diff --git "a/upernet_augreg_adapter_base_512_160k_ade20k.log" "b/upernet_augreg_adapter_base_512_160k_ade20k.log" new file mode 100644--- /dev/null +++ "b/upernet_augreg_adapter_base_512_160k_ade20k.log" @@ -0,0 +1,7062 @@ +2022-02-27 21:24:18,230 - mmseg - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.0 (default, Oct 9 2018, 10:31:47) [GCC 7.3.0] +CUDA available: True +GPU 0,1,2,3,4,5,6,7: A100-SXM-80GB +CUDA_HOME: /usr/local/cuda +NVCC: Build cuda_11.2.r11.2/compiler.29618528_0 +GCC: gcc (GCC) 5.2.0 +PyTorch: 1.9.0+cu111 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.1.2 (Git Hash 98be7e8afa711dc9b66c8ff3504129cb82013cdb) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.1 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 + - CuDNN 8.0.5 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.9.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, + +TorchVision: 0.10.0+cu111 +OpenCV: 4.5.5 +MMCV: 1.4.2 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.1 +MMSegmentation: 0.20.2+ +------------------------------------------------------------ + +2022-02-27 21:24:18,230 - mmseg - INFO - Distributed training: True +2022-02-27 21:24:18,681 - mmseg - INFO - Config: +norm_cfg = dict(type='SyncBN', requires_grad=True) +model = dict( + type='EncoderDecoder', + pretrained= + 'pretrained/B_16-i21k-300ep-lr_0.001-aug_medium1-wd_0.1-do_0.0-sd_0.0--imagenet2012-steps_20k-lr_0.01-res_384.pth', + backbone=dict( + type='ViTDenseAdaptorV2', + img_size=384, + pretrain_size=384, + patch_size=16, + embed_dim=768, + depth=12, + num_heads=12, + mlp_ratio=4, + drop_path_rate=0.1, + conv_inplane=64, + n_points=4, + deform_num_heads=12, + interact_with_ffn=True, + interact_ffn_ratio=0.25, + interact_deform_ratio=0.5, + extract_with_ffn=True, + extract_ffn_ratio=0.25, + extract_deform_ratio=0.5, + num_extract_block=2, + add_vit_feature=True, + interact_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=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], 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=[127.5, 127.5, 127.5], + std=[127.5, 127.5, 127.5], + 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=[127.5, 127.5, 127.5], + std=[127.5, 127.5, 127.5], + 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=[127.5, 127.5, 127.5], + std=[127.5, 127.5, 127.5], + 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=[127.5, 127.5, 127.5], + std=[127.5, 127.5, 127.5], + 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=[127.5, 127.5, 127.5], + std=[127.5, 127.5, 127.5], + 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=2e-05, + betas=(0.9, 0.999), + weight_decay=0.01, + paramwise_cfg=dict( + custom_keys=dict( + level_embed=dict(decay_mult=0.0), + pos_embed=dict(decay_mult=0.0), + norm=dict(decay_mult=0.0), + bias=dict(decay_mult=0.0), + head=dict(lr_mult=10.0)))) +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=16000) +evaluation = dict(interval=16000, metric='mIoU', pre_eval=True) +work_dir = './work_dirs/upernet_vit_base_22k_adptor_1113_512_ade20k_160k' +gpu_ids = range(0, 8) +auto_resume = False + +2022-02-27 21:24:26,176 - mmseg - INFO - Set random seed to 1492519198, deterministic: False +2022-02-27 21:24:26,664 - mmseg - INFO - load checkpoint from local path: pretrained/B_16-i21k-300ep-lr_0.001-aug_medium1-wd_0.1-do_0.0-sd_0.0--imagenet2012-steps_20k-lr_0.01-res_384.pth +2022-02-27 21:24:27,039 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: cls_token, norm.weight, norm.bias + +2022-02-27 21:24:27,259 - mmseg - INFO - load checkpoint from local path: pretrained/B_16-i21k-300ep-lr_0.001-aug_medium1-wd_0.1-do_0.0-sd_0.0--imagenet2012-steps_20k-lr_0.01-res_384.pth +2022-02-27 21:24:27,639 - mmseg - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: cls_token, norm.weight, norm.bias + +missing keys in source state_dict: level_embed, conv_branch.stem.0.weight, conv_branch.stem.1.weight, conv_branch.stem.1.bias, conv_branch.stem.1.running_mean, conv_branch.stem.1.running_var, conv_branch.stem.3.weight, conv_branch.stem.4.weight, conv_branch.stem.4.bias, 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extract_blocks.1.extract.attn.sampling_offsets.weight, extract_blocks.1.extract.attn.sampling_offsets.bias, extract_blocks.1.extract.attn.attention_weights.weight, extract_blocks.1.extract.attn.attention_weights.bias, extract_blocks.1.extract.attn.value_proj.weight, extract_blocks.1.extract.attn.value_proj.bias, extract_blocks.1.extract.attn.output_proj.weight, extract_blocks.1.extract.attn.output_proj.bias, extract_blocks.1.ffn.fc1.weight, extract_blocks.1.ffn.fc1.bias, extract_blocks.1.ffn.dwconv.dwconv.weight, extract_blocks.1.ffn.dwconv.dwconv.bias, extract_blocks.1.ffn.fc2.weight, extract_blocks.1.ffn.fc2.bias, extract_blocks.1.ffn_norm.weight, extract_blocks.1.ffn_norm.bias, up.weight, up.bias, norm1.weight, norm1.bias, norm1.running_mean, norm1.running_var, norm2.weight, norm2.bias, norm2.running_mean, norm2.running_var, norm3.weight, norm3.bias, norm3.running_mean, norm3.running_var, norm4.weight, norm4.bias, norm4.running_mean, norm4.running_var + +2022-02-27 21:24:28,073 - mmseg - INFO - initialize UPerHead with init_cfg {'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}} +2022-02-27 21:24:28,203 - 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, 577, 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.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.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.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.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.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.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.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.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.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.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.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.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.conv_branch.stem.0.weight - torch.Size([64, 3, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.stem.1.weight - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.stem.1.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.stem.3.weight - torch.Size([64, 64, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.stem.4.weight - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.stem.4.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.stem.6.weight - torch.Size([64, 64, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.stem.7.weight - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.stem.7.bias - torch.Size([64]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.conv2.0.weight - torch.Size([128, 64, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.conv2.1.weight - torch.Size([128]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.conv2.1.bias - torch.Size([128]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.conv3.0.weight - torch.Size([256, 128, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.conv3.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.conv3.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.conv4.0.weight - torch.Size([256, 256, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.conv4.1.weight - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.conv4.1.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.fc1.weight - torch.Size([768, 64, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.fc1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.fc2.weight - torch.Size([768, 128, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.fc3.weight - torch.Size([768, 256, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.fc3.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.fc4.weight - torch.Size([768, 256, 1, 1]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.conv_branch.fc4.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.extract.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.gamma - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.attn.sampling_offsets.weight - torch.Size([288, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.attn.sampling_offsets.bias - torch.Size([288]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.attn.attention_weights.weight - torch.Size([144, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.attn.attention_weights.bias - torch.Size([144]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.insert.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.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.interact_blocks.0.ffn.dwconv.dwconv.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.0.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.extract.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.gamma - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.attn.sampling_offsets.weight - torch.Size([288, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.attn.sampling_offsets.bias - torch.Size([288]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.attn.attention_weights.weight - torch.Size([144, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.attn.attention_weights.bias - torch.Size([144]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.insert.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.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.interact_blocks.1.ffn.dwconv.dwconv.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.1.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.extract.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.gamma - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.attn.sampling_offsets.weight - torch.Size([288, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.attn.sampling_offsets.bias - torch.Size([288]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.attn.attention_weights.weight - torch.Size([144, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.attn.attention_weights.bias - torch.Size([144]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.insert.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.ffn.dwconv.dwconv.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.2.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.extract.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.gamma - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.attn.sampling_offsets.weight - torch.Size([288, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.attn.sampling_offsets.bias - torch.Size([288]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.attn.attention_weights.weight - torch.Size([144, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.attn.attention_weights.bias - torch.Size([144]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.insert.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.ffn.dwconv.dwconv.weight - torch.Size([192, 1, 3, 3]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.ffn.dwconv.dwconv.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.interact_blocks.3.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.extract.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.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.extract_blocks.0.ffn.dwconv.dwconv.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.0.ffn_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.query_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.query_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.feat_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.feat_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.attn.sampling_offsets.weight - torch.Size([96, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.attn.sampling_offsets.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.attn.attention_weights.weight - torch.Size([48, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.attn.attention_weights.bias - torch.Size([48]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.attn.value_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.attn.value_proj.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.attn.output_proj.weight - torch.Size([768, 384]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.extract.attn.output_proj.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.ffn.fc1.weight - torch.Size([192, 768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.ffn.fc1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.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.extract_blocks.1.ffn.dwconv.dwconv.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.ffn.fc2.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.ffn.fc2.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.1.ffn_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of EncoderDecoder + +backbone.extract_blocks.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 +2022-02-27 21:24:28,208 - mmseg - INFO - EncoderDecoder( + (backbone): ViTDenseAdaptorV2( + (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) + ) + ) + ) + (conv_branch): ConvBranch( + (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)) + ) + (interact_blocks): Sequential( + (0): InteractBlock( + (extract): ExtractLayer( + (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) + ) + ) + (insert): InsertLayer( + (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) + ) + ) + (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): InteractBlock( + (extract): ExtractLayer( + (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) + ) + ) + (insert): InsertLayer( + (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) + ) + ) + (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): InteractBlock( + (extract): ExtractLayer( + (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) + ) + ) + (insert): InsertLayer( + (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) + ) + ) + (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): InteractBlock( + (extract): ExtractLayer( + (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) + ) + ) + (insert): InsertLayer( + (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) + ) + ) + (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() + ) + ) + (extract_blocks): Sequential( + (0): ExtractBlock( + (extract): ExtractLayer( + (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): ExtractBlock( + (extract): ExtractLayer( + (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() + (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() + (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'}} +) +2022-02-27 21:24:28,543 - mmseg - INFO - Loaded 20210 images +2022-02-27 21:24:29,513 - mmseg - INFO - Loaded 2000 images +2022-02-27 21:24:29,514 - mmseg - INFO - Start running, host: chenzhe@HOST-10-142-40-13, work_dir: /home/chenzhe/workspace/DenseAdaptor/segmentation/work_dirs/upernet_vit_base_22k_adptor_1113_512_ade20k_160k +2022-02-27 21:24:29,514 - 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 + -------------------- +2022-02-27 21:24:29,515 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters +2022-02-27 21:24:29,515 - mmseg - INFO - Checkpoints will be saved to /home/chenzhe/workspace/DenseAdaptor/segmentation/work_dirs/upernet_vit_base_22k_adptor_1113_512_ade20k_160k by HardDiskBackend. +2022-02-27 21:25:16,773 - mmseg - INFO - Iter [50/160000] lr: 6.532e-07, eta: 1 day, 6:56:07, time: 0.696, data_time: 0.005, memory: 56778, decode.loss_ce: 4.0819, decode.acc_seg: 0.6152, aux.loss_ce: 1.6284, aux.acc_seg: 0.9122, loss: 5.7104 +2022-02-27 21:25:29,172 - mmseg - INFO - Iter [100/160000] lr: 1.319e-06, eta: 20:58:10, time: 0.248, data_time: 0.003, memory: 56778, decode.loss_ce: 3.8737, decode.acc_seg: 13.0558, aux.loss_ce: 1.5949, aux.acc_seg: 3.2895, loss: 5.4687 +2022-02-27 21:25:41,693 - mmseg - INFO - Iter [150/160000] lr: 1.985e-06, eta: 17:40:53, time: 0.250, data_time: 0.003, memory: 56778, decode.loss_ce: 3.4222, decode.acc_seg: 33.3652, aux.loss_ce: 1.5452, aux.acc_seg: 16.5430, loss: 4.9674 +2022-02-27 21:25:54,092 - mmseg - INFO - Iter [200/160000] lr: 2.650e-06, eta: 16:00:31, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 2.9283, decode.acc_seg: 37.1628, aux.loss_ce: 1.4763, aux.acc_seg: 31.4784, loss: 4.4046 +2022-02-27 21:26:06,401 - mmseg - INFO - Iter [250/160000] lr: 3.315e-06, eta: 14:59:17, time: 0.246, data_time: 0.003, memory: 56778, decode.loss_ce: 2.5748, decode.acc_seg: 42.0188, aux.loss_ce: 1.3907, aux.acc_seg: 38.1385, loss: 3.9654 +2022-02-27 21:26:18,711 - mmseg - INFO - Iter [300/160000] lr: 3.979e-06, eta: 14:18:22, time: 0.246, data_time: 0.003, memory: 56778, decode.loss_ce: 2.3083, decode.acc_seg: 43.4986, aux.loss_ce: 1.2802, aux.acc_seg: 39.5327, loss: 3.5884 +2022-02-27 21:26:31,047 - mmseg - INFO - Iter [350/160000] lr: 4.643e-06, eta: 13:49:17, time: 0.247, data_time: 0.003, memory: 56778, decode.loss_ce: 2.0234, decode.acc_seg: 46.4544, aux.loss_ce: 1.1555, aux.acc_seg: 41.5336, loss: 3.1790 +2022-02-27 21:26:43,309 - mmseg - INFO - Iter [400/160000] lr: 5.307e-06, eta: 13:26:56, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 1.8005, decode.acc_seg: 46.9092, aux.loss_ce: 1.0485, aux.acc_seg: 41.3924, loss: 2.8490 +2022-02-27 21:26:55,594 - mmseg - INFO - Iter [450/160000] lr: 5.970e-06, eta: 13:09:39, time: 0.246, data_time: 0.003, memory: 56778, decode.loss_ce: 1.6811, decode.acc_seg: 48.1271, aux.loss_ce: 0.9703, aux.acc_seg: 42.2955, loss: 2.6513 +2022-02-27 21:27:07,918 - mmseg - INFO - Iter [500/160000] lr: 6.633e-06, eta: 12:55:59, time: 0.246, data_time: 0.003, memory: 56778, decode.loss_ce: 1.5821, decode.acc_seg: 48.7536, aux.loss_ce: 0.9050, aux.acc_seg: 43.1985, loss: 2.4870 +2022-02-27 21:27:20,350 - mmseg - INFO - Iter [550/160000] lr: 7.295e-06, eta: 12:45:17, time: 0.249, data_time: 0.003, memory: 56778, decode.loss_ce: 1.4974, decode.acc_seg: 49.1109, aux.loss_ce: 0.8396, aux.acc_seg: 43.8175, loss: 2.3370 +2022-02-27 21:27:32,604 - mmseg - INFO - Iter [600/160000] lr: 7.957e-06, eta: 12:35:32, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 1.4252, decode.acc_seg: 51.7161, aux.loss_ce: 0.7991, aux.acc_seg: 45.9895, loss: 2.2243 +2022-02-27 21:27:44,980 - mmseg - INFO - Iter [650/160000] lr: 8.618e-06, eta: 12:27:43, time: 0.247, data_time: 0.003, memory: 56778, decode.loss_ce: 1.3739, decode.acc_seg: 50.0863, aux.loss_ce: 0.7524, aux.acc_seg: 44.3320, loss: 2.1263 +2022-02-27 21:27:57,680 - mmseg - INFO - Iter [700/160000] lr: 9.279e-06, eta: 12:22:19, time: 0.254, data_time: 0.004, memory: 56778, decode.loss_ce: 1.3311, decode.acc_seg: 53.3242, aux.loss_ce: 0.7217, aux.acc_seg: 47.9802, loss: 2.0528 +2022-02-27 21:28:10,070 - mmseg - INFO - Iter [750/160000] lr: 9.940e-06, eta: 12:16:27, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 1.2493, decode.acc_seg: 53.7268, aux.loss_ce: 0.6648, aux.acc_seg: 48.6398, loss: 1.9140 +2022-02-27 21:28:22,614 - mmseg - INFO - Iter [800/160000] lr: 1.060e-05, eta: 12:11:48, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 1.2387, decode.acc_seg: 51.8503, aux.loss_ce: 0.6436, aux.acc_seg: 47.3015, loss: 1.8823 +2022-02-27 21:28:34,912 - mmseg - INFO - Iter [850/160000] lr: 1.126e-05, eta: 12:06:55, time: 0.246, data_time: 0.003, memory: 56778, decode.loss_ce: 1.2109, decode.acc_seg: 53.9833, aux.loss_ce: 0.6240, aux.acc_seg: 49.5119, loss: 1.8349 +2022-02-27 21:28:47,175 - mmseg - INFO - Iter [900/160000] lr: 1.192e-05, eta: 12:02:24, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 1.1798, decode.acc_seg: 54.5333, aux.loss_ce: 0.6010, aux.acc_seg: 51.4263, loss: 1.7809 +2022-02-27 21:28:59,519 - mmseg - INFO - Iter [950/160000] lr: 1.258e-05, eta: 11:58:39, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 1.1555, decode.acc_seg: 54.0065, aux.loss_ce: 0.5888, aux.acc_seg: 50.1778, loss: 1.7443 +2022-02-27 21:29:12,108 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 21:29:12,109 - mmseg - INFO - Iter [1000/160000] lr: 1.324e-05, eta: 11:55:52, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 1.1249, decode.acc_seg: 53.0640, aux.loss_ce: 0.5637, aux.acc_seg: 49.2609, loss: 1.6886 +2022-02-27 21:29:24,383 - mmseg - INFO - Iter [1050/160000] lr: 1.389e-05, eta: 11:52:32, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 1.1363, decode.acc_seg: 52.5918, aux.loss_ce: 0.5535, aux.acc_seg: 50.6633, loss: 1.6897 +2022-02-27 21:29:37,341 - mmseg - INFO - Iter [1100/160000] lr: 1.455e-05, eta: 11:51:08, time: 0.259, data_time: 0.003, memory: 56778, decode.loss_ce: 1.0633, decode.acc_seg: 54.3906, aux.loss_ce: 0.5249, aux.acc_seg: 51.9479, loss: 1.5882 +2022-02-27 21:29:49,762 - mmseg - INFO - Iter [1150/160000] lr: 1.521e-05, eta: 11:48:35, time: 0.248, data_time: 0.003, memory: 56778, decode.loss_ce: 1.0504, decode.acc_seg: 54.5219, aux.loss_ce: 0.5146, aux.acc_seg: 51.9977, loss: 1.5650 +2022-02-27 21:30:02,071 - mmseg - INFO - Iter [1200/160000] lr: 1.587e-05, eta: 11:46:00, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.9886, decode.acc_seg: 56.6002, aux.loss_ce: 0.4876, aux.acc_seg: 53.7208, loss: 1.4763 +2022-02-27 21:30:14,487 - mmseg - INFO - Iter [1250/160000] lr: 1.652e-05, eta: 11:43:49, time: 0.248, data_time: 0.003, memory: 56778, decode.loss_ce: 1.0020, decode.acc_seg: 54.6257, aux.loss_ce: 0.4831, aux.acc_seg: 52.7077, loss: 1.4851 +2022-02-27 21:30:29,173 - mmseg - INFO - Iter [1300/160000] lr: 1.718e-05, eta: 11:46:25, time: 0.294, data_time: 0.048, memory: 56778, decode.loss_ce: 0.9654, decode.acc_seg: 55.9911, aux.loss_ce: 0.4666, aux.acc_seg: 54.1190, loss: 1.4320 +2022-02-27 21:30:41,578 - mmseg - INFO - Iter [1350/160000] lr: 1.784e-05, eta: 11:44:20, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.9715, decode.acc_seg: 54.6426, aux.loss_ce: 0.4693, aux.acc_seg: 52.7352, loss: 1.4408 +2022-02-27 21:30:54,044 - mmseg - INFO - Iter [1400/160000] lr: 1.849e-05, eta: 11:42:30, time: 0.249, data_time: 0.003, memory: 56778, decode.loss_ce: 0.9189, decode.acc_seg: 57.5530, aux.loss_ce: 0.4397, aux.acc_seg: 55.1874, loss: 1.3586 +2022-02-27 21:31:06,546 - mmseg - INFO - Iter [1450/160000] lr: 1.915e-05, eta: 11:40:49, time: 0.250, data_time: 0.003, memory: 56778, decode.loss_ce: 0.9241, decode.acc_seg: 57.0980, aux.loss_ce: 0.4328, aux.acc_seg: 55.6477, loss: 1.3569 +2022-02-27 21:31:19,265 - mmseg - INFO - Iter [1500/160000] lr: 1.980e-05, eta: 11:39:40, time: 0.255, data_time: 0.004, memory: 56778, decode.loss_ce: 0.9373, decode.acc_seg: 56.0353, aux.loss_ce: 0.4437, aux.acc_seg: 54.3065, loss: 1.3811 +2022-02-27 21:31:31,645 - mmseg - INFO - Iter [1550/160000] lr: 1.981e-05, eta: 11:37:59, time: 0.248, data_time: 0.003, memory: 56778, decode.loss_ce: 0.8924, decode.acc_seg: 56.2339, aux.loss_ce: 0.4187, aux.acc_seg: 55.2974, loss: 1.3111 +2022-02-27 21:31:44,053 - mmseg - INFO - Iter [1600/160000] lr: 1.980e-05, eta: 11:36:26, time: 0.248, data_time: 0.003, memory: 56778, decode.loss_ce: 0.8724, decode.acc_seg: 57.2741, aux.loss_ce: 0.4112, aux.acc_seg: 55.6557, loss: 1.2837 +2022-02-27 21:31:56,479 - mmseg - INFO - Iter [1650/160000] lr: 1.979e-05, eta: 11:34:59, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.9226, decode.acc_seg: 56.9110, aux.loss_ce: 0.4351, aux.acc_seg: 54.9039, loss: 1.3578 +2022-02-27 21:32:08,975 - mmseg - INFO - Iter [1700/160000] lr: 1.979e-05, eta: 11:33:43, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.9379, decode.acc_seg: 56.0296, aux.loss_ce: 0.4322, aux.acc_seg: 53.9661, loss: 1.3702 +2022-02-27 21:32:21,335 - mmseg - INFO - Iter [1750/160000] lr: 1.978e-05, eta: 11:32:19, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.8783, decode.acc_seg: 57.1658, aux.loss_ce: 0.4043, aux.acc_seg: 55.3862, loss: 1.2827 +2022-02-27 21:32:33,694 - mmseg - INFO - Iter [1800/160000] lr: 1.978e-05, eta: 11:30:57, time: 0.247, data_time: 0.003, memory: 56778, decode.loss_ce: 0.8618, decode.acc_seg: 57.7398, aux.loss_ce: 0.3923, aux.acc_seg: 56.2167, loss: 1.2542 +2022-02-27 21:32:46,088 - mmseg - INFO - Iter [1850/160000] lr: 1.977e-05, eta: 11:29:45, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.8239, decode.acc_seg: 58.7416, aux.loss_ce: 0.3802, aux.acc_seg: 57.0125, loss: 1.2041 +2022-02-27 21:32:58,476 - mmseg - INFO - Iter [1900/160000] lr: 1.976e-05, eta: 11:28:34, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.8674, decode.acc_seg: 59.1617, aux.loss_ce: 0.3919, aux.acc_seg: 57.8268, loss: 1.2593 +2022-02-27 21:33:10,998 - mmseg - INFO - Iter [1950/160000] lr: 1.976e-05, eta: 11:27:37, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.8612, decode.acc_seg: 57.2297, aux.loss_ce: 0.3854, aux.acc_seg: 55.7522, loss: 1.2466 +2022-02-27 21:33:23,492 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 21:33:23,492 - mmseg - INFO - Iter [2000/160000] lr: 1.975e-05, eta: 11:26:39, time: 0.250, data_time: 0.003, memory: 56778, decode.loss_ce: 0.8560, decode.acc_seg: 57.8107, aux.loss_ce: 0.3856, aux.acc_seg: 56.3129, loss: 1.2415 +2022-02-27 21:33:35,727 - mmseg - INFO - Iter [2050/160000] lr: 1.974e-05, eta: 11:25:24, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 0.8096, decode.acc_seg: 58.3352, aux.loss_ce: 0.3609, aux.acc_seg: 57.3574, loss: 1.1705 +2022-02-27 21:33:48,147 - mmseg - INFO - Iter [2100/160000] lr: 1.974e-05, eta: 11:24:26, time: 0.248, data_time: 0.003, memory: 56778, decode.loss_ce: 0.8002, decode.acc_seg: 59.2075, aux.loss_ce: 0.3609, aux.acc_seg: 57.4562, loss: 1.1611 +2022-02-27 21:34:00,559 - mmseg - INFO - Iter [2150/160000] lr: 1.973e-05, eta: 11:23:30, time: 0.248, data_time: 0.003, memory: 56778, decode.loss_ce: 0.8224, decode.acc_seg: 58.3708, aux.loss_ce: 0.3625, aux.acc_seg: 57.4221, loss: 1.1849 +2022-02-27 21:34:13,188 - mmseg - INFO - Iter [2200/160000] lr: 1.973e-05, eta: 11:22:51, time: 0.253, data_time: 0.004, memory: 56778, decode.loss_ce: 0.8070, decode.acc_seg: 58.8981, aux.loss_ce: 0.3572, aux.acc_seg: 57.9894, loss: 1.1642 +2022-02-27 21:34:25,612 - mmseg - INFO - Iter [2250/160000] lr: 1.972e-05, eta: 11:21:59, time: 0.248, data_time: 0.003, memory: 56778, decode.loss_ce: 0.8190, decode.acc_seg: 58.2766, aux.loss_ce: 0.3567, aux.acc_seg: 57.7775, loss: 1.1757 +2022-02-27 21:34:38,065 - mmseg - INFO - Iter [2300/160000] lr: 1.971e-05, eta: 11:21:10, time: 0.249, data_time: 0.003, memory: 56778, decode.loss_ce: 0.7927, decode.acc_seg: 57.6714, aux.loss_ce: 0.3503, aux.acc_seg: 56.9223, loss: 1.1430 +2022-02-27 21:34:50,342 - mmseg - INFO - Iter [2350/160000] lr: 1.971e-05, eta: 11:20:12, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.7441, decode.acc_seg: 59.6338, aux.loss_ce: 0.3277, aux.acc_seg: 58.6903, loss: 1.0718 +2022-02-27 21:35:02,613 - mmseg - INFO - Iter [2400/160000] lr: 1.970e-05, eta: 11:19:15, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.7562, decode.acc_seg: 59.6390, aux.loss_ce: 0.3359, aux.acc_seg: 58.4507, loss: 1.0921 +2022-02-27 21:35:14,977 - mmseg - INFO - Iter [2450/160000] lr: 1.969e-05, eta: 11:18:25, time: 0.247, data_time: 0.003, memory: 56778, decode.loss_ce: 0.7369, decode.acc_seg: 59.2165, aux.loss_ce: 0.3268, aux.acc_seg: 58.2898, loss: 1.0637 +2022-02-27 21:35:27,314 - mmseg - INFO - Iter [2500/160000] lr: 1.969e-05, eta: 11:17:36, time: 0.247, data_time: 0.003, memory: 56778, decode.loss_ce: 0.8003, decode.acc_seg: 57.6829, aux.loss_ce: 0.3450, aux.acc_seg: 56.9388, loss: 1.1453 +2022-02-27 21:35:41,889 - mmseg - INFO - Iter [2550/160000] lr: 1.968e-05, eta: 11:19:06, time: 0.292, data_time: 0.050, memory: 56778, decode.loss_ce: 0.7553, decode.acc_seg: 57.8675, aux.loss_ce: 0.3300, aux.acc_seg: 57.0162, loss: 1.0853 +2022-02-27 21:35:54,261 - mmseg - INFO - Iter [2600/160000] lr: 1.968e-05, eta: 11:18:18, time: 0.247, data_time: 0.003, memory: 56778, decode.loss_ce: 0.7820, decode.acc_seg: 58.0274, aux.loss_ce: 0.3399, aux.acc_seg: 57.3187, loss: 1.1219 +2022-02-27 21:36:06,631 - mmseg - INFO - Iter [2650/160000] lr: 1.967e-05, eta: 11:17:32, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.7259, decode.acc_seg: 60.5956, aux.loss_ce: 0.3150, aux.acc_seg: 60.2439, loss: 1.0410 +2022-02-27 21:36:18,875 - mmseg - INFO - Iter [2700/160000] lr: 1.966e-05, eta: 11:16:40, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.7282, decode.acc_seg: 59.8469, aux.loss_ce: 0.3133, aux.acc_seg: 59.5537, loss: 1.0415 +2022-02-27 21:36:31,308 - mmseg - INFO - Iter [2750/160000] lr: 1.966e-05, eta: 11:16:00, time: 0.249, data_time: 0.003, memory: 56778, decode.loss_ce: 0.7149, decode.acc_seg: 61.9880, aux.loss_ce: 0.3100, aux.acc_seg: 61.0585, loss: 1.0249 +2022-02-27 21:36:43,880 - mmseg - INFO - Iter [2800/160000] lr: 1.965e-05, eta: 11:15:29, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.7674, decode.acc_seg: 58.7848, aux.loss_ce: 0.3310, aux.acc_seg: 58.2248, loss: 1.0984 +2022-02-27 21:36:56,247 - mmseg - INFO - Iter [2850/160000] lr: 1.964e-05, eta: 11:14:47, time: 0.247, data_time: 0.003, memory: 56778, decode.loss_ce: 0.7507, decode.acc_seg: 58.7146, aux.loss_ce: 0.3207, aux.acc_seg: 58.0871, loss: 1.0714 +2022-02-27 21:37:08,661 - mmseg - INFO - Iter [2900/160000] lr: 1.964e-05, eta: 11:14:08, time: 0.248, data_time: 0.003, memory: 56778, decode.loss_ce: 0.7389, decode.acc_seg: 59.5420, aux.loss_ce: 0.3192, aux.acc_seg: 58.5289, loss: 1.0581 +2022-02-27 21:37:20,997 - mmseg - INFO - Iter [2950/160000] lr: 1.963e-05, eta: 11:13:28, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.7219, decode.acc_seg: 61.1621, aux.loss_ce: 0.3094, aux.acc_seg: 60.4973, loss: 1.0313 +2022-02-27 21:37:33,303 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 21:37:33,304 - mmseg - INFO - Iter [3000/160000] lr: 1.963e-05, eta: 11:12:45, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6823, decode.acc_seg: 59.4464, aux.loss_ce: 0.2906, aux.acc_seg: 58.9734, loss: 0.9729 +2022-02-27 21:37:45,791 - mmseg - INFO - Iter [3050/160000] lr: 1.962e-05, eta: 11:12:14, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.7050, decode.acc_seg: 59.8964, aux.loss_ce: 0.2992, aux.acc_seg: 59.5205, loss: 1.0043 +2022-02-27 21:37:58,018 - mmseg - INFO - Iter [3100/160000] lr: 1.961e-05, eta: 11:11:29, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.7196, decode.acc_seg: 60.0257, aux.loss_ce: 0.3014, aux.acc_seg: 59.6057, loss: 1.0211 +2022-02-27 21:38:10,271 - mmseg - INFO - Iter [3150/160000] lr: 1.961e-05, eta: 11:10:47, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.7023, decode.acc_seg: 59.1388, aux.loss_ce: 0.2966, aux.acc_seg: 58.4174, loss: 0.9989 +2022-02-27 21:38:22,588 - mmseg - INFO - Iter [3200/160000] lr: 1.960e-05, eta: 11:10:09, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.7108, decode.acc_seg: 61.0748, aux.loss_ce: 0.3018, aux.acc_seg: 60.5111, loss: 1.0127 +2022-02-27 21:38:34,930 - mmseg - INFO - Iter [3250/160000] lr: 1.959e-05, eta: 11:09:33, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6880, decode.acc_seg: 61.5569, aux.loss_ce: 0.2932, aux.acc_seg: 61.0958, loss: 0.9812 +2022-02-27 21:38:47,244 - mmseg - INFO - Iter [3300/160000] lr: 1.959e-05, eta: 11:08:57, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6945, decode.acc_seg: 59.5307, aux.loss_ce: 0.2926, aux.acc_seg: 59.5299, loss: 0.9871 +2022-02-27 21:38:59,605 - mmseg - INFO - Iter [3350/160000] lr: 1.958e-05, eta: 11:08:23, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.7114, decode.acc_seg: 59.7071, aux.loss_ce: 0.2982, aux.acc_seg: 59.6724, loss: 1.0096 +2022-02-27 21:39:11,914 - mmseg - INFO - Iter [3400/160000] lr: 1.958e-05, eta: 11:07:47, time: 0.246, data_time: 0.003, memory: 56778, decode.loss_ce: 0.6938, decode.acc_seg: 61.7065, aux.loss_ce: 0.2901, aux.acc_seg: 61.4524, loss: 0.9840 +2022-02-27 21:39:24,258 - mmseg - INFO - Iter [3450/160000] lr: 1.957e-05, eta: 11:07:14, time: 0.247, data_time: 0.003, memory: 56778, decode.loss_ce: 0.7455, decode.acc_seg: 60.0205, aux.loss_ce: 0.3132, aux.acc_seg: 59.5566, loss: 1.0588 +2022-02-27 21:39:36,498 - mmseg - INFO - Iter [3500/160000] lr: 1.956e-05, eta: 11:06:37, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 0.7030, decode.acc_seg: 60.9304, aux.loss_ce: 0.2922, aux.acc_seg: 60.6759, loss: 0.9952 +2022-02-27 21:39:48,966 - mmseg - INFO - Iter [3550/160000] lr: 1.956e-05, eta: 11:06:11, time: 0.249, data_time: 0.003, memory: 56778, decode.loss_ce: 0.7222, decode.acc_seg: 60.7125, aux.loss_ce: 0.2990, aux.acc_seg: 60.5571, loss: 1.0212 +2022-02-27 21:40:01,494 - mmseg - INFO - Iter [3600/160000] lr: 1.955e-05, eta: 11:05:47, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.7009, decode.acc_seg: 61.5430, aux.loss_ce: 0.2905, aux.acc_seg: 61.2231, loss: 0.9914 +2022-02-27 21:40:13,854 - mmseg - INFO - Iter [3650/160000] lr: 1.954e-05, eta: 11:05:17, time: 0.247, data_time: 0.003, memory: 56778, decode.loss_ce: 0.6965, decode.acc_seg: 61.0276, aux.loss_ce: 0.2906, aux.acc_seg: 60.7479, loss: 0.9871 +2022-02-27 21:40:26,140 - mmseg - INFO - Iter [3700/160000] lr: 1.954e-05, eta: 11:04:44, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.7084, decode.acc_seg: 62.0251, aux.loss_ce: 0.2961, aux.acc_seg: 61.8181, loss: 1.0045 +2022-02-27 21:40:38,531 - mmseg - INFO - Iter [3750/160000] lr: 1.953e-05, eta: 11:04:16, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6824, decode.acc_seg: 59.6354, aux.loss_ce: 0.2861, aux.acc_seg: 59.3302, loss: 0.9686 +2022-02-27 21:40:53,288 - mmseg - INFO - Iter [3800/160000] lr: 1.953e-05, eta: 11:05:25, time: 0.295, data_time: 0.050, memory: 56778, decode.loss_ce: 0.6973, decode.acc_seg: 61.7611, aux.loss_ce: 0.2923, aux.acc_seg: 61.3200, loss: 0.9896 +2022-02-27 21:41:05,751 - mmseg - INFO - Iter [3850/160000] lr: 1.952e-05, eta: 11:04:59, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6211, decode.acc_seg: 61.5930, aux.loss_ce: 0.2655, aux.acc_seg: 61.1547, loss: 0.8866 +2022-02-27 21:41:17,986 - mmseg - INFO - Iter [3900/160000] lr: 1.951e-05, eta: 11:04:25, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6664, decode.acc_seg: 61.7646, aux.loss_ce: 0.2785, aux.acc_seg: 61.3518, loss: 0.9449 +2022-02-27 21:41:30,350 - mmseg - INFO - Iter [3950/160000] lr: 1.951e-05, eta: 11:03:56, time: 0.247, data_time: 0.003, memory: 56778, decode.loss_ce: 0.6455, decode.acc_seg: 61.8926, aux.loss_ce: 0.2669, aux.acc_seg: 61.6872, loss: 0.9124 +2022-02-27 21:41:42,785 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 21:41:42,786 - mmseg - INFO - Iter [4000/160000] lr: 1.950e-05, eta: 11:03:31, time: 0.249, data_time: 0.003, memory: 56778, decode.loss_ce: 0.6348, decode.acc_seg: 62.6986, aux.loss_ce: 0.2673, aux.acc_seg: 62.1503, loss: 0.9020 +2022-02-27 21:41:55,134 - mmseg - INFO - Iter [4050/160000] lr: 1.949e-05, eta: 11:03:02, time: 0.247, data_time: 0.003, memory: 56778, decode.loss_ce: 0.5899, decode.acc_seg: 62.7596, aux.loss_ce: 0.2497, aux.acc_seg: 62.2841, loss: 0.8396 +2022-02-27 21:42:07,380 - mmseg - INFO - Iter [4100/160000] lr: 1.949e-05, eta: 11:02:30, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 0.6457, decode.acc_seg: 61.0007, aux.loss_ce: 0.2705, aux.acc_seg: 60.9234, loss: 0.9162 +2022-02-27 21:42:19,765 - mmseg - INFO - Iter [4150/160000] lr: 1.948e-05, eta: 11:02:03, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6298, decode.acc_seg: 62.3834, aux.loss_ce: 0.2607, aux.acc_seg: 62.3212, loss: 0.8905 +2022-02-27 21:42:32,099 - mmseg - INFO - Iter [4200/160000] lr: 1.948e-05, eta: 11:01:36, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6599, decode.acc_seg: 62.9234, aux.loss_ce: 0.2741, aux.acc_seg: 62.7689, loss: 0.9339 +2022-02-27 21:42:44,843 - mmseg - INFO - Iter [4250/160000] lr: 1.947e-05, eta: 11:01:23, time: 0.255, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6309, decode.acc_seg: 62.0810, aux.loss_ce: 0.2620, aux.acc_seg: 61.9005, loss: 0.8930 +2022-02-27 21:42:57,191 - mmseg - INFO - Iter [4300/160000] lr: 1.946e-05, eta: 11:00:56, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6555, decode.acc_seg: 62.7279, aux.loss_ce: 0.2707, aux.acc_seg: 62.6437, loss: 0.9263 +2022-02-27 21:43:09,569 - mmseg - INFO - Iter [4350/160000] lr: 1.946e-05, eta: 11:00:31, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6276, decode.acc_seg: 62.0239, aux.loss_ce: 0.2603, aux.acc_seg: 61.8376, loss: 0.8878 +2022-02-27 21:43:22,191 - mmseg - INFO - Iter [4400/160000] lr: 1.945e-05, eta: 11:00:13, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6581, decode.acc_seg: 61.4441, aux.loss_ce: 0.2712, aux.acc_seg: 61.2234, loss: 0.9293 +2022-02-27 21:43:34,748 - mmseg - INFO - Iter [4450/160000] lr: 1.944e-05, eta: 10:59:55, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6807, decode.acc_seg: 60.8350, aux.loss_ce: 0.2805, aux.acc_seg: 60.7465, loss: 0.9612 +2022-02-27 21:43:47,435 - mmseg - INFO - Iter [4500/160000] lr: 1.944e-05, eta: 10:59:41, time: 0.254, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6241, decode.acc_seg: 61.1623, aux.loss_ce: 0.2589, aux.acc_seg: 60.7337, loss: 0.8830 +2022-02-27 21:43:59,835 - mmseg - INFO - Iter [4550/160000] lr: 1.943e-05, eta: 10:59:17, time: 0.248, data_time: 0.003, memory: 56778, decode.loss_ce: 0.5819, decode.acc_seg: 61.9163, aux.loss_ce: 0.2442, aux.acc_seg: 61.4664, loss: 0.8261 +2022-02-27 21:44:12,048 - mmseg - INFO - Iter [4600/160000] lr: 1.943e-05, eta: 10:58:47, time: 0.244, data_time: 0.003, memory: 56778, decode.loss_ce: 0.6271, decode.acc_seg: 63.4940, aux.loss_ce: 0.2631, aux.acc_seg: 63.1339, loss: 0.8902 +2022-02-27 21:44:24,446 - mmseg - INFO - Iter [4650/160000] lr: 1.942e-05, eta: 10:58:24, time: 0.248, data_time: 0.003, memory: 56778, decode.loss_ce: 0.6287, decode.acc_seg: 63.3165, aux.loss_ce: 0.2623, aux.acc_seg: 62.7423, loss: 0.8910 +2022-02-27 21:44:36,933 - mmseg - INFO - Iter [4700/160000] lr: 1.941e-05, eta: 10:58:03, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6205, decode.acc_seg: 62.7465, aux.loss_ce: 0.2587, aux.acc_seg: 62.7623, loss: 0.8792 +2022-02-27 21:44:49,255 - mmseg - INFO - Iter [4750/160000] lr: 1.941e-05, eta: 10:57:38, time: 0.246, data_time: 0.003, memory: 56778, decode.loss_ce: 0.6832, decode.acc_seg: 63.3391, aux.loss_ce: 0.2826, aux.acc_seg: 62.8591, loss: 0.9658 +2022-02-27 21:45:01,545 - mmseg - INFO - Iter [4800/160000] lr: 1.940e-05, eta: 10:57:12, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6620, decode.acc_seg: 61.0434, aux.loss_ce: 0.2730, aux.acc_seg: 60.8644, loss: 0.9350 +2022-02-27 21:45:13,827 - mmseg - INFO - Iter [4850/160000] lr: 1.939e-05, eta: 10:56:46, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6488, decode.acc_seg: 60.6766, aux.loss_ce: 0.2664, aux.acc_seg: 60.5336, loss: 0.9152 +2022-02-27 21:45:26,310 - mmseg - INFO - Iter [4900/160000] lr: 1.939e-05, eta: 10:56:26, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6455, decode.acc_seg: 62.6875, aux.loss_ce: 0.2676, aux.acc_seg: 62.2354, loss: 0.9131 +2022-02-27 21:45:38,726 - mmseg - INFO - Iter [4950/160000] lr: 1.938e-05, eta: 10:56:04, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6494, decode.acc_seg: 61.9973, aux.loss_ce: 0.2706, aux.acc_seg: 61.6833, loss: 0.9199 +2022-02-27 21:45:51,121 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 21:45:51,122 - mmseg - INFO - Iter [5000/160000] lr: 1.938e-05, eta: 10:55:42, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6594, decode.acc_seg: 61.9962, aux.loss_ce: 0.2716, aux.acc_seg: 61.9102, loss: 0.9310 +2022-02-27 21:46:03,505 - mmseg - INFO - Iter [5050/160000] lr: 1.937e-05, eta: 10:55:20, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6457, decode.acc_seg: 62.1643, aux.loss_ce: 0.2673, aux.acc_seg: 62.0491, loss: 0.9131 +2022-02-27 21:46:18,261 - mmseg - INFO - Iter [5100/160000] lr: 1.936e-05, eta: 10:56:10, time: 0.295, data_time: 0.048, memory: 56778, decode.loss_ce: 0.6072, decode.acc_seg: 62.9737, aux.loss_ce: 0.2504, aux.acc_seg: 62.8155, loss: 0.8576 +2022-02-27 21:46:30,682 - mmseg - INFO - Iter [5150/160000] lr: 1.936e-05, eta: 10:55:49, time: 0.248, data_time: 0.003, memory: 56778, decode.loss_ce: 0.5990, decode.acc_seg: 63.6351, aux.loss_ce: 0.2511, aux.acc_seg: 63.4471, loss: 0.8501 +2022-02-27 21:46:43,197 - mmseg - INFO - Iter [5200/160000] lr: 1.935e-05, eta: 10:55:31, time: 0.250, data_time: 0.003, memory: 56778, decode.loss_ce: 0.5873, decode.acc_seg: 63.5967, aux.loss_ce: 0.2454, aux.acc_seg: 63.1970, loss: 0.8327 +2022-02-27 21:46:55,626 - mmseg - INFO - Iter [5250/160000] lr: 1.934e-05, eta: 10:55:10, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6082, decode.acc_seg: 63.3399, aux.loss_ce: 0.2528, aux.acc_seg: 63.1887, loss: 0.8610 +2022-02-27 21:47:07,866 - mmseg - INFO - Iter [5300/160000] lr: 1.934e-05, eta: 10:54:44, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 0.5899, decode.acc_seg: 63.4430, aux.loss_ce: 0.2449, aux.acc_seg: 63.2646, loss: 0.8349 +2022-02-27 21:47:20,231 - mmseg - INFO - Iter [5350/160000] lr: 1.933e-05, eta: 10:54:21, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5505, decode.acc_seg: 63.1867, aux.loss_ce: 0.2289, aux.acc_seg: 63.0075, loss: 0.7794 +2022-02-27 21:47:32,435 - mmseg - INFO - Iter [5400/160000] lr: 1.933e-05, eta: 10:53:55, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6040, decode.acc_seg: 62.2626, aux.loss_ce: 0.2499, aux.acc_seg: 62.0213, loss: 0.8538 +2022-02-27 21:47:44,783 - mmseg - INFO - Iter [5450/160000] lr: 1.932e-05, eta: 10:53:32, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5854, decode.acc_seg: 63.0166, aux.loss_ce: 0.2407, aux.acc_seg: 63.0471, loss: 0.8261 +2022-02-27 21:47:57,027 - mmseg - INFO - Iter [5500/160000] lr: 1.931e-05, eta: 10:53:07, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6060, decode.acc_seg: 63.0178, aux.loss_ce: 0.2518, aux.acc_seg: 62.8316, loss: 0.8579 +2022-02-27 21:48:09,476 - mmseg - INFO - Iter [5550/160000] lr: 1.931e-05, eta: 10:52:48, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6053, decode.acc_seg: 63.0856, aux.loss_ce: 0.2483, aux.acc_seg: 62.9203, loss: 0.8536 +2022-02-27 21:48:21,728 - mmseg - INFO - Iter [5600/160000] lr: 1.930e-05, eta: 10:52:24, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5895, decode.acc_seg: 63.3098, aux.loss_ce: 0.2436, aux.acc_seg: 63.1892, loss: 0.8331 +2022-02-27 21:48:34,066 - mmseg - INFO - Iter [5650/160000] lr: 1.929e-05, eta: 10:52:02, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6449, decode.acc_seg: 63.0433, aux.loss_ce: 0.2630, aux.acc_seg: 63.0925, loss: 0.9079 +2022-02-27 21:48:46,452 - mmseg - INFO - Iter [5700/160000] lr: 1.929e-05, eta: 10:51:41, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6452, decode.acc_seg: 62.0862, aux.loss_ce: 0.2621, aux.acc_seg: 61.9692, loss: 0.9073 +2022-02-27 21:48:58,889 - mmseg - INFO - Iter [5750/160000] lr: 1.928e-05, eta: 10:51:22, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6152, decode.acc_seg: 61.9395, aux.loss_ce: 0.2498, aux.acc_seg: 61.9985, loss: 0.8650 +2022-02-27 21:49:11,133 - mmseg - INFO - Iter [5800/160000] lr: 1.928e-05, eta: 10:50:58, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6276, decode.acc_seg: 61.8717, aux.loss_ce: 0.2547, aux.acc_seg: 61.9512, loss: 0.8823 +2022-02-27 21:49:23,389 - mmseg - INFO - Iter [5850/160000] lr: 1.927e-05, eta: 10:50:35, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5866, decode.acc_seg: 62.7086, aux.loss_ce: 0.2411, aux.acc_seg: 62.5929, loss: 0.8278 +2022-02-27 21:49:35,787 - mmseg - INFO - Iter [5900/160000] lr: 1.926e-05, eta: 10:50:15, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5998, decode.acc_seg: 63.6701, aux.loss_ce: 0.2455, aux.acc_seg: 63.6820, loss: 0.8453 +2022-02-27 21:49:48,217 - mmseg - INFO - Iter [5950/160000] lr: 1.926e-05, eta: 10:49:57, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6169, decode.acc_seg: 62.7204, aux.loss_ce: 0.2529, aux.acc_seg: 62.8307, loss: 0.8698 +2022-02-27 21:50:00,786 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 21:50:00,786 - mmseg - INFO - Iter [6000/160000] lr: 1.925e-05, eta: 10:49:42, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6394, decode.acc_seg: 63.6893, aux.loss_ce: 0.2658, aux.acc_seg: 63.2629, loss: 0.9052 +2022-02-27 21:50:13,107 - mmseg - INFO - Iter [6050/160000] lr: 1.924e-05, eta: 10:49:20, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5925, decode.acc_seg: 63.1434, aux.loss_ce: 0.2427, aux.acc_seg: 62.9973, loss: 0.8351 +2022-02-27 21:50:25,343 - mmseg - INFO - Iter [6100/160000] lr: 1.924e-05, eta: 10:48:57, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6136, decode.acc_seg: 62.8991, aux.loss_ce: 0.2513, aux.acc_seg: 62.5940, loss: 0.8649 +2022-02-27 21:50:37,836 - mmseg - INFO - Iter [6150/160000] lr: 1.923e-05, eta: 10:48:41, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5694, decode.acc_seg: 64.3364, aux.loss_ce: 0.2322, aux.acc_seg: 64.3056, loss: 0.8016 +2022-02-27 21:50:50,391 - mmseg - INFO - Iter [6200/160000] lr: 1.923e-05, eta: 10:48:25, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6133, decode.acc_seg: 63.4069, aux.loss_ce: 0.2519, aux.acc_seg: 63.0546, loss: 0.8652 +2022-02-27 21:51:02,777 - mmseg - INFO - Iter [6250/160000] lr: 1.922e-05, eta: 10:48:07, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5877, decode.acc_seg: 62.7515, aux.loss_ce: 0.2420, aux.acc_seg: 62.5836, loss: 0.8297 +2022-02-27 21:51:15,102 - mmseg - INFO - Iter [6300/160000] lr: 1.921e-05, eta: 10:47:46, time: 0.247, data_time: 0.003, memory: 56778, decode.loss_ce: 0.5774, decode.acc_seg: 63.1812, aux.loss_ce: 0.2343, aux.acc_seg: 63.1517, loss: 0.8118 +2022-02-27 21:51:29,657 - mmseg - INFO - Iter [6350/160000] lr: 1.921e-05, eta: 10:48:20, time: 0.291, data_time: 0.050, memory: 56778, decode.loss_ce: 0.5795, decode.acc_seg: 63.1099, aux.loss_ce: 0.2399, aux.acc_seg: 62.8243, loss: 0.8194 +2022-02-27 21:51:42,116 - mmseg - INFO - Iter [6400/160000] lr: 1.920e-05, eta: 10:48:02, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5696, decode.acc_seg: 64.6703, aux.loss_ce: 0.2361, aux.acc_seg: 64.4306, loss: 0.8057 +2022-02-27 21:51:54,466 - mmseg - INFO - Iter [6450/160000] lr: 1.919e-05, eta: 10:47:42, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.6066, decode.acc_seg: 63.2415, aux.loss_ce: 0.2484, aux.acc_seg: 62.9386, loss: 0.8550 +2022-02-27 21:52:06,778 - mmseg - INFO - Iter [6500/160000] lr: 1.919e-05, eta: 10:47:22, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5555, decode.acc_seg: 64.4540, aux.loss_ce: 0.2315, aux.acc_seg: 64.0118, loss: 0.7869 +2022-02-27 21:52:19,186 - mmseg - INFO - Iter [6550/160000] lr: 1.918e-05, eta: 10:47:03, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5642, decode.acc_seg: 64.9962, aux.loss_ce: 0.2309, aux.acc_seg: 65.0250, loss: 0.7951 +2022-02-27 21:52:31,689 - mmseg - INFO - Iter [6600/160000] lr: 1.918e-05, eta: 10:46:47, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5546, decode.acc_seg: 63.9586, aux.loss_ce: 0.2278, aux.acc_seg: 63.6942, loss: 0.7824 +2022-02-27 21:52:44,237 - mmseg - INFO - Iter [6650/160000] lr: 1.917e-05, eta: 10:46:32, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5861, decode.acc_seg: 63.0195, aux.loss_ce: 0.2390, aux.acc_seg: 62.9447, loss: 0.8251 +2022-02-27 21:52:56,504 - mmseg - INFO - Iter [6700/160000] lr: 1.916e-05, eta: 10:46:11, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 0.5635, decode.acc_seg: 63.2379, aux.loss_ce: 0.2329, aux.acc_seg: 63.1483, loss: 0.7964 +2022-02-27 21:53:08,763 - mmseg - INFO - Iter [6750/160000] lr: 1.916e-05, eta: 10:45:49, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 0.5626, decode.acc_seg: 62.5190, aux.loss_ce: 0.2321, aux.acc_seg: 62.4203, loss: 0.7946 +2022-02-27 21:53:21,123 - mmseg - INFO - Iter [6800/160000] lr: 1.915e-05, eta: 10:45:30, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5360, decode.acc_seg: 64.5312, aux.loss_ce: 0.2199, aux.acc_seg: 64.2183, loss: 0.7559 +2022-02-27 21:53:33,344 - mmseg - INFO - Iter [6850/160000] lr: 1.914e-05, eta: 10:45:08, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5596, decode.acc_seg: 62.9562, aux.loss_ce: 0.2312, aux.acc_seg: 62.5843, loss: 0.7908 +2022-02-27 21:53:45,645 - mmseg - INFO - Iter [6900/160000] lr: 1.914e-05, eta: 10:44:48, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5914, decode.acc_seg: 63.6226, aux.loss_ce: 0.2416, aux.acc_seg: 63.5775, loss: 0.8330 +2022-02-27 21:53:57,862 - mmseg - INFO - Iter [6950/160000] lr: 1.913e-05, eta: 10:44:26, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5658, decode.acc_seg: 64.2462, aux.loss_ce: 0.2340, aux.acc_seg: 63.8777, loss: 0.7998 +2022-02-27 21:54:10,314 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 21:54:10,314 - mmseg - INFO - Iter [7000/160000] lr: 1.913e-05, eta: 10:44:10, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5547, decode.acc_seg: 64.4869, aux.loss_ce: 0.2285, aux.acc_seg: 64.3758, loss: 0.7832 +2022-02-27 21:54:22,614 - mmseg - INFO - Iter [7050/160000] lr: 1.912e-05, eta: 10:43:50, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5413, decode.acc_seg: 62.3689, aux.loss_ce: 0.2224, aux.acc_seg: 62.5883, loss: 0.7637 +2022-02-27 21:54:35,194 - mmseg - INFO - Iter [7100/160000] lr: 1.911e-05, eta: 10:43:36, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5315, decode.acc_seg: 62.7494, aux.loss_ce: 0.2176, aux.acc_seg: 62.9548, loss: 0.7491 +2022-02-27 21:54:47,565 - mmseg - INFO - Iter [7150/160000] lr: 1.911e-05, eta: 10:43:18, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5502, decode.acc_seg: 62.9307, aux.loss_ce: 0.2280, aux.acc_seg: 62.5445, loss: 0.7782 +2022-02-27 21:54:59,760 - mmseg - INFO - Iter [7200/160000] lr: 1.910e-05, eta: 10:42:56, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5370, decode.acc_seg: 64.5466, aux.loss_ce: 0.2224, aux.acc_seg: 64.4728, loss: 0.7594 +2022-02-27 21:55:12,031 - mmseg - INFO - Iter [7250/160000] lr: 1.909e-05, eta: 10:42:36, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5677, decode.acc_seg: 62.7498, aux.loss_ce: 0.2291, aux.acc_seg: 62.8855, loss: 0.7968 +2022-02-27 21:55:24,310 - mmseg - INFO - Iter [7300/160000] lr: 1.909e-05, eta: 10:42:16, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5371, decode.acc_seg: 63.4923, aux.loss_ce: 0.2212, aux.acc_seg: 63.1875, loss: 0.7583 +2022-02-27 21:55:36,695 - mmseg - INFO - Iter [7350/160000] lr: 1.908e-05, eta: 10:41:59, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5532, decode.acc_seg: 64.4934, aux.loss_ce: 0.2279, aux.acc_seg: 64.3162, loss: 0.7811 +2022-02-27 21:55:49,039 - mmseg - INFO - Iter [7400/160000] lr: 1.908e-05, eta: 10:41:40, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5889, decode.acc_seg: 63.2214, aux.loss_ce: 0.2425, aux.acc_seg: 63.3692, loss: 0.8314 +2022-02-27 21:56:01,392 - mmseg - INFO - Iter [7450/160000] lr: 1.907e-05, eta: 10:41:23, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5570, decode.acc_seg: 63.2355, aux.loss_ce: 0.2267, aux.acc_seg: 63.2925, loss: 0.7838 +2022-02-27 21:56:13,619 - mmseg - INFO - Iter [7500/160000] lr: 1.906e-05, eta: 10:41:02, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5655, decode.acc_seg: 63.8986, aux.loss_ce: 0.2309, aux.acc_seg: 63.6623, loss: 0.7965 +2022-02-27 21:56:25,943 - mmseg - INFO - Iter [7550/160000] lr: 1.906e-05, eta: 10:40:44, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5717, decode.acc_seg: 63.5766, aux.loss_ce: 0.2333, aux.acc_seg: 63.5228, loss: 0.8050 +2022-02-27 21:56:40,652 - mmseg - INFO - Iter [7600/160000] lr: 1.905e-05, eta: 10:41:13, time: 0.294, data_time: 0.047, memory: 56778, decode.loss_ce: 0.5529, decode.acc_seg: 63.8981, aux.loss_ce: 0.2279, aux.acc_seg: 63.8202, loss: 0.7808 +2022-02-27 21:56:53,127 - mmseg - INFO - Iter [7650/160000] lr: 1.904e-05, eta: 10:40:58, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4907, decode.acc_seg: 64.4918, aux.loss_ce: 0.2051, aux.acc_seg: 64.1964, loss: 0.6958 +2022-02-27 21:57:05,482 - mmseg - INFO - Iter [7700/160000] lr: 1.904e-05, eta: 10:40:40, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5594, decode.acc_seg: 66.0043, aux.loss_ce: 0.2307, aux.acc_seg: 65.8187, loss: 0.7901 +2022-02-27 21:57:17,734 - mmseg - INFO - Iter [7750/160000] lr: 1.903e-05, eta: 10:40:20, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5570, decode.acc_seg: 63.6724, aux.loss_ce: 0.2313, aux.acc_seg: 63.4781, loss: 0.7883 +2022-02-27 21:57:30,619 - mmseg - INFO - Iter [7800/160000] lr: 1.903e-05, eta: 10:40:13, time: 0.258, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5286, decode.acc_seg: 63.7635, aux.loss_ce: 0.2198, aux.acc_seg: 63.7766, loss: 0.7484 +2022-02-27 21:57:43,085 - mmseg - INFO - Iter [7850/160000] lr: 1.902e-05, eta: 10:39:57, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5249, decode.acc_seg: 64.3042, aux.loss_ce: 0.2162, aux.acc_seg: 64.1656, loss: 0.7411 +2022-02-27 21:57:55,389 - mmseg - INFO - Iter [7900/160000] lr: 1.901e-05, eta: 10:39:38, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5660, decode.acc_seg: 63.9139, aux.loss_ce: 0.2314, aux.acc_seg: 63.6979, loss: 0.7973 +2022-02-27 21:58:07,723 - mmseg - INFO - Iter [7950/160000] lr: 1.901e-05, eta: 10:39:20, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5265, decode.acc_seg: 65.2345, aux.loss_ce: 0.2153, aux.acc_seg: 65.1149, loss: 0.7418 +2022-02-27 21:58:20,083 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 21:58:20,084 - mmseg - INFO - Iter [8000/160000] lr: 1.900e-05, eta: 10:39:03, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5594, decode.acc_seg: 62.8989, aux.loss_ce: 0.2302, aux.acc_seg: 62.7044, loss: 0.7896 +2022-02-27 21:58:32,375 - mmseg - INFO - Iter [8050/160000] lr: 1.899e-05, eta: 10:38:44, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5500, decode.acc_seg: 65.7034, aux.loss_ce: 0.2240, aux.acc_seg: 65.6994, loss: 0.7741 +2022-02-27 21:58:44,770 - mmseg - INFO - Iter [8100/160000] lr: 1.899e-05, eta: 10:38:28, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5332, decode.acc_seg: 63.0160, aux.loss_ce: 0.2180, aux.acc_seg: 63.0541, loss: 0.7512 +2022-02-27 21:58:57,151 - mmseg - INFO - Iter [8150/160000] lr: 1.898e-05, eta: 10:38:11, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5292, decode.acc_seg: 65.8792, aux.loss_ce: 0.2197, aux.acc_seg: 65.5963, loss: 0.7489 +2022-02-27 21:59:09,628 - mmseg - INFO - Iter [8200/160000] lr: 1.898e-05, eta: 10:37:56, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5338, decode.acc_seg: 64.9373, aux.loss_ce: 0.2200, aux.acc_seg: 64.6388, loss: 0.7538 +2022-02-27 21:59:22,293 - mmseg - INFO - Iter [8250/160000] lr: 1.897e-05, eta: 10:37:44, time: 0.253, data_time: 0.005, memory: 56778, decode.loss_ce: 0.5414, decode.acc_seg: 64.4568, aux.loss_ce: 0.2244, aux.acc_seg: 64.2983, loss: 0.7658 +2022-02-27 21:59:34,492 - mmseg - INFO - Iter [8300/160000] lr: 1.896e-05, eta: 10:37:24, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5863, decode.acc_seg: 65.1951, aux.loss_ce: 0.2415, aux.acc_seg: 65.0879, loss: 0.8278 +2022-02-27 21:59:46,726 - mmseg - INFO - Iter [8350/160000] lr: 1.896e-05, eta: 10:37:05, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 0.5553, decode.acc_seg: 63.2235, aux.loss_ce: 0.2259, aux.acc_seg: 63.4363, loss: 0.7813 +2022-02-27 21:59:58,956 - mmseg - INFO - Iter [8400/160000] lr: 1.895e-05, eta: 10:36:45, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 0.5221, decode.acc_seg: 65.7705, aux.loss_ce: 0.2162, aux.acc_seg: 65.3397, loss: 0.7383 +2022-02-27 22:00:11,499 - mmseg - INFO - Iter [8450/160000] lr: 1.894e-05, eta: 10:36:32, time: 0.251, data_time: 0.003, memory: 56778, decode.loss_ce: 0.5265, decode.acc_seg: 63.3789, aux.loss_ce: 0.2169, aux.acc_seg: 63.4009, loss: 0.7434 +2022-02-27 22:00:23,917 - mmseg - INFO - Iter [8500/160000] lr: 1.894e-05, eta: 10:36:16, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5620, decode.acc_seg: 65.4210, aux.loss_ce: 0.2302, aux.acc_seg: 65.3771, loss: 0.7921 +2022-02-27 22:00:36,339 - mmseg - INFO - Iter [8550/160000] lr: 1.893e-05, eta: 10:36:00, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5620, decode.acc_seg: 64.4793, aux.loss_ce: 0.2306, aux.acc_seg: 64.2247, loss: 0.7926 +2022-02-27 22:00:49,027 - mmseg - INFO - Iter [8600/160000] lr: 1.893e-05, eta: 10:35:49, time: 0.254, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5419, decode.acc_seg: 65.5295, aux.loss_ce: 0.2205, aux.acc_seg: 65.5132, loss: 0.7624 +2022-02-27 22:01:01,383 - mmseg - INFO - Iter [8650/160000] lr: 1.892e-05, eta: 10:35:32, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5349, decode.acc_seg: 65.7938, aux.loss_ce: 0.2193, aux.acc_seg: 65.6075, loss: 0.7542 +2022-02-27 22:01:13,683 - mmseg - INFO - Iter [8700/160000] lr: 1.891e-05, eta: 10:35:14, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5777, decode.acc_seg: 65.0422, aux.loss_ce: 0.2339, aux.acc_seg: 64.9905, loss: 0.8115 +2022-02-27 22:01:25,900 - mmseg - INFO - Iter [8750/160000] lr: 1.891e-05, eta: 10:34:55, time: 0.244, data_time: 0.003, memory: 56778, decode.loss_ce: 0.5695, decode.acc_seg: 63.8509, aux.loss_ce: 0.2303, aux.acc_seg: 63.6551, loss: 0.7998 +2022-02-27 22:01:38,187 - mmseg - INFO - Iter [8800/160000] lr: 1.890e-05, eta: 10:34:37, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5502, decode.acc_seg: 63.3080, aux.loss_ce: 0.2233, aux.acc_seg: 63.3779, loss: 0.7736 +2022-02-27 22:01:52,805 - mmseg - INFO - Iter [8850/160000] lr: 1.889e-05, eta: 10:34:59, time: 0.293, data_time: 0.048, memory: 56778, decode.loss_ce: 0.5269, decode.acc_seg: 64.4630, aux.loss_ce: 0.2197, aux.acc_seg: 63.9797, loss: 0.7466 +2022-02-27 22:02:05,231 - mmseg - INFO - Iter [8900/160000] lr: 1.889e-05, eta: 10:34:44, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5149, decode.acc_seg: 65.3999, aux.loss_ce: 0.2126, aux.acc_seg: 65.2730, loss: 0.7275 +2022-02-27 22:02:17,671 - mmseg - INFO - Iter [8950/160000] lr: 1.888e-05, eta: 10:34:28, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5072, decode.acc_seg: 66.0794, aux.loss_ce: 0.2072, aux.acc_seg: 66.0789, loss: 0.7144 +2022-02-27 22:02:29,933 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 22:02:29,934 - mmseg - INFO - Iter [9000/160000] lr: 1.888e-05, eta: 10:34:10, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4994, decode.acc_seg: 64.9567, aux.loss_ce: 0.2068, aux.acc_seg: 64.8780, loss: 0.7062 +2022-02-27 22:02:42,121 - mmseg - INFO - Iter [9050/160000] lr: 1.887e-05, eta: 10:33:51, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5134, decode.acc_seg: 66.0342, aux.loss_ce: 0.2126, aux.acc_seg: 65.8300, loss: 0.7259 +2022-02-27 22:02:54,357 - mmseg - INFO - Iter [9100/160000] lr: 1.886e-05, eta: 10:33:32, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4932, decode.acc_seg: 64.8764, aux.loss_ce: 0.2030, aux.acc_seg: 64.8685, loss: 0.6962 +2022-02-27 22:03:06,666 - mmseg - INFO - Iter [9150/160000] lr: 1.886e-05, eta: 10:33:15, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5412, decode.acc_seg: 65.0796, aux.loss_ce: 0.2213, aux.acc_seg: 65.0027, loss: 0.7625 +2022-02-27 22:03:19,048 - mmseg - INFO - Iter [9200/160000] lr: 1.885e-05, eta: 10:32:59, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5329, decode.acc_seg: 65.3473, aux.loss_ce: 0.2198, aux.acc_seg: 65.2838, loss: 0.7527 +2022-02-27 22:03:31,344 - mmseg - INFO - Iter [9250/160000] lr: 1.884e-05, eta: 10:32:41, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5034, decode.acc_seg: 64.9406, aux.loss_ce: 0.2084, aux.acc_seg: 64.5472, loss: 0.7118 +2022-02-27 22:03:43,774 - mmseg - INFO - Iter [9300/160000] lr: 1.884e-05, eta: 10:32:26, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5006, decode.acc_seg: 65.9824, aux.loss_ce: 0.2052, aux.acc_seg: 66.0092, loss: 0.7058 +2022-02-27 22:03:56,210 - mmseg - INFO - Iter [9350/160000] lr: 1.883e-05, eta: 10:32:11, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5117, decode.acc_seg: 65.8905, aux.loss_ce: 0.2141, aux.acc_seg: 65.5618, loss: 0.7257 +2022-02-27 22:04:08,437 - mmseg - INFO - Iter [9400/160000] lr: 1.883e-05, eta: 10:31:52, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5122, decode.acc_seg: 64.2864, aux.loss_ce: 0.2099, aux.acc_seg: 64.3260, loss: 0.7221 +2022-02-27 22:04:20,752 - mmseg - INFO - Iter [9450/160000] lr: 1.882e-05, eta: 10:31:36, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5713, decode.acc_seg: 65.0400, aux.loss_ce: 0.2340, aux.acc_seg: 65.1150, loss: 0.8052 +2022-02-27 22:04:33,010 - mmseg - INFO - Iter [9500/160000] lr: 1.881e-05, eta: 10:31:18, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 0.5323, decode.acc_seg: 64.3457, aux.loss_ce: 0.2196, aux.acc_seg: 64.0749, loss: 0.7518 +2022-02-27 22:04:45,325 - mmseg - INFO - Iter [9550/160000] lr: 1.881e-05, eta: 10:31:01, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5363, decode.acc_seg: 65.5170, aux.loss_ce: 0.2195, aux.acc_seg: 65.5645, loss: 0.7558 +2022-02-27 22:04:57,546 - mmseg - INFO - Iter [9600/160000] lr: 1.880e-05, eta: 10:30:42, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4967, decode.acc_seg: 64.6857, aux.loss_ce: 0.2060, aux.acc_seg: 64.2932, loss: 0.7027 +2022-02-27 22:05:10,153 - mmseg - INFO - Iter [9650/160000] lr: 1.879e-05, eta: 10:30:31, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5255, decode.acc_seg: 66.6341, aux.loss_ce: 0.2148, aux.acc_seg: 66.4127, loss: 0.7403 +2022-02-27 22:05:22,328 - mmseg - INFO - Iter [9700/160000] lr: 1.879e-05, eta: 10:30:12, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5188, decode.acc_seg: 64.8917, aux.loss_ce: 0.2122, aux.acc_seg: 64.7195, loss: 0.7310 +2022-02-27 22:05:34,562 - mmseg - INFO - Iter [9750/160000] lr: 1.878e-05, eta: 10:29:54, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5159, decode.acc_seg: 64.3539, aux.loss_ce: 0.2103, aux.acc_seg: 64.3567, loss: 0.7262 +2022-02-27 22:05:46,856 - mmseg - INFO - Iter [9800/160000] lr: 1.878e-05, eta: 10:29:37, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4900, decode.acc_seg: 64.2852, aux.loss_ce: 0.2029, aux.acc_seg: 64.0578, loss: 0.6929 +2022-02-27 22:05:59,169 - mmseg - INFO - Iter [9850/160000] lr: 1.877e-05, eta: 10:29:20, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4996, decode.acc_seg: 64.9538, aux.loss_ce: 0.2058, aux.acc_seg: 65.0313, loss: 0.7054 +2022-02-27 22:06:11,619 - mmseg - INFO - Iter [9900/160000] lr: 1.876e-05, eta: 10:29:06, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5088, decode.acc_seg: 63.3909, aux.loss_ce: 0.2084, aux.acc_seg: 63.2338, loss: 0.7172 +2022-02-27 22:06:24,090 - mmseg - INFO - Iter [9950/160000] lr: 1.876e-05, eta: 10:28:52, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5137, decode.acc_seg: 65.1139, aux.loss_ce: 0.2115, aux.acc_seg: 64.8782, loss: 0.7252 +2022-02-27 22:06:36,376 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 22:06:36,376 - mmseg - INFO - Iter [10000/160000] lr: 1.875e-05, eta: 10:28:35, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5244, decode.acc_seg: 66.0795, aux.loss_ce: 0.2154, aux.acc_seg: 65.9589, loss: 0.7397 +2022-02-27 22:06:48,642 - mmseg - INFO - Iter [10050/160000] lr: 1.874e-05, eta: 10:28:18, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 0.5143, decode.acc_seg: 64.4201, aux.loss_ce: 0.2131, aux.acc_seg: 64.1784, loss: 0.7274 +2022-02-27 22:07:00,909 - mmseg - INFO - Iter [10100/160000] lr: 1.874e-05, eta: 10:28:01, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5301, decode.acc_seg: 64.1513, aux.loss_ce: 0.2148, aux.acc_seg: 64.2638, loss: 0.7449 +2022-02-27 22:07:15,556 - mmseg - INFO - Iter [10150/160000] lr: 1.873e-05, eta: 10:28:19, time: 0.293, data_time: 0.051, memory: 56778, decode.loss_ce: 0.4796, decode.acc_seg: 66.4829, aux.loss_ce: 0.1966, aux.acc_seg: 66.1264, loss: 0.6762 +2022-02-27 22:07:27,765 - mmseg - INFO - Iter [10200/160000] lr: 1.873e-05, eta: 10:28:01, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4855, decode.acc_seg: 67.0157, aux.loss_ce: 0.2021, aux.acc_seg: 66.5883, loss: 0.6877 +2022-02-27 22:07:40,158 - mmseg - INFO - Iter [10250/160000] lr: 1.872e-05, eta: 10:27:45, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4723, decode.acc_seg: 65.5420, aux.loss_ce: 0.1966, aux.acc_seg: 65.3137, loss: 0.6689 +2022-02-27 22:07:52,347 - mmseg - INFO - Iter [10300/160000] lr: 1.871e-05, eta: 10:27:27, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4941, decode.acc_seg: 66.2764, aux.loss_ce: 0.2030, aux.acc_seg: 65.9124, loss: 0.6971 +2022-02-27 22:08:04,680 - mmseg - INFO - Iter [10350/160000] lr: 1.871e-05, eta: 10:27:11, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4662, decode.acc_seg: 64.7165, aux.loss_ce: 0.1898, aux.acc_seg: 64.6191, loss: 0.6560 +2022-02-27 22:08:16,979 - mmseg - INFO - Iter [10400/160000] lr: 1.870e-05, eta: 10:26:54, time: 0.246, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4891, decode.acc_seg: 65.9615, aux.loss_ce: 0.2049, aux.acc_seg: 65.5387, loss: 0.6940 +2022-02-27 22:08:29,194 - mmseg - INFO - Iter [10450/160000] lr: 1.869e-05, eta: 10:26:37, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4833, decode.acc_seg: 67.4236, aux.loss_ce: 0.1989, aux.acc_seg: 67.1939, loss: 0.6822 +2022-02-27 22:08:41,608 - mmseg - INFO - Iter [10500/160000] lr: 1.869e-05, eta: 10:26:22, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4998, decode.acc_seg: 65.3227, aux.loss_ce: 0.2033, aux.acc_seg: 65.3188, loss: 0.7030 +2022-02-27 22:08:53,970 - mmseg - INFO - Iter [10550/160000] lr: 1.868e-05, eta: 10:26:07, time: 0.247, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4991, decode.acc_seg: 65.5873, aux.loss_ce: 0.2034, aux.acc_seg: 65.6434, loss: 0.7025 +2022-02-27 22:09:06,538 - mmseg - INFO - Iter [10600/160000] lr: 1.868e-05, eta: 10:25:54, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4872, decode.acc_seg: 65.1796, aux.loss_ce: 0.2012, aux.acc_seg: 64.7871, loss: 0.6884 +2022-02-27 22:09:18,812 - mmseg - INFO - Iter [10650/160000] lr: 1.867e-05, eta: 10:25:37, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5155, decode.acc_seg: 65.1922, aux.loss_ce: 0.2128, aux.acc_seg: 64.9217, loss: 0.7283 +2022-02-27 22:09:30,971 - mmseg - INFO - Iter [10700/160000] lr: 1.866e-05, eta: 10:25:19, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5334, decode.acc_seg: 63.7485, aux.loss_ce: 0.2223, aux.acc_seg: 63.7307, loss: 0.7557 +2022-02-27 22:09:43,179 - mmseg - INFO - Iter [10750/160000] lr: 1.866e-05, eta: 10:25:01, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5014, decode.acc_seg: 67.4901, aux.loss_ce: 0.2074, aux.acc_seg: 67.1031, loss: 0.7089 +2022-02-27 22:09:55,454 - mmseg - INFO - Iter [10800/160000] lr: 1.865e-05, eta: 10:24:45, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4710, decode.acc_seg: 66.5611, aux.loss_ce: 0.1953, aux.acc_seg: 66.2637, loss: 0.6663 +2022-02-27 22:10:07,670 - mmseg - INFO - Iter [10850/160000] lr: 1.864e-05, eta: 10:24:28, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4973, decode.acc_seg: 64.2701, aux.loss_ce: 0.2048, aux.acc_seg: 64.1157, loss: 0.7020 +2022-02-27 22:10:19,962 - mmseg - INFO - Iter [10900/160000] lr: 1.864e-05, eta: 10:24:11, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5034, decode.acc_seg: 66.5073, aux.loss_ce: 0.2092, aux.acc_seg: 66.1503, loss: 0.7127 +2022-02-27 22:10:32,180 - mmseg - INFO - Iter [10950/160000] lr: 1.863e-05, eta: 10:23:54, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5022, decode.acc_seg: 65.3347, aux.loss_ce: 0.2084, aux.acc_seg: 65.0222, loss: 0.7106 +2022-02-27 22:10:44,543 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 22:10:44,543 - mmseg - INFO - Iter [11000/160000] lr: 1.863e-05, eta: 10:23:39, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4918, decode.acc_seg: 64.3305, aux.loss_ce: 0.2024, aux.acc_seg: 63.9952, loss: 0.6942 +2022-02-27 22:10:56,970 - mmseg - INFO - Iter [11050/160000] lr: 1.862e-05, eta: 10:23:25, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4861, decode.acc_seg: 66.2486, aux.loss_ce: 0.2007, aux.acc_seg: 66.0549, loss: 0.6868 +2022-02-27 22:11:09,277 - mmseg - INFO - Iter [11100/160000] lr: 1.861e-05, eta: 10:23:09, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4824, decode.acc_seg: 64.6635, aux.loss_ce: 0.2004, aux.acc_seg: 64.4643, loss: 0.6827 +2022-02-27 22:11:21,590 - mmseg - INFO - Iter [11150/160000] lr: 1.861e-05, eta: 10:22:53, time: 0.246, data_time: 0.003, memory: 56778, decode.loss_ce: 0.5067, decode.acc_seg: 64.7896, aux.loss_ce: 0.2090, aux.acc_seg: 64.6479, loss: 0.7156 +2022-02-27 22:11:33,837 - mmseg - INFO - Iter [11200/160000] lr: 1.860e-05, eta: 10:22:36, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5089, decode.acc_seg: 66.8609, aux.loss_ce: 0.2109, aux.acc_seg: 66.6816, loss: 0.7198 +2022-02-27 22:11:46,246 - mmseg - INFO - Iter [11250/160000] lr: 1.859e-05, eta: 10:22:22, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4910, decode.acc_seg: 64.7741, aux.loss_ce: 0.2012, aux.acc_seg: 64.5761, loss: 0.6922 +2022-02-27 22:11:58,495 - mmseg - INFO - Iter [11300/160000] lr: 1.859e-05, eta: 10:22:05, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 0.5176, decode.acc_seg: 65.1419, aux.loss_ce: 0.2131, aux.acc_seg: 65.0089, loss: 0.7307 +2022-02-27 22:12:10,701 - mmseg - INFO - Iter [11350/160000] lr: 1.858e-05, eta: 10:21:48, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5183, decode.acc_seg: 64.8104, aux.loss_ce: 0.2131, aux.acc_seg: 64.6887, loss: 0.7314 +2022-02-27 22:12:25,197 - mmseg - INFO - Iter [11400/160000] lr: 1.858e-05, eta: 10:22:01, time: 0.290, data_time: 0.048, memory: 56778, decode.loss_ce: 0.4897, decode.acc_seg: 65.2104, aux.loss_ce: 0.1977, aux.acc_seg: 65.0287, loss: 0.6874 +2022-02-27 22:12:37,433 - mmseg - INFO - Iter [11450/160000] lr: 1.857e-05, eta: 10:21:44, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4293, decode.acc_seg: 67.4014, aux.loss_ce: 0.1788, aux.acc_seg: 67.2707, loss: 0.6081 +2022-02-27 22:12:49,711 - mmseg - INFO - Iter [11500/160000] lr: 1.856e-05, eta: 10:21:28, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4467, decode.acc_seg: 66.8559, aux.loss_ce: 0.1872, aux.acc_seg: 66.5416, loss: 0.6339 +2022-02-27 22:13:02,107 - mmseg - INFO - Iter [11550/160000] lr: 1.856e-05, eta: 10:21:14, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4826, decode.acc_seg: 66.7077, aux.loss_ce: 0.2004, aux.acc_seg: 66.5362, loss: 0.6831 +2022-02-27 22:13:14,466 - mmseg - INFO - Iter [11600/160000] lr: 1.855e-05, eta: 10:20:59, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4603, decode.acc_seg: 67.1447, aux.loss_ce: 0.1919, aux.acc_seg: 66.7719, loss: 0.6523 +2022-02-27 22:13:26,799 - mmseg - INFO - Iter [11650/160000] lr: 1.854e-05, eta: 10:20:43, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4816, decode.acc_seg: 63.9134, aux.loss_ce: 0.2000, aux.acc_seg: 63.4328, loss: 0.6816 +2022-02-27 22:13:39,164 - mmseg - INFO - Iter [11700/160000] lr: 1.854e-05, eta: 10:20:28, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.5029, decode.acc_seg: 66.0770, aux.loss_ce: 0.2082, aux.acc_seg: 65.7948, loss: 0.7111 +2022-02-27 22:13:51,401 - mmseg - INFO - Iter [11750/160000] lr: 1.853e-05, eta: 10:20:12, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4386, decode.acc_seg: 66.4908, aux.loss_ce: 0.1832, aux.acc_seg: 66.1936, loss: 0.6218 +2022-02-27 22:14:03,678 - mmseg - INFO - Iter [11800/160000] lr: 1.853e-05, eta: 10:19:56, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4722, decode.acc_seg: 66.9740, aux.loss_ce: 0.1976, aux.acc_seg: 66.5758, loss: 0.6697 +2022-02-27 22:14:16,123 - mmseg - INFO - Iter [11850/160000] lr: 1.852e-05, eta: 10:19:42, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4662, decode.acc_seg: 66.4614, aux.loss_ce: 0.1927, aux.acc_seg: 66.1455, loss: 0.6589 +2022-02-27 22:14:28,705 - mmseg - INFO - Iter [11900/160000] lr: 1.851e-05, eta: 10:19:30, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4906, decode.acc_seg: 66.4035, aux.loss_ce: 0.1997, aux.acc_seg: 66.5227, loss: 0.6903 +2022-02-27 22:14:40,989 - mmseg - INFO - Iter [11950/160000] lr: 1.851e-05, eta: 10:19:14, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4210, decode.acc_seg: 67.2003, aux.loss_ce: 0.1751, aux.acc_seg: 66.8932, loss: 0.5961 +2022-02-27 22:14:53,293 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 22:14:53,293 - mmseg - INFO - Iter [12000/160000] lr: 1.850e-05, eta: 10:18:58, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4607, decode.acc_seg: 65.6804, aux.loss_ce: 0.1906, aux.acc_seg: 65.4228, loss: 0.6513 +2022-02-27 22:15:05,552 - mmseg - INFO - Iter [12050/160000] lr: 1.849e-05, eta: 10:18:42, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4842, decode.acc_seg: 67.0796, aux.loss_ce: 0.2008, aux.acc_seg: 66.7661, loss: 0.6850 +2022-02-27 22:15:17,752 - mmseg - INFO - Iter [12100/160000] lr: 1.849e-05, eta: 10:18:25, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4970, decode.acc_seg: 66.1464, aux.loss_ce: 0.2057, aux.acc_seg: 65.7601, loss: 0.7028 +2022-02-27 22:15:30,030 - mmseg - INFO - Iter [12150/160000] lr: 1.848e-05, eta: 10:18:10, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4656, decode.acc_seg: 66.0845, aux.loss_ce: 0.1927, aux.acc_seg: 65.7732, loss: 0.6583 +2022-02-27 22:15:42,368 - mmseg - INFO - Iter [12200/160000] lr: 1.848e-05, eta: 10:17:54, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4596, decode.acc_seg: 67.8314, aux.loss_ce: 0.1901, aux.acc_seg: 67.6213, loss: 0.6497 +2022-02-27 22:15:54,658 - mmseg - INFO - Iter [12250/160000] lr: 1.847e-05, eta: 10:17:39, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4920, decode.acc_seg: 66.2014, aux.loss_ce: 0.2035, aux.acc_seg: 66.0951, loss: 0.6955 +2022-02-27 22:16:06,940 - mmseg - INFO - Iter [12300/160000] lr: 1.846e-05, eta: 10:17:23, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4931, decode.acc_seg: 65.7683, aux.loss_ce: 0.2035, aux.acc_seg: 65.4992, loss: 0.6966 +2022-02-27 22:16:19,298 - mmseg - INFO - Iter [12350/160000] lr: 1.846e-05, eta: 10:17:09, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4796, decode.acc_seg: 66.4010, aux.loss_ce: 0.1964, aux.acc_seg: 66.1711, loss: 0.6760 +2022-02-27 22:16:31,461 - mmseg - INFO - Iter [12400/160000] lr: 1.845e-05, eta: 10:16:52, time: 0.243, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4730, decode.acc_seg: 66.3053, aux.loss_ce: 0.1941, aux.acc_seg: 66.2912, loss: 0.6671 +2022-02-27 22:16:43,768 - mmseg - INFO - Iter [12450/160000] lr: 1.844e-05, eta: 10:16:36, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4886, decode.acc_seg: 65.8032, aux.loss_ce: 0.2015, aux.acc_seg: 65.5683, loss: 0.6901 +2022-02-27 22:16:56,000 - mmseg - INFO - Iter [12500/160000] lr: 1.844e-05, eta: 10:16:20, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4776, decode.acc_seg: 65.8565, aux.loss_ce: 0.1965, aux.acc_seg: 65.5239, loss: 0.6741 +2022-02-27 22:17:08,236 - mmseg - INFO - Iter [12550/160000] lr: 1.843e-05, eta: 10:16:04, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4917, decode.acc_seg: 66.0590, aux.loss_ce: 0.2015, aux.acc_seg: 65.7724, loss: 0.6932 +2022-02-27 22:17:20,755 - mmseg - INFO - Iter [12600/160000] lr: 1.843e-05, eta: 10:15:51, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4678, decode.acc_seg: 66.3745, aux.loss_ce: 0.1956, aux.acc_seg: 65.9555, loss: 0.6634 +2022-02-27 22:17:35,347 - mmseg - INFO - Iter [12650/160000] lr: 1.842e-05, eta: 10:16:03, time: 0.292, data_time: 0.047, memory: 56778, decode.loss_ce: 0.4867, decode.acc_seg: 66.4934, aux.loss_ce: 0.1997, aux.acc_seg: 66.3792, loss: 0.6865 +2022-02-27 22:17:47,591 - mmseg - INFO - Iter [12700/160000] lr: 1.841e-05, eta: 10:15:47, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4352, decode.acc_seg: 68.3084, aux.loss_ce: 0.1815, aux.acc_seg: 67.9022, loss: 0.6166 +2022-02-27 22:17:59,929 - mmseg - INFO - Iter [12750/160000] lr: 1.841e-05, eta: 10:15:32, time: 0.247, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4366, decode.acc_seg: 66.7947, aux.loss_ce: 0.1823, aux.acc_seg: 66.5486, loss: 0.6190 +2022-02-27 22:18:12,120 - mmseg - INFO - Iter [12800/160000] lr: 1.840e-05, eta: 10:15:15, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4543, decode.acc_seg: 68.0195, aux.loss_ce: 0.1907, aux.acc_seg: 67.5308, loss: 0.6450 +2022-02-27 22:18:24,392 - mmseg - INFO - Iter [12850/160000] lr: 1.839e-05, eta: 10:15:00, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4713, decode.acc_seg: 65.6852, aux.loss_ce: 0.1929, aux.acc_seg: 65.4152, loss: 0.6642 +2022-02-27 22:18:36,894 - mmseg - INFO - Iter [12900/160000] lr: 1.839e-05, eta: 10:14:47, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4475, decode.acc_seg: 67.7757, aux.loss_ce: 0.1865, aux.acc_seg: 67.3812, loss: 0.6339 +2022-02-27 22:18:49,140 - mmseg - INFO - Iter [12950/160000] lr: 1.838e-05, eta: 10:14:31, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4646, decode.acc_seg: 66.2295, aux.loss_ce: 0.1913, aux.acc_seg: 66.1706, loss: 0.6559 +2022-02-27 22:19:01,575 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 22:19:01,576 - mmseg - INFO - Iter [13000/160000] lr: 1.838e-05, eta: 10:14:17, time: 0.249, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4499, decode.acc_seg: 66.4048, aux.loss_ce: 0.1867, aux.acc_seg: 66.1351, loss: 0.6366 +2022-02-27 22:19:13,917 - mmseg - INFO - Iter [13050/160000] lr: 1.837e-05, eta: 10:14:03, time: 0.247, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4810, decode.acc_seg: 66.4048, aux.loss_ce: 0.2005, aux.acc_seg: 65.9374, loss: 0.6815 +2022-02-27 22:19:26,291 - mmseg - INFO - Iter [13100/160000] lr: 1.836e-05, eta: 10:13:48, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4760, decode.acc_seg: 66.5473, aux.loss_ce: 0.1961, aux.acc_seg: 66.2320, loss: 0.6722 +2022-02-27 22:19:38,543 - mmseg - INFO - Iter [13150/160000] lr: 1.836e-05, eta: 10:13:32, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4472, decode.acc_seg: 67.2537, aux.loss_ce: 0.1846, aux.acc_seg: 66.8986, loss: 0.6318 +2022-02-27 22:19:50,786 - mmseg - INFO - Iter [13200/160000] lr: 1.835e-05, eta: 10:13:17, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4616, decode.acc_seg: 64.8649, aux.loss_ce: 0.1890, aux.acc_seg: 64.5707, loss: 0.6507 +2022-02-27 22:20:03,069 - mmseg - INFO - Iter [13250/160000] lr: 1.834e-05, eta: 10:13:01, time: 0.246, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4413, decode.acc_seg: 68.4641, aux.loss_ce: 0.1819, aux.acc_seg: 68.3084, loss: 0.6232 +2022-02-27 22:20:15,260 - mmseg - INFO - Iter [13300/160000] lr: 1.834e-05, eta: 10:12:45, time: 0.244, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4723, decode.acc_seg: 66.0168, aux.loss_ce: 0.1964, aux.acc_seg: 65.6919, loss: 0.6687 +2022-02-27 22:20:27,535 - mmseg - INFO - Iter [13350/160000] lr: 1.833e-05, eta: 10:12:30, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4830, decode.acc_seg: 66.4081, aux.loss_ce: 0.1988, aux.acc_seg: 66.3269, loss: 0.6818 +2022-02-27 22:20:39,812 - mmseg - INFO - Iter [13400/160000] lr: 1.833e-05, eta: 10:12:14, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4794, decode.acc_seg: 65.6573, aux.loss_ce: 0.1972, aux.acc_seg: 65.5872, loss: 0.6766 +2022-02-27 22:20:52,247 - mmseg - INFO - Iter [13450/160000] lr: 1.832e-05, eta: 10:12:01, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4672, decode.acc_seg: 67.0108, aux.loss_ce: 0.1929, aux.acc_seg: 66.7823, loss: 0.6601 +2022-02-27 22:21:04,656 - mmseg - INFO - Iter [13500/160000] lr: 1.831e-05, eta: 10:11:47, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4363, decode.acc_seg: 67.1958, aux.loss_ce: 0.1804, aux.acc_seg: 66.8366, loss: 0.6167 +2022-02-27 22:21:16,946 - mmseg - INFO - Iter [13550/160000] lr: 1.831e-05, eta: 10:11:32, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4467, decode.acc_seg: 67.9824, aux.loss_ce: 0.1844, aux.acc_seg: 67.8554, loss: 0.6311 +2022-02-27 22:21:29,103 - mmseg - INFO - Iter [13600/160000] lr: 1.830e-05, eta: 10:11:15, time: 0.243, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4784, decode.acc_seg: 65.2703, aux.loss_ce: 0.1976, aux.acc_seg: 64.7665, loss: 0.6759 +2022-02-27 22:21:41,379 - mmseg - INFO - Iter [13650/160000] lr: 1.829e-05, eta: 10:11:00, time: 0.246, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4861, decode.acc_seg: 65.9677, aux.loss_ce: 0.1983, aux.acc_seg: 65.8483, loss: 0.6845 +2022-02-27 22:21:53,644 - mmseg - INFO - Iter [13700/160000] lr: 1.829e-05, eta: 10:10:45, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4638, decode.acc_seg: 67.7791, aux.loss_ce: 0.1923, aux.acc_seg: 67.4639, loss: 0.6560 +2022-02-27 22:22:05,779 - mmseg - INFO - Iter [13750/160000] lr: 1.828e-05, eta: 10:10:28, time: 0.243, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4782, decode.acc_seg: 68.1253, aux.loss_ce: 0.1977, aux.acc_seg: 67.9584, loss: 0.6759 +2022-02-27 22:22:17,970 - mmseg - INFO - Iter [13800/160000] lr: 1.828e-05, eta: 10:10:12, time: 0.244, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4700, decode.acc_seg: 65.6709, aux.loss_ce: 0.1941, aux.acc_seg: 65.5104, loss: 0.6640 +2022-02-27 22:22:30,492 - mmseg - INFO - Iter [13850/160000] lr: 1.827e-05, eta: 10:10:00, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4941, decode.acc_seg: 66.3699, aux.loss_ce: 0.2043, aux.acc_seg: 66.1688, loss: 0.6984 +2022-02-27 22:22:45,021 - mmseg - INFO - Iter [13900/160000] lr: 1.826e-05, eta: 10:10:08, time: 0.291, data_time: 0.051, memory: 56778, decode.loss_ce: 0.4689, decode.acc_seg: 66.2367, aux.loss_ce: 0.1930, aux.acc_seg: 65.8455, loss: 0.6619 +2022-02-27 22:22:57,307 - mmseg - INFO - Iter [13950/160000] lr: 1.826e-05, eta: 10:09:53, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4353, decode.acc_seg: 65.7443, aux.loss_ce: 0.1799, aux.acc_seg: 65.5680, loss: 0.6152 +2022-02-27 22:23:09,473 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 22:23:09,473 - mmseg - INFO - Iter [14000/160000] lr: 1.825e-05, eta: 10:09:37, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4235, decode.acc_seg: 67.6153, aux.loss_ce: 0.1776, aux.acc_seg: 67.1436, loss: 0.6011 +2022-02-27 22:23:21,714 - mmseg - INFO - Iter [14050/160000] lr: 1.824e-05, eta: 10:09:21, time: 0.245, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4433, decode.acc_seg: 66.2565, aux.loss_ce: 0.1836, aux.acc_seg: 66.1073, loss: 0.6269 +2022-02-27 22:23:34,059 - mmseg - INFO - Iter [14100/160000] lr: 1.824e-05, eta: 10:09:07, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4735, decode.acc_seg: 66.3716, aux.loss_ce: 0.1946, aux.acc_seg: 66.1093, loss: 0.6681 +2022-02-27 22:23:46,229 - mmseg - INFO - Iter [14150/160000] lr: 1.823e-05, eta: 10:08:51, time: 0.243, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4659, decode.acc_seg: 66.8718, aux.loss_ce: 0.1939, aux.acc_seg: 66.5675, loss: 0.6598 +2022-02-27 22:23:58,520 - mmseg - INFO - Iter [14200/160000] lr: 1.823e-05, eta: 10:08:36, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4124, decode.acc_seg: 68.0806, aux.loss_ce: 0.1737, aux.acc_seg: 67.8467, loss: 0.5861 +2022-02-27 22:24:10,698 - mmseg - INFO - Iter [14250/160000] lr: 1.822e-05, eta: 10:08:20, time: 0.244, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4165, decode.acc_seg: 67.6963, aux.loss_ce: 0.1751, aux.acc_seg: 67.3881, loss: 0.5916 +2022-02-27 22:24:22,869 - mmseg - INFO - Iter [14300/160000] lr: 1.821e-05, eta: 10:08:04, time: 0.243, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4290, decode.acc_seg: 67.2708, aux.loss_ce: 0.1775, aux.acc_seg: 66.9772, loss: 0.6065 +2022-02-27 22:24:35,333 - mmseg - INFO - Iter [14350/160000] lr: 1.821e-05, eta: 10:07:51, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4390, decode.acc_seg: 66.6782, aux.loss_ce: 0.1810, aux.acc_seg: 66.5551, loss: 0.6200 +2022-02-27 22:24:47,592 - mmseg - INFO - Iter [14400/160000] lr: 1.820e-05, eta: 10:07:36, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4426, decode.acc_seg: 67.4296, aux.loss_ce: 0.1850, aux.acc_seg: 67.1488, loss: 0.6276 +2022-02-27 22:24:59,753 - mmseg - INFO - Iter [14450/160000] lr: 1.819e-05, eta: 10:07:19, time: 0.243, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4392, decode.acc_seg: 67.6818, aux.loss_ce: 0.1812, aux.acc_seg: 67.4940, loss: 0.6204 +2022-02-27 22:25:11,968 - mmseg - INFO - Iter [14500/160000] lr: 1.819e-05, eta: 10:07:04, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4334, decode.acc_seg: 66.6488, aux.loss_ce: 0.1825, aux.acc_seg: 66.2853, loss: 0.6160 +2022-02-27 22:25:24,184 - mmseg - INFO - Iter [14550/160000] lr: 1.818e-05, eta: 10:06:48, time: 0.244, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4337, decode.acc_seg: 66.2852, aux.loss_ce: 0.1785, aux.acc_seg: 66.0841, loss: 0.6122 +2022-02-27 22:25:36,341 - mmseg - INFO - Iter [14600/160000] lr: 1.818e-05, eta: 10:06:32, time: 0.243, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4232, decode.acc_seg: 68.2762, aux.loss_ce: 0.1800, aux.acc_seg: 67.7584, loss: 0.6031 +2022-02-27 22:25:48,820 - mmseg - INFO - Iter [14650/160000] lr: 1.817e-05, eta: 10:06:19, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4499, decode.acc_seg: 67.2582, aux.loss_ce: 0.1864, aux.acc_seg: 66.8521, loss: 0.6364 +2022-02-27 22:26:01,173 - mmseg - INFO - Iter [14700/160000] lr: 1.816e-05, eta: 10:06:05, time: 0.247, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4418, decode.acc_seg: 66.6903, aux.loss_ce: 0.1850, aux.acc_seg: 66.2930, loss: 0.6268 +2022-02-27 22:26:13,678 - mmseg - INFO - Iter [14750/160000] lr: 1.816e-05, eta: 10:05:52, time: 0.250, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4299, decode.acc_seg: 67.6834, aux.loss_ce: 0.1792, aux.acc_seg: 67.3061, loss: 0.6090 +2022-02-27 22:26:26,045 - mmseg - INFO - Iter [14800/160000] lr: 1.815e-05, eta: 10:05:39, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4418, decode.acc_seg: 66.8646, aux.loss_ce: 0.1838, aux.acc_seg: 66.5320, loss: 0.6256 +2022-02-27 22:26:38,236 - mmseg - INFO - Iter [14850/160000] lr: 1.814e-05, eta: 10:05:23, time: 0.244, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4797, decode.acc_seg: 66.0142, aux.loss_ce: 0.1966, aux.acc_seg: 65.9832, loss: 0.6763 +2022-02-27 22:26:50,467 - mmseg - INFO - Iter [14900/160000] lr: 1.814e-05, eta: 10:05:08, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4414, decode.acc_seg: 66.8200, aux.loss_ce: 0.1825, aux.acc_seg: 66.7605, loss: 0.6239 +2022-02-27 22:27:02,769 - mmseg - INFO - Iter [14950/160000] lr: 1.813e-05, eta: 10:04:53, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4678, decode.acc_seg: 67.8956, aux.loss_ce: 0.1933, aux.acc_seg: 67.6745, loss: 0.6611 +2022-02-27 22:27:14,986 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 22:27:14,987 - mmseg - INFO - Iter [15000/160000] lr: 1.813e-05, eta: 10:04:38, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4628, decode.acc_seg: 67.2368, aux.loss_ce: 0.1908, aux.acc_seg: 67.0991, loss: 0.6537 +2022-02-27 22:27:27,444 - mmseg - INFO - Iter [15050/160000] lr: 1.812e-05, eta: 10:04:25, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4504, decode.acc_seg: 67.1187, aux.loss_ce: 0.1869, aux.acc_seg: 66.5851, loss: 0.6372 +2022-02-27 22:27:39,660 - mmseg - INFO - Iter [15100/160000] lr: 1.811e-05, eta: 10:04:10, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4439, decode.acc_seg: 67.4869, aux.loss_ce: 0.1820, aux.acc_seg: 67.4218, loss: 0.6259 +2022-02-27 22:27:52,139 - mmseg - INFO - Iter [15150/160000] lr: 1.811e-05, eta: 10:03:57, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4384, decode.acc_seg: 66.7037, aux.loss_ce: 0.1830, aux.acc_seg: 66.2756, loss: 0.6214 +2022-02-27 22:28:06,674 - mmseg - INFO - Iter [15200/160000] lr: 1.810e-05, eta: 10:04:03, time: 0.291, data_time: 0.050, memory: 56778, decode.loss_ce: 0.4008, decode.acc_seg: 67.7216, aux.loss_ce: 0.1700, aux.acc_seg: 67.3475, loss: 0.5708 +2022-02-27 22:28:18,989 - mmseg - INFO - Iter [15250/160000] lr: 1.809e-05, eta: 10:03:49, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4313, decode.acc_seg: 67.9744, aux.loss_ce: 0.1802, aux.acc_seg: 67.6037, loss: 0.6115 +2022-02-27 22:28:31,236 - mmseg - INFO - Iter [15300/160000] lr: 1.809e-05, eta: 10:03:34, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3873, decode.acc_seg: 68.2010, aux.loss_ce: 0.1638, aux.acc_seg: 67.6217, loss: 0.5511 +2022-02-27 22:28:43,515 - mmseg - INFO - Iter [15350/160000] lr: 1.808e-05, eta: 10:03:19, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4246, decode.acc_seg: 67.7244, aux.loss_ce: 0.1744, aux.acc_seg: 67.5182, loss: 0.5990 +2022-02-27 22:28:55,881 - mmseg - INFO - Iter [15400/160000] lr: 1.808e-05, eta: 10:03:05, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3988, decode.acc_seg: 68.6183, aux.loss_ce: 0.1682, aux.acc_seg: 68.1691, loss: 0.5670 +2022-02-27 22:29:08,257 - mmseg - INFO - Iter [15450/160000] lr: 1.807e-05, eta: 10:02:52, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4689, decode.acc_seg: 66.4515, aux.loss_ce: 0.1933, aux.acc_seg: 66.1318, loss: 0.6623 +2022-02-27 22:29:20,466 - mmseg - INFO - Iter [15500/160000] lr: 1.806e-05, eta: 10:02:36, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4662, decode.acc_seg: 65.2448, aux.loss_ce: 0.1932, aux.acc_seg: 64.9746, loss: 0.6595 +2022-02-27 22:29:33,193 - mmseg - INFO - Iter [15550/160000] lr: 1.806e-05, eta: 10:02:26, time: 0.254, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4155, decode.acc_seg: 69.6790, aux.loss_ce: 0.1738, aux.acc_seg: 69.3153, loss: 0.5893 +2022-02-27 22:29:45,701 - mmseg - INFO - Iter [15600/160000] lr: 1.805e-05, eta: 10:02:13, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4460, decode.acc_seg: 67.6848, aux.loss_ce: 0.1848, aux.acc_seg: 67.4155, loss: 0.6308 +2022-02-27 22:29:57,926 - mmseg - INFO - Iter [15650/160000] lr: 1.804e-05, eta: 10:01:58, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4277, decode.acc_seg: 68.1750, aux.loss_ce: 0.1792, aux.acc_seg: 67.8577, loss: 0.6070 +2022-02-27 22:30:10,317 - mmseg - INFO - Iter [15700/160000] lr: 1.804e-05, eta: 10:01:44, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4403, decode.acc_seg: 67.4580, aux.loss_ce: 0.1842, aux.acc_seg: 66.9661, loss: 0.6245 +2022-02-27 22:30:22,616 - mmseg - INFO - Iter [15750/160000] lr: 1.803e-05, eta: 10:01:30, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4201, decode.acc_seg: 67.3237, aux.loss_ce: 0.1745, aux.acc_seg: 66.9661, loss: 0.5947 +2022-02-27 22:30:34,812 - mmseg - INFO - Iter [15800/160000] lr: 1.803e-05, eta: 10:01:15, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4126, decode.acc_seg: 66.6464, aux.loss_ce: 0.1716, aux.acc_seg: 66.6129, loss: 0.5843 +2022-02-27 22:30:47,167 - mmseg - INFO - Iter [15850/160000] lr: 1.802e-05, eta: 10:01:01, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4095, decode.acc_seg: 68.1997, aux.loss_ce: 0.1710, aux.acc_seg: 67.9418, loss: 0.5805 +2022-02-27 22:30:59,636 - mmseg - INFO - Iter [15900/160000] lr: 1.801e-05, eta: 10:00:48, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4390, decode.acc_seg: 66.8483, aux.loss_ce: 0.1829, aux.acc_seg: 66.3162, loss: 0.6219 +2022-02-27 22:31:11,983 - mmseg - INFO - Iter [15950/160000] lr: 1.801e-05, eta: 10:00:34, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4426, decode.acc_seg: 67.9280, aux.loss_ce: 0.1829, aux.acc_seg: 67.6357, loss: 0.6255 +2022-02-27 22:31:24,224 - mmseg - INFO - Saving checkpoint at 16000 iterations +2022-02-27 22:31:27,676 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 22:31:27,676 - mmseg - INFO - Iter [16000/160000] lr: 1.800e-05, eta: 10:00:50, time: 0.314, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4216, decode.acc_seg: 68.0420, aux.loss_ce: 0.1760, aux.acc_seg: 67.5318, loss: 0.5976 +2022-02-27 22:32:06,732 - mmseg - INFO - per class results: +2022-02-27 22:32:06,738 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 75.91 | 86.61 | +| building | 81.71 | 92.81 | +| sky | 93.39 | 97.94 | +| floor | 80.79 | 88.3 | +| tree | 72.18 | 85.61 | +| ceiling | 81.79 | 90.07 | +| road | 82.25 | 90.94 | +| bed | 88.23 | 94.89 | +| windowpane | 60.56 | 73.45 | +| grass | 60.76 | 70.23 | +| cabinet | 56.92 | 67.51 | +| sidewalk | 59.51 | 73.45 | +| person | 78.34 | 93.35 | +| earth | 34.72 | 52.3 | +| door | 46.13 | 58.12 | +| table | 56.86 | 74.98 | +| mountain | 56.63 | 68.6 | +| plant | 45.95 | 53.87 | +| curtain | 71.47 | 87.1 | +| chair | 53.62 | 71.9 | +| car | 81.99 | 92.52 | +| water | 64.39 | 80.15 | +| painting | 68.37 | 87.7 | +| sofa | 64.34 | 83.5 | +| shelf | 42.09 | 63.95 | +| house | 51.8 | 68.08 | +| sea | 60.85 | 69.94 | +| mirror | 62.75 | 70.51 | +| rug | 68.51 | 79.8 | +| field | 27.04 | 61.42 | +| armchair | 37.95 | 57.61 | +| seat | 59.01 | 78.89 | +| fence | 43.27 | 59.89 | +| desk | 43.3 | 69.08 | +| rock | 52.61 | 77.28 | +| wardrobe | 49.32 | 71.35 | +| lamp | 55.54 | 71.45 | +| bathtub | 74.06 | 83.26 | +| railing | 33.55 | 46.44 | +| cushion | 48.43 | 71.91 | +| base | 20.21 | 24.53 | +| box | 22.83 | 28.15 | +| column | 42.69 | 62.07 | +| signboard | 33.78 | 43.52 | +| chest of drawers | 37.58 | 62.56 | +| counter | 29.54 | 35.88 | +| sand | 45.22 | 60.38 | +| sink | 64.22 | 69.83 | +| skyscraper | 44.92 | 52.94 | +| fireplace | 71.82 | 89.45 | +| refrigerator | 68.23 | 82.97 | +| grandstand | 43.09 | 76.46 | +| path | 15.03 | 23.34 | +| stairs | 28.26 | 38.65 | +| runway | 63.87 | 80.92 | +| case | 57.25 | 71.53 | +| pool table | 92.12 | 95.11 | +| pillow | 41.83 | 47.37 | +| screen door | 66.76 | 72.73 | +| stairway | 28.79 | 33.05 | +| river | 21.64 | 35.75 | +| bridge | 58.48 | 70.0 | +| bookcase | 42.1 | 56.13 | +| blind | 49.48 | 65.81 | +| coffee table | 58.71 | 76.24 | +| toilet | 79.79 | 90.19 | +| flower | 34.17 | 51.54 | +| book | 46.58 | 65.61 | +| hill | 8.72 | 19.08 | +| bench | 33.84 | 53.01 | +| countertop | 53.58 | 73.04 | +| stove | 66.4 | 79.3 | +| palm | 52.73 | 78.56 | +| kitchen island | 37.74 | 58.56 | +| computer | 66.77 | 83.98 | +| swivel chair | 46.49 | 63.93 | +| boat | 59.04 | 78.33 | +| bar | 49.29 | 61.35 | +| arcade machine | 47.32 | 48.97 | +| hovel | 59.32 | 75.37 | +| bus | 85.88 | 92.69 | +| towel | 54.64 | 60.85 | +| light | 39.92 | 43.64 | +| truck | 21.38 | 26.36 | +| tower | 28.22 | 56.6 | +| chandelier | 60.67 | 81.29 | +| awning | 25.97 | 29.74 | +| streetlight | 23.42 | 29.66 | +| booth | 31.83 | 46.38 | +| television receiver | 66.86 | 77.24 | +| airplane | 51.46 | 61.66 | +| dirt track | 1.84 | 6.74 | +| apparel | 34.45 | 63.6 | +| pole | 23.26 | 37.11 | +| land | 10.81 | 18.97 | +| bannister | 3.28 | 3.95 | +| escalator | 32.93 | 43.69 | +| ottoman | 46.76 | 58.55 | +| bottle | 34.2 | 64.94 | +| buffet | 42.4 | 54.41 | +| poster | 14.31 | 16.97 | +| stage | 16.48 | 26.28 | +| van | 35.59 | 41.54 | +| ship | 15.83 | 17.92 | +| fountain | 32.62 | 32.75 | +| conveyer belt | 54.36 | 92.56 | +| canopy | 37.99 | 68.83 | +| washer | 74.76 | 76.04 | +| plaything | 31.03 | 61.42 | +| swimming pool | 44.55 | 63.17 | +| stool | 29.47 | 53.01 | +| barrel | 54.28 | 64.39 | +| basket | 32.74 | 41.83 | +| waterfall | 60.4 | 83.5 | +| tent | 75.66 | 99.05 | +| bag | 15.76 | 18.45 | +| minibike | 63.49 | 82.35 | +| cradle | 78.38 | 95.86 | +| oven | 11.6 | 25.76 | +| ball | 44.08 | 66.15 | +| food | 47.43 | 60.81 | +| step | 4.73 | 4.88 | +| tank | 45.47 | 53.15 | +| trade name | 32.63 | 39.18 | +| microwave | 54.41 | 65.29 | +| pot | 37.04 | 44.72 | +| animal | 68.79 | 72.1 | +| bicycle | 55.35 | 69.71 | +| lake | 0.0 | 0.0 | +| dishwasher | 51.38 | 59.04 | +| screen | 69.5 | 88.12 | +| blanket | 7.35 | 8.24 | +| sculpture | 54.95 | 65.75 | +| hood | 50.6 | 57.13 | +| sconce | 31.53 | 37.85 | +| vase | 30.6 | 52.79 | +| traffic light | 21.94 | 43.79 | +| tray | 1.83 | 2.29 | +| ashcan | 30.22 | 37.7 | +| fan | 53.12 | 59.9 | +| pier | 31.45 | 32.81 | +| crt screen | 0.0 | 0.0 | +| plate | 47.62 | 71.37 | +| monitor | 44.34 | 69.77 | +| bulletin board | 25.13 | 27.74 | +| shower | 0.0 | 0.0 | +| radiator | 63.57 | 73.14 | +| glass | 8.9 | 9.17 | +| clock | 20.55 | 24.1 | +| flag | 41.54 | 44.89 | ++---------------------+-------+-------+ +2022-02-27 22:32:06,738 - mmseg - INFO - Summary: +2022-02-27 22:32:06,739 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 81.71 | 45.95 | 58.76 | ++-------+-------+-------+ +2022-02-27 22:32:06,744 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 22:32:06,744 - mmseg - INFO - Iter(val) [250] aAcc: 0.8171, mIoU: 0.4595, mAcc: 0.5876, IoU.wall: 0.7591, IoU.building: 0.8171, IoU.sky: 0.9339, IoU.floor: 0.8079, IoU.tree: 0.7218, IoU.ceiling: 0.8179, IoU.road: 0.8225, IoU.bed : 0.8823, IoU.windowpane: 0.6056, IoU.grass: 0.6076, IoU.cabinet: 0.5692, IoU.sidewalk: 0.5951, IoU.person: 0.7834, IoU.earth: 0.3472, IoU.door: 0.4613, IoU.table: 0.5686, IoU.mountain: 0.5663, IoU.plant: 0.4595, IoU.curtain: 0.7147, IoU.chair: 0.5362, IoU.car: 0.8199, IoU.water: 0.6439, IoU.painting: 0.6837, IoU.sofa: 0.6434, IoU.shelf: 0.4209, IoU.house: 0.5180, IoU.sea: 0.6085, IoU.mirror: 0.6275, IoU.rug: 0.6851, IoU.field: 0.2704, IoU.armchair: 0.3795, IoU.seat: 0.5901, IoU.fence: 0.4327, IoU.desk: 0.4330, IoU.rock: 0.5261, IoU.wardrobe: 0.4932, IoU.lamp: 0.5554, IoU.bathtub: 0.7406, IoU.railing: 0.3355, IoU.cushion: 0.4843, IoU.base: 0.2021, IoU.box: 0.2283, IoU.column: 0.4269, IoU.signboard: 0.3378, IoU.chest of drawers: 0.3758, IoU.counter: 0.2954, IoU.sand: 0.4522, IoU.sink: 0.6422, IoU.skyscraper: 0.4492, IoU.fireplace: 0.7182, IoU.refrigerator: 0.6823, IoU.grandstand: 0.4309, IoU.path: 0.1503, IoU.stairs: 0.2826, IoU.runway: 0.6387, IoU.case: 0.5725, IoU.pool table: 0.9212, IoU.pillow: 0.4183, IoU.screen door: 0.6676, IoU.stairway: 0.2879, IoU.river: 0.2164, IoU.bridge: 0.5848, IoU.bookcase: 0.4210, IoU.blind: 0.4948, IoU.coffee table: 0.5871, IoU.toilet: 0.7979, IoU.flower: 0.3417, IoU.book: 0.4658, IoU.hill: 0.0872, IoU.bench: 0.3384, IoU.countertop: 0.5358, IoU.stove: 0.6640, IoU.palm: 0.5273, IoU.kitchen island: 0.3774, IoU.computer: 0.6677, IoU.swivel chair: 0.4649, IoU.boat: 0.5904, IoU.bar: 0.4929, IoU.arcade machine: 0.4732, IoU.hovel: 0.5932, IoU.bus: 0.8588, IoU.towel: 0.5464, IoU.light: 0.3992, IoU.truck: 0.2138, IoU.tower: 0.2822, IoU.chandelier: 0.6067, IoU.awning: 0.2597, IoU.streetlight: 0.2342, IoU.booth: 0.3183, IoU.television receiver: 0.6686, IoU.airplane: 0.5146, IoU.dirt track: 0.0184, IoU.apparel: 0.3445, IoU.pole: 0.2326, IoU.land: 0.1081, IoU.bannister: 0.0328, IoU.escalator: 0.3293, IoU.ottoman: 0.4676, IoU.bottle: 0.3420, IoU.buffet: 0.4240, IoU.poster: 0.1431, IoU.stage: 0.1648, IoU.van: 0.3559, IoU.ship: 0.1583, IoU.fountain: 0.3262, IoU.conveyer belt: 0.5436, IoU.canopy: 0.3799, IoU.washer: 0.7476, IoU.plaything: 0.3103, IoU.swimming pool: 0.4455, IoU.stool: 0.2947, IoU.barrel: 0.5428, IoU.basket: 0.3274, IoU.waterfall: 0.6040, IoU.tent: 0.7566, IoU.bag: 0.1576, IoU.minibike: 0.6349, IoU.cradle: 0.7838, IoU.oven: 0.1160, IoU.ball: 0.4408, IoU.food: 0.4743, IoU.step: 0.0473, IoU.tank: 0.4547, IoU.trade name: 0.3263, IoU.microwave: 0.5441, IoU.pot: 0.3704, IoU.animal: 0.6879, IoU.bicycle: 0.5535, IoU.lake: 0.0000, IoU.dishwasher: 0.5138, IoU.screen: 0.6950, IoU.blanket: 0.0735, IoU.sculpture: 0.5495, IoU.hood: 0.5060, IoU.sconce: 0.3153, IoU.vase: 0.3060, IoU.traffic light: 0.2194, IoU.tray: 0.0183, IoU.ashcan: 0.3022, IoU.fan: 0.5312, IoU.pier: 0.3145, IoU.crt screen: 0.0000, IoU.plate: 0.4762, IoU.monitor: 0.4434, IoU.bulletin board: 0.2513, IoU.shower: 0.0000, IoU.radiator: 0.6357, IoU.glass: 0.0890, IoU.clock: 0.2055, IoU.flag: 0.4154, Acc.wall: 0.8661, Acc.building: 0.9281, Acc.sky: 0.9794, Acc.floor: 0.8830, Acc.tree: 0.8561, Acc.ceiling: 0.9007, Acc.road: 0.9094, Acc.bed : 0.9489, Acc.windowpane: 0.7345, Acc.grass: 0.7023, Acc.cabinet: 0.6751, Acc.sidewalk: 0.7345, Acc.person: 0.9335, Acc.earth: 0.5230, Acc.door: 0.5812, Acc.table: 0.7498, Acc.mountain: 0.6860, Acc.plant: 0.5387, Acc.curtain: 0.8710, Acc.chair: 0.7190, Acc.car: 0.9252, Acc.water: 0.8015, Acc.painting: 0.8770, Acc.sofa: 0.8350, Acc.shelf: 0.6395, Acc.house: 0.6808, Acc.sea: 0.6994, Acc.mirror: 0.7051, Acc.rug: 0.7980, Acc.field: 0.6142, Acc.armchair: 0.5761, Acc.seat: 0.7889, Acc.fence: 0.5989, Acc.desk: 0.6908, Acc.rock: 0.7728, Acc.wardrobe: 0.7135, Acc.lamp: 0.7145, Acc.bathtub: 0.8326, Acc.railing: 0.4644, Acc.cushion: 0.7191, Acc.base: 0.2453, Acc.box: 0.2815, Acc.column: 0.6207, Acc.signboard: 0.4352, Acc.chest of drawers: 0.6256, Acc.counter: 0.3588, Acc.sand: 0.6038, Acc.sink: 0.6983, Acc.skyscraper: 0.5294, Acc.fireplace: 0.8945, Acc.refrigerator: 0.8297, Acc.grandstand: 0.7646, Acc.path: 0.2334, Acc.stairs: 0.3865, Acc.runway: 0.8092, Acc.case: 0.7153, Acc.pool table: 0.9511, Acc.pillow: 0.4737, Acc.screen door: 0.7273, Acc.stairway: 0.3305, Acc.river: 0.3575, Acc.bridge: 0.7000, Acc.bookcase: 0.5613, Acc.blind: 0.6581, Acc.coffee table: 0.7624, Acc.toilet: 0.9019, Acc.flower: 0.5154, Acc.book: 0.6561, Acc.hill: 0.1908, Acc.bench: 0.5301, Acc.countertop: 0.7304, Acc.stove: 0.7930, Acc.palm: 0.7856, Acc.kitchen island: 0.5856, Acc.computer: 0.8398, Acc.swivel chair: 0.6393, Acc.boat: 0.7833, Acc.bar: 0.6135, Acc.arcade machine: 0.4897, Acc.hovel: 0.7537, Acc.bus: 0.9269, Acc.towel: 0.6085, Acc.light: 0.4364, Acc.truck: 0.2636, Acc.tower: 0.5660, Acc.chandelier: 0.8129, Acc.awning: 0.2974, Acc.streetlight: 0.2966, Acc.booth: 0.4638, Acc.television receiver: 0.7724, Acc.airplane: 0.6166, Acc.dirt track: 0.0674, Acc.apparel: 0.6360, Acc.pole: 0.3711, Acc.land: 0.1897, Acc.bannister: 0.0395, Acc.escalator: 0.4369, Acc.ottoman: 0.5855, Acc.bottle: 0.6494, Acc.buffet: 0.5441, Acc.poster: 0.1697, Acc.stage: 0.2628, Acc.van: 0.4154, Acc.ship: 0.1792, Acc.fountain: 0.3275, Acc.conveyer belt: 0.9256, Acc.canopy: 0.6883, Acc.washer: 0.7604, Acc.plaything: 0.6142, Acc.swimming pool: 0.6317, Acc.stool: 0.5301, Acc.barrel: 0.6439, Acc.basket: 0.4183, Acc.waterfall: 0.8350, Acc.tent: 0.9905, Acc.bag: 0.1845, Acc.minibike: 0.8235, Acc.cradle: 0.9586, Acc.oven: 0.2576, Acc.ball: 0.6615, Acc.food: 0.6081, Acc.step: 0.0488, Acc.tank: 0.5315, Acc.trade name: 0.3918, Acc.microwave: 0.6529, Acc.pot: 0.4472, Acc.animal: 0.7210, Acc.bicycle: 0.6971, Acc.lake: 0.0000, Acc.dishwasher: 0.5904, Acc.screen: 0.8812, Acc.blanket: 0.0824, Acc.sculpture: 0.6575, Acc.hood: 0.5713, Acc.sconce: 0.3785, Acc.vase: 0.5279, Acc.traffic light: 0.4379, Acc.tray: 0.0229, Acc.ashcan: 0.3770, Acc.fan: 0.5990, Acc.pier: 0.3281, Acc.crt screen: 0.0000, Acc.plate: 0.7137, Acc.monitor: 0.6977, Acc.bulletin board: 0.2774, Acc.shower: 0.0000, Acc.radiator: 0.7314, Acc.glass: 0.0917, Acc.clock: 0.2410, Acc.flag: 0.4489 +2022-02-27 22:32:18,952 - mmseg - INFO - Iter [16050/160000] lr: 1.799e-05, eta: 10:06:25, time: 1.026, data_time: 0.785, memory: 56778, decode.loss_ce: 0.4184, decode.acc_seg: 67.8357, aux.loss_ce: 0.1723, aux.acc_seg: 67.4892, loss: 0.5907 +2022-02-27 22:32:31,270 - mmseg - INFO - Iter [16100/160000] lr: 1.799e-05, eta: 10:06:10, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4259, decode.acc_seg: 67.8184, aux.loss_ce: 0.1769, aux.acc_seg: 67.5680, loss: 0.6028 +2022-02-27 22:32:43,704 - mmseg - INFO - Iter [16150/160000] lr: 1.798e-05, eta: 10:05:55, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3966, decode.acc_seg: 68.3940, aux.loss_ce: 0.1639, aux.acc_seg: 68.1283, loss: 0.5605 +2022-02-27 22:32:55,941 - mmseg - INFO - Iter [16200/160000] lr: 1.798e-05, eta: 10:05:39, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4328, decode.acc_seg: 68.7348, aux.loss_ce: 0.1803, aux.acc_seg: 68.4922, loss: 0.6131 +2022-02-27 22:33:08,215 - mmseg - INFO - Iter [16250/160000] lr: 1.797e-05, eta: 10:05:23, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4005, decode.acc_seg: 67.9077, aux.loss_ce: 0.1664, aux.acc_seg: 67.6267, loss: 0.5669 +2022-02-27 22:33:20,608 - mmseg - INFO - Iter [16300/160000] lr: 1.796e-05, eta: 10:05:08, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4265, decode.acc_seg: 67.2249, aux.loss_ce: 0.1755, aux.acc_seg: 66.9219, loss: 0.6020 +2022-02-27 22:33:33,217 - mmseg - INFO - Iter [16350/160000] lr: 1.796e-05, eta: 10:04:56, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4014, decode.acc_seg: 68.6828, aux.loss_ce: 0.1686, aux.acc_seg: 68.4840, loss: 0.5700 +2022-02-27 22:33:45,554 - mmseg - INFO - Iter [16400/160000] lr: 1.795e-05, eta: 10:04:40, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4111, decode.acc_seg: 68.6789, aux.loss_ce: 0.1722, aux.acc_seg: 68.4384, loss: 0.5833 +2022-02-27 22:34:00,191 - mmseg - INFO - Iter [16450/160000] lr: 1.794e-05, eta: 10:04:45, time: 0.293, data_time: 0.051, memory: 56778, decode.loss_ce: 0.4137, decode.acc_seg: 68.1549, aux.loss_ce: 0.1718, aux.acc_seg: 67.8948, loss: 0.5855 +2022-02-27 22:34:12,418 - mmseg - INFO - Iter [16500/160000] lr: 1.794e-05, eta: 10:04:29, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4130, decode.acc_seg: 69.3683, aux.loss_ce: 0.1726, aux.acc_seg: 68.8640, loss: 0.5857 +2022-02-27 22:34:24,664 - mmseg - INFO - Iter [16550/160000] lr: 1.793e-05, eta: 10:04:13, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4243, decode.acc_seg: 68.8852, aux.loss_ce: 0.1764, aux.acc_seg: 68.5262, loss: 0.6007 +2022-02-27 22:34:36,850 - mmseg - INFO - Iter [16600/160000] lr: 1.793e-05, eta: 10:03:56, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4065, decode.acc_seg: 67.6163, aux.loss_ce: 0.1695, aux.acc_seg: 67.2953, loss: 0.5760 +2022-02-27 22:34:49,338 - mmseg - INFO - Iter [16650/160000] lr: 1.792e-05, eta: 10:03:42, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3987, decode.acc_seg: 68.0377, aux.loss_ce: 0.1664, aux.acc_seg: 67.6662, loss: 0.5651 +2022-02-27 22:35:01,776 - mmseg - INFO - Iter [16700/160000] lr: 1.791e-05, eta: 10:03:28, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4213, decode.acc_seg: 66.4517, aux.loss_ce: 0.1750, aux.acc_seg: 66.0763, loss: 0.5963 +2022-02-27 22:35:13,977 - mmseg - INFO - Iter [16750/160000] lr: 1.791e-05, eta: 10:03:12, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3850, decode.acc_seg: 68.1827, aux.loss_ce: 0.1601, aux.acc_seg: 67.8088, loss: 0.5451 +2022-02-27 22:35:26,194 - mmseg - INFO - Iter [16800/160000] lr: 1.790e-05, eta: 10:02:56, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4043, decode.acc_seg: 68.5180, aux.loss_ce: 0.1689, aux.acc_seg: 68.1925, loss: 0.5731 +2022-02-27 22:35:38,571 - mmseg - INFO - Iter [16850/160000] lr: 1.789e-05, eta: 10:02:41, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3918, decode.acc_seg: 68.6517, aux.loss_ce: 0.1644, aux.acc_seg: 68.3089, loss: 0.5562 +2022-02-27 22:35:51,067 - mmseg - INFO - Iter [16900/160000] lr: 1.789e-05, eta: 10:02:27, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4345, decode.acc_seg: 68.0722, aux.loss_ce: 0.1804, aux.acc_seg: 67.9763, loss: 0.6150 +2022-02-27 22:36:03,428 - mmseg - INFO - Iter [16950/160000] lr: 1.788e-05, eta: 10:02:12, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4222, decode.acc_seg: 68.4115, aux.loss_ce: 0.1758, aux.acc_seg: 68.1792, loss: 0.5980 +2022-02-27 22:36:15,709 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 22:36:15,710 - mmseg - INFO - Iter [17000/160000] lr: 1.788e-05, eta: 10:01:57, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4255, decode.acc_seg: 67.4964, aux.loss_ce: 0.1742, aux.acc_seg: 67.3025, loss: 0.5997 +2022-02-27 22:36:28,304 - mmseg - INFO - Iter [17050/160000] lr: 1.787e-05, eta: 10:01:44, time: 0.252, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4114, decode.acc_seg: 67.6781, aux.loss_ce: 0.1696, aux.acc_seg: 67.5024, loss: 0.5809 +2022-02-27 22:36:40,508 - mmseg - INFO - Iter [17100/160000] lr: 1.786e-05, eta: 10:01:28, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4280, decode.acc_seg: 68.1003, aux.loss_ce: 0.1759, aux.acc_seg: 67.9590, loss: 0.6038 +2022-02-27 22:36:52,882 - mmseg - INFO - Iter [17150/160000] lr: 1.786e-05, eta: 10:01:13, time: 0.247, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4081, decode.acc_seg: 68.1063, aux.loss_ce: 0.1703, aux.acc_seg: 67.8210, loss: 0.5785 +2022-02-27 22:37:05,196 - mmseg - INFO - Iter [17200/160000] lr: 1.785e-05, eta: 10:00:58, time: 0.246, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4336, decode.acc_seg: 68.0469, aux.loss_ce: 0.1781, aux.acc_seg: 67.7595, loss: 0.6118 +2022-02-27 22:37:17,837 - mmseg - INFO - Iter [17250/160000] lr: 1.784e-05, eta: 10:00:45, time: 0.253, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4258, decode.acc_seg: 67.8673, aux.loss_ce: 0.1785, aux.acc_seg: 67.4489, loss: 0.6043 +2022-02-27 22:37:30,135 - mmseg - INFO - Iter [17300/160000] lr: 1.784e-05, eta: 10:00:30, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4373, decode.acc_seg: 66.9248, aux.loss_ce: 0.1831, aux.acc_seg: 66.4426, loss: 0.6204 +2022-02-27 22:37:42,330 - mmseg - INFO - Iter [17350/160000] lr: 1.783e-05, eta: 10:00:14, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4051, decode.acc_seg: 66.8327, aux.loss_ce: 0.1684, aux.acc_seg: 66.4769, loss: 0.5735 +2022-02-27 22:37:54,597 - mmseg - INFO - Iter [17400/160000] lr: 1.783e-05, eta: 9:59:58, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4153, decode.acc_seg: 67.9134, aux.loss_ce: 0.1750, aux.acc_seg: 67.5442, loss: 0.5903 +2022-02-27 22:38:06,858 - mmseg - INFO - Iter [17450/160000] lr: 1.782e-05, eta: 9:59:42, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4165, decode.acc_seg: 68.0305, aux.loss_ce: 0.1736, aux.acc_seg: 67.6922, loss: 0.5901 +2022-02-27 22:38:19,218 - mmseg - INFO - Iter [17500/160000] lr: 1.781e-05, eta: 9:59:28, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3905, decode.acc_seg: 68.9755, aux.loss_ce: 0.1625, aux.acc_seg: 68.6206, loss: 0.5531 +2022-02-27 22:38:31,426 - mmseg - INFO - Iter [17550/160000] lr: 1.781e-05, eta: 9:59:12, time: 0.244, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4229, decode.acc_seg: 68.7710, aux.loss_ce: 0.1762, aux.acc_seg: 68.4613, loss: 0.5991 +2022-02-27 22:38:43,752 - mmseg - INFO - Iter [17600/160000] lr: 1.780e-05, eta: 9:58:57, time: 0.246, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4132, decode.acc_seg: 66.1089, aux.loss_ce: 0.1733, aux.acc_seg: 65.5955, loss: 0.5865 +2022-02-27 22:38:55,941 - mmseg - INFO - Iter [17650/160000] lr: 1.779e-05, eta: 9:58:41, time: 0.244, data_time: 0.003, memory: 56778, decode.loss_ce: 0.4205, decode.acc_seg: 68.6537, aux.loss_ce: 0.1744, aux.acc_seg: 68.2868, loss: 0.5949 +2022-02-27 22:39:10,597 - mmseg - INFO - Iter [17700/160000] lr: 1.779e-05, eta: 9:58:44, time: 0.293, data_time: 0.049, memory: 56778, decode.loss_ce: 0.4066, decode.acc_seg: 67.8254, aux.loss_ce: 0.1700, aux.acc_seg: 67.3758, loss: 0.5766 +2022-02-27 22:39:23,135 - mmseg - INFO - Iter [17750/160000] lr: 1.778e-05, eta: 9:58:31, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3904, decode.acc_seg: 68.7787, aux.loss_ce: 0.1634, aux.acc_seg: 68.5959, loss: 0.5538 +2022-02-27 22:39:35,451 - mmseg - INFO - Iter [17800/160000] lr: 1.778e-05, eta: 9:58:16, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3575, decode.acc_seg: 69.3120, aux.loss_ce: 0.1496, aux.acc_seg: 69.1529, loss: 0.5071 +2022-02-27 22:39:47,739 - mmseg - INFO - Iter [17850/160000] lr: 1.777e-05, eta: 9:58:01, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3841, decode.acc_seg: 69.1211, aux.loss_ce: 0.1601, aux.acc_seg: 68.8101, loss: 0.5442 +2022-02-27 22:39:59,969 - mmseg - INFO - Iter [17900/160000] lr: 1.776e-05, eta: 9:57:45, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4097, decode.acc_seg: 68.4213, aux.loss_ce: 0.1700, aux.acc_seg: 68.2772, loss: 0.5797 +2022-02-27 22:40:12,252 - mmseg - INFO - Iter [17950/160000] lr: 1.776e-05, eta: 9:57:30, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4159, decode.acc_seg: 69.3097, aux.loss_ce: 0.1735, aux.acc_seg: 69.1472, loss: 0.5894 +2022-02-27 22:40:24,574 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 22:40:24,574 - mmseg - INFO - Iter [18000/160000] lr: 1.775e-05, eta: 9:57:15, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4077, decode.acc_seg: 68.0067, aux.loss_ce: 0.1703, aux.acc_seg: 67.7801, loss: 0.5780 +2022-02-27 22:40:36,901 - mmseg - INFO - Iter [18050/160000] lr: 1.774e-05, eta: 9:57:00, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4002, decode.acc_seg: 69.4022, aux.loss_ce: 0.1680, aux.acc_seg: 68.9524, loss: 0.5682 +2022-02-27 22:40:49,214 - mmseg - INFO - Iter [18100/160000] lr: 1.774e-05, eta: 9:56:45, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3676, decode.acc_seg: 69.2895, aux.loss_ce: 0.1516, aux.acc_seg: 69.3194, loss: 0.5192 +2022-02-27 22:41:01,473 - mmseg - INFO - Iter [18150/160000] lr: 1.773e-05, eta: 9:56:29, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3788, decode.acc_seg: 67.6756, aux.loss_ce: 0.1603, aux.acc_seg: 67.1893, loss: 0.5391 +2022-02-27 22:41:13,695 - mmseg - INFO - Iter [18200/160000] lr: 1.773e-05, eta: 9:56:14, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4102, decode.acc_seg: 67.1871, aux.loss_ce: 0.1714, aux.acc_seg: 66.7450, loss: 0.5816 +2022-02-27 22:41:25,980 - mmseg - INFO - Iter [18250/160000] lr: 1.772e-05, eta: 9:55:59, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4022, decode.acc_seg: 68.0753, aux.loss_ce: 0.1678, aux.acc_seg: 67.8190, loss: 0.5700 +2022-02-27 22:41:38,244 - mmseg - INFO - Iter [18300/160000] lr: 1.771e-05, eta: 9:55:43, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3992, decode.acc_seg: 69.0986, aux.loss_ce: 0.1661, aux.acc_seg: 68.7732, loss: 0.5653 +2022-02-27 22:41:50,581 - mmseg - INFO - Iter [18350/160000] lr: 1.771e-05, eta: 9:55:29, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4058, decode.acc_seg: 67.9755, aux.loss_ce: 0.1682, aux.acc_seg: 67.8395, loss: 0.5740 +2022-02-27 22:42:03,246 - mmseg - INFO - Iter [18400/160000] lr: 1.770e-05, eta: 9:55:16, time: 0.253, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4022, decode.acc_seg: 68.7716, aux.loss_ce: 0.1692, aux.acc_seg: 68.4334, loss: 0.5714 +2022-02-27 22:42:15,731 - mmseg - INFO - Iter [18450/160000] lr: 1.769e-05, eta: 9:55:03, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4007, decode.acc_seg: 68.6119, aux.loss_ce: 0.1685, aux.acc_seg: 68.2718, loss: 0.5692 +2022-02-27 22:42:27,943 - mmseg - INFO - Iter [18500/160000] lr: 1.769e-05, eta: 9:54:47, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3881, decode.acc_seg: 68.2839, aux.loss_ce: 0.1637, aux.acc_seg: 68.0866, loss: 0.5518 +2022-02-27 22:42:40,131 - mmseg - INFO - Iter [18550/160000] lr: 1.768e-05, eta: 9:54:31, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4250, decode.acc_seg: 69.0044, aux.loss_ce: 0.1754, aux.acc_seg: 68.7105, loss: 0.6004 +2022-02-27 22:42:52,402 - mmseg - INFO - Iter [18600/160000] lr: 1.768e-05, eta: 9:54:16, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4212, decode.acc_seg: 67.6996, aux.loss_ce: 0.1756, aux.acc_seg: 67.2840, loss: 0.5968 +2022-02-27 22:43:04,737 - mmseg - INFO - Iter [18650/160000] lr: 1.767e-05, eta: 9:54:01, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3940, decode.acc_seg: 68.9951, aux.loss_ce: 0.1639, aux.acc_seg: 68.7275, loss: 0.5579 +2022-02-27 22:43:16,972 - mmseg - INFO - Iter [18700/160000] lr: 1.766e-05, eta: 9:53:46, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4150, decode.acc_seg: 66.5448, aux.loss_ce: 0.1730, aux.acc_seg: 66.1217, loss: 0.5881 +2022-02-27 22:43:29,386 - mmseg - INFO - Iter [18750/160000] lr: 1.766e-05, eta: 9:53:32, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4020, decode.acc_seg: 68.2439, aux.loss_ce: 0.1656, aux.acc_seg: 68.0484, loss: 0.5676 +2022-02-27 22:43:41,734 - mmseg - INFO - Iter [18800/160000] lr: 1.765e-05, eta: 9:53:17, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4463, decode.acc_seg: 68.8358, aux.loss_ce: 0.1865, aux.acc_seg: 68.6036, loss: 0.6328 +2022-02-27 22:43:54,122 - mmseg - INFO - Iter [18850/160000] lr: 1.764e-05, eta: 9:53:03, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4298, decode.acc_seg: 67.1991, aux.loss_ce: 0.1797, aux.acc_seg: 66.9058, loss: 0.6095 +2022-02-27 22:44:06,447 - mmseg - INFO - Iter [18900/160000] lr: 1.764e-05, eta: 9:52:48, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3996, decode.acc_seg: 68.0251, aux.loss_ce: 0.1658, aux.acc_seg: 67.6810, loss: 0.5654 +2022-02-27 22:44:20,914 - mmseg - INFO - Iter [18950/160000] lr: 1.763e-05, eta: 9:52:50, time: 0.289, data_time: 0.050, memory: 56778, decode.loss_ce: 0.3975, decode.acc_seg: 67.3321, aux.loss_ce: 0.1660, aux.acc_seg: 67.1960, loss: 0.5635 +2022-02-27 22:44:33,120 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 22:44:33,120 - mmseg - INFO - Iter [19000/160000] lr: 1.763e-05, eta: 9:52:34, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3993, decode.acc_seg: 69.7839, aux.loss_ce: 0.1650, aux.acc_seg: 69.7059, loss: 0.5643 +2022-02-27 22:44:45,497 - mmseg - INFO - Iter [19050/160000] lr: 1.762e-05, eta: 9:52:20, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4081, decode.acc_seg: 68.1182, aux.loss_ce: 0.1689, aux.acc_seg: 67.8136, loss: 0.5770 +2022-02-27 22:44:57,781 - mmseg - INFO - Iter [19100/160000] lr: 1.761e-05, eta: 9:52:05, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3761, decode.acc_seg: 69.9495, aux.loss_ce: 0.1576, aux.acc_seg: 69.6818, loss: 0.5337 +2022-02-27 22:45:10,119 - mmseg - INFO - Iter [19150/160000] lr: 1.761e-05, eta: 9:51:50, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3923, decode.acc_seg: 68.7476, aux.loss_ce: 0.1631, aux.acc_seg: 68.5770, loss: 0.5554 +2022-02-27 22:45:22,391 - mmseg - INFO - Iter [19200/160000] lr: 1.760e-05, eta: 9:51:35, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3837, decode.acc_seg: 68.5586, aux.loss_ce: 0.1614, aux.acc_seg: 68.2929, loss: 0.5451 +2022-02-27 22:45:34,682 - mmseg - INFO - Iter [19250/160000] lr: 1.759e-05, eta: 9:51:20, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3853, decode.acc_seg: 67.7506, aux.loss_ce: 0.1625, aux.acc_seg: 67.3321, loss: 0.5478 +2022-02-27 22:45:46,967 - mmseg - INFO - Iter [19300/160000] lr: 1.759e-05, eta: 9:51:05, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3936, decode.acc_seg: 69.2171, aux.loss_ce: 0.1646, aux.acc_seg: 68.7992, loss: 0.5582 +2022-02-27 22:45:59,240 - mmseg - INFO - Iter [19350/160000] lr: 1.758e-05, eta: 9:50:50, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3755, decode.acc_seg: 68.0641, aux.loss_ce: 0.1585, aux.acc_seg: 67.6274, loss: 0.5340 +2022-02-27 22:46:11,519 - mmseg - INFO - Iter [19400/160000] lr: 1.758e-05, eta: 9:50:35, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3522, decode.acc_seg: 70.0351, aux.loss_ce: 0.1492, aux.acc_seg: 69.7766, loss: 0.5014 +2022-02-27 22:46:23,966 - mmseg - INFO - Iter [19450/160000] lr: 1.757e-05, eta: 9:50:22, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3815, decode.acc_seg: 67.9380, aux.loss_ce: 0.1620, aux.acc_seg: 67.2585, loss: 0.5435 +2022-02-27 22:46:36,304 - mmseg - INFO - Iter [19500/160000] lr: 1.756e-05, eta: 9:50:07, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3855, decode.acc_seg: 70.1090, aux.loss_ce: 0.1605, aux.acc_seg: 69.6548, loss: 0.5460 +2022-02-27 22:46:48,506 - mmseg - INFO - Iter [19550/160000] lr: 1.756e-05, eta: 9:49:52, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4014, decode.acc_seg: 68.5942, aux.loss_ce: 0.1676, aux.acc_seg: 68.2975, loss: 0.5689 +2022-02-27 22:47:00,745 - mmseg - INFO - Iter [19600/160000] lr: 1.755e-05, eta: 9:49:36, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3981, decode.acc_seg: 67.6531, aux.loss_ce: 0.1684, aux.acc_seg: 67.1210, loss: 0.5666 +2022-02-27 22:47:13,081 - mmseg - INFO - Iter [19650/160000] lr: 1.754e-05, eta: 9:49:22, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3849, decode.acc_seg: 69.5206, aux.loss_ce: 0.1601, aux.acc_seg: 69.2849, loss: 0.5450 +2022-02-27 22:47:25,263 - mmseg - INFO - Iter [19700/160000] lr: 1.754e-05, eta: 9:49:06, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3842, decode.acc_seg: 67.8244, aux.loss_ce: 0.1596, aux.acc_seg: 67.5974, loss: 0.5438 +2022-02-27 22:47:37,533 - mmseg - INFO - Iter [19750/160000] lr: 1.753e-05, eta: 9:48:51, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3611, decode.acc_seg: 69.1134, aux.loss_ce: 0.1514, aux.acc_seg: 68.6785, loss: 0.5125 +2022-02-27 22:47:49,799 - mmseg - INFO - Iter [19800/160000] lr: 1.753e-05, eta: 9:48:37, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4124, decode.acc_seg: 67.4896, aux.loss_ce: 0.1704, aux.acc_seg: 67.2297, loss: 0.5828 +2022-02-27 22:48:01,983 - mmseg - INFO - Iter [19850/160000] lr: 1.752e-05, eta: 9:48:21, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3855, decode.acc_seg: 68.0515, aux.loss_ce: 0.1614, aux.acc_seg: 67.7070, loss: 0.5469 +2022-02-27 22:48:14,202 - mmseg - INFO - Iter [19900/160000] lr: 1.751e-05, eta: 9:48:06, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3776, decode.acc_seg: 68.2370, aux.loss_ce: 0.1595, aux.acc_seg: 67.7834, loss: 0.5371 +2022-02-27 22:48:26,498 - mmseg - INFO - Iter [19950/160000] lr: 1.751e-05, eta: 9:47:51, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3956, decode.acc_seg: 68.8018, aux.loss_ce: 0.1638, aux.acc_seg: 68.7073, loss: 0.5594 +2022-02-27 22:48:38,667 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 22:48:38,667 - mmseg - INFO - Iter [20000/160000] lr: 1.750e-05, eta: 9:47:36, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3836, decode.acc_seg: 68.6337, aux.loss_ce: 0.1596, aux.acc_seg: 68.4298, loss: 0.5432 +2022-02-27 22:48:50,993 - mmseg - INFO - Iter [20050/160000] lr: 1.749e-05, eta: 9:47:21, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3833, decode.acc_seg: 68.8566, aux.loss_ce: 0.1576, aux.acc_seg: 68.6152, loss: 0.5409 +2022-02-27 22:49:03,235 - mmseg - INFO - Iter [20100/160000] lr: 1.749e-05, eta: 9:47:06, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3971, decode.acc_seg: 69.6749, aux.loss_ce: 0.1663, aux.acc_seg: 69.2953, loss: 0.5634 +2022-02-27 22:49:15,507 - mmseg - INFO - Iter [20150/160000] lr: 1.748e-05, eta: 9:46:51, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4073, decode.acc_seg: 68.5400, aux.loss_ce: 0.1720, aux.acc_seg: 68.1959, loss: 0.5793 +2022-02-27 22:49:27,816 - mmseg - INFO - Iter [20200/160000] lr: 1.748e-05, eta: 9:46:37, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3812, decode.acc_seg: 68.1705, aux.loss_ce: 0.1583, aux.acc_seg: 67.9082, loss: 0.5395 +2022-02-27 22:49:42,361 - mmseg - INFO - Iter [20250/160000] lr: 1.747e-05, eta: 9:46:38, time: 0.291, data_time: 0.049, memory: 56778, decode.loss_ce: 0.3701, decode.acc_seg: 68.4974, aux.loss_ce: 0.1535, aux.acc_seg: 68.3127, loss: 0.5236 +2022-02-27 22:49:54,931 - mmseg - INFO - Iter [20300/160000] lr: 1.746e-05, eta: 9:46:25, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3808, decode.acc_seg: 68.1811, aux.loss_ce: 0.1590, aux.acc_seg: 67.8888, loss: 0.5399 +2022-02-27 22:50:07,108 - mmseg - INFO - Iter [20350/160000] lr: 1.746e-05, eta: 9:46:09, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3612, decode.acc_seg: 70.0673, aux.loss_ce: 0.1510, aux.acc_seg: 69.7733, loss: 0.5122 +2022-02-27 22:50:19,497 - mmseg - INFO - Iter [20400/160000] lr: 1.745e-05, eta: 9:45:55, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3542, decode.acc_seg: 69.2373, aux.loss_ce: 0.1476, aux.acc_seg: 68.8919, loss: 0.5018 +2022-02-27 22:50:31,665 - mmseg - INFO - Iter [20450/160000] lr: 1.744e-05, eta: 9:45:40, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3653, decode.acc_seg: 69.0924, aux.loss_ce: 0.1524, aux.acc_seg: 68.7297, loss: 0.5178 +2022-02-27 22:50:43,931 - mmseg - INFO - Iter [20500/160000] lr: 1.744e-05, eta: 9:45:25, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3982, decode.acc_seg: 69.2227, aux.loss_ce: 0.1660, aux.acc_seg: 68.9477, loss: 0.5641 +2022-02-27 22:50:56,382 - mmseg - INFO - Iter [20550/160000] lr: 1.743e-05, eta: 9:45:12, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3925, decode.acc_seg: 68.8178, aux.loss_ce: 0.1654, aux.acc_seg: 68.3535, loss: 0.5579 +2022-02-27 22:51:08,701 - mmseg - INFO - Iter [20600/160000] lr: 1.743e-05, eta: 9:44:57, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3762, decode.acc_seg: 69.1742, aux.loss_ce: 0.1580, aux.acc_seg: 68.9067, loss: 0.5342 +2022-02-27 22:51:21,037 - mmseg - INFO - Iter [20650/160000] lr: 1.742e-05, eta: 9:44:43, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3925, decode.acc_seg: 68.8027, aux.loss_ce: 0.1660, aux.acc_seg: 68.1497, loss: 0.5585 +2022-02-27 22:51:33,259 - mmseg - INFO - Iter [20700/160000] lr: 1.741e-05, eta: 9:44:28, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3612, decode.acc_seg: 70.1854, aux.loss_ce: 0.1516, aux.acc_seg: 69.7577, loss: 0.5127 +2022-02-27 22:51:45,560 - mmseg - INFO - Iter [20750/160000] lr: 1.741e-05, eta: 9:44:13, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3878, decode.acc_seg: 68.6596, aux.loss_ce: 0.1605, aux.acc_seg: 68.4231, loss: 0.5483 +2022-02-27 22:51:57,756 - mmseg - INFO - Iter [20800/160000] lr: 1.740e-05, eta: 9:43:58, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3921, decode.acc_seg: 69.2554, aux.loss_ce: 0.1638, aux.acc_seg: 68.8951, loss: 0.5559 +2022-02-27 22:52:10,002 - mmseg - INFO - Iter [20850/160000] lr: 1.739e-05, eta: 9:43:43, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4124, decode.acc_seg: 69.4271, aux.loss_ce: 0.1718, aux.acc_seg: 68.9758, loss: 0.5842 +2022-02-27 22:52:22,548 - mmseg - INFO - Iter [20900/160000] lr: 1.739e-05, eta: 9:43:30, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3902, decode.acc_seg: 67.9800, aux.loss_ce: 0.1631, aux.acc_seg: 67.6648, loss: 0.5533 +2022-02-27 22:52:34,771 - mmseg - INFO - Iter [20950/160000] lr: 1.738e-05, eta: 9:43:15, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3818, decode.acc_seg: 70.2114, aux.loss_ce: 0.1624, aux.acc_seg: 69.7302, loss: 0.5442 +2022-02-27 22:52:47,154 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 22:52:47,154 - mmseg - INFO - Iter [21000/160000] lr: 1.738e-05, eta: 9:43:01, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3744, decode.acc_seg: 68.2701, aux.loss_ce: 0.1592, aux.acc_seg: 67.8024, loss: 0.5336 +2022-02-27 22:52:59,383 - mmseg - INFO - Iter [21050/160000] lr: 1.737e-05, eta: 9:42:47, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3855, decode.acc_seg: 69.9180, aux.loss_ce: 0.1600, aux.acc_seg: 69.5965, loss: 0.5455 +2022-02-27 22:53:11,659 - mmseg - INFO - Iter [21100/160000] lr: 1.736e-05, eta: 9:42:32, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4088, decode.acc_seg: 67.6487, aux.loss_ce: 0.1701, aux.acc_seg: 67.4248, loss: 0.5790 +2022-02-27 22:53:23,846 - mmseg - INFO - Iter [21150/160000] lr: 1.736e-05, eta: 9:42:17, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3928, decode.acc_seg: 68.7775, aux.loss_ce: 0.1635, aux.acc_seg: 68.4157, loss: 0.5562 +2022-02-27 22:53:36,200 - mmseg - INFO - Iter [21200/160000] lr: 1.735e-05, eta: 9:42:03, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3942, decode.acc_seg: 67.8140, aux.loss_ce: 0.1661, aux.acc_seg: 67.4268, loss: 0.5603 +2022-02-27 22:53:48,456 - mmseg - INFO - Iter [21250/160000] lr: 1.734e-05, eta: 9:41:48, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4228, decode.acc_seg: 68.2887, aux.loss_ce: 0.1753, aux.acc_seg: 68.0011, loss: 0.5981 +2022-02-27 22:54:00,772 - mmseg - INFO - Iter [21300/160000] lr: 1.734e-05, eta: 9:41:34, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3990, decode.acc_seg: 67.5854, aux.loss_ce: 0.1682, aux.acc_seg: 67.2467, loss: 0.5673 +2022-02-27 22:54:13,107 - mmseg - INFO - Iter [21350/160000] lr: 1.733e-05, eta: 9:41:20, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3581, decode.acc_seg: 69.0481, aux.loss_ce: 0.1498, aux.acc_seg: 68.5987, loss: 0.5079 +2022-02-27 22:54:25,438 - mmseg - INFO - Iter [21400/160000] lr: 1.733e-05, eta: 9:41:05, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3580, decode.acc_seg: 68.6369, aux.loss_ce: 0.1492, aux.acc_seg: 68.2873, loss: 0.5072 +2022-02-27 22:54:37,636 - mmseg - INFO - Iter [21450/160000] lr: 1.732e-05, eta: 9:40:50, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3954, decode.acc_seg: 69.2917, aux.loss_ce: 0.1659, aux.acc_seg: 68.8545, loss: 0.5614 +2022-02-27 22:54:52,188 - mmseg - INFO - Iter [21500/160000] lr: 1.731e-05, eta: 9:40:51, time: 0.291, data_time: 0.050, memory: 56778, decode.loss_ce: 0.3783, decode.acc_seg: 68.0141, aux.loss_ce: 0.1593, aux.acc_seg: 67.7884, loss: 0.5376 +2022-02-27 22:55:04,533 - mmseg - INFO - Iter [21550/160000] lr: 1.731e-05, eta: 9:40:36, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3717, decode.acc_seg: 70.3633, aux.loss_ce: 0.1578, aux.acc_seg: 69.9575, loss: 0.5295 +2022-02-27 22:55:16,924 - mmseg - INFO - Iter [21600/160000] lr: 1.730e-05, eta: 9:40:23, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3881, decode.acc_seg: 67.6147, aux.loss_ce: 0.1628, aux.acc_seg: 67.1161, loss: 0.5509 +2022-02-27 22:55:29,162 - mmseg - INFO - Iter [21650/160000] lr: 1.729e-05, eta: 9:40:08, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3561, decode.acc_seg: 69.2403, aux.loss_ce: 0.1490, aux.acc_seg: 68.8094, loss: 0.5051 +2022-02-27 22:55:41,688 - mmseg - INFO - Iter [21700/160000] lr: 1.729e-05, eta: 9:39:55, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3759, decode.acc_seg: 69.1276, aux.loss_ce: 0.1570, aux.acc_seg: 68.8031, loss: 0.5329 +2022-02-27 22:55:53,957 - mmseg - INFO - Iter [21750/160000] lr: 1.728e-05, eta: 9:39:40, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3555, decode.acc_seg: 70.1205, aux.loss_ce: 0.1499, aux.acc_seg: 69.6496, loss: 0.5054 +2022-02-27 22:56:06,207 - mmseg - INFO - Iter [21800/160000] lr: 1.728e-05, eta: 9:39:26, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3835, decode.acc_seg: 67.6945, aux.loss_ce: 0.1607, aux.acc_seg: 67.2820, loss: 0.5442 +2022-02-27 22:56:18,403 - mmseg - INFO - Iter [21850/160000] lr: 1.727e-05, eta: 9:39:11, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3546, decode.acc_seg: 68.9179, aux.loss_ce: 0.1475, aux.acc_seg: 68.5416, loss: 0.5021 +2022-02-27 22:56:30,711 - mmseg - INFO - Iter [21900/160000] lr: 1.726e-05, eta: 9:38:56, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3673, decode.acc_seg: 68.7032, aux.loss_ce: 0.1536, aux.acc_seg: 68.2980, loss: 0.5210 +2022-02-27 22:56:42,944 - mmseg - INFO - Iter [21950/160000] lr: 1.726e-05, eta: 9:38:42, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3545, decode.acc_seg: 68.8549, aux.loss_ce: 0.1493, aux.acc_seg: 68.4321, loss: 0.5038 +2022-02-27 22:56:55,175 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 22:56:55,175 - mmseg - INFO - Iter [22000/160000] lr: 1.725e-05, eta: 9:38:27, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3555, decode.acc_seg: 69.2882, aux.loss_ce: 0.1488, aux.acc_seg: 68.8749, loss: 0.5043 +2022-02-27 22:57:07,477 - mmseg - INFO - Iter [22050/160000] lr: 1.724e-05, eta: 9:38:13, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3647, decode.acc_seg: 69.1364, aux.loss_ce: 0.1544, aux.acc_seg: 68.7080, loss: 0.5191 +2022-02-27 22:57:19,782 - mmseg - INFO - Iter [22100/160000] lr: 1.724e-05, eta: 9:37:58, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3733, decode.acc_seg: 69.8174, aux.loss_ce: 0.1576, aux.acc_seg: 69.2015, loss: 0.5309 +2022-02-27 22:57:32,129 - mmseg - INFO - Iter [22150/160000] lr: 1.723e-05, eta: 9:37:44, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.4036, decode.acc_seg: 70.4468, aux.loss_ce: 0.1697, aux.acc_seg: 70.0135, loss: 0.5733 +2022-02-27 22:57:44,595 - mmseg - INFO - Iter [22200/160000] lr: 1.723e-05, eta: 9:37:31, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3861, decode.acc_seg: 68.6490, aux.loss_ce: 0.1613, aux.acc_seg: 68.4796, loss: 0.5474 +2022-02-27 22:57:56,948 - mmseg - INFO - Iter [22250/160000] lr: 1.722e-05, eta: 9:37:17, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3713, decode.acc_seg: 68.1470, aux.loss_ce: 0.1576, aux.acc_seg: 67.8440, loss: 0.5289 +2022-02-27 22:58:09,173 - mmseg - INFO - Iter [22300/160000] lr: 1.721e-05, eta: 9:37:03, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3745, decode.acc_seg: 68.7555, aux.loss_ce: 0.1591, aux.acc_seg: 68.1599, loss: 0.5336 +2022-02-27 22:58:21,407 - mmseg - INFO - Iter [22350/160000] lr: 1.721e-05, eta: 9:36:48, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3876, decode.acc_seg: 68.5824, aux.loss_ce: 0.1629, aux.acc_seg: 68.2661, loss: 0.5505 +2022-02-27 22:58:33,687 - mmseg - INFO - Iter [22400/160000] lr: 1.720e-05, eta: 9:36:34, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3800, decode.acc_seg: 69.3110, aux.loss_ce: 0.1574, aux.acc_seg: 69.0992, loss: 0.5374 +2022-02-27 22:58:46,115 - mmseg - INFO - Iter [22450/160000] lr: 1.719e-05, eta: 9:36:20, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3717, decode.acc_seg: 69.8933, aux.loss_ce: 0.1535, aux.acc_seg: 69.6901, loss: 0.5252 +2022-02-27 22:58:58,314 - mmseg - INFO - Iter [22500/160000] lr: 1.719e-05, eta: 9:36:05, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3440, decode.acc_seg: 68.8761, aux.loss_ce: 0.1452, aux.acc_seg: 68.4850, loss: 0.4892 +2022-02-27 22:59:10,529 - mmseg - INFO - Iter [22550/160000] lr: 1.718e-05, eta: 9:35:50, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3734, decode.acc_seg: 70.2055, aux.loss_ce: 0.1542, aux.acc_seg: 69.9992, loss: 0.5276 +2022-02-27 22:59:22,832 - mmseg - INFO - Iter [22600/160000] lr: 1.718e-05, eta: 9:35:36, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3722, decode.acc_seg: 69.0772, aux.loss_ce: 0.1551, aux.acc_seg: 68.7936, loss: 0.5272 +2022-02-27 22:59:35,270 - mmseg - INFO - Iter [22650/160000] lr: 1.717e-05, eta: 9:35:23, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3692, decode.acc_seg: 68.9179, aux.loss_ce: 0.1549, aux.acc_seg: 68.5799, loss: 0.5241 +2022-02-27 22:59:47,599 - mmseg - INFO - Iter [22700/160000] lr: 1.716e-05, eta: 9:35:09, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3523, decode.acc_seg: 68.4072, aux.loss_ce: 0.1475, aux.acc_seg: 68.2459, loss: 0.4999 +2022-02-27 23:00:02,154 - mmseg - INFO - Iter [22750/160000] lr: 1.716e-05, eta: 9:35:08, time: 0.291, data_time: 0.050, memory: 56778, decode.loss_ce: 0.3652, decode.acc_seg: 69.3752, aux.loss_ce: 0.1541, aux.acc_seg: 68.9312, loss: 0.5193 +2022-02-27 23:00:14,328 - mmseg - INFO - Iter [22800/160000] lr: 1.715e-05, eta: 9:34:53, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3604, decode.acc_seg: 67.6472, aux.loss_ce: 0.1509, aux.acc_seg: 67.3946, loss: 0.5112 +2022-02-27 23:00:26,636 - mmseg - INFO - Iter [22850/160000] lr: 1.714e-05, eta: 9:34:39, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3641, decode.acc_seg: 70.3049, aux.loss_ce: 0.1536, aux.acc_seg: 69.9396, loss: 0.5177 +2022-02-27 23:00:39,262 - mmseg - INFO - Iter [22900/160000] lr: 1.714e-05, eta: 9:34:27, time: 0.253, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3663, decode.acc_seg: 69.5894, aux.loss_ce: 0.1530, aux.acc_seg: 69.1744, loss: 0.5193 +2022-02-27 23:00:51,446 - mmseg - INFO - Iter [22950/160000] lr: 1.713e-05, eta: 9:34:12, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3435, decode.acc_seg: 70.3604, aux.loss_ce: 0.1441, aux.acc_seg: 70.0640, loss: 0.4877 +2022-02-27 23:01:03,728 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 23:01:03,728 - mmseg - INFO - Iter [23000/160000] lr: 1.713e-05, eta: 9:33:58, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3538, decode.acc_seg: 67.8678, aux.loss_ce: 0.1517, aux.acc_seg: 67.4307, loss: 0.5055 +2022-02-27 23:01:15,893 - mmseg - INFO - Iter [23050/160000] lr: 1.712e-05, eta: 9:33:43, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3493, decode.acc_seg: 69.7810, aux.loss_ce: 0.1477, aux.acc_seg: 69.4226, loss: 0.4970 +2022-02-27 23:01:28,120 - mmseg - INFO - Iter [23100/160000] lr: 1.711e-05, eta: 9:33:28, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3464, decode.acc_seg: 69.6912, aux.loss_ce: 0.1469, aux.acc_seg: 69.3471, loss: 0.4933 +2022-02-27 23:01:40,556 - mmseg - INFO - Iter [23150/160000] lr: 1.711e-05, eta: 9:33:15, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3543, decode.acc_seg: 69.1870, aux.loss_ce: 0.1502, aux.acc_seg: 68.8076, loss: 0.5045 +2022-02-27 23:01:53,001 - mmseg - INFO - Iter [23200/160000] lr: 1.710e-05, eta: 9:33:02, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3547, decode.acc_seg: 68.2047, aux.loss_ce: 0.1497, aux.acc_seg: 67.8686, loss: 0.5044 +2022-02-27 23:02:05,261 - mmseg - INFO - Iter [23250/160000] lr: 1.709e-05, eta: 9:32:47, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3763, decode.acc_seg: 70.3731, aux.loss_ce: 0.1601, aux.acc_seg: 69.8803, loss: 0.5364 +2022-02-27 23:02:17,521 - mmseg - INFO - Iter [23300/160000] lr: 1.709e-05, eta: 9:32:33, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3850, decode.acc_seg: 69.1216, aux.loss_ce: 0.1611, aux.acc_seg: 68.8039, loss: 0.5461 +2022-02-27 23:02:29,840 - mmseg - INFO - Iter [23350/160000] lr: 1.708e-05, eta: 9:32:19, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3368, decode.acc_seg: 68.4549, aux.loss_ce: 0.1418, aux.acc_seg: 68.1034, loss: 0.4786 +2022-02-27 23:02:41,990 - mmseg - INFO - Iter [23400/160000] lr: 1.708e-05, eta: 9:32:04, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3392, decode.acc_seg: 68.8927, aux.loss_ce: 0.1432, aux.acc_seg: 68.3926, loss: 0.4824 +2022-02-27 23:02:54,500 - mmseg - INFO - Iter [23450/160000] lr: 1.707e-05, eta: 9:31:51, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3828, decode.acc_seg: 67.5753, aux.loss_ce: 0.1622, aux.acc_seg: 67.1278, loss: 0.5450 +2022-02-27 23:03:06,793 - mmseg - INFO - Iter [23500/160000] lr: 1.706e-05, eta: 9:31:37, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3736, decode.acc_seg: 68.4966, aux.loss_ce: 0.1567, aux.acc_seg: 68.2227, loss: 0.5303 +2022-02-27 23:03:19,011 - mmseg - INFO - Iter [23550/160000] lr: 1.706e-05, eta: 9:31:22, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3538, decode.acc_seg: 70.7248, aux.loss_ce: 0.1492, aux.acc_seg: 70.4186, loss: 0.5029 +2022-02-27 23:03:31,347 - mmseg - INFO - Iter [23600/160000] lr: 1.705e-05, eta: 9:31:08, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3634, decode.acc_seg: 70.0976, aux.loss_ce: 0.1536, aux.acc_seg: 69.6188, loss: 0.5170 +2022-02-27 23:03:43,667 - mmseg - INFO - Iter [23650/160000] lr: 1.704e-05, eta: 9:30:55, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3425, decode.acc_seg: 68.8980, aux.loss_ce: 0.1437, aux.acc_seg: 68.6196, loss: 0.4862 +2022-02-27 23:03:55,897 - mmseg - INFO - Iter [23700/160000] lr: 1.704e-05, eta: 9:30:40, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3681, decode.acc_seg: 68.4169, aux.loss_ce: 0.1539, aux.acc_seg: 68.1377, loss: 0.5220 +2022-02-27 23:04:08,333 - mmseg - INFO - Iter [23750/160000] lr: 1.703e-05, eta: 9:30:27, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3469, decode.acc_seg: 69.2576, aux.loss_ce: 0.1471, aux.acc_seg: 68.8634, loss: 0.4940 +2022-02-27 23:04:20,596 - mmseg - INFO - Iter [23800/160000] lr: 1.703e-05, eta: 9:30:12, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3589, decode.acc_seg: 69.0224, aux.loss_ce: 0.1524, aux.acc_seg: 68.7319, loss: 0.5113 +2022-02-27 23:04:32,876 - mmseg - INFO - Iter [23850/160000] lr: 1.702e-05, eta: 9:29:58, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3585, decode.acc_seg: 70.1379, aux.loss_ce: 0.1500, aux.acc_seg: 69.9312, loss: 0.5085 +2022-02-27 23:04:45,238 - mmseg - INFO - Iter [23900/160000] lr: 1.701e-05, eta: 9:29:45, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3473, decode.acc_seg: 70.5967, aux.loss_ce: 0.1477, aux.acc_seg: 70.0446, loss: 0.4950 +2022-02-27 23:04:57,681 - mmseg - INFO - Iter [23950/160000] lr: 1.701e-05, eta: 9:29:31, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3482, decode.acc_seg: 69.5324, aux.loss_ce: 0.1452, aux.acc_seg: 69.2042, loss: 0.4934 +2022-02-27 23:05:12,205 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 23:05:12,206 - mmseg - INFO - Iter [24000/160000] lr: 1.700e-05, eta: 9:29:30, time: 0.291, data_time: 0.050, memory: 56778, decode.loss_ce: 0.3515, decode.acc_seg: 69.0076, aux.loss_ce: 0.1491, aux.acc_seg: 68.5646, loss: 0.5005 +2022-02-27 23:05:24,671 - mmseg - INFO - Iter [24050/160000] lr: 1.699e-05, eta: 9:29:17, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3490, decode.acc_seg: 70.1703, aux.loss_ce: 0.1468, aux.acc_seg: 69.8164, loss: 0.4958 +2022-02-27 23:05:36,882 - mmseg - INFO - Iter [24100/160000] lr: 1.699e-05, eta: 9:29:02, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3535, decode.acc_seg: 69.4944, aux.loss_ce: 0.1475, aux.acc_seg: 69.2341, loss: 0.5010 +2022-02-27 23:05:49,032 - mmseg - INFO - Iter [24150/160000] lr: 1.698e-05, eta: 9:28:47, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3272, decode.acc_seg: 69.2422, aux.loss_ce: 0.1397, aux.acc_seg: 68.8232, loss: 0.4669 +2022-02-27 23:06:01,258 - mmseg - INFO - Iter [24200/160000] lr: 1.698e-05, eta: 9:28:33, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3595, decode.acc_seg: 70.2158, aux.loss_ce: 0.1518, aux.acc_seg: 69.6941, loss: 0.5113 +2022-02-27 23:06:13,690 - mmseg - INFO - Iter [24250/160000] lr: 1.697e-05, eta: 9:28:20, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3535, decode.acc_seg: 71.2145, aux.loss_ce: 0.1499, aux.acc_seg: 70.7841, loss: 0.5034 +2022-02-27 23:06:26,036 - mmseg - INFO - Iter [24300/160000] lr: 1.696e-05, eta: 9:28:06, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3609, decode.acc_seg: 69.8603, aux.loss_ce: 0.1516, aux.acc_seg: 69.5367, loss: 0.5125 +2022-02-27 23:06:38,272 - mmseg - INFO - Iter [24350/160000] lr: 1.696e-05, eta: 9:27:52, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3869, decode.acc_seg: 67.8659, aux.loss_ce: 0.1605, aux.acc_seg: 67.4738, loss: 0.5474 +2022-02-27 23:06:50,513 - mmseg - INFO - Iter [24400/160000] lr: 1.695e-05, eta: 9:27:37, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3519, decode.acc_seg: 69.9300, aux.loss_ce: 0.1478, aux.acc_seg: 69.4677, loss: 0.4996 +2022-02-27 23:07:02,740 - mmseg - INFO - Iter [24450/160000] lr: 1.694e-05, eta: 9:27:23, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3840, decode.acc_seg: 68.1798, aux.loss_ce: 0.1608, aux.acc_seg: 67.8056, loss: 0.5448 +2022-02-27 23:07:14,981 - mmseg - INFO - Iter [24500/160000] lr: 1.694e-05, eta: 9:27:09, time: 0.245, data_time: 0.005, memory: 56778, decode.loss_ce: 0.3409, decode.acc_seg: 69.7474, aux.loss_ce: 0.1441, aux.acc_seg: 69.3679, loss: 0.4850 +2022-02-27 23:07:27,169 - mmseg - INFO - Iter [24550/160000] lr: 1.693e-05, eta: 9:26:54, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3537, decode.acc_seg: 70.3482, aux.loss_ce: 0.1501, aux.acc_seg: 69.9139, loss: 0.5038 +2022-02-27 23:07:39,373 - mmseg - INFO - Iter [24600/160000] lr: 1.693e-05, eta: 9:26:40, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3505, decode.acc_seg: 70.2918, aux.loss_ce: 0.1478, aux.acc_seg: 69.6146, loss: 0.4982 +2022-02-27 23:07:51,732 - mmseg - INFO - Iter [24650/160000] lr: 1.692e-05, eta: 9:26:26, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3408, decode.acc_seg: 68.7104, aux.loss_ce: 0.1430, aux.acc_seg: 68.3132, loss: 0.4838 +2022-02-27 23:08:04,052 - mmseg - INFO - Iter [24700/160000] lr: 1.691e-05, eta: 9:26:12, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3460, decode.acc_seg: 70.3735, aux.loss_ce: 0.1478, aux.acc_seg: 69.8882, loss: 0.4938 +2022-02-27 23:08:16,652 - mmseg - INFO - Iter [24750/160000] lr: 1.691e-05, eta: 9:26:00, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3526, decode.acc_seg: 68.2591, aux.loss_ce: 0.1487, aux.acc_seg: 67.9591, loss: 0.5013 +2022-02-27 23:08:28,937 - mmseg - INFO - Iter [24800/160000] lr: 1.690e-05, eta: 9:25:46, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3623, decode.acc_seg: 69.5784, aux.loss_ce: 0.1532, aux.acc_seg: 69.0822, loss: 0.5154 +2022-02-27 23:08:41,221 - mmseg - INFO - Iter [24850/160000] lr: 1.689e-05, eta: 9:25:32, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3765, decode.acc_seg: 68.4649, aux.loss_ce: 0.1571, aux.acc_seg: 68.0459, loss: 0.5337 +2022-02-27 23:08:53,480 - mmseg - INFO - Iter [24900/160000] lr: 1.689e-05, eta: 9:25:18, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3610, decode.acc_seg: 69.5370, aux.loss_ce: 0.1524, aux.acc_seg: 69.0214, loss: 0.5133 +2022-02-27 23:09:05,729 - mmseg - INFO - Iter [24950/160000] lr: 1.688e-05, eta: 9:25:03, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3468, decode.acc_seg: 69.5943, aux.loss_ce: 0.1471, aux.acc_seg: 69.1606, loss: 0.4939 +2022-02-27 23:09:18,329 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 23:09:18,329 - mmseg - INFO - Iter [25000/160000] lr: 1.688e-05, eta: 9:24:51, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3540, decode.acc_seg: 69.6449, aux.loss_ce: 0.1489, aux.acc_seg: 69.3474, loss: 0.5029 +2022-02-27 23:09:30,762 - mmseg - INFO - Iter [25050/160000] lr: 1.687e-05, eta: 9:24:38, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3678, decode.acc_seg: 68.3809, aux.loss_ce: 0.1552, aux.acc_seg: 67.8360, loss: 0.5230 +2022-02-27 23:09:43,022 - mmseg - INFO - Iter [25100/160000] lr: 1.686e-05, eta: 9:24:24, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3529, decode.acc_seg: 69.0824, aux.loss_ce: 0.1465, aux.acc_seg: 68.9821, loss: 0.4994 +2022-02-27 23:09:55,301 - mmseg - INFO - Iter [25150/160000] lr: 1.686e-05, eta: 9:24:10, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3904, decode.acc_seg: 69.7808, aux.loss_ce: 0.1631, aux.acc_seg: 69.5206, loss: 0.5535 +2022-02-27 23:10:07,624 - mmseg - INFO - Iter [25200/160000] lr: 1.685e-05, eta: 9:23:56, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3531, decode.acc_seg: 68.7982, aux.loss_ce: 0.1489, aux.acc_seg: 68.3774, loss: 0.5020 +2022-02-27 23:10:20,071 - mmseg - INFO - Iter [25250/160000] lr: 1.684e-05, eta: 9:23:43, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3863, decode.acc_seg: 68.7333, aux.loss_ce: 0.1604, aux.acc_seg: 68.4575, loss: 0.5467 +2022-02-27 23:10:34,484 - mmseg - INFO - Iter [25300/160000] lr: 1.684e-05, eta: 9:23:40, time: 0.288, data_time: 0.048, memory: 56778, decode.loss_ce: 0.3509, decode.acc_seg: 69.9375, aux.loss_ce: 0.1478, aux.acc_seg: 69.4291, loss: 0.4987 +2022-02-27 23:10:46,832 - mmseg - INFO - Iter [25350/160000] lr: 1.683e-05, eta: 9:23:27, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3190, decode.acc_seg: 71.0720, aux.loss_ce: 0.1363, aux.acc_seg: 70.6984, loss: 0.4553 +2022-02-27 23:10:59,040 - mmseg - INFO - Iter [25400/160000] lr: 1.683e-05, eta: 9:23:12, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3320, decode.acc_seg: 69.3293, aux.loss_ce: 0.1421, aux.acc_seg: 68.8033, loss: 0.4741 +2022-02-27 23:11:11,190 - mmseg - INFO - Iter [25450/160000] lr: 1.682e-05, eta: 9:22:57, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3154, decode.acc_seg: 72.0743, aux.loss_ce: 0.1356, aux.acc_seg: 71.6368, loss: 0.4510 +2022-02-27 23:11:23,397 - mmseg - INFO - Iter [25500/160000] lr: 1.681e-05, eta: 9:22:43, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3603, decode.acc_seg: 70.7806, aux.loss_ce: 0.1527, aux.acc_seg: 70.3973, loss: 0.5129 +2022-02-27 23:11:36,011 - mmseg - INFO - Iter [25550/160000] lr: 1.681e-05, eta: 9:22:31, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3453, decode.acc_seg: 68.8296, aux.loss_ce: 0.1446, aux.acc_seg: 68.5570, loss: 0.4899 +2022-02-27 23:11:48,268 - mmseg - INFO - Iter [25600/160000] lr: 1.680e-05, eta: 9:22:17, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3684, decode.acc_seg: 68.6791, aux.loss_ce: 0.1540, aux.acc_seg: 68.1230, loss: 0.5225 +2022-02-27 23:12:00,640 - mmseg - INFO - Iter [25650/160000] lr: 1.679e-05, eta: 9:22:03, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3762, decode.acc_seg: 68.3879, aux.loss_ce: 0.1571, aux.acc_seg: 68.0375, loss: 0.5333 +2022-02-27 23:12:12,947 - mmseg - INFO - Iter [25700/160000] lr: 1.679e-05, eta: 9:21:49, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3821, decode.acc_seg: 70.0062, aux.loss_ce: 0.1601, aux.acc_seg: 69.7742, loss: 0.5422 +2022-02-27 23:12:25,250 - mmseg - INFO - Iter [25750/160000] lr: 1.678e-05, eta: 9:21:36, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3381, decode.acc_seg: 72.9534, aux.loss_ce: 0.1437, aux.acc_seg: 72.4058, loss: 0.4818 +2022-02-27 23:12:37,418 - mmseg - INFO - Iter [25800/160000] lr: 1.678e-05, eta: 9:21:21, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3547, decode.acc_seg: 69.9276, aux.loss_ce: 0.1512, aux.acc_seg: 69.4133, loss: 0.5059 +2022-02-27 23:12:49,821 - mmseg - INFO - Iter [25850/160000] lr: 1.677e-05, eta: 9:21:08, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3348, decode.acc_seg: 70.1618, aux.loss_ce: 0.1428, aux.acc_seg: 69.7794, loss: 0.4776 +2022-02-27 23:13:02,055 - mmseg - INFO - Iter [25900/160000] lr: 1.676e-05, eta: 9:20:54, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3548, decode.acc_seg: 70.6112, aux.loss_ce: 0.1507, aux.acc_seg: 70.1082, loss: 0.5055 +2022-02-27 23:13:14,237 - mmseg - INFO - Iter [25950/160000] lr: 1.676e-05, eta: 9:20:39, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3375, decode.acc_seg: 68.9607, aux.loss_ce: 0.1436, aux.acc_seg: 68.4698, loss: 0.4811 +2022-02-27 23:13:26,843 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 23:13:26,843 - mmseg - INFO - Iter [26000/160000] lr: 1.675e-05, eta: 9:20:27, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3515, decode.acc_seg: 69.9951, aux.loss_ce: 0.1492, aux.acc_seg: 69.6809, loss: 0.5007 +2022-02-27 23:13:39,121 - mmseg - INFO - Iter [26050/160000] lr: 1.674e-05, eta: 9:20:13, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3376, decode.acc_seg: 69.7653, aux.loss_ce: 0.1435, aux.acc_seg: 69.3530, loss: 0.4811 +2022-02-27 23:13:51,486 - mmseg - INFO - Iter [26100/160000] lr: 1.674e-05, eta: 9:19:59, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3179, decode.acc_seg: 69.7592, aux.loss_ce: 0.1360, aux.acc_seg: 69.2738, loss: 0.4539 +2022-02-27 23:14:03,871 - mmseg - INFO - Iter [26150/160000] lr: 1.673e-05, eta: 9:19:46, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3591, decode.acc_seg: 68.9139, aux.loss_ce: 0.1519, aux.acc_seg: 68.3288, loss: 0.5110 +2022-02-27 23:14:16,234 - mmseg - INFO - Iter [26200/160000] lr: 1.673e-05, eta: 9:19:33, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3748, decode.acc_seg: 68.6139, aux.loss_ce: 0.1556, aux.acc_seg: 68.2606, loss: 0.5305 +2022-02-27 23:14:28,958 - mmseg - INFO - Iter [26250/160000] lr: 1.672e-05, eta: 9:19:21, time: 0.254, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3648, decode.acc_seg: 68.6330, aux.loss_ce: 0.1535, aux.acc_seg: 68.1265, loss: 0.5183 +2022-02-27 23:14:41,459 - mmseg - INFO - Iter [26300/160000] lr: 1.671e-05, eta: 9:19:08, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3370, decode.acc_seg: 70.4249, aux.loss_ce: 0.1409, aux.acc_seg: 69.9523, loss: 0.4779 +2022-02-27 23:14:53,723 - mmseg - INFO - Iter [26350/160000] lr: 1.671e-05, eta: 9:18:54, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3388, decode.acc_seg: 70.2582, aux.loss_ce: 0.1433, aux.acc_seg: 69.7968, loss: 0.4821 +2022-02-27 23:15:06,352 - mmseg - INFO - Iter [26400/160000] lr: 1.670e-05, eta: 9:18:42, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3532, decode.acc_seg: 69.7273, aux.loss_ce: 0.1480, aux.acc_seg: 69.3824, loss: 0.5012 +2022-02-27 23:15:18,709 - mmseg - INFO - Iter [26450/160000] lr: 1.669e-05, eta: 9:18:29, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3798, decode.acc_seg: 68.0257, aux.loss_ce: 0.1609, aux.acc_seg: 67.4777, loss: 0.5407 +2022-02-27 23:15:31,250 - mmseg - INFO - Iter [26500/160000] lr: 1.669e-05, eta: 9:18:16, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3674, decode.acc_seg: 68.8785, aux.loss_ce: 0.1556, aux.acc_seg: 68.3916, loss: 0.5230 +2022-02-27 23:15:45,771 - mmseg - INFO - Iter [26550/160000] lr: 1.668e-05, eta: 9:18:13, time: 0.291, data_time: 0.052, memory: 56778, decode.loss_ce: 0.3398, decode.acc_seg: 70.1645, aux.loss_ce: 0.1427, aux.acc_seg: 69.9177, loss: 0.4825 +2022-02-27 23:15:57,959 - mmseg - INFO - Iter [26600/160000] lr: 1.668e-05, eta: 9:17:59, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3310, decode.acc_seg: 68.8970, aux.loss_ce: 0.1400, aux.acc_seg: 68.2891, loss: 0.4710 +2022-02-27 23:16:10,200 - mmseg - INFO - Iter [26650/160000] lr: 1.667e-05, eta: 9:17:45, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3167, decode.acc_seg: 68.7548, aux.loss_ce: 0.1361, aux.acc_seg: 68.2878, loss: 0.4529 +2022-02-27 23:16:22,426 - mmseg - INFO - Iter [26700/160000] lr: 1.666e-05, eta: 9:17:31, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3442, decode.acc_seg: 69.4815, aux.loss_ce: 0.1441, aux.acc_seg: 69.0660, loss: 0.4883 +2022-02-27 23:16:34,635 - mmseg - INFO - Iter [26750/160000] lr: 1.666e-05, eta: 9:17:17, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3299, decode.acc_seg: 70.8842, aux.loss_ce: 0.1408, aux.acc_seg: 70.3348, loss: 0.4707 +2022-02-27 23:16:46,925 - mmseg - INFO - Iter [26800/160000] lr: 1.665e-05, eta: 9:17:03, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3356, decode.acc_seg: 69.6822, aux.loss_ce: 0.1388, aux.acc_seg: 69.2336, loss: 0.4744 +2022-02-27 23:16:59,279 - mmseg - INFO - Iter [26850/160000] lr: 1.664e-05, eta: 9:16:49, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3076, decode.acc_seg: 69.8708, aux.loss_ce: 0.1305, aux.acc_seg: 69.3456, loss: 0.4381 +2022-02-27 23:17:11,537 - mmseg - INFO - Iter [26900/160000] lr: 1.664e-05, eta: 9:16:35, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3313, decode.acc_seg: 71.3660, aux.loss_ce: 0.1431, aux.acc_seg: 70.6844, loss: 0.4744 +2022-02-27 23:17:23,738 - mmseg - INFO - Iter [26950/160000] lr: 1.663e-05, eta: 9:16:21, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3420, decode.acc_seg: 69.9713, aux.loss_ce: 0.1448, aux.acc_seg: 69.5474, loss: 0.4869 +2022-02-27 23:17:36,066 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 23:17:36,066 - mmseg - INFO - Iter [27000/160000] lr: 1.663e-05, eta: 9:16:07, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3353, decode.acc_seg: 69.4868, aux.loss_ce: 0.1423, aux.acc_seg: 69.0231, loss: 0.4776 +2022-02-27 23:17:48,286 - mmseg - INFO - Iter [27050/160000] lr: 1.662e-05, eta: 9:15:53, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3465, decode.acc_seg: 69.6090, aux.loss_ce: 0.1475, aux.acc_seg: 69.2985, loss: 0.4940 +2022-02-27 23:18:00,419 - mmseg - INFO - Iter [27100/160000] lr: 1.661e-05, eta: 9:15:39, time: 0.242, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3757, decode.acc_seg: 70.1446, aux.loss_ce: 0.1554, aux.acc_seg: 69.8944, loss: 0.5312 +2022-02-27 23:18:12,626 - mmseg - INFO - Iter [27150/160000] lr: 1.661e-05, eta: 9:15:25, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3392, decode.acc_seg: 69.3900, aux.loss_ce: 0.1445, aux.acc_seg: 68.7788, loss: 0.4837 +2022-02-27 23:18:24,913 - mmseg - INFO - Iter [27200/160000] lr: 1.660e-05, eta: 9:15:11, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3345, decode.acc_seg: 71.0994, aux.loss_ce: 0.1402, aux.acc_seg: 70.7569, loss: 0.4747 +2022-02-27 23:18:37,374 - mmseg - INFO - Iter [27250/160000] lr: 1.659e-05, eta: 9:14:58, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3335, decode.acc_seg: 68.9558, aux.loss_ce: 0.1422, aux.acc_seg: 68.3716, loss: 0.4756 +2022-02-27 23:18:49,597 - mmseg - INFO - Iter [27300/160000] lr: 1.659e-05, eta: 9:14:44, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3458, decode.acc_seg: 69.9534, aux.loss_ce: 0.1455, aux.acc_seg: 69.6908, loss: 0.4913 +2022-02-27 23:19:01,865 - mmseg - INFO - Iter [27350/160000] lr: 1.658e-05, eta: 9:14:30, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3334, decode.acc_seg: 70.4180, aux.loss_ce: 0.1414, aux.acc_seg: 69.9326, loss: 0.4747 +2022-02-27 23:19:14,335 - mmseg - INFO - Iter [27400/160000] lr: 1.658e-05, eta: 9:14:17, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3207, decode.acc_seg: 71.4156, aux.loss_ce: 0.1366, aux.acc_seg: 70.9450, loss: 0.4573 +2022-02-27 23:19:26,724 - mmseg - INFO - Iter [27450/160000] lr: 1.657e-05, eta: 9:14:04, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3274, decode.acc_seg: 71.6505, aux.loss_ce: 0.1398, aux.acc_seg: 71.0970, loss: 0.4671 +2022-02-27 23:19:39,094 - mmseg - INFO - Iter [27500/160000] lr: 1.656e-05, eta: 9:13:50, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3410, decode.acc_seg: 70.1128, aux.loss_ce: 0.1436, aux.acc_seg: 69.7645, loss: 0.4846 +2022-02-27 23:19:51,426 - mmseg - INFO - Iter [27550/160000] lr: 1.656e-05, eta: 9:13:37, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3405, decode.acc_seg: 68.9031, aux.loss_ce: 0.1412, aux.acc_seg: 68.5164, loss: 0.4817 +2022-02-27 23:20:03,580 - mmseg - INFO - Iter [27600/160000] lr: 1.655e-05, eta: 9:13:22, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3632, decode.acc_seg: 69.6183, aux.loss_ce: 0.1524, aux.acc_seg: 69.1274, loss: 0.5156 +2022-02-27 23:20:15,959 - mmseg - INFO - Iter [27650/160000] lr: 1.654e-05, eta: 9:13:09, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3150, decode.acc_seg: 70.2939, aux.loss_ce: 0.1326, aux.acc_seg: 69.8743, loss: 0.4476 +2022-02-27 23:20:28,199 - mmseg - INFO - Iter [27700/160000] lr: 1.654e-05, eta: 9:12:55, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3378, decode.acc_seg: 69.9943, aux.loss_ce: 0.1425, aux.acc_seg: 69.7846, loss: 0.4803 +2022-02-27 23:20:40,370 - mmseg - INFO - Iter [27750/160000] lr: 1.653e-05, eta: 9:12:41, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3468, decode.acc_seg: 71.0349, aux.loss_ce: 0.1449, aux.acc_seg: 70.5036, loss: 0.4917 +2022-02-27 23:20:54,910 - mmseg - INFO - Iter [27800/160000] lr: 1.653e-05, eta: 9:12:38, time: 0.291, data_time: 0.048, memory: 56778, decode.loss_ce: 0.3212, decode.acc_seg: 70.7494, aux.loss_ce: 0.1360, aux.acc_seg: 70.3697, loss: 0.4572 +2022-02-27 23:21:07,109 - mmseg - INFO - Iter [27850/160000] lr: 1.652e-05, eta: 9:12:24, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3265, decode.acc_seg: 69.7497, aux.loss_ce: 0.1386, aux.acc_seg: 69.3084, loss: 0.4651 +2022-02-27 23:21:19,321 - mmseg - INFO - Iter [27900/160000] lr: 1.651e-05, eta: 9:12:10, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3359, decode.acc_seg: 71.2970, aux.loss_ce: 0.1420, aux.acc_seg: 70.7977, loss: 0.4780 +2022-02-27 23:21:31,441 - mmseg - INFO - Iter [27950/160000] lr: 1.651e-05, eta: 9:11:55, time: 0.242, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3119, decode.acc_seg: 71.2526, aux.loss_ce: 0.1321, aux.acc_seg: 70.7419, loss: 0.4440 +2022-02-27 23:21:43,640 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 23:21:43,641 - mmseg - INFO - Iter [28000/160000] lr: 1.650e-05, eta: 9:11:41, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3153, decode.acc_seg: 71.4740, aux.loss_ce: 0.1326, aux.acc_seg: 71.1682, loss: 0.4479 +2022-02-27 23:21:55,829 - mmseg - INFO - Iter [28050/160000] lr: 1.649e-05, eta: 9:11:27, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3426, decode.acc_seg: 71.0572, aux.loss_ce: 0.1454, aux.acc_seg: 70.7017, loss: 0.4881 +2022-02-27 23:22:08,038 - mmseg - INFO - Iter [28100/160000] lr: 1.649e-05, eta: 9:11:13, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3158, decode.acc_seg: 70.5990, aux.loss_ce: 0.1344, aux.acc_seg: 70.1416, loss: 0.4502 +2022-02-27 23:22:20,373 - mmseg - INFO - Iter [28150/160000] lr: 1.648e-05, eta: 9:10:59, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3417, decode.acc_seg: 69.5307, aux.loss_ce: 0.1446, aux.acc_seg: 69.1474, loss: 0.4863 +2022-02-27 23:22:32,561 - mmseg - INFO - Iter [28200/160000] lr: 1.648e-05, eta: 9:10:45, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3017, decode.acc_seg: 71.8317, aux.loss_ce: 0.1271, aux.acc_seg: 71.3363, loss: 0.4288 +2022-02-27 23:22:44,773 - mmseg - INFO - Iter [28250/160000] lr: 1.647e-05, eta: 9:10:31, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3321, decode.acc_seg: 70.1183, aux.loss_ce: 0.1406, aux.acc_seg: 69.5355, loss: 0.4728 +2022-02-27 23:22:56,930 - mmseg - INFO - Iter [28300/160000] lr: 1.646e-05, eta: 9:10:17, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3264, decode.acc_seg: 70.9186, aux.loss_ce: 0.1393, aux.acc_seg: 70.4861, loss: 0.4657 +2022-02-27 23:23:09,333 - mmseg - INFO - Iter [28350/160000] lr: 1.646e-05, eta: 9:10:03, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3300, decode.acc_seg: 67.8486, aux.loss_ce: 0.1409, aux.acc_seg: 67.4217, loss: 0.4708 +2022-02-27 23:23:21,520 - mmseg - INFO - Iter [28400/160000] lr: 1.645e-05, eta: 9:09:49, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3283, decode.acc_seg: 70.7476, aux.loss_ce: 0.1411, aux.acc_seg: 70.2860, loss: 0.4694 +2022-02-27 23:23:33,740 - mmseg - INFO - Iter [28450/160000] lr: 1.644e-05, eta: 9:09:35, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3363, decode.acc_seg: 69.5500, aux.loss_ce: 0.1436, aux.acc_seg: 69.0456, loss: 0.4799 +2022-02-27 23:23:45,885 - mmseg - INFO - Iter [28500/160000] lr: 1.644e-05, eta: 9:09:21, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3352, decode.acc_seg: 70.3590, aux.loss_ce: 0.1419, aux.acc_seg: 69.8756, loss: 0.4771 +2022-02-27 23:23:58,041 - mmseg - INFO - Iter [28550/160000] lr: 1.643e-05, eta: 9:09:07, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3229, decode.acc_seg: 70.0632, aux.loss_ce: 0.1373, aux.acc_seg: 69.5503, loss: 0.4602 +2022-02-27 23:24:10,465 - mmseg - INFO - Iter [28600/160000] lr: 1.643e-05, eta: 9:08:54, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3139, decode.acc_seg: 70.8199, aux.loss_ce: 0.1332, aux.acc_seg: 70.3211, loss: 0.4471 +2022-02-27 23:24:22,824 - mmseg - INFO - Iter [28650/160000] lr: 1.642e-05, eta: 9:08:40, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3116, decode.acc_seg: 71.4445, aux.loss_ce: 0.1314, aux.acc_seg: 70.9157, loss: 0.4430 +2022-02-27 23:24:35,075 - mmseg - INFO - Iter [28700/160000] lr: 1.641e-05, eta: 9:08:27, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3196, decode.acc_seg: 70.3179, aux.loss_ce: 0.1380, aux.acc_seg: 69.8335, loss: 0.4576 +2022-02-27 23:24:47,354 - mmseg - INFO - Iter [28750/160000] lr: 1.641e-05, eta: 9:08:13, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3215, decode.acc_seg: 70.6565, aux.loss_ce: 0.1345, aux.acc_seg: 70.4882, loss: 0.4560 +2022-02-27 23:24:59,647 - mmseg - INFO - Iter [28800/160000] lr: 1.640e-05, eta: 9:07:59, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3137, decode.acc_seg: 69.5013, aux.loss_ce: 0.1326, aux.acc_seg: 69.1107, loss: 0.4463 +2022-02-27 23:25:11,855 - mmseg - INFO - Iter [28850/160000] lr: 1.639e-05, eta: 9:07:45, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3252, decode.acc_seg: 68.8667, aux.loss_ce: 0.1368, aux.acc_seg: 68.3712, loss: 0.4621 +2022-02-27 23:25:24,071 - mmseg - INFO - Iter [28900/160000] lr: 1.639e-05, eta: 9:07:31, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3234, decode.acc_seg: 71.4892, aux.loss_ce: 0.1364, aux.acc_seg: 71.1234, loss: 0.4597 +2022-02-27 23:25:36,357 - mmseg - INFO - Iter [28950/160000] lr: 1.638e-05, eta: 9:07:18, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3452, decode.acc_seg: 70.1781, aux.loss_ce: 0.1455, aux.acc_seg: 69.7612, loss: 0.4907 +2022-02-27 23:25:48,804 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 23:25:48,804 - mmseg - INFO - Iter [29000/160000] lr: 1.638e-05, eta: 9:07:05, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3347, decode.acc_seg: 70.8297, aux.loss_ce: 0.1423, aux.acc_seg: 70.3373, loss: 0.4770 +2022-02-27 23:26:03,419 - mmseg - INFO - Iter [29050/160000] lr: 1.637e-05, eta: 9:07:02, time: 0.292, data_time: 0.048, memory: 56778, decode.loss_ce: 0.3299, decode.acc_seg: 70.6767, aux.loss_ce: 0.1412, aux.acc_seg: 70.1961, loss: 0.4710 +2022-02-27 23:26:15,845 - mmseg - INFO - Iter [29100/160000] lr: 1.636e-05, eta: 9:06:49, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3141, decode.acc_seg: 69.8422, aux.loss_ce: 0.1350, aux.acc_seg: 69.4303, loss: 0.4491 +2022-02-27 23:26:28,211 - mmseg - INFO - Iter [29150/160000] lr: 1.636e-05, eta: 9:06:35, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2992, decode.acc_seg: 70.5347, aux.loss_ce: 0.1281, aux.acc_seg: 70.1028, loss: 0.4273 +2022-02-27 23:26:40,402 - mmseg - INFO - Iter [29200/160000] lr: 1.635e-05, eta: 9:06:21, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3216, decode.acc_seg: 70.7328, aux.loss_ce: 0.1368, aux.acc_seg: 70.2878, loss: 0.4584 +2022-02-27 23:26:52,607 - mmseg - INFO - Iter [29250/160000] lr: 1.634e-05, eta: 9:06:07, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2959, decode.acc_seg: 71.0344, aux.loss_ce: 0.1249, aux.acc_seg: 70.5429, loss: 0.4208 +2022-02-27 23:27:04,918 - mmseg - INFO - Iter [29300/160000] lr: 1.634e-05, eta: 9:05:54, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3123, decode.acc_seg: 70.1801, aux.loss_ce: 0.1331, aux.acc_seg: 69.7914, loss: 0.4454 +2022-02-27 23:27:17,439 - mmseg - INFO - Iter [29350/160000] lr: 1.633e-05, eta: 9:05:41, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3122, decode.acc_seg: 69.8483, aux.loss_ce: 0.1335, aux.acc_seg: 69.3201, loss: 0.4457 +2022-02-27 23:27:29,765 - mmseg - INFO - Iter [29400/160000] lr: 1.633e-05, eta: 9:05:28, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3099, decode.acc_seg: 68.3957, aux.loss_ce: 0.1303, aux.acc_seg: 68.0767, loss: 0.4402 +2022-02-27 23:27:41,897 - mmseg - INFO - Iter [29450/160000] lr: 1.632e-05, eta: 9:05:13, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3514, decode.acc_seg: 70.1330, aux.loss_ce: 0.1461, aux.acc_seg: 69.9318, loss: 0.4975 +2022-02-27 23:27:54,357 - mmseg - INFO - Iter [29500/160000] lr: 1.631e-05, eta: 9:05:01, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3292, decode.acc_seg: 71.1184, aux.loss_ce: 0.1399, aux.acc_seg: 70.7138, loss: 0.4691 +2022-02-27 23:28:06,718 - mmseg - INFO - Iter [29550/160000] lr: 1.631e-05, eta: 9:04:47, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3379, decode.acc_seg: 70.9327, aux.loss_ce: 0.1409, aux.acc_seg: 70.7087, loss: 0.4788 +2022-02-27 23:28:19,315 - mmseg - INFO - Iter [29600/160000] lr: 1.630e-05, eta: 9:04:35, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3219, decode.acc_seg: 71.2685, aux.loss_ce: 0.1365, aux.acc_seg: 70.9311, loss: 0.4584 +2022-02-27 23:28:31,541 - mmseg - INFO - Iter [29650/160000] lr: 1.629e-05, eta: 9:04:21, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3063, decode.acc_seg: 71.0799, aux.loss_ce: 0.1306, aux.acc_seg: 70.6778, loss: 0.4368 +2022-02-27 23:28:43,961 - mmseg - INFO - Iter [29700/160000] lr: 1.629e-05, eta: 9:04:08, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3339, decode.acc_seg: 69.3983, aux.loss_ce: 0.1422, aux.acc_seg: 68.7781, loss: 0.4761 +2022-02-27 23:28:56,120 - mmseg - INFO - Iter [29750/160000] lr: 1.628e-05, eta: 9:03:54, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3203, decode.acc_seg: 71.3250, aux.loss_ce: 0.1369, aux.acc_seg: 70.8243, loss: 0.4573 +2022-02-27 23:29:08,404 - mmseg - INFO - Iter [29800/160000] lr: 1.628e-05, eta: 9:03:41, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3384, decode.acc_seg: 71.1777, aux.loss_ce: 0.1434, aux.acc_seg: 70.8566, loss: 0.4818 +2022-02-27 23:29:20,593 - mmseg - INFO - Iter [29850/160000] lr: 1.627e-05, eta: 9:03:26, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3414, decode.acc_seg: 69.2899, aux.loss_ce: 0.1424, aux.acc_seg: 69.0559, loss: 0.4838 +2022-02-27 23:29:32,744 - mmseg - INFO - Iter [29900/160000] lr: 1.626e-05, eta: 9:03:12, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3207, decode.acc_seg: 71.8933, aux.loss_ce: 0.1359, aux.acc_seg: 71.5129, loss: 0.4566 +2022-02-27 23:29:44,936 - mmseg - INFO - Iter [29950/160000] lr: 1.626e-05, eta: 9:02:58, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2983, decode.acc_seg: 72.7742, aux.loss_ce: 0.1283, aux.acc_seg: 72.1764, loss: 0.4267 +2022-02-27 23:29:57,067 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 23:29:57,067 - mmseg - INFO - Iter [30000/160000] lr: 1.625e-05, eta: 9:02:44, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3202, decode.acc_seg: 71.1847, aux.loss_ce: 0.1361, aux.acc_seg: 70.7483, loss: 0.4562 +2022-02-27 23:30:09,287 - mmseg - INFO - Iter [30050/160000] lr: 1.624e-05, eta: 9:02:30, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3249, decode.acc_seg: 69.0060, aux.loss_ce: 0.1375, aux.acc_seg: 68.5912, loss: 0.4624 +2022-02-27 23:30:21,556 - mmseg - INFO - Iter [30100/160000] lr: 1.624e-05, eta: 9:02:17, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3146, decode.acc_seg: 70.4889, aux.loss_ce: 0.1347, aux.acc_seg: 69.9723, loss: 0.4492 +2022-02-27 23:30:33,841 - mmseg - INFO - Iter [30150/160000] lr: 1.623e-05, eta: 9:02:03, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3323, decode.acc_seg: 70.5727, aux.loss_ce: 0.1407, aux.acc_seg: 70.1653, loss: 0.4730 +2022-02-27 23:30:46,080 - mmseg - INFO - Iter [30200/160000] lr: 1.623e-05, eta: 9:01:49, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3154, decode.acc_seg: 70.1138, aux.loss_ce: 0.1357, aux.acc_seg: 69.4987, loss: 0.4511 +2022-02-27 23:30:58,312 - mmseg - INFO - Iter [30250/160000] lr: 1.622e-05, eta: 9:01:36, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3248, decode.acc_seg: 69.1003, aux.loss_ce: 0.1397, aux.acc_seg: 68.6181, loss: 0.4645 +2022-02-27 23:31:10,660 - mmseg - INFO - Iter [30300/160000] lr: 1.621e-05, eta: 9:01:22, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3326, decode.acc_seg: 70.3923, aux.loss_ce: 0.1397, aux.acc_seg: 70.0355, loss: 0.4722 +2022-02-27 23:31:25,300 - mmseg - INFO - Iter [30350/160000] lr: 1.621e-05, eta: 9:01:19, time: 0.293, data_time: 0.049, memory: 56778, decode.loss_ce: 0.3017, decode.acc_seg: 71.4459, aux.loss_ce: 0.1281, aux.acc_seg: 71.0644, loss: 0.4298 +2022-02-27 23:31:37,493 - mmseg - INFO - Iter [30400/160000] lr: 1.620e-05, eta: 9:01:05, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3279, decode.acc_seg: 71.6922, aux.loss_ce: 0.1380, aux.acc_seg: 71.2290, loss: 0.4659 +2022-02-27 23:31:49,638 - mmseg - INFO - Iter [30450/160000] lr: 1.619e-05, eta: 9:00:51, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3111, decode.acc_seg: 70.5318, aux.loss_ce: 0.1330, aux.acc_seg: 70.1579, loss: 0.4441 +2022-02-27 23:32:01,770 - mmseg - INFO - Iter [30500/160000] lr: 1.619e-05, eta: 9:00:37, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3065, decode.acc_seg: 71.5456, aux.loss_ce: 0.1301, aux.acc_seg: 71.1070, loss: 0.4366 +2022-02-27 23:32:14,086 - mmseg - INFO - Iter [30550/160000] lr: 1.618e-05, eta: 9:00:23, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3176, decode.acc_seg: 70.3880, aux.loss_ce: 0.1340, aux.acc_seg: 70.1021, loss: 0.4516 +2022-02-27 23:32:26,348 - mmseg - INFO - Iter [30600/160000] lr: 1.618e-05, eta: 9:00:10, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3229, decode.acc_seg: 71.1330, aux.loss_ce: 0.1373, aux.acc_seg: 70.6334, loss: 0.4602 +2022-02-27 23:32:38,534 - mmseg - INFO - Iter [30650/160000] lr: 1.617e-05, eta: 8:59:56, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3206, decode.acc_seg: 71.3430, aux.loss_ce: 0.1371, aux.acc_seg: 70.8220, loss: 0.4577 +2022-02-27 23:32:50,954 - mmseg - INFO - Iter [30700/160000] lr: 1.616e-05, eta: 8:59:43, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3249, decode.acc_seg: 70.9897, aux.loss_ce: 0.1361, aux.acc_seg: 70.7664, loss: 0.4610 +2022-02-27 23:33:03,055 - mmseg - INFO - Iter [30750/160000] lr: 1.616e-05, eta: 8:59:28, time: 0.242, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3156, decode.acc_seg: 70.8523, aux.loss_ce: 0.1340, aux.acc_seg: 70.4255, loss: 0.4495 +2022-02-27 23:33:15,234 - mmseg - INFO - Iter [30800/160000] lr: 1.615e-05, eta: 8:59:14, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3198, decode.acc_seg: 71.1779, aux.loss_ce: 0.1353, aux.acc_seg: 70.7761, loss: 0.4551 +2022-02-27 23:33:27,384 - mmseg - INFO - Iter [30850/160000] lr: 1.614e-05, eta: 8:59:00, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2983, decode.acc_seg: 70.8229, aux.loss_ce: 0.1278, aux.acc_seg: 70.2837, loss: 0.4261 +2022-02-27 23:33:39,542 - mmseg - INFO - Iter [30900/160000] lr: 1.614e-05, eta: 8:58:46, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3032, decode.acc_seg: 70.3584, aux.loss_ce: 0.1281, aux.acc_seg: 69.9032, loss: 0.4313 +2022-02-27 23:33:51,754 - mmseg - INFO - Iter [30950/160000] lr: 1.613e-05, eta: 8:58:32, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3201, decode.acc_seg: 70.7259, aux.loss_ce: 0.1354, aux.acc_seg: 70.3629, loss: 0.4554 +2022-02-27 23:34:03,950 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 23:34:03,950 - mmseg - INFO - Iter [31000/160000] lr: 1.613e-05, eta: 8:58:19, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3148, decode.acc_seg: 70.6327, aux.loss_ce: 0.1332, aux.acc_seg: 70.2150, loss: 0.4480 +2022-02-27 23:34:16,303 - mmseg - INFO - Iter [31050/160000] lr: 1.612e-05, eta: 8:58:05, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3245, decode.acc_seg: 72.4140, aux.loss_ce: 0.1379, aux.acc_seg: 71.9582, loss: 0.4624 +2022-02-27 23:34:28,440 - mmseg - INFO - Iter [31100/160000] lr: 1.611e-05, eta: 8:57:51, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3410, decode.acc_seg: 71.5373, aux.loss_ce: 0.1451, aux.acc_seg: 70.8651, loss: 0.4861 +2022-02-27 23:34:40,613 - mmseg - INFO - Iter [31150/160000] lr: 1.611e-05, eta: 8:57:37, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3235, decode.acc_seg: 68.9431, aux.loss_ce: 0.1375, aux.acc_seg: 68.3223, loss: 0.4610 +2022-02-27 23:34:52,914 - mmseg - INFO - Iter [31200/160000] lr: 1.610e-05, eta: 8:57:24, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3119, decode.acc_seg: 70.4176, aux.loss_ce: 0.1314, aux.acc_seg: 69.9888, loss: 0.4433 +2022-02-27 23:35:05,104 - mmseg - INFO - Iter [31250/160000] lr: 1.609e-05, eta: 8:57:10, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3466, decode.acc_seg: 70.3783, aux.loss_ce: 0.1451, aux.acc_seg: 69.8106, loss: 0.4917 +2022-02-27 23:35:17,288 - mmseg - INFO - Iter [31300/160000] lr: 1.609e-05, eta: 8:56:56, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3386, decode.acc_seg: 69.1614, aux.loss_ce: 0.1413, aux.acc_seg: 68.7116, loss: 0.4799 +2022-02-27 23:35:29,418 - mmseg - INFO - Iter [31350/160000] lr: 1.608e-05, eta: 8:56:42, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3059, decode.acc_seg: 70.6958, aux.loss_ce: 0.1298, aux.acc_seg: 70.3058, loss: 0.4357 +2022-02-27 23:35:41,594 - mmseg - INFO - Iter [31400/160000] lr: 1.608e-05, eta: 8:56:28, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3042, decode.acc_seg: 70.9290, aux.loss_ce: 0.1302, aux.acc_seg: 70.4201, loss: 0.4344 +2022-02-27 23:35:53,980 - mmseg - INFO - Iter [31450/160000] lr: 1.607e-05, eta: 8:56:15, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3192, decode.acc_seg: 71.6427, aux.loss_ce: 0.1368, aux.acc_seg: 71.2328, loss: 0.4559 +2022-02-27 23:36:06,106 - mmseg - INFO - Iter [31500/160000] lr: 1.606e-05, eta: 8:56:01, time: 0.242, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3074, decode.acc_seg: 71.8937, aux.loss_ce: 0.1312, aux.acc_seg: 71.4365, loss: 0.4386 +2022-02-27 23:36:18,274 - mmseg - INFO - Iter [31550/160000] lr: 1.606e-05, eta: 8:55:47, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3228, decode.acc_seg: 70.4092, aux.loss_ce: 0.1359, aux.acc_seg: 69.9939, loss: 0.4587 +2022-02-27 23:36:32,774 - mmseg - INFO - Iter [31600/160000] lr: 1.605e-05, eta: 8:55:43, time: 0.290, data_time: 0.049, memory: 56778, decode.loss_ce: 0.2928, decode.acc_seg: 70.6865, aux.loss_ce: 0.1251, aux.acc_seg: 70.2507, loss: 0.4180 +2022-02-27 23:36:45,007 - mmseg - INFO - Iter [31650/160000] lr: 1.604e-05, eta: 8:55:29, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2881, decode.acc_seg: 70.8925, aux.loss_ce: 0.1238, aux.acc_seg: 70.4538, loss: 0.4119 +2022-02-27 23:36:57,222 - mmseg - INFO - Iter [31700/160000] lr: 1.604e-05, eta: 8:55:15, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3034, decode.acc_seg: 71.2804, aux.loss_ce: 0.1310, aux.acc_seg: 70.7197, loss: 0.4343 +2022-02-27 23:37:09,367 - mmseg - INFO - Iter [31750/160000] lr: 1.603e-05, eta: 8:55:01, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3055, decode.acc_seg: 71.5616, aux.loss_ce: 0.1292, aux.acc_seg: 70.9894, loss: 0.4347 +2022-02-27 23:37:21,754 - mmseg - INFO - Iter [31800/160000] lr: 1.603e-05, eta: 8:54:48, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3072, decode.acc_seg: 70.6707, aux.loss_ce: 0.1314, aux.acc_seg: 70.2260, loss: 0.4386 +2022-02-27 23:37:33,893 - mmseg - INFO - Iter [31850/160000] lr: 1.602e-05, eta: 8:54:34, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2925, decode.acc_seg: 70.9171, aux.loss_ce: 0.1259, aux.acc_seg: 70.3850, loss: 0.4184 +2022-02-27 23:37:46,092 - mmseg - INFO - Iter [31900/160000] lr: 1.601e-05, eta: 8:54:20, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3095, decode.acc_seg: 71.3508, aux.loss_ce: 0.1317, aux.acc_seg: 70.9259, loss: 0.4412 +2022-02-27 23:37:58,282 - mmseg - INFO - Iter [31950/160000] lr: 1.601e-05, eta: 8:54:07, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3109, decode.acc_seg: 71.6596, aux.loss_ce: 0.1330, aux.acc_seg: 71.0971, loss: 0.4439 +2022-02-27 23:38:10,502 - mmseg - INFO - Saving checkpoint at 32000 iterations +2022-02-27 23:38:14,300 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 23:38:14,300 - mmseg - INFO - Iter [32000/160000] lr: 1.600e-05, eta: 8:54:08, time: 0.320, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3042, decode.acc_seg: 69.5342, aux.loss_ce: 0.1317, aux.acc_seg: 68.9367, loss: 0.4359 +2022-02-27 23:38:35,072 - mmseg - INFO - per class results: +2022-02-27 23:38:35,079 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 76.75 | 85.93 | +| building | 82.72 | 93.84 | +| sky | 94.19 | 97.76 | +| floor | 80.26 | 91.93 | +| tree | 73.73 | 85.92 | +| ceiling | 81.97 | 93.48 | +| road | 82.68 | 88.74 | +| bed | 88.6 | 96.58 | +| windowpane | 61.0 | 75.7 | +| grass | 62.28 | 74.11 | +| cabinet | 58.47 | 68.84 | +| sidewalk | 64.85 | 79.43 | +| person | 80.3 | 92.3 | +| earth | 34.88 | 51.69 | +| door | 48.33 | 64.62 | +| table | 58.38 | 73.78 | +| mountain | 57.54 | 68.39 | +| plant | 49.23 | 59.45 | +| curtain | 75.02 | 87.48 | +| chair | 56.18 | 69.53 | +| car | 82.41 | 94.09 | +| water | 58.79 | 79.07 | +| painting | 69.42 | 87.28 | +| sofa | 61.71 | 81.48 | +| shelf | 42.09 | 61.73 | +| house | 55.47 | 65.95 | +| sea | 61.42 | 71.23 | +| mirror | 64.33 | 74.35 | +| rug | 56.93 | 63.87 | +| field | 29.18 | 52.99 | +| armchair | 39.99 | 57.16 | +| seat | 60.37 | 84.79 | +| fence | 44.28 | 58.16 | +| desk | 46.18 | 67.67 | +| rock | 46.96 | 71.21 | +| wardrobe | 52.29 | 78.46 | +| lamp | 55.96 | 72.08 | +| bathtub | 78.89 | 84.22 | +| railing | 35.12 | 50.36 | +| cushion | 58.62 | 70.77 | +| base | 24.23 | 27.44 | +| box | 22.32 | 28.8 | +| column | 46.64 | 64.15 | +| signboard | 34.13 | 48.77 | +| chest of drawers | 33.5 | 56.28 | +| counter | 31.17 | 40.66 | +| sand | 51.77 | 70.88 | +| sink | 68.6 | 79.53 | +| skyscraper | 51.33 | 64.98 | +| fireplace | 70.79 | 88.91 | +| refrigerator | 74.63 | 85.2 | +| grandstand | 41.27 | 74.69 | +| path | 25.91 | 38.13 | +| stairs | 27.78 | 39.44 | +| runway | 65.6 | 83.5 | +| case | 39.96 | 40.5 | +| pool table | 92.64 | 97.06 | +| pillow | 52.63 | 59.47 | +| screen door | 73.96 | 81.1 | +| stairway | 30.06 | 38.98 | +| river | 14.67 | 33.56 | +| bridge | 55.86 | 62.08 | +| bookcase | 40.57 | 57.05 | +| blind | 38.87 | 45.72 | +| coffee table | 53.89 | 84.01 | +| toilet | 83.17 | 90.17 | +| flower | 36.25 | 48.01 | +| book | 40.44 | 73.8 | +| hill | 9.6 | 18.13 | +| bench | 38.35 | 45.4 | +| countertop | 55.0 | 66.55 | +| stove | 70.27 | 76.62 | +| palm | 53.1 | 78.03 | +| kitchen island | 40.96 | 65.14 | +| computer | 65.02 | 74.72 | +| swivel chair | 48.55 | 64.83 | +| boat | 35.72 | 56.33 | +| bar | 43.4 | 57.62 | +| arcade machine | 50.98 | 52.82 | +| hovel | 55.85 | 68.92 | +| bus | 86.13 | 91.06 | +| towel | 66.94 | 76.35 | +| light | 45.18 | 48.41 | +| truck | 26.67 | 38.87 | +| tower | 12.4 | 18.21 | +| chandelier | 61.73 | 83.08 | +| awning | 35.3 | 42.21 | +| streetlight | 21.96 | 27.83 | +| booth | 36.39 | 42.02 | +| television receiver | 68.95 | 78.13 | +| airplane | 57.95 | 64.04 | +| dirt track | 0.59 | 5.33 | +| apparel | 29.86 | 35.85 | +| pole | 15.01 | 19.0 | +| land | 3.42 | 4.4 | +| bannister | 10.36 | 14.21 | +| escalator | 43.32 | 60.94 | +| ottoman | 41.17 | 45.54 | +| bottle | 33.87 | 55.68 | +| buffet | 47.18 | 55.3 | +| poster | 29.85 | 36.99 | +| stage | 20.11 | 27.58 | +| van | 44.09 | 53.38 | +| ship | 33.36 | 51.4 | +| fountain | 24.48 | 25.17 | +| conveyer belt | 72.63 | 85.49 | +| canopy | 40.75 | 63.17 | +| washer | 75.6 | 78.7 | +| plaything | 28.46 | 34.16 | +| swimming pool | 51.11 | 80.25 | +| stool | 32.63 | 44.75 | +| barrel | 50.73 | 64.88 | +| basket | 35.97 | 47.0 | +| waterfall | 52.98 | 63.43 | +| tent | 83.6 | 98.18 | +| bag | 14.62 | 18.14 | +| minibike | 67.06 | 84.29 | +| cradle | 79.52 | 95.97 | +| oven | 19.02 | 62.81 | +| ball | 45.29 | 64.57 | +| food | 50.89 | 87.68 | +| step | 2.68 | 3.13 | +| tank | 49.72 | 51.95 | +| trade name | 22.72 | 24.57 | +| microwave | 31.18 | 34.74 | +| pot | 46.82 | 55.22 | +| animal | 58.23 | 61.24 | +| bicycle | 56.39 | 74.06 | +| lake | 11.27 | 12.82 | +| dishwasher | 58.37 | 69.67 | +| screen | 63.58 | 90.56 | +| blanket | 9.23 | 11.35 | +| sculpture | 61.93 | 81.33 | +| hood | 61.94 | 72.99 | +| sconce | 36.41 | 43.7 | +| vase | 35.4 | 48.25 | +| traffic light | 23.76 | 51.52 | +| tray | 2.45 | 3.4 | +| ashcan | 37.74 | 54.1 | +| fan | 54.6 | 63.47 | +| pier | 33.16 | 35.9 | +| crt screen | 4.88 | 10.56 | +| plate | 53.01 | 72.16 | +| monitor | 11.13 | 18.02 | +| bulletin board | 31.88 | 36.12 | +| shower | 0.0 | 0.0 | +| radiator | 54.26 | 58.21 | +| glass | 7.73 | 7.83 | +| clock | 27.12 | 29.8 | +| flag | 58.61 | 65.33 | ++---------------------+-------+-------+ +2022-02-27 23:38:35,079 - mmseg - INFO - Summary: +2022-02-27 23:38:35,079 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 82.33 | 47.07 | 59.14 | ++-------+-------+-------+ +2022-02-27 23:38:35,091 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 23:38:35,091 - mmseg - INFO - Iter(val) [250] aAcc: 0.8233, mIoU: 0.4707, mAcc: 0.5914, IoU.wall: 0.7675, IoU.building: 0.8272, IoU.sky: 0.9419, IoU.floor: 0.8026, IoU.tree: 0.7373, IoU.ceiling: 0.8197, IoU.road: 0.8268, IoU.bed : 0.8860, IoU.windowpane: 0.6100, IoU.grass: 0.6228, IoU.cabinet: 0.5847, IoU.sidewalk: 0.6485, IoU.person: 0.8030, IoU.earth: 0.3488, IoU.door: 0.4833, IoU.table: 0.5838, IoU.mountain: 0.5754, IoU.plant: 0.4923, IoU.curtain: 0.7502, IoU.chair: 0.5618, IoU.car: 0.8241, IoU.water: 0.5879, IoU.painting: 0.6942, IoU.sofa: 0.6171, IoU.shelf: 0.4209, IoU.house: 0.5547, IoU.sea: 0.6142, IoU.mirror: 0.6433, IoU.rug: 0.5693, IoU.field: 0.2918, IoU.armchair: 0.3999, IoU.seat: 0.6037, IoU.fence: 0.4428, IoU.desk: 0.4618, IoU.rock: 0.4696, IoU.wardrobe: 0.5229, IoU.lamp: 0.5596, IoU.bathtub: 0.7889, IoU.railing: 0.3512, IoU.cushion: 0.5862, IoU.base: 0.2423, IoU.box: 0.2232, IoU.column: 0.4664, IoU.signboard: 0.3413, IoU.chest of drawers: 0.3350, IoU.counter: 0.3117, IoU.sand: 0.5177, IoU.sink: 0.6860, IoU.skyscraper: 0.5133, IoU.fireplace: 0.7079, IoU.refrigerator: 0.7463, IoU.grandstand: 0.4127, IoU.path: 0.2591, IoU.stairs: 0.2778, IoU.runway: 0.6560, IoU.case: 0.3996, IoU.pool table: 0.9264, IoU.pillow: 0.5263, IoU.screen door: 0.7396, IoU.stairway: 0.3006, IoU.river: 0.1467, IoU.bridge: 0.5586, IoU.bookcase: 0.4057, IoU.blind: 0.3887, IoU.coffee table: 0.5389, IoU.toilet: 0.8317, IoU.flower: 0.3625, IoU.book: 0.4044, IoU.hill: 0.0960, IoU.bench: 0.3835, IoU.countertop: 0.5500, IoU.stove: 0.7027, IoU.palm: 0.5310, IoU.kitchen island: 0.4096, IoU.computer: 0.6502, IoU.swivel chair: 0.4855, IoU.boat: 0.3572, IoU.bar: 0.4340, IoU.arcade machine: 0.5098, IoU.hovel: 0.5585, IoU.bus: 0.8613, IoU.towel: 0.6694, IoU.light: 0.4518, IoU.truck: 0.2667, IoU.tower: 0.1240, IoU.chandelier: 0.6173, IoU.awning: 0.3530, IoU.streetlight: 0.2196, IoU.booth: 0.3639, IoU.television receiver: 0.6895, IoU.airplane: 0.5795, IoU.dirt track: 0.0059, IoU.apparel: 0.2986, IoU.pole: 0.1501, IoU.land: 0.0342, IoU.bannister: 0.1036, IoU.escalator: 0.4332, IoU.ottoman: 0.4117, IoU.bottle: 0.3387, IoU.buffet: 0.4718, IoU.poster: 0.2985, IoU.stage: 0.2011, IoU.van: 0.4409, IoU.ship: 0.3336, IoU.fountain: 0.2448, IoU.conveyer belt: 0.7263, IoU.canopy: 0.4075, IoU.washer: 0.7560, IoU.plaything: 0.2846, IoU.swimming pool: 0.5111, IoU.stool: 0.3263, IoU.barrel: 0.5073, IoU.basket: 0.3597, IoU.waterfall: 0.5298, IoU.tent: 0.8360, IoU.bag: 0.1462, IoU.minibike: 0.6706, IoU.cradle: 0.7952, IoU.oven: 0.1902, IoU.ball: 0.4529, IoU.food: 0.5089, IoU.step: 0.0268, IoU.tank: 0.4972, IoU.trade name: 0.2272, IoU.microwave: 0.3118, IoU.pot: 0.4682, IoU.animal: 0.5823, IoU.bicycle: 0.5639, IoU.lake: 0.1127, IoU.dishwasher: 0.5837, IoU.screen: 0.6358, IoU.blanket: 0.0923, IoU.sculpture: 0.6193, IoU.hood: 0.6194, IoU.sconce: 0.3641, IoU.vase: 0.3540, IoU.traffic light: 0.2376, IoU.tray: 0.0245, IoU.ashcan: 0.3774, IoU.fan: 0.5460, IoU.pier: 0.3316, IoU.crt screen: 0.0488, IoU.plate: 0.5301, IoU.monitor: 0.1113, IoU.bulletin board: 0.3188, IoU.shower: 0.0000, IoU.radiator: 0.5426, IoU.glass: 0.0773, IoU.clock: 0.2712, IoU.flag: 0.5861, Acc.wall: 0.8593, Acc.building: 0.9384, Acc.sky: 0.9776, Acc.floor: 0.9193, Acc.tree: 0.8592, Acc.ceiling: 0.9348, Acc.road: 0.8874, Acc.bed : 0.9658, Acc.windowpane: 0.7570, Acc.grass: 0.7411, Acc.cabinet: 0.6884, Acc.sidewalk: 0.7943, Acc.person: 0.9230, Acc.earth: 0.5169, Acc.door: 0.6462, Acc.table: 0.7378, Acc.mountain: 0.6839, Acc.plant: 0.5945, Acc.curtain: 0.8748, Acc.chair: 0.6953, Acc.car: 0.9409, Acc.water: 0.7907, Acc.painting: 0.8728, Acc.sofa: 0.8148, Acc.shelf: 0.6173, Acc.house: 0.6595, Acc.sea: 0.7123, Acc.mirror: 0.7435, Acc.rug: 0.6387, Acc.field: 0.5299, Acc.armchair: 0.5716, Acc.seat: 0.8479, Acc.fence: 0.5816, Acc.desk: 0.6767, Acc.rock: 0.7121, Acc.wardrobe: 0.7846, Acc.lamp: 0.7208, Acc.bathtub: 0.8422, Acc.railing: 0.5036, Acc.cushion: 0.7077, Acc.base: 0.2744, Acc.box: 0.2880, Acc.column: 0.6415, Acc.signboard: 0.4877, Acc.chest of drawers: 0.5628, Acc.counter: 0.4066, Acc.sand: 0.7088, Acc.sink: 0.7953, Acc.skyscraper: 0.6498, Acc.fireplace: 0.8891, Acc.refrigerator: 0.8520, Acc.grandstand: 0.7469, Acc.path: 0.3813, Acc.stairs: 0.3944, Acc.runway: 0.8350, Acc.case: 0.4050, Acc.pool table: 0.9706, Acc.pillow: 0.5947, Acc.screen door: 0.8110, Acc.stairway: 0.3898, Acc.river: 0.3356, Acc.bridge: 0.6208, Acc.bookcase: 0.5705, Acc.blind: 0.4572, Acc.coffee table: 0.8401, Acc.toilet: 0.9017, Acc.flower: 0.4801, Acc.book: 0.7380, Acc.hill: 0.1813, Acc.bench: 0.4540, Acc.countertop: 0.6655, Acc.stove: 0.7662, Acc.palm: 0.7803, Acc.kitchen island: 0.6514, Acc.computer: 0.7472, Acc.swivel chair: 0.6483, Acc.boat: 0.5633, Acc.bar: 0.5762, Acc.arcade machine: 0.5282, Acc.hovel: 0.6892, Acc.bus: 0.9106, Acc.towel: 0.7635, Acc.light: 0.4841, Acc.truck: 0.3887, Acc.tower: 0.1821, Acc.chandelier: 0.8308, Acc.awning: 0.4221, Acc.streetlight: 0.2783, Acc.booth: 0.4202, Acc.television receiver: 0.7813, Acc.airplane: 0.6404, Acc.dirt track: 0.0533, Acc.apparel: 0.3585, Acc.pole: 0.1900, Acc.land: 0.0440, Acc.bannister: 0.1421, Acc.escalator: 0.6094, Acc.ottoman: 0.4554, Acc.bottle: 0.5568, Acc.buffet: 0.5530, Acc.poster: 0.3699, Acc.stage: 0.2758, Acc.van: 0.5338, Acc.ship: 0.5140, Acc.fountain: 0.2517, Acc.conveyer belt: 0.8549, Acc.canopy: 0.6317, Acc.washer: 0.7870, Acc.plaything: 0.3416, Acc.swimming pool: 0.8025, Acc.stool: 0.4475, Acc.barrel: 0.6488, Acc.basket: 0.4700, Acc.waterfall: 0.6343, Acc.tent: 0.9818, Acc.bag: 0.1814, Acc.minibike: 0.8429, Acc.cradle: 0.9597, Acc.oven: 0.6281, Acc.ball: 0.6457, Acc.food: 0.8768, Acc.step: 0.0313, Acc.tank: 0.5195, Acc.trade name: 0.2457, Acc.microwave: 0.3474, Acc.pot: 0.5522, Acc.animal: 0.6124, Acc.bicycle: 0.7406, Acc.lake: 0.1282, Acc.dishwasher: 0.6967, Acc.screen: 0.9056, Acc.blanket: 0.1135, Acc.sculpture: 0.8133, Acc.hood: 0.7299, Acc.sconce: 0.4370, Acc.vase: 0.4825, Acc.traffic light: 0.5152, Acc.tray: 0.0340, Acc.ashcan: 0.5410, Acc.fan: 0.6347, Acc.pier: 0.3590, Acc.crt screen: 0.1056, Acc.plate: 0.7216, Acc.monitor: 0.1802, Acc.bulletin board: 0.3612, Acc.shower: 0.0000, Acc.radiator: 0.5821, Acc.glass: 0.0783, Acc.clock: 0.2980, Acc.flag: 0.6533 +2022-02-27 23:38:47,274 - mmseg - INFO - Iter [32050/160000] lr: 1.599e-05, eta: 8:55:17, time: 0.659, data_time: 0.420, memory: 56778, decode.loss_ce: 0.3051, decode.acc_seg: 69.1650, aux.loss_ce: 0.1291, aux.acc_seg: 68.8990, loss: 0.4342 +2022-02-27 23:38:59,951 - mmseg - INFO - Iter [32100/160000] lr: 1.599e-05, eta: 8:55:05, time: 0.254, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2939, decode.acc_seg: 71.5119, aux.loss_ce: 0.1264, aux.acc_seg: 70.8992, loss: 0.4202 +2022-02-27 23:39:12,440 - mmseg - INFO - Iter [32150/160000] lr: 1.598e-05, eta: 8:54:52, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3034, decode.acc_seg: 70.1494, aux.loss_ce: 0.1287, aux.acc_seg: 69.8225, loss: 0.4321 +2022-02-27 23:39:24,842 - mmseg - INFO - Iter [32200/160000] lr: 1.598e-05, eta: 8:54:39, time: 0.248, data_time: 0.005, memory: 56778, decode.loss_ce: 0.3185, decode.acc_seg: 69.0554, aux.loss_ce: 0.1387, aux.acc_seg: 68.3985, loss: 0.4572 +2022-02-27 23:39:36,995 - mmseg - INFO - Iter [32250/160000] lr: 1.597e-05, eta: 8:54:25, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2941, decode.acc_seg: 70.6075, aux.loss_ce: 0.1257, aux.acc_seg: 70.1763, loss: 0.4197 +2022-02-27 23:39:49,161 - mmseg - INFO - Iter [32300/160000] lr: 1.596e-05, eta: 8:54:11, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2929, decode.acc_seg: 72.9150, aux.loss_ce: 0.1260, aux.acc_seg: 72.4800, loss: 0.4190 +2022-02-27 23:40:01,477 - mmseg - INFO - Iter [32350/160000] lr: 1.596e-05, eta: 8:53:58, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3224, decode.acc_seg: 69.6657, aux.loss_ce: 0.1342, aux.acc_seg: 69.4435, loss: 0.4566 +2022-02-27 23:40:13,903 - mmseg - INFO - Iter [32400/160000] lr: 1.595e-05, eta: 8:53:44, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3056, decode.acc_seg: 70.3360, aux.loss_ce: 0.1292, aux.acc_seg: 70.0581, loss: 0.4348 +2022-02-27 23:40:26,244 - mmseg - INFO - Iter [32450/160000] lr: 1.594e-05, eta: 8:53:31, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3053, decode.acc_seg: 71.2488, aux.loss_ce: 0.1291, aux.acc_seg: 70.7652, loss: 0.4343 +2022-02-27 23:40:38,409 - mmseg - INFO - Iter [32500/160000] lr: 1.594e-05, eta: 8:53:17, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3171, decode.acc_seg: 70.9843, aux.loss_ce: 0.1360, aux.acc_seg: 70.5136, loss: 0.4531 +2022-02-27 23:40:50,699 - mmseg - INFO - Iter [32550/160000] lr: 1.593e-05, eta: 8:53:03, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3049, decode.acc_seg: 70.9449, aux.loss_ce: 0.1283, aux.acc_seg: 70.5799, loss: 0.4332 +2022-02-27 23:41:03,070 - mmseg - INFO - Iter [32600/160000] lr: 1.593e-05, eta: 8:52:50, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3015, decode.acc_seg: 71.4838, aux.loss_ce: 0.1280, aux.acc_seg: 71.1363, loss: 0.4295 +2022-02-27 23:41:15,298 - mmseg - INFO - Iter [32650/160000] lr: 1.592e-05, eta: 8:52:36, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3261, decode.acc_seg: 70.3722, aux.loss_ce: 0.1380, aux.acc_seg: 70.1095, loss: 0.4642 +2022-02-27 23:41:27,476 - mmseg - INFO - Iter [32700/160000] lr: 1.591e-05, eta: 8:52:22, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3400, decode.acc_seg: 70.6444, aux.loss_ce: 0.1433, aux.acc_seg: 70.2449, loss: 0.4833 +2022-02-27 23:41:39,653 - mmseg - INFO - Iter [32750/160000] lr: 1.591e-05, eta: 8:52:08, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3197, decode.acc_seg: 70.4129, aux.loss_ce: 0.1343, aux.acc_seg: 70.0720, loss: 0.4540 +2022-02-27 23:41:51,894 - mmseg - INFO - Iter [32800/160000] lr: 1.590e-05, eta: 8:51:55, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3035, decode.acc_seg: 69.3335, aux.loss_ce: 0.1278, aux.acc_seg: 69.1375, loss: 0.4313 +2022-02-27 23:42:06,437 - mmseg - INFO - Iter [32850/160000] lr: 1.589e-05, eta: 8:51:50, time: 0.291, data_time: 0.049, memory: 56778, decode.loss_ce: 0.3207, decode.acc_seg: 70.8158, aux.loss_ce: 0.1353, aux.acc_seg: 70.4735, loss: 0.4559 +2022-02-27 23:42:18,973 - mmseg - INFO - Iter [32900/160000] lr: 1.589e-05, eta: 8:51:37, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3125, decode.acc_seg: 70.8196, aux.loss_ce: 0.1341, aux.acc_seg: 70.3478, loss: 0.4467 +2022-02-27 23:42:31,226 - mmseg - INFO - Iter [32950/160000] lr: 1.588e-05, eta: 8:51:24, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3089, decode.acc_seg: 70.8967, aux.loss_ce: 0.1304, aux.acc_seg: 70.4399, loss: 0.4393 +2022-02-27 23:42:43,512 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 23:42:43,512 - mmseg - INFO - Iter [33000/160000] lr: 1.588e-05, eta: 8:51:10, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3051, decode.acc_seg: 72.2538, aux.loss_ce: 0.1296, aux.acc_seg: 71.8192, loss: 0.4347 +2022-02-27 23:42:56,124 - mmseg - INFO - Iter [33050/160000] lr: 1.587e-05, eta: 8:50:58, time: 0.253, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2939, decode.acc_seg: 70.8654, aux.loss_ce: 0.1253, aux.acc_seg: 70.4398, loss: 0.4193 +2022-02-27 23:43:08,462 - mmseg - INFO - Iter [33100/160000] lr: 1.586e-05, eta: 8:50:44, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3135, decode.acc_seg: 70.0756, aux.loss_ce: 0.1322, aux.acc_seg: 69.6279, loss: 0.4457 +2022-02-27 23:43:20,664 - mmseg - INFO - Iter [33150/160000] lr: 1.586e-05, eta: 8:50:31, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3244, decode.acc_seg: 70.1214, aux.loss_ce: 0.1377, aux.acc_seg: 69.5989, loss: 0.4621 +2022-02-27 23:43:32,845 - mmseg - INFO - Iter [33200/160000] lr: 1.585e-05, eta: 8:50:17, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2865, decode.acc_seg: 69.9307, aux.loss_ce: 0.1225, aux.acc_seg: 69.5357, loss: 0.4090 +2022-02-27 23:43:45,352 - mmseg - INFO - Iter [33250/160000] lr: 1.584e-05, eta: 8:50:04, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2978, decode.acc_seg: 71.5787, aux.loss_ce: 0.1279, aux.acc_seg: 70.9647, loss: 0.4257 +2022-02-27 23:43:57,730 - mmseg - INFO - Iter [33300/160000] lr: 1.584e-05, eta: 8:49:51, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2944, decode.acc_seg: 71.5388, aux.loss_ce: 0.1242, aux.acc_seg: 71.0629, loss: 0.4186 +2022-02-27 23:44:10,287 - mmseg - INFO - Iter [33350/160000] lr: 1.583e-05, eta: 8:49:38, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2863, decode.acc_seg: 71.7752, aux.loss_ce: 0.1208, aux.acc_seg: 71.2493, loss: 0.4072 +2022-02-27 23:44:22,528 - mmseg - INFO - Iter [33400/160000] lr: 1.583e-05, eta: 8:49:25, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3151, decode.acc_seg: 71.5906, aux.loss_ce: 0.1330, aux.acc_seg: 71.1097, loss: 0.4481 +2022-02-27 23:44:34,766 - mmseg - INFO - Iter [33450/160000] lr: 1.582e-05, eta: 8:49:11, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2925, decode.acc_seg: 72.8227, aux.loss_ce: 0.1240, aux.acc_seg: 72.3702, loss: 0.4165 +2022-02-27 23:44:46,918 - mmseg - INFO - Iter [33500/160000] lr: 1.581e-05, eta: 8:48:57, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2870, decode.acc_seg: 70.0119, aux.loss_ce: 0.1250, aux.acc_seg: 69.4107, loss: 0.4120 +2022-02-27 23:44:59,213 - mmseg - INFO - Iter [33550/160000] lr: 1.581e-05, eta: 8:48:43, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3051, decode.acc_seg: 71.8136, aux.loss_ce: 0.1304, aux.acc_seg: 71.3034, loss: 0.4356 +2022-02-27 23:45:11,623 - mmseg - INFO - Iter [33600/160000] lr: 1.580e-05, eta: 8:48:30, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2905, decode.acc_seg: 70.3577, aux.loss_ce: 0.1245, aux.acc_seg: 69.8458, loss: 0.4150 +2022-02-27 23:45:23,881 - mmseg - INFO - Iter [33650/160000] lr: 1.579e-05, eta: 8:48:17, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3297, decode.acc_seg: 72.4485, aux.loss_ce: 0.1375, aux.acc_seg: 72.1770, loss: 0.4673 +2022-02-27 23:45:36,078 - mmseg - INFO - Iter [33700/160000] lr: 1.579e-05, eta: 8:48:03, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3031, decode.acc_seg: 71.0416, aux.loss_ce: 0.1306, aux.acc_seg: 70.5406, loss: 0.4337 +2022-02-27 23:45:48,240 - mmseg - INFO - Iter [33750/160000] lr: 1.578e-05, eta: 8:47:49, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3076, decode.acc_seg: 71.5214, aux.loss_ce: 0.1291, aux.acc_seg: 71.2412, loss: 0.4368 +2022-02-27 23:46:00,596 - mmseg - INFO - Iter [33800/160000] lr: 1.578e-05, eta: 8:47:36, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2877, decode.acc_seg: 71.2685, aux.loss_ce: 0.1228, aux.acc_seg: 70.8221, loss: 0.4106 +2022-02-27 23:46:12,699 - mmseg - INFO - Iter [33850/160000] lr: 1.577e-05, eta: 8:47:21, time: 0.242, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3166, decode.acc_seg: 70.8549, aux.loss_ce: 0.1354, aux.acc_seg: 70.3731, loss: 0.4520 +2022-02-27 23:46:24,989 - mmseg - INFO - Iter [33900/160000] lr: 1.576e-05, eta: 8:47:08, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3027, decode.acc_seg: 69.2608, aux.loss_ce: 0.1276, aux.acc_seg: 68.9328, loss: 0.4302 +2022-02-27 23:46:37,226 - mmseg - INFO - Iter [33950/160000] lr: 1.576e-05, eta: 8:46:54, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3096, decode.acc_seg: 71.2484, aux.loss_ce: 0.1304, aux.acc_seg: 70.8508, loss: 0.4400 +2022-02-27 23:46:49,451 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 23:46:49,451 - mmseg - INFO - Iter [34000/160000] lr: 1.575e-05, eta: 8:46:41, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3265, decode.acc_seg: 69.5062, aux.loss_ce: 0.1392, aux.acc_seg: 68.9580, loss: 0.4656 +2022-02-27 23:47:01,703 - mmseg - INFO - Iter [34050/160000] lr: 1.574e-05, eta: 8:46:27, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3295, decode.acc_seg: 69.3067, aux.loss_ce: 0.1408, aux.acc_seg: 68.7700, loss: 0.4703 +2022-02-27 23:47:14,153 - mmseg - INFO - Iter [34100/160000] lr: 1.574e-05, eta: 8:46:14, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3060, decode.acc_seg: 71.0478, aux.loss_ce: 0.1278, aux.acc_seg: 70.8510, loss: 0.4339 +2022-02-27 23:47:28,807 - mmseg - INFO - Iter [34150/160000] lr: 1.573e-05, eta: 8:46:09, time: 0.293, data_time: 0.050, memory: 56778, decode.loss_ce: 0.2934, decode.acc_seg: 71.2206, aux.loss_ce: 0.1249, aux.acc_seg: 70.8188, loss: 0.4182 +2022-02-27 23:47:41,073 - mmseg - INFO - Iter [34200/160000] lr: 1.573e-05, eta: 8:45:56, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2868, decode.acc_seg: 70.4524, aux.loss_ce: 0.1240, aux.acc_seg: 69.8254, loss: 0.4108 +2022-02-27 23:47:53,462 - mmseg - INFO - Iter [34250/160000] lr: 1.572e-05, eta: 8:45:43, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2795, decode.acc_seg: 70.6739, aux.loss_ce: 0.1198, aux.acc_seg: 70.2341, loss: 0.3993 +2022-02-27 23:48:05,787 - mmseg - INFO - Iter [34300/160000] lr: 1.571e-05, eta: 8:45:29, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2955, decode.acc_seg: 72.3064, aux.loss_ce: 0.1273, aux.acc_seg: 71.7996, loss: 0.4228 +2022-02-27 23:48:18,017 - mmseg - INFO - Iter [34350/160000] lr: 1.571e-05, eta: 8:45:16, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2792, decode.acc_seg: 71.7662, aux.loss_ce: 0.1190, aux.acc_seg: 71.3468, loss: 0.3982 +2022-02-27 23:48:30,221 - mmseg - INFO - Iter [34400/160000] lr: 1.570e-05, eta: 8:45:02, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2958, decode.acc_seg: 71.1891, aux.loss_ce: 0.1262, aux.acc_seg: 70.6115, loss: 0.4220 +2022-02-27 23:48:42,587 - mmseg - INFO - Iter [34450/160000] lr: 1.569e-05, eta: 8:44:49, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2958, decode.acc_seg: 70.0630, aux.loss_ce: 0.1256, aux.acc_seg: 69.5697, loss: 0.4214 +2022-02-27 23:48:54,944 - mmseg - INFO - Iter [34500/160000] lr: 1.569e-05, eta: 8:44:35, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3114, decode.acc_seg: 70.3828, aux.loss_ce: 0.1310, aux.acc_seg: 70.0536, loss: 0.4424 +2022-02-27 23:49:07,277 - mmseg - INFO - Iter [34550/160000] lr: 1.568e-05, eta: 8:44:22, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2884, decode.acc_seg: 70.9335, aux.loss_ce: 0.1235, aux.acc_seg: 70.4071, loss: 0.4119 +2022-02-27 23:49:19,549 - mmseg - INFO - Iter [34600/160000] lr: 1.568e-05, eta: 8:44:09, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2875, decode.acc_seg: 70.1353, aux.loss_ce: 0.1234, aux.acc_seg: 69.6136, loss: 0.4110 +2022-02-27 23:49:31,799 - mmseg - INFO - Iter [34650/160000] lr: 1.567e-05, eta: 8:43:55, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2861, decode.acc_seg: 71.2357, aux.loss_ce: 0.1230, aux.acc_seg: 70.7327, loss: 0.4091 +2022-02-27 23:49:43,953 - mmseg - INFO - Iter [34700/160000] lr: 1.566e-05, eta: 8:43:41, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3091, decode.acc_seg: 72.2996, aux.loss_ce: 0.1313, aux.acc_seg: 71.7913, loss: 0.4404 +2022-02-27 23:49:56,221 - mmseg - INFO - Iter [34750/160000] lr: 1.566e-05, eta: 8:43:28, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2909, decode.acc_seg: 71.1228, aux.loss_ce: 0.1239, aux.acc_seg: 70.8128, loss: 0.4149 +2022-02-27 23:50:08,540 - mmseg - INFO - Iter [34800/160000] lr: 1.565e-05, eta: 8:43:14, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3023, decode.acc_seg: 70.3828, aux.loss_ce: 0.1287, aux.acc_seg: 70.0195, loss: 0.4311 +2022-02-27 23:50:20,853 - mmseg - INFO - Iter [34850/160000] lr: 1.564e-05, eta: 8:43:01, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2690, decode.acc_seg: 71.9719, aux.loss_ce: 0.1154, aux.acc_seg: 71.4874, loss: 0.3844 +2022-02-27 23:50:33,155 - mmseg - INFO - Iter [34900/160000] lr: 1.564e-05, eta: 8:42:48, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3038, decode.acc_seg: 70.8761, aux.loss_ce: 0.1301, aux.acc_seg: 70.3593, loss: 0.4339 +2022-02-27 23:50:45,430 - mmseg - INFO - Iter [34950/160000] lr: 1.563e-05, eta: 8:42:34, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3060, decode.acc_seg: 71.0876, aux.loss_ce: 0.1307, aux.acc_seg: 70.6352, loss: 0.4367 +2022-02-27 23:50:57,611 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 23:50:57,612 - mmseg - INFO - Iter [35000/160000] lr: 1.563e-05, eta: 8:42:20, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3127, decode.acc_seg: 69.8573, aux.loss_ce: 0.1308, aux.acc_seg: 69.6798, loss: 0.4435 +2022-02-27 23:51:09,903 - mmseg - INFO - Iter [35050/160000] lr: 1.562e-05, eta: 8:42:07, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3028, decode.acc_seg: 71.6794, aux.loss_ce: 0.1299, aux.acc_seg: 71.3294, loss: 0.4327 +2022-02-27 23:51:22,092 - mmseg - INFO - Iter [35100/160000] lr: 1.561e-05, eta: 8:41:53, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2941, decode.acc_seg: 72.2605, aux.loss_ce: 0.1244, aux.acc_seg: 72.0097, loss: 0.4185 +2022-02-27 23:51:34,326 - mmseg - INFO - Iter [35150/160000] lr: 1.561e-05, eta: 8:41:40, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3086, decode.acc_seg: 71.6017, aux.loss_ce: 0.1315, aux.acc_seg: 71.2359, loss: 0.4401 +2022-02-27 23:51:46,642 - mmseg - INFO - Iter [35200/160000] lr: 1.560e-05, eta: 8:41:26, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3288, decode.acc_seg: 69.8775, aux.loss_ce: 0.1403, aux.acc_seg: 69.4285, loss: 0.4691 +2022-02-27 23:51:58,944 - mmseg - INFO - Iter [35250/160000] lr: 1.559e-05, eta: 8:41:13, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3294, decode.acc_seg: 70.0503, aux.loss_ce: 0.1374, aux.acc_seg: 69.6109, loss: 0.4669 +2022-02-27 23:52:11,185 - mmseg - INFO - Iter [35300/160000] lr: 1.559e-05, eta: 8:40:59, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3099, decode.acc_seg: 70.8916, aux.loss_ce: 0.1314, aux.acc_seg: 70.4467, loss: 0.4413 +2022-02-27 23:52:23,423 - mmseg - INFO - Iter [35350/160000] lr: 1.558e-05, eta: 8:40:46, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2893, decode.acc_seg: 71.4357, aux.loss_ce: 0.1231, aux.acc_seg: 71.0338, loss: 0.4124 +2022-02-27 23:52:38,052 - mmseg - INFO - Iter [35400/160000] lr: 1.558e-05, eta: 8:40:41, time: 0.293, data_time: 0.049, memory: 56778, decode.loss_ce: 0.2891, decode.acc_seg: 69.6283, aux.loss_ce: 0.1243, aux.acc_seg: 69.0183, loss: 0.4135 +2022-02-27 23:52:50,223 - mmseg - INFO - Iter [35450/160000] lr: 1.557e-05, eta: 8:40:27, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3199, decode.acc_seg: 70.2127, aux.loss_ce: 0.1345, aux.acc_seg: 69.8880, loss: 0.4544 +2022-02-27 23:53:02,521 - mmseg - INFO - Iter [35500/160000] lr: 1.556e-05, eta: 8:40:13, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2962, decode.acc_seg: 72.3050, aux.loss_ce: 0.1262, aux.acc_seg: 72.0587, loss: 0.4224 +2022-02-27 23:53:14,934 - mmseg - INFO - Iter [35550/160000] lr: 1.556e-05, eta: 8:40:00, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2687, decode.acc_seg: 73.4175, aux.loss_ce: 0.1142, aux.acc_seg: 73.0416, loss: 0.3828 +2022-02-27 23:53:27,145 - mmseg - INFO - Iter [35600/160000] lr: 1.555e-05, eta: 8:39:47, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2954, decode.acc_seg: 71.3750, aux.loss_ce: 0.1284, aux.acc_seg: 70.7217, loss: 0.4238 +2022-02-27 23:53:39,338 - mmseg - INFO - Iter [35650/160000] lr: 1.554e-05, eta: 8:39:33, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2693, decode.acc_seg: 73.4746, aux.loss_ce: 0.1146, aux.acc_seg: 73.1054, loss: 0.3839 +2022-02-27 23:53:51,548 - mmseg - INFO - Iter [35700/160000] lr: 1.554e-05, eta: 8:39:19, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2716, decode.acc_seg: 72.5130, aux.loss_ce: 0.1167, aux.acc_seg: 72.0020, loss: 0.3883 +2022-02-27 23:54:03,727 - mmseg - INFO - Iter [35750/160000] lr: 1.553e-05, eta: 8:39:06, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3050, decode.acc_seg: 70.1988, aux.loss_ce: 0.1289, aux.acc_seg: 69.7152, loss: 0.4339 +2022-02-27 23:54:15,882 - mmseg - INFO - Iter [35800/160000] lr: 1.553e-05, eta: 8:38:52, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2836, decode.acc_seg: 72.0275, aux.loss_ce: 0.1220, aux.acc_seg: 71.4238, loss: 0.4056 +2022-02-27 23:54:28,104 - mmseg - INFO - Iter [35850/160000] lr: 1.552e-05, eta: 8:38:38, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2799, decode.acc_seg: 71.2911, aux.loss_ce: 0.1202, aux.acc_seg: 70.7276, loss: 0.4001 +2022-02-27 23:54:40,283 - mmseg - INFO - Iter [35900/160000] lr: 1.551e-05, eta: 8:38:24, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2806, decode.acc_seg: 71.6471, aux.loss_ce: 0.1207, aux.acc_seg: 71.0706, loss: 0.4012 +2022-02-27 23:54:52,621 - mmseg - INFO - Iter [35950/160000] lr: 1.551e-05, eta: 8:38:11, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2789, decode.acc_seg: 71.7294, aux.loss_ce: 0.1200, aux.acc_seg: 71.2588, loss: 0.3989 +2022-02-27 23:55:05,020 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 23:55:05,021 - mmseg - INFO - Iter [36000/160000] lr: 1.550e-05, eta: 8:37:58, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3092, decode.acc_seg: 70.4949, aux.loss_ce: 0.1319, aux.acc_seg: 70.0205, loss: 0.4412 +2022-02-27 23:55:17,232 - mmseg - INFO - Iter [36050/160000] lr: 1.549e-05, eta: 8:37:44, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2979, decode.acc_seg: 70.8104, aux.loss_ce: 0.1280, aux.acc_seg: 70.2637, loss: 0.4260 +2022-02-27 23:55:29,479 - mmseg - INFO - Iter [36100/160000] lr: 1.549e-05, eta: 8:37:31, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2959, decode.acc_seg: 71.0585, aux.loss_ce: 0.1258, aux.acc_seg: 70.5018, loss: 0.4218 +2022-02-27 23:55:41,636 - mmseg - INFO - Iter [36150/160000] lr: 1.548e-05, eta: 8:37:17, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2930, decode.acc_seg: 70.2345, aux.loss_ce: 0.1255, aux.acc_seg: 69.6121, loss: 0.4186 +2022-02-27 23:55:54,091 - mmseg - INFO - Iter [36200/160000] lr: 1.548e-05, eta: 8:37:04, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3042, decode.acc_seg: 70.6956, aux.loss_ce: 0.1295, aux.acc_seg: 70.2591, loss: 0.4337 +2022-02-27 23:56:06,400 - mmseg - INFO - Iter [36250/160000] lr: 1.547e-05, eta: 8:36:51, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2900, decode.acc_seg: 72.1903, aux.loss_ce: 0.1226, aux.acc_seg: 71.7677, loss: 0.4126 +2022-02-27 23:56:18,864 - mmseg - INFO - Iter [36300/160000] lr: 1.546e-05, eta: 8:36:38, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2901, decode.acc_seg: 70.3408, aux.loss_ce: 0.1235, aux.acc_seg: 70.0189, loss: 0.4136 +2022-02-27 23:56:31,111 - mmseg - INFO - Iter [36350/160000] lr: 1.546e-05, eta: 8:36:25, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2778, decode.acc_seg: 72.4323, aux.loss_ce: 0.1198, aux.acc_seg: 71.9943, loss: 0.3975 +2022-02-27 23:56:43,535 - mmseg - INFO - Iter [36400/160000] lr: 1.545e-05, eta: 8:36:12, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2810, decode.acc_seg: 72.1342, aux.loss_ce: 0.1203, aux.acc_seg: 71.5259, loss: 0.4013 +2022-02-27 23:56:55,731 - mmseg - INFO - Iter [36450/160000] lr: 1.544e-05, eta: 8:35:58, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3048, decode.acc_seg: 71.8442, aux.loss_ce: 0.1288, aux.acc_seg: 71.5664, loss: 0.4336 +2022-02-27 23:57:08,257 - mmseg - INFO - Iter [36500/160000] lr: 1.544e-05, eta: 8:35:46, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3212, decode.acc_seg: 70.1934, aux.loss_ce: 0.1360, aux.acc_seg: 69.7577, loss: 0.4573 +2022-02-27 23:57:20,465 - mmseg - INFO - Iter [36550/160000] lr: 1.543e-05, eta: 8:35:32, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2931, decode.acc_seg: 71.7349, aux.loss_ce: 0.1265, aux.acc_seg: 71.0608, loss: 0.4196 +2022-02-27 23:57:32,718 - mmseg - INFO - Iter [36600/160000] lr: 1.543e-05, eta: 8:35:19, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2986, decode.acc_seg: 71.7612, aux.loss_ce: 0.1266, aux.acc_seg: 71.2249, loss: 0.4252 +2022-02-27 23:57:47,319 - mmseg - INFO - Iter [36650/160000] lr: 1.542e-05, eta: 8:35:13, time: 0.292, data_time: 0.049, memory: 56778, decode.loss_ce: 0.2933, decode.acc_seg: 72.2091, aux.loss_ce: 0.1253, aux.acc_seg: 71.7224, loss: 0.4186 +2022-02-27 23:57:59,608 - mmseg - INFO - Iter [36700/160000] lr: 1.541e-05, eta: 8:35:00, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3040, decode.acc_seg: 71.1203, aux.loss_ce: 0.1292, aux.acc_seg: 70.6748, loss: 0.4332 +2022-02-27 23:58:12,074 - mmseg - INFO - Iter [36750/160000] lr: 1.541e-05, eta: 8:34:47, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2689, decode.acc_seg: 72.7353, aux.loss_ce: 0.1157, aux.acc_seg: 72.2550, loss: 0.3847 +2022-02-27 23:58:24,292 - mmseg - INFO - Iter [36800/160000] lr: 1.540e-05, eta: 8:34:33, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2779, decode.acc_seg: 73.4407, aux.loss_ce: 0.1204, aux.acc_seg: 72.9483, loss: 0.3984 +2022-02-27 23:58:36,555 - mmseg - INFO - Iter [36850/160000] lr: 1.539e-05, eta: 8:34:20, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3093, decode.acc_seg: 71.1463, aux.loss_ce: 0.1320, aux.acc_seg: 70.6132, loss: 0.4413 +2022-02-27 23:58:48,714 - mmseg - INFO - Iter [36900/160000] lr: 1.539e-05, eta: 8:34:06, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2901, decode.acc_seg: 70.9517, aux.loss_ce: 0.1235, aux.acc_seg: 70.5709, loss: 0.4136 +2022-02-27 23:59:00,994 - mmseg - INFO - Iter [36950/160000] lr: 1.538e-05, eta: 8:33:53, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2863, decode.acc_seg: 70.7706, aux.loss_ce: 0.1238, aux.acc_seg: 70.2918, loss: 0.4101 +2022-02-27 23:59:13,170 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-27 23:59:13,170 - mmseg - INFO - Iter [37000/160000] lr: 1.538e-05, eta: 8:33:39, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3000, decode.acc_seg: 70.4388, aux.loss_ce: 0.1285, aux.acc_seg: 69.8750, loss: 0.4284 +2022-02-27 23:59:25,533 - mmseg - INFO - Iter [37050/160000] lr: 1.537e-05, eta: 8:33:26, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2931, decode.acc_seg: 71.5126, aux.loss_ce: 0.1251, aux.acc_seg: 71.0158, loss: 0.4182 +2022-02-27 23:59:37,679 - mmseg - INFO - Iter [37100/160000] lr: 1.536e-05, eta: 8:33:12, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2661, decode.acc_seg: 70.5195, aux.loss_ce: 0.1140, aux.acc_seg: 70.0868, loss: 0.3801 +2022-02-27 23:59:49,856 - mmseg - INFO - Iter [37150/160000] lr: 1.536e-05, eta: 8:32:59, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3077, decode.acc_seg: 71.1793, aux.loss_ce: 0.1307, aux.acc_seg: 70.7027, loss: 0.4383 +2022-02-28 00:00:02,097 - mmseg - INFO - Iter [37200/160000] lr: 1.535e-05, eta: 8:32:45, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2891, decode.acc_seg: 70.4501, aux.loss_ce: 0.1255, aux.acc_seg: 69.8502, loss: 0.4146 +2022-02-28 00:00:14,589 - mmseg - INFO - Iter [37250/160000] lr: 1.534e-05, eta: 8:32:33, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2850, decode.acc_seg: 70.0598, aux.loss_ce: 0.1236, aux.acc_seg: 69.5890, loss: 0.4086 +2022-02-28 00:00:26,772 - mmseg - INFO - Iter [37300/160000] lr: 1.534e-05, eta: 8:32:19, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2968, decode.acc_seg: 70.7489, aux.loss_ce: 0.1248, aux.acc_seg: 70.2527, loss: 0.4215 +2022-02-28 00:00:39,016 - mmseg - INFO - Iter [37350/160000] lr: 1.533e-05, eta: 8:32:05, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2964, decode.acc_seg: 70.9227, aux.loss_ce: 0.1261, aux.acc_seg: 70.4413, loss: 0.4225 +2022-02-28 00:00:51,448 - mmseg - INFO - Iter [37400/160000] lr: 1.533e-05, eta: 8:31:53, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2872, decode.acc_seg: 70.9106, aux.loss_ce: 0.1219, aux.acc_seg: 70.5101, loss: 0.4090 +2022-02-28 00:01:03,727 - mmseg - INFO - Iter [37450/160000] lr: 1.532e-05, eta: 8:31:39, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2823, decode.acc_seg: 69.9238, aux.loss_ce: 0.1207, aux.acc_seg: 69.5047, loss: 0.4030 +2022-02-28 00:01:16,078 - mmseg - INFO - Iter [37500/160000] lr: 1.531e-05, eta: 8:31:26, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2771, decode.acc_seg: 71.0862, aux.loss_ce: 0.1193, aux.acc_seg: 70.5875, loss: 0.3963 +2022-02-28 00:01:28,742 - mmseg - INFO - Iter [37550/160000] lr: 1.531e-05, eta: 8:31:14, time: 0.253, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2681, decode.acc_seg: 72.4858, aux.loss_ce: 0.1153, aux.acc_seg: 72.0102, loss: 0.3834 +2022-02-28 00:01:40,987 - mmseg - INFO - Iter [37600/160000] lr: 1.530e-05, eta: 8:31:01, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2732, decode.acc_seg: 69.6604, aux.loss_ce: 0.1169, aux.acc_seg: 69.1815, loss: 0.3902 +2022-02-28 00:01:53,500 - mmseg - INFO - Iter [37650/160000] lr: 1.529e-05, eta: 8:30:48, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2924, decode.acc_seg: 71.7102, aux.loss_ce: 0.1249, aux.acc_seg: 71.1386, loss: 0.4173 +2022-02-28 00:02:05,824 - mmseg - INFO - Iter [37700/160000] lr: 1.529e-05, eta: 8:30:35, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2943, decode.acc_seg: 70.9249, aux.loss_ce: 0.1254, aux.acc_seg: 70.4281, loss: 0.4197 +2022-02-28 00:02:18,389 - mmseg - INFO - Iter [37750/160000] lr: 1.528e-05, eta: 8:30:23, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2830, decode.acc_seg: 70.4281, aux.loss_ce: 0.1186, aux.acc_seg: 70.1284, loss: 0.4017 +2022-02-28 00:02:30,662 - mmseg - INFO - Iter [37800/160000] lr: 1.528e-05, eta: 8:30:09, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2867, decode.acc_seg: 71.5190, aux.loss_ce: 0.1239, aux.acc_seg: 71.0341, loss: 0.4106 +2022-02-28 00:02:42,893 - mmseg - INFO - Iter [37850/160000] lr: 1.527e-05, eta: 8:29:56, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2977, decode.acc_seg: 70.6255, aux.loss_ce: 0.1275, aux.acc_seg: 70.0775, loss: 0.4252 +2022-02-28 00:02:57,409 - mmseg - INFO - Iter [37900/160000] lr: 1.526e-05, eta: 8:29:50, time: 0.290, data_time: 0.048, memory: 56778, decode.loss_ce: 0.2808, decode.acc_seg: 71.3484, aux.loss_ce: 0.1205, aux.acc_seg: 70.7950, loss: 0.4013 +2022-02-28 00:03:09,661 - mmseg - INFO - Iter [37950/160000] lr: 1.526e-05, eta: 8:29:36, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2830, decode.acc_seg: 70.4497, aux.loss_ce: 0.1206, aux.acc_seg: 69.9650, loss: 0.4036 +2022-02-28 00:03:21,807 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 00:03:21,808 - mmseg - INFO - Iter [38000/160000] lr: 1.525e-05, eta: 8:29:22, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2769, decode.acc_seg: 72.8653, aux.loss_ce: 0.1202, aux.acc_seg: 72.2971, loss: 0.3972 +2022-02-28 00:03:34,133 - mmseg - INFO - Iter [38050/160000] lr: 1.524e-05, eta: 8:29:09, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2729, decode.acc_seg: 73.0885, aux.loss_ce: 0.1161, aux.acc_seg: 72.5842, loss: 0.3890 +2022-02-28 00:03:46,371 - mmseg - INFO - Iter [38100/160000] lr: 1.524e-05, eta: 8:28:56, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2689, decode.acc_seg: 72.4256, aux.loss_ce: 0.1168, aux.acc_seg: 71.8661, loss: 0.3857 +2022-02-28 00:03:58,544 - mmseg - INFO - Iter [38150/160000] lr: 1.523e-05, eta: 8:28:42, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3091, decode.acc_seg: 71.9131, aux.loss_ce: 0.1297, aux.acc_seg: 71.4880, loss: 0.4388 +2022-02-28 00:04:10,770 - mmseg - INFO - Iter [38200/160000] lr: 1.523e-05, eta: 8:28:29, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2727, decode.acc_seg: 73.6008, aux.loss_ce: 0.1152, aux.acc_seg: 73.2775, loss: 0.3879 +2022-02-28 00:04:22,934 - mmseg - INFO - Iter [38250/160000] lr: 1.522e-05, eta: 8:28:15, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2599, decode.acc_seg: 71.3125, aux.loss_ce: 0.1120, aux.acc_seg: 70.7203, loss: 0.3719 +2022-02-28 00:04:35,308 - mmseg - INFO - Iter [38300/160000] lr: 1.521e-05, eta: 8:28:02, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2800, decode.acc_seg: 72.9159, aux.loss_ce: 0.1218, aux.acc_seg: 72.3480, loss: 0.4019 +2022-02-28 00:04:47,577 - mmseg - INFO - Iter [38350/160000] lr: 1.521e-05, eta: 8:27:49, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2967, decode.acc_seg: 71.9079, aux.loss_ce: 0.1259, aux.acc_seg: 71.5417, loss: 0.4226 +2022-02-28 00:04:59,874 - mmseg - INFO - Iter [38400/160000] lr: 1.520e-05, eta: 8:27:35, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2780, decode.acc_seg: 72.0153, aux.loss_ce: 0.1187, aux.acc_seg: 71.6810, loss: 0.3967 +2022-02-28 00:05:12,282 - mmseg - INFO - Iter [38450/160000] lr: 1.519e-05, eta: 8:27:23, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2643, decode.acc_seg: 71.9822, aux.loss_ce: 0.1125, aux.acc_seg: 71.5675, loss: 0.3768 +2022-02-28 00:05:24,719 - mmseg - INFO - Iter [38500/160000] lr: 1.519e-05, eta: 8:27:10, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2809, decode.acc_seg: 71.5337, aux.loss_ce: 0.1202, aux.acc_seg: 71.0823, loss: 0.4012 +2022-02-28 00:05:37,047 - mmseg - INFO - Iter [38550/160000] lr: 1.518e-05, eta: 8:26:57, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2761, decode.acc_seg: 71.4870, aux.loss_ce: 0.1190, aux.acc_seg: 70.9793, loss: 0.3951 +2022-02-28 00:05:49,383 - mmseg - INFO - Iter [38600/160000] lr: 1.518e-05, eta: 8:26:44, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2883, decode.acc_seg: 72.8205, aux.loss_ce: 0.1223, aux.acc_seg: 72.3593, loss: 0.4105 +2022-02-28 00:06:01,651 - mmseg - INFO - Iter [38650/160000] lr: 1.517e-05, eta: 8:26:30, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2790, decode.acc_seg: 72.5330, aux.loss_ce: 0.1177, aux.acc_seg: 72.1959, loss: 0.3967 +2022-02-28 00:06:14,414 - mmseg - INFO - Iter [38700/160000] lr: 1.516e-05, eta: 8:26:18, time: 0.255, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2951, decode.acc_seg: 71.9378, aux.loss_ce: 0.1268, aux.acc_seg: 71.3844, loss: 0.4218 +2022-02-28 00:06:26,647 - mmseg - INFO - Iter [38750/160000] lr: 1.516e-05, eta: 8:26:05, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3102, decode.acc_seg: 69.9220, aux.loss_ce: 0.1311, aux.acc_seg: 69.4651, loss: 0.4413 +2022-02-28 00:06:38,858 - mmseg - INFO - Iter [38800/160000] lr: 1.515e-05, eta: 8:25:52, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2911, decode.acc_seg: 71.5831, aux.loss_ce: 0.1250, aux.acc_seg: 71.0716, loss: 0.4161 +2022-02-28 00:06:51,150 - mmseg - INFO - Iter [38850/160000] lr: 1.514e-05, eta: 8:25:38, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2798, decode.acc_seg: 71.5475, aux.loss_ce: 0.1200, aux.acc_seg: 70.9656, loss: 0.3998 +2022-02-28 00:07:03,393 - mmseg - INFO - Iter [38900/160000] lr: 1.514e-05, eta: 8:25:25, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2839, decode.acc_seg: 72.3503, aux.loss_ce: 0.1225, aux.acc_seg: 71.8488, loss: 0.4064 +2022-02-28 00:07:15,721 - mmseg - INFO - Iter [38950/160000] lr: 1.513e-05, eta: 8:25:12, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2931, decode.acc_seg: 72.6728, aux.loss_ce: 0.1257, aux.acc_seg: 72.1640, loss: 0.4189 +2022-02-28 00:07:27,889 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 00:07:27,889 - mmseg - INFO - Iter [39000/160000] lr: 1.513e-05, eta: 8:24:58, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2876, decode.acc_seg: 70.9296, aux.loss_ce: 0.1226, aux.acc_seg: 70.4722, loss: 0.4102 +2022-02-28 00:07:40,138 - mmseg - INFO - Iter [39050/160000] lr: 1.512e-05, eta: 8:24:45, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2862, decode.acc_seg: 70.8567, aux.loss_ce: 0.1241, aux.acc_seg: 70.3051, loss: 0.4103 +2022-02-28 00:07:52,581 - mmseg - INFO - Iter [39100/160000] lr: 1.511e-05, eta: 8:24:32, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3147, decode.acc_seg: 71.9392, aux.loss_ce: 0.1325, aux.acc_seg: 71.4841, loss: 0.4473 +2022-02-28 00:08:04,697 - mmseg - INFO - Iter [39150/160000] lr: 1.511e-05, eta: 8:24:18, time: 0.242, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2884, decode.acc_seg: 71.9145, aux.loss_ce: 0.1226, aux.acc_seg: 71.3861, loss: 0.4109 +2022-02-28 00:08:19,341 - mmseg - INFO - Iter [39200/160000] lr: 1.510e-05, eta: 8:24:12, time: 0.293, data_time: 0.047, memory: 56778, decode.loss_ce: 0.2745, decode.acc_seg: 71.6158, aux.loss_ce: 0.1175, aux.acc_seg: 71.2080, loss: 0.3919 +2022-02-28 00:08:31,675 - mmseg - INFO - Iter [39250/160000] lr: 1.509e-05, eta: 8:23:59, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2882, decode.acc_seg: 70.8092, aux.loss_ce: 0.1224, aux.acc_seg: 70.5249, loss: 0.4106 +2022-02-28 00:08:44,096 - mmseg - INFO - Iter [39300/160000] lr: 1.509e-05, eta: 8:23:46, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2833, decode.acc_seg: 72.4419, aux.loss_ce: 0.1204, aux.acc_seg: 71.9692, loss: 0.4037 +2022-02-28 00:08:56,375 - mmseg - INFO - Iter [39350/160000] lr: 1.508e-05, eta: 8:23:33, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2769, decode.acc_seg: 71.5190, aux.loss_ce: 0.1175, aux.acc_seg: 71.1867, loss: 0.3944 +2022-02-28 00:09:08,544 - mmseg - INFO - Iter [39400/160000] lr: 1.508e-05, eta: 8:23:19, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2818, decode.acc_seg: 70.6659, aux.loss_ce: 0.1206, aux.acc_seg: 70.1298, loss: 0.4024 +2022-02-28 00:09:20,937 - mmseg - INFO - Iter [39450/160000] lr: 1.507e-05, eta: 8:23:07, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2767, decode.acc_seg: 70.4509, aux.loss_ce: 0.1184, aux.acc_seg: 69.9013, loss: 0.3951 +2022-02-28 00:09:33,128 - mmseg - INFO - Iter [39500/160000] lr: 1.506e-05, eta: 8:22:53, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2599, decode.acc_seg: 71.7735, aux.loss_ce: 0.1126, aux.acc_seg: 71.2013, loss: 0.3726 +2022-02-28 00:09:45,329 - mmseg - INFO - Iter [39550/160000] lr: 1.506e-05, eta: 8:22:40, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2664, decode.acc_seg: 72.0027, aux.loss_ce: 0.1140, aux.acc_seg: 71.5675, loss: 0.3805 +2022-02-28 00:09:57,771 - mmseg - INFO - Iter [39600/160000] lr: 1.505e-05, eta: 8:22:27, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2818, decode.acc_seg: 73.0729, aux.loss_ce: 0.1197, aux.acc_seg: 72.7017, loss: 0.4015 +2022-02-28 00:10:10,079 - mmseg - INFO - Iter [39650/160000] lr: 1.504e-05, eta: 8:22:14, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2691, decode.acc_seg: 71.6536, aux.loss_ce: 0.1155, aux.acc_seg: 71.2882, loss: 0.3846 +2022-02-28 00:10:22,489 - mmseg - INFO - Iter [39700/160000] lr: 1.504e-05, eta: 8:22:01, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2901, decode.acc_seg: 73.3900, aux.loss_ce: 0.1248, aux.acc_seg: 72.8394, loss: 0.4150 +2022-02-28 00:10:34,743 - mmseg - INFO - Iter [39750/160000] lr: 1.503e-05, eta: 8:21:47, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2848, decode.acc_seg: 72.6372, aux.loss_ce: 0.1230, aux.acc_seg: 72.0759, loss: 0.4078 +2022-02-28 00:10:47,045 - mmseg - INFO - Iter [39800/160000] lr: 1.503e-05, eta: 8:21:34, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2695, decode.acc_seg: 71.9488, aux.loss_ce: 0.1158, aux.acc_seg: 71.4796, loss: 0.3853 +2022-02-28 00:10:59,263 - mmseg - INFO - Iter [39850/160000] lr: 1.502e-05, eta: 8:21:21, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2817, decode.acc_seg: 72.1910, aux.loss_ce: 0.1217, aux.acc_seg: 71.6991, loss: 0.4034 +2022-02-28 00:11:11,631 - mmseg - INFO - Iter [39900/160000] lr: 1.501e-05, eta: 8:21:08, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2774, decode.acc_seg: 70.6508, aux.loss_ce: 0.1195, aux.acc_seg: 70.0672, loss: 0.3970 +2022-02-28 00:11:23,918 - mmseg - INFO - Iter [39950/160000] lr: 1.501e-05, eta: 8:20:55, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2837, decode.acc_seg: 72.6475, aux.loss_ce: 0.1216, aux.acc_seg: 72.1775, loss: 0.4054 +2022-02-28 00:11:36,151 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 00:11:36,151 - mmseg - INFO - Iter [40000/160000] lr: 1.500e-05, eta: 8:20:41, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2787, decode.acc_seg: 71.3239, aux.loss_ce: 0.1179, aux.acc_seg: 71.0476, loss: 0.3966 +2022-02-28 00:11:48,392 - mmseg - INFO - Iter [40050/160000] lr: 1.499e-05, eta: 8:20:28, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2809, decode.acc_seg: 71.7865, aux.loss_ce: 0.1198, aux.acc_seg: 71.2595, loss: 0.4007 +2022-02-28 00:12:00,828 - mmseg - INFO - Iter [40100/160000] lr: 1.499e-05, eta: 8:20:15, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2946, decode.acc_seg: 71.7457, aux.loss_ce: 0.1256, aux.acc_seg: 71.2804, loss: 0.4201 +2022-02-28 00:12:13,028 - mmseg - INFO - Iter [40150/160000] lr: 1.498e-05, eta: 8:20:02, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2532, decode.acc_seg: 70.3336, aux.loss_ce: 0.1103, aux.acc_seg: 69.7552, loss: 0.3635 +2022-02-28 00:12:25,241 - mmseg - INFO - Iter [40200/160000] lr: 1.498e-05, eta: 8:19:48, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2677, decode.acc_seg: 71.9572, aux.loss_ce: 0.1153, aux.acc_seg: 71.4798, loss: 0.3830 +2022-02-28 00:12:37,487 - mmseg - INFO - Iter [40250/160000] lr: 1.497e-05, eta: 8:19:35, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3035, decode.acc_seg: 71.3812, aux.loss_ce: 0.1295, aux.acc_seg: 70.9366, loss: 0.4330 +2022-02-28 00:12:49,708 - mmseg - INFO - Iter [40300/160000] lr: 1.496e-05, eta: 8:19:22, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2754, decode.acc_seg: 71.8844, aux.loss_ce: 0.1185, aux.acc_seg: 71.4701, loss: 0.3939 +2022-02-28 00:13:01,945 - mmseg - INFO - Iter [40350/160000] lr: 1.496e-05, eta: 8:19:08, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2814, decode.acc_seg: 72.3463, aux.loss_ce: 0.1200, aux.acc_seg: 71.9910, loss: 0.4013 +2022-02-28 00:13:14,156 - mmseg - INFO - Iter [40400/160000] lr: 1.495e-05, eta: 8:18:55, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2849, decode.acc_seg: 71.3877, aux.loss_ce: 0.1222, aux.acc_seg: 70.9265, loss: 0.4071 +2022-02-28 00:13:28,757 - mmseg - INFO - Iter [40450/160000] lr: 1.494e-05, eta: 8:18:48, time: 0.292, data_time: 0.049, memory: 56778, decode.loss_ce: 0.2903, decode.acc_seg: 69.6924, aux.loss_ce: 0.1231, aux.acc_seg: 69.1835, loss: 0.4134 +2022-02-28 00:13:40,915 - mmseg - INFO - Iter [40500/160000] lr: 1.494e-05, eta: 8:18:35, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2917, decode.acc_seg: 71.6072, aux.loss_ce: 0.1236, aux.acc_seg: 71.1739, loss: 0.4153 +2022-02-28 00:13:53,168 - mmseg - INFO - Iter [40550/160000] lr: 1.493e-05, eta: 8:18:22, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2659, decode.acc_seg: 72.3901, aux.loss_ce: 0.1132, aux.acc_seg: 72.0623, loss: 0.3791 +2022-02-28 00:14:05,346 - mmseg - INFO - Iter [40600/160000] lr: 1.493e-05, eta: 8:18:08, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2712, decode.acc_seg: 72.2842, aux.loss_ce: 0.1179, aux.acc_seg: 71.5298, loss: 0.3891 +2022-02-28 00:14:17,975 - mmseg - INFO - Iter [40650/160000] lr: 1.492e-05, eta: 8:17:56, time: 0.253, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2873, decode.acc_seg: 70.2571, aux.loss_ce: 0.1221, aux.acc_seg: 69.7777, loss: 0.4094 +2022-02-28 00:14:30,262 - mmseg - INFO - Iter [40700/160000] lr: 1.491e-05, eta: 8:17:43, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2817, decode.acc_seg: 71.3713, aux.loss_ce: 0.1208, aux.acc_seg: 70.8383, loss: 0.4025 +2022-02-28 00:14:42,548 - mmseg - INFO - Iter [40750/160000] lr: 1.491e-05, eta: 8:17:30, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2786, decode.acc_seg: 72.0014, aux.loss_ce: 0.1189, aux.acc_seg: 71.5341, loss: 0.3975 +2022-02-28 00:14:54,790 - mmseg - INFO - Iter [40800/160000] lr: 1.490e-05, eta: 8:17:16, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2701, decode.acc_seg: 72.0652, aux.loss_ce: 0.1155, aux.acc_seg: 71.6369, loss: 0.3856 +2022-02-28 00:15:07,125 - mmseg - INFO - Iter [40850/160000] lr: 1.489e-05, eta: 8:17:03, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2712, decode.acc_seg: 70.4930, aux.loss_ce: 0.1160, aux.acc_seg: 70.0289, loss: 0.3872 +2022-02-28 00:15:19,405 - mmseg - INFO - Iter [40900/160000] lr: 1.489e-05, eta: 8:16:50, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2721, decode.acc_seg: 71.0997, aux.loss_ce: 0.1185, aux.acc_seg: 70.5033, loss: 0.3906 +2022-02-28 00:15:32,023 - mmseg - INFO - Iter [40950/160000] lr: 1.488e-05, eta: 8:16:38, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2762, decode.acc_seg: 72.5556, aux.loss_ce: 0.1188, aux.acc_seg: 72.0183, loss: 0.3949 +2022-02-28 00:15:44,359 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 00:15:44,359 - mmseg - INFO - Iter [41000/160000] lr: 1.488e-05, eta: 8:16:25, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2695, decode.acc_seg: 72.0155, aux.loss_ce: 0.1157, aux.acc_seg: 71.4598, loss: 0.3852 +2022-02-28 00:15:56,641 - mmseg - INFO - Iter [41050/160000] lr: 1.487e-05, eta: 8:16:12, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2769, decode.acc_seg: 72.7505, aux.loss_ce: 0.1189, aux.acc_seg: 72.3758, loss: 0.3959 +2022-02-28 00:16:08,850 - mmseg - INFO - Iter [41100/160000] lr: 1.486e-05, eta: 8:15:58, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2776, decode.acc_seg: 72.5654, aux.loss_ce: 0.1191, aux.acc_seg: 72.0565, loss: 0.3967 +2022-02-28 00:16:21,252 - mmseg - INFO - Iter [41150/160000] lr: 1.486e-05, eta: 8:15:45, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2887, decode.acc_seg: 70.8183, aux.loss_ce: 0.1231, aux.acc_seg: 70.4193, loss: 0.4118 +2022-02-28 00:16:33,521 - mmseg - INFO - Iter [41200/160000] lr: 1.485e-05, eta: 8:15:32, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2690, decode.acc_seg: 72.1150, aux.loss_ce: 0.1141, aux.acc_seg: 71.6503, loss: 0.3831 +2022-02-28 00:16:45,662 - mmseg - INFO - Iter [41250/160000] lr: 1.484e-05, eta: 8:15:18, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2746, decode.acc_seg: 71.6982, aux.loss_ce: 0.1183, aux.acc_seg: 71.3082, loss: 0.3928 +2022-02-28 00:16:58,021 - mmseg - INFO - Iter [41300/160000] lr: 1.484e-05, eta: 8:15:06, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2594, decode.acc_seg: 73.2000, aux.loss_ce: 0.1118, aux.acc_seg: 72.8082, loss: 0.3711 +2022-02-28 00:17:10,273 - mmseg - INFO - Iter [41350/160000] lr: 1.483e-05, eta: 8:14:52, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2714, decode.acc_seg: 70.8523, aux.loss_ce: 0.1153, aux.acc_seg: 70.5357, loss: 0.3867 +2022-02-28 00:17:22,541 - mmseg - INFO - Iter [41400/160000] lr: 1.483e-05, eta: 8:14:39, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2709, decode.acc_seg: 71.8093, aux.loss_ce: 0.1172, aux.acc_seg: 71.2977, loss: 0.3881 +2022-02-28 00:17:34,804 - mmseg - INFO - Iter [41450/160000] lr: 1.482e-05, eta: 8:14:26, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2922, decode.acc_seg: 72.1225, aux.loss_ce: 0.1268, aux.acc_seg: 71.4159, loss: 0.4190 +2022-02-28 00:17:46,959 - mmseg - INFO - Iter [41500/160000] lr: 1.481e-05, eta: 8:14:12, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2686, decode.acc_seg: 71.5874, aux.loss_ce: 0.1155, aux.acc_seg: 71.1423, loss: 0.3841 +2022-02-28 00:17:59,089 - mmseg - INFO - Iter [41550/160000] lr: 1.481e-05, eta: 8:13:59, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2880, decode.acc_seg: 71.5207, aux.loss_ce: 0.1244, aux.acc_seg: 70.9633, loss: 0.4124 +2022-02-28 00:18:11,443 - mmseg - INFO - Iter [41600/160000] lr: 1.480e-05, eta: 8:13:46, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2809, decode.acc_seg: 71.9597, aux.loss_ce: 0.1216, aux.acc_seg: 71.1697, loss: 0.4025 +2022-02-28 00:18:23,844 - mmseg - INFO - Iter [41650/160000] lr: 1.479e-05, eta: 8:13:33, time: 0.248, data_time: 0.005, memory: 56778, decode.loss_ce: 0.2688, decode.acc_seg: 71.9159, aux.loss_ce: 0.1155, aux.acc_seg: 71.5419, loss: 0.3843 +2022-02-28 00:18:38,543 - mmseg - INFO - Iter [41700/160000] lr: 1.479e-05, eta: 8:13:27, time: 0.294, data_time: 0.049, memory: 56778, decode.loss_ce: 0.2870, decode.acc_seg: 73.2421, aux.loss_ce: 0.1228, aux.acc_seg: 72.7304, loss: 0.4098 +2022-02-28 00:18:50,984 - mmseg - INFO - Iter [41750/160000] lr: 1.478e-05, eta: 8:13:14, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2539, decode.acc_seg: 71.5167, aux.loss_ce: 0.1110, aux.acc_seg: 70.9560, loss: 0.3649 +2022-02-28 00:19:03,205 - mmseg - INFO - Iter [41800/160000] lr: 1.478e-05, eta: 8:13:01, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2568, decode.acc_seg: 72.5662, aux.loss_ce: 0.1114, aux.acc_seg: 72.0098, loss: 0.3682 +2022-02-28 00:19:15,455 - mmseg - INFO - Iter [41850/160000] lr: 1.477e-05, eta: 8:12:47, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2768, decode.acc_seg: 71.1516, aux.loss_ce: 0.1183, aux.acc_seg: 70.7422, loss: 0.3951 +2022-02-28 00:19:27,833 - mmseg - INFO - Iter [41900/160000] lr: 1.476e-05, eta: 8:12:34, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2811, decode.acc_seg: 73.2215, aux.loss_ce: 0.1210, aux.acc_seg: 72.7648, loss: 0.4021 +2022-02-28 00:19:40,142 - mmseg - INFO - Iter [41950/160000] lr: 1.476e-05, eta: 8:12:21, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2666, decode.acc_seg: 71.4772, aux.loss_ce: 0.1146, aux.acc_seg: 71.0630, loss: 0.3812 +2022-02-28 00:19:52,411 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 00:19:52,411 - mmseg - INFO - Iter [42000/160000] lr: 1.475e-05, eta: 8:12:08, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2693, decode.acc_seg: 71.8525, aux.loss_ce: 0.1149, aux.acc_seg: 71.5562, loss: 0.3841 +2022-02-28 00:20:04,766 - mmseg - INFO - Iter [42050/160000] lr: 1.474e-05, eta: 8:11:55, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2773, decode.acc_seg: 71.4364, aux.loss_ce: 0.1188, aux.acc_seg: 70.9785, loss: 0.3962 +2022-02-28 00:20:17,045 - mmseg - INFO - Iter [42100/160000] lr: 1.474e-05, eta: 8:11:42, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2565, decode.acc_seg: 71.5438, aux.loss_ce: 0.1111, aux.acc_seg: 71.0190, loss: 0.3677 +2022-02-28 00:20:29,261 - mmseg - INFO - Iter [42150/160000] lr: 1.473e-05, eta: 8:11:29, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2795, decode.acc_seg: 71.6822, aux.loss_ce: 0.1205, aux.acc_seg: 71.1491, loss: 0.4000 +2022-02-28 00:20:41,469 - mmseg - INFO - Iter [42200/160000] lr: 1.473e-05, eta: 8:11:15, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2796, decode.acc_seg: 71.8727, aux.loss_ce: 0.1199, aux.acc_seg: 71.4166, loss: 0.3995 +2022-02-28 00:20:53,704 - mmseg - INFO - Iter [42250/160000] lr: 1.472e-05, eta: 8:11:02, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2773, decode.acc_seg: 71.0562, aux.loss_ce: 0.1177, aux.acc_seg: 70.6186, loss: 0.3950 +2022-02-28 00:21:05,870 - mmseg - INFO - Iter [42300/160000] lr: 1.471e-05, eta: 8:10:49, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2863, decode.acc_seg: 71.9663, aux.loss_ce: 0.1239, aux.acc_seg: 71.4101, loss: 0.4102 +2022-02-28 00:21:18,157 - mmseg - INFO - Iter [42350/160000] lr: 1.471e-05, eta: 8:10:35, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2717, decode.acc_seg: 72.7413, aux.loss_ce: 0.1164, aux.acc_seg: 72.2533, loss: 0.3882 +2022-02-28 00:21:30,397 - mmseg - INFO - Iter [42400/160000] lr: 1.470e-05, eta: 8:10:22, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2720, decode.acc_seg: 71.7627, aux.loss_ce: 0.1151, aux.acc_seg: 71.3668, loss: 0.3872 +2022-02-28 00:21:42,703 - mmseg - INFO - Iter [42450/160000] lr: 1.469e-05, eta: 8:10:09, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2565, decode.acc_seg: 71.5343, aux.loss_ce: 0.1104, aux.acc_seg: 71.0600, loss: 0.3670 +2022-02-28 00:21:54,954 - mmseg - INFO - Iter [42500/160000] lr: 1.469e-05, eta: 8:09:56, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2751, decode.acc_seg: 71.1837, aux.loss_ce: 0.1182, aux.acc_seg: 70.6977, loss: 0.3933 +2022-02-28 00:22:07,213 - mmseg - INFO - Iter [42550/160000] lr: 1.468e-05, eta: 8:09:43, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2770, decode.acc_seg: 72.1566, aux.loss_ce: 0.1184, aux.acc_seg: 71.7787, loss: 0.3954 +2022-02-28 00:22:19,439 - mmseg - INFO - Iter [42600/160000] lr: 1.468e-05, eta: 8:09:29, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2616, decode.acc_seg: 70.6056, aux.loss_ce: 0.1111, aux.acc_seg: 70.2180, loss: 0.3727 +2022-02-28 00:22:31,742 - mmseg - INFO - Iter [42650/160000] lr: 1.467e-05, eta: 8:09:16, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2894, decode.acc_seg: 71.2109, aux.loss_ce: 0.1234, aux.acc_seg: 70.8881, loss: 0.4128 +2022-02-28 00:22:43,976 - mmseg - INFO - Iter [42700/160000] lr: 1.466e-05, eta: 8:09:03, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2732, decode.acc_seg: 71.1870, aux.loss_ce: 0.1171, aux.acc_seg: 70.9569, loss: 0.3903 +2022-02-28 00:22:56,303 - mmseg - INFO - Iter [42750/160000] lr: 1.466e-05, eta: 8:08:50, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2906, decode.acc_seg: 72.3158, aux.loss_ce: 0.1233, aux.acc_seg: 71.9152, loss: 0.4139 +2022-02-28 00:23:08,609 - mmseg - INFO - Iter [42800/160000] lr: 1.465e-05, eta: 8:08:37, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2886, decode.acc_seg: 71.4926, aux.loss_ce: 0.1233, aux.acc_seg: 71.1000, loss: 0.4119 +2022-02-28 00:23:20,829 - mmseg - INFO - Iter [42850/160000] lr: 1.464e-05, eta: 8:08:24, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2586, decode.acc_seg: 72.2633, aux.loss_ce: 0.1120, aux.acc_seg: 71.8228, loss: 0.3707 +2022-02-28 00:23:33,114 - mmseg - INFO - Iter [42900/160000] lr: 1.464e-05, eta: 8:08:11, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3071, decode.acc_seg: 71.9061, aux.loss_ce: 0.1337, aux.acc_seg: 71.2870, loss: 0.4407 +2022-02-28 00:23:47,910 - mmseg - INFO - Iter [42950/160000] lr: 1.463e-05, eta: 8:08:04, time: 0.296, data_time: 0.051, memory: 56778, decode.loss_ce: 0.2961, decode.acc_seg: 71.0372, aux.loss_ce: 0.1239, aux.acc_seg: 70.6659, loss: 0.4199 +2022-02-28 00:24:00,165 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 00:24:00,165 - mmseg - INFO - Iter [43000/160000] lr: 1.463e-05, eta: 8:07:51, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2791, decode.acc_seg: 72.3604, aux.loss_ce: 0.1200, aux.acc_seg: 71.6848, loss: 0.3991 +2022-02-28 00:24:12,382 - mmseg - INFO - Iter [43050/160000] lr: 1.462e-05, eta: 8:07:38, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2592, decode.acc_seg: 73.6194, aux.loss_ce: 0.1126, aux.acc_seg: 73.0377, loss: 0.3718 +2022-02-28 00:24:24,780 - mmseg - INFO - Iter [43100/160000] lr: 1.461e-05, eta: 8:07:25, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2607, decode.acc_seg: 72.1044, aux.loss_ce: 0.1138, aux.acc_seg: 71.5695, loss: 0.3744 +2022-02-28 00:24:37,000 - mmseg - INFO - Iter [43150/160000] lr: 1.461e-05, eta: 8:07:12, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2766, decode.acc_seg: 72.2922, aux.loss_ce: 0.1190, aux.acc_seg: 71.7609, loss: 0.3956 +2022-02-28 00:24:49,277 - mmseg - INFO - Iter [43200/160000] lr: 1.460e-05, eta: 8:06:59, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2770, decode.acc_seg: 70.3562, aux.loss_ce: 0.1209, aux.acc_seg: 69.8281, loss: 0.3978 +2022-02-28 00:25:01,473 - mmseg - INFO - Iter [43250/160000] lr: 1.459e-05, eta: 8:06:45, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2875, decode.acc_seg: 71.9075, aux.loss_ce: 0.1233, aux.acc_seg: 71.3028, loss: 0.4108 +2022-02-28 00:25:13,895 - mmseg - INFO - Iter [43300/160000] lr: 1.459e-05, eta: 8:06:32, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2637, decode.acc_seg: 73.0722, aux.loss_ce: 0.1141, aux.acc_seg: 72.5541, loss: 0.3777 +2022-02-28 00:25:26,199 - mmseg - INFO - Iter [43350/160000] lr: 1.458e-05, eta: 8:06:19, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2649, decode.acc_seg: 73.0577, aux.loss_ce: 0.1112, aux.acc_seg: 72.7284, loss: 0.3761 +2022-02-28 00:25:38,456 - mmseg - INFO - Iter [43400/160000] lr: 1.458e-05, eta: 8:06:06, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2454, decode.acc_seg: 73.1817, aux.loss_ce: 0.1073, aux.acc_seg: 72.6142, loss: 0.3527 +2022-02-28 00:25:50,734 - mmseg - INFO - Iter [43450/160000] lr: 1.457e-05, eta: 8:05:53, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2626, decode.acc_seg: 70.8697, aux.loss_ce: 0.1132, aux.acc_seg: 70.2708, loss: 0.3758 +2022-02-28 00:26:02,903 - mmseg - INFO - Iter [43500/160000] lr: 1.456e-05, eta: 8:05:40, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2714, decode.acc_seg: 72.3521, aux.loss_ce: 0.1186, aux.acc_seg: 71.6878, loss: 0.3899 +2022-02-28 00:26:15,155 - mmseg - INFO - Iter [43550/160000] lr: 1.456e-05, eta: 8:05:26, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2467, decode.acc_seg: 72.7960, aux.loss_ce: 0.1088, aux.acc_seg: 72.1696, loss: 0.3555 +2022-02-28 00:26:27,536 - mmseg - INFO - Iter [43600/160000] lr: 1.455e-05, eta: 8:05:14, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2710, decode.acc_seg: 72.0716, aux.loss_ce: 0.1148, aux.acc_seg: 71.6219, loss: 0.3858 +2022-02-28 00:26:39,734 - mmseg - INFO - Iter [43650/160000] lr: 1.454e-05, eta: 8:05:00, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2618, decode.acc_seg: 72.5808, aux.loss_ce: 0.1125, aux.acc_seg: 72.0851, loss: 0.3742 +2022-02-28 00:26:51,868 - mmseg - INFO - Iter [43700/160000] lr: 1.454e-05, eta: 8:04:47, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2726, decode.acc_seg: 72.6591, aux.loss_ce: 0.1176, aux.acc_seg: 72.1717, loss: 0.3903 +2022-02-28 00:27:04,055 - mmseg - INFO - Iter [43750/160000] lr: 1.453e-05, eta: 8:04:33, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2634, decode.acc_seg: 71.2573, aux.loss_ce: 0.1130, aux.acc_seg: 70.7371, loss: 0.3764 +2022-02-28 00:27:16,384 - mmseg - INFO - Iter [43800/160000] lr: 1.453e-05, eta: 8:04:20, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.3060, decode.acc_seg: 71.2096, aux.loss_ce: 0.1296, aux.acc_seg: 70.8646, loss: 0.4357 +2022-02-28 00:27:28,655 - mmseg - INFO - Iter [43850/160000] lr: 1.452e-05, eta: 8:04:07, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2820, decode.acc_seg: 71.2904, aux.loss_ce: 0.1206, aux.acc_seg: 70.8776, loss: 0.4026 +2022-02-28 00:27:40,916 - mmseg - INFO - Iter [43900/160000] lr: 1.451e-05, eta: 8:03:54, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2652, decode.acc_seg: 72.6411, aux.loss_ce: 0.1158, aux.acc_seg: 72.0628, loss: 0.3810 +2022-02-28 00:27:53,096 - mmseg - INFO - Iter [43950/160000] lr: 1.451e-05, eta: 8:03:41, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2538, decode.acc_seg: 71.7722, aux.loss_ce: 0.1100, aux.acc_seg: 71.1479, loss: 0.3637 +2022-02-28 00:28:05,324 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 00:28:05,324 - mmseg - INFO - Iter [44000/160000] lr: 1.450e-05, eta: 8:03:28, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2680, decode.acc_seg: 71.6707, aux.loss_ce: 0.1128, aux.acc_seg: 71.2859, loss: 0.3808 +2022-02-28 00:28:17,556 - mmseg - INFO - Iter [44050/160000] lr: 1.449e-05, eta: 8:03:14, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2526, decode.acc_seg: 73.0827, aux.loss_ce: 0.1094, aux.acc_seg: 72.5249, loss: 0.3619 +2022-02-28 00:28:29,830 - mmseg - INFO - Iter [44100/160000] lr: 1.449e-05, eta: 8:03:01, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2653, decode.acc_seg: 72.6545, aux.loss_ce: 0.1141, aux.acc_seg: 72.2644, loss: 0.3794 +2022-02-28 00:28:42,108 - mmseg - INFO - Iter [44150/160000] lr: 1.448e-05, eta: 8:02:48, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2790, decode.acc_seg: 71.7720, aux.loss_ce: 0.1209, aux.acc_seg: 71.2079, loss: 0.3999 +2022-02-28 00:28:54,303 - mmseg - INFO - Iter [44200/160000] lr: 1.448e-05, eta: 8:02:35, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2797, decode.acc_seg: 72.3319, aux.loss_ce: 0.1182, aux.acc_seg: 72.0443, loss: 0.3979 +2022-02-28 00:29:08,915 - mmseg - INFO - Iter [44250/160000] lr: 1.447e-05, eta: 8:02:28, time: 0.292, data_time: 0.050, memory: 56778, decode.loss_ce: 0.2789, decode.acc_seg: 72.9313, aux.loss_ce: 0.1183, aux.acc_seg: 72.4570, loss: 0.3972 +2022-02-28 00:29:21,228 - mmseg - INFO - Iter [44300/160000] lr: 1.446e-05, eta: 8:02:15, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2669, decode.acc_seg: 72.0922, aux.loss_ce: 0.1141, aux.acc_seg: 71.6390, loss: 0.3810 +2022-02-28 00:29:33,533 - mmseg - INFO - Iter [44350/160000] lr: 1.446e-05, eta: 8:02:02, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2668, decode.acc_seg: 71.5077, aux.loss_ce: 0.1161, aux.acc_seg: 70.9453, loss: 0.3829 +2022-02-28 00:29:45,753 - mmseg - INFO - Iter [44400/160000] lr: 1.445e-05, eta: 8:01:49, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2730, decode.acc_seg: 71.7983, aux.loss_ce: 0.1187, aux.acc_seg: 71.1797, loss: 0.3917 +2022-02-28 00:29:58,058 - mmseg - INFO - Iter [44450/160000] lr: 1.444e-05, eta: 8:01:36, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2655, decode.acc_seg: 71.4261, aux.loss_ce: 0.1150, aux.acc_seg: 70.9162, loss: 0.3805 +2022-02-28 00:30:10,217 - mmseg - INFO - Iter [44500/160000] lr: 1.444e-05, eta: 8:01:22, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2581, decode.acc_seg: 71.9722, aux.loss_ce: 0.1123, aux.acc_seg: 71.4217, loss: 0.3703 +2022-02-28 00:30:22,738 - mmseg - INFO - Iter [44550/160000] lr: 1.443e-05, eta: 8:01:10, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2755, decode.acc_seg: 72.2934, aux.loss_ce: 0.1179, aux.acc_seg: 71.8305, loss: 0.3934 +2022-02-28 00:30:35,223 - mmseg - INFO - Iter [44600/160000] lr: 1.443e-05, eta: 8:00:57, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2581, decode.acc_seg: 72.6454, aux.loss_ce: 0.1125, aux.acc_seg: 72.0026, loss: 0.3706 +2022-02-28 00:30:47,743 - mmseg - INFO - Iter [44650/160000] lr: 1.442e-05, eta: 8:00:45, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2668, decode.acc_seg: 71.8609, aux.loss_ce: 0.1143, aux.acc_seg: 71.3635, loss: 0.3811 +2022-02-28 00:31:00,066 - mmseg - INFO - Iter [44700/160000] lr: 1.441e-05, eta: 8:00:32, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2779, decode.acc_seg: 72.3347, aux.loss_ce: 0.1191, aux.acc_seg: 71.8669, loss: 0.3970 +2022-02-28 00:31:12,222 - mmseg - INFO - Iter [44750/160000] lr: 1.441e-05, eta: 8:00:18, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2591, decode.acc_seg: 73.9529, aux.loss_ce: 0.1130, aux.acc_seg: 73.3530, loss: 0.3722 +2022-02-28 00:31:24,595 - mmseg - INFO - Iter [44800/160000] lr: 1.440e-05, eta: 8:00:06, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2475, decode.acc_seg: 72.6626, aux.loss_ce: 0.1077, aux.acc_seg: 72.1243, loss: 0.3551 +2022-02-28 00:31:36,920 - mmseg - INFO - Iter [44850/160000] lr: 1.439e-05, eta: 7:59:53, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2543, decode.acc_seg: 71.1717, aux.loss_ce: 0.1099, aux.acc_seg: 70.6609, loss: 0.3642 +2022-02-28 00:31:49,134 - mmseg - INFO - Iter [44900/160000] lr: 1.439e-05, eta: 7:59:39, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2517, decode.acc_seg: 73.7238, aux.loss_ce: 0.1098, aux.acc_seg: 73.2183, loss: 0.3616 +2022-02-28 00:32:01,515 - mmseg - INFO - Iter [44950/160000] lr: 1.438e-05, eta: 7:59:27, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2607, decode.acc_seg: 73.3331, aux.loss_ce: 0.1116, aux.acc_seg: 72.9262, loss: 0.3723 +2022-02-28 00:32:13,924 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 00:32:13,925 - mmseg - INFO - Iter [45000/160000] lr: 1.438e-05, eta: 7:59:14, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2511, decode.acc_seg: 71.7711, aux.loss_ce: 0.1078, aux.acc_seg: 71.2693, loss: 0.3589 +2022-02-28 00:32:26,165 - mmseg - INFO - Iter [45050/160000] lr: 1.437e-05, eta: 7:59:01, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2773, decode.acc_seg: 71.9313, aux.loss_ce: 0.1188, aux.acc_seg: 71.4985, loss: 0.3961 +2022-02-28 00:32:38,535 - mmseg - INFO - Iter [45100/160000] lr: 1.436e-05, eta: 7:58:48, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2671, decode.acc_seg: 72.7571, aux.loss_ce: 0.1151, aux.acc_seg: 72.2001, loss: 0.3822 +2022-02-28 00:32:50,851 - mmseg - INFO - Iter [45150/160000] lr: 1.436e-05, eta: 7:58:35, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2930, decode.acc_seg: 72.2998, aux.loss_ce: 0.1243, aux.acc_seg: 71.8928, loss: 0.4173 +2022-02-28 00:33:03,227 - mmseg - INFO - Iter [45200/160000] lr: 1.435e-05, eta: 7:58:22, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2684, decode.acc_seg: 72.8874, aux.loss_ce: 0.1156, aux.acc_seg: 72.5148, loss: 0.3839 +2022-02-28 00:33:15,523 - mmseg - INFO - Iter [45250/160000] lr: 1.434e-05, eta: 7:58:09, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2627, decode.acc_seg: 71.5919, aux.loss_ce: 0.1131, aux.acc_seg: 71.1399, loss: 0.3757 +2022-02-28 00:33:27,951 - mmseg - INFO - Iter [45300/160000] lr: 1.434e-05, eta: 7:57:56, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2806, decode.acc_seg: 72.0882, aux.loss_ce: 0.1187, aux.acc_seg: 71.7801, loss: 0.3993 +2022-02-28 00:33:40,115 - mmseg - INFO - Iter [45350/160000] lr: 1.433e-05, eta: 7:57:43, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2630, decode.acc_seg: 74.1590, aux.loss_ce: 0.1132, aux.acc_seg: 73.6577, loss: 0.3762 +2022-02-28 00:33:52,384 - mmseg - INFO - Iter [45400/160000] lr: 1.433e-05, eta: 7:57:30, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2710, decode.acc_seg: 73.7037, aux.loss_ce: 0.1172, aux.acc_seg: 73.1185, loss: 0.3881 +2022-02-28 00:34:04,694 - mmseg - INFO - Iter [45450/160000] lr: 1.432e-05, eta: 7:57:17, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2571, decode.acc_seg: 71.5657, aux.loss_ce: 0.1116, aux.acc_seg: 71.0092, loss: 0.3687 +2022-02-28 00:34:19,264 - mmseg - INFO - Iter [45500/160000] lr: 1.431e-05, eta: 7:57:10, time: 0.291, data_time: 0.048, memory: 56778, decode.loss_ce: 0.2681, decode.acc_seg: 72.1668, aux.loss_ce: 0.1147, aux.acc_seg: 71.6930, loss: 0.3827 +2022-02-28 00:34:31,464 - mmseg - INFO - Iter [45550/160000] lr: 1.431e-05, eta: 7:56:56, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2586, decode.acc_seg: 72.9076, aux.loss_ce: 0.1101, aux.acc_seg: 72.4800, loss: 0.3687 +2022-02-28 00:34:43,830 - mmseg - INFO - Iter [45600/160000] lr: 1.430e-05, eta: 7:56:43, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2654, decode.acc_seg: 71.9211, aux.loss_ce: 0.1130, aux.acc_seg: 71.5410, loss: 0.3784 +2022-02-28 00:34:56,088 - mmseg - INFO - Iter [45650/160000] lr: 1.429e-05, eta: 7:56:30, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2687, decode.acc_seg: 72.9246, aux.loss_ce: 0.1146, aux.acc_seg: 72.4296, loss: 0.3833 +2022-02-28 00:35:08,397 - mmseg - INFO - Iter [45700/160000] lr: 1.429e-05, eta: 7:56:17, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2487, decode.acc_seg: 72.0803, aux.loss_ce: 0.1064, aux.acc_seg: 71.5910, loss: 0.3551 +2022-02-28 00:35:20,721 - mmseg - INFO - Iter [45750/160000] lr: 1.428e-05, eta: 7:56:04, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2448, decode.acc_seg: 72.4872, aux.loss_ce: 0.1049, aux.acc_seg: 72.1106, loss: 0.3497 +2022-02-28 00:35:33,131 - mmseg - INFO - Iter [45800/160000] lr: 1.428e-05, eta: 7:55:52, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2584, decode.acc_seg: 72.0417, aux.loss_ce: 0.1114, aux.acc_seg: 71.5368, loss: 0.3698 +2022-02-28 00:35:45,432 - mmseg - INFO - Iter [45850/160000] lr: 1.427e-05, eta: 7:55:39, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2646, decode.acc_seg: 72.5432, aux.loss_ce: 0.1139, aux.acc_seg: 72.0328, loss: 0.3785 +2022-02-28 00:35:57,615 - mmseg - INFO - Iter [45900/160000] lr: 1.426e-05, eta: 7:55:25, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2574, decode.acc_seg: 70.8854, aux.loss_ce: 0.1117, aux.acc_seg: 70.3937, loss: 0.3691 +2022-02-28 00:36:09,962 - mmseg - INFO - Iter [45950/160000] lr: 1.426e-05, eta: 7:55:12, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2596, decode.acc_seg: 72.7558, aux.loss_ce: 0.1126, aux.acc_seg: 72.2161, loss: 0.3722 +2022-02-28 00:36:22,319 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 00:36:22,319 - mmseg - INFO - Iter [46000/160000] lr: 1.425e-05, eta: 7:55:00, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2589, decode.acc_seg: 72.8345, aux.loss_ce: 0.1130, aux.acc_seg: 72.1864, loss: 0.3719 +2022-02-28 00:36:34,561 - mmseg - INFO - Iter [46050/160000] lr: 1.424e-05, eta: 7:54:47, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2443, decode.acc_seg: 73.1712, aux.loss_ce: 0.1068, aux.acc_seg: 72.6445, loss: 0.3512 +2022-02-28 00:36:46,746 - mmseg - INFO - Iter [46100/160000] lr: 1.424e-05, eta: 7:54:33, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2461, decode.acc_seg: 73.9541, aux.loss_ce: 0.1067, aux.acc_seg: 73.4660, loss: 0.3528 +2022-02-28 00:36:59,224 - mmseg - INFO - Iter [46150/160000] lr: 1.423e-05, eta: 7:54:21, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2733, decode.acc_seg: 72.5649, aux.loss_ce: 0.1195, aux.acc_seg: 71.9642, loss: 0.3928 +2022-02-28 00:37:11,424 - mmseg - INFO - Iter [46200/160000] lr: 1.423e-05, eta: 7:54:07, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2645, decode.acc_seg: 71.5606, aux.loss_ce: 0.1155, aux.acc_seg: 71.0638, loss: 0.3800 +2022-02-28 00:37:23,580 - mmseg - INFO - Iter [46250/160000] lr: 1.422e-05, eta: 7:53:54, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2530, decode.acc_seg: 73.1231, aux.loss_ce: 0.1084, aux.acc_seg: 72.6354, loss: 0.3614 +2022-02-28 00:37:35,776 - mmseg - INFO - Iter [46300/160000] lr: 1.421e-05, eta: 7:53:41, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2643, decode.acc_seg: 72.8661, aux.loss_ce: 0.1142, aux.acc_seg: 72.3322, loss: 0.3785 +2022-02-28 00:37:48,117 - mmseg - INFO - Iter [46350/160000] lr: 1.421e-05, eta: 7:53:28, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2596, decode.acc_seg: 71.9224, aux.loss_ce: 0.1108, aux.acc_seg: 71.5050, loss: 0.3704 +2022-02-28 00:38:00,322 - mmseg - INFO - Iter [46400/160000] lr: 1.420e-05, eta: 7:53:15, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2564, decode.acc_seg: 71.3123, aux.loss_ce: 0.1099, aux.acc_seg: 70.9359, loss: 0.3662 +2022-02-28 00:38:12,543 - mmseg - INFO - Iter [46450/160000] lr: 1.419e-05, eta: 7:53:02, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2437, decode.acc_seg: 72.3280, aux.loss_ce: 0.1048, aux.acc_seg: 71.8486, loss: 0.3485 +2022-02-28 00:38:24,779 - mmseg - INFO - Iter [46500/160000] lr: 1.419e-05, eta: 7:52:48, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2517, decode.acc_seg: 73.7628, aux.loss_ce: 0.1088, aux.acc_seg: 73.2751, loss: 0.3605 +2022-02-28 00:38:37,044 - mmseg - INFO - Iter [46550/160000] lr: 1.418e-05, eta: 7:52:35, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2633, decode.acc_seg: 71.9857, aux.loss_ce: 0.1131, aux.acc_seg: 71.4564, loss: 0.3763 +2022-02-28 00:38:49,366 - mmseg - INFO - Iter [46600/160000] lr: 1.418e-05, eta: 7:52:22, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2687, decode.acc_seg: 72.9141, aux.loss_ce: 0.1166, aux.acc_seg: 72.3383, loss: 0.3854 +2022-02-28 00:39:01,651 - mmseg - INFO - Iter [46650/160000] lr: 1.417e-05, eta: 7:52:09, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2528, decode.acc_seg: 72.0356, aux.loss_ce: 0.1091, aux.acc_seg: 71.3871, loss: 0.3619 +2022-02-28 00:39:14,128 - mmseg - INFO - Iter [46700/160000] lr: 1.416e-05, eta: 7:51:57, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2617, decode.acc_seg: 72.6277, aux.loss_ce: 0.1117, aux.acc_seg: 72.1494, loss: 0.3734 +2022-02-28 00:39:28,687 - mmseg - INFO - Iter [46750/160000] lr: 1.416e-05, eta: 7:51:49, time: 0.291, data_time: 0.049, memory: 56778, decode.loss_ce: 0.2607, decode.acc_seg: 72.4820, aux.loss_ce: 0.1126, aux.acc_seg: 71.9921, loss: 0.3733 +2022-02-28 00:39:40,880 - mmseg - INFO - Iter [46800/160000] lr: 1.415e-05, eta: 7:51:36, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2645, decode.acc_seg: 71.6778, aux.loss_ce: 0.1150, aux.acc_seg: 71.0384, loss: 0.3795 +2022-02-28 00:39:53,075 - mmseg - INFO - Iter [46850/160000] lr: 1.414e-05, eta: 7:51:23, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2381, decode.acc_seg: 72.8590, aux.loss_ce: 0.1033, aux.acc_seg: 72.3752, loss: 0.3414 +2022-02-28 00:40:05,354 - mmseg - INFO - Iter [46900/160000] lr: 1.414e-05, eta: 7:51:10, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2662, decode.acc_seg: 72.9641, aux.loss_ce: 0.1154, aux.acc_seg: 72.3581, loss: 0.3816 +2022-02-28 00:40:17,699 - mmseg - INFO - Iter [46950/160000] lr: 1.413e-05, eta: 7:50:57, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2570, decode.acc_seg: 72.9436, aux.loss_ce: 0.1111, aux.acc_seg: 72.5094, loss: 0.3681 +2022-02-28 00:40:30,114 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 00:40:30,114 - mmseg - INFO - Iter [47000/160000] lr: 1.413e-05, eta: 7:50:44, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2576, decode.acc_seg: 71.4320, aux.loss_ce: 0.1118, aux.acc_seg: 70.8868, loss: 0.3694 +2022-02-28 00:40:42,351 - mmseg - INFO - Iter [47050/160000] lr: 1.412e-05, eta: 7:50:31, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2604, decode.acc_seg: 72.6678, aux.loss_ce: 0.1135, aux.acc_seg: 72.0975, loss: 0.3740 +2022-02-28 00:40:54,841 - mmseg - INFO - Iter [47100/160000] lr: 1.411e-05, eta: 7:50:19, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2548, decode.acc_seg: 72.2887, aux.loss_ce: 0.1096, aux.acc_seg: 71.6216, loss: 0.3644 +2022-02-28 00:41:07,002 - mmseg - INFO - Iter [47150/160000] lr: 1.411e-05, eta: 7:50:05, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2685, decode.acc_seg: 72.0044, aux.loss_ce: 0.1141, aux.acc_seg: 71.5861, loss: 0.3826 +2022-02-28 00:41:19,392 - mmseg - INFO - Iter [47200/160000] lr: 1.410e-05, eta: 7:49:53, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2689, decode.acc_seg: 72.2715, aux.loss_ce: 0.1146, aux.acc_seg: 71.9394, loss: 0.3835 +2022-02-28 00:41:31,716 - mmseg - INFO - Iter [47250/160000] lr: 1.409e-05, eta: 7:49:40, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2646, decode.acc_seg: 72.5208, aux.loss_ce: 0.1140, aux.acc_seg: 72.0565, loss: 0.3786 +2022-02-28 00:41:44,306 - mmseg - INFO - Iter [47300/160000] lr: 1.409e-05, eta: 7:49:27, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2726, decode.acc_seg: 71.2782, aux.loss_ce: 0.1158, aux.acc_seg: 70.8438, loss: 0.3885 +2022-02-28 00:41:56,547 - mmseg - INFO - Iter [47350/160000] lr: 1.408e-05, eta: 7:49:14, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2595, decode.acc_seg: 73.4847, aux.loss_ce: 0.1122, aux.acc_seg: 73.0190, loss: 0.3717 +2022-02-28 00:42:09,002 - mmseg - INFO - Iter [47400/160000] lr: 1.408e-05, eta: 7:49:02, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2696, decode.acc_seg: 73.8639, aux.loss_ce: 0.1143, aux.acc_seg: 73.4852, loss: 0.3839 +2022-02-28 00:42:21,219 - mmseg - INFO - Iter [47450/160000] lr: 1.407e-05, eta: 7:48:49, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2395, decode.acc_seg: 72.4161, aux.loss_ce: 0.1046, aux.acc_seg: 71.9238, loss: 0.3441 +2022-02-28 00:42:33,651 - mmseg - INFO - Iter [47500/160000] lr: 1.406e-05, eta: 7:48:36, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2413, decode.acc_seg: 73.4455, aux.loss_ce: 0.1056, aux.acc_seg: 72.9614, loss: 0.3469 +2022-02-28 00:42:45,875 - mmseg - INFO - Iter [47550/160000] lr: 1.406e-05, eta: 7:48:23, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2486, decode.acc_seg: 72.8018, aux.loss_ce: 0.1079, aux.acc_seg: 72.2576, loss: 0.3565 +2022-02-28 00:42:58,200 - mmseg - INFO - Iter [47600/160000] lr: 1.405e-05, eta: 7:48:10, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2411, decode.acc_seg: 72.6075, aux.loss_ce: 0.1041, aux.acc_seg: 72.0166, loss: 0.3452 +2022-02-28 00:43:10,439 - mmseg - INFO - Iter [47650/160000] lr: 1.404e-05, eta: 7:47:57, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2589, decode.acc_seg: 72.2189, aux.loss_ce: 0.1134, aux.acc_seg: 71.6058, loss: 0.3723 +2022-02-28 00:43:22,727 - mmseg - INFO - Iter [47700/160000] lr: 1.404e-05, eta: 7:47:44, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2609, decode.acc_seg: 71.4369, aux.loss_ce: 0.1128, aux.acc_seg: 70.9479, loss: 0.3737 +2022-02-28 00:43:34,877 - mmseg - INFO - Iter [47750/160000] lr: 1.403e-05, eta: 7:47:31, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2486, decode.acc_seg: 71.4298, aux.loss_ce: 0.1089, aux.acc_seg: 70.7980, loss: 0.3575 +2022-02-28 00:43:47,077 - mmseg - INFO - Iter [47800/160000] lr: 1.403e-05, eta: 7:47:17, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2474, decode.acc_seg: 71.7023, aux.loss_ce: 0.1069, aux.acc_seg: 71.1422, loss: 0.3544 +2022-02-28 00:43:59,261 - mmseg - INFO - Iter [47850/160000] lr: 1.402e-05, eta: 7:47:04, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2481, decode.acc_seg: 73.5326, aux.loss_ce: 0.1086, aux.acc_seg: 72.9117, loss: 0.3567 +2022-02-28 00:44:11,479 - mmseg - INFO - Iter [47900/160000] lr: 1.401e-05, eta: 7:46:51, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2687, decode.acc_seg: 71.9201, aux.loss_ce: 0.1149, aux.acc_seg: 71.4595, loss: 0.3835 +2022-02-28 00:44:23,897 - mmseg - INFO - Iter [47950/160000] lr: 1.401e-05, eta: 7:46:38, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2421, decode.acc_seg: 72.8312, aux.loss_ce: 0.1040, aux.acc_seg: 72.3626, loss: 0.3461 +2022-02-28 00:44:38,388 - mmseg - INFO - Saving checkpoint at 48000 iterations +2022-02-28 00:44:41,639 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 00:44:41,639 - mmseg - INFO - Iter [48000/160000] lr: 1.400e-05, eta: 7:46:38, time: 0.355, data_time: 0.048, memory: 56778, decode.loss_ce: 0.2562, decode.acc_seg: 72.5389, aux.loss_ce: 0.1112, aux.acc_seg: 71.9430, loss: 0.3674 +2022-02-28 00:45:02,325 - mmseg - INFO - per class results: +2022-02-28 00:45:02,331 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 77.32 | 87.09 | +| building | 82.07 | 92.95 | +| sky | 94.31 | 97.42 | +| floor | 81.04 | 88.49 | +| tree | 74.67 | 88.22 | +| ceiling | 82.54 | 89.66 | +| road | 81.87 | 85.78 | +| bed | 89.02 | 96.25 | +| windowpane | 60.86 | 75.49 | +| grass | 65.6 | 84.09 | +| cabinet | 59.82 | 71.69 | +| sidewalk | 64.44 | 84.69 | +| person | 80.82 | 90.72 | +| earth | 32.96 | 43.0 | +| door | 49.71 | 67.85 | +| table | 60.38 | 81.61 | +| mountain | 60.1 | 74.66 | +| plant | 50.97 | 64.14 | +| curtain | 74.62 | 84.71 | +| chair | 56.75 | 75.4 | +| car | 83.59 | 91.93 | +| water | 59.89 | 72.48 | +| painting | 69.01 | 89.05 | +| sofa | 65.27 | 73.16 | +| shelf | 42.5 | 67.1 | +| house | 44.45 | 57.95 | +| sea | 68.1 | 83.73 | +| mirror | 66.27 | 74.69 | +| rug | 69.3 | 84.75 | +| field | 28.23 | 44.44 | +| armchair | 45.87 | 75.55 | +| seat | 62.94 | 82.99 | +| fence | 46.02 | 65.92 | +| desk | 45.15 | 70.11 | +| rock | 49.22 | 73.8 | +| wardrobe | 46.94 | 62.96 | +| lamp | 61.76 | 76.3 | +| bathtub | 80.1 | 85.45 | +| railing | 36.87 | 48.81 | +| cushion | 59.09 | 75.95 | +| base | 34.82 | 62.36 | +| box | 21.44 | 25.65 | +| column | 45.42 | 60.62 | +| signboard | 34.88 | 45.97 | +| chest of drawers | 34.81 | 59.71 | +| counter | 34.39 | 44.85 | +| sand | 47.28 | 76.83 | +| sink | 70.08 | 81.02 | +| skyscraper | 59.62 | 76.31 | +| fireplace | 73.06 | 92.88 | +| refrigerator | 76.52 | 80.1 | +| grandstand | 38.69 | 72.32 | +| path | 29.97 | 50.44 | +| stairs | 26.32 | 33.54 | +| runway | 70.72 | 98.72 | +| case | 57.68 | 63.09 | +| pool table | 92.52 | 96.91 | +| pillow | 60.16 | 73.57 | +| screen door | 63.6 | 66.04 | +| stairway | 28.4 | 36.25 | +| river | 8.23 | 16.8 | +| bridge | 38.05 | 42.88 | +| bookcase | 40.6 | 57.35 | +| blind | 44.3 | 55.75 | +| coffee table | 62.45 | 76.46 | +| toilet | 86.02 | 90.57 | +| flower | 37.53 | 55.76 | +| book | 46.02 | 65.86 | +| hill | 7.62 | 14.03 | +| bench | 39.6 | 47.49 | +| countertop | 56.28 | 73.84 | +| stove | 76.75 | 85.89 | +| palm | 53.97 | 79.79 | +| kitchen island | 42.08 | 64.55 | +| computer | 69.77 | 81.31 | +| swivel chair | 46.25 | 59.3 | +| boat | 42.84 | 52.51 | +| bar | 27.49 | 31.31 | +| arcade machine | 63.0 | 65.61 | +| hovel | 61.29 | 68.66 | +| bus | 82.46 | 92.91 | +| towel | 66.74 | 73.47 | +| light | 46.41 | 49.39 | +| truck | 32.05 | 39.39 | +| tower | 30.76 | 43.54 | +| chandelier | 66.66 | 82.93 | +| awning | 28.28 | 33.12 | +| streetlight | 22.48 | 28.05 | +| booth | 53.29 | 58.91 | +| television receiver | 67.92 | 80.74 | +| airplane | 58.33 | 62.02 | +| dirt track | 5.4 | 34.08 | +| apparel | 32.47 | 38.64 | +| pole | 23.43 | 33.64 | +| land | 3.72 | 5.48 | +| bannister | 15.16 | 21.31 | +| escalator | 45.34 | 66.9 | +| ottoman | 51.65 | 63.0 | +| bottle | 36.25 | 57.92 | +| buffet | 42.89 | 46.59 | +| poster | 30.97 | 38.15 | +| stage | 15.67 | 20.85 | +| van | 46.59 | 62.49 | +| ship | 5.82 | 9.01 | +| fountain | 23.96 | 24.4 | +| conveyer belt | 76.97 | 85.53 | +| canopy | 27.84 | 41.58 | +| washer | 72.79 | 73.37 | +| plaything | 28.27 | 38.81 | +| swimming pool | 56.97 | 76.18 | +| stool | 40.55 | 54.47 | +| barrel | 54.44 | 65.04 | +| basket | 36.99 | 52.98 | +| waterfall | 57.55 | 72.69 | +| tent | 77.66 | 98.74 | +| bag | 8.62 | 9.82 | +| minibike | 69.67 | 82.37 | +| cradle | 81.38 | 97.04 | +| oven | 35.21 | 55.63 | +| ball | 47.47 | 67.89 | +| food | 55.67 | 66.08 | +| step | 10.47 | 11.92 | +| tank | 49.32 | 50.88 | +| trade name | 15.25 | 16.0 | +| microwave | 71.01 | 79.38 | +| pot | 44.65 | 54.5 | +| animal | 63.22 | 66.68 | +| bicycle | 55.89 | 82.59 | +| lake | 42.58 | 79.83 | +| dishwasher | 59.55 | 68.06 | +| screen | 54.87 | 76.67 | +| blanket | 18.32 | 24.65 | +| sculpture | 63.3 | 83.16 | +| hood | 60.79 | 72.24 | +| sconce | 37.85 | 43.25 | +| vase | 40.4 | 56.28 | +| traffic light | 28.29 | 49.57 | +| tray | 8.79 | 18.16 | +| ashcan | 43.55 | 51.99 | +| fan | 58.05 | 76.93 | +| pier | 33.64 | 41.86 | +| crt screen | 6.2 | 9.97 | +| plate | 53.46 | 71.98 | +| monitor | 38.82 | 61.66 | +| bulletin board | 43.03 | 49.81 | +| shower | 0.0 | 0.0 | +| radiator | 63.57 | 77.01 | +| glass | 12.55 | 13.22 | +| clock | 29.47 | 34.18 | +| flag | 66.17 | 70.92 | ++---------------------+-------+-------+ +2022-02-28 00:45:02,331 - mmseg - INFO - Summary: +2022-02-28 00:45:02,332 - mmseg - INFO - ++------+-------+-------+ +| aAcc | mIoU | mAcc | ++------+-------+-------+ +| 82.8 | 49.31 | 61.75 | ++------+-------+-------+ +2022-02-28 00:45:02,338 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 00:45:02,338 - mmseg - INFO - Iter(val) [250] aAcc: 0.8280, mIoU: 0.4931, mAcc: 0.6175, IoU.wall: 0.7732, IoU.building: 0.8207, IoU.sky: 0.9431, IoU.floor: 0.8104, IoU.tree: 0.7467, IoU.ceiling: 0.8254, IoU.road: 0.8187, IoU.bed : 0.8902, IoU.windowpane: 0.6086, IoU.grass: 0.6560, IoU.cabinet: 0.5982, IoU.sidewalk: 0.6444, IoU.person: 0.8082, IoU.earth: 0.3296, IoU.door: 0.4971, IoU.table: 0.6038, IoU.mountain: 0.6010, IoU.plant: 0.5097, IoU.curtain: 0.7462, IoU.chair: 0.5675, IoU.car: 0.8359, IoU.water: 0.5989, IoU.painting: 0.6901, IoU.sofa: 0.6527, IoU.shelf: 0.4250, IoU.house: 0.4445, IoU.sea: 0.6810, IoU.mirror: 0.6627, IoU.rug: 0.6930, IoU.field: 0.2823, IoU.armchair: 0.4587, IoU.seat: 0.6294, IoU.fence: 0.4602, IoU.desk: 0.4515, IoU.rock: 0.4922, IoU.wardrobe: 0.4694, IoU.lamp: 0.6176, IoU.bathtub: 0.8010, IoU.railing: 0.3687, IoU.cushion: 0.5909, IoU.base: 0.3482, IoU.box: 0.2144, IoU.column: 0.4542, IoU.signboard: 0.3488, IoU.chest of drawers: 0.3481, IoU.counter: 0.3439, IoU.sand: 0.4728, IoU.sink: 0.7008, IoU.skyscraper: 0.5962, IoU.fireplace: 0.7306, IoU.refrigerator: 0.7652, IoU.grandstand: 0.3869, IoU.path: 0.2997, IoU.stairs: 0.2632, IoU.runway: 0.7072, IoU.case: 0.5768, IoU.pool table: 0.9252, IoU.pillow: 0.6016, IoU.screen door: 0.6360, IoU.stairway: 0.2840, IoU.river: 0.0823, IoU.bridge: 0.3805, IoU.bookcase: 0.4060, IoU.blind: 0.4430, IoU.coffee table: 0.6245, IoU.toilet: 0.8602, IoU.flower: 0.3753, IoU.book: 0.4602, IoU.hill: 0.0762, IoU.bench: 0.3960, IoU.countertop: 0.5628, IoU.stove: 0.7675, IoU.palm: 0.5397, IoU.kitchen island: 0.4208, IoU.computer: 0.6977, IoU.swivel chair: 0.4625, IoU.boat: 0.4284, IoU.bar: 0.2749, IoU.arcade machine: 0.6300, IoU.hovel: 0.6129, IoU.bus: 0.8246, IoU.towel: 0.6674, IoU.light: 0.4641, IoU.truck: 0.3205, IoU.tower: 0.3076, IoU.chandelier: 0.6666, IoU.awning: 0.2828, IoU.streetlight: 0.2248, IoU.booth: 0.5329, IoU.television receiver: 0.6792, IoU.airplane: 0.5833, IoU.dirt track: 0.0540, IoU.apparel: 0.3247, IoU.pole: 0.2343, IoU.land: 0.0372, IoU.bannister: 0.1516, IoU.escalator: 0.4534, IoU.ottoman: 0.5165, IoU.bottle: 0.3625, IoU.buffet: 0.4289, IoU.poster: 0.3097, IoU.stage: 0.1567, IoU.van: 0.4659, IoU.ship: 0.0582, IoU.fountain: 0.2396, IoU.conveyer belt: 0.7697, IoU.canopy: 0.2784, IoU.washer: 0.7279, IoU.plaything: 0.2827, IoU.swimming pool: 0.5697, IoU.stool: 0.4055, IoU.barrel: 0.5444, IoU.basket: 0.3699, IoU.waterfall: 0.5755, IoU.tent: 0.7766, IoU.bag: 0.0862, IoU.minibike: 0.6967, IoU.cradle: 0.8138, IoU.oven: 0.3521, IoU.ball: 0.4747, IoU.food: 0.5567, IoU.step: 0.1047, IoU.tank: 0.4932, IoU.trade name: 0.1525, IoU.microwave: 0.7101, IoU.pot: 0.4465, IoU.animal: 0.6322, IoU.bicycle: 0.5589, IoU.lake: 0.4258, IoU.dishwasher: 0.5955, IoU.screen: 0.5487, IoU.blanket: 0.1832, IoU.sculpture: 0.6330, IoU.hood: 0.6079, IoU.sconce: 0.3785, IoU.vase: 0.4040, IoU.traffic light: 0.2829, IoU.tray: 0.0879, IoU.ashcan: 0.4355, IoU.fan: 0.5805, IoU.pier: 0.3364, IoU.crt screen: 0.0620, IoU.plate: 0.5346, IoU.monitor: 0.3882, IoU.bulletin board: 0.4303, IoU.shower: 0.0000, IoU.radiator: 0.6357, IoU.glass: 0.1255, IoU.clock: 0.2947, IoU.flag: 0.6617, Acc.wall: 0.8709, Acc.building: 0.9295, Acc.sky: 0.9742, Acc.floor: 0.8849, Acc.tree: 0.8822, Acc.ceiling: 0.8966, Acc.road: 0.8578, Acc.bed : 0.9625, Acc.windowpane: 0.7549, Acc.grass: 0.8409, Acc.cabinet: 0.7169, Acc.sidewalk: 0.8469, Acc.person: 0.9072, Acc.earth: 0.4300, Acc.door: 0.6785, Acc.table: 0.8161, Acc.mountain: 0.7466, Acc.plant: 0.6414, Acc.curtain: 0.8471, Acc.chair: 0.7540, Acc.car: 0.9193, Acc.water: 0.7248, Acc.painting: 0.8905, Acc.sofa: 0.7316, Acc.shelf: 0.6710, Acc.house: 0.5795, Acc.sea: 0.8373, Acc.mirror: 0.7469, Acc.rug: 0.8475, Acc.field: 0.4444, Acc.armchair: 0.7555, Acc.seat: 0.8299, Acc.fence: 0.6592, Acc.desk: 0.7011, Acc.rock: 0.7380, Acc.wardrobe: 0.6296, Acc.lamp: 0.7630, Acc.bathtub: 0.8545, Acc.railing: 0.4881, Acc.cushion: 0.7595, Acc.base: 0.6236, Acc.box: 0.2565, Acc.column: 0.6062, Acc.signboard: 0.4597, Acc.chest of drawers: 0.5971, Acc.counter: 0.4485, Acc.sand: 0.7683, Acc.sink: 0.8102, Acc.skyscraper: 0.7631, Acc.fireplace: 0.9288, Acc.refrigerator: 0.8010, Acc.grandstand: 0.7232, Acc.path: 0.5044, Acc.stairs: 0.3354, Acc.runway: 0.9872, Acc.case: 0.6309, Acc.pool table: 0.9691, Acc.pillow: 0.7357, Acc.screen door: 0.6604, Acc.stairway: 0.3625, Acc.river: 0.1680, Acc.bridge: 0.4288, Acc.bookcase: 0.5735, Acc.blind: 0.5575, Acc.coffee table: 0.7646, Acc.toilet: 0.9057, Acc.flower: 0.5576, Acc.book: 0.6586, Acc.hill: 0.1403, Acc.bench: 0.4749, Acc.countertop: 0.7384, Acc.stove: 0.8589, Acc.palm: 0.7979, Acc.kitchen island: 0.6455, Acc.computer: 0.8131, Acc.swivel chair: 0.5930, Acc.boat: 0.5251, Acc.bar: 0.3131, Acc.arcade machine: 0.6561, Acc.hovel: 0.6866, Acc.bus: 0.9291, Acc.towel: 0.7347, Acc.light: 0.4939, Acc.truck: 0.3939, Acc.tower: 0.4354, Acc.chandelier: 0.8293, Acc.awning: 0.3312, Acc.streetlight: 0.2805, Acc.booth: 0.5891, Acc.television receiver: 0.8074, Acc.airplane: 0.6202, Acc.dirt track: 0.3408, Acc.apparel: 0.3864, Acc.pole: 0.3364, Acc.land: 0.0548, Acc.bannister: 0.2131, Acc.escalator: 0.6690, Acc.ottoman: 0.6300, Acc.bottle: 0.5792, Acc.buffet: 0.4659, Acc.poster: 0.3815, Acc.stage: 0.2085, Acc.van: 0.6249, Acc.ship: 0.0901, Acc.fountain: 0.2440, Acc.conveyer belt: 0.8553, Acc.canopy: 0.4158, Acc.washer: 0.7337, Acc.plaything: 0.3881, Acc.swimming pool: 0.7618, Acc.stool: 0.5447, Acc.barrel: 0.6504, Acc.basket: 0.5298, Acc.waterfall: 0.7269, Acc.tent: 0.9874, Acc.bag: 0.0982, Acc.minibike: 0.8237, Acc.cradle: 0.9704, Acc.oven: 0.5563, Acc.ball: 0.6789, Acc.food: 0.6608, Acc.step: 0.1192, Acc.tank: 0.5088, Acc.trade name: 0.1600, Acc.microwave: 0.7938, Acc.pot: 0.5450, Acc.animal: 0.6668, Acc.bicycle: 0.8259, Acc.lake: 0.7983, Acc.dishwasher: 0.6806, Acc.screen: 0.7667, Acc.blanket: 0.2465, Acc.sculpture: 0.8316, Acc.hood: 0.7224, Acc.sconce: 0.4325, Acc.vase: 0.5628, Acc.traffic light: 0.4957, Acc.tray: 0.1816, Acc.ashcan: 0.5199, Acc.fan: 0.7693, Acc.pier: 0.4186, Acc.crt screen: 0.0997, Acc.plate: 0.7198, Acc.monitor: 0.6166, Acc.bulletin board: 0.4981, Acc.shower: 0.0000, Acc.radiator: 0.7701, Acc.glass: 0.1322, Acc.clock: 0.3418, Acc.flag: 0.7092 +2022-02-28 00:45:14,799 - mmseg - INFO - Iter [48050/160000] lr: 1.399e-05, eta: 7:47:14, time: 0.663, data_time: 0.418, memory: 56778, decode.loss_ce: 0.2494, decode.acc_seg: 74.1105, aux.loss_ce: 0.1073, aux.acc_seg: 73.6122, loss: 0.3567 +2022-02-28 00:45:27,070 - mmseg - INFO - Iter [48100/160000] lr: 1.399e-05, eta: 7:47:01, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2530, decode.acc_seg: 72.7000, aux.loss_ce: 0.1093, aux.acc_seg: 72.3157, loss: 0.3623 +2022-02-28 00:45:39,298 - mmseg - INFO - Iter [48150/160000] lr: 1.398e-05, eta: 7:46:47, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2791, decode.acc_seg: 71.9889, aux.loss_ce: 0.1187, aux.acc_seg: 71.6420, loss: 0.3979 +2022-02-28 00:45:51,446 - mmseg - INFO - Iter [48200/160000] lr: 1.398e-05, eta: 7:46:34, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2761, decode.acc_seg: 72.3476, aux.loss_ce: 0.1193, aux.acc_seg: 71.7708, loss: 0.3955 +2022-02-28 00:46:03,694 - mmseg - INFO - Iter [48250/160000] lr: 1.397e-05, eta: 7:46:21, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2674, decode.acc_seg: 73.6674, aux.loss_ce: 0.1163, aux.acc_seg: 73.0945, loss: 0.3837 +2022-02-28 00:46:16,033 - mmseg - INFO - Iter [48300/160000] lr: 1.396e-05, eta: 7:46:08, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2428, decode.acc_seg: 72.0873, aux.loss_ce: 0.1064, aux.acc_seg: 71.5241, loss: 0.3493 +2022-02-28 00:46:28,434 - mmseg - INFO - Iter [48350/160000] lr: 1.396e-05, eta: 7:45:55, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2511, decode.acc_seg: 72.0504, aux.loss_ce: 0.1078, aux.acc_seg: 71.6530, loss: 0.3589 +2022-02-28 00:46:40,645 - mmseg - INFO - Iter [48400/160000] lr: 1.395e-05, eta: 7:45:42, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2514, decode.acc_seg: 73.1606, aux.loss_ce: 0.1082, aux.acc_seg: 72.6122, loss: 0.3596 +2022-02-28 00:46:52,921 - mmseg - INFO - Iter [48450/160000] lr: 1.394e-05, eta: 7:45:29, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2601, decode.acc_seg: 72.8079, aux.loss_ce: 0.1119, aux.acc_seg: 72.3294, loss: 0.3721 +2022-02-28 00:47:05,119 - mmseg - INFO - Iter [48500/160000] lr: 1.394e-05, eta: 7:45:16, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2359, decode.acc_seg: 71.8288, aux.loss_ce: 0.1024, aux.acc_seg: 71.4366, loss: 0.3383 +2022-02-28 00:47:17,375 - mmseg - INFO - Iter [48550/160000] lr: 1.393e-05, eta: 7:45:02, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2691, decode.acc_seg: 72.0147, aux.loss_ce: 0.1149, aux.acc_seg: 71.6049, loss: 0.3840 +2022-02-28 00:47:29,574 - mmseg - INFO - Iter [48600/160000] lr: 1.393e-05, eta: 7:44:49, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2674, decode.acc_seg: 71.4933, aux.loss_ce: 0.1158, aux.acc_seg: 70.9640, loss: 0.3832 +2022-02-28 00:47:41,980 - mmseg - INFO - Iter [48650/160000] lr: 1.392e-05, eta: 7:44:36, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2767, decode.acc_seg: 71.8538, aux.loss_ce: 0.1177, aux.acc_seg: 71.4392, loss: 0.3944 +2022-02-28 00:47:54,131 - mmseg - INFO - Iter [48700/160000] lr: 1.391e-05, eta: 7:44:23, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2542, decode.acc_seg: 72.9461, aux.loss_ce: 0.1107, aux.acc_seg: 72.4069, loss: 0.3649 +2022-02-28 00:48:06,412 - mmseg - INFO - Iter [48750/160000] lr: 1.391e-05, eta: 7:44:10, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2440, decode.acc_seg: 73.2797, aux.loss_ce: 0.1054, aux.acc_seg: 72.8196, loss: 0.3495 +2022-02-28 00:48:18,637 - mmseg - INFO - Iter [48800/160000] lr: 1.390e-05, eta: 7:43:57, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2580, decode.acc_seg: 73.1709, aux.loss_ce: 0.1113, aux.acc_seg: 72.6950, loss: 0.3693 +2022-02-28 00:48:30,911 - mmseg - INFO - Iter [48850/160000] lr: 1.389e-05, eta: 7:43:44, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2482, decode.acc_seg: 72.4395, aux.loss_ce: 0.1083, aux.acc_seg: 71.7929, loss: 0.3565 +2022-02-28 00:48:43,117 - mmseg - INFO - Iter [48900/160000] lr: 1.389e-05, eta: 7:43:30, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2434, decode.acc_seg: 72.9548, aux.loss_ce: 0.1050, aux.acc_seg: 72.5320, loss: 0.3484 +2022-02-28 00:48:55,416 - mmseg - INFO - Iter [48950/160000] lr: 1.388e-05, eta: 7:43:17, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2459, decode.acc_seg: 72.8710, aux.loss_ce: 0.1052, aux.acc_seg: 72.4386, loss: 0.3511 +2022-02-28 00:49:07,669 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 00:49:07,669 - mmseg - INFO - Iter [49000/160000] lr: 1.388e-05, eta: 7:43:04, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2484, decode.acc_seg: 72.6240, aux.loss_ce: 0.1072, aux.acc_seg: 72.0537, loss: 0.3556 +2022-02-28 00:49:19,848 - mmseg - INFO - Iter [49050/160000] lr: 1.387e-05, eta: 7:42:51, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2591, decode.acc_seg: 72.3357, aux.loss_ce: 0.1124, aux.acc_seg: 71.8112, loss: 0.3715 +2022-02-28 00:49:32,000 - mmseg - INFO - Iter [49100/160000] lr: 1.386e-05, eta: 7:42:38, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2509, decode.acc_seg: 72.5324, aux.loss_ce: 0.1084, aux.acc_seg: 72.0487, loss: 0.3593 +2022-02-28 00:49:44,383 - mmseg - INFO - Iter [49150/160000] lr: 1.386e-05, eta: 7:42:25, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2571, decode.acc_seg: 71.8575, aux.loss_ce: 0.1103, aux.acc_seg: 71.3425, loss: 0.3674 +2022-02-28 00:49:56,692 - mmseg - INFO - Iter [49200/160000] lr: 1.385e-05, eta: 7:42:12, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2607, decode.acc_seg: 72.8641, aux.loss_ce: 0.1124, aux.acc_seg: 72.4941, loss: 0.3732 +2022-02-28 00:50:08,936 - mmseg - INFO - Iter [49250/160000] lr: 1.384e-05, eta: 7:41:59, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2710, decode.acc_seg: 71.4386, aux.loss_ce: 0.1157, aux.acc_seg: 71.0247, loss: 0.3867 +2022-02-28 00:50:23,681 - mmseg - INFO - Iter [49300/160000] lr: 1.384e-05, eta: 7:41:51, time: 0.295, data_time: 0.049, memory: 56778, decode.loss_ce: 0.2508, decode.acc_seg: 72.8372, aux.loss_ce: 0.1082, aux.acc_seg: 72.3877, loss: 0.3589 +2022-02-28 00:50:36,275 - mmseg - INFO - Iter [49350/160000] lr: 1.383e-05, eta: 7:41:39, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2519, decode.acc_seg: 72.5409, aux.loss_ce: 0.1097, aux.acc_seg: 71.9546, loss: 0.3616 +2022-02-28 00:50:48,444 - mmseg - INFO - Iter [49400/160000] lr: 1.383e-05, eta: 7:41:26, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2413, decode.acc_seg: 72.6602, aux.loss_ce: 0.1054, aux.acc_seg: 72.1430, loss: 0.3467 +2022-02-28 00:51:00,664 - mmseg - INFO - Iter [49450/160000] lr: 1.382e-05, eta: 7:41:13, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2608, decode.acc_seg: 71.7079, aux.loss_ce: 0.1114, aux.acc_seg: 71.2685, loss: 0.3722 +2022-02-28 00:51:13,059 - mmseg - INFO - Iter [49500/160000] lr: 1.381e-05, eta: 7:41:00, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2494, decode.acc_seg: 73.0327, aux.loss_ce: 0.1070, aux.acc_seg: 72.5316, loss: 0.3563 +2022-02-28 00:51:25,396 - mmseg - INFO - Iter [49550/160000] lr: 1.381e-05, eta: 7:40:47, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2504, decode.acc_seg: 71.7303, aux.loss_ce: 0.1091, aux.acc_seg: 71.1427, loss: 0.3595 +2022-02-28 00:51:37,622 - mmseg - INFO - Iter [49600/160000] lr: 1.380e-05, eta: 7:40:34, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2380, decode.acc_seg: 73.4982, aux.loss_ce: 0.1034, aux.acc_seg: 73.0610, loss: 0.3414 +2022-02-28 00:51:49,949 - mmseg - INFO - Iter [49650/160000] lr: 1.379e-05, eta: 7:40:21, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2541, decode.acc_seg: 73.5606, aux.loss_ce: 0.1101, aux.acc_seg: 73.0196, loss: 0.3642 +2022-02-28 00:52:02,512 - mmseg - INFO - Iter [49700/160000] lr: 1.379e-05, eta: 7:40:08, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2572, decode.acc_seg: 71.6599, aux.loss_ce: 0.1118, aux.acc_seg: 71.0851, loss: 0.3689 +2022-02-28 00:52:14,955 - mmseg - INFO - Iter [49750/160000] lr: 1.378e-05, eta: 7:39:56, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2462, decode.acc_seg: 73.0315, aux.loss_ce: 0.1067, aux.acc_seg: 72.4561, loss: 0.3529 +2022-02-28 00:52:27,173 - mmseg - INFO - Iter [49800/160000] lr: 1.378e-05, eta: 7:39:42, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2594, decode.acc_seg: 70.9287, aux.loss_ce: 0.1117, aux.acc_seg: 70.4431, loss: 0.3711 +2022-02-28 00:52:39,378 - mmseg - INFO - Iter [49850/160000] lr: 1.377e-05, eta: 7:39:29, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2456, decode.acc_seg: 72.5828, aux.loss_ce: 0.1060, aux.acc_seg: 72.0119, loss: 0.3516 +2022-02-28 00:52:51,798 - mmseg - INFO - Iter [49900/160000] lr: 1.376e-05, eta: 7:39:17, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2511, decode.acc_seg: 74.0306, aux.loss_ce: 0.1099, aux.acc_seg: 73.5319, loss: 0.3610 +2022-02-28 00:53:03,905 - mmseg - INFO - Iter [49950/160000] lr: 1.376e-05, eta: 7:39:03, time: 0.242, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2429, decode.acc_seg: 72.2093, aux.loss_ce: 0.1051, aux.acc_seg: 71.7234, loss: 0.3480 +2022-02-28 00:53:16,129 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 00:53:16,129 - mmseg - INFO - Iter [50000/160000] lr: 1.375e-05, eta: 7:38:50, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2547, decode.acc_seg: 73.4715, aux.loss_ce: 0.1103, aux.acc_seg: 72.8869, loss: 0.3650 +2022-02-28 00:53:28,354 - mmseg - INFO - Iter [50050/160000] lr: 1.374e-05, eta: 7:38:37, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2549, decode.acc_seg: 72.4115, aux.loss_ce: 0.1093, aux.acc_seg: 71.8821, loss: 0.3642 +2022-02-28 00:53:40,816 - mmseg - INFO - Iter [50100/160000] lr: 1.374e-05, eta: 7:38:24, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2546, decode.acc_seg: 73.8578, aux.loss_ce: 0.1108, aux.acc_seg: 73.2769, loss: 0.3654 +2022-02-28 00:53:53,244 - mmseg - INFO - Iter [50150/160000] lr: 1.373e-05, eta: 7:38:11, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2400, decode.acc_seg: 73.3491, aux.loss_ce: 0.1044, aux.acc_seg: 72.7602, loss: 0.3443 +2022-02-28 00:54:05,466 - mmseg - INFO - Iter [50200/160000] lr: 1.373e-05, eta: 7:37:58, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2368, decode.acc_seg: 73.1974, aux.loss_ce: 0.1034, aux.acc_seg: 72.5360, loss: 0.3403 +2022-02-28 00:54:17,631 - mmseg - INFO - Iter [50250/160000] lr: 1.372e-05, eta: 7:37:45, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2464, decode.acc_seg: 71.4817, aux.loss_ce: 0.1057, aux.acc_seg: 70.9056, loss: 0.3520 +2022-02-28 00:54:29,923 - mmseg - INFO - Iter [50300/160000] lr: 1.371e-05, eta: 7:37:32, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2577, decode.acc_seg: 70.3633, aux.loss_ce: 0.1112, aux.acc_seg: 70.0362, loss: 0.3690 +2022-02-28 00:54:42,196 - mmseg - INFO - Iter [50350/160000] lr: 1.371e-05, eta: 7:37:19, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2466, decode.acc_seg: 72.6911, aux.loss_ce: 0.1087, aux.acc_seg: 72.0206, loss: 0.3553 +2022-02-28 00:54:54,623 - mmseg - INFO - Iter [50400/160000] lr: 1.370e-05, eta: 7:37:06, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2426, decode.acc_seg: 71.9689, aux.loss_ce: 0.1055, aux.acc_seg: 71.3269, loss: 0.3481 +2022-02-28 00:55:06,919 - mmseg - INFO - Iter [50450/160000] lr: 1.369e-05, eta: 7:36:53, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2501, decode.acc_seg: 72.7219, aux.loss_ce: 0.1091, aux.acc_seg: 72.1228, loss: 0.3593 +2022-02-28 00:55:19,140 - mmseg - INFO - Iter [50500/160000] lr: 1.369e-05, eta: 7:36:40, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2583, decode.acc_seg: 72.0024, aux.loss_ce: 0.1125, aux.acc_seg: 71.4635, loss: 0.3709 +2022-02-28 00:55:33,586 - mmseg - INFO - Iter [50550/160000] lr: 1.368e-05, eta: 7:36:32, time: 0.289, data_time: 0.049, memory: 56778, decode.loss_ce: 0.2527, decode.acc_seg: 73.9858, aux.loss_ce: 0.1098, aux.acc_seg: 73.4466, loss: 0.3625 +2022-02-28 00:55:45,871 - mmseg - INFO - Iter [50600/160000] lr: 1.368e-05, eta: 7:36:19, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2477, decode.acc_seg: 72.9498, aux.loss_ce: 0.1075, aux.acc_seg: 72.4131, loss: 0.3552 +2022-02-28 00:55:58,080 - mmseg - INFO - Iter [50650/160000] lr: 1.367e-05, eta: 7:36:06, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2460, decode.acc_seg: 72.4883, aux.loss_ce: 0.1063, aux.acc_seg: 72.0088, loss: 0.3523 +2022-02-28 00:56:10,354 - mmseg - INFO - Iter [50700/160000] lr: 1.366e-05, eta: 7:35:53, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2422, decode.acc_seg: 73.4862, aux.loss_ce: 0.1057, aux.acc_seg: 72.9409, loss: 0.3479 +2022-02-28 00:56:22,552 - mmseg - INFO - Iter [50750/160000] lr: 1.366e-05, eta: 7:35:39, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2361, decode.acc_seg: 72.3858, aux.loss_ce: 0.1014, aux.acc_seg: 72.0689, loss: 0.3375 +2022-02-28 00:56:34,900 - mmseg - INFO - Iter [50800/160000] lr: 1.365e-05, eta: 7:35:27, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2316, decode.acc_seg: 74.3609, aux.loss_ce: 0.1009, aux.acc_seg: 73.7952, loss: 0.3325 +2022-02-28 00:56:47,301 - mmseg - INFO - Iter [50850/160000] lr: 1.364e-05, eta: 7:35:14, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2555, decode.acc_seg: 72.9157, aux.loss_ce: 0.1110, aux.acc_seg: 72.3520, loss: 0.3665 +2022-02-28 00:56:59,677 - mmseg - INFO - Iter [50900/160000] lr: 1.364e-05, eta: 7:35:01, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2643, decode.acc_seg: 72.7783, aux.loss_ce: 0.1152, aux.acc_seg: 72.3269, loss: 0.3796 +2022-02-28 00:57:11,953 - mmseg - INFO - Iter [50950/160000] lr: 1.363e-05, eta: 7:34:48, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2546, decode.acc_seg: 71.5386, aux.loss_ce: 0.1111, aux.acc_seg: 70.9460, loss: 0.3657 +2022-02-28 00:57:24,128 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 00:57:24,128 - mmseg - INFO - Iter [51000/160000] lr: 1.363e-05, eta: 7:34:35, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2533, decode.acc_seg: 72.7783, aux.loss_ce: 0.1086, aux.acc_seg: 72.4087, loss: 0.3619 +2022-02-28 00:57:36,327 - mmseg - INFO - Iter [51050/160000] lr: 1.362e-05, eta: 7:34:22, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2369, decode.acc_seg: 72.2662, aux.loss_ce: 0.1021, aux.acc_seg: 71.7723, loss: 0.3391 +2022-02-28 00:57:48,536 - mmseg - INFO - Iter [51100/160000] lr: 1.361e-05, eta: 7:34:08, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2368, decode.acc_seg: 71.9880, aux.loss_ce: 0.1042, aux.acc_seg: 71.4305, loss: 0.3410 +2022-02-28 00:58:00,916 - mmseg - INFO - Iter [51150/160000] lr: 1.361e-05, eta: 7:33:56, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2476, decode.acc_seg: 72.9624, aux.loss_ce: 0.1071, aux.acc_seg: 72.2535, loss: 0.3546 +2022-02-28 00:58:13,350 - mmseg - INFO - Iter [51200/160000] lr: 1.360e-05, eta: 7:33:43, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2405, decode.acc_seg: 72.5162, aux.loss_ce: 0.1055, aux.acc_seg: 71.9189, loss: 0.3460 +2022-02-28 00:58:25,513 - mmseg - INFO - Iter [51250/160000] lr: 1.359e-05, eta: 7:33:30, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2584, decode.acc_seg: 71.7279, aux.loss_ce: 0.1121, aux.acc_seg: 71.3622, loss: 0.3705 +2022-02-28 00:58:37,838 - mmseg - INFO - Iter [51300/160000] lr: 1.359e-05, eta: 7:33:17, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2368, decode.acc_seg: 72.2248, aux.loss_ce: 0.1027, aux.acc_seg: 71.7282, loss: 0.3396 +2022-02-28 00:58:50,028 - mmseg - INFO - Iter [51350/160000] lr: 1.358e-05, eta: 7:33:04, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2294, decode.acc_seg: 73.4651, aux.loss_ce: 0.1001, aux.acc_seg: 72.8806, loss: 0.3294 +2022-02-28 00:59:02,275 - mmseg - INFO - Iter [51400/160000] lr: 1.358e-05, eta: 7:32:51, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2332, decode.acc_seg: 72.6117, aux.loss_ce: 0.1009, aux.acc_seg: 72.0347, loss: 0.3341 +2022-02-28 00:59:14,678 - mmseg - INFO - Iter [51450/160000] lr: 1.357e-05, eta: 7:32:38, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2506, decode.acc_seg: 71.6437, aux.loss_ce: 0.1082, aux.acc_seg: 71.1394, loss: 0.3588 +2022-02-28 00:59:26,999 - mmseg - INFO - Iter [51500/160000] lr: 1.356e-05, eta: 7:32:25, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2459, decode.acc_seg: 72.6157, aux.loss_ce: 0.1076, aux.acc_seg: 71.9658, loss: 0.3536 +2022-02-28 00:59:39,444 - mmseg - INFO - Iter [51550/160000] lr: 1.356e-05, eta: 7:32:12, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2451, decode.acc_seg: 72.7692, aux.loss_ce: 0.1068, aux.acc_seg: 72.2361, loss: 0.3518 +2022-02-28 00:59:51,755 - mmseg - INFO - Iter [51600/160000] lr: 1.355e-05, eta: 7:31:59, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2375, decode.acc_seg: 74.3190, aux.loss_ce: 0.1031, aux.acc_seg: 73.8086, loss: 0.3406 +2022-02-28 01:00:04,181 - mmseg - INFO - Iter [51650/160000] lr: 1.354e-05, eta: 7:31:47, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2330, decode.acc_seg: 72.0569, aux.loss_ce: 0.1015, aux.acc_seg: 71.5373, loss: 0.3346 +2022-02-28 01:00:16,494 - mmseg - INFO - Iter [51700/160000] lr: 1.354e-05, eta: 7:31:34, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2494, decode.acc_seg: 71.9171, aux.loss_ce: 0.1079, aux.acc_seg: 71.4928, loss: 0.3573 +2022-02-28 01:00:28,803 - mmseg - INFO - Iter [51750/160000] lr: 1.353e-05, eta: 7:31:21, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2621, decode.acc_seg: 72.2020, aux.loss_ce: 0.1142, aux.acc_seg: 71.7567, loss: 0.3763 +2022-02-28 01:00:43,410 - mmseg - INFO - Iter [51800/160000] lr: 1.353e-05, eta: 7:31:13, time: 0.292, data_time: 0.049, memory: 56778, decode.loss_ce: 0.2602, decode.acc_seg: 73.0521, aux.loss_ce: 0.1120, aux.acc_seg: 72.5852, loss: 0.3723 +2022-02-28 01:00:55,542 - mmseg - INFO - Iter [51850/160000] lr: 1.352e-05, eta: 7:30:59, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2263, decode.acc_seg: 73.6142, aux.loss_ce: 0.0982, aux.acc_seg: 73.1583, loss: 0.3245 +2022-02-28 01:01:07,751 - mmseg - INFO - Iter [51900/160000] lr: 1.351e-05, eta: 7:30:46, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2615, decode.acc_seg: 71.1264, aux.loss_ce: 0.1113, aux.acc_seg: 70.6874, loss: 0.3728 +2022-02-28 01:01:20,088 - mmseg - INFO - Iter [51950/160000] lr: 1.351e-05, eta: 7:30:33, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2532, decode.acc_seg: 72.2913, aux.loss_ce: 0.1089, aux.acc_seg: 71.8048, loss: 0.3621 +2022-02-28 01:01:32,242 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 01:01:32,242 - mmseg - INFO - Iter [52000/160000] lr: 1.350e-05, eta: 7:30:20, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2295, decode.acc_seg: 73.9930, aux.loss_ce: 0.0989, aux.acc_seg: 73.5208, loss: 0.3284 +2022-02-28 01:01:44,581 - mmseg - INFO - Iter [52050/160000] lr: 1.349e-05, eta: 7:30:07, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2388, decode.acc_seg: 73.4692, aux.loss_ce: 0.1045, aux.acc_seg: 72.8370, loss: 0.3433 +2022-02-28 01:01:56,877 - mmseg - INFO - Iter [52100/160000] lr: 1.349e-05, eta: 7:29:54, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2394, decode.acc_seg: 72.2282, aux.loss_ce: 0.1044, aux.acc_seg: 71.6805, loss: 0.3439 +2022-02-28 01:02:09,089 - mmseg - INFO - Iter [52150/160000] lr: 1.348e-05, eta: 7:29:41, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2437, decode.acc_seg: 73.0291, aux.loss_ce: 0.1071, aux.acc_seg: 72.4194, loss: 0.3509 +2022-02-28 01:02:21,524 - mmseg - INFO - Iter [52200/160000] lr: 1.348e-05, eta: 7:29:29, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2307, decode.acc_seg: 72.6011, aux.loss_ce: 0.1006, aux.acc_seg: 72.0157, loss: 0.3312 +2022-02-28 01:02:33,806 - mmseg - INFO - Iter [52250/160000] lr: 1.347e-05, eta: 7:29:16, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2389, decode.acc_seg: 73.0087, aux.loss_ce: 0.1028, aux.acc_seg: 72.5351, loss: 0.3417 +2022-02-28 01:02:46,038 - mmseg - INFO - Iter [52300/160000] lr: 1.346e-05, eta: 7:29:02, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2465, decode.acc_seg: 73.0099, aux.loss_ce: 0.1064, aux.acc_seg: 72.5110, loss: 0.3529 +2022-02-28 01:02:58,457 - mmseg - INFO - Iter [52350/160000] lr: 1.346e-05, eta: 7:28:50, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2309, decode.acc_seg: 73.8490, aux.loss_ce: 0.0993, aux.acc_seg: 73.4181, loss: 0.3302 +2022-02-28 01:03:10,635 - mmseg - INFO - Iter [52400/160000] lr: 1.345e-05, eta: 7:28:37, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2295, decode.acc_seg: 73.8312, aux.loss_ce: 0.1009, aux.acc_seg: 73.3101, loss: 0.3304 +2022-02-28 01:03:23,006 - mmseg - INFO - Iter [52450/160000] lr: 1.344e-05, eta: 7:28:24, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2700, decode.acc_seg: 72.8738, aux.loss_ce: 0.1168, aux.acc_seg: 72.2510, loss: 0.3868 +2022-02-28 01:03:35,326 - mmseg - INFO - Iter [52500/160000] lr: 1.344e-05, eta: 7:28:11, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2240, decode.acc_seg: 71.9685, aux.loss_ce: 0.0974, aux.acc_seg: 71.5567, loss: 0.3215 +2022-02-28 01:03:47,632 - mmseg - INFO - Iter [52550/160000] lr: 1.343e-05, eta: 7:27:58, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2418, decode.acc_seg: 74.8703, aux.loss_ce: 0.1040, aux.acc_seg: 74.3653, loss: 0.3458 +2022-02-28 01:04:00,191 - mmseg - INFO - Iter [52600/160000] lr: 1.343e-05, eta: 7:27:46, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2328, decode.acc_seg: 73.0251, aux.loss_ce: 0.1004, aux.acc_seg: 72.6116, loss: 0.3332 +2022-02-28 01:04:12,774 - mmseg - INFO - Iter [52650/160000] lr: 1.342e-05, eta: 7:27:33, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2321, decode.acc_seg: 74.0434, aux.loss_ce: 0.1025, aux.acc_seg: 73.4355, loss: 0.3346 +2022-02-28 01:04:25,167 - mmseg - INFO - Iter [52700/160000] lr: 1.341e-05, eta: 7:27:21, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2397, decode.acc_seg: 73.5859, aux.loss_ce: 0.1035, aux.acc_seg: 73.2199, loss: 0.3432 +2022-02-28 01:04:37,515 - mmseg - INFO - Iter [52750/160000] lr: 1.341e-05, eta: 7:27:08, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2285, decode.acc_seg: 72.5518, aux.loss_ce: 0.0996, aux.acc_seg: 71.9752, loss: 0.3281 +2022-02-28 01:04:49,865 - mmseg - INFO - Iter [52800/160000] lr: 1.340e-05, eta: 7:26:55, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2502, decode.acc_seg: 73.6119, aux.loss_ce: 0.1081, aux.acc_seg: 73.0067, loss: 0.3583 +2022-02-28 01:05:02,248 - mmseg - INFO - Iter [52850/160000] lr: 1.339e-05, eta: 7:26:42, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2469, decode.acc_seg: 72.0006, aux.loss_ce: 0.1070, aux.acc_seg: 71.4938, loss: 0.3538 +2022-02-28 01:05:14,821 - mmseg - INFO - Iter [52900/160000] lr: 1.339e-05, eta: 7:26:30, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2389, decode.acc_seg: 73.3567, aux.loss_ce: 0.1035, aux.acc_seg: 72.7761, loss: 0.3424 +2022-02-28 01:05:26,991 - mmseg - INFO - Iter [52950/160000] lr: 1.338e-05, eta: 7:26:17, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2297, decode.acc_seg: 72.9381, aux.loss_ce: 0.1004, aux.acc_seg: 72.3249, loss: 0.3300 +2022-02-28 01:05:39,408 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 01:05:39,408 - mmseg - INFO - Iter [53000/160000] lr: 1.338e-05, eta: 7:26:04, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2461, decode.acc_seg: 72.9691, aux.loss_ce: 0.1050, aux.acc_seg: 72.5395, loss: 0.3512 +2022-02-28 01:05:53,972 - mmseg - INFO - Iter [53050/160000] lr: 1.337e-05, eta: 7:25:55, time: 0.291, data_time: 0.050, memory: 56778, decode.loss_ce: 0.2577, decode.acc_seg: 72.1173, aux.loss_ce: 0.1124, aux.acc_seg: 71.5196, loss: 0.3701 +2022-02-28 01:06:06,249 - mmseg - INFO - Iter [53100/160000] lr: 1.336e-05, eta: 7:25:43, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2487, decode.acc_seg: 73.3893, aux.loss_ce: 0.1092, aux.acc_seg: 72.8581, loss: 0.3579 +2022-02-28 01:06:18,669 - mmseg - INFO - Iter [53150/160000] lr: 1.336e-05, eta: 7:25:30, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2490, decode.acc_seg: 72.7845, aux.loss_ce: 0.1096, aux.acc_seg: 72.1238, loss: 0.3586 +2022-02-28 01:06:30,947 - mmseg - INFO - Iter [53200/160000] lr: 1.335e-05, eta: 7:25:17, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2398, decode.acc_seg: 73.5891, aux.loss_ce: 0.1053, aux.acc_seg: 73.0110, loss: 0.3451 +2022-02-28 01:06:43,170 - mmseg - INFO - Iter [53250/160000] lr: 1.334e-05, eta: 7:25:04, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2374, decode.acc_seg: 73.0595, aux.loss_ce: 0.1032, aux.acc_seg: 72.5423, loss: 0.3406 +2022-02-28 01:06:55,385 - mmseg - INFO - Iter [53300/160000] lr: 1.334e-05, eta: 7:24:51, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2389, decode.acc_seg: 73.5136, aux.loss_ce: 0.1039, aux.acc_seg: 72.9448, loss: 0.3428 +2022-02-28 01:07:07,623 - mmseg - INFO - Iter [53350/160000] lr: 1.333e-05, eta: 7:24:38, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2372, decode.acc_seg: 72.8237, aux.loss_ce: 0.1037, aux.acc_seg: 72.2951, loss: 0.3409 +2022-02-28 01:07:19,812 - mmseg - INFO - Iter [53400/160000] lr: 1.333e-05, eta: 7:24:24, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2492, decode.acc_seg: 72.7421, aux.loss_ce: 0.1078, aux.acc_seg: 72.1981, loss: 0.3570 +2022-02-28 01:07:32,200 - mmseg - INFO - Iter [53450/160000] lr: 1.332e-05, eta: 7:24:12, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2285, decode.acc_seg: 71.9698, aux.loss_ce: 0.0983, aux.acc_seg: 71.4559, loss: 0.3267 +2022-02-28 01:07:44,472 - mmseg - INFO - Iter [53500/160000] lr: 1.331e-05, eta: 7:23:59, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2388, decode.acc_seg: 73.3349, aux.loss_ce: 0.1044, aux.acc_seg: 72.8422, loss: 0.3432 +2022-02-28 01:07:56,626 - mmseg - INFO - Iter [53550/160000] lr: 1.331e-05, eta: 7:23:46, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2457, decode.acc_seg: 72.4532, aux.loss_ce: 0.1085, aux.acc_seg: 71.7913, loss: 0.3542 +2022-02-28 01:08:09,040 - mmseg - INFO - Iter [53600/160000] lr: 1.330e-05, eta: 7:23:33, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2348, decode.acc_seg: 73.0388, aux.loss_ce: 0.1027, aux.acc_seg: 72.4970, loss: 0.3375 +2022-02-28 01:08:21,240 - mmseg - INFO - Iter [53650/160000] lr: 1.329e-05, eta: 7:23:20, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2460, decode.acc_seg: 73.1308, aux.loss_ce: 0.1073, aux.acc_seg: 72.5156, loss: 0.3534 +2022-02-28 01:08:33,514 - mmseg - INFO - Iter [53700/160000] lr: 1.329e-05, eta: 7:23:07, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2433, decode.acc_seg: 74.0177, aux.loss_ce: 0.1064, aux.acc_seg: 73.4700, loss: 0.3497 +2022-02-28 01:08:45,889 - mmseg - INFO - Iter [53750/160000] lr: 1.328e-05, eta: 7:22:54, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2476, decode.acc_seg: 72.6095, aux.loss_ce: 0.1068, aux.acc_seg: 72.0546, loss: 0.3543 +2022-02-28 01:08:58,228 - mmseg - INFO - Iter [53800/160000] lr: 1.328e-05, eta: 7:22:41, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2552, decode.acc_seg: 72.7940, aux.loss_ce: 0.1096, aux.acc_seg: 72.2730, loss: 0.3648 +2022-02-28 01:09:10,458 - mmseg - INFO - Iter [53850/160000] lr: 1.327e-05, eta: 7:22:28, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2529, decode.acc_seg: 72.5757, aux.loss_ce: 0.1105, aux.acc_seg: 72.0116, loss: 0.3634 +2022-02-28 01:09:22,740 - mmseg - INFO - Iter [53900/160000] lr: 1.326e-05, eta: 7:22:15, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2353, decode.acc_seg: 73.8303, aux.loss_ce: 0.1026, aux.acc_seg: 73.3326, loss: 0.3379 +2022-02-28 01:09:35,103 - mmseg - INFO - Iter [53950/160000] lr: 1.326e-05, eta: 7:22:02, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2393, decode.acc_seg: 71.7238, aux.loss_ce: 0.1030, aux.acc_seg: 71.1625, loss: 0.3422 +2022-02-28 01:09:47,350 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 01:09:47,350 - mmseg - INFO - Iter [54000/160000] lr: 1.325e-05, eta: 7:21:49, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2354, decode.acc_seg: 73.2403, aux.loss_ce: 0.1030, aux.acc_seg: 72.6398, loss: 0.3384 +2022-02-28 01:09:59,531 - mmseg - INFO - Iter [54050/160000] lr: 1.324e-05, eta: 7:21:36, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2392, decode.acc_seg: 73.6798, aux.loss_ce: 0.1043, aux.acc_seg: 73.1498, loss: 0.3435 +2022-02-28 01:10:11,744 - mmseg - INFO - Iter [54100/160000] lr: 1.324e-05, eta: 7:21:23, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2336, decode.acc_seg: 71.5092, aux.loss_ce: 0.1025, aux.acc_seg: 71.0129, loss: 0.3361 +2022-02-28 01:10:23,944 - mmseg - INFO - Iter [54150/160000] lr: 1.323e-05, eta: 7:21:10, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2277, decode.acc_seg: 73.0652, aux.loss_ce: 0.1006, aux.acc_seg: 72.4931, loss: 0.3283 +2022-02-28 01:10:36,194 - mmseg - INFO - Iter [54200/160000] lr: 1.323e-05, eta: 7:20:57, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2371, decode.acc_seg: 72.1176, aux.loss_ce: 0.1037, aux.acc_seg: 71.5837, loss: 0.3408 +2022-02-28 01:10:48,499 - mmseg - INFO - Iter [54250/160000] lr: 1.322e-05, eta: 7:20:44, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2602, decode.acc_seg: 72.6863, aux.loss_ce: 0.1106, aux.acc_seg: 72.2692, loss: 0.3709 +2022-02-28 01:11:00,833 - mmseg - INFO - Iter [54300/160000] lr: 1.321e-05, eta: 7:20:31, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2298, decode.acc_seg: 72.1584, aux.loss_ce: 0.1005, aux.acc_seg: 71.6747, loss: 0.3303 +2022-02-28 01:11:15,318 - mmseg - INFO - Iter [54350/160000] lr: 1.321e-05, eta: 7:20:23, time: 0.290, data_time: 0.048, memory: 56778, decode.loss_ce: 0.2308, decode.acc_seg: 74.6212, aux.loss_ce: 0.1005, aux.acc_seg: 74.1115, loss: 0.3312 +2022-02-28 01:11:27,719 - mmseg - INFO - Iter [54400/160000] lr: 1.320e-05, eta: 7:20:10, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2257, decode.acc_seg: 72.8633, aux.loss_ce: 0.1000, aux.acc_seg: 72.2573, loss: 0.3257 +2022-02-28 01:11:40,017 - mmseg - INFO - Iter [54450/160000] lr: 1.319e-05, eta: 7:19:57, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2411, decode.acc_seg: 72.9316, aux.loss_ce: 0.1055, aux.acc_seg: 72.3761, loss: 0.3466 +2022-02-28 01:11:52,445 - mmseg - INFO - Iter [54500/160000] lr: 1.319e-05, eta: 7:19:44, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2276, decode.acc_seg: 73.6558, aux.loss_ce: 0.1000, aux.acc_seg: 73.1286, loss: 0.3276 +2022-02-28 01:12:04,659 - mmseg - INFO - Iter [54550/160000] lr: 1.318e-05, eta: 7:19:31, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2294, decode.acc_seg: 73.7980, aux.loss_ce: 0.0995, aux.acc_seg: 73.3227, loss: 0.3289 +2022-02-28 01:12:17,615 - mmseg - INFO - Iter [54600/160000] lr: 1.318e-05, eta: 7:19:20, time: 0.259, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2214, decode.acc_seg: 73.7874, aux.loss_ce: 0.0961, aux.acc_seg: 73.2580, loss: 0.3175 +2022-02-28 01:12:29,931 - mmseg - INFO - Iter [54650/160000] lr: 1.317e-05, eta: 7:19:07, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2497, decode.acc_seg: 73.2742, aux.loss_ce: 0.1071, aux.acc_seg: 72.9489, loss: 0.3568 +2022-02-28 01:12:42,123 - mmseg - INFO - Iter [54700/160000] lr: 1.316e-05, eta: 7:18:54, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2235, decode.acc_seg: 72.9904, aux.loss_ce: 0.0974, aux.acc_seg: 72.4564, loss: 0.3209 +2022-02-28 01:12:54,394 - mmseg - INFO - Iter [54750/160000] lr: 1.316e-05, eta: 7:18:41, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2375, decode.acc_seg: 73.3322, aux.loss_ce: 0.1037, aux.acc_seg: 72.8486, loss: 0.3412 +2022-02-28 01:13:06,751 - mmseg - INFO - Iter [54800/160000] lr: 1.315e-05, eta: 7:18:28, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2455, decode.acc_seg: 71.9702, aux.loss_ce: 0.1087, aux.acc_seg: 71.3844, loss: 0.3542 +2022-02-28 01:13:19,011 - mmseg - INFO - Iter [54850/160000] lr: 1.314e-05, eta: 7:18:15, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2427, decode.acc_seg: 71.8108, aux.loss_ce: 0.1049, aux.acc_seg: 71.2500, loss: 0.3476 +2022-02-28 01:13:31,162 - mmseg - INFO - Iter [54900/160000] lr: 1.314e-05, eta: 7:18:02, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2265, decode.acc_seg: 74.0581, aux.loss_ce: 0.0996, aux.acc_seg: 73.4610, loss: 0.3261 +2022-02-28 01:13:43,353 - mmseg - INFO - Iter [54950/160000] lr: 1.313e-05, eta: 7:17:49, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2361, decode.acc_seg: 72.5232, aux.loss_ce: 0.1034, aux.acc_seg: 71.9066, loss: 0.3395 +2022-02-28 01:13:55,606 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 01:13:55,606 - mmseg - INFO - Iter [55000/160000] lr: 1.313e-05, eta: 7:17:36, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2447, decode.acc_seg: 72.5181, aux.loss_ce: 0.1060, aux.acc_seg: 72.0619, loss: 0.3507 +2022-02-28 01:14:07,850 - mmseg - INFO - Iter [55050/160000] lr: 1.312e-05, eta: 7:17:23, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2418, decode.acc_seg: 72.2783, aux.loss_ce: 0.1054, aux.acc_seg: 71.6523, loss: 0.3472 +2022-02-28 01:14:19,993 - mmseg - INFO - Iter [55100/160000] lr: 1.311e-05, eta: 7:17:10, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2352, decode.acc_seg: 72.8658, aux.loss_ce: 0.1026, aux.acc_seg: 72.3254, loss: 0.3379 +2022-02-28 01:14:32,200 - mmseg - INFO - Iter [55150/160000] lr: 1.311e-05, eta: 7:16:57, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2241, decode.acc_seg: 73.5846, aux.loss_ce: 0.0975, aux.acc_seg: 73.0688, loss: 0.3216 +2022-02-28 01:14:44,561 - mmseg - INFO - Iter [55200/160000] lr: 1.310e-05, eta: 7:16:44, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2380, decode.acc_seg: 73.6806, aux.loss_ce: 0.1046, aux.acc_seg: 73.0964, loss: 0.3426 +2022-02-28 01:14:56,936 - mmseg - INFO - Iter [55250/160000] lr: 1.309e-05, eta: 7:16:31, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2289, decode.acc_seg: 73.0113, aux.loss_ce: 0.0992, aux.acc_seg: 72.6274, loss: 0.3281 +2022-02-28 01:15:09,209 - mmseg - INFO - Iter [55300/160000] lr: 1.309e-05, eta: 7:16:18, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2491, decode.acc_seg: 72.5784, aux.loss_ce: 0.1099, aux.acc_seg: 71.9909, loss: 0.3590 +2022-02-28 01:15:21,549 - mmseg - INFO - Iter [55350/160000] lr: 1.308e-05, eta: 7:16:05, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2398, decode.acc_seg: 71.6105, aux.loss_ce: 0.1049, aux.acc_seg: 70.9667, loss: 0.3447 +2022-02-28 01:15:33,789 - mmseg - INFO - Iter [55400/160000] lr: 1.308e-05, eta: 7:15:52, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2408, decode.acc_seg: 74.2189, aux.loss_ce: 0.1039, aux.acc_seg: 73.7690, loss: 0.3447 +2022-02-28 01:15:46,092 - mmseg - INFO - Iter [55450/160000] lr: 1.307e-05, eta: 7:15:39, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2466, decode.acc_seg: 72.8817, aux.loss_ce: 0.1055, aux.acc_seg: 72.4200, loss: 0.3521 +2022-02-28 01:15:58,303 - mmseg - INFO - Iter [55500/160000] lr: 1.306e-05, eta: 7:15:26, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2326, decode.acc_seg: 72.5864, aux.loss_ce: 0.1010, aux.acc_seg: 72.1090, loss: 0.3336 +2022-02-28 01:16:10,531 - mmseg - INFO - Iter [55550/160000] lr: 1.306e-05, eta: 7:15:13, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2445, decode.acc_seg: 72.1604, aux.loss_ce: 0.1060, aux.acc_seg: 71.6471, loss: 0.3504 +2022-02-28 01:16:25,077 - mmseg - INFO - Iter [55600/160000] lr: 1.305e-05, eta: 7:15:05, time: 0.291, data_time: 0.052, memory: 56778, decode.loss_ce: 0.2349, decode.acc_seg: 73.5057, aux.loss_ce: 0.1014, aux.acc_seg: 73.0266, loss: 0.3363 +2022-02-28 01:16:37,370 - mmseg - INFO - Iter [55650/160000] lr: 1.304e-05, eta: 7:14:52, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2202, decode.acc_seg: 73.4797, aux.loss_ce: 0.0979, aux.acc_seg: 72.8535, loss: 0.3180 +2022-02-28 01:16:49,725 - mmseg - INFO - Iter [55700/160000] lr: 1.304e-05, eta: 7:14:39, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2273, decode.acc_seg: 74.1816, aux.loss_ce: 0.0999, aux.acc_seg: 73.5201, loss: 0.3273 +2022-02-28 01:17:01,961 - mmseg - INFO - Iter [55750/160000] lr: 1.303e-05, eta: 7:14:26, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2151, decode.acc_seg: 72.5369, aux.loss_ce: 0.0944, aux.acc_seg: 72.0283, loss: 0.3095 +2022-02-28 01:17:14,372 - mmseg - INFO - Iter [55800/160000] lr: 1.303e-05, eta: 7:14:13, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2204, decode.acc_seg: 72.4452, aux.loss_ce: 0.0978, aux.acc_seg: 71.8370, loss: 0.3182 +2022-02-28 01:17:26,551 - mmseg - INFO - Iter [55850/160000] lr: 1.302e-05, eta: 7:14:00, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2091, decode.acc_seg: 72.5659, aux.loss_ce: 0.0917, aux.acc_seg: 72.0338, loss: 0.3009 +2022-02-28 01:17:38,791 - mmseg - INFO - Iter [55900/160000] lr: 1.301e-05, eta: 7:13:47, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2449, decode.acc_seg: 72.1733, aux.loss_ce: 0.1063, aux.acc_seg: 71.7422, loss: 0.3512 +2022-02-28 01:17:51,073 - mmseg - INFO - Iter [55950/160000] lr: 1.301e-05, eta: 7:13:34, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2347, decode.acc_seg: 73.1909, aux.loss_ce: 0.1018, aux.acc_seg: 72.7621, loss: 0.3365 +2022-02-28 01:18:03,347 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 01:18:03,347 - mmseg - INFO - Iter [56000/160000] lr: 1.300e-05, eta: 7:13:21, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2270, decode.acc_seg: 72.7301, aux.loss_ce: 0.0992, aux.acc_seg: 72.2015, loss: 0.3262 +2022-02-28 01:18:15,575 - mmseg - INFO - Iter [56050/160000] lr: 1.299e-05, eta: 7:13:08, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2353, decode.acc_seg: 73.6226, aux.loss_ce: 0.1013, aux.acc_seg: 73.1592, loss: 0.3366 +2022-02-28 01:18:28,000 - mmseg - INFO - Iter [56100/160000] lr: 1.299e-05, eta: 7:12:56, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2211, decode.acc_seg: 73.1041, aux.loss_ce: 0.0973, aux.acc_seg: 72.4913, loss: 0.3184 +2022-02-28 01:18:40,352 - mmseg - INFO - Iter [56150/160000] lr: 1.298e-05, eta: 7:12:43, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2330, decode.acc_seg: 71.9891, aux.loss_ce: 0.1010, aux.acc_seg: 71.3711, loss: 0.3340 +2022-02-28 01:18:52,722 - mmseg - INFO - Iter [56200/160000] lr: 1.298e-05, eta: 7:12:30, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2333, decode.acc_seg: 72.7132, aux.loss_ce: 0.1025, aux.acc_seg: 72.1786, loss: 0.3358 +2022-02-28 01:19:05,405 - mmseg - INFO - Iter [56250/160000] lr: 1.297e-05, eta: 7:12:18, time: 0.253, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2358, decode.acc_seg: 74.1386, aux.loss_ce: 0.1032, aux.acc_seg: 73.6564, loss: 0.3390 +2022-02-28 01:19:17,937 - mmseg - INFO - Iter [56300/160000] lr: 1.296e-05, eta: 7:12:06, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2414, decode.acc_seg: 73.1107, aux.loss_ce: 0.1043, aux.acc_seg: 72.5981, loss: 0.3457 +2022-02-28 01:19:30,231 - mmseg - INFO - Iter [56350/160000] lr: 1.296e-05, eta: 7:11:53, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2281, decode.acc_seg: 74.2582, aux.loss_ce: 0.0983, aux.acc_seg: 73.8090, loss: 0.3264 +2022-02-28 01:19:42,443 - mmseg - INFO - Iter [56400/160000] lr: 1.295e-05, eta: 7:11:40, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2299, decode.acc_seg: 72.2330, aux.loss_ce: 0.1007, aux.acc_seg: 71.6978, loss: 0.3306 +2022-02-28 01:19:54,677 - mmseg - INFO - Iter [56450/160000] lr: 1.294e-05, eta: 7:11:27, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2354, decode.acc_seg: 73.0424, aux.loss_ce: 0.1012, aux.acc_seg: 72.5957, loss: 0.3366 +2022-02-28 01:20:06,941 - mmseg - INFO - Iter [56500/160000] lr: 1.294e-05, eta: 7:11:14, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2358, decode.acc_seg: 73.8036, aux.loss_ce: 0.1022, aux.acc_seg: 73.3341, loss: 0.3379 +2022-02-28 01:20:19,289 - mmseg - INFO - Iter [56550/160000] lr: 1.293e-05, eta: 7:11:01, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2363, decode.acc_seg: 72.4196, aux.loss_ce: 0.1031, aux.acc_seg: 71.8594, loss: 0.3394 +2022-02-28 01:20:31,716 - mmseg - INFO - Iter [56600/160000] lr: 1.293e-05, eta: 7:10:48, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2350, decode.acc_seg: 73.7119, aux.loss_ce: 0.1031, aux.acc_seg: 73.2794, loss: 0.3380 +2022-02-28 01:20:43,903 - mmseg - INFO - Iter [56650/160000] lr: 1.292e-05, eta: 7:10:35, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2435, decode.acc_seg: 73.3367, aux.loss_ce: 0.1063, aux.acc_seg: 72.7958, loss: 0.3499 +2022-02-28 01:20:56,240 - mmseg - INFO - Iter [56700/160000] lr: 1.291e-05, eta: 7:10:23, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2222, decode.acc_seg: 73.9958, aux.loss_ce: 0.0964, aux.acc_seg: 73.4451, loss: 0.3186 +2022-02-28 01:21:08,391 - mmseg - INFO - Iter [56750/160000] lr: 1.291e-05, eta: 7:10:09, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2275, decode.acc_seg: 71.6548, aux.loss_ce: 0.0998, aux.acc_seg: 71.1000, loss: 0.3273 +2022-02-28 01:21:20,663 - mmseg - INFO - Iter [56800/160000] lr: 1.290e-05, eta: 7:09:56, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2354, decode.acc_seg: 73.3308, aux.loss_ce: 0.1020, aux.acc_seg: 72.7393, loss: 0.3374 +2022-02-28 01:21:35,294 - mmseg - INFO - Iter [56850/160000] lr: 1.289e-05, eta: 7:09:48, time: 0.293, data_time: 0.049, memory: 56778, decode.loss_ce: 0.2493, decode.acc_seg: 73.0916, aux.loss_ce: 0.1073, aux.acc_seg: 72.7171, loss: 0.3566 +2022-02-28 01:21:47,475 - mmseg - INFO - Iter [56900/160000] lr: 1.289e-05, eta: 7:09:35, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2343, decode.acc_seg: 72.6490, aux.loss_ce: 0.1030, aux.acc_seg: 72.1441, loss: 0.3373 +2022-02-28 01:21:59,752 - mmseg - INFO - Iter [56950/160000] lr: 1.288e-05, eta: 7:09:22, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2205, decode.acc_seg: 73.6309, aux.loss_ce: 0.0979, aux.acc_seg: 72.9733, loss: 0.3183 +2022-02-28 01:22:12,118 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 01:22:12,118 - mmseg - INFO - Iter [57000/160000] lr: 1.288e-05, eta: 7:09:09, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2355, decode.acc_seg: 74.3761, aux.loss_ce: 0.1018, aux.acc_seg: 73.9235, loss: 0.3372 +2022-02-28 01:22:24,469 - mmseg - INFO - Iter [57050/160000] lr: 1.287e-05, eta: 7:08:56, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2260, decode.acc_seg: 72.9947, aux.loss_ce: 0.0986, aux.acc_seg: 72.4024, loss: 0.3247 +2022-02-28 01:22:36,877 - mmseg - INFO - Iter [57100/160000] lr: 1.286e-05, eta: 7:08:44, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2359, decode.acc_seg: 73.5860, aux.loss_ce: 0.1025, aux.acc_seg: 72.9755, loss: 0.3384 +2022-02-28 01:22:49,335 - mmseg - INFO - Iter [57150/160000] lr: 1.286e-05, eta: 7:08:31, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2242, decode.acc_seg: 72.3704, aux.loss_ce: 0.0989, aux.acc_seg: 71.6694, loss: 0.3231 +2022-02-28 01:23:01,774 - mmseg - INFO - Iter [57200/160000] lr: 1.285e-05, eta: 7:08:19, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2383, decode.acc_seg: 72.1843, aux.loss_ce: 0.1047, aux.acc_seg: 71.7896, loss: 0.3430 +2022-02-28 01:23:14,049 - mmseg - INFO - Iter [57250/160000] lr: 1.284e-05, eta: 7:08:06, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2277, decode.acc_seg: 73.6410, aux.loss_ce: 0.0995, aux.acc_seg: 73.1295, loss: 0.3272 +2022-02-28 01:23:26,235 - mmseg - INFO - Iter [57300/160000] lr: 1.284e-05, eta: 7:07:53, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2322, decode.acc_seg: 73.5441, aux.loss_ce: 0.1017, aux.acc_seg: 72.9120, loss: 0.3339 +2022-02-28 01:23:38,478 - mmseg - INFO - Iter [57350/160000] lr: 1.283e-05, eta: 7:07:40, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2270, decode.acc_seg: 73.1889, aux.loss_ce: 0.0990, aux.acc_seg: 72.6745, loss: 0.3260 +2022-02-28 01:23:50,664 - mmseg - INFO - Iter [57400/160000] lr: 1.283e-05, eta: 7:07:27, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2219, decode.acc_seg: 74.0661, aux.loss_ce: 0.0977, aux.acc_seg: 73.5149, loss: 0.3196 +2022-02-28 01:24:02,995 - mmseg - INFO - Iter [57450/160000] lr: 1.282e-05, eta: 7:07:14, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2252, decode.acc_seg: 73.3779, aux.loss_ce: 0.0982, aux.acc_seg: 72.9068, loss: 0.3234 +2022-02-28 01:24:15,158 - mmseg - INFO - Iter [57500/160000] lr: 1.281e-05, eta: 7:07:01, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2328, decode.acc_seg: 74.4344, aux.loss_ce: 0.1019, aux.acc_seg: 73.9489, loss: 0.3347 +2022-02-28 01:24:27,412 - mmseg - INFO - Iter [57550/160000] lr: 1.281e-05, eta: 7:06:48, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2180, decode.acc_seg: 73.1089, aux.loss_ce: 0.0952, aux.acc_seg: 72.6666, loss: 0.3132 +2022-02-28 01:24:39,666 - mmseg - INFO - Iter [57600/160000] lr: 1.280e-05, eta: 7:06:35, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2526, decode.acc_seg: 72.5264, aux.loss_ce: 0.1112, aux.acc_seg: 71.8495, loss: 0.3639 +2022-02-28 01:24:51,970 - mmseg - INFO - Iter [57650/160000] lr: 1.279e-05, eta: 7:06:22, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2464, decode.acc_seg: 73.0928, aux.loss_ce: 0.1078, aux.acc_seg: 72.6419, loss: 0.3542 +2022-02-28 01:25:04,121 - mmseg - INFO - Iter [57700/160000] lr: 1.279e-05, eta: 7:06:09, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2155, decode.acc_seg: 73.2159, aux.loss_ce: 0.0947, aux.acc_seg: 72.6823, loss: 0.3102 +2022-02-28 01:25:16,445 - mmseg - INFO - Iter [57750/160000] lr: 1.278e-05, eta: 7:05:56, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2308, decode.acc_seg: 71.7995, aux.loss_ce: 0.1002, aux.acc_seg: 71.2286, loss: 0.3309 +2022-02-28 01:25:28,729 - mmseg - INFO - Iter [57800/160000] lr: 1.278e-05, eta: 7:05:43, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2144, decode.acc_seg: 73.1598, aux.loss_ce: 0.0949, aux.acc_seg: 72.5969, loss: 0.3093 +2022-02-28 01:25:41,004 - mmseg - INFO - Iter [57850/160000] lr: 1.277e-05, eta: 7:05:30, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2465, decode.acc_seg: 71.8338, aux.loss_ce: 0.1078, aux.acc_seg: 71.3551, loss: 0.3543 +2022-02-28 01:25:53,438 - mmseg - INFO - Iter [57900/160000] lr: 1.276e-05, eta: 7:05:18, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2404, decode.acc_seg: 73.4306, aux.loss_ce: 0.1039, aux.acc_seg: 72.8958, loss: 0.3443 +2022-02-28 01:26:05,753 - mmseg - INFO - Iter [57950/160000] lr: 1.276e-05, eta: 7:05:05, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2453, decode.acc_seg: 71.7428, aux.loss_ce: 0.1084, aux.acc_seg: 71.1758, loss: 0.3536 +2022-02-28 01:26:18,225 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 01:26:18,225 - mmseg - INFO - Iter [58000/160000] lr: 1.275e-05, eta: 7:04:52, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2566, decode.acc_seg: 72.9156, aux.loss_ce: 0.1121, aux.acc_seg: 72.2956, loss: 0.3687 +2022-02-28 01:26:30,660 - mmseg - INFO - Iter [58050/160000] lr: 1.274e-05, eta: 7:04:40, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2357, decode.acc_seg: 72.9222, aux.loss_ce: 0.1011, aux.acc_seg: 72.5537, loss: 0.3368 +2022-02-28 01:26:45,302 - mmseg - INFO - Iter [58100/160000] lr: 1.274e-05, eta: 7:04:31, time: 0.293, data_time: 0.049, memory: 56778, decode.loss_ce: 0.2289, decode.acc_seg: 73.6533, aux.loss_ce: 0.1005, aux.acc_seg: 73.0061, loss: 0.3294 +2022-02-28 01:26:57,533 - mmseg - INFO - Iter [58150/160000] lr: 1.273e-05, eta: 7:04:18, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2204, decode.acc_seg: 73.5383, aux.loss_ce: 0.0967, aux.acc_seg: 72.9891, loss: 0.3171 +2022-02-28 01:27:09,886 - mmseg - INFO - Iter [58200/160000] lr: 1.273e-05, eta: 7:04:05, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2139, decode.acc_seg: 73.0286, aux.loss_ce: 0.0940, aux.acc_seg: 72.4642, loss: 0.3080 +2022-02-28 01:27:22,304 - mmseg - INFO - Iter [58250/160000] lr: 1.272e-05, eta: 7:03:53, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2177, decode.acc_seg: 73.4983, aux.loss_ce: 0.0957, aux.acc_seg: 72.9080, loss: 0.3134 +2022-02-28 01:27:34,668 - mmseg - INFO - Iter [58300/160000] lr: 1.271e-05, eta: 7:03:40, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2245, decode.acc_seg: 72.1828, aux.loss_ce: 0.0980, aux.acc_seg: 71.7637, loss: 0.3225 +2022-02-28 01:27:46,949 - mmseg - INFO - Iter [58350/160000] lr: 1.271e-05, eta: 7:03:27, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2291, decode.acc_seg: 73.8245, aux.loss_ce: 0.1011, aux.acc_seg: 73.1927, loss: 0.3302 +2022-02-28 01:27:59,207 - mmseg - INFO - Iter [58400/160000] lr: 1.270e-05, eta: 7:03:14, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2176, decode.acc_seg: 74.4251, aux.loss_ce: 0.0963, aux.acc_seg: 73.8201, loss: 0.3139 +2022-02-28 01:28:11,460 - mmseg - INFO - Iter [58450/160000] lr: 1.269e-05, eta: 7:03:01, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2183, decode.acc_seg: 74.5717, aux.loss_ce: 0.0974, aux.acc_seg: 73.9943, loss: 0.3157 +2022-02-28 01:28:23,659 - mmseg - INFO - Iter [58500/160000] lr: 1.269e-05, eta: 7:02:48, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2215, decode.acc_seg: 72.3669, aux.loss_ce: 0.0977, aux.acc_seg: 71.7417, loss: 0.3192 +2022-02-28 01:28:35,842 - mmseg - INFO - Iter [58550/160000] lr: 1.268e-05, eta: 7:02:35, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2199, decode.acc_seg: 73.6165, aux.loss_ce: 0.0962, aux.acc_seg: 72.9884, loss: 0.3160 +2022-02-28 01:28:48,064 - mmseg - INFO - Iter [58600/160000] lr: 1.268e-05, eta: 7:02:22, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2207, decode.acc_seg: 74.2349, aux.loss_ce: 0.0960, aux.acc_seg: 73.7529, loss: 0.3166 +2022-02-28 01:29:00,304 - mmseg - INFO - Iter [58650/160000] lr: 1.267e-05, eta: 7:02:09, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2157, decode.acc_seg: 72.4614, aux.loss_ce: 0.0932, aux.acc_seg: 72.0492, loss: 0.3089 +2022-02-28 01:29:12,394 - mmseg - INFO - Iter [58700/160000] lr: 1.266e-05, eta: 7:01:56, time: 0.242, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2190, decode.acc_seg: 72.9451, aux.loss_ce: 0.0968, aux.acc_seg: 72.3225, loss: 0.3158 +2022-02-28 01:29:24,647 - mmseg - INFO - Iter [58750/160000] lr: 1.266e-05, eta: 7:01:43, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2319, decode.acc_seg: 73.6508, aux.loss_ce: 0.1000, aux.acc_seg: 73.1397, loss: 0.3319 +2022-02-28 01:29:36,926 - mmseg - INFO - Iter [58800/160000] lr: 1.265e-05, eta: 7:01:30, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2215, decode.acc_seg: 74.2661, aux.loss_ce: 0.0973, aux.acc_seg: 73.8207, loss: 0.3188 +2022-02-28 01:29:49,093 - mmseg - INFO - Iter [58850/160000] lr: 1.264e-05, eta: 7:01:17, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2353, decode.acc_seg: 72.4998, aux.loss_ce: 0.1027, aux.acc_seg: 71.9385, loss: 0.3380 +2022-02-28 01:30:01,289 - mmseg - INFO - Iter [58900/160000] lr: 1.264e-05, eta: 7:01:04, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2399, decode.acc_seg: 73.8557, aux.loss_ce: 0.1035, aux.acc_seg: 73.3500, loss: 0.3434 +2022-02-28 01:30:13,424 - mmseg - INFO - Iter [58950/160000] lr: 1.263e-05, eta: 7:00:51, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2450, decode.acc_seg: 74.0457, aux.loss_ce: 0.1059, aux.acc_seg: 73.5068, loss: 0.3509 +2022-02-28 01:30:25,597 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 01:30:25,597 - mmseg - INFO - Iter [59000/160000] lr: 1.263e-05, eta: 7:00:38, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2152, decode.acc_seg: 75.2310, aux.loss_ce: 0.0947, aux.acc_seg: 74.6849, loss: 0.3099 +2022-02-28 01:30:37,960 - mmseg - INFO - Iter [59050/160000] lr: 1.262e-05, eta: 7:00:25, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2073, decode.acc_seg: 72.6500, aux.loss_ce: 0.0903, aux.acc_seg: 72.2619, loss: 0.2975 +2022-02-28 01:30:50,256 - mmseg - INFO - Iter [59100/160000] lr: 1.261e-05, eta: 7:00:12, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2243, decode.acc_seg: 73.9399, aux.loss_ce: 0.0975, aux.acc_seg: 73.4546, loss: 0.3218 +2022-02-28 01:31:02,567 - mmseg - INFO - Iter [59150/160000] lr: 1.261e-05, eta: 7:00:00, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2292, decode.acc_seg: 73.7172, aux.loss_ce: 0.1000, aux.acc_seg: 73.2024, loss: 0.3292 +2022-02-28 01:31:15,144 - mmseg - INFO - Iter [59200/160000] lr: 1.260e-05, eta: 6:59:47, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2168, decode.acc_seg: 73.9198, aux.loss_ce: 0.0944, aux.acc_seg: 73.4340, loss: 0.3112 +2022-02-28 01:31:27,516 - mmseg - INFO - Iter [59250/160000] lr: 1.259e-05, eta: 6:59:35, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2287, decode.acc_seg: 72.8291, aux.loss_ce: 0.1001, aux.acc_seg: 72.3068, loss: 0.3288 +2022-02-28 01:31:39,679 - mmseg - INFO - Iter [59300/160000] lr: 1.259e-05, eta: 6:59:21, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2335, decode.acc_seg: 72.9769, aux.loss_ce: 0.1027, aux.acc_seg: 72.4584, loss: 0.3362 +2022-02-28 01:31:51,946 - mmseg - INFO - Iter [59350/160000] lr: 1.258e-05, eta: 6:59:09, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2246, decode.acc_seg: 73.1357, aux.loss_ce: 0.0984, aux.acc_seg: 72.5761, loss: 0.3229 +2022-02-28 01:32:06,540 - mmseg - INFO - Iter [59400/160000] lr: 1.258e-05, eta: 6:59:00, time: 0.292, data_time: 0.050, memory: 56778, decode.loss_ce: 0.2276, decode.acc_seg: 74.9592, aux.loss_ce: 0.1000, aux.acc_seg: 74.3841, loss: 0.3276 +2022-02-28 01:32:18,859 - mmseg - INFO - Iter [59450/160000] lr: 1.257e-05, eta: 6:58:47, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2126, decode.acc_seg: 73.4623, aux.loss_ce: 0.0926, aux.acc_seg: 73.0154, loss: 0.3053 +2022-02-28 01:32:31,191 - mmseg - INFO - Iter [59500/160000] lr: 1.256e-05, eta: 6:58:34, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1968, decode.acc_seg: 73.8217, aux.loss_ce: 0.0877, aux.acc_seg: 73.2310, loss: 0.2846 +2022-02-28 01:32:43,394 - mmseg - INFO - Iter [59550/160000] lr: 1.256e-05, eta: 6:58:21, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2123, decode.acc_seg: 74.2494, aux.loss_ce: 0.0931, aux.acc_seg: 73.6457, loss: 0.3054 +2022-02-28 01:32:55,627 - mmseg - INFO - Iter [59600/160000] lr: 1.255e-05, eta: 6:58:08, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2280, decode.acc_seg: 74.3285, aux.loss_ce: 0.0996, aux.acc_seg: 73.7581, loss: 0.3275 +2022-02-28 01:33:07,981 - mmseg - INFO - Iter [59650/160000] lr: 1.254e-05, eta: 6:57:55, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2495, decode.acc_seg: 71.9275, aux.loss_ce: 0.1075, aux.acc_seg: 71.5020, loss: 0.3570 +2022-02-28 01:33:20,167 - mmseg - INFO - Iter [59700/160000] lr: 1.254e-05, eta: 6:57:42, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2375, decode.acc_seg: 74.4912, aux.loss_ce: 0.1021, aux.acc_seg: 74.0076, loss: 0.3396 +2022-02-28 01:33:32,468 - mmseg - INFO - Iter [59750/160000] lr: 1.253e-05, eta: 6:57:30, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2390, decode.acc_seg: 74.2835, aux.loss_ce: 0.1044, aux.acc_seg: 73.8391, loss: 0.3435 +2022-02-28 01:33:44,976 - mmseg - INFO - Iter [59800/160000] lr: 1.253e-05, eta: 6:57:17, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2349, decode.acc_seg: 72.7197, aux.loss_ce: 0.1018, aux.acc_seg: 72.2170, loss: 0.3368 +2022-02-28 01:33:57,449 - mmseg - INFO - Iter [59850/160000] lr: 1.252e-05, eta: 6:57:05, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2300, decode.acc_seg: 72.0465, aux.loss_ce: 0.1006, aux.acc_seg: 71.4501, loss: 0.3307 +2022-02-28 01:34:09,678 - mmseg - INFO - Iter [59900/160000] lr: 1.251e-05, eta: 6:56:52, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2229, decode.acc_seg: 74.0739, aux.loss_ce: 0.0968, aux.acc_seg: 73.5436, loss: 0.3197 +2022-02-28 01:34:21,997 - mmseg - INFO - Iter [59950/160000] lr: 1.251e-05, eta: 6:56:39, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2337, decode.acc_seg: 72.9353, aux.loss_ce: 0.1019, aux.acc_seg: 72.4405, loss: 0.3356 +2022-02-28 01:34:34,324 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 01:34:34,324 - mmseg - INFO - Iter [60000/160000] lr: 1.250e-05, eta: 6:56:26, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2375, decode.acc_seg: 73.6659, aux.loss_ce: 0.1036, aux.acc_seg: 73.1245, loss: 0.3411 +2022-02-28 01:34:46,528 - mmseg - INFO - Iter [60050/160000] lr: 1.249e-05, eta: 6:56:13, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2291, decode.acc_seg: 72.3410, aux.loss_ce: 0.1021, aux.acc_seg: 71.7186, loss: 0.3312 +2022-02-28 01:34:58,789 - mmseg - INFO - Iter [60100/160000] lr: 1.249e-05, eta: 6:56:00, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2143, decode.acc_seg: 73.1271, aux.loss_ce: 0.0937, aux.acc_seg: 72.6620, loss: 0.3080 +2022-02-28 01:35:11,070 - mmseg - INFO - Iter [60150/160000] lr: 1.248e-05, eta: 6:55:47, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2204, decode.acc_seg: 72.7262, aux.loss_ce: 0.0969, aux.acc_seg: 72.1699, loss: 0.3174 +2022-02-28 01:35:23,320 - mmseg - INFO - Iter [60200/160000] lr: 1.248e-05, eta: 6:55:35, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2132, decode.acc_seg: 73.4877, aux.loss_ce: 0.0942, aux.acc_seg: 72.8175, loss: 0.3074 +2022-02-28 01:35:35,497 - mmseg - INFO - Iter [60250/160000] lr: 1.247e-05, eta: 6:55:22, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2205, decode.acc_seg: 73.6405, aux.loss_ce: 0.0967, aux.acc_seg: 73.0163, loss: 0.3172 +2022-02-28 01:35:48,033 - mmseg - INFO - Iter [60300/160000] lr: 1.246e-05, eta: 6:55:09, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2218, decode.acc_seg: 73.6340, aux.loss_ce: 0.0972, aux.acc_seg: 73.1091, loss: 0.3189 +2022-02-28 01:36:00,211 - mmseg - INFO - Iter [60350/160000] lr: 1.246e-05, eta: 6:54:56, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2462, decode.acc_seg: 73.7302, aux.loss_ce: 0.1059, aux.acc_seg: 73.4048, loss: 0.3521 +2022-02-28 01:36:12,421 - mmseg - INFO - Iter [60400/160000] lr: 1.245e-05, eta: 6:54:43, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2397, decode.acc_seg: 73.3262, aux.loss_ce: 0.1046, aux.acc_seg: 72.7021, loss: 0.3443 +2022-02-28 01:36:24,593 - mmseg - INFO - Iter [60450/160000] lr: 1.244e-05, eta: 6:54:30, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2322, decode.acc_seg: 72.1370, aux.loss_ce: 0.1005, aux.acc_seg: 71.6730, loss: 0.3327 +2022-02-28 01:36:36,756 - mmseg - INFO - Iter [60500/160000] lr: 1.244e-05, eta: 6:54:17, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2170, decode.acc_seg: 74.8175, aux.loss_ce: 0.0953, aux.acc_seg: 74.2534, loss: 0.3123 +2022-02-28 01:36:49,125 - mmseg - INFO - Iter [60550/160000] lr: 1.243e-05, eta: 6:54:04, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2267, decode.acc_seg: 73.8640, aux.loss_ce: 0.1002, aux.acc_seg: 73.2265, loss: 0.3269 +2022-02-28 01:37:01,605 - mmseg - INFO - Iter [60600/160000] lr: 1.243e-05, eta: 6:53:52, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2248, decode.acc_seg: 74.9233, aux.loss_ce: 0.0981, aux.acc_seg: 74.3872, loss: 0.3229 +2022-02-28 01:37:16,105 - mmseg - INFO - Iter [60650/160000] lr: 1.242e-05, eta: 6:53:43, time: 0.290, data_time: 0.048, memory: 56778, decode.loss_ce: 0.2119, decode.acc_seg: 72.9090, aux.loss_ce: 0.0929, aux.acc_seg: 72.3769, loss: 0.3048 +2022-02-28 01:37:28,409 - mmseg - INFO - Iter [60700/160000] lr: 1.241e-05, eta: 6:53:30, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2043, decode.acc_seg: 73.8199, aux.loss_ce: 0.0893, aux.acc_seg: 73.3313, loss: 0.2936 +2022-02-28 01:37:40,656 - mmseg - INFO - Iter [60750/160000] lr: 1.241e-05, eta: 6:53:17, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2119, decode.acc_seg: 74.5816, aux.loss_ce: 0.0931, aux.acc_seg: 74.0228, loss: 0.3050 +2022-02-28 01:37:53,002 - mmseg - INFO - Iter [60800/160000] lr: 1.240e-05, eta: 6:53:04, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2155, decode.acc_seg: 71.5568, aux.loss_ce: 0.0946, aux.acc_seg: 71.0068, loss: 0.3101 +2022-02-28 01:38:05,261 - mmseg - INFO - Iter [60850/160000] lr: 1.239e-05, eta: 6:52:51, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2212, decode.acc_seg: 71.0649, aux.loss_ce: 0.0965, aux.acc_seg: 70.5775, loss: 0.3178 +2022-02-28 01:38:17,626 - mmseg - INFO - Iter [60900/160000] lr: 1.239e-05, eta: 6:52:39, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2267, decode.acc_seg: 74.0852, aux.loss_ce: 0.0978, aux.acc_seg: 73.4790, loss: 0.3245 +2022-02-28 01:38:29,818 - mmseg - INFO - Iter [60950/160000] lr: 1.238e-05, eta: 6:52:26, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2284, decode.acc_seg: 74.2319, aux.loss_ce: 0.0986, aux.acc_seg: 73.8143, loss: 0.3270 +2022-02-28 01:38:42,280 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 01:38:42,280 - mmseg - INFO - Iter [61000/160000] lr: 1.238e-05, eta: 6:52:13, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2210, decode.acc_seg: 73.4640, aux.loss_ce: 0.0981, aux.acc_seg: 72.7612, loss: 0.3192 +2022-02-28 01:38:54,819 - mmseg - INFO - Iter [61050/160000] lr: 1.237e-05, eta: 6:52:01, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2166, decode.acc_seg: 74.8246, aux.loss_ce: 0.0939, aux.acc_seg: 74.4355, loss: 0.3105 +2022-02-28 01:39:07,255 - mmseg - INFO - Iter [61100/160000] lr: 1.236e-05, eta: 6:51:48, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2387, decode.acc_seg: 75.3930, aux.loss_ce: 0.1018, aux.acc_seg: 75.0382, loss: 0.3405 +2022-02-28 01:39:19,818 - mmseg - INFO - Iter [61150/160000] lr: 1.236e-05, eta: 6:51:36, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2138, decode.acc_seg: 73.4974, aux.loss_ce: 0.0928, aux.acc_seg: 73.0187, loss: 0.3067 +2022-02-28 01:39:32,102 - mmseg - INFO - Iter [61200/160000] lr: 1.235e-05, eta: 6:51:23, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2407, decode.acc_seg: 74.0266, aux.loss_ce: 0.1030, aux.acc_seg: 73.4583, loss: 0.3437 +2022-02-28 01:39:44,435 - mmseg - INFO - Iter [61250/160000] lr: 1.234e-05, eta: 6:51:10, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2160, decode.acc_seg: 73.5550, aux.loss_ce: 0.0953, aux.acc_seg: 72.9981, loss: 0.3112 +2022-02-28 01:39:56,648 - mmseg - INFO - Iter [61300/160000] lr: 1.234e-05, eta: 6:50:57, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2272, decode.acc_seg: 73.4845, aux.loss_ce: 0.0996, aux.acc_seg: 72.8891, loss: 0.3268 +2022-02-28 01:40:08,963 - mmseg - INFO - Iter [61350/160000] lr: 1.233e-05, eta: 6:50:44, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2202, decode.acc_seg: 71.4884, aux.loss_ce: 0.0971, aux.acc_seg: 70.9764, loss: 0.3174 +2022-02-28 01:40:21,086 - mmseg - INFO - Iter [61400/160000] lr: 1.233e-05, eta: 6:50:31, time: 0.242, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2225, decode.acc_seg: 73.8383, aux.loss_ce: 0.0977, aux.acc_seg: 73.3029, loss: 0.3202 +2022-02-28 01:40:33,260 - mmseg - INFO - Iter [61450/160000] lr: 1.232e-05, eta: 6:50:18, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2284, decode.acc_seg: 72.7669, aux.loss_ce: 0.0987, aux.acc_seg: 72.4179, loss: 0.3270 +2022-02-28 01:40:45,519 - mmseg - INFO - Iter [61500/160000] lr: 1.231e-05, eta: 6:50:06, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2039, decode.acc_seg: 74.4760, aux.loss_ce: 0.0893, aux.acc_seg: 73.9825, loss: 0.2931 +2022-02-28 01:40:57,687 - mmseg - INFO - Iter [61550/160000] lr: 1.231e-05, eta: 6:49:53, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2215, decode.acc_seg: 72.7481, aux.loss_ce: 0.0973, aux.acc_seg: 72.2562, loss: 0.3188 +2022-02-28 01:41:09,972 - mmseg - INFO - Iter [61600/160000] lr: 1.230e-05, eta: 6:49:40, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2170, decode.acc_seg: 73.8855, aux.loss_ce: 0.0941, aux.acc_seg: 73.4118, loss: 0.3111 +2022-02-28 01:41:22,148 - mmseg - INFO - Iter [61650/160000] lr: 1.229e-05, eta: 6:49:27, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2204, decode.acc_seg: 73.0966, aux.loss_ce: 0.0972, aux.acc_seg: 72.5369, loss: 0.3176 +2022-02-28 01:41:34,473 - mmseg - INFO - Iter [61700/160000] lr: 1.229e-05, eta: 6:49:14, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2228, decode.acc_seg: 73.1163, aux.loss_ce: 0.0991, aux.acc_seg: 72.4931, loss: 0.3219 +2022-02-28 01:41:46,915 - mmseg - INFO - Iter [61750/160000] lr: 1.228e-05, eta: 6:49:01, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2194, decode.acc_seg: 72.6931, aux.loss_ce: 0.0946, aux.acc_seg: 72.2016, loss: 0.3139 +2022-02-28 01:41:59,260 - mmseg - INFO - Iter [61800/160000] lr: 1.228e-05, eta: 6:48:49, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2397, decode.acc_seg: 74.0546, aux.loss_ce: 0.1056, aux.acc_seg: 73.4110, loss: 0.3453 +2022-02-28 01:42:11,605 - mmseg - INFO - Iter [61850/160000] lr: 1.227e-05, eta: 6:48:36, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2268, decode.acc_seg: 74.9271, aux.loss_ce: 0.0995, aux.acc_seg: 74.3880, loss: 0.3263 +2022-02-28 01:42:26,273 - mmseg - INFO - Iter [61900/160000] lr: 1.226e-05, eta: 6:48:27, time: 0.293, data_time: 0.051, memory: 56778, decode.loss_ce: 0.2378, decode.acc_seg: 73.5175, aux.loss_ce: 0.1041, aux.acc_seg: 72.9496, loss: 0.3419 +2022-02-28 01:42:38,459 - mmseg - INFO - Iter [61950/160000] lr: 1.226e-05, eta: 6:48:14, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2131, decode.acc_seg: 72.7454, aux.loss_ce: 0.0934, aux.acc_seg: 72.2916, loss: 0.3065 +2022-02-28 01:42:50,817 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 01:42:50,817 - mmseg - INFO - Iter [62000/160000] lr: 1.225e-05, eta: 6:48:01, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2019, decode.acc_seg: 72.6946, aux.loss_ce: 0.0898, aux.acc_seg: 72.0635, loss: 0.2916 +2022-02-28 01:43:03,159 - mmseg - INFO - Iter [62050/160000] lr: 1.224e-05, eta: 6:47:49, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1979, decode.acc_seg: 72.9479, aux.loss_ce: 0.0876, aux.acc_seg: 72.4338, loss: 0.2856 +2022-02-28 01:43:15,369 - mmseg - INFO - Iter [62100/160000] lr: 1.224e-05, eta: 6:47:36, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2025, decode.acc_seg: 74.3074, aux.loss_ce: 0.0894, aux.acc_seg: 73.8312, loss: 0.2919 +2022-02-28 01:43:27,582 - mmseg - INFO - Iter [62150/160000] lr: 1.223e-05, eta: 6:47:23, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2083, decode.acc_seg: 73.7109, aux.loss_ce: 0.0903, aux.acc_seg: 73.2801, loss: 0.2986 +2022-02-28 01:43:39,899 - mmseg - INFO - Iter [62200/160000] lr: 1.223e-05, eta: 6:47:10, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2326, decode.acc_seg: 74.1413, aux.loss_ce: 0.1011, aux.acc_seg: 73.6380, loss: 0.3336 +2022-02-28 01:43:52,154 - mmseg - INFO - Iter [62250/160000] lr: 1.222e-05, eta: 6:46:57, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2048, decode.acc_seg: 74.7720, aux.loss_ce: 0.0889, aux.acc_seg: 74.2770, loss: 0.2937 +2022-02-28 01:44:04,671 - mmseg - INFO - Iter [62300/160000] lr: 1.221e-05, eta: 6:46:45, time: 0.251, data_time: 0.005, memory: 56778, decode.loss_ce: 0.2165, decode.acc_seg: 73.2601, aux.loss_ce: 0.0958, aux.acc_seg: 72.6740, loss: 0.3123 +2022-02-28 01:44:16,932 - mmseg - INFO - Iter [62350/160000] lr: 1.221e-05, eta: 6:46:32, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2182, decode.acc_seg: 74.2205, aux.loss_ce: 0.0957, aux.acc_seg: 73.7019, loss: 0.3139 +2022-02-28 01:44:29,252 - mmseg - INFO - Iter [62400/160000] lr: 1.220e-05, eta: 6:46:19, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2043, decode.acc_seg: 74.8366, aux.loss_ce: 0.0896, aux.acc_seg: 74.2907, loss: 0.2939 +2022-02-28 01:44:41,439 - mmseg - INFO - Iter [62450/160000] lr: 1.219e-05, eta: 6:46:06, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2220, decode.acc_seg: 72.1707, aux.loss_ce: 0.0977, aux.acc_seg: 71.5342, loss: 0.3196 +2022-02-28 01:44:53,695 - mmseg - INFO - Iter [62500/160000] lr: 1.219e-05, eta: 6:45:53, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2086, decode.acc_seg: 74.1724, aux.loss_ce: 0.0914, aux.acc_seg: 73.6363, loss: 0.2999 +2022-02-28 01:45:05,904 - mmseg - INFO - Iter [62550/160000] lr: 1.218e-05, eta: 6:45:40, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2246, decode.acc_seg: 73.9685, aux.loss_ce: 0.0990, aux.acc_seg: 73.2562, loss: 0.3235 +2022-02-28 01:45:18,153 - mmseg - INFO - Iter [62600/160000] lr: 1.218e-05, eta: 6:45:27, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2311, decode.acc_seg: 72.4160, aux.loss_ce: 0.1009, aux.acc_seg: 71.9124, loss: 0.3320 +2022-02-28 01:45:30,624 - mmseg - INFO - Iter [62650/160000] lr: 1.217e-05, eta: 6:45:15, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2391, decode.acc_seg: 73.5907, aux.loss_ce: 0.1027, aux.acc_seg: 73.1310, loss: 0.3418 +2022-02-28 01:45:42,971 - mmseg - INFO - Iter [62700/160000] lr: 1.216e-05, eta: 6:45:02, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2259, decode.acc_seg: 73.2627, aux.loss_ce: 0.0983, aux.acc_seg: 72.6791, loss: 0.3242 +2022-02-28 01:45:55,194 - mmseg - INFO - Iter [62750/160000] lr: 1.216e-05, eta: 6:44:49, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2165, decode.acc_seg: 73.9548, aux.loss_ce: 0.0950, aux.acc_seg: 73.4224, loss: 0.3115 +2022-02-28 01:46:07,590 - mmseg - INFO - Iter [62800/160000] lr: 1.215e-05, eta: 6:44:37, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2253, decode.acc_seg: 73.9620, aux.loss_ce: 0.0992, aux.acc_seg: 73.4333, loss: 0.3245 +2022-02-28 01:46:19,812 - mmseg - INFO - Iter [62850/160000] lr: 1.214e-05, eta: 6:44:24, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2120, decode.acc_seg: 72.9823, aux.loss_ce: 0.0932, aux.acc_seg: 72.4805, loss: 0.3052 +2022-02-28 01:46:32,101 - mmseg - INFO - Iter [62900/160000] lr: 1.214e-05, eta: 6:44:11, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2017, decode.acc_seg: 74.6540, aux.loss_ce: 0.0870, aux.acc_seg: 74.2912, loss: 0.2887 +2022-02-28 01:46:44,419 - mmseg - INFO - Iter [62950/160000] lr: 1.213e-05, eta: 6:43:58, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2272, decode.acc_seg: 73.2553, aux.loss_ce: 0.0993, aux.acc_seg: 72.7801, loss: 0.3265 +2022-02-28 01:46:56,672 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 01:46:56,672 - mmseg - INFO - Iter [63000/160000] lr: 1.213e-05, eta: 6:43:45, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2336, decode.acc_seg: 73.6023, aux.loss_ce: 0.1018, aux.acc_seg: 73.1301, loss: 0.3354 +2022-02-28 01:47:09,040 - mmseg - INFO - Iter [63050/160000] lr: 1.212e-05, eta: 6:43:33, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2275, decode.acc_seg: 74.5218, aux.loss_ce: 0.0991, aux.acc_seg: 74.0537, loss: 0.3266 +2022-02-28 01:47:21,310 - mmseg - INFO - Iter [63100/160000] lr: 1.211e-05, eta: 6:43:20, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2106, decode.acc_seg: 74.8484, aux.loss_ce: 0.0927, aux.acc_seg: 74.3084, loss: 0.3033 +2022-02-28 01:47:33,538 - mmseg - INFO - Iter [63150/160000] lr: 1.211e-05, eta: 6:43:07, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2218, decode.acc_seg: 73.0968, aux.loss_ce: 0.0966, aux.acc_seg: 72.6846, loss: 0.3184 +2022-02-28 01:47:48,189 - mmseg - INFO - Iter [63200/160000] lr: 1.210e-05, eta: 6:42:58, time: 0.293, data_time: 0.051, memory: 56778, decode.loss_ce: 0.2074, decode.acc_seg: 74.2988, aux.loss_ce: 0.0918, aux.acc_seg: 73.6272, loss: 0.2992 +2022-02-28 01:48:00,429 - mmseg - INFO - Iter [63250/160000] lr: 1.209e-05, eta: 6:42:45, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2291, decode.acc_seg: 74.3194, aux.loss_ce: 0.0989, aux.acc_seg: 73.8310, loss: 0.3280 +2022-02-28 01:48:12,709 - mmseg - INFO - Iter [63300/160000] lr: 1.209e-05, eta: 6:42:32, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2148, decode.acc_seg: 72.8424, aux.loss_ce: 0.0944, aux.acc_seg: 72.2478, loss: 0.3092 +2022-02-28 01:48:24,999 - mmseg - INFO - Iter [63350/160000] lr: 1.208e-05, eta: 6:42:19, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2237, decode.acc_seg: 73.3381, aux.loss_ce: 0.0975, aux.acc_seg: 72.8864, loss: 0.3212 +2022-02-28 01:48:37,504 - mmseg - INFO - Iter [63400/160000] lr: 1.208e-05, eta: 6:42:07, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2198, decode.acc_seg: 72.9960, aux.loss_ce: 0.0951, aux.acc_seg: 72.4802, loss: 0.3149 +2022-02-28 01:48:49,856 - mmseg - INFO - Iter [63450/160000] lr: 1.207e-05, eta: 6:41:54, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2316, decode.acc_seg: 73.6726, aux.loss_ce: 0.1020, aux.acc_seg: 73.1829, loss: 0.3337 +2022-02-28 01:49:02,098 - mmseg - INFO - Iter [63500/160000] lr: 1.206e-05, eta: 6:41:41, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2244, decode.acc_seg: 73.2006, aux.loss_ce: 0.0958, aux.acc_seg: 72.8344, loss: 0.3202 +2022-02-28 01:49:14,458 - mmseg - INFO - Iter [63550/160000] lr: 1.206e-05, eta: 6:41:29, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2105, decode.acc_seg: 75.1384, aux.loss_ce: 0.0924, aux.acc_seg: 74.6530, loss: 0.3028 +2022-02-28 01:49:26,671 - mmseg - INFO - Iter [63600/160000] lr: 1.205e-05, eta: 6:41:16, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2142, decode.acc_seg: 74.6776, aux.loss_ce: 0.0949, aux.acc_seg: 74.1180, loss: 0.3090 +2022-02-28 01:49:38,909 - mmseg - INFO - Iter [63650/160000] lr: 1.204e-05, eta: 6:41:03, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2164, decode.acc_seg: 71.8531, aux.loss_ce: 0.0963, aux.acc_seg: 71.2087, loss: 0.3126 +2022-02-28 01:49:51,096 - mmseg - INFO - Iter [63700/160000] lr: 1.204e-05, eta: 6:40:50, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2217, decode.acc_seg: 74.1467, aux.loss_ce: 0.0967, aux.acc_seg: 73.6839, loss: 0.3184 +2022-02-28 01:50:03,343 - mmseg - INFO - Iter [63750/160000] lr: 1.203e-05, eta: 6:40:37, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2208, decode.acc_seg: 74.9125, aux.loss_ce: 0.0955, aux.acc_seg: 74.4781, loss: 0.3163 +2022-02-28 01:50:15,501 - mmseg - INFO - Iter [63800/160000] lr: 1.203e-05, eta: 6:40:24, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2342, decode.acc_seg: 73.4332, aux.loss_ce: 0.1013, aux.acc_seg: 73.0147, loss: 0.3356 +2022-02-28 01:50:27,828 - mmseg - INFO - Iter [63850/160000] lr: 1.202e-05, eta: 6:40:11, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2150, decode.acc_seg: 73.7212, aux.loss_ce: 0.0936, aux.acc_seg: 73.1786, loss: 0.3086 +2022-02-28 01:50:40,165 - mmseg - INFO - Iter [63900/160000] lr: 1.201e-05, eta: 6:39:59, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2030, decode.acc_seg: 73.5643, aux.loss_ce: 0.0901, aux.acc_seg: 73.0724, loss: 0.2930 +2022-02-28 01:50:52,355 - mmseg - INFO - Iter [63950/160000] lr: 1.201e-05, eta: 6:39:46, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2210, decode.acc_seg: 73.4067, aux.loss_ce: 0.0973, aux.acc_seg: 72.7764, loss: 0.3184 +2022-02-28 01:51:04,594 - mmseg - INFO - Saving checkpoint at 64000 iterations +2022-02-28 01:51:07,504 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 01:51:07,504 - mmseg - INFO - Iter [64000/160000] lr: 1.200e-05, eta: 6:39:37, time: 0.303, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2093, decode.acc_seg: 73.5280, aux.loss_ce: 0.0926, aux.acc_seg: 72.9068, loss: 0.3019 +2022-02-28 01:51:28,149 - mmseg - INFO - per class results: +2022-02-28 01:51:28,156 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 77.38 | 88.49 | +| building | 82.76 | 93.1 | +| sky | 94.42 | 98.01 | +| floor | 80.56 | 90.76 | +| tree | 73.74 | 86.97 | +| ceiling | 83.58 | 92.28 | +| road | 82.7 | 88.67 | +| bed | 89.64 | 95.33 | +| windowpane | 61.71 | 79.2 | +| grass | 67.06 | 87.11 | +| cabinet | 62.28 | 73.16 | +| sidewalk | 65.47 | 84.86 | +| person | 80.77 | 92.65 | +| earth | 33.27 | 44.24 | +| door | 51.1 | 64.41 | +| table | 61.23 | 81.6 | +| mountain | 59.37 | 72.25 | +| plant | 50.17 | 58.17 | +| curtain | 73.82 | 83.51 | +| chair | 58.64 | 72.15 | +| car | 84.13 | 92.55 | +| water | 57.25 | 67.22 | +| painting | 72.35 | 88.34 | +| sofa | 68.11 | 85.96 | +| shelf | 43.13 | 59.86 | +| house | 41.97 | 48.52 | +| sea | 60.63 | 84.33 | +| mirror | 67.14 | 74.69 | +| rug | 61.1 | 69.17 | +| field | 26.24 | 41.05 | +| armchair | 41.89 | 58.22 | +| seat | 62.65 | 82.77 | +| fence | 48.33 | 61.3 | +| desk | 47.73 | 62.99 | +| rock | 41.21 | 67.56 | +| wardrobe | 55.27 | 72.39 | +| lamp | 62.51 | 76.53 | +| bathtub | 80.81 | 84.83 | +| railing | 36.84 | 53.11 | +| cushion | 60.2 | 74.7 | +| base | 28.06 | 47.09 | +| box | 24.92 | 32.61 | +| column | 44.21 | 59.99 | +| signboard | 36.9 | 47.51 | +| chest of drawers | 37.28 | 57.83 | +| counter | 23.86 | 27.95 | +| sand | 54.7 | 77.33 | +| sink | 73.8 | 79.06 | +| skyscraper | 63.84 | 80.49 | +| fireplace | 77.74 | 90.08 | +| refrigerator | 75.96 | 83.84 | +| grandstand | 43.6 | 77.65 | +| path | 34.44 | 45.93 | +| stairs | 25.81 | 30.75 | +| runway | 65.29 | 85.24 | +| case | 54.35 | 67.77 | +| pool table | 92.68 | 96.14 | +| pillow | 57.93 | 68.16 | +| screen door | 73.43 | 76.56 | +| stairway | 25.0 | 35.1 | +| river | 19.79 | 47.39 | +| bridge | 50.3 | 57.33 | +| bookcase | 40.34 | 59.96 | +| blind | 40.23 | 45.07 | +| coffee table | 66.1 | 81.79 | +| toilet | 85.58 | 90.25 | +| flower | 40.65 | 57.94 | +| book | 45.4 | 66.96 | +| hill | 13.33 | 25.04 | +| bench | 40.19 | 47.94 | +| countertop | 58.13 | 75.21 | +| stove | 78.78 | 84.67 | +| palm | 52.94 | 80.9 | +| kitchen island | 43.32 | 73.39 | +| computer | 67.77 | 80.36 | +| swivel chair | 44.89 | 61.43 | +| boat | 42.2 | 53.95 | +| bar | 30.75 | 34.06 | +| arcade machine | 42.16 | 44.81 | +| hovel | 59.93 | 72.66 | +| bus | 86.22 | 93.98 | +| towel | 71.42 | 80.04 | +| light | 51.83 | 55.63 | +| truck | 29.98 | 35.05 | +| tower | 18.18 | 28.83 | +| chandelier | 65.28 | 78.27 | +| awning | 31.39 | 34.55 | +| streetlight | 24.63 | 29.31 | +| booth | 48.67 | 53.35 | +| television receiver | 62.16 | 68.25 | +| airplane | 58.53 | 62.54 | +| dirt track | 0.0 | 0.0 | +| apparel | 30.71 | 37.57 | +| pole | 28.47 | 39.66 | +| land | 2.92 | 5.16 | +| bannister | 15.12 | 20.17 | +| escalator | 44.43 | 63.26 | +| ottoman | 53.2 | 61.86 | +| bottle | 36.14 | 59.61 | +| buffet | 48.47 | 54.23 | +| poster | 30.42 | 48.66 | +| stage | 16.91 | 21.86 | +| van | 40.04 | 54.84 | +| ship | 18.17 | 25.69 | +| fountain | 23.65 | 23.9 | +| conveyer belt | 78.0 | 87.2 | +| canopy | 43.88 | 61.21 | +| washer | 76.02 | 77.9 | +| plaything | 31.24 | 41.01 | +| swimming pool | 59.92 | 62.89 | +| stool | 37.79 | 54.19 | +| barrel | 50.72 | 67.48 | +| basket | 35.19 | 44.56 | +| waterfall | 62.55 | 67.71 | +| tent | 87.31 | 97.36 | +| bag | 15.11 | 17.41 | +| minibike | 69.63 | 81.09 | +| cradle | 83.68 | 97.42 | +| oven | 48.6 | 59.29 | +| ball | 53.1 | 64.63 | +| food | 45.61 | 50.49 | +| step | 13.27 | 16.65 | +| tank | 62.02 | 64.01 | +| trade name | 22.68 | 24.97 | +| microwave | 79.38 | 87.81 | +| pot | 37.74 | 42.39 | +| animal | 51.72 | 52.71 | +| bicycle | 55.5 | 75.86 | +| lake | 50.13 | 63.12 | +| dishwasher | 67.05 | 68.44 | +| screen | 56.58 | 76.09 | +| blanket | 12.84 | 15.91 | +| sculpture | 67.36 | 83.18 | +| hood | 60.22 | 66.07 | +| sconce | 45.23 | 53.33 | +| vase | 41.37 | 55.67 | +| traffic light | 29.63 | 46.78 | +| tray | 5.64 | 7.83 | +| ashcan | 43.2 | 55.59 | +| fan | 60.61 | 71.5 | +| pier | 32.14 | 41.73 | +| crt screen | 6.76 | 11.3 | +| plate | 46.83 | 74.58 | +| monitor | 45.21 | 64.48 | +| bulletin board | 27.44 | 31.74 | +| shower | 0.27 | 0.3 | +| radiator | 53.49 | 60.89 | +| glass | 13.96 | 14.75 | +| clock | 30.15 | 33.8 | +| flag | 62.29 | 72.08 | ++---------------------+-------+-------+ +2022-02-28 01:51:28,156 - mmseg - INFO - Summary: +2022-02-28 01:51:28,156 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 83.17 | 49.88 | 60.95 | ++-------+-------+-------+ +2022-02-28 01:51:28,164 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 01:51:28,164 - mmseg - INFO - Iter(val) [250] aAcc: 0.8317, mIoU: 0.4988, mAcc: 0.6095, IoU.wall: 0.7738, IoU.building: 0.8276, IoU.sky: 0.9442, IoU.floor: 0.8056, IoU.tree: 0.7374, IoU.ceiling: 0.8358, IoU.road: 0.8270, IoU.bed : 0.8964, IoU.windowpane: 0.6171, IoU.grass: 0.6706, IoU.cabinet: 0.6228, IoU.sidewalk: 0.6547, IoU.person: 0.8077, IoU.earth: 0.3327, IoU.door: 0.5110, IoU.table: 0.6123, IoU.mountain: 0.5937, IoU.plant: 0.5017, IoU.curtain: 0.7382, IoU.chair: 0.5864, IoU.car: 0.8413, IoU.water: 0.5725, IoU.painting: 0.7235, IoU.sofa: 0.6811, IoU.shelf: 0.4313, IoU.house: 0.4197, IoU.sea: 0.6063, IoU.mirror: 0.6714, IoU.rug: 0.6110, IoU.field: 0.2624, IoU.armchair: 0.4189, IoU.seat: 0.6265, IoU.fence: 0.4833, IoU.desk: 0.4773, IoU.rock: 0.4121, IoU.wardrobe: 0.5527, IoU.lamp: 0.6251, IoU.bathtub: 0.8081, IoU.railing: 0.3684, IoU.cushion: 0.6020, IoU.base: 0.2806, IoU.box: 0.2492, IoU.column: 0.4421, IoU.signboard: 0.3690, IoU.chest of drawers: 0.3728, IoU.counter: 0.2386, IoU.sand: 0.5470, IoU.sink: 0.7380, IoU.skyscraper: 0.6384, IoU.fireplace: 0.7774, IoU.refrigerator: 0.7596, IoU.grandstand: 0.4360, IoU.path: 0.3444, IoU.stairs: 0.2581, IoU.runway: 0.6529, IoU.case: 0.5435, IoU.pool table: 0.9268, IoU.pillow: 0.5793, IoU.screen door: 0.7343, IoU.stairway: 0.2500, IoU.river: 0.1979, IoU.bridge: 0.5030, IoU.bookcase: 0.4034, IoU.blind: 0.4023, IoU.coffee table: 0.6610, IoU.toilet: 0.8558, IoU.flower: 0.4065, IoU.book: 0.4540, IoU.hill: 0.1333, IoU.bench: 0.4019, IoU.countertop: 0.5813, IoU.stove: 0.7878, IoU.palm: 0.5294, IoU.kitchen island: 0.4332, IoU.computer: 0.6777, IoU.swivel chair: 0.4489, IoU.boat: 0.4220, IoU.bar: 0.3075, IoU.arcade machine: 0.4216, IoU.hovel: 0.5993, IoU.bus: 0.8622, IoU.towel: 0.7142, IoU.light: 0.5183, IoU.truck: 0.2998, IoU.tower: 0.1818, IoU.chandelier: 0.6528, IoU.awning: 0.3139, IoU.streetlight: 0.2463, IoU.booth: 0.4867, IoU.television receiver: 0.6216, IoU.airplane: 0.5853, IoU.dirt track: 0.0000, IoU.apparel: 0.3071, IoU.pole: 0.2847, IoU.land: 0.0292, IoU.bannister: 0.1512, IoU.escalator: 0.4443, IoU.ottoman: 0.5320, IoU.bottle: 0.3614, IoU.buffet: 0.4847, IoU.poster: 0.3042, IoU.stage: 0.1691, IoU.van: 0.4004, IoU.ship: 0.1817, IoU.fountain: 0.2365, IoU.conveyer belt: 0.7800, IoU.canopy: 0.4388, IoU.washer: 0.7602, IoU.plaything: 0.3124, IoU.swimming pool: 0.5992, IoU.stool: 0.3779, IoU.barrel: 0.5072, IoU.basket: 0.3519, IoU.waterfall: 0.6255, IoU.tent: 0.8731, IoU.bag: 0.1511, IoU.minibike: 0.6963, IoU.cradle: 0.8368, IoU.oven: 0.4860, IoU.ball: 0.5310, IoU.food: 0.4561, IoU.step: 0.1327, IoU.tank: 0.6202, IoU.trade name: 0.2268, IoU.microwave: 0.7938, IoU.pot: 0.3774, IoU.animal: 0.5172, IoU.bicycle: 0.5550, IoU.lake: 0.5013, IoU.dishwasher: 0.6705, IoU.screen: 0.5658, IoU.blanket: 0.1284, IoU.sculpture: 0.6736, IoU.hood: 0.6022, IoU.sconce: 0.4523, IoU.vase: 0.4137, IoU.traffic light: 0.2963, IoU.tray: 0.0564, IoU.ashcan: 0.4320, IoU.fan: 0.6061, IoU.pier: 0.3214, IoU.crt screen: 0.0676, IoU.plate: 0.4683, IoU.monitor: 0.4521, IoU.bulletin board: 0.2744, IoU.shower: 0.0027, IoU.radiator: 0.5349, IoU.glass: 0.1396, IoU.clock: 0.3015, IoU.flag: 0.6229, Acc.wall: 0.8849, Acc.building: 0.9310, Acc.sky: 0.9801, Acc.floor: 0.9076, Acc.tree: 0.8697, Acc.ceiling: 0.9228, Acc.road: 0.8867, Acc.bed : 0.9533, Acc.windowpane: 0.7920, Acc.grass: 0.8711, Acc.cabinet: 0.7316, Acc.sidewalk: 0.8486, Acc.person: 0.9265, Acc.earth: 0.4424, Acc.door: 0.6441, Acc.table: 0.8160, Acc.mountain: 0.7225, Acc.plant: 0.5817, Acc.curtain: 0.8351, Acc.chair: 0.7215, Acc.car: 0.9255, Acc.water: 0.6722, Acc.painting: 0.8834, Acc.sofa: 0.8596, Acc.shelf: 0.5986, Acc.house: 0.4852, Acc.sea: 0.8433, Acc.mirror: 0.7469, Acc.rug: 0.6917, Acc.field: 0.4105, Acc.armchair: 0.5822, Acc.seat: 0.8277, Acc.fence: 0.6130, Acc.desk: 0.6299, Acc.rock: 0.6756, Acc.wardrobe: 0.7239, Acc.lamp: 0.7653, Acc.bathtub: 0.8483, Acc.railing: 0.5311, Acc.cushion: 0.7470, Acc.base: 0.4709, Acc.box: 0.3261, Acc.column: 0.5999, Acc.signboard: 0.4751, Acc.chest of drawers: 0.5783, Acc.counter: 0.2795, Acc.sand: 0.7733, Acc.sink: 0.7906, Acc.skyscraper: 0.8049, Acc.fireplace: 0.9008, Acc.refrigerator: 0.8384, Acc.grandstand: 0.7765, Acc.path: 0.4593, Acc.stairs: 0.3075, Acc.runway: 0.8524, Acc.case: 0.6777, Acc.pool table: 0.9614, Acc.pillow: 0.6816, Acc.screen door: 0.7656, Acc.stairway: 0.3510, Acc.river: 0.4739, Acc.bridge: 0.5733, Acc.bookcase: 0.5996, Acc.blind: 0.4507, Acc.coffee table: 0.8179, Acc.toilet: 0.9025, Acc.flower: 0.5794, Acc.book: 0.6696, Acc.hill: 0.2504, Acc.bench: 0.4794, Acc.countertop: 0.7521, Acc.stove: 0.8467, Acc.palm: 0.8090, Acc.kitchen island: 0.7339, Acc.computer: 0.8036, Acc.swivel chair: 0.6143, Acc.boat: 0.5395, Acc.bar: 0.3406, Acc.arcade machine: 0.4481, Acc.hovel: 0.7266, Acc.bus: 0.9398, Acc.towel: 0.8004, Acc.light: 0.5563, Acc.truck: 0.3505, Acc.tower: 0.2883, Acc.chandelier: 0.7827, Acc.awning: 0.3455, Acc.streetlight: 0.2931, Acc.booth: 0.5335, Acc.television receiver: 0.6825, Acc.airplane: 0.6254, Acc.dirt track: 0.0000, Acc.apparel: 0.3757, Acc.pole: 0.3966, Acc.land: 0.0516, Acc.bannister: 0.2017, Acc.escalator: 0.6326, Acc.ottoman: 0.6186, Acc.bottle: 0.5961, Acc.buffet: 0.5423, Acc.poster: 0.4866, Acc.stage: 0.2186, Acc.van: 0.5484, Acc.ship: 0.2569, Acc.fountain: 0.2390, Acc.conveyer belt: 0.8720, Acc.canopy: 0.6121, Acc.washer: 0.7790, Acc.plaything: 0.4101, Acc.swimming pool: 0.6289, Acc.stool: 0.5419, Acc.barrel: 0.6748, Acc.basket: 0.4456, Acc.waterfall: 0.6771, Acc.tent: 0.9736, Acc.bag: 0.1741, Acc.minibike: 0.8109, Acc.cradle: 0.9742, Acc.oven: 0.5929, Acc.ball: 0.6463, Acc.food: 0.5049, Acc.step: 0.1665, Acc.tank: 0.6401, Acc.trade name: 0.2497, Acc.microwave: 0.8781, Acc.pot: 0.4239, Acc.animal: 0.5271, Acc.bicycle: 0.7586, Acc.lake: 0.6312, Acc.dishwasher: 0.6844, Acc.screen: 0.7609, Acc.blanket: 0.1591, Acc.sculpture: 0.8318, Acc.hood: 0.6607, Acc.sconce: 0.5333, Acc.vase: 0.5567, Acc.traffic light: 0.4678, Acc.tray: 0.0783, Acc.ashcan: 0.5559, Acc.fan: 0.7150, Acc.pier: 0.4173, Acc.crt screen: 0.1130, Acc.plate: 0.7458, Acc.monitor: 0.6448, Acc.bulletin board: 0.3174, Acc.shower: 0.0030, Acc.radiator: 0.6089, Acc.glass: 0.1475, Acc.clock: 0.3380, Acc.flag: 0.7208 +2022-02-28 01:51:40,474 - mmseg - INFO - Iter [64050/160000] lr: 1.199e-05, eta: 6:39:55, time: 0.659, data_time: 0.417, memory: 56778, decode.loss_ce: 0.2032, decode.acc_seg: 74.3965, aux.loss_ce: 0.0904, aux.acc_seg: 73.7794, loss: 0.2936 +2022-02-28 01:51:52,714 - mmseg - INFO - Iter [64100/160000] lr: 1.199e-05, eta: 6:39:43, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2301, decode.acc_seg: 72.7007, aux.loss_ce: 0.1022, aux.acc_seg: 72.1301, loss: 0.3324 +2022-02-28 01:52:05,003 - mmseg - INFO - Iter [64150/160000] lr: 1.198e-05, eta: 6:39:30, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2079, decode.acc_seg: 73.4097, aux.loss_ce: 0.0907, aux.acc_seg: 72.9301, loss: 0.2985 +2022-02-28 01:52:17,202 - mmseg - INFO - Iter [64200/160000] lr: 1.198e-05, eta: 6:39:17, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2200, decode.acc_seg: 73.1423, aux.loss_ce: 0.0967, aux.acc_seg: 72.6883, loss: 0.3167 +2022-02-28 01:52:29,580 - mmseg - INFO - Iter [64250/160000] lr: 1.197e-05, eta: 6:39:04, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2213, decode.acc_seg: 72.2051, aux.loss_ce: 0.0970, aux.acc_seg: 71.6927, loss: 0.3182 +2022-02-28 01:52:41,998 - mmseg - INFO - Iter [64300/160000] lr: 1.196e-05, eta: 6:38:51, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2223, decode.acc_seg: 73.2008, aux.loss_ce: 0.0975, aux.acc_seg: 72.5920, loss: 0.3199 +2022-02-28 01:52:54,230 - mmseg - INFO - Iter [64350/160000] lr: 1.196e-05, eta: 6:38:38, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2207, decode.acc_seg: 74.5559, aux.loss_ce: 0.0972, aux.acc_seg: 73.9605, loss: 0.3179 +2022-02-28 01:53:06,435 - mmseg - INFO - Iter [64400/160000] lr: 1.195e-05, eta: 6:38:26, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2210, decode.acc_seg: 72.7760, aux.loss_ce: 0.0971, aux.acc_seg: 72.1981, loss: 0.3181 +2022-02-28 01:53:21,032 - mmseg - INFO - Iter [64450/160000] lr: 1.194e-05, eta: 6:38:16, time: 0.292, data_time: 0.050, memory: 56778, decode.loss_ce: 0.2156, decode.acc_seg: 73.1780, aux.loss_ce: 0.0946, aux.acc_seg: 72.6147, loss: 0.3102 +2022-02-28 01:53:33,353 - mmseg - INFO - Iter [64500/160000] lr: 1.194e-05, eta: 6:38:03, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2089, decode.acc_seg: 72.6250, aux.loss_ce: 0.0931, aux.acc_seg: 71.9451, loss: 0.3020 +2022-02-28 01:53:45,480 - mmseg - INFO - Iter [64550/160000] lr: 1.193e-05, eta: 6:37:50, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2132, decode.acc_seg: 74.1619, aux.loss_ce: 0.0940, aux.acc_seg: 73.5949, loss: 0.3072 +2022-02-28 01:53:57,792 - mmseg - INFO - Iter [64600/160000] lr: 1.193e-05, eta: 6:37:38, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2130, decode.acc_seg: 74.9223, aux.loss_ce: 0.0946, aux.acc_seg: 74.2070, loss: 0.3076 +2022-02-28 01:54:10,107 - mmseg - INFO - Iter [64650/160000] lr: 1.192e-05, eta: 6:37:25, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2171, decode.acc_seg: 73.2748, aux.loss_ce: 0.0945, aux.acc_seg: 72.7621, loss: 0.3116 +2022-02-28 01:54:22,419 - mmseg - INFO - Iter [64700/160000] lr: 1.191e-05, eta: 6:37:12, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2255, decode.acc_seg: 72.0421, aux.loss_ce: 0.0999, aux.acc_seg: 71.2928, loss: 0.3253 +2022-02-28 01:54:34,739 - mmseg - INFO - Iter [64750/160000] lr: 1.191e-05, eta: 6:36:59, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2044, decode.acc_seg: 74.1252, aux.loss_ce: 0.0911, aux.acc_seg: 73.5865, loss: 0.2955 +2022-02-28 01:54:47,069 - mmseg - INFO - Iter [64800/160000] lr: 1.190e-05, eta: 6:36:46, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1915, decode.acc_seg: 73.8098, aux.loss_ce: 0.0848, aux.acc_seg: 73.2564, loss: 0.2763 +2022-02-28 01:54:59,431 - mmseg - INFO - Iter [64850/160000] lr: 1.189e-05, eta: 6:36:34, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2160, decode.acc_seg: 73.2341, aux.loss_ce: 0.0950, aux.acc_seg: 72.5902, loss: 0.3110 +2022-02-28 01:55:11,631 - mmseg - INFO - Iter [64900/160000] lr: 1.189e-05, eta: 6:36:21, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2097, decode.acc_seg: 74.7542, aux.loss_ce: 0.0912, aux.acc_seg: 74.2871, loss: 0.3010 +2022-02-28 01:55:24,254 - mmseg - INFO - Iter [64950/160000] lr: 1.188e-05, eta: 6:36:08, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2226, decode.acc_seg: 74.1378, aux.loss_ce: 0.0974, aux.acc_seg: 73.5699, loss: 0.3200 +2022-02-28 01:55:36,732 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 01:55:36,732 - mmseg - INFO - Iter [65000/160000] lr: 1.188e-05, eta: 6:35:56, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2293, decode.acc_seg: 74.3134, aux.loss_ce: 0.0991, aux.acc_seg: 73.9222, loss: 0.3284 +2022-02-28 01:55:49,252 - mmseg - INFO - Iter [65050/160000] lr: 1.187e-05, eta: 6:35:43, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2150, decode.acc_seg: 74.8091, aux.loss_ce: 0.0956, aux.acc_seg: 74.1896, loss: 0.3106 +2022-02-28 01:56:01,448 - mmseg - INFO - Iter [65100/160000] lr: 1.186e-05, eta: 6:35:30, time: 0.244, data_time: 0.003, memory: 56778, decode.loss_ce: 0.2155, decode.acc_seg: 72.1525, aux.loss_ce: 0.0942, aux.acc_seg: 71.6940, loss: 0.3097 +2022-02-28 01:56:13,749 - mmseg - INFO - Iter [65150/160000] lr: 1.186e-05, eta: 6:35:18, time: 0.246, data_time: 0.003, memory: 56778, decode.loss_ce: 0.2120, decode.acc_seg: 74.7101, aux.loss_ce: 0.0935, aux.acc_seg: 74.1283, loss: 0.3055 +2022-02-28 01:56:25,909 - mmseg - INFO - Iter [65200/160000] lr: 1.185e-05, eta: 6:35:05, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2085, decode.acc_seg: 74.5171, aux.loss_ce: 0.0912, aux.acc_seg: 74.0028, loss: 0.2997 +2022-02-28 01:56:38,316 - mmseg - INFO - Iter [65250/160000] lr: 1.184e-05, eta: 6:34:52, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2150, decode.acc_seg: 74.0038, aux.loss_ce: 0.0948, aux.acc_seg: 73.4228, loss: 0.3098 +2022-02-28 01:56:50,541 - mmseg - INFO - Iter [65300/160000] lr: 1.184e-05, eta: 6:34:39, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2274, decode.acc_seg: 73.4339, aux.loss_ce: 0.0996, aux.acc_seg: 72.8705, loss: 0.3269 +2022-02-28 01:57:02,802 - mmseg - INFO - Iter [65350/160000] lr: 1.183e-05, eta: 6:34:26, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2287, decode.acc_seg: 73.2288, aux.loss_ce: 0.1005, aux.acc_seg: 72.7016, loss: 0.3292 +2022-02-28 01:57:15,108 - mmseg - INFO - Iter [65400/160000] lr: 1.183e-05, eta: 6:34:13, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2340, decode.acc_seg: 73.2304, aux.loss_ce: 0.1029, aux.acc_seg: 72.6787, loss: 0.3368 +2022-02-28 01:57:27,294 - mmseg - INFO - Iter [65450/160000] lr: 1.182e-05, eta: 6:34:00, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2143, decode.acc_seg: 75.1028, aux.loss_ce: 0.0946, aux.acc_seg: 74.4971, loss: 0.3089 +2022-02-28 01:57:39,506 - mmseg - INFO - Iter [65500/160000] lr: 1.181e-05, eta: 6:33:48, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2077, decode.acc_seg: 75.0634, aux.loss_ce: 0.0910, aux.acc_seg: 74.5136, loss: 0.2986 +2022-02-28 01:57:51,913 - mmseg - INFO - Iter [65550/160000] lr: 1.181e-05, eta: 6:33:35, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2216, decode.acc_seg: 74.4093, aux.loss_ce: 0.0971, aux.acc_seg: 73.7998, loss: 0.3187 +2022-02-28 01:58:04,104 - mmseg - INFO - Iter [65600/160000] lr: 1.180e-05, eta: 6:33:22, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2009, decode.acc_seg: 74.0745, aux.loss_ce: 0.0891, aux.acc_seg: 73.5465, loss: 0.2900 +2022-02-28 01:58:16,273 - mmseg - INFO - Iter [65650/160000] lr: 1.179e-05, eta: 6:33:09, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2182, decode.acc_seg: 73.1293, aux.loss_ce: 0.0966, aux.acc_seg: 72.5566, loss: 0.3148 +2022-02-28 01:58:30,820 - mmseg - INFO - Iter [65700/160000] lr: 1.179e-05, eta: 6:32:59, time: 0.291, data_time: 0.047, memory: 56778, decode.loss_ce: 0.2091, decode.acc_seg: 74.7776, aux.loss_ce: 0.0930, aux.acc_seg: 74.1510, loss: 0.3021 +2022-02-28 01:58:43,215 - mmseg - INFO - Iter [65750/160000] lr: 1.178e-05, eta: 6:32:47, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2128, decode.acc_seg: 73.3074, aux.loss_ce: 0.0944, aux.acc_seg: 72.7262, loss: 0.3073 +2022-02-28 01:58:55,444 - mmseg - INFO - Iter [65800/160000] lr: 1.178e-05, eta: 6:32:34, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1944, decode.acc_seg: 74.9054, aux.loss_ce: 0.0860, aux.acc_seg: 74.3048, loss: 0.2804 +2022-02-28 01:59:07,686 - mmseg - INFO - Iter [65850/160000] lr: 1.177e-05, eta: 6:32:21, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2060, decode.acc_seg: 73.6300, aux.loss_ce: 0.0906, aux.acc_seg: 73.0924, loss: 0.2966 +2022-02-28 01:59:20,023 - mmseg - INFO - Iter [65900/160000] lr: 1.176e-05, eta: 6:32:08, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2165, decode.acc_seg: 72.8947, aux.loss_ce: 0.0949, aux.acc_seg: 72.3841, loss: 0.3114 +2022-02-28 01:59:32,356 - mmseg - INFO - Iter [65950/160000] lr: 1.176e-05, eta: 6:31:56, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2100, decode.acc_seg: 74.9775, aux.loss_ce: 0.0919, aux.acc_seg: 74.6054, loss: 0.3019 +2022-02-28 01:59:44,515 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 01:59:44,515 - mmseg - INFO - Iter [66000/160000] lr: 1.175e-05, eta: 6:31:43, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2117, decode.acc_seg: 74.8842, aux.loss_ce: 0.0933, aux.acc_seg: 74.3596, loss: 0.3050 +2022-02-28 01:59:57,026 - mmseg - INFO - Iter [66050/160000] lr: 1.174e-05, eta: 6:31:30, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2202, decode.acc_seg: 74.2569, aux.loss_ce: 0.0965, aux.acc_seg: 73.6929, loss: 0.3167 +2022-02-28 02:00:09,266 - mmseg - INFO - Iter [66100/160000] lr: 1.174e-05, eta: 6:31:17, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2104, decode.acc_seg: 74.4183, aux.loss_ce: 0.0922, aux.acc_seg: 73.8790, loss: 0.3025 +2022-02-28 02:00:21,638 - mmseg - INFO - Iter [66150/160000] lr: 1.173e-05, eta: 6:31:04, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2046, decode.acc_seg: 73.1170, aux.loss_ce: 0.0896, aux.acc_seg: 72.6413, loss: 0.2942 +2022-02-28 02:00:33,886 - mmseg - INFO - Iter [66200/160000] lr: 1.173e-05, eta: 6:30:52, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2097, decode.acc_seg: 72.7786, aux.loss_ce: 0.0925, aux.acc_seg: 72.1913, loss: 0.3022 +2022-02-28 02:00:46,180 - mmseg - INFO - Iter [66250/160000] lr: 1.172e-05, eta: 6:30:39, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2112, decode.acc_seg: 73.3452, aux.loss_ce: 0.0924, aux.acc_seg: 72.8774, loss: 0.3036 +2022-02-28 02:00:58,415 - mmseg - INFO - Iter [66300/160000] lr: 1.171e-05, eta: 6:30:26, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2232, decode.acc_seg: 72.2357, aux.loss_ce: 0.0973, aux.acc_seg: 71.7524, loss: 0.3205 +2022-02-28 02:01:10,610 - mmseg - INFO - Iter [66350/160000] lr: 1.171e-05, eta: 6:30:13, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2156, decode.acc_seg: 73.3224, aux.loss_ce: 0.0934, aux.acc_seg: 72.9747, loss: 0.3089 +2022-02-28 02:01:23,022 - mmseg - INFO - Iter [66400/160000] lr: 1.170e-05, eta: 6:30:00, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2070, decode.acc_seg: 72.7246, aux.loss_ce: 0.0901, aux.acc_seg: 72.2746, loss: 0.2971 +2022-02-28 02:01:35,241 - mmseg - INFO - Iter [66450/160000] lr: 1.169e-05, eta: 6:29:47, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2051, decode.acc_seg: 73.1522, aux.loss_ce: 0.0912, aux.acc_seg: 72.6146, loss: 0.2962 +2022-02-28 02:01:47,406 - mmseg - INFO - Iter [66500/160000] lr: 1.169e-05, eta: 6:29:35, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2114, decode.acc_seg: 74.7321, aux.loss_ce: 0.0936, aux.acc_seg: 74.1766, loss: 0.3050 +2022-02-28 02:01:59,671 - mmseg - INFO - Iter [66550/160000] lr: 1.168e-05, eta: 6:29:22, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2026, decode.acc_seg: 74.6426, aux.loss_ce: 0.0896, aux.acc_seg: 74.0412, loss: 0.2922 +2022-02-28 02:02:12,046 - mmseg - INFO - Iter [66600/160000] lr: 1.168e-05, eta: 6:29:09, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2163, decode.acc_seg: 74.5951, aux.loss_ce: 0.0950, aux.acc_seg: 73.9568, loss: 0.3113 +2022-02-28 02:02:24,512 - mmseg - INFO - Iter [66650/160000] lr: 1.167e-05, eta: 6:28:56, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2066, decode.acc_seg: 73.2923, aux.loss_ce: 0.0916, aux.acc_seg: 72.6512, loss: 0.2982 +2022-02-28 02:02:36,803 - mmseg - INFO - Iter [66700/160000] lr: 1.166e-05, eta: 6:28:44, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2113, decode.acc_seg: 73.7869, aux.loss_ce: 0.0916, aux.acc_seg: 73.2211, loss: 0.3029 +2022-02-28 02:02:49,175 - mmseg - INFO - Iter [66750/160000] lr: 1.166e-05, eta: 6:28:31, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2077, decode.acc_seg: 74.2860, aux.loss_ce: 0.0906, aux.acc_seg: 73.7834, loss: 0.2982 +2022-02-28 02:03:01,352 - mmseg - INFO - Iter [66800/160000] lr: 1.165e-05, eta: 6:28:18, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2023, decode.acc_seg: 73.5773, aux.loss_ce: 0.0896, aux.acc_seg: 73.0336, loss: 0.2920 +2022-02-28 02:03:13,712 - mmseg - INFO - Iter [66850/160000] lr: 1.164e-05, eta: 6:28:05, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2253, decode.acc_seg: 73.1313, aux.loss_ce: 0.0978, aux.acc_seg: 72.5895, loss: 0.3231 +2022-02-28 02:03:26,080 - mmseg - INFO - Iter [66900/160000] lr: 1.164e-05, eta: 6:27:53, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2198, decode.acc_seg: 74.0321, aux.loss_ce: 0.0965, aux.acc_seg: 73.5712, loss: 0.3162 +2022-02-28 02:03:40,775 - mmseg - INFO - Iter [66950/160000] lr: 1.163e-05, eta: 6:27:43, time: 0.294, data_time: 0.052, memory: 56778, decode.loss_ce: 0.2127, decode.acc_seg: 73.6158, aux.loss_ce: 0.0944, aux.acc_seg: 73.0134, loss: 0.3070 +2022-02-28 02:03:53,045 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 02:03:53,045 - mmseg - INFO - Iter [67000/160000] lr: 1.163e-05, eta: 6:27:30, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2134, decode.acc_seg: 73.8501, aux.loss_ce: 0.0954, aux.acc_seg: 73.1794, loss: 0.3088 +2022-02-28 02:04:05,502 - mmseg - INFO - Iter [67050/160000] lr: 1.162e-05, eta: 6:27:18, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1963, decode.acc_seg: 73.1577, aux.loss_ce: 0.0862, aux.acc_seg: 72.6606, loss: 0.2825 +2022-02-28 02:04:17,875 - mmseg - INFO - Iter [67100/160000] lr: 1.161e-05, eta: 6:27:05, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2041, decode.acc_seg: 72.1265, aux.loss_ce: 0.0900, aux.acc_seg: 71.5993, loss: 0.2941 +2022-02-28 02:04:30,124 - mmseg - INFO - Iter [67150/160000] lr: 1.161e-05, eta: 6:26:52, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2216, decode.acc_seg: 73.8097, aux.loss_ce: 0.0963, aux.acc_seg: 73.2710, loss: 0.3179 +2022-02-28 02:04:42,328 - mmseg - INFO - Iter [67200/160000] lr: 1.160e-05, eta: 6:26:39, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2201, decode.acc_seg: 74.2645, aux.loss_ce: 0.0970, aux.acc_seg: 73.7349, loss: 0.3171 +2022-02-28 02:04:54,459 - mmseg - INFO - Iter [67250/160000] lr: 1.159e-05, eta: 6:26:26, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2203, decode.acc_seg: 72.9283, aux.loss_ce: 0.0955, aux.acc_seg: 72.3040, loss: 0.3157 +2022-02-28 02:05:06,786 - mmseg - INFO - Iter [67300/160000] lr: 1.159e-05, eta: 6:26:14, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2072, decode.acc_seg: 73.6018, aux.loss_ce: 0.0919, aux.acc_seg: 73.0231, loss: 0.2990 +2022-02-28 02:05:18,999 - mmseg - INFO - Iter [67350/160000] lr: 1.158e-05, eta: 6:26:01, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2139, decode.acc_seg: 74.0216, aux.loss_ce: 0.0934, aux.acc_seg: 73.5063, loss: 0.3073 +2022-02-28 02:05:31,219 - mmseg - INFO - Iter [67400/160000] lr: 1.158e-05, eta: 6:25:48, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1976, decode.acc_seg: 73.7121, aux.loss_ce: 0.0880, aux.acc_seg: 73.0843, loss: 0.2856 +2022-02-28 02:05:43,468 - mmseg - INFO - Iter [67450/160000] lr: 1.157e-05, eta: 6:25:35, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2165, decode.acc_seg: 73.8284, aux.loss_ce: 0.0944, aux.acc_seg: 73.2704, loss: 0.3109 +2022-02-28 02:05:55,800 - mmseg - INFO - Iter [67500/160000] lr: 1.156e-05, eta: 6:25:22, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2086, decode.acc_seg: 74.6401, aux.loss_ce: 0.0924, aux.acc_seg: 74.0142, loss: 0.3010 +2022-02-28 02:06:08,045 - mmseg - INFO - Iter [67550/160000] lr: 1.156e-05, eta: 6:25:09, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2147, decode.acc_seg: 74.6053, aux.loss_ce: 0.0935, aux.acc_seg: 74.0055, loss: 0.3082 +2022-02-28 02:06:20,463 - mmseg - INFO - Iter [67600/160000] lr: 1.155e-05, eta: 6:24:57, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2060, decode.acc_seg: 74.4909, aux.loss_ce: 0.0902, aux.acc_seg: 73.8643, loss: 0.2962 +2022-02-28 02:06:32,663 - mmseg - INFO - Iter [67650/160000] lr: 1.154e-05, eta: 6:24:44, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2048, decode.acc_seg: 73.2730, aux.loss_ce: 0.0901, aux.acc_seg: 72.7641, loss: 0.2950 +2022-02-28 02:06:44,934 - mmseg - INFO - Iter [67700/160000] lr: 1.154e-05, eta: 6:24:31, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2294, decode.acc_seg: 72.5536, aux.loss_ce: 0.0995, aux.acc_seg: 72.1096, loss: 0.3288 +2022-02-28 02:06:57,313 - mmseg - INFO - Iter [67750/160000] lr: 1.153e-05, eta: 6:24:18, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2190, decode.acc_seg: 73.8678, aux.loss_ce: 0.0950, aux.acc_seg: 73.4113, loss: 0.3141 +2022-02-28 02:07:09,542 - mmseg - INFO - Iter [67800/160000] lr: 1.153e-05, eta: 6:24:06, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2056, decode.acc_seg: 73.2595, aux.loss_ce: 0.0897, aux.acc_seg: 72.7908, loss: 0.2953 +2022-02-28 02:07:21,970 - mmseg - INFO - Iter [67850/160000] lr: 1.152e-05, eta: 6:23:53, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2110, decode.acc_seg: 74.1085, aux.loss_ce: 0.0923, aux.acc_seg: 73.5540, loss: 0.3033 +2022-02-28 02:07:34,305 - mmseg - INFO - Iter [67900/160000] lr: 1.151e-05, eta: 6:23:40, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2119, decode.acc_seg: 74.1014, aux.loss_ce: 0.0936, aux.acc_seg: 73.4379, loss: 0.3055 +2022-02-28 02:07:46,589 - mmseg - INFO - Iter [67950/160000] lr: 1.151e-05, eta: 6:23:28, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2048, decode.acc_seg: 72.6256, aux.loss_ce: 0.0896, aux.acc_seg: 72.1711, loss: 0.2944 +2022-02-28 02:07:58,859 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 02:07:58,859 - mmseg - INFO - Iter [68000/160000] lr: 1.150e-05, eta: 6:23:15, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2052, decode.acc_seg: 74.8784, aux.loss_ce: 0.0909, aux.acc_seg: 74.3238, loss: 0.2962 +2022-02-28 02:08:11,349 - mmseg - INFO - Iter [68050/160000] lr: 1.149e-05, eta: 6:23:02, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2195, decode.acc_seg: 72.9694, aux.loss_ce: 0.0961, aux.acc_seg: 72.5058, loss: 0.3155 +2022-02-28 02:08:23,623 - mmseg - INFO - Iter [68100/160000] lr: 1.149e-05, eta: 6:22:49, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2155, decode.acc_seg: 74.9149, aux.loss_ce: 0.0947, aux.acc_seg: 74.3006, loss: 0.3102 +2022-02-28 02:08:36,098 - mmseg - INFO - Iter [68150/160000] lr: 1.148e-05, eta: 6:22:37, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2104, decode.acc_seg: 74.4438, aux.loss_ce: 0.0929, aux.acc_seg: 73.7819, loss: 0.3033 +2022-02-28 02:08:48,422 - mmseg - INFO - Iter [68200/160000] lr: 1.148e-05, eta: 6:22:24, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2193, decode.acc_seg: 73.3761, aux.loss_ce: 0.0979, aux.acc_seg: 72.5927, loss: 0.3172 +2022-02-28 02:09:03,078 - mmseg - INFO - Iter [68250/160000] lr: 1.147e-05, eta: 6:22:15, time: 0.293, data_time: 0.051, memory: 56778, decode.loss_ce: 0.2133, decode.acc_seg: 75.0302, aux.loss_ce: 0.0932, aux.acc_seg: 74.5406, loss: 0.3065 +2022-02-28 02:09:15,382 - mmseg - INFO - Iter [68300/160000] lr: 1.146e-05, eta: 6:22:02, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2038, decode.acc_seg: 73.8182, aux.loss_ce: 0.0913, aux.acc_seg: 73.1893, loss: 0.2951 +2022-02-28 02:09:27,659 - mmseg - INFO - Iter [68350/160000] lr: 1.146e-05, eta: 6:21:49, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2000, decode.acc_seg: 73.5044, aux.loss_ce: 0.0898, aux.acc_seg: 72.8828, loss: 0.2898 +2022-02-28 02:09:40,120 - mmseg - INFO - Iter [68400/160000] lr: 1.145e-05, eta: 6:21:36, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2112, decode.acc_seg: 73.9707, aux.loss_ce: 0.0924, aux.acc_seg: 73.3785, loss: 0.3036 +2022-02-28 02:09:52,893 - mmseg - INFO - Iter [68450/160000] lr: 1.144e-05, eta: 6:21:24, time: 0.256, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2146, decode.acc_seg: 73.8334, aux.loss_ce: 0.0940, aux.acc_seg: 73.2494, loss: 0.3086 +2022-02-28 02:10:05,148 - mmseg - INFO - Iter [68500/160000] lr: 1.144e-05, eta: 6:21:11, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2060, decode.acc_seg: 75.1798, aux.loss_ce: 0.0906, aux.acc_seg: 74.6441, loss: 0.2966 +2022-02-28 02:10:17,351 - mmseg - INFO - Iter [68550/160000] lr: 1.143e-05, eta: 6:20:59, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1963, decode.acc_seg: 73.1853, aux.loss_ce: 0.0871, aux.acc_seg: 72.5951, loss: 0.2834 +2022-02-28 02:10:29,585 - mmseg - INFO - Iter [68600/160000] lr: 1.143e-05, eta: 6:20:46, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2025, decode.acc_seg: 72.9861, aux.loss_ce: 0.0889, aux.acc_seg: 72.4993, loss: 0.2914 +2022-02-28 02:10:41,843 - mmseg - INFO - Iter [68650/160000] lr: 1.142e-05, eta: 6:20:33, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1934, decode.acc_seg: 73.4037, aux.loss_ce: 0.0856, aux.acc_seg: 72.9187, loss: 0.2790 +2022-02-28 02:10:54,147 - mmseg - INFO - Iter [68700/160000] lr: 1.141e-05, eta: 6:20:20, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2215, decode.acc_seg: 73.6736, aux.loss_ce: 0.0961, aux.acc_seg: 73.1822, loss: 0.3177 +2022-02-28 02:11:06,477 - mmseg - INFO - Iter [68750/160000] lr: 1.141e-05, eta: 6:20:07, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1932, decode.acc_seg: 74.0357, aux.loss_ce: 0.0855, aux.acc_seg: 73.5152, loss: 0.2787 +2022-02-28 02:11:18,737 - mmseg - INFO - Iter [68800/160000] lr: 1.140e-05, eta: 6:19:55, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2070, decode.acc_seg: 73.7983, aux.loss_ce: 0.0916, aux.acc_seg: 73.2571, loss: 0.2986 +2022-02-28 02:11:30,906 - mmseg - INFO - Iter [68850/160000] lr: 1.139e-05, eta: 6:19:42, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1964, decode.acc_seg: 72.9140, aux.loss_ce: 0.0873, aux.acc_seg: 72.3821, loss: 0.2837 +2022-02-28 02:11:43,175 - mmseg - INFO - Iter [68900/160000] lr: 1.139e-05, eta: 6:19:29, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2159, decode.acc_seg: 73.8627, aux.loss_ce: 0.0943, aux.acc_seg: 73.3424, loss: 0.3102 +2022-02-28 02:11:55,491 - mmseg - INFO - Iter [68950/160000] lr: 1.138e-05, eta: 6:19:16, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2403, decode.acc_seg: 74.8502, aux.loss_ce: 0.1058, aux.acc_seg: 74.1646, loss: 0.3461 +2022-02-28 02:12:07,641 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 02:12:07,641 - mmseg - INFO - Iter [69000/160000] lr: 1.138e-05, eta: 6:19:03, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2271, decode.acc_seg: 74.8239, aux.loss_ce: 0.0969, aux.acc_seg: 74.4955, loss: 0.3240 +2022-02-28 02:12:20,063 - mmseg - INFO - Iter [69050/160000] lr: 1.137e-05, eta: 6:18:51, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2279, decode.acc_seg: 72.5766, aux.loss_ce: 0.0999, aux.acc_seg: 72.0506, loss: 0.3278 +2022-02-28 02:12:32,391 - mmseg - INFO - Iter [69100/160000] lr: 1.136e-05, eta: 6:18:38, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1954, decode.acc_seg: 74.9433, aux.loss_ce: 0.0882, aux.acc_seg: 74.2543, loss: 0.2836 +2022-02-28 02:12:44,670 - mmseg - INFO - Iter [69150/160000] lr: 1.136e-05, eta: 6:18:25, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2121, decode.acc_seg: 72.6993, aux.loss_ce: 0.0940, aux.acc_seg: 72.0540, loss: 0.3061 +2022-02-28 02:12:56,991 - mmseg - INFO - Iter [69200/160000] lr: 1.135e-05, eta: 6:18:12, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2101, decode.acc_seg: 74.4250, aux.loss_ce: 0.0932, aux.acc_seg: 73.7836, loss: 0.3032 +2022-02-28 02:13:09,231 - mmseg - INFO - Iter [69250/160000] lr: 1.134e-05, eta: 6:18:00, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2137, decode.acc_seg: 74.6208, aux.loss_ce: 0.0924, aux.acc_seg: 74.0894, loss: 0.3061 +2022-02-28 02:13:21,409 - mmseg - INFO - Iter [69300/160000] lr: 1.134e-05, eta: 6:17:47, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2059, decode.acc_seg: 74.7511, aux.loss_ce: 0.0897, aux.acc_seg: 74.2948, loss: 0.2956 +2022-02-28 02:13:33,627 - mmseg - INFO - Iter [69350/160000] lr: 1.133e-05, eta: 6:17:34, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2021, decode.acc_seg: 74.0954, aux.loss_ce: 0.0898, aux.acc_seg: 73.4576, loss: 0.2919 +2022-02-28 02:13:45,934 - mmseg - INFO - Iter [69400/160000] lr: 1.133e-05, eta: 6:17:21, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2178, decode.acc_seg: 74.0429, aux.loss_ce: 0.0956, aux.acc_seg: 73.5032, loss: 0.3134 +2022-02-28 02:13:58,170 - mmseg - INFO - Iter [69450/160000] lr: 1.132e-05, eta: 6:17:08, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1919, decode.acc_seg: 73.3178, aux.loss_ce: 0.0854, aux.acc_seg: 72.7781, loss: 0.2773 +2022-02-28 02:14:12,793 - mmseg - INFO - Iter [69500/160000] lr: 1.131e-05, eta: 6:16:58, time: 0.292, data_time: 0.050, memory: 56778, decode.loss_ce: 0.2081, decode.acc_seg: 73.2798, aux.loss_ce: 0.0911, aux.acc_seg: 72.7960, loss: 0.2993 +2022-02-28 02:14:24,991 - mmseg - INFO - Iter [69550/160000] lr: 1.131e-05, eta: 6:16:46, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2102, decode.acc_seg: 71.9107, aux.loss_ce: 0.0911, aux.acc_seg: 71.4195, loss: 0.3013 +2022-02-28 02:14:37,221 - mmseg - INFO - Iter [69600/160000] lr: 1.130e-05, eta: 6:16:33, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1964, decode.acc_seg: 73.8992, aux.loss_ce: 0.0862, aux.acc_seg: 73.3130, loss: 0.2826 +2022-02-28 02:14:49,552 - mmseg - INFO - Iter [69650/160000] lr: 1.129e-05, eta: 6:16:20, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1961, decode.acc_seg: 73.7167, aux.loss_ce: 0.0878, aux.acc_seg: 73.0180, loss: 0.2839 +2022-02-28 02:15:01,935 - mmseg - INFO - Iter [69700/160000] lr: 1.129e-05, eta: 6:16:07, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2126, decode.acc_seg: 73.9942, aux.loss_ce: 0.0935, aux.acc_seg: 73.4242, loss: 0.3061 +2022-02-28 02:15:14,113 - mmseg - INFO - Iter [69750/160000] lr: 1.128e-05, eta: 6:15:55, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2216, decode.acc_seg: 73.2920, aux.loss_ce: 0.0982, aux.acc_seg: 72.7312, loss: 0.3198 +2022-02-28 02:15:26,517 - mmseg - INFO - Iter [69800/160000] lr: 1.128e-05, eta: 6:15:42, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2179, decode.acc_seg: 73.3952, aux.loss_ce: 0.0956, aux.acc_seg: 72.8280, loss: 0.3135 +2022-02-28 02:15:38,798 - mmseg - INFO - Iter [69850/160000] lr: 1.127e-05, eta: 6:15:29, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2056, decode.acc_seg: 73.2208, aux.loss_ce: 0.0904, aux.acc_seg: 72.7161, loss: 0.2960 +2022-02-28 02:15:51,301 - mmseg - INFO - Iter [69900/160000] lr: 1.126e-05, eta: 6:15:17, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2241, decode.acc_seg: 72.4733, aux.loss_ce: 0.0984, aux.acc_seg: 71.9895, loss: 0.3224 +2022-02-28 02:16:03,502 - mmseg - INFO - Iter [69950/160000] lr: 1.126e-05, eta: 6:15:04, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2095, decode.acc_seg: 73.0071, aux.loss_ce: 0.0926, aux.acc_seg: 72.5201, loss: 0.3021 +2022-02-28 02:16:15,703 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 02:16:15,704 - mmseg - INFO - Iter [70000/160000] lr: 1.125e-05, eta: 6:14:51, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2020, decode.acc_seg: 74.9050, aux.loss_ce: 0.0886, aux.acc_seg: 74.3253, loss: 0.2906 +2022-02-28 02:16:28,016 - mmseg - INFO - Iter [70050/160000] lr: 1.124e-05, eta: 6:14:38, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2037, decode.acc_seg: 73.9353, aux.loss_ce: 0.0907, aux.acc_seg: 73.3573, loss: 0.2944 +2022-02-28 02:16:40,614 - mmseg - INFO - Iter [70100/160000] lr: 1.124e-05, eta: 6:14:26, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1957, decode.acc_seg: 73.7784, aux.loss_ce: 0.0877, aux.acc_seg: 73.1860, loss: 0.2835 +2022-02-28 02:16:52,842 - mmseg - INFO - Iter [70150/160000] lr: 1.123e-05, eta: 6:14:13, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1920, decode.acc_seg: 74.7871, aux.loss_ce: 0.0863, aux.acc_seg: 74.2031, loss: 0.2783 +2022-02-28 02:17:05,152 - mmseg - INFO - Iter [70200/160000] lr: 1.123e-05, eta: 6:14:00, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1994, decode.acc_seg: 73.2124, aux.loss_ce: 0.0884, aux.acc_seg: 72.6641, loss: 0.2878 +2022-02-28 02:17:17,534 - mmseg - INFO - Iter [70250/160000] lr: 1.122e-05, eta: 6:13:48, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2254, decode.acc_seg: 74.0235, aux.loss_ce: 0.1002, aux.acc_seg: 73.2817, loss: 0.3257 +2022-02-28 02:17:29,732 - mmseg - INFO - Iter [70300/160000] lr: 1.121e-05, eta: 6:13:35, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2055, decode.acc_seg: 73.7070, aux.loss_ce: 0.0913, aux.acc_seg: 73.0781, loss: 0.2968 +2022-02-28 02:17:42,041 - mmseg - INFO - Iter [70350/160000] lr: 1.121e-05, eta: 6:13:22, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2089, decode.acc_seg: 72.9753, aux.loss_ce: 0.0918, aux.acc_seg: 72.3059, loss: 0.3007 +2022-02-28 02:17:54,342 - mmseg - INFO - Iter [70400/160000] lr: 1.120e-05, eta: 6:13:09, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2093, decode.acc_seg: 74.9449, aux.loss_ce: 0.0922, aux.acc_seg: 74.4391, loss: 0.3015 +2022-02-28 02:18:06,826 - mmseg - INFO - Iter [70450/160000] lr: 1.119e-05, eta: 6:12:57, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2039, decode.acc_seg: 74.6942, aux.loss_ce: 0.0896, aux.acc_seg: 74.1606, loss: 0.2935 +2022-02-28 02:18:19,242 - mmseg - INFO - Iter [70500/160000] lr: 1.119e-05, eta: 6:12:44, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2057, decode.acc_seg: 72.3334, aux.loss_ce: 0.0896, aux.acc_seg: 71.8834, loss: 0.2953 +2022-02-28 02:18:31,498 - mmseg - INFO - Iter [70550/160000] lr: 1.118e-05, eta: 6:12:31, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2095, decode.acc_seg: 74.8113, aux.loss_ce: 0.0907, aux.acc_seg: 74.2838, loss: 0.3002 +2022-02-28 02:18:43,868 - mmseg - INFO - Iter [70600/160000] lr: 1.118e-05, eta: 6:12:19, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2018, decode.acc_seg: 74.0420, aux.loss_ce: 0.0885, aux.acc_seg: 73.6497, loss: 0.2903 +2022-02-28 02:18:56,138 - mmseg - INFO - Iter [70650/160000] lr: 1.117e-05, eta: 6:12:06, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2197, decode.acc_seg: 73.7525, aux.loss_ce: 0.0969, aux.acc_seg: 73.1479, loss: 0.3165 +2022-02-28 02:19:08,352 - mmseg - INFO - Iter [70700/160000] lr: 1.116e-05, eta: 6:11:53, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2090, decode.acc_seg: 74.7165, aux.loss_ce: 0.0919, aux.acc_seg: 74.1969, loss: 0.3010 +2022-02-28 02:19:23,085 - mmseg - INFO - Iter [70750/160000] lr: 1.116e-05, eta: 6:11:43, time: 0.295, data_time: 0.052, memory: 56778, decode.loss_ce: 0.2099, decode.acc_seg: 73.5642, aux.loss_ce: 0.0914, aux.acc_seg: 73.0642, loss: 0.3013 +2022-02-28 02:19:35,346 - mmseg - INFO - Iter [70800/160000] lr: 1.115e-05, eta: 6:11:31, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2074, decode.acc_seg: 73.6666, aux.loss_ce: 0.0916, aux.acc_seg: 73.1342, loss: 0.2990 +2022-02-28 02:19:47,687 - mmseg - INFO - Iter [70850/160000] lr: 1.114e-05, eta: 6:11:18, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2002, decode.acc_seg: 73.7090, aux.loss_ce: 0.0885, aux.acc_seg: 73.0917, loss: 0.2887 +2022-02-28 02:20:00,017 - mmseg - INFO - Iter [70900/160000] lr: 1.114e-05, eta: 6:11:05, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1982, decode.acc_seg: 74.4827, aux.loss_ce: 0.0880, aux.acc_seg: 73.9081, loss: 0.2862 +2022-02-28 02:20:12,266 - mmseg - INFO - Iter [70950/160000] lr: 1.113e-05, eta: 6:10:52, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2185, decode.acc_seg: 74.3419, aux.loss_ce: 0.0957, aux.acc_seg: 73.8518, loss: 0.3143 +2022-02-28 02:20:24,452 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 02:20:24,452 - mmseg - INFO - Iter [71000/160000] lr: 1.113e-05, eta: 6:10:40, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1960, decode.acc_seg: 73.8418, aux.loss_ce: 0.0868, aux.acc_seg: 73.3704, loss: 0.2829 +2022-02-28 02:20:36,693 - mmseg - INFO - Iter [71050/160000] lr: 1.112e-05, eta: 6:10:27, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1871, decode.acc_seg: 73.9169, aux.loss_ce: 0.0827, aux.acc_seg: 73.3920, loss: 0.2698 +2022-02-28 02:20:49,212 - mmseg - INFO - Iter [71100/160000] lr: 1.111e-05, eta: 6:10:14, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1906, decode.acc_seg: 75.2783, aux.loss_ce: 0.0845, aux.acc_seg: 74.8045, loss: 0.2751 +2022-02-28 02:21:01,443 - mmseg - INFO - Iter [71150/160000] lr: 1.111e-05, eta: 6:10:01, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2033, decode.acc_seg: 72.4421, aux.loss_ce: 0.0889, aux.acc_seg: 71.9952, loss: 0.2923 +2022-02-28 02:21:13,655 - mmseg - INFO - Iter [71200/160000] lr: 1.110e-05, eta: 6:09:49, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2036, decode.acc_seg: 73.7176, aux.loss_ce: 0.0896, aux.acc_seg: 73.2755, loss: 0.2932 +2022-02-28 02:21:26,036 - mmseg - INFO - Iter [71250/160000] lr: 1.109e-05, eta: 6:09:36, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2062, decode.acc_seg: 75.0283, aux.loss_ce: 0.0926, aux.acc_seg: 74.3525, loss: 0.2988 +2022-02-28 02:21:38,380 - mmseg - INFO - Iter [71300/160000] lr: 1.109e-05, eta: 6:09:23, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2013, decode.acc_seg: 73.9383, aux.loss_ce: 0.0874, aux.acc_seg: 73.4640, loss: 0.2887 +2022-02-28 02:21:50,717 - mmseg - INFO - Iter [71350/160000] lr: 1.108e-05, eta: 6:09:11, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1981, decode.acc_seg: 75.1078, aux.loss_ce: 0.0874, aux.acc_seg: 74.5956, loss: 0.2855 +2022-02-28 02:22:03,186 - mmseg - INFO - Iter [71400/160000] lr: 1.108e-05, eta: 6:08:58, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1975, decode.acc_seg: 74.0743, aux.loss_ce: 0.0883, aux.acc_seg: 73.4466, loss: 0.2858 +2022-02-28 02:22:15,540 - mmseg - INFO - Iter [71450/160000] lr: 1.107e-05, eta: 6:08:45, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1990, decode.acc_seg: 73.8655, aux.loss_ce: 0.0875, aux.acc_seg: 73.3131, loss: 0.2866 +2022-02-28 02:22:27,801 - mmseg - INFO - Iter [71500/160000] lr: 1.106e-05, eta: 6:08:33, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2090, decode.acc_seg: 74.8180, aux.loss_ce: 0.0919, aux.acc_seg: 74.2807, loss: 0.3009 +2022-02-28 02:22:40,141 - mmseg - INFO - Iter [71550/160000] lr: 1.106e-05, eta: 6:08:20, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2174, decode.acc_seg: 75.2848, aux.loss_ce: 0.0954, aux.acc_seg: 74.7160, loss: 0.3129 +2022-02-28 02:22:52,328 - mmseg - INFO - Iter [71600/160000] lr: 1.105e-05, eta: 6:08:07, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2022, decode.acc_seg: 73.3629, aux.loss_ce: 0.0893, aux.acc_seg: 72.8634, loss: 0.2915 +2022-02-28 02:23:04,649 - mmseg - INFO - Iter [71650/160000] lr: 1.104e-05, eta: 6:07:54, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1975, decode.acc_seg: 74.5800, aux.loss_ce: 0.0871, aux.acc_seg: 74.0907, loss: 0.2847 +2022-02-28 02:23:17,094 - mmseg - INFO - Iter [71700/160000] lr: 1.104e-05, eta: 6:07:42, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2063, decode.acc_seg: 73.9122, aux.loss_ce: 0.0910, aux.acc_seg: 73.3907, loss: 0.2973 +2022-02-28 02:23:29,455 - mmseg - INFO - Iter [71750/160000] lr: 1.103e-05, eta: 6:07:29, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1963, decode.acc_seg: 75.2305, aux.loss_ce: 0.0867, aux.acc_seg: 74.7716, loss: 0.2830 +2022-02-28 02:23:41,670 - mmseg - INFO - Iter [71800/160000] lr: 1.103e-05, eta: 6:07:16, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2011, decode.acc_seg: 73.1581, aux.loss_ce: 0.0893, aux.acc_seg: 72.5494, loss: 0.2903 +2022-02-28 02:23:53,949 - mmseg - INFO - Iter [71850/160000] lr: 1.102e-05, eta: 6:07:04, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2122, decode.acc_seg: 73.3195, aux.loss_ce: 0.0923, aux.acc_seg: 72.8730, loss: 0.3045 +2022-02-28 02:24:06,168 - mmseg - INFO - Iter [71900/160000] lr: 1.101e-05, eta: 6:06:51, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2124, decode.acc_seg: 76.2700, aux.loss_ce: 0.0926, aux.acc_seg: 75.7984, loss: 0.3049 +2022-02-28 02:24:18,513 - mmseg - INFO - Iter [71950/160000] lr: 1.101e-05, eta: 6:06:38, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2146, decode.acc_seg: 72.7062, aux.loss_ce: 0.0944, aux.acc_seg: 72.1801, loss: 0.3089 +2022-02-28 02:24:33,129 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 02:24:33,129 - mmseg - INFO - Iter [72000/160000] lr: 1.100e-05, eta: 6:06:28, time: 0.292, data_time: 0.048, memory: 56778, decode.loss_ce: 0.1979, decode.acc_seg: 74.7898, aux.loss_ce: 0.0887, aux.acc_seg: 74.1344, loss: 0.2866 +2022-02-28 02:24:45,443 - mmseg - INFO - Iter [72050/160000] lr: 1.099e-05, eta: 6:06:15, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1822, decode.acc_seg: 73.8106, aux.loss_ce: 0.0812, aux.acc_seg: 73.2202, loss: 0.2634 +2022-02-28 02:24:57,723 - mmseg - INFO - Iter [72100/160000] lr: 1.099e-05, eta: 6:06:03, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1900, decode.acc_seg: 74.2569, aux.loss_ce: 0.0830, aux.acc_seg: 73.8242, loss: 0.2730 +2022-02-28 02:25:10,264 - mmseg - INFO - Iter [72150/160000] lr: 1.098e-05, eta: 6:05:50, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2110, decode.acc_seg: 73.9558, aux.loss_ce: 0.0937, aux.acc_seg: 73.3450, loss: 0.3047 +2022-02-28 02:25:22,703 - mmseg - INFO - Iter [72200/160000] lr: 1.098e-05, eta: 6:05:38, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2123, decode.acc_seg: 72.8468, aux.loss_ce: 0.0941, aux.acc_seg: 72.4110, loss: 0.3064 +2022-02-28 02:25:35,082 - mmseg - INFO - Iter [72250/160000] lr: 1.097e-05, eta: 6:05:25, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2036, decode.acc_seg: 72.4398, aux.loss_ce: 0.0898, aux.acc_seg: 71.9729, loss: 0.2935 +2022-02-28 02:25:47,254 - mmseg - INFO - Iter [72300/160000] lr: 1.096e-05, eta: 6:05:12, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2015, decode.acc_seg: 75.1751, aux.loss_ce: 0.0893, aux.acc_seg: 74.5676, loss: 0.2908 +2022-02-28 02:25:59,512 - mmseg - INFO - Iter [72350/160000] lr: 1.096e-05, eta: 6:04:59, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2121, decode.acc_seg: 73.8927, aux.loss_ce: 0.0934, aux.acc_seg: 73.1826, loss: 0.3056 +2022-02-28 02:26:11,918 - mmseg - INFO - Iter [72400/160000] lr: 1.095e-05, eta: 6:04:47, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1920, decode.acc_seg: 76.4097, aux.loss_ce: 0.0860, aux.acc_seg: 75.7973, loss: 0.2780 +2022-02-28 02:26:24,247 - mmseg - INFO - Iter [72450/160000] lr: 1.094e-05, eta: 6:04:34, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2150, decode.acc_seg: 72.9689, aux.loss_ce: 0.0969, aux.acc_seg: 72.3395, loss: 0.3119 +2022-02-28 02:26:36,471 - mmseg - INFO - Iter [72500/160000] lr: 1.094e-05, eta: 6:04:21, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2061, decode.acc_seg: 74.6535, aux.loss_ce: 0.0912, aux.acc_seg: 74.1229, loss: 0.2973 +2022-02-28 02:26:48,769 - mmseg - INFO - Iter [72550/160000] lr: 1.093e-05, eta: 6:04:09, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2076, decode.acc_seg: 73.3669, aux.loss_ce: 0.0910, aux.acc_seg: 72.7668, loss: 0.2986 +2022-02-28 02:27:01,180 - mmseg - INFO - Iter [72600/160000] lr: 1.093e-05, eta: 6:03:56, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2177, decode.acc_seg: 74.9882, aux.loss_ce: 0.0968, aux.acc_seg: 74.3157, loss: 0.3145 +2022-02-28 02:27:13,520 - mmseg - INFO - Iter [72650/160000] lr: 1.092e-05, eta: 6:03:43, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1951, decode.acc_seg: 75.6209, aux.loss_ce: 0.0859, aux.acc_seg: 75.0084, loss: 0.2810 +2022-02-28 02:27:25,830 - mmseg - INFO - Iter [72700/160000] lr: 1.091e-05, eta: 6:03:31, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2049, decode.acc_seg: 72.4742, aux.loss_ce: 0.0892, aux.acc_seg: 71.9628, loss: 0.2941 +2022-02-28 02:27:38,155 - mmseg - INFO - Iter [72750/160000] lr: 1.091e-05, eta: 6:03:18, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1875, decode.acc_seg: 75.1476, aux.loss_ce: 0.0835, aux.acc_seg: 74.5387, loss: 0.2710 +2022-02-28 02:27:50,349 - mmseg - INFO - Iter [72800/160000] lr: 1.090e-05, eta: 6:03:05, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1881, decode.acc_seg: 74.3585, aux.loss_ce: 0.0833, aux.acc_seg: 73.8360, loss: 0.2714 +2022-02-28 02:28:02,688 - mmseg - INFO - Iter [72850/160000] lr: 1.089e-05, eta: 6:02:52, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1914, decode.acc_seg: 74.9632, aux.loss_ce: 0.0853, aux.acc_seg: 74.3416, loss: 0.2767 +2022-02-28 02:28:14,988 - mmseg - INFO - Iter [72900/160000] lr: 1.089e-05, eta: 6:02:40, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1859, decode.acc_seg: 74.4279, aux.loss_ce: 0.0833, aux.acc_seg: 73.8189, loss: 0.2692 +2022-02-28 02:28:27,311 - mmseg - INFO - Iter [72950/160000] lr: 1.088e-05, eta: 6:02:27, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1920, decode.acc_seg: 74.5726, aux.loss_ce: 0.0873, aux.acc_seg: 73.9023, loss: 0.2793 +2022-02-28 02:28:39,449 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 02:28:39,449 - mmseg - INFO - Iter [73000/160000] lr: 1.088e-05, eta: 6:02:14, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1954, decode.acc_seg: 74.9504, aux.loss_ce: 0.0868, aux.acc_seg: 74.3341, loss: 0.2822 +2022-02-28 02:28:51,688 - mmseg - INFO - Iter [73050/160000] lr: 1.087e-05, eta: 6:02:01, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1888, decode.acc_seg: 72.7681, aux.loss_ce: 0.0843, aux.acc_seg: 72.1409, loss: 0.2731 +2022-02-28 02:29:04,202 - mmseg - INFO - Iter [73100/160000] lr: 1.086e-05, eta: 6:01:49, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1917, decode.acc_seg: 73.6385, aux.loss_ce: 0.0856, aux.acc_seg: 73.0519, loss: 0.2773 +2022-02-28 02:29:16,453 - mmseg - INFO - Iter [73150/160000] lr: 1.086e-05, eta: 6:01:36, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2075, decode.acc_seg: 74.8183, aux.loss_ce: 0.0918, aux.acc_seg: 74.2312, loss: 0.2993 +2022-02-28 02:29:28,615 - mmseg - INFO - Iter [73200/160000] lr: 1.085e-05, eta: 6:01:23, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2005, decode.acc_seg: 74.2207, aux.loss_ce: 0.0889, aux.acc_seg: 73.6750, loss: 0.2894 +2022-02-28 02:29:40,841 - mmseg - INFO - Iter [73250/160000] lr: 1.084e-05, eta: 6:01:10, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2056, decode.acc_seg: 73.9945, aux.loss_ce: 0.0915, aux.acc_seg: 73.3689, loss: 0.2971 +2022-02-28 02:29:55,389 - mmseg - INFO - Iter [73300/160000] lr: 1.084e-05, eta: 6:01:00, time: 0.291, data_time: 0.049, memory: 56778, decode.loss_ce: 0.1823, decode.acc_seg: 74.2060, aux.loss_ce: 0.0802, aux.acc_seg: 73.8009, loss: 0.2625 +2022-02-28 02:30:07,634 - mmseg - INFO - Iter [73350/160000] lr: 1.083e-05, eta: 6:00:47, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2066, decode.acc_seg: 75.6165, aux.loss_ce: 0.0918, aux.acc_seg: 75.0459, loss: 0.2983 +2022-02-28 02:30:19,795 - mmseg - INFO - Iter [73400/160000] lr: 1.083e-05, eta: 6:00:35, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1852, decode.acc_seg: 74.8821, aux.loss_ce: 0.0820, aux.acc_seg: 74.3718, loss: 0.2672 +2022-02-28 02:30:31,978 - mmseg - INFO - Iter [73450/160000] lr: 1.082e-05, eta: 6:00:22, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1977, decode.acc_seg: 72.9435, aux.loss_ce: 0.0877, aux.acc_seg: 72.4476, loss: 0.2853 +2022-02-28 02:30:44,215 - mmseg - INFO - Iter [73500/160000] lr: 1.081e-05, eta: 6:00:09, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2039, decode.acc_seg: 72.5100, aux.loss_ce: 0.0895, aux.acc_seg: 71.9299, loss: 0.2933 +2022-02-28 02:30:56,621 - mmseg - INFO - Iter [73550/160000] lr: 1.081e-05, eta: 5:59:56, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2110, decode.acc_seg: 73.6502, aux.loss_ce: 0.0929, aux.acc_seg: 73.0866, loss: 0.3039 +2022-02-28 02:31:08,978 - mmseg - INFO - Iter [73600/160000] lr: 1.080e-05, eta: 5:59:44, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1923, decode.acc_seg: 75.1568, aux.loss_ce: 0.0846, aux.acc_seg: 74.6398, loss: 0.2769 +2022-02-28 02:31:21,378 - mmseg - INFO - Iter [73650/160000] lr: 1.079e-05, eta: 5:59:31, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2104, decode.acc_seg: 73.9931, aux.loss_ce: 0.0938, aux.acc_seg: 73.4164, loss: 0.3042 +2022-02-28 02:31:33,598 - mmseg - INFO - Iter [73700/160000] lr: 1.079e-05, eta: 5:59:18, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1966, decode.acc_seg: 74.9414, aux.loss_ce: 0.0881, aux.acc_seg: 74.2750, loss: 0.2847 +2022-02-28 02:31:45,905 - mmseg - INFO - Iter [73750/160000] lr: 1.078e-05, eta: 5:59:06, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1950, decode.acc_seg: 74.0537, aux.loss_ce: 0.0864, aux.acc_seg: 73.5230, loss: 0.2814 +2022-02-28 02:31:58,110 - mmseg - INFO - Iter [73800/160000] lr: 1.078e-05, eta: 5:58:53, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1992, decode.acc_seg: 74.5505, aux.loss_ce: 0.0886, aux.acc_seg: 73.9807, loss: 0.2879 +2022-02-28 02:32:10,226 - mmseg - INFO - Iter [73850/160000] lr: 1.077e-05, eta: 5:58:40, time: 0.242, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1910, decode.acc_seg: 74.4615, aux.loss_ce: 0.0838, aux.acc_seg: 73.9996, loss: 0.2748 +2022-02-28 02:32:22,697 - mmseg - INFO - Iter [73900/160000] lr: 1.076e-05, eta: 5:58:27, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1992, decode.acc_seg: 74.9091, aux.loss_ce: 0.0878, aux.acc_seg: 74.3443, loss: 0.2869 +2022-02-28 02:32:35,018 - mmseg - INFO - Iter [73950/160000] lr: 1.076e-05, eta: 5:58:15, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2050, decode.acc_seg: 74.5381, aux.loss_ce: 0.0915, aux.acc_seg: 73.9057, loss: 0.2966 +2022-02-28 02:32:47,160 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 02:32:47,161 - mmseg - INFO - Iter [74000/160000] lr: 1.075e-05, eta: 5:58:02, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1986, decode.acc_seg: 74.0913, aux.loss_ce: 0.0874, aux.acc_seg: 73.6189, loss: 0.2860 +2022-02-28 02:32:59,349 - mmseg - INFO - Iter [74050/160000] lr: 1.074e-05, eta: 5:57:49, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1961, decode.acc_seg: 75.0733, aux.loss_ce: 0.0870, aux.acc_seg: 74.4835, loss: 0.2831 +2022-02-28 02:33:11,613 - mmseg - INFO - Iter [74100/160000] lr: 1.074e-05, eta: 5:57:36, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2142, decode.acc_seg: 74.0578, aux.loss_ce: 0.0958, aux.acc_seg: 73.3940, loss: 0.3100 +2022-02-28 02:33:23,784 - mmseg - INFO - Iter [74150/160000] lr: 1.073e-05, eta: 5:57:23, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2007, decode.acc_seg: 73.2753, aux.loss_ce: 0.0902, aux.acc_seg: 72.5731, loss: 0.2909 +2022-02-28 02:33:36,309 - mmseg - INFO - Iter [74200/160000] lr: 1.073e-05, eta: 5:57:11, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2034, decode.acc_seg: 75.3420, aux.loss_ce: 0.0906, aux.acc_seg: 74.7868, loss: 0.2940 +2022-02-28 02:33:48,754 - mmseg - INFO - Iter [74250/160000] lr: 1.072e-05, eta: 5:56:58, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1910, decode.acc_seg: 74.3346, aux.loss_ce: 0.0841, aux.acc_seg: 73.8737, loss: 0.2751 +2022-02-28 02:34:01,023 - mmseg - INFO - Iter [74300/160000] lr: 1.071e-05, eta: 5:56:46, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2082, decode.acc_seg: 74.2323, aux.loss_ce: 0.0928, aux.acc_seg: 73.7073, loss: 0.3011 +2022-02-28 02:34:13,620 - mmseg - INFO - Iter [74350/160000] lr: 1.071e-05, eta: 5:56:33, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1975, decode.acc_seg: 75.8867, aux.loss_ce: 0.0874, aux.acc_seg: 75.4398, loss: 0.2849 +2022-02-28 02:34:25,996 - mmseg - INFO - Iter [74400/160000] lr: 1.070e-05, eta: 5:56:21, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1924, decode.acc_seg: 73.8642, aux.loss_ce: 0.0847, aux.acc_seg: 73.3851, loss: 0.2771 +2022-02-28 02:34:38,305 - mmseg - INFO - Iter [74450/160000] lr: 1.069e-05, eta: 5:56:08, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1959, decode.acc_seg: 75.0246, aux.loss_ce: 0.0875, aux.acc_seg: 74.4597, loss: 0.2834 +2022-02-28 02:34:50,665 - mmseg - INFO - Iter [74500/160000] lr: 1.069e-05, eta: 5:55:55, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1980, decode.acc_seg: 74.6452, aux.loss_ce: 0.0875, aux.acc_seg: 74.0931, loss: 0.2855 +2022-02-28 02:35:05,385 - mmseg - INFO - Iter [74550/160000] lr: 1.068e-05, eta: 5:55:45, time: 0.294, data_time: 0.048, memory: 56778, decode.loss_ce: 0.2067, decode.acc_seg: 73.7464, aux.loss_ce: 0.0912, aux.acc_seg: 73.2017, loss: 0.2979 +2022-02-28 02:35:17,711 - mmseg - INFO - Iter [74600/160000] lr: 1.068e-05, eta: 5:55:33, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1880, decode.acc_seg: 74.3683, aux.loss_ce: 0.0834, aux.acc_seg: 73.8969, loss: 0.2714 +2022-02-28 02:35:30,183 - mmseg - INFO - Iter [74650/160000] lr: 1.067e-05, eta: 5:55:20, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1924, decode.acc_seg: 73.8321, aux.loss_ce: 0.0856, aux.acc_seg: 73.3198, loss: 0.2780 +2022-02-28 02:35:42,359 - mmseg - INFO - Iter [74700/160000] lr: 1.066e-05, eta: 5:55:07, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1923, decode.acc_seg: 73.6411, aux.loss_ce: 0.0854, aux.acc_seg: 73.1325, loss: 0.2777 +2022-02-28 02:35:54,614 - mmseg - INFO - Iter [74750/160000] lr: 1.066e-05, eta: 5:54:55, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1953, decode.acc_seg: 72.8492, aux.loss_ce: 0.0857, aux.acc_seg: 72.4108, loss: 0.2810 +2022-02-28 02:36:07,043 - mmseg - INFO - Iter [74800/160000] lr: 1.065e-05, eta: 5:54:42, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2018, decode.acc_seg: 74.5808, aux.loss_ce: 0.0886, aux.acc_seg: 74.1125, loss: 0.2904 +2022-02-28 02:36:19,396 - mmseg - INFO - Iter [74850/160000] lr: 1.064e-05, eta: 5:54:29, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1904, decode.acc_seg: 72.1390, aux.loss_ce: 0.0854, aux.acc_seg: 71.4640, loss: 0.2757 +2022-02-28 02:36:31,658 - mmseg - INFO - Iter [74900/160000] lr: 1.064e-05, eta: 5:54:17, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2015, decode.acc_seg: 74.6306, aux.loss_ce: 0.0878, aux.acc_seg: 74.1408, loss: 0.2893 +2022-02-28 02:36:43,975 - mmseg - INFO - Iter [74950/160000] lr: 1.063e-05, eta: 5:54:04, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2002, decode.acc_seg: 72.6042, aux.loss_ce: 0.0865, aux.acc_seg: 72.2017, loss: 0.2867 +2022-02-28 02:36:56,330 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 02:36:56,330 - mmseg - INFO - Iter [75000/160000] lr: 1.063e-05, eta: 5:53:51, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2007, decode.acc_seg: 72.4387, aux.loss_ce: 0.0894, aux.acc_seg: 71.7871, loss: 0.2901 +2022-02-28 02:37:08,537 - mmseg - INFO - Iter [75050/160000] lr: 1.062e-05, eta: 5:53:38, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1980, decode.acc_seg: 75.2139, aux.loss_ce: 0.0885, aux.acc_seg: 74.5645, loss: 0.2865 +2022-02-28 02:37:20,804 - mmseg - INFO - Iter [75100/160000] lr: 1.061e-05, eta: 5:53:26, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1981, decode.acc_seg: 75.5221, aux.loss_ce: 0.0888, aux.acc_seg: 74.7853, loss: 0.2869 +2022-02-28 02:37:33,108 - mmseg - INFO - Iter [75150/160000] lr: 1.061e-05, eta: 5:53:13, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2057, decode.acc_seg: 73.3798, aux.loss_ce: 0.0913, aux.acc_seg: 72.8581, loss: 0.2970 +2022-02-28 02:37:45,493 - mmseg - INFO - Iter [75200/160000] lr: 1.060e-05, eta: 5:53:00, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1965, decode.acc_seg: 74.7531, aux.loss_ce: 0.0871, aux.acc_seg: 74.2065, loss: 0.2835 +2022-02-28 02:37:58,090 - mmseg - INFO - Iter [75250/160000] lr: 1.059e-05, eta: 5:52:48, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2023, decode.acc_seg: 73.8114, aux.loss_ce: 0.0897, aux.acc_seg: 73.2256, loss: 0.2920 +2022-02-28 02:38:10,378 - mmseg - INFO - Iter [75300/160000] lr: 1.059e-05, eta: 5:52:35, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2015, decode.acc_seg: 74.7836, aux.loss_ce: 0.0887, aux.acc_seg: 74.2135, loss: 0.2902 +2022-02-28 02:38:22,662 - mmseg - INFO - Iter [75350/160000] lr: 1.058e-05, eta: 5:52:23, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2065, decode.acc_seg: 74.0363, aux.loss_ce: 0.0912, aux.acc_seg: 73.5108, loss: 0.2977 +2022-02-28 02:38:34,892 - mmseg - INFO - Iter [75400/160000] lr: 1.058e-05, eta: 5:52:10, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1982, decode.acc_seg: 74.5387, aux.loss_ce: 0.0896, aux.acc_seg: 73.7661, loss: 0.2878 +2022-02-28 02:38:47,121 - mmseg - INFO - Iter [75450/160000] lr: 1.057e-05, eta: 5:51:57, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1925, decode.acc_seg: 75.3272, aux.loss_ce: 0.0855, aux.acc_seg: 74.7787, loss: 0.2780 +2022-02-28 02:38:59,323 - mmseg - INFO - Iter [75500/160000] lr: 1.056e-05, eta: 5:51:44, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2023, decode.acc_seg: 74.7931, aux.loss_ce: 0.0897, aux.acc_seg: 74.1889, loss: 0.2920 +2022-02-28 02:39:11,629 - mmseg - INFO - Iter [75550/160000] lr: 1.056e-05, eta: 5:51:32, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2095, decode.acc_seg: 73.1773, aux.loss_ce: 0.0925, aux.acc_seg: 72.4903, loss: 0.3020 +2022-02-28 02:39:23,932 - mmseg - INFO - Iter [75600/160000] lr: 1.055e-05, eta: 5:51:19, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2108, decode.acc_seg: 72.7522, aux.loss_ce: 0.0925, aux.acc_seg: 72.1364, loss: 0.3033 +2022-02-28 02:39:36,330 - mmseg - INFO - Iter [75650/160000] lr: 1.054e-05, eta: 5:51:06, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2143, decode.acc_seg: 74.7588, aux.loss_ce: 0.0947, aux.acc_seg: 74.1631, loss: 0.3090 +2022-02-28 02:39:48,611 - mmseg - INFO - Iter [75700/160000] lr: 1.054e-05, eta: 5:50:54, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1924, decode.acc_seg: 74.1257, aux.loss_ce: 0.0847, aux.acc_seg: 73.6046, loss: 0.2772 +2022-02-28 02:40:00,868 - mmseg - INFO - Iter [75750/160000] lr: 1.053e-05, eta: 5:50:41, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2077, decode.acc_seg: 73.3385, aux.loss_ce: 0.0923, aux.acc_seg: 72.7507, loss: 0.3000 +2022-02-28 02:40:15,486 - mmseg - INFO - Iter [75800/160000] lr: 1.053e-05, eta: 5:50:31, time: 0.292, data_time: 0.049, memory: 56778, decode.loss_ce: 0.1924, decode.acc_seg: 75.7080, aux.loss_ce: 0.0863, aux.acc_seg: 75.0610, loss: 0.2787 +2022-02-28 02:40:27,805 - mmseg - INFO - Iter [75850/160000] lr: 1.052e-05, eta: 5:50:18, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1920, decode.acc_seg: 74.8208, aux.loss_ce: 0.0856, aux.acc_seg: 74.3139, loss: 0.2776 +2022-02-28 02:40:40,153 - mmseg - INFO - Iter [75900/160000] lr: 1.051e-05, eta: 5:50:05, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1895, decode.acc_seg: 75.2961, aux.loss_ce: 0.0848, aux.acc_seg: 74.7146, loss: 0.2743 +2022-02-28 02:40:52,510 - mmseg - INFO - Iter [75950/160000] lr: 1.051e-05, eta: 5:49:53, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1901, decode.acc_seg: 73.3762, aux.loss_ce: 0.0839, aux.acc_seg: 72.9032, loss: 0.2740 +2022-02-28 02:41:04,856 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 02:41:04,856 - mmseg - INFO - Iter [76000/160000] lr: 1.050e-05, eta: 5:49:40, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2064, decode.acc_seg: 72.5563, aux.loss_ce: 0.0910, aux.acc_seg: 71.9734, loss: 0.2974 +2022-02-28 02:41:17,089 - mmseg - INFO - Iter [76050/160000] lr: 1.049e-05, eta: 5:49:27, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2000, decode.acc_seg: 73.5016, aux.loss_ce: 0.0902, aux.acc_seg: 72.8682, loss: 0.2903 +2022-02-28 02:41:29,358 - mmseg - INFO - Iter [76100/160000] lr: 1.049e-05, eta: 5:49:15, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1963, decode.acc_seg: 74.1129, aux.loss_ce: 0.0872, aux.acc_seg: 73.5080, loss: 0.2835 +2022-02-28 02:41:41,621 - mmseg - INFO - Iter [76150/160000] lr: 1.048e-05, eta: 5:49:02, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2045, decode.acc_seg: 75.3317, aux.loss_ce: 0.0906, aux.acc_seg: 74.7152, loss: 0.2951 +2022-02-28 02:41:53,928 - mmseg - INFO - Iter [76200/160000] lr: 1.048e-05, eta: 5:48:49, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1946, decode.acc_seg: 74.7020, aux.loss_ce: 0.0859, aux.acc_seg: 74.2685, loss: 0.2806 +2022-02-28 02:42:06,228 - mmseg - INFO - Iter [76250/160000] lr: 1.047e-05, eta: 5:48:36, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1935, decode.acc_seg: 74.5943, aux.loss_ce: 0.0859, aux.acc_seg: 74.0392, loss: 0.2795 +2022-02-28 02:42:18,731 - mmseg - INFO - Iter [76300/160000] lr: 1.046e-05, eta: 5:48:24, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1899, decode.acc_seg: 74.5854, aux.loss_ce: 0.0840, aux.acc_seg: 74.0943, loss: 0.2739 +2022-02-28 02:42:31,064 - mmseg - INFO - Iter [76350/160000] lr: 1.046e-05, eta: 5:48:11, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1777, decode.acc_seg: 74.3418, aux.loss_ce: 0.0791, aux.acc_seg: 73.7727, loss: 0.2569 +2022-02-28 02:42:43,483 - mmseg - INFO - Iter [76400/160000] lr: 1.045e-05, eta: 5:47:59, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1858, decode.acc_seg: 73.5184, aux.loss_ce: 0.0825, aux.acc_seg: 73.0263, loss: 0.2683 +2022-02-28 02:42:55,781 - mmseg - INFO - Iter [76450/160000] lr: 1.044e-05, eta: 5:47:46, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1928, decode.acc_seg: 74.7016, aux.loss_ce: 0.0846, aux.acc_seg: 74.2193, loss: 0.2774 +2022-02-28 02:43:08,325 - mmseg - INFO - Iter [76500/160000] lr: 1.044e-05, eta: 5:47:34, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2079, decode.acc_seg: 72.6182, aux.loss_ce: 0.0913, aux.acc_seg: 72.0231, loss: 0.2992 +2022-02-28 02:43:20,662 - mmseg - INFO - Iter [76550/160000] lr: 1.043e-05, eta: 5:47:21, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2057, decode.acc_seg: 74.5266, aux.loss_ce: 0.0910, aux.acc_seg: 73.9047, loss: 0.2967 +2022-02-28 02:43:33,033 - mmseg - INFO - Iter [76600/160000] lr: 1.043e-05, eta: 5:47:08, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1996, decode.acc_seg: 74.1245, aux.loss_ce: 0.0887, aux.acc_seg: 73.5350, loss: 0.2883 +2022-02-28 02:43:45,211 - mmseg - INFO - Iter [76650/160000] lr: 1.042e-05, eta: 5:46:56, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2018, decode.acc_seg: 72.6779, aux.loss_ce: 0.0890, aux.acc_seg: 72.1192, loss: 0.2907 +2022-02-28 02:43:57,557 - mmseg - INFO - Iter [76700/160000] lr: 1.041e-05, eta: 5:46:43, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2052, decode.acc_seg: 73.9663, aux.loss_ce: 0.0907, aux.acc_seg: 73.4242, loss: 0.2959 +2022-02-28 02:44:09,948 - mmseg - INFO - Iter [76750/160000] lr: 1.041e-05, eta: 5:46:30, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2000, decode.acc_seg: 73.9207, aux.loss_ce: 0.0885, aux.acc_seg: 73.3831, loss: 0.2886 +2022-02-28 02:44:22,185 - mmseg - INFO - Iter [76800/160000] lr: 1.040e-05, eta: 5:46:18, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2003, decode.acc_seg: 75.0897, aux.loss_ce: 0.0880, aux.acc_seg: 74.7009, loss: 0.2883 +2022-02-28 02:44:34,512 - mmseg - INFO - Iter [76850/160000] lr: 1.039e-05, eta: 5:46:05, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2005, decode.acc_seg: 74.6885, aux.loss_ce: 0.0882, aux.acc_seg: 74.1697, loss: 0.2887 +2022-02-28 02:44:46,791 - mmseg - INFO - Iter [76900/160000] lr: 1.039e-05, eta: 5:45:52, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2101, decode.acc_seg: 74.2022, aux.loss_ce: 0.0925, aux.acc_seg: 73.6197, loss: 0.3026 +2022-02-28 02:44:59,097 - mmseg - INFO - Iter [76950/160000] lr: 1.038e-05, eta: 5:45:39, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2005, decode.acc_seg: 75.0042, aux.loss_ce: 0.0892, aux.acc_seg: 74.3870, loss: 0.2897 +2022-02-28 02:45:11,503 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 02:45:11,504 - mmseg - INFO - Iter [77000/160000] lr: 1.038e-05, eta: 5:45:27, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1979, decode.acc_seg: 74.0399, aux.loss_ce: 0.0887, aux.acc_seg: 73.4305, loss: 0.2866 +2022-02-28 02:45:26,128 - mmseg - INFO - Iter [77050/160000] lr: 1.037e-05, eta: 5:45:17, time: 0.292, data_time: 0.048, memory: 56778, decode.loss_ce: 0.1829, decode.acc_seg: 74.6960, aux.loss_ce: 0.0814, aux.acc_seg: 74.2008, loss: 0.2643 +2022-02-28 02:45:38,410 - mmseg - INFO - Iter [77100/160000] lr: 1.036e-05, eta: 5:45:04, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2004, decode.acc_seg: 74.9651, aux.loss_ce: 0.0897, aux.acc_seg: 74.3687, loss: 0.2901 +2022-02-28 02:45:50,640 - mmseg - INFO - Iter [77150/160000] lr: 1.036e-05, eta: 5:44:51, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1997, decode.acc_seg: 74.1473, aux.loss_ce: 0.0893, aux.acc_seg: 73.5258, loss: 0.2890 +2022-02-28 02:46:02,843 - mmseg - INFO - Iter [77200/160000] lr: 1.035e-05, eta: 5:44:38, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1911, decode.acc_seg: 73.1893, aux.loss_ce: 0.0856, aux.acc_seg: 72.6442, loss: 0.2767 +2022-02-28 02:46:15,102 - mmseg - INFO - Iter [77250/160000] lr: 1.034e-05, eta: 5:44:26, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1846, decode.acc_seg: 73.3945, aux.loss_ce: 0.0832, aux.acc_seg: 72.7658, loss: 0.2677 +2022-02-28 02:46:27,458 - mmseg - INFO - Iter [77300/160000] lr: 1.034e-05, eta: 5:44:13, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1900, decode.acc_seg: 74.0260, aux.loss_ce: 0.0835, aux.acc_seg: 73.4646, loss: 0.2735 +2022-02-28 02:46:39,726 - mmseg - INFO - Iter [77350/160000] lr: 1.033e-05, eta: 5:44:00, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1768, decode.acc_seg: 75.6934, aux.loss_ce: 0.0786, aux.acc_seg: 75.1504, loss: 0.2554 +2022-02-28 02:46:52,125 - mmseg - INFO - Iter [77400/160000] lr: 1.033e-05, eta: 5:43:48, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1868, decode.acc_seg: 73.9142, aux.loss_ce: 0.0840, aux.acc_seg: 73.3781, loss: 0.2708 +2022-02-28 02:47:04,448 - mmseg - INFO - Iter [77450/160000] lr: 1.032e-05, eta: 5:43:35, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2037, decode.acc_seg: 75.2111, aux.loss_ce: 0.0899, aux.acc_seg: 74.6525, loss: 0.2936 +2022-02-28 02:47:16,864 - mmseg - INFO - Iter [77500/160000] lr: 1.031e-05, eta: 5:43:23, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1833, decode.acc_seg: 75.8971, aux.loss_ce: 0.0818, aux.acc_seg: 75.3580, loss: 0.2651 +2022-02-28 02:47:29,124 - mmseg - INFO - Iter [77550/160000] lr: 1.031e-05, eta: 5:43:10, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2073, decode.acc_seg: 74.1144, aux.loss_ce: 0.0918, aux.acc_seg: 73.4917, loss: 0.2992 +2022-02-28 02:47:41,506 - mmseg - INFO - Iter [77600/160000] lr: 1.030e-05, eta: 5:42:57, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1901, decode.acc_seg: 74.6836, aux.loss_ce: 0.0853, aux.acc_seg: 74.0367, loss: 0.2754 +2022-02-28 02:47:53,914 - mmseg - INFO - Iter [77650/160000] lr: 1.029e-05, eta: 5:42:45, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2063, decode.acc_seg: 75.0081, aux.loss_ce: 0.0927, aux.acc_seg: 74.3876, loss: 0.2991 +2022-02-28 02:48:06,086 - mmseg - INFO - Iter [77700/160000] lr: 1.029e-05, eta: 5:42:32, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1831, decode.acc_seg: 74.5470, aux.loss_ce: 0.0807, aux.acc_seg: 73.9587, loss: 0.2639 +2022-02-28 02:48:18,295 - mmseg - INFO - Iter [77750/160000] lr: 1.028e-05, eta: 5:42:19, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1978, decode.acc_seg: 74.5913, aux.loss_ce: 0.0873, aux.acc_seg: 74.1580, loss: 0.2851 +2022-02-28 02:48:30,519 - mmseg - INFO - Iter [77800/160000] lr: 1.028e-05, eta: 5:42:06, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1847, decode.acc_seg: 72.3190, aux.loss_ce: 0.0823, aux.acc_seg: 71.7588, loss: 0.2670 +2022-02-28 02:48:42,762 - mmseg - INFO - Iter [77850/160000] lr: 1.027e-05, eta: 5:41:54, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2029, decode.acc_seg: 74.3008, aux.loss_ce: 0.0903, aux.acc_seg: 73.7775, loss: 0.2932 +2022-02-28 02:48:54,926 - mmseg - INFO - Iter [77900/160000] lr: 1.026e-05, eta: 5:41:41, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1908, decode.acc_seg: 75.4102, aux.loss_ce: 0.0839, aux.acc_seg: 74.9472, loss: 0.2747 +2022-02-28 02:49:07,203 - mmseg - INFO - Iter [77950/160000] lr: 1.026e-05, eta: 5:41:28, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2106, decode.acc_seg: 72.7702, aux.loss_ce: 0.0922, aux.acc_seg: 72.2557, loss: 0.3029 +2022-02-28 02:49:19,536 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 02:49:19,536 - mmseg - INFO - Iter [78000/160000] lr: 1.025e-05, eta: 5:41:15, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1812, decode.acc_seg: 73.5793, aux.loss_ce: 0.0812, aux.acc_seg: 73.0005, loss: 0.2624 +2022-02-28 02:49:31,868 - mmseg - INFO - Iter [78050/160000] lr: 1.024e-05, eta: 5:41:03, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1922, decode.acc_seg: 74.2624, aux.loss_ce: 0.0855, aux.acc_seg: 73.6554, loss: 0.2777 +2022-02-28 02:49:44,106 - mmseg - INFO - Iter [78100/160000] lr: 1.024e-05, eta: 5:40:50, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1867, decode.acc_seg: 73.9824, aux.loss_ce: 0.0823, aux.acc_seg: 73.5183, loss: 0.2690 +2022-02-28 02:49:56,314 - mmseg - INFO - Iter [78150/160000] lr: 1.023e-05, eta: 5:40:37, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1968, decode.acc_seg: 74.9482, aux.loss_ce: 0.0871, aux.acc_seg: 74.3157, loss: 0.2839 +2022-02-28 02:50:08,664 - mmseg - INFO - Iter [78200/160000] lr: 1.023e-05, eta: 5:40:25, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1960, decode.acc_seg: 75.7849, aux.loss_ce: 0.0866, aux.acc_seg: 75.2472, loss: 0.2826 +2022-02-28 02:50:20,935 - mmseg - INFO - Iter [78250/160000] lr: 1.022e-05, eta: 5:40:12, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2086, decode.acc_seg: 74.5726, aux.loss_ce: 0.0916, aux.acc_seg: 74.0181, loss: 0.3002 +2022-02-28 02:50:33,239 - mmseg - INFO - Iter [78300/160000] lr: 1.021e-05, eta: 5:39:59, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1927, decode.acc_seg: 74.0854, aux.loss_ce: 0.0855, aux.acc_seg: 73.5698, loss: 0.2783 +2022-02-28 02:50:47,941 - mmseg - INFO - Iter [78350/160000] lr: 1.021e-05, eta: 5:39:49, time: 0.294, data_time: 0.051, memory: 56778, decode.loss_ce: 0.1771, decode.acc_seg: 74.6703, aux.loss_ce: 0.0793, aux.acc_seg: 74.0603, loss: 0.2563 +2022-02-28 02:51:00,377 - mmseg - INFO - Iter [78400/160000] lr: 1.020e-05, eta: 5:39:37, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1881, decode.acc_seg: 73.5625, aux.loss_ce: 0.0838, aux.acc_seg: 72.9936, loss: 0.2719 +2022-02-28 02:51:12,537 - mmseg - INFO - Iter [78450/160000] lr: 1.019e-05, eta: 5:39:24, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1824, decode.acc_seg: 76.1751, aux.loss_ce: 0.0821, aux.acc_seg: 75.5869, loss: 0.2644 +2022-02-28 02:51:24,717 - mmseg - INFO - Iter [78500/160000] lr: 1.019e-05, eta: 5:39:11, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1914, decode.acc_seg: 75.9588, aux.loss_ce: 0.0874, aux.acc_seg: 75.2388, loss: 0.2788 +2022-02-28 02:51:37,209 - mmseg - INFO - Iter [78550/160000] lr: 1.018e-05, eta: 5:38:58, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1875, decode.acc_seg: 72.7611, aux.loss_ce: 0.0840, aux.acc_seg: 72.1311, loss: 0.2715 +2022-02-28 02:51:49,524 - mmseg - INFO - Iter [78600/160000] lr: 1.018e-05, eta: 5:38:46, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1868, decode.acc_seg: 75.0393, aux.loss_ce: 0.0835, aux.acc_seg: 74.4732, loss: 0.2703 +2022-02-28 02:52:01,797 - mmseg - INFO - Iter [78650/160000] lr: 1.017e-05, eta: 5:38:33, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1960, decode.acc_seg: 74.2416, aux.loss_ce: 0.0876, aux.acc_seg: 73.5448, loss: 0.2836 +2022-02-28 02:52:14,474 - mmseg - INFO - Iter [78700/160000] lr: 1.016e-05, eta: 5:38:21, time: 0.254, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1824, decode.acc_seg: 74.3564, aux.loss_ce: 0.0811, aux.acc_seg: 73.8563, loss: 0.2634 +2022-02-28 02:52:26,743 - mmseg - INFO - Iter [78750/160000] lr: 1.016e-05, eta: 5:38:08, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1852, decode.acc_seg: 75.4832, aux.loss_ce: 0.0820, aux.acc_seg: 74.8813, loss: 0.2672 +2022-02-28 02:52:39,025 - mmseg - INFO - Iter [78800/160000] lr: 1.015e-05, eta: 5:37:55, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1809, decode.acc_seg: 76.0298, aux.loss_ce: 0.0805, aux.acc_seg: 75.5016, loss: 0.2614 +2022-02-28 02:52:51,271 - mmseg - INFO - Iter [78850/160000] lr: 1.014e-05, eta: 5:37:43, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1834, decode.acc_seg: 73.6158, aux.loss_ce: 0.0822, aux.acc_seg: 73.0499, loss: 0.2656 +2022-02-28 02:53:03,491 - mmseg - INFO - Iter [78900/160000] lr: 1.014e-05, eta: 5:37:30, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2018, decode.acc_seg: 75.1154, aux.loss_ce: 0.0890, aux.acc_seg: 74.6623, loss: 0.2908 +2022-02-28 02:53:15,754 - mmseg - INFO - Iter [78950/160000] lr: 1.013e-05, eta: 5:37:17, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1949, decode.acc_seg: 76.0566, aux.loss_ce: 0.0868, aux.acc_seg: 75.4862, loss: 0.2817 +2022-02-28 02:53:28,093 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 02:53:28,093 - mmseg - INFO - Iter [79000/160000] lr: 1.013e-05, eta: 5:37:05, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1898, decode.acc_seg: 73.9665, aux.loss_ce: 0.0849, aux.acc_seg: 73.4202, loss: 0.2747 +2022-02-28 02:53:40,612 - mmseg - INFO - Iter [79050/160000] lr: 1.012e-05, eta: 5:36:52, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1811, decode.acc_seg: 73.4198, aux.loss_ce: 0.0811, aux.acc_seg: 72.9129, loss: 0.2622 +2022-02-28 02:53:52,869 - mmseg - INFO - Iter [79100/160000] lr: 1.011e-05, eta: 5:36:39, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1929, decode.acc_seg: 73.8733, aux.loss_ce: 0.0855, aux.acc_seg: 73.2920, loss: 0.2784 +2022-02-28 02:54:05,204 - mmseg - INFO - Iter [79150/160000] lr: 1.011e-05, eta: 5:36:27, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1836, decode.acc_seg: 75.0391, aux.loss_ce: 0.0807, aux.acc_seg: 74.5428, loss: 0.2644 +2022-02-28 02:54:17,442 - mmseg - INFO - Iter [79200/160000] lr: 1.010e-05, eta: 5:36:14, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1980, decode.acc_seg: 74.5144, aux.loss_ce: 0.0882, aux.acc_seg: 73.9536, loss: 0.2862 +2022-02-28 02:54:29,737 - mmseg - INFO - Iter [79250/160000] lr: 1.009e-05, eta: 5:36:01, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2028, decode.acc_seg: 73.7817, aux.loss_ce: 0.0895, aux.acc_seg: 73.3265, loss: 0.2923 +2022-02-28 02:54:42,028 - mmseg - INFO - Iter [79300/160000] lr: 1.009e-05, eta: 5:35:49, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1842, decode.acc_seg: 75.6002, aux.loss_ce: 0.0811, aux.acc_seg: 75.0876, loss: 0.2654 +2022-02-28 02:54:54,212 - mmseg - INFO - Iter [79350/160000] lr: 1.008e-05, eta: 5:35:36, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1972, decode.acc_seg: 74.3345, aux.loss_ce: 0.0868, aux.acc_seg: 73.8590, loss: 0.2840 +2022-02-28 02:55:06,498 - mmseg - INFO - Iter [79400/160000] lr: 1.008e-05, eta: 5:35:23, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1810, decode.acc_seg: 75.8962, aux.loss_ce: 0.0821, aux.acc_seg: 75.2069, loss: 0.2631 +2022-02-28 02:55:18,814 - mmseg - INFO - Iter [79450/160000] lr: 1.007e-05, eta: 5:35:10, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1967, decode.acc_seg: 74.7256, aux.loss_ce: 0.0883, aux.acc_seg: 74.1262, loss: 0.2850 +2022-02-28 02:55:31,021 - mmseg - INFO - Iter [79500/160000] lr: 1.006e-05, eta: 5:34:58, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1815, decode.acc_seg: 74.9507, aux.loss_ce: 0.0802, aux.acc_seg: 74.3795, loss: 0.2617 +2022-02-28 02:55:43,189 - mmseg - INFO - Iter [79550/160000] lr: 1.006e-05, eta: 5:34:45, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1891, decode.acc_seg: 74.4777, aux.loss_ce: 0.0838, aux.acc_seg: 73.9661, loss: 0.2729 +2022-02-28 02:55:57,831 - mmseg - INFO - Iter [79600/160000] lr: 1.005e-05, eta: 5:34:35, time: 0.293, data_time: 0.051, memory: 56778, decode.loss_ce: 0.1799, decode.acc_seg: 74.3481, aux.loss_ce: 0.0804, aux.acc_seg: 73.7691, loss: 0.2603 +2022-02-28 02:56:10,011 - mmseg - INFO - Iter [79650/160000] lr: 1.004e-05, eta: 5:34:22, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1907, decode.acc_seg: 74.7500, aux.loss_ce: 0.0843, aux.acc_seg: 74.2289, loss: 0.2750 +2022-02-28 02:56:22,385 - mmseg - INFO - Iter [79700/160000] lr: 1.004e-05, eta: 5:34:09, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1882, decode.acc_seg: 73.7856, aux.loss_ce: 0.0843, aux.acc_seg: 73.2241, loss: 0.2725 +2022-02-28 02:56:34,568 - mmseg - INFO - Iter [79750/160000] lr: 1.003e-05, eta: 5:33:56, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1845, decode.acc_seg: 74.7107, aux.loss_ce: 0.0829, aux.acc_seg: 74.1526, loss: 0.2674 +2022-02-28 02:56:46,770 - mmseg - INFO - Iter [79800/160000] lr: 1.003e-05, eta: 5:33:44, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2057, decode.acc_seg: 74.9334, aux.loss_ce: 0.0903, aux.acc_seg: 74.3057, loss: 0.2960 +2022-02-28 02:56:59,082 - mmseg - INFO - Iter [79850/160000] lr: 1.002e-05, eta: 5:33:31, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2001, decode.acc_seg: 76.1674, aux.loss_ce: 0.0882, aux.acc_seg: 75.5816, loss: 0.2883 +2022-02-28 02:57:11,403 - mmseg - INFO - Iter [79900/160000] lr: 1.001e-05, eta: 5:33:18, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1975, decode.acc_seg: 74.1001, aux.loss_ce: 0.0857, aux.acc_seg: 73.6828, loss: 0.2832 +2022-02-28 02:57:23,896 - mmseg - INFO - Iter [79950/160000] lr: 1.001e-05, eta: 5:33:06, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1993, decode.acc_seg: 74.6109, aux.loss_ce: 0.0890, aux.acc_seg: 74.0319, loss: 0.2883 +2022-02-28 02:57:36,076 - mmseg - INFO - Saving checkpoint at 80000 iterations +2022-02-28 02:57:39,108 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 02:57:39,109 - mmseg - INFO - Iter [80000/160000] lr: 1.000e-05, eta: 5:32:56, time: 0.304, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1866, decode.acc_seg: 73.7821, aux.loss_ce: 0.0823, aux.acc_seg: 73.3028, loss: 0.2690 +2022-02-28 02:57:59,759 - mmseg - INFO - per class results: +2022-02-28 02:57:59,765 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 77.43 | 89.31 | +| building | 82.94 | 93.01 | +| sky | 94.36 | 97.65 | +| floor | 82.07 | 90.67 | +| tree | 74.34 | 88.66 | +| ceiling | 83.4 | 91.6 | +| road | 82.6 | 91.06 | +| bed | 88.35 | 95.84 | +| windowpane | 61.76 | 77.44 | +| grass | 62.33 | 76.23 | +| cabinet | 61.6 | 72.8 | +| sidewalk | 64.89 | 80.54 | +| person | 81.61 | 92.69 | +| earth | 35.78 | 46.15 | +| door | 48.35 | 58.14 | +| table | 62.23 | 79.83 | +| mountain | 57.41 | 72.55 | +| plant | 49.76 | 58.62 | +| curtain | 74.61 | 87.61 | +| chair | 58.98 | 71.69 | +| car | 83.44 | 91.63 | +| water | 59.79 | 76.81 | +| painting | 73.53 | 86.21 | +| sofa | 68.4 | 83.82 | +| shelf | 44.75 | 65.28 | +| house | 46.77 | 56.62 | +| sea | 65.66 | 91.73 | +| mirror | 68.65 | 74.92 | +| rug | 67.15 | 74.78 | +| field | 27.11 | 51.76 | +| armchair | 43.95 | 63.33 | +| seat | 61.87 | 85.97 | +| fence | 43.97 | 65.56 | +| desk | 48.85 | 67.08 | +| rock | 41.63 | 66.1 | +| wardrobe | 51.07 | 73.46 | +| lamp | 62.53 | 73.65 | +| bathtub | 79.93 | 82.7 | +| railing | 36.53 | 51.85 | +| cushion | 56.3 | 64.12 | +| base | 27.06 | 39.32 | +| box | 28.44 | 37.11 | +| column | 45.95 | 56.46 | +| signboard | 36.46 | 49.32 | +| chest of drawers | 38.38 | 51.72 | +| counter | 31.48 | 36.04 | +| sand | 49.54 | 77.55 | +| sink | 73.15 | 80.07 | +| skyscraper | 50.2 | 62.61 | +| fireplace | 78.18 | 86.89 | +| refrigerator | 73.94 | 82.3 | +| grandstand | 41.97 | 80.46 | +| path | 21.27 | 29.21 | +| stairs | 26.48 | 31.94 | +| runway | 63.04 | 82.26 | +| case | 48.98 | 58.22 | +| pool table | 92.51 | 96.77 | +| pillow | 55.93 | 70.38 | +| screen door | 75.92 | 78.79 | +| stairway | 27.42 | 39.11 | +| river | 15.14 | 18.49 | +| bridge | 62.71 | 69.97 | +| bookcase | 41.81 | 66.11 | +| blind | 32.87 | 35.48 | +| coffee table | 64.63 | 81.3 | +| toilet | 85.72 | 88.72 | +| flower | 38.07 | 50.28 | +| book | 47.14 | 62.23 | +| hill | 6.27 | 10.77 | +| bench | 43.6 | 50.8 | +| countertop | 57.98 | 78.87 | +| stove | 79.8 | 88.23 | +| palm | 51.12 | 79.99 | +| kitchen island | 46.45 | 73.51 | +| computer | 72.18 | 86.57 | +| swivel chair | 46.47 | 61.74 | +| boat | 42.19 | 57.91 | +| bar | 31.75 | 36.71 | +| arcade machine | 51.27 | 55.34 | +| hovel | 29.73 | 30.73 | +| bus | 86.46 | 95.94 | +| towel | 66.8 | 79.19 | +| light | 56.48 | 63.49 | +| truck | 32.69 | 44.77 | +| tower | 19.12 | 26.18 | +| chandelier | 67.86 | 79.23 | +| awning | 30.99 | 36.52 | +| streetlight | 26.25 | 31.66 | +| booth | 46.97 | 48.24 | +| television receiver | 72.2 | 82.98 | +| airplane | 59.6 | 64.17 | +| dirt track | 0.24 | 1.08 | +| apparel | 34.45 | 41.35 | +| pole | 30.8 | 41.18 | +| land | 2.31 | 4.17 | +| bannister | 15.43 | 21.77 | +| escalator | 55.29 | 78.19 | +| ottoman | 48.05 | 64.19 | +| bottle | 39.61 | 55.1 | +| buffet | 45.11 | 49.22 | +| poster | 29.35 | 38.44 | +| stage | 14.32 | 17.56 | +| van | 40.09 | 63.83 | +| ship | 58.76 | 91.25 | +| fountain | 30.45 | 30.91 | +| conveyer belt | 71.27 | 91.42 | +| canopy | 34.29 | 40.84 | +| washer | 76.76 | 80.6 | +| plaything | 25.66 | 31.68 | +| swimming pool | 55.66 | 58.6 | +| stool | 46.15 | 66.66 | +| barrel | 45.17 | 68.72 | +| basket | 34.08 | 43.59 | +| waterfall | 48.37 | 54.83 | +| tent | 79.71 | 98.5 | +| bag | 16.51 | 19.74 | +| minibike | 67.12 | 81.53 | +| cradle | 77.58 | 97.53 | +| oven | 52.08 | 58.69 | +| ball | 52.16 | 66.14 | +| food | 48.11 | 57.55 | +| step | 8.33 | 9.3 | +| tank | 47.45 | 49.41 | +| trade name | 16.45 | 18.46 | +| microwave | 83.54 | 92.59 | +| pot | 42.23 | 47.02 | +| animal | 58.64 | 60.57 | +| bicycle | 54.0 | 84.9 | +| lake | 54.48 | 63.61 | +| dishwasher | 65.41 | 72.64 | +| screen | 53.76 | 66.05 | +| blanket | 15.47 | 21.09 | +| sculpture | 61.7 | 84.14 | +| hood | 55.22 | 64.36 | +| sconce | 45.57 | 54.61 | +| vase | 44.13 | 57.0 | +| traffic light | 28.7 | 45.96 | +| tray | 9.99 | 14.22 | +| ashcan | 45.19 | 58.55 | +| fan | 62.8 | 74.78 | +| pier | 52.53 | 75.55 | +| crt screen | 12.56 | 29.29 | +| plate | 48.86 | 71.41 | +| monitor | 23.97 | 29.72 | +| bulletin board | 26.02 | 30.89 | +| shower | 1.67 | 4.52 | +| radiator | 53.61 | 58.21 | +| glass | 14.28 | 15.48 | +| clock | 28.08 | 29.49 | +| flag | 54.53 | 59.47 | ++---------------------+-------+-------+ +2022-02-28 02:57:59,765 - mmseg - INFO - Summary: +2022-02-28 02:57:59,766 - mmseg - INFO - ++-------+-------+------+ +| aAcc | mIoU | mAcc | ++-------+-------+------+ +| 83.22 | 49.73 | 61.2 | ++-------+-------+------+ +2022-02-28 02:57:59,771 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 02:57:59,771 - mmseg - INFO - Iter(val) [250] aAcc: 0.8322, mIoU: 0.4973, mAcc: 0.6120, IoU.wall: 0.7743, IoU.building: 0.8294, IoU.sky: 0.9436, IoU.floor: 0.8207, IoU.tree: 0.7434, IoU.ceiling: 0.8340, IoU.road: 0.8260, IoU.bed : 0.8835, IoU.windowpane: 0.6176, IoU.grass: 0.6233, IoU.cabinet: 0.6160, IoU.sidewalk: 0.6489, IoU.person: 0.8161, IoU.earth: 0.3578, IoU.door: 0.4835, IoU.table: 0.6223, IoU.mountain: 0.5741, IoU.plant: 0.4976, IoU.curtain: 0.7461, IoU.chair: 0.5898, IoU.car: 0.8344, IoU.water: 0.5979, IoU.painting: 0.7353, IoU.sofa: 0.6840, IoU.shelf: 0.4475, IoU.house: 0.4677, IoU.sea: 0.6566, IoU.mirror: 0.6865, IoU.rug: 0.6715, IoU.field: 0.2711, IoU.armchair: 0.4395, IoU.seat: 0.6187, IoU.fence: 0.4397, IoU.desk: 0.4885, IoU.rock: 0.4163, IoU.wardrobe: 0.5107, IoU.lamp: 0.6253, IoU.bathtub: 0.7993, IoU.railing: 0.3653, IoU.cushion: 0.5630, IoU.base: 0.2706, IoU.box: 0.2844, IoU.column: 0.4595, IoU.signboard: 0.3646, IoU.chest of drawers: 0.3838, IoU.counter: 0.3148, IoU.sand: 0.4954, IoU.sink: 0.7315, IoU.skyscraper: 0.5020, IoU.fireplace: 0.7818, IoU.refrigerator: 0.7394, IoU.grandstand: 0.4197, IoU.path: 0.2127, IoU.stairs: 0.2648, IoU.runway: 0.6304, IoU.case: 0.4898, IoU.pool table: 0.9251, IoU.pillow: 0.5593, IoU.screen door: 0.7592, IoU.stairway: 0.2742, IoU.river: 0.1514, IoU.bridge: 0.6271, IoU.bookcase: 0.4181, IoU.blind: 0.3287, IoU.coffee table: 0.6463, IoU.toilet: 0.8572, IoU.flower: 0.3807, IoU.book: 0.4714, IoU.hill: 0.0627, IoU.bench: 0.4360, IoU.countertop: 0.5798, IoU.stove: 0.7980, IoU.palm: 0.5112, IoU.kitchen island: 0.4645, IoU.computer: 0.7218, IoU.swivel chair: 0.4647, IoU.boat: 0.4219, IoU.bar: 0.3175, IoU.arcade machine: 0.5127, IoU.hovel: 0.2973, IoU.bus: 0.8646, IoU.towel: 0.6680, IoU.light: 0.5648, IoU.truck: 0.3269, IoU.tower: 0.1912, IoU.chandelier: 0.6786, IoU.awning: 0.3099, IoU.streetlight: 0.2625, IoU.booth: 0.4697, IoU.television receiver: 0.7220, IoU.airplane: 0.5960, IoU.dirt track: 0.0024, IoU.apparel: 0.3445, IoU.pole: 0.3080, IoU.land: 0.0231, IoU.bannister: 0.1543, IoU.escalator: 0.5529, IoU.ottoman: 0.4805, IoU.bottle: 0.3961, IoU.buffet: 0.4511, IoU.poster: 0.2935, IoU.stage: 0.1432, IoU.van: 0.4009, IoU.ship: 0.5876, IoU.fountain: 0.3045, IoU.conveyer belt: 0.7127, IoU.canopy: 0.3429, IoU.washer: 0.7676, IoU.plaything: 0.2566, IoU.swimming pool: 0.5566, IoU.stool: 0.4615, IoU.barrel: 0.4517, IoU.basket: 0.3408, IoU.waterfall: 0.4837, IoU.tent: 0.7971, IoU.bag: 0.1651, IoU.minibike: 0.6712, IoU.cradle: 0.7758, IoU.oven: 0.5208, IoU.ball: 0.5216, IoU.food: 0.4811, IoU.step: 0.0833, IoU.tank: 0.4745, IoU.trade name: 0.1645, IoU.microwave: 0.8354, IoU.pot: 0.4223, IoU.animal: 0.5864, IoU.bicycle: 0.5400, IoU.lake: 0.5448, IoU.dishwasher: 0.6541, IoU.screen: 0.5376, IoU.blanket: 0.1547, IoU.sculpture: 0.6170, IoU.hood: 0.5522, IoU.sconce: 0.4557, IoU.vase: 0.4413, IoU.traffic light: 0.2870, IoU.tray: 0.0999, IoU.ashcan: 0.4519, IoU.fan: 0.6280, IoU.pier: 0.5253, IoU.crt screen: 0.1256, IoU.plate: 0.4886, IoU.monitor: 0.2397, IoU.bulletin board: 0.2602, IoU.shower: 0.0167, IoU.radiator: 0.5361, IoU.glass: 0.1428, IoU.clock: 0.2808, IoU.flag: 0.5453, Acc.wall: 0.8931, Acc.building: 0.9301, Acc.sky: 0.9765, Acc.floor: 0.9067, Acc.tree: 0.8866, Acc.ceiling: 0.9160, Acc.road: 0.9106, Acc.bed : 0.9584, Acc.windowpane: 0.7744, Acc.grass: 0.7623, Acc.cabinet: 0.7280, Acc.sidewalk: 0.8054, Acc.person: 0.9269, Acc.earth: 0.4615, Acc.door: 0.5814, Acc.table: 0.7983, Acc.mountain: 0.7255, Acc.plant: 0.5862, Acc.curtain: 0.8761, Acc.chair: 0.7169, Acc.car: 0.9163, Acc.water: 0.7681, Acc.painting: 0.8621, Acc.sofa: 0.8382, Acc.shelf: 0.6528, Acc.house: 0.5662, Acc.sea: 0.9173, Acc.mirror: 0.7492, Acc.rug: 0.7478, Acc.field: 0.5176, Acc.armchair: 0.6333, Acc.seat: 0.8597, Acc.fence: 0.6556, Acc.desk: 0.6708, Acc.rock: 0.6610, Acc.wardrobe: 0.7346, Acc.lamp: 0.7365, Acc.bathtub: 0.8270, Acc.railing: 0.5185, Acc.cushion: 0.6412, Acc.base: 0.3932, Acc.box: 0.3711, Acc.column: 0.5646, Acc.signboard: 0.4932, Acc.chest of drawers: 0.5172, Acc.counter: 0.3604, Acc.sand: 0.7755, Acc.sink: 0.8007, Acc.skyscraper: 0.6261, Acc.fireplace: 0.8689, Acc.refrigerator: 0.8230, Acc.grandstand: 0.8046, Acc.path: 0.2921, Acc.stairs: 0.3194, Acc.runway: 0.8226, Acc.case: 0.5822, Acc.pool table: 0.9677, Acc.pillow: 0.7038, Acc.screen door: 0.7879, Acc.stairway: 0.3911, Acc.river: 0.1849, Acc.bridge: 0.6997, Acc.bookcase: 0.6611, Acc.blind: 0.3548, Acc.coffee table: 0.8130, Acc.toilet: 0.8872, Acc.flower: 0.5028, Acc.book: 0.6223, Acc.hill: 0.1077, Acc.bench: 0.5080, Acc.countertop: 0.7887, Acc.stove: 0.8823, Acc.palm: 0.7999, Acc.kitchen island: 0.7351, Acc.computer: 0.8657, Acc.swivel chair: 0.6174, Acc.boat: 0.5791, Acc.bar: 0.3671, Acc.arcade machine: 0.5534, Acc.hovel: 0.3073, Acc.bus: 0.9594, Acc.towel: 0.7919, Acc.light: 0.6349, Acc.truck: 0.4477, Acc.tower: 0.2618, Acc.chandelier: 0.7923, Acc.awning: 0.3652, Acc.streetlight: 0.3166, Acc.booth: 0.4824, Acc.television receiver: 0.8298, Acc.airplane: 0.6417, Acc.dirt track: 0.0108, Acc.apparel: 0.4135, Acc.pole: 0.4118, Acc.land: 0.0417, Acc.bannister: 0.2177, Acc.escalator: 0.7819, Acc.ottoman: 0.6419, Acc.bottle: 0.5510, Acc.buffet: 0.4922, Acc.poster: 0.3844, Acc.stage: 0.1756, Acc.van: 0.6383, Acc.ship: 0.9125, Acc.fountain: 0.3091, Acc.conveyer belt: 0.9142, Acc.canopy: 0.4084, Acc.washer: 0.8060, Acc.plaything: 0.3168, Acc.swimming pool: 0.5860, Acc.stool: 0.6666, Acc.barrel: 0.6872, Acc.basket: 0.4359, Acc.waterfall: 0.5483, Acc.tent: 0.9850, Acc.bag: 0.1974, Acc.minibike: 0.8153, Acc.cradle: 0.9753, Acc.oven: 0.5869, Acc.ball: 0.6614, Acc.food: 0.5755, Acc.step: 0.0930, Acc.tank: 0.4941, Acc.trade name: 0.1846, Acc.microwave: 0.9259, Acc.pot: 0.4702, Acc.animal: 0.6057, Acc.bicycle: 0.8490, Acc.lake: 0.6361, Acc.dishwasher: 0.7264, Acc.screen: 0.6605, Acc.blanket: 0.2109, Acc.sculpture: 0.8414, Acc.hood: 0.6436, Acc.sconce: 0.5461, Acc.vase: 0.5700, Acc.traffic light: 0.4596, Acc.tray: 0.1422, Acc.ashcan: 0.5855, Acc.fan: 0.7478, Acc.pier: 0.7555, Acc.crt screen: 0.2929, Acc.plate: 0.7141, Acc.monitor: 0.2972, Acc.bulletin board: 0.3089, Acc.shower: 0.0452, Acc.radiator: 0.5821, Acc.glass: 0.1548, Acc.clock: 0.2949, Acc.flag: 0.5947 +2022-02-28 02:58:12,000 - mmseg - INFO - Iter [80050/160000] lr: 9.994e-06, eta: 5:33:04, time: 0.658, data_time: 0.417, memory: 56778, decode.loss_ce: 0.1912, decode.acc_seg: 74.8895, aux.loss_ce: 0.0858, aux.acc_seg: 74.2460, loss: 0.2770 +2022-02-28 02:58:24,281 - mmseg - INFO - Iter [80100/160000] lr: 9.988e-06, eta: 5:32:51, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1846, decode.acc_seg: 74.1071, aux.loss_ce: 0.0832, aux.acc_seg: 73.5527, loss: 0.2678 +2022-02-28 02:58:36,477 - mmseg - INFO - Iter [80150/160000] lr: 9.981e-06, eta: 5:32:39, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1886, decode.acc_seg: 74.0916, aux.loss_ce: 0.0840, aux.acc_seg: 73.4555, loss: 0.2726 +2022-02-28 02:58:48,797 - mmseg - INFO - Iter [80200/160000] lr: 9.975e-06, eta: 5:32:26, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1843, decode.acc_seg: 73.8237, aux.loss_ce: 0.0825, aux.acc_seg: 73.2509, loss: 0.2668 +2022-02-28 02:59:01,130 - mmseg - INFO - Iter [80250/160000] lr: 9.969e-06, eta: 5:32:13, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1935, decode.acc_seg: 74.0070, aux.loss_ce: 0.0862, aux.acc_seg: 73.3995, loss: 0.2798 +2022-02-28 02:59:13,427 - mmseg - INFO - Iter [80300/160000] lr: 9.963e-06, eta: 5:32:00, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1816, decode.acc_seg: 75.3421, aux.loss_ce: 0.0813, aux.acc_seg: 74.7726, loss: 0.2629 +2022-02-28 02:59:25,902 - mmseg - INFO - Iter [80350/160000] lr: 9.956e-06, eta: 5:31:48, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1908, decode.acc_seg: 74.5989, aux.loss_ce: 0.0855, aux.acc_seg: 74.0503, loss: 0.2763 +2022-02-28 02:59:38,275 - mmseg - INFO - Iter [80400/160000] lr: 9.950e-06, eta: 5:31:35, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1891, decode.acc_seg: 75.0520, aux.loss_ce: 0.0840, aux.acc_seg: 74.4514, loss: 0.2730 +2022-02-28 02:59:50,456 - mmseg - INFO - Iter [80450/160000] lr: 9.944e-06, eta: 5:31:23, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1853, decode.acc_seg: 75.5024, aux.loss_ce: 0.0829, aux.acc_seg: 74.9281, loss: 0.2682 +2022-02-28 03:00:02,725 - mmseg - INFO - Iter [80500/160000] lr: 9.938e-06, eta: 5:31:10, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1816, decode.acc_seg: 74.2691, aux.loss_ce: 0.0803, aux.acc_seg: 73.8999, loss: 0.2619 +2022-02-28 03:00:14,966 - mmseg - INFO - Iter [80550/160000] lr: 9.931e-06, eta: 5:30:57, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1857, decode.acc_seg: 75.2253, aux.loss_ce: 0.0833, aux.acc_seg: 74.6807, loss: 0.2690 +2022-02-28 03:00:27,162 - mmseg - INFO - Iter [80600/160000] lr: 9.925e-06, eta: 5:30:44, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1766, decode.acc_seg: 74.0838, aux.loss_ce: 0.0792, aux.acc_seg: 73.4964, loss: 0.2558 +2022-02-28 03:00:39,472 - mmseg - INFO - Iter [80650/160000] lr: 9.919e-06, eta: 5:30:32, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1866, decode.acc_seg: 74.2508, aux.loss_ce: 0.0834, aux.acc_seg: 73.7271, loss: 0.2700 +2022-02-28 03:00:51,643 - mmseg - INFO - Iter [80700/160000] lr: 9.913e-06, eta: 5:30:19, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1861, decode.acc_seg: 75.8029, aux.loss_ce: 0.0826, aux.acc_seg: 75.2804, loss: 0.2687 +2022-02-28 03:01:04,060 - mmseg - INFO - Iter [80750/160000] lr: 9.906e-06, eta: 5:30:06, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1751, decode.acc_seg: 73.1197, aux.loss_ce: 0.0785, aux.acc_seg: 72.5580, loss: 0.2536 +2022-02-28 03:01:16,345 - mmseg - INFO - Iter [80800/160000] lr: 9.900e-06, eta: 5:29:53, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1811, decode.acc_seg: 74.9259, aux.loss_ce: 0.0816, aux.acc_seg: 74.2560, loss: 0.2627 +2022-02-28 03:01:30,991 - mmseg - INFO - Iter [80850/160000] lr: 9.894e-06, eta: 5:29:43, time: 0.293, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1836, decode.acc_seg: 74.9585, aux.loss_ce: 0.0816, aux.acc_seg: 74.4328, loss: 0.2652 +2022-02-28 03:01:43,160 - mmseg - INFO - Iter [80900/160000] lr: 9.888e-06, eta: 5:29:30, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1884, decode.acc_seg: 75.2025, aux.loss_ce: 0.0835, aux.acc_seg: 74.5761, loss: 0.2719 +2022-02-28 03:01:55,456 - mmseg - INFO - Iter [80950/160000] lr: 9.881e-06, eta: 5:29:18, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1849, decode.acc_seg: 74.8232, aux.loss_ce: 0.0835, aux.acc_seg: 74.2033, loss: 0.2683 +2022-02-28 03:02:07,745 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 03:02:07,745 - mmseg - INFO - Iter [81000/160000] lr: 9.875e-06, eta: 5:29:05, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1762, decode.acc_seg: 75.6290, aux.loss_ce: 0.0790, aux.acc_seg: 75.0399, loss: 0.2552 +2022-02-28 03:02:20,100 - mmseg - INFO - Iter [81050/160000] lr: 9.869e-06, eta: 5:28:52, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1886, decode.acc_seg: 75.3904, aux.loss_ce: 0.0852, aux.acc_seg: 74.7109, loss: 0.2737 +2022-02-28 03:02:32,547 - mmseg - INFO - Iter [81100/160000] lr: 9.863e-06, eta: 5:28:40, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2067, decode.acc_seg: 74.6765, aux.loss_ce: 0.0904, aux.acc_seg: 74.0801, loss: 0.2972 +2022-02-28 03:02:44,935 - mmseg - INFO - Iter [81150/160000] lr: 9.856e-06, eta: 5:28:27, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1836, decode.acc_seg: 74.4455, aux.loss_ce: 0.0812, aux.acc_seg: 73.9388, loss: 0.2648 +2022-02-28 03:02:57,360 - mmseg - INFO - Iter [81200/160000] lr: 9.850e-06, eta: 5:28:15, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1903, decode.acc_seg: 72.9007, aux.loss_ce: 0.0840, aux.acc_seg: 72.3705, loss: 0.2743 +2022-02-28 03:03:09,622 - mmseg - INFO - Iter [81250/160000] lr: 9.844e-06, eta: 5:28:02, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2003, decode.acc_seg: 73.5985, aux.loss_ce: 0.0886, aux.acc_seg: 72.9808, loss: 0.2889 +2022-02-28 03:03:21,843 - mmseg - INFO - Iter [81300/160000] lr: 9.838e-06, eta: 5:27:49, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1960, decode.acc_seg: 74.4170, aux.loss_ce: 0.0875, aux.acc_seg: 73.8259, loss: 0.2836 +2022-02-28 03:03:34,387 - mmseg - INFO - Iter [81350/160000] lr: 9.831e-06, eta: 5:27:37, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1823, decode.acc_seg: 73.7494, aux.loss_ce: 0.0805, aux.acc_seg: 73.2348, loss: 0.2629 +2022-02-28 03:03:46,633 - mmseg - INFO - Iter [81400/160000] lr: 9.825e-06, eta: 5:27:24, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1867, decode.acc_seg: 74.9221, aux.loss_ce: 0.0838, aux.acc_seg: 74.3201, loss: 0.2705 +2022-02-28 03:03:58,828 - mmseg - INFO - Iter [81450/160000] lr: 9.819e-06, eta: 5:27:11, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1885, decode.acc_seg: 73.9895, aux.loss_ce: 0.0835, aux.acc_seg: 73.5008, loss: 0.2720 +2022-02-28 03:04:11,208 - mmseg - INFO - Iter [81500/160000] lr: 9.813e-06, eta: 5:26:58, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1952, decode.acc_seg: 75.1219, aux.loss_ce: 0.0870, aux.acc_seg: 74.4885, loss: 0.2822 +2022-02-28 03:04:23,434 - mmseg - INFO - Iter [81550/160000] lr: 9.806e-06, eta: 5:26:46, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1962, decode.acc_seg: 75.7210, aux.loss_ce: 0.0875, aux.acc_seg: 75.0456, loss: 0.2837 +2022-02-28 03:04:35,683 - mmseg - INFO - Iter [81600/160000] lr: 9.800e-06, eta: 5:26:33, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1928, decode.acc_seg: 74.6182, aux.loss_ce: 0.0852, aux.acc_seg: 74.1172, loss: 0.2781 +2022-02-28 03:04:48,258 - mmseg - INFO - Iter [81650/160000] lr: 9.794e-06, eta: 5:26:21, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1990, decode.acc_seg: 74.9720, aux.loss_ce: 0.0883, aux.acc_seg: 74.4548, loss: 0.2873 +2022-02-28 03:05:00,949 - mmseg - INFO - Iter [81700/160000] lr: 9.788e-06, eta: 5:26:08, time: 0.254, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2004, decode.acc_seg: 74.5301, aux.loss_ce: 0.0882, aux.acc_seg: 74.0494, loss: 0.2886 +2022-02-28 03:05:13,584 - mmseg - INFO - Iter [81750/160000] lr: 9.781e-06, eta: 5:25:56, time: 0.253, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1865, decode.acc_seg: 75.0801, aux.loss_ce: 0.0838, aux.acc_seg: 74.4716, loss: 0.2703 +2022-02-28 03:05:25,987 - mmseg - INFO - Iter [81800/160000] lr: 9.775e-06, eta: 5:25:43, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1851, decode.acc_seg: 75.2676, aux.loss_ce: 0.0818, aux.acc_seg: 74.6849, loss: 0.2669 +2022-02-28 03:05:38,229 - mmseg - INFO - Iter [81850/160000] lr: 9.769e-06, eta: 5:25:31, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1909, decode.acc_seg: 74.2756, aux.loss_ce: 0.0837, aux.acc_seg: 73.7495, loss: 0.2746 +2022-02-28 03:05:50,555 - mmseg - INFO - Iter [81900/160000] lr: 9.763e-06, eta: 5:25:18, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1903, decode.acc_seg: 74.4502, aux.loss_ce: 0.0847, aux.acc_seg: 73.8556, loss: 0.2751 +2022-02-28 03:06:02,771 - mmseg - INFO - Iter [81950/160000] lr: 9.756e-06, eta: 5:25:05, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1839, decode.acc_seg: 74.1316, aux.loss_ce: 0.0823, aux.acc_seg: 73.5989, loss: 0.2661 +2022-02-28 03:06:14,956 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 03:06:14,956 - mmseg - INFO - Iter [82000/160000] lr: 9.750e-06, eta: 5:24:52, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1876, decode.acc_seg: 74.6790, aux.loss_ce: 0.0831, aux.acc_seg: 74.1596, loss: 0.2708 +2022-02-28 03:06:27,305 - mmseg - INFO - Iter [82050/160000] lr: 9.744e-06, eta: 5:24:40, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1807, decode.acc_seg: 76.9402, aux.loss_ce: 0.0807, aux.acc_seg: 76.3451, loss: 0.2614 +2022-02-28 03:06:41,909 - mmseg - INFO - Iter [82100/160000] lr: 9.738e-06, eta: 5:24:29, time: 0.292, data_time: 0.049, memory: 56778, decode.loss_ce: 0.1896, decode.acc_seg: 74.4178, aux.loss_ce: 0.0851, aux.acc_seg: 73.7481, loss: 0.2747 +2022-02-28 03:06:54,206 - mmseg - INFO - Iter [82150/160000] lr: 9.731e-06, eta: 5:24:17, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1793, decode.acc_seg: 75.2889, aux.loss_ce: 0.0820, aux.acc_seg: 74.5855, loss: 0.2613 +2022-02-28 03:07:06,647 - mmseg - INFO - Iter [82200/160000] lr: 9.725e-06, eta: 5:24:04, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1918, decode.acc_seg: 74.1823, aux.loss_ce: 0.0862, aux.acc_seg: 73.5749, loss: 0.2780 +2022-02-28 03:07:19,107 - mmseg - INFO - Iter [82250/160000] lr: 9.719e-06, eta: 5:23:51, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1782, decode.acc_seg: 73.8528, aux.loss_ce: 0.0789, aux.acc_seg: 73.3070, loss: 0.2572 +2022-02-28 03:07:31,375 - mmseg - INFO - Iter [82300/160000] lr: 9.713e-06, eta: 5:23:39, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1879, decode.acc_seg: 74.9778, aux.loss_ce: 0.0834, aux.acc_seg: 74.5098, loss: 0.2713 +2022-02-28 03:07:43,785 - mmseg - INFO - Iter [82350/160000] lr: 9.706e-06, eta: 5:23:26, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1810, decode.acc_seg: 73.5437, aux.loss_ce: 0.0816, aux.acc_seg: 72.9452, loss: 0.2626 +2022-02-28 03:07:56,038 - mmseg - INFO - Iter [82400/160000] lr: 9.700e-06, eta: 5:23:13, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1807, decode.acc_seg: 75.4549, aux.loss_ce: 0.0811, aux.acc_seg: 74.8393, loss: 0.2618 +2022-02-28 03:08:08,287 - mmseg - INFO - Iter [82450/160000] lr: 9.694e-06, eta: 5:23:01, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1777, decode.acc_seg: 73.9187, aux.loss_ce: 0.0789, aux.acc_seg: 73.2512, loss: 0.2566 +2022-02-28 03:08:20,518 - mmseg - INFO - Iter [82500/160000] lr: 9.688e-06, eta: 5:22:48, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1896, decode.acc_seg: 73.6602, aux.loss_ce: 0.0831, aux.acc_seg: 73.1827, loss: 0.2728 +2022-02-28 03:08:32,685 - mmseg - INFO - Iter [82550/160000] lr: 9.681e-06, eta: 5:22:35, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1786, decode.acc_seg: 73.7927, aux.loss_ce: 0.0800, aux.acc_seg: 73.1924, loss: 0.2586 +2022-02-28 03:08:45,100 - mmseg - INFO - Iter [82600/160000] lr: 9.675e-06, eta: 5:22:23, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1804, decode.acc_seg: 74.3394, aux.loss_ce: 0.0800, aux.acc_seg: 73.8395, loss: 0.2604 +2022-02-28 03:08:57,313 - mmseg - INFO - Iter [82650/160000] lr: 9.669e-06, eta: 5:22:10, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1890, decode.acc_seg: 73.3620, aux.loss_ce: 0.0846, aux.acc_seg: 72.7886, loss: 0.2736 +2022-02-28 03:09:09,657 - mmseg - INFO - Iter [82700/160000] lr: 9.663e-06, eta: 5:21:57, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1865, decode.acc_seg: 74.5303, aux.loss_ce: 0.0833, aux.acc_seg: 73.9758, loss: 0.2698 +2022-02-28 03:09:21,900 - mmseg - INFO - Iter [82750/160000] lr: 9.656e-06, eta: 5:21:44, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1867, decode.acc_seg: 75.8182, aux.loss_ce: 0.0822, aux.acc_seg: 75.3066, loss: 0.2689 +2022-02-28 03:09:34,106 - mmseg - INFO - Iter [82800/160000] lr: 9.650e-06, eta: 5:21:32, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1840, decode.acc_seg: 74.9048, aux.loss_ce: 0.0829, aux.acc_seg: 74.3268, loss: 0.2669 +2022-02-28 03:09:46,407 - mmseg - INFO - Iter [82850/160000] lr: 9.644e-06, eta: 5:21:19, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1884, decode.acc_seg: 75.4393, aux.loss_ce: 0.0843, aux.acc_seg: 74.8354, loss: 0.2727 +2022-02-28 03:09:58,662 - mmseg - INFO - Iter [82900/160000] lr: 9.638e-06, eta: 5:21:06, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1842, decode.acc_seg: 75.0054, aux.loss_ce: 0.0826, aux.acc_seg: 74.3869, loss: 0.2668 +2022-02-28 03:10:10,828 - mmseg - INFO - Iter [82950/160000] lr: 9.631e-06, eta: 5:20:53, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1811, decode.acc_seg: 74.6843, aux.loss_ce: 0.0810, aux.acc_seg: 74.1488, loss: 0.2621 +2022-02-28 03:10:23,079 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 03:10:23,080 - mmseg - INFO - Iter [83000/160000] lr: 9.625e-06, eta: 5:20:41, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1909, decode.acc_seg: 74.5431, aux.loss_ce: 0.0851, aux.acc_seg: 73.9803, loss: 0.2760 +2022-02-28 03:10:35,367 - mmseg - INFO - Iter [83050/160000] lr: 9.619e-06, eta: 5:20:28, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1910, decode.acc_seg: 72.7304, aux.loss_ce: 0.0854, aux.acc_seg: 72.1880, loss: 0.2764 +2022-02-28 03:10:47,821 - mmseg - INFO - Iter [83100/160000] lr: 9.613e-06, eta: 5:20:16, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1774, decode.acc_seg: 73.9200, aux.loss_ce: 0.0800, aux.acc_seg: 73.2606, loss: 0.2574 +2022-02-28 03:11:00,258 - mmseg - INFO - Iter [83150/160000] lr: 9.606e-06, eta: 5:20:03, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1847, decode.acc_seg: 74.6833, aux.loss_ce: 0.0822, aux.acc_seg: 74.0998, loss: 0.2668 +2022-02-28 03:11:12,406 - mmseg - INFO - Iter [83200/160000] lr: 9.600e-06, eta: 5:19:50, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1902, decode.acc_seg: 74.1611, aux.loss_ce: 0.0837, aux.acc_seg: 73.6030, loss: 0.2739 +2022-02-28 03:11:24,745 - mmseg - INFO - Iter [83250/160000] lr: 9.594e-06, eta: 5:19:38, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1889, decode.acc_seg: 75.8398, aux.loss_ce: 0.0838, aux.acc_seg: 75.3424, loss: 0.2727 +2022-02-28 03:11:36,959 - mmseg - INFO - Iter [83300/160000] lr: 9.588e-06, eta: 5:19:25, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1998, decode.acc_seg: 74.2173, aux.loss_ce: 0.0881, aux.acc_seg: 73.7411, loss: 0.2879 +2022-02-28 03:11:49,422 - mmseg - INFO - Iter [83350/160000] lr: 9.581e-06, eta: 5:19:12, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1903, decode.acc_seg: 73.8368, aux.loss_ce: 0.0839, aux.acc_seg: 73.2946, loss: 0.2742 +2022-02-28 03:12:04,022 - mmseg - INFO - Iter [83400/160000] lr: 9.575e-06, eta: 5:19:02, time: 0.292, data_time: 0.047, memory: 56778, decode.loss_ce: 0.1956, decode.acc_seg: 74.1568, aux.loss_ce: 0.0877, aux.acc_seg: 73.5184, loss: 0.2833 +2022-02-28 03:12:16,452 - mmseg - INFO - Iter [83450/160000] lr: 9.569e-06, eta: 5:18:49, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1824, decode.acc_seg: 74.6077, aux.loss_ce: 0.0812, aux.acc_seg: 74.0506, loss: 0.2636 +2022-02-28 03:12:28,831 - mmseg - INFO - Iter [83500/160000] lr: 9.563e-06, eta: 5:18:37, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1843, decode.acc_seg: 74.4221, aux.loss_ce: 0.0819, aux.acc_seg: 73.8777, loss: 0.2662 +2022-02-28 03:12:41,105 - mmseg - INFO - Iter [83550/160000] lr: 9.556e-06, eta: 5:18:24, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1868, decode.acc_seg: 75.7424, aux.loss_ce: 0.0832, aux.acc_seg: 75.1782, loss: 0.2700 +2022-02-28 03:12:53,444 - mmseg - INFO - Iter [83600/160000] lr: 9.550e-06, eta: 5:18:11, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2131, decode.acc_seg: 74.4413, aux.loss_ce: 0.0935, aux.acc_seg: 73.9253, loss: 0.3066 +2022-02-28 03:13:05,776 - mmseg - INFO - Iter [83650/160000] lr: 9.544e-06, eta: 5:17:59, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1955, decode.acc_seg: 73.9079, aux.loss_ce: 0.0865, aux.acc_seg: 73.3719, loss: 0.2821 +2022-02-28 03:13:18,088 - mmseg - INFO - Iter [83700/160000] lr: 9.538e-06, eta: 5:17:46, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1950, decode.acc_seg: 74.1510, aux.loss_ce: 0.0864, aux.acc_seg: 73.6410, loss: 0.2813 +2022-02-28 03:13:30,286 - mmseg - INFO - Iter [83750/160000] lr: 9.531e-06, eta: 5:17:33, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1834, decode.acc_seg: 73.8363, aux.loss_ce: 0.0817, aux.acc_seg: 73.3128, loss: 0.2651 +2022-02-28 03:13:42,523 - mmseg - INFO - Iter [83800/160000] lr: 9.525e-06, eta: 5:17:20, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1813, decode.acc_seg: 74.4372, aux.loss_ce: 0.0806, aux.acc_seg: 73.9009, loss: 0.2619 +2022-02-28 03:13:54,863 - mmseg - INFO - Iter [83850/160000] lr: 9.519e-06, eta: 5:17:08, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1883, decode.acc_seg: 76.3181, aux.loss_ce: 0.0837, aux.acc_seg: 75.7038, loss: 0.2720 +2022-02-28 03:14:07,305 - mmseg - INFO - Iter [83900/160000] lr: 9.513e-06, eta: 5:16:55, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1859, decode.acc_seg: 75.0431, aux.loss_ce: 0.0825, aux.acc_seg: 74.4801, loss: 0.2684 +2022-02-28 03:14:19,605 - mmseg - INFO - Iter [83950/160000] lr: 9.506e-06, eta: 5:16:43, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1814, decode.acc_seg: 75.0737, aux.loss_ce: 0.0809, aux.acc_seg: 74.5586, loss: 0.2624 +2022-02-28 03:14:31,873 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 03:14:31,874 - mmseg - INFO - Iter [84000/160000] lr: 9.500e-06, eta: 5:16:30, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1840, decode.acc_seg: 75.1231, aux.loss_ce: 0.0826, aux.acc_seg: 74.5194, loss: 0.2666 +2022-02-28 03:14:44,297 - mmseg - INFO - Iter [84050/160000] lr: 9.494e-06, eta: 5:16:17, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1777, decode.acc_seg: 72.9935, aux.loss_ce: 0.0805, aux.acc_seg: 72.3748, loss: 0.2582 +2022-02-28 03:14:56,649 - mmseg - INFO - Iter [84100/160000] lr: 9.488e-06, eta: 5:16:05, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1837, decode.acc_seg: 74.0474, aux.loss_ce: 0.0822, aux.acc_seg: 73.5423, loss: 0.2659 +2022-02-28 03:15:09,033 - mmseg - INFO - Iter [84150/160000] lr: 9.481e-06, eta: 5:15:52, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1828, decode.acc_seg: 74.7963, aux.loss_ce: 0.0819, aux.acc_seg: 74.2550, loss: 0.2647 +2022-02-28 03:15:21,227 - mmseg - INFO - Iter [84200/160000] lr: 9.475e-06, eta: 5:15:39, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1966, decode.acc_seg: 73.6619, aux.loss_ce: 0.0873, aux.acc_seg: 73.0541, loss: 0.2839 +2022-02-28 03:15:33,625 - mmseg - INFO - Iter [84250/160000] lr: 9.469e-06, eta: 5:15:27, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1791, decode.acc_seg: 74.3471, aux.loss_ce: 0.0803, aux.acc_seg: 73.7968, loss: 0.2594 +2022-02-28 03:15:45,932 - mmseg - INFO - Iter [84300/160000] lr: 9.463e-06, eta: 5:15:14, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1784, decode.acc_seg: 74.4871, aux.loss_ce: 0.0800, aux.acc_seg: 73.9089, loss: 0.2584 +2022-02-28 03:15:58,189 - mmseg - INFO - Iter [84350/160000] lr: 9.456e-06, eta: 5:15:01, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1855, decode.acc_seg: 76.1193, aux.loss_ce: 0.0828, aux.acc_seg: 75.5760, loss: 0.2684 +2022-02-28 03:16:10,453 - mmseg - INFO - Iter [84400/160000] lr: 9.450e-06, eta: 5:14:49, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1881, decode.acc_seg: 75.4949, aux.loss_ce: 0.0834, aux.acc_seg: 74.9746, loss: 0.2715 +2022-02-28 03:16:22,808 - mmseg - INFO - Iter [84450/160000] lr: 9.444e-06, eta: 5:14:36, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1792, decode.acc_seg: 74.6971, aux.loss_ce: 0.0800, aux.acc_seg: 74.1588, loss: 0.2592 +2022-02-28 03:16:35,019 - mmseg - INFO - Iter [84500/160000] lr: 9.438e-06, eta: 5:14:23, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1991, decode.acc_seg: 75.9395, aux.loss_ce: 0.0883, aux.acc_seg: 75.3419, loss: 0.2874 +2022-02-28 03:16:47,303 - mmseg - INFO - Iter [84550/160000] lr: 9.431e-06, eta: 5:14:11, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1892, decode.acc_seg: 74.9538, aux.loss_ce: 0.0846, aux.acc_seg: 74.4231, loss: 0.2738 +2022-02-28 03:16:59,489 - mmseg - INFO - Iter [84600/160000] lr: 9.425e-06, eta: 5:13:58, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1713, decode.acc_seg: 74.6171, aux.loss_ce: 0.0769, aux.acc_seg: 74.0678, loss: 0.2482 +2022-02-28 03:17:14,140 - mmseg - INFO - Iter [84650/160000] lr: 9.419e-06, eta: 5:13:47, time: 0.293, data_time: 0.051, memory: 56778, decode.loss_ce: 0.1904, decode.acc_seg: 75.5121, aux.loss_ce: 0.0836, aux.acc_seg: 75.0966, loss: 0.2739 +2022-02-28 03:17:26,280 - mmseg - INFO - Iter [84700/160000] lr: 9.413e-06, eta: 5:13:35, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1864, decode.acc_seg: 75.0726, aux.loss_ce: 0.0841, aux.acc_seg: 74.3370, loss: 0.2705 +2022-02-28 03:17:38,615 - mmseg - INFO - Iter [84750/160000] lr: 9.406e-06, eta: 5:13:22, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1894, decode.acc_seg: 73.9969, aux.loss_ce: 0.0843, aux.acc_seg: 73.4353, loss: 0.2737 +2022-02-28 03:17:50,966 - mmseg - INFO - Iter [84800/160000] lr: 9.400e-06, eta: 5:13:09, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1658, decode.acc_seg: 74.9147, aux.loss_ce: 0.0745, aux.acc_seg: 74.4012, loss: 0.2403 +2022-02-28 03:18:03,232 - mmseg - INFO - Iter [84850/160000] lr: 9.394e-06, eta: 5:12:57, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1700, decode.acc_seg: 72.9410, aux.loss_ce: 0.0747, aux.acc_seg: 72.4488, loss: 0.2447 +2022-02-28 03:18:15,455 - mmseg - INFO - Iter [84900/160000] lr: 9.388e-06, eta: 5:12:44, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1962, decode.acc_seg: 74.6395, aux.loss_ce: 0.0874, aux.acc_seg: 74.0407, loss: 0.2836 +2022-02-28 03:18:28,007 - mmseg - INFO - Iter [84950/160000] lr: 9.381e-06, eta: 5:12:31, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1847, decode.acc_seg: 73.1758, aux.loss_ce: 0.0826, aux.acc_seg: 72.5588, loss: 0.2673 +2022-02-28 03:18:40,223 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 03:18:40,223 - mmseg - INFO - Iter [85000/160000] lr: 9.375e-06, eta: 5:12:19, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1779, decode.acc_seg: 75.4796, aux.loss_ce: 0.0789, aux.acc_seg: 74.9846, loss: 0.2568 +2022-02-28 03:18:52,435 - mmseg - INFO - Iter [85050/160000] lr: 9.369e-06, eta: 5:12:06, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1683, decode.acc_seg: 74.0296, aux.loss_ce: 0.0759, aux.acc_seg: 73.4305, loss: 0.2442 +2022-02-28 03:19:04,822 - mmseg - INFO - Iter [85100/160000] lr: 9.363e-06, eta: 5:11:53, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1742, decode.acc_seg: 75.2870, aux.loss_ce: 0.0788, aux.acc_seg: 74.6909, loss: 0.2529 +2022-02-28 03:19:17,066 - mmseg - INFO - Iter [85150/160000] lr: 9.356e-06, eta: 5:11:41, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1815, decode.acc_seg: 74.5857, aux.loss_ce: 0.0818, aux.acc_seg: 74.0052, loss: 0.2633 +2022-02-28 03:19:29,227 - mmseg - INFO - Iter [85200/160000] lr: 9.350e-06, eta: 5:11:28, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1807, decode.acc_seg: 75.0457, aux.loss_ce: 0.0807, aux.acc_seg: 74.5099, loss: 0.2614 +2022-02-28 03:19:41,518 - mmseg - INFO - Iter [85250/160000] lr: 9.344e-06, eta: 5:11:15, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1861, decode.acc_seg: 74.5810, aux.loss_ce: 0.0831, aux.acc_seg: 73.9021, loss: 0.2691 +2022-02-28 03:19:53,777 - mmseg - INFO - Iter [85300/160000] lr: 9.338e-06, eta: 5:11:02, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1811, decode.acc_seg: 75.9983, aux.loss_ce: 0.0806, aux.acc_seg: 75.4233, loss: 0.2618 +2022-02-28 03:20:05,949 - mmseg - INFO - Iter [85350/160000] lr: 9.331e-06, eta: 5:10:50, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1748, decode.acc_seg: 75.2899, aux.loss_ce: 0.0781, aux.acc_seg: 74.7585, loss: 0.2529 +2022-02-28 03:20:18,250 - mmseg - INFO - Iter [85400/160000] lr: 9.325e-06, eta: 5:10:37, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1696, decode.acc_seg: 74.5866, aux.loss_ce: 0.0764, aux.acc_seg: 74.0078, loss: 0.2460 +2022-02-28 03:20:30,675 - mmseg - INFO - Iter [85450/160000] lr: 9.319e-06, eta: 5:10:25, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1735, decode.acc_seg: 75.8247, aux.loss_ce: 0.0774, aux.acc_seg: 75.3198, loss: 0.2509 +2022-02-28 03:20:42,888 - mmseg - INFO - Iter [85500/160000] lr: 9.313e-06, eta: 5:10:12, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1856, decode.acc_seg: 74.3817, aux.loss_ce: 0.0828, aux.acc_seg: 73.7846, loss: 0.2684 +2022-02-28 03:20:55,365 - mmseg - INFO - Iter [85550/160000] lr: 9.306e-06, eta: 5:09:59, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1872, decode.acc_seg: 75.6417, aux.loss_ce: 0.0842, aux.acc_seg: 75.0308, loss: 0.2715 +2022-02-28 03:21:07,839 - mmseg - INFO - Iter [85600/160000] lr: 9.300e-06, eta: 5:09:47, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1838, decode.acc_seg: 74.4839, aux.loss_ce: 0.0830, aux.acc_seg: 73.9106, loss: 0.2668 +2022-02-28 03:21:20,033 - mmseg - INFO - Iter [85650/160000] lr: 9.294e-06, eta: 5:09:34, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1837, decode.acc_seg: 74.6259, aux.loss_ce: 0.0821, aux.acc_seg: 74.0439, loss: 0.2658 +2022-02-28 03:21:32,309 - mmseg - INFO - Iter [85700/160000] lr: 9.288e-06, eta: 5:09:21, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1798, decode.acc_seg: 73.7574, aux.loss_ce: 0.0808, aux.acc_seg: 73.1714, loss: 0.2606 +2022-02-28 03:21:44,592 - mmseg - INFO - Iter [85750/160000] lr: 9.281e-06, eta: 5:09:09, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1817, decode.acc_seg: 75.1719, aux.loss_ce: 0.0804, aux.acc_seg: 74.6814, loss: 0.2621 +2022-02-28 03:21:56,817 - mmseg - INFO - Iter [85800/160000] lr: 9.275e-06, eta: 5:08:56, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1901, decode.acc_seg: 74.0567, aux.loss_ce: 0.0845, aux.acc_seg: 73.5267, loss: 0.2746 +2022-02-28 03:22:09,269 - mmseg - INFO - Iter [85850/160000] lr: 9.269e-06, eta: 5:08:43, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2109, decode.acc_seg: 74.5866, aux.loss_ce: 0.0948, aux.acc_seg: 73.9414, loss: 0.3057 +2022-02-28 03:22:24,282 - mmseg - INFO - Iter [85900/160000] lr: 9.263e-06, eta: 5:08:33, time: 0.300, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1882, decode.acc_seg: 75.8888, aux.loss_ce: 0.0834, aux.acc_seg: 75.3264, loss: 0.2717 +2022-02-28 03:22:36,493 - mmseg - INFO - Iter [85950/160000] lr: 9.256e-06, eta: 5:08:20, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1811, decode.acc_seg: 74.4010, aux.loss_ce: 0.0805, aux.acc_seg: 73.7703, loss: 0.2617 +2022-02-28 03:22:48,814 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 03:22:48,814 - mmseg - INFO - Iter [86000/160000] lr: 9.250e-06, eta: 5:08:08, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1689, decode.acc_seg: 73.7747, aux.loss_ce: 0.0773, aux.acc_seg: 73.1038, loss: 0.2462 +2022-02-28 03:23:00,997 - mmseg - INFO - Iter [86050/160000] lr: 9.244e-06, eta: 5:07:55, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1878, decode.acc_seg: 73.2284, aux.loss_ce: 0.0834, aux.acc_seg: 72.7083, loss: 0.2712 +2022-02-28 03:23:13,454 - mmseg - INFO - Iter [86100/160000] lr: 9.238e-06, eta: 5:07:42, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1940, decode.acc_seg: 73.5113, aux.loss_ce: 0.0859, aux.acc_seg: 72.9300, loss: 0.2799 +2022-02-28 03:23:25,864 - mmseg - INFO - Iter [86150/160000] lr: 9.231e-06, eta: 5:07:30, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1778, decode.acc_seg: 74.7297, aux.loss_ce: 0.0805, aux.acc_seg: 74.1596, loss: 0.2582 +2022-02-28 03:23:38,583 - mmseg - INFO - Iter [86200/160000] lr: 9.225e-06, eta: 5:07:18, time: 0.254, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1990, decode.acc_seg: 74.4885, aux.loss_ce: 0.0884, aux.acc_seg: 73.9203, loss: 0.2873 +2022-02-28 03:23:51,000 - mmseg - INFO - Iter [86250/160000] lr: 9.219e-06, eta: 5:07:05, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1937, decode.acc_seg: 73.8930, aux.loss_ce: 0.0863, aux.acc_seg: 73.3493, loss: 0.2800 +2022-02-28 03:24:03,181 - mmseg - INFO - Iter [86300/160000] lr: 9.213e-06, eta: 5:06:52, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1901, decode.acc_seg: 73.0634, aux.loss_ce: 0.0847, aux.acc_seg: 72.5570, loss: 0.2748 +2022-02-28 03:24:15,403 - mmseg - INFO - Iter [86350/160000] lr: 9.206e-06, eta: 5:06:40, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1731, decode.acc_seg: 74.6655, aux.loss_ce: 0.0771, aux.acc_seg: 74.1410, loss: 0.2502 +2022-02-28 03:24:27,624 - mmseg - INFO - Iter [86400/160000] lr: 9.200e-06, eta: 5:06:27, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1961, decode.acc_seg: 75.0217, aux.loss_ce: 0.0887, aux.acc_seg: 74.4393, loss: 0.2848 +2022-02-28 03:24:39,940 - mmseg - INFO - Iter [86450/160000] lr: 9.194e-06, eta: 5:06:14, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1858, decode.acc_seg: 74.7905, aux.loss_ce: 0.0827, aux.acc_seg: 74.2352, loss: 0.2685 +2022-02-28 03:24:52,134 - mmseg - INFO - Iter [86500/160000] lr: 9.188e-06, eta: 5:06:01, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1826, decode.acc_seg: 74.9198, aux.loss_ce: 0.0815, aux.acc_seg: 74.3561, loss: 0.2640 +2022-02-28 03:25:04,358 - mmseg - INFO - Iter [86550/160000] lr: 9.181e-06, eta: 5:05:49, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1853, decode.acc_seg: 74.8390, aux.loss_ce: 0.0831, aux.acc_seg: 74.2071, loss: 0.2684 +2022-02-28 03:25:16,601 - mmseg - INFO - Iter [86600/160000] lr: 9.175e-06, eta: 5:05:36, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1856, decode.acc_seg: 74.1531, aux.loss_ce: 0.0841, aux.acc_seg: 73.4834, loss: 0.2697 +2022-02-28 03:25:28,988 - mmseg - INFO - Iter [86650/160000] lr: 9.169e-06, eta: 5:05:23, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1873, decode.acc_seg: 74.8819, aux.loss_ce: 0.0842, aux.acc_seg: 74.1187, loss: 0.2715 +2022-02-28 03:25:41,283 - mmseg - INFO - Iter [86700/160000] lr: 9.163e-06, eta: 5:05:11, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1845, decode.acc_seg: 74.1348, aux.loss_ce: 0.0835, aux.acc_seg: 73.4977, loss: 0.2680 +2022-02-28 03:25:53,532 - mmseg - INFO - Iter [86750/160000] lr: 9.156e-06, eta: 5:04:58, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1939, decode.acc_seg: 75.6352, aux.loss_ce: 0.0857, aux.acc_seg: 75.0663, loss: 0.2796 +2022-02-28 03:26:05,863 - mmseg - INFO - Iter [86800/160000] lr: 9.150e-06, eta: 5:04:45, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1767, decode.acc_seg: 75.1525, aux.loss_ce: 0.0787, aux.acc_seg: 74.5397, loss: 0.2554 +2022-02-28 03:26:18,060 - mmseg - INFO - Iter [86850/160000] lr: 9.144e-06, eta: 5:04:33, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1748, decode.acc_seg: 75.2875, aux.loss_ce: 0.0781, aux.acc_seg: 74.7483, loss: 0.2529 +2022-02-28 03:26:30,237 - mmseg - INFO - Iter [86900/160000] lr: 9.138e-06, eta: 5:04:20, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1865, decode.acc_seg: 74.4046, aux.loss_ce: 0.0829, aux.acc_seg: 73.8785, loss: 0.2694 +2022-02-28 03:26:42,476 - mmseg - INFO - Iter [86950/160000] lr: 9.131e-06, eta: 5:04:07, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1812, decode.acc_seg: 76.4679, aux.loss_ce: 0.0821, aux.acc_seg: 75.9181, loss: 0.2632 +2022-02-28 03:26:54,743 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 03:26:54,743 - mmseg - INFO - Iter [87000/160000] lr: 9.125e-06, eta: 5:03:55, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1785, decode.acc_seg: 76.0529, aux.loss_ce: 0.0807, aux.acc_seg: 75.2802, loss: 0.2591 +2022-02-28 03:27:07,031 - mmseg - INFO - Iter [87050/160000] lr: 9.119e-06, eta: 5:03:42, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1784, decode.acc_seg: 76.3473, aux.loss_ce: 0.0801, aux.acc_seg: 75.8153, loss: 0.2586 +2022-02-28 03:27:19,303 - mmseg - INFO - Iter [87100/160000] lr: 9.113e-06, eta: 5:03:29, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1778, decode.acc_seg: 74.2798, aux.loss_ce: 0.0796, aux.acc_seg: 73.6648, loss: 0.2574 +2022-02-28 03:27:33,932 - mmseg - INFO - Iter [87150/160000] lr: 9.106e-06, eta: 5:03:19, time: 0.293, data_time: 0.048, memory: 56778, decode.loss_ce: 0.1676, decode.acc_seg: 74.5401, aux.loss_ce: 0.0767, aux.acc_seg: 73.8656, loss: 0.2444 +2022-02-28 03:27:46,143 - mmseg - INFO - Iter [87200/160000] lr: 9.100e-06, eta: 5:03:06, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1807, decode.acc_seg: 74.2838, aux.loss_ce: 0.0821, aux.acc_seg: 73.5871, loss: 0.2628 +2022-02-28 03:27:58,500 - mmseg - INFO - Iter [87250/160000] lr: 9.094e-06, eta: 5:02:53, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1764, decode.acc_seg: 74.9429, aux.loss_ce: 0.0797, aux.acc_seg: 74.3315, loss: 0.2561 +2022-02-28 03:28:10,693 - mmseg - INFO - Iter [87300/160000] lr: 9.088e-06, eta: 5:02:40, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1748, decode.acc_seg: 75.8626, aux.loss_ce: 0.0787, aux.acc_seg: 75.3062, loss: 0.2535 +2022-02-28 03:28:22,953 - mmseg - INFO - Iter [87350/160000] lr: 9.081e-06, eta: 5:02:28, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1719, decode.acc_seg: 76.0704, aux.loss_ce: 0.0769, aux.acc_seg: 75.5698, loss: 0.2488 +2022-02-28 03:28:35,200 - mmseg - INFO - Iter [87400/160000] lr: 9.075e-06, eta: 5:02:15, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1619, decode.acc_seg: 75.3013, aux.loss_ce: 0.0737, aux.acc_seg: 74.6810, loss: 0.2356 +2022-02-28 03:28:47,679 - mmseg - INFO - Iter [87450/160000] lr: 9.069e-06, eta: 5:02:03, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1758, decode.acc_seg: 74.8166, aux.loss_ce: 0.0782, aux.acc_seg: 74.3027, loss: 0.2540 +2022-02-28 03:28:59,963 - mmseg - INFO - Iter [87500/160000] lr: 9.063e-06, eta: 5:01:50, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1775, decode.acc_seg: 76.6397, aux.loss_ce: 0.0790, aux.acc_seg: 76.0721, loss: 0.2565 +2022-02-28 03:29:12,200 - mmseg - INFO - Iter [87550/160000] lr: 9.056e-06, eta: 5:01:37, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1705, decode.acc_seg: 75.2189, aux.loss_ce: 0.0762, aux.acc_seg: 74.7144, loss: 0.2466 +2022-02-28 03:29:24,399 - mmseg - INFO - Iter [87600/160000] lr: 9.050e-06, eta: 5:01:25, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1767, decode.acc_seg: 74.2134, aux.loss_ce: 0.0801, aux.acc_seg: 73.5857, loss: 0.2568 +2022-02-28 03:29:36,750 - mmseg - INFO - Iter [87650/160000] lr: 9.044e-06, eta: 5:01:12, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1988, decode.acc_seg: 74.9995, aux.loss_ce: 0.0867, aux.acc_seg: 74.4645, loss: 0.2855 +2022-02-28 03:29:49,001 - mmseg - INFO - Iter [87700/160000] lr: 9.038e-06, eta: 5:00:59, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1819, decode.acc_seg: 75.8228, aux.loss_ce: 0.0816, aux.acc_seg: 75.2288, loss: 0.2636 +2022-02-28 03:30:01,333 - mmseg - INFO - Iter [87750/160000] lr: 9.031e-06, eta: 5:00:47, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1783, decode.acc_seg: 75.1070, aux.loss_ce: 0.0801, aux.acc_seg: 74.5135, loss: 0.2584 +2022-02-28 03:30:13,705 - mmseg - INFO - Iter [87800/160000] lr: 9.025e-06, eta: 5:00:34, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1883, decode.acc_seg: 76.8238, aux.loss_ce: 0.0833, aux.acc_seg: 76.3260, loss: 0.2716 +2022-02-28 03:30:26,081 - mmseg - INFO - Iter [87850/160000] lr: 9.019e-06, eta: 5:00:21, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1767, decode.acc_seg: 75.3175, aux.loss_ce: 0.0786, aux.acc_seg: 74.7699, loss: 0.2553 +2022-02-28 03:30:38,656 - mmseg - INFO - Iter [87900/160000] lr: 9.013e-06, eta: 5:00:09, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1777, decode.acc_seg: 73.9775, aux.loss_ce: 0.0805, aux.acc_seg: 73.2966, loss: 0.2583 +2022-02-28 03:30:51,008 - mmseg - INFO - Iter [87950/160000] lr: 9.006e-06, eta: 4:59:56, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1788, decode.acc_seg: 74.8270, aux.loss_ce: 0.0797, aux.acc_seg: 74.2584, loss: 0.2585 +2022-02-28 03:31:03,324 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 03:31:03,325 - mmseg - INFO - Iter [88000/160000] lr: 9.000e-06, eta: 4:59:44, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1758, decode.acc_seg: 74.4161, aux.loss_ce: 0.0791, aux.acc_seg: 73.8127, loss: 0.2548 +2022-02-28 03:31:15,552 - mmseg - INFO - Iter [88050/160000] lr: 8.994e-06, eta: 4:59:31, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1883, decode.acc_seg: 75.3152, aux.loss_ce: 0.0844, aux.acc_seg: 74.6836, loss: 0.2727 +2022-02-28 03:31:28,187 - mmseg - INFO - Iter [88100/160000] lr: 8.988e-06, eta: 4:59:19, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1837, decode.acc_seg: 73.9900, aux.loss_ce: 0.0831, aux.acc_seg: 73.4325, loss: 0.2667 +2022-02-28 03:31:40,401 - mmseg - INFO - Iter [88150/160000] lr: 8.981e-06, eta: 4:59:06, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1854, decode.acc_seg: 74.1293, aux.loss_ce: 0.0839, aux.acc_seg: 73.5292, loss: 0.2692 +2022-02-28 03:31:52,762 - mmseg - INFO - Iter [88200/160000] lr: 8.975e-06, eta: 4:58:53, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1801, decode.acc_seg: 74.8199, aux.loss_ce: 0.0807, aux.acc_seg: 74.2884, loss: 0.2607 +2022-02-28 03:32:05,128 - mmseg - INFO - Iter [88250/160000] lr: 8.969e-06, eta: 4:58:41, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1878, decode.acc_seg: 74.9172, aux.loss_ce: 0.0840, aux.acc_seg: 74.3620, loss: 0.2718 +2022-02-28 03:32:17,452 - mmseg - INFO - Iter [88300/160000] lr: 8.963e-06, eta: 4:58:28, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1799, decode.acc_seg: 74.9099, aux.loss_ce: 0.0799, aux.acc_seg: 74.3946, loss: 0.2598 +2022-02-28 03:32:29,663 - mmseg - INFO - Iter [88350/160000] lr: 8.956e-06, eta: 4:58:15, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1807, decode.acc_seg: 75.1052, aux.loss_ce: 0.0809, aux.acc_seg: 74.5655, loss: 0.2616 +2022-02-28 03:32:41,985 - mmseg - INFO - Iter [88400/160000] lr: 8.950e-06, eta: 4:58:03, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1741, decode.acc_seg: 73.9950, aux.loss_ce: 0.0772, aux.acc_seg: 73.4807, loss: 0.2512 +2022-02-28 03:32:56,475 - mmseg - INFO - Iter [88450/160000] lr: 8.944e-06, eta: 4:57:52, time: 0.290, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1609, decode.acc_seg: 75.2577, aux.loss_ce: 0.0728, aux.acc_seg: 74.6469, loss: 0.2337 +2022-02-28 03:33:08,729 - mmseg - INFO - Iter [88500/160000] lr: 8.938e-06, eta: 4:57:39, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1820, decode.acc_seg: 74.9074, aux.loss_ce: 0.0817, aux.acc_seg: 74.3160, loss: 0.2637 +2022-02-28 03:33:21,008 - mmseg - INFO - Iter [88550/160000] lr: 8.931e-06, eta: 4:57:27, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1823, decode.acc_seg: 74.4391, aux.loss_ce: 0.0823, aux.acc_seg: 73.8621, loss: 0.2646 +2022-02-28 03:33:33,235 - mmseg - INFO - Iter [88600/160000] lr: 8.925e-06, eta: 4:57:14, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1787, decode.acc_seg: 74.7802, aux.loss_ce: 0.0795, aux.acc_seg: 74.1613, loss: 0.2583 +2022-02-28 03:33:45,449 - mmseg - INFO - Iter [88650/160000] lr: 8.919e-06, eta: 4:57:01, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1752, decode.acc_seg: 75.0101, aux.loss_ce: 0.0790, aux.acc_seg: 74.4582, loss: 0.2541 +2022-02-28 03:33:57,666 - mmseg - INFO - Iter [88700/160000] lr: 8.913e-06, eta: 4:56:49, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1775, decode.acc_seg: 75.0341, aux.loss_ce: 0.0780, aux.acc_seg: 74.5752, loss: 0.2555 +2022-02-28 03:34:09,874 - mmseg - INFO - Iter [88750/160000] lr: 8.906e-06, eta: 4:56:36, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1773, decode.acc_seg: 74.2910, aux.loss_ce: 0.0802, aux.acc_seg: 73.6244, loss: 0.2575 +2022-02-28 03:34:22,031 - mmseg - INFO - Iter [88800/160000] lr: 8.900e-06, eta: 4:56:23, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1742, decode.acc_seg: 76.2546, aux.loss_ce: 0.0779, aux.acc_seg: 75.7796, loss: 0.2521 +2022-02-28 03:34:34,294 - mmseg - INFO - Iter [88850/160000] lr: 8.894e-06, eta: 4:56:10, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1832, decode.acc_seg: 74.9976, aux.loss_ce: 0.0816, aux.acc_seg: 74.4793, loss: 0.2647 +2022-02-28 03:34:46,584 - mmseg - INFO - Iter [88900/160000] lr: 8.888e-06, eta: 4:55:58, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1875, decode.acc_seg: 75.9300, aux.loss_ce: 0.0826, aux.acc_seg: 75.5086, loss: 0.2701 +2022-02-28 03:34:58,909 - mmseg - INFO - Iter [88950/160000] lr: 8.881e-06, eta: 4:55:45, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1684, decode.acc_seg: 74.1868, aux.loss_ce: 0.0750, aux.acc_seg: 73.7028, loss: 0.2435 +2022-02-28 03:35:11,140 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 03:35:11,140 - mmseg - INFO - Iter [89000/160000] lr: 8.875e-06, eta: 4:55:32, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1734, decode.acc_seg: 74.9789, aux.loss_ce: 0.0780, aux.acc_seg: 74.4431, loss: 0.2514 +2022-02-28 03:35:23,279 - mmseg - INFO - Iter [89050/160000] lr: 8.869e-06, eta: 4:55:20, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1973, decode.acc_seg: 74.7626, aux.loss_ce: 0.0883, aux.acc_seg: 74.1957, loss: 0.2857 +2022-02-28 03:35:35,618 - mmseg - INFO - Iter [89100/160000] lr: 8.863e-06, eta: 4:55:07, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1674, decode.acc_seg: 73.8954, aux.loss_ce: 0.0760, aux.acc_seg: 73.2646, loss: 0.2433 +2022-02-28 03:35:47,860 - mmseg - INFO - Iter [89150/160000] lr: 8.856e-06, eta: 4:54:54, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1843, decode.acc_seg: 73.7247, aux.loss_ce: 0.0819, aux.acc_seg: 73.1493, loss: 0.2662 +2022-02-28 03:36:00,174 - mmseg - INFO - Iter [89200/160000] lr: 8.850e-06, eta: 4:54:42, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1692, decode.acc_seg: 74.6409, aux.loss_ce: 0.0753, aux.acc_seg: 74.0610, loss: 0.2445 +2022-02-28 03:36:12,382 - mmseg - INFO - Iter [89250/160000] lr: 8.844e-06, eta: 4:54:29, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1882, decode.acc_seg: 75.9911, aux.loss_ce: 0.0846, aux.acc_seg: 75.3875, loss: 0.2728 +2022-02-28 03:36:24,719 - mmseg - INFO - Iter [89300/160000] lr: 8.838e-06, eta: 4:54:16, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1750, decode.acc_seg: 73.9637, aux.loss_ce: 0.0779, aux.acc_seg: 73.3983, loss: 0.2529 +2022-02-28 03:36:37,065 - mmseg - INFO - Iter [89350/160000] lr: 8.831e-06, eta: 4:54:04, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1738, decode.acc_seg: 75.8718, aux.loss_ce: 0.0777, aux.acc_seg: 75.2998, loss: 0.2515 +2022-02-28 03:36:49,300 - mmseg - INFO - Iter [89400/160000] lr: 8.825e-06, eta: 4:53:51, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1814, decode.acc_seg: 73.7946, aux.loss_ce: 0.0816, aux.acc_seg: 73.2185, loss: 0.2630 +2022-02-28 03:37:01,686 - mmseg - INFO - Iter [89450/160000] lr: 8.819e-06, eta: 4:53:39, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1855, decode.acc_seg: 74.0302, aux.loss_ce: 0.0835, aux.acc_seg: 73.5067, loss: 0.2690 +2022-02-28 03:37:13,948 - mmseg - INFO - Iter [89500/160000] lr: 8.813e-06, eta: 4:53:26, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1889, decode.acc_seg: 73.8920, aux.loss_ce: 0.0832, aux.acc_seg: 73.3073, loss: 0.2721 +2022-02-28 03:37:26,258 - mmseg - INFO - Iter [89550/160000] lr: 8.806e-06, eta: 4:53:13, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1876, decode.acc_seg: 74.7219, aux.loss_ce: 0.0846, aux.acc_seg: 74.1369, loss: 0.2723 +2022-02-28 03:37:38,508 - mmseg - INFO - Iter [89600/160000] lr: 8.800e-06, eta: 4:53:01, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1793, decode.acc_seg: 74.5008, aux.loss_ce: 0.0798, aux.acc_seg: 73.9356, loss: 0.2591 +2022-02-28 03:37:50,864 - mmseg - INFO - Iter [89650/160000] lr: 8.794e-06, eta: 4:52:48, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1786, decode.acc_seg: 74.5326, aux.loss_ce: 0.0801, aux.acc_seg: 73.9306, loss: 0.2587 +2022-02-28 03:38:05,313 - mmseg - INFO - Iter [89700/160000] lr: 8.788e-06, eta: 4:52:37, time: 0.289, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1874, decode.acc_seg: 74.6999, aux.loss_ce: 0.0845, aux.acc_seg: 74.1832, loss: 0.2719 +2022-02-28 03:38:17,655 - mmseg - INFO - Iter [89750/160000] lr: 8.781e-06, eta: 4:52:24, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1667, decode.acc_seg: 74.1864, aux.loss_ce: 0.0755, aux.acc_seg: 73.5375, loss: 0.2422 +2022-02-28 03:38:29,864 - mmseg - INFO - Iter [89800/160000] lr: 8.775e-06, eta: 4:52:12, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1852, decode.acc_seg: 74.9945, aux.loss_ce: 0.0816, aux.acc_seg: 74.4760, loss: 0.2668 +2022-02-28 03:38:42,079 - mmseg - INFO - Iter [89850/160000] lr: 8.769e-06, eta: 4:51:59, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1669, decode.acc_seg: 75.0439, aux.loss_ce: 0.0750, aux.acc_seg: 74.4614, loss: 0.2419 +2022-02-28 03:38:54,256 - mmseg - INFO - Iter [89900/160000] lr: 8.763e-06, eta: 4:51:46, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1747, decode.acc_seg: 72.6403, aux.loss_ce: 0.0793, aux.acc_seg: 72.0013, loss: 0.2540 +2022-02-28 03:39:06,494 - mmseg - INFO - Iter [89950/160000] lr: 8.756e-06, eta: 4:51:34, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1887, decode.acc_seg: 76.1720, aux.loss_ce: 0.0845, aux.acc_seg: 75.5308, loss: 0.2732 +2022-02-28 03:39:18,821 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 03:39:18,821 - mmseg - INFO - Iter [90000/160000] lr: 8.750e-06, eta: 4:51:21, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1634, decode.acc_seg: 74.1401, aux.loss_ce: 0.0743, aux.acc_seg: 73.5610, loss: 0.2377 +2022-02-28 03:39:31,235 - mmseg - INFO - Iter [90050/160000] lr: 8.744e-06, eta: 4:51:09, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1680, decode.acc_seg: 75.6475, aux.loss_ce: 0.0756, aux.acc_seg: 75.0764, loss: 0.2436 +2022-02-28 03:39:43,494 - mmseg - INFO - Iter [90100/160000] lr: 8.738e-06, eta: 4:50:56, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1807, decode.acc_seg: 75.9542, aux.loss_ce: 0.0811, aux.acc_seg: 75.3331, loss: 0.2618 +2022-02-28 03:39:55,625 - mmseg - INFO - Iter [90150/160000] lr: 8.731e-06, eta: 4:50:43, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1792, decode.acc_seg: 76.3702, aux.loss_ce: 0.0791, aux.acc_seg: 75.8376, loss: 0.2584 +2022-02-28 03:40:07,923 - mmseg - INFO - Iter [90200/160000] lr: 8.725e-06, eta: 4:50:30, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1725, decode.acc_seg: 73.8292, aux.loss_ce: 0.0783, aux.acc_seg: 73.2376, loss: 0.2508 +2022-02-28 03:40:20,221 - mmseg - INFO - Iter [90250/160000] lr: 8.719e-06, eta: 4:50:18, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.2019, decode.acc_seg: 75.1413, aux.loss_ce: 0.0898, aux.acc_seg: 74.4788, loss: 0.2917 +2022-02-28 03:40:32,584 - mmseg - INFO - Iter [90300/160000] lr: 8.713e-06, eta: 4:50:05, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1749, decode.acc_seg: 72.9444, aux.loss_ce: 0.0800, aux.acc_seg: 72.2149, loss: 0.2549 +2022-02-28 03:40:45,030 - mmseg - INFO - Iter [90350/160000] lr: 8.706e-06, eta: 4:49:53, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1822, decode.acc_seg: 75.5704, aux.loss_ce: 0.0811, aux.acc_seg: 74.9553, loss: 0.2633 +2022-02-28 03:40:57,264 - mmseg - INFO - Iter [90400/160000] lr: 8.700e-06, eta: 4:49:40, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1669, decode.acc_seg: 75.0930, aux.loss_ce: 0.0752, aux.acc_seg: 74.4892, loss: 0.2421 +2022-02-28 03:41:09,452 - mmseg - INFO - Iter [90450/160000] lr: 8.694e-06, eta: 4:49:27, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1780, decode.acc_seg: 76.1726, aux.loss_ce: 0.0793, aux.acc_seg: 75.6390, loss: 0.2572 +2022-02-28 03:41:21,678 - mmseg - INFO - Iter [90500/160000] lr: 8.688e-06, eta: 4:49:15, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1823, decode.acc_seg: 75.1732, aux.loss_ce: 0.0821, aux.acc_seg: 74.5371, loss: 0.2644 +2022-02-28 03:41:33,955 - mmseg - INFO - Iter [90550/160000] lr: 8.681e-06, eta: 4:49:02, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1752, decode.acc_seg: 73.9343, aux.loss_ce: 0.0786, aux.acc_seg: 73.3249, loss: 0.2537 +2022-02-28 03:41:46,436 - mmseg - INFO - Iter [90600/160000] lr: 8.675e-06, eta: 4:48:50, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1807, decode.acc_seg: 75.4224, aux.loss_ce: 0.0813, aux.acc_seg: 74.8676, loss: 0.2621 +2022-02-28 03:41:58,793 - mmseg - INFO - Iter [90650/160000] lr: 8.669e-06, eta: 4:48:37, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1749, decode.acc_seg: 75.4224, aux.loss_ce: 0.0779, aux.acc_seg: 74.8498, loss: 0.2527 +2022-02-28 03:42:11,032 - mmseg - INFO - Iter [90700/160000] lr: 8.663e-06, eta: 4:48:24, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1730, decode.acc_seg: 73.9563, aux.loss_ce: 0.0782, aux.acc_seg: 73.3793, loss: 0.2513 +2022-02-28 03:42:23,361 - mmseg - INFO - Iter [90750/160000] lr: 8.656e-06, eta: 4:48:12, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1654, decode.acc_seg: 75.1699, aux.loss_ce: 0.0744, aux.acc_seg: 74.6224, loss: 0.2398 +2022-02-28 03:42:35,879 - mmseg - INFO - Iter [90800/160000] lr: 8.650e-06, eta: 4:47:59, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1814, decode.acc_seg: 74.7411, aux.loss_ce: 0.0822, aux.acc_seg: 74.0512, loss: 0.2637 +2022-02-28 03:42:48,188 - mmseg - INFO - Iter [90850/160000] lr: 8.644e-06, eta: 4:47:47, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1685, decode.acc_seg: 74.7375, aux.loss_ce: 0.0760, aux.acc_seg: 74.1415, loss: 0.2444 +2022-02-28 03:43:00,475 - mmseg - INFO - Iter [90900/160000] lr: 8.638e-06, eta: 4:47:34, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1783, decode.acc_seg: 74.1285, aux.loss_ce: 0.0803, aux.acc_seg: 73.4424, loss: 0.2585 +2022-02-28 03:43:14,932 - mmseg - INFO - Iter [90950/160000] lr: 8.631e-06, eta: 4:47:23, time: 0.289, data_time: 0.046, memory: 56778, decode.loss_ce: 0.1738, decode.acc_seg: 74.3903, aux.loss_ce: 0.0783, aux.acc_seg: 73.7996, loss: 0.2521 +2022-02-28 03:43:27,368 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 03:43:27,368 - mmseg - INFO - Iter [91000/160000] lr: 8.625e-06, eta: 4:47:10, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1805, decode.acc_seg: 74.9506, aux.loss_ce: 0.0814, aux.acc_seg: 74.2812, loss: 0.2619 +2022-02-28 03:43:39,617 - mmseg - INFO - Iter [91050/160000] lr: 8.619e-06, eta: 4:46:58, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1680, decode.acc_seg: 75.1378, aux.loss_ce: 0.0754, aux.acc_seg: 74.5179, loss: 0.2433 +2022-02-28 03:43:51,867 - mmseg - INFO - Iter [91100/160000] lr: 8.613e-06, eta: 4:46:45, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1794, decode.acc_seg: 74.6341, aux.loss_ce: 0.0806, aux.acc_seg: 74.0497, loss: 0.2600 +2022-02-28 03:44:04,286 - mmseg - INFO - Iter [91150/160000] lr: 8.606e-06, eta: 4:46:33, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1720, decode.acc_seg: 74.4826, aux.loss_ce: 0.0773, aux.acc_seg: 73.8405, loss: 0.2493 +2022-02-28 03:44:16,657 - mmseg - INFO - Iter [91200/160000] lr: 8.600e-06, eta: 4:46:20, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1747, decode.acc_seg: 75.5627, aux.loss_ce: 0.0791, aux.acc_seg: 74.9646, loss: 0.2539 +2022-02-28 03:44:28,968 - mmseg - INFO - Iter [91250/160000] lr: 8.594e-06, eta: 4:46:07, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1701, decode.acc_seg: 74.1336, aux.loss_ce: 0.0778, aux.acc_seg: 73.5657, loss: 0.2479 +2022-02-28 03:44:41,145 - mmseg - INFO - Iter [91300/160000] lr: 8.588e-06, eta: 4:45:55, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1948, decode.acc_seg: 75.4743, aux.loss_ce: 0.0872, aux.acc_seg: 74.8192, loss: 0.2820 +2022-02-28 03:44:53,473 - mmseg - INFO - Iter [91350/160000] lr: 8.581e-06, eta: 4:45:42, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1844, decode.acc_seg: 75.2985, aux.loss_ce: 0.0838, aux.acc_seg: 74.5480, loss: 0.2683 +2022-02-28 03:45:05,786 - mmseg - INFO - Iter [91400/160000] lr: 8.575e-06, eta: 4:45:29, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1807, decode.acc_seg: 75.4990, aux.loss_ce: 0.0808, aux.acc_seg: 75.0070, loss: 0.2616 +2022-02-28 03:45:17,946 - mmseg - INFO - Iter [91450/160000] lr: 8.569e-06, eta: 4:45:17, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1664, decode.acc_seg: 75.0234, aux.loss_ce: 0.0741, aux.acc_seg: 74.5215, loss: 0.2405 +2022-02-28 03:45:30,196 - mmseg - INFO - Iter [91500/160000] lr: 8.563e-06, eta: 4:45:04, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1740, decode.acc_seg: 76.3136, aux.loss_ce: 0.0791, aux.acc_seg: 75.7002, loss: 0.2531 +2022-02-28 03:45:42,362 - mmseg - INFO - Iter [91550/160000] lr: 8.556e-06, eta: 4:44:51, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1874, decode.acc_seg: 73.5159, aux.loss_ce: 0.0841, aux.acc_seg: 72.8584, loss: 0.2716 +2022-02-28 03:45:54,588 - mmseg - INFO - Iter [91600/160000] lr: 8.550e-06, eta: 4:44:39, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1693, decode.acc_seg: 73.8463, aux.loss_ce: 0.0767, aux.acc_seg: 73.2020, loss: 0.2459 +2022-02-28 03:46:06,910 - mmseg - INFO - Iter [91650/160000] lr: 8.544e-06, eta: 4:44:26, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1836, decode.acc_seg: 74.4374, aux.loss_ce: 0.0823, aux.acc_seg: 73.7955, loss: 0.2658 +2022-02-28 03:46:19,187 - mmseg - INFO - Iter [91700/160000] lr: 8.538e-06, eta: 4:44:13, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1715, decode.acc_seg: 74.9449, aux.loss_ce: 0.0767, aux.acc_seg: 74.3587, loss: 0.2482 +2022-02-28 03:46:31,438 - mmseg - INFO - Iter [91750/160000] lr: 8.531e-06, eta: 4:44:01, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1814, decode.acc_seg: 75.9471, aux.loss_ce: 0.0819, aux.acc_seg: 75.3278, loss: 0.2633 +2022-02-28 03:46:43,653 - mmseg - INFO - Iter [91800/160000] lr: 8.525e-06, eta: 4:43:48, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1653, decode.acc_seg: 74.6546, aux.loss_ce: 0.0735, aux.acc_seg: 74.1746, loss: 0.2388 +2022-02-28 03:46:55,989 - mmseg - INFO - Iter [91850/160000] lr: 8.519e-06, eta: 4:43:35, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1659, decode.acc_seg: 75.2750, aux.loss_ce: 0.0742, aux.acc_seg: 74.8161, loss: 0.2401 +2022-02-28 03:47:08,218 - mmseg - INFO - Iter [91900/160000] lr: 8.513e-06, eta: 4:43:23, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1746, decode.acc_seg: 76.1743, aux.loss_ce: 0.0801, aux.acc_seg: 75.4649, loss: 0.2547 +2022-02-28 03:47:20,637 - mmseg - INFO - Iter [91950/160000] lr: 8.506e-06, eta: 4:43:10, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1798, decode.acc_seg: 74.1782, aux.loss_ce: 0.0802, aux.acc_seg: 73.5982, loss: 0.2600 +2022-02-28 03:47:33,164 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 03:47:33,164 - mmseg - INFO - Iter [92000/160000] lr: 8.500e-06, eta: 4:42:58, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1871, decode.acc_seg: 75.0038, aux.loss_ce: 0.0851, aux.acc_seg: 74.4055, loss: 0.2722 +2022-02-28 03:47:45,421 - mmseg - INFO - Iter [92050/160000] lr: 8.494e-06, eta: 4:42:45, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1728, decode.acc_seg: 74.7026, aux.loss_ce: 0.0765, aux.acc_seg: 74.3225, loss: 0.2494 +2022-02-28 03:47:57,703 - mmseg - INFO - Iter [92100/160000] lr: 8.488e-06, eta: 4:42:33, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1805, decode.acc_seg: 75.5959, aux.loss_ce: 0.0811, aux.acc_seg: 74.9924, loss: 0.2616 +2022-02-28 03:48:10,030 - mmseg - INFO - Iter [92150/160000] lr: 8.481e-06, eta: 4:42:20, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1703, decode.acc_seg: 76.1581, aux.loss_ce: 0.0763, aux.acc_seg: 75.5882, loss: 0.2467 +2022-02-28 03:48:24,596 - mmseg - INFO - Iter [92200/160000] lr: 8.475e-06, eta: 4:42:09, time: 0.291, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1811, decode.acc_seg: 75.2247, aux.loss_ce: 0.0808, aux.acc_seg: 74.6913, loss: 0.2619 +2022-02-28 03:48:36,838 - mmseg - INFO - Iter [92250/160000] lr: 8.469e-06, eta: 4:41:56, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1780, decode.acc_seg: 74.4958, aux.loss_ce: 0.0797, aux.acc_seg: 73.9774, loss: 0.2576 +2022-02-28 03:48:49,114 - mmseg - INFO - Iter [92300/160000] lr: 8.463e-06, eta: 4:41:44, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1698, decode.acc_seg: 74.2303, aux.loss_ce: 0.0757, aux.acc_seg: 73.7168, loss: 0.2455 +2022-02-28 03:49:01,372 - mmseg - INFO - Iter [92350/160000] lr: 8.456e-06, eta: 4:41:31, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1697, decode.acc_seg: 76.4074, aux.loss_ce: 0.0761, aux.acc_seg: 75.8564, loss: 0.2459 +2022-02-28 03:49:13,597 - mmseg - INFO - Iter [92400/160000] lr: 8.450e-06, eta: 4:41:18, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1732, decode.acc_seg: 75.0798, aux.loss_ce: 0.0786, aux.acc_seg: 74.4635, loss: 0.2518 +2022-02-28 03:49:25,832 - mmseg - INFO - Iter [92450/160000] lr: 8.444e-06, eta: 4:41:06, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1644, decode.acc_seg: 75.4039, aux.loss_ce: 0.0744, aux.acc_seg: 74.7497, loss: 0.2388 +2022-02-28 03:49:38,135 - mmseg - INFO - Iter [92500/160000] lr: 8.438e-06, eta: 4:40:53, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1725, decode.acc_seg: 74.2218, aux.loss_ce: 0.0771, aux.acc_seg: 73.6112, loss: 0.2496 +2022-02-28 03:49:50,418 - mmseg - INFO - Iter [92550/160000] lr: 8.431e-06, eta: 4:40:40, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1709, decode.acc_seg: 75.6993, aux.loss_ce: 0.0767, aux.acc_seg: 75.1784, loss: 0.2476 +2022-02-28 03:50:02,575 - mmseg - INFO - Iter [92600/160000] lr: 8.425e-06, eta: 4:40:28, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1809, decode.acc_seg: 75.3642, aux.loss_ce: 0.0809, aux.acc_seg: 74.7148, loss: 0.2618 +2022-02-28 03:50:14,838 - mmseg - INFO - Iter [92650/160000] lr: 8.419e-06, eta: 4:40:15, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1696, decode.acc_seg: 74.6710, aux.loss_ce: 0.0776, aux.acc_seg: 73.9336, loss: 0.2472 +2022-02-28 03:50:27,058 - mmseg - INFO - Iter [92700/160000] lr: 8.413e-06, eta: 4:40:02, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1779, decode.acc_seg: 75.0438, aux.loss_ce: 0.0796, aux.acc_seg: 74.4696, loss: 0.2575 +2022-02-28 03:50:39,675 - mmseg - INFO - Iter [92750/160000] lr: 8.406e-06, eta: 4:39:50, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1701, decode.acc_seg: 74.8121, aux.loss_ce: 0.0766, aux.acc_seg: 74.2137, loss: 0.2467 +2022-02-28 03:50:51,943 - mmseg - INFO - Iter [92800/160000] lr: 8.400e-06, eta: 4:39:37, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1784, decode.acc_seg: 75.0786, aux.loss_ce: 0.0799, aux.acc_seg: 74.4664, loss: 0.2583 +2022-02-28 03:51:04,192 - mmseg - INFO - Iter [92850/160000] lr: 8.394e-06, eta: 4:39:25, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1641, decode.acc_seg: 74.2073, aux.loss_ce: 0.0736, aux.acc_seg: 73.7263, loss: 0.2377 +2022-02-28 03:51:16,466 - mmseg - INFO - Iter [92900/160000] lr: 8.388e-06, eta: 4:39:12, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1715, decode.acc_seg: 75.2073, aux.loss_ce: 0.0765, aux.acc_seg: 74.6282, loss: 0.2481 +2022-02-28 03:51:28,709 - mmseg - INFO - Iter [92950/160000] lr: 8.381e-06, eta: 4:38:59, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1708, decode.acc_seg: 75.0194, aux.loss_ce: 0.0769, aux.acc_seg: 74.4254, loss: 0.2477 +2022-02-28 03:51:41,561 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 03:51:41,562 - mmseg - INFO - Iter [93000/160000] lr: 8.375e-06, eta: 4:38:47, time: 0.257, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1761, decode.acc_seg: 75.5061, aux.loss_ce: 0.0788, aux.acc_seg: 75.0033, loss: 0.2550 +2022-02-28 03:51:53,912 - mmseg - INFO - Iter [93050/160000] lr: 8.369e-06, eta: 4:38:35, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1669, decode.acc_seg: 75.7060, aux.loss_ce: 0.0745, aux.acc_seg: 75.1500, loss: 0.2414 +2022-02-28 03:52:06,063 - mmseg - INFO - Iter [93100/160000] lr: 8.363e-06, eta: 4:38:22, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1633, decode.acc_seg: 75.3586, aux.loss_ce: 0.0737, aux.acc_seg: 74.7894, loss: 0.2370 +2022-02-28 03:52:18,835 - mmseg - INFO - Iter [93150/160000] lr: 8.356e-06, eta: 4:38:10, time: 0.255, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1735, decode.acc_seg: 74.8406, aux.loss_ce: 0.0781, aux.acc_seg: 74.2532, loss: 0.2516 +2022-02-28 03:52:31,055 - mmseg - INFO - Iter [93200/160000] lr: 8.350e-06, eta: 4:37:57, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1723, decode.acc_seg: 75.2555, aux.loss_ce: 0.0777, aux.acc_seg: 74.6290, loss: 0.2500 +2022-02-28 03:52:43,312 - mmseg - INFO - Iter [93250/160000] lr: 8.344e-06, eta: 4:37:44, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1713, decode.acc_seg: 75.5121, aux.loss_ce: 0.0771, aux.acc_seg: 74.8781, loss: 0.2483 +2022-02-28 03:52:55,527 - mmseg - INFO - Iter [93300/160000] lr: 8.338e-06, eta: 4:37:32, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1738, decode.acc_seg: 75.6593, aux.loss_ce: 0.0773, aux.acc_seg: 75.0760, loss: 0.2511 +2022-02-28 03:53:07,799 - mmseg - INFO - Iter [93350/160000] lr: 8.331e-06, eta: 4:37:19, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1712, decode.acc_seg: 75.0044, aux.loss_ce: 0.0772, aux.acc_seg: 74.4114, loss: 0.2484 +2022-02-28 03:53:20,126 - mmseg - INFO - Iter [93400/160000] lr: 8.325e-06, eta: 4:37:06, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1763, decode.acc_seg: 73.9838, aux.loss_ce: 0.0800, aux.acc_seg: 73.3536, loss: 0.2563 +2022-02-28 03:53:32,359 - mmseg - INFO - Iter [93450/160000] lr: 8.319e-06, eta: 4:36:54, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1800, decode.acc_seg: 73.5858, aux.loss_ce: 0.0813, aux.acc_seg: 72.9972, loss: 0.2613 +2022-02-28 03:53:46,888 - mmseg - INFO - Iter [93500/160000] lr: 8.313e-06, eta: 4:36:43, time: 0.291, data_time: 0.048, memory: 56778, decode.loss_ce: 0.1724, decode.acc_seg: 74.1064, aux.loss_ce: 0.0772, aux.acc_seg: 73.5896, loss: 0.2497 +2022-02-28 03:53:59,213 - mmseg - INFO - Iter [93550/160000] lr: 8.306e-06, eta: 4:36:30, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1887, decode.acc_seg: 75.0102, aux.loss_ce: 0.0838, aux.acc_seg: 74.4005, loss: 0.2725 +2022-02-28 03:54:11,686 - mmseg - INFO - Iter [93600/160000] lr: 8.300e-06, eta: 4:36:18, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1673, decode.acc_seg: 75.7820, aux.loss_ce: 0.0752, aux.acc_seg: 75.1473, loss: 0.2425 +2022-02-28 03:54:23,884 - mmseg - INFO - Iter [93650/160000] lr: 8.294e-06, eta: 4:36:05, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1694, decode.acc_seg: 74.4153, aux.loss_ce: 0.0761, aux.acc_seg: 73.8660, loss: 0.2455 +2022-02-28 03:54:36,205 - mmseg - INFO - Iter [93700/160000] lr: 8.288e-06, eta: 4:35:52, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1585, decode.acc_seg: 74.5315, aux.loss_ce: 0.0721, aux.acc_seg: 74.0163, loss: 0.2306 +2022-02-28 03:54:48,928 - mmseg - INFO - Iter [93750/160000] lr: 8.281e-06, eta: 4:35:40, time: 0.254, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1819, decode.acc_seg: 74.2008, aux.loss_ce: 0.0807, aux.acc_seg: 73.6706, loss: 0.2626 +2022-02-28 03:55:01,338 - mmseg - INFO - Iter [93800/160000] lr: 8.275e-06, eta: 4:35:27, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1601, decode.acc_seg: 76.1442, aux.loss_ce: 0.0723, aux.acc_seg: 75.5582, loss: 0.2325 +2022-02-28 03:55:13,650 - mmseg - INFO - Iter [93850/160000] lr: 8.269e-06, eta: 4:35:15, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1829, decode.acc_seg: 74.9155, aux.loss_ce: 0.0820, aux.acc_seg: 74.2637, loss: 0.2649 +2022-02-28 03:55:25,820 - mmseg - INFO - Iter [93900/160000] lr: 8.263e-06, eta: 4:35:02, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1660, decode.acc_seg: 74.7811, aux.loss_ce: 0.0745, aux.acc_seg: 74.2639, loss: 0.2405 +2022-02-28 03:55:38,053 - mmseg - INFO - Iter [93950/160000] lr: 8.256e-06, eta: 4:34:50, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1770, decode.acc_seg: 75.0059, aux.loss_ce: 0.0795, aux.acc_seg: 74.3861, loss: 0.2565 +2022-02-28 03:55:50,293 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 03:55:50,293 - mmseg - INFO - Iter [94000/160000] lr: 8.250e-06, eta: 4:34:37, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1649, decode.acc_seg: 75.7567, aux.loss_ce: 0.0744, aux.acc_seg: 75.1585, loss: 0.2393 +2022-02-28 03:56:02,679 - mmseg - INFO - Iter [94050/160000] lr: 8.244e-06, eta: 4:34:24, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1675, decode.acc_seg: 74.5188, aux.loss_ce: 0.0749, aux.acc_seg: 73.9509, loss: 0.2424 +2022-02-28 03:56:14,864 - mmseg - INFO - Iter [94100/160000] lr: 8.238e-06, eta: 4:34:12, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1783, decode.acc_seg: 75.7114, aux.loss_ce: 0.0803, aux.acc_seg: 75.0760, loss: 0.2586 +2022-02-28 03:56:27,146 - mmseg - INFO - Iter [94150/160000] lr: 8.231e-06, eta: 4:33:59, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1859, decode.acc_seg: 74.2866, aux.loss_ce: 0.0830, aux.acc_seg: 73.7189, loss: 0.2688 +2022-02-28 03:56:39,282 - mmseg - INFO - Iter [94200/160000] lr: 8.225e-06, eta: 4:33:46, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1746, decode.acc_seg: 75.5466, aux.loss_ce: 0.0776, aux.acc_seg: 75.0437, loss: 0.2521 +2022-02-28 03:56:51,657 - mmseg - INFO - Iter [94250/160000] lr: 8.219e-06, eta: 4:33:34, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1729, decode.acc_seg: 74.6803, aux.loss_ce: 0.0773, aux.acc_seg: 74.0776, loss: 0.2502 +2022-02-28 03:57:04,043 - mmseg - INFO - Iter [94300/160000] lr: 8.213e-06, eta: 4:33:21, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1668, decode.acc_seg: 76.1387, aux.loss_ce: 0.0750, aux.acc_seg: 75.5466, loss: 0.2418 +2022-02-28 03:57:16,325 - mmseg - INFO - Iter [94350/160000] lr: 8.206e-06, eta: 4:33:09, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1818, decode.acc_seg: 75.7099, aux.loss_ce: 0.0810, aux.acc_seg: 75.1165, loss: 0.2628 +2022-02-28 03:57:28,701 - mmseg - INFO - Iter [94400/160000] lr: 8.200e-06, eta: 4:32:56, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1793, decode.acc_seg: 74.8756, aux.loss_ce: 0.0805, aux.acc_seg: 74.3617, loss: 0.2598 +2022-02-28 03:57:40,909 - mmseg - INFO - Iter [94450/160000] lr: 8.194e-06, eta: 4:32:43, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1694, decode.acc_seg: 74.9023, aux.loss_ce: 0.0768, aux.acc_seg: 74.2783, loss: 0.2462 +2022-02-28 03:57:53,133 - mmseg - INFO - Iter [94500/160000] lr: 8.188e-06, eta: 4:32:31, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1710, decode.acc_seg: 74.4030, aux.loss_ce: 0.0771, aux.acc_seg: 73.8889, loss: 0.2481 +2022-02-28 03:58:05,396 - mmseg - INFO - Iter [94550/160000] lr: 8.181e-06, eta: 4:32:18, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1605, decode.acc_seg: 73.7959, aux.loss_ce: 0.0721, aux.acc_seg: 73.2412, loss: 0.2325 +2022-02-28 03:58:17,578 - mmseg - INFO - Iter [94600/160000] lr: 8.175e-06, eta: 4:32:05, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1586, decode.acc_seg: 74.7491, aux.loss_ce: 0.0716, aux.acc_seg: 74.1669, loss: 0.2301 +2022-02-28 03:58:30,059 - mmseg - INFO - Iter [94650/160000] lr: 8.169e-06, eta: 4:31:53, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1736, decode.acc_seg: 75.6294, aux.loss_ce: 0.0771, aux.acc_seg: 75.0527, loss: 0.2508 +2022-02-28 03:58:42,437 - mmseg - INFO - Iter [94700/160000] lr: 8.163e-06, eta: 4:31:40, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1830, decode.acc_seg: 74.6999, aux.loss_ce: 0.0827, aux.acc_seg: 74.0516, loss: 0.2658 +2022-02-28 03:58:57,258 - mmseg - INFO - Iter [94750/160000] lr: 8.156e-06, eta: 4:31:29, time: 0.297, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1714, decode.acc_seg: 75.5279, aux.loss_ce: 0.0774, aux.acc_seg: 74.9456, loss: 0.2488 +2022-02-28 03:59:09,666 - mmseg - INFO - Iter [94800/160000] lr: 8.150e-06, eta: 4:31:17, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1739, decode.acc_seg: 74.2129, aux.loss_ce: 0.0797, aux.acc_seg: 73.5145, loss: 0.2536 +2022-02-28 03:59:22,040 - mmseg - INFO - Iter [94850/160000] lr: 8.144e-06, eta: 4:31:04, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1647, decode.acc_seg: 74.6969, aux.loss_ce: 0.0746, aux.acc_seg: 74.0988, loss: 0.2393 +2022-02-28 03:59:34,427 - mmseg - INFO - Iter [94900/160000] lr: 8.138e-06, eta: 4:30:52, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1705, decode.acc_seg: 74.9824, aux.loss_ce: 0.0769, aux.acc_seg: 74.3530, loss: 0.2474 +2022-02-28 03:59:46,798 - mmseg - INFO - Iter [94950/160000] lr: 8.131e-06, eta: 4:30:39, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1651, decode.acc_seg: 75.3548, aux.loss_ce: 0.0743, aux.acc_seg: 74.7839, loss: 0.2393 +2022-02-28 03:59:59,261 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 03:59:59,261 - mmseg - INFO - Iter [95000/160000] lr: 8.125e-06, eta: 4:30:27, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1741, decode.acc_seg: 74.4041, aux.loss_ce: 0.0792, aux.acc_seg: 73.7249, loss: 0.2533 +2022-02-28 04:00:11,474 - mmseg - INFO - Iter [95050/160000] lr: 8.119e-06, eta: 4:30:14, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1595, decode.acc_seg: 76.1408, aux.loss_ce: 0.0734, aux.acc_seg: 75.6271, loss: 0.2329 +2022-02-28 04:00:23,765 - mmseg - INFO - Iter [95100/160000] lr: 8.113e-06, eta: 4:30:01, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1804, decode.acc_seg: 73.4415, aux.loss_ce: 0.0826, aux.acc_seg: 72.7486, loss: 0.2630 +2022-02-28 04:00:36,134 - mmseg - INFO - Iter [95150/160000] lr: 8.106e-06, eta: 4:29:49, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1714, decode.acc_seg: 75.8165, aux.loss_ce: 0.0765, aux.acc_seg: 75.3091, loss: 0.2479 +2022-02-28 04:00:48,533 - mmseg - INFO - Iter [95200/160000] lr: 8.100e-06, eta: 4:29:36, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1744, decode.acc_seg: 74.5939, aux.loss_ce: 0.0779, aux.acc_seg: 74.1125, loss: 0.2523 +2022-02-28 04:01:01,009 - mmseg - INFO - Iter [95250/160000] lr: 8.094e-06, eta: 4:29:24, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1664, decode.acc_seg: 74.9316, aux.loss_ce: 0.0751, aux.acc_seg: 74.3347, loss: 0.2416 +2022-02-28 04:01:13,468 - mmseg - INFO - Iter [95300/160000] lr: 8.088e-06, eta: 4:29:11, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1652, decode.acc_seg: 75.0614, aux.loss_ce: 0.0737, aux.acc_seg: 74.5727, loss: 0.2390 +2022-02-28 04:01:25,683 - mmseg - INFO - Iter [95350/160000] lr: 8.081e-06, eta: 4:28:59, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1656, decode.acc_seg: 74.8134, aux.loss_ce: 0.0751, aux.acc_seg: 74.1868, loss: 0.2407 +2022-02-28 04:01:38,133 - mmseg - INFO - Iter [95400/160000] lr: 8.075e-06, eta: 4:28:46, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1652, decode.acc_seg: 73.5847, aux.loss_ce: 0.0748, aux.acc_seg: 72.9993, loss: 0.2400 +2022-02-28 04:01:50,433 - mmseg - INFO - Iter [95450/160000] lr: 8.069e-06, eta: 4:28:34, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1745, decode.acc_seg: 75.5700, aux.loss_ce: 0.0791, aux.acc_seg: 74.9212, loss: 0.2537 +2022-02-28 04:02:02,696 - mmseg - INFO - Iter [95500/160000] lr: 8.063e-06, eta: 4:28:21, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1653, decode.acc_seg: 74.6769, aux.loss_ce: 0.0741, aux.acc_seg: 74.0862, loss: 0.2395 +2022-02-28 04:02:15,269 - mmseg - INFO - Iter [95550/160000] lr: 8.056e-06, eta: 4:28:09, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1721, decode.acc_seg: 75.0718, aux.loss_ce: 0.0778, aux.acc_seg: 74.4854, loss: 0.2499 +2022-02-28 04:02:27,555 - mmseg - INFO - Iter [95600/160000] lr: 8.050e-06, eta: 4:27:56, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1690, decode.acc_seg: 74.7416, aux.loss_ce: 0.0767, aux.acc_seg: 74.1725, loss: 0.2457 +2022-02-28 04:02:40,015 - mmseg - INFO - Iter [95650/160000] lr: 8.044e-06, eta: 4:27:43, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1770, decode.acc_seg: 74.8267, aux.loss_ce: 0.0804, aux.acc_seg: 74.1879, loss: 0.2574 +2022-02-28 04:02:52,359 - mmseg - INFO - Iter [95700/160000] lr: 8.038e-06, eta: 4:27:31, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1666, decode.acc_seg: 74.9535, aux.loss_ce: 0.0756, aux.acc_seg: 74.3421, loss: 0.2422 +2022-02-28 04:03:04,753 - mmseg - INFO - Iter [95750/160000] lr: 8.031e-06, eta: 4:27:18, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1678, decode.acc_seg: 76.3871, aux.loss_ce: 0.0755, aux.acc_seg: 75.8322, loss: 0.2432 +2022-02-28 04:03:17,015 - mmseg - INFO - Iter [95800/160000] lr: 8.025e-06, eta: 4:27:06, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1728, decode.acc_seg: 75.0682, aux.loss_ce: 0.0782, aux.acc_seg: 74.4604, loss: 0.2510 +2022-02-28 04:03:29,459 - mmseg - INFO - Iter [95850/160000] lr: 8.019e-06, eta: 4:26:53, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1633, decode.acc_seg: 75.7946, aux.loss_ce: 0.0744, aux.acc_seg: 75.1313, loss: 0.2376 +2022-02-28 04:03:42,161 - mmseg - INFO - Iter [95900/160000] lr: 8.013e-06, eta: 4:26:41, time: 0.254, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1836, decode.acc_seg: 74.3473, aux.loss_ce: 0.0814, aux.acc_seg: 73.8032, loss: 0.2650 +2022-02-28 04:03:54,448 - mmseg - INFO - Iter [95950/160000] lr: 8.006e-06, eta: 4:26:28, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1751, decode.acc_seg: 75.3790, aux.loss_ce: 0.0781, aux.acc_seg: 74.8770, loss: 0.2531 +2022-02-28 04:04:08,940 - mmseg - INFO - Saving checkpoint at 96000 iterations +2022-02-28 04:04:11,922 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 04:04:11,922 - mmseg - INFO - Iter [96000/160000] lr: 8.000e-06, eta: 4:26:19, time: 0.350, data_time: 0.047, memory: 56778, decode.loss_ce: 0.1756, decode.acc_seg: 74.0316, aux.loss_ce: 0.0791, aux.acc_seg: 73.4381, loss: 0.2547 +2022-02-28 04:04:32,428 - mmseg - INFO - per class results: +2022-02-28 04:04:32,434 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 77.97 | 88.42 | +| building | 83.38 | 92.74 | +| sky | 94.39 | 97.48 | +| floor | 82.01 | 90.92 | +| tree | 73.7 | 89.27 | +| ceiling | 83.47 | 92.08 | +| road | 83.27 | 91.32 | +| bed | 89.27 | 96.78 | +| windowpane | 62.48 | 78.07 | +| grass | 68.59 | 84.77 | +| cabinet | 63.35 | 75.13 | +| sidewalk | 66.29 | 78.72 | +| person | 82.02 | 92.62 | +| earth | 38.96 | 51.13 | +| door | 51.88 | 64.37 | +| table | 63.83 | 79.15 | +| mountain | 57.48 | 70.69 | +| plant | 47.68 | 57.67 | +| curtain | 74.74 | 88.54 | +| chair | 57.85 | 71.14 | +| car | 84.29 | 92.54 | +| water | 59.0 | 77.03 | +| painting | 75.28 | 89.39 | +| sofa | 69.67 | 85.16 | +| shelf | 42.11 | 62.11 | +| house | 55.58 | 66.48 | +| sea | 57.9 | 71.69 | +| mirror | 68.19 | 75.58 | +| rug | 62.36 | 73.13 | +| field | 32.71 | 49.72 | +| armchair | 43.45 | 62.66 | +| seat | 64.51 | 83.33 | +| fence | 45.54 | 58.9 | +| desk | 50.62 | 72.41 | +| rock | 46.79 | 78.58 | +| wardrobe | 52.08 | 66.6 | +| lamp | 64.05 | 77.8 | +| bathtub | 81.09 | 83.65 | +| railing | 33.85 | 48.33 | +| cushion | 58.49 | 71.01 | +| base | 31.14 | 45.55 | +| box | 27.53 | 34.49 | +| column | 48.09 | 62.46 | +| signboard | 34.06 | 49.93 | +| chest of drawers | 40.9 | 57.81 | +| counter | 28.63 | 38.66 | +| sand | 52.8 | 76.25 | +| sink | 71.86 | 82.31 | +| skyscraper | 55.76 | 70.28 | +| fireplace | 79.58 | 88.46 | +| refrigerator | 76.14 | 80.11 | +| grandstand | 41.85 | 75.89 | +| path | 31.61 | 43.24 | +| stairs | 26.41 | 30.52 | +| runway | 67.92 | 88.49 | +| case | 54.56 | 64.19 | +| pool table | 93.49 | 96.29 | +| pillow | 55.65 | 65.75 | +| screen door | 73.57 | 76.34 | +| stairway | 27.3 | 37.34 | +| river | 14.9 | 28.03 | +| bridge | 69.48 | 82.7 | +| bookcase | 43.06 | 64.8 | +| blind | 43.32 | 51.22 | +| coffee table | 64.29 | 80.84 | +| toilet | 85.1 | 90.56 | +| flower | 39.01 | 55.04 | +| book | 46.85 | 64.39 | +| hill | 8.26 | 12.57 | +| bench | 43.8 | 53.57 | +| countertop | 59.33 | 77.88 | +| stove | 76.29 | 84.69 | +| palm | 52.01 | 74.41 | +| kitchen island | 49.94 | 82.39 | +| computer | 69.76 | 85.23 | +| swivel chair | 44.4 | 61.13 | +| boat | 44.92 | 54.91 | +| bar | 26.66 | 29.98 | +| arcade machine | 39.1 | 42.37 | +| hovel | 60.61 | 64.1 | +| bus | 87.97 | 95.57 | +| towel | 67.58 | 80.07 | +| light | 56.66 | 64.64 | +| truck | 26.86 | 31.68 | +| tower | 12.1 | 19.25 | +| chandelier | 69.38 | 84.42 | +| awning | 30.23 | 33.65 | +| streetlight | 28.14 | 38.15 | +| booth | 39.84 | 44.35 | +| television receiver | 67.57 | 82.16 | +| airplane | 59.14 | 65.41 | +| dirt track | 0.04 | 0.22 | +| apparel | 36.06 | 48.94 | +| pole | 21.39 | 26.93 | +| land | 1.08 | 1.72 | +| bannister | 16.33 | 25.56 | +| escalator | 44.52 | 60.74 | +| ottoman | 55.48 | 68.2 | +| bottle | 36.89 | 54.82 | +| buffet | 42.21 | 48.95 | +| poster | 34.34 | 43.0 | +| stage | 15.65 | 21.01 | +| van | 40.96 | 57.81 | +| ship | 60.19 | 91.22 | +| fountain | 27.47 | 28.9 | +| conveyer belt | 74.73 | 86.37 | +| canopy | 35.27 | 46.48 | +| washer | 75.99 | 77.16 | +| plaything | 29.86 | 40.94 | +| swimming pool | 64.01 | 65.17 | +| stool | 47.29 | 63.03 | +| barrel | 46.55 | 68.75 | +| basket | 36.87 | 54.4 | +| waterfall | 49.11 | 52.1 | +| tent | 83.97 | 98.54 | +| bag | 16.6 | 20.13 | +| minibike | 67.69 | 85.2 | +| cradle | 84.44 | 97.1 | +| oven | 48.72 | 60.16 | +| ball | 50.72 | 61.57 | +| food | 55.8 | 66.65 | +| step | 13.9 | 15.9 | +| tank | 52.52 | 54.71 | +| trade name | 16.18 | 18.06 | +| microwave | 81.99 | 91.4 | +| pot | 40.3 | 44.0 | +| animal | 59.93 | 63.18 | +| bicycle | 57.56 | 80.03 | +| lake | 57.85 | 67.52 | +| dishwasher | 68.01 | 72.4 | +| screen | 57.09 | 73.92 | +| blanket | 11.43 | 14.44 | +| sculpture | 62.6 | 83.83 | +| hood | 58.12 | 74.47 | +| sconce | 51.79 | 63.61 | +| vase | 40.8 | 61.91 | +| traffic light | 29.57 | 50.65 | +| tray | 8.91 | 15.47 | +| ashcan | 43.92 | 61.56 | +| fan | 63.62 | 73.67 | +| pier | 31.49 | 47.56 | +| crt screen | 14.0 | 22.81 | +| plate | 55.26 | 69.5 | +| monitor | 53.79 | 75.45 | +| bulletin board | 31.37 | 37.62 | +| shower | 2.15 | 2.86 | +| radiator | 63.56 | 71.35 | +| glass | 13.37 | 14.23 | +| clock | 30.81 | 38.6 | +| flag | 60.65 | 66.25 | ++---------------------+-------+-------+ +2022-02-28 04:04:32,434 - mmseg - INFO - Summary: +2022-02-28 04:04:32,434 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 83.68 | 50.86 | 62.47 | ++-------+-------+-------+ +2022-02-28 04:04:32,440 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 04:04:32,440 - mmseg - INFO - Iter(val) [250] aAcc: 0.8368, mIoU: 0.5086, mAcc: 0.6247, IoU.wall: 0.7797, IoU.building: 0.8338, IoU.sky: 0.9439, IoU.floor: 0.8201, IoU.tree: 0.7370, IoU.ceiling: 0.8347, IoU.road: 0.8327, IoU.bed : 0.8927, IoU.windowpane: 0.6248, IoU.grass: 0.6859, IoU.cabinet: 0.6335, IoU.sidewalk: 0.6629, IoU.person: 0.8202, IoU.earth: 0.3896, IoU.door: 0.5188, IoU.table: 0.6383, IoU.mountain: 0.5748, IoU.plant: 0.4768, IoU.curtain: 0.7474, IoU.chair: 0.5785, IoU.car: 0.8429, IoU.water: 0.5900, IoU.painting: 0.7528, IoU.sofa: 0.6967, IoU.shelf: 0.4211, IoU.house: 0.5558, IoU.sea: 0.5790, IoU.mirror: 0.6819, IoU.rug: 0.6236, IoU.field: 0.3271, IoU.armchair: 0.4345, IoU.seat: 0.6451, IoU.fence: 0.4554, IoU.desk: 0.5062, IoU.rock: 0.4679, IoU.wardrobe: 0.5208, IoU.lamp: 0.6405, IoU.bathtub: 0.8109, IoU.railing: 0.3385, IoU.cushion: 0.5849, IoU.base: 0.3114, IoU.box: 0.2753, IoU.column: 0.4809, IoU.signboard: 0.3406, IoU.chest of drawers: 0.4090, IoU.counter: 0.2863, IoU.sand: 0.5280, IoU.sink: 0.7186, IoU.skyscraper: 0.5576, IoU.fireplace: 0.7958, IoU.refrigerator: 0.7614, IoU.grandstand: 0.4185, IoU.path: 0.3161, IoU.stairs: 0.2641, IoU.runway: 0.6792, IoU.case: 0.5456, IoU.pool table: 0.9349, IoU.pillow: 0.5565, IoU.screen door: 0.7357, IoU.stairway: 0.2730, IoU.river: 0.1490, IoU.bridge: 0.6948, IoU.bookcase: 0.4306, IoU.blind: 0.4332, IoU.coffee table: 0.6429, IoU.toilet: 0.8510, IoU.flower: 0.3901, IoU.book: 0.4685, IoU.hill: 0.0826, IoU.bench: 0.4380, IoU.countertop: 0.5933, IoU.stove: 0.7629, IoU.palm: 0.5201, IoU.kitchen island: 0.4994, IoU.computer: 0.6976, IoU.swivel chair: 0.4440, IoU.boat: 0.4492, IoU.bar: 0.2666, IoU.arcade machine: 0.3910, IoU.hovel: 0.6061, IoU.bus: 0.8797, IoU.towel: 0.6758, IoU.light: 0.5666, IoU.truck: 0.2686, IoU.tower: 0.1210, IoU.chandelier: 0.6938, IoU.awning: 0.3023, IoU.streetlight: 0.2814, IoU.booth: 0.3984, IoU.television receiver: 0.6757, IoU.airplane: 0.5914, IoU.dirt track: 0.0004, IoU.apparel: 0.3606, IoU.pole: 0.2139, IoU.land: 0.0108, IoU.bannister: 0.1633, IoU.escalator: 0.4452, IoU.ottoman: 0.5548, IoU.bottle: 0.3689, IoU.buffet: 0.4221, IoU.poster: 0.3434, IoU.stage: 0.1565, IoU.van: 0.4096, IoU.ship: 0.6019, IoU.fountain: 0.2747, IoU.conveyer belt: 0.7473, IoU.canopy: 0.3527, IoU.washer: 0.7599, IoU.plaything: 0.2986, IoU.swimming pool: 0.6401, IoU.stool: 0.4729, IoU.barrel: 0.4655, IoU.basket: 0.3687, IoU.waterfall: 0.4911, IoU.tent: 0.8397, IoU.bag: 0.1660, IoU.minibike: 0.6769, IoU.cradle: 0.8444, IoU.oven: 0.4872, IoU.ball: 0.5072, IoU.food: 0.5580, IoU.step: 0.1390, IoU.tank: 0.5252, IoU.trade name: 0.1618, IoU.microwave: 0.8199, IoU.pot: 0.4030, IoU.animal: 0.5993, IoU.bicycle: 0.5756, IoU.lake: 0.5785, IoU.dishwasher: 0.6801, IoU.screen: 0.5709, IoU.blanket: 0.1143, IoU.sculpture: 0.6260, IoU.hood: 0.5812, IoU.sconce: 0.5179, IoU.vase: 0.4080, IoU.traffic light: 0.2957, IoU.tray: 0.0891, IoU.ashcan: 0.4392, IoU.fan: 0.6362, IoU.pier: 0.3149, IoU.crt screen: 0.1400, IoU.plate: 0.5526, IoU.monitor: 0.5379, IoU.bulletin board: 0.3137, IoU.shower: 0.0215, IoU.radiator: 0.6356, IoU.glass: 0.1337, IoU.clock: 0.3081, IoU.flag: 0.6065, Acc.wall: 0.8842, Acc.building: 0.9274, Acc.sky: 0.9748, Acc.floor: 0.9092, Acc.tree: 0.8927, Acc.ceiling: 0.9208, Acc.road: 0.9132, Acc.bed : 0.9678, Acc.windowpane: 0.7807, Acc.grass: 0.8477, Acc.cabinet: 0.7513, Acc.sidewalk: 0.7872, Acc.person: 0.9262, Acc.earth: 0.5113, Acc.door: 0.6437, Acc.table: 0.7915, Acc.mountain: 0.7069, Acc.plant: 0.5767, Acc.curtain: 0.8854, Acc.chair: 0.7114, Acc.car: 0.9254, Acc.water: 0.7703, Acc.painting: 0.8939, Acc.sofa: 0.8516, Acc.shelf: 0.6211, Acc.house: 0.6648, Acc.sea: 0.7169, Acc.mirror: 0.7558, Acc.rug: 0.7313, Acc.field: 0.4972, Acc.armchair: 0.6266, Acc.seat: 0.8333, Acc.fence: 0.5890, Acc.desk: 0.7241, Acc.rock: 0.7858, Acc.wardrobe: 0.6660, Acc.lamp: 0.7780, Acc.bathtub: 0.8365, Acc.railing: 0.4833, Acc.cushion: 0.7101, Acc.base: 0.4555, Acc.box: 0.3449, Acc.column: 0.6246, Acc.signboard: 0.4993, Acc.chest of drawers: 0.5781, Acc.counter: 0.3866, Acc.sand: 0.7625, Acc.sink: 0.8231, Acc.skyscraper: 0.7028, Acc.fireplace: 0.8846, Acc.refrigerator: 0.8011, Acc.grandstand: 0.7589, Acc.path: 0.4324, Acc.stairs: 0.3052, Acc.runway: 0.8849, Acc.case: 0.6419, Acc.pool table: 0.9629, Acc.pillow: 0.6575, Acc.screen door: 0.7634, Acc.stairway: 0.3734, Acc.river: 0.2803, Acc.bridge: 0.8270, Acc.bookcase: 0.6480, Acc.blind: 0.5122, Acc.coffee table: 0.8084, Acc.toilet: 0.9056, Acc.flower: 0.5504, Acc.book: 0.6439, Acc.hill: 0.1257, Acc.bench: 0.5357, Acc.countertop: 0.7788, Acc.stove: 0.8469, Acc.palm: 0.7441, Acc.kitchen island: 0.8239, Acc.computer: 0.8523, Acc.swivel chair: 0.6113, Acc.boat: 0.5491, Acc.bar: 0.2998, Acc.arcade machine: 0.4237, Acc.hovel: 0.6410, Acc.bus: 0.9557, Acc.towel: 0.8007, Acc.light: 0.6464, Acc.truck: 0.3168, Acc.tower: 0.1925, Acc.chandelier: 0.8442, Acc.awning: 0.3365, Acc.streetlight: 0.3815, Acc.booth: 0.4435, Acc.television receiver: 0.8216, Acc.airplane: 0.6541, Acc.dirt track: 0.0022, Acc.apparel: 0.4894, Acc.pole: 0.2693, Acc.land: 0.0172, Acc.bannister: 0.2556, Acc.escalator: 0.6074, Acc.ottoman: 0.6820, Acc.bottle: 0.5482, Acc.buffet: 0.4895, Acc.poster: 0.4300, Acc.stage: 0.2101, Acc.van: 0.5781, Acc.ship: 0.9122, Acc.fountain: 0.2890, Acc.conveyer belt: 0.8637, Acc.canopy: 0.4648, Acc.washer: 0.7716, Acc.plaything: 0.4094, Acc.swimming pool: 0.6517, Acc.stool: 0.6303, Acc.barrel: 0.6875, Acc.basket: 0.5440, Acc.waterfall: 0.5210, Acc.tent: 0.9854, Acc.bag: 0.2013, Acc.minibike: 0.8520, Acc.cradle: 0.9710, Acc.oven: 0.6016, Acc.ball: 0.6157, Acc.food: 0.6665, Acc.step: 0.1590, Acc.tank: 0.5471, Acc.trade name: 0.1806, Acc.microwave: 0.9140, Acc.pot: 0.4400, Acc.animal: 0.6318, Acc.bicycle: 0.8003, Acc.lake: 0.6752, Acc.dishwasher: 0.7240, Acc.screen: 0.7392, Acc.blanket: 0.1444, Acc.sculpture: 0.8383, Acc.hood: 0.7447, Acc.sconce: 0.6361, Acc.vase: 0.6191, Acc.traffic light: 0.5065, Acc.tray: 0.1547, Acc.ashcan: 0.6156, Acc.fan: 0.7367, Acc.pier: 0.4756, Acc.crt screen: 0.2281, Acc.plate: 0.6950, Acc.monitor: 0.7545, Acc.bulletin board: 0.3762, Acc.shower: 0.0286, Acc.radiator: 0.7135, Acc.glass: 0.1423, Acc.clock: 0.3860, Acc.flag: 0.6625 +2022-02-28 04:04:44,754 - mmseg - INFO - Iter [96050/160000] lr: 7.994e-06, eta: 4:26:20, time: 0.657, data_time: 0.414, memory: 56778, decode.loss_ce: 0.1671, decode.acc_seg: 75.0891, aux.loss_ce: 0.0751, aux.acc_seg: 74.5626, loss: 0.2422 +2022-02-28 04:04:56,965 - mmseg - INFO - Iter [96100/160000] lr: 7.988e-06, eta: 4:26:07, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1702, decode.acc_seg: 74.7361, aux.loss_ce: 0.0767, aux.acc_seg: 74.1919, loss: 0.2469 +2022-02-28 04:05:09,232 - mmseg - INFO - Iter [96150/160000] lr: 7.981e-06, eta: 4:25:55, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1741, decode.acc_seg: 75.0481, aux.loss_ce: 0.0783, aux.acc_seg: 74.4657, loss: 0.2524 +2022-02-28 04:05:21,347 - mmseg - INFO - Iter [96200/160000] lr: 7.975e-06, eta: 4:25:42, time: 0.242, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1714, decode.acc_seg: 77.2335, aux.loss_ce: 0.0785, aux.acc_seg: 76.5816, loss: 0.2499 +2022-02-28 04:05:33,806 - mmseg - INFO - Iter [96250/160000] lr: 7.969e-06, eta: 4:25:30, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1671, decode.acc_seg: 74.4410, aux.loss_ce: 0.0745, aux.acc_seg: 73.8750, loss: 0.2416 +2022-02-28 04:05:45,975 - mmseg - INFO - Iter [96300/160000] lr: 7.963e-06, eta: 4:25:17, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1671, decode.acc_seg: 76.4686, aux.loss_ce: 0.0751, aux.acc_seg: 75.9124, loss: 0.2421 +2022-02-28 04:05:58,342 - mmseg - INFO - Iter [96350/160000] lr: 7.956e-06, eta: 4:25:04, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1695, decode.acc_seg: 75.5036, aux.loss_ce: 0.0769, aux.acc_seg: 74.8395, loss: 0.2464 +2022-02-28 04:06:10,665 - mmseg - INFO - Iter [96400/160000] lr: 7.950e-06, eta: 4:24:52, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1705, decode.acc_seg: 74.0289, aux.loss_ce: 0.0768, aux.acc_seg: 73.4581, loss: 0.2473 +2022-02-28 04:06:22,926 - mmseg - INFO - Iter [96450/160000] lr: 7.944e-06, eta: 4:24:39, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1689, decode.acc_seg: 74.9231, aux.loss_ce: 0.0768, aux.acc_seg: 74.2963, loss: 0.2457 +2022-02-28 04:06:35,234 - mmseg - INFO - Iter [96500/160000] lr: 7.938e-06, eta: 4:24:26, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1692, decode.acc_seg: 73.7817, aux.loss_ce: 0.0755, aux.acc_seg: 73.3711, loss: 0.2447 +2022-02-28 04:06:47,359 - mmseg - INFO - Iter [96550/160000] lr: 7.931e-06, eta: 4:24:14, time: 0.242, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1611, decode.acc_seg: 76.4392, aux.loss_ce: 0.0727, aux.acc_seg: 75.8769, loss: 0.2338 +2022-02-28 04:06:59,652 - mmseg - INFO - Iter [96600/160000] lr: 7.925e-06, eta: 4:24:01, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1597, decode.acc_seg: 74.0168, aux.loss_ce: 0.0716, aux.acc_seg: 73.4853, loss: 0.2313 +2022-02-28 04:07:11,908 - mmseg - INFO - Iter [96650/160000] lr: 7.919e-06, eta: 4:23:48, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1786, decode.acc_seg: 75.0728, aux.loss_ce: 0.0805, aux.acc_seg: 74.4848, loss: 0.2591 +2022-02-28 04:07:24,087 - mmseg - INFO - Iter [96700/160000] lr: 7.913e-06, eta: 4:23:36, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1669, decode.acc_seg: 76.3340, aux.loss_ce: 0.0760, aux.acc_seg: 75.6949, loss: 0.2428 +2022-02-28 04:07:36,384 - mmseg - INFO - Iter [96750/160000] lr: 7.906e-06, eta: 4:23:23, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1632, decode.acc_seg: 75.0419, aux.loss_ce: 0.0747, aux.acc_seg: 74.3226, loss: 0.2379 +2022-02-28 04:07:48,580 - mmseg - INFO - Iter [96800/160000] lr: 7.900e-06, eta: 4:23:10, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1608, decode.acc_seg: 74.0602, aux.loss_ce: 0.0725, aux.acc_seg: 73.4492, loss: 0.2333 +2022-02-28 04:08:00,901 - mmseg - INFO - Iter [96850/160000] lr: 7.894e-06, eta: 4:22:58, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1665, decode.acc_seg: 75.0972, aux.loss_ce: 0.0749, aux.acc_seg: 74.5449, loss: 0.2414 +2022-02-28 04:08:13,157 - mmseg - INFO - Iter [96900/160000] lr: 7.888e-06, eta: 4:22:45, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1735, decode.acc_seg: 74.3004, aux.loss_ce: 0.0783, aux.acc_seg: 73.6405, loss: 0.2519 +2022-02-28 04:08:25,522 - mmseg - INFO - Iter [96950/160000] lr: 7.881e-06, eta: 4:22:33, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1614, decode.acc_seg: 76.0340, aux.loss_ce: 0.0729, aux.acc_seg: 75.4471, loss: 0.2342 +2022-02-28 04:08:37,694 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 04:08:37,694 - mmseg - INFO - Iter [97000/160000] lr: 7.875e-06, eta: 4:22:20, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1738, decode.acc_seg: 75.6410, aux.loss_ce: 0.0782, aux.acc_seg: 75.0949, loss: 0.2519 +2022-02-28 04:08:49,898 - mmseg - INFO - Iter [97050/160000] lr: 7.869e-06, eta: 4:22:07, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1702, decode.acc_seg: 74.9725, aux.loss_ce: 0.0775, aux.acc_seg: 74.3611, loss: 0.2477 +2022-02-28 04:09:02,152 - mmseg - INFO - Iter [97100/160000] lr: 7.863e-06, eta: 4:21:55, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1736, decode.acc_seg: 75.4014, aux.loss_ce: 0.0776, aux.acc_seg: 74.8284, loss: 0.2512 +2022-02-28 04:09:14,464 - mmseg - INFO - Iter [97150/160000] lr: 7.856e-06, eta: 4:21:42, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1567, decode.acc_seg: 74.5473, aux.loss_ce: 0.0711, aux.acc_seg: 73.9851, loss: 0.2279 +2022-02-28 04:09:27,143 - mmseg - INFO - Iter [97200/160000] lr: 7.850e-06, eta: 4:21:30, time: 0.254, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1588, decode.acc_seg: 74.7932, aux.loss_ce: 0.0727, aux.acc_seg: 74.2235, loss: 0.2315 +2022-02-28 04:09:39,241 - mmseg - INFO - Iter [97250/160000] lr: 7.844e-06, eta: 4:21:17, time: 0.242, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1826, decode.acc_seg: 75.9769, aux.loss_ce: 0.0818, aux.acc_seg: 75.4104, loss: 0.2644 +2022-02-28 04:09:53,850 - mmseg - INFO - Iter [97300/160000] lr: 7.838e-06, eta: 4:21:06, time: 0.292, data_time: 0.047, memory: 56778, decode.loss_ce: 0.1621, decode.acc_seg: 75.6369, aux.loss_ce: 0.0734, aux.acc_seg: 75.0645, loss: 0.2355 +2022-02-28 04:10:06,380 - mmseg - INFO - Iter [97350/160000] lr: 7.831e-06, eta: 4:20:53, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1634, decode.acc_seg: 75.3776, aux.loss_ce: 0.0746, aux.acc_seg: 74.6936, loss: 0.2380 +2022-02-28 04:10:18,799 - mmseg - INFO - Iter [97400/160000] lr: 7.825e-06, eta: 4:20:41, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1727, decode.acc_seg: 73.8980, aux.loss_ce: 0.0775, aux.acc_seg: 73.3411, loss: 0.2502 +2022-02-28 04:10:31,190 - mmseg - INFO - Iter [97450/160000] lr: 7.819e-06, eta: 4:20:28, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1560, decode.acc_seg: 73.3460, aux.loss_ce: 0.0702, aux.acc_seg: 72.7504, loss: 0.2262 +2022-02-28 04:10:43,486 - mmseg - INFO - Iter [97500/160000] lr: 7.813e-06, eta: 4:20:15, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1677, decode.acc_seg: 75.1713, aux.loss_ce: 0.0766, aux.acc_seg: 74.5114, loss: 0.2443 +2022-02-28 04:10:55,862 - mmseg - INFO - Iter [97550/160000] lr: 7.806e-06, eta: 4:20:03, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1754, decode.acc_seg: 75.6626, aux.loss_ce: 0.0797, aux.acc_seg: 75.0053, loss: 0.2550 +2022-02-28 04:11:08,096 - mmseg - INFO - Iter [97600/160000] lr: 7.800e-06, eta: 4:19:50, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1708, decode.acc_seg: 76.0816, aux.loss_ce: 0.0771, aux.acc_seg: 75.4239, loss: 0.2479 +2022-02-28 04:11:20,560 - mmseg - INFO - Iter [97650/160000] lr: 7.794e-06, eta: 4:19:38, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1677, decode.acc_seg: 76.1237, aux.loss_ce: 0.0749, aux.acc_seg: 75.5841, loss: 0.2426 +2022-02-28 04:11:32,955 - mmseg - INFO - Iter [97700/160000] lr: 7.788e-06, eta: 4:19:25, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1614, decode.acc_seg: 75.5755, aux.loss_ce: 0.0747, aux.acc_seg: 74.9420, loss: 0.2362 +2022-02-28 04:11:45,185 - mmseg - INFO - Iter [97750/160000] lr: 7.781e-06, eta: 4:19:13, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1756, decode.acc_seg: 76.5826, aux.loss_ce: 0.0792, aux.acc_seg: 76.0101, loss: 0.2548 +2022-02-28 04:11:57,396 - mmseg - INFO - Iter [97800/160000] lr: 7.775e-06, eta: 4:19:00, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1654, decode.acc_seg: 75.3246, aux.loss_ce: 0.0752, aux.acc_seg: 74.6949, loss: 0.2406 +2022-02-28 04:12:09,855 - mmseg - INFO - Iter [97850/160000] lr: 7.769e-06, eta: 4:18:47, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1682, decode.acc_seg: 74.5341, aux.loss_ce: 0.0752, aux.acc_seg: 74.0553, loss: 0.2434 +2022-02-28 04:12:22,237 - mmseg - INFO - Iter [97900/160000] lr: 7.763e-06, eta: 4:18:35, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1628, decode.acc_seg: 76.5629, aux.loss_ce: 0.0733, aux.acc_seg: 76.0108, loss: 0.2362 +2022-02-28 04:12:34,551 - mmseg - INFO - Iter [97950/160000] lr: 7.756e-06, eta: 4:18:22, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1682, decode.acc_seg: 76.1146, aux.loss_ce: 0.0765, aux.acc_seg: 75.4665, loss: 0.2447 +2022-02-28 04:12:46,710 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 04:12:46,710 - mmseg - INFO - Iter [98000/160000] lr: 7.750e-06, eta: 4:18:09, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1620, decode.acc_seg: 75.0526, aux.loss_ce: 0.0748, aux.acc_seg: 74.2007, loss: 0.2368 +2022-02-28 04:12:58,971 - mmseg - INFO - Iter [98050/160000] lr: 7.744e-06, eta: 4:17:57, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1596, decode.acc_seg: 74.9529, aux.loss_ce: 0.0723, aux.acc_seg: 74.2951, loss: 0.2319 +2022-02-28 04:13:11,506 - mmseg - INFO - Iter [98100/160000] lr: 7.738e-06, eta: 4:17:44, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1665, decode.acc_seg: 74.6998, aux.loss_ce: 0.0750, aux.acc_seg: 74.0981, loss: 0.2414 +2022-02-28 04:13:23,732 - mmseg - INFO - Iter [98150/160000] lr: 7.731e-06, eta: 4:17:32, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1640, decode.acc_seg: 74.7635, aux.loss_ce: 0.0735, aux.acc_seg: 74.1877, loss: 0.2375 +2022-02-28 04:13:35,965 - mmseg - INFO - Iter [98200/160000] lr: 7.725e-06, eta: 4:17:19, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1773, decode.acc_seg: 73.9445, aux.loss_ce: 0.0792, aux.acc_seg: 73.4271, loss: 0.2565 +2022-02-28 04:13:48,283 - mmseg - INFO - Iter [98250/160000] lr: 7.719e-06, eta: 4:17:06, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1728, decode.acc_seg: 75.6833, aux.loss_ce: 0.0784, aux.acc_seg: 75.0740, loss: 0.2512 +2022-02-28 04:14:00,773 - mmseg - INFO - Iter [98300/160000] lr: 7.713e-06, eta: 4:16:54, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1613, decode.acc_seg: 75.1298, aux.loss_ce: 0.0725, aux.acc_seg: 74.6249, loss: 0.2338 +2022-02-28 04:14:13,053 - mmseg - INFO - Iter [98350/160000] lr: 7.706e-06, eta: 4:16:41, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1809, decode.acc_seg: 75.7645, aux.loss_ce: 0.0821, aux.acc_seg: 75.1270, loss: 0.2630 +2022-02-28 04:14:25,400 - mmseg - INFO - Iter [98400/160000] lr: 7.700e-06, eta: 4:16:29, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1656, decode.acc_seg: 75.1988, aux.loss_ce: 0.0744, aux.acc_seg: 74.7101, loss: 0.2400 +2022-02-28 04:14:37,562 - mmseg - INFO - Iter [98450/160000] lr: 7.694e-06, eta: 4:16:16, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1750, decode.acc_seg: 76.4883, aux.loss_ce: 0.0791, aux.acc_seg: 75.9090, loss: 0.2542 +2022-02-28 04:14:49,797 - mmseg - INFO - Iter [98500/160000] lr: 7.688e-06, eta: 4:16:03, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1618, decode.acc_seg: 73.2208, aux.loss_ce: 0.0725, aux.acc_seg: 72.6253, loss: 0.2343 +2022-02-28 04:15:04,315 - mmseg - INFO - Iter [98550/160000] lr: 7.681e-06, eta: 4:15:52, time: 0.290, data_time: 0.048, memory: 56778, decode.loss_ce: 0.1557, decode.acc_seg: 75.4837, aux.loss_ce: 0.0715, aux.acc_seg: 74.8199, loss: 0.2272 +2022-02-28 04:15:16,510 - mmseg - INFO - Iter [98600/160000] lr: 7.675e-06, eta: 4:15:39, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1667, decode.acc_seg: 75.7561, aux.loss_ce: 0.0755, aux.acc_seg: 75.1881, loss: 0.2422 +2022-02-28 04:15:28,808 - mmseg - INFO - Iter [98650/160000] lr: 7.669e-06, eta: 4:15:27, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1622, decode.acc_seg: 75.5935, aux.loss_ce: 0.0736, aux.acc_seg: 74.9802, loss: 0.2359 +2022-02-28 04:15:40,980 - mmseg - INFO - Iter [98700/160000] lr: 7.663e-06, eta: 4:15:14, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1726, decode.acc_seg: 75.2834, aux.loss_ce: 0.0776, aux.acc_seg: 74.6926, loss: 0.2502 +2022-02-28 04:15:53,266 - mmseg - INFO - Iter [98750/160000] lr: 7.656e-06, eta: 4:15:02, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1637, decode.acc_seg: 76.3630, aux.loss_ce: 0.0739, aux.acc_seg: 75.7898, loss: 0.2376 +2022-02-28 04:16:05,490 - mmseg - INFO - Iter [98800/160000] lr: 7.650e-06, eta: 4:14:49, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1662, decode.acc_seg: 74.8203, aux.loss_ce: 0.0751, aux.acc_seg: 74.2240, loss: 0.2413 +2022-02-28 04:16:17,716 - mmseg - INFO - Iter [98850/160000] lr: 7.644e-06, eta: 4:14:36, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1646, decode.acc_seg: 75.3750, aux.loss_ce: 0.0745, aux.acc_seg: 74.7753, loss: 0.2390 +2022-02-28 04:16:30,180 - mmseg - INFO - Iter [98900/160000] lr: 7.638e-06, eta: 4:14:24, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1685, decode.acc_seg: 75.0482, aux.loss_ce: 0.0757, aux.acc_seg: 74.4391, loss: 0.2442 +2022-02-28 04:16:42,469 - mmseg - INFO - Iter [98950/160000] lr: 7.631e-06, eta: 4:14:11, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1672, decode.acc_seg: 74.5616, aux.loss_ce: 0.0755, aux.acc_seg: 73.9183, loss: 0.2427 +2022-02-28 04:16:54,731 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 04:16:54,732 - mmseg - INFO - Iter [99000/160000] lr: 7.625e-06, eta: 4:13:58, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1612, decode.acc_seg: 75.7287, aux.loss_ce: 0.0727, aux.acc_seg: 75.1738, loss: 0.2339 +2022-02-28 04:17:07,137 - mmseg - INFO - Iter [99050/160000] lr: 7.619e-06, eta: 4:13:46, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1566, decode.acc_seg: 75.1664, aux.loss_ce: 0.0700, aux.acc_seg: 74.6359, loss: 0.2267 +2022-02-28 04:17:19,573 - mmseg - INFO - Iter [99100/160000] lr: 7.613e-06, eta: 4:13:33, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1592, decode.acc_seg: 76.1683, aux.loss_ce: 0.0722, aux.acc_seg: 75.5929, loss: 0.2314 +2022-02-28 04:17:31,776 - mmseg - INFO - Iter [99150/160000] lr: 7.606e-06, eta: 4:13:21, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1684, decode.acc_seg: 74.0485, aux.loss_ce: 0.0773, aux.acc_seg: 73.3571, loss: 0.2457 +2022-02-28 04:17:44,068 - mmseg - INFO - Iter [99200/160000] lr: 7.600e-06, eta: 4:13:08, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1584, decode.acc_seg: 75.6543, aux.loss_ce: 0.0723, aux.acc_seg: 74.9949, loss: 0.2307 +2022-02-28 04:17:56,364 - mmseg - INFO - Iter [99250/160000] lr: 7.594e-06, eta: 4:12:56, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1606, decode.acc_seg: 75.2357, aux.loss_ce: 0.0734, aux.acc_seg: 74.6102, loss: 0.2340 +2022-02-28 04:18:08,632 - mmseg - INFO - Iter [99300/160000] lr: 7.588e-06, eta: 4:12:43, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1607, decode.acc_seg: 74.6910, aux.loss_ce: 0.0726, aux.acc_seg: 74.1328, loss: 0.2333 +2022-02-28 04:18:20,800 - mmseg - INFO - Iter [99350/160000] lr: 7.581e-06, eta: 4:12:30, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1672, decode.acc_seg: 75.8680, aux.loss_ce: 0.0756, aux.acc_seg: 75.2628, loss: 0.2428 +2022-02-28 04:18:32,992 - mmseg - INFO - Iter [99400/160000] lr: 7.575e-06, eta: 4:12:18, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1678, decode.acc_seg: 74.7253, aux.loss_ce: 0.0760, aux.acc_seg: 74.1321, loss: 0.2437 +2022-02-28 04:18:45,178 - mmseg - INFO - Iter [99450/160000] lr: 7.569e-06, eta: 4:12:05, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1611, decode.acc_seg: 75.2774, aux.loss_ce: 0.0724, aux.acc_seg: 74.7457, loss: 0.2335 +2022-02-28 04:18:57,488 - mmseg - INFO - Iter [99500/160000] lr: 7.563e-06, eta: 4:11:52, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1745, decode.acc_seg: 75.0657, aux.loss_ce: 0.0784, aux.acc_seg: 74.4905, loss: 0.2530 +2022-02-28 04:19:09,895 - mmseg - INFO - Iter [99550/160000] lr: 7.556e-06, eta: 4:11:40, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1642, decode.acc_seg: 74.5617, aux.loss_ce: 0.0742, aux.acc_seg: 73.9040, loss: 0.2384 +2022-02-28 04:19:22,169 - mmseg - INFO - Iter [99600/160000] lr: 7.550e-06, eta: 4:11:27, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1681, decode.acc_seg: 73.7405, aux.loss_ce: 0.0771, aux.acc_seg: 73.0502, loss: 0.2451 +2022-02-28 04:19:34,385 - mmseg - INFO - Iter [99650/160000] lr: 7.544e-06, eta: 4:11:14, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1753, decode.acc_seg: 76.0322, aux.loss_ce: 0.0794, aux.acc_seg: 75.4130, loss: 0.2548 +2022-02-28 04:19:46,564 - mmseg - INFO - Iter [99700/160000] lr: 7.538e-06, eta: 4:11:02, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1651, decode.acc_seg: 75.9777, aux.loss_ce: 0.0745, aux.acc_seg: 75.3557, loss: 0.2396 +2022-02-28 04:19:58,933 - mmseg - INFO - Iter [99750/160000] lr: 7.531e-06, eta: 4:10:49, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1626, decode.acc_seg: 75.3575, aux.loss_ce: 0.0743, aux.acc_seg: 74.7921, loss: 0.2369 +2022-02-28 04:20:13,688 - mmseg - INFO - Iter [99800/160000] lr: 7.525e-06, eta: 4:10:38, time: 0.295, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1679, decode.acc_seg: 75.5703, aux.loss_ce: 0.0767, aux.acc_seg: 74.9114, loss: 0.2447 +2022-02-28 04:20:26,102 - mmseg - INFO - Iter [99850/160000] lr: 7.519e-06, eta: 4:10:26, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1570, decode.acc_seg: 74.5813, aux.loss_ce: 0.0714, aux.acc_seg: 73.9973, loss: 0.2284 +2022-02-28 04:20:38,427 - mmseg - INFO - Iter [99900/160000] lr: 7.513e-06, eta: 4:10:13, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1770, decode.acc_seg: 74.7295, aux.loss_ce: 0.0804, aux.acc_seg: 74.0748, loss: 0.2574 +2022-02-28 04:20:50,548 - mmseg - INFO - Iter [99950/160000] lr: 7.506e-06, eta: 4:10:00, time: 0.242, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1747, decode.acc_seg: 75.5623, aux.loss_ce: 0.0800, aux.acc_seg: 74.8949, loss: 0.2546 +2022-02-28 04:21:02,683 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 04:21:02,683 - mmseg - INFO - Iter [100000/160000] lr: 7.500e-06, eta: 4:09:48, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1583, decode.acc_seg: 75.4734, aux.loss_ce: 0.0715, aux.acc_seg: 74.9251, loss: 0.2298 +2022-02-28 04:21:15,031 - mmseg - INFO - Iter [100050/160000] lr: 7.494e-06, eta: 4:09:35, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1536, decode.acc_seg: 75.4257, aux.loss_ce: 0.0700, aux.acc_seg: 74.8081, loss: 0.2237 +2022-02-28 04:21:27,319 - mmseg - INFO - Iter [100100/160000] lr: 7.488e-06, eta: 4:09:22, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1626, decode.acc_seg: 76.1779, aux.loss_ce: 0.0735, aux.acc_seg: 75.4981, loss: 0.2361 +2022-02-28 04:21:39,562 - mmseg - INFO - Iter [100150/160000] lr: 7.481e-06, eta: 4:09:10, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1607, decode.acc_seg: 75.2547, aux.loss_ce: 0.0731, aux.acc_seg: 74.5842, loss: 0.2338 +2022-02-28 04:21:51,694 - mmseg - INFO - Iter [100200/160000] lr: 7.475e-06, eta: 4:08:57, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1660, decode.acc_seg: 75.1235, aux.loss_ce: 0.0752, aux.acc_seg: 74.5026, loss: 0.2412 +2022-02-28 04:22:04,034 - mmseg - INFO - Iter [100250/160000] lr: 7.469e-06, eta: 4:08:44, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1677, decode.acc_seg: 74.3058, aux.loss_ce: 0.0763, aux.acc_seg: 73.6869, loss: 0.2439 +2022-02-28 04:22:16,453 - mmseg - INFO - Iter [100300/160000] lr: 7.463e-06, eta: 4:08:32, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1604, decode.acc_seg: 75.9294, aux.loss_ce: 0.0723, aux.acc_seg: 75.3896, loss: 0.2328 +2022-02-28 04:22:28,667 - mmseg - INFO - Iter [100350/160000] lr: 7.456e-06, eta: 4:08:19, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1643, decode.acc_seg: 75.3423, aux.loss_ce: 0.0744, aux.acc_seg: 74.7360, loss: 0.2387 +2022-02-28 04:22:40,928 - mmseg - INFO - Iter [100400/160000] lr: 7.450e-06, eta: 4:08:07, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1831, decode.acc_seg: 75.3049, aux.loss_ce: 0.0811, aux.acc_seg: 74.6737, loss: 0.2642 +2022-02-28 04:22:53,095 - mmseg - INFO - Iter [100450/160000] lr: 7.444e-06, eta: 4:07:54, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1664, decode.acc_seg: 74.9032, aux.loss_ce: 0.0744, aux.acc_seg: 74.3888, loss: 0.2408 +2022-02-28 04:23:05,341 - mmseg - INFO - Iter [100500/160000] lr: 7.438e-06, eta: 4:07:41, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1626, decode.acc_seg: 73.7214, aux.loss_ce: 0.0742, aux.acc_seg: 73.0869, loss: 0.2368 +2022-02-28 04:23:17,589 - mmseg - INFO - Iter [100550/160000] lr: 7.431e-06, eta: 4:07:29, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1693, decode.acc_seg: 73.2408, aux.loss_ce: 0.0765, aux.acc_seg: 72.6735, loss: 0.2458 +2022-02-28 04:23:29,759 - mmseg - INFO - Iter [100600/160000] lr: 7.425e-06, eta: 4:07:16, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1706, decode.acc_seg: 75.6812, aux.loss_ce: 0.0769, aux.acc_seg: 75.0404, loss: 0.2475 +2022-02-28 04:23:41,939 - mmseg - INFO - Iter [100650/160000] lr: 7.419e-06, eta: 4:07:03, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1578, decode.acc_seg: 75.2002, aux.loss_ce: 0.0716, aux.acc_seg: 74.6680, loss: 0.2294 +2022-02-28 04:23:54,439 - mmseg - INFO - Iter [100700/160000] lr: 7.413e-06, eta: 4:06:51, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1598, decode.acc_seg: 74.2164, aux.loss_ce: 0.0723, aux.acc_seg: 73.6540, loss: 0.2322 +2022-02-28 04:24:06,625 - mmseg - INFO - Iter [100750/160000] lr: 7.406e-06, eta: 4:06:38, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1639, decode.acc_seg: 75.9873, aux.loss_ce: 0.0746, aux.acc_seg: 75.3912, loss: 0.2385 +2022-02-28 04:24:18,921 - mmseg - INFO - Iter [100800/160000] lr: 7.400e-06, eta: 4:06:26, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1624, decode.acc_seg: 75.2155, aux.loss_ce: 0.0732, aux.acc_seg: 74.6175, loss: 0.2355 +2022-02-28 04:24:31,336 - mmseg - INFO - Iter [100850/160000] lr: 7.394e-06, eta: 4:06:13, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1640, decode.acc_seg: 76.4917, aux.loss_ce: 0.0747, aux.acc_seg: 75.8602, loss: 0.2387 +2022-02-28 04:24:43,564 - mmseg - INFO - Iter [100900/160000] lr: 7.388e-06, eta: 4:06:00, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1722, decode.acc_seg: 76.3984, aux.loss_ce: 0.0779, aux.acc_seg: 75.8059, loss: 0.2500 +2022-02-28 04:24:55,838 - mmseg - INFO - Iter [100950/160000] lr: 7.381e-06, eta: 4:05:48, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1745, decode.acc_seg: 75.7492, aux.loss_ce: 0.0780, aux.acc_seg: 75.2136, loss: 0.2525 +2022-02-28 04:25:08,239 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 04:25:08,239 - mmseg - INFO - Iter [101000/160000] lr: 7.375e-06, eta: 4:05:35, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1627, decode.acc_seg: 76.3364, aux.loss_ce: 0.0737, aux.acc_seg: 75.7766, loss: 0.2364 +2022-02-28 04:25:22,793 - mmseg - INFO - Iter [101050/160000] lr: 7.369e-06, eta: 4:05:24, time: 0.291, data_time: 0.048, memory: 56778, decode.loss_ce: 0.1723, decode.acc_seg: 75.8446, aux.loss_ce: 0.0776, aux.acc_seg: 75.3054, loss: 0.2499 +2022-02-28 04:25:34,940 - mmseg - INFO - Iter [101100/160000] lr: 7.363e-06, eta: 4:05:11, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1668, decode.acc_seg: 75.9943, aux.loss_ce: 0.0760, aux.acc_seg: 75.2578, loss: 0.2429 +2022-02-28 04:25:47,135 - mmseg - INFO - Iter [101150/160000] lr: 7.356e-06, eta: 4:04:59, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1592, decode.acc_seg: 74.7547, aux.loss_ce: 0.0712, aux.acc_seg: 74.2876, loss: 0.2305 +2022-02-28 04:25:59,378 - mmseg - INFO - Iter [101200/160000] lr: 7.350e-06, eta: 4:04:46, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1512, decode.acc_seg: 74.6332, aux.loss_ce: 0.0694, aux.acc_seg: 74.0140, loss: 0.2206 +2022-02-28 04:26:11,737 - mmseg - INFO - Iter [101250/160000] lr: 7.344e-06, eta: 4:04:33, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1662, decode.acc_seg: 75.3751, aux.loss_ce: 0.0752, aux.acc_seg: 74.7905, loss: 0.2413 +2022-02-28 04:26:24,043 - mmseg - INFO - Iter [101300/160000] lr: 7.338e-06, eta: 4:04:21, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1687, decode.acc_seg: 74.2323, aux.loss_ce: 0.0760, aux.acc_seg: 73.6162, loss: 0.2447 +2022-02-28 04:26:36,407 - mmseg - INFO - Iter [101350/160000] lr: 7.331e-06, eta: 4:04:08, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1541, decode.acc_seg: 75.4943, aux.loss_ce: 0.0696, aux.acc_seg: 74.9256, loss: 0.2237 +2022-02-28 04:26:48,667 - mmseg - INFO - Iter [101400/160000] lr: 7.325e-06, eta: 4:03:56, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1555, decode.acc_seg: 76.1656, aux.loss_ce: 0.0701, aux.acc_seg: 75.6068, loss: 0.2257 +2022-02-28 04:27:00,899 - mmseg - INFO - Iter [101450/160000] lr: 7.319e-06, eta: 4:03:43, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1646, decode.acc_seg: 75.8177, aux.loss_ce: 0.0745, aux.acc_seg: 75.2243, loss: 0.2390 +2022-02-28 04:27:13,248 - mmseg - INFO - Iter [101500/160000] lr: 7.313e-06, eta: 4:03:30, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1614, decode.acc_seg: 74.7037, aux.loss_ce: 0.0735, aux.acc_seg: 74.1155, loss: 0.2349 +2022-02-28 04:27:25,652 - mmseg - INFO - Iter [101550/160000] lr: 7.306e-06, eta: 4:03:18, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1783, decode.acc_seg: 74.3799, aux.loss_ce: 0.0799, aux.acc_seg: 73.8484, loss: 0.2582 +2022-02-28 04:27:37,961 - mmseg - INFO - Iter [101600/160000] lr: 7.300e-06, eta: 4:03:05, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1679, decode.acc_seg: 74.2432, aux.loss_ce: 0.0756, aux.acc_seg: 73.6810, loss: 0.2435 +2022-02-28 04:27:50,230 - mmseg - INFO - Iter [101650/160000] lr: 7.294e-06, eta: 4:02:53, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1593, decode.acc_seg: 76.2251, aux.loss_ce: 0.0728, aux.acc_seg: 75.5585, loss: 0.2321 +2022-02-28 04:28:02,426 - mmseg - INFO - Iter [101700/160000] lr: 7.288e-06, eta: 4:02:40, time: 0.244, data_time: 0.005, memory: 56778, decode.loss_ce: 0.1663, decode.acc_seg: 74.8338, aux.loss_ce: 0.0747, aux.acc_seg: 74.1627, loss: 0.2410 +2022-02-28 04:28:14,576 - mmseg - INFO - Iter [101750/160000] lr: 7.281e-06, eta: 4:02:27, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1661, decode.acc_seg: 74.8310, aux.loss_ce: 0.0737, aux.acc_seg: 74.3927, loss: 0.2398 +2022-02-28 04:28:26,920 - mmseg - INFO - Iter [101800/160000] lr: 7.275e-06, eta: 4:02:15, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1733, decode.acc_seg: 74.9327, aux.loss_ce: 0.0781, aux.acc_seg: 74.3436, loss: 0.2514 +2022-02-28 04:28:39,219 - mmseg - INFO - Iter [101850/160000] lr: 7.269e-06, eta: 4:02:02, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1791, decode.acc_seg: 74.7397, aux.loss_ce: 0.0808, aux.acc_seg: 74.1724, loss: 0.2599 +2022-02-28 04:28:51,501 - mmseg - INFO - Iter [101900/160000] lr: 7.263e-06, eta: 4:01:50, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1691, decode.acc_seg: 76.1966, aux.loss_ce: 0.0766, aux.acc_seg: 75.5746, loss: 0.2458 +2022-02-28 04:29:03,832 - mmseg - INFO - Iter [101950/160000] lr: 7.256e-06, eta: 4:01:37, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1663, decode.acc_seg: 73.9710, aux.loss_ce: 0.0748, aux.acc_seg: 73.4593, loss: 0.2411 +2022-02-28 04:29:16,037 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 04:29:16,037 - mmseg - INFO - Iter [102000/160000] lr: 7.250e-06, eta: 4:01:24, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1606, decode.acc_seg: 75.1315, aux.loss_ce: 0.0728, aux.acc_seg: 74.5091, loss: 0.2333 +2022-02-28 04:29:28,347 - mmseg - INFO - Iter [102050/160000] lr: 7.244e-06, eta: 4:01:12, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1655, decode.acc_seg: 76.3911, aux.loss_ce: 0.0744, aux.acc_seg: 75.8604, loss: 0.2399 +2022-02-28 04:29:40,570 - mmseg - INFO - Iter [102100/160000] lr: 7.238e-06, eta: 4:00:59, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1675, decode.acc_seg: 75.2032, aux.loss_ce: 0.0761, aux.acc_seg: 74.5174, loss: 0.2436 +2022-02-28 04:29:52,803 - mmseg - INFO - Iter [102150/160000] lr: 7.231e-06, eta: 4:00:47, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1683, decode.acc_seg: 72.8311, aux.loss_ce: 0.0752, aux.acc_seg: 72.2875, loss: 0.2435 +2022-02-28 04:30:05,235 - mmseg - INFO - Iter [102200/160000] lr: 7.225e-06, eta: 4:00:34, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1509, decode.acc_seg: 76.4937, aux.loss_ce: 0.0687, aux.acc_seg: 75.9042, loss: 0.2196 +2022-02-28 04:30:17,445 - mmseg - INFO - Iter [102250/160000] lr: 7.219e-06, eta: 4:00:21, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1544, decode.acc_seg: 75.0446, aux.loss_ce: 0.0711, aux.acc_seg: 74.4288, loss: 0.2255 +2022-02-28 04:30:29,575 - mmseg - INFO - Iter [102300/160000] lr: 7.213e-06, eta: 4:00:09, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1642, decode.acc_seg: 75.8482, aux.loss_ce: 0.0743, aux.acc_seg: 75.2192, loss: 0.2385 +2022-02-28 04:30:44,202 - mmseg - INFO - Iter [102350/160000] lr: 7.206e-06, eta: 3:59:57, time: 0.293, data_time: 0.048, memory: 56778, decode.loss_ce: 0.1597, decode.acc_seg: 74.6615, aux.loss_ce: 0.0724, aux.acc_seg: 74.1102, loss: 0.2320 +2022-02-28 04:30:56,457 - mmseg - INFO - Iter [102400/160000] lr: 7.200e-06, eta: 3:59:45, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1548, decode.acc_seg: 75.0732, aux.loss_ce: 0.0715, aux.acc_seg: 74.3820, loss: 0.2263 +2022-02-28 04:31:08,790 - mmseg - INFO - Iter [102450/160000] lr: 7.194e-06, eta: 3:59:32, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1583, decode.acc_seg: 74.9177, aux.loss_ce: 0.0725, aux.acc_seg: 74.2462, loss: 0.2308 +2022-02-28 04:31:21,079 - mmseg - INFO - Iter [102500/160000] lr: 7.188e-06, eta: 3:59:20, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1660, decode.acc_seg: 75.9117, aux.loss_ce: 0.0745, aux.acc_seg: 75.2906, loss: 0.2405 +2022-02-28 04:31:33,307 - mmseg - INFO - Iter [102550/160000] lr: 7.181e-06, eta: 3:59:07, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1602, decode.acc_seg: 76.0993, aux.loss_ce: 0.0726, aux.acc_seg: 75.5086, loss: 0.2329 +2022-02-28 04:31:45,649 - mmseg - INFO - Iter [102600/160000] lr: 7.175e-06, eta: 3:58:54, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1650, decode.acc_seg: 74.0033, aux.loss_ce: 0.0740, aux.acc_seg: 73.5210, loss: 0.2390 +2022-02-28 04:31:57,856 - mmseg - INFO - Iter [102650/160000] lr: 7.169e-06, eta: 3:58:42, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1615, decode.acc_seg: 73.7745, aux.loss_ce: 0.0737, aux.acc_seg: 73.1500, loss: 0.2352 +2022-02-28 04:32:10,089 - mmseg - INFO - Iter [102700/160000] lr: 7.163e-06, eta: 3:58:29, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1634, decode.acc_seg: 73.7469, aux.loss_ce: 0.0750, aux.acc_seg: 73.0913, loss: 0.2383 +2022-02-28 04:32:22,415 - mmseg - INFO - Iter [102750/160000] lr: 7.156e-06, eta: 3:58:17, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1716, decode.acc_seg: 76.1421, aux.loss_ce: 0.0772, aux.acc_seg: 75.5066, loss: 0.2489 +2022-02-28 04:32:34,746 - mmseg - INFO - Iter [102800/160000] lr: 7.150e-06, eta: 3:58:04, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1649, decode.acc_seg: 73.9722, aux.loss_ce: 0.0739, aux.acc_seg: 73.4735, loss: 0.2388 +2022-02-28 04:32:47,057 - mmseg - INFO - Iter [102850/160000] lr: 7.144e-06, eta: 3:57:51, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1499, decode.acc_seg: 75.6074, aux.loss_ce: 0.0686, aux.acc_seg: 75.0486, loss: 0.2185 +2022-02-28 04:32:59,316 - mmseg - INFO - Iter [102900/160000] lr: 7.138e-06, eta: 3:57:39, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1744, decode.acc_seg: 74.6354, aux.loss_ce: 0.0791, aux.acc_seg: 73.9344, loss: 0.2536 +2022-02-28 04:33:11,675 - mmseg - INFO - Iter [102950/160000] lr: 7.131e-06, eta: 3:57:26, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1618, decode.acc_seg: 75.9726, aux.loss_ce: 0.0733, aux.acc_seg: 75.3500, loss: 0.2350 +2022-02-28 04:33:23,869 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 04:33:23,870 - mmseg - INFO - Iter [103000/160000] lr: 7.125e-06, eta: 3:57:14, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1669, decode.acc_seg: 75.3653, aux.loss_ce: 0.0758, aux.acc_seg: 74.7777, loss: 0.2428 +2022-02-28 04:33:36,189 - mmseg - INFO - Iter [103050/160000] lr: 7.119e-06, eta: 3:57:01, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1594, decode.acc_seg: 75.2415, aux.loss_ce: 0.0730, aux.acc_seg: 74.5837, loss: 0.2324 +2022-02-28 04:33:48,499 - mmseg - INFO - Iter [103100/160000] lr: 7.113e-06, eta: 3:56:48, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1689, decode.acc_seg: 75.3614, aux.loss_ce: 0.0756, aux.acc_seg: 74.8467, loss: 0.2445 +2022-02-28 04:34:00,749 - mmseg - INFO - Iter [103150/160000] lr: 7.106e-06, eta: 3:56:36, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1621, decode.acc_seg: 75.7399, aux.loss_ce: 0.0741, aux.acc_seg: 75.0701, loss: 0.2362 +2022-02-28 04:34:12,985 - mmseg - INFO - Iter [103200/160000] lr: 7.100e-06, eta: 3:56:23, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1592, decode.acc_seg: 74.9000, aux.loss_ce: 0.0724, aux.acc_seg: 74.2987, loss: 0.2316 +2022-02-28 04:34:25,203 - mmseg - INFO - Iter [103250/160000] lr: 7.094e-06, eta: 3:56:11, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1578, decode.acc_seg: 75.3938, aux.loss_ce: 0.0725, aux.acc_seg: 74.8127, loss: 0.2302 +2022-02-28 04:34:37,510 - mmseg - INFO - Iter [103300/160000] lr: 7.088e-06, eta: 3:55:58, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1608, decode.acc_seg: 74.8833, aux.loss_ce: 0.0726, aux.acc_seg: 74.2050, loss: 0.2334 +2022-02-28 04:34:49,665 - mmseg - INFO - Iter [103350/160000] lr: 7.081e-06, eta: 3:55:45, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1523, decode.acc_seg: 76.7833, aux.loss_ce: 0.0693, aux.acc_seg: 76.2721, loss: 0.2215 +2022-02-28 04:35:01,846 - mmseg - INFO - Iter [103400/160000] lr: 7.075e-06, eta: 3:55:33, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1637, decode.acc_seg: 76.1015, aux.loss_ce: 0.0747, aux.acc_seg: 75.4339, loss: 0.2384 +2022-02-28 04:35:14,031 - mmseg - INFO - Iter [103450/160000] lr: 7.069e-06, eta: 3:55:20, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1584, decode.acc_seg: 75.0415, aux.loss_ce: 0.0719, aux.acc_seg: 74.4769, loss: 0.2303 +2022-02-28 04:35:26,242 - mmseg - INFO - Iter [103500/160000] lr: 7.063e-06, eta: 3:55:07, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1578, decode.acc_seg: 76.4056, aux.loss_ce: 0.0721, aux.acc_seg: 75.8049, loss: 0.2299 +2022-02-28 04:35:38,479 - mmseg - INFO - Iter [103550/160000] lr: 7.056e-06, eta: 3:54:55, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1659, decode.acc_seg: 74.9761, aux.loss_ce: 0.0755, aux.acc_seg: 74.3414, loss: 0.2414 +2022-02-28 04:35:52,952 - mmseg - INFO - Iter [103600/160000] lr: 7.050e-06, eta: 3:54:43, time: 0.289, data_time: 0.051, memory: 56778, decode.loss_ce: 0.1638, decode.acc_seg: 74.7218, aux.loss_ce: 0.0743, aux.acc_seg: 74.1234, loss: 0.2381 +2022-02-28 04:36:05,125 - mmseg - INFO - Iter [103650/160000] lr: 7.044e-06, eta: 3:54:31, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1508, decode.acc_seg: 75.3597, aux.loss_ce: 0.0682, aux.acc_seg: 74.8145, loss: 0.2189 +2022-02-28 04:36:17,391 - mmseg - INFO - Iter [103700/160000] lr: 7.038e-06, eta: 3:54:18, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1551, decode.acc_seg: 75.2569, aux.loss_ce: 0.0712, aux.acc_seg: 74.6887, loss: 0.2263 +2022-02-28 04:36:29,568 - mmseg - INFO - Iter [103750/160000] lr: 7.031e-06, eta: 3:54:05, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1664, decode.acc_seg: 75.0072, aux.loss_ce: 0.0747, aux.acc_seg: 74.4619, loss: 0.2411 +2022-02-28 04:36:41,740 - mmseg - INFO - Iter [103800/160000] lr: 7.025e-06, eta: 3:53:53, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1668, decode.acc_seg: 75.6697, aux.loss_ce: 0.0755, aux.acc_seg: 75.0608, loss: 0.2424 +2022-02-28 04:36:53,946 - mmseg - INFO - Iter [103850/160000] lr: 7.019e-06, eta: 3:53:40, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1650, decode.acc_seg: 76.8722, aux.loss_ce: 0.0748, aux.acc_seg: 76.3075, loss: 0.2398 +2022-02-28 04:37:06,491 - mmseg - INFO - Iter [103900/160000] lr: 7.013e-06, eta: 3:53:28, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1636, decode.acc_seg: 74.3489, aux.loss_ce: 0.0749, aux.acc_seg: 73.6448, loss: 0.2385 +2022-02-28 04:37:18,679 - mmseg - INFO - Iter [103950/160000] lr: 7.006e-06, eta: 3:53:15, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1653, decode.acc_seg: 74.7580, aux.loss_ce: 0.0746, aux.acc_seg: 74.1527, loss: 0.2399 +2022-02-28 04:37:30,931 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 04:37:30,932 - mmseg - INFO - Iter [104000/160000] lr: 7.000e-06, eta: 3:53:02, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1666, decode.acc_seg: 75.8956, aux.loss_ce: 0.0741, aux.acc_seg: 75.3760, loss: 0.2408 +2022-02-28 04:37:43,083 - mmseg - INFO - Iter [104050/160000] lr: 6.994e-06, eta: 3:52:50, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1737, decode.acc_seg: 76.9393, aux.loss_ce: 0.0784, aux.acc_seg: 76.2841, loss: 0.2521 +2022-02-28 04:37:55,353 - mmseg - INFO - Iter [104100/160000] lr: 6.988e-06, eta: 3:52:37, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1718, decode.acc_seg: 74.6992, aux.loss_ce: 0.0768, aux.acc_seg: 74.1875, loss: 0.2486 +2022-02-28 04:38:07,633 - mmseg - INFO - Iter [104150/160000] lr: 6.981e-06, eta: 3:52:25, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1721, decode.acc_seg: 76.3602, aux.loss_ce: 0.0784, aux.acc_seg: 75.6730, loss: 0.2504 +2022-02-28 04:38:19,841 - mmseg - INFO - Iter [104200/160000] lr: 6.975e-06, eta: 3:52:12, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1639, decode.acc_seg: 76.3264, aux.loss_ce: 0.0743, aux.acc_seg: 75.7232, loss: 0.2382 +2022-02-28 04:38:32,156 - mmseg - INFO - Iter [104250/160000] lr: 6.969e-06, eta: 3:51:59, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1657, decode.acc_seg: 74.9291, aux.loss_ce: 0.0764, aux.acc_seg: 74.2200, loss: 0.2421 +2022-02-28 04:38:44,443 - mmseg - INFO - Iter [104300/160000] lr: 6.963e-06, eta: 3:51:47, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1598, decode.acc_seg: 74.3508, aux.loss_ce: 0.0727, aux.acc_seg: 73.7778, loss: 0.2325 +2022-02-28 04:38:56,676 - mmseg - INFO - Iter [104350/160000] lr: 6.956e-06, eta: 3:51:34, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1545, decode.acc_seg: 75.5593, aux.loss_ce: 0.0710, aux.acc_seg: 75.0167, loss: 0.2255 +2022-02-28 04:39:08,839 - mmseg - INFO - Iter [104400/160000] lr: 6.950e-06, eta: 3:51:22, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1677, decode.acc_seg: 74.8747, aux.loss_ce: 0.0771, aux.acc_seg: 74.1835, loss: 0.2447 +2022-02-28 04:39:21,049 - mmseg - INFO - Iter [104450/160000] lr: 6.944e-06, eta: 3:51:09, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1551, decode.acc_seg: 74.7077, aux.loss_ce: 0.0701, aux.acc_seg: 74.1718, loss: 0.2252 +2022-02-28 04:39:33,477 - mmseg - INFO - Iter [104500/160000] lr: 6.938e-06, eta: 3:50:56, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1616, decode.acc_seg: 75.4896, aux.loss_ce: 0.0726, aux.acc_seg: 74.9577, loss: 0.2342 +2022-02-28 04:39:45,776 - mmseg - INFO - Iter [104550/160000] lr: 6.931e-06, eta: 3:50:44, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1764, decode.acc_seg: 75.7024, aux.loss_ce: 0.0795, aux.acc_seg: 75.1651, loss: 0.2559 +2022-02-28 04:39:58,159 - mmseg - INFO - Iter [104600/160000] lr: 6.925e-06, eta: 3:50:31, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1669, decode.acc_seg: 74.3579, aux.loss_ce: 0.0761, aux.acc_seg: 73.7497, loss: 0.2430 +2022-02-28 04:40:10,412 - mmseg - INFO - Iter [104650/160000] lr: 6.919e-06, eta: 3:50:19, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1590, decode.acc_seg: 75.7152, aux.loss_ce: 0.0722, aux.acc_seg: 75.1237, loss: 0.2312 +2022-02-28 04:40:22,750 - mmseg - INFO - Iter [104700/160000] lr: 6.913e-06, eta: 3:50:06, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1736, decode.acc_seg: 74.9144, aux.loss_ce: 0.0781, aux.acc_seg: 74.4038, loss: 0.2517 +2022-02-28 04:40:34,964 - mmseg - INFO - Iter [104750/160000] lr: 6.906e-06, eta: 3:49:53, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1718, decode.acc_seg: 74.5996, aux.loss_ce: 0.0781, aux.acc_seg: 73.9540, loss: 0.2500 +2022-02-28 04:40:47,386 - mmseg - INFO - Iter [104800/160000] lr: 6.900e-06, eta: 3:49:41, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1565, decode.acc_seg: 75.0374, aux.loss_ce: 0.0708, aux.acc_seg: 74.4772, loss: 0.2273 +2022-02-28 04:41:02,225 - mmseg - INFO - Iter [104850/160000] lr: 6.894e-06, eta: 3:49:30, time: 0.297, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1545, decode.acc_seg: 77.3657, aux.loss_ce: 0.0706, aux.acc_seg: 76.7220, loss: 0.2252 +2022-02-28 04:41:14,515 - mmseg - INFO - Iter [104900/160000] lr: 6.888e-06, eta: 3:49:17, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1541, decode.acc_seg: 75.7667, aux.loss_ce: 0.0701, aux.acc_seg: 75.2483, loss: 0.2241 +2022-02-28 04:41:26,807 - mmseg - INFO - Iter [104950/160000] lr: 6.881e-06, eta: 3:49:05, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1526, decode.acc_seg: 76.4409, aux.loss_ce: 0.0701, aux.acc_seg: 75.8184, loss: 0.2227 +2022-02-28 04:41:39,074 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 04:41:39,074 - mmseg - INFO - Iter [105000/160000] lr: 6.875e-06, eta: 3:48:52, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1569, decode.acc_seg: 74.9630, aux.loss_ce: 0.0710, aux.acc_seg: 74.4145, loss: 0.2279 +2022-02-28 04:41:51,430 - mmseg - INFO - Iter [105050/160000] lr: 6.869e-06, eta: 3:48:39, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1713, decode.acc_seg: 75.1765, aux.loss_ce: 0.0766, aux.acc_seg: 74.6425, loss: 0.2478 +2022-02-28 04:42:03,657 - mmseg - INFO - Iter [105100/160000] lr: 6.863e-06, eta: 3:48:27, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1557, decode.acc_seg: 75.7967, aux.loss_ce: 0.0703, aux.acc_seg: 75.3091, loss: 0.2260 +2022-02-28 04:42:15,903 - mmseg - INFO - Iter [105150/160000] lr: 6.856e-06, eta: 3:48:14, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1628, decode.acc_seg: 75.6294, aux.loss_ce: 0.0744, aux.acc_seg: 75.0243, loss: 0.2373 +2022-02-28 04:42:28,150 - mmseg - INFO - Iter [105200/160000] lr: 6.850e-06, eta: 3:48:02, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1662, decode.acc_seg: 74.4581, aux.loss_ce: 0.0749, aux.acc_seg: 73.8780, loss: 0.2412 +2022-02-28 04:42:40,394 - mmseg - INFO - Iter [105250/160000] lr: 6.844e-06, eta: 3:47:49, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1513, decode.acc_seg: 75.7303, aux.loss_ce: 0.0687, aux.acc_seg: 75.1981, loss: 0.2200 +2022-02-28 04:42:52,622 - mmseg - INFO - Iter [105300/160000] lr: 6.838e-06, eta: 3:47:36, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1614, decode.acc_seg: 76.0617, aux.loss_ce: 0.0736, aux.acc_seg: 75.4255, loss: 0.2349 +2022-02-28 04:43:04,910 - mmseg - INFO - Iter [105350/160000] lr: 6.831e-06, eta: 3:47:24, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1581, decode.acc_seg: 75.3506, aux.loss_ce: 0.0722, aux.acc_seg: 74.7344, loss: 0.2303 +2022-02-28 04:43:17,632 - mmseg - INFO - Iter [105400/160000] lr: 6.825e-06, eta: 3:47:11, time: 0.254, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1615, decode.acc_seg: 75.1454, aux.loss_ce: 0.0743, aux.acc_seg: 74.4580, loss: 0.2357 +2022-02-28 04:43:29,941 - mmseg - INFO - Iter [105450/160000] lr: 6.819e-06, eta: 3:46:59, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1620, decode.acc_seg: 75.0864, aux.loss_ce: 0.0739, aux.acc_seg: 74.4473, loss: 0.2358 +2022-02-28 04:43:42,211 - mmseg - INFO - Iter [105500/160000] lr: 6.813e-06, eta: 3:46:46, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1721, decode.acc_seg: 74.9325, aux.loss_ce: 0.0779, aux.acc_seg: 74.2626, loss: 0.2500 +2022-02-28 04:43:54,654 - mmseg - INFO - Iter [105550/160000] lr: 6.806e-06, eta: 3:46:34, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1548, decode.acc_seg: 76.5794, aux.loss_ce: 0.0709, aux.acc_seg: 75.9717, loss: 0.2257 +2022-02-28 04:44:07,024 - mmseg - INFO - Iter [105600/160000] lr: 6.800e-06, eta: 3:46:21, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1582, decode.acc_seg: 74.1431, aux.loss_ce: 0.0722, aux.acc_seg: 73.4760, loss: 0.2303 +2022-02-28 04:44:19,382 - mmseg - INFO - Iter [105650/160000] lr: 6.794e-06, eta: 3:46:09, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1578, decode.acc_seg: 77.0561, aux.loss_ce: 0.0713, aux.acc_seg: 76.4408, loss: 0.2290 +2022-02-28 04:44:31,556 - mmseg - INFO - Iter [105700/160000] lr: 6.788e-06, eta: 3:45:56, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1533, decode.acc_seg: 76.0342, aux.loss_ce: 0.0702, aux.acc_seg: 75.4202, loss: 0.2234 +2022-02-28 04:44:43,860 - mmseg - INFO - Iter [105750/160000] lr: 6.781e-06, eta: 3:45:43, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1679, decode.acc_seg: 75.2777, aux.loss_ce: 0.0768, aux.acc_seg: 74.6293, loss: 0.2447 +2022-02-28 04:44:56,117 - mmseg - INFO - Iter [105800/160000] lr: 6.775e-06, eta: 3:45:31, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1609, decode.acc_seg: 74.7957, aux.loss_ce: 0.0728, aux.acc_seg: 74.1860, loss: 0.2337 +2022-02-28 04:45:08,456 - mmseg - INFO - Iter [105850/160000] lr: 6.769e-06, eta: 3:45:18, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1636, decode.acc_seg: 75.0199, aux.loss_ce: 0.0750, aux.acc_seg: 74.3662, loss: 0.2386 +2022-02-28 04:45:20,682 - mmseg - INFO - Iter [105900/160000] lr: 6.763e-06, eta: 3:45:06, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1621, decode.acc_seg: 74.6336, aux.loss_ce: 0.0737, aux.acc_seg: 74.0077, loss: 0.2359 +2022-02-28 04:45:32,967 - mmseg - INFO - Iter [105950/160000] lr: 6.756e-06, eta: 3:44:53, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1498, decode.acc_seg: 76.9236, aux.loss_ce: 0.0694, aux.acc_seg: 76.2352, loss: 0.2192 +2022-02-28 04:45:45,346 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 04:45:45,347 - mmseg - INFO - Iter [106000/160000] lr: 6.750e-06, eta: 3:44:41, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1517, decode.acc_seg: 74.1833, aux.loss_ce: 0.0694, aux.acc_seg: 73.6029, loss: 0.2211 +2022-02-28 04:45:57,525 - mmseg - INFO - Iter [106050/160000] lr: 6.744e-06, eta: 3:44:28, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1517, decode.acc_seg: 74.5590, aux.loss_ce: 0.0697, aux.acc_seg: 73.9371, loss: 0.2214 +2022-02-28 04:46:12,091 - mmseg - INFO - Iter [106100/160000] lr: 6.738e-06, eta: 3:44:16, time: 0.291, data_time: 0.049, memory: 56778, decode.loss_ce: 0.1657, decode.acc_seg: 76.2316, aux.loss_ce: 0.0748, aux.acc_seg: 75.6156, loss: 0.2405 +2022-02-28 04:46:24,331 - mmseg - INFO - Iter [106150/160000] lr: 6.731e-06, eta: 3:44:04, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1527, decode.acc_seg: 76.8894, aux.loss_ce: 0.0694, aux.acc_seg: 76.2848, loss: 0.2221 +2022-02-28 04:46:36,557 - mmseg - INFO - Iter [106200/160000] lr: 6.725e-06, eta: 3:43:51, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1613, decode.acc_seg: 75.6231, aux.loss_ce: 0.0748, aux.acc_seg: 74.9103, loss: 0.2361 +2022-02-28 04:46:48,876 - mmseg - INFO - Iter [106250/160000] lr: 6.719e-06, eta: 3:43:39, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1570, decode.acc_seg: 75.1912, aux.loss_ce: 0.0718, aux.acc_seg: 74.5173, loss: 0.2288 +2022-02-28 04:47:01,274 - mmseg - INFO - Iter [106300/160000] lr: 6.713e-06, eta: 3:43:26, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1570, decode.acc_seg: 76.4901, aux.loss_ce: 0.0720, aux.acc_seg: 75.7996, loss: 0.2290 +2022-02-28 04:47:13,456 - mmseg - INFO - Iter [106350/160000] lr: 6.706e-06, eta: 3:43:13, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1798, decode.acc_seg: 73.5107, aux.loss_ce: 0.0803, aux.acc_seg: 72.9984, loss: 0.2600 +2022-02-28 04:47:25,809 - mmseg - INFO - Iter [106400/160000] lr: 6.700e-06, eta: 3:43:01, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1595, decode.acc_seg: 76.6519, aux.loss_ce: 0.0727, aux.acc_seg: 76.0496, loss: 0.2322 +2022-02-28 04:47:38,024 - mmseg - INFO - Iter [106450/160000] lr: 6.694e-06, eta: 3:42:48, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1624, decode.acc_seg: 74.9992, aux.loss_ce: 0.0732, aux.acc_seg: 74.4031, loss: 0.2356 +2022-02-28 04:47:50,220 - mmseg - INFO - Iter [106500/160000] lr: 6.688e-06, eta: 3:42:36, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1612, decode.acc_seg: 75.6917, aux.loss_ce: 0.0730, aux.acc_seg: 75.1563, loss: 0.2341 +2022-02-28 04:48:02,454 - mmseg - INFO - Iter [106550/160000] lr: 6.681e-06, eta: 3:42:23, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1636, decode.acc_seg: 74.0365, aux.loss_ce: 0.0737, aux.acc_seg: 73.4272, loss: 0.2373 +2022-02-28 04:48:14,595 - mmseg - INFO - Iter [106600/160000] lr: 6.675e-06, eta: 3:42:10, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1548, decode.acc_seg: 76.1260, aux.loss_ce: 0.0702, aux.acc_seg: 75.5249, loss: 0.2250 +2022-02-28 04:48:26,903 - mmseg - INFO - Iter [106650/160000] lr: 6.669e-06, eta: 3:41:58, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1557, decode.acc_seg: 75.9299, aux.loss_ce: 0.0699, aux.acc_seg: 75.4558, loss: 0.2256 +2022-02-28 04:48:39,230 - mmseg - INFO - Iter [106700/160000] lr: 6.663e-06, eta: 3:41:45, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1560, decode.acc_seg: 75.2176, aux.loss_ce: 0.0719, aux.acc_seg: 74.5729, loss: 0.2279 +2022-02-28 04:48:51,507 - mmseg - INFO - Iter [106750/160000] lr: 6.656e-06, eta: 3:41:33, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1561, decode.acc_seg: 76.6945, aux.loss_ce: 0.0713, aux.acc_seg: 76.0108, loss: 0.2274 +2022-02-28 04:49:03,681 - mmseg - INFO - Iter [106800/160000] lr: 6.650e-06, eta: 3:41:20, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1560, decode.acc_seg: 75.5182, aux.loss_ce: 0.0716, aux.acc_seg: 74.9002, loss: 0.2276 +2022-02-28 04:49:15,952 - mmseg - INFO - Iter [106850/160000] lr: 6.644e-06, eta: 3:41:08, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1563, decode.acc_seg: 73.8891, aux.loss_ce: 0.0721, aux.acc_seg: 73.2363, loss: 0.2284 +2022-02-28 04:49:28,272 - mmseg - INFO - Iter [106900/160000] lr: 6.638e-06, eta: 3:40:55, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1668, decode.acc_seg: 74.8163, aux.loss_ce: 0.0760, aux.acc_seg: 74.1233, loss: 0.2428 +2022-02-28 04:49:40,816 - mmseg - INFO - Iter [106950/160000] lr: 6.631e-06, eta: 3:40:42, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1616, decode.acc_seg: 75.8951, aux.loss_ce: 0.0732, aux.acc_seg: 75.2547, loss: 0.2348 +2022-02-28 04:49:53,216 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 04:49:53,216 - mmseg - INFO - Iter [107000/160000] lr: 6.625e-06, eta: 3:40:30, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1686, decode.acc_seg: 75.6231, aux.loss_ce: 0.0767, aux.acc_seg: 74.9941, loss: 0.2453 +2022-02-28 04:50:05,503 - mmseg - INFO - Iter [107050/160000] lr: 6.619e-06, eta: 3:40:17, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1744, decode.acc_seg: 75.6039, aux.loss_ce: 0.0785, aux.acc_seg: 74.9537, loss: 0.2529 +2022-02-28 04:50:17,921 - mmseg - INFO - Iter [107100/160000] lr: 6.613e-06, eta: 3:40:05, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1556, decode.acc_seg: 74.2873, aux.loss_ce: 0.0710, aux.acc_seg: 73.6323, loss: 0.2266 +2022-02-28 04:50:30,387 - mmseg - INFO - Iter [107150/160000] lr: 6.606e-06, eta: 3:39:52, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1543, decode.acc_seg: 76.1524, aux.loss_ce: 0.0704, aux.acc_seg: 75.5170, loss: 0.2247 +2022-02-28 04:50:42,685 - mmseg - INFO - Iter [107200/160000] lr: 6.600e-06, eta: 3:39:40, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1589, decode.acc_seg: 75.4590, aux.loss_ce: 0.0729, aux.acc_seg: 74.8490, loss: 0.2318 +2022-02-28 04:50:54,948 - mmseg - INFO - Iter [107250/160000] lr: 6.594e-06, eta: 3:39:27, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1513, decode.acc_seg: 75.8949, aux.loss_ce: 0.0691, aux.acc_seg: 75.2439, loss: 0.2205 +2022-02-28 04:51:07,117 - mmseg - INFO - Iter [107300/160000] lr: 6.588e-06, eta: 3:39:15, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1497, decode.acc_seg: 73.6912, aux.loss_ce: 0.0682, aux.acc_seg: 73.1530, loss: 0.2178 +2022-02-28 04:51:19,293 - mmseg - INFO - Iter [107350/160000] lr: 6.581e-06, eta: 3:39:02, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1647, decode.acc_seg: 74.6612, aux.loss_ce: 0.0741, aux.acc_seg: 74.0498, loss: 0.2389 +2022-02-28 04:51:33,885 - mmseg - INFO - Iter [107400/160000] lr: 6.575e-06, eta: 3:38:51, time: 0.292, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1621, decode.acc_seg: 75.3455, aux.loss_ce: 0.0736, aux.acc_seg: 74.6941, loss: 0.2357 +2022-02-28 04:51:46,155 - mmseg - INFO - Iter [107450/160000] lr: 6.569e-06, eta: 3:38:38, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1564, decode.acc_seg: 75.8599, aux.loss_ce: 0.0711, aux.acc_seg: 75.2710, loss: 0.2275 +2022-02-28 04:51:58,597 - mmseg - INFO - Iter [107500/160000] lr: 6.563e-06, eta: 3:38:25, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1645, decode.acc_seg: 74.7451, aux.loss_ce: 0.0756, aux.acc_seg: 74.0736, loss: 0.2401 +2022-02-28 04:52:10,747 - mmseg - INFO - Iter [107550/160000] lr: 6.556e-06, eta: 3:38:13, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1638, decode.acc_seg: 75.8415, aux.loss_ce: 0.0748, aux.acc_seg: 75.2242, loss: 0.2386 +2022-02-28 04:52:23,093 - mmseg - INFO - Iter [107600/160000] lr: 6.550e-06, eta: 3:38:00, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1562, decode.acc_seg: 76.9235, aux.loss_ce: 0.0711, aux.acc_seg: 76.3056, loss: 0.2273 +2022-02-28 04:52:35,479 - mmseg - INFO - Iter [107650/160000] lr: 6.544e-06, eta: 3:37:48, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1606, decode.acc_seg: 74.7805, aux.loss_ce: 0.0734, aux.acc_seg: 74.1061, loss: 0.2340 +2022-02-28 04:52:47,701 - mmseg - INFO - Iter [107700/160000] lr: 6.538e-06, eta: 3:37:35, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1593, decode.acc_seg: 76.7953, aux.loss_ce: 0.0723, aux.acc_seg: 76.1415, loss: 0.2315 +2022-02-28 04:52:59,890 - mmseg - INFO - Iter [107750/160000] lr: 6.531e-06, eta: 3:37:22, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1603, decode.acc_seg: 75.5422, aux.loss_ce: 0.0730, aux.acc_seg: 74.8748, loss: 0.2333 +2022-02-28 04:53:12,282 - mmseg - INFO - Iter [107800/160000] lr: 6.525e-06, eta: 3:37:10, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1553, decode.acc_seg: 73.7998, aux.loss_ce: 0.0711, aux.acc_seg: 73.1388, loss: 0.2264 +2022-02-28 04:53:24,605 - mmseg - INFO - Iter [107850/160000] lr: 6.519e-06, eta: 3:36:57, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1562, decode.acc_seg: 74.5129, aux.loss_ce: 0.0713, aux.acc_seg: 73.8502, loss: 0.2276 +2022-02-28 04:53:36,827 - mmseg - INFO - Iter [107900/160000] lr: 6.513e-06, eta: 3:36:45, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1594, decode.acc_seg: 76.3792, aux.loss_ce: 0.0723, aux.acc_seg: 75.7569, loss: 0.2317 +2022-02-28 04:53:49,048 - mmseg - INFO - Iter [107950/160000] lr: 6.506e-06, eta: 3:36:32, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1702, decode.acc_seg: 76.5014, aux.loss_ce: 0.0775, aux.acc_seg: 75.8913, loss: 0.2477 +2022-02-28 04:54:01,456 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 04:54:01,457 - mmseg - INFO - Iter [108000/160000] lr: 6.500e-06, eta: 3:36:20, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1614, decode.acc_seg: 75.0934, aux.loss_ce: 0.0740, aux.acc_seg: 74.5070, loss: 0.2354 +2022-02-28 04:54:13,885 - mmseg - INFO - Iter [108050/160000] lr: 6.494e-06, eta: 3:36:07, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1498, decode.acc_seg: 74.6542, aux.loss_ce: 0.0683, aux.acc_seg: 74.0127, loss: 0.2181 +2022-02-28 04:54:26,158 - mmseg - INFO - Iter [108100/160000] lr: 6.488e-06, eta: 3:35:55, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1688, decode.acc_seg: 76.4767, aux.loss_ce: 0.0761, aux.acc_seg: 75.9433, loss: 0.2449 +2022-02-28 04:54:38,441 - mmseg - INFO - Iter [108150/160000] lr: 6.481e-06, eta: 3:35:42, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1562, decode.acc_seg: 74.0248, aux.loss_ce: 0.0713, aux.acc_seg: 73.4618, loss: 0.2276 +2022-02-28 04:54:50,942 - mmseg - INFO - Iter [108200/160000] lr: 6.475e-06, eta: 3:35:30, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1568, decode.acc_seg: 75.4092, aux.loss_ce: 0.0703, aux.acc_seg: 74.8647, loss: 0.2271 +2022-02-28 04:55:03,254 - mmseg - INFO - Iter [108250/160000] lr: 6.469e-06, eta: 3:35:17, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1527, decode.acc_seg: 75.3664, aux.loss_ce: 0.0697, aux.acc_seg: 74.7969, loss: 0.2225 +2022-02-28 04:55:15,742 - mmseg - INFO - Iter [108300/160000] lr: 6.463e-06, eta: 3:35:05, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1503, decode.acc_seg: 74.6766, aux.loss_ce: 0.0689, aux.acc_seg: 74.1384, loss: 0.2192 +2022-02-28 04:55:27,914 - mmseg - INFO - Iter [108350/160000] lr: 6.456e-06, eta: 3:34:52, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1519, decode.acc_seg: 76.2674, aux.loss_ce: 0.0705, aux.acc_seg: 75.5495, loss: 0.2224 +2022-02-28 04:55:40,242 - mmseg - INFO - Iter [108400/160000] lr: 6.450e-06, eta: 3:34:39, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1682, decode.acc_seg: 75.3234, aux.loss_ce: 0.0756, aux.acc_seg: 74.6993, loss: 0.2438 +2022-02-28 04:55:52,939 - mmseg - INFO - Iter [108450/160000] lr: 6.444e-06, eta: 3:34:27, time: 0.254, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1601, decode.acc_seg: 77.2705, aux.loss_ce: 0.0726, aux.acc_seg: 76.6195, loss: 0.2327 +2022-02-28 04:56:05,180 - mmseg - INFO - Iter [108500/160000] lr: 6.438e-06, eta: 3:34:14, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1557, decode.acc_seg: 76.6590, aux.loss_ce: 0.0710, aux.acc_seg: 76.0341, loss: 0.2268 +2022-02-28 04:56:17,498 - mmseg - INFO - Iter [108550/160000] lr: 6.431e-06, eta: 3:34:02, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1515, decode.acc_seg: 75.3678, aux.loss_ce: 0.0694, aux.acc_seg: 74.7838, loss: 0.2209 +2022-02-28 04:56:29,804 - mmseg - INFO - Iter [108600/160000] lr: 6.425e-06, eta: 3:33:49, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1649, decode.acc_seg: 75.4108, aux.loss_ce: 0.0741, aux.acc_seg: 74.8633, loss: 0.2390 +2022-02-28 04:56:44,279 - mmseg - INFO - Iter [108650/160000] lr: 6.419e-06, eta: 3:33:38, time: 0.290, data_time: 0.049, memory: 56778, decode.loss_ce: 0.1581, decode.acc_seg: 75.8707, aux.loss_ce: 0.0725, aux.acc_seg: 75.1983, loss: 0.2306 +2022-02-28 04:56:56,620 - mmseg - INFO - Iter [108700/160000] lr: 6.413e-06, eta: 3:33:25, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1648, decode.acc_seg: 75.6979, aux.loss_ce: 0.0755, aux.acc_seg: 74.9881, loss: 0.2403 +2022-02-28 04:57:09,070 - mmseg - INFO - Iter [108750/160000] lr: 6.406e-06, eta: 3:33:13, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1574, decode.acc_seg: 75.7836, aux.loss_ce: 0.0710, aux.acc_seg: 75.2170, loss: 0.2284 +2022-02-28 04:57:21,351 - mmseg - INFO - Iter [108800/160000] lr: 6.400e-06, eta: 3:33:00, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1540, decode.acc_seg: 75.8437, aux.loss_ce: 0.0700, aux.acc_seg: 75.2719, loss: 0.2240 +2022-02-28 04:57:33,524 - mmseg - INFO - Iter [108850/160000] lr: 6.394e-06, eta: 3:32:47, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1562, decode.acc_seg: 75.8698, aux.loss_ce: 0.0714, aux.acc_seg: 75.2653, loss: 0.2276 +2022-02-28 04:57:45,853 - mmseg - INFO - Iter [108900/160000] lr: 6.388e-06, eta: 3:32:35, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1537, decode.acc_seg: 76.5634, aux.loss_ce: 0.0702, aux.acc_seg: 75.9565, loss: 0.2239 +2022-02-28 04:57:58,069 - mmseg - INFO - Iter [108950/160000] lr: 6.381e-06, eta: 3:32:22, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1547, decode.acc_seg: 74.9252, aux.loss_ce: 0.0706, aux.acc_seg: 74.3231, loss: 0.2254 +2022-02-28 04:58:10,319 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 04:58:10,320 - mmseg - INFO - Iter [109000/160000] lr: 6.375e-06, eta: 3:32:10, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1492, decode.acc_seg: 74.5571, aux.loss_ce: 0.0690, aux.acc_seg: 73.9394, loss: 0.2182 +2022-02-28 04:58:22,499 - mmseg - INFO - Iter [109050/160000] lr: 6.369e-06, eta: 3:31:57, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1597, decode.acc_seg: 75.2101, aux.loss_ce: 0.0730, aux.acc_seg: 74.5868, loss: 0.2327 +2022-02-28 04:58:34,737 - mmseg - INFO - Iter [109100/160000] lr: 6.363e-06, eta: 3:31:44, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1530, decode.acc_seg: 74.5060, aux.loss_ce: 0.0690, aux.acc_seg: 73.8898, loss: 0.2221 +2022-02-28 04:58:47,411 - mmseg - INFO - Iter [109150/160000] lr: 6.356e-06, eta: 3:31:32, time: 0.253, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1480, decode.acc_seg: 75.7604, aux.loss_ce: 0.0668, aux.acc_seg: 75.2728, loss: 0.2148 +2022-02-28 04:58:59,738 - mmseg - INFO - Iter [109200/160000] lr: 6.350e-06, eta: 3:31:20, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1618, decode.acc_seg: 76.2717, aux.loss_ce: 0.0750, aux.acc_seg: 75.5647, loss: 0.2368 +2022-02-28 04:59:12,360 - mmseg - INFO - Iter [109250/160000] lr: 6.344e-06, eta: 3:31:07, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1523, decode.acc_seg: 75.0593, aux.loss_ce: 0.0693, aux.acc_seg: 74.4933, loss: 0.2216 +2022-02-28 04:59:24,760 - mmseg - INFO - Iter [109300/160000] lr: 6.338e-06, eta: 3:30:55, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1472, decode.acc_seg: 75.5577, aux.loss_ce: 0.0674, aux.acc_seg: 74.9262, loss: 0.2147 +2022-02-28 04:59:37,040 - mmseg - INFO - Iter [109350/160000] lr: 6.331e-06, eta: 3:30:42, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1586, decode.acc_seg: 75.8972, aux.loss_ce: 0.0732, aux.acc_seg: 75.1454, loss: 0.2319 +2022-02-28 04:59:49,219 - mmseg - INFO - Iter [109400/160000] lr: 6.325e-06, eta: 3:30:29, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1621, decode.acc_seg: 75.5952, aux.loss_ce: 0.0737, aux.acc_seg: 74.9894, loss: 0.2358 +2022-02-28 05:00:01,392 - mmseg - INFO - Iter [109450/160000] lr: 6.319e-06, eta: 3:30:17, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1545, decode.acc_seg: 75.2831, aux.loss_ce: 0.0710, aux.acc_seg: 74.6277, loss: 0.2255 +2022-02-28 05:00:13,809 - mmseg - INFO - Iter [109500/160000] lr: 6.313e-06, eta: 3:30:04, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1551, decode.acc_seg: 73.7689, aux.loss_ce: 0.0699, aux.acc_seg: 73.2064, loss: 0.2250 +2022-02-28 05:00:26,037 - mmseg - INFO - Iter [109550/160000] lr: 6.306e-06, eta: 3:29:52, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1617, decode.acc_seg: 74.6544, aux.loss_ce: 0.0734, aux.acc_seg: 74.0590, loss: 0.2351 +2022-02-28 05:00:38,240 - mmseg - INFO - Iter [109600/160000] lr: 6.300e-06, eta: 3:29:39, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1581, decode.acc_seg: 74.4962, aux.loss_ce: 0.0718, aux.acc_seg: 73.9741, loss: 0.2299 +2022-02-28 05:00:50,445 - mmseg - INFO - Iter [109650/160000] lr: 6.294e-06, eta: 3:29:26, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1578, decode.acc_seg: 75.3532, aux.loss_ce: 0.0720, aux.acc_seg: 74.7050, loss: 0.2298 +2022-02-28 05:01:02,688 - mmseg - INFO - Iter [109700/160000] lr: 6.288e-06, eta: 3:29:14, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1560, decode.acc_seg: 76.1800, aux.loss_ce: 0.0701, aux.acc_seg: 75.6642, loss: 0.2262 +2022-02-28 05:01:14,976 - mmseg - INFO - Iter [109750/160000] lr: 6.281e-06, eta: 3:29:01, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1671, decode.acc_seg: 75.3412, aux.loss_ce: 0.0763, aux.acc_seg: 74.7200, loss: 0.2434 +2022-02-28 05:01:27,268 - mmseg - INFO - Iter [109800/160000] lr: 6.275e-06, eta: 3:28:49, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1610, decode.acc_seg: 75.6344, aux.loss_ce: 0.0737, aux.acc_seg: 75.0391, loss: 0.2347 +2022-02-28 05:01:39,515 - mmseg - INFO - Iter [109850/160000] lr: 6.269e-06, eta: 3:28:36, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1554, decode.acc_seg: 75.6638, aux.loss_ce: 0.0707, aux.acc_seg: 75.0461, loss: 0.2261 +2022-02-28 05:01:54,099 - mmseg - INFO - Iter [109900/160000] lr: 6.263e-06, eta: 3:28:25, time: 0.292, data_time: 0.048, memory: 56778, decode.loss_ce: 0.1721, decode.acc_seg: 74.8983, aux.loss_ce: 0.0773, aux.acc_seg: 74.3374, loss: 0.2494 +2022-02-28 05:02:06,484 - mmseg - INFO - Iter [109950/160000] lr: 6.256e-06, eta: 3:28:12, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1590, decode.acc_seg: 76.1477, aux.loss_ce: 0.0728, aux.acc_seg: 75.4584, loss: 0.2318 +2022-02-28 05:02:18,808 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 05:02:18,808 - mmseg - INFO - Iter [110000/160000] lr: 6.250e-06, eta: 3:28:00, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1546, decode.acc_seg: 75.6305, aux.loss_ce: 0.0700, aux.acc_seg: 75.0933, loss: 0.2246 +2022-02-28 05:02:31,235 - mmseg - INFO - Iter [110050/160000] lr: 6.244e-06, eta: 3:27:47, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1510, decode.acc_seg: 74.1417, aux.loss_ce: 0.0683, aux.acc_seg: 73.5928, loss: 0.2192 +2022-02-28 05:02:43,684 - mmseg - INFO - Iter [110100/160000] lr: 6.238e-06, eta: 3:27:35, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1539, decode.acc_seg: 74.7795, aux.loss_ce: 0.0704, aux.acc_seg: 74.1728, loss: 0.2244 +2022-02-28 05:02:56,038 - mmseg - INFO - Iter [110150/160000] lr: 6.231e-06, eta: 3:27:22, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1564, decode.acc_seg: 76.2601, aux.loss_ce: 0.0712, aux.acc_seg: 75.6473, loss: 0.2276 +2022-02-28 05:03:08,529 - mmseg - INFO - Iter [110200/160000] lr: 6.225e-06, eta: 3:27:10, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1601, decode.acc_seg: 74.6527, aux.loss_ce: 0.0724, aux.acc_seg: 74.0655, loss: 0.2326 +2022-02-28 05:03:20,872 - mmseg - INFO - Iter [110250/160000] lr: 6.219e-06, eta: 3:26:57, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1494, decode.acc_seg: 75.7567, aux.loss_ce: 0.0678, aux.acc_seg: 75.1716, loss: 0.2172 +2022-02-28 05:03:33,331 - mmseg - INFO - Iter [110300/160000] lr: 6.213e-06, eta: 3:26:45, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1686, decode.acc_seg: 75.9676, aux.loss_ce: 0.0779, aux.acc_seg: 75.2684, loss: 0.2466 +2022-02-28 05:03:45,495 - mmseg - INFO - Iter [110350/160000] lr: 6.206e-06, eta: 3:26:32, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1503, decode.acc_seg: 75.5017, aux.loss_ce: 0.0686, aux.acc_seg: 74.8903, loss: 0.2189 +2022-02-28 05:03:57,688 - mmseg - INFO - Iter [110400/160000] lr: 6.200e-06, eta: 3:26:19, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1498, decode.acc_seg: 76.6259, aux.loss_ce: 0.0684, aux.acc_seg: 76.0398, loss: 0.2181 +2022-02-28 05:04:10,046 - mmseg - INFO - Iter [110450/160000] lr: 6.194e-06, eta: 3:26:07, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1582, decode.acc_seg: 75.5288, aux.loss_ce: 0.0716, aux.acc_seg: 74.9899, loss: 0.2298 +2022-02-28 05:04:22,490 - mmseg - INFO - Iter [110500/160000] lr: 6.188e-06, eta: 3:25:54, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1498, decode.acc_seg: 76.3386, aux.loss_ce: 0.0685, aux.acc_seg: 75.6917, loss: 0.2183 +2022-02-28 05:04:34,706 - mmseg - INFO - Iter [110550/160000] lr: 6.181e-06, eta: 3:25:42, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1558, decode.acc_seg: 76.6956, aux.loss_ce: 0.0724, aux.acc_seg: 76.0774, loss: 0.2282 +2022-02-28 05:04:47,074 - mmseg - INFO - Iter [110600/160000] lr: 6.175e-06, eta: 3:25:29, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1499, decode.acc_seg: 74.9859, aux.loss_ce: 0.0693, aux.acc_seg: 74.3609, loss: 0.2193 +2022-02-28 05:04:59,275 - mmseg - INFO - Iter [110650/160000] lr: 6.169e-06, eta: 3:25:17, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1506, decode.acc_seg: 75.7129, aux.loss_ce: 0.0691, aux.acc_seg: 75.1078, loss: 0.2197 +2022-02-28 05:05:11,538 - mmseg - INFO - Iter [110700/160000] lr: 6.163e-06, eta: 3:25:04, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1625, decode.acc_seg: 75.7610, aux.loss_ce: 0.0736, aux.acc_seg: 75.1160, loss: 0.2361 +2022-02-28 05:05:23,944 - mmseg - INFO - Iter [110750/160000] lr: 6.156e-06, eta: 3:24:51, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1541, decode.acc_seg: 76.2907, aux.loss_ce: 0.0702, aux.acc_seg: 75.7057, loss: 0.2242 +2022-02-28 05:05:36,222 - mmseg - INFO - Iter [110800/160000] lr: 6.150e-06, eta: 3:24:39, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1574, decode.acc_seg: 75.2380, aux.loss_ce: 0.0724, aux.acc_seg: 74.5791, loss: 0.2298 +2022-02-28 05:05:48,535 - mmseg - INFO - Iter [110850/160000] lr: 6.144e-06, eta: 3:24:26, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1525, decode.acc_seg: 75.6120, aux.loss_ce: 0.0697, aux.acc_seg: 75.0037, loss: 0.2222 +2022-02-28 05:06:00,926 - mmseg - INFO - Iter [110900/160000] lr: 6.138e-06, eta: 3:24:14, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1587, decode.acc_seg: 75.9882, aux.loss_ce: 0.0727, aux.acc_seg: 75.2766, loss: 0.2313 +2022-02-28 05:06:13,194 - mmseg - INFO - Iter [110950/160000] lr: 6.131e-06, eta: 3:24:01, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1504, decode.acc_seg: 75.5948, aux.loss_ce: 0.0684, aux.acc_seg: 74.9955, loss: 0.2189 +2022-02-28 05:06:25,707 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 05:06:25,707 - mmseg - INFO - Iter [111000/160000] lr: 6.125e-06, eta: 3:23:49, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1570, decode.acc_seg: 76.1398, aux.loss_ce: 0.0717, aux.acc_seg: 75.5645, loss: 0.2287 +2022-02-28 05:06:38,113 - mmseg - INFO - Iter [111050/160000] lr: 6.119e-06, eta: 3:23:36, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1680, decode.acc_seg: 76.5347, aux.loss_ce: 0.0758, aux.acc_seg: 75.9832, loss: 0.2439 +2022-02-28 05:06:50,380 - mmseg - INFO - Iter [111100/160000] lr: 6.113e-06, eta: 3:23:24, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1591, decode.acc_seg: 75.2112, aux.loss_ce: 0.0723, aux.acc_seg: 74.5973, loss: 0.2315 +2022-02-28 05:07:04,854 - mmseg - INFO - Iter [111150/160000] lr: 6.106e-06, eta: 3:23:12, time: 0.290, data_time: 0.049, memory: 56778, decode.loss_ce: 0.1505, decode.acc_seg: 75.4314, aux.loss_ce: 0.0690, aux.acc_seg: 74.8136, loss: 0.2195 +2022-02-28 05:07:17,041 - mmseg - INFO - Iter [111200/160000] lr: 6.100e-06, eta: 3:22:59, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1463, decode.acc_seg: 76.1324, aux.loss_ce: 0.0667, aux.acc_seg: 75.5491, loss: 0.2130 +2022-02-28 05:07:29,247 - mmseg - INFO - Iter [111250/160000] lr: 6.094e-06, eta: 3:22:47, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1519, decode.acc_seg: 76.6835, aux.loss_ce: 0.0692, aux.acc_seg: 76.0353, loss: 0.2211 +2022-02-28 05:07:41,545 - mmseg - INFO - Iter [111300/160000] lr: 6.088e-06, eta: 3:22:34, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1565, decode.acc_seg: 75.1191, aux.loss_ce: 0.0724, aux.acc_seg: 74.4638, loss: 0.2289 +2022-02-28 05:07:53,860 - mmseg - INFO - Iter [111350/160000] lr: 6.081e-06, eta: 3:22:22, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1580, decode.acc_seg: 75.0363, aux.loss_ce: 0.0716, aux.acc_seg: 74.4265, loss: 0.2296 +2022-02-28 05:08:06,097 - mmseg - INFO - Iter [111400/160000] lr: 6.075e-06, eta: 3:22:09, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1543, decode.acc_seg: 74.3755, aux.loss_ce: 0.0703, aux.acc_seg: 73.7577, loss: 0.2245 +2022-02-28 05:08:18,333 - mmseg - INFO - Iter [111450/160000] lr: 6.069e-06, eta: 3:21:57, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1485, decode.acc_seg: 75.1058, aux.loss_ce: 0.0686, aux.acc_seg: 74.4432, loss: 0.2170 +2022-02-28 05:08:30,746 - mmseg - INFO - Iter [111500/160000] lr: 6.063e-06, eta: 3:21:44, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1624, decode.acc_seg: 76.6087, aux.loss_ce: 0.0737, aux.acc_seg: 76.0597, loss: 0.2361 +2022-02-28 05:08:43,177 - mmseg - INFO - Iter [111550/160000] lr: 6.056e-06, eta: 3:21:32, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1539, decode.acc_seg: 75.3777, aux.loss_ce: 0.0701, aux.acc_seg: 74.8183, loss: 0.2240 +2022-02-28 05:08:55,375 - mmseg - INFO - Iter [111600/160000] lr: 6.050e-06, eta: 3:21:19, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1547, decode.acc_seg: 76.1425, aux.loss_ce: 0.0722, aux.acc_seg: 75.4103, loss: 0.2268 +2022-02-28 05:09:07,666 - mmseg - INFO - Iter [111650/160000] lr: 6.044e-06, eta: 3:21:06, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1573, decode.acc_seg: 75.7246, aux.loss_ce: 0.0714, aux.acc_seg: 75.0917, loss: 0.2287 +2022-02-28 05:09:20,058 - mmseg - INFO - Iter [111700/160000] lr: 6.038e-06, eta: 3:20:54, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1470, decode.acc_seg: 75.2526, aux.loss_ce: 0.0668, aux.acc_seg: 74.7200, loss: 0.2138 +2022-02-28 05:09:32,298 - mmseg - INFO - Iter [111750/160000] lr: 6.031e-06, eta: 3:20:41, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1573, decode.acc_seg: 75.0374, aux.loss_ce: 0.0722, aux.acc_seg: 74.3435, loss: 0.2295 +2022-02-28 05:09:44,499 - mmseg - INFO - Iter [111800/160000] lr: 6.025e-06, eta: 3:20:29, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1529, decode.acc_seg: 75.7413, aux.loss_ce: 0.0694, aux.acc_seg: 75.1506, loss: 0.2223 +2022-02-28 05:09:56,737 - mmseg - INFO - Iter [111850/160000] lr: 6.019e-06, eta: 3:20:16, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1563, decode.acc_seg: 75.4629, aux.loss_ce: 0.0719, aux.acc_seg: 74.8897, loss: 0.2282 +2022-02-28 05:10:09,069 - mmseg - INFO - Iter [111900/160000] lr: 6.013e-06, eta: 3:20:04, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1463, decode.acc_seg: 74.3954, aux.loss_ce: 0.0674, aux.acc_seg: 73.8310, loss: 0.2137 +2022-02-28 05:10:21,338 - mmseg - INFO - Iter [111950/160000] lr: 6.006e-06, eta: 3:19:51, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1581, decode.acc_seg: 75.3684, aux.loss_ce: 0.0727, aux.acc_seg: 74.7223, loss: 0.2308 +2022-02-28 05:10:33,542 - mmseg - INFO - Saving checkpoint at 112000 iterations +2022-02-28 05:10:36,442 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 05:10:36,442 - mmseg - INFO - Iter [112000/160000] lr: 6.000e-06, eta: 3:19:40, time: 0.302, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1433, decode.acc_seg: 76.5544, aux.loss_ce: 0.0648, aux.acc_seg: 76.0040, loss: 0.2081 +2022-02-28 05:10:56,868 - mmseg - INFO - per class results: +2022-02-28 05:10:56,874 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 78.14 | 89.06 | +| building | 83.32 | 93.94 | +| sky | 94.49 | 97.87 | +| floor | 81.49 | 91.02 | +| tree | 74.79 | 87.66 | +| ceiling | 84.12 | 92.41 | +| road | 83.66 | 90.45 | +| bed | 89.79 | 96.52 | +| windowpane | 63.17 | 78.27 | +| grass | 68.33 | 80.93 | +| cabinet | 62.86 | 73.05 | +| sidewalk | 68.92 | 82.82 | +| person | 82.28 | 93.65 | +| earth | 37.56 | 53.62 | +| door | 54.1 | 69.73 | +| table | 63.88 | 80.2 | +| mountain | 57.43 | 72.04 | +| plant | 50.01 | 62.07 | +| curtain | 75.48 | 87.77 | +| chair | 59.87 | 72.92 | +| car | 83.28 | 92.47 | +| water | 61.88 | 76.63 | +| painting | 75.68 | 88.21 | +| sofa | 70.52 | 86.93 | +| shelf | 44.57 | 60.59 | +| house | 36.73 | 41.32 | +| sea | 67.51 | 82.29 | +| mirror | 67.89 | 73.9 | +| rug | 60.45 | 71.62 | +| field | 30.29 | 42.21 | +| armchair | 45.53 | 62.69 | +| seat | 60.8 | 81.05 | +| fence | 46.5 | 60.53 | +| desk | 49.41 | 69.1 | +| rock | 39.58 | 64.44 | +| wardrobe | 50.09 | 67.03 | +| lamp | 66.07 | 78.11 | +| bathtub | 82.4 | 84.66 | +| railing | 34.37 | 44.68 | +| cushion | 60.07 | 73.74 | +| base | 30.7 | 42.68 | +| box | 26.99 | 34.7 | +| column | 44.51 | 53.53 | +| signboard | 36.62 | 52.26 | +| chest of drawers | 37.34 | 59.37 | +| counter | 25.33 | 30.1 | +| sand | 52.12 | 73.76 | +| sink | 74.26 | 83.44 | +| skyscraper | 54.69 | 68.97 | +| fireplace | 78.2 | 91.34 | +| refrigerator | 77.74 | 85.81 | +| grandstand | 43.7 | 75.99 | +| path | 28.74 | 43.61 | +| stairs | 22.98 | 27.15 | +| runway | 67.86 | 88.25 | +| case | 48.03 | 60.96 | +| pool table | 93.71 | 96.3 | +| pillow | 58.56 | 69.34 | +| screen door | 75.1 | 79.06 | +| stairway | 25.53 | 37.0 | +| river | 12.66 | 28.88 | +| bridge | 65.7 | 76.24 | +| bookcase | 45.56 | 64.16 | +| blind | 38.82 | 42.51 | +| coffee table | 66.07 | 81.88 | +| toilet | 85.82 | 91.12 | +| flower | 37.49 | 48.39 | +| book | 49.41 | 69.78 | +| hill | 14.74 | 23.24 | +| bench | 42.67 | 51.48 | +| countertop | 60.88 | 79.58 | +| stove | 78.18 | 84.71 | +| palm | 51.06 | 74.97 | +| kitchen island | 47.5 | 77.43 | +| computer | 72.5 | 82.13 | +| swivel chair | 44.46 | 57.36 | +| boat | 44.55 | 50.51 | +| bar | 32.59 | 39.35 | +| arcade machine | 36.42 | 38.57 | +| hovel | 58.86 | 65.46 | +| bus | 87.72 | 95.39 | +| towel | 67.98 | 77.89 | +| light | 56.88 | 65.8 | +| truck | 31.94 | 42.74 | +| tower | 29.63 | 44.44 | +| chandelier | 69.26 | 80.27 | +| awning | 29.71 | 32.34 | +| streetlight | 29.76 | 37.64 | +| booth | 48.83 | 57.16 | +| television receiver | 68.56 | 81.33 | +| airplane | 59.36 | 65.57 | +| dirt track | 0.06 | 0.26 | +| apparel | 35.87 | 48.55 | +| pole | 27.17 | 36.82 | +| land | 1.25 | 2.08 | +| bannister | 16.73 | 22.43 | +| escalator | 43.02 | 61.64 | +| ottoman | 55.58 | 68.45 | +| bottle | 38.25 | 53.9 | +| buffet | 35.67 | 39.54 | +| poster | 31.1 | 43.35 | +| stage | 19.57 | 26.91 | +| van | 37.77 | 52.15 | +| ship | 25.26 | 37.56 | +| fountain | 25.38 | 25.88 | +| conveyer belt | 74.33 | 92.07 | +| canopy | 33.62 | 45.72 | +| washer | 74.85 | 76.09 | +| plaything | 28.05 | 37.97 | +| swimming pool | 57.61 | 63.42 | +| stool | 48.36 | 60.82 | +| barrel | 46.36 | 73.51 | +| basket | 35.67 | 47.58 | +| waterfall | 57.79 | 64.26 | +| tent | 93.92 | 98.06 | +| bag | 16.68 | 21.01 | +| minibike | 69.4 | 84.73 | +| cradle | 85.08 | 97.72 | +| oven | 54.41 | 67.34 | +| ball | 52.29 | 60.06 | +| food | 48.84 | 58.56 | +| step | 9.16 | 10.28 | +| tank | 51.62 | 53.79 | +| trade name | 25.85 | 30.43 | +| microwave | 82.48 | 92.1 | +| pot | 44.97 | 52.66 | +| animal | 59.62 | 62.7 | +| bicycle | 58.42 | 77.82 | +| lake | 57.9 | 63.64 | +| dishwasher | 65.52 | 71.89 | +| screen | 62.82 | 86.49 | +| blanket | 22.98 | 28.81 | +| sculpture | 69.75 | 85.31 | +| hood | 62.14 | 69.99 | +| sconce | 49.86 | 60.15 | +| vase | 42.2 | 61.53 | +| traffic light | 33.5 | 51.87 | +| tray | 11.3 | 26.4 | +| ashcan | 44.28 | 59.68 | +| fan | 65.49 | 78.05 | +| pier | 41.33 | 60.15 | +| crt screen | 7.07 | 8.58 | +| plate | 51.9 | 77.12 | +| monitor | 53.9 | 73.73 | +| bulletin board | 20.37 | 22.59 | +| shower | 1.59 | 1.98 | +| radiator | 66.43 | 73.34 | +| glass | 13.45 | 14.67 | +| clock | 29.49 | 37.48 | +| flag | 56.71 | 62.58 | ++---------------------+-------+-------+ +2022-02-28 05:10:56,874 - mmseg - INFO - Summary: +2022-02-28 05:10:56,874 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 83.77 | 50.98 | 62.23 | ++-------+-------+-------+ +2022-02-28 05:10:56,880 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 05:10:56,880 - mmseg - INFO - Iter(val) [250] aAcc: 0.8377, mIoU: 0.5098, mAcc: 0.6223, IoU.wall: 0.7814, IoU.building: 0.8332, IoU.sky: 0.9449, IoU.floor: 0.8149, IoU.tree: 0.7479, IoU.ceiling: 0.8412, IoU.road: 0.8366, IoU.bed : 0.8979, IoU.windowpane: 0.6317, IoU.grass: 0.6833, IoU.cabinet: 0.6286, IoU.sidewalk: 0.6892, IoU.person: 0.8228, IoU.earth: 0.3756, IoU.door: 0.5410, IoU.table: 0.6388, IoU.mountain: 0.5743, IoU.plant: 0.5001, IoU.curtain: 0.7548, IoU.chair: 0.5987, IoU.car: 0.8328, IoU.water: 0.6188, IoU.painting: 0.7568, IoU.sofa: 0.7052, IoU.shelf: 0.4457, IoU.house: 0.3673, IoU.sea: 0.6751, IoU.mirror: 0.6789, IoU.rug: 0.6045, IoU.field: 0.3029, IoU.armchair: 0.4553, IoU.seat: 0.6080, IoU.fence: 0.4650, IoU.desk: 0.4941, IoU.rock: 0.3958, IoU.wardrobe: 0.5009, IoU.lamp: 0.6607, IoU.bathtub: 0.8240, IoU.railing: 0.3437, IoU.cushion: 0.6007, IoU.base: 0.3070, IoU.box: 0.2699, IoU.column: 0.4451, IoU.signboard: 0.3662, IoU.chest of drawers: 0.3734, IoU.counter: 0.2533, IoU.sand: 0.5212, IoU.sink: 0.7426, IoU.skyscraper: 0.5469, IoU.fireplace: 0.7820, IoU.refrigerator: 0.7774, IoU.grandstand: 0.4370, IoU.path: 0.2874, IoU.stairs: 0.2298, IoU.runway: 0.6786, IoU.case: 0.4803, IoU.pool table: 0.9371, IoU.pillow: 0.5856, IoU.screen door: 0.7510, IoU.stairway: 0.2553, IoU.river: 0.1266, IoU.bridge: 0.6570, IoU.bookcase: 0.4556, IoU.blind: 0.3882, IoU.coffee table: 0.6607, IoU.toilet: 0.8582, IoU.flower: 0.3749, IoU.book: 0.4941, IoU.hill: 0.1474, IoU.bench: 0.4267, IoU.countertop: 0.6088, IoU.stove: 0.7818, IoU.palm: 0.5106, IoU.kitchen island: 0.4750, IoU.computer: 0.7250, IoU.swivel chair: 0.4446, IoU.boat: 0.4455, IoU.bar: 0.3259, IoU.arcade machine: 0.3642, IoU.hovel: 0.5886, IoU.bus: 0.8772, IoU.towel: 0.6798, IoU.light: 0.5688, IoU.truck: 0.3194, IoU.tower: 0.2963, IoU.chandelier: 0.6926, IoU.awning: 0.2971, IoU.streetlight: 0.2976, IoU.booth: 0.4883, IoU.television receiver: 0.6856, IoU.airplane: 0.5936, IoU.dirt track: 0.0006, IoU.apparel: 0.3587, IoU.pole: 0.2717, IoU.land: 0.0125, IoU.bannister: 0.1673, IoU.escalator: 0.4302, IoU.ottoman: 0.5558, IoU.bottle: 0.3825, IoU.buffet: 0.3567, IoU.poster: 0.3110, IoU.stage: 0.1957, IoU.van: 0.3777, IoU.ship: 0.2526, IoU.fountain: 0.2538, IoU.conveyer belt: 0.7433, IoU.canopy: 0.3362, IoU.washer: 0.7485, IoU.plaything: 0.2805, IoU.swimming pool: 0.5761, IoU.stool: 0.4836, IoU.barrel: 0.4636, IoU.basket: 0.3567, IoU.waterfall: 0.5779, IoU.tent: 0.9392, IoU.bag: 0.1668, IoU.minibike: 0.6940, IoU.cradle: 0.8508, IoU.oven: 0.5441, IoU.ball: 0.5229, IoU.food: 0.4884, IoU.step: 0.0916, IoU.tank: 0.5162, IoU.trade name: 0.2585, IoU.microwave: 0.8248, IoU.pot: 0.4497, IoU.animal: 0.5962, IoU.bicycle: 0.5842, IoU.lake: 0.5790, IoU.dishwasher: 0.6552, IoU.screen: 0.6282, IoU.blanket: 0.2298, IoU.sculpture: 0.6975, IoU.hood: 0.6214, IoU.sconce: 0.4986, IoU.vase: 0.4220, IoU.traffic light: 0.3350, IoU.tray: 0.1130, IoU.ashcan: 0.4428, IoU.fan: 0.6549, IoU.pier: 0.4133, IoU.crt screen: 0.0707, IoU.plate: 0.5190, IoU.monitor: 0.5390, IoU.bulletin board: 0.2037, IoU.shower: 0.0159, IoU.radiator: 0.6643, IoU.glass: 0.1345, IoU.clock: 0.2949, IoU.flag: 0.5671, Acc.wall: 0.8906, Acc.building: 0.9394, Acc.sky: 0.9787, Acc.floor: 0.9102, Acc.tree: 0.8766, Acc.ceiling: 0.9241, Acc.road: 0.9045, Acc.bed : 0.9652, Acc.windowpane: 0.7827, Acc.grass: 0.8093, Acc.cabinet: 0.7305, Acc.sidewalk: 0.8282, Acc.person: 0.9365, Acc.earth: 0.5362, Acc.door: 0.6973, Acc.table: 0.8020, Acc.mountain: 0.7204, Acc.plant: 0.6207, Acc.curtain: 0.8777, Acc.chair: 0.7292, Acc.car: 0.9247, Acc.water: 0.7663, Acc.painting: 0.8821, Acc.sofa: 0.8693, Acc.shelf: 0.6059, Acc.house: 0.4132, Acc.sea: 0.8229, Acc.mirror: 0.7390, Acc.rug: 0.7162, Acc.field: 0.4221, Acc.armchair: 0.6269, Acc.seat: 0.8105, Acc.fence: 0.6053, Acc.desk: 0.6910, Acc.rock: 0.6444, Acc.wardrobe: 0.6703, Acc.lamp: 0.7811, Acc.bathtub: 0.8466, Acc.railing: 0.4468, Acc.cushion: 0.7374, Acc.base: 0.4268, Acc.box: 0.3470, Acc.column: 0.5353, Acc.signboard: 0.5226, Acc.chest of drawers: 0.5937, Acc.counter: 0.3010, Acc.sand: 0.7376, Acc.sink: 0.8344, Acc.skyscraper: 0.6897, Acc.fireplace: 0.9134, Acc.refrigerator: 0.8581, Acc.grandstand: 0.7599, Acc.path: 0.4361, Acc.stairs: 0.2715, Acc.runway: 0.8825, Acc.case: 0.6096, Acc.pool table: 0.9630, Acc.pillow: 0.6934, Acc.screen door: 0.7906, Acc.stairway: 0.3700, Acc.river: 0.2888, Acc.bridge: 0.7624, Acc.bookcase: 0.6416, Acc.blind: 0.4251, Acc.coffee table: 0.8188, Acc.toilet: 0.9112, Acc.flower: 0.4839, Acc.book: 0.6978, Acc.hill: 0.2324, Acc.bench: 0.5148, Acc.countertop: 0.7958, Acc.stove: 0.8471, Acc.palm: 0.7497, Acc.kitchen island: 0.7743, Acc.computer: 0.8213, Acc.swivel chair: 0.5736, Acc.boat: 0.5051, Acc.bar: 0.3935, Acc.arcade machine: 0.3857, Acc.hovel: 0.6546, Acc.bus: 0.9539, Acc.towel: 0.7789, Acc.light: 0.6580, Acc.truck: 0.4274, Acc.tower: 0.4444, Acc.chandelier: 0.8027, Acc.awning: 0.3234, Acc.streetlight: 0.3764, Acc.booth: 0.5716, Acc.television receiver: 0.8133, Acc.airplane: 0.6557, Acc.dirt track: 0.0026, Acc.apparel: 0.4855, Acc.pole: 0.3682, Acc.land: 0.0208, Acc.bannister: 0.2243, Acc.escalator: 0.6164, Acc.ottoman: 0.6845, Acc.bottle: 0.5390, Acc.buffet: 0.3954, Acc.poster: 0.4335, Acc.stage: 0.2691, Acc.van: 0.5215, Acc.ship: 0.3756, Acc.fountain: 0.2588, Acc.conveyer belt: 0.9207, Acc.canopy: 0.4572, Acc.washer: 0.7609, Acc.plaything: 0.3797, Acc.swimming pool: 0.6342, Acc.stool: 0.6082, Acc.barrel: 0.7351, Acc.basket: 0.4758, Acc.waterfall: 0.6426, Acc.tent: 0.9806, Acc.bag: 0.2101, Acc.minibike: 0.8473, Acc.cradle: 0.9772, Acc.oven: 0.6734, Acc.ball: 0.6006, Acc.food: 0.5856, Acc.step: 0.1028, Acc.tank: 0.5379, Acc.trade name: 0.3043, Acc.microwave: 0.9210, Acc.pot: 0.5266, Acc.animal: 0.6270, Acc.bicycle: 0.7782, Acc.lake: 0.6364, Acc.dishwasher: 0.7189, Acc.screen: 0.8649, Acc.blanket: 0.2881, Acc.sculpture: 0.8531, Acc.hood: 0.6999, Acc.sconce: 0.6015, Acc.vase: 0.6153, Acc.traffic light: 0.5187, Acc.tray: 0.2640, Acc.ashcan: 0.5968, Acc.fan: 0.7805, Acc.pier: 0.6015, Acc.crt screen: 0.0858, Acc.plate: 0.7712, Acc.monitor: 0.7373, Acc.bulletin board: 0.2259, Acc.shower: 0.0198, Acc.radiator: 0.7334, Acc.glass: 0.1467, Acc.clock: 0.3748, Acc.flag: 0.6258 +2022-02-28 05:11:09,173 - mmseg - INFO - Iter [112050/160000] lr: 5.994e-06, eta: 3:19:36, time: 0.655, data_time: 0.412, memory: 56778, decode.loss_ce: 0.1550, decode.acc_seg: 75.5662, aux.loss_ce: 0.0713, aux.acc_seg: 74.9317, loss: 0.2263 +2022-02-28 05:11:21,451 - mmseg - INFO - Iter [112100/160000] lr: 5.988e-06, eta: 3:19:23, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1509, decode.acc_seg: 76.6383, aux.loss_ce: 0.0692, aux.acc_seg: 76.0361, loss: 0.2201 +2022-02-28 05:11:33,741 - mmseg - INFO - Iter [112150/160000] lr: 5.981e-06, eta: 3:19:11, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1676, decode.acc_seg: 74.7880, aux.loss_ce: 0.0764, aux.acc_seg: 74.1438, loss: 0.2441 +2022-02-28 05:11:46,142 - mmseg - INFO - Iter [112200/160000] lr: 5.975e-06, eta: 3:18:58, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1580, decode.acc_seg: 75.1100, aux.loss_ce: 0.0716, aux.acc_seg: 74.5186, loss: 0.2296 +2022-02-28 05:11:58,472 - mmseg - INFO - Iter [112250/160000] lr: 5.969e-06, eta: 3:18:46, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1565, decode.acc_seg: 75.2732, aux.loss_ce: 0.0721, aux.acc_seg: 74.6037, loss: 0.2286 +2022-02-28 05:12:10,744 - mmseg - INFO - Iter [112300/160000] lr: 5.963e-06, eta: 3:18:33, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1503, decode.acc_seg: 76.2966, aux.loss_ce: 0.0685, aux.acc_seg: 75.7618, loss: 0.2188 +2022-02-28 05:12:23,226 - mmseg - INFO - Iter [112350/160000] lr: 5.956e-06, eta: 3:18:21, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1536, decode.acc_seg: 75.4876, aux.loss_ce: 0.0702, aux.acc_seg: 74.8432, loss: 0.2238 +2022-02-28 05:12:35,456 - mmseg - INFO - Iter [112400/160000] lr: 5.950e-06, eta: 3:18:08, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1634, decode.acc_seg: 75.4404, aux.loss_ce: 0.0747, aux.acc_seg: 74.7980, loss: 0.2381 +2022-02-28 05:12:50,049 - mmseg - INFO - Iter [112450/160000] lr: 5.944e-06, eta: 3:17:56, time: 0.292, data_time: 0.047, memory: 56778, decode.loss_ce: 0.1431, decode.acc_seg: 74.6876, aux.loss_ce: 0.0658, aux.acc_seg: 74.0956, loss: 0.2090 +2022-02-28 05:13:02,241 - mmseg - INFO - Iter [112500/160000] lr: 5.938e-06, eta: 3:17:44, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1555, decode.acc_seg: 74.1116, aux.loss_ce: 0.0711, aux.acc_seg: 73.4740, loss: 0.2266 +2022-02-28 05:13:14,386 - mmseg - INFO - Iter [112550/160000] lr: 5.931e-06, eta: 3:17:31, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1566, decode.acc_seg: 76.7724, aux.loss_ce: 0.0715, aux.acc_seg: 76.1229, loss: 0.2281 +2022-02-28 05:13:26,606 - mmseg - INFO - Iter [112600/160000] lr: 5.925e-06, eta: 3:17:19, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1648, decode.acc_seg: 75.7780, aux.loss_ce: 0.0744, aux.acc_seg: 75.1321, loss: 0.2391 +2022-02-28 05:13:38,725 - mmseg - INFO - Iter [112650/160000] lr: 5.919e-06, eta: 3:17:06, time: 0.242, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1623, decode.acc_seg: 74.6518, aux.loss_ce: 0.0736, aux.acc_seg: 74.0484, loss: 0.2359 +2022-02-28 05:13:50,943 - mmseg - INFO - Iter [112700/160000] lr: 5.913e-06, eta: 3:16:53, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1658, decode.acc_seg: 76.5329, aux.loss_ce: 0.0748, aux.acc_seg: 75.9467, loss: 0.2406 +2022-02-28 05:14:03,216 - mmseg - INFO - Iter [112750/160000] lr: 5.906e-06, eta: 3:16:41, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1605, decode.acc_seg: 75.4669, aux.loss_ce: 0.0730, aux.acc_seg: 74.8232, loss: 0.2335 +2022-02-28 05:14:15,771 - mmseg - INFO - Iter [112800/160000] lr: 5.900e-06, eta: 3:16:28, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1518, decode.acc_seg: 75.4075, aux.loss_ce: 0.0694, aux.acc_seg: 74.8342, loss: 0.2212 +2022-02-28 05:14:28,158 - mmseg - INFO - Iter [112850/160000] lr: 5.894e-06, eta: 3:16:16, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1485, decode.acc_seg: 76.4740, aux.loss_ce: 0.0685, aux.acc_seg: 75.8648, loss: 0.2170 +2022-02-28 05:14:40,403 - mmseg - INFO - Iter [112900/160000] lr: 5.888e-06, eta: 3:16:03, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1543, decode.acc_seg: 74.7706, aux.loss_ce: 0.0716, aux.acc_seg: 73.9985, loss: 0.2259 +2022-02-28 05:14:52,749 - mmseg - INFO - Iter [112950/160000] lr: 5.881e-06, eta: 3:15:51, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1455, decode.acc_seg: 74.1994, aux.loss_ce: 0.0679, aux.acc_seg: 73.5739, loss: 0.2134 +2022-02-28 05:15:04,920 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 05:15:04,920 - mmseg - INFO - Iter [113000/160000] lr: 5.875e-06, eta: 3:15:38, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1484, decode.acc_seg: 75.7981, aux.loss_ce: 0.0677, aux.acc_seg: 75.2287, loss: 0.2161 +2022-02-28 05:15:17,062 - mmseg - INFO - Iter [113050/160000] lr: 5.869e-06, eta: 3:15:25, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1563, decode.acc_seg: 76.5653, aux.loss_ce: 0.0720, aux.acc_seg: 75.8446, loss: 0.2283 +2022-02-28 05:15:29,419 - mmseg - INFO - Iter [113100/160000] lr: 5.863e-06, eta: 3:15:13, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1528, decode.acc_seg: 75.5573, aux.loss_ce: 0.0693, aux.acc_seg: 74.9769, loss: 0.2220 +2022-02-28 05:15:41,646 - mmseg - INFO - Iter [113150/160000] lr: 5.856e-06, eta: 3:15:00, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1520, decode.acc_seg: 76.6629, aux.loss_ce: 0.0694, aux.acc_seg: 76.0897, loss: 0.2214 +2022-02-28 05:15:53,915 - mmseg - INFO - Iter [113200/160000] lr: 5.850e-06, eta: 3:14:48, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1524, decode.acc_seg: 75.3316, aux.loss_ce: 0.0696, aux.acc_seg: 74.7616, loss: 0.2220 +2022-02-28 05:16:06,065 - mmseg - INFO - Iter [113250/160000] lr: 5.844e-06, eta: 3:14:35, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1488, decode.acc_seg: 75.5876, aux.loss_ce: 0.0687, aux.acc_seg: 74.9539, loss: 0.2175 +2022-02-28 05:16:18,497 - mmseg - INFO - Iter [113300/160000] lr: 5.838e-06, eta: 3:14:22, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1616, decode.acc_seg: 75.2567, aux.loss_ce: 0.0741, aux.acc_seg: 74.6213, loss: 0.2357 +2022-02-28 05:16:30,704 - mmseg - INFO - Iter [113350/160000] lr: 5.831e-06, eta: 3:14:10, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1449, decode.acc_seg: 75.3744, aux.loss_ce: 0.0659, aux.acc_seg: 74.8519, loss: 0.2109 +2022-02-28 05:16:43,292 - mmseg - INFO - Iter [113400/160000] lr: 5.825e-06, eta: 3:13:57, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1591, decode.acc_seg: 75.2668, aux.loss_ce: 0.0735, aux.acc_seg: 74.5860, loss: 0.2326 +2022-02-28 05:16:55,570 - mmseg - INFO - Iter [113450/160000] lr: 5.819e-06, eta: 3:13:45, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1515, decode.acc_seg: 75.5256, aux.loss_ce: 0.0695, aux.acc_seg: 74.8953, loss: 0.2210 +2022-02-28 05:17:07,746 - mmseg - INFO - Iter [113500/160000] lr: 5.813e-06, eta: 3:13:32, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1526, decode.acc_seg: 75.5880, aux.loss_ce: 0.0699, aux.acc_seg: 74.9992, loss: 0.2225 +2022-02-28 05:17:19,982 - mmseg - INFO - Iter [113550/160000] lr: 5.806e-06, eta: 3:13:20, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1638, decode.acc_seg: 74.4175, aux.loss_ce: 0.0752, aux.acc_seg: 73.7765, loss: 0.2389 +2022-02-28 05:17:32,306 - mmseg - INFO - Iter [113600/160000] lr: 5.800e-06, eta: 3:13:07, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1659, decode.acc_seg: 74.5943, aux.loss_ce: 0.0766, aux.acc_seg: 73.8593, loss: 0.2425 +2022-02-28 05:17:44,672 - mmseg - INFO - Iter [113650/160000] lr: 5.794e-06, eta: 3:12:55, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1543, decode.acc_seg: 76.0366, aux.loss_ce: 0.0704, aux.acc_seg: 75.4572, loss: 0.2247 +2022-02-28 05:17:59,273 - mmseg - INFO - Iter [113700/160000] lr: 5.788e-06, eta: 3:12:43, time: 0.292, data_time: 0.049, memory: 56778, decode.loss_ce: 0.1553, decode.acc_seg: 75.0014, aux.loss_ce: 0.0710, aux.acc_seg: 74.3822, loss: 0.2263 +2022-02-28 05:18:11,466 - mmseg - INFO - Iter [113750/160000] lr: 5.781e-06, eta: 3:12:30, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1426, decode.acc_seg: 75.1871, aux.loss_ce: 0.0653, aux.acc_seg: 74.6699, loss: 0.2078 +2022-02-28 05:18:23,852 - mmseg - INFO - Iter [113800/160000] lr: 5.775e-06, eta: 3:12:18, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1491, decode.acc_seg: 76.9466, aux.loss_ce: 0.0685, aux.acc_seg: 76.3388, loss: 0.2175 +2022-02-28 05:18:36,191 - mmseg - INFO - Iter [113850/160000] lr: 5.769e-06, eta: 3:12:05, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1583, decode.acc_seg: 75.4375, aux.loss_ce: 0.0722, aux.acc_seg: 74.7496, loss: 0.2304 +2022-02-28 05:18:48,453 - mmseg - INFO - Iter [113900/160000] lr: 5.763e-06, eta: 3:11:53, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1509, decode.acc_seg: 75.8972, aux.loss_ce: 0.0691, aux.acc_seg: 75.2616, loss: 0.2201 +2022-02-28 05:19:00,690 - mmseg - INFO - Iter [113950/160000] lr: 5.756e-06, eta: 3:11:40, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1498, decode.acc_seg: 74.3511, aux.loss_ce: 0.0683, aux.acc_seg: 73.8070, loss: 0.2180 +2022-02-28 05:19:12,997 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 05:19:12,997 - mmseg - INFO - Iter [114000/160000] lr: 5.750e-06, eta: 3:11:28, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1489, decode.acc_seg: 75.2137, aux.loss_ce: 0.0687, aux.acc_seg: 74.5629, loss: 0.2176 +2022-02-28 05:19:25,251 - mmseg - INFO - Iter [114050/160000] lr: 5.744e-06, eta: 3:11:15, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1490, decode.acc_seg: 74.9571, aux.loss_ce: 0.0684, aux.acc_seg: 74.3272, loss: 0.2175 +2022-02-28 05:19:37,605 - mmseg - INFO - Iter [114100/160000] lr: 5.738e-06, eta: 3:11:02, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1591, decode.acc_seg: 76.0844, aux.loss_ce: 0.0719, aux.acc_seg: 75.5319, loss: 0.2310 +2022-02-28 05:19:50,069 - mmseg - INFO - Iter [114150/160000] lr: 5.731e-06, eta: 3:10:50, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1569, decode.acc_seg: 76.2637, aux.loss_ce: 0.0728, aux.acc_seg: 75.5908, loss: 0.2297 +2022-02-28 05:20:02,392 - mmseg - INFO - Iter [114200/160000] lr: 5.725e-06, eta: 3:10:37, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1442, decode.acc_seg: 77.2662, aux.loss_ce: 0.0662, aux.acc_seg: 76.6600, loss: 0.2105 +2022-02-28 05:20:14,756 - mmseg - INFO - Iter [114250/160000] lr: 5.719e-06, eta: 3:10:25, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1513, decode.acc_seg: 74.3477, aux.loss_ce: 0.0695, aux.acc_seg: 73.7221, loss: 0.2208 +2022-02-28 05:20:27,008 - mmseg - INFO - Iter [114300/160000] lr: 5.713e-06, eta: 3:10:12, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1441, decode.acc_seg: 75.1717, aux.loss_ce: 0.0661, aux.acc_seg: 74.6105, loss: 0.2102 +2022-02-28 05:20:39,299 - mmseg - INFO - Iter [114350/160000] lr: 5.706e-06, eta: 3:10:00, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1649, decode.acc_seg: 76.0869, aux.loss_ce: 0.0751, aux.acc_seg: 75.4181, loss: 0.2400 +2022-02-28 05:20:51,500 - mmseg - INFO - Iter [114400/160000] lr: 5.700e-06, eta: 3:09:47, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1511, decode.acc_seg: 74.8185, aux.loss_ce: 0.0693, aux.acc_seg: 74.1582, loss: 0.2204 +2022-02-28 05:21:03,805 - mmseg - INFO - Iter [114450/160000] lr: 5.694e-06, eta: 3:09:35, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1486, decode.acc_seg: 75.1367, aux.loss_ce: 0.0685, aux.acc_seg: 74.5181, loss: 0.2170 +2022-02-28 05:21:16,143 - mmseg - INFO - Iter [114500/160000] lr: 5.688e-06, eta: 3:09:22, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1676, decode.acc_seg: 74.5937, aux.loss_ce: 0.0774, aux.acc_seg: 73.8704, loss: 0.2449 +2022-02-28 05:21:28,307 - mmseg - INFO - Iter [114550/160000] lr: 5.681e-06, eta: 3:09:09, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1508, decode.acc_seg: 76.4616, aux.loss_ce: 0.0698, aux.acc_seg: 75.8067, loss: 0.2206 +2022-02-28 05:21:40,434 - mmseg - INFO - Iter [114600/160000] lr: 5.675e-06, eta: 3:08:57, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1424, decode.acc_seg: 76.4255, aux.loss_ce: 0.0663, aux.acc_seg: 75.7741, loss: 0.2087 +2022-02-28 05:21:52,598 - mmseg - INFO - Iter [114650/160000] lr: 5.669e-06, eta: 3:08:44, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1528, decode.acc_seg: 75.7459, aux.loss_ce: 0.0695, aux.acc_seg: 75.1093, loss: 0.2223 +2022-02-28 05:22:04,772 - mmseg - INFO - Iter [114700/160000] lr: 5.663e-06, eta: 3:08:32, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1537, decode.acc_seg: 77.2820, aux.loss_ce: 0.0698, aux.acc_seg: 76.7507, loss: 0.2235 +2022-02-28 05:22:17,171 - mmseg - INFO - Iter [114750/160000] lr: 5.656e-06, eta: 3:08:19, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1514, decode.acc_seg: 75.9657, aux.loss_ce: 0.0698, aux.acc_seg: 75.3173, loss: 0.2212 +2022-02-28 05:22:29,470 - mmseg - INFO - Iter [114800/160000] lr: 5.650e-06, eta: 3:08:06, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1588, decode.acc_seg: 76.4636, aux.loss_ce: 0.0733, aux.acc_seg: 75.8382, loss: 0.2321 +2022-02-28 05:22:41,695 - mmseg - INFO - Iter [114850/160000] lr: 5.644e-06, eta: 3:07:54, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1503, decode.acc_seg: 75.3620, aux.loss_ce: 0.0685, aux.acc_seg: 74.8125, loss: 0.2189 +2022-02-28 05:22:54,133 - mmseg - INFO - Iter [114900/160000] lr: 5.638e-06, eta: 3:07:41, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1680, decode.acc_seg: 75.7122, aux.loss_ce: 0.0753, aux.acc_seg: 75.2068, loss: 0.2433 +2022-02-28 05:23:08,754 - mmseg - INFO - Iter [114950/160000] lr: 5.631e-06, eta: 3:07:30, time: 0.292, data_time: 0.048, memory: 56778, decode.loss_ce: 0.1553, decode.acc_seg: 76.3791, aux.loss_ce: 0.0703, aux.acc_seg: 75.7649, loss: 0.2256 +2022-02-28 05:23:20,966 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 05:23:20,966 - mmseg - INFO - Iter [115000/160000] lr: 5.625e-06, eta: 3:07:17, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1484, decode.acc_seg: 75.1802, aux.loss_ce: 0.0681, aux.acc_seg: 74.6005, loss: 0.2166 +2022-02-28 05:23:33,281 - mmseg - INFO - Iter [115050/160000] lr: 5.619e-06, eta: 3:07:05, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1604, decode.acc_seg: 77.0141, aux.loss_ce: 0.0725, aux.acc_seg: 76.3794, loss: 0.2329 +2022-02-28 05:23:45,544 - mmseg - INFO - Iter [115100/160000] lr: 5.613e-06, eta: 3:06:52, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1517, decode.acc_seg: 75.4733, aux.loss_ce: 0.0693, aux.acc_seg: 74.7950, loss: 0.2210 +2022-02-28 05:23:58,023 - mmseg - INFO - Iter [115150/160000] lr: 5.606e-06, eta: 3:06:39, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1488, decode.acc_seg: 78.1770, aux.loss_ce: 0.0691, aux.acc_seg: 77.5176, loss: 0.2179 +2022-02-28 05:24:10,290 - mmseg - INFO - Iter [115200/160000] lr: 5.600e-06, eta: 3:06:27, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1484, decode.acc_seg: 77.4196, aux.loss_ce: 0.0684, aux.acc_seg: 76.8412, loss: 0.2167 +2022-02-28 05:24:22,601 - mmseg - INFO - Iter [115250/160000] lr: 5.594e-06, eta: 3:06:14, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1472, decode.acc_seg: 75.2155, aux.loss_ce: 0.0676, aux.acc_seg: 74.5611, loss: 0.2148 +2022-02-28 05:24:34,809 - mmseg - INFO - Iter [115300/160000] lr: 5.588e-06, eta: 3:06:02, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1496, decode.acc_seg: 75.8806, aux.loss_ce: 0.0684, aux.acc_seg: 75.2512, loss: 0.2179 +2022-02-28 05:24:46,948 - mmseg - INFO - Iter [115350/160000] lr: 5.581e-06, eta: 3:05:49, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1515, decode.acc_seg: 75.8042, aux.loss_ce: 0.0696, aux.acc_seg: 75.1127, loss: 0.2211 +2022-02-28 05:24:59,175 - mmseg - INFO - Iter [115400/160000] lr: 5.575e-06, eta: 3:05:37, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1531, decode.acc_seg: 75.8375, aux.loss_ce: 0.0700, aux.acc_seg: 75.1933, loss: 0.2232 +2022-02-28 05:25:11,460 - mmseg - INFO - Iter [115450/160000] lr: 5.569e-06, eta: 3:05:24, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1618, decode.acc_seg: 75.7940, aux.loss_ce: 0.0726, aux.acc_seg: 75.2535, loss: 0.2344 +2022-02-28 05:25:23,764 - mmseg - INFO - Iter [115500/160000] lr: 5.563e-06, eta: 3:05:11, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1447, decode.acc_seg: 75.2536, aux.loss_ce: 0.0675, aux.acc_seg: 74.5929, loss: 0.2122 +2022-02-28 05:25:35,928 - mmseg - INFO - Iter [115550/160000] lr: 5.556e-06, eta: 3:04:59, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1449, decode.acc_seg: 74.0181, aux.loss_ce: 0.0661, aux.acc_seg: 73.4226, loss: 0.2111 +2022-02-28 05:25:48,645 - mmseg - INFO - Iter [115600/160000] lr: 5.550e-06, eta: 3:04:46, time: 0.254, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1510, decode.acc_seg: 74.3733, aux.loss_ce: 0.0695, aux.acc_seg: 73.6741, loss: 0.2205 +2022-02-28 05:26:01,054 - mmseg - INFO - Iter [115650/160000] lr: 5.544e-06, eta: 3:04:34, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1438, decode.acc_seg: 76.1674, aux.loss_ce: 0.0661, aux.acc_seg: 75.5084, loss: 0.2099 +2022-02-28 05:26:13,429 - mmseg - INFO - Iter [115700/160000] lr: 5.538e-06, eta: 3:04:21, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1587, decode.acc_seg: 74.4749, aux.loss_ce: 0.0724, aux.acc_seg: 73.8600, loss: 0.2311 +2022-02-28 05:26:25,728 - mmseg - INFO - Iter [115750/160000] lr: 5.531e-06, eta: 3:04:09, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1507, decode.acc_seg: 76.2397, aux.loss_ce: 0.0695, aux.acc_seg: 75.6118, loss: 0.2202 +2022-02-28 05:26:38,234 - mmseg - INFO - Iter [115800/160000] lr: 5.525e-06, eta: 3:03:56, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1484, decode.acc_seg: 75.9881, aux.loss_ce: 0.0682, aux.acc_seg: 75.4071, loss: 0.2166 +2022-02-28 05:26:50,663 - mmseg - INFO - Iter [115850/160000] lr: 5.519e-06, eta: 3:03:44, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1612, decode.acc_seg: 76.9102, aux.loss_ce: 0.0736, aux.acc_seg: 76.2743, loss: 0.2347 +2022-02-28 05:27:03,029 - mmseg - INFO - Iter [115900/160000] lr: 5.513e-06, eta: 3:03:31, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1585, decode.acc_seg: 75.1260, aux.loss_ce: 0.0729, aux.acc_seg: 74.5248, loss: 0.2314 +2022-02-28 05:27:15,305 - mmseg - INFO - Iter [115950/160000] lr: 5.506e-06, eta: 3:03:19, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1527, decode.acc_seg: 76.5143, aux.loss_ce: 0.0692, aux.acc_seg: 75.9645, loss: 0.2219 +2022-02-28 05:27:27,747 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 05:27:27,747 - mmseg - INFO - Iter [116000/160000] lr: 5.500e-06, eta: 3:03:06, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1407, decode.acc_seg: 75.8248, aux.loss_ce: 0.0646, aux.acc_seg: 75.2464, loss: 0.2053 +2022-02-28 05:27:40,060 - mmseg - INFO - Iter [116050/160000] lr: 5.494e-06, eta: 3:02:54, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1520, decode.acc_seg: 74.9662, aux.loss_ce: 0.0697, aux.acc_seg: 74.3787, loss: 0.2217 +2022-02-28 05:27:52,347 - mmseg - INFO - Iter [116100/160000] lr: 5.488e-06, eta: 3:02:41, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1470, decode.acc_seg: 75.0064, aux.loss_ce: 0.0673, aux.acc_seg: 74.4508, loss: 0.2144 +2022-02-28 05:28:04,804 - mmseg - INFO - Iter [116150/160000] lr: 5.481e-06, eta: 3:02:29, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1503, decode.acc_seg: 75.8031, aux.loss_ce: 0.0697, aux.acc_seg: 75.1147, loss: 0.2201 +2022-02-28 05:28:19,328 - mmseg - INFO - Iter [116200/160000] lr: 5.475e-06, eta: 3:02:17, time: 0.290, data_time: 0.049, memory: 56778, decode.loss_ce: 0.1540, decode.acc_seg: 74.6518, aux.loss_ce: 0.0709, aux.acc_seg: 73.9971, loss: 0.2249 +2022-02-28 05:28:31,760 - mmseg - INFO - Iter [116250/160000] lr: 5.469e-06, eta: 3:02:04, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1525, decode.acc_seg: 74.9550, aux.loss_ce: 0.0699, aux.acc_seg: 74.3441, loss: 0.2223 +2022-02-28 05:28:44,215 - mmseg - INFO - Iter [116300/160000] lr: 5.463e-06, eta: 3:01:52, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1390, decode.acc_seg: 76.1346, aux.loss_ce: 0.0645, aux.acc_seg: 75.5835, loss: 0.2035 +2022-02-28 05:28:56,554 - mmseg - INFO - Iter [116350/160000] lr: 5.456e-06, eta: 3:01:39, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1383, decode.acc_seg: 75.1404, aux.loss_ce: 0.0639, aux.acc_seg: 74.5222, loss: 0.2023 +2022-02-28 05:29:08,866 - mmseg - INFO - Iter [116400/160000] lr: 5.450e-06, eta: 3:01:27, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1462, decode.acc_seg: 75.2901, aux.loss_ce: 0.0672, aux.acc_seg: 74.6438, loss: 0.2133 +2022-02-28 05:29:21,192 - mmseg - INFO - Iter [116450/160000] lr: 5.444e-06, eta: 3:01:14, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1609, decode.acc_seg: 76.3516, aux.loss_ce: 0.0747, aux.acc_seg: 75.6327, loss: 0.2356 +2022-02-28 05:29:33,484 - mmseg - INFO - Iter [116500/160000] lr: 5.438e-06, eta: 3:01:02, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1566, decode.acc_seg: 77.6257, aux.loss_ce: 0.0720, aux.acc_seg: 77.0020, loss: 0.2286 +2022-02-28 05:29:45,839 - mmseg - INFO - Iter [116550/160000] lr: 5.431e-06, eta: 3:00:49, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1475, decode.acc_seg: 76.7928, aux.loss_ce: 0.0681, aux.acc_seg: 76.2243, loss: 0.2156 +2022-02-28 05:29:58,114 - mmseg - INFO - Iter [116600/160000] lr: 5.425e-06, eta: 3:00:37, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1475, decode.acc_seg: 75.7565, aux.loss_ce: 0.0675, aux.acc_seg: 75.1818, loss: 0.2150 +2022-02-28 05:30:10,670 - mmseg - INFO - Iter [116650/160000] lr: 5.419e-06, eta: 3:00:24, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1491, decode.acc_seg: 74.7457, aux.loss_ce: 0.0680, aux.acc_seg: 74.1678, loss: 0.2170 +2022-02-28 05:30:22,919 - mmseg - INFO - Iter [116700/160000] lr: 5.413e-06, eta: 3:00:12, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1494, decode.acc_seg: 75.6386, aux.loss_ce: 0.0681, aux.acc_seg: 75.0042, loss: 0.2175 +2022-02-28 05:30:35,100 - mmseg - INFO - Iter [116750/160000] lr: 5.406e-06, eta: 2:59:59, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1515, decode.acc_seg: 75.1561, aux.loss_ce: 0.0696, aux.acc_seg: 74.5206, loss: 0.2212 +2022-02-28 05:30:47,381 - mmseg - INFO - Iter [116800/160000] lr: 5.400e-06, eta: 2:59:46, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1523, decode.acc_seg: 76.6044, aux.loss_ce: 0.0694, aux.acc_seg: 75.9215, loss: 0.2217 +2022-02-28 05:30:59,761 - mmseg - INFO - Iter [116850/160000] lr: 5.394e-06, eta: 2:59:34, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1546, decode.acc_seg: 73.3342, aux.loss_ce: 0.0706, aux.acc_seg: 72.7376, loss: 0.2251 +2022-02-28 05:31:12,100 - mmseg - INFO - Iter [116900/160000] lr: 5.388e-06, eta: 2:59:21, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1568, decode.acc_seg: 76.1819, aux.loss_ce: 0.0717, aux.acc_seg: 75.5774, loss: 0.2284 +2022-02-28 05:31:24,370 - mmseg - INFO - Iter [116950/160000] lr: 5.381e-06, eta: 2:59:09, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1383, decode.acc_seg: 73.8801, aux.loss_ce: 0.0634, aux.acc_seg: 73.2984, loss: 0.2017 +2022-02-28 05:31:36,482 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 05:31:36,482 - mmseg - INFO - Iter [117000/160000] lr: 5.375e-06, eta: 2:58:56, time: 0.242, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1462, decode.acc_seg: 76.0129, aux.loss_ce: 0.0674, aux.acc_seg: 75.3746, loss: 0.2136 +2022-02-28 05:31:48,731 - mmseg - INFO - Iter [117050/160000] lr: 5.369e-06, eta: 2:58:44, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1532, decode.acc_seg: 75.6082, aux.loss_ce: 0.0697, aux.acc_seg: 75.0443, loss: 0.2229 +2022-02-28 05:32:00,947 - mmseg - INFO - Iter [117100/160000] lr: 5.363e-06, eta: 2:58:31, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1403, decode.acc_seg: 76.0042, aux.loss_ce: 0.0640, aux.acc_seg: 75.4550, loss: 0.2044 +2022-02-28 05:32:13,319 - mmseg - INFO - Iter [117150/160000] lr: 5.356e-06, eta: 2:58:19, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1468, decode.acc_seg: 75.8076, aux.loss_ce: 0.0675, aux.acc_seg: 75.1978, loss: 0.2143 +2022-02-28 05:32:25,550 - mmseg - INFO - Iter [117200/160000] lr: 5.350e-06, eta: 2:58:06, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1637, decode.acc_seg: 76.7931, aux.loss_ce: 0.0753, aux.acc_seg: 76.1328, loss: 0.2390 +2022-02-28 05:32:37,741 - mmseg - INFO - Iter [117250/160000] lr: 5.344e-06, eta: 2:57:53, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1488, decode.acc_seg: 75.6126, aux.loss_ce: 0.0680, aux.acc_seg: 75.0694, loss: 0.2168 +2022-02-28 05:32:50,116 - mmseg - INFO - Iter [117300/160000] lr: 5.338e-06, eta: 2:57:41, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1592, decode.acc_seg: 77.4644, aux.loss_ce: 0.0733, aux.acc_seg: 76.7905, loss: 0.2326 +2022-02-28 05:33:02,313 - mmseg - INFO - Iter [117350/160000] lr: 5.331e-06, eta: 2:57:28, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1553, decode.acc_seg: 75.0183, aux.loss_ce: 0.0708, aux.acc_seg: 74.3997, loss: 0.2261 +2022-02-28 05:33:14,548 - mmseg - INFO - Iter [117400/160000] lr: 5.325e-06, eta: 2:57:16, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1494, decode.acc_seg: 75.0510, aux.loss_ce: 0.0687, aux.acc_seg: 74.4389, loss: 0.2180 +2022-02-28 05:33:26,836 - mmseg - INFO - Iter [117450/160000] lr: 5.319e-06, eta: 2:57:03, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1500, decode.acc_seg: 74.4649, aux.loss_ce: 0.0686, aux.acc_seg: 73.7971, loss: 0.2187 +2022-02-28 05:33:41,389 - mmseg - INFO - Iter [117500/160000] lr: 5.313e-06, eta: 2:56:51, time: 0.291, data_time: 0.049, memory: 56778, decode.loss_ce: 0.1455, decode.acc_seg: 76.3539, aux.loss_ce: 0.0673, aux.acc_seg: 75.6697, loss: 0.2128 +2022-02-28 05:33:53,603 - mmseg - INFO - Iter [117550/160000] lr: 5.306e-06, eta: 2:56:39, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1528, decode.acc_seg: 75.6713, aux.loss_ce: 0.0705, aux.acc_seg: 75.0410, loss: 0.2234 +2022-02-28 05:34:05,772 - mmseg - INFO - Iter [117600/160000] lr: 5.300e-06, eta: 2:56:26, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1543, decode.acc_seg: 75.9638, aux.loss_ce: 0.0690, aux.acc_seg: 75.4631, loss: 0.2233 +2022-02-28 05:34:18,006 - mmseg - INFO - Iter [117650/160000] lr: 5.294e-06, eta: 2:56:14, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1560, decode.acc_seg: 75.6256, aux.loss_ce: 0.0717, aux.acc_seg: 75.0004, loss: 0.2277 +2022-02-28 05:34:30,350 - mmseg - INFO - Iter [117700/160000] lr: 5.288e-06, eta: 2:56:01, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1457, decode.acc_seg: 75.5663, aux.loss_ce: 0.0666, aux.acc_seg: 74.9916, loss: 0.2123 +2022-02-28 05:34:42,760 - mmseg - INFO - Iter [117750/160000] lr: 5.281e-06, eta: 2:55:49, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1444, decode.acc_seg: 75.2897, aux.loss_ce: 0.0662, aux.acc_seg: 74.7122, loss: 0.2105 +2022-02-28 05:34:55,184 - mmseg - INFO - Iter [117800/160000] lr: 5.275e-06, eta: 2:55:36, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1667, decode.acc_seg: 74.4222, aux.loss_ce: 0.0773, aux.acc_seg: 73.7193, loss: 0.2440 +2022-02-28 05:35:07,606 - mmseg - INFO - Iter [117850/160000] lr: 5.269e-06, eta: 2:55:24, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1492, decode.acc_seg: 76.2604, aux.loss_ce: 0.0692, aux.acc_seg: 75.5600, loss: 0.2184 +2022-02-28 05:35:20,000 - mmseg - INFO - Iter [117900/160000] lr: 5.263e-06, eta: 2:55:11, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1397, decode.acc_seg: 75.0073, aux.loss_ce: 0.0641, aux.acc_seg: 74.4636, loss: 0.2038 +2022-02-28 05:35:32,366 - mmseg - INFO - Iter [117950/160000] lr: 5.256e-06, eta: 2:54:59, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1423, decode.acc_seg: 75.2700, aux.loss_ce: 0.0661, aux.acc_seg: 74.6039, loss: 0.2084 +2022-02-28 05:35:44,826 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 05:35:44,827 - mmseg - INFO - Iter [118000/160000] lr: 5.250e-06, eta: 2:54:46, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1449, decode.acc_seg: 75.0581, aux.loss_ce: 0.0669, aux.acc_seg: 74.4259, loss: 0.2118 +2022-02-28 05:35:57,029 - mmseg - INFO - Iter [118050/160000] lr: 5.244e-06, eta: 2:54:33, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1416, decode.acc_seg: 76.6147, aux.loss_ce: 0.0651, aux.acc_seg: 75.9929, loss: 0.2067 +2022-02-28 05:36:09,417 - mmseg - INFO - Iter [118100/160000] lr: 5.238e-06, eta: 2:54:21, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1599, decode.acc_seg: 75.6583, aux.loss_ce: 0.0731, aux.acc_seg: 75.0664, loss: 0.2329 +2022-02-28 05:36:21,792 - mmseg - INFO - Iter [118150/160000] lr: 5.231e-06, eta: 2:54:08, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1622, decode.acc_seg: 75.5974, aux.loss_ce: 0.0733, aux.acc_seg: 74.9952, loss: 0.2355 +2022-02-28 05:36:33,987 - mmseg - INFO - Iter [118200/160000] lr: 5.225e-06, eta: 2:53:56, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1484, decode.acc_seg: 76.0699, aux.loss_ce: 0.0679, aux.acc_seg: 75.5116, loss: 0.2163 +2022-02-28 05:36:46,480 - mmseg - INFO - Iter [118250/160000] lr: 5.219e-06, eta: 2:53:43, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1539, decode.acc_seg: 75.9770, aux.loss_ce: 0.0713, aux.acc_seg: 75.2404, loss: 0.2251 +2022-02-28 05:36:59,001 - mmseg - INFO - Iter [118300/160000] lr: 5.213e-06, eta: 2:53:31, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1433, decode.acc_seg: 74.6761, aux.loss_ce: 0.0657, aux.acc_seg: 74.1115, loss: 0.2090 +2022-02-28 05:37:11,258 - mmseg - INFO - Iter [118350/160000] lr: 5.206e-06, eta: 2:53:18, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1492, decode.acc_seg: 76.1132, aux.loss_ce: 0.0691, aux.acc_seg: 75.4750, loss: 0.2182 +2022-02-28 05:37:23,688 - mmseg - INFO - Iter [118400/160000] lr: 5.200e-06, eta: 2:53:06, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1473, decode.acc_seg: 75.4284, aux.loss_ce: 0.0674, aux.acc_seg: 74.8331, loss: 0.2147 +2022-02-28 05:37:35,979 - mmseg - INFO - Iter [118450/160000] lr: 5.194e-06, eta: 2:52:53, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1452, decode.acc_seg: 75.8379, aux.loss_ce: 0.0661, aux.acc_seg: 75.3405, loss: 0.2113 +2022-02-28 05:37:48,277 - mmseg - INFO - Iter [118500/160000] lr: 5.188e-06, eta: 2:52:41, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1463, decode.acc_seg: 75.4003, aux.loss_ce: 0.0671, aux.acc_seg: 74.7314, loss: 0.2133 +2022-02-28 05:38:00,624 - mmseg - INFO - Iter [118550/160000] lr: 5.181e-06, eta: 2:52:28, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1494, decode.acc_seg: 76.4588, aux.loss_ce: 0.0690, aux.acc_seg: 75.8068, loss: 0.2184 +2022-02-28 05:38:12,784 - mmseg - INFO - Iter [118600/160000] lr: 5.175e-06, eta: 2:52:16, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1477, decode.acc_seg: 73.9557, aux.loss_ce: 0.0672, aux.acc_seg: 73.4345, loss: 0.2150 +2022-02-28 05:38:25,021 - mmseg - INFO - Iter [118650/160000] lr: 5.169e-06, eta: 2:52:03, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1543, decode.acc_seg: 75.0846, aux.loss_ce: 0.0704, aux.acc_seg: 74.4745, loss: 0.2246 +2022-02-28 05:38:37,372 - mmseg - INFO - Iter [118700/160000] lr: 5.163e-06, eta: 2:51:50, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1453, decode.acc_seg: 75.6365, aux.loss_ce: 0.0667, aux.acc_seg: 75.0557, loss: 0.2120 +2022-02-28 05:38:51,992 - mmseg - INFO - Iter [118750/160000] lr: 5.156e-06, eta: 2:51:39, time: 0.292, data_time: 0.049, memory: 56778, decode.loss_ce: 0.1423, decode.acc_seg: 73.9347, aux.loss_ce: 0.0645, aux.acc_seg: 73.3537, loss: 0.2068 +2022-02-28 05:39:04,201 - mmseg - INFO - Iter [118800/160000] lr: 5.150e-06, eta: 2:51:26, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1538, decode.acc_seg: 77.0494, aux.loss_ce: 0.0705, aux.acc_seg: 76.3922, loss: 0.2243 +2022-02-28 05:39:16,490 - mmseg - INFO - Iter [118850/160000] lr: 5.144e-06, eta: 2:51:14, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1410, decode.acc_seg: 74.8363, aux.loss_ce: 0.0647, aux.acc_seg: 74.2475, loss: 0.2057 +2022-02-28 05:39:28,695 - mmseg - INFO - Iter [118900/160000] lr: 5.138e-06, eta: 2:51:01, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1540, decode.acc_seg: 75.4311, aux.loss_ce: 0.0704, aux.acc_seg: 74.7744, loss: 0.2244 +2022-02-28 05:39:40,853 - mmseg - INFO - Iter [118950/160000] lr: 5.131e-06, eta: 2:50:48, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1476, decode.acc_seg: 74.6429, aux.loss_ce: 0.0684, aux.acc_seg: 73.9890, loss: 0.2160 +2022-02-28 05:39:53,120 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 05:39:53,120 - mmseg - INFO - Iter [119000/160000] lr: 5.125e-06, eta: 2:50:36, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1425, decode.acc_seg: 75.5814, aux.loss_ce: 0.0660, aux.acc_seg: 74.9387, loss: 0.2085 +2022-02-28 05:40:05,416 - mmseg - INFO - Iter [119050/160000] lr: 5.119e-06, eta: 2:50:23, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1459, decode.acc_seg: 76.2075, aux.loss_ce: 0.0672, aux.acc_seg: 75.6318, loss: 0.2131 +2022-02-28 05:40:17,857 - mmseg - INFO - Iter [119100/160000] lr: 5.113e-06, eta: 2:50:11, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1510, decode.acc_seg: 75.3620, aux.loss_ce: 0.0696, aux.acc_seg: 74.7620, loss: 0.2206 +2022-02-28 05:40:30,159 - mmseg - INFO - Iter [119150/160000] lr: 5.106e-06, eta: 2:49:58, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1500, decode.acc_seg: 76.3323, aux.loss_ce: 0.0685, aux.acc_seg: 75.7220, loss: 0.2185 +2022-02-28 05:40:42,378 - mmseg - INFO - Iter [119200/160000] lr: 5.100e-06, eta: 2:49:46, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1381, decode.acc_seg: 75.9983, aux.loss_ce: 0.0637, aux.acc_seg: 75.4203, loss: 0.2018 +2022-02-28 05:40:54,703 - mmseg - INFO - Iter [119250/160000] lr: 5.094e-06, eta: 2:49:33, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1475, decode.acc_seg: 75.0627, aux.loss_ce: 0.0671, aux.acc_seg: 74.5381, loss: 0.2146 +2022-02-28 05:41:06,924 - mmseg - INFO - Iter [119300/160000] lr: 5.088e-06, eta: 2:49:21, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1464, decode.acc_seg: 75.4405, aux.loss_ce: 0.0677, aux.acc_seg: 74.8170, loss: 0.2140 +2022-02-28 05:41:19,153 - mmseg - INFO - Iter [119350/160000] lr: 5.081e-06, eta: 2:49:08, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1474, decode.acc_seg: 76.8462, aux.loss_ce: 0.0670, aux.acc_seg: 76.3049, loss: 0.2143 +2022-02-28 05:41:31,533 - mmseg - INFO - Iter [119400/160000] lr: 5.075e-06, eta: 2:48:55, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1390, decode.acc_seg: 74.1563, aux.loss_ce: 0.0634, aux.acc_seg: 73.6266, loss: 0.2023 +2022-02-28 05:41:43,991 - mmseg - INFO - Iter [119450/160000] lr: 5.069e-06, eta: 2:48:43, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1476, decode.acc_seg: 75.7705, aux.loss_ce: 0.0685, aux.acc_seg: 75.0710, loss: 0.2161 +2022-02-28 05:41:56,164 - mmseg - INFO - Iter [119500/160000] lr: 5.063e-06, eta: 2:48:30, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1610, decode.acc_seg: 76.9917, aux.loss_ce: 0.0728, aux.acc_seg: 76.3296, loss: 0.2339 +2022-02-28 05:42:08,371 - mmseg - INFO - Iter [119550/160000] lr: 5.056e-06, eta: 2:48:18, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1563, decode.acc_seg: 73.5929, aux.loss_ce: 0.0715, aux.acc_seg: 73.0916, loss: 0.2279 +2022-02-28 05:42:20,844 - mmseg - INFO - Iter [119600/160000] lr: 5.050e-06, eta: 2:48:05, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1495, decode.acc_seg: 75.8921, aux.loss_ce: 0.0693, aux.acc_seg: 75.1992, loss: 0.2188 +2022-02-28 05:42:33,295 - mmseg - INFO - Iter [119650/160000] lr: 5.044e-06, eta: 2:47:53, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1581, decode.acc_seg: 73.7363, aux.loss_ce: 0.0707, aux.acc_seg: 73.2329, loss: 0.2288 +2022-02-28 05:42:45,544 - mmseg - INFO - Iter [119700/160000] lr: 5.038e-06, eta: 2:47:40, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1409, decode.acc_seg: 73.9709, aux.loss_ce: 0.0644, aux.acc_seg: 73.3820, loss: 0.2053 +2022-02-28 05:42:57,803 - mmseg - INFO - Iter [119750/160000] lr: 5.031e-06, eta: 2:47:28, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1470, decode.acc_seg: 75.1977, aux.loss_ce: 0.0673, aux.acc_seg: 74.5864, loss: 0.2143 +2022-02-28 05:43:10,097 - mmseg - INFO - Iter [119800/160000] lr: 5.025e-06, eta: 2:47:15, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1480, decode.acc_seg: 75.2007, aux.loss_ce: 0.0684, aux.acc_seg: 74.5463, loss: 0.2165 +2022-02-28 05:43:22,277 - mmseg - INFO - Iter [119850/160000] lr: 5.019e-06, eta: 2:47:03, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1420, decode.acc_seg: 75.1156, aux.loss_ce: 0.0668, aux.acc_seg: 74.3480, loss: 0.2089 +2022-02-28 05:43:34,598 - mmseg - INFO - Iter [119900/160000] lr: 5.013e-06, eta: 2:46:50, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1514, decode.acc_seg: 75.0996, aux.loss_ce: 0.0697, aux.acc_seg: 74.5140, loss: 0.2211 +2022-02-28 05:43:46,884 - mmseg - INFO - Iter [119950/160000] lr: 5.006e-06, eta: 2:46:38, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1470, decode.acc_seg: 75.2416, aux.loss_ce: 0.0678, aux.acc_seg: 74.6097, loss: 0.2148 +2022-02-28 05:44:01,394 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 05:44:01,394 - mmseg - INFO - Iter [120000/160000] lr: 5.000e-06, eta: 2:46:26, time: 0.290, data_time: 0.048, memory: 56778, decode.loss_ce: 0.1404, decode.acc_seg: 75.8943, aux.loss_ce: 0.0643, aux.acc_seg: 75.2777, loss: 0.2047 +2022-02-28 05:44:13,532 - mmseg - INFO - Iter [120050/160000] lr: 4.994e-06, eta: 2:46:13, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1441, decode.acc_seg: 74.8135, aux.loss_ce: 0.0662, aux.acc_seg: 74.2635, loss: 0.2103 +2022-02-28 05:44:25,815 - mmseg - INFO - Iter [120100/160000] lr: 4.988e-06, eta: 2:46:01, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1455, decode.acc_seg: 76.8874, aux.loss_ce: 0.0679, aux.acc_seg: 76.1629, loss: 0.2134 +2022-02-28 05:44:38,106 - mmseg - INFO - Iter [120150/160000] lr: 4.981e-06, eta: 2:45:48, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1473, decode.acc_seg: 75.6134, aux.loss_ce: 0.0675, aux.acc_seg: 75.0286, loss: 0.2148 +2022-02-28 05:44:50,428 - mmseg - INFO - Iter [120200/160000] lr: 4.975e-06, eta: 2:45:35, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1541, decode.acc_seg: 75.2431, aux.loss_ce: 0.0700, aux.acc_seg: 74.6811, loss: 0.2241 +2022-02-28 05:45:02,581 - mmseg - INFO - Iter [120250/160000] lr: 4.969e-06, eta: 2:45:23, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1432, decode.acc_seg: 76.0570, aux.loss_ce: 0.0652, aux.acc_seg: 75.4791, loss: 0.2084 +2022-02-28 05:45:14,804 - mmseg - INFO - Iter [120300/160000] lr: 4.963e-06, eta: 2:45:10, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1436, decode.acc_seg: 75.8852, aux.loss_ce: 0.0661, aux.acc_seg: 75.2962, loss: 0.2097 +2022-02-28 05:45:27,039 - mmseg - INFO - Iter [120350/160000] lr: 4.956e-06, eta: 2:44:58, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1418, decode.acc_seg: 76.4313, aux.loss_ce: 0.0652, aux.acc_seg: 75.8379, loss: 0.2069 +2022-02-28 05:45:39,246 - mmseg - INFO - Iter [120400/160000] lr: 4.950e-06, eta: 2:44:45, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1580, decode.acc_seg: 76.1121, aux.loss_ce: 0.0729, aux.acc_seg: 75.4548, loss: 0.2310 +2022-02-28 05:45:51,510 - mmseg - INFO - Iter [120450/160000] lr: 4.944e-06, eta: 2:44:33, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1389, decode.acc_seg: 74.9441, aux.loss_ce: 0.0649, aux.acc_seg: 74.2911, loss: 0.2038 +2022-02-28 05:46:03,852 - mmseg - INFO - Iter [120500/160000] lr: 4.938e-06, eta: 2:44:20, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1414, decode.acc_seg: 75.6277, aux.loss_ce: 0.0652, aux.acc_seg: 75.0492, loss: 0.2066 +2022-02-28 05:46:16,167 - mmseg - INFO - Iter [120550/160000] lr: 4.931e-06, eta: 2:44:08, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1527, decode.acc_seg: 77.3813, aux.loss_ce: 0.0707, aux.acc_seg: 76.7303, loss: 0.2234 +2022-02-28 05:46:28,407 - mmseg - INFO - Iter [120600/160000] lr: 4.925e-06, eta: 2:43:55, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1443, decode.acc_seg: 74.9371, aux.loss_ce: 0.0668, aux.acc_seg: 74.3419, loss: 0.2111 +2022-02-28 05:46:40,971 - mmseg - INFO - Iter [120650/160000] lr: 4.919e-06, eta: 2:43:43, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1429, decode.acc_seg: 75.3899, aux.loss_ce: 0.0657, aux.acc_seg: 74.7673, loss: 0.2087 +2022-02-28 05:46:53,289 - mmseg - INFO - Iter [120700/160000] lr: 4.913e-06, eta: 2:43:30, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1483, decode.acc_seg: 76.6208, aux.loss_ce: 0.0684, aux.acc_seg: 76.0078, loss: 0.2166 +2022-02-28 05:47:05,615 - mmseg - INFO - Iter [120750/160000] lr: 4.906e-06, eta: 2:43:18, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1519, decode.acc_seg: 76.3473, aux.loss_ce: 0.0694, aux.acc_seg: 75.7475, loss: 0.2213 +2022-02-28 05:47:18,032 - mmseg - INFO - Iter [120800/160000] lr: 4.900e-06, eta: 2:43:05, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1456, decode.acc_seg: 77.4320, aux.loss_ce: 0.0667, aux.acc_seg: 76.8032, loss: 0.2123 +2022-02-28 05:47:30,311 - mmseg - INFO - Iter [120850/160000] lr: 4.894e-06, eta: 2:42:52, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1453, decode.acc_seg: 75.1463, aux.loss_ce: 0.0667, aux.acc_seg: 74.5279, loss: 0.2120 +2022-02-28 05:47:42,561 - mmseg - INFO - Iter [120900/160000] lr: 4.888e-06, eta: 2:42:40, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1492, decode.acc_seg: 76.3089, aux.loss_ce: 0.0681, aux.acc_seg: 75.7054, loss: 0.2174 +2022-02-28 05:47:54,822 - mmseg - INFO - Iter [120950/160000] lr: 4.881e-06, eta: 2:42:27, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1447, decode.acc_seg: 76.2260, aux.loss_ce: 0.0667, aux.acc_seg: 75.6023, loss: 0.2114 +2022-02-28 05:48:07,098 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 05:48:07,098 - mmseg - INFO - Iter [121000/160000] lr: 4.875e-06, eta: 2:42:15, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1478, decode.acc_seg: 75.5904, aux.loss_ce: 0.0674, aux.acc_seg: 75.0397, loss: 0.2152 +2022-02-28 05:48:19,249 - mmseg - INFO - Iter [121050/160000] lr: 4.869e-06, eta: 2:42:02, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1474, decode.acc_seg: 75.7896, aux.loss_ce: 0.0671, aux.acc_seg: 75.1901, loss: 0.2145 +2022-02-28 05:48:31,507 - mmseg - INFO - Iter [121100/160000] lr: 4.863e-06, eta: 2:41:50, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1442, decode.acc_seg: 75.8667, aux.loss_ce: 0.0667, aux.acc_seg: 75.2453, loss: 0.2108 +2022-02-28 05:48:43,817 - mmseg - INFO - Iter [121150/160000] lr: 4.856e-06, eta: 2:41:37, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1413, decode.acc_seg: 76.8521, aux.loss_ce: 0.0657, aux.acc_seg: 76.1897, loss: 0.2070 +2022-02-28 05:48:55,957 - mmseg - INFO - Iter [121200/160000] lr: 4.850e-06, eta: 2:41:25, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1527, decode.acc_seg: 75.7994, aux.loss_ce: 0.0694, aux.acc_seg: 75.1752, loss: 0.2221 +2022-02-28 05:49:10,647 - mmseg - INFO - Iter [121250/160000] lr: 4.844e-06, eta: 2:41:13, time: 0.294, data_time: 0.049, memory: 56778, decode.loss_ce: 0.1464, decode.acc_seg: 77.0847, aux.loss_ce: 0.0671, aux.acc_seg: 76.5149, loss: 0.2135 +2022-02-28 05:49:22,845 - mmseg - INFO - Iter [121300/160000] lr: 4.838e-06, eta: 2:41:00, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1411, decode.acc_seg: 77.1479, aux.loss_ce: 0.0643, aux.acc_seg: 76.6104, loss: 0.2055 +2022-02-28 05:49:35,605 - mmseg - INFO - Iter [121350/160000] lr: 4.831e-06, eta: 2:40:48, time: 0.255, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1456, decode.acc_seg: 76.1837, aux.loss_ce: 0.0667, aux.acc_seg: 75.5589, loss: 0.2123 +2022-02-28 05:49:47,871 - mmseg - INFO - Iter [121400/160000] lr: 4.825e-06, eta: 2:40:35, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1365, decode.acc_seg: 76.1404, aux.loss_ce: 0.0632, aux.acc_seg: 75.5401, loss: 0.1997 +2022-02-28 05:50:00,259 - mmseg - INFO - Iter [121450/160000] lr: 4.819e-06, eta: 2:40:23, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1522, decode.acc_seg: 75.6326, aux.loss_ce: 0.0703, aux.acc_seg: 74.9559, loss: 0.2225 +2022-02-28 05:50:12,685 - mmseg - INFO - Iter [121500/160000] lr: 4.813e-06, eta: 2:40:10, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1508, decode.acc_seg: 77.0523, aux.loss_ce: 0.0684, aux.acc_seg: 76.4974, loss: 0.2192 +2022-02-28 05:50:24,886 - mmseg - INFO - Iter [121550/160000] lr: 4.806e-06, eta: 2:39:58, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1486, decode.acc_seg: 76.7166, aux.loss_ce: 0.0691, aux.acc_seg: 76.0362, loss: 0.2177 +2022-02-28 05:50:37,327 - mmseg - INFO - Iter [121600/160000] lr: 4.800e-06, eta: 2:39:45, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1441, decode.acc_seg: 76.1554, aux.loss_ce: 0.0661, aux.acc_seg: 75.5480, loss: 0.2102 +2022-02-28 05:50:49,570 - mmseg - INFO - Iter [121650/160000] lr: 4.794e-06, eta: 2:39:33, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1496, decode.acc_seg: 75.4436, aux.loss_ce: 0.0684, aux.acc_seg: 74.8738, loss: 0.2180 +2022-02-28 05:51:01,802 - mmseg - INFO - Iter [121700/160000] lr: 4.788e-06, eta: 2:39:20, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1448, decode.acc_seg: 76.8789, aux.loss_ce: 0.0670, aux.acc_seg: 76.2597, loss: 0.2118 +2022-02-28 05:51:13,968 - mmseg - INFO - Iter [121750/160000] lr: 4.781e-06, eta: 2:39:07, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1409, decode.acc_seg: 76.2165, aux.loss_ce: 0.0652, aux.acc_seg: 75.5589, loss: 0.2061 +2022-02-28 05:51:26,245 - mmseg - INFO - Iter [121800/160000] lr: 4.775e-06, eta: 2:38:55, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1310, decode.acc_seg: 75.7533, aux.loss_ce: 0.0608, aux.acc_seg: 75.1465, loss: 0.1918 +2022-02-28 05:51:38,493 - mmseg - INFO - Iter [121850/160000] lr: 4.769e-06, eta: 2:38:42, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1422, decode.acc_seg: 74.6284, aux.loss_ce: 0.0656, aux.acc_seg: 74.0768, loss: 0.2078 +2022-02-28 05:51:50,805 - mmseg - INFO - Iter [121900/160000] lr: 4.763e-06, eta: 2:38:30, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1494, decode.acc_seg: 75.6380, aux.loss_ce: 0.0681, aux.acc_seg: 75.0777, loss: 0.2175 +2022-02-28 05:52:03,049 - mmseg - INFO - Iter [121950/160000] lr: 4.756e-06, eta: 2:38:17, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1529, decode.acc_seg: 75.7598, aux.loss_ce: 0.0709, aux.acc_seg: 75.1032, loss: 0.2238 +2022-02-28 05:52:15,358 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 05:52:15,359 - mmseg - INFO - Iter [122000/160000] lr: 4.750e-06, eta: 2:38:05, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1446, decode.acc_seg: 76.6330, aux.loss_ce: 0.0664, aux.acc_seg: 76.0476, loss: 0.2109 +2022-02-28 05:52:27,559 - mmseg - INFO - Iter [122050/160000] lr: 4.744e-06, eta: 2:37:52, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1546, decode.acc_seg: 76.0397, aux.loss_ce: 0.0710, aux.acc_seg: 75.4225, loss: 0.2256 +2022-02-28 05:52:39,822 - mmseg - INFO - Iter [122100/160000] lr: 4.738e-06, eta: 2:37:40, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1543, decode.acc_seg: 76.6531, aux.loss_ce: 0.0708, aux.acc_seg: 76.0286, loss: 0.2252 +2022-02-28 05:52:52,070 - mmseg - INFO - Iter [122150/160000] lr: 4.731e-06, eta: 2:37:27, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1521, decode.acc_seg: 76.1261, aux.loss_ce: 0.0701, aux.acc_seg: 75.4328, loss: 0.2221 +2022-02-28 05:53:04,376 - mmseg - INFO - Iter [122200/160000] lr: 4.725e-06, eta: 2:37:15, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1537, decode.acc_seg: 76.9278, aux.loss_ce: 0.0706, aux.acc_seg: 76.2478, loss: 0.2243 +2022-02-28 05:53:16,819 - mmseg - INFO - Iter [122250/160000] lr: 4.719e-06, eta: 2:37:02, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1507, decode.acc_seg: 76.5743, aux.loss_ce: 0.0697, aux.acc_seg: 75.9188, loss: 0.2204 +2022-02-28 05:53:29,132 - mmseg - INFO - Iter [122300/160000] lr: 4.713e-06, eta: 2:36:50, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1449, decode.acc_seg: 75.5070, aux.loss_ce: 0.0665, aux.acc_seg: 74.8877, loss: 0.2114 +2022-02-28 05:53:41,745 - mmseg - INFO - Iter [122350/160000] lr: 4.706e-06, eta: 2:36:37, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1387, decode.acc_seg: 75.2821, aux.loss_ce: 0.0644, aux.acc_seg: 74.6120, loss: 0.2031 +2022-02-28 05:53:54,029 - mmseg - INFO - Iter [122400/160000] lr: 4.700e-06, eta: 2:36:25, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1549, decode.acc_seg: 76.0359, aux.loss_ce: 0.0716, aux.acc_seg: 75.4339, loss: 0.2265 +2022-02-28 05:54:06,198 - mmseg - INFO - Iter [122450/160000] lr: 4.694e-06, eta: 2:36:12, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1455, decode.acc_seg: 76.2669, aux.loss_ce: 0.0674, aux.acc_seg: 75.5683, loss: 0.2129 +2022-02-28 05:54:18,591 - mmseg - INFO - Iter [122500/160000] lr: 4.688e-06, eta: 2:35:59, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1369, decode.acc_seg: 74.3303, aux.loss_ce: 0.0629, aux.acc_seg: 73.7335, loss: 0.1998 +2022-02-28 05:54:33,138 - mmseg - INFO - Iter [122550/160000] lr: 4.681e-06, eta: 2:35:48, time: 0.291, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1462, decode.acc_seg: 76.4481, aux.loss_ce: 0.0670, aux.acc_seg: 75.8884, loss: 0.2133 +2022-02-28 05:54:45,364 - mmseg - INFO - Iter [122600/160000] lr: 4.675e-06, eta: 2:35:35, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1375, decode.acc_seg: 74.4506, aux.loss_ce: 0.0633, aux.acc_seg: 73.8866, loss: 0.2007 +2022-02-28 05:54:57,529 - mmseg - INFO - Iter [122650/160000] lr: 4.669e-06, eta: 2:35:22, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1385, decode.acc_seg: 76.3828, aux.loss_ce: 0.0641, aux.acc_seg: 75.7282, loss: 0.2026 +2022-02-28 05:55:09,877 - mmseg - INFO - Iter [122700/160000] lr: 4.663e-06, eta: 2:35:10, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1429, decode.acc_seg: 76.8181, aux.loss_ce: 0.0663, aux.acc_seg: 76.1674, loss: 0.2092 +2022-02-28 05:55:22,224 - mmseg - INFO - Iter [122750/160000] lr: 4.656e-06, eta: 2:34:57, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1506, decode.acc_seg: 75.1970, aux.loss_ce: 0.0702, aux.acc_seg: 74.4789, loss: 0.2209 +2022-02-28 05:55:34,522 - mmseg - INFO - Iter [122800/160000] lr: 4.650e-06, eta: 2:34:45, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1407, decode.acc_seg: 75.5502, aux.loss_ce: 0.0648, aux.acc_seg: 74.8843, loss: 0.2055 +2022-02-28 05:55:46,958 - mmseg - INFO - Iter [122850/160000] lr: 4.644e-06, eta: 2:34:32, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1545, decode.acc_seg: 77.6408, aux.loss_ce: 0.0715, aux.acc_seg: 76.9727, loss: 0.2260 +2022-02-28 05:55:59,232 - mmseg - INFO - Iter [122900/160000] lr: 4.638e-06, eta: 2:34:20, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1492, decode.acc_seg: 77.1048, aux.loss_ce: 0.0688, aux.acc_seg: 76.4917, loss: 0.2180 +2022-02-28 05:56:11,447 - mmseg - INFO - Iter [122950/160000] lr: 4.631e-06, eta: 2:34:07, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1378, decode.acc_seg: 74.7254, aux.loss_ce: 0.0638, aux.acc_seg: 74.0841, loss: 0.2017 +2022-02-28 05:56:23,683 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 05:56:23,683 - mmseg - INFO - Iter [123000/160000] lr: 4.625e-06, eta: 2:33:55, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1467, decode.acc_seg: 74.2404, aux.loss_ce: 0.0688, aux.acc_seg: 73.5327, loss: 0.2155 +2022-02-28 05:56:35,843 - mmseg - INFO - Iter [123050/160000] lr: 4.619e-06, eta: 2:33:42, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1367, decode.acc_seg: 74.1400, aux.loss_ce: 0.0623, aux.acc_seg: 73.6422, loss: 0.1990 +2022-02-28 05:56:48,110 - mmseg - INFO - Iter [123100/160000] lr: 4.613e-06, eta: 2:33:30, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1468, decode.acc_seg: 75.3408, aux.loss_ce: 0.0676, aux.acc_seg: 74.6620, loss: 0.2144 +2022-02-28 05:57:00,382 - mmseg - INFO - Iter [123150/160000] lr: 4.606e-06, eta: 2:33:17, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1474, decode.acc_seg: 76.2447, aux.loss_ce: 0.0679, aux.acc_seg: 75.6306, loss: 0.2153 +2022-02-28 05:57:12,593 - mmseg - INFO - Iter [123200/160000] lr: 4.600e-06, eta: 2:33:05, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1433, decode.acc_seg: 76.3335, aux.loss_ce: 0.0679, aux.acc_seg: 75.4958, loss: 0.2112 +2022-02-28 05:57:24,789 - mmseg - INFO - Iter [123250/160000] lr: 4.594e-06, eta: 2:32:52, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1511, decode.acc_seg: 76.1429, aux.loss_ce: 0.0699, aux.acc_seg: 75.4449, loss: 0.2210 +2022-02-28 05:57:37,151 - mmseg - INFO - Iter [123300/160000] lr: 4.588e-06, eta: 2:32:39, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1406, decode.acc_seg: 75.6264, aux.loss_ce: 0.0649, aux.acc_seg: 75.0519, loss: 0.2055 +2022-02-28 05:57:49,475 - mmseg - INFO - Iter [123350/160000] lr: 4.581e-06, eta: 2:32:27, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1553, decode.acc_seg: 75.9304, aux.loss_ce: 0.0717, aux.acc_seg: 75.2706, loss: 0.2270 +2022-02-28 05:58:01,790 - mmseg - INFO - Iter [123400/160000] lr: 4.575e-06, eta: 2:32:14, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1577, decode.acc_seg: 76.2192, aux.loss_ce: 0.0716, aux.acc_seg: 75.6608, loss: 0.2293 +2022-02-28 05:58:14,007 - mmseg - INFO - Iter [123450/160000] lr: 4.569e-06, eta: 2:32:02, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1479, decode.acc_seg: 77.0574, aux.loss_ce: 0.0679, aux.acc_seg: 76.3585, loss: 0.2158 +2022-02-28 05:58:26,364 - mmseg - INFO - Iter [123500/160000] lr: 4.563e-06, eta: 2:31:49, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1485, decode.acc_seg: 75.5482, aux.loss_ce: 0.0681, aux.acc_seg: 74.8984, loss: 0.2167 +2022-02-28 05:58:38,593 - mmseg - INFO - Iter [123550/160000] lr: 4.556e-06, eta: 2:31:37, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1569, decode.acc_seg: 75.4808, aux.loss_ce: 0.0722, aux.acc_seg: 74.8170, loss: 0.2291 +2022-02-28 05:58:50,999 - mmseg - INFO - Iter [123600/160000] lr: 4.550e-06, eta: 2:31:24, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1445, decode.acc_seg: 74.6571, aux.loss_ce: 0.0661, aux.acc_seg: 74.0959, loss: 0.2106 +2022-02-28 05:59:03,359 - mmseg - INFO - Iter [123650/160000] lr: 4.544e-06, eta: 2:31:12, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1410, decode.acc_seg: 76.2459, aux.loss_ce: 0.0646, aux.acc_seg: 75.6000, loss: 0.2057 +2022-02-28 05:59:15,656 - mmseg - INFO - Iter [123700/160000] lr: 4.538e-06, eta: 2:30:59, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1452, decode.acc_seg: 74.9125, aux.loss_ce: 0.0677, aux.acc_seg: 74.2289, loss: 0.2129 +2022-02-28 05:59:27,850 - mmseg - INFO - Iter [123750/160000] lr: 4.531e-06, eta: 2:30:47, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1442, decode.acc_seg: 75.0828, aux.loss_ce: 0.0667, aux.acc_seg: 74.4556, loss: 0.2109 +2022-02-28 05:59:42,364 - mmseg - INFO - Iter [123800/160000] lr: 4.525e-06, eta: 2:30:35, time: 0.290, data_time: 0.047, memory: 56778, decode.loss_ce: 0.1460, decode.acc_seg: 76.6442, aux.loss_ce: 0.0674, aux.acc_seg: 75.9833, loss: 0.2134 +2022-02-28 05:59:54,879 - mmseg - INFO - Iter [123850/160000] lr: 4.519e-06, eta: 2:30:22, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1348, decode.acc_seg: 74.6895, aux.loss_ce: 0.0627, aux.acc_seg: 74.0843, loss: 0.1976 +2022-02-28 06:00:07,194 - mmseg - INFO - Iter [123900/160000] lr: 4.513e-06, eta: 2:30:10, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1460, decode.acc_seg: 73.8903, aux.loss_ce: 0.0676, aux.acc_seg: 73.2502, loss: 0.2136 +2022-02-28 06:00:19,815 - mmseg - INFO - Iter [123950/160000] lr: 4.506e-06, eta: 2:29:57, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1357, decode.acc_seg: 76.0733, aux.loss_ce: 0.0630, aux.acc_seg: 75.3924, loss: 0.1987 +2022-02-28 06:00:32,224 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 06:00:32,224 - mmseg - INFO - Iter [124000/160000] lr: 4.500e-06, eta: 2:29:45, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1374, decode.acc_seg: 76.4514, aux.loss_ce: 0.0633, aux.acc_seg: 75.8445, loss: 0.2007 +2022-02-28 06:00:44,365 - mmseg - INFO - Iter [124050/160000] lr: 4.494e-06, eta: 2:29:32, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1515, decode.acc_seg: 77.9152, aux.loss_ce: 0.0701, aux.acc_seg: 77.1910, loss: 0.2215 +2022-02-28 06:00:56,587 - mmseg - INFO - Iter [124100/160000] lr: 4.488e-06, eta: 2:29:20, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1552, decode.acc_seg: 75.5733, aux.loss_ce: 0.0706, aux.acc_seg: 74.9280, loss: 0.2257 +2022-02-28 06:01:09,065 - mmseg - INFO - Iter [124150/160000] lr: 4.481e-06, eta: 2:29:07, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1464, decode.acc_seg: 77.1413, aux.loss_ce: 0.0678, aux.acc_seg: 76.5234, loss: 0.2142 +2022-02-28 06:01:21,754 - mmseg - INFO - Iter [124200/160000] lr: 4.475e-06, eta: 2:28:55, time: 0.254, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1351, decode.acc_seg: 76.3463, aux.loss_ce: 0.0625, aux.acc_seg: 75.7132, loss: 0.1976 +2022-02-28 06:01:33,976 - mmseg - INFO - Iter [124250/160000] lr: 4.469e-06, eta: 2:28:42, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1436, decode.acc_seg: 75.7161, aux.loss_ce: 0.0658, aux.acc_seg: 75.1075, loss: 0.2094 +2022-02-28 06:01:46,169 - mmseg - INFO - Iter [124300/160000] lr: 4.463e-06, eta: 2:28:30, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1530, decode.acc_seg: 75.8830, aux.loss_ce: 0.0705, aux.acc_seg: 75.2550, loss: 0.2235 +2022-02-28 06:01:58,394 - mmseg - INFO - Iter [124350/160000] lr: 4.456e-06, eta: 2:28:17, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1519, decode.acc_seg: 75.5710, aux.loss_ce: 0.0698, aux.acc_seg: 74.9685, loss: 0.2217 +2022-02-28 06:02:10,613 - mmseg - INFO - Iter [124400/160000] lr: 4.450e-06, eta: 2:28:05, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1543, decode.acc_seg: 74.7238, aux.loss_ce: 0.0697, aux.acc_seg: 74.2013, loss: 0.2240 +2022-02-28 06:02:22,859 - mmseg - INFO - Iter [124450/160000] lr: 4.444e-06, eta: 2:27:52, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1419, decode.acc_seg: 74.9761, aux.loss_ce: 0.0657, aux.acc_seg: 74.3562, loss: 0.2076 +2022-02-28 06:02:35,280 - mmseg - INFO - Iter [124500/160000] lr: 4.438e-06, eta: 2:27:40, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1443, decode.acc_seg: 75.6753, aux.loss_ce: 0.0670, aux.acc_seg: 75.0149, loss: 0.2112 +2022-02-28 06:02:47,414 - mmseg - INFO - Iter [124550/160000] lr: 4.431e-06, eta: 2:27:27, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1360, decode.acc_seg: 76.3134, aux.loss_ce: 0.0623, aux.acc_seg: 75.7406, loss: 0.1983 +2022-02-28 06:02:59,823 - mmseg - INFO - Iter [124600/160000] lr: 4.425e-06, eta: 2:27:14, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1450, decode.acc_seg: 74.4437, aux.loss_ce: 0.0673, aux.acc_seg: 73.8255, loss: 0.2123 +2022-02-28 06:03:12,040 - mmseg - INFO - Iter [124650/160000] lr: 4.419e-06, eta: 2:27:02, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1423, decode.acc_seg: 76.3034, aux.loss_ce: 0.0647, aux.acc_seg: 75.8669, loss: 0.2071 +2022-02-28 06:03:24,305 - mmseg - INFO - Iter [124700/160000] lr: 4.413e-06, eta: 2:26:49, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1495, decode.acc_seg: 76.1252, aux.loss_ce: 0.0687, aux.acc_seg: 75.5220, loss: 0.2182 +2022-02-28 06:03:36,555 - mmseg - INFO - Iter [124750/160000] lr: 4.406e-06, eta: 2:26:37, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1471, decode.acc_seg: 74.8696, aux.loss_ce: 0.0682, aux.acc_seg: 74.2065, loss: 0.2153 +2022-02-28 06:03:48,803 - mmseg - INFO - Iter [124800/160000] lr: 4.400e-06, eta: 2:26:24, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1467, decode.acc_seg: 75.6111, aux.loss_ce: 0.0668, aux.acc_seg: 75.0784, loss: 0.2134 +2022-02-28 06:04:01,016 - mmseg - INFO - Iter [124850/160000] lr: 4.394e-06, eta: 2:26:12, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1527, decode.acc_seg: 75.7668, aux.loss_ce: 0.0707, aux.acc_seg: 75.0912, loss: 0.2234 +2022-02-28 06:04:13,289 - mmseg - INFO - Iter [124900/160000] lr: 4.388e-06, eta: 2:25:59, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1429, decode.acc_seg: 76.1143, aux.loss_ce: 0.0660, aux.acc_seg: 75.4445, loss: 0.2089 +2022-02-28 06:04:25,507 - mmseg - INFO - Iter [124950/160000] lr: 4.381e-06, eta: 2:25:47, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1438, decode.acc_seg: 76.0999, aux.loss_ce: 0.0668, aux.acc_seg: 75.3708, loss: 0.2106 +2022-02-28 06:04:37,731 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 06:04:37,731 - mmseg - INFO - Iter [125000/160000] lr: 4.375e-06, eta: 2:25:34, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1428, decode.acc_seg: 75.1469, aux.loss_ce: 0.0658, aux.acc_seg: 74.5174, loss: 0.2086 +2022-02-28 06:04:52,465 - mmseg - INFO - Iter [125050/160000] lr: 4.369e-06, eta: 2:25:22, time: 0.295, data_time: 0.049, memory: 56778, decode.loss_ce: 0.1462, decode.acc_seg: 75.0531, aux.loss_ce: 0.0680, aux.acc_seg: 74.2989, loss: 0.2142 +2022-02-28 06:05:04,790 - mmseg - INFO - Iter [125100/160000] lr: 4.363e-06, eta: 2:25:10, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1461, decode.acc_seg: 75.0497, aux.loss_ce: 0.0671, aux.acc_seg: 74.4162, loss: 0.2132 +2022-02-28 06:05:17,369 - mmseg - INFO - Iter [125150/160000] lr: 4.356e-06, eta: 2:24:57, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1551, decode.acc_seg: 76.6018, aux.loss_ce: 0.0719, aux.acc_seg: 75.8552, loss: 0.2270 +2022-02-28 06:05:29,659 - mmseg - INFO - Iter [125200/160000] lr: 4.350e-06, eta: 2:24:45, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1400, decode.acc_seg: 76.0418, aux.loss_ce: 0.0643, aux.acc_seg: 75.4472, loss: 0.2043 +2022-02-28 06:05:41,999 - mmseg - INFO - Iter [125250/160000] lr: 4.344e-06, eta: 2:24:32, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1310, decode.acc_seg: 76.8855, aux.loss_ce: 0.0613, aux.acc_seg: 76.2695, loss: 0.1923 +2022-02-28 06:05:54,277 - mmseg - INFO - Iter [125300/160000] lr: 4.338e-06, eta: 2:24:20, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1530, decode.acc_seg: 75.5885, aux.loss_ce: 0.0704, aux.acc_seg: 74.8950, loss: 0.2234 +2022-02-28 06:06:06,601 - mmseg - INFO - Iter [125350/160000] lr: 4.331e-06, eta: 2:24:07, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1405, decode.acc_seg: 74.5901, aux.loss_ce: 0.0645, aux.acc_seg: 74.0358, loss: 0.2050 +2022-02-28 06:06:18,964 - mmseg - INFO - Iter [125400/160000] lr: 4.325e-06, eta: 2:23:55, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1412, decode.acc_seg: 77.3019, aux.loss_ce: 0.0651, aux.acc_seg: 76.6834, loss: 0.2063 +2022-02-28 06:06:31,163 - mmseg - INFO - Iter [125450/160000] lr: 4.319e-06, eta: 2:23:42, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1428, decode.acc_seg: 77.4699, aux.loss_ce: 0.0669, aux.acc_seg: 76.7420, loss: 0.2097 +2022-02-28 06:06:43,369 - mmseg - INFO - Iter [125500/160000] lr: 4.313e-06, eta: 2:23:30, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1467, decode.acc_seg: 74.9145, aux.loss_ce: 0.0676, aux.acc_seg: 74.2584, loss: 0.2143 +2022-02-28 06:06:55,559 - mmseg - INFO - Iter [125550/160000] lr: 4.306e-06, eta: 2:23:17, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1455, decode.acc_seg: 76.0832, aux.loss_ce: 0.0666, aux.acc_seg: 75.4491, loss: 0.2121 +2022-02-28 06:07:07,758 - mmseg - INFO - Iter [125600/160000] lr: 4.300e-06, eta: 2:23:04, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1493, decode.acc_seg: 75.2468, aux.loss_ce: 0.0681, aux.acc_seg: 74.6640, loss: 0.2174 +2022-02-28 06:07:20,190 - mmseg - INFO - Iter [125650/160000] lr: 4.294e-06, eta: 2:22:52, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1397, decode.acc_seg: 74.7510, aux.loss_ce: 0.0644, aux.acc_seg: 74.1994, loss: 0.2041 +2022-02-28 06:07:32,365 - mmseg - INFO - Iter [125700/160000] lr: 4.288e-06, eta: 2:22:39, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1455, decode.acc_seg: 76.0041, aux.loss_ce: 0.0670, aux.acc_seg: 75.3968, loss: 0.2126 +2022-02-28 06:07:44,620 - mmseg - INFO - Iter [125750/160000] lr: 4.281e-06, eta: 2:22:27, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1488, decode.acc_seg: 76.6877, aux.loss_ce: 0.0683, aux.acc_seg: 76.0377, loss: 0.2170 +2022-02-28 06:07:57,039 - mmseg - INFO - Iter [125800/160000] lr: 4.275e-06, eta: 2:22:14, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1482, decode.acc_seg: 76.9695, aux.loss_ce: 0.0670, aux.acc_seg: 76.3910, loss: 0.2152 +2022-02-28 06:08:09,275 - mmseg - INFO - Iter [125850/160000] lr: 4.269e-06, eta: 2:22:02, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1500, decode.acc_seg: 76.0917, aux.loss_ce: 0.0686, aux.acc_seg: 75.4904, loss: 0.2186 +2022-02-28 06:08:21,517 - mmseg - INFO - Iter [125900/160000] lr: 4.263e-06, eta: 2:21:49, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1435, decode.acc_seg: 76.6416, aux.loss_ce: 0.0664, aux.acc_seg: 75.9779, loss: 0.2099 +2022-02-28 06:08:33,805 - mmseg - INFO - Iter [125950/160000] lr: 4.256e-06, eta: 2:21:37, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1403, decode.acc_seg: 76.7512, aux.loss_ce: 0.0648, aux.acc_seg: 76.0871, loss: 0.2052 +2022-02-28 06:08:46,112 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 06:08:46,112 - mmseg - INFO - Iter [126000/160000] lr: 4.250e-06, eta: 2:21:24, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1497, decode.acc_seg: 73.8481, aux.loss_ce: 0.0692, aux.acc_seg: 73.1661, loss: 0.2189 +2022-02-28 06:08:58,400 - mmseg - INFO - Iter [126050/160000] lr: 4.244e-06, eta: 2:21:12, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1443, decode.acc_seg: 75.9759, aux.loss_ce: 0.0657, aux.acc_seg: 75.3421, loss: 0.2100 +2022-02-28 06:09:10,603 - mmseg - INFO - Iter [126100/160000] lr: 4.238e-06, eta: 2:20:59, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1353, decode.acc_seg: 76.5365, aux.loss_ce: 0.0628, aux.acc_seg: 75.9328, loss: 0.1981 +2022-02-28 06:09:22,812 - mmseg - INFO - Iter [126150/160000] lr: 4.231e-06, eta: 2:20:47, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1464, decode.acc_seg: 74.7324, aux.loss_ce: 0.0676, aux.acc_seg: 74.1525, loss: 0.2140 +2022-02-28 06:09:34,991 - mmseg - INFO - Iter [126200/160000] lr: 4.225e-06, eta: 2:20:34, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1362, decode.acc_seg: 75.6804, aux.loss_ce: 0.0628, aux.acc_seg: 75.0997, loss: 0.1990 +2022-02-28 06:09:47,128 - mmseg - INFO - Iter [126250/160000] lr: 4.219e-06, eta: 2:20:21, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1441, decode.acc_seg: 75.1169, aux.loss_ce: 0.0667, aux.acc_seg: 74.5123, loss: 0.2108 +2022-02-28 06:09:59,363 - mmseg - INFO - Iter [126300/160000] lr: 4.213e-06, eta: 2:20:09, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1549, decode.acc_seg: 76.1049, aux.loss_ce: 0.0710, aux.acc_seg: 75.3916, loss: 0.2260 +2022-02-28 06:10:14,234 - mmseg - INFO - Iter [126350/160000] lr: 4.206e-06, eta: 2:19:57, time: 0.297, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1486, decode.acc_seg: 75.4619, aux.loss_ce: 0.0689, aux.acc_seg: 74.7318, loss: 0.2175 +2022-02-28 06:10:26,655 - mmseg - INFO - Iter [126400/160000] lr: 4.200e-06, eta: 2:19:45, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1372, decode.acc_seg: 75.8973, aux.loss_ce: 0.0633, aux.acc_seg: 75.2604, loss: 0.2005 +2022-02-28 06:10:38,886 - mmseg - INFO - Iter [126450/160000] lr: 4.194e-06, eta: 2:19:32, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1425, decode.acc_seg: 76.1568, aux.loss_ce: 0.0661, aux.acc_seg: 75.5831, loss: 0.2086 +2022-02-28 06:10:51,059 - mmseg - INFO - Iter [126500/160000] lr: 4.188e-06, eta: 2:19:19, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1340, decode.acc_seg: 77.0614, aux.loss_ce: 0.0616, aux.acc_seg: 76.5056, loss: 0.1956 +2022-02-28 06:11:03,385 - mmseg - INFO - Iter [126550/160000] lr: 4.181e-06, eta: 2:19:07, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1388, decode.acc_seg: 75.4728, aux.loss_ce: 0.0648, aux.acc_seg: 74.7596, loss: 0.2036 +2022-02-28 06:11:15,636 - mmseg - INFO - Iter [126600/160000] lr: 4.175e-06, eta: 2:18:54, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1403, decode.acc_seg: 77.8370, aux.loss_ce: 0.0658, aux.acc_seg: 77.1860, loss: 0.2061 +2022-02-28 06:11:27,796 - mmseg - INFO - Iter [126650/160000] lr: 4.169e-06, eta: 2:18:42, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1452, decode.acc_seg: 74.9037, aux.loss_ce: 0.0666, aux.acc_seg: 74.2756, loss: 0.2118 +2022-02-28 06:11:40,016 - mmseg - INFO - Iter [126700/160000] lr: 4.163e-06, eta: 2:18:29, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1429, decode.acc_seg: 74.7031, aux.loss_ce: 0.0656, aux.acc_seg: 74.1739, loss: 0.2086 +2022-02-28 06:11:52,288 - mmseg - INFO - Iter [126750/160000] lr: 4.156e-06, eta: 2:18:17, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1479, decode.acc_seg: 76.0653, aux.loss_ce: 0.0678, aux.acc_seg: 75.4849, loss: 0.2157 +2022-02-28 06:12:04,590 - mmseg - INFO - Iter [126800/160000] lr: 4.150e-06, eta: 2:18:04, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1454, decode.acc_seg: 76.4919, aux.loss_ce: 0.0670, aux.acc_seg: 75.8264, loss: 0.2125 +2022-02-28 06:12:16,820 - mmseg - INFO - Iter [126850/160000] lr: 4.144e-06, eta: 2:17:52, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1451, decode.acc_seg: 75.5707, aux.loss_ce: 0.0673, aux.acc_seg: 74.9517, loss: 0.2124 +2022-02-28 06:12:29,191 - mmseg - INFO - Iter [126900/160000] lr: 4.138e-06, eta: 2:17:39, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1387, decode.acc_seg: 75.2811, aux.loss_ce: 0.0640, aux.acc_seg: 74.7145, loss: 0.2027 +2022-02-28 06:12:41,356 - mmseg - INFO - Iter [126950/160000] lr: 4.131e-06, eta: 2:17:27, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1620, decode.acc_seg: 74.5341, aux.loss_ce: 0.0735, aux.acc_seg: 73.9032, loss: 0.2355 +2022-02-28 06:12:53,609 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 06:12:53,610 - mmseg - INFO - Iter [127000/160000] lr: 4.125e-06, eta: 2:17:14, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1508, decode.acc_seg: 76.1444, aux.loss_ce: 0.0686, aux.acc_seg: 75.5746, loss: 0.2193 +2022-02-28 06:13:05,833 - mmseg - INFO - Iter [127050/160000] lr: 4.119e-06, eta: 2:17:02, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1484, decode.acc_seg: 76.3132, aux.loss_ce: 0.0689, aux.acc_seg: 75.6520, loss: 0.2173 +2022-02-28 06:13:18,538 - mmseg - INFO - Iter [127100/160000] lr: 4.113e-06, eta: 2:16:49, time: 0.254, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1436, decode.acc_seg: 76.0170, aux.loss_ce: 0.0661, aux.acc_seg: 75.4235, loss: 0.2098 +2022-02-28 06:13:30,890 - mmseg - INFO - Iter [127150/160000] lr: 4.106e-06, eta: 2:16:37, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1432, decode.acc_seg: 74.3071, aux.loss_ce: 0.0666, aux.acc_seg: 73.6336, loss: 0.2098 +2022-02-28 06:13:43,425 - mmseg - INFO - Iter [127200/160000] lr: 4.100e-06, eta: 2:16:24, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1359, decode.acc_seg: 75.2042, aux.loss_ce: 0.0627, aux.acc_seg: 74.6640, loss: 0.1985 +2022-02-28 06:13:55,889 - mmseg - INFO - Iter [127250/160000] lr: 4.094e-06, eta: 2:16:12, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1439, decode.acc_seg: 75.6698, aux.loss_ce: 0.0669, aux.acc_seg: 74.9907, loss: 0.2108 +2022-02-28 06:14:08,281 - mmseg - INFO - Iter [127300/160000] lr: 4.088e-06, eta: 2:15:59, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1501, decode.acc_seg: 75.6289, aux.loss_ce: 0.0699, aux.acc_seg: 74.9849, loss: 0.2200 +2022-02-28 06:14:20,609 - mmseg - INFO - Iter [127350/160000] lr: 4.081e-06, eta: 2:15:47, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1366, decode.acc_seg: 75.4757, aux.loss_ce: 0.0632, aux.acc_seg: 74.8416, loss: 0.1998 +2022-02-28 06:14:32,987 - mmseg - INFO - Iter [127400/160000] lr: 4.075e-06, eta: 2:15:34, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1363, decode.acc_seg: 74.7557, aux.loss_ce: 0.0642, aux.acc_seg: 74.0027, loss: 0.2006 +2022-02-28 06:14:45,259 - mmseg - INFO - Iter [127450/160000] lr: 4.069e-06, eta: 2:15:22, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1419, decode.acc_seg: 75.8142, aux.loss_ce: 0.0661, aux.acc_seg: 75.1707, loss: 0.2079 +2022-02-28 06:14:57,433 - mmseg - INFO - Iter [127500/160000] lr: 4.063e-06, eta: 2:15:09, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1411, decode.acc_seg: 77.4053, aux.loss_ce: 0.0650, aux.acc_seg: 76.8348, loss: 0.2061 +2022-02-28 06:15:09,641 - mmseg - INFO - Iter [127550/160000] lr: 4.056e-06, eta: 2:14:57, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1377, decode.acc_seg: 76.9702, aux.loss_ce: 0.0636, aux.acc_seg: 76.4005, loss: 0.2013 +2022-02-28 06:15:24,268 - mmseg - INFO - Iter [127600/160000] lr: 4.050e-06, eta: 2:14:45, time: 0.293, data_time: 0.048, memory: 56778, decode.loss_ce: 0.1449, decode.acc_seg: 76.3260, aux.loss_ce: 0.0660, aux.acc_seg: 75.7686, loss: 0.2109 +2022-02-28 06:15:36,575 - mmseg - INFO - Iter [127650/160000] lr: 4.044e-06, eta: 2:14:32, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1379, decode.acc_seg: 76.0119, aux.loss_ce: 0.0637, aux.acc_seg: 75.4052, loss: 0.2016 +2022-02-28 06:15:48,817 - mmseg - INFO - Iter [127700/160000] lr: 4.038e-06, eta: 2:14:20, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1457, decode.acc_seg: 75.2279, aux.loss_ce: 0.0674, aux.acc_seg: 74.5893, loss: 0.2131 +2022-02-28 06:16:01,099 - mmseg - INFO - Iter [127750/160000] lr: 4.031e-06, eta: 2:14:07, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1493, decode.acc_seg: 76.9881, aux.loss_ce: 0.0697, aux.acc_seg: 76.2832, loss: 0.2190 +2022-02-28 06:16:13,570 - mmseg - INFO - Iter [127800/160000] lr: 4.025e-06, eta: 2:13:55, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1337, decode.acc_seg: 76.1405, aux.loss_ce: 0.0614, aux.acc_seg: 75.6241, loss: 0.1951 +2022-02-28 06:16:25,984 - mmseg - INFO - Iter [127850/160000] lr: 4.019e-06, eta: 2:13:42, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1401, decode.acc_seg: 75.2191, aux.loss_ce: 0.0651, aux.acc_seg: 74.5566, loss: 0.2052 +2022-02-28 06:16:38,175 - mmseg - INFO - Iter [127900/160000] lr: 4.013e-06, eta: 2:13:30, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1510, decode.acc_seg: 76.6483, aux.loss_ce: 0.0695, aux.acc_seg: 76.0261, loss: 0.2204 +2022-02-28 06:16:50,925 - mmseg - INFO - Iter [127950/160000] lr: 4.006e-06, eta: 2:13:17, time: 0.255, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1374, decode.acc_seg: 76.0702, aux.loss_ce: 0.0629, aux.acc_seg: 75.5326, loss: 0.2002 +2022-02-28 06:17:03,465 - mmseg - INFO - Saving checkpoint at 128000 iterations +2022-02-28 06:17:06,482 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 06:17:06,482 - mmseg - INFO - Iter [128000/160000] lr: 4.000e-06, eta: 2:13:05, time: 0.311, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1389, decode.acc_seg: 74.7695, aux.loss_ce: 0.0647, aux.acc_seg: 74.1061, loss: 0.2036 +2022-02-28 06:17:27,090 - mmseg - INFO - per class results: +2022-02-28 06:17:27,096 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 77.9 | 88.81 | +| building | 83.16 | 93.41 | +| sky | 94.61 | 97.77 | +| floor | 81.65 | 90.76 | +| tree | 74.52 | 88.05 | +| ceiling | 83.51 | 93.18 | +| road | 84.44 | 90.74 | +| bed | 89.3 | 96.27 | +| windowpane | 62.97 | 78.35 | +| grass | 68.61 | 84.35 | +| cabinet | 63.42 | 74.68 | +| sidewalk | 69.23 | 84.83 | +| person | 82.52 | 93.47 | +| earth | 39.49 | 53.1 | +| door | 49.39 | 63.36 | +| table | 64.67 | 79.67 | +| mountain | 58.18 | 72.05 | +| plant | 48.77 | 60.54 | +| curtain | 76.94 | 86.23 | +| chair | 58.98 | 72.72 | +| car | 84.03 | 93.21 | +| water | 59.64 | 75.5 | +| painting | 75.44 | 88.34 | +| sofa | 69.57 | 89.21 | +| shelf | 42.13 | 57.41 | +| house | 49.46 | 55.73 | +| sea | 66.99 | 83.34 | +| mirror | 69.5 | 75.52 | +| rug | 66.03 | 76.84 | +| field | 31.36 | 43.4 | +| armchair | 43.88 | 59.98 | +| seat | 61.88 | 82.05 | +| fence | 46.42 | 62.41 | +| desk | 53.29 | 71.55 | +| rock | 39.3 | 60.98 | +| wardrobe | 48.5 | 63.0 | +| lamp | 65.7 | 77.33 | +| bathtub | 82.95 | 87.24 | +| railing | 34.51 | 46.66 | +| cushion | 58.36 | 73.45 | +| base | 34.23 | 47.38 | +| box | 27.39 | 35.56 | +| column | 44.6 | 56.6 | +| signboard | 35.96 | 52.76 | +| chest of drawers | 42.14 | 56.76 | +| counter | 34.31 | 42.4 | +| sand | 53.77 | 76.02 | +| sink | 75.67 | 81.95 | +| skyscraper | 53.18 | 67.25 | +| fireplace | 79.35 | 90.58 | +| refrigerator | 76.3 | 81.04 | +| grandstand | 42.67 | 68.19 | +| path | 29.6 | 37.89 | +| stairs | 29.29 | 36.77 | +| runway | 65.16 | 86.36 | +| case | 55.0 | 71.3 | +| pool table | 93.17 | 96.96 | +| pillow | 54.86 | 61.86 | +| screen door | 71.1 | 72.59 | +| stairway | 26.75 | 37.56 | +| river | 13.08 | 28.31 | +| bridge | 72.65 | 81.61 | +| bookcase | 45.17 | 69.72 | +| blind | 43.4 | 47.93 | +| coffee table | 67.13 | 84.58 | +| toilet | 86.49 | 90.51 | +| flower | 45.22 | 58.38 | +| book | 50.94 | 68.28 | +| hill | 14.2 | 21.93 | +| bench | 42.02 | 50.47 | +| countertop | 60.99 | 80.02 | +| stove | 79.75 | 85.62 | +| palm | 52.42 | 79.01 | +| kitchen island | 44.82 | 76.59 | +| computer | 72.05 | 82.57 | +| swivel chair | 43.09 | 55.5 | +| boat | 46.43 | 51.91 | +| bar | 26.45 | 31.52 | +| arcade machine | 41.89 | 44.45 | +| hovel | 65.24 | 69.6 | +| bus | 87.62 | 95.56 | +| towel | 71.44 | 83.33 | +| light | 56.49 | 63.49 | +| truck | 34.63 | 41.1 | +| tower | 13.14 | 20.18 | +| chandelier | 69.64 | 81.34 | +| awning | 30.21 | 33.3 | +| streetlight | 28.13 | 33.84 | +| booth | 50.41 | 60.82 | +| television receiver | 69.36 | 82.93 | +| airplane | 60.82 | 67.46 | +| dirt track | 3.0 | 13.16 | +| apparel | 41.76 | 56.14 | +| pole | 30.16 | 43.45 | +| land | 1.27 | 2.41 | +| bannister | 18.85 | 24.38 | +| escalator | 35.01 | 45.03 | +| ottoman | 55.27 | 68.12 | +| bottle | 37.32 | 60.14 | +| buffet | 40.73 | 45.28 | +| poster | 31.91 | 40.24 | +| stage | 19.54 | 28.53 | +| van | 43.28 | 55.13 | +| ship | 42.27 | 62.79 | +| fountain | 32.64 | 33.73 | +| conveyer belt | 71.77 | 89.37 | +| canopy | 35.5 | 45.93 | +| washer | 76.47 | 80.7 | +| plaything | 30.19 | 37.71 | +| swimming pool | 60.42 | 61.53 | +| stool | 50.91 | 67.28 | +| barrel | 57.47 | 72.77 | +| basket | 38.85 | 52.65 | +| waterfall | 53.63 | 58.71 | +| tent | 86.74 | 98.31 | +| bag | 18.87 | 24.56 | +| minibike | 67.38 | 85.77 | +| cradle | 85.45 | 97.82 | +| oven | 56.09 | 70.91 | +| ball | 48.94 | 68.95 | +| food | 54.97 | 66.15 | +| step | 14.61 | 16.87 | +| tank | 57.42 | 58.82 | +| trade name | 23.91 | 29.84 | +| microwave | 83.02 | 87.82 | +| pot | 44.24 | 50.3 | +| animal | 57.25 | 59.68 | +| bicycle | 58.14 | 79.74 | +| lake | 58.44 | 63.7 | +| dishwasher | 68.03 | 76.16 | +| screen | 57.8 | 74.07 | +| blanket | 13.49 | 16.75 | +| sculpture | 65.51 | 86.83 | +| hood | 61.36 | 70.3 | +| sconce | 50.85 | 63.54 | +| vase | 44.39 | 59.83 | +| traffic light | 33.51 | 50.84 | +| tray | 12.37 | 15.88 | +| ashcan | 46.92 | 62.14 | +| fan | 66.42 | 78.41 | +| pier | 39.25 | 49.07 | +| crt screen | 15.68 | 22.89 | +| plate | 58.26 | 72.96 | +| monitor | 52.07 | 76.64 | +| bulletin board | 41.59 | 48.54 | +| shower | 4.14 | 7.18 | +| radiator | 58.2 | 62.52 | +| glass | 14.76 | 16.59 | +| clock | 30.01 | 37.19 | +| flag | 57.92 | 63.63 | ++---------------------+-------+-------+ +2022-02-28 06:17:27,097 - mmseg - INFO - Summary: +2022-02-28 06:17:27,097 - mmseg - INFO - ++------+-------+-------+ +| aAcc | mIoU | mAcc | ++------+-------+-------+ +| 83.9 | 51.91 | 63.08 | ++------+-------+-------+ +2022-02-28 06:17:27,102 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 06:17:27,103 - mmseg - INFO - Iter(val) [250] aAcc: 0.8390, mIoU: 0.5191, mAcc: 0.6308, IoU.wall: 0.7790, IoU.building: 0.8316, IoU.sky: 0.9461, IoU.floor: 0.8165, IoU.tree: 0.7452, IoU.ceiling: 0.8351, IoU.road: 0.8444, IoU.bed : 0.8930, IoU.windowpane: 0.6297, IoU.grass: 0.6861, IoU.cabinet: 0.6342, IoU.sidewalk: 0.6923, IoU.person: 0.8252, IoU.earth: 0.3949, IoU.door: 0.4939, IoU.table: 0.6467, IoU.mountain: 0.5818, IoU.plant: 0.4877, IoU.curtain: 0.7694, IoU.chair: 0.5898, IoU.car: 0.8403, IoU.water: 0.5964, IoU.painting: 0.7544, IoU.sofa: 0.6957, IoU.shelf: 0.4213, IoU.house: 0.4946, IoU.sea: 0.6699, IoU.mirror: 0.6950, IoU.rug: 0.6603, IoU.field: 0.3136, IoU.armchair: 0.4388, IoU.seat: 0.6188, IoU.fence: 0.4642, IoU.desk: 0.5329, IoU.rock: 0.3930, IoU.wardrobe: 0.4850, IoU.lamp: 0.6570, IoU.bathtub: 0.8295, IoU.railing: 0.3451, IoU.cushion: 0.5836, IoU.base: 0.3423, IoU.box: 0.2739, IoU.column: 0.4460, IoU.signboard: 0.3596, IoU.chest of drawers: 0.4214, IoU.counter: 0.3431, IoU.sand: 0.5377, IoU.sink: 0.7567, IoU.skyscraper: 0.5318, IoU.fireplace: 0.7935, IoU.refrigerator: 0.7630, IoU.grandstand: 0.4267, IoU.path: 0.2960, IoU.stairs: 0.2929, IoU.runway: 0.6516, IoU.case: 0.5500, IoU.pool table: 0.9317, IoU.pillow: 0.5486, IoU.screen door: 0.7110, IoU.stairway: 0.2675, IoU.river: 0.1308, IoU.bridge: 0.7265, IoU.bookcase: 0.4517, IoU.blind: 0.4340, IoU.coffee table: 0.6713, IoU.toilet: 0.8649, IoU.flower: 0.4522, IoU.book: 0.5094, IoU.hill: 0.1420, IoU.bench: 0.4202, IoU.countertop: 0.6099, IoU.stove: 0.7975, IoU.palm: 0.5242, IoU.kitchen island: 0.4482, IoU.computer: 0.7205, IoU.swivel chair: 0.4309, IoU.boat: 0.4643, IoU.bar: 0.2645, IoU.arcade machine: 0.4189, IoU.hovel: 0.6524, IoU.bus: 0.8762, IoU.towel: 0.7144, IoU.light: 0.5649, IoU.truck: 0.3463, IoU.tower: 0.1314, IoU.chandelier: 0.6964, IoU.awning: 0.3021, IoU.streetlight: 0.2813, IoU.booth: 0.5041, IoU.television receiver: 0.6936, IoU.airplane: 0.6082, IoU.dirt track: 0.0300, IoU.apparel: 0.4176, IoU.pole: 0.3016, IoU.land: 0.0127, IoU.bannister: 0.1885, IoU.escalator: 0.3501, IoU.ottoman: 0.5527, IoU.bottle: 0.3732, IoU.buffet: 0.4073, IoU.poster: 0.3191, IoU.stage: 0.1954, IoU.van: 0.4328, IoU.ship: 0.4227, IoU.fountain: 0.3264, IoU.conveyer belt: 0.7177, IoU.canopy: 0.3550, IoU.washer: 0.7647, IoU.plaything: 0.3019, IoU.swimming pool: 0.6042, IoU.stool: 0.5091, IoU.barrel: 0.5747, IoU.basket: 0.3885, IoU.waterfall: 0.5363, IoU.tent: 0.8674, IoU.bag: 0.1887, IoU.minibike: 0.6738, IoU.cradle: 0.8545, IoU.oven: 0.5609, IoU.ball: 0.4894, IoU.food: 0.5497, IoU.step: 0.1461, IoU.tank: 0.5742, IoU.trade name: 0.2391, IoU.microwave: 0.8302, IoU.pot: 0.4424, IoU.animal: 0.5725, IoU.bicycle: 0.5814, IoU.lake: 0.5844, IoU.dishwasher: 0.6803, IoU.screen: 0.5780, IoU.blanket: 0.1349, IoU.sculpture: 0.6551, IoU.hood: 0.6136, IoU.sconce: 0.5085, IoU.vase: 0.4439, IoU.traffic light: 0.3351, IoU.tray: 0.1237, IoU.ashcan: 0.4692, IoU.fan: 0.6642, IoU.pier: 0.3925, IoU.crt screen: 0.1568, IoU.plate: 0.5826, IoU.monitor: 0.5207, IoU.bulletin board: 0.4159, IoU.shower: 0.0414, IoU.radiator: 0.5820, IoU.glass: 0.1476, IoU.clock: 0.3001, IoU.flag: 0.5792, Acc.wall: 0.8881, Acc.building: 0.9341, Acc.sky: 0.9777, Acc.floor: 0.9076, Acc.tree: 0.8805, Acc.ceiling: 0.9318, Acc.road: 0.9074, Acc.bed : 0.9627, Acc.windowpane: 0.7835, Acc.grass: 0.8435, Acc.cabinet: 0.7468, Acc.sidewalk: 0.8483, Acc.person: 0.9347, Acc.earth: 0.5310, Acc.door: 0.6336, Acc.table: 0.7967, Acc.mountain: 0.7205, Acc.plant: 0.6054, Acc.curtain: 0.8623, Acc.chair: 0.7272, Acc.car: 0.9321, Acc.water: 0.7550, Acc.painting: 0.8834, Acc.sofa: 0.8921, Acc.shelf: 0.5741, Acc.house: 0.5573, Acc.sea: 0.8334, Acc.mirror: 0.7552, Acc.rug: 0.7684, Acc.field: 0.4340, Acc.armchair: 0.5998, Acc.seat: 0.8205, Acc.fence: 0.6241, Acc.desk: 0.7155, Acc.rock: 0.6098, Acc.wardrobe: 0.6300, Acc.lamp: 0.7733, Acc.bathtub: 0.8724, Acc.railing: 0.4666, Acc.cushion: 0.7345, Acc.base: 0.4738, Acc.box: 0.3556, Acc.column: 0.5660, Acc.signboard: 0.5276, Acc.chest of drawers: 0.5676, Acc.counter: 0.4240, Acc.sand: 0.7602, Acc.sink: 0.8195, Acc.skyscraper: 0.6725, Acc.fireplace: 0.9058, Acc.refrigerator: 0.8104, Acc.grandstand: 0.6819, Acc.path: 0.3789, Acc.stairs: 0.3677, Acc.runway: 0.8636, Acc.case: 0.7130, Acc.pool table: 0.9696, Acc.pillow: 0.6186, Acc.screen door: 0.7259, Acc.stairway: 0.3756, Acc.river: 0.2831, Acc.bridge: 0.8161, Acc.bookcase: 0.6972, Acc.blind: 0.4793, Acc.coffee table: 0.8458, Acc.toilet: 0.9051, Acc.flower: 0.5838, Acc.book: 0.6828, Acc.hill: 0.2193, Acc.bench: 0.5047, Acc.countertop: 0.8002, Acc.stove: 0.8562, Acc.palm: 0.7901, Acc.kitchen island: 0.7659, Acc.computer: 0.8257, Acc.swivel chair: 0.5550, Acc.boat: 0.5191, Acc.bar: 0.3152, Acc.arcade machine: 0.4445, Acc.hovel: 0.6960, Acc.bus: 0.9556, Acc.towel: 0.8333, Acc.light: 0.6349, Acc.truck: 0.4110, Acc.tower: 0.2018, Acc.chandelier: 0.8134, Acc.awning: 0.3330, Acc.streetlight: 0.3384, Acc.booth: 0.6082, Acc.television receiver: 0.8293, Acc.airplane: 0.6746, Acc.dirt track: 0.1316, Acc.apparel: 0.5614, Acc.pole: 0.4345, Acc.land: 0.0241, Acc.bannister: 0.2438, Acc.escalator: 0.4503, Acc.ottoman: 0.6812, Acc.bottle: 0.6014, Acc.buffet: 0.4528, Acc.poster: 0.4024, Acc.stage: 0.2853, Acc.van: 0.5513, Acc.ship: 0.6279, Acc.fountain: 0.3373, Acc.conveyer belt: 0.8937, Acc.canopy: 0.4593, Acc.washer: 0.8070, Acc.plaything: 0.3771, Acc.swimming pool: 0.6153, Acc.stool: 0.6728, Acc.barrel: 0.7277, Acc.basket: 0.5265, Acc.waterfall: 0.5871, Acc.tent: 0.9831, Acc.bag: 0.2456, Acc.minibike: 0.8577, Acc.cradle: 0.9782, Acc.oven: 0.7091, Acc.ball: 0.6895, Acc.food: 0.6615, Acc.step: 0.1687, Acc.tank: 0.5882, Acc.trade name: 0.2984, Acc.microwave: 0.8782, Acc.pot: 0.5030, Acc.animal: 0.5968, Acc.bicycle: 0.7974, Acc.lake: 0.6370, Acc.dishwasher: 0.7616, Acc.screen: 0.7407, Acc.blanket: 0.1675, Acc.sculpture: 0.8683, Acc.hood: 0.7030, Acc.sconce: 0.6354, Acc.vase: 0.5983, Acc.traffic light: 0.5084, Acc.tray: 0.1588, Acc.ashcan: 0.6214, Acc.fan: 0.7841, Acc.pier: 0.4907, Acc.crt screen: 0.2289, Acc.plate: 0.7296, Acc.monitor: 0.7664, Acc.bulletin board: 0.4854, Acc.shower: 0.0718, Acc.radiator: 0.6252, Acc.glass: 0.1659, Acc.clock: 0.3719, Acc.flag: 0.6363 +2022-02-28 06:17:39,346 - mmseg - INFO - Iter [128050/160000] lr: 3.994e-06, eta: 2:12:58, time: 0.657, data_time: 0.416, memory: 56778, decode.loss_ce: 0.1414, decode.acc_seg: 76.2770, aux.loss_ce: 0.0651, aux.acc_seg: 75.6282, loss: 0.2065 +2022-02-28 06:17:51,773 - mmseg - INFO - Iter [128100/160000] lr: 3.988e-06, eta: 2:12:46, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1426, decode.acc_seg: 75.5783, aux.loss_ce: 0.0661, aux.acc_seg: 74.9482, loss: 0.2086 +2022-02-28 06:18:04,094 - mmseg - INFO - Iter [128150/160000] lr: 3.981e-06, eta: 2:12:33, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1455, decode.acc_seg: 74.7676, aux.loss_ce: 0.0671, aux.acc_seg: 74.1348, loss: 0.2127 +2022-02-28 06:18:16,236 - mmseg - INFO - Iter [128200/160000] lr: 3.975e-06, eta: 2:12:20, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1427, decode.acc_seg: 77.2042, aux.loss_ce: 0.0656, aux.acc_seg: 76.5997, loss: 0.2083 +2022-02-28 06:18:28,784 - mmseg - INFO - Iter [128250/160000] lr: 3.969e-06, eta: 2:12:08, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1433, decode.acc_seg: 75.2842, aux.loss_ce: 0.0664, aux.acc_seg: 74.5913, loss: 0.2097 +2022-02-28 06:18:41,166 - mmseg - INFO - Iter [128300/160000] lr: 3.963e-06, eta: 2:11:55, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1348, decode.acc_seg: 75.3869, aux.loss_ce: 0.0624, aux.acc_seg: 74.7580, loss: 0.1972 +2022-02-28 06:18:53,380 - mmseg - INFO - Iter [128350/160000] lr: 3.956e-06, eta: 2:11:43, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1439, decode.acc_seg: 76.6767, aux.loss_ce: 0.0662, aux.acc_seg: 76.0383, loss: 0.2101 +2022-02-28 06:19:05,604 - mmseg - INFO - Iter [128400/160000] lr: 3.950e-06, eta: 2:11:30, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1374, decode.acc_seg: 75.1998, aux.loss_ce: 0.0638, aux.acc_seg: 74.5776, loss: 0.2011 +2022-02-28 06:19:17,800 - mmseg - INFO - Iter [128450/160000] lr: 3.944e-06, eta: 2:11:18, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1449, decode.acc_seg: 75.7983, aux.loss_ce: 0.0669, aux.acc_seg: 75.1984, loss: 0.2118 +2022-02-28 06:19:29,964 - mmseg - INFO - Iter [128500/160000] lr: 3.938e-06, eta: 2:11:05, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1356, decode.acc_seg: 75.3583, aux.loss_ce: 0.0628, aux.acc_seg: 74.7290, loss: 0.1985 +2022-02-28 06:19:42,275 - mmseg - INFO - Iter [128550/160000] lr: 3.931e-06, eta: 2:10:53, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1435, decode.acc_seg: 76.0601, aux.loss_ce: 0.0655, aux.acc_seg: 75.5244, loss: 0.2090 +2022-02-28 06:19:54,520 - mmseg - INFO - Iter [128600/160000] lr: 3.925e-06, eta: 2:10:40, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1368, decode.acc_seg: 76.0489, aux.loss_ce: 0.0635, aux.acc_seg: 75.4150, loss: 0.2003 +2022-02-28 06:20:06,829 - mmseg - INFO - Iter [128650/160000] lr: 3.919e-06, eta: 2:10:28, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1439, decode.acc_seg: 74.8990, aux.loss_ce: 0.0663, aux.acc_seg: 74.2970, loss: 0.2102 +2022-02-28 06:20:19,002 - mmseg - INFO - Iter [128700/160000] lr: 3.913e-06, eta: 2:10:15, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1447, decode.acc_seg: 75.9531, aux.loss_ce: 0.0667, aux.acc_seg: 75.3268, loss: 0.2115 +2022-02-28 06:20:31,208 - mmseg - INFO - Iter [128750/160000] lr: 3.906e-06, eta: 2:10:03, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1469, decode.acc_seg: 76.7112, aux.loss_ce: 0.0671, aux.acc_seg: 76.1620, loss: 0.2141 +2022-02-28 06:20:43,470 - mmseg - INFO - Iter [128800/160000] lr: 3.900e-06, eta: 2:09:50, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1438, decode.acc_seg: 75.4932, aux.loss_ce: 0.0659, aux.acc_seg: 74.9556, loss: 0.2097 +2022-02-28 06:20:58,098 - mmseg - INFO - Iter [128850/160000] lr: 3.894e-06, eta: 2:09:38, time: 0.292, data_time: 0.048, memory: 56778, decode.loss_ce: 0.1416, decode.acc_seg: 75.7308, aux.loss_ce: 0.0655, aux.acc_seg: 75.1676, loss: 0.2071 +2022-02-28 06:21:10,297 - mmseg - INFO - Iter [128900/160000] lr: 3.888e-06, eta: 2:09:25, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1433, decode.acc_seg: 75.7052, aux.loss_ce: 0.0671, aux.acc_seg: 74.9772, loss: 0.2104 +2022-02-28 06:21:22,596 - mmseg - INFO - Iter [128950/160000] lr: 3.881e-06, eta: 2:09:13, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1396, decode.acc_seg: 77.0658, aux.loss_ce: 0.0652, aux.acc_seg: 76.3838, loss: 0.2047 +2022-02-28 06:21:34,856 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 06:21:34,856 - mmseg - INFO - Iter [129000/160000] lr: 3.875e-06, eta: 2:09:00, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1410, decode.acc_seg: 75.9857, aux.loss_ce: 0.0660, aux.acc_seg: 75.2886, loss: 0.2070 +2022-02-28 06:21:47,075 - mmseg - INFO - Iter [129050/160000] lr: 3.869e-06, eta: 2:08:48, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1275, decode.acc_seg: 75.8581, aux.loss_ce: 0.0598, aux.acc_seg: 75.1949, loss: 0.1873 +2022-02-28 06:21:59,372 - mmseg - INFO - Iter [129100/160000] lr: 3.863e-06, eta: 2:08:35, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1393, decode.acc_seg: 74.6872, aux.loss_ce: 0.0647, aux.acc_seg: 74.0900, loss: 0.2040 +2022-02-28 06:22:11,593 - mmseg - INFO - Iter [129150/160000] lr: 3.856e-06, eta: 2:08:23, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1343, decode.acc_seg: 77.3226, aux.loss_ce: 0.0624, aux.acc_seg: 76.6449, loss: 0.1968 +2022-02-28 06:22:24,158 - mmseg - INFO - Iter [129200/160000] lr: 3.850e-06, eta: 2:08:10, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1360, decode.acc_seg: 74.9579, aux.loss_ce: 0.0636, aux.acc_seg: 74.2956, loss: 0.1996 +2022-02-28 06:22:36,454 - mmseg - INFO - Iter [129250/160000] lr: 3.844e-06, eta: 2:07:58, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1426, decode.acc_seg: 75.5872, aux.loss_ce: 0.0658, aux.acc_seg: 74.9202, loss: 0.2083 +2022-02-28 06:22:48,656 - mmseg - INFO - Iter [129300/160000] lr: 3.838e-06, eta: 2:07:45, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1382, decode.acc_seg: 75.2250, aux.loss_ce: 0.0643, aux.acc_seg: 74.4688, loss: 0.2025 +2022-02-28 06:23:00,975 - mmseg - INFO - Iter [129350/160000] lr: 3.831e-06, eta: 2:07:33, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1433, decode.acc_seg: 75.6036, aux.loss_ce: 0.0662, aux.acc_seg: 74.9847, loss: 0.2095 +2022-02-28 06:23:13,206 - mmseg - INFO - Iter [129400/160000] lr: 3.825e-06, eta: 2:07:20, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1380, decode.acc_seg: 76.2039, aux.loss_ce: 0.0638, aux.acc_seg: 75.5639, loss: 0.2017 +2022-02-28 06:23:25,639 - mmseg - INFO - Iter [129450/160000] lr: 3.819e-06, eta: 2:07:08, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1425, decode.acc_seg: 76.3236, aux.loss_ce: 0.0659, aux.acc_seg: 75.6926, loss: 0.2085 +2022-02-28 06:23:37,855 - mmseg - INFO - Iter [129500/160000] lr: 3.813e-06, eta: 2:06:55, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1355, decode.acc_seg: 75.5369, aux.loss_ce: 0.0634, aux.acc_seg: 74.8727, loss: 0.1989 +2022-02-28 06:23:50,103 - mmseg - INFO - Iter [129550/160000] lr: 3.806e-06, eta: 2:06:43, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1336, decode.acc_seg: 75.0717, aux.loss_ce: 0.0624, aux.acc_seg: 74.4440, loss: 0.1960 +2022-02-28 06:24:02,478 - mmseg - INFO - Iter [129600/160000] lr: 3.800e-06, eta: 2:06:30, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1469, decode.acc_seg: 76.0922, aux.loss_ce: 0.0683, aux.acc_seg: 75.4195, loss: 0.2153 +2022-02-28 06:24:14,699 - mmseg - INFO - Iter [129650/160000] lr: 3.794e-06, eta: 2:06:18, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1425, decode.acc_seg: 76.6500, aux.loss_ce: 0.0656, aux.acc_seg: 76.0026, loss: 0.2081 +2022-02-28 06:24:26,875 - mmseg - INFO - Iter [129700/160000] lr: 3.788e-06, eta: 2:06:05, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1418, decode.acc_seg: 76.9681, aux.loss_ce: 0.0662, aux.acc_seg: 76.2690, loss: 0.2080 +2022-02-28 06:24:39,040 - mmseg - INFO - Iter [129750/160000] lr: 3.781e-06, eta: 2:05:52, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1301, decode.acc_seg: 73.9851, aux.loss_ce: 0.0611, aux.acc_seg: 73.3344, loss: 0.1913 +2022-02-28 06:24:51,245 - mmseg - INFO - Iter [129800/160000] lr: 3.775e-06, eta: 2:05:40, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1402, decode.acc_seg: 76.8660, aux.loss_ce: 0.0648, aux.acc_seg: 76.3152, loss: 0.2050 +2022-02-28 06:25:03,519 - mmseg - INFO - Iter [129850/160000] lr: 3.769e-06, eta: 2:05:27, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1416, decode.acc_seg: 75.1827, aux.loss_ce: 0.0645, aux.acc_seg: 74.6385, loss: 0.2061 +2022-02-28 06:25:15,745 - mmseg - INFO - Iter [129900/160000] lr: 3.763e-06, eta: 2:05:15, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1440, decode.acc_seg: 75.6779, aux.loss_ce: 0.0661, aux.acc_seg: 75.0333, loss: 0.2101 +2022-02-28 06:25:27,994 - mmseg - INFO - Iter [129950/160000] lr: 3.756e-06, eta: 2:05:02, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1379, decode.acc_seg: 76.2153, aux.loss_ce: 0.0640, aux.acc_seg: 75.6166, loss: 0.2019 +2022-02-28 06:25:40,295 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 06:25:40,295 - mmseg - INFO - Iter [130000/160000] lr: 3.750e-06, eta: 2:04:50, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1383, decode.acc_seg: 77.3371, aux.loss_ce: 0.0641, aux.acc_seg: 76.6960, loss: 0.2024 +2022-02-28 06:25:52,541 - mmseg - INFO - Iter [130050/160000] lr: 3.744e-06, eta: 2:04:37, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1269, decode.acc_seg: 75.8420, aux.loss_ce: 0.0591, aux.acc_seg: 75.2516, loss: 0.1860 +2022-02-28 06:26:07,160 - mmseg - INFO - Iter [130100/160000] lr: 3.738e-06, eta: 2:04:25, time: 0.292, data_time: 0.049, memory: 56778, decode.loss_ce: 0.1387, decode.acc_seg: 75.1589, aux.loss_ce: 0.0646, aux.acc_seg: 74.4846, loss: 0.2033 +2022-02-28 06:26:19,347 - mmseg - INFO - Iter [130150/160000] lr: 3.731e-06, eta: 2:04:13, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1468, decode.acc_seg: 76.2530, aux.loss_ce: 0.0687, aux.acc_seg: 75.4361, loss: 0.2155 +2022-02-28 06:26:31,475 - mmseg - INFO - Iter [130200/160000] lr: 3.725e-06, eta: 2:04:00, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1338, decode.acc_seg: 76.7208, aux.loss_ce: 0.0622, aux.acc_seg: 76.1716, loss: 0.1961 +2022-02-28 06:26:43,781 - mmseg - INFO - Iter [130250/160000] lr: 3.719e-06, eta: 2:03:48, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1417, decode.acc_seg: 75.4731, aux.loss_ce: 0.0652, aux.acc_seg: 74.8749, loss: 0.2070 +2022-02-28 06:26:56,125 - mmseg - INFO - Iter [130300/160000] lr: 3.713e-06, eta: 2:03:35, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1353, decode.acc_seg: 76.4166, aux.loss_ce: 0.0628, aux.acc_seg: 75.8201, loss: 0.1981 +2022-02-28 06:27:08,464 - mmseg - INFO - Iter [130350/160000] lr: 3.706e-06, eta: 2:03:22, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1416, decode.acc_seg: 75.7569, aux.loss_ce: 0.0653, aux.acc_seg: 75.1594, loss: 0.2069 +2022-02-28 06:27:20,824 - mmseg - INFO - Iter [130400/160000] lr: 3.700e-06, eta: 2:03:10, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1377, decode.acc_seg: 76.1289, aux.loss_ce: 0.0632, aux.acc_seg: 75.5906, loss: 0.2010 +2022-02-28 06:27:33,001 - mmseg - INFO - Iter [130450/160000] lr: 3.694e-06, eta: 2:02:57, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1455, decode.acc_seg: 76.2407, aux.loss_ce: 0.0678, aux.acc_seg: 75.6255, loss: 0.2134 +2022-02-28 06:27:45,255 - mmseg - INFO - Iter [130500/160000] lr: 3.688e-06, eta: 2:02:45, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1289, decode.acc_seg: 75.9919, aux.loss_ce: 0.0592, aux.acc_seg: 75.4828, loss: 0.1881 +2022-02-28 06:27:57,463 - mmseg - INFO - Iter [130550/160000] lr: 3.681e-06, eta: 2:02:32, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1382, decode.acc_seg: 76.0695, aux.loss_ce: 0.0645, aux.acc_seg: 75.4507, loss: 0.2027 +2022-02-28 06:28:09,677 - mmseg - INFO - Iter [130600/160000] lr: 3.675e-06, eta: 2:02:20, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1386, decode.acc_seg: 75.3666, aux.loss_ce: 0.0645, aux.acc_seg: 74.6609, loss: 0.2031 +2022-02-28 06:28:21,935 - mmseg - INFO - Iter [130650/160000] lr: 3.669e-06, eta: 2:02:07, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1338, decode.acc_seg: 76.3299, aux.loss_ce: 0.0620, aux.acc_seg: 75.7240, loss: 0.1957 +2022-02-28 06:28:34,168 - mmseg - INFO - Iter [130700/160000] lr: 3.663e-06, eta: 2:01:55, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1343, decode.acc_seg: 75.6243, aux.loss_ce: 0.0627, aux.acc_seg: 74.9591, loss: 0.1970 +2022-02-28 06:28:46,526 - mmseg - INFO - Iter [130750/160000] lr: 3.656e-06, eta: 2:01:42, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1456, decode.acc_seg: 75.0210, aux.loss_ce: 0.0679, aux.acc_seg: 74.3326, loss: 0.2134 +2022-02-28 06:28:59,004 - mmseg - INFO - Iter [130800/160000] lr: 3.650e-06, eta: 2:01:30, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1406, decode.acc_seg: 75.0851, aux.loss_ce: 0.0646, aux.acc_seg: 74.4844, loss: 0.2052 +2022-02-28 06:29:11,154 - mmseg - INFO - Iter [130850/160000] lr: 3.644e-06, eta: 2:01:17, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1544, decode.acc_seg: 75.2748, aux.loss_ce: 0.0709, aux.acc_seg: 74.6228, loss: 0.2253 +2022-02-28 06:29:23,504 - mmseg - INFO - Iter [130900/160000] lr: 3.638e-06, eta: 2:01:05, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1380, decode.acc_seg: 75.7163, aux.loss_ce: 0.0636, aux.acc_seg: 75.1660, loss: 0.2016 +2022-02-28 06:29:35,731 - mmseg - INFO - Iter [130950/160000] lr: 3.631e-06, eta: 2:00:52, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1331, decode.acc_seg: 75.3767, aux.loss_ce: 0.0620, aux.acc_seg: 74.7891, loss: 0.1951 +2022-02-28 06:29:48,162 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 06:29:48,162 - mmseg - INFO - Iter [131000/160000] lr: 3.625e-06, eta: 2:00:40, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1503, decode.acc_seg: 75.0147, aux.loss_ce: 0.0696, aux.acc_seg: 74.3032, loss: 0.2199 +2022-02-28 06:30:00,631 - mmseg - INFO - Iter [131050/160000] lr: 3.619e-06, eta: 2:00:27, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1367, decode.acc_seg: 75.7603, aux.loss_ce: 0.0633, aux.acc_seg: 75.1884, loss: 0.2000 +2022-02-28 06:30:12,819 - mmseg - INFO - Iter [131100/160000] lr: 3.613e-06, eta: 2:00:15, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1380, decode.acc_seg: 76.8176, aux.loss_ce: 0.0641, aux.acc_seg: 76.1593, loss: 0.2021 +2022-02-28 06:30:25,351 - mmseg - INFO - Iter [131150/160000] lr: 3.606e-06, eta: 2:00:02, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1357, decode.acc_seg: 76.8939, aux.loss_ce: 0.0641, aux.acc_seg: 76.1457, loss: 0.1998 +2022-02-28 06:30:37,563 - mmseg - INFO - Iter [131200/160000] lr: 3.600e-06, eta: 1:59:50, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1328, decode.acc_seg: 76.0794, aux.loss_ce: 0.0617, aux.acc_seg: 75.4217, loss: 0.1945 +2022-02-28 06:30:49,870 - mmseg - INFO - Iter [131250/160000] lr: 3.594e-06, eta: 1:59:37, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1375, decode.acc_seg: 75.4944, aux.loss_ce: 0.0652, aux.acc_seg: 74.7757, loss: 0.2028 +2022-02-28 06:31:02,075 - mmseg - INFO - Iter [131300/160000] lr: 3.588e-06, eta: 1:59:25, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1334, decode.acc_seg: 74.8599, aux.loss_ce: 0.0622, aux.acc_seg: 74.2935, loss: 0.1956 +2022-02-28 06:31:14,294 - mmseg - INFO - Iter [131350/160000] lr: 3.581e-06, eta: 1:59:12, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1402, decode.acc_seg: 76.3814, aux.loss_ce: 0.0652, aux.acc_seg: 75.7074, loss: 0.2054 +2022-02-28 06:31:28,784 - mmseg - INFO - Iter [131400/160000] lr: 3.575e-06, eta: 1:59:00, time: 0.290, data_time: 0.049, memory: 56778, decode.loss_ce: 0.1386, decode.acc_seg: 76.2384, aux.loss_ce: 0.0645, aux.acc_seg: 75.6346, loss: 0.2031 +2022-02-28 06:31:41,227 - mmseg - INFO - Iter [131450/160000] lr: 3.569e-06, eta: 1:58:47, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1378, decode.acc_seg: 74.9493, aux.loss_ce: 0.0638, aux.acc_seg: 74.3527, loss: 0.2016 +2022-02-28 06:31:53,579 - mmseg - INFO - Iter [131500/160000] lr: 3.563e-06, eta: 1:58:35, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1309, decode.acc_seg: 77.7604, aux.loss_ce: 0.0602, aux.acc_seg: 77.1972, loss: 0.1910 +2022-02-28 06:32:05,910 - mmseg - INFO - Iter [131550/160000] lr: 3.556e-06, eta: 1:58:22, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1350, decode.acc_seg: 77.2041, aux.loss_ce: 0.0630, aux.acc_seg: 76.5486, loss: 0.1980 +2022-02-28 06:32:18,227 - mmseg - INFO - Iter [131600/160000] lr: 3.550e-06, eta: 1:58:10, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1398, decode.acc_seg: 75.4306, aux.loss_ce: 0.0657, aux.acc_seg: 74.7049, loss: 0.2055 +2022-02-28 06:32:30,464 - mmseg - INFO - Iter [131650/160000] lr: 3.544e-06, eta: 1:57:57, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1361, decode.acc_seg: 76.2473, aux.loss_ce: 0.0635, aux.acc_seg: 75.6146, loss: 0.1996 +2022-02-28 06:32:43,019 - mmseg - INFO - Iter [131700/160000] lr: 3.538e-06, eta: 1:57:45, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1400, decode.acc_seg: 76.8506, aux.loss_ce: 0.0645, aux.acc_seg: 76.2544, loss: 0.2045 +2022-02-28 06:32:55,287 - mmseg - INFO - Iter [131750/160000] lr: 3.531e-06, eta: 1:57:32, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1366, decode.acc_seg: 75.5059, aux.loss_ce: 0.0636, aux.acc_seg: 74.8596, loss: 0.2002 +2022-02-28 06:33:07,584 - mmseg - INFO - Iter [131800/160000] lr: 3.525e-06, eta: 1:57:20, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1415, decode.acc_seg: 75.2729, aux.loss_ce: 0.0657, aux.acc_seg: 74.6125, loss: 0.2072 +2022-02-28 06:33:19,833 - mmseg - INFO - Iter [131850/160000] lr: 3.519e-06, eta: 1:57:07, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1450, decode.acc_seg: 74.5859, aux.loss_ce: 0.0677, aux.acc_seg: 73.8922, loss: 0.2127 +2022-02-28 06:33:32,071 - mmseg - INFO - Iter [131900/160000] lr: 3.513e-06, eta: 1:56:55, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1362, decode.acc_seg: 76.8664, aux.loss_ce: 0.0628, aux.acc_seg: 76.2399, loss: 0.1990 +2022-02-28 06:33:44,448 - mmseg - INFO - Iter [131950/160000] lr: 3.506e-06, eta: 1:56:42, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1351, decode.acc_seg: 75.8155, aux.loss_ce: 0.0623, aux.acc_seg: 75.2322, loss: 0.1974 +2022-02-28 06:33:56,748 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 06:33:56,748 - mmseg - INFO - Iter [132000/160000] lr: 3.500e-06, eta: 1:56:30, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1436, decode.acc_seg: 76.1176, aux.loss_ce: 0.0669, aux.acc_seg: 75.4582, loss: 0.2105 +2022-02-28 06:34:08,968 - mmseg - INFO - Iter [132050/160000] lr: 3.494e-06, eta: 1:56:17, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1354, decode.acc_seg: 76.8007, aux.loss_ce: 0.0631, aux.acc_seg: 76.1604, loss: 0.1985 +2022-02-28 06:34:21,271 - mmseg - INFO - Iter [132100/160000] lr: 3.488e-06, eta: 1:56:05, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1474, decode.acc_seg: 76.0105, aux.loss_ce: 0.0680, aux.acc_seg: 75.3981, loss: 0.2153 +2022-02-28 06:34:33,601 - mmseg - INFO - Iter [132150/160000] lr: 3.481e-06, eta: 1:55:52, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1388, decode.acc_seg: 75.7231, aux.loss_ce: 0.0642, aux.acc_seg: 75.1161, loss: 0.2030 +2022-02-28 06:34:45,832 - mmseg - INFO - Iter [132200/160000] lr: 3.475e-06, eta: 1:55:40, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1402, decode.acc_seg: 75.5890, aux.loss_ce: 0.0649, aux.acc_seg: 74.8920, loss: 0.2052 +2022-02-28 06:34:58,120 - mmseg - INFO - Iter [132250/160000] lr: 3.469e-06, eta: 1:55:27, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1428, decode.acc_seg: 75.5295, aux.loss_ce: 0.0663, aux.acc_seg: 74.8652, loss: 0.2091 +2022-02-28 06:35:10,363 - mmseg - INFO - Iter [132300/160000] lr: 3.463e-06, eta: 1:55:15, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1417, decode.acc_seg: 75.3928, aux.loss_ce: 0.0665, aux.acc_seg: 74.6711, loss: 0.2082 +2022-02-28 06:35:22,787 - mmseg - INFO - Iter [132350/160000] lr: 3.456e-06, eta: 1:55:02, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1451, decode.acc_seg: 77.0103, aux.loss_ce: 0.0664, aux.acc_seg: 76.4288, loss: 0.2116 +2022-02-28 06:35:35,549 - mmseg - INFO - Iter [132400/160000] lr: 3.450e-06, eta: 1:54:50, time: 0.255, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1335, decode.acc_seg: 76.0014, aux.loss_ce: 0.0621, aux.acc_seg: 75.3842, loss: 0.1956 +2022-02-28 06:35:47,923 - mmseg - INFO - Iter [132450/160000] lr: 3.444e-06, eta: 1:54:37, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1288, decode.acc_seg: 74.5398, aux.loss_ce: 0.0595, aux.acc_seg: 73.9406, loss: 0.1883 +2022-02-28 06:36:00,115 - mmseg - INFO - Iter [132500/160000] lr: 3.438e-06, eta: 1:54:25, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1309, decode.acc_seg: 75.7162, aux.loss_ce: 0.0605, aux.acc_seg: 75.1449, loss: 0.1914 +2022-02-28 06:36:12,763 - mmseg - INFO - Iter [132550/160000] lr: 3.431e-06, eta: 1:54:12, time: 0.253, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1417, decode.acc_seg: 75.0383, aux.loss_ce: 0.0654, aux.acc_seg: 74.4020, loss: 0.2071 +2022-02-28 06:36:25,104 - mmseg - INFO - Iter [132600/160000] lr: 3.425e-06, eta: 1:54:00, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1432, decode.acc_seg: 76.3867, aux.loss_ce: 0.0670, aux.acc_seg: 75.7508, loss: 0.2102 +2022-02-28 06:36:39,604 - mmseg - INFO - Iter [132650/160000] lr: 3.419e-06, eta: 1:53:48, time: 0.290, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1342, decode.acc_seg: 75.8928, aux.loss_ce: 0.0622, aux.acc_seg: 75.2954, loss: 0.1964 +2022-02-28 06:36:51,712 - mmseg - INFO - Iter [132700/160000] lr: 3.413e-06, eta: 1:53:35, time: 0.242, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1492, decode.acc_seg: 77.0256, aux.loss_ce: 0.0691, aux.acc_seg: 76.3111, loss: 0.2183 +2022-02-28 06:37:03,901 - mmseg - INFO - Iter [132750/160000] lr: 3.406e-06, eta: 1:53:22, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1395, decode.acc_seg: 76.8252, aux.loss_ce: 0.0648, aux.acc_seg: 76.2205, loss: 0.2043 +2022-02-28 06:37:16,373 - mmseg - INFO - Iter [132800/160000] lr: 3.400e-06, eta: 1:53:10, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1386, decode.acc_seg: 74.8155, aux.loss_ce: 0.0641, aux.acc_seg: 74.1924, loss: 0.2027 +2022-02-28 06:37:28,777 - mmseg - INFO - Iter [132850/160000] lr: 3.394e-06, eta: 1:52:57, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1390, decode.acc_seg: 75.2107, aux.loss_ce: 0.0644, aux.acc_seg: 74.5411, loss: 0.2034 +2022-02-28 06:37:41,017 - mmseg - INFO - Iter [132900/160000] lr: 3.388e-06, eta: 1:52:45, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1414, decode.acc_seg: 76.4078, aux.loss_ce: 0.0661, aux.acc_seg: 75.7242, loss: 0.2075 +2022-02-28 06:37:53,336 - mmseg - INFO - Iter [132950/160000] lr: 3.381e-06, eta: 1:52:32, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1458, decode.acc_seg: 76.2148, aux.loss_ce: 0.0674, aux.acc_seg: 75.4765, loss: 0.2131 +2022-02-28 06:38:05,553 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 06:38:05,554 - mmseg - INFO - Iter [133000/160000] lr: 3.375e-06, eta: 1:52:20, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1307, decode.acc_seg: 75.9265, aux.loss_ce: 0.0607, aux.acc_seg: 75.3542, loss: 0.1914 +2022-02-28 06:38:17,939 - mmseg - INFO - Iter [133050/160000] lr: 3.369e-06, eta: 1:52:07, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1342, decode.acc_seg: 76.2051, aux.loss_ce: 0.0632, aux.acc_seg: 75.4942, loss: 0.1974 +2022-02-28 06:38:30,168 - mmseg - INFO - Iter [133100/160000] lr: 3.363e-06, eta: 1:51:55, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1378, decode.acc_seg: 78.3660, aux.loss_ce: 0.0643, aux.acc_seg: 77.7227, loss: 0.2021 +2022-02-28 06:38:42,452 - mmseg - INFO - Iter [133150/160000] lr: 3.356e-06, eta: 1:51:42, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1312, decode.acc_seg: 74.0180, aux.loss_ce: 0.0613, aux.acc_seg: 73.4016, loss: 0.1925 +2022-02-28 06:38:54,831 - mmseg - INFO - Iter [133200/160000] lr: 3.350e-06, eta: 1:51:30, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1359, decode.acc_seg: 75.0581, aux.loss_ce: 0.0636, aux.acc_seg: 74.4049, loss: 0.1995 +2022-02-28 06:39:07,129 - mmseg - INFO - Iter [133250/160000] lr: 3.344e-06, eta: 1:51:17, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1356, decode.acc_seg: 76.3214, aux.loss_ce: 0.0630, aux.acc_seg: 75.7672, loss: 0.1986 +2022-02-28 06:39:19,413 - mmseg - INFO - Iter [133300/160000] lr: 3.338e-06, eta: 1:51:05, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1358, decode.acc_seg: 76.3385, aux.loss_ce: 0.0635, aux.acc_seg: 75.6647, loss: 0.1993 +2022-02-28 06:39:31,732 - mmseg - INFO - Iter [133350/160000] lr: 3.331e-06, eta: 1:50:52, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1430, decode.acc_seg: 76.7130, aux.loss_ce: 0.0660, aux.acc_seg: 76.0408, loss: 0.2090 +2022-02-28 06:39:44,063 - mmseg - INFO - Iter [133400/160000] lr: 3.325e-06, eta: 1:50:40, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1389, decode.acc_seg: 75.4601, aux.loss_ce: 0.0641, aux.acc_seg: 74.8889, loss: 0.2030 +2022-02-28 06:39:56,242 - mmseg - INFO - Iter [133450/160000] lr: 3.319e-06, eta: 1:50:27, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1369, decode.acc_seg: 75.3692, aux.loss_ce: 0.0630, aux.acc_seg: 74.7383, loss: 0.1998 +2022-02-28 06:40:08,508 - mmseg - INFO - Iter [133500/160000] lr: 3.313e-06, eta: 1:50:15, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1383, decode.acc_seg: 76.7437, aux.loss_ce: 0.0645, aux.acc_seg: 76.0788, loss: 0.2027 +2022-02-28 06:40:20,719 - mmseg - INFO - Iter [133550/160000] lr: 3.306e-06, eta: 1:50:02, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1370, decode.acc_seg: 76.1386, aux.loss_ce: 0.0641, aux.acc_seg: 75.4924, loss: 0.2011 +2022-02-28 06:40:32,931 - mmseg - INFO - Iter [133600/160000] lr: 3.300e-06, eta: 1:49:50, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1397, decode.acc_seg: 76.3632, aux.loss_ce: 0.0644, aux.acc_seg: 75.7212, loss: 0.2042 +2022-02-28 06:40:45,106 - mmseg - INFO - Iter [133650/160000] lr: 3.294e-06, eta: 1:49:37, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1434, decode.acc_seg: 76.2812, aux.loss_ce: 0.0669, aux.acc_seg: 75.6511, loss: 0.2104 +2022-02-28 06:40:57,413 - mmseg - INFO - Iter [133700/160000] lr: 3.288e-06, eta: 1:49:25, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1528, decode.acc_seg: 75.8993, aux.loss_ce: 0.0702, aux.acc_seg: 75.2845, loss: 0.2230 +2022-02-28 06:41:09,779 - mmseg - INFO - Iter [133750/160000] lr: 3.281e-06, eta: 1:49:12, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1382, decode.acc_seg: 75.6203, aux.loss_ce: 0.0625, aux.acc_seg: 75.0888, loss: 0.2006 +2022-02-28 06:41:22,073 - mmseg - INFO - Iter [133800/160000] lr: 3.275e-06, eta: 1:49:00, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1403, decode.acc_seg: 75.3473, aux.loss_ce: 0.0655, aux.acc_seg: 74.6964, loss: 0.2058 +2022-02-28 06:41:34,226 - mmseg - INFO - Iter [133850/160000] lr: 3.269e-06, eta: 1:48:47, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1345, decode.acc_seg: 76.5411, aux.loss_ce: 0.0627, aux.acc_seg: 75.9085, loss: 0.1971 +2022-02-28 06:41:48,778 - mmseg - INFO - Iter [133900/160000] lr: 3.263e-06, eta: 1:48:35, time: 0.291, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1292, decode.acc_seg: 74.8357, aux.loss_ce: 0.0595, aux.acc_seg: 74.2904, loss: 0.1887 +2022-02-28 06:42:01,096 - mmseg - INFO - Iter [133950/160000] lr: 3.256e-06, eta: 1:48:22, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1410, decode.acc_seg: 76.0081, aux.loss_ce: 0.0659, aux.acc_seg: 75.3762, loss: 0.2069 +2022-02-28 06:42:13,595 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 06:42:13,595 - mmseg - INFO - Iter [134000/160000] lr: 3.250e-06, eta: 1:48:10, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1341, decode.acc_seg: 75.8970, aux.loss_ce: 0.0627, aux.acc_seg: 75.2360, loss: 0.1967 +2022-02-28 06:42:25,758 - mmseg - INFO - Iter [134050/160000] lr: 3.244e-06, eta: 1:47:57, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1409, decode.acc_seg: 77.1283, aux.loss_ce: 0.0657, aux.acc_seg: 76.4775, loss: 0.2066 +2022-02-28 06:42:38,067 - mmseg - INFO - Iter [134100/160000] lr: 3.238e-06, eta: 1:47:45, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1392, decode.acc_seg: 77.1366, aux.loss_ce: 0.0652, aux.acc_seg: 76.4474, loss: 0.2043 +2022-02-28 06:42:50,576 - mmseg - INFO - Iter [134150/160000] lr: 3.231e-06, eta: 1:47:32, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1376, decode.acc_seg: 77.0281, aux.loss_ce: 0.0638, aux.acc_seg: 76.3361, loss: 0.2014 +2022-02-28 06:43:03,071 - mmseg - INFO - Iter [134200/160000] lr: 3.225e-06, eta: 1:47:20, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1465, decode.acc_seg: 76.6755, aux.loss_ce: 0.0685, aux.acc_seg: 76.0051, loss: 0.2150 +2022-02-28 06:43:15,319 - mmseg - INFO - Iter [134250/160000] lr: 3.219e-06, eta: 1:47:07, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1325, decode.acc_seg: 74.9512, aux.loss_ce: 0.0611, aux.acc_seg: 74.3481, loss: 0.1936 +2022-02-28 06:43:27,521 - mmseg - INFO - Iter [134300/160000] lr: 3.213e-06, eta: 1:46:55, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1322, decode.acc_seg: 74.1491, aux.loss_ce: 0.0618, aux.acc_seg: 73.5092, loss: 0.1939 +2022-02-28 06:43:39,952 - mmseg - INFO - Iter [134350/160000] lr: 3.206e-06, eta: 1:46:42, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1418, decode.acc_seg: 76.6211, aux.loss_ce: 0.0656, aux.acc_seg: 75.9406, loss: 0.2073 +2022-02-28 06:43:52,359 - mmseg - INFO - Iter [134400/160000] lr: 3.200e-06, eta: 1:46:30, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1399, decode.acc_seg: 75.6722, aux.loss_ce: 0.0655, aux.acc_seg: 74.9808, loss: 0.2054 +2022-02-28 06:44:04,570 - mmseg - INFO - Iter [134450/160000] lr: 3.194e-06, eta: 1:46:17, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1336, decode.acc_seg: 76.5654, aux.loss_ce: 0.0617, aux.acc_seg: 75.9737, loss: 0.1953 +2022-02-28 06:44:16,831 - mmseg - INFO - Iter [134500/160000] lr: 3.188e-06, eta: 1:46:05, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1437, decode.acc_seg: 76.3405, aux.loss_ce: 0.0666, aux.acc_seg: 75.6285, loss: 0.2103 +2022-02-28 06:44:29,433 - mmseg - INFO - Iter [134550/160000] lr: 3.181e-06, eta: 1:45:52, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1418, decode.acc_seg: 76.7476, aux.loss_ce: 0.0662, aux.acc_seg: 76.1061, loss: 0.2080 +2022-02-28 06:44:41,806 - mmseg - INFO - Iter [134600/160000] lr: 3.175e-06, eta: 1:45:40, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1364, decode.acc_seg: 76.8681, aux.loss_ce: 0.0640, aux.acc_seg: 76.1900, loss: 0.2004 +2022-02-28 06:44:54,083 - mmseg - INFO - Iter [134650/160000] lr: 3.169e-06, eta: 1:45:27, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1396, decode.acc_seg: 76.6198, aux.loss_ce: 0.0651, aux.acc_seg: 75.9853, loss: 0.2047 +2022-02-28 06:45:06,287 - mmseg - INFO - Iter [134700/160000] lr: 3.163e-06, eta: 1:45:15, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1421, decode.acc_seg: 75.7015, aux.loss_ce: 0.0661, aux.acc_seg: 75.0515, loss: 0.2082 +2022-02-28 06:45:18,457 - mmseg - INFO - Iter [134750/160000] lr: 3.156e-06, eta: 1:45:02, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1282, decode.acc_seg: 76.6346, aux.loss_ce: 0.0596, aux.acc_seg: 76.0506, loss: 0.1878 +2022-02-28 06:45:30,659 - mmseg - INFO - Iter [134800/160000] lr: 3.150e-06, eta: 1:44:50, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1406, decode.acc_seg: 76.3622, aux.loss_ce: 0.0654, aux.acc_seg: 75.7228, loss: 0.2059 +2022-02-28 06:45:42,944 - mmseg - INFO - Iter [134850/160000] lr: 3.144e-06, eta: 1:44:37, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1396, decode.acc_seg: 75.4422, aux.loss_ce: 0.0651, aux.acc_seg: 74.7286, loss: 0.2047 +2022-02-28 06:45:55,272 - mmseg - INFO - Iter [134900/160000] lr: 3.138e-06, eta: 1:44:25, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1387, decode.acc_seg: 75.7448, aux.loss_ce: 0.0643, aux.acc_seg: 75.1081, loss: 0.2030 +2022-02-28 06:46:07,468 - mmseg - INFO - Iter [134950/160000] lr: 3.131e-06, eta: 1:44:12, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1345, decode.acc_seg: 77.4522, aux.loss_ce: 0.0622, aux.acc_seg: 76.8889, loss: 0.1967 +2022-02-28 06:46:19,789 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 06:46:19,790 - mmseg - INFO - Iter [135000/160000] lr: 3.125e-06, eta: 1:44:00, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1322, decode.acc_seg: 75.6741, aux.loss_ce: 0.0616, aux.acc_seg: 75.0794, loss: 0.1938 +2022-02-28 06:46:32,180 - mmseg - INFO - Iter [135050/160000] lr: 3.119e-06, eta: 1:43:47, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1409, decode.acc_seg: 76.0448, aux.loss_ce: 0.0656, aux.acc_seg: 75.4450, loss: 0.2065 +2022-02-28 06:46:44,373 - mmseg - INFO - Iter [135100/160000] lr: 3.113e-06, eta: 1:43:35, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1261, decode.acc_seg: 75.9747, aux.loss_ce: 0.0596, aux.acc_seg: 75.2718, loss: 0.1857 +2022-02-28 06:46:59,089 - mmseg - INFO - Iter [135150/160000] lr: 3.106e-06, eta: 1:43:23, time: 0.294, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1287, decode.acc_seg: 74.7206, aux.loss_ce: 0.0607, aux.acc_seg: 74.0296, loss: 0.1894 +2022-02-28 06:47:11,621 - mmseg - INFO - Iter [135200/160000] lr: 3.100e-06, eta: 1:43:10, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1420, decode.acc_seg: 76.2838, aux.loss_ce: 0.0656, aux.acc_seg: 75.6770, loss: 0.2076 +2022-02-28 06:47:23,973 - mmseg - INFO - Iter [135250/160000] lr: 3.094e-06, eta: 1:42:58, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1447, decode.acc_seg: 75.7306, aux.loss_ce: 0.0676, aux.acc_seg: 75.0150, loss: 0.2123 +2022-02-28 06:47:36,252 - mmseg - INFO - Iter [135300/160000] lr: 3.088e-06, eta: 1:42:45, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1424, decode.acc_seg: 75.1441, aux.loss_ce: 0.0658, aux.acc_seg: 74.5241, loss: 0.2081 +2022-02-28 06:47:48,605 - mmseg - INFO - Iter [135350/160000] lr: 3.081e-06, eta: 1:42:33, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1273, decode.acc_seg: 75.2781, aux.loss_ce: 0.0588, aux.acc_seg: 74.7028, loss: 0.1861 +2022-02-28 06:48:00,821 - mmseg - INFO - Iter [135400/160000] lr: 3.075e-06, eta: 1:42:20, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1282, decode.acc_seg: 75.0847, aux.loss_ce: 0.0597, aux.acc_seg: 74.4508, loss: 0.1879 +2022-02-28 06:48:13,010 - mmseg - INFO - Iter [135450/160000] lr: 3.069e-06, eta: 1:42:08, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1376, decode.acc_seg: 77.2051, aux.loss_ce: 0.0645, aux.acc_seg: 76.5170, loss: 0.2021 +2022-02-28 06:48:25,174 - mmseg - INFO - Iter [135500/160000] lr: 3.063e-06, eta: 1:41:55, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1427, decode.acc_seg: 78.6237, aux.loss_ce: 0.0654, aux.acc_seg: 77.9617, loss: 0.2082 +2022-02-28 06:48:37,391 - mmseg - INFO - Iter [135550/160000] lr: 3.056e-06, eta: 1:41:42, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1520, decode.acc_seg: 77.2071, aux.loss_ce: 0.0697, aux.acc_seg: 76.5462, loss: 0.2217 +2022-02-28 06:48:49,684 - mmseg - INFO - Iter [135600/160000] lr: 3.050e-06, eta: 1:41:30, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1318, decode.acc_seg: 76.6025, aux.loss_ce: 0.0615, aux.acc_seg: 75.9746, loss: 0.1933 +2022-02-28 06:49:02,007 - mmseg - INFO - Iter [135650/160000] lr: 3.044e-06, eta: 1:41:17, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1297, decode.acc_seg: 75.6094, aux.loss_ce: 0.0606, aux.acc_seg: 74.9923, loss: 0.1903 +2022-02-28 06:49:14,426 - mmseg - INFO - Iter [135700/160000] lr: 3.038e-06, eta: 1:41:05, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1318, decode.acc_seg: 77.1008, aux.loss_ce: 0.0616, aux.acc_seg: 76.4835, loss: 0.1934 +2022-02-28 06:49:26,702 - mmseg - INFO - Iter [135750/160000] lr: 3.031e-06, eta: 1:40:52, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1327, decode.acc_seg: 78.5460, aux.loss_ce: 0.0615, aux.acc_seg: 77.9484, loss: 0.1942 +2022-02-28 06:49:39,163 - mmseg - INFO - Iter [135800/160000] lr: 3.025e-06, eta: 1:40:40, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1489, decode.acc_seg: 74.9417, aux.loss_ce: 0.0682, aux.acc_seg: 74.3146, loss: 0.2170 +2022-02-28 06:49:51,399 - mmseg - INFO - Iter [135850/160000] lr: 3.019e-06, eta: 1:40:27, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1389, decode.acc_seg: 77.2580, aux.loss_ce: 0.0647, aux.acc_seg: 76.5597, loss: 0.2036 +2022-02-28 06:50:03,699 - mmseg - INFO - Iter [135900/160000] lr: 3.013e-06, eta: 1:40:15, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1462, decode.acc_seg: 76.1246, aux.loss_ce: 0.0675, aux.acc_seg: 75.4550, loss: 0.2137 +2022-02-28 06:50:15,995 - mmseg - INFO - Iter [135950/160000] lr: 3.006e-06, eta: 1:40:02, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1470, decode.acc_seg: 76.1753, aux.loss_ce: 0.0678, aux.acc_seg: 75.5256, loss: 0.2147 +2022-02-28 06:50:28,246 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 06:50:28,246 - mmseg - INFO - Iter [136000/160000] lr: 3.000e-06, eta: 1:39:50, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1462, decode.acc_seg: 76.2657, aux.loss_ce: 0.0682, aux.acc_seg: 75.6214, loss: 0.2144 +2022-02-28 06:50:40,566 - mmseg - INFO - Iter [136050/160000] lr: 2.994e-06, eta: 1:39:37, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1379, decode.acc_seg: 75.7918, aux.loss_ce: 0.0637, aux.acc_seg: 75.1927, loss: 0.2016 +2022-02-28 06:50:52,850 - mmseg - INFO - Iter [136100/160000] lr: 2.988e-06, eta: 1:39:25, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1414, decode.acc_seg: 76.0560, aux.loss_ce: 0.0663, aux.acc_seg: 75.3913, loss: 0.2077 +2022-02-28 06:51:05,207 - mmseg - INFO - Iter [136150/160000] lr: 2.981e-06, eta: 1:39:12, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1359, decode.acc_seg: 77.0380, aux.loss_ce: 0.0635, aux.acc_seg: 76.3509, loss: 0.1994 +2022-02-28 06:51:17,491 - mmseg - INFO - Iter [136200/160000] lr: 2.975e-06, eta: 1:39:00, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1392, decode.acc_seg: 75.2110, aux.loss_ce: 0.0646, aux.acc_seg: 74.6197, loss: 0.2038 +2022-02-28 06:51:29,771 - mmseg - INFO - Iter [136250/160000] lr: 2.969e-06, eta: 1:38:47, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1324, decode.acc_seg: 76.6650, aux.loss_ce: 0.0612, aux.acc_seg: 76.0607, loss: 0.1937 +2022-02-28 06:51:41,978 - mmseg - INFO - Iter [136300/160000] lr: 2.963e-06, eta: 1:38:35, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1390, decode.acc_seg: 76.7939, aux.loss_ce: 0.0649, aux.acc_seg: 76.1192, loss: 0.2039 +2022-02-28 06:51:54,133 - mmseg - INFO - Iter [136350/160000] lr: 2.956e-06, eta: 1:38:22, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1326, decode.acc_seg: 74.7868, aux.loss_ce: 0.0622, aux.acc_seg: 74.1315, loss: 0.1948 +2022-02-28 06:52:06,322 - mmseg - INFO - Iter [136400/160000] lr: 2.950e-06, eta: 1:38:10, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1374, decode.acc_seg: 75.2745, aux.loss_ce: 0.0642, aux.acc_seg: 74.6394, loss: 0.2017 +2022-02-28 06:52:21,098 - mmseg - INFO - Iter [136450/160000] lr: 2.944e-06, eta: 1:37:58, time: 0.296, data_time: 0.047, memory: 56778, decode.loss_ce: 0.1367, decode.acc_seg: 77.2994, aux.loss_ce: 0.0644, aux.acc_seg: 76.6024, loss: 0.2011 +2022-02-28 06:52:33,409 - mmseg - INFO - Iter [136500/160000] lr: 2.938e-06, eta: 1:37:45, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1339, decode.acc_seg: 76.1533, aux.loss_ce: 0.0622, aux.acc_seg: 75.5636, loss: 0.1962 +2022-02-28 06:52:45,735 - mmseg - INFO - Iter [136550/160000] lr: 2.931e-06, eta: 1:37:33, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1335, decode.acc_seg: 75.4308, aux.loss_ce: 0.0624, aux.acc_seg: 74.8463, loss: 0.1959 +2022-02-28 06:52:57,942 - mmseg - INFO - Iter [136600/160000] lr: 2.925e-06, eta: 1:37:20, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1359, decode.acc_seg: 76.2168, aux.loss_ce: 0.0634, aux.acc_seg: 75.5981, loss: 0.1993 +2022-02-28 06:53:10,255 - mmseg - INFO - Iter [136650/160000] lr: 2.919e-06, eta: 1:37:08, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1402, decode.acc_seg: 75.4971, aux.loss_ce: 0.0657, aux.acc_seg: 74.8156, loss: 0.2058 +2022-02-28 06:53:22,484 - mmseg - INFO - Iter [136700/160000] lr: 2.913e-06, eta: 1:36:55, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1353, decode.acc_seg: 76.6457, aux.loss_ce: 0.0629, aux.acc_seg: 76.0275, loss: 0.1981 +2022-02-28 06:53:34,811 - mmseg - INFO - Iter [136750/160000] lr: 2.906e-06, eta: 1:36:43, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1428, decode.acc_seg: 75.8739, aux.loss_ce: 0.0665, aux.acc_seg: 75.1792, loss: 0.2093 +2022-02-28 06:53:47,100 - mmseg - INFO - Iter [136800/160000] lr: 2.900e-06, eta: 1:36:30, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1335, decode.acc_seg: 75.7783, aux.loss_ce: 0.0628, aux.acc_seg: 75.0850, loss: 0.1963 +2022-02-28 06:53:59,407 - mmseg - INFO - Iter [136850/160000] lr: 2.894e-06, eta: 1:36:18, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1412, decode.acc_seg: 75.5213, aux.loss_ce: 0.0663, aux.acc_seg: 74.8267, loss: 0.2075 +2022-02-28 06:54:11,651 - mmseg - INFO - Iter [136900/160000] lr: 2.888e-06, eta: 1:36:05, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1391, decode.acc_seg: 75.6849, aux.loss_ce: 0.0649, aux.acc_seg: 74.9794, loss: 0.2039 +2022-02-28 06:54:23,934 - mmseg - INFO - Iter [136950/160000] lr: 2.881e-06, eta: 1:35:53, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1348, decode.acc_seg: 75.1638, aux.loss_ce: 0.0622, aux.acc_seg: 74.5256, loss: 0.1970 +2022-02-28 06:54:36,180 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 06:54:36,181 - mmseg - INFO - Iter [137000/160000] lr: 2.875e-06, eta: 1:35:40, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1349, decode.acc_seg: 75.6457, aux.loss_ce: 0.0632, aux.acc_seg: 74.9750, loss: 0.1981 +2022-02-28 06:54:48,422 - mmseg - INFO - Iter [137050/160000] lr: 2.869e-06, eta: 1:35:27, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1262, decode.acc_seg: 75.0142, aux.loss_ce: 0.0595, aux.acc_seg: 74.3074, loss: 0.1857 +2022-02-28 06:55:00,696 - mmseg - INFO - Iter [137100/160000] lr: 2.863e-06, eta: 1:35:15, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1392, decode.acc_seg: 75.6552, aux.loss_ce: 0.0649, aux.acc_seg: 74.9807, loss: 0.2041 +2022-02-28 06:55:13,010 - mmseg - INFO - Iter [137150/160000] lr: 2.856e-06, eta: 1:35:02, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1317, decode.acc_seg: 75.0062, aux.loss_ce: 0.0617, aux.acc_seg: 74.3652, loss: 0.1934 +2022-02-28 06:55:25,356 - mmseg - INFO - Iter [137200/160000] lr: 2.850e-06, eta: 1:34:50, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1454, decode.acc_seg: 76.7581, aux.loss_ce: 0.0671, aux.acc_seg: 76.1031, loss: 0.2125 +2022-02-28 06:55:37,506 - mmseg - INFO - Iter [137250/160000] lr: 2.844e-06, eta: 1:34:37, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1338, decode.acc_seg: 76.1476, aux.loss_ce: 0.0624, aux.acc_seg: 75.5104, loss: 0.1962 +2022-02-28 06:55:49,788 - mmseg - INFO - Iter [137300/160000] lr: 2.838e-06, eta: 1:34:25, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1347, decode.acc_seg: 77.2834, aux.loss_ce: 0.0625, aux.acc_seg: 76.7026, loss: 0.1972 +2022-02-28 06:56:02,111 - mmseg - INFO - Iter [137350/160000] lr: 2.831e-06, eta: 1:34:12, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1481, decode.acc_seg: 76.2555, aux.loss_ce: 0.0675, aux.acc_seg: 75.6525, loss: 0.2156 +2022-02-28 06:56:14,295 - mmseg - INFO - Iter [137400/160000] lr: 2.825e-06, eta: 1:34:00, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1353, decode.acc_seg: 76.3314, aux.loss_ce: 0.0628, aux.acc_seg: 75.7015, loss: 0.1981 +2022-02-28 06:56:26,595 - mmseg - INFO - Iter [137450/160000] lr: 2.819e-06, eta: 1:33:47, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1402, decode.acc_seg: 76.4764, aux.loss_ce: 0.0649, aux.acc_seg: 75.8550, loss: 0.2051 +2022-02-28 06:56:39,024 - mmseg - INFO - Iter [137500/160000] lr: 2.813e-06, eta: 1:33:35, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1282, decode.acc_seg: 76.2511, aux.loss_ce: 0.0596, aux.acc_seg: 75.5544, loss: 0.1878 +2022-02-28 06:56:51,385 - mmseg - INFO - Iter [137550/160000] lr: 2.806e-06, eta: 1:33:22, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1429, decode.acc_seg: 77.2227, aux.loss_ce: 0.0665, aux.acc_seg: 76.5516, loss: 0.2094 +2022-02-28 06:57:03,792 - mmseg - INFO - Iter [137600/160000] lr: 2.800e-06, eta: 1:33:10, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1399, decode.acc_seg: 77.0760, aux.loss_ce: 0.0652, aux.acc_seg: 76.4032, loss: 0.2050 +2022-02-28 06:57:16,388 - mmseg - INFO - Iter [137650/160000] lr: 2.794e-06, eta: 1:32:57, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1387, decode.acc_seg: 76.1959, aux.loss_ce: 0.0648, aux.acc_seg: 75.5412, loss: 0.2035 +2022-02-28 06:57:31,040 - mmseg - INFO - Iter [137700/160000] lr: 2.788e-06, eta: 1:32:45, time: 0.293, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1362, decode.acc_seg: 75.3167, aux.loss_ce: 0.0628, aux.acc_seg: 74.7213, loss: 0.1989 +2022-02-28 06:57:43,469 - mmseg - INFO - Iter [137750/160000] lr: 2.781e-06, eta: 1:32:33, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1416, decode.acc_seg: 76.5091, aux.loss_ce: 0.0655, aux.acc_seg: 75.8418, loss: 0.2071 +2022-02-28 06:57:55,749 - mmseg - INFO - Iter [137800/160000] lr: 2.775e-06, eta: 1:32:20, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1313, decode.acc_seg: 75.0932, aux.loss_ce: 0.0619, aux.acc_seg: 74.3927, loss: 0.1932 +2022-02-28 06:58:08,050 - mmseg - INFO - Iter [137850/160000] lr: 2.769e-06, eta: 1:32:08, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1335, decode.acc_seg: 76.4606, aux.loss_ce: 0.0623, aux.acc_seg: 75.8056, loss: 0.1958 +2022-02-28 06:58:20,420 - mmseg - INFO - Iter [137900/160000] lr: 2.763e-06, eta: 1:31:55, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1418, decode.acc_seg: 77.9174, aux.loss_ce: 0.0664, aux.acc_seg: 77.2267, loss: 0.2082 +2022-02-28 06:58:32,853 - mmseg - INFO - Iter [137950/160000] lr: 2.756e-06, eta: 1:31:43, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1322, decode.acc_seg: 76.1650, aux.loss_ce: 0.0620, aux.acc_seg: 75.5150, loss: 0.1943 +2022-02-28 06:58:45,245 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 06:58:45,245 - mmseg - INFO - Iter [138000/160000] lr: 2.750e-06, eta: 1:31:30, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1481, decode.acc_seg: 75.4742, aux.loss_ce: 0.0686, aux.acc_seg: 74.8598, loss: 0.2167 +2022-02-28 06:58:57,518 - mmseg - INFO - Iter [138050/160000] lr: 2.744e-06, eta: 1:31:18, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1288, decode.acc_seg: 75.6932, aux.loss_ce: 0.0604, aux.acc_seg: 75.0872, loss: 0.1892 +2022-02-28 06:59:09,771 - mmseg - INFO - Iter [138100/160000] lr: 2.738e-06, eta: 1:31:05, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1415, decode.acc_seg: 75.4874, aux.loss_ce: 0.0653, aux.acc_seg: 74.9056, loss: 0.2068 +2022-02-28 06:59:21,960 - mmseg - INFO - Iter [138150/160000] lr: 2.731e-06, eta: 1:30:53, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1379, decode.acc_seg: 77.0211, aux.loss_ce: 0.0642, aux.acc_seg: 76.3299, loss: 0.2021 +2022-02-28 06:59:34,238 - mmseg - INFO - Iter [138200/160000] lr: 2.725e-06, eta: 1:30:40, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1385, decode.acc_seg: 75.9880, aux.loss_ce: 0.0659, aux.acc_seg: 75.2424, loss: 0.2043 +2022-02-28 06:59:46,773 - mmseg - INFO - Iter [138250/160000] lr: 2.719e-06, eta: 1:30:28, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1292, decode.acc_seg: 75.5676, aux.loss_ce: 0.0608, aux.acc_seg: 74.9135, loss: 0.1900 +2022-02-28 06:59:58,940 - mmseg - INFO - Iter [138300/160000] lr: 2.713e-06, eta: 1:30:15, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1366, decode.acc_seg: 77.1931, aux.loss_ce: 0.0642, aux.acc_seg: 76.4441, loss: 0.2008 +2022-02-28 07:00:11,368 - mmseg - INFO - Iter [138350/160000] lr: 2.706e-06, eta: 1:30:03, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1385, decode.acc_seg: 75.6333, aux.loss_ce: 0.0645, aux.acc_seg: 75.0817, loss: 0.2030 +2022-02-28 07:00:23,659 - mmseg - INFO - Iter [138400/160000] lr: 2.700e-06, eta: 1:29:50, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1396, decode.acc_seg: 77.3480, aux.loss_ce: 0.0651, aux.acc_seg: 76.6947, loss: 0.2046 +2022-02-28 07:00:35,914 - mmseg - INFO - Iter [138450/160000] lr: 2.694e-06, eta: 1:29:38, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1267, decode.acc_seg: 76.0945, aux.loss_ce: 0.0586, aux.acc_seg: 75.4798, loss: 0.1853 +2022-02-28 07:00:48,138 - mmseg - INFO - Iter [138500/160000] lr: 2.688e-06, eta: 1:29:25, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1403, decode.acc_seg: 75.1325, aux.loss_ce: 0.0653, aux.acc_seg: 74.5351, loss: 0.2056 +2022-02-28 07:01:00,345 - mmseg - INFO - Iter [138550/160000] lr: 2.681e-06, eta: 1:29:13, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1245, decode.acc_seg: 76.0585, aux.loss_ce: 0.0590, aux.acc_seg: 75.4002, loss: 0.1835 +2022-02-28 07:01:12,669 - mmseg - INFO - Iter [138600/160000] lr: 2.675e-06, eta: 1:29:00, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1302, decode.acc_seg: 75.4384, aux.loss_ce: 0.0610, aux.acc_seg: 74.8434, loss: 0.1911 +2022-02-28 07:01:24,942 - mmseg - INFO - Iter [138650/160000] lr: 2.669e-06, eta: 1:28:48, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1390, decode.acc_seg: 76.0522, aux.loss_ce: 0.0645, aux.acc_seg: 75.4749, loss: 0.2035 +2022-02-28 07:01:37,278 - mmseg - INFO - Iter [138700/160000] lr: 2.663e-06, eta: 1:28:35, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1357, decode.acc_seg: 75.0543, aux.loss_ce: 0.0627, aux.acc_seg: 74.4773, loss: 0.1985 +2022-02-28 07:01:49,507 - mmseg - INFO - Iter [138750/160000] lr: 2.656e-06, eta: 1:28:23, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1398, decode.acc_seg: 74.8579, aux.loss_ce: 0.0654, aux.acc_seg: 74.1838, loss: 0.2052 +2022-02-28 07:02:01,708 - mmseg - INFO - Iter [138800/160000] lr: 2.650e-06, eta: 1:28:10, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1400, decode.acc_seg: 75.6871, aux.loss_ce: 0.0655, aux.acc_seg: 75.0207, loss: 0.2055 +2022-02-28 07:02:14,058 - mmseg - INFO - Iter [138850/160000] lr: 2.644e-06, eta: 1:27:58, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1395, decode.acc_seg: 75.3523, aux.loss_ce: 0.0645, aux.acc_seg: 74.7661, loss: 0.2040 +2022-02-28 07:02:26,491 - mmseg - INFO - Iter [138900/160000] lr: 2.638e-06, eta: 1:27:45, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1346, decode.acc_seg: 75.7096, aux.loss_ce: 0.0630, aux.acc_seg: 75.0604, loss: 0.1977 +2022-02-28 07:02:40,949 - mmseg - INFO - Iter [138950/160000] lr: 2.631e-06, eta: 1:27:33, time: 0.289, data_time: 0.048, memory: 56778, decode.loss_ce: 0.1413, decode.acc_seg: 75.7257, aux.loss_ce: 0.0645, aux.acc_seg: 75.2081, loss: 0.2058 +2022-02-28 07:02:53,271 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 07:02:53,272 - mmseg - INFO - Iter [139000/160000] lr: 2.625e-06, eta: 1:27:21, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1351, decode.acc_seg: 76.8457, aux.loss_ce: 0.0635, aux.acc_seg: 76.1507, loss: 0.1986 +2022-02-28 07:03:05,575 - mmseg - INFO - Iter [139050/160000] lr: 2.619e-06, eta: 1:27:08, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1348, decode.acc_seg: 75.5040, aux.loss_ce: 0.0634, aux.acc_seg: 74.8367, loss: 0.1982 +2022-02-28 07:03:17,741 - mmseg - INFO - Iter [139100/160000] lr: 2.613e-06, eta: 1:26:55, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1415, decode.acc_seg: 76.3889, aux.loss_ce: 0.0653, aux.acc_seg: 75.7721, loss: 0.2068 +2022-02-28 07:03:29,897 - mmseg - INFO - Iter [139150/160000] lr: 2.606e-06, eta: 1:26:43, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1428, decode.acc_seg: 75.4854, aux.loss_ce: 0.0672, aux.acc_seg: 74.7714, loss: 0.2100 +2022-02-28 07:03:42,154 - mmseg - INFO - Iter [139200/160000] lr: 2.600e-06, eta: 1:26:30, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1374, decode.acc_seg: 76.7489, aux.loss_ce: 0.0648, aux.acc_seg: 76.0801, loss: 0.2022 +2022-02-28 07:03:54,321 - mmseg - INFO - Iter [139250/160000] lr: 2.594e-06, eta: 1:26:18, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1319, decode.acc_seg: 74.7051, aux.loss_ce: 0.0617, aux.acc_seg: 74.0406, loss: 0.1936 +2022-02-28 07:04:06,651 - mmseg - INFO - Iter [139300/160000] lr: 2.588e-06, eta: 1:26:05, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1347, decode.acc_seg: 77.3287, aux.loss_ce: 0.0629, aux.acc_seg: 76.7181, loss: 0.1976 +2022-02-28 07:04:18,915 - mmseg - INFO - Iter [139350/160000] lr: 2.581e-06, eta: 1:25:53, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1294, decode.acc_seg: 75.0942, aux.loss_ce: 0.0607, aux.acc_seg: 74.3896, loss: 0.1900 +2022-02-28 07:04:31,178 - mmseg - INFO - Iter [139400/160000] lr: 2.575e-06, eta: 1:25:40, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1322, decode.acc_seg: 74.6871, aux.loss_ce: 0.0612, aux.acc_seg: 74.1029, loss: 0.1933 +2022-02-28 07:04:43,648 - mmseg - INFO - Iter [139450/160000] lr: 2.569e-06, eta: 1:25:28, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1418, decode.acc_seg: 76.1537, aux.loss_ce: 0.0673, aux.acc_seg: 75.4420, loss: 0.2091 +2022-02-28 07:04:56,051 - mmseg - INFO - Iter [139500/160000] lr: 2.563e-06, eta: 1:25:15, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1284, decode.acc_seg: 76.3028, aux.loss_ce: 0.0599, aux.acc_seg: 75.6714, loss: 0.1883 +2022-02-28 07:05:08,304 - mmseg - INFO - Iter [139550/160000] lr: 2.556e-06, eta: 1:25:03, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1336, decode.acc_seg: 76.3728, aux.loss_ce: 0.0629, aux.acc_seg: 75.7204, loss: 0.1964 +2022-02-28 07:05:20,497 - mmseg - INFO - Iter [139600/160000] lr: 2.550e-06, eta: 1:24:50, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1345, decode.acc_seg: 75.1639, aux.loss_ce: 0.0623, aux.acc_seg: 74.5145, loss: 0.1968 +2022-02-28 07:05:32,679 - mmseg - INFO - Iter [139650/160000] lr: 2.544e-06, eta: 1:24:38, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1344, decode.acc_seg: 76.1114, aux.loss_ce: 0.0629, aux.acc_seg: 75.4802, loss: 0.1972 +2022-02-28 07:05:45,020 - mmseg - INFO - Iter [139700/160000] lr: 2.538e-06, eta: 1:24:25, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1378, decode.acc_seg: 78.2159, aux.loss_ce: 0.0646, aux.acc_seg: 77.5392, loss: 0.2024 +2022-02-28 07:05:57,242 - mmseg - INFO - Iter [139750/160000] lr: 2.531e-06, eta: 1:24:13, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1341, decode.acc_seg: 76.1743, aux.loss_ce: 0.0631, aux.acc_seg: 75.5054, loss: 0.1972 +2022-02-28 07:06:09,444 - mmseg - INFO - Iter [139800/160000] lr: 2.525e-06, eta: 1:24:00, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1371, decode.acc_seg: 76.0955, aux.loss_ce: 0.0631, aux.acc_seg: 75.5278, loss: 0.2002 +2022-02-28 07:06:21,728 - mmseg - INFO - Iter [139850/160000] lr: 2.519e-06, eta: 1:23:48, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1327, decode.acc_seg: 75.2147, aux.loss_ce: 0.0617, aux.acc_seg: 74.6747, loss: 0.1944 +2022-02-28 07:06:34,065 - mmseg - INFO - Iter [139900/160000] lr: 2.513e-06, eta: 1:23:35, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1441, decode.acc_seg: 76.3351, aux.loss_ce: 0.0671, aux.acc_seg: 75.6760, loss: 0.2111 +2022-02-28 07:06:46,237 - mmseg - INFO - Iter [139950/160000] lr: 2.506e-06, eta: 1:23:23, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1364, decode.acc_seg: 75.8892, aux.loss_ce: 0.0628, aux.acc_seg: 75.2878, loss: 0.1992 +2022-02-28 07:06:58,427 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 07:06:58,427 - mmseg - INFO - Iter [140000/160000] lr: 2.500e-06, eta: 1:23:10, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1356, decode.acc_seg: 77.4503, aux.loss_ce: 0.0625, aux.acc_seg: 76.8733, loss: 0.1981 +2022-02-28 07:07:10,723 - mmseg - INFO - Iter [140050/160000] lr: 2.494e-06, eta: 1:22:58, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1336, decode.acc_seg: 76.5278, aux.loss_ce: 0.0624, aux.acc_seg: 75.8537, loss: 0.1960 +2022-02-28 07:07:23,136 - mmseg - INFO - Iter [140100/160000] lr: 2.488e-06, eta: 1:22:45, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1322, decode.acc_seg: 75.7766, aux.loss_ce: 0.0621, aux.acc_seg: 75.1196, loss: 0.1943 +2022-02-28 07:07:35,407 - mmseg - INFO - Iter [140150/160000] lr: 2.481e-06, eta: 1:22:33, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1325, decode.acc_seg: 76.6246, aux.loss_ce: 0.0625, aux.acc_seg: 75.9328, loss: 0.1950 +2022-02-28 07:07:49,871 - mmseg - INFO - Iter [140200/160000] lr: 2.475e-06, eta: 1:22:21, time: 0.289, data_time: 0.046, memory: 56778, decode.loss_ce: 0.1382, decode.acc_seg: 75.7398, aux.loss_ce: 0.0640, aux.acc_seg: 75.1457, loss: 0.2022 +2022-02-28 07:08:02,163 - mmseg - INFO - Iter [140250/160000] lr: 2.469e-06, eta: 1:22:08, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1351, decode.acc_seg: 76.4857, aux.loss_ce: 0.0634, aux.acc_seg: 75.8241, loss: 0.1985 +2022-02-28 07:08:14,332 - mmseg - INFO - Iter [140300/160000] lr: 2.463e-06, eta: 1:21:56, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1330, decode.acc_seg: 76.0535, aux.loss_ce: 0.0624, aux.acc_seg: 75.3968, loss: 0.1954 +2022-02-28 07:08:26,777 - mmseg - INFO - Iter [140350/160000] lr: 2.456e-06, eta: 1:21:43, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1357, decode.acc_seg: 77.1884, aux.loss_ce: 0.0626, aux.acc_seg: 76.6103, loss: 0.1983 +2022-02-28 07:08:39,052 - mmseg - INFO - Iter [140400/160000] lr: 2.450e-06, eta: 1:21:31, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1402, decode.acc_seg: 77.1267, aux.loss_ce: 0.0657, aux.acc_seg: 76.4524, loss: 0.2059 +2022-02-28 07:08:51,349 - mmseg - INFO - Iter [140450/160000] lr: 2.444e-06, eta: 1:21:18, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1242, decode.acc_seg: 76.0189, aux.loss_ce: 0.0580, aux.acc_seg: 75.4714, loss: 0.1822 +2022-02-28 07:09:03,533 - mmseg - INFO - Iter [140500/160000] lr: 2.438e-06, eta: 1:21:06, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1364, decode.acc_seg: 76.6239, aux.loss_ce: 0.0638, aux.acc_seg: 75.9486, loss: 0.2002 +2022-02-28 07:09:15,727 - mmseg - INFO - Iter [140550/160000] lr: 2.431e-06, eta: 1:20:53, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1346, decode.acc_seg: 76.0158, aux.loss_ce: 0.0621, aux.acc_seg: 75.4993, loss: 0.1967 +2022-02-28 07:09:28,121 - mmseg - INFO - Iter [140600/160000] lr: 2.425e-06, eta: 1:20:41, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1421, decode.acc_seg: 75.2409, aux.loss_ce: 0.0664, aux.acc_seg: 74.5633, loss: 0.2084 +2022-02-28 07:09:40,287 - mmseg - INFO - Iter [140650/160000] lr: 2.419e-06, eta: 1:20:28, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1334, decode.acc_seg: 74.8641, aux.loss_ce: 0.0622, aux.acc_seg: 74.1743, loss: 0.1956 +2022-02-28 07:09:52,620 - mmseg - INFO - Iter [140700/160000] lr: 2.413e-06, eta: 1:20:16, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1329, decode.acc_seg: 73.9297, aux.loss_ce: 0.0625, aux.acc_seg: 73.2704, loss: 0.1954 +2022-02-28 07:10:04,846 - mmseg - INFO - Iter [140750/160000] lr: 2.406e-06, eta: 1:20:03, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1296, decode.acc_seg: 75.8786, aux.loss_ce: 0.0605, aux.acc_seg: 75.2653, loss: 0.1900 +2022-02-28 07:10:17,008 - mmseg - INFO - Iter [140800/160000] lr: 2.400e-06, eta: 1:19:51, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1336, decode.acc_seg: 76.3068, aux.loss_ce: 0.0622, aux.acc_seg: 75.7074, loss: 0.1958 +2022-02-28 07:10:29,310 - mmseg - INFO - Iter [140850/160000] lr: 2.394e-06, eta: 1:19:38, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1393, decode.acc_seg: 75.9397, aux.loss_ce: 0.0655, aux.acc_seg: 75.2507, loss: 0.2048 +2022-02-28 07:10:41,530 - mmseg - INFO - Iter [140900/160000] lr: 2.388e-06, eta: 1:19:26, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1315, decode.acc_seg: 76.8318, aux.loss_ce: 0.0614, aux.acc_seg: 76.2056, loss: 0.1928 +2022-02-28 07:10:53,680 - mmseg - INFO - Iter [140950/160000] lr: 2.381e-06, eta: 1:19:13, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1345, decode.acc_seg: 75.7157, aux.loss_ce: 0.0638, aux.acc_seg: 75.0149, loss: 0.1983 +2022-02-28 07:11:05,869 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 07:11:05,869 - mmseg - INFO - Iter [141000/160000] lr: 2.375e-06, eta: 1:19:00, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1372, decode.acc_seg: 75.8040, aux.loss_ce: 0.0641, aux.acc_seg: 75.1213, loss: 0.2013 +2022-02-28 07:11:18,264 - mmseg - INFO - Iter [141050/160000] lr: 2.369e-06, eta: 1:18:48, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1325, decode.acc_seg: 75.0273, aux.loss_ce: 0.0616, aux.acc_seg: 74.4410, loss: 0.1940 +2022-02-28 07:11:30,412 - mmseg - INFO - Iter [141100/160000] lr: 2.363e-06, eta: 1:18:35, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1350, decode.acc_seg: 75.9125, aux.loss_ce: 0.0627, aux.acc_seg: 75.2760, loss: 0.1977 +2022-02-28 07:11:42,735 - mmseg - INFO - Iter [141150/160000] lr: 2.356e-06, eta: 1:18:23, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1333, decode.acc_seg: 75.2715, aux.loss_ce: 0.0622, aux.acc_seg: 74.6140, loss: 0.1954 +2022-02-28 07:11:55,103 - mmseg - INFO - Iter [141200/160000] lr: 2.350e-06, eta: 1:18:10, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1321, decode.acc_seg: 76.1817, aux.loss_ce: 0.0617, aux.acc_seg: 75.5276, loss: 0.1938 +2022-02-28 07:12:07,322 - mmseg - INFO - Iter [141250/160000] lr: 2.344e-06, eta: 1:17:58, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1384, decode.acc_seg: 76.0849, aux.loss_ce: 0.0648, aux.acc_seg: 75.4217, loss: 0.2033 +2022-02-28 07:12:19,681 - mmseg - INFO - Iter [141300/160000] lr: 2.338e-06, eta: 1:17:45, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1338, decode.acc_seg: 75.6005, aux.loss_ce: 0.0624, aux.acc_seg: 74.9405, loss: 0.1962 +2022-02-28 07:12:31,962 - mmseg - INFO - Iter [141350/160000] lr: 2.331e-06, eta: 1:17:33, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1398, decode.acc_seg: 76.1257, aux.loss_ce: 0.0650, aux.acc_seg: 75.4214, loss: 0.2048 +2022-02-28 07:12:44,235 - mmseg - INFO - Iter [141400/160000] lr: 2.325e-06, eta: 1:17:20, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1341, decode.acc_seg: 76.6449, aux.loss_ce: 0.0635, aux.acc_seg: 75.9529, loss: 0.1977 +2022-02-28 07:12:56,567 - mmseg - INFO - Iter [141450/160000] lr: 2.319e-06, eta: 1:17:08, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1368, decode.acc_seg: 76.4504, aux.loss_ce: 0.0635, aux.acc_seg: 75.8331, loss: 0.2003 +2022-02-28 07:13:11,161 - mmseg - INFO - Iter [141500/160000] lr: 2.313e-06, eta: 1:16:56, time: 0.292, data_time: 0.049, memory: 56778, decode.loss_ce: 0.1335, decode.acc_seg: 76.7066, aux.loss_ce: 0.0623, aux.acc_seg: 76.0535, loss: 0.1957 +2022-02-28 07:13:23,440 - mmseg - INFO - Iter [141550/160000] lr: 2.306e-06, eta: 1:16:43, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1304, decode.acc_seg: 76.8407, aux.loss_ce: 0.0609, aux.acc_seg: 76.2597, loss: 0.1914 +2022-02-28 07:13:35,649 - mmseg - INFO - Iter [141600/160000] lr: 2.300e-06, eta: 1:16:31, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1321, decode.acc_seg: 75.9230, aux.loss_ce: 0.0611, aux.acc_seg: 75.3171, loss: 0.1931 +2022-02-28 07:13:47,957 - mmseg - INFO - Iter [141650/160000] lr: 2.294e-06, eta: 1:16:18, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1316, decode.acc_seg: 75.4286, aux.loss_ce: 0.0612, aux.acc_seg: 74.7973, loss: 0.1928 +2022-02-28 07:14:00,207 - mmseg - INFO - Iter [141700/160000] lr: 2.288e-06, eta: 1:16:06, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1362, decode.acc_seg: 78.5379, aux.loss_ce: 0.0633, aux.acc_seg: 77.8937, loss: 0.1995 +2022-02-28 07:14:12,427 - mmseg - INFO - Iter [141750/160000] lr: 2.281e-06, eta: 1:15:53, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1258, decode.acc_seg: 76.4018, aux.loss_ce: 0.0595, aux.acc_seg: 75.6984, loss: 0.1853 +2022-02-28 07:14:24,799 - mmseg - INFO - Iter [141800/160000] lr: 2.275e-06, eta: 1:15:41, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1362, decode.acc_seg: 76.4736, aux.loss_ce: 0.0646, aux.acc_seg: 75.7713, loss: 0.2008 +2022-02-28 07:14:37,188 - mmseg - INFO - Iter [141850/160000] lr: 2.269e-06, eta: 1:15:28, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1322, decode.acc_seg: 76.5455, aux.loss_ce: 0.0614, aux.acc_seg: 75.9561, loss: 0.1935 +2022-02-28 07:14:49,571 - mmseg - INFO - Iter [141900/160000] lr: 2.263e-06, eta: 1:15:16, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1275, decode.acc_seg: 75.5875, aux.loss_ce: 0.0606, aux.acc_seg: 74.9049, loss: 0.1881 +2022-02-28 07:15:01,778 - mmseg - INFO - Iter [141950/160000] lr: 2.256e-06, eta: 1:15:03, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1347, decode.acc_seg: 76.5981, aux.loss_ce: 0.0630, aux.acc_seg: 75.9891, loss: 0.1977 +2022-02-28 07:15:13,977 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 07:15:13,977 - mmseg - INFO - Iter [142000/160000] lr: 2.250e-06, eta: 1:14:51, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1272, decode.acc_seg: 76.1730, aux.loss_ce: 0.0590, aux.acc_seg: 75.5624, loss: 0.1862 +2022-02-28 07:15:26,162 - mmseg - INFO - Iter [142050/160000] lr: 2.244e-06, eta: 1:14:38, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1280, decode.acc_seg: 77.0042, aux.loss_ce: 0.0601, aux.acc_seg: 76.3390, loss: 0.1881 +2022-02-28 07:15:38,449 - mmseg - INFO - Iter [142100/160000] lr: 2.238e-06, eta: 1:14:26, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1304, decode.acc_seg: 76.0744, aux.loss_ce: 0.0617, aux.acc_seg: 75.4089, loss: 0.1921 +2022-02-28 07:15:50,595 - mmseg - INFO - Iter [142150/160000] lr: 2.231e-06, eta: 1:14:13, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1348, decode.acc_seg: 74.4073, aux.loss_ce: 0.0633, aux.acc_seg: 73.6786, loss: 0.1982 +2022-02-28 07:16:02,830 - mmseg - INFO - Iter [142200/160000] lr: 2.225e-06, eta: 1:14:01, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1363, decode.acc_seg: 75.0632, aux.loss_ce: 0.0636, aux.acc_seg: 74.4157, loss: 0.1999 +2022-02-28 07:16:15,137 - mmseg - INFO - Iter [142250/160000] lr: 2.219e-06, eta: 1:13:48, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1280, decode.acc_seg: 74.8943, aux.loss_ce: 0.0601, aux.acc_seg: 74.2388, loss: 0.1881 +2022-02-28 07:16:27,368 - mmseg - INFO - Iter [142300/160000] lr: 2.213e-06, eta: 1:13:36, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1314, decode.acc_seg: 75.0614, aux.loss_ce: 0.0609, aux.acc_seg: 74.4695, loss: 0.1923 +2022-02-28 07:16:39,610 - mmseg - INFO - Iter [142350/160000] lr: 2.206e-06, eta: 1:13:23, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1307, decode.acc_seg: 76.0760, aux.loss_ce: 0.0606, aux.acc_seg: 75.4905, loss: 0.1913 +2022-02-28 07:16:51,863 - mmseg - INFO - Iter [142400/160000] lr: 2.200e-06, eta: 1:13:11, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1473, decode.acc_seg: 76.2363, aux.loss_ce: 0.0692, aux.acc_seg: 75.4967, loss: 0.2165 +2022-02-28 07:17:04,103 - mmseg - INFO - Iter [142450/160000] lr: 2.194e-06, eta: 1:12:58, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1460, decode.acc_seg: 75.4474, aux.loss_ce: 0.0684, aux.acc_seg: 74.7989, loss: 0.2144 +2022-02-28 07:17:16,378 - mmseg - INFO - Iter [142500/160000] lr: 2.188e-06, eta: 1:12:46, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1342, decode.acc_seg: 76.4340, aux.loss_ce: 0.0627, aux.acc_seg: 75.8074, loss: 0.1969 +2022-02-28 07:17:28,808 - mmseg - INFO - Iter [142550/160000] lr: 2.181e-06, eta: 1:12:33, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1334, decode.acc_seg: 75.3434, aux.loss_ce: 0.0622, aux.acc_seg: 74.6841, loss: 0.1957 +2022-02-28 07:17:41,110 - mmseg - INFO - Iter [142600/160000] lr: 2.175e-06, eta: 1:12:21, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1358, decode.acc_seg: 76.5868, aux.loss_ce: 0.0636, aux.acc_seg: 75.9044, loss: 0.1995 +2022-02-28 07:17:53,510 - mmseg - INFO - Iter [142650/160000] lr: 2.169e-06, eta: 1:12:08, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1305, decode.acc_seg: 76.5361, aux.loss_ce: 0.0606, aux.acc_seg: 75.9149, loss: 0.1911 +2022-02-28 07:18:05,752 - mmseg - INFO - Iter [142700/160000] lr: 2.163e-06, eta: 1:11:56, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1314, decode.acc_seg: 76.1374, aux.loss_ce: 0.0616, aux.acc_seg: 75.5004, loss: 0.1931 +2022-02-28 07:18:20,422 - mmseg - INFO - Iter [142750/160000] lr: 2.156e-06, eta: 1:11:44, time: 0.294, data_time: 0.051, memory: 56778, decode.loss_ce: 0.1382, decode.acc_seg: 76.7959, aux.loss_ce: 0.0645, aux.acc_seg: 76.1308, loss: 0.2027 +2022-02-28 07:18:32,641 - mmseg - INFO - Iter [142800/160000] lr: 2.150e-06, eta: 1:11:31, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1351, decode.acc_seg: 76.5286, aux.loss_ce: 0.0634, aux.acc_seg: 75.8688, loss: 0.1985 +2022-02-28 07:18:44,824 - mmseg - INFO - Iter [142850/160000] lr: 2.144e-06, eta: 1:11:19, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1356, decode.acc_seg: 75.4880, aux.loss_ce: 0.0628, aux.acc_seg: 74.8613, loss: 0.1984 +2022-02-28 07:18:57,152 - mmseg - INFO - Iter [142900/160000] lr: 2.138e-06, eta: 1:11:06, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1339, decode.acc_seg: 76.4165, aux.loss_ce: 0.0624, aux.acc_seg: 75.7445, loss: 0.1963 +2022-02-28 07:19:09,415 - mmseg - INFO - Iter [142950/160000] lr: 2.131e-06, eta: 1:10:54, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1341, decode.acc_seg: 76.8205, aux.loss_ce: 0.0630, aux.acc_seg: 76.1378, loss: 0.1971 +2022-02-28 07:19:21,571 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 07:19:21,572 - mmseg - INFO - Iter [143000/160000] lr: 2.125e-06, eta: 1:10:41, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1337, decode.acc_seg: 76.6398, aux.loss_ce: 0.0630, aux.acc_seg: 76.0047, loss: 0.1967 +2022-02-28 07:19:33,806 - mmseg - INFO - Iter [143050/160000] lr: 2.119e-06, eta: 1:10:29, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1331, decode.acc_seg: 74.5553, aux.loss_ce: 0.0620, aux.acc_seg: 73.8691, loss: 0.1951 +2022-02-28 07:19:46,195 - mmseg - INFO - Iter [143100/160000] lr: 2.113e-06, eta: 1:10:16, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1264, decode.acc_seg: 76.0183, aux.loss_ce: 0.0591, aux.acc_seg: 75.4393, loss: 0.1855 +2022-02-28 07:19:58,436 - mmseg - INFO - Iter [143150/160000] lr: 2.106e-06, eta: 1:10:04, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1249, decode.acc_seg: 76.1483, aux.loss_ce: 0.0584, aux.acc_seg: 75.5819, loss: 0.1833 +2022-02-28 07:20:10,643 - mmseg - INFO - Iter [143200/160000] lr: 2.100e-06, eta: 1:09:51, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1391, decode.acc_seg: 75.3220, aux.loss_ce: 0.0654, aux.acc_seg: 74.6268, loss: 0.2044 +2022-02-28 07:20:23,039 - mmseg - INFO - Iter [143250/160000] lr: 2.094e-06, eta: 1:09:39, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1356, decode.acc_seg: 76.8483, aux.loss_ce: 0.0635, aux.acc_seg: 76.1735, loss: 0.1992 +2022-02-28 07:20:35,488 - mmseg - INFO - Iter [143300/160000] lr: 2.088e-06, eta: 1:09:26, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1377, decode.acc_seg: 75.8711, aux.loss_ce: 0.0636, aux.acc_seg: 75.2563, loss: 0.2013 +2022-02-28 07:20:47,713 - mmseg - INFO - Iter [143350/160000] lr: 2.081e-06, eta: 1:09:14, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1308, decode.acc_seg: 76.5239, aux.loss_ce: 0.0611, aux.acc_seg: 75.8848, loss: 0.1919 +2022-02-28 07:20:59,925 - mmseg - INFO - Iter [143400/160000] lr: 2.075e-06, eta: 1:09:01, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1404, decode.acc_seg: 75.9435, aux.loss_ce: 0.0658, aux.acc_seg: 75.2625, loss: 0.2062 +2022-02-28 07:21:12,264 - mmseg - INFO - Iter [143450/160000] lr: 2.069e-06, eta: 1:08:49, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1258, decode.acc_seg: 75.8838, aux.loss_ce: 0.0591, aux.acc_seg: 75.2473, loss: 0.1849 +2022-02-28 07:21:24,560 - mmseg - INFO - Iter [143500/160000] lr: 2.063e-06, eta: 1:08:36, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1350, decode.acc_seg: 76.8024, aux.loss_ce: 0.0634, aux.acc_seg: 76.1570, loss: 0.1984 +2022-02-28 07:21:36,750 - mmseg - INFO - Iter [143550/160000] lr: 2.056e-06, eta: 1:08:24, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1364, decode.acc_seg: 75.1840, aux.loss_ce: 0.0635, aux.acc_seg: 74.5016, loss: 0.1999 +2022-02-28 07:21:49,007 - mmseg - INFO - Iter [143600/160000] lr: 2.050e-06, eta: 1:08:11, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1328, decode.acc_seg: 76.5666, aux.loss_ce: 0.0631, aux.acc_seg: 75.7962, loss: 0.1959 +2022-02-28 07:22:01,391 - mmseg - INFO - Iter [143650/160000] lr: 2.044e-06, eta: 1:07:59, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1340, decode.acc_seg: 75.6780, aux.loss_ce: 0.0626, aux.acc_seg: 75.0276, loss: 0.1966 +2022-02-28 07:22:13,564 - mmseg - INFO - Iter [143700/160000] lr: 2.038e-06, eta: 1:07:46, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1292, decode.acc_seg: 76.8033, aux.loss_ce: 0.0606, aux.acc_seg: 76.1670, loss: 0.1898 +2022-02-28 07:22:25,799 - mmseg - INFO - Iter [143750/160000] lr: 2.031e-06, eta: 1:07:34, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1328, decode.acc_seg: 76.6865, aux.loss_ce: 0.0619, aux.acc_seg: 76.0437, loss: 0.1948 +2022-02-28 07:22:38,164 - mmseg - INFO - Iter [143800/160000] lr: 2.025e-06, eta: 1:07:21, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1292, decode.acc_seg: 75.2473, aux.loss_ce: 0.0605, aux.acc_seg: 74.5987, loss: 0.1897 +2022-02-28 07:22:50,415 - mmseg - INFO - Iter [143850/160000] lr: 2.019e-06, eta: 1:07:09, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1301, decode.acc_seg: 75.9369, aux.loss_ce: 0.0607, aux.acc_seg: 75.2873, loss: 0.1908 +2022-02-28 07:23:02,774 - mmseg - INFO - Iter [143900/160000] lr: 2.013e-06, eta: 1:06:56, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1337, decode.acc_seg: 75.4486, aux.loss_ce: 0.0629, aux.acc_seg: 74.7717, loss: 0.1966 +2022-02-28 07:23:15,055 - mmseg - INFO - Iter [143950/160000] lr: 2.006e-06, eta: 1:06:44, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1364, decode.acc_seg: 77.0038, aux.loss_ce: 0.0636, aux.acc_seg: 76.3080, loss: 0.2000 +2022-02-28 07:23:29,778 - mmseg - INFO - Saving checkpoint at 144000 iterations +2022-02-28 07:23:32,679 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 07:23:32,679 - mmseg - INFO - Iter [144000/160000] lr: 2.000e-06, eta: 1:06:32, time: 0.353, data_time: 0.049, memory: 56778, decode.loss_ce: 0.1344, decode.acc_seg: 76.8431, aux.loss_ce: 0.0628, aux.acc_seg: 76.2327, loss: 0.1972 +2022-02-28 07:23:53,339 - mmseg - INFO - per class results: +2022-02-28 07:23:53,346 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 78.18 | 88.86 | +| building | 83.17 | 92.85 | +| sky | 94.54 | 97.36 | +| floor | 81.21 | 91.83 | +| tree | 74.46 | 88.96 | +| ceiling | 83.64 | 92.63 | +| road | 84.39 | 90.56 | +| bed | 89.68 | 96.53 | +| windowpane | 62.89 | 78.75 | +| grass | 66.75 | 83.65 | +| cabinet | 62.51 | 74.67 | +| sidewalk | 69.7 | 84.1 | +| person | 82.42 | 93.45 | +| earth | 38.91 | 53.96 | +| door | 52.68 | 67.03 | +| table | 65.44 | 80.87 | +| mountain | 57.36 | 71.64 | +| plant | 49.21 | 59.73 | +| curtain | 72.94 | 85.09 | +| chair | 59.83 | 72.79 | +| car | 84.79 | 92.49 | +| water | 59.61 | 76.48 | +| painting | 75.31 | 88.34 | +| sofa | 69.08 | 81.84 | +| shelf | 44.21 | 64.49 | +| house | 51.85 | 61.87 | +| sea | 66.89 | 82.2 | +| mirror | 69.71 | 76.45 | +| rug | 63.37 | 71.03 | +| field | 32.64 | 44.64 | +| armchair | 45.41 | 69.13 | +| seat | 62.94 | 81.72 | +| fence | 47.79 | 61.11 | +| desk | 52.99 | 74.41 | +| rock | 36.75 | 57.41 | +| wardrobe | 49.86 | 67.97 | +| lamp | 66.31 | 79.05 | +| bathtub | 81.9 | 85.39 | +| railing | 35.54 | 47.88 | +| cushion | 59.45 | 75.42 | +| base | 31.22 | 41.9 | +| box | 26.51 | 32.57 | +| column | 44.34 | 54.59 | +| signboard | 34.6 | 49.47 | +| chest of drawers | 41.56 | 58.43 | +| counter | 31.47 | 38.93 | +| sand | 55.75 | 74.86 | +| sink | 75.85 | 82.63 | +| skyscraper | 51.15 | 65.73 | +| fireplace | 77.91 | 91.19 | +| refrigerator | 75.43 | 79.93 | +| grandstand | 44.28 | 77.52 | +| path | 25.74 | 33.99 | +| stairs | 26.6 | 32.21 | +| runway | 65.1 | 85.82 | +| case | 57.52 | 75.62 | +| pool table | 93.61 | 96.73 | +| pillow | 55.85 | 63.68 | +| screen door | 68.77 | 70.41 | +| stairway | 28.01 | 39.38 | +| river | 9.83 | 21.17 | +| bridge | 71.01 | 78.32 | +| bookcase | 50.08 | 65.38 | +| blind | 43.63 | 46.93 | +| coffee table | 65.94 | 78.21 | +| toilet | 86.8 | 91.0 | +| flower | 43.06 | 56.81 | +| book | 48.67 | 65.82 | +| hill | 14.68 | 21.28 | +| bench | 43.21 | 49.88 | +| countertop | 61.69 | 81.13 | +| stove | 79.76 | 84.41 | +| palm | 51.08 | 73.11 | +| kitchen island | 47.76 | 79.15 | +| computer | 72.85 | 84.6 | +| swivel chair | 44.91 | 58.74 | +| boat | 46.65 | 53.14 | +| bar | 28.62 | 34.12 | +| arcade machine | 25.97 | 27.41 | +| hovel | 61.39 | 65.57 | +| bus | 88.55 | 96.16 | +| towel | 69.76 | 80.84 | +| light | 57.18 | 67.01 | +| truck | 28.3 | 35.35 | +| tower | 10.92 | 17.11 | +| chandelier | 70.26 | 81.5 | +| awning | 29.27 | 32.59 | +| streetlight | 27.98 | 34.9 | +| booth | 49.38 | 58.83 | +| television receiver | 68.06 | 81.15 | +| airplane | 60.47 | 66.36 | +| dirt track | 0.55 | 2.91 | +| apparel | 37.85 | 50.43 | +| pole | 26.7 | 34.84 | +| land | 1.26 | 1.81 | +| bannister | 16.99 | 21.2 | +| escalator | 42.13 | 57.49 | +| ottoman | 55.66 | 66.11 | +| bottle | 37.41 | 55.95 | +| buffet | 37.39 | 42.09 | +| poster | 28.2 | 41.58 | +| stage | 20.83 | 26.85 | +| van | 42.96 | 59.37 | +| ship | 19.71 | 29.02 | +| fountain | 28.23 | 28.91 | +| conveyer belt | 76.98 | 87.46 | +| canopy | 35.66 | 46.22 | +| washer | 73.73 | 77.06 | +| plaything | 28.38 | 36.97 | +| swimming pool | 52.39 | 53.96 | +| stool | 51.64 | 64.82 | +| barrel | 64.42 | 72.99 | +| basket | 39.12 | 52.74 | +| waterfall | 51.17 | 56.1 | +| tent | 89.1 | 98.53 | +| bag | 17.5 | 21.99 | +| minibike | 69.42 | 84.99 | +| cradle | 85.38 | 97.18 | +| oven | 50.46 | 62.72 | +| ball | 50.23 | 65.72 | +| food | 50.87 | 60.85 | +| step | 6.31 | 7.04 | +| tank | 47.75 | 48.64 | +| trade name | 23.18 | 26.71 | +| microwave | 82.39 | 91.52 | +| pot | 46.0 | 52.33 | +| animal | 57.0 | 59.38 | +| bicycle | 57.46 | 78.39 | +| lake | 56.85 | 63.71 | +| dishwasher | 69.61 | 75.94 | +| screen | 57.98 | 73.85 | +| blanket | 15.1 | 19.14 | +| sculpture | 72.37 | 86.27 | +| hood | 58.92 | 68.43 | +| sconce | 52.67 | 64.02 | +| vase | 43.08 | 58.21 | +| traffic light | 31.49 | 54.46 | +| tray | 12.23 | 15.8 | +| ashcan | 43.49 | 57.78 | +| fan | 67.46 | 79.97 | +| pier | 42.84 | 50.93 | +| crt screen | 13.5 | 18.9 | +| plate | 54.83 | 74.55 | +| monitor | 56.57 | 76.48 | +| bulletin board | 38.48 | 45.65 | +| shower | 4.4 | 7.05 | +| radiator | 64.29 | 69.87 | +| glass | 13.51 | 14.56 | +| clock | 33.18 | 38.76 | +| flag | 57.07 | 62.77 | ++---------------------+-------+-------+ +2022-02-28 07:23:53,346 - mmseg - INFO - Summary: +2022-02-28 07:23:53,346 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 83.83 | 51.32 | 61.99 | ++-------+-------+-------+ +2022-02-28 07:23:53,357 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 07:23:53,358 - mmseg - INFO - Iter(val) [250] aAcc: 0.8383, mIoU: 0.5132, mAcc: 0.6199, IoU.wall: 0.7818, IoU.building: 0.8317, IoU.sky: 0.9454, IoU.floor: 0.8121, IoU.tree: 0.7446, IoU.ceiling: 0.8364, IoU.road: 0.8439, IoU.bed : 0.8968, IoU.windowpane: 0.6289, IoU.grass: 0.6675, IoU.cabinet: 0.6251, IoU.sidewalk: 0.6970, IoU.person: 0.8242, IoU.earth: 0.3891, IoU.door: 0.5268, IoU.table: 0.6544, IoU.mountain: 0.5736, IoU.plant: 0.4921, IoU.curtain: 0.7294, IoU.chair: 0.5983, IoU.car: 0.8479, IoU.water: 0.5961, IoU.painting: 0.7531, IoU.sofa: 0.6908, IoU.shelf: 0.4421, IoU.house: 0.5185, IoU.sea: 0.6689, IoU.mirror: 0.6971, IoU.rug: 0.6337, IoU.field: 0.3264, IoU.armchair: 0.4541, IoU.seat: 0.6294, IoU.fence: 0.4779, IoU.desk: 0.5299, IoU.rock: 0.3675, IoU.wardrobe: 0.4986, IoU.lamp: 0.6631, IoU.bathtub: 0.8190, IoU.railing: 0.3554, IoU.cushion: 0.5945, IoU.base: 0.3122, IoU.box: 0.2651, IoU.column: 0.4434, IoU.signboard: 0.3460, IoU.chest of drawers: 0.4156, IoU.counter: 0.3147, IoU.sand: 0.5575, IoU.sink: 0.7585, IoU.skyscraper: 0.5115, IoU.fireplace: 0.7791, IoU.refrigerator: 0.7543, IoU.grandstand: 0.4428, IoU.path: 0.2574, IoU.stairs: 0.2660, IoU.runway: 0.6510, IoU.case: 0.5752, IoU.pool table: 0.9361, IoU.pillow: 0.5585, IoU.screen door: 0.6877, IoU.stairway: 0.2801, IoU.river: 0.0983, IoU.bridge: 0.7101, IoU.bookcase: 0.5008, IoU.blind: 0.4363, IoU.coffee table: 0.6594, IoU.toilet: 0.8680, IoU.flower: 0.4306, IoU.book: 0.4867, IoU.hill: 0.1468, IoU.bench: 0.4321, IoU.countertop: 0.6169, IoU.stove: 0.7976, IoU.palm: 0.5108, IoU.kitchen island: 0.4776, IoU.computer: 0.7285, IoU.swivel chair: 0.4491, IoU.boat: 0.4665, IoU.bar: 0.2862, IoU.arcade machine: 0.2597, IoU.hovel: 0.6139, IoU.bus: 0.8855, IoU.towel: 0.6976, IoU.light: 0.5718, IoU.truck: 0.2830, IoU.tower: 0.1092, IoU.chandelier: 0.7026, IoU.awning: 0.2927, IoU.streetlight: 0.2798, IoU.booth: 0.4938, IoU.television receiver: 0.6806, IoU.airplane: 0.6047, IoU.dirt track: 0.0055, IoU.apparel: 0.3785, IoU.pole: 0.2670, IoU.land: 0.0126, IoU.bannister: 0.1699, IoU.escalator: 0.4213, IoU.ottoman: 0.5566, IoU.bottle: 0.3741, IoU.buffet: 0.3739, IoU.poster: 0.2820, IoU.stage: 0.2083, IoU.van: 0.4296, IoU.ship: 0.1971, IoU.fountain: 0.2823, IoU.conveyer belt: 0.7698, IoU.canopy: 0.3566, IoU.washer: 0.7373, IoU.plaything: 0.2838, IoU.swimming pool: 0.5239, IoU.stool: 0.5164, IoU.barrel: 0.6442, IoU.basket: 0.3912, IoU.waterfall: 0.5117, IoU.tent: 0.8910, IoU.bag: 0.1750, IoU.minibike: 0.6942, IoU.cradle: 0.8538, IoU.oven: 0.5046, IoU.ball: 0.5023, IoU.food: 0.5087, IoU.step: 0.0631, IoU.tank: 0.4775, IoU.trade name: 0.2318, IoU.microwave: 0.8239, IoU.pot: 0.4600, IoU.animal: 0.5700, IoU.bicycle: 0.5746, IoU.lake: 0.5685, IoU.dishwasher: 0.6961, IoU.screen: 0.5798, IoU.blanket: 0.1510, IoU.sculpture: 0.7237, IoU.hood: 0.5892, IoU.sconce: 0.5267, IoU.vase: 0.4308, IoU.traffic light: 0.3149, IoU.tray: 0.1223, IoU.ashcan: 0.4349, IoU.fan: 0.6746, IoU.pier: 0.4284, IoU.crt screen: 0.1350, IoU.plate: 0.5483, IoU.monitor: 0.5657, IoU.bulletin board: 0.3848, IoU.shower: 0.0440, IoU.radiator: 0.6429, IoU.glass: 0.1351, IoU.clock: 0.3318, IoU.flag: 0.5707, Acc.wall: 0.8886, Acc.building: 0.9285, Acc.sky: 0.9736, Acc.floor: 0.9183, Acc.tree: 0.8896, Acc.ceiling: 0.9263, Acc.road: 0.9056, Acc.bed : 0.9653, Acc.windowpane: 0.7875, Acc.grass: 0.8365, Acc.cabinet: 0.7467, Acc.sidewalk: 0.8410, Acc.person: 0.9345, Acc.earth: 0.5396, Acc.door: 0.6703, Acc.table: 0.8087, Acc.mountain: 0.7164, Acc.plant: 0.5973, Acc.curtain: 0.8509, Acc.chair: 0.7279, Acc.car: 0.9249, Acc.water: 0.7648, Acc.painting: 0.8834, Acc.sofa: 0.8184, Acc.shelf: 0.6449, Acc.house: 0.6187, Acc.sea: 0.8220, Acc.mirror: 0.7645, Acc.rug: 0.7103, Acc.field: 0.4464, Acc.armchair: 0.6913, Acc.seat: 0.8172, Acc.fence: 0.6111, Acc.desk: 0.7441, Acc.rock: 0.5741, Acc.wardrobe: 0.6797, Acc.lamp: 0.7905, Acc.bathtub: 0.8539, Acc.railing: 0.4788, Acc.cushion: 0.7542, Acc.base: 0.4190, Acc.box: 0.3257, Acc.column: 0.5459, Acc.signboard: 0.4947, Acc.chest of drawers: 0.5843, Acc.counter: 0.3893, Acc.sand: 0.7486, Acc.sink: 0.8263, Acc.skyscraper: 0.6573, Acc.fireplace: 0.9119, Acc.refrigerator: 0.7993, Acc.grandstand: 0.7752, Acc.path: 0.3399, Acc.stairs: 0.3221, Acc.runway: 0.8582, Acc.case: 0.7562, Acc.pool table: 0.9673, Acc.pillow: 0.6368, Acc.screen door: 0.7041, Acc.stairway: 0.3938, Acc.river: 0.2117, Acc.bridge: 0.7832, Acc.bookcase: 0.6538, Acc.blind: 0.4693, Acc.coffee table: 0.7821, Acc.toilet: 0.9100, Acc.flower: 0.5681, Acc.book: 0.6582, Acc.hill: 0.2128, Acc.bench: 0.4988, Acc.countertop: 0.8113, Acc.stove: 0.8441, Acc.palm: 0.7311, Acc.kitchen island: 0.7915, Acc.computer: 0.8460, Acc.swivel chair: 0.5874, Acc.boat: 0.5314, Acc.bar: 0.3412, Acc.arcade machine: 0.2741, Acc.hovel: 0.6557, Acc.bus: 0.9616, Acc.towel: 0.8084, Acc.light: 0.6701, Acc.truck: 0.3535, Acc.tower: 0.1711, Acc.chandelier: 0.8150, Acc.awning: 0.3259, Acc.streetlight: 0.3490, Acc.booth: 0.5883, Acc.television receiver: 0.8115, Acc.airplane: 0.6636, Acc.dirt track: 0.0291, Acc.apparel: 0.5043, Acc.pole: 0.3484, Acc.land: 0.0181, Acc.bannister: 0.2120, Acc.escalator: 0.5749, Acc.ottoman: 0.6611, Acc.bottle: 0.5595, Acc.buffet: 0.4209, Acc.poster: 0.4158, Acc.stage: 0.2685, Acc.van: 0.5937, Acc.ship: 0.2902, Acc.fountain: 0.2891, Acc.conveyer belt: 0.8746, Acc.canopy: 0.4622, Acc.washer: 0.7706, Acc.plaything: 0.3697, Acc.swimming pool: 0.5396, Acc.stool: 0.6482, Acc.barrel: 0.7299, Acc.basket: 0.5274, Acc.waterfall: 0.5610, Acc.tent: 0.9853, Acc.bag: 0.2199, Acc.minibike: 0.8499, Acc.cradle: 0.9718, Acc.oven: 0.6272, Acc.ball: 0.6572, Acc.food: 0.6085, Acc.step: 0.0704, Acc.tank: 0.4864, Acc.trade name: 0.2671, Acc.microwave: 0.9152, Acc.pot: 0.5233, Acc.animal: 0.5938, Acc.bicycle: 0.7839, Acc.lake: 0.6371, Acc.dishwasher: 0.7594, Acc.screen: 0.7385, Acc.blanket: 0.1914, Acc.sculpture: 0.8627, Acc.hood: 0.6843, Acc.sconce: 0.6402, Acc.vase: 0.5821, Acc.traffic light: 0.5446, Acc.tray: 0.1580, Acc.ashcan: 0.5778, Acc.fan: 0.7997, Acc.pier: 0.5093, Acc.crt screen: 0.1890, Acc.plate: 0.7455, Acc.monitor: 0.7648, Acc.bulletin board: 0.4565, Acc.shower: 0.0705, Acc.radiator: 0.6987, Acc.glass: 0.1456, Acc.clock: 0.3876, Acc.flag: 0.6277 +2022-02-28 07:24:05,467 - mmseg - INFO - Iter [144050/160000] lr: 1.994e-06, eta: 1:06:21, time: 0.656, data_time: 0.417, memory: 56778, decode.loss_ce: 0.1267, decode.acc_seg: 76.5500, aux.loss_ce: 0.0596, aux.acc_seg: 75.9444, loss: 0.1863 +2022-02-28 07:24:17,840 - mmseg - INFO - Iter [144100/160000] lr: 1.988e-06, eta: 1:06:09, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1256, decode.acc_seg: 76.5726, aux.loss_ce: 0.0593, aux.acc_seg: 75.9473, loss: 0.1849 +2022-02-28 07:24:30,126 - mmseg - INFO - Iter [144150/160000] lr: 1.981e-06, eta: 1:05:56, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1253, decode.acc_seg: 75.9771, aux.loss_ce: 0.0592, aux.acc_seg: 75.3082, loss: 0.1845 +2022-02-28 07:24:42,393 - mmseg - INFO - Iter [144200/160000] lr: 1.975e-06, eta: 1:05:44, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1484, decode.acc_seg: 76.9683, aux.loss_ce: 0.0682, aux.acc_seg: 76.3107, loss: 0.2166 +2022-02-28 07:24:54,655 - mmseg - INFO - Iter [144250/160000] lr: 1.969e-06, eta: 1:05:31, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1358, decode.acc_seg: 75.8368, aux.loss_ce: 0.0632, aux.acc_seg: 75.1875, loss: 0.1990 +2022-02-28 07:25:07,151 - mmseg - INFO - Iter [144300/160000] lr: 1.963e-06, eta: 1:05:19, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1418, decode.acc_seg: 75.0620, aux.loss_ce: 0.0661, aux.acc_seg: 74.4721, loss: 0.2079 +2022-02-28 07:25:19,484 - mmseg - INFO - Iter [144350/160000] lr: 1.956e-06, eta: 1:05:06, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1349, decode.acc_seg: 76.1152, aux.loss_ce: 0.0627, aux.acc_seg: 75.4700, loss: 0.1976 +2022-02-28 07:25:31,730 - mmseg - INFO - Iter [144400/160000] lr: 1.950e-06, eta: 1:04:54, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1317, decode.acc_seg: 75.3233, aux.loss_ce: 0.0610, aux.acc_seg: 74.7232, loss: 0.1927 +2022-02-28 07:25:43,914 - mmseg - INFO - Iter [144450/160000] lr: 1.944e-06, eta: 1:04:41, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1290, decode.acc_seg: 75.5449, aux.loss_ce: 0.0606, aux.acc_seg: 74.8678, loss: 0.1895 +2022-02-28 07:25:56,071 - mmseg - INFO - Iter [144500/160000] lr: 1.938e-06, eta: 1:04:29, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1326, decode.acc_seg: 76.5745, aux.loss_ce: 0.0614, aux.acc_seg: 75.8864, loss: 0.1940 +2022-02-28 07:26:08,414 - mmseg - INFO - Iter [144550/160000] lr: 1.931e-06, eta: 1:04:16, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1253, decode.acc_seg: 76.2535, aux.loss_ce: 0.0596, aux.acc_seg: 75.5871, loss: 0.1848 +2022-02-28 07:26:20,672 - mmseg - INFO - Iter [144600/160000] lr: 1.925e-06, eta: 1:04:04, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1369, decode.acc_seg: 76.1440, aux.loss_ce: 0.0636, aux.acc_seg: 75.5388, loss: 0.2005 +2022-02-28 07:26:32,870 - mmseg - INFO - Iter [144650/160000] lr: 1.919e-06, eta: 1:03:51, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1423, decode.acc_seg: 75.8059, aux.loss_ce: 0.0657, aux.acc_seg: 75.1528, loss: 0.2079 +2022-02-28 07:26:45,084 - mmseg - INFO - Iter [144700/160000] lr: 1.913e-06, eta: 1:03:39, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1288, decode.acc_seg: 75.6820, aux.loss_ce: 0.0602, aux.acc_seg: 75.0526, loss: 0.1890 +2022-02-28 07:26:57,330 - mmseg - INFO - Iter [144750/160000] lr: 1.906e-06, eta: 1:03:26, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1384, decode.acc_seg: 76.5922, aux.loss_ce: 0.0643, aux.acc_seg: 75.8782, loss: 0.2028 +2022-02-28 07:27:09,668 - mmseg - INFO - Iter [144800/160000] lr: 1.900e-06, eta: 1:03:14, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1331, decode.acc_seg: 76.5147, aux.loss_ce: 0.0626, aux.acc_seg: 75.8087, loss: 0.1957 +2022-02-28 07:27:21,960 - mmseg - INFO - Iter [144850/160000] lr: 1.894e-06, eta: 1:03:01, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1350, decode.acc_seg: 76.6045, aux.loss_ce: 0.0640, aux.acc_seg: 75.8961, loss: 0.1990 +2022-02-28 07:27:34,507 - mmseg - INFO - Iter [144900/160000] lr: 1.888e-06, eta: 1:02:49, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1362, decode.acc_seg: 77.5535, aux.loss_ce: 0.0638, aux.acc_seg: 76.8964, loss: 0.2000 +2022-02-28 07:27:46,849 - mmseg - INFO - Iter [144950/160000] lr: 1.881e-06, eta: 1:02:36, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1359, decode.acc_seg: 75.4259, aux.loss_ce: 0.0646, aux.acc_seg: 74.7167, loss: 0.2005 +2022-02-28 07:27:59,111 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 07:27:59,111 - mmseg - INFO - Iter [145000/160000] lr: 1.875e-06, eta: 1:02:24, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1300, decode.acc_seg: 77.7111, aux.loss_ce: 0.0611, aux.acc_seg: 77.0216, loss: 0.1911 +2022-02-28 07:28:11,254 - mmseg - INFO - Iter [145050/160000] lr: 1.869e-06, eta: 1:02:11, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1352, decode.acc_seg: 76.5363, aux.loss_ce: 0.0629, aux.acc_seg: 75.9026, loss: 0.1981 +2022-02-28 07:28:23,605 - mmseg - INFO - Iter [145100/160000] lr: 1.863e-06, eta: 1:01:59, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1381, decode.acc_seg: 77.5711, aux.loss_ce: 0.0648, aux.acc_seg: 76.9072, loss: 0.2029 +2022-02-28 07:28:36,140 - mmseg - INFO - Iter [145150/160000] lr: 1.856e-06, eta: 1:01:46, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1349, decode.acc_seg: 75.8177, aux.loss_ce: 0.0636, aux.acc_seg: 75.1450, loss: 0.1985 +2022-02-28 07:28:48,465 - mmseg - INFO - Iter [145200/160000] lr: 1.850e-06, eta: 1:01:34, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1330, decode.acc_seg: 75.5731, aux.loss_ce: 0.0626, aux.acc_seg: 74.9174, loss: 0.1956 +2022-02-28 07:29:03,005 - mmseg - INFO - Iter [145250/160000] lr: 1.844e-06, eta: 1:01:22, time: 0.291, data_time: 0.048, memory: 56778, decode.loss_ce: 0.1300, decode.acc_seg: 75.7783, aux.loss_ce: 0.0610, aux.acc_seg: 75.1071, loss: 0.1910 +2022-02-28 07:29:15,260 - mmseg - INFO - Iter [145300/160000] lr: 1.838e-06, eta: 1:01:09, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1265, decode.acc_seg: 75.5531, aux.loss_ce: 0.0591, aux.acc_seg: 74.9518, loss: 0.1856 +2022-02-28 07:29:27,575 - mmseg - INFO - Iter [145350/160000] lr: 1.831e-06, eta: 1:00:57, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1328, decode.acc_seg: 76.6253, aux.loss_ce: 0.0621, aux.acc_seg: 75.9828, loss: 0.1949 +2022-02-28 07:29:39,852 - mmseg - INFO - Iter [145400/160000] lr: 1.825e-06, eta: 1:00:44, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1283, decode.acc_seg: 75.1672, aux.loss_ce: 0.0607, aux.acc_seg: 74.5323, loss: 0.1890 +2022-02-28 07:29:52,231 - mmseg - INFO - Iter [145450/160000] lr: 1.819e-06, eta: 1:00:32, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1278, decode.acc_seg: 76.9911, aux.loss_ce: 0.0605, aux.acc_seg: 76.2672, loss: 0.1884 +2022-02-28 07:30:04,867 - mmseg - INFO - Iter [145500/160000] lr: 1.813e-06, eta: 1:00:19, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1325, decode.acc_seg: 77.2140, aux.loss_ce: 0.0618, aux.acc_seg: 76.5424, loss: 0.1943 +2022-02-28 07:30:17,239 - mmseg - INFO - Iter [145550/160000] lr: 1.806e-06, eta: 1:00:07, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1295, decode.acc_seg: 76.1267, aux.loss_ce: 0.0601, aux.acc_seg: 75.5135, loss: 0.1896 +2022-02-28 07:30:29,579 - mmseg - INFO - Iter [145600/160000] lr: 1.800e-06, eta: 0:59:54, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1295, decode.acc_seg: 75.6032, aux.loss_ce: 0.0603, aux.acc_seg: 74.9411, loss: 0.1898 +2022-02-28 07:30:41,983 - mmseg - INFO - Iter [145650/160000] lr: 1.794e-06, eta: 0:59:42, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1324, decode.acc_seg: 75.7339, aux.loss_ce: 0.0629, aux.acc_seg: 74.9805, loss: 0.1953 +2022-02-28 07:30:54,301 - mmseg - INFO - Iter [145700/160000] lr: 1.788e-06, eta: 0:59:29, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1380, decode.acc_seg: 76.2744, aux.loss_ce: 0.0649, aux.acc_seg: 75.6038, loss: 0.2028 +2022-02-28 07:31:06,839 - mmseg - INFO - Iter [145750/160000] lr: 1.781e-06, eta: 0:59:17, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1340, decode.acc_seg: 75.5611, aux.loss_ce: 0.0624, aux.acc_seg: 74.9270, loss: 0.1964 +2022-02-28 07:31:19,019 - mmseg - INFO - Iter [145800/160000] lr: 1.775e-06, eta: 0:59:04, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1378, decode.acc_seg: 77.0972, aux.loss_ce: 0.0638, aux.acc_seg: 76.4776, loss: 0.2016 +2022-02-28 07:31:31,292 - mmseg - INFO - Iter [145850/160000] lr: 1.769e-06, eta: 0:58:52, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1399, decode.acc_seg: 76.4921, aux.loss_ce: 0.0660, aux.acc_seg: 75.8428, loss: 0.2059 +2022-02-28 07:31:43,614 - mmseg - INFO - Iter [145900/160000] lr: 1.763e-06, eta: 0:58:39, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1407, decode.acc_seg: 75.9713, aux.loss_ce: 0.0666, aux.acc_seg: 75.2612, loss: 0.2073 +2022-02-28 07:31:55,960 - mmseg - INFO - Iter [145950/160000] lr: 1.756e-06, eta: 0:58:27, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1299, decode.acc_seg: 75.3940, aux.loss_ce: 0.0608, aux.acc_seg: 74.7938, loss: 0.1907 +2022-02-28 07:32:08,170 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 07:32:08,170 - mmseg - INFO - Iter [146000/160000] lr: 1.750e-06, eta: 0:58:14, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1391, decode.acc_seg: 75.3428, aux.loss_ce: 0.0646, aux.acc_seg: 74.6954, loss: 0.2037 +2022-02-28 07:32:20,416 - mmseg - INFO - Iter [146050/160000] lr: 1.744e-06, eta: 0:58:02, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1260, decode.acc_seg: 75.9721, aux.loss_ce: 0.0593, aux.acc_seg: 75.3178, loss: 0.1853 +2022-02-28 07:32:32,885 - mmseg - INFO - Iter [146100/160000] lr: 1.738e-06, eta: 0:57:49, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1307, decode.acc_seg: 75.2703, aux.loss_ce: 0.0613, aux.acc_seg: 74.6011, loss: 0.1920 +2022-02-28 07:32:45,195 - mmseg - INFO - Iter [146150/160000] lr: 1.731e-06, eta: 0:57:37, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1337, decode.acc_seg: 75.9426, aux.loss_ce: 0.0623, aux.acc_seg: 75.3383, loss: 0.1960 +2022-02-28 07:32:57,421 - mmseg - INFO - Iter [146200/160000] lr: 1.725e-06, eta: 0:57:24, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1322, decode.acc_seg: 74.7514, aux.loss_ce: 0.0618, aux.acc_seg: 74.1022, loss: 0.1940 +2022-02-28 07:33:09,656 - mmseg - INFO - Iter [146250/160000] lr: 1.719e-06, eta: 0:57:12, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1307, decode.acc_seg: 74.8256, aux.loss_ce: 0.0612, aux.acc_seg: 74.1920, loss: 0.1919 +2022-02-28 07:33:21,869 - mmseg - INFO - Iter [146300/160000] lr: 1.713e-06, eta: 0:56:59, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1340, decode.acc_seg: 76.5929, aux.loss_ce: 0.0632, aux.acc_seg: 75.9205, loss: 0.1972 +2022-02-28 07:33:34,068 - mmseg - INFO - Iter [146350/160000] lr: 1.706e-06, eta: 0:56:47, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1264, decode.acc_seg: 75.3465, aux.loss_ce: 0.0598, aux.acc_seg: 74.6764, loss: 0.1862 +2022-02-28 07:33:46,424 - mmseg - INFO - Iter [146400/160000] lr: 1.700e-06, eta: 0:56:34, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1279, decode.acc_seg: 76.9748, aux.loss_ce: 0.0603, aux.acc_seg: 76.3108, loss: 0.1882 +2022-02-28 07:33:58,786 - mmseg - INFO - Iter [146450/160000] lr: 1.694e-06, eta: 0:56:22, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1329, decode.acc_seg: 76.9502, aux.loss_ce: 0.0615, aux.acc_seg: 76.3289, loss: 0.1944 +2022-02-28 07:34:11,272 - mmseg - INFO - Iter [146500/160000] lr: 1.688e-06, eta: 0:56:09, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1521, decode.acc_seg: 76.6016, aux.loss_ce: 0.0690, aux.acc_seg: 75.9587, loss: 0.2212 +2022-02-28 07:34:25,765 - mmseg - INFO - Iter [146550/160000] lr: 1.681e-06, eta: 0:55:57, time: 0.290, data_time: 0.049, memory: 56778, decode.loss_ce: 0.1245, decode.acc_seg: 75.5667, aux.loss_ce: 0.0584, aux.acc_seg: 74.9551, loss: 0.1829 +2022-02-28 07:34:38,030 - mmseg - INFO - Iter [146600/160000] lr: 1.675e-06, eta: 0:55:44, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1297, decode.acc_seg: 77.1344, aux.loss_ce: 0.0608, aux.acc_seg: 76.4835, loss: 0.1906 +2022-02-28 07:34:50,519 - mmseg - INFO - Iter [146650/160000] lr: 1.669e-06, eta: 0:55:32, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1320, decode.acc_seg: 76.5238, aux.loss_ce: 0.0611, aux.acc_seg: 75.8903, loss: 0.1932 +2022-02-28 07:35:02,920 - mmseg - INFO - Iter [146700/160000] lr: 1.663e-06, eta: 0:55:20, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1352, decode.acc_seg: 76.2299, aux.loss_ce: 0.0628, aux.acc_seg: 75.5961, loss: 0.1980 +2022-02-28 07:35:15,173 - mmseg - INFO - Iter [146750/160000] lr: 1.656e-06, eta: 0:55:07, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1342, decode.acc_seg: 76.8504, aux.loss_ce: 0.0625, aux.acc_seg: 76.2163, loss: 0.1967 +2022-02-28 07:35:27,614 - mmseg - INFO - Iter [146800/160000] lr: 1.650e-06, eta: 0:54:55, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1299, decode.acc_seg: 76.8513, aux.loss_ce: 0.0609, aux.acc_seg: 76.1831, loss: 0.1908 +2022-02-28 07:35:39,821 - mmseg - INFO - Iter [146850/160000] lr: 1.644e-06, eta: 0:54:42, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1307, decode.acc_seg: 75.1108, aux.loss_ce: 0.0619, aux.acc_seg: 74.3898, loss: 0.1926 +2022-02-28 07:35:52,125 - mmseg - INFO - Iter [146900/160000] lr: 1.638e-06, eta: 0:54:30, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1358, decode.acc_seg: 76.3977, aux.loss_ce: 0.0637, aux.acc_seg: 75.6761, loss: 0.1996 +2022-02-28 07:36:04,367 - mmseg - INFO - Iter [146950/160000] lr: 1.631e-06, eta: 0:54:17, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1333, decode.acc_seg: 76.5891, aux.loss_ce: 0.0627, aux.acc_seg: 75.9080, loss: 0.1960 +2022-02-28 07:36:16,738 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 07:36:16,738 - mmseg - INFO - Iter [147000/160000] lr: 1.625e-06, eta: 0:54:05, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1307, decode.acc_seg: 76.3788, aux.loss_ce: 0.0612, aux.acc_seg: 75.7282, loss: 0.1920 +2022-02-28 07:36:29,050 - mmseg - INFO - Iter [147050/160000] lr: 1.619e-06, eta: 0:53:52, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1302, decode.acc_seg: 75.0708, aux.loss_ce: 0.0608, aux.acc_seg: 74.4407, loss: 0.1910 +2022-02-28 07:36:41,407 - mmseg - INFO - Iter [147100/160000] lr: 1.613e-06, eta: 0:53:40, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1360, decode.acc_seg: 76.6664, aux.loss_ce: 0.0627, aux.acc_seg: 76.0743, loss: 0.1986 +2022-02-28 07:36:53,881 - mmseg - INFO - Iter [147150/160000] lr: 1.606e-06, eta: 0:53:27, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1267, decode.acc_seg: 77.0530, aux.loss_ce: 0.0600, aux.acc_seg: 76.3581, loss: 0.1867 +2022-02-28 07:37:06,255 - mmseg - INFO - Iter [147200/160000] lr: 1.600e-06, eta: 0:53:15, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1297, decode.acc_seg: 76.4950, aux.loss_ce: 0.0613, aux.acc_seg: 75.8541, loss: 0.1910 +2022-02-28 07:37:18,544 - mmseg - INFO - Iter [147250/160000] lr: 1.594e-06, eta: 0:53:02, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1284, decode.acc_seg: 75.1869, aux.loss_ce: 0.0610, aux.acc_seg: 74.4687, loss: 0.1894 +2022-02-28 07:37:30,840 - mmseg - INFO - Iter [147300/160000] lr: 1.588e-06, eta: 0:52:50, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1370, decode.acc_seg: 76.5297, aux.loss_ce: 0.0653, aux.acc_seg: 75.7993, loss: 0.2023 +2022-02-28 07:37:43,044 - mmseg - INFO - Iter [147350/160000] lr: 1.581e-06, eta: 0:52:37, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1362, decode.acc_seg: 76.4071, aux.loss_ce: 0.0635, aux.acc_seg: 75.7275, loss: 0.1997 +2022-02-28 07:37:55,364 - mmseg - INFO - Iter [147400/160000] lr: 1.575e-06, eta: 0:52:25, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1217, decode.acc_seg: 74.4423, aux.loss_ce: 0.0569, aux.acc_seg: 73.8292, loss: 0.1786 +2022-02-28 07:38:07,599 - mmseg - INFO - Iter [147450/160000] lr: 1.569e-06, eta: 0:52:12, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1382, decode.acc_seg: 76.7696, aux.loss_ce: 0.0651, aux.acc_seg: 76.0957, loss: 0.2033 +2022-02-28 07:38:19,839 - mmseg - INFO - Iter [147500/160000] lr: 1.563e-06, eta: 0:52:00, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1295, decode.acc_seg: 74.9313, aux.loss_ce: 0.0608, aux.acc_seg: 74.2422, loss: 0.1903 +2022-02-28 07:38:32,114 - mmseg - INFO - Iter [147550/160000] lr: 1.556e-06, eta: 0:51:47, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1244, decode.acc_seg: 77.0031, aux.loss_ce: 0.0588, aux.acc_seg: 76.3288, loss: 0.1832 +2022-02-28 07:38:44,281 - mmseg - INFO - Iter [147600/160000] lr: 1.550e-06, eta: 0:51:35, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1396, decode.acc_seg: 75.9657, aux.loss_ce: 0.0661, aux.acc_seg: 75.2291, loss: 0.2057 +2022-02-28 07:38:56,469 - mmseg - INFO - Iter [147650/160000] lr: 1.544e-06, eta: 0:51:22, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1381, decode.acc_seg: 76.1919, aux.loss_ce: 0.0648, aux.acc_seg: 75.4702, loss: 0.2029 +2022-02-28 07:39:08,817 - mmseg - INFO - Iter [147700/160000] lr: 1.538e-06, eta: 0:51:10, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1393, decode.acc_seg: 75.7623, aux.loss_ce: 0.0654, aux.acc_seg: 75.1127, loss: 0.2046 +2022-02-28 07:39:20,960 - mmseg - INFO - Iter [147750/160000] lr: 1.531e-06, eta: 0:50:57, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1389, decode.acc_seg: 76.3230, aux.loss_ce: 0.0650, aux.acc_seg: 75.6537, loss: 0.2040 +2022-02-28 07:39:35,619 - mmseg - INFO - Iter [147800/160000] lr: 1.525e-06, eta: 0:50:45, time: 0.293, data_time: 0.049, memory: 56778, decode.loss_ce: 0.1320, decode.acc_seg: 75.0161, aux.loss_ce: 0.0618, aux.acc_seg: 74.3466, loss: 0.1937 +2022-02-28 07:39:47,918 - mmseg - INFO - Iter [147850/160000] lr: 1.519e-06, eta: 0:50:32, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1274, decode.acc_seg: 77.4406, aux.loss_ce: 0.0603, aux.acc_seg: 76.7983, loss: 0.1877 +2022-02-28 07:40:00,099 - mmseg - INFO - Iter [147900/160000] lr: 1.513e-06, eta: 0:50:20, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1334, decode.acc_seg: 76.4775, aux.loss_ce: 0.0634, aux.acc_seg: 75.7029, loss: 0.1969 +2022-02-28 07:40:12,424 - mmseg - INFO - Iter [147950/160000] lr: 1.506e-06, eta: 0:50:07, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1290, decode.acc_seg: 75.8108, aux.loss_ce: 0.0603, aux.acc_seg: 75.1672, loss: 0.1893 +2022-02-28 07:40:24,689 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 07:40:24,689 - mmseg - INFO - Iter [148000/160000] lr: 1.500e-06, eta: 0:49:55, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1359, decode.acc_seg: 75.0561, aux.loss_ce: 0.0632, aux.acc_seg: 74.4958, loss: 0.1991 +2022-02-28 07:40:36,894 - mmseg - INFO - Iter [148050/160000] lr: 1.494e-06, eta: 0:49:42, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1199, decode.acc_seg: 75.7414, aux.loss_ce: 0.0566, aux.acc_seg: 75.1199, loss: 0.1764 +2022-02-28 07:40:49,132 - mmseg - INFO - Iter [148100/160000] lr: 1.488e-06, eta: 0:49:30, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1300, decode.acc_seg: 76.3865, aux.loss_ce: 0.0614, aux.acc_seg: 75.7413, loss: 0.1914 +2022-02-28 07:41:01,363 - mmseg - INFO - Iter [148150/160000] lr: 1.481e-06, eta: 0:49:17, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1284, decode.acc_seg: 75.9925, aux.loss_ce: 0.0606, aux.acc_seg: 75.3549, loss: 0.1889 +2022-02-28 07:41:13,585 - mmseg - INFO - Iter [148200/160000] lr: 1.475e-06, eta: 0:49:05, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1386, decode.acc_seg: 76.3085, aux.loss_ce: 0.0651, aux.acc_seg: 75.7074, loss: 0.2036 +2022-02-28 07:41:25,814 - mmseg - INFO - Iter [148250/160000] lr: 1.469e-06, eta: 0:48:52, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1391, decode.acc_seg: 75.6505, aux.loss_ce: 0.0658, aux.acc_seg: 74.8586, loss: 0.2049 +2022-02-28 07:41:38,044 - mmseg - INFO - Iter [148300/160000] lr: 1.463e-06, eta: 0:48:40, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1243, decode.acc_seg: 76.8644, aux.loss_ce: 0.0588, aux.acc_seg: 76.1410, loss: 0.1832 +2022-02-28 07:41:50,350 - mmseg - INFO - Iter [148350/160000] lr: 1.456e-06, eta: 0:48:27, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1246, decode.acc_seg: 75.5282, aux.loss_ce: 0.0586, aux.acc_seg: 74.8771, loss: 0.1832 +2022-02-28 07:42:02,762 - mmseg - INFO - Iter [148400/160000] lr: 1.450e-06, eta: 0:48:15, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1376, decode.acc_seg: 75.8163, aux.loss_ce: 0.0644, aux.acc_seg: 75.1692, loss: 0.2020 +2022-02-28 07:42:15,137 - mmseg - INFO - Iter [148450/160000] lr: 1.444e-06, eta: 0:48:02, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1384, decode.acc_seg: 75.7809, aux.loss_ce: 0.0660, aux.acc_seg: 74.9809, loss: 0.2044 +2022-02-28 07:42:27,335 - mmseg - INFO - Iter [148500/160000] lr: 1.438e-06, eta: 0:47:50, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1263, decode.acc_seg: 77.0823, aux.loss_ce: 0.0593, aux.acc_seg: 76.4452, loss: 0.1856 +2022-02-28 07:42:39,795 - mmseg - INFO - Iter [148550/160000] lr: 1.431e-06, eta: 0:47:37, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1192, decode.acc_seg: 77.0626, aux.loss_ce: 0.0557, aux.acc_seg: 76.4323, loss: 0.1749 +2022-02-28 07:42:52,306 - mmseg - INFO - Iter [148600/160000] lr: 1.425e-06, eta: 0:47:25, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1255, decode.acc_seg: 75.6874, aux.loss_ce: 0.0587, aux.acc_seg: 75.1558, loss: 0.1842 +2022-02-28 07:43:04,930 - mmseg - INFO - Iter [148650/160000] lr: 1.419e-06, eta: 0:47:12, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1333, decode.acc_seg: 76.8476, aux.loss_ce: 0.0623, aux.acc_seg: 76.2104, loss: 0.1956 +2022-02-28 07:43:17,240 - mmseg - INFO - Iter [148700/160000] lr: 1.413e-06, eta: 0:47:00, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1333, decode.acc_seg: 75.0543, aux.loss_ce: 0.0631, aux.acc_seg: 74.2830, loss: 0.1964 +2022-02-28 07:43:29,635 - mmseg - INFO - Iter [148750/160000] lr: 1.406e-06, eta: 0:46:47, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1289, decode.acc_seg: 75.2314, aux.loss_ce: 0.0614, aux.acc_seg: 74.5073, loss: 0.1903 +2022-02-28 07:43:41,959 - mmseg - INFO - Iter [148800/160000] lr: 1.400e-06, eta: 0:46:35, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1355, decode.acc_seg: 77.2587, aux.loss_ce: 0.0639, aux.acc_seg: 76.5523, loss: 0.1994 +2022-02-28 07:43:54,312 - mmseg - INFO - Iter [148850/160000] lr: 1.394e-06, eta: 0:46:22, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1311, decode.acc_seg: 76.4265, aux.loss_ce: 0.0615, aux.acc_seg: 75.8179, loss: 0.1926 +2022-02-28 07:44:06,727 - mmseg - INFO - Iter [148900/160000] lr: 1.388e-06, eta: 0:46:10, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1246, decode.acc_seg: 75.7039, aux.loss_ce: 0.0600, aux.acc_seg: 74.9648, loss: 0.1846 +2022-02-28 07:44:19,356 - mmseg - INFO - Iter [148950/160000] lr: 1.381e-06, eta: 0:45:57, time: 0.253, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1273, decode.acc_seg: 74.7911, aux.loss_ce: 0.0596, aux.acc_seg: 74.0936, loss: 0.1869 +2022-02-28 07:44:31,607 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 07:44:31,607 - mmseg - INFO - Iter [149000/160000] lr: 1.375e-06, eta: 0:45:45, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1309, decode.acc_seg: 76.7819, aux.loss_ce: 0.0619, aux.acc_seg: 76.1066, loss: 0.1928 +2022-02-28 07:44:46,171 - mmseg - INFO - Iter [149050/160000] lr: 1.369e-06, eta: 0:45:33, time: 0.291, data_time: 0.047, memory: 56778, decode.loss_ce: 0.1304, decode.acc_seg: 76.1908, aux.loss_ce: 0.0622, aux.acc_seg: 75.5118, loss: 0.1925 +2022-02-28 07:44:58,527 - mmseg - INFO - Iter [149100/160000] lr: 1.363e-06, eta: 0:45:20, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1279, decode.acc_seg: 77.4830, aux.loss_ce: 0.0607, aux.acc_seg: 76.7732, loss: 0.1886 +2022-02-28 07:45:10,916 - mmseg - INFO - Iter [149150/160000] lr: 1.356e-06, eta: 0:45:08, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1241, decode.acc_seg: 76.8100, aux.loss_ce: 0.0585, aux.acc_seg: 76.1234, loss: 0.1826 +2022-02-28 07:45:23,137 - mmseg - INFO - Iter [149200/160000] lr: 1.350e-06, eta: 0:44:55, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1317, decode.acc_seg: 77.1043, aux.loss_ce: 0.0622, aux.acc_seg: 76.3925, loss: 0.1939 +2022-02-28 07:45:35,357 - mmseg - INFO - Iter [149250/160000] lr: 1.344e-06, eta: 0:44:43, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1247, decode.acc_seg: 75.0009, aux.loss_ce: 0.0588, aux.acc_seg: 74.3391, loss: 0.1835 +2022-02-28 07:45:47,571 - mmseg - INFO - Iter [149300/160000] lr: 1.338e-06, eta: 0:44:30, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1382, decode.acc_seg: 77.2734, aux.loss_ce: 0.0652, aux.acc_seg: 76.5701, loss: 0.2034 +2022-02-28 07:45:59,884 - mmseg - INFO - Iter [149350/160000] lr: 1.331e-06, eta: 0:44:18, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1342, decode.acc_seg: 75.2865, aux.loss_ce: 0.0626, aux.acc_seg: 74.6062, loss: 0.1968 +2022-02-28 07:46:12,106 - mmseg - INFO - Iter [149400/160000] lr: 1.325e-06, eta: 0:44:05, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1317, decode.acc_seg: 75.8425, aux.loss_ce: 0.0619, aux.acc_seg: 75.1809, loss: 0.1936 +2022-02-28 07:46:24,367 - mmseg - INFO - Iter [149450/160000] lr: 1.319e-06, eta: 0:43:53, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1367, decode.acc_seg: 75.7177, aux.loss_ce: 0.0641, aux.acc_seg: 75.1066, loss: 0.2008 +2022-02-28 07:46:36,694 - mmseg - INFO - Iter [149500/160000] lr: 1.313e-06, eta: 0:43:40, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1329, decode.acc_seg: 76.2498, aux.loss_ce: 0.0624, aux.acc_seg: 75.5633, loss: 0.1953 +2022-02-28 07:46:48,832 - mmseg - INFO - Iter [149550/160000] lr: 1.306e-06, eta: 0:43:28, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1202, decode.acc_seg: 76.2624, aux.loss_ce: 0.0570, aux.acc_seg: 75.5919, loss: 0.1772 +2022-02-28 07:47:01,232 - mmseg - INFO - Iter [149600/160000] lr: 1.300e-06, eta: 0:43:15, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1260, decode.acc_seg: 76.3772, aux.loss_ce: 0.0589, aux.acc_seg: 75.8036, loss: 0.1849 +2022-02-28 07:47:13,441 - mmseg - INFO - Iter [149650/160000] lr: 1.294e-06, eta: 0:43:03, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1256, decode.acc_seg: 76.9993, aux.loss_ce: 0.0594, aux.acc_seg: 76.3778, loss: 0.1850 +2022-02-28 07:47:25,809 - mmseg - INFO - Iter [149700/160000] lr: 1.288e-06, eta: 0:42:50, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1312, decode.acc_seg: 77.5022, aux.loss_ce: 0.0623, aux.acc_seg: 76.7702, loss: 0.1935 +2022-02-28 07:47:38,063 - mmseg - INFO - Iter [149750/160000] lr: 1.281e-06, eta: 0:42:38, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1207, decode.acc_seg: 75.8153, aux.loss_ce: 0.0568, aux.acc_seg: 75.1931, loss: 0.1774 +2022-02-28 07:47:50,356 - mmseg - INFO - Iter [149800/160000] lr: 1.275e-06, eta: 0:42:25, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1206, decode.acc_seg: 75.5366, aux.loss_ce: 0.0560, aux.acc_seg: 74.9486, loss: 0.1767 +2022-02-28 07:48:02,665 - mmseg - INFO - Iter [149850/160000] lr: 1.269e-06, eta: 0:42:13, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1393, decode.acc_seg: 76.1674, aux.loss_ce: 0.0658, aux.acc_seg: 75.3870, loss: 0.2052 +2022-02-28 07:48:15,247 - mmseg - INFO - Iter [149900/160000] lr: 1.263e-06, eta: 0:42:00, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1327, decode.acc_seg: 75.6052, aux.loss_ce: 0.0621, aux.acc_seg: 74.9622, loss: 0.1949 +2022-02-28 07:48:27,383 - mmseg - INFO - Iter [149950/160000] lr: 1.256e-06, eta: 0:41:48, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1262, decode.acc_seg: 75.4548, aux.loss_ce: 0.0595, aux.acc_seg: 74.7671, loss: 0.1857 +2022-02-28 07:48:39,895 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 07:48:39,895 - mmseg - INFO - Iter [150000/160000] lr: 1.250e-06, eta: 0:41:35, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1313, decode.acc_seg: 76.1258, aux.loss_ce: 0.0622, aux.acc_seg: 75.4266, loss: 0.1934 +2022-02-28 07:48:52,156 - mmseg - INFO - Iter [150050/160000] lr: 1.244e-06, eta: 0:41:23, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1344, decode.acc_seg: 77.7640, aux.loss_ce: 0.0632, aux.acc_seg: 77.1087, loss: 0.1976 +2022-02-28 07:49:04,485 - mmseg - INFO - Iter [150100/160000] lr: 1.238e-06, eta: 0:41:10, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1322, decode.acc_seg: 75.7238, aux.loss_ce: 0.0618, aux.acc_seg: 75.0467, loss: 0.1939 +2022-02-28 07:49:16,775 - mmseg - INFO - Iter [150150/160000] lr: 1.231e-06, eta: 0:40:58, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1326, decode.acc_seg: 76.1385, aux.loss_ce: 0.0617, aux.acc_seg: 75.5402, loss: 0.1943 +2022-02-28 07:49:28,971 - mmseg - INFO - Iter [150200/160000] lr: 1.225e-06, eta: 0:40:45, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1240, decode.acc_seg: 76.1335, aux.loss_ce: 0.0583, aux.acc_seg: 75.4610, loss: 0.1823 +2022-02-28 07:49:41,282 - mmseg - INFO - Iter [150250/160000] lr: 1.219e-06, eta: 0:40:33, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1257, decode.acc_seg: 76.4197, aux.loss_ce: 0.0603, aux.acc_seg: 75.7001, loss: 0.1860 +2022-02-28 07:49:55,833 - mmseg - INFO - Iter [150300/160000] lr: 1.213e-06, eta: 0:40:20, time: 0.291, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1331, decode.acc_seg: 77.1355, aux.loss_ce: 0.0629, aux.acc_seg: 76.4732, loss: 0.1960 +2022-02-28 07:50:08,154 - mmseg - INFO - Iter [150350/160000] lr: 1.206e-06, eta: 0:40:08, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1323, decode.acc_seg: 76.6460, aux.loss_ce: 0.0625, aux.acc_seg: 75.9362, loss: 0.1949 +2022-02-28 07:50:20,414 - mmseg - INFO - Iter [150400/160000] lr: 1.200e-06, eta: 0:39:56, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1268, decode.acc_seg: 74.9938, aux.loss_ce: 0.0596, aux.acc_seg: 74.3245, loss: 0.1863 +2022-02-28 07:50:32,879 - mmseg - INFO - Iter [150450/160000] lr: 1.194e-06, eta: 0:39:43, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1314, decode.acc_seg: 75.4244, aux.loss_ce: 0.0611, aux.acc_seg: 74.7784, loss: 0.1925 +2022-02-28 07:50:45,335 - mmseg - INFO - Iter [150500/160000] lr: 1.188e-06, eta: 0:39:31, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1285, decode.acc_seg: 76.7628, aux.loss_ce: 0.0597, aux.acc_seg: 76.1617, loss: 0.1882 +2022-02-28 07:50:57,755 - mmseg - INFO - Iter [150550/160000] lr: 1.181e-06, eta: 0:39:18, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1313, decode.acc_seg: 76.7435, aux.loss_ce: 0.0620, aux.acc_seg: 76.0762, loss: 0.1933 +2022-02-28 07:51:09,999 - mmseg - INFO - Iter [150600/160000] lr: 1.175e-06, eta: 0:39:06, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1318, decode.acc_seg: 75.5358, aux.loss_ce: 0.0617, aux.acc_seg: 74.9192, loss: 0.1935 +2022-02-28 07:51:22,316 - mmseg - INFO - Iter [150650/160000] lr: 1.169e-06, eta: 0:38:53, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1236, decode.acc_seg: 75.7017, aux.loss_ce: 0.0584, aux.acc_seg: 75.0670, loss: 0.1820 +2022-02-28 07:51:34,595 - mmseg - INFO - Iter [150700/160000] lr: 1.163e-06, eta: 0:38:41, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1337, decode.acc_seg: 78.1267, aux.loss_ce: 0.0634, aux.acc_seg: 77.3574, loss: 0.1970 +2022-02-28 07:51:47,314 - mmseg - INFO - Iter [150750/160000] lr: 1.156e-06, eta: 0:38:28, time: 0.254, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1263, decode.acc_seg: 76.7084, aux.loss_ce: 0.0596, aux.acc_seg: 76.0657, loss: 0.1860 +2022-02-28 07:51:59,606 - mmseg - INFO - Iter [150800/160000] lr: 1.150e-06, eta: 0:38:16, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1327, decode.acc_seg: 76.5886, aux.loss_ce: 0.0622, aux.acc_seg: 75.8804, loss: 0.1949 +2022-02-28 07:52:12,173 - mmseg - INFO - Iter [150850/160000] lr: 1.144e-06, eta: 0:38:03, time: 0.251, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1332, decode.acc_seg: 76.1321, aux.loss_ce: 0.0634, aux.acc_seg: 75.4026, loss: 0.1967 +2022-02-28 07:52:24,604 - mmseg - INFO - Iter [150900/160000] lr: 1.138e-06, eta: 0:37:51, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1326, decode.acc_seg: 76.2813, aux.loss_ce: 0.0620, aux.acc_seg: 75.6214, loss: 0.1945 +2022-02-28 07:52:36,791 - mmseg - INFO - Iter [150950/160000] lr: 1.131e-06, eta: 0:37:38, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1243, decode.acc_seg: 75.8713, aux.loss_ce: 0.0587, aux.acc_seg: 75.1922, loss: 0.1830 +2022-02-28 07:52:49,032 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 07:52:49,033 - mmseg - INFO - Iter [151000/160000] lr: 1.125e-06, eta: 0:37:26, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1289, decode.acc_seg: 77.5141, aux.loss_ce: 0.0604, aux.acc_seg: 76.8806, loss: 0.1893 +2022-02-28 07:53:01,497 - mmseg - INFO - Iter [151050/160000] lr: 1.119e-06, eta: 0:37:13, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1303, decode.acc_seg: 75.9491, aux.loss_ce: 0.0618, aux.acc_seg: 75.3029, loss: 0.1921 +2022-02-28 07:53:13,692 - mmseg - INFO - Iter [151100/160000] lr: 1.113e-06, eta: 0:37:01, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1464, decode.acc_seg: 76.7490, aux.loss_ce: 0.0698, aux.acc_seg: 76.0435, loss: 0.2162 +2022-02-28 07:53:25,947 - mmseg - INFO - Iter [151150/160000] lr: 1.106e-06, eta: 0:36:48, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1320, decode.acc_seg: 75.8895, aux.loss_ce: 0.0620, aux.acc_seg: 75.2616, loss: 0.1940 +2022-02-28 07:53:38,125 - mmseg - INFO - Iter [151200/160000] lr: 1.100e-06, eta: 0:36:36, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1358, decode.acc_seg: 76.2185, aux.loss_ce: 0.0646, aux.acc_seg: 75.4575, loss: 0.2005 +2022-02-28 07:53:50,292 - mmseg - INFO - Iter [151250/160000] lr: 1.094e-06, eta: 0:36:23, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1367, decode.acc_seg: 75.3960, aux.loss_ce: 0.0644, aux.acc_seg: 74.7097, loss: 0.2011 +2022-02-28 07:54:02,706 - mmseg - INFO - Iter [151300/160000] lr: 1.088e-06, eta: 0:36:11, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1313, decode.acc_seg: 75.0527, aux.loss_ce: 0.0615, aux.acc_seg: 74.4500, loss: 0.1928 +2022-02-28 07:54:15,018 - mmseg - INFO - Iter [151350/160000] lr: 1.081e-06, eta: 0:35:58, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1203, decode.acc_seg: 76.4403, aux.loss_ce: 0.0573, aux.acc_seg: 75.7486, loss: 0.1776 +2022-02-28 07:54:27,162 - mmseg - INFO - Iter [151400/160000] lr: 1.075e-06, eta: 0:35:46, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1300, decode.acc_seg: 77.5209, aux.loss_ce: 0.0613, aux.acc_seg: 76.8599, loss: 0.1914 +2022-02-28 07:54:39,434 - mmseg - INFO - Iter [151450/160000] lr: 1.069e-06, eta: 0:35:33, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1355, decode.acc_seg: 76.2043, aux.loss_ce: 0.0646, aux.acc_seg: 75.4616, loss: 0.2001 +2022-02-28 07:54:51,721 - mmseg - INFO - Iter [151500/160000] lr: 1.063e-06, eta: 0:35:21, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1360, decode.acc_seg: 77.5620, aux.loss_ce: 0.0634, aux.acc_seg: 76.9244, loss: 0.1995 +2022-02-28 07:55:03,877 - mmseg - INFO - Iter [151550/160000] lr: 1.056e-06, eta: 0:35:08, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1262, decode.acc_seg: 75.6218, aux.loss_ce: 0.0600, aux.acc_seg: 74.9474, loss: 0.1861 +2022-02-28 07:55:18,576 - mmseg - INFO - Iter [151600/160000] lr: 1.050e-06, eta: 0:34:56, time: 0.294, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1261, decode.acc_seg: 76.6101, aux.loss_ce: 0.0591, aux.acc_seg: 75.9781, loss: 0.1852 +2022-02-28 07:55:30,929 - mmseg - INFO - Iter [151650/160000] lr: 1.044e-06, eta: 0:34:43, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1312, decode.acc_seg: 76.2035, aux.loss_ce: 0.0618, aux.acc_seg: 75.5377, loss: 0.1930 +2022-02-28 07:55:43,308 - mmseg - INFO - Iter [151700/160000] lr: 1.038e-06, eta: 0:34:31, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1340, decode.acc_seg: 76.5541, aux.loss_ce: 0.0634, aux.acc_seg: 75.8298, loss: 0.1974 +2022-02-28 07:55:55,564 - mmseg - INFO - Iter [151750/160000] lr: 1.031e-06, eta: 0:34:18, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1263, decode.acc_seg: 77.3794, aux.loss_ce: 0.0599, aux.acc_seg: 76.6808, loss: 0.1862 +2022-02-28 07:56:07,747 - mmseg - INFO - Iter [151800/160000] lr: 1.025e-06, eta: 0:34:06, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1312, decode.acc_seg: 77.1509, aux.loss_ce: 0.0622, aux.acc_seg: 76.4247, loss: 0.1935 +2022-02-28 07:56:19,954 - mmseg - INFO - Iter [151850/160000] lr: 1.019e-06, eta: 0:33:53, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1310, decode.acc_seg: 76.7335, aux.loss_ce: 0.0612, aux.acc_seg: 76.1274, loss: 0.1923 +2022-02-28 07:56:32,311 - mmseg - INFO - Iter [151900/160000] lr: 1.013e-06, eta: 0:33:41, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1245, decode.acc_seg: 76.3817, aux.loss_ce: 0.0586, aux.acc_seg: 75.7679, loss: 0.1830 +2022-02-28 07:56:44,508 - mmseg - INFO - Iter [151950/160000] lr: 1.006e-06, eta: 0:33:29, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1324, decode.acc_seg: 75.9208, aux.loss_ce: 0.0630, aux.acc_seg: 75.2299, loss: 0.1954 +2022-02-28 07:56:56,776 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 07:56:56,776 - mmseg - INFO - Iter [152000/160000] lr: 1.000e-06, eta: 0:33:16, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1329, decode.acc_seg: 77.7624, aux.loss_ce: 0.0628, aux.acc_seg: 77.1162, loss: 0.1957 +2022-02-28 07:57:09,081 - mmseg - INFO - Iter [152050/160000] lr: 9.939e-07, eta: 0:33:04, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1304, decode.acc_seg: 77.2945, aux.loss_ce: 0.0605, aux.acc_seg: 76.6872, loss: 0.1909 +2022-02-28 07:57:21,452 - mmseg - INFO - Iter [152100/160000] lr: 9.876e-07, eta: 0:32:51, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1305, decode.acc_seg: 76.4848, aux.loss_ce: 0.0610, aux.acc_seg: 75.8021, loss: 0.1915 +2022-02-28 07:57:33,788 - mmseg - INFO - Iter [152150/160000] lr: 9.814e-07, eta: 0:32:39, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1350, decode.acc_seg: 75.1389, aux.loss_ce: 0.0630, aux.acc_seg: 74.4853, loss: 0.1980 +2022-02-28 07:57:45,958 - mmseg - INFO - Iter [152200/160000] lr: 9.751e-07, eta: 0:32:26, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1247, decode.acc_seg: 75.5412, aux.loss_ce: 0.0587, aux.acc_seg: 74.8816, loss: 0.1834 +2022-02-28 07:57:58,314 - mmseg - INFO - Iter [152250/160000] lr: 9.689e-07, eta: 0:32:14, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1346, decode.acc_seg: 75.0351, aux.loss_ce: 0.0631, aux.acc_seg: 74.3675, loss: 0.1977 +2022-02-28 07:58:10,631 - mmseg - INFO - Iter [152300/160000] lr: 9.626e-07, eta: 0:32:01, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1287, decode.acc_seg: 77.4194, aux.loss_ce: 0.0608, aux.acc_seg: 76.7326, loss: 0.1895 +2022-02-28 07:58:23,094 - mmseg - INFO - Iter [152350/160000] lr: 9.564e-07, eta: 0:31:49, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1197, decode.acc_seg: 75.9898, aux.loss_ce: 0.0570, aux.acc_seg: 75.3325, loss: 0.1767 +2022-02-28 07:58:35,500 - mmseg - INFO - Iter [152400/160000] lr: 9.501e-07, eta: 0:31:36, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1336, decode.acc_seg: 75.6419, aux.loss_ce: 0.0621, aux.acc_seg: 75.0218, loss: 0.1957 +2022-02-28 07:58:47,767 - mmseg - INFO - Iter [152450/160000] lr: 9.439e-07, eta: 0:31:24, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1298, decode.acc_seg: 75.5573, aux.loss_ce: 0.0616, aux.acc_seg: 74.8803, loss: 0.1914 +2022-02-28 07:59:00,125 - mmseg - INFO - Iter [152500/160000] lr: 9.376e-07, eta: 0:31:11, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1296, decode.acc_seg: 76.6549, aux.loss_ce: 0.0606, aux.acc_seg: 76.0143, loss: 0.1902 +2022-02-28 07:59:12,369 - mmseg - INFO - Iter [152550/160000] lr: 9.314e-07, eta: 0:30:59, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1226, decode.acc_seg: 77.0466, aux.loss_ce: 0.0579, aux.acc_seg: 76.4227, loss: 0.1804 +2022-02-28 07:59:24,669 - mmseg - INFO - Iter [152600/160000] lr: 9.251e-07, eta: 0:30:46, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1269, decode.acc_seg: 75.4272, aux.loss_ce: 0.0591, aux.acc_seg: 74.8539, loss: 0.1860 +2022-02-28 07:59:37,059 - mmseg - INFO - Iter [152650/160000] lr: 9.189e-07, eta: 0:30:34, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1279, decode.acc_seg: 76.1717, aux.loss_ce: 0.0604, aux.acc_seg: 75.5063, loss: 0.1882 +2022-02-28 07:59:49,722 - mmseg - INFO - Iter [152700/160000] lr: 9.126e-07, eta: 0:30:21, time: 0.253, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1291, decode.acc_seg: 76.3605, aux.loss_ce: 0.0612, aux.acc_seg: 75.6461, loss: 0.1904 +2022-02-28 08:00:02,033 - mmseg - INFO - Iter [152750/160000] lr: 9.064e-07, eta: 0:30:09, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1333, decode.acc_seg: 76.8160, aux.loss_ce: 0.0617, aux.acc_seg: 76.1774, loss: 0.1950 +2022-02-28 08:00:14,324 - mmseg - INFO - Iter [152800/160000] lr: 9.001e-07, eta: 0:29:56, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1266, decode.acc_seg: 76.0109, aux.loss_ce: 0.0594, aux.acc_seg: 75.3851, loss: 0.1860 +2022-02-28 08:00:28,995 - mmseg - INFO - Iter [152850/160000] lr: 8.939e-07, eta: 0:29:44, time: 0.293, data_time: 0.051, memory: 56778, decode.loss_ce: 0.1345, decode.acc_seg: 78.0214, aux.loss_ce: 0.0632, aux.acc_seg: 77.2536, loss: 0.1978 +2022-02-28 08:00:41,238 - mmseg - INFO - Iter [152900/160000] lr: 8.876e-07, eta: 0:29:31, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1341, decode.acc_seg: 76.5158, aux.loss_ce: 0.0628, aux.acc_seg: 75.8355, loss: 0.1969 +2022-02-28 08:00:53,579 - mmseg - INFO - Iter [152950/160000] lr: 8.814e-07, eta: 0:29:19, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1227, decode.acc_seg: 75.6895, aux.loss_ce: 0.0584, aux.acc_seg: 75.0059, loss: 0.1811 +2022-02-28 08:01:05,744 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 08:01:05,744 - mmseg - INFO - Iter [153000/160000] lr: 8.751e-07, eta: 0:29:06, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1373, decode.acc_seg: 76.4258, aux.loss_ce: 0.0642, aux.acc_seg: 75.8620, loss: 0.2015 +2022-02-28 08:01:18,141 - mmseg - INFO - Iter [153050/160000] lr: 8.689e-07, eta: 0:28:54, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1263, decode.acc_seg: 77.2287, aux.loss_ce: 0.0587, aux.acc_seg: 76.6386, loss: 0.1850 +2022-02-28 08:01:30,380 - mmseg - INFO - Iter [153100/160000] lr: 8.626e-07, eta: 0:28:41, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1307, decode.acc_seg: 77.5589, aux.loss_ce: 0.0616, aux.acc_seg: 76.9245, loss: 0.1923 +2022-02-28 08:01:42,642 - mmseg - INFO - Iter [153150/160000] lr: 8.564e-07, eta: 0:28:29, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1369, decode.acc_seg: 76.8315, aux.loss_ce: 0.0644, aux.acc_seg: 76.0950, loss: 0.2013 +2022-02-28 08:01:54,981 - mmseg - INFO - Iter [153200/160000] lr: 8.501e-07, eta: 0:28:16, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1318, decode.acc_seg: 74.9013, aux.loss_ce: 0.0622, aux.acc_seg: 74.2414, loss: 0.1940 +2022-02-28 08:02:07,362 - mmseg - INFO - Iter [153250/160000] lr: 8.439e-07, eta: 0:28:04, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1255, decode.acc_seg: 76.1642, aux.loss_ce: 0.0588, aux.acc_seg: 75.5896, loss: 0.1843 +2022-02-28 08:02:19,827 - mmseg - INFO - Iter [153300/160000] lr: 8.376e-07, eta: 0:27:52, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1363, decode.acc_seg: 77.0462, aux.loss_ce: 0.0645, aux.acc_seg: 76.3098, loss: 0.2008 +2022-02-28 08:02:32,127 - mmseg - INFO - Iter [153350/160000] lr: 8.314e-07, eta: 0:27:39, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1346, decode.acc_seg: 76.6990, aux.loss_ce: 0.0639, aux.acc_seg: 76.0181, loss: 0.1985 +2022-02-28 08:02:44,272 - mmseg - INFO - Iter [153400/160000] lr: 8.251e-07, eta: 0:27:27, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1262, decode.acc_seg: 75.6678, aux.loss_ce: 0.0589, aux.acc_seg: 75.0790, loss: 0.1850 +2022-02-28 08:02:56,579 - mmseg - INFO - Iter [153450/160000] lr: 8.189e-07, eta: 0:27:14, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1323, decode.acc_seg: 75.8782, aux.loss_ce: 0.0621, aux.acc_seg: 75.2122, loss: 0.1944 +2022-02-28 08:03:08,853 - mmseg - INFO - Iter [153500/160000] lr: 8.126e-07, eta: 0:27:02, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1354, decode.acc_seg: 78.0809, aux.loss_ce: 0.0636, aux.acc_seg: 77.3900, loss: 0.1990 +2022-02-28 08:03:21,087 - mmseg - INFO - Iter [153550/160000] lr: 8.064e-07, eta: 0:26:49, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1342, decode.acc_seg: 76.2905, aux.loss_ce: 0.0631, aux.acc_seg: 75.5489, loss: 0.1973 +2022-02-28 08:03:33,276 - mmseg - INFO - Iter [153600/160000] lr: 8.001e-07, eta: 0:26:37, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1335, decode.acc_seg: 73.8178, aux.loss_ce: 0.0624, aux.acc_seg: 73.1524, loss: 0.1959 +2022-02-28 08:03:45,542 - mmseg - INFO - Iter [153650/160000] lr: 7.939e-07, eta: 0:26:24, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1227, decode.acc_seg: 75.6661, aux.loss_ce: 0.0578, aux.acc_seg: 75.0673, loss: 0.1805 +2022-02-28 08:03:57,890 - mmseg - INFO - Iter [153700/160000] lr: 7.876e-07, eta: 0:26:12, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1251, decode.acc_seg: 76.4147, aux.loss_ce: 0.0597, aux.acc_seg: 75.7094, loss: 0.1848 +2022-02-28 08:04:10,173 - mmseg - INFO - Iter [153750/160000] lr: 7.814e-07, eta: 0:25:59, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1268, decode.acc_seg: 76.2972, aux.loss_ce: 0.0601, aux.acc_seg: 75.6150, loss: 0.1869 +2022-02-28 08:04:22,567 - mmseg - INFO - Iter [153800/160000] lr: 7.751e-07, eta: 0:25:47, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1216, decode.acc_seg: 76.5005, aux.loss_ce: 0.0571, aux.acc_seg: 75.8816, loss: 0.1787 +2022-02-28 08:04:34,816 - mmseg - INFO - Iter [153850/160000] lr: 7.689e-07, eta: 0:25:34, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1311, decode.acc_seg: 76.0683, aux.loss_ce: 0.0616, aux.acc_seg: 75.3894, loss: 0.1927 +2022-02-28 08:04:47,141 - mmseg - INFO - Iter [153900/160000] lr: 7.626e-07, eta: 0:25:22, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1269, decode.acc_seg: 75.1089, aux.loss_ce: 0.0600, aux.acc_seg: 74.4075, loss: 0.1869 +2022-02-28 08:04:59,404 - mmseg - INFO - Iter [153950/160000] lr: 7.564e-07, eta: 0:25:09, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1273, decode.acc_seg: 77.1746, aux.loss_ce: 0.0601, aux.acc_seg: 76.5751, loss: 0.1874 +2022-02-28 08:05:11,563 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 08:05:11,563 - mmseg - INFO - Iter [154000/160000] lr: 7.501e-07, eta: 0:24:57, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1234, decode.acc_seg: 76.5282, aux.loss_ce: 0.0582, aux.acc_seg: 75.9336, loss: 0.1815 +2022-02-28 08:05:23,880 - mmseg - INFO - Iter [154050/160000] lr: 7.439e-07, eta: 0:24:44, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1298, decode.acc_seg: 76.1038, aux.loss_ce: 0.0610, aux.acc_seg: 75.4498, loss: 0.1907 +2022-02-28 08:05:38,474 - mmseg - INFO - Iter [154100/160000] lr: 7.376e-07, eta: 0:24:32, time: 0.292, data_time: 0.047, memory: 56778, decode.loss_ce: 0.1269, decode.acc_seg: 75.6709, aux.loss_ce: 0.0595, aux.acc_seg: 75.0425, loss: 0.1864 +2022-02-28 08:05:50,758 - mmseg - INFO - Iter [154150/160000] lr: 7.314e-07, eta: 0:24:19, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1282, decode.acc_seg: 76.2047, aux.loss_ce: 0.0606, aux.acc_seg: 75.4816, loss: 0.1888 +2022-02-28 08:06:03,006 - mmseg - INFO - Iter [154200/160000] lr: 7.251e-07, eta: 0:24:07, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1288, decode.acc_seg: 77.0338, aux.loss_ce: 0.0604, aux.acc_seg: 76.3802, loss: 0.1893 +2022-02-28 08:06:15,208 - mmseg - INFO - Iter [154250/160000] lr: 7.189e-07, eta: 0:23:54, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1207, decode.acc_seg: 76.1996, aux.loss_ce: 0.0573, aux.acc_seg: 75.5172, loss: 0.1780 +2022-02-28 08:06:27,381 - mmseg - INFO - Iter [154300/160000] lr: 7.126e-07, eta: 0:23:42, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1435, decode.acc_seg: 76.0030, aux.loss_ce: 0.0673, aux.acc_seg: 75.2951, loss: 0.2108 +2022-02-28 08:06:39,697 - mmseg - INFO - Iter [154350/160000] lr: 7.064e-07, eta: 0:23:29, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1332, decode.acc_seg: 75.9714, aux.loss_ce: 0.0627, aux.acc_seg: 75.2781, loss: 0.1959 +2022-02-28 08:06:52,057 - mmseg - INFO - Iter [154400/160000] lr: 7.001e-07, eta: 0:23:17, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1378, decode.acc_seg: 76.1308, aux.loss_ce: 0.0648, aux.acc_seg: 75.4773, loss: 0.2026 +2022-02-28 08:07:04,371 - mmseg - INFO - Iter [154450/160000] lr: 6.939e-07, eta: 0:23:04, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1319, decode.acc_seg: 76.3994, aux.loss_ce: 0.0620, aux.acc_seg: 75.7236, loss: 0.1939 +2022-02-28 08:07:16,794 - mmseg - INFO - Iter [154500/160000] lr: 6.876e-07, eta: 0:22:52, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1244, decode.acc_seg: 75.4778, aux.loss_ce: 0.0600, aux.acc_seg: 74.7094, loss: 0.1843 +2022-02-28 08:07:29,191 - mmseg - INFO - Iter [154550/160000] lr: 6.814e-07, eta: 0:22:39, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1358, decode.acc_seg: 75.8581, aux.loss_ce: 0.0638, aux.acc_seg: 75.2173, loss: 0.1996 +2022-02-28 08:07:41,514 - mmseg - INFO - Iter [154600/160000] lr: 6.751e-07, eta: 0:22:27, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1330, decode.acc_seg: 78.2459, aux.loss_ce: 0.0631, aux.acc_seg: 77.4739, loss: 0.1962 +2022-02-28 08:07:53,732 - mmseg - INFO - Iter [154650/160000] lr: 6.689e-07, eta: 0:22:15, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1373, decode.acc_seg: 77.5356, aux.loss_ce: 0.0646, aux.acc_seg: 76.8308, loss: 0.2019 +2022-02-28 08:08:06,022 - mmseg - INFO - Iter [154700/160000] lr: 6.626e-07, eta: 0:22:02, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1246, decode.acc_seg: 76.1711, aux.loss_ce: 0.0590, aux.acc_seg: 75.4962, loss: 0.1835 +2022-02-28 08:08:18,203 - mmseg - INFO - Iter [154750/160000] lr: 6.564e-07, eta: 0:21:50, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1317, decode.acc_seg: 76.9118, aux.loss_ce: 0.0622, aux.acc_seg: 76.1875, loss: 0.1939 +2022-02-28 08:08:30,511 - mmseg - INFO - Iter [154800/160000] lr: 6.501e-07, eta: 0:21:37, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1352, decode.acc_seg: 76.2338, aux.loss_ce: 0.0639, aux.acc_seg: 75.5086, loss: 0.1991 +2022-02-28 08:08:42,683 - mmseg - INFO - Iter [154850/160000] lr: 6.439e-07, eta: 0:21:25, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1300, decode.acc_seg: 76.4436, aux.loss_ce: 0.0612, aux.acc_seg: 75.7606, loss: 0.1913 +2022-02-28 08:08:54,849 - mmseg - INFO - Iter [154900/160000] lr: 6.376e-07, eta: 0:21:12, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1336, decode.acc_seg: 76.9826, aux.loss_ce: 0.0623, aux.acc_seg: 76.3473, loss: 0.1959 +2022-02-28 08:09:07,110 - mmseg - INFO - Iter [154950/160000] lr: 6.314e-07, eta: 0:21:00, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1292, decode.acc_seg: 77.4272, aux.loss_ce: 0.0611, aux.acc_seg: 76.7424, loss: 0.1903 +2022-02-28 08:09:19,396 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 08:09:19,396 - mmseg - INFO - Iter [155000/160000] lr: 6.251e-07, eta: 0:20:47, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1329, decode.acc_seg: 75.2427, aux.loss_ce: 0.0624, aux.acc_seg: 74.6183, loss: 0.1953 +2022-02-28 08:09:31,633 - mmseg - INFO - Iter [155050/160000] lr: 6.189e-07, eta: 0:20:35, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1393, decode.acc_seg: 77.7719, aux.loss_ce: 0.0658, aux.acc_seg: 77.0713, loss: 0.2051 +2022-02-28 08:09:43,849 - mmseg - INFO - Iter [155100/160000] lr: 6.126e-07, eta: 0:20:22, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1267, decode.acc_seg: 76.2232, aux.loss_ce: 0.0599, aux.acc_seg: 75.5318, loss: 0.1866 +2022-02-28 08:09:56,228 - mmseg - INFO - Iter [155150/160000] lr: 6.064e-07, eta: 0:20:10, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1275, decode.acc_seg: 75.5065, aux.loss_ce: 0.0604, aux.acc_seg: 74.8523, loss: 0.1879 +2022-02-28 08:10:08,415 - mmseg - INFO - Iter [155200/160000] lr: 6.001e-07, eta: 0:19:57, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1279, decode.acc_seg: 76.5159, aux.loss_ce: 0.0603, aux.acc_seg: 75.8382, loss: 0.1882 +2022-02-28 08:10:20,677 - mmseg - INFO - Iter [155250/160000] lr: 5.939e-07, eta: 0:19:45, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1287, decode.acc_seg: 76.8263, aux.loss_ce: 0.0614, aux.acc_seg: 76.0929, loss: 0.1902 +2022-02-28 08:10:33,126 - mmseg - INFO - Iter [155300/160000] lr: 5.876e-07, eta: 0:19:32, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1359, decode.acc_seg: 75.4516, aux.loss_ce: 0.0623, aux.acc_seg: 74.8479, loss: 0.1983 +2022-02-28 08:10:48,042 - mmseg - INFO - Iter [155350/160000] lr: 5.814e-07, eta: 0:19:20, time: 0.298, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1249, decode.acc_seg: 76.1830, aux.loss_ce: 0.0587, aux.acc_seg: 75.6029, loss: 0.1836 +2022-02-28 08:11:00,360 - mmseg - INFO - Iter [155400/160000] lr: 5.751e-07, eta: 0:19:07, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1396, decode.acc_seg: 75.7982, aux.loss_ce: 0.0649, aux.acc_seg: 75.1482, loss: 0.2045 +2022-02-28 08:11:12,640 - mmseg - INFO - Iter [155450/160000] lr: 5.689e-07, eta: 0:18:55, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1267, decode.acc_seg: 75.9833, aux.loss_ce: 0.0599, aux.acc_seg: 75.2888, loss: 0.1866 +2022-02-28 08:11:24,876 - mmseg - INFO - Iter [155500/160000] lr: 5.626e-07, eta: 0:18:42, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1283, decode.acc_seg: 75.1879, aux.loss_ce: 0.0610, aux.acc_seg: 74.4991, loss: 0.1893 +2022-02-28 08:11:37,102 - mmseg - INFO - Iter [155550/160000] lr: 5.564e-07, eta: 0:18:30, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1278, decode.acc_seg: 76.3964, aux.loss_ce: 0.0607, aux.acc_seg: 75.6991, loss: 0.1885 +2022-02-28 08:11:49,356 - mmseg - INFO - Iter [155600/160000] lr: 5.501e-07, eta: 0:18:17, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1232, decode.acc_seg: 77.9547, aux.loss_ce: 0.0577, aux.acc_seg: 77.3079, loss: 0.1809 +2022-02-28 08:12:01,564 - mmseg - INFO - Iter [155650/160000] lr: 5.439e-07, eta: 0:18:05, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1344, decode.acc_seg: 75.9590, aux.loss_ce: 0.0636, aux.acc_seg: 75.2285, loss: 0.1980 +2022-02-28 08:12:13,825 - mmseg - INFO - Iter [155700/160000] lr: 5.376e-07, eta: 0:17:52, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1357, decode.acc_seg: 76.0624, aux.loss_ce: 0.0642, aux.acc_seg: 75.3740, loss: 0.2000 +2022-02-28 08:12:26,206 - mmseg - INFO - Iter [155750/160000] lr: 5.314e-07, eta: 0:17:40, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1236, decode.acc_seg: 76.3883, aux.loss_ce: 0.0593, aux.acc_seg: 75.6582, loss: 0.1829 +2022-02-28 08:12:38,527 - mmseg - INFO - Iter [155800/160000] lr: 5.251e-07, eta: 0:17:27, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1281, decode.acc_seg: 76.6387, aux.loss_ce: 0.0605, aux.acc_seg: 75.9450, loss: 0.1886 +2022-02-28 08:12:50,698 - mmseg - INFO - Iter [155850/160000] lr: 5.189e-07, eta: 0:17:15, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1240, decode.acc_seg: 76.0964, aux.loss_ce: 0.0580, aux.acc_seg: 75.4941, loss: 0.1821 +2022-02-28 08:13:02,966 - mmseg - INFO - Iter [155900/160000] lr: 5.126e-07, eta: 0:17:03, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1274, decode.acc_seg: 76.5734, aux.loss_ce: 0.0600, aux.acc_seg: 75.9125, loss: 0.1875 +2022-02-28 08:13:15,250 - mmseg - INFO - Iter [155950/160000] lr: 5.064e-07, eta: 0:16:50, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1255, decode.acc_seg: 77.5383, aux.loss_ce: 0.0587, aux.acc_seg: 76.9473, loss: 0.1842 +2022-02-28 08:13:27,420 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 08:13:27,421 - mmseg - INFO - Iter [156000/160000] lr: 5.001e-07, eta: 0:16:38, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1325, decode.acc_seg: 76.9101, aux.loss_ce: 0.0623, aux.acc_seg: 76.2775, loss: 0.1948 +2022-02-28 08:13:39,724 - mmseg - INFO - Iter [156050/160000] lr: 4.939e-07, eta: 0:16:25, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1303, decode.acc_seg: 77.0545, aux.loss_ce: 0.0610, aux.acc_seg: 76.3852, loss: 0.1913 +2022-02-28 08:13:52,115 - mmseg - INFO - Iter [156100/160000] lr: 4.876e-07, eta: 0:16:13, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1303, decode.acc_seg: 76.3435, aux.loss_ce: 0.0617, aux.acc_seg: 75.7041, loss: 0.1920 +2022-02-28 08:14:04,288 - mmseg - INFO - Iter [156150/160000] lr: 4.814e-07, eta: 0:16:00, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1265, decode.acc_seg: 76.1668, aux.loss_ce: 0.0598, aux.acc_seg: 75.5158, loss: 0.1863 +2022-02-28 08:14:16,528 - mmseg - INFO - Iter [156200/160000] lr: 4.751e-07, eta: 0:15:48, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1319, decode.acc_seg: 74.2374, aux.loss_ce: 0.0616, aux.acc_seg: 73.6211, loss: 0.1936 +2022-02-28 08:14:28,896 - mmseg - INFO - Iter [156250/160000] lr: 4.689e-07, eta: 0:15:35, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1260, decode.acc_seg: 74.8205, aux.loss_ce: 0.0591, aux.acc_seg: 74.1707, loss: 0.1851 +2022-02-28 08:14:41,118 - mmseg - INFO - Iter [156300/160000] lr: 4.626e-07, eta: 0:15:23, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1271, decode.acc_seg: 75.1114, aux.loss_ce: 0.0602, aux.acc_seg: 74.3986, loss: 0.1873 +2022-02-28 08:14:53,319 - mmseg - INFO - Iter [156350/160000] lr: 4.564e-07, eta: 0:15:10, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1264, decode.acc_seg: 75.6376, aux.loss_ce: 0.0603, aux.acc_seg: 74.9289, loss: 0.1867 +2022-02-28 08:15:05,508 - mmseg - INFO - Iter [156400/160000] lr: 4.501e-07, eta: 0:14:58, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1312, decode.acc_seg: 76.9826, aux.loss_ce: 0.0621, aux.acc_seg: 76.2780, loss: 0.1933 +2022-02-28 08:15:17,763 - mmseg - INFO - Iter [156450/160000] lr: 4.439e-07, eta: 0:14:45, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1249, decode.acc_seg: 75.6063, aux.loss_ce: 0.0591, aux.acc_seg: 74.9932, loss: 0.1840 +2022-02-28 08:15:30,114 - mmseg - INFO - Iter [156500/160000] lr: 4.376e-07, eta: 0:14:33, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1235, decode.acc_seg: 76.6798, aux.loss_ce: 0.0589, aux.acc_seg: 76.0150, loss: 0.1824 +2022-02-28 08:15:42,359 - mmseg - INFO - Iter [156550/160000] lr: 4.314e-07, eta: 0:14:20, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1340, decode.acc_seg: 77.9565, aux.loss_ce: 0.0642, aux.acc_seg: 77.1930, loss: 0.1982 +2022-02-28 08:15:54,655 - mmseg - INFO - Iter [156600/160000] lr: 4.251e-07, eta: 0:14:08, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1285, decode.acc_seg: 77.1738, aux.loss_ce: 0.0612, aux.acc_seg: 76.5056, loss: 0.1897 +2022-02-28 08:16:09,110 - mmseg - INFO - Iter [156650/160000] lr: 4.189e-07, eta: 0:13:55, time: 0.289, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1247, decode.acc_seg: 75.7487, aux.loss_ce: 0.0591, aux.acc_seg: 75.0049, loss: 0.1839 +2022-02-28 08:16:21,465 - mmseg - INFO - Iter [156700/160000] lr: 4.126e-07, eta: 0:13:43, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1322, decode.acc_seg: 76.5087, aux.loss_ce: 0.0625, aux.acc_seg: 75.8168, loss: 0.1946 +2022-02-28 08:16:33,934 - mmseg - INFO - Iter [156750/160000] lr: 4.064e-07, eta: 0:13:30, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1379, decode.acc_seg: 76.7868, aux.loss_ce: 0.0649, aux.acc_seg: 76.0702, loss: 0.2028 +2022-02-28 08:16:46,252 - mmseg - INFO - Iter [156800/160000] lr: 4.001e-07, eta: 0:13:18, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1228, decode.acc_seg: 76.2617, aux.loss_ce: 0.0581, aux.acc_seg: 75.5350, loss: 0.1809 +2022-02-28 08:16:58,417 - mmseg - INFO - Iter [156850/160000] lr: 3.939e-07, eta: 0:13:05, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1293, decode.acc_seg: 76.4751, aux.loss_ce: 0.0600, aux.acc_seg: 75.8552, loss: 0.1894 +2022-02-28 08:17:10,671 - mmseg - INFO - Iter [156900/160000] lr: 3.876e-07, eta: 0:12:53, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1269, decode.acc_seg: 76.4273, aux.loss_ce: 0.0592, aux.acc_seg: 75.7830, loss: 0.1862 +2022-02-28 08:17:22,943 - mmseg - INFO - Iter [156950/160000] lr: 3.814e-07, eta: 0:12:40, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1298, decode.acc_seg: 76.2814, aux.loss_ce: 0.0611, aux.acc_seg: 75.6030, loss: 0.1909 +2022-02-28 08:17:35,423 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 08:17:35,423 - mmseg - INFO - Iter [157000/160000] lr: 3.751e-07, eta: 0:12:28, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1223, decode.acc_seg: 76.7437, aux.loss_ce: 0.0573, aux.acc_seg: 76.1525, loss: 0.1796 +2022-02-28 08:17:47,638 - mmseg - INFO - Iter [157050/160000] lr: 3.689e-07, eta: 0:12:16, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1280, decode.acc_seg: 76.2591, aux.loss_ce: 0.0612, aux.acc_seg: 75.5096, loss: 0.1893 +2022-02-28 08:18:00,158 - mmseg - INFO - Iter [157100/160000] lr: 3.626e-07, eta: 0:12:03, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1294, decode.acc_seg: 76.7842, aux.loss_ce: 0.0611, aux.acc_seg: 76.0649, loss: 0.1905 +2022-02-28 08:18:12,355 - mmseg - INFO - Iter [157150/160000] lr: 3.564e-07, eta: 0:11:51, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1302, decode.acc_seg: 77.0813, aux.loss_ce: 0.0625, aux.acc_seg: 76.3465, loss: 0.1927 +2022-02-28 08:18:24,561 - mmseg - INFO - Iter [157200/160000] lr: 3.501e-07, eta: 0:11:38, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1284, decode.acc_seg: 76.7845, aux.loss_ce: 0.0603, aux.acc_seg: 76.1083, loss: 0.1887 +2022-02-28 08:18:36,779 - mmseg - INFO - Iter [157250/160000] lr: 3.439e-07, eta: 0:11:26, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1301, decode.acc_seg: 76.5653, aux.loss_ce: 0.0608, aux.acc_seg: 75.9411, loss: 0.1909 +2022-02-28 08:18:49,041 - mmseg - INFO - Iter [157300/160000] lr: 3.376e-07, eta: 0:11:13, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1219, decode.acc_seg: 76.2542, aux.loss_ce: 0.0575, aux.acc_seg: 75.6249, loss: 0.1794 +2022-02-28 08:19:01,433 - mmseg - INFO - Iter [157350/160000] lr: 3.314e-07, eta: 0:11:01, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1276, decode.acc_seg: 76.7642, aux.loss_ce: 0.0599, aux.acc_seg: 76.1392, loss: 0.1876 +2022-02-28 08:19:13,672 - mmseg - INFO - Iter [157400/160000] lr: 3.251e-07, eta: 0:10:48, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1287, decode.acc_seg: 74.9061, aux.loss_ce: 0.0613, aux.acc_seg: 74.1916, loss: 0.1900 +2022-02-28 08:19:26,069 - mmseg - INFO - Iter [157450/160000] lr: 3.189e-07, eta: 0:10:36, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1228, decode.acc_seg: 76.8925, aux.loss_ce: 0.0583, aux.acc_seg: 76.1890, loss: 0.1812 +2022-02-28 08:19:38,448 - mmseg - INFO - Iter [157500/160000] lr: 3.126e-07, eta: 0:10:23, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1297, decode.acc_seg: 74.8529, aux.loss_ce: 0.0620, aux.acc_seg: 74.1443, loss: 0.1917 +2022-02-28 08:19:50,648 - mmseg - INFO - Iter [157550/160000] lr: 3.064e-07, eta: 0:10:11, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1292, decode.acc_seg: 75.3677, aux.loss_ce: 0.0609, aux.acc_seg: 74.7205, loss: 0.1901 +2022-02-28 08:20:02,852 - mmseg - INFO - Iter [157600/160000] lr: 3.001e-07, eta: 0:09:58, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1279, decode.acc_seg: 75.4744, aux.loss_ce: 0.0603, aux.acc_seg: 74.8294, loss: 0.1882 +2022-02-28 08:20:15,185 - mmseg - INFO - Iter [157650/160000] lr: 2.939e-07, eta: 0:09:46, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1243, decode.acc_seg: 74.7026, aux.loss_ce: 0.0588, aux.acc_seg: 74.0406, loss: 0.1832 +2022-02-28 08:20:27,666 - mmseg - INFO - Iter [157700/160000] lr: 2.876e-07, eta: 0:09:33, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1251, decode.acc_seg: 77.8818, aux.loss_ce: 0.0587, aux.acc_seg: 77.2458, loss: 0.1838 +2022-02-28 08:20:40,161 - mmseg - INFO - Iter [157750/160000] lr: 2.814e-07, eta: 0:09:21, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1211, decode.acc_seg: 77.0662, aux.loss_ce: 0.0573, aux.acc_seg: 76.3807, loss: 0.1784 +2022-02-28 08:20:52,759 - mmseg - INFO - Iter [157800/160000] lr: 2.751e-07, eta: 0:09:08, time: 0.252, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1313, decode.acc_seg: 75.9822, aux.loss_ce: 0.0633, aux.acc_seg: 75.2114, loss: 0.1946 +2022-02-28 08:21:05,074 - mmseg - INFO - Iter [157850/160000] lr: 2.689e-07, eta: 0:08:56, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1297, decode.acc_seg: 77.7143, aux.loss_ce: 0.0605, aux.acc_seg: 77.0803, loss: 0.1902 +2022-02-28 08:21:19,658 - mmseg - INFO - Iter [157900/160000] lr: 2.626e-07, eta: 0:08:43, time: 0.292, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1269, decode.acc_seg: 76.6951, aux.loss_ce: 0.0593, aux.acc_seg: 75.9915, loss: 0.1863 +2022-02-28 08:21:31,946 - mmseg - INFO - Iter [157950/160000] lr: 2.564e-07, eta: 0:08:31, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1282, decode.acc_seg: 76.3527, aux.loss_ce: 0.0606, aux.acc_seg: 75.6725, loss: 0.1888 +2022-02-28 08:21:44,412 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 08:21:44,412 - mmseg - INFO - Iter [158000/160000] lr: 2.501e-07, eta: 0:08:19, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1348, decode.acc_seg: 75.4471, aux.loss_ce: 0.0638, aux.acc_seg: 74.7515, loss: 0.1986 +2022-02-28 08:21:56,806 - mmseg - INFO - Iter [158050/160000] lr: 2.439e-07, eta: 0:08:06, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1188, decode.acc_seg: 75.6915, aux.loss_ce: 0.0561, aux.acc_seg: 75.0317, loss: 0.1750 +2022-02-28 08:22:09,191 - mmseg - INFO - Iter [158100/160000] lr: 2.376e-07, eta: 0:07:54, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1314, decode.acc_seg: 75.7618, aux.loss_ce: 0.0619, aux.acc_seg: 75.0582, loss: 0.1933 +2022-02-28 08:22:21,477 - mmseg - INFO - Iter [158150/160000] lr: 2.314e-07, eta: 0:07:41, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1252, decode.acc_seg: 76.4812, aux.loss_ce: 0.0596, aux.acc_seg: 75.7542, loss: 0.1848 +2022-02-28 08:22:33,715 - mmseg - INFO - Iter [158200/160000] lr: 2.251e-07, eta: 0:07:29, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1279, decode.acc_seg: 76.3442, aux.loss_ce: 0.0603, aux.acc_seg: 75.6818, loss: 0.1883 +2022-02-28 08:22:45,866 - mmseg - INFO - Iter [158250/160000] lr: 2.189e-07, eta: 0:07:16, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1270, decode.acc_seg: 76.8974, aux.loss_ce: 0.0604, aux.acc_seg: 76.1865, loss: 0.1873 +2022-02-28 08:22:58,277 - mmseg - INFO - Iter [158300/160000] lr: 2.126e-07, eta: 0:07:04, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1328, decode.acc_seg: 75.8596, aux.loss_ce: 0.0616, aux.acc_seg: 75.2315, loss: 0.1944 +2022-02-28 08:23:10,517 - mmseg - INFO - Iter [158350/160000] lr: 2.064e-07, eta: 0:06:51, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1329, decode.acc_seg: 74.9630, aux.loss_ce: 0.0622, aux.acc_seg: 74.2735, loss: 0.1951 +2022-02-28 08:23:22,868 - mmseg - INFO - Iter [158400/160000] lr: 2.001e-07, eta: 0:06:39, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1288, decode.acc_seg: 76.5333, aux.loss_ce: 0.0604, aux.acc_seg: 75.8805, loss: 0.1892 +2022-02-28 08:23:35,282 - mmseg - INFO - Iter [158450/160000] lr: 1.939e-07, eta: 0:06:26, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1340, decode.acc_seg: 74.9720, aux.loss_ce: 0.0630, aux.acc_seg: 74.2854, loss: 0.1969 +2022-02-28 08:23:47,570 - mmseg - INFO - Iter [158500/160000] lr: 1.876e-07, eta: 0:06:14, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1184, decode.acc_seg: 77.3014, aux.loss_ce: 0.0562, aux.acc_seg: 76.6411, loss: 0.1745 +2022-02-28 08:23:59,978 - mmseg - INFO - Iter [158550/160000] lr: 1.814e-07, eta: 0:06:01, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1280, decode.acc_seg: 77.1529, aux.loss_ce: 0.0609, aux.acc_seg: 76.4041, loss: 0.1890 +2022-02-28 08:24:12,386 - mmseg - INFO - Iter [158600/160000] lr: 1.751e-07, eta: 0:05:49, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1290, decode.acc_seg: 75.7524, aux.loss_ce: 0.0610, aux.acc_seg: 75.1341, loss: 0.1899 +2022-02-28 08:24:24,839 - mmseg - INFO - Iter [158650/160000] lr: 1.689e-07, eta: 0:05:36, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1258, decode.acc_seg: 74.7250, aux.loss_ce: 0.0591, aux.acc_seg: 74.0363, loss: 0.1849 +2022-02-28 08:24:37,027 - mmseg - INFO - Iter [158700/160000] lr: 1.626e-07, eta: 0:05:24, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1293, decode.acc_seg: 75.9762, aux.loss_ce: 0.0622, aux.acc_seg: 75.2524, loss: 0.1915 +2022-02-28 08:24:49,316 - mmseg - INFO - Iter [158750/160000] lr: 1.564e-07, eta: 0:05:11, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1277, decode.acc_seg: 78.1808, aux.loss_ce: 0.0609, aux.acc_seg: 77.4911, loss: 0.1886 +2022-02-28 08:25:01,547 - mmseg - INFO - Iter [158800/160000] lr: 1.501e-07, eta: 0:04:59, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1266, decode.acc_seg: 77.2648, aux.loss_ce: 0.0598, aux.acc_seg: 76.5911, loss: 0.1864 +2022-02-28 08:25:13,953 - mmseg - INFO - Iter [158850/160000] lr: 1.439e-07, eta: 0:04:46, time: 0.248, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1252, decode.acc_seg: 76.2021, aux.loss_ce: 0.0596, aux.acc_seg: 75.4773, loss: 0.1847 +2022-02-28 08:25:26,195 - mmseg - INFO - Iter [158900/160000] lr: 1.376e-07, eta: 0:04:34, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1256, decode.acc_seg: 76.4444, aux.loss_ce: 0.0596, aux.acc_seg: 75.7506, loss: 0.1853 +2022-02-28 08:25:38,433 - mmseg - INFO - Iter [158950/160000] lr: 1.314e-07, eta: 0:04:21, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1271, decode.acc_seg: 75.8311, aux.loss_ce: 0.0599, aux.acc_seg: 75.1549, loss: 0.1871 +2022-02-28 08:25:50,587 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 08:25:50,587 - mmseg - INFO - Iter [159000/160000] lr: 1.251e-07, eta: 0:04:09, time: 0.243, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1363, decode.acc_seg: 77.3099, aux.loss_ce: 0.0640, aux.acc_seg: 76.5995, loss: 0.2003 +2022-02-28 08:26:02,952 - mmseg - INFO - Iter [159050/160000] lr: 1.189e-07, eta: 0:03:57, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1304, decode.acc_seg: 76.4952, aux.loss_ce: 0.0614, aux.acc_seg: 75.8701, loss: 0.1918 +2022-02-28 08:26:15,281 - mmseg - INFO - Iter [159100/160000] lr: 1.126e-07, eta: 0:03:44, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1283, decode.acc_seg: 76.4091, aux.loss_ce: 0.0606, aux.acc_seg: 75.7762, loss: 0.1890 +2022-02-28 08:26:29,787 - mmseg - INFO - Iter [159150/160000] lr: 1.064e-07, eta: 0:03:32, time: 0.290, data_time: 0.050, memory: 56778, decode.loss_ce: 0.1343, decode.acc_seg: 76.2302, aux.loss_ce: 0.0630, aux.acc_seg: 75.5645, loss: 0.1973 +2022-02-28 08:26:42,235 - mmseg - INFO - Iter [159200/160000] lr: 1.001e-07, eta: 0:03:19, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1308, decode.acc_seg: 75.4831, aux.loss_ce: 0.0625, aux.acc_seg: 74.7742, loss: 0.1933 +2022-02-28 08:26:54,589 - mmseg - INFO - Iter [159250/160000] lr: 9.388e-08, eta: 0:03:07, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1251, decode.acc_seg: 76.3926, aux.loss_ce: 0.0589, aux.acc_seg: 75.7564, loss: 0.1840 +2022-02-28 08:27:06,839 - mmseg - INFO - Iter [159300/160000] lr: 8.763e-08, eta: 0:02:54, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1356, decode.acc_seg: 76.1481, aux.loss_ce: 0.0641, aux.acc_seg: 75.4362, loss: 0.1997 +2022-02-28 08:27:19,013 - mmseg - INFO - Iter [159350/160000] lr: 8.137e-08, eta: 0:02:42, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1259, decode.acc_seg: 75.8983, aux.loss_ce: 0.0599, aux.acc_seg: 75.2526, loss: 0.1859 +2022-02-28 08:27:31,136 - mmseg - INFO - Iter [159400/160000] lr: 7.513e-08, eta: 0:02:29, time: 0.242, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1277, decode.acc_seg: 75.8099, aux.loss_ce: 0.0596, aux.acc_seg: 75.1636, loss: 0.1873 +2022-02-28 08:27:43,343 - mmseg - INFO - Iter [159450/160000] lr: 6.887e-08, eta: 0:02:17, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1229, decode.acc_seg: 75.6250, aux.loss_ce: 0.0580, aux.acc_seg: 74.9575, loss: 0.1809 +2022-02-28 08:27:55,603 - mmseg - INFO - Iter [159500/160000] lr: 6.263e-08, eta: 0:02:04, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1251, decode.acc_seg: 75.5161, aux.loss_ce: 0.0588, aux.acc_seg: 74.8872, loss: 0.1839 +2022-02-28 08:28:07,903 - mmseg - INFO - Iter [159550/160000] lr: 5.637e-08, eta: 0:01:52, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1340, decode.acc_seg: 77.5866, aux.loss_ce: 0.0632, aux.acc_seg: 76.8648, loss: 0.1972 +2022-02-28 08:28:20,268 - mmseg - INFO - Iter [159600/160000] lr: 5.013e-08, eta: 0:01:39, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1266, decode.acc_seg: 76.2634, aux.loss_ce: 0.0598, aux.acc_seg: 75.5894, loss: 0.1864 +2022-02-28 08:28:32,461 - mmseg - INFO - Iter [159650/160000] lr: 4.387e-08, eta: 0:01:27, time: 0.244, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1339, decode.acc_seg: 77.2316, aux.loss_ce: 0.0624, aux.acc_seg: 76.5971, loss: 0.1963 +2022-02-28 08:28:44,710 - mmseg - INFO - Iter [159700/160000] lr: 3.762e-08, eta: 0:01:14, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1241, decode.acc_seg: 75.5478, aux.loss_ce: 0.0586, aux.acc_seg: 74.9072, loss: 0.1827 +2022-02-28 08:28:57,052 - mmseg - INFO - Iter [159750/160000] lr: 3.138e-08, eta: 0:01:02, time: 0.247, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1218, decode.acc_seg: 76.7885, aux.loss_ce: 0.0576, aux.acc_seg: 76.1339, loss: 0.1793 +2022-02-28 08:29:09,357 - mmseg - INFO - Iter [159800/160000] lr: 2.512e-08, eta: 0:00:49, time: 0.246, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1327, decode.acc_seg: 76.8379, aux.loss_ce: 0.0631, aux.acc_seg: 76.1501, loss: 0.1958 +2022-02-28 08:29:21,587 - mmseg - INFO - Iter [159850/160000] lr: 1.888e-08, eta: 0:00:37, time: 0.245, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1153, decode.acc_seg: 75.6046, aux.loss_ce: 0.0550, aux.acc_seg: 75.0060, loss: 0.1703 +2022-02-28 08:29:34,112 - mmseg - INFO - Iter [159900/160000] lr: 1.262e-08, eta: 0:00:24, time: 0.250, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1271, decode.acc_seg: 76.0608, aux.loss_ce: 0.0597, aux.acc_seg: 75.4842, loss: 0.1868 +2022-02-28 08:29:46,540 - mmseg - INFO - Iter [159950/160000] lr: 6.375e-09, eta: 0:00:12, time: 0.249, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1235, decode.acc_seg: 77.0313, aux.loss_ce: 0.0583, aux.acc_seg: 76.3804, loss: 0.1819 +2022-02-28 08:29:59,016 - mmseg - INFO - Saving checkpoint at 160000 iterations +2022-02-28 08:30:02,032 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 08:30:02,033 - mmseg - INFO - Iter [160000/160000] lr: 1.250e-10, eta: 0:00:00, time: 0.310, data_time: 0.004, memory: 56778, decode.loss_ce: 0.1277, decode.acc_seg: 76.1168, aux.loss_ce: 0.0600, aux.acc_seg: 75.5203, loss: 0.1876 +2022-02-28 08:30:22,371 - mmseg - INFO - per class results: +2022-02-28 08:30:22,377 - mmseg - INFO - ++---------------------+-------+-------+ +| Class | IoU | Acc | ++---------------------+-------+-------+ +| wall | 78.23 | 89.35 | +| building | 83.08 | 93.3 | +| sky | 94.64 | 97.67 | +| floor | 81.46 | 91.26 | +| tree | 74.59 | 88.36 | +| ceiling | 83.75 | 92.7 | +| road | 84.52 | 91.04 | +| bed | 90.0 | 96.59 | +| windowpane | 63.25 | 78.84 | +| grass | 67.78 | 83.55 | +| cabinet | 62.81 | 74.1 | +| sidewalk | 69.38 | 83.53 | +| person | 82.39 | 93.41 | +| earth | 38.82 | 53.08 | +| door | 52.96 | 65.76 | +| table | 65.47 | 80.22 | +| mountain | 58.0 | 72.27 | +| plant | 49.58 | 61.38 | +| curtain | 75.42 | 86.65 | +| chair | 59.97 | 73.4 | +| car | 84.69 | 92.44 | +| water | 59.33 | 75.6 | +| painting | 75.67 | 88.0 | +| sofa | 69.84 | 84.73 | +| shelf | 43.47 | 61.52 | +| house | 48.09 | 55.82 | +| sea | 65.9 | 81.71 | +| mirror | 70.3 | 76.88 | +| rug | 63.49 | 72.83 | +| field | 32.23 | 44.89 | +| armchair | 45.01 | 64.44 | +| seat | 62.46 | 82.06 | +| fence | 47.97 | 62.89 | +| desk | 52.98 | 73.24 | +| rock | 36.98 | 57.36 | +| wardrobe | 51.26 | 68.72 | +| lamp | 66.61 | 77.94 | +| bathtub | 82.06 | 85.51 | +| railing | 34.23 | 45.09 | +| cushion | 60.35 | 74.54 | +| base | 32.35 | 44.52 | +| box | 27.02 | 34.52 | +| column | 43.14 | 53.01 | +| signboard | 35.54 | 49.87 | +| chest of drawers | 42.04 | 59.94 | +| counter | 31.9 | 40.23 | +| sand | 54.57 | 75.91 | +| sink | 76.19 | 82.3 | +| skyscraper | 52.12 | 66.15 | +| fireplace | 78.43 | 90.28 | +| refrigerator | 76.13 | 80.27 | +| grandstand | 43.23 | 76.55 | +| path | 27.46 | 36.02 | +| stairs | 26.71 | 31.65 | +| runway | 65.19 | 86.71 | +| case | 52.86 | 69.9 | +| pool table | 93.53 | 96.8 | +| pillow | 56.11 | 64.67 | +| screen door | 74.8 | 76.98 | +| stairway | 27.59 | 37.89 | +| river | 10.09 | 21.62 | +| bridge | 70.17 | 78.04 | +| bookcase | 48.43 | 65.0 | +| blind | 44.05 | 47.58 | +| coffee table | 66.87 | 82.05 | +| toilet | 86.99 | 90.63 | +| flower | 44.21 | 57.81 | +| book | 48.25 | 67.19 | +| hill | 14.41 | 22.69 | +| bench | 42.82 | 49.95 | +| countertop | 61.74 | 80.45 | +| stove | 79.2 | 84.19 | +| palm | 52.49 | 75.43 | +| kitchen island | 47.18 | 78.72 | +| computer | 72.41 | 83.16 | +| swivel chair | 43.26 | 57.38 | +| boat | 42.07 | 53.12 | +| bar | 29.3 | 33.93 | +| arcade machine | 29.1 | 30.95 | +| hovel | 60.96 | 63.96 | +| bus | 89.92 | 96.13 | +| towel | 71.41 | 80.47 | +| light | 56.55 | 65.21 | +| truck | 30.9 | 36.04 | +| tower | 10.79 | 16.73 | +| chandelier | 69.29 | 80.94 | +| awning | 29.95 | 33.22 | +| streetlight | 28.19 | 34.62 | +| booth | 49.8 | 57.51 | +| television receiver | 68.57 | 80.72 | +| airplane | 59.94 | 65.81 | +| dirt track | 2.22 | 12.62 | +| apparel | 39.61 | 53.19 | +| pole | 28.0 | 37.31 | +| land | 1.34 | 2.02 | +| bannister | 18.43 | 22.6 | +| escalator | 43.5 | 60.7 | +| ottoman | 55.5 | 66.39 | +| bottle | 37.13 | 57.29 | +| buffet | 36.73 | 40.48 | +| poster | 30.31 | 41.48 | +| stage | 20.6 | 26.53 | +| van | 41.22 | 58.28 | +| ship | 36.2 | 53.37 | +| fountain | 26.37 | 26.95 | +| conveyer belt | 76.88 | 87.49 | +| canopy | 36.13 | 46.33 | +| washer | 72.5 | 75.94 | +| plaything | 29.08 | 38.4 | +| swimming pool | 55.22 | 64.16 | +| stool | 51.28 | 65.86 | +| barrel | 61.65 | 73.89 | +| basket | 39.05 | 52.41 | +| waterfall | 50.99 | 59.2 | +| tent | 90.84 | 98.31 | +| bag | 17.74 | 21.49 | +| minibike | 69.01 | 84.47 | +| cradle | 84.99 | 97.4 | +| oven | 54.56 | 68.03 | +| ball | 50.1 | 66.22 | +| food | 48.69 | 57.38 | +| step | 8.09 | 9.13 | +| tank | 49.93 | 51.12 | +| trade name | 22.63 | 25.69 | +| microwave | 80.8 | 88.07 | +| pot | 45.52 | 51.73 | +| animal | 57.04 | 59.22 | +| bicycle | 58.11 | 78.67 | +| lake | 58.88 | 63.74 | +| dishwasher | 69.85 | 74.94 | +| screen | 58.0 | 73.81 | +| blanket | 15.78 | 19.64 | +| sculpture | 72.73 | 86.43 | +| hood | 61.65 | 69.59 | +| sconce | 53.18 | 64.55 | +| vase | 44.49 | 61.05 | +| traffic light | 33.01 | 51.57 | +| tray | 12.02 | 16.62 | +| ashcan | 44.54 | 58.01 | +| fan | 67.02 | 78.29 | +| pier | 53.08 | 63.07 | +| crt screen | 17.24 | 24.73 | +| plate | 52.76 | 73.72 | +| monitor | 54.43 | 75.83 | +| bulletin board | 34.55 | 41.54 | +| shower | 5.11 | 7.89 | +| radiator | 64.14 | 70.65 | +| glass | 13.9 | 15.2 | +| clock | 33.99 | 39.56 | +| flag | 57.0 | 63.05 | ++---------------------+-------+-------+ +2022-02-28 08:30:22,378 - mmseg - INFO - Summary: +2022-02-28 08:30:22,378 - mmseg - INFO - ++-------+-------+-------+ +| aAcc | mIoU | mAcc | ++-------+-------+-------+ +| 83.94 | 51.67 | 62.48 | ++-------+-------+-------+ +2022-02-28 08:30:22,383 - mmseg - INFO - Exp name: upernet_vit_base_22k_adptor_1113_512_ade20k_160k.py +2022-02-28 08:30:22,383 - mmseg - INFO - Iter(val) [250] aAcc: 0.8394, mIoU: 0.5167, mAcc: 0.6248, IoU.wall: 0.7823, IoU.building: 0.8308, IoU.sky: 0.9464, IoU.floor: 0.8146, IoU.tree: 0.7459, IoU.ceiling: 0.8375, IoU.road: 0.8452, IoU.bed : 0.9000, IoU.windowpane: 0.6325, IoU.grass: 0.6778, IoU.cabinet: 0.6281, IoU.sidewalk: 0.6938, IoU.person: 0.8239, IoU.earth: 0.3882, IoU.door: 0.5296, IoU.table: 0.6547, IoU.mountain: 0.5800, IoU.plant: 0.4958, IoU.curtain: 0.7542, IoU.chair: 0.5997, IoU.car: 0.8469, IoU.water: 0.5933, IoU.painting: 0.7567, IoU.sofa: 0.6984, IoU.shelf: 0.4347, IoU.house: 0.4809, IoU.sea: 0.6590, IoU.mirror: 0.7030, IoU.rug: 0.6349, IoU.field: 0.3223, IoU.armchair: 0.4501, IoU.seat: 0.6246, IoU.fence: 0.4797, IoU.desk: 0.5298, IoU.rock: 0.3698, IoU.wardrobe: 0.5126, IoU.lamp: 0.6661, IoU.bathtub: 0.8206, IoU.railing: 0.3423, IoU.cushion: 0.6035, IoU.base: 0.3235, IoU.box: 0.2702, IoU.column: 0.4314, IoU.signboard: 0.3554, IoU.chest of drawers: 0.4204, IoU.counter: 0.3190, IoU.sand: 0.5457, IoU.sink: 0.7619, IoU.skyscraper: 0.5212, IoU.fireplace: 0.7843, IoU.refrigerator: 0.7613, IoU.grandstand: 0.4323, IoU.path: 0.2746, IoU.stairs: 0.2671, IoU.runway: 0.6519, IoU.case: 0.5286, IoU.pool table: 0.9353, IoU.pillow: 0.5611, IoU.screen door: 0.7480, IoU.stairway: 0.2759, IoU.river: 0.1009, IoU.bridge: 0.7017, IoU.bookcase: 0.4843, IoU.blind: 0.4405, IoU.coffee table: 0.6687, IoU.toilet: 0.8699, IoU.flower: 0.4421, IoU.book: 0.4825, IoU.hill: 0.1441, IoU.bench: 0.4282, IoU.countertop: 0.6174, IoU.stove: 0.7920, IoU.palm: 0.5249, IoU.kitchen island: 0.4718, IoU.computer: 0.7241, IoU.swivel chair: 0.4326, IoU.boat: 0.4207, IoU.bar: 0.2930, IoU.arcade machine: 0.2910, IoU.hovel: 0.6096, IoU.bus: 0.8992, IoU.towel: 0.7141, IoU.light: 0.5655, IoU.truck: 0.3090, IoU.tower: 0.1079, IoU.chandelier: 0.6929, IoU.awning: 0.2995, IoU.streetlight: 0.2819, IoU.booth: 0.4980, IoU.television receiver: 0.6857, IoU.airplane: 0.5994, IoU.dirt track: 0.0222, IoU.apparel: 0.3961, IoU.pole: 0.2800, IoU.land: 0.0134, IoU.bannister: 0.1843, IoU.escalator: 0.4350, IoU.ottoman: 0.5550, IoU.bottle: 0.3713, IoU.buffet: 0.3673, IoU.poster: 0.3031, IoU.stage: 0.2060, IoU.van: 0.4122, IoU.ship: 0.3620, IoU.fountain: 0.2637, IoU.conveyer belt: 0.7688, IoU.canopy: 0.3613, IoU.washer: 0.7250, IoU.plaything: 0.2908, IoU.swimming pool: 0.5522, IoU.stool: 0.5128, IoU.barrel: 0.6165, IoU.basket: 0.3905, IoU.waterfall: 0.5099, IoU.tent: 0.9084, IoU.bag: 0.1774, IoU.minibike: 0.6901, IoU.cradle: 0.8499, IoU.oven: 0.5456, IoU.ball: 0.5010, IoU.food: 0.4869, IoU.step: 0.0809, IoU.tank: 0.4993, IoU.trade name: 0.2263, IoU.microwave: 0.8080, IoU.pot: 0.4552, IoU.animal: 0.5704, IoU.bicycle: 0.5811, IoU.lake: 0.5888, IoU.dishwasher: 0.6985, IoU.screen: 0.5800, IoU.blanket: 0.1578, IoU.sculpture: 0.7273, IoU.hood: 0.6165, IoU.sconce: 0.5318, IoU.vase: 0.4449, IoU.traffic light: 0.3301, IoU.tray: 0.1202, IoU.ashcan: 0.4454, IoU.fan: 0.6702, IoU.pier: 0.5308, IoU.crt screen: 0.1724, IoU.plate: 0.5276, IoU.monitor: 0.5443, IoU.bulletin board: 0.3455, IoU.shower: 0.0511, IoU.radiator: 0.6414, IoU.glass: 0.1390, IoU.clock: 0.3399, IoU.flag: 0.5700, Acc.wall: 0.8935, Acc.building: 0.9330, Acc.sky: 0.9767, Acc.floor: 0.9126, Acc.tree: 0.8836, Acc.ceiling: 0.9270, Acc.road: 0.9104, Acc.bed : 0.9659, Acc.windowpane: 0.7884, Acc.grass: 0.8355, Acc.cabinet: 0.7410, Acc.sidewalk: 0.8353, Acc.person: 0.9341, Acc.earth: 0.5308, Acc.door: 0.6576, Acc.table: 0.8022, Acc.mountain: 0.7227, Acc.plant: 0.6138, Acc.curtain: 0.8665, Acc.chair: 0.7340, Acc.car: 0.9244, Acc.water: 0.7560, Acc.painting: 0.8800, Acc.sofa: 0.8473, Acc.shelf: 0.6152, Acc.house: 0.5582, Acc.sea: 0.8171, Acc.mirror: 0.7688, Acc.rug: 0.7283, Acc.field: 0.4489, Acc.armchair: 0.6444, Acc.seat: 0.8206, Acc.fence: 0.6289, Acc.desk: 0.7324, Acc.rock: 0.5736, Acc.wardrobe: 0.6872, Acc.lamp: 0.7794, Acc.bathtub: 0.8551, Acc.railing: 0.4509, Acc.cushion: 0.7454, Acc.base: 0.4452, Acc.box: 0.3452, Acc.column: 0.5301, Acc.signboard: 0.4987, Acc.chest of drawers: 0.5994, Acc.counter: 0.4023, Acc.sand: 0.7591, Acc.sink: 0.8230, Acc.skyscraper: 0.6615, Acc.fireplace: 0.9028, Acc.refrigerator: 0.8027, Acc.grandstand: 0.7655, Acc.path: 0.3602, Acc.stairs: 0.3165, Acc.runway: 0.8671, Acc.case: 0.6990, Acc.pool table: 0.9680, Acc.pillow: 0.6467, Acc.screen door: 0.7698, Acc.stairway: 0.3789, Acc.river: 0.2162, Acc.bridge: 0.7804, Acc.bookcase: 0.6500, Acc.blind: 0.4758, Acc.coffee table: 0.8205, Acc.toilet: 0.9063, Acc.flower: 0.5781, Acc.book: 0.6719, Acc.hill: 0.2269, Acc.bench: 0.4995, Acc.countertop: 0.8045, Acc.stove: 0.8419, Acc.palm: 0.7543, Acc.kitchen island: 0.7872, Acc.computer: 0.8316, Acc.swivel chair: 0.5738, Acc.boat: 0.5312, Acc.bar: 0.3393, Acc.arcade machine: 0.3095, Acc.hovel: 0.6396, Acc.bus: 0.9613, Acc.towel: 0.8047, Acc.light: 0.6521, Acc.truck: 0.3604, Acc.tower: 0.1673, Acc.chandelier: 0.8094, Acc.awning: 0.3322, Acc.streetlight: 0.3462, Acc.booth: 0.5751, Acc.television receiver: 0.8072, Acc.airplane: 0.6581, Acc.dirt track: 0.1262, Acc.apparel: 0.5319, Acc.pole: 0.3731, Acc.land: 0.0202, Acc.bannister: 0.2260, Acc.escalator: 0.6070, Acc.ottoman: 0.6639, Acc.bottle: 0.5729, Acc.buffet: 0.4048, Acc.poster: 0.4148, Acc.stage: 0.2653, Acc.van: 0.5828, Acc.ship: 0.5337, Acc.fountain: 0.2695, Acc.conveyer belt: 0.8749, Acc.canopy: 0.4633, Acc.washer: 0.7594, Acc.plaything: 0.3840, Acc.swimming pool: 0.6416, Acc.stool: 0.6586, Acc.barrel: 0.7389, Acc.basket: 0.5241, Acc.waterfall: 0.5920, Acc.tent: 0.9831, Acc.bag: 0.2149, Acc.minibike: 0.8447, Acc.cradle: 0.9740, Acc.oven: 0.6803, Acc.ball: 0.6622, Acc.food: 0.5738, Acc.step: 0.0913, Acc.tank: 0.5112, Acc.trade name: 0.2569, Acc.microwave: 0.8807, Acc.pot: 0.5173, Acc.animal: 0.5922, Acc.bicycle: 0.7867, Acc.lake: 0.6374, Acc.dishwasher: 0.7494, Acc.screen: 0.7381, Acc.blanket: 0.1964, Acc.sculpture: 0.8643, Acc.hood: 0.6959, Acc.sconce: 0.6455, Acc.vase: 0.6105, Acc.traffic light: 0.5157, Acc.tray: 0.1662, Acc.ashcan: 0.5801, Acc.fan: 0.7829, Acc.pier: 0.6307, Acc.crt screen: 0.2473, Acc.plate: 0.7372, Acc.monitor: 0.7583, Acc.bulletin board: 0.4154, Acc.shower: 0.0789, Acc.radiator: 0.7065, Acc.glass: 0.1520, Acc.clock: 0.3956, Acc.flag: 0.6305