20221104_101711.log

2022-11-04 10:17:11,924 - mmseg - INFO - Multi-processing start method is `None`
2022-11-04 10:17:11,925 - mmseg - INFO - OpenCV num_threads is `184
2022-11-04 10:17:11,925 - mmseg - INFO - OMP num threads is 1
2022-11-04 10:17:11,969 - mmseg - INFO - Environment info:
------------------------------------------------------------
sys.platform: linux
Python: 3.9.5 (default, Jun  4 2021, 12:28:51) [GCC 7.5.0]
CUDA available: True
GPU 0,1,2,3,4,5,6,7: A100-SXM4-40GB
CUDA_HOME: /usr/local/cuda
NVCC: Cuda compilation tools, release 11.0, V11.0.221
GCC: gcc (GCC) 7.3.1 20180303 (Red Hat 7.3.1-5)
PyTorch: 1.10.1+cu113
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 v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740)
  - OpenMP 201511 (a.k.a. OpenMP 4.5)
  - LAPACK is enabled (usually provided by MKL)
  - NNPACK is enabled
  - CPU capability usage: AVX2
  - CUDA Runtime 11.3
  - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_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 8.2
  - Magma 2.5.2
  - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-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=1.10.1, 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: 0.11.2+cu113
OpenCV: 4.5.4
MMCV: 1.6.2
MMCV Compiler: GCC 9.3
MMCV CUDA Compiler: 11.3
MMSegmentation: 0.28.0+
------------------------------------------------------------

2022-11-04 10:17:11,969 - mmseg - INFO - Distributed training: True
2022-11-04 10:17:12,275 - mmseg - INFO - Config:
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
    type='EncoderDecoder',
    backbone=dict(
        type='MetaMobile',
        depths=[2, 2, 8, 3],
        stem_dim=24,
        embed_dims=[32, 48, 80, 168],
        exp_ratios=[2.0, 2.5, 3.0, 3.5],
        norm_layers=['bn_2d', 'bn_2d', 'ln_2d', 'ln_2d'],
        act_layers=['silu', 'silu', 'gelu', 'gelu'],
        dw_kss=[3, 3, 5, 5],
        group_size=1,
        se_ratios=[0.0, 0.0, 0.0, 0.0],
        dim_heads=[16, 16, 20, 21],
        window_sizes=[7, 7, 7, 7],
        attn_ss=[False, False, True, True],
        attn_s_skips=[False, False, False, False],
        qkv_bias=True,
        attn_drop=0.0,
        drop=0.0,
        drop_path=0.04036,
        v_group=False,
        attn_pre=True,
        conv_l=True,
        skip_l=True,
        pre_dim=0,
        sync_bn=True,
        out_indices=(1, 2, 3, 4),
        pretrained='../../ckpt_models/MetaMobile_1M/net_E.pth',
        frozen_stages=-1,
        norm_eval=False),
    decode_head=dict(
        type='PSPHead',
        in_channels=168,
        in_index=3,
        channels=256,
        pool_scales=(1, 2, 3, 6),
        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=80,
        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='whole'))
dataset_type = 'ADE20KDataset'
data_root = 'data/ade/ADEChallengeData2016'
img_norm_cfg = dict(
    mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
crop_size = (512, 512)
train_pipeline = [
    dict(type='LoadImageFromFile'),
    dict(type='LoadAnnotations', reduce_zero_label=True),
    dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),
    dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),
    dict(type='RandomFlip', prob=0.5),
    dict(type='PhotoMetricDistortion'),
    dict(
        type='Normalize',
        mean=[123.675, 116.28, 103.53],
        std=[58.395, 57.12, 57.375],
        to_rgb=True),
    dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=255),
    dict(type='DefaultFormatBundle'),
    dict(type='Collect', keys=['img', 'gt_semantic_seg'])
]
test_pipeline = [
    dict(type='LoadImageFromFile'),
    dict(
        type='MultiScaleFlipAug',
        img_scale=(2048, 512),
        flip=False,
        transforms=[
            dict(type='Resize', keep_ratio=True),
            dict(type='RandomFlip'),
            dict(
                type='Normalize',
                mean=[123.675, 116.28, 103.53],
                std=[58.395, 57.12, 57.375],
                to_rgb=True),
            dict(type='ImageToTensor', keys=['img']),
            dict(type='Collect', keys=['img'])
        ])
]
data = dict(
    samples_per_gpu=4,
    workers_per_gpu=4,
    train=dict(
        type='ADE20KDataset',
        data_root='data/ade/ADEChallengeData2016',
        img_dir='images/training',
        ann_dir='annotations/training',
        pipeline=[
            dict(type='LoadImageFromFile'),
            dict(type='LoadAnnotations', reduce_zero_label=True),
            dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),
            dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),
            dict(type='RandomFlip', prob=0.5),
            dict(type='PhotoMetricDistortion'),
            dict(
                type='Normalize',
                mean=[123.675, 116.28, 103.53],
                std=[58.395, 57.12, 57.375],
                to_rgb=True),
            dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=255),
            dict(type='DefaultFormatBundle'),
            dict(type='Collect', keys=['img', 'gt_semantic_seg'])
        ]),
    val=dict(
        type='ADE20KDataset',
        data_root='data/ade/ADEChallengeData2016',
        img_dir='images/validation',
        ann_dir='annotations/validation',
        pipeline=[
            dict(type='LoadImageFromFile'),
            dict(
                type='MultiScaleFlipAug',
                img_scale=(2048, 512),
                flip=False,
                transforms=[
                    dict(type='Resize', keep_ratio=True),
                    dict(type='RandomFlip'),
                    dict(
                        type='Normalize',
                        mean=[123.675, 116.28, 103.53],
                        std=[58.395, 57.12, 57.375],
                        to_rgb=True),
                    dict(type='ImageToTensor', keys=['img']),
                    dict(type='Collect', keys=['img'])
                ])
        ]),
    test=dict(
        type='ADE20KDataset',
        data_root='data/ade/ADEChallengeData2016',
        img_dir='images/validation',
        ann_dir='annotations/validation',
        pipeline=[
            dict(type='LoadImageFromFile'),
            dict(
                type='MultiScaleFlipAug',
                img_scale=(2048, 512),
                flip=False,
                transforms=[
                    dict(type='Resize', keep_ratio=True),
                    dict(type='RandomFlip'),
                    dict(
                        type='Normalize',
                        mean=[123.675, 116.28, 103.53],
                        std=[58.395, 57.12, 57.375],
                        to_rgb=True),
                    dict(type='ImageToTensor', keys=['img']),
                    dict(type='Collect', keys=['img'])
                ])
        ]))
log_config = dict(
    interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])
dist_params = dict(backend='nccl')
log_level = 'INFO'
load_from = None
resume_from = None
workflow = [('train', 1)]
cudnn_benchmark = True
optimizer_config = dict()
runner = dict(type='IterBasedRunner', max_iters=80000)
checkpoint_config = dict(by_epoch=False, interval=8000)
evaluation = dict(interval=8000, metric='mIoU', pre_eval=True)
bs_ratio = 1
optimizer = dict(
    type='AdamW',
    lr=0.00012,
    betas=(0.9, 0.999),
    weight_decay=0.01,
    paramwise_cfg=dict(
        custom_keys=dict(
            absolute_pos_embed=dict(decay_mult=0.0),
            relative_position_bias_table=dict(decay_mult=0.0),
            norm=dict(decay_mult=0.0))))
lr_config = dict(policy='poly', power=0.9, min_lr=0.0, by_epoch=False)
work_dir = './work_dirs/pspnet_metamobile1M_512x512_80k_ade20k_256'
gpu_ids = range(0, 8)
auto_resume = False

2022-11-04 10:17:21,476 - mmseg - INFO - Set random seed to 1838115326, deterministic: False
2022-11-04 10:17:21,639 - mmseg - INFO - initialize PSPHead with init_cfg {'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}}
2022-11-04 10:17:21,656 - mmseg - INFO - initialize FCNHead with init_cfg {'type': 'Normal', 'std': 0.01, 'override': {'name': 'conv_seg'}}
Name of parameter - Initialization information

backbone.stage0.0.convs.0.0.weight - torch.Size([24, 3, 3, 3]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage0.0.convs.0.0.bias - torch.Size([24]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage0.0.convs.0.1.weight - torch.Size([24]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage0.0.convs.0.1.bias - torch.Size([24]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage0.1.conv_local.conv.weight - torch.Size([24, 1, 3, 3]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage0.1.conv_local.norm.weight - torch.Size([24]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage0.1.conv_local.norm.bias - torch.Size([24]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage0.1.se.conv_reduce.weight - torch.Size([24, 24, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage0.1.se.conv_reduce.bias - torch.Size([24]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage0.1.se.conv_expand.weight - torch.Size([24, 24, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage0.1.se.conv_expand.bias - torch.Size([24]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage0.1.proj.conv.weight - torch.Size([24, 24, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage1.0.norm.weight - torch.Size([24]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage1.0.norm.bias - torch.Size([24]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage1.0.v.conv.weight - torch.Size([96, 24, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage1.0.v.conv.bias - torch.Size([96]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage1.0.conv_local.conv.weight - torch.Size([96, 1, 3, 3]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage1.0.conv_local.norm.weight - torch.Size([96]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage1.0.conv_local.norm.bias - torch.Size([96]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage1.0.proj.conv.weight - torch.Size([32, 96, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage1.1.norm.weight - torch.Size([32]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage1.1.norm.bias - torch.Size([32]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage1.1.v.conv.weight - torch.Size([64, 32, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage1.1.v.conv.bias - torch.Size([64]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage1.1.conv_local.conv.weight - torch.Size([64, 1, 3, 3]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage1.1.conv_local.norm.weight - torch.Size([64]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage1.1.conv_local.norm.bias - torch.Size([64]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage1.1.proj.conv.weight - torch.Size([32, 64, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage2.0.norm.weight - torch.Size([32]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage2.0.norm.bias - torch.Size([32]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage2.0.v.conv.weight - torch.Size([160, 32, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage2.0.v.conv.bias - torch.Size([160]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage2.0.conv_local.conv.weight - torch.Size([160, 1, 3, 3]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage2.0.conv_local.norm.weight - torch.Size([160]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage2.0.conv_local.norm.bias - torch.Size([160]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage2.0.proj.conv.weight - torch.Size([48, 160, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage2.1.norm.weight - torch.Size([48]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage2.1.norm.bias - torch.Size([48]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage2.1.v.conv.weight - torch.Size([120, 48, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage2.1.v.conv.bias - torch.Size([120]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage2.1.conv_local.conv.weight - torch.Size([120, 1, 3, 3]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage2.1.conv_local.norm.weight - torch.Size([120]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage2.1.conv_local.norm.bias - torch.Size([120]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage2.1.proj.conv.weight - torch.Size([48, 120, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.0.norm.norm.weight - torch.Size([48]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.0.norm.norm.bias - torch.Size([48]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.0.v.conv.weight - torch.Size([288, 48, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.0.v.conv.bias - torch.Size([288]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.0.conv_local.conv.weight - torch.Size([288, 1, 5, 5]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.0.conv_local.norm.weight - torch.Size([288]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.0.conv_local.norm.bias - torch.Size([288]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.0.proj.conv.weight - torch.Size([80, 288, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.1.norm.norm.weight - torch.Size([80]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.1.norm.norm.bias - torch.Size([80]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.1.qk.conv.weight - torch.Size([160, 80, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.1.qk.conv.bias - torch.Size([160]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.1.v.conv.weight - torch.Size([240, 80, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.1.v.conv.bias - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.1.conv_local.conv.weight - torch.Size([240, 1, 5, 5]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.1.conv_local.norm.weight - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.1.conv_local.norm.bias - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.1.proj.conv.weight - torch.Size([80, 240, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.2.norm.norm.weight - torch.Size([80]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.2.norm.norm.bias - torch.Size([80]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.2.qk.conv.weight - torch.Size([160, 80, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.2.qk.conv.bias - torch.Size([160]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.2.v.conv.weight - torch.Size([240, 80, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.2.v.conv.bias - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.2.conv_local.conv.weight - torch.Size([240, 1, 5, 5]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.2.conv_local.norm.weight - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.2.conv_local.norm.bias - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.2.proj.conv.weight - torch.Size([80, 240, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.3.norm.norm.weight - torch.Size([80]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.3.norm.norm.bias - torch.Size([80]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.3.qk.conv.weight - torch.Size([160, 80, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.3.qk.conv.bias - torch.Size([160]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.3.v.conv.weight - torch.Size([240, 80, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.3.v.conv.bias - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.3.conv_local.conv.weight - torch.Size([240, 1, 5, 5]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.3.conv_local.norm.weight - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.3.conv_local.norm.bias - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.3.proj.conv.weight - torch.Size([80, 240, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.4.norm.norm.weight - torch.Size([80]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.4.norm.norm.bias - torch.Size([80]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.4.qk.conv.weight - torch.Size([160, 80, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.4.qk.conv.bias - torch.Size([160]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.4.v.conv.weight - torch.Size([240, 80, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.4.v.conv.bias - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.4.conv_local.conv.weight - torch.Size([240, 1, 5, 5]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.4.conv_local.norm.weight - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.4.conv_local.norm.bias - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.4.proj.conv.weight - torch.Size([80, 240, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.5.norm.norm.weight - torch.Size([80]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.5.norm.norm.bias - torch.Size([80]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.5.qk.conv.weight - torch.Size([160, 80, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.5.qk.conv.bias - torch.Size([160]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.5.v.conv.weight - torch.Size([240, 80, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.5.v.conv.bias - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.5.conv_local.conv.weight - torch.Size([240, 1, 5, 5]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.5.conv_local.norm.weight - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.5.conv_local.norm.bias - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.5.proj.conv.weight - torch.Size([80, 240, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.6.norm.norm.weight - torch.Size([80]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.6.norm.norm.bias - torch.Size([80]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.6.qk.conv.weight - torch.Size([160, 80, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.6.qk.conv.bias - torch.Size([160]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.6.v.conv.weight - torch.Size([240, 80, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.6.v.conv.bias - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.6.conv_local.conv.weight - torch.Size([240, 1, 5, 5]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.6.conv_local.norm.weight - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.6.conv_local.norm.bias - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.6.proj.conv.weight - torch.Size([80, 240, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.7.norm.norm.weight - torch.Size([80]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.7.norm.norm.bias - torch.Size([80]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.7.qk.conv.weight - torch.Size([160, 80, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.7.qk.conv.bias - torch.Size([160]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.7.v.conv.weight - torch.Size([240, 80, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.7.v.conv.bias - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.7.conv_local.conv.weight - torch.Size([240, 1, 5, 5]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.7.conv_local.norm.weight - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.7.conv_local.norm.bias - torch.Size([240]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage3.7.proj.conv.weight - torch.Size([80, 240, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.0.norm.norm.weight - torch.Size([80]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.0.norm.norm.bias - torch.Size([80]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.0.v.conv.weight - torch.Size([560, 80, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.0.v.conv.bias - torch.Size([560]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.0.conv_local.conv.weight - torch.Size([560, 1, 5, 5]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.0.conv_local.norm.weight - torch.Size([560]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.0.conv_local.norm.bias - torch.Size([560]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.0.proj.conv.weight - torch.Size([168, 560, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.1.norm.norm.weight - torch.Size([168]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.1.norm.norm.bias - torch.Size([168]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.1.qk.conv.weight - torch.Size([336, 168, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.1.qk.conv.bias - torch.Size([336]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.1.v.conv.weight - torch.Size([588, 168, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.1.v.conv.bias - torch.Size([588]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.1.conv_local.conv.weight - torch.Size([588, 1, 5, 5]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.1.conv_local.norm.weight - torch.Size([588]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.1.conv_local.norm.bias - torch.Size([588]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.1.proj.conv.weight - torch.Size([168, 588, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.2.norm.norm.weight - torch.Size([168]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.2.norm.norm.bias - torch.Size([168]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.2.qk.conv.weight - torch.Size([336, 168, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.2.qk.conv.bias - torch.Size([336]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.2.v.conv.weight - torch.Size([588, 168, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.2.v.conv.bias - torch.Size([588]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.2.conv_local.conv.weight - torch.Size([588, 1, 5, 5]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.2.conv_local.norm.weight - torch.Size([588]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.2.conv_local.norm.bias - torch.Size([588]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

backbone.stage4.2.proj.conv.weight - torch.Size([168, 588, 1, 1]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

decode_head.conv_seg.weight - torch.Size([150, 256, 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([256, 168, 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([256]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

decode_head.psp_modules.0.1.bn.bias - torch.Size([256]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

decode_head.psp_modules.1.1.conv.weight - torch.Size([256, 168, 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([256]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

decode_head.psp_modules.1.1.bn.bias - torch.Size([256]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

decode_head.psp_modules.2.1.conv.weight - torch.Size([256, 168, 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([256]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

decode_head.psp_modules.2.1.bn.bias - torch.Size([256]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

decode_head.psp_modules.3.1.conv.weight - torch.Size([256, 168, 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([256]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

decode_head.psp_modules.3.1.bn.bias - torch.Size([256]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

decode_head.bottleneck.conv.weight - torch.Size([256, 1192, 3, 3]): 
Initialized by user-defined `init_weights` in ConvModule  

decode_head.bottleneck.bn.weight - torch.Size([256]): 
The value is the same before and after calling `init_weights` of EncoderDecoder  

decode_head.bottleneck.bn.bias - torch.Size([256]): 
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, 80, 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  
2022-11-04 10:17:21,660 - mmseg - INFO - EncoderDecoder(
  (backbone): MetaMobile(
    (stage0): ModuleList(
      (0): MSPatchEmb(
        (convs): ModuleList(
          (0): Sequential(
            (0): Conv2d(3, 24, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1))
            (1): SyncBatchNorm(24, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
            (2): Identity()
          )
        )
      )
      (1): MetaMobileModule(
        (norm): Identity()
        (v): Identity()
        (conv_local): ConvNormAct(
          (conv): Conv2d(24, 24, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=24, bias=False)
          (norm): SyncBatchNorm(24, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
          (act): SiLU(inplace=True)
          (drop_path): Identity()
        )
        (se): SqueezeExcite(
          (conv_reduce): Conv2d(24, 24, kernel_size=(1, 1), stride=(1, 1))
          (act1): SiLU(inplace=True)
          (conv_expand): Conv2d(24, 24, kernel_size=(1, 1), stride=(1, 1))
          (gate): Sigmoid()
        )
        (proj_drop): Dropout(p=0.0, inplace=False)
        (proj): ConvNormAct(
          (conv): Conv2d(24, 24, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (ls): Identity()
        (drop_path): Identity()
      )
    )
    (stage1): ModuleList(
      (0): MetaMobileModule(
        (norm): SyncBatchNorm(24, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
        (v): ConvNormAct(
          (conv): Conv2d(24, 96, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): SiLU(inplace=True)
          (drop_path): Identity()
        )
        (conv_local): ConvNormAct(
          (conv): Conv2d(96, 96, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), groups=96, bias=False)
          (norm): SyncBatchNorm(96, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
          (act): SiLU(inplace=True)
          (drop_path): Identity()
        )
        (se): Identity()
        (proj_drop): Dropout(p=0.0, inplace=False)
        (proj): ConvNormAct(
          (conv): Conv2d(96, 32, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (ls): Identity()
        (drop_path): Identity()
      )
      (1): MetaMobileModule(
        (norm): SyncBatchNorm(32, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
        (v): ConvNormAct(
          (conv): Conv2d(32, 64, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): SiLU(inplace=True)
          (drop_path): Identity()
        )
        (conv_local): ConvNormAct(
          (conv): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=64, bias=False)
          (norm): SyncBatchNorm(64, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
          (act): SiLU(inplace=True)
          (drop_path): Identity()
        )
        (se): Identity()
        (proj_drop): Dropout(p=0.0, inplace=False)
        (proj): ConvNormAct(
          (conv): Conv2d(64, 32, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (ls): Identity()
        (drop_path): DropPath(drop_prob=0.003)
      )
    )
    (stage2): ModuleList(
      (0): MetaMobileModule(
        (norm): SyncBatchNorm(32, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
        (v): ConvNormAct(
          (conv): Conv2d(32, 160, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): SiLU(inplace=True)
          (drop_path): Identity()
        )
        (conv_local): ConvNormAct(
          (conv): Conv2d(160, 160, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), groups=160, bias=False)
          (norm): SyncBatchNorm(160, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
          (act): SiLU(inplace=True)
          (drop_path): Identity()
        )
        (se): Identity()
        (proj_drop): Dropout(p=0.0, inplace=False)
        (proj): ConvNormAct(
          (conv): Conv2d(160, 48, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (ls): Identity()
        (drop_path): DropPath(drop_prob=0.006)
      )
      (1): MetaMobileModule(
        (norm): SyncBatchNorm(48, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
        (v): ConvNormAct(
          (conv): Conv2d(48, 120, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): SiLU(inplace=True)
          (drop_path): Identity()
        )
        (conv_local): ConvNormAct(
          (conv): Conv2d(120, 120, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=120, bias=False)
          (norm): SyncBatchNorm(120, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
          (act): SiLU(inplace=True)
          (drop_path): Identity()
        )
        (se): Identity()
        (proj_drop): Dropout(p=0.0, inplace=False)
        (proj): ConvNormAct(
          (conv): Conv2d(120, 48, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (ls): Identity()
        (drop_path): DropPath(drop_prob=0.009)
      )
    )
    (stage3): ModuleList(
      (0): MetaMobileModule(
        (norm): LayerNorm2d(
          (norm): LayerNorm((48,), eps=1e-06, elementwise_affine=True)
        )
        (v): ConvNormAct(
          (conv): Conv2d(48, 288, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): GELU()
          (drop_path): Identity()
        )
        (conv_local): ConvNormAct(
          (conv): Conv2d(288, 288, kernel_size=(5, 5), stride=(2, 2), padding=(2, 2), groups=288, bias=False)
          (norm): SyncBatchNorm(288, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
          (act): SiLU(inplace=True)
          (drop_path): Identity()
        )
        (se): Identity()
        (proj_drop): Dropout(p=0.0, inplace=False)
        (proj): ConvNormAct(
          (conv): Conv2d(288, 80, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (ls): Identity()
        (drop_path): DropPath(drop_prob=0.012)
      )
      (1): MetaMobileModule(
        (norm): LayerNorm2d(
          (norm): LayerNorm((80,), eps=1e-06, elementwise_affine=True)
        )
        (qk): ConvNormAct(
          (conv): Conv2d(80, 160, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (v): ConvNormAct(
          (conv): Conv2d(80, 240, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): GELU()
          (drop_path): Identity()
        )
        (attn_drop): Dropout(p=0.0, inplace=False)
        (conv_local): ConvNormAct(
          (conv): Conv2d(240, 240, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), groups=240, bias=False)
          (norm): SyncBatchNorm(240, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
          (act): SiLU(inplace=True)
          (drop_path): Identity()
        )
        (se): Identity()
        (proj_drop): Dropout(p=0.0, inplace=False)
        (proj): ConvNormAct(
          (conv): Conv2d(240, 80, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (ls): Identity()
        (drop_path): DropPath(drop_prob=0.014)
      )
      (2): MetaMobileModule(
        (norm): LayerNorm2d(
          (norm): LayerNorm((80,), eps=1e-06, elementwise_affine=True)
        )
        (qk): ConvNormAct(
          (conv): Conv2d(80, 160, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (v): ConvNormAct(
          (conv): Conv2d(80, 240, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): GELU()
          (drop_path): Identity()
        )
        (attn_drop): Dropout(p=0.0, inplace=False)
        (conv_local): ConvNormAct(
          (conv): Conv2d(240, 240, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), groups=240, bias=False)
          (norm): SyncBatchNorm(240, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
          (act): SiLU(inplace=True)
          (drop_path): Identity()
        )
        (se): Identity()
        (proj_drop): Dropout(p=0.0, inplace=False)
        (proj): ConvNormAct(
          (conv): Conv2d(240, 80, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (ls): Identity()
        (drop_path): DropPath(drop_prob=0.017)
      )
      (3): MetaMobileModule(
        (norm): LayerNorm2d(
          (norm): LayerNorm((80,), eps=1e-06, elementwise_affine=True)
        )
        (qk): ConvNormAct(
          (conv): Conv2d(80, 160, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (v): ConvNormAct(
          (conv): Conv2d(80, 240, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): GELU()
          (drop_path): Identity()
        )
        (attn_drop): Dropout(p=0.0, inplace=False)
        (conv_local): ConvNormAct(
          (conv): Conv2d(240, 240, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), groups=240, bias=False)
          (norm): SyncBatchNorm(240, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
          (act): SiLU(inplace=True)
          (drop_path): Identity()
        )
        (se): Identity()
        (proj_drop): Dropout(p=0.0, inplace=False)
        (proj): ConvNormAct(
          (conv): Conv2d(240, 80, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (ls): Identity()
        (drop_path): DropPath(drop_prob=0.020)
      )
      (4): MetaMobileModule(
        (norm): LayerNorm2d(
          (norm): LayerNorm((80,), eps=1e-06, elementwise_affine=True)
        )
        (qk): ConvNormAct(
          (conv): Conv2d(80, 160, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (v): ConvNormAct(
          (conv): Conv2d(80, 240, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): GELU()
          (drop_path): Identity()
        )
        (attn_drop): Dropout(p=0.0, inplace=False)
        (conv_local): ConvNormAct(
          (conv): Conv2d(240, 240, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), groups=240, bias=False)
          (norm): SyncBatchNorm(240, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
          (act): SiLU(inplace=True)
          (drop_path): Identity()
        )
        (se): Identity()
        (proj_drop): Dropout(p=0.0, inplace=False)
        (proj): ConvNormAct(
          (conv): Conv2d(240, 80, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (ls): Identity()
        (drop_path): DropPath(drop_prob=0.023)
      )
      (5): MetaMobileModule(
        (norm): LayerNorm2d(
          (norm): LayerNorm((80,), eps=1e-06, elementwise_affine=True)
        )
        (qk): ConvNormAct(
          (conv): Conv2d(80, 160, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (v): ConvNormAct(
          (conv): Conv2d(80, 240, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): GELU()
          (drop_path): Identity()
        )
        (attn_drop): Dropout(p=0.0, inplace=False)
        (conv_local): ConvNormAct(
          (conv): Conv2d(240, 240, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), groups=240, bias=False)
          (norm): SyncBatchNorm(240, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
          (act): SiLU(inplace=True)
          (drop_path): Identity()
        )
        (se): Identity()
        (proj_drop): Dropout(p=0.0, inplace=False)
        (proj): ConvNormAct(
          (conv): Conv2d(240, 80, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (ls): Identity()
        (drop_path): DropPath(drop_prob=0.026)
      )
      (6): MetaMobileModule(
        (norm): LayerNorm2d(
          (norm): LayerNorm((80,), eps=1e-06, elementwise_affine=True)
        )
        (qk): ConvNormAct(
          (conv): Conv2d(80, 160, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (v): ConvNormAct(
          (conv): Conv2d(80, 240, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): GELU()
          (drop_path): Identity()
        )
        (attn_drop): Dropout(p=0.0, inplace=False)
        (conv_local): ConvNormAct(
          (conv): Conv2d(240, 240, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), groups=240, bias=False)
          (norm): SyncBatchNorm(240, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
          (act): SiLU(inplace=True)
          (drop_path): Identity()
        )
        (se): Identity()
        (proj_drop): Dropout(p=0.0, inplace=False)
        (proj): ConvNormAct(
          (conv): Conv2d(240, 80, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (ls): Identity()
        (drop_path): DropPath(drop_prob=0.029)
      )
      (7): MetaMobileModule(
        (norm): LayerNorm2d(
          (norm): LayerNorm((80,), eps=1e-06, elementwise_affine=True)
        )
        (qk): ConvNormAct(
          (conv): Conv2d(80, 160, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (v): ConvNormAct(
          (conv): Conv2d(80, 240, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): GELU()
          (drop_path): Identity()
        )
        (attn_drop): Dropout(p=0.0, inplace=False)
        (conv_local): ConvNormAct(
          (conv): Conv2d(240, 240, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), groups=240, bias=False)
          (norm): SyncBatchNorm(240, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
          (act): SiLU(inplace=True)
          (drop_path): Identity()
        )
        (se): Identity()
        (proj_drop): Dropout(p=0.0, inplace=False)
        (proj): ConvNormAct(
          (conv): Conv2d(240, 80, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (ls): Identity()
        (drop_path): DropPath(drop_prob=0.032)
      )
    )
    (stage4): ModuleList(
      (0): MetaMobileModule(
        (norm): LayerNorm2d(
          (norm): LayerNorm((80,), eps=1e-06, elementwise_affine=True)
        )
        (v): ConvNormAct(
          (conv): Conv2d(80, 560, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): GELU()
          (drop_path): Identity()
        )
        (conv_local): ConvNormAct(
          (conv): Conv2d(560, 560, kernel_size=(5, 5), stride=(2, 2), padding=(2, 2), groups=560, bias=False)
          (norm): SyncBatchNorm(560, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
          (act): SiLU(inplace=True)
          (drop_path): Identity()
        )
        (se): Identity()
        (proj_drop): Dropout(p=0.0, inplace=False)
        (proj): ConvNormAct(
          (conv): Conv2d(560, 168, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (ls): Identity()
        (drop_path): DropPath(drop_prob=0.035)
      )
      (1): MetaMobileModule(
        (norm): LayerNorm2d(
          (norm): LayerNorm((168,), eps=1e-06, elementwise_affine=True)
        )
        (qk): ConvNormAct(
          (conv): Conv2d(168, 336, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (v): ConvNormAct(
          (conv): Conv2d(168, 588, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): GELU()
          (drop_path): Identity()
        )
        (attn_drop): Dropout(p=0.0, inplace=False)
        (conv_local): ConvNormAct(
          (conv): Conv2d(588, 588, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), groups=588, bias=False)
          (norm): SyncBatchNorm(588, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
          (act): SiLU(inplace=True)
          (drop_path): Identity()
        )
        (se): Identity()
        (proj_drop): Dropout(p=0.0, inplace=False)
        (proj): ConvNormAct(
          (conv): Conv2d(588, 168, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (ls): Identity()
        (drop_path): DropPath(drop_prob=0.037)
      )
      (2): MetaMobileModule(
        (norm): LayerNorm2d(
          (norm): LayerNorm((168,), eps=1e-06, elementwise_affine=True)
        )
        (qk): ConvNormAct(
          (conv): Conv2d(168, 336, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (v): ConvNormAct(
          (conv): Conv2d(168, 588, kernel_size=(1, 1), stride=(1, 1))
          (norm): Identity()
          (act): GELU()
          (drop_path): Identity()
        )
        (attn_drop): Dropout(p=0.0, inplace=False)
        (conv_local): ConvNormAct(
          (conv): Conv2d(588, 588, kernel_size=(5, 5), stride=(1, 1), padding=(2, 2), groups=588, bias=False)
          (norm): SyncBatchNorm(588, eps=1e-06, momentum=0.1, affine=True, track_running_stats=True)
          (act): SiLU(inplace=True)
          (drop_path): Identity()
        )
        (se): Identity()
        (proj_drop): Dropout(p=0.0, inplace=False)
        (proj): ConvNormAct(
          (conv): Conv2d(588, 168, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (norm): Identity()
          (act): Identity()
          (drop_path): Identity()
        )
        (ls): Identity()
        (drop_path): DropPath(drop_prob=0.040)
      )
    )
  )
  (decode_head): PSPHead(
    input_transform=None, ignore_index=255, align_corners=False
    (loss_decode): CrossEntropyLoss(avg_non_ignore=False)
    (conv_seg): Conv2d(256, 150, kernel_size=(1, 1), stride=(1, 1))
    (dropout): Dropout2d(p=0.1, inplace=False)
    (psp_modules): PPM(
      (0): Sequential(
        (0): AdaptiveAvgPool2d(output_size=1)
        (1): ConvModule(
          (conv): Conv2d(168, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn): SyncBatchNorm(256, 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(168, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn): SyncBatchNorm(256, 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(168, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn): SyncBatchNorm(256, 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(168, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
          (bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
          (activate): ReLU(inplace=True)
        )
      )
    )
    (bottleneck): ConvModule(
      (conv): Conv2d(1192, 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'}}
  (auxiliary_head): FCNHead(
    input_transform=None, ignore_index=255, align_corners=False
    (loss_decode): CrossEntropyLoss(avg_non_ignore=False)
    (conv_seg): Conv2d(256, 150, kernel_size=(1, 1), stride=(1, 1))
    (dropout): Dropout2d(p=0.1, inplace=False)
    (convs): Sequential(
      (0): ConvModule(
        (conv): Conv2d(80, 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'}}
)
2022-11-04 10:17:22,090 - mmseg - INFO - Loaded 20210 images
2022-11-04 10:17:22,614 - mmseg - INFO - Loaded 2000 images
2022-11-04 10:17:22,614 - mmseg - INFO - Start running, host: root@ts-24bc22ede4d943828bdc7c9372494025-launcher, work_dir: /youtu_fuxi_team1_ceph/vtzhang/codes/pts_cls/down-stream-tasks/mmsegmentation/work_dirs/pspnet_metamobile1M_512x512_80k_ade20k_256
2022-11-04 10:17:22,615 - 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                     
 -------------------- 
2022-11-04 10:17:22,615 - mmseg - INFO - workflow: [('train', 1)], max: 80000 iters
2022-11-04 10:17:22,615 - mmseg - INFO - Checkpoints will be saved to /youtu_fuxi_team1_ceph/vtzhang/codes/pts_cls/down-stream-tasks/mmsegmentation/work_dirs/pspnet_metamobile1M_512x512_80k_ade20k_256 by HardDiskBackend.
2022-11-04 10:17:56,741 - mmseg - INFO - Iter [50/80000]	lr: 1.199e-04, eta: 9:56:38, time: 0.448, data_time: 0.011, memory: 4837, decode.loss_ce: 3.5682, decode.acc_seg: 31.0798, aux.loss_ce: 1.4790, aux.acc_seg: 21.0618, loss: 5.0472
2022-11-04 10:18:13,566 - mmseg - INFO - Iter [100/80000]	lr: 1.199e-04, eta: 8:42:11, time: 0.336, data_time: 0.008, memory: 4837, decode.loss_ce: 2.7947, decode.acc_seg: 41.8203, aux.loss_ce: 1.1822, aux.acc_seg: 35.1839, loss: 3.9770
2022-11-04 10:18:31,372 - mmseg - INFO - Iter [150/80000]	lr: 1.198e-04, eta: 8:25:52, time: 0.356, data_time: 0.008, memory: 4837, decode.loss_ce: 2.3648, decode.acc_seg: 44.5022, aux.loss_ce: 1.0078, aux.acc_seg: 39.0500, loss: 3.3725
2022-11-04 10:18:49,327 - mmseg - INFO - Iter [200/80000]	lr: 1.197e-04, eta: 8:18:34, time: 0.359, data_time: 0.007, memory: 4837, decode.loss_ce: 2.1556, decode.acc_seg: 46.0042, aux.loss_ce: 0.9293, aux.acc_seg: 39.7811, loss: 3.0849
2022-11-04 10:19:06,671 - mmseg - INFO - Iter [250/80000]	lr: 1.197e-04, eta: 8:10:48, time: 0.347, data_time: 0.008, memory: 4837, decode.loss_ce: 2.0627, decode.acc_seg: 47.0054, aux.loss_ce: 0.9053, aux.acc_seg: 40.7160, loss: 2.9680
2022-11-04 10:19:23,114 - mmseg - INFO - Iter [300/80000]	lr: 1.196e-04, eta: 8:01:33, time: 0.329, data_time: 0.009, memory: 4837, decode.loss_ce: 1.9192, decode.acc_seg: 48.9269, aux.loss_ce: 0.8484, aux.acc_seg: 43.1498, loss: 2.7676
2022-11-04 10:19:39,480 - mmseg - INFO - Iter [350/80000]	lr: 1.195e-04, eta: 7:54:34, time: 0.327, data_time: 0.008, memory: 4837, decode.loss_ce: 1.8010, decode.acc_seg: 51.1955, aux.loss_ce: 0.7994, aux.acc_seg: 46.0999, loss: 2.6004
2022-11-04 10:19:55,710 - mmseg - INFO - Iter [400/80000]	lr: 1.195e-04, eta: 7:48:49, time: 0.325, data_time: 0.008, memory: 4837, decode.loss_ce: 1.7629, decode.acc_seg: 51.8099, aux.loss_ce: 0.7943, aux.acc_seg: 46.4601, loss: 2.5572
2022-11-04 10:20:12,401 - mmseg - INFO - Iter [450/80000]	lr: 1.194e-04, eta: 7:45:38, time: 0.334, data_time: 0.008, memory: 4837, decode.loss_ce: 1.6385, decode.acc_seg: 53.8082, aux.loss_ce: 0.7396, aux.acc_seg: 49.0912, loss: 2.3781
2022-11-04 10:20:28,855 - mmseg - INFO - Iter [500/80000]	lr: 1.193e-04, eta: 7:42:25, time: 0.329, data_time: 0.009, memory: 4837, decode.loss_ce: 1.5778, decode.acc_seg: 55.4367, aux.loss_ce: 0.7160, aux.acc_seg: 50.5746, loss: 2.2938
2022-11-04 10:20:45,149 - mmseg - INFO - Iter [550/80000]	lr: 1.193e-04, eta: 7:39:20, time: 0.326, data_time: 0.009, memory: 4837, decode.loss_ce: 1.6044, decode.acc_seg: 54.2730, aux.loss_ce: 0.7235, aux.acc_seg: 49.5658, loss: 2.3279
2022-11-04 10:21:01,744 - mmseg - INFO - Iter [600/80000]	lr: 1.192e-04, eta: 7:37:24, time: 0.332, data_time: 0.009, memory: 4837, decode.loss_ce: 1.5699, decode.acc_seg: 55.4884, aux.loss_ce: 0.7066, aux.acc_seg: 51.3911, loss: 2.2765
2022-11-04 10:21:21,094 - mmseg - INFO - Iter [650/80000]	lr: 1.191e-04, eta: 7:41:19, time: 0.387, data_time: 0.076, memory: 4837, decode.loss_ce: 1.5018, decode.acc_seg: 56.6949, aux.loss_ce: 0.6846, aux.acc_seg: 52.2909, loss: 2.1864
2022-11-04 10:21:37,346 - mmseg - INFO - Iter [700/80000]	lr: 1.191e-04, eta: 7:38:46, time: 0.325, data_time: 0.008, memory: 4837, decode.loss_ce: 1.5329, decode.acc_seg: 55.4757, aux.loss_ce: 0.6983, aux.acc_seg: 51.2703, loss: 2.2312
2022-11-04 10:21:53,699 - mmseg - INFO - Iter [750/80000]	lr: 1.190e-04, eta: 7:36:43, time: 0.327, data_time: 0.010, memory: 4837, decode.loss_ce: 1.4287, decode.acc_seg: 58.6792, aux.loss_ce: 0.6489, aux.acc_seg: 54.2554, loss: 2.0776
2022-11-04 10:22:10,034 - mmseg - INFO - Iter [800/80000]	lr: 1.189e-04, eta: 7:34:51, time: 0.327, data_time: 0.008, memory: 4837, decode.loss_ce: 1.4799, decode.acc_seg: 56.6545, aux.loss_ce: 0.6729, aux.acc_seg: 52.4737, loss: 2.1528
2022-11-04 10:22:26,336 - mmseg - INFO - Iter [850/80000]	lr: 1.189e-04, eta: 7:33:08, time: 0.326, data_time: 0.009, memory: 4837, decode.loss_ce: 1.3870, decode.acc_seg: 58.7832, aux.loss_ce: 0.6411, aux.acc_seg: 54.0484, loss: 2.0281
2022-11-04 10:22:42,729 - mmseg - INFO - Iter [900/80000]	lr: 1.188e-04, eta: 7:31:42, time: 0.328, data_time: 0.009, memory: 4837, decode.loss_ce: 1.4254, decode.acc_seg: 57.2267, aux.loss_ce: 0.6531, aux.acc_seg: 52.8486, loss: 2.0785
2022-11-04 10:22:59,138 - mmseg - INFO - Iter [950/80000]	lr: 1.187e-04, eta: 7:30:24, time: 0.328, data_time: 0.009, memory: 4837, decode.loss_ce: 1.3948, decode.acc_seg: 59.2651, aux.loss_ce: 0.6413, aux.acc_seg: 54.7621, loss: 2.0361
2022-11-04 10:23:15,380 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 10:23:15,380 - mmseg - INFO - Iter [1000/80000]	lr: 1.187e-04, eta: 7:29:00, time: 0.325, data_time: 0.009, memory: 4837, decode.loss_ce: 1.3443, decode.acc_seg: 59.1521, aux.loss_ce: 0.6203, aux.acc_seg: 54.8380, loss: 1.9646
2022-11-04 10:23:31,496 - mmseg - INFO - Iter [1050/80000]	lr: 1.186e-04, eta: 7:27:33, time: 0.322, data_time: 0.009, memory: 4837, decode.loss_ce: 1.3475, decode.acc_seg: 58.6455, aux.loss_ce: 0.6215, aux.acc_seg: 54.4564, loss: 1.9690
2022-11-04 10:23:47,762 - mmseg - INFO - Iter [1100/80000]	lr: 1.185e-04, eta: 7:26:22, time: 0.325, data_time: 0.009, memory: 4837, decode.loss_ce: 1.3216, decode.acc_seg: 59.4768, aux.loss_ce: 0.6164, aux.acc_seg: 54.7626, loss: 1.9380
2022-11-04 10:24:04,094 - mmseg - INFO - Iter [1150/80000]	lr: 1.184e-04, eta: 7:25:21, time: 0.327, data_time: 0.009, memory: 4837, decode.loss_ce: 1.3431, decode.acc_seg: 58.8452, aux.loss_ce: 0.6286, aux.acc_seg: 53.8902, loss: 1.9716
2022-11-04 10:24:20,249 - mmseg - INFO - Iter [1200/80000]	lr: 1.184e-04, eta: 7:24:13, time: 0.323, data_time: 0.009, memory: 4837, decode.loss_ce: 1.3123, decode.acc_seg: 59.5884, aux.loss_ce: 0.6059, aux.acc_seg: 55.3048, loss: 1.9181
2022-11-04 10:24:36,406 - mmseg - INFO - Iter [1250/80000]	lr: 1.183e-04, eta: 7:23:08, time: 0.323, data_time: 0.009, memory: 4837, decode.loss_ce: 1.2647, decode.acc_seg: 60.6808, aux.loss_ce: 0.5890, aux.acc_seg: 56.4875, loss: 1.8537
2022-11-04 10:24:55,690 - mmseg - INFO - Iter [1300/80000]	lr: 1.182e-04, eta: 7:25:17, time: 0.386, data_time: 0.060, memory: 4837, decode.loss_ce: 1.2896, decode.acc_seg: 60.5632, aux.loss_ce: 0.6063, aux.acc_seg: 56.0650, loss: 1.8959
2022-11-04 10:25:12,002 - mmseg - INFO - Iter [1350/80000]	lr: 1.182e-04, eta: 7:24:21, time: 0.326, data_time: 0.008, memory: 4837, decode.loss_ce: 1.2449, decode.acc_seg: 61.1910, aux.loss_ce: 0.5829, aux.acc_seg: 56.7679, loss: 1.8278
2022-11-04 10:25:28,517 - mmseg - INFO - Iter [1400/80000]	lr: 1.181e-04, eta: 7:23:40, time: 0.330, data_time: 0.009, memory: 4837, decode.loss_ce: 1.2697, decode.acc_seg: 60.9087, aux.loss_ce: 0.5944, aux.acc_seg: 56.5950, loss: 1.8641
2022-11-04 10:25:44,663 - mmseg - INFO - Iter [1450/80000]	lr: 1.180e-04, eta: 7:22:40, time: 0.323, data_time: 0.009, memory: 4837, decode.loss_ce: 1.2713, decode.acc_seg: 60.4829, aux.loss_ce: 0.6004, aux.acc_seg: 56.1940, loss: 1.8717
2022-11-04 10:26:01,191 - mmseg - INFO - Iter [1500/80000]	lr: 1.180e-04, eta: 7:22:03, time: 0.331, data_time: 0.009, memory: 4837, decode.loss_ce: 1.2439, decode.acc_seg: 61.3828, aux.loss_ce: 0.5917, aux.acc_seg: 56.6746, loss: 1.8356
2022-11-04 10:26:17,391 - mmseg - INFO - Iter [1550/80000]	lr: 1.179e-04, eta: 7:21:11, time: 0.324, data_time: 0.008, memory: 4837, decode.loss_ce: 1.2314, decode.acc_seg: 60.6441, aux.loss_ce: 0.5782, aux.acc_seg: 56.3338, loss: 1.8097
2022-11-04 10:26:33,769 - mmseg - INFO - Iter [1600/80000]	lr: 1.178e-04, eta: 7:20:30, time: 0.328, data_time: 0.009, memory: 4837, decode.loss_ce: 1.2192, decode.acc_seg: 61.5004, aux.loss_ce: 0.5791, aux.acc_seg: 56.8112, loss: 1.7983
2022-11-04 10:26:50,122 - mmseg - INFO - Iter [1650/80000]	lr: 1.178e-04, eta: 7:19:49, time: 0.327, data_time: 0.009, memory: 4837, decode.loss_ce: 1.2029, decode.acc_seg: 61.9220, aux.loss_ce: 0.5699, aux.acc_seg: 57.2972, loss: 1.7728
2022-11-04 10:27:06,379 - mmseg - INFO - Iter [1700/80000]	lr: 1.177e-04, eta: 7:19:06, time: 0.325, data_time: 0.009, memory: 4837, decode.loss_ce: 1.1967, decode.acc_seg: 61.9565, aux.loss_ce: 0.5686, aux.acc_seg: 57.4728, loss: 1.7654
2022-11-04 10:27:22,722 - mmseg - INFO - Iter [1750/80000]	lr: 1.176e-04, eta: 7:18:27, time: 0.327, data_time: 0.009, memory: 4837, decode.loss_ce: 1.1953, decode.acc_seg: 61.7214, aux.loss_ce: 0.5652, aux.acc_seg: 57.5138, loss: 1.7605
2022-11-04 10:27:39,074 - mmseg - INFO - Iter [1800/80000]	lr: 1.176e-04, eta: 7:17:51, time: 0.327, data_time: 0.009, memory: 4837, decode.loss_ce: 1.1704, decode.acc_seg: 62.3856, aux.loss_ce: 0.5640, aux.acc_seg: 57.2614, loss: 1.7344
2022-11-04 10:27:55,442 - mmseg - INFO - Iter [1850/80000]	lr: 1.175e-04, eta: 7:17:16, time: 0.327, data_time: 0.009, memory: 4837, decode.loss_ce: 1.1393, decode.acc_seg: 63.3679, aux.loss_ce: 0.5440, aux.acc_seg: 59.2116, loss: 1.6833
2022-11-04 10:28:14,585 - mmseg - INFO - Iter [1900/80000]	lr: 1.174e-04, eta: 7:18:36, time: 0.383, data_time: 0.066, memory: 4837, decode.loss_ce: 1.1542, decode.acc_seg: 62.7033, aux.loss_ce: 0.5533, aux.acc_seg: 58.1424, loss: 1.7075
2022-11-04 10:28:30,885 - mmseg - INFO - Iter [1950/80000]	lr: 1.174e-04, eta: 7:17:57, time: 0.326, data_time: 0.009, memory: 4837, decode.loss_ce: 1.1470, decode.acc_seg: 62.4668, aux.loss_ce: 0.5517, aux.acc_seg: 58.1288, loss: 1.6987
2022-11-04 10:28:47,256 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 10:28:47,256 - mmseg - INFO - Iter [2000/80000]	lr: 1.173e-04, eta: 7:17:22, time: 0.327, data_time: 0.009, memory: 4837, decode.loss_ce: 1.1383, decode.acc_seg: 63.0518, aux.loss_ce: 0.5502, aux.acc_seg: 58.3170, loss: 1.6885
2022-11-04 10:29:03,467 - mmseg - INFO - Iter [2050/80000]	lr: 1.172e-04, eta: 7:16:42, time: 0.324, data_time: 0.008, memory: 4837, decode.loss_ce: 1.1606, decode.acc_seg: 62.3865, aux.loss_ce: 0.5643, aux.acc_seg: 57.6571, loss: 1.7249
2022-11-04 10:29:19,888 - mmseg - INFO - Iter [2100/80000]	lr: 1.172e-04, eta: 7:16:11, time: 0.328, data_time: 0.009, memory: 4837, decode.loss_ce: 1.1522, decode.acc_seg: 62.9204, aux.loss_ce: 0.5560, aux.acc_seg: 58.0460, loss: 1.7082
2022-11-04 10:29:36,425 - mmseg - INFO - Iter [2150/80000]	lr: 1.171e-04, eta: 7:15:45, time: 0.331, data_time: 0.009, memory: 4837, decode.loss_ce: 1.1046, decode.acc_seg: 63.9290, aux.loss_ce: 0.5363, aux.acc_seg: 59.4996, loss: 1.6409
2022-11-04 10:29:52,514 - mmseg - INFO - Iter [2200/80000]	lr: 1.170e-04, eta: 7:15:03, time: 0.322, data_time: 0.008, memory: 4837, decode.loss_ce: 1.1224, decode.acc_seg: 63.9516, aux.loss_ce: 0.5436, aux.acc_seg: 58.5500, loss: 1.6660
2022-11-04 10:30:08,600 - mmseg - INFO - Iter [2250/80000]	lr: 1.170e-04, eta: 7:14:22, time: 0.322, data_time: 0.008, memory: 4837, decode.loss_ce: 1.1234, decode.acc_seg: 62.8899, aux.loss_ce: 0.5408, aux.acc_seg: 58.4631, loss: 1.6642
2022-11-04 10:30:24,860 - mmseg - INFO - Iter [2300/80000]	lr: 1.169e-04, eta: 7:13:48, time: 0.325, data_time: 0.009, memory: 4837, decode.loss_ce: 1.1173, decode.acc_seg: 62.9992, aux.loss_ce: 0.5445, aux.acc_seg: 58.4547, loss: 1.6618
2022-11-04 10:30:41,067 - mmseg - INFO - Iter [2350/80000]	lr: 1.168e-04, eta: 7:13:14, time: 0.324, data_time: 0.009, memory: 4837, decode.loss_ce: 1.0817, decode.acc_seg: 64.4042, aux.loss_ce: 0.5308, aux.acc_seg: 59.5297, loss: 1.6124
2022-11-04 10:30:57,366 - mmseg - INFO - Iter [2400/80000]	lr: 1.168e-04, eta: 7:12:43, time: 0.326, data_time: 0.009, memory: 4837, decode.loss_ce: 1.1126, decode.acc_seg: 63.5199, aux.loss_ce: 0.5390, aux.acc_seg: 59.0600, loss: 1.6516
2022-11-04 10:31:13,835 - mmseg - INFO - Iter [2450/80000]	lr: 1.167e-04, eta: 7:12:18, time: 0.329, data_time: 0.009, memory: 4837, decode.loss_ce: 1.0819, decode.acc_seg: 64.1962, aux.loss_ce: 0.5315, aux.acc_seg: 59.3011, loss: 1.6133
2022-11-04 10:31:30,268 - mmseg - INFO - Iter [2500/80000]	lr: 1.166e-04, eta: 7:11:52, time: 0.329, data_time: 0.008, memory: 4837, decode.loss_ce: 1.1284, decode.acc_seg: 63.5166, aux.loss_ce: 0.5519, aux.acc_seg: 58.3258, loss: 1.6803
2022-11-04 10:31:49,756 - mmseg - INFO - Iter [2550/80000]	lr: 1.166e-04, eta: 7:13:00, time: 0.390, data_time: 0.064, memory: 4837, decode.loss_ce: 1.0711, decode.acc_seg: 64.3901, aux.loss_ce: 0.5248, aux.acc_seg: 59.8967, loss: 1.5959
2022-11-04 10:32:06,065 - mmseg - INFO - Iter [2600/80000]	lr: 1.165e-04, eta: 7:12:29, time: 0.326, data_time: 0.009, memory: 4837, decode.loss_ce: 1.0163, decode.acc_seg: 65.9121, aux.loss_ce: 0.5001, aux.acc_seg: 61.0776, loss: 1.5164
2022-11-04 10:32:22,093 - mmseg - INFO - Iter [2650/80000]	lr: 1.164e-04, eta: 7:11:51, time: 0.321, data_time: 0.009, memory: 4837, decode.loss_ce: 1.0454, decode.acc_seg: 65.3447, aux.loss_ce: 0.5173, aux.acc_seg: 60.0089, loss: 1.5626
2022-11-04 10:32:38,078 - mmseg - INFO - Iter [2700/80000]	lr: 1.164e-04, eta: 7:11:12, time: 0.320, data_time: 0.009, memory: 4837, decode.loss_ce: 1.0459, decode.acc_seg: 66.1501, aux.loss_ce: 0.5181, aux.acc_seg: 60.7722, loss: 1.5640
2022-11-04 10:32:54,343 - mmseg - INFO - Iter [2750/80000]	lr: 1.163e-04, eta: 7:10:42, time: 0.325, data_time: 0.008, memory: 4837, decode.loss_ce: 1.0749, decode.acc_seg: 64.0553, aux.loss_ce: 0.5312, aux.acc_seg: 58.5274, loss: 1.6061
2022-11-04 10:33:10,504 - mmseg - INFO - Iter [2800/80000]	lr: 1.162e-04, eta: 7:10:10, time: 0.323, data_time: 0.009, memory: 4837, decode.loss_ce: 1.0631, decode.acc_seg: 65.1425, aux.loss_ce: 0.5308, aux.acc_seg: 59.9189, loss: 1.5939
2022-11-04 10:33:26,977 - mmseg - INFO - Iter [2850/80000]	lr: 1.161e-04, eta: 7:09:46, time: 0.329, data_time: 0.009, memory: 4837, decode.loss_ce: 1.0315, decode.acc_seg: 65.9084, aux.loss_ce: 0.5143, aux.acc_seg: 60.2162, loss: 1.5458
2022-11-04 10:33:43,406 - mmseg - INFO - Iter [2900/80000]	lr: 1.161e-04, eta: 7:09:22, time: 0.329, data_time: 0.009, memory: 4837, decode.loss_ce: 1.0156, decode.acc_seg: 65.3453, aux.loss_ce: 0.5141, aux.acc_seg: 59.8673, loss: 1.5298
2022-11-04 10:33:59,486 - mmseg - INFO - Iter [2950/80000]	lr: 1.160e-04, eta: 7:08:49, time: 0.322, data_time: 0.009, memory: 4837, decode.loss_ce: 1.0458, decode.acc_seg: 65.2870, aux.loss_ce: 0.5213, aux.acc_seg: 60.2811, loss: 1.5671
2022-11-04 10:34:15,856 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 10:34:15,857 - mmseg - INFO - Iter [3000/80000]	lr: 1.159e-04, eta: 7:08:24, time: 0.327, data_time: 0.010, memory: 4837, decode.loss_ce: 1.0335, decode.acc_seg: 64.6732, aux.loss_ce: 0.5092, aux.acc_seg: 59.5515, loss: 1.5427
2022-11-04 10:34:32,107 - mmseg - INFO - Iter [3050/80000]	lr: 1.159e-04, eta: 7:07:56, time: 0.325, data_time: 0.009, memory: 4837, decode.loss_ce: 1.0337, decode.acc_seg: 65.6657, aux.loss_ce: 0.5103, aux.acc_seg: 60.9297, loss: 1.5440
2022-11-04 10:34:48,572 - mmseg - INFO - Iter [3100/80000]	lr: 1.158e-04, eta: 7:07:34, time: 0.329, data_time: 0.009, memory: 4837, decode.loss_ce: 1.0535, decode.acc_seg: 64.1898, aux.loss_ce: 0.5194, aux.acc_seg: 58.9134, loss: 1.5729
2022-11-04 10:35:04,865 - mmseg - INFO - Iter [3150/80000]	lr: 1.157e-04, eta: 7:07:08, time: 0.326, data_time: 0.009, memory: 4837, decode.loss_ce: 1.0384, decode.acc_seg: 65.6096, aux.loss_ce: 0.5147, aux.acc_seg: 60.2580, loss: 1.5531
2022-11-04 10:35:24,264 - mmseg - INFO - Iter [3200/80000]	lr: 1.157e-04, eta: 7:07:57, time: 0.388, data_time: 0.071, memory: 4837, decode.loss_ce: 1.0003, decode.acc_seg: 66.0059, aux.loss_ce: 0.5046, aux.acc_seg: 60.3399, loss: 1.5050
2022-11-04 10:35:40,565 - mmseg - INFO - Iter [3250/80000]	lr: 1.156e-04, eta: 7:07:30, time: 0.326, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9907, decode.acc_seg: 66.5307, aux.loss_ce: 0.5023, aux.acc_seg: 60.7770, loss: 1.4930
2022-11-04 10:35:56,970 - mmseg - INFO - Iter [3300/80000]	lr: 1.155e-04, eta: 7:07:06, time: 0.328, data_time: 0.009, memory: 4837, decode.loss_ce: 1.0097, decode.acc_seg: 66.0483, aux.loss_ce: 0.5056, aux.acc_seg: 60.3550, loss: 1.5153
2022-11-04 10:36:13,197 - mmseg - INFO - Iter [3350/80000]	lr: 1.155e-04, eta: 7:06:39, time: 0.325, data_time: 0.009, memory: 4837, decode.loss_ce: 1.0061, decode.acc_seg: 66.1852, aux.loss_ce: 0.5052, aux.acc_seg: 60.5215, loss: 1.5113
2022-11-04 10:36:29,183 - mmseg - INFO - Iter [3400/80000]	lr: 1.154e-04, eta: 7:06:06, time: 0.320, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9798, decode.acc_seg: 67.0914, aux.loss_ce: 0.4899, aux.acc_seg: 61.2798, loss: 1.4696
2022-11-04 10:36:45,547 - mmseg - INFO - Iter [3450/80000]	lr: 1.153e-04, eta: 7:05:42, time: 0.327, data_time: 0.008, memory: 4837, decode.loss_ce: 1.0199, decode.acc_seg: 65.7735, aux.loss_ce: 0.5051, aux.acc_seg: 60.3791, loss: 1.5250
2022-11-04 10:37:01,768 - mmseg - INFO - Iter [3500/80000]	lr: 1.153e-04, eta: 7:05:15, time: 0.324, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9604, decode.acc_seg: 67.2078, aux.loss_ce: 0.4830, aux.acc_seg: 61.6831, loss: 1.4434
2022-11-04 10:37:18,259 - mmseg - INFO - Iter [3550/80000]	lr: 1.152e-04, eta: 7:04:54, time: 0.330, data_time: 0.009, memory: 4837, decode.loss_ce: 1.0156, decode.acc_seg: 65.5121, aux.loss_ce: 0.5075, aux.acc_seg: 60.2835, loss: 1.5231
2022-11-04 10:37:34,238 - mmseg - INFO - Iter [3600/80000]	lr: 1.151e-04, eta: 7:04:23, time: 0.320, data_time: 0.008, memory: 4837, decode.loss_ce: 0.9858, decode.acc_seg: 66.3073, aux.loss_ce: 0.4955, aux.acc_seg: 60.8630, loss: 1.4814
2022-11-04 10:37:50,460 - mmseg - INFO - Iter [3650/80000]	lr: 1.151e-04, eta: 7:03:57, time: 0.324, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9854, decode.acc_seg: 66.4961, aux.loss_ce: 0.4985, aux.acc_seg: 61.0046, loss: 1.4839
2022-11-04 10:38:06,675 - mmseg - INFO - Iter [3700/80000]	lr: 1.150e-04, eta: 7:03:31, time: 0.324, data_time: 0.008, memory: 4837, decode.loss_ce: 0.9566, decode.acc_seg: 67.2825, aux.loss_ce: 0.4801, aux.acc_seg: 61.9090, loss: 1.4367
2022-11-04 10:38:22,859 - mmseg - INFO - Iter [3750/80000]	lr: 1.149e-04, eta: 7:03:05, time: 0.324, data_time: 0.008, memory: 4837, decode.loss_ce: 1.0007, decode.acc_seg: 66.4219, aux.loss_ce: 0.5013, aux.acc_seg: 61.1744, loss: 1.5020
2022-11-04 10:38:42,159 - mmseg - INFO - Iter [3800/80000]	lr: 1.149e-04, eta: 7:03:42, time: 0.386, data_time: 0.071, memory: 4837, decode.loss_ce: 1.0037, decode.acc_seg: 66.8483, aux.loss_ce: 0.5036, aux.acc_seg: 60.8180, loss: 1.5073
2022-11-04 10:38:58,211 - mmseg - INFO - Iter [3850/80000]	lr: 1.148e-04, eta: 7:03:12, time: 0.321, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9236, decode.acc_seg: 67.6031, aux.loss_ce: 0.4681, aux.acc_seg: 61.9888, loss: 1.3918
2022-11-04 10:39:14,398 - mmseg - INFO - Iter [3900/80000]	lr: 1.147e-04, eta: 7:02:46, time: 0.324, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9542, decode.acc_seg: 66.8621, aux.loss_ce: 0.4865, aux.acc_seg: 60.9672, loss: 1.4407
2022-11-04 10:39:30,708 - mmseg - INFO - Iter [3950/80000]	lr: 1.147e-04, eta: 7:02:23, time: 0.326, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9606, decode.acc_seg: 67.4830, aux.loss_ce: 0.4916, aux.acc_seg: 61.6069, loss: 1.4522
2022-11-04 10:39:47,100 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 10:39:47,101 - mmseg - INFO - Iter [4000/80000]	lr: 1.146e-04, eta: 7:02:01, time: 0.328, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9631, decode.acc_seg: 66.7526, aux.loss_ce: 0.4837, aux.acc_seg: 61.3339, loss: 1.4468
2022-11-04 10:40:03,514 - mmseg - INFO - Iter [4050/80000]	lr: 1.145e-04, eta: 7:01:40, time: 0.328, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9982, decode.acc_seg: 65.9575, aux.loss_ce: 0.5078, aux.acc_seg: 59.6642, loss: 1.5060
2022-11-04 10:40:19,666 - mmseg - INFO - Iter [4100/80000]	lr: 1.145e-04, eta: 7:01:14, time: 0.323, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9599, decode.acc_seg: 67.0727, aux.loss_ce: 0.4926, aux.acc_seg: 61.4455, loss: 1.4524
2022-11-04 10:40:35,834 - mmseg - INFO - Iter [4150/80000]	lr: 1.144e-04, eta: 7:00:48, time: 0.323, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9480, decode.acc_seg: 67.3598, aux.loss_ce: 0.4776, aux.acc_seg: 61.9150, loss: 1.4256
2022-11-04 10:40:52,226 - mmseg - INFO - Iter [4200/80000]	lr: 1.143e-04, eta: 7:00:27, time: 0.328, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9396, decode.acc_seg: 67.5659, aux.loss_ce: 0.4807, aux.acc_seg: 61.6643, loss: 1.4202
2022-11-04 10:41:08,527 - mmseg - INFO - Iter [4250/80000]	lr: 1.142e-04, eta: 7:00:04, time: 0.326, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9303, decode.acc_seg: 67.5464, aux.loss_ce: 0.4730, aux.acc_seg: 62.0576, loss: 1.4033
2022-11-04 10:41:24,637 - mmseg - INFO - Iter [4300/80000]	lr: 1.142e-04, eta: 6:59:38, time: 0.322, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9660, decode.acc_seg: 66.6771, aux.loss_ce: 0.4984, aux.acc_seg: 60.0671, loss: 1.4644
2022-11-04 10:41:40,873 - mmseg - INFO - Iter [4350/80000]	lr: 1.141e-04, eta: 6:59:15, time: 0.325, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9456, decode.acc_seg: 68.0069, aux.loss_ce: 0.4792, aux.acc_seg: 62.3658, loss: 1.4248
2022-11-04 10:41:57,082 - mmseg - INFO - Iter [4400/80000]	lr: 1.140e-04, eta: 6:58:51, time: 0.324, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9295, decode.acc_seg: 67.9287, aux.loss_ce: 0.4742, aux.acc_seg: 61.9197, loss: 1.4037
2022-11-04 10:42:16,139 - mmseg - INFO - Iter [4450/80000]	lr: 1.140e-04, eta: 6:59:16, time: 0.381, data_time: 0.066, memory: 4837, decode.loss_ce: 0.9300, decode.acc_seg: 67.5953, aux.loss_ce: 0.4796, aux.acc_seg: 61.5931, loss: 1.4096
2022-11-04 10:42:32,308 - mmseg - INFO - Iter [4500/80000]	lr: 1.139e-04, eta: 6:58:51, time: 0.323, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9529, decode.acc_seg: 66.7215, aux.loss_ce: 0.4844, aux.acc_seg: 61.1545, loss: 1.4373
2022-11-04 10:42:48,460 - mmseg - INFO - Iter [4550/80000]	lr: 1.138e-04, eta: 6:58:26, time: 0.323, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9250, decode.acc_seg: 68.2417, aux.loss_ce: 0.4710, aux.acc_seg: 62.4022, loss: 1.3960
2022-11-04 10:43:04,829 - mmseg - INFO - Iter [4600/80000]	lr: 1.138e-04, eta: 6:58:05, time: 0.327, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9199, decode.acc_seg: 67.7797, aux.loss_ce: 0.4692, aux.acc_seg: 62.3638, loss: 1.3891
2022-11-04 10:43:21,084 - mmseg - INFO - Iter [4650/80000]	lr: 1.137e-04, eta: 6:57:42, time: 0.325, data_time: 0.008, memory: 4837, decode.loss_ce: 0.9322, decode.acc_seg: 68.1338, aux.loss_ce: 0.4813, aux.acc_seg: 61.5849, loss: 1.4135
2022-11-04 10:43:37,543 - mmseg - INFO - Iter [4700/80000]	lr: 1.136e-04, eta: 6:57:23, time: 0.329, data_time: 0.008, memory: 4837, decode.loss_ce: 0.9291, decode.acc_seg: 67.8274, aux.loss_ce: 0.4756, aux.acc_seg: 61.5855, loss: 1.4047
2022-11-04 10:43:54,160 - mmseg - INFO - Iter [4750/80000]	lr: 1.136e-04, eta: 6:57:06, time: 0.332, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9150, decode.acc_seg: 68.4747, aux.loss_ce: 0.4657, aux.acc_seg: 62.8022, loss: 1.3807
2022-11-04 10:44:10,443 - mmseg - INFO - Iter [4800/80000]	lr: 1.135e-04, eta: 6:56:44, time: 0.326, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9129, decode.acc_seg: 67.8852, aux.loss_ce: 0.4686, aux.acc_seg: 61.5679, loss: 1.3815
2022-11-04 10:44:26,670 - mmseg - INFO - Iter [4850/80000]	lr: 1.134e-04, eta: 6:56:21, time: 0.325, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9027, decode.acc_seg: 68.2698, aux.loss_ce: 0.4650, aux.acc_seg: 62.4315, loss: 1.3678
2022-11-04 10:44:42,760 - mmseg - INFO - Iter [4900/80000]	lr: 1.134e-04, eta: 6:55:57, time: 0.322, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8977, decode.acc_seg: 68.2169, aux.loss_ce: 0.4579, aux.acc_seg: 62.7598, loss: 1.3556
2022-11-04 10:44:59,009 - mmseg - INFO - Iter [4950/80000]	lr: 1.133e-04, eta: 6:55:34, time: 0.325, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9068, decode.acc_seg: 68.8948, aux.loss_ce: 0.4624, aux.acc_seg: 62.8405, loss: 1.3692
2022-11-04 10:45:15,236 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 10:45:15,236 - mmseg - INFO - Iter [5000/80000]	lr: 1.132e-04, eta: 6:55:12, time: 0.325, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9330, decode.acc_seg: 68.0242, aux.loss_ce: 0.4730, aux.acc_seg: 62.7005, loss: 1.4060
2022-11-04 10:45:34,212 - mmseg - INFO - Iter [5050/80000]	lr: 1.132e-04, eta: 6:55:30, time: 0.379, data_time: 0.063, memory: 4837, decode.loss_ce: 0.9285, decode.acc_seg: 68.2966, aux.loss_ce: 0.4767, aux.acc_seg: 62.2723, loss: 1.4051
2022-11-04 10:45:50,351 - mmseg - INFO - Iter [5100/80000]	lr: 1.131e-04, eta: 6:55:07, time: 0.323, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9000, decode.acc_seg: 68.7484, aux.loss_ce: 0.4679, aux.acc_seg: 62.2201, loss: 1.3679
2022-11-04 10:46:06,595 - mmseg - INFO - Iter [5150/80000]	lr: 1.130e-04, eta: 6:54:45, time: 0.325, data_time: 0.008, memory: 4837, decode.loss_ce: 0.8937, decode.acc_seg: 68.9915, aux.loss_ce: 0.4625, aux.acc_seg: 63.1651, loss: 1.3562
2022-11-04 10:46:22,824 - mmseg - INFO - Iter [5200/80000]	lr: 1.130e-04, eta: 6:54:22, time: 0.325, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9123, decode.acc_seg: 68.0769, aux.loss_ce: 0.4679, aux.acc_seg: 62.2091, loss: 1.3802
2022-11-04 10:46:39,231 - mmseg - INFO - Iter [5250/80000]	lr: 1.129e-04, eta: 6:54:03, time: 0.328, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9359, decode.acc_seg: 67.4325, aux.loss_ce: 0.4744, aux.acc_seg: 61.3792, loss: 1.4104
2022-11-04 10:46:55,436 - mmseg - INFO - Iter [5300/80000]	lr: 1.128e-04, eta: 6:53:40, time: 0.324, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9202, decode.acc_seg: 68.1804, aux.loss_ce: 0.4636, aux.acc_seg: 62.8767, loss: 1.3838
2022-11-04 10:47:11,798 - mmseg - INFO - Iter [5350/80000]	lr: 1.128e-04, eta: 6:53:20, time: 0.327, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9101, decode.acc_seg: 67.8311, aux.loss_ce: 0.4691, aux.acc_seg: 61.9076, loss: 1.3792
2022-11-04 10:47:27,971 - mmseg - INFO - Iter [5400/80000]	lr: 1.127e-04, eta: 6:52:57, time: 0.323, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8821, decode.acc_seg: 68.4952, aux.loss_ce: 0.4576, aux.acc_seg: 62.4858, loss: 1.3397
2022-11-04 10:47:44,014 - mmseg - INFO - Iter [5450/80000]	lr: 1.126e-04, eta: 6:52:33, time: 0.321, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8968, decode.acc_seg: 68.8286, aux.loss_ce: 0.4528, aux.acc_seg: 63.3905, loss: 1.3496
2022-11-04 10:48:00,238 - mmseg - INFO - Iter [5500/80000]	lr: 1.126e-04, eta: 6:52:11, time: 0.324, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8991, decode.acc_seg: 68.3893, aux.loss_ce: 0.4571, aux.acc_seg: 62.9771, loss: 1.3562
2022-11-04 10:48:16,451 - mmseg - INFO - Iter [5550/80000]	lr: 1.125e-04, eta: 6:51:49, time: 0.324, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9199, decode.acc_seg: 68.0545, aux.loss_ce: 0.4722, aux.acc_seg: 62.0140, loss: 1.3921
2022-11-04 10:48:32,797 - mmseg - INFO - Iter [5600/80000]	lr: 1.124e-04, eta: 6:51:30, time: 0.327, data_time: 0.008, memory: 4837, decode.loss_ce: 0.9004, decode.acc_seg: 69.0582, aux.loss_ce: 0.4688, aux.acc_seg: 62.4968, loss: 1.3692
2022-11-04 10:48:48,959 - mmseg - INFO - Iter [5650/80000]	lr: 1.123e-04, eta: 6:51:07, time: 0.323, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8924, decode.acc_seg: 68.7860, aux.loss_ce: 0.4625, aux.acc_seg: 62.6128, loss: 1.3549
2022-11-04 10:49:07,947 - mmseg - INFO - Iter [5700/80000]	lr: 1.123e-04, eta: 6:51:22, time: 0.380, data_time: 0.067, memory: 4837, decode.loss_ce: 0.8869, decode.acc_seg: 68.4277, aux.loss_ce: 0.4581, aux.acc_seg: 62.6166, loss: 1.3450
2022-11-04 10:49:24,268 - mmseg - INFO - Iter [5750/80000]	lr: 1.122e-04, eta: 6:51:02, time: 0.326, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8523, decode.acc_seg: 70.1370, aux.loss_ce: 0.4516, aux.acc_seg: 63.2705, loss: 1.3039
2022-11-04 10:49:40,571 - mmseg - INFO - Iter [5800/80000]	lr: 1.121e-04, eta: 6:50:41, time: 0.326, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8797, decode.acc_seg: 69.1825, aux.loss_ce: 0.4664, aux.acc_seg: 62.3474, loss: 1.3461
2022-11-04 10:49:56,906 - mmseg - INFO - Iter [5850/80000]	lr: 1.121e-04, eta: 6:50:21, time: 0.327, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8858, decode.acc_seg: 68.6965, aux.loss_ce: 0.4499, aux.acc_seg: 63.2288, loss: 1.3357
2022-11-04 10:50:13,209 - mmseg - INFO - Iter [5900/80000]	lr: 1.120e-04, eta: 6:50:01, time: 0.326, data_time: 0.009, memory: 4837, decode.loss_ce: 0.9022, decode.acc_seg: 68.3976, aux.loss_ce: 0.4694, aux.acc_seg: 61.8717, loss: 1.3716
2022-11-04 10:50:29,413 - mmseg - INFO - Iter [5950/80000]	lr: 1.119e-04, eta: 6:49:39, time: 0.324, data_time: 0.008, memory: 4837, decode.loss_ce: 0.8830, decode.acc_seg: 68.9597, aux.loss_ce: 0.4605, aux.acc_seg: 62.9174, loss: 1.3435
2022-11-04 10:50:45,535 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 10:50:45,536 - mmseg - INFO - Iter [6000/80000]	lr: 1.119e-04, eta: 6:49:17, time: 0.322, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8976, decode.acc_seg: 68.8924, aux.loss_ce: 0.4655, aux.acc_seg: 63.3171, loss: 1.3631
2022-11-04 10:51:01,722 - mmseg - INFO - Iter [6050/80000]	lr: 1.118e-04, eta: 6:48:55, time: 0.324, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8625, decode.acc_seg: 69.3994, aux.loss_ce: 0.4540, aux.acc_seg: 62.4871, loss: 1.3165
2022-11-04 10:51:17,825 - mmseg - INFO - Iter [6100/80000]	lr: 1.117e-04, eta: 6:48:33, time: 0.322, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8549, decode.acc_seg: 70.0478, aux.loss_ce: 0.4526, aux.acc_seg: 63.2279, loss: 1.3074
2022-11-04 10:51:34,190 - mmseg - INFO - Iter [6150/80000]	lr: 1.117e-04, eta: 6:48:13, time: 0.327, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8425, decode.acc_seg: 69.6438, aux.loss_ce: 0.4446, aux.acc_seg: 63.0122, loss: 1.2872
2022-11-04 10:51:50,572 - mmseg - INFO - Iter [6200/80000]	lr: 1.116e-04, eta: 6:47:54, time: 0.328, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8733, decode.acc_seg: 69.1524, aux.loss_ce: 0.4567, aux.acc_seg: 63.0777, loss: 1.3300
2022-11-04 10:52:06,905 - mmseg - INFO - Iter [6250/80000]	lr: 1.115e-04, eta: 6:47:35, time: 0.327, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8879, decode.acc_seg: 68.2720, aux.loss_ce: 0.4535, aux.acc_seg: 62.7664, loss: 1.3414
2022-11-04 10:52:23,323 - mmseg - INFO - Iter [6300/80000]	lr: 1.115e-04, eta: 6:47:16, time: 0.328, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8869, decode.acc_seg: 68.9306, aux.loss_ce: 0.4537, aux.acc_seg: 63.6995, loss: 1.3406
2022-11-04 10:52:42,589 - mmseg - INFO - Iter [6350/80000]	lr: 1.114e-04, eta: 6:47:31, time: 0.385, data_time: 0.060, memory: 4837, decode.loss_ce: 0.8545, decode.acc_seg: 69.5942, aux.loss_ce: 0.4482, aux.acc_seg: 63.5303, loss: 1.3027
2022-11-04 10:52:58,810 - mmseg - INFO - Iter [6400/80000]	lr: 1.113e-04, eta: 6:47:10, time: 0.324, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8405, decode.acc_seg: 70.0916, aux.loss_ce: 0.4389, aux.acc_seg: 63.7110, loss: 1.2794
2022-11-04 10:53:14,841 - mmseg - INFO - Iter [6450/80000]	lr: 1.113e-04, eta: 6:46:47, time: 0.321, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8529, decode.acc_seg: 69.4698, aux.loss_ce: 0.4436, aux.acc_seg: 63.5460, loss: 1.2966
2022-11-04 10:53:30,913 - mmseg - INFO - Iter [6500/80000]	lr: 1.112e-04, eta: 6:46:25, time: 0.321, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8640, decode.acc_seg: 69.3657, aux.loss_ce: 0.4463, aux.acc_seg: 63.3902, loss: 1.3102
2022-11-04 10:53:47,007 - mmseg - INFO - Iter [6550/80000]	lr: 1.111e-04, eta: 6:46:02, time: 0.322, data_time: 0.008, memory: 4837, decode.loss_ce: 0.8756, decode.acc_seg: 69.0788, aux.loss_ce: 0.4571, aux.acc_seg: 62.6384, loss: 1.3327
2022-11-04 10:54:03,223 - mmseg - INFO - Iter [6600/80000]	lr: 1.111e-04, eta: 6:45:42, time: 0.324, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8230, decode.acc_seg: 70.9283, aux.loss_ce: 0.4335, aux.acc_seg: 64.8169, loss: 1.2565
2022-11-04 10:54:19,354 - mmseg - INFO - Iter [6650/80000]	lr: 1.110e-04, eta: 6:45:20, time: 0.323, data_time: 0.008, memory: 4837, decode.loss_ce: 0.8289, decode.acc_seg: 70.1463, aux.loss_ce: 0.4396, aux.acc_seg: 63.5893, loss: 1.2685
2022-11-04 10:54:35,495 - mmseg - INFO - Iter [6700/80000]	lr: 1.109e-04, eta: 6:44:59, time: 0.323, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8381, decode.acc_seg: 70.8438, aux.loss_ce: 0.4406, aux.acc_seg: 64.5914, loss: 1.2787
2022-11-04 10:54:51,495 - mmseg - INFO - Iter [6750/80000]	lr: 1.108e-04, eta: 6:44:36, time: 0.320, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8526, decode.acc_seg: 69.3221, aux.loss_ce: 0.4448, aux.acc_seg: 63.4361, loss: 1.2974
2022-11-04 10:55:07,613 - mmseg - INFO - Iter [6800/80000]	lr: 1.108e-04, eta: 6:44:15, time: 0.322, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8466, decode.acc_seg: 70.2977, aux.loss_ce: 0.4482, aux.acc_seg: 63.5589, loss: 1.2948
2022-11-04 10:55:23,863 - mmseg - INFO - Iter [6850/80000]	lr: 1.107e-04, eta: 6:43:55, time: 0.325, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8742, decode.acc_seg: 69.6184, aux.loss_ce: 0.4505, aux.acc_seg: 63.3222, loss: 1.3247
2022-11-04 10:55:40,135 - mmseg - INFO - Iter [6900/80000]	lr: 1.106e-04, eta: 6:43:35, time: 0.325, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8718, decode.acc_seg: 69.5093, aux.loss_ce: 0.4593, aux.acc_seg: 62.9786, loss: 1.3312
2022-11-04 10:55:59,271 - mmseg - INFO - Iter [6950/80000]	lr: 1.106e-04, eta: 6:43:45, time: 0.383, data_time: 0.065, memory: 4837, decode.loss_ce: 0.8756, decode.acc_seg: 69.1466, aux.loss_ce: 0.4493, aux.acc_seg: 63.4999, loss: 1.3249
2022-11-04 10:56:15,588 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 10:56:15,589 - mmseg - INFO - Iter [7000/80000]	lr: 1.105e-04, eta: 6:43:26, time: 0.326, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8280, decode.acc_seg: 70.6859, aux.loss_ce: 0.4348, aux.acc_seg: 64.3988, loss: 1.2628
2022-11-04 10:56:31,939 - mmseg - INFO - Iter [7050/80000]	lr: 1.104e-04, eta: 6:43:07, time: 0.327, data_time: 0.008, memory: 4837, decode.loss_ce: 0.8534, decode.acc_seg: 69.7970, aux.loss_ce: 0.4517, aux.acc_seg: 62.8745, loss: 1.3051
2022-11-04 10:56:47,997 - mmseg - INFO - Iter [7100/80000]	lr: 1.104e-04, eta: 6:42:45, time: 0.321, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8301, decode.acc_seg: 70.5819, aux.loss_ce: 0.4362, aux.acc_seg: 64.2544, loss: 1.2663
2022-11-04 10:57:04,038 - mmseg - INFO - Iter [7150/80000]	lr: 1.103e-04, eta: 6:42:23, time: 0.321, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8435, decode.acc_seg: 69.9172, aux.loss_ce: 0.4422, aux.acc_seg: 63.3889, loss: 1.2856
2022-11-04 10:57:20,167 - mmseg - INFO - Iter [7200/80000]	lr: 1.102e-04, eta: 6:42:02, time: 0.322, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8506, decode.acc_seg: 69.8470, aux.loss_ce: 0.4469, aux.acc_seg: 63.7200, loss: 1.2975
2022-11-04 10:57:36,363 - mmseg - INFO - Iter [7250/80000]	lr: 1.102e-04, eta: 6:41:42, time: 0.324, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8430, decode.acc_seg: 69.4920, aux.loss_ce: 0.4460, aux.acc_seg: 62.8726, loss: 1.2891
2022-11-04 10:57:52,586 - mmseg - INFO - Iter [7300/80000]	lr: 1.101e-04, eta: 6:41:22, time: 0.324, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8584, decode.acc_seg: 69.2310, aux.loss_ce: 0.4355, aux.acc_seg: 63.7811, loss: 1.2939
2022-11-04 10:58:08,805 - mmseg - INFO - Iter [7350/80000]	lr: 1.100e-04, eta: 6:41:02, time: 0.324, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8498, decode.acc_seg: 69.8088, aux.loss_ce: 0.4456, aux.acc_seg: 63.6353, loss: 1.2955
2022-11-04 10:58:25,199 - mmseg - INFO - Iter [7400/80000]	lr: 1.100e-04, eta: 6:40:44, time: 0.328, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8316, decode.acc_seg: 70.3010, aux.loss_ce: 0.4349, aux.acc_seg: 63.9326, loss: 1.2665
2022-11-04 10:58:41,324 - mmseg - INFO - Iter [7450/80000]	lr: 1.099e-04, eta: 6:40:23, time: 0.322, data_time: 0.008, memory: 4837, decode.loss_ce: 0.8173, decode.acc_seg: 71.4089, aux.loss_ce: 0.4390, aux.acc_seg: 64.5449, loss: 1.2564
2022-11-04 10:58:57,871 - mmseg - INFO - Iter [7500/80000]	lr: 1.098e-04, eta: 6:40:06, time: 0.331, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8455, decode.acc_seg: 70.0423, aux.loss_ce: 0.4423, aux.acc_seg: 63.9853, loss: 1.2879
2022-11-04 10:59:14,153 - mmseg - INFO - Iter [7550/80000]	lr: 1.098e-04, eta: 6:39:47, time: 0.326, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8296, decode.acc_seg: 70.4843, aux.loss_ce: 0.4337, aux.acc_seg: 64.3661, loss: 1.2633
2022-11-04 10:59:33,382 - mmseg - INFO - Iter [7600/80000]	lr: 1.097e-04, eta: 6:39:56, time: 0.385, data_time: 0.062, memory: 4837, decode.loss_ce: 0.8542, decode.acc_seg: 69.8034, aux.loss_ce: 0.4491, aux.acc_seg: 63.3959, loss: 1.3033
2022-11-04 10:59:49,516 - mmseg - INFO - Iter [7650/80000]	lr: 1.096e-04, eta: 6:39:35, time: 0.323, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8142, decode.acc_seg: 71.0025, aux.loss_ce: 0.4365, aux.acc_seg: 64.4038, loss: 1.2507
2022-11-04 11:00:05,830 - mmseg - INFO - Iter [7700/80000]	lr: 1.096e-04, eta: 6:39:16, time: 0.326, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8187, decode.acc_seg: 70.7469, aux.loss_ce: 0.4352, aux.acc_seg: 64.0354, loss: 1.2540
2022-11-04 11:00:22,265 - mmseg - INFO - Iter [7750/80000]	lr: 1.095e-04, eta: 6:38:58, time: 0.329, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8261, decode.acc_seg: 70.8285, aux.loss_ce: 0.4347, aux.acc_seg: 64.0856, loss: 1.2608
2022-11-04 11:00:38,476 - mmseg - INFO - Iter [7800/80000]	lr: 1.094e-04, eta: 6:38:39, time: 0.324, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8269, decode.acc_seg: 70.5964, aux.loss_ce: 0.4298, aux.acc_seg: 64.3974, loss: 1.2567
2022-11-04 11:00:54,782 - mmseg - INFO - Iter [7850/80000]	lr: 1.093e-04, eta: 6:38:20, time: 0.326, data_time: 0.009, memory: 4837, decode.loss_ce: 0.8314, decode.acc_seg: 70.1186, aux.loss_ce: 0.4310, aux.acc_seg: 64.1851, loss: 1.2623
2022-11-04 11:01:11,012 - mmseg - INFO - Iter [7900/80000]	lr: 1.093e-04, eta: 6:38:00, time: 0.325, data_time: 0.008, memory: 4837, decode.loss_ce: 0.7809, decode.acc_seg: 71.9457, aux.loss_ce: 0.4091, aux.acc_seg: 66.0112, loss: 1.1900
2022-11-04 11:01:27,435 - mmseg - INFO - Iter [7950/80000]	lr: 1.092e-04, eta: 6:37:42, time: 0.328, data_time: 0.012, memory: 4837, decode.loss_ce: 0.8359, decode.acc_seg: 70.0297, aux.loss_ce: 0.4331, aux.acc_seg: 63.9055, loss: 1.2690
2022-11-04 11:01:44,438 - mmseg - INFO - Saving checkpoint at 8000 iterations
2022-11-04 11:01:44,583 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 11:01:44,583 - mmseg - INFO - Iter [8000/80000]	lr: 1.091e-04, eta: 6:37:31, time: 0.343, data_time: 0.022, memory: 4837, decode.loss_ce: 0.8188, decode.acc_seg: 70.3783, aux.loss_ce: 0.4356, aux.acc_seg: 64.1444, loss: 1.2544
2022-11-04 11:02:18,385 - mmseg - INFO - per class results:
2022-11-04 11:02:18,393 - mmseg - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 61.61 | 83.28 |
|       building      | 74.01 | 90.28 |
|         sky         | 89.37 | 95.12 |
|        floor        | 66.79 | 80.94 |
|         tree        | 63.21 | 82.55 |
|       ceiling       | 70.17 | 79.81 |
|         road        | 73.43 | 83.33 |
|         bed         | 64.47 | 91.42 |
|      windowpane     | 45.13 | 64.31 |
|        grass        | 62.81 | 81.16 |
|       cabinet       | 42.22 | 60.07 |
|       sidewalk      | 47.97 | 69.19 |
|        person       | 60.47 | 78.98 |
|        earth        | 25.87 | 33.92 |
|         door        | 18.77 | 23.51 |
|        table        | 28.56 | 41.18 |
|       mountain      | 47.73 | 64.18 |
|        plant        | 37.26 | 44.77 |
|       curtain       | 50.95 |  65.1 |
|        chair        | 30.55 | 48.58 |
|         car         | 66.72 | 82.23 |
|        water        | 34.35 | 46.24 |
|       painting      | 48.83 | 63.82 |
|         sofa        | 37.92 | 48.91 |
|        shelf        |  29.3 | 49.47 |
|        house        | 39.78 |  48.1 |
|         sea         | 51.97 |  86.1 |
|        mirror       | 28.21 | 40.82 |
|         rug         |  28.5 | 32.74 |
|        field        | 26.63 | 46.95 |
|       armchair      | 17.94 | 28.63 |
|         seat        | 38.39 | 64.35 |
|        fence        | 14.65 | 18.43 |
|         desk        | 18.65 | 27.28 |
|         rock        | 30.33 | 46.22 |
|       wardrobe      | 34.46 | 49.68 |
|         lamp        | 27.74 | 39.93 |
|       bathtub       |  41.9 | 57.27 |
|       railing       | 19.53 |  24.5 |
|       cushion       |  20.8 | 30.43 |
|         base        | 11.44 | 15.84 |
|         box         |  7.25 |  9.97 |
|        column       | 21.03 | 23.88 |
|      signboard      | 17.97 | 22.15 |
|   chest of drawers  | 25.62 | 46.81 |
|       counter       | 20.13 | 23.69 |
|         sand        | 21.72 |  36.9 |
|         sink        | 31.52 | 44.03 |
|      skyscraper     | 57.36 | 81.42 |
|      fireplace      | 39.42 | 66.28 |
|     refrigerator    | 26.21 | 32.98 |
|      grandstand     | 34.01 | 54.72 |
|         path        |  6.89 |  8.5  |
|        stairs       |  7.15 |  8.1  |
|        runway       | 74.29 | 90.77 |
|         case        | 36.22 | 60.96 |
|      pool table     |  74.8 | 89.95 |
|        pillow       | 21.72 | 29.18 |
|     screen door     |  35.8 |  43.6 |
|       stairway      | 14.49 | 26.14 |
|        river        |  4.2  | 11.51 |
|        bridge       | 16.66 | 23.98 |
|       bookcase      | 23.63 | 44.85 |
|        blind        |  3.58 |  3.63 |
|     coffee table    | 26.43 | 44.13 |
|        toilet       |  52.8 | 77.45 |
|        flower       | 18.64 | 29.17 |
|         book        | 34.02 | 51.69 |
|         hill        |  4.23 |  4.98 |
|        bench        | 30.88 | 37.37 |
|      countertop     | 20.89 | 27.57 |
|        stove        |  34.7 | 53.28 |
|         palm        | 32.34 | 38.71 |
|    kitchen island   |  8.78 | 10.39 |
|       computer      |  38.2 | 58.99 |
|     swivel chair    | 26.47 | 37.78 |
|         boat        | 18.48 | 36.59 |
|         bar         |  6.12 |  6.38 |
|    arcade machine   | 21.77 | 23.28 |
|        hovel        | 32.32 | 57.28 |
|         bus         | 64.56 | 72.14 |
|        towel        |  23.1 | 27.18 |
|        light        |  1.28 |  1.28 |
|        truck        | 11.24 | 12.85 |
|        tower        | 40.32 |  48.0 |
|      chandelier     | 37.48 | 48.85 |
|        awning       |  4.71 |  4.81 |
|     streetlight     |  0.8  |  0.81 |
|        booth        |  0.0  |  0.0  |
| television receiver | 37.67 | 45.86 |
|       airplane      | 30.68 | 57.74 |
|      dirt track     |  0.0  |  0.0  |
|       apparel       |  5.11 |  7.84 |
|         pole        |  2.1  |  2.18 |
|         land        |  0.0  |  0.0  |
|      bannister      |  0.0  |  0.0  |
|      escalator      | 10.95 | 11.42 |
|       ottoman       |  0.0  |  0.0  |
|        bottle       |  0.36 |  0.39 |
|        buffet       |  0.23 |  0.23 |
|        poster       |  1.04 |  1.05 |
|        stage        |  3.03 |  4.8  |
|         van         |  0.0  |  0.0  |
|         ship        | 17.07 | 22.96 |
|       fountain      |  2.75 |  2.82 |
|    conveyer belt    | 39.54 | 42.14 |
|        canopy       |  1.7  |  1.74 |
|        washer       | 48.13 | 61.28 |
|      plaything      |  0.51 |  0.62 |
|    swimming pool    | 24.45 | 48.66 |
|        stool        |  0.0  |  0.0  |
|        barrel       |  0.29 |  0.46 |
|        basket       |  1.21 |  1.25 |
|      waterfall      | 42.07 | 83.04 |
|         tent        | 66.67 | 99.65 |
|         bag         |  0.01 |  0.01 |
|       minibike      | 26.08 | 29.06 |
|        cradle       | 53.02 | 83.19 |
|         oven        |  0.0  |  0.0  |
|         ball        |  22.6 | 33.21 |
|         food        | 28.08 | 37.47 |
|         step        |  0.66 |  0.67 |
|         tank        |  0.0  |  0.0  |
|      trade name     |  4.58 |  4.64 |
|      microwave      | 14.95 | 17.92 |
|         pot         |  9.67 | 10.56 |
|        animal       | 34.12 |  35.7 |
|       bicycle       | 24.94 | 39.36 |
|         lake        |  0.02 |  0.02 |
|      dishwasher     |  0.0  |  0.0  |
|        screen       |  36.8 | 60.01 |
|       blanket       |  0.0  |  0.0  |
|      sculpture      |  0.0  |  0.0  |
|         hood        |  1.09 |  1.14 |
|        sconce       |  0.15 |  0.15 |
|         vase        |  5.65 |  6.95 |
|    traffic light    |  0.47 |  0.47 |
|         tray        |  0.0  |  0.0  |
|        ashcan       |  1.21 |  1.22 |
|         fan         |  8.55 |  9.29 |
|         pier        |  5.34 |  5.39 |
|      crt screen     |  0.0  |  0.0  |
|        plate        | 10.47 | 11.26 |
|       monitor       |  1.46 |  1.51 |
|    bulletin board   | 20.73 | 22.87 |
|        shower       |  0.0  |  0.0  |
|       radiator      |  0.21 |  0.21 |
|        glass        |  0.0  |  0.0  |
|        clock        |  0.0  |  0.0  |
|         flag        |  4.67 |  4.7  |
+---------------------+-------+-------+
2022-11-04 11:02:18,393 - mmseg - INFO - Summary:
2022-11-04 11:02:18,393 - mmseg - INFO - 
+------+-------+-------+
| aAcc |  mIoU |  mAcc |
+------+-------+-------+
| 71.7 | 23.95 | 32.78 |
+------+-------+-------+
2022-11-04 11:02:18,394 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 11:02:18,395 - mmseg - INFO - Iter(val) [250]	aAcc: 0.7170, mIoU: 0.2395, mAcc: 0.3278, IoU.wall: 0.6161, IoU.building: 0.7401, IoU.sky: 0.8937, IoU.floor: 0.6679, IoU.tree: 0.6321, IoU.ceiling: 0.7017, IoU.road: 0.7343, IoU.bed : 0.6447, IoU.windowpane: 0.4513, IoU.grass: 0.6281, IoU.cabinet: 0.4222, IoU.sidewalk: 0.4797, IoU.person: 0.6047, IoU.earth: 0.2587, IoU.door: 0.1877, IoU.table: 0.2856, IoU.mountain: 0.4773, IoU.plant: 0.3726, IoU.curtain: 0.5095, IoU.chair: 0.3055, IoU.car: 0.6672, IoU.water: 0.3435, IoU.painting: 0.4883, IoU.sofa: 0.3792, IoU.shelf: 0.2930, IoU.house: 0.3978, IoU.sea: 0.5197, IoU.mirror: 0.2821, IoU.rug: 0.2850, IoU.field: 0.2663, IoU.armchair: 0.1794, IoU.seat: 0.3839, IoU.fence: 0.1465, IoU.desk: 0.1865, IoU.rock: 0.3033, IoU.wardrobe: 0.3446, IoU.lamp: 0.2774, IoU.bathtub: 0.4190, IoU.railing: 0.1953, IoU.cushion: 0.2080, IoU.base: 0.1144, IoU.box: 0.0725, IoU.column: 0.2103, IoU.signboard: 0.1797, IoU.chest of drawers: 0.2562, IoU.counter: 0.2013, IoU.sand: 0.2172, IoU.sink: 0.3152, IoU.skyscraper: 0.5736, IoU.fireplace: 0.3942, IoU.refrigerator: 0.2621, IoU.grandstand: 0.3401, IoU.path: 0.0689, IoU.stairs: 0.0715, IoU.runway: 0.7429, IoU.case: 0.3622, IoU.pool table: 0.7480, IoU.pillow: 0.2172, IoU.screen door: 0.3580, IoU.stairway: 0.1449, IoU.river: 0.0420, IoU.bridge: 0.1666, IoU.bookcase: 0.2363, IoU.blind: 0.0358, IoU.coffee table: 0.2643, IoU.toilet: 0.5280, IoU.flower: 0.1864, IoU.book: 0.3402, IoU.hill: 0.0423, IoU.bench: 0.3088, IoU.countertop: 0.2089, IoU.stove: 0.3470, IoU.palm: 0.3234, IoU.kitchen island: 0.0878, IoU.computer: 0.3820, IoU.swivel chair: 0.2647, IoU.boat: 0.1848, IoU.bar: 0.0612, IoU.arcade machine: 0.2177, IoU.hovel: 0.3232, IoU.bus: 0.6456, IoU.towel: 0.2310, IoU.light: 0.0128, IoU.truck: 0.1124, IoU.tower: 0.4032, IoU.chandelier: 0.3748, IoU.awning: 0.0471, IoU.streetlight: 0.0080, IoU.booth: 0.0000, IoU.television receiver: 0.3767, IoU.airplane: 0.3068, IoU.dirt track: 0.0000, IoU.apparel: 0.0511, IoU.pole: 0.0210, IoU.land: 0.0000, IoU.bannister: 0.0000, IoU.escalator: 0.1095, IoU.ottoman: 0.0000, IoU.bottle: 0.0036, IoU.buffet: 0.0023, IoU.poster: 0.0104, IoU.stage: 0.0303, IoU.van: 0.0000, IoU.ship: 0.1707, IoU.fountain: 0.0275, IoU.conveyer belt: 0.3954, IoU.canopy: 0.0170, IoU.washer: 0.4813, IoU.plaything: 0.0051, IoU.swimming pool: 0.2445, IoU.stool: 0.0000, IoU.barrel: 0.0029, IoU.basket: 0.0121, IoU.waterfall: 0.4207, IoU.tent: 0.6667, IoU.bag: 0.0001, IoU.minibike: 0.2608, IoU.cradle: 0.5302, IoU.oven: 0.0000, IoU.ball: 0.2260, IoU.food: 0.2808, IoU.step: 0.0066, IoU.tank: 0.0000, IoU.trade name: 0.0458, IoU.microwave: 0.1495, IoU.pot: 0.0967, IoU.animal: 0.3412, IoU.bicycle: 0.2494, IoU.lake: 0.0002, IoU.dishwasher: 0.0000, IoU.screen: 0.3680, IoU.blanket: 0.0000, IoU.sculpture: 0.0000, IoU.hood: 0.0109, IoU.sconce: 0.0015, IoU.vase: 0.0565, IoU.traffic light: 0.0047, IoU.tray: 0.0000, IoU.ashcan: 0.0121, IoU.fan: 0.0855, IoU.pier: 0.0534, IoU.crt screen: 0.0000, IoU.plate: 0.1047, IoU.monitor: 0.0146, IoU.bulletin board: 0.2073, IoU.shower: 0.0000, IoU.radiator: 0.0021, IoU.glass: 0.0000, IoU.clock: 0.0000, IoU.flag: 0.0467, Acc.wall: 0.8328, Acc.building: 0.9028, Acc.sky: 0.9512, Acc.floor: 0.8094, Acc.tree: 0.8255, Acc.ceiling: 0.7981, Acc.road: 0.8333, Acc.bed : 0.9142, Acc.windowpane: 0.6431, Acc.grass: 0.8116, Acc.cabinet: 0.6007, Acc.sidewalk: 0.6919, Acc.person: 0.7898, Acc.earth: 0.3392, Acc.door: 0.2351, Acc.table: 0.4118, Acc.mountain: 0.6418, Acc.plant: 0.4477, Acc.curtain: 0.6510, Acc.chair: 0.4858, Acc.car: 0.8223, Acc.water: 0.4624, Acc.painting: 0.6382, Acc.sofa: 0.4891, Acc.shelf: 0.4947, Acc.house: 0.4810, Acc.sea: 0.8610, Acc.mirror: 0.4082, Acc.rug: 0.3274, Acc.field: 0.4695, Acc.armchair: 0.2863, Acc.seat: 0.6435, Acc.fence: 0.1843, Acc.desk: 0.2728, Acc.rock: 0.4622, Acc.wardrobe: 0.4968, Acc.lamp: 0.3993, Acc.bathtub: 0.5727, Acc.railing: 0.2450, Acc.cushion: 0.3043, Acc.base: 0.1584, Acc.box: 0.0997, Acc.column: 0.2388, Acc.signboard: 0.2215, Acc.chest of drawers: 0.4681, Acc.counter: 0.2369, Acc.sand: 0.3690, Acc.sink: 0.4403, Acc.skyscraper: 0.8142, Acc.fireplace: 0.6628, Acc.refrigerator: 0.3298, Acc.grandstand: 0.5472, Acc.path: 0.0850, Acc.stairs: 0.0810, Acc.runway: 0.9077, Acc.case: 0.6096, Acc.pool table: 0.8995, Acc.pillow: 0.2918, Acc.screen door: 0.4360, Acc.stairway: 0.2614, Acc.river: 0.1151, Acc.bridge: 0.2398, Acc.bookcase: 0.4485, Acc.blind: 0.0363, Acc.coffee table: 0.4413, Acc.toilet: 0.7745, Acc.flower: 0.2917, Acc.book: 0.5169, Acc.hill: 0.0498, Acc.bench: 0.3737, Acc.countertop: 0.2757, Acc.stove: 0.5328, Acc.palm: 0.3871, Acc.kitchen island: 0.1039, Acc.computer: 0.5899, Acc.swivel chair: 0.3778, Acc.boat: 0.3659, Acc.bar: 0.0638, Acc.arcade machine: 0.2328, Acc.hovel: 0.5728, Acc.bus: 0.7214, Acc.towel: 0.2718, Acc.light: 0.0128, Acc.truck: 0.1285, Acc.tower: 0.4800, Acc.chandelier: 0.4885, Acc.awning: 0.0481, Acc.streetlight: 0.0081, Acc.booth: 0.0000, Acc.television receiver: 0.4586, Acc.airplane: 0.5774, Acc.dirt track: 0.0000, Acc.apparel: 0.0784, Acc.pole: 0.0218, Acc.land: 0.0000, Acc.bannister: 0.0000, Acc.escalator: 0.1142, Acc.ottoman: 0.0000, Acc.bottle: 0.0039, Acc.buffet: 0.0023, Acc.poster: 0.0105, Acc.stage: 0.0480, Acc.van: 0.0000, Acc.ship: 0.2296, Acc.fountain: 0.0282, Acc.conveyer belt: 0.4214, Acc.canopy: 0.0174, Acc.washer: 0.6128, Acc.plaything: 0.0062, Acc.swimming pool: 0.4866, Acc.stool: 0.0000, Acc.barrel: 0.0046, Acc.basket: 0.0125, Acc.waterfall: 0.8304, Acc.tent: 0.9965, Acc.bag: 0.0001, Acc.minibike: 0.2906, Acc.cradle: 0.8319, Acc.oven: 0.0000, Acc.ball: 0.3321, Acc.food: 0.3747, Acc.step: 0.0067, Acc.tank: 0.0000, Acc.trade name: 0.0464, Acc.microwave: 0.1792, Acc.pot: 0.1056, Acc.animal: 0.3570, Acc.bicycle: 0.3936, Acc.lake: 0.0002, Acc.dishwasher: 0.0000, Acc.screen: 0.6001, Acc.blanket: 0.0000, Acc.sculpture: 0.0000, Acc.hood: 0.0114, Acc.sconce: 0.0015, Acc.vase: 0.0695, Acc.traffic light: 0.0047, Acc.tray: 0.0000, Acc.ashcan: 0.0122, Acc.fan: 0.0929, Acc.pier: 0.0539, Acc.crt screen: 0.0000, Acc.plate: 0.1126, Acc.monitor: 0.0151, Acc.bulletin board: 0.2287, Acc.shower: 0.0000, Acc.radiator: 0.0021, Acc.glass: 0.0000, Acc.clock: 0.0000, Acc.flag: 0.0470
2022-11-04 11:02:34,682 - mmseg - INFO - Iter [8050/80000]	lr: 1.091e-04, eta: 6:42:14, time: 1.002, data_time: 0.684, memory: 9985, decode.loss_ce: 0.8396, decode.acc_seg: 70.0472, aux.loss_ce: 0.4411, aux.acc_seg: 63.8756, loss: 1.2807
2022-11-04 11:02:51,069 - mmseg - INFO - Iter [8100/80000]	lr: 1.090e-04, eta: 6:41:54, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.8147, decode.acc_seg: 70.5541, aux.loss_ce: 0.4262, aux.acc_seg: 64.6457, loss: 1.2409
2022-11-04 11:03:07,454 - mmseg - INFO - Iter [8150/80000]	lr: 1.089e-04, eta: 6:41:34, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.8140, decode.acc_seg: 71.0265, aux.loss_ce: 0.4260, aux.acc_seg: 64.4153, loss: 1.2400
2022-11-04 11:03:23,600 - mmseg - INFO - Iter [8200/80000]	lr: 1.089e-04, eta: 6:41:12, time: 0.323, data_time: 0.008, memory: 9985, decode.loss_ce: 0.8284, decode.acc_seg: 70.5992, aux.loss_ce: 0.4359, aux.acc_seg: 64.0509, loss: 1.2643
2022-11-04 11:03:42,990 - mmseg - INFO - Iter [8250/80000]	lr: 1.088e-04, eta: 6:41:18, time: 0.388, data_time: 0.059, memory: 9985, decode.loss_ce: 0.8224, decode.acc_seg: 70.3330, aux.loss_ce: 0.4396, aux.acc_seg: 63.5806, loss: 1.2621
2022-11-04 11:03:59,219 - mmseg - INFO - Iter [8300/80000]	lr: 1.087e-04, eta: 6:40:56, time: 0.325, data_time: 0.008, memory: 9985, decode.loss_ce: 0.8280, decode.acc_seg: 69.8378, aux.loss_ce: 0.4388, aux.acc_seg: 63.6026, loss: 1.2668
2022-11-04 11:04:15,454 - mmseg - INFO - Iter [8350/80000]	lr: 1.087e-04, eta: 6:40:35, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.8233, decode.acc_seg: 70.6214, aux.loss_ce: 0.4380, aux.acc_seg: 64.2860, loss: 1.2613
2022-11-04 11:04:31,644 - mmseg - INFO - Iter [8400/80000]	lr: 1.086e-04, eta: 6:40:13, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.8125, decode.acc_seg: 70.7005, aux.loss_ce: 0.4351, aux.acc_seg: 63.8845, loss: 1.2476
2022-11-04 11:04:47,827 - mmseg - INFO - Iter [8450/80000]	lr: 1.085e-04, eta: 6:39:51, time: 0.324, data_time: 0.008, memory: 9985, decode.loss_ce: 0.8382, decode.acc_seg: 70.4094, aux.loss_ce: 0.4392, aux.acc_seg: 64.0544, loss: 1.2774
2022-11-04 11:05:04,055 - mmseg - INFO - Iter [8500/80000]	lr: 1.085e-04, eta: 6:39:30, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.8052, decode.acc_seg: 70.7198, aux.loss_ce: 0.4235, aux.acc_seg: 64.3133, loss: 1.2287
2022-11-04 11:05:20,115 - mmseg - INFO - Iter [8550/80000]	lr: 1.084e-04, eta: 6:39:07, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.8102, decode.acc_seg: 71.1134, aux.loss_ce: 0.4262, aux.acc_seg: 64.7454, loss: 1.2364
2022-11-04 11:05:36,399 - mmseg - INFO - Iter [8600/80000]	lr: 1.083e-04, eta: 6:38:47, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7895, decode.acc_seg: 71.1163, aux.loss_ce: 0.4162, aux.acc_seg: 65.1446, loss: 1.2057
2022-11-04 11:05:52,518 - mmseg - INFO - Iter [8650/80000]	lr: 1.083e-04, eta: 6:38:25, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.8192, decode.acc_seg: 71.0196, aux.loss_ce: 0.4299, aux.acc_seg: 64.9416, loss: 1.2491
2022-11-04 11:06:08,820 - mmseg - INFO - Iter [8700/80000]	lr: 1.082e-04, eta: 6:38:04, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.8027, decode.acc_seg: 70.5766, aux.loss_ce: 0.4262, aux.acc_seg: 64.2754, loss: 1.2289
2022-11-04 11:06:24,985 - mmseg - INFO - Iter [8750/80000]	lr: 1.081e-04, eta: 6:37:43, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.8269, decode.acc_seg: 70.1836, aux.loss_ce: 0.4364, aux.acc_seg: 63.7767, loss: 1.2633
2022-11-04 11:06:40,975 - mmseg - INFO - Iter [8800/80000]	lr: 1.081e-04, eta: 6:37:20, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.8151, decode.acc_seg: 70.8499, aux.loss_ce: 0.4281, aux.acc_seg: 64.3226, loss: 1.2432
2022-11-04 11:07:00,163 - mmseg - INFO - Iter [8850/80000]	lr: 1.080e-04, eta: 6:37:23, time: 0.384, data_time: 0.064, memory: 9985, decode.loss_ce: 0.8141, decode.acc_seg: 70.5885, aux.loss_ce: 0.4380, aux.acc_seg: 64.0782, loss: 1.2520
2022-11-04 11:07:16,331 - mmseg - INFO - Iter [8900/80000]	lr: 1.079e-04, eta: 6:37:01, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.8033, decode.acc_seg: 71.1192, aux.loss_ce: 0.4289, aux.acc_seg: 64.4814, loss: 1.2322
2022-11-04 11:07:32,340 - mmseg - INFO - Iter [8950/80000]	lr: 1.078e-04, eta: 6:36:38, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.8026, decode.acc_seg: 71.3258, aux.loss_ce: 0.4256, aux.acc_seg: 64.6159, loss: 1.2282
2022-11-04 11:07:48,517 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 11:07:48,518 - mmseg - INFO - Iter [9000/80000]	lr: 1.078e-04, eta: 6:36:17, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.8275, decode.acc_seg: 70.3061, aux.loss_ce: 0.4359, aux.acc_seg: 64.0765, loss: 1.2635
2022-11-04 11:08:04,941 - mmseg - INFO - Iter [9050/80000]	lr: 1.077e-04, eta: 6:35:58, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7905, decode.acc_seg: 71.4894, aux.loss_ce: 0.4177, aux.acc_seg: 65.2511, loss: 1.2082
2022-11-04 11:08:21,328 - mmseg - INFO - Iter [9100/80000]	lr: 1.076e-04, eta: 6:35:38, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7690, decode.acc_seg: 71.8894, aux.loss_ce: 0.4100, aux.acc_seg: 65.4329, loss: 1.1790
2022-11-04 11:08:37,711 - mmseg - INFO - Iter [9150/80000]	lr: 1.076e-04, eta: 6:35:19, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7872, decode.acc_seg: 71.6847, aux.loss_ce: 0.4212, aux.acc_seg: 65.0699, loss: 1.2084
2022-11-04 11:08:53,748 - mmseg - INFO - Iter [9200/80000]	lr: 1.075e-04, eta: 6:34:57, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.8315, decode.acc_seg: 70.3376, aux.loss_ce: 0.4345, aux.acc_seg: 63.9885, loss: 1.2660
2022-11-04 11:09:09,790 - mmseg - INFO - Iter [9250/80000]	lr: 1.074e-04, eta: 6:34:35, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7937, decode.acc_seg: 71.8364, aux.loss_ce: 0.4227, aux.acc_seg: 64.8194, loss: 1.2164
2022-11-04 11:09:26,021 - mmseg - INFO - Iter [9300/80000]	lr: 1.074e-04, eta: 6:34:14, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.8091, decode.acc_seg: 71.0262, aux.loss_ce: 0.4244, aux.acc_seg: 65.2697, loss: 1.2335
2022-11-04 11:09:42,208 - mmseg - INFO - Iter [9350/80000]	lr: 1.073e-04, eta: 6:33:53, time: 0.324, data_time: 0.008, memory: 9985, decode.loss_ce: 0.8094, decode.acc_seg: 70.9771, aux.loss_ce: 0.4246, aux.acc_seg: 64.8469, loss: 1.2340
2022-11-04 11:09:58,408 - mmseg - INFO - Iter [9400/80000]	lr: 1.072e-04, eta: 6:33:33, time: 0.324, data_time: 0.008, memory: 9985, decode.loss_ce: 0.8137, decode.acc_seg: 71.2530, aux.loss_ce: 0.4362, aux.acc_seg: 64.3395, loss: 1.2500
2022-11-04 11:10:14,580 - mmseg - INFO - Iter [9450/80000]	lr: 1.072e-04, eta: 6:33:12, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7863, decode.acc_seg: 71.6079, aux.loss_ce: 0.4204, aux.acc_seg: 64.8761, loss: 1.2067
2022-11-04 11:10:33,802 - mmseg - INFO - Iter [9500/80000]	lr: 1.071e-04, eta: 6:33:14, time: 0.384, data_time: 0.065, memory: 9985, decode.loss_ce: 0.7876, decode.acc_seg: 71.7173, aux.loss_ce: 0.4312, aux.acc_seg: 64.2907, loss: 1.2188
2022-11-04 11:10:49,891 - mmseg - INFO - Iter [9550/80000]	lr: 1.070e-04, eta: 6:32:52, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7816, decode.acc_seg: 72.0668, aux.loss_ce: 0.4230, aux.acc_seg: 65.0547, loss: 1.2046
2022-11-04 11:11:06,247 - mmseg - INFO - Iter [9600/80000]	lr: 1.070e-04, eta: 6:32:33, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.8019, decode.acc_seg: 71.3766, aux.loss_ce: 0.4233, aux.acc_seg: 64.8483, loss: 1.2252
2022-11-04 11:11:22,505 - mmseg - INFO - Iter [9650/80000]	lr: 1.069e-04, eta: 6:32:13, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7834, decode.acc_seg: 71.6727, aux.loss_ce: 0.4257, aux.acc_seg: 64.8578, loss: 1.2091
2022-11-04 11:11:38,833 - mmseg - INFO - Iter [9700/80000]	lr: 1.068e-04, eta: 6:31:53, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7868, decode.acc_seg: 71.2760, aux.loss_ce: 0.4221, aux.acc_seg: 64.4142, loss: 1.2088
2022-11-04 11:11:55,115 - mmseg - INFO - Iter [9750/80000]	lr: 1.068e-04, eta: 6:31:33, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7976, decode.acc_seg: 71.1712, aux.loss_ce: 0.4198, aux.acc_seg: 64.9102, loss: 1.2174
2022-11-04 11:12:11,347 - mmseg - INFO - Iter [9800/80000]	lr: 1.067e-04, eta: 6:31:13, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7728, decode.acc_seg: 71.5991, aux.loss_ce: 0.4192, aux.acc_seg: 64.9889, loss: 1.1920
2022-11-04 11:12:27,302 - mmseg - INFO - Iter [9850/80000]	lr: 1.066e-04, eta: 6:30:51, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7866, decode.acc_seg: 71.4135, aux.loss_ce: 0.4213, aux.acc_seg: 65.1214, loss: 1.2078
2022-11-04 11:12:43,603 - mmseg - INFO - Iter [9900/80000]	lr: 1.065e-04, eta: 6:30:31, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7880, decode.acc_seg: 71.9840, aux.loss_ce: 0.4267, aux.acc_seg: 64.8600, loss: 1.2146
2022-11-04 11:12:59,498 - mmseg - INFO - Iter [9950/80000]	lr: 1.065e-04, eta: 6:30:09, time: 0.318, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7573, decode.acc_seg: 72.3407, aux.loss_ce: 0.3974, aux.acc_seg: 66.4751, loss: 1.1548
2022-11-04 11:13:15,634 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 11:13:15,634 - mmseg - INFO - Iter [10000/80000]	lr: 1.064e-04, eta: 6:29:48, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.8212, decode.acc_seg: 70.5325, aux.loss_ce: 0.4226, aux.acc_seg: 64.6036, loss: 1.2437
2022-11-04 11:13:31,845 - mmseg - INFO - Iter [10050/80000]	lr: 1.063e-04, eta: 6:29:28, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.8219, decode.acc_seg: 70.2005, aux.loss_ce: 0.4337, aux.acc_seg: 64.4075, loss: 1.2556
2022-11-04 11:13:51,151 - mmseg - INFO - Iter [10100/80000]	lr: 1.063e-04, eta: 6:29:29, time: 0.386, data_time: 0.060, memory: 9985, decode.loss_ce: 0.7989, decode.acc_seg: 71.3530, aux.loss_ce: 0.4278, aux.acc_seg: 65.0504, loss: 1.2267
2022-11-04 11:14:07,342 - mmseg - INFO - Iter [10150/80000]	lr: 1.062e-04, eta: 6:29:09, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7863, decode.acc_seg: 72.2264, aux.loss_ce: 0.4177, aux.acc_seg: 65.9221, loss: 1.2041
2022-11-04 11:14:23,843 - mmseg - INFO - Iter [10200/80000]	lr: 1.061e-04, eta: 6:28:50, time: 0.330, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7759, decode.acc_seg: 72.4019, aux.loss_ce: 0.4220, aux.acc_seg: 64.9587, loss: 1.1979
2022-11-04 11:14:40,089 - mmseg - INFO - Iter [10250/80000]	lr: 1.061e-04, eta: 6:28:31, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7980, decode.acc_seg: 71.0917, aux.loss_ce: 0.4259, aux.acc_seg: 64.5166, loss: 1.2239
2022-11-04 11:14:56,249 - mmseg - INFO - Iter [10300/80000]	lr: 1.060e-04, eta: 6:28:10, time: 0.323, data_time: 0.008, memory: 9985, decode.loss_ce: 0.7448, decode.acc_seg: 72.8064, aux.loss_ce: 0.4025, aux.acc_seg: 65.8319, loss: 1.1474
2022-11-04 11:15:12,627 - mmseg - INFO - Iter [10350/80000]	lr: 1.059e-04, eta: 6:27:51, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7270, decode.acc_seg: 73.2809, aux.loss_ce: 0.3894, aux.acc_seg: 66.9580, loss: 1.1164
2022-11-04 11:15:28,729 - mmseg - INFO - Iter [10400/80000]	lr: 1.059e-04, eta: 6:27:30, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7912, decode.acc_seg: 70.8672, aux.loss_ce: 0.4269, aux.acc_seg: 64.3279, loss: 1.2181
2022-11-04 11:15:44,863 - mmseg - INFO - Iter [10450/80000]	lr: 1.058e-04, eta: 6:27:10, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.8070, decode.acc_seg: 70.7425, aux.loss_ce: 0.4306, aux.acc_seg: 64.0379, loss: 1.2376
2022-11-04 11:16:01,004 - mmseg - INFO - Iter [10500/80000]	lr: 1.057e-04, eta: 6:26:50, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7705, decode.acc_seg: 72.0719, aux.loss_ce: 0.4149, aux.acc_seg: 65.5876, loss: 1.1854
2022-11-04 11:16:17,119 - mmseg - INFO - Iter [10550/80000]	lr: 1.057e-04, eta: 6:26:29, time: 0.322, data_time: 0.008, memory: 9985, decode.loss_ce: 0.7799, decode.acc_seg: 72.3643, aux.loss_ce: 0.4211, aux.acc_seg: 65.6388, loss: 1.2010
2022-11-04 11:16:33,234 - mmseg - INFO - Iter [10600/80000]	lr: 1.056e-04, eta: 6:26:08, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7701, decode.acc_seg: 71.8332, aux.loss_ce: 0.4091, aux.acc_seg: 65.3277, loss: 1.1792
2022-11-04 11:16:49,638 - mmseg - INFO - Iter [10650/80000]	lr: 1.055e-04, eta: 6:25:50, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7525, decode.acc_seg: 72.7801, aux.loss_ce: 0.4060, aux.acc_seg: 66.1869, loss: 1.1584
2022-11-04 11:17:05,752 - mmseg - INFO - Iter [10700/80000]	lr: 1.055e-04, eta: 6:25:29, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7882, decode.acc_seg: 71.5297, aux.loss_ce: 0.4164, aux.acc_seg: 64.8939, loss: 1.2046
2022-11-04 11:17:24,849 - mmseg - INFO - Iter [10750/80000]	lr: 1.054e-04, eta: 6:25:28, time: 0.382, data_time: 0.062, memory: 9985, decode.loss_ce: 0.7846, decode.acc_seg: 71.6928, aux.loss_ce: 0.4212, aux.acc_seg: 64.9755, loss: 1.2058
2022-11-04 11:17:41,199 - mmseg - INFO - Iter [10800/80000]	lr: 1.053e-04, eta: 6:25:09, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7630, decode.acc_seg: 72.8318, aux.loss_ce: 0.4201, aux.acc_seg: 65.5026, loss: 1.1831
2022-11-04 11:17:57,477 - mmseg - INFO - Iter [10850/80000]	lr: 1.052e-04, eta: 6:24:50, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7655, decode.acc_seg: 71.8489, aux.loss_ce: 0.4086, aux.acc_seg: 65.4605, loss: 1.1741
2022-11-04 11:18:13,784 - mmseg - INFO - Iter [10900/80000]	lr: 1.052e-04, eta: 6:24:31, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7787, decode.acc_seg: 71.7730, aux.loss_ce: 0.4211, aux.acc_seg: 64.8091, loss: 1.1998
2022-11-04 11:18:30,089 - mmseg - INFO - Iter [10950/80000]	lr: 1.051e-04, eta: 6:24:12, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7722, decode.acc_seg: 72.3195, aux.loss_ce: 0.4126, aux.acc_seg: 65.9972, loss: 1.1848
2022-11-04 11:18:46,427 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 11:18:46,428 - mmseg - INFO - Iter [11000/80000]	lr: 1.050e-04, eta: 6:23:53, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7548, decode.acc_seg: 72.4417, aux.loss_ce: 0.4107, aux.acc_seg: 65.4718, loss: 1.1655
2022-11-04 11:19:02,487 - mmseg - INFO - Iter [11050/80000]	lr: 1.050e-04, eta: 6:23:32, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7672, decode.acc_seg: 72.5621, aux.loss_ce: 0.4146, aux.acc_seg: 65.3773, loss: 1.1818
2022-11-04 11:19:18,625 - mmseg - INFO - Iter [11100/80000]	lr: 1.049e-04, eta: 6:23:12, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7722, decode.acc_seg: 71.7451, aux.loss_ce: 0.4116, aux.acc_seg: 65.7915, loss: 1.1838
2022-11-04 11:19:35,146 - mmseg - INFO - Iter [11150/80000]	lr: 1.048e-04, eta: 6:22:54, time: 0.330, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7687, decode.acc_seg: 71.8802, aux.loss_ce: 0.4111, aux.acc_seg: 65.3559, loss: 1.1798
2022-11-04 11:19:51,490 - mmseg - INFO - Iter [11200/80000]	lr: 1.048e-04, eta: 6:22:36, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7624, decode.acc_seg: 72.9498, aux.loss_ce: 0.4100, aux.acc_seg: 66.1883, loss: 1.1724
2022-11-04 11:20:07,827 - mmseg - INFO - Iter [11250/80000]	lr: 1.047e-04, eta: 6:22:17, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7819, decode.acc_seg: 71.9296, aux.loss_ce: 0.4173, aux.acc_seg: 64.9769, loss: 1.1992
2022-11-04 11:20:23,774 - mmseg - INFO - Iter [11300/80000]	lr: 1.046e-04, eta: 6:21:56, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7491, decode.acc_seg: 72.6471, aux.loss_ce: 0.4024, aux.acc_seg: 66.2137, loss: 1.1515
2022-11-04 11:20:40,077 - mmseg - INFO - Iter [11350/80000]	lr: 1.046e-04, eta: 6:21:37, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7728, decode.acc_seg: 71.4693, aux.loss_ce: 0.4113, aux.acc_seg: 65.1796, loss: 1.1841
2022-11-04 11:20:59,288 - mmseg - INFO - Iter [11400/80000]	lr: 1.045e-04, eta: 6:21:35, time: 0.384, data_time: 0.064, memory: 9985, decode.loss_ce: 0.7621, decode.acc_seg: 72.6452, aux.loss_ce: 0.4090, aux.acc_seg: 65.9671, loss: 1.1710
2022-11-04 11:21:15,503 - mmseg - INFO - Iter [11450/80000]	lr: 1.044e-04, eta: 6:21:16, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7464, decode.acc_seg: 73.1304, aux.loss_ce: 0.4059, aux.acc_seg: 66.1752, loss: 1.1523
2022-11-04 11:21:31,693 - mmseg - INFO - Iter [11500/80000]	lr: 1.044e-04, eta: 6:20:56, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7528, decode.acc_seg: 73.0352, aux.loss_ce: 0.4101, aux.acc_seg: 65.9054, loss: 1.1629
2022-11-04 11:21:47,908 - mmseg - INFO - Iter [11550/80000]	lr: 1.043e-04, eta: 6:20:37, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7486, decode.acc_seg: 72.6492, aux.loss_ce: 0.4101, aux.acc_seg: 65.8970, loss: 1.1588
2022-11-04 11:22:03,937 - mmseg - INFO - Iter [11600/80000]	lr: 1.042e-04, eta: 6:20:16, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7562, decode.acc_seg: 72.3911, aux.loss_ce: 0.4080, aux.acc_seg: 65.6704, loss: 1.1642
2022-11-04 11:22:20,163 - mmseg - INFO - Iter [11650/80000]	lr: 1.042e-04, eta: 6:19:57, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7763, decode.acc_seg: 71.9775, aux.loss_ce: 0.4162, aux.acc_seg: 65.4957, loss: 1.1925
2022-11-04 11:22:36,187 - mmseg - INFO - Iter [11700/80000]	lr: 1.041e-04, eta: 6:19:36, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7736, decode.acc_seg: 72.1719, aux.loss_ce: 0.4177, aux.acc_seg: 65.1689, loss: 1.1912
2022-11-04 11:22:52,503 - mmseg - INFO - Iter [11750/80000]	lr: 1.040e-04, eta: 6:19:17, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7862, decode.acc_seg: 71.7024, aux.loss_ce: 0.4178, aux.acc_seg: 65.2738, loss: 1.2040
2022-11-04 11:23:08,653 - mmseg - INFO - Iter [11800/80000]	lr: 1.039e-04, eta: 6:18:58, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7579, decode.acc_seg: 72.3865, aux.loss_ce: 0.4054, aux.acc_seg: 66.2233, loss: 1.1634
2022-11-04 11:23:24,946 - mmseg - INFO - Iter [11850/80000]	lr: 1.039e-04, eta: 6:18:39, time: 0.326, data_time: 0.008, memory: 9985, decode.loss_ce: 0.7450, decode.acc_seg: 72.3464, aux.loss_ce: 0.4044, aux.acc_seg: 65.9360, loss: 1.1494
2022-11-04 11:23:41,127 - mmseg - INFO - Iter [11900/80000]	lr: 1.038e-04, eta: 6:18:19, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7725, decode.acc_seg: 70.8277, aux.loss_ce: 0.4127, aux.acc_seg: 64.0999, loss: 1.1852
2022-11-04 11:23:57,614 - mmseg - INFO - Iter [11950/80000]	lr: 1.037e-04, eta: 6:18:02, time: 0.330, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7640, decode.acc_seg: 72.4330, aux.loss_ce: 0.4089, aux.acc_seg: 65.8162, loss: 1.1730
2022-11-04 11:24:16,794 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 11:24:16,794 - mmseg - INFO - Iter [12000/80000]	lr: 1.037e-04, eta: 6:17:59, time: 0.384, data_time: 0.061, memory: 9985, decode.loss_ce: 0.7490, decode.acc_seg: 72.6666, aux.loss_ce: 0.4082, aux.acc_seg: 65.6262, loss: 1.1572
2022-11-04 11:24:33,197 - mmseg - INFO - Iter [12050/80000]	lr: 1.036e-04, eta: 6:17:41, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7464, decode.acc_seg: 72.7868, aux.loss_ce: 0.4093, aux.acc_seg: 65.5584, loss: 1.1557
2022-11-04 11:24:49,403 - mmseg - INFO - Iter [12100/80000]	lr: 1.035e-04, eta: 6:17:22, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7462, decode.acc_seg: 72.9412, aux.loss_ce: 0.4046, aux.acc_seg: 65.8868, loss: 1.1508
2022-11-04 11:25:05,700 - mmseg - INFO - Iter [12150/80000]	lr: 1.035e-04, eta: 6:17:03, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7536, decode.acc_seg: 72.9017, aux.loss_ce: 0.4055, aux.acc_seg: 66.1209, loss: 1.1591
2022-11-04 11:25:21,728 - mmseg - INFO - Iter [12200/80000]	lr: 1.034e-04, eta: 6:16:43, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7302, decode.acc_seg: 73.1849, aux.loss_ce: 0.3949, aux.acc_seg: 66.9856, loss: 1.1251
2022-11-04 11:25:37,782 - mmseg - INFO - Iter [12250/80000]	lr: 1.033e-04, eta: 6:16:23, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7129, decode.acc_seg: 73.5963, aux.loss_ce: 0.3941, aux.acc_seg: 66.4179, loss: 1.1070
2022-11-04 11:25:54,141 - mmseg - INFO - Iter [12300/80000]	lr: 1.033e-04, eta: 6:16:04, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7499, decode.acc_seg: 72.4719, aux.loss_ce: 0.4063, aux.acc_seg: 65.7421, loss: 1.1561
2022-11-04 11:26:10,249 - mmseg - INFO - Iter [12350/80000]	lr: 1.032e-04, eta: 6:15:45, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7397, decode.acc_seg: 73.1781, aux.loss_ce: 0.4001, aux.acc_seg: 66.6471, loss: 1.1398
2022-11-04 11:26:26,274 - mmseg - INFO - Iter [12400/80000]	lr: 1.031e-04, eta: 6:15:24, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7461, decode.acc_seg: 73.0773, aux.loss_ce: 0.3929, aux.acc_seg: 66.8518, loss: 1.1391
2022-11-04 11:26:42,197 - mmseg - INFO - Iter [12450/80000]	lr: 1.031e-04, eta: 6:15:04, time: 0.318, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7542, decode.acc_seg: 72.3332, aux.loss_ce: 0.4077, aux.acc_seg: 65.8954, loss: 1.1619
2022-11-04 11:26:58,251 - mmseg - INFO - Iter [12500/80000]	lr: 1.030e-04, eta: 6:14:44, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7603, decode.acc_seg: 72.7115, aux.loss_ce: 0.4068, aux.acc_seg: 66.7520, loss: 1.1671
2022-11-04 11:27:14,413 - mmseg - INFO - Iter [12550/80000]	lr: 1.029e-04, eta: 6:14:25, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7683, decode.acc_seg: 72.0650, aux.loss_ce: 0.4149, aux.acc_seg: 65.3056, loss: 1.1832
2022-11-04 11:27:30,487 - mmseg - INFO - Iter [12600/80000]	lr: 1.028e-04, eta: 6:14:05, time: 0.321, data_time: 0.008, memory: 9985, decode.loss_ce: 0.7609, decode.acc_seg: 71.8583, aux.loss_ce: 0.4147, aux.acc_seg: 64.9360, loss: 1.1756
2022-11-04 11:27:49,433 - mmseg - INFO - Iter [12650/80000]	lr: 1.028e-04, eta: 6:14:00, time: 0.379, data_time: 0.059, memory: 9985, decode.loss_ce: 0.7412, decode.acc_seg: 72.9593, aux.loss_ce: 0.4024, aux.acc_seg: 66.0633, loss: 1.1437
2022-11-04 11:28:05,942 - mmseg - INFO - Iter [12700/80000]	lr: 1.027e-04, eta: 6:13:43, time: 0.330, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7586, decode.acc_seg: 72.6258, aux.loss_ce: 0.4105, aux.acc_seg: 65.9907, loss: 1.1691
2022-11-04 11:28:21,958 - mmseg - INFO - Iter [12750/80000]	lr: 1.026e-04, eta: 6:13:23, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6981, decode.acc_seg: 74.3787, aux.loss_ce: 0.3858, aux.acc_seg: 66.9401, loss: 1.0839
2022-11-04 11:28:37,950 - mmseg - INFO - Iter [12800/80000]	lr: 1.026e-04, eta: 6:13:03, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7233, decode.acc_seg: 73.0904, aux.loss_ce: 0.3909, aux.acc_seg: 66.9967, loss: 1.1142
2022-11-04 11:28:53,935 - mmseg - INFO - Iter [12850/80000]	lr: 1.025e-04, eta: 6:12:43, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7482, decode.acc_seg: 72.5009, aux.loss_ce: 0.4063, aux.acc_seg: 65.5878, loss: 1.1545
2022-11-04 11:29:10,134 - mmseg - INFO - Iter [12900/80000]	lr: 1.024e-04, eta: 6:12:24, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7437, decode.acc_seg: 73.1229, aux.loss_ce: 0.4088, aux.acc_seg: 65.7595, loss: 1.1525
2022-11-04 11:29:26,416 - mmseg - INFO - Iter [12950/80000]	lr: 1.024e-04, eta: 6:12:05, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7222, decode.acc_seg: 73.4449, aux.loss_ce: 0.3941, aux.acc_seg: 66.5671, loss: 1.1163
2022-11-04 11:29:42,396 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 11:29:42,396 - mmseg - INFO - Iter [13000/80000]	lr: 1.023e-04, eta: 6:11:45, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7605, decode.acc_seg: 71.8550, aux.loss_ce: 0.4013, aux.acc_seg: 65.9408, loss: 1.1618
2022-11-04 11:29:58,503 - mmseg - INFO - Iter [13050/80000]	lr: 1.022e-04, eta: 6:11:26, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7107, decode.acc_seg: 74.1676, aux.loss_ce: 0.3881, aux.acc_seg: 67.2824, loss: 1.0988
2022-11-04 11:30:14,870 - mmseg - INFO - Iter [13100/80000]	lr: 1.022e-04, eta: 6:11:07, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7527, decode.acc_seg: 72.0624, aux.loss_ce: 0.4020, aux.acc_seg: 65.2040, loss: 1.1547
2022-11-04 11:30:31,143 - mmseg - INFO - Iter [13150/80000]	lr: 1.021e-04, eta: 6:10:49, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7275, decode.acc_seg: 73.0001, aux.loss_ce: 0.3971, aux.acc_seg: 66.1946, loss: 1.1246
2022-11-04 11:30:47,475 - mmseg - INFO - Iter [13200/80000]	lr: 1.020e-04, eta: 6:10:31, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7466, decode.acc_seg: 72.7789, aux.loss_ce: 0.4090, aux.acc_seg: 66.0052, loss: 1.1555
2022-11-04 11:31:03,325 - mmseg - INFO - Iter [13250/80000]	lr: 1.020e-04, eta: 6:10:10, time: 0.317, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7750, decode.acc_seg: 71.9480, aux.loss_ce: 0.4100, aux.acc_seg: 65.8136, loss: 1.1850
2022-11-04 11:31:22,608 - mmseg - INFO - Iter [13300/80000]	lr: 1.019e-04, eta: 6:10:07, time: 0.386, data_time: 0.066, memory: 9985, decode.loss_ce: 0.7337, decode.acc_seg: 73.8855, aux.loss_ce: 0.4026, aux.acc_seg: 66.1014, loss: 1.1363
2022-11-04 11:31:38,617 - mmseg - INFO - Iter [13350/80000]	lr: 1.018e-04, eta: 6:09:47, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7096, decode.acc_seg: 73.7045, aux.loss_ce: 0.3891, aux.acc_seg: 66.7640, loss: 1.0987
2022-11-04 11:31:54,620 - mmseg - INFO - Iter [13400/80000]	lr: 1.017e-04, eta: 6:09:27, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7279, decode.acc_seg: 73.7857, aux.loss_ce: 0.3971, aux.acc_seg: 66.7862, loss: 1.1250
2022-11-04 11:32:10,873 - mmseg - INFO - Iter [13450/80000]	lr: 1.017e-04, eta: 6:09:08, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6907, decode.acc_seg: 74.4497, aux.loss_ce: 0.3858, aux.acc_seg: 66.8431, loss: 1.0766
2022-11-04 11:32:27,049 - mmseg - INFO - Iter [13500/80000]	lr: 1.016e-04, eta: 6:08:50, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7163, decode.acc_seg: 73.5967, aux.loss_ce: 0.3903, aux.acc_seg: 67.3653, loss: 1.1066
2022-11-04 11:32:43,415 - mmseg - INFO - Iter [13550/80000]	lr: 1.015e-04, eta: 6:08:32, time: 0.327, data_time: 0.014, memory: 9985, decode.loss_ce: 0.7238, decode.acc_seg: 73.1729, aux.loss_ce: 0.3925, aux.acc_seg: 66.6600, loss: 1.1163
2022-11-04 11:32:59,622 - mmseg - INFO - Iter [13600/80000]	lr: 1.015e-04, eta: 6:08:13, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7535, decode.acc_seg: 72.7606, aux.loss_ce: 0.4102, aux.acc_seg: 65.5481, loss: 1.1637
2022-11-04 11:33:15,599 - mmseg - INFO - Iter [13650/80000]	lr: 1.014e-04, eta: 6:07:53, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7410, decode.acc_seg: 72.7324, aux.loss_ce: 0.4057, aux.acc_seg: 65.8904, loss: 1.1467
2022-11-04 11:33:31,830 - mmseg - INFO - Iter [13700/80000]	lr: 1.013e-04, eta: 6:07:34, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7280, decode.acc_seg: 73.6506, aux.loss_ce: 0.3920, aux.acc_seg: 67.0135, loss: 1.1201
2022-11-04 11:33:47,934 - mmseg - INFO - Iter [13750/80000]	lr: 1.013e-04, eta: 6:07:15, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7194, decode.acc_seg: 73.8065, aux.loss_ce: 0.4016, aux.acc_seg: 66.4522, loss: 1.1210
2022-11-04 11:34:04,044 - mmseg - INFO - Iter [13800/80000]	lr: 1.012e-04, eta: 6:06:56, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7374, decode.acc_seg: 73.0525, aux.loss_ce: 0.4031, aux.acc_seg: 65.8082, loss: 1.1404
2022-11-04 11:34:20,201 - mmseg - INFO - Iter [13850/80000]	lr: 1.011e-04, eta: 6:06:37, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7303, decode.acc_seg: 73.4446, aux.loss_ce: 0.4006, aux.acc_seg: 66.4143, loss: 1.1309
2022-11-04 11:34:39,250 - mmseg - INFO - Iter [13900/80000]	lr: 1.011e-04, eta: 6:06:32, time: 0.381, data_time: 0.054, memory: 9985, decode.loss_ce: 0.7288, decode.acc_seg: 73.1269, aux.loss_ce: 0.3937, aux.acc_seg: 66.8872, loss: 1.1225
2022-11-04 11:34:55,603 - mmseg - INFO - Iter [13950/80000]	lr: 1.010e-04, eta: 6:06:14, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7095, decode.acc_seg: 73.9941, aux.loss_ce: 0.3891, aux.acc_seg: 67.1590, loss: 1.0986
2022-11-04 11:35:11,673 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 11:35:11,673 - mmseg - INFO - Iter [14000/80000]	lr: 1.009e-04, eta: 6:05:55, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6811, decode.acc_seg: 74.8891, aux.loss_ce: 0.3808, aux.acc_seg: 67.3389, loss: 1.0619
2022-11-04 11:35:28,023 - mmseg - INFO - Iter [14050/80000]	lr: 1.009e-04, eta: 6:05:37, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7160, decode.acc_seg: 73.8502, aux.loss_ce: 0.3958, aux.acc_seg: 66.7173, loss: 1.1118
2022-11-04 11:35:44,182 - mmseg - INFO - Iter [14100/80000]	lr: 1.008e-04, eta: 6:05:18, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7049, decode.acc_seg: 73.7533, aux.loss_ce: 0.3816, aux.acc_seg: 67.1730, loss: 1.0865
2022-11-04 11:36:00,256 - mmseg - INFO - Iter [14150/80000]	lr: 1.007e-04, eta: 6:04:59, time: 0.321, data_time: 0.008, memory: 9985, decode.loss_ce: 0.7206, decode.acc_seg: 73.6108, aux.loss_ce: 0.3921, aux.acc_seg: 66.8637, loss: 1.1127
2022-11-04 11:36:16,477 - mmseg - INFO - Iter [14200/80000]	lr: 1.006e-04, eta: 6:04:40, time: 0.324, data_time: 0.008, memory: 9985, decode.loss_ce: 0.7524, decode.acc_seg: 72.5926, aux.loss_ce: 0.4182, aux.acc_seg: 65.1176, loss: 1.1706
2022-11-04 11:36:32,611 - mmseg - INFO - Iter [14250/80000]	lr: 1.006e-04, eta: 6:04:21, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7265, decode.acc_seg: 73.6697, aux.loss_ce: 0.3931, aux.acc_seg: 67.0821, loss: 1.1196
2022-11-04 11:36:48,906 - mmseg - INFO - Iter [14300/80000]	lr: 1.005e-04, eta: 6:04:03, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7288, decode.acc_seg: 73.2669, aux.loss_ce: 0.4014, aux.acc_seg: 65.9977, loss: 1.1302
2022-11-04 11:37:05,174 - mmseg - INFO - Iter [14350/80000]	lr: 1.004e-04, eta: 6:03:45, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7494, decode.acc_seg: 72.6570, aux.loss_ce: 0.4089, aux.acc_seg: 65.7023, loss: 1.1583
2022-11-04 11:37:21,452 - mmseg - INFO - Iter [14400/80000]	lr: 1.004e-04, eta: 6:03:27, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7495, decode.acc_seg: 72.3925, aux.loss_ce: 0.4059, aux.acc_seg: 65.6879, loss: 1.1555
2022-11-04 11:37:37,687 - mmseg - INFO - Iter [14450/80000]	lr: 1.003e-04, eta: 6:03:08, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7117, decode.acc_seg: 74.0434, aux.loss_ce: 0.3891, aux.acc_seg: 67.3494, loss: 1.1008
2022-11-04 11:37:54,154 - mmseg - INFO - Iter [14500/80000]	lr: 1.002e-04, eta: 6:02:51, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7375, decode.acc_seg: 73.1138, aux.loss_ce: 0.4052, aux.acc_seg: 66.0628, loss: 1.1427
2022-11-04 11:38:13,241 - mmseg - INFO - Iter [14550/80000]	lr: 1.002e-04, eta: 6:02:46, time: 0.382, data_time: 0.064, memory: 9985, decode.loss_ce: 0.7076, decode.acc_seg: 73.6130, aux.loss_ce: 0.3948, aux.acc_seg: 66.5586, loss: 1.1024
2022-11-04 11:38:29,337 - mmseg - INFO - Iter [14600/80000]	lr: 1.001e-04, eta: 6:02:27, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7286, decode.acc_seg: 73.1904, aux.loss_ce: 0.4064, aux.acc_seg: 65.8151, loss: 1.1350
2022-11-04 11:38:45,369 - mmseg - INFO - Iter [14650/80000]	lr: 1.000e-04, eta: 6:02:07, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7159, decode.acc_seg: 73.4804, aux.loss_ce: 0.3864, aux.acc_seg: 67.1604, loss: 1.1023
2022-11-04 11:39:01,400 - mmseg - INFO - Iter [14700/80000]	lr: 9.996e-05, eta: 6:01:48, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6922, decode.acc_seg: 74.1865, aux.loss_ce: 0.3887, aux.acc_seg: 66.7941, loss: 1.0810
2022-11-04 11:39:17,580 - mmseg - INFO - Iter [14750/80000]	lr: 9.989e-05, eta: 6:01:29, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7305, decode.acc_seg: 72.9973, aux.loss_ce: 0.3998, aux.acc_seg: 65.9638, loss: 1.1303
2022-11-04 11:39:33,935 - mmseg - INFO - Iter [14800/80000]	lr: 9.982e-05, eta: 6:01:12, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7056, decode.acc_seg: 74.3574, aux.loss_ce: 0.3909, aux.acc_seg: 67.3939, loss: 1.0965
2022-11-04 11:39:50,120 - mmseg - INFO - Iter [14850/80000]	lr: 9.975e-05, eta: 6:00:53, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7154, decode.acc_seg: 73.6374, aux.loss_ce: 0.3820, aux.acc_seg: 67.2982, loss: 1.0974
2022-11-04 11:40:06,570 - mmseg - INFO - Iter [14900/80000]	lr: 9.968e-05, eta: 6:00:36, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7483, decode.acc_seg: 72.7818, aux.loss_ce: 0.4136, aux.acc_seg: 65.7703, loss: 1.1619
2022-11-04 11:40:22,601 - mmseg - INFO - Iter [14950/80000]	lr: 9.962e-05, eta: 6:00:17, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7185, decode.acc_seg: 73.3461, aux.loss_ce: 0.3912, aux.acc_seg: 66.8809, loss: 1.1097
2022-11-04 11:40:38,721 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 11:40:38,721 - mmseg - INFO - Iter [15000/80000]	lr: 9.955e-05, eta: 5:59:58, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7257, decode.acc_seg: 73.6093, aux.loss_ce: 0.3919, aux.acc_seg: 66.8202, loss: 1.1176
2022-11-04 11:40:54,962 - mmseg - INFO - Iter [15050/80000]	lr: 9.948e-05, eta: 5:59:40, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7118, decode.acc_seg: 73.9457, aux.loss_ce: 0.3938, aux.acc_seg: 66.8763, loss: 1.1056
2022-11-04 11:41:10,918 - mmseg - INFO - Iter [15100/80000]	lr: 9.941e-05, eta: 5:59:20, time: 0.319, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7077, decode.acc_seg: 73.8610, aux.loss_ce: 0.3868, aux.acc_seg: 67.3156, loss: 1.0946
2022-11-04 11:41:29,969 - mmseg - INFO - Iter [15150/80000]	lr: 9.934e-05, eta: 5:59:14, time: 0.381, data_time: 0.072, memory: 9985, decode.loss_ce: 0.7326, decode.acc_seg: 73.1458, aux.loss_ce: 0.4054, aux.acc_seg: 65.8190, loss: 1.1379
2022-11-04 11:41:46,130 - mmseg - INFO - Iter [15200/80000]	lr: 9.927e-05, eta: 5:58:55, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6981, decode.acc_seg: 73.8812, aux.loss_ce: 0.3863, aux.acc_seg: 66.4443, loss: 1.0844
2022-11-04 11:42:02,118 - mmseg - INFO - Iter [15250/80000]	lr: 9.920e-05, eta: 5:58:36, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7103, decode.acc_seg: 73.7615, aux.loss_ce: 0.3962, aux.acc_seg: 66.4403, loss: 1.1065
2022-11-04 11:42:18,223 - mmseg - INFO - Iter [15300/80000]	lr: 9.913e-05, eta: 5:58:17, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6849, decode.acc_seg: 74.8914, aux.loss_ce: 0.3794, aux.acc_seg: 67.9667, loss: 1.0643
2022-11-04 11:42:34,282 - mmseg - INFO - Iter [15350/80000]	lr: 9.906e-05, eta: 5:57:58, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6966, decode.acc_seg: 74.0493, aux.loss_ce: 0.3797, aux.acc_seg: 67.5406, loss: 1.0764
2022-11-04 11:42:50,749 - mmseg - INFO - Iter [15400/80000]	lr: 9.900e-05, eta: 5:57:41, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7103, decode.acc_seg: 73.6127, aux.loss_ce: 0.3918, aux.acc_seg: 66.9315, loss: 1.1021
2022-11-04 11:43:06,925 - mmseg - INFO - Iter [15450/80000]	lr: 9.893e-05, eta: 5:57:23, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7074, decode.acc_seg: 73.8530, aux.loss_ce: 0.3885, aux.acc_seg: 67.1832, loss: 1.0959
2022-11-04 11:43:23,178 - mmseg - INFO - Iter [15500/80000]	lr: 9.886e-05, eta: 5:57:05, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7151, decode.acc_seg: 73.7602, aux.loss_ce: 0.3899, aux.acc_seg: 66.6488, loss: 1.1051
2022-11-04 11:43:39,433 - mmseg - INFO - Iter [15550/80000]	lr: 9.879e-05, eta: 5:56:47, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7303, decode.acc_seg: 73.5525, aux.loss_ce: 0.4048, aux.acc_seg: 65.9262, loss: 1.1352
2022-11-04 11:43:55,711 - mmseg - INFO - Iter [15600/80000]	lr: 9.872e-05, eta: 5:56:29, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6991, decode.acc_seg: 73.9513, aux.loss_ce: 0.3808, aux.acc_seg: 67.4879, loss: 1.0800
2022-11-04 11:44:11,628 - mmseg - INFO - Iter [15650/80000]	lr: 9.865e-05, eta: 5:56:09, time: 0.318, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7230, decode.acc_seg: 73.6032, aux.loss_ce: 0.3974, aux.acc_seg: 66.5704, loss: 1.1205
2022-11-04 11:44:27,633 - mmseg - INFO - Iter [15700/80000]	lr: 9.858e-05, eta: 5:55:50, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7085, decode.acc_seg: 74.2203, aux.loss_ce: 0.3832, aux.acc_seg: 67.8201, loss: 1.0916
2022-11-04 11:44:43,742 - mmseg - INFO - Iter [15750/80000]	lr: 9.851e-05, eta: 5:55:31, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7211, decode.acc_seg: 73.1682, aux.loss_ce: 0.3880, aux.acc_seg: 66.4243, loss: 1.1090
2022-11-04 11:45:02,802 - mmseg - INFO - Iter [15800/80000]	lr: 9.844e-05, eta: 5:55:25, time: 0.381, data_time: 0.065, memory: 9985, decode.loss_ce: 0.6885, decode.acc_seg: 74.1365, aux.loss_ce: 0.3773, aux.acc_seg: 67.6553, loss: 1.0658
2022-11-04 11:45:19,042 - mmseg - INFO - Iter [15850/80000]	lr: 9.837e-05, eta: 5:55:07, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6911, decode.acc_seg: 74.3830, aux.loss_ce: 0.3958, aux.acc_seg: 66.4830, loss: 1.0869
2022-11-04 11:45:35,149 - mmseg - INFO - Iter [15900/80000]	lr: 9.831e-05, eta: 5:54:48, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6850, decode.acc_seg: 75.1222, aux.loss_ce: 0.3788, aux.acc_seg: 68.3002, loss: 1.0638
2022-11-04 11:45:51,300 - mmseg - INFO - Iter [15950/80000]	lr: 9.824e-05, eta: 5:54:30, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6733, decode.acc_seg: 74.7134, aux.loss_ce: 0.3749, aux.acc_seg: 67.6902, loss: 1.0482
2022-11-04 11:46:07,533 - mmseg - INFO - Saving checkpoint at 16000 iterations
2022-11-04 11:46:07,792 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 11:46:07,793 - mmseg - INFO - Iter [16000/80000]	lr: 9.817e-05, eta: 5:54:13, time: 0.330, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7123, decode.acc_seg: 73.5367, aux.loss_ce: 0.3903, aux.acc_seg: 66.8737, loss: 1.1025
2022-11-04 11:46:16,580 - mmseg - INFO - per class results:
2022-11-04 11:46:16,587 - mmseg - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 63.18 | 83.73 |
|       building      |  75.2 |  90.2 |
|         sky         | 89.65 | 95.07 |
|        floor        | 68.06 | 83.32 |
|         tree        | 63.81 | 81.06 |
|       ceiling       |  72.9 | 84.73 |
|         road        | 74.92 |  84.8 |
|         bed         | 68.61 | 89.98 |
|      windowpane     | 46.83 | 65.24 |
|        grass        | 63.99 | 78.08 |
|       cabinet       | 42.77 | 55.39 |
|       sidewalk      | 49.53 | 69.06 |
|        person       | 61.51 | 80.05 |
|        earth        | 25.19 | 34.83 |
|         door        | 21.24 | 27.72 |
|        table        | 33.12 | 44.53 |
|       mountain      | 51.15 | 66.35 |
|        plant        | 36.18 | 46.85 |
|       curtain       | 51.45 | 68.03 |
|        chair        | 32.16 | 45.45 |
|         car         | 67.47 | 81.57 |
|        water        | 35.92 |  48.9 |
|       painting      | 50.23 | 65.72 |
|         sofa        |  45.5 | 68.18 |
|        shelf        | 33.31 | 49.56 |
|        house        | 38.94 | 48.83 |
|         sea         | 52.91 | 91.04 |
|        mirror       | 30.05 |  36.5 |
|         rug         | 36.64 | 46.84 |
|        field        | 28.91 |  53.0 |
|       armchair      | 19.55 |  30.0 |
|         seat        | 47.13 |  68.2 |
|        fence        | 15.29 | 18.39 |
|         desk        | 29.37 | 45.02 |
|         rock        | 34.84 | 63.93 |
|       wardrobe      | 37.42 |  51.1 |
|         lamp        | 29.91 | 40.75 |
|       bathtub       | 50.83 | 65.53 |
|       railing       | 21.41 | 30.21 |
|       cushion       | 21.21 | 26.96 |
|         base        | 14.66 | 20.93 |
|         box         |  10.8 |  15.2 |
|        column       | 19.58 | 22.63 |
|      signboard      | 15.74 | 22.48 |
|   chest of drawers  | 27.35 | 46.28 |
|       counter       | 26.94 | 29.48 |
|         sand        | 25.13 | 41.86 |
|         sink        | 26.26 |  31.6 |
|      skyscraper     | 50.21 | 63.04 |
|      fireplace      | 42.68 | 66.73 |
|     refrigerator    | 36.33 | 46.84 |
|      grandstand     | 34.31 | 59.89 |
|         path        |  10.8 | 14.29 |
|        stairs       | 20.06 | 24.79 |
|        runway       | 71.44 | 88.04 |
|         case        | 43.86 | 56.17 |
|      pool table     | 79.38 | 89.24 |
|        pillow       | 29.46 | 40.05 |
|     screen door     | 38.71 | 69.84 |
|       stairway      | 18.55 | 24.91 |
|        river        |  7.74 | 23.57 |
|        bridge       | 29.07 |  52.4 |
|       bookcase      | 27.16 | 47.22 |
|        blind        |  5.87 |  6.17 |
|     coffee table    | 34.07 | 58.88 |
|        toilet       | 49.11 | 74.66 |
|        flower       | 13.93 | 27.45 |
|         book        | 33.22 | 44.64 |
|         hill        |  3.77 |  4.37 |
|        bench        | 30.05 | 39.77 |
|      countertop     | 26.13 | 35.94 |
|        stove        | 41.54 |  53.6 |
|         palm        | 36.68 | 49.82 |
|    kitchen island   |  15.6 | 29.16 |
|       computer      |  40.0 | 54.89 |
|     swivel chair    | 27.34 | 39.98 |
|         boat        | 27.58 | 46.48 |
|         bar         | 15.08 | 16.32 |
|    arcade machine   | 26.54 | 31.68 |
|        hovel        | 41.07 | 76.16 |
|         bus         | 67.14 | 76.33 |
|        towel        | 27.65 | 39.54 |
|        light        |  4.12 |  4.19 |
|        truck        |  10.7 |  13.8 |
|        tower        | 48.01 | 56.56 |
|      chandelier     | 39.92 | 49.23 |
|        awning       |  8.35 |  8.82 |
|     streetlight     |  2.7  |  2.99 |
|        booth        |  20.5 | 21.41 |
| television receiver | 43.48 | 52.22 |
|       airplane      | 38.22 |  54.8 |
|      dirt track     |  7.1  | 13.22 |
|       apparel       |  12.4 | 15.44 |
|         pole        |  2.48 |  2.7  |
|         land        |  0.5  |  0.52 |
|      bannister      |  0.1  |  0.11 |
|      escalator      | 41.49 | 46.25 |
|       ottoman       |  4.71 |  4.87 |
|        bottle       |  0.99 |  1.05 |
|        buffet       |  30.3 | 36.43 |
|        poster       |  6.94 |  7.03 |
|        stage        |  7.91 | 11.06 |
|         van         |  8.09 |  9.9  |
|         ship        | 63.56 | 89.53 |
|       fountain      |  4.18 |  4.4  |
|    conveyer belt    | 63.75 |  78.3 |
|        canopy       |  7.87 |  9.08 |
|        washer       |  44.8 | 49.74 |
|      plaything      |  1.57 |  2.37 |
|    swimming pool    |  24.6 | 36.93 |
|        stool        |  2.69 |  2.74 |
|        barrel       | 15.09 | 19.51 |
|        basket       |  7.88 |  9.08 |
|      waterfall      | 57.96 | 81.86 |
|         tent        | 67.73 | 99.58 |
|         bag         |  0.69 |  0.73 |
|       minibike      |  40.2 | 55.95 |
|        cradle       | 50.18 | 72.53 |
|         oven        | 12.92 | 15.02 |
|         ball        |  17.3 | 24.02 |
|         food        | 49.16 | 61.08 |
|         step        |  3.56 |  3.71 |
|         tank        | 16.86 | 17.68 |
|      trade name     |  11.2 | 11.88 |
|      microwave      | 17.21 | 19.05 |
|         pot         | 15.37 | 17.69 |
|        animal       | 37.21 |  40.2 |
|       bicycle       | 30.91 | 44.19 |
|         lake        |  5.07 |  5.1  |
|      dishwasher     |  8.3  |  9.38 |
|        screen       | 43.24 | 49.58 |
|       blanket       |  0.0  |  0.0  |
|      sculpture      | 17.25 |  20.0 |
|         hood        |  6.22 |  6.54 |
|        sconce       |  0.61 |  0.61 |
|         vase        |  9.71 | 13.68 |
|    traffic light    |  5.03 |  5.73 |
|         tray        |  0.0  |  0.0  |
|        ashcan       |  6.66 |  7.38 |
|         fan         | 15.82 |  18.1 |
|         pier        |  19.1 | 21.76 |
|      crt screen     |  0.0  |  0.0  |
|        plate        | 20.19 | 23.88 |
|       monitor       |  7.69 |  8.08 |
|    bulletin board   | 23.67 | 26.95 |
|        shower       |  0.0  |  0.0  |
|       radiator      | 12.39 | 12.55 |
|        glass        |  0.23 |  0.24 |
|        clock        |  2.53 |  3.05 |
|         flag        |  7.42 |  7.57 |
+---------------------+-------+-------+
2022-11-04 11:46:16,587 - mmseg - INFO - Summary:
2022-11-04 11:46:16,588 - mmseg - INFO - 
+-------+-------+-------+
|  aAcc |  mIoU |  mAcc |
+-------+-------+-------+
| 73.13 | 28.68 | 38.18 |
+-------+-------+-------+
2022-11-04 11:46:16,589 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 11:46:16,589 - mmseg - INFO - Iter(val) [250]	aAcc: 0.7313, mIoU: 0.2868, mAcc: 0.3818, IoU.wall: 0.6318, IoU.building: 0.7520, IoU.sky: 0.8965, IoU.floor: 0.6806, IoU.tree: 0.6381, IoU.ceiling: 0.7290, IoU.road: 0.7492, IoU.bed : 0.6861, IoU.windowpane: 0.4683, IoU.grass: 0.6399, IoU.cabinet: 0.4277, IoU.sidewalk: 0.4953, IoU.person: 0.6151, IoU.earth: 0.2519, IoU.door: 0.2124, IoU.table: 0.3312, IoU.mountain: 0.5115, IoU.plant: 0.3618, IoU.curtain: 0.5145, IoU.chair: 0.3216, IoU.car: 0.6747, IoU.water: 0.3592, IoU.painting: 0.5023, IoU.sofa: 0.4550, IoU.shelf: 0.3331, IoU.house: 0.3894, IoU.sea: 0.5291, IoU.mirror: 0.3005, IoU.rug: 0.3664, IoU.field: 0.2891, IoU.armchair: 0.1955, IoU.seat: 0.4713, IoU.fence: 0.1529, IoU.desk: 0.2937, IoU.rock: 0.3484, IoU.wardrobe: 0.3742, IoU.lamp: 0.2991, IoU.bathtub: 0.5083, IoU.railing: 0.2141, IoU.cushion: 0.2121, IoU.base: 0.1466, IoU.box: 0.1080, IoU.column: 0.1958, IoU.signboard: 0.1574, IoU.chest of drawers: 0.2735, IoU.counter: 0.2694, IoU.sand: 0.2513, IoU.sink: 0.2626, IoU.skyscraper: 0.5021, IoU.fireplace: 0.4268, IoU.refrigerator: 0.3633, IoU.grandstand: 0.3431, IoU.path: 0.1080, IoU.stairs: 0.2006, IoU.runway: 0.7144, IoU.case: 0.4386, IoU.pool table: 0.7938, IoU.pillow: 0.2946, IoU.screen door: 0.3871, IoU.stairway: 0.1855, IoU.river: 0.0774, IoU.bridge: 0.2907, IoU.bookcase: 0.2716, IoU.blind: 0.0587, IoU.coffee table: 0.3407, IoU.toilet: 0.4911, IoU.flower: 0.1393, IoU.book: 0.3322, IoU.hill: 0.0377, IoU.bench: 0.3005, IoU.countertop: 0.2613, IoU.stove: 0.4154, IoU.palm: 0.3668, IoU.kitchen island: 0.1560, IoU.computer: 0.4000, IoU.swivel chair: 0.2734, IoU.boat: 0.2758, IoU.bar: 0.1508, IoU.arcade machine: 0.2654, IoU.hovel: 0.4107, IoU.bus: 0.6714, IoU.towel: 0.2765, IoU.light: 0.0412, IoU.truck: 0.1070, IoU.tower: 0.4801, IoU.chandelier: 0.3992, IoU.awning: 0.0835, IoU.streetlight: 0.0270, IoU.booth: 0.2050, IoU.television receiver: 0.4348, IoU.airplane: 0.3822, IoU.dirt track: 0.0710, IoU.apparel: 0.1240, IoU.pole: 0.0248, IoU.land: 0.0050, IoU.bannister: 0.0010, IoU.escalator: 0.4149, IoU.ottoman: 0.0471, IoU.bottle: 0.0099, IoU.buffet: 0.3030, IoU.poster: 0.0694, IoU.stage: 0.0791, IoU.van: 0.0809, IoU.ship: 0.6356, IoU.fountain: 0.0418, IoU.conveyer belt: 0.6375, IoU.canopy: 0.0787, IoU.washer: 0.4480, IoU.plaything: 0.0157, IoU.swimming pool: 0.2460, IoU.stool: 0.0269, IoU.barrel: 0.1509, IoU.basket: 0.0788, IoU.waterfall: 0.5796, IoU.tent: 0.6773, IoU.bag: 0.0069, IoU.minibike: 0.4020, IoU.cradle: 0.5018, IoU.oven: 0.1292, IoU.ball: 0.1730, IoU.food: 0.4916, IoU.step: 0.0356, IoU.tank: 0.1686, IoU.trade name: 0.1120, IoU.microwave: 0.1721, IoU.pot: 0.1537, IoU.animal: 0.3721, IoU.bicycle: 0.3091, IoU.lake: 0.0507, IoU.dishwasher: 0.0830, IoU.screen: 0.4324, IoU.blanket: 0.0000, IoU.sculpture: 0.1725, IoU.hood: 0.0622, IoU.sconce: 0.0061, IoU.vase: 0.0971, IoU.traffic light: 0.0503, IoU.tray: 0.0000, IoU.ashcan: 0.0666, IoU.fan: 0.1582, IoU.pier: 0.1910, IoU.crt screen: 0.0000, IoU.plate: 0.2019, IoU.monitor: 0.0769, IoU.bulletin board: 0.2367, IoU.shower: 0.0000, IoU.radiator: 0.1239, IoU.glass: 0.0023, IoU.clock: 0.0253, IoU.flag: 0.0742, Acc.wall: 0.8373, Acc.building: 0.9020, Acc.sky: 0.9507, Acc.floor: 0.8332, Acc.tree: 0.8106, Acc.ceiling: 0.8473, Acc.road: 0.8480, Acc.bed : 0.8998, Acc.windowpane: 0.6524, Acc.grass: 0.7808, Acc.cabinet: 0.5539, Acc.sidewalk: 0.6906, Acc.person: 0.8005, Acc.earth: 0.3483, Acc.door: 0.2772, Acc.table: 0.4453, Acc.mountain: 0.6635, Acc.plant: 0.4685, Acc.curtain: 0.6803, Acc.chair: 0.4545, Acc.car: 0.8157, Acc.water: 0.4890, Acc.painting: 0.6572, Acc.sofa: 0.6818, Acc.shelf: 0.4956, Acc.house: 0.4883, Acc.sea: 0.9104, Acc.mirror: 0.3650, Acc.rug: 0.4684, Acc.field: 0.5300, Acc.armchair: 0.3000, Acc.seat: 0.6820, Acc.fence: 0.1839, Acc.desk: 0.4502, Acc.rock: 0.6393, Acc.wardrobe: 0.5110, Acc.lamp: 0.4075, Acc.bathtub: 0.6553, Acc.railing: 0.3021, Acc.cushion: 0.2696, Acc.base: 0.2093, Acc.box: 0.1520, Acc.column: 0.2263, Acc.signboard: 0.2248, Acc.chest of drawers: 0.4628, Acc.counter: 0.2948, Acc.sand: 0.4186, Acc.sink: 0.3160, Acc.skyscraper: 0.6304, Acc.fireplace: 0.6673, Acc.refrigerator: 0.4684, Acc.grandstand: 0.5989, Acc.path: 0.1429, Acc.stairs: 0.2479, Acc.runway: 0.8804, Acc.case: 0.5617, Acc.pool table: 0.8924, Acc.pillow: 0.4005, Acc.screen door: 0.6984, Acc.stairway: 0.2491, Acc.river: 0.2357, Acc.bridge: 0.5240, Acc.bookcase: 0.4722, Acc.blind: 0.0617, Acc.coffee table: 0.5888, Acc.toilet: 0.7466, Acc.flower: 0.2745, Acc.book: 0.4464, Acc.hill: 0.0437, Acc.bench: 0.3977, Acc.countertop: 0.3594, Acc.stove: 0.5360, Acc.palm: 0.4982, Acc.kitchen island: 0.2916, Acc.computer: 0.5489, Acc.swivel chair: 0.3998, Acc.boat: 0.4648, Acc.bar: 0.1632, Acc.arcade machine: 0.3168, Acc.hovel: 0.7616, Acc.bus: 0.7633, Acc.towel: 0.3954, Acc.light: 0.0419, Acc.truck: 0.1380, Acc.tower: 0.5656, Acc.chandelier: 0.4923, Acc.awning: 0.0882, Acc.streetlight: 0.0299, Acc.booth: 0.2141, Acc.television receiver: 0.5222, Acc.airplane: 0.5480, Acc.dirt track: 0.1322, Acc.apparel: 0.1544, Acc.pole: 0.0270, Acc.land: 0.0052, Acc.bannister: 0.0011, Acc.escalator: 0.4625, Acc.ottoman: 0.0487, Acc.bottle: 0.0105, Acc.buffet: 0.3643, Acc.poster: 0.0703, Acc.stage: 0.1106, Acc.van: 0.0990, Acc.ship: 0.8953, Acc.fountain: 0.0440, Acc.conveyer belt: 0.7830, Acc.canopy: 0.0908, Acc.washer: 0.4974, Acc.plaything: 0.0237, Acc.swimming pool: 0.3693, Acc.stool: 0.0274, Acc.barrel: 0.1951, Acc.basket: 0.0908, Acc.waterfall: 0.8186, Acc.tent: 0.9958, Acc.bag: 0.0073, Acc.minibike: 0.5595, Acc.cradle: 0.7253, Acc.oven: 0.1502, Acc.ball: 0.2402, Acc.food: 0.6108, Acc.step: 0.0371, Acc.tank: 0.1768, Acc.trade name: 0.1188, Acc.microwave: 0.1905, Acc.pot: 0.1769, Acc.animal: 0.4020, Acc.bicycle: 0.4419, Acc.lake: 0.0510, Acc.dishwasher: 0.0938, Acc.screen: 0.4958, Acc.blanket: 0.0000, Acc.sculpture: 0.2000, Acc.hood: 0.0654, Acc.sconce: 0.0061, Acc.vase: 0.1368, Acc.traffic light: 0.0573, Acc.tray: 0.0000, Acc.ashcan: 0.0738, Acc.fan: 0.1810, Acc.pier: 0.2176, Acc.crt screen: 0.0000, Acc.plate: 0.2388, Acc.monitor: 0.0808, Acc.bulletin board: 0.2695, Acc.shower: 0.0000, Acc.radiator: 0.1255, Acc.glass: 0.0024, Acc.clock: 0.0305, Acc.flag: 0.0757
2022-11-04 11:46:32,592 - mmseg - INFO - Iter [16050/80000]	lr: 9.810e-05, eta: 5:54:29, time: 0.496, data_time: 0.185, memory: 9985, decode.loss_ce: 0.6888, decode.acc_seg: 74.2818, aux.loss_ce: 0.3866, aux.acc_seg: 67.5387, loss: 1.0754
2022-11-04 11:46:48,673 - mmseg - INFO - Iter [16100/80000]	lr: 9.803e-05, eta: 5:54:10, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7124, decode.acc_seg: 74.1636, aux.loss_ce: 0.3879, aux.acc_seg: 67.4135, loss: 1.1004
2022-11-04 11:47:04,845 - mmseg - INFO - Iter [16150/80000]	lr: 9.796e-05, eta: 5:53:51, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7140, decode.acc_seg: 73.3533, aux.loss_ce: 0.3977, aux.acc_seg: 65.7651, loss: 1.1117
2022-11-04 11:47:20,918 - mmseg - INFO - Iter [16200/80000]	lr: 9.789e-05, eta: 5:53:33, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7103, decode.acc_seg: 73.6175, aux.loss_ce: 0.3910, aux.acc_seg: 66.9310, loss: 1.1013
2022-11-04 11:47:37,046 - mmseg - INFO - Iter [16250/80000]	lr: 9.782e-05, eta: 5:53:14, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7234, decode.acc_seg: 73.4429, aux.loss_ce: 0.4019, aux.acc_seg: 65.8093, loss: 1.1253
2022-11-04 11:47:53,050 - mmseg - INFO - Iter [16300/80000]	lr: 9.775e-05, eta: 5:52:55, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7045, decode.acc_seg: 73.9878, aux.loss_ce: 0.3856, aux.acc_seg: 66.5363, loss: 1.0901
2022-11-04 11:48:09,294 - mmseg - INFO - Iter [16350/80000]	lr: 9.768e-05, eta: 5:52:37, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6915, decode.acc_seg: 74.7107, aux.loss_ce: 0.3723, aux.acc_seg: 68.3968, loss: 1.0638
2022-11-04 11:48:25,425 - mmseg - INFO - Iter [16400/80000]	lr: 9.762e-05, eta: 5:52:18, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7131, decode.acc_seg: 73.8758, aux.loss_ce: 0.3891, aux.acc_seg: 67.1508, loss: 1.1022
2022-11-04 11:48:44,866 - mmseg - INFO - Iter [16450/80000]	lr: 9.755e-05, eta: 5:52:13, time: 0.389, data_time: 0.070, memory: 9985, decode.loss_ce: 0.6892, decode.acc_seg: 74.7363, aux.loss_ce: 0.3850, aux.acc_seg: 67.3138, loss: 1.0742
2022-11-04 11:49:01,129 - mmseg - INFO - Iter [16500/80000]	lr: 9.748e-05, eta: 5:51:55, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6993, decode.acc_seg: 74.0212, aux.loss_ce: 0.3890, aux.acc_seg: 66.4366, loss: 1.0884
2022-11-04 11:49:17,363 - mmseg - INFO - Iter [16550/80000]	lr: 9.741e-05, eta: 5:51:37, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6909, decode.acc_seg: 74.6133, aux.loss_ce: 0.3798, aux.acc_seg: 67.8075, loss: 1.0707
2022-11-04 11:49:33,576 - mmseg - INFO - Iter [16600/80000]	lr: 9.734e-05, eta: 5:51:18, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7241, decode.acc_seg: 73.7536, aux.loss_ce: 0.3967, aux.acc_seg: 67.0055, loss: 1.1208
2022-11-04 11:49:49,821 - mmseg - INFO - Iter [16650/80000]	lr: 9.727e-05, eta: 5:51:00, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6900, decode.acc_seg: 74.6608, aux.loss_ce: 0.3813, aux.acc_seg: 67.7135, loss: 1.0713
2022-11-04 11:50:06,043 - mmseg - INFO - Iter [16700/80000]	lr: 9.720e-05, eta: 5:50:42, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6965, decode.acc_seg: 73.9242, aux.loss_ce: 0.3892, aux.acc_seg: 66.8288, loss: 1.0858
2022-11-04 11:50:22,107 - mmseg - INFO - Iter [16750/80000]	lr: 9.713e-05, eta: 5:50:23, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6829, decode.acc_seg: 74.7968, aux.loss_ce: 0.3768, aux.acc_seg: 68.1257, loss: 1.0597
2022-11-04 11:50:38,213 - mmseg - INFO - Iter [16800/80000]	lr: 9.706e-05, eta: 5:50:05, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7210, decode.acc_seg: 73.6594, aux.loss_ce: 0.3955, aux.acc_seg: 66.2035, loss: 1.1164
2022-11-04 11:50:54,256 - mmseg - INFO - Iter [16850/80000]	lr: 9.699e-05, eta: 5:49:46, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7112, decode.acc_seg: 73.8551, aux.loss_ce: 0.3906, aux.acc_seg: 67.1217, loss: 1.1017
2022-11-04 11:51:10,228 - mmseg - INFO - Iter [16900/80000]	lr: 9.692e-05, eta: 5:49:27, time: 0.319, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7143, decode.acc_seg: 73.4202, aux.loss_ce: 0.3808, aux.acc_seg: 67.4190, loss: 1.0950
2022-11-04 11:51:26,203 - mmseg - INFO - Iter [16950/80000]	lr: 9.686e-05, eta: 5:49:08, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6803, decode.acc_seg: 74.4362, aux.loss_ce: 0.3801, aux.acc_seg: 67.5418, loss: 1.0604
2022-11-04 11:51:42,296 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 11:51:42,296 - mmseg - INFO - Iter [17000/80000]	lr: 9.679e-05, eta: 5:48:49, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7246, decode.acc_seg: 73.0253, aux.loss_ce: 0.3978, aux.acc_seg: 66.2309, loss: 1.1224
2022-11-04 11:52:01,589 - mmseg - INFO - Iter [17050/80000]	lr: 9.672e-05, eta: 5:48:43, time: 0.386, data_time: 0.055, memory: 9985, decode.loss_ce: 0.6861, decode.acc_seg: 74.4487, aux.loss_ce: 0.3861, aux.acc_seg: 67.4500, loss: 1.0722
2022-11-04 11:52:17,923 - mmseg - INFO - Iter [17100/80000]	lr: 9.665e-05, eta: 5:48:25, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6761, decode.acc_seg: 74.6784, aux.loss_ce: 0.3730, aux.acc_seg: 67.7814, loss: 1.0491
2022-11-04 11:52:34,055 - mmseg - INFO - Iter [17150/80000]	lr: 9.658e-05, eta: 5:48:07, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6694, decode.acc_seg: 75.4819, aux.loss_ce: 0.3753, aux.acc_seg: 68.0832, loss: 1.0447
2022-11-04 11:52:50,024 - mmseg - INFO - Iter [17200/80000]	lr: 9.651e-05, eta: 5:47:48, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6966, decode.acc_seg: 74.1092, aux.loss_ce: 0.3871, aux.acc_seg: 67.0078, loss: 1.0837
2022-11-04 11:53:06,127 - mmseg - INFO - Iter [17250/80000]	lr: 9.644e-05, eta: 5:47:29, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6763, decode.acc_seg: 75.0877, aux.loss_ce: 0.3758, aux.acc_seg: 68.0010, loss: 1.0521
2022-11-04 11:53:22,460 - mmseg - INFO - Iter [17300/80000]	lr: 9.637e-05, eta: 5:47:12, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6862, decode.acc_seg: 74.8379, aux.loss_ce: 0.3780, aux.acc_seg: 67.9405, loss: 1.0641
2022-11-04 11:53:38,784 - mmseg - INFO - Iter [17350/80000]	lr: 9.630e-05, eta: 5:46:54, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7055, decode.acc_seg: 74.4061, aux.loss_ce: 0.3956, aux.acc_seg: 67.3159, loss: 1.1011
2022-11-04 11:53:54,879 - mmseg - INFO - Iter [17400/80000]	lr: 9.623e-05, eta: 5:46:35, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6691, decode.acc_seg: 74.7009, aux.loss_ce: 0.3826, aux.acc_seg: 67.0908, loss: 1.0517
2022-11-04 11:54:10,942 - mmseg - INFO - Iter [17450/80000]	lr: 9.616e-05, eta: 5:46:17, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7040, decode.acc_seg: 74.2309, aux.loss_ce: 0.3874, aux.acc_seg: 67.4640, loss: 1.0913
2022-11-04 11:54:27,004 - mmseg - INFO - Iter [17500/80000]	lr: 9.609e-05, eta: 5:45:58, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6845, decode.acc_seg: 74.3150, aux.loss_ce: 0.3780, aux.acc_seg: 67.3863, loss: 1.0625
2022-11-04 11:54:43,111 - mmseg - INFO - Iter [17550/80000]	lr: 9.603e-05, eta: 5:45:40, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7063, decode.acc_seg: 73.8786, aux.loss_ce: 0.3919, aux.acc_seg: 66.9588, loss: 1.0982
2022-11-04 11:54:59,313 - mmseg - INFO - Iter [17600/80000]	lr: 9.596e-05, eta: 5:45:22, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6861, decode.acc_seg: 74.6272, aux.loss_ce: 0.3818, aux.acc_seg: 67.8387, loss: 1.0679
2022-11-04 11:55:15,448 - mmseg - INFO - Iter [17650/80000]	lr: 9.589e-05, eta: 5:45:04, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6991, decode.acc_seg: 74.2400, aux.loss_ce: 0.3893, aux.acc_seg: 66.9070, loss: 1.0884
2022-11-04 11:55:34,665 - mmseg - INFO - Iter [17700/80000]	lr: 9.582e-05, eta: 5:44:56, time: 0.384, data_time: 0.066, memory: 9985, decode.loss_ce: 0.6762, decode.acc_seg: 74.7456, aux.loss_ce: 0.3763, aux.acc_seg: 67.5146, loss: 1.0526
2022-11-04 11:55:50,986 - mmseg - INFO - Iter [17750/80000]	lr: 9.575e-05, eta: 5:44:39, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6760, decode.acc_seg: 75.0821, aux.loss_ce: 0.3799, aux.acc_seg: 67.6744, loss: 1.0559
2022-11-04 11:56:07,170 - mmseg - INFO - Iter [17800/80000]	lr: 9.568e-05, eta: 5:44:21, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6881, decode.acc_seg: 75.0263, aux.loss_ce: 0.3776, aux.acc_seg: 67.9998, loss: 1.0657
2022-11-04 11:56:23,316 - mmseg - INFO - Iter [17850/80000]	lr: 9.561e-05, eta: 5:44:02, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6829, decode.acc_seg: 74.9131, aux.loss_ce: 0.3800, aux.acc_seg: 67.7440, loss: 1.0628
2022-11-04 11:56:39,511 - mmseg - INFO - Iter [17900/80000]	lr: 9.554e-05, eta: 5:43:44, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6784, decode.acc_seg: 74.6976, aux.loss_ce: 0.3832, aux.acc_seg: 67.2211, loss: 1.0616
2022-11-04 11:56:55,924 - mmseg - INFO - Iter [17950/80000]	lr: 9.547e-05, eta: 5:43:27, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6860, decode.acc_seg: 74.7232, aux.loss_ce: 0.3831, aux.acc_seg: 67.4646, loss: 1.0690
2022-11-04 11:57:12,168 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 11:57:12,169 - mmseg - INFO - Iter [18000/80000]	lr: 9.540e-05, eta: 5:43:09, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6792, decode.acc_seg: 74.7025, aux.loss_ce: 0.3828, aux.acc_seg: 66.9300, loss: 1.0621
2022-11-04 11:57:28,313 - mmseg - INFO - Iter [18050/80000]	lr: 9.533e-05, eta: 5:42:51, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.7014, decode.acc_seg: 74.4834, aux.loss_ce: 0.3904, aux.acc_seg: 67.2838, loss: 1.0917
2022-11-04 11:57:44,543 - mmseg - INFO - Iter [18100/80000]	lr: 9.526e-05, eta: 5:42:33, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6840, decode.acc_seg: 74.4932, aux.loss_ce: 0.3828, aux.acc_seg: 67.3167, loss: 1.0668
2022-11-04 11:58:00,766 - mmseg - INFO - Iter [18150/80000]	lr: 9.519e-05, eta: 5:42:15, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.7008, decode.acc_seg: 74.2612, aux.loss_ce: 0.3908, aux.acc_seg: 66.7469, loss: 1.0916
2022-11-04 11:58:16,922 - mmseg - INFO - Iter [18200/80000]	lr: 9.513e-05, eta: 5:41:57, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6862, decode.acc_seg: 74.4676, aux.loss_ce: 0.3776, aux.acc_seg: 67.8964, loss: 1.0639
2022-11-04 11:58:33,216 - mmseg - INFO - Iter [18250/80000]	lr: 9.506e-05, eta: 5:41:39, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6662, decode.acc_seg: 75.4652, aux.loss_ce: 0.3713, aux.acc_seg: 68.2718, loss: 1.0375
2022-11-04 11:58:52,413 - mmseg - INFO - Iter [18300/80000]	lr: 9.499e-05, eta: 5:41:31, time: 0.384, data_time: 0.067, memory: 9985, decode.loss_ce: 0.6985, decode.acc_seg: 74.2027, aux.loss_ce: 0.3841, aux.acc_seg: 67.4981, loss: 1.0825
2022-11-04 11:59:08,889 - mmseg - INFO - Iter [18350/80000]	lr: 9.492e-05, eta: 5:41:15, time: 0.330, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6791, decode.acc_seg: 74.6211, aux.loss_ce: 0.3871, aux.acc_seg: 67.1236, loss: 1.0662
2022-11-04 11:59:25,141 - mmseg - INFO - Iter [18400/80000]	lr: 9.485e-05, eta: 5:40:57, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6782, decode.acc_seg: 74.9129, aux.loss_ce: 0.3780, aux.acc_seg: 67.9698, loss: 1.0562
2022-11-04 11:59:41,327 - mmseg - INFO - Iter [18450/80000]	lr: 9.478e-05, eta: 5:40:39, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6724, decode.acc_seg: 74.4422, aux.loss_ce: 0.3772, aux.acc_seg: 67.3966, loss: 1.0496
2022-11-04 11:59:57,263 - mmseg - INFO - Iter [18500/80000]	lr: 9.471e-05, eta: 5:40:20, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6866, decode.acc_seg: 74.7556, aux.loss_ce: 0.3764, aux.acc_seg: 67.7533, loss: 1.0630
2022-11-04 12:00:13,508 - mmseg - INFO - Iter [18550/80000]	lr: 9.464e-05, eta: 5:40:02, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6690, decode.acc_seg: 74.9742, aux.loss_ce: 0.3757, aux.acc_seg: 67.5355, loss: 1.0448
2022-11-04 12:00:29,800 - mmseg - INFO - Iter [18600/80000]	lr: 9.457e-05, eta: 5:39:44, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6667, decode.acc_seg: 74.9370, aux.loss_ce: 0.3793, aux.acc_seg: 67.8698, loss: 1.0460
2022-11-04 12:00:45,715 - mmseg - INFO - Iter [18650/80000]	lr: 9.450e-05, eta: 5:39:26, time: 0.318, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6637, decode.acc_seg: 75.2086, aux.loss_ce: 0.3727, aux.acc_seg: 68.2793, loss: 1.0363
2022-11-04 12:01:02,105 - mmseg - INFO - Iter [18700/80000]	lr: 9.443e-05, eta: 5:39:08, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6801, decode.acc_seg: 75.2502, aux.loss_ce: 0.3778, aux.acc_seg: 67.9104, loss: 1.0579
2022-11-04 12:01:18,054 - mmseg - INFO - Iter [18750/80000]	lr: 9.436e-05, eta: 5:38:50, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6912, decode.acc_seg: 74.6265, aux.loss_ce: 0.3879, aux.acc_seg: 67.2232, loss: 1.0791
2022-11-04 12:01:34,124 - mmseg - INFO - Iter [18800/80000]	lr: 9.429e-05, eta: 5:38:31, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6914, decode.acc_seg: 74.3636, aux.loss_ce: 0.3925, aux.acc_seg: 66.7187, loss: 1.0840
2022-11-04 12:01:50,218 - mmseg - INFO - Iter [18850/80000]	lr: 9.422e-05, eta: 5:38:13, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6915, decode.acc_seg: 75.1915, aux.loss_ce: 0.3785, aux.acc_seg: 67.7983, loss: 1.0700
2022-11-04 12:02:07,094 - mmseg - INFO - Iter [18900/80000]	lr: 9.416e-05, eta: 5:37:57, time: 0.338, data_time: 0.023, memory: 9985, decode.loss_ce: 0.6514, decode.acc_seg: 75.3183, aux.loss_ce: 0.3633, aux.acc_seg: 68.4263, loss: 1.0147
2022-11-04 12:02:26,131 - mmseg - INFO - Iter [18950/80000]	lr: 9.409e-05, eta: 5:37:49, time: 0.381, data_time: 0.066, memory: 9985, decode.loss_ce: 0.6694, decode.acc_seg: 75.2449, aux.loss_ce: 0.3782, aux.acc_seg: 67.8000, loss: 1.0476
2022-11-04 12:02:42,369 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 12:02:42,369 - mmseg - INFO - Iter [19000/80000]	lr: 9.402e-05, eta: 5:37:31, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6678, decode.acc_seg: 75.0079, aux.loss_ce: 0.3726, aux.acc_seg: 67.7448, loss: 1.0404
2022-11-04 12:02:58,434 - mmseg - INFO - Iter [19050/80000]	lr: 9.395e-05, eta: 5:37:13, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6505, decode.acc_seg: 75.4527, aux.loss_ce: 0.3660, aux.acc_seg: 68.4697, loss: 1.0165
2022-11-04 12:03:14,562 - mmseg - INFO - Iter [19100/80000]	lr: 9.388e-05, eta: 5:36:55, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6804, decode.acc_seg: 74.8686, aux.loss_ce: 0.3830, aux.acc_seg: 67.7414, loss: 1.0634
2022-11-04 12:03:30,915 - mmseg - INFO - Iter [19150/80000]	lr: 9.381e-05, eta: 5:36:37, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6954, decode.acc_seg: 74.1755, aux.loss_ce: 0.3871, aux.acc_seg: 67.3299, loss: 1.0824
2022-11-04 12:03:47,147 - mmseg - INFO - Iter [19200/80000]	lr: 9.374e-05, eta: 5:36:19, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6647, decode.acc_seg: 75.5277, aux.loss_ce: 0.3749, aux.acc_seg: 68.0212, loss: 1.0396
2022-11-04 12:04:03,163 - mmseg - INFO - Iter [19250/80000]	lr: 9.367e-05, eta: 5:36:01, time: 0.320, data_time: 0.008, memory: 9985, decode.loss_ce: 0.6758, decode.acc_seg: 75.0148, aux.loss_ce: 0.3780, aux.acc_seg: 67.7266, loss: 1.0538
2022-11-04 12:04:19,413 - mmseg - INFO - Iter [19300/80000]	lr: 9.360e-05, eta: 5:35:43, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6683, decode.acc_seg: 75.3100, aux.loss_ce: 0.3704, aux.acc_seg: 68.5154, loss: 1.0387
2022-11-04 12:04:35,609 - mmseg - INFO - Iter [19350/80000]	lr: 9.353e-05, eta: 5:35:25, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6872, decode.acc_seg: 74.4602, aux.loss_ce: 0.3855, aux.acc_seg: 66.8551, loss: 1.0727
2022-11-04 12:04:51,834 - mmseg - INFO - Iter [19400/80000]	lr: 9.346e-05, eta: 5:35:08, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6610, decode.acc_seg: 75.3015, aux.loss_ce: 0.3783, aux.acc_seg: 67.3796, loss: 1.0394
2022-11-04 12:05:07,966 - mmseg - INFO - Iter [19450/80000]	lr: 9.339e-05, eta: 5:34:50, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6790, decode.acc_seg: 74.5906, aux.loss_ce: 0.3834, aux.acc_seg: 67.0968, loss: 1.0624
2022-11-04 12:05:23,994 - mmseg - INFO - Iter [19500/80000]	lr: 9.332e-05, eta: 5:34:31, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6661, decode.acc_seg: 75.1807, aux.loss_ce: 0.3768, aux.acc_seg: 67.5206, loss: 1.0430
2022-11-04 12:05:40,102 - mmseg - INFO - Iter [19550/80000]	lr: 9.325e-05, eta: 5:34:13, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6979, decode.acc_seg: 74.2801, aux.loss_ce: 0.3807, aux.acc_seg: 67.5815, loss: 1.0786
2022-11-04 12:05:59,533 - mmseg - INFO - Iter [19600/80000]	lr: 9.318e-05, eta: 5:34:05, time: 0.389, data_time: 0.062, memory: 9985, decode.loss_ce: 0.6530, decode.acc_seg: 75.3190, aux.loss_ce: 0.3714, aux.acc_seg: 68.2122, loss: 1.0244
2022-11-04 12:06:15,662 - mmseg - INFO - Iter [19650/80000]	lr: 9.311e-05, eta: 5:33:47, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6809, decode.acc_seg: 75.0313, aux.loss_ce: 0.3838, aux.acc_seg: 67.4996, loss: 1.0648
2022-11-04 12:06:31,965 - mmseg - INFO - Iter [19700/80000]	lr: 9.304e-05, eta: 5:33:30, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6649, decode.acc_seg: 74.9671, aux.loss_ce: 0.3789, aux.acc_seg: 66.9491, loss: 1.0439
2022-11-04 12:06:48,255 - mmseg - INFO - Iter [19750/80000]	lr: 9.298e-05, eta: 5:33:12, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6601, decode.acc_seg: 75.0808, aux.loss_ce: 0.3659, aux.acc_seg: 68.4024, loss: 1.0260
2022-11-04 12:07:04,668 - mmseg - INFO - Iter [19800/80000]	lr: 9.291e-05, eta: 5:32:55, time: 0.328, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6913, decode.acc_seg: 74.0066, aux.loss_ce: 0.3836, aux.acc_seg: 67.4834, loss: 1.0749
2022-11-04 12:07:20,903 - mmseg - INFO - Iter [19850/80000]	lr: 9.284e-05, eta: 5:32:38, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6579, decode.acc_seg: 75.4212, aux.loss_ce: 0.3634, aux.acc_seg: 68.4041, loss: 1.0213
2022-11-04 12:07:37,147 - mmseg - INFO - Iter [19900/80000]	lr: 9.277e-05, eta: 5:32:20, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6684, decode.acc_seg: 75.1051, aux.loss_ce: 0.3810, aux.acc_seg: 67.9290, loss: 1.0494
2022-11-04 12:07:53,576 - mmseg - INFO - Iter [19950/80000]	lr: 9.270e-05, eta: 5:32:03, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6526, decode.acc_seg: 75.2176, aux.loss_ce: 0.3576, aux.acc_seg: 68.7101, loss: 1.0102
2022-11-04 12:08:09,769 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 12:08:09,769 - mmseg - INFO - Iter [20000/80000]	lr: 9.263e-05, eta: 5:31:45, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6632, decode.acc_seg: 75.9262, aux.loss_ce: 0.3718, aux.acc_seg: 68.5989, loss: 1.0350
2022-11-04 12:08:25,871 - mmseg - INFO - Iter [20050/80000]	lr: 9.256e-05, eta: 5:31:27, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6742, decode.acc_seg: 75.0555, aux.loss_ce: 0.3827, aux.acc_seg: 67.2230, loss: 1.0569
2022-11-04 12:08:42,282 - mmseg - INFO - Iter [20100/80000]	lr: 9.249e-05, eta: 5:31:10, time: 0.328, data_time: 0.008, memory: 9985, decode.loss_ce: 0.6724, decode.acc_seg: 75.4602, aux.loss_ce: 0.3737, aux.acc_seg: 68.3626, loss: 1.0461
2022-11-04 12:08:58,554 - mmseg - INFO - Iter [20150/80000]	lr: 9.242e-05, eta: 5:30:52, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6841, decode.acc_seg: 74.8237, aux.loss_ce: 0.3779, aux.acc_seg: 67.7775, loss: 1.0620
2022-11-04 12:09:17,898 - mmseg - INFO - Iter [20200/80000]	lr: 9.235e-05, eta: 5:30:44, time: 0.387, data_time: 0.060, memory: 9985, decode.loss_ce: 0.6631, decode.acc_seg: 75.6178, aux.loss_ce: 0.3691, aux.acc_seg: 68.3042, loss: 1.0322
2022-11-04 12:09:33,829 - mmseg - INFO - Iter [20250/80000]	lr: 9.228e-05, eta: 5:30:25, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6471, decode.acc_seg: 75.9999, aux.loss_ce: 0.3722, aux.acc_seg: 68.3469, loss: 1.0192
2022-11-04 12:09:49,839 - mmseg - INFO - Iter [20300/80000]	lr: 9.221e-05, eta: 5:30:07, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6460, decode.acc_seg: 75.6301, aux.loss_ce: 0.3655, aux.acc_seg: 68.4307, loss: 1.0116
2022-11-04 12:10:05,960 - mmseg - INFO - Iter [20350/80000]	lr: 9.214e-05, eta: 5:29:49, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6498, decode.acc_seg: 75.8815, aux.loss_ce: 0.3661, aux.acc_seg: 68.3530, loss: 1.0159
2022-11-04 12:10:22,332 - mmseg - INFO - Iter [20400/80000]	lr: 9.207e-05, eta: 5:29:32, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6833, decode.acc_seg: 74.9696, aux.loss_ce: 0.3802, aux.acc_seg: 67.7389, loss: 1.0636
2022-11-04 12:10:38,464 - mmseg - INFO - Iter [20450/80000]	lr: 9.200e-05, eta: 5:29:14, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6625, decode.acc_seg: 75.1021, aux.loss_ce: 0.3637, aux.acc_seg: 68.5575, loss: 1.0261
2022-11-04 12:10:54,479 - mmseg - INFO - Iter [20500/80000]	lr: 9.193e-05, eta: 5:28:56, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6609, decode.acc_seg: 75.3052, aux.loss_ce: 0.3721, aux.acc_seg: 67.5393, loss: 1.0331
2022-11-04 12:11:10,774 - mmseg - INFO - Iter [20550/80000]	lr: 9.186e-05, eta: 5:28:38, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6573, decode.acc_seg: 75.4731, aux.loss_ce: 0.3706, aux.acc_seg: 68.0721, loss: 1.0279
2022-11-04 12:11:27,081 - mmseg - INFO - Iter [20600/80000]	lr: 9.179e-05, eta: 5:28:21, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6589, decode.acc_seg: 75.5865, aux.loss_ce: 0.3656, aux.acc_seg: 68.2794, loss: 1.0244
2022-11-04 12:11:43,251 - mmseg - INFO - Iter [20650/80000]	lr: 9.172e-05, eta: 5:28:03, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6756, decode.acc_seg: 74.7647, aux.loss_ce: 0.3785, aux.acc_seg: 67.3659, loss: 1.0542
2022-11-04 12:11:59,586 - mmseg - INFO - Iter [20700/80000]	lr: 9.165e-05, eta: 5:27:46, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6534, decode.acc_seg: 75.3353, aux.loss_ce: 0.3712, aux.acc_seg: 67.7414, loss: 1.0246
2022-11-04 12:12:15,839 - mmseg - INFO - Iter [20750/80000]	lr: 9.159e-05, eta: 5:27:28, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6646, decode.acc_seg: 74.9246, aux.loss_ce: 0.3762, aux.acc_seg: 67.5665, loss: 1.0408
2022-11-04 12:12:31,862 - mmseg - INFO - Iter [20800/80000]	lr: 9.152e-05, eta: 5:27:10, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6768, decode.acc_seg: 75.2133, aux.loss_ce: 0.3893, aux.acc_seg: 66.9864, loss: 1.0661
2022-11-04 12:12:50,889 - mmseg - INFO - Iter [20850/80000]	lr: 9.145e-05, eta: 5:27:01, time: 0.381, data_time: 0.061, memory: 9985, decode.loss_ce: 0.6549, decode.acc_seg: 75.6039, aux.loss_ce: 0.3697, aux.acc_seg: 68.3841, loss: 1.0245
2022-11-04 12:13:07,229 - mmseg - INFO - Iter [20900/80000]	lr: 9.138e-05, eta: 5:26:43, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6599, decode.acc_seg: 75.3812, aux.loss_ce: 0.3734, aux.acc_seg: 67.8240, loss: 1.0333
2022-11-04 12:13:23,492 - mmseg - INFO - Iter [20950/80000]	lr: 9.131e-05, eta: 5:26:26, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6444, decode.acc_seg: 76.1678, aux.loss_ce: 0.3661, aux.acc_seg: 68.8550, loss: 1.0105
2022-11-04 12:13:39,793 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 12:13:39,793 - mmseg - INFO - Iter [21000/80000]	lr: 9.124e-05, eta: 5:26:08, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6597, decode.acc_seg: 75.0754, aux.loss_ce: 0.3753, aux.acc_seg: 67.7747, loss: 1.0350
2022-11-04 12:13:55,961 - mmseg - INFO - Iter [21050/80000]	lr: 9.117e-05, eta: 5:25:51, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6377, decode.acc_seg: 76.1753, aux.loss_ce: 0.3653, aux.acc_seg: 68.6181, loss: 1.0029
2022-11-04 12:14:12,406 - mmseg - INFO - Iter [21100/80000]	lr: 9.110e-05, eta: 5:25:34, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6699, decode.acc_seg: 75.2064, aux.loss_ce: 0.3803, aux.acc_seg: 67.6667, loss: 1.0502
2022-11-04 12:14:28,563 - mmseg - INFO - Iter [21150/80000]	lr: 9.103e-05, eta: 5:25:16, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6496, decode.acc_seg: 75.6378, aux.loss_ce: 0.3633, aux.acc_seg: 68.4540, loss: 1.0130
2022-11-04 12:14:44,832 - mmseg - INFO - Iter [21200/80000]	lr: 9.096e-05, eta: 5:24:59, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6295, decode.acc_seg: 76.3139, aux.loss_ce: 0.3604, aux.acc_seg: 68.7386, loss: 0.9900
2022-11-04 12:15:01,015 - mmseg - INFO - Iter [21250/80000]	lr: 9.089e-05, eta: 5:24:41, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6555, decode.acc_seg: 75.5973, aux.loss_ce: 0.3710, aux.acc_seg: 68.4354, loss: 1.0265
2022-11-04 12:15:17,205 - mmseg - INFO - Iter [21300/80000]	lr: 9.082e-05, eta: 5:24:23, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6710, decode.acc_seg: 75.2171, aux.loss_ce: 0.3712, aux.acc_seg: 68.5510, loss: 1.0422
2022-11-04 12:15:33,571 - mmseg - INFO - Iter [21350/80000]	lr: 9.075e-05, eta: 5:24:06, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6577, decode.acc_seg: 75.4006, aux.loss_ce: 0.3724, aux.acc_seg: 67.7847, loss: 1.0300
2022-11-04 12:15:49,865 - mmseg - INFO - Iter [21400/80000]	lr: 9.068e-05, eta: 5:23:49, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6490, decode.acc_seg: 75.4534, aux.loss_ce: 0.3627, aux.acc_seg: 68.6414, loss: 1.0117
2022-11-04 12:16:05,719 - mmseg - INFO - Iter [21450/80000]	lr: 9.061e-05, eta: 5:23:30, time: 0.317, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6995, decode.acc_seg: 74.0760, aux.loss_ce: 0.3950, aux.acc_seg: 66.7808, loss: 1.0945
2022-11-04 12:16:24,834 - mmseg - INFO - Iter [21500/80000]	lr: 9.054e-05, eta: 5:23:20, time: 0.382, data_time: 0.063, memory: 9985, decode.loss_ce: 0.6396, decode.acc_seg: 76.4143, aux.loss_ce: 0.3682, aux.acc_seg: 68.7882, loss: 1.0078
2022-11-04 12:16:41,029 - mmseg - INFO - Iter [21550/80000]	lr: 9.047e-05, eta: 5:23:03, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6458, decode.acc_seg: 75.8329, aux.loss_ce: 0.3664, aux.acc_seg: 68.6568, loss: 1.0122
2022-11-04 12:16:57,008 - mmseg - INFO - Iter [21600/80000]	lr: 9.040e-05, eta: 5:22:45, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6461, decode.acc_seg: 75.6848, aux.loss_ce: 0.3714, aux.acc_seg: 67.5727, loss: 1.0174
2022-11-04 12:17:13,234 - mmseg - INFO - Iter [21650/80000]	lr: 9.033e-05, eta: 5:22:27, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6503, decode.acc_seg: 75.0108, aux.loss_ce: 0.3700, aux.acc_seg: 67.8845, loss: 1.0203
2022-11-04 12:17:29,444 - mmseg - INFO - Iter [21700/80000]	lr: 9.026e-05, eta: 5:22:10, time: 0.324, data_time: 0.008, memory: 9985, decode.loss_ce: 0.6300, decode.acc_seg: 76.5734, aux.loss_ce: 0.3596, aux.acc_seg: 69.2327, loss: 0.9896
2022-11-04 12:17:45,686 - mmseg - INFO - Iter [21750/80000]	lr: 9.019e-05, eta: 5:21:52, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6604, decode.acc_seg: 75.3893, aux.loss_ce: 0.3710, aux.acc_seg: 68.1700, loss: 1.0314
2022-11-04 12:18:01,778 - mmseg - INFO - Iter [21800/80000]	lr: 9.012e-05, eta: 5:21:34, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6718, decode.acc_seg: 75.5366, aux.loss_ce: 0.3744, aux.acc_seg: 68.2699, loss: 1.0462
2022-11-04 12:18:17,883 - mmseg - INFO - Iter [21850/80000]	lr: 9.005e-05, eta: 5:21:16, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6655, decode.acc_seg: 75.0499, aux.loss_ce: 0.3756, aux.acc_seg: 67.5757, loss: 1.0410
2022-11-04 12:18:34,227 - mmseg - INFO - Iter [21900/80000]	lr: 8.998e-05, eta: 5:20:59, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6693, decode.acc_seg: 75.0580, aux.loss_ce: 0.3820, aux.acc_seg: 67.3911, loss: 1.0513
2022-11-04 12:18:50,354 - mmseg - INFO - Iter [21950/80000]	lr: 8.991e-05, eta: 5:20:41, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6322, decode.acc_seg: 76.6185, aux.loss_ce: 0.3589, aux.acc_seg: 69.2621, loss: 0.9911
2022-11-04 12:19:06,655 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 12:19:06,655 - mmseg - INFO - Iter [22000/80000]	lr: 8.984e-05, eta: 5:20:24, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6660, decode.acc_seg: 74.6053, aux.loss_ce: 0.3670, aux.acc_seg: 67.7971, loss: 1.0330
2022-11-04 12:19:22,766 - mmseg - INFO - Iter [22050/80000]	lr: 8.977e-05, eta: 5:20:06, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6504, decode.acc_seg: 75.8895, aux.loss_ce: 0.3656, aux.acc_seg: 68.3508, loss: 1.0160
2022-11-04 12:19:41,710 - mmseg - INFO - Iter [22100/80000]	lr: 8.971e-05, eta: 5:19:56, time: 0.379, data_time: 0.062, memory: 9985, decode.loss_ce: 0.6330, decode.acc_seg: 76.4314, aux.loss_ce: 0.3642, aux.acc_seg: 68.8181, loss: 0.9973
2022-11-04 12:19:57,767 - mmseg - INFO - Iter [22150/80000]	lr: 8.964e-05, eta: 5:19:38, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6428, decode.acc_seg: 76.2478, aux.loss_ce: 0.3665, aux.acc_seg: 68.5837, loss: 1.0093
2022-11-04 12:20:13,843 - mmseg - INFO - Iter [22200/80000]	lr: 8.957e-05, eta: 5:19:20, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6701, decode.acc_seg: 75.1101, aux.loss_ce: 0.3737, aux.acc_seg: 67.9895, loss: 1.0438
2022-11-04 12:20:30,113 - mmseg - INFO - Iter [22250/80000]	lr: 8.950e-05, eta: 5:19:03, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6417, decode.acc_seg: 75.7200, aux.loss_ce: 0.3679, aux.acc_seg: 68.2516, loss: 1.0095
2022-11-04 12:20:46,347 - mmseg - INFO - Iter [22300/80000]	lr: 8.943e-05, eta: 5:18:45, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6441, decode.acc_seg: 75.7306, aux.loss_ce: 0.3656, aux.acc_seg: 68.3518, loss: 1.0096
2022-11-04 12:21:02,364 - mmseg - INFO - Iter [22350/80000]	lr: 8.936e-05, eta: 5:18:27, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6459, decode.acc_seg: 76.0363, aux.loss_ce: 0.3610, aux.acc_seg: 69.0414, loss: 1.0069
2022-11-04 12:21:18,361 - mmseg - INFO - Iter [22400/80000]	lr: 8.929e-05, eta: 5:18:09, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6460, decode.acc_seg: 75.6790, aux.loss_ce: 0.3592, aux.acc_seg: 68.8047, loss: 1.0051
2022-11-04 12:21:34,555 - mmseg - INFO - Iter [22450/80000]	lr: 8.922e-05, eta: 5:17:52, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6471, decode.acc_seg: 75.4976, aux.loss_ce: 0.3662, aux.acc_seg: 68.4838, loss: 1.0134
2022-11-04 12:21:50,660 - mmseg - INFO - Iter [22500/80000]	lr: 8.915e-05, eta: 5:17:34, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6635, decode.acc_seg: 75.3815, aux.loss_ce: 0.3772, aux.acc_seg: 67.4977, loss: 1.0407
2022-11-04 12:22:07,108 - mmseg - INFO - Iter [22550/80000]	lr: 8.908e-05, eta: 5:17:17, time: 0.329, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6632, decode.acc_seg: 75.3058, aux.loss_ce: 0.3761, aux.acc_seg: 67.6479, loss: 1.0393
2022-11-04 12:22:23,151 - mmseg - INFO - Iter [22600/80000]	lr: 8.901e-05, eta: 5:16:59, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6449, decode.acc_seg: 76.2352, aux.loss_ce: 0.3625, aux.acc_seg: 68.8002, loss: 1.0074
2022-11-04 12:22:39,332 - mmseg - INFO - Iter [22650/80000]	lr: 8.894e-05, eta: 5:16:42, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6505, decode.acc_seg: 75.9047, aux.loss_ce: 0.3641, aux.acc_seg: 68.9979, loss: 1.0146
2022-11-04 12:22:55,834 - mmseg - INFO - Iter [22700/80000]	lr: 8.887e-05, eta: 5:16:25, time: 0.330, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6723, decode.acc_seg: 75.0587, aux.loss_ce: 0.3788, aux.acc_seg: 67.3982, loss: 1.0511
2022-11-04 12:23:15,032 - mmseg - INFO - Iter [22750/80000]	lr: 8.880e-05, eta: 5:16:15, time: 0.384, data_time: 0.061, memory: 9985, decode.loss_ce: 0.6349, decode.acc_seg: 76.5237, aux.loss_ce: 0.3633, aux.acc_seg: 68.8869, loss: 0.9982
2022-11-04 12:23:31,127 - mmseg - INFO - Iter [22800/80000]	lr: 8.873e-05, eta: 5:15:57, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6606, decode.acc_seg: 75.5185, aux.loss_ce: 0.3800, aux.acc_seg: 67.6233, loss: 1.0407
2022-11-04 12:23:47,401 - mmseg - INFO - Iter [22850/80000]	lr: 8.866e-05, eta: 5:15:40, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6411, decode.acc_seg: 75.6995, aux.loss_ce: 0.3602, aux.acc_seg: 68.8826, loss: 1.0012
2022-11-04 12:24:03,532 - mmseg - INFO - Iter [22900/80000]	lr: 8.859e-05, eta: 5:15:22, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6409, decode.acc_seg: 76.3168, aux.loss_ce: 0.3589, aux.acc_seg: 69.5475, loss: 0.9998
2022-11-04 12:24:19,654 - mmseg - INFO - Iter [22950/80000]	lr: 8.852e-05, eta: 5:15:04, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6390, decode.acc_seg: 76.1437, aux.loss_ce: 0.3565, aux.acc_seg: 69.1813, loss: 0.9955
2022-11-04 12:24:35,981 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 12:24:35,981 - mmseg - INFO - Iter [23000/80000]	lr: 8.845e-05, eta: 5:14:47, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6412, decode.acc_seg: 76.0968, aux.loss_ce: 0.3718, aux.acc_seg: 68.0072, loss: 1.0131
2022-11-04 12:24:52,023 - mmseg - INFO - Iter [23050/80000]	lr: 8.838e-05, eta: 5:14:29, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6288, decode.acc_seg: 76.1537, aux.loss_ce: 0.3639, aux.acc_seg: 68.4639, loss: 0.9927
2022-11-04 12:25:08,451 - mmseg - INFO - Iter [23100/80000]	lr: 8.831e-05, eta: 5:14:13, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6502, decode.acc_seg: 75.5630, aux.loss_ce: 0.3679, aux.acc_seg: 68.2091, loss: 1.0181
2022-11-04 12:25:24,517 - mmseg - INFO - Iter [23150/80000]	lr: 8.824e-05, eta: 5:13:55, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6659, decode.acc_seg: 75.0563, aux.loss_ce: 0.3801, aux.acc_seg: 67.1619, loss: 1.0460
2022-11-04 12:25:40,737 - mmseg - INFO - Iter [23200/80000]	lr: 8.817e-05, eta: 5:13:37, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6371, decode.acc_seg: 75.7542, aux.loss_ce: 0.3581, aux.acc_seg: 68.3789, loss: 0.9952
2022-11-04 12:25:56,890 - mmseg - INFO - Iter [23250/80000]	lr: 8.810e-05, eta: 5:13:20, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6448, decode.acc_seg: 76.2175, aux.loss_ce: 0.3694, aux.acc_seg: 68.5694, loss: 1.0142
2022-11-04 12:26:12,861 - mmseg - INFO - Iter [23300/80000]	lr: 8.803e-05, eta: 5:13:02, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6513, decode.acc_seg: 75.7327, aux.loss_ce: 0.3702, aux.acc_seg: 68.7316, loss: 1.0215
2022-11-04 12:26:32,112 - mmseg - INFO - Iter [23350/80000]	lr: 8.796e-05, eta: 5:12:52, time: 0.385, data_time: 0.064, memory: 9985, decode.loss_ce: 0.6637, decode.acc_seg: 74.9434, aux.loss_ce: 0.3697, aux.acc_seg: 68.0728, loss: 1.0334
2022-11-04 12:26:48,203 - mmseg - INFO - Iter [23400/80000]	lr: 8.789e-05, eta: 5:12:34, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6153, decode.acc_seg: 76.2665, aux.loss_ce: 0.3558, aux.acc_seg: 68.7719, loss: 0.9711
2022-11-04 12:27:04,299 - mmseg - INFO - Iter [23450/80000]	lr: 8.782e-05, eta: 5:12:16, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6253, decode.acc_seg: 76.7063, aux.loss_ce: 0.3600, aux.acc_seg: 68.9847, loss: 0.9853
2022-11-04 12:27:20,853 - mmseg - INFO - Iter [23500/80000]	lr: 8.775e-05, eta: 5:12:00, time: 0.331, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6472, decode.acc_seg: 75.6693, aux.loss_ce: 0.3701, aux.acc_seg: 68.1621, loss: 1.0172
2022-11-04 12:27:37,071 - mmseg - INFO - Iter [23550/80000]	lr: 8.768e-05, eta: 5:11:42, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6503, decode.acc_seg: 75.6425, aux.loss_ce: 0.3663, aux.acc_seg: 68.4464, loss: 1.0167
2022-11-04 12:27:53,358 - mmseg - INFO - Iter [23600/80000]	lr: 8.761e-05, eta: 5:11:25, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6261, decode.acc_seg: 76.6508, aux.loss_ce: 0.3586, aux.acc_seg: 69.2326, loss: 0.9847
2022-11-04 12:28:09,359 - mmseg - INFO - Iter [23650/80000]	lr: 8.754e-05, eta: 5:11:07, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6620, decode.acc_seg: 75.7885, aux.loss_ce: 0.3777, aux.acc_seg: 67.9575, loss: 1.0397
2022-11-04 12:28:25,394 - mmseg - INFO - Iter [23700/80000]	lr: 8.747e-05, eta: 5:10:49, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6339, decode.acc_seg: 76.2775, aux.loss_ce: 0.3657, aux.acc_seg: 68.4906, loss: 0.9995
2022-11-04 12:28:41,467 - mmseg - INFO - Iter [23750/80000]	lr: 8.740e-05, eta: 5:10:32, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6667, decode.acc_seg: 75.2956, aux.loss_ce: 0.3730, aux.acc_seg: 68.0042, loss: 1.0397
2022-11-04 12:28:57,407 - mmseg - INFO - Iter [23800/80000]	lr: 8.733e-05, eta: 5:10:14, time: 0.319, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6280, decode.acc_seg: 76.4670, aux.loss_ce: 0.3586, aux.acc_seg: 68.6903, loss: 0.9867
2022-11-04 12:29:13,527 - mmseg - INFO - Iter [23850/80000]	lr: 8.726e-05, eta: 5:09:56, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6205, decode.acc_seg: 76.3503, aux.loss_ce: 0.3733, aux.acc_seg: 67.7109, loss: 0.9939
2022-11-04 12:29:29,478 - mmseg - INFO - Iter [23900/80000]	lr: 8.719e-05, eta: 5:09:38, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6154, decode.acc_seg: 77.0037, aux.loss_ce: 0.3590, aux.acc_seg: 69.3321, loss: 0.9744
2022-11-04 12:29:45,803 - mmseg - INFO - Iter [23950/80000]	lr: 8.712e-05, eta: 5:09:21, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6425, decode.acc_seg: 75.9873, aux.loss_ce: 0.3636, aux.acc_seg: 68.7515, loss: 1.0061
2022-11-04 12:30:04,876 - mmseg - INFO - Saving checkpoint at 24000 iterations
2022-11-04 12:30:05,101 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 12:30:05,102 - mmseg - INFO - Iter [24000/80000]	lr: 8.705e-05, eta: 5:09:11, time: 0.386, data_time: 0.065, memory: 9985, decode.loss_ce: 0.6444, decode.acc_seg: 76.1427, aux.loss_ce: 0.3692, aux.acc_seg: 68.4410, loss: 1.0136
2022-11-04 12:30:13,567 - mmseg - INFO - per class results:
2022-11-04 12:30:13,574 - mmseg - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 64.61 | 82.91 |
|       building      | 72.89 | 87.29 |
|         sky         | 89.75 | 95.64 |
|        floor        | 68.46 | 83.48 |
|         tree        | 63.42 | 82.59 |
|       ceiling       | 72.31 | 80.41 |
|         road        | 74.32 | 81.12 |
|         bed         | 72.13 | 87.89 |
|      windowpane     | 46.96 |  67.3 |
|        grass        | 63.69 | 78.72 |
|       cabinet       |  44.3 | 61.37 |
|       sidewalk      | 50.52 | 76.64 |
|        person       |  62.0 | 79.11 |
|        earth        | 29.19 | 42.49 |
|         door        | 26.56 | 39.11 |
|        table        | 35.16 | 49.85 |
|       mountain      | 49.66 | 70.75 |
|        plant        | 36.14 | 43.97 |
|       curtain       | 52.38 |  71.1 |
|        chair        | 34.32 |  48.7 |
|         car         | 66.68 | 84.28 |
|        water        | 40.49 | 55.98 |
|       painting      | 50.78 | 66.64 |
|         sofa        |  45.7 | 67.32 |
|        shelf        | 32.17 | 51.77 |
|        house        | 39.12 | 64.41 |
|         sea         |  52.7 | 88.26 |
|        mirror       | 37.59 | 47.38 |
|         rug         | 35.26 | 43.89 |
|        field        | 33.32 | 46.52 |
|       armchair      | 21.16 | 28.71 |
|         seat        | 49.74 |  72.9 |
|        fence        | 16.22 | 19.14 |
|         desk        |  31.3 |  48.0 |
|         rock        | 33.75 |  52.7 |
|       wardrobe      | 38.07 | 54.59 |
|         lamp        | 31.96 |  46.2 |
|       bathtub       |  49.8 | 59.75 |
|       railing       | 25.49 | 39.32 |
|       cushion       | 27.23 | 38.61 |
|         base        | 14.39 | 18.04 |
|         box         | 10.48 | 13.56 |
|        column       | 24.78 |  30.3 |
|      signboard      | 19.07 | 30.23 |
|   chest of drawers  | 27.55 |  44.0 |
|       counter       | 32.54 | 36.51 |
|         sand        | 22.85 | 40.75 |
|         sink        | 35.45 | 42.73 |
|      skyscraper     | 42.21 | 69.47 |
|      fireplace      | 45.92 | 62.19 |
|     refrigerator    | 40.25 | 57.36 |
|      grandstand     | 44.64 | 55.95 |
|         path        |  4.89 |  5.86 |
|        stairs       | 18.42 | 22.49 |
|        runway       | 75.49 | 93.88 |
|         case        | 38.49 | 49.84 |
|      pool table     |  78.3 |  89.8 |
|        pillow       | 34.06 | 44.55 |
|     screen door     | 46.88 | 56.32 |
|       stairway      | 18.15 | 21.07 |
|        river        |  9.91 | 19.17 |
|        bridge       | 17.06 | 26.13 |
|       bookcase      | 25.81 | 47.95 |
|        blind        |  9.49 | 10.67 |
|     coffee table    | 35.82 | 56.55 |
|        toilet       | 57.75 | 79.56 |
|        flower       | 18.91 | 32.69 |
|         book        | 31.02 | 42.57 |
|         hill        |  2.92 |  4.75 |
|        bench        | 31.78 | 44.96 |
|      countertop     | 31.32 | 42.69 |
|        stove        | 39.68 | 54.94 |
|         palm        | 32.92 | 42.12 |
|    kitchen island   | 20.88 | 49.34 |
|       computer      | 42.49 | 61.77 |
|     swivel chair    | 30.81 | 49.37 |
|         boat        | 49.67 | 68.56 |
|         bar         | 13.12 | 15.45 |
|    arcade machine   | 33.14 | 42.24 |
|        hovel        | 40.71 |  67.5 |
|         bus         | 60.33 | 77.29 |
|        towel        | 30.97 | 39.86 |
|        light        |  7.92 |  8.22 |
|        truck        |  4.72 |  5.25 |
|        tower        | 40.84 |  53.1 |
|      chandelier     | 42.73 | 52.54 |
|        awning       |  12.9 | 14.14 |
|     streetlight     |  3.57 |  3.85 |
|        booth        | 26.32 |  27.4 |
| television receiver | 44.72 | 60.03 |
|       airplane      | 35.61 | 55.21 |
|      dirt track     |  0.04 |  0.05 |
|       apparel       | 14.01 | 18.44 |
|         pole        |  3.39 |  3.8  |
|         land        |  0.54 |  0.7  |
|      bannister      |  0.16 |  0.19 |
|      escalator      | 38.53 | 49.15 |
|       ottoman       |  7.24 |  7.7  |
|        bottle       |  4.36 |  4.84 |
|        buffet       | 25.01 | 27.89 |
|        poster       | 10.63 | 11.42 |
|        stage        |  7.44 | 10.67 |
|         van         |  1.65 |  1.76 |
|         ship        | 68.33 | 72.82 |
|       fountain      |  8.12 |  8.62 |
|    conveyer belt    | 69.31 | 79.68 |
|        canopy       |  7.67 |  10.3 |
|        washer       | 46.63 | 50.33 |
|      plaything      |  1.23 |  1.66 |
|    swimming pool    |  31.1 | 48.07 |
|        stool        |  4.27 |  4.63 |
|        barrel       | 27.61 |  43.1 |
|        basket       |  8.87 | 10.02 |
|      waterfall      | 35.05 | 47.58 |
|         tent        | 72.61 | 99.54 |
|         bag         |  0.75 |  0.76 |
|       minibike      | 36.51 | 44.63 |
|        cradle       | 58.09 | 80.87 |
|         oven        |  6.56 |  7.38 |
|         ball        | 19.08 | 21.55 |
|         food        | 47.01 | 55.96 |
|         step        |  4.03 |  4.21 |
|         tank        | 22.35 | 27.26 |
|      trade name     |  9.4  |  9.72 |
|      microwave      | 38.91 | 44.78 |
|         pot         | 13.19 | 14.54 |
|        animal       | 39.86 | 43.77 |
|       bicycle       | 30.97 | 41.69 |
|         lake        | 17.37 | 18.49 |
|      dishwasher     | 28.49 | 39.39 |
|        screen       | 52.98 | 65.49 |
|       blanket       |  0.0  |  0.0  |
|      sculpture      | 19.97 | 24.18 |
|         hood        | 12.95 | 13.81 |
|        sconce       |  1.5  |  1.51 |
|         vase        |  9.08 |  11.6 |
|    traffic light    |  9.41 | 11.77 |
|         tray        |  2.13 |  3.45 |
|        ashcan       | 10.83 | 12.84 |
|         fan         |  16.8 | 19.65 |
|         pier        | 27.44 | 31.63 |
|      crt screen     |  0.0  |  0.0  |
|        plate        | 18.44 | 20.32 |
|       monitor       |  7.57 |  8.06 |
|    bulletin board   | 17.94 |  18.7 |
|        shower       |  0.0  |  0.0  |
|       radiator      | 23.57 |  25.4 |
|        glass        |  1.0  |  1.01 |
|        clock        |  3.15 |  3.29 |
|         flag        | 11.85 | 12.63 |
+---------------------+-------+-------+
2022-11-04 12:30:13,574 - mmseg - INFO - Summary:
2022-11-04 12:30:13,574 - mmseg - INFO - 
+-------+-------+-------+
|  aAcc |  mIoU |  mAcc |
+-------+-------+-------+
| 73.49 | 30.27 | 39.87 |
+-------+-------+-------+
2022-11-04 12:30:13,575 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 12:30:13,576 - mmseg - INFO - Iter(val) [250]	aAcc: 0.7349, mIoU: 0.3027, mAcc: 0.3987, IoU.wall: 0.6461, IoU.building: 0.7289, IoU.sky: 0.8975, IoU.floor: 0.6846, IoU.tree: 0.6342, IoU.ceiling: 0.7231, IoU.road: 0.7432, IoU.bed : 0.7213, IoU.windowpane: 0.4696, IoU.grass: 0.6369, IoU.cabinet: 0.4430, IoU.sidewalk: 0.5052, IoU.person: 0.6200, IoU.earth: 0.2919, IoU.door: 0.2656, IoU.table: 0.3516, IoU.mountain: 0.4966, IoU.plant: 0.3614, IoU.curtain: 0.5238, IoU.chair: 0.3432, IoU.car: 0.6668, IoU.water: 0.4049, IoU.painting: 0.5078, IoU.sofa: 0.4570, IoU.shelf: 0.3217, IoU.house: 0.3912, IoU.sea: 0.5270, IoU.mirror: 0.3759, IoU.rug: 0.3526, IoU.field: 0.3332, IoU.armchair: 0.2116, IoU.seat: 0.4974, IoU.fence: 0.1622, IoU.desk: 0.3130, IoU.rock: 0.3375, IoU.wardrobe: 0.3807, IoU.lamp: 0.3196, IoU.bathtub: 0.4980, IoU.railing: 0.2549, IoU.cushion: 0.2723, IoU.base: 0.1439, IoU.box: 0.1048, IoU.column: 0.2478, IoU.signboard: 0.1907, IoU.chest of drawers: 0.2755, IoU.counter: 0.3254, IoU.sand: 0.2285, IoU.sink: 0.3545, IoU.skyscraper: 0.4221, IoU.fireplace: 0.4592, IoU.refrigerator: 0.4025, IoU.grandstand: 0.4464, IoU.path: 0.0489, IoU.stairs: 0.1842, IoU.runway: 0.7549, IoU.case: 0.3849, IoU.pool table: 0.7830, IoU.pillow: 0.3406, IoU.screen door: 0.4688, IoU.stairway: 0.1815, IoU.river: 0.0991, IoU.bridge: 0.1706, IoU.bookcase: 0.2581, IoU.blind: 0.0949, IoU.coffee table: 0.3582, IoU.toilet: 0.5775, IoU.flower: 0.1891, IoU.book: 0.3102, IoU.hill: 0.0292, IoU.bench: 0.3178, IoU.countertop: 0.3132, IoU.stove: 0.3968, IoU.palm: 0.3292, IoU.kitchen island: 0.2088, IoU.computer: 0.4249, IoU.swivel chair: 0.3081, IoU.boat: 0.4967, IoU.bar: 0.1312, IoU.arcade machine: 0.3314, IoU.hovel: 0.4071, IoU.bus: 0.6033, IoU.towel: 0.3097, IoU.light: 0.0792, IoU.truck: 0.0472, IoU.tower: 0.4084, IoU.chandelier: 0.4273, IoU.awning: 0.1290, IoU.streetlight: 0.0357, IoU.booth: 0.2632, IoU.television receiver: 0.4472, IoU.airplane: 0.3561, IoU.dirt track: 0.0004, IoU.apparel: 0.1401, IoU.pole: 0.0339, IoU.land: 0.0054, IoU.bannister: 0.0016, IoU.escalator: 0.3853, IoU.ottoman: 0.0724, IoU.bottle: 0.0436, IoU.buffet: 0.2501, IoU.poster: 0.1063, IoU.stage: 0.0744, IoU.van: 0.0165, IoU.ship: 0.6833, IoU.fountain: 0.0812, IoU.conveyer belt: 0.6931, IoU.canopy: 0.0767, IoU.washer: 0.4663, IoU.plaything: 0.0123, IoU.swimming pool: 0.3110, IoU.stool: 0.0427, IoU.barrel: 0.2761, IoU.basket: 0.0887, IoU.waterfall: 0.3505, IoU.tent: 0.7261, IoU.bag: 0.0075, IoU.minibike: 0.3651, IoU.cradle: 0.5809, IoU.oven: 0.0656, IoU.ball: 0.1908, IoU.food: 0.4701, IoU.step: 0.0403, IoU.tank: 0.2235, IoU.trade name: 0.0940, IoU.microwave: 0.3891, IoU.pot: 0.1319, IoU.animal: 0.3986, IoU.bicycle: 0.3097, IoU.lake: 0.1737, IoU.dishwasher: 0.2849, IoU.screen: 0.5298, IoU.blanket: 0.0000, IoU.sculpture: 0.1997, IoU.hood: 0.1295, IoU.sconce: 0.0150, IoU.vase: 0.0908, IoU.traffic light: 0.0941, IoU.tray: 0.0213, IoU.ashcan: 0.1083, IoU.fan: 0.1680, IoU.pier: 0.2744, IoU.crt screen: 0.0000, IoU.plate: 0.1844, IoU.monitor: 0.0757, IoU.bulletin board: 0.1794, IoU.shower: 0.0000, IoU.radiator: 0.2357, IoU.glass: 0.0100, IoU.clock: 0.0315, IoU.flag: 0.1185, Acc.wall: 0.8291, Acc.building: 0.8729, Acc.sky: 0.9564, Acc.floor: 0.8348, Acc.tree: 0.8259, Acc.ceiling: 0.8041, Acc.road: 0.8112, Acc.bed : 0.8789, Acc.windowpane: 0.6730, Acc.grass: 0.7872, Acc.cabinet: 0.6137, Acc.sidewalk: 0.7664, Acc.person: 0.7911, Acc.earth: 0.4249, Acc.door: 0.3911, Acc.table: 0.4985, Acc.mountain: 0.7075, Acc.plant: 0.4397, Acc.curtain: 0.7110, Acc.chair: 0.4870, Acc.car: 0.8428, Acc.water: 0.5598, Acc.painting: 0.6664, Acc.sofa: 0.6732, Acc.shelf: 0.5177, Acc.house: 0.6441, Acc.sea: 0.8826, Acc.mirror: 0.4738, Acc.rug: 0.4389, Acc.field: 0.4652, Acc.armchair: 0.2871, Acc.seat: 0.7290, Acc.fence: 0.1914, Acc.desk: 0.4800, Acc.rock: 0.5270, Acc.wardrobe: 0.5459, Acc.lamp: 0.4620, Acc.bathtub: 0.5975, Acc.railing: 0.3932, Acc.cushion: 0.3861, Acc.base: 0.1804, Acc.box: 0.1356, Acc.column: 0.3030, Acc.signboard: 0.3023, Acc.chest of drawers: 0.4400, Acc.counter: 0.3651, Acc.sand: 0.4075, Acc.sink: 0.4273, Acc.skyscraper: 0.6947, Acc.fireplace: 0.6219, Acc.refrigerator: 0.5736, Acc.grandstand: 0.5595, Acc.path: 0.0586, Acc.stairs: 0.2249, Acc.runway: 0.9388, Acc.case: 0.4984, Acc.pool table: 0.8980, Acc.pillow: 0.4455, Acc.screen door: 0.5632, Acc.stairway: 0.2107, Acc.river: 0.1917, Acc.bridge: 0.2613, Acc.bookcase: 0.4795, Acc.blind: 0.1067, Acc.coffee table: 0.5655, Acc.toilet: 0.7956, Acc.flower: 0.3269, Acc.book: 0.4257, Acc.hill: 0.0475, Acc.bench: 0.4496, Acc.countertop: 0.4269, Acc.stove: 0.5494, Acc.palm: 0.4212, Acc.kitchen island: 0.4934, Acc.computer: 0.6177, Acc.swivel chair: 0.4937, Acc.boat: 0.6856, Acc.bar: 0.1545, Acc.arcade machine: 0.4224, Acc.hovel: 0.6750, Acc.bus: 0.7729, Acc.towel: 0.3986, Acc.light: 0.0822, Acc.truck: 0.0525, Acc.tower: 0.5310, Acc.chandelier: 0.5254, Acc.awning: 0.1414, Acc.streetlight: 0.0385, Acc.booth: 0.2740, Acc.television receiver: 0.6003, Acc.airplane: 0.5521, Acc.dirt track: 0.0005, Acc.apparel: 0.1844, Acc.pole: 0.0380, Acc.land: 0.0070, Acc.bannister: 0.0019, Acc.escalator: 0.4915, Acc.ottoman: 0.0770, Acc.bottle: 0.0484, Acc.buffet: 0.2789, Acc.poster: 0.1142, Acc.stage: 0.1067, Acc.van: 0.0176, Acc.ship: 0.7282, Acc.fountain: 0.0862, Acc.conveyer belt: 0.7968, Acc.canopy: 0.1030, Acc.washer: 0.5033, Acc.plaything: 0.0166, Acc.swimming pool: 0.4807, Acc.stool: 0.0463, Acc.barrel: 0.4310, Acc.basket: 0.1002, Acc.waterfall: 0.4758, Acc.tent: 0.9954, Acc.bag: 0.0076, Acc.minibike: 0.4463, Acc.cradle: 0.8087, Acc.oven: 0.0738, Acc.ball: 0.2155, Acc.food: 0.5596, Acc.step: 0.0421, Acc.tank: 0.2726, Acc.trade name: 0.0972, Acc.microwave: 0.4478, Acc.pot: 0.1454, Acc.animal: 0.4377, Acc.bicycle: 0.4169, Acc.lake: 0.1849, Acc.dishwasher: 0.3939, Acc.screen: 0.6549, Acc.blanket: 0.0000, Acc.sculpture: 0.2418, Acc.hood: 0.1381, Acc.sconce: 0.0151, Acc.vase: 0.1160, Acc.traffic light: 0.1177, Acc.tray: 0.0345, Acc.ashcan: 0.1284, Acc.fan: 0.1965, Acc.pier: 0.3163, Acc.crt screen: 0.0000, Acc.plate: 0.2032, Acc.monitor: 0.0806, Acc.bulletin board: 0.1870, Acc.shower: 0.0000, Acc.radiator: 0.2540, Acc.glass: 0.0101, Acc.clock: 0.0329, Acc.flag: 0.1263
2022-11-04 12:30:29,615 - mmseg - INFO - Iter [24050/80000]	lr: 8.698e-05, eta: 5:09:13, time: 0.490, data_time: 0.179, memory: 9985, decode.loss_ce: 0.6363, decode.acc_seg: 76.1080, aux.loss_ce: 0.3648, aux.acc_seg: 68.7223, loss: 1.0011
2022-11-04 12:30:45,926 - mmseg - INFO - Iter [24100/80000]	lr: 8.691e-05, eta: 5:08:55, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6383, decode.acc_seg: 76.2076, aux.loss_ce: 0.3628, aux.acc_seg: 68.4456, loss: 1.0011
2022-11-04 12:31:02,281 - mmseg - INFO - Iter [24150/80000]	lr: 8.684e-05, eta: 5:08:38, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6463, decode.acc_seg: 75.6989, aux.loss_ce: 0.3723, aux.acc_seg: 67.6007, loss: 1.0185
2022-11-04 12:31:18,423 - mmseg - INFO - Iter [24200/80000]	lr: 8.677e-05, eta: 5:08:21, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6186, decode.acc_seg: 76.9976, aux.loss_ce: 0.3542, aux.acc_seg: 69.4580, loss: 0.9728
2022-11-04 12:31:34,816 - mmseg - INFO - Iter [24250/80000]	lr: 8.670e-05, eta: 5:08:04, time: 0.328, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6237, decode.acc_seg: 76.6070, aux.loss_ce: 0.3621, aux.acc_seg: 68.7499, loss: 0.9858
2022-11-04 12:31:51,037 - mmseg - INFO - Iter [24300/80000]	lr: 8.663e-05, eta: 5:07:46, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6176, decode.acc_seg: 76.9752, aux.loss_ce: 0.3493, aux.acc_seg: 69.6195, loss: 0.9668
2022-11-04 12:32:07,166 - mmseg - INFO - Iter [24350/80000]	lr: 8.656e-05, eta: 5:07:29, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6614, decode.acc_seg: 74.6496, aux.loss_ce: 0.3770, aux.acc_seg: 67.1601, loss: 1.0383
2022-11-04 12:32:23,291 - mmseg - INFO - Iter [24400/80000]	lr: 8.649e-05, eta: 5:07:11, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6368, decode.acc_seg: 76.2317, aux.loss_ce: 0.3601, aux.acc_seg: 69.2721, loss: 0.9969
2022-11-04 12:32:39,486 - mmseg - INFO - Iter [24450/80000]	lr: 8.642e-05, eta: 5:06:54, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6306, decode.acc_seg: 76.5103, aux.loss_ce: 0.3695, aux.acc_seg: 68.4089, loss: 1.0002
2022-11-04 12:32:55,626 - mmseg - INFO - Iter [24500/80000]	lr: 8.635e-05, eta: 5:06:36, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6211, decode.acc_seg: 76.9299, aux.loss_ce: 0.3481, aux.acc_seg: 70.3015, loss: 0.9692
2022-11-04 12:33:11,685 - mmseg - INFO - Iter [24550/80000]	lr: 8.628e-05, eta: 5:06:18, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6381, decode.acc_seg: 75.8899, aux.loss_ce: 0.3591, aux.acc_seg: 68.8469, loss: 0.9973
2022-11-04 12:33:27,681 - mmseg - INFO - Iter [24600/80000]	lr: 8.621e-05, eta: 5:06:00, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6239, decode.acc_seg: 76.4055, aux.loss_ce: 0.3526, aux.acc_seg: 69.0339, loss: 0.9765
2022-11-04 12:33:47,000 - mmseg - INFO - Iter [24650/80000]	lr: 8.614e-05, eta: 5:05:50, time: 0.386, data_time: 0.055, memory: 9985, decode.loss_ce: 0.6555, decode.acc_seg: 75.7212, aux.loss_ce: 0.3710, aux.acc_seg: 68.0543, loss: 1.0265
2022-11-04 12:34:03,270 - mmseg - INFO - Iter [24700/80000]	lr: 8.607e-05, eta: 5:05:33, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6215, decode.acc_seg: 76.6133, aux.loss_ce: 0.3585, aux.acc_seg: 68.8586, loss: 0.9800
2022-11-04 12:34:19,267 - mmseg - INFO - Iter [24750/80000]	lr: 8.600e-05, eta: 5:05:15, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6316, decode.acc_seg: 76.4401, aux.loss_ce: 0.3622, aux.acc_seg: 68.7374, loss: 0.9938
2022-11-04 12:34:35,494 - mmseg - INFO - Iter [24800/80000]	lr: 8.593e-05, eta: 5:04:58, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6433, decode.acc_seg: 75.9392, aux.loss_ce: 0.3706, aux.acc_seg: 68.1206, loss: 1.0139
2022-11-04 12:34:51,697 - mmseg - INFO - Iter [24850/80000]	lr: 8.586e-05, eta: 5:04:40, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6298, decode.acc_seg: 76.3724, aux.loss_ce: 0.3519, aux.acc_seg: 69.7572, loss: 0.9817
2022-11-04 12:35:07,622 - mmseg - INFO - Iter [24900/80000]	lr: 8.579e-05, eta: 5:04:22, time: 0.318, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6327, decode.acc_seg: 76.5688, aux.loss_ce: 0.3614, aux.acc_seg: 69.1537, loss: 0.9940
2022-11-04 12:35:23,844 - mmseg - INFO - Iter [24950/80000]	lr: 8.572e-05, eta: 5:04:05, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6385, decode.acc_seg: 76.1304, aux.loss_ce: 0.3637, aux.acc_seg: 69.0199, loss: 1.0021
2022-11-04 12:35:40,125 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 12:35:40,126 - mmseg - INFO - Iter [25000/80000]	lr: 8.565e-05, eta: 5:03:48, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6293, decode.acc_seg: 76.3017, aux.loss_ce: 0.3597, aux.acc_seg: 68.6188, loss: 0.9891
2022-11-04 12:35:56,331 - mmseg - INFO - Iter [25050/80000]	lr: 8.558e-05, eta: 5:03:30, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6353, decode.acc_seg: 76.1649, aux.loss_ce: 0.3679, aux.acc_seg: 68.5486, loss: 1.0032
2022-11-04 12:36:12,472 - mmseg - INFO - Iter [25100/80000]	lr: 8.551e-05, eta: 5:03:13, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6341, decode.acc_seg: 76.4075, aux.loss_ce: 0.3629, aux.acc_seg: 68.5502, loss: 0.9970
2022-11-04 12:36:28,663 - mmseg - INFO - Iter [25150/80000]	lr: 8.544e-05, eta: 5:02:55, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6382, decode.acc_seg: 76.0591, aux.loss_ce: 0.3577, aux.acc_seg: 69.0493, loss: 0.9959
2022-11-04 12:36:44,887 - mmseg - INFO - Iter [25200/80000]	lr: 8.537e-05, eta: 5:02:38, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6001, decode.acc_seg: 77.4127, aux.loss_ce: 0.3499, aux.acc_seg: 69.8913, loss: 0.9501
2022-11-04 12:37:03,992 - mmseg - INFO - Iter [25250/80000]	lr: 8.530e-05, eta: 5:02:27, time: 0.382, data_time: 0.063, memory: 9985, decode.loss_ce: 0.6305, decode.acc_seg: 76.2285, aux.loss_ce: 0.3565, aux.acc_seg: 69.1003, loss: 0.9870
2022-11-04 12:37:20,146 - mmseg - INFO - Iter [25300/80000]	lr: 8.523e-05, eta: 5:02:09, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6154, decode.acc_seg: 76.7172, aux.loss_ce: 0.3611, aux.acc_seg: 68.8091, loss: 0.9765
2022-11-04 12:37:36,296 - mmseg - INFO - Iter [25350/80000]	lr: 8.516e-05, eta: 5:01:52, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6152, decode.acc_seg: 77.3648, aux.loss_ce: 0.3557, aux.acc_seg: 69.7415, loss: 0.9709
2022-11-04 12:37:52,660 - mmseg - INFO - Iter [25400/80000]	lr: 8.509e-05, eta: 5:01:35, time: 0.327, data_time: 0.008, memory: 9985, decode.loss_ce: 0.6223, decode.acc_seg: 76.3364, aux.loss_ce: 0.3517, aux.acc_seg: 69.0926, loss: 0.9740
2022-11-04 12:38:08,760 - mmseg - INFO - Iter [25450/80000]	lr: 8.502e-05, eta: 5:01:17, time: 0.322, data_time: 0.008, memory: 9985, decode.loss_ce: 0.6260, decode.acc_seg: 76.9739, aux.loss_ce: 0.3596, aux.acc_seg: 69.6095, loss: 0.9855
2022-11-04 12:38:24,871 - mmseg - INFO - Iter [25500/80000]	lr: 8.495e-05, eta: 5:01:00, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6577, decode.acc_seg: 75.3499, aux.loss_ce: 0.3793, aux.acc_seg: 67.0707, loss: 1.0370
2022-11-04 12:38:41,181 - mmseg - INFO - Iter [25550/80000]	lr: 8.488e-05, eta: 5:00:43, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6075, decode.acc_seg: 76.9985, aux.loss_ce: 0.3505, aux.acc_seg: 69.5638, loss: 0.9580
2022-11-04 12:38:57,344 - mmseg - INFO - Iter [25600/80000]	lr: 8.481e-05, eta: 5:00:25, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6033, decode.acc_seg: 76.9248, aux.loss_ce: 0.3454, aux.acc_seg: 69.9276, loss: 0.9487
2022-11-04 12:39:13,476 - mmseg - INFO - Iter [25650/80000]	lr: 8.474e-05, eta: 5:00:08, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6232, decode.acc_seg: 76.7045, aux.loss_ce: 0.3609, aux.acc_seg: 68.8408, loss: 0.9841
2022-11-04 12:39:29,744 - mmseg - INFO - Iter [25700/80000]	lr: 8.467e-05, eta: 4:59:51, time: 0.325, data_time: 0.008, memory: 9985, decode.loss_ce: 0.6454, decode.acc_seg: 75.7518, aux.loss_ce: 0.3670, aux.acc_seg: 68.3737, loss: 1.0124
2022-11-04 12:39:45,808 - mmseg - INFO - Iter [25750/80000]	lr: 8.460e-05, eta: 4:59:33, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6351, decode.acc_seg: 75.9871, aux.loss_ce: 0.3607, aux.acc_seg: 68.6561, loss: 0.9958
2022-11-04 12:40:02,127 - mmseg - INFO - Iter [25800/80000]	lr: 8.453e-05, eta: 4:59:16, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6153, decode.acc_seg: 76.7770, aux.loss_ce: 0.3547, aux.acc_seg: 69.3366, loss: 0.9700
2022-11-04 12:40:18,082 - mmseg - INFO - Iter [25850/80000]	lr: 8.446e-05, eta: 4:58:58, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6533, decode.acc_seg: 75.8603, aux.loss_ce: 0.3721, aux.acc_seg: 68.1338, loss: 1.0254
2022-11-04 12:40:37,334 - mmseg - INFO - Iter [25900/80000]	lr: 8.439e-05, eta: 4:58:47, time: 0.385, data_time: 0.066, memory: 9985, decode.loss_ce: 0.6220, decode.acc_seg: 76.4813, aux.loss_ce: 0.3559, aux.acc_seg: 69.4406, loss: 0.9779
2022-11-04 12:40:53,545 - mmseg - INFO - Iter [25950/80000]	lr: 8.432e-05, eta: 4:58:30, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5957, decode.acc_seg: 77.4147, aux.loss_ce: 0.3443, aux.acc_seg: 69.5592, loss: 0.9400
2022-11-04 12:41:09,752 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 12:41:09,753 - mmseg - INFO - Iter [26000/80000]	lr: 8.425e-05, eta: 4:58:12, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6280, decode.acc_seg: 76.1739, aux.loss_ce: 0.3579, aux.acc_seg: 68.8103, loss: 0.9859
2022-11-04 12:41:26,194 - mmseg - INFO - Iter [26050/80000]	lr: 8.418e-05, eta: 4:57:56, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6213, decode.acc_seg: 76.7103, aux.loss_ce: 0.3567, aux.acc_seg: 68.8786, loss: 0.9780
2022-11-04 12:41:42,313 - mmseg - INFO - Iter [26100/80000]	lr: 8.411e-05, eta: 4:57:38, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6075, decode.acc_seg: 76.9836, aux.loss_ce: 0.3618, aux.acc_seg: 69.0091, loss: 0.9693
2022-11-04 12:41:58,556 - mmseg - INFO - Iter [26150/80000]	lr: 8.404e-05, eta: 4:57:21, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6233, decode.acc_seg: 76.5554, aux.loss_ce: 0.3537, aux.acc_seg: 69.2652, loss: 0.9770
2022-11-04 12:42:14,544 - mmseg - INFO - Iter [26200/80000]	lr: 8.397e-05, eta: 4:57:03, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6278, decode.acc_seg: 76.6647, aux.loss_ce: 0.3580, aux.acc_seg: 68.8511, loss: 0.9858
2022-11-04 12:42:31,048 - mmseg - INFO - Iter [26250/80000]	lr: 8.390e-05, eta: 4:56:46, time: 0.330, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6073, decode.acc_seg: 76.8200, aux.loss_ce: 0.3519, aux.acc_seg: 69.1591, loss: 0.9592
2022-11-04 12:42:46,994 - mmseg - INFO - Iter [26300/80000]	lr: 8.383e-05, eta: 4:56:29, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6063, decode.acc_seg: 76.8816, aux.loss_ce: 0.3521, aux.acc_seg: 69.3835, loss: 0.9584
2022-11-04 12:43:03,243 - mmseg - INFO - Iter [26350/80000]	lr: 8.376e-05, eta: 4:56:11, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5957, decode.acc_seg: 77.9272, aux.loss_ce: 0.3453, aux.acc_seg: 70.5771, loss: 0.9410
2022-11-04 12:43:19,567 - mmseg - INFO - Iter [26400/80000]	lr: 8.369e-05, eta: 4:55:54, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6406, decode.acc_seg: 76.0448, aux.loss_ce: 0.3698, aux.acc_seg: 68.2904, loss: 1.0104
2022-11-04 12:43:35,653 - mmseg - INFO - Iter [26450/80000]	lr: 8.362e-05, eta: 4:55:37, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6226, decode.acc_seg: 76.5977, aux.loss_ce: 0.3594, aux.acc_seg: 69.0387, loss: 0.9820
2022-11-04 12:43:51,740 - mmseg - INFO - Iter [26500/80000]	lr: 8.355e-05, eta: 4:55:19, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6243, decode.acc_seg: 76.7868, aux.loss_ce: 0.3599, aux.acc_seg: 69.0009, loss: 0.9843
2022-11-04 12:44:11,095 - mmseg - INFO - Iter [26550/80000]	lr: 8.348e-05, eta: 4:55:08, time: 0.387, data_time: 0.065, memory: 9985, decode.loss_ce: 0.6023, decode.acc_seg: 77.3037, aux.loss_ce: 0.3476, aux.acc_seg: 70.0707, loss: 0.9500
2022-11-04 12:44:27,317 - mmseg - INFO - Iter [26600/80000]	lr: 8.341e-05, eta: 4:54:51, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6259, decode.acc_seg: 76.8803, aux.loss_ce: 0.3549, aux.acc_seg: 69.7170, loss: 0.9808
2022-11-04 12:44:43,430 - mmseg - INFO - Iter [26650/80000]	lr: 8.334e-05, eta: 4:54:34, time: 0.322, data_time: 0.008, memory: 9985, decode.loss_ce: 0.6309, decode.acc_seg: 76.2991, aux.loss_ce: 0.3648, aux.acc_seg: 68.3815, loss: 0.9957
2022-11-04 12:44:59,644 - mmseg - INFO - Iter [26700/80000]	lr: 8.326e-05, eta: 4:54:16, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5948, decode.acc_seg: 77.9175, aux.loss_ce: 0.3423, aux.acc_seg: 70.5851, loss: 0.9371
2022-11-04 12:45:15,675 - mmseg - INFO - Iter [26750/80000]	lr: 8.319e-05, eta: 4:53:59, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6159, decode.acc_seg: 77.2061, aux.loss_ce: 0.3545, aux.acc_seg: 69.6706, loss: 0.9704
2022-11-04 12:45:31,855 - mmseg - INFO - Iter [26800/80000]	lr: 8.312e-05, eta: 4:53:41, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6254, decode.acc_seg: 76.7635, aux.loss_ce: 0.3685, aux.acc_seg: 68.3943, loss: 0.9939
2022-11-04 12:45:47,856 - mmseg - INFO - Iter [26850/80000]	lr: 8.305e-05, eta: 4:53:24, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6316, decode.acc_seg: 75.9537, aux.loss_ce: 0.3700, aux.acc_seg: 67.9781, loss: 1.0016
2022-11-04 12:46:04,021 - mmseg - INFO - Iter [26900/80000]	lr: 8.298e-05, eta: 4:53:06, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6112, decode.acc_seg: 76.8148, aux.loss_ce: 0.3474, aux.acc_seg: 69.5975, loss: 0.9586
2022-11-04 12:46:20,040 - mmseg - INFO - Iter [26950/80000]	lr: 8.291e-05, eta: 4:52:49, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6228, decode.acc_seg: 76.5367, aux.loss_ce: 0.3589, aux.acc_seg: 69.0861, loss: 0.9817
2022-11-04 12:46:36,395 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 12:46:36,395 - mmseg - INFO - Iter [27000/80000]	lr: 8.284e-05, eta: 4:52:32, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6309, decode.acc_seg: 76.3206, aux.loss_ce: 0.3650, aux.acc_seg: 68.7393, loss: 0.9959
2022-11-04 12:46:52,453 - mmseg - INFO - Iter [27050/80000]	lr: 8.277e-05, eta: 4:52:14, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6363, decode.acc_seg: 76.1413, aux.loss_ce: 0.3613, aux.acc_seg: 68.5300, loss: 0.9976
2022-11-04 12:47:08,514 - mmseg - INFO - Iter [27100/80000]	lr: 8.270e-05, eta: 4:51:57, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6243, decode.acc_seg: 76.4357, aux.loss_ce: 0.3576, aux.acc_seg: 69.0648, loss: 0.9819
2022-11-04 12:47:27,462 - mmseg - INFO - Iter [27150/80000]	lr: 8.263e-05, eta: 4:51:45, time: 0.379, data_time: 0.065, memory: 9985, decode.loss_ce: 0.6170, decode.acc_seg: 76.8183, aux.loss_ce: 0.3600, aux.acc_seg: 68.9260, loss: 0.9770
2022-11-04 12:47:43,742 - mmseg - INFO - Iter [27200/80000]	lr: 8.256e-05, eta: 4:51:28, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5950, decode.acc_seg: 77.4959, aux.loss_ce: 0.3494, aux.acc_seg: 69.8885, loss: 0.9443
2022-11-04 12:48:00,008 - mmseg - INFO - Iter [27250/80000]	lr: 8.249e-05, eta: 4:51:11, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6126, decode.acc_seg: 77.3849, aux.loss_ce: 0.3572, aux.acc_seg: 69.2884, loss: 0.9698
2022-11-04 12:48:16,058 - mmseg - INFO - Iter [27300/80000]	lr: 8.242e-05, eta: 4:50:53, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6152, decode.acc_seg: 76.5597, aux.loss_ce: 0.3617, aux.acc_seg: 68.6553, loss: 0.9769
2022-11-04 12:48:32,227 - mmseg - INFO - Iter [27350/80000]	lr: 8.235e-05, eta: 4:50:36, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6133, decode.acc_seg: 77.2314, aux.loss_ce: 0.3519, aux.acc_seg: 69.7922, loss: 0.9652
2022-11-04 12:48:48,261 - mmseg - INFO - Iter [27400/80000]	lr: 8.228e-05, eta: 4:50:18, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5976, decode.acc_seg: 77.4888, aux.loss_ce: 0.3502, aux.acc_seg: 69.6344, loss: 0.9478
2022-11-04 12:49:04,353 - mmseg - INFO - Iter [27450/80000]	lr: 8.221e-05, eta: 4:50:01, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6360, decode.acc_seg: 76.0109, aux.loss_ce: 0.3651, aux.acc_seg: 68.3186, loss: 1.0011
2022-11-04 12:49:20,553 - mmseg - INFO - Iter [27500/80000]	lr: 8.214e-05, eta: 4:49:44, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6376, decode.acc_seg: 75.9617, aux.loss_ce: 0.3587, aux.acc_seg: 68.4288, loss: 0.9963
2022-11-04 12:49:36,707 - mmseg - INFO - Iter [27550/80000]	lr: 8.207e-05, eta: 4:49:26, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6255, decode.acc_seg: 76.4980, aux.loss_ce: 0.3540, aux.acc_seg: 69.1917, loss: 0.9796
2022-11-04 12:49:53,030 - mmseg - INFO - Iter [27600/80000]	lr: 8.200e-05, eta: 4:49:09, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6013, decode.acc_seg: 77.2214, aux.loss_ce: 0.3440, aux.acc_seg: 70.2283, loss: 0.9452
2022-11-04 12:50:09,389 - mmseg - INFO - Iter [27650/80000]	lr: 8.193e-05, eta: 4:48:52, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6310, decode.acc_seg: 76.3752, aux.loss_ce: 0.3655, aux.acc_seg: 68.7406, loss: 0.9965
2022-11-04 12:50:25,883 - mmseg - INFO - Iter [27700/80000]	lr: 8.186e-05, eta: 4:48:36, time: 0.330, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6102, decode.acc_seg: 77.2218, aux.loss_ce: 0.3590, aux.acc_seg: 69.2136, loss: 0.9692
2022-11-04 12:50:42,149 - mmseg - INFO - Iter [27750/80000]	lr: 8.179e-05, eta: 4:48:19, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6065, decode.acc_seg: 77.2742, aux.loss_ce: 0.3499, aux.acc_seg: 69.7319, loss: 0.9564
2022-11-04 12:51:01,250 - mmseg - INFO - Iter [27800/80000]	lr: 8.172e-05, eta: 4:48:07, time: 0.382, data_time: 0.068, memory: 9985, decode.loss_ce: 0.5921, decode.acc_seg: 77.5519, aux.loss_ce: 0.3501, aux.acc_seg: 69.5373, loss: 0.9422
2022-11-04 12:51:17,322 - mmseg - INFO - Iter [27850/80000]	lr: 8.165e-05, eta: 4:47:49, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6090, decode.acc_seg: 77.2683, aux.loss_ce: 0.3582, aux.acc_seg: 68.9618, loss: 0.9671
2022-11-04 12:51:33,614 - mmseg - INFO - Iter [27900/80000]	lr: 8.158e-05, eta: 4:47:32, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5984, decode.acc_seg: 77.5496, aux.loss_ce: 0.3496, aux.acc_seg: 69.7997, loss: 0.9480
2022-11-04 12:51:49,928 - mmseg - INFO - Iter [27950/80000]	lr: 8.151e-05, eta: 4:47:15, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6032, decode.acc_seg: 77.1816, aux.loss_ce: 0.3474, aux.acc_seg: 69.8305, loss: 0.9506
2022-11-04 12:52:06,085 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 12:52:06,085 - mmseg - INFO - Iter [28000/80000]	lr: 8.143e-05, eta: 4:46:58, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6190, decode.acc_seg: 76.9544, aux.loss_ce: 0.3576, aux.acc_seg: 69.2331, loss: 0.9766
2022-11-04 12:52:22,398 - mmseg - INFO - Iter [28050/80000]	lr: 8.136e-05, eta: 4:46:41, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5913, decode.acc_seg: 77.3783, aux.loss_ce: 0.3413, aux.acc_seg: 70.1561, loss: 0.9327
2022-11-04 12:52:38,501 - mmseg - INFO - Iter [28100/80000]	lr: 8.129e-05, eta: 4:46:23, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6304, decode.acc_seg: 76.2181, aux.loss_ce: 0.3572, aux.acc_seg: 68.8553, loss: 0.9875
2022-11-04 12:52:54,825 - mmseg - INFO - Iter [28150/80000]	lr: 8.122e-05, eta: 4:46:07, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6345, decode.acc_seg: 76.1102, aux.loss_ce: 0.3734, aux.acc_seg: 67.5330, loss: 1.0079
2022-11-04 12:53:11,012 - mmseg - INFO - Iter [28200/80000]	lr: 8.115e-05, eta: 4:45:49, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6205, decode.acc_seg: 76.3464, aux.loss_ce: 0.3581, aux.acc_seg: 69.1569, loss: 0.9786
2022-11-04 12:53:27,147 - mmseg - INFO - Iter [28250/80000]	lr: 8.108e-05, eta: 4:45:32, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6180, decode.acc_seg: 76.8324, aux.loss_ce: 0.3615, aux.acc_seg: 69.0204, loss: 0.9795
2022-11-04 12:53:43,245 - mmseg - INFO - Iter [28300/80000]	lr: 8.101e-05, eta: 4:45:15, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6160, decode.acc_seg: 76.9299, aux.loss_ce: 0.3519, aux.acc_seg: 69.3519, loss: 0.9679
2022-11-04 12:53:59,493 - mmseg - INFO - Iter [28350/80000]	lr: 8.094e-05, eta: 4:44:57, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6045, decode.acc_seg: 77.3138, aux.loss_ce: 0.3475, aux.acc_seg: 69.6536, loss: 0.9520
2022-11-04 12:54:18,639 - mmseg - INFO - Iter [28400/80000]	lr: 8.087e-05, eta: 4:44:46, time: 0.383, data_time: 0.062, memory: 9985, decode.loss_ce: 0.6059, decode.acc_seg: 77.3417, aux.loss_ce: 0.3499, aux.acc_seg: 69.7765, loss: 0.9558
2022-11-04 12:54:34,808 - mmseg - INFO - Iter [28450/80000]	lr: 8.080e-05, eta: 4:44:28, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6107, decode.acc_seg: 76.9674, aux.loss_ce: 0.3474, aux.acc_seg: 70.0536, loss: 0.9581
2022-11-04 12:54:50,886 - mmseg - INFO - Iter [28500/80000]	lr: 8.073e-05, eta: 4:44:11, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5925, decode.acc_seg: 77.5708, aux.loss_ce: 0.3470, aux.acc_seg: 69.9721, loss: 0.9396
2022-11-04 12:55:07,098 - mmseg - INFO - Iter [28550/80000]	lr: 8.066e-05, eta: 4:43:54, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6041, decode.acc_seg: 77.1219, aux.loss_ce: 0.3567, aux.acc_seg: 69.3308, loss: 0.9609
2022-11-04 12:55:23,126 - mmseg - INFO - Iter [28600/80000]	lr: 8.059e-05, eta: 4:43:36, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6088, decode.acc_seg: 76.9485, aux.loss_ce: 0.3559, aux.acc_seg: 68.9438, loss: 0.9647
2022-11-04 12:55:39,338 - mmseg - INFO - Iter [28650/80000]	lr: 8.052e-05, eta: 4:43:19, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6148, decode.acc_seg: 77.3121, aux.loss_ce: 0.3584, aux.acc_seg: 69.8328, loss: 0.9732
2022-11-04 12:55:55,382 - mmseg - INFO - Iter [28700/80000]	lr: 8.045e-05, eta: 4:43:02, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6201, decode.acc_seg: 76.7002, aux.loss_ce: 0.3672, aux.acc_seg: 68.1834, loss: 0.9873
2022-11-04 12:56:11,547 - mmseg - INFO - Iter [28750/80000]	lr: 8.038e-05, eta: 4:42:44, time: 0.323, data_time: 0.008, memory: 9985, decode.loss_ce: 0.6163, decode.acc_seg: 76.7123, aux.loss_ce: 0.3583, aux.acc_seg: 68.7909, loss: 0.9746
2022-11-04 12:56:27,479 - mmseg - INFO - Iter [28800/80000]	lr: 8.031e-05, eta: 4:42:27, time: 0.319, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6135, decode.acc_seg: 77.0210, aux.loss_ce: 0.3553, aux.acc_seg: 69.2203, loss: 0.9688
2022-11-04 12:56:43,593 - mmseg - INFO - Iter [28850/80000]	lr: 8.024e-05, eta: 4:42:09, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5970, decode.acc_seg: 77.2263, aux.loss_ce: 0.3434, aux.acc_seg: 69.8109, loss: 0.9404
2022-11-04 12:56:59,452 - mmseg - INFO - Iter [28900/80000]	lr: 8.017e-05, eta: 4:41:52, time: 0.317, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6150, decode.acc_seg: 76.3993, aux.loss_ce: 0.3511, aux.acc_seg: 69.1218, loss: 0.9662
2022-11-04 12:57:15,492 - mmseg - INFO - Iter [28950/80000]	lr: 8.009e-05, eta: 4:41:34, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5935, decode.acc_seg: 77.5660, aux.loss_ce: 0.3470, aux.acc_seg: 69.7620, loss: 0.9405
2022-11-04 12:57:31,444 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 12:57:31,444 - mmseg - INFO - Iter [29000/80000]	lr: 8.002e-05, eta: 4:41:17, time: 0.319, data_time: 0.008, memory: 9985, decode.loss_ce: 0.5940, decode.acc_seg: 76.9131, aux.loss_ce: 0.3447, aux.acc_seg: 69.6492, loss: 0.9387
2022-11-04 12:57:50,595 - mmseg - INFO - Iter [29050/80000]	lr: 7.995e-05, eta: 4:41:05, time: 0.383, data_time: 0.055, memory: 9985, decode.loss_ce: 0.6143, decode.acc_seg: 76.8248, aux.loss_ce: 0.3538, aux.acc_seg: 69.7935, loss: 0.9681
2022-11-04 12:58:06,762 - mmseg - INFO - Iter [29100/80000]	lr: 7.988e-05, eta: 4:40:47, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5983, decode.acc_seg: 77.4330, aux.loss_ce: 0.3534, aux.acc_seg: 69.3064, loss: 0.9517
2022-11-04 12:58:22,944 - mmseg - INFO - Iter [29150/80000]	lr: 7.981e-05, eta: 4:40:30, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5875, decode.acc_seg: 77.8344, aux.loss_ce: 0.3455, aux.acc_seg: 69.9536, loss: 0.9330
2022-11-04 12:58:38,914 - mmseg - INFO - Iter [29200/80000]	lr: 7.974e-05, eta: 4:40:13, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5935, decode.acc_seg: 77.7005, aux.loss_ce: 0.3477, aux.acc_seg: 69.9085, loss: 0.9412
2022-11-04 12:58:55,071 - mmseg - INFO - Iter [29250/80000]	lr: 7.967e-05, eta: 4:39:55, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5692, decode.acc_seg: 78.2658, aux.loss_ce: 0.3350, aux.acc_seg: 70.6803, loss: 0.9043
2022-11-04 12:59:11,480 - mmseg - INFO - Iter [29300/80000]	lr: 7.960e-05, eta: 4:39:39, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5849, decode.acc_seg: 77.3476, aux.loss_ce: 0.3364, aux.acc_seg: 70.4513, loss: 0.9214
2022-11-04 12:59:27,607 - mmseg - INFO - Iter [29350/80000]	lr: 7.953e-05, eta: 4:39:21, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5953, decode.acc_seg: 77.5913, aux.loss_ce: 0.3445, aux.acc_seg: 70.1583, loss: 0.9398
2022-11-04 12:59:43,773 - mmseg - INFO - Iter [29400/80000]	lr: 7.946e-05, eta: 4:39:04, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6018, decode.acc_seg: 77.0838, aux.loss_ce: 0.3523, aux.acc_seg: 69.6824, loss: 0.9541
2022-11-04 12:59:59,992 - mmseg - INFO - Iter [29450/80000]	lr: 7.939e-05, eta: 4:38:47, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6045, decode.acc_seg: 77.0986, aux.loss_ce: 0.3599, aux.acc_seg: 68.6107, loss: 0.9644
2022-11-04 13:00:16,100 - mmseg - INFO - Iter [29500/80000]	lr: 7.932e-05, eta: 4:38:30, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6301, decode.acc_seg: 76.1727, aux.loss_ce: 0.3685, aux.acc_seg: 68.3947, loss: 0.9986
2022-11-04 13:00:32,473 - mmseg - INFO - Iter [29550/80000]	lr: 7.925e-05, eta: 4:38:13, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5899, decode.acc_seg: 77.5113, aux.loss_ce: 0.3461, aux.acc_seg: 69.8932, loss: 0.9361
2022-11-04 13:00:48,415 - mmseg - INFO - Iter [29600/80000]	lr: 7.918e-05, eta: 4:37:55, time: 0.319, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6129, decode.acc_seg: 77.0875, aux.loss_ce: 0.3619, aux.acc_seg: 68.9584, loss: 0.9748
2022-11-04 13:01:04,660 - mmseg - INFO - Iter [29650/80000]	lr: 7.911e-05, eta: 4:37:38, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6002, decode.acc_seg: 77.4170, aux.loss_ce: 0.3475, aux.acc_seg: 69.6458, loss: 0.9477
2022-11-04 13:01:23,750 - mmseg - INFO - Iter [29700/80000]	lr: 7.903e-05, eta: 4:37:26, time: 0.382, data_time: 0.061, memory: 9985, decode.loss_ce: 0.5709, decode.acc_seg: 78.0813, aux.loss_ce: 0.3361, aux.acc_seg: 70.1812, loss: 0.9070
2022-11-04 13:01:39,710 - mmseg - INFO - Iter [29750/80000]	lr: 7.896e-05, eta: 4:37:09, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5916, decode.acc_seg: 77.5289, aux.loss_ce: 0.3465, aux.acc_seg: 69.9779, loss: 0.9381
2022-11-04 13:01:55,616 - mmseg - INFO - Iter [29800/80000]	lr: 7.889e-05, eta: 4:36:51, time: 0.318, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5933, decode.acc_seg: 77.9328, aux.loss_ce: 0.3511, aux.acc_seg: 69.8397, loss: 0.9444
2022-11-04 13:02:11,801 - mmseg - INFO - Iter [29850/80000]	lr: 7.882e-05, eta: 4:36:34, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6240, decode.acc_seg: 76.3271, aux.loss_ce: 0.3588, aux.acc_seg: 68.7043, loss: 0.9827
2022-11-04 13:02:28,014 - mmseg - INFO - Iter [29900/80000]	lr: 7.875e-05, eta: 4:36:17, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6095, decode.acc_seg: 76.9696, aux.loss_ce: 0.3504, aux.acc_seg: 69.4561, loss: 0.9599
2022-11-04 13:02:43,994 - mmseg - INFO - Iter [29950/80000]	lr: 7.868e-05, eta: 4:35:59, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5968, decode.acc_seg: 77.3476, aux.loss_ce: 0.3520, aux.acc_seg: 69.0192, loss: 0.9488
2022-11-04 13:03:00,129 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 13:03:00,130 - mmseg - INFO - Iter [30000/80000]	lr: 7.861e-05, eta: 4:35:42, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5991, decode.acc_seg: 77.1092, aux.loss_ce: 0.3497, aux.acc_seg: 69.5510, loss: 0.9489
2022-11-04 13:03:16,171 - mmseg - INFO - Iter [30050/80000]	lr: 7.854e-05, eta: 4:35:25, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5887, decode.acc_seg: 77.3195, aux.loss_ce: 0.3443, aux.acc_seg: 69.5096, loss: 0.9330
2022-11-04 13:03:32,561 - mmseg - INFO - Iter [30100/80000]	lr: 7.847e-05, eta: 4:35:08, time: 0.328, data_time: 0.008, memory: 9985, decode.loss_ce: 0.6119, decode.acc_seg: 76.9748, aux.loss_ce: 0.3545, aux.acc_seg: 69.5904, loss: 0.9663
2022-11-04 13:03:48,749 - mmseg - INFO - Iter [30150/80000]	lr: 7.840e-05, eta: 4:34:51, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6053, decode.acc_seg: 77.3565, aux.loss_ce: 0.3532, aux.acc_seg: 69.9589, loss: 0.9585
2022-11-04 13:04:04,995 - mmseg - INFO - Iter [30200/80000]	lr: 7.833e-05, eta: 4:34:34, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6016, decode.acc_seg: 76.9482, aux.loss_ce: 0.3501, aux.acc_seg: 69.3033, loss: 0.9517
2022-11-04 13:04:21,086 - mmseg - INFO - Iter [30250/80000]	lr: 7.826e-05, eta: 4:34:16, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5957, decode.acc_seg: 77.4514, aux.loss_ce: 0.3396, aux.acc_seg: 70.6675, loss: 0.9353
2022-11-04 13:04:40,273 - mmseg - INFO - Iter [30300/80000]	lr: 7.819e-05, eta: 4:34:04, time: 0.384, data_time: 0.066, memory: 9985, decode.loss_ce: 0.5959, decode.acc_seg: 77.3522, aux.loss_ce: 0.3454, aux.acc_seg: 69.8277, loss: 0.9413
2022-11-04 13:04:56,428 - mmseg - INFO - Iter [30350/80000]	lr: 7.812e-05, eta: 4:33:47, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5853, decode.acc_seg: 77.9232, aux.loss_ce: 0.3429, aux.acc_seg: 69.9875, loss: 0.9282
2022-11-04 13:05:12,677 - mmseg - INFO - Iter [30400/80000]	lr: 7.804e-05, eta: 4:33:30, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5948, decode.acc_seg: 77.6707, aux.loss_ce: 0.3529, aux.acc_seg: 69.7782, loss: 0.9477
2022-11-04 13:05:29,036 - mmseg - INFO - Iter [30450/80000]	lr: 7.797e-05, eta: 4:33:13, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6039, decode.acc_seg: 77.0202, aux.loss_ce: 0.3519, aux.acc_seg: 69.4874, loss: 0.9558
2022-11-04 13:05:45,320 - mmseg - INFO - Iter [30500/80000]	lr: 7.790e-05, eta: 4:32:56, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6034, decode.acc_seg: 77.6418, aux.loss_ce: 0.3555, aux.acc_seg: 69.5932, loss: 0.9590
2022-11-04 13:06:01,582 - mmseg - INFO - Iter [30550/80000]	lr: 7.783e-05, eta: 4:32:39, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6159, decode.acc_seg: 76.9671, aux.loss_ce: 0.3683, aux.acc_seg: 68.3814, loss: 0.9842
2022-11-04 13:06:17,657 - mmseg - INFO - Iter [30600/80000]	lr: 7.776e-05, eta: 4:32:22, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5884, decode.acc_seg: 77.2622, aux.loss_ce: 0.3352, aux.acc_seg: 70.1390, loss: 0.9236
2022-11-04 13:06:33,674 - mmseg - INFO - Iter [30650/80000]	lr: 7.769e-05, eta: 4:32:04, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5939, decode.acc_seg: 77.8907, aux.loss_ce: 0.3453, aux.acc_seg: 70.1881, loss: 0.9392
2022-11-04 13:06:49,816 - mmseg - INFO - Iter [30700/80000]	lr: 7.762e-05, eta: 4:31:47, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5706, decode.acc_seg: 78.4820, aux.loss_ce: 0.3341, aux.acc_seg: 71.0648, loss: 0.9047
2022-11-04 13:07:05,832 - mmseg - INFO - Iter [30750/80000]	lr: 7.755e-05, eta: 4:31:30, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6043, decode.acc_seg: 77.3940, aux.loss_ce: 0.3527, aux.acc_seg: 69.6426, loss: 0.9570
2022-11-04 13:07:22,062 - mmseg - INFO - Iter [30800/80000]	lr: 7.748e-05, eta: 4:31:13, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6006, decode.acc_seg: 77.0289, aux.loss_ce: 0.3484, aux.acc_seg: 69.7809, loss: 0.9490
2022-11-04 13:07:38,229 - mmseg - INFO - Iter [30850/80000]	lr: 7.741e-05, eta: 4:30:56, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6042, decode.acc_seg: 77.0659, aux.loss_ce: 0.3563, aux.acc_seg: 68.7906, loss: 0.9604
2022-11-04 13:07:54,260 - mmseg - INFO - Iter [30900/80000]	lr: 7.734e-05, eta: 4:30:38, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6057, decode.acc_seg: 76.7085, aux.loss_ce: 0.3463, aux.acc_seg: 69.2670, loss: 0.9520
2022-11-04 13:08:13,217 - mmseg - INFO - Iter [30950/80000]	lr: 7.727e-05, eta: 4:30:26, time: 0.379, data_time: 0.062, memory: 9985, decode.loss_ce: 0.5662, decode.acc_seg: 78.1388, aux.loss_ce: 0.3421, aux.acc_seg: 69.9811, loss: 0.9083
2022-11-04 13:08:29,240 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 13:08:29,240 - mmseg - INFO - Iter [31000/80000]	lr: 7.719e-05, eta: 4:30:08, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5932, decode.acc_seg: 77.3389, aux.loss_ce: 0.3487, aux.acc_seg: 69.6990, loss: 0.9419
2022-11-04 13:08:45,382 - mmseg - INFO - Iter [31050/80000]	lr: 7.712e-05, eta: 4:29:51, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5787, decode.acc_seg: 78.2664, aux.loss_ce: 0.3437, aux.acc_seg: 70.2444, loss: 0.9223
2022-11-04 13:09:01,875 - mmseg - INFO - Iter [31100/80000]	lr: 7.705e-05, eta: 4:29:35, time: 0.330, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6065, decode.acc_seg: 77.4260, aux.loss_ce: 0.3522, aux.acc_seg: 69.8054, loss: 0.9587
2022-11-04 13:09:18,211 - mmseg - INFO - Iter [31150/80000]	lr: 7.698e-05, eta: 4:29:18, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6114, decode.acc_seg: 76.7969, aux.loss_ce: 0.3498, aux.acc_seg: 69.3812, loss: 0.9612
2022-11-04 13:09:34,345 - mmseg - INFO - Iter [31200/80000]	lr: 7.691e-05, eta: 4:29:01, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5978, decode.acc_seg: 77.4316, aux.loss_ce: 0.3484, aux.acc_seg: 69.5943, loss: 0.9462
2022-11-04 13:09:50,432 - mmseg - INFO - Iter [31250/80000]	lr: 7.684e-05, eta: 4:28:43, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5968, decode.acc_seg: 78.3403, aux.loss_ce: 0.3552, aux.acc_seg: 69.7120, loss: 0.9520
2022-11-04 13:10:06,551 - mmseg - INFO - Iter [31300/80000]	lr: 7.677e-05, eta: 4:28:26, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6010, decode.acc_seg: 77.0827, aux.loss_ce: 0.3534, aux.acc_seg: 69.1425, loss: 0.9544
2022-11-04 13:10:22,964 - mmseg - INFO - Iter [31350/80000]	lr: 7.670e-05, eta: 4:28:09, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6072, decode.acc_seg: 76.8056, aux.loss_ce: 0.3524, aux.acc_seg: 69.0558, loss: 0.9596
2022-11-04 13:10:39,151 - mmseg - INFO - Iter [31400/80000]	lr: 7.663e-05, eta: 4:27:52, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6112, decode.acc_seg: 77.0955, aux.loss_ce: 0.3519, aux.acc_seg: 69.1328, loss: 0.9631
2022-11-04 13:10:55,559 - mmseg - INFO - Iter [31450/80000]	lr: 7.656e-05, eta: 4:27:36, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6105, decode.acc_seg: 77.0910, aux.loss_ce: 0.3564, aux.acc_seg: 68.7754, loss: 0.9669
2022-11-04 13:11:12,020 - mmseg - INFO - Iter [31500/80000]	lr: 7.648e-05, eta: 4:27:19, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6022, decode.acc_seg: 77.3367, aux.loss_ce: 0.3538, aux.acc_seg: 69.4246, loss: 0.9560
2022-11-04 13:11:28,033 - mmseg - INFO - Iter [31550/80000]	lr: 7.641e-05, eta: 4:27:02, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5880, decode.acc_seg: 77.7151, aux.loss_ce: 0.3391, aux.acc_seg: 70.3297, loss: 0.9271
2022-11-04 13:11:48,023 - mmseg - INFO - Iter [31600/80000]	lr: 7.634e-05, eta: 4:26:50, time: 0.400, data_time: 0.062, memory: 9985, decode.loss_ce: 0.5751, decode.acc_seg: 77.8901, aux.loss_ce: 0.3266, aux.acc_seg: 71.0329, loss: 0.9017
2022-11-04 13:12:04,260 - mmseg - INFO - Iter [31650/80000]	lr: 7.627e-05, eta: 4:26:33, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5743, decode.acc_seg: 78.3867, aux.loss_ce: 0.3393, aux.acc_seg: 70.5594, loss: 0.9135
2022-11-04 13:12:20,217 - mmseg - INFO - Iter [31700/80000]	lr: 7.620e-05, eta: 4:26:16, time: 0.319, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5901, decode.acc_seg: 77.8647, aux.loss_ce: 0.3453, aux.acc_seg: 70.0768, loss: 0.9353
2022-11-04 13:12:36,529 - mmseg - INFO - Iter [31750/80000]	lr: 7.613e-05, eta: 4:25:59, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6011, decode.acc_seg: 77.2633, aux.loss_ce: 0.3585, aux.acc_seg: 68.8059, loss: 0.9596
2022-11-04 13:12:52,551 - mmseg - INFO - Iter [31800/80000]	lr: 7.606e-05, eta: 4:25:42, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5821, decode.acc_seg: 77.5545, aux.loss_ce: 0.3413, aux.acc_seg: 69.8515, loss: 0.9234
2022-11-04 13:13:08,815 - mmseg - INFO - Iter [31850/80000]	lr: 7.599e-05, eta: 4:25:25, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5880, decode.acc_seg: 77.3866, aux.loss_ce: 0.3489, aux.acc_seg: 69.1531, loss: 0.9369
2022-11-04 13:13:25,053 - mmseg - INFO - Iter [31900/80000]	lr: 7.592e-05, eta: 4:25:08, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6034, decode.acc_seg: 77.1107, aux.loss_ce: 0.3505, aux.acc_seg: 69.3619, loss: 0.9539
2022-11-04 13:13:41,411 - mmseg - INFO - Iter [31950/80000]	lr: 7.585e-05, eta: 4:24:51, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5986, decode.acc_seg: 77.2130, aux.loss_ce: 0.3433, aux.acc_seg: 69.9163, loss: 0.9420
2022-11-04 13:13:57,306 - mmseg - INFO - Saving checkpoint at 32000 iterations
2022-11-04 13:13:57,553 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 13:13:57,553 - mmseg - INFO - Iter [32000/80000]	lr: 7.577e-05, eta: 4:24:34, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5836, decode.acc_seg: 77.6321, aux.loss_ce: 0.3447, aux.acc_seg: 69.6355, loss: 0.9283
2022-11-04 13:14:06,730 - mmseg - INFO - per class results:
2022-11-04 13:14:06,737 - mmseg - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 64.83 | 83.45 |
|       building      |  74.7 | 90.11 |
|         sky         | 90.16 |  95.4 |
|        floor        | 68.47 | 84.17 |
|         tree        | 64.84 | 83.16 |
|       ceiling       | 73.97 | 83.74 |
|         road        | 74.62 | 88.41 |
|         bed         | 71.17 | 89.66 |
|      windowpane     | 47.55 | 64.38 |
|        grass        | 62.33 | 79.14 |
|       cabinet       | 45.13 | 57.79 |
|       sidewalk      | 48.78 | 60.98 |
|        person       | 62.42 | 78.07 |
|        earth        | 29.56 | 40.58 |
|         door        | 24.98 | 34.02 |
|        table        | 35.51 | 49.18 |
|       mountain      | 53.07 | 68.68 |
|        plant        | 38.64 | 46.04 |
|       curtain       | 52.64 | 70.67 |
|        chair        | 35.04 | 51.13 |
|         car         | 69.25 | 82.14 |
|        water        | 38.06 | 53.21 |
|       painting      | 52.44 | 65.54 |
|         sofa        | 47.05 | 68.91 |
|        shelf        | 30.71 |  46.3 |
|        house        | 41.84 | 57.85 |
|         sea         | 46.89 | 78.83 |
|        mirror       | 38.34 | 48.92 |
|         rug         |  33.5 | 39.84 |
|        field        | 27.98 | 56.56 |
|       armchair      | 20.76 | 29.55 |
|         seat        | 49.66 | 74.51 |
|        fence        | 16.16 | 19.33 |
|         desk        | 33.56 | 50.23 |
|         rock        | 35.41 | 52.64 |
|       wardrobe      | 42.05 | 59.08 |
|         lamp        | 33.28 | 47.48 |
|       bathtub       | 45.25 | 68.31 |
|       railing       | 24.79 | 33.87 |
|       cushion       | 25.79 |  33.4 |
|         base        |  16.1 | 21.39 |
|         box         |  8.54 | 10.86 |
|        column       | 27.04 | 32.59 |
|      signboard      | 18.61 | 24.27 |
|   chest of drawers  | 29.99 | 51.78 |
|       counter       | 24.09 | 27.28 |
|         sand        | 18.69 | 36.22 |
|         sink        | 37.92 | 44.86 |
|      skyscraper     | 45.82 | 56.05 |
|      fireplace      | 43.02 | 66.93 |
|     refrigerator    | 43.83 | 61.28 |
|      grandstand     | 40.23 | 57.31 |
|         path        | 12.01 | 14.55 |
|        stairs       |  16.6 |  19.0 |
|        runway       | 68.09 | 95.29 |
|         case        | 36.08 | 65.57 |
|      pool table     |  77.4 | 89.64 |
|        pillow       | 31.77 | 39.95 |
|     screen door     | 49.85 | 75.47 |
|       stairway      | 17.51 | 26.29 |
|        river        |  3.42 |  8.34 |
|        bridge       | 24.36 | 37.94 |
|       bookcase      | 21.37 | 38.69 |
|        blind        | 10.24 | 11.35 |
|     coffee table    |  36.0 | 62.83 |
|        toilet       | 58.97 | 76.02 |
|        flower       | 21.43 | 27.55 |
|         book        | 37.88 | 59.82 |
|         hill        |  2.81 |  5.46 |
|        bench        | 31.34 | 44.92 |
|      countertop     | 31.49 | 44.46 |
|        stove        |  41.5 | 54.99 |
|         palm        | 33.37 | 41.03 |
|    kitchen island   | 20.23 | 46.54 |
|       computer      | 43.13 | 56.59 |
|     swivel chair    | 26.62 | 33.81 |
|         boat        | 47.71 | 68.69 |
|         bar         | 16.18 | 19.11 |
|    arcade machine   | 20.77 | 25.56 |
|        hovel        | 52.52 | 65.75 |
|         bus         | 65.04 | 80.65 |
|        towel        | 29.67 | 38.96 |
|        light        | 10.44 | 11.21 |
|        truck        |  7.95 |  9.3  |
|        tower        | 33.14 | 41.28 |
|      chandelier     |  44.6 | 54.73 |
|        awning       | 13.99 | 16.38 |
|     streetlight     |  3.33 |  3.54 |
|        booth        | 28.16 | 34.95 |
| television receiver | 49.61 | 57.91 |
|       airplane      | 37.16 | 51.42 |
|      dirt track     |  6.64 | 13.04 |
|       apparel       | 16.28 | 21.53 |
|         pole        |  3.05 |  3.4  |
|         land        |  0.02 |  0.03 |
|      bannister      |  0.6  |  0.86 |
|      escalator      | 16.51 | 18.29 |
|       ottoman       | 12.89 | 14.89 |
|        bottle       |  0.79 |  0.81 |
|        buffet       | 37.23 | 41.91 |
|        poster       |  8.79 |  9.69 |
|        stage        |  7.62 | 13.07 |
|         van         | 10.64 | 11.69 |
|         ship        | 33.39 | 34.72 |
|       fountain      | 13.32 | 13.75 |
|    conveyer belt    | 68.24 | 79.45 |
|        canopy       |  9.53 | 15.44 |
|        washer       | 51.54 | 62.48 |
|      plaything      |  2.78 |  3.52 |
|    swimming pool    | 28.22 | 52.49 |
|        stool        |  5.19 |  5.8  |
|        barrel       | 23.24 | 38.41 |
|        basket       |  8.18 |  9.04 |
|      waterfall      | 33.08 | 39.66 |
|         tent        | 73.61 | 98.98 |
|         bag         |  0.54 |  0.55 |
|       minibike      | 44.87 | 52.92 |
|        cradle       | 53.78 | 77.89 |
|         oven        | 20.44 | 27.63 |
|         ball        | 29.87 | 39.26 |
|         food        | 40.72 | 51.44 |
|         step        |  3.96 |  4.22 |
|         tank        | 24.05 | 29.88 |
|      trade name     |  15.7 | 16.84 |
|      microwave      | 18.76 | 20.56 |
|         pot         | 28.22 | 33.82 |
|        animal       | 36.33 | 38.43 |
|       bicycle       | 32.26 |  44.8 |
|         lake        | 23.21 | 26.34 |
|      dishwasher     | 24.53 | 34.66 |
|        screen       | 46.98 |  67.1 |
|       blanket       |  0.0  |  0.0  |
|      sculpture      | 23.65 | 28.37 |
|         hood        |  25.1 | 29.46 |
|        sconce       |  5.13 |  5.26 |
|         vase        | 11.28 | 14.46 |
|    traffic light    |  8.23 |  9.8  |
|         tray        |  0.6  |  0.66 |
|        ashcan       |  10.9 | 13.18 |
|         fan         | 22.64 | 27.87 |
|         pier        | 33.95 | 47.02 |
|      crt screen     |  0.0  |  0.0  |
|        plate        | 21.72 | 27.11 |
|       monitor       | 10.34 | 11.07 |
|    bulletin board   | 24.55 | 27.43 |
|        shower       |  0.0  |  0.0  |
|       radiator      | 26.07 | 28.55 |
|        glass        |  0.53 |  0.53 |
|        clock        |  2.09 |  2.14 |
|         flag        | 11.74 | 12.28 |
+---------------------+-------+-------+
2022-11-04 13:14:06,737 - mmseg - INFO - Summary:
2022-11-04 13:14:06,737 - mmseg - INFO - 
+-------+-------+-------+
|  aAcc |  mIoU |  mAcc |
+-------+-------+-------+
| 73.94 | 30.62 | 40.44 |
+-------+-------+-------+
2022-11-04 13:14:06,738 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 13:14:06,739 - mmseg - INFO - Iter(val) [250]	aAcc: 0.7394, mIoU: 0.3062, mAcc: 0.4044, IoU.wall: 0.6483, IoU.building: 0.7470, IoU.sky: 0.9016, IoU.floor: 0.6847, IoU.tree: 0.6484, IoU.ceiling: 0.7397, IoU.road: 0.7462, IoU.bed : 0.7117, IoU.windowpane: 0.4755, IoU.grass: 0.6233, IoU.cabinet: 0.4513, IoU.sidewalk: 0.4878, IoU.person: 0.6242, IoU.earth: 0.2956, IoU.door: 0.2498, IoU.table: 0.3551, IoU.mountain: 0.5307, IoU.plant: 0.3864, IoU.curtain: 0.5264, IoU.chair: 0.3504, IoU.car: 0.6925, IoU.water: 0.3806, IoU.painting: 0.5244, IoU.sofa: 0.4705, IoU.shelf: 0.3071, IoU.house: 0.4184, IoU.sea: 0.4689, IoU.mirror: 0.3834, IoU.rug: 0.3350, IoU.field: 0.2798, IoU.armchair: 0.2076, IoU.seat: 0.4966, IoU.fence: 0.1616, IoU.desk: 0.3356, IoU.rock: 0.3541, IoU.wardrobe: 0.4205, IoU.lamp: 0.3328, IoU.bathtub: 0.4525, IoU.railing: 0.2479, IoU.cushion: 0.2579, IoU.base: 0.1610, IoU.box: 0.0854, IoU.column: 0.2704, IoU.signboard: 0.1861, IoU.chest of drawers: 0.2999, IoU.counter: 0.2409, IoU.sand: 0.1869, IoU.sink: 0.3792, IoU.skyscraper: 0.4582, IoU.fireplace: 0.4302, IoU.refrigerator: 0.4383, IoU.grandstand: 0.4023, IoU.path: 0.1201, IoU.stairs: 0.1660, IoU.runway: 0.6809, IoU.case: 0.3608, IoU.pool table: 0.7740, IoU.pillow: 0.3177, IoU.screen door: 0.4985, IoU.stairway: 0.1751, IoU.river: 0.0342, IoU.bridge: 0.2436, IoU.bookcase: 0.2137, IoU.blind: 0.1024, IoU.coffee table: 0.3600, IoU.toilet: 0.5897, IoU.flower: 0.2143, IoU.book: 0.3788, IoU.hill: 0.0281, IoU.bench: 0.3134, IoU.countertop: 0.3149, IoU.stove: 0.4150, IoU.palm: 0.3337, IoU.kitchen island: 0.2023, IoU.computer: 0.4313, IoU.swivel chair: 0.2662, IoU.boat: 0.4771, IoU.bar: 0.1618, IoU.arcade machine: 0.2077, IoU.hovel: 0.5252, IoU.bus: 0.6504, IoU.towel: 0.2967, IoU.light: 0.1044, IoU.truck: 0.0795, IoU.tower: 0.3314, IoU.chandelier: 0.4460, IoU.awning: 0.1399, IoU.streetlight: 0.0333, IoU.booth: 0.2816, IoU.television receiver: 0.4961, IoU.airplane: 0.3716, IoU.dirt track: 0.0664, IoU.apparel: 0.1628, IoU.pole: 0.0305, IoU.land: 0.0002, IoU.bannister: 0.0060, IoU.escalator: 0.1651, IoU.ottoman: 0.1289, IoU.bottle: 0.0079, IoU.buffet: 0.3723, IoU.poster: 0.0879, IoU.stage: 0.0762, IoU.van: 0.1064, IoU.ship: 0.3339, IoU.fountain: 0.1332, IoU.conveyer belt: 0.6824, IoU.canopy: 0.0953, IoU.washer: 0.5154, IoU.plaything: 0.0278, IoU.swimming pool: 0.2822, IoU.stool: 0.0519, IoU.barrel: 0.2324, IoU.basket: 0.0818, IoU.waterfall: 0.3308, IoU.tent: 0.7361, IoU.bag: 0.0054, IoU.minibike: 0.4487, IoU.cradle: 0.5378, IoU.oven: 0.2044, IoU.ball: 0.2987, IoU.food: 0.4072, IoU.step: 0.0396, IoU.tank: 0.2405, IoU.trade name: 0.1570, IoU.microwave: 0.1876, IoU.pot: 0.2822, IoU.animal: 0.3633, IoU.bicycle: 0.3226, IoU.lake: 0.2321, IoU.dishwasher: 0.2453, IoU.screen: 0.4698, IoU.blanket: 0.0000, IoU.sculpture: 0.2365, IoU.hood: 0.2510, IoU.sconce: 0.0513, IoU.vase: 0.1128, IoU.traffic light: 0.0823, IoU.tray: 0.0060, IoU.ashcan: 0.1090, IoU.fan: 0.2264, IoU.pier: 0.3395, IoU.crt screen: 0.0000, IoU.plate: 0.2172, IoU.monitor: 0.1034, IoU.bulletin board: 0.2455, IoU.shower: 0.0000, IoU.radiator: 0.2607, IoU.glass: 0.0053, IoU.clock: 0.0209, IoU.flag: 0.1174, Acc.wall: 0.8345, Acc.building: 0.9011, Acc.sky: 0.9540, Acc.floor: 0.8417, Acc.tree: 0.8316, Acc.ceiling: 0.8374, Acc.road: 0.8841, Acc.bed : 0.8966, Acc.windowpane: 0.6438, Acc.grass: 0.7914, Acc.cabinet: 0.5779, Acc.sidewalk: 0.6098, Acc.person: 0.7807, Acc.earth: 0.4058, Acc.door: 0.3402, Acc.table: 0.4918, Acc.mountain: 0.6868, Acc.plant: 0.4604, Acc.curtain: 0.7067, Acc.chair: 0.5113, Acc.car: 0.8214, Acc.water: 0.5321, Acc.painting: 0.6554, Acc.sofa: 0.6891, Acc.shelf: 0.4630, Acc.house: 0.5785, Acc.sea: 0.7883, Acc.mirror: 0.4892, Acc.rug: 0.3984, Acc.field: 0.5656, Acc.armchair: 0.2955, Acc.seat: 0.7451, Acc.fence: 0.1933, Acc.desk: 0.5023, Acc.rock: 0.5264, Acc.wardrobe: 0.5908, Acc.lamp: 0.4748, Acc.bathtub: 0.6831, Acc.railing: 0.3387, Acc.cushion: 0.3340, Acc.base: 0.2139, Acc.box: 0.1086, Acc.column: 0.3259, Acc.signboard: 0.2427, Acc.chest of drawers: 0.5178, Acc.counter: 0.2728, Acc.sand: 0.3622, Acc.sink: 0.4486, Acc.skyscraper: 0.5605, Acc.fireplace: 0.6693, Acc.refrigerator: 0.6128, Acc.grandstand: 0.5731, Acc.path: 0.1455, Acc.stairs: 0.1900, Acc.runway: 0.9529, Acc.case: 0.6557, Acc.pool table: 0.8964, Acc.pillow: 0.3995, Acc.screen door: 0.7547, Acc.stairway: 0.2629, Acc.river: 0.0834, Acc.bridge: 0.3794, Acc.bookcase: 0.3869, Acc.blind: 0.1135, Acc.coffee table: 0.6283, Acc.toilet: 0.7602, Acc.flower: 0.2755, Acc.book: 0.5982, Acc.hill: 0.0546, Acc.bench: 0.4492, Acc.countertop: 0.4446, Acc.stove: 0.5499, Acc.palm: 0.4103, Acc.kitchen island: 0.4654, Acc.computer: 0.5659, Acc.swivel chair: 0.3381, Acc.boat: 0.6869, Acc.bar: 0.1911, Acc.arcade machine: 0.2556, Acc.hovel: 0.6575, Acc.bus: 0.8065, Acc.towel: 0.3896, Acc.light: 0.1121, Acc.truck: 0.0930, Acc.tower: 0.4128, Acc.chandelier: 0.5473, Acc.awning: 0.1638, Acc.streetlight: 0.0354, Acc.booth: 0.3495, Acc.television receiver: 0.5791, Acc.airplane: 0.5142, Acc.dirt track: 0.1304, Acc.apparel: 0.2153, Acc.pole: 0.0340, Acc.land: 0.0003, Acc.bannister: 0.0086, Acc.escalator: 0.1829, Acc.ottoman: 0.1489, Acc.bottle: 0.0081, Acc.buffet: 0.4191, Acc.poster: 0.0969, Acc.stage: 0.1307, Acc.van: 0.1169, Acc.ship: 0.3472, Acc.fountain: 0.1375, Acc.conveyer belt: 0.7945, Acc.canopy: 0.1544, Acc.washer: 0.6248, Acc.plaything: 0.0352, Acc.swimming pool: 0.5249, Acc.stool: 0.0580, Acc.barrel: 0.3841, Acc.basket: 0.0904, Acc.waterfall: 0.3966, Acc.tent: 0.9898, Acc.bag: 0.0055, Acc.minibike: 0.5292, Acc.cradle: 0.7789, Acc.oven: 0.2763, Acc.ball: 0.3926, Acc.food: 0.5144, Acc.step: 0.0422, Acc.tank: 0.2988, Acc.trade name: 0.1684, Acc.microwave: 0.2056, Acc.pot: 0.3382, Acc.animal: 0.3843, Acc.bicycle: 0.4480, Acc.lake: 0.2634, Acc.dishwasher: 0.3466, Acc.screen: 0.6710, Acc.blanket: 0.0000, Acc.sculpture: 0.2837, Acc.hood: 0.2946, Acc.sconce: 0.0526, Acc.vase: 0.1446, Acc.traffic light: 0.0980, Acc.tray: 0.0066, Acc.ashcan: 0.1318, Acc.fan: 0.2787, Acc.pier: 0.4702, Acc.crt screen: 0.0000, Acc.plate: 0.2711, Acc.monitor: 0.1107, Acc.bulletin board: 0.2743, Acc.shower: 0.0000, Acc.radiator: 0.2855, Acc.glass: 0.0053, Acc.clock: 0.0214, Acc.flag: 0.1228
2022-11-04 13:14:22,917 - mmseg - INFO - Iter [32050/80000]	lr: 7.570e-05, eta: 4:24:30, time: 0.507, data_time: 0.193, memory: 9985, decode.loss_ce: 0.5947, decode.acc_seg: 77.6914, aux.loss_ce: 0.3421, aux.acc_seg: 70.2372, loss: 0.9368
2022-11-04 13:14:39,093 - mmseg - INFO - Iter [32100/80000]	lr: 7.563e-05, eta: 4:24:13, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5932, decode.acc_seg: 77.7011, aux.loss_ce: 0.3435, aux.acc_seg: 69.9954, loss: 0.9367
2022-11-04 13:14:55,299 - mmseg - INFO - Iter [32150/80000]	lr: 7.556e-05, eta: 4:23:56, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6172, decode.acc_seg: 76.2474, aux.loss_ce: 0.3581, aux.acc_seg: 68.4311, loss: 0.9752
2022-11-04 13:15:14,365 - mmseg - INFO - Iter [32200/80000]	lr: 7.549e-05, eta: 4:23:43, time: 0.381, data_time: 0.062, memory: 9985, decode.loss_ce: 0.5942, decode.acc_seg: 77.4235, aux.loss_ce: 0.3484, aux.acc_seg: 69.8761, loss: 0.9426
2022-11-04 13:15:30,444 - mmseg - INFO - Iter [32250/80000]	lr: 7.542e-05, eta: 4:23:26, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5595, decode.acc_seg: 78.8588, aux.loss_ce: 0.3329, aux.acc_seg: 70.7987, loss: 0.8924
2022-11-04 13:15:46,465 - mmseg - INFO - Iter [32300/80000]	lr: 7.535e-05, eta: 4:23:09, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5950, decode.acc_seg: 77.5723, aux.loss_ce: 0.3542, aux.acc_seg: 69.5347, loss: 0.9492
2022-11-04 13:16:02,636 - mmseg - INFO - Iter [32350/80000]	lr: 7.528e-05, eta: 4:22:52, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6058, decode.acc_seg: 77.0178, aux.loss_ce: 0.3556, aux.acc_seg: 69.0405, loss: 0.9614
2022-11-04 13:16:18,789 - mmseg - INFO - Iter [32400/80000]	lr: 7.521e-05, eta: 4:22:35, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5811, decode.acc_seg: 78.2244, aux.loss_ce: 0.3502, aux.acc_seg: 69.9667, loss: 0.9313
2022-11-04 13:16:34,958 - mmseg - INFO - Iter [32450/80000]	lr: 7.514e-05, eta: 4:22:18, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6052, decode.acc_seg: 76.8081, aux.loss_ce: 0.3576, aux.acc_seg: 68.9472, loss: 0.9628
2022-11-04 13:16:51,546 - mmseg - INFO - Iter [32500/80000]	lr: 7.506e-05, eta: 4:22:01, time: 0.332, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5874, decode.acc_seg: 77.7024, aux.loss_ce: 0.3398, aux.acc_seg: 70.5394, loss: 0.9271
2022-11-04 13:17:07,822 - mmseg - INFO - Iter [32550/80000]	lr: 7.499e-05, eta: 4:21:44, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5841, decode.acc_seg: 77.6666, aux.loss_ce: 0.3439, aux.acc_seg: 69.8497, loss: 0.9280
2022-11-04 13:17:24,204 - mmseg - INFO - Iter [32600/80000]	lr: 7.492e-05, eta: 4:21:27, time: 0.328, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6131, decode.acc_seg: 77.1551, aux.loss_ce: 0.3526, aux.acc_seg: 69.4414, loss: 0.9657
2022-11-04 13:17:40,462 - mmseg - INFO - Iter [32650/80000]	lr: 7.485e-05, eta: 4:21:10, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5980, decode.acc_seg: 77.7127, aux.loss_ce: 0.3470, aux.acc_seg: 70.0919, loss: 0.9450
2022-11-04 13:17:56,651 - mmseg - INFO - Iter [32700/80000]	lr: 7.478e-05, eta: 4:20:53, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5955, decode.acc_seg: 77.2817, aux.loss_ce: 0.3492, aux.acc_seg: 69.3331, loss: 0.9447
2022-11-04 13:18:12,986 - mmseg - INFO - Iter [32750/80000]	lr: 7.471e-05, eta: 4:20:36, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5941, decode.acc_seg: 77.7333, aux.loss_ce: 0.3511, aux.acc_seg: 69.4629, loss: 0.9453
2022-11-04 13:18:29,345 - mmseg - INFO - Iter [32800/80000]	lr: 7.464e-05, eta: 4:20:20, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6125, decode.acc_seg: 77.0194, aux.loss_ce: 0.3610, aux.acc_seg: 68.8319, loss: 0.9735
2022-11-04 13:18:48,450 - mmseg - INFO - Iter [32850/80000]	lr: 7.457e-05, eta: 4:20:07, time: 0.382, data_time: 0.058, memory: 9985, decode.loss_ce: 0.5818, decode.acc_seg: 77.8925, aux.loss_ce: 0.3443, aux.acc_seg: 70.0613, loss: 0.9261
2022-11-04 13:19:04,647 - mmseg - INFO - Iter [32900/80000]	lr: 7.450e-05, eta: 4:19:50, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5546, decode.acc_seg: 78.5897, aux.loss_ce: 0.3242, aux.acc_seg: 71.4500, loss: 0.8788
2022-11-04 13:19:20,850 - mmseg - INFO - Iter [32950/80000]	lr: 7.442e-05, eta: 4:19:33, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5911, decode.acc_seg: 77.4569, aux.loss_ce: 0.3424, aux.acc_seg: 70.0424, loss: 0.9336
2022-11-04 13:19:37,071 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 13:19:37,071 - mmseg - INFO - Iter [33000/80000]	lr: 7.435e-05, eta: 4:19:16, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5721, decode.acc_seg: 78.1619, aux.loss_ce: 0.3463, aux.acc_seg: 70.1377, loss: 0.9184
2022-11-04 13:19:53,391 - mmseg - INFO - Iter [33050/80000]	lr: 7.428e-05, eta: 4:18:59, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5858, decode.acc_seg: 78.0000, aux.loss_ce: 0.3399, aux.acc_seg: 70.2407, loss: 0.9257
2022-11-04 13:20:09,603 - mmseg - INFO - Iter [33100/80000]	lr: 7.421e-05, eta: 4:18:42, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5717, decode.acc_seg: 78.2300, aux.loss_ce: 0.3347, aux.acc_seg: 70.5104, loss: 0.9064
2022-11-04 13:20:25,899 - mmseg - INFO - Iter [33150/80000]	lr: 7.414e-05, eta: 4:18:25, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5947, decode.acc_seg: 77.6725, aux.loss_ce: 0.3486, aux.acc_seg: 69.7550, loss: 0.9432
2022-11-04 13:20:41,920 - mmseg - INFO - Iter [33200/80000]	lr: 7.407e-05, eta: 4:18:08, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5814, decode.acc_seg: 78.0352, aux.loss_ce: 0.3390, aux.acc_seg: 70.6240, loss: 0.9204
2022-11-04 13:20:58,162 - mmseg - INFO - Iter [33250/80000]	lr: 7.400e-05, eta: 4:17:51, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6061, decode.acc_seg: 77.5798, aux.loss_ce: 0.3633, aux.acc_seg: 69.0782, loss: 0.9693
2022-11-04 13:21:14,470 - mmseg - INFO - Iter [33300/80000]	lr: 7.393e-05, eta: 4:17:34, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5770, decode.acc_seg: 77.5145, aux.loss_ce: 0.3386, aux.acc_seg: 70.3138, loss: 0.9156
2022-11-04 13:21:30,603 - mmseg - INFO - Iter [33350/80000]	lr: 7.385e-05, eta: 4:17:17, time: 0.323, data_time: 0.008, memory: 9985, decode.loss_ce: 0.5994, decode.acc_seg: 77.4185, aux.loss_ce: 0.3497, aux.acc_seg: 69.4421, loss: 0.9491
2022-11-04 13:21:46,749 - mmseg - INFO - Iter [33400/80000]	lr: 7.378e-05, eta: 4:16:59, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5789, decode.acc_seg: 78.0549, aux.loss_ce: 0.3392, aux.acc_seg: 70.5417, loss: 0.9181
2022-11-04 13:22:05,821 - mmseg - INFO - Iter [33450/80000]	lr: 7.371e-05, eta: 4:16:46, time: 0.381, data_time: 0.061, memory: 9985, decode.loss_ce: 0.5901, decode.acc_seg: 77.5902, aux.loss_ce: 0.3532, aux.acc_seg: 69.2248, loss: 0.9434
2022-11-04 13:22:22,218 - mmseg - INFO - Iter [33500/80000]	lr: 7.364e-05, eta: 4:16:30, time: 0.328, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6157, decode.acc_seg: 76.7376, aux.loss_ce: 0.3538, aux.acc_seg: 69.3355, loss: 0.9695
2022-11-04 13:22:38,713 - mmseg - INFO - Iter [33550/80000]	lr: 7.357e-05, eta: 4:16:13, time: 0.330, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5784, decode.acc_seg: 77.9639, aux.loss_ce: 0.3452, aux.acc_seg: 69.9693, loss: 0.9236
2022-11-04 13:22:55,007 - mmseg - INFO - Iter [33600/80000]	lr: 7.350e-05, eta: 4:15:56, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6035, decode.acc_seg: 76.7755, aux.loss_ce: 0.3528, aux.acc_seg: 68.9546, loss: 0.9563
2022-11-04 13:23:11,444 - mmseg - INFO - Iter [33650/80000]	lr: 7.343e-05, eta: 4:15:39, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5596, decode.acc_seg: 78.7957, aux.loss_ce: 0.3376, aux.acc_seg: 70.6421, loss: 0.8971
2022-11-04 13:23:27,687 - mmseg - INFO - Iter [33700/80000]	lr: 7.336e-05, eta: 4:15:22, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5590, decode.acc_seg: 78.6345, aux.loss_ce: 0.3290, aux.acc_seg: 70.9261, loss: 0.8880
2022-11-04 13:23:44,079 - mmseg - INFO - Iter [33750/80000]	lr: 7.328e-05, eta: 4:15:06, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5683, decode.acc_seg: 78.6135, aux.loss_ce: 0.3420, aux.acc_seg: 70.3020, loss: 0.9103
2022-11-04 13:24:00,697 - mmseg - INFO - Iter [33800/80000]	lr: 7.321e-05, eta: 4:14:49, time: 0.332, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5906, decode.acc_seg: 77.7967, aux.loss_ce: 0.3421, aux.acc_seg: 70.1789, loss: 0.9327
2022-11-04 13:24:16,652 - mmseg - INFO - Iter [33850/80000]	lr: 7.314e-05, eta: 4:14:32, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5829, decode.acc_seg: 77.8809, aux.loss_ce: 0.3400, aux.acc_seg: 70.6981, loss: 0.9229
2022-11-04 13:24:32,831 - mmseg - INFO - Iter [33900/80000]	lr: 7.307e-05, eta: 4:14:15, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5883, decode.acc_seg: 78.1941, aux.loss_ce: 0.3517, aux.acc_seg: 69.9382, loss: 0.9400
2022-11-04 13:24:49,150 - mmseg - INFO - Iter [33950/80000]	lr: 7.300e-05, eta: 4:13:58, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5962, decode.acc_seg: 77.6812, aux.loss_ce: 0.3525, aux.acc_seg: 69.5935, loss: 0.9487
2022-11-04 13:25:05,378 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 13:25:05,378 - mmseg - INFO - Iter [34000/80000]	lr: 7.293e-05, eta: 4:13:41, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5777, decode.acc_seg: 78.2004, aux.loss_ce: 0.3446, aux.acc_seg: 69.9816, loss: 0.9223
2022-11-04 13:25:21,554 - mmseg - INFO - Iter [34050/80000]	lr: 7.286e-05, eta: 4:13:24, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5831, decode.acc_seg: 77.7448, aux.loss_ce: 0.3470, aux.acc_seg: 70.0692, loss: 0.9302
2022-11-04 13:25:40,844 - mmseg - INFO - Iter [34100/80000]	lr: 7.278e-05, eta: 4:13:11, time: 0.386, data_time: 0.066, memory: 9985, decode.loss_ce: 0.5706, decode.acc_seg: 78.0632, aux.loss_ce: 0.3388, aux.acc_seg: 70.1073, loss: 0.9094
2022-11-04 13:25:57,080 - mmseg - INFO - Iter [34150/80000]	lr: 7.271e-05, eta: 4:12:54, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5676, decode.acc_seg: 78.3445, aux.loss_ce: 0.3369, aux.acc_seg: 70.3382, loss: 0.9044
2022-11-04 13:26:13,157 - mmseg - INFO - Iter [34200/80000]	lr: 7.264e-05, eta: 4:12:37, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5666, decode.acc_seg: 78.3241, aux.loss_ce: 0.3432, aux.acc_seg: 70.0461, loss: 0.9099
2022-11-04 13:26:29,441 - mmseg - INFO - Iter [34250/80000]	lr: 7.257e-05, eta: 4:12:20, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5951, decode.acc_seg: 78.0773, aux.loss_ce: 0.3477, aux.acc_seg: 70.2064, loss: 0.9429
2022-11-04 13:26:45,821 - mmseg - INFO - Iter [34300/80000]	lr: 7.250e-05, eta: 4:12:03, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6021, decode.acc_seg: 77.2835, aux.loss_ce: 0.3547, aux.acc_seg: 69.4220, loss: 0.9568
2022-11-04 13:27:02,019 - mmseg - INFO - Iter [34350/80000]	lr: 7.243e-05, eta: 4:11:46, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5556, decode.acc_seg: 78.6351, aux.loss_ce: 0.3293, aux.acc_seg: 70.9285, loss: 0.8849
2022-11-04 13:27:18,455 - mmseg - INFO - Iter [34400/80000]	lr: 7.236e-05, eta: 4:11:30, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5878, decode.acc_seg: 77.7007, aux.loss_ce: 0.3439, aux.acc_seg: 69.8532, loss: 0.9317
2022-11-04 13:27:34,417 - mmseg - INFO - Iter [34450/80000]	lr: 7.229e-05, eta: 4:11:12, time: 0.319, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5861, decode.acc_seg: 77.8198, aux.loss_ce: 0.3368, aux.acc_seg: 70.3660, loss: 0.9229
2022-11-04 13:27:50,510 - mmseg - INFO - Iter [34500/80000]	lr: 7.221e-05, eta: 4:10:55, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5931, decode.acc_seg: 77.4422, aux.loss_ce: 0.3499, aux.acc_seg: 69.7556, loss: 0.9429
2022-11-04 13:28:06,754 - mmseg - INFO - Iter [34550/80000]	lr: 7.214e-05, eta: 4:10:38, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5999, decode.acc_seg: 77.0394, aux.loss_ce: 0.3590, aux.acc_seg: 68.9070, loss: 0.9589
2022-11-04 13:28:22,737 - mmseg - INFO - Iter [34600/80000]	lr: 7.207e-05, eta: 4:10:21, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5878, decode.acc_seg: 77.8275, aux.loss_ce: 0.3516, aux.acc_seg: 69.6417, loss: 0.9395
2022-11-04 13:28:38,933 - mmseg - INFO - Iter [34650/80000]	lr: 7.200e-05, eta: 4:10:04, time: 0.324, data_time: 0.008, memory: 9985, decode.loss_ce: 0.5791, decode.acc_seg: 77.6231, aux.loss_ce: 0.3404, aux.acc_seg: 69.7917, loss: 0.9194
2022-11-04 13:28:55,025 - mmseg - INFO - Iter [34700/80000]	lr: 7.193e-05, eta: 4:09:47, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5867, decode.acc_seg: 77.8333, aux.loss_ce: 0.3443, aux.acc_seg: 69.9492, loss: 0.9310
2022-11-04 13:29:14,077 - mmseg - INFO - Iter [34750/80000]	lr: 7.186e-05, eta: 4:09:33, time: 0.381, data_time: 0.067, memory: 9985, decode.loss_ce: 0.5740, decode.acc_seg: 78.0822, aux.loss_ce: 0.3407, aux.acc_seg: 70.1629, loss: 0.9147
2022-11-04 13:29:30,104 - mmseg - INFO - Iter [34800/80000]	lr: 7.178e-05, eta: 4:09:16, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5561, decode.acc_seg: 78.8039, aux.loss_ce: 0.3364, aux.acc_seg: 70.9662, loss: 0.8926
2022-11-04 13:29:46,030 - mmseg - INFO - Iter [34850/80000]	lr: 7.171e-05, eta: 4:08:59, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5721, decode.acc_seg: 78.2953, aux.loss_ce: 0.3360, aux.acc_seg: 70.4507, loss: 0.9082
2022-11-04 13:30:02,444 - mmseg - INFO - Iter [34900/80000]	lr: 7.164e-05, eta: 4:08:42, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5611, decode.acc_seg: 78.7862, aux.loss_ce: 0.3345, aux.acc_seg: 70.6219, loss: 0.8956
2022-11-04 13:30:18,790 - mmseg - INFO - Iter [34950/80000]	lr: 7.157e-05, eta: 4:08:25, time: 0.327, data_time: 0.008, memory: 9985, decode.loss_ce: 0.5819, decode.acc_seg: 78.0851, aux.loss_ce: 0.3518, aux.acc_seg: 69.5310, loss: 0.9337
2022-11-04 13:30:35,031 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 13:30:35,031 - mmseg - INFO - Iter [35000/80000]	lr: 7.150e-05, eta: 4:08:08, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5660, decode.acc_seg: 78.2668, aux.loss_ce: 0.3276, aux.acc_seg: 71.2471, loss: 0.8936
2022-11-04 13:30:51,120 - mmseg - INFO - Iter [35050/80000]	lr: 7.143e-05, eta: 4:07:51, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5817, decode.acc_seg: 77.8834, aux.loss_ce: 0.3480, aux.acc_seg: 69.5396, loss: 0.9297
2022-11-04 13:31:07,566 - mmseg - INFO - Iter [35100/80000]	lr: 7.136e-05, eta: 4:07:35, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5662, decode.acc_seg: 78.5078, aux.loss_ce: 0.3450, aux.acc_seg: 69.6933, loss: 0.9112
2022-11-04 13:31:23,790 - mmseg - INFO - Iter [35150/80000]	lr: 7.128e-05, eta: 4:07:18, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5827, decode.acc_seg: 78.3412, aux.loss_ce: 0.3446, aux.acc_seg: 70.6518, loss: 0.9273
2022-11-04 13:31:39,746 - mmseg - INFO - Iter [35200/80000]	lr: 7.121e-05, eta: 4:07:00, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5806, decode.acc_seg: 77.9582, aux.loss_ce: 0.3426, aux.acc_seg: 69.9162, loss: 0.9232
2022-11-04 13:31:55,733 - mmseg - INFO - Iter [35250/80000]	lr: 7.114e-05, eta: 4:06:43, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5759, decode.acc_seg: 78.1955, aux.loss_ce: 0.3468, aux.acc_seg: 69.9152, loss: 0.9227
2022-11-04 13:32:12,034 - mmseg - INFO - Iter [35300/80000]	lr: 7.107e-05, eta: 4:06:26, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5811, decode.acc_seg: 78.0368, aux.loss_ce: 0.3468, aux.acc_seg: 69.7447, loss: 0.9280
2022-11-04 13:32:31,471 - mmseg - INFO - Iter [35350/80000]	lr: 7.100e-05, eta: 4:06:13, time: 0.389, data_time: 0.062, memory: 9985, decode.loss_ce: 0.5790, decode.acc_seg: 77.8504, aux.loss_ce: 0.3479, aux.acc_seg: 69.3753, loss: 0.9269
2022-11-04 13:32:47,647 - mmseg - INFO - Iter [35400/80000]	lr: 7.093e-05, eta: 4:05:56, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5866, decode.acc_seg: 77.8914, aux.loss_ce: 0.3454, aux.acc_seg: 70.0347, loss: 0.9320
2022-11-04 13:33:03,577 - mmseg - INFO - Iter [35450/80000]	lr: 7.086e-05, eta: 4:05:39, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5635, decode.acc_seg: 78.6592, aux.loss_ce: 0.3421, aux.acc_seg: 70.1500, loss: 0.9055
2022-11-04 13:33:19,678 - mmseg - INFO - Iter [35500/80000]	lr: 7.078e-05, eta: 4:05:22, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5749, decode.acc_seg: 78.5540, aux.loss_ce: 0.3421, aux.acc_seg: 70.4189, loss: 0.9170
2022-11-04 13:33:35,920 - mmseg - INFO - Iter [35550/80000]	lr: 7.071e-05, eta: 4:05:05, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5666, decode.acc_seg: 78.5163, aux.loss_ce: 0.3317, aux.acc_seg: 71.1541, loss: 0.8983
2022-11-04 13:33:52,180 - mmseg - INFO - Iter [35600/80000]	lr: 7.064e-05, eta: 4:04:48, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5672, decode.acc_seg: 78.5772, aux.loss_ce: 0.3348, aux.acc_seg: 70.8563, loss: 0.9020
2022-11-04 13:34:08,367 - mmseg - INFO - Iter [35650/80000]	lr: 7.057e-05, eta: 4:04:31, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5688, decode.acc_seg: 78.6617, aux.loss_ce: 0.3431, aux.acc_seg: 70.1348, loss: 0.9120
2022-11-04 13:34:24,595 - mmseg - INFO - Iter [35700/80000]	lr: 7.050e-05, eta: 4:04:14, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5786, decode.acc_seg: 78.1778, aux.loss_ce: 0.3396, aux.acc_seg: 70.0983, loss: 0.9182
2022-11-04 13:34:40,836 - mmseg - INFO - Iter [35750/80000]	lr: 7.043e-05, eta: 4:03:57, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5827, decode.acc_seg: 77.9406, aux.loss_ce: 0.3482, aux.acc_seg: 69.7554, loss: 0.9309
2022-11-04 13:34:56,966 - mmseg - INFO - Iter [35800/80000]	lr: 7.035e-05, eta: 4:03:40, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5859, decode.acc_seg: 78.2230, aux.loss_ce: 0.3499, aux.acc_seg: 69.9301, loss: 0.9358
2022-11-04 13:35:13,116 - mmseg - INFO - Iter [35850/80000]	lr: 7.028e-05, eta: 4:03:23, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5665, decode.acc_seg: 78.4332, aux.loss_ce: 0.3409, aux.acc_seg: 69.6706, loss: 0.9074
2022-11-04 13:35:29,302 - mmseg - INFO - Iter [35900/80000]	lr: 7.021e-05, eta: 4:03:06, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5639, decode.acc_seg: 78.7922, aux.loss_ce: 0.3363, aux.acc_seg: 70.7885, loss: 0.9003
2022-11-04 13:35:45,507 - mmseg - INFO - Iter [35950/80000]	lr: 7.014e-05, eta: 4:02:49, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5963, decode.acc_seg: 77.4066, aux.loss_ce: 0.3510, aux.acc_seg: 69.3073, loss: 0.9473
2022-11-04 13:36:04,640 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 13:36:04,640 - mmseg - INFO - Iter [36000/80000]	lr: 7.007e-05, eta: 4:02:36, time: 0.383, data_time: 0.062, memory: 9985, decode.loss_ce: 0.5439, decode.acc_seg: 78.8435, aux.loss_ce: 0.3244, aux.acc_seg: 71.1658, loss: 0.8684
2022-11-04 13:36:20,908 - mmseg - INFO - Iter [36050/80000]	lr: 7.000e-05, eta: 4:02:19, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5670, decode.acc_seg: 78.3188, aux.loss_ce: 0.3475, aux.acc_seg: 69.7083, loss: 0.9145
2022-11-04 13:36:37,032 - mmseg - INFO - Iter [36100/80000]	lr: 6.992e-05, eta: 4:02:02, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5648, decode.acc_seg: 78.2574, aux.loss_ce: 0.3354, aux.acc_seg: 70.2477, loss: 0.9002
2022-11-04 13:36:53,047 - mmseg - INFO - Iter [36150/80000]	lr: 6.985e-05, eta: 4:01:45, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.6012, decode.acc_seg: 77.2287, aux.loss_ce: 0.3501, aux.acc_seg: 69.8083, loss: 0.9513
2022-11-04 13:37:09,218 - mmseg - INFO - Iter [36200/80000]	lr: 6.978e-05, eta: 4:01:28, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5693, decode.acc_seg: 78.1033, aux.loss_ce: 0.3432, aux.acc_seg: 69.9103, loss: 0.9125
2022-11-04 13:37:25,359 - mmseg - INFO - Iter [36250/80000]	lr: 6.971e-05, eta: 4:01:11, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5544, decode.acc_seg: 79.1456, aux.loss_ce: 0.3283, aux.acc_seg: 71.6230, loss: 0.8827
2022-11-04 13:37:41,619 - mmseg - INFO - Iter [36300/80000]	lr: 6.964e-05, eta: 4:00:54, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.6059, decode.acc_seg: 77.1711, aux.loss_ce: 0.3561, aux.acc_seg: 69.2945, loss: 0.9620
2022-11-04 13:37:58,061 - mmseg - INFO - Iter [36350/80000]	lr: 6.957e-05, eta: 4:00:37, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5806, decode.acc_seg: 78.0149, aux.loss_ce: 0.3324, aux.acc_seg: 71.0463, loss: 0.9129
2022-11-04 13:38:14,081 - mmseg - INFO - Iter [36400/80000]	lr: 6.949e-05, eta: 4:00:20, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5902, decode.acc_seg: 77.3611, aux.loss_ce: 0.3502, aux.acc_seg: 69.1949, loss: 0.9405
2022-11-04 13:38:30,167 - mmseg - INFO - Iter [36450/80000]	lr: 6.942e-05, eta: 4:00:03, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5757, decode.acc_seg: 78.2218, aux.loss_ce: 0.3399, aux.acc_seg: 70.4695, loss: 0.9155
2022-11-04 13:38:46,476 - mmseg - INFO - Iter [36500/80000]	lr: 6.935e-05, eta: 3:59:46, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5724, decode.acc_seg: 78.2939, aux.loss_ce: 0.3410, aux.acc_seg: 70.1118, loss: 0.9134
2022-11-04 13:39:02,634 - mmseg - INFO - Iter [36550/80000]	lr: 6.928e-05, eta: 3:59:29, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5834, decode.acc_seg: 78.0102, aux.loss_ce: 0.3409, aux.acc_seg: 70.4584, loss: 0.9243
2022-11-04 13:39:21,895 - mmseg - INFO - Iter [36600/80000]	lr: 6.921e-05, eta: 3:59:16, time: 0.385, data_time: 0.076, memory: 9985, decode.loss_ce: 0.5723, decode.acc_seg: 78.5483, aux.loss_ce: 0.3432, aux.acc_seg: 70.4761, loss: 0.9156
2022-11-04 13:39:37,921 - mmseg - INFO - Iter [36650/80000]	lr: 6.914e-05, eta: 3:58:59, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5568, decode.acc_seg: 78.9516, aux.loss_ce: 0.3348, aux.acc_seg: 70.9600, loss: 0.8916
2022-11-04 13:39:54,156 - mmseg - INFO - Iter [36700/80000]	lr: 6.906e-05, eta: 3:58:42, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5684, decode.acc_seg: 78.2838, aux.loss_ce: 0.3365, aux.acc_seg: 70.6555, loss: 0.9049
2022-11-04 13:40:10,229 - mmseg - INFO - Iter [36750/80000]	lr: 6.899e-05, eta: 3:58:25, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5805, decode.acc_seg: 78.3172, aux.loss_ce: 0.3461, aux.acc_seg: 70.2260, loss: 0.9266
2022-11-04 13:40:26,307 - mmseg - INFO - Iter [36800/80000]	lr: 6.892e-05, eta: 3:58:08, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5689, decode.acc_seg: 78.4933, aux.loss_ce: 0.3405, aux.acc_seg: 69.9571, loss: 0.9094
2022-11-04 13:40:42,311 - mmseg - INFO - Iter [36850/80000]	lr: 6.885e-05, eta: 3:57:51, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5680, decode.acc_seg: 78.1884, aux.loss_ce: 0.3298, aux.acc_seg: 70.7788, loss: 0.8978
2022-11-04 13:40:58,422 - mmseg - INFO - Iter [36900/80000]	lr: 6.878e-05, eta: 3:57:34, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5668, decode.acc_seg: 78.6308, aux.loss_ce: 0.3414, aux.acc_seg: 70.0224, loss: 0.9082
2022-11-04 13:41:14,696 - mmseg - INFO - Iter [36950/80000]	lr: 6.870e-05, eta: 3:57:17, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5726, decode.acc_seg: 78.3100, aux.loss_ce: 0.3371, aux.acc_seg: 70.6187, loss: 0.9097
2022-11-04 13:41:30,726 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 13:41:30,726 - mmseg - INFO - Iter [37000/80000]	lr: 6.863e-05, eta: 3:57:00, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5790, decode.acc_seg: 78.0530, aux.loss_ce: 0.3465, aux.acc_seg: 69.8290, loss: 0.9255
2022-11-04 13:41:46,785 - mmseg - INFO - Iter [37050/80000]	lr: 6.856e-05, eta: 3:56:43, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5526, decode.acc_seg: 78.8810, aux.loss_ce: 0.3298, aux.acc_seg: 71.2795, loss: 0.8824
2022-11-04 13:42:02,975 - mmseg - INFO - Iter [37100/80000]	lr: 6.849e-05, eta: 3:56:26, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5611, decode.acc_seg: 78.6090, aux.loss_ce: 0.3331, aux.acc_seg: 70.8051, loss: 0.8943
2022-11-04 13:42:19,208 - mmseg - INFO - Iter [37150/80000]	lr: 6.842e-05, eta: 3:56:09, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5916, decode.acc_seg: 77.4875, aux.loss_ce: 0.3462, aux.acc_seg: 69.5371, loss: 0.9378
2022-11-04 13:42:35,528 - mmseg - INFO - Iter [37200/80000]	lr: 6.835e-05, eta: 3:55:52, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5524, decode.acc_seg: 79.1032, aux.loss_ce: 0.3362, aux.acc_seg: 70.7166, loss: 0.8886
2022-11-04 13:42:54,650 - mmseg - INFO - Iter [37250/80000]	lr: 6.827e-05, eta: 3:55:38, time: 0.382, data_time: 0.066, memory: 9985, decode.loss_ce: 0.5690, decode.acc_seg: 78.4567, aux.loss_ce: 0.3321, aux.acc_seg: 70.8843, loss: 0.9011
2022-11-04 13:43:10,800 - mmseg - INFO - Iter [37300/80000]	lr: 6.820e-05, eta: 3:55:21, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5523, decode.acc_seg: 78.7316, aux.loss_ce: 0.3314, aux.acc_seg: 71.1566, loss: 0.8837
2022-11-04 13:43:26,786 - mmseg - INFO - Iter [37350/80000]	lr: 6.813e-05, eta: 3:55:04, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5759, decode.acc_seg: 77.8493, aux.loss_ce: 0.3420, aux.acc_seg: 69.6766, loss: 0.9179
2022-11-04 13:43:42,999 - mmseg - INFO - Iter [37400/80000]	lr: 6.806e-05, eta: 3:54:47, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5678, decode.acc_seg: 78.1386, aux.loss_ce: 0.3418, aux.acc_seg: 69.9809, loss: 0.9096
2022-11-04 13:43:59,132 - mmseg - INFO - Iter [37450/80000]	lr: 6.799e-05, eta: 3:54:30, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5590, decode.acc_seg: 78.5381, aux.loss_ce: 0.3348, aux.acc_seg: 70.4273, loss: 0.8939
2022-11-04 13:44:15,343 - mmseg - INFO - Iter [37500/80000]	lr: 6.791e-05, eta: 3:54:14, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5719, decode.acc_seg: 77.9421, aux.loss_ce: 0.3369, aux.acc_seg: 70.2293, loss: 0.9088
2022-11-04 13:44:31,636 - mmseg - INFO - Iter [37550/80000]	lr: 6.784e-05, eta: 3:53:57, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5675, decode.acc_seg: 78.5165, aux.loss_ce: 0.3397, aux.acc_seg: 70.2326, loss: 0.9073
2022-11-04 13:44:47,948 - mmseg - INFO - Iter [37600/80000]	lr: 6.777e-05, eta: 3:53:40, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5627, decode.acc_seg: 78.1987, aux.loss_ce: 0.3409, aux.acc_seg: 69.7935, loss: 0.9037
2022-11-04 13:45:04,038 - mmseg - INFO - Iter [37650/80000]	lr: 6.770e-05, eta: 3:53:23, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5668, decode.acc_seg: 78.3295, aux.loss_ce: 0.3360, aux.acc_seg: 70.7307, loss: 0.9028
2022-11-04 13:45:20,096 - mmseg - INFO - Iter [37700/80000]	lr: 6.763e-05, eta: 3:53:06, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5556, decode.acc_seg: 78.3717, aux.loss_ce: 0.3307, aux.acc_seg: 70.5810, loss: 0.8863
2022-11-04 13:45:36,336 - mmseg - INFO - Iter [37750/80000]	lr: 6.755e-05, eta: 3:52:49, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5757, decode.acc_seg: 78.1274, aux.loss_ce: 0.3443, aux.acc_seg: 69.6538, loss: 0.9200
2022-11-04 13:45:52,657 - mmseg - INFO - Iter [37800/80000]	lr: 6.748e-05, eta: 3:52:32, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5935, decode.acc_seg: 77.7289, aux.loss_ce: 0.3538, aux.acc_seg: 69.8752, loss: 0.9474
2022-11-04 13:46:08,955 - mmseg - INFO - Iter [37850/80000]	lr: 6.741e-05, eta: 3:52:15, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5602, decode.acc_seg: 78.8590, aux.loss_ce: 0.3381, aux.acc_seg: 70.2873, loss: 0.8983
2022-11-04 13:46:28,186 - mmseg - INFO - Iter [37900/80000]	lr: 6.734e-05, eta: 3:52:02, time: 0.385, data_time: 0.062, memory: 9985, decode.loss_ce: 0.5690, decode.acc_seg: 78.1757, aux.loss_ce: 0.3437, aux.acc_seg: 69.2368, loss: 0.9127
2022-11-04 13:46:44,452 - mmseg - INFO - Iter [37950/80000]	lr: 6.727e-05, eta: 3:51:45, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5570, decode.acc_seg: 79.2839, aux.loss_ce: 0.3372, aux.acc_seg: 71.3055, loss: 0.8942
2022-11-04 13:47:00,699 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 13:47:00,700 - mmseg - INFO - Iter [38000/80000]	lr: 6.719e-05, eta: 3:51:28, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5645, decode.acc_seg: 78.6534, aux.loss_ce: 0.3323, aux.acc_seg: 71.0669, loss: 0.8968
2022-11-04 13:47:16,745 - mmseg - INFO - Iter [38050/80000]	lr: 6.712e-05, eta: 3:51:11, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5812, decode.acc_seg: 78.2232, aux.loss_ce: 0.3448, aux.acc_seg: 70.3648, loss: 0.9259
2022-11-04 13:47:32,953 - mmseg - INFO - Iter [38100/80000]	lr: 6.705e-05, eta: 3:50:54, time: 0.324, data_time: 0.008, memory: 9985, decode.loss_ce: 0.5633, decode.acc_seg: 78.6183, aux.loss_ce: 0.3354, aux.acc_seg: 70.6060, loss: 0.8986
2022-11-04 13:47:49,313 - mmseg - INFO - Iter [38150/80000]	lr: 6.698e-05, eta: 3:50:37, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5780, decode.acc_seg: 78.1747, aux.loss_ce: 0.3464, aux.acc_seg: 69.8786, loss: 0.9243
2022-11-04 13:48:05,578 - mmseg - INFO - Iter [38200/80000]	lr: 6.691e-05, eta: 3:50:21, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5807, decode.acc_seg: 78.0195, aux.loss_ce: 0.3492, aux.acc_seg: 69.4490, loss: 0.9299
2022-11-04 13:48:21,715 - mmseg - INFO - Iter [38250/80000]	lr: 6.683e-05, eta: 3:50:04, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5595, decode.acc_seg: 78.7822, aux.loss_ce: 0.3283, aux.acc_seg: 71.2790, loss: 0.8878
2022-11-04 13:48:37,972 - mmseg - INFO - Iter [38300/80000]	lr: 6.676e-05, eta: 3:49:47, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5823, decode.acc_seg: 78.1460, aux.loss_ce: 0.3450, aux.acc_seg: 70.0732, loss: 0.9273
2022-11-04 13:48:54,179 - mmseg - INFO - Iter [38350/80000]	lr: 6.669e-05, eta: 3:49:30, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5787, decode.acc_seg: 78.1882, aux.loss_ce: 0.3377, aux.acc_seg: 70.6169, loss: 0.9164
2022-11-04 13:49:10,445 - mmseg - INFO - Iter [38400/80000]	lr: 6.662e-05, eta: 3:49:13, time: 0.325, data_time: 0.011, memory: 9985, decode.loss_ce: 0.5714, decode.acc_seg: 78.2766, aux.loss_ce: 0.3385, aux.acc_seg: 69.8042, loss: 0.9099
2022-11-04 13:49:26,593 - mmseg - INFO - Iter [38450/80000]	lr: 6.655e-05, eta: 3:48:56, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5612, decode.acc_seg: 78.8334, aux.loss_ce: 0.3471, aux.acc_seg: 69.5600, loss: 0.9083
2022-11-04 13:49:45,610 - mmseg - INFO - Iter [38500/80000]	lr: 6.647e-05, eta: 3:48:42, time: 0.380, data_time: 0.063, memory: 9985, decode.loss_ce: 0.5455, decode.acc_seg: 79.2062, aux.loss_ce: 0.3285, aux.acc_seg: 70.9034, loss: 0.8739
2022-11-04 13:50:01,735 - mmseg - INFO - Iter [38550/80000]	lr: 6.640e-05, eta: 3:48:25, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5579, decode.acc_seg: 78.9963, aux.loss_ce: 0.3411, aux.acc_seg: 70.2312, loss: 0.8989
2022-11-04 13:50:17,780 - mmseg - INFO - Iter [38600/80000]	lr: 6.633e-05, eta: 3:48:08, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5454, decode.acc_seg: 79.3064, aux.loss_ce: 0.3342, aux.acc_seg: 70.4792, loss: 0.8795
2022-11-04 13:50:34,233 - mmseg - INFO - Iter [38650/80000]	lr: 6.626e-05, eta: 3:47:52, time: 0.329, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5623, decode.acc_seg: 78.8277, aux.loss_ce: 0.3374, aux.acc_seg: 71.0504, loss: 0.8996
2022-11-04 13:50:50,474 - mmseg - INFO - Iter [38700/80000]	lr: 6.619e-05, eta: 3:47:35, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5497, decode.acc_seg: 78.8912, aux.loss_ce: 0.3205, aux.acc_seg: 71.1511, loss: 0.8701
2022-11-04 13:51:06,841 - mmseg - INFO - Iter [38750/80000]	lr: 6.611e-05, eta: 3:47:18, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5492, decode.acc_seg: 78.9887, aux.loss_ce: 0.3291, aux.acc_seg: 70.8106, loss: 0.8784
2022-11-04 13:51:22,980 - mmseg - INFO - Iter [38800/80000]	lr: 6.604e-05, eta: 3:47:01, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5632, decode.acc_seg: 78.5729, aux.loss_ce: 0.3404, aux.acc_seg: 69.8183, loss: 0.9036
2022-11-04 13:51:38,950 - mmseg - INFO - Iter [38850/80000]	lr: 6.597e-05, eta: 3:46:44, time: 0.319, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5345, decode.acc_seg: 79.5688, aux.loss_ce: 0.3221, aux.acc_seg: 71.5201, loss: 0.8566
2022-11-04 13:51:55,047 - mmseg - INFO - Iter [38900/80000]	lr: 6.590e-05, eta: 3:46:27, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5705, decode.acc_seg: 78.2737, aux.loss_ce: 0.3415, aux.acc_seg: 69.9788, loss: 0.9120
2022-11-04 13:52:11,425 - mmseg - INFO - Iter [38950/80000]	lr: 6.583e-05, eta: 3:46:10, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5799, decode.acc_seg: 77.9343, aux.loss_ce: 0.3419, aux.acc_seg: 69.9773, loss: 0.9218
2022-11-04 13:52:27,580 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 13:52:27,581 - mmseg - INFO - Iter [39000/80000]	lr: 6.575e-05, eta: 3:45:53, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5759, decode.acc_seg: 78.1498, aux.loss_ce: 0.3384, aux.acc_seg: 70.3976, loss: 0.9143
2022-11-04 13:52:43,862 - mmseg - INFO - Iter [39050/80000]	lr: 6.568e-05, eta: 3:45:37, time: 0.326, data_time: 0.008, memory: 9985, decode.loss_ce: 0.5614, decode.acc_seg: 78.9845, aux.loss_ce: 0.3348, aux.acc_seg: 71.0979, loss: 0.8962
2022-11-04 13:53:00,040 - mmseg - INFO - Iter [39100/80000]	lr: 6.561e-05, eta: 3:45:20, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5529, decode.acc_seg: 78.8845, aux.loss_ce: 0.3335, aux.acc_seg: 70.7311, loss: 0.8865
2022-11-04 13:53:19,238 - mmseg - INFO - Iter [39150/80000]	lr: 6.554e-05, eta: 3:45:06, time: 0.384, data_time: 0.064, memory: 9985, decode.loss_ce: 0.5485, decode.acc_seg: 78.8452, aux.loss_ce: 0.3350, aux.acc_seg: 70.7328, loss: 0.8835
2022-11-04 13:53:35,474 - mmseg - INFO - Iter [39200/80000]	lr: 6.546e-05, eta: 3:44:49, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5495, decode.acc_seg: 78.8229, aux.loss_ce: 0.3281, aux.acc_seg: 70.8169, loss: 0.8776
2022-11-04 13:53:51,495 - mmseg - INFO - Iter [39250/80000]	lr: 6.539e-05, eta: 3:44:32, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5517, decode.acc_seg: 79.1010, aux.loss_ce: 0.3347, aux.acc_seg: 70.5411, loss: 0.8864
2022-11-04 13:54:07,488 - mmseg - INFO - Iter [39300/80000]	lr: 6.532e-05, eta: 3:44:15, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5407, decode.acc_seg: 79.4287, aux.loss_ce: 0.3285, aux.acc_seg: 71.2487, loss: 0.8692
2022-11-04 13:54:23,419 - mmseg - INFO - Iter [39350/80000]	lr: 6.525e-05, eta: 3:43:58, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5449, decode.acc_seg: 79.2988, aux.loss_ce: 0.3297, aux.acc_seg: 71.1880, loss: 0.8746
2022-11-04 13:54:39,468 - mmseg - INFO - Iter [39400/80000]	lr: 6.518e-05, eta: 3:43:41, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5438, decode.acc_seg: 79.1656, aux.loss_ce: 0.3296, aux.acc_seg: 71.2396, loss: 0.8734
2022-11-04 13:54:55,656 - mmseg - INFO - Iter [39450/80000]	lr: 6.510e-05, eta: 3:43:24, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5570, decode.acc_seg: 78.8204, aux.loss_ce: 0.3396, aux.acc_seg: 70.1585, loss: 0.8966
2022-11-04 13:55:11,879 - mmseg - INFO - Iter [39500/80000]	lr: 6.503e-05, eta: 3:43:07, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5589, decode.acc_seg: 78.7157, aux.loss_ce: 0.3377, aux.acc_seg: 70.4795, loss: 0.8966
2022-11-04 13:55:28,096 - mmseg - INFO - Iter [39550/80000]	lr: 6.496e-05, eta: 3:42:50, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5592, decode.acc_seg: 78.8313, aux.loss_ce: 0.3347, aux.acc_seg: 70.6240, loss: 0.8939
2022-11-04 13:55:44,190 - mmseg - INFO - Iter [39600/80000]	lr: 6.489e-05, eta: 3:42:33, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5305, decode.acc_seg: 79.6645, aux.loss_ce: 0.3215, aux.acc_seg: 71.5085, loss: 0.8520
2022-11-04 13:56:00,334 - mmseg - INFO - Iter [39650/80000]	lr: 6.481e-05, eta: 3:42:16, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5798, decode.acc_seg: 77.9190, aux.loss_ce: 0.3444, aux.acc_seg: 69.5183, loss: 0.9242
2022-11-04 13:56:16,578 - mmseg - INFO - Iter [39700/80000]	lr: 6.474e-05, eta: 3:42:00, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5876, decode.acc_seg: 77.6954, aux.loss_ce: 0.3533, aux.acc_seg: 69.4767, loss: 0.9409
2022-11-04 13:56:32,379 - mmseg - INFO - Iter [39750/80000]	lr: 6.467e-05, eta: 3:41:42, time: 0.316, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5608, decode.acc_seg: 78.7288, aux.loss_ce: 0.3324, aux.acc_seg: 70.8869, loss: 0.8933
2022-11-04 13:56:51,486 - mmseg - INFO - Iter [39800/80000]	lr: 6.460e-05, eta: 3:41:28, time: 0.382, data_time: 0.065, memory: 9985, decode.loss_ce: 0.5597, decode.acc_seg: 78.7155, aux.loss_ce: 0.3418, aux.acc_seg: 70.4628, loss: 0.9016
2022-11-04 13:57:07,956 - mmseg - INFO - Iter [39850/80000]	lr: 6.452e-05, eta: 3:41:12, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5512, decode.acc_seg: 78.8250, aux.loss_ce: 0.3337, aux.acc_seg: 70.9303, loss: 0.8848
2022-11-04 13:57:24,391 - mmseg - INFO - Iter [39900/80000]	lr: 6.445e-05, eta: 3:40:55, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5539, decode.acc_seg: 78.8903, aux.loss_ce: 0.3330, aux.acc_seg: 70.7252, loss: 0.8868
2022-11-04 13:57:40,793 - mmseg - INFO - Iter [39950/80000]	lr: 6.438e-05, eta: 3:40:39, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5447, decode.acc_seg: 79.4379, aux.loss_ce: 0.3288, aux.acc_seg: 71.1073, loss: 0.8734
2022-11-04 13:57:57,134 - mmseg - INFO - Saving checkpoint at 40000 iterations
2022-11-04 13:57:57,370 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 13:57:57,371 - mmseg - INFO - Iter [40000/80000]	lr: 6.431e-05, eta: 3:40:22, time: 0.332, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5676, decode.acc_seg: 78.3808, aux.loss_ce: 0.3404, aux.acc_seg: 69.8281, loss: 0.9080
2022-11-04 13:58:05,957 - mmseg - INFO - per class results:
2022-11-04 13:58:05,964 - mmseg - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 64.83 |  84.7 |
|       building      | 75.17 | 88.12 |
|         sky         | 90.49 | 95.16 |
|        floor        | 68.58 | 85.45 |
|         tree        | 65.32 | 83.93 |
|       ceiling       | 75.35 | 86.22 |
|         road        | 75.22 | 83.49 |
|         bed         | 73.27 | 88.31 |
|      windowpane     | 48.24 | 64.16 |
|        grass        | 64.86 | 79.93 |
|       cabinet       | 45.93 | 58.24 |
|       sidewalk      | 51.21 | 72.79 |
|        person       | 63.21 | 80.25 |
|        earth        |  28.5 | 41.22 |
|         door        | 23.66 | 31.87 |
|        table        | 36.21 | 51.01 |
|       mountain      | 51.28 | 68.12 |
|        plant        | 39.13 | 50.67 |
|       curtain       | 52.82 | 69.66 |
|        chair        |  33.5 | 46.34 |
|         car         | 69.63 | 81.42 |
|        water        | 44.52 |  59.6 |
|       painting      | 52.55 | 64.97 |
|         sofa        | 47.13 | 66.29 |
|        shelf        | 29.99 | 43.14 |
|        house        |  40.9 | 59.25 |
|         sea         | 43.84 | 70.51 |
|        mirror       | 34.97 | 39.18 |
|         rug         | 33.27 | 38.53 |
|        field        | 31.71 | 45.15 |
|       armchair      | 24.65 | 38.47 |
|         seat        | 52.39 | 71.91 |
|        fence        | 16.36 | 18.81 |
|         desk        | 32.32 | 55.67 |
|         rock        | 32.71 | 55.54 |
|       wardrobe      | 40.92 | 62.42 |
|         lamp        | 33.21 | 44.09 |
|       bathtub       | 47.23 | 58.58 |
|       railing       | 25.55 | 38.74 |
|       cushion       | 28.38 |  38.2 |
|         base        |  21.1 | 31.56 |
|         box         |  7.86 |  9.7  |
|        column       | 26.57 | 32.75 |
|      signboard      | 22.17 | 29.96 |
|   chest of drawers  | 32.19 | 45.62 |
|       counter       | 29.97 | 32.82 |
|         sand        | 22.22 | 41.29 |
|         sink        | 40.22 |  56.8 |
|      skyscraper     | 56.92 | 72.77 |
|      fireplace      | 47.21 | 69.87 |
|     refrigerator    | 45.77 | 58.12 |
|      grandstand     | 38.34 | 64.14 |
|         path        | 20.99 |  31.7 |
|        stairs       | 23.37 | 29.92 |
|        runway       | 75.65 | 95.12 |
|         case        | 38.81 | 64.68 |
|      pool table     | 79.14 |  85.2 |
|        pillow       | 29.23 | 35.12 |
|     screen door     | 43.55 | 54.15 |
|       stairway      | 21.85 | 32.09 |
|        river        | 11.17 | 21.94 |
|        bridge       | 26.25 |  35.6 |
|       bookcase      |  21.3 | 34.36 |
|        blind        | 15.81 | 18.91 |
|     coffee table    | 36.25 | 64.95 |
|        toilet       | 57.26 | 75.38 |
|        flower       | 17.23 | 27.96 |
|         book        | 36.86 | 52.17 |
|         hill        |  3.14 |  6.33 |
|        bench        | 30.89 | 41.26 |
|      countertop     |  37.2 | 50.61 |
|        stove        | 46.41 | 60.99 |
|         palm        | 34.82 | 42.79 |
|    kitchen island   | 17.72 | 52.18 |
|       computer      |  42.0 | 60.14 |
|     swivel chair    | 27.74 |  44.3 |
|         boat        | 25.77 | 42.13 |
|         bar         | 11.87 | 13.54 |
|    arcade machine   | 22.26 | 24.65 |
|        hovel        | 33.67 |  66.5 |
|         bus         | 65.97 | 78.13 |
|        towel        | 31.41 | 41.09 |
|        light        | 11.88 | 12.68 |
|        truck        |  15.3 | 18.33 |
|        tower        | 50.03 | 67.57 |
|      chandelier     | 45.07 | 57.03 |
|        awning       | 14.24 | 16.77 |
|     streetlight     |  3.71 |  3.97 |
|        booth        | 28.25 | 34.83 |
| television receiver | 50.59 | 56.32 |
|       airplane      | 40.46 | 50.66 |
|      dirt track     | 10.84 |  18.4 |
|       apparel       | 13.57 | 17.43 |
|         pole        |  3.91 |  4.64 |
|         land        |  5.64 |  8.67 |
|      bannister      |  0.89 |  1.15 |
|      escalator      | 22.25 | 26.57 |
|       ottoman       | 13.38 | 15.17 |
|        bottle       |  2.95 |  3.07 |
|        buffet       | 33.26 | 39.96 |
|        poster       |  7.04 |  7.89 |
|        stage        |  6.81 |  7.81 |
|         van         | 12.94 | 15.33 |
|         ship        | 40.87 | 61.25 |
|       fountain      |  12.8 | 13.38 |
|    conveyer belt    | 66.55 |  84.6 |
|        canopy       | 13.49 | 18.66 |
|        washer       | 49.63 | 54.35 |
|      plaything      |  1.47 |  1.97 |
|    swimming pool    | 36.22 | 53.07 |
|        stool        |  4.76 |  5.95 |
|        barrel       | 14.06 | 17.56 |
|        basket       |  8.0  |  8.99 |
|      waterfall      | 43.14 | 53.46 |
|         tent        | 81.55 | 98.53 |
|         bag         |  0.85 |  0.87 |
|       minibike      | 48.51 | 59.73 |
|        cradle       | 55.78 | 78.35 |
|         oven        | 19.39 | 24.56 |
|         ball        | 14.22 | 17.37 |
|         food        | 39.63 | 50.75 |
|         step        |  4.79 |  5.35 |
|         tank        |  25.1 | 29.51 |
|      trade name     | 17.85 | 19.98 |
|      microwave      | 22.02 | 25.15 |
|         pot         | 19.95 | 23.05 |
|        animal       | 39.32 | 42.78 |
|       bicycle       |  34.0 |  43.9 |
|         lake        |  9.51 | 10.43 |
|      dishwasher     | 26.99 | 34.16 |
|        screen       | 52.63 | 62.83 |
|       blanket       |  0.12 |  0.12 |
|      sculpture      | 24.54 | 31.46 |
|         hood        | 28.15 | 36.24 |
|        sconce       |  5.04 |  5.15 |
|         vase        | 11.57 | 13.98 |
|    traffic light    | 10.17 | 11.92 |
|         tray        |  2.05 |  2.9  |
|        ashcan       | 11.87 | 14.17 |
|         fan         | 22.35 |  26.0 |
|         pier        |  38.9 | 49.82 |
|      crt screen     |  0.0  |  0.0  |
|        plate        | 26.03 | 32.67 |
|       monitor       |  0.5  |  0.51 |
|    bulletin board   | 25.83 | 26.94 |
|        shower       |  0.0  |  0.0  |
|       radiator      |  27.4 | 29.52 |
|        glass        |  0.91 |  0.92 |
|        clock        |  2.85 |  3.83 |
|         flag        | 12.13 | 12.73 |
+---------------------+-------+-------+
2022-11-04 13:58:05,964 - mmseg - INFO - Summary:
2022-11-04 13:58:05,965 - mmseg - INFO - 
+-------+-------+-------+
|  aAcc |  mIoU |  mAcc |
+-------+-------+-------+
| 74.29 | 31.41 | 41.15 |
+-------+-------+-------+
2022-11-04 13:58:05,966 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 13:58:05,966 - mmseg - INFO - Iter(val) [250]	aAcc: 0.7429, mIoU: 0.3141, mAcc: 0.4115, IoU.wall: 0.6483, IoU.building: 0.7517, IoU.sky: 0.9049, IoU.floor: 0.6858, IoU.tree: 0.6532, IoU.ceiling: 0.7535, IoU.road: 0.7522, IoU.bed : 0.7327, IoU.windowpane: 0.4824, IoU.grass: 0.6486, IoU.cabinet: 0.4593, IoU.sidewalk: 0.5121, IoU.person: 0.6321, IoU.earth: 0.2850, IoU.door: 0.2366, IoU.table: 0.3621, IoU.mountain: 0.5128, IoU.plant: 0.3913, IoU.curtain: 0.5282, IoU.chair: 0.3350, IoU.car: 0.6963, IoU.water: 0.4452, IoU.painting: 0.5255, IoU.sofa: 0.4713, IoU.shelf: 0.2999, IoU.house: 0.4090, IoU.sea: 0.4384, IoU.mirror: 0.3497, IoU.rug: 0.3327, IoU.field: 0.3171, IoU.armchair: 0.2465, IoU.seat: 0.5239, IoU.fence: 0.1636, IoU.desk: 0.3232, IoU.rock: 0.3271, IoU.wardrobe: 0.4092, IoU.lamp: 0.3321, IoU.bathtub: 0.4723, IoU.railing: 0.2555, IoU.cushion: 0.2838, IoU.base: 0.2110, IoU.box: 0.0786, IoU.column: 0.2657, IoU.signboard: 0.2217, IoU.chest of drawers: 0.3219, IoU.counter: 0.2997, IoU.sand: 0.2222, IoU.sink: 0.4022, IoU.skyscraper: 0.5692, IoU.fireplace: 0.4721, IoU.refrigerator: 0.4577, IoU.grandstand: 0.3834, IoU.path: 0.2099, IoU.stairs: 0.2337, IoU.runway: 0.7565, IoU.case: 0.3881, IoU.pool table: 0.7914, IoU.pillow: 0.2923, IoU.screen door: 0.4355, IoU.stairway: 0.2185, IoU.river: 0.1117, IoU.bridge: 0.2625, IoU.bookcase: 0.2130, IoU.blind: 0.1581, IoU.coffee table: 0.3625, IoU.toilet: 0.5726, IoU.flower: 0.1723, IoU.book: 0.3686, IoU.hill: 0.0314, IoU.bench: 0.3089, IoU.countertop: 0.3720, IoU.stove: 0.4641, IoU.palm: 0.3482, IoU.kitchen island: 0.1772, IoU.computer: 0.4200, IoU.swivel chair: 0.2774, IoU.boat: 0.2577, IoU.bar: 0.1187, IoU.arcade machine: 0.2226, IoU.hovel: 0.3367, IoU.bus: 0.6597, IoU.towel: 0.3141, IoU.light: 0.1188, IoU.truck: 0.1530, IoU.tower: 0.5003, IoU.chandelier: 0.4507, IoU.awning: 0.1424, IoU.streetlight: 0.0371, IoU.booth: 0.2825, IoU.television receiver: 0.5059, IoU.airplane: 0.4046, IoU.dirt track: 0.1084, IoU.apparel: 0.1357, IoU.pole: 0.0391, IoU.land: 0.0564, IoU.bannister: 0.0089, IoU.escalator: 0.2225, IoU.ottoman: 0.1338, IoU.bottle: 0.0295, IoU.buffet: 0.3326, IoU.poster: 0.0704, IoU.stage: 0.0681, IoU.van: 0.1294, IoU.ship: 0.4087, IoU.fountain: 0.1280, IoU.conveyer belt: 0.6655, IoU.canopy: 0.1349, IoU.washer: 0.4963, IoU.plaything: 0.0147, IoU.swimming pool: 0.3622, IoU.stool: 0.0476, IoU.barrel: 0.1406, IoU.basket: 0.0800, IoU.waterfall: 0.4314, IoU.tent: 0.8155, IoU.bag: 0.0085, IoU.minibike: 0.4851, IoU.cradle: 0.5578, IoU.oven: 0.1939, IoU.ball: 0.1422, IoU.food: 0.3963, IoU.step: 0.0479, IoU.tank: 0.2510, IoU.trade name: 0.1785, IoU.microwave: 0.2202, IoU.pot: 0.1995, IoU.animal: 0.3932, IoU.bicycle: 0.3400, IoU.lake: 0.0951, IoU.dishwasher: 0.2699, IoU.screen: 0.5263, IoU.blanket: 0.0012, IoU.sculpture: 0.2454, IoU.hood: 0.2815, IoU.sconce: 0.0504, IoU.vase: 0.1157, IoU.traffic light: 0.1017, IoU.tray: 0.0205, IoU.ashcan: 0.1187, IoU.fan: 0.2235, IoU.pier: 0.3890, IoU.crt screen: 0.0000, IoU.plate: 0.2603, IoU.monitor: 0.0050, IoU.bulletin board: 0.2583, IoU.shower: 0.0000, IoU.radiator: 0.2740, IoU.glass: 0.0091, IoU.clock: 0.0285, IoU.flag: 0.1213, Acc.wall: 0.8470, Acc.building: 0.8812, Acc.sky: 0.9516, Acc.floor: 0.8545, Acc.tree: 0.8393, Acc.ceiling: 0.8622, Acc.road: 0.8349, Acc.bed : 0.8831, Acc.windowpane: 0.6416, Acc.grass: 0.7993, Acc.cabinet: 0.5824, Acc.sidewalk: 0.7279, Acc.person: 0.8025, Acc.earth: 0.4122, Acc.door: 0.3187, Acc.table: 0.5101, Acc.mountain: 0.6812, Acc.plant: 0.5067, Acc.curtain: 0.6966, Acc.chair: 0.4634, Acc.car: 0.8142, Acc.water: 0.5960, Acc.painting: 0.6497, Acc.sofa: 0.6629, Acc.shelf: 0.4314, Acc.house: 0.5925, Acc.sea: 0.7051, Acc.mirror: 0.3918, Acc.rug: 0.3853, Acc.field: 0.4515, Acc.armchair: 0.3847, Acc.seat: 0.7191, Acc.fence: 0.1881, Acc.desk: 0.5567, Acc.rock: 0.5554, Acc.wardrobe: 0.6242, Acc.lamp: 0.4409, Acc.bathtub: 0.5858, Acc.railing: 0.3874, Acc.cushion: 0.3820, Acc.base: 0.3156, Acc.box: 0.0970, Acc.column: 0.3275, Acc.signboard: 0.2996, Acc.chest of drawers: 0.4562, Acc.counter: 0.3282, Acc.sand: 0.4129, Acc.sink: 0.5680, Acc.skyscraper: 0.7277, Acc.fireplace: 0.6987, Acc.refrigerator: 0.5812, Acc.grandstand: 0.6414, Acc.path: 0.3170, Acc.stairs: 0.2992, Acc.runway: 0.9512, Acc.case: 0.6468, Acc.pool table: 0.8520, Acc.pillow: 0.3512, Acc.screen door: 0.5415, Acc.stairway: 0.3209, Acc.river: 0.2194, Acc.bridge: 0.3560, Acc.bookcase: 0.3436, Acc.blind: 0.1891, Acc.coffee table: 0.6495, Acc.toilet: 0.7538, Acc.flower: 0.2796, Acc.book: 0.5217, Acc.hill: 0.0633, Acc.bench: 0.4126, Acc.countertop: 0.5061, Acc.stove: 0.6099, Acc.palm: 0.4279, Acc.kitchen island: 0.5218, Acc.computer: 0.6014, Acc.swivel chair: 0.4430, Acc.boat: 0.4213, Acc.bar: 0.1354, Acc.arcade machine: 0.2465, Acc.hovel: 0.6650, Acc.bus: 0.7813, Acc.towel: 0.4109, Acc.light: 0.1268, Acc.truck: 0.1833, Acc.tower: 0.6757, Acc.chandelier: 0.5703, Acc.awning: 0.1677, Acc.streetlight: 0.0397, Acc.booth: 0.3483, Acc.television receiver: 0.5632, Acc.airplane: 0.5066, Acc.dirt track: 0.1840, Acc.apparel: 0.1743, Acc.pole: 0.0464, Acc.land: 0.0867, Acc.bannister: 0.0115, Acc.escalator: 0.2657, Acc.ottoman: 0.1517, Acc.bottle: 0.0307, Acc.buffet: 0.3996, Acc.poster: 0.0789, Acc.stage: 0.0781, Acc.van: 0.1533, Acc.ship: 0.6125, Acc.fountain: 0.1338, Acc.conveyer belt: 0.8460, Acc.canopy: 0.1866, Acc.washer: 0.5435, Acc.plaything: 0.0197, Acc.swimming pool: 0.5307, Acc.stool: 0.0595, Acc.barrel: 0.1756, Acc.basket: 0.0899, Acc.waterfall: 0.5346, Acc.tent: 0.9853, Acc.bag: 0.0087, Acc.minibike: 0.5973, Acc.cradle: 0.7835, Acc.oven: 0.2456, Acc.ball: 0.1737, Acc.food: 0.5075, Acc.step: 0.0535, Acc.tank: 0.2951, Acc.trade name: 0.1998, Acc.microwave: 0.2515, Acc.pot: 0.2305, Acc.animal: 0.4278, Acc.bicycle: 0.4390, Acc.lake: 0.1043, Acc.dishwasher: 0.3416, Acc.screen: 0.6283, Acc.blanket: 0.0012, Acc.sculpture: 0.3146, Acc.hood: 0.3624, Acc.sconce: 0.0515, Acc.vase: 0.1398, Acc.traffic light: 0.1192, Acc.tray: 0.0290, Acc.ashcan: 0.1417, Acc.fan: 0.2600, Acc.pier: 0.4982, Acc.crt screen: 0.0000, Acc.plate: 0.3267, Acc.monitor: 0.0051, Acc.bulletin board: 0.2694, Acc.shower: 0.0000, Acc.radiator: 0.2952, Acc.glass: 0.0092, Acc.clock: 0.0383, Acc.flag: 0.1273
2022-11-04 13:58:22,168 - mmseg - INFO - Iter [40050/80000]	lr: 6.424e-05, eta: 3:40:14, time: 0.496, data_time: 0.182, memory: 9985, decode.loss_ce: 0.5575, decode.acc_seg: 78.6702, aux.loss_ce: 0.3358, aux.acc_seg: 70.5889, loss: 0.8933
2022-11-04 13:58:38,312 - mmseg - INFO - Iter [40100/80000]	lr: 6.416e-05, eta: 3:39:57, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5585, decode.acc_seg: 78.6953, aux.loss_ce: 0.3397, aux.acc_seg: 70.2245, loss: 0.8983
2022-11-04 13:58:54,464 - mmseg - INFO - Iter [40150/80000]	lr: 6.409e-05, eta: 3:39:40, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5755, decode.acc_seg: 78.2977, aux.loss_ce: 0.3402, aux.acc_seg: 70.1565, loss: 0.9158
2022-11-04 13:59:10,686 - mmseg - INFO - Iter [40200/80000]	lr: 6.402e-05, eta: 3:39:23, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5450, decode.acc_seg: 79.2859, aux.loss_ce: 0.3355, aux.acc_seg: 70.5299, loss: 0.8805
2022-11-04 13:59:26,650 - mmseg - INFO - Iter [40250/80000]	lr: 6.395e-05, eta: 3:39:06, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5500, decode.acc_seg: 79.1830, aux.loss_ce: 0.3270, aux.acc_seg: 71.4817, loss: 0.8769
2022-11-04 13:59:43,218 - mmseg - INFO - Iter [40300/80000]	lr: 6.387e-05, eta: 3:38:50, time: 0.331, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5603, decode.acc_seg: 78.5797, aux.loss_ce: 0.3338, aux.acc_seg: 70.5831, loss: 0.8941
2022-11-04 13:59:59,332 - mmseg - INFO - Iter [40350/80000]	lr: 6.380e-05, eta: 3:38:33, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5750, decode.acc_seg: 78.1102, aux.loss_ce: 0.3439, aux.acc_seg: 69.7792, loss: 0.9189
2022-11-04 14:00:18,508 - mmseg - INFO - Iter [40400/80000]	lr: 6.373e-05, eta: 3:38:19, time: 0.383, data_time: 0.064, memory: 9985, decode.loss_ce: 0.5249, decode.acc_seg: 79.6850, aux.loss_ce: 0.3166, aux.acc_seg: 72.0227, loss: 0.8415
2022-11-04 14:00:34,595 - mmseg - INFO - Iter [40450/80000]	lr: 6.366e-05, eta: 3:38:02, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5417, decode.acc_seg: 79.4326, aux.loss_ce: 0.3308, aux.acc_seg: 71.2323, loss: 0.8725
2022-11-04 14:00:50,910 - mmseg - INFO - Iter [40500/80000]	lr: 6.358e-05, eta: 3:37:45, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5499, decode.acc_seg: 78.9105, aux.loss_ce: 0.3278, aux.acc_seg: 71.2071, loss: 0.8776
2022-11-04 14:01:07,329 - mmseg - INFO - Iter [40550/80000]	lr: 6.351e-05, eta: 3:37:28, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5564, decode.acc_seg: 78.9934, aux.loss_ce: 0.3261, aux.acc_seg: 71.2961, loss: 0.8826
2022-11-04 14:01:23,296 - mmseg - INFO - Iter [40600/80000]	lr: 6.344e-05, eta: 3:37:11, time: 0.319, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5513, decode.acc_seg: 79.1439, aux.loss_ce: 0.3331, aux.acc_seg: 71.0359, loss: 0.8845
2022-11-04 14:01:39,539 - mmseg - INFO - Iter [40650/80000]	lr: 6.337e-05, eta: 3:36:54, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5450, decode.acc_seg: 78.9378, aux.loss_ce: 0.3336, aux.acc_seg: 70.2644, loss: 0.8787
2022-11-04 14:01:56,036 - mmseg - INFO - Iter [40700/80000]	lr: 6.329e-05, eta: 3:36:38, time: 0.330, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5534, decode.acc_seg: 78.8873, aux.loss_ce: 0.3361, aux.acc_seg: 70.4362, loss: 0.8895
2022-11-04 14:02:12,061 - mmseg - INFO - Iter [40750/80000]	lr: 6.322e-05, eta: 3:36:21, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5708, decode.acc_seg: 78.2788, aux.loss_ce: 0.3413, aux.acc_seg: 70.1705, loss: 0.9121
2022-11-04 14:02:28,211 - mmseg - INFO - Iter [40800/80000]	lr: 6.315e-05, eta: 3:36:04, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5357, decode.acc_seg: 78.9878, aux.loss_ce: 0.3221, aux.acc_seg: 71.2052, loss: 0.8578
2022-11-04 14:02:44,170 - mmseg - INFO - Iter [40850/80000]	lr: 6.308e-05, eta: 3:35:47, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5583, decode.acc_seg: 79.1594, aux.loss_ce: 0.3316, aux.acc_seg: 71.3260, loss: 0.8899
2022-11-04 14:03:00,247 - mmseg - INFO - Iter [40900/80000]	lr: 6.300e-05, eta: 3:35:30, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5648, decode.acc_seg: 78.5725, aux.loss_ce: 0.3484, aux.acc_seg: 69.4859, loss: 0.9132
2022-11-04 14:03:16,680 - mmseg - INFO - Iter [40950/80000]	lr: 6.293e-05, eta: 3:35:13, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5582, decode.acc_seg: 78.6636, aux.loss_ce: 0.3296, aux.acc_seg: 70.6870, loss: 0.8878
2022-11-04 14:03:33,445 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 14:03:33,445 - mmseg - INFO - Iter [41000/80000]	lr: 6.286e-05, eta: 3:34:57, time: 0.335, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5734, decode.acc_seg: 78.1497, aux.loss_ce: 0.3523, aux.acc_seg: 69.3984, loss: 0.9257
2022-11-04 14:03:52,410 - mmseg - INFO - Iter [41050/80000]	lr: 6.279e-05, eta: 3:34:43, time: 0.379, data_time: 0.067, memory: 9985, decode.loss_ce: 0.5491, decode.acc_seg: 79.0477, aux.loss_ce: 0.3321, aux.acc_seg: 70.5155, loss: 0.8812
2022-11-04 14:04:08,401 - mmseg - INFO - Iter [41100/80000]	lr: 6.271e-05, eta: 3:34:25, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5642, decode.acc_seg: 78.7251, aux.loss_ce: 0.3464, aux.acc_seg: 69.7323, loss: 0.9106
2022-11-04 14:04:24,438 - mmseg - INFO - Iter [41150/80000]	lr: 6.264e-05, eta: 3:34:08, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5527, decode.acc_seg: 78.7144, aux.loss_ce: 0.3323, aux.acc_seg: 70.5569, loss: 0.8850
2022-11-04 14:04:40,541 - mmseg - INFO - Iter [41200/80000]	lr: 6.257e-05, eta: 3:33:52, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5543, decode.acc_seg: 78.9695, aux.loss_ce: 0.3331, aux.acc_seg: 70.8281, loss: 0.8874
2022-11-04 14:04:56,648 - mmseg - INFO - Iter [41250/80000]	lr: 6.250e-05, eta: 3:33:35, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5392, decode.acc_seg: 79.5210, aux.loss_ce: 0.3289, aux.acc_seg: 71.0363, loss: 0.8681
2022-11-04 14:05:12,641 - mmseg - INFO - Iter [41300/80000]	lr: 6.242e-05, eta: 3:33:18, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5440, decode.acc_seg: 79.0209, aux.loss_ce: 0.3357, aux.acc_seg: 70.7170, loss: 0.8797
2022-11-04 14:05:28,790 - mmseg - INFO - Iter [41350/80000]	lr: 6.235e-05, eta: 3:33:01, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5434, decode.acc_seg: 79.4005, aux.loss_ce: 0.3352, aux.acc_seg: 70.7782, loss: 0.8787
2022-11-04 14:05:44,921 - mmseg - INFO - Iter [41400/80000]	lr: 6.228e-05, eta: 3:32:44, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5510, decode.acc_seg: 79.1774, aux.loss_ce: 0.3337, aux.acc_seg: 71.0012, loss: 0.8847
2022-11-04 14:06:00,998 - mmseg - INFO - Iter [41450/80000]	lr: 6.221e-05, eta: 3:32:27, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5531, decode.acc_seg: 78.6124, aux.loss_ce: 0.3361, aux.acc_seg: 70.4840, loss: 0.8892
2022-11-04 14:06:17,162 - mmseg - INFO - Iter [41500/80000]	lr: 6.213e-05, eta: 3:32:10, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5657, decode.acc_seg: 78.5636, aux.loss_ce: 0.3364, aux.acc_seg: 70.5385, loss: 0.9021
2022-11-04 14:06:33,209 - mmseg - INFO - Iter [41550/80000]	lr: 6.206e-05, eta: 3:31:53, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5398, decode.acc_seg: 79.7176, aux.loss_ce: 0.3277, aux.acc_seg: 70.9303, loss: 0.8676
2022-11-04 14:06:49,203 - mmseg - INFO - Iter [41600/80000]	lr: 6.199e-05, eta: 3:31:36, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5487, decode.acc_seg: 78.9738, aux.loss_ce: 0.3318, aux.acc_seg: 70.8287, loss: 0.8805
2022-11-04 14:07:07,945 - mmseg - INFO - Iter [41650/80000]	lr: 6.192e-05, eta: 3:31:21, time: 0.375, data_time: 0.056, memory: 9985, decode.loss_ce: 0.5446, decode.acc_seg: 78.9847, aux.loss_ce: 0.3236, aux.acc_seg: 71.4689, loss: 0.8682
2022-11-04 14:07:24,451 - mmseg - INFO - Iter [41700/80000]	lr: 6.184e-05, eta: 3:31:05, time: 0.330, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5529, decode.acc_seg: 78.9010, aux.loss_ce: 0.3355, aux.acc_seg: 70.4102, loss: 0.8885
2022-11-04 14:07:40,478 - mmseg - INFO - Iter [41750/80000]	lr: 6.177e-05, eta: 3:30:48, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5534, decode.acc_seg: 79.1881, aux.loss_ce: 0.3326, aux.acc_seg: 71.2029, loss: 0.8859
2022-11-04 14:07:56,549 - mmseg - INFO - Iter [41800/80000]	lr: 6.170e-05, eta: 3:30:31, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5587, decode.acc_seg: 78.7816, aux.loss_ce: 0.3369, aux.acc_seg: 70.6330, loss: 0.8956
2022-11-04 14:08:12,652 - mmseg - INFO - Iter [41850/80000]	lr: 6.162e-05, eta: 3:30:14, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5483, decode.acc_seg: 78.9638, aux.loss_ce: 0.3324, aux.acc_seg: 70.8771, loss: 0.8806
2022-11-04 14:08:28,861 - mmseg - INFO - Iter [41900/80000]	lr: 6.155e-05, eta: 3:29:57, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5629, decode.acc_seg: 78.7498, aux.loss_ce: 0.3455, aux.acc_seg: 69.9529, loss: 0.9084
2022-11-04 14:08:45,159 - mmseg - INFO - Iter [41950/80000]	lr: 6.148e-05, eta: 3:29:40, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5473, decode.acc_seg: 79.0032, aux.loss_ce: 0.3325, aux.acc_seg: 70.5749, loss: 0.8799
2022-11-04 14:09:01,267 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 14:09:01,268 - mmseg - INFO - Iter [42000/80000]	lr: 6.141e-05, eta: 3:29:23, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5586, decode.acc_seg: 78.5267, aux.loss_ce: 0.3403, aux.acc_seg: 69.7133, loss: 0.8989
2022-11-04 14:09:17,414 - mmseg - INFO - Iter [42050/80000]	lr: 6.133e-05, eta: 3:29:07, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5607, decode.acc_seg: 78.7599, aux.loss_ce: 0.3391, aux.acc_seg: 70.2643, loss: 0.8999
2022-11-04 14:09:33,740 - mmseg - INFO - Iter [42100/80000]	lr: 6.126e-05, eta: 3:28:50, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5506, decode.acc_seg: 79.4714, aux.loss_ce: 0.3361, aux.acc_seg: 71.3289, loss: 0.8867
2022-11-04 14:09:49,932 - mmseg - INFO - Iter [42150/80000]	lr: 6.119e-05, eta: 3:28:33, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5379, decode.acc_seg: 79.5877, aux.loss_ce: 0.3313, aux.acc_seg: 71.3068, loss: 0.8692
2022-11-04 14:10:06,198 - mmseg - INFO - Iter [42200/80000]	lr: 6.112e-05, eta: 3:28:16, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5675, decode.acc_seg: 78.4330, aux.loss_ce: 0.3349, aux.acc_seg: 70.8410, loss: 0.9024
2022-11-04 14:10:22,467 - mmseg - INFO - Iter [42250/80000]	lr: 6.104e-05, eta: 3:27:59, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5552, decode.acc_seg: 78.8133, aux.loss_ce: 0.3352, aux.acc_seg: 70.5486, loss: 0.8904
2022-11-04 14:10:41,503 - mmseg - INFO - Iter [42300/80000]	lr: 6.097e-05, eta: 3:27:45, time: 0.381, data_time: 0.065, memory: 9985, decode.loss_ce: 0.5421, decode.acc_seg: 78.8554, aux.loss_ce: 0.3269, aux.acc_seg: 70.7767, loss: 0.8689
2022-11-04 14:10:57,867 - mmseg - INFO - Iter [42350/80000]	lr: 6.090e-05, eta: 3:27:29, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5477, decode.acc_seg: 79.4706, aux.loss_ce: 0.3249, aux.acc_seg: 71.6668, loss: 0.8725
2022-11-04 14:11:13,948 - mmseg - INFO - Iter [42400/80000]	lr: 6.082e-05, eta: 3:27:12, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5467, decode.acc_seg: 78.8849, aux.loss_ce: 0.3341, aux.acc_seg: 70.8804, loss: 0.8808
2022-11-04 14:11:30,056 - mmseg - INFO - Iter [42450/80000]	lr: 6.075e-05, eta: 3:26:55, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5494, decode.acc_seg: 79.2046, aux.loss_ce: 0.3380, aux.acc_seg: 70.4089, loss: 0.8873
2022-11-04 14:11:46,322 - mmseg - INFO - Iter [42500/80000]	lr: 6.068e-05, eta: 3:26:38, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5394, decode.acc_seg: 79.5896, aux.loss_ce: 0.3307, aux.acc_seg: 71.2130, loss: 0.8702
2022-11-04 14:12:02,400 - mmseg - INFO - Iter [42550/80000]	lr: 6.061e-05, eta: 3:26:21, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5463, decode.acc_seg: 78.8485, aux.loss_ce: 0.3293, aux.acc_seg: 70.1735, loss: 0.8756
2022-11-04 14:12:18,581 - mmseg - INFO - Iter [42600/80000]	lr: 6.053e-05, eta: 3:26:04, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5532, decode.acc_seg: 78.9031, aux.loss_ce: 0.3407, aux.acc_seg: 69.6053, loss: 0.8940
2022-11-04 14:12:34,892 - mmseg - INFO - Iter [42650/80000]	lr: 6.046e-05, eta: 3:25:47, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5365, decode.acc_seg: 79.4680, aux.loss_ce: 0.3259, aux.acc_seg: 71.0234, loss: 0.8624
2022-11-04 14:12:50,974 - mmseg - INFO - Iter [42700/80000]	lr: 6.039e-05, eta: 3:25:30, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5588, decode.acc_seg: 78.6275, aux.loss_ce: 0.3370, aux.acc_seg: 70.5957, loss: 0.8958
2022-11-04 14:13:07,203 - mmseg - INFO - Iter [42750/80000]	lr: 6.031e-05, eta: 3:25:14, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5409, decode.acc_seg: 79.7715, aux.loss_ce: 0.3392, aux.acc_seg: 70.7459, loss: 0.8801
2022-11-04 14:13:23,310 - mmseg - INFO - Iter [42800/80000]	lr: 6.024e-05, eta: 3:24:57, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5351, decode.acc_seg: 79.4684, aux.loss_ce: 0.3200, aux.acc_seg: 71.4071, loss: 0.8551
2022-11-04 14:13:39,289 - mmseg - INFO - Iter [42850/80000]	lr: 6.017e-05, eta: 3:24:40, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5494, decode.acc_seg: 78.7753, aux.loss_ce: 0.3238, aux.acc_seg: 71.1222, loss: 0.8732
2022-11-04 14:13:55,636 - mmseg - INFO - Iter [42900/80000]	lr: 6.010e-05, eta: 3:24:23, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5356, decode.acc_seg: 79.3815, aux.loss_ce: 0.3200, aux.acc_seg: 71.6976, loss: 0.8556
2022-11-04 14:14:14,863 - mmseg - INFO - Iter [42950/80000]	lr: 6.002e-05, eta: 3:24:09, time: 0.385, data_time: 0.063, memory: 9985, decode.loss_ce: 0.5713, decode.acc_seg: 78.2480, aux.loss_ce: 0.3427, aux.acc_seg: 70.2465, loss: 0.9140
2022-11-04 14:14:31,059 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 14:14:31,059 - mmseg - INFO - Iter [43000/80000]	lr: 5.995e-05, eta: 3:23:52, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5209, decode.acc_seg: 79.5763, aux.loss_ce: 0.3215, aux.acc_seg: 71.4140, loss: 0.8424
2022-11-04 14:14:47,146 - mmseg - INFO - Iter [43050/80000]	lr: 5.988e-05, eta: 3:23:35, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5581, decode.acc_seg: 78.8551, aux.loss_ce: 0.3326, aux.acc_seg: 70.9719, loss: 0.8907
2022-11-04 14:15:03,247 - mmseg - INFO - Iter [43100/80000]	lr: 5.980e-05, eta: 3:23:18, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5456, decode.acc_seg: 79.0436, aux.loss_ce: 0.3308, aux.acc_seg: 71.0256, loss: 0.8764
2022-11-04 14:15:19,407 - mmseg - INFO - Iter [43150/80000]	lr: 5.973e-05, eta: 3:23:01, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5471, decode.acc_seg: 79.4622, aux.loss_ce: 0.3311, aux.acc_seg: 71.3120, loss: 0.8782
2022-11-04 14:15:35,675 - mmseg - INFO - Iter [43200/80000]	lr: 5.966e-05, eta: 3:22:45, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5464, decode.acc_seg: 78.9875, aux.loss_ce: 0.3296, aux.acc_seg: 70.6895, loss: 0.8760
2022-11-04 14:15:51,965 - mmseg - INFO - Iter [43250/80000]	lr: 5.959e-05, eta: 3:22:28, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5466, decode.acc_seg: 79.2445, aux.loss_ce: 0.3332, aux.acc_seg: 70.7635, loss: 0.8797
2022-11-04 14:16:08,520 - mmseg - INFO - Iter [43300/80000]	lr: 5.951e-05, eta: 3:22:11, time: 0.331, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5384, decode.acc_seg: 79.4681, aux.loss_ce: 0.3261, aux.acc_seg: 71.3082, loss: 0.8645
2022-11-04 14:16:24,607 - mmseg - INFO - Iter [43350/80000]	lr: 5.944e-05, eta: 3:21:55, time: 0.322, data_time: 0.008, memory: 9985, decode.loss_ce: 0.5642, decode.acc_seg: 78.2675, aux.loss_ce: 0.3394, aux.acc_seg: 70.3649, loss: 0.9036
2022-11-04 14:16:40,807 - mmseg - INFO - Iter [43400/80000]	lr: 5.937e-05, eta: 3:21:38, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5311, decode.acc_seg: 79.7346, aux.loss_ce: 0.3227, aux.acc_seg: 71.9632, loss: 0.8538
2022-11-04 14:16:56,877 - mmseg - INFO - Iter [43450/80000]	lr: 5.929e-05, eta: 3:21:21, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5450, decode.acc_seg: 79.0320, aux.loss_ce: 0.3316, aux.acc_seg: 70.6419, loss: 0.8766
2022-11-04 14:17:13,044 - mmseg - INFO - Iter [43500/80000]	lr: 5.922e-05, eta: 3:21:04, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5528, decode.acc_seg: 78.5248, aux.loss_ce: 0.3285, aux.acc_seg: 70.6236, loss: 0.8813
2022-11-04 14:17:32,202 - mmseg - INFO - Iter [43550/80000]	lr: 5.915e-05, eta: 3:20:50, time: 0.383, data_time: 0.069, memory: 9985, decode.loss_ce: 0.5484, decode.acc_seg: 78.9951, aux.loss_ce: 0.3277, aux.acc_seg: 70.6938, loss: 0.8760
2022-11-04 14:17:48,351 - mmseg - INFO - Iter [43600/80000]	lr: 5.907e-05, eta: 3:20:33, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5334, decode.acc_seg: 79.5640, aux.loss_ce: 0.3298, aux.acc_seg: 70.7410, loss: 0.8632
2022-11-04 14:18:04,805 - mmseg - INFO - Iter [43650/80000]	lr: 5.900e-05, eta: 3:20:16, time: 0.329, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5201, decode.acc_seg: 80.4483, aux.loss_ce: 0.3175, aux.acc_seg: 72.2761, loss: 0.8377
2022-11-04 14:18:20,986 - mmseg - INFO - Iter [43700/80000]	lr: 5.893e-05, eta: 3:19:59, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5351, decode.acc_seg: 79.8203, aux.loss_ce: 0.3187, aux.acc_seg: 72.1656, loss: 0.8538
2022-11-04 14:18:37,338 - mmseg - INFO - Iter [43750/80000]	lr: 5.886e-05, eta: 3:19:43, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5539, decode.acc_seg: 78.7693, aux.loss_ce: 0.3389, aux.acc_seg: 70.2801, loss: 0.8928
2022-11-04 14:18:53,440 - mmseg - INFO - Iter [43800/80000]	lr: 5.878e-05, eta: 3:19:26, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5313, decode.acc_seg: 79.6533, aux.loss_ce: 0.3289, aux.acc_seg: 71.1620, loss: 0.8602
2022-11-04 14:19:09,529 - mmseg - INFO - Iter [43850/80000]	lr: 5.871e-05, eta: 3:19:09, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5436, decode.acc_seg: 79.2473, aux.loss_ce: 0.3346, aux.acc_seg: 70.4480, loss: 0.8783
2022-11-04 14:19:25,571 - mmseg - INFO - Iter [43900/80000]	lr: 5.864e-05, eta: 3:18:52, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5185, decode.acc_seg: 79.6206, aux.loss_ce: 0.3174, aux.acc_seg: 71.3428, loss: 0.8359
2022-11-04 14:19:41,819 - mmseg - INFO - Iter [43950/80000]	lr: 5.856e-05, eta: 3:18:35, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5482, decode.acc_seg: 78.8222, aux.loss_ce: 0.3292, aux.acc_seg: 70.8510, loss: 0.8774
2022-11-04 14:19:58,197 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 14:19:58,198 - mmseg - INFO - Iter [44000/80000]	lr: 5.849e-05, eta: 3:18:19, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5690, decode.acc_seg: 78.3143, aux.loss_ce: 0.3464, aux.acc_seg: 70.1478, loss: 0.9154
2022-11-04 14:20:14,532 - mmseg - INFO - Iter [44050/80000]	lr: 5.842e-05, eta: 3:18:02, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5449, decode.acc_seg: 79.2614, aux.loss_ce: 0.3275, aux.acc_seg: 71.1529, loss: 0.8724
2022-11-04 14:20:30,478 - mmseg - INFO - Iter [44100/80000]	lr: 5.834e-05, eta: 3:17:45, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5410, decode.acc_seg: 79.3462, aux.loss_ce: 0.3341, aux.acc_seg: 70.5635, loss: 0.8751
2022-11-04 14:20:46,551 - mmseg - INFO - Iter [44150/80000]	lr: 5.827e-05, eta: 3:17:28, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5566, decode.acc_seg: 79.1734, aux.loss_ce: 0.3396, aux.acc_seg: 70.5277, loss: 0.8962
2022-11-04 14:21:05,815 - mmseg - INFO - Iter [44200/80000]	lr: 5.820e-05, eta: 3:17:14, time: 0.385, data_time: 0.066, memory: 9985, decode.loss_ce: 0.5445, decode.acc_seg: 79.1965, aux.loss_ce: 0.3306, aux.acc_seg: 71.2819, loss: 0.8751
2022-11-04 14:21:22,006 - mmseg - INFO - Iter [44250/80000]	lr: 5.812e-05, eta: 3:16:57, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5189, decode.acc_seg: 79.7265, aux.loss_ce: 0.3156, aux.acc_seg: 71.6014, loss: 0.8346
2022-11-04 14:21:38,141 - mmseg - INFO - Iter [44300/80000]	lr: 5.805e-05, eta: 3:16:40, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5307, decode.acc_seg: 79.7587, aux.loss_ce: 0.3285, aux.acc_seg: 71.1149, loss: 0.8592
2022-11-04 14:21:54,112 - mmseg - INFO - Iter [44350/80000]	lr: 5.798e-05, eta: 3:16:23, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5316, decode.acc_seg: 79.3282, aux.loss_ce: 0.3264, aux.acc_seg: 70.7276, loss: 0.8581
2022-11-04 14:22:10,600 - mmseg - INFO - Iter [44400/80000]	lr: 5.791e-05, eta: 3:16:07, time: 0.330, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5424, decode.acc_seg: 79.1977, aux.loss_ce: 0.3276, aux.acc_seg: 70.9562, loss: 0.8700
2022-11-04 14:22:26,894 - mmseg - INFO - Iter [44450/80000]	lr: 5.783e-05, eta: 3:15:50, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5422, decode.acc_seg: 79.1881, aux.loss_ce: 0.3319, aux.acc_seg: 70.7288, loss: 0.8741
2022-11-04 14:22:43,136 - mmseg - INFO - Iter [44500/80000]	lr: 5.776e-05, eta: 3:15:33, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5570, decode.acc_seg: 78.8162, aux.loss_ce: 0.3369, aux.acc_seg: 70.9669, loss: 0.8939
2022-11-04 14:22:59,174 - mmseg - INFO - Iter [44550/80000]	lr: 5.769e-05, eta: 3:15:16, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5277, decode.acc_seg: 79.5840, aux.loss_ce: 0.3224, aux.acc_seg: 71.3441, loss: 0.8501
2022-11-04 14:23:15,099 - mmseg - INFO - Iter [44600/80000]	lr: 5.761e-05, eta: 3:14:59, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5445, decode.acc_seg: 79.2614, aux.loss_ce: 0.3365, aux.acc_seg: 70.3837, loss: 0.8810
2022-11-04 14:23:31,393 - mmseg - INFO - Iter [44650/80000]	lr: 5.754e-05, eta: 3:14:42, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5488, decode.acc_seg: 78.8754, aux.loss_ce: 0.3328, aux.acc_seg: 70.6694, loss: 0.8816
2022-11-04 14:23:47,790 - mmseg - INFO - Iter [44700/80000]	lr: 5.747e-05, eta: 3:14:26, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5427, decode.acc_seg: 78.9820, aux.loss_ce: 0.3285, aux.acc_seg: 70.8632, loss: 0.8712
2022-11-04 14:24:03,937 - mmseg - INFO - Iter [44750/80000]	lr: 5.739e-05, eta: 3:14:09, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5544, decode.acc_seg: 78.7028, aux.loss_ce: 0.3319, aux.acc_seg: 71.0151, loss: 0.8863
2022-11-04 14:24:19,911 - mmseg - INFO - Iter [44800/80000]	lr: 5.732e-05, eta: 3:13:52, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5336, decode.acc_seg: 79.6786, aux.loss_ce: 0.3196, aux.acc_seg: 71.3453, loss: 0.8532
2022-11-04 14:24:39,154 - mmseg - INFO - Iter [44850/80000]	lr: 5.725e-05, eta: 3:13:38, time: 0.385, data_time: 0.063, memory: 9985, decode.loss_ce: 0.5275, decode.acc_seg: 79.6049, aux.loss_ce: 0.3201, aux.acc_seg: 71.5973, loss: 0.8476
2022-11-04 14:24:55,294 - mmseg - INFO - Iter [44900/80000]	lr: 5.717e-05, eta: 3:13:21, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5139, decode.acc_seg: 80.0191, aux.loss_ce: 0.3198, aux.acc_seg: 71.2391, loss: 0.8337
2022-11-04 14:25:11,554 - mmseg - INFO - Iter [44950/80000]	lr: 5.710e-05, eta: 3:13:04, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5398, decode.acc_seg: 79.1874, aux.loss_ce: 0.3323, aux.acc_seg: 70.6306, loss: 0.8721
2022-11-04 14:25:27,480 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 14:25:27,480 - mmseg - INFO - Iter [45000/80000]	lr: 5.703e-05, eta: 3:12:47, time: 0.318, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5514, decode.acc_seg: 78.9562, aux.loss_ce: 0.3310, aux.acc_seg: 70.9309, loss: 0.8824
2022-11-04 14:25:43,516 - mmseg - INFO - Iter [45050/80000]	lr: 5.695e-05, eta: 3:12:30, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5379, decode.acc_seg: 79.2870, aux.loss_ce: 0.3303, aux.acc_seg: 70.4214, loss: 0.8683
2022-11-04 14:25:59,506 - mmseg - INFO - Iter [45100/80000]	lr: 5.688e-05, eta: 3:12:13, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5296, decode.acc_seg: 79.5806, aux.loss_ce: 0.3234, aux.acc_seg: 71.2596, loss: 0.8530
2022-11-04 14:26:15,850 - mmseg - INFO - Iter [45150/80000]	lr: 5.681e-05, eta: 3:11:57, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5239, decode.acc_seg: 79.8529, aux.loss_ce: 0.3213, aux.acc_seg: 70.8722, loss: 0.8451
2022-11-04 14:26:32,210 - mmseg - INFO - Iter [45200/80000]	lr: 5.673e-05, eta: 3:11:40, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5415, decode.acc_seg: 78.8366, aux.loss_ce: 0.3368, aux.acc_seg: 70.1419, loss: 0.8783
2022-11-04 14:26:48,521 - mmseg - INFO - Iter [45250/80000]	lr: 5.666e-05, eta: 3:11:23, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5481, decode.acc_seg: 79.1212, aux.loss_ce: 0.3322, aux.acc_seg: 71.1750, loss: 0.8802
2022-11-04 14:27:04,580 - mmseg - INFO - Iter [45300/80000]	lr: 5.659e-05, eta: 3:11:06, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5552, decode.acc_seg: 78.6725, aux.loss_ce: 0.3327, aux.acc_seg: 71.0289, loss: 0.8879
2022-11-04 14:27:20,746 - mmseg - INFO - Iter [45350/80000]	lr: 5.651e-05, eta: 3:10:50, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5425, decode.acc_seg: 79.2615, aux.loss_ce: 0.3215, aux.acc_seg: 71.3846, loss: 0.8639
2022-11-04 14:27:36,973 - mmseg - INFO - Iter [45400/80000]	lr: 5.644e-05, eta: 3:10:33, time: 0.325, data_time: 0.011, memory: 9985, decode.loss_ce: 0.5695, decode.acc_seg: 78.6142, aux.loss_ce: 0.3546, aux.acc_seg: 69.4963, loss: 0.9241
2022-11-04 14:27:56,349 - mmseg - INFO - Iter [45450/80000]	lr: 5.637e-05, eta: 3:10:18, time: 0.388, data_time: 0.060, memory: 9985, decode.loss_ce: 0.5465, decode.acc_seg: 79.1880, aux.loss_ce: 0.3286, aux.acc_seg: 71.7430, loss: 0.8751
2022-11-04 14:28:12,522 - mmseg - INFO - Iter [45500/80000]	lr: 5.629e-05, eta: 3:10:02, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5460, decode.acc_seg: 79.0203, aux.loss_ce: 0.3338, aux.acc_seg: 70.4671, loss: 0.8798
2022-11-04 14:28:28,751 - mmseg - INFO - Iter [45550/80000]	lr: 5.622e-05, eta: 3:09:45, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5410, decode.acc_seg: 79.3570, aux.loss_ce: 0.3371, aux.acc_seg: 70.6342, loss: 0.8781
2022-11-04 14:28:45,122 - mmseg - INFO - Iter [45600/80000]	lr: 5.615e-05, eta: 3:09:28, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5392, decode.acc_seg: 79.2355, aux.loss_ce: 0.3233, aux.acc_seg: 71.4741, loss: 0.8625
2022-11-04 14:29:01,203 - mmseg - INFO - Iter [45650/80000]	lr: 5.607e-05, eta: 3:09:11, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5490, decode.acc_seg: 79.2295, aux.loss_ce: 0.3334, aux.acc_seg: 71.0201, loss: 0.8825
2022-11-04 14:29:17,459 - mmseg - INFO - Iter [45700/80000]	lr: 5.600e-05, eta: 3:08:55, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5402, decode.acc_seg: 79.3193, aux.loss_ce: 0.3298, aux.acc_seg: 71.0964, loss: 0.8700
2022-11-04 14:29:33,651 - mmseg - INFO - Iter [45750/80000]	lr: 5.593e-05, eta: 3:08:38, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5445, decode.acc_seg: 79.2170, aux.loss_ce: 0.3261, aux.acc_seg: 71.3058, loss: 0.8706
2022-11-04 14:29:49,748 - mmseg - INFO - Iter [45800/80000]	lr: 5.585e-05, eta: 3:08:21, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5529, decode.acc_seg: 79.3294, aux.loss_ce: 0.3308, aux.acc_seg: 71.1787, loss: 0.8837
2022-11-04 14:30:05,900 - mmseg - INFO - Iter [45850/80000]	lr: 5.578e-05, eta: 3:08:04, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5353, decode.acc_seg: 79.8220, aux.loss_ce: 0.3201, aux.acc_seg: 71.9382, loss: 0.8554
2022-11-04 14:30:22,249 - mmseg - INFO - Iter [45900/80000]	lr: 5.570e-05, eta: 3:07:48, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5470, decode.acc_seg: 79.2073, aux.loss_ce: 0.3340, aux.acc_seg: 70.9984, loss: 0.8810
2022-11-04 14:30:38,400 - mmseg - INFO - Iter [45950/80000]	lr: 5.563e-05, eta: 3:07:31, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5331, decode.acc_seg: 79.2535, aux.loss_ce: 0.3235, aux.acc_seg: 70.8815, loss: 0.8566
2022-11-04 14:30:54,601 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 14:30:54,601 - mmseg - INFO - Iter [46000/80000]	lr: 5.556e-05, eta: 3:07:14, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5373, decode.acc_seg: 79.4734, aux.loss_ce: 0.3305, aux.acc_seg: 71.1523, loss: 0.8678
2022-11-04 14:31:10,743 - mmseg - INFO - Iter [46050/80000]	lr: 5.548e-05, eta: 3:06:57, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5473, decode.acc_seg: 78.7109, aux.loss_ce: 0.3290, aux.acc_seg: 71.1476, loss: 0.8764
2022-11-04 14:31:29,942 - mmseg - INFO - Iter [46100/80000]	lr: 5.541e-05, eta: 3:06:43, time: 0.384, data_time: 0.066, memory: 9985, decode.loss_ce: 0.5347, decode.acc_seg: 79.2289, aux.loss_ce: 0.3276, aux.acc_seg: 71.1714, loss: 0.8624
2022-11-04 14:31:45,952 - mmseg - INFO - Iter [46150/80000]	lr: 5.534e-05, eta: 3:06:26, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5399, decode.acc_seg: 79.4119, aux.loss_ce: 0.3362, aux.acc_seg: 71.0842, loss: 0.8761
2022-11-04 14:32:02,007 - mmseg - INFO - Iter [46200/80000]	lr: 5.526e-05, eta: 3:06:09, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5405, decode.acc_seg: 79.3878, aux.loss_ce: 0.3327, aux.acc_seg: 70.6436, loss: 0.8732
2022-11-04 14:32:18,085 - mmseg - INFO - Iter [46250/80000]	lr: 5.519e-05, eta: 3:05:52, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5518, decode.acc_seg: 79.0466, aux.loss_ce: 0.3317, aux.acc_seg: 70.9862, loss: 0.8835
2022-11-04 14:32:34,253 - mmseg - INFO - Iter [46300/80000]	lr: 5.512e-05, eta: 3:05:35, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5123, decode.acc_seg: 80.1319, aux.loss_ce: 0.3133, aux.acc_seg: 71.9500, loss: 0.8256
2022-11-04 14:32:50,273 - mmseg - INFO - Iter [46350/80000]	lr: 5.504e-05, eta: 3:05:18, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5200, decode.acc_seg: 80.0735, aux.loss_ce: 0.3177, aux.acc_seg: 71.8674, loss: 0.8377
2022-11-04 14:33:06,200 - mmseg - INFO - Iter [46400/80000]	lr: 5.497e-05, eta: 3:05:02, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5384, decode.acc_seg: 79.5245, aux.loss_ce: 0.3257, aux.acc_seg: 70.8951, loss: 0.8641
2022-11-04 14:33:22,211 - mmseg - INFO - Iter [46450/80000]	lr: 5.490e-05, eta: 3:04:45, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5256, decode.acc_seg: 80.0625, aux.loss_ce: 0.3223, aux.acc_seg: 71.6646, loss: 0.8479
2022-11-04 14:33:38,261 - mmseg - INFO - Iter [46500/80000]	lr: 5.482e-05, eta: 3:04:28, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5441, decode.acc_seg: 78.8374, aux.loss_ce: 0.3298, aux.acc_seg: 70.9269, loss: 0.8739
2022-11-04 14:33:54,485 - mmseg - INFO - Iter [46550/80000]	lr: 5.475e-05, eta: 3:04:11, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5426, decode.acc_seg: 79.3687, aux.loss_ce: 0.3247, aux.acc_seg: 71.4667, loss: 0.8673
2022-11-04 14:34:10,879 - mmseg - INFO - Iter [46600/80000]	lr: 5.467e-05, eta: 3:03:54, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5377, decode.acc_seg: 79.1550, aux.loss_ce: 0.3278, aux.acc_seg: 71.0056, loss: 0.8655
2022-11-04 14:34:27,230 - mmseg - INFO - Iter [46650/80000]	lr: 5.460e-05, eta: 3:03:38, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5266, decode.acc_seg: 79.7610, aux.loss_ce: 0.3259, aux.acc_seg: 71.3104, loss: 0.8525
2022-11-04 14:34:46,351 - mmseg - INFO - Iter [46700/80000]	lr: 5.453e-05, eta: 3:03:23, time: 0.382, data_time: 0.065, memory: 9985, decode.loss_ce: 0.5543, decode.acc_seg: 78.8625, aux.loss_ce: 0.3350, aux.acc_seg: 70.7970, loss: 0.8893
2022-11-04 14:35:02,309 - mmseg - INFO - Iter [46750/80000]	lr: 5.445e-05, eta: 3:03:06, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5092, decode.acc_seg: 80.3845, aux.loss_ce: 0.3136, aux.acc_seg: 71.9043, loss: 0.8228
2022-11-04 14:35:18,349 - mmseg - INFO - Iter [46800/80000]	lr: 5.438e-05, eta: 3:02:49, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5212, decode.acc_seg: 79.8024, aux.loss_ce: 0.3249, aux.acc_seg: 71.1884, loss: 0.8461
2022-11-04 14:35:34,491 - mmseg - INFO - Iter [46850/80000]	lr: 5.431e-05, eta: 3:02:33, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5322, decode.acc_seg: 79.5392, aux.loss_ce: 0.3253, aux.acc_seg: 70.9090, loss: 0.8575
2022-11-04 14:35:51,184 - mmseg - INFO - Iter [46900/80000]	lr: 5.423e-05, eta: 3:02:16, time: 0.334, data_time: 0.020, memory: 9985, decode.loss_ce: 0.5310, decode.acc_seg: 79.7274, aux.loss_ce: 0.3259, aux.acc_seg: 71.5525, loss: 0.8568
2022-11-04 14:36:07,395 - mmseg - INFO - Iter [46950/80000]	lr: 5.416e-05, eta: 3:01:59, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5349, decode.acc_seg: 79.4791, aux.loss_ce: 0.3269, aux.acc_seg: 71.7612, loss: 0.8618
2022-11-04 14:36:23,731 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 14:36:23,732 - mmseg - INFO - Iter [47000/80000]	lr: 5.408e-05, eta: 3:01:43, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5356, decode.acc_seg: 79.5134, aux.loss_ce: 0.3267, aux.acc_seg: 70.9136, loss: 0.8623
2022-11-04 14:36:39,771 - mmseg - INFO - Iter [47050/80000]	lr: 5.401e-05, eta: 3:01:26, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5298, decode.acc_seg: 79.7555, aux.loss_ce: 0.3251, aux.acc_seg: 71.5263, loss: 0.8549
2022-11-04 14:36:56,059 - mmseg - INFO - Iter [47100/80000]	lr: 5.394e-05, eta: 3:01:09, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5499, decode.acc_seg: 78.8079, aux.loss_ce: 0.3305, aux.acc_seg: 70.8580, loss: 0.8804
2022-11-04 14:37:12,118 - mmseg - INFO - Iter [47150/80000]	lr: 5.386e-05, eta: 3:00:52, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5181, decode.acc_seg: 80.0023, aux.loss_ce: 0.3178, aux.acc_seg: 71.7763, loss: 0.8360
2022-11-04 14:37:28,377 - mmseg - INFO - Iter [47200/80000]	lr: 5.379e-05, eta: 3:00:36, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5550, decode.acc_seg: 78.9398, aux.loss_ce: 0.3380, aux.acc_seg: 70.6508, loss: 0.8929
2022-11-04 14:37:44,572 - mmseg - INFO - Iter [47250/80000]	lr: 5.372e-05, eta: 3:00:19, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5341, decode.acc_seg: 79.8999, aux.loss_ce: 0.3262, aux.acc_seg: 71.4996, loss: 0.8603
2022-11-04 14:38:00,607 - mmseg - INFO - Iter [47300/80000]	lr: 5.364e-05, eta: 3:00:02, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5388, decode.acc_seg: 79.6809, aux.loss_ce: 0.3291, aux.acc_seg: 71.1907, loss: 0.8678
2022-11-04 14:38:19,969 - mmseg - INFO - Iter [47350/80000]	lr: 5.357e-05, eta: 2:59:48, time: 0.387, data_time: 0.069, memory: 9985, decode.loss_ce: 0.5381, decode.acc_seg: 79.1727, aux.loss_ce: 0.3301, aux.acc_seg: 70.7629, loss: 0.8681
2022-11-04 14:38:36,109 - mmseg - INFO - Iter [47400/80000]	lr: 5.349e-05, eta: 2:59:31, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5389, decode.acc_seg: 79.0683, aux.loss_ce: 0.3299, aux.acc_seg: 70.5155, loss: 0.8688
2022-11-04 14:38:52,251 - mmseg - INFO - Iter [47450/80000]	lr: 5.342e-05, eta: 2:59:14, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5253, decode.acc_seg: 79.7774, aux.loss_ce: 0.3189, aux.acc_seg: 72.0134, loss: 0.8442
2022-11-04 14:39:08,323 - mmseg - INFO - Iter [47500/80000]	lr: 5.335e-05, eta: 2:58:57, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5176, decode.acc_seg: 80.1142, aux.loss_ce: 0.3261, aux.acc_seg: 71.2019, loss: 0.8437
2022-11-04 14:39:24,479 - mmseg - INFO - Iter [47550/80000]	lr: 5.327e-05, eta: 2:58:40, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5268, decode.acc_seg: 79.8382, aux.loss_ce: 0.3285, aux.acc_seg: 71.3576, loss: 0.8553
2022-11-04 14:39:40,664 - mmseg - INFO - Iter [47600/80000]	lr: 5.320e-05, eta: 2:58:24, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4955, decode.acc_seg: 81.0411, aux.loss_ce: 0.3064, aux.acc_seg: 73.0370, loss: 0.8019
2022-11-04 14:39:56,902 - mmseg - INFO - Iter [47650/80000]	lr: 5.313e-05, eta: 2:58:07, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5367, decode.acc_seg: 79.6339, aux.loss_ce: 0.3305, aux.acc_seg: 70.5557, loss: 0.8672
2022-11-04 14:40:13,139 - mmseg - INFO - Iter [47700/80000]	lr: 5.305e-05, eta: 2:57:50, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5387, decode.acc_seg: 79.1463, aux.loss_ce: 0.3282, aux.acc_seg: 70.5921, loss: 0.8669
2022-11-04 14:40:29,192 - mmseg - INFO - Iter [47750/80000]	lr: 5.298e-05, eta: 2:57:33, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5377, decode.acc_seg: 79.6922, aux.loss_ce: 0.3293, aux.acc_seg: 71.1875, loss: 0.8670
2022-11-04 14:40:45,516 - mmseg - INFO - Iter [47800/80000]	lr: 5.290e-05, eta: 2:57:17, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5364, decode.acc_seg: 79.6073, aux.loss_ce: 0.3301, aux.acc_seg: 70.8087, loss: 0.8665
2022-11-04 14:41:01,854 - mmseg - INFO - Iter [47850/80000]	lr: 5.283e-05, eta: 2:57:00, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5439, decode.acc_seg: 79.0901, aux.loss_ce: 0.3360, aux.acc_seg: 70.5340, loss: 0.8799
2022-11-04 14:41:17,793 - mmseg - INFO - Iter [47900/80000]	lr: 5.276e-05, eta: 2:56:43, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5258, decode.acc_seg: 79.8415, aux.loss_ce: 0.3196, aux.acc_seg: 71.7801, loss: 0.8455
2022-11-04 14:41:33,766 - mmseg - INFO - Iter [47950/80000]	lr: 5.268e-05, eta: 2:56:26, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5263, decode.acc_seg: 80.3058, aux.loss_ce: 0.3291, aux.acc_seg: 71.8518, loss: 0.8555
2022-11-04 14:41:53,157 - mmseg - INFO - Saving checkpoint at 48000 iterations
2022-11-04 14:41:53,383 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 14:41:53,383 - mmseg - INFO - Iter [48000/80000]	lr: 5.261e-05, eta: 2:56:12, time: 0.392, data_time: 0.065, memory: 9985, decode.loss_ce: 0.5288, decode.acc_seg: 79.9926, aux.loss_ce: 0.3281, aux.acc_seg: 71.4709, loss: 0.8570
2022-11-04 14:42:02,091 - mmseg - INFO - per class results:
2022-11-04 14:42:02,098 - mmseg - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 65.76 | 83.62 |
|       building      | 75.12 | 88.88 |
|         sky         | 90.35 | 94.98 |
|        floor        | 68.63 | 86.46 |
|         tree        | 65.48 | 83.97 |
|       ceiling       | 75.48 | 85.57 |
|         road        | 75.58 |  85.5 |
|         bed         | 73.96 | 87.94 |
|      windowpane     | 49.65 | 67.82 |
|        grass        | 60.68 | 74.47 |
|       cabinet       | 46.48 | 62.41 |
|       sidewalk      | 52.09 | 72.13 |
|        person       | 63.27 | 79.24 |
|        earth        | 28.19 | 40.03 |
|         door        | 25.68 | 34.15 |
|        table        | 37.32 |  52.6 |
|       mountain      | 51.46 | 69.23 |
|        plant        | 37.25 | 47.17 |
|       curtain       |  53.3 | 70.32 |
|        chair        | 34.94 | 52.16 |
|         car         | 69.02 | 85.33 |
|        water        | 39.75 | 57.15 |
|       painting      | 54.32 | 67.75 |
|         sofa        | 47.41 |  69.4 |
|        shelf        | 30.59 | 42.21 |
|        house        |  48.8 | 68.26 |
|         sea         | 47.29 | 74.72 |
|        mirror       | 39.24 | 45.75 |
|         rug         | 34.11 | 39.93 |
|        field        | 21.99 | 43.11 |
|       armchair      | 23.24 | 32.12 |
|         seat        | 51.75 | 66.97 |
|        fence        | 14.45 | 16.94 |
|         desk        | 32.23 | 56.32 |
|         rock        | 31.46 | 47.48 |
|       wardrobe      | 38.48 | 50.76 |
|         lamp        | 34.12 | 47.64 |
|       bathtub       | 45.33 | 55.69 |
|       railing       | 26.43 | 40.56 |
|       cushion       | 29.25 | 38.02 |
|         base        | 19.98 |  38.0 |
|         box         |  7.73 |  9.54 |
|        column       | 27.03 | 33.68 |
|      signboard      | 18.83 | 25.87 |
|   chest of drawers  | 28.92 | 38.38 |
|       counter       | 26.88 | 30.77 |
|         sand        |  15.1 | 25.32 |
|         sink        | 41.89 | 59.67 |
|      skyscraper     | 54.18 | 72.41 |
|      fireplace      | 49.21 | 67.59 |
|     refrigerator    | 48.97 | 65.64 |
|      grandstand     |  46.2 | 61.93 |
|         path        | 22.49 | 30.16 |
|        stairs       | 19.39 | 23.73 |
|        runway       | 74.37 | 92.82 |
|         case        | 40.58 | 65.96 |
|      pool table     | 80.57 | 88.14 |
|        pillow       |  31.7 | 38.99 |
|     screen door     |  51.8 | 63.23 |
|       stairway      | 22.31 | 32.37 |
|        river        |  6.2  | 15.52 |
|        bridge       | 26.92 | 34.63 |
|       bookcase      | 21.91 | 32.75 |
|        blind        | 13.22 | 15.82 |
|     coffee table    | 36.67 | 66.89 |
|        toilet       | 61.37 | 74.96 |
|        flower       | 19.37 | 43.73 |
|         book        | 38.54 |  56.0 |
|         hill        |  3.44 |  5.28 |
|        bench        | 31.87 | 44.27 |
|      countertop     | 32.91 | 44.99 |
|        stove        | 41.75 |  69.5 |
|         palm        |  33.4 |  49.0 |
|    kitchen island   | 18.85 |  40.1 |
|       computer      | 42.14 | 60.34 |
|     swivel chair    | 25.58 | 37.01 |
|         boat        | 27.87 | 39.79 |
|         bar         | 13.82 | 16.86 |
|    arcade machine   | 25.71 |  36.2 |
|        hovel        | 48.83 | 59.88 |
|         bus         | 64.75 | 81.03 |
|        towel        | 30.82 |  41.2 |
|        light        | 13.06 | 14.14 |
|        truck        | 10.19 | 11.79 |
|        tower        | 30.09 | 37.13 |
|      chandelier     | 45.99 | 62.75 |
|        awning       | 13.83 | 15.83 |
|     streetlight     |  4.08 |  4.47 |
|        booth        | 26.44 | 31.86 |
| television receiver | 45.55 | 63.57 |
|       airplane      |  38.5 | 54.04 |
|      dirt track     |  8.56 | 16.91 |
|       apparel       | 18.41 | 26.87 |
|         pole        |  2.29 |  2.47 |
|         land        |  0.12 |  0.17 |
|      bannister      |  1.01 |  1.49 |
|      escalator      | 20.54 | 23.83 |
|       ottoman       |  7.65 |  8.17 |
|        bottle       |  4.29 |  4.56 |
|        buffet       | 17.87 | 20.07 |
|        poster       |  9.74 | 11.05 |
|        stage        |  9.28 | 11.19 |
|         van         | 12.19 | 13.66 |
|         ship        | 52.37 | 75.94 |
|       fountain      | 18.08 | 18.63 |
|    conveyer belt    | 55.07 | 63.61 |
|        canopy       |  7.54 |  9.89 |
|        washer       | 47.84 | 61.91 |
|      plaything      |  1.3  |  1.6  |
|    swimming pool    |  21.1 | 29.63 |
|        stool        |  4.11 |  4.5  |
|        barrel       | 23.24 | 31.97 |
|        basket       |  9.17 | 10.74 |
|      waterfall      | 29.74 | 32.68 |
|         tent        |  76.9 |  98.9 |
|         bag         |  1.12 |  1.2  |
|       minibike      |  43.7 | 53.15 |
|        cradle       | 56.29 |  77.8 |
|         oven        | 12.36 | 15.96 |
|         ball        | 13.33 | 15.38 |
|         food        | 39.41 | 48.27 |
|         step        |  4.37 |  4.66 |
|         tank        |  24.3 |  31.7 |
|      trade name     | 17.39 | 19.25 |
|      microwave      | 22.91 |  26.2 |
|         pot         | 27.68 | 32.93 |
|        animal       | 39.08 | 44.52 |
|       bicycle       | 35.29 | 49.98 |
|         lake        | 36.26 | 39.84 |
|      dishwasher     | 17.81 | 22.21 |
|        screen       |  50.8 | 64.69 |
|       blanket       |  0.92 |  0.98 |
|      sculpture      | 20.68 | 25.96 |
|         hood        | 26.78 | 30.61 |
|        sconce       |  5.51 |  5.75 |
|         vase        | 13.47 | 17.69 |
|    traffic light    |  9.49 | 10.67 |
|         tray        |  1.32 |  1.59 |
|        ashcan       | 12.26 | 15.19 |
|         fan         | 22.68 | 26.99 |
|         pier        | 42.47 | 73.74 |
|      crt screen     |  0.0  |  0.0  |
|        plate        | 25.22 | 31.08 |
|       monitor       |  0.89 |  0.92 |
|    bulletin board   | 24.63 | 32.33 |
|        shower       |  0.0  |  0.0  |
|       radiator      | 28.58 | 30.44 |
|        glass        |  0.55 |  0.55 |
|        clock        |  3.13 |  3.6  |
|         flag        |  14.5 | 15.43 |
+---------------------+-------+-------+
2022-11-04 14:42:02,099 - mmseg - INFO - Summary:
2022-11-04 14:42:02,099 - mmseg - INFO - 
+-------+------+-------+
|  aAcc | mIoU |  mAcc |
+-------+------+-------+
| 74.36 | 31.1 | 40.95 |
+-------+------+-------+
2022-11-04 14:42:02,100 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 14:42:02,101 - mmseg - INFO - Iter(val) [250]	aAcc: 0.7436, mIoU: 0.3110, mAcc: 0.4095, IoU.wall: 0.6576, IoU.building: 0.7512, IoU.sky: 0.9035, IoU.floor: 0.6863, IoU.tree: 0.6548, IoU.ceiling: 0.7548, IoU.road: 0.7558, IoU.bed : 0.7396, IoU.windowpane: 0.4965, IoU.grass: 0.6068, IoU.cabinet: 0.4648, IoU.sidewalk: 0.5209, IoU.person: 0.6327, IoU.earth: 0.2819, IoU.door: 0.2568, IoU.table: 0.3732, IoU.mountain: 0.5146, IoU.plant: 0.3725, IoU.curtain: 0.5330, IoU.chair: 0.3494, IoU.car: 0.6902, IoU.water: 0.3975, IoU.painting: 0.5432, IoU.sofa: 0.4741, IoU.shelf: 0.3059, IoU.house: 0.4880, IoU.sea: 0.4729, IoU.mirror: 0.3924, IoU.rug: 0.3411, IoU.field: 0.2199, IoU.armchair: 0.2324, IoU.seat: 0.5175, IoU.fence: 0.1445, IoU.desk: 0.3223, IoU.rock: 0.3146, IoU.wardrobe: 0.3848, IoU.lamp: 0.3412, IoU.bathtub: 0.4533, IoU.railing: 0.2643, IoU.cushion: 0.2925, IoU.base: 0.1998, IoU.box: 0.0773, IoU.column: 0.2703, IoU.signboard: 0.1883, IoU.chest of drawers: 0.2892, IoU.counter: 0.2688, IoU.sand: 0.1510, IoU.sink: 0.4189, IoU.skyscraper: 0.5418, IoU.fireplace: 0.4921, IoU.refrigerator: 0.4897, IoU.grandstand: 0.4620, IoU.path: 0.2249, IoU.stairs: 0.1939, IoU.runway: 0.7437, IoU.case: 0.4058, IoU.pool table: 0.8057, IoU.pillow: 0.3170, IoU.screen door: 0.5180, IoU.stairway: 0.2231, IoU.river: 0.0620, IoU.bridge: 0.2692, IoU.bookcase: 0.2191, IoU.blind: 0.1322, IoU.coffee table: 0.3667, IoU.toilet: 0.6137, IoU.flower: 0.1937, IoU.book: 0.3854, IoU.hill: 0.0344, IoU.bench: 0.3187, IoU.countertop: 0.3291, IoU.stove: 0.4175, IoU.palm: 0.3340, IoU.kitchen island: 0.1885, IoU.computer: 0.4214, IoU.swivel chair: 0.2558, IoU.boat: 0.2787, IoU.bar: 0.1382, IoU.arcade machine: 0.2571, IoU.hovel: 0.4883, IoU.bus: 0.6475, IoU.towel: 0.3082, IoU.light: 0.1306, IoU.truck: 0.1019, IoU.tower: 0.3009, IoU.chandelier: 0.4599, IoU.awning: 0.1383, IoU.streetlight: 0.0408, IoU.booth: 0.2644, IoU.television receiver: 0.4555, IoU.airplane: 0.3850, IoU.dirt track: 0.0856, IoU.apparel: 0.1841, IoU.pole: 0.0229, IoU.land: 0.0012, IoU.bannister: 0.0101, IoU.escalator: 0.2054, IoU.ottoman: 0.0765, IoU.bottle: 0.0429, IoU.buffet: 0.1787, IoU.poster: 0.0974, IoU.stage: 0.0928, IoU.van: 0.1219, IoU.ship: 0.5237, IoU.fountain: 0.1808, IoU.conveyer belt: 0.5507, IoU.canopy: 0.0754, IoU.washer: 0.4784, IoU.plaything: 0.0130, IoU.swimming pool: 0.2110, IoU.stool: 0.0411, IoU.barrel: 0.2324, IoU.basket: 0.0917, IoU.waterfall: 0.2974, IoU.tent: 0.7690, IoU.bag: 0.0112, IoU.minibike: 0.4370, IoU.cradle: 0.5629, IoU.oven: 0.1236, IoU.ball: 0.1333, IoU.food: 0.3941, IoU.step: 0.0437, IoU.tank: 0.2430, IoU.trade name: 0.1739, IoU.microwave: 0.2291, IoU.pot: 0.2768, IoU.animal: 0.3908, IoU.bicycle: 0.3529, IoU.lake: 0.3626, IoU.dishwasher: 0.1781, IoU.screen: 0.5080, IoU.blanket: 0.0092, IoU.sculpture: 0.2068, IoU.hood: 0.2678, IoU.sconce: 0.0551, IoU.vase: 0.1347, IoU.traffic light: 0.0949, IoU.tray: 0.0132, IoU.ashcan: 0.1226, IoU.fan: 0.2268, IoU.pier: 0.4247, IoU.crt screen: 0.0000, IoU.plate: 0.2522, IoU.monitor: 0.0089, IoU.bulletin board: 0.2463, IoU.shower: 0.0000, IoU.radiator: 0.2858, IoU.glass: 0.0055, IoU.clock: 0.0313, IoU.flag: 0.1450, Acc.wall: 0.8362, Acc.building: 0.8888, Acc.sky: 0.9498, Acc.floor: 0.8646, Acc.tree: 0.8397, Acc.ceiling: 0.8557, Acc.road: 0.8550, Acc.bed : 0.8794, Acc.windowpane: 0.6782, Acc.grass: 0.7447, Acc.cabinet: 0.6241, Acc.sidewalk: 0.7213, Acc.person: 0.7924, Acc.earth: 0.4003, Acc.door: 0.3415, Acc.table: 0.5260, Acc.mountain: 0.6923, Acc.plant: 0.4717, Acc.curtain: 0.7032, Acc.chair: 0.5216, Acc.car: 0.8533, Acc.water: 0.5715, Acc.painting: 0.6775, Acc.sofa: 0.6940, Acc.shelf: 0.4221, Acc.house: 0.6826, Acc.sea: 0.7472, Acc.mirror: 0.4575, Acc.rug: 0.3993, Acc.field: 0.4311, Acc.armchair: 0.3212, Acc.seat: 0.6697, Acc.fence: 0.1694, Acc.desk: 0.5632, Acc.rock: 0.4748, Acc.wardrobe: 0.5076, Acc.lamp: 0.4764, Acc.bathtub: 0.5569, Acc.railing: 0.4056, Acc.cushion: 0.3802, Acc.base: 0.3800, Acc.box: 0.0954, Acc.column: 0.3368, Acc.signboard: 0.2587, Acc.chest of drawers: 0.3838, Acc.counter: 0.3077, Acc.sand: 0.2532, Acc.sink: 0.5967, Acc.skyscraper: 0.7241, Acc.fireplace: 0.6759, Acc.refrigerator: 0.6564, Acc.grandstand: 0.6193, Acc.path: 0.3016, Acc.stairs: 0.2373, Acc.runway: 0.9282, Acc.case: 0.6596, Acc.pool table: 0.8814, Acc.pillow: 0.3899, Acc.screen door: 0.6323, Acc.stairway: 0.3237, Acc.river: 0.1552, Acc.bridge: 0.3463, Acc.bookcase: 0.3275, Acc.blind: 0.1582, Acc.coffee table: 0.6689, Acc.toilet: 0.7496, Acc.flower: 0.4373, Acc.book: 0.5600, Acc.hill: 0.0528, Acc.bench: 0.4427, Acc.countertop: 0.4499, Acc.stove: 0.6950, Acc.palm: 0.4900, Acc.kitchen island: 0.4010, Acc.computer: 0.6034, Acc.swivel chair: 0.3701, Acc.boat: 0.3979, Acc.bar: 0.1686, Acc.arcade machine: 0.3620, Acc.hovel: 0.5988, Acc.bus: 0.8103, Acc.towel: 0.4120, Acc.light: 0.1414, Acc.truck: 0.1179, Acc.tower: 0.3713, Acc.chandelier: 0.6275, Acc.awning: 0.1583, Acc.streetlight: 0.0447, Acc.booth: 0.3186, Acc.television receiver: 0.6357, Acc.airplane: 0.5404, Acc.dirt track: 0.1691, Acc.apparel: 0.2687, Acc.pole: 0.0247, Acc.land: 0.0017, Acc.bannister: 0.0149, Acc.escalator: 0.2383, Acc.ottoman: 0.0817, Acc.bottle: 0.0456, Acc.buffet: 0.2007, Acc.poster: 0.1105, Acc.stage: 0.1119, Acc.van: 0.1366, Acc.ship: 0.7594, Acc.fountain: 0.1863, Acc.conveyer belt: 0.6361, Acc.canopy: 0.0989, Acc.washer: 0.6191, Acc.plaything: 0.0160, Acc.swimming pool: 0.2963, Acc.stool: 0.0450, Acc.barrel: 0.3197, Acc.basket: 0.1074, Acc.waterfall: 0.3268, Acc.tent: 0.9890, Acc.bag: 0.0120, Acc.minibike: 0.5315, Acc.cradle: 0.7780, Acc.oven: 0.1596, Acc.ball: 0.1538, Acc.food: 0.4827, Acc.step: 0.0466, Acc.tank: 0.3170, Acc.trade name: 0.1925, Acc.microwave: 0.2620, Acc.pot: 0.3293, Acc.animal: 0.4452, Acc.bicycle: 0.4998, Acc.lake: 0.3984, Acc.dishwasher: 0.2221, Acc.screen: 0.6469, Acc.blanket: 0.0098, Acc.sculpture: 0.2596, Acc.hood: 0.3061, Acc.sconce: 0.0575, Acc.vase: 0.1769, Acc.traffic light: 0.1067, Acc.tray: 0.0159, Acc.ashcan: 0.1519, Acc.fan: 0.2699, Acc.pier: 0.7374, Acc.crt screen: 0.0000, Acc.plate: 0.3108, Acc.monitor: 0.0092, Acc.bulletin board: 0.3233, Acc.shower: 0.0000, Acc.radiator: 0.3044, Acc.glass: 0.0055, Acc.clock: 0.0360, Acc.flag: 0.1543
2022-11-04 14:42:18,203 - mmseg - INFO - Iter [48050/80000]	lr: 5.253e-05, eta: 2:56:01, time: 0.496, data_time: 0.184, memory: 9985, decode.loss_ce: 0.5250, decode.acc_seg: 79.8771, aux.loss_ce: 0.3227, aux.acc_seg: 71.4128, loss: 0.8477
2022-11-04 14:42:34,388 - mmseg - INFO - Iter [48100/80000]	lr: 5.246e-05, eta: 2:55:44, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5227, decode.acc_seg: 79.9830, aux.loss_ce: 0.3236, aux.acc_seg: 71.3951, loss: 0.8462
2022-11-04 14:42:50,625 - mmseg - INFO - Iter [48150/80000]	lr: 5.239e-05, eta: 2:55:27, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5212, decode.acc_seg: 80.0753, aux.loss_ce: 0.3260, aux.acc_seg: 71.2619, loss: 0.8472
2022-11-04 14:43:06,788 - mmseg - INFO - Iter [48200/80000]	lr: 5.231e-05, eta: 2:55:11, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5251, decode.acc_seg: 79.5917, aux.loss_ce: 0.3202, aux.acc_seg: 71.3095, loss: 0.8453
2022-11-04 14:43:22,887 - mmseg - INFO - Iter [48250/80000]	lr: 5.224e-05, eta: 2:54:54, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5372, decode.acc_seg: 79.8533, aux.loss_ce: 0.3311, aux.acc_seg: 71.6387, loss: 0.8683
2022-11-04 14:43:39,174 - mmseg - INFO - Iter [48300/80000]	lr: 5.216e-05, eta: 2:54:37, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5150, decode.acc_seg: 80.0706, aux.loss_ce: 0.3225, aux.acc_seg: 71.4842, loss: 0.8375
2022-11-04 14:43:55,372 - mmseg - INFO - Iter [48350/80000]	lr: 5.209e-05, eta: 2:54:20, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5379, decode.acc_seg: 79.3368, aux.loss_ce: 0.3336, aux.acc_seg: 70.6161, loss: 0.8714
2022-11-04 14:44:11,522 - mmseg - INFO - Iter [48400/80000]	lr: 5.202e-05, eta: 2:54:04, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5311, decode.acc_seg: 79.2638, aux.loss_ce: 0.3186, aux.acc_seg: 71.2649, loss: 0.8496
2022-11-04 14:44:27,698 - mmseg - INFO - Iter [48450/80000]	lr: 5.194e-05, eta: 2:53:47, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5296, decode.acc_seg: 80.0241, aux.loss_ce: 0.3267, aux.acc_seg: 71.4178, loss: 0.8563
2022-11-04 14:44:44,116 - mmseg - INFO - Iter [48500/80000]	lr: 5.187e-05, eta: 2:53:30, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5510, decode.acc_seg: 78.9297, aux.loss_ce: 0.3291, aux.acc_seg: 71.0331, loss: 0.8801
2022-11-04 14:45:00,492 - mmseg - INFO - Iter [48550/80000]	lr: 5.179e-05, eta: 2:53:14, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5567, decode.acc_seg: 78.4303, aux.loss_ce: 0.3396, aux.acc_seg: 69.9603, loss: 0.8964
2022-11-04 14:45:19,483 - mmseg - INFO - Iter [48600/80000]	lr: 5.172e-05, eta: 2:52:59, time: 0.380, data_time: 0.054, memory: 9985, decode.loss_ce: 0.5230, decode.acc_seg: 80.2329, aux.loss_ce: 0.3231, aux.acc_seg: 71.8994, loss: 0.8460
2022-11-04 14:45:35,891 - mmseg - INFO - Iter [48650/80000]	lr: 5.164e-05, eta: 2:52:42, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5111, decode.acc_seg: 80.1474, aux.loss_ce: 0.3145, aux.acc_seg: 72.1364, loss: 0.8256
2022-11-04 14:45:51,992 - mmseg - INFO - Iter [48700/80000]	lr: 5.157e-05, eta: 2:52:25, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5166, decode.acc_seg: 79.8623, aux.loss_ce: 0.3169, aux.acc_seg: 71.5511, loss: 0.8334
2022-11-04 14:46:08,146 - mmseg - INFO - Iter [48750/80000]	lr: 5.150e-05, eta: 2:52:09, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5270, decode.acc_seg: 79.8399, aux.loss_ce: 0.3144, aux.acc_seg: 72.6776, loss: 0.8414
2022-11-04 14:46:24,160 - mmseg - INFO - Iter [48800/80000]	lr: 5.142e-05, eta: 2:51:52, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5349, decode.acc_seg: 79.5555, aux.loss_ce: 0.3275, aux.acc_seg: 71.2531, loss: 0.8624
2022-11-04 14:46:40,444 - mmseg - INFO - Iter [48850/80000]	lr: 5.135e-05, eta: 2:51:35, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5204, decode.acc_seg: 79.7387, aux.loss_ce: 0.3252, aux.acc_seg: 71.0968, loss: 0.8456
2022-11-04 14:46:56,491 - mmseg - INFO - Iter [48900/80000]	lr: 5.127e-05, eta: 2:51:18, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5367, decode.acc_seg: 79.2657, aux.loss_ce: 0.3300, aux.acc_seg: 70.8238, loss: 0.8667
2022-11-04 14:47:12,893 - mmseg - INFO - Iter [48950/80000]	lr: 5.120e-05, eta: 2:51:02, time: 0.328, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5317, decode.acc_seg: 79.6915, aux.loss_ce: 0.3313, aux.acc_seg: 71.3764, loss: 0.8630
2022-11-04 14:47:29,350 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 14:47:29,350 - mmseg - INFO - Iter [49000/80000]	lr: 5.113e-05, eta: 2:50:45, time: 0.329, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5180, decode.acc_seg: 79.9175, aux.loss_ce: 0.3188, aux.acc_seg: 71.7284, loss: 0.8369
2022-11-04 14:47:45,269 - mmseg - INFO - Iter [49050/80000]	lr: 5.105e-05, eta: 2:50:28, time: 0.318, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5506, decode.acc_seg: 79.0579, aux.loss_ce: 0.3335, aux.acc_seg: 71.0049, loss: 0.8841
2022-11-04 14:48:01,539 - mmseg - INFO - Iter [49100/80000]	lr: 5.098e-05, eta: 2:50:11, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5519, decode.acc_seg: 79.3068, aux.loss_ce: 0.3370, aux.acc_seg: 70.4411, loss: 0.8889
2022-11-04 14:48:17,845 - mmseg - INFO - Iter [49150/80000]	lr: 5.090e-05, eta: 2:49:55, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5182, decode.acc_seg: 80.4495, aux.loss_ce: 0.3203, aux.acc_seg: 71.7572, loss: 0.8385
2022-11-04 14:48:34,031 - mmseg - INFO - Iter [49200/80000]	lr: 5.083e-05, eta: 2:49:38, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5158, decode.acc_seg: 80.2613, aux.loss_ce: 0.3173, aux.acc_seg: 71.6447, loss: 0.8331
2022-11-04 14:48:52,981 - mmseg - INFO - Iter [49250/80000]	lr: 5.075e-05, eta: 2:49:23, time: 0.379, data_time: 0.068, memory: 9985, decode.loss_ce: 0.5207, decode.acc_seg: 80.0680, aux.loss_ce: 0.3169, aux.acc_seg: 72.1451, loss: 0.8377
2022-11-04 14:49:09,231 - mmseg - INFO - Iter [49300/80000]	lr: 5.068e-05, eta: 2:49:06, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5307, decode.acc_seg: 80.1781, aux.loss_ce: 0.3270, aux.acc_seg: 71.2714, loss: 0.8577
2022-11-04 14:49:25,373 - mmseg - INFO - Iter [49350/80000]	lr: 5.061e-05, eta: 2:48:50, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5043, decode.acc_seg: 80.3022, aux.loss_ce: 0.3139, aux.acc_seg: 71.9814, loss: 0.8181
2022-11-04 14:49:41,445 - mmseg - INFO - Iter [49400/80000]	lr: 5.053e-05, eta: 2:48:33, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5134, decode.acc_seg: 80.4954, aux.loss_ce: 0.3122, aux.acc_seg: 72.7555, loss: 0.8257
2022-11-04 14:49:57,446 - mmseg - INFO - Iter [49450/80000]	lr: 5.046e-05, eta: 2:48:16, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5361, decode.acc_seg: 79.4663, aux.loss_ce: 0.3256, aux.acc_seg: 71.3197, loss: 0.8617
2022-11-04 14:50:13,384 - mmseg - INFO - Iter [49500/80000]	lr: 5.038e-05, eta: 2:47:59, time: 0.319, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5278, decode.acc_seg: 79.7459, aux.loss_ce: 0.3270, aux.acc_seg: 71.6740, loss: 0.8548
2022-11-04 14:50:29,463 - mmseg - INFO - Iter [49550/80000]	lr: 5.031e-05, eta: 2:47:42, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5394, decode.acc_seg: 79.1781, aux.loss_ce: 0.3312, aux.acc_seg: 70.7833, loss: 0.8706
2022-11-04 14:50:45,717 - mmseg - INFO - Iter [49600/80000]	lr: 5.023e-05, eta: 2:47:25, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5296, decode.acc_seg: 79.2452, aux.loss_ce: 0.3170, aux.acc_seg: 71.7140, loss: 0.8465
2022-11-04 14:51:01,769 - mmseg - INFO - Iter [49650/80000]	lr: 5.016e-05, eta: 2:47:09, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5260, decode.acc_seg: 80.0231, aux.loss_ce: 0.3237, aux.acc_seg: 71.6445, loss: 0.8497
2022-11-04 14:51:17,848 - mmseg - INFO - Iter [49700/80000]	lr: 5.009e-05, eta: 2:46:52, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5219, decode.acc_seg: 79.7396, aux.loss_ce: 0.3208, aux.acc_seg: 71.4623, loss: 0.8427
2022-11-04 14:51:33,932 - mmseg - INFO - Iter [49750/80000]	lr: 5.001e-05, eta: 2:46:35, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5460, decode.acc_seg: 79.0698, aux.loss_ce: 0.3388, aux.acc_seg: 70.1341, loss: 0.8848
2022-11-04 14:51:50,193 - mmseg - INFO - Iter [49800/80000]	lr: 4.994e-05, eta: 2:46:18, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5181, decode.acc_seg: 80.3105, aux.loss_ce: 0.3221, aux.acc_seg: 71.1200, loss: 0.8402
2022-11-04 14:52:09,036 - mmseg - INFO - Iter [49850/80000]	lr: 4.986e-05, eta: 2:46:03, time: 0.376, data_time: 0.062, memory: 9985, decode.loss_ce: 0.5094, decode.acc_seg: 80.2694, aux.loss_ce: 0.3191, aux.acc_seg: 71.9503, loss: 0.8285
2022-11-04 14:52:25,158 - mmseg - INFO - Iter [49900/80000]	lr: 4.979e-05, eta: 2:45:47, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5156, decode.acc_seg: 80.3587, aux.loss_ce: 0.3256, aux.acc_seg: 71.6792, loss: 0.8412
2022-11-04 14:52:41,695 - mmseg - INFO - Iter [49950/80000]	lr: 4.971e-05, eta: 2:45:30, time: 0.331, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4973, decode.acc_seg: 80.7107, aux.loss_ce: 0.3073, aux.acc_seg: 72.2679, loss: 0.8047
2022-11-04 14:52:58,004 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 14:52:58,005 - mmseg - INFO - Iter [50000/80000]	lr: 4.964e-05, eta: 2:45:13, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5176, decode.acc_seg: 79.7032, aux.loss_ce: 0.3216, aux.acc_seg: 71.1517, loss: 0.8392
2022-11-04 14:53:14,036 - mmseg - INFO - Iter [50050/80000]	lr: 4.956e-05, eta: 2:44:57, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5188, decode.acc_seg: 80.1241, aux.loss_ce: 0.3237, aux.acc_seg: 71.4613, loss: 0.8425
2022-11-04 14:53:30,155 - mmseg - INFO - Iter [50100/80000]	lr: 4.949e-05, eta: 2:44:40, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5272, decode.acc_seg: 79.7662, aux.loss_ce: 0.3263, aux.acc_seg: 71.1257, loss: 0.8535
2022-11-04 14:53:46,193 - mmseg - INFO - Iter [50150/80000]	lr: 4.942e-05, eta: 2:44:23, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5256, decode.acc_seg: 80.1687, aux.loss_ce: 0.3277, aux.acc_seg: 71.2106, loss: 0.8532
2022-11-04 14:54:02,146 - mmseg - INFO - Iter [50200/80000]	lr: 4.934e-05, eta: 2:44:06, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5256, decode.acc_seg: 80.0891, aux.loss_ce: 0.3194, aux.acc_seg: 72.1852, loss: 0.8450
2022-11-04 14:54:18,084 - mmseg - INFO - Iter [50250/80000]	lr: 4.927e-05, eta: 2:43:49, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5170, decode.acc_seg: 79.8292, aux.loss_ce: 0.3217, aux.acc_seg: 70.9049, loss: 0.8387
2022-11-04 14:54:34,580 - mmseg - INFO - Iter [50300/80000]	lr: 4.919e-05, eta: 2:43:33, time: 0.330, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5503, decode.acc_seg: 79.1889, aux.loss_ce: 0.3385, aux.acc_seg: 70.4872, loss: 0.8888
2022-11-04 14:54:50,896 - mmseg - INFO - Iter [50350/80000]	lr: 4.912e-05, eta: 2:43:16, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5264, decode.acc_seg: 79.5439, aux.loss_ce: 0.3284, aux.acc_seg: 70.6775, loss: 0.8548
2022-11-04 14:55:07,261 - mmseg - INFO - Iter [50400/80000]	lr: 4.904e-05, eta: 2:42:59, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5293, decode.acc_seg: 80.0987, aux.loss_ce: 0.3218, aux.acc_seg: 71.9895, loss: 0.8511
2022-11-04 14:55:23,515 - mmseg - INFO - Iter [50450/80000]	lr: 4.897e-05, eta: 2:42:43, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5429, decode.acc_seg: 79.3015, aux.loss_ce: 0.3263, aux.acc_seg: 71.3857, loss: 0.8693
2022-11-04 14:55:42,596 - mmseg - INFO - Iter [50500/80000]	lr: 4.889e-05, eta: 2:42:28, time: 0.382, data_time: 0.064, memory: 9985, decode.loss_ce: 0.5301, decode.acc_seg: 79.6139, aux.loss_ce: 0.3290, aux.acc_seg: 70.9015, loss: 0.8591
2022-11-04 14:55:58,856 - mmseg - INFO - Iter [50550/80000]	lr: 4.882e-05, eta: 2:42:11, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5181, decode.acc_seg: 80.3239, aux.loss_ce: 0.3198, aux.acc_seg: 72.1757, loss: 0.8379
2022-11-04 14:56:14,992 - mmseg - INFO - Iter [50600/80000]	lr: 4.874e-05, eta: 2:41:54, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5327, decode.acc_seg: 79.7075, aux.loss_ce: 0.3282, aux.acc_seg: 71.2461, loss: 0.8609
2022-11-04 14:56:31,297 - mmseg - INFO - Iter [50650/80000]	lr: 4.867e-05, eta: 2:41:38, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5322, decode.acc_seg: 79.8963, aux.loss_ce: 0.3305, aux.acc_seg: 70.7451, loss: 0.8627
2022-11-04 14:56:47,473 - mmseg - INFO - Iter [50700/80000]	lr: 4.860e-05, eta: 2:41:21, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5119, decode.acc_seg: 80.3110, aux.loss_ce: 0.3196, aux.acc_seg: 71.8925, loss: 0.8315
2022-11-04 14:57:03,637 - mmseg - INFO - Iter [50750/80000]	lr: 4.852e-05, eta: 2:41:04, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5276, decode.acc_seg: 80.0139, aux.loss_ce: 0.3274, aux.acc_seg: 71.4598, loss: 0.8550
2022-11-04 14:57:19,698 - mmseg - INFO - Iter [50800/80000]	lr: 4.845e-05, eta: 2:40:47, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5368, decode.acc_seg: 79.4179, aux.loss_ce: 0.3217, aux.acc_seg: 71.3457, loss: 0.8585
2022-11-04 14:57:35,866 - mmseg - INFO - Iter [50850/80000]	lr: 4.837e-05, eta: 2:40:31, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5392, decode.acc_seg: 79.5096, aux.loss_ce: 0.3244, aux.acc_seg: 71.7024, loss: 0.8636
2022-11-04 14:57:52,060 - mmseg - INFO - Iter [50900/80000]	lr: 4.830e-05, eta: 2:40:14, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5155, decode.acc_seg: 80.0034, aux.loss_ce: 0.3196, aux.acc_seg: 71.6049, loss: 0.8351
2022-11-04 14:58:08,093 - mmseg - INFO - Iter [50950/80000]	lr: 4.822e-05, eta: 2:39:57, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5184, decode.acc_seg: 80.0946, aux.loss_ce: 0.3231, aux.acc_seg: 71.5581, loss: 0.8415
2022-11-04 14:58:24,124 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 14:58:24,124 - mmseg - INFO - Iter [51000/80000]	lr: 4.815e-05, eta: 2:39:40, time: 0.321, data_time: 0.008, memory: 9985, decode.loss_ce: 0.5145, decode.acc_seg: 80.0987, aux.loss_ce: 0.3203, aux.acc_seg: 71.1375, loss: 0.8347
2022-11-04 14:58:40,685 - mmseg - INFO - Iter [51050/80000]	lr: 4.807e-05, eta: 2:39:24, time: 0.331, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5280, decode.acc_seg: 79.7504, aux.loss_ce: 0.3321, aux.acc_seg: 70.9825, loss: 0.8600
2022-11-04 14:58:57,026 - mmseg - INFO - Iter [51100/80000]	lr: 4.800e-05, eta: 2:39:07, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5157, decode.acc_seg: 80.1433, aux.loss_ce: 0.3168, aux.acc_seg: 71.6529, loss: 0.8325
2022-11-04 14:59:16,061 - mmseg - INFO - Iter [51150/80000]	lr: 4.792e-05, eta: 2:38:52, time: 0.381, data_time: 0.063, memory: 9985, decode.loss_ce: 0.5182, decode.acc_seg: 80.1967, aux.loss_ce: 0.3132, aux.acc_seg: 72.4789, loss: 0.8314
2022-11-04 14:59:32,015 - mmseg - INFO - Iter [51200/80000]	lr: 4.785e-05, eta: 2:38:35, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5213, decode.acc_seg: 79.8186, aux.loss_ce: 0.3238, aux.acc_seg: 71.4218, loss: 0.8452
2022-11-04 14:59:47,723 - mmseg - INFO - Iter [51250/80000]	lr: 4.777e-05, eta: 2:38:18, time: 0.314, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5326, decode.acc_seg: 79.7524, aux.loss_ce: 0.3320, aux.acc_seg: 71.0857, loss: 0.8647
2022-11-04 15:00:03,903 - mmseg - INFO - Iter [51300/80000]	lr: 4.770e-05, eta: 2:38:02, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5040, decode.acc_seg: 80.2920, aux.loss_ce: 0.3124, aux.acc_seg: 72.0012, loss: 0.8164
2022-11-04 15:00:20,123 - mmseg - INFO - Iter [51350/80000]	lr: 4.762e-05, eta: 2:37:45, time: 0.324, data_time: 0.011, memory: 9985, decode.loss_ce: 0.5130, decode.acc_seg: 80.1670, aux.loss_ce: 0.3207, aux.acc_seg: 71.6832, loss: 0.8338
2022-11-04 15:00:36,179 - mmseg - INFO - Iter [51400/80000]	lr: 4.755e-05, eta: 2:37:28, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5324, decode.acc_seg: 79.7420, aux.loss_ce: 0.3286, aux.acc_seg: 71.1554, loss: 0.8610
2022-11-04 15:00:52,437 - mmseg - INFO - Iter [51450/80000]	lr: 4.747e-05, eta: 2:37:12, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5075, decode.acc_seg: 80.5608, aux.loss_ce: 0.3181, aux.acc_seg: 71.7361, loss: 0.8256
2022-11-04 15:01:08,793 - mmseg - INFO - Iter [51500/80000]	lr: 4.740e-05, eta: 2:36:55, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5303, decode.acc_seg: 80.1048, aux.loss_ce: 0.3252, aux.acc_seg: 71.9576, loss: 0.8555
2022-11-04 15:01:24,962 - mmseg - INFO - Iter [51550/80000]	lr: 4.732e-05, eta: 2:36:38, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5057, decode.acc_seg: 80.4419, aux.loss_ce: 0.3135, aux.acc_seg: 72.2199, loss: 0.8192
2022-11-04 15:01:40,981 - mmseg - INFO - Iter [51600/80000]	lr: 4.725e-05, eta: 2:36:21, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5282, decode.acc_seg: 79.8403, aux.loss_ce: 0.3259, aux.acc_seg: 71.3073, loss: 0.8541
2022-11-04 15:01:57,342 - mmseg - INFO - Iter [51650/80000]	lr: 4.717e-05, eta: 2:36:05, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5327, decode.acc_seg: 79.9239, aux.loss_ce: 0.3288, aux.acc_seg: 71.3390, loss: 0.8614
2022-11-04 15:02:13,618 - mmseg - INFO - Iter [51700/80000]	lr: 4.710e-05, eta: 2:35:48, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5163, decode.acc_seg: 80.0264, aux.loss_ce: 0.3199, aux.acc_seg: 71.5632, loss: 0.8362
2022-11-04 15:02:32,840 - mmseg - INFO - Iter [51750/80000]	lr: 4.703e-05, eta: 2:35:33, time: 0.384, data_time: 0.065, memory: 9985, decode.loss_ce: 0.5206, decode.acc_seg: 79.7141, aux.loss_ce: 0.3204, aux.acc_seg: 71.4462, loss: 0.8410
2022-11-04 15:02:48,823 - mmseg - INFO - Iter [51800/80000]	lr: 4.695e-05, eta: 2:35:16, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5255, decode.acc_seg: 79.9874, aux.loss_ce: 0.3244, aux.acc_seg: 71.3502, loss: 0.8499
2022-11-04 15:03:04,760 - mmseg - INFO - Iter [51850/80000]	lr: 4.688e-05, eta: 2:35:00, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5238, decode.acc_seg: 80.1094, aux.loss_ce: 0.3289, aux.acc_seg: 71.3676, loss: 0.8527
2022-11-04 15:03:20,929 - mmseg - INFO - Iter [51900/80000]	lr: 4.680e-05, eta: 2:34:43, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5231, decode.acc_seg: 79.9239, aux.loss_ce: 0.3242, aux.acc_seg: 71.0807, loss: 0.8473
2022-11-04 15:03:37,213 - mmseg - INFO - Iter [51950/80000]	lr: 4.673e-05, eta: 2:34:26, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5261, decode.acc_seg: 80.0456, aux.loss_ce: 0.3192, aux.acc_seg: 72.0933, loss: 0.8453
2022-11-04 15:03:53,599 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 15:03:53,599 - mmseg - INFO - Iter [52000/80000]	lr: 4.665e-05, eta: 2:34:10, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5168, decode.acc_seg: 79.9956, aux.loss_ce: 0.3165, aux.acc_seg: 71.7642, loss: 0.8333
2022-11-04 15:04:09,872 - mmseg - INFO - Iter [52050/80000]	lr: 4.658e-05, eta: 2:33:53, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5189, decode.acc_seg: 79.9751, aux.loss_ce: 0.3229, aux.acc_seg: 71.5049, loss: 0.8418
2022-11-04 15:04:26,068 - mmseg - INFO - Iter [52100/80000]	lr: 4.650e-05, eta: 2:33:36, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5145, decode.acc_seg: 80.1415, aux.loss_ce: 0.3220, aux.acc_seg: 71.7449, loss: 0.8365
2022-11-04 15:04:42,168 - mmseg - INFO - Iter [52150/80000]	lr: 4.643e-05, eta: 2:33:19, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5353, decode.acc_seg: 79.7020, aux.loss_ce: 0.3282, aux.acc_seg: 71.0885, loss: 0.8636
2022-11-04 15:04:58,384 - mmseg - INFO - Iter [52200/80000]	lr: 4.635e-05, eta: 2:33:03, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4967, decode.acc_seg: 80.9200, aux.loss_ce: 0.3063, aux.acc_seg: 72.7738, loss: 0.8030
2022-11-04 15:05:14,584 - mmseg - INFO - Iter [52250/80000]	lr: 4.628e-05, eta: 2:32:46, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5232, decode.acc_seg: 79.6879, aux.loss_ce: 0.3191, aux.acc_seg: 71.1763, loss: 0.8423
2022-11-04 15:05:30,750 - mmseg - INFO - Iter [52300/80000]	lr: 4.620e-05, eta: 2:32:29, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5136, decode.acc_seg: 80.0642, aux.loss_ce: 0.3129, aux.acc_seg: 72.0143, loss: 0.8265
2022-11-04 15:05:46,890 - mmseg - INFO - Iter [52350/80000]	lr: 4.613e-05, eta: 2:32:13, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5273, decode.acc_seg: 79.8745, aux.loss_ce: 0.3340, aux.acc_seg: 70.8826, loss: 0.8613
2022-11-04 15:06:05,896 - mmseg - INFO - Iter [52400/80000]	lr: 4.605e-05, eta: 2:31:57, time: 0.380, data_time: 0.062, memory: 9985, decode.loss_ce: 0.5092, decode.acc_seg: 80.2567, aux.loss_ce: 0.3111, aux.acc_seg: 72.7108, loss: 0.8202
2022-11-04 15:06:21,973 - mmseg - INFO - Iter [52450/80000]	lr: 4.598e-05, eta: 2:31:41, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5242, decode.acc_seg: 79.9862, aux.loss_ce: 0.3214, aux.acc_seg: 71.6294, loss: 0.8456
2022-11-04 15:06:38,150 - mmseg - INFO - Iter [52500/80000]	lr: 4.590e-05, eta: 2:31:24, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5171, decode.acc_seg: 80.1377, aux.loss_ce: 0.3234, aux.acc_seg: 71.9915, loss: 0.8406
2022-11-04 15:06:54,244 - mmseg - INFO - Iter [52550/80000]	lr: 4.583e-05, eta: 2:31:07, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5127, decode.acc_seg: 80.5323, aux.loss_ce: 0.3153, aux.acc_seg: 72.1042, loss: 0.8280
2022-11-04 15:07:10,338 - mmseg - INFO - Iter [52600/80000]	lr: 4.575e-05, eta: 2:30:51, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5154, decode.acc_seg: 80.4458, aux.loss_ce: 0.3190, aux.acc_seg: 72.1184, loss: 0.8343
2022-11-04 15:07:26,477 - mmseg - INFO - Iter [52650/80000]	lr: 4.567e-05, eta: 2:30:34, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5084, decode.acc_seg: 80.6064, aux.loss_ce: 0.3194, aux.acc_seg: 71.8690, loss: 0.8279
2022-11-04 15:07:42,660 - mmseg - INFO - Iter [52700/80000]	lr: 4.560e-05, eta: 2:30:17, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5201, decode.acc_seg: 79.9677, aux.loss_ce: 0.3307, aux.acc_seg: 70.6689, loss: 0.8507
2022-11-04 15:07:58,907 - mmseg - INFO - Iter [52750/80000]	lr: 4.552e-05, eta: 2:30:01, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5115, decode.acc_seg: 80.2364, aux.loss_ce: 0.3156, aux.acc_seg: 72.0737, loss: 0.8271
2022-11-04 15:08:15,157 - mmseg - INFO - Iter [52800/80000]	lr: 4.545e-05, eta: 2:29:44, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5105, decode.acc_seg: 80.3259, aux.loss_ce: 0.3169, aux.acc_seg: 71.7346, loss: 0.8275
2022-11-04 15:08:31,517 - mmseg - INFO - Iter [52850/80000]	lr: 4.537e-05, eta: 2:29:27, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5275, decode.acc_seg: 79.8949, aux.loss_ce: 0.3290, aux.acc_seg: 71.1027, loss: 0.8565
2022-11-04 15:08:47,714 - mmseg - INFO - Iter [52900/80000]	lr: 4.530e-05, eta: 2:29:11, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5341, decode.acc_seg: 79.4450, aux.loss_ce: 0.3353, aux.acc_seg: 70.4660, loss: 0.8694
2022-11-04 15:09:03,903 - mmseg - INFO - Iter [52950/80000]	lr: 4.522e-05, eta: 2:28:54, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5289, decode.acc_seg: 79.5700, aux.loss_ce: 0.3259, aux.acc_seg: 71.0926, loss: 0.8548
2022-11-04 15:09:20,077 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 15:09:20,078 - mmseg - INFO - Iter [53000/80000]	lr: 4.515e-05, eta: 2:28:37, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5271, decode.acc_seg: 79.4996, aux.loss_ce: 0.3331, aux.acc_seg: 70.4196, loss: 0.8602
2022-11-04 15:09:39,414 - mmseg - INFO - Iter [53050/80000]	lr: 4.507e-05, eta: 2:28:22, time: 0.387, data_time: 0.062, memory: 9985, decode.loss_ce: 0.5230, decode.acc_seg: 80.0321, aux.loss_ce: 0.3207, aux.acc_seg: 71.2007, loss: 0.8437
2022-11-04 15:09:55,541 - mmseg - INFO - Iter [53100/80000]	lr: 4.500e-05, eta: 2:28:05, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5046, decode.acc_seg: 80.7064, aux.loss_ce: 0.3152, aux.acc_seg: 72.2404, loss: 0.8198
2022-11-04 15:10:11,656 - mmseg - INFO - Iter [53150/80000]	lr: 4.492e-05, eta: 2:27:49, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5201, decode.acc_seg: 79.8634, aux.loss_ce: 0.3231, aux.acc_seg: 71.7461, loss: 0.8432
2022-11-04 15:10:27,800 - mmseg - INFO - Iter [53200/80000]	lr: 4.485e-05, eta: 2:27:32, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5097, decode.acc_seg: 80.6425, aux.loss_ce: 0.3235, aux.acc_seg: 71.1764, loss: 0.8332
2022-11-04 15:10:44,020 - mmseg - INFO - Iter [53250/80000]	lr: 4.477e-05, eta: 2:27:15, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5080, decode.acc_seg: 80.4362, aux.loss_ce: 0.3070, aux.acc_seg: 72.6705, loss: 0.8151
2022-11-04 15:11:00,182 - mmseg - INFO - Iter [53300/80000]	lr: 4.470e-05, eta: 2:26:59, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5226, decode.acc_seg: 80.3848, aux.loss_ce: 0.3155, aux.acc_seg: 72.4032, loss: 0.8381
2022-11-04 15:11:16,375 - mmseg - INFO - Iter [53350/80000]	lr: 4.462e-05, eta: 2:26:42, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5294, decode.acc_seg: 80.3552, aux.loss_ce: 0.3331, aux.acc_seg: 71.4247, loss: 0.8625
2022-11-04 15:11:32,362 - mmseg - INFO - Iter [53400/80000]	lr: 4.455e-05, eta: 2:26:25, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5210, decode.acc_seg: 79.9723, aux.loss_ce: 0.3275, aux.acc_seg: 71.3066, loss: 0.8485
2022-11-04 15:11:48,704 - mmseg - INFO - Iter [53450/80000]	lr: 4.447e-05, eta: 2:26:09, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5292, decode.acc_seg: 79.5353, aux.loss_ce: 0.3298, aux.acc_seg: 70.8121, loss: 0.8590
2022-11-04 15:12:04,791 - mmseg - INFO - Iter [53500/80000]	lr: 4.440e-05, eta: 2:25:52, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5283, decode.acc_seg: 79.7655, aux.loss_ce: 0.3280, aux.acc_seg: 70.9477, loss: 0.8563
2022-11-04 15:12:21,057 - mmseg - INFO - Iter [53550/80000]	lr: 4.432e-05, eta: 2:25:35, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5242, decode.acc_seg: 79.6644, aux.loss_ce: 0.3241, aux.acc_seg: 71.1222, loss: 0.8483
2022-11-04 15:12:37,565 - mmseg - INFO - Iter [53600/80000]	lr: 4.424e-05, eta: 2:25:19, time: 0.330, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5031, decode.acc_seg: 80.8601, aux.loss_ce: 0.3113, aux.acc_seg: 72.5616, loss: 0.8144
2022-11-04 15:12:56,754 - mmseg - INFO - Iter [53650/80000]	lr: 4.417e-05, eta: 2:25:04, time: 0.384, data_time: 0.070, memory: 9985, decode.loss_ce: 0.5108, decode.acc_seg: 80.3917, aux.loss_ce: 0.3239, aux.acc_seg: 71.8459, loss: 0.8347
2022-11-04 15:13:12,947 - mmseg - INFO - Iter [53700/80000]	lr: 4.409e-05, eta: 2:24:47, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5035, decode.acc_seg: 80.6748, aux.loss_ce: 0.3236, aux.acc_seg: 71.5497, loss: 0.8271
2022-11-04 15:13:29,095 - mmseg - INFO - Iter [53750/80000]	lr: 4.402e-05, eta: 2:24:30, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4955, decode.acc_seg: 80.5251, aux.loss_ce: 0.3103, aux.acc_seg: 72.3451, loss: 0.8058
2022-11-04 15:13:46,472 - mmseg - INFO - Iter [53800/80000]	lr: 4.394e-05, eta: 2:24:14, time: 0.348, data_time: 0.027, memory: 9985, decode.loss_ce: 0.5216, decode.acc_seg: 80.2598, aux.loss_ce: 0.3270, aux.acc_seg: 71.5499, loss: 0.8486
2022-11-04 15:14:02,511 - mmseg - INFO - Iter [53850/80000]	lr: 4.387e-05, eta: 2:23:57, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4901, decode.acc_seg: 80.7840, aux.loss_ce: 0.3046, aux.acc_seg: 72.7141, loss: 0.7947
2022-11-04 15:14:18,594 - mmseg - INFO - Iter [53900/80000]	lr: 4.379e-05, eta: 2:23:41, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5325, decode.acc_seg: 80.0226, aux.loss_ce: 0.3258, aux.acc_seg: 71.6442, loss: 0.8583
2022-11-04 15:14:34,576 - mmseg - INFO - Iter [53950/80000]	lr: 4.372e-05, eta: 2:23:24, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5252, decode.acc_seg: 79.7455, aux.loss_ce: 0.3317, aux.acc_seg: 70.9207, loss: 0.8569
2022-11-04 15:14:51,158 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 15:14:51,159 - mmseg - INFO - Iter [54000/80000]	lr: 4.364e-05, eta: 2:23:07, time: 0.332, data_time: 0.019, memory: 9985, decode.loss_ce: 0.5060, decode.acc_seg: 80.5111, aux.loss_ce: 0.3176, aux.acc_seg: 71.8387, loss: 0.8236
2022-11-04 15:15:07,533 - mmseg - INFO - Iter [54050/80000]	lr: 4.357e-05, eta: 2:22:51, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5134, decode.acc_seg: 80.1733, aux.loss_ce: 0.3169, aux.acc_seg: 71.5979, loss: 0.8304
2022-11-04 15:15:23,680 - mmseg - INFO - Iter [54100/80000]	lr: 4.349e-05, eta: 2:22:34, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4929, decode.acc_seg: 80.8194, aux.loss_ce: 0.3127, aux.acc_seg: 72.0096, loss: 0.8056
2022-11-04 15:15:40,042 - mmseg - INFO - Iter [54150/80000]	lr: 4.341e-05, eta: 2:22:17, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5057, decode.acc_seg: 80.4817, aux.loss_ce: 0.3189, aux.acc_seg: 71.8350, loss: 0.8246
2022-11-04 15:15:56,118 - mmseg - INFO - Iter [54200/80000]	lr: 4.334e-05, eta: 2:22:01, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5199, decode.acc_seg: 79.9235, aux.loss_ce: 0.3201, aux.acc_seg: 71.6487, loss: 0.8400
2022-11-04 15:16:12,297 - mmseg - INFO - Iter [54250/80000]	lr: 4.326e-05, eta: 2:21:44, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5164, decode.acc_seg: 79.9589, aux.loss_ce: 0.3193, aux.acc_seg: 71.3905, loss: 0.8358
2022-11-04 15:16:31,383 - mmseg - INFO - Iter [54300/80000]	lr: 4.319e-05, eta: 2:21:29, time: 0.382, data_time: 0.067, memory: 9985, decode.loss_ce: 0.4930, decode.acc_seg: 80.8300, aux.loss_ce: 0.3110, aux.acc_seg: 71.9252, loss: 0.8041
2022-11-04 15:16:47,685 - mmseg - INFO - Iter [54350/80000]	lr: 4.311e-05, eta: 2:21:12, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5139, decode.acc_seg: 80.0455, aux.loss_ce: 0.3221, aux.acc_seg: 71.3310, loss: 0.8360
2022-11-04 15:17:03,941 - mmseg - INFO - Iter [54400/80000]	lr: 4.304e-05, eta: 2:20:56, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5210, decode.acc_seg: 80.1890, aux.loss_ce: 0.3262, aux.acc_seg: 71.7581, loss: 0.8472
2022-11-04 15:17:20,202 - mmseg - INFO - Iter [54450/80000]	lr: 4.296e-05, eta: 2:20:39, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5270, decode.acc_seg: 79.6662, aux.loss_ce: 0.3277, aux.acc_seg: 70.8079, loss: 0.8547
2022-11-04 15:17:36,096 - mmseg - INFO - Iter [54500/80000]	lr: 4.288e-05, eta: 2:20:22, time: 0.318, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5017, decode.acc_seg: 80.6148, aux.loss_ce: 0.3071, aux.acc_seg: 72.2656, loss: 0.8088
2022-11-04 15:17:52,499 - mmseg - INFO - Iter [54550/80000]	lr: 4.281e-05, eta: 2:20:05, time: 0.328, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5069, decode.acc_seg: 80.3998, aux.loss_ce: 0.3152, aux.acc_seg: 72.0903, loss: 0.8221
2022-11-04 15:18:08,586 - mmseg - INFO - Iter [54600/80000]	lr: 4.273e-05, eta: 2:19:49, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5269, decode.acc_seg: 79.3708, aux.loss_ce: 0.3258, aux.acc_seg: 70.9370, loss: 0.8527
2022-11-04 15:18:24,568 - mmseg - INFO - Iter [54650/80000]	lr: 4.266e-05, eta: 2:19:32, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4972, decode.acc_seg: 80.9484, aux.loss_ce: 0.3086, aux.acc_seg: 72.7509, loss: 0.8058
2022-11-04 15:18:40,720 - mmseg - INFO - Iter [54700/80000]	lr: 4.258e-05, eta: 2:19:15, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5100, decode.acc_seg: 80.2386, aux.loss_ce: 0.3077, aux.acc_seg: 72.6359, loss: 0.8177
2022-11-04 15:18:56,835 - mmseg - INFO - Iter [54750/80000]	lr: 4.251e-05, eta: 2:18:59, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5362, decode.acc_seg: 79.4833, aux.loss_ce: 0.3295, aux.acc_seg: 71.0631, loss: 0.8658
2022-11-04 15:19:12,947 - mmseg - INFO - Iter [54800/80000]	lr: 4.243e-05, eta: 2:18:42, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5196, decode.acc_seg: 80.2243, aux.loss_ce: 0.3150, aux.acc_seg: 72.3822, loss: 0.8346
2022-11-04 15:19:29,028 - mmseg - INFO - Iter [54850/80000]	lr: 4.235e-05, eta: 2:18:25, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5065, decode.acc_seg: 80.3561, aux.loss_ce: 0.3175, aux.acc_seg: 71.6224, loss: 0.8240
2022-11-04 15:19:48,201 - mmseg - INFO - Iter [54900/80000]	lr: 4.228e-05, eta: 2:18:10, time: 0.383, data_time: 0.070, memory: 9985, decode.loss_ce: 0.5166, decode.acc_seg: 80.2314, aux.loss_ce: 0.3256, aux.acc_seg: 71.2301, loss: 0.8423
2022-11-04 15:20:04,667 - mmseg - INFO - Iter [54950/80000]	lr: 4.220e-05, eta: 2:17:53, time: 0.329, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5251, decode.acc_seg: 80.1518, aux.loss_ce: 0.3277, aux.acc_seg: 71.5582, loss: 0.8528
2022-11-04 15:20:20,963 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 15:20:20,964 - mmseg - INFO - Iter [55000/80000]	lr: 4.213e-05, eta: 2:17:37, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5207, decode.acc_seg: 79.8871, aux.loss_ce: 0.3227, aux.acc_seg: 71.7208, loss: 0.8434
2022-11-04 15:20:37,056 - mmseg - INFO - Iter [55050/80000]	lr: 4.205e-05, eta: 2:17:20, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5334, decode.acc_seg: 79.8416, aux.loss_ce: 0.3322, aux.acc_seg: 71.0198, loss: 0.8656
2022-11-04 15:20:52,985 - mmseg - INFO - Iter [55100/80000]	lr: 4.198e-05, eta: 2:17:03, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4980, decode.acc_seg: 80.5653, aux.loss_ce: 0.3066, aux.acc_seg: 72.1863, loss: 0.8046
2022-11-04 15:21:09,175 - mmseg - INFO - Iter [55150/80000]	lr: 4.190e-05, eta: 2:16:47, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5101, decode.acc_seg: 80.4165, aux.loss_ce: 0.3097, aux.acc_seg: 72.3675, loss: 0.8199
2022-11-04 15:21:25,441 - mmseg - INFO - Iter [55200/80000]	lr: 4.182e-05, eta: 2:16:30, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5116, decode.acc_seg: 80.4793, aux.loss_ce: 0.3234, aux.acc_seg: 71.6263, loss: 0.8350
2022-11-04 15:21:41,509 - mmseg - INFO - Iter [55250/80000]	lr: 4.175e-05, eta: 2:16:13, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5081, decode.acc_seg: 80.1941, aux.loss_ce: 0.3142, aux.acc_seg: 71.8488, loss: 0.8223
2022-11-04 15:21:57,560 - mmseg - INFO - Iter [55300/80000]	lr: 4.167e-05, eta: 2:15:57, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5018, decode.acc_seg: 80.7204, aux.loss_ce: 0.3214, aux.acc_seg: 71.6292, loss: 0.8231
2022-11-04 15:22:13,929 - mmseg - INFO - Iter [55350/80000]	lr: 4.160e-05, eta: 2:15:40, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5128, decode.acc_seg: 80.3161, aux.loss_ce: 0.3245, aux.acc_seg: 71.5433, loss: 0.8372
2022-11-04 15:22:30,592 - mmseg - INFO - Iter [55400/80000]	lr: 4.152e-05, eta: 2:15:24, time: 0.333, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5051, decode.acc_seg: 80.7554, aux.loss_ce: 0.3172, aux.acc_seg: 72.0483, loss: 0.8223
2022-11-04 15:22:46,768 - mmseg - INFO - Iter [55450/80000]	lr: 4.144e-05, eta: 2:15:07, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5135, decode.acc_seg: 80.3556, aux.loss_ce: 0.3216, aux.acc_seg: 71.6911, loss: 0.8351
2022-11-04 15:23:03,126 - mmseg - INFO - Iter [55500/80000]	lr: 4.137e-05, eta: 2:14:50, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4922, decode.acc_seg: 81.3916, aux.loss_ce: 0.3039, aux.acc_seg: 73.2310, loss: 0.7961
2022-11-04 15:23:22,100 - mmseg - INFO - Iter [55550/80000]	lr: 4.129e-05, eta: 2:14:35, time: 0.379, data_time: 0.067, memory: 9985, decode.loss_ce: 0.4927, decode.acc_seg: 80.7570, aux.loss_ce: 0.3186, aux.acc_seg: 71.6427, loss: 0.8113
2022-11-04 15:23:38,343 - mmseg - INFO - Iter [55600/80000]	lr: 4.122e-05, eta: 2:14:18, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5067, decode.acc_seg: 80.3989, aux.loss_ce: 0.3190, aux.acc_seg: 71.5473, loss: 0.8257
2022-11-04 15:23:54,564 - mmseg - INFO - Iter [55650/80000]	lr: 4.114e-05, eta: 2:14:02, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5026, decode.acc_seg: 80.5149, aux.loss_ce: 0.3181, aux.acc_seg: 72.0365, loss: 0.8207
2022-11-04 15:24:10,582 - mmseg - INFO - Iter [55700/80000]	lr: 4.106e-05, eta: 2:13:45, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5282, decode.acc_seg: 79.9364, aux.loss_ce: 0.3187, aux.acc_seg: 71.7179, loss: 0.8469
2022-11-04 15:24:26,676 - mmseg - INFO - Iter [55750/80000]	lr: 4.099e-05, eta: 2:13:28, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4890, decode.acc_seg: 81.0250, aux.loss_ce: 0.3105, aux.acc_seg: 72.4954, loss: 0.7995
2022-11-04 15:24:42,660 - mmseg - INFO - Iter [55800/80000]	lr: 4.091e-05, eta: 2:13:11, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5004, decode.acc_seg: 80.5950, aux.loss_ce: 0.3113, aux.acc_seg: 72.7098, loss: 0.8117
2022-11-04 15:24:58,688 - mmseg - INFO - Iter [55850/80000]	lr: 4.084e-05, eta: 2:12:55, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5162, decode.acc_seg: 80.2798, aux.loss_ce: 0.3251, aux.acc_seg: 71.5806, loss: 0.8413
2022-11-04 15:25:14,818 - mmseg - INFO - Iter [55900/80000]	lr: 4.076e-05, eta: 2:12:38, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5268, decode.acc_seg: 79.9478, aux.loss_ce: 0.3270, aux.acc_seg: 71.1668, loss: 0.8538
2022-11-04 15:25:30,816 - mmseg - INFO - Iter [55950/80000]	lr: 4.068e-05, eta: 2:12:21, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5089, decode.acc_seg: 80.4849, aux.loss_ce: 0.3183, aux.acc_seg: 72.1427, loss: 0.8273
2022-11-04 15:25:47,035 - mmseg - INFO - Saving checkpoint at 56000 iterations
2022-11-04 15:25:47,330 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 15:25:47,330 - mmseg - INFO - Iter [56000/80000]	lr: 4.061e-05, eta: 2:12:05, time: 0.330, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5034, decode.acc_seg: 80.6451, aux.loss_ce: 0.3139, aux.acc_seg: 72.0571, loss: 0.8174
2022-11-04 15:25:56,074 - mmseg - INFO - per class results:
2022-11-04 15:25:56,081 - mmseg - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 65.41 | 84.03 |
|       building      | 75.61 | 89.07 |
|         sky         | 90.23 | 94.97 |
|        floor        | 69.46 | 85.29 |
|         tree        | 65.86 | 83.27 |
|       ceiling       | 75.09 | 85.69 |
|         road        | 75.78 | 87.51 |
|         bed         | 73.09 | 89.71 |
|      windowpane     | 49.07 | 66.07 |
|        grass        | 59.26 |  77.1 |
|       cabinet       | 45.35 | 58.25 |
|       sidewalk      | 50.81 | 67.14 |
|        person       | 63.07 | 79.43 |
|        earth        | 27.13 | 34.91 |
|         door        | 26.58 | 34.76 |
|        table        | 37.62 | 51.24 |
|       mountain      |  53.2 | 70.68 |
|        plant        | 41.29 | 53.26 |
|       curtain       | 53.95 | 66.78 |
|        chair        | 36.26 | 53.95 |
|         car         | 69.45 | 84.65 |
|        water        | 39.34 | 53.71 |
|       painting      | 54.16 |  70.6 |
|         sofa        | 47.16 | 69.18 |
|        shelf        | 33.46 | 52.14 |
|        house        | 48.16 |  66.1 |
|         sea         | 45.04 |  77.1 |
|        mirror       | 37.81 | 43.66 |
|         rug         | 37.81 | 46.86 |
|        field        | 20.44 | 36.03 |
|       armchair      | 21.69 | 30.21 |
|         seat        | 50.92 | 72.52 |
|        fence        | 17.39 | 21.24 |
|         desk        | 32.91 | 48.43 |
|         rock        |  34.9 | 57.91 |
|       wardrobe      | 40.36 | 62.68 |
|         lamp        | 34.26 |  49.1 |
|       bathtub       | 46.82 | 55.99 |
|       railing       | 24.86 | 40.24 |
|       cushion       | 28.66 | 37.32 |
|         base        | 16.06 | 21.93 |
|         box         |  7.83 |  9.97 |
|        column       | 27.45 | 35.45 |
|      signboard      | 19.95 | 26.53 |
|   chest of drawers  |  34.5 | 45.99 |
|       counter       | 26.78 | 30.48 |
|         sand        | 15.84 | 28.17 |
|         sink        | 40.99 | 51.83 |
|      skyscraper     | 59.52 | 80.52 |
|      fireplace      | 46.59 | 70.65 |
|     refrigerator    | 47.51 |  63.3 |
|      grandstand     | 45.18 | 61.39 |
|         path        | 15.22 | 21.76 |
|        stairs       | 19.49 | 25.05 |
|        runway       | 72.01 | 95.43 |
|         case        | 35.59 | 51.13 |
|      pool table     | 80.61 | 89.11 |
|        pillow       | 35.33 | 45.94 |
|     screen door     | 47.06 | 57.77 |
|       stairway      | 23.98 | 30.89 |
|        river        |  5.93 | 15.74 |
|        bridge       | 21.68 | 30.44 |
|       bookcase      | 24.02 | 37.34 |
|        blind        | 13.28 |  15.6 |
|     coffee table    |  36.1 | 66.78 |
|        toilet       | 58.73 |  80.5 |
|        flower       | 23.31 | 38.39 |
|         book        | 39.51 | 59.45 |
|         hill        |  4.19 |  6.33 |
|        bench        | 30.28 | 45.13 |
|      countertop     | 34.57 | 52.19 |
|        stove        | 46.06 | 62.14 |
|         palm        | 34.71 | 47.87 |
|    kitchen island   | 19.18 | 45.33 |
|       computer      | 43.02 | 60.92 |
|     swivel chair    | 24.51 | 32.88 |
|         boat        | 27.89 | 41.88 |
|         bar         | 11.64 |  13.3 |
|    arcade machine   | 29.43 | 44.51 |
|        hovel        | 45.78 | 59.35 |
|         bus         | 63.58 | 81.26 |
|        towel        | 31.46 | 40.79 |
|        light        | 10.52 | 11.11 |
|        truck        |  4.37 |  4.94 |
|        tower        | 39.27 | 48.81 |
|      chandelier     | 45.09 | 55.01 |
|        awning       | 14.42 | 16.53 |
|     streetlight     |  4.63 |  5.36 |
|        booth        | 29.72 | 35.85 |
| television receiver | 48.79 | 59.65 |
|       airplane      | 41.47 | 57.48 |
|      dirt track     | 11.71 | 17.28 |
|       apparel       |  16.5 | 22.24 |
|         pole        |  4.24 |  4.86 |
|         land        | 12.62 |  21.8 |
|      bannister      |  2.17 |  3.26 |
|      escalator      |  21.2 | 22.98 |
|       ottoman       |  8.85 |  9.71 |
|        bottle       |  5.02 |  5.58 |
|        buffet       | 35.31 | 46.12 |
|        poster       |  8.93 | 10.67 |
|        stage        |  9.2  | 12.94 |
|         van         |  8.62 |  9.9  |
|         ship        | 59.22 | 85.27 |
|       fountain      | 18.72 | 19.28 |
|    conveyer belt    |  61.1 | 72.33 |
|        canopy       | 29.83 |  46.2 |
|        washer       | 53.38 | 58.01 |
|      plaything      |  3.41 |  4.47 |
|    swimming pool    | 40.89 | 61.96 |
|        stool        |  5.52 |  6.22 |
|        barrel       | 27.32 | 38.72 |
|        basket       | 11.17 | 13.98 |
|      waterfall      | 34.48 |  41.5 |
|         tent        | 79.55 | 96.86 |
|         bag         |  1.49 |  1.64 |
|       minibike      |  46.1 | 58.81 |
|        cradle       |  56.5 | 77.61 |
|         oven        |  21.8 | 27.21 |
|         ball        | 13.58 | 16.21 |
|         food        |  43.9 |  57.4 |
|         step        |  4.87 |  5.16 |
|         tank        | 26.49 | 34.02 |
|      trade name     | 18.73 | 20.55 |
|      microwave      |  20.5 | 22.83 |
|         pot         | 29.17 |  36.6 |
|        animal       | 40.31 | 46.61 |
|       bicycle       | 37.96 | 51.79 |
|         lake        |  3.09 |  3.28 |
|      dishwasher     |  30.2 | 39.51 |
|        screen       | 50.43 | 65.74 |
|       blanket       |  0.66 |  0.7  |
|      sculpture      | 25.26 | 31.83 |
|         hood        | 25.14 |  30.3 |
|        sconce       |  8.06 |  8.49 |
|         vase        |  13.3 | 19.15 |
|    traffic light    |  9.98 | 11.75 |
|         tray        |  1.61 |  3.29 |
|        ashcan       | 13.63 | 16.42 |
|         fan         | 22.27 | 26.38 |
|         pier        |  41.9 | 56.52 |
|      crt screen     |  0.0  |  0.0  |
|        plate        |  24.3 | 30.46 |
|       monitor       |  3.31 |  3.45 |
|    bulletin board   | 24.75 | 30.82 |
|        shower       |  0.0  |  0.0  |
|       radiator      | 24.57 | 26.57 |
|        glass        |  1.88 |  1.97 |
|        clock        |  4.87 |  6.31 |
|         flag        | 14.19 | 15.26 |
+---------------------+-------+-------+
2022-11-04 15:25:56,081 - mmseg - INFO - Summary:
2022-11-04 15:25:56,081 - mmseg - INFO - 
+-------+-------+-------+
|  aAcc |  mIoU |  mAcc |
+-------+-------+-------+
| 74.53 | 31.99 | 42.14 |
+-------+-------+-------+
2022-11-04 15:25:56,082 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 15:25:56,083 - mmseg - INFO - Iter(val) [250]	aAcc: 0.7453, mIoU: 0.3199, mAcc: 0.4214, IoU.wall: 0.6541, IoU.building: 0.7561, IoU.sky: 0.9023, IoU.floor: 0.6946, IoU.tree: 0.6586, IoU.ceiling: 0.7509, IoU.road: 0.7578, IoU.bed : 0.7309, IoU.windowpane: 0.4907, IoU.grass: 0.5926, IoU.cabinet: 0.4535, IoU.sidewalk: 0.5081, IoU.person: 0.6307, IoU.earth: 0.2713, IoU.door: 0.2658, IoU.table: 0.3762, IoU.mountain: 0.5320, IoU.plant: 0.4129, IoU.curtain: 0.5395, IoU.chair: 0.3626, IoU.car: 0.6945, IoU.water: 0.3934, IoU.painting: 0.5416, IoU.sofa: 0.4716, IoU.shelf: 0.3346, IoU.house: 0.4816, IoU.sea: 0.4504, IoU.mirror: 0.3781, IoU.rug: 0.3781, IoU.field: 0.2044, IoU.armchair: 0.2169, IoU.seat: 0.5092, IoU.fence: 0.1739, IoU.desk: 0.3291, IoU.rock: 0.3490, IoU.wardrobe: 0.4036, IoU.lamp: 0.3426, IoU.bathtub: 0.4682, IoU.railing: 0.2486, IoU.cushion: 0.2866, IoU.base: 0.1606, IoU.box: 0.0783, IoU.column: 0.2745, IoU.signboard: 0.1995, IoU.chest of drawers: 0.3450, IoU.counter: 0.2678, IoU.sand: 0.1584, IoU.sink: 0.4099, IoU.skyscraper: 0.5952, IoU.fireplace: 0.4659, IoU.refrigerator: 0.4751, IoU.grandstand: 0.4518, IoU.path: 0.1522, IoU.stairs: 0.1949, IoU.runway: 0.7201, IoU.case: 0.3559, IoU.pool table: 0.8061, IoU.pillow: 0.3533, IoU.screen door: 0.4706, IoU.stairway: 0.2398, IoU.river: 0.0593, IoU.bridge: 0.2168, IoU.bookcase: 0.2402, IoU.blind: 0.1328, IoU.coffee table: 0.3610, IoU.toilet: 0.5873, IoU.flower: 0.2331, IoU.book: 0.3951, IoU.hill: 0.0419, IoU.bench: 0.3028, IoU.countertop: 0.3457, IoU.stove: 0.4606, IoU.palm: 0.3471, IoU.kitchen island: 0.1918, IoU.computer: 0.4302, IoU.swivel chair: 0.2451, IoU.boat: 0.2789, IoU.bar: 0.1164, IoU.arcade machine: 0.2943, IoU.hovel: 0.4578, IoU.bus: 0.6358, IoU.towel: 0.3146, IoU.light: 0.1052, IoU.truck: 0.0437, IoU.tower: 0.3927, IoU.chandelier: 0.4509, IoU.awning: 0.1442, IoU.streetlight: 0.0463, IoU.booth: 0.2972, IoU.television receiver: 0.4879, IoU.airplane: 0.4147, IoU.dirt track: 0.1171, IoU.apparel: 0.1650, IoU.pole: 0.0424, IoU.land: 0.1262, IoU.bannister: 0.0217, IoU.escalator: 0.2120, IoU.ottoman: 0.0885, IoU.bottle: 0.0502, IoU.buffet: 0.3531, IoU.poster: 0.0893, IoU.stage: 0.0920, IoU.van: 0.0862, IoU.ship: 0.5922, IoU.fountain: 0.1872, IoU.conveyer belt: 0.6110, IoU.canopy: 0.2983, IoU.washer: 0.5338, IoU.plaything: 0.0341, IoU.swimming pool: 0.4089, IoU.stool: 0.0552, IoU.barrel: 0.2732, IoU.basket: 0.1117, IoU.waterfall: 0.3448, IoU.tent: 0.7955, IoU.bag: 0.0149, IoU.minibike: 0.4610, IoU.cradle: 0.5650, IoU.oven: 0.2180, IoU.ball: 0.1358, IoU.food: 0.4390, IoU.step: 0.0487, IoU.tank: 0.2649, IoU.trade name: 0.1873, IoU.microwave: 0.2050, IoU.pot: 0.2917, IoU.animal: 0.4031, IoU.bicycle: 0.3796, IoU.lake: 0.0309, IoU.dishwasher: 0.3020, IoU.screen: 0.5043, IoU.blanket: 0.0066, IoU.sculpture: 0.2526, IoU.hood: 0.2514, IoU.sconce: 0.0806, IoU.vase: 0.1330, IoU.traffic light: 0.0998, IoU.tray: 0.0161, IoU.ashcan: 0.1363, IoU.fan: 0.2227, IoU.pier: 0.4190, IoU.crt screen: 0.0000, IoU.plate: 0.2430, IoU.monitor: 0.0331, IoU.bulletin board: 0.2475, IoU.shower: 0.0000, IoU.radiator: 0.2457, IoU.glass: 0.0188, IoU.clock: 0.0487, IoU.flag: 0.1419, Acc.wall: 0.8403, Acc.building: 0.8907, Acc.sky: 0.9497, Acc.floor: 0.8529, Acc.tree: 0.8327, Acc.ceiling: 0.8569, Acc.road: 0.8751, Acc.bed : 0.8971, Acc.windowpane: 0.6607, Acc.grass: 0.7710, Acc.cabinet: 0.5825, Acc.sidewalk: 0.6714, Acc.person: 0.7943, Acc.earth: 0.3491, Acc.door: 0.3476, Acc.table: 0.5124, Acc.mountain: 0.7068, Acc.plant: 0.5326, Acc.curtain: 0.6678, Acc.chair: 0.5395, Acc.car: 0.8465, Acc.water: 0.5371, Acc.painting: 0.7060, Acc.sofa: 0.6918, Acc.shelf: 0.5214, Acc.house: 0.6610, Acc.sea: 0.7710, Acc.mirror: 0.4366, Acc.rug: 0.4686, Acc.field: 0.3603, Acc.armchair: 0.3021, Acc.seat: 0.7252, Acc.fence: 0.2124, Acc.desk: 0.4843, Acc.rock: 0.5791, Acc.wardrobe: 0.6268, Acc.lamp: 0.4910, Acc.bathtub: 0.5599, Acc.railing: 0.4024, Acc.cushion: 0.3732, Acc.base: 0.2193, Acc.box: 0.0997, Acc.column: 0.3545, Acc.signboard: 0.2653, Acc.chest of drawers: 0.4599, Acc.counter: 0.3048, Acc.sand: 0.2817, Acc.sink: 0.5183, Acc.skyscraper: 0.8052, Acc.fireplace: 0.7065, Acc.refrigerator: 0.6330, Acc.grandstand: 0.6139, Acc.path: 0.2176, Acc.stairs: 0.2505, Acc.runway: 0.9543, Acc.case: 0.5113, Acc.pool table: 0.8911, Acc.pillow: 0.4594, Acc.screen door: 0.5777, Acc.stairway: 0.3089, Acc.river: 0.1574, Acc.bridge: 0.3044, Acc.bookcase: 0.3734, Acc.blind: 0.1560, Acc.coffee table: 0.6678, Acc.toilet: 0.8050, Acc.flower: 0.3839, Acc.book: 0.5945, Acc.hill: 0.0633, Acc.bench: 0.4513, Acc.countertop: 0.5219, Acc.stove: 0.6214, Acc.palm: 0.4787, Acc.kitchen island: 0.4533, Acc.computer: 0.6092, Acc.swivel chair: 0.3288, Acc.boat: 0.4188, Acc.bar: 0.1330, Acc.arcade machine: 0.4451, Acc.hovel: 0.5935, Acc.bus: 0.8126, Acc.towel: 0.4079, Acc.light: 0.1111, Acc.truck: 0.0494, Acc.tower: 0.4881, Acc.chandelier: 0.5501, Acc.awning: 0.1653, Acc.streetlight: 0.0536, Acc.booth: 0.3585, Acc.television receiver: 0.5965, Acc.airplane: 0.5748, Acc.dirt track: 0.1728, Acc.apparel: 0.2224, Acc.pole: 0.0486, Acc.land: 0.2180, Acc.bannister: 0.0326, Acc.escalator: 0.2298, Acc.ottoman: 0.0971, Acc.bottle: 0.0558, Acc.buffet: 0.4612, Acc.poster: 0.1067, Acc.stage: 0.1294, Acc.van: 0.0990, Acc.ship: 0.8527, Acc.fountain: 0.1928, Acc.conveyer belt: 0.7233, Acc.canopy: 0.4620, Acc.washer: 0.5801, Acc.plaything: 0.0447, Acc.swimming pool: 0.6196, Acc.stool: 0.0622, Acc.barrel: 0.3872, Acc.basket: 0.1398, Acc.waterfall: 0.4150, Acc.tent: 0.9686, Acc.bag: 0.0164, Acc.minibike: 0.5881, Acc.cradle: 0.7761, Acc.oven: 0.2721, Acc.ball: 0.1621, Acc.food: 0.5740, Acc.step: 0.0516, Acc.tank: 0.3402, Acc.trade name: 0.2055, Acc.microwave: 0.2283, Acc.pot: 0.3660, Acc.animal: 0.4661, Acc.bicycle: 0.5179, Acc.lake: 0.0328, Acc.dishwasher: 0.3951, Acc.screen: 0.6574, Acc.blanket: 0.0070, Acc.sculpture: 0.3183, Acc.hood: 0.3030, Acc.sconce: 0.0849, Acc.vase: 0.1915, Acc.traffic light: 0.1175, Acc.tray: 0.0329, Acc.ashcan: 0.1642, Acc.fan: 0.2638, Acc.pier: 0.5652, Acc.crt screen: 0.0000, Acc.plate: 0.3046, Acc.monitor: 0.0345, Acc.bulletin board: 0.3082, Acc.shower: 0.0000, Acc.radiator: 0.2657, Acc.glass: 0.0197, Acc.clock: 0.0631, Acc.flag: 0.1526
2022-11-04 15:26:12,108 - mmseg - INFO - Iter [56050/80000]	lr: 4.053e-05, eta: 2:11:52, time: 0.496, data_time: 0.184, memory: 9985, decode.loss_ce: 0.5127, decode.acc_seg: 80.2347, aux.loss_ce: 0.3190, aux.acc_seg: 71.7125, loss: 0.8317
2022-11-04 15:26:28,142 - mmseg - INFO - Iter [56100/80000]	lr: 4.046e-05, eta: 2:11:35, time: 0.321, data_time: 0.008, memory: 9985, decode.loss_ce: 0.4953, decode.acc_seg: 80.8079, aux.loss_ce: 0.3119, aux.acc_seg: 72.2862, loss: 0.8071
2022-11-04 15:26:44,373 - mmseg - INFO - Iter [56150/80000]	lr: 4.038e-05, eta: 2:11:18, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5057, decode.acc_seg: 80.3241, aux.loss_ce: 0.3155, aux.acc_seg: 71.6433, loss: 0.8212
2022-11-04 15:27:03,415 - mmseg - INFO - Iter [56200/80000]	lr: 4.030e-05, eta: 2:11:03, time: 0.381, data_time: 0.064, memory: 9985, decode.loss_ce: 0.5070, decode.acc_seg: 80.4100, aux.loss_ce: 0.3120, aux.acc_seg: 72.0759, loss: 0.8190
2022-11-04 15:27:19,740 - mmseg - INFO - Iter [56250/80000]	lr: 4.023e-05, eta: 2:10:46, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4927, decode.acc_seg: 81.1980, aux.loss_ce: 0.3072, aux.acc_seg: 72.7495, loss: 0.7999
2022-11-04 15:27:35,824 - mmseg - INFO - Iter [56300/80000]	lr: 4.015e-05, eta: 2:10:30, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5095, decode.acc_seg: 80.2356, aux.loss_ce: 0.3209, aux.acc_seg: 71.4744, loss: 0.8304
2022-11-04 15:27:51,823 - mmseg - INFO - Iter [56350/80000]	lr: 4.007e-05, eta: 2:10:13, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5086, decode.acc_seg: 80.2862, aux.loss_ce: 0.3186, aux.acc_seg: 71.4632, loss: 0.8272
2022-11-04 15:28:07,912 - mmseg - INFO - Iter [56400/80000]	lr: 4.000e-05, eta: 2:09:56, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4977, decode.acc_seg: 80.5012, aux.loss_ce: 0.3104, aux.acc_seg: 71.8534, loss: 0.8081
2022-11-04 15:28:24,319 - mmseg - INFO - Iter [56450/80000]	lr: 3.992e-05, eta: 2:09:40, time: 0.328, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5100, decode.acc_seg: 80.2318, aux.loss_ce: 0.3179, aux.acc_seg: 72.1408, loss: 0.8279
2022-11-04 15:28:40,644 - mmseg - INFO - Iter [56500/80000]	lr: 3.985e-05, eta: 2:09:23, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4989, decode.acc_seg: 80.9035, aux.loss_ce: 0.3191, aux.acc_seg: 72.1268, loss: 0.8180
2022-11-04 15:28:56,738 - mmseg - INFO - Iter [56550/80000]	lr: 3.977e-05, eta: 2:09:06, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5249, decode.acc_seg: 80.0569, aux.loss_ce: 0.3224, aux.acc_seg: 71.9341, loss: 0.8473
2022-11-04 15:29:12,666 - mmseg - INFO - Iter [56600/80000]	lr: 3.969e-05, eta: 2:08:50, time: 0.319, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5131, decode.acc_seg: 80.9442, aux.loss_ce: 0.3154, aux.acc_seg: 72.8141, loss: 0.8285
2022-11-04 15:29:28,875 - mmseg - INFO - Iter [56650/80000]	lr: 3.962e-05, eta: 2:08:33, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5065, decode.acc_seg: 80.3131, aux.loss_ce: 0.3185, aux.acc_seg: 71.5657, loss: 0.8251
2022-11-04 15:29:45,144 - mmseg - INFO - Iter [56700/80000]	lr: 3.954e-05, eta: 2:08:16, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4894, decode.acc_seg: 81.1208, aux.loss_ce: 0.3091, aux.acc_seg: 73.1463, loss: 0.7986
2022-11-04 15:30:01,219 - mmseg - INFO - Iter [56750/80000]	lr: 3.946e-05, eta: 2:08:00, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5334, decode.acc_seg: 79.5052, aux.loss_ce: 0.3208, aux.acc_seg: 71.3453, loss: 0.8542
2022-11-04 15:30:20,204 - mmseg - INFO - Iter [56800/80000]	lr: 3.939e-05, eta: 2:07:44, time: 0.380, data_time: 0.061, memory: 9985, decode.loss_ce: 0.5154, decode.acc_seg: 80.3954, aux.loss_ce: 0.3214, aux.acc_seg: 71.4594, loss: 0.8368
2022-11-04 15:30:36,329 - mmseg - INFO - Iter [56850/80000]	lr: 3.931e-05, eta: 2:07:27, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4902, decode.acc_seg: 81.1177, aux.loss_ce: 0.3077, aux.acc_seg: 72.6749, loss: 0.7980
2022-11-04 15:30:52,486 - mmseg - INFO - Iter [56900/80000]	lr: 3.923e-05, eta: 2:07:11, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5034, decode.acc_seg: 80.7069, aux.loss_ce: 0.3159, aux.acc_seg: 72.1932, loss: 0.8193
2022-11-04 15:31:08,681 - mmseg - INFO - Iter [56950/80000]	lr: 3.916e-05, eta: 2:06:54, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4903, decode.acc_seg: 80.9923, aux.loss_ce: 0.3084, aux.acc_seg: 72.0440, loss: 0.7987
2022-11-04 15:31:25,064 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 15:31:25,064 - mmseg - INFO - Iter [57000/80000]	lr: 3.908e-05, eta: 2:06:38, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5163, decode.acc_seg: 79.9162, aux.loss_ce: 0.3226, aux.acc_seg: 71.2086, loss: 0.8389
2022-11-04 15:31:40,902 - mmseg - INFO - Iter [57050/80000]	lr: 3.901e-05, eta: 2:06:21, time: 0.317, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5129, decode.acc_seg: 80.7422, aux.loss_ce: 0.3171, aux.acc_seg: 72.4648, loss: 0.8300
2022-11-04 15:31:56,961 - mmseg - INFO - Iter [57100/80000]	lr: 3.893e-05, eta: 2:06:04, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4960, decode.acc_seg: 81.1553, aux.loss_ce: 0.3122, aux.acc_seg: 72.6346, loss: 0.8082
2022-11-04 15:32:13,082 - mmseg - INFO - Iter [57150/80000]	lr: 3.885e-05, eta: 2:05:47, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5188, decode.acc_seg: 80.3610, aux.loss_ce: 0.3206, aux.acc_seg: 72.0438, loss: 0.8394
2022-11-04 15:32:29,379 - mmseg - INFO - Iter [57200/80000]	lr: 3.878e-05, eta: 2:05:31, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4965, decode.acc_seg: 80.7066, aux.loss_ce: 0.3151, aux.acc_seg: 71.7057, loss: 0.8115
2022-11-04 15:32:45,513 - mmseg - INFO - Iter [57250/80000]	lr: 3.870e-05, eta: 2:05:14, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4984, decode.acc_seg: 80.5340, aux.loss_ce: 0.3226, aux.acc_seg: 70.9965, loss: 0.8210
2022-11-04 15:33:01,866 - mmseg - INFO - Iter [57300/80000]	lr: 3.862e-05, eta: 2:04:58, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5253, decode.acc_seg: 79.5055, aux.loss_ce: 0.3232, aux.acc_seg: 71.1754, loss: 0.8485
2022-11-04 15:33:17,895 - mmseg - INFO - Iter [57350/80000]	lr: 3.855e-05, eta: 2:04:41, time: 0.321, data_time: 0.008, memory: 9985, decode.loss_ce: 0.5070, decode.acc_seg: 80.7313, aux.loss_ce: 0.3198, aux.acc_seg: 71.4634, loss: 0.8268
2022-11-04 15:33:34,262 - mmseg - INFO - Iter [57400/80000]	lr: 3.847e-05, eta: 2:04:24, time: 0.327, data_time: 0.008, memory: 9985, decode.loss_ce: 0.5116, decode.acc_seg: 80.4440, aux.loss_ce: 0.3198, aux.acc_seg: 71.9865, loss: 0.8314
2022-11-04 15:33:53,589 - mmseg - INFO - Iter [57450/80000]	lr: 3.839e-05, eta: 2:04:09, time: 0.387, data_time: 0.067, memory: 9985, decode.loss_ce: 0.4857, decode.acc_seg: 81.1167, aux.loss_ce: 0.3110, aux.acc_seg: 72.4490, loss: 0.7968
2022-11-04 15:34:09,929 - mmseg - INFO - Iter [57500/80000]	lr: 3.832e-05, eta: 2:03:52, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4811, decode.acc_seg: 81.6242, aux.loss_ce: 0.3075, aux.acc_seg: 72.4805, loss: 0.7886
2022-11-04 15:34:26,375 - mmseg - INFO - Iter [57550/80000]	lr: 3.824e-05, eta: 2:03:36, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4776, decode.acc_seg: 81.7081, aux.loss_ce: 0.3011, aux.acc_seg: 73.0215, loss: 0.7786
2022-11-04 15:34:42,690 - mmseg - INFO - Iter [57600/80000]	lr: 3.816e-05, eta: 2:03:19, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5009, decode.acc_seg: 80.5395, aux.loss_ce: 0.3085, aux.acc_seg: 72.0391, loss: 0.8093
2022-11-04 15:34:58,842 - mmseg - INFO - Iter [57650/80000]	lr: 3.809e-05, eta: 2:03:03, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5077, decode.acc_seg: 80.3976, aux.loss_ce: 0.3189, aux.acc_seg: 71.6084, loss: 0.8266
2022-11-04 15:35:14,908 - mmseg - INFO - Iter [57700/80000]	lr: 3.801e-05, eta: 2:02:46, time: 0.321, data_time: 0.008, memory: 9985, decode.loss_ce: 0.5059, decode.acc_seg: 80.1117, aux.loss_ce: 0.3115, aux.acc_seg: 72.3024, loss: 0.8175
2022-11-04 15:35:30,978 - mmseg - INFO - Iter [57750/80000]	lr: 3.793e-05, eta: 2:02:29, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5019, decode.acc_seg: 80.8623, aux.loss_ce: 0.3217, aux.acc_seg: 71.6796, loss: 0.8236
2022-11-04 15:35:46,975 - mmseg - INFO - Iter [57800/80000]	lr: 3.786e-05, eta: 2:02:12, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5145, decode.acc_seg: 80.2961, aux.loss_ce: 0.3166, aux.acc_seg: 72.0062, loss: 0.8311
2022-11-04 15:36:03,235 - mmseg - INFO - Iter [57850/80000]	lr: 3.778e-05, eta: 2:01:56, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5178, decode.acc_seg: 80.2288, aux.loss_ce: 0.3212, aux.acc_seg: 71.6877, loss: 0.8390
2022-11-04 15:36:19,462 - mmseg - INFO - Iter [57900/80000]	lr: 3.770e-05, eta: 2:01:39, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5170, decode.acc_seg: 80.4429, aux.loss_ce: 0.3211, aux.acc_seg: 71.9688, loss: 0.8381
2022-11-04 15:36:35,622 - mmseg - INFO - Iter [57950/80000]	lr: 3.763e-05, eta: 2:01:23, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5066, decode.acc_seg: 80.3342, aux.loss_ce: 0.3139, aux.acc_seg: 72.0044, loss: 0.8206
2022-11-04 15:36:51,708 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 15:36:51,708 - mmseg - INFO - Iter [58000/80000]	lr: 3.755e-05, eta: 2:01:06, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4926, decode.acc_seg: 81.0753, aux.loss_ce: 0.3104, aux.acc_seg: 72.7278, loss: 0.8030
2022-11-04 15:37:07,743 - mmseg - INFO - Iter [58050/80000]	lr: 3.747e-05, eta: 2:00:49, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5104, decode.acc_seg: 80.3648, aux.loss_ce: 0.3239, aux.acc_seg: 71.5730, loss: 0.8343
2022-11-04 15:37:27,067 - mmseg - INFO - Iter [58100/80000]	lr: 3.740e-05, eta: 2:00:34, time: 0.386, data_time: 0.068, memory: 9985, decode.loss_ce: 0.5167, decode.acc_seg: 80.3439, aux.loss_ce: 0.3206, aux.acc_seg: 71.9280, loss: 0.8373
2022-11-04 15:37:43,026 - mmseg - INFO - Iter [58150/80000]	lr: 3.732e-05, eta: 2:00:17, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5068, decode.acc_seg: 80.6400, aux.loss_ce: 0.3160, aux.acc_seg: 71.9604, loss: 0.8227
2022-11-04 15:37:59,423 - mmseg - INFO - Iter [58200/80000]	lr: 3.724e-05, eta: 2:00:00, time: 0.328, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4908, decode.acc_seg: 80.9640, aux.loss_ce: 0.3078, aux.acc_seg: 72.0128, loss: 0.7986
2022-11-04 15:38:15,366 - mmseg - INFO - Iter [58250/80000]	lr: 3.716e-05, eta: 1:59:44, time: 0.319, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5012, decode.acc_seg: 80.6438, aux.loss_ce: 0.3202, aux.acc_seg: 71.4476, loss: 0.8214
2022-11-04 15:38:31,926 - mmseg - INFO - Iter [58300/80000]	lr: 3.709e-05, eta: 1:59:27, time: 0.331, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4828, decode.acc_seg: 81.1068, aux.loss_ce: 0.3058, aux.acc_seg: 72.7867, loss: 0.7886
2022-11-04 15:38:47,885 - mmseg - INFO - Iter [58350/80000]	lr: 3.701e-05, eta: 1:59:10, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4980, decode.acc_seg: 80.4762, aux.loss_ce: 0.3098, aux.acc_seg: 72.3118, loss: 0.8077
2022-11-04 15:39:04,035 - mmseg - INFO - Iter [58400/80000]	lr: 3.693e-05, eta: 1:58:54, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4983, decode.acc_seg: 80.7941, aux.loss_ce: 0.3110, aux.acc_seg: 72.9187, loss: 0.8093
2022-11-04 15:39:19,909 - mmseg - INFO - Iter [58450/80000]	lr: 3.686e-05, eta: 1:58:37, time: 0.317, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4934, decode.acc_seg: 80.7658, aux.loss_ce: 0.3033, aux.acc_seg: 72.7267, loss: 0.7967
2022-11-04 15:39:36,009 - mmseg - INFO - Iter [58500/80000]	lr: 3.678e-05, eta: 1:58:20, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5070, decode.acc_seg: 80.5029, aux.loss_ce: 0.3160, aux.acc_seg: 72.1885, loss: 0.8230
2022-11-04 15:39:52,134 - mmseg - INFO - Iter [58550/80000]	lr: 3.670e-05, eta: 1:58:04, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5221, decode.acc_seg: 80.1665, aux.loss_ce: 0.3285, aux.acc_seg: 71.2405, loss: 0.8506
2022-11-04 15:40:08,296 - mmseg - INFO - Iter [58600/80000]	lr: 3.663e-05, eta: 1:57:47, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5035, decode.acc_seg: 80.9916, aux.loss_ce: 0.3163, aux.acc_seg: 72.4156, loss: 0.8198
2022-11-04 15:40:24,286 - mmseg - INFO - Iter [58650/80000]	lr: 3.655e-05, eta: 1:57:30, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5079, decode.acc_seg: 80.5671, aux.loss_ce: 0.3222, aux.acc_seg: 71.7514, loss: 0.8301
2022-11-04 15:40:43,787 - mmseg - INFO - Iter [58700/80000]	lr: 3.647e-05, eta: 1:57:15, time: 0.390, data_time: 0.070, memory: 9985, decode.loss_ce: 0.4946, decode.acc_seg: 80.9216, aux.loss_ce: 0.3088, aux.acc_seg: 72.5616, loss: 0.8034
2022-11-04 15:41:00,171 - mmseg - INFO - Iter [58750/80000]	lr: 3.639e-05, eta: 1:56:58, time: 0.328, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5132, decode.acc_seg: 80.3389, aux.loss_ce: 0.3150, aux.acc_seg: 71.9496, loss: 0.8282
2022-11-04 15:41:16,213 - mmseg - INFO - Iter [58800/80000]	lr: 3.632e-05, eta: 1:56:42, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5111, decode.acc_seg: 80.2543, aux.loss_ce: 0.3182, aux.acc_seg: 71.7758, loss: 0.8294
2022-11-04 15:41:32,384 - mmseg - INFO - Iter [58850/80000]	lr: 3.624e-05, eta: 1:56:25, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4931, decode.acc_seg: 81.0296, aux.loss_ce: 0.3105, aux.acc_seg: 72.3926, loss: 0.8036
2022-11-04 15:41:48,316 - mmseg - INFO - Iter [58900/80000]	lr: 3.616e-05, eta: 1:56:08, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5015, decode.acc_seg: 80.7106, aux.loss_ce: 0.3177, aux.acc_seg: 71.6918, loss: 0.8192
2022-11-04 15:42:04,633 - mmseg - INFO - Iter [58950/80000]	lr: 3.609e-05, eta: 1:55:52, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5024, decode.acc_seg: 80.7062, aux.loss_ce: 0.3090, aux.acc_seg: 72.8081, loss: 0.8114
2022-11-04 15:42:20,872 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 15:42:20,873 - mmseg - INFO - Iter [59000/80000]	lr: 3.601e-05, eta: 1:55:35, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5096, decode.acc_seg: 80.6733, aux.loss_ce: 0.3185, aux.acc_seg: 72.1216, loss: 0.8281
2022-11-04 15:42:36,924 - mmseg - INFO - Iter [59050/80000]	lr: 3.593e-05, eta: 1:55:18, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5240, decode.acc_seg: 79.9385, aux.loss_ce: 0.3305, aux.acc_seg: 70.9397, loss: 0.8544
2022-11-04 15:42:52,926 - mmseg - INFO - Iter [59100/80000]	lr: 3.586e-05, eta: 1:55:02, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5047, decode.acc_seg: 80.2966, aux.loss_ce: 0.3168, aux.acc_seg: 72.0565, loss: 0.8215
2022-11-04 15:43:09,017 - mmseg - INFO - Iter [59150/80000]	lr: 3.578e-05, eta: 1:54:45, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4979, decode.acc_seg: 80.8659, aux.loss_ce: 0.3187, aux.acc_seg: 71.7067, loss: 0.8166
2022-11-04 15:43:25,254 - mmseg - INFO - Iter [59200/80000]	lr: 3.570e-05, eta: 1:54:29, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5087, decode.acc_seg: 80.4589, aux.loss_ce: 0.3198, aux.acc_seg: 72.0452, loss: 0.8285
2022-11-04 15:43:41,491 - mmseg - INFO - Iter [59250/80000]	lr: 3.562e-05, eta: 1:54:12, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5037, decode.acc_seg: 80.5134, aux.loss_ce: 0.3181, aux.acc_seg: 72.0644, loss: 0.8219
2022-11-04 15:43:57,420 - mmseg - INFO - Iter [59300/80000]	lr: 3.555e-05, eta: 1:53:55, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4991, decode.acc_seg: 80.9726, aux.loss_ce: 0.3112, aux.acc_seg: 72.2425, loss: 0.8103
2022-11-04 15:44:16,442 - mmseg - INFO - Iter [59350/80000]	lr: 3.547e-05, eta: 1:53:40, time: 0.380, data_time: 0.062, memory: 9985, decode.loss_ce: 0.5058, decode.acc_seg: 80.6028, aux.loss_ce: 0.3184, aux.acc_seg: 72.0479, loss: 0.8242
2022-11-04 15:44:32,876 - mmseg - INFO - Iter [59400/80000]	lr: 3.539e-05, eta: 1:53:23, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4930, decode.acc_seg: 80.6806, aux.loss_ce: 0.3061, aux.acc_seg: 72.5956, loss: 0.7990
2022-11-04 15:44:48,932 - mmseg - INFO - Iter [59450/80000]	lr: 3.531e-05, eta: 1:53:06, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5001, decode.acc_seg: 80.6367, aux.loss_ce: 0.3109, aux.acc_seg: 72.6488, loss: 0.8109
2022-11-04 15:45:05,297 - mmseg - INFO - Iter [59500/80000]	lr: 3.524e-05, eta: 1:52:50, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4962, decode.acc_seg: 80.5488, aux.loss_ce: 0.3103, aux.acc_seg: 71.5974, loss: 0.8065
2022-11-04 15:45:21,417 - mmseg - INFO - Iter [59550/80000]	lr: 3.516e-05, eta: 1:52:33, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4936, decode.acc_seg: 81.0178, aux.loss_ce: 0.3120, aux.acc_seg: 72.2404, loss: 0.8055
2022-11-04 15:45:37,447 - mmseg - INFO - Iter [59600/80000]	lr: 3.508e-05, eta: 1:52:16, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4917, decode.acc_seg: 81.0900, aux.loss_ce: 0.3094, aux.acc_seg: 72.7952, loss: 0.8011
2022-11-04 15:45:53,643 - mmseg - INFO - Iter [59650/80000]	lr: 3.500e-05, eta: 1:52:00, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5059, decode.acc_seg: 80.9038, aux.loss_ce: 0.3203, aux.acc_seg: 72.1953, loss: 0.8262
2022-11-04 15:46:09,976 - mmseg - INFO - Iter [59700/80000]	lr: 3.493e-05, eta: 1:51:43, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5099, decode.acc_seg: 80.2830, aux.loss_ce: 0.3163, aux.acc_seg: 72.2984, loss: 0.8262
2022-11-04 15:46:26,298 - mmseg - INFO - Iter [59750/80000]	lr: 3.485e-05, eta: 1:51:27, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5020, decode.acc_seg: 80.4792, aux.loss_ce: 0.3206, aux.acc_seg: 71.4798, loss: 0.8225
2022-11-04 15:46:42,440 - mmseg - INFO - Iter [59800/80000]	lr: 3.477e-05, eta: 1:51:10, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5250, decode.acc_seg: 80.2173, aux.loss_ce: 0.3234, aux.acc_seg: 71.5097, loss: 0.8485
2022-11-04 15:46:58,552 - mmseg - INFO - Iter [59850/80000]	lr: 3.470e-05, eta: 1:50:53, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5122, decode.acc_seg: 80.2020, aux.loss_ce: 0.3158, aux.acc_seg: 72.1169, loss: 0.8279
2022-11-04 15:47:14,690 - mmseg - INFO - Iter [59900/80000]	lr: 3.462e-05, eta: 1:50:37, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5103, decode.acc_seg: 80.8447, aux.loss_ce: 0.3204, aux.acc_seg: 72.0678, loss: 0.8306
2022-11-04 15:47:33,876 - mmseg - INFO - Iter [59950/80000]	lr: 3.454e-05, eta: 1:50:21, time: 0.384, data_time: 0.071, memory: 9985, decode.loss_ce: 0.5047, decode.acc_seg: 80.5742, aux.loss_ce: 0.3145, aux.acc_seg: 72.2887, loss: 0.8192
2022-11-04 15:47:51,038 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 15:47:51,039 - mmseg - INFO - Iter [60000/80000]	lr: 3.446e-05, eta: 1:50:05, time: 0.343, data_time: 0.024, memory: 9985, decode.loss_ce: 0.4775, decode.acc_seg: 81.5949, aux.loss_ce: 0.3044, aux.acc_seg: 72.9743, loss: 0.7819
2022-11-04 15:48:07,396 - mmseg - INFO - Iter [60050/80000]	lr: 3.438e-05, eta: 1:49:48, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4915, decode.acc_seg: 80.8961, aux.loss_ce: 0.3084, aux.acc_seg: 72.6321, loss: 0.7999
2022-11-04 15:48:23,471 - mmseg - INFO - Iter [60100/80000]	lr: 3.431e-05, eta: 1:49:32, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5035, decode.acc_seg: 80.5132, aux.loss_ce: 0.3141, aux.acc_seg: 72.1340, loss: 0.8176
2022-11-04 15:48:39,761 - mmseg - INFO - Iter [60150/80000]	lr: 3.423e-05, eta: 1:49:15, time: 0.326, data_time: 0.011, memory: 9985, decode.loss_ce: 0.5041, decode.acc_seg: 80.6026, aux.loss_ce: 0.3100, aux.acc_seg: 72.2466, loss: 0.8141
2022-11-04 15:48:55,789 - mmseg - INFO - Iter [60200/80000]	lr: 3.415e-05, eta: 1:48:58, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5088, decode.acc_seg: 80.5036, aux.loss_ce: 0.3137, aux.acc_seg: 72.5094, loss: 0.8225
2022-11-04 15:49:12,024 - mmseg - INFO - Iter [60250/80000]	lr: 3.407e-05, eta: 1:48:42, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5065, decode.acc_seg: 80.3749, aux.loss_ce: 0.3207, aux.acc_seg: 71.5392, loss: 0.8272
2022-11-04 15:49:28,164 - mmseg - INFO - Iter [60300/80000]	lr: 3.400e-05, eta: 1:48:25, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5117, decode.acc_seg: 80.2163, aux.loss_ce: 0.3187, aux.acc_seg: 71.8361, loss: 0.8304
2022-11-04 15:49:44,061 - mmseg - INFO - Iter [60350/80000]	lr: 3.392e-05, eta: 1:48:08, time: 0.318, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4985, decode.acc_seg: 80.5092, aux.loss_ce: 0.3158, aux.acc_seg: 72.1348, loss: 0.8144
2022-11-04 15:50:00,269 - mmseg - INFO - Iter [60400/80000]	lr: 3.384e-05, eta: 1:47:52, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5190, decode.acc_seg: 80.0978, aux.loss_ce: 0.3224, aux.acc_seg: 71.0854, loss: 0.8414
2022-11-04 15:50:16,417 - mmseg - INFO - Iter [60450/80000]	lr: 3.376e-05, eta: 1:47:35, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5081, decode.acc_seg: 80.4858, aux.loss_ce: 0.3241, aux.acc_seg: 71.2719, loss: 0.8322
2022-11-04 15:50:32,688 - mmseg - INFO - Iter [60500/80000]	lr: 3.369e-05, eta: 1:47:19, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5102, decode.acc_seg: 80.3523, aux.loss_ce: 0.3176, aux.acc_seg: 72.0169, loss: 0.8278
2022-11-04 15:50:48,875 - mmseg - INFO - Iter [60550/80000]	lr: 3.361e-05, eta: 1:47:02, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4889, decode.acc_seg: 80.9424, aux.loss_ce: 0.3063, aux.acc_seg: 73.0424, loss: 0.7952
2022-11-04 15:51:08,224 - mmseg - INFO - Iter [60600/80000]	lr: 3.353e-05, eta: 1:46:46, time: 0.387, data_time: 0.068, memory: 9985, decode.loss_ce: 0.4826, decode.acc_seg: 81.0715, aux.loss_ce: 0.3019, aux.acc_seg: 73.0450, loss: 0.7845
2022-11-04 15:51:24,607 - mmseg - INFO - Iter [60650/80000]	lr: 3.345e-05, eta: 1:46:30, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5041, decode.acc_seg: 80.5408, aux.loss_ce: 0.3212, aux.acc_seg: 71.8776, loss: 0.8252
2022-11-04 15:51:40,984 - mmseg - INFO - Iter [60700/80000]	lr: 3.338e-05, eta: 1:46:13, time: 0.328, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4903, decode.acc_seg: 80.6065, aux.loss_ce: 0.3041, aux.acc_seg: 72.6189, loss: 0.7945
2022-11-04 15:51:56,968 - mmseg - INFO - Iter [60750/80000]	lr: 3.330e-05, eta: 1:45:57, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4844, decode.acc_seg: 81.4390, aux.loss_ce: 0.3095, aux.acc_seg: 72.7208, loss: 0.7939
2022-11-04 15:52:13,038 - mmseg - INFO - Iter [60800/80000]	lr: 3.322e-05, eta: 1:45:40, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4851, decode.acc_seg: 81.4438, aux.loss_ce: 0.3038, aux.acc_seg: 73.0846, loss: 0.7889
2022-11-04 15:52:29,111 - mmseg - INFO - Iter [60850/80000]	lr: 3.314e-05, eta: 1:45:23, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5063, decode.acc_seg: 80.3635, aux.loss_ce: 0.3289, aux.acc_seg: 70.9258, loss: 0.8352
2022-11-04 15:52:45,415 - mmseg - INFO - Iter [60900/80000]	lr: 3.306e-05, eta: 1:45:07, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5230, decode.acc_seg: 80.0775, aux.loss_ce: 0.3287, aux.acc_seg: 71.3218, loss: 0.8518
2022-11-04 15:53:01,743 - mmseg - INFO - Iter [60950/80000]	lr: 3.299e-05, eta: 1:44:50, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4908, decode.acc_seg: 80.7830, aux.loss_ce: 0.3068, aux.acc_seg: 72.2816, loss: 0.7976
2022-11-04 15:53:17,700 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 15:53:17,701 - mmseg - INFO - Iter [61000/80000]	lr: 3.291e-05, eta: 1:44:33, time: 0.319, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4957, decode.acc_seg: 80.6755, aux.loss_ce: 0.3117, aux.acc_seg: 72.0422, loss: 0.8074
2022-11-04 15:53:33,736 - mmseg - INFO - Iter [61050/80000]	lr: 3.283e-05, eta: 1:44:17, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4989, decode.acc_seg: 80.9234, aux.loss_ce: 0.3216, aux.acc_seg: 72.0347, loss: 0.8204
2022-11-04 15:53:49,880 - mmseg - INFO - Iter [61100/80000]	lr: 3.275e-05, eta: 1:44:00, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4950, decode.acc_seg: 81.3017, aux.loss_ce: 0.3130, aux.acc_seg: 72.7616, loss: 0.8080
2022-11-04 15:54:06,062 - mmseg - INFO - Iter [61150/80000]	lr: 3.267e-05, eta: 1:43:44, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5026, decode.acc_seg: 80.7246, aux.loss_ce: 0.3191, aux.acc_seg: 71.7341, loss: 0.8217
2022-11-04 15:54:22,058 - mmseg - INFO - Iter [61200/80000]	lr: 3.260e-05, eta: 1:43:27, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4999, decode.acc_seg: 80.4207, aux.loss_ce: 0.3206, aux.acc_seg: 71.4566, loss: 0.8205
2022-11-04 15:54:41,452 - mmseg - INFO - Iter [61250/80000]	lr: 3.252e-05, eta: 1:43:11, time: 0.388, data_time: 0.065, memory: 9985, decode.loss_ce: 0.5076, decode.acc_seg: 80.4174, aux.loss_ce: 0.3258, aux.acc_seg: 71.0595, loss: 0.8334
2022-11-04 15:54:57,789 - mmseg - INFO - Iter [61300/80000]	lr: 3.244e-05, eta: 1:42:55, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5068, decode.acc_seg: 80.4240, aux.loss_ce: 0.3140, aux.acc_seg: 72.1227, loss: 0.8208
2022-11-04 15:55:13,957 - mmseg - INFO - Iter [61350/80000]	lr: 3.236e-05, eta: 1:42:38, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4881, decode.acc_seg: 81.0016, aux.loss_ce: 0.3072, aux.acc_seg: 72.8371, loss: 0.7952
2022-11-04 15:55:30,163 - mmseg - INFO - Iter [61400/80000]	lr: 3.228e-05, eta: 1:42:21, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5038, decode.acc_seg: 80.4771, aux.loss_ce: 0.3151, aux.acc_seg: 71.7666, loss: 0.8189
2022-11-04 15:55:46,280 - mmseg - INFO - Iter [61450/80000]	lr: 3.221e-05, eta: 1:42:05, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4954, decode.acc_seg: 81.2218, aux.loss_ce: 0.3165, aux.acc_seg: 72.3765, loss: 0.8120
2022-11-04 15:56:02,530 - mmseg - INFO - Iter [61500/80000]	lr: 3.213e-05, eta: 1:41:48, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4978, decode.acc_seg: 80.8614, aux.loss_ce: 0.3131, aux.acc_seg: 72.1903, loss: 0.8109
2022-11-04 15:56:18,813 - mmseg - INFO - Iter [61550/80000]	lr: 3.205e-05, eta: 1:41:32, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5028, decode.acc_seg: 80.3208, aux.loss_ce: 0.3122, aux.acc_seg: 72.4864, loss: 0.8150
2022-11-04 15:56:34,934 - mmseg - INFO - Iter [61600/80000]	lr: 3.197e-05, eta: 1:41:15, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5115, decode.acc_seg: 80.6531, aux.loss_ce: 0.3241, aux.acc_seg: 71.8514, loss: 0.8356
2022-11-04 15:56:51,233 - mmseg - INFO - Iter [61650/80000]	lr: 3.189e-05, eta: 1:40:58, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4972, decode.acc_seg: 80.8918, aux.loss_ce: 0.3056, aux.acc_seg: 72.6659, loss: 0.8028
2022-11-04 15:57:07,479 - mmseg - INFO - Iter [61700/80000]	lr: 3.181e-05, eta: 1:40:42, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5110, decode.acc_seg: 80.5159, aux.loss_ce: 0.3201, aux.acc_seg: 71.8633, loss: 0.8312
2022-11-04 15:57:23,770 - mmseg - INFO - Iter [61750/80000]	lr: 3.174e-05, eta: 1:40:25, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4939, decode.acc_seg: 81.0463, aux.loss_ce: 0.3093, aux.acc_seg: 72.5019, loss: 0.8032
2022-11-04 15:57:40,109 - mmseg - INFO - Iter [61800/80000]	lr: 3.166e-05, eta: 1:40:09, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4915, decode.acc_seg: 81.2233, aux.loss_ce: 0.3135, aux.acc_seg: 72.3373, loss: 0.8050
2022-11-04 15:57:59,213 - mmseg - INFO - Iter [61850/80000]	lr: 3.158e-05, eta: 1:39:53, time: 0.382, data_time: 0.066, memory: 9985, decode.loss_ce: 0.4881, decode.acc_seg: 81.1995, aux.loss_ce: 0.3043, aux.acc_seg: 72.9577, loss: 0.7925
2022-11-04 15:58:15,817 - mmseg - INFO - Iter [61900/80000]	lr: 3.150e-05, eta: 1:39:37, time: 0.332, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5086, decode.acc_seg: 80.0975, aux.loss_ce: 0.3178, aux.acc_seg: 71.7947, loss: 0.8264
2022-11-04 15:58:31,824 - mmseg - INFO - Iter [61950/80000]	lr: 3.142e-05, eta: 1:39:20, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5094, decode.acc_seg: 80.5059, aux.loss_ce: 0.3231, aux.acc_seg: 71.3503, loss: 0.8325
2022-11-04 15:58:48,055 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 15:58:48,055 - mmseg - INFO - Iter [62000/80000]	lr: 3.134e-05, eta: 1:39:03, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4882, decode.acc_seg: 81.1696, aux.loss_ce: 0.3140, aux.acc_seg: 72.2019, loss: 0.8022
2022-11-04 15:59:04,242 - mmseg - INFO - Iter [62050/80000]	lr: 3.127e-05, eta: 1:38:47, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4807, decode.acc_seg: 81.4175, aux.loss_ce: 0.3031, aux.acc_seg: 73.4595, loss: 0.7838
2022-11-04 15:59:20,474 - mmseg - INFO - Iter [62100/80000]	lr: 3.119e-05, eta: 1:38:30, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5000, decode.acc_seg: 81.0411, aux.loss_ce: 0.3150, aux.acc_seg: 72.2585, loss: 0.8150
2022-11-04 15:59:36,692 - mmseg - INFO - Iter [62150/80000]	lr: 3.111e-05, eta: 1:38:13, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4946, decode.acc_seg: 80.7855, aux.loss_ce: 0.3140, aux.acc_seg: 71.9738, loss: 0.8086
2022-11-04 15:59:52,777 - mmseg - INFO - Iter [62200/80000]	lr: 3.103e-05, eta: 1:37:57, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4805, decode.acc_seg: 81.3970, aux.loss_ce: 0.3039, aux.acc_seg: 73.0418, loss: 0.7843
2022-11-04 16:00:09,241 - mmseg - INFO - Iter [62250/80000]	lr: 3.095e-05, eta: 1:37:40, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5004, decode.acc_seg: 80.4669, aux.loss_ce: 0.3161, aux.acc_seg: 71.9368, loss: 0.8166
2022-11-04 16:00:25,176 - mmseg - INFO - Iter [62300/80000]	lr: 3.087e-05, eta: 1:37:24, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5112, decode.acc_seg: 80.5251, aux.loss_ce: 0.3175, aux.acc_seg: 72.1114, loss: 0.8286
2022-11-04 16:00:41,186 - mmseg - INFO - Iter [62350/80000]	lr: 3.080e-05, eta: 1:37:07, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4853, decode.acc_seg: 80.8044, aux.loss_ce: 0.3139, aux.acc_seg: 71.9271, loss: 0.7992
2022-11-04 16:00:57,404 - mmseg - INFO - Iter [62400/80000]	lr: 3.072e-05, eta: 1:36:50, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4797, decode.acc_seg: 81.5058, aux.loss_ce: 0.3055, aux.acc_seg: 72.5039, loss: 0.7852
2022-11-04 16:01:13,413 - mmseg - INFO - Iter [62450/80000]	lr: 3.064e-05, eta: 1:36:34, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4920, decode.acc_seg: 80.9556, aux.loss_ce: 0.3117, aux.acc_seg: 72.3589, loss: 0.8036
2022-11-04 16:01:32,732 - mmseg - INFO - Iter [62500/80000]	lr: 3.056e-05, eta: 1:36:18, time: 0.386, data_time: 0.059, memory: 9985, decode.loss_ce: 0.4807, decode.acc_seg: 81.1624, aux.loss_ce: 0.3072, aux.acc_seg: 72.6479, loss: 0.7879
2022-11-04 16:01:48,673 - mmseg - INFO - Iter [62550/80000]	lr: 3.048e-05, eta: 1:36:01, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5023, decode.acc_seg: 80.5760, aux.loss_ce: 0.3159, aux.acc_seg: 72.0335, loss: 0.8182
2022-11-04 16:02:05,136 - mmseg - INFO - Iter [62600/80000]	lr: 3.040e-05, eta: 1:35:45, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4970, decode.acc_seg: 80.6013, aux.loss_ce: 0.3101, aux.acc_seg: 72.1106, loss: 0.8072
2022-11-04 16:02:21,137 - mmseg - INFO - Iter [62650/80000]	lr: 3.032e-05, eta: 1:35:28, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4826, decode.acc_seg: 81.0728, aux.loss_ce: 0.3032, aux.acc_seg: 73.2080, loss: 0.7857
2022-11-04 16:02:37,458 - mmseg - INFO - Iter [62700/80000]	lr: 3.025e-05, eta: 1:35:12, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4937, decode.acc_seg: 81.3266, aux.loss_ce: 0.3056, aux.acc_seg: 73.1256, loss: 0.7993
2022-11-04 16:02:53,791 - mmseg - INFO - Iter [62750/80000]	lr: 3.017e-05, eta: 1:34:55, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4973, decode.acc_seg: 81.0010, aux.loss_ce: 0.3131, aux.acc_seg: 72.3877, loss: 0.8103
2022-11-04 16:03:10,032 - mmseg - INFO - Iter [62800/80000]	lr: 3.009e-05, eta: 1:34:39, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4875, decode.acc_seg: 80.9883, aux.loss_ce: 0.3053, aux.acc_seg: 72.2470, loss: 0.7928
2022-11-04 16:03:26,098 - mmseg - INFO - Iter [62850/80000]	lr: 3.001e-05, eta: 1:34:22, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5180, decode.acc_seg: 79.9943, aux.loss_ce: 0.3193, aux.acc_seg: 71.9159, loss: 0.8373
2022-11-04 16:03:42,135 - mmseg - INFO - Iter [62900/80000]	lr: 2.993e-05, eta: 1:34:05, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5001, decode.acc_seg: 80.4016, aux.loss_ce: 0.3105, aux.acc_seg: 72.0359, loss: 0.8105
2022-11-04 16:03:58,339 - mmseg - INFO - Iter [62950/80000]	lr: 2.985e-05, eta: 1:33:49, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4964, decode.acc_seg: 80.8260, aux.loss_ce: 0.3093, aux.acc_seg: 72.8448, loss: 0.8057
2022-11-04 16:04:14,486 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 16:04:14,486 - mmseg - INFO - Iter [63000/80000]	lr: 2.977e-05, eta: 1:33:32, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4893, decode.acc_seg: 80.8795, aux.loss_ce: 0.3117, aux.acc_seg: 71.9761, loss: 0.8009
2022-11-04 16:04:30,660 - mmseg - INFO - Iter [63050/80000]	lr: 2.969e-05, eta: 1:33:15, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5047, decode.acc_seg: 80.3278, aux.loss_ce: 0.3152, aux.acc_seg: 72.2182, loss: 0.8199
2022-11-04 16:04:46,507 - mmseg - INFO - Iter [63100/80000]	lr: 2.962e-05, eta: 1:32:59, time: 0.317, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4968, decode.acc_seg: 80.9846, aux.loss_ce: 0.3109, aux.acc_seg: 72.3689, loss: 0.8077
2022-11-04 16:05:05,842 - mmseg - INFO - Iter [63150/80000]	lr: 2.954e-05, eta: 1:32:43, time: 0.387, data_time: 0.057, memory: 9985, decode.loss_ce: 0.4906, decode.acc_seg: 81.0509, aux.loss_ce: 0.3065, aux.acc_seg: 72.3648, loss: 0.7971
2022-11-04 16:05:21,961 - mmseg - INFO - Iter [63200/80000]	lr: 2.946e-05, eta: 1:32:26, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4880, decode.acc_seg: 81.0302, aux.loss_ce: 0.3123, aux.acc_seg: 71.9625, loss: 0.8002
2022-11-04 16:05:38,043 - mmseg - INFO - Iter [63250/80000]	lr: 2.938e-05, eta: 1:32:10, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4993, decode.acc_seg: 80.8232, aux.loss_ce: 0.3203, aux.acc_seg: 71.8056, loss: 0.8196
2022-11-04 16:05:54,092 - mmseg - INFO - Iter [63300/80000]	lr: 2.930e-05, eta: 1:31:53, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5011, decode.acc_seg: 80.9711, aux.loss_ce: 0.3203, aux.acc_seg: 72.0786, loss: 0.8214
2022-11-04 16:06:10,214 - mmseg - INFO - Iter [63350/80000]	lr: 2.922e-05, eta: 1:31:37, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4880, decode.acc_seg: 81.1654, aux.loss_ce: 0.3067, aux.acc_seg: 72.6652, loss: 0.7947
2022-11-04 16:06:26,127 - mmseg - INFO - Iter [63400/80000]	lr: 2.914e-05, eta: 1:31:20, time: 0.318, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4786, decode.acc_seg: 81.4729, aux.loss_ce: 0.3043, aux.acc_seg: 72.8894, loss: 0.7829
2022-11-04 16:06:42,209 - mmseg - INFO - Iter [63450/80000]	lr: 2.906e-05, eta: 1:31:03, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5004, decode.acc_seg: 80.8651, aux.loss_ce: 0.3168, aux.acc_seg: 72.1766, loss: 0.8172
2022-11-04 16:06:58,426 - mmseg - INFO - Iter [63500/80000]	lr: 2.898e-05, eta: 1:30:47, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5071, decode.acc_seg: 80.6219, aux.loss_ce: 0.3188, aux.acc_seg: 72.1124, loss: 0.8259
2022-11-04 16:07:14,605 - mmseg - INFO - Iter [63550/80000]	lr: 2.891e-05, eta: 1:30:30, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4892, decode.acc_seg: 80.9386, aux.loss_ce: 0.3118, aux.acc_seg: 72.2184, loss: 0.8010
2022-11-04 16:07:30,644 - mmseg - INFO - Iter [63600/80000]	lr: 2.883e-05, eta: 1:30:13, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4802, decode.acc_seg: 80.9933, aux.loss_ce: 0.3024, aux.acc_seg: 72.4322, loss: 0.7826
2022-11-04 16:07:46,709 - mmseg - INFO - Iter [63650/80000]	lr: 2.875e-05, eta: 1:29:57, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4866, decode.acc_seg: 81.3318, aux.loss_ce: 0.3145, aux.acc_seg: 72.4841, loss: 0.8010
2022-11-04 16:08:03,052 - mmseg - INFO - Iter [63700/80000]	lr: 2.867e-05, eta: 1:29:40, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4922, decode.acc_seg: 81.1255, aux.loss_ce: 0.3135, aux.acc_seg: 72.4605, loss: 0.8057
2022-11-04 16:08:22,113 - mmseg - INFO - Iter [63750/80000]	lr: 2.859e-05, eta: 1:29:24, time: 0.381, data_time: 0.062, memory: 9985, decode.loss_ce: 0.5133, decode.acc_seg: 80.0946, aux.loss_ce: 0.3170, aux.acc_seg: 71.7127, loss: 0.8303
2022-11-04 16:08:38,327 - mmseg - INFO - Iter [63800/80000]	lr: 2.851e-05, eta: 1:29:08, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4858, decode.acc_seg: 81.4143, aux.loss_ce: 0.3120, aux.acc_seg: 72.3984, loss: 0.7978
2022-11-04 16:08:54,436 - mmseg - INFO - Iter [63850/80000]	lr: 2.843e-05, eta: 1:28:51, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4960, decode.acc_seg: 80.9356, aux.loss_ce: 0.3172, aux.acc_seg: 72.1319, loss: 0.8132
2022-11-04 16:09:10,810 - mmseg - INFO - Iter [63900/80000]	lr: 2.835e-05, eta: 1:28:35, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4777, decode.acc_seg: 81.6004, aux.loss_ce: 0.3046, aux.acc_seg: 72.8218, loss: 0.7823
2022-11-04 16:09:26,694 - mmseg - INFO - Iter [63950/80000]	lr: 2.827e-05, eta: 1:28:18, time: 0.318, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4845, decode.acc_seg: 80.8579, aux.loss_ce: 0.3075, aux.acc_seg: 72.1152, loss: 0.7920
2022-11-04 16:09:43,081 - mmseg - INFO - Saving checkpoint at 64000 iterations
2022-11-04 16:09:43,310 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 16:09:43,311 - mmseg - INFO - Iter [64000/80000]	lr: 2.819e-05, eta: 1:28:02, time: 0.332, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4895, decode.acc_seg: 81.2195, aux.loss_ce: 0.3097, aux.acc_seg: 72.6411, loss: 0.7991
2022-11-04 16:09:52,038 - mmseg - INFO - per class results:
2022-11-04 16:09:52,045 - mmseg - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 65.45 | 84.27 |
|       building      | 75.22 | 89.05 |
|         sky         | 90.44 | 95.17 |
|        floor        | 69.71 |  86.1 |
|         tree        | 65.28 | 84.21 |
|       ceiling       | 76.23 | 87.35 |
|         road        | 75.76 |  85.8 |
|         bed         | 73.17 |  88.2 |
|      windowpane     | 49.23 | 69.27 |
|        grass        | 63.64 |  83.0 |
|       cabinet       | 45.46 | 58.29 |
|       sidewalk      | 51.65 | 70.84 |
|        person       | 63.19 | 79.53 |
|        earth        | 29.03 | 38.62 |
|         door        | 26.01 | 32.27 |
|        table        | 38.58 | 54.58 |
|       mountain      | 53.44 | 71.32 |
|        plant        |  39.4 | 49.48 |
|       curtain       | 53.16 | 70.45 |
|        chair        | 35.09 | 47.36 |
|         car         | 70.69 | 84.87 |
|        water        |  41.0 | 56.63 |
|       painting      | 54.83 | 70.25 |
|         sofa        | 47.34 | 66.19 |
|        shelf        |  31.7 | 46.44 |
|        house        | 46.04 | 57.52 |
|         sea         | 45.58 | 73.06 |
|        mirror       | 41.22 | 50.69 |
|         rug         | 35.63 | 42.19 |
|        field        | 23.73 |  35.2 |
|       armchair      | 24.44 | 34.96 |
|         seat        | 49.82 | 72.06 |
|        fence        | 17.22 | 20.55 |
|         desk        | 34.53 | 56.09 |
|         rock        | 33.17 | 51.73 |
|       wardrobe      | 40.44 | 56.66 |
|         lamp        | 34.27 | 47.05 |
|       bathtub       | 51.24 | 66.82 |
|       railing       | 25.01 | 37.37 |
|       cushion       | 29.51 | 39.05 |
|         base        |  17.8 | 27.13 |
|         box         | 10.83 |  14.5 |
|        column       |  28.2 | 34.47 |
|      signboard      | 20.62 | 27.03 |
|   chest of drawers  | 31.44 | 47.18 |
|       counter       | 30.67 | 36.57 |
|         sand        | 19.22 | 30.89 |
|         sink        | 43.45 | 54.35 |
|      skyscraper     | 56.49 | 69.93 |
|      fireplace      | 49.94 | 68.93 |
|     refrigerator    | 49.38 |  62.0 |
|      grandstand     | 41.76 | 63.43 |
|         path        |  20.6 | 28.03 |
|        stairs       | 21.04 | 25.56 |
|        runway       | 72.77 | 90.21 |
|         case        | 36.33 | 56.69 |
|      pool table     | 80.79 | 86.94 |
|        pillow       | 35.18 | 46.49 |
|     screen door     | 46.33 | 55.63 |
|       stairway      | 22.49 | 29.93 |
|        river        |  9.59 | 24.13 |
|        bridge       | 21.34 | 30.11 |
|       bookcase      | 25.06 | 39.68 |
|        blind        | 13.71 | 16.18 |
|     coffee table    | 39.05 | 65.82 |
|        toilet       |  61.9 | 78.57 |
|        flower       | 22.35 | 38.61 |
|         book        | 36.56 | 50.15 |
|         hill        |  3.8  |  6.63 |
|        bench        | 32.25 | 44.64 |
|      countertop     | 35.24 | 52.38 |
|        stove        | 46.76 | 58.49 |
|         palm        | 34.03 | 49.59 |
|    kitchen island   | 17.55 | 37.34 |
|       computer      | 42.07 |  56.8 |
|     swivel chair    | 25.71 | 37.95 |
|         boat        | 31.29 | 46.76 |
|         bar         | 14.74 | 16.74 |
|    arcade machine   | 23.42 | 31.77 |
|        hovel        | 42.16 | 51.11 |
|         bus         | 62.53 | 80.69 |
|        towel        | 31.23 | 40.83 |
|        light        | 13.32 | 14.42 |
|        truck        | 11.43 | 14.06 |
|        tower        | 40.45 | 49.73 |
|      chandelier     | 45.32 | 55.46 |
|        awning       |  14.3 | 17.13 |
|     streetlight     |  4.33 |  4.7  |
|        booth        | 26.59 | 29.21 |
| television receiver | 49.86 | 62.46 |
|       airplane      | 41.28 | 55.24 |
|      dirt track     |  8.71 | 14.09 |
|       apparel       | 17.78 |  23.3 |
|         pole        |  3.15 |  3.48 |
|         land        |  0.12 |  0.17 |
|      bannister      |  5.95 |  8.76 |
|      escalator      | 21.48 | 23.02 |
|       ottoman       | 11.01 | 12.56 |
|        bottle       |  12.5 |  14.6 |
|        buffet       | 36.83 | 45.42 |
|        poster       |  9.51 | 11.61 |
|        stage        |  8.57 | 15.37 |
|         van         | 20.03 | 24.25 |
|         ship        | 62.05 | 87.36 |
|       fountain      | 18.14 | 18.96 |
|    conveyer belt    | 61.52 | 73.34 |
|        canopy       | 24.68 | 36.15 |
|        washer       | 56.15 | 63.69 |
|      plaything      |  3.36 |  4.24 |
|    swimming pool    | 30.46 | 38.22 |
|        stool        |  5.08 |  6.14 |
|        barrel       | 34.33 | 57.05 |
|        basket       | 10.79 | 12.32 |
|      waterfall      | 39.92 |  50.0 |
|         tent        | 79.16 | 98.11 |
|         bag         |  1.57 |  1.69 |
|       minibike      | 46.62 | 57.69 |
|        cradle       | 55.85 | 77.67 |
|         oven        |  25.9 | 30.39 |
|         ball        | 22.22 | 26.04 |
|         food        | 43.25 | 55.46 |
|         step        |  6.0  |  7.27 |
|         tank        | 27.32 | 30.82 |
|      trade name     | 15.48 | 16.77 |
|      microwave      | 22.87 | 25.46 |
|         pot         | 26.84 | 31.73 |
|        animal       | 38.58 | 42.74 |
|       bicycle       | 38.25 | 49.74 |
|         lake        | 51.54 | 62.01 |
|      dishwasher     | 32.39 | 43.94 |
|        screen       | 50.67 |  66.1 |
|       blanket       |  0.28 |  0.3  |
|      sculpture      | 11.21 | 14.12 |
|         hood        | 27.19 | 31.01 |
|        sconce       |  9.79 |  10.4 |
|         vase        | 12.45 | 15.75 |
|    traffic light    | 11.26 |  13.6 |
|         tray        |  1.99 |  3.32 |
|        ashcan       | 12.92 | 15.68 |
|         fan         | 23.69 | 28.58 |
|         pier        | 43.37 | 62.29 |
|      crt screen     |  0.04 |  0.06 |
|        plate        | 24.47 |  28.5 |
|       monitor       |  2.75 |  2.85 |
|    bulletin board   | 25.79 | 31.43 |
|        shower       |  0.0  |  0.0  |
|       radiator      | 28.69 | 31.42 |
|        glass        |  1.03 |  1.06 |
|        clock        |  5.1  |  5.51 |
|         flag        | 15.54 | 16.88 |
+---------------------+-------+-------+
2022-11-04 16:09:52,045 - mmseg - INFO - Summary:
2022-11-04 16:09:52,046 - mmseg - INFO - 
+-------+-------+-------+
|  aAcc |  mIoU |  mAcc |
+-------+-------+-------+
| 74.84 | 32.77 | 42.56 |
+-------+-------+-------+
2022-11-04 16:09:52,047 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 16:09:52,047 - mmseg - INFO - Iter(val) [250]	aAcc: 0.7484, mIoU: 0.3277, mAcc: 0.4256, IoU.wall: 0.6545, IoU.building: 0.7522, IoU.sky: 0.9044, IoU.floor: 0.6971, IoU.tree: 0.6528, IoU.ceiling: 0.7623, IoU.road: 0.7576, IoU.bed : 0.7317, IoU.windowpane: 0.4923, IoU.grass: 0.6364, IoU.cabinet: 0.4546, IoU.sidewalk: 0.5165, IoU.person: 0.6319, IoU.earth: 0.2903, IoU.door: 0.2601, IoU.table: 0.3858, IoU.mountain: 0.5344, IoU.plant: 0.3940, IoU.curtain: 0.5316, IoU.chair: 0.3509, IoU.car: 0.7069, IoU.water: 0.4100, IoU.painting: 0.5483, IoU.sofa: 0.4734, IoU.shelf: 0.3170, IoU.house: 0.4604, IoU.sea: 0.4558, IoU.mirror: 0.4122, IoU.rug: 0.3563, IoU.field: 0.2373, IoU.armchair: 0.2444, IoU.seat: 0.4982, IoU.fence: 0.1722, IoU.desk: 0.3453, IoU.rock: 0.3317, IoU.wardrobe: 0.4044, IoU.lamp: 0.3427, IoU.bathtub: 0.5124, IoU.railing: 0.2501, IoU.cushion: 0.2951, IoU.base: 0.1780, IoU.box: 0.1083, IoU.column: 0.2820, IoU.signboard: 0.2062, IoU.chest of drawers: 0.3144, IoU.counter: 0.3067, IoU.sand: 0.1922, IoU.sink: 0.4345, IoU.skyscraper: 0.5649, IoU.fireplace: 0.4994, IoU.refrigerator: 0.4938, IoU.grandstand: 0.4176, IoU.path: 0.2060, IoU.stairs: 0.2104, IoU.runway: 0.7277, IoU.case: 0.3633, IoU.pool table: 0.8079, IoU.pillow: 0.3518, IoU.screen door: 0.4633, IoU.stairway: 0.2249, IoU.river: 0.0959, IoU.bridge: 0.2134, IoU.bookcase: 0.2506, IoU.blind: 0.1371, IoU.coffee table: 0.3905, IoU.toilet: 0.6190, IoU.flower: 0.2235, IoU.book: 0.3656, IoU.hill: 0.0380, IoU.bench: 0.3225, IoU.countertop: 0.3524, IoU.stove: 0.4676, IoU.palm: 0.3403, IoU.kitchen island: 0.1755, IoU.computer: 0.4207, IoU.swivel chair: 0.2571, IoU.boat: 0.3129, IoU.bar: 0.1474, IoU.arcade machine: 0.2342, IoU.hovel: 0.4216, IoU.bus: 0.6253, IoU.towel: 0.3123, IoU.light: 0.1332, IoU.truck: 0.1143, IoU.tower: 0.4045, IoU.chandelier: 0.4532, IoU.awning: 0.1430, IoU.streetlight: 0.0433, IoU.booth: 0.2659, IoU.television receiver: 0.4986, IoU.airplane: 0.4128, IoU.dirt track: 0.0871, IoU.apparel: 0.1778, IoU.pole: 0.0315, IoU.land: 0.0012, IoU.bannister: 0.0595, IoU.escalator: 0.2148, IoU.ottoman: 0.1101, IoU.bottle: 0.1250, IoU.buffet: 0.3683, IoU.poster: 0.0951, IoU.stage: 0.0857, IoU.van: 0.2003, IoU.ship: 0.6205, IoU.fountain: 0.1814, IoU.conveyer belt: 0.6152, IoU.canopy: 0.2468, IoU.washer: 0.5615, IoU.plaything: 0.0336, IoU.swimming pool: 0.3046, IoU.stool: 0.0508, IoU.barrel: 0.3433, IoU.basket: 0.1079, IoU.waterfall: 0.3992, IoU.tent: 0.7916, IoU.bag: 0.0157, IoU.minibike: 0.4662, IoU.cradle: 0.5585, IoU.oven: 0.2590, IoU.ball: 0.2222, IoU.food: 0.4325, IoU.step: 0.0600, IoU.tank: 0.2732, IoU.trade name: 0.1548, IoU.microwave: 0.2287, IoU.pot: 0.2684, IoU.animal: 0.3858, IoU.bicycle: 0.3825, IoU.lake: 0.5154, IoU.dishwasher: 0.3239, IoU.screen: 0.5067, IoU.blanket: 0.0028, IoU.sculpture: 0.1121, IoU.hood: 0.2719, IoU.sconce: 0.0979, IoU.vase: 0.1245, IoU.traffic light: 0.1126, IoU.tray: 0.0199, IoU.ashcan: 0.1292, IoU.fan: 0.2369, IoU.pier: 0.4337, IoU.crt screen: 0.0004, IoU.plate: 0.2447, IoU.monitor: 0.0275, IoU.bulletin board: 0.2579, IoU.shower: 0.0000, IoU.radiator: 0.2869, IoU.glass: 0.0103, IoU.clock: 0.0510, IoU.flag: 0.1554, Acc.wall: 0.8427, Acc.building: 0.8905, Acc.sky: 0.9517, Acc.floor: 0.8610, Acc.tree: 0.8421, Acc.ceiling: 0.8735, Acc.road: 0.8580, Acc.bed : 0.8820, Acc.windowpane: 0.6927, Acc.grass: 0.8300, Acc.cabinet: 0.5829, Acc.sidewalk: 0.7084, Acc.person: 0.7953, Acc.earth: 0.3862, Acc.door: 0.3227, Acc.table: 0.5458, Acc.mountain: 0.7132, Acc.plant: 0.4948, Acc.curtain: 0.7045, Acc.chair: 0.4736, Acc.car: 0.8487, Acc.water: 0.5663, Acc.painting: 0.7025, Acc.sofa: 0.6619, Acc.shelf: 0.4644, Acc.house: 0.5752, Acc.sea: 0.7306, Acc.mirror: 0.5069, Acc.rug: 0.4219, Acc.field: 0.3520, Acc.armchair: 0.3496, Acc.seat: 0.7206, Acc.fence: 0.2055, Acc.desk: 0.5609, Acc.rock: 0.5173, Acc.wardrobe: 0.5666, Acc.lamp: 0.4705, Acc.bathtub: 0.6682, Acc.railing: 0.3737, Acc.cushion: 0.3905, Acc.base: 0.2713, Acc.box: 0.1450, Acc.column: 0.3447, Acc.signboard: 0.2703, Acc.chest of drawers: 0.4718, Acc.counter: 0.3657, Acc.sand: 0.3089, Acc.sink: 0.5435, Acc.skyscraper: 0.6993, Acc.fireplace: 0.6893, Acc.refrigerator: 0.6200, Acc.grandstand: 0.6343, Acc.path: 0.2803, Acc.stairs: 0.2556, Acc.runway: 0.9021, Acc.case: 0.5669, Acc.pool table: 0.8694, Acc.pillow: 0.4649, Acc.screen door: 0.5563, Acc.stairway: 0.2993, Acc.river: 0.2413, Acc.bridge: 0.3011, Acc.bookcase: 0.3968, Acc.blind: 0.1618, Acc.coffee table: 0.6582, Acc.toilet: 0.7857, Acc.flower: 0.3861, Acc.book: 0.5015, Acc.hill: 0.0663, Acc.bench: 0.4464, Acc.countertop: 0.5238, Acc.stove: 0.5849, Acc.palm: 0.4959, Acc.kitchen island: 0.3734, Acc.computer: 0.5680, Acc.swivel chair: 0.3795, Acc.boat: 0.4676, Acc.bar: 0.1674, Acc.arcade machine: 0.3177, Acc.hovel: 0.5111, Acc.bus: 0.8069, Acc.towel: 0.4083, Acc.light: 0.1442, Acc.truck: 0.1406, Acc.tower: 0.4973, Acc.chandelier: 0.5546, Acc.awning: 0.1713, Acc.streetlight: 0.0470, Acc.booth: 0.2921, Acc.television receiver: 0.6246, Acc.airplane: 0.5524, Acc.dirt track: 0.1409, Acc.apparel: 0.2330, Acc.pole: 0.0348, Acc.land: 0.0017, Acc.bannister: 0.0876, Acc.escalator: 0.2302, Acc.ottoman: 0.1256, Acc.bottle: 0.1460, Acc.buffet: 0.4542, Acc.poster: 0.1161, Acc.stage: 0.1537, Acc.van: 0.2425, Acc.ship: 0.8736, Acc.fountain: 0.1896, Acc.conveyer belt: 0.7334, Acc.canopy: 0.3615, Acc.washer: 0.6369, Acc.plaything: 0.0424, Acc.swimming pool: 0.3822, Acc.stool: 0.0614, Acc.barrel: 0.5705, Acc.basket: 0.1232, Acc.waterfall: 0.5000, Acc.tent: 0.9811, Acc.bag: 0.0169, Acc.minibike: 0.5769, Acc.cradle: 0.7767, Acc.oven: 0.3039, Acc.ball: 0.2604, Acc.food: 0.5546, Acc.step: 0.0727, Acc.tank: 0.3082, Acc.trade name: 0.1677, Acc.microwave: 0.2546, Acc.pot: 0.3173, Acc.animal: 0.4274, Acc.bicycle: 0.4974, Acc.lake: 0.6201, Acc.dishwasher: 0.4394, Acc.screen: 0.6610, Acc.blanket: 0.0030, Acc.sculpture: 0.1412, Acc.hood: 0.3101, Acc.sconce: 0.1040, Acc.vase: 0.1575, Acc.traffic light: 0.1360, Acc.tray: 0.0332, Acc.ashcan: 0.1568, Acc.fan: 0.2858, Acc.pier: 0.6229, Acc.crt screen: 0.0006, Acc.plate: 0.2850, Acc.monitor: 0.0285, Acc.bulletin board: 0.3143, Acc.shower: 0.0000, Acc.radiator: 0.3142, Acc.glass: 0.0106, Acc.clock: 0.0551, Acc.flag: 0.1688
2022-11-04 16:10:08,081 - mmseg - INFO - Iter [64050/80000]	lr: 2.811e-05, eta: 1:27:47, time: 0.495, data_time: 0.184, memory: 9985, decode.loss_ce: 0.4848, decode.acc_seg: 81.1569, aux.loss_ce: 0.3074, aux.acc_seg: 72.4646, loss: 0.7922
2022-11-04 16:10:24,229 - mmseg - INFO - Iter [64100/80000]	lr: 2.803e-05, eta: 1:27:31, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4823, decode.acc_seg: 81.0220, aux.loss_ce: 0.3096, aux.acc_seg: 72.1012, loss: 0.7919
2022-11-04 16:10:40,462 - mmseg - INFO - Iter [64150/80000]	lr: 2.795e-05, eta: 1:27:14, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5022, decode.acc_seg: 80.3224, aux.loss_ce: 0.3230, aux.acc_seg: 71.0828, loss: 0.8252
2022-11-04 16:10:56,599 - mmseg - INFO - Iter [64200/80000]	lr: 2.788e-05, eta: 1:26:57, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5008, decode.acc_seg: 80.7846, aux.loss_ce: 0.3073, aux.acc_seg: 72.8555, loss: 0.8081
2022-11-04 16:11:12,787 - mmseg - INFO - Iter [64250/80000]	lr: 2.780e-05, eta: 1:26:41, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4902, decode.acc_seg: 81.0375, aux.loss_ce: 0.3042, aux.acc_seg: 73.0908, loss: 0.7944
2022-11-04 16:11:28,930 - mmseg - INFO - Iter [64300/80000]	lr: 2.772e-05, eta: 1:26:24, time: 0.323, data_time: 0.008, memory: 9985, decode.loss_ce: 0.4987, decode.acc_seg: 80.4621, aux.loss_ce: 0.3158, aux.acc_seg: 71.4826, loss: 0.8145
2022-11-04 16:11:45,277 - mmseg - INFO - Iter [64350/80000]	lr: 2.764e-05, eta: 1:26:08, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5041, decode.acc_seg: 80.4767, aux.loss_ce: 0.3139, aux.acc_seg: 72.5074, loss: 0.8180
2022-11-04 16:12:04,458 - mmseg - INFO - Iter [64400/80000]	lr: 2.756e-05, eta: 1:25:52, time: 0.384, data_time: 0.063, memory: 9985, decode.loss_ce: 0.4925, decode.acc_seg: 81.1704, aux.loss_ce: 0.3134, aux.acc_seg: 72.2783, loss: 0.8059
2022-11-04 16:12:20,746 - mmseg - INFO - Iter [64450/80000]	lr: 2.748e-05, eta: 1:25:35, time: 0.326, data_time: 0.008, memory: 9985, decode.loss_ce: 0.4895, decode.acc_seg: 81.0161, aux.loss_ce: 0.3141, aux.acc_seg: 72.2981, loss: 0.8036
2022-11-04 16:12:36,829 - mmseg - INFO - Iter [64500/80000]	lr: 2.740e-05, eta: 1:25:19, time: 0.322, data_time: 0.008, memory: 9985, decode.loss_ce: 0.5018, decode.acc_seg: 80.9866, aux.loss_ce: 0.3153, aux.acc_seg: 72.5941, loss: 0.8172
2022-11-04 16:12:53,180 - mmseg - INFO - Iter [64550/80000]	lr: 2.732e-05, eta: 1:25:02, time: 0.327, data_time: 0.008, memory: 9985, decode.loss_ce: 0.4874, decode.acc_seg: 81.0559, aux.loss_ce: 0.3016, aux.acc_seg: 72.8503, loss: 0.7889
2022-11-04 16:13:09,227 - mmseg - INFO - Iter [64600/80000]	lr: 2.724e-05, eta: 1:24:45, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4917, decode.acc_seg: 80.9693, aux.loss_ce: 0.3067, aux.acc_seg: 72.4062, loss: 0.7985
2022-11-04 16:13:25,461 - mmseg - INFO - Iter [64650/80000]	lr: 2.716e-05, eta: 1:24:29, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4879, decode.acc_seg: 81.2453, aux.loss_ce: 0.3128, aux.acc_seg: 72.6835, loss: 0.8007
2022-11-04 16:13:41,443 - mmseg - INFO - Iter [64700/80000]	lr: 2.708e-05, eta: 1:24:12, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5084, decode.acc_seg: 80.7457, aux.loss_ce: 0.3177, aux.acc_seg: 72.0624, loss: 0.8261
2022-11-04 16:13:57,962 - mmseg - INFO - Iter [64750/80000]	lr: 2.700e-05, eta: 1:23:56, time: 0.330, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4743, decode.acc_seg: 81.3271, aux.loss_ce: 0.3051, aux.acc_seg: 72.3326, loss: 0.7794
2022-11-04 16:14:14,057 - mmseg - INFO - Iter [64800/80000]	lr: 2.692e-05, eta: 1:23:39, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4836, decode.acc_seg: 81.5045, aux.loss_ce: 0.3055, aux.acc_seg: 72.9380, loss: 0.7892
2022-11-04 16:14:30,280 - mmseg - INFO - Iter [64850/80000]	lr: 2.684e-05, eta: 1:23:22, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4941, decode.acc_seg: 80.7161, aux.loss_ce: 0.3162, aux.acc_seg: 71.8171, loss: 0.8103
2022-11-04 16:14:46,467 - mmseg - INFO - Iter [64900/80000]	lr: 2.676e-05, eta: 1:23:06, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4894, decode.acc_seg: 80.9488, aux.loss_ce: 0.3123, aux.acc_seg: 72.0998, loss: 0.8018
2022-11-04 16:15:02,702 - mmseg - INFO - Iter [64950/80000]	lr: 2.668e-05, eta: 1:22:49, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5092, decode.acc_seg: 80.8402, aux.loss_ce: 0.3164, aux.acc_seg: 72.5857, loss: 0.8256
2022-11-04 16:15:21,701 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 16:15:21,701 - mmseg - INFO - Iter [65000/80000]	lr: 2.660e-05, eta: 1:22:33, time: 0.380, data_time: 0.061, memory: 9985, decode.loss_ce: 0.4969, decode.acc_seg: 80.7791, aux.loss_ce: 0.3190, aux.acc_seg: 72.0337, loss: 0.8159
2022-11-04 16:15:37,859 - mmseg - INFO - Iter [65050/80000]	lr: 2.652e-05, eta: 1:22:17, time: 0.323, data_time: 0.008, memory: 9985, decode.loss_ce: 0.4900, decode.acc_seg: 81.3820, aux.loss_ce: 0.3115, aux.acc_seg: 73.0441, loss: 0.8016
2022-11-04 16:15:54,219 - mmseg - INFO - Iter [65100/80000]	lr: 2.644e-05, eta: 1:22:00, time: 0.327, data_time: 0.008, memory: 9985, decode.loss_ce: 0.4973, decode.acc_seg: 80.7903, aux.loss_ce: 0.3177, aux.acc_seg: 72.1596, loss: 0.8150
2022-11-04 16:16:10,363 - mmseg - INFO - Iter [65150/80000]	lr: 2.636e-05, eta: 1:21:44, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4880, decode.acc_seg: 81.4791, aux.loss_ce: 0.3123, aux.acc_seg: 72.5193, loss: 0.8004
2022-11-04 16:16:26,669 - mmseg - INFO - Iter [65200/80000]	lr: 2.628e-05, eta: 1:21:27, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4979, decode.acc_seg: 80.6119, aux.loss_ce: 0.3134, aux.acc_seg: 72.1227, loss: 0.8113
2022-11-04 16:16:42,624 - mmseg - INFO - Iter [65250/80000]	lr: 2.620e-05, eta: 1:21:10, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5056, decode.acc_seg: 80.5175, aux.loss_ce: 0.3160, aux.acc_seg: 71.8859, loss: 0.8216
2022-11-04 16:16:58,581 - mmseg - INFO - Iter [65300/80000]	lr: 2.612e-05, eta: 1:20:54, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4993, decode.acc_seg: 80.7910, aux.loss_ce: 0.3122, aux.acc_seg: 71.9225, loss: 0.8115
2022-11-04 16:17:14,844 - mmseg - INFO - Iter [65350/80000]	lr: 2.604e-05, eta: 1:20:37, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4898, decode.acc_seg: 81.1037, aux.loss_ce: 0.3093, aux.acc_seg: 72.4036, loss: 0.7992
2022-11-04 16:17:31,063 - mmseg - INFO - Iter [65400/80000]	lr: 2.596e-05, eta: 1:20:21, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4767, decode.acc_seg: 81.3835, aux.loss_ce: 0.3041, aux.acc_seg: 72.5100, loss: 0.7808
2022-11-04 16:17:47,309 - mmseg - INFO - Iter [65450/80000]	lr: 2.588e-05, eta: 1:20:04, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5010, decode.acc_seg: 80.5038, aux.loss_ce: 0.3085, aux.acc_seg: 72.5327, loss: 0.8095
2022-11-04 16:18:03,434 - mmseg - INFO - Iter [65500/80000]	lr: 2.580e-05, eta: 1:19:47, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4686, decode.acc_seg: 81.6207, aux.loss_ce: 0.3029, aux.acc_seg: 72.9646, loss: 0.7714
2022-11-04 16:18:19,343 - mmseg - INFO - Iter [65550/80000]	lr: 2.572e-05, eta: 1:19:31, time: 0.318, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5006, decode.acc_seg: 80.5638, aux.loss_ce: 0.3175, aux.acc_seg: 71.5710, loss: 0.8181
2022-11-04 16:18:35,361 - mmseg - INFO - Iter [65600/80000]	lr: 2.564e-05, eta: 1:19:14, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4861, decode.acc_seg: 81.5907, aux.loss_ce: 0.3069, aux.acc_seg: 73.5745, loss: 0.7931
2022-11-04 16:18:54,392 - mmseg - INFO - Iter [65650/80000]	lr: 2.556e-05, eta: 1:18:58, time: 0.381, data_time: 0.063, memory: 9985, decode.loss_ce: 0.4732, decode.acc_seg: 81.4214, aux.loss_ce: 0.3002, aux.acc_seg: 73.0509, loss: 0.7734
2022-11-04 16:19:10,352 - mmseg - INFO - Iter [65700/80000]	lr: 2.548e-05, eta: 1:18:42, time: 0.319, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4925, decode.acc_seg: 81.3007, aux.loss_ce: 0.3148, aux.acc_seg: 72.6737, loss: 0.8073
2022-11-04 16:19:26,645 - mmseg - INFO - Iter [65750/80000]	lr: 2.540e-05, eta: 1:18:25, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4845, decode.acc_seg: 81.4726, aux.loss_ce: 0.3046, aux.acc_seg: 73.0374, loss: 0.7891
2022-11-04 16:19:43,035 - mmseg - INFO - Iter [65800/80000]	lr: 2.532e-05, eta: 1:18:09, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4956, decode.acc_seg: 80.6502, aux.loss_ce: 0.3008, aux.acc_seg: 73.3075, loss: 0.7965
2022-11-04 16:19:59,219 - mmseg - INFO - Iter [65850/80000]	lr: 2.524e-05, eta: 1:17:52, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4902, decode.acc_seg: 80.7681, aux.loss_ce: 0.3063, aux.acc_seg: 72.3010, loss: 0.7965
2022-11-04 16:20:15,334 - mmseg - INFO - Iter [65900/80000]	lr: 2.516e-05, eta: 1:17:35, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4918, decode.acc_seg: 81.2191, aux.loss_ce: 0.3201, aux.acc_seg: 71.8577, loss: 0.8120
2022-11-04 16:20:31,559 - mmseg - INFO - Iter [65950/80000]	lr: 2.508e-05, eta: 1:17:19, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4887, decode.acc_seg: 80.7126, aux.loss_ce: 0.3118, aux.acc_seg: 71.8512, loss: 0.8006
2022-11-04 16:20:47,554 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 16:20:47,554 - mmseg - INFO - Iter [66000/80000]	lr: 2.500e-05, eta: 1:17:02, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4820, decode.acc_seg: 81.0455, aux.loss_ce: 0.3001, aux.acc_seg: 72.9012, loss: 0.7821
2022-11-04 16:21:03,851 - mmseg - INFO - Iter [66050/80000]	lr: 2.492e-05, eta: 1:16:46, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4924, decode.acc_seg: 80.9871, aux.loss_ce: 0.3198, aux.acc_seg: 71.6049, loss: 0.8122
2022-11-04 16:21:20,249 - mmseg - INFO - Iter [66100/80000]	lr: 2.484e-05, eta: 1:16:29, time: 0.328, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4898, decode.acc_seg: 80.9113, aux.loss_ce: 0.3103, aux.acc_seg: 72.0236, loss: 0.8001
2022-11-04 16:21:36,511 - mmseg - INFO - Iter [66150/80000]	lr: 2.476e-05, eta: 1:16:13, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5032, decode.acc_seg: 80.6886, aux.loss_ce: 0.3158, aux.acc_seg: 72.3165, loss: 0.8190
2022-11-04 16:21:52,727 - mmseg - INFO - Iter [66200/80000]	lr: 2.468e-05, eta: 1:15:56, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4824, decode.acc_seg: 81.5743, aux.loss_ce: 0.3063, aux.acc_seg: 72.9585, loss: 0.7887
2022-11-04 16:22:08,757 - mmseg - INFO - Iter [66250/80000]	lr: 2.460e-05, eta: 1:15:39, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.5064, decode.acc_seg: 80.4542, aux.loss_ce: 0.3192, aux.acc_seg: 71.5829, loss: 0.8256
2022-11-04 16:22:28,070 - mmseg - INFO - Iter [66300/80000]	lr: 2.452e-05, eta: 1:15:23, time: 0.386, data_time: 0.067, memory: 9985, decode.loss_ce: 0.4975, decode.acc_seg: 80.8220, aux.loss_ce: 0.3115, aux.acc_seg: 72.5137, loss: 0.8090
2022-11-04 16:22:44,270 - mmseg - INFO - Iter [66350/80000]	lr: 2.444e-05, eta: 1:15:07, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4919, decode.acc_seg: 80.9714, aux.loss_ce: 0.3095, aux.acc_seg: 72.6880, loss: 0.8014
2022-11-04 16:23:00,334 - mmseg - INFO - Iter [66400/80000]	lr: 2.436e-05, eta: 1:14:50, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4706, decode.acc_seg: 81.7435, aux.loss_ce: 0.3022, aux.acc_seg: 73.2690, loss: 0.7728
2022-11-04 16:23:16,474 - mmseg - INFO - Iter [66450/80000]	lr: 2.428e-05, eta: 1:14:34, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4820, decode.acc_seg: 81.3027, aux.loss_ce: 0.3127, aux.acc_seg: 72.1266, loss: 0.7948
2022-11-04 16:23:32,837 - mmseg - INFO - Iter [66500/80000]	lr: 2.420e-05, eta: 1:14:17, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4816, decode.acc_seg: 81.2688, aux.loss_ce: 0.3073, aux.acc_seg: 72.6445, loss: 0.7889
2022-11-04 16:23:48,802 - mmseg - INFO - Iter [66550/80000]	lr: 2.411e-05, eta: 1:14:00, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4903, decode.acc_seg: 81.2267, aux.loss_ce: 0.3018, aux.acc_seg: 73.0037, loss: 0.7920
2022-11-04 16:24:04,954 - mmseg - INFO - Iter [66600/80000]	lr: 2.403e-05, eta: 1:13:44, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4816, decode.acc_seg: 81.3333, aux.loss_ce: 0.3070, aux.acc_seg: 72.8637, loss: 0.7885
2022-11-04 16:24:20,998 - mmseg - INFO - Iter [66650/80000]	lr: 2.395e-05, eta: 1:13:27, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4778, decode.acc_seg: 81.5837, aux.loss_ce: 0.3065, aux.acc_seg: 72.5340, loss: 0.7843
2022-11-04 16:24:37,164 - mmseg - INFO - Iter [66700/80000]	lr: 2.387e-05, eta: 1:13:11, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4954, decode.acc_seg: 80.8218, aux.loss_ce: 0.3164, aux.acc_seg: 71.9245, loss: 0.8118
2022-11-04 16:24:53,384 - mmseg - INFO - Iter [66750/80000]	lr: 2.379e-05, eta: 1:12:54, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4964, decode.acc_seg: 81.0255, aux.loss_ce: 0.3228, aux.acc_seg: 71.3341, loss: 0.8192
2022-11-04 16:25:09,424 - mmseg - INFO - Iter [66800/80000]	lr: 2.371e-05, eta: 1:12:38, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4962, decode.acc_seg: 80.4665, aux.loss_ce: 0.3009, aux.acc_seg: 73.2684, loss: 0.7970
2022-11-04 16:25:25,422 - mmseg - INFO - Iter [66850/80000]	lr: 2.363e-05, eta: 1:12:21, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5024, decode.acc_seg: 80.8973, aux.loss_ce: 0.3244, aux.acc_seg: 71.8275, loss: 0.8268
2022-11-04 16:25:44,232 - mmseg - INFO - Iter [66900/80000]	lr: 2.355e-05, eta: 1:12:05, time: 0.376, data_time: 0.066, memory: 9985, decode.loss_ce: 0.4893, decode.acc_seg: 81.1415, aux.loss_ce: 0.3126, aux.acc_seg: 72.5423, loss: 0.8019
2022-11-04 16:26:00,385 - mmseg - INFO - Iter [66950/80000]	lr: 2.347e-05, eta: 1:11:48, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4774, decode.acc_seg: 81.3883, aux.loss_ce: 0.3070, aux.acc_seg: 72.2921, loss: 0.7844
2022-11-04 16:26:16,795 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 16:26:16,796 - mmseg - INFO - Iter [67000/80000]	lr: 2.339e-05, eta: 1:11:32, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4841, decode.acc_seg: 80.9071, aux.loss_ce: 0.3038, aux.acc_seg: 72.3946, loss: 0.7879
2022-11-04 16:26:32,783 - mmseg - INFO - Iter [67050/80000]	lr: 2.331e-05, eta: 1:11:15, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4813, decode.acc_seg: 81.2456, aux.loss_ce: 0.3003, aux.acc_seg: 72.8932, loss: 0.7816
2022-11-04 16:26:49,104 - mmseg - INFO - Iter [67100/80000]	lr: 2.323e-05, eta: 1:10:59, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4901, decode.acc_seg: 80.9243, aux.loss_ce: 0.3145, aux.acc_seg: 72.4570, loss: 0.8046
2022-11-04 16:27:05,162 - mmseg - INFO - Iter [67150/80000]	lr: 2.314e-05, eta: 1:10:42, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4768, decode.acc_seg: 81.4626, aux.loss_ce: 0.3011, aux.acc_seg: 72.7992, loss: 0.7779
2022-11-04 16:27:21,422 - mmseg - INFO - Iter [67200/80000]	lr: 2.306e-05, eta: 1:10:25, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4854, decode.acc_seg: 80.9327, aux.loss_ce: 0.3098, aux.acc_seg: 72.3530, loss: 0.7952
2022-11-04 16:27:37,424 - mmseg - INFO - Iter [67250/80000]	lr: 2.298e-05, eta: 1:10:09, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4948, decode.acc_seg: 80.8591, aux.loss_ce: 0.3155, aux.acc_seg: 72.3926, loss: 0.8102
2022-11-04 16:27:53,567 - mmseg - INFO - Iter [67300/80000]	lr: 2.290e-05, eta: 1:09:52, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4821, decode.acc_seg: 81.1211, aux.loss_ce: 0.3051, aux.acc_seg: 72.7533, loss: 0.7872
2022-11-04 16:28:09,638 - mmseg - INFO - Iter [67350/80000]	lr: 2.282e-05, eta: 1:09:36, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4909, decode.acc_seg: 81.1416, aux.loss_ce: 0.3104, aux.acc_seg: 72.3774, loss: 0.8013
2022-11-04 16:28:25,935 - mmseg - INFO - Iter [67400/80000]	lr: 2.274e-05, eta: 1:09:19, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4815, decode.acc_seg: 81.4446, aux.loss_ce: 0.3069, aux.acc_seg: 72.9819, loss: 0.7884
2022-11-04 16:28:42,074 - mmseg - INFO - Iter [67450/80000]	lr: 2.266e-05, eta: 1:09:03, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4930, decode.acc_seg: 80.9946, aux.loss_ce: 0.3099, aux.acc_seg: 72.5508, loss: 0.8030
2022-11-04 16:28:58,380 - mmseg - INFO - Iter [67500/80000]	lr: 2.258e-05, eta: 1:08:46, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4925, decode.acc_seg: 80.9913, aux.loss_ce: 0.3125, aux.acc_seg: 72.3177, loss: 0.8050
2022-11-04 16:29:17,444 - mmseg - INFO - Iter [67550/80000]	lr: 2.249e-05, eta: 1:08:30, time: 0.381, data_time: 0.068, memory: 9985, decode.loss_ce: 0.4750, decode.acc_seg: 81.3504, aux.loss_ce: 0.3047, aux.acc_seg: 72.8151, loss: 0.7797
2022-11-04 16:29:33,612 - mmseg - INFO - Iter [67600/80000]	lr: 2.241e-05, eta: 1:08:13, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4818, decode.acc_seg: 81.7291, aux.loss_ce: 0.3046, aux.acc_seg: 73.5644, loss: 0.7863
2022-11-04 16:29:49,685 - mmseg - INFO - Iter [67650/80000]	lr: 2.233e-05, eta: 1:07:57, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4678, decode.acc_seg: 81.6557, aux.loss_ce: 0.3033, aux.acc_seg: 72.7505, loss: 0.7711
2022-11-04 16:30:05,698 - mmseg - INFO - Iter [67700/80000]	lr: 2.225e-05, eta: 1:07:40, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4741, decode.acc_seg: 81.4309, aux.loss_ce: 0.2947, aux.acc_seg: 73.3676, loss: 0.7688
2022-11-04 16:30:21,810 - mmseg - INFO - Iter [67750/80000]	lr: 2.217e-05, eta: 1:07:24, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4891, decode.acc_seg: 81.2930, aux.loss_ce: 0.3139, aux.acc_seg: 72.1359, loss: 0.8030
2022-11-04 16:30:38,027 - mmseg - INFO - Iter [67800/80000]	lr: 2.209e-05, eta: 1:07:07, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4946, decode.acc_seg: 80.7996, aux.loss_ce: 0.3023, aux.acc_seg: 72.4961, loss: 0.7969
2022-11-04 16:30:54,414 - mmseg - INFO - Iter [67850/80000]	lr: 2.201e-05, eta: 1:06:51, time: 0.328, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4969, decode.acc_seg: 80.9221, aux.loss_ce: 0.3101, aux.acc_seg: 72.4268, loss: 0.8070
2022-11-04 16:31:10,569 - mmseg - INFO - Iter [67900/80000]	lr: 2.192e-05, eta: 1:06:34, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4839, decode.acc_seg: 81.3802, aux.loss_ce: 0.3062, aux.acc_seg: 72.9306, loss: 0.7901
2022-11-04 16:31:26,716 - mmseg - INFO - Iter [67950/80000]	lr: 2.184e-05, eta: 1:06:17, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4930, decode.acc_seg: 81.1667, aux.loss_ce: 0.3055, aux.acc_seg: 72.8735, loss: 0.7985
2022-11-04 16:31:42,937 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 16:31:42,937 - mmseg - INFO - Iter [68000/80000]	lr: 2.176e-05, eta: 1:06:01, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4738, decode.acc_seg: 81.3216, aux.loss_ce: 0.3091, aux.acc_seg: 72.1694, loss: 0.7829
2022-11-04 16:31:59,362 - mmseg - INFO - Iter [68050/80000]	lr: 2.168e-05, eta: 1:05:44, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5033, decode.acc_seg: 80.5300, aux.loss_ce: 0.3150, aux.acc_seg: 72.3141, loss: 0.8183
2022-11-04 16:32:15,457 - mmseg - INFO - Iter [68100/80000]	lr: 2.160e-05, eta: 1:05:28, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4809, decode.acc_seg: 81.1604, aux.loss_ce: 0.3040, aux.acc_seg: 72.8921, loss: 0.7849
2022-11-04 16:32:34,666 - mmseg - INFO - Iter [68150/80000]	lr: 2.152e-05, eta: 1:05:12, time: 0.384, data_time: 0.064, memory: 9985, decode.loss_ce: 0.4849, decode.acc_seg: 81.3839, aux.loss_ce: 0.3082, aux.acc_seg: 72.2831, loss: 0.7930
2022-11-04 16:32:50,830 - mmseg - INFO - Iter [68200/80000]	lr: 2.144e-05, eta: 1:04:55, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4946, decode.acc_seg: 80.8082, aux.loss_ce: 0.3118, aux.acc_seg: 72.4043, loss: 0.8064
2022-11-04 16:33:06,979 - mmseg - INFO - Iter [68250/80000]	lr: 2.135e-05, eta: 1:04:39, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4945, decode.acc_seg: 80.7591, aux.loss_ce: 0.3139, aux.acc_seg: 71.8651, loss: 0.8084
2022-11-04 16:33:23,198 - mmseg - INFO - Iter [68300/80000]	lr: 2.127e-05, eta: 1:04:22, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4809, decode.acc_seg: 81.3952, aux.loss_ce: 0.3089, aux.acc_seg: 72.5850, loss: 0.7897
2022-11-04 16:33:39,279 - mmseg - INFO - Iter [68350/80000]	lr: 2.119e-05, eta: 1:04:05, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4824, decode.acc_seg: 81.2253, aux.loss_ce: 0.3091, aux.acc_seg: 72.0120, loss: 0.7915
2022-11-04 16:33:55,302 - mmseg - INFO - Iter [68400/80000]	lr: 2.111e-05, eta: 1:03:49, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4843, decode.acc_seg: 81.5241, aux.loss_ce: 0.3131, aux.acc_seg: 72.4295, loss: 0.7974
2022-11-04 16:34:11,373 - mmseg - INFO - Iter [68450/80000]	lr: 2.103e-05, eta: 1:03:32, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4907, decode.acc_seg: 81.1794, aux.loss_ce: 0.3075, aux.acc_seg: 72.8477, loss: 0.7982
2022-11-04 16:34:27,365 - mmseg - INFO - Iter [68500/80000]	lr: 2.094e-05, eta: 1:03:16, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4939, decode.acc_seg: 80.9200, aux.loss_ce: 0.3154, aux.acc_seg: 72.4506, loss: 0.8094
2022-11-04 16:34:43,661 - mmseg - INFO - Iter [68550/80000]	lr: 2.086e-05, eta: 1:02:59, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4986, decode.acc_seg: 80.6897, aux.loss_ce: 0.3172, aux.acc_seg: 71.8761, loss: 0.8158
2022-11-04 16:34:59,862 - mmseg - INFO - Iter [68600/80000]	lr: 2.078e-05, eta: 1:02:43, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4740, decode.acc_seg: 81.6740, aux.loss_ce: 0.2994, aux.acc_seg: 73.1288, loss: 0.7733
2022-11-04 16:35:15,917 - mmseg - INFO - Iter [68650/80000]	lr: 2.070e-05, eta: 1:02:26, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4936, decode.acc_seg: 81.0161, aux.loss_ce: 0.3010, aux.acc_seg: 73.2244, loss: 0.7945
2022-11-04 16:35:32,351 - mmseg - INFO - Iter [68700/80000]	lr: 2.062e-05, eta: 1:02:10, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4856, decode.acc_seg: 81.0131, aux.loss_ce: 0.3164, aux.acc_seg: 71.8924, loss: 0.8020
2022-11-04 16:35:48,363 - mmseg - INFO - Iter [68750/80000]	lr: 2.053e-05, eta: 1:01:53, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4827, decode.acc_seg: 81.2611, aux.loss_ce: 0.3053, aux.acc_seg: 72.4671, loss: 0.7880
2022-11-04 16:36:07,811 - mmseg - INFO - Iter [68800/80000]	lr: 2.045e-05, eta: 1:01:37, time: 0.389, data_time: 0.058, memory: 9985, decode.loss_ce: 0.4803, decode.acc_seg: 81.4578, aux.loss_ce: 0.3129, aux.acc_seg: 72.3832, loss: 0.7932
2022-11-04 16:36:23,821 - mmseg - INFO - Iter [68850/80000]	lr: 2.037e-05, eta: 1:01:20, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4740, decode.acc_seg: 81.6901, aux.loss_ce: 0.3015, aux.acc_seg: 72.8386, loss: 0.7755
2022-11-04 16:36:40,096 - mmseg - INFO - Iter [68900/80000]	lr: 2.029e-05, eta: 1:01:04, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4899, decode.acc_seg: 81.3211, aux.loss_ce: 0.3177, aux.acc_seg: 72.3898, loss: 0.8076
2022-11-04 16:36:56,266 - mmseg - INFO - Iter [68950/80000]	lr: 2.021e-05, eta: 1:00:47, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4907, decode.acc_seg: 81.0375, aux.loss_ce: 0.3081, aux.acc_seg: 72.1953, loss: 0.7988
2022-11-04 16:37:12,417 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 16:37:12,418 - mmseg - INFO - Iter [69000/80000]	lr: 2.012e-05, eta: 1:00:31, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4799, decode.acc_seg: 81.4469, aux.loss_ce: 0.3100, aux.acc_seg: 72.4053, loss: 0.7900
2022-11-04 16:37:28,695 - mmseg - INFO - Iter [69050/80000]	lr: 2.004e-05, eta: 1:00:14, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4897, decode.acc_seg: 81.1475, aux.loss_ce: 0.3155, aux.acc_seg: 72.1053, loss: 0.8052
2022-11-04 16:37:44,887 - mmseg - INFO - Iter [69100/80000]	lr: 1.996e-05, eta: 0:59:58, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4806, decode.acc_seg: 81.2765, aux.loss_ce: 0.3070, aux.acc_seg: 72.7144, loss: 0.7876
2022-11-04 16:38:00,905 - mmseg - INFO - Iter [69150/80000]	lr: 1.988e-05, eta: 0:59:41, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4877, decode.acc_seg: 81.2405, aux.loss_ce: 0.3186, aux.acc_seg: 71.9642, loss: 0.8063
2022-11-04 16:38:17,050 - mmseg - INFO - Iter [69200/80000]	lr: 1.979e-05, eta: 0:59:24, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4762, decode.acc_seg: 81.2922, aux.loss_ce: 0.2987, aux.acc_seg: 73.1493, loss: 0.7750
2022-11-04 16:38:33,236 - mmseg - INFO - Iter [69250/80000]	lr: 1.971e-05, eta: 0:59:08, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4990, decode.acc_seg: 81.0501, aux.loss_ce: 0.3104, aux.acc_seg: 73.2708, loss: 0.8094
2022-11-04 16:38:49,284 - mmseg - INFO - Iter [69300/80000]	lr: 1.963e-05, eta: 0:58:51, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4651, decode.acc_seg: 81.6532, aux.loss_ce: 0.3079, aux.acc_seg: 72.2246, loss: 0.7730
2022-11-04 16:39:05,413 - mmseg - INFO - Iter [69350/80000]	lr: 1.955e-05, eta: 0:58:35, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4780, decode.acc_seg: 81.3190, aux.loss_ce: 0.3069, aux.acc_seg: 72.5561, loss: 0.7849
2022-11-04 16:39:21,699 - mmseg - INFO - Iter [69400/80000]	lr: 1.946e-05, eta: 0:58:18, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4780, decode.acc_seg: 81.6816, aux.loss_ce: 0.3045, aux.acc_seg: 73.3686, loss: 0.7825
2022-11-04 16:39:40,694 - mmseg - INFO - Iter [69450/80000]	lr: 1.938e-05, eta: 0:58:02, time: 0.380, data_time: 0.073, memory: 9985, decode.loss_ce: 0.4661, decode.acc_seg: 81.9159, aux.loss_ce: 0.2974, aux.acc_seg: 73.5408, loss: 0.7636
2022-11-04 16:39:57,039 - mmseg - INFO - Iter [69500/80000]	lr: 1.930e-05, eta: 0:57:46, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4840, decode.acc_seg: 81.1067, aux.loss_ce: 0.3030, aux.acc_seg: 72.7392, loss: 0.7870
2022-11-04 16:40:13,275 - mmseg - INFO - Iter [69550/80000]	lr: 1.922e-05, eta: 0:57:29, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4819, decode.acc_seg: 81.5796, aux.loss_ce: 0.3050, aux.acc_seg: 73.0020, loss: 0.7868
2022-11-04 16:40:29,564 - mmseg - INFO - Iter [69600/80000]	lr: 1.913e-05, eta: 0:57:12, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4724, decode.acc_seg: 81.7993, aux.loss_ce: 0.3071, aux.acc_seg: 72.9229, loss: 0.7794
2022-11-04 16:40:45,718 - mmseg - INFO - Iter [69650/80000]	lr: 1.905e-05, eta: 0:56:56, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4915, decode.acc_seg: 81.0109, aux.loss_ce: 0.3116, aux.acc_seg: 72.8811, loss: 0.8030
2022-11-04 16:41:01,636 - mmseg - INFO - Iter [69700/80000]	lr: 1.897e-05, eta: 0:56:39, time: 0.318, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4890, decode.acc_seg: 81.0467, aux.loss_ce: 0.3159, aux.acc_seg: 71.9937, loss: 0.8050
2022-11-04 16:41:17,895 - mmseg - INFO - Iter [69750/80000]	lr: 1.888e-05, eta: 0:56:23, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4784, decode.acc_seg: 81.3424, aux.loss_ce: 0.3081, aux.acc_seg: 72.3676, loss: 0.7866
2022-11-04 16:41:34,141 - mmseg - INFO - Iter [69800/80000]	lr: 1.880e-05, eta: 0:56:06, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4669, decode.acc_seg: 81.6638, aux.loss_ce: 0.2976, aux.acc_seg: 73.0546, loss: 0.7645
2022-11-04 16:41:50,286 - mmseg - INFO - Iter [69850/80000]	lr: 1.872e-05, eta: 0:55:50, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4855, decode.acc_seg: 81.1894, aux.loss_ce: 0.3080, aux.acc_seg: 72.4663, loss: 0.7935
2022-11-04 16:42:06,526 - mmseg - INFO - Iter [69900/80000]	lr: 1.863e-05, eta: 0:55:33, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4838, decode.acc_seg: 80.6495, aux.loss_ce: 0.3064, aux.acc_seg: 72.1283, loss: 0.7903
2022-11-04 16:42:22,449 - mmseg - INFO - Iter [69950/80000]	lr: 1.855e-05, eta: 0:55:17, time: 0.318, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5028, decode.acc_seg: 80.7303, aux.loss_ce: 0.3199, aux.acc_seg: 72.4463, loss: 0.8227
2022-11-04 16:42:38,601 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 16:42:38,601 - mmseg - INFO - Iter [70000/80000]	lr: 1.847e-05, eta: 0:55:00, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4855, decode.acc_seg: 81.3660, aux.loss_ce: 0.3159, aux.acc_seg: 72.2997, loss: 0.8014
2022-11-04 16:42:57,678 - mmseg - INFO - Iter [70050/80000]	lr: 1.839e-05, eta: 0:54:44, time: 0.382, data_time: 0.062, memory: 9985, decode.loss_ce: 0.4974, decode.acc_seg: 81.1014, aux.loss_ce: 0.3162, aux.acc_seg: 71.5784, loss: 0.8136
2022-11-04 16:43:14,210 - mmseg - INFO - Iter [70100/80000]	lr: 1.830e-05, eta: 0:54:27, time: 0.331, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4857, decode.acc_seg: 81.2153, aux.loss_ce: 0.3043, aux.acc_seg: 73.0812, loss: 0.7900
2022-11-04 16:43:30,465 - mmseg - INFO - Iter [70150/80000]	lr: 1.822e-05, eta: 0:54:11, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4778, decode.acc_seg: 81.4401, aux.loss_ce: 0.3036, aux.acc_seg: 72.7622, loss: 0.7814
2022-11-04 16:43:46,648 - mmseg - INFO - Iter [70200/80000]	lr: 1.814e-05, eta: 0:53:54, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4783, decode.acc_seg: 81.5276, aux.loss_ce: 0.3032, aux.acc_seg: 73.0331, loss: 0.7815
2022-11-04 16:44:02,651 - mmseg - INFO - Iter [70250/80000]	lr: 1.805e-05, eta: 0:53:38, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4854, decode.acc_seg: 81.0553, aux.loss_ce: 0.3102, aux.acc_seg: 72.2112, loss: 0.7956
2022-11-04 16:44:18,729 - mmseg - INFO - Iter [70300/80000]	lr: 1.797e-05, eta: 0:53:21, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4967, decode.acc_seg: 81.1432, aux.loss_ce: 0.3141, aux.acc_seg: 72.5054, loss: 0.8107
2022-11-04 16:44:34,952 - mmseg - INFO - Iter [70350/80000]	lr: 1.789e-05, eta: 0:53:05, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4790, decode.acc_seg: 81.4519, aux.loss_ce: 0.3103, aux.acc_seg: 72.2870, loss: 0.7893
2022-11-04 16:44:51,073 - mmseg - INFO - Iter [70400/80000]	lr: 1.780e-05, eta: 0:52:48, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4882, decode.acc_seg: 81.5626, aux.loss_ce: 0.3150, aux.acc_seg: 72.5925, loss: 0.8031
2022-11-04 16:45:07,292 - mmseg - INFO - Iter [70450/80000]	lr: 1.772e-05, eta: 0:52:32, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4757, decode.acc_seg: 81.5014, aux.loss_ce: 0.3011, aux.acc_seg: 73.0177, loss: 0.7768
2022-11-04 16:45:23,453 - mmseg - INFO - Iter [70500/80000]	lr: 1.764e-05, eta: 0:52:15, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4723, decode.acc_seg: 81.8974, aux.loss_ce: 0.3055, aux.acc_seg: 72.9427, loss: 0.7778
2022-11-04 16:45:39,625 - mmseg - INFO - Iter [70550/80000]	lr: 1.755e-05, eta: 0:51:58, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4786, decode.acc_seg: 81.1722, aux.loss_ce: 0.3045, aux.acc_seg: 72.2193, loss: 0.7831
2022-11-04 16:45:55,799 - mmseg - INFO - Iter [70600/80000]	lr: 1.747e-05, eta: 0:51:42, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4740, decode.acc_seg: 81.7972, aux.loss_ce: 0.3000, aux.acc_seg: 73.2521, loss: 0.7741
2022-11-04 16:46:11,815 - mmseg - INFO - Iter [70650/80000]	lr: 1.738e-05, eta: 0:51:25, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4747, decode.acc_seg: 81.6935, aux.loss_ce: 0.3028, aux.acc_seg: 72.9720, loss: 0.7775
2022-11-04 16:46:30,892 - mmseg - INFO - Iter [70700/80000]	lr: 1.730e-05, eta: 0:51:09, time: 0.382, data_time: 0.069, memory: 9985, decode.loss_ce: 0.4716, decode.acc_seg: 81.5532, aux.loss_ce: 0.2999, aux.acc_seg: 73.1059, loss: 0.7715
2022-11-04 16:46:47,013 - mmseg - INFO - Iter [70750/80000]	lr: 1.722e-05, eta: 0:50:53, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4873, decode.acc_seg: 81.0341, aux.loss_ce: 0.3143, aux.acc_seg: 72.2061, loss: 0.8015
2022-11-04 16:47:03,386 - mmseg - INFO - Iter [70800/80000]	lr: 1.713e-05, eta: 0:50:36, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4827, decode.acc_seg: 81.1506, aux.loss_ce: 0.3036, aux.acc_seg: 72.7454, loss: 0.7863
2022-11-04 16:47:19,484 - mmseg - INFO - Iter [70850/80000]	lr: 1.705e-05, eta: 0:50:20, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4656, decode.acc_seg: 81.7099, aux.loss_ce: 0.3067, aux.acc_seg: 73.0271, loss: 0.7723
2022-11-04 16:47:35,692 - mmseg - INFO - Iter [70900/80000]	lr: 1.697e-05, eta: 0:50:03, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4824, decode.acc_seg: 81.3898, aux.loss_ce: 0.3039, aux.acc_seg: 73.1393, loss: 0.7863
2022-11-04 16:47:51,747 - mmseg - INFO - Iter [70950/80000]	lr: 1.688e-05, eta: 0:49:46, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4610, decode.acc_seg: 81.8887, aux.loss_ce: 0.2931, aux.acc_seg: 73.6395, loss: 0.7541
2022-11-04 16:48:07,831 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 16:48:07,832 - mmseg - INFO - Iter [71000/80000]	lr: 1.680e-05, eta: 0:49:30, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4840, decode.acc_seg: 81.0039, aux.loss_ce: 0.3105, aux.acc_seg: 71.9920, loss: 0.7945
2022-11-04 16:48:24,254 - mmseg - INFO - Iter [71050/80000]	lr: 1.671e-05, eta: 0:49:13, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4766, decode.acc_seg: 81.7470, aux.loss_ce: 0.3056, aux.acc_seg: 72.7159, loss: 0.7822
2022-11-04 16:48:40,738 - mmseg - INFO - Iter [71100/80000]	lr: 1.663e-05, eta: 0:48:57, time: 0.330, data_time: 0.013, memory: 9985, decode.loss_ce: 0.4851, decode.acc_seg: 81.3651, aux.loss_ce: 0.3174, aux.acc_seg: 71.9317, loss: 0.8026
2022-11-04 16:48:56,891 - mmseg - INFO - Iter [71150/80000]	lr: 1.655e-05, eta: 0:48:40, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4873, decode.acc_seg: 81.1933, aux.loss_ce: 0.3033, aux.acc_seg: 73.1460, loss: 0.7906
2022-11-04 16:49:12,997 - mmseg - INFO - Iter [71200/80000]	lr: 1.646e-05, eta: 0:48:24, time: 0.322, data_time: 0.008, memory: 9985, decode.loss_ce: 0.4804, decode.acc_seg: 81.6434, aux.loss_ce: 0.3091, aux.acc_seg: 72.8047, loss: 0.7895
2022-11-04 16:49:29,101 - mmseg - INFO - Iter [71250/80000]	lr: 1.638e-05, eta: 0:48:07, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4892, decode.acc_seg: 81.4200, aux.loss_ce: 0.3137, aux.acc_seg: 72.5654, loss: 0.8029
2022-11-04 16:49:44,883 - mmseg - INFO - Iter [71300/80000]	lr: 1.629e-05, eta: 0:47:51, time: 0.316, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4875, decode.acc_seg: 81.1810, aux.loss_ce: 0.3158, aux.acc_seg: 72.0684, loss: 0.8033
2022-11-04 16:50:03,938 - mmseg - INFO - Iter [71350/80000]	lr: 1.621e-05, eta: 0:47:34, time: 0.381, data_time: 0.062, memory: 9985, decode.loss_ce: 0.4994, decode.acc_seg: 80.8138, aux.loss_ce: 0.3209, aux.acc_seg: 71.7028, loss: 0.8203
2022-11-04 16:50:19,806 - mmseg - INFO - Iter [71400/80000]	lr: 1.612e-05, eta: 0:47:18, time: 0.317, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4821, decode.acc_seg: 81.5438, aux.loss_ce: 0.3148, aux.acc_seg: 72.5153, loss: 0.7968
2022-11-04 16:50:36,099 - mmseg - INFO - Iter [71450/80000]	lr: 1.604e-05, eta: 0:47:01, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4697, decode.acc_seg: 81.7047, aux.loss_ce: 0.2983, aux.acc_seg: 73.1255, loss: 0.7680
2022-11-04 16:50:52,093 - mmseg - INFO - Iter [71500/80000]	lr: 1.596e-05, eta: 0:46:45, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4625, decode.acc_seg: 81.8261, aux.loss_ce: 0.2959, aux.acc_seg: 73.5235, loss: 0.7583
2022-11-04 16:51:08,344 - mmseg - INFO - Iter [71550/80000]	lr: 1.587e-05, eta: 0:46:28, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4721, decode.acc_seg: 81.1977, aux.loss_ce: 0.3047, aux.acc_seg: 72.5161, loss: 0.7768
2022-11-04 16:51:24,457 - mmseg - INFO - Iter [71600/80000]	lr: 1.579e-05, eta: 0:46:12, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4862, decode.acc_seg: 80.8594, aux.loss_ce: 0.3104, aux.acc_seg: 72.2804, loss: 0.7965
2022-11-04 16:51:40,753 - mmseg - INFO - Iter [71650/80000]	lr: 1.570e-05, eta: 0:45:55, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4910, decode.acc_seg: 81.0308, aux.loss_ce: 0.3168, aux.acc_seg: 72.1990, loss: 0.8078
2022-11-04 16:51:56,923 - mmseg - INFO - Iter [71700/80000]	lr: 1.562e-05, eta: 0:45:39, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.5034, decode.acc_seg: 80.7229, aux.loss_ce: 0.3217, aux.acc_seg: 71.5110, loss: 0.8252
2022-11-04 16:52:13,222 - mmseg - INFO - Iter [71750/80000]	lr: 1.553e-05, eta: 0:45:22, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4773, decode.acc_seg: 81.4576, aux.loss_ce: 0.3090, aux.acc_seg: 72.6204, loss: 0.7863
2022-11-04 16:52:29,675 - mmseg - INFO - Iter [71800/80000]	lr: 1.545e-05, eta: 0:45:06, time: 0.329, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4750, decode.acc_seg: 81.4485, aux.loss_ce: 0.3039, aux.acc_seg: 72.8720, loss: 0.7789
2022-11-04 16:52:45,547 - mmseg - INFO - Iter [71850/80000]	lr: 1.536e-05, eta: 0:44:49, time: 0.317, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4766, decode.acc_seg: 81.3125, aux.loss_ce: 0.3084, aux.acc_seg: 72.2457, loss: 0.7849
2022-11-04 16:53:01,605 - mmseg - INFO - Iter [71900/80000]	lr: 1.528e-05, eta: 0:44:32, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4848, decode.acc_seg: 81.2990, aux.loss_ce: 0.3059, aux.acc_seg: 72.9406, loss: 0.7907
2022-11-04 16:53:20,541 - mmseg - INFO - Iter [71950/80000]	lr: 1.519e-05, eta: 0:44:16, time: 0.379, data_time: 0.062, memory: 9985, decode.loss_ce: 0.4725, decode.acc_seg: 81.7544, aux.loss_ce: 0.2986, aux.acc_seg: 73.4089, loss: 0.7711
2022-11-04 16:53:36,908 - mmseg - INFO - Saving checkpoint at 72000 iterations
2022-11-04 16:53:37,158 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 16:53:37,158 - mmseg - INFO - Iter [72000/80000]	lr: 1.511e-05, eta: 0:44:00, time: 0.332, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4721, decode.acc_seg: 81.5244, aux.loss_ce: 0.3006, aux.acc_seg: 73.1128, loss: 0.7727
2022-11-04 16:53:45,927 - mmseg - INFO - per class results:
2022-11-04 16:53:45,934 - mmseg - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 65.39 | 84.46 |
|       building      | 75.11 | 88.59 |
|         sky         | 90.52 | 95.16 |
|        floor        |  70.0 | 85.07 |
|         tree        | 65.42 | 83.26 |
|       ceiling       | 75.55 | 85.59 |
|         road        | 76.16 |  86.6 |
|         bed         | 73.46 |  89.7 |
|      windowpane     | 49.13 |  66.9 |
|        grass        | 60.24 | 77.48 |
|       cabinet       | 45.74 | 60.13 |
|       sidewalk      | 51.38 |  68.4 |
|        person       | 63.31 | 80.98 |
|        earth        | 30.27 | 40.54 |
|         door        | 27.55 | 37.41 |
|        table        | 39.05 | 53.76 |
|       mountain      | 53.41 | 72.23 |
|        plant        | 39.03 |  49.2 |
|       curtain       | 54.03 | 69.52 |
|        chair        | 35.23 | 49.35 |
|         car         | 70.93 | 84.61 |
|        water        | 42.07 | 57.61 |
|       painting      | 54.59 | 69.82 |
|         sofa        | 47.95 | 70.85 |
|        shelf        | 33.21 |  49.4 |
|        house        | 46.24 | 66.14 |
|         sea         | 42.08 | 68.68 |
|        mirror       | 39.62 | 46.94 |
|         rug         | 37.14 | 44.49 |
|        field        |  21.8 |  38.3 |
|       armchair      | 21.83 | 30.53 |
|         seat        | 50.28 | 68.27 |
|        fence        | 17.57 |  20.9 |
|         desk        | 33.05 | 50.78 |
|         rock        | 35.21 | 55.05 |
|       wardrobe      | 39.01 | 57.64 |
|         lamp        | 34.74 | 47.51 |
|       bathtub       | 53.35 |  68.4 |
|       railing       | 26.36 | 39.44 |
|       cushion       |  27.6 | 34.12 |
|         base        | 19.77 |  27.1 |
|         box         |  9.42 | 12.21 |
|        column       | 28.35 | 35.04 |
|      signboard      | 20.08 | 27.05 |
|   chest of drawers  | 33.48 | 44.56 |
|       counter       | 32.07 | 40.34 |
|         sand        | 21.37 |  37.7 |
|         sink        | 43.83 | 55.59 |
|      skyscraper     | 49.87 | 60.85 |
|      fireplace      | 49.01 | 71.02 |
|     refrigerator    | 50.73 |  65.1 |
|      grandstand     | 45.01 | 63.24 |
|         path        | 20.78 | 28.48 |
|        stairs       | 20.68 |  26.7 |
|        runway       | 72.36 | 90.93 |
|         case        | 34.17 | 49.14 |
|      pool table     | 79.71 | 89.39 |
|        pillow       | 35.57 | 46.56 |
|     screen door     | 51.11 | 64.75 |
|       stairway      | 22.83 | 30.05 |
|        river        |  9.36 | 19.47 |
|        bridge       | 23.77 | 30.11 |
|       bookcase      | 27.99 | 41.74 |
|        blind        | 14.06 | 17.06 |
|     coffee table    |  38.6 | 64.46 |
|        toilet       | 62.56 | 76.98 |
|        flower       | 22.73 | 40.44 |
|         book        | 38.76 | 55.33 |
|         hill        |  3.93 |  6.73 |
|        bench        | 32.34 | 42.91 |
|      countertop     |  37.7 | 52.41 |
|        stove        | 45.07 | 55.56 |
|         palm        | 35.49 | 51.39 |
|    kitchen island   | 19.79 | 48.96 |
|       computer      |  41.9 | 55.92 |
|     swivel chair    |  25.8 |  37.8 |
|         boat        | 31.74 | 44.43 |
|         bar         | 14.83 | 17.42 |
|    arcade machine   | 24.19 | 28.02 |
|        hovel        | 50.16 | 63.15 |
|         bus         | 63.68 | 81.02 |
|        towel        | 31.76 | 41.95 |
|        light        | 12.48 | 13.36 |
|        truck        | 13.33 | 15.64 |
|        tower        | 42.17 | 52.91 |
|      chandelier     | 47.14 | 59.35 |
|        awning       | 14.15 | 15.95 |
|     streetlight     |  4.44 |  4.89 |
|        booth        | 29.77 | 33.99 |
| television receiver | 48.58 | 62.52 |
|       airplane      |  42.1 | 55.74 |
|      dirt track     |  7.9  |  18.2 |
|       apparel       | 17.65 | 23.56 |
|         pole        |  3.6  |  4.06 |
|         land        |  0.32 |  0.49 |
|      bannister      |  6.9  |  9.85 |
|      escalator      | 20.72 | 21.91 |
|       ottoman       | 12.67 | 14.28 |
|        bottle       |  8.24 |  9.14 |
|        buffet       | 37.06 | 45.31 |
|        poster       |  8.81 | 11.11 |
|        stage        | 10.16 | 14.99 |
|         van         | 24.58 | 30.87 |
|         ship        |  63.0 | 90.21 |
|       fountain      | 16.23 | 16.73 |
|    conveyer belt    |  59.3 | 73.32 |
|        canopy       | 22.48 | 35.72 |
|        washer       | 57.88 | 66.54 |
|      plaything      |  3.05 |  4.0  |
|    swimming pool    | 27.45 | 40.53 |
|        stool        |  5.98 |  6.83 |
|        barrel       | 28.99 | 59.88 |
|        basket       | 11.42 | 13.33 |
|      waterfall      | 43.89 | 54.95 |
|         tent        | 80.96 | 96.39 |
|         bag         |  1.63 |  1.77 |
|       minibike      | 46.25 | 59.16 |
|        cradle       | 56.81 | 78.08 |
|         oven        | 26.62 |  32.8 |
|         ball        | 24.88 | 31.53 |
|         food        | 42.39 |  55.0 |
|         step        |  5.72 |  7.53 |
|         tank        | 34.45 | 43.02 |
|      trade name     | 17.15 | 18.74 |
|      microwave      | 22.51 | 24.83 |
|         pot         | 28.13 | 33.85 |
|        animal       | 37.95 | 44.47 |
|       bicycle       | 37.87 | 51.68 |
|         lake        | 10.36 | 11.33 |
|      dishwasher     | 32.23 | 44.44 |
|        screen       | 52.86 | 66.74 |
|       blanket       |  0.35 |  0.38 |
|      sculpture      | 14.49 | 18.48 |
|         hood        | 27.84 | 33.05 |
|        sconce       |  9.1  |  9.74 |
|         vase        | 14.22 | 20.03 |
|    traffic light    | 10.69 | 12.79 |
|         tray        |  2.45 |  5.01 |
|        ashcan       | 14.68 | 18.17 |
|         fan         |  24.4 | 29.25 |
|         pier        | 48.33 | 66.82 |
|      crt screen     |  0.0  |  0.0  |
|        plate        | 26.87 | 33.44 |
|       monitor       |  2.59 |  2.68 |
|    bulletin board   |  25.1 | 29.58 |
|        shower       |  0.0  |  0.0  |
|       radiator      | 29.02 | 31.74 |
|        glass        |  1.67 |  1.73 |
|        clock        |  6.4  |  7.29 |
|         flag        | 13.94 | 14.87 |
+---------------------+-------+-------+
2022-11-04 16:53:45,934 - mmseg - INFO - Summary:
2022-11-04 16:53:45,935 - mmseg - INFO - 
+-------+------+------+
|  aAcc | mIoU | mAcc |
+-------+------+------+
| 74.76 | 32.9 | 43.0 |
+-------+------+------+
2022-11-04 16:53:45,936 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 16:53:45,936 - mmseg - INFO - Iter(val) [250]	aAcc: 0.7476, mIoU: 0.3290, mAcc: 0.4300, IoU.wall: 0.6539, IoU.building: 0.7511, IoU.sky: 0.9052, IoU.floor: 0.7000, IoU.tree: 0.6542, IoU.ceiling: 0.7555, IoU.road: 0.7616, IoU.bed : 0.7346, IoU.windowpane: 0.4913, IoU.grass: 0.6024, IoU.cabinet: 0.4574, IoU.sidewalk: 0.5138, IoU.person: 0.6331, IoU.earth: 0.3027, IoU.door: 0.2755, IoU.table: 0.3905, IoU.mountain: 0.5341, IoU.plant: 0.3903, IoU.curtain: 0.5403, IoU.chair: 0.3523, IoU.car: 0.7093, IoU.water: 0.4207, IoU.painting: 0.5459, IoU.sofa: 0.4795, IoU.shelf: 0.3321, IoU.house: 0.4624, IoU.sea: 0.4208, IoU.mirror: 0.3962, IoU.rug: 0.3714, IoU.field: 0.2180, IoU.armchair: 0.2183, IoU.seat: 0.5028, IoU.fence: 0.1757, IoU.desk: 0.3305, IoU.rock: 0.3521, IoU.wardrobe: 0.3901, IoU.lamp: 0.3474, IoU.bathtub: 0.5335, IoU.railing: 0.2636, IoU.cushion: 0.2760, IoU.base: 0.1977, IoU.box: 0.0942, IoU.column: 0.2835, IoU.signboard: 0.2008, IoU.chest of drawers: 0.3348, IoU.counter: 0.3207, IoU.sand: 0.2137, IoU.sink: 0.4383, IoU.skyscraper: 0.4987, IoU.fireplace: 0.4901, IoU.refrigerator: 0.5073, IoU.grandstand: 0.4501, IoU.path: 0.2078, IoU.stairs: 0.2068, IoU.runway: 0.7236, IoU.case: 0.3417, IoU.pool table: 0.7971, IoU.pillow: 0.3557, IoU.screen door: 0.5111, IoU.stairway: 0.2283, IoU.river: 0.0936, IoU.bridge: 0.2377, IoU.bookcase: 0.2799, IoU.blind: 0.1406, IoU.coffee table: 0.3860, IoU.toilet: 0.6256, IoU.flower: 0.2273, IoU.book: 0.3876, IoU.hill: 0.0393, IoU.bench: 0.3234, IoU.countertop: 0.3770, IoU.stove: 0.4507, IoU.palm: 0.3549, IoU.kitchen island: 0.1979, IoU.computer: 0.4190, IoU.swivel chair: 0.2580, IoU.boat: 0.3174, IoU.bar: 0.1483, IoU.arcade machine: 0.2419, IoU.hovel: 0.5016, IoU.bus: 0.6368, IoU.towel: 0.3176, IoU.light: 0.1248, IoU.truck: 0.1333, IoU.tower: 0.4217, IoU.chandelier: 0.4714, IoU.awning: 0.1415, IoU.streetlight: 0.0444, IoU.booth: 0.2977, IoU.television receiver: 0.4858, IoU.airplane: 0.4210, IoU.dirt track: 0.0790, IoU.apparel: 0.1765, IoU.pole: 0.0360, IoU.land: 0.0032, IoU.bannister: 0.0690, IoU.escalator: 0.2072, IoU.ottoman: 0.1267, IoU.bottle: 0.0824, IoU.buffet: 0.3706, IoU.poster: 0.0881, IoU.stage: 0.1016, IoU.van: 0.2458, IoU.ship: 0.6300, IoU.fountain: 0.1623, IoU.conveyer belt: 0.5930, IoU.canopy: 0.2248, IoU.washer: 0.5788, IoU.plaything: 0.0305, IoU.swimming pool: 0.2745, IoU.stool: 0.0598, IoU.barrel: 0.2899, IoU.basket: 0.1142, IoU.waterfall: 0.4389, IoU.tent: 0.8096, IoU.bag: 0.0163, IoU.minibike: 0.4625, IoU.cradle: 0.5681, IoU.oven: 0.2662, IoU.ball: 0.2488, IoU.food: 0.4239, IoU.step: 0.0572, IoU.tank: 0.3445, IoU.trade name: 0.1715, IoU.microwave: 0.2251, IoU.pot: 0.2813, IoU.animal: 0.3795, IoU.bicycle: 0.3787, IoU.lake: 0.1036, IoU.dishwasher: 0.3223, IoU.screen: 0.5286, IoU.blanket: 0.0035, IoU.sculpture: 0.1449, IoU.hood: 0.2784, IoU.sconce: 0.0910, IoU.vase: 0.1422, IoU.traffic light: 0.1069, IoU.tray: 0.0245, IoU.ashcan: 0.1468, IoU.fan: 0.2440, IoU.pier: 0.4833, IoU.crt screen: 0.0000, IoU.plate: 0.2687, IoU.monitor: 0.0259, IoU.bulletin board: 0.2510, IoU.shower: 0.0000, IoU.radiator: 0.2902, IoU.glass: 0.0167, IoU.clock: 0.0640, IoU.flag: 0.1394, Acc.wall: 0.8446, Acc.building: 0.8859, Acc.sky: 0.9516, Acc.floor: 0.8507, Acc.tree: 0.8326, Acc.ceiling: 0.8559, Acc.road: 0.8660, Acc.bed : 0.8970, Acc.windowpane: 0.6690, Acc.grass: 0.7748, Acc.cabinet: 0.6013, Acc.sidewalk: 0.6840, Acc.person: 0.8098, Acc.earth: 0.4054, Acc.door: 0.3741, Acc.table: 0.5376, Acc.mountain: 0.7223, Acc.plant: 0.4920, Acc.curtain: 0.6952, Acc.chair: 0.4935, Acc.car: 0.8461, Acc.water: 0.5761, Acc.painting: 0.6982, Acc.sofa: 0.7085, Acc.shelf: 0.4940, Acc.house: 0.6614, Acc.sea: 0.6868, Acc.mirror: 0.4694, Acc.rug: 0.4449, Acc.field: 0.3830, Acc.armchair: 0.3053, Acc.seat: 0.6827, Acc.fence: 0.2090, Acc.desk: 0.5078, Acc.rock: 0.5505, Acc.wardrobe: 0.5764, Acc.lamp: 0.4751, Acc.bathtub: 0.6840, Acc.railing: 0.3944, Acc.cushion: 0.3412, Acc.base: 0.2710, Acc.box: 0.1221, Acc.column: 0.3504, Acc.signboard: 0.2705, Acc.chest of drawers: 0.4456, Acc.counter: 0.4034, Acc.sand: 0.3770, Acc.sink: 0.5559, Acc.skyscraper: 0.6085, Acc.fireplace: 0.7102, Acc.refrigerator: 0.6510, Acc.grandstand: 0.6324, Acc.path: 0.2848, Acc.stairs: 0.2670, Acc.runway: 0.9093, Acc.case: 0.4914, Acc.pool table: 0.8939, Acc.pillow: 0.4656, Acc.screen door: 0.6475, Acc.stairway: 0.3005, Acc.river: 0.1947, Acc.bridge: 0.3011, Acc.bookcase: 0.4174, Acc.blind: 0.1706, Acc.coffee table: 0.6446, Acc.toilet: 0.7698, Acc.flower: 0.4044, Acc.book: 0.5533, Acc.hill: 0.0673, Acc.bench: 0.4291, Acc.countertop: 0.5241, Acc.stove: 0.5556, Acc.palm: 0.5139, Acc.kitchen island: 0.4896, Acc.computer: 0.5592, Acc.swivel chair: 0.3780, Acc.boat: 0.4443, Acc.bar: 0.1742, Acc.arcade machine: 0.2802, Acc.hovel: 0.6315, Acc.bus: 0.8102, Acc.towel: 0.4195, Acc.light: 0.1336, Acc.truck: 0.1564, Acc.tower: 0.5291, Acc.chandelier: 0.5935, Acc.awning: 0.1595, Acc.streetlight: 0.0489, Acc.booth: 0.3399, Acc.television receiver: 0.6252, Acc.airplane: 0.5574, Acc.dirt track: 0.1820, Acc.apparel: 0.2356, Acc.pole: 0.0406, Acc.land: 0.0049, Acc.bannister: 0.0985, Acc.escalator: 0.2191, Acc.ottoman: 0.1428, Acc.bottle: 0.0914, Acc.buffet: 0.4531, Acc.poster: 0.1111, Acc.stage: 0.1499, Acc.van: 0.3087, Acc.ship: 0.9021, Acc.fountain: 0.1673, Acc.conveyer belt: 0.7332, Acc.canopy: 0.3572, Acc.washer: 0.6654, Acc.plaything: 0.0400, Acc.swimming pool: 0.4053, Acc.stool: 0.0683, Acc.barrel: 0.5988, Acc.basket: 0.1333, Acc.waterfall: 0.5495, Acc.tent: 0.9639, Acc.bag: 0.0177, Acc.minibike: 0.5916, Acc.cradle: 0.7808, Acc.oven: 0.3280, Acc.ball: 0.3153, Acc.food: 0.5500, Acc.step: 0.0753, Acc.tank: 0.4302, Acc.trade name: 0.1874, Acc.microwave: 0.2483, Acc.pot: 0.3385, Acc.animal: 0.4447, Acc.bicycle: 0.5168, Acc.lake: 0.1133, Acc.dishwasher: 0.4444, Acc.screen: 0.6674, Acc.blanket: 0.0038, Acc.sculpture: 0.1848, Acc.hood: 0.3305, Acc.sconce: 0.0974, Acc.vase: 0.2003, Acc.traffic light: 0.1279, Acc.tray: 0.0501, Acc.ashcan: 0.1817, Acc.fan: 0.2925, Acc.pier: 0.6682, Acc.crt screen: 0.0000, Acc.plate: 0.3344, Acc.monitor: 0.0268, Acc.bulletin board: 0.2958, Acc.shower: 0.0000, Acc.radiator: 0.3174, Acc.glass: 0.0173, Acc.clock: 0.0729, Acc.flag: 0.1487
2022-11-04 16:54:02,206 - mmseg - INFO - Iter [72050/80000]	lr: 1.502e-05, eta: 0:43:44, time: 0.501, data_time: 0.185, memory: 9985, decode.loss_ce: 0.4993, decode.acc_seg: 80.6933, aux.loss_ce: 0.3134, aux.acc_seg: 72.0730, loss: 0.8126
2022-11-04 16:54:18,361 - mmseg - INFO - Iter [72100/80000]	lr: 1.494e-05, eta: 0:43:28, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4572, decode.acc_seg: 82.1792, aux.loss_ce: 0.2972, aux.acc_seg: 73.7464, loss: 0.7544
2022-11-04 16:54:34,699 - mmseg - INFO - Iter [72150/80000]	lr: 1.485e-05, eta: 0:43:11, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4585, decode.acc_seg: 82.0509, aux.loss_ce: 0.3085, aux.acc_seg: 72.4414, loss: 0.7670
2022-11-04 16:54:50,654 - mmseg - INFO - Iter [72200/80000]	lr: 1.477e-05, eta: 0:42:55, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4739, decode.acc_seg: 81.8512, aux.loss_ce: 0.3007, aux.acc_seg: 72.9435, loss: 0.7745
2022-11-04 16:55:06,838 - mmseg - INFO - Iter [72250/80000]	lr: 1.468e-05, eta: 0:42:38, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4727, decode.acc_seg: 81.5866, aux.loss_ce: 0.3046, aux.acc_seg: 72.5308, loss: 0.7773
2022-11-04 16:55:22,978 - mmseg - INFO - Iter [72300/80000]	lr: 1.460e-05, eta: 0:42:21, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4820, decode.acc_seg: 81.4482, aux.loss_ce: 0.3085, aux.acc_seg: 72.6959, loss: 0.7905
2022-11-04 16:55:39,124 - mmseg - INFO - Iter [72350/80000]	lr: 1.451e-05, eta: 0:42:05, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4760, decode.acc_seg: 81.5225, aux.loss_ce: 0.3013, aux.acc_seg: 73.2312, loss: 0.7773
2022-11-04 16:55:55,478 - mmseg - INFO - Iter [72400/80000]	lr: 1.443e-05, eta: 0:41:48, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4867, decode.acc_seg: 81.2735, aux.loss_ce: 0.3150, aux.acc_seg: 72.3061, loss: 0.8017
2022-11-04 16:56:11,640 - mmseg - INFO - Iter [72450/80000]	lr: 1.434e-05, eta: 0:41:32, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4810, decode.acc_seg: 81.3449, aux.loss_ce: 0.3077, aux.acc_seg: 72.8733, loss: 0.7887
2022-11-04 16:56:27,629 - mmseg - INFO - Iter [72500/80000]	lr: 1.426e-05, eta: 0:41:15, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4880, decode.acc_seg: 81.0021, aux.loss_ce: 0.3073, aux.acc_seg: 72.7653, loss: 0.7953
2022-11-04 16:56:43,732 - mmseg - INFO - Iter [72550/80000]	lr: 1.417e-05, eta: 0:40:59, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4737, decode.acc_seg: 81.2915, aux.loss_ce: 0.3066, aux.acc_seg: 72.4830, loss: 0.7803
2022-11-04 16:57:02,868 - mmseg - INFO - Iter [72600/80000]	lr: 1.409e-05, eta: 0:40:42, time: 0.383, data_time: 0.062, memory: 9985, decode.loss_ce: 0.4786, decode.acc_seg: 81.6123, aux.loss_ce: 0.3026, aux.acc_seg: 73.0483, loss: 0.7811
2022-11-04 16:57:19,137 - mmseg - INFO - Iter [72650/80000]	lr: 1.400e-05, eta: 0:40:26, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4807, decode.acc_seg: 81.1715, aux.loss_ce: 0.3072, aux.acc_seg: 72.6668, loss: 0.7879
2022-11-04 16:57:35,159 - mmseg - INFO - Iter [72700/80000]	lr: 1.391e-05, eta: 0:40:09, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4620, decode.acc_seg: 81.9455, aux.loss_ce: 0.3012, aux.acc_seg: 73.1205, loss: 0.7632
2022-11-04 16:57:51,151 - mmseg - INFO - Iter [72750/80000]	lr: 1.383e-05, eta: 0:39:53, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4835, decode.acc_seg: 81.3249, aux.loss_ce: 0.3045, aux.acc_seg: 73.2720, loss: 0.7880
2022-11-04 16:58:07,240 - mmseg - INFO - Iter [72800/80000]	lr: 1.374e-05, eta: 0:39:36, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4493, decode.acc_seg: 82.3006, aux.loss_ce: 0.2897, aux.acc_seg: 73.6968, loss: 0.7390
2022-11-04 16:58:23,450 - mmseg - INFO - Iter [72850/80000]	lr: 1.366e-05, eta: 0:39:20, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4755, decode.acc_seg: 81.1507, aux.loss_ce: 0.3019, aux.acc_seg: 72.8954, loss: 0.7773
2022-11-04 16:58:39,818 - mmseg - INFO - Iter [72900/80000]	lr: 1.357e-05, eta: 0:39:03, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4698, decode.acc_seg: 81.6652, aux.loss_ce: 0.3016, aux.acc_seg: 72.7431, loss: 0.7714
2022-11-04 16:58:56,074 - mmseg - INFO - Iter [72950/80000]	lr: 1.348e-05, eta: 0:38:47, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4859, decode.acc_seg: 81.2233, aux.loss_ce: 0.3102, aux.acc_seg: 72.3554, loss: 0.7961
2022-11-04 16:59:12,068 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 16:59:12,069 - mmseg - INFO - Iter [73000/80000]	lr: 1.340e-05, eta: 0:38:30, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4660, decode.acc_seg: 81.9168, aux.loss_ce: 0.3040, aux.acc_seg: 72.9518, loss: 0.7700
2022-11-04 16:59:28,383 - mmseg - INFO - Iter [73050/80000]	lr: 1.331e-05, eta: 0:38:14, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4825, decode.acc_seg: 81.5613, aux.loss_ce: 0.3061, aux.acc_seg: 72.8638, loss: 0.7885
2022-11-04 16:59:44,494 - mmseg - INFO - Iter [73100/80000]	lr: 1.323e-05, eta: 0:37:57, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4779, decode.acc_seg: 81.4766, aux.loss_ce: 0.3071, aux.acc_seg: 72.6814, loss: 0.7850
2022-11-04 17:00:00,578 - mmseg - INFO - Iter [73150/80000]	lr: 1.314e-05, eta: 0:37:41, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4917, decode.acc_seg: 80.7317, aux.loss_ce: 0.3039, aux.acc_seg: 72.5471, loss: 0.7956
2022-11-04 17:00:19,886 - mmseg - INFO - Iter [73200/80000]	lr: 1.305e-05, eta: 0:37:24, time: 0.386, data_time: 0.064, memory: 9985, decode.loss_ce: 0.4897, decode.acc_seg: 81.2471, aux.loss_ce: 0.3121, aux.acc_seg: 72.5671, loss: 0.8018
2022-11-04 17:00:36,106 - mmseg - INFO - Iter [73250/80000]	lr: 1.297e-05, eta: 0:37:08, time: 0.324, data_time: 0.008, memory: 9985, decode.loss_ce: 0.4584, decode.acc_seg: 82.2613, aux.loss_ce: 0.3017, aux.acc_seg: 73.0088, loss: 0.7600
2022-11-04 17:00:52,089 - mmseg - INFO - Iter [73300/80000]	lr: 1.288e-05, eta: 0:36:51, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4861, decode.acc_seg: 81.3492, aux.loss_ce: 0.3116, aux.acc_seg: 72.1037, loss: 0.7978
2022-11-04 17:01:08,433 - mmseg - INFO - Iter [73350/80000]	lr: 1.279e-05, eta: 0:36:35, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4767, decode.acc_seg: 81.8148, aux.loss_ce: 0.3098, aux.acc_seg: 73.0555, loss: 0.7865
2022-11-04 17:01:24,444 - mmseg - INFO - Iter [73400/80000]	lr: 1.271e-05, eta: 0:36:18, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4939, decode.acc_seg: 80.9116, aux.loss_ce: 0.3113, aux.acc_seg: 72.3337, loss: 0.8052
2022-11-04 17:01:40,709 - mmseg - INFO - Iter [73450/80000]	lr: 1.262e-05, eta: 0:36:02, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4723, decode.acc_seg: 81.6969, aux.loss_ce: 0.3100, aux.acc_seg: 72.5122, loss: 0.7822
2022-11-04 17:01:56,784 - mmseg - INFO - Iter [73500/80000]	lr: 1.253e-05, eta: 0:35:45, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4855, decode.acc_seg: 81.1207, aux.loss_ce: 0.3108, aux.acc_seg: 72.3257, loss: 0.7963
2022-11-04 17:02:13,059 - mmseg - INFO - Iter [73550/80000]	lr: 1.245e-05, eta: 0:35:29, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4634, decode.acc_seg: 81.8911, aux.loss_ce: 0.3015, aux.acc_seg: 72.6335, loss: 0.7649
2022-11-04 17:02:29,071 - mmseg - INFO - Iter [73600/80000]	lr: 1.236e-05, eta: 0:35:12, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4897, decode.acc_seg: 81.1310, aux.loss_ce: 0.3038, aux.acc_seg: 72.6753, loss: 0.7935
2022-11-04 17:02:45,206 - mmseg - INFO - Iter [73650/80000]	lr: 1.227e-05, eta: 0:34:55, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4834, decode.acc_seg: 81.0086, aux.loss_ce: 0.3067, aux.acc_seg: 72.2417, loss: 0.7901
2022-11-04 17:03:01,229 - mmseg - INFO - Iter [73700/80000]	lr: 1.219e-05, eta: 0:34:39, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4773, decode.acc_seg: 81.1985, aux.loss_ce: 0.2995, aux.acc_seg: 73.0771, loss: 0.7768
2022-11-04 17:03:17,463 - mmseg - INFO - Iter [73750/80000]	lr: 1.210e-05, eta: 0:34:22, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4784, decode.acc_seg: 81.4364, aux.loss_ce: 0.2998, aux.acc_seg: 73.0813, loss: 0.7782
2022-11-04 17:03:33,348 - mmseg - INFO - Iter [73800/80000]	lr: 1.201e-05, eta: 0:34:06, time: 0.318, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4809, decode.acc_seg: 81.6013, aux.loss_ce: 0.3064, aux.acc_seg: 73.3028, loss: 0.7873
2022-11-04 17:03:52,405 - mmseg - INFO - Iter [73850/80000]	lr: 1.192e-05, eta: 0:33:50, time: 0.381, data_time: 0.067, memory: 9985, decode.loss_ce: 0.4925, decode.acc_seg: 81.2486, aux.loss_ce: 0.3130, aux.acc_seg: 72.9402, loss: 0.8055
2022-11-04 17:04:08,582 - mmseg - INFO - Iter [73900/80000]	lr: 1.184e-05, eta: 0:33:33, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4849, decode.acc_seg: 81.0793, aux.loss_ce: 0.3127, aux.acc_seg: 72.4713, loss: 0.7977
2022-11-04 17:04:24,895 - mmseg - INFO - Iter [73950/80000]	lr: 1.175e-05, eta: 0:33:17, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4597, decode.acc_seg: 82.1517, aux.loss_ce: 0.2958, aux.acc_seg: 73.6865, loss: 0.7555
2022-11-04 17:04:41,038 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 17:04:41,039 - mmseg - INFO - Iter [74000/80000]	lr: 1.166e-05, eta: 0:33:00, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4771, decode.acc_seg: 81.4197, aux.loss_ce: 0.3044, aux.acc_seg: 72.9364, loss: 0.7814
2022-11-04 17:04:57,231 - mmseg - INFO - Iter [74050/80000]	lr: 1.158e-05, eta: 0:32:43, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4809, decode.acc_seg: 81.6602, aux.loss_ce: 0.3067, aux.acc_seg: 73.0595, loss: 0.7875
2022-11-04 17:05:13,732 - mmseg - INFO - Iter [74100/80000]	lr: 1.149e-05, eta: 0:32:27, time: 0.330, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4706, decode.acc_seg: 81.9048, aux.loss_ce: 0.3006, aux.acc_seg: 73.3529, loss: 0.7712
2022-11-04 17:05:29,980 - mmseg - INFO - Iter [74150/80000]	lr: 1.140e-05, eta: 0:32:10, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4711, decode.acc_seg: 81.4540, aux.loss_ce: 0.2993, aux.acc_seg: 72.8591, loss: 0.7704
2022-11-04 17:05:46,005 - mmseg - INFO - Iter [74200/80000]	lr: 1.131e-05, eta: 0:31:54, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4631, decode.acc_seg: 81.7301, aux.loss_ce: 0.3065, aux.acc_seg: 72.5828, loss: 0.7695
2022-11-04 17:06:02,193 - mmseg - INFO - Iter [74250/80000]	lr: 1.122e-05, eta: 0:31:37, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4927, decode.acc_seg: 81.0410, aux.loss_ce: 0.3249, aux.acc_seg: 71.9849, loss: 0.8176
2022-11-04 17:06:18,345 - mmseg - INFO - Iter [74300/80000]	lr: 1.114e-05, eta: 0:31:21, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4894, decode.acc_seg: 81.0280, aux.loss_ce: 0.3068, aux.acc_seg: 72.7858, loss: 0.7962
2022-11-04 17:06:34,578 - mmseg - INFO - Iter [74350/80000]	lr: 1.105e-05, eta: 0:31:04, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4777, decode.acc_seg: 81.4715, aux.loss_ce: 0.3053, aux.acc_seg: 72.4229, loss: 0.7830
2022-11-04 17:06:50,867 - mmseg - INFO - Iter [74400/80000]	lr: 1.096e-05, eta: 0:30:48, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4672, decode.acc_seg: 81.8254, aux.loss_ce: 0.2976, aux.acc_seg: 73.2012, loss: 0.7648
2022-11-04 17:07:07,242 - mmseg - INFO - Iter [74450/80000]	lr: 1.087e-05, eta: 0:30:31, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4864, decode.acc_seg: 81.0849, aux.loss_ce: 0.3187, aux.acc_seg: 71.6505, loss: 0.8052
2022-11-04 17:07:26,442 - mmseg - INFO - Iter [74500/80000]	lr: 1.078e-05, eta: 0:30:15, time: 0.384, data_time: 0.062, memory: 9985, decode.loss_ce: 0.4811, decode.acc_seg: 81.5545, aux.loss_ce: 0.3037, aux.acc_seg: 73.1527, loss: 0.7848
2022-11-04 17:07:42,411 - mmseg - INFO - Iter [74550/80000]	lr: 1.070e-05, eta: 0:29:58, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4738, decode.acc_seg: 81.8954, aux.loss_ce: 0.3089, aux.acc_seg: 72.7474, loss: 0.7827
2022-11-04 17:07:58,432 - mmseg - INFO - Iter [74600/80000]	lr: 1.061e-05, eta: 0:29:42, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4768, decode.acc_seg: 81.4598, aux.loss_ce: 0.3037, aux.acc_seg: 72.6305, loss: 0.7806
2022-11-04 17:08:14,582 - mmseg - INFO - Iter [74650/80000]	lr: 1.052e-05, eta: 0:29:25, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4719, decode.acc_seg: 81.8298, aux.loss_ce: 0.3102, aux.acc_seg: 72.3589, loss: 0.7822
2022-11-04 17:08:30,760 - mmseg - INFO - Iter [74700/80000]	lr: 1.043e-05, eta: 0:29:09, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4765, decode.acc_seg: 81.3895, aux.loss_ce: 0.2993, aux.acc_seg: 73.0022, loss: 0.7758
2022-11-04 17:08:46,965 - mmseg - INFO - Iter [74750/80000]	lr: 1.034e-05, eta: 0:28:52, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4778, decode.acc_seg: 81.4969, aux.loss_ce: 0.3074, aux.acc_seg: 72.5355, loss: 0.7853
2022-11-04 17:09:03,141 - mmseg - INFO - Iter [74800/80000]	lr: 1.025e-05, eta: 0:28:36, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4853, decode.acc_seg: 80.8729, aux.loss_ce: 0.3046, aux.acc_seg: 72.1364, loss: 0.7899
2022-11-04 17:09:19,165 - mmseg - INFO - Iter [74850/80000]	lr: 1.016e-05, eta: 0:28:19, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4768, decode.acc_seg: 81.3623, aux.loss_ce: 0.3080, aux.acc_seg: 72.1725, loss: 0.7849
2022-11-04 17:09:35,217 - mmseg - INFO - Iter [74900/80000]	lr: 1.008e-05, eta: 0:28:03, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4810, decode.acc_seg: 81.2778, aux.loss_ce: 0.3009, aux.acc_seg: 72.4712, loss: 0.7819
2022-11-04 17:09:51,247 - mmseg - INFO - Iter [74950/80000]	lr: 9.987e-06, eta: 0:27:46, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4540, decode.acc_seg: 82.5198, aux.loss_ce: 0.2915, aux.acc_seg: 74.1107, loss: 0.7455
2022-11-04 17:10:07,554 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 17:10:07,554 - mmseg - INFO - Iter [75000/80000]	lr: 9.898e-06, eta: 0:27:30, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4768, decode.acc_seg: 81.8256, aux.loss_ce: 0.3091, aux.acc_seg: 72.9327, loss: 0.7859
2022-11-04 17:10:23,614 - mmseg - INFO - Iter [75050/80000]	lr: 9.809e-06, eta: 0:27:13, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4812, decode.acc_seg: 81.5407, aux.loss_ce: 0.3123, aux.acc_seg: 72.4541, loss: 0.7935
2022-11-04 17:10:42,544 - mmseg - INFO - Iter [75100/80000]	lr: 9.720e-06, eta: 0:26:57, time: 0.379, data_time: 0.063, memory: 9985, decode.loss_ce: 0.4697, decode.acc_seg: 81.6669, aux.loss_ce: 0.3050, aux.acc_seg: 72.8342, loss: 0.7747
2022-11-04 17:10:58,723 - mmseg - INFO - Iter [75150/80000]	lr: 9.630e-06, eta: 0:26:40, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4565, decode.acc_seg: 82.4569, aux.loss_ce: 0.2975, aux.acc_seg: 73.7569, loss: 0.7539
2022-11-04 17:11:14,942 - mmseg - INFO - Iter [75200/80000]	lr: 9.541e-06, eta: 0:26:24, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4655, decode.acc_seg: 82.1689, aux.loss_ce: 0.2973, aux.acc_seg: 73.5580, loss: 0.7629
2022-11-04 17:11:31,094 - mmseg - INFO - Iter [75250/80000]	lr: 9.452e-06, eta: 0:26:07, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4889, decode.acc_seg: 81.1754, aux.loss_ce: 0.3255, aux.acc_seg: 71.1484, loss: 0.8144
2022-11-04 17:11:47,376 - mmseg - INFO - Iter [75300/80000]	lr: 9.362e-06, eta: 0:25:51, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4734, decode.acc_seg: 81.4376, aux.loss_ce: 0.3027, aux.acc_seg: 73.3284, loss: 0.7761
2022-11-04 17:12:03,381 - mmseg - INFO - Iter [75350/80000]	lr: 9.272e-06, eta: 0:25:34, time: 0.320, data_time: 0.008, memory: 9985, decode.loss_ce: 0.4541, decode.acc_seg: 82.3201, aux.loss_ce: 0.3004, aux.acc_seg: 73.1366, loss: 0.7545
2022-11-04 17:12:19,479 - mmseg - INFO - Iter [75400/80000]	lr: 9.183e-06, eta: 0:25:18, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4667, decode.acc_seg: 81.6394, aux.loss_ce: 0.3008, aux.acc_seg: 72.8117, loss: 0.7676
2022-11-04 17:12:35,520 - mmseg - INFO - Iter [75450/80000]	lr: 9.093e-06, eta: 0:25:01, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4806, decode.acc_seg: 81.3437, aux.loss_ce: 0.3060, aux.acc_seg: 72.8207, loss: 0.7865
2022-11-04 17:12:51,692 - mmseg - INFO - Iter [75500/80000]	lr: 9.003e-06, eta: 0:24:45, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4842, decode.acc_seg: 81.3556, aux.loss_ce: 0.3087, aux.acc_seg: 72.6823, loss: 0.7928
2022-11-04 17:13:07,872 - mmseg - INFO - Iter [75550/80000]	lr: 8.913e-06, eta: 0:24:28, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4713, decode.acc_seg: 81.6938, aux.loss_ce: 0.3039, aux.acc_seg: 73.0186, loss: 0.7752
2022-11-04 17:13:23,982 - mmseg - INFO - Iter [75600/80000]	lr: 8.823e-06, eta: 0:24:12, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4706, decode.acc_seg: 81.7976, aux.loss_ce: 0.3002, aux.acc_seg: 73.5480, loss: 0.7708
2022-11-04 17:13:39,948 - mmseg - INFO - Iter [75650/80000]	lr: 8.732e-06, eta: 0:23:55, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4916, decode.acc_seg: 80.8880, aux.loss_ce: 0.3099, aux.acc_seg: 72.5945, loss: 0.8015
2022-11-04 17:13:56,151 - mmseg - INFO - Iter [75700/80000]	lr: 8.642e-06, eta: 0:23:38, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4914, decode.acc_seg: 81.4185, aux.loss_ce: 0.3102, aux.acc_seg: 72.6580, loss: 0.8016
2022-11-04 17:14:15,189 - mmseg - INFO - Iter [75750/80000]	lr: 8.551e-06, eta: 0:23:22, time: 0.381, data_time: 0.064, memory: 9985, decode.loss_ce: 0.4785, decode.acc_seg: 81.4171, aux.loss_ce: 0.3057, aux.acc_seg: 72.4940, loss: 0.7841
2022-11-04 17:14:31,499 - mmseg - INFO - Iter [75800/80000]	lr: 8.461e-06, eta: 0:23:06, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4864, decode.acc_seg: 81.3462, aux.loss_ce: 0.3107, aux.acc_seg: 72.5496, loss: 0.7971
2022-11-04 17:14:47,332 - mmseg - INFO - Iter [75850/80000]	lr: 8.370e-06, eta: 0:22:49, time: 0.317, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4819, decode.acc_seg: 81.2564, aux.loss_ce: 0.3099, aux.acc_seg: 72.4178, loss: 0.7918
2022-11-04 17:15:03,552 - mmseg - INFO - Iter [75900/80000]	lr: 8.279e-06, eta: 0:22:33, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4657, decode.acc_seg: 81.6131, aux.loss_ce: 0.3002, aux.acc_seg: 72.8692, loss: 0.7659
2022-11-04 17:15:19,737 - mmseg - INFO - Iter [75950/80000]	lr: 8.189e-06, eta: 0:22:16, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4807, decode.acc_seg: 81.4733, aux.loss_ce: 0.3009, aux.acc_seg: 73.9478, loss: 0.7815
2022-11-04 17:15:35,850 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 17:15:35,850 - mmseg - INFO - Iter [76000/80000]	lr: 8.098e-06, eta: 0:22:00, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4648, decode.acc_seg: 81.8915, aux.loss_ce: 0.2978, aux.acc_seg: 73.5761, loss: 0.7626
2022-11-04 17:15:51,689 - mmseg - INFO - Iter [76050/80000]	lr: 8.006e-06, eta: 0:21:43, time: 0.317, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4600, decode.acc_seg: 82.0699, aux.loss_ce: 0.2983, aux.acc_seg: 73.0931, loss: 0.7583
2022-11-04 17:16:07,969 - mmseg - INFO - Iter [76100/80000]	lr: 7.915e-06, eta: 0:21:26, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4891, decode.acc_seg: 81.3729, aux.loss_ce: 0.3137, aux.acc_seg: 72.9624, loss: 0.8028
2022-11-04 17:16:24,323 - mmseg - INFO - Iter [76150/80000]	lr: 7.824e-06, eta: 0:21:10, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4886, decode.acc_seg: 80.7851, aux.loss_ce: 0.3097, aux.acc_seg: 72.1332, loss: 0.7983
2022-11-04 17:16:40,731 - mmseg - INFO - Iter [76200/80000]	lr: 7.732e-06, eta: 0:20:53, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4713, decode.acc_seg: 81.6804, aux.loss_ce: 0.3057, aux.acc_seg: 73.2145, loss: 0.7770
2022-11-04 17:16:56,968 - mmseg - INFO - Iter [76250/80000]	lr: 7.641e-06, eta: 0:20:37, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4656, decode.acc_seg: 81.9954, aux.loss_ce: 0.2971, aux.acc_seg: 73.4466, loss: 0.7627
2022-11-04 17:17:13,068 - mmseg - INFO - Iter [76300/80000]	lr: 7.549e-06, eta: 0:20:20, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4782, decode.acc_seg: 81.3416, aux.loss_ce: 0.3091, aux.acc_seg: 72.4364, loss: 0.7872
2022-11-04 17:17:28,926 - mmseg - INFO - Iter [76350/80000]	lr: 7.457e-06, eta: 0:20:04, time: 0.317, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4703, decode.acc_seg: 81.3376, aux.loss_ce: 0.3002, aux.acc_seg: 73.0070, loss: 0.7705
2022-11-04 17:17:48,221 - mmseg - INFO - Iter [76400/80000]	lr: 7.365e-06, eta: 0:19:48, time: 0.386, data_time: 0.067, memory: 9985, decode.loss_ce: 0.4637, decode.acc_seg: 82.2551, aux.loss_ce: 0.2992, aux.acc_seg: 73.4302, loss: 0.7629
2022-11-04 17:18:04,320 - mmseg - INFO - Iter [76450/80000]	lr: 7.273e-06, eta: 0:19:31, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4787, decode.acc_seg: 81.0902, aux.loss_ce: 0.3072, aux.acc_seg: 72.5285, loss: 0.7858
2022-11-04 17:18:20,386 - mmseg - INFO - Iter [76500/80000]	lr: 7.181e-06, eta: 0:19:15, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4879, decode.acc_seg: 81.1950, aux.loss_ce: 0.3140, aux.acc_seg: 72.2622, loss: 0.8019
2022-11-04 17:18:36,546 - mmseg - INFO - Iter [76550/80000]	lr: 7.088e-06, eta: 0:18:58, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4756, decode.acc_seg: 81.7475, aux.loss_ce: 0.3069, aux.acc_seg: 72.5484, loss: 0.7826
2022-11-04 17:18:52,761 - mmseg - INFO - Iter [76600/80000]	lr: 6.996e-06, eta: 0:18:41, time: 0.324, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4761, decode.acc_seg: 81.2129, aux.loss_ce: 0.3037, aux.acc_seg: 72.5758, loss: 0.7798
2022-11-04 17:19:08,941 - mmseg - INFO - Iter [76650/80000]	lr: 6.903e-06, eta: 0:18:25, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4802, decode.acc_seg: 81.4750, aux.loss_ce: 0.3049, aux.acc_seg: 72.6893, loss: 0.7851
2022-11-04 17:19:25,357 - mmseg - INFO - Iter [76700/80000]	lr: 6.811e-06, eta: 0:18:08, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4711, decode.acc_seg: 81.8792, aux.loss_ce: 0.3068, aux.acc_seg: 72.5696, loss: 0.7779
2022-11-04 17:19:41,817 - mmseg - INFO - Iter [76750/80000]	lr: 6.718e-06, eta: 0:17:52, time: 0.329, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4662, decode.acc_seg: 81.5435, aux.loss_ce: 0.2962, aux.acc_seg: 73.3689, loss: 0.7623
2022-11-04 17:19:57,869 - mmseg - INFO - Iter [76800/80000]	lr: 6.625e-06, eta: 0:17:35, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4688, decode.acc_seg: 81.7435, aux.loss_ce: 0.3052, aux.acc_seg: 72.9633, loss: 0.7740
2022-11-04 17:20:13,913 - mmseg - INFO - Iter [76850/80000]	lr: 6.531e-06, eta: 0:17:19, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4830, decode.acc_seg: 81.4754, aux.loss_ce: 0.3094, aux.acc_seg: 72.4211, loss: 0.7924
2022-11-04 17:20:30,318 - mmseg - INFO - Iter [76900/80000]	lr: 6.438e-06, eta: 0:17:02, time: 0.328, data_time: 0.015, memory: 9985, decode.loss_ce: 0.4800, decode.acc_seg: 81.7826, aux.loss_ce: 0.3109, aux.acc_seg: 72.5193, loss: 0.7909
2022-11-04 17:20:46,520 - mmseg - INFO - Iter [76950/80000]	lr: 6.345e-06, eta: 0:16:46, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4841, decode.acc_seg: 81.3613, aux.loss_ce: 0.3045, aux.acc_seg: 72.5931, loss: 0.7886
2022-11-04 17:21:05,461 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 17:21:05,461 - mmseg - INFO - Iter [77000/80000]	lr: 6.251e-06, eta: 0:16:30, time: 0.379, data_time: 0.065, memory: 9985, decode.loss_ce: 0.4764, decode.acc_seg: 81.7006, aux.loss_ce: 0.3002, aux.acc_seg: 73.4560, loss: 0.7766
2022-11-04 17:21:21,654 - mmseg - INFO - Iter [77050/80000]	lr: 6.157e-06, eta: 0:16:13, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4864, decode.acc_seg: 81.2522, aux.loss_ce: 0.3106, aux.acc_seg: 72.8501, loss: 0.7970
2022-11-04 17:21:37,909 - mmseg - INFO - Iter [77100/80000]	lr: 6.063e-06, eta: 0:15:56, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4835, decode.acc_seg: 81.5802, aux.loss_ce: 0.3097, aux.acc_seg: 72.5513, loss: 0.7932
2022-11-04 17:21:54,362 - mmseg - INFO - Iter [77150/80000]	lr: 5.969e-06, eta: 0:15:40, time: 0.329, data_time: 0.008, memory: 9985, decode.loss_ce: 0.4768, decode.acc_seg: 81.7823, aux.loss_ce: 0.3121, aux.acc_seg: 72.6574, loss: 0.7890
2022-11-04 17:22:10,434 - mmseg - INFO - Iter [77200/80000]	lr: 5.875e-06, eta: 0:15:23, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4646, decode.acc_seg: 81.9955, aux.loss_ce: 0.3056, aux.acc_seg: 73.1908, loss: 0.7702
2022-11-04 17:22:26,459 - mmseg - INFO - Iter [77250/80000]	lr: 5.780e-06, eta: 0:15:07, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4778, decode.acc_seg: 81.9001, aux.loss_ce: 0.3021, aux.acc_seg: 72.8378, loss: 0.7800
2022-11-04 17:22:42,738 - mmseg - INFO - Iter [77300/80000]	lr: 5.686e-06, eta: 0:14:50, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4697, decode.acc_seg: 81.7050, aux.loss_ce: 0.3116, aux.acc_seg: 72.3502, loss: 0.7813
2022-11-04 17:22:58,984 - mmseg - INFO - Iter [77350/80000]	lr: 5.591e-06, eta: 0:14:34, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4602, decode.acc_seg: 82.0547, aux.loss_ce: 0.2984, aux.acc_seg: 73.3980, loss: 0.7587
2022-11-04 17:23:15,309 - mmseg - INFO - Iter [77400/80000]	lr: 5.496e-06, eta: 0:14:17, time: 0.327, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4660, decode.acc_seg: 81.9223, aux.loss_ce: 0.3060, aux.acc_seg: 72.6430, loss: 0.7720
2022-11-04 17:23:31,323 - mmseg - INFO - Iter [77450/80000]	lr: 5.401e-06, eta: 0:14:01, time: 0.320, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4658, decode.acc_seg: 81.9602, aux.loss_ce: 0.3024, aux.acc_seg: 73.1944, loss: 0.7682
2022-11-04 17:23:47,330 - mmseg - INFO - Iter [77500/80000]	lr: 5.305e-06, eta: 0:13:44, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4797, decode.acc_seg: 81.6125, aux.loss_ce: 0.3112, aux.acc_seg: 72.6840, loss: 0.7909
2022-11-04 17:24:03,456 - mmseg - INFO - Iter [77550/80000]	lr: 5.210e-06, eta: 0:13:28, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4904, decode.acc_seg: 81.0474, aux.loss_ce: 0.3096, aux.acc_seg: 72.4164, loss: 0.8000
2022-11-04 17:24:19,368 - mmseg - INFO - Iter [77600/80000]	lr: 5.114e-06, eta: 0:13:11, time: 0.318, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4782, decode.acc_seg: 81.2225, aux.loss_ce: 0.3053, aux.acc_seg: 72.3434, loss: 0.7835
2022-11-04 17:24:38,626 - mmseg - INFO - Iter [77650/80000]	lr: 5.018e-06, eta: 0:12:55, time: 0.385, data_time: 0.065, memory: 9985, decode.loss_ce: 0.4652, decode.acc_seg: 81.7737, aux.loss_ce: 0.3058, aux.acc_seg: 72.4543, loss: 0.7710
2022-11-04 17:24:54,881 - mmseg - INFO - Iter [77700/80000]	lr: 4.922e-06, eta: 0:12:38, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4770, decode.acc_seg: 81.7124, aux.loss_ce: 0.3041, aux.acc_seg: 73.1091, loss: 0.7811
2022-11-04 17:25:11,079 - mmseg - INFO - Iter [77750/80000]	lr: 4.825e-06, eta: 0:12:22, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4641, decode.acc_seg: 81.8998, aux.loss_ce: 0.3027, aux.acc_seg: 72.8383, loss: 0.7668
2022-11-04 17:25:27,136 - mmseg - INFO - Iter [77800/80000]	lr: 4.729e-06, eta: 0:12:05, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4686, decode.acc_seg: 81.9852, aux.loss_ce: 0.2955, aux.acc_seg: 73.6028, loss: 0.7641
2022-11-04 17:25:43,217 - mmseg - INFO - Iter [77850/80000]	lr: 4.632e-06, eta: 0:11:49, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4842, decode.acc_seg: 81.3117, aux.loss_ce: 0.3091, aux.acc_seg: 72.6044, loss: 0.7933
2022-11-04 17:25:59,308 - mmseg - INFO - Iter [77900/80000]	lr: 4.535e-06, eta: 0:11:32, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4739, decode.acc_seg: 81.2415, aux.loss_ce: 0.3024, aux.acc_seg: 72.8117, loss: 0.7764
2022-11-04 17:26:15,371 - mmseg - INFO - Iter [77950/80000]	lr: 4.438e-06, eta: 0:11:16, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4752, decode.acc_seg: 81.5641, aux.loss_ce: 0.3109, aux.acc_seg: 72.2841, loss: 0.7861
2022-11-04 17:26:31,239 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 17:26:31,240 - mmseg - INFO - Iter [78000/80000]	lr: 4.340e-06, eta: 0:10:59, time: 0.317, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4936, decode.acc_seg: 81.0591, aux.loss_ce: 0.3084, aux.acc_seg: 72.6175, loss: 0.8020
2022-11-04 17:26:47,447 - mmseg - INFO - Iter [78050/80000]	lr: 4.243e-06, eta: 0:10:43, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4789, decode.acc_seg: 81.4045, aux.loss_ce: 0.3081, aux.acc_seg: 72.6098, loss: 0.7870
2022-11-04 17:27:03,431 - mmseg - INFO - Iter [78100/80000]	lr: 4.145e-06, eta: 0:10:26, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4897, decode.acc_seg: 80.6037, aux.loss_ce: 0.3147, aux.acc_seg: 71.7965, loss: 0.8044
2022-11-04 17:27:19,660 - mmseg - INFO - Iter [78150/80000]	lr: 4.046e-06, eta: 0:10:10, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4918, decode.acc_seg: 81.1629, aux.loss_ce: 0.3163, aux.acc_seg: 72.6957, loss: 0.8080
2022-11-04 17:27:36,036 - mmseg - INFO - Iter [78200/80000]	lr: 3.948e-06, eta: 0:09:53, time: 0.328, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4736, decode.acc_seg: 81.6211, aux.loss_ce: 0.3067, aux.acc_seg: 73.1222, loss: 0.7803
2022-11-04 17:27:55,124 - mmseg - INFO - Iter [78250/80000]	lr: 3.849e-06, eta: 0:09:37, time: 0.382, data_time: 0.067, memory: 9985, decode.loss_ce: 0.4823, decode.acc_seg: 81.3885, aux.loss_ce: 0.3046, aux.acc_seg: 72.9398, loss: 0.7869
2022-11-04 17:28:11,410 - mmseg - INFO - Iter [78300/80000]	lr: 3.750e-06, eta: 0:09:20, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4793, decode.acc_seg: 81.5767, aux.loss_ce: 0.3079, aux.acc_seg: 72.6376, loss: 0.7872
2022-11-04 17:28:27,581 - mmseg - INFO - Iter [78350/80000]	lr: 3.651e-06, eta: 0:09:04, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4669, decode.acc_seg: 81.9740, aux.loss_ce: 0.3042, aux.acc_seg: 72.9423, loss: 0.7711
2022-11-04 17:28:43,730 - mmseg - INFO - Iter [78400/80000]	lr: 3.551e-06, eta: 0:08:47, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4701, decode.acc_seg: 81.9120, aux.loss_ce: 0.3013, aux.acc_seg: 73.3746, loss: 0.7714
2022-11-04 17:28:59,811 - mmseg - INFO - Iter [78450/80000]	lr: 3.451e-06, eta: 0:08:31, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4545, decode.acc_seg: 81.9871, aux.loss_ce: 0.2975, aux.acc_seg: 73.0645, loss: 0.7520
2022-11-04 17:29:16,094 - mmseg - INFO - Iter [78500/80000]	lr: 3.351e-06, eta: 0:08:14, time: 0.326, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4738, decode.acc_seg: 81.8890, aux.loss_ce: 0.3010, aux.acc_seg: 73.2132, loss: 0.7748
2022-11-04 17:29:32,047 - mmseg - INFO - Iter [78550/80000]	lr: 3.250e-06, eta: 0:07:58, time: 0.319, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4778, decode.acc_seg: 81.7742, aux.loss_ce: 0.3025, aux.acc_seg: 73.3448, loss: 0.7802
2022-11-04 17:29:48,495 - mmseg - INFO - Iter [78600/80000]	lr: 3.149e-06, eta: 0:07:41, time: 0.329, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4591, decode.acc_seg: 82.2175, aux.loss_ce: 0.2951, aux.acc_seg: 73.5664, loss: 0.7543
2022-11-04 17:30:04,765 - mmseg - INFO - Iter [78650/80000]	lr: 3.048e-06, eta: 0:07:25, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4609, decode.acc_seg: 81.9492, aux.loss_ce: 0.3009, aux.acc_seg: 73.0695, loss: 0.7618
2022-11-04 17:30:20,786 - mmseg - INFO - Iter [78700/80000]	lr: 2.946e-06, eta: 0:07:08, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4847, decode.acc_seg: 81.3147, aux.loss_ce: 0.3116, aux.acc_seg: 72.5812, loss: 0.7963
2022-11-04 17:30:36,867 - mmseg - INFO - Iter [78750/80000]	lr: 2.844e-06, eta: 0:06:52, time: 0.322, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4655, decode.acc_seg: 81.9893, aux.loss_ce: 0.3024, aux.acc_seg: 73.1137, loss: 0.7679
2022-11-04 17:30:53,003 - mmseg - INFO - Iter [78800/80000]	lr: 2.742e-06, eta: 0:06:35, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4784, decode.acc_seg: 81.6026, aux.loss_ce: 0.3095, aux.acc_seg: 72.5448, loss: 0.7879
2022-11-04 17:31:09,329 - mmseg - INFO - Iter [78850/80000]	lr: 2.639e-06, eta: 0:06:19, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4788, decode.acc_seg: 81.4024, aux.loss_ce: 0.3213, aux.acc_seg: 71.7478, loss: 0.8001
2022-11-04 17:31:28,526 - mmseg - INFO - Iter [78900/80000]	lr: 2.535e-06, eta: 0:06:02, time: 0.384, data_time: 0.062, memory: 9985, decode.loss_ce: 0.4761, decode.acc_seg: 81.5939, aux.loss_ce: 0.3104, aux.acc_seg: 72.4374, loss: 0.7865
2022-11-04 17:31:44,563 - mmseg - INFO - Iter [78950/80000]	lr: 2.431e-06, eta: 0:05:46, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4805, decode.acc_seg: 81.6283, aux.loss_ce: 0.3160, aux.acc_seg: 72.6161, loss: 0.7965
2022-11-04 17:32:00,807 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 17:32:00,808 - mmseg - INFO - Iter [79000/80000]	lr: 2.327e-06, eta: 0:05:29, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4658, decode.acc_seg: 81.9122, aux.loss_ce: 0.2992, aux.acc_seg: 73.3914, loss: 0.7650
2022-11-04 17:32:16,820 - mmseg - INFO - Iter [79050/80000]	lr: 2.222e-06, eta: 0:05:13, time: 0.320, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4674, decode.acc_seg: 81.9322, aux.loss_ce: 0.3029, aux.acc_seg: 73.4211, loss: 0.7703
2022-11-04 17:32:33,091 - mmseg - INFO - Iter [79100/80000]	lr: 2.117e-06, eta: 0:04:56, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4696, decode.acc_seg: 81.6134, aux.loss_ce: 0.3032, aux.acc_seg: 72.9713, loss: 0.7727
2022-11-04 17:32:49,218 - mmseg - INFO - Iter [79150/80000]	lr: 2.011e-06, eta: 0:04:40, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4562, decode.acc_seg: 81.9714, aux.loss_ce: 0.2970, aux.acc_seg: 72.8852, loss: 0.7531
2022-11-04 17:33:05,254 - mmseg - INFO - Iter [79200/80000]	lr: 1.904e-06, eta: 0:04:23, time: 0.321, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4669, decode.acc_seg: 81.8323, aux.loss_ce: 0.2898, aux.acc_seg: 74.1516, loss: 0.7567
2022-11-04 17:33:21,322 - mmseg - INFO - Iter [79250/80000]	lr: 1.797e-06, eta: 0:04:07, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4746, decode.acc_seg: 81.5241, aux.loss_ce: 0.3039, aux.acc_seg: 72.7800, loss: 0.7785
2022-11-04 17:33:37,589 - mmseg - INFO - Iter [79300/80000]	lr: 1.689e-06, eta: 0:03:50, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4736, decode.acc_seg: 81.4597, aux.loss_ce: 0.3055, aux.acc_seg: 72.8018, loss: 0.7791
2022-11-04 17:33:53,994 - mmseg - INFO - Iter [79350/80000]	lr: 1.580e-06, eta: 0:03:34, time: 0.328, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4645, decode.acc_seg: 81.7078, aux.loss_ce: 0.3014, aux.acc_seg: 72.9859, loss: 0.7658
2022-11-04 17:34:10,030 - mmseg - INFO - Iter [79400/80000]	lr: 1.470e-06, eta: 0:03:17, time: 0.321, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4889, decode.acc_seg: 81.1805, aux.loss_ce: 0.3096, aux.acc_seg: 72.4000, loss: 0.7985
2022-11-04 17:34:26,158 - mmseg - INFO - Iter [79450/80000]	lr: 1.360e-06, eta: 0:03:01, time: 0.323, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4713, decode.acc_seg: 81.7116, aux.loss_ce: 0.3058, aux.acc_seg: 73.0038, loss: 0.7771
2022-11-04 17:34:42,425 - mmseg - INFO - Iter [79500/80000]	lr: 1.248e-06, eta: 0:02:44, time: 0.325, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4656, decode.acc_seg: 81.8601, aux.loss_ce: 0.2999, aux.acc_seg: 73.0106, loss: 0.7655
2022-11-04 17:35:01,459 - mmseg - INFO - Iter [79550/80000]	lr: 1.135e-06, eta: 0:02:28, time: 0.381, data_time: 0.070, memory: 9985, decode.loss_ce: 0.4701, decode.acc_seg: 81.6753, aux.loss_ce: 0.3042, aux.acc_seg: 72.9481, loss: 0.7743
2022-11-04 17:35:17,577 - mmseg - INFO - Iter [79600/80000]	lr: 1.021e-06, eta: 0:02:11, time: 0.322, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4562, decode.acc_seg: 82.2983, aux.loss_ce: 0.3046, aux.acc_seg: 72.9193, loss: 0.7608
2022-11-04 17:35:33,706 - mmseg - INFO - Iter [79650/80000]	lr: 9.061e-07, eta: 0:01:55, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4774, decode.acc_seg: 80.8671, aux.loss_ce: 0.3007, aux.acc_seg: 72.6097, loss: 0.7781
2022-11-04 17:35:50,003 - mmseg - INFO - Iter [79700/80000]	lr: 7.891e-07, eta: 0:01:38, time: 0.326, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4614, decode.acc_seg: 82.2091, aux.loss_ce: 0.2966, aux.acc_seg: 73.8950, loss: 0.7580
2022-11-04 17:36:06,277 - mmseg - INFO - Iter [79750/80000]	lr: 6.700e-07, eta: 0:01:22, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4618, decode.acc_seg: 82.3423, aux.loss_ce: 0.3002, aux.acc_seg: 73.2220, loss: 0.7619
2022-11-04 17:36:22,511 - mmseg - INFO - Iter [79800/80000]	lr: 5.486e-07, eta: 0:01:05, time: 0.325, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4830, decode.acc_seg: 81.4176, aux.loss_ce: 0.3043, aux.acc_seg: 72.4885, loss: 0.7873
2022-11-04 17:36:38,709 - mmseg - INFO - Iter [79850/80000]	lr: 4.241e-07, eta: 0:00:49, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4874, decode.acc_seg: 81.0341, aux.loss_ce: 0.3112, aux.acc_seg: 72.2840, loss: 0.7986
2022-11-04 17:36:54,852 - mmseg - INFO - Iter [79900/80000]	lr: 2.953e-07, eta: 0:00:32, time: 0.323, data_time: 0.010, memory: 9985, decode.loss_ce: 0.4701, decode.acc_seg: 81.8229, aux.loss_ce: 0.3006, aux.acc_seg: 73.1168, loss: 0.7707
2022-11-04 17:37:11,055 - mmseg - INFO - Iter [79950/80000]	lr: 1.597e-07, eta: 0:00:16, time: 0.324, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4814, decode.acc_seg: 81.2161, aux.loss_ce: 0.3028, aux.acc_seg: 73.0773, loss: 0.7843
2022-11-04 17:37:27,184 - mmseg - INFO - Saving checkpoint at 80000 iterations
2022-11-04 17:37:27,409 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 17:37:27,410 - mmseg - INFO - Iter [80000/80000]	lr: 4.639e-09, eta: 0:00:00, time: 0.327, data_time: 0.009, memory: 9985, decode.loss_ce: 0.4769, decode.acc_seg: 81.6737, aux.loss_ce: 0.3002, aux.acc_seg: 73.3199, loss: 0.7771
2022-11-04 17:37:36,161 - mmseg - INFO - per class results:
2022-11-04 17:37:36,168 - mmseg - INFO - 
+---------------------+-------+-------+
|        Class        |  IoU  |  Acc  |
+---------------------+-------+-------+
|         wall        | 65.61 | 84.48 |
|       building      | 75.05 | 88.99 |
|         sky         | 90.43 | 95.32 |
|        floor        | 70.04 | 84.65 |
|         tree        |  65.4 | 83.04 |
|       ceiling       | 75.65 | 85.41 |
|         road        | 76.34 | 85.63 |
|         bed         | 73.58 |  89.1 |
|      windowpane     | 49.14 | 67.21 |
|        grass        | 60.51 | 77.38 |
|       cabinet       |  46.5 | 60.81 |
|       sidewalk      | 52.48 | 71.19 |
|        person       | 63.58 | 80.65 |
|        earth        | 28.66 | 40.44 |
|         door        | 27.13 | 36.42 |
|        table        | 38.91 | 54.05 |
|       mountain      | 52.08 | 72.73 |
|        plant        |  39.5 |  50.4 |
|       curtain       | 54.01 | 69.47 |
|        chair        | 35.26 | 49.99 |
|         car         | 70.97 | 85.07 |
|        water        | 44.77 | 58.79 |
|       painting      |  54.1 |  69.1 |
|         sofa        | 47.45 |  66.1 |
|        shelf        | 33.46 | 48.85 |
|        house        | 45.58 | 59.91 |
|         sea         | 45.67 | 71.55 |
|        mirror       | 39.92 | 48.47 |
|         rug         | 37.76 | 45.84 |
|        field        |  21.5 | 35.73 |
|       armchair      | 23.84 | 34.21 |
|         seat        | 51.54 | 68.28 |
|        fence        | 16.62 | 20.61 |
|         desk        | 34.72 | 55.41 |
|         rock        | 33.01 | 52.08 |
|       wardrobe      | 41.78 | 56.23 |
|         lamp        | 35.13 | 49.29 |
|       bathtub       | 51.86 | 66.57 |
|       railing       | 26.46 | 41.66 |
|       cushion       | 30.15 | 39.61 |
|         base        | 19.92 | 27.64 |
|         box         | 10.37 | 13.48 |
|        column       | 28.55 | 35.79 |
|      signboard      | 20.52 | 27.49 |
|   chest of drawers  | 32.48 | 48.17 |
|       counter       | 28.88 | 33.85 |
|         sand        | 20.64 | 36.97 |
|         sink        | 42.57 | 55.28 |
|      skyscraper     | 50.06 | 63.94 |
|      fireplace      | 50.82 | 68.09 |
|     refrigerator    | 50.53 | 64.98 |
|      grandstand     |  47.8 |  64.1 |
|         path        | 18.07 | 24.49 |
|        stairs       | 20.12 |  25.8 |
|        runway       | 72.66 | 90.99 |
|         case        |  35.4 | 49.19 |
|      pool table     | 80.57 | 89.51 |
|        pillow       | 35.29 | 46.45 |
|     screen door     | 49.67 | 59.54 |
|       stairway      | 22.14 |  31.1 |
|        river        |  9.68 | 22.33 |
|        bridge       | 23.97 | 32.11 |
|       bookcase      | 27.85 | 41.81 |
|        blind        | 14.04 | 16.88 |
|     coffee table    | 38.03 | 66.58 |
|        toilet       | 61.53 | 77.98 |
|        flower       | 20.73 | 35.49 |
|         book        | 39.23 | 56.72 |
|         hill        |  3.63 |  6.13 |
|        bench        | 32.58 | 44.08 |
|      countertop     | 37.37 | 55.22 |
|        stove        | 47.39 | 59.17 |
|         palm        | 34.76 | 50.65 |
|    kitchen island   | 18.69 | 44.98 |
|       computer      | 42.55 |  58.1 |
|     swivel chair    | 24.01 | 35.44 |
|         boat        | 28.48 | 42.64 |
|         bar         | 11.49 | 13.64 |
|    arcade machine   | 27.09 | 30.61 |
|        hovel        | 49.65 | 60.35 |
|         bus         | 63.33 | 81.86 |
|        towel        | 31.77 |  41.8 |
|        light        | 14.74 | 16.16 |
|        truck        |  8.73 | 10.23 |
|        tower        |  36.8 | 46.22 |
|      chandelier     | 46.35 |  57.4 |
|        awning       | 14.25 | 17.26 |
|     streetlight     |  5.11 |  5.78 |
|        booth        | 28.56 | 33.36 |
| television receiver | 49.01 | 60.57 |
|       airplane      | 41.43 | 53.96 |
|      dirt track     | 14.22 | 18.86 |
|       apparel       |  18.3 | 24.55 |
|         pole        |  3.44 |  3.9  |
|         land        |  0.91 |  1.18 |
|      bannister      |  6.86 |  9.61 |
|      escalator      | 21.75 | 23.39 |
|       ottoman       | 12.45 | 14.49 |
|        bottle       | 10.38 | 11.63 |
|        buffet       | 35.45 | 43.56 |
|        poster       |  8.76 | 10.74 |
|        stage        | 10.74 | 15.09 |
|         van         | 19.86 | 23.42 |
|         ship        |  60.1 | 90.49 |
|       fountain      | 18.27 |  18.6 |
|    conveyer belt    |  59.4 |  70.6 |
|        canopy       | 25.26 | 42.75 |
|        washer       | 58.01 | 66.73 |
|      plaything      |  3.71 |  5.18 |
|    swimming pool    | 26.53 | 39.29 |
|        stool        |  4.59 |  5.28 |
|        barrel       | 27.55 |  54.4 |
|        basket       | 11.42 | 13.63 |
|      waterfall      | 48.77 | 63.78 |
|         tent        | 82.34 | 97.99 |
|         bag         |  1.79 |  1.96 |
|       minibike      | 48.43 | 60.84 |
|        cradle       | 55.03 | 79.09 |
|         oven        | 26.51 | 32.63 |
|         ball        | 24.45 | 32.76 |
|         food        | 41.34 | 53.65 |
|         step        |  6.29 |  8.29 |
|         tank        | 28.58 | 33.63 |
|      trade name     | 17.18 | 18.94 |
|      microwave      | 23.46 |  26.0 |
|         pot         |  28.9 | 34.97 |
|        animal       | 37.77 | 43.74 |
|       bicycle       | 38.52 | 51.21 |
|         lake        | 53.93 | 59.93 |
|      dishwasher     | 32.44 | 45.62 |
|        screen       | 52.79 | 66.46 |
|       blanket       |  0.58 |  0.64 |
|      sculpture      |  17.4 | 22.06 |
|         hood        | 26.94 | 31.26 |
|        sconce       |  10.3 | 11.15 |
|         vase        | 14.42 | 20.25 |
|    traffic light    | 11.36 | 14.03 |
|         tray        |  1.81 |  4.09 |
|        ashcan       | 13.96 | 17.53 |
|         fan         | 23.89 | 28.55 |
|         pier        | 50.69 | 72.87 |
|      crt screen     |  0.0  |  0.0  |
|        plate        | 28.09 |  35.1 |
|       monitor       |  2.62 |  2.72 |
|    bulletin board   | 26.78 | 32.37 |
|        shower       |  0.0  |  0.0  |
|       radiator      |  29.9 | 33.23 |
|        glass        |  1.91 |  1.97 |
|        clock        |  6.69 |  8.09 |
|         flag        | 15.11 | 16.67 |
+---------------------+-------+-------+
2022-11-04 17:37:36,168 - mmseg - INFO - Summary:
2022-11-04 17:37:36,169 - mmseg - INFO - 
+-------+-------+-------+
|  aAcc |  mIoU |  mAcc |
+-------+-------+-------+
| 74.81 | 33.23 | 43.36 |
+-------+-------+-------+
2022-11-04 17:37:36,170 - mmseg - INFO - Exp name: pspnet_metamobile1M_512x512_80k_ade20k_256.py
2022-11-04 17:37:36,170 - mmseg - INFO - Iter(val) [250]	aAcc: 0.7481, mIoU: 0.3323, mAcc: 0.4336, IoU.wall: 0.6561, IoU.building: 0.7505, IoU.sky: 0.9043, IoU.floor: 0.7004, IoU.tree: 0.6540, IoU.ceiling: 0.7565, IoU.road: 0.7634, IoU.bed : 0.7358, IoU.windowpane: 0.4914, IoU.grass: 0.6051, IoU.cabinet: 0.4650, IoU.sidewalk: 0.5248, IoU.person: 0.6358, IoU.earth: 0.2866, IoU.door: 0.2713, IoU.table: 0.3891, IoU.mountain: 0.5208, IoU.plant: 0.3950, IoU.curtain: 0.5401, IoU.chair: 0.3526, IoU.car: 0.7097, IoU.water: 0.4477, IoU.painting: 0.5410, IoU.sofa: 0.4745, IoU.shelf: 0.3346, IoU.house: 0.4558, IoU.sea: 0.4567, IoU.mirror: 0.3992, IoU.rug: 0.3776, IoU.field: 0.2150, IoU.armchair: 0.2384, IoU.seat: 0.5154, IoU.fence: 0.1662, IoU.desk: 0.3472, IoU.rock: 0.3301, IoU.wardrobe: 0.4178, IoU.lamp: 0.3513, IoU.bathtub: 0.5186, IoU.railing: 0.2646, IoU.cushion: 0.3015, IoU.base: 0.1992, IoU.box: 0.1037, IoU.column: 0.2855, IoU.signboard: 0.2052, IoU.chest of drawers: 0.3248, IoU.counter: 0.2888, IoU.sand: 0.2064, IoU.sink: 0.4257, IoU.skyscraper: 0.5006, IoU.fireplace: 0.5082, IoU.refrigerator: 0.5053, IoU.grandstand: 0.4780, IoU.path: 0.1807, IoU.stairs: 0.2012, IoU.runway: 0.7266, IoU.case: 0.3540, IoU.pool table: 0.8057, IoU.pillow: 0.3529, IoU.screen door: 0.4967, IoU.stairway: 0.2214, IoU.river: 0.0968, IoU.bridge: 0.2397, IoU.bookcase: 0.2785, IoU.blind: 0.1404, IoU.coffee table: 0.3803, IoU.toilet: 0.6153, IoU.flower: 0.2073, IoU.book: 0.3923, IoU.hill: 0.0363, IoU.bench: 0.3258, IoU.countertop: 0.3737, IoU.stove: 0.4739, IoU.palm: 0.3476, IoU.kitchen island: 0.1869, IoU.computer: 0.4255, IoU.swivel chair: 0.2401, IoU.boat: 0.2848, IoU.bar: 0.1149, IoU.arcade machine: 0.2709, IoU.hovel: 0.4965, IoU.bus: 0.6333, IoU.towel: 0.3177, IoU.light: 0.1474, IoU.truck: 0.0873, IoU.tower: 0.3680, IoU.chandelier: 0.4635, IoU.awning: 0.1425, IoU.streetlight: 0.0511, IoU.booth: 0.2856, IoU.television receiver: 0.4901, IoU.airplane: 0.4143, IoU.dirt track: 0.1422, IoU.apparel: 0.1830, IoU.pole: 0.0344, IoU.land: 0.0091, IoU.bannister: 0.0686, IoU.escalator: 0.2175, IoU.ottoman: 0.1245, IoU.bottle: 0.1038, IoU.buffet: 0.3545, IoU.poster: 0.0876, IoU.stage: 0.1074, IoU.van: 0.1986, IoU.ship: 0.6010, IoU.fountain: 0.1827, IoU.conveyer belt: 0.5940, IoU.canopy: 0.2526, IoU.washer: 0.5801, IoU.plaything: 0.0371, IoU.swimming pool: 0.2653, IoU.stool: 0.0459, IoU.barrel: 0.2755, IoU.basket: 0.1142, IoU.waterfall: 0.4877, IoU.tent: 0.8234, IoU.bag: 0.0179, IoU.minibike: 0.4843, IoU.cradle: 0.5503, IoU.oven: 0.2651, IoU.ball: 0.2445, IoU.food: 0.4134, IoU.step: 0.0629, IoU.tank: 0.2858, IoU.trade name: 0.1718, IoU.microwave: 0.2346, IoU.pot: 0.2890, IoU.animal: 0.3777, IoU.bicycle: 0.3852, IoU.lake: 0.5393, IoU.dishwasher: 0.3244, IoU.screen: 0.5279, IoU.blanket: 0.0058, IoU.sculpture: 0.1740, IoU.hood: 0.2694, IoU.sconce: 0.1030, IoU.vase: 0.1442, IoU.traffic light: 0.1136, IoU.tray: 0.0181, IoU.ashcan: 0.1396, IoU.fan: 0.2389, IoU.pier: 0.5069, IoU.crt screen: 0.0000, IoU.plate: 0.2809, IoU.monitor: 0.0262, IoU.bulletin board: 0.2678, IoU.shower: 0.0000, IoU.radiator: 0.2990, IoU.glass: 0.0191, IoU.clock: 0.0669, IoU.flag: 0.1511, Acc.wall: 0.8448, Acc.building: 0.8899, Acc.sky: 0.9532, Acc.floor: 0.8465, Acc.tree: 0.8304, Acc.ceiling: 0.8541, Acc.road: 0.8563, Acc.bed : 0.8910, Acc.windowpane: 0.6721, Acc.grass: 0.7738, Acc.cabinet: 0.6081, Acc.sidewalk: 0.7119, Acc.person: 0.8065, Acc.earth: 0.4044, Acc.door: 0.3642, Acc.table: 0.5405, Acc.mountain: 0.7273, Acc.plant: 0.5040, Acc.curtain: 0.6947, Acc.chair: 0.4999, Acc.car: 0.8507, Acc.water: 0.5879, Acc.painting: 0.6910, Acc.sofa: 0.6610, Acc.shelf: 0.4885, Acc.house: 0.5991, Acc.sea: 0.7155, Acc.mirror: 0.4847, Acc.rug: 0.4584, Acc.field: 0.3573, Acc.armchair: 0.3421, Acc.seat: 0.6828, Acc.fence: 0.2061, Acc.desk: 0.5541, Acc.rock: 0.5208, Acc.wardrobe: 0.5623, Acc.lamp: 0.4929, Acc.bathtub: 0.6657, Acc.railing: 0.4166, Acc.cushion: 0.3961, Acc.base: 0.2764, Acc.box: 0.1348, Acc.column: 0.3579, Acc.signboard: 0.2749, Acc.chest of drawers: 0.4817, Acc.counter: 0.3385, Acc.sand: 0.3697, Acc.sink: 0.5528, Acc.skyscraper: 0.6394, Acc.fireplace: 0.6809, Acc.refrigerator: 0.6498, Acc.grandstand: 0.6410, Acc.path: 0.2449, Acc.stairs: 0.2580, Acc.runway: 0.9099, Acc.case: 0.4919, Acc.pool table: 0.8951, Acc.pillow: 0.4645, Acc.screen door: 0.5954, Acc.stairway: 0.3110, Acc.river: 0.2233, Acc.bridge: 0.3211, Acc.bookcase: 0.4181, Acc.blind: 0.1688, Acc.coffee table: 0.6658, Acc.toilet: 0.7798, Acc.flower: 0.3549, Acc.book: 0.5672, Acc.hill: 0.0613, Acc.bench: 0.4408, Acc.countertop: 0.5522, Acc.stove: 0.5917, Acc.palm: 0.5065, Acc.kitchen island: 0.4498, Acc.computer: 0.5810, Acc.swivel chair: 0.3544, Acc.boat: 0.4264, Acc.bar: 0.1364, Acc.arcade machine: 0.3061, Acc.hovel: 0.6035, Acc.bus: 0.8186, Acc.towel: 0.4180, Acc.light: 0.1616, Acc.truck: 0.1023, Acc.tower: 0.4622, Acc.chandelier: 0.5740, Acc.awning: 0.1726, Acc.streetlight: 0.0578, Acc.booth: 0.3336, Acc.television receiver: 0.6057, Acc.airplane: 0.5396, Acc.dirt track: 0.1886, Acc.apparel: 0.2455, Acc.pole: 0.0390, Acc.land: 0.0118, Acc.bannister: 0.0961, Acc.escalator: 0.2339, Acc.ottoman: 0.1449, Acc.bottle: 0.1163, Acc.buffet: 0.4356, Acc.poster: 0.1074, Acc.stage: 0.1509, Acc.van: 0.2342, Acc.ship: 0.9049, Acc.fountain: 0.1860, Acc.conveyer belt: 0.7060, Acc.canopy: 0.4275, Acc.washer: 0.6673, Acc.plaything: 0.0518, Acc.swimming pool: 0.3929, Acc.stool: 0.0528, Acc.barrel: 0.5440, Acc.basket: 0.1363, Acc.waterfall: 0.6378, Acc.tent: 0.9799, Acc.bag: 0.0196, Acc.minibike: 0.6084, Acc.cradle: 0.7909, Acc.oven: 0.3263, Acc.ball: 0.3276, Acc.food: 0.5365, Acc.step: 0.0829, Acc.tank: 0.3363, Acc.trade name: 0.1894, Acc.microwave: 0.2600, Acc.pot: 0.3497, Acc.animal: 0.4374, Acc.bicycle: 0.5121, Acc.lake: 0.5993, Acc.dishwasher: 0.4562, Acc.screen: 0.6646, Acc.blanket: 0.0064, Acc.sculpture: 0.2206, Acc.hood: 0.3126, Acc.sconce: 0.1115, Acc.vase: 0.2025, Acc.traffic light: 0.1403, Acc.tray: 0.0409, Acc.ashcan: 0.1753, Acc.fan: 0.2855, Acc.pier: 0.7287, Acc.crt screen: 0.0000, Acc.plate: 0.3510, Acc.monitor: 0.0272, Acc.bulletin board: 0.3237, Acc.shower: 0.0000, Acc.radiator: 0.3323, Acc.glass: 0.0197, Acc.clock: 0.0809, Acc.flag: 0.1667