0.7629, Acc.plaything: 0.3091, Acc.swimming pool: 0.8239, Acc.stool: 0.4511, Acc.barrel: 0.3319, Acc.basket: 0.3918, Acc.waterfall: 0.7152, Acc.tent: 0.9786, Acc.bag: 0.1687, Acc.minibike: 0.7461, Acc.cradle: 0.8339, Acc.oven: 0.6538, Acc.ball: 0.5960, Acc.food: 0.5243, Acc.step: 0.0914, Acc.tank: 0.4530, Acc.trade name: 0.2614, Acc.microwave: 0.9069, Acc.pot: 0.5211, Acc.animal: 0.5190, Acc.bicycle: 0.7467, Acc.lake: 0.6513, Acc.dishwasher: 0.7290, Acc.screen: 0.7772, Acc.blanket: 0.0995, Acc.sculpture: 0.7250, Acc.hood: 0.6299, Acc.sconce: 0.4864, Acc.vase: 0.5669, Acc.traffic light: 0.5224, Acc.tray: 0.0849, Acc.ashcan: 0.5067, Acc.fan: 0.7603, Acc.pier: 0.8334, Acc.crt screen: 0.0335, Acc.plate: 0.7055, Acc.monitor: 0.0747, Acc.bulletin board: 0.2364, Acc.shower: 0.0000, Acc.radiator: 0.6946, Acc.glass: 0.0833, Acc.clock: 0.4400, Acc.flag: 0.3840 +2022-06-19 08:34:59,148 - mmseg - INFO - Iter [96050/160000] lr: 1.231e-05, eta: 4:54:39, time: 0.703, data_time: 0.437, memory: 56924, decode.loss_ce: 0.2176, decode.acc_seg: 73.3438, aux.loss_ce: 0.1028, aux.acc_seg: 72.2750, loss: 0.3204 +2022-06-19 08:35:12,661 - mmseg - INFO - Iter [96100/160000] lr: 1.230e-05, eta: 4:54:25, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2283, decode.acc_seg: 73.1605, aux.loss_ce: 0.1079, aux.acc_seg: 72.1077, loss: 0.3362 +2022-06-19 08:35:26,166 - mmseg - INFO - Iter [96150/160000] lr: 1.229e-05, eta: 4:54:11, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2450, decode.acc_seg: 74.0436, aux.loss_ce: 0.1162, aux.acc_seg: 72.9401, loss: 0.3613 +2022-06-19 08:35:39,628 - mmseg - INFO - Iter [96200/160000] lr: 1.228e-05, eta: 4:53:57, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2455, decode.acc_seg: 73.6189, aux.loss_ce: 0.1163, aux.acc_seg: 72.5235, loss: 0.3618 +2022-06-19 08:35:52,878 - mmseg - INFO - Iter [96250/160000] lr: 1.227e-05, eta: 4:53:43, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2304, decode.acc_seg: 73.5016, aux.loss_ce: 0.1089, aux.acc_seg: 72.3812, loss: 0.3393 +2022-06-19 08:36:06,288 - mmseg - INFO - Iter [96300/160000] lr: 1.226e-05, eta: 4:53:29, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2135, decode.acc_seg: 74.2089, aux.loss_ce: 0.1010, aux.acc_seg: 73.1630, loss: 0.3145 +2022-06-19 08:36:19,801 - mmseg - INFO - Iter [96350/160000] lr: 1.225e-05, eta: 4:53:15, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2490, decode.acc_seg: 73.1285, aux.loss_ce: 0.1169, aux.acc_seg: 72.0468, loss: 0.3659 +2022-06-19 08:36:33,517 - mmseg - INFO - Iter [96400/160000] lr: 1.224e-05, eta: 4:53:01, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2510, decode.acc_seg: 72.8483, aux.loss_ce: 0.1175, aux.acc_seg: 71.7433, loss: 0.3685 +2022-06-19 08:36:47,035 - mmseg - INFO - Iter [96450/160000] lr: 1.223e-05, eta: 4:52:47, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2437, decode.acc_seg: 72.5430, aux.loss_ce: 0.1133, aux.acc_seg: 71.4567, loss: 0.3570 +2022-06-19 08:37:00,674 - mmseg - INFO - Iter [96500/160000] lr: 1.222e-05, eta: 4:52:33, time: 0.273, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2237, decode.acc_seg: 72.9469, aux.loss_ce: 0.1057, aux.acc_seg: 71.9485, loss: 0.3294 +2022-06-19 08:37:14,313 - mmseg - INFO - Iter [96550/160000] lr: 1.221e-05, eta: 4:52:19, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2320, decode.acc_seg: 72.7339, aux.loss_ce: 0.1098, aux.acc_seg: 71.5240, loss: 0.3418 +2022-06-19 08:37:27,707 - mmseg - INFO - Iter [96600/160000] lr: 1.220e-05, eta: 4:52:05, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2403, decode.acc_seg: 71.5200, aux.loss_ce: 0.1103, aux.acc_seg: 70.5698, loss: 0.3506 +2022-06-19 08:37:41,079 - mmseg - INFO - Iter [96650/160000] lr: 1.220e-05, eta: 4:51:51, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2445, decode.acc_seg: 72.6046, aux.loss_ce: 0.1153, aux.acc_seg: 71.4692, loss: 0.3598 +2022-06-19 08:37:54,649 - mmseg - INFO - Iter [96700/160000] lr: 1.219e-05, eta: 4:51:37, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2313, decode.acc_seg: 71.9194, aux.loss_ce: 0.1089, aux.acc_seg: 70.8670, loss: 0.3401 +2022-06-19 08:38:08,095 - mmseg - INFO - Iter [96750/160000] lr: 1.218e-05, eta: 4:51:23, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2129, decode.acc_seg: 73.6982, aux.loss_ce: 0.1004, aux.acc_seg: 72.6549, loss: 0.3133 +2022-06-19 08:38:21,477 - mmseg - INFO - Iter [96800/160000] lr: 1.217e-05, eta: 4:51:09, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2155, decode.acc_seg: 73.2670, aux.loss_ce: 0.1002, aux.acc_seg: 72.2936, loss: 0.3157 +2022-06-19 08:38:34,848 - mmseg - INFO - Iter [96850/160000] lr: 1.216e-05, eta: 4:50:55, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2294, decode.acc_seg: 73.2799, aux.loss_ce: 0.1086, aux.acc_seg: 72.2068, loss: 0.3381 +2022-06-19 08:38:48,381 - mmseg - INFO - Iter [96900/160000] lr: 1.215e-05, eta: 4:50:41, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2264, decode.acc_seg: 73.1349, aux.loss_ce: 0.1085, aux.acc_seg: 71.9287, loss: 0.3349 +2022-06-19 08:39:02,016 - mmseg - INFO - Iter [96950/160000] lr: 1.214e-05, eta: 4:50:27, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2217, decode.acc_seg: 73.2154, aux.loss_ce: 0.1047, aux.acc_seg: 72.1313, loss: 0.3264 +2022-06-19 08:39:15,585 - mmseg - INFO - Saving checkpoint at 97000 iterations +2022-06-19 08:39:18,509 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 08:39:18,509 - mmseg - INFO - Iter [97000/160000] lr: 1.213e-05, eta: 4:50:15, time: 0.330, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2274, decode.acc_seg: 74.5009, aux.loss_ce: 0.1084, aux.acc_seg: 73.3451, loss: 0.3358 +2022-06-19 08:39:32,084 - mmseg - INFO - Iter [97050/160000] lr: 1.212e-05, eta: 4:50:01, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2340, decode.acc_seg: 72.1553, aux.loss_ce: 0.1098, aux.acc_seg: 71.1220, loss: 0.3438 +2022-06-19 08:39:45,765 - mmseg - INFO - Iter [97100/160000] lr: 1.211e-05, eta: 4:49:47, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2445, decode.acc_seg: 74.0346, aux.loss_ce: 0.1156, aux.acc_seg: 72.9485, loss: 0.3601 +2022-06-19 08:39:59,304 - mmseg - INFO - Iter [97150/160000] lr: 1.210e-05, eta: 4:49:33, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2309, decode.acc_seg: 73.5412, aux.loss_ce: 0.1105, aux.acc_seg: 72.4160, loss: 0.3414 +2022-06-19 08:40:12,646 - mmseg - INFO - Iter [97200/160000] lr: 1.209e-05, eta: 4:49:19, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2306, decode.acc_seg: 72.5221, aux.loss_ce: 0.1086, aux.acc_seg: 71.5720, loss: 0.3392 +2022-06-19 08:40:25,743 - mmseg - INFO - Iter [97250/160000] lr: 1.208e-05, eta: 4:49:04, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2311, decode.acc_seg: 73.9068, aux.loss_ce: 0.1094, aux.acc_seg: 72.8469, loss: 0.3406 +2022-06-19 08:40:41,669 - mmseg - INFO - Iter [97300/160000] lr: 1.207e-05, eta: 4:48:52, time: 0.319, data_time: 0.051, memory: 56924, decode.loss_ce: 0.2319, decode.acc_seg: 73.2052, aux.loss_ce: 0.1085, aux.acc_seg: 72.1265, loss: 0.3404 +2022-06-19 08:40:55,065 - mmseg - INFO - Iter [97350/160000] lr: 1.206e-05, eta: 4:48:38, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2284, decode.acc_seg: 73.8227, aux.loss_ce: 0.1076, aux.acc_seg: 72.7259, loss: 0.3360 +2022-06-19 08:41:08,284 - mmseg - INFO - Iter [97400/160000] lr: 1.205e-05, eta: 4:48:24, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2251, decode.acc_seg: 72.1381, aux.loss_ce: 0.1065, aux.acc_seg: 71.0471, loss: 0.3315 +2022-06-19 08:41:22,002 - mmseg - INFO - Iter [97450/160000] lr: 1.204e-05, eta: 4:48:10, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2264, decode.acc_seg: 73.4582, aux.loss_ce: 0.1074, aux.acc_seg: 72.3731, loss: 0.3338 +2022-06-19 08:41:35,489 - mmseg - INFO - Iter [97500/160000] lr: 1.203e-05, eta: 4:47:56, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2314, decode.acc_seg: 73.6555, aux.loss_ce: 0.1097, aux.acc_seg: 72.5504, loss: 0.3411 +2022-06-19 08:41:49,146 - mmseg - INFO - Iter [97550/160000] lr: 1.202e-05, eta: 4:47:42, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2351, decode.acc_seg: 73.7431, aux.loss_ce: 0.1121, aux.acc_seg: 72.6247, loss: 0.3472 +2022-06-19 08:42:02,455 - mmseg - INFO - Iter [97600/160000] lr: 1.201e-05, eta: 4:47:28, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2366, decode.acc_seg: 72.7628, aux.loss_ce: 0.1109, aux.acc_seg: 71.6518, loss: 0.3475 +2022-06-19 08:42:15,939 - mmseg - INFO - Iter [97650/160000] lr: 1.200e-05, eta: 4:47:14, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2274, decode.acc_seg: 72.7429, aux.loss_ce: 0.1081, aux.acc_seg: 71.6727, loss: 0.3355 +2022-06-19 08:42:29,462 - mmseg - INFO - Iter [97700/160000] lr: 1.199e-05, eta: 4:47:00, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2375, decode.acc_seg: 72.1196, aux.loss_ce: 0.1126, aux.acc_seg: 70.9067, loss: 0.3502 +2022-06-19 08:42:42,813 - mmseg - INFO - Iter [97750/160000] lr: 1.198e-05, eta: 4:46:45, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2405, decode.acc_seg: 74.1569, aux.loss_ce: 0.1127, aux.acc_seg: 73.1977, loss: 0.3532 +2022-06-19 08:42:56,198 - mmseg - INFO - Iter [97800/160000] lr: 1.197e-05, eta: 4:46:31, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2352, decode.acc_seg: 71.8742, aux.loss_ce: 0.1117, aux.acc_seg: 70.7782, loss: 0.3469 +2022-06-19 08:43:09,654 - mmseg - INFO - Iter [97850/160000] lr: 1.196e-05, eta: 4:46:17, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2258, decode.acc_seg: 73.3776, aux.loss_ce: 0.1065, aux.acc_seg: 72.3304, loss: 0.3323 +2022-06-19 08:43:23,178 - mmseg - INFO - Iter [97900/160000] lr: 1.195e-05, eta: 4:46:03, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2205, decode.acc_seg: 73.4255, aux.loss_ce: 0.1063, aux.acc_seg: 72.1817, loss: 0.3268 +2022-06-19 08:43:36,797 - mmseg - INFO - Iter [97950/160000] lr: 1.195e-05, eta: 4:45:49, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2270, decode.acc_seg: 73.5468, aux.loss_ce: 0.1081, aux.acc_seg: 72.4612, loss: 0.3351 +2022-06-19 08:43:50,221 - mmseg - INFO - Saving checkpoint at 98000 iterations +2022-06-19 08:43:53,150 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 08:43:53,151 - mmseg - INFO - Iter [98000/160000] lr: 1.194e-05, eta: 4:45:37, time: 0.327, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2489, decode.acc_seg: 72.4360, aux.loss_ce: 0.1154, aux.acc_seg: 71.4834, loss: 0.3643 +2022-06-19 08:44:06,846 - mmseg - INFO - Iter [98050/160000] lr: 1.193e-05, eta: 4:45:23, time: 0.274, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2285, decode.acc_seg: 73.6887, aux.loss_ce: 0.1078, aux.acc_seg: 72.6108, loss: 0.3363 +2022-06-19 08:44:20,208 - mmseg - INFO - Iter [98100/160000] lr: 1.192e-05, eta: 4:45:09, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2354, decode.acc_seg: 73.2952, aux.loss_ce: 0.1124, aux.acc_seg: 72.1320, loss: 0.3478 +2022-06-19 08:44:33,636 - mmseg - INFO - Iter [98150/160000] lr: 1.191e-05, eta: 4:44:55, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2254, decode.acc_seg: 72.1476, aux.loss_ce: 0.1071, aux.acc_seg: 71.0328, loss: 0.3325 +2022-06-19 08:44:46,984 - mmseg - INFO - Iter [98200/160000] lr: 1.190e-05, eta: 4:44:41, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2580, decode.acc_seg: 73.2960, aux.loss_ce: 0.1211, aux.acc_seg: 72.0293, loss: 0.3790 +2022-06-19 08:45:00,263 - mmseg - INFO - Iter [98250/160000] lr: 1.189e-05, eta: 4:44:27, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2431, decode.acc_seg: 71.7081, aux.loss_ce: 0.1158, aux.acc_seg: 70.4613, loss: 0.3589 +2022-06-19 08:45:13,815 - mmseg - INFO - Iter [98300/160000] lr: 1.188e-05, eta: 4:44:13, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2272, decode.acc_seg: 73.6169, aux.loss_ce: 0.1062, aux.acc_seg: 72.6578, loss: 0.3334 +2022-06-19 08:45:27,194 - mmseg - INFO - Iter [98350/160000] lr: 1.187e-05, eta: 4:43:59, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2403, decode.acc_seg: 74.2954, aux.loss_ce: 0.1111, aux.acc_seg: 73.3842, loss: 0.3514 +2022-06-19 08:45:40,651 - mmseg - INFO - Iter [98400/160000] lr: 1.186e-05, eta: 4:43:45, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2276, decode.acc_seg: 72.6386, aux.loss_ce: 0.1068, aux.acc_seg: 71.5336, loss: 0.3344 +2022-06-19 08:45:54,183 - mmseg - INFO - Iter [98450/160000] lr: 1.185e-05, eta: 4:43:31, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2267, decode.acc_seg: 73.2922, aux.loss_ce: 0.1074, aux.acc_seg: 72.1704, loss: 0.3341 +2022-06-19 08:46:07,707 - mmseg - INFO - Iter [98500/160000] lr: 1.184e-05, eta: 4:43:17, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2286, decode.acc_seg: 72.9699, aux.loss_ce: 0.1092, aux.acc_seg: 71.8867, loss: 0.3378 +2022-06-19 08:46:23,162 - mmseg - INFO - Iter [98550/160000] lr: 1.183e-05, eta: 4:43:04, time: 0.309, data_time: 0.048, memory: 56924, decode.loss_ce: 0.2209, decode.acc_seg: 72.1277, aux.loss_ce: 0.1040, aux.acc_seg: 71.1462, loss: 0.3249 +2022-06-19 08:46:36,853 - mmseg - INFO - Iter [98600/160000] lr: 1.182e-05, eta: 4:42:50, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2351, decode.acc_seg: 73.5415, aux.loss_ce: 0.1113, aux.acc_seg: 72.4338, loss: 0.3463 +2022-06-19 08:46:50,459 - mmseg - INFO - Iter [98650/160000] lr: 1.181e-05, eta: 4:42:36, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2125, decode.acc_seg: 73.4120, aux.loss_ce: 0.1016, aux.acc_seg: 72.3432, loss: 0.3141 +2022-06-19 08:47:03,821 - mmseg - INFO - Iter [98700/160000] lr: 1.180e-05, eta: 4:42:22, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2252, decode.acc_seg: 74.0668, aux.loss_ce: 0.1070, aux.acc_seg: 72.9436, loss: 0.3322 +2022-06-19 08:47:17,118 - mmseg - INFO - Iter [98750/160000] lr: 1.179e-05, eta: 4:42:08, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2319, decode.acc_seg: 72.7933, aux.loss_ce: 0.1100, aux.acc_seg: 71.6692, loss: 0.3420 +2022-06-19 08:47:30,443 - mmseg - INFO - Iter [98800/160000] lr: 1.178e-05, eta: 4:41:54, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2382, decode.acc_seg: 72.6110, aux.loss_ce: 0.1129, aux.acc_seg: 71.3316, loss: 0.3511 +2022-06-19 08:47:43,752 - mmseg - INFO - Iter [98850/160000] lr: 1.177e-05, eta: 4:41:39, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2415, decode.acc_seg: 73.0017, aux.loss_ce: 0.1140, aux.acc_seg: 71.9159, loss: 0.3555 +2022-06-19 08:47:57,192 - mmseg - INFO - Iter [98900/160000] lr: 1.176e-05, eta: 4:41:25, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2293, decode.acc_seg: 72.4739, aux.loss_ce: 0.1063, aux.acc_seg: 71.5246, loss: 0.3356 +2022-06-19 08:48:10,771 - mmseg - INFO - Iter [98950/160000] lr: 1.175e-05, eta: 4:41:11, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2440, decode.acc_seg: 72.0556, aux.loss_ce: 0.1145, aux.acc_seg: 70.8989, loss: 0.3585 +2022-06-19 08:48:24,194 - mmseg - INFO - Saving checkpoint at 99000 iterations +2022-06-19 08:48:27,104 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 08:48:27,104 - mmseg - INFO - Iter [99000/160000] lr: 1.174e-05, eta: 4:40:59, time: 0.327, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2327, decode.acc_seg: 73.1754, aux.loss_ce: 0.1098, aux.acc_seg: 72.1760, loss: 0.3425 +2022-06-19 08:48:40,559 - mmseg - INFO - Iter [99050/160000] lr: 1.173e-05, eta: 4:40:45, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2198, decode.acc_seg: 74.0574, aux.loss_ce: 0.1047, aux.acc_seg: 72.9035, loss: 0.3245 +2022-06-19 08:48:54,157 - mmseg - INFO - Iter [99100/160000] lr: 1.172e-05, eta: 4:40:31, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2405, decode.acc_seg: 74.4160, aux.loss_ce: 0.1121, aux.acc_seg: 73.4531, loss: 0.3526 +2022-06-19 08:49:07,762 - mmseg - INFO - Iter [99150/160000] lr: 1.171e-05, eta: 4:40:17, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2235, decode.acc_seg: 73.4697, aux.loss_ce: 0.1056, aux.acc_seg: 72.4726, loss: 0.3291 +2022-06-19 08:49:21,060 - mmseg - INFO - Iter [99200/160000] lr: 1.170e-05, eta: 4:40:03, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2264, decode.acc_seg: 75.3440, aux.loss_ce: 0.1059, aux.acc_seg: 74.3365, loss: 0.3324 +2022-06-19 08:49:34,269 - mmseg - INFO - Iter [99250/160000] lr: 1.169e-05, eta: 4:39:49, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2355, decode.acc_seg: 73.9511, aux.loss_ce: 0.1111, aux.acc_seg: 72.8592, loss: 0.3466 +2022-06-19 08:49:47,496 - mmseg - INFO - Iter [99300/160000] lr: 1.169e-05, eta: 4:39:35, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2424, decode.acc_seg: 73.3585, aux.loss_ce: 0.1145, aux.acc_seg: 72.2807, loss: 0.3569 +2022-06-19 08:50:00,764 - mmseg - INFO - Iter [99350/160000] lr: 1.168e-05, eta: 4:39:21, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2466, decode.acc_seg: 72.7528, aux.loss_ce: 0.1149, aux.acc_seg: 71.6064, loss: 0.3615 +2022-06-19 08:50:14,188 - mmseg - INFO - Iter [99400/160000] lr: 1.167e-05, eta: 4:39:06, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2244, decode.acc_seg: 73.4413, aux.loss_ce: 0.1067, aux.acc_seg: 72.3866, loss: 0.3311 +2022-06-19 08:50:27,403 - mmseg - INFO - Iter [99450/160000] lr: 1.166e-05, eta: 4:38:52, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2143, decode.acc_seg: 74.1496, aux.loss_ce: 0.1016, aux.acc_seg: 73.0166, loss: 0.3159 +2022-06-19 08:50:40,733 - mmseg - INFO - Iter [99500/160000] lr: 1.165e-05, eta: 4:38:38, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2296, decode.acc_seg: 73.6238, aux.loss_ce: 0.1101, aux.acc_seg: 72.4313, loss: 0.3397 +2022-06-19 08:50:53,878 - mmseg - INFO - Iter [99550/160000] lr: 1.164e-05, eta: 4:38:24, time: 0.263, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2281, decode.acc_seg: 74.1815, aux.loss_ce: 0.1070, aux.acc_seg: 73.1381, loss: 0.3351 +2022-06-19 08:51:07,247 - mmseg - INFO - Iter [99600/160000] lr: 1.163e-05, eta: 4:38:10, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2339, decode.acc_seg: 73.8296, aux.loss_ce: 0.1121, aux.acc_seg: 72.6806, loss: 0.3460 +2022-06-19 08:51:20,543 - mmseg - INFO - Iter [99650/160000] lr: 1.162e-05, eta: 4:37:56, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2323, decode.acc_seg: 73.8093, aux.loss_ce: 0.1107, aux.acc_seg: 72.6092, loss: 0.3430 +2022-06-19 08:51:33,964 - mmseg - INFO - Iter [99700/160000] lr: 1.161e-05, eta: 4:37:42, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2349, decode.acc_seg: 73.2486, aux.loss_ce: 0.1101, aux.acc_seg: 72.1746, loss: 0.3450 +2022-06-19 08:51:47,541 - mmseg - INFO - Iter [99750/160000] lr: 1.160e-05, eta: 4:37:28, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2312, decode.acc_seg: 72.7377, aux.loss_ce: 0.1098, aux.acc_seg: 71.6159, loss: 0.3410 +2022-06-19 08:52:03,385 - mmseg - INFO - Iter [99800/160000] lr: 1.159e-05, eta: 4:37:15, time: 0.317, data_time: 0.049, memory: 56924, decode.loss_ce: 0.2083, decode.acc_seg: 73.3222, aux.loss_ce: 0.1000, aux.acc_seg: 72.2423, loss: 0.3083 +2022-06-19 08:52:16,740 - mmseg - INFO - Iter [99850/160000] lr: 1.158e-05, eta: 4:37:01, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2380, decode.acc_seg: 73.6334, aux.loss_ce: 0.1105, aux.acc_seg: 72.6048, loss: 0.3485 +2022-06-19 08:52:30,429 - mmseg - INFO - Iter [99900/160000] lr: 1.157e-05, eta: 4:36:47, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2446, decode.acc_seg: 72.0134, aux.loss_ce: 0.1154, aux.acc_seg: 70.8185, loss: 0.3600 +2022-06-19 08:52:43,729 - mmseg - INFO - Iter [99950/160000] lr: 1.156e-05, eta: 4:36:33, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2367, decode.acc_seg: 72.6850, aux.loss_ce: 0.1103, aux.acc_seg: 71.6412, loss: 0.3470 +2022-06-19 08:52:56,797 - mmseg - INFO - Saving checkpoint at 100000 iterations +2022-06-19 08:52:59,687 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 08:52:59,687 - mmseg - INFO - Iter [100000/160000] lr: 1.155e-05, eta: 4:36:20, time: 0.320, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2358, decode.acc_seg: 74.2792, aux.loss_ce: 0.1117, aux.acc_seg: 73.1068, loss: 0.3475 +2022-06-19 08:53:13,041 - mmseg - INFO - Iter [100050/160000] lr: 1.154e-05, eta: 4:36:06, time: 0.267, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2268, decode.acc_seg: 73.9613, aux.loss_ce: 0.1073, aux.acc_seg: 72.8229, loss: 0.3341 +2022-06-19 08:53:26,339 - mmseg - INFO - Iter [100100/160000] lr: 1.153e-05, eta: 4:35:52, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2414, decode.acc_seg: 72.7337, aux.loss_ce: 0.1142, aux.acc_seg: 71.6787, loss: 0.3556 +2022-06-19 08:53:39,755 - mmseg - INFO - Iter [100150/160000] lr: 1.152e-05, eta: 4:35:38, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2302, decode.acc_seg: 72.3937, aux.loss_ce: 0.1074, aux.acc_seg: 71.4252, loss: 0.3376 +2022-06-19 08:53:53,121 - mmseg - INFO - Iter [100200/160000] lr: 1.151e-05, eta: 4:35:24, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2276, decode.acc_seg: 73.7257, aux.loss_ce: 0.1072, aux.acc_seg: 72.7432, loss: 0.3348 +2022-06-19 08:54:06,664 - mmseg - INFO - Iter [100250/160000] lr: 1.150e-05, eta: 4:35:10, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2391, decode.acc_seg: 72.6347, aux.loss_ce: 0.1128, aux.acc_seg: 71.6888, loss: 0.3519 +2022-06-19 08:54:20,178 - mmseg - INFO - Iter [100300/160000] lr: 1.149e-05, eta: 4:34:56, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2204, decode.acc_seg: 74.5511, aux.loss_ce: 0.1044, aux.acc_seg: 73.4380, loss: 0.3248 +2022-06-19 08:54:33,651 - mmseg - INFO - Iter [100350/160000] lr: 1.148e-05, eta: 4:34:42, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2124, decode.acc_seg: 73.7140, aux.loss_ce: 0.0995, aux.acc_seg: 72.7415, loss: 0.3119 +2022-06-19 08:54:47,086 - mmseg - INFO - Iter [100400/160000] lr: 1.147e-05, eta: 4:34:28, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2326, decode.acc_seg: 73.0074, aux.loss_ce: 0.1100, aux.acc_seg: 71.8781, loss: 0.3427 +2022-06-19 08:55:00,516 - mmseg - INFO - Iter [100450/160000] lr: 1.146e-05, eta: 4:34:14, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2274, decode.acc_seg: 72.5129, aux.loss_ce: 0.1082, aux.acc_seg: 71.4772, loss: 0.3356 +2022-06-19 08:55:13,860 - mmseg - INFO - Iter [100500/160000] lr: 1.145e-05, eta: 4:34:00, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2320, decode.acc_seg: 72.1964, aux.loss_ce: 0.1101, aux.acc_seg: 71.0388, loss: 0.3421 +2022-06-19 08:55:27,265 - mmseg - INFO - Iter [100550/160000] lr: 1.144e-05, eta: 4:33:46, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2261, decode.acc_seg: 72.5017, aux.loss_ce: 0.1060, aux.acc_seg: 71.4089, loss: 0.3321 +2022-06-19 08:55:40,580 - mmseg - INFO - Iter [100600/160000] lr: 1.143e-05, eta: 4:33:32, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2381, decode.acc_seg: 73.6026, aux.loss_ce: 0.1108, aux.acc_seg: 72.6184, loss: 0.3489 +2022-06-19 08:55:53,944 - mmseg - INFO - Iter [100650/160000] lr: 1.143e-05, eta: 4:33:18, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2223, decode.acc_seg: 72.1896, aux.loss_ce: 0.1053, aux.acc_seg: 71.0598, loss: 0.3276 +2022-06-19 08:56:07,290 - mmseg - INFO - Iter [100700/160000] lr: 1.142e-05, eta: 4:33:04, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2304, decode.acc_seg: 72.7840, aux.loss_ce: 0.1095, aux.acc_seg: 71.5185, loss: 0.3399 +2022-06-19 08:56:20,657 - mmseg - INFO - Iter [100750/160000] lr: 1.141e-05, eta: 4:32:50, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2256, decode.acc_seg: 74.0046, aux.loss_ce: 0.1047, aux.acc_seg: 73.1558, loss: 0.3303 +2022-06-19 08:56:34,251 - mmseg - INFO - Iter [100800/160000] lr: 1.140e-05, eta: 4:32:36, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2373, decode.acc_seg: 73.1750, aux.loss_ce: 0.1108, aux.acc_seg: 72.1072, loss: 0.3481 +2022-06-19 08:56:47,822 - mmseg - INFO - Iter [100850/160000] lr: 1.139e-05, eta: 4:32:22, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2418, decode.acc_seg: 73.2057, aux.loss_ce: 0.1149, aux.acc_seg: 71.9838, loss: 0.3567 +2022-06-19 08:57:01,276 - mmseg - INFO - Iter [100900/160000] lr: 1.138e-05, eta: 4:32:08, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2375, decode.acc_seg: 74.0730, aux.loss_ce: 0.1115, aux.acc_seg: 72.9882, loss: 0.3490 +2022-06-19 08:57:14,727 - mmseg - INFO - Iter [100950/160000] lr: 1.137e-05, eta: 4:31:54, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2285, decode.acc_seg: 73.4474, aux.loss_ce: 0.1080, aux.acc_seg: 72.2904, loss: 0.3366 +2022-06-19 08:57:28,015 - mmseg - INFO - Saving checkpoint at 101000 iterations +2022-06-19 08:57:30,916 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 08:57:30,917 - mmseg - INFO - Iter [101000/160000] lr: 1.136e-05, eta: 4:31:41, time: 0.325, data_time: 0.006, memory: 56924, decode.loss_ce: 0.2134, decode.acc_seg: 73.5231, aux.loss_ce: 0.1024, aux.acc_seg: 72.2772, loss: 0.3158 +2022-06-19 08:57:46,529 - mmseg - INFO - Iter [101050/160000] lr: 1.135e-05, eta: 4:31:28, time: 0.312, data_time: 0.048, memory: 56924, decode.loss_ce: 0.2247, decode.acc_seg: 73.3577, aux.loss_ce: 0.1052, aux.acc_seg: 72.4247, loss: 0.3299 +2022-06-19 08:57:59,768 - mmseg - INFO - Iter [101100/160000] lr: 1.134e-05, eta: 4:31:14, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2389, decode.acc_seg: 73.2667, aux.loss_ce: 0.1140, aux.acc_seg: 72.0891, loss: 0.3528 +2022-06-19 08:58:13,172 - mmseg - INFO - Iter [101150/160000] lr: 1.133e-05, eta: 4:31:00, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2338, decode.acc_seg: 72.8564, aux.loss_ce: 0.1092, aux.acc_seg: 71.9242, loss: 0.3431 +2022-06-19 08:58:26,687 - mmseg - INFO - Iter [101200/160000] lr: 1.132e-05, eta: 4:30:46, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2116, decode.acc_seg: 72.4833, aux.loss_ce: 0.1005, aux.acc_seg: 71.4761, loss: 0.3121 +2022-06-19 08:58:40,210 - mmseg - INFO - Iter [101250/160000] lr: 1.131e-05, eta: 4:30:32, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2235, decode.acc_seg: 74.4057, aux.loss_ce: 0.1064, aux.acc_seg: 73.2833, loss: 0.3299 +2022-06-19 08:58:53,606 - mmseg - INFO - Iter [101300/160000] lr: 1.130e-05, eta: 4:30:18, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2317, decode.acc_seg: 73.0858, aux.loss_ce: 0.1079, aux.acc_seg: 72.1326, loss: 0.3397 +2022-06-19 08:59:06,832 - mmseg - INFO - Iter [101350/160000] lr: 1.129e-05, eta: 4:30:04, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2229, decode.acc_seg: 74.3242, aux.loss_ce: 0.1068, aux.acc_seg: 73.2174, loss: 0.3298 +2022-06-19 08:59:20,629 - mmseg - INFO - Iter [101400/160000] lr: 1.128e-05, eta: 4:29:50, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2232, decode.acc_seg: 74.3609, aux.loss_ce: 0.1055, aux.acc_seg: 73.2857, loss: 0.3287 +2022-06-19 08:59:34,059 - mmseg - INFO - Iter [101450/160000] lr: 1.127e-05, eta: 4:29:36, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2364, decode.acc_seg: 73.7660, aux.loss_ce: 0.1127, aux.acc_seg: 72.6546, loss: 0.3491 +2022-06-19 08:59:47,555 - mmseg - INFO - Iter [101500/160000] lr: 1.126e-05, eta: 4:29:22, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2146, decode.acc_seg: 73.4946, aux.loss_ce: 0.1034, aux.acc_seg: 72.3384, loss: 0.3181 +2022-06-19 09:00:01,003 - mmseg - INFO - Iter [101550/160000] lr: 1.125e-05, eta: 4:29:08, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2329, decode.acc_seg: 72.3898, aux.loss_ce: 0.1088, aux.acc_seg: 71.4810, loss: 0.3417 +2022-06-19 09:00:14,692 - mmseg - INFO - Iter [101600/160000] lr: 1.124e-05, eta: 4:28:54, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2308, decode.acc_seg: 72.6498, aux.loss_ce: 0.1120, aux.acc_seg: 71.5122, loss: 0.3428 +2022-06-19 09:00:28,203 - mmseg - INFO - Iter [101650/160000] lr: 1.123e-05, eta: 4:28:40, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2347, decode.acc_seg: 74.2013, aux.loss_ce: 0.1110, aux.acc_seg: 73.1041, loss: 0.3457 +2022-06-19 09:00:41,748 - mmseg - INFO - Iter [101700/160000] lr: 1.122e-05, eta: 4:28:26, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2191, decode.acc_seg: 73.9621, aux.loss_ce: 0.1041, aux.acc_seg: 72.9071, loss: 0.3232 +2022-06-19 09:00:55,054 - mmseg - INFO - Iter [101750/160000] lr: 1.121e-05, eta: 4:28:12, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2201, decode.acc_seg: 73.2720, aux.loss_ce: 0.1051, aux.acc_seg: 72.1419, loss: 0.3253 +2022-06-19 09:01:08,634 - mmseg - INFO - Iter [101800/160000] lr: 1.120e-05, eta: 4:27:58, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2374, decode.acc_seg: 72.4049, aux.loss_ce: 0.1122, aux.acc_seg: 71.3318, loss: 0.3497 +2022-06-19 09:01:21,951 - mmseg - INFO - Iter [101850/160000] lr: 1.119e-05, eta: 4:27:44, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2428, decode.acc_seg: 73.0849, aux.loss_ce: 0.1140, aux.acc_seg: 72.0189, loss: 0.3568 +2022-06-19 09:01:35,549 - mmseg - INFO - Iter [101900/160000] lr: 1.118e-05, eta: 4:27:30, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2285, decode.acc_seg: 73.7327, aux.loss_ce: 0.1085, aux.acc_seg: 72.6353, loss: 0.3370 +2022-06-19 09:01:48,925 - mmseg - INFO - Iter [101950/160000] lr: 1.118e-05, eta: 4:27:16, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2162, decode.acc_seg: 71.0223, aux.loss_ce: 0.1033, aux.acc_seg: 69.8419, loss: 0.3194 +2022-06-19 09:02:02,427 - mmseg - INFO - Saving checkpoint at 102000 iterations +2022-06-19 09:02:05,356 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 09:02:05,356 - mmseg - INFO - Iter [102000/160000] lr: 1.117e-05, eta: 4:27:04, time: 0.329, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2226, decode.acc_seg: 72.9661, aux.loss_ce: 0.1049, aux.acc_seg: 72.0043, loss: 0.3275 +2022-06-19 09:02:18,750 - mmseg - INFO - Iter [102050/160000] lr: 1.116e-05, eta: 4:26:50, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2304, decode.acc_seg: 72.5939, aux.loss_ce: 0.1100, aux.acc_seg: 71.4802, loss: 0.3404 +2022-06-19 09:02:32,313 - mmseg - INFO - Iter [102100/160000] lr: 1.115e-05, eta: 4:26:36, time: 0.271, data_time: 0.010, memory: 56924, decode.loss_ce: 0.2250, decode.acc_seg: 72.6909, aux.loss_ce: 0.1047, aux.acc_seg: 71.7696, loss: 0.3297 +2022-06-19 09:02:45,891 - mmseg - INFO - Iter [102150/160000] lr: 1.114e-05, eta: 4:26:22, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2337, decode.acc_seg: 71.8169, aux.loss_ce: 0.1102, aux.acc_seg: 70.7401, loss: 0.3439 +2022-06-19 09:02:59,453 - mmseg - INFO - Iter [102200/160000] lr: 1.113e-05, eta: 4:26:08, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2297, decode.acc_seg: 74.6848, aux.loss_ce: 0.1084, aux.acc_seg: 73.6437, loss: 0.3381 +2022-06-19 09:03:12,697 - mmseg - INFO - Iter [102250/160000] lr: 1.112e-05, eta: 4:25:54, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2348, decode.acc_seg: 73.6601, aux.loss_ce: 0.1102, aux.acc_seg: 72.7365, loss: 0.3449 +2022-06-19 09:03:25,981 - mmseg - INFO - Iter [102300/160000] lr: 1.111e-05, eta: 4:25:40, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2536, decode.acc_seg: 72.7317, aux.loss_ce: 0.1183, aux.acc_seg: 71.5954, loss: 0.3718 +2022-06-19 09:03:41,937 - mmseg - INFO - Iter [102350/160000] lr: 1.110e-05, eta: 4:25:27, time: 0.319, data_time: 0.050, memory: 56924, decode.loss_ce: 0.2176, decode.acc_seg: 74.5662, aux.loss_ce: 0.1027, aux.acc_seg: 73.5184, loss: 0.3203 +2022-06-19 09:03:55,224 - mmseg - INFO - Iter [102400/160000] lr: 1.109e-05, eta: 4:25:13, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2130, decode.acc_seg: 72.9609, aux.loss_ce: 0.1022, aux.acc_seg: 71.9019, loss: 0.3152 +2022-06-19 09:04:08,488 - mmseg - INFO - Iter [102450/160000] lr: 1.108e-05, eta: 4:24:59, time: 0.265, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2300, decode.acc_seg: 72.9268, aux.loss_ce: 0.1065, aux.acc_seg: 72.1256, loss: 0.3365 +2022-06-19 09:04:22,027 - mmseg - INFO - Iter [102500/160000] lr: 1.107e-05, eta: 4:24:45, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2227, decode.acc_seg: 73.8128, aux.loss_ce: 0.1050, aux.acc_seg: 72.7228, loss: 0.3277 +2022-06-19 09:04:35,629 - mmseg - INFO - Iter [102550/160000] lr: 1.106e-05, eta: 4:24:31, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2264, decode.acc_seg: 73.4828, aux.loss_ce: 0.1050, aux.acc_seg: 72.6447, loss: 0.3314 +2022-06-19 09:04:48,995 - mmseg - INFO - Iter [102600/160000] lr: 1.105e-05, eta: 4:24:17, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2383, decode.acc_seg: 72.6350, aux.loss_ce: 0.1120, aux.acc_seg: 71.6570, loss: 0.3504 +2022-06-19 09:05:02,591 - mmseg - INFO - Iter [102650/160000] lr: 1.104e-05, eta: 4:24:03, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2222, decode.acc_seg: 73.0025, aux.loss_ce: 0.1044, aux.acc_seg: 71.9157, loss: 0.3266 +2022-06-19 09:05:16,054 - mmseg - INFO - Iter [102700/160000] lr: 1.103e-05, eta: 4:23:49, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2432, decode.acc_seg: 72.7925, aux.loss_ce: 0.1168, aux.acc_seg: 71.5211, loss: 0.3600 +2022-06-19 09:05:29,740 - mmseg - INFO - Iter [102750/160000] lr: 1.102e-05, eta: 4:23:35, time: 0.274, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2397, decode.acc_seg: 73.1817, aux.loss_ce: 0.1130, aux.acc_seg: 72.1567, loss: 0.3527 +2022-06-19 09:05:43,162 - mmseg - INFO - Iter [102800/160000] lr: 1.101e-05, eta: 4:23:21, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2239, decode.acc_seg: 72.1863, aux.loss_ce: 0.1076, aux.acc_seg: 70.9761, loss: 0.3315 +2022-06-19 09:05:56,578 - mmseg - INFO - Iter [102850/160000] lr: 1.100e-05, eta: 4:23:07, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2154, decode.acc_seg: 73.3486, aux.loss_ce: 0.1035, aux.acc_seg: 72.2057, loss: 0.3189 +2022-06-19 09:06:10,243 - mmseg - INFO - Iter [102900/160000] lr: 1.099e-05, eta: 4:22:53, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2255, decode.acc_seg: 72.4406, aux.loss_ce: 0.1062, aux.acc_seg: 71.3574, loss: 0.3316 +2022-06-19 09:06:23,690 - mmseg - INFO - Iter [102950/160000] lr: 1.098e-05, eta: 4:22:39, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2227, decode.acc_seg: 73.0598, aux.loss_ce: 0.1047, aux.acc_seg: 72.0166, loss: 0.3273 +2022-06-19 09:06:36,998 - mmseg - INFO - Saving checkpoint at 103000 iterations +2022-06-19 09:06:39,900 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 09:06:39,900 - mmseg - INFO - Iter [103000/160000] lr: 1.097e-05, eta: 4:22:27, time: 0.325, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2402, decode.acc_seg: 72.6293, aux.loss_ce: 0.1127, aux.acc_seg: 71.6458, loss: 0.3529 +2022-06-19 09:06:53,424 - mmseg - INFO - Iter [103050/160000] lr: 1.096e-05, eta: 4:22:13, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2268, decode.acc_seg: 72.4713, aux.loss_ce: 0.1058, aux.acc_seg: 71.4947, loss: 0.3326 +2022-06-19 09:07:06,934 - mmseg - INFO - Iter [103100/160000] lr: 1.095e-05, eta: 4:21:59, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2249, decode.acc_seg: 73.1711, aux.loss_ce: 0.1058, aux.acc_seg: 72.1907, loss: 0.3306 +2022-06-19 09:07:20,352 - mmseg - INFO - Iter [103150/160000] lr: 1.094e-05, eta: 4:21:45, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2396, decode.acc_seg: 74.0826, aux.loss_ce: 0.1127, aux.acc_seg: 73.0306, loss: 0.3523 +2022-06-19 09:07:33,878 - mmseg - INFO - Iter [103200/160000] lr: 1.093e-05, eta: 4:21:31, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2290, decode.acc_seg: 73.3978, aux.loss_ce: 0.1071, aux.acc_seg: 72.3969, loss: 0.3360 +2022-06-19 09:07:46,996 - mmseg - INFO - Iter [103250/160000] lr: 1.092e-05, eta: 4:21:16, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2103, decode.acc_seg: 72.6048, aux.loss_ce: 0.0992, aux.acc_seg: 71.5576, loss: 0.3095 +2022-06-19 09:08:00,319 - mmseg - INFO - Iter [103300/160000] lr: 1.092e-05, eta: 4:21:02, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2190, decode.acc_seg: 72.5984, aux.loss_ce: 0.1026, aux.acc_seg: 71.5509, loss: 0.3216 +2022-06-19 09:08:13,739 - mmseg - INFO - Iter [103350/160000] lr: 1.091e-05, eta: 4:20:48, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2141, decode.acc_seg: 72.6999, aux.loss_ce: 0.1038, aux.acc_seg: 71.6183, loss: 0.3179 +2022-06-19 09:08:27,378 - mmseg - INFO - Iter [103400/160000] lr: 1.090e-05, eta: 4:20:34, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2311, decode.acc_seg: 74.1790, aux.loss_ce: 0.1090, aux.acc_seg: 73.1210, loss: 0.3400 +2022-06-19 09:08:40,688 - mmseg - INFO - Iter [103450/160000] lr: 1.089e-05, eta: 4:20:20, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2240, decode.acc_seg: 72.5711, aux.loss_ce: 0.1061, aux.acc_seg: 71.6218, loss: 0.3300 +2022-06-19 09:08:53,744 - mmseg - INFO - Iter [103500/160000] lr: 1.088e-05, eta: 4:20:06, time: 0.261, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2240, decode.acc_seg: 73.5188, aux.loss_ce: 0.1074, aux.acc_seg: 72.3346, loss: 0.3314 +2022-06-19 09:09:07,107 - mmseg - INFO - Iter [103550/160000] lr: 1.087e-05, eta: 4:19:52, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2240, decode.acc_seg: 73.2883, aux.loss_ce: 0.1053, aux.acc_seg: 72.3022, loss: 0.3293 +2022-06-19 09:09:22,670 - mmseg - INFO - Iter [103600/160000] lr: 1.086e-05, eta: 4:19:39, time: 0.311, data_time: 0.051, memory: 56924, decode.loss_ce: 0.2234, decode.acc_seg: 73.2666, aux.loss_ce: 0.1053, aux.acc_seg: 72.2380, loss: 0.3287 +2022-06-19 09:09:35,870 - mmseg - INFO - Iter [103650/160000] lr: 1.085e-05, eta: 4:19:25, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2250, decode.acc_seg: 72.3493, aux.loss_ce: 0.1068, aux.acc_seg: 71.2267, loss: 0.3318 +2022-06-19 09:09:49,439 - mmseg - INFO - Iter [103700/160000] lr: 1.084e-05, eta: 4:19:11, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2286, decode.acc_seg: 74.4181, aux.loss_ce: 0.1105, aux.acc_seg: 73.0674, loss: 0.3392 +2022-06-19 09:10:02,492 - mmseg - INFO - Iter [103750/160000] lr: 1.083e-05, eta: 4:18:57, time: 0.261, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2312, decode.acc_seg: 73.8259, aux.loss_ce: 0.1103, aux.acc_seg: 72.7492, loss: 0.3415 +2022-06-19 09:10:15,895 - mmseg - INFO - Iter [103800/160000] lr: 1.082e-05, eta: 4:18:43, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2185, decode.acc_seg: 73.5881, aux.loss_ce: 0.1047, aux.acc_seg: 72.3871, loss: 0.3231 +2022-06-19 09:10:29,387 - mmseg - INFO - Iter [103850/160000] lr: 1.081e-05, eta: 4:18:29, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2204, decode.acc_seg: 73.5324, aux.loss_ce: 0.1062, aux.acc_seg: 72.3093, loss: 0.3266 +2022-06-19 09:10:43,085 - mmseg - INFO - Iter [103900/160000] lr: 1.080e-05, eta: 4:18:15, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2163, decode.acc_seg: 73.8487, aux.loss_ce: 0.1027, aux.acc_seg: 72.8008, loss: 0.3190 +2022-06-19 09:10:56,626 - mmseg - INFO - Iter [103950/160000] lr: 1.079e-05, eta: 4:18:01, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2294, decode.acc_seg: 72.8342, aux.loss_ce: 0.1101, aux.acc_seg: 71.6712, loss: 0.3395 +2022-06-19 09:11:10,272 - mmseg - INFO - Saving checkpoint at 104000 iterations +2022-06-19 09:11:13,180 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 09:11:13,180 - mmseg - INFO - Iter [104000/160000] lr: 1.078e-05, eta: 4:17:49, time: 0.331, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2079, decode.acc_seg: 73.9637, aux.loss_ce: 0.0984, aux.acc_seg: 72.9278, loss: 0.3063 +2022-06-19 09:11:26,832 - mmseg - INFO - Iter [104050/160000] lr: 1.077e-05, eta: 4:17:35, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2268, decode.acc_seg: 74.3347, aux.loss_ce: 0.1076, aux.acc_seg: 73.2901, loss: 0.3343 +2022-06-19 09:11:40,227 - mmseg - INFO - Iter [104100/160000] lr: 1.076e-05, eta: 4:17:21, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2297, decode.acc_seg: 73.3149, aux.loss_ce: 0.1095, aux.acc_seg: 72.2121, loss: 0.3392 +2022-06-19 09:11:53,540 - mmseg - INFO - Iter [104150/160000] lr: 1.075e-05, eta: 4:17:07, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2331, decode.acc_seg: 73.9794, aux.loss_ce: 0.1104, aux.acc_seg: 72.8630, loss: 0.3434 +2022-06-19 09:12:06,955 - mmseg - INFO - Iter [104200/160000] lr: 1.074e-05, eta: 4:16:53, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2210, decode.acc_seg: 73.7568, aux.loss_ce: 0.1054, aux.acc_seg: 72.7818, loss: 0.3265 +2022-06-19 09:12:20,364 - mmseg - INFO - Iter [104250/160000] lr: 1.073e-05, eta: 4:16:39, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2158, decode.acc_seg: 73.5503, aux.loss_ce: 0.1020, aux.acc_seg: 72.5363, loss: 0.3178 +2022-06-19 09:12:33,632 - mmseg - INFO - Iter [104300/160000] lr: 1.072e-05, eta: 4:16:25, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2219, decode.acc_seg: 71.8028, aux.loss_ce: 0.1067, aux.acc_seg: 70.6696, loss: 0.3286 +2022-06-19 09:12:46,784 - mmseg - INFO - Iter [104350/160000] lr: 1.071e-05, eta: 4:16:10, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2201, decode.acc_seg: 73.9526, aux.loss_ce: 0.1060, aux.acc_seg: 72.7444, loss: 0.3261 +2022-06-19 09:13:00,414 - mmseg - INFO - Iter [104400/160000] lr: 1.070e-05, eta: 4:15:56, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2355, decode.acc_seg: 73.8591, aux.loss_ce: 0.1115, aux.acc_seg: 72.5741, loss: 0.3471 +2022-06-19 09:13:13,791 - mmseg - INFO - Iter [104450/160000] lr: 1.069e-05, eta: 4:15:42, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2166, decode.acc_seg: 73.8445, aux.loss_ce: 0.1021, aux.acc_seg: 72.9416, loss: 0.3187 +2022-06-19 09:13:27,046 - mmseg - INFO - Iter [104500/160000] lr: 1.068e-05, eta: 4:15:28, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2232, decode.acc_seg: 72.9794, aux.loss_ce: 0.1061, aux.acc_seg: 71.9155, loss: 0.3294 +2022-06-19 09:13:40,389 - mmseg - INFO - Iter [104550/160000] lr: 1.067e-05, eta: 4:15:14, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2164, decode.acc_seg: 73.3128, aux.loss_ce: 0.1024, aux.acc_seg: 72.2851, loss: 0.3188 +2022-06-19 09:13:53,840 - mmseg - INFO - Iter [104600/160000] lr: 1.066e-05, eta: 4:15:00, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2262, decode.acc_seg: 72.9248, aux.loss_ce: 0.1075, aux.acc_seg: 71.8484, loss: 0.3337 +2022-06-19 09:14:07,323 - mmseg - INFO - Iter [104650/160000] lr: 1.066e-05, eta: 4:14:46, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2350, decode.acc_seg: 73.0928, aux.loss_ce: 0.1106, aux.acc_seg: 72.1047, loss: 0.3456 +2022-06-19 09:14:20,603 - mmseg - INFO - Iter [104700/160000] lr: 1.065e-05, eta: 4:14:32, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2399, decode.acc_seg: 73.4688, aux.loss_ce: 0.1127, aux.acc_seg: 72.4809, loss: 0.3526 +2022-06-19 09:14:33,916 - mmseg - INFO - Iter [104750/160000] lr: 1.064e-05, eta: 4:14:18, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2253, decode.acc_seg: 73.3423, aux.loss_ce: 0.1058, aux.acc_seg: 72.2815, loss: 0.3311 +2022-06-19 09:14:47,456 - mmseg - INFO - Iter [104800/160000] lr: 1.063e-05, eta: 4:14:04, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2391, decode.acc_seg: 73.0146, aux.loss_ce: 0.1135, aux.acc_seg: 71.8548, loss: 0.3526 +2022-06-19 09:15:02,796 - mmseg - INFO - Iter [104850/160000] lr: 1.062e-05, eta: 4:13:51, time: 0.306, data_time: 0.049, memory: 56924, decode.loss_ce: 0.2138, decode.acc_seg: 73.8542, aux.loss_ce: 0.1024, aux.acc_seg: 72.7871, loss: 0.3162 +2022-06-19 09:15:16,522 - mmseg - INFO - Iter [104900/160000] lr: 1.061e-05, eta: 4:13:37, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2158, decode.acc_seg: 73.6042, aux.loss_ce: 0.1006, aux.acc_seg: 72.6808, loss: 0.3164 +2022-06-19 09:15:30,098 - mmseg - INFO - Iter [104950/160000] lr: 1.060e-05, eta: 4:13:23, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2114, decode.acc_seg: 72.8849, aux.loss_ce: 0.0997, aux.acc_seg: 71.9446, loss: 0.3111 +2022-06-19 09:15:43,077 - mmseg - INFO - Saving checkpoint at 105000 iterations +2022-06-19 09:15:45,999 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 09:15:45,999 - mmseg - INFO - Iter [105000/160000] lr: 1.059e-05, eta: 4:13:11, time: 0.318, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2250, decode.acc_seg: 73.4185, aux.loss_ce: 0.1065, aux.acc_seg: 72.4593, loss: 0.3314 +2022-06-19 09:15:59,657 - mmseg - INFO - Iter [105050/160000] lr: 1.058e-05, eta: 4:12:57, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2122, decode.acc_seg: 73.5869, aux.loss_ce: 0.1017, aux.acc_seg: 72.4991, loss: 0.3139 +2022-06-19 09:16:12,932 - mmseg - INFO - Iter [105100/160000] lr: 1.057e-05, eta: 4:12:43, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2223, decode.acc_seg: 71.7420, aux.loss_ce: 0.1055, aux.acc_seg: 70.6911, loss: 0.3278 +2022-06-19 09:16:26,465 - mmseg - INFO - Iter [105150/160000] lr: 1.056e-05, eta: 4:12:29, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2214, decode.acc_seg: 73.4327, aux.loss_ce: 0.1054, aux.acc_seg: 72.4239, loss: 0.3267 +2022-06-19 09:16:39,838 - mmseg - INFO - Iter [105200/160000] lr: 1.055e-05, eta: 4:12:15, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2280, decode.acc_seg: 73.9125, aux.loss_ce: 0.1091, aux.acc_seg: 72.6729, loss: 0.3371 +2022-06-19 09:16:53,288 - mmseg - INFO - Iter [105250/160000] lr: 1.054e-05, eta: 4:12:01, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2158, decode.acc_seg: 74.7770, aux.loss_ce: 0.1033, aux.acc_seg: 73.5963, loss: 0.3191 +2022-06-19 09:17:06,703 - mmseg - INFO - Iter [105300/160000] lr: 1.053e-05, eta: 4:11:47, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2255, decode.acc_seg: 74.0341, aux.loss_ce: 0.1076, aux.acc_seg: 72.8584, loss: 0.3331 +2022-06-19 09:17:20,366 - mmseg - INFO - Iter [105350/160000] lr: 1.052e-05, eta: 4:11:33, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2356, decode.acc_seg: 72.5556, aux.loss_ce: 0.1119, aux.acc_seg: 71.3933, loss: 0.3475 +2022-06-19 09:17:34,062 - mmseg - INFO - Iter [105400/160000] lr: 1.051e-05, eta: 4:11:19, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2306, decode.acc_seg: 72.9138, aux.loss_ce: 0.1088, aux.acc_seg: 71.8706, loss: 0.3394 +2022-06-19 09:17:47,553 - mmseg - INFO - Iter [105450/160000] lr: 1.050e-05, eta: 4:11:05, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2189, decode.acc_seg: 74.3720, aux.loss_ce: 0.1035, aux.acc_seg: 73.3049, loss: 0.3224 +2022-06-19 09:18:01,013 - mmseg - INFO - Iter [105500/160000] lr: 1.049e-05, eta: 4:10:51, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2195, decode.acc_seg: 72.9776, aux.loss_ce: 0.1043, aux.acc_seg: 71.9813, loss: 0.3238 +2022-06-19 09:18:14,410 - mmseg - INFO - Iter [105550/160000] lr: 1.048e-05, eta: 4:10:37, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2216, decode.acc_seg: 74.3111, aux.loss_ce: 0.1067, aux.acc_seg: 73.2598, loss: 0.3283 +2022-06-19 09:18:28,000 - mmseg - INFO - Iter [105600/160000] lr: 1.047e-05, eta: 4:10:23, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2395, decode.acc_seg: 72.2014, aux.loss_ce: 0.1138, aux.acc_seg: 71.0303, loss: 0.3532 +2022-06-19 09:18:41,332 - mmseg - INFO - Iter [105650/160000] lr: 1.046e-05, eta: 4:10:09, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2273, decode.acc_seg: 74.2529, aux.loss_ce: 0.1065, aux.acc_seg: 73.1803, loss: 0.3339 +2022-06-19 09:18:54,932 - mmseg - INFO - Iter [105700/160000] lr: 1.045e-05, eta: 4:09:55, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2279, decode.acc_seg: 73.5940, aux.loss_ce: 0.1083, aux.acc_seg: 72.6323, loss: 0.3363 +2022-06-19 09:19:08,458 - mmseg - INFO - Iter [105750/160000] lr: 1.044e-05, eta: 4:09:41, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2177, decode.acc_seg: 71.6493, aux.loss_ce: 0.1034, aux.acc_seg: 70.5291, loss: 0.3211 +2022-06-19 09:19:22,141 - mmseg - INFO - Iter [105800/160000] lr: 1.043e-05, eta: 4:09:27, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2292, decode.acc_seg: 72.6566, aux.loss_ce: 0.1075, aux.acc_seg: 71.5483, loss: 0.3367 +2022-06-19 09:19:35,639 - mmseg - INFO - Iter [105850/160000] lr: 1.042e-05, eta: 4:09:13, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2337, decode.acc_seg: 72.3515, aux.loss_ce: 0.1123, aux.acc_seg: 71.1922, loss: 0.3460 +2022-06-19 09:19:49,084 - mmseg - INFO - Iter [105900/160000] lr: 1.041e-05, eta: 4:08:59, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2247, decode.acc_seg: 73.8649, aux.loss_ce: 0.1063, aux.acc_seg: 72.8499, loss: 0.3311 +2022-06-19 09:20:02,469 - mmseg - INFO - Iter [105950/160000] lr: 1.040e-05, eta: 4:08:45, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2172, decode.acc_seg: 73.3390, aux.loss_ce: 0.1028, aux.acc_seg: 72.2658, loss: 0.3201 +2022-06-19 09:20:16,221 - mmseg - INFO - Saving checkpoint at 106000 iterations +2022-06-19 09:20:19,190 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 09:20:19,191 - mmseg - INFO - Iter [106000/160000] lr: 1.040e-05, eta: 4:08:33, time: 0.335, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2235, decode.acc_seg: 73.1779, aux.loss_ce: 0.1076, aux.acc_seg: 72.0251, loss: 0.3311 +2022-06-19 09:20:32,697 - mmseg - INFO - Iter [106050/160000] lr: 1.039e-05, eta: 4:08:19, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2254, decode.acc_seg: 72.9382, aux.loss_ce: 0.1091, aux.acc_seg: 71.7038, loss: 0.3345 +2022-06-19 09:20:48,553 - mmseg - INFO - Iter [106100/160000] lr: 1.038e-05, eta: 4:08:06, time: 0.317, data_time: 0.051, memory: 56924, decode.loss_ce: 0.2319, decode.acc_seg: 74.1133, aux.loss_ce: 0.1101, aux.acc_seg: 73.0552, loss: 0.3420 +2022-06-19 09:21:02,139 - mmseg - INFO - Iter [106150/160000] lr: 1.037e-05, eta: 4:07:52, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2357, decode.acc_seg: 74.0696, aux.loss_ce: 0.1133, aux.acc_seg: 72.8564, loss: 0.3490 +2022-06-19 09:21:15,727 - mmseg - INFO - Iter [106200/160000] lr: 1.036e-05, eta: 4:07:38, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2144, decode.acc_seg: 74.1526, aux.loss_ce: 0.1011, aux.acc_seg: 73.0846, loss: 0.3154 +2022-06-19 09:21:29,250 - mmseg - INFO - Iter [106250/160000] lr: 1.035e-05, eta: 4:07:24, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2121, decode.acc_seg: 74.0047, aux.loss_ce: 0.1023, aux.acc_seg: 72.7074, loss: 0.3144 +2022-06-19 09:21:42,835 - mmseg - INFO - Iter [106300/160000] lr: 1.034e-05, eta: 4:07:10, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2275, decode.acc_seg: 73.8445, aux.loss_ce: 0.1092, aux.acc_seg: 72.6572, loss: 0.3367 +2022-06-19 09:21:56,338 - mmseg - INFO - Iter [106350/160000] lr: 1.033e-05, eta: 4:06:56, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2260, decode.acc_seg: 73.5347, aux.loss_ce: 0.1091, aux.acc_seg: 72.3075, loss: 0.3350 +2022-06-19 09:22:09,937 - mmseg - INFO - Iter [106400/160000] lr: 1.032e-05, eta: 4:06:43, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2252, decode.acc_seg: 73.9526, aux.loss_ce: 0.1067, aux.acc_seg: 72.8581, loss: 0.3318 +2022-06-19 09:22:23,226 - mmseg - INFO - Iter [106450/160000] lr: 1.031e-05, eta: 4:06:28, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2167, decode.acc_seg: 73.2236, aux.loss_ce: 0.1039, aux.acc_seg: 71.9446, loss: 0.3206 +2022-06-19 09:22:36,411 - mmseg - INFO - Iter [106500/160000] lr: 1.030e-05, eta: 4:06:14, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2247, decode.acc_seg: 73.9164, aux.loss_ce: 0.1055, aux.acc_seg: 72.9854, loss: 0.3302 +2022-06-19 09:22:49,958 - mmseg - INFO - Iter [106550/160000] lr: 1.029e-05, eta: 4:06:00, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2255, decode.acc_seg: 74.2385, aux.loss_ce: 0.1063, aux.acc_seg: 73.2658, loss: 0.3318 +2022-06-19 09:23:03,251 - mmseg - INFO - Iter [106600/160000] lr: 1.028e-05, eta: 4:05:46, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2068, decode.acc_seg: 74.5682, aux.loss_ce: 0.0982, aux.acc_seg: 73.5299, loss: 0.3050 +2022-06-19 09:23:16,878 - mmseg - INFO - Iter [106650/160000] lr: 1.027e-05, eta: 4:05:32, time: 0.272, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2150, decode.acc_seg: 73.8708, aux.loss_ce: 0.1032, aux.acc_seg: 72.7019, loss: 0.3181 +2022-06-19 09:23:30,575 - mmseg - INFO - Iter [106700/160000] lr: 1.026e-05, eta: 4:05:19, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2123, decode.acc_seg: 71.8513, aux.loss_ce: 0.1004, aux.acc_seg: 70.9251, loss: 0.3126 +2022-06-19 09:23:44,102 - mmseg - INFO - Iter [106750/160000] lr: 1.025e-05, eta: 4:05:05, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2138, decode.acc_seg: 74.3110, aux.loss_ce: 0.1006, aux.acc_seg: 73.2147, loss: 0.3144 +2022-06-19 09:23:57,254 - mmseg - INFO - Iter [106800/160000] lr: 1.024e-05, eta: 4:04:51, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2339, decode.acc_seg: 72.9954, aux.loss_ce: 0.1108, aux.acc_seg: 71.8859, loss: 0.3447 +2022-06-19 09:24:10,854 - mmseg - INFO - Iter [106850/160000] lr: 1.023e-05, eta: 4:04:37, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2200, decode.acc_seg: 72.9072, aux.loss_ce: 0.1036, aux.acc_seg: 72.0105, loss: 0.3237 +2022-06-19 09:24:24,441 - mmseg - INFO - Iter [106900/160000] lr: 1.022e-05, eta: 4:04:23, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2203, decode.acc_seg: 73.8946, aux.loss_ce: 0.1039, aux.acc_seg: 72.8598, loss: 0.3242 +2022-06-19 09:24:38,085 - mmseg - INFO - Iter [106950/160000] lr: 1.021e-05, eta: 4:04:09, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2191, decode.acc_seg: 72.3705, aux.loss_ce: 0.1033, aux.acc_seg: 71.4249, loss: 0.3224 +2022-06-19 09:24:51,390 - mmseg - INFO - Saving checkpoint at 107000 iterations +2022-06-19 09:24:54,288 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 09:24:54,288 - mmseg - INFO - Iter [107000/160000] lr: 1.020e-05, eta: 4:03:56, time: 0.325, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2282, decode.acc_seg: 73.7728, aux.loss_ce: 0.1101, aux.acc_seg: 72.5203, loss: 0.3384 +2022-06-19 09:25:07,753 - mmseg - INFO - Iter [107050/160000] lr: 1.019e-05, eta: 4:03:42, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2381, decode.acc_seg: 72.7033, aux.loss_ce: 0.1112, aux.acc_seg: 71.6064, loss: 0.3493 +2022-06-19 09:25:21,134 - mmseg - INFO - Iter [107100/160000] lr: 1.018e-05, eta: 4:03:28, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2316, decode.acc_seg: 72.7373, aux.loss_ce: 0.1115, aux.acc_seg: 71.5288, loss: 0.3431 +2022-06-19 09:25:34,448 - mmseg - INFO - Iter [107150/160000] lr: 1.017e-05, eta: 4:03:14, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2180, decode.acc_seg: 73.5659, aux.loss_ce: 0.1050, aux.acc_seg: 72.4254, loss: 0.3230 +2022-06-19 09:25:47,706 - mmseg - INFO - Iter [107200/160000] lr: 1.016e-05, eta: 4:03:00, time: 0.265, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2166, decode.acc_seg: 74.0321, aux.loss_ce: 0.1024, aux.acc_seg: 73.0248, loss: 0.3189 +2022-06-19 09:26:01,053 - mmseg - INFO - Iter [107250/160000] lr: 1.015e-05, eta: 4:02:46, time: 0.267, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2068, decode.acc_seg: 72.8493, aux.loss_ce: 0.0982, aux.acc_seg: 71.8521, loss: 0.3051 +2022-06-19 09:26:14,570 - mmseg - INFO - Iter [107300/160000] lr: 1.015e-05, eta: 4:02:32, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2095, decode.acc_seg: 74.8676, aux.loss_ce: 0.0992, aux.acc_seg: 73.7461, loss: 0.3087 +2022-06-19 09:26:27,626 - mmseg - INFO - Iter [107350/160000] lr: 1.014e-05, eta: 4:02:18, time: 0.261, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2190, decode.acc_seg: 73.4235, aux.loss_ce: 0.1036, aux.acc_seg: 72.4282, loss: 0.3226 +2022-06-19 09:26:43,676 - mmseg - INFO - Iter [107400/160000] lr: 1.013e-05, eta: 4:02:05, time: 0.321, data_time: 0.052, memory: 56924, decode.loss_ce: 0.1956, decode.acc_seg: 71.9956, aux.loss_ce: 0.0946, aux.acc_seg: 70.8765, loss: 0.2901 +2022-06-19 09:26:57,126 - mmseg - INFO - Iter [107450/160000] lr: 1.012e-05, eta: 4:01:51, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2221, decode.acc_seg: 73.6751, aux.loss_ce: 0.1064, aux.acc_seg: 72.4972, loss: 0.3284 +2022-06-19 09:27:10,651 - mmseg - INFO - Iter [107500/160000] lr: 1.011e-05, eta: 4:01:37, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2263, decode.acc_seg: 74.0492, aux.loss_ce: 0.1068, aux.acc_seg: 72.9764, loss: 0.3331 +2022-06-19 09:27:24,163 - mmseg - INFO - Iter [107550/160000] lr: 1.010e-05, eta: 4:01:23, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2177, decode.acc_seg: 74.2530, aux.loss_ce: 0.1037, aux.acc_seg: 73.2780, loss: 0.3213 +2022-06-19 09:27:37,557 - mmseg - INFO - Iter [107600/160000] lr: 1.009e-05, eta: 4:01:09, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2139, decode.acc_seg: 73.5100, aux.loss_ce: 0.1024, aux.acc_seg: 72.3330, loss: 0.3162 +2022-06-19 09:27:51,093 - mmseg - INFO - Iter [107650/160000] lr: 1.008e-05, eta: 4:00:55, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2267, decode.acc_seg: 73.0232, aux.loss_ce: 0.1090, aux.acc_seg: 71.8744, loss: 0.3357 +2022-06-19 09:28:04,443 - mmseg - INFO - Iter [107700/160000] lr: 1.007e-05, eta: 4:00:41, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2178, decode.acc_seg: 73.6382, aux.loss_ce: 0.1032, aux.acc_seg: 72.5879, loss: 0.3210 +2022-06-19 09:28:18,061 - mmseg - INFO - Iter [107750/160000] lr: 1.006e-05, eta: 4:00:27, time: 0.272, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2140, decode.acc_seg: 74.4167, aux.loss_ce: 0.1034, aux.acc_seg: 73.1837, loss: 0.3174 +2022-06-19 09:28:31,449 - mmseg - INFO - Iter [107800/160000] lr: 1.005e-05, eta: 4:00:13, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2273, decode.acc_seg: 71.7481, aux.loss_ce: 0.1089, aux.acc_seg: 70.6262, loss: 0.3362 +2022-06-19 09:28:44,962 - mmseg - INFO - Iter [107850/160000] lr: 1.004e-05, eta: 3:59:59, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2295, decode.acc_seg: 72.4949, aux.loss_ce: 0.1082, aux.acc_seg: 71.5167, loss: 0.3376 +2022-06-19 09:28:58,338 - mmseg - INFO - Iter [107900/160000] lr: 1.003e-05, eta: 3:59:45, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2092, decode.acc_seg: 73.9120, aux.loss_ce: 0.0990, aux.acc_seg: 72.9393, loss: 0.3082 +2022-06-19 09:29:11,804 - mmseg - INFO - Iter [107950/160000] lr: 1.002e-05, eta: 3:59:31, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2155, decode.acc_seg: 73.5878, aux.loss_ce: 0.1034, aux.acc_seg: 72.4000, loss: 0.3190 +2022-06-19 09:29:25,288 - mmseg - INFO - Saving checkpoint at 108000 iterations +2022-06-19 09:29:28,186 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 09:29:28,188 - mmseg - INFO - Iter [108000/160000] lr: 1.001e-05, eta: 3:59:19, time: 0.328, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2147, decode.acc_seg: 73.9182, aux.loss_ce: 0.1020, aux.acc_seg: 72.9103, loss: 0.3167 +2022-06-19 09:29:41,639 - mmseg - INFO - Iter [108050/160000] lr: 1.000e-05, eta: 3:59:05, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2219, decode.acc_seg: 72.5925, aux.loss_ce: 0.1046, aux.acc_seg: 71.5094, loss: 0.3265 +2022-06-19 09:29:55,275 - mmseg - INFO - Iter [108100/160000] lr: 9.991e-06, eta: 3:58:51, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2172, decode.acc_seg: 73.7013, aux.loss_ce: 0.1023, aux.acc_seg: 72.6788, loss: 0.3195 +2022-06-19 09:30:08,711 - mmseg - INFO - Iter [108150/160000] lr: 9.981e-06, eta: 3:58:37, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2183, decode.acc_seg: 73.9675, aux.loss_ce: 0.1032, aux.acc_seg: 72.9669, loss: 0.3215 +2022-06-19 09:30:22,410 - mmseg - INFO - Iter [108200/160000] lr: 9.972e-06, eta: 3:58:23, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2237, decode.acc_seg: 72.7890, aux.loss_ce: 0.1069, aux.acc_seg: 71.5825, loss: 0.3306 +2022-06-19 09:30:35,990 - mmseg - INFO - Iter [108250/160000] lr: 9.962e-06, eta: 3:58:09, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2120, decode.acc_seg: 73.4266, aux.loss_ce: 0.1003, aux.acc_seg: 72.3632, loss: 0.3123 +2022-06-19 09:30:49,717 - mmseg - INFO - Iter [108300/160000] lr: 9.953e-06, eta: 3:57:55, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2168, decode.acc_seg: 73.5520, aux.loss_ce: 0.1040, aux.acc_seg: 72.4103, loss: 0.3208 +2022-06-19 09:31:03,094 - mmseg - INFO - Iter [108350/160000] lr: 9.943e-06, eta: 3:57:41, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2092, decode.acc_seg: 73.3496, aux.loss_ce: 0.1007, aux.acc_seg: 72.2013, loss: 0.3099 +2022-06-19 09:31:16,717 - mmseg - INFO - Iter [108400/160000] lr: 9.933e-06, eta: 3:57:28, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2232, decode.acc_seg: 71.8045, aux.loss_ce: 0.1062, aux.acc_seg: 70.7182, loss: 0.3295 +2022-06-19 09:31:30,324 - mmseg - INFO - Iter [108450/160000] lr: 9.924e-06, eta: 3:57:14, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2219, decode.acc_seg: 75.4803, aux.loss_ce: 0.1055, aux.acc_seg: 74.4111, loss: 0.3274 +2022-06-19 09:31:43,832 - mmseg - INFO - Iter [108500/160000] lr: 9.914e-06, eta: 3:57:00, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2321, decode.acc_seg: 74.0858, aux.loss_ce: 0.1093, aux.acc_seg: 72.9099, loss: 0.3414 +2022-06-19 09:31:57,472 - mmseg - INFO - Iter [108550/160000] lr: 9.904e-06, eta: 3:56:46, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2237, decode.acc_seg: 72.6510, aux.loss_ce: 0.1069, aux.acc_seg: 71.4947, loss: 0.3306 +2022-06-19 09:32:10,594 - mmseg - INFO - Iter [108600/160000] lr: 9.895e-06, eta: 3:56:32, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2247, decode.acc_seg: 73.8284, aux.loss_ce: 0.1060, aux.acc_seg: 72.7305, loss: 0.3307 +2022-06-19 09:32:26,511 - mmseg - INFO - Iter [108650/160000] lr: 9.885e-06, eta: 3:56:19, time: 0.318, data_time: 0.051, memory: 56924, decode.loss_ce: 0.2165, decode.acc_seg: 74.2221, aux.loss_ce: 0.1043, aux.acc_seg: 73.0833, loss: 0.3208 +2022-06-19 09:32:40,139 - mmseg - INFO - Iter [108700/160000] lr: 9.876e-06, eta: 3:56:05, time: 0.273, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2407, decode.acc_seg: 74.1679, aux.loss_ce: 0.1160, aux.acc_seg: 72.9403, loss: 0.3568 +2022-06-19 09:32:53,785 - mmseg - INFO - Iter [108750/160000] lr: 9.866e-06, eta: 3:55:51, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2299, decode.acc_seg: 72.7671, aux.loss_ce: 0.1082, aux.acc_seg: 71.7100, loss: 0.3380 +2022-06-19 09:33:07,195 - mmseg - INFO - Iter [108800/160000] lr: 9.856e-06, eta: 3:55:37, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2226, decode.acc_seg: 74.4980, aux.loss_ce: 0.1039, aux.acc_seg: 73.5184, loss: 0.3265 +2022-06-19 09:33:20,523 - mmseg - INFO - Iter [108850/160000] lr: 9.847e-06, eta: 3:55:23, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2296, decode.acc_seg: 74.2145, aux.loss_ce: 0.1087, aux.acc_seg: 73.1722, loss: 0.3383 +2022-06-19 09:33:33,926 - mmseg - INFO - Iter [108900/160000] lr: 9.837e-06, eta: 3:55:09, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2264, decode.acc_seg: 74.2654, aux.loss_ce: 0.1073, aux.acc_seg: 73.2424, loss: 0.3337 +2022-06-19 09:33:47,165 - mmseg - INFO - Iter [108950/160000] lr: 9.827e-06, eta: 3:54:55, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2153, decode.acc_seg: 72.2366, aux.loss_ce: 0.1032, aux.acc_seg: 70.9609, loss: 0.3185 +2022-06-19 09:34:00,602 - mmseg - INFO - Saving checkpoint at 109000 iterations +2022-06-19 09:34:03,539 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 09:34:03,540 - mmseg - INFO - Iter [109000/160000] lr: 9.818e-06, eta: 3:54:42, time: 0.328, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2323, decode.acc_seg: 74.3629, aux.loss_ce: 0.1086, aux.acc_seg: 73.3554, loss: 0.3409 +2022-06-19 09:34:16,800 - mmseg - INFO - Iter [109050/160000] lr: 9.808e-06, eta: 3:54:28, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2097, decode.acc_seg: 73.1963, aux.loss_ce: 0.1008, aux.acc_seg: 72.1106, loss: 0.3105 +2022-06-19 09:34:30,275 - mmseg - INFO - Iter [109100/160000] lr: 9.799e-06, eta: 3:54:14, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2204, decode.acc_seg: 73.4097, aux.loss_ce: 0.1054, aux.acc_seg: 72.2617, loss: 0.3258 +2022-06-19 09:34:43,735 - mmseg - INFO - Iter [109150/160000] lr: 9.789e-06, eta: 3:54:00, time: 0.271, data_time: 0.006, memory: 56924, decode.loss_ce: 0.2026, decode.acc_seg: 73.1791, aux.loss_ce: 0.0974, aux.acc_seg: 72.2477, loss: 0.3000 +2022-06-19 09:34:57,164 - mmseg - INFO - Iter [109200/160000] lr: 9.779e-06, eta: 3:53:46, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2099, decode.acc_seg: 74.9397, aux.loss_ce: 0.1006, aux.acc_seg: 73.8877, loss: 0.3105 +2022-06-19 09:35:10,574 - mmseg - INFO - Iter [109250/160000] lr: 9.770e-06, eta: 3:53:32, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2234, decode.acc_seg: 72.9078, aux.loss_ce: 0.1057, aux.acc_seg: 71.9559, loss: 0.3291 +2022-06-19 09:35:24,028 - mmseg - INFO - Iter [109300/160000] lr: 9.760e-06, eta: 3:53:18, time: 0.269, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2025, decode.acc_seg: 73.9806, aux.loss_ce: 0.0957, aux.acc_seg: 72.9588, loss: 0.2981 +2022-06-19 09:35:37,387 - mmseg - INFO - Iter [109350/160000] lr: 9.750e-06, eta: 3:53:04, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2239, decode.acc_seg: 73.7186, aux.loss_ce: 0.1060, aux.acc_seg: 72.6195, loss: 0.3299 +2022-06-19 09:35:50,852 - mmseg - INFO - Iter [109400/160000] lr: 9.741e-06, eta: 3:52:51, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2249, decode.acc_seg: 73.3588, aux.loss_ce: 0.1068, aux.acc_seg: 72.1544, loss: 0.3317 +2022-06-19 09:36:04,486 - mmseg - INFO - Iter [109450/160000] lr: 9.731e-06, eta: 3:52:37, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2063, decode.acc_seg: 73.9578, aux.loss_ce: 0.0981, aux.acc_seg: 72.9092, loss: 0.3044 +2022-06-19 09:36:18,129 - mmseg - INFO - Iter [109500/160000] lr: 9.722e-06, eta: 3:52:23, time: 0.273, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2175, decode.acc_seg: 72.7411, aux.loss_ce: 0.1043, aux.acc_seg: 71.6337, loss: 0.3218 +2022-06-19 09:36:31,718 - mmseg - INFO - Iter [109550/160000] lr: 9.712e-06, eta: 3:52:09, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2197, decode.acc_seg: 73.4032, aux.loss_ce: 0.1059, aux.acc_seg: 72.1710, loss: 0.3256 +2022-06-19 09:36:45,309 - mmseg - INFO - Iter [109600/160000] lr: 9.702e-06, eta: 3:51:55, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2105, decode.acc_seg: 72.4766, aux.loss_ce: 0.0993, aux.acc_seg: 71.3329, loss: 0.3098 +2022-06-19 09:36:58,689 - mmseg - INFO - Iter [109650/160000] lr: 9.693e-06, eta: 3:51:41, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2180, decode.acc_seg: 74.3002, aux.loss_ce: 0.1061, aux.acc_seg: 73.0386, loss: 0.3241 +2022-06-19 09:37:11,996 - mmseg - INFO - Iter [109700/160000] lr: 9.683e-06, eta: 3:51:27, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2151, decode.acc_seg: 73.2011, aux.loss_ce: 0.1010, aux.acc_seg: 72.2587, loss: 0.3162 +2022-06-19 09:37:25,282 - mmseg - INFO - Iter [109750/160000] lr: 9.673e-06, eta: 3:51:13, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2249, decode.acc_seg: 72.1381, aux.loss_ce: 0.1072, aux.acc_seg: 71.0684, loss: 0.3321 +2022-06-19 09:37:38,725 - mmseg - INFO - Iter [109800/160000] lr: 9.664e-06, eta: 3:50:59, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2180, decode.acc_seg: 73.8560, aux.loss_ce: 0.1053, aux.acc_seg: 72.7231, loss: 0.3233 +2022-06-19 09:37:52,294 - mmseg - INFO - Iter [109850/160000] lr: 9.654e-06, eta: 3:50:45, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2188, decode.acc_seg: 74.3896, aux.loss_ce: 0.1035, aux.acc_seg: 73.3496, loss: 0.3224 +2022-06-19 09:38:08,082 - mmseg - INFO - Iter [109900/160000] lr: 9.645e-06, eta: 3:50:32, time: 0.316, data_time: 0.053, memory: 56924, decode.loss_ce: 0.2191, decode.acc_seg: 72.7416, aux.loss_ce: 0.1052, aux.acc_seg: 71.6174, loss: 0.3243 +2022-06-19 09:38:21,695 - mmseg - INFO - Iter [109950/160000] lr: 9.635e-06, eta: 3:50:18, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2179, decode.acc_seg: 74.2936, aux.loss_ce: 0.1052, aux.acc_seg: 73.0257, loss: 0.3231 +2022-06-19 09:38:34,979 - mmseg - INFO - Saving checkpoint at 110000 iterations +2022-06-19 09:38:37,923 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 09:38:37,923 - mmseg - INFO - Iter [110000/160000] lr: 9.625e-06, eta: 3:50:05, time: 0.325, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2262, decode.acc_seg: 74.2250, aux.loss_ce: 0.1067, aux.acc_seg: 73.2458, loss: 0.3328 +2022-06-19 09:38:51,378 - mmseg - INFO - Iter [110050/160000] lr: 9.616e-06, eta: 3:49:52, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2118, decode.acc_seg: 73.3321, aux.loss_ce: 0.1013, aux.acc_seg: 72.2397, loss: 0.3132 +2022-06-19 09:39:04,662 - mmseg - INFO - Iter [110100/160000] lr: 9.606e-06, eta: 3:49:37, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2210, decode.acc_seg: 72.7497, aux.loss_ce: 0.1071, aux.acc_seg: 71.5376, loss: 0.3281 +2022-06-19 09:39:18,154 - mmseg - INFO - Iter [110150/160000] lr: 9.596e-06, eta: 3:49:24, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2076, decode.acc_seg: 73.6956, aux.loss_ce: 0.0999, aux.acc_seg: 72.5627, loss: 0.3075 +2022-06-19 09:39:31,616 - mmseg - INFO - Iter [110200/160000] lr: 9.587e-06, eta: 3:49:10, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2099, decode.acc_seg: 71.9254, aux.loss_ce: 0.0993, aux.acc_seg: 70.8497, loss: 0.3093 +2022-06-19 09:39:45,003 - mmseg - INFO - Iter [110250/160000] lr: 9.577e-06, eta: 3:48:56, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2220, decode.acc_seg: 74.3260, aux.loss_ce: 0.1062, aux.acc_seg: 73.2994, loss: 0.3282 +2022-06-19 09:39:58,470 - mmseg - INFO - Iter [110300/160000] lr: 9.568e-06, eta: 3:48:42, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2217, decode.acc_seg: 74.0069, aux.loss_ce: 0.1064, aux.acc_seg: 72.8573, loss: 0.3281 +2022-06-19 09:40:11,983 - mmseg - INFO - Iter [110350/160000] lr: 9.558e-06, eta: 3:48:28, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2093, decode.acc_seg: 74.1717, aux.loss_ce: 0.1001, aux.acc_seg: 73.1696, loss: 0.3094 +2022-06-19 09:40:25,404 - mmseg - INFO - Iter [110400/160000] lr: 9.548e-06, eta: 3:48:14, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2221, decode.acc_seg: 74.6841, aux.loss_ce: 0.1056, aux.acc_seg: 73.6489, loss: 0.3277 +2022-06-19 09:40:38,672 - mmseg - INFO - Iter [110450/160000] lr: 9.539e-06, eta: 3:48:00, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2171, decode.acc_seg: 73.2760, aux.loss_ce: 0.1035, aux.acc_seg: 72.2204, loss: 0.3206 +2022-06-19 09:40:52,300 - mmseg - INFO - Iter [110500/160000] lr: 9.529e-06, eta: 3:47:46, time: 0.273, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2115, decode.acc_seg: 73.6859, aux.loss_ce: 0.1007, aux.acc_seg: 72.5804, loss: 0.3122 +2022-06-19 09:41:05,442 - mmseg - INFO - Iter [110550/160000] lr: 9.519e-06, eta: 3:47:32, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2080, decode.acc_seg: 75.2786, aux.loss_ce: 0.0994, aux.acc_seg: 74.1398, loss: 0.3074 +2022-06-19 09:41:18,754 - mmseg - INFO - Iter [110600/160000] lr: 9.510e-06, eta: 3:47:18, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2094, decode.acc_seg: 74.4233, aux.loss_ce: 0.1000, aux.acc_seg: 73.3240, loss: 0.3094 +2022-06-19 09:41:31,960 - mmseg - INFO - Iter [110650/160000] lr: 9.500e-06, eta: 3:47:04, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2185, decode.acc_seg: 74.8214, aux.loss_ce: 0.1044, aux.acc_seg: 73.6660, loss: 0.3229 +2022-06-19 09:41:45,541 - mmseg - INFO - Iter [110700/160000] lr: 9.491e-06, eta: 3:46:50, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2147, decode.acc_seg: 73.9399, aux.loss_ce: 0.1033, aux.acc_seg: 72.8092, loss: 0.3180 +2022-06-19 09:41:59,181 - mmseg - INFO - Iter [110750/160000] lr: 9.481e-06, eta: 3:46:36, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2129, decode.acc_seg: 73.4152, aux.loss_ce: 0.1020, aux.acc_seg: 72.3523, loss: 0.3149 +2022-06-19 09:42:12,520 - mmseg - INFO - Iter [110800/160000] lr: 9.471e-06, eta: 3:46:22, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2234, decode.acc_seg: 74.0803, aux.loss_ce: 0.1056, aux.acc_seg: 73.0291, loss: 0.3290 +2022-06-19 09:42:25,883 - mmseg - INFO - Iter [110850/160000] lr: 9.462e-06, eta: 3:46:08, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2130, decode.acc_seg: 74.1089, aux.loss_ce: 0.1000, aux.acc_seg: 73.1416, loss: 0.3130 +2022-06-19 09:42:39,421 - mmseg - INFO - Iter [110900/160000] lr: 9.452e-06, eta: 3:45:54, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2228, decode.acc_seg: 74.1621, aux.loss_ce: 0.1062, aux.acc_seg: 73.0193, loss: 0.3290 +2022-06-19 09:42:52,935 - mmseg - INFO - Iter [110950/160000] lr: 9.442e-06, eta: 3:45:40, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2122, decode.acc_seg: 73.4618, aux.loss_ce: 0.1014, aux.acc_seg: 72.4227, loss: 0.3137 +2022-06-19 09:43:06,406 - mmseg - INFO - Saving checkpoint at 111000 iterations +2022-06-19 09:43:09,340 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 09:43:09,341 - mmseg - INFO - Iter [111000/160000] lr: 9.433e-06, eta: 3:45:27, time: 0.329, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2249, decode.acc_seg: 72.8108, aux.loss_ce: 0.1077, aux.acc_seg: 71.7083, loss: 0.3327 +2022-06-19 09:43:22,820 - mmseg - INFO - Iter [111050/160000] lr: 9.423e-06, eta: 3:45:13, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2226, decode.acc_seg: 74.2489, aux.loss_ce: 0.1061, aux.acc_seg: 73.1079, loss: 0.3287 +2022-06-19 09:43:36,119 - mmseg - INFO - Iter [111100/160000] lr: 9.414e-06, eta: 3:44:59, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2058, decode.acc_seg: 73.9628, aux.loss_ce: 0.0987, aux.acc_seg: 72.8651, loss: 0.3045 +2022-06-19 09:43:51,494 - mmseg - INFO - Iter [111150/160000] lr: 9.404e-06, eta: 3:44:46, time: 0.307, data_time: 0.050, memory: 56924, decode.loss_ce: 0.2066, decode.acc_seg: 73.4546, aux.loss_ce: 0.1000, aux.acc_seg: 72.2558, loss: 0.3066 +2022-06-19 09:44:04,912 - mmseg - INFO - Iter [111200/160000] lr: 9.394e-06, eta: 3:44:32, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2219, decode.acc_seg: 73.7024, aux.loss_ce: 0.1079, aux.acc_seg: 72.4444, loss: 0.3298 +2022-06-19 09:44:18,495 - mmseg - INFO - Iter [111250/160000] lr: 9.385e-06, eta: 3:44:18, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2176, decode.acc_seg: 75.1972, aux.loss_ce: 0.1044, aux.acc_seg: 74.0834, loss: 0.3220 +2022-06-19 09:44:31,967 - mmseg - INFO - Iter [111300/160000] lr: 9.375e-06, eta: 3:44:04, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2114, decode.acc_seg: 73.4459, aux.loss_ce: 0.1020, aux.acc_seg: 72.3123, loss: 0.3134 +2022-06-19 09:44:45,555 - mmseg - INFO - Iter [111350/160000] lr: 9.365e-06, eta: 3:43:50, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2140, decode.acc_seg: 74.1524, aux.loss_ce: 0.1015, aux.acc_seg: 73.1227, loss: 0.3154 +2022-06-19 09:44:58,955 - mmseg - INFO - Iter [111400/160000] lr: 9.356e-06, eta: 3:43:36, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2177, decode.acc_seg: 73.8531, aux.loss_ce: 0.1035, aux.acc_seg: 72.7181, loss: 0.3212 +2022-06-19 09:45:12,587 - mmseg - INFO - Iter [111450/160000] lr: 9.346e-06, eta: 3:43:23, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2081, decode.acc_seg: 72.9971, aux.loss_ce: 0.0997, aux.acc_seg: 71.9035, loss: 0.3077 +2022-06-19 09:45:26,025 - mmseg - INFO - Iter [111500/160000] lr: 9.337e-06, eta: 3:43:09, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2182, decode.acc_seg: 75.6707, aux.loss_ce: 0.1031, aux.acc_seg: 74.6793, loss: 0.3213 +2022-06-19 09:45:39,571 - mmseg - INFO - Iter [111550/160000] lr: 9.327e-06, eta: 3:42:55, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2147, decode.acc_seg: 74.3471, aux.loss_ce: 0.1024, aux.acc_seg: 73.2180, loss: 0.3171 +2022-06-19 09:45:53,310 - mmseg - INFO - Iter [111600/160000] lr: 9.317e-06, eta: 3:42:41, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2208, decode.acc_seg: 74.7189, aux.loss_ce: 0.1025, aux.acc_seg: 73.8011, loss: 0.3233 +2022-06-19 09:46:06,950 - mmseg - INFO - Iter [111650/160000] lr: 9.308e-06, eta: 3:42:27, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2325, decode.acc_seg: 73.1074, aux.loss_ce: 0.1122, aux.acc_seg: 71.6513, loss: 0.3447 +2022-06-19 09:46:20,226 - mmseg - INFO - Iter [111700/160000] lr: 9.298e-06, eta: 3:42:13, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2061, decode.acc_seg: 73.3787, aux.loss_ce: 0.0979, aux.acc_seg: 72.4718, loss: 0.3040 +2022-06-19 09:46:33,552 - mmseg - INFO - Iter [111750/160000] lr: 9.288e-06, eta: 3:41:59, time: 0.267, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2271, decode.acc_seg: 74.0593, aux.loss_ce: 0.1072, aux.acc_seg: 72.9563, loss: 0.3343 +2022-06-19 09:46:46,969 - mmseg - INFO - Iter [111800/160000] lr: 9.279e-06, eta: 3:41:45, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2293, decode.acc_seg: 73.1035, aux.loss_ce: 0.1093, aux.acc_seg: 71.9822, loss: 0.3386 +2022-06-19 09:47:00,386 - mmseg - INFO - Iter [111850/160000] lr: 9.269e-06, eta: 3:41:31, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2183, decode.acc_seg: 72.8943, aux.loss_ce: 0.1057, aux.acc_seg: 71.6742, loss: 0.3240 +2022-06-19 09:47:13,826 - mmseg - INFO - Iter [111900/160000] lr: 9.260e-06, eta: 3:41:17, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2199, decode.acc_seg: 72.5978, aux.loss_ce: 0.1067, aux.acc_seg: 71.3626, loss: 0.3266 +2022-06-19 09:47:27,220 - mmseg - INFO - Iter [111950/160000] lr: 9.250e-06, eta: 3:41:03, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2352, decode.acc_seg: 74.3806, aux.loss_ce: 0.1121, aux.acc_seg: 73.2248, loss: 0.3473 +2022-06-19 09:47:40,552 - mmseg - INFO - Saving checkpoint at 112000 iterations +2022-06-19 09:47:43,492 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 09:47:43,492 - mmseg - INFO - Iter [112000/160000] lr: 9.240e-06, eta: 3:40:50, time: 0.326, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2161, decode.acc_seg: 74.6399, aux.loss_ce: 0.1023, aux.acc_seg: 73.6746, loss: 0.3184 +2022-06-19 09:48:04,913 - mmseg - INFO - per class results: +2022-06-19 09:48:04,919 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 77.36 | 88.2 | +| building | 82.08 | 92.91 | +| sky | 94.23 | 97.59 | +| floor | 81.9 | 90.4 | +| tree | 74.28 | 87.5 | +| ceiling | 84.5 | 92.47 | +| road | 83.25 | 90.67 | +| bed | 87.04 | 95.31 | +| windowpane | 62.7 | 78.1 | +| grass | 66.21 | 83.02 | +| cabinet | 60.59 | 69.55 | +| sidewalk | 63.62 | 80.45 | +| person | 79.96 | 93.05 | +| earth | 33.57 | 46.19 | +| door | 49.78 | 66.15 | +| table | 58.18 | 74.21 | +| mountain | 56.95 | 68.46 | +| plant | 54.39 | 67.36 | +| curtain | 72.9 | 84.81 | +| chair | 55.37 | 70.25 | +| car | 83.63 | 92.08 | +| water | 61.09 | 78.68 | +| painting | 70.97 | 89.1 | +| sofa | 65.27 | 81.41 | +| shelf | 43.15 | 61.87 | +| house | 43.79 | 60.75 | +| sea | 63.59 | 84.65 | +| mirror | 68.14 | 73.96 | +| rug | 65.79 | 73.83 | +| field | 30.64 | 46.82 | +| armchair | 39.02 | 56.45 | +| seat | 62.16 | 81.11 | +| fence | 46.1 | 58.64 | +| desk | 48.57 | 70.05 | +| rock | 47.29 | 71.71 | +| wardrobe | 52.0 | 62.07 | +| lamp | 59.67 | 78.4 | +| bathtub | 77.17 | 84.82 | +| railing | 32.64 | 45.26 | +| cushion | 59.14 | 71.19 | +| base | 32.05 | 46.81 | +| box | 24.3 | 32.49 | +| column | 43.69 | 51.33 | +| signboard | 35.51 | 51.25 | +| chest of drawers | 39.09 | 64.43 | +| counter | 23.18 | 30.93 | +| sand | 51.44 | 74.7 | +| sink | 67.71 | 76.66 | +| skyscraper | 58.02 | 66.55 | +| fireplace | 76.09 | 85.62 | +| refrigerator | 74.74 | 81.89 | +| grandstand | 42.26 | 65.5 | +| path | 17.27 | 24.84 | +| stairs | 22.54 | 29.12 | +| runway | 64.96 | 85.02 | +| case | 46.7 | 63.05 | +| pool table | 92.02 | 95.98 | +| pillow | 56.91 | 69.2 | +| screen door | 63.62 | 71.93 | +| stairway | 26.06 | 38.26 | +| river | 13.35 | 20.96 | +| bridge | 56.9 | 61.23 | +| bookcase | 41.13 | 65.91 | +| blind | 34.3 | 39.48 | +| coffee table | 57.78 | 78.36 | +| toilet | 85.56 | 90.71 | +| flower | 40.99 | 50.03 | +| book | 46.17 | 68.92 | +| hill | 8.02 | 16.64 | +| bench | 42.6 | 50.82 | +| countertop | 55.97 | 75.82 | +| stove | 65.59 | 79.08 | +| palm | 49.8 | 66.12 | +| kitchen island | 33.78 | 61.29 | +| computer | 62.53 | 77.48 | +| swivel chair | 40.84 | 55.27 | +| boat | 55.44 | 63.46 | +| bar | 20.25 | 27.43 | +| arcade machine | 65.77 | 71.33 | +| hovel | 37.09 | 44.19 | +| bus | 85.54 | 94.8 | +| towel | 60.18 | 75.41 | +| light | 54.12 | 64.08 | +| truck | 28.31 | 36.74 | +| tower | 29.1 | 37.08 | +| chandelier | 61.1 | 71.14 | +| awning | 23.43 | 29.31 | +| streetlight | 23.83 | 31.1 | +| booth | 38.09 | 39.85 | +| television receiver | 70.45 | 80.29 | +| airplane | 53.22 | 65.43 | +| dirt track | 7.39 | 12.6 | +| apparel | 30.5 | 41.96 | +| pole | 19.59 | 25.21 | +| land | 2.09 | 3.28 | +| bannister | 12.03 | 17.3 | +| escalator | 48.51 | 72.41 | +| ottoman | 42.19 | 62.13 | +| bottle | 37.27 | 61.44 | +| buffet | 47.91 | 59.05 | +| poster | 22.36 | 30.81 | +| stage | 13.76 | 21.0 | +| van | 38.97 | 50.22 | +| ship | 63.0 | 81.97 | +| fountain | 25.22 | 27.55 | +| conveyer belt | 69.9 | 91.62 | +| canopy | 19.96 | 21.47 | +| washer | 73.87 | 75.08 | +| plaything | 24.17 | 40.8 | +| swimming pool | 77.71 | 87.44 | +| stool | 37.17 | 49.92 | +| barrel | 52.4 | 60.95 | +| basket | 31.35 | 45.94 | +| waterfall | 46.85 | 61.35 | +| tent | 92.56 | 98.01 | +| bag | 10.2 | 12.94 | +| minibike | 61.89 | 68.75 | +| cradle | 68.15 | 83.37 | +| oven | 37.09 | 46.07 | +| ball | 38.69 | 51.18 | +| food | 40.34 | 45.83 | +| step | 16.32 | 20.12 | +| tank | 41.89 | 43.45 | +| trade name | 19.12 | 20.17 | +| microwave | 83.19 | 92.19 | +| pot | 45.53 | 53.07 | +| animal | 56.93 | 59.21 | +| bicycle | 50.6 | 79.2 | +| lake | 59.08 | 63.24 | +| dishwasher | 65.21 | 75.53 | +| screen | 63.21 | 90.14 | +| blanket | 14.77 | 16.93 | +| sculpture | 53.23 | 71.13 | +| hood | 64.92 | 73.33 | +| sconce | 42.42 | 49.66 | +| vase | 37.38 | 57.33 | +| traffic light | 34.92 | 54.28 | +| tray | 6.56 | 10.48 | +| ashcan | 39.37 | 54.74 | +| fan | 58.61 | 71.31 | +| pier | 48.46 | 83.12 | +| crt screen | 0.52 | 1.82 | +| plate | 49.63 | 73.23 | +| monitor | 4.65 | 5.29 | +| bulletin board | 25.59 | 33.27 | +| shower | 0.24 | 0.73 | +| radiator | 59.21 | 67.82 | +| glass | 11.29 | 12.4 | +| clock | 30.29 | 37.83 | +| flag | 39.39 | 44.03 | ++---------------------+-------+-------+ +2022-06-19 09:48:04,920 - mmseg - INFO - Summary: +2022-06-19 09:48:04,920 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.85 | 48.09 | 59.72 | ++-------+-------+-------+ +2022-06-19 09:48:04,921 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_deit_adapter_base_512_160k_ade20k/best_mIoU_iter_80000.pth was removed +2022-06-19 09:48:07,721 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_112000.pth. +2022-06-19 09:48:07,721 - mmseg - INFO - Best mIoU is 0.4809 at 112000 iter. +2022-06-19 09:48:07,729 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 09:48:07,730 - mmseg - INFO - Iter(val) [250] aAcc: 0.8285, mIoU: 0.4809, mAcc: 0.5972, IoU.wall: 0.7736, IoU.building: 0.8208, IoU.sky: 0.9423, IoU.floor: 0.8190, IoU.tree: 0.7428, IoU.ceiling: 0.8450, IoU.road: 0.8325, IoU.bed : 0.8704, IoU.windowpane: 0.6270, IoU.grass: 0.6621, IoU.cabinet: 0.6059, IoU.sidewalk: 0.6362, IoU.person: 0.7996, IoU.earth: 0.3357, IoU.door: 0.4978, IoU.table: 0.5818, IoU.mountain: 0.5695, IoU.plant: 0.5439, IoU.curtain: 0.7290, IoU.chair: 0.5537, IoU.car: 0.8363, IoU.water: 0.6109, IoU.painting: 0.7097, IoU.sofa: 0.6527, IoU.shelf: 0.4315, IoU.house: 0.4379, IoU.sea: 0.6359, IoU.mirror: 0.6814, IoU.rug: 0.6579, IoU.field: 0.3064, IoU.armchair: 0.3902, IoU.seat: 0.6216, IoU.fence: 0.4610, IoU.desk: 0.4857, IoU.rock: 0.4729, IoU.wardrobe: 0.5200, IoU.lamp: 0.5967, IoU.bathtub: 0.7717, IoU.railing: 0.3264, IoU.cushion: 0.5914, IoU.base: 0.3205, IoU.box: 0.2430, IoU.column: 0.4369, IoU.signboard: 0.3551, IoU.chest of drawers: 0.3909, IoU.counter: 0.2318, IoU.sand: 0.5144, IoU.sink: 0.6771, IoU.skyscraper: 0.5802, IoU.fireplace: 0.7609, IoU.refrigerator: 0.7474, IoU.grandstand: 0.4226, IoU.path: 0.1727, IoU.stairs: 0.2254, IoU.runway: 0.6496, IoU.case: 0.4670, IoU.pool table: 0.9202, IoU.pillow: 0.5691, IoU.screen door: 0.6362, IoU.stairway: 0.2606, IoU.river: 0.1335, IoU.bridge: 0.5690, IoU.bookcase: 0.4113, IoU.blind: 0.3430, IoU.coffee table: 0.5778, IoU.toilet: 0.8556, IoU.flower: 0.4099, IoU.book: 0.4617, IoU.hill: 0.0802, IoU.bench: 0.4260, IoU.countertop: 0.5597, IoU.stove: 0.6559, IoU.palm: 0.4980, IoU.kitchen island: 0.3378, IoU.computer: 0.6253, IoU.swivel chair: 0.4084, IoU.boat: 0.5544, IoU.bar: 0.2025, IoU.arcade machine: 0.6577, IoU.hovel: 0.3709, IoU.bus: 0.8554, IoU.towel: 0.6018, IoU.light: 0.5412, IoU.truck: 0.2831, IoU.tower: 0.2910, IoU.chandelier: 0.6110, IoU.awning: 0.2343, IoU.streetlight: 0.2383, IoU.booth: 0.3809, IoU.television receiver: 0.7045, IoU.airplane: 0.5322, IoU.dirt track: 0.0739, IoU.apparel: 0.3050, IoU.pole: 0.1959, IoU.land: 0.0209, IoU.bannister: 0.1203, IoU.escalator: 0.4851, IoU.ottoman: 0.4219, IoU.bottle: 0.3727, IoU.buffet: 0.4791, IoU.poster: 0.2236, IoU.stage: 0.1376, IoU.van: 0.3897, IoU.ship: 0.6300, IoU.fountain: 0.2522, IoU.conveyer belt: 0.6990, IoU.canopy: 0.1996, IoU.washer: 0.7387, IoU.plaything: 0.2417, IoU.swimming pool: 0.7771, IoU.stool: 0.3717, IoU.barrel: 0.5240, IoU.basket: 0.3135, IoU.waterfall: 0.4685, IoU.tent: 0.9256, IoU.bag: 0.1020, IoU.minibike: 0.6189, IoU.cradle: 0.6815, IoU.oven: 0.3709, IoU.ball: 0.3869, IoU.food: 0.4034, IoU.step: 0.1632, IoU.tank: 0.4189, IoU.trade name: 0.1912, IoU.microwave: 0.8319, IoU.pot: 0.4553, IoU.animal: 0.5693, IoU.bicycle: 0.5060, IoU.lake: 0.5908, IoU.dishwasher: 0.6521, IoU.screen: 0.6321, IoU.blanket: 0.1477, IoU.sculpture: 0.5323, IoU.hood: 0.6492, IoU.sconce: 0.4242, IoU.vase: 0.3738, IoU.traffic light: 0.3492, IoU.tray: 0.0656, IoU.ashcan: 0.3937, IoU.fan: 0.5861, IoU.pier: 0.4846, IoU.crt screen: 0.0052, IoU.plate: 0.4963, IoU.monitor: 0.0465, IoU.bulletin board: 0.2559, IoU.shower: 0.0024, IoU.radiator: 0.5921, IoU.glass: 0.1129, IoU.clock: 0.3029, IoU.flag: 0.3939, Acc.wall: 0.8820, Acc.building: 0.9291, Acc.sky: 0.9759, Acc.floor: 0.9040, Acc.tree: 0.8750, Acc.ceiling: 0.9247, Acc.road: 0.9067, Acc.bed : 0.9531, Acc.windowpane: 0.7810, Acc.grass: 0.8302, Acc.cabinet: 0.6955, Acc.sidewalk: 0.8045, Acc.person: 0.9305, Acc.earth: 0.4619, Acc.door: 0.6615, Acc.table: 0.7421, Acc.mountain: 0.6846, Acc.plant: 0.6736, Acc.curtain: 0.8481, Acc.chair: 0.7025, Acc.car: 0.9208, Acc.water: 0.7868, Acc.painting: 0.8910, Acc.sofa: 0.8141, Acc.shelf: 0.6187, Acc.house: 0.6075, Acc.sea: 0.8465, Acc.mirror: 0.7396, Acc.rug: 0.7383, Acc.field: 0.4682, Acc.armchair: 0.5645, Acc.seat: 0.8111, Acc.fence: 0.5864, Acc.desk: 0.7005, Acc.rock: 0.7171, Acc.wardrobe: 0.6207, Acc.lamp: 0.7840, Acc.bathtub: 0.8482, Acc.railing: 0.4526, Acc.cushion: 0.7119, Acc.base: 0.4681, Acc.box: 0.3249, Acc.column: 0.5133, Acc.signboard: 0.5125, Acc.chest of drawers: 0.6443, Acc.counter: 0.3093, Acc.sand: 0.7470, Acc.sink: 0.7666, Acc.skyscraper: 0.6655, Acc.fireplace: 0.8562, Acc.refrigerator: 0.8189, Acc.grandstand: 0.6550, Acc.path: 0.2484, Acc.stairs: 0.2912, Acc.runway: 0.8502, Acc.case: 0.6305, Acc.pool table: 0.9598, Acc.pillow: 0.6920, Acc.screen door: 0.7193, Acc.stairway: 0.3826, Acc.river: 0.2096, Acc.bridge: 0.6123, Acc.bookcase: 0.6591, Acc.blind: 0.3948, Acc.coffee table: 0.7836, Acc.toilet: 0.9071, Acc.flower: 0.5003, Acc.book: 0.6892, Acc.hill: 0.1664, Acc.bench: 0.5082, Acc.countertop: 0.7582, Acc.stove: 0.7908, Acc.palm: 0.6612, Acc.kitchen island: 0.6129, Acc.computer: 0.7748, Acc.swivel chair: 0.5527, Acc.boat: 0.6346, Acc.bar: 0.2743, Acc.arcade machine: 0.7133, Acc.hovel: 0.4419, Acc.bus: 0.9480, Acc.towel: 0.7541, Acc.light: 0.6408, Acc.truck: 0.3674, Acc.tower: 0.3708, Acc.chandelier: 0.7114, Acc.awning: 0.2931, Acc.streetlight: 0.3110, Acc.booth: 0.3985, Acc.television receiver: 0.8029, Acc.airplane: 0.6543, Acc.dirt track: 0.1260, Acc.apparel: 0.4196, Acc.pole: 0.2521, Acc.land: 0.0328, Acc.bannister: 0.1730, Acc.escalator: 0.7241, Acc.ottoman: 0.6213, Acc.bottle: 0.6144, Acc.buffet: 0.5905, Acc.poster: 0.3081, Acc.stage: 0.2100, Acc.van: 0.5022, Acc.ship: 0.8197, Acc.fountain: 0.2755, Acc.conveyer belt: 0.9162, Acc.canopy: 0.2147, Acc.washer: 0.7508, Acc.plaything: 0.4080, Acc.swimming pool: 0.8744, Acc.stool: 0.4992, Acc.barrel: 0.6095, Acc.basket: 0.4594, Acc.waterfall: 0.6135, Acc.tent: 0.9801, Acc.bag: 0.1294, Acc.minibike: 0.6875, Acc.cradle: 0.8337, Acc.oven: 0.4607, Acc.ball: 0.5118, Acc.food: 0.4583, Acc.step: 0.2012, Acc.tank: 0.4345, Acc.trade name: 0.2017, Acc.microwave: 0.9219, Acc.pot: 0.5307, Acc.animal: 0.5921, Acc.bicycle: 0.7920, Acc.lake: 0.6324, Acc.dishwasher: 0.7553, Acc.screen: 0.9014, Acc.blanket: 0.1693, Acc.sculpture: 0.7113, Acc.hood: 0.7333, Acc.sconce: 0.4966, Acc.vase: 0.5733, Acc.traffic light: 0.5428, Acc.tray: 0.1048, Acc.ashcan: 0.5474, Acc.fan: 0.7131, Acc.pier: 0.8312, Acc.crt screen: 0.0182, Acc.plate: 0.7323, Acc.monitor: 0.0529, Acc.bulletin board: 0.3327, Acc.shower: 0.0073, Acc.radiator: 0.6782, Acc.glass: 0.1240, Acc.clock: 0.3783, Acc.flag: 0.4403 +2022-06-19 09:48:21,675 - mmseg - INFO - Iter [112050/160000] lr: 9.231e-06, eta: 3:40:47, time: 0.764, data_time: 0.489, memory: 56924, decode.loss_ce: 0.2091, decode.acc_seg: 73.2594, aux.loss_ce: 0.0992, aux.acc_seg: 72.2275, loss: 0.3083 +2022-06-19 09:48:35,031 - mmseg - INFO - Iter [112100/160000] lr: 9.221e-06, eta: 3:40:33, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2133, decode.acc_seg: 73.4174, aux.loss_ce: 0.1012, aux.acc_seg: 72.3771, loss: 0.3145 +2022-06-19 09:48:48,409 - mmseg - INFO - Iter [112150/160000] lr: 9.211e-06, eta: 3:40:19, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2082, decode.acc_seg: 73.4095, aux.loss_ce: 0.0985, aux.acc_seg: 72.4560, loss: 0.3066 +2022-06-19 09:49:01,754 - mmseg - INFO - Iter [112200/160000] lr: 9.202e-06, eta: 3:40:05, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2174, decode.acc_seg: 74.0770, aux.loss_ce: 0.1035, aux.acc_seg: 72.8383, loss: 0.3209 +2022-06-19 09:49:15,217 - mmseg - INFO - Iter [112250/160000] lr: 9.192e-06, eta: 3:39:51, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2215, decode.acc_seg: 73.7852, aux.loss_ce: 0.1053, aux.acc_seg: 72.6373, loss: 0.3268 +2022-06-19 09:49:28,784 - mmseg - INFO - Iter [112300/160000] lr: 9.183e-06, eta: 3:39:37, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2220, decode.acc_seg: 73.5076, aux.loss_ce: 0.1061, aux.acc_seg: 72.4852, loss: 0.3281 +2022-06-19 09:49:42,123 - mmseg - INFO - Iter [112350/160000] lr: 9.173e-06, eta: 3:39:23, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2150, decode.acc_seg: 74.8421, aux.loss_ce: 0.1014, aux.acc_seg: 73.8079, loss: 0.3165 +2022-06-19 09:49:55,400 - mmseg - INFO - Iter [112400/160000] lr: 9.163e-06, eta: 3:39:09, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2237, decode.acc_seg: 72.5668, aux.loss_ce: 0.1062, aux.acc_seg: 71.4605, loss: 0.3299 +2022-06-19 09:50:10,856 - mmseg - INFO - Iter [112450/160000] lr: 9.154e-06, eta: 3:38:56, time: 0.309, data_time: 0.049, memory: 56924, decode.loss_ce: 0.2122, decode.acc_seg: 73.7456, aux.loss_ce: 0.1024, aux.acc_seg: 72.6218, loss: 0.3146 +2022-06-19 09:50:24,289 - mmseg - INFO - Iter [112500/160000] lr: 9.144e-06, eta: 3:38:42, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2066, decode.acc_seg: 72.7281, aux.loss_ce: 0.0983, aux.acc_seg: 71.7729, loss: 0.3049 +2022-06-19 09:50:37,641 - mmseg - INFO - Iter [112550/160000] lr: 9.134e-06, eta: 3:38:28, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2033, decode.acc_seg: 74.4622, aux.loss_ce: 0.0988, aux.acc_seg: 73.3382, loss: 0.3021 +2022-06-19 09:50:51,059 - mmseg - INFO - Iter [112600/160000] lr: 9.125e-06, eta: 3:38:14, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2325, decode.acc_seg: 73.1941, aux.loss_ce: 0.1098, aux.acc_seg: 72.1634, loss: 0.3423 +2022-06-19 09:51:04,517 - mmseg - INFO - Iter [112650/160000] lr: 9.115e-06, eta: 3:38:00, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2101, decode.acc_seg: 74.4788, aux.loss_ce: 0.0995, aux.acc_seg: 73.5117, loss: 0.3096 +2022-06-19 09:51:17,866 - mmseg - INFO - Iter [112700/160000] lr: 9.106e-06, eta: 3:37:46, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2036, decode.acc_seg: 73.1399, aux.loss_ce: 0.0976, aux.acc_seg: 72.1253, loss: 0.3012 +2022-06-19 09:51:31,328 - mmseg - INFO - Iter [112750/160000] lr: 9.096e-06, eta: 3:37:32, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2085, decode.acc_seg: 73.9049, aux.loss_ce: 0.1007, aux.acc_seg: 72.8316, loss: 0.3091 +2022-06-19 09:51:45,005 - mmseg - INFO - Iter [112800/160000] lr: 9.086e-06, eta: 3:37:18, time: 0.274, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1966, decode.acc_seg: 73.0493, aux.loss_ce: 0.0939, aux.acc_seg: 72.0312, loss: 0.2905 +2022-06-19 09:51:58,271 - mmseg - INFO - Iter [112850/160000] lr: 9.077e-06, eta: 3:37:04, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2139, decode.acc_seg: 73.9129, aux.loss_ce: 0.1019, aux.acc_seg: 72.9209, loss: 0.3158 +2022-06-19 09:52:11,494 - mmseg - INFO - Iter [112900/160000] lr: 9.067e-06, eta: 3:36:50, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2058, decode.acc_seg: 73.7402, aux.loss_ce: 0.0996, aux.acc_seg: 72.5982, loss: 0.3055 +2022-06-19 09:52:24,959 - mmseg - INFO - Iter [112950/160000] lr: 9.057e-06, eta: 3:36:36, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2084, decode.acc_seg: 73.7641, aux.loss_ce: 0.1016, aux.acc_seg: 72.4495, loss: 0.3099 +2022-06-19 09:52:38,397 - mmseg - INFO - Saving checkpoint at 113000 iterations +2022-06-19 09:52:41,280 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 09:52:41,280 - mmseg - INFO - Iter [113000/160000] lr: 9.048e-06, eta: 3:36:23, time: 0.326, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2057, decode.acc_seg: 72.7627, aux.loss_ce: 0.0992, aux.acc_seg: 71.6763, loss: 0.3049 +2022-06-19 09:52:54,746 - mmseg - INFO - Iter [113050/160000] lr: 9.038e-06, eta: 3:36:09, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2176, decode.acc_seg: 74.9724, aux.loss_ce: 0.1028, aux.acc_seg: 74.0063, loss: 0.3203 +2022-06-19 09:53:08,307 - mmseg - INFO - Iter [113100/160000] lr: 9.029e-06, eta: 3:35:55, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2005, decode.acc_seg: 73.7409, aux.loss_ce: 0.0957, aux.acc_seg: 72.7950, loss: 0.2962 +2022-06-19 09:53:21,913 - mmseg - INFO - Iter [113150/160000] lr: 9.019e-06, eta: 3:35:42, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2099, decode.acc_seg: 74.1278, aux.loss_ce: 0.1002, aux.acc_seg: 73.1508, loss: 0.3101 +2022-06-19 09:53:35,438 - mmseg - INFO - Iter [113200/160000] lr: 9.009e-06, eta: 3:35:28, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2226, decode.acc_seg: 74.3489, aux.loss_ce: 0.1050, aux.acc_seg: 73.3382, loss: 0.3276 +2022-06-19 09:53:48,743 - mmseg - INFO - Iter [113250/160000] lr: 9.000e-06, eta: 3:35:14, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2224, decode.acc_seg: 73.5848, aux.loss_ce: 0.1050, aux.acc_seg: 72.4579, loss: 0.3274 +2022-06-19 09:54:02,445 - mmseg - INFO - Iter [113300/160000] lr: 8.990e-06, eta: 3:35:00, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2198, decode.acc_seg: 72.5397, aux.loss_ce: 0.1043, aux.acc_seg: 71.5029, loss: 0.3240 +2022-06-19 09:54:15,827 - mmseg - INFO - Iter [113350/160000] lr: 8.980e-06, eta: 3:34:46, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2017, decode.acc_seg: 73.7529, aux.loss_ce: 0.0963, aux.acc_seg: 72.6752, loss: 0.2980 +2022-06-19 09:54:29,209 - mmseg - INFO - Iter [113400/160000] lr: 8.971e-06, eta: 3:34:32, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2263, decode.acc_seg: 74.2682, aux.loss_ce: 0.1085, aux.acc_seg: 73.0842, loss: 0.3348 +2022-06-19 09:54:42,548 - mmseg - INFO - Iter [113450/160000] lr: 8.961e-06, eta: 3:34:18, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2157, decode.acc_seg: 73.5622, aux.loss_ce: 0.1032, aux.acc_seg: 72.4787, loss: 0.3189 +2022-06-19 09:54:55,911 - mmseg - INFO - Iter [113500/160000] lr: 8.952e-06, eta: 3:34:04, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2187, decode.acc_seg: 73.1456, aux.loss_ce: 0.1051, aux.acc_seg: 71.9801, loss: 0.3238 +2022-06-19 09:55:09,294 - mmseg - INFO - Iter [113550/160000] lr: 8.942e-06, eta: 3:33:50, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2357, decode.acc_seg: 73.6019, aux.loss_ce: 0.1133, aux.acc_seg: 72.3557, loss: 0.3490 +2022-06-19 09:55:22,789 - mmseg - INFO - Iter [113600/160000] lr: 8.932e-06, eta: 3:33:36, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2116, decode.acc_seg: 72.5720, aux.loss_ce: 0.1008, aux.acc_seg: 71.5391, loss: 0.3124 +2022-06-19 09:55:36,009 - mmseg - INFO - Iter [113650/160000] lr: 8.923e-06, eta: 3:33:22, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2139, decode.acc_seg: 75.3051, aux.loss_ce: 0.1034, aux.acc_seg: 74.1339, loss: 0.3174 +2022-06-19 09:55:51,539 - mmseg - INFO - Iter [113700/160000] lr: 8.913e-06, eta: 3:33:09, time: 0.310, data_time: 0.048, memory: 56924, decode.loss_ce: 0.2300, decode.acc_seg: 73.5554, aux.loss_ce: 0.1089, aux.acc_seg: 72.6739, loss: 0.3390 +2022-06-19 09:56:05,207 - mmseg - INFO - Iter [113750/160000] lr: 8.903e-06, eta: 3:32:55, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1935, decode.acc_seg: 74.6356, aux.loss_ce: 0.0933, aux.acc_seg: 73.6089, loss: 0.2869 +2022-06-19 09:56:18,660 - mmseg - INFO - Iter [113800/160000] lr: 8.894e-06, eta: 3:32:41, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2159, decode.acc_seg: 73.8952, aux.loss_ce: 0.1043, aux.acc_seg: 72.6970, loss: 0.3202 +2022-06-19 09:56:31,889 - mmseg - INFO - Iter [113850/160000] lr: 8.884e-06, eta: 3:32:27, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2257, decode.acc_seg: 73.9187, aux.loss_ce: 0.1083, aux.acc_seg: 72.5828, loss: 0.3341 +2022-06-19 09:56:45,093 - mmseg - INFO - Iter [113900/160000] lr: 8.875e-06, eta: 3:32:13, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2145, decode.acc_seg: 72.6778, aux.loss_ce: 0.1027, aux.acc_seg: 71.5560, loss: 0.3172 +2022-06-19 09:56:58,298 - mmseg - INFO - Iter [113950/160000] lr: 8.865e-06, eta: 3:31:59, time: 0.264, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2193, decode.acc_seg: 73.3976, aux.loss_ce: 0.1061, aux.acc_seg: 72.2190, loss: 0.3254 +2022-06-19 09:57:11,694 - mmseg - INFO - Saving checkpoint at 114000 iterations +2022-06-19 09:57:14,595 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 09:57:14,595 - mmseg - INFO - Iter [114000/160000] lr: 8.855e-06, eta: 3:31:46, time: 0.326, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2166, decode.acc_seg: 73.7362, aux.loss_ce: 0.1031, aux.acc_seg: 72.7013, loss: 0.3197 +2022-06-19 09:57:28,066 - mmseg - INFO - Iter [114050/160000] lr: 8.846e-06, eta: 3:31:32, time: 0.269, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2088, decode.acc_seg: 73.0338, aux.loss_ce: 0.1008, aux.acc_seg: 71.8856, loss: 0.3096 +2022-06-19 09:57:41,520 - mmseg - INFO - Iter [114100/160000] lr: 8.836e-06, eta: 3:31:18, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2274, decode.acc_seg: 74.5314, aux.loss_ce: 0.1076, aux.acc_seg: 73.5858, loss: 0.3350 +2022-06-19 09:57:54,979 - mmseg - INFO - Iter [114150/160000] lr: 8.826e-06, eta: 3:31:04, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2067, decode.acc_seg: 75.1179, aux.loss_ce: 0.0982, aux.acc_seg: 74.0100, loss: 0.3049 +2022-06-19 09:58:08,365 - mmseg - INFO - Iter [114200/160000] lr: 8.817e-06, eta: 3:30:50, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2098, decode.acc_seg: 74.3086, aux.loss_ce: 0.1009, aux.acc_seg: 73.2411, loss: 0.3107 +2022-06-19 09:58:21,629 - mmseg - INFO - Iter [114250/160000] lr: 8.807e-06, eta: 3:30:36, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2124, decode.acc_seg: 74.0415, aux.loss_ce: 0.1032, aux.acc_seg: 72.7968, loss: 0.3156 +2022-06-19 09:58:34,953 - mmseg - INFO - Iter [114300/160000] lr: 8.798e-06, eta: 3:30:22, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2077, decode.acc_seg: 73.8687, aux.loss_ce: 0.0983, aux.acc_seg: 72.8770, loss: 0.3059 +2022-06-19 09:58:48,397 - mmseg - INFO - Iter [114350/160000] lr: 8.788e-06, eta: 3:30:08, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2136, decode.acc_seg: 74.3818, aux.loss_ce: 0.1039, aux.acc_seg: 73.1739, loss: 0.3175 +2022-06-19 09:59:01,923 - mmseg - INFO - Iter [114400/160000] lr: 8.778e-06, eta: 3:29:54, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2161, decode.acc_seg: 74.2751, aux.loss_ce: 0.1047, aux.acc_seg: 73.0026, loss: 0.3207 +2022-06-19 09:59:15,641 - mmseg - INFO - Iter [114450/160000] lr: 8.769e-06, eta: 3:29:40, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2024, decode.acc_seg: 75.3625, aux.loss_ce: 0.0968, aux.acc_seg: 74.3791, loss: 0.2992 +2022-06-19 09:59:29,183 - mmseg - INFO - Iter [114500/160000] lr: 8.759e-06, eta: 3:29:26, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2275, decode.acc_seg: 72.0856, aux.loss_ce: 0.1093, aux.acc_seg: 70.8594, loss: 0.3367 +2022-06-19 09:59:43,012 - mmseg - INFO - Iter [114550/160000] lr: 8.749e-06, eta: 3:29:13, time: 0.277, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1992, decode.acc_seg: 74.6607, aux.loss_ce: 0.0945, aux.acc_seg: 73.5897, loss: 0.2937 +2022-06-19 09:59:56,341 - mmseg - INFO - Iter [114600/160000] lr: 8.740e-06, eta: 3:28:59, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2155, decode.acc_seg: 73.0241, aux.loss_ce: 0.1039, aux.acc_seg: 71.6976, loss: 0.3194 +2022-06-19 10:00:09,716 - mmseg - INFO - Iter [114650/160000] lr: 8.730e-06, eta: 3:28:45, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2087, decode.acc_seg: 73.5107, aux.loss_ce: 0.1021, aux.acc_seg: 72.3248, loss: 0.3108 +2022-06-19 10:00:23,133 - mmseg - INFO - Iter [114700/160000] lr: 8.721e-06, eta: 3:28:31, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1947, decode.acc_seg: 74.5860, aux.loss_ce: 0.0922, aux.acc_seg: 73.6129, loss: 0.2869 +2022-06-19 10:00:36,585 - mmseg - INFO - Iter [114750/160000] lr: 8.711e-06, eta: 3:28:17, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2077, decode.acc_seg: 74.7811, aux.loss_ce: 0.0982, aux.acc_seg: 73.7799, loss: 0.3058 +2022-06-19 10:00:50,141 - mmseg - INFO - Iter [114800/160000] lr: 8.701e-06, eta: 3:28:03, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2151, decode.acc_seg: 74.3140, aux.loss_ce: 0.1024, aux.acc_seg: 73.2997, loss: 0.3175 +2022-06-19 10:01:03,482 - mmseg - INFO - Iter [114850/160000] lr: 8.692e-06, eta: 3:27:49, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2251, decode.acc_seg: 73.2366, aux.loss_ce: 0.1079, aux.acc_seg: 72.1888, loss: 0.3330 +2022-06-19 10:01:17,193 - mmseg - INFO - Iter [114900/160000] lr: 8.682e-06, eta: 3:27:35, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2225, decode.acc_seg: 73.5049, aux.loss_ce: 0.1079, aux.acc_seg: 72.3361, loss: 0.3303 +2022-06-19 10:01:32,761 - mmseg - INFO - Iter [114950/160000] lr: 8.672e-06, eta: 3:27:22, time: 0.312, data_time: 0.050, memory: 56924, decode.loss_ce: 0.2119, decode.acc_seg: 74.6342, aux.loss_ce: 0.1029, aux.acc_seg: 73.4842, loss: 0.3148 +2022-06-19 10:01:46,172 - mmseg - INFO - Saving checkpoint at 115000 iterations +2022-06-19 10:01:49,129 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 10:01:49,129 - mmseg - INFO - Iter [115000/160000] lr: 8.663e-06, eta: 3:27:09, time: 0.327, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2072, decode.acc_seg: 74.6344, aux.loss_ce: 0.0998, aux.acc_seg: 73.5342, loss: 0.3069 +2022-06-19 10:02:02,716 - mmseg - INFO - Iter [115050/160000] lr: 8.653e-06, eta: 3:26:55, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2219, decode.acc_seg: 74.7051, aux.loss_ce: 0.1054, aux.acc_seg: 73.6800, loss: 0.3273 +2022-06-19 10:02:16,125 - mmseg - INFO - Iter [115100/160000] lr: 8.644e-06, eta: 3:26:41, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1982, decode.acc_seg: 73.9864, aux.loss_ce: 0.0960, aux.acc_seg: 72.8666, loss: 0.2942 +2022-06-19 10:02:29,474 - mmseg - INFO - Iter [115150/160000] lr: 8.634e-06, eta: 3:26:27, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2033, decode.acc_seg: 74.2713, aux.loss_ce: 0.0969, aux.acc_seg: 73.3300, loss: 0.3002 +2022-06-19 10:02:42,970 - mmseg - INFO - Iter [115200/160000] lr: 8.624e-06, eta: 3:26:13, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2095, decode.acc_seg: 74.1606, aux.loss_ce: 0.1011, aux.acc_seg: 72.9626, loss: 0.3106 +2022-06-19 10:02:56,122 - mmseg - INFO - Iter [115250/160000] lr: 8.615e-06, eta: 3:25:59, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2081, decode.acc_seg: 73.6667, aux.loss_ce: 0.1007, aux.acc_seg: 72.5478, loss: 0.3088 +2022-06-19 10:03:09,542 - mmseg - INFO - Iter [115300/160000] lr: 8.605e-06, eta: 3:25:45, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2070, decode.acc_seg: 74.2730, aux.loss_ce: 0.0977, aux.acc_seg: 73.3480, loss: 0.3047 +2022-06-19 10:03:23,254 - mmseg - INFO - Iter [115350/160000] lr: 8.595e-06, eta: 3:25:31, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2006, decode.acc_seg: 74.0059, aux.loss_ce: 0.0973, aux.acc_seg: 72.9132, loss: 0.2979 +2022-06-19 10:03:36,788 - mmseg - INFO - Iter [115400/160000] lr: 8.586e-06, eta: 3:25:17, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2174, decode.acc_seg: 73.2018, aux.loss_ce: 0.1041, aux.acc_seg: 72.0450, loss: 0.3216 +2022-06-19 10:03:50,089 - mmseg - INFO - Iter [115450/160000] lr: 8.576e-06, eta: 3:25:03, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2116, decode.acc_seg: 74.2531, aux.loss_ce: 0.1007, aux.acc_seg: 73.1812, loss: 0.3122 +2022-06-19 10:04:03,806 - mmseg - INFO - Iter [115500/160000] lr: 8.567e-06, eta: 3:24:50, time: 0.274, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1946, decode.acc_seg: 73.5311, aux.loss_ce: 0.0931, aux.acc_seg: 72.6207, loss: 0.2878 +2022-06-19 10:04:16,999 - mmseg - INFO - Iter [115550/160000] lr: 8.557e-06, eta: 3:24:36, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2054, decode.acc_seg: 72.7478, aux.loss_ce: 0.0960, aux.acc_seg: 71.7705, loss: 0.3014 +2022-06-19 10:04:30,324 - mmseg - INFO - Iter [115600/160000] lr: 8.547e-06, eta: 3:24:22, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2103, decode.acc_seg: 72.1896, aux.loss_ce: 0.1008, aux.acc_seg: 71.0908, loss: 0.3110 +2022-06-19 10:04:43,752 - mmseg - INFO - Iter [115650/160000] lr: 8.538e-06, eta: 3:24:08, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2043, decode.acc_seg: 73.9580, aux.loss_ce: 0.0989, aux.acc_seg: 72.8331, loss: 0.3032 +2022-06-19 10:04:57,114 - mmseg - INFO - Iter [115700/160000] lr: 8.528e-06, eta: 3:23:54, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2220, decode.acc_seg: 72.0117, aux.loss_ce: 0.1065, aux.acc_seg: 70.8329, loss: 0.3284 +2022-06-19 10:05:10,666 - mmseg - INFO - Iter [115750/160000] lr: 8.518e-06, eta: 3:23:40, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2154, decode.acc_seg: 73.1325, aux.loss_ce: 0.1054, aux.acc_seg: 71.8186, loss: 0.3207 +2022-06-19 10:05:24,162 - mmseg - INFO - Iter [115800/160000] lr: 8.509e-06, eta: 3:23:26, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2102, decode.acc_seg: 73.9157, aux.loss_ce: 0.1002, aux.acc_seg: 72.9651, loss: 0.3105 +2022-06-19 10:05:37,439 - mmseg - INFO - Iter [115850/160000] lr: 8.499e-06, eta: 3:23:12, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2298, decode.acc_seg: 73.6562, aux.loss_ce: 0.1096, aux.acc_seg: 72.5263, loss: 0.3394 +2022-06-19 10:05:50,790 - mmseg - INFO - Iter [115900/160000] lr: 8.490e-06, eta: 3:22:58, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2107, decode.acc_seg: 72.3839, aux.loss_ce: 0.1010, aux.acc_seg: 71.3559, loss: 0.3117 +2022-06-19 10:06:04,243 - mmseg - INFO - Iter [115950/160000] lr: 8.480e-06, eta: 3:22:44, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2226, decode.acc_seg: 74.3499, aux.loss_ce: 0.1068, aux.acc_seg: 73.1907, loss: 0.3294 +2022-06-19 10:06:17,497 - mmseg - INFO - Saving checkpoint at 116000 iterations +2022-06-19 10:06:20,448 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 10:06:20,449 - mmseg - INFO - Iter [116000/160000] lr: 8.470e-06, eta: 3:22:31, time: 0.324, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2161, decode.acc_seg: 72.4960, aux.loss_ce: 0.1028, aux.acc_seg: 71.3564, loss: 0.3188 +2022-06-19 10:06:34,021 - mmseg - INFO - Iter [116050/160000] lr: 8.461e-06, eta: 3:22:17, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2075, decode.acc_seg: 73.6152, aux.loss_ce: 0.0992, aux.acc_seg: 72.4572, loss: 0.3067 +2022-06-19 10:06:47,311 - mmseg - INFO - Iter [116100/160000] lr: 8.451e-06, eta: 3:22:03, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2161, decode.acc_seg: 72.3720, aux.loss_ce: 0.1022, aux.acc_seg: 71.2436, loss: 0.3183 +2022-06-19 10:07:00,726 - mmseg - INFO - Iter [116150/160000] lr: 8.441e-06, eta: 3:21:49, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2242, decode.acc_seg: 75.9973, aux.loss_ce: 0.1073, aux.acc_seg: 74.7449, loss: 0.3315 +2022-06-19 10:07:16,647 - mmseg - INFO - Iter [116200/160000] lr: 8.432e-06, eta: 3:21:36, time: 0.317, data_time: 0.050, memory: 56924, decode.loss_ce: 0.2117, decode.acc_seg: 72.3171, aux.loss_ce: 0.1018, aux.acc_seg: 71.1488, loss: 0.3135 +2022-06-19 10:07:29,867 - mmseg - INFO - Iter [116250/160000] lr: 8.422e-06, eta: 3:21:22, time: 0.266, data_time: 0.006, memory: 56924, decode.loss_ce: 0.2056, decode.acc_seg: 73.3632, aux.loss_ce: 0.0991, aux.acc_seg: 72.1943, loss: 0.3047 +2022-06-19 10:07:43,496 - mmseg - INFO - Iter [116300/160000] lr: 8.413e-06, eta: 3:21:08, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2030, decode.acc_seg: 74.5651, aux.loss_ce: 0.0971, aux.acc_seg: 73.5268, loss: 0.3001 +2022-06-19 10:07:56,983 - mmseg - INFO - Iter [116350/160000] lr: 8.403e-06, eta: 3:20:54, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1943, decode.acc_seg: 74.3884, aux.loss_ce: 0.0945, aux.acc_seg: 73.2817, loss: 0.2888 +2022-06-19 10:08:10,268 - mmseg - INFO - Iter [116400/160000] lr: 8.393e-06, eta: 3:20:40, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2104, decode.acc_seg: 72.9908, aux.loss_ce: 0.1028, aux.acc_seg: 71.7431, loss: 0.3132 +2022-06-19 10:08:23,670 - mmseg - INFO - Iter [116450/160000] lr: 8.384e-06, eta: 3:20:26, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2088, decode.acc_seg: 75.5230, aux.loss_ce: 0.1003, aux.acc_seg: 74.4444, loss: 0.3091 +2022-06-19 10:08:37,305 - mmseg - INFO - Iter [116500/160000] lr: 8.374e-06, eta: 3:20:12, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2061, decode.acc_seg: 74.0022, aux.loss_ce: 0.0973, aux.acc_seg: 72.9710, loss: 0.3034 +2022-06-19 10:08:50,656 - mmseg - INFO - Iter [116550/160000] lr: 8.364e-06, eta: 3:19:58, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1962, decode.acc_seg: 73.7882, aux.loss_ce: 0.0929, aux.acc_seg: 72.8847, loss: 0.2891 +2022-06-19 10:09:04,079 - mmseg - INFO - Iter [116600/160000] lr: 8.355e-06, eta: 3:19:44, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2198, decode.acc_seg: 73.4351, aux.loss_ce: 0.1034, aux.acc_seg: 72.3428, loss: 0.3233 +2022-06-19 10:09:17,321 - mmseg - INFO - Iter [116650/160000] lr: 8.345e-06, eta: 3:19:30, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2037, decode.acc_seg: 74.3718, aux.loss_ce: 0.0983, aux.acc_seg: 73.1551, loss: 0.3020 +2022-06-19 10:09:30,574 - mmseg - INFO - Iter [116700/160000] lr: 8.336e-06, eta: 3:19:16, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2096, decode.acc_seg: 73.2535, aux.loss_ce: 0.0992, aux.acc_seg: 72.2480, loss: 0.3088 +2022-06-19 10:09:43,832 - mmseg - INFO - Iter [116750/160000] lr: 8.326e-06, eta: 3:19:02, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2227, decode.acc_seg: 73.4598, aux.loss_ce: 0.1061, aux.acc_seg: 72.3021, loss: 0.3288 +2022-06-19 10:09:57,517 - mmseg - INFO - Iter [116800/160000] lr: 8.316e-06, eta: 3:18:49, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2066, decode.acc_seg: 73.6467, aux.loss_ce: 0.0984, aux.acc_seg: 72.6977, loss: 0.3050 +2022-06-19 10:10:10,887 - mmseg - INFO - Iter [116850/160000] lr: 8.307e-06, eta: 3:18:35, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2196, decode.acc_seg: 71.7711, aux.loss_ce: 0.1057, aux.acc_seg: 70.6889, loss: 0.3254 +2022-06-19 10:10:24,590 - mmseg - INFO - Iter [116900/160000] lr: 8.297e-06, eta: 3:18:21, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2255, decode.acc_seg: 73.3488, aux.loss_ce: 0.1068, aux.acc_seg: 72.2022, loss: 0.3324 +2022-06-19 10:10:37,771 - mmseg - INFO - Iter [116950/160000] lr: 8.287e-06, eta: 3:18:07, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1979, decode.acc_seg: 74.2307, aux.loss_ce: 0.0954, aux.acc_seg: 73.1247, loss: 0.2933 +2022-06-19 10:10:51,341 - mmseg - INFO - Saving checkpoint at 117000 iterations +2022-06-19 10:10:54,315 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 10:10:54,315 - mmseg - INFO - Iter [117000/160000] lr: 8.278e-06, eta: 3:17:54, time: 0.331, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2038, decode.acc_seg: 74.6787, aux.loss_ce: 0.0979, aux.acc_seg: 73.5916, loss: 0.3017 +2022-06-19 10:11:07,739 - mmseg - INFO - Iter [117050/160000] lr: 8.268e-06, eta: 3:17:40, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2015, decode.acc_seg: 72.2476, aux.loss_ce: 0.0952, aux.acc_seg: 71.2356, loss: 0.2967 +2022-06-19 10:11:21,506 - mmseg - INFO - Iter [117100/160000] lr: 8.259e-06, eta: 3:17:26, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1978, decode.acc_seg: 74.0861, aux.loss_ce: 0.0961, aux.acc_seg: 72.9614, loss: 0.2939 +2022-06-19 10:11:35,097 - mmseg - INFO - Iter [117150/160000] lr: 8.249e-06, eta: 3:17:12, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1932, decode.acc_seg: 73.6819, aux.loss_ce: 0.0936, aux.acc_seg: 72.5255, loss: 0.2868 +2022-06-19 10:11:48,652 - mmseg - INFO - Iter [117200/160000] lr: 8.239e-06, eta: 3:16:58, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2183, decode.acc_seg: 73.1083, aux.loss_ce: 0.1066, aux.acc_seg: 71.8517, loss: 0.3249 +2022-06-19 10:12:02,157 - mmseg - INFO - Iter [117250/160000] lr: 8.230e-06, eta: 3:16:44, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2170, decode.acc_seg: 73.5870, aux.loss_ce: 0.1032, aux.acc_seg: 72.4907, loss: 0.3202 +2022-06-19 10:12:15,512 - mmseg - INFO - Iter [117300/160000] lr: 8.220e-06, eta: 3:16:30, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2144, decode.acc_seg: 75.1225, aux.loss_ce: 0.1028, aux.acc_seg: 74.0441, loss: 0.3172 +2022-06-19 10:12:28,920 - mmseg - INFO - Iter [117350/160000] lr: 8.210e-06, eta: 3:16:17, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2062, decode.acc_seg: 72.7307, aux.loss_ce: 0.1005, aux.acc_seg: 71.5762, loss: 0.3066 +2022-06-19 10:12:42,340 - mmseg - INFO - Iter [117400/160000] lr: 8.201e-06, eta: 3:16:03, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2087, decode.acc_seg: 73.9239, aux.loss_ce: 0.0999, aux.acc_seg: 72.9310, loss: 0.3086 +2022-06-19 10:12:55,727 - mmseg - INFO - Iter [117450/160000] lr: 8.191e-06, eta: 3:15:49, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2113, decode.acc_seg: 72.1625, aux.loss_ce: 0.1021, aux.acc_seg: 70.9728, loss: 0.3135 +2022-06-19 10:13:11,558 - mmseg - INFO - Iter [117500/160000] lr: 8.182e-06, eta: 3:15:36, time: 0.317, data_time: 0.050, memory: 56924, decode.loss_ce: 0.2230, decode.acc_seg: 73.0601, aux.loss_ce: 0.1076, aux.acc_seg: 71.8088, loss: 0.3306 +2022-06-19 10:13:25,375 - mmseg - INFO - Iter [117550/160000] lr: 8.172e-06, eta: 3:15:22, time: 0.276, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2062, decode.acc_seg: 74.2494, aux.loss_ce: 0.0983, aux.acc_seg: 73.2542, loss: 0.3045 +2022-06-19 10:13:39,171 - mmseg - INFO - Iter [117600/160000] lr: 8.162e-06, eta: 3:15:08, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2034, decode.acc_seg: 73.3861, aux.loss_ce: 0.0964, aux.acc_seg: 72.4767, loss: 0.2997 +2022-06-19 10:13:52,255 - mmseg - INFO - Iter [117650/160000] lr: 8.153e-06, eta: 3:14:54, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2080, decode.acc_seg: 72.4519, aux.loss_ce: 0.1002, aux.acc_seg: 71.4255, loss: 0.3081 +2022-06-19 10:14:05,887 - mmseg - INFO - Iter [117700/160000] lr: 8.143e-06, eta: 3:14:40, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2116, decode.acc_seg: 74.9532, aux.loss_ce: 0.1004, aux.acc_seg: 73.9369, loss: 0.3120 +2022-06-19 10:14:19,297 - mmseg - INFO - Iter [117750/160000] lr: 8.133e-06, eta: 3:14:26, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2246, decode.acc_seg: 73.0963, aux.loss_ce: 0.1075, aux.acc_seg: 71.8570, loss: 0.3321 +2022-06-19 10:14:32,942 - mmseg - INFO - Iter [117800/160000] lr: 8.124e-06, eta: 3:14:12, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2024, decode.acc_seg: 74.1076, aux.loss_ce: 0.0975, aux.acc_seg: 73.0453, loss: 0.3000 +2022-06-19 10:14:46,358 - mmseg - INFO - Iter [117850/160000] lr: 8.114e-06, eta: 3:13:58, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2309, decode.acc_seg: 74.1986, aux.loss_ce: 0.1091, aux.acc_seg: 73.1664, loss: 0.3399 +2022-06-19 10:14:59,787 - mmseg - INFO - Iter [117900/160000] lr: 8.105e-06, eta: 3:13:44, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2029, decode.acc_seg: 74.4282, aux.loss_ce: 0.0980, aux.acc_seg: 73.3168, loss: 0.3009 +2022-06-19 10:15:13,077 - mmseg - INFO - Iter [117950/160000] lr: 8.095e-06, eta: 3:13:30, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2036, decode.acc_seg: 73.7273, aux.loss_ce: 0.0980, aux.acc_seg: 72.6647, loss: 0.3016 +2022-06-19 10:15:26,669 - mmseg - INFO - Saving checkpoint at 118000 iterations +2022-06-19 10:15:29,612 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 10:15:29,612 - mmseg - INFO - Iter [118000/160000] lr: 8.085e-06, eta: 3:13:17, time: 0.331, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2044, decode.acc_seg: 72.5061, aux.loss_ce: 0.1006, aux.acc_seg: 71.2420, loss: 0.3050 +2022-06-19 10:15:43,149 - mmseg - INFO - Iter [118050/160000] lr: 8.076e-06, eta: 3:13:04, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2207, decode.acc_seg: 73.5573, aux.loss_ce: 0.1064, aux.acc_seg: 72.4002, loss: 0.3271 +2022-06-19 10:15:56,721 - mmseg - INFO - Iter [118100/160000] lr: 8.066e-06, eta: 3:12:50, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2258, decode.acc_seg: 73.9902, aux.loss_ce: 0.1099, aux.acc_seg: 72.6293, loss: 0.3357 +2022-06-19 10:16:10,112 - mmseg - INFO - Iter [118150/160000] lr: 8.056e-06, eta: 3:12:36, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2131, decode.acc_seg: 73.0226, aux.loss_ce: 0.1030, aux.acc_seg: 71.9126, loss: 0.3161 +2022-06-19 10:16:23,535 - mmseg - INFO - Iter [118200/160000] lr: 8.047e-06, eta: 3:12:22, time: 0.269, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2133, decode.acc_seg: 73.9871, aux.loss_ce: 0.1037, aux.acc_seg: 72.7442, loss: 0.3170 +2022-06-19 10:16:37,038 - mmseg - INFO - Iter [118250/160000] lr: 8.037e-06, eta: 3:12:08, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2197, decode.acc_seg: 73.3724, aux.loss_ce: 0.1051, aux.acc_seg: 72.2995, loss: 0.3248 +2022-06-19 10:16:50,628 - mmseg - INFO - Iter [118300/160000] lr: 8.028e-06, eta: 3:11:54, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1961, decode.acc_seg: 74.1806, aux.loss_ce: 0.0935, aux.acc_seg: 73.1623, loss: 0.2896 +2022-06-19 10:17:03,962 - mmseg - INFO - Iter [118350/160000] lr: 8.018e-06, eta: 3:11:40, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2118, decode.acc_seg: 75.5121, aux.loss_ce: 0.1018, aux.acc_seg: 74.3748, loss: 0.3136 +2022-06-19 10:17:17,336 - mmseg - INFO - Iter [118400/160000] lr: 8.008e-06, eta: 3:11:26, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2089, decode.acc_seg: 72.7413, aux.loss_ce: 0.1007, aux.acc_seg: 71.5915, loss: 0.3096 +2022-06-19 10:17:30,920 - mmseg - INFO - Iter [118450/160000] lr: 7.999e-06, eta: 3:11:12, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2036, decode.acc_seg: 74.5874, aux.loss_ce: 0.0996, aux.acc_seg: 73.4271, loss: 0.3032 +2022-06-19 10:17:44,655 - mmseg - INFO - Iter [118500/160000] lr: 7.989e-06, eta: 3:10:58, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1999, decode.acc_seg: 74.0812, aux.loss_ce: 0.0943, aux.acc_seg: 73.1437, loss: 0.2942 +2022-06-19 10:17:58,011 - mmseg - INFO - Iter [118550/160000] lr: 7.979e-06, eta: 3:10:44, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2148, decode.acc_seg: 73.7756, aux.loss_ce: 0.1032, aux.acc_seg: 72.6892, loss: 0.3181 +2022-06-19 10:18:11,424 - mmseg - INFO - Iter [118600/160000] lr: 7.970e-06, eta: 3:10:30, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2058, decode.acc_seg: 74.9204, aux.loss_ce: 0.1006, aux.acc_seg: 73.6809, loss: 0.3065 +2022-06-19 10:18:25,251 - mmseg - INFO - Iter [118650/160000] lr: 7.960e-06, eta: 3:10:17, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2219, decode.acc_seg: 72.0143, aux.loss_ce: 0.1052, aux.acc_seg: 70.9785, loss: 0.3271 +2022-06-19 10:18:38,939 - mmseg - INFO - Iter [118700/160000] lr: 7.951e-06, eta: 3:10:03, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2083, decode.acc_seg: 73.5707, aux.loss_ce: 0.0988, aux.acc_seg: 72.5823, loss: 0.3071 +2022-06-19 10:18:54,807 - mmseg - INFO - Iter [118750/160000] lr: 7.941e-06, eta: 3:09:50, time: 0.317, data_time: 0.052, memory: 56924, decode.loss_ce: 0.2087, decode.acc_seg: 72.0761, aux.loss_ce: 0.1006, aux.acc_seg: 70.9129, loss: 0.3093 +2022-06-19 10:19:08,474 - mmseg - INFO - Iter [118800/160000] lr: 7.931e-06, eta: 3:09:36, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2186, decode.acc_seg: 73.9949, aux.loss_ce: 0.1057, aux.acc_seg: 72.8340, loss: 0.3243 +2022-06-19 10:19:21,819 - mmseg - INFO - Iter [118850/160000] lr: 7.922e-06, eta: 3:09:22, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2041, decode.acc_seg: 73.6379, aux.loss_ce: 0.0976, aux.acc_seg: 72.5503, loss: 0.3016 +2022-06-19 10:19:35,209 - mmseg - INFO - Iter [118900/160000] lr: 7.912e-06, eta: 3:09:08, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2142, decode.acc_seg: 73.2376, aux.loss_ce: 0.1041, aux.acc_seg: 71.9536, loss: 0.3184 +2022-06-19 10:19:48,460 - mmseg - INFO - Iter [118950/160000] lr: 7.902e-06, eta: 3:08:54, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2021, decode.acc_seg: 73.9719, aux.loss_ce: 0.0969, aux.acc_seg: 72.8885, loss: 0.2990 +2022-06-19 10:20:02,011 - mmseg - INFO - Saving checkpoint at 119000 iterations +2022-06-19 10:20:04,969 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 10:20:04,969 - mmseg - INFO - Iter [119000/160000] lr: 7.893e-06, eta: 3:08:41, time: 0.330, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1923, decode.acc_seg: 75.1685, aux.loss_ce: 0.0941, aux.acc_seg: 74.0147, loss: 0.2864 +2022-06-19 10:20:18,535 - mmseg - INFO - Iter [119050/160000] lr: 7.883e-06, eta: 3:08:27, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2178, decode.acc_seg: 75.5274, aux.loss_ce: 0.1045, aux.acc_seg: 74.3680, loss: 0.3223 +2022-06-19 10:20:32,015 - mmseg - INFO - Iter [119100/160000] lr: 7.874e-06, eta: 3:08:13, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2197, decode.acc_seg: 73.2816, aux.loss_ce: 0.1071, aux.acc_seg: 72.0157, loss: 0.3269 +2022-06-19 10:20:45,271 - mmseg - INFO - Iter [119150/160000] lr: 7.864e-06, eta: 3:07:59, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2087, decode.acc_seg: 73.8622, aux.loss_ce: 0.0998, aux.acc_seg: 72.7763, loss: 0.3086 +2022-06-19 10:20:58,857 - mmseg - INFO - Iter [119200/160000] lr: 7.854e-06, eta: 3:07:45, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2105, decode.acc_seg: 74.2109, aux.loss_ce: 0.1011, aux.acc_seg: 73.0229, loss: 0.3117 +2022-06-19 10:21:12,167 - mmseg - INFO - Iter [119250/160000] lr: 7.845e-06, eta: 3:07:31, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2047, decode.acc_seg: 73.5972, aux.loss_ce: 0.0967, aux.acc_seg: 72.6149, loss: 0.3014 +2022-06-19 10:21:25,355 - mmseg - INFO - Iter [119300/160000] lr: 7.835e-06, eta: 3:07:17, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2134, decode.acc_seg: 72.6469, aux.loss_ce: 0.1035, aux.acc_seg: 71.4921, loss: 0.3169 +2022-06-19 10:21:38,919 - mmseg - INFO - Iter [119350/160000] lr: 7.825e-06, eta: 3:07:03, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2005, decode.acc_seg: 75.0162, aux.loss_ce: 0.0976, aux.acc_seg: 73.8030, loss: 0.2981 +2022-06-19 10:21:52,384 - mmseg - INFO - Iter [119400/160000] lr: 7.816e-06, eta: 3:06:50, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1994, decode.acc_seg: 74.0184, aux.loss_ce: 0.0962, aux.acc_seg: 72.9929, loss: 0.2956 +2022-06-19 10:22:05,870 - mmseg - INFO - Iter [119450/160000] lr: 7.806e-06, eta: 3:06:36, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2107, decode.acc_seg: 73.7862, aux.loss_ce: 0.1003, aux.acc_seg: 72.6748, loss: 0.3110 +2022-06-19 10:22:19,442 - mmseg - INFO - Iter [119500/160000] lr: 7.797e-06, eta: 3:06:22, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2260, decode.acc_seg: 74.2289, aux.loss_ce: 0.1089, aux.acc_seg: 73.1253, loss: 0.3349 +2022-06-19 10:22:32,871 - mmseg - INFO - Iter [119550/160000] lr: 7.787e-06, eta: 3:06:08, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2059, decode.acc_seg: 72.9069, aux.loss_ce: 0.0997, aux.acc_seg: 71.6827, loss: 0.3056 +2022-06-19 10:22:46,240 - mmseg - INFO - Iter [119600/160000] lr: 7.777e-06, eta: 3:05:54, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2022, decode.acc_seg: 74.4347, aux.loss_ce: 0.0989, aux.acc_seg: 73.2380, loss: 0.3010 +2022-06-19 10:22:59,752 - mmseg - INFO - Iter [119650/160000] lr: 7.768e-06, eta: 3:05:40, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2086, decode.acc_seg: 73.0038, aux.loss_ce: 0.0990, aux.acc_seg: 72.0017, loss: 0.3076 +2022-06-19 10:23:13,329 - mmseg - INFO - Iter [119700/160000] lr: 7.758e-06, eta: 3:05:26, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2056, decode.acc_seg: 72.8941, aux.loss_ce: 0.0992, aux.acc_seg: 71.7587, loss: 0.3048 +2022-06-19 10:23:26,724 - mmseg - INFO - Iter [119750/160000] lr: 7.748e-06, eta: 3:05:12, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1985, decode.acc_seg: 73.5320, aux.loss_ce: 0.0930, aux.acc_seg: 72.5997, loss: 0.2915 +2022-06-19 10:23:39,971 - mmseg - INFO - Iter [119800/160000] lr: 7.739e-06, eta: 3:04:58, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2248, decode.acc_seg: 74.2220, aux.loss_ce: 0.1088, aux.acc_seg: 73.0515, loss: 0.3336 +2022-06-19 10:23:53,235 - mmseg - INFO - Iter [119850/160000] lr: 7.729e-06, eta: 3:04:44, time: 0.265, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2131, decode.acc_seg: 74.9166, aux.loss_ce: 0.1011, aux.acc_seg: 73.8446, loss: 0.3142 +2022-06-19 10:24:06,995 - mmseg - INFO - Iter [119900/160000] lr: 7.720e-06, eta: 3:04:30, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2075, decode.acc_seg: 74.7741, aux.loss_ce: 0.0998, aux.acc_seg: 73.6557, loss: 0.3073 +2022-06-19 10:24:20,541 - mmseg - INFO - Iter [119950/160000] lr: 7.710e-06, eta: 3:04:16, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2293, decode.acc_seg: 73.8882, aux.loss_ce: 0.1089, aux.acc_seg: 72.8277, loss: 0.3383 +2022-06-19 10:24:36,159 - mmseg - INFO - Saving checkpoint at 120000 iterations +2022-06-19 10:24:39,056 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 10:24:39,057 - mmseg - INFO - Iter [120000/160000] lr: 7.700e-06, eta: 3:04:04, time: 0.370, data_time: 0.047, memory: 56924, decode.loss_ce: 0.2069, decode.acc_seg: 74.0602, aux.loss_ce: 0.1008, aux.acc_seg: 72.8920, loss: 0.3077 +2022-06-19 10:24:52,373 - mmseg - INFO - Iter [120050/160000] lr: 7.691e-06, eta: 3:03:50, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2127, decode.acc_seg: 74.0376, aux.loss_ce: 0.1031, aux.acc_seg: 72.8649, loss: 0.3159 +2022-06-19 10:25:05,959 - mmseg - INFO - Iter [120100/160000] lr: 7.681e-06, eta: 3:03:36, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2236, decode.acc_seg: 73.1204, aux.loss_ce: 0.1079, aux.acc_seg: 72.0062, loss: 0.3316 +2022-06-19 10:25:19,286 - mmseg - INFO - Iter [120150/160000] lr: 7.671e-06, eta: 3:03:22, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2204, decode.acc_seg: 73.3946, aux.loss_ce: 0.1053, aux.acc_seg: 72.2324, loss: 0.3257 +2022-06-19 10:25:32,741 - mmseg - INFO - Iter [120200/160000] lr: 7.662e-06, eta: 3:03:09, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2121, decode.acc_seg: 72.7026, aux.loss_ce: 0.1007, aux.acc_seg: 71.7525, loss: 0.3128 +2022-06-19 10:25:46,379 - mmseg - INFO - Iter [120250/160000] lr: 7.652e-06, eta: 3:02:55, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2324, decode.acc_seg: 73.3261, aux.loss_ce: 0.1120, aux.acc_seg: 72.0576, loss: 0.3444 +2022-06-19 10:25:59,820 - mmseg - INFO - Iter [120300/160000] lr: 7.643e-06, eta: 3:02:41, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2156, decode.acc_seg: 73.6419, aux.loss_ce: 0.1027, aux.acc_seg: 72.5642, loss: 0.3183 +2022-06-19 10:26:13,049 - mmseg - INFO - Iter [120350/160000] lr: 7.633e-06, eta: 3:02:27, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1954, decode.acc_seg: 74.9181, aux.loss_ce: 0.0930, aux.acc_seg: 73.9611, loss: 0.2884 +2022-06-19 10:26:26,482 - mmseg - INFO - Iter [120400/160000] lr: 7.623e-06, eta: 3:02:13, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1998, decode.acc_seg: 74.3355, aux.loss_ce: 0.0977, aux.acc_seg: 73.0898, loss: 0.2975 +2022-06-19 10:26:39,853 - mmseg - INFO - Iter [120450/160000] lr: 7.614e-06, eta: 3:01:59, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2131, decode.acc_seg: 74.9936, aux.loss_ce: 0.1018, aux.acc_seg: 73.8623, loss: 0.3149 +2022-06-19 10:26:53,468 - mmseg - INFO - Iter [120500/160000] lr: 7.604e-06, eta: 3:01:45, time: 0.272, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1936, decode.acc_seg: 74.2500, aux.loss_ce: 0.0927, aux.acc_seg: 73.2401, loss: 0.2863 +2022-06-19 10:27:06,938 - mmseg - INFO - Iter [120550/160000] lr: 7.594e-06, eta: 3:01:31, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2136, decode.acc_seg: 73.5036, aux.loss_ce: 0.1027, aux.acc_seg: 72.3188, loss: 0.3162 +2022-06-19 10:27:20,430 - mmseg - INFO - Iter [120600/160000] lr: 7.585e-06, eta: 3:01:17, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2005, decode.acc_seg: 73.8704, aux.loss_ce: 0.0966, aux.acc_seg: 72.8206, loss: 0.2971 +2022-06-19 10:27:33,913 - mmseg - INFO - Iter [120650/160000] lr: 7.575e-06, eta: 3:01:03, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1916, decode.acc_seg: 74.4769, aux.loss_ce: 0.0907, aux.acc_seg: 73.5372, loss: 0.2822 +2022-06-19 10:27:47,431 - mmseg - INFO - Iter [120700/160000] lr: 7.566e-06, eta: 3:00:49, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2170, decode.acc_seg: 75.7009, aux.loss_ce: 0.1058, aux.acc_seg: 74.4205, loss: 0.3228 +2022-06-19 10:28:00,995 - mmseg - INFO - Iter [120750/160000] lr: 7.556e-06, eta: 3:00:35, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2295, decode.acc_seg: 74.3602, aux.loss_ce: 0.1094, aux.acc_seg: 73.2347, loss: 0.3388 +2022-06-19 10:28:14,453 - mmseg - INFO - Iter [120800/160000] lr: 7.546e-06, eta: 3:00:22, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2099, decode.acc_seg: 75.4318, aux.loss_ce: 0.1019, aux.acc_seg: 74.2195, loss: 0.3118 +2022-06-19 10:28:27,923 - mmseg - INFO - Iter [120850/160000] lr: 7.537e-06, eta: 3:00:08, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2164, decode.acc_seg: 70.9957, aux.loss_ce: 0.1043, aux.acc_seg: 69.8041, loss: 0.3206 +2022-06-19 10:28:41,424 - mmseg - INFO - Iter [120900/160000] lr: 7.527e-06, eta: 2:59:54, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2176, decode.acc_seg: 73.9543, aux.loss_ce: 0.1042, aux.acc_seg: 72.8534, loss: 0.3219 +2022-06-19 10:28:54,765 - mmseg - INFO - Iter [120950/160000] lr: 7.517e-06, eta: 2:59:40, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1985, decode.acc_seg: 73.0522, aux.loss_ce: 0.0960, aux.acc_seg: 71.9430, loss: 0.2945 +2022-06-19 10:29:08,159 - mmseg - INFO - Saving checkpoint at 121000 iterations +2022-06-19 10:29:11,099 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 10:29:11,101 - mmseg - INFO - Iter [121000/160000] lr: 7.508e-06, eta: 2:59:27, time: 0.327, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2140, decode.acc_seg: 74.1631, aux.loss_ce: 0.1034, aux.acc_seg: 73.0096, loss: 0.3174 +2022-06-19 10:29:24,804 - mmseg - INFO - Iter [121050/160000] lr: 7.498e-06, eta: 2:59:13, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2003, decode.acc_seg: 73.8858, aux.loss_ce: 0.0969, aux.acc_seg: 72.7405, loss: 0.2972 +2022-06-19 10:29:38,326 - mmseg - INFO - Iter [121100/160000] lr: 7.489e-06, eta: 2:58:59, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2249, decode.acc_seg: 73.8983, aux.loss_ce: 0.1069, aux.acc_seg: 72.7566, loss: 0.3318 +2022-06-19 10:29:51,558 - mmseg - INFO - Iter [121150/160000] lr: 7.479e-06, eta: 2:58:45, time: 0.265, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1938, decode.acc_seg: 74.3625, aux.loss_ce: 0.0921, aux.acc_seg: 73.3898, loss: 0.2859 +2022-06-19 10:30:05,072 - mmseg - INFO - Iter [121200/160000] lr: 7.469e-06, eta: 2:58:31, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1959, decode.acc_seg: 72.6183, aux.loss_ce: 0.0948, aux.acc_seg: 71.5962, loss: 0.2907 +2022-06-19 10:30:20,660 - mmseg - INFO - Iter [121250/160000] lr: 7.460e-06, eta: 2:58:18, time: 0.312, data_time: 0.049, memory: 56924, decode.loss_ce: 0.2016, decode.acc_seg: 74.1985, aux.loss_ce: 0.0975, aux.acc_seg: 73.1245, loss: 0.2991 +2022-06-19 10:30:34,474 - mmseg - INFO - Iter [121300/160000] lr: 7.450e-06, eta: 2:58:04, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1954, decode.acc_seg: 75.2413, aux.loss_ce: 0.0938, aux.acc_seg: 74.2681, loss: 0.2892 +2022-06-19 10:30:48,022 - mmseg - INFO - Iter [121350/160000] lr: 7.440e-06, eta: 2:57:50, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2048, decode.acc_seg: 74.9198, aux.loss_ce: 0.0987, aux.acc_seg: 73.7960, loss: 0.3035 +2022-06-19 10:31:01,640 - mmseg - INFO - Iter [121400/160000] lr: 7.431e-06, eta: 2:57:36, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1851, decode.acc_seg: 75.2939, aux.loss_ce: 0.0907, aux.acc_seg: 74.2074, loss: 0.2759 +2022-06-19 10:31:15,431 - mmseg - INFO - Iter [121450/160000] lr: 7.421e-06, eta: 2:57:23, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2121, decode.acc_seg: 74.6405, aux.loss_ce: 0.1008, aux.acc_seg: 73.6099, loss: 0.3129 +2022-06-19 10:31:28,886 - mmseg - INFO - Iter [121500/160000] lr: 7.412e-06, eta: 2:57:09, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2131, decode.acc_seg: 74.1359, aux.loss_ce: 0.1032, aux.acc_seg: 72.9102, loss: 0.3163 +2022-06-19 10:31:42,324 - mmseg - INFO - Iter [121550/160000] lr: 7.402e-06, eta: 2:56:55, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2193, decode.acc_seg: 74.7844, aux.loss_ce: 0.1033, aux.acc_seg: 73.7135, loss: 0.3226 +2022-06-19 10:31:56,092 - mmseg - INFO - Iter [121600/160000] lr: 7.392e-06, eta: 2:56:41, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2072, decode.acc_seg: 75.0346, aux.loss_ce: 0.0996, aux.acc_seg: 73.9340, loss: 0.3068 +2022-06-19 10:32:09,511 - mmseg - INFO - Iter [121650/160000] lr: 7.383e-06, eta: 2:56:27, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2016, decode.acc_seg: 74.5691, aux.loss_ce: 0.0960, aux.acc_seg: 73.5272, loss: 0.2976 +2022-06-19 10:32:22,951 - mmseg - INFO - Iter [121700/160000] lr: 7.373e-06, eta: 2:56:13, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2065, decode.acc_seg: 74.5522, aux.loss_ce: 0.0992, aux.acc_seg: 73.3662, loss: 0.3057 +2022-06-19 10:32:36,239 - mmseg - INFO - Iter [121750/160000] lr: 7.363e-06, eta: 2:55:59, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2037, decode.acc_seg: 74.1881, aux.loss_ce: 0.0966, aux.acc_seg: 73.2946, loss: 0.3002 +2022-06-19 10:32:49,721 - mmseg - INFO - Iter [121800/160000] lr: 7.354e-06, eta: 2:55:45, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2008, decode.acc_seg: 72.4012, aux.loss_ce: 0.0964, aux.acc_seg: 71.3168, loss: 0.2972 +2022-06-19 10:33:03,175 - mmseg - INFO - Iter [121850/160000] lr: 7.344e-06, eta: 2:55:31, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2048, decode.acc_seg: 72.7577, aux.loss_ce: 0.0990, aux.acc_seg: 71.6756, loss: 0.3038 +2022-06-19 10:33:16,696 - mmseg - INFO - Iter [121900/160000] lr: 7.335e-06, eta: 2:55:17, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1973, decode.acc_seg: 73.9609, aux.loss_ce: 0.0948, aux.acc_seg: 72.9473, loss: 0.2921 +2022-06-19 10:33:30,017 - mmseg - INFO - Iter [121950/160000] lr: 7.325e-06, eta: 2:55:03, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1971, decode.acc_seg: 74.2383, aux.loss_ce: 0.0967, aux.acc_seg: 72.9600, loss: 0.2938 +2022-06-19 10:33:43,280 - mmseg - INFO - Saving checkpoint at 122000 iterations +2022-06-19 10:33:46,229 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 10:33:46,229 - mmseg - INFO - Iter [122000/160000] lr: 7.315e-06, eta: 2:54:50, time: 0.325, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2086, decode.acc_seg: 74.9094, aux.loss_ce: 0.1009, aux.acc_seg: 73.7464, loss: 0.3095 +2022-06-19 10:33:59,679 - mmseg - INFO - Iter [122050/160000] lr: 7.306e-06, eta: 2:54:37, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2028, decode.acc_seg: 73.0942, aux.loss_ce: 0.0973, aux.acc_seg: 72.0234, loss: 0.3001 +2022-06-19 10:34:12,824 - mmseg - INFO - Iter [122100/160000] lr: 7.296e-06, eta: 2:54:22, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2056, decode.acc_seg: 74.9594, aux.loss_ce: 0.0996, aux.acc_seg: 73.7389, loss: 0.3052 +2022-06-19 10:34:26,405 - mmseg - INFO - Iter [122150/160000] lr: 7.286e-06, eta: 2:54:09, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2197, decode.acc_seg: 74.5049, aux.loss_ce: 0.1070, aux.acc_seg: 73.2405, loss: 0.3268 +2022-06-19 10:34:39,848 - mmseg - INFO - Iter [122200/160000] lr: 7.277e-06, eta: 2:53:55, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2153, decode.acc_seg: 74.3428, aux.loss_ce: 0.1054, aux.acc_seg: 73.0993, loss: 0.3207 +2022-06-19 10:34:53,076 - mmseg - INFO - Iter [122250/160000] lr: 7.267e-06, eta: 2:53:41, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2137, decode.acc_seg: 73.9790, aux.loss_ce: 0.1024, aux.acc_seg: 72.9253, loss: 0.3160 +2022-06-19 10:35:06,775 - mmseg - INFO - Iter [122300/160000] lr: 7.258e-06, eta: 2:53:27, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2032, decode.acc_seg: 73.7194, aux.loss_ce: 0.0971, aux.acc_seg: 72.6397, loss: 0.3003 +2022-06-19 10:35:20,601 - mmseg - INFO - Iter [122350/160000] lr: 7.248e-06, eta: 2:53:13, time: 0.277, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1945, decode.acc_seg: 73.1376, aux.loss_ce: 0.0937, aux.acc_seg: 71.9661, loss: 0.2882 +2022-06-19 10:35:34,067 - mmseg - INFO - Iter [122400/160000] lr: 7.238e-06, eta: 2:52:59, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2113, decode.acc_seg: 73.4445, aux.loss_ce: 0.1002, aux.acc_seg: 72.4532, loss: 0.3115 +2022-06-19 10:35:47,311 - mmseg - INFO - Iter [122450/160000] lr: 7.229e-06, eta: 2:52:45, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2149, decode.acc_seg: 75.1730, aux.loss_ce: 0.1027, aux.acc_seg: 74.1193, loss: 0.3176 +2022-06-19 10:36:00,577 - mmseg - INFO - Iter [122500/160000] lr: 7.219e-06, eta: 2:52:31, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2032, decode.acc_seg: 73.8823, aux.loss_ce: 0.0955, aux.acc_seg: 72.9361, loss: 0.2988 +2022-06-19 10:36:16,446 - mmseg - INFO - Iter [122550/160000] lr: 7.209e-06, eta: 2:52:18, time: 0.317, data_time: 0.050, memory: 56924, decode.loss_ce: 0.2003, decode.acc_seg: 74.2684, aux.loss_ce: 0.0943, aux.acc_seg: 73.3167, loss: 0.2946 +2022-06-19 10:36:29,939 - mmseg - INFO - Iter [122600/160000] lr: 7.200e-06, eta: 2:52:04, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2051, decode.acc_seg: 72.1993, aux.loss_ce: 0.0973, aux.acc_seg: 71.1609, loss: 0.3024 +2022-06-19 10:36:43,438 - mmseg - INFO - Iter [122650/160000] lr: 7.190e-06, eta: 2:51:50, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1937, decode.acc_seg: 73.0953, aux.loss_ce: 0.0939, aux.acc_seg: 72.0640, loss: 0.2876 +2022-06-19 10:36:56,872 - mmseg - INFO - Iter [122700/160000] lr: 7.181e-06, eta: 2:51:36, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2003, decode.acc_seg: 73.7072, aux.loss_ce: 0.0970, aux.acc_seg: 72.6037, loss: 0.2973 +2022-06-19 10:37:10,401 - mmseg - INFO - Iter [122750/160000] lr: 7.171e-06, eta: 2:51:22, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2092, decode.acc_seg: 73.5923, aux.loss_ce: 0.1013, aux.acc_seg: 72.3770, loss: 0.3104 +2022-06-19 10:37:23,932 - mmseg - INFO - Iter [122800/160000] lr: 7.161e-06, eta: 2:51:09, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1920, decode.acc_seg: 73.4753, aux.loss_ce: 0.0927, aux.acc_seg: 72.4018, loss: 0.2847 +2022-06-19 10:37:37,553 - mmseg - INFO - Iter [122850/160000] lr: 7.152e-06, eta: 2:50:55, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2164, decode.acc_seg: 75.1591, aux.loss_ce: 0.1045, aux.acc_seg: 74.0262, loss: 0.3209 +2022-06-19 10:37:51,268 - mmseg - INFO - Iter [122900/160000] lr: 7.142e-06, eta: 2:50:41, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1940, decode.acc_seg: 75.5769, aux.loss_ce: 0.0936, aux.acc_seg: 74.4457, loss: 0.2877 +2022-06-19 10:38:04,925 - mmseg - INFO - Iter [122950/160000] lr: 7.132e-06, eta: 2:50:27, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1861, decode.acc_seg: 74.1023, aux.loss_ce: 0.0892, aux.acc_seg: 73.1324, loss: 0.2753 +2022-06-19 10:38:18,306 - mmseg - INFO - Saving checkpoint at 123000 iterations +2022-06-19 10:38:21,305 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 10:38:21,306 - mmseg - INFO - Iter [123000/160000] lr: 7.123e-06, eta: 2:50:14, time: 0.328, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2032, decode.acc_seg: 73.7056, aux.loss_ce: 0.0985, aux.acc_seg: 72.5127, loss: 0.3017 +2022-06-19 10:38:35,083 - mmseg - INFO - Iter [123050/160000] lr: 7.113e-06, eta: 2:50:00, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1852, decode.acc_seg: 73.2203, aux.loss_ce: 0.0891, aux.acc_seg: 72.2557, loss: 0.2743 +2022-06-19 10:38:48,256 - mmseg - INFO - Iter [123100/160000] lr: 7.104e-06, eta: 2:49:46, time: 0.264, data_time: 0.006, memory: 56924, decode.loss_ce: 0.2141, decode.acc_seg: 74.2648, aux.loss_ce: 0.1027, aux.acc_seg: 73.1597, loss: 0.3168 +2022-06-19 10:39:01,441 - mmseg - INFO - Iter [123150/160000] lr: 7.094e-06, eta: 2:49:32, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2050, decode.acc_seg: 73.9735, aux.loss_ce: 0.0979, aux.acc_seg: 72.8172, loss: 0.3029 +2022-06-19 10:39:14,557 - mmseg - INFO - Iter [123200/160000] lr: 7.084e-06, eta: 2:49:18, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2118, decode.acc_seg: 73.0711, aux.loss_ce: 0.1033, aux.acc_seg: 71.8232, loss: 0.3151 +2022-06-19 10:39:27,950 - mmseg - INFO - Iter [123250/160000] lr: 7.075e-06, eta: 2:49:04, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1915, decode.acc_seg: 73.7211, aux.loss_ce: 0.0931, aux.acc_seg: 72.6693, loss: 0.2846 +2022-06-19 10:39:41,202 - mmseg - INFO - Iter [123300/160000] lr: 7.065e-06, eta: 2:48:50, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2058, decode.acc_seg: 74.4896, aux.loss_ce: 0.0987, aux.acc_seg: 73.3455, loss: 0.3045 +2022-06-19 10:39:54,606 - mmseg - INFO - Iter [123350/160000] lr: 7.055e-06, eta: 2:48:36, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2035, decode.acc_seg: 74.1619, aux.loss_ce: 0.0979, aux.acc_seg: 73.0706, loss: 0.3014 +2022-06-19 10:40:08,097 - mmseg - INFO - Iter [123400/160000] lr: 7.046e-06, eta: 2:48:23, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2351, decode.acc_seg: 73.2444, aux.loss_ce: 0.1124, aux.acc_seg: 72.1475, loss: 0.3475 +2022-06-19 10:40:21,387 - mmseg - INFO - Iter [123450/160000] lr: 7.036e-06, eta: 2:48:09, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2048, decode.acc_seg: 74.5271, aux.loss_ce: 0.0983, aux.acc_seg: 73.5081, loss: 0.3031 +2022-06-19 10:40:34,884 - mmseg - INFO - Iter [123500/160000] lr: 7.027e-06, eta: 2:47:55, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2074, decode.acc_seg: 73.4883, aux.loss_ce: 0.0993, aux.acc_seg: 72.3958, loss: 0.3067 +2022-06-19 10:40:48,295 - mmseg - INFO - Iter [123550/160000] lr: 7.017e-06, eta: 2:47:41, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1958, decode.acc_seg: 75.0003, aux.loss_ce: 0.0938, aux.acc_seg: 73.9161, loss: 0.2896 +2022-06-19 10:41:01,575 - mmseg - INFO - Iter [123600/160000] lr: 7.007e-06, eta: 2:47:27, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1940, decode.acc_seg: 73.0796, aux.loss_ce: 0.0956, aux.acc_seg: 71.7977, loss: 0.2896 +2022-06-19 10:41:14,909 - mmseg - INFO - Iter [123650/160000] lr: 6.998e-06, eta: 2:47:13, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2025, decode.acc_seg: 73.7226, aux.loss_ce: 0.0967, aux.acc_seg: 72.7339, loss: 0.2992 +2022-06-19 10:41:28,319 - mmseg - INFO - Iter [123700/160000] lr: 6.988e-06, eta: 2:46:59, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2077, decode.acc_seg: 73.3093, aux.loss_ce: 0.1015, aux.acc_seg: 72.0818, loss: 0.3091 +2022-06-19 10:41:42,047 - mmseg - INFO - Iter [123750/160000] lr: 6.978e-06, eta: 2:46:45, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1956, decode.acc_seg: 74.8013, aux.loss_ce: 0.0942, aux.acc_seg: 73.7197, loss: 0.2898 +2022-06-19 10:41:58,225 - mmseg - INFO - Iter [123800/160000] lr: 6.969e-06, eta: 2:46:32, time: 0.324, data_time: 0.051, memory: 56924, decode.loss_ce: 0.1999, decode.acc_seg: 74.5875, aux.loss_ce: 0.0956, aux.acc_seg: 73.6551, loss: 0.2956 +2022-06-19 10:42:11,704 - mmseg - INFO - Iter [123850/160000] lr: 6.959e-06, eta: 2:46:18, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1926, decode.acc_seg: 72.9742, aux.loss_ce: 0.0923, aux.acc_seg: 71.9488, loss: 0.2849 +2022-06-19 10:42:25,255 - mmseg - INFO - Iter [123900/160000] lr: 6.950e-06, eta: 2:46:04, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2008, decode.acc_seg: 73.1692, aux.loss_ce: 0.0971, aux.acc_seg: 72.0727, loss: 0.2978 +2022-06-19 10:42:38,713 - mmseg - INFO - Iter [123950/160000] lr: 6.940e-06, eta: 2:45:50, time: 0.269, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2060, decode.acc_seg: 73.3116, aux.loss_ce: 0.1004, aux.acc_seg: 72.1526, loss: 0.3064 +2022-06-19 10:42:52,037 - mmseg - INFO - Saving checkpoint at 124000 iterations +2022-06-19 10:42:55,058 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 10:42:55,059 - mmseg - INFO - Iter [124000/160000] lr: 6.930e-06, eta: 2:45:37, time: 0.327, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1950, decode.acc_seg: 75.0282, aux.loss_ce: 0.0953, aux.acc_seg: 73.8632, loss: 0.2903 +2022-06-19 10:43:08,645 - mmseg - INFO - Iter [124050/160000] lr: 6.921e-06, eta: 2:45:23, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1985, decode.acc_seg: 76.4774, aux.loss_ce: 0.0963, aux.acc_seg: 75.3313, loss: 0.2948 +2022-06-19 10:43:22,434 - mmseg - INFO - Iter [124100/160000] lr: 6.911e-06, eta: 2:45:10, time: 0.276, data_time: 0.010, memory: 56924, decode.loss_ce: 0.1995, decode.acc_seg: 73.8474, aux.loss_ce: 0.0983, aux.acc_seg: 72.5736, loss: 0.2979 +2022-06-19 10:43:35,524 - mmseg - INFO - Iter [124150/160000] lr: 6.901e-06, eta: 2:44:56, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2143, decode.acc_seg: 74.8159, aux.loss_ce: 0.1027, aux.acc_seg: 73.6556, loss: 0.3170 +2022-06-19 10:43:49,167 - mmseg - INFO - Iter [124200/160000] lr: 6.892e-06, eta: 2:44:42, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2086, decode.acc_seg: 74.9113, aux.loss_ce: 0.1010, aux.acc_seg: 73.7802, loss: 0.3096 +2022-06-19 10:44:02,439 - mmseg - INFO - Iter [124250/160000] lr: 6.882e-06, eta: 2:44:28, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2005, decode.acc_seg: 74.1843, aux.loss_ce: 0.0962, aux.acc_seg: 73.1919, loss: 0.2966 +2022-06-19 10:44:15,844 - mmseg - INFO - Iter [124300/160000] lr: 6.873e-06, eta: 2:44:14, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2136, decode.acc_seg: 74.8394, aux.loss_ce: 0.1017, aux.acc_seg: 73.6797, loss: 0.3153 +2022-06-19 10:44:29,398 - mmseg - INFO - Iter [124350/160000] lr: 6.863e-06, eta: 2:44:00, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2095, decode.acc_seg: 72.7046, aux.loss_ce: 0.0978, aux.acc_seg: 71.8147, loss: 0.3074 +2022-06-19 10:44:43,014 - mmseg - INFO - Iter [124400/160000] lr: 6.853e-06, eta: 2:43:46, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1966, decode.acc_seg: 73.6630, aux.loss_ce: 0.0944, aux.acc_seg: 72.5650, loss: 0.2910 +2022-06-19 10:44:56,308 - mmseg - INFO - Iter [124450/160000] lr: 6.844e-06, eta: 2:43:32, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2198, decode.acc_seg: 73.0008, aux.loss_ce: 0.1059, aux.acc_seg: 71.7704, loss: 0.3257 +2022-06-19 10:45:09,690 - mmseg - INFO - Iter [124500/160000] lr: 6.834e-06, eta: 2:43:18, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1983, decode.acc_seg: 74.4853, aux.loss_ce: 0.0963, aux.acc_seg: 73.3504, loss: 0.2946 +2022-06-19 10:45:23,043 - mmseg - INFO - Iter [124550/160000] lr: 6.824e-06, eta: 2:43:04, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1940, decode.acc_seg: 74.8887, aux.loss_ce: 0.0940, aux.acc_seg: 73.7858, loss: 0.2881 +2022-06-19 10:45:36,581 - mmseg - INFO - Iter [124600/160000] lr: 6.815e-06, eta: 2:42:51, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2125, decode.acc_seg: 73.1191, aux.loss_ce: 0.1039, aux.acc_seg: 71.7742, loss: 0.3164 +2022-06-19 10:45:50,062 - mmseg - INFO - Iter [124650/160000] lr: 6.805e-06, eta: 2:42:37, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1944, decode.acc_seg: 73.8047, aux.loss_ce: 0.0930, aux.acc_seg: 72.8634, loss: 0.2874 +2022-06-19 10:46:03,338 - mmseg - INFO - Iter [124700/160000] lr: 6.796e-06, eta: 2:42:23, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2141, decode.acc_seg: 73.4408, aux.loss_ce: 0.1028, aux.acc_seg: 72.3722, loss: 0.3169 +2022-06-19 10:46:16,692 - mmseg - INFO - Iter [124750/160000] lr: 6.786e-06, eta: 2:42:09, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2052, decode.acc_seg: 75.3061, aux.loss_ce: 0.0996, aux.acc_seg: 74.0510, loss: 0.3048 +2022-06-19 10:46:30,163 - mmseg - INFO - Iter [124800/160000] lr: 6.776e-06, eta: 2:41:55, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1999, decode.acc_seg: 74.9502, aux.loss_ce: 0.0951, aux.acc_seg: 73.9856, loss: 0.2950 +2022-06-19 10:46:43,472 - mmseg - INFO - Iter [124850/160000] lr: 6.767e-06, eta: 2:41:41, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2073, decode.acc_seg: 73.7837, aux.loss_ce: 0.1006, aux.acc_seg: 72.6524, loss: 0.3079 +2022-06-19 10:46:57,037 - mmseg - INFO - Iter [124900/160000] lr: 6.757e-06, eta: 2:41:27, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2064, decode.acc_seg: 74.6312, aux.loss_ce: 0.0998, aux.acc_seg: 73.5525, loss: 0.3062 +2022-06-19 10:47:10,569 - mmseg - INFO - Iter [124950/160000] lr: 6.747e-06, eta: 2:41:13, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1979, decode.acc_seg: 72.8194, aux.loss_ce: 0.0939, aux.acc_seg: 71.8687, loss: 0.2918 +2022-06-19 10:47:23,907 - mmseg - INFO - Saving checkpoint at 125000 iterations +2022-06-19 10:47:27,031 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 10:47:27,031 - mmseg - INFO - Iter [125000/160000] lr: 6.738e-06, eta: 2:41:00, time: 0.327, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1945, decode.acc_seg: 74.3891, aux.loss_ce: 0.0944, aux.acc_seg: 73.2901, loss: 0.2889 +2022-06-19 10:47:42,937 - mmseg - INFO - Iter [125050/160000] lr: 6.728e-06, eta: 2:40:47, time: 0.320, data_time: 0.051, memory: 56924, decode.loss_ce: 0.2110, decode.acc_seg: 74.2769, aux.loss_ce: 0.1013, aux.acc_seg: 73.1520, loss: 0.3123 +2022-06-19 10:47:56,268 - mmseg - INFO - Iter [125100/160000] lr: 6.719e-06, eta: 2:40:33, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2116, decode.acc_seg: 74.6987, aux.loss_ce: 0.1022, aux.acc_seg: 73.4007, loss: 0.3138 +2022-06-19 10:48:09,687 - mmseg - INFO - Iter [125150/160000] lr: 6.709e-06, eta: 2:40:19, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2124, decode.acc_seg: 74.1303, aux.loss_ce: 0.1029, aux.acc_seg: 72.9463, loss: 0.3153 +2022-06-19 10:48:23,096 - mmseg - INFO - Iter [125200/160000] lr: 6.699e-06, eta: 2:40:05, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2075, decode.acc_seg: 74.6409, aux.loss_ce: 0.0994, aux.acc_seg: 73.6021, loss: 0.3070 +2022-06-19 10:48:36,575 - mmseg - INFO - Iter [125250/160000] lr: 6.690e-06, eta: 2:39:51, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1926, decode.acc_seg: 75.4910, aux.loss_ce: 0.0933, aux.acc_seg: 74.3507, loss: 0.2859 +2022-06-19 10:48:49,940 - mmseg - INFO - Iter [125300/160000] lr: 6.680e-06, eta: 2:39:37, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2088, decode.acc_seg: 74.9913, aux.loss_ce: 0.0997, aux.acc_seg: 73.9038, loss: 0.3085 +2022-06-19 10:49:03,490 - mmseg - INFO - Iter [125350/160000] lr: 6.670e-06, eta: 2:39:23, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1799, decode.acc_seg: 72.0184, aux.loss_ce: 0.0867, aux.acc_seg: 71.0719, loss: 0.2667 +2022-06-19 10:49:17,072 - mmseg - INFO - Iter [125400/160000] lr: 6.661e-06, eta: 2:39:10, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1943, decode.acc_seg: 76.3772, aux.loss_ce: 0.0931, aux.acc_seg: 75.2588, loss: 0.2874 +2022-06-19 10:49:30,288 - mmseg - INFO - Iter [125450/160000] lr: 6.651e-06, eta: 2:38:56, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1974, decode.acc_seg: 75.7235, aux.loss_ce: 0.0957, aux.acc_seg: 74.4956, loss: 0.2930 +2022-06-19 10:49:43,514 - mmseg - INFO - Iter [125500/160000] lr: 6.642e-06, eta: 2:38:42, time: 0.265, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2070, decode.acc_seg: 72.5202, aux.loss_ce: 0.1001, aux.acc_seg: 71.4187, loss: 0.3072 +2022-06-19 10:49:56,800 - mmseg - INFO - Iter [125550/160000] lr: 6.632e-06, eta: 2:38:28, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2071, decode.acc_seg: 74.9198, aux.loss_ce: 0.1006, aux.acc_seg: 73.6787, loss: 0.3077 +2022-06-19 10:50:10,153 - mmseg - INFO - Iter [125600/160000] lr: 6.622e-06, eta: 2:38:14, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2065, decode.acc_seg: 74.0152, aux.loss_ce: 0.0999, aux.acc_seg: 72.8685, loss: 0.3064 +2022-06-19 10:50:23,658 - mmseg - INFO - Iter [125650/160000] lr: 6.613e-06, eta: 2:38:00, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2059, decode.acc_seg: 73.7054, aux.loss_ce: 0.0992, aux.acc_seg: 72.6256, loss: 0.3051 +2022-06-19 10:50:37,214 - mmseg - INFO - Iter [125700/160000] lr: 6.603e-06, eta: 2:37:46, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1993, decode.acc_seg: 74.3563, aux.loss_ce: 0.0956, aux.acc_seg: 73.2392, loss: 0.2949 +2022-06-19 10:50:50,638 - mmseg - INFO - Iter [125750/160000] lr: 6.593e-06, eta: 2:37:32, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2051, decode.acc_seg: 74.4696, aux.loss_ce: 0.1002, aux.acc_seg: 73.1597, loss: 0.3053 +2022-06-19 10:51:04,222 - mmseg - INFO - Iter [125800/160000] lr: 6.584e-06, eta: 2:37:18, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1973, decode.acc_seg: 74.3993, aux.loss_ce: 0.0962, aux.acc_seg: 73.2880, loss: 0.2935 +2022-06-19 10:51:17,926 - mmseg - INFO - Iter [125850/160000] lr: 6.574e-06, eta: 2:37:04, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2122, decode.acc_seg: 74.0704, aux.loss_ce: 0.1028, aux.acc_seg: 72.9739, loss: 0.3150 +2022-06-19 10:51:31,187 - mmseg - INFO - Iter [125900/160000] lr: 6.565e-06, eta: 2:36:51, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2291, decode.acc_seg: 73.1145, aux.loss_ce: 0.1090, aux.acc_seg: 71.9701, loss: 0.3381 +2022-06-19 10:51:44,772 - mmseg - INFO - Iter [125950/160000] lr: 6.555e-06, eta: 2:36:37, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2032, decode.acc_seg: 74.7227, aux.loss_ce: 0.0974, aux.acc_seg: 73.6076, loss: 0.3006 +2022-06-19 10:51:58,289 - mmseg - INFO - Saving checkpoint at 126000 iterations +2022-06-19 10:52:01,213 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 10:52:01,214 - mmseg - INFO - Iter [126000/160000] lr: 6.545e-06, eta: 2:36:24, time: 0.329, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2088, decode.acc_seg: 74.2987, aux.loss_ce: 0.1014, aux.acc_seg: 73.1424, loss: 0.3101 +2022-06-19 10:52:14,596 - mmseg - INFO - Iter [126050/160000] lr: 6.536e-06, eta: 2:36:10, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1968, decode.acc_seg: 74.5331, aux.loss_ce: 0.0945, aux.acc_seg: 73.4256, loss: 0.2913 +2022-06-19 10:52:28,058 - mmseg - INFO - Iter [126100/160000] lr: 6.526e-06, eta: 2:35:56, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1911, decode.acc_seg: 74.0398, aux.loss_ce: 0.0928, aux.acc_seg: 72.9389, loss: 0.2838 +2022-06-19 10:52:41,693 - mmseg - INFO - Iter [126150/160000] lr: 6.516e-06, eta: 2:35:42, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1982, decode.acc_seg: 73.3248, aux.loss_ce: 0.0949, aux.acc_seg: 72.2660, loss: 0.2931 +2022-06-19 10:52:54,926 - mmseg - INFO - Iter [126200/160000] lr: 6.507e-06, eta: 2:35:28, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2098, decode.acc_seg: 73.0996, aux.loss_ce: 0.0999, aux.acc_seg: 72.0212, loss: 0.3097 +2022-06-19 10:53:08,358 - mmseg - INFO - Iter [126250/160000] lr: 6.497e-06, eta: 2:35:14, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2075, decode.acc_seg: 73.7948, aux.loss_ce: 0.0985, aux.acc_seg: 72.7635, loss: 0.3060 +2022-06-19 10:53:21,576 - mmseg - INFO - Iter [126300/160000] lr: 6.488e-06, eta: 2:35:00, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2041, decode.acc_seg: 72.5104, aux.loss_ce: 0.0993, aux.acc_seg: 71.3666, loss: 0.3034 +2022-06-19 10:53:37,720 - mmseg - INFO - Iter [126350/160000] lr: 6.478e-06, eta: 2:34:47, time: 0.323, data_time: 0.050, memory: 56924, decode.loss_ce: 0.1976, decode.acc_seg: 73.1023, aux.loss_ce: 0.0955, aux.acc_seg: 71.9568, loss: 0.2931 +2022-06-19 10:53:51,197 - mmseg - INFO - Iter [126400/160000] lr: 6.468e-06, eta: 2:34:33, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1873, decode.acc_seg: 73.8888, aux.loss_ce: 0.0919, aux.acc_seg: 72.7785, loss: 0.2792 +2022-06-19 10:54:04,653 - mmseg - INFO - Iter [126450/160000] lr: 6.459e-06, eta: 2:34:19, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1931, decode.acc_seg: 74.7608, aux.loss_ce: 0.0944, aux.acc_seg: 73.5709, loss: 0.2875 +2022-06-19 10:54:18,139 - mmseg - INFO - Iter [126500/160000] lr: 6.449e-06, eta: 2:34:05, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2050, decode.acc_seg: 75.4176, aux.loss_ce: 0.1012, aux.acc_seg: 74.2526, loss: 0.3062 +2022-06-19 10:54:31,451 - mmseg - INFO - Iter [126550/160000] lr: 6.439e-06, eta: 2:33:51, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2047, decode.acc_seg: 74.2179, aux.loss_ce: 0.0990, aux.acc_seg: 73.1254, loss: 0.3037 +2022-06-19 10:54:44,843 - mmseg - INFO - Iter [126600/160000] lr: 6.430e-06, eta: 2:33:37, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2034, decode.acc_seg: 76.2541, aux.loss_ce: 0.0983, aux.acc_seg: 75.2063, loss: 0.3016 +2022-06-19 10:54:58,351 - mmseg - INFO - Iter [126650/160000] lr: 6.420e-06, eta: 2:33:24, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2094, decode.acc_seg: 74.4363, aux.loss_ce: 0.1012, aux.acc_seg: 73.2188, loss: 0.3106 +2022-06-19 10:55:11,751 - mmseg - INFO - Iter [126700/160000] lr: 6.411e-06, eta: 2:33:10, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2038, decode.acc_seg: 74.2690, aux.loss_ce: 0.0990, aux.acc_seg: 73.1696, loss: 0.3027 +2022-06-19 10:55:25,310 - mmseg - INFO - Iter [126750/160000] lr: 6.401e-06, eta: 2:32:56, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2164, decode.acc_seg: 74.4672, aux.loss_ce: 0.1031, aux.acc_seg: 73.3828, loss: 0.3195 +2022-06-19 10:55:38,681 - mmseg - INFO - Iter [126800/160000] lr: 6.391e-06, eta: 2:32:42, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1956, decode.acc_seg: 74.1393, aux.loss_ce: 0.0942, aux.acc_seg: 73.0422, loss: 0.2898 +2022-06-19 10:55:52,013 - mmseg - INFO - Iter [126850/160000] lr: 6.382e-06, eta: 2:32:28, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1978, decode.acc_seg: 72.9880, aux.loss_ce: 0.0940, aux.acc_seg: 72.1000, loss: 0.2918 +2022-06-19 10:56:05,593 - mmseg - INFO - Iter [126900/160000] lr: 6.372e-06, eta: 2:32:14, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1973, decode.acc_seg: 74.0090, aux.loss_ce: 0.0970, aux.acc_seg: 72.8100, loss: 0.2944 +2022-06-19 10:56:19,012 - mmseg - INFO - Iter [126950/160000] lr: 6.362e-06, eta: 2:32:00, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2186, decode.acc_seg: 72.1947, aux.loss_ce: 0.1059, aux.acc_seg: 70.9923, loss: 0.3245 +2022-06-19 10:56:32,330 - mmseg - INFO - Saving checkpoint at 127000 iterations +2022-06-19 10:56:35,349 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 10:56:35,350 - mmseg - INFO - Iter [127000/160000] lr: 6.353e-06, eta: 2:31:47, time: 0.327, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2065, decode.acc_seg: 73.9911, aux.loss_ce: 0.1004, aux.acc_seg: 72.8101, loss: 0.3069 +2022-06-19 10:56:48,668 - mmseg - INFO - Iter [127050/160000] lr: 6.343e-06, eta: 2:31:33, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2069, decode.acc_seg: 74.6375, aux.loss_ce: 0.1005, aux.acc_seg: 73.4351, loss: 0.3074 +2022-06-19 10:57:01,809 - mmseg - INFO - Iter [127100/160000] lr: 6.334e-06, eta: 2:31:19, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1931, decode.acc_seg: 75.4785, aux.loss_ce: 0.0950, aux.acc_seg: 74.1993, loss: 0.2881 +2022-06-19 10:57:15,177 - mmseg - INFO - Iter [127150/160000] lr: 6.324e-06, eta: 2:31:05, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2059, decode.acc_seg: 73.6757, aux.loss_ce: 0.0993, aux.acc_seg: 72.6082, loss: 0.3052 +2022-06-19 10:57:28,813 - mmseg - INFO - Iter [127200/160000] lr: 6.314e-06, eta: 2:30:51, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1856, decode.acc_seg: 74.7426, aux.loss_ce: 0.0897, aux.acc_seg: 73.6154, loss: 0.2752 +2022-06-19 10:57:42,252 - mmseg - INFO - Iter [127250/160000] lr: 6.305e-06, eta: 2:30:38, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2034, decode.acc_seg: 73.5170, aux.loss_ce: 0.0969, aux.acc_seg: 72.5035, loss: 0.3002 +2022-06-19 10:57:55,801 - mmseg - INFO - Iter [127300/160000] lr: 6.295e-06, eta: 2:30:24, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2082, decode.acc_seg: 72.9756, aux.loss_ce: 0.1003, aux.acc_seg: 71.9137, loss: 0.3085 +2022-06-19 10:58:09,324 - mmseg - INFO - Iter [127350/160000] lr: 6.285e-06, eta: 2:30:10, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1862, decode.acc_seg: 73.6615, aux.loss_ce: 0.0904, aux.acc_seg: 72.5772, loss: 0.2766 +2022-06-19 10:58:22,605 - mmseg - INFO - Iter [127400/160000] lr: 6.276e-06, eta: 2:29:56, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1842, decode.acc_seg: 74.0356, aux.loss_ce: 0.0888, aux.acc_seg: 73.1177, loss: 0.2730 +2022-06-19 10:58:36,190 - mmseg - INFO - Iter [127450/160000] lr: 6.266e-06, eta: 2:29:42, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2042, decode.acc_seg: 73.4276, aux.loss_ce: 0.0979, aux.acc_seg: 72.3375, loss: 0.3021 +2022-06-19 10:58:49,784 - mmseg - INFO - Iter [127500/160000] lr: 6.257e-06, eta: 2:29:28, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2037, decode.acc_seg: 74.5986, aux.loss_ce: 0.0982, aux.acc_seg: 73.4912, loss: 0.3020 +2022-06-19 10:59:03,199 - mmseg - INFO - Iter [127550/160000] lr: 6.247e-06, eta: 2:29:14, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1980, decode.acc_seg: 75.4651, aux.loss_ce: 0.0963, aux.acc_seg: 74.1944, loss: 0.2943 +2022-06-19 10:59:19,269 - mmseg - INFO - Iter [127600/160000] lr: 6.237e-06, eta: 2:29:01, time: 0.321, data_time: 0.050, memory: 56924, decode.loss_ce: 0.2019, decode.acc_seg: 74.9015, aux.loss_ce: 0.0995, aux.acc_seg: 73.6036, loss: 0.3015 +2022-06-19 10:59:32,436 - mmseg - INFO - Iter [127650/160000] lr: 6.228e-06, eta: 2:28:47, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1938, decode.acc_seg: 74.8027, aux.loss_ce: 0.0942, aux.acc_seg: 73.6401, loss: 0.2881 +2022-06-19 10:59:46,011 - mmseg - INFO - Iter [127700/160000] lr: 6.218e-06, eta: 2:28:33, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2005, decode.acc_seg: 73.5193, aux.loss_ce: 0.0962, aux.acc_seg: 72.3117, loss: 0.2967 +2022-06-19 10:59:59,318 - mmseg - INFO - Iter [127750/160000] lr: 6.208e-06, eta: 2:28:19, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2100, decode.acc_seg: 74.8277, aux.loss_ce: 0.1002, aux.acc_seg: 73.7564, loss: 0.3102 +2022-06-19 11:00:12,830 - mmseg - INFO - Iter [127800/160000] lr: 6.199e-06, eta: 2:28:05, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1852, decode.acc_seg: 74.0082, aux.loss_ce: 0.0890, aux.acc_seg: 73.0240, loss: 0.2742 +2022-06-19 11:00:26,284 - mmseg - INFO - Iter [127850/160000] lr: 6.189e-06, eta: 2:27:52, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2035, decode.acc_seg: 74.9381, aux.loss_ce: 0.0990, aux.acc_seg: 73.8311, loss: 0.3025 +2022-06-19 11:00:39,743 - mmseg - INFO - Iter [127900/160000] lr: 6.180e-06, eta: 2:27:38, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2110, decode.acc_seg: 74.9768, aux.loss_ce: 0.1017, aux.acc_seg: 73.8375, loss: 0.3126 +2022-06-19 11:00:53,122 - mmseg - INFO - Iter [127950/160000] lr: 6.170e-06, eta: 2:27:24, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1965, decode.acc_seg: 74.4223, aux.loss_ce: 0.0934, aux.acc_seg: 73.4901, loss: 0.2899 +2022-06-19 11:01:06,484 - mmseg - INFO - Saving checkpoint at 128000 iterations +2022-06-19 11:01:09,464 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 11:01:09,464 - mmseg - INFO - Iter [128000/160000] lr: 6.160e-06, eta: 2:27:11, time: 0.327, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1998, decode.acc_seg: 72.6292, aux.loss_ce: 0.0978, aux.acc_seg: 71.3920, loss: 0.2976 +2022-06-19 11:01:31,216 - mmseg - INFO - per class results: +2022-06-19 11:01:31,227 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 77.36 | 88.42 | +| building | 82.82 | 93.17 | +| sky | 94.3 | 97.37 | +| floor | 81.88 | 90.48 | +| tree | 73.66 | 87.45 | +| ceiling | 83.88 | 93.77 | +| road | 83.57 | 90.34 | +| bed | 86.27 | 95.09 | +| windowpane | 61.63 | 78.67 | +| grass | 67.47 | 81.54 | +| cabinet | 60.01 | 70.43 | +| sidewalk | 66.01 | 83.72 | +| person | 80.24 | 92.9 | +| earth | 34.08 | 47.35 | +| door | 47.67 | 60.41 | +| table | 59.16 | 75.3 | +| mountain | 56.02 | 66.42 | +| plant | 53.39 | 65.14 | +| curtain | 74.18 | 85.29 | +| chair | 55.54 | 67.32 | +| car | 83.45 | 92.17 | +| water | 56.96 | 72.22 | +| painting | 72.8 | 88.98 | +| sofa | 66.19 | 82.39 | +| shelf | 44.53 | 61.3 | +| house | 46.46 | 60.25 | +| sea | 60.06 | 80.06 | +| mirror | 66.17 | 73.31 | +| rug | 64.79 | 75.0 | +| field | 27.72 | 44.99 | +| armchair | 40.98 | 60.03 | +| seat | 62.33 | 83.45 | +| fence | 41.97 | 53.61 | +| desk | 48.14 | 73.51 | +| rock | 44.01 | 72.95 | +| wardrobe | 50.22 | 63.56 | +| lamp | 62.11 | 73.8 | +| bathtub | 77.48 | 83.19 | +| railing | 34.41 | 47.4 | +| cushion | 59.33 | 71.2 | +| base | 33.94 | 47.32 | +| box | 27.32 | 36.1 | +| column | 46.85 | 58.48 | +| signboard | 36.98 | 51.34 | +| chest of drawers | 42.57 | 63.11 | +| counter | 19.63 | 26.11 | +| sand | 49.38 | 75.06 | +| sink | 70.91 | 79.32 | +| skyscraper | 56.98 | 66.12 | +| fireplace | 77.73 | 92.25 | +| refrigerator | 74.11 | 83.34 | +| grandstand | 44.57 | 66.41 | +| path | 16.57 | 22.6 | +| stairs | 26.76 | 34.29 | +| runway | 67.66 | 91.15 | +| case | 44.87 | 56.77 | +| pool table | 91.85 | 96.18 | +| pillow | 57.41 | 69.56 | +| screen door | 57.59 | 65.15 | +| stairway | 31.53 | 46.65 | +| river | 13.48 | 26.3 | +| bridge | 65.7 | 72.48 | +| bookcase | 43.27 | 65.25 | +| blind | 32.51 | 36.36 | +| coffee table | 60.02 | 80.71 | +| toilet | 85.18 | 90.98 | +| flower | 40.64 | 50.59 | +| book | 47.15 | 65.73 | +| hill | 10.29 | 18.66 | +| bench | 45.04 | 53.94 | +| countertop | 55.37 | 72.68 | +| stove | 68.29 | 78.45 | +| palm | 51.35 | 70.84 | +| kitchen island | 37.07 | 69.52 | +| computer | 64.95 | 76.18 | +| swivel chair | 42.5 | 56.68 | +| boat | 43.91 | 51.97 | +| bar | 19.76 | 26.52 | +| arcade machine | 57.15 | 61.69 | +| hovel | 30.25 | 33.42 | +| bus | 87.93 | 96.49 | +| towel | 61.17 | 80.17 | +| light | 53.52 | 60.89 | +| truck | 25.8 | 36.73 | +| tower | 35.86 | 52.18 | +| chandelier | 67.82 | 81.6 | +| awning | 21.59 | 26.01 | +| streetlight | 24.15 | 30.32 | +| booth | 38.27 | 41.65 | +| television receiver | 68.11 | 80.7 | +| airplane | 53.27 | 64.56 | +| dirt track | 6.4 | 16.35 | +| apparel | 32.14 | 41.38 | +| pole | 24.66 | 35.72 | +| land | 1.81 | 3.16 | +| bannister | 14.43 | 23.22 | +| escalator | 45.63 | 68.95 | +| ottoman | 44.54 | 61.36 | +| bottle | 36.32 | 60.21 | +| buffet | 36.26 | 44.25 | +| poster | 24.3 | 28.0 | +| stage | 19.61 | 27.61 | +| van | 39.7 | 51.68 | +| ship | 54.35 | 78.17 | +| fountain | 24.98 | 26.24 | +| conveyer belt | 68.62 | 91.47 | +| canopy | 24.19 | 27.6 | +| washer | 71.65 | 72.38 | +| plaything | 23.74 | 35.95 | +| swimming pool | 75.24 | 83.82 | +| stool | 39.38 | 57.14 | +| barrel | 52.2 | 61.5 | +| basket | 33.0 | 46.74 | +| waterfall | 50.93 | 67.65 | +| tent | 96.08 | 97.66 | +| bag | 8.81 | 11.09 | +| minibike | 66.13 | 76.43 | +| cradle | 67.07 | 83.33 | +| oven | 32.19 | 73.28 | +| ball | 41.89 | 50.95 | +| food | 47.63 | 54.27 | +| step | 11.72 | 14.84 | +| tank | 50.64 | 53.43 | +| trade name | 28.0 | 31.59 | +| microwave | 57.64 | 61.42 | +| pot | 44.37 | 52.28 | +| animal | 55.76 | 58.31 | +| bicycle | 52.72 | 80.87 | +| lake | 58.89 | 64.98 | +| dishwasher | 65.21 | 74.37 | +| screen | 57.39 | 75.67 | +| blanket | 13.7 | 15.83 | +| sculpture | 59.16 | 82.91 | +| hood | 61.02 | 65.74 | +| sconce | 47.52 | 59.34 | +| vase | 38.46 | 56.59 | +| traffic light | 34.94 | 58.72 | +| tray | 6.22 | 8.89 | +| ashcan | 41.89 | 57.83 | +| fan | 59.83 | 74.45 | +| pier | 48.96 | 80.74 | +| crt screen | 3.06 | 11.8 | +| plate | 53.06 | 71.77 | +| monitor | 3.52 | 3.92 | +| bulletin board | 21.05 | 25.08 | +| shower | 0.27 | 2.0 | +| radiator | 57.12 | 62.93 | +| glass | 12.13 | 13.46 | +| clock | 28.13 | 36.16 | +| flag | 40.07 | 44.43 | ++---------------------+-------+-------+ +2022-06-19 11:01:31,227 - mmseg - INFO - Summary: +2022-06-19 11:01:31,228 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.87 | 48.21 | 60.13 | ++-------+-------+-------+ +2022-06-19 11:01:31,231 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_deit_adapter_base_512_160k_ade20k/best_mIoU_iter_112000.pth was removed +2022-06-19 11:01:33,987 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_128000.pth. +2022-06-19 11:01:33,987 - mmseg - INFO - Best mIoU is 0.4821 at 128000 iter. +2022-06-19 11:01:33,996 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 11:01:33,996 - mmseg - INFO - Iter(val) [250] aAcc: 0.8287, mIoU: 0.4821, mAcc: 0.6013, IoU.wall: 0.7736, IoU.building: 0.8282, IoU.sky: 0.9430, IoU.floor: 0.8188, IoU.tree: 0.7366, IoU.ceiling: 0.8388, IoU.road: 0.8357, IoU.bed : 0.8627, IoU.windowpane: 0.6163, IoU.grass: 0.6747, IoU.cabinet: 0.6001, IoU.sidewalk: 0.6601, IoU.person: 0.8024, IoU.earth: 0.3408, IoU.door: 0.4767, IoU.table: 0.5916, IoU.mountain: 0.5602, IoU.plant: 0.5339, IoU.curtain: 0.7418, IoU.chair: 0.5554, IoU.car: 0.8345, IoU.water: 0.5696, IoU.painting: 0.7280, IoU.sofa: 0.6619, IoU.shelf: 0.4453, IoU.house: 0.4646, IoU.sea: 0.6006, IoU.mirror: 0.6617, IoU.rug: 0.6479, IoU.field: 0.2772, IoU.armchair: 0.4098, IoU.seat: 0.6233, IoU.fence: 0.4197, IoU.desk: 0.4814, IoU.rock: 0.4401, IoU.wardrobe: 0.5022, IoU.lamp: 0.6211, IoU.bathtub: 0.7748, IoU.railing: 0.3441, IoU.cushion: 0.5933, IoU.base: 0.3394, IoU.box: 0.2732, IoU.column: 0.4685, IoU.signboard: 0.3698, IoU.chest of drawers: 0.4257, IoU.counter: 0.1963, IoU.sand: 0.4938, IoU.sink: 0.7091, IoU.skyscraper: 0.5698, IoU.fireplace: 0.7773, IoU.refrigerator: 0.7411, IoU.grandstand: 0.4457, IoU.path: 0.1657, IoU.stairs: 0.2676, IoU.runway: 0.6766, IoU.case: 0.4487, IoU.pool table: 0.9185, IoU.pillow: 0.5741, IoU.screen door: 0.5759, IoU.stairway: 0.3153, IoU.river: 0.1348, IoU.bridge: 0.6570, IoU.bookcase: 0.4327, IoU.blind: 0.3251, IoU.coffee table: 0.6002, IoU.toilet: 0.8518, IoU.flower: 0.4064, IoU.book: 0.4715, IoU.hill: 0.1029, IoU.bench: 0.4504, IoU.countertop: 0.5537, IoU.stove: 0.6829, IoU.palm: 0.5135, IoU.kitchen island: 0.3707, IoU.computer: 0.6495, IoU.swivel chair: 0.4250, IoU.boat: 0.4391, IoU.bar: 0.1976, IoU.arcade machine: 0.5715, IoU.hovel: 0.3025, IoU.bus: 0.8793, IoU.towel: 0.6117, IoU.light: 0.5352, IoU.truck: 0.2580, IoU.tower: 0.3586, IoU.chandelier: 0.6782, IoU.awning: 0.2159, IoU.streetlight: 0.2415, IoU.booth: 0.3827, IoU.television receiver: 0.6811, IoU.airplane: 0.5327, IoU.dirt track: 0.0640, IoU.apparel: 0.3214, IoU.pole: 0.2466, IoU.land: 0.0181, IoU.bannister: 0.1443, IoU.escalator: 0.4563, IoU.ottoman: 0.4454, IoU.bottle: 0.3632, IoU.buffet: 0.3626, IoU.poster: 0.2430, IoU.stage: 0.1961, IoU.van: 0.3970, IoU.ship: 0.5435, IoU.fountain: 0.2498, IoU.conveyer belt: 0.6862, IoU.canopy: 0.2419, IoU.washer: 0.7165, IoU.plaything: 0.2374, IoU.swimming pool: 0.7524, IoU.stool: 0.3938, IoU.barrel: 0.5220, IoU.basket: 0.3300, IoU.waterfall: 0.5093, IoU.tent: 0.9608, IoU.bag: 0.0881, IoU.minibike: 0.6613, IoU.cradle: 0.6707, IoU.oven: 0.3219, IoU.ball: 0.4189, IoU.food: 0.4763, IoU.step: 0.1172, IoU.tank: 0.5064, IoU.trade name: 0.2800, IoU.microwave: 0.5764, IoU.pot: 0.4437, IoU.animal: 0.5576, IoU.bicycle: 0.5272, IoU.lake: 0.5889, IoU.dishwasher: 0.6521, IoU.screen: 0.5739, IoU.blanket: 0.1370, IoU.sculpture: 0.5916, IoU.hood: 0.6102, IoU.sconce: 0.4752, IoU.vase: 0.3846, IoU.traffic light: 0.3494, IoU.tray: 0.0622, IoU.ashcan: 0.4189, IoU.fan: 0.5983, IoU.pier: 0.4896, IoU.crt screen: 0.0306, IoU.plate: 0.5306, IoU.monitor: 0.0352, IoU.bulletin board: 0.2105, IoU.shower: 0.0027, IoU.radiator: 0.5712, IoU.glass: 0.1213, IoU.clock: 0.2813, IoU.flag: 0.4007, Acc.wall: 0.8842, Acc.building: 0.9317, Acc.sky: 0.9737, Acc.floor: 0.9048, Acc.tree: 0.8745, Acc.ceiling: 0.9377, Acc.road: 0.9034, Acc.bed : 0.9509, Acc.windowpane: 0.7867, Acc.grass: 0.8154, Acc.cabinet: 0.7043, Acc.sidewalk: 0.8372, Acc.person: 0.9290, Acc.earth: 0.4735, Acc.door: 0.6041, Acc.table: 0.7530, Acc.mountain: 0.6642, Acc.plant: 0.6514, Acc.curtain: 0.8529, Acc.chair: 0.6732, Acc.car: 0.9217, Acc.water: 0.7222, Acc.painting: 0.8898, Acc.sofa: 0.8239, Acc.shelf: 0.6130, Acc.house: 0.6025, Acc.sea: 0.8006, Acc.mirror: 0.7331, Acc.rug: 0.7500, Acc.field: 0.4499, Acc.armchair: 0.6003, Acc.seat: 0.8345, Acc.fence: 0.5361, Acc.desk: 0.7351, Acc.rock: 0.7295, Acc.wardrobe: 0.6356, Acc.lamp: 0.7380, Acc.bathtub: 0.8319, Acc.railing: 0.4740, Acc.cushion: 0.7120, Acc.base: 0.4732, Acc.box: 0.3610, Acc.column: 0.5848, Acc.signboard: 0.5134, Acc.chest of drawers: 0.6311, Acc.counter: 0.2611, Acc.sand: 0.7506, Acc.sink: 0.7932, Acc.skyscraper: 0.6612, Acc.fireplace: 0.9225, Acc.refrigerator: 0.8334, Acc.grandstand: 0.6641, Acc.path: 0.2260, Acc.stairs: 0.3429, Acc.runway: 0.9115, Acc.case: 0.5677, Acc.pool table: 0.9618, Acc.pillow: 0.6956, Acc.screen door: 0.6515, Acc.stairway: 0.4665, Acc.river: 0.2630, Acc.bridge: 0.7248, Acc.bookcase: 0.6525, Acc.blind: 0.3636, Acc.coffee table: 0.8071, Acc.toilet: 0.9098, Acc.flower: 0.5059, Acc.book: 0.6573, Acc.hill: 0.1866, Acc.bench: 0.5394, Acc.countertop: 0.7268, Acc.stove: 0.7845, Acc.palm: 0.7084, Acc.kitchen island: 0.6952, Acc.computer: 0.7618, Acc.swivel chair: 0.5668, Acc.boat: 0.5197, Acc.bar: 0.2652, Acc.arcade machine: 0.6169, Acc.hovel: 0.3342, Acc.bus: 0.9649, Acc.towel: 0.8017, Acc.light: 0.6089, Acc.truck: 0.3673, Acc.tower: 0.5218, Acc.chandelier: 0.8160, Acc.awning: 0.2601, Acc.streetlight: 0.3032, Acc.booth: 0.4165, Acc.television receiver: 0.8070, Acc.airplane: 0.6456, Acc.dirt track: 0.1635, Acc.apparel: 0.4138, Acc.pole: 0.3572, Acc.land: 0.0316, Acc.bannister: 0.2322, Acc.escalator: 0.6895, Acc.ottoman: 0.6136, Acc.bottle: 0.6021, Acc.buffet: 0.4425, Acc.poster: 0.2800, Acc.stage: 0.2761, Acc.van: 0.5168, Acc.ship: 0.7817, Acc.fountain: 0.2624, Acc.conveyer belt: 0.9147, Acc.canopy: 0.2760, Acc.washer: 0.7238, Acc.plaything: 0.3595, Acc.swimming pool: 0.8382, Acc.stool: 0.5714, Acc.barrel: 0.6150, Acc.basket: 0.4674, Acc.waterfall: 0.6765, Acc.tent: 0.9766, Acc.bag: 0.1109, Acc.minibike: 0.7643, Acc.cradle: 0.8333, Acc.oven: 0.7328, Acc.ball: 0.5095, Acc.food: 0.5427, Acc.step: 0.1484, Acc.tank: 0.5343, Acc.trade name: 0.3159, Acc.microwave: 0.6142, Acc.pot: 0.5228, Acc.animal: 0.5831, Acc.bicycle: 0.8087, Acc.lake: 0.6498, Acc.dishwasher: 0.7437, Acc.screen: 0.7567, Acc.blanket: 0.1583, Acc.sculpture: 0.8291, Acc.hood: 0.6574, Acc.sconce: 0.5934, Acc.vase: 0.5659, Acc.traffic light: 0.5872, Acc.tray: 0.0889, Acc.ashcan: 0.5783, Acc.fan: 0.7445, Acc.pier: 0.8074, Acc.crt screen: 0.1180, Acc.plate: 0.7177, Acc.monitor: 0.0392, Acc.bulletin board: 0.2508, Acc.shower: 0.0200, Acc.radiator: 0.6293, Acc.glass: 0.1346, Acc.clock: 0.3616, Acc.flag: 0.4443 +2022-06-19 11:01:47,263 - mmseg - INFO - Iter [128050/160000] lr: 6.151e-06, eta: 2:27:03, time: 0.756, data_time: 0.494, memory: 56924, decode.loss_ce: 0.2109, decode.acc_seg: 74.9953, aux.loss_ce: 0.1015, aux.acc_seg: 73.8730, loss: 0.3124 +2022-06-19 11:02:00,956 - mmseg - INFO - Iter [128100/160000] lr: 6.141e-06, eta: 2:26:49, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1938, decode.acc_seg: 74.0360, aux.loss_ce: 0.0939, aux.acc_seg: 72.9301, loss: 0.2877 +2022-06-19 11:02:14,513 - mmseg - INFO - Iter [128150/160000] lr: 6.131e-06, eta: 2:26:35, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2016, decode.acc_seg: 73.3779, aux.loss_ce: 0.0984, aux.acc_seg: 72.1845, loss: 0.3000 +2022-06-19 11:02:28,153 - mmseg - INFO - Iter [128200/160000] lr: 6.122e-06, eta: 2:26:21, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1990, decode.acc_seg: 74.5870, aux.loss_ce: 0.0954, aux.acc_seg: 73.5510, loss: 0.2944 +2022-06-19 11:02:41,667 - mmseg - INFO - Iter [128250/160000] lr: 6.112e-06, eta: 2:26:07, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1889, decode.acc_seg: 73.4980, aux.loss_ce: 0.0924, aux.acc_seg: 72.4054, loss: 0.2813 +2022-06-19 11:02:54,817 - mmseg - INFO - Iter [128300/160000] lr: 6.103e-06, eta: 2:25:53, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1901, decode.acc_seg: 73.3175, aux.loss_ce: 0.0922, aux.acc_seg: 72.2245, loss: 0.2823 +2022-06-19 11:03:08,069 - mmseg - INFO - Iter [128350/160000] lr: 6.093e-06, eta: 2:25:39, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2025, decode.acc_seg: 74.8476, aux.loss_ce: 0.0984, aux.acc_seg: 73.7903, loss: 0.3009 +2022-06-19 11:03:21,397 - mmseg - INFO - Iter [128400/160000] lr: 6.083e-06, eta: 2:25:26, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2049, decode.acc_seg: 74.8488, aux.loss_ce: 0.0991, aux.acc_seg: 73.7118, loss: 0.3040 +2022-06-19 11:03:34,716 - mmseg - INFO - Iter [128450/160000] lr: 6.074e-06, eta: 2:25:12, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1907, decode.acc_seg: 73.0748, aux.loss_ce: 0.0922, aux.acc_seg: 72.0363, loss: 0.2828 +2022-06-19 11:03:48,137 - mmseg - INFO - Iter [128500/160000] lr: 6.064e-06, eta: 2:24:58, time: 0.269, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1942, decode.acc_seg: 74.5901, aux.loss_ce: 0.0954, aux.acc_seg: 73.3898, loss: 0.2897 +2022-06-19 11:04:01,481 - mmseg - INFO - Iter [128550/160000] lr: 6.054e-06, eta: 2:24:44, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1982, decode.acc_seg: 73.5817, aux.loss_ce: 0.0955, aux.acc_seg: 72.4889, loss: 0.2937 +2022-06-19 11:04:14,830 - mmseg - INFO - Iter [128600/160000] lr: 6.045e-06, eta: 2:24:30, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2083, decode.acc_seg: 75.1604, aux.loss_ce: 0.1009, aux.acc_seg: 74.0843, loss: 0.3092 +2022-06-19 11:04:28,499 - mmseg - INFO - Iter [128650/160000] lr: 6.035e-06, eta: 2:24:16, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2126, decode.acc_seg: 73.0672, aux.loss_ce: 0.1014, aux.acc_seg: 71.9149, loss: 0.3140 +2022-06-19 11:04:41,996 - mmseg - INFO - Iter [128700/160000] lr: 6.026e-06, eta: 2:24:02, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2011, decode.acc_seg: 74.8647, aux.loss_ce: 0.0976, aux.acc_seg: 73.8200, loss: 0.2987 +2022-06-19 11:04:55,484 - mmseg - INFO - Iter [128750/160000] lr: 6.016e-06, eta: 2:23:48, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1964, decode.acc_seg: 73.9911, aux.loss_ce: 0.0948, aux.acc_seg: 72.9194, loss: 0.2912 +2022-06-19 11:05:09,241 - mmseg - INFO - Iter [128800/160000] lr: 6.006e-06, eta: 2:23:34, time: 0.275, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2104, decode.acc_seg: 74.7541, aux.loss_ce: 0.1003, aux.acc_seg: 73.7230, loss: 0.3107 +2022-06-19 11:05:25,226 - mmseg - INFO - Iter [128850/160000] lr: 5.997e-06, eta: 2:23:21, time: 0.319, data_time: 0.051, memory: 56924, decode.loss_ce: 0.1996, decode.acc_seg: 74.2580, aux.loss_ce: 0.0975, aux.acc_seg: 73.1287, loss: 0.2971 +2022-06-19 11:05:38,921 - mmseg - INFO - Iter [128900/160000] lr: 5.987e-06, eta: 2:23:07, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2073, decode.acc_seg: 73.5649, aux.loss_ce: 0.1005, aux.acc_seg: 72.3039, loss: 0.3077 +2022-06-19 11:05:52,472 - mmseg - INFO - Iter [128950/160000] lr: 5.977e-06, eta: 2:22:53, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1920, decode.acc_seg: 75.2531, aux.loss_ce: 0.0923, aux.acc_seg: 74.2116, loss: 0.2843 +2022-06-19 11:06:05,716 - mmseg - INFO - Saving checkpoint at 129000 iterations +2022-06-19 11:06:08,673 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 11:06:08,673 - mmseg - INFO - Iter [129000/160000] lr: 5.968e-06, eta: 2:22:40, time: 0.324, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1992, decode.acc_seg: 74.7205, aux.loss_ce: 0.0964, aux.acc_seg: 73.5682, loss: 0.2956 +2022-06-19 11:06:22,024 - mmseg - INFO - Iter [129050/160000] lr: 5.958e-06, eta: 2:22:26, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1909, decode.acc_seg: 73.1407, aux.loss_ce: 0.0941, aux.acc_seg: 71.9116, loss: 0.2850 +2022-06-19 11:06:35,064 - mmseg - INFO - Iter [129100/160000] lr: 5.949e-06, eta: 2:22:12, time: 0.261, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1977, decode.acc_seg: 74.1819, aux.loss_ce: 0.0968, aux.acc_seg: 73.0326, loss: 0.2945 +2022-06-19 11:06:48,495 - mmseg - INFO - Iter [129150/160000] lr: 5.939e-06, eta: 2:21:58, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1957, decode.acc_seg: 74.6050, aux.loss_ce: 0.0954, aux.acc_seg: 73.5242, loss: 0.2911 +2022-06-19 11:07:01,834 - mmseg - INFO - Iter [129200/160000] lr: 5.929e-06, eta: 2:21:45, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1917, decode.acc_seg: 75.0182, aux.loss_ce: 0.0935, aux.acc_seg: 73.8713, loss: 0.2852 +2022-06-19 11:07:15,261 - mmseg - INFO - Iter [129250/160000] lr: 5.920e-06, eta: 2:21:31, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2066, decode.acc_seg: 72.6550, aux.loss_ce: 0.0992, aux.acc_seg: 71.5322, loss: 0.3059 +2022-06-19 11:07:28,793 - mmseg - INFO - Iter [129300/160000] lr: 5.910e-06, eta: 2:21:17, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2013, decode.acc_seg: 72.8743, aux.loss_ce: 0.0980, aux.acc_seg: 71.7190, loss: 0.2993 +2022-06-19 11:07:42,517 - mmseg - INFO - Iter [129350/160000] lr: 5.900e-06, eta: 2:21:03, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2037, decode.acc_seg: 72.6302, aux.loss_ce: 0.0981, aux.acc_seg: 71.4828, loss: 0.3019 +2022-06-19 11:07:56,066 - mmseg - INFO - Iter [129400/160000] lr: 5.891e-06, eta: 2:20:49, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1970, decode.acc_seg: 75.2146, aux.loss_ce: 0.0936, aux.acc_seg: 74.2888, loss: 0.2906 +2022-06-19 11:08:09,665 - mmseg - INFO - Iter [129450/160000] lr: 5.881e-06, eta: 2:20:35, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1991, decode.acc_seg: 74.1904, aux.loss_ce: 0.0964, aux.acc_seg: 73.0540, loss: 0.2955 +2022-06-19 11:08:23,224 - mmseg - INFO - Iter [129500/160000] lr: 5.872e-06, eta: 2:20:21, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1987, decode.acc_seg: 74.6045, aux.loss_ce: 0.0971, aux.acc_seg: 73.4049, loss: 0.2959 +2022-06-19 11:08:36,542 - mmseg - INFO - Iter [129550/160000] lr: 5.862e-06, eta: 2:20:07, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2084, decode.acc_seg: 73.7580, aux.loss_ce: 0.1007, aux.acc_seg: 72.6687, loss: 0.3091 +2022-06-19 11:08:49,957 - mmseg - INFO - Iter [129600/160000] lr: 5.852e-06, eta: 2:19:54, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1991, decode.acc_seg: 74.6328, aux.loss_ce: 0.0968, aux.acc_seg: 73.4586, loss: 0.2959 +2022-06-19 11:09:03,490 - mmseg - INFO - Iter [129650/160000] lr: 5.843e-06, eta: 2:19:40, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1986, decode.acc_seg: 74.7571, aux.loss_ce: 0.0961, aux.acc_seg: 73.5965, loss: 0.2947 +2022-06-19 11:09:16,963 - mmseg - INFO - Iter [129700/160000] lr: 5.833e-06, eta: 2:19:26, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2012, decode.acc_seg: 73.5955, aux.loss_ce: 0.0981, aux.acc_seg: 72.4287, loss: 0.2993 +2022-06-19 11:09:30,649 - mmseg - INFO - Iter [129750/160000] lr: 5.823e-06, eta: 2:19:12, time: 0.274, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2098, decode.acc_seg: 73.7610, aux.loss_ce: 0.1021, aux.acc_seg: 72.5197, loss: 0.3120 +2022-06-19 11:09:44,117 - mmseg - INFO - Iter [129800/160000] lr: 5.814e-06, eta: 2:18:58, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1954, decode.acc_seg: 74.7194, aux.loss_ce: 0.0941, aux.acc_seg: 73.6937, loss: 0.2895 +2022-06-19 11:09:57,330 - mmseg - INFO - Iter [129850/160000] lr: 5.804e-06, eta: 2:18:44, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1949, decode.acc_seg: 73.8899, aux.loss_ce: 0.0965, aux.acc_seg: 72.5714, loss: 0.2914 +2022-06-19 11:10:10,964 - mmseg - INFO - Iter [129900/160000] lr: 5.795e-06, eta: 2:18:30, time: 0.273, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1920, decode.acc_seg: 74.6256, aux.loss_ce: 0.0939, aux.acc_seg: 73.5698, loss: 0.2859 +2022-06-19 11:10:24,508 - mmseg - INFO - Iter [129950/160000] lr: 5.785e-06, eta: 2:18:16, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1945, decode.acc_seg: 75.0012, aux.loss_ce: 0.0944, aux.acc_seg: 73.9044, loss: 0.2889 +2022-06-19 11:10:38,047 - mmseg - INFO - Saving checkpoint at 130000 iterations +2022-06-19 11:10:40,932 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 11:10:40,932 - mmseg - INFO - Iter [130000/160000] lr: 5.775e-06, eta: 2:18:03, time: 0.329, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1981, decode.acc_seg: 76.0191, aux.loss_ce: 0.0967, aux.acc_seg: 74.8099, loss: 0.2948 +2022-06-19 11:10:54,056 - mmseg - INFO - Iter [130050/160000] lr: 5.766e-06, eta: 2:17:49, time: 0.262, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1944, decode.acc_seg: 74.2093, aux.loss_ce: 0.0961, aux.acc_seg: 72.9600, loss: 0.2905 +2022-06-19 11:11:09,697 - mmseg - INFO - Iter [130100/160000] lr: 5.756e-06, eta: 2:17:36, time: 0.313, data_time: 0.050, memory: 56924, decode.loss_ce: 0.1962, decode.acc_seg: 73.7081, aux.loss_ce: 0.0945, aux.acc_seg: 72.6704, loss: 0.2907 +2022-06-19 11:11:23,113 - mmseg - INFO - Iter [130150/160000] lr: 5.746e-06, eta: 2:17:22, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1988, decode.acc_seg: 74.2593, aux.loss_ce: 0.0978, aux.acc_seg: 72.9678, loss: 0.2966 +2022-06-19 11:11:36,596 - mmseg - INFO - Iter [130200/160000] lr: 5.737e-06, eta: 2:17:08, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1870, decode.acc_seg: 74.0943, aux.loss_ce: 0.0918, aux.acc_seg: 72.9403, loss: 0.2789 +2022-06-19 11:11:49,970 - mmseg - INFO - Iter [130250/160000] lr: 5.727e-06, eta: 2:16:54, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2114, decode.acc_seg: 73.7337, aux.loss_ce: 0.1001, aux.acc_seg: 72.6909, loss: 0.3115 +2022-06-19 11:12:03,407 - mmseg - INFO - Iter [130300/160000] lr: 5.718e-06, eta: 2:16:40, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1895, decode.acc_seg: 75.6198, aux.loss_ce: 0.0919, aux.acc_seg: 74.6330, loss: 0.2814 +2022-06-19 11:12:17,027 - mmseg - INFO - Iter [130350/160000] lr: 5.708e-06, eta: 2:16:26, time: 0.273, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2004, decode.acc_seg: 74.4839, aux.loss_ce: 0.0971, aux.acc_seg: 73.4053, loss: 0.2975 +2022-06-19 11:12:30,421 - mmseg - INFO - Iter [130400/160000] lr: 5.698e-06, eta: 2:16:13, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.2036, decode.acc_seg: 74.4615, aux.loss_ce: 0.0981, aux.acc_seg: 73.3638, loss: 0.3017 +2022-06-19 11:12:43,942 - mmseg - INFO - Iter [130450/160000] lr: 5.689e-06, eta: 2:15:59, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2103, decode.acc_seg: 75.5419, aux.loss_ce: 0.1012, aux.acc_seg: 74.3488, loss: 0.3115 +2022-06-19 11:12:57,304 - mmseg - INFO - Iter [130500/160000] lr: 5.679e-06, eta: 2:15:45, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1984, decode.acc_seg: 73.2992, aux.loss_ce: 0.0959, aux.acc_seg: 72.1700, loss: 0.2943 +2022-06-19 11:13:10,845 - mmseg - INFO - Iter [130550/160000] lr: 5.669e-06, eta: 2:15:31, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1945, decode.acc_seg: 73.9441, aux.loss_ce: 0.0960, aux.acc_seg: 72.6876, loss: 0.2904 +2022-06-19 11:13:24,168 - mmseg - INFO - Iter [130600/160000] lr: 5.660e-06, eta: 2:15:17, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2001, decode.acc_seg: 75.3779, aux.loss_ce: 0.0955, aux.acc_seg: 74.4331, loss: 0.2955 +2022-06-19 11:13:37,525 - mmseg - INFO - Iter [130650/160000] lr: 5.650e-06, eta: 2:15:03, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2006, decode.acc_seg: 75.3920, aux.loss_ce: 0.0973, aux.acc_seg: 74.3366, loss: 0.2979 +2022-06-19 11:13:51,001 - mmseg - INFO - Iter [130700/160000] lr: 5.641e-06, eta: 2:14:49, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2042, decode.acc_seg: 73.4329, aux.loss_ce: 0.0979, aux.acc_seg: 72.2756, loss: 0.3021 +2022-06-19 11:14:04,436 - mmseg - INFO - Iter [130750/160000] lr: 5.631e-06, eta: 2:14:35, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1946, decode.acc_seg: 74.5500, aux.loss_ce: 0.0946, aux.acc_seg: 73.4049, loss: 0.2892 +2022-06-19 11:14:17,783 - mmseg - INFO - Iter [130800/160000] lr: 5.621e-06, eta: 2:14:21, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1881, decode.acc_seg: 73.2727, aux.loss_ce: 0.0912, aux.acc_seg: 72.2948, loss: 0.2794 +2022-06-19 11:14:31,234 - mmseg - INFO - Iter [130850/160000] lr: 5.612e-06, eta: 2:14:08, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2041, decode.acc_seg: 74.4489, aux.loss_ce: 0.0989, aux.acc_seg: 73.2950, loss: 0.3030 +2022-06-19 11:14:44,639 - mmseg - INFO - Iter [130900/160000] lr: 5.602e-06, eta: 2:13:54, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1877, decode.acc_seg: 73.5287, aux.loss_ce: 0.0921, aux.acc_seg: 72.4268, loss: 0.2797 +2022-06-19 11:14:58,092 - mmseg - INFO - Iter [130950/160000] lr: 5.592e-06, eta: 2:13:40, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1970, decode.acc_seg: 74.0286, aux.loss_ce: 0.0962, aux.acc_seg: 72.9335, loss: 0.2932 +2022-06-19 11:15:11,491 - mmseg - INFO - Saving checkpoint at 131000 iterations +2022-06-19 11:15:14,444 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 11:15:14,444 - mmseg - INFO - Iter [131000/160000] lr: 5.583e-06, eta: 2:13:26, time: 0.327, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2002, decode.acc_seg: 73.6147, aux.loss_ce: 0.0959, aux.acc_seg: 72.5485, loss: 0.2960 +2022-06-19 11:15:27,997 - mmseg - INFO - Iter [131050/160000] lr: 5.573e-06, eta: 2:13:13, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2025, decode.acc_seg: 74.1622, aux.loss_ce: 0.0975, aux.acc_seg: 73.1961, loss: 0.3000 +2022-06-19 11:15:41,984 - mmseg - INFO - Iter [131100/160000] lr: 5.564e-06, eta: 2:12:59, time: 0.279, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1909, decode.acc_seg: 74.7633, aux.loss_ce: 0.0922, aux.acc_seg: 73.7337, loss: 0.2831 +2022-06-19 11:15:55,639 - mmseg - INFO - Iter [131150/160000] lr: 5.554e-06, eta: 2:12:45, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1880, decode.acc_seg: 75.2150, aux.loss_ce: 0.0912, aux.acc_seg: 74.1800, loss: 0.2791 +2022-06-19 11:16:09,047 - mmseg - INFO - Iter [131200/160000] lr: 5.544e-06, eta: 2:12:31, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1993, decode.acc_seg: 74.3388, aux.loss_ce: 0.0960, aux.acc_seg: 73.2607, loss: 0.2952 +2022-06-19 11:16:22,458 - mmseg - INFO - Iter [131250/160000] lr: 5.535e-06, eta: 2:12:17, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1984, decode.acc_seg: 73.5642, aux.loss_ce: 0.0980, aux.acc_seg: 72.3260, loss: 0.2964 +2022-06-19 11:16:36,026 - mmseg - INFO - Iter [131300/160000] lr: 5.525e-06, eta: 2:12:03, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2025, decode.acc_seg: 73.1990, aux.loss_ce: 0.0978, aux.acc_seg: 72.0756, loss: 0.3002 +2022-06-19 11:16:49,228 - mmseg - INFO - Iter [131350/160000] lr: 5.515e-06, eta: 2:11:49, time: 0.265, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1941, decode.acc_seg: 73.4325, aux.loss_ce: 0.0950, aux.acc_seg: 72.3177, loss: 0.2891 +2022-06-19 11:17:04,728 - mmseg - INFO - Iter [131400/160000] lr: 5.506e-06, eta: 2:11:36, time: 0.310, data_time: 0.051, memory: 56924, decode.loss_ce: 0.1887, decode.acc_seg: 74.3292, aux.loss_ce: 0.0899, aux.acc_seg: 73.3903, loss: 0.2786 +2022-06-19 11:17:17,757 - mmseg - INFO - Iter [131450/160000] lr: 5.496e-06, eta: 2:11:22, time: 0.260, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1936, decode.acc_seg: 74.0242, aux.loss_ce: 0.0930, aux.acc_seg: 72.9969, loss: 0.2866 +2022-06-19 11:17:31,220 - mmseg - INFO - Iter [131500/160000] lr: 5.487e-06, eta: 2:11:08, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1979, decode.acc_seg: 75.4259, aux.loss_ce: 0.0978, aux.acc_seg: 74.1216, loss: 0.2956 +2022-06-19 11:17:44,753 - mmseg - INFO - Iter [131550/160000] lr: 5.477e-06, eta: 2:10:54, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1951, decode.acc_seg: 73.8532, aux.loss_ce: 0.0929, aux.acc_seg: 72.8514, loss: 0.2879 +2022-06-19 11:17:58,158 - mmseg - INFO - Iter [131600/160000] lr: 5.467e-06, eta: 2:10:40, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1935, decode.acc_seg: 73.5185, aux.loss_ce: 0.0947, aux.acc_seg: 72.3577, loss: 0.2882 +2022-06-19 11:18:11,717 - mmseg - INFO - Iter [131650/160000] lr: 5.458e-06, eta: 2:10:27, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1870, decode.acc_seg: 74.9341, aux.loss_ce: 0.0902, aux.acc_seg: 73.8923, loss: 0.2772 +2022-06-19 11:18:24,826 - mmseg - INFO - Iter [131700/160000] lr: 5.448e-06, eta: 2:10:13, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1874, decode.acc_seg: 74.9323, aux.loss_ce: 0.0901, aux.acc_seg: 73.8441, loss: 0.2775 +2022-06-19 11:18:38,203 - mmseg - INFO - Iter [131750/160000] lr: 5.438e-06, eta: 2:09:59, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2066, decode.acc_seg: 73.5945, aux.loss_ce: 0.1009, aux.acc_seg: 72.3691, loss: 0.3075 +2022-06-19 11:18:51,706 - mmseg - INFO - Iter [131800/160000] lr: 5.429e-06, eta: 2:09:45, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2020, decode.acc_seg: 74.9453, aux.loss_ce: 0.0981, aux.acc_seg: 73.9246, loss: 0.3000 +2022-06-19 11:19:05,197 - mmseg - INFO - Iter [131850/160000] lr: 5.419e-06, eta: 2:09:31, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1927, decode.acc_seg: 74.4486, aux.loss_ce: 0.0935, aux.acc_seg: 73.4586, loss: 0.2862 +2022-06-19 11:19:18,485 - mmseg - INFO - Iter [131900/160000] lr: 5.410e-06, eta: 2:09:17, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1929, decode.acc_seg: 75.0077, aux.loss_ce: 0.0935, aux.acc_seg: 73.8897, loss: 0.2864 +2022-06-19 11:19:32,187 - mmseg - INFO - Iter [131950/160000] lr: 5.400e-06, eta: 2:09:03, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2052, decode.acc_seg: 73.9741, aux.loss_ce: 0.0980, aux.acc_seg: 72.9945, loss: 0.3032 +2022-06-19 11:19:45,389 - mmseg - INFO - Saving checkpoint at 132000 iterations +2022-06-19 11:19:48,371 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 11:19:48,371 - mmseg - INFO - Iter [132000/160000] lr: 5.390e-06, eta: 2:08:50, time: 0.324, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1974, decode.acc_seg: 74.0277, aux.loss_ce: 0.0947, aux.acc_seg: 72.9798, loss: 0.2922 +2022-06-19 11:20:01,835 - mmseg - INFO - Iter [132050/160000] lr: 5.381e-06, eta: 2:08:36, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1924, decode.acc_seg: 74.4663, aux.loss_ce: 0.0949, aux.acc_seg: 73.2409, loss: 0.2874 +2022-06-19 11:20:15,195 - mmseg - INFO - Iter [132100/160000] lr: 5.371e-06, eta: 2:08:22, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2000, decode.acc_seg: 75.3575, aux.loss_ce: 0.0967, aux.acc_seg: 74.2076, loss: 0.2968 +2022-06-19 11:20:28,712 - mmseg - INFO - Iter [132150/160000] lr: 5.361e-06, eta: 2:08:08, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2097, decode.acc_seg: 73.9635, aux.loss_ce: 0.1025, aux.acc_seg: 72.8301, loss: 0.3122 +2022-06-19 11:20:41,999 - mmseg - INFO - Iter [132200/160000] lr: 5.352e-06, eta: 2:07:54, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1946, decode.acc_seg: 73.4517, aux.loss_ce: 0.0935, aux.acc_seg: 72.5050, loss: 0.2881 +2022-06-19 11:20:55,181 - mmseg - INFO - Iter [132250/160000] lr: 5.342e-06, eta: 2:07:40, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2058, decode.acc_seg: 74.2872, aux.loss_ce: 0.0997, aux.acc_seg: 73.0821, loss: 0.3055 +2022-06-19 11:21:08,629 - mmseg - INFO - Iter [132300/160000] lr: 5.333e-06, eta: 2:07:27, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2095, decode.acc_seg: 73.8618, aux.loss_ce: 0.1001, aux.acc_seg: 72.6955, loss: 0.3096 +2022-06-19 11:21:22,413 - mmseg - INFO - Iter [132350/160000] lr: 5.323e-06, eta: 2:07:13, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2044, decode.acc_seg: 75.4018, aux.loss_ce: 0.0995, aux.acc_seg: 74.3055, loss: 0.3039 +2022-06-19 11:21:35,752 - mmseg - INFO - Iter [132400/160000] lr: 5.313e-06, eta: 2:06:59, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1852, decode.acc_seg: 75.9125, aux.loss_ce: 0.0894, aux.acc_seg: 74.8876, loss: 0.2746 +2022-06-19 11:21:49,280 - mmseg - INFO - Iter [132450/160000] lr: 5.304e-06, eta: 2:06:45, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1915, decode.acc_seg: 72.3082, aux.loss_ce: 0.0928, aux.acc_seg: 71.1835, loss: 0.2844 +2022-06-19 11:22:02,727 - mmseg - INFO - Iter [132500/160000] lr: 5.294e-06, eta: 2:06:31, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2001, decode.acc_seg: 74.8122, aux.loss_ce: 0.0951, aux.acc_seg: 73.7703, loss: 0.2952 +2022-06-19 11:22:16,213 - mmseg - INFO - Iter [132550/160000] lr: 5.284e-06, eta: 2:06:17, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1998, decode.acc_seg: 75.4052, aux.loss_ce: 0.0955, aux.acc_seg: 74.3520, loss: 0.2953 +2022-06-19 11:22:29,611 - mmseg - INFO - Iter [132600/160000] lr: 5.275e-06, eta: 2:06:03, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1930, decode.acc_seg: 75.2809, aux.loss_ce: 0.0951, aux.acc_seg: 74.2132, loss: 0.2880 +2022-06-19 11:22:45,418 - mmseg - INFO - Iter [132650/160000] lr: 5.265e-06, eta: 2:05:50, time: 0.316, data_time: 0.050, memory: 56924, decode.loss_ce: 0.1980, decode.acc_seg: 73.4818, aux.loss_ce: 0.0961, aux.acc_seg: 72.3623, loss: 0.2941 +2022-06-19 11:22:58,960 - mmseg - INFO - Iter [132700/160000] lr: 5.256e-06, eta: 2:05:36, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1942, decode.acc_seg: 75.5442, aux.loss_ce: 0.0951, aux.acc_seg: 74.4430, loss: 0.2893 +2022-06-19 11:23:12,587 - mmseg - INFO - Iter [132750/160000] lr: 5.246e-06, eta: 2:05:22, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2002, decode.acc_seg: 73.6605, aux.loss_ce: 0.0981, aux.acc_seg: 72.4705, loss: 0.2984 +2022-06-19 11:23:26,015 - mmseg - INFO - Iter [132800/160000] lr: 5.236e-06, eta: 2:05:08, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1946, decode.acc_seg: 73.0181, aux.loss_ce: 0.0959, aux.acc_seg: 71.8788, loss: 0.2905 +2022-06-19 11:23:39,293 - mmseg - INFO - Iter [132850/160000] lr: 5.227e-06, eta: 2:04:54, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1924, decode.acc_seg: 74.7812, aux.loss_ce: 0.0944, aux.acc_seg: 73.5766, loss: 0.2867 +2022-06-19 11:23:52,743 - mmseg - INFO - Iter [132900/160000] lr: 5.217e-06, eta: 2:04:41, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2016, decode.acc_seg: 75.1186, aux.loss_ce: 0.0983, aux.acc_seg: 74.0068, loss: 0.2999 +2022-06-19 11:24:05,988 - mmseg - INFO - Iter [132950/160000] lr: 5.207e-06, eta: 2:04:27, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1958, decode.acc_seg: 73.7100, aux.loss_ce: 0.0954, aux.acc_seg: 72.5779, loss: 0.2911 +2022-06-19 11:24:19,541 - mmseg - INFO - Saving checkpoint at 133000 iterations +2022-06-19 11:24:22,517 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 11:24:22,517 - mmseg - INFO - Iter [133000/160000] lr: 5.198e-06, eta: 2:04:13, time: 0.331, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1938, decode.acc_seg: 75.0500, aux.loss_ce: 0.0929, aux.acc_seg: 74.0347, loss: 0.2867 +2022-06-19 11:24:36,012 - mmseg - INFO - Iter [133050/160000] lr: 5.188e-06, eta: 2:04:00, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2128, decode.acc_seg: 73.6625, aux.loss_ce: 0.1028, aux.acc_seg: 72.4710, loss: 0.3156 +2022-06-19 11:24:49,413 - mmseg - INFO - Iter [133100/160000] lr: 5.179e-06, eta: 2:03:46, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1937, decode.acc_seg: 75.9660, aux.loss_ce: 0.0934, aux.acc_seg: 74.9238, loss: 0.2871 +2022-06-19 11:25:02,938 - mmseg - INFO - Iter [133150/160000] lr: 5.169e-06, eta: 2:03:32, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1941, decode.acc_seg: 73.6197, aux.loss_ce: 0.0946, aux.acc_seg: 72.5257, loss: 0.2888 +2022-06-19 11:25:16,219 - mmseg - INFO - Iter [133200/160000] lr: 5.159e-06, eta: 2:03:18, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1871, decode.acc_seg: 73.7997, aux.loss_ce: 0.0909, aux.acc_seg: 72.6654, loss: 0.2781 +2022-06-19 11:25:29,402 - mmseg - INFO - Iter [133250/160000] lr: 5.150e-06, eta: 2:03:04, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1938, decode.acc_seg: 74.7446, aux.loss_ce: 0.0939, aux.acc_seg: 73.6980, loss: 0.2877 +2022-06-19 11:25:42,953 - mmseg - INFO - Iter [133300/160000] lr: 5.140e-06, eta: 2:02:50, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1833, decode.acc_seg: 75.4111, aux.loss_ce: 0.0887, aux.acc_seg: 74.3705, loss: 0.2720 +2022-06-19 11:25:56,207 - mmseg - INFO - Iter [133350/160000] lr: 5.130e-06, eta: 2:02:36, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1894, decode.acc_seg: 74.8371, aux.loss_ce: 0.0928, aux.acc_seg: 73.7569, loss: 0.2822 +2022-06-19 11:26:09,652 - mmseg - INFO - Iter [133400/160000] lr: 5.121e-06, eta: 2:02:22, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1904, decode.acc_seg: 73.6814, aux.loss_ce: 0.0935, aux.acc_seg: 72.4983, loss: 0.2839 +2022-06-19 11:26:22,919 - mmseg - INFO - Iter [133450/160000] lr: 5.111e-06, eta: 2:02:08, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1803, decode.acc_seg: 74.0467, aux.loss_ce: 0.0871, aux.acc_seg: 73.0127, loss: 0.2674 +2022-06-19 11:26:36,170 - mmseg - INFO - Iter [133500/160000] lr: 5.102e-06, eta: 2:01:55, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1939, decode.acc_seg: 74.7281, aux.loss_ce: 0.0916, aux.acc_seg: 73.8481, loss: 0.2855 +2022-06-19 11:26:49,738 - mmseg - INFO - Iter [133550/160000] lr: 5.092e-06, eta: 2:01:41, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1987, decode.acc_seg: 74.3949, aux.loss_ce: 0.0979, aux.acc_seg: 73.0238, loss: 0.2965 +2022-06-19 11:27:03,387 - mmseg - INFO - Iter [133600/160000] lr: 5.082e-06, eta: 2:01:27, time: 0.274, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1940, decode.acc_seg: 74.5448, aux.loss_ce: 0.0952, aux.acc_seg: 73.3159, loss: 0.2892 +2022-06-19 11:27:16,594 - mmseg - INFO - Iter [133650/160000] lr: 5.073e-06, eta: 2:01:13, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1943, decode.acc_seg: 72.4992, aux.loss_ce: 0.0934, aux.acc_seg: 71.4408, loss: 0.2877 +2022-06-19 11:27:30,056 - mmseg - INFO - Iter [133700/160000] lr: 5.063e-06, eta: 2:00:59, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2006, decode.acc_seg: 73.8700, aux.loss_ce: 0.0992, aux.acc_seg: 72.6640, loss: 0.2999 +2022-06-19 11:27:43,533 - mmseg - INFO - Iter [133750/160000] lr: 5.053e-06, eta: 2:00:45, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1911, decode.acc_seg: 75.1955, aux.loss_ce: 0.0926, aux.acc_seg: 74.0663, loss: 0.2838 +2022-06-19 11:27:57,030 - mmseg - INFO - Iter [133800/160000] lr: 5.044e-06, eta: 2:00:31, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1885, decode.acc_seg: 72.9391, aux.loss_ce: 0.0925, aux.acc_seg: 71.7369, loss: 0.2810 +2022-06-19 11:28:10,464 - mmseg - INFO - Iter [133850/160000] lr: 5.034e-06, eta: 2:00:17, time: 0.269, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1879, decode.acc_seg: 76.1900, aux.loss_ce: 0.0907, aux.acc_seg: 75.1607, loss: 0.2786 +2022-06-19 11:28:26,350 - mmseg - INFO - Iter [133900/160000] lr: 5.025e-06, eta: 2:00:04, time: 0.318, data_time: 0.051, memory: 56924, decode.loss_ce: 0.1938, decode.acc_seg: 75.0244, aux.loss_ce: 0.0955, aux.acc_seg: 73.9174, loss: 0.2893 +2022-06-19 11:28:39,703 - mmseg - INFO - Iter [133950/160000] lr: 5.015e-06, eta: 1:59:50, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1991, decode.acc_seg: 72.0532, aux.loss_ce: 0.0985, aux.acc_seg: 70.8006, loss: 0.2976 +2022-06-19 11:28:53,473 - mmseg - INFO - Saving checkpoint at 134000 iterations +2022-06-19 11:28:56,409 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 11:28:56,409 - mmseg - INFO - Iter [134000/160000] lr: 5.005e-06, eta: 1:59:37, time: 0.334, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1957, decode.acc_seg: 74.6388, aux.loss_ce: 0.0946, aux.acc_seg: 73.6211, loss: 0.2903 +2022-06-19 11:29:09,912 - mmseg - INFO - Iter [134050/160000] lr: 4.996e-06, eta: 1:59:23, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1983, decode.acc_seg: 74.1567, aux.loss_ce: 0.0964, aux.acc_seg: 73.0109, loss: 0.2947 +2022-06-19 11:29:23,515 - mmseg - INFO - Iter [134100/160000] lr: 4.986e-06, eta: 1:59:09, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1967, decode.acc_seg: 73.8039, aux.loss_ce: 0.0956, aux.acc_seg: 72.7012, loss: 0.2923 +2022-06-19 11:29:36,883 - mmseg - INFO - Iter [134150/160000] lr: 4.976e-06, eta: 1:58:55, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1855, decode.acc_seg: 74.5879, aux.loss_ce: 0.0910, aux.acc_seg: 73.4111, loss: 0.2765 +2022-06-19 11:29:50,163 - mmseg - INFO - Iter [134200/160000] lr: 4.967e-06, eta: 1:58:41, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2025, decode.acc_seg: 74.4126, aux.loss_ce: 0.0974, aux.acc_seg: 73.2540, loss: 0.2999 +2022-06-19 11:30:03,612 - mmseg - INFO - Iter [134250/160000] lr: 4.957e-06, eta: 1:58:28, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1779, decode.acc_seg: 73.0227, aux.loss_ce: 0.0859, aux.acc_seg: 72.0376, loss: 0.2638 +2022-06-19 11:30:17,122 - mmseg - INFO - Iter [134300/160000] lr: 4.948e-06, eta: 1:58:14, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1957, decode.acc_seg: 73.8714, aux.loss_ce: 0.0952, aux.acc_seg: 72.6774, loss: 0.2909 +2022-06-19 11:30:30,336 - mmseg - INFO - Iter [134350/160000] lr: 4.938e-06, eta: 1:58:00, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2051, decode.acc_seg: 73.9694, aux.loss_ce: 0.0998, aux.acc_seg: 72.7935, loss: 0.3050 +2022-06-19 11:30:43,883 - mmseg - INFO - Iter [134400/160000] lr: 4.928e-06, eta: 1:57:46, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1936, decode.acc_seg: 74.2107, aux.loss_ce: 0.0942, aux.acc_seg: 73.0915, loss: 0.2878 +2022-06-19 11:30:57,476 - mmseg - INFO - Iter [134450/160000] lr: 4.919e-06, eta: 1:57:32, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1927, decode.acc_seg: 75.0158, aux.loss_ce: 0.0937, aux.acc_seg: 73.8066, loss: 0.2864 +2022-06-19 11:31:10,769 - mmseg - INFO - Iter [134500/160000] lr: 4.909e-06, eta: 1:57:18, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1957, decode.acc_seg: 75.1287, aux.loss_ce: 0.0941, aux.acc_seg: 74.0471, loss: 0.2899 +2022-06-19 11:31:24,134 - mmseg - INFO - Iter [134550/160000] lr: 4.899e-06, eta: 1:57:04, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2072, decode.acc_seg: 73.4946, aux.loss_ce: 0.1012, aux.acc_seg: 72.4033, loss: 0.3084 +2022-06-19 11:31:37,308 - mmseg - INFO - Iter [134600/160000] lr: 4.890e-06, eta: 1:56:50, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1948, decode.acc_seg: 74.2123, aux.loss_ce: 0.0955, aux.acc_seg: 73.1224, loss: 0.2904 +2022-06-19 11:31:50,763 - mmseg - INFO - Iter [134650/160000] lr: 4.880e-06, eta: 1:56:37, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1923, decode.acc_seg: 74.3091, aux.loss_ce: 0.0937, aux.acc_seg: 73.1732, loss: 0.2860 +2022-06-19 11:32:04,344 - mmseg - INFO - Iter [134700/160000] lr: 4.871e-06, eta: 1:56:23, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2048, decode.acc_seg: 73.4531, aux.loss_ce: 0.0990, aux.acc_seg: 72.2711, loss: 0.3038 +2022-06-19 11:32:17,784 - mmseg - INFO - Iter [134750/160000] lr: 4.861e-06, eta: 1:56:09, time: 0.269, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1930, decode.acc_seg: 75.8116, aux.loss_ce: 0.0949, aux.acc_seg: 74.6717, loss: 0.2879 +2022-06-19 11:32:31,032 - mmseg - INFO - Iter [134800/160000] lr: 4.851e-06, eta: 1:55:55, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2107, decode.acc_seg: 73.8097, aux.loss_ce: 0.1017, aux.acc_seg: 72.6242, loss: 0.3125 +2022-06-19 11:32:44,283 - mmseg - INFO - Iter [134850/160000] lr: 4.842e-06, eta: 1:55:41, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1942, decode.acc_seg: 73.3708, aux.loss_ce: 0.0933, aux.acc_seg: 72.3458, loss: 0.2875 +2022-06-19 11:32:57,933 - mmseg - INFO - Iter [134900/160000] lr: 4.832e-06, eta: 1:55:27, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1885, decode.acc_seg: 75.1775, aux.loss_ce: 0.0913, aux.acc_seg: 74.1151, loss: 0.2798 +2022-06-19 11:33:11,441 - mmseg - INFO - Iter [134950/160000] lr: 4.822e-06, eta: 1:55:13, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1986, decode.acc_seg: 75.7635, aux.loss_ce: 0.0964, aux.acc_seg: 74.5648, loss: 0.2951 +2022-06-19 11:33:25,134 - mmseg - INFO - Saving checkpoint at 135000 iterations +2022-06-19 11:33:28,079 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 11:33:28,079 - mmseg - INFO - Iter [135000/160000] lr: 4.813e-06, eta: 1:55:00, time: 0.333, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1971, decode.acc_seg: 72.8158, aux.loss_ce: 0.0973, aux.acc_seg: 71.4135, loss: 0.2944 +2022-06-19 11:33:41,718 - mmseg - INFO - Iter [135050/160000] lr: 4.803e-06, eta: 1:54:46, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2156, decode.acc_seg: 73.1977, aux.loss_ce: 0.1044, aux.acc_seg: 71.9117, loss: 0.3200 +2022-06-19 11:33:55,366 - mmseg - INFO - Iter [135100/160000] lr: 4.794e-06, eta: 1:54:32, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1949, decode.acc_seg: 74.7528, aux.loss_ce: 0.0936, aux.acc_seg: 73.6621, loss: 0.2884 +2022-06-19 11:34:11,073 - mmseg - INFO - Iter [135150/160000] lr: 4.784e-06, eta: 1:54:19, time: 0.314, data_time: 0.050, memory: 56924, decode.loss_ce: 0.1958, decode.acc_seg: 73.5337, aux.loss_ce: 0.0968, aux.acc_seg: 72.2973, loss: 0.2926 +2022-06-19 11:34:24,419 - mmseg - INFO - Iter [135200/160000] lr: 4.774e-06, eta: 1:54:05, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1947, decode.acc_seg: 74.9580, aux.loss_ce: 0.0946, aux.acc_seg: 73.7772, loss: 0.2893 +2022-06-19 11:34:37,755 - mmseg - INFO - Iter [135250/160000] lr: 4.765e-06, eta: 1:53:51, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1810, decode.acc_seg: 75.2143, aux.loss_ce: 0.0885, aux.acc_seg: 74.2361, loss: 0.2695 +2022-06-19 11:34:51,260 - mmseg - INFO - Iter [135300/160000] lr: 4.755e-06, eta: 1:53:37, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1863, decode.acc_seg: 74.3491, aux.loss_ce: 0.0922, aux.acc_seg: 73.0787, loss: 0.2786 +2022-06-19 11:35:04,701 - mmseg - INFO - Iter [135350/160000] lr: 4.745e-06, eta: 1:53:23, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1859, decode.acc_seg: 74.3677, aux.loss_ce: 0.0875, aux.acc_seg: 73.5536, loss: 0.2734 +2022-06-19 11:35:18,100 - mmseg - INFO - Iter [135400/160000] lr: 4.736e-06, eta: 1:53:10, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1929, decode.acc_seg: 73.9006, aux.loss_ce: 0.0932, aux.acc_seg: 72.8021, loss: 0.2861 +2022-06-19 11:35:31,754 - mmseg - INFO - Iter [135450/160000] lr: 4.726e-06, eta: 1:52:56, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2002, decode.acc_seg: 74.7911, aux.loss_ce: 0.0976, aux.acc_seg: 73.6180, loss: 0.2978 +2022-06-19 11:35:45,105 - mmseg - INFO - Iter [135500/160000] lr: 4.717e-06, eta: 1:52:42, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2014, decode.acc_seg: 75.7972, aux.loss_ce: 0.0984, aux.acc_seg: 74.5243, loss: 0.2998 +2022-06-19 11:35:58,442 - mmseg - INFO - Iter [135550/160000] lr: 4.707e-06, eta: 1:52:28, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2015, decode.acc_seg: 73.7286, aux.loss_ce: 0.0978, aux.acc_seg: 72.5715, loss: 0.2994 +2022-06-19 11:36:11,903 - mmseg - INFO - Iter [135600/160000] lr: 4.697e-06, eta: 1:52:14, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1804, decode.acc_seg: 73.6441, aux.loss_ce: 0.0889, aux.acc_seg: 72.5008, loss: 0.2693 +2022-06-19 11:36:25,231 - mmseg - INFO - Iter [135650/160000] lr: 4.688e-06, eta: 1:52:00, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1854, decode.acc_seg: 74.6824, aux.loss_ce: 0.0900, aux.acc_seg: 73.6016, loss: 0.2755 +2022-06-19 11:36:38,678 - mmseg - INFO - Iter [135700/160000] lr: 4.678e-06, eta: 1:51:46, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1979, decode.acc_seg: 75.3602, aux.loss_ce: 0.0969, aux.acc_seg: 74.2499, loss: 0.2948 +2022-06-19 11:36:52,056 - mmseg - INFO - Iter [135750/160000] lr: 4.668e-06, eta: 1:51:33, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1923, decode.acc_seg: 74.4763, aux.loss_ce: 0.0939, aux.acc_seg: 73.2973, loss: 0.2863 +2022-06-19 11:37:05,366 - mmseg - INFO - Iter [135800/160000] lr: 4.659e-06, eta: 1:51:19, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2071, decode.acc_seg: 73.9932, aux.loss_ce: 0.1009, aux.acc_seg: 72.7130, loss: 0.3080 +2022-06-19 11:37:18,773 - mmseg - INFO - Iter [135850/160000] lr: 4.649e-06, eta: 1:51:05, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2036, decode.acc_seg: 74.4092, aux.loss_ce: 0.0967, aux.acc_seg: 73.3681, loss: 0.3003 +2022-06-19 11:37:32,481 - mmseg - INFO - Iter [135900/160000] lr: 4.640e-06, eta: 1:50:51, time: 0.274, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1938, decode.acc_seg: 73.6532, aux.loss_ce: 0.0950, aux.acc_seg: 72.5166, loss: 0.2888 +2022-06-19 11:37:46,076 - mmseg - INFO - Iter [135950/160000] lr: 4.630e-06, eta: 1:50:37, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2004, decode.acc_seg: 73.8924, aux.loss_ce: 0.0964, aux.acc_seg: 72.8526, loss: 0.2969 +2022-06-19 11:37:59,482 - mmseg - INFO - Saving checkpoint at 136000 iterations +2022-06-19 11:38:02,752 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 11:38:02,752 - mmseg - INFO - Iter [136000/160000] lr: 4.620e-06, eta: 1:50:24, time: 0.330, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2018, decode.acc_seg: 73.0534, aux.loss_ce: 0.0961, aux.acc_seg: 71.9894, loss: 0.2979 +2022-06-19 11:38:16,164 - mmseg - INFO - Iter [136050/160000] lr: 4.611e-06, eta: 1:50:10, time: 0.272, data_time: 0.009, memory: 56924, decode.loss_ce: 0.1841, decode.acc_seg: 74.4211, aux.loss_ce: 0.0909, aux.acc_seg: 73.2542, loss: 0.2750 +2022-06-19 11:38:29,625 - mmseg - INFO - Iter [136100/160000] lr: 4.601e-06, eta: 1:49:56, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1918, decode.acc_seg: 73.3747, aux.loss_ce: 0.0924, aux.acc_seg: 72.3933, loss: 0.2842 +2022-06-19 11:38:42,734 - mmseg - INFO - Iter [136150/160000] lr: 4.591e-06, eta: 1:49:42, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1867, decode.acc_seg: 73.8012, aux.loss_ce: 0.0909, aux.acc_seg: 72.6590, loss: 0.2776 +2022-06-19 11:38:56,046 - mmseg - INFO - Iter [136200/160000] lr: 4.582e-06, eta: 1:49:28, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2016, decode.acc_seg: 74.1236, aux.loss_ce: 0.0992, aux.acc_seg: 72.8704, loss: 0.3008 +2022-06-19 11:39:09,187 - mmseg - INFO - Iter [136250/160000] lr: 4.572e-06, eta: 1:49:14, time: 0.263, data_time: 0.003, memory: 56924, decode.loss_ce: 0.2082, decode.acc_seg: 74.5149, aux.loss_ce: 0.1011, aux.acc_seg: 73.3854, loss: 0.3093 +2022-06-19 11:39:22,551 - mmseg - INFO - Iter [136300/160000] lr: 4.563e-06, eta: 1:49:00, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2042, decode.acc_seg: 74.8030, aux.loss_ce: 0.0997, aux.acc_seg: 73.6540, loss: 0.3039 +2022-06-19 11:39:36,149 - mmseg - INFO - Iter [136350/160000] lr: 4.553e-06, eta: 1:48:47, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2033, decode.acc_seg: 74.0325, aux.loss_ce: 0.0988, aux.acc_seg: 73.0093, loss: 0.3021 +2022-06-19 11:39:49,546 - mmseg - INFO - Iter [136400/160000] lr: 4.543e-06, eta: 1:48:33, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2054, decode.acc_seg: 74.5461, aux.loss_ce: 0.1013, aux.acc_seg: 73.2615, loss: 0.3068 +2022-06-19 11:40:05,436 - mmseg - INFO - Iter [136450/160000] lr: 4.534e-06, eta: 1:48:19, time: 0.318, data_time: 0.049, memory: 56924, decode.loss_ce: 0.1990, decode.acc_seg: 75.6384, aux.loss_ce: 0.0974, aux.acc_seg: 74.4140, loss: 0.2965 +2022-06-19 11:40:18,878 - mmseg - INFO - Iter [136500/160000] lr: 4.524e-06, eta: 1:48:05, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1937, decode.acc_seg: 75.0849, aux.loss_ce: 0.0943, aux.acc_seg: 74.0201, loss: 0.2880 +2022-06-19 11:40:32,349 - mmseg - INFO - Iter [136550/160000] lr: 4.514e-06, eta: 1:47:52, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1924, decode.acc_seg: 73.5638, aux.loss_ce: 0.0937, aux.acc_seg: 72.4740, loss: 0.2861 +2022-06-19 11:40:45,994 - mmseg - INFO - Iter [136600/160000] lr: 4.505e-06, eta: 1:47:38, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1970, decode.acc_seg: 74.4369, aux.loss_ce: 0.0959, aux.acc_seg: 73.2210, loss: 0.2929 +2022-06-19 11:40:59,404 - mmseg - INFO - Iter [136650/160000] lr: 4.495e-06, eta: 1:47:24, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1912, decode.acc_seg: 75.2968, aux.loss_ce: 0.0940, aux.acc_seg: 74.0481, loss: 0.2852 +2022-06-19 11:41:12,979 - mmseg - INFO - Iter [136700/160000] lr: 4.486e-06, eta: 1:47:10, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1885, decode.acc_seg: 75.1765, aux.loss_ce: 0.0922, aux.acc_seg: 74.0465, loss: 0.2807 +2022-06-19 11:41:26,487 - mmseg - INFO - Iter [136750/160000] lr: 4.476e-06, eta: 1:46:56, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1871, decode.acc_seg: 74.7657, aux.loss_ce: 0.0906, aux.acc_seg: 73.7898, loss: 0.2777 +2022-06-19 11:41:39,770 - mmseg - INFO - Iter [136800/160000] lr: 4.466e-06, eta: 1:46:42, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1832, decode.acc_seg: 75.0963, aux.loss_ce: 0.0893, aux.acc_seg: 73.8960, loss: 0.2726 +2022-06-19 11:41:53,143 - mmseg - INFO - Iter [136850/160000] lr: 4.457e-06, eta: 1:46:28, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1916, decode.acc_seg: 73.9459, aux.loss_ce: 0.0935, aux.acc_seg: 72.8573, loss: 0.2852 +2022-06-19 11:42:06,622 - mmseg - INFO - Iter [136900/160000] lr: 4.447e-06, eta: 1:46:15, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1829, decode.acc_seg: 75.2762, aux.loss_ce: 0.0903, aux.acc_seg: 74.1475, loss: 0.2731 +2022-06-19 11:42:20,123 - mmseg - INFO - Iter [136950/160000] lr: 4.437e-06, eta: 1:46:01, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1931, decode.acc_seg: 72.7930, aux.loss_ce: 0.0936, aux.acc_seg: 71.7309, loss: 0.2867 +2022-06-19 11:42:33,748 - mmseg - INFO - Saving checkpoint at 137000 iterations +2022-06-19 11:42:36,678 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 11:42:36,678 - mmseg - INFO - Iter [137000/160000] lr: 4.428e-06, eta: 1:45:47, time: 0.331, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1946, decode.acc_seg: 74.5443, aux.loss_ce: 0.0960, aux.acc_seg: 73.3368, loss: 0.2906 +2022-06-19 11:42:51,100 - mmseg - INFO - Iter [137050/160000] lr: 4.418e-06, eta: 1:45:34, time: 0.288, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1823, decode.acc_seg: 73.4687, aux.loss_ce: 0.0893, aux.acc_seg: 72.3652, loss: 0.2716 +2022-06-19 11:43:04,839 - mmseg - INFO - Iter [137100/160000] lr: 4.409e-06, eta: 1:45:20, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2034, decode.acc_seg: 74.9761, aux.loss_ce: 0.0980, aux.acc_seg: 73.8097, loss: 0.3014 +2022-06-19 11:43:18,378 - mmseg - INFO - Iter [137150/160000] lr: 4.399e-06, eta: 1:45:06, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1947, decode.acc_seg: 73.4475, aux.loss_ce: 0.0942, aux.acc_seg: 72.3280, loss: 0.2889 +2022-06-19 11:43:31,925 - mmseg - INFO - Iter [137200/160000] lr: 4.389e-06, eta: 1:44:52, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1881, decode.acc_seg: 75.3322, aux.loss_ce: 0.0907, aux.acc_seg: 74.3776, loss: 0.2788 +2022-06-19 11:43:45,602 - mmseg - INFO - Iter [137250/160000] lr: 4.380e-06, eta: 1:44:38, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1891, decode.acc_seg: 74.7778, aux.loss_ce: 0.0924, aux.acc_seg: 73.5639, loss: 0.2815 +2022-06-19 11:43:59,011 - mmseg - INFO - Iter [137300/160000] lr: 4.370e-06, eta: 1:44:25, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1894, decode.acc_seg: 73.6915, aux.loss_ce: 0.0915, aux.acc_seg: 72.6748, loss: 0.2810 +2022-06-19 11:44:12,395 - mmseg - INFO - Iter [137350/160000] lr: 4.360e-06, eta: 1:44:11, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1864, decode.acc_seg: 74.2689, aux.loss_ce: 0.0914, aux.acc_seg: 73.1180, loss: 0.2778 +2022-06-19 11:44:25,792 - mmseg - INFO - Iter [137400/160000] lr: 4.351e-06, eta: 1:43:57, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2012, decode.acc_seg: 73.5022, aux.loss_ce: 0.0981, aux.acc_seg: 72.2893, loss: 0.2993 +2022-06-19 11:44:39,226 - mmseg - INFO - Iter [137450/160000] lr: 4.341e-06, eta: 1:43:43, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1918, decode.acc_seg: 75.5625, aux.loss_ce: 0.0949, aux.acc_seg: 74.3461, loss: 0.2866 +2022-06-19 11:44:52,778 - mmseg - INFO - Iter [137500/160000] lr: 4.332e-06, eta: 1:43:29, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1853, decode.acc_seg: 74.4528, aux.loss_ce: 0.0908, aux.acc_seg: 73.2586, loss: 0.2761 +2022-06-19 11:45:06,161 - mmseg - INFO - Iter [137550/160000] lr: 4.322e-06, eta: 1:43:15, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1817, decode.acc_seg: 74.8866, aux.loss_ce: 0.0883, aux.acc_seg: 73.8378, loss: 0.2701 +2022-06-19 11:45:19,747 - mmseg - INFO - Iter [137600/160000] lr: 4.312e-06, eta: 1:43:01, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1946, decode.acc_seg: 74.2642, aux.loss_ce: 0.0959, aux.acc_seg: 73.0076, loss: 0.2906 +2022-06-19 11:45:33,318 - mmseg - INFO - Iter [137650/160000] lr: 4.303e-06, eta: 1:42:48, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1922, decode.acc_seg: 74.5137, aux.loss_ce: 0.0942, aux.acc_seg: 73.3530, loss: 0.2864 +2022-06-19 11:45:48,909 - mmseg - INFO - Iter [137700/160000] lr: 4.293e-06, eta: 1:42:34, time: 0.312, data_time: 0.049, memory: 56924, decode.loss_ce: 0.1915, decode.acc_seg: 75.0986, aux.loss_ce: 0.0926, aux.acc_seg: 74.0086, loss: 0.2841 +2022-06-19 11:46:02,386 - mmseg - INFO - Iter [137750/160000] lr: 4.283e-06, eta: 1:42:20, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1921, decode.acc_seg: 73.4309, aux.loss_ce: 0.0930, aux.acc_seg: 72.4178, loss: 0.2851 +2022-06-19 11:46:15,704 - mmseg - INFO - Iter [137800/160000] lr: 4.274e-06, eta: 1:42:06, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1986, decode.acc_seg: 73.5097, aux.loss_ce: 0.0972, aux.acc_seg: 72.3425, loss: 0.2958 +2022-06-19 11:46:29,314 - mmseg - INFO - Iter [137850/160000] lr: 4.264e-06, eta: 1:41:53, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1873, decode.acc_seg: 73.9855, aux.loss_ce: 0.0923, aux.acc_seg: 72.8069, loss: 0.2796 +2022-06-19 11:46:43,076 - mmseg - INFO - Iter [137900/160000] lr: 4.255e-06, eta: 1:41:39, time: 0.276, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1800, decode.acc_seg: 73.5523, aux.loss_ce: 0.0884, aux.acc_seg: 72.3920, loss: 0.2685 +2022-06-19 11:46:56,156 - mmseg - INFO - Iter [137950/160000] lr: 4.245e-06, eta: 1:41:25, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1804, decode.acc_seg: 73.3654, aux.loss_ce: 0.0881, aux.acc_seg: 72.1513, loss: 0.2685 +2022-06-19 11:47:09,639 - mmseg - INFO - Saving checkpoint at 138000 iterations +2022-06-19 11:47:12,567 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 11:47:12,567 - mmseg - INFO - Iter [138000/160000] lr: 4.235e-06, eta: 1:41:11, time: 0.328, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2010, decode.acc_seg: 72.8016, aux.loss_ce: 0.0978, aux.acc_seg: 71.6264, loss: 0.2987 +2022-06-19 11:47:26,024 - mmseg - INFO - Iter [138050/160000] lr: 4.226e-06, eta: 1:40:58, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1998, decode.acc_seg: 74.8148, aux.loss_ce: 0.0988, aux.acc_seg: 73.6132, loss: 0.2986 +2022-06-19 11:47:39,467 - mmseg - INFO - Iter [138100/160000] lr: 4.216e-06, eta: 1:40:44, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1944, decode.acc_seg: 75.2373, aux.loss_ce: 0.0953, aux.acc_seg: 73.9834, loss: 0.2896 +2022-06-19 11:47:52,865 - mmseg - INFO - Iter [138150/160000] lr: 4.206e-06, eta: 1:40:30, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1968, decode.acc_seg: 73.8053, aux.loss_ce: 0.0953, aux.acc_seg: 72.6661, loss: 0.2920 +2022-06-19 11:48:06,375 - mmseg - INFO - Iter [138200/160000] lr: 4.197e-06, eta: 1:40:16, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1961, decode.acc_seg: 75.4633, aux.loss_ce: 0.0967, aux.acc_seg: 74.2350, loss: 0.2927 +2022-06-19 11:48:19,403 - mmseg - INFO - Iter [138250/160000] lr: 4.187e-06, eta: 1:40:02, time: 0.260, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1836, decode.acc_seg: 74.0330, aux.loss_ce: 0.0906, aux.acc_seg: 72.9184, loss: 0.2742 +2022-06-19 11:48:33,015 - mmseg - INFO - Iter [138300/160000] lr: 4.178e-06, eta: 1:39:48, time: 0.273, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1846, decode.acc_seg: 74.2286, aux.loss_ce: 0.0903, aux.acc_seg: 73.0803, loss: 0.2749 +2022-06-19 11:48:46,424 - mmseg - INFO - Iter [138350/160000] lr: 4.168e-06, eta: 1:39:34, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1846, decode.acc_seg: 76.0698, aux.loss_ce: 0.0909, aux.acc_seg: 75.0357, loss: 0.2755 +2022-06-19 11:48:59,782 - mmseg - INFO - Iter [138400/160000] lr: 4.158e-06, eta: 1:39:21, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1918, decode.acc_seg: 74.7060, aux.loss_ce: 0.0932, aux.acc_seg: 73.6267, loss: 0.2850 +2022-06-19 11:49:13,168 - mmseg - INFO - Iter [138450/160000] lr: 4.149e-06, eta: 1:39:07, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1882, decode.acc_seg: 74.1967, aux.loss_ce: 0.0917, aux.acc_seg: 73.0889, loss: 0.2799 +2022-06-19 11:49:26,800 - mmseg - INFO - Iter [138500/160000] lr: 4.139e-06, eta: 1:38:53, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2071, decode.acc_seg: 73.7624, aux.loss_ce: 0.1008, aux.acc_seg: 72.5419, loss: 0.3079 +2022-06-19 11:49:40,067 - mmseg - INFO - Iter [138550/160000] lr: 4.129e-06, eta: 1:38:39, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1806, decode.acc_seg: 74.3719, aux.loss_ce: 0.0871, aux.acc_seg: 73.4076, loss: 0.2676 +2022-06-19 11:49:53,544 - mmseg - INFO - Iter [138600/160000] lr: 4.120e-06, eta: 1:38:25, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2050, decode.acc_seg: 73.8028, aux.loss_ce: 0.1003, aux.acc_seg: 72.5503, loss: 0.3053 +2022-06-19 11:50:06,705 - mmseg - INFO - Iter [138650/160000] lr: 4.110e-06, eta: 1:38:11, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1943, decode.acc_seg: 73.6298, aux.loss_ce: 0.0952, aux.acc_seg: 72.4040, loss: 0.2895 +2022-06-19 11:50:20,213 - mmseg - INFO - Iter [138700/160000] lr: 4.101e-06, eta: 1:37:57, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1962, decode.acc_seg: 74.0057, aux.loss_ce: 0.0955, aux.acc_seg: 72.7619, loss: 0.2917 +2022-06-19 11:50:33,835 - mmseg - INFO - Iter [138750/160000] lr: 4.091e-06, eta: 1:37:44, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1994, decode.acc_seg: 73.4850, aux.loss_ce: 0.0976, aux.acc_seg: 72.2161, loss: 0.2970 +2022-06-19 11:50:47,456 - mmseg - INFO - Iter [138800/160000] lr: 4.081e-06, eta: 1:37:30, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1947, decode.acc_seg: 76.1488, aux.loss_ce: 0.0936, aux.acc_seg: 75.0409, loss: 0.2883 +2022-06-19 11:51:01,049 - mmseg - INFO - Iter [138850/160000] lr: 4.072e-06, eta: 1:37:16, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1955, decode.acc_seg: 73.7762, aux.loss_ce: 0.0942, aux.acc_seg: 72.7356, loss: 0.2897 +2022-06-19 11:51:14,691 - mmseg - INFO - Iter [138900/160000] lr: 4.062e-06, eta: 1:37:02, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1916, decode.acc_seg: 74.7541, aux.loss_ce: 0.0940, aux.acc_seg: 73.6066, loss: 0.2856 +2022-06-19 11:51:30,427 - mmseg - INFO - Iter [138950/160000] lr: 4.052e-06, eta: 1:36:49, time: 0.315, data_time: 0.048, memory: 56924, decode.loss_ce: 0.1931, decode.acc_seg: 74.9651, aux.loss_ce: 0.0941, aux.acc_seg: 73.8983, loss: 0.2872 +2022-06-19 11:51:44,007 - mmseg - INFO - Saving checkpoint at 139000 iterations +2022-06-19 11:51:46,920 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 11:51:46,921 - mmseg - INFO - Iter [139000/160000] lr: 4.043e-06, eta: 1:36:35, time: 0.330, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1942, decode.acc_seg: 74.5035, aux.loss_ce: 0.0948, aux.acc_seg: 73.3654, loss: 0.2890 +2022-06-19 11:52:00,635 - mmseg - INFO - Iter [139050/160000] lr: 4.033e-06, eta: 1:36:21, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2003, decode.acc_seg: 72.2033, aux.loss_ce: 0.0975, aux.acc_seg: 70.9838, loss: 0.2978 +2022-06-19 11:52:13,906 - mmseg - INFO - Iter [139100/160000] lr: 4.024e-06, eta: 1:36:08, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1894, decode.acc_seg: 74.9839, aux.loss_ce: 0.0926, aux.acc_seg: 73.9490, loss: 0.2819 +2022-06-19 11:52:27,321 - mmseg - INFO - Iter [139150/160000] lr: 4.014e-06, eta: 1:35:54, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1936, decode.acc_seg: 73.2136, aux.loss_ce: 0.0945, aux.acc_seg: 72.0360, loss: 0.2880 +2022-06-19 11:52:40,780 - mmseg - INFO - Iter [139200/160000] lr: 4.004e-06, eta: 1:35:40, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1945, decode.acc_seg: 74.3540, aux.loss_ce: 0.0927, aux.acc_seg: 73.2973, loss: 0.2872 +2022-06-19 11:52:54,163 - mmseg - INFO - Iter [139250/160000] lr: 3.995e-06, eta: 1:35:26, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1846, decode.acc_seg: 74.3496, aux.loss_ce: 0.0898, aux.acc_seg: 73.3183, loss: 0.2744 +2022-06-19 11:53:07,290 - mmseg - INFO - Iter [139300/160000] lr: 3.985e-06, eta: 1:35:12, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1814, decode.acc_seg: 75.6025, aux.loss_ce: 0.0893, aux.acc_seg: 74.4531, loss: 0.2708 +2022-06-19 11:53:20,501 - mmseg - INFO - Iter [139350/160000] lr: 3.975e-06, eta: 1:34:58, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1930, decode.acc_seg: 74.7651, aux.loss_ce: 0.0944, aux.acc_seg: 73.5979, loss: 0.2874 +2022-06-19 11:53:33,905 - mmseg - INFO - Iter [139400/160000] lr: 3.966e-06, eta: 1:34:44, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1813, decode.acc_seg: 72.6574, aux.loss_ce: 0.0894, aux.acc_seg: 71.5694, loss: 0.2707 +2022-06-19 11:53:47,558 - mmseg - INFO - Iter [139450/160000] lr: 3.956e-06, eta: 1:34:30, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1985, decode.acc_seg: 74.1533, aux.loss_ce: 0.0965, aux.acc_seg: 72.9099, loss: 0.2950 +2022-06-19 11:54:01,272 - mmseg - INFO - Iter [139500/160000] lr: 3.947e-06, eta: 1:34:17, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2033, decode.acc_seg: 73.4136, aux.loss_ce: 0.0960, aux.acc_seg: 72.4046, loss: 0.2993 +2022-06-19 11:54:14,743 - mmseg - INFO - Iter [139550/160000] lr: 3.937e-06, eta: 1:34:03, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1842, decode.acc_seg: 75.9078, aux.loss_ce: 0.0907, aux.acc_seg: 74.7041, loss: 0.2748 +2022-06-19 11:54:28,171 - mmseg - INFO - Iter [139600/160000] lr: 3.927e-06, eta: 1:33:49, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2009, decode.acc_seg: 74.7712, aux.loss_ce: 0.0967, aux.acc_seg: 73.6708, loss: 0.2976 +2022-06-19 11:54:41,562 - mmseg - INFO - Iter [139650/160000] lr: 3.918e-06, eta: 1:33:35, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1823, decode.acc_seg: 74.7292, aux.loss_ce: 0.0901, aux.acc_seg: 73.5321, loss: 0.2723 +2022-06-19 11:54:55,018 - mmseg - INFO - Iter [139700/160000] lr: 3.908e-06, eta: 1:33:21, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1939, decode.acc_seg: 75.8259, aux.loss_ce: 0.0951, aux.acc_seg: 74.6451, loss: 0.2891 +2022-06-19 11:55:08,546 - mmseg - INFO - Iter [139750/160000] lr: 3.898e-06, eta: 1:33:07, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1765, decode.acc_seg: 74.9919, aux.loss_ce: 0.0856, aux.acc_seg: 73.9281, loss: 0.2621 +2022-06-19 11:55:21,953 - mmseg - INFO - Iter [139800/160000] lr: 3.889e-06, eta: 1:32:54, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1843, decode.acc_seg: 74.1646, aux.loss_ce: 0.0902, aux.acc_seg: 73.1000, loss: 0.2745 +2022-06-19 11:55:35,195 - mmseg - INFO - Iter [139850/160000] lr: 3.879e-06, eta: 1:32:40, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1916, decode.acc_seg: 75.0654, aux.loss_ce: 0.0928, aux.acc_seg: 74.0296, loss: 0.2843 +2022-06-19 11:55:48,584 - mmseg - INFO - Iter [139900/160000] lr: 3.870e-06, eta: 1:32:26, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1894, decode.acc_seg: 74.7853, aux.loss_ce: 0.0919, aux.acc_seg: 73.6657, loss: 0.2812 +2022-06-19 11:56:02,019 - mmseg - INFO - Iter [139950/160000] lr: 3.860e-06, eta: 1:32:12, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1944, decode.acc_seg: 74.4243, aux.loss_ce: 0.0941, aux.acc_seg: 73.3156, loss: 0.2884 +2022-06-19 11:56:15,330 - mmseg - INFO - Saving checkpoint at 140000 iterations +2022-06-19 11:56:18,232 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 11:56:18,232 - mmseg - INFO - Iter [140000/160000] lr: 3.850e-06, eta: 1:31:59, time: 0.324, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1959, decode.acc_seg: 74.9834, aux.loss_ce: 0.0954, aux.acc_seg: 73.7941, loss: 0.2913 +2022-06-19 11:56:31,660 - mmseg - INFO - Iter [140050/160000] lr: 3.841e-06, eta: 1:31:45, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1951, decode.acc_seg: 74.2152, aux.loss_ce: 0.0963, aux.acc_seg: 72.9975, loss: 0.2914 +2022-06-19 11:56:45,075 - mmseg - INFO - Iter [140100/160000] lr: 3.831e-06, eta: 1:31:31, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1954, decode.acc_seg: 74.2247, aux.loss_ce: 0.0936, aux.acc_seg: 73.1186, loss: 0.2890 +2022-06-19 11:56:58,562 - mmseg - INFO - Iter [140150/160000] lr: 3.821e-06, eta: 1:31:17, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1919, decode.acc_seg: 74.1471, aux.loss_ce: 0.0952, aux.acc_seg: 72.9003, loss: 0.2870 +2022-06-19 11:57:14,181 - mmseg - INFO - Iter [140200/160000] lr: 3.812e-06, eta: 1:31:03, time: 0.312, data_time: 0.049, memory: 56924, decode.loss_ce: 0.1913, decode.acc_seg: 74.2215, aux.loss_ce: 0.0938, aux.acc_seg: 72.9988, loss: 0.2850 +2022-06-19 11:57:27,531 - mmseg - INFO - Iter [140250/160000] lr: 3.802e-06, eta: 1:30:50, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1830, decode.acc_seg: 73.0528, aux.loss_ce: 0.0913, aux.acc_seg: 71.8269, loss: 0.2743 +2022-06-19 11:57:40,961 - mmseg - INFO - Iter [140300/160000] lr: 3.793e-06, eta: 1:30:36, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1839, decode.acc_seg: 74.6102, aux.loss_ce: 0.0902, aux.acc_seg: 73.5109, loss: 0.2741 +2022-06-19 11:57:54,455 - mmseg - INFO - Iter [140350/160000] lr: 3.783e-06, eta: 1:30:22, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1931, decode.acc_seg: 74.7929, aux.loss_ce: 0.0954, aux.acc_seg: 73.6256, loss: 0.2885 +2022-06-19 11:58:07,810 - mmseg - INFO - Iter [140400/160000] lr: 3.773e-06, eta: 1:30:08, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1809, decode.acc_seg: 76.0327, aux.loss_ce: 0.0875, aux.acc_seg: 74.9823, loss: 0.2684 +2022-06-19 11:58:21,145 - mmseg - INFO - Iter [140450/160000] lr: 3.764e-06, eta: 1:29:54, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1832, decode.acc_seg: 73.6362, aux.loss_ce: 0.0902, aux.acc_seg: 72.3763, loss: 0.2734 +2022-06-19 11:58:34,621 - mmseg - INFO - Iter [140500/160000] lr: 3.754e-06, eta: 1:29:40, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1959, decode.acc_seg: 74.3312, aux.loss_ce: 0.0956, aux.acc_seg: 73.2078, loss: 0.2916 +2022-06-19 11:58:47,850 - mmseg - INFO - Iter [140550/160000] lr: 3.744e-06, eta: 1:29:26, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1810, decode.acc_seg: 74.4825, aux.loss_ce: 0.0887, aux.acc_seg: 73.3463, loss: 0.2698 +2022-06-19 11:59:01,164 - mmseg - INFO - Iter [140600/160000] lr: 3.735e-06, eta: 1:29:13, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1925, decode.acc_seg: 73.5714, aux.loss_ce: 0.0953, aux.acc_seg: 72.3991, loss: 0.2878 +2022-06-19 11:59:14,492 - mmseg - INFO - Iter [140650/160000] lr: 3.725e-06, eta: 1:28:59, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1970, decode.acc_seg: 73.9206, aux.loss_ce: 0.0964, aux.acc_seg: 72.7089, loss: 0.2935 +2022-06-19 11:59:27,912 - mmseg - INFO - Iter [140700/160000] lr: 3.716e-06, eta: 1:28:45, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1846, decode.acc_seg: 73.6515, aux.loss_ce: 0.0906, aux.acc_seg: 72.5245, loss: 0.2752 +2022-06-19 11:59:41,189 - mmseg - INFO - Iter [140750/160000] lr: 3.706e-06, eta: 1:28:31, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2023, decode.acc_seg: 75.0461, aux.loss_ce: 0.0974, aux.acc_seg: 73.9397, loss: 0.2997 +2022-06-19 11:59:54,575 - mmseg - INFO - Iter [140800/160000] lr: 3.696e-06, eta: 1:28:17, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1919, decode.acc_seg: 75.6206, aux.loss_ce: 0.0949, aux.acc_seg: 74.3706, loss: 0.2868 +2022-06-19 12:00:09,158 - mmseg - INFO - Iter [140850/160000] lr: 3.687e-06, eta: 1:28:03, time: 0.292, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1899, decode.acc_seg: 76.2241, aux.loss_ce: 0.0929, aux.acc_seg: 75.1345, loss: 0.2828 +2022-06-19 12:00:22,468 - mmseg - INFO - Iter [140900/160000] lr: 3.677e-06, eta: 1:27:50, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1793, decode.acc_seg: 73.4832, aux.loss_ce: 0.0880, aux.acc_seg: 72.4531, loss: 0.2673 +2022-06-19 12:00:36,075 - mmseg - INFO - Iter [140950/160000] lr: 3.667e-06, eta: 1:27:36, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1850, decode.acc_seg: 74.9794, aux.loss_ce: 0.0926, aux.acc_seg: 73.6989, loss: 0.2776 +2022-06-19 12:00:49,526 - mmseg - INFO - Saving checkpoint at 141000 iterations +2022-06-19 12:00:52,444 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 12:00:52,444 - mmseg - INFO - Iter [141000/160000] lr: 3.658e-06, eta: 1:27:22, time: 0.327, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1841, decode.acc_seg: 74.5619, aux.loss_ce: 0.0904, aux.acc_seg: 73.3277, loss: 0.2745 +2022-06-19 12:01:05,853 - mmseg - INFO - Iter [141050/160000] lr: 3.648e-06, eta: 1:27:09, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1884, decode.acc_seg: 74.2338, aux.loss_ce: 0.0925, aux.acc_seg: 73.0566, loss: 0.2809 +2022-06-19 12:01:19,228 - mmseg - INFO - Iter [141100/160000] lr: 3.639e-06, eta: 1:26:55, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1880, decode.acc_seg: 75.1248, aux.loss_ce: 0.0923, aux.acc_seg: 73.9883, loss: 0.2804 +2022-06-19 12:01:32,762 - mmseg - INFO - Iter [141150/160000] lr: 3.629e-06, eta: 1:26:41, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1870, decode.acc_seg: 72.1880, aux.loss_ce: 0.0910, aux.acc_seg: 71.0079, loss: 0.2780 +2022-06-19 12:01:46,197 - mmseg - INFO - Iter [141200/160000] lr: 3.619e-06, eta: 1:26:27, time: 0.269, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1924, decode.acc_seg: 74.7577, aux.loss_ce: 0.0944, aux.acc_seg: 73.5190, loss: 0.2869 +2022-06-19 12:01:59,378 - mmseg - INFO - Iter [141250/160000] lr: 3.610e-06, eta: 1:26:13, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1909, decode.acc_seg: 74.4759, aux.loss_ce: 0.0949, aux.acc_seg: 73.3392, loss: 0.2858 +2022-06-19 12:02:12,775 - mmseg - INFO - Iter [141300/160000] lr: 3.600e-06, eta: 1:25:59, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1962, decode.acc_seg: 74.1187, aux.loss_ce: 0.0957, aux.acc_seg: 72.9765, loss: 0.2919 +2022-06-19 12:02:26,121 - mmseg - INFO - Iter [141350/160000] lr: 3.590e-06, eta: 1:25:45, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1919, decode.acc_seg: 75.6320, aux.loss_ce: 0.0945, aux.acc_seg: 74.4735, loss: 0.2864 +2022-06-19 12:02:39,608 - mmseg - INFO - Iter [141400/160000] lr: 3.581e-06, eta: 1:25:32, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2007, decode.acc_seg: 75.0836, aux.loss_ce: 0.0981, aux.acc_seg: 73.9264, loss: 0.2988 +2022-06-19 12:02:53,011 - mmseg - INFO - Iter [141450/160000] lr: 3.571e-06, eta: 1:25:18, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2020, decode.acc_seg: 73.3828, aux.loss_ce: 0.0975, aux.acc_seg: 72.3040, loss: 0.2995 +2022-06-19 12:03:08,850 - mmseg - INFO - Iter [141500/160000] lr: 3.562e-06, eta: 1:25:04, time: 0.317, data_time: 0.050, memory: 56924, decode.loss_ce: 0.1872, decode.acc_seg: 73.8818, aux.loss_ce: 0.0919, aux.acc_seg: 72.7626, loss: 0.2790 +2022-06-19 12:03:22,307 - mmseg - INFO - Iter [141550/160000] lr: 3.552e-06, eta: 1:24:50, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1868, decode.acc_seg: 73.9185, aux.loss_ce: 0.0901, aux.acc_seg: 72.8940, loss: 0.2769 +2022-06-19 12:03:36,011 - mmseg - INFO - Iter [141600/160000] lr: 3.542e-06, eta: 1:24:37, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1926, decode.acc_seg: 73.4048, aux.loss_ce: 0.0946, aux.acc_seg: 72.1232, loss: 0.2872 +2022-06-19 12:03:49,452 - mmseg - INFO - Iter [141650/160000] lr: 3.533e-06, eta: 1:24:23, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1907, decode.acc_seg: 73.1173, aux.loss_ce: 0.0947, aux.acc_seg: 71.7930, loss: 0.2854 +2022-06-19 12:04:02,712 - mmseg - INFO - Iter [141700/160000] lr: 3.523e-06, eta: 1:24:09, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2054, decode.acc_seg: 76.4316, aux.loss_ce: 0.0982, aux.acc_seg: 75.3579, loss: 0.3036 +2022-06-19 12:04:16,069 - mmseg - INFO - Iter [141750/160000] lr: 3.513e-06, eta: 1:23:55, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1838, decode.acc_seg: 75.2471, aux.loss_ce: 0.0903, aux.acc_seg: 74.0105, loss: 0.2741 +2022-06-19 12:04:29,366 - mmseg - INFO - Iter [141800/160000] lr: 3.504e-06, eta: 1:23:41, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1920, decode.acc_seg: 75.8950, aux.loss_ce: 0.0931, aux.acc_seg: 74.7618, loss: 0.2851 +2022-06-19 12:04:42,688 - mmseg - INFO - Iter [141850/160000] lr: 3.494e-06, eta: 1:23:27, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1779, decode.acc_seg: 74.1818, aux.loss_ce: 0.0880, aux.acc_seg: 73.0330, loss: 0.2658 +2022-06-19 12:04:55,919 - mmseg - INFO - Iter [141900/160000] lr: 3.485e-06, eta: 1:23:13, time: 0.265, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1875, decode.acc_seg: 74.0614, aux.loss_ce: 0.0910, aux.acc_seg: 72.9366, loss: 0.2785 +2022-06-19 12:05:09,144 - mmseg - INFO - Iter [141950/160000] lr: 3.475e-06, eta: 1:23:00, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1849, decode.acc_seg: 74.2793, aux.loss_ce: 0.0910, aux.acc_seg: 73.0928, loss: 0.2759 +2022-06-19 12:05:22,527 - mmseg - INFO - Saving checkpoint at 142000 iterations +2022-06-19 12:05:25,445 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 12:05:25,445 - mmseg - INFO - Iter [142000/160000] lr: 3.465e-06, eta: 1:22:46, time: 0.326, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1824, decode.acc_seg: 75.7975, aux.loss_ce: 0.0888, aux.acc_seg: 74.7033, loss: 0.2712 +2022-06-19 12:05:38,751 - mmseg - INFO - Iter [142050/160000] lr: 3.456e-06, eta: 1:22:32, time: 0.266, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1903, decode.acc_seg: 75.4884, aux.loss_ce: 0.0937, aux.acc_seg: 74.3173, loss: 0.2839 +2022-06-19 12:05:52,145 - mmseg - INFO - Iter [142100/160000] lr: 3.446e-06, eta: 1:22:18, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1961, decode.acc_seg: 75.6642, aux.loss_ce: 0.0958, aux.acc_seg: 74.4847, loss: 0.2920 +2022-06-19 12:06:05,727 - mmseg - INFO - Iter [142150/160000] lr: 3.436e-06, eta: 1:22:05, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1968, decode.acc_seg: 74.3418, aux.loss_ce: 0.0952, aux.acc_seg: 73.1601, loss: 0.2920 +2022-06-19 12:06:19,123 - mmseg - INFO - Iter [142200/160000] lr: 3.427e-06, eta: 1:21:51, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1949, decode.acc_seg: 74.5290, aux.loss_ce: 0.0952, aux.acc_seg: 73.3931, loss: 0.2901 +2022-06-19 12:06:32,589 - mmseg - INFO - Iter [142250/160000] lr: 3.417e-06, eta: 1:21:37, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1837, decode.acc_seg: 72.9938, aux.loss_ce: 0.0900, aux.acc_seg: 71.8604, loss: 0.2737 +2022-06-19 12:06:46,079 - mmseg - INFO - Iter [142300/160000] lr: 3.408e-06, eta: 1:21:23, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1893, decode.acc_seg: 73.9351, aux.loss_ce: 0.0937, aux.acc_seg: 72.7559, loss: 0.2829 +2022-06-19 12:06:59,287 - mmseg - INFO - Iter [142350/160000] lr: 3.398e-06, eta: 1:21:09, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1817, decode.acc_seg: 74.9842, aux.loss_ce: 0.0887, aux.acc_seg: 73.8880, loss: 0.2704 +2022-06-19 12:07:12,609 - mmseg - INFO - Iter [142400/160000] lr: 3.388e-06, eta: 1:20:55, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1983, decode.acc_seg: 74.9281, aux.loss_ce: 0.0982, aux.acc_seg: 73.6322, loss: 0.2965 +2022-06-19 12:07:25,858 - mmseg - INFO - Iter [142450/160000] lr: 3.379e-06, eta: 1:20:41, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1943, decode.acc_seg: 74.3653, aux.loss_ce: 0.0958, aux.acc_seg: 73.1774, loss: 0.2901 +2022-06-19 12:07:39,518 - mmseg - INFO - Iter [142500/160000] lr: 3.369e-06, eta: 1:20:28, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1894, decode.acc_seg: 74.8786, aux.loss_ce: 0.0920, aux.acc_seg: 73.7835, loss: 0.2815 +2022-06-19 12:07:52,818 - mmseg - INFO - Iter [142550/160000] lr: 3.359e-06, eta: 1:20:14, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1805, decode.acc_seg: 74.3218, aux.loss_ce: 0.0861, aux.acc_seg: 73.4279, loss: 0.2666 +2022-06-19 12:08:06,220 - mmseg - INFO - Iter [142600/160000] lr: 3.350e-06, eta: 1:20:00, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1827, decode.acc_seg: 76.3376, aux.loss_ce: 0.0898, aux.acc_seg: 75.2579, loss: 0.2726 +2022-06-19 12:08:19,518 - mmseg - INFO - Iter [142650/160000] lr: 3.340e-06, eta: 1:19:46, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1881, decode.acc_seg: 73.1186, aux.loss_ce: 0.0931, aux.acc_seg: 71.9092, loss: 0.2812 +2022-06-19 12:08:33,198 - mmseg - INFO - Iter [142700/160000] lr: 3.330e-06, eta: 1:19:32, time: 0.273, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1880, decode.acc_seg: 75.3603, aux.loss_ce: 0.0923, aux.acc_seg: 74.3277, loss: 0.2803 +2022-06-19 12:08:48,970 - mmseg - INFO - Iter [142750/160000] lr: 3.321e-06, eta: 1:19:19, time: 0.316, data_time: 0.049, memory: 56924, decode.loss_ce: 0.1971, decode.acc_seg: 74.0349, aux.loss_ce: 0.0962, aux.acc_seg: 72.8882, loss: 0.2932 +2022-06-19 12:09:02,258 - mmseg - INFO - Iter [142800/160000] lr: 3.311e-06, eta: 1:19:05, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1931, decode.acc_seg: 74.9275, aux.loss_ce: 0.0954, aux.acc_seg: 73.7465, loss: 0.2885 +2022-06-19 12:09:15,486 - mmseg - INFO - Iter [142850/160000] lr: 3.302e-06, eta: 1:18:51, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1864, decode.acc_seg: 74.7522, aux.loss_ce: 0.0914, aux.acc_seg: 73.5948, loss: 0.2777 +2022-06-19 12:09:28,803 - mmseg - INFO - Iter [142900/160000] lr: 3.292e-06, eta: 1:18:37, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1909, decode.acc_seg: 74.2620, aux.loss_ce: 0.0930, aux.acc_seg: 73.1718, loss: 0.2840 +2022-06-19 12:09:42,048 - mmseg - INFO - Iter [142950/160000] lr: 3.282e-06, eta: 1:18:23, time: 0.265, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1940, decode.acc_seg: 75.0627, aux.loss_ce: 0.0955, aux.acc_seg: 73.8135, loss: 0.2895 +2022-06-19 12:09:55,477 - mmseg - INFO - Saving checkpoint at 143000 iterations +2022-06-19 12:09:58,441 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 12:09:58,441 - mmseg - INFO - Iter [143000/160000] lr: 3.273e-06, eta: 1:18:10, time: 0.328, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1994, decode.acc_seg: 74.2343, aux.loss_ce: 0.0986, aux.acc_seg: 72.8597, loss: 0.2980 +2022-06-19 12:10:11,735 - mmseg - INFO - Iter [143050/160000] lr: 3.263e-06, eta: 1:17:56, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1875, decode.acc_seg: 74.0158, aux.loss_ce: 0.0927, aux.acc_seg: 72.8414, loss: 0.2802 +2022-06-19 12:10:25,488 - mmseg - INFO - Iter [143100/160000] lr: 3.253e-06, eta: 1:17:42, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1860, decode.acc_seg: 74.8756, aux.loss_ce: 0.0908, aux.acc_seg: 73.7509, loss: 0.2768 +2022-06-19 12:10:39,022 - mmseg - INFO - Iter [143150/160000] lr: 3.244e-06, eta: 1:17:28, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1847, decode.acc_seg: 72.9607, aux.loss_ce: 0.0919, aux.acc_seg: 71.7793, loss: 0.2766 +2022-06-19 12:10:52,419 - mmseg - INFO - Iter [143200/160000] lr: 3.234e-06, eta: 1:17:14, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1885, decode.acc_seg: 73.9974, aux.loss_ce: 0.0934, aux.acc_seg: 72.7917, loss: 0.2819 +2022-06-19 12:11:05,959 - mmseg - INFO - Iter [143250/160000] lr: 3.225e-06, eta: 1:17:01, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1904, decode.acc_seg: 74.7241, aux.loss_ce: 0.0927, aux.acc_seg: 73.6742, loss: 0.2831 +2022-06-19 12:11:19,482 - mmseg - INFO - Iter [143300/160000] lr: 3.215e-06, eta: 1:16:47, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1993, decode.acc_seg: 74.2622, aux.loss_ce: 0.0974, aux.acc_seg: 73.0235, loss: 0.2966 +2022-06-19 12:11:32,980 - mmseg - INFO - Iter [143350/160000] lr: 3.205e-06, eta: 1:16:33, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1906, decode.acc_seg: 74.2740, aux.loss_ce: 0.0923, aux.acc_seg: 73.2652, loss: 0.2830 +2022-06-19 12:11:46,693 - mmseg - INFO - Iter [143400/160000] lr: 3.196e-06, eta: 1:16:19, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1944, decode.acc_seg: 75.3414, aux.loss_ce: 0.0944, aux.acc_seg: 74.2516, loss: 0.2888 +2022-06-19 12:12:00,122 - mmseg - INFO - Iter [143450/160000] lr: 3.186e-06, eta: 1:16:05, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1760, decode.acc_seg: 74.7653, aux.loss_ce: 0.0857, aux.acc_seg: 73.6687, loss: 0.2617 +2022-06-19 12:12:13,636 - mmseg - INFO - Iter [143500/160000] lr: 3.176e-06, eta: 1:15:52, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1908, decode.acc_seg: 73.8067, aux.loss_ce: 0.0932, aux.acc_seg: 72.8371, loss: 0.2840 +2022-06-19 12:12:26,985 - mmseg - INFO - Iter [143550/160000] lr: 3.167e-06, eta: 1:15:38, time: 0.267, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1988, decode.acc_seg: 75.0303, aux.loss_ce: 0.0967, aux.acc_seg: 73.8257, loss: 0.2955 +2022-06-19 12:12:40,212 - mmseg - INFO - Iter [143600/160000] lr: 3.157e-06, eta: 1:15:24, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1916, decode.acc_seg: 73.1514, aux.loss_ce: 0.0941, aux.acc_seg: 72.0117, loss: 0.2857 +2022-06-19 12:12:53,700 - mmseg - INFO - Iter [143650/160000] lr: 3.148e-06, eta: 1:15:10, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1933, decode.acc_seg: 74.4127, aux.loss_ce: 0.0929, aux.acc_seg: 73.4016, loss: 0.2862 +2022-06-19 12:13:07,044 - mmseg - INFO - Iter [143700/160000] lr: 3.138e-06, eta: 1:14:56, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1971, decode.acc_seg: 73.5949, aux.loss_ce: 0.0950, aux.acc_seg: 72.5310, loss: 0.2921 +2022-06-19 12:13:20,573 - mmseg - INFO - Iter [143750/160000] lr: 3.128e-06, eta: 1:14:42, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1891, decode.acc_seg: 75.8942, aux.loss_ce: 0.0933, aux.acc_seg: 74.7070, loss: 0.2824 +2022-06-19 12:13:34,036 - mmseg - INFO - Iter [143800/160000] lr: 3.119e-06, eta: 1:14:28, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1805, decode.acc_seg: 75.5524, aux.loss_ce: 0.0892, aux.acc_seg: 74.4712, loss: 0.2697 +2022-06-19 12:13:47,615 - mmseg - INFO - Iter [143850/160000] lr: 3.109e-06, eta: 1:14:15, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1953, decode.acc_seg: 73.8714, aux.loss_ce: 0.0953, aux.acc_seg: 72.7480, loss: 0.2905 +2022-06-19 12:14:01,183 - mmseg - INFO - Iter [143900/160000] lr: 3.099e-06, eta: 1:14:01, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1896, decode.acc_seg: 75.4313, aux.loss_ce: 0.0931, aux.acc_seg: 74.3189, loss: 0.2827 +2022-06-19 12:14:14,588 - mmseg - INFO - Iter [143950/160000] lr: 3.090e-06, eta: 1:13:47, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1977, decode.acc_seg: 74.5488, aux.loss_ce: 0.0973, aux.acc_seg: 73.3340, loss: 0.2951 +2022-06-19 12:14:30,088 - mmseg - INFO - Saving checkpoint at 144000 iterations +2022-06-19 12:14:33,054 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 12:14:33,054 - mmseg - INFO - Iter [144000/160000] lr: 3.080e-06, eta: 1:13:34, time: 0.369, data_time: 0.052, memory: 56924, decode.loss_ce: 0.1934, decode.acc_seg: 74.9538, aux.loss_ce: 0.0936, aux.acc_seg: 73.8293, loss: 0.2870 +2022-06-19 12:14:54,396 - mmseg - INFO - per class results: +2022-06-19 12:14:54,403 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 77.67 | 88.76 | +| building | 82.42 | 92.58 | +| sky | 94.48 | 97.48 | +| floor | 82.3 | 91.16 | +| tree | 73.95 | 88.28 | +| ceiling | 84.0 | 92.94 | +| road | 82.91 | 90.38 | +| bed | 88.24 | 95.34 | +| windowpane | 62.09 | 78.66 | +| grass | 68.73 | 84.08 | +| cabinet | 62.64 | 74.95 | +| sidewalk | 65.93 | 82.4 | +| person | 80.55 | 92.52 | +| earth | 34.87 | 49.62 | +| door | 47.63 | 58.43 | +| table | 59.63 | 76.48 | +| mountain | 56.39 | 65.05 | +| plant | 52.96 | 63.89 | +| curtain | 74.57 | 85.85 | +| chair | 55.92 | 70.4 | +| car | 83.71 | 91.32 | +| water | 55.82 | 74.69 | +| painting | 73.16 | 88.74 | +| sofa | 66.86 | 81.3 | +| shelf | 45.35 | 63.43 | +| house | 46.14 | 66.26 | +| sea | 53.75 | 69.77 | +| mirror | 67.47 | 76.98 | +| rug | 64.79 | 73.2 | +| field | 26.87 | 39.56 | +| armchair | 41.81 | 62.57 | +| seat | 62.72 | 81.66 | +| fence | 45.16 | 56.82 | +| desk | 49.52 | 69.49 | +| rock | 45.79 | 77.27 | +| wardrobe | 52.11 | 62.81 | +| lamp | 62.63 | 75.59 | +| bathtub | 77.66 | 84.95 | +| railing | 34.15 | 46.59 | +| cushion | 58.86 | 71.62 | +| base | 30.75 | 46.02 | +| box | 25.96 | 33.78 | +| column | 46.12 | 56.18 | +| signboard | 37.37 | 51.73 | +| chest of drawers | 43.22 | 62.42 | +| counter | 21.75 | 29.66 | +| sand | 52.72 | 75.07 | +| sink | 69.62 | 77.6 | +| skyscraper | 55.75 | 65.92 | +| fireplace | 76.92 | 89.28 | +| refrigerator | 75.72 | 81.48 | +| grandstand | 43.89 | 64.1 | +| path | 17.56 | 23.51 | +| stairs | 24.79 | 30.19 | +| runway | 64.91 | 86.98 | +| case | 46.94 | 60.83 | +| pool table | 92.44 | 95.66 | +| pillow | 57.71 | 69.41 | +| screen door | 67.5 | 75.9 | +| stairway | 25.69 | 37.46 | +| river | 12.87 | 24.47 | +| bridge | 59.07 | 65.88 | +| bookcase | 44.84 | 67.12 | +| blind | 32.11 | 35.61 | +| coffee table | 59.64 | 81.77 | +| toilet | 85.8 | 89.8 | +| flower | 42.09 | 54.18 | +| book | 46.59 | 63.59 | +| hill | 10.4 | 20.1 | +| bench | 41.81 | 49.62 | +| countertop | 55.08 | 73.8 | +| stove | 67.63 | 77.66 | +| palm | 51.47 | 71.01 | +| kitchen island | 34.25 | 61.13 | +| computer | 65.32 | 76.79 | +| swivel chair | 42.34 | 58.02 | +| boat | 44.31 | 49.65 | +| bar | 18.72 | 25.02 | +| arcade machine | 54.05 | 57.25 | +| hovel | 37.35 | 42.73 | +| bus | 86.82 | 96.46 | +| towel | 62.1 | 80.29 | +| light | 54.24 | 61.83 | +| truck | 28.03 | 39.29 | +| tower | 32.19 | 41.11 | +| chandelier | 67.65 | 81.7 | +| awning | 20.09 | 23.75 | +| streetlight | 25.73 | 32.22 | +| booth | 39.72 | 41.0 | +| television receiver | 68.09 | 79.63 | +| airplane | 50.85 | 65.36 | +| dirt track | 3.53 | 16.27 | +| apparel | 32.53 | 43.63 | +| pole | 26.56 | 35.08 | +| land | 2.14 | 4.05 | +| bannister | 13.33 | 17.59 | +| escalator | 39.2 | 58.52 | +| ottoman | 40.01 | 53.48 | +| bottle | 38.14 | 60.77 | +| buffet | 38.79 | 42.05 | +| poster | 22.41 | 28.48 | +| stage | 19.4 | 26.98 | +| van | 39.07 | 53.07 | +| ship | 54.92 | 78.08 | +| fountain | 30.11 | 32.08 | +| conveyer belt | 71.02 | 91.52 | +| canopy | 20.66 | 22.4 | +| washer | 74.07 | 76.51 | +| plaything | 23.3 | 36.52 | +| swimming pool | 77.4 | 86.42 | +| stool | 37.13 | 47.99 | +| barrel | 43.24 | 53.99 | +| basket | 33.66 | 46.49 | +| waterfall | 52.25 | 75.25 | +| tent | 93.38 | 98.09 | +| bag | 9.28 | 11.35 | +| minibike | 63.82 | 72.76 | +| cradle | 68.34 | 83.31 | +| oven | 46.28 | 62.98 | +| ball | 38.9 | 52.5 | +| food | 46.36 | 53.55 | +| step | 10.33 | 13.08 | +| tank | 51.71 | 53.78 | +| trade name | 28.9 | 33.09 | +| microwave | 83.62 | 89.4 | +| pot | 45.82 | 53.86 | +| animal | 53.84 | 55.66 | +| bicycle | 51.59 | 78.26 | +| lake | 59.81 | 64.94 | +| dishwasher | 61.1 | 73.49 | +| screen | 66.88 | 88.36 | +| blanket | 13.98 | 17.01 | +| sculpture | 60.58 | 81.8 | +| hood | 59.73 | 65.27 | +| sconce | 45.88 | 56.0 | +| vase | 39.98 | 56.46 | +| traffic light | 35.94 | 54.43 | +| tray | 5.19 | 7.13 | +| ashcan | 41.68 | 52.95 | +| fan | 59.45 | 77.27 | +| pier | 51.26 | 78.44 | +| crt screen | 0.23 | 0.77 | +| plate | 53.09 | 70.61 | +| monitor | 3.69 | 4.03 | +| bulletin board | 27.56 | 35.28 | +| shower | 0.94 | 2.54 | +| radiator | 59.17 | 63.89 | +| glass | 12.46 | 13.69 | +| clock | 31.69 | 39.43 | +| flag | 41.41 | 47.14 | ++---------------------+-------+-------+ +2022-06-19 12:14:54,403 - mmseg - INFO - Summary: +2022-06-19 12:14:54,403 - mmseg - INFO - ++-------+-------+------+ +| aAcc | mIoU | mAcc | ++-------+-------+------+ +| 83.06 | 48.52 | 59.9 | ++-------+-------+------+ +2022-06-19 12:14:54,405 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_deit_adapter_base_512_160k_ade20k/best_mIoU_iter_128000.pth was removed +2022-06-19 12:14:57,164 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_144000.pth. +2022-06-19 12:14:57,164 - mmseg - INFO - Best mIoU is 0.4852 at 144000 iter. +2022-06-19 12:14:57,173 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 12:14:57,173 - mmseg - INFO - Iter(val) [250] aAcc: 0.8306, mIoU: 0.4852, mAcc: 0.5990, IoU.wall: 0.7767, IoU.building: 0.8242, IoU.sky: 0.9448, IoU.floor: 0.8230, IoU.tree: 0.7395, IoU.ceiling: 0.8400, IoU.road: 0.8291, IoU.bed : 0.8824, IoU.windowpane: 0.6209, IoU.grass: 0.6873, IoU.cabinet: 0.6264, IoU.sidewalk: 0.6593, IoU.person: 0.8055, IoU.earth: 0.3487, IoU.door: 0.4763, IoU.table: 0.5963, IoU.mountain: 0.5639, IoU.plant: 0.5296, IoU.curtain: 0.7457, IoU.chair: 0.5592, IoU.car: 0.8371, IoU.water: 0.5582, IoU.painting: 0.7316, IoU.sofa: 0.6686, IoU.shelf: 0.4535, IoU.house: 0.4614, IoU.sea: 0.5375, IoU.mirror: 0.6747, IoU.rug: 0.6479, IoU.field: 0.2687, IoU.armchair: 0.4181, IoU.seat: 0.6272, IoU.fence: 0.4516, IoU.desk: 0.4952, IoU.rock: 0.4579, IoU.wardrobe: 0.5211, IoU.lamp: 0.6263, IoU.bathtub: 0.7766, IoU.railing: 0.3415, IoU.cushion: 0.5886, IoU.base: 0.3075, IoU.box: 0.2596, IoU.column: 0.4612, IoU.signboard: 0.3737, IoU.chest of drawers: 0.4322, IoU.counter: 0.2175, IoU.sand: 0.5272, IoU.sink: 0.6962, IoU.skyscraper: 0.5575, IoU.fireplace: 0.7692, IoU.refrigerator: 0.7572, IoU.grandstand: 0.4389, IoU.path: 0.1756, IoU.stairs: 0.2479, IoU.runway: 0.6491, IoU.case: 0.4694, IoU.pool table: 0.9244, IoU.pillow: 0.5771, IoU.screen door: 0.6750, IoU.stairway: 0.2569, IoU.river: 0.1287, IoU.bridge: 0.5907, IoU.bookcase: 0.4484, IoU.blind: 0.3211, IoU.coffee table: 0.5964, IoU.toilet: 0.8580, IoU.flower: 0.4209, IoU.book: 0.4659, IoU.hill: 0.1040, IoU.bench: 0.4181, IoU.countertop: 0.5508, IoU.stove: 0.6763, IoU.palm: 0.5147, IoU.kitchen island: 0.3425, IoU.computer: 0.6532, IoU.swivel chair: 0.4234, IoU.boat: 0.4431, IoU.bar: 0.1872, IoU.arcade machine: 0.5405, IoU.hovel: 0.3735, IoU.bus: 0.8682, IoU.towel: 0.6210, IoU.light: 0.5424, IoU.truck: 0.2803, IoU.tower: 0.3219, IoU.chandelier: 0.6765, IoU.awning: 0.2009, IoU.streetlight: 0.2573, IoU.booth: 0.3972, IoU.television receiver: 0.6809, IoU.airplane: 0.5085, IoU.dirt track: 0.0353, IoU.apparel: 0.3253, IoU.pole: 0.2656, IoU.land: 0.0214, IoU.bannister: 0.1333, IoU.escalator: 0.3920, IoU.ottoman: 0.4001, IoU.bottle: 0.3814, IoU.buffet: 0.3879, IoU.poster: 0.2241, IoU.stage: 0.1940, IoU.van: 0.3907, IoU.ship: 0.5492, IoU.fountain: 0.3011, IoU.conveyer belt: 0.7102, IoU.canopy: 0.2066, IoU.washer: 0.7407, IoU.plaything: 0.2330, IoU.swimming pool: 0.7740, IoU.stool: 0.3713, IoU.barrel: 0.4324, IoU.basket: 0.3366, IoU.waterfall: 0.5225, IoU.tent: 0.9338, IoU.bag: 0.0928, IoU.minibike: 0.6382, IoU.cradle: 0.6834, IoU.oven: 0.4628, IoU.ball: 0.3890, IoU.food: 0.4636, IoU.step: 0.1033, IoU.tank: 0.5171, IoU.trade name: 0.2890, IoU.microwave: 0.8362, IoU.pot: 0.4582, IoU.animal: 0.5384, IoU.bicycle: 0.5159, IoU.lake: 0.5981, IoU.dishwasher: 0.6110, IoU.screen: 0.6688, IoU.blanket: 0.1398, IoU.sculpture: 0.6058, IoU.hood: 0.5973, IoU.sconce: 0.4588, IoU.vase: 0.3998, IoU.traffic light: 0.3594, IoU.tray: 0.0519, IoU.ashcan: 0.4168, IoU.fan: 0.5945, IoU.pier: 0.5126, IoU.crt screen: 0.0023, IoU.plate: 0.5309, IoU.monitor: 0.0369, IoU.bulletin board: 0.2756, IoU.shower: 0.0094, IoU.radiator: 0.5917, IoU.glass: 0.1246, IoU.clock: 0.3169, IoU.flag: 0.4141, Acc.wall: 0.8876, Acc.building: 0.9258, Acc.sky: 0.9748, Acc.floor: 0.9116, Acc.tree: 0.8828, Acc.ceiling: 0.9294, Acc.road: 0.9038, Acc.bed : 0.9534, Acc.windowpane: 0.7866, Acc.grass: 0.8408, Acc.cabinet: 0.7495, Acc.sidewalk: 0.8240, Acc.person: 0.9252, Acc.earth: 0.4962, Acc.door: 0.5843, Acc.table: 0.7648, Acc.mountain: 0.6505, Acc.plant: 0.6389, Acc.curtain: 0.8585, Acc.chair: 0.7040, Acc.car: 0.9132, Acc.water: 0.7469, Acc.painting: 0.8874, Acc.sofa: 0.8130, Acc.shelf: 0.6343, Acc.house: 0.6626, Acc.sea: 0.6977, Acc.mirror: 0.7698, Acc.rug: 0.7320, Acc.field: 0.3956, Acc.armchair: 0.6257, Acc.seat: 0.8166, Acc.fence: 0.5682, Acc.desk: 0.6949, Acc.rock: 0.7727, Acc.wardrobe: 0.6281, Acc.lamp: 0.7559, Acc.bathtub: 0.8495, Acc.railing: 0.4659, Acc.cushion: 0.7162, Acc.base: 0.4602, Acc.box: 0.3378, Acc.column: 0.5618, Acc.signboard: 0.5173, Acc.chest of drawers: 0.6242, Acc.counter: 0.2966, Acc.sand: 0.7507, Acc.sink: 0.7760, Acc.skyscraper: 0.6592, Acc.fireplace: 0.8928, Acc.refrigerator: 0.8148, Acc.grandstand: 0.6410, Acc.path: 0.2351, Acc.stairs: 0.3019, Acc.runway: 0.8698, Acc.case: 0.6083, Acc.pool table: 0.9566, Acc.pillow: 0.6941, Acc.screen door: 0.7590, Acc.stairway: 0.3746, Acc.river: 0.2447, Acc.bridge: 0.6588, Acc.bookcase: 0.6712, Acc.blind: 0.3561, Acc.coffee table: 0.8177, Acc.toilet: 0.8980, Acc.flower: 0.5418, Acc.book: 0.6359, Acc.hill: 0.2010, Acc.bench: 0.4962, Acc.countertop: 0.7380, Acc.stove: 0.7766, Acc.palm: 0.7101, Acc.kitchen island: 0.6113, Acc.computer: 0.7679, Acc.swivel chair: 0.5802, Acc.boat: 0.4965, Acc.bar: 0.2502, Acc.arcade machine: 0.5725, Acc.hovel: 0.4273, Acc.bus: 0.9646, Acc.towel: 0.8029, Acc.light: 0.6183, Acc.truck: 0.3929, Acc.tower: 0.4111, Acc.chandelier: 0.8170, Acc.awning: 0.2375, Acc.streetlight: 0.3222, Acc.booth: 0.4100, Acc.television receiver: 0.7963, Acc.airplane: 0.6536, Acc.dirt track: 0.1627, Acc.apparel: 0.4363, Acc.pole: 0.3508, Acc.land: 0.0405, Acc.bannister: 0.1759, Acc.escalator: 0.5852, Acc.ottoman: 0.5348, Acc.bottle: 0.6077, Acc.buffet: 0.4205, Acc.poster: 0.2848, Acc.stage: 0.2698, Acc.van: 0.5307, Acc.ship: 0.7808, Acc.fountain: 0.3208, Acc.conveyer belt: 0.9152, Acc.canopy: 0.2240, Acc.washer: 0.7651, Acc.plaything: 0.3652, Acc.swimming pool: 0.8642, Acc.stool: 0.4799, Acc.barrel: 0.5399, Acc.basket: 0.4649, Acc.waterfall: 0.7525, Acc.tent: 0.9809, Acc.bag: 0.1135, Acc.minibike: 0.7276, Acc.cradle: 0.8331, Acc.oven: 0.6298, Acc.ball: 0.5250, Acc.food: 0.5355, Acc.step: 0.1308, Acc.tank: 0.5378, Acc.trade name: 0.3309, Acc.microwave: 0.8940, Acc.pot: 0.5386, Acc.animal: 0.5566, Acc.bicycle: 0.7826, Acc.lake: 0.6494, Acc.dishwasher: 0.7349, Acc.screen: 0.8836, Acc.blanket: 0.1701, Acc.sculpture: 0.8180, Acc.hood: 0.6527, Acc.sconce: 0.5600, Acc.vase: 0.5646, Acc.traffic light: 0.5443, Acc.tray: 0.0713, Acc.ashcan: 0.5295, Acc.fan: 0.7727, Acc.pier: 0.7844, Acc.crt screen: 0.0077, Acc.plate: 0.7061, Acc.monitor: 0.0403, Acc.bulletin board: 0.3528, Acc.shower: 0.0254, Acc.radiator: 0.6389, Acc.glass: 0.1369, Acc.clock: 0.3943, Acc.flag: 0.4714 +2022-06-19 12:15:10,900 - mmseg - INFO - Iter [144050/160000] lr: 3.071e-06, eta: 1:13:23, time: 0.757, data_time: 0.487, memory: 56924, decode.loss_ce: 0.1768, decode.acc_seg: 74.7852, aux.loss_ce: 0.0861, aux.acc_seg: 73.8078, loss: 0.2629 +2022-06-19 12:15:24,363 - mmseg - INFO - Iter [144100/160000] lr: 3.061e-06, eta: 1:13:09, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2040, decode.acc_seg: 75.6337, aux.loss_ce: 0.1000, aux.acc_seg: 74.4315, loss: 0.3040 +2022-06-19 12:15:37,724 - mmseg - INFO - Iter [144150/160000] lr: 3.051e-06, eta: 1:12:55, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1941, decode.acc_seg: 73.8991, aux.loss_ce: 0.0956, aux.acc_seg: 72.7628, loss: 0.2898 +2022-06-19 12:15:51,175 - mmseg - INFO - Iter [144200/160000] lr: 3.042e-06, eta: 1:12:41, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1968, decode.acc_seg: 73.8367, aux.loss_ce: 0.0965, aux.acc_seg: 72.5824, loss: 0.2933 +2022-06-19 12:16:04,810 - mmseg - INFO - Iter [144250/160000] lr: 3.032e-06, eta: 1:12:27, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1747, decode.acc_seg: 74.9927, aux.loss_ce: 0.0864, aux.acc_seg: 73.9052, loss: 0.2612 +2022-06-19 12:16:18,203 - mmseg - INFO - Iter [144300/160000] lr: 3.022e-06, eta: 1:12:13, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1923, decode.acc_seg: 74.5407, aux.loss_ce: 0.0947, aux.acc_seg: 73.4357, loss: 0.2870 +2022-06-19 12:16:31,468 - mmseg - INFO - Iter [144350/160000] lr: 3.013e-06, eta: 1:12:00, time: 0.265, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1822, decode.acc_seg: 74.3881, aux.loss_ce: 0.0893, aux.acc_seg: 73.1844, loss: 0.2715 +2022-06-19 12:16:45,105 - mmseg - INFO - Iter [144400/160000] lr: 3.003e-06, eta: 1:11:46, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1810, decode.acc_seg: 75.0794, aux.loss_ce: 0.0891, aux.acc_seg: 73.9810, loss: 0.2701 +2022-06-19 12:16:58,477 - mmseg - INFO - Iter [144450/160000] lr: 2.994e-06, eta: 1:11:32, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1845, decode.acc_seg: 74.2207, aux.loss_ce: 0.0925, aux.acc_seg: 73.0081, loss: 0.2770 +2022-06-19 12:17:11,878 - mmseg - INFO - Iter [144500/160000] lr: 2.984e-06, eta: 1:11:18, time: 0.268, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1947, decode.acc_seg: 73.5783, aux.loss_ce: 0.0942, aux.acc_seg: 72.5395, loss: 0.2890 +2022-06-19 12:17:25,242 - mmseg - INFO - Iter [144550/160000] lr: 2.974e-06, eta: 1:11:04, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1873, decode.acc_seg: 74.2822, aux.loss_ce: 0.0911, aux.acc_seg: 73.1072, loss: 0.2785 +2022-06-19 12:17:38,820 - mmseg - INFO - Iter [144600/160000] lr: 2.965e-06, eta: 1:10:50, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1941, decode.acc_seg: 75.6354, aux.loss_ce: 0.0974, aux.acc_seg: 74.3553, loss: 0.2915 +2022-06-19 12:17:52,170 - mmseg - INFO - Iter [144650/160000] lr: 2.955e-06, eta: 1:10:37, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1937, decode.acc_seg: 73.8262, aux.loss_ce: 0.0949, aux.acc_seg: 72.7062, loss: 0.2886 +2022-06-19 12:18:05,315 - mmseg - INFO - Iter [144700/160000] lr: 2.945e-06, eta: 1:10:23, time: 0.263, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1843, decode.acc_seg: 73.8728, aux.loss_ce: 0.0909, aux.acc_seg: 72.8367, loss: 0.2752 +2022-06-19 12:18:18,877 - mmseg - INFO - Iter [144750/160000] lr: 2.936e-06, eta: 1:10:09, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1944, decode.acc_seg: 75.3230, aux.loss_ce: 0.0950, aux.acc_seg: 74.2133, loss: 0.2894 +2022-06-19 12:18:32,278 - mmseg - INFO - Iter [144800/160000] lr: 2.926e-06, eta: 1:09:55, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1913, decode.acc_seg: 74.7871, aux.loss_ce: 0.0937, aux.acc_seg: 73.6349, loss: 0.2850 +2022-06-19 12:18:45,739 - mmseg - INFO - Iter [144850/160000] lr: 2.917e-06, eta: 1:09:41, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1955, decode.acc_seg: 73.9928, aux.loss_ce: 0.0949, aux.acc_seg: 72.8720, loss: 0.2904 +2022-06-19 12:18:59,104 - mmseg - INFO - Iter [144900/160000] lr: 2.907e-06, eta: 1:09:27, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1902, decode.acc_seg: 76.0566, aux.loss_ce: 0.0937, aux.acc_seg: 74.8282, loss: 0.2839 +2022-06-19 12:19:12,372 - mmseg - INFO - Iter [144950/160000] lr: 2.897e-06, eta: 1:09:13, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1899, decode.acc_seg: 74.6997, aux.loss_ce: 0.0928, aux.acc_seg: 73.5504, loss: 0.2827 +2022-06-19 12:19:25,757 - mmseg - INFO - Saving checkpoint at 145000 iterations +2022-06-19 12:19:28,681 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 12:19:28,681 - mmseg - INFO - Iter [145000/160000] lr: 2.888e-06, eta: 1:09:00, time: 0.326, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1873, decode.acc_seg: 75.6350, aux.loss_ce: 0.0916, aux.acc_seg: 74.5506, loss: 0.2789 +2022-06-19 12:19:42,137 - mmseg - INFO - Iter [145050/160000] lr: 2.878e-06, eta: 1:08:46, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1834, decode.acc_seg: 73.9984, aux.loss_ce: 0.0890, aux.acc_seg: 72.9437, loss: 0.2724 +2022-06-19 12:19:55,651 - mmseg - INFO - Iter [145100/160000] lr: 2.868e-06, eta: 1:08:32, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1961, decode.acc_seg: 73.7151, aux.loss_ce: 0.0957, aux.acc_seg: 72.5495, loss: 0.2919 +2022-06-19 12:20:08,929 - mmseg - INFO - Iter [145150/160000] lr: 2.859e-06, eta: 1:08:18, time: 0.267, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1849, decode.acc_seg: 74.5341, aux.loss_ce: 0.0920, aux.acc_seg: 73.2725, loss: 0.2769 +2022-06-19 12:20:22,443 - mmseg - INFO - Iter [145200/160000] lr: 2.849e-06, eta: 1:08:05, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1888, decode.acc_seg: 74.2603, aux.loss_ce: 0.0931, aux.acc_seg: 73.0215, loss: 0.2820 +2022-06-19 12:20:38,150 - mmseg - INFO - Iter [145250/160000] lr: 2.840e-06, eta: 1:07:51, time: 0.314, data_time: 0.050, memory: 56924, decode.loss_ce: 0.1949, decode.acc_seg: 75.2336, aux.loss_ce: 0.0945, aux.acc_seg: 74.2544, loss: 0.2894 +2022-06-19 12:20:51,503 - mmseg - INFO - Iter [145300/160000] lr: 2.830e-06, eta: 1:07:37, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1793, decode.acc_seg: 74.7528, aux.loss_ce: 0.0894, aux.acc_seg: 73.5199, loss: 0.2687 +2022-06-19 12:21:04,936 - mmseg - INFO - Iter [145350/160000] lr: 2.820e-06, eta: 1:07:23, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1916, decode.acc_seg: 74.9030, aux.loss_ce: 0.0929, aux.acc_seg: 73.7861, loss: 0.2845 +2022-06-19 12:21:18,485 - mmseg - INFO - Iter [145400/160000] lr: 2.811e-06, eta: 1:07:09, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1970, decode.acc_seg: 74.5752, aux.loss_ce: 0.0982, aux.acc_seg: 73.3752, loss: 0.2951 +2022-06-19 12:21:32,045 - mmseg - INFO - Iter [145450/160000] lr: 2.801e-06, eta: 1:06:56, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1893, decode.acc_seg: 74.5215, aux.loss_ce: 0.0934, aux.acc_seg: 73.2659, loss: 0.2827 +2022-06-19 12:21:45,479 - mmseg - INFO - Iter [145500/160000] lr: 2.791e-06, eta: 1:06:42, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1827, decode.acc_seg: 75.0220, aux.loss_ce: 0.0906, aux.acc_seg: 73.8061, loss: 0.2733 +2022-06-19 12:21:59,072 - mmseg - INFO - Iter [145550/160000] lr: 2.782e-06, eta: 1:06:28, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1785, decode.acc_seg: 73.4915, aux.loss_ce: 0.0861, aux.acc_seg: 72.4932, loss: 0.2647 +2022-06-19 12:22:12,595 - mmseg - INFO - Iter [145600/160000] lr: 2.772e-06, eta: 1:06:14, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1915, decode.acc_seg: 75.2593, aux.loss_ce: 0.0944, aux.acc_seg: 74.0640, loss: 0.2859 +2022-06-19 12:22:26,180 - mmseg - INFO - Iter [145650/160000] lr: 2.763e-06, eta: 1:06:00, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1935, decode.acc_seg: 74.1735, aux.loss_ce: 0.0949, aux.acc_seg: 73.0193, loss: 0.2884 +2022-06-19 12:22:39,614 - mmseg - INFO - Iter [145700/160000] lr: 2.753e-06, eta: 1:05:46, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1919, decode.acc_seg: 74.1061, aux.loss_ce: 0.0947, aux.acc_seg: 72.9152, loss: 0.2866 +2022-06-19 12:22:53,307 - mmseg - INFO - Iter [145750/160000] lr: 2.743e-06, eta: 1:05:33, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1869, decode.acc_seg: 73.5407, aux.loss_ce: 0.0930, aux.acc_seg: 72.3629, loss: 0.2799 +2022-06-19 12:23:06,810 - mmseg - INFO - Iter [145800/160000] lr: 2.734e-06, eta: 1:05:19, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1933, decode.acc_seg: 74.8764, aux.loss_ce: 0.0942, aux.acc_seg: 73.7752, loss: 0.2875 +2022-06-19 12:23:20,185 - mmseg - INFO - Iter [145850/160000] lr: 2.724e-06, eta: 1:05:05, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1848, decode.acc_seg: 75.5645, aux.loss_ce: 0.0919, aux.acc_seg: 74.4311, loss: 0.2766 +2022-06-19 12:23:33,655 - mmseg - INFO - Iter [145900/160000] lr: 2.714e-06, eta: 1:04:51, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1980, decode.acc_seg: 74.6232, aux.loss_ce: 0.0964, aux.acc_seg: 73.5097, loss: 0.2944 +2022-06-19 12:23:47,019 - mmseg - INFO - Iter [145950/160000] lr: 2.705e-06, eta: 1:04:37, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1870, decode.acc_seg: 75.3348, aux.loss_ce: 0.0910, aux.acc_seg: 74.3089, loss: 0.2781 +2022-06-19 12:24:00,322 - mmseg - INFO - Saving checkpoint at 146000 iterations +2022-06-19 12:24:03,349 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 12:24:03,349 - mmseg - INFO - Iter [146000/160000] lr: 2.695e-06, eta: 1:04:24, time: 0.327, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1848, decode.acc_seg: 74.6577, aux.loss_ce: 0.0909, aux.acc_seg: 73.5623, loss: 0.2757 +2022-06-19 12:24:16,906 - mmseg - INFO - Iter [146050/160000] lr: 2.686e-06, eta: 1:04:10, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1897, decode.acc_seg: 74.8103, aux.loss_ce: 0.0926, aux.acc_seg: 73.7002, loss: 0.2823 +2022-06-19 12:24:30,286 - mmseg - INFO - Iter [146100/160000] lr: 2.676e-06, eta: 1:03:56, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2009, decode.acc_seg: 74.4452, aux.loss_ce: 0.0985, aux.acc_seg: 73.3586, loss: 0.2994 +2022-06-19 12:24:43,662 - mmseg - INFO - Iter [146150/160000] lr: 2.666e-06, eta: 1:03:42, time: 0.267, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1860, decode.acc_seg: 73.8018, aux.loss_ce: 0.0903, aux.acc_seg: 72.7315, loss: 0.2763 +2022-06-19 12:24:57,247 - mmseg - INFO - Iter [146200/160000] lr: 2.657e-06, eta: 1:03:28, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1906, decode.acc_seg: 74.5458, aux.loss_ce: 0.0925, aux.acc_seg: 73.5693, loss: 0.2832 +2022-06-19 12:25:10,581 - mmseg - INFO - Iter [146250/160000] lr: 2.647e-06, eta: 1:03:15, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1767, decode.acc_seg: 73.8026, aux.loss_ce: 0.0881, aux.acc_seg: 72.4946, loss: 0.2648 +2022-06-19 12:25:24,107 - mmseg - INFO - Iter [146300/160000] lr: 2.637e-06, eta: 1:03:01, time: 0.270, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1778, decode.acc_seg: 75.2791, aux.loss_ce: 0.0860, aux.acc_seg: 74.2434, loss: 0.2638 +2022-06-19 12:25:37,428 - mmseg - INFO - Iter [146350/160000] lr: 2.628e-06, eta: 1:02:47, time: 0.267, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1866, decode.acc_seg: 75.0963, aux.loss_ce: 0.0924, aux.acc_seg: 73.8603, loss: 0.2790 +2022-06-19 12:25:50,847 - mmseg - INFO - Iter [146400/160000] lr: 2.618e-06, eta: 1:02:33, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1865, decode.acc_seg: 75.1015, aux.loss_ce: 0.0896, aux.acc_seg: 73.9571, loss: 0.2761 +2022-06-19 12:26:04,246 - mmseg - INFO - Iter [146450/160000] lr: 2.609e-06, eta: 1:02:19, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1862, decode.acc_seg: 75.7793, aux.loss_ce: 0.0906, aux.acc_seg: 74.6594, loss: 0.2768 +2022-06-19 12:26:17,717 - mmseg - INFO - Iter [146500/160000] lr: 2.599e-06, eta: 1:02:05, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1870, decode.acc_seg: 74.2479, aux.loss_ce: 0.0922, aux.acc_seg: 72.9986, loss: 0.2792 +2022-06-19 12:26:33,288 - mmseg - INFO - Iter [146550/160000] lr: 2.589e-06, eta: 1:01:52, time: 0.312, data_time: 0.050, memory: 56924, decode.loss_ce: 0.1872, decode.acc_seg: 74.1702, aux.loss_ce: 0.0913, aux.acc_seg: 73.1484, loss: 0.2785 +2022-06-19 12:26:46,741 - mmseg - INFO - Iter [146600/160000] lr: 2.580e-06, eta: 1:01:38, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1801, decode.acc_seg: 75.5809, aux.loss_ce: 0.0874, aux.acc_seg: 74.5199, loss: 0.2675 +2022-06-19 12:26:59,938 - mmseg - INFO - Iter [146650/160000] lr: 2.570e-06, eta: 1:01:24, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1873, decode.acc_seg: 74.1012, aux.loss_ce: 0.0916, aux.acc_seg: 72.9763, loss: 0.2790 +2022-06-19 12:27:13,449 - mmseg - INFO - Iter [146700/160000] lr: 2.560e-06, eta: 1:01:10, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1798, decode.acc_seg: 73.5120, aux.loss_ce: 0.0877, aux.acc_seg: 72.4219, loss: 0.2675 +2022-06-19 12:27:26,974 - mmseg - INFO - Iter [146750/160000] lr: 2.551e-06, eta: 1:00:56, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1875, decode.acc_seg: 75.7773, aux.loss_ce: 0.0916, aux.acc_seg: 74.6683, loss: 0.2791 +2022-06-19 12:27:40,562 - mmseg - INFO - Iter [146800/160000] lr: 2.541e-06, eta: 1:00:43, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1877, decode.acc_seg: 75.0890, aux.loss_ce: 0.0905, aux.acc_seg: 74.0615, loss: 0.2782 +2022-06-19 12:27:54,078 - mmseg - INFO - Iter [146850/160000] lr: 2.532e-06, eta: 1:00:29, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1782, decode.acc_seg: 73.7568, aux.loss_ce: 0.0896, aux.acc_seg: 72.5186, loss: 0.2678 +2022-06-19 12:28:07,310 - mmseg - INFO - Iter [146900/160000] lr: 2.522e-06, eta: 1:00:15, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1895, decode.acc_seg: 76.0877, aux.loss_ce: 0.0937, aux.acc_seg: 74.8694, loss: 0.2832 +2022-06-19 12:28:20,711 - mmseg - INFO - Iter [146950/160000] lr: 2.512e-06, eta: 1:00:01, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2050, decode.acc_seg: 74.5318, aux.loss_ce: 0.1017, aux.acc_seg: 73.1905, loss: 0.3067 +2022-06-19 12:28:34,123 - mmseg - INFO - Saving checkpoint at 147000 iterations +2022-06-19 12:28:37,040 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 12:28:37,040 - mmseg - INFO - Iter [147000/160000] lr: 2.503e-06, eta: 0:59:48, time: 0.327, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1821, decode.acc_seg: 74.6558, aux.loss_ce: 0.0907, aux.acc_seg: 73.5796, loss: 0.2728 +2022-06-19 12:28:50,780 - mmseg - INFO - Iter [147050/160000] lr: 2.493e-06, eta: 0:59:34, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1814, decode.acc_seg: 73.5051, aux.loss_ce: 0.0902, aux.acc_seg: 72.3017, loss: 0.2716 +2022-06-19 12:29:03,963 - mmseg - INFO - Iter [147100/160000] lr: 2.483e-06, eta: 0:59:20, time: 0.264, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1733, decode.acc_seg: 74.4793, aux.loss_ce: 0.0857, aux.acc_seg: 73.4285, loss: 0.2591 +2022-06-19 12:29:17,575 - mmseg - INFO - Iter [147150/160000] lr: 2.474e-06, eta: 0:59:06, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1844, decode.acc_seg: 73.6481, aux.loss_ce: 0.0924, aux.acc_seg: 72.4391, loss: 0.2768 +2022-06-19 12:29:30,925 - mmseg - INFO - Iter [147200/160000] lr: 2.464e-06, eta: 0:58:52, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1910, decode.acc_seg: 74.7782, aux.loss_ce: 0.0951, aux.acc_seg: 73.5257, loss: 0.2861 +2022-06-19 12:29:44,312 - mmseg - INFO - Iter [147250/160000] lr: 2.455e-06, eta: 0:58:38, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1856, decode.acc_seg: 75.6825, aux.loss_ce: 0.0923, aux.acc_seg: 74.4269, loss: 0.2779 +2022-06-19 12:29:57,827 - mmseg - INFO - Iter [147300/160000] lr: 2.445e-06, eta: 0:58:25, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1859, decode.acc_seg: 74.1742, aux.loss_ce: 0.0903, aux.acc_seg: 73.0681, loss: 0.2762 +2022-06-19 12:30:11,032 - mmseg - INFO - Iter [147350/160000] lr: 2.435e-06, eta: 0:58:11, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1849, decode.acc_seg: 75.9400, aux.loss_ce: 0.0904, aux.acc_seg: 74.8344, loss: 0.2754 +2022-06-19 12:30:24,706 - mmseg - INFO - Iter [147400/160000] lr: 2.426e-06, eta: 0:57:57, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1863, decode.acc_seg: 74.0593, aux.loss_ce: 0.0913, aux.acc_seg: 72.9820, loss: 0.2776 +2022-06-19 12:30:38,177 - mmseg - INFO - Iter [147450/160000] lr: 2.416e-06, eta: 0:57:43, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2008, decode.acc_seg: 75.5691, aux.loss_ce: 0.0976, aux.acc_seg: 74.4565, loss: 0.2984 +2022-06-19 12:30:51,613 - mmseg - INFO - Iter [147500/160000] lr: 2.406e-06, eta: 0:57:29, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1823, decode.acc_seg: 73.4983, aux.loss_ce: 0.0907, aux.acc_seg: 72.2589, loss: 0.2730 +2022-06-19 12:31:04,894 - mmseg - INFO - Iter [147550/160000] lr: 2.397e-06, eta: 0:57:15, time: 0.266, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1880, decode.acc_seg: 73.6605, aux.loss_ce: 0.0929, aux.acc_seg: 72.4641, loss: 0.2809 +2022-06-19 12:31:18,519 - mmseg - INFO - Iter [147600/160000] lr: 2.387e-06, eta: 0:57:02, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1869, decode.acc_seg: 75.1641, aux.loss_ce: 0.0915, aux.acc_seg: 74.0668, loss: 0.2784 +2022-06-19 12:31:32,164 - mmseg - INFO - Iter [147650/160000] lr: 2.378e-06, eta: 0:56:48, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1821, decode.acc_seg: 74.7142, aux.loss_ce: 0.0899, aux.acc_seg: 73.5435, loss: 0.2720 +2022-06-19 12:31:45,667 - mmseg - INFO - Iter [147700/160000] lr: 2.368e-06, eta: 0:56:34, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1681, decode.acc_seg: 74.6479, aux.loss_ce: 0.0826, aux.acc_seg: 73.6758, loss: 0.2507 +2022-06-19 12:31:59,299 - mmseg - INFO - Iter [147750/160000] lr: 2.358e-06, eta: 0:56:20, time: 0.273, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1939, decode.acc_seg: 74.0269, aux.loss_ce: 0.0966, aux.acc_seg: 72.7719, loss: 0.2905 +2022-06-19 12:32:14,927 - mmseg - INFO - Iter [147800/160000] lr: 2.349e-06, eta: 0:56:06, time: 0.313, data_time: 0.049, memory: 56924, decode.loss_ce: 0.1981, decode.acc_seg: 74.3011, aux.loss_ce: 0.0977, aux.acc_seg: 73.0373, loss: 0.2958 +2022-06-19 12:32:28,368 - mmseg - INFO - Iter [147850/160000] lr: 2.339e-06, eta: 0:55:53, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1888, decode.acc_seg: 76.0988, aux.loss_ce: 0.0930, aux.acc_seg: 74.9260, loss: 0.2818 +2022-06-19 12:32:41,979 - mmseg - INFO - Iter [147900/160000] lr: 2.329e-06, eta: 0:55:39, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1855, decode.acc_seg: 73.9961, aux.loss_ce: 0.0919, aux.acc_seg: 72.9071, loss: 0.2773 +2022-06-19 12:32:55,381 - mmseg - INFO - Iter [147950/160000] lr: 2.320e-06, eta: 0:55:25, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1828, decode.acc_seg: 73.8748, aux.loss_ce: 0.0901, aux.acc_seg: 72.7332, loss: 0.2729 +2022-06-19 12:33:08,896 - mmseg - INFO - Saving checkpoint at 148000 iterations +2022-06-19 12:33:11,816 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 12:33:11,816 - mmseg - INFO - Iter [148000/160000] lr: 2.310e-06, eta: 0:55:11, time: 0.329, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1868, decode.acc_seg: 74.0542, aux.loss_ce: 0.0917, aux.acc_seg: 72.9235, loss: 0.2785 +2022-06-19 12:33:25,244 - mmseg - INFO - Iter [148050/160000] lr: 2.301e-06, eta: 0:54:58, time: 0.269, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1764, decode.acc_seg: 74.3490, aux.loss_ce: 0.0865, aux.acc_seg: 73.3249, loss: 0.2629 +2022-06-19 12:33:38,902 - mmseg - INFO - Iter [148100/160000] lr: 2.291e-06, eta: 0:54:44, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1750, decode.acc_seg: 75.4228, aux.loss_ce: 0.0856, aux.acc_seg: 74.3641, loss: 0.2606 +2022-06-19 12:33:52,095 - mmseg - INFO - Iter [148150/160000] lr: 2.281e-06, eta: 0:54:30, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1906, decode.acc_seg: 72.5559, aux.loss_ce: 0.0940, aux.acc_seg: 71.3574, loss: 0.2846 +2022-06-19 12:34:05,157 - mmseg - INFO - Iter [148200/160000] lr: 2.272e-06, eta: 0:54:16, time: 0.261, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1827, decode.acc_seg: 74.3316, aux.loss_ce: 0.0917, aux.acc_seg: 73.1155, loss: 0.2744 +2022-06-19 12:34:18,698 - mmseg - INFO - Iter [148250/160000] lr: 2.262e-06, eta: 0:54:02, time: 0.271, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1845, decode.acc_seg: 74.6124, aux.loss_ce: 0.0904, aux.acc_seg: 73.4632, loss: 0.2748 +2022-06-19 12:34:32,151 - mmseg - INFO - Iter [148300/160000] lr: 2.252e-06, eta: 0:53:48, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1658, decode.acc_seg: 75.4769, aux.loss_ce: 0.0812, aux.acc_seg: 74.5419, loss: 0.2470 +2022-06-19 12:34:45,261 - mmseg - INFO - Iter [148350/160000] lr: 2.243e-06, eta: 0:53:35, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1794, decode.acc_seg: 74.6729, aux.loss_ce: 0.0874, aux.acc_seg: 73.5418, loss: 0.2668 +2022-06-19 12:34:58,577 - mmseg - INFO - Iter [148400/160000] lr: 2.233e-06, eta: 0:53:21, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1794, decode.acc_seg: 75.1251, aux.loss_ce: 0.0871, aux.acc_seg: 74.0357, loss: 0.2665 +2022-06-19 12:35:12,182 - mmseg - INFO - Iter [148450/160000] lr: 2.224e-06, eta: 0:53:07, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1969, decode.acc_seg: 73.9678, aux.loss_ce: 0.0971, aux.acc_seg: 72.7875, loss: 0.2939 +2022-06-19 12:35:25,371 - mmseg - INFO - Iter [148500/160000] lr: 2.214e-06, eta: 0:52:53, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1890, decode.acc_seg: 76.7481, aux.loss_ce: 0.0930, aux.acc_seg: 75.5028, loss: 0.2820 +2022-06-19 12:35:38,839 - mmseg - INFO - Iter [148550/160000] lr: 2.204e-06, eta: 0:52:39, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1767, decode.acc_seg: 74.9107, aux.loss_ce: 0.0869, aux.acc_seg: 73.8275, loss: 0.2636 +2022-06-19 12:35:52,447 - mmseg - INFO - Iter [148600/160000] lr: 2.195e-06, eta: 0:52:25, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1802, decode.acc_seg: 74.2545, aux.loss_ce: 0.0892, aux.acc_seg: 73.1285, loss: 0.2695 +2022-06-19 12:36:06,017 - mmseg - INFO - Iter [148650/160000] lr: 2.185e-06, eta: 0:52:12, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1839, decode.acc_seg: 75.9537, aux.loss_ce: 0.0922, aux.acc_seg: 74.6685, loss: 0.2761 +2022-06-19 12:36:19,591 - mmseg - INFO - Iter [148700/160000] lr: 2.175e-06, eta: 0:51:58, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1928, decode.acc_seg: 73.3380, aux.loss_ce: 0.0932, aux.acc_seg: 72.2699, loss: 0.2859 +2022-06-19 12:36:33,312 - mmseg - INFO - Iter [148750/160000] lr: 2.166e-06, eta: 0:51:44, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1912, decode.acc_seg: 73.2862, aux.loss_ce: 0.0930, aux.acc_seg: 72.1705, loss: 0.2842 +2022-06-19 12:36:46,817 - mmseg - INFO - Iter [148800/160000] lr: 2.156e-06, eta: 0:51:30, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2037, decode.acc_seg: 75.2718, aux.loss_ce: 0.1005, aux.acc_seg: 74.0642, loss: 0.3043 +2022-06-19 12:37:00,308 - mmseg - INFO - Iter [148850/160000] lr: 2.147e-06, eta: 0:51:16, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1859, decode.acc_seg: 76.2930, aux.loss_ce: 0.0928, aux.acc_seg: 75.0660, loss: 0.2787 +2022-06-19 12:37:13,852 - mmseg - INFO - Iter [148900/160000] lr: 2.137e-06, eta: 0:51:03, time: 0.271, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1783, decode.acc_seg: 74.6422, aux.loss_ce: 0.0890, aux.acc_seg: 73.4646, loss: 0.2673 +2022-06-19 12:37:27,597 - mmseg - INFO - Iter [148950/160000] lr: 2.127e-06, eta: 0:50:49, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1757, decode.acc_seg: 74.1943, aux.loss_ce: 0.0860, aux.acc_seg: 73.2256, loss: 0.2617 +2022-06-19 12:37:41,350 - mmseg - INFO - Saving checkpoint at 149000 iterations +2022-06-19 12:37:44,261 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 12:37:44,261 - mmseg - INFO - Iter [149000/160000] lr: 2.118e-06, eta: 0:50:35, time: 0.333, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1699, decode.acc_seg: 74.3318, aux.loss_ce: 0.0842, aux.acc_seg: 73.2148, loss: 0.2541 +2022-06-19 12:38:00,319 - mmseg - INFO - Iter [149050/160000] lr: 2.108e-06, eta: 0:50:22, time: 0.320, data_time: 0.051, memory: 56924, decode.loss_ce: 0.1784, decode.acc_seg: 74.2791, aux.loss_ce: 0.0897, aux.acc_seg: 72.9798, loss: 0.2681 +2022-06-19 12:38:13,862 - mmseg - INFO - Iter [149100/160000] lr: 2.098e-06, eta: 0:50:08, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1837, decode.acc_seg: 73.9410, aux.loss_ce: 0.0910, aux.acc_seg: 72.7270, loss: 0.2747 +2022-06-19 12:38:27,634 - mmseg - INFO - Iter [149150/160000] lr: 2.089e-06, eta: 0:49:54, time: 0.275, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1737, decode.acc_seg: 74.3401, aux.loss_ce: 0.0862, aux.acc_seg: 73.2488, loss: 0.2599 +2022-06-19 12:38:41,247 - mmseg - INFO - Iter [149200/160000] lr: 2.079e-06, eta: 0:49:40, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1843, decode.acc_seg: 73.5610, aux.loss_ce: 0.0901, aux.acc_seg: 72.4985, loss: 0.2744 +2022-06-19 12:38:54,510 - mmseg - INFO - Iter [149250/160000] lr: 2.070e-06, eta: 0:49:26, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1799, decode.acc_seg: 74.2692, aux.loss_ce: 0.0883, aux.acc_seg: 73.2220, loss: 0.2682 +2022-06-19 12:39:07,945 - mmseg - INFO - Iter [149300/160000] lr: 2.060e-06, eta: 0:49:12, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1915, decode.acc_seg: 74.7779, aux.loss_ce: 0.0935, aux.acc_seg: 73.6340, loss: 0.2850 +2022-06-19 12:39:21,490 - mmseg - INFO - Iter [149350/160000] lr: 2.050e-06, eta: 0:48:59, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1859, decode.acc_seg: 74.2977, aux.loss_ce: 0.0926, aux.acc_seg: 73.0986, loss: 0.2785 +2022-06-19 12:39:34,867 - mmseg - INFO - Iter [149400/160000] lr: 2.041e-06, eta: 0:48:45, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1922, decode.acc_seg: 74.2507, aux.loss_ce: 0.0944, aux.acc_seg: 73.0346, loss: 0.2866 +2022-06-19 12:39:47,991 - mmseg - INFO - Iter [149450/160000] lr: 2.031e-06, eta: 0:48:31, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1987, decode.acc_seg: 73.9341, aux.loss_ce: 0.0989, aux.acc_seg: 72.6129, loss: 0.2976 +2022-06-19 12:40:01,622 - mmseg - INFO - Iter [149500/160000] lr: 2.021e-06, eta: 0:48:17, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1877, decode.acc_seg: 73.9534, aux.loss_ce: 0.0921, aux.acc_seg: 72.7846, loss: 0.2798 +2022-06-19 12:40:14,929 - mmseg - INFO - Iter [149550/160000] lr: 2.012e-06, eta: 0:48:03, time: 0.266, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1718, decode.acc_seg: 75.0056, aux.loss_ce: 0.0843, aux.acc_seg: 73.9730, loss: 0.2561 +2022-06-19 12:40:28,571 - mmseg - INFO - Iter [149600/160000] lr: 2.002e-06, eta: 0:47:49, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1870, decode.acc_seg: 73.3846, aux.loss_ce: 0.0929, aux.acc_seg: 72.1987, loss: 0.2799 +2022-06-19 12:40:42,072 - mmseg - INFO - Iter [149650/160000] lr: 1.993e-06, eta: 0:47:36, time: 0.272, data_time: 0.006, memory: 56924, decode.loss_ce: 0.1775, decode.acc_seg: 76.0455, aux.loss_ce: 0.0880, aux.acc_seg: 74.7787, loss: 0.2655 +2022-06-19 12:40:55,753 - mmseg - INFO - Iter [149700/160000] lr: 1.983e-06, eta: 0:47:22, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1896, decode.acc_seg: 75.1831, aux.loss_ce: 0.0928, aux.acc_seg: 74.0551, loss: 0.2824 +2022-06-19 12:41:09,414 - mmseg - INFO - Iter [149750/160000] lr: 1.973e-06, eta: 0:47:08, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1773, decode.acc_seg: 74.2582, aux.loss_ce: 0.0854, aux.acc_seg: 73.3524, loss: 0.2627 +2022-06-19 12:41:22,828 - mmseg - INFO - Iter [149800/160000] lr: 1.964e-06, eta: 0:46:54, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1900, decode.acc_seg: 74.6061, aux.loss_ce: 0.0925, aux.acc_seg: 73.4985, loss: 0.2825 +2022-06-19 12:41:36,412 - mmseg - INFO - Iter [149850/160000] lr: 1.954e-06, eta: 0:46:40, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2013, decode.acc_seg: 75.3902, aux.loss_ce: 0.0978, aux.acc_seg: 74.3020, loss: 0.2991 +2022-06-19 12:41:49,871 - mmseg - INFO - Iter [149900/160000] lr: 1.944e-06, eta: 0:46:27, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1866, decode.acc_seg: 73.8790, aux.loss_ce: 0.0914, aux.acc_seg: 72.7040, loss: 0.2780 +2022-06-19 12:42:03,091 - mmseg - INFO - Iter [149950/160000] lr: 1.935e-06, eta: 0:46:13, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1855, decode.acc_seg: 73.0124, aux.loss_ce: 0.0926, aux.acc_seg: 71.7422, loss: 0.2781 +2022-06-19 12:42:16,561 - mmseg - INFO - Saving checkpoint at 150000 iterations +2022-06-19 12:42:19,488 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 12:42:19,489 - mmseg - INFO - Iter [150000/160000] lr: 1.925e-06, eta: 0:45:59, time: 0.328, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1863, decode.acc_seg: 73.9714, aux.loss_ce: 0.0927, aux.acc_seg: 72.8392, loss: 0.2791 +2022-06-19 12:42:32,999 - mmseg - INFO - Iter [150050/160000] lr: 1.916e-06, eta: 0:45:45, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1785, decode.acc_seg: 75.6940, aux.loss_ce: 0.0875, aux.acc_seg: 74.5925, loss: 0.2660 +2022-06-19 12:42:46,446 - mmseg - INFO - Iter [150100/160000] lr: 1.906e-06, eta: 0:45:31, time: 0.269, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1850, decode.acc_seg: 74.0224, aux.loss_ce: 0.0912, aux.acc_seg: 72.8189, loss: 0.2762 +2022-06-19 12:42:59,908 - mmseg - INFO - Iter [150150/160000] lr: 1.896e-06, eta: 0:45:18, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1874, decode.acc_seg: 74.8371, aux.loss_ce: 0.0913, aux.acc_seg: 73.8020, loss: 0.2787 +2022-06-19 12:43:13,303 - mmseg - INFO - Iter [150200/160000] lr: 1.887e-06, eta: 0:45:04, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1732, decode.acc_seg: 73.7704, aux.loss_ce: 0.0851, aux.acc_seg: 72.6357, loss: 0.2583 +2022-06-19 12:43:26,520 - mmseg - INFO - Iter [150250/160000] lr: 1.877e-06, eta: 0:44:50, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1904, decode.acc_seg: 74.2997, aux.loss_ce: 0.0933, aux.acc_seg: 73.1286, loss: 0.2837 +2022-06-19 12:43:42,117 - mmseg - INFO - Iter [150300/160000] lr: 1.867e-06, eta: 0:44:36, time: 0.312, data_time: 0.048, memory: 56924, decode.loss_ce: 0.1805, decode.acc_seg: 74.8057, aux.loss_ce: 0.0892, aux.acc_seg: 73.6927, loss: 0.2696 +2022-06-19 12:43:55,376 - mmseg - INFO - Iter [150350/160000] lr: 1.858e-06, eta: 0:44:22, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1963, decode.acc_seg: 75.5052, aux.loss_ce: 0.0974, aux.acc_seg: 74.2822, loss: 0.2937 +2022-06-19 12:44:08,997 - mmseg - INFO - Iter [150400/160000] lr: 1.848e-06, eta: 0:44:09, time: 0.272, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1731, decode.acc_seg: 73.8184, aux.loss_ce: 0.0852, aux.acc_seg: 72.7048, loss: 0.2584 +2022-06-19 12:44:22,452 - mmseg - INFO - Iter [150450/160000] lr: 1.839e-06, eta: 0:43:55, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1706, decode.acc_seg: 74.2332, aux.loss_ce: 0.0847, aux.acc_seg: 73.0469, loss: 0.2553 +2022-06-19 12:44:36,006 - mmseg - INFO - Iter [150500/160000] lr: 1.829e-06, eta: 0:43:41, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1720, decode.acc_seg: 75.6446, aux.loss_ce: 0.0847, aux.acc_seg: 74.5936, loss: 0.2567 +2022-06-19 12:44:49,400 - mmseg - INFO - Iter [150550/160000] lr: 1.819e-06, eta: 0:43:27, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1790, decode.acc_seg: 74.6460, aux.loss_ce: 0.0880, aux.acc_seg: 73.5353, loss: 0.2670 +2022-06-19 12:45:03,183 - mmseg - INFO - Iter [150600/160000] lr: 1.810e-06, eta: 0:43:13, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1809, decode.acc_seg: 74.2516, aux.loss_ce: 0.0885, aux.acc_seg: 73.2184, loss: 0.2694 +2022-06-19 12:45:16,676 - mmseg - INFO - Iter [150650/160000] lr: 1.800e-06, eta: 0:43:00, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1819, decode.acc_seg: 74.1694, aux.loss_ce: 0.0897, aux.acc_seg: 72.9421, loss: 0.2716 +2022-06-19 12:45:30,092 - mmseg - INFO - Iter [150700/160000] lr: 1.790e-06, eta: 0:42:46, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1878, decode.acc_seg: 75.3436, aux.loss_ce: 0.0917, aux.acc_seg: 74.1997, loss: 0.2795 +2022-06-19 12:45:43,727 - mmseg - INFO - Iter [150750/160000] lr: 1.781e-06, eta: 0:42:32, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1866, decode.acc_seg: 75.0864, aux.loss_ce: 0.0923, aux.acc_seg: 73.9201, loss: 0.2789 +2022-06-19 12:45:57,254 - mmseg - INFO - Iter [150800/160000] lr: 1.771e-06, eta: 0:42:18, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1900, decode.acc_seg: 74.7321, aux.loss_ce: 0.0929, aux.acc_seg: 73.5415, loss: 0.2829 +2022-06-19 12:46:10,550 - mmseg - INFO - Iter [150850/160000] lr: 1.762e-06, eta: 0:42:04, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1884, decode.acc_seg: 75.1990, aux.loss_ce: 0.0917, aux.acc_seg: 74.1180, loss: 0.2802 +2022-06-19 12:46:24,043 - mmseg - INFO - Iter [150900/160000] lr: 1.752e-06, eta: 0:41:51, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1834, decode.acc_seg: 74.1151, aux.loss_ce: 0.0901, aux.acc_seg: 72.9612, loss: 0.2735 +2022-06-19 12:46:37,747 - mmseg - INFO - Iter [150950/160000] lr: 1.742e-06, eta: 0:41:37, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1844, decode.acc_seg: 74.4354, aux.loss_ce: 0.0906, aux.acc_seg: 73.2774, loss: 0.2749 +2022-06-19 12:46:51,090 - mmseg - INFO - Saving checkpoint at 151000 iterations +2022-06-19 12:46:54,023 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 12:46:54,024 - mmseg - INFO - Iter [151000/160000] lr: 1.733e-06, eta: 0:41:23, time: 0.326, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1852, decode.acc_seg: 74.6929, aux.loss_ce: 0.0914, aux.acc_seg: 73.5150, loss: 0.2766 +2022-06-19 12:47:07,529 - mmseg - INFO - Iter [151050/160000] lr: 1.723e-06, eta: 0:41:09, time: 0.270, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1821, decode.acc_seg: 73.1901, aux.loss_ce: 0.0882, aux.acc_seg: 72.1971, loss: 0.2703 +2022-06-19 12:47:20,884 - mmseg - INFO - Iter [151100/160000] lr: 1.713e-06, eta: 0:40:55, time: 0.267, data_time: 0.007, memory: 56924, decode.loss_ce: 0.1983, decode.acc_seg: 75.2778, aux.loss_ce: 0.0961, aux.acc_seg: 74.2892, loss: 0.2944 +2022-06-19 12:47:33,865 - mmseg - INFO - Iter [151150/160000] lr: 1.704e-06, eta: 0:40:42, time: 0.259, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1904, decode.acc_seg: 74.3657, aux.loss_ce: 0.0922, aux.acc_seg: 73.3582, loss: 0.2826 +2022-06-19 12:47:47,381 - mmseg - INFO - Iter [151200/160000] lr: 1.694e-06, eta: 0:40:28, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1852, decode.acc_seg: 73.9621, aux.loss_ce: 0.0914, aux.acc_seg: 72.8698, loss: 0.2766 +2022-06-19 12:48:01,112 - mmseg - INFO - Iter [151250/160000] lr: 1.685e-06, eta: 0:40:14, time: 0.274, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1870, decode.acc_seg: 74.8986, aux.loss_ce: 0.0926, aux.acc_seg: 73.7289, loss: 0.2796 +2022-06-19 12:48:14,466 - mmseg - INFO - Iter [151300/160000] lr: 1.675e-06, eta: 0:40:00, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2034, decode.acc_seg: 74.5266, aux.loss_ce: 0.0997, aux.acc_seg: 73.2999, loss: 0.3031 +2022-06-19 12:48:27,812 - mmseg - INFO - Iter [151350/160000] lr: 1.665e-06, eta: 0:39:46, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1896, decode.acc_seg: 76.8580, aux.loss_ce: 0.0937, aux.acc_seg: 75.6691, loss: 0.2833 +2022-06-19 12:48:41,202 - mmseg - INFO - Iter [151400/160000] lr: 1.656e-06, eta: 0:39:33, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1897, decode.acc_seg: 75.1721, aux.loss_ce: 0.0938, aux.acc_seg: 73.9948, loss: 0.2835 +2022-06-19 12:48:54,650 - mmseg - INFO - Iter [151450/160000] lr: 1.646e-06, eta: 0:39:19, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1948, decode.acc_seg: 72.7686, aux.loss_ce: 0.0941, aux.acc_seg: 71.6494, loss: 0.2890 +2022-06-19 12:49:08,367 - mmseg - INFO - Iter [151500/160000] lr: 1.636e-06, eta: 0:39:05, time: 0.274, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1934, decode.acc_seg: 74.9829, aux.loss_ce: 0.0960, aux.acc_seg: 73.8108, loss: 0.2894 +2022-06-19 12:49:21,667 - mmseg - INFO - Iter [151550/160000] lr: 1.627e-06, eta: 0:38:51, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1729, decode.acc_seg: 74.2084, aux.loss_ce: 0.0853, aux.acc_seg: 73.0926, loss: 0.2582 +2022-06-19 12:49:37,260 - mmseg - INFO - Iter [151600/160000] lr: 1.617e-06, eta: 0:38:37, time: 0.312, data_time: 0.048, memory: 56924, decode.loss_ce: 0.1909, decode.acc_seg: 75.3873, aux.loss_ce: 0.0941, aux.acc_seg: 74.2274, loss: 0.2850 +2022-06-19 12:49:50,940 - mmseg - INFO - Iter [151650/160000] lr: 1.608e-06, eta: 0:38:24, time: 0.274, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1805, decode.acc_seg: 74.9366, aux.loss_ce: 0.0904, aux.acc_seg: 73.7044, loss: 0.2709 +2022-06-19 12:50:04,321 - mmseg - INFO - Iter [151700/160000] lr: 1.598e-06, eta: 0:38:10, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1861, decode.acc_seg: 74.6551, aux.loss_ce: 0.0910, aux.acc_seg: 73.6080, loss: 0.2771 +2022-06-19 12:50:17,881 - mmseg - INFO - Iter [151750/160000] lr: 1.588e-06, eta: 0:37:56, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1756, decode.acc_seg: 73.9160, aux.loss_ce: 0.0881, aux.acc_seg: 72.5779, loss: 0.2637 +2022-06-19 12:50:31,061 - mmseg - INFO - Iter [151800/160000] lr: 1.579e-06, eta: 0:37:42, time: 0.263, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1858, decode.acc_seg: 73.6944, aux.loss_ce: 0.0913, aux.acc_seg: 72.6233, loss: 0.2771 +2022-06-19 12:50:44,634 - mmseg - INFO - Iter [151850/160000] lr: 1.569e-06, eta: 0:37:28, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1874, decode.acc_seg: 74.1845, aux.loss_ce: 0.0924, aux.acc_seg: 72.9859, loss: 0.2798 +2022-06-19 12:50:58,174 - mmseg - INFO - Iter [151900/160000] lr: 1.559e-06, eta: 0:37:14, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1787, decode.acc_seg: 74.1775, aux.loss_ce: 0.0882, aux.acc_seg: 73.0578, loss: 0.2669 +2022-06-19 12:51:11,722 - mmseg - INFO - Iter [151950/160000] lr: 1.550e-06, eta: 0:37:01, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1926, decode.acc_seg: 76.3168, aux.loss_ce: 0.0939, aux.acc_seg: 75.1944, loss: 0.2865 +2022-06-19 12:51:25,096 - mmseg - INFO - Saving checkpoint at 152000 iterations +2022-06-19 12:51:28,085 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 12:51:28,085 - mmseg - INFO - Iter [152000/160000] lr: 1.540e-06, eta: 0:36:47, time: 0.327, data_time: 0.006, memory: 56924, decode.loss_ce: 0.1827, decode.acc_seg: 74.9864, aux.loss_ce: 0.0900, aux.acc_seg: 73.8246, loss: 0.2727 +2022-06-19 12:51:41,999 - mmseg - INFO - Iter [152050/160000] lr: 1.531e-06, eta: 0:36:33, time: 0.279, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1957, decode.acc_seg: 73.7856, aux.loss_ce: 0.0965, aux.acc_seg: 72.5369, loss: 0.2922 +2022-06-19 12:51:55,507 - mmseg - INFO - Iter [152100/160000] lr: 1.521e-06, eta: 0:36:19, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1727, decode.acc_seg: 74.8697, aux.loss_ce: 0.0862, aux.acc_seg: 73.7720, loss: 0.2589 +2022-06-19 12:52:08,787 - mmseg - INFO - Iter [152150/160000] lr: 1.511e-06, eta: 0:36:06, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1854, decode.acc_seg: 74.3166, aux.loss_ce: 0.0902, aux.acc_seg: 73.2529, loss: 0.2756 +2022-06-19 12:52:22,198 - mmseg - INFO - Iter [152200/160000] lr: 1.502e-06, eta: 0:35:52, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1887, decode.acc_seg: 75.5841, aux.loss_ce: 0.0925, aux.acc_seg: 74.4440, loss: 0.2812 +2022-06-19 12:52:35,180 - mmseg - INFO - Iter [152250/160000] lr: 1.492e-06, eta: 0:35:38, time: 0.260, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1890, decode.acc_seg: 74.6859, aux.loss_ce: 0.0919, aux.acc_seg: 73.6113, loss: 0.2809 +2022-06-19 12:52:48,650 - mmseg - INFO - Iter [152300/160000] lr: 1.482e-06, eta: 0:35:24, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1833, decode.acc_seg: 74.1132, aux.loss_ce: 0.0911, aux.acc_seg: 72.9336, loss: 0.2743 +2022-06-19 12:53:02,451 - mmseg - INFO - Iter [152350/160000] lr: 1.473e-06, eta: 0:35:10, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1803, decode.acc_seg: 74.5533, aux.loss_ce: 0.0904, aux.acc_seg: 73.3187, loss: 0.2707 +2022-06-19 12:53:15,953 - mmseg - INFO - Iter [152400/160000] lr: 1.463e-06, eta: 0:34:57, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1805, decode.acc_seg: 74.5944, aux.loss_ce: 0.0896, aux.acc_seg: 73.3791, loss: 0.2701 +2022-06-19 12:53:29,377 - mmseg - INFO - Iter [152450/160000] lr: 1.454e-06, eta: 0:34:43, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1816, decode.acc_seg: 74.7694, aux.loss_ce: 0.0905, aux.acc_seg: 73.5538, loss: 0.2720 +2022-06-19 12:53:42,977 - mmseg - INFO - Iter [152500/160000] lr: 1.444e-06, eta: 0:34:29, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1859, decode.acc_seg: 75.1590, aux.loss_ce: 0.0925, aux.acc_seg: 73.9757, loss: 0.2783 +2022-06-19 12:53:56,356 - mmseg - INFO - Iter [152550/160000] lr: 1.434e-06, eta: 0:34:15, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1740, decode.acc_seg: 75.0353, aux.loss_ce: 0.0874, aux.acc_seg: 73.8112, loss: 0.2614 +2022-06-19 12:54:09,672 - mmseg - INFO - Iter [152600/160000] lr: 1.425e-06, eta: 0:34:01, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1878, decode.acc_seg: 74.6551, aux.loss_ce: 0.0925, aux.acc_seg: 73.4797, loss: 0.2803 +2022-06-19 12:54:23,389 - mmseg - INFO - Iter [152650/160000] lr: 1.415e-06, eta: 0:33:47, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2015, decode.acc_seg: 74.4154, aux.loss_ce: 0.0988, aux.acc_seg: 73.2406, loss: 0.3004 +2022-06-19 12:54:36,912 - mmseg - INFO - Iter [152700/160000] lr: 1.405e-06, eta: 0:33:34, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1891, decode.acc_seg: 74.8514, aux.loss_ce: 0.0938, aux.acc_seg: 73.6835, loss: 0.2829 +2022-06-19 12:54:50,307 - mmseg - INFO - Iter [152750/160000] lr: 1.396e-06, eta: 0:33:20, time: 0.268, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1885, decode.acc_seg: 76.0347, aux.loss_ce: 0.0921, aux.acc_seg: 74.8584, loss: 0.2806 +2022-06-19 12:55:03,856 - mmseg - INFO - Iter [152800/160000] lr: 1.386e-06, eta: 0:33:06, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1784, decode.acc_seg: 73.7271, aux.loss_ce: 0.0897, aux.acc_seg: 72.4815, loss: 0.2681 +2022-06-19 12:55:19,552 - mmseg - INFO - Iter [152850/160000] lr: 1.377e-06, eta: 0:32:52, time: 0.314, data_time: 0.051, memory: 56924, decode.loss_ce: 0.1919, decode.acc_seg: 76.3391, aux.loss_ce: 0.0925, aux.acc_seg: 75.1195, loss: 0.2844 +2022-06-19 12:55:32,981 - mmseg - INFO - Iter [152900/160000] lr: 1.367e-06, eta: 0:32:39, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1806, decode.acc_seg: 73.4665, aux.loss_ce: 0.0890, aux.acc_seg: 72.2868, loss: 0.2696 +2022-06-19 12:55:46,443 - mmseg - INFO - Iter [152950/160000] lr: 1.357e-06, eta: 0:32:25, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1966, decode.acc_seg: 75.1332, aux.loss_ce: 0.0948, aux.acc_seg: 73.9802, loss: 0.2914 +2022-06-19 12:56:00,007 - mmseg - INFO - Saving checkpoint at 153000 iterations +2022-06-19 12:56:02,914 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 12:56:02,914 - mmseg - INFO - Iter [153000/160000] lr: 1.348e-06, eta: 0:32:11, time: 0.330, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1886, decode.acc_seg: 74.5013, aux.loss_ce: 0.0914, aux.acc_seg: 73.4026, loss: 0.2800 +2022-06-19 12:56:16,446 - mmseg - INFO - Iter [153050/160000] lr: 1.338e-06, eta: 0:31:57, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1912, decode.acc_seg: 75.1524, aux.loss_ce: 0.0925, aux.acc_seg: 74.0629, loss: 0.2837 +2022-06-19 12:56:29,789 - mmseg - INFO - Iter [153100/160000] lr: 1.328e-06, eta: 0:31:43, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1799, decode.acc_seg: 74.5828, aux.loss_ce: 0.0901, aux.acc_seg: 73.3694, loss: 0.2701 +2022-06-19 12:56:43,136 - mmseg - INFO - Iter [153150/160000] lr: 1.319e-06, eta: 0:31:30, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1880, decode.acc_seg: 75.3450, aux.loss_ce: 0.0939, aux.acc_seg: 74.1425, loss: 0.2819 +2022-06-19 12:56:56,538 - mmseg - INFO - Iter [153200/160000] lr: 1.309e-06, eta: 0:31:16, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1785, decode.acc_seg: 74.2717, aux.loss_ce: 0.0879, aux.acc_seg: 73.1206, loss: 0.2664 +2022-06-19 12:57:09,761 - mmseg - INFO - Iter [153250/160000] lr: 1.300e-06, eta: 0:31:02, time: 0.265, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1731, decode.acc_seg: 75.4548, aux.loss_ce: 0.0854, aux.acc_seg: 74.3733, loss: 0.2585 +2022-06-19 12:57:23,338 - mmseg - INFO - Iter [153300/160000] lr: 1.290e-06, eta: 0:30:48, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1940, decode.acc_seg: 75.1183, aux.loss_ce: 0.0940, aux.acc_seg: 74.0857, loss: 0.2880 +2022-06-19 12:57:36,884 - mmseg - INFO - Iter [153350/160000] lr: 1.280e-06, eta: 0:30:34, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1793, decode.acc_seg: 73.5996, aux.loss_ce: 0.0886, aux.acc_seg: 72.4451, loss: 0.2679 +2022-06-19 12:57:50,326 - mmseg - INFO - Iter [153400/160000] lr: 1.271e-06, eta: 0:30:21, time: 0.269, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1969, decode.acc_seg: 74.7323, aux.loss_ce: 0.0968, aux.acc_seg: 73.5293, loss: 0.2936 +2022-06-19 12:58:03,757 - mmseg - INFO - Iter [153450/160000] lr: 1.261e-06, eta: 0:30:07, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1889, decode.acc_seg: 74.2861, aux.loss_ce: 0.0918, aux.acc_seg: 73.3064, loss: 0.2806 +2022-06-19 12:58:16,996 - mmseg - INFO - Iter [153500/160000] lr: 1.251e-06, eta: 0:29:53, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1820, decode.acc_seg: 75.0898, aux.loss_ce: 0.0898, aux.acc_seg: 73.8327, loss: 0.2718 +2022-06-19 12:58:30,191 - mmseg - INFO - Iter [153550/160000] lr: 1.242e-06, eta: 0:29:39, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1902, decode.acc_seg: 76.6149, aux.loss_ce: 0.0940, aux.acc_seg: 75.3869, loss: 0.2842 +2022-06-19 12:58:43,801 - mmseg - INFO - Iter [153600/160000] lr: 1.232e-06, eta: 0:29:25, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1941, decode.acc_seg: 74.7155, aux.loss_ce: 0.0938, aux.acc_seg: 73.5026, loss: 0.2879 +2022-06-19 12:58:57,105 - mmseg - INFO - Iter [153650/160000] lr: 1.223e-06, eta: 0:29:11, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1721, decode.acc_seg: 75.5849, aux.loss_ce: 0.0860, aux.acc_seg: 74.4968, loss: 0.2581 +2022-06-19 12:59:10,497 - mmseg - INFO - Iter [153700/160000] lr: 1.213e-06, eta: 0:28:58, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1789, decode.acc_seg: 75.1937, aux.loss_ce: 0.0893, aux.acc_seg: 73.9639, loss: 0.2682 +2022-06-19 12:59:24,056 - mmseg - INFO - Iter [153750/160000] lr: 1.203e-06, eta: 0:28:44, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1778, decode.acc_seg: 75.0395, aux.loss_ce: 0.0878, aux.acc_seg: 73.8905, loss: 0.2656 +2022-06-19 12:59:37,583 - mmseg - INFO - Iter [153800/160000] lr: 1.194e-06, eta: 0:28:30, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1829, decode.acc_seg: 75.6255, aux.loss_ce: 0.0906, aux.acc_seg: 74.4443, loss: 0.2735 +2022-06-19 12:59:51,014 - mmseg - INFO - Iter [153850/160000] lr: 1.184e-06, eta: 0:28:16, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1844, decode.acc_seg: 73.7160, aux.loss_ce: 0.0909, aux.acc_seg: 72.7914, loss: 0.2753 +2022-06-19 13:00:04,249 - mmseg - INFO - Iter [153900/160000] lr: 1.174e-06, eta: 0:28:02, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1863, decode.acc_seg: 74.1772, aux.loss_ce: 0.0920, aux.acc_seg: 72.9605, loss: 0.2784 +2022-06-19 13:00:17,840 - mmseg - INFO - Iter [153950/160000] lr: 1.165e-06, eta: 0:27:49, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1909, decode.acc_seg: 74.6001, aux.loss_ce: 0.0948, aux.acc_seg: 73.3799, loss: 0.2857 +2022-06-19 13:00:31,631 - mmseg - INFO - Saving checkpoint at 154000 iterations +2022-06-19 13:00:34,673 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 13:00:34,674 - mmseg - INFO - Iter [154000/160000] lr: 1.155e-06, eta: 0:27:35, time: 0.337, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1737, decode.acc_seg: 74.7519, aux.loss_ce: 0.0859, aux.acc_seg: 73.5735, loss: 0.2596 +2022-06-19 13:00:48,226 - mmseg - INFO - Iter [154050/160000] lr: 1.146e-06, eta: 0:27:21, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1831, decode.acc_seg: 75.0194, aux.loss_ce: 0.0910, aux.acc_seg: 73.8015, loss: 0.2741 +2022-06-19 13:01:03,839 - mmseg - INFO - Iter [154100/160000] lr: 1.136e-06, eta: 0:27:07, time: 0.313, data_time: 0.052, memory: 56924, decode.loss_ce: 0.1821, decode.acc_seg: 74.4053, aux.loss_ce: 0.0904, aux.acc_seg: 73.2700, loss: 0.2725 +2022-06-19 13:01:17,426 - mmseg - INFO - Iter [154150/160000] lr: 1.126e-06, eta: 0:26:54, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1784, decode.acc_seg: 74.5822, aux.loss_ce: 0.0858, aux.acc_seg: 73.5836, loss: 0.2642 +2022-06-19 13:01:30,851 - mmseg - INFO - Iter [154200/160000] lr: 1.117e-06, eta: 0:26:40, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1783, decode.acc_seg: 74.2547, aux.loss_ce: 0.0877, aux.acc_seg: 73.1575, loss: 0.2659 +2022-06-19 13:01:44,159 - mmseg - INFO - Iter [154250/160000] lr: 1.107e-06, eta: 0:26:26, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1702, decode.acc_seg: 74.2338, aux.loss_ce: 0.0841, aux.acc_seg: 73.1544, loss: 0.2543 +2022-06-19 13:01:57,333 - mmseg - INFO - Iter [154300/160000] lr: 1.097e-06, eta: 0:26:12, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1915, decode.acc_seg: 74.8562, aux.loss_ce: 0.0950, aux.acc_seg: 73.6400, loss: 0.2865 +2022-06-19 13:02:10,799 - mmseg - INFO - Iter [154350/160000] lr: 1.088e-06, eta: 0:25:58, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1898, decode.acc_seg: 73.4546, aux.loss_ce: 0.0946, aux.acc_seg: 72.1394, loss: 0.2843 +2022-06-19 13:02:24,350 - mmseg - INFO - Iter [154400/160000] lr: 1.078e-06, eta: 0:25:45, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1933, decode.acc_seg: 73.6684, aux.loss_ce: 0.0957, aux.acc_seg: 72.4056, loss: 0.2891 +2022-06-19 13:02:37,732 - mmseg - INFO - Iter [154450/160000] lr: 1.069e-06, eta: 0:25:31, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1830, decode.acc_seg: 74.9202, aux.loss_ce: 0.0900, aux.acc_seg: 73.8934, loss: 0.2730 +2022-06-19 13:02:51,198 - mmseg - INFO - Iter [154500/160000] lr: 1.059e-06, eta: 0:25:17, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1841, decode.acc_seg: 75.2087, aux.loss_ce: 0.0918, aux.acc_seg: 73.9529, loss: 0.2758 +2022-06-19 13:03:04,583 - mmseg - INFO - Iter [154550/160000] lr: 1.049e-06, eta: 0:25:03, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1708, decode.acc_seg: 75.1111, aux.loss_ce: 0.0845, aux.acc_seg: 73.9704, loss: 0.2553 +2022-06-19 13:03:17,832 - mmseg - INFO - Iter [154600/160000] lr: 1.040e-06, eta: 0:24:49, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1862, decode.acc_seg: 75.3764, aux.loss_ce: 0.0914, aux.acc_seg: 74.2203, loss: 0.2777 +2022-06-19 13:03:31,130 - mmseg - INFO - Iter [154650/160000] lr: 1.030e-06, eta: 0:24:36, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1867, decode.acc_seg: 75.0267, aux.loss_ce: 0.0919, aux.acc_seg: 73.8593, loss: 0.2786 +2022-06-19 13:03:44,458 - mmseg - INFO - Iter [154700/160000] lr: 1.020e-06, eta: 0:24:22, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1747, decode.acc_seg: 74.4245, aux.loss_ce: 0.0858, aux.acc_seg: 73.4143, loss: 0.2605 +2022-06-19 13:03:57,874 - mmseg - INFO - Iter [154750/160000] lr: 1.011e-06, eta: 0:24:08, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1797, decode.acc_seg: 75.0135, aux.loss_ce: 0.0904, aux.acc_seg: 73.7441, loss: 0.2702 +2022-06-19 13:04:11,556 - mmseg - INFO - Iter [154800/160000] lr: 1.001e-06, eta: 0:23:54, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1848, decode.acc_seg: 74.7656, aux.loss_ce: 0.0890, aux.acc_seg: 73.6382, loss: 0.2737 +2022-06-19 13:04:25,017 - mmseg - INFO - Iter [154850/160000] lr: 9.916e-07, eta: 0:23:40, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1757, decode.acc_seg: 74.2018, aux.loss_ce: 0.0867, aux.acc_seg: 73.1112, loss: 0.2624 +2022-06-19 13:04:38,711 - mmseg - INFO - Iter [154900/160000] lr: 9.820e-07, eta: 0:23:26, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1772, decode.acc_seg: 73.9547, aux.loss_ce: 0.0875, aux.acc_seg: 72.8145, loss: 0.2647 +2022-06-19 13:04:52,218 - mmseg - INFO - Iter [154950/160000] lr: 9.723e-07, eta: 0:23:13, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1845, decode.acc_seg: 75.0308, aux.loss_ce: 0.0918, aux.acc_seg: 73.8190, loss: 0.2763 +2022-06-19 13:05:05,716 - mmseg - INFO - Saving checkpoint at 155000 iterations +2022-06-19 13:05:08,614 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 13:05:08,614 - mmseg - INFO - Iter [155000/160000] lr: 9.627e-07, eta: 0:22:59, time: 0.328, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1769, decode.acc_seg: 74.4615, aux.loss_ce: 0.0884, aux.acc_seg: 73.1880, loss: 0.2653 +2022-06-19 13:05:22,402 - mmseg - INFO - Iter [155050/160000] lr: 9.531e-07, eta: 0:22:45, time: 0.276, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1760, decode.acc_seg: 75.6552, aux.loss_ce: 0.0868, aux.acc_seg: 74.5277, loss: 0.2629 +2022-06-19 13:05:36,261 - mmseg - INFO - Iter [155100/160000] lr: 9.435e-07, eta: 0:22:31, time: 0.277, data_time: 0.010, memory: 56924, decode.loss_ce: 0.1763, decode.acc_seg: 74.4099, aux.loss_ce: 0.0874, aux.acc_seg: 73.3409, loss: 0.2637 +2022-06-19 13:05:49,916 - mmseg - INFO - Iter [155150/160000] lr: 9.338e-07, eta: 0:22:18, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1764, decode.acc_seg: 74.6486, aux.loss_ce: 0.0849, aux.acc_seg: 73.7341, loss: 0.2613 +2022-06-19 13:06:03,232 - mmseg - INFO - Iter [155200/160000] lr: 9.242e-07, eta: 0:22:04, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1917, decode.acc_seg: 75.1491, aux.loss_ce: 0.0941, aux.acc_seg: 74.0006, loss: 0.2858 +2022-06-19 13:06:16,317 - mmseg - INFO - Iter [155250/160000] lr: 9.146e-07, eta: 0:21:50, time: 0.262, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1969, decode.acc_seg: 75.7759, aux.loss_ce: 0.0984, aux.acc_seg: 74.4030, loss: 0.2953 +2022-06-19 13:06:29,776 - mmseg - INFO - Iter [155300/160000] lr: 9.050e-07, eta: 0:21:36, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1851, decode.acc_seg: 73.7648, aux.loss_ce: 0.0913, aux.acc_seg: 72.5311, loss: 0.2764 +2022-06-19 13:06:45,679 - mmseg - INFO - Iter [155350/160000] lr: 8.953e-07, eta: 0:21:22, time: 0.318, data_time: 0.049, memory: 56924, decode.loss_ce: 0.1832, decode.acc_seg: 75.5213, aux.loss_ce: 0.0915, aux.acc_seg: 74.1850, loss: 0.2747 +2022-06-19 13:06:58,928 - mmseg - INFO - Iter [155400/160000] lr: 8.857e-07, eta: 0:21:09, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1840, decode.acc_seg: 74.6345, aux.loss_ce: 0.0899, aux.acc_seg: 73.5525, loss: 0.2740 +2022-06-19 13:07:12,542 - mmseg - INFO - Iter [155450/160000] lr: 8.761e-07, eta: 0:20:55, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1710, decode.acc_seg: 74.6317, aux.loss_ce: 0.0848, aux.acc_seg: 73.4976, loss: 0.2558 +2022-06-19 13:07:25,821 - mmseg - INFO - Iter [155500/160000] lr: 8.665e-07, eta: 0:20:41, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1753, decode.acc_seg: 75.5957, aux.loss_ce: 0.0861, aux.acc_seg: 74.5154, loss: 0.2614 +2022-06-19 13:07:39,264 - mmseg - INFO - Iter [155550/160000] lr: 8.568e-07, eta: 0:20:27, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1745, decode.acc_seg: 76.3028, aux.loss_ce: 0.0869, aux.acc_seg: 75.0949, loss: 0.2615 +2022-06-19 13:07:52,629 - mmseg - INFO - Iter [155600/160000] lr: 8.472e-07, eta: 0:20:13, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1806, decode.acc_seg: 76.4124, aux.loss_ce: 0.0894, aux.acc_seg: 75.2298, loss: 0.2701 +2022-06-19 13:08:05,992 - mmseg - INFO - Iter [155650/160000] lr: 8.376e-07, eta: 0:20:00, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2011, decode.acc_seg: 74.6286, aux.loss_ce: 0.0998, aux.acc_seg: 73.2627, loss: 0.3009 +2022-06-19 13:08:19,573 - mmseg - INFO - Iter [155700/160000] lr: 8.280e-07, eta: 0:19:46, time: 0.272, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1730, decode.acc_seg: 73.1320, aux.loss_ce: 0.0865, aux.acc_seg: 71.8930, loss: 0.2595 +2022-06-19 13:08:33,119 - mmseg - INFO - Iter [155750/160000] lr: 8.183e-07, eta: 0:19:32, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1914, decode.acc_seg: 74.3371, aux.loss_ce: 0.0926, aux.acc_seg: 73.2854, loss: 0.2839 +2022-06-19 13:08:46,644 - mmseg - INFO - Iter [155800/160000] lr: 8.087e-07, eta: 0:19:18, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1749, decode.acc_seg: 74.2589, aux.loss_ce: 0.0875, aux.acc_seg: 73.0782, loss: 0.2624 +2022-06-19 13:08:59,980 - mmseg - INFO - Iter [155850/160000] lr: 7.991e-07, eta: 0:19:04, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1697, decode.acc_seg: 74.3996, aux.loss_ce: 0.0837, aux.acc_seg: 73.3471, loss: 0.2534 +2022-06-19 13:09:13,283 - mmseg - INFO - Iter [155900/160000] lr: 7.895e-07, eta: 0:18:51, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1828, decode.acc_seg: 73.8146, aux.loss_ce: 0.0906, aux.acc_seg: 72.6418, loss: 0.2734 +2022-06-19 13:09:26,774 - mmseg - INFO - Iter [155950/160000] lr: 7.798e-07, eta: 0:18:37, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1898, decode.acc_seg: 74.9789, aux.loss_ce: 0.0933, aux.acc_seg: 73.8662, loss: 0.2832 +2022-06-19 13:09:40,209 - mmseg - INFO - Saving checkpoint at 156000 iterations +2022-06-19 13:09:43,211 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 13:09:43,211 - mmseg - INFO - Iter [156000/160000] lr: 7.702e-07, eta: 0:18:23, time: 0.329, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1915, decode.acc_seg: 74.1244, aux.loss_ce: 0.0943, aux.acc_seg: 72.9256, loss: 0.2858 +2022-06-19 13:09:56,529 - mmseg - INFO - Iter [156050/160000] lr: 7.606e-07, eta: 0:18:09, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1833, decode.acc_seg: 76.0015, aux.loss_ce: 0.0901, aux.acc_seg: 74.9323, loss: 0.2734 +2022-06-19 13:10:10,095 - mmseg - INFO - Iter [156100/160000] lr: 7.510e-07, eta: 0:17:55, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1745, decode.acc_seg: 75.0772, aux.loss_ce: 0.0864, aux.acc_seg: 74.0044, loss: 0.2610 +2022-06-19 13:10:23,513 - mmseg - INFO - Iter [156150/160000] lr: 7.413e-07, eta: 0:17:42, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1818, decode.acc_seg: 74.7205, aux.loss_ce: 0.0902, aux.acc_seg: 73.5074, loss: 0.2721 +2022-06-19 13:10:37,087 - mmseg - INFO - Iter [156200/160000] lr: 7.317e-07, eta: 0:17:28, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1771, decode.acc_seg: 73.7161, aux.loss_ce: 0.0867, aux.acc_seg: 72.6874, loss: 0.2639 +2022-06-19 13:10:50,865 - mmseg - INFO - Iter [156250/160000] lr: 7.221e-07, eta: 0:17:14, time: 0.275, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1712, decode.acc_seg: 73.5672, aux.loss_ce: 0.0858, aux.acc_seg: 72.4328, loss: 0.2570 +2022-06-19 13:11:04,290 - mmseg - INFO - Iter [156300/160000] lr: 7.125e-07, eta: 0:17:00, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1860, decode.acc_seg: 73.9115, aux.loss_ce: 0.0933, aux.acc_seg: 72.5842, loss: 0.2792 +2022-06-19 13:11:17,763 - mmseg - INFO - Iter [156350/160000] lr: 7.028e-07, eta: 0:16:46, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1920, decode.acc_seg: 75.5404, aux.loss_ce: 0.0947, aux.acc_seg: 74.4427, loss: 0.2867 +2022-06-19 13:11:31,478 - mmseg - INFO - Iter [156400/160000] lr: 6.932e-07, eta: 0:16:33, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1836, decode.acc_seg: 74.9217, aux.loss_ce: 0.0920, aux.acc_seg: 73.6869, loss: 0.2756 +2022-06-19 13:11:44,980 - mmseg - INFO - Iter [156450/160000] lr: 6.836e-07, eta: 0:16:19, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1815, decode.acc_seg: 74.5331, aux.loss_ce: 0.0894, aux.acc_seg: 73.3588, loss: 0.2709 +2022-06-19 13:11:58,435 - mmseg - INFO - Iter [156500/160000] lr: 6.740e-07, eta: 0:16:05, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1742, decode.acc_seg: 75.0984, aux.loss_ce: 0.0864, aux.acc_seg: 73.9179, loss: 0.2606 +2022-06-19 13:12:11,900 - mmseg - INFO - Iter [156550/160000] lr: 6.643e-07, eta: 0:15:51, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1908, decode.acc_seg: 75.8596, aux.loss_ce: 0.0918, aux.acc_seg: 74.6815, loss: 0.2827 +2022-06-19 13:12:25,189 - mmseg - INFO - Iter [156600/160000] lr: 6.547e-07, eta: 0:15:37, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1762, decode.acc_seg: 75.2882, aux.loss_ce: 0.0866, aux.acc_seg: 74.2284, loss: 0.2628 +2022-06-19 13:12:40,629 - mmseg - INFO - Iter [156650/160000] lr: 6.451e-07, eta: 0:15:24, time: 0.309, data_time: 0.048, memory: 56924, decode.loss_ce: 0.1857, decode.acc_seg: 74.7968, aux.loss_ce: 0.0929, aux.acc_seg: 73.5233, loss: 0.2786 +2022-06-19 13:12:54,210 - mmseg - INFO - Iter [156700/160000] lr: 6.355e-07, eta: 0:15:10, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1856, decode.acc_seg: 74.1360, aux.loss_ce: 0.0929, aux.acc_seg: 72.6791, loss: 0.2785 +2022-06-19 13:13:07,633 - mmseg - INFO - Iter [156750/160000] lr: 6.258e-07, eta: 0:14:56, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1996, decode.acc_seg: 76.1131, aux.loss_ce: 0.0995, aux.acc_seg: 74.7310, loss: 0.2991 +2022-06-19 13:13:21,135 - mmseg - INFO - Iter [156800/160000] lr: 6.162e-07, eta: 0:14:42, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1861, decode.acc_seg: 74.0523, aux.loss_ce: 0.0915, aux.acc_seg: 72.8532, loss: 0.2777 +2022-06-19 13:13:34,590 - mmseg - INFO - Iter [156850/160000] lr: 6.066e-07, eta: 0:14:28, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1866, decode.acc_seg: 74.9594, aux.loss_ce: 0.0927, aux.acc_seg: 73.7286, loss: 0.2793 +2022-06-19 13:13:48,144 - mmseg - INFO - Iter [156900/160000] lr: 5.970e-07, eta: 0:14:15, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1848, decode.acc_seg: 74.9115, aux.loss_ce: 0.0913, aux.acc_seg: 73.6957, loss: 0.2761 +2022-06-19 13:14:01,698 - mmseg - INFO - Iter [156950/160000] lr: 5.873e-07, eta: 0:14:01, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1784, decode.acc_seg: 73.9824, aux.loss_ce: 0.0872, aux.acc_seg: 72.9344, loss: 0.2656 +2022-06-19 13:14:15,246 - mmseg - INFO - Saving checkpoint at 157000 iterations +2022-06-19 13:14:18,139 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 13:14:18,139 - mmseg - INFO - Iter [157000/160000] lr: 5.777e-07, eta: 0:13:47, time: 0.329, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1789, decode.acc_seg: 76.0846, aux.loss_ce: 0.0894, aux.acc_seg: 74.8880, loss: 0.2683 +2022-06-19 13:14:31,839 - mmseg - INFO - Iter [157050/160000] lr: 5.681e-07, eta: 0:13:33, time: 0.274, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1754, decode.acc_seg: 74.8681, aux.loss_ce: 0.0869, aux.acc_seg: 73.8232, loss: 0.2624 +2022-06-19 13:14:45,264 - mmseg - INFO - Iter [157100/160000] lr: 5.585e-07, eta: 0:13:20, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1869, decode.acc_seg: 75.3890, aux.loss_ce: 0.0922, aux.acc_seg: 74.2470, loss: 0.2791 +2022-06-19 13:14:58,824 - mmseg - INFO - Iter [157150/160000] lr: 5.488e-07, eta: 0:13:06, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1841, decode.acc_seg: 75.3271, aux.loss_ce: 0.0921, aux.acc_seg: 74.0697, loss: 0.2763 +2022-06-19 13:15:12,183 - mmseg - INFO - Iter [157200/160000] lr: 5.392e-07, eta: 0:12:52, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1871, decode.acc_seg: 73.9508, aux.loss_ce: 0.0930, aux.acc_seg: 72.7540, loss: 0.2801 +2022-06-19 13:15:25,977 - mmseg - INFO - Iter [157250/160000] lr: 5.296e-07, eta: 0:12:38, time: 0.276, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1886, decode.acc_seg: 74.4289, aux.loss_ce: 0.0916, aux.acc_seg: 73.3796, loss: 0.2802 +2022-06-19 13:15:39,407 - mmseg - INFO - Iter [157300/160000] lr: 5.200e-07, eta: 0:12:24, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1722, decode.acc_seg: 75.7134, aux.loss_ce: 0.0866, aux.acc_seg: 74.4319, loss: 0.2588 +2022-06-19 13:15:52,983 - mmseg - INFO - Iter [157350/160000] lr: 5.103e-07, eta: 0:12:11, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1954, decode.acc_seg: 75.2842, aux.loss_ce: 0.0952, aux.acc_seg: 74.1238, loss: 0.2905 +2022-06-19 13:16:06,576 - mmseg - INFO - Iter [157400/160000] lr: 5.007e-07, eta: 0:11:57, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1923, decode.acc_seg: 73.6685, aux.loss_ce: 0.0948, aux.acc_seg: 72.4858, loss: 0.2871 +2022-06-19 13:16:20,013 - mmseg - INFO - Iter [157450/160000] lr: 4.911e-07, eta: 0:11:43, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1788, decode.acc_seg: 74.6123, aux.loss_ce: 0.0898, aux.acc_seg: 73.3840, loss: 0.2686 +2022-06-19 13:16:33,647 - mmseg - INFO - Iter [157500/160000] lr: 4.815e-07, eta: 0:11:29, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1872, decode.acc_seg: 74.6121, aux.loss_ce: 0.0942, aux.acc_seg: 73.2678, loss: 0.2814 +2022-06-19 13:16:46,999 - mmseg - INFO - Iter [157550/160000] lr: 4.718e-07, eta: 0:11:15, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1871, decode.acc_seg: 73.8044, aux.loss_ce: 0.0923, aux.acc_seg: 72.6506, loss: 0.2794 +2022-06-19 13:17:00,257 - mmseg - INFO - Iter [157600/160000] lr: 4.622e-07, eta: 0:11:02, time: 0.265, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1879, decode.acc_seg: 73.8597, aux.loss_ce: 0.0935, aux.acc_seg: 72.5319, loss: 0.2814 +2022-06-19 13:17:13,576 - mmseg - INFO - Iter [157650/160000] lr: 4.526e-07, eta: 0:10:48, time: 0.266, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1721, decode.acc_seg: 73.3942, aux.loss_ce: 0.0851, aux.acc_seg: 72.2906, loss: 0.2573 +2022-06-19 13:17:27,139 - mmseg - INFO - Iter [157700/160000] lr: 4.430e-07, eta: 0:10:34, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1820, decode.acc_seg: 75.1781, aux.loss_ce: 0.0904, aux.acc_seg: 73.9628, loss: 0.2724 +2022-06-19 13:17:40,651 - mmseg - INFO - Iter [157750/160000] lr: 4.333e-07, eta: 0:10:20, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1713, decode.acc_seg: 75.9300, aux.loss_ce: 0.0857, aux.acc_seg: 74.7227, loss: 0.2570 +2022-06-19 13:17:54,153 - mmseg - INFO - Iter [157800/160000] lr: 4.237e-07, eta: 0:10:06, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1778, decode.acc_seg: 75.1005, aux.loss_ce: 0.0876, aux.acc_seg: 73.9943, loss: 0.2654 +2022-06-19 13:18:07,863 - mmseg - INFO - Iter [157850/160000] lr: 4.141e-07, eta: 0:09:53, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1831, decode.acc_seg: 76.0427, aux.loss_ce: 0.0912, aux.acc_seg: 74.8739, loss: 0.2742 +2022-06-19 13:18:23,607 - mmseg - INFO - Iter [157900/160000] lr: 4.044e-07, eta: 0:09:39, time: 0.316, data_time: 0.052, memory: 56924, decode.loss_ce: 0.1816, decode.acc_seg: 74.7041, aux.loss_ce: 0.0893, aux.acc_seg: 73.6466, loss: 0.2709 +2022-06-19 13:18:37,404 - mmseg - INFO - Iter [157950/160000] lr: 3.948e-07, eta: 0:09:25, time: 0.276, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1791, decode.acc_seg: 74.7265, aux.loss_ce: 0.0887, aux.acc_seg: 73.5815, loss: 0.2678 +2022-06-19 13:18:51,508 - mmseg - INFO - Saving checkpoint at 158000 iterations +2022-06-19 13:18:54,409 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 13:18:54,410 - mmseg - INFO - Iter [158000/160000] lr: 3.852e-07, eta: 0:09:11, time: 0.341, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1923, decode.acc_seg: 74.1657, aux.loss_ce: 0.0949, aux.acc_seg: 72.9406, loss: 0.2873 +2022-06-19 13:19:07,930 - mmseg - INFO - Iter [158050/160000] lr: 3.756e-07, eta: 0:08:57, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1745, decode.acc_seg: 75.4563, aux.loss_ce: 0.0878, aux.acc_seg: 74.2292, loss: 0.2623 +2022-06-19 13:19:21,166 - mmseg - INFO - Iter [158100/160000] lr: 3.659e-07, eta: 0:08:44, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2003, decode.acc_seg: 74.7143, aux.loss_ce: 0.0984, aux.acc_seg: 73.5157, loss: 0.2988 +2022-06-19 13:19:34,730 - mmseg - INFO - Iter [158150/160000] lr: 3.563e-07, eta: 0:08:30, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1813, decode.acc_seg: 75.3204, aux.loss_ce: 0.0901, aux.acc_seg: 74.2240, loss: 0.2714 +2022-06-19 13:19:48,182 - mmseg - INFO - Iter [158200/160000] lr: 3.467e-07, eta: 0:08:16, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1830, decode.acc_seg: 74.5891, aux.loss_ce: 0.0914, aux.acc_seg: 73.3180, loss: 0.2744 +2022-06-19 13:20:01,593 - mmseg - INFO - Iter [158250/160000] lr: 3.371e-07, eta: 0:08:02, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1857, decode.acc_seg: 76.4424, aux.loss_ce: 0.0933, aux.acc_seg: 75.1396, loss: 0.2790 +2022-06-19 13:20:15,091 - mmseg - INFO - Iter [158300/160000] lr: 3.274e-07, eta: 0:07:48, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1896, decode.acc_seg: 75.3317, aux.loss_ce: 0.0927, aux.acc_seg: 74.2808, loss: 0.2823 +2022-06-19 13:20:28,522 - mmseg - INFO - Iter [158350/160000] lr: 3.178e-07, eta: 0:07:35, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1911, decode.acc_seg: 73.9669, aux.loss_ce: 0.0951, aux.acc_seg: 72.6750, loss: 0.2862 +2022-06-19 13:20:41,867 - mmseg - INFO - Iter [158400/160000] lr: 3.082e-07, eta: 0:07:21, time: 0.267, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1866, decode.acc_seg: 73.0944, aux.loss_ce: 0.0905, aux.acc_seg: 72.0359, loss: 0.2770 +2022-06-19 13:20:55,148 - mmseg - INFO - Iter [158450/160000] lr: 2.986e-07, eta: 0:07:07, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1867, decode.acc_seg: 74.8893, aux.loss_ce: 0.0934, aux.acc_seg: 73.6446, loss: 0.2801 +2022-06-19 13:21:08,548 - mmseg - INFO - Iter [158500/160000] lr: 2.889e-07, eta: 0:06:53, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1724, decode.acc_seg: 75.7364, aux.loss_ce: 0.0847, aux.acc_seg: 74.6919, loss: 0.2571 +2022-06-19 13:21:22,067 - mmseg - INFO - Iter [158550/160000] lr: 2.793e-07, eta: 0:06:39, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1782, decode.acc_seg: 74.4490, aux.loss_ce: 0.0881, aux.acc_seg: 73.3022, loss: 0.2663 +2022-06-19 13:21:35,565 - mmseg - INFO - Iter [158600/160000] lr: 2.697e-07, eta: 0:06:26, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1797, decode.acc_seg: 74.3332, aux.loss_ce: 0.0878, aux.acc_seg: 73.3529, loss: 0.2675 +2022-06-19 13:21:48,815 - mmseg - INFO - Iter [158650/160000] lr: 2.601e-07, eta: 0:06:12, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1844, decode.acc_seg: 75.0919, aux.loss_ce: 0.0914, aux.acc_seg: 73.8923, loss: 0.2758 +2022-06-19 13:22:02,395 - mmseg - INFO - Iter [158700/160000] lr: 2.504e-07, eta: 0:05:58, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1885, decode.acc_seg: 75.1924, aux.loss_ce: 0.0925, aux.acc_seg: 74.0595, loss: 0.2810 +2022-06-19 13:22:16,024 - mmseg - INFO - Iter [158750/160000] lr: 2.408e-07, eta: 0:05:44, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1801, decode.acc_seg: 75.3364, aux.loss_ce: 0.0905, aux.acc_seg: 74.0886, loss: 0.2706 +2022-06-19 13:22:29,243 - mmseg - INFO - Iter [158800/160000] lr: 2.312e-07, eta: 0:05:31, time: 0.265, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1790, decode.acc_seg: 74.9911, aux.loss_ce: 0.0891, aux.acc_seg: 73.7381, loss: 0.2681 +2022-06-19 13:22:42,906 - mmseg - INFO - Iter [158850/160000] lr: 2.216e-07, eta: 0:05:17, time: 0.273, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1858, decode.acc_seg: 74.2415, aux.loss_ce: 0.0898, aux.acc_seg: 73.1916, loss: 0.2757 +2022-06-19 13:22:56,351 - mmseg - INFO - Iter [158900/160000] lr: 2.119e-07, eta: 0:05:03, time: 0.269, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1840, decode.acc_seg: 76.1863, aux.loss_ce: 0.0906, aux.acc_seg: 75.0314, loss: 0.2746 +2022-06-19 13:23:09,845 - mmseg - INFO - Iter [158950/160000] lr: 2.023e-07, eta: 0:04:49, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1984, decode.acc_seg: 75.0436, aux.loss_ce: 0.0977, aux.acc_seg: 73.8003, loss: 0.2961 +2022-06-19 13:23:23,344 - mmseg - INFO - Saving checkpoint at 159000 iterations +2022-06-19 13:23:26,257 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 13:23:26,257 - mmseg - INFO - Iter [159000/160000] lr: 1.927e-07, eta: 0:04:35, time: 0.328, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1852, decode.acc_seg: 75.3992, aux.loss_ce: 0.0923, aux.acc_seg: 74.1384, loss: 0.2775 +2022-06-19 13:23:39,595 - mmseg - INFO - Iter [159050/160000] lr: 1.831e-07, eta: 0:04:22, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1811, decode.acc_seg: 74.7822, aux.loss_ce: 0.0895, aux.acc_seg: 73.5843, loss: 0.2706 +2022-06-19 13:23:52,687 - mmseg - INFO - Iter [159100/160000] lr: 1.734e-07, eta: 0:04:08, time: 0.262, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1816, decode.acc_seg: 75.3549, aux.loss_ce: 0.0893, aux.acc_seg: 74.2383, loss: 0.2709 +2022-06-19 13:24:08,689 - mmseg - INFO - Iter [159150/160000] lr: 1.638e-07, eta: 0:03:54, time: 0.320, data_time: 0.051, memory: 56924, decode.loss_ce: 0.1805, decode.acc_seg: 74.3094, aux.loss_ce: 0.0881, aux.acc_seg: 73.2116, loss: 0.2685 +2022-06-19 13:24:21,999 - mmseg - INFO - Iter [159200/160000] lr: 1.542e-07, eta: 0:03:40, time: 0.267, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1705, decode.acc_seg: 75.4813, aux.loss_ce: 0.0854, aux.acc_seg: 74.3034, loss: 0.2559 +2022-06-19 13:24:35,556 - mmseg - INFO - Iter [159250/160000] lr: 1.446e-07, eta: 0:03:26, time: 0.271, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1745, decode.acc_seg: 75.1127, aux.loss_ce: 0.0870, aux.acc_seg: 73.9184, loss: 0.2616 +2022-06-19 13:24:49,149 - mmseg - INFO - Iter [159300/160000] lr: 1.349e-07, eta: 0:03:13, time: 0.272, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1845, decode.acc_seg: 74.0165, aux.loss_ce: 0.0914, aux.acc_seg: 72.8446, loss: 0.2760 +2022-06-19 13:25:02,603 - mmseg - INFO - Iter [159350/160000] lr: 1.253e-07, eta: 0:02:59, time: 0.269, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1977, decode.acc_seg: 75.8191, aux.loss_ce: 0.0965, aux.acc_seg: 74.6035, loss: 0.2942 +2022-06-19 13:25:15,782 - mmseg - INFO - Iter [159400/160000] lr: 1.157e-07, eta: 0:02:45, time: 0.264, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1714, decode.acc_seg: 75.0500, aux.loss_ce: 0.0853, aux.acc_seg: 73.8977, loss: 0.2567 +2022-06-19 13:25:29,383 - mmseg - INFO - Iter [159450/160000] lr: 1.061e-07, eta: 0:02:31, time: 0.272, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1824, decode.acc_seg: 76.2164, aux.loss_ce: 0.0903, aux.acc_seg: 75.0221, loss: 0.2727 +2022-06-19 13:25:42,788 - mmseg - INFO - Iter [159500/160000] lr: 9.644e-08, eta: 0:02:17, time: 0.268, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1771, decode.acc_seg: 74.8019, aux.loss_ce: 0.0876, aux.acc_seg: 73.6883, loss: 0.2647 +2022-06-19 13:25:56,499 - mmseg - INFO - Iter [159550/160000] lr: 8.682e-08, eta: 0:02:04, time: 0.274, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1874, decode.acc_seg: 74.0870, aux.loss_ce: 0.0920, aux.acc_seg: 72.8536, loss: 0.2794 +2022-06-19 13:26:10,002 - mmseg - INFO - Iter [159600/160000] lr: 7.719e-08, eta: 0:01:50, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.2007, decode.acc_seg: 74.6120, aux.loss_ce: 0.0986, aux.acc_seg: 73.4931, loss: 0.2993 +2022-06-19 13:26:23,600 - mmseg - INFO - Iter [159650/160000] lr: 6.757e-08, eta: 0:01:36, time: 0.272, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1867, decode.acc_seg: 75.2844, aux.loss_ce: 0.0927, aux.acc_seg: 74.0473, loss: 0.2794 +2022-06-19 13:26:37,080 - mmseg - INFO - Iter [159700/160000] lr: 5.794e-08, eta: 0:01:22, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1900, decode.acc_seg: 73.1674, aux.loss_ce: 0.0944, aux.acc_seg: 72.0355, loss: 0.2843 +2022-06-19 13:26:50,371 - mmseg - INFO - Iter [159750/160000] lr: 4.832e-08, eta: 0:01:08, time: 0.266, data_time: 0.003, memory: 56924, decode.loss_ce: 0.1777, decode.acc_seg: 73.7618, aux.loss_ce: 0.0854, aux.acc_seg: 72.8159, loss: 0.2631 +2022-06-19 13:27:04,005 - mmseg - INFO - Iter [159800/160000] lr: 3.869e-08, eta: 0:00:55, time: 0.273, data_time: 0.005, memory: 56924, decode.loss_ce: 0.1795, decode.acc_seg: 74.8393, aux.loss_ce: 0.0888, aux.acc_seg: 73.8022, loss: 0.2683 +2022-06-19 13:27:17,310 - mmseg - INFO - Iter [159850/160000] lr: 2.907e-08, eta: 0:00:41, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1806, decode.acc_seg: 74.4927, aux.loss_ce: 0.0916, aux.acc_seg: 73.1789, loss: 0.2722 +2022-06-19 13:27:30,619 - mmseg - INFO - Iter [159900/160000] lr: 1.944e-08, eta: 0:00:27, time: 0.266, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1798, decode.acc_seg: 75.3415, aux.loss_ce: 0.0888, aux.acc_seg: 74.2121, loss: 0.2686 +2022-06-19 13:27:44,127 - mmseg - INFO - Iter [159950/160000] lr: 9.818e-09, eta: 0:00:13, time: 0.270, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1781, decode.acc_seg: 74.0100, aux.loss_ce: 0.0872, aux.acc_seg: 72.8656, loss: 0.2653 +2022-06-19 13:27:57,544 - mmseg - INFO - Saving checkpoint at 160000 iterations +2022-06-19 13:28:00,926 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 13:28:00,926 - mmseg - INFO - Iter [160000/160000] lr: 1.925e-10, eta: 0:00:00, time: 0.336, data_time: 0.004, memory: 56924, decode.loss_ce: 0.1820, decode.acc_seg: 75.7264, aux.loss_ce: 0.0892, aux.acc_seg: 74.6623, loss: 0.2712 +2022-06-19 13:28:21,942 - mmseg - INFO - per class results: +2022-06-19 13:28:21,949 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 77.67 | 88.73 | +| building | 82.54 | 92.86 | +| sky | 94.4 | 97.46 | +| floor | 82.26 | 90.99 | +| tree | 74.02 | 88.38 | +| ceiling | 84.28 | 93.34 | +| road | 83.26 | 90.22 | +| bed | 87.98 | 95.45 | +| windowpane | 62.13 | 78.71 | +| grass | 66.79 | 82.46 | +| cabinet | 62.37 | 73.61 | +| sidewalk | 65.72 | 83.04 | +| person | 80.37 | 92.88 | +| earth | 34.39 | 47.75 | +| door | 48.88 | 61.11 | +| table | 60.05 | 76.26 | +| mountain | 56.32 | 66.39 | +| plant | 53.03 | 64.61 | +| curtain | 74.67 | 86.05 | +| chair | 56.4 | 71.11 | +| car | 83.71 | 91.58 | +| water | 56.74 | 75.75 | +| painting | 72.92 | 88.9 | +| sofa | 68.19 | 83.99 | +| shelf | 45.72 | 65.7 | +| house | 42.78 | 56.27 | +| sea | 55.77 | 73.58 | +| mirror | 67.3 | 75.24 | +| rug | 64.88 | 74.06 | +| field | 28.36 | 44.64 | +| armchair | 41.7 | 58.82 | +| seat | 63.24 | 81.77 | +| fence | 45.62 | 59.79 | +| desk | 48.72 | 69.27 | +| rock | 45.56 | 72.5 | +| wardrobe | 53.47 | 63.78 | +| lamp | 62.84 | 75.62 | +| bathtub | 78.52 | 84.5 | +| railing | 33.81 | 45.31 | +| cushion | 58.77 | 70.25 | +| base | 32.07 | 44.55 | +| box | 26.2 | 34.23 | +| column | 44.96 | 55.19 | +| signboard | 37.27 | 51.04 | +| chest of drawers | 41.82 | 63.0 | +| counter | 21.79 | 29.46 | +| sand | 52.18 | 75.71 | +| sink | 69.78 | 77.88 | +| skyscraper | 55.73 | 65.96 | +| fireplace | 77.38 | 90.12 | +| refrigerator | 74.63 | 81.53 | +| grandstand | 42.98 | 67.26 | +| path | 18.02 | 24.37 | +| stairs | 24.1 | 30.55 | +| runway | 64.46 | 86.7 | +| case | 46.4 | 58.62 | +| pool table | 92.25 | 95.98 | +| pillow | 57.82 | 70.25 | +| screen door | 67.13 | 76.26 | +| stairway | 27.38 | 38.27 | +| river | 14.43 | 23.63 | +| bridge | 58.69 | 65.72 | +| bookcase | 44.24 | 64.3 | +| blind | 34.82 | 39.5 | +| coffee table | 58.47 | 81.79 | +| toilet | 85.85 | 90.5 | +| flower | 42.95 | 55.23 | +| book | 46.78 | 68.04 | +| hill | 10.94 | 19.8 | +| bench | 43.18 | 51.02 | +| countertop | 56.4 | 74.76 | +| stove | 67.95 | 78.84 | +| palm | 51.47 | 70.67 | +| kitchen island | 33.3 | 61.93 | +| computer | 65.73 | 78.31 | +| swivel chair | 42.83 | 57.56 | +| boat | 45.08 | 49.59 | +| bar | 19.2 | 25.01 | +| arcade machine | 54.07 | 57.63 | +| hovel | 37.28 | 42.42 | +| bus | 87.02 | 96.93 | +| towel | 62.32 | 79.41 | +| light | 54.81 | 62.73 | +| truck | 25.26 | 33.97 | +| tower | 27.56 | 35.63 | +| chandelier | 67.12 | 81.35 | +| awning | 21.28 | 26.01 | +| streetlight | 25.24 | 31.99 | +| booth | 40.87 | 41.72 | +| television receiver | 69.79 | 80.37 | +| airplane | 52.88 | 65.32 | +| dirt track | 4.69 | 15.29 | +| apparel | 32.55 | 43.68 | +| pole | 25.29 | 34.39 | +| land | 1.55 | 2.75 | +| bannister | 14.35 | 18.68 | +| escalator | 42.23 | 62.63 | +| ottoman | 42.47 | 58.92 | +| bottle | 38.42 | 60.29 | +| buffet | 41.45 | 49.99 | +| poster | 22.94 | 28.23 | +| stage | 19.21 | 27.44 | +| van | 39.48 | 52.94 | +| ship | 52.53 | 75.32 | +| fountain | 29.76 | 31.43 | +| conveyer belt | 71.39 | 90.75 | +| canopy | 23.15 | 25.38 | +| washer | 74.57 | 76.23 | +| plaything | 25.05 | 37.18 | +| swimming pool | 76.94 | 85.9 | +| stool | 37.97 | 51.83 | +| barrel | 48.06 | 59.67 | +| basket | 34.91 | 48.55 | +| waterfall | 57.54 | 74.62 | +| tent | 94.21 | 98.05 | +| bag | 10.07 | 12.79 | +| minibike | 64.76 | 72.72 | +| cradle | 68.84 | 83.4 | +| oven | 46.6 | 65.98 | +| ball | 40.8 | 50.79 | +| food | 48.92 | 58.08 | +| step | 11.92 | 14.97 | +| tank | 50.83 | 52.81 | +| trade name | 26.98 | 30.2 | +| microwave | 82.2 | 87.82 | +| pot | 44.6 | 51.54 | +| animal | 53.81 | 55.98 | +| bicycle | 51.64 | 77.3 | +| lake | 59.25 | 65.94 | +| dishwasher | 60.79 | 74.23 | +| screen | 62.98 | 89.39 | +| blanket | 15.16 | 17.61 | +| sculpture | 61.63 | 80.97 | +| hood | 61.07 | 66.83 | +| sconce | 45.63 | 54.83 | +| vase | 39.97 | 54.49 | +| traffic light | 36.42 | 55.76 | +| tray | 7.95 | 11.66 | +| ashcan | 41.93 | 53.16 | +| fan | 59.92 | 73.55 | +| pier | 51.15 | 79.44 | +| crt screen | 0.55 | 1.81 | +| plate | 54.1 | 69.96 | +| monitor | 6.68 | 7.35 | +| bulletin board | 27.86 | 34.76 | +| shower | 0.84 | 1.74 | +| radiator | 56.99 | 62.04 | +| glass | 12.45 | 13.54 | +| clock | 29.86 | 36.09 | +| flag | 37.72 | 43.05 | ++---------------------+-------+-------+ +2022-06-19 13:28:21,949 - mmseg - INFO - Summary: +2022-06-19 13:28:21,949 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 83.12 | 48.75 | 60.09 | ++-------+-------+-------+ +2022-06-19 13:28:21,952 - mmseg - INFO - The previous best checkpoint /mnt/lustre/chenzhe.vendor/workspace/ViT-Adapter-Release/segmentation/work_dirs/upernet_deit_adapter_base_512_160k_ade20k/best_mIoU_iter_144000.pth was removed +2022-06-19 13:28:25,558 - mmseg - INFO - Now best checkpoint is saved as best_mIoU_iter_160000.pth. +2022-06-19 13:28:25,559 - mmseg - INFO - Best mIoU is 0.4875 at 160000 iter. +2022-06-19 13:28:25,567 - mmseg - INFO - Exp name: upernet_deit_adapter_base_512_160k_ade20k.py +2022-06-19 13:28:25,567 - mmseg - INFO - Iter(val) [250] aAcc: 0.8312, mIoU: 0.4875, mAcc: 0.6009, IoU.wall: 0.7767, IoU.building: 0.8254, IoU.sky: 0.9440, IoU.floor: 0.8226, IoU.tree: 0.7402, IoU.ceiling: 0.8428, IoU.road: 0.8326, IoU.bed : 0.8798, IoU.windowpane: 0.6213, IoU.grass: 0.6679, IoU.cabinet: 0.6237, IoU.sidewalk: 0.6572, IoU.person: 0.8037, IoU.earth: 0.3439, IoU.door: 0.4888, IoU.table: 0.6005, IoU.mountain: 0.5632, IoU.plant: 0.5303, IoU.curtain: 0.7467, IoU.chair: 0.5640, IoU.car: 0.8371, IoU.water: 0.5674, IoU.painting: 0.7292, IoU.sofa: 0.6819, IoU.shelf: 0.4572, IoU.house: 0.4278, IoU.sea: 0.5577, IoU.mirror: 0.6730, IoU.rug: 0.6488, IoU.field: 0.2836, IoU.armchair: 0.4170, IoU.seat: 0.6324, IoU.fence: 0.4562, IoU.desk: 0.4872, IoU.rock: 0.4556, IoU.wardrobe: 0.5347, IoU.lamp: 0.6284, IoU.bathtub: 0.7852, IoU.railing: 0.3381, IoU.cushion: 0.5877, IoU.base: 0.3207, IoU.box: 0.2620, IoU.column: 0.4496, IoU.signboard: 0.3727, IoU.chest of drawers: 0.4182, IoU.counter: 0.2179, IoU.sand: 0.5218, IoU.sink: 0.6978, IoU.skyscraper: 0.5573, IoU.fireplace: 0.7738, IoU.refrigerator: 0.7463, IoU.grandstand: 0.4298, IoU.path: 0.1802, IoU.stairs: 0.2410, IoU.runway: 0.6446, IoU.case: 0.4640, IoU.pool table: 0.9225, IoU.pillow: 0.5782, IoU.screen door: 0.6713, IoU.stairway: 0.2738, IoU.river: 0.1443, IoU.bridge: 0.5869, IoU.bookcase: 0.4424, IoU.blind: 0.3482, IoU.coffee table: 0.5847, IoU.toilet: 0.8585, IoU.flower: 0.4295, IoU.book: 0.4678, IoU.hill: 0.1094, IoU.bench: 0.4318, IoU.countertop: 0.5640, IoU.stove: 0.6795, IoU.palm: 0.5147, IoU.kitchen island: 0.3330, IoU.computer: 0.6573, IoU.swivel chair: 0.4283, IoU.boat: 0.4508, IoU.bar: 0.1920, IoU.arcade machine: 0.5407, IoU.hovel: 0.3728, IoU.bus: 0.8702, IoU.towel: 0.6232, IoU.light: 0.5481, IoU.truck: 0.2526, IoU.tower: 0.2756, IoU.chandelier: 0.6712, IoU.awning: 0.2128, IoU.streetlight: 0.2524, IoU.booth: 0.4087, IoU.television receiver: 0.6979, IoU.airplane: 0.5288, IoU.dirt track: 0.0469, IoU.apparel: 0.3255, IoU.pole: 0.2529, IoU.land: 0.0155, IoU.bannister: 0.1435, IoU.escalator: 0.4223, IoU.ottoman: 0.4247, IoU.bottle: 0.3842, IoU.buffet: 0.4145, IoU.poster: 0.2294, IoU.stage: 0.1921, IoU.van: 0.3948, IoU.ship: 0.5253, IoU.fountain: 0.2976, IoU.conveyer belt: 0.7139, IoU.canopy: 0.2315, IoU.washer: 0.7457, IoU.plaything: 0.2505, IoU.swimming pool: 0.7694, IoU.stool: 0.3797, IoU.barrel: 0.4806, IoU.basket: 0.3491, IoU.waterfall: 0.5754, IoU.tent: 0.9421, IoU.bag: 0.1007, IoU.minibike: 0.6476, IoU.cradle: 0.6884, IoU.oven: 0.4660, IoU.ball: 0.4080, IoU.food: 0.4892, IoU.step: 0.1192, IoU.tank: 0.5083, IoU.trade name: 0.2698, IoU.microwave: 0.8220, IoU.pot: 0.4460, IoU.animal: 0.5381, IoU.bicycle: 0.5164, IoU.lake: 0.5925, IoU.dishwasher: 0.6079, IoU.screen: 0.6298, IoU.blanket: 0.1516, IoU.sculpture: 0.6163, IoU.hood: 0.6107, IoU.sconce: 0.4563, IoU.vase: 0.3997, IoU.traffic light: 0.3642, IoU.tray: 0.0795, IoU.ashcan: 0.4193, IoU.fan: 0.5992, IoU.pier: 0.5115, IoU.crt screen: 0.0055, IoU.plate: 0.5410, IoU.monitor: 0.0668, IoU.bulletin board: 0.2786, IoU.shower: 0.0084, IoU.radiator: 0.5699, IoU.glass: 0.1245, IoU.clock: 0.2986, IoU.flag: 0.3772, Acc.wall: 0.8873, Acc.building: 0.9286, Acc.sky: 0.9746, Acc.floor: 0.9099, Acc.tree: 0.8838, Acc.ceiling: 0.9334, Acc.road: 0.9022, Acc.bed : 0.9545, Acc.windowpane: 0.7871, Acc.grass: 0.8246, Acc.cabinet: 0.7361, Acc.sidewalk: 0.8304, Acc.person: 0.9288, Acc.earth: 0.4775, Acc.door: 0.6111, Acc.table: 0.7626, Acc.mountain: 0.6639, Acc.plant: 0.6461, Acc.curtain: 0.8605, Acc.chair: 0.7111, Acc.car: 0.9158, Acc.water: 0.7575, Acc.painting: 0.8890, Acc.sofa: 0.8399, Acc.shelf: 0.6570, Acc.house: 0.5627, Acc.sea: 0.7358, Acc.mirror: 0.7524, Acc.rug: 0.7406, Acc.field: 0.4464, Acc.armchair: 0.5882, Acc.seat: 0.8177, Acc.fence: 0.5979, Acc.desk: 0.6927, Acc.rock: 0.7250, Acc.wardrobe: 0.6378, Acc.lamp: 0.7562, Acc.bathtub: 0.8450, Acc.railing: 0.4531, Acc.cushion: 0.7025, Acc.base: 0.4455, Acc.box: 0.3423, Acc.column: 0.5519, Acc.signboard: 0.5104, Acc.chest of drawers: 0.6300, Acc.counter: 0.2946, Acc.sand: 0.7571, Acc.sink: 0.7788, Acc.skyscraper: 0.6596, Acc.fireplace: 0.9012, Acc.refrigerator: 0.8153, Acc.grandstand: 0.6726, Acc.path: 0.2437, Acc.stairs: 0.3055, Acc.runway: 0.8670, Acc.case: 0.5862, Acc.pool table: 0.9598, Acc.pillow: 0.7025, Acc.screen door: 0.7626, Acc.stairway: 0.3827, Acc.river: 0.2363, Acc.bridge: 0.6572, Acc.bookcase: 0.6430, Acc.blind: 0.3950, Acc.coffee table: 0.8179, Acc.toilet: 0.9050, Acc.flower: 0.5523, Acc.book: 0.6804, Acc.hill: 0.1980, Acc.bench: 0.5102, Acc.countertop: 0.7476, Acc.stove: 0.7884, Acc.palm: 0.7067, Acc.kitchen island: 0.6193, Acc.computer: 0.7831, Acc.swivel chair: 0.5756, Acc.boat: 0.4959, Acc.bar: 0.2501, Acc.arcade machine: 0.5763, Acc.hovel: 0.4242, Acc.bus: 0.9693, Acc.towel: 0.7941, Acc.light: 0.6273, Acc.truck: 0.3397, Acc.tower: 0.3563, Acc.chandelier: 0.8135, Acc.awning: 0.2601, Acc.streetlight: 0.3199, Acc.booth: 0.4172, Acc.television receiver: 0.8037, Acc.airplane: 0.6532, Acc.dirt track: 0.1529, Acc.apparel: 0.4368, Acc.pole: 0.3439, Acc.land: 0.0275, Acc.bannister: 0.1868, Acc.escalator: 0.6263, Acc.ottoman: 0.5892, Acc.bottle: 0.6029, Acc.buffet: 0.4999, Acc.poster: 0.2823, Acc.stage: 0.2744, Acc.van: 0.5294, Acc.ship: 0.7532, Acc.fountain: 0.3143, Acc.conveyer belt: 0.9075, Acc.canopy: 0.2538, Acc.washer: 0.7623, Acc.plaything: 0.3718, Acc.swimming pool: 0.8590, Acc.stool: 0.5183, Acc.barrel: 0.5967, Acc.basket: 0.4855, Acc.waterfall: 0.7462, Acc.tent: 0.9805, Acc.bag: 0.1279, Acc.minibike: 0.7272, Acc.cradle: 0.8340, Acc.oven: 0.6598, Acc.ball: 0.5079, Acc.food: 0.5808, Acc.step: 0.1497, Acc.tank: 0.5281, Acc.trade name: 0.3020, Acc.microwave: 0.8782, Acc.pot: 0.5154, Acc.animal: 0.5598, Acc.bicycle: 0.7730, Acc.lake: 0.6594, Acc.dishwasher: 0.7423, Acc.screen: 0.8939, Acc.blanket: 0.1761, Acc.sculpture: 0.8097, Acc.hood: 0.6683, Acc.sconce: 0.5483, Acc.vase: 0.5449, Acc.traffic light: 0.5576, Acc.tray: 0.1166, Acc.ashcan: 0.5316, Acc.fan: 0.7355, Acc.pier: 0.7944, Acc.crt screen: 0.0181, Acc.plate: 0.6996, Acc.monitor: 0.0735, Acc.bulletin board: 0.3476, Acc.shower: 0.0174, Acc.radiator: 0.6204, Acc.glass: 0.1354, Acc.clock: 0.3609, Acc.flag: 0.4305